From c0933d11663352bf9fdbae79f502df60b798225b Mon Sep 17 00:00:00 2001 From: Andrey Golovanov Date: Sun, 4 Oct 2026 14:59:22 -0700 Subject: [PATCH 1/2] Integrate TopoGen APIs and simplify NetLab execution --- .superset/workspace.sh | 1 - CHANGELOG.md | 45 +- Makefile | 16 +- README.md | 231 +- dev/ARCHITECTURE.md | 75 + dev/METRICS_VERIFICATION.md | 108 + dev/check_ngraph_integration.sh | 2 +- dev/regenerate_fixtures.py | 72 +- dev/run-checks.sh | 7 +- dev/verify_metrics.py | 537 + experiments/dc-bb-interconnect/README.md | 2 +- .../debug/test1_simple_chain.yml | 2 +- .../debug/test3_combine_mode.yml | 2 +- .../debug/test4_multi_bb.yml | 2 +- experiments/dc-bb-interconnect/run.py | 62 +- .../scenario.yml | 3 +- .../scenario.yml | 3 +- .../scenario.yml | 3 +- .../scenario.yml | 3 +- .../scenario.yml | 11 +- .../scenario.yml | 3 +- .../scenario.yml | 7 +- .../scenario.yml | 3 +- .../scenario.yml | 3 +- .../scenario.yml | 3 +- .../scenario.yml | 3 +- experiments/dc-bb-interconnect/visualize.py | 43 +- .../dc-bb-interconnect/workflows/analysis.yml | 2 +- metrics.md | 95 +- metrics/aggregate.py | 76 - metrics/common.py | 94 - metrics/paired.py | 63 - metrics/summary.py | 1522 -- netlab/artifacts.py | 109 + netlab/autoresearch/__init__.py | 2 +- netlab/autoresearch/analysis_loop.py | 10 +- netlab/autoresearch/backend.py | 57 +- netlab/autoresearch/cli.py | 83 +- netlab/autoresearch/dcbb_config.py | 272 + netlab/autoresearch/dcbb_failures.py | 274 + netlab/autoresearch/experiment_log.py | 168 +- netlab/autoresearch/generation_loop.py | 401 +- netlab/autoresearch/hypothesis.py | 80 +- netlab/autoresearch/hypothesis_manager.py | 112 +- netlab/autoresearch/memory.py | 95 +- netlab/autoresearch/metrics_report.py | 27 +- netlab/autoresearch/objective.py | 32 +- netlab/autoresearch/prompt.py | 46 +- netlab/autoresearch/runner.py | 279 +- netlab/autoresearch/scenario_generator.py | 619 +- netlab/autoresearch/scenario_validation.py | 115 +- netlab/autoresearch/structural_analysis.py | 45 +- netlab/autoresearch/sweep.py | 190 +- netlab/cli.py | 778 +- netlab/comparison.py | 74 +- netlab/experiment.py | 155 +- netlab/log_config.py | 34 +- {metrics => netlab/metrics}/__init__.py | 0 netlab/metrics/aggregate.py | 22 + netlab/metrics/analysis.py | 82 + {metrics => netlab/metrics}/bac.py | 79 +- netlab/metrics/batch.py | 694 + netlab/metrics/common.py | 128 + netlab/metrics/comparisons.py | 78 + {metrics => netlab/metrics}/costpower.py | 35 +- netlab/metrics/distributions.py | 42 + {metrics => netlab/metrics}/iterops.py | 44 +- {metrics => netlab/metrics}/latency.py | 69 +- {metrics => netlab/metrics}/matrixdump.py | 45 +- {metrics => netlab/metrics}/msd.py | 12 +- netlab/metrics/paired.py | 84 + .../metrics}/plot_bac_delta_vs_baseline.py | 82 +- .../metrics}/plot_cross_seed_bac.py | 74 +- .../metrics}/plot_cross_seed_iterops.py | 11 - .../metrics}/plot_cross_seed_latency.py | 62 +- .../metrics}/plot_significance_heatmap.py | 20 +- netlab/metrics/reporting.py | 347 + netlab/metrics/seed_data.py | 98 + {metrics => netlab/metrics}/sps.py | 64 +- netlab/metrics/summary.py | 825 + netlab/metrics/validation.py | 147 + netlab/metrics_cmd.py | 1313 -- netlab/metrics_failure.py | 97 +- netlab/pipeline.py | 207 + netlab/runtime.py | 18 - netlab/scenario.py | 120 +- netlab/simulation.py | 211 + netlab/tasks.py | 58 + netlab/topology.py | 87 + netlab/visualize.py | 368 +- pyproject.toml | 12 +- .../dc-bb-autoresearch/config.yml | 3 +- .../hypothesis_template.yml | 8 +- .../dc-bb-autoresearch/program.md | 6 +- .../data/square_mesh_results.json | 18 +- tests/autoresearch/test_backend.py | 53 +- tests/autoresearch/test_cli.py | 36 +- tests/autoresearch/test_demands.py | 33 +- tests/autoresearch/test_e2e_execution.py | 3 +- tests/autoresearch/test_experiment_log.py | 100 +- tests/autoresearch/test_generate_scenario.py | 28 +- tests/autoresearch/test_generation_loop.py | 31 +- tests/autoresearch/test_hypothesis.py | 85 +- tests/autoresearch/test_hypothesis_manager.py | 37 +- tests/autoresearch/test_infrastructure.py | 6 +- tests/autoresearch/test_memory.py | 63 - tests/autoresearch/test_objective.py | 62 +- tests/autoresearch/test_prompt.py | 30 - tests/autoresearch/test_runner.py | 202 +- .../autoresearch/test_runner_programmatic.py | 51 +- tests/autoresearch/test_scenario_generator.py | 34 +- .../autoresearch/test_structural_analysis.py | 37 +- tests/autoresearch/test_sweep.py | 21 + tests/data/README.md | 12 +- tests/data/mini_dcbb.yaml | 6 +- .../mini_dcbb_output/mini_dcbb.results.json | 92 +- .../small_baseline_integrated_graph.json | 17338 +--------------- ...all_baseline__seed11_scenario.results.json | 162 +- .../small_baseline__seed11_scenario.yml | 234 +- ...all_baseline__seed12_scenario.results.json | 158 +- .../small_baseline__seed12_scenario.yml | 234 +- .../small_clos_integrated_graph.json | 17338 +--------------- .../small_clos__seed11_scenario.results.json | 2224 +- .../small_clos__seed11_scenario.yml | 234 +- .../small_clos__seed12_scenario.results.json | 2282 +- .../small_clos__seed12_scenario.yml | 234 +- .../small_dragonfly_integrated_graph.json | 17338 +--------------- ...ll_dragonfly__seed11_scenario.results.json | 2526 +-- .../small_dragonfly__seed11_scenario.yml | 234 +- ...ll_dragonfly__seed12_scenario.results.json | 2554 +-- .../small_dragonfly__seed12_scenario.yml | 234 +- ...all_dragonfly_custom_integrated_graph.json | 17338 +--------------- ...onfly_custom__seed11_scenario.results.json | 2362 +-- ...mall_dragonfly_custom__seed11_scenario.yml | 234 +- ...onfly_custom__seed12_scenario.results.json | 2274 +- ...mall_dragonfly_custom__seed12_scenario.yml | 234 +- tests/data/scenarios_metrics/project.csv | 8 +- .../project_baseline_normalized_per_seed.csv | 14 +- tests/data/scenarios_metrics/provenance.json | 112 +- .../small_baseline/alpha_summary.json | 2 +- .../small_baseline/bac_summary.json | 7021 +------ .../small_baseline/iterops_summary.csv | 4 +- .../latency_pooled_exceedance_p95.csv | 2025 +- .../latency_pooled_exceedance_p99.csv | 2024 +- .../small_baseline/provenance.json | 48 +- .../small_baseline/seed11/alpha.json | 2 +- .../small_baseline/seed11/bac.json | 2 +- .../small_baseline/seed11/costpower.json | 2 +- .../small_baseline/seed11/iterops.json | 6 +- .../small_baseline/seed11/latency.json | 1008 +- .../seed11/latency_per_iteration_long.csv | 1000 + .../small_baseline/seed11/pairs_tm_abs.csv | 12 +- .../small_baseline/seed11/pairs_tm_norm.csv | 12 +- .../small_baseline/seed12/alpha.json | 2 +- .../small_baseline/seed12/bac.json | 2 +- .../small_baseline/seed12/costpower.json | 2 +- .../small_baseline/seed12/iterops.json | 6 +- .../small_baseline/seed12/latency.json | 1008 +- .../seed12/latency_per_iteration_long.csv | 1000 + .../small_baseline/seed12/pairs_tm_abs.csv | 12 +- .../small_baseline/seed12/pairs_tm_norm.csv | 12 +- .../small_clos/alpha_summary.json | 2 +- .../small_clos/bac_summary.json | 6997 +------ .../small_clos/iterops_summary.csv | 4 +- .../latency_pooled_exceedance_p95.csv | 2009 +- .../latency_pooled_exceedance_p99.csv | 2012 +- .../small_clos/provenance.json | 48 +- .../small_clos/seed11/alpha.json | 2 +- .../small_clos/seed11/bac.json | 2 +- .../small_clos/seed11/costpower.json | 2 +- .../small_clos/seed11/iterops.json | 6 +- .../small_clos/seed11/latency.json | 1008 +- .../seed11/latency_per_iteration_long.csv | 1000 + .../small_clos/seed11/pairs_tm_abs.csv | 12 +- .../small_clos/seed11/pairs_tm_norm.csv | 12 +- .../small_clos/seed12/alpha.json | 2 +- .../small_clos/seed12/bac.json | 2 +- .../small_clos/seed12/costpower.json | 2 +- .../small_clos/seed12/iterops.json | 6 +- .../small_clos/seed12/latency.json | 1008 +- .../seed12/latency_per_iteration_long.csv | 1000 + .../small_clos/seed12/pairs_tm_abs.csv | 12 +- .../small_clos/seed12/pairs_tm_norm.csv | 12 +- .../small_dragonfly/alpha_summary.json | 2 +- .../small_dragonfly/bac_summary.json | 6999 +------ .../small_dragonfly/iterops_summary.csv | 4 +- .../latency_pooled_exceedance_p95.csv | 2009 +- .../latency_pooled_exceedance_p99.csv | 2011 +- .../small_dragonfly/provenance.json | 48 +- .../small_dragonfly/seed11/alpha.json | 2 +- .../small_dragonfly/seed11/bac.json | 312 +- .../small_dragonfly/seed11/bac_series.csv | 256 +- .../small_dragonfly/seed11/costpower.json | 2 +- .../small_dragonfly/seed11/iterops.json | 6 +- .../small_dragonfly/seed11/latency.json | 1008 +- .../seed11/latency_per_iteration_long.csv | 1000 + .../small_dragonfly/seed11/pairs_tm_abs.csv | 12 +- .../small_dragonfly/seed11/pairs_tm_norm.csv | 12 +- .../small_dragonfly/seed12/alpha.json | 2 +- .../small_dragonfly/seed12/bac.json | 2 +- .../small_dragonfly/seed12/costpower.json | 2 +- .../small_dragonfly/seed12/iterops.json | 6 +- .../small_dragonfly/seed12/latency.json | 1008 +- .../seed12/latency_per_iteration_long.csv | 1000 + .../small_dragonfly/seed12/pairs_tm_abs.csv | 12 +- .../small_dragonfly/seed12/pairs_tm_norm.csv | 12 +- .../small_dragonfly_custom/alpha_summary.json | 2 +- .../small_dragonfly_custom/bac_summary.json | 6993 +------ .../iterops_summary.csv | 4 +- .../latency_pooled_exceedance_p95.csv | 2009 +- .../latency_pooled_exceedance_p99.csv | 2012 +- .../small_dragonfly_custom/provenance.json | 48 +- .../small_dragonfly_custom/seed11/alpha.json | 2 +- .../small_dragonfly_custom/seed11/bac.json | 2 +- .../seed11/costpower.json | 2 +- .../seed11/iterops.json | 6 +- .../seed11/latency.json | 1008 +- .../seed11/latency_per_iteration_long.csv | 1000 + .../seed11/pairs_tm_abs.csv | 12 +- .../seed11/pairs_tm_norm.csv | 12 +- .../small_dragonfly_custom/seed12/alpha.json | 2 +- .../small_dragonfly_custom/seed12/bac.json | 2 +- .../seed12/costpower.json | 2 +- .../seed12/iterops.json | 6 +- .../seed12/latency.json | 1008 +- .../seed12/latency_per_iteration_long.csv | 1000 + .../seed12/pairs_tm_abs.csv | 12 +- .../seed12/pairs_tm_norm.csv | 12 +- tests/data/scenarios_metrics/summary.txt | 31 + tests/metrics/conftest.py | 2 +- tests/metrics/test_aggregate.py | 31 +- tests/metrics/test_bac.py | 13 +- tests/metrics/test_common.py | 20 +- tests/metrics/test_contract_regressions.py | 123 + tests/metrics/test_costpower.py | 5 +- tests/metrics/test_iterops.py | 2 +- tests/metrics/test_latency.py | 21 +- tests/metrics/test_matrixdump.py | 22 +- tests/metrics/test_msd.py | 2 +- tests/metrics/test_native_verification.py | 252 + tests/metrics/test_numerical_verification.py | 275 + tests/metrics/test_paired.py | 52 +- tests/metrics/test_plots_core.py | 35 +- tests/metrics/test_sps.py | 6 +- tests/metrics/test_summary_module.py | 32 +- tests/test_cli_subcommands.py | 42 +- tests/test_cli_summary_smoke.py | 2 +- tests/test_current_ngraph_integration.py | 17 +- tests/test_end_to_end_metrics.py | 10 +- tests/test_integration_real_metrics.py | 10 +- tests/test_mini_dcbb_verification.py | 26 +- tests/test_scenario_merge.py | 28 + tests/test_simulation.py | 141 + tests/test_topogen_pipeline.py | 31 +- tests/test_visualize.py | 36 + topogen_configs/Clos_L16_S4.yml | 65 +- topogen_configs/DragonFly_CustomG4.yml | 65 +- topogen_configs/Dragonfly_A3H2G7.yml | 65 +- topogen_configs/baseline_SingleRouter.yml | 65 +- topogen_configs_small/small_baseline.yml | 25 +- topogen_configs_small/small_clos.yml | 25 +- topogen_configs_small/small_dragonfly.yml | 25 +- .../small_dragonfly_custom.yml | 25 +- 263 files changed, 32586 insertions(+), 130049 deletions(-) create mode 100644 dev/ARCHITECTURE.md create mode 100644 dev/METRICS_VERIFICATION.md create mode 100644 dev/verify_metrics.py delete mode 100644 metrics/aggregate.py delete mode 100644 metrics/common.py delete mode 100644 metrics/paired.py delete mode 100644 metrics/summary.py create mode 100644 netlab/artifacts.py create mode 100644 netlab/autoresearch/dcbb_config.py create mode 100644 netlab/autoresearch/dcbb_failures.py rename {metrics => netlab/metrics}/__init__.py (100%) create mode 100644 netlab/metrics/aggregate.py create mode 100644 netlab/metrics/analysis.py rename {metrics => netlab/metrics}/bac.py (78%) create mode 100644 netlab/metrics/batch.py create mode 100644 netlab/metrics/common.py create mode 100644 netlab/metrics/comparisons.py rename {metrics => netlab/metrics}/costpower.py (75%) create mode 100644 netlab/metrics/distributions.py rename {metrics => netlab/metrics}/iterops.py (64%) rename {metrics => netlab/metrics}/latency.py (83%) rename {metrics => netlab/metrics}/matrixdump.py (71%) rename {metrics => netlab/metrics}/msd.py (67%) create mode 100644 netlab/metrics/paired.py rename {metrics => netlab/metrics}/plot_bac_delta_vs_baseline.py (70%) rename {metrics => netlab/metrics}/plot_cross_seed_bac.py (66%) rename {metrics => netlab/metrics}/plot_cross_seed_iterops.py (92%) rename {metrics => netlab/metrics}/plot_cross_seed_latency.py (69%) rename {metrics => netlab/metrics}/plot_significance_heatmap.py (79%) create mode 100644 netlab/metrics/reporting.py create mode 100644 netlab/metrics/seed_data.py rename {metrics => netlab/metrics}/sps.py (67%) create mode 100644 netlab/metrics/summary.py create mode 100644 netlab/metrics/validation.py delete mode 100644 netlab/metrics_cmd.py create mode 100644 netlab/pipeline.py create mode 100644 netlab/simulation.py create mode 100644 netlab/tasks.py create mode 100644 netlab/topology.py create mode 100644 tests/data/scenarios_metrics/summary.txt create mode 100644 tests/metrics/test_contract_regressions.py create mode 100644 tests/metrics/test_native_verification.py create mode 100644 tests/metrics/test_numerical_verification.py create mode 100644 tests/test_scenario_merge.py create mode 100644 tests/test_simulation.py create mode 100644 tests/test_visualize.py diff --git a/.superset/workspace.sh b/.superset/workspace.sh index d573e49..58c16e0 100644 --- a/.superset/workspace.sh +++ b/.superset/workspace.sh @@ -30,7 +30,6 @@ if [[ "$mode" == setup ]]; then echo "Copied $filename from root checkout." done shopt -u nullglob - git submodule update --init if [[ ! -x venv/bin/python ]]; then make venv fi diff --git a/CHANGELOG.md b/CHANGELOG.md index f4e3644..4c36355 100644 --- a/CHANGELOG.md +++ b/CHANGELOG.md @@ -1,45 +1,26 @@ # Changelog -All notable changes to this project will be documented in this file. - -The format is based on [Keep a Changelog](https://keepachangelog.com/en/1.1.0/), -and this project adheres to [Semantic Versioning](https://semver.org/spec/v2.0.0.html). - ## [Unreleased] -### Fixed - -- **CLI**: Invoke `ngraph inspect` without the unsupported output option. -- **CLI**: Return a nonzero exit status when scenario inspection or simulation fails. -- **BAC**: Keep destinations distinct for flows sharing a source and sum priority classes within each direction. -- **Sweeps**: Normalize directional BAC by baseline delivery, matching the metrics pipeline. -- **Plots**: Compute iteration-count and timing medians and interquartile ranges from per-seed data. - ### Changed -- **BREAKING**: **Dependencies**: Require NetGraph `>=0.24.0`. -- **BREAKING**: **Workflows**: Placement inherits the scenario seed; set step `seed` explicitly to keep using `42`. -- **BREAKING**: **Metrics**: Require a positive integer `occurrence_count` on every failure flow result. -- **BREAKING**: **Summaries**: Replace operation counters with `iters_fail`, `iters_total`, and `unique_patterns`. -- **Scenarios**: Generated scenarios, shared templates, and the autoresearch prompt use current NetGraph keys. -- **Autoresearch**: Prompts distinguish measurements from explanations and flag missing or inconsistent evidence. -- **Autoresearch**: Load the NetGraph DSL reference from the `.claude/skills` submodule; run `git submodule update --init` to enable it. -- **Fixtures**: Regenerate scenarios, results, and metrics; see `tests/data/README.md` for numerical changes. -- **Docs**: Correct command examples, metric definitions, and scenario descriptions. -- **Internal**: Consolidate metric and provenance helpers, run the TopoGen pipeline checks in the default test suite, and remove unused code, fixtures, and the PyPI publish workflow. +- **BREAKING**: **Execution**: Use TopoGen `3bf0fa4a` and NetGraph `>=0.24.0` through their Python APIs, with a local process queue. TopoGen and NetGraph executable overrides are removed. +- **BREAKING**: **Scenarios**: `netlab build` now produces seeded scenarios. Supply existing corridor MultiGraphs with `--graphs-dir`. Placement workflows inherit the scenario seed unless a step sets its own. +- **BREAKING**: **Python API**: Import metrics from `netlab.metrics`; the top-level `metrics` package is removed. +- **BREAKING**: **Input formats**: Require list-form workflows and current NetGraph result fields: MSD `source`/`target`/`volume` under `msd_baseline`, timing in `metadata.duration_sec`, and graph `edges`. Failure patterns require a positive integer `occurrence_count`. +- **BREAKING**: **Metric files**: Preserve full endpoint names and bandwidth above baseline; write unavailable numbers as `null`. Research logs use `bw_p99_pct` for availability. See [metrics.md](metrics.md) for output fields and definitions. +- **BREAKING**: **Research**: Templates require `params`, and programmatic generators receive typed values. Resuming requires matching inputs, seed, and dependencies; use a new output directory when these change. -### Added +### Fixed -- **Workspaces**: Superset setup creates an isolated environment and copies missing `.env` files; Run executes `make check-ci`. -- **Integration**: Add local-source validation and fixture regeneration commands. +- **Bandwidth**: Correct availability thresholds and failure-pattern weighting. Sum priority classes without merging distinct endpoints, and keep complete outages in the samples. +- **Latency and comparisons**: Use each endpoint pair's baseline path cost and compare matching seeds. Fix errors caused by measurement scale and inconsistent baseline selection in tables and plots. +- **Runs and reports**: Enforce timeouts, reject stale cached results, and return a failing CLI status when a task fails. Publish complete metric reports only after successful analysis, preserving the previous report on failure. +- **Research**: Rank minimized objectives correctly and prevent infeasible candidates from winning. Allow failed hypotheses and sweep entries to be retried. -### Removed +### Added -- **BREAKING**: **MSD**: Remove `base_demands` aliases `source_path`, `sink_path`, and `demand`; use `source`, `target`, and `volume`. -- **BREAKING**: **MSD**: Read alpha from `msd_baseline.data.alpha_star`; remove `msd` and placement-probe inference. -- **BREAKING**: **Timing**: Read step duration from `metadata.duration_sec`; remove the `execution_time` alias. -- **BREAKING**: **Graphs**: Require `edges` in graph results; remove support for the `links` alias. -- **BREAKING**: **Autoresearch**: Remove the `parameters` alias in hypothesis templates; use `params`. +- **Workspaces**: Superset setup installs a development environment and copies missing `.env` files; Run executes `make check-ci`. ## [0.3.0] - 2026-03-26 diff --git a/Makefile b/Makefile index f33656f..a5857bb 100644 --- a/Makefile +++ b/Makefile @@ -4,27 +4,17 @@ .DEFAULT_GOAL := help -# -------------------------------------------------------------------------- -# Python interpreter detection -# -------------------------------------------------------------------------- -# VENV_BIN: path to local virtualenv bin directory VENV_BIN := $(PWD)/venv/bin -# PY_BEST: scan for newest supported Python (used when creating new venvs) -# Supports 3.11-3.13 to match common CI matrix +# Choose a Python version from the CI matrix for new virtual environments. PY_BEST := $(shell for v in 3.13 3.12 3.11; do command -v python$$v >/dev/null 2>&1 && { echo python$$v; exit 0; }; done; command -v python3 2>/dev/null || command -v python 2>/dev/null) -# PY_PATH: active python3/python on PATH (respects CI setup-python and activated venvs) PY_PATH := $(shell command -v python3 2>/dev/null || command -v python 2>/dev/null) -# PYTHON: interpreter used for all commands -# 1. Use local venv if present -# 2. Otherwise use active python on PATH (important for CI) -# 3. Fall back to best available version -# 4. Final fallback to 'python3' literal for clear error messages +# Prefer the local venv, then PATH (including CI's setup-python), then PY_BEST. PYTHON ?= $(if $(wildcard $(VENV_BIN)/python),$(VENV_BIN)/python,$(if $(PY_PATH),$(PY_PATH),$(if $(PY_BEST),$(PY_BEST),python3))) -# Derived tool commands (always use -m to ensure correct environment) +# Run tools through the selected interpreter. PIP := $(PYTHON) -m pip PYTEST := $(PYTHON) -m pytest RUFF := $(PYTHON) -m ruff diff --git a/README.md b/README.md index 2ff31bd..696ac72 100644 --- a/README.md +++ b/README.md @@ -1,179 +1,147 @@ # NetLab NetLab builds and runs [NetGraph](https://github.com/networmix/NetGraph) scenarios -and analyzes their results. It computes bandwidth availability, latency stretch, -capacity, and cost metrics. Its autoresearch tools use an LLM to propose scenarios -and interpret simulation results. +and compares bandwidth availability, latency stretch, capacity, and cost. +It also supports parameter sweeps and LLM-assisted topology experiments. -## Installation +## Install -Requires Python 3.11+ and Git. Dependencies: `ngraph >= 0.24.0` (which brings -`netgraph-core >= 0.10.0`) and [TopoGen](https://github.com/networmix/TopoGen), -installed from its `main` branch. NetLab is not published on PyPI. +Requires Python 3.11+ and Git. NetGraph, TopoGen, and the other dependencies are +installed automatically; exact requirements are in [pyproject.toml](pyproject.toml). ```bash pip install git+https://github.com/networmix/NetLab ``` -For development: +For the examples below, clone the repository and install the development environment: ```bash -git clone --recurse-submodules https://github.com/networmix/NetLab +git clone https://github.com/networmix/NetLab cd NetLab make dev source venv/bin/activate ``` -`make dev` installs the package, development dependencies, and pre-commit hooks. -The `.claude/skills` submodule provides the NetGraph DSL reference that -autoresearch uses as its generation prompt; without it a short built-in summary -is used. +## Run scenarios -## Scenarios - -`netlab run` builds one scenario per TopoGen master configuration and seed, then -runs `ngraph inspect` and `ngraph run` on each: +This example uses a small, checked-in graph and needs no external geographic data: ```bash -# Build scenarios from topogen_configs/ for two seeds and simulate them -netlab run --seeds 11 12 +netlab run topogen_configs_small/small_baseline.yml --seeds 11 12 \ + --graphs-dir tests/data/scenarios/small_baseline/small_baseline \ + --scenarios-dir scenarios +netlab metrics scenarios/ +``` + +Scenario YAML and results are saved under +`scenarios//__seed/`. Metrics, tables, and figures go into +`scenarios_metrics/`; start with `project.csv` and `BAC.png`. -# Use another configuration directory and output root -netlab run topogen_configs_small --seeds 11 12 --scenarios-dir scenarios +To generate geography from source data, omit `--graphs-dir`: -# Build the TopoGen masters only -netlab build topogen_configs_small +```bash +netlab run topogen_configs_small --seeds 11 12 +netlab build topogen_configs_small --seeds 11 12 # Build without simulating ``` -Outputs go under `scenarios/` by default: the master scenario per configuration, -one `__seed/` directory per seed with the scenario YAML, results JSON, -and inspect and run logs, plus `_run_summaries/*.tsv` and `provenance.json`. -`--force` rebuilds and reruns everything; `--force-run` repeats only the NetGraph -runs. `--topogen-bin` and `--ngraph-bin` select executables; by default NetLab -uses `$NETLAB_TOPOGEN_BIN` and `$NETLAB_NGRAPH_BIN`, then `PATH`, then the current -Python environment. The command exits with a nonzero status when any inspect or -run step fails. +Source datasets and `lib/` are resolved from the working directory. Full-size +configurations are in `topogen_configs/`; reduced versions are in +`topogen_configs_small/`. Supplied graphs must be corridor MultiGraphs named +`_integrated_graph.json`. -`topogen_configs/` holds the full-size masters and `topogen_configs_small/` the -reduced variants used for the test fixtures. Both select workflow and -failure-policy templates from `lib/` by name. +- `--build-jobs` and `--run-jobs` set process concurrency. +- `--build-timeout` sets a deadline per graph/build task; `--run-timeout` defaults + to 600 seconds per simulation. Deadlines start when a task begins executing. +- `--force-run` reruns simulations. `--force` also regenerates geography, unless + supplied through `--graphs-dir`. -## Metrics +Scenario assembly runs every time. Cached results are reused only when scenario, +package, and result hashes match. Failed tasks return a nonzero CLI status; +independent tasks continue. Each run writes provenance, batch summaries, and +`.run.json` outcomes alongside its artifacts. -```bash -# Analyze all scenarios in a directory -netlab metrics scenarios/ +## Analyze results -# Compute metrics without plots +```bash netlab metrics scenarios/ --no-plots - -# Select scenarios netlab metrics scenarios/ --only small_clos,small_dragonfly - -# Print summary tables and render cross-seed figures from existing CSVs -netlab metrics scenarios/ --summary - -# Paired t-tests between two scenarios +netlab metrics scenarios/ --summary # Read saved tables and render figures netlab test scenarios/ small_baseline small_clos ``` -Results are written next to the input root as `scenarios_metrics/`. The metrics -CLI expects workflow steps named `msd_baseline` (`MaximumSupportedDemand`), -`tm_placement` (`TrafficMatrixPlacement` with flow details), and -`network_statistics` (`NetworkStats`). `--enable-maxflow` also requires -`node_to_node_capacity_matrix` (`MaxFlow` with flow details). +An analysis replaces the complete `scenarios_metrics/` report, including when +`--only` selects a subset. A failed analysis keeps the previous report. + +The metrics CLI requires workflow steps named `msd_baseline` +(`MaximumSupportedDemand`), `tm_placement` (`TrafficMatrixPlacement` with flow +details), and `network_statistics` (`NetworkStats`). `--enable-maxflow` adds +pairwise capacity analysis and requires `node_to_node_capacity_matrix`. -MSD demand records use `source`, `target`, and `volume`; flow records use `source`, -`destination`, and `demand`. Each failure pattern requires a positive integer -`occurrence_count`, which weights that pattern in the metrics. +See [metrics.md](metrics.md) for metric definitions, required fields, aggregation +rules, and output files. BAC describes the sampled failure experiment; latency +stretch describes delivered traffic relative to its baseline path cost. + +## Python API + +```python +from pathlib import Path +from netlab.simulation import run_simulation -| Metric | Measures | -|--------|----------| -| BAC | Distribution of delivered bandwidth, normalized by baseline delivery; aggregate and per direction. | -| Latency stretch | Path cost relative to the least-cost path carrying baseline traffic for that pair, weighted by delivered volume. | -| Alpha (MSD) | Demand multiplier found by the configured capacity search. | -| SPS | Demand-weighted pairwise max-flow capacity under failures; each pair is evaluated independently. | -| Cost/power | Capital cost and power per unit of offered or reliable bandwidth. | -| Iteration statistics | Failure iterations, distinct failure patterns, and execution time. | +if __name__ == "__main__": + outcome = run_simulation(Path("scenario.yml"), timeout=60) + print(outcome.status, outcome.error) +``` -See [metrics.md](metrics.md) for formulas, aggregation rules, and output files. +`run_simulation` uses a local process queue and saves successful results. +Use `simulate(yaml_text)` for synchronous execution or `inspect_scenario(yaml_text)` +to validate and count model objects. Scripts using the process queue need the +`__main__` guard. See [the architecture notes](dev/ARCHITECTURE.md) for batch APIs. -### Python API +Metrics can also be computed directly from a result dictionary: ```python import json - -from metrics.bac import compute_bac -from metrics.latency import compute_latency_stretch -from metrics.msd import compute_alpha_star +from netlab.metrics.bac import compute_bac +from netlab.metrics.latency import compute_latency_stretch +from netlab.metrics.msd import compute_alpha_star with open("scenario.results.json") as f: results = json.load(f) -alpha = compute_alpha_star(results) -bac = compute_bac(results, step_name="tm_placement") -latency = compute_latency_stretch(results) - -print(f"alpha_star: {alpha.alpha_star}") -print(f"BAC AUC: {bac.auc_normalized:.4f}") -for direction, flow in bac.per_flow.items(): - print(f"{direction}: AUC={flow.auc_normalized:.4f}") -print(f"failure p99 stretch: {latency.failures.get('p99')}") +print(compute_alpha_star(results).alpha_star) +print(compute_bac(results, step_name="tm_placement").auc_normalized) +print(compute_latency_stretch(results).failures.get("p99")) ``` ## Autoresearch -The hypothesis API asks an LLM to write a scenario, checks it with `ngraph inspect`, -and runs the simulation. Failed candidates are retried with error feedback. -NetLab then computes metrics and asks the LLM to interpret them and suggest the -next experiment. +Create a parameterized project, review its templates, then run experiments: -```python -import sys -from pathlib import Path - -from netlab.autoresearch.backend import ClaudeCLIBackend -from netlab.autoresearch.hypothesis_manager import HypothesisManager - -manager = HypothesisManager( - project_dir=Path("research"), - backend=ClaudeCLIBackend(model="sonnet"), - ngraph_bin=str(Path(sys.executable).parent / "ngraph"), -) -cycle = manager.run_cycle(""" -Two sites, three backbone planes, 100 Gbps cross-site per plane. -Internal links: 500 Gbps. Backbone nodes have role: bb. -Demands: 100 Gbps each direction using ECMP. -Failures: one random backbone node per iteration, 20 iterations. -""") -print(cycle.status) -if cycle.analysis is not None: - print(cycle.analysis.metrics_report) - print(cycle.analysis.interpretation) - print(cycle.analysis.next_hypothesis) +```bash +netlab autoresearch init --base-scenario scenario.yml --output project/ +netlab autoresearch run project/ --backend claude-cli --model sonnet ``` -Cycle artifacts are saved under `research/cycles/`. Successful cycles include the -scenario, simulation results, metrics report, and interpretation. Each cycle -records its hypothesis and status: `analyzed`, `analysis_incomplete`, -`generation_failed`, or `skipped`. `cycle_log.jsonl` records the cycle summaries. -LLM interpretations and suggested experiments should be assessed against the -saved metrics and scenario. +Backends are `mock` (default), `claude-cli`, `codex-cli`, and `openai`. +`HypothesisManager` also accepts a free-text hypothesis: it generates and simulates +a scenario, computes metrics, and requests an interpretation and next experiment. +Cycle artifacts are saved under `/cycles/` for review. -The CLI also supports parameterized projects and DC-BB sweeps. Backends are -`mock` (default), `claude-cli`, `codex-cli`, and `openai`: +DC-BB layout studies have dedicated commands: ```bash -netlab autoresearch init --base-scenario scenario.yml --output project/ -netlab autoresearch run project/ --backend claude-cli --model sonnet - netlab autoresearch structural-analysis --output layouts.json netlab autoresearch sweep abc1 --output-dir results/ netlab autoresearch cross-sweep --output-dir results/ ``` -The DC-BB study inputs live in `research_projects/dc-bb-autoresearch/`; standalone -topology experiments live in `experiments/dc-bb-interconnect/`. +Research logs are tied to the inputs, seed, and installed dependencies. Use a new +output directory when these change, and one writer per project. Successful sweep +entries are skipped on resume; failed entries are retried. Scores rank higher as +better, and infeasible candidates cannot become best. + +Study inputs: [DC-BB research](research_projects/dc-bb-autoresearch/program.md). +Standalone experiments: [DC-BB interconnect](experiments/dc-bb-interconnect/README.md). ## Development @@ -182,39 +150,28 @@ make check-ci # Formatting, lint, type checks, and tests make check # Apply pre-commit fixes, then run tests and lint make test # Tests with coverage make lint # Formatting, lint, and type checks -make qt # Tests excluding benchmarks, without coverage ``` -The test suite includes TopoGen → NetGraph → metrics pipeline checks on a tiny -cached geography; they need no Census data. [tests/data/README.md](tests/data/README.md) -describes the checked-in fixtures and how to regenerate them. - -### Superset workspaces +The tests include TopoGen → NetGraph → metrics runs using cached geography. +See [fixture regeneration](tests/data/README.md) and +[metric verification](dev/METRICS_VERIFICATION.md). -`.superset/config.json` configures [Superset](https://docs.superset.sh/setup-teardown-scripts) -workspaces. Setup checks out the skills submodule, creates a `venv`, installs -`.[dev]`, verifies imports, and copies missing untracked `.env` and `.env.*` files -from the root checkout. The Run button executes `make check-ci`. There is no dev -server, so teardown is a no-op and no ports are allocated. The same steps run -manually: +Superset setup creates a `venv`, installs `.[dev]`, and copies missing untracked +`.env` files from the root checkout. Its Run button executes `make check-ci`. +To run setup manually: ```bash SUPERSET_ROOT_PATH=/path/to/NetLab bash .superset/workspace.sh setup -bash .superset/workspace.sh check ``` -### Test local NetGraph sources +To test local upstream checkouts: ```bash bash dev/check_ngraph_integration.sh ~/ws/NetGraph ~/ws/NetGraph-Core ~/ws/TopoGen ``` -The script builds a Core wheel, installs the selected NetGraph and TopoGen -checkouts in a temporary environment, and runs lint, type checks, and the full -test suite against them. Commits, source fingerprints, dependencies, wheel hashes, -and results are saved under `build/ngraph-integration/`. The gate fails if a -checkout changes during the run. Normal installs use the dependencies declared in -`pyproject.toml`. +This builds Core and runs all checks in a temporary environment. Source revisions, +dependency versions, and results are saved under `build/ngraph-integration/`. ## License diff --git a/dev/ARCHITECTURE.md b/dev/ARCHITECTURE.md new file mode 100644 index 0000000..fcb4ce3 --- /dev/null +++ b/dev/ARCHITECTURE.md @@ -0,0 +1,75 @@ +# NetLab architecture + +TopoGen builds geography and scenarios; NetGraph expands and simulates them. +NetLab calls their Python APIs, schedules work, saves results, and computes metrics. +CLI handlers pass arguments to these library services. + +## Execution and caching + +`TaskQueue` uses [Pebble](https://pebble.readthedocs.io/en/stable/) with a bounded +pool of spawned processes. Deadlines start when execution begins. A timed-out +worker is stopped and replaced, and independent jobs continue. No broker or worker +service is needed for these local batches. + +`SimulationBatch` submits independent scenario files to a caller-managed queue. +Each simulation loads its scenario once. The parent publishes results after +success, and cache reuse requires matching scenario, package, and result hashes. +Editable packages include a source fingerprint. Failed builds invalidate earlier +scenario and result files. + +`run_pipeline` generates one graph per master, builds each seed, and optionally +simulates it. Relative datasets and `lib/` resolve from the working directory. +Supplied geography must use TopoGen's corridor MultiGraph format. + +```python +from pathlib import Path +from netlab.pipeline import PipelineConfig, discover_configs, run_pipeline + +if __name__ == "__main__": + result = run_pipeline(PipelineConfig( + masters=discover_configs(Path("topogen_configs_small")), + seeds=[11, 12], output_dir=Path("scenarios"), + graphs_dir=Path("graphs"), build_jobs=2, run_jobs=2, + )) + assert result.success, result.errors +``` + +Failed tasks are reported without automatic retries. Research generation loops +can explicitly revise failed candidates using the recorded error. Subprocesses +remain only for external LLM CLI backends. + +## Where to make changes + +| Area | Modules under `netlab/` | +| --- | --- | +| Task scheduling and results | `tasks.py`, `simulation.py`, `artifacts.py` | +| TopoGen batches | `topology.py`, `pipeline.py`, `cli.py` | +| Experiment inputs and runs | `scenario.py`, `experiment.py` | +| Tables and graph rendering | `comparison.py`, `visualize.py` | +| Research generation and analysis | `autoresearch/generation_loop.py`, `analysis_loop.py`, `hypothesis_manager.py` | +| Parameter searches | `autoresearch/hypothesis.py`, `runner.py`, `objective.py`, `sweep.py` | +| Research history and prompts | `autoresearch/experiment_log.py`, `memory.py`, `prompt.py`, `metrics_report.py` | +| LLM connections and research CLI | `autoresearch/backend.py`, `cli.py`; executable lookup in `runtime.py` | +| DC-BB topology model | `autoresearch/dcbb_config.py`, `dcbb_failures.py`, `scenario_generator.py`, `scenario_validation.py`, `structural_analysis.py` | +| Metric calculations | `metrics/bac.py`, `latency.py`, `msd.py`, `sps.py`, `costpower.py`, `iterops.py`, `matrixdump.py`; failure summaries in `metrics_failure.py` | +| Metric input and aggregation | `metrics/validation.py`, `common.py`, `analysis.py`, `aggregate.py`, `batch.py`, `seed_data.py` | +| Statistics and reports | `metrics/distributions.py`, `paired.py`, `comparisons.py`, `summary.py`, `reporting.py`, `plot_*.py` | + +Metric functions consume result dictionaries. `analysis.py` validates and analyzes +one seed; `batch.py` groups seeds and publishes a complete report. `reporting.py` +reads saved tables and metric files. Shared seed readers and statistical functions +keep table, plot, and comparison calculations consistent. + +Research runners use the same simulation service. Logs bind resumed work to input +and dependency fingerprints; feasible candidates are ranked by higher scores. +Only successful sweep entries are skipped on resume. + +## Checks + +Run `make check-ci` for formatting, lint, type checks, and tests. Execution tests +cover worker timeouts and crashes, cache invalidation, failed builds, and queued +TopoGen → NetGraph runs with cached geography. Research tests cover resume, +parameter validation, and ranking. Rendering tests check component bounds. + +For the independent metric experiments and their results, see +[METRICS_VERIFICATION.md](METRICS_VERIFICATION.md). diff --git a/dev/METRICS_VERIFICATION.md b/dev/METRICS_VERIFICATION.md new file mode 100644 index 0000000..2c32da8 --- /dev/null +++ b/dev/METRICS_VERIFICATION.md @@ -0,0 +1,108 @@ +# Metrics verification + +The numerical audit covers the current NetLab metric pipeline and its research +consumers. Evidence and rendered figures live in `build/metrics-verification/`. +The runnable experiment is `dev/verify_metrics.py`; regression tests are in +`tests/metrics/test_numerical_verification.py` and `test_native_verification.py`. + +## Reproduce + +```sh +venv/bin/python dev/verify_metrics.py --plots +venv/bin/python -m pytest tests/metrics tests/test_current_ngraph_integration.py tests/test_mini_dcbb_verification.py --no-cov +make check-ci +``` + +The experiment performs 38 configured native runs: 16 exhaustive failure masks, +six successful model variants, one expected disconnected-MSD rejection, and +15 scenario/seed runs. It also constructs a 136-sample weighted population from +the native outcomes. Those 136 observations are reweighted native results, not +136 additional engine executions. + +## Checks + +| Area | Evidence | Result | +| --- | --- | --- | +| BW@p / SPS@p | Rational counting oracle at 13 sample lengths from 1 to 10,001; exact 90/95/99/99.9/99.99% boundaries and replication | Passed after rank correction | +| Empirical survival | 100 random tied integer samples, direct threshold counts; cross-seed plots and saved curves | Passed | +| Latency | 100 independently volume-expanded distributions; distinct devices, priorities, zero delivery, cost-unit rescaling, missing/partial references | Passed after endpoint and tolerance fixes | +| MSD | Native diamond capacity, pairwise volume splitting, combine, bidirectional traffic, bounded search | Passed; no feasible positive alpha produces an engine error | +| Pair matrices / SPS | All 16 edge-failure subsets vs NetworkX maximum flow and two-path arithmetic | Passed; mismatched group labels rejected | +| Cost / power | Four 100-dollar/10-watt routers and eight 2-dollar/1-watt optics; global and per-metro totals 416 dollars/48 watts; independent divisions | Passed; missing is distinct from zero | +| Iterations | Occurrence expansion, 136 weighted failures, metadata reconciliation, nonnegative time | Passed; timing is amortized, not a throughput benchmark | +| Seed aggregation | Three capacity configurations × five real seeds, 9/19/29/39/49 failures per seed; manual medians, ratios, deltas, pooled counts and IQR | Passed across all non-timing project metrics | +| Inference | SciPy paired t and CIs over scales 1e-150..1e150; invariance at 1e-200 and 1e200; constant decimals; missing pairs; hand-calculated Holm | Passed after stable scaling and validation | +| Input contract | Mutation of native failure/baseline demand, placed, dropped, costs, summaries, alpha, occurrence counts, duration and endpoints | Passed; invalid numbers and missing required fields rejected | +| Artifacts | Reduced-input rerun, MaxFlow removal, late-seed failure, source mutation during analysis, filename seed mismatch, strict JSON | Passed; complete-tree publication and retained prior report on failure | +| Plots | Inclusive pre-steps, exact observation thresholds, common baseline, seed IQR, adjusted significance, visual inspection | Passed; single/pooled BAC, delta, latency and heatmap renders inspected | +| Research consumers | Shared BAC computation, explicit availability field, consistent lower percentiles, unrounded stored values | Updated and covered by the full research suite | + +## Defects found and fixed + +The first new numerical suite had 18 failures before correction. Evidence is in +`before.json` and `before-tests.log`; later regression logs are saved separately. + +| Finding | Reproducer | Correct behavior | +| --- | --- | --- | +| Incorrect availability rank | `[0,...,9]` returned BW@90=0 | BW@90=1: exactly 9/10 samples meet it | +| Endpoint aliasing | Unchanged device paths of cost 1 and 10 produced p99 stretch 10 | Each device has its own reference; p99=1 | +| Unmatched MaxFlow selectors | Native regex group labels produced SPS=0 on a fully connected network | Exact endpoint coverage is required; incompatible groups raise a diagnostic | +| Missing cost represented as free | No CostPower step produced zero unit cost | Unavailable values serialize as null | +| Independent sample positions aligned | Permuting one seed changed positional median/IQR | Positional reduction removed; compare scalar seed summaries and survival curves | +| Stale/mixed reports | Removed seed and MaxFlow files survived; a failing later seed partially rewrote output | Entire successful report replaces prior output; failure preserves prior bytes | +| Undefined baseline normalized to one | Missing/zero denominators in the baseline row became 1 | They remain unavailable | +| Extreme-scale inference | Nonconstant differences at 1e-200 became deterministic; at 1e200 variance overflowed | Scale before variance; preserve p/t and rescale CI | +| Best-path tolerance depended on units | Doubling path cost at 1e-12 scale still counted as best path | Relative tolerance, no arbitrary absolute floor | +| Plot/report inconsistency | Single-seed curve used post-steps; baseline choice and clipping differed | Inclusive pre-steps, common selector, uncapped delivery curves | +| Partial latency coverage hidden | Delivered traffic without a baseline reference vanished from the denominator | `reference_coverage` explicitly reports the included delivered fraction | + +## Interpretation + +- BAC deliberately samples one baseline plus occurrence-weighted failures. + SPS, pair matrices, and failure latency use failures only. These summaries + describe the configured experiment; they do not measure uptime. +- BW@p uses sorted zero-based rank `n - ceil(n*p/100)`, with exact decimal count + boundaries. Descriptive high percentiles retain NumPy's `lower` estimator; + they are not availability guarantees and need not be replication invariant. +- A seed median uses equal seed weight; pooling uses equal observation weight. + Seeds with more observations therefore contribute more to pooled results. +- MaxFlow capacities are independent per pair; their sum does not establish + simultaneous multicommodity feasibility. Group-to-device reassignment cannot + be inferred safely from labels alone and is explicitly unsupported. +- Latency is conditional on delivered volume with a positive baseline reference. + Outages retain missing entries; reference coverage distinguishes absent path + details and partially referenceable delivery. Inspect BAC alongside latency. +- Zero baseline delivery has defined absolute bandwidth and undefined ratios. + NetGraph's MSD workflow rejects a network with no positive feasible multiplier. +- Pairwise demand expansion divides volume across matched pairs/groups, as + confirmed by source inspection and the native experiment. +- Statistical tests require three finite matched seeds and the usual paired-test + assumptions. Constant-sample p=0/1 is a computational convention, not certainty + about the population. Finite samples cannot establish multi-nine uptime. +- The audit covers arithmetic and integration for the listed models. Recorded + durations depend on the environment and are not benchmark results. + +Sources for definitions: [NumPy quantile methods](https://numpy.org/doc/stable/reference/generated/numpy.quantile.html), +[SciPy paired t-test and confidence interval](https://docs.scipy.org/doc/scipy/reference/generated/scipy.stats.ttest_rel.html). + +## Validation results + +Results from the metric verification run. + +- Independent native experiment: passed, including 435 failure trials across the + 15 multi-seed placement studies and an independently calculated reference table. +- Numerical/native targeted checks: passed; complete metrics/current-engine suite + passed 138 tests after restoring strict demand selectors. +- `make check-ci`: **516 passed in 153.43 s**, overall coverage 80%; Ruff passes; + Pyright has zero errors and three missing-stub warnings (SciPy/CairoSVG). +- Wheel and sdist build; `twine check` and `pip check` pass. +- The rebuilt wheel was force-installed into a separate environment with its own + resolved dependencies. The import path was asserted to be its `site-packages`. + A real mini-DCBB run reproduced AUC=6/11; the full 15-study report matched the + source-tree report across every numeric project column at rtol=1e-12. +- The eight saved geographic fixture analyses were regenerated. Released + changelog history is unchanged byte-for-byte. No commit or push was performed. + +Key evidence files: `experiments.log`, `native-summary.json`, +`multiseed-expected.json`, `multiseed_metrics/project.csv`, `check-ci.log`, +`build.log`, `twine.log`, `pip-check.log`, and `wheel-smoke.log`. diff --git a/dev/check_ngraph_integration.sh b/dev/check_ngraph_integration.sh index 6e114b2..96396ca 100644 --- a/dev/check_ngraph_integration.sh +++ b/dev/check_ngraph_integration.sh @@ -2,7 +2,7 @@ # Run NetLab lint and tests against selected local project sources. set -euo pipefail cd "$(dirname "${BASH_SOURCE[0]}")/.." -unset PYTHONPATH PYTHONHOME NETLAB_NGRAPH_BIN NETLAB_TOPOGEN_BIN NGRAPH_ENABLE_MAXFLOW +unset PYTHONPATH PYTHONHOME if [[ $# -ne 3 ]]; then echo 'Usage: bash dev/check_ngraph_integration.sh /path/to/NetGraph /path/to/NetGraph-Core /path/to/TopoGen' >&2 exit 2 diff --git a/dev/regenerate_fixtures.py b/dev/regenerate_fixtures.py index 91c9911..aa7ad2e 100644 --- a/dev/regenerate_fixtures.py +++ b/dev/regenerate_fixtures.py @@ -1,22 +1,25 @@ -"""Rebuild simulation fixtures from cached geography and the installed tools. +"""Rebuild fixtures from cached geography and the installed dependencies. -Run from an environment installed with the dependencies declared in -pyproject.toml, for example ``venv/bin/python dev/regenerate_fixtures.py``. -Every source distribution must be a released version or a clean Git revision so -the fixtures stay reproducible. All commands must succeed before any checked-in -fixture is replaced; the recorded provenance is printed at the end. +Run: venv/bin/python dev/regenerate_fixtures.py +Require released packages or clean Git revisions. Replace checked-in fixtures +only after all simulations and analyses succeed; print the provenance path. """ from __future__ import annotations import importlib.metadata import json +import os import shutil import subprocess import sys import tempfile from pathlib import Path +from netlab.metrics.batch import run_metrics +from netlab.pipeline import PipelineConfig, discover_configs, run_pipeline +from netlab.simulation import run_simulation + SOURCES = ("ngraph", "netgraph-core", "topogen") @@ -45,6 +48,7 @@ def source_provenance(name: str) -> dict: def main() -> None: root = Path(__file__).resolve().parents[1] + os.chdir(root) provenance = { "python": sys.version.split()[0], "sources": {name: source_provenance(name) for name in SOURCES}, @@ -54,38 +58,34 @@ def main() -> None: work = Path(tempfile.mkdtemp(prefix="run-", dir=build)) print(f"Regeneration artifacts: {work}", flush=True) scenarios = work / "scenarios" + graphs = work / "graphs" + graphs.mkdir() for graph in (root / "tests/data/scenarios").rglob("*_integrated_graph.json"): - target = scenarios / graph.relative_to(root / "tests/data/scenarios") - target.parent.mkdir(parents=True, exist_ok=True) - shutil.copy2(graph, target) - - def run(module: str, *command: str) -> None: - subprocess.run([sys.executable, "-m", module, *command], cwd=root, check=True) - - run( - "netlab.cli", - "run", - "topogen_configs_small", - "--seeds", - "11", - "12", - "--scenarios-dir", - str(scenarios), - "--force-run", - "--build-jobs", - "1", - "--run-jobs", - "1", - ) - run("netlab.cli", "metrics", str(scenarios), "--no-plots") - run( - "ngraph", - "run", - "tests/autoresearch/data/square_mesh.yaml", - "-o", - str(work / "square"), + shutil.copy2(graph, graphs / graph.name) + outcome = run_pipeline( + PipelineConfig( + masters=discover_configs(root / "topogen_configs_small"), + seeds=[11, 12], + output_dir=scenarios, + graphs_dir=graphs, + build_jobs=2, + run_jobs=2, + force=True, + ) ) - run("ngraph", "run", "tests/data/mini_dcbb.yaml", "-o", str(work / "mini")) + if not outcome.success: + raise RuntimeError(outcome.errors) + run_metrics(scenarios, no_plots=True) + for source, output in ( + ( + root / "tests/autoresearch/data/square_mesh.yaml", + work / "square/square_mesh.results.json", + ), + (root / "tests/data/mini_dcbb.yaml", work / "mini/mini_dcbb.results.json"), + ): + result = run_simulation(source, results_path=output, force=True) + if not result.success: + raise RuntimeError(result.error) # Save the previous fixtures alongside the generated output for review. shutil.copytree(root / "tests/data/scenarios_metrics", work / "inputs/metrics") diff --git a/dev/run-checks.sh b/dev/run-checks.sh index 3336b55..ba9f961 100755 --- a/dev/run-checks.sh +++ b/dev/run-checks.sh @@ -1,10 +1,9 @@ #!/bin/bash -# Run all code quality checks and tests -# This script runs pre-commit hooks and the test suite +# Run pre-commit fixes and tests, then verify the checks pass. -set -e # Exit on any error +set -e -# Determine python interpreter (prefer venv if active) +# Honor an explicit PYTHON; otherwise use python3 from PATH. PYTHON=${PYTHON:-python3} # Check if pre-commit is installed diff --git a/dev/verify_metrics.py b/dev/verify_metrics.py new file mode 100644 index 0000000..6a0bab5 --- /dev/null +++ b/dev/verify_metrics.py @@ -0,0 +1,537 @@ +#!/usr/bin/env python3 +"""Run NetGraph experiments and compare metrics with independent calculations. + +Run: venv/bin/python dev/verify_metrics.py --output build/metrics-verification +""" + +from __future__ import annotations + +import argparse +import io +import json +import statistics +import sys +from contextlib import redirect_stdout +from copy import deepcopy +from fractions import Fraction +from pathlib import Path +from typing import Any + +import networkx as nx +import numpy as np +import yaml + +sys.path.insert(0, str(Path(__file__).resolve().parents[1])) +from netlab.metrics.analysis import analyze_one_seed +from netlab.metrics.bac import compute_bac +from netlab.metrics.latency import compute_latency_stretch +from netlab.metrics.matrixdump import compute_pair_matrices +from netlab.metrics.sps import compute_sps +from netlab.simulation import simulate + +EDGES = [ + ("a/dc/node", "u", 5, 1), + ("u", "b/dc/node", 5, 1), + ("a/dc/node", "v", 3, 2), + ("v", "b/dc/node", 3, 2), +] + + +def scenario_document(mask: int = 0, seed: int = 42) -> dict[str, Any]: + nodes = { + name: {"attrs": {"hardware": {"component": "router", "count": 1}}} + for name in ["a/dc/node", "u", "v", "b/dc/node"] + } + links = [ + dict( + source=s, + target=t, + capacity=cap, + cost=cost, + attrs={ + "selected": bool(mask & (1 << i)), + "hardware": { + side: {"component": "optic", "count": 1} + for side in ["source", "target"] + }, + }, + ) + for i, (s, t, cap, cost) in enumerate(EDGES) + ] + failure = {"failure_policy": "selected"} + workflow = [ + dict( + type="MaximumSupportedDemand", + name="msd_baseline", + demand_set="traffic", + resolution=0.0001, + ), + dict( + type="TrafficMatrixPlacement", + name="tm_placement", + demand_set="traffic", + iterations=1, + parallelism=1, + seed=seed, + include_flow_details=True, + alpha_from_step="msd_baseline", + alpha_from_field="data.alpha_star", + **failure, + ), + dict( + type="MaxFlow", + name="node_to_node_capacity_matrix", + source="^(a/dc/node)$", + target="^(b/dc/node)$", + mode="pairwise", + iterations=1, + parallelism=1, + seed=seed, + include_flow_details=True, + **failure, + ), + dict(type="CostPower", name="cost_power"), + dict(type="NetworkStats", name="network_statistics"), + ] + return dict( + seed=seed, + network=dict(nodes=nodes, links=links), + components={ + "router": dict(component_type="chassis", capex=100, power_watts=10), + "optic": dict(component_type="optic", capex=2, power_watts=1), + }, + demands={ + "traffic": [ + dict( + source="^a/dc/node$", + target="^b/dc/node$", + volume=8, + mode="pairwise", + flow_policy="TE_WCMP_UNLIM", + ) + ] + }, + failures={ + "selected": { + "modes": [ + { + "weight": 1, + "rules": [ + dict( + scope="link", + mode="all", + match={ + "conditions": [ + dict(attr="selected", op="==", value=True) + ] + }, + ) + ], + } + ] + } + }, + workflow=workflow, + ) + + +def native(doc: dict[str, Any]) -> dict[str, Any]: + outcome = simulate(yaml.safe_dump(doc)) + if not outcome.success: + raise AssertionError(outcome.error) + return outcome.results + + +def assert_close(actual: Any, expected: Any) -> None: + np.testing.assert_allclose(actual, expected, rtol=1e-10, atol=1e-10) + + +def verify_exhaustive(output: Path) -> list[dict[str, Any]]: + records, rows = [], [] + for mask in range(16): + raw = native(scenario_document(mask)) + (output / f"diamond-mask-{mask:02d}.json").write_text( + json.dumps(raw, indent=2) + "\n" + ) + graph = nx.DiGraph() + graph.add_nodes_from(["a/dc/node", "u", "v", "b/dc/node"]) + for i, (s, t, cap, _cost) in enumerate(EDGES): + if not mask & (1 << i): + graph.add_edge(s, t, capacity=cap) + graph.add_edge(t, s, capacity=cap) + capacity = nx.maximum_flow_value(graph, "a/dc/node", "b/dc/node") + short = 5 if not mask & 3 else 0 + long = 3 if not mask & 12 else 0 + assert capacity == short + long + alpha, bac, mf, latency, cp, iterations, sps = analyze_one_seed( + raw, output, False, enable_maxflow=True + ) + assert_close(alpha.alpha_star, 1) + assert_close(alpha.base_total_demand, 8) + assert_close(bac.series, [8, capacity]) + assert_close(bac.auc_normalized, (1 + capacity / 8) / 2) + assert_close(bac.bw_at_probability_abs[99.9], capacity) + assert mf is not None and sps is not None + assert_close(mf.series, [8, capacity]) + assert sps is not None + assert_close(sps.series, [capacity / 8]) + assert_close([cp.capex_total, cp.power_total_w], [416, 48]) + assert_close(cp.per_metro["capex_total"].sum(), 416) + assert_close(cp.per_metro["power_total_watts"].sum(), 48) + assert_close(cp.per_offered_demand__usd_per_gbit, 52) + if capacity: + assert_close(cp.per_reliable_p999__usd_per_gbit, 416 / capacity) + assert_close(latency.failures["p99"], 2 if long else 1) + assert_close(latency.failures["WES"], long / capacity) + assert_close(latency.failures["SLO_1_2"], short / capacity) + else: + assert cp.per_reliable_p999__usd_per_gbit is None + assert np.isnan(latency.failures["p99"]) + assert iterations.failures_count == iterations.unique_patterns == 1 + tm_abs, tm_norm, mf_abs, mf_norm = compute_pair_matrices(raw, True) + assert_close(tm_abs.to_numpy(), capacity) + assert_close(tm_norm.to_numpy(), capacity / 8) + assert mf_abs is not None and mf_norm is not None + assert_close(mf_abs.to_numpy(), capacity) + assert_close(mf_norm.to_numpy(), capacity / 8) + rows.append( + dict( + mask=mask, + expected_capacity=capacity, + actual_capacity=bac.series.iloc[1], + auc=bac.auc_normalized, + ) + ) + records.append(raw) + # Exact weighted population built from native outcomes; compare compressed vs expanded. + combined = deepcopy(records[0]) + expanded = deepcopy(combined) + for name in ["tm_placement", "node_to_node_capacity_matrix"]: + patterns = [] + for mask, raw in enumerate(records): + pattern = deepcopy(raw["steps"][name]["data"]["flow_results"][0]) + pattern["occurrence_count"] = mask + 1 + patterns.append(pattern) + combined["steps"][name]["data"]["flow_results"] = patterns + expanded["steps"][name]["data"]["flow_results"] = [ + dict(p, occurrence_count=1) + for p in patterns + for _ in range(p["occurrence_count"]) + ] + assert ( + compute_bac(combined, "tm_placement").to_jsonable() + == compute_bac(expanded, "tm_placement").to_jsonable() + ) + assert compute_sps(combined).to_jsonable() == compute_sps(expanded).to_jsonable() + latency_combined = compute_latency_stretch(combined).per_iteration + latency_expanded = compute_latency_stretch(expanded).per_iteration + assert latency_combined is not None and latency_expanded is not None + np.testing.assert_allclose( + latency_combined["p99"], + latency_expanded["p99"], + equal_nan=True, + ) + (output / "native-summary.json").write_text( + json.dumps( + {"exhaustive_masks": rows, "weighted_failure_samples": 136}, indent=2 + ) + + "\n" + ) + return records + + +def verify_variants(output: Path) -> dict[str, dict[str, Any]]: + outcomes = {} + # Priority classes contend for the same three units after the short path fails. + doc = scenario_document(1) + template = doc["demands"]["traffic"][0] + doc["demands"]["traffic"] = [ + dict(template, volume=5, priority=0), + dict(template, volume=3, priority=1), + ] + raw = native(doc) + alpha, bac, _, latency, _, _, sps = analyze_one_seed( + raw, output, False, enable_maxflow=True + ) + assert_close(alpha.alpha_star, 1) + assert_close(bac.series, [8, 3]) + assert sps is not None + assert_close(sps.series, [3 / 8]) + assert_close(latency.baseline["p99"], 2) + classes = raw["steps"]["tm_placement"]["data"]["flow_results"][0]["flows"] + assert {r["priority"]: r["placed"] for r in classes} == {0: 3, 1: 0} + outcomes["priorities"] = raw + + # Regex expansion splits the given volume across pairs; it does not multiply it. + doc = scenario_document(0) + doc["demands"]["traffic"][0]["source"] = "^(u|v)$" + doc["workflow"][2]["source"] = "^(u|v)$" + raw = native(doc) + alpha, bac, _, _, _, _, sps = analyze_one_seed( + raw, output, False, enable_maxflow=True + ) + flows = raw["steps"]["tm_placement"]["data"]["baseline"]["flows"] + assert len(flows) == 2 + assert_close(sum(r["demand"] for r in flows), alpha.alpha_star * 8) + assert_close(alpha.alpha_star, 1) + assert_close(bac.offered, 8) + assert sps is not None + assert_close(sps.series, [1]) + outcomes["pairwise_expansion"] = raw + + # Combine-mode pseudo endpoints must remain distinct and fully supported. + doc = scenario_document(1) + doc["demands"]["traffic"][0]["mode"] = "combine" + raw = native(doc) + _, bac, _, latency, _, _, _ = analyze_one_seed(raw, output, False) + assert_close(bac.series, [8, 3]) + assert_close(latency.failures["p99"], 2) + outcomes["combine"] = raw + + # Opposite directions use independent link capacities. + doc = scenario_document(1) + doc["demands"]["traffic"].append( + dict(doc["demands"]["traffic"][0], source="^b/dc/node$", target="^a/dc/node$") + ) + doc["workflow"][2].update(source="^([ab]/dc/node)$", target="^([ab]/dc/node)$") + raw = native(doc) + _, bac, _, _, _, _, sps = analyze_one_seed(raw, output, False, enable_maxflow=True) + assert_close(bac.series, [16, 6]) + assert len(bac.per_flow) == 2 + assert sps is not None + assert_close(sps.series, [3 / 8]) + outcomes["bidirectional"] = raw + + # Search-limited alpha is a reported bound, not a claim of true network maximum. + doc = scenario_document(0) + doc["workflow"][0]["alpha_max"] = 0.5 + raw = native(doc) + alpha, bac, _, _, cp, _, _ = analyze_one_seed(raw, output, False) + assert_close(alpha.alpha_star, 0.5) + assert_close(bac.offered, 4) + assert_close(cp.per_offered_demand__usd_per_gbit, 104) + outcomes["bounded_msd"] = raw + + # No failure policy means a baseline-only native result. + doc = scenario_document(0) + for step in doc["workflow"]: + step.pop("failure_policy", None) + raw = native(doc) + _, bac, _, _, _, operations, sps = analyze_one_seed( + raw, output, False, enable_maxflow=True + ) + assert bac.series.tolist() == [8] + assert operations.failures_count == 0 and operations.total_iterations_count == 1 + assert sps is not None and sps.series.empty + outcomes["baseline_only"] = raw + + # The engine refuses MSD when no positive feasible alpha exists. + doc = scenario_document(0) + for link in doc["network"]["links"]: + link["disabled"] = True + disconnected = simulate(yaml.safe_dump(doc)) + assert not disconnected.success and "No feasible alpha" in disconnected.error + (output / "disconnected-msd.json").write_text( + json.dumps( + {"status": disconnected.status, "error": disconnected.error}, indent=2 + ) + + "\n" + ) + for name, raw in outcomes.items(): + (output / f"variant-{name}.json").write_text(json.dumps(raw, indent=2) + "\n") + return outcomes + + +def verify_multiseed(output: Path, plots: bool = False) -> Path: + import pandas as pd + from scipy import stats + + from netlab.metrics.batch import run_metrics + from netlab.metrics.comparisons import compare_scenarios + from netlab.metrics.reporting import print_summary_from_csv + + root = output / "multiseed" + root.mkdir(exist_ok=True) + expected: dict[tuple[str, int], dict[str, Any]] = {} + for scenario, long_capacity in [("baseline", 3), ("upgraded", 6), ("lean", 2)]: + for index, seed in enumerate(range(101, 106)): + doc = scenario_document(0, seed) + for link in doc["network"]["links"][2:]: + link["capacity"] = long_capacity + doc["failures"]["selected"]["modes"][0]["rules"][0].update( + mode="choice", count=1, match={"conditions": []} + ) + iterations = 9 + index * 10 + for step in doc["workflow"][1:3]: + step["iterations"] = iterations + raw = native(doc) + (root / f"{scenario}__seed{seed}_scenario.results.json").write_text( + json.dumps(raw, indent=2) + "\n" + ) + total = 5 + long_capacity + delivered, stretch = [total], [] + patterns = raw["steps"]["tm_placement"]["data"]["flow_results"] + for pattern in patterns: + failed = pattern["failure_state"]["excluded_links"] + assert len(failed) == 1 + lost_short = "u" in failed[0].split("|") + value = long_capacity if lost_short else 5 + count = pattern["occurrence_count"] + delivered.extend([value] * count) + stretch.extend([2 if lost_short else 1] * count) + assert_close(pattern["summary"]["total_placed"], value) + assert len(stretch) == iterations + + def bw(percent, delivered=delivered): + return max( + v + for v in set(delivered) + if Fraction(sum(x >= v for x in delivered), len(delivered)) + >= Fraction(str(percent)) / 100 + ) + + mid = statistics.median(stretch) + bw999 = bw(99.9) + expected[scenario, seed] = dict( + alpha_star=total / 8, + bac_auc=statistics.mean(delivered) / total, + bw_p90=bw(90) / total, + bw_p95=bw(95) / total, + bw_p99=bw(99) / total, + bw_p999=bw999 / total, + lat_base_p50=1 if 5 / total >= 0.5 else 2, + lat_fail_p99=mid, + lat_TD99=mid / 2, + lat_SLO_1_2_drop=5 / total - (2 - mid), + lat_best_path_drop=5 / total - (2 - mid), + lat_WES_delta=(mid - 1) - long_capacity / total, + iters_fail=iterations, + iters_total=iterations + 1, + unique_patterns=len(patterns), + node_count=4, + link_count=4, + capex_total=416, + USD_per_Gbit_offered=416 / total, + Watt_per_Gbit_offered=48 / total, + USD_per_Gbit_p999=416 / bw999, + Watt_per_Gbit_p999=48 / bw999, + samples=[x / total for x in delivered], + ) + log = io.StringIO() + with redirect_stdout(log): + run_metrics(root, no_plots=not plots, enable_maxflow=True) + if plots: + print_summary_from_csv(root, plots=True, quiet=True) + (output / "multiseed.log").write_text(log.getvalue()) + report = output / "multiseed_metrics" + project = pd.read_csv(report / "project.csv").set_index("scenario") + normalized = pd.read_csv(report / "project_baseline_normalized.csv").set_index( + "scenario" + ) + rename = { + "bac_auc": "auc_norm", + "bw_p90": "bw_p90_pct", + "bw_p95": "bw_p95_pct", + "bw_p99": "bw_p99_pct", + "bw_p999": "bw_p999_pct", + } + ratio_metrics = [ + "bac_auc", + "bw_p90", + "bw_p95", + "bw_p99", + "bw_p999", + "lat_fail_p99", + "USD_per_Gbit_offered", + "Watt_per_Gbit_offered", + "USD_per_Gbit_p999", + "Watt_per_Gbit_p999", + ] + for scenario in ["baseline", "upgraded", "lean"]: + seed_rows = [expected[scenario, seed] for seed in range(101, 106)] + for key in seed_rows[0]: + if key == "samples": + continue + assert_close( + project.loc[scenario, key], + statistics.median(row[key] for row in seed_rows), + ) + for key in ratio_metrics: + ratios = [ + expected[scenario, seed][key] / expected["baseline", seed][key] + for seed in range(101, 106) + ] + assert_close( + normalized.loc[scenario, rename.get(key, key) + "_r"], + statistics.median(ratios), + ) + for key in ["lat_SLO_1_2_drop", "lat_best_path_drop", "lat_WES_delta"]: + differences = [ + expected[scenario, seed][key] - expected["baseline", seed][key] + for seed in range(101, 106) + ] + assert_close( + normalized.loc[scenario, key + "_d"], statistics.median(differences) + ) + summary = json.loads((report / scenario / "bac_summary.json").read_text()) + pooled = [sample for row in seed_rows for sample in row["samples"]] + assert_close(summary["pooled_tail"]["auc_norm"], statistics.mean(pooled)) + for x, probability in zip( + summary["pooled_grid"]["x_pct"], + summary["pooled_grid"]["availability"], + strict=True, + ): + assert_close( + probability, sum(sample * 100 >= x for sample in pooled) / len(pooled) + ) + for x, q25, q75 in zip( + summary["pooled_iqr"]["x_pct"], + summary["pooled_iqr"]["a_q25"], + summary["pooled_iqr"]["a_q75"], + strict=True, + ): + values = sorted( + sum(sample * 100 >= x for sample in row["samples"]) + / len(row["samples"]) + for row in seed_rows + ) + # Five seed observations: linear 25th/75th percentiles are ranks 1 and 3. + assert_close([q25, q75], [values[1], values[3]]) + comparisons = compare_scenarios(report, scenarios=("upgraded", "baseline")) + for record in comparisons: + metric = str(record["metric"]) + source = {"bw_p999_pct": "bw_p999"}.get(metric, metric) + a = np.array([expected["upgraded", seed][source] for seed in range(101, 106)]) + b = np.array([expected["baseline", seed][source] for seed in range(101, 106)]) + assert record["n"] == 5 + assert_close(record["mean_diff"], statistics.mean((a - b).tolist())) + if not np.all(a - b == (a - b)[0]): + assert_close(record["p"], stats.ttest_rel(a, b).pvalue) + (output / "multiseed-expected.json").write_text( + json.dumps( + {f"{scenario}/{seed}": row for (scenario, seed), row in expected.items()}, + indent=2, + ) + + "\n" + ) + return root + + +def main(): + parser = argparse.ArgumentParser(description=__doc__) + parser.add_argument("--plots", action="store_true") + parser.add_argument( + "--output", type=Path, default=Path("build/metrics-verification") + ) + args = parser.parse_args() + args.output.mkdir(parents=True, exist_ok=True) + verify_exhaustive(args.output) + verify_variants(args.output) + verify_multiseed(args.output, args.plots) + print( + "Verified all 16 edge failure subsets and 136 weighted native samples, plus seven native model variants." + ) + + +if __name__ == "__main__": + main() diff --git a/experiments/dc-bb-interconnect/README.md b/experiments/dc-bb-interconnect/README.md index b105bba..2fd2ac2 100644 --- a/experiments/dc-bb-interconnect/README.md +++ b/experiments/dc-bb-interconnect/README.md @@ -7,7 +7,7 @@ within a site. Topology directories are named `dc{rows}x{devices}_bb{planes}x{devices}_bb{planes}x{devices}_dc{rows}x{devices}_{pattern}`, -ordered DC-A, BB-A, BB-B, DC-B. Each directory's `scenario.yml` defines the actual +ordered DC-A, BB-A, BB-B, DC-B. Each directory's `scenario.yml` defines its connections and capacities. Use `--list` to see the available configurations. ## Run diff --git a/experiments/dc-bb-interconnect/debug/test1_simple_chain.yml b/experiments/dc-bb-interconnect/debug/test1_simple_chain.yml index e1442e7..950df6e 100644 --- a/experiments/dc-bb-interconnect/debug/test1_simple_chain.yml +++ b/experiments/dc-bb-interconnect/debug/test1_simple_chain.yml @@ -27,7 +27,7 @@ network: capacity: 1000 cost: 1 - # BB-A to BB-B: LOW capacity (bottleneck) + # BB-A to BB-B: low capacity (bottleneck) - source: "SiteA/BB/node/1" target: "SiteB/BB/node/1" capacity: 100 diff --git a/experiments/dc-bb-interconnect/debug/test3_combine_mode.yml b/experiments/dc-bb-interconnect/debug/test3_combine_mode.yml index 00191d9..f073cfd 100644 --- a/experiments/dc-bb-interconnect/debug/test3_combine_mode.yml +++ b/experiments/dc-bb-interconnect/debug/test3_combine_mode.yml @@ -23,7 +23,7 @@ network: pattern: mesh capacity: 1000 cost: 1 - # BB-A to BB-B (BOTTLENECK) + # BB-A to BB-B (bottleneck) - source: "SiteA/BB/node/1" target: "SiteB/BB/node/1" capacity: 100 diff --git a/experiments/dc-bb-interconnect/debug/test4_multi_bb.yml b/experiments/dc-bb-interconnect/debug/test4_multi_bb.yml index 28498df..e3126e8 100644 --- a/experiments/dc-bb-interconnect/debug/test4_multi_bb.yml +++ b/experiments/dc-bb-interconnect/debug/test4_multi_bb.yml @@ -39,7 +39,7 @@ network: capacity: 1000 cost: 1 - # BB-A to BB-B (1:1, BOTTLENECK) + # BB-A to BB-B (1:1, bottleneck) - source: "SiteA/BB-${i}/" target: "SiteB/BB-${i}/" expand: diff --git a/experiments/dc-bb-interconnect/run.py b/experiments/dc-bb-interconnect/run.py index c128ca7..5c5840f 100755 --- a/experiments/dc-bb-interconnect/run.py +++ b/experiments/dc-bb-interconnect/run.py @@ -1,18 +1,5 @@ #!/usr/bin/env python3 -"""DC-BB Interconnect Experiment Runner - -Single entry point for running and analyzing DC-BB topology experiments. - -Usage: - ./run.py # Run all, default seeds - ./run.py '*dc16x36*' # Run topologies matching pattern - ./run.py '*bb16x4*' '*bb4x4*' # Multiple patterns - ./run.py dc16x36_bb16x4_bb16x4_dc16x36_one_to_one # Exact name - ./run.py --seeds 42:50 # Seed range (42-49) - ./run.py --list # List available topologies - ./run.py --metrics # Compute metrics only - ./run.py --compare # Print comparison table -""" +"""Run, compare, and visualize DC-BB experiments. See README.md for commands.""" import argparse import json @@ -95,21 +82,17 @@ def _compute_scenario_metrics( seed = int(rf.stem.split("__seed")[1].split("_")[0]) summary["seeds"].append(seed) - # Get network statistics (from first seed only) if not summary["network"]: net_stats = extract_network_stats(results) if net_stats: summary["network"] = net_stats - # DC-BB specific: Check BB link distribution self._check_bb_distribution(results, summary) - # Get alpha_star alpha = extract_alpha_star(results) if alpha: summary["alpha_star"] = alpha - # Extract and merge failure metrics analysis = analyze_results(results) for step_name, stats in analysis.failure_stats.items(): if step_name not in summary["failure_analysis"]: @@ -120,7 +103,6 @@ def _compute_scenario_metrics( summary["failure_analysis"][step_name]["iterations"] += stats.iterations summary["failure_analysis"][step_name]["ratios"].extend(stats.ratios) - # Compute final statistics for step_name, data in summary["failure_analysis"].items(): ratios = data["ratios"] summary["failure_analysis"][step_name] = { @@ -131,7 +113,6 @@ def _compute_scenario_metrics( "std_dev": statistics.stdev(ratios) if len(ratios) > 1 else 0, } - # Find worst failures if summary["failure_analysis"]: min_ratio = min( s["min_ratio"] for s in summary["failure_analysis"].values() @@ -147,12 +128,10 @@ def _compute_scenario_metrics( "min_ratio": min_ratio, } - # Save summary summary_file = self.results_dir / scenario / "summary.json" with open(summary_file, "w") as f: json.dump(summary, f, indent=2) - # Print summary self._print_scenario_summary(summary) print(f"\n Saved: {summary_file}") @@ -208,7 +187,6 @@ def generate_comparison(self, scenarios: Optional[List[str]] = None) -> None: if scenarios is None: scenarios = self.discover_scenarios() - # Load summaries summaries = {} for scenario in scenarios: summary_file = self.results_dir / scenario / "summary.json" @@ -220,10 +198,8 @@ def generate_comparison(self, scenarios: Optional[List[str]] = None) -> None: print("No summaries found. Run experiments first.") return - # Build comparison table builder = ComparisonTableBuilder(summaries) - # Add standard rows builder.add_row("Network", format_network_stats) builder.add_row( "Alpha*", @@ -231,7 +207,6 @@ def generate_comparison(self, scenarios: Optional[List[str]] = None) -> None: formatter=lambda v: f"{v:.2f}" if v else "?", ) - # Add alpha % of max alphas = [ s.get("alpha_star") for s in summaries.values() if s.get("alpha_star") ] @@ -242,14 +217,12 @@ def generate_comparison(self, scenarios: Optional[List[str]] = None) -> None: formatter=lambda v: f"{v / max_alpha * 100:.1f}%" if v else "?", ) - # DC-BB specific: BB Even row builder.add_row( "BB Even", lambda s: s.get("network", {}).get("bb_even"), formatter=lambda v: "Yes" if v is True else ("No" if v is False else "?"), ) - # Add failure metric rows with DC-BB labels failure_labels = { "tm_dc_bb_link": "DC-BB Link", "tm_bb_bb_link": "BB-BB Link", @@ -265,7 +238,6 @@ def generate_comparison(self, scenarios: Optional[List[str]] = None) -> None: formatter=format_percent, ) - # Add worst case row builder.add_row( "Worst", lambda s: s.get("worst_failures", {}).get("min_ratio"), @@ -273,7 +245,6 @@ def generate_comparison(self, scenarios: Optional[List[str]] = None) -> None: default="N/A", ) - # Print and save (transposed: scenarios as rows for better readability) builder.print_table(title="TOPOLOGY COMPARISON", transposed=True) comparison_file = self.results_dir / "comparison.json" @@ -285,12 +256,7 @@ def generate_visualizations( scenarios: Optional[List[str]] = None, split: bool = False, ) -> None: - """Generate SVG visualizations for scenarios. - - Args: - scenarios: List of scenario names (default: all discovered) - split: If True, also generate split view with disconnected components stacked - """ + """Render selected scenarios; optionally stack disconnected components.""" if scenarios is None: scenarios = self.discover_scenarios() @@ -302,7 +268,6 @@ def generate_visualizations( print(f" [{scenario}] No results found, skipping") continue - # Find first results file with build_graph data results_file = None for seed_dir in sorted(scenario_dir.iterdir()): if not seed_dir.is_dir(): @@ -320,7 +285,6 @@ def generate_visualizations( print(f" [{scenario}] No build_graph data found, skipping") continue - # Generate visualization using DC-BB specific visualizer output_path = scenario_dir / "topology.svg" try: viz = DcBbVisualizer.from_results(results_file) @@ -328,7 +292,6 @@ def generate_visualizations( viz.render_svg(output_path) print(f" [{scenario}] Generated: {output_path}") - # Generate split view if requested if split: viz_split = DcBbVisualizer.from_results(results_file) viz_split.layout() @@ -353,29 +316,19 @@ def parse_seeds(seed_args: List[str]) -> List[int]: def filter_scenarios(patterns: List[str], available: List[str]) -> List[str]: - """Filter scenarios by patterns (glob-style with * and ?). - - Args: - patterns: List of patterns to match (supports * and ? wildcards) - available: List of all available scenario names - - Returns: - List of matching scenario names (preserves order, no duplicates) - """ + """Match names or glob patterns, preserving order and removing duplicates.""" import fnmatch matched = [] seen = set() for pattern in patterns: - # Check if pattern contains wildcards if "*" in pattern or "?" in pattern: for name in available: if fnmatch.fnmatch(name, pattern) and name not in seen: matched.append(name) seen.add(name) else: - # Exact match if pattern in available and pattern not in seen: matched.append(pattern) seen.add(pattern) @@ -441,7 +394,6 @@ def main(): runner = DcBbExperimentRunner(Path(__file__).parent) - # List topologies if args.list: scenarios = runner.discover_scenarios() if not scenarios: @@ -453,10 +405,8 @@ def main(): print("└" + "─" * 60 + "\n") return - # Parse seeds seeds = parse_seeds(args.seeds) - # Determine which topologies to run available = runner.discover_scenarios() if not available: print("No topologies found. Create topologies in topologies/*/scenario.yml") @@ -468,7 +418,6 @@ def main(): print("No topologies matched the pattern(s).") print(f"Available: {', '.join(available)}") return - # Show matched topologies in a nice table print(f"\n┌─ Matched {len(scenarios)} topology(ies) ─" + "─" * 40) for i, t in enumerate(scenarios, 1): print(f"│ {i:>2}. {t}") @@ -476,7 +425,6 @@ def main(): else: scenarios = available - # Metrics-only mode (no experiment runs) if args.metrics: runner.compute_metrics(scenarios) runner.generate_comparison(scenarios) @@ -484,17 +432,14 @@ def main(): runner.generate_visualizations(scenarios, split=args.split) return - # Compare-only mode (just print existing comparison) if args.compare: runner.generate_comparison(scenarios) return - # Visualize-only mode (only if no other action flags) if args.visualize and not args.force and not args.dry_run: runner.generate_visualizations(scenarios, split=args.split) return - # Run experiments print(f"Running {len(scenarios)} topology(ies) with seeds {seeds}") print("-" * 60) @@ -515,7 +460,6 @@ def main(): f" Summary: {stats['ran']} ran, {stats['cached']} cached, {stats['failed']} failed" ) - # Compute metrics after runs (skip if dry-run) if not args.dry_run: print("\n" + "-" * 60) print("Computing metrics...") diff --git a/experiments/dc-bb-interconnect/topologies/dc16x36_bb16x4_bb16x4_dc16x36_one_to_one/scenario.yml b/experiments/dc-bb-interconnect/topologies/dc16x36_bb16x4_bb16x4_dc16x36_one_to_one/scenario.yml index d404b25..e202975 100644 --- a/experiments/dc-bb-interconnect/topologies/dc16x36_bb16x4_bb16x4_dc16x36_one_to_one/scenario.yml +++ b/experiments/dc-bb-interconnect/topologies/dc16x36_bb16x4_bb16x4_dc16x36_one_to_one/scenario.yml @@ -1,11 +1,10 @@ # One-to-One: Each DC row connects to exactly one BB plane # -# Configuration: # DC: 16 rows x 36 nodes/row = 576 nodes per site # BB: 16 planes x 4 nodes/plane = 64 nodes per site # Total: 640 nodes per site, 1280 nodes total # -# Pattern: DC row i connects to BB plane i +# Connections: DC row i connects to BB plane i # - Each DC row has path through exactly 1 plane blueprints: diff --git a/experiments/dc-bb-interconnect/topologies/dc4x9_bb4x4_bb4x4_dc4x9_balanced_dense/scenario.yml b/experiments/dc-bb-interconnect/topologies/dc4x9_bb4x4_bb4x4_dc4x9_balanced_dense/scenario.yml index 465a7ff..1ed1982 100644 --- a/experiments/dc-bb-interconnect/topologies/dc4x9_bb4x4_bb4x4_dc4x9_balanced_dense/scenario.yml +++ b/experiments/dc-bb-interconnect/topologies/dc4x9_bb4x4_bb4x4_dc4x9_balanced_dense/scenario.yml @@ -1,11 +1,10 @@ # Balanced Dense: Skip-one rotation with equal BB connection counts # -# Configuration: # DC: 4 rows x 9 nodes = 36 nodes per site # BB: 4 planes x 4 nodes = 16 nodes per site # Total: 52 nodes per site, 104 nodes total # -# Pattern: Each DC connects to 3 of 4 BB nodes per plane (skips one) +# Connections: Each DC connects to 3 of 4 BB nodes per plane (skips one) # DC-1,5 → BB 2,3,4 in all planes (skip BB 1) # DC-2,6 → BB 1,3,4 in all planes (skip BB 2) # DC-3,7 → BB 1,2,4 in all planes (skip BB 3) diff --git a/experiments/dc-bb-interconnect/topologies/dc4x9_bb4x4_bb4x4_dc4x9_balanced_semi_dense/scenario.yml b/experiments/dc-bb-interconnect/topologies/dc4x9_bb4x4_bb4x4_dc4x9_balanced_semi_dense/scenario.yml index 4616d97..49ac4c1 100644 --- a/experiments/dc-bb-interconnect/topologies/dc4x9_bb4x4_bb4x4_dc4x9_balanced_semi_dense/scenario.yml +++ b/experiments/dc-bb-interconnect/topologies/dc4x9_bb4x4_bb4x4_dc4x9_balanced_semi_dense/scenario.yml @@ -1,11 +1,10 @@ # Balanced Semi-Dense: Rotated pairs with two BB connections per plane # -# Configuration: # DC: 4 rows x 9 nodes = 36 nodes per site # BB: 4 planes x 4 nodes = 16 nodes per site # Total: 52 nodes per site, 104 nodes total # -# Pattern: Each DC connects to 2 adjacent BB nodes per plane +# Connections: Each DC connects to 2 adjacent BB nodes per plane # DC-1,5 → BB 1,2 in all planes # DC-2,6 → BB 2,3 in all planes # DC-3,7 → BB 3,4 in all planes diff --git a/experiments/dc-bb-interconnect/topologies/dc4x9_bb4x4_bb4x4_dc4x9_balanced_sparse/scenario.yml b/experiments/dc-bb-interconnect/topologies/dc4x9_bb4x4_bb4x4_dc4x9_balanced_sparse/scenario.yml index ba95dc4..43a34fa 100644 --- a/experiments/dc-bb-interconnect/topologies/dc4x9_bb4x4_bb4x4_dc4x9_balanced_sparse/scenario.yml +++ b/experiments/dc-bb-interconnect/topologies/dc4x9_bb4x4_bb4x4_dc4x9_balanced_sparse/scenario.yml @@ -1,11 +1,10 @@ # Balanced Sparse: Latin square assignment with one BB connection per plane # -# Configuration: # DC: 4 rows x 9 nodes = 36 nodes per site # BB: 4 planes x 4 nodes = 16 nodes per site # Total: 52 nodes per site, 104 nodes total # -# Pattern: Each DC connects to 1 BB per plane with Latin square rotation +# Connections: Each DC connects to 1 BB per plane with Latin square rotation # DC-1,5 → R1@P1, R2@P2, R3@P3, R4@P4 # DC-2,6 → R2@P1, R3@P2, R4@P3, R1@P4 # DC-3,7 → R3@P1, R4@P2, R1@P3, R2@P4 diff --git a/experiments/dc-bb-interconnect/topologies/dc4x9_bb4x4_bb4x4_dc4x9_dense_all_planes/scenario.yml b/experiments/dc-bb-interconnect/topologies/dc4x9_bb4x4_bb4x4_dc4x9_dense_all_planes/scenario.yml index 5986ce3..d39723a 100644 --- a/experiments/dc-bb-interconnect/topologies/dc4x9_bb4x4_bb4x4_dc4x9_dense_all_planes/scenario.yml +++ b/experiments/dc-bb-interconnect/topologies/dc4x9_bb4x4_bb4x4_dc4x9_dense_all_planes/scenario.yml @@ -1,11 +1,10 @@ # Dense All-Planes: Each DC connects to 2 BB nodes per plane (ad-hoc pattern) # -# Configuration: # DC: 4 rows x 9 nodes = 36 nodes per site # BB: 4 planes x 4 nodes = 16 nodes per site # Total: 52 nodes per site, 104 nodes total # -# Pattern: DC nodes split by position +# Connections: DC nodes split by position # DC nodes 1-5 → BB nodes 1,2 in all planes # DC nodes 6-9 → BB nodes 3,4 in all planes @@ -53,7 +52,7 @@ network: bb_plane_id: ${n} links: - # Site A: DC nodes 1-5 connect to BB nodes 1,2 in ALL planes + # Site A: DC nodes 1-5 connect to BB nodes 1,2 in all planes - source: path: "SiteA/DC-.*/[1-5]$" target: @@ -65,7 +64,7 @@ network: link_type: dc_bb site: A - # Site A: DC nodes 6-9 connect to BB nodes 3,4 in ALL planes + # Site A: DC nodes 6-9 connect to BB nodes 3,4 in all planes - source: path: "SiteA/DC-.*/[6-9]$" target: @@ -77,7 +76,7 @@ network: link_type: dc_bb site: A - # Site B: DC nodes 1-5 connect to BB nodes 1,2 in ALL planes + # Site B: DC nodes 1-5 connect to BB nodes 1,2 in all planes - source: path: "SiteB/DC-.*/[1-5]$" target: @@ -89,7 +88,7 @@ network: link_type: dc_bb site: B - # Site B: DC nodes 6-9 connect to BB nodes 3,4 in ALL planes + # Site B: DC nodes 6-9 connect to BB nodes 3,4 in all planes - source: path: "SiteB/DC-.*/[6-9]$" target: diff --git a/experiments/dc-bb-interconnect/topologies/dc4x9_bb4x4_bb4x4_dc4x9_full_mesh/scenario.yml b/experiments/dc-bb-interconnect/topologies/dc4x9_bb4x4_bb4x4_dc4x9_full_mesh/scenario.yml index 7f5faf9..62cdd81 100644 --- a/experiments/dc-bb-interconnect/topologies/dc4x9_bb4x4_bb4x4_dc4x9_full_mesh/scenario.yml +++ b/experiments/dc-bb-interconnect/topologies/dc4x9_bb4x4_bb4x4_dc4x9_full_mesh/scenario.yml @@ -1,11 +1,10 @@ # Full Mesh: Every DC node connects to every BB node in all planes # -# Configuration: # DC: 4 rows x 9 nodes = 36 nodes per site # BB: 4 planes x 4 nodes = 16 nodes per site # Total: 52 nodes per site, 104 nodes total # -# Pattern: Complete bipartite graph between DC and BB +# Connections: Complete bipartite graph between DC and BB # Each of 36 DC nodes connects to all 16 BB nodes blueprints: diff --git a/experiments/dc-bb-interconnect/topologies/dc4x9_bb4x4_bb4x4_dc4x9_one_to_one/scenario.yml b/experiments/dc-bb-interconnect/topologies/dc4x9_bb4x4_bb4x4_dc4x9_one_to_one/scenario.yml index cae125f..888fb83 100644 --- a/experiments/dc-bb-interconnect/topologies/dc4x9_bb4x4_bb4x4_dc4x9_one_to_one/scenario.yml +++ b/experiments/dc-bb-interconnect/topologies/dc4x9_bb4x4_bb4x4_dc4x9_one_to_one/scenario.yml @@ -1,15 +1,10 @@ # One-to-One: Each DC row connects to exactly one BB plane # -# Configuration: # DC: 4 rows x 9 nodes = 36 nodes per site # BB: 4 planes x 4 nodes = 16 nodes per site # Total: 52 nodes per site, 104 nodes total # -# Pattern: DC row i meshes to all 4 BB nodes in plane i -# DC-1 → BB-1 (full mesh) -# DC-2 → BB-2 (full mesh) -# DC-3 → BB-3 (full mesh) -# DC-4 → BB-4 (full mesh) +# Connections: DC row i meshes to all 4 BB nodes in plane i blueprints: DC_Row: diff --git a/experiments/dc-bb-interconnect/topologies/dc4x9_bb4x4_bb4x4_dc4x9_sparse_all_planes_v1/scenario.yml b/experiments/dc-bb-interconnect/topologies/dc4x9_bb4x4_bb4x4_dc4x9_sparse_all_planes_v1/scenario.yml index fca57a1..fa36992 100644 --- a/experiments/dc-bb-interconnect/topologies/dc4x9_bb4x4_bb4x4_dc4x9_sparse_all_planes_v1/scenario.yml +++ b/experiments/dc-bb-interconnect/topologies/dc4x9_bb4x4_bb4x4_dc4x9_sparse_all_planes_v1/scenario.yml @@ -1,11 +1,10 @@ # Sparse All-Planes Option 1: Striped assignment across planes # -# Configuration: # DC: 4 rows x 9 nodes = 36 nodes per site # BB: 4 planes x 4 nodes = 16 nodes per site # Total: 52 nodes per site, 104 nodes total # -# Pattern: DC node pairs assigned to specific planes +# Connections: DC node pairs assigned to specific planes # DC nodes 1,2 → BB Plane 1 (full mesh) # DC nodes 3,4 → BB Plane 2 (full mesh) # DC nodes 5,6 → BB Plane 3 (full mesh) diff --git a/experiments/dc-bb-interconnect/topologies/dc4x9_bb4x4_bb4x4_dc4x9_sparse_all_planes_v2/scenario.yml b/experiments/dc-bb-interconnect/topologies/dc4x9_bb4x4_bb4x4_dc4x9_sparse_all_planes_v2/scenario.yml index fad5418..74619bc 100644 --- a/experiments/dc-bb-interconnect/topologies/dc4x9_bb4x4_bb4x4_dc4x9_sparse_all_planes_v2/scenario.yml +++ b/experiments/dc-bb-interconnect/topologies/dc4x9_bb4x4_bb4x4_dc4x9_sparse_all_planes_v2/scenario.yml @@ -1,11 +1,10 @@ # Sparse All-Planes Option 2: Round-robin assignment (all 9 nodes connected) # -# Configuration: # DC: 4 rows x 9 nodes = 36 nodes per site # BB: 4 planes x 4 nodes = 16 nodes per site # Total: 52 nodes per site, 104 nodes total # -# Pattern: DC nodes distributed round-robin across planes +# Connections: DC nodes distributed round-robin across planes # DC nodes 1,5,9 → BB Plane 1 (full mesh) # DC nodes 2,6 → BB Plane 2 (full mesh) # DC nodes 3,7 → BB Plane 3 (full mesh) diff --git a/experiments/dc-bb-interconnect/topologies/dc4x9_bb4x4_bb4x4_dc4x9_two_to_one/scenario.yml b/experiments/dc-bb-interconnect/topologies/dc4x9_bb4x4_bb4x4_dc4x9_two_to_one/scenario.yml index a4be9cb..d1c4a2c 100644 --- a/experiments/dc-bb-interconnect/topologies/dc4x9_bb4x4_bb4x4_dc4x9_two_to_one/scenario.yml +++ b/experiments/dc-bb-interconnect/topologies/dc4x9_bb4x4_bb4x4_dc4x9_two_to_one/scenario.yml @@ -1,11 +1,10 @@ # Two-to-One: Two DC rows share one BB plane (2 planes total) # -# Configuration: # DC: 4 rows x 9 nodes = 36 nodes per site # BB: 2 planes x 4 nodes = 8 nodes per site # Total: 44 nodes per site, 88 nodes total # -# Pattern: Two DC rows mesh to one BB plane +# Connections: Two DC rows mesh to one BB plane # DC-1, DC-2 → BB-1 (full mesh) # DC-3, DC-4 → BB-2 (full mesh) diff --git a/experiments/dc-bb-interconnect/topologies/dc4x9_bb4x4_bb4x4_dc4x9_two_to_two/scenario.yml b/experiments/dc-bb-interconnect/topologies/dc4x9_bb4x4_bb4x4_dc4x9_two_to_two/scenario.yml index ca3b9ff..17168c5 100644 --- a/experiments/dc-bb-interconnect/topologies/dc4x9_bb4x4_bb4x4_dc4x9_two_to_two/scenario.yml +++ b/experiments/dc-bb-interconnect/topologies/dc4x9_bb4x4_bb4x4_dc4x9_two_to_two/scenario.yml @@ -1,11 +1,10 @@ # Two-to-Two: Two DC rows connect to two BB planes (isolated groups) # -# Configuration: # DC: 4 rows x 9 nodes = 36 nodes per site # BB: 4 planes x 4 nodes = 16 nodes per site # Total: 52 nodes per site, 104 nodes total # -# Pattern: Two DC rows mesh to two BB planes, creating isolated groups +# Connections: Two DC rows mesh to two BB planes, creating isolated groups # DC-1, DC-2 → BB-1, BB-2 (full mesh) # DC-3, DC-4 → BB-3, BB-4 (full mesh) diff --git a/experiments/dc-bb-interconnect/visualize.py b/experiments/dc-bb-interconnect/visualize.py index 97c364c..028933d 100644 --- a/experiments/dc-bb-interconnect/visualize.py +++ b/experiments/dc-bb-interconnect/visualize.py @@ -1,11 +1,5 @@ #!/usr/bin/env python3 -""" -DC-BB Topology Visualizer - -Generates organized SVG diagrams from ngraph results with BuildGraph export. -Layout: Semantic attribute-based positioning - DC rows horizontal, BB planes in middle. -Site A DCs at top, BB planes in middle, Site B DCs at bottom. -""" +"""Draw DC-BB graphs with site A above the backbone and site B below it.""" import sys from collections import defaultdict @@ -23,14 +17,7 @@ class DcBbVisualizer(GraphVisualizer): - """ - DC-BB specific 3-tier layout visualizer. - - Layout structure: - - Site A DC rows: horizontal band at top - - BB planes: vertical boxes in middle (Site A nodes top, Site B nodes bottom) - - Site B DC rows: horizontal band at bottom - """ + """Place DC rows above and below BB planes; group each plane in a box.""" # DC-BB specific layout constants (not in StyleConfig) DC_ROW_GAP = 24 @@ -63,24 +50,20 @@ def layout(self) -> Dict[str, Tuple[float, float]]: self._groups = groups positions = {} - # Discover all DC rows and BB planes dc_ids = sorted(set(groups["dc"]["A"].keys()) | set(groups["dc"]["B"].keys())) bb_plane_ids = sorted( set(groups["bb"]["A"].keys()) | set(groups["bb"]["B"].keys()) ) - # Find max nodes per DC row (for consistent spacing) max_dc_nodes = 0 for site in ["A", "B"]: for dc_id in dc_ids: max_dc_nodes = max(max_dc_nodes, len(groups["dc"][site].get(dc_id, []))) - # Calculate DC row box width dc_row_box_width = ( max_dc_nodes * self.style.node_spacing + self.style.group_padding * 2 ) - # Find max BB nodes per site per plane max_bb_nodes_per_plane = 0 for site in ["A", "B"]: for plane_id in bb_plane_ids: @@ -88,11 +71,9 @@ def layout(self) -> Dict[str, Tuple[float, float]]: max_bb_nodes_per_plane, len(groups["bb"][site].get(plane_id, [])) ) - # Calculate BB plane box width bb_plane_width = max_bb_nodes_per_plane * self.BB_NODE_SPACING + 32 self._bb_plane_width = bb_plane_width - # Calculate total widths for centering num_dc_rows = len(dc_ids) num_planes = len(bb_plane_ids) @@ -103,11 +84,9 @@ def layout(self) -> Dict[str, Tuple[float, float]]: num_planes * bb_plane_width + (num_planes - 1) * self.BB_PLANE_GAP ) - # Canvas width is the maximum of the two bands plus padding content_width = max(dc_band_width, bb_band_width) self.canvas_width = content_width + self.style.canvas_padding * 2 - # Y positions for each section y_dc_a = ( self.style.canvas_padding + self.style.node_radius @@ -120,7 +99,6 @@ def layout(self) -> Dict[str, Tuple[float, float]]: + self.style.section_gap ) - # Calculate BB section height bb_section_height = ( self.style.node_radius * 2 + 40 + self.style.node_radius * 2 + 60 ) @@ -134,7 +112,6 @@ def layout(self) -> Dict[str, Tuple[float, float]]: + self.style.canvas_padding ) - # --- Position DC nodes - Site A (top) --- dc_start_x = self.style.canvas_padding + (content_width - dc_band_width) / 2 for i, dc_id in enumerate(dc_ids): nodes = groups["dc"]["A"].get(dc_id, []) @@ -153,7 +130,6 @@ def layout(self) -> Dict[str, Tuple[float, float]]: ) positions.update(row_positions) - # --- Position DC nodes - Site B (bottom) --- for i, dc_id in enumerate(dc_ids): nodes = groups["dc"]["B"].get(dc_id, []) row_x = ( @@ -171,7 +147,6 @@ def layout(self) -> Dict[str, Tuple[float, float]]: ) positions.update(row_positions) - # --- Position BB nodes (middle section) --- bb_start_x = self.style.canvas_padding + (content_width - bb_band_width) / 2 y_bb_a = y_bb_start + self.style.node_radius + 20 y_bb_b = y_bb_start + bb_section_height - self.style.node_radius - 20 @@ -249,12 +224,10 @@ def get_groups(self) -> Dict[str, List[str]]: result = {} - # DC row groups for site in ["A", "B"]: for dc_id, nodes in self._groups["dc"][site].items(): result[f"dc_{site}_{dc_id}"] = nodes - # BB plane groups bb_plane_ids = sorted( set(self._groups["bb"]["A"].keys()) | set(self._groups["bb"]["B"].keys()) ) @@ -278,7 +251,6 @@ def get_group_style(self, group_name: str) -> Tuple[str, str]: def get_group_label(self, group_name: str) -> Optional[str]: """Get label for a group.""" if group_name.startswith("dc_"): - # Extract DC-N from dc_A_N or dc_B_N parts = group_name.split("_") if len(parts) >= 3: return f"DC-{parts[2]}" @@ -293,15 +265,10 @@ def visualize_topology( output_path: Optional[Path] = None, split: bool = False, ) -> Path: - """Visualize a topology from results JSON. - - Args: - results_path: Path to .results.json file - output_path: Optional output path for SVG (default: same dir as results) - split: If True, also generate a split view with disconnected components stacked + """Render a NetGraph result as SVG, defaulting to the result directory. - Returns: - Path to generated SVG + With ``split``, also render a view with disconnected components stacked. + Return the main SVG path. """ if output_path is None: output_path = results_path.parent / "topology.svg" diff --git a/experiments/dc-bb-interconnect/workflows/analysis.yml b/experiments/dc-bb-interconnect/workflows/analysis.yml index e3ec93a..5e1f58a 100644 --- a/experiments/dc-bb-interconnect/workflows/analysis.yml +++ b/experiments/dc-bb-interconnect/workflows/analysis.yml @@ -12,7 +12,7 @@ workflows: name: msd demand_set: inter_site alpha_start: 1.0 - resolution: 0.01 # Fine resolution for accurate Alpha* + resolution: 0.01 # MSD search increment. # DC-BB link failure (intra-site) - type: TrafficMatrixPlacement name: tm_dc_bb_link diff --git a/metrics.md b/metrics.md index 225fcbd..57eec7b 100644 --- a/metrics.md +++ b/metrics.md @@ -6,6 +6,10 @@ are weighted by each pattern's `occurrence_count`; BAC also includes the baselin as one sample. Availability describes the configured failure experiment, not measured network uptime. +MSD demand records use `source`, `target`, and `volume`; placement flow records +use `source`, `destination`, and `demand`. Each failure pattern must have a positive +integer `occurrence_count`. + ## Capacity and bandwidth | Column | Definition | @@ -15,25 +19,39 @@ measured network uptime. | `node_count`, `link_count` | Median topology counts across seeds. | | `alpha_star` | Demand multiplier returned by the MSD search, subject to its bounds, resolution, and placement settings. | | `bac_auc` | Mean of `min(delivered / baseline_delivered, 1)` across samples. | -| `bw_p99`, `bw_p999` | Lower-tail delivered-bandwidth quantile at 0.01 or 0.001, divided by baseline delivery. | +| `bw_p99`, `bw_p999` | Greatest observed bandwidth met or exceeded by at least 99% or 99.9% of samples, divided by baseline delivery. | BAC uses baseline delivered bandwidth as its normalization value, called -`offered` in the API. Quantiles use the lower observed sample. `bw_p99` and -`bw_p999` are not capped at 1; AUC is. Per-direction BAC combines priority classes -with the same source and destination. +`offered` in the API. For sorted samples and availability probability `p`, +`BW@p` selects zero-based rank `n - ceil(n*p/100)`. Decimal probabilities use +exact count boundaries: for `[0,...,9]`, `BW@90 = 1`, since nine of ten values +are at least 1. This inverse-survival threshold differs from a descriptive +percentile. `quantiles_abs`, `quantiles_pct`, SPS `tails`, pair matrices and +sweep percentile arrays use the NumPy `lower` estimator, rank `floor((n-1)*q)`. +Raw ratios and curves are uncapped; AUC is capped at 1. + +BAC, pair matrices, and SPS sum priority classes with the same exact source and +destination. Fully disconnected iterations retain their zero bandwidth samples. +Survival curves use exact inclusive thresholds, combining ties without linear +interpolation. Optional structural pair survivability (SPS) uses independently computed MaxFlow capacities: `sum(min(pair_capacity, pair_demand)) / sum(pair_demand)` per failure iteration. It does not measure simultaneous traffic placement. Enable it with -`--enable-maxflow` and a `node_to_node_capacity_matrix` step. +`--enable-maxflow` and a `node_to_node_capacity_matrix` step. Its baseline must +cover the exact placement source/destination pairs. For physical pairwise +traffic, use full-name capture groups in MaxFlow selectors, such as `^(A)$` +and `^(B)$`; selectors without captures label groups with the regex itself. +Group or virtual endpoint labels that do not match placement pairs raise an error. +`SPS@p` uses the same inverse-survival threshold as BAC, over failure samples only. ## Latency stretch -For each source/destination pair, the reference cost is the minimum cost carrying -nonzero volume in the baseline flow's `cost_distribution`. Stretch is path cost -divided by that reference. Percentiles and shares are weighted by delivered -volume. Failure summaries are medians of the per-iteration values, followed by a -median across seeds for project tables. +Each exact source/destination pair has its own reference: the minimum +cost carrying nonzero volume in its baseline `cost_distribution`. Stretch is +path cost divided by that reference. Percentiles and shares are weighted by +delivered volume. Failure summaries take the median across iterations, then +project tables take the median across seeds. | Column | Definition | |--------|------------| @@ -45,9 +63,12 @@ median across seeds for project tables. | `lat_WES_delta` | Median failure weighted excess stretch minus baseline weighted excess stretch. | Weighted excess stretch is the volume-weighted mean of `max(stretch - 1, 0)`. -Latency metrics describe delivered traffic; dropped traffic contributes no path -cost. Read them alongside BAC. `lat_fail_p99` is a typical iteration's tail -summary, not the worst failure's p99. +Latency metrics describe delivered traffic with a positive baseline cost reference; +dropped traffic contributes no path cost. `reference_coverage` in per-seed JSON +records the included fraction of delivered volume. It is zero for missing path +details and undefined when nothing is delivered. Fully disconnected iterations +retain missing entries and are excluded from latency medians. Read latency alongside BAC and reference coverage. +`lat_fail_p99` describes a typical iteration's tail, not the worst failure. ## Iterations, timing, and cost @@ -58,11 +79,15 @@ summary, not the worst failure's p99. | `unique_patterns` | Number of distinct failure records. | | `tm_duration_total_sec` | Recorded `tm_placement` duration in seconds. | | `tm_duration_per_iter_sec` | Total duration divided by total iterations. | -| `capex_total` | Total capital cost reported by network statistics. | +| `capex_total` | Total capital cost reported by the `cost_power` step. | | `USD_per_Gbit_offered`, `Watt_per_Gbit_offered` | Cost or power divided by `alpha_star * base_total_demand`. | | `USD_per_Gbit_p999`, `Watt_per_Gbit_p999` | Cost or power divided by absolute bandwidth at 99.9% availability. | -Cost ratios are undefined when their denominator is zero or unavailable. +Missing cost data is unavailable. Cost ratios are undefined when +their denominator is zero or unavailable. JSON writes undefined numeric metrics +as `null`, and CSV uses empty numeric fields. Reported zero cost or power stays zero. +Time per iteration is amortized over the requested failure samples plus baseline, +including repeated patterns; it is not the runtime of a single unique solve. Timing depends on the execution environment; compare runs under similar conditions. ## Project files @@ -78,7 +103,20 @@ Timing depends on the execution environment; compare runs under similar conditio Normalized comparisons pair matching seeds with the baseline. The text summary shows absolute metrics, normalized metrics, and comparison statistics. `netlab test A B` runs paired t-tests between two scenarios on the per-seed -metrics in `_metrics`; `--alpha` sets the significance level. +metrics in `_metrics`; `--alpha` sets the significance level. Inference +requires at least three finite matched seeds. Constant observed differences use +point CIs and p=0 (nonzero difference) or p=1 (zero); this computational convention +does not establish certainty about a population. Holm families contain available +scenario comparisons within each metric. Heatmap markers use adjusted p-values. + +The baseline is chosen consistently in tables and plots: an explicit argument, +then `NGRAPH_BASELINE_SCENARIO`, then a name containing `baseline`, then the first +alphabetically. An explicitly named missing baseline is an error. Ratios with +zero denominators remain undefined even in the baseline's own row. + +Pooling weights every sample equally: seeds with more iterations contribute more +weight. Seed medians and IQR use equal seed weight. Independent failure-pattern +positions are never aligned across seeds. ## Figures @@ -86,7 +124,7 @@ metrics in `_metrics`; `--alpha` sets the significance level. |--------|----------| | `BAC.png` | Pooled availability `P(delivered ≥ threshold)` versus percent of baseline delivery. IQR bands across seed curves are shown with at least three seeds. | | `BAC_delta_vs_baseline.png` | Difference in availability from the selected baseline, by delivered-bandwidth threshold. Positive values mean higher availability. | -| `Latency_p99.png` | Pooled exceedance `P(iteration p99 stretch > threshold)` across failure iterations. Lower values mean fewer iterations exceed the threshold. | +| `Latency_p99.png` | Pooled exceedance `P(iteration p99 stretch ≥ threshold)` across failure iterations. Lower values mean fewer iterations exceed the threshold. | | `IterationOps.png` | Median and IQR across seeds for failure iterations, distinct patterns, and seconds per iteration. | | `effects_heatmap.png` | Mean normalized effects; markers use Holm-adjusted p-values below 0.05. | | `abs_*.png`, `norm_*.png` | Per-seed values and scenario medians, in absolute or baseline-normalized units. | @@ -100,3 +138,26 @@ Each scenario directory contains `alpha_summary.json`, `bac_summary.json`, Its `seed*/` directories contain metric JSON files, BAC sample CSVs, per-iteration latency data, and placement matrices. [tests/data/README.md](tests/data/README.md) describes the checked-in examples and how to regenerate them. + +## Reproducibility and interpretation + +Each `netlab metrics` invocation replaces the complete generated report tree, +including when `--only` selects a subset. Old seeds, optional metrics, and +plots are removed. A failing run preserves the previous report and its provenance. +Filename and recorded seeds must agree, source hashes must remain unchanged during +analysis, and provenance records numeric-library versions and analysis settings. + +Finite sample percentiles cannot establish multi-nine uptime. +MSD is bounded by its search settings and engine precision; +a disconnected network for which no positive alpha is feasible is rejected by +NetGraph. A supplied zero-baseline result can still be analyzed in absolute units, +with normalized metrics undefined. + +Reproduce the independent verification with: + +```sh +venv/bin/python dev/verify_metrics.py --plots +``` + +See [dev/METRICS_VERIFICATION.md](dev/METRICS_VERIFICATION.md) for evidence, +defects found, experiment scope, and validation results. diff --git a/metrics/aggregate.py b/metrics/aggregate.py deleted file mode 100644 index 9e99f39..0000000 --- a/metrics/aggregate.py +++ /dev/null @@ -1,76 +0,0 @@ -from __future__ import annotations - -import json -from pathlib import Path -from typing import Any, Dict, cast - -import numpy as np -import numpy.typing as npt -import pandas as pd - - -def summarize_across_seeds(series_by_seed: Dict[int, Any], label: str) -> dict: - """ - Generic cross-seed summarizer. - If values are pandas Series (any length): compute per-position median & IQR - using positional alignment (0..N-1). This avoids issues with duplicate or - non-matching indexes across seeds. - If values are scalars: compute median & IQR. - """ - if not series_by_seed: - return {} - any_val = next(iter(series_by_seed.values())) - if hasattr(any_val, "index") and hasattr(any_val, "values"): - # Positional alignment: rows are iteration positions 0..max_len-1, columns are seeds - max_len = max(len(v) for v in series_by_seed.values()) - data = {} - for seed, series in series_by_seed.items(): - vals = pd.Series(series).astype(float).values - if len(vals) < max_len: - float_vals = cast(npt.NDArray[np.float64], vals.astype(float)) - vals = np.pad( - float_vals, (0, max_len - len(vals)), constant_values=np.nan - ) - data[seed] = vals - df = pd.DataFrame(data) # index: 0..max_len-1, columns: seeds - med = df.median(axis=1, numeric_only=True) - q25 = df.quantile(0.25, axis=1, numeric_only=True) - q75 = df.quantile(0.75, axis=1, numeric_only=True) - # Convert Series to dict[int, float] using explicit index iteration - # (avoids type issues with to_dict() returning dict[Hashable, Any]) - return { - "type": "series", - "median": {i: float(med.iloc[i]) for i in range(len(med))}, - "q25": {i: float(q25.iloc[i]) for i in range(len(q25))}, - "q75": {i: float(q75.iloc[i]) for i in range(len(q75))}, - } - else: - arr = np.array( - [float(v) for v in series_by_seed.values() if v is not None], dtype=float - ) - if arr.size == 0: - return {} - return { - "type": "scalar", - "median": float(np.nanmedian(arr)), - "q25": float(np.nanpercentile(arr, 25)), - "q75": float(np.nanpercentile(arr, 75)), - } - - -def write_json_atomic(path: Path, data: dict) -> None: - tmp = path.with_suffix(path.suffix + ".tmp") - tmp.parent.mkdir(parents=True, exist_ok=True) - with tmp.open("w", encoding="utf-8") as f: - json.dump(data, f, indent=2) - tmp.replace(path) - - -def write_csv_atomic(path: Path, df_or_series) -> None: - tmp = path.with_suffix(path.suffix + ".tmp") - tmp.parent.mkdir(parents=True, exist_ok=True) - if hasattr(df_or_series, "to_csv"): - df_or_series.to_csv(tmp) - else: - pd.DataFrame(df_or_series).to_csv(tmp) - tmp.replace(path) diff --git a/metrics/common.py b/metrics/common.py deleted file mode 100644 index 0a4c980..0000000 --- a/metrics/common.py +++ /dev/null @@ -1,94 +0,0 @@ -"""Shared utilities for metrics modules.""" - -from __future__ import annotations - -from typing import Dict, List, Tuple - - -def flow_occurrence_count(iteration: dict) -> int: - """Read the required positive integer weight of a flow result.""" - count = iteration.get("occurrence_count") - if type(count) is not int or count < 1: - raise ValueError("flow result occurrence_count must be a positive integer") - return count - - -def expand_flow_results(flow_results: list[dict]) -> list[dict]: - """Expand deduplicated flow_results by occurrence_count. - - ngraph deduplicates identical failure patterns during Monte Carlo - simulation. Each entry's ``occurrence_count`` indicates how many - iterations produced that exact pattern. This function repeats each - entry accordingly so that downstream statistical operations weight - each iteration equally. - """ - expanded: list[dict] = [] - for it in flow_results: - count = flow_occurrence_count(it) - expanded.extend([it] * count) - return expanded - - -def canonical_dc(endpoint: str) -> str: - """Normalize endpoint to canonical DC-level path ``metro/dc``. - - Examples:: - - 'metro1/dc1' → 'metro1/dc1' - 'metro1/dc1/dc/dc' → 'metro1/dc1' - 'metro1/dc1/rack/node' → 'metro1/dc1' - """ - if not endpoint: - return endpoint - parts = endpoint.split("/") - if len(parts) >= 2: - return f"{parts[0]}/{parts[1]}" - return endpoint - - -def baseline_demand_map( - results: dict, step_name: str = "tm_placement" -) -> Dict[Tuple[str, str], float]: - """Extract per-pair baseline demand from a placement step. - - Returns mapping ``(canonical_src, canonical_dst) -> demand``. - Pairs with zero or negative demand are excluded. - """ - step = results.get("steps", {}).get(step_name, {}) or {} - data = step.get("data", {}) or {} - base = data.get("baseline") - if not isinstance(base, dict): - return {} - out: Dict[Tuple[str, str], float] = {} - for rec in base.get("flows", []) or []: - s = canonical_dc(rec.get("source", "")) - d = canonical_dc(rec.get("destination", "")) - if not s or not d or s == d: - continue - try: - dem = float(rec.get("demand", 0.0)) - except Exception: - dem = 0.0 - if dem <= 0.0: - continue - out[(s, d)] = dem - return out - - -def get_tm_baseline_and_failures( - results: dict, step_name: str = "tm_placement" -) -> Tuple[dict, List[dict]]: - """Extract baseline dict and expanded failure list from a placement step. - - The returned failure list is expanded by ``occurrence_count`` so each - Monte Carlo iteration is represented as a separate entry. - """ - tm_step = results.get("steps", {}).get(step_name, {}) or {} - tm_data = tm_step.get("data", {}) or {} - baseline = tm_data.get("baseline") - if not isinstance(baseline, dict): - raise ValueError(f"{step_name}.data.baseline dict required") - flow_results = tm_data.get("flow_results", []) or [] - if not isinstance(flow_results, list): - raise ValueError(f"{step_name}.data.flow_results must be a list") - return baseline, expand_flow_results(flow_results) diff --git a/metrics/paired.py b/metrics/paired.py deleted file mode 100644 index 7df5dac..0000000 --- a/metrics/paired.py +++ /dev/null @@ -1,63 +0,0 @@ -from __future__ import annotations - -import math - -import numpy as np - - -def paired_normal_test_holm(a: np.ndarray, b: np.ndarray) -> dict: - """ - Paired test: compute differences d = a - b. For large n (>=30), use normal approx: - z = mean(d) / (std(d)/sqrt(n)), two-sided p = 2 * (1 - Phi(|z|)). - Returns dict with t_stat (z here), raw p, Holm-adjusted p across a family-of-one. - """ - assert a.shape == b.shape - d = a.astype(float) - b.astype(float) - d = d[np.isfinite(d)] - n = d.size - if n < 3: - return { - "t_stat": float("nan"), - "p": float("nan"), - "p_adj": float("nan"), - "n": int(n), - } - - mean = float(np.mean(d)) - sd = float(np.std(d, ddof=1)) if n > 1 else 0.0 - if sd == 0.0: - z = float("inf") if mean != 0 else 0.0 - p = 0.0 if mean != 0 else 1.0 - else: - z = mean / (sd / math.sqrt(n)) - # 2-sided p under N(0,1): p = 2 * (1 - Phi(|z|)) - # Phi via erf: Phi(x) = 0.5*(1+erf(x/sqrt(2))) - p = 2.0 * (1.0 - 0.5 * (1.0 + math.erf(abs(z) / math.sqrt(2.0)))) - - # Holm for a single test is the same p - return {"t_stat": float(z), "p": float(p), "p_adj": float(p), "n": int(n)} - - -def paired_wilcoxon_sign(a: np.ndarray, b: np.ndarray) -> dict: - """ - Nonparametric paired test (sign test). - Returns: z, two-sided p (normal approx), n_effective. - Ignores ties (zero differences). Suitable for n >= ~10. - """ - assert a.shape == b.shape - d = a.astype(float) - b.astype(float) - d = d[np.isfinite(d) & (d != 0.0)] - n = d.size - if n < 5: - return {"z": float("nan"), "p": float("nan"), "n": int(n)} - # Count positives under H0: Binomial(n, 0.5) - k = float((d > 0).sum()) - mean = 0.5 * n - sd = math.sqrt(0.25 * n) - if sd == 0.0: - z = float("inf") if k != mean else 0.0 - else: - z = (k - mean) / sd - # Two-sided p under N(0,1) - p = 2.0 * (1.0 - 0.5 * (1.0 + math.erf(abs(z) / math.sqrt(2.0)))) - return {"z": float(z), "p": float(p), "n": int(n)} diff --git a/metrics/summary.py b/metrics/summary.py deleted file mode 100644 index 98e6a1c..0000000 --- a/metrics/summary.py +++ /dev/null @@ -1,1522 +0,0 @@ -from __future__ import annotations - -import math -import os -from pathlib import Path -from typing import Any, Dict, List, Optional, Tuple - -import numpy as np -import pandas as pd - -# SciPy supplies t-distribution probabilities and confidence intervals. -from scipy import stats as scipy_stats # type: ignore - -from .aggregate import write_csv_atomic - - -def _try_import_rich() -> Tuple[Any, Any]: - from rich.console import Console # type: ignore - from rich.table import Table # type: ignore - - return Console, Table - - -Console, RichTable = _try_import_rich() - - -def _is_number(value: Any) -> bool: - return isinstance(value, (int, float)) and not ( - isinstance(value, float) and math.isnan(value) - ) - - -def _fmt(value: Any, digits: int = 3) -> str: - if value is None: - return "–" - if _is_number(value): - v = float(value) - # Integer-like numbers within tolerance: show as integer with thousands separators - if math.isfinite(v): - nearest = round(v) - if abs(v - nearest) <= max(1e-9, 1e-9 * max(abs(v), 1.0)): - return f"{int(nearest):,}" - # General numbers: fixed digits with thousands separators - return f"{v:,.{digits}f}" - return str(value) - - -def _safe_float(x: Any) -> float: - try: - return float(x) - except Exception: - return float("nan") - - -def _median_ignore_nan(values: List[Any]) -> float: - arr = np.array([_safe_float(v) for v in values], dtype=float) - if arr.size == 0: - return float("nan") - return float(np.nanmedian(arr)) - - -def _collect_latency_medians(latency_csv: Path) -> Dict[str, float]: - df = pd.read_csv(latency_csv) - # Columns: seed, p50, p90, p99, p999, p9999 - meds: Dict[str, float] = {} - for col in ("p50", "p90", "p99", "p999", "p9999"): - if col in df.columns: - series = pd.to_numeric(df[col], errors="coerce") - vals = np.asarray(series.values, dtype=float) - meds[col] = float(np.nanmedian(vals)) - return meds - - -def build_project_summary_table(analysis_root: Path) -> pd.DataFrame: - """ - Build a consolidated summary across all scenarios under analysis_root. - - Each scenario directory should contain: - - alpha_summary.json - - bac_summary.json with keys: - {"per_seed": ..., "tail": {p50,p90,p99,p999,p9999,auc_norm, - bw_p90_pct,bw_p95_pct,bw_p99_pct,bw_p999_pct,bw_p9999_pct}} - - latency_summary.csv (baseline, failure, and derived metrics per seed) - - costpower_summary.csv (per-seed rows with capex/power and normalizations) - """ - rows: List[Dict[str, Any]] = [] - if not analysis_root.exists(): - return pd.DataFrame() - - for scen_dir in sorted([p for p in analysis_root.iterdir() if p.is_dir()]): - scenario = scen_dir.name - if scenario.startswith("_"): - continue - - alpha_med = float("nan") - bw_p90 = float("nan") - bw_p95 = float("nan") - bw_p99 = float("nan") - bw_p999 = float("nan") - auc_norm = float("nan") - lat_base_p50 = float("nan") - lat_fail_p99 = float("nan") - lat_TD99 = float("nan") - lat_SLO_1_2_drop = float("nan") - lat_best_path_drop = float("nan") - lat_WES_delta = float("nan") - usd_per_gbit_p999 = float("nan") - watt_per_gbit_p999 = float("nan") - usd_per_gbit_offered = float("nan") - watt_per_gbit_offered = float("nan") - capex_total = float("nan") - node_count = float("nan") - link_count = float("nan") - seeds_count = 0 - # Iteration counts and pattern-count medians across seeds - iters_fail = float("nan") - iters_total = float("nan") - unique_patterns = float("nan") - # tm_placement timing (seconds): total and per-iteration median across seeds - tm_duration_total_sec = float("nan") - tm_duration_per_iter_sec = float("nan") - - # alpha* - ap = scen_dir / "alpha_summary.json" - if ap.exists(): - import json - - a2 = json.loads(ap.read_text(encoding="utf-8")) - alpha_med = _safe_float(a2.get("median")) - - # BAC cross-seed medians (keep AUC and BW@p) - bp = scen_dir / "bac_summary.json" - if bp.exists(): - import json - - b = json.loads(bp.read_text(encoding="utf-8")) - tail = b.get("tail", {}) or {} - auc_norm = _safe_float(tail.get("auc_norm")) - # bandwidth at probability (ratio to baseline/offered) - bw_p90 = ( - _safe_float(tail.get("bw_p90_pct")) - if "bw_p90_pct" in tail - else float("nan") - ) - bw_p95 = ( - _safe_float(tail.get("bw_p95_pct")) - if "bw_p95_pct" in tail - else float("nan") - ) - bw_p99 = ( - _safe_float(tail.get("bw_p99_pct")) - if "bw_p99_pct" in tail - else float("nan") - ) - bw_p999 = ( - _safe_float(tail.get("bw_p999_pct")) - if "bw_p999_pct" in tail - else float("nan") - ) - - # Latency cross-seed medians - lp = scen_dir / "latency_summary.csv" - if lp.exists(): - df_lat = pd.read_csv(lp) - - def _med(col: str, _df_lat: pd.DataFrame = df_lat) -> float: - if col in _df_lat.columns: - series = pd.to_numeric(_df_lat[col], errors="coerce") - vals = np.asarray(series.values, dtype=float) - return float(np.nanmedian(vals)) - return float("nan") - - lat_base_p50 = _med("base_p50") - lat_fail_p99 = _med("fail_p99") - lat_TD99 = _med("TD99") - lat_SLO_1_2_drop = _med("SLO_1_2_drop") - lat_best_path_drop = _med("best_path_share_drop") - lat_WES_delta = _med("WES_delta") - - # Network stats (node/link counts) - nsp = scen_dir / "network_stats_summary.csv" - if nsp.exists(): - df_ns = pd.read_csv(nsp) - if "node_count" in df_ns.columns: - node_count = float( - np.nanmedian(pd.to_numeric(df_ns["node_count"], errors="coerce")) - ) - if "link_count" in df_ns.columns: - link_count = float( - np.nanmedian(pd.to_numeric(df_ns["link_count"], errors="coerce")) - ) - # seeds counted as number of rows if not set by costpower - seeds_count = max(seeds_count, int(df_ns.shape[0])) - - # Cost/Power medians across seeds - cpp = scen_dir / "costpower_summary.csv" - # Iteration operations per-iteration medians across seeds - iop = scen_dir / "iterops_summary.csv" - if iop.exists(): - df_io = pd.read_csv(iop) - - # Counts and timing recorded for each seed - def _med_col(name: str, _df_io: pd.DataFrame = df_io) -> float: - if name not in _df_io.columns: - return float("nan") - series = pd.to_numeric(_df_io[name], errors="coerce") - vals = np.asarray(series.values, dtype=float) - return float(np.nanmedian(vals)) - - iters_fail = _med_col("iters_fail") - iters_total = _med_col("iters_total") - unique_patterns = _med_col("unique_patterns") - tm_duration_total_sec = _med_col("tm_duration_total_sec") - tm_duration_per_iter_sec = _med_col("tm_duration_per_iter_sec") - # seeds counted from rows (keep max with other sources) - seeds_count = max(seeds_count, int(df_io.shape[0])) - - if cpp.exists(): - df_cp = pd.read_csv(cpp) - # seeds counted from rows - seeds_count = max(seeds_count, int(df_cp.shape[0])) - for col, var in ( - ("USD_per_Gbit_p999", "usd_per_gbit_p999"), - ("Watt_per_Gbit_p999", "watt_per_gbit_p999"), - ("USD_per_Gbit_offered", "usd_per_gbit_offered"), - ("Watt_per_Gbit_offered", "watt_per_gbit_offered"), - ("capex_total", "capex_total"), - ): - if col in df_cp.columns: - series = pd.to_numeric(df_cp[col], errors="coerce") - vals = np.asarray(series.values, dtype=float) - val = float(np.nanmedian(vals)) - if var == "usd_per_gbit_p999": - usd_per_gbit_p999 = val - elif var == "watt_per_gbit_p999": - watt_per_gbit_p999 = val - elif var == "usd_per_gbit_offered": - usd_per_gbit_offered = val - elif var == "watt_per_gbit_offered": - watt_per_gbit_offered = val - elif var == "capex_total": - capex_total = val - - # Require non-zero seeds - if seeds_count == 0: - raise ValueError(f"No seeds counted for scenario {scenario}") - - row = { - "scenario": scenario, - "seeds": seeds_count, - "node_count": node_count, - "link_count": link_count, - "alpha_star": alpha_med, - "bw_p90": bw_p90, - "bw_p95": bw_p95, - "bw_p99": bw_p99, - "bw_p999": bw_p999, - "bac_auc": auc_norm, - "lat_base_p50": lat_base_p50, - "lat_fail_p99": lat_fail_p99, - "lat_TD99": lat_TD99, - "lat_SLO_1_2_drop": lat_SLO_1_2_drop, - "lat_best_path_drop": lat_best_path_drop, - "lat_WES_delta": lat_WES_delta, - # Iteration counts (median across seeds) - "iters_fail": iters_fail, - "iters_total": iters_total, - "unique_patterns": unique_patterns, - # tm_placement timing (seconds) - "tm_duration_total_sec": tm_duration_total_sec, - "tm_duration_per_iter_sec": tm_duration_per_iter_sec, - "USD_per_Gbit_offered": usd_per_gbit_offered, - "Watt_per_Gbit_offered": watt_per_gbit_offered, - "USD_per_Gbit_p999": usd_per_gbit_p999, - "Watt_per_Gbit_p999": watt_per_gbit_p999, - "capex_total": capex_total, - } - rows.append(row) - - if not rows: - return pd.DataFrame() - - df = pd.DataFrame(rows).set_index("scenario").sort_index() - # Preferred display order - cols = [ - "seeds", - "node_count", - "link_count", - "alpha_star", - # Bandwidth-at-probability ratios (primary availability figures) - "bw_p90", - "bw_p95", - "bw_p99", - "bw_p999", - "bac_auc", - # Latency summary (baseline vs failures + derived) - "lat_base_p50", - "lat_fail_p99", - "lat_TD99", - "lat_SLO_1_2_drop", - "lat_best_path_drop", - "lat_WES_delta", - # Iteration counts (median across seeds) - "iters_fail", - "iters_total", - "unique_patterns", - # tm_placement timing - "tm_duration_total_sec", - "tm_duration_per_iter_sec", - # Cost/Power at offered and reliable - "USD_per_Gbit_offered", - "Watt_per_Gbit_offered", - "USD_per_Gbit_p999", - "Watt_per_Gbit_p999", - "capex_total", - ] - cols = [c for c in cols if c in df.columns] + [ - c for c in df.columns if c not in cols - ] - return df[cols] - - -def print_pretty_table( - df: pd.DataFrame, title: Optional[str] = None, digits: int = 3 -) -> None: - if df is None or df.empty: - return - if Console and RichTable: - console = Console() - table = RichTable( - title=title, show_lines=False, show_header=True, pad_edge=False - ) - # Short display labels for readability - label_map = { - "node_count": "nodes", - "link_count": "links", - "node_count_r": "nodes r", - "link_count_r": "links r", - "alpha_star": "alpha*", - "bw_p90": "BW@90%", - "bw_p95": "BW@95%", - "bw_p99": "BW@99%", - "bw_p999": "BW@99.9%", - "bac_auc": "BAC AUC", - "lat_base_p50": "lat base p50", - "lat_fail_p99": "lat fail p99", - "lat_TD99": "TD99", - "lat_SLO_1_2_drop": "SLO≤1.2 drop", - "lat_best_path_drop": "best-path drop", - "lat_WES_delta": "WES Δ", - "iters_fail": "failure iterations", - "iters_total": "total iterations", - "unique_patterns": "unique patterns", - "USD_per_Gbit_offered": "USD/Gbps offered", - "Watt_per_Gbit_offered": "W/Gbps offered", - "USD_per_Gbit_p999": "USD/Gbps p99.9", - "Watt_per_Gbit_p999": "W/Gbps p99.9", - "capex_total": "CapEx (USD)", - } - index_label = str(df.index.name) if df.index.name is not None else "scenario" - table.add_column(index_label) - for col in df.columns: - table.add_column(label_map.get(str(col), str(col)), justify="right") - for idx, row in df.iterrows(): - table.add_row(str(idx), *[_fmt(v, digits) for v in row.tolist()]) - console.print(table) - # Add a compact legend for directions - console.print( - "\n[dim]- Ratios: higher is better (BW@p, BAC AUC); lower is better (lat_fail_p99, cost/power).\n- Drops/deltas: closer to 0 is better (SLO drop, best-path drop, WES Δ).[/dim]" - ) - else: - # Plain-text table without wrapping - if title: - print(title) - # Short display labels for readability - label_map = { - "node_count": "nodes", - "link_count": "links", - "node_count_r": "nodes r", - "link_count_r": "links r", - "alpha_star": "alpha*", - "bw_p90": "BW@90%", - "bw_p95": "BW@95%", - "bw_p99": "BW@99%", - "bw_p999": "BW@99.9%", - "bac_auc": "BAC AUC", - "lat_base_p50": "lat base p50", - "lat_fail_p99": "lat fail p99", - "lat_TD99": "TD99", - "lat_SLO_1_2_drop": "SLO≤1.2 drop", - "lat_best_path_drop": "best-path drop", - "lat_WES_delta": "WES Δ", - "iters_fail": "failure iterations", - "iters_total": "total iterations", - "unique_patterns": "unique patterns", - "USD_per_Gbit_offered": "USD/Gbps offered", - "Watt_per_Gbit_offered": "W/Gbps offered", - "USD_per_Gbit_p999": "USD/Gbps p99.9", - "Watt_per_Gbit_p999": "W/Gbps p99.9", - "capex_total": "CapEx (USD)", - } - # Pre-format values - formatted_rows = [] - for idx, row in df.iterrows(): - formatted_rows.append([str(idx)] + [_fmt(v, digits) for v in row.tolist()]) - index_label = str(df.index.name) if df.index.name is not None else "scenario" - headers = [index_label] + [label_map.get(str(c), str(c)) for c in df.columns] - # Compute column widths - widths = [len(h) for h in headers] - for r in formatted_rows: - for i, cell in enumerate(r): - widths[i] = max(widths[i], len(cell)) - # Print header - header_line = " ".join( - h.ljust(widths[i]) if i == 0 else h.rjust(widths[i]) - for i, h in enumerate(headers) - ) - print(header_line) - # Print separator - print(" ".join(("-" * widths[i]) for i in range(len(widths)))) - # Print rows - for r in formatted_rows: - line = " ".join( - r[i].ljust(widths[i]) if i == 0 else r[i].rjust(widths[i]) - for i in range(len(widths)) - ) - print(line) - - -def save_project_csv_incremental(df: pd.DataFrame, cwd: Optional[Path] = None) -> Path: - """Save df to cwd as project_{n}.csv (n increments to avoid overwrite).""" - out_dir = cwd or Path.cwd() - n = 0 - while True: - out_path = out_dir / f"project_{n}.csv" - if not out_path.exists(): - write_csv_atomic(out_path, df.reset_index()) - return out_path - n += 1 - - -def summarize_and_print( - analysis_root: Path, title: str = "Project summary", write_project_csv: bool = True -) -> Optional[Path]: - df = build_project_summary_table(analysis_root) - if df.empty: - print("(no scenarios summarized)") - return None - print_pretty_table(df, title=title) - # Print comparisons relative to the selected baseline. - base_df = build_baseline_normalized_table(analysis_root) - if not base_df.empty: - print_pretty_table( - base_df, title="Baseline-normalized metrics (scenario / baseline)" - ) - # Save CSV alongside the main project CSV - write_csv_atomic( - (analysis_root / "project_baseline_normalized.csv"), - base_df.reset_index(), - ) - # Normalized insights (all + filtered) - _print_normalized_insights(analysis_root) - if write_project_csv: - return save_project_csv_incremental(df) - return None - - -# -------------------- Baseline-normalized insights only -------------------- - - -def write_normalized_insights_csv(analysis_root: Path) -> Optional[Path]: - """Compute baseline-normalized insights and write them to normalized_insights.csv. - - The output is a wide CSV with one row per scenario and columns of the form - __mean, __n, __p. - Returns the path if written, else None when no insights are available. - """ - res = _build_normalized_insights(analysis_root) - if not res: - return None - df = pd.DataFrame(res).set_index("scenario").sort_index() - - # Add Holm-adjusted p-values per metric base across scenarios (within-metric family) - # For each column trio base__mean/base__n/base__p, compute base__p_adj - def _holm_adjust_1d(p_series: pd.Series) -> pd.Series: - # p_series indexed by scenario; returns adjusted p indexed the same - pairs = sorted( - [(idx, float(p)) for idx, p in p_series.items() if np.isfinite(float(p))], - key=lambda x: x[1], - ) - m = len(pairs) - out: Dict[str, float] = {} - prev = 0.0 - for i, (sc, p) in enumerate(pairs, start=1): - adj = min(1.0, (m - i + 1) * p) - adj = max(prev, adj) - out[str(sc)] = float(adj) - prev = 0.0 if math.isnan(adj) else adj - # fill others with NaN - return pd.Series({k: out.get(str(k), float("nan")) for k in p_series.index}) - - p_adj_cols: Dict[str, pd.Series] = {} - for c in sorted(df.columns): - if c.endswith("__p"): - base = c[:-3] - p_adj_cols[f"{base}__p_adj"] = _holm_adjust_1d( - pd.to_numeric(df[c], errors="coerce") - ) - for name, series in p_adj_cols.items(): - df[name] = series - out_path = analysis_root / "normalized_insights.csv" - write_csv_atomic(out_path, df.reset_index()) - return out_path - - -def write_project_per_seed_abs_csv(analysis_root: Path) -> Optional[Path]: - """Write per-seed absolute (non-baseline-normalized) metrics across all scenarios. - - Columns: scenario, seed, node_count, link_count, auc_norm, bw_p99_pct, - lat_fail_p99, USD_per_Gbit_offered, Watt_per_Gbit_offered, - USD_per_Gbit_p999, Watt_per_Gbit_p999, capex_total. - """ - scenarios = [ - p - for p in sorted(analysis_root.iterdir()) - if p.is_dir() and not p.name.startswith("_") - ] - if not scenarios: - return None - rows: List[Dict[str, Any]] = [] - for scen_dir in scenarios: - scen = scen_dir.name - # Network stats (per-seed) - ns_csv = scen_dir / "network_stats_summary.csv" - ns_map: Dict[int, Tuple[float, float]] = {} - if ns_csv.exists(): - df_ns = pd.read_csv(ns_csv) - for _, r in df_ns.iterrows(): - seed_val = r.get("seed") - try: - s = int(seed_val) if seed_val is not None else None - except Exception: - s = None - if s is None: - continue - ns_map[s] = ( - float(r.get("node_count", float("nan"))), - float(r.get("link_count", float("nan"))), - ) - # Per-seed JSONs - for seed_dir in sorted([p for p in scen_dir.glob("seed*") if p.is_dir()]): - try: - seed = int(seed_dir.name.replace("seed", "")) - except Exception: - continue - rec: Dict[str, Any] = {"scenario": scen, "seed": int(seed)} - # Node/link - if seed in ns_map: - rec["node_count"], rec["link_count"] = ns_map[seed] - # BAC - try: - import json as _json - - bj = _json.loads((seed_dir / "bac.json").read_text(encoding="utf-8")) - except Exception: - bj = {} - if bj: - auc = bj.get("auc_normalized") - if isinstance(auc, (int, float)): - rec["auc_norm"] = float(auc) - bwp = bj.get("bw_at_probability_pct", {}) or {} - v = bwp.get("99.0") if "99.0" in bwp else bwp.get(99.0) - if isinstance(v, (int, float)): - rec["bw_p99_pct"] = float(v) - # Latency - try: - import json as _json - - lj = _json.loads( - (seed_dir / "latency.json").read_text(encoding="utf-8") - ) - except Exception: - lj = {} - if lj: - failures = lj.get("failures", {}) or {} - v = failures.get("p99") - if isinstance(v, (int, float)): - rec["lat_fail_p99"] = float(v) - # Cost/Power - try: - import json as _json - - cpj = _json.loads( - (seed_dir / "costpower.json").read_text(encoding="utf-8") - ) - except Exception: - cpj = {} - if cpj: - for k in ( - "USD_per_Gbit_offered", - "Watt_per_Gbit_offered", - "USD_per_Gbit_p999", - "Watt_per_Gbit_p999", - "capex_total", - ): - v = cpj.get(k) - if isinstance(v, (int, float)): - rec[k] = float(v) - rows.append(rec) - if not rows: - return None - df = pd.DataFrame(rows) - out_path = analysis_root / "project_per_seed_abs.csv" - write_csv_atomic(out_path, df) - return out_path - - -def write_normalized_per_seed_csv(analysis_root: Path) -> Optional[Path]: - """Write per-seed baseline-normalized metrics across all scenarios (excluding baseline). - - Uses the same per-seed normalization as insights: ratios vs 1.0 and deltas vs 0.0. - Columns: scenario, seed, then *_r and *_d metrics. - """ - data = _collect_normalized_per_seed(analysis_root) - if not data: - return None - rows: List[Dict[str, Any]] = [] - for scen, seed_map in data.items(): - for seed, metrics in seed_map.items(): - rec = {"scenario": scen, "seed": int(seed)} - for k, v in metrics.items(): - rec[str(k)] = float(v) - rows.append(rec) - if not rows: - return None - df = pd.DataFrame(rows) - out_path = analysis_root / "project_baseline_normalized_per_seed.csv" - write_csv_atomic(out_path, df) - return out_path - - -def _read_json_safely(path: Path) -> Dict[str, Any]: - import json - - return json.loads(path.read_text(encoding="utf-8")) - - -def _collect_per_seed_metrics(scen_dir: Path) -> Dict[int, Dict[str, float]]: - """ - For a scenario directory, collect per-seed scalar metrics for paired comparisons. - Returns {seed: {metric_name: value, ...}} - Metrics: - - alpha_star - - bac_p999: from seed*/bac.json quantiles_pct[0.999] - - latency_p99: median across iterations from seed*/latency_tails.csv - - USD_per_Gbit_p999, Watt_per_Gbit_p999, capex_total: from seed*/costpower.json - """ - out: Dict[int, Dict[str, float]] = {} - for seed_dir in sorted([p for p in scen_dir.glob("seed*") if p.is_dir()]): - seed = int(seed_dir.name.replace("seed", "")) - - metrics: Dict[str, float] = {} - - # alpha* - aj = _read_json_safely(seed_dir / "alpha.json") - if aj: - v = aj.get("alpha_star") - if isinstance(v, (int, float)): - metrics["alpha_star"] = float(v) - - # BAC p999 (normalized) - bj = _read_json_safely(seed_dir / "bac.json") - if bj: - qp = bj.get("quantiles_pct", {}) or {} - v = qp.get("0.999") if "0.999" in qp else qp.get(0.999) - if isinstance(v, (int, float)): - metrics["bac_p999"] = float(v) - - # Latency p99: median across iterations for this seed - lt_csv = seed_dir / "latency_tails.csv" - if lt_csv.exists(): - lt_df = pd.read_csv(lt_csv) - if "p99" in lt_df.columns and not lt_df["p99"].empty: - vals = np.asarray(lt_df["p99"].astype(float).values, dtype=float) - metrics["latency_p99"] = float(np.nanmedian(vals)) - - # Cost/Power per-seed - cpj = _read_json_safely(seed_dir / "costpower.json") - if cpj: - for k in ("USD_per_Gbit_p999", "Watt_per_Gbit_p999", "capex_total"): - v = cpj.get(k) - if isinstance(v, (int, float)): - metrics[k] = float(v) - - if metrics: - out[seed] = metrics - - return out - - -def _collect_per_seed_full_metrics(scen_dir: Path) -> Dict[int, Dict[str, float]]: - """ - Collect per-seed metrics needed for baseline-normalized comparisons. - Returns {seed: {metric_name: value}} - Metrics (per seed): - - bw_p99_pct, bw_p999_pct, auc_norm: from seed*/bac.json - - lat_fail_p99, lat_TD99, lat_SLO_1_2_drop, lat_best_path_drop, lat_WES_delta: from seed*/latency.json - - USD_per_Gbit_offered, Watt_per_Gbit_offered, USD_per_Gbit_p999, Watt_per_Gbit_p999: from seed*/costpower.json - """ - - def _read_json(path: Path) -> Dict[str, Any]: - try: - import json - - return json.loads(path.read_text(encoding="utf-8")) - except Exception: - return {} - - out: Dict[int, Dict[str, float]] = {} - for seed_dir in sorted([p for p in scen_dir.glob("seed*") if p.is_dir()]): - try: - seed = int(seed_dir.name.replace("seed", "")) - except Exception: - continue - m: Dict[str, float] = {} - # BAC - bj = _read_json(seed_dir / "bac.json") - if bj: - auc = bj.get("auc_normalized") - if isinstance(auc, (int, float)): - m["auc_norm"] = float(auc) - bwp = bj.get("bw_at_probability_pct", {}) or {} - - def _g(p: float, bwp: Dict[str, Any] = bwp) -> Optional[float]: - v = bwp.get(str(p)) - if v is None: - from typing import cast - - v = cast(Dict[Any, Any], bwp).get(p) - return float(v) if isinstance(v, (int, float)) else None - - v90 = _g(90.0) - if v90 is not None: - m["bw_p90_pct"] = v90 - v95 = _g(95.0) - if v95 is not None: - m["bw_p95_pct"] = v95 - v99 = _g(99.0) - if v99 is not None: - m["bw_p99_pct"] = v99 - v999 = _g(99.9) - if v999 is not None: - m["bw_p999_pct"] = v999 - # Latency - lj = _read_json(seed_dir / "latency.json") - if lj: - failures = lj.get("failures", {}) or {} - derived = lj.get("derived", {}) or {} - for k_src, k_dst in (("p99", "lat_fail_p99"),): - v = failures.get(k_src) - if isinstance(v, (int, float)): - m[k_dst] = float(v) - for k_src, k_dst in ( - ("TD99", "lat_TD99"), - ("SLO_1_2_drop", "lat_SLO_1_2_drop"), - ("best_path_share_drop", "lat_best_path_drop"), - ("WES_delta", "lat_WES_delta"), - ): - v = derived.get(k_src) - if isinstance(v, (int, float)): - m[k_dst] = float(v) - # PairCap omitted from normalized comparisons - # Cost/Power - cpj = _read_json(seed_dir / "costpower.json") - if cpj: - for k in ( - "USD_per_Gbit_offered", - "Watt_per_Gbit_offered", - "USD_per_Gbit_p999", - "Watt_per_Gbit_p999", - ): - v = cpj.get(k) - if isinstance(v, (int, float)): - m[k] = float(v) - if m: - out[seed] = m - return out - - -def build_baseline_normalized_table( - analysis_root: Path, baseline_scenario: Optional[str] = None -) -> pd.DataFrame: - """ - Build a table of scenario metrics normalized to a chosen baseline scenario. - Ratios are computed per seed on shared seeds, then aggregated as median across seeds. - Ratio metrics (scenario / baseline): - - bw_p99_pct, bw_p999_pct, auc_norm, lat_fail_p99, - USD_per_Gbit_offered, Watt_per_Gbit_offered, USD_per_Gbit_p999, Watt_per_Gbit_p999 - Drop/delta metrics (scenario - baseline): - - lat_SLO_1_2_drop, lat_best_path_drop, lat_WES_delta - Keep as-is (no extra normalization): - - lat_TD99 - """ - if not analysis_root.exists(): - raise FileNotFoundError(f"Analysis root not found: {analysis_root}") - scenarios = [ - p - for p in sorted(analysis_root.iterdir()) - if p.is_dir() and not p.name.startswith("_") - ] - if not scenarios: - raise ValueError("No scenarios found under analysis root") - # Choose baseline - bas = baseline_scenario or os.environ.get("NGRAPH_BASELINE_SCENARIO", "") - if bas: - base_name = bas - else: - # Heuristic: pick name containing 'baseline' else first - cand = [p.name for p in scenarios if "baseline" in p.name.lower()] - base_name = cand[0] if cand else scenarios[0].name - scen_to_seed_metrics = { - p.name: _collect_per_seed_full_metrics(p) for p in scenarios - } - if base_name not in scen_to_seed_metrics: - raise ValueError(f"Baseline scenario not found: {base_name}") - base = scen_to_seed_metrics[base_name] - rows: List[Dict[str, Any]] = [] - - ratio_keys = [ - "bw_p90_pct", - "bw_p95_pct", - "bw_p99_pct", - "bw_p999_pct", - "auc_norm", - "lat_fail_p99", - "USD_per_Gbit_offered", - "Watt_per_Gbit_offered", - "USD_per_Gbit_p999", - "Watt_per_Gbit_p999", - ] - delta_keys = ["lat_SLO_1_2_drop", "lat_best_path_drop", "lat_WES_delta"] - passthrough_keys = ["lat_TD99"] - - for scen_name, seed_map in scen_to_seed_metrics.items(): - if scen_name == base_name: - # Baseline row: ratios = 1, deltas = 0, passthrough as baseline medians - row: Dict[str, Any] = {"scenario": scen_name, "baseline": base_name} - for k in ratio_keys: - row[f"{k}_r"] = 1.0 - for k in delta_keys: - row[f"{k}_d"] = 0.0 - # Structural ratios also default to 1.0 for baseline - row["node_count_r"] = 1.0 - row["link_count_r"] = 1.0 - # lat_TD99 baseline median - vals = [ - v.get("lat_TD99") - for v in base.values() - if isinstance(v.get("lat_TD99"), (int, float)) - ] - row["lat_TD99"] = ( - float(np.nanmedian(np.asarray(vals, dtype=float))) - if vals - else float("nan") - ) - rows.append(row) - continue - # Common seeds - common = sorted(set(seed_map.keys()) & set(base.keys())) - if not common: - continue - ratios: Dict[str, List[float]] = {k: [] for k in ratio_keys} - deltas: Dict[str, List[float]] = {k: [] for k in delta_keys} - passthrough: Dict[str, List[float]] = {k: [] for k in passthrough_keys} - for s in common: - sm = seed_map.get(s, {}) - bm = base.get(s, {}) - for k in ratio_keys: - a = sm.get(k) - b = bm.get(k) - a = float(a) if isinstance(a, (int, float)) else float("nan") - b = float(b) if isinstance(b, (int, float)) else float("nan") - r = ( - (a / b) - if (np.isfinite(a) and np.isfinite(b) and b != 0.0) - else float("nan") - ) - ratios[k].append(r) - for k in delta_keys: - a = sm.get(k) - b = bm.get(k) - a = float(a) if isinstance(a, (int, float)) else float("nan") - b = float(b) if isinstance(b, (int, float)) else float("nan") - d = (a - b) if (np.isfinite(a) and np.isfinite(b)) else float("nan") - deltas[k].append(d) - for k in passthrough_keys: - v = sm.get(k) - v = float(v) if isinstance(v, (int, float)) else float("nan") - passthrough[k].append(v) - - row = {"scenario": scen_name, "baseline": base_name} - - # Structural ratios (node/link counts) — per-seed normalization, then median - def _counts_per_seed(name: str) -> Dict[int, Tuple[float, float]]: - out: Dict[int, Tuple[float, float]] = {} - p = analysis_root / name / "network_stats_summary.csv" - if not p.exists(): - return out - dfc = pd.read_csv(p) - if "seed" not in dfc.columns: - return out - for _, r in dfc.iterrows(): - seed_val = r.get("seed") - s = int(seed_val) if seed_val is not None else None - if s is None: - continue - node_count_val = float(r.get("node_count", float("nan"))) - link_count_val = float(r.get("link_count", float("nan"))) - out[s] = (node_count_val, link_count_val) - return out - - scen_counts = _counts_per_seed(scen_name) - base_counts = _counts_per_seed(base_name) - node_rs: List[float] = [] - link_rs: List[float] = [] - for s in sorted(set(scen_counts.keys()) & set(base_counts.keys())): - sn, sl = scen_counts.get(s, (float("nan"), float("nan"))) - bn, bl = base_counts.get(s, (float("nan"), float("nan"))) - if np.isfinite(sn) and np.isfinite(bn) and bn > 0: - node_rs.append(float(sn / bn)) - if np.isfinite(sl) and np.isfinite(bl) and bl > 0: - link_rs.append(float(sl / bl)) - row["node_count_r"] = ( - float(np.nanmedian(np.asarray(node_rs, dtype=float))) - if node_rs - else float("nan") - ) - row["link_count_r"] = ( - float(np.nanmedian(np.asarray(link_rs, dtype=float))) - if link_rs - else float("nan") - ) - for k, series in ratios.items(): - arr = np.asarray(series, dtype=float) - arr = arr[np.isfinite(arr)] - row[f"{k}_r"] = float(np.nanmedian(arr)) if arr.size else float("nan") - for k, series in deltas.items(): - arr = np.asarray(series, dtype=float) - arr = arr[np.isfinite(arr)] - row[f"{k}_d"] = float(np.nanmedian(arr)) if arr.size else float("nan") - for k, series in passthrough.items(): - arr = np.asarray(series, dtype=float) - arr = arr[np.isfinite(arr)] - row[k] = float(np.nanmedian(arr)) if arr.size else float("nan") - rows.append(row) - - if not rows: - return pd.DataFrame() - df = pd.DataFrame(rows).set_index("scenario").sort_index() - # Order columns - col_order = [ - "baseline", - "node_count_r", - "link_count_r", - # Ratios (≥1 better for bw/auc; ≤1 better for cost/power/lat_fail_p99) - "bw_p90_pct_r", - "bw_p95_pct_r", - "bw_p99_pct_r", - "bw_p999_pct_r", - "auc_norm_r", - "lat_fail_p99_r", - "USD_per_Gbit_offered_r", - "Watt_per_Gbit_offered_r", - "USD_per_Gbit_p999_r", - "Watt_per_Gbit_p999_r", - # Drops/deltas (closer to 0 is better) - "lat_SLO_1_2_drop_d", - "lat_best_path_drop_d", - "lat_WES_delta_d", - # Passthrough - "lat_TD99", - ] - cols = [c for c in col_order if c in df.columns] + [ - c for c in df.columns if c not in col_order - ] - return df[cols] - - -def _paired_t_with_ci( - a: np.ndarray, b: np.ndarray, alpha: float = 0.05 -) -> Dict[str, Any]: - """ - Paired t-test for a and b with 95% CI for the mean difference (a-b). - Uses SciPy when available; falls back to normal approx if SciPy is unavailable. - Returns dict with keys: n, t_stat, p, mean_diff, ci_low, ci_high. - """ - assert a.shape == b.shape - # Ensure arrays are 1-D and same shape - if a.shape != b.shape: - raise ValueError("paired_t requires arrays with the same shape") - d = a.astype(float) - b.astype(float) - d = d[np.isfinite(d)] - n = d.size - if n < 3: - return { - "n": float(n), - "t_stat": float("nan"), - "p": float("nan"), - "mean_diff": float(np.nanmean(d) if n > 0 else np.nan), - "ci_low": float("nan"), - "ci_high": float("nan"), - } - mean_diff = float(np.mean(d)) - sd = float(np.std(d, ddof=1)) - se = sd / math.sqrt(n) if n > 0 else float("nan") - - # Treat near-zero SE as degenerate to avoid precision-loss paths - eps = 1e-12 - if not math.isfinite(se) or se <= eps: - t_stat = float("inf") if abs(mean_diff) > eps else 0.0 - # p-value under t-dist if available, else normal - if scipy_stats is not None and t_stat != 0.0: - p = 0.0 - tcrit = ( - float(scipy_stats.t.ppf(1.0 - alpha / 2.0, df=n - 1)) - if n > 1 - else float("nan") - ) - elif scipy_stats is not None and t_stat == 0.0: - p = 1.0 - tcrit = ( - float(scipy_stats.t.ppf(1.0 - alpha / 2.0, df=n - 1)) - if n > 1 - else float("nan") - ) - else: - # Normal approx - p = 0.0 if t_stat != 0.0 else 1.0 - tcrit = 1.96 - ci_low = float(mean_diff) - ci_high = float(mean_diff) - deterministic = True - else: - # Compute t and p manually to avoid SciPy's internal precision-loss warning - t_stat = mean_diff / se - if scipy_stats is not None: - df = max(n - 1, 1) - p = float(2.0 * scipy_stats.t.sf(abs(t_stat), df=df)) - tcrit = float(scipy_stats.t.ppf(1.0 - alpha / 2.0, df=df)) - else: - # Normal approximation - p = float( - 2.0 * (1.0 - 0.5 * (1.0 + math.erf(abs(t_stat) / math.sqrt(2.0)))) - ) - tcrit = 1.96 - ci_low = float(mean_diff - tcrit * se) - ci_high = float(mean_diff + tcrit * se) - deterministic = False - return { - "n": float(n), - "t_stat": float(t_stat), - "p": float(p), - "mean_diff": float(mean_diff), - "ci_low": float(ci_low), - "ci_high": float(ci_high), - "deterministic": bool(deterministic), - } - - -def _holm_adjust( - p_values: List[Tuple[Tuple[str, str], float]], -) -> Dict[Tuple[str, str], float]: - """ - Holm step-down adjustment for a list of (pair, pvalue). - pair is a (scenario_a, scenario_b) tuple for identification. - Returns mapping pair -> adjusted_p. - """ - # Sort ascending by p - sorted_items = sorted( - p_values, key=lambda x: (float("inf") if math.isnan(x[1]) else x[1]) - ) - m = len(sorted_items) - adjusted: Dict[Tuple[str, str], float] = {} - prev = 0.0 - for i, (pair, p) in enumerate(sorted_items, start=1): - if math.isnan(p): - adj = float("nan") - else: - adj = min(1.0, (m - i + 1) * p) - adj = max(prev, adj) - adjusted[pair] = float(adj) - prev = 0.0 if math.isnan(adj) else adj - return adjusted - - -def _build_insights(analysis_root: Path) -> List[Dict[str, Any]]: - """ - Compute pairwise paired t-tests across scenarios for selected metrics. - Returns a list of insight records with keys: - metric, scen_a, scen_b, n, mean_diff, ci_low, ci_high, p, p_adj, t_stat - """ - # Gather per-seed metrics for all scenarios - scenarios = [ - p - for p in sorted(analysis_root.iterdir()) - if p.is_dir() and not p.name.startswith("_") - ] - per_scen = {p.name: _collect_per_seed_metrics(p) for p in scenarios} - - # Metrics to analyze - metric_labels = { - "alpha_star": "alpha_star", - "bac_p999": "BAC p99.9 (delivered/offered)", - "latency_p99": "Latency p99 (stretch)", - "USD_per_Gbit_p999": "Cost per Gbps (USD) at p99.9", - "Watt_per_Gbit_p999": "Power per Gbps (W) at p99.9", - "capex_total": "Total CapEx (USD)", - } - - scenario_names = sorted(per_scen.keys()) - pairs: List[Tuple[str, str]] = [] - for i in range(len(scenario_names)): - for j in range(i + 1, len(scenario_names)): - pairs.append((scenario_names[i], scenario_names[j])) - - insights: List[Dict[str, Any]] = [] - - for metric in metric_labels.keys(): - # Collect raw p-values for Holm adjustment across all pairs for this metric - pvals_t: List[Tuple[Tuple[str, str], float]] = [] - tmp_results: Dict[Tuple[str, str], Dict[str, Any]] = {} - for a, b in pairs: - seeds_a = set(per_scen[a].keys()) - seeds_b = set(per_scen[b].keys()) - common = sorted(seeds_a & seeds_b) - if len(common) < 3: - continue - va = [] - vb = [] - for s in common: - ma = per_scen[a][s].get(metric, np.nan) - mb = per_scen[b][s].get(metric, np.nan) - if math.isfinite(_safe_float(ma)) and math.isfinite(_safe_float(mb)): - va.append(_safe_float(ma)) - vb.append(_safe_float(mb)) - if len(va) < 3: - continue - arr_a = np.array(va, dtype=float) - arr_b = np.array(vb, dtype=float) - test = _paired_t_with_ci(arr_a, arr_b) - test.update({"metric": metric, "scen_a": a, "scen_b": b}) - pvals_t.append(((a, b), test["p"])) - - tmp_results[(a, b)] = test - - if not pvals_t: - continue - - # Holm adjust - padj_t = _holm_adjust(pvals_t) - for pair, test in tmp_results.items(): - test["p_adj"] = float(padj_t.get(pair, float("nan"))) - insights.append(test) - - # Keep only entries with valid stats - return insights - - -def _collect_normalized_per_seed( - analysis_root: Path, baseline_scenario: Optional[str] = None -) -> Dict[str, Dict[int, Dict[str, float]]]: - """Return {scenario: {seed: metric->value}} for baseline-normalized metrics per seed. - Values are ratios for ratio metrics and deltas for drop metrics, computed per seed vs baseline. - """ - scenarios = [ - p - for p in sorted(analysis_root.iterdir()) - if p.is_dir() and not p.name.startswith("_") - ] - bas = baseline_scenario or os.environ.get("NGRAPH_BASELINE_SCENARIO", "") - if bas: - base_name = bas - else: - cand = [p.name for p in scenarios if "baseline" in p.name.lower()] - base_name = cand[0] if cand else (scenarios[0].name if scenarios else "") - if not base_name: - return {} - full = {p.name: _collect_per_seed_full_metrics(p) for p in scenarios} - if base_name not in full: - return {} - base = full[base_name] - ratio_keys = [ - "bw_p90_pct", - "bw_p95_pct", - "bw_p99_pct", - "bw_p999_pct", - "auc_norm", - "lat_fail_p99", - "USD_per_Gbit_offered", - "Watt_per_Gbit_offered", - "USD_per_Gbit_p999", - "Watt_per_Gbit_p999", - ] - delta_keys = ["lat_SLO_1_2_drop", "lat_best_path_drop", "lat_WES_delta"] - passthrough_keys = ["lat_TD99"] - out: Dict[str, Dict[int, Dict[str, float]]] = {} - for scen, seed_map in full.items(): - if scen == base_name: - continue - common = set(seed_map.keys()) & set(base.keys()) - if not common: - continue - per_seed: Dict[int, Dict[str, float]] = {} - for s in common: - sm = seed_map.get(s, {}) - bm = base.get(s, {}) - rec: Dict[str, float] = {} - for k in ratio_keys: - a = ( - float(sm.get(k, float("nan"))) - if isinstance(sm.get(k), (int, float)) - else float("nan") - ) - b = ( - float(bm.get(k, float("nan"))) - if isinstance(bm.get(k), (int, float)) - else float("nan") - ) - rec[f"{k}_r"] = ( - (a / b) - if (np.isfinite(a) and np.isfinite(b) and b != 0.0) - else float("nan") - ) - for k in delta_keys: - a = ( - float(sm.get(k, float("nan"))) - if isinstance(sm.get(k), (int, float)) - else float("nan") - ) - b = ( - float(bm.get(k, float("nan"))) - if isinstance(bm.get(k), (int, float)) - else float("nan") - ) - rec[f"{k}_d"] = ( - (a - b) if (np.isfinite(a) and np.isfinite(b)) else float("nan") - ) - for k in passthrough_keys: - v = sm.get(k) - rec[k] = float(v) if isinstance(v, (int, float)) else float("nan") - per_seed[int(s)] = rec - if per_seed: - out[scen] = per_seed - return out - - -def _build_normalized_insights(analysis_root: Path) -> List[Dict[str, Any]]: - """Paired tests on baseline-normalized metrics per seed (scenario vs 1.0 for ratios; vs 0.0 for deltas).""" - data = _collect_normalized_per_seed(analysis_root) - if not data: - return [] - # Define metric groups - ratio_metrics = [ - "node_count_r", - "link_count_r", - "bw_p90_pct_r", - "bw_p95_pct_r", - "bw_p99_pct_r", - "bw_p999_pct_r", - "auc_norm_r", - "lat_fail_p99_r", - "USD_per_Gbit_offered_r", - "Watt_per_Gbit_offered_r", - "USD_per_Gbit_p999_r", - "Watt_per_Gbit_p999_r", - ] - delta_metrics = [ - "lat_SLO_1_2_drop_d", - "lat_best_path_drop_d", - "lat_WES_delta_d", - ] - results: List[Dict[str, Any]] = [] - for scen, seed_map in data.items(): - rec: Dict[str, Any] = {"scenario": scen} - # Ratios vs 1.0 - for m in ratio_metrics: - vals = [v.get(m, float("nan")) for v in seed_map.values()] - arr = np.asarray(vals, dtype=float) - arr = arr[np.isfinite(arr)] - if arr.size >= 3: - # t-test vs 1.0 - t_res = _paired_t_with_ci(arr, np.ones_like(arr)) - rec[f"{m}__n"] = int(arr.size) - rec[f"{m}__mean"] = float(np.mean(arr)) - rec[f"{m}__p"] = float(t_res.get("p", float("nan"))) - # Deltas vs 0.0 - for m in delta_metrics: - vals = [v.get(m, float("nan")) for v in seed_map.values()] - arr = np.asarray(vals, dtype=float) - arr = arr[np.isfinite(arr)] - if arr.size >= 3: - # t-test vs 0.0 - t_res = _paired_t_with_ci(arr, np.zeros_like(arr)) - rec[f"{m}__n"] = int(arr.size) - rec[f"{m}__mean"] = float(np.mean(arr)) - rec[f"{m}__p"] = float(t_res.get("p", float("nan"))) - results.append(rec) - return results - - -def _print_normalized_insights(analysis_root: Path, alpha: float = 0.05) -> None: - """Print baseline-normalized comparisons (per-seed means with n and p).""" - res = _build_normalized_insights(analysis_root) - if not res: - print("\n(no baseline-normalized insights available)") - return - df = pd.DataFrame(res).set_index("scenario") - - # Compute Holm-adjusted p-values per metric base across scenarios - def _holm_adjust_1d(p_series: pd.Series) -> pd.Series: - pairs = sorted( - [(idx, float(p)) for idx, p in p_series.items() if np.isfinite(float(p))], - key=lambda x: x[1], - ) - m = len(pairs) - out: Dict[str, float] = {} - prev = 0.0 - for i, (sc, p) in enumerate(pairs, start=1): - adj = min(1.0, (m - i + 1) * p) - adj = max(prev, adj) - out[str(sc)] = float(adj) - prev = 0.0 if math.isnan(adj) else adj - return pd.Series({k: out.get(str(k), float("nan")) for k in p_series.index}) - - # Reformat into a compact 2-column per-metric display (mean, n, adj_p) - display_cols: List[str] = [] - header_map: Dict[str, str] = {} - for c in sorted(df.columns): - if c.endswith("__mean"): - base = c[:-6] - # n/p columns inferred from base - header = base - header_map[base] = header - display_cols.append(base) - out_df = pd.DataFrame(index=df.index) - # Precompute adjusted p per base - p_adj_map: Dict[str, pd.Series] = {} - for base in display_cols: - p_col = f"{base}__p" - if p_col in df.columns: - p_adj_map[base] = _holm_adjust_1d(pd.to_numeric(df[p_col], errors="coerce")) - for base in display_cols: - mean = df.get(f"{base}__mean") - n = df.get(f"{base}__n") - p = p_adj_map.get(base, df.get(f"{base}__p")) - vals: List[str] = [] - for i in range(df.shape[0]): - m_val = float(mean.iloc[i]) if mean is not None else float("nan") - n_raw = n.iloc[i] if n is not None else None - nval = int(n_raw) if n_raw is not None and pd.notna(n_raw) else 0 - pval = float(p.iloc[i]) if p is not None else float("nan") - if not math.isfinite(m_val): - vals.append("–") - else: - vals.append(f"{m_val:.3f} (n={nval}, adj_p={pval:.3f})") - out_df[base] = vals - print_pretty_table( - out_df, - title="All baseline-normalized comparisons vs target (mean, n, adj_p)", - ) - - -def _print_project_insights(analysis_root: Path, alpha: float = 0.05) -> None: - insights = _build_insights(analysis_root) - if not insights: - print("\n(no project insights available)") - return - - # Filter significant results by Holm-adjusted p < alpha - sig = [ - r - for r in insights - if (math.isfinite(r.get("p_adj", float("nan"))) and r["p_adj"] < alpha) - ] - if not sig: - print( - "\nNo statistically significant paired differences at Holm-adjusted alpha = 0.05." - ) - return - - # Group by metric for organized printing - header = "Project insights (Holm-adjusted p < 0.05)" - # Sort for stable output - metric_order = { - "alpha_star": 0, - "bac_p999": 1, - "latency_p99": 2, - "USD_per_Gbit_p999": 4, - "Watt_per_Gbit_p999": 5, - "capex_total": 6, - } - - def _metric_sort_key(x: Dict[str, Any]) -> Tuple[int, str, str]: - return ( - metric_order.get(x.get("metric", "zzz"), 999), - x.get("scen_a", ""), - x.get("scen_b", ""), - ) - - ordered = list(sorted(sig, key=_metric_sort_key)) - if Console and RichTable: - console = Console() - table = RichTable(title=header) - table.add_column("Metric") - table.add_column("A") - table.add_column("B") - table.add_column("n", justify="right") - table.add_column("Δ mean", justify="right") - table.add_column("95% CI", justify="right") - table.add_column("t", justify="right") - table.add_column("p(adj)", justify="right") - table.add_column("det", justify="center") - - def _label(m: str) -> str: - return { - "alpha_star": "alpha*", - "bac_p999": "BAC p99.9", - "latency_p99": "Latency p99", - "USD_per_Gbit_p999": "USD/Gbps p99.9", - "Watt_per_Gbit_p999": "Watt/Gbps p99.9", - "capex_total": "CapEx (USD)", - }.get(m, m) - - for r in ordered: - metric = r["metric"] - scen_a = r["scen_a"] - scen_b = r["scen_b"] - n = int(r.get("n", 0)) - mean_diff = _fmt(r.get("mean_diff", float("nan"))) - ci_low = _fmt(r.get("ci_low", float("nan"))) - ci_high = _fmt(r.get("ci_high", float("nan"))) - t_stat = r.get("t_stat", float("nan")) - p_adj = r.get("p_adj", float("nan")) - det = "✓" if r.get("deterministic") else "" - table.add_row( - _label(metric), - scen_a, - scen_b, - str(n), - mean_diff, - f"[{ci_low}, {ci_high}]", - (f"{t_stat:.3f}" if math.isfinite(float(t_stat)) else "–"), - (f"{p_adj:.4f}" if math.isfinite(float(p_adj)) else "–"), - det, - ) - console.print(table) - else: - # Keep the plain-text table on one line per scenario. - def _label(m: str) -> str: - return { - "alpha_star": "alpha*", - "bac_p999": "BAC p99.9", - "latency_p99": "Latency p99", - "USD_per_Gbit_p999": "USD/Gbps p99.9", - "Watt_per_Gbit_p999": "Watt/Gbps p99.9", - "capex_total": "CapEx (USD)", - }.get(m, m) - - headers = [ - "Metric", - "A", - "B", - "n", - "Δ mean", - "95% CI", - "t", - "p(adj)", - "det", - ] - rows = [] - for r in ordered: - t_stat = r.get("t_stat", float("nan")) - p_adj = r.get("p_adj", float("nan")) - rows.append( - [ - _label(r["metric"]), - r["scen_a"], - r["scen_b"], - f"{int(r.get('n', 0))}", - _fmt(r.get("mean_diff", float("nan"))), - f"[{_fmt(r.get('ci_low', float('nan')))}, {_fmt(r.get('ci_high', float('nan')))}]", - (f"{t_stat:.3f}" if math.isfinite(float(t_stat)) else "–"), - (f"{p_adj:.4f}" if math.isfinite(float(p_adj)) else "–"), - ("✓" if r.get("deterministic") else ""), - ] - ) - - # Compute column widths - widths = [len(h) for h in headers] - for r in rows: - for i, cell in enumerate(r): - widths[i] = max(widths[i], len(str(cell))) - - print(f"\n{header}") - # Header - header_line = " ".join( - headers[i].ljust(widths[i]) - if i in (0, 1, 2, 8) - else headers[i].rjust(widths[i]) - for i in range(len(headers)) - ) - print(header_line) - print(" ".join(("-" * widths[i]) for i in range(len(widths)))) - # Rows - for r in rows: - line = " ".join( - str(r[i]).ljust(widths[i]) - if i in (0, 1, 2, 8) - else str(r[i]).rjust(widths[i]) - for i in range(len(widths)) - ) - print(line) diff --git a/netlab/artifacts.py b/netlab/artifacts.py new file mode 100644 index 0000000..3bc36f5 --- /dev/null +++ b/netlab/artifacts.py @@ -0,0 +1,109 @@ +"""Atomic artifact publication and content-based provenance.""" + +from __future__ import annotations + +import hashlib +import json +from contextlib import contextmanager +from importlib.metadata import distribution +from importlib.util import find_spec +from pathlib import Path +from tempfile import NamedTemporaryFile +from typing import Any, Iterator + + +@contextmanager +def atomic_path(path: Path) -> Iterator[Path]: + """Publish a same-filesystem temporary file only after a successful write.""" + path.parent.mkdir(parents=True, exist_ok=True) + with NamedTemporaryFile( + dir=path.parent, prefix=f".{path.name}.", delete=False + ) as f: + temporary = Path(f.name) + try: + yield temporary + temporary.replace(path) + finally: + temporary.unlink(missing_ok=True) + + +def write_text_atomic(path: Path, content: str) -> None: + with atomic_path(path) as temporary: + temporary.write_text(content, encoding="utf-8") + + +def write_json_atomic(path: Path, data: Any) -> None: + write_text_atomic(path, json.dumps(data, indent=2) + "\n") + + +def write_csv_atomic(path: Path, data: Any) -> None: + import pandas as pd + + table = data if isinstance(data, (pd.DataFrame, pd.Series)) else pd.DataFrame(data) + with atomic_path(path) as temporary: + table.to_csv(temporary) + + +def sha256_file(path: Path) -> str: + with path.open("rb") as stream: + return hashlib.file_digest(stream, "sha256").hexdigest() + + +def fingerprint(data: Any) -> str: + return hashlib.sha256(json.dumps(data, sort_keys=True).encode()).hexdigest() + + +def package_versions() -> dict[str, dict[str, Any]]: + """Identify installed revisions, including current editable package contents.""" + packages = {} + for name in ("netlab", "topogen", "ngraph", "netgraph-core"): + package = distribution(name) + record: dict[str, Any] = {"version": package.version} + direct_url = package.read_text("direct_url.json") + if direct_url: + record["source"] = json.loads(direct_url) + if record["source"].get("dir_info", {}).get("editable"): + spec = find_spec(name.replace("-", "_")) + if spec is None or not spec.submodule_search_locations: + raise ValueError(f"Cannot fingerprint editable package {name}") + files = {} + for location in spec.submodule_search_locations: + root = Path(location) + for path in sorted(root.rglob("*")): + if path.is_file() and path.suffix in {".py", ".so", ".pyd"}: + files[str(path.relative_to(root))] = sha256_file(path) + record["content_sha256"] = fingerprint(files) + packages[name] = record + return packages + + +def ensure_run_identity(path: Path, inputs: Any) -> None: + """Bind a resumable output directory to exactly one set of inputs.""" + key = fingerprint(inputs) + if path.exists(): + previous = json.loads(path.read_text(encoding="utf-8")) + if previous["key"] != key: + raise ValueError( + f"Research inputs or dependencies changed: {path}. " + "Use a new output directory for this experiment." + ) + else: + write_json_atomic(path, {"key": key, "inputs": inputs}) + + +def cache_path(artifact: Path) -> Path: + return artifact.with_suffix(artifact.suffix + ".cache.json") + + +def cache_matches(artifact: Path, key: str) -> bool: + try: + manifest = json.loads(cache_path(artifact).read_text(encoding="utf-8")) + return manifest["key"] == key and manifest["sha256"] == sha256_file(artifact) + except (OSError, ValueError, KeyError, TypeError): + return False + + +def record_cache(artifact: Path, key: str) -> None: + write_json_atomic( + cache_path(artifact), {"key": key, "sha256": sha256_file(artifact)} + ) diff --git a/netlab/autoresearch/__init__.py b/netlab/autoresearch/__init__.py index 2b5ce30..ab21ed9 100644 --- a/netlab/autoresearch/__init__.py +++ b/netlab/autoresearch/__init__.py @@ -1 +1 @@ -# Autoresearch framework — autonomous network topology research. +# LLM-assisted scenario generation and parameter searches. diff --git a/netlab/autoresearch/analysis_loop.py b/netlab/autoresearch/analysis_loop.py index ba75e87..a39c333 100644 --- a/netlab/autoresearch/analysis_loop.py +++ b/netlab/autoresearch/analysis_loop.py @@ -86,10 +86,14 @@ def run_analysis_loop( backend: LLM backend for interpretation. max_iterations: Maximum attempts to obtain a nonempty interpretation. """ + if max_iterations < 1: + raise ValueError("max_iterations must be positive") metrics_report = build_metrics_report(results) interpretation = "" - for _attempt in range(max_iterations): + attempts_used = 0 + for _attempt in range(1, max_iterations + 1): + attempts_used += 1 prompt = _ANALYSIS_PROMPT.format( hypothesis=hypothesis, metrics_report=metrics_report, @@ -125,6 +129,6 @@ def run_analysis_loop( metrics_report=metrics_report, interpretation=interpretation, next_hypothesis=next_hypothesis, - iterations_used=1, - complete=True, + iterations_used=attempts_used, + complete=bool(next_hypothesis), ) diff --git a/netlab/autoresearch/backend.py b/netlab/autoresearch/backend.py index 9f4bde3..94db53c 100644 --- a/netlab/autoresearch/backend.py +++ b/netlab/autoresearch/backend.py @@ -1,12 +1,4 @@ -"""LLM backend abstractions for autoresearch. - -Provides: -- LLMBackend: ABC for single-shot text generation -- MockBackend: scripted responses for testing -- ClaudeCLIBackend: subprocess wrapper around `claude -p` -- CodexCLIBackend: subprocess wrapper around `codex exec` -- OpenAICompatibleBackend: HTTP client for OpenAI-compatible APIs -""" +"""LLM backends for scripted responses, CLI tools, and HTTP APIs.""" from __future__ import annotations @@ -29,11 +21,11 @@ class LLMBackend(ABC): - """Abstract base class for LLM backends.""" + """Interface for one text-generation request.""" @abstractmethod def generate(self, prompt: str, system: str = "") -> str: - """Single-shot text generation. Returns response text. Raises on failure.""" + """Return generated text; raise on failure.""" class MockBackend(LLMBackend): @@ -60,9 +52,11 @@ def __init__( self, model: str = DEFAULT_CLAUDE_MODEL, command: str | None = None, + timeout: float = 120, ) -> None: self.model = model self.command = command + self.timeout = timeout def generate(self, prompt: str, system: str = "") -> str: # Claude Code headless mode uses -p/--print with the prompt as its value. @@ -83,7 +77,10 @@ def generate(self, prompt: str, system: str = "") -> str: capture_output=True, text=True, check=False, + timeout=self.timeout, ) + except subprocess.TimeoutExpired as exc: + raise RuntimeError(f"Claude CLI timed out after {self.timeout}s") from exc except FileNotFoundError as exc: raise RuntimeError( f"Claude CLI executable not found: {executable}" @@ -96,20 +93,20 @@ def generate(self, prompt: str, system: str = "") -> str: class CodexCLIBackend(LLMBackend): - """Backend that calls the ``codex`` CLI tool via subprocess. + """Generate text with ``codex exec`` in ephemeral, read-only mode. - Uses ``codex exec`` in ephemeral, read-only sandbox mode to perform - single-shot text generation. The last agent message is captured via - the ``-o`` (output-last-message) flag. + Read the response from the file written by ``--output-last-message``. """ def __init__( self, model: str = DEFAULT_CODEX_MODEL, command: str | None = None, + timeout: float = 120, ) -> None: self.model = model self.command = command + self.timeout = timeout def generate(self, prompt: str, system: str = "") -> str: full_prompt = f"{system}\n\n{prompt}" if system else prompt @@ -143,7 +140,12 @@ def generate(self, prompt: str, system: str = "") -> str: capture_output=True, text=True, check=False, + timeout=self.timeout, ) + except subprocess.TimeoutExpired as exc: + raise RuntimeError( + f"Codex CLI timed out after {self.timeout}s" + ) from exc except FileNotFoundError as exc: raise RuntimeError( f"Codex CLI executable not found: {executable}" @@ -159,13 +161,9 @@ def generate(self, prompt: str, system: str = "") -> str: class OpenAICompatibleBackend(LLMBackend): - """Backend that calls an OpenAI-compatible HTTP API. - - Uses urllib.request (no third-party deps). Implements retry with - exponential backoff for 429 and 5xx errors. - """ + """Call an OpenAI-compatible HTTP API, retrying 429 and server errors.""" - # Retry parameters — overridable in tests to keep wall time short. + # Tests can override retry limits and delay. max_retries: int = 3 base_delay: float = 2.0 # seconds @@ -176,7 +174,6 @@ def __init__( api_key: str = "", timeout: int = 120, ) -> None: - # Strip trailing slash for consistent URL construction self.base_url = base_url.rstrip("/") self.model = model self.api_key = api_key @@ -206,17 +203,23 @@ def generate(self, prompt: str, system: str = "") -> str: try: with urllib.request.urlopen(req, timeout=self.timeout) as resp: data = json.loads(resp.read().decode()) - return data["choices"][0]["message"]["content"] + content = data["choices"][0]["message"]["content"] + if not isinstance(content, str): + raise RuntimeError("Backend response must contain text content") + return content except urllib.error.HTTPError as exc: status = exc.code if status == 429: - # Use Retry-After header when present retry_after = ( exc.headers.get("Retry-After") if exc.headers else None ) - if retry_after is not None: - delay = float(retry_after) - else: + try: + delay = ( + min(60.0, max(0.0, float(retry_after))) + if retry_after is not None + else self.base_delay * (2**attempt) + ) + except ValueError: delay = self.base_delay * (2**attempt) last_exc = exc if attempt < self.max_retries: diff --git a/netlab/autoresearch/cli.py b/netlab/autoresearch/cli.py index f087866..3704f3a 100644 --- a/netlab/autoresearch/cli.py +++ b/netlab/autoresearch/cli.py @@ -1,10 +1,4 @@ -"""CLI handlers for the ``netlab autoresearch`` subcommand. - -Provides: -- autoresearch_init: scaffold a new autoresearch project directory. -- autoresearch_run: load project, construct runner, execute experiment loop. -- _build_backend: factory for LLM backend from CLI args. -""" +"""Create research projects and run them from the CLI.""" from __future__ import annotations @@ -29,13 +23,11 @@ MockBackend, OpenAICompatibleBackend, ) +from netlab.autoresearch.hypothesis import validate_template_workflow from netlab.autoresearch.runner import AutoResearchRunner, RunConfig logger = logging.getLogger(__name__) -# --------------------------------------------------------------------------- -# Default templates -# --------------------------------------------------------------------------- _DEFAULT_PROGRAM_MD = textwrap.dedent("""\ You are an autonomous network researcher. Your goal is to find parameter @@ -60,11 +52,9 @@ def _build_default_template(base_scenario_path: Path) -> str: - """Build a minimal hypothesis_template.yml. + """Define parameters for the base scenario's ``${{...}}`` placeholders. - If the base scenario contains ${{...}} placeholders, create params - matching those names with reasonable defaults. Otherwise, create a - single ``link_capacity`` placeholder template. + Use ``link_capacity`` when the scenario has no placeholders. """ import re @@ -82,7 +72,6 @@ def _build_default_template(base_scenario_path: Path) -> str: } return yaml.dump({"params": params}, default_flow_style=False, sort_keys=False) - # No placeholders found — provide a minimal default return textwrap.dedent("""\ params: link_capacity: @@ -93,11 +82,6 @@ def _build_default_template(base_scenario_path: Path) -> str: """) -# --------------------------------------------------------------------------- -# CLI handlers -# --------------------------------------------------------------------------- - - def _build_backend(args: argparse.Namespace) -> LLMBackend: """Construct an LLM backend from CLI arguments.""" backend_name: str = args.backend @@ -109,7 +93,6 @@ def _build_backend(args: argparse.Namespace) -> LLMBackend: model = _resolve_model_arg( args, generic_attr="model", - specific_attr="claude_model", env_var="CLAUDE_MODEL", default=DEFAULT_CLAUDE_MODEL, ) @@ -118,7 +101,6 @@ def _build_backend(args: argparse.Namespace) -> LLMBackend: model = _resolve_model_arg( args, generic_attr="model", - specific_attr="codex_model", env_var="CODEX_MODEL", default=DEFAULT_CODEX_MODEL, ) @@ -130,7 +112,6 @@ def _build_backend(args: argparse.Namespace) -> LLMBackend: model = _resolve_model_arg( args, generic_attr="model", - specific_attr="openai_model", env_var="OPENAI_MODEL", default=DEFAULT_OPENAI_MODEL, ) @@ -149,30 +130,19 @@ def _resolve_model_arg( args: argparse.Namespace, *, generic_attr: str, - specific_attr: str, env_var: str, default: str, ) -> str: - """Resolve model from generic CLI flag, backend-specific flag, env, then default.""" + """Choose the model from the CLI flag, then the environment, then the default.""" generic_value = getattr(args, generic_attr, None) if generic_value: return generic_value - specific_value = getattr(args, specific_attr, None) - if specific_value: - return specific_value - return os.environ.get(env_var, default) def _build_mock_backend(args: argparse.Namespace) -> MockBackend: - """Build a MockBackend that generates plausible YAML responses. - - Reads the hypothesis template from the project directory to produce - responses whose params match the template definitions. Generates - ``max_experiments`` scripted responses using default values with - small perturbations. - """ + """Generate scripted responses from template defaults with small perturbations.""" project_dir = Path(args.project_dir) template_path = project_dir / "hypothesis_template.yml" @@ -216,7 +186,7 @@ def _build_mock_backend(args: argparse.Namespace) -> MockBackend: step = spec.get("step", 1) val = rng.randrange(int(lo), int(hi) + 1, int(step)) param_lines.append(f" {name}: {val}") - else: # float + else: lo, hi = spec.get("range", [0.0, 10.0]) val = round(rng.uniform(float(lo), float(hi)), 4) param_lines.append(f" {name}: {val}") @@ -244,52 +214,22 @@ def autoresearch_init(args: argparse.Namespace) -> None: print(f"Base scenario does not exist: {base_scenario}", file=sys.stderr) sys.exit(1) - # Validate the base scenario has a MaximumSupportedDemand workflow step try: - scenario_text = base_scenario.read_text(encoding="utf-8") - scenario_data = yaml.safe_load(scenario_text) - except Exception as exc: - print(f"Failed to read base scenario: {exc}", file=sys.stderr) - sys.exit(1) - - workflow = scenario_data.get("workflow", []) - has_msd = False - if isinstance(workflow, list): - for step in workflow: - if isinstance(step, dict) and step.get("type") == "MaximumSupportedDemand": - has_msd = True - break - elif isinstance(workflow, dict): - for _name, step_data in workflow.items(): - if ( - isinstance(step_data, dict) - and step_data.get("type") == "MaximumSupportedDemand" - ): - has_msd = True - break - - if not has_msd: - print( - "Base scenario must have a MaximumSupportedDemand workflow step. " - "No step with type 'MaximumSupportedDemand' found in workflow.", - file=sys.stderr, - ) + validate_template_workflow(base_scenario.read_text(encoding="utf-8")) + except (ValueError, OSError, yaml.YAMLError) as exc: + print(str(exc), file=sys.stderr) sys.exit(1) - # Create project directory output_dir.mkdir(parents=True, exist_ok=True) - # Copy base scenario shutil.copy2(base_scenario, output_dir / "base_scenario.yml") - # Write default files (output_dir / "program.md").write_text(_DEFAULT_PROGRAM_MD, encoding="utf-8") (output_dir / "objective.yml").write_text(_DEFAULT_OBJECTIVE_YAML, encoding="utf-8") (output_dir / "hypothesis_template.yml").write_text( _build_default_template(base_scenario), encoding="utf-8" ) - # Create empty directories (output_dir / "memory").mkdir(exist_ok=True) (output_dir / "results").mkdir(exist_ok=True) @@ -308,7 +248,6 @@ def autoresearch_run(args: argparse.Namespace) -> None: print(f"Not a directory: {project_dir}", file=sys.stderr) sys.exit(1) - # Determine generation mode from config.yml (if present) config_yml_path = project_dir / "config.yml" generation_mode = "template" if config_yml_path.exists(): @@ -316,7 +255,6 @@ def autoresearch_run(args: argparse.Namespace) -> None: project_config = yaml.safe_load(f) or {} generation_mode = project_config.get("generation_mode", "template") - # Validate required files exist required = [ "program.md", "objective.yml", @@ -334,7 +272,6 @@ def autoresearch_run(args: argparse.Namespace) -> None: config = RunConfig( project_dir=project_dir, backend=backend, - ngraph_bin=getattr(args, "ngraph_bin", None), max_experiments=args.max_experiments, timeout_s=args.timeout, seed=args.seed, diff --git a/netlab/autoresearch/dcbb_config.py b/netlab/autoresearch/dcbb_config.py new file mode 100644 index 0000000..0d891f4 --- /dev/null +++ b/netlab/autoresearch/dcbb_config.py @@ -0,0 +1,272 @@ +"""DC-BB dimensions, mesh layouts and validation.""" + +from __future__ import annotations + +import math +from dataclasses import dataclass, fields + + +@dataclass +class DcBbScenarioConfig: + """Configuration for DC-BB scenario generation.""" + + # ABC1 (DCType1) parameters + abc1_hgrids: int = 16 + abc1_fadu_per_hgrid: int = 36 + abc1_planes: int = 8 + abc1_ssw_per_plane: int = 36 + abc1_pods_per_building: int = 96 + abc1_buildings: int = 5 + abc1_rsw_per_pod: int = 48 + + # XYZ1 (DCTypeF) parameters + xyz1_xsw_planes: int = 24 + xyz1_xsw_per_plane: int = 64 + xyz1_ssw_per_megapod: int = 24 + xyz1_fsw_per_megapod: int = 32 + xyz1_megapods: int = 72 + + # Backbone parameters + bb_planes: int = 64 + bb_devices_per_plane: int = 4 + + # Link capacities + dc_bb_link_capacity: float = 400.0 + bb_bb_link_capacity: float = 800.0 + + # DC-BB interconnect parameters (what autoresearch varies) + g_abc1: int = 64 + g_xyz1: int = 64 + layout_abc1: tuple = (16, 4, 16, 4) + layout_xyz1: tuple = (16, 4, 16, 4) + + # Workflow parameters + seed: int = 42 + msd_resolution: float = 0.01 + failure_iterations: int = 200 + + +def _compute_mesh_groups( + dc_rows: int, + dc_cols: int, + bb_rows: int, + bb_cols: int, + g: int, + layout: tuple[int, int, int, int], +) -> list[tuple[list[tuple[int, int]], list[tuple[int, int]]]]: + """Compute mesh group assignments for DC and BB device grids. + + Partitions a dc_rows x dc_cols grid of DC devices and a + bb_rows x bb_cols grid of BB devices into G groups. Each group + is a contiguous rectangular block in both the DC and BB grids. + """ + gr_dc, gc_dc, gr_bb, gc_bb = layout + + if gr_dc * gc_dc != g: + raise ValueError( + f"DC layout {gr_dc}x{gc_dc}={gr_dc * gc_dc} does not match G={g}" + ) + if gr_bb * gc_bb != g: + raise ValueError( + f"BB layout {gr_bb}x{gc_bb}={gr_bb * gc_bb} does not match G={g}" + ) + if dc_rows % gr_dc != 0: + raise ValueError(f"dc_rows={dc_rows} not divisible by gr_dc={gr_dc}") + if dc_cols % gc_dc != 0: + raise ValueError(f"dc_cols={dc_cols} not divisible by gc_dc={gc_dc}") + if bb_rows % gr_bb != 0: + raise ValueError(f"bb_rows={bb_rows} not divisible by gr_bb={gr_bb}") + if bb_cols % gc_bb != 0: + raise ValueError(f"bb_cols={bb_cols} not divisible by gc_bb={gc_bb}") + + dc_block_rows = dc_rows // gr_dc + dc_block_cols = dc_cols // gc_dc + bb_block_rows = bb_rows // gr_bb + bb_block_cols = bb_cols // gc_bb + + groups: list[tuple[list[tuple[int, int]], list[tuple[int, int]]]] = [] + for group_id in range(g): + gi = group_id // gc_dc + gj = group_id % gc_dc + dc_devs: list[tuple[int, int]] = [] + for r in range(gi * dc_block_rows, (gi + 1) * dc_block_rows): + for c in range(gj * dc_block_cols, (gj + 1) * dc_block_cols): + dc_devs.append((r, c)) + + bi = group_id // gc_bb + bj = group_id % gc_bb + bb_devs: list[tuple[int, int]] = [] + for r in range(bi * bb_block_rows, (bi + 1) * bb_block_rows): + for c in range(bj * bb_block_cols, (bj + 1) * bb_block_cols): + bb_devs.append((r, c)) + + groups.append((dc_devs, bb_devs)) + + return groups + + +def get_viable_g_values( + dc_total: int, bb_total: int, dc_ports: int, bb_ports: int +) -> list[int]: + """Return sorted list of viable G values given device counts and port limits.""" + g_common = math.gcd(dc_total, bb_total) + viable: list[int] = [] + for candidate in _divisors(g_common): + k_dc = bb_total // candidate + k_bb = dc_total // candidate + if k_dc <= dc_ports and k_bb <= bb_ports: + viable.append(candidate) + return sorted(viable) + + +def _divisors(n: int) -> list[int]: + """Return all positive divisors of n in ascending order.""" + if n <= 0: + return [] + divs: list[int] = [] + for i in range(1, int(math.isqrt(n)) + 1): + if n % i == 0: + divs.append(i) + if i != n // i: + divs.append(n // i) + return sorted(divs) + + +def get_valid_layouts( + g: int, + dc_rows: int, + dc_cols: int, + bb_rows: int, + bb_cols: int, +) -> list[tuple[int, int, int, int]]: + """Return all valid (gr_dc, gc_dc, gr_bb, gc_bb) factorizations for G.""" + dc_facts = _factorizations(g, dc_rows, dc_cols) + bb_facts = _factorizations(g, bb_rows, bb_cols) + layouts: list[tuple[int, int, int, int]] = [] + for gr_dc, gc_dc in dc_facts: + for gr_bb, gc_bb in bb_facts: + layouts.append((gr_dc, gc_dc, gr_bb, gc_bb)) + return sorted(layouts) + + +def _factorizations(g: int, rows: int, cols: int) -> list[tuple[int, int]]: + """Return all (gr, gc) where gr*gc == g, rows%gr == 0, cols%gc == 0.""" + results: list[tuple[int, int]] = [] + for gr in _divisors(g): + gc = g // gr + if rows % gr == 0 and cols % gc == 0: + results.append((gr, gc)) + return results + + +def validate_layout( + g: int, + layout: tuple[int, int, int, int], + dc_rows: int, + dc_cols: int, + bb_rows: int, + bb_cols: int, +) -> bool: + """Check if a layout is valid for the given dimensions.""" + if len(layout) != 4 or any(type(v) is not int or v < 1 for v in layout): + return False + gr_dc, gc_dc, gr_bb, gc_bb = layout + return ( + gr_dc * gc_dc == g + and gr_bb * gc_bb == g + and dc_rows % gr_dc == 0 + and dc_cols % gc_dc == 0 + and bb_rows % gr_bb == 0 + and bb_cols % gc_bb == 0 + ) + + +def validate_config(config: DcBbScenarioConfig) -> list[str]: + """Validate a DcBbScenarioConfig for consistency and feasibility.""" + errors: list[str] = [] + for field in fields(config): + value = getattr(config, field.name) + if ( + field.type == "int" + and field.name not in {"seed", "failure_iterations"} + and (type(value) is not int or value < 1) + ): + errors.append(f"{field.name} must be a positive integer") + if field.type == "float" and ( + not isinstance(value, (int, float)) + or not math.isfinite(value) + or value <= 0 + ): + errors.append(f"{field.name} must be positive and finite") + if type(config.seed) is not int: + errors.append("seed must be an integer") + if type(config.failure_iterations) is not int or config.failure_iterations < 0: + errors.append("failure_iterations must be a nonnegative integer") + if errors: + return errors + if config.xyz1_ssw_per_megapod != config.xyz1_xsw_planes: + errors.append("xyz1_ssw_per_megapod must equal xyz1_xsw_planes") + if config.xyz1_fsw_per_megapod % 4: + errors.append("xyz1_fsw_per_megapod must be divisible by four rows") + if config.bb_planes % 4: + errors.append("bb_planes must be divisible by four planes per failure group") + bb_total = config.bb_planes * config.bb_devices_per_plane + + abc1_dc_total = config.abc1_hgrids * config.abc1_fadu_per_hgrid + viable_g_abc1 = get_viable_g_values( + abc1_dc_total, bb_total, 16, config.abc1_fadu_per_hgrid + ) + if config.g_abc1 not in viable_g_abc1: + errors.append( + f"g_abc1={config.g_abc1} is not viable; viable values: {viable_g_abc1}" + ) + + xyz1_dc_total = config.xyz1_xsw_per_plane * config.xyz1_xsw_planes + viable_g_xyz1 = get_viable_g_values( + xyz1_dc_total, bb_total, 4, config.xyz1_xsw_planes + ) + if config.g_xyz1 not in viable_g_xyz1: + errors.append( + f"g_xyz1={config.g_xyz1} is not viable; viable values: {viable_g_xyz1}" + ) + + if not validate_layout( + config.g_abc1, + config.layout_abc1, + config.abc1_hgrids, + config.abc1_fadu_per_hgrid, + config.bb_planes, + config.bb_devices_per_plane, + ): + errors.append( + f"layout_abc1={config.layout_abc1} is not valid for g_abc1={config.g_abc1}, " + f"dc={config.abc1_hgrids}x{config.abc1_fadu_per_hgrid}, " + f"bb={config.bb_planes}x{config.bb_devices_per_plane}" + ) + + if not validate_layout( + config.g_xyz1, + config.layout_xyz1, + config.xyz1_xsw_per_plane, + config.xyz1_xsw_planes, + config.bb_planes, + config.bb_devices_per_plane, + ): + errors.append( + f"layout_xyz1={config.layout_xyz1} is not valid for g_xyz1={config.g_xyz1}, " + f"dc={config.xyz1_xsw_per_plane}x{config.xyz1_xsw_planes}, " + f"bb={config.bb_planes}x{config.bb_devices_per_plane}" + ) + + k_fadu = bb_total // config.g_abc1 if config.g_abc1 > 0 else bb_total + if k_fadu > 16: + errors.append( + f"Port constraint violated: k_fadu={k_fadu} > 16 (G_abc1={config.g_abc1})" + ) + k_xsw = bb_total // config.g_xyz1 if config.g_xyz1 > 0 else bb_total + if k_xsw > 4: + errors.append( + f"Port constraint violated: k_xsw={k_xsw} > 4 (G_xyz1={config.g_xyz1})" + ) + + return errors diff --git a/netlab/autoresearch/dcbb_failures.py b/netlab/autoresearch/dcbb_failures.py new file mode 100644 index 0000000..c42fa06 --- /dev/null +++ b/netlab/autoresearch/dcbb_failures.py @@ -0,0 +1,274 @@ +"""DC-BB failure domains, membership and workflow policies.""" + +from __future__ import annotations + +from .dcbb_config import DcBbScenarioConfig + + +def _build_link_rules(config: DcBbScenarioConfig) -> list[dict]: + """Build link_rules for risk group assignment on DC-BB and cross-site links.""" + rules: list[dict] = [] + ppg = 4 + + # DC-BB risk groups + for side in ["abc1", "xyz1"]: + dc_prefix = "abc1/fadu/" if side == "abc1" else "xyz1/xsw/" + for pl in range(1, config.bb_planes + 1): + pg = (pl - 1) // ppg + 1 + for dv in range(1, config.bb_devices_per_plane + 1): + rules.append( + { + "source": dc_prefix, + "target": f"bb/{side}/.*/pl{pl}/dv{dv}$", + "risk_groups": [ + f"plane_{pl}_site_{side}", + f"plane_group_{pg}", + f"pg_{pg}_idx_{dv}_{side}", + ], + } + ) + + # BB cross-site risk groups + for pl in range(1, config.bb_planes + 1): + pg = (pl - 1) // ppg + 1 + for da in range(1, config.bb_devices_per_plane + 1): + for dx in range(1, config.bb_devices_per_plane + 1): + for path_label in ["a", "b"]: + rules.append( + { + "source": f"bb/abc1/.*/pl{pl}/dv{da}$", + "target": f"bb/xyz1/.*/pl{pl}/dv{dx}$", + "link_match": { + "conditions": [ + {"attr": "path", "op": "==", "value": path_label} + ], + }, + "risk_groups": [ + f"path_{path_label}", + f"plane_{pl}_site_abc1", + f"plane_{pl}_site_xyz1", + f"plane_group_{pg}", + f"pg_{pg}_idx_{da}_abc1", + f"pg_{pg}_idx_{dx}_xyz1", + ], + } + ) + + return rules + + +def _build_risk_groups(config: DcBbScenarioConfig) -> list[dict]: + """Define long-haul path, plane, plane-group, and device-index risk groups.""" + groups: list[dict] = [] + + groups.append({"name": "path_a", "attrs": {"type": "long_haul_path"}}) + groups.append({"name": "path_b", "attrs": {"type": "long_haul_path"}}) + + for g in range(1, config.bb_planes // 4 + 1): + groups.append( + { + "name": f"plane_group_{g}", + "attrs": { + "type": "plane_group", + "planes": list(range((g - 1) * 4 + 1, g * 4 + 1)), + }, + } + ) + + for pl in range(1, config.bb_planes + 1): + for site in ["abc1", "xyz1"]: + groups.append( + { + "name": f"plane_{pl}_site_{site}", + "attrs": {"type": "plane_site", "plane": pl, "site": site}, + } + ) + + for g in range(1, config.bb_planes // 4 + 1): + for d in range(1, config.bb_devices_per_plane + 1): + for site in ["abc1", "xyz1"]: + groups.append( + { + "name": f"pg_{g}_idx_{d}_{site}", + "attrs": {"type": "device_index_across_planes"}, + } + ) + + return groups + + +# Condition shorthands +def _RG(typ: str) -> list[dict[str, str]]: + return [{"attr": "type", "op": "==", "value": typ}] + + +_BB = [{"attr": "role", "op": "==", "value": "bb"}] +_DCBB = [{"attr": "link_type", "op": "==", "value": "dc_bb"}] +_XSITE = [{"attr": "link_type", "op": "==", "value": "bb_cross_site"}] + +# Failure modes: (name, rule_dict) +# Three categories: +# 1. Correlated (risk-group-based) — shared infrastructure events +# 2. Fixed-count — choose N devices/groups per iteration +# 3. Availability-based — independent per-entity probability +_FAILURE_MODES = [ + ( + "lh_path", + { + "scope": "risk_group", + "mode": "choice", + "count": 1, + "match": {"conditions": _RG("long_haul_path")}, + }, + ), + ( + "plane_group", + { + "scope": "risk_group", + "mode": "choice", + "count": 1, + "match": {"conditions": _RG("plane_group")}, + }, + ), + ( + "plane_site", + { + "scope": "risk_group", + "mode": "choice", + "count": 1, + "match": {"conditions": _RG("plane_site")}, + }, + ), + ( + "dev_index", + { + "scope": "risk_group", + "mode": "choice", + "count": 1, + "match": {"conditions": _RG("device_index_across_planes")}, + }, + ), + ( + "2x_plane_site", + { + "scope": "risk_group", + "mode": "choice", + "count": 2, + "match": {"conditions": _RG("plane_site")}, + }, + ), + ( + "4x_plane_site", + { + "scope": "risk_group", + "mode": "choice", + "count": 4, + "match": {"conditions": _RG("plane_site")}, + }, + ), + ( + "2x_plane_group", + { + "scope": "risk_group", + "mode": "choice", + "count": 2, + "match": {"conditions": _RG("plane_group")}, + }, + ), + ( + "2x_dev_index", + { + "scope": "risk_group", + "mode": "choice", + "count": 2, + "match": {"conditions": _RG("device_index_across_planes")}, + }, + ), + ( + "1x_bb", + {"scope": "node", "mode": "choice", "count": 1, "match": {"conditions": _BB}}, + ), + ( + "2x_bb", + {"scope": "node", "mode": "choice", "count": 2, "match": {"conditions": _BB}}, + ), + ( + "4x_bb", + {"scope": "node", "mode": "choice", "count": 4, "match": {"conditions": _BB}}, + ), + ( + "8x_bb", + {"scope": "node", "mode": "choice", "count": 8, "match": {"conditions": _BB}}, + ), + ( + "bb_avail_2pct", + { + "scope": "node", + "mode": "random", + "probability": 0.02, + "match": {"conditions": _BB}, + }, + ), + ( + "bb_avail_5pct", + { + "scope": "node", + "mode": "random", + "probability": 0.05, + "match": {"conditions": _BB}, + }, + ), + ( + "bb_avail_10pct", + { + "scope": "node", + "mode": "random", + "probability": 0.10, + "match": {"conditions": _BB}, + }, + ), + ( + "dcbb_avail", + { + "scope": "link", + "mode": "random", + "probability": 0.01, + "match": {"conditions": _DCBB}, + }, + ), + ( + "xsite_avail", + { + "scope": "link", + "mode": "random", + "probability": 0.01, + "match": {"conditions": _XSITE}, + }, + ), +] + +FAILURE_MODE_NAMES = [name for name, _ in _FAILURE_MODES] + + +def _build_failure_policy(config: DcBbScenarioConfig) -> dict: + """Build failure policies: one per mode + one combined (equal weight). + + Each single-mode policy runs that failure type exclusively. + The combined policy samples all modes with equal probability. + """ + policies: dict = {} + + for name, rule in _FAILURE_MODES: + policies[f"fm_{name}"] = { + "modes": [{"weight": 1.0, "rules": [dict(rule)]}], + } + + w = 1.0 / len(_FAILURE_MODES) + policies["fm_combined"] = { + "attrs": { + "description": f"All {len(_FAILURE_MODES)} failure modes, equal weight" + }, + "modes": [{"weight": w, "rules": [dict(rule)]} for _, rule in _FAILURE_MODES], + } + + return policies diff --git a/netlab/autoresearch/experiment_log.py b/netlab/autoresearch/experiment_log.py index f270ca7..de283e7 100644 --- a/netlab/autoresearch/experiment_log.py +++ b/netlab/autoresearch/experiment_log.py @@ -1,16 +1,17 @@ -"""Experiment log: JSONL-backed append-only log for autoresearch experiments.""" +"""Store experiment records in JSONL and format history for research prompts.""" from __future__ import annotations import json import logging -import os +import math import re -import tempfile from dataclasses import asdict, dataclass from pathlib import Path from typing import Any, Optional +from netlab.artifacts import write_text_atomic + logger = logging.getLogger(__name__) VALID_STATUSES = frozenset( @@ -22,7 +23,6 @@ "generation_error", "crash", "timeout_no_result", - "timeout_partial", "validation_error", "backend_error", "infeasible", @@ -45,63 +45,31 @@ class LogEntry: timestamp: str # ISO 8601 -def _entry_to_dict(entry: LogEntry) -> dict[str, Any]: - return asdict(entry) - - -def _dict_to_entry(d: dict[str, Any]) -> LogEntry: - return LogEntry( - exp_id=d["exp_id"], - params=d["params"], - params_hash=d["params_hash"], - status=d["status"], - metrics=d.get("metrics"), - objective_score=d.get("objective_score"), - error_detail=d.get("error_detail"), - execution_time_s=d.get("execution_time_s"), - seed=d["seed"], - timestamp=d["timestamp"], - ) - - class ExperimentLog: - """JSONL-backed experiment log with atomic appends and corrupt-tail recovery.""" + """Store experiment records with atomic writes; warn and skip invalid lines.""" - def __init__(self, project_dir: Path, direction: str = "maximize") -> None: + def __init__(self, project_dir: Path) -> None: self.project_dir = Path(project_dir) - if direction not in ("maximize", "minimize"): - raise ValueError( - f"direction must be 'maximize' or 'minimize', got {direction!r}" - ) - self.direction = direction self._log_path = self.project_dir / "experiment_log.jsonl" self._results_dir = self.project_dir / "results" def append(self, entry: LogEntry) -> None: """Append an entry by writing a temporary file and replacing the log.""" - existing = b"" - if self._log_path.exists(): - existing = self._log_path.read_bytes() - - line = json.dumps(_entry_to_dict(entry), separators=(",", ":")) + "\n" - new_content = existing + line.encode("utf-8") + if entry.status not in VALID_STATUSES: + raise ValueError(f"Unknown experiment status: {entry.status}") + self._append_record(asdict(entry)) - self._log_path.parent.mkdir(parents=True, exist_ok=True) - - # Write to temp file in the same directory (same filesystem), then rename. - fd, tmp_path = tempfile.mkstemp( - dir=self._log_path.parent, prefix=".experiment_log_", suffix=".tmp" + def _append_record(self, record: dict) -> None: + lines = ( + self._log_path.read_text().splitlines() if self._log_path.exists() else [] ) - try: - os.write(fd, new_content) - os.fsync(fd) - os.close(fd) - os.rename(tmp_path, self._log_path) - except BaseException: - os.close(fd) if not _fd_closed(fd) else None - if os.path.exists(tmp_path): - os.unlink(tmp_path) - raise + if lines: + try: + json.loads(lines[-1]) + except json.JSONDecodeError: + lines.pop() + lines.append(json.dumps(record, separators=(",", ":"))) + write_text_atomic(self._log_path, "\n".join(lines) + "\n") def load(self) -> list[LogEntry]: """Read entries, skipping metadata and warning about invalid JSON lines.""" @@ -118,10 +86,9 @@ def load(self) -> list[LogEntry]: continue try: d = json.loads(stripped) - # Skip metadata lines (e.g. config_hash records) if "_type" in d: continue - entries.append(_dict_to_entry(d)) + entries.append(LogEntry(**d)) except (json.JSONDecodeError, KeyError, TypeError) as exc: if i == len(lines) - 1: logger.warning( @@ -136,42 +103,46 @@ def load(self) -> list[LogEntry]: return entries def next_experiment_id(self) -> str: - """Derive from max(existing exp_NNN dirs in results/) + 1.""" - if not self._results_dir.exists(): - return "exp_001" - + """Allocate monotonically across logs and interrupted experiment directories.""" + names = [entry.exp_id for entry in self.load()] + if self._results_dir.exists(): + names.extend(p.name for p in self._results_dir.iterdir() if p.is_dir()) pattern = re.compile(r"^exp_(\d+)$") - max_num = 0 - for entry in self._results_dir.iterdir(): - if entry.is_dir(): - m = pattern.match(entry.name) - if m: - max_num = max(max_num, int(m.group(1))) - - return f"exp_{max_num + 1:03d}" + numbers = [ + int(match.group(1)) for name in names if (match := pattern.fullmatch(name)) + ] + return f"exp_{max(numbers, default=0) + 1:03d}" def best_entry(self) -> Optional[LogEntry]: - """Re-derive from all entries. None if no scoreable entries.""" + """Return the highest finite score among success/cached entries, or None.""" entries = self.load() - scoreable = [e for e in entries if e.objective_score is not None] + scoreable = [ + e + for e in entries + if e.status in {"success", "cached"} + and e.objective_score is not None + and math.isfinite(e.objective_score) + ] if not scoreable: return None - if self.direction == "maximize": - return max(scoreable, key=lambda e: e.objective_score) # type: ignore[arg-type] - else: - return min(scoreable, key=lambda e: e.objective_score) # type: ignore[arg-type] + return max(scoreable, key=lambda e: e.objective_score) # type: ignore[arg-type] def windowed_history( self, last_n: int = 10, top_n: int = 5, max_chars: int = 16000 ) -> str: - """Render history section for prompt. Truncates to char budget.""" + """Summarize the best and recent experiments within a character budget.""" entries = self.load() if not entries: return "No experiments run yet." - # Summary stats from all scoreable entries - scoreable = [e for e in entries if e.objective_score is not None] + scoreable = [ + e + for e in entries + if e.status in {"success", "cached"} + and e.objective_score is not None + and math.isfinite(e.objective_score) + ] summary_parts = [f"Total experiments: {len(entries)}"] if scoreable: scores: list[float] = [ @@ -184,17 +155,14 @@ def windowed_history( summary_line = "Summary: " + ", ".join(summary_parts) - # Top N by score top_entries = sorted( scoreable, key=lambda e: e.objective_score, # type: ignore[arg-type] - reverse=(self.direction == "maximize"), + reverse=True, )[:top_n] - # Last N entries recent_entries = entries[-last_n:] - # Build sections sections: list[str] = [] sections.append(summary_line) sections.append("") @@ -211,11 +179,9 @@ def windowed_history( result = "\n".join(sections) - # Truncate to budget if needed if len(result) <= max_chars: return result - # Progressive truncation: reduce recent entries until we fit return _truncated_history(summary_line, top_entries, entries, last_n, max_chars) def config_hash(self) -> Optional[str]: @@ -237,36 +203,14 @@ def config_hash(self) -> Optional[str]: def write_config_hash(self, config_hash: str) -> None: """Write a metadata line with the config hash.""" - meta = {"_type": "metadata", "config_hash": config_hash} - line = json.dumps(meta, separators=(",", ":")) + "\n" - - existing = b"" - if self._log_path.exists(): - existing = self._log_path.read_bytes() - - new_content = existing + line.encode("utf-8") - self._log_path.parent.mkdir(parents=True, exist_ok=True) - - fd, tmp_path = tempfile.mkstemp( - dir=self._log_path.parent, prefix=".experiment_log_", suffix=".tmp" - ) - try: - os.write(fd, new_content) - os.fsync(fd) - os.close(fd) - os.rename(tmp_path, self._log_path) - except BaseException: - os.close(fd) if not _fd_closed(fd) else None - if os.path.exists(tmp_path): - os.unlink(tmp_path) - raise + self._append_record({"_type": "metadata", "config_hash": config_hash}) def consecutive_failures(self) -> int: """Count of consecutive non-success entries from the tail.""" entries = self.load() count = 0 for entry in reversed(entries): - if entry.status != "success": + if entry.status not in {"success", "cached"}: count += 1 else: break @@ -282,7 +226,6 @@ def _format_entry_brief(entry: LogEntry) -> str: params_str = ", ".join(f"{k}={v}" for k, v in sorted(entry.params.items())) parts.append("params={" + params_str + "}") if entry.error_detail: - # Truncate long error details detail = entry.error_detail if len(detail) > 100: detail = detail[:97] + "..." @@ -299,11 +242,9 @@ def _truncated_history( last_n: int, max_chars: int, ) -> str: - """Build a truncated history that fits within max_chars. + """Reduce top and recent entries to fit the character budget. - Strategy: progressively reduce top entries and recent entries counts - until the result fits. Always tries to keep the best entry and at - least 3 recent entries. + Keep the summary and best entry when the budget allows. """ max_recent = min(last_n, len(all_entries)) max_top = len(top_entries) @@ -335,12 +276,3 @@ def _truncated_history( sections.append("") sections.append("Best: " + _format_entry_brief(top_entries[0])) return "\n".join(sections)[:max_chars] - - -def _fd_closed(fd: int) -> bool: - """Check if a file descriptor is already closed.""" - try: - os.fstat(fd) - return False - except OSError: - return True diff --git a/netlab/autoresearch/generation_loop.py b/netlab/autoresearch/generation_loop.py index 613e717..165d844 100644 --- a/netlab/autoresearch/generation_loop.py +++ b/netlab/autoresearch/generation_loop.py @@ -1,193 +1,42 @@ -"""Generate freeform NetGraph YAML with LLM feedback. - -Each candidate is inspected and simulated. Errors are returned to the LLM -for another attempt, up to the configured limit. -""" +"""Generate, validate and simulate candidates through the shared execution API.""" from __future__ import annotations -import shutil -import subprocess -import tempfile -from dataclasses import dataclass, field +from dataclasses import dataclass from pathlib import Path -from typing import Any +from tempfile import TemporaryDirectory -import yaml - -from netlab.runtime import require_executable +from netlab.artifacts import write_text_atomic +from netlab.simulation import Inspection, SimulationBatch +from netlab.tasks import TaskQueue from .backend import LLMBackend -@dataclass -class InspectResult: - """Structured output from ngraph scenario inspection.""" - - success: bool - node_count: int = 0 - link_count: int = 0 - risk_groups: list[str] = field(default_factory=list) - demand_count: int = 0 - workflow_steps: int = 0 - hierarchy: dict[str, Any] = field(default_factory=dict) - errors: list[str] = field(default_factory=list) - raw_output: str = "" - - def summary(self) -> str: - if not self.success: - return f"FAILED: {'; '.join(self.errors)}" - return ( - f"nodes={self.node_count}, links={self.link_count}, " - f"risk_groups={self.risk_groups}, demands={self.demand_count}, " - f"workflow_steps={self.workflow_steps}" - ) - - @dataclass class GenerationResult: - """Generated scenario and simulation results, or details of the failed attempt.""" - success: bool scenario_yaml: str = "" scenario_path: Path | None = None results_path: Path | None = None results_data: dict | None = None - inspect: InspectResult | None = None + inspect: Inspection | None = None iterations_used: int = 0 error: str = "" -def inspect_scenario(scenario_path: Path, ngraph_bin: str) -> InspectResult: - """Run ``ngraph inspect`` and parse counts, risk groups, and errors.""" - try: - proc = subprocess.run( - [ngraph_bin, "inspect", str(scenario_path)], - capture_output=True, - text=True, - timeout=30, - ) - except subprocess.TimeoutExpired: - return InspectResult(success=False, errors=["ngraph inspect timed out"]) - except FileNotFoundError: - return InspectResult( - success=False, errors=[f"ngraph binary not found: {ngraph_bin}"] - ) - - output = proc.stdout + proc.stderr - if proc.returncode != 0: - # Extract the most useful error lines - error_lines = [ - line.strip() - for line in output.splitlines() - if "error" in line.lower() or "Error" in line or "invalid" in line.lower() - ] - if not error_lines: - error_lines = output.strip().splitlines()[-5:] - return InspectResult( - success=False, - errors=error_lines, - raw_output=output, - ) - - # Parse structured data from the overview table. - # Format: " Metric | Value" - # Only match lines where the metric name starts the line (not hierarchy lines - # like "- root | Nodes=10, Links=12" which also contain | and Nodes). - result = InspectResult(success=True, raw_output=output) - for line in output.splitlines(): - stripped = line.strip() - if stripped.startswith("-") or "=" in stripped.split("|")[-1]: - continue # Skip hierarchy lines and separator lines - if stripped.startswith("Nodes") and "|" in stripped: - result.node_count = _parse_int(stripped.split("|")[-1]) - elif stripped.startswith("Links") and "|" in stripped: - result.link_count = _parse_int(stripped.split("|")[-1]) - elif stripped.startswith("Workflow steps") and "|" in stripped: - result.workflow_steps = _parse_int(stripped.split("|")[-1]) - elif ( - stripped.startswith("Demand") and "|" in stripped and "demands" in stripped - ): - val_part = stripped.split("|")[-1] - if "(" in val_part: - inner = val_part.split("(")[1] - result.demand_count = _parse_int(inner.split("demand")[0]) - elif stripped.startswith("Total Nodes:"): - if result.node_count == 0: - result.node_count = _parse_int(stripped.split(":")[-1]) - elif stripped.startswith("Total Links:"): - if result.link_count == 0: - result.link_count = _parse_int(stripped.split(":")[-1]) - elif line.startswith("Risk groups"): - # "2 total; 0 disabled" - result.risk_groups = [] # populated below from detailed section - - # Extract risk group names from the detailed section - in_rg_section = False - for line in output.splitlines(): - stripped = line.strip() - if "RISK GROUPS" in stripped: - in_rg_section = True - continue - if in_rg_section and stripped.startswith("Total:"): - continue - if in_rg_section and stripped and not stripped.startswith("-"): - # Lines like " path_a (enabled)" or " rg_fiber (enabled)" - name = stripped.split("(")[0].strip() - if name and name != "Total:": - result.risk_groups.append(name) - if in_rg_section and stripped == "": - # Empty line after risk groups section - if result.risk_groups: - in_rg_section = False - - return result - - -def _parse_int(s: str) -> int: - try: - return int(s.strip().replace(",", "")) - except ValueError: - return 0 - - _GENERATION_SYSTEM_PROMPT_HEADER = """\ You are a network topology engineer generating ngraph scenario YAML files. You will receive a connectivity idea and must produce a complete ngraph -scenario YAML. After each attempt, you will receive the ngraph inspect -output showing what was actually built. Compare it against the original +scenario YAML. After each attempt, you will receive the structured inspection +summary showing what was actually built. Compare it against the original intent and fix any mismatches. Return ONLY valid YAML. No markdown fences, no explanation. """ -# Cache the DSL reference after the first generation request. -_DSL_REFERENCE: str | None = None - - -def _load_dsl_reference() -> str: - """Load the ngraph DSL skill reference for use as system prompt context.""" - global _DSL_REFERENCE - if _DSL_REFERENCE is not None: - return _DSL_REFERENCE - - # The full reference ships in the .claude/skills submodule. - from pathlib import Path - - skill_path = ( - Path(__file__).resolve().parents[2] - / ".claude" - / "skills" - / "netgraph-dsl" - / "SKILL.md" - ) - if skill_path.is_file(): - _DSL_REFERENCE = skill_path.read_text() - return _DSL_REFERENCE - - # Minimal reference used when the submodule is not checked out. - _DSL_REFERENCE = """\ +_DSL_REFERENCE = """\ CRITICAL RULES: - Top-level keys: seed, network, risk_groups, demands, failures, workflow - nodes and links go INSIDE the network key @@ -222,12 +71,6 @@ def _load_dsl_reference() -> str: alpha_from_step: msd_baseline alpha_from_field: data.alpha_star """ - return _DSL_REFERENCE - - -def _get_generation_system_prompt() -> str: - """Build the full system prompt for scenario generation.""" - return _GENERATION_SYSTEM_PROMPT_HEADER + "\n" + _load_dsl_reference() _GENERATION_PROMPT_TEMPLATE = """\ @@ -263,204 +106,78 @@ def _get_generation_system_prompt() -> str: def run_generation_loop( idea: str, backend: LLMBackend, - ngraph_bin: str | None = None, max_iterations: int = 20, work_dir: Path | None = None, + timeout_s: float = 60, ) -> GenerationResult: - """Generate, inspect, and simulate candidates until one succeeds. - - Args: - idea: Description of the topology and experiment to generate. - backend: LLM backend for generation and revisions. - ngraph_bin: NetGraph executable; resolved automatically if omitted. - max_iterations: Maximum generation attempts. - work_dir: Output directory; a temporary directory is used if omitted. + """Revise candidates using actual validation/execution errors. - Returns: - Scenario and simulation results on success, or error details. + Without ``work_dir``, return in-memory YAML/results with no artifact paths. + Each attempt owns a separate directory, preventing stale-result reuse. """ - if ngraph_bin is None: - try: - ngraph_bin = require_executable("ngraph", env_var="NETLAB_NGRAPH_BIN") - except RuntimeError as exc: - return GenerationResult(success=False, error=str(exc)) - - cleanup_work_dir = False + if max_iterations < 1: + raise ValueError("max_iterations must be positive") if work_dir is None: - work_dir = Path(tempfile.mkdtemp(prefix="genloop_")) - cleanup_work_dir = True - - work_dir.mkdir(parents=True, exist_ok=True) - scenario_path = work_dir / "scenario.yml" - - last_inspect: InspectResult | None = None + with TemporaryDirectory(prefix="netlab-generation-") as temporary: + result = run_generation_loop( + idea, backend, max_iterations, Path(temporary), timeout_s + ) + result.scenario_path = None + result.results_path = None + return result + + error = "" yaml_text = "" - - try: - for iteration in range(max_iterations): - # Generate or revise - if iteration == 0: - prompt = _GENERATION_PROMPT_TEMPLATE.format(idea=idea, feedback="") - else: - validation_errors = "" - if last_inspect and last_inspect.errors: - validation_errors = "Errors:\n" + "\n".join( - f"- {e}" for e in last_inspect.errors - ) - prompt = _REVISION_PROMPT_TEMPLATE.format( - inspect_summary=last_inspect.summary() if last_inspect else "N/A", + inspection = None + with TaskQueue() as queue: + batch = SimulationBatch(queue) + for iteration in range(1, max_iterations + 1): + prompt = ( + _GENERATION_PROMPT_TEMPLATE.format(idea=idea, feedback="") + if iteration == 1 + else _REVISION_PROMPT_TEMPLATE.format( idea=idea, - validation_errors=validation_errors, + inspect_summary=inspection.summary() + if inspection + else "Invalid scenario", + validation_errors=error, ) - + ) try: response = backend.generate( - prompt, system=_get_generation_system_prompt() + prompt, + system=_GENERATION_SYSTEM_PROMPT_HEADER + "\n" + _DSL_REFERENCE, ) except (RuntimeError, OSError) as exc: - last_inspect = InspectResult( - success=False, - errors=[f"LLM backend error: {exc}"], - ) + error = f"LLM backend error: {exc}" continue - - # Extract YAML from response yaml_text = _extract_yaml(response) - if not yaml_text: - last_inspect = InspectResult( - success=False, - errors=["Could not extract valid YAML from LLM response"], - ) - continue - - # Validate YAML syntax - try: - yaml.safe_load(yaml_text) - except yaml.YAMLError as e: - last_inspect = InspectResult( - success=False, - errors=[f"YAML syntax error: {e}"], - ) - continue - - # Write and inspect - scenario_path.write_text(yaml_text) - last_inspect = inspect_scenario(scenario_path, ngraph_bin) - - if last_inspect.success: - # Post-inspect viability checks - viability_errors = _check_viability(last_inspect) - if viability_errors: - last_inspect.success = False - last_inspect.errors = viability_errors - continue - - # Exercise demands, failure policies, and workflow references. - sim_result = _run_simulation(scenario_path, ngraph_bin, work_dir) - if not sim_result.success: - last_inspect = InspectResult( - success=False, - errors=[f"Simulation failed: {sim_result.error}"], - ) - continue - + scenario_path = work_dir / f"attempt_{iteration:03d}" / "scenario.yml" + write_text_atomic(scenario_path, yaml_text) + outcome = batch.submit( + scenario_path, timeout=timeout_s, require_traffic=True + ).result() + inspection = outcome.inspection + if outcome.success: return GenerationResult( success=True, scenario_yaml=yaml_text, scenario_path=scenario_path, - results_path=sim_result.results_path, - results_data=sim_result.results_data, - inspect=last_inspect, - iterations_used=iteration + 1, + results_path=scenario_path.with_suffix(".results.json"), + results_data=outcome.results, + inspect=inspection, + iterations_used=iteration, ) - - # Budget exhausted - return GenerationResult( - success=False, - scenario_yaml=yaml_text, - inspect=last_inspect, - iterations_used=max_iterations, - error=f"Failed to generate valid scenario in {max_iterations} iterations", - ) - - finally: - if cleanup_work_dir and work_dir.exists(): - shutil.rmtree(work_dir, ignore_errors=True) - - -@dataclass -class _SimResult: - """Internal result from a trial simulation run.""" - - success: bool - results_path: Path | None = None - results_data: dict | None = None - error: str = "" - - -def _run_simulation(scenario_path: Path, ngraph_bin: str, work_dir: Path) -> _SimResult: - """Simulate a candidate with a 60-second timeout and load its results.""" - import json - - results_dir = work_dir / "results" - results_dir.mkdir(exist_ok=True) - try: - proc = subprocess.run( - [ngraph_bin, "run", str(scenario_path), "-o", str(results_dir)], - capture_output=True, - text=True, - timeout=60, - ) - except subprocess.TimeoutExpired: - return _SimResult(success=False, error="Simulation timed out (60s)") - - if proc.returncode != 0: - # Extract useful error from stderr - stderr = proc.stderr.strip() - error_lines = [ - line - for line in stderr.splitlines() - if "error" in line.lower() or "Error" in line - ] - error_msg = "; ".join(error_lines[-3:]) if error_lines else stderr[-300:] - return _SimResult(success=False, error=error_msg) - - # Find and load results - results_files = list(results_dir.glob("*.results.json")) - if not results_files: - return _SimResult(success=False, error="No results file produced") - - results_path = results_files[0] - try: - with results_path.open() as f: - results_data = json.load(f) - except (json.JSONDecodeError, OSError) as e: - return _SimResult(success=False, error=f"Failed to load results: {e}") - - return _SimResult( - success=True, - results_path=results_path, - results_data=results_data, + error = outcome.error + return GenerationResult( + success=False, + scenario_yaml=yaml_text, + inspect=inspection, + iterations_used=max_iterations, + error=f"Failed after {max_iterations} attempts: {error}", ) -def _check_viability(inspect: InspectResult) -> list[str]: - """Check that an inspected scenario is minimally viable. - - Returns a list of error strings. Empty list means viable. - """ - errors: list[str] = [] - if inspect.node_count < 2: - errors.append(f"Need at least 2 nodes, got {inspect.node_count}") - if inspect.link_count < 1: - errors.append(f"Need at least 1 link, got {inspect.link_count}") - if inspect.demand_count < 1: - errors.append(f"Need at least 1 demand, got {inspect.demand_count}") - if inspect.workflow_steps < 1: - errors.append(f"Need at least 1 workflow step, got {inspect.workflow_steps}") - return errors - - def _extract_yaml(response: str) -> str: """Extract YAML content from an LLM response. diff --git a/netlab/autoresearch/hypothesis.py b/netlab/autoresearch/hypothesis.py index 511f684..ebe1a8f 100644 --- a/netlab/autoresearch/hypothesis.py +++ b/netlab/autoresearch/hypothesis.py @@ -1,16 +1,10 @@ -"""Hypothesis management for autoresearch. - -Provides: -- ParamDef: dataclass defining a single parameter's type, range, and default. -- HypothesisTemplate: parses a hypothesis_template.yml, exposes param definitions. -- Hypothesis: holds param values, validates against template, computes deterministic hash. -- HypothesisMerger: substitutes ${{param}} placeholders in a base scenario YAML text. -""" +"""Validate research parameters and substitute them into scenario templates.""" from __future__ import annotations import hashlib import json +import math import re from dataclasses import dataclass from pathlib import Path @@ -25,13 +19,13 @@ class ParamDef: type: Literal["int", "float", "enum"] range: Optional[tuple[float, float]] = None # for int/float step: Optional[float] = None # for int/float - values: Optional[list[str]] = None # for enum + values: Optional[list[str | int | float]] = None # for enum default: Any = None description: str = "" class HypothesisTemplate: - """Parses a hypothesis_template.yml and exposes parameter definitions.""" + """Load parameter types, ranges, and defaults from hypothesis_template.yml.""" def __init__(self, path: Path) -> None: self._path = path @@ -45,6 +39,8 @@ def _parse(self, path: Path) -> None: params_data = data.get("params") or {} for name, spec in params_data.items(): ptype = spec["type"] + if ptype not in {"int", "float", "enum"}: + raise ValueError(f"Parameter {name}: unsupported type {ptype!r}") prange = None step = None values = None @@ -52,13 +48,33 @@ def _parse(self, path: Path) -> None: if ptype in ("int", "float"): raw_range = spec.get("range") if raw_range is not None: + if len(raw_range) != 2: + raise ValueError(f"Parameter {name}: range needs two bounds") prange = (float(raw_range[0]), float(raw_range[1])) + if ( + not all(math.isfinite(v) for v in prange) + or prange[0] > prange[1] + ): + raise ValueError(f"Parameter {name}: invalid range") step = spec.get("step") if step is not None: step = float(step) + if not math.isfinite(step) or step <= 0: + raise ValueError( + f"Parameter {name}: step must be finite and positive" + ) if ptype == "enum": values = list(spec["values"]) + if not values or any( + type(v) not in {str, int, float} + or (isinstance(v, str) and "\n" in v) + or (isinstance(v, float) and not math.isfinite(v)) + for v in values + ): + raise ValueError( + f"Parameter {name}: enum values must be finite numbers or single-line strings" + ) default = spec.get("default") description = spec.get("description", "") @@ -81,17 +97,14 @@ def validate_hypothesis(self, params: dict[str, Any]) -> list[str]: """Returns list of error messages. Empty = valid.""" errors: list[str] = [] - # Check for unknown params for name in params: if name not in self._params: errors.append(f"Unrecognized parameter: {name}") - # Check for missing params (no default) for name, _pdef in self._params.items(): if name not in params: errors.append(f"Missing required parameter: {name}") - # Validate types and ranges for known params for name, value in params.items(): if name not in self._params: continue @@ -114,6 +127,8 @@ def validate_hypothesis(self, params: dict[str, Any]) -> list[str]: errors.append( f"Parameter {name}: expected type float, got {type(value).__name__}" ) + elif not math.isfinite(value): + errors.append(f"Parameter {name}: value must be finite") elif pdef.range is not None: lo, hi = pdef.range if value < lo or value > hi: @@ -122,7 +137,9 @@ def validate_hypothesis(self, params: dict[str, Any]) -> list[str]: ) elif pdef.type == "enum": - if pdef.values is not None and str(value) not in pdef.values: + if not any( + type(value) is type(v) and value == v for v in (pdef.values or []) + ): errors.append( f"Parameter {name}: value {value!r} not in allowed values {pdef.values}" ) @@ -131,7 +148,7 @@ def validate_hypothesis(self, params: dict[str, Any]) -> list[str]: class Hypothesis: - """Holds parameter values, validates against template, computes deterministic hash.""" + """Parameter values with template validation and a stable hash.""" def __init__(self, params: dict[str, Any], template: HypothesisTemplate) -> None: self._params = dict(params) @@ -143,9 +160,8 @@ def params(self) -> dict[str, Any]: @property def params_hash(self) -> str: - """Deterministic hash of normalized params. Same params in any order -> same hash.""" - # Sort keys for deterministic ordering - normalized = json.dumps(self._params, sort_keys=True, default=str) + """Hash parameter values independently of dictionary key order.""" + normalized = json.dumps(self._params, sort_keys=True, allow_nan=False) return hashlib.sha256(normalized.encode("utf-8")).hexdigest() def validate(self) -> list[str]: @@ -159,11 +175,7 @@ def validate(self) -> list[str]: class HypothesisMerger: - """Template mode only. Not used in programmatic mode. - - Loads a base scenario as text, substitutes ${{param}} placeholders with - hypothesis param values, and returns the parsed YAML dict. - """ + """Substitute ``${{param}}`` values in YAML for template-mode research.""" def __init__(self, base_scenario_text: str, template: HypothesisTemplate) -> None: self._base_text = base_scenario_text @@ -175,13 +187,11 @@ def validate_placeholders(self) -> list[str]: placeholders_in_text = set(_PLACEHOLDER_RE.findall(self._base_text)) template_params = set(self._template.params.keys()) - # Placeholders in text that are not in template for ph in sorted(placeholders_in_text - template_params): errors.append( f"Placeholder ${{{{{ph}}}}} in scenario not found in template params" ) - # Template params not referenced in text for p in sorted(template_params - placeholders_in_text): errors.append( f"Template parameter {p} has no corresponding placeholder in scenario" @@ -190,10 +200,7 @@ def validate_placeholders(self) -> list[str]: return errors def merge(self, hypothesis: Hypothesis) -> dict: - """Substitute params, parse YAML, return scenario dict. - - Raises ValueError on unreplaced tokens. - """ + """Substitute parameters and parse YAML; reject unreplaced placeholders.""" params = hypothesis.params text = self._base_text @@ -205,14 +212,25 @@ def _replacer(match: re.Match) -> str: f"parameter not found in hypothesis" ) value = params[name] - # Return the raw value as a string for YAML substitution. return str(value) text = _PLACEHOLDER_RE.sub(_replacer, text) - # Post-substitution scan: reject if any ${{ remains remaining = _PLACEHOLDER_RE.findall(text) if remaining: raise ValueError(f"Unreplaced placeholders after merge: {remaining}") return yaml.safe_load(text) + + +def validate_template_workflow(text: str) -> None: + """Require the current list-form workflow and its capacity-search step.""" + data = yaml.safe_load(text) + workflow = data.get("workflow") if isinstance(data, dict) else None + if not isinstance(workflow, list) or not any( + isinstance(step, dict) and step.get("type") == "MaximumSupportedDemand" + for step in workflow + ): + raise ValueError( + "Base scenario must have a MaximumSupportedDemand workflow step in a workflow list" + ) diff --git a/netlab/autoresearch/hypothesis_manager.py b/netlab/autoresearch/hypothesis_manager.py index 5b97165..ba55244 100644 --- a/netlab/autoresearch/hypothesis_manager.py +++ b/netlab/autoresearch/hypothesis_manager.py @@ -3,7 +3,6 @@ from __future__ import annotations import json -import shutil import time from dataclasses import asdict, dataclass from datetime import datetime, timezone @@ -12,7 +11,7 @@ import yaml -from netlab.runtime import require_executable +from netlab.artifacts import write_text_atomic from .analysis_loop import AnalysisResult, run_analysis_loop from .backend import LLMBackend @@ -59,32 +58,22 @@ def _hypothesis_hash(text: str) -> str: class HypothesisManager: - """Manage research cycles in a project directory. + """Run research cycles in ``cycles//`` and record them in cycle_log.jsonl. - Cycle artifacts live under ``cycles//``. Cross-cycle state is stored in - ``cycle_log.jsonl``, ``knowledge.md``, and ``dead_ends.jsonl``. + A generation failure permits another attempt at the same hypothesis. """ def __init__( self, project_dir: Path, backend: LLMBackend, - ngraph_bin: str | None = None, ) -> None: self._project_dir = project_dir self._backend = backend - self._ngraph_bin = ngraph_bin or require_executable( - "ngraph", env_var="NETLAB_NGRAPH_BIN" - ) - - # Ensure directories exist self._cycles_dir = project_dir / "cycles" self._cycles_dir.mkdir(parents=True, exist_ok=True) - # Cross-cycle state files self._log_path = project_dir / "cycle_log.jsonl" - self._knowledge_path = project_dir / "knowledge.md" - self._dead_ends_path = project_dir / "dead_ends.jsonl" def _next_cycle_id(self) -> int: """Determine next cycle ID from existing directories.""" @@ -95,49 +84,11 @@ def _next_cycle_id(self) -> int: ] return max(existing, default=0) + 1 - def _load_dead_end_hashes(self) -> set[str]: - """Load hypothesis hashes from dead ends log.""" - hashes: set[str] = set() - if self._dead_ends_path.exists(): - for line in self._dead_ends_path.read_text().splitlines(): - if line.strip(): - try: - entry = json.loads(line) - hashes.add(entry.get("hypothesis_hash", "")) - except json.JSONDecodeError: - continue - return hashes - - def _load_knowledge(self) -> str: - """Load current knowledge document.""" - if self._knowledge_path.exists(): - return self._knowledge_path.read_text() - return "" - - def _save_knowledge(self, content: str) -> None: - """Save updated knowledge document (atomic write).""" - tmp = self._knowledge_path.with_suffix(".md.tmp") - tmp.write_text(content) - tmp.replace(self._knowledge_path) - def _append_log(self, entry: CycleLogEntry) -> None: """Append a cycle summary to the log.""" line = json.dumps(asdict(entry)) + "\n" - with self._log_path.open("a") as f: - f.write(line) - - def _append_dead_end( - self, hypothesis_hash: str, reason: str, cycle_id: int - ) -> None: - """Record a dead end.""" - entry = { - "hypothesis_hash": hypothesis_hash, - "reason": reason, - "cycle_id": cycle_id, - "timestamp": _now_iso(), - } - with self._dead_ends_path.open("a") as f: - f.write(json.dumps(entry) + "\n") + previous = self._log_path.read_text() if self._log_path.exists() else "" + write_text_atomic(self._log_path, previous + line) def run_cycle(self, hypothesis: str) -> HypothesisCycle: """Generate and simulate a hypothesis, analyze the results, and save the cycle.""" @@ -147,39 +98,16 @@ def run_cycle(self, hypothesis: str) -> HypothesisCycle: cycle_dir = self._cycles_dir / f"{cycle_id:03d}" cycle_dir.mkdir(parents=True, exist_ok=True) - # Check for dead end - if h_hash in self._load_dead_end_hashes(): - cycle = HypothesisCycle( - cycle_id=cycle_id, - hypothesis=hypothesis, - hypothesis_hash=h_hash, - status="skipped", - error="Hypothesis previously identified as dead end", - timestamp=_now_iso(), - ) - self._append_log( - CycleLogEntry( - cycle_id=cycle_id, - hypothesis_hash=h_hash, - status="skipped", - error=cycle.error, - timestamp=_now_iso(), - ) - ) - return cycle - - # Save hypothesis - (cycle_dir / "hypothesis.yml").write_text( + write_text_atomic( + cycle_dir / "hypothesis.yml", yaml.dump( {"hypothesis": hypothesis, "hash": h_hash}, default_flow_style=False - ) + ), ) - # Step 1: Generate scenario gen_result = run_generation_loop( idea=hypothesis, backend=self._backend, - ngraph_bin=self._ngraph_bin, work_dir=cycle_dir, ) @@ -194,9 +122,6 @@ def run_cycle(self, hypothesis: str) -> HypothesisCycle: duration_s=round(time.time() - t0, 1), timestamp=_now_iso(), ) - self._append_dead_end( - h_hash, f"Generation failed: {gen_result.error}", cycle_id - ) self._append_log( CycleLogEntry( cycle_id=cycle_id, @@ -210,33 +135,30 @@ def run_cycle(self, hypothesis: str) -> HypothesisCycle: ) return cycle - # Persist the generated scenario in the cycle directory. scenario_path = cycle_dir / "scenario.yml" - if gen_result.scenario_path and gen_result.scenario_path != scenario_path: - shutil.copy2(gen_result.scenario_path, scenario_path) + write_text_atomic(scenario_path, gen_result.scenario_yaml) results_data = gen_result.results_data assert results_data is not None - # Step 2: Analyze analysis = run_analysis_loop( results=results_data, hypothesis=hypothesis, backend=self._backend, ) - (cycle_dir / "metrics_report.md").write_text(analysis.metrics_report) + write_text_atomic(cycle_dir / "metrics_report.md", analysis.metrics_report) - # Save LLM interpretation - (cycle_dir / "interpretation.md").write_text(analysis.interpretation) + write_text_atomic(cycle_dir / "interpretation.md", analysis.interpretation) - # Save next hypothesis suggestion if analysis.next_hypothesis: - (cycle_dir / "next_hypothesis.md").write_text(analysis.next_hypothesis) + write_text_atomic( + cycle_dir / "next_hypothesis.md", analysis.next_hypothesis + ) - # Save status status = "analyzed" if analysis.complete else "analysis_incomplete" - (cycle_dir / "status.yml").write_text( + write_text_atomic( + cycle_dir / "status.yml", yaml.dump( { "status": status, @@ -244,7 +166,7 @@ def run_cycle(self, hypothesis: str) -> HypothesisCycle: "hypothesis_hash": h_hash, }, default_flow_style=False, - ) + ), ) cycle = HypothesisCycle( diff --git a/netlab/autoresearch/memory.py b/netlab/autoresearch/memory.py index 089c696..b439277 100644 --- a/netlab/autoresearch/memory.py +++ b/netlab/autoresearch/memory.py @@ -1,4 +1,4 @@ -"""Research memory: persistent insights, dead ends, and strategy for autoresearch.""" +"""Store research insights, rejected approaches, and strategy between experiments.""" from __future__ import annotations @@ -8,8 +8,9 @@ import uuid from dataclasses import asdict, dataclass, field from pathlib import Path -from typing import Any, Optional +from typing import Optional +from netlab.artifacts import write_text_atomic from netlab.autoresearch.experiment_log import ExperimentLog logger = logging.getLogger(__name__) @@ -63,39 +64,6 @@ class DeadEnd: lesson: str = "" -def _insight_to_dict(ins: Insight) -> dict[str, Any]: - return asdict(ins) - - -def _dict_to_insight(d: dict[str, Any]) -> Insight: - return Insight( - id=d["id"], - created_at_exp=d["created_at_exp"], - updated_at_exp=d["updated_at_exp"], - claim=d["claim"], - evidence_for=d.get("evidence_for", []), - evidence_against=d.get("evidence_against", []), - confidence=d.get("confidence", "tentative"), - status=d.get("status", "active"), - flagged_for_revision=d.get("flagged_for_revision", False), - ) - - -def _dead_end_to_dict(de: DeadEnd) -> dict[str, Any]: - return asdict(de) - - -def _dict_to_dead_end(d: dict[str, Any]) -> DeadEnd: - return DeadEnd( - id=d["id"], - exp_ids=d.get("exp_ids", []), - params_summary=d.get("params_summary", ""), - failure_type=d.get("failure_type", "other"), - reason=d.get("reason", ""), - lesson=d.get("lesson", ""), - ) - - class ResearchMemory: """Persistent research memory backed by JSONL and markdown files. @@ -111,17 +79,15 @@ def __init__(self, memory_dir: Path) -> None: self._dead_ends: list[DeadEnd] = [] self._strategy: str = "" - # ---- Persistence ---- - def load(self) -> None: """Load all memory files from disk. Missing files are treated as empty.""" self._dir.mkdir(parents=True, exist_ok=True) self._insights = self._load_jsonl( - self._dir / "insights.jsonl", _dict_to_insight + self._dir / "insights.jsonl", lambda d: Insight(**d) ) self._dead_ends = self._load_jsonl( - self._dir / "dead_ends.jsonl", _dict_to_dead_end + self._dir / "dead_ends.jsonl", lambda d: DeadEnd(**d) ) strategy_path = self._dir / "strategy.md" @@ -134,13 +100,11 @@ def save(self) -> None: """Write all memory to disk.""" self._dir.mkdir(parents=True, exist_ok=True) - self._save_jsonl(self._dir / "insights.jsonl", self._insights, _insight_to_dict) - self._save_jsonl( - self._dir / "dead_ends.jsonl", self._dead_ends, _dead_end_to_dict - ) + self._save_jsonl(self._dir / "insights.jsonl", self._insights, asdict) + self._save_jsonl(self._dir / "dead_ends.jsonl", self._dead_ends, asdict) strategy_path = self._dir / "strategy.md" - strategy_path.write_text(self._strategy, encoding="utf-8") + write_text_atomic(strategy_path, self._strategy) @staticmethod def _load_jsonl(path: Path, converter) -> list: @@ -160,21 +124,17 @@ def _load_jsonl(path: Path, converter) -> list: @staticmethod def _save_jsonl(path: Path, items: list, converter) -> None: lines = [json.dumps(converter(item), separators=(",", ":")) for item in items] - path.write_text("\n".join(lines) + "\n" if lines else "", encoding="utf-8") - - # ---- Insights ---- + write_text_atomic(path, "\n".join(lines) + "\n" if lines else "") @property def active_insights(self) -> list[Insight]: return [ins for ins in self._insights if ins.status == "active"] def add_insight(self, insight: Insight, log: ExperimentLog) -> Optional[str]: - """Add an insight. Returns error message string if rejected, None on success. + """Add an insight; return an error message on rejection, otherwise None. - Rejection reasons: - - Fewer than 2 evidence_for entries - - Active insight limit (20) exceeded - - evidence_for or evidence_against contain exp IDs not in the log + Require two supporting experiments, known experiment IDs, and fewer than + 20 active insights. """ if len(insight.evidence_for) < MIN_EVIDENCE_FOR: return ( @@ -185,7 +145,6 @@ def add_insight(self, insight: Insight, log: ExperimentLog) -> Optional[str]: if len(self.active_insights) >= MAX_ACTIVE_INSIGHTS: return f"Insight rejected: active insight limit of {MAX_ACTIVE_INSIGHTS} reached" - # Validate experiment IDs entries = log.load() valid_ids = {e.exp_id for e in entries} all_cited = set(insight.evidence_for) | set(insight.evidence_against) @@ -195,7 +154,6 @@ def add_insight(self, insight: Insight, log: ExperimentLog) -> Optional[str]: f"Insight rejected: experiment IDs not found in log: {sorted(invalid)}" ) - # Set confidence from evidence count insight.confidence = _compute_confidence(len(insight.evidence_for)) insight.flagged_for_revision = _should_flag( insight.evidence_for, insight.evidence_against @@ -205,16 +163,19 @@ def add_insight(self, insight: Insight, log: ExperimentLog) -> Optional[str]: return None def update_insight(self, insight_id: str, updates: dict) -> None: - """Update fields on an existing insight. - - After update, recalculates confidence and flagged_for_revision. - """ + """Update an insight and recalculate its confidence and revision flag.""" for ins in self._insights: if ins.id == insight_id: for key, value in updates.items(): - if hasattr(ins, key): - setattr(ins, key, value) - # Recalculate derived fields + if key not in { + "claim", + "evidence_for", + "evidence_against", + "status", + "updated_at_exp", + }: + raise ValueError(f"Cannot update insight field {key!r}") + setattr(ins, key, value) ins.confidence = _compute_confidence(len(ins.evidence_for)) ins.flagged_for_revision = _should_flag( ins.evidence_for, ins.evidence_against @@ -230,8 +191,6 @@ def retire_insight(self, insight_id: str) -> None: return logger.warning("Insight %s not found for retirement", insight_id) - # ---- Dead Ends ---- - @property def dead_ends(self) -> list[DeadEnd]: return list(self._dead_ends) @@ -248,12 +207,9 @@ def add_dead_end(self, dead_end: DeadEnd) -> None: self._dead_ends.append(dead_end) - # Enforce sliding window: drop oldest if over limit if len(self._dead_ends) > MAX_DEAD_ENDS: self._dead_ends = self._dead_ends[-MAX_DEAD_ENDS:] - # ---- Strategy ---- - @property def strategy(self) -> str: return self._strategy @@ -265,8 +221,6 @@ def update_strategy(self, text: str) -> None: lines = lines[:MAX_STRATEGY_LINES] self._strategy = "\n".join(lines) - # ---- Reflection parsing ---- - def parse_reflection_output( self, response: str, log: ExperimentLog ) -> Optional[str]: @@ -286,7 +240,6 @@ def parse_reflection_output( Returns error string on failure, None on success. """ - # Extract JSON block json_match = re.search(r"```json\s*\n(.*?)```", response, re.DOTALL) if not json_match: return "Reflection parse failed: no ```json``` block found" @@ -302,11 +255,9 @@ def parse_reflection_output( errors: list[str] = [] - # Process retirements first for insight_id in data.get("retire_insights", []): self.retire_insight(insight_id) - # Process insights exp_counter = max((ins.created_at_exp for ins in self._insights), default=0) for ins_data in data.get("insights", []): @@ -336,13 +287,11 @@ def parse_reflection_output( if err: errors.append(err) - # Process dead ends for de_data in data.get("dead_ends", []): if not isinstance(de_data, dict): errors.append(f"Skipped non-dict dead_end: {de_data!r}") continue - # Extract exp_ids from the dead_end data, defaulting to empty exp_ids = de_data.get("exp_ids", []) dead_end = DeadEnd( diff --git a/netlab/autoresearch/metrics_report.py b/netlab/autoresearch/metrics_report.py index b07ea48..f0644fb 100644 --- a/netlab/autoresearch/metrics_report.py +++ b/netlab/autoresearch/metrics_report.py @@ -11,14 +11,13 @@ def build_metrics_report(results: dict, step_names: list[str] | None = None) -> step_names: Placement steps to analyze. If omitted, select steps with baseline and failure flow records. """ - from metrics.bac import compute_bac - from metrics.common import flow_occurrence_count - from metrics.latency import compute_latency_stretch - from metrics.msd import compute_alpha_star + from netlab.metrics.bac import compute_bac + from netlab.metrics.common import flow_occurrence_count + from netlab.metrics.latency import compute_latency_stretch + from netlab.metrics.msd import compute_alpha_star lines: list[str] = ["# Metrics Report\n"] - # Alpha / MSD try: alpha = compute_alpha_star(results) lines.append("## Capacity") @@ -27,14 +26,12 @@ def build_metrics_report(results: dict, step_names: list[str] | None = None) -> if alpha.base_total_demand > 0: lines.append(f"- base_total_demand: {alpha.base_total_demand}") lines.append("") - except (ValueError, KeyError): - pass + except (ValueError, KeyError) as exc: + lines.append(f"- Capacity unavailable: {exc}") - # Detect TMP steps if step_names is None: step_names = _detect_tmp_steps(results) - # BAC + Latency per step for step_name in step_names: step_data = results.get("steps", {}).get(step_name, {}).get("data", {}) if not step_data or not step_data.get("flow_results"): @@ -42,14 +39,12 @@ def build_metrics_report(results: dict, step_names: list[str] | None = None) -> lines.append(f"## {step_name}\n") - # Iteration counts fr = step_data.get("flow_results", []) n_patterns = len(fr) n_iters = sum(flow_occurrence_count(f) for f in fr) lines.append(f"- failure iterations: {n_iters}") lines.append(f"- unique patterns: {n_patterns}") - # Baseline baseline = step_data.get("baseline", {}) if baseline: s = baseline.get("summary", {}) @@ -57,7 +52,6 @@ def build_metrics_report(results: dict, step_names: list[str] | None = None) -> f"- baseline: placed={s.get('total_placed')}, demand={s.get('total_demand')}, ratio={s.get('overall_ratio')}" ) - # Per-pattern summary lines.append("- failure patterns:") for _idx, f in enumerate(fr): s = f.get("summary", {}) @@ -73,7 +67,6 @@ def build_metrics_report(results: dict, step_names: list[str] | None = None) -> f"excluded: {excl_str}" ) - # BAC try: bac = compute_bac(results, step_name=step_name) lines.append("") @@ -91,8 +84,8 @@ def build_metrics_report(results: dict, step_names: list[str] | None = None) -> lines.append( f" - {label}: AUC={pf.auc_normalized:.4f}, offered={pf.offered}" ) - except (ValueError, KeyError): - pass + except (ValueError, KeyError) as exc: + lines.append(f"- Metric unavailable: {exc}") try: lat = compute_latency_stretch(results, step_name) @@ -112,8 +105,8 @@ def build_metrics_report(results: dict, step_names: list[str] | None = None) -> wes_d = lat.derived.get("WES_delta") if wes_d is not None: lines.append(f"- WES delta: {wes_d:.4f}") - except (ValueError, KeyError): - pass + except (ValueError, KeyError) as exc: + lines.append(f"- Metric unavailable: {exc}") lines.append("") diff --git a/netlab/autoresearch/objective.py b/netlab/autoresearch/objective.py index 6a39648..3195c51 100644 --- a/netlab/autoresearch/objective.py +++ b/netlab/autoresearch/objective.py @@ -1,13 +1,8 @@ -"""Objective function for autoresearch. - -Provides: -- ObjectiveResult: dataclass holding evaluation outcome (score, status, metrics). -- ObjectiveFunction: parses objective.yml, extracts metrics from results dicts, - checks constraints, and computes a scalar score for ranking hypotheses. -""" +"""Extract result metrics, check constraints, and score research candidates.""" from __future__ import annotations +import math from dataclasses import dataclass, field from pathlib import Path from typing import Any @@ -82,7 +77,6 @@ def _parse(self, path: Path) -> None: ) ) - # Validate that primary_metric is defined in metrics if self._primary_metric not in self._metrics: raise ValueError( f"primary_metric {self._primary_metric!r} not found in metrics definitions" @@ -98,15 +92,13 @@ def primary_metric(self) -> str: return self._primary_metric def evaluate(self, results: dict) -> ObjectiveResult: - """Extract metrics from ngraph results, check constraints, compute score.""" - # Extract all defined metrics + """Extract metrics and score a candidate; higher scores rank better.""" all_metrics: dict[str, float] = {} for key in self._metrics: all_metrics[key] = self.extract_metric(results, key) primary_value = all_metrics[self._primary_metric] - # Check constraints violated: list[str] = [] for cdef in self._constraints: metric_val = all_metrics.get(cdef.metric) @@ -118,7 +110,6 @@ def evaluate(self, results: dict) -> ObjectiveResult: if not check_fn(metric_val, cdef.value): violated.append(cdef.name) - # Compute score if self._direction == "maximize": score = primary_value else: @@ -126,7 +117,6 @@ def evaluate(self, results: dict) -> ObjectiveResult: status = "feasible" if not violated else "infeasible" - # Apply penalty for constraint violations if violated: score = score - 1e6 * len(violated) @@ -139,11 +129,7 @@ def evaluate(self, results: dict) -> ObjectiveResult: ) def extract_metric(self, results: dict, key: str) -> float: - """Extract a single metric value by navigating the dot-path. - - Raises KeyError if the metric key is not defined or the path - does not exist in the results dict. - """ + """Read a configured metric; raise KeyError if its key or result path is missing.""" if key not in self._metrics: raise KeyError(f"Metric {key!r} not defined in objective") @@ -152,10 +138,7 @@ def extract_metric(self, results: dict, key: str) -> float: def _navigate_dot_path(data: dict, dot_path: str, metric_key: str) -> float: - """Walk a dot-separated path through nested dicts. - - Raises KeyError with a descriptive message if any segment is missing. - """ + """Read a dot-separated dictionary path; raise KeyError on a missing segment.""" parts = dot_path.split(".") current: Any = data for i, part in enumerate(parts): @@ -173,4 +156,7 @@ def _navigate_dot_path(data: dict, dot_path: str, metric_key: str) -> float: ) current = current[part] - return float(current) + value = float(current) + if not math.isfinite(value): + raise ValueError(f"Metric {metric_key!r} must be finite") + return value diff --git a/netlab/autoresearch/prompt.py b/netlab/autoresearch/prompt.py index 2f268e0..2ebe647 100644 --- a/netlab/autoresearch/prompt.py +++ b/netlab/autoresearch/prompt.py @@ -1,11 +1,4 @@ -"""Prompt construction for autoresearch LLM interactions. - -Provides: -- build_hypothesis_prompt(): assembles system + user prompt for hypothesis generation -- build_reflection_prompt(): assembles prompt for reflection on recent experiments -- parse_hypothesis_response(): extracts YAML params from LLM response -- render_memory_section(): formats research memory for prompt inclusion -""" +"""Build research prompts and parse proposed parameters.""" from __future__ import annotations @@ -23,11 +16,6 @@ class ParseError(Exception): """Raised when LLM response cannot be parsed into valid parameters.""" -# --------------------------------------------------------------------------- -# Interfaces for the research state included in prompts. -# --------------------------------------------------------------------------- - - @runtime_checkable class InsightLike(Protocol): @property @@ -70,10 +58,6 @@ def dead_ends(self) -> list: ... def strategy(self) -> str: ... -# --------------------------------------------------------------------------- -# Prompt building -# --------------------------------------------------------------------------- - _YAML_FENCE_RE = re.compile(r"```(?:yaml|YAML)\s*\n(.*?)```", re.DOTALL) @@ -110,10 +94,7 @@ def _render_best(best: Optional[LogEntry]) -> str: def render_memory_section(memory: ResearchMemoryLike) -> str: - """Render insights + dead_ends + strategy for inclusion in hypothesis prompt. - - Returns empty string if memory is empty (no section headers injected). - """ + """Format insights, rejected approaches, and strategy; omit empty sections.""" insights = memory.active_insights dead_ends = memory.dead_ends strategy = memory.strategy @@ -169,12 +150,6 @@ def build_hypothesis_prompt( """ system_prompt = program_md - # Build user prompt sections in order: - # 1. Parameter space - # 2. Memory section (if non-empty) - # 3. History - # 4. Current best - # 5. Instructions user_parts: list[str] = [] user_parts.append("## Parameter Space") @@ -224,7 +199,6 @@ def build_reflection_prompt( user_parts: list[str] = [] - # Recent experiments user_parts.append("## Recent Experiment Results") for entry in recent_entries: parts = [f"- {entry.exp_id}: status={entry.status}"] @@ -238,19 +212,16 @@ def build_reflection_prompt( user_parts.append(", ".join(parts)) user_parts.append("") - # Current memory mem_section = render_memory_section(memory) if mem_section: user_parts.append("## Current Memory") user_parts.append(mem_section) user_parts.append("") - # Current best user_parts.append("## Current Best") user_parts.append(_render_best(best)) user_parts.append("") - # Task sections user_parts.append("## Tasks") user_parts.append( "Review the results above and update your research notes. " @@ -281,19 +252,13 @@ def build_reflection_prompt( def parse_hypothesis_response(response: str) -> dict[str, Any]: - """Extract YAML params from LLM response. - - Tries: - 1. Find a ```yaml ... ``` fenced block and parse its content. - 2. If no fenced block, try to parse the entire response as YAML. - 3. If both fail, raise ParseError. + """Read parameters from a fenced YAML block, or from the whole response. - If parsed result has a "params" key, returns the value under "params". - Otherwise returns the whole dict. + Return the ``params`` mapping when present, otherwise the top-level mapping. + Raise ParseError for invalid YAML or a non-mapping value. """ parsed: Any = None - # Try fenced YAML block first match = _YAML_FENCE_RE.search(response) if match: yaml_text = match.group(1) @@ -302,7 +267,6 @@ def parse_hypothesis_response(response: str) -> dict[str, Any]: except yaml.YAMLError as exc: raise ParseError(f"Failed to parse YAML in fenced block: {exc}") from exc else: - # Try parsing the entire response as YAML try: parsed = yaml.safe_load(response) except yaml.YAMLError as err: diff --git a/netlab/autoresearch/runner.py b/netlab/autoresearch/runner.py index 5690ab6..98a190c 100644 --- a/netlab/autoresearch/runner.py +++ b/netlab/autoresearch/runner.py @@ -1,16 +1,9 @@ -"""AutoResearch runner: core experiment loop. - -Provides: -- RunConfig: dataclass holding all runner configuration. -- AutoResearchRunner: init validation, main loop, subprocess execution, - circuit breaker, resume detection, deduplication. -""" +"""Generate, simulate, and score research candidates with resumable experiment logs.""" from __future__ import annotations -import json +import inspect import logging -import subprocess import time from dataclasses import dataclass from datetime import datetime, timezone @@ -19,12 +12,19 @@ import yaml +from netlab.artifacts import ( + fingerprint, + package_versions, + sha256_file, + write_text_atomic, +) from netlab.autoresearch.backend import LLMBackend from netlab.autoresearch.experiment_log import ExperimentLog, LogEntry from netlab.autoresearch.hypothesis import ( Hypothesis, HypothesisMerger, HypothesisTemplate, + validate_template_workflow, ) from netlab.autoresearch.memory import ResearchMemory from netlab.autoresearch.objective import ObjectiveFunction @@ -35,21 +35,15 @@ parse_hypothesis_response, render_memory_section, ) -from netlab.runtime import require_executable +from netlab.simulation import run_simulation logger = logging.getLogger(__name__) -def _default_ngraph_bin() -> str: - """Resolve ngraph binary from explicit env, PATH, or current interpreter venv.""" - return require_executable("ngraph", env_var="NETLAB_NGRAPH_BIN") - - @dataclass class RunConfig: project_dir: Path backend: LLMBackend - ngraph_bin: str | None = None max_experiments: int = 50 timeout_s: int = 600 seed: int = 42 @@ -61,15 +55,20 @@ class AutoResearchRunner: """Runs the autoresearch experiment loop.""" def __init__(self, config: RunConfig) -> None: + for name in ( + "timeout_s", + "circuit_breaker_threshold", + "reflection_interval", + ): + if getattr(config, name) < 1: + raise ValueError(f"{name} must be positive") + if config.max_experiments < 0: + raise ValueError("max_experiments must be nonnegative") self._config = config self._project_dir = Path(config.project_dir) self._status = "initialized" self._ngraph_call_count = 0 - # Resolve ngraph binary path (overridable for testing) - self._ngraph_bin = config.ngraph_bin or _default_ngraph_bin() - - # Load project files self._program_md = (self._project_dir / "program.md").read_text( encoding="utf-8" ) @@ -79,7 +78,6 @@ def __init__(self, config: RunConfig) -> None: ) self._objective = ObjectiveFunction(self._project_dir / "objective.yml") - # Detect generation mode from config.yml config_path = self._project_dir / "config.yml" if config_path.exists(): with open(config_path) as f: @@ -96,15 +94,12 @@ def __init__(self, config: RunConfig) -> None: self._generator_function = "" self._config_class = "" - # Mode-specific initialization if self._generation_mode == "template": base_scenario_path = self._project_dir / "base_scenario.yml" self._base_scenario_text = base_scenario_path.read_text(encoding="utf-8") - # Validate base scenario has MSD workflow step - self._validate_workflow() + validate_template_workflow(self._base_scenario_text) - # Create merger and validate placeholders self._merger = HypothesisMerger(self._base_scenario_text, self._template) placeholder_errors = self._merger.validate_placeholders() if placeholder_errors: @@ -121,53 +116,49 @@ def __init__(self, config: RunConfig) -> None: else: raise ValueError(f"Unknown generation_mode: {self._generation_mode}") - # Set up experiment log and results dir - self._log = ExperimentLog( - self._project_dir, direction=self._objective.direction + self._log = ExperimentLog(self._project_dir) + inputs = { + name: sha256_file(self._project_dir / name) + for name in ( + "program.md", + "hypothesis_template.yml", + "objective.yml", + "base_scenario.yml", + "config.yml", + ) + if (self._project_dir / name).exists() + } + for name, obj in ( + ("generator", self._generator_fn), + ("config_class", self._config_class_ref), + ): + if obj is not None: + source = inspect.getsourcefile(obj) + if source is None: + raise ValueError(f"Cannot fingerprint {name}") + inputs[name] = sha256_file(Path(source)) + identity = fingerprint( + {"inputs": inputs, "seed": config.seed, "packages": package_versions()} ) + previous = self._log.config_hash() + if previous != identity and (previous is not None or self._log.load()): + raise ValueError( + "Research inputs or dependencies changed, or the log has no provenance. Use a new project directory." + ) + if previous is None: + self._log.write_config_hash(identity) self._results_dir = self._project_dir / "results" self._results_dir.mkdir(parents=True, exist_ok=True) - # Research memory memory_dir = self._project_dir / "memory" memory_dir.mkdir(parents=True, exist_ok=True) self._memory = ResearchMemory(memory_dir) self._memory.load() - # State for tracking best self._best_entry: Optional[LogEntry] = None self._experiments_run = 0 self._successful_since_reflection = 0 - def _validate_workflow(self) -> None: - """Validate that the base scenario has a MaximumSupportedDemand workflow step.""" - scenario_data = yaml.safe_load(self._base_scenario_text) - workflow = scenario_data.get("workflow", []) - - has_msd = False - if isinstance(workflow, list): - for step in workflow: - if ( - isinstance(step, dict) - and step.get("type") == "MaximumSupportedDemand" - ): - has_msd = True - break - elif isinstance(workflow, dict): - for _step_name, step_data in workflow.items(): - if ( - isinstance(step_data, dict) - and step_data.get("type") == "MaximumSupportedDemand" - ): - has_msd = True - break - - if not has_msd: - raise ValueError( - "Base scenario must have a MaximumSupportedDemand workflow step. " - "No step with type 'MaximumSupportedDemand' found in workflow." - ) - def _load_generator(self): """Dynamically load the generator function from the configured module.""" import importlib @@ -190,26 +181,7 @@ def _generate_programmatic(self, hypothesis: Hypothesis) -> dict: assert self._generator_fn is not None, "generator_fn not loaded" params = hypothesis.params if self._config_class_ref is not None: - import dataclasses - - field_types = { - f.name: f.type for f in dataclasses.fields(self._config_class_ref) - } - config_kwargs = {} - for key, value in params.items(): - # Handle layout tuples encoded as strings (e.g. "16x4_16x4") - if key.startswith("layout_") and isinstance(value, str): - parts = value.replace("x", ",").replace("_", ",").split(",") - value = tuple(int(p) for p in parts) - # Coerce string enum values to the target field type - elif isinstance(value, str) and key in field_types: - ft = field_types[key] - if ft == "int" or ft is int: - value = int(value) - elif ft == "float" or ft is float: - value = float(value) - config_kwargs[key] = value - config = self._config_class_ref(**config_kwargs) + config = self._config_class_ref(**params) return self._generator_fn(config) else: return self._generator_fn(**params) @@ -220,16 +192,17 @@ def status(self) -> str: @property def ngraph_call_count(self) -> int: - """Number of actual ngraph subprocess invocations (for testing).""" + """Number of uncached simulation attempts.""" return self._ngraph_call_count def run(self) -> None: """Execute the main research loop.""" self._status = "running" - # Load existing history and re-derive best entries = self._log.load() self._best_entry = self._log.best_entry() + if self._best_entry is not None: + self._write_best_hypothesis(self._best_entry) if entries: logger.info("Resuming from experiment %d", len(entries)) @@ -241,16 +214,12 @@ def run(self) -> None: ): self._run_reflection(entries) - # Build set of known param hashes for deduplication seen_hashes: dict[str, LogEntry] = {} for entry in entries: - if entry.params_hash: + if entry.params_hash and entry.status in {"success", "cached"}: seen_hashes[entry.params_hash] = entry - # Main loop while self._experiments_run < self._config.max_experiments: - # Check circuit breaker from log tail - # Reload entries each iteration to get fresh consecutive_failures count consecutive_fails = self._log.consecutive_failures() if consecutive_fails >= self._config.circuit_breaker_threshold: self._status = "circuit_breaker" @@ -260,10 +229,8 @@ def run(self) -> None: ) return - # Determine experiment ID exp_id = self._log.next_experiment_id() - # Build prompt history_text = self._log.windowed_history() system_prompt, user_prompt = build_hypothesis_prompt( program_md=self._program_md, @@ -273,7 +240,6 @@ def run(self) -> None: best=self._best_entry, ) - # Call LLM backend try: response = self._config.backend.generate(user_prompt, system_prompt) except Exception as exc: @@ -285,7 +251,6 @@ def run(self) -> None: self._experiments_run += 1 continue - # Parse response try: params = parse_hypothesis_response(response) except ParseError as exc: @@ -297,7 +262,6 @@ def run(self) -> None: self._experiments_run += 1 continue - # Create hypothesis and validate hypothesis = Hypothesis(params, self._template) validation_errors = hypothesis.validate() if validation_errors: @@ -306,26 +270,25 @@ def run(self) -> None: status="invalid_hypothesis", error_detail="; ".join(validation_errors), params=params, - params_hash=hypothesis.params_hash, ) self._experiments_run += 1 continue - # Deduplication check - if hypothesis.params_hash in seen_hashes: + if hypothesis.params_hash in seen_hashes and seen_hashes[ + hypothesis.params_hash + ].status in {"success", "cached"}: cached_entry = seen_hashes[hypothesis.params_hash] self._log_cached_entry(exp_id, hypothesis, cached_entry) self._experiments_run += 1 continue - # Generate scenario try: if self._generation_mode == "template": assert self._merger is not None scenario_dict = self._merger.merge(hypothesis) - else: # programmatic + else: scenario_dict = self._generate_programmatic(hypothesis) - except (ValueError, Exception) as exc: + except Exception as exc: self._log_error_entry( exp_id=exp_id, status="generation_error", @@ -336,30 +299,29 @@ def run(self) -> None: self._experiments_run += 1 continue - # Inject seed scenario_dict["seed"] = self._config.seed - # Write scenario to results/exp_NNN/scenario.yml exp_dir = self._results_dir / exp_id exp_dir.mkdir(parents=True, exist_ok=True) scenario_path = exp_dir / "scenario.yml" - with open(scenario_path, "w") as f: - yaml.dump(scenario_dict, f, default_flow_style=False) + write_text_atomic(scenario_path, yaml.safe_dump(scenario_dict)) - # Execute ngraph start_time = time.monotonic() - run_result = self._execute_ngraph(scenario_path, exp_dir) + self._ngraph_call_count += 1 + run_result = run_simulation(scenario_path, timeout=self._config.timeout_s) execution_time = time.monotonic() - start_time - if run_result["status"] != "success": + if not run_result.success: entry = LogEntry( exp_id=exp_id, params=hypothesis.params, params_hash=hypothesis.params_hash, - status=run_result["status"], + status="timeout_no_result" + if run_result.status == "timeout" + else "crash", metrics=None, objective_score=None, - error_detail=run_result.get("error_detail"), + error_detail=run_result.error, execution_time_s=round(execution_time, 2), seed=self._config.seed, timestamp=_now_iso(), @@ -369,30 +331,8 @@ def run(self) -> None: self._experiments_run += 1 continue - # Load results and evaluate - results_path = exp_dir / "scenario.results.json" - try: - with open(results_path) as f: - results_data = json.load(f) - except (FileNotFoundError, json.JSONDecodeError) as exc: - entry = LogEntry( - exp_id=exp_id, - params=hypothesis.params, - params_hash=hypothesis.params_hash, - status="crash", - metrics=None, - objective_score=None, - error_detail=f"Failed to load results: {exc}", - execution_time_s=round(execution_time, 2), - seed=self._config.seed, - timestamp=_now_iso(), - ) - self._log.append(entry) - seen_hashes[hypothesis.params_hash] = entry - self._experiments_run += 1 - continue + results_data = run_result.results - # Evaluate with objective function try: obj_result = self._objective.evaluate(results_data) except (KeyError, ValueError) as exc: @@ -416,7 +356,7 @@ def run(self) -> None: # Compute BAC and merge into metrics (non-fatal on failure) all_metrics = dict(obj_result.all_metrics) try: - from metrics.bac import compute_bac + from netlab.metrics.bac import compute_bac # Try tm_combined first (per-mode workflow), fall back to tm_placement step = ( @@ -425,18 +365,16 @@ def run(self) -> None: else "tm_placement" ) bac = compute_bac(results_data, step_name=step) - all_metrics["bac_auc"] = round(bac.auc_normalized, 6) - if 0.99 in bac.quantiles_pct: - all_metrics["bac_p99"] = round(bac.quantiles_pct[0.99], 6) - except Exception: - pass # BAC extraction is best-effort + all_metrics["bac_auc"] = bac.auc_normalized + all_metrics["bw_p99_pct"] = bac.bw_at_probability_pct[99.0] + except (ValueError, KeyError) as exc: + logger.warning("BAC unavailable: %s", exc) - # Log success entry = LogEntry( exp_id=exp_id, params=hypothesis.params, params_hash=hypothesis.params_hash, - status="success", + status="success" if obj_result.status == "feasible" else "infeasible", metrics=all_metrics, objective_score=obj_result.score, error_detail=None, @@ -447,20 +385,11 @@ def run(self) -> None: self._log.append(entry) seen_hashes[hypothesis.params_hash] = entry - # Update best prev_best = self._best_entry - if ( + if obj_result.status == "feasible" and ( self._best_entry is None - or ( - self._objective.direction == "maximize" - and obj_result.score - > (self._best_entry.objective_score or float("-inf")) - ) - or ( - self._objective.direction == "minimize" - and obj_result.score - < (self._best_entry.objective_score or float("inf")) - ) + or self._best_entry.objective_score is None + or obj_result.score > self._best_entry.objective_score ): self._best_entry = entry self._write_best_hypothesis(entry) @@ -468,7 +397,6 @@ def run(self) -> None: self._experiments_run += 1 self._successful_since_reflection += 1 - # Trigger reflection on interval or when a previous best is superseded new_best_superseded = prev_best is not None and self._best_entry is entry if ( new_best_superseded @@ -483,7 +411,6 @@ def run(self) -> None: def _run_reflection(self, all_entries: list[LogEntry]) -> None: """Run a reflection cycle. Non-fatal: logs warnings on any failure.""" try: - # Use last reflection_interval entries as recent context recent = all_entries[-self._config.reflection_interval :] system_prompt, user_prompt = build_reflection_prompt( recent_entries=recent, @@ -499,51 +426,6 @@ def _run_reflection(self, all_entries: list[LogEntry]) -> None: except Exception as exc: logger.warning("Reflection failed (non-fatal): %s", exc) - def _execute_ngraph(self, scenario_path: Path, exp_dir: Path) -> dict: - """Run ngraph inspect + run as subprocess. Returns status dict.""" - ngraph_bin = self._ngraph_bin - - # Run inspect first - try: - inspect_result = subprocess.run( - [ngraph_bin, "inspect", str(scenario_path)], - capture_output=True, - text=True, - timeout=self._config.timeout_s, - ) - if inspect_result.returncode != 0: - stderr = inspect_result.stderr - if stderr and len(stderr) > 500: - stderr = stderr[-500:] - return { - "status": "crash", - "error_detail": f"ngraph inspect failed: {stderr}", - } - except subprocess.TimeoutExpired: - return {"status": "timeout_no_result"} - - # Run the scenario - self._ngraph_call_count += 1 - try: - run_result = subprocess.run( - [ngraph_bin, "run", str(scenario_path), "-o", str(exp_dir)], - capture_output=True, - text=True, - timeout=self._config.timeout_s, - ) - if run_result.returncode != 0: - stderr = run_result.stderr - if stderr and len(stderr) > 500: - stderr = stderr[-500:] - return { - "status": "crash", - "error_detail": f"ngraph run failed: {stderr}", - } - except subprocess.TimeoutExpired: - return {"status": "timeout_no_result"} - - return {"status": "success"} - def _log_error_entry( self, exp_id: str, @@ -597,8 +479,9 @@ def _write_best_hypothesis(self, entry: LogEntry) -> None: "metrics": entry.metrics, } best_path = self._project_dir / "best_hypothesis.yml" - with open(best_path, "w") as f: - yaml.dump(best_data, f, default_flow_style=False) + write_text_atomic( + best_path, yaml.safe_dump(best_data, default_flow_style=False) + ) def _now_iso() -> str: diff --git a/netlab/autoresearch/scenario_generator.py b/netlab/autoresearch/scenario_generator.py index bf5c3e6..fbfaef8 100644 --- a/netlab/autoresearch/scenario_generator.py +++ b/netlab/autoresearch/scenario_generator.py @@ -1,288 +1,26 @@ -"""Generate DC-BB scenarios with NetGraph expansion and mesh patterns. - -The configuration defines device grids, mesh groups, failure policies, and -workflow settings. Expected expanded counts are available for validation. -""" +"""Build DC-BB scenario dictionaries from grid, mesh, and failure settings.""" from __future__ import annotations -import math -from dataclasses import dataclass - from netlab.autoresearch.scenario_validation import ( ExpectedCounts, compute_expected_counts, ) -# --------------------------------------------------------------------------- -# Configuration -# --------------------------------------------------------------------------- - - -@dataclass -class DcBbScenarioConfig: - """Configuration for DC-BB scenario generation.""" - - # ABC1 (DCType1) parameters - abc1_hgrids: int = 16 - abc1_fadu_per_hgrid: int = 36 - abc1_planes: int = 8 - abc1_ssw_per_plane: int = 36 - abc1_pods_per_building: int = 96 - abc1_buildings: int = 5 - abc1_rsw_per_pod: int = 48 - - # XYZ1 (DCTypeF) parameters - xyz1_xsw_planes: int = 24 - xyz1_xsw_per_plane: int = 64 - xyz1_ssw_per_megapod: int = 24 - xyz1_fsw_per_megapod: int = 32 - xyz1_megapods: int = 72 - - # Backbone parameters - bb_planes: int = 64 - bb_devices_per_plane: int = 4 - - # Link capacities - dc_bb_link_capacity: float = 400.0 - bb_bb_link_capacity: float = 800.0 - - # DC-BB interconnect parameters (what autoresearch varies) - g_abc1: int = 64 - g_xyz1: int = 64 - layout_abc1: tuple = (16, 4, 16, 4) - layout_xyz1: tuple = (16, 4, 16, 4) - - # Workflow parameters - seed: int = 42 - msd_resolution: float = 0.01 - failure_iterations: int = 200 - - -# --------------------------------------------------------------------------- -# Mesh group assignments -# --------------------------------------------------------------------------- - - -def _compute_mesh_groups( - dc_rows: int, - dc_cols: int, - bb_rows: int, - bb_cols: int, - g: int, - layout: tuple[int, int, int, int], -) -> list[tuple[list[tuple[int, int]], list[tuple[int, int]]]]: - """Compute mesh group assignments for DC and BB device grids. - - Partitions a dc_rows x dc_cols grid of DC devices and a - bb_rows x bb_cols grid of BB devices into G groups. Each group - is a contiguous rectangular block in both the DC and BB grids. - """ - gr_dc, gc_dc, gr_bb, gc_bb = layout - - if gr_dc * gc_dc != g: - raise ValueError( - f"DC layout {gr_dc}x{gc_dc}={gr_dc * gc_dc} does not match G={g}" - ) - if gr_bb * gc_bb != g: - raise ValueError( - f"BB layout {gr_bb}x{gc_bb}={gr_bb * gc_bb} does not match G={g}" - ) - if dc_rows % gr_dc != 0: - raise ValueError(f"dc_rows={dc_rows} not divisible by gr_dc={gr_dc}") - if dc_cols % gc_dc != 0: - raise ValueError(f"dc_cols={dc_cols} not divisible by gc_dc={gc_dc}") - if bb_rows % gr_bb != 0: - raise ValueError(f"bb_rows={bb_rows} not divisible by gr_bb={gr_bb}") - if bb_cols % gc_bb != 0: - raise ValueError(f"bb_cols={bb_cols} not divisible by gc_bb={gc_bb}") - - dc_block_rows = dc_rows // gr_dc - dc_block_cols = dc_cols // gc_dc - bb_block_rows = bb_rows // gr_bb - bb_block_cols = bb_cols // gc_bb - - groups: list[tuple[list[tuple[int, int]], list[tuple[int, int]]]] = [] - for group_id in range(g): - gi = group_id // gc_dc - gj = group_id % gc_dc - dc_devs: list[tuple[int, int]] = [] - for r in range(gi * dc_block_rows, (gi + 1) * dc_block_rows): - for c in range(gj * dc_block_cols, (gj + 1) * dc_block_cols): - dc_devs.append((r, c)) - - bi = group_id // gc_bb - bj = group_id % gc_bb - bb_devs: list[tuple[int, int]] = [] - for r in range(bi * bb_block_rows, (bi + 1) * bb_block_rows): - for c in range(bj * bb_block_cols, (bj + 1) * bb_block_cols): - bb_devs.append((r, c)) - - groups.append((dc_devs, bb_devs)) - - return groups - - -# --------------------------------------------------------------------------- -# G-value and layout utilities -# --------------------------------------------------------------------------- - - -def get_viable_g_values( - dc_total: int, bb_total: int, dc_ports: int, bb_ports: int -) -> list[int]: - """Return sorted list of viable G values given device counts and port limits.""" - g_common = math.gcd(dc_total, bb_total) - viable: list[int] = [] - for candidate in _divisors(g_common): - k_dc = bb_total // candidate - k_bb = dc_total // candidate - if k_dc <= dc_ports and k_bb <= bb_ports: - viable.append(candidate) - return sorted(viable) - - -def _divisors(n: int) -> list[int]: - """Return all positive divisors of n in ascending order.""" - if n <= 0: - return [] - divs: list[int] = [] - for i in range(1, int(math.isqrt(n)) + 1): - if n % i == 0: - divs.append(i) - if i != n // i: - divs.append(n // i) - return sorted(divs) - - -def get_valid_layouts( - g: int, - dc_rows: int, - dc_cols: int, - bb_rows: int, - bb_cols: int, -) -> list[tuple[int, int, int, int]]: - """Return all valid (gr_dc, gc_dc, gr_bb, gc_bb) factorizations for G.""" - dc_facts = _factorizations(g, dc_rows, dc_cols) - bb_facts = _factorizations(g, bb_rows, bb_cols) - layouts: list[tuple[int, int, int, int]] = [] - for gr_dc, gc_dc in dc_facts: - for gr_bb, gc_bb in bb_facts: - layouts.append((gr_dc, gc_dc, gr_bb, gc_bb)) - return sorted(layouts) - - -def _factorizations(g: int, rows: int, cols: int) -> list[tuple[int, int]]: - """Return all (gr, gc) where gr*gc == g, rows%gr == 0, cols%gc == 0.""" - results: list[tuple[int, int]] = [] - for gr in _divisors(g): - gc = g // gr - if rows % gr == 0 and cols % gc == 0: - results.append((gr, gc)) - return results - - -def validate_layout( - g: int, - layout: tuple[int, int, int, int], - dc_rows: int, - dc_cols: int, - bb_rows: int, - bb_cols: int, -) -> bool: - """Check if a layout is valid for the given dimensions.""" - gr_dc, gc_dc, gr_bb, gc_bb = layout - return ( - gr_dc * gc_dc == g - and gr_bb * gc_bb == g - and dc_rows % gr_dc == 0 - and dc_cols % gc_dc == 0 - and bb_rows % gr_bb == 0 - and bb_cols % gc_bb == 0 - ) - - -# --------------------------------------------------------------------------- -# Config validation -# --------------------------------------------------------------------------- - - -def validate_config(config: DcBbScenarioConfig) -> list[str]: - """Validate a DcBbScenarioConfig for consistency and feasibility.""" - errors: list[str] = [] - bb_total = config.bb_planes * config.bb_devices_per_plane - - abc1_dc_total = config.abc1_hgrids * config.abc1_fadu_per_hgrid - viable_g_abc1 = get_viable_g_values( - abc1_dc_total, bb_total, 16, config.abc1_fadu_per_hgrid - ) - if config.g_abc1 not in viable_g_abc1: - errors.append( - f"g_abc1={config.g_abc1} is not viable; viable values: {viable_g_abc1}" - ) - - xyz1_dc_total = config.xyz1_xsw_per_plane * config.xyz1_xsw_planes - viable_g_xyz1 = get_viable_g_values( - xyz1_dc_total, bb_total, 4, config.xyz1_xsw_planes - ) - if config.g_xyz1 not in viable_g_xyz1: - errors.append( - f"g_xyz1={config.g_xyz1} is not viable; viable values: {viable_g_xyz1}" - ) - - if not validate_layout( - config.g_abc1, - config.layout_abc1, - config.abc1_hgrids, - config.abc1_fadu_per_hgrid, - config.bb_planes, - config.bb_devices_per_plane, - ): - errors.append( - f"layout_abc1={config.layout_abc1} is not valid for g_abc1={config.g_abc1}, " - f"dc={config.abc1_hgrids}x{config.abc1_fadu_per_hgrid}, " - f"bb={config.bb_planes}x{config.bb_devices_per_plane}" - ) - - if not validate_layout( - config.g_xyz1, - config.layout_xyz1, - config.xyz1_xsw_per_plane, - config.xyz1_xsw_planes, - config.bb_planes, - config.bb_devices_per_plane, - ): - errors.append( - f"layout_xyz1={config.layout_xyz1} is not valid for g_xyz1={config.g_xyz1}, " - f"dc={config.xyz1_xsw_per_plane}x{config.xyz1_xsw_planes}, " - f"bb={config.bb_planes}x{config.bb_devices_per_plane}" - ) - - k_fadu = bb_total // config.g_abc1 if config.g_abc1 > 0 else bb_total - if k_fadu > 16: - errors.append( - f"Port constraint violated: k_fadu={k_fadu} > 16 (G_abc1={config.g_abc1})" - ) - k_xsw = bb_total // config.g_xyz1 if config.g_xyz1 > 0 else bb_total - if k_xsw > 4: - errors.append( - f"Port constraint violated: k_xsw={k_xsw} > 4 (G_xyz1={config.g_xyz1})" - ) - - return errors - - -# --------------------------------------------------------------------------- -# Node builder (DSL-idiomatic: brackets for Clos, explicit for mesh groups) -# --------------------------------------------------------------------------- +from .dcbb_config import DcBbScenarioConfig, _compute_mesh_groups, validate_config +from .dcbb_failures import ( + FAILURE_MODE_NAMES, + _build_failure_policy, + _build_link_rules, + _build_risk_groups, +) def _build_nodes(config: DcBbScenarioConfig) -> dict[str, dict]: - """Build network.nodes dict. + """Build node definitions with mesh groups encoded in device paths. - Uses '/' separators as word boundaries (pl1/ cannot match pl10/). - Internal Clos nodes use bracket expansion. Mesh-group-dependent - nodes (FADU, XSW, BB) created explicitly with mg{G} in path. + Slashes prevent plane-prefix collisions (``pl1/`` cannot match ``pl10/``). + Clos nodes use bracket expansion; FADU, XSW, and BB nodes are explicit. """ nodes: dict[str, dict] = {} @@ -376,11 +114,6 @@ def _build_nodes(config: DcBbScenarioConfig) -> dict[str, dict]: return nodes -# --------------------------------------------------------------------------- -# Internal Clos links (DSL expand + mesh patterns) -# --------------------------------------------------------------------------- - - def _build_internal_links(config: DcBbScenarioConfig) -> list[dict]: """Build internal Clos links with expansion and mesh patterns.""" links: list[dict] = [] @@ -471,11 +204,6 @@ def _build_internal_links(config: DcBbScenarioConfig) -> list[dict]: return links -# --------------------------------------------------------------------------- -# DC-BB mesh group links (DSL expand + mesh per group) -# --------------------------------------------------------------------------- - - def _build_dc_bb_links(config: DcBbScenarioConfig) -> list[dict]: """Build DC-BB links: one expand+mesh definition per mesh group.""" links: list[dict] = [] @@ -509,11 +237,6 @@ def _build_dc_bb_links(config: DcBbScenarioConfig) -> list[dict]: return links -# --------------------------------------------------------------------------- -# BB cross-site links (dual paths, per-plane mesh) -# --------------------------------------------------------------------------- - - def _build_bb_cross_site_links(config: DcBbScenarioConfig) -> list[dict]: """Build BB cross-site links: per-plane mesh, dual paths via attrs tag.""" links: list[dict] = [] @@ -535,299 +258,6 @@ def _build_bb_cross_site_links(config: DcBbScenarioConfig) -> list[dict]: return links -# --------------------------------------------------------------------------- -# Link rules for risk group assignment -# --------------------------------------------------------------------------- - - -def _build_link_rules(config: DcBbScenarioConfig) -> list[dict]: - """Build link_rules for risk group assignment on DC-BB and cross-site links.""" - rules: list[dict] = [] - ppg = 4 - - # DC-BB risk groups - for side in ["abc1", "xyz1"]: - dc_prefix = "abc1/fadu/" if side == "abc1" else "xyz1/xsw/" - for pl in range(1, config.bb_planes + 1): - pg = (pl - 1) // ppg + 1 - for dv in range(1, config.bb_devices_per_plane + 1): - rules.append( - { - "source": dc_prefix, - "target": f"bb/{side}/.*/pl{pl}/dv{dv}$", - "risk_groups": [ - f"plane_{pl}_site_{side}", - f"plane_group_{pg}", - f"pg_{pg}_idx_{dv}_{side}", - ], - } - ) - - # BB cross-site risk groups - for pl in range(1, config.bb_planes + 1): - pg = (pl - 1) // ppg + 1 - for da in range(1, config.bb_devices_per_plane + 1): - for dx in range(1, config.bb_devices_per_plane + 1): - for path_label in ["a", "b"]: - rules.append( - { - "source": f"bb/abc1/.*/pl{pl}/dv{da}$", - "target": f"bb/xyz1/.*/pl{pl}/dv{dx}$", - "link_match": { - "conditions": [ - {"attr": "path", "op": "==", "value": path_label} - ], - }, - "risk_groups": [ - f"path_{path_label}", - f"plane_{pl}_site_abc1", - f"plane_{pl}_site_xyz1", - f"plane_group_{pg}", - f"pg_{pg}_idx_{da}_abc1", - f"pg_{pg}_idx_{dx}_xyz1", - ], - } - ) - - return rules - - -# --------------------------------------------------------------------------- -# Risk groups -# --------------------------------------------------------------------------- - - -def _build_risk_groups(config: DcBbScenarioConfig) -> list[dict]: - """Define long-haul path, plane, plane-group, and device-index risk groups.""" - groups: list[dict] = [] - - groups.append({"name": "path_a", "attrs": {"type": "long_haul_path"}}) - groups.append({"name": "path_b", "attrs": {"type": "long_haul_path"}}) - - for g in range(1, config.bb_planes // 4 + 1): - groups.append( - { - "name": f"plane_group_{g}", - "attrs": { - "type": "plane_group", - "planes": list(range((g - 1) * 4 + 1, g * 4 + 1)), - }, - } - ) - - for pl in range(1, config.bb_planes + 1): - for site in ["abc1", "xyz1"]: - groups.append( - { - "name": f"plane_{pl}_site_{site}", - "attrs": {"type": "plane_site", "plane": pl, "site": site}, - } - ) - - for g in range(1, config.bb_planes // 4 + 1): - for d in range(1, config.bb_devices_per_plane + 1): - for site in ["abc1", "xyz1"]: - groups.append( - { - "name": f"pg_{g}_idx_{d}_{site}", - "attrs": {"type": "device_index_across_planes"}, - } - ) - - return groups - - -# --------------------------------------------------------------------------- -# Failure policy -# --------------------------------------------------------------------------- - - -# Condition shorthands -def _RG(typ: str) -> list[dict[str, str]]: - return [{"attr": "type", "op": "==", "value": typ}] - - -_BB = [{"attr": "role", "op": "==", "value": "bb"}] -_DCBB = [{"attr": "link_type", "op": "==", "value": "dc_bb"}] -_XSITE = [{"attr": "link_type", "op": "==", "value": "bb_cross_site"}] - -# Failure modes: (name, rule_dict) -# Three categories: -# 1. Correlated (risk-group-based) — shared infrastructure events -# 2. Fixed-count — choose N devices/groups per iteration -# 3. Availability-based — independent per-entity probability -_FAILURE_MODES = [ - # --- Correlated single failures --- - ( - "lh_path", - { - "scope": "risk_group", - "mode": "choice", - "count": 1, - "match": {"conditions": _RG("long_haul_path")}, - }, - ), - ( - "plane_group", - { - "scope": "risk_group", - "mode": "choice", - "count": 1, - "match": {"conditions": _RG("plane_group")}, - }, - ), - ( - "plane_site", - { - "scope": "risk_group", - "mode": "choice", - "count": 1, - "match": {"conditions": _RG("plane_site")}, - }, - ), - ( - "dev_index", - { - "scope": "risk_group", - "mode": "choice", - "count": 1, - "match": {"conditions": _RG("device_index_across_planes")}, - }, - ), - # --- Correlated scaled failures (stress test) --- - ( - "2x_plane_site", - { - "scope": "risk_group", - "mode": "choice", - "count": 2, - "match": {"conditions": _RG("plane_site")}, - }, - ), - ( - "4x_plane_site", - { - "scope": "risk_group", - "mode": "choice", - "count": 4, - "match": {"conditions": _RG("plane_site")}, - }, - ), - ( - "2x_plane_group", - { - "scope": "risk_group", - "mode": "choice", - "count": 2, - "match": {"conditions": _RG("plane_group")}, - }, - ), - ( - "2x_dev_index", - { - "scope": "risk_group", - "mode": "choice", - "count": 2, - "match": {"conditions": _RG("device_index_across_planes")}, - }, - ), - # --- Fixed-count BB device failures --- - ( - "1x_bb", - {"scope": "node", "mode": "choice", "count": 1, "match": {"conditions": _BB}}, - ), - ( - "2x_bb", - {"scope": "node", "mode": "choice", "count": 2, "match": {"conditions": _BB}}, - ), - ( - "4x_bb", - {"scope": "node", "mode": "choice", "count": 4, "match": {"conditions": _BB}}, - ), - ( - "8x_bb", - {"scope": "node", "mode": "choice", "count": 8, "match": {"conditions": _BB}}, - ), - # --- Availability-based (independent per-entity) --- - ( - "bb_avail_2pct", - { - "scope": "node", - "mode": "random", - "probability": 0.02, - "match": {"conditions": _BB}, - }, - ), - ( - "bb_avail_5pct", - { - "scope": "node", - "mode": "random", - "probability": 0.05, - "match": {"conditions": _BB}, - }, - ), - ( - "bb_avail_10pct", - { - "scope": "node", - "mode": "random", - "probability": 0.10, - "match": {"conditions": _BB}, - }, - ), - ( - "dcbb_avail", - { - "scope": "link", - "mode": "random", - "probability": 0.01, - "match": {"conditions": _DCBB}, - }, - ), - ( - "xsite_avail", - { - "scope": "link", - "mode": "random", - "probability": 0.01, - "match": {"conditions": _XSITE}, - }, - ), -] - -FAILURE_MODE_NAMES = [name for name, _ in _FAILURE_MODES] - - -def _build_failure_policy(config: DcBbScenarioConfig) -> dict: - """Build failure policies: one per mode + one combined (equal weight). - - Each single-mode policy runs that failure type exclusively. - The combined policy samples all modes with equal probability. - """ - policies: dict = {} - - for name, rule in _FAILURE_MODES: - policies[f"fm_{name}"] = { - "modes": [{"weight": 1.0, "rules": [dict(rule)]}], - } - - w = 1.0 / len(_FAILURE_MODES) - policies["fm_combined"] = { - "attrs": { - "description": f"All {len(_FAILURE_MODES)} failure modes, equal weight" - }, - "modes": [{"weight": w, "rules": [dict(rule)]} for _, rule in _FAILURE_MODES], - } - - return policies - - -# --------------------------------------------------------------------------- -# Demands (with $ anchors) -# --------------------------------------------------------------------------- - - def _build_demands(config: DcBbScenarioConfig) -> dict: """Build bidirectional combine-mode demands between ABC1 and XYZ1 RSWs.""" volume = 100_000.0 @@ -851,11 +281,6 @@ def _build_demands(config: DcBbScenarioConfig) -> dict: } -# --------------------------------------------------------------------------- -# Workflow -# --------------------------------------------------------------------------- - - def _build_workflow(config: DcBbScenarioConfig) -> list[dict]: """Build MSD, one placement step per failure mode, and a combined placement step.""" steps: list[dict] = [ @@ -868,7 +293,6 @@ def _build_workflow(config: DcBbScenarioConfig) -> list[dict]: }, ] - # One TMP per single-mode policy for name in FAILURE_MODE_NAMES: steps.append( { @@ -884,7 +308,6 @@ def _build_workflow(config: DcBbScenarioConfig) -> list[dict]: } ) - # Combined TMP steps.append( { "type": "TrafficMatrixPlacement", @@ -902,11 +325,6 @@ def _build_workflow(config: DcBbScenarioConfig) -> list[dict]: return steps -# --------------------------------------------------------------------------- -# Main generator -# --------------------------------------------------------------------------- - - def generate_scenario(config: DcBbScenarioConfig) -> dict: """Validate the configuration and generate a NetGraph scenario dictionary. @@ -937,10 +355,7 @@ def generate_scenario(config: DcBbScenarioConfig) -> dict: def generate_scenario_with_validation( config: DcBbScenarioConfig, ) -> tuple[dict, ExpectedCounts]: - """Generate scenario and return expected counts for validation. - - Use this when you need to validate the expanded graph. - """ + """Return a scenario and the expected counts for its expanded network.""" scenario = generate_scenario(config) expected = compute_expected_counts( abc1_pods=config.abc1_pods_per_building, @@ -958,3 +373,13 @@ def generate_scenario_with_validation( g_xyz1=config.g_xyz1, ) return scenario, expected + + +def generate_from_parameters(**params) -> dict: + """DC-BB research adapter: decode the documented grid-factorization strings.""" + for name in ("layout_abc1", "layout_xyz1"): + if name in params and isinstance(params[name], str): + params[name] = tuple( + int(part) for part in params[name].replace("x", "_").split("_") + ) + return generate_scenario(DcBbScenarioConfig(**params)) diff --git a/netlab/autoresearch/scenario_validation.py b/netlab/autoresearch/scenario_validation.py index 6a77fa6..98543b6 100644 --- a/netlab/autoresearch/scenario_validation.py +++ b/netlab/autoresearch/scenario_validation.py @@ -1,24 +1,15 @@ -"""Post-expansion validation for generated DC-BB scenarios. - -Validates that the expanded network (after ngraph DSL processing) -matches the expected structure derived from config parameters. - -Two validation levels: - Level 1: Parse ngraph inspect output for total node/link counts. - Level 2: Load via Scenario.from_yaml(), verify per-layer counts - and mesh-group membership. -""" +"""Check expanded DC-BB node counts, link counts, and layer membership.""" from __future__ import annotations import re -import subprocess from collections import Counter from dataclasses import dataclass from pathlib import Path -from typing import Any, Optional +from typing import Optional -from netlab.runtime import require_executable +from ngraph.model.network import Network +from ngraph.scenario import Scenario @dataclass @@ -70,10 +61,7 @@ def compute_expected_counts( g_abc1: int = 64, g_xyz1: int = 64, ) -> ExpectedCounts: - """Compute expected post-expansion counts from config parameters. - - These are the counts ngraph inspect should report after DSL expansion. - """ + """Calculate expected node and link counts from the grid dimensions.""" # Nodes abc1_rsw = abc1_pods abc1_fsw = abc1_pods * abc1_planes @@ -100,17 +88,25 @@ def compute_expected_counts( # Links bb_total = bb_planes * bb_devices_per_plane - rsw_fsw_abc1 = abc1_pods * abc1_planes # each RSW → 8 FSW - fsw_ssw_abc1 = abc1_pods * abc1_planes * abc1_ssw_per_plane # each FSW → 36 SSW - ssw_fadu = abc1_planes * abc1_ssw_per_plane * abc1_hgrids # each SSW → 16 FADU + rsw_fsw_abc1 = abc1_pods * abc1_planes # One FSW per plane for each RSW. + fsw_ssw_abc1 = ( + abc1_pods * abc1_planes * abc1_ssw_per_plane + ) # Each FSW connects to every SSW in its plane. + ssw_fadu = ( + abc1_planes * abc1_ssw_per_plane * abc1_hgrids + ) # One FADU per horizontal grid for each SSW. dc_bb_abc1 = abc1_fadu * (bb_total // g_abc1) # each FADU → k_dc BB devices bb_cross_site = ( bb_planes * bb_devices_per_plane**2 * 2 - ) # 4×4 mesh × 2 paths per plane + ) # Two full meshes between sites per plane. dc_bb_xyz1 = xyz1_xsw * (bb_total // g_xyz1) # each XSW → k_dc BB devices - ssw_xsw = xyz1_ssw_per_megapod * xyz1_xsw_per_plane # each SSW → 64 XSW - fsw_ssw_xyz1 = xyz1_fsw_per_megapod * xyz1_ssw_per_megapod # each FSW → 24 SSW - rsw_fsw_xyz1 = xyz1_fsw_per_megapod # 1 RSW → 32 FSW + ssw_xsw = ( + xyz1_ssw_per_megapod * xyz1_xsw_per_plane + ) # Each SSW connects to every XSW in its plane. + fsw_ssw_xyz1 = ( + xyz1_fsw_per_megapod * xyz1_ssw_per_megapod + ) # Full mesh between FSW and SSW. + rsw_fsw_xyz1 = xyz1_fsw_per_megapod # One RSW connects to every FSW. links = ( rsw_fsw_abc1 @@ -139,62 +135,14 @@ def compute_expected_counts( ) -def validate_inspect_output(inspect_stdout: str, expected: ExpectedCounts) -> list[str]: - """Parse ngraph inspect output and compare against expected counts. - - Returns list of error messages. Empty = valid. - """ - errors = [] - - # Parse "Total Nodes: N" - m = re.search(r"Total Nodes:\s*([\d,]+)", inspect_stdout) - if m: - actual_nodes = int(m.group(1).replace(",", "")) - if actual_nodes != expected.nodes: - errors.append( - f"Node count mismatch: expected {expected.nodes}, got {actual_nodes}" - ) - else: - errors.append("Could not parse 'Total Nodes' from inspect output") - - # Parse "Total Links: N" - m = re.search(r"Total Links:\s*([\d,]+)", inspect_stdout) - if m: - actual_links = int(m.group(1).replace(",", "")) - if actual_links != expected.links: - errors.append( - f"Link count mismatch: expected {expected.links}, got {actual_links}" - ) - else: - errors.append("Could not parse 'Total Links' from inspect output") - - return errors - - -def validate_scenario_file( - scenario_path: Path, - expected: ExpectedCounts, - ngraph_bin: str | None = None, -) -> list[str]: - """Run ngraph inspect and validate against expected counts. - - Level 1 validation: fast, uses ngraph CLI. - """ - ngraph_bin = ngraph_bin or require_executable("ngraph", env_var="NETLAB_NGRAPH_BIN") - result = subprocess.run( - [ngraph_bin, "inspect", str(scenario_path)], - capture_output=True, - text=True, - timeout=120, - ) - if result.returncode != 0: - return [f"ngraph inspect failed: {result.stderr[-500:]}"] - - return validate_inspect_output(result.stdout, expected) +def validate_scenario_file(scenario_path: Path, expected: ExpectedCounts) -> list[str]: + """Load via NetGraph's API and validate counts and layer membership.""" + network = Scenario.from_yaml(scenario_path.read_text(encoding="utf-8")).network + return validate_expanded_network(network, expected) def validate_expanded_network( - network: Any, + network: Network, expected: ExpectedCounts, ) -> list[str]: """Validate an expanded Network object against expected counts. @@ -204,19 +152,16 @@ def validate_expanded_network( """ errors = [] - # Node count if len(network.nodes) != expected.nodes: errors.append( f"Node count: expected {expected.nodes}, got {len(network.nodes)}" ) - # Link count if len(network.links) != expected.links: errors.append( f"Link count: expected {expected.links}, got {len(network.links)}" ) - # Classify links by layer using source/target node names layer_counts: Counter = Counter() for link in network.links.values(): src, tgt = link.source, link.target @@ -265,7 +210,6 @@ def validate_expanded_network( if actual != exp_count: errors.append(f"Layer {layer_name}: expected {exp_count}, got {actual}") - # Check for unknown link types for key, count in layer_counts.items(): if key.startswith("unknown_"): errors.append(f"Unexpected link type: {key} ({count} links)") @@ -274,18 +218,13 @@ def validate_expanded_network( def validate_no_cross_group_links( - network: Any, + network: Network, ) -> list[str]: - """Verify no DC-BB link connects nodes in different mesh groups. - - Checks that the mesh group encoded in node paths matches between - source and target of every DC-BB link. - """ + """Check that each DC-BB link joins nodes in the same mesh group.""" errors = [] for _link_id, link in network.links.items(): if link.attrs.get("link_type") != "dc_bb": continue - # Extract mesh group from source and target paths src_mg = _extract_mg(link.source) tgt_mg = _extract_mg(link.target) if src_mg is None or tgt_mg is None: diff --git a/netlab/autoresearch/structural_analysis.py b/netlab/autoresearch/structural_analysis.py index f4c0bf2..60c5490 100644 --- a/netlab/autoresearch/structural_analysis.py +++ b/netlab/autoresearch/structural_analysis.py @@ -6,11 +6,11 @@ from __future__ import annotations -import json from dataclasses import asdict, dataclass, field from pathlib import Path -from netlab.autoresearch.scenario_generator import ( +from netlab.artifacts import write_json_atomic +from netlab.autoresearch.dcbb_config import ( DcBbScenarioConfig, get_valid_layouts, get_viable_g_values, @@ -66,8 +66,8 @@ class ConfigResult: k_dc: int # BB connections per DC device fingerprint: FailureFingerprint feasible: bool - rule1_pass: bool # no hanging - rule2_pass: bool # >=75% retention + rule1_pass: bool # Every device keeps a BB connection. + rule2_pass: bool # Meets the configured retention threshold. notation: str # ArxBc <> CrxDc block shape string def to_dict(self) -> dict: @@ -125,24 +125,14 @@ def _compute_failure_fingerprint( if k == 0: return FailureFingerprint() - # plane_site: kills all devices in one plane within the block - # A plane row in the BB grid intersects bb_block_cols devices per block. plane_site_loss = bb_block_cols / k - # plane_group: kills planes_per_group consecutive planes. - # Worst case: the block's planes are entirely within one plane group. - # Affected planes in block = min(bb_block_rows, planes_per_group). pg_affected_planes = min(bb_block_rows, planes_per_group) plane_group_loss = (pg_affected_planes * bb_block_cols) / k - # device_index_across_pg: kills one device index across planes_per_group planes. - # Affected devices in block = min(bb_block_rows, planes_per_group) if the block - # has that device index column, which it does (worst case). - # But only 1 column is affected per device index. dev_idx_affected = min(bb_block_rows, planes_per_group) device_index_loss = dev_idx_affected / k - # single_bb_device: exactly 1 device single_device_loss = 1 / k return FailureFingerprint( @@ -174,24 +164,11 @@ def analyze_side( planes_per_group: int = 4, retention_threshold: float = 0.75, ) -> StructuralAnalysisResult: - """Run structural analysis for one DC side. - - Enumerates all valid (G, layout) combinations, computes failure - fingerprints, and classifies feasibility. - - Args: - side: "abc1" or "xyz1". - dc_rows: DC device grid rows. - dc_cols: DC device grid columns. - bb_rows: BB grid rows (planes). - bb_cols: BB grid columns (devices per plane). - dc_ports: Max BB-facing ports per DC device. - bb_ports: Max DC-facing ports per BB device. - planes_per_group: Planes per plane group (default 4). - retention_threshold: Minimum surviving fraction for Rule 2. - - Returns: - StructuralAnalysisResult with all configs analyzed. + """Enumerate layouts and check per-device connection retention after failures. + + Rows and columns describe the DC and BB grids; port limits constrain mesh + group sizes. ``retention_threshold`` is the minimum surviving connection + fraction for plane-site, device-index, and single-device failures. """ dc_total = dc_rows * dc_cols result = StructuralAnalysisResult( @@ -226,7 +203,7 @@ def analyze_side( rule1 = ( fp.worst_feasibility < 1.0 - ) # no hanging under feasibility-relevant failures + ) # Every device keeps a BB connection. under feasibility-relevant failures rule2 = fp.best_retention >= retention_threshold notation = _block_notation( @@ -286,7 +263,7 @@ def save_results(results: dict[str, StructuralAnalysisResult], path: Path) -> No """Save structural analysis results to JSON.""" data = {side: r.to_dict() for side, r in results.items()} path.parent.mkdir(parents=True, exist_ok=True) - path.write_text(json.dumps(data, indent=2)) + write_json_atomic(path, data) def print_summary(results: dict[str, StructuralAnalysisResult]) -> None: diff --git a/netlab/autoresearch/sweep.py b/netlab/autoresearch/sweep.py index 8ef18f2..9457a5d 100644 --- a/netlab/autoresearch/sweep.py +++ b/netlab/autoresearch/sweep.py @@ -3,10 +3,9 @@ from __future__ import annotations import json -import subprocess import time from collections import defaultdict -from dataclasses import dataclass +from dataclasses import asdict, dataclass from datetime import datetime, timezone from pathlib import Path from typing import Optional @@ -14,24 +13,18 @@ import numpy as np import yaml -from metrics.bac import BacResult, compute_bac -from metrics.common import expand_flow_results -from netlab.autoresearch.scenario_generator import ( - FAILURE_MODE_NAMES, - DcBbScenarioConfig, - generate_scenario_with_validation, - get_valid_layouts, -) -from netlab.autoresearch.scenario_validation import validate_inspect_output +from netlab.artifacts import ensure_run_identity, package_versions, write_text_atomic +from netlab.autoresearch.dcbb_config import DcBbScenarioConfig, get_valid_layouts +from netlab.autoresearch.dcbb_failures import FAILURE_MODE_NAMES +from netlab.autoresearch.scenario_generator import generate_scenario_with_validation +from netlab.autoresearch.scenario_validation import validate_scenario_file from netlab.autoresearch.structural_analysis import ( ConfigResult, run_structural_analysis, ) -from netlab.runtime import require_executable - -# --------------------------------------------------------------------------- -# Result entry — one line per simulation, flat fields, loads into pandas -# --------------------------------------------------------------------------- +from netlab.metrics.bac import BacResult, compute_bac +from netlab.metrics.common import expand_flow_results +from netlab.simulation import run_simulation @dataclass @@ -58,26 +51,11 @@ class ResultEntry: timestamp: str = "" def to_dict(self) -> dict: - d = { - "g_abc1": self.g_abc1, - "g_xyz1": self.g_xyz1, - "layout_abc1": self.layout_abc1, - "layout_xyz1": self.layout_xyz1, - "alpha_star": self.alpha_star, - "bac_combined": self.bac_combined, - "bac_modes": self.bac_modes, - "result_dir": self.result_dir, - "status": self.status, - "error": self.error, - "duration_s": self.duration_s, - "timestamp": self.timestamp, - } - return d + return asdict(self) @classmethod def from_dict(cls, d: dict) -> "ResultEntry": - fields = {k: v for k, v in d.items() if k in cls.__dataclass_fields__} - return cls(**fields) + return cls(**d) @dataclass @@ -89,14 +67,24 @@ class SweepConfig: timeout_s: int = 300 seed: int = 42 - -# --------------------------------------------------------------------------- -# Utilities -# --------------------------------------------------------------------------- - - -def _find_ngraph() -> str: - return require_executable("ngraph", env_var="NETLAB_NGRAPH_BIN") + def __post_init__(self) -> None: + if self.failure_iterations < 1 or self.timeout_s <= 0: + raise ValueError("failure_iterations and timeout_s must be positive") + + +def _prepare_sweep(config: SweepConfig, mode: str) -> None: + path = config.output_dir / "sweep.json" + if not path.exists() and (config.output_dir / "results.jsonl").exists(): + raise ValueError("Sweep has no provenance; use a new output directory") + ensure_run_identity( + path, + { + "mode": mode, + "seed": config.seed, + "failure_iterations": config.failure_iterations, + "packages": package_versions(), + }, + ) def _dedup_configs(configs: list[ConfigResult]) -> list[ConfigResult]: @@ -158,11 +146,6 @@ def _now_iso() -> str: return datetime.now(timezone.utc).isoformat(timespec="seconds") -# --------------------------------------------------------------------------- -# Metric extraction -# --------------------------------------------------------------------------- - - def _node_site(node_path: str) -> str: """Extract site from node path. 'bb/abc1/...' -> 'abc1', 'abc1/fadu/...' -> 'abc1'.""" parts = node_path.split("/") @@ -230,9 +213,10 @@ def _bac_summary(bac: BacResult) -> dict: values = np.asarray(bac.series.values, dtype=float) ratios = values / bac.offered if bac.offered > 0 else values return { - "auc": round(bac.auc_normalized, 6), + "auc": bac.auc_normalized, "pct": [ - round(float(value), 6) for value in np.percentile(ratios, range(1, 101)) + float(value) + for value in np.percentile(ratios, range(1, 101), method="lower") ], } @@ -261,15 +245,9 @@ def _extract_step_metrics(results_data: dict, step_name: str) -> dict: } -# --------------------------------------------------------------------------- -# Core execution -# --------------------------------------------------------------------------- - - def _execute_scenario( config: DcBbScenarioConfig, timeout_s: int, - ngraph_bin: str, work_dir: Path, ) -> dict: """Generate scenario, validate, run ngraph, extract all metrics. @@ -296,76 +274,36 @@ def _execute_scenario( return result scenario_path = work_dir / "scenario.yml" - scenario_path.write_text( - yaml.dump(scenario, default_flow_style=False, sort_keys=False) + write_text_atomic( + scenario_path, yaml.dump(scenario, default_flow_style=False, sort_keys=False) ) - # Validate try: - ir = subprocess.run( - [ngraph_bin, "inspect", str(scenario_path)], - capture_output=True, - text=True, - timeout=timeout_s, - ) - if ir.returncode != 0: - result.update( - status="error", - error=f"inspect: {ir.stderr[-300:]}", - duration_s=time.time() - t0, - ) - return result - ve = validate_inspect_output(ir.stdout, expected) - if ve: - result.update( - status="error", - error=f"validation: {'; '.join(ve)}", - duration_s=time.time() - t0, - ) - return result - except subprocess.TimeoutExpired: - result.update(status="timeout", duration_s=time.time() - t0) - return result - - # Run - try: - rr = subprocess.run( - [ngraph_bin, "run", str(scenario_path), "-o", str(work_dir)], - capture_output=True, - text=True, - timeout=timeout_s, + errors = validate_scenario_file(scenario_path, expected) + if errors: + raise ValueError("; ".join(errors)) + except (ValueError, OSError) as exc: + result.update( + status="error", error=f"validation: {exc}", duration_s=time.time() - t0 ) - if rr.returncode != 0: - result.update( - status="crash", - error=f"run: {rr.stderr[-300:]}", - duration_s=time.time() - t0, - ) - return result - except subprocess.TimeoutExpired: - result.update(status="timeout", duration_s=time.time() - t0) return result - - # Load results - results_path = work_dir / "scenario.results.json" - if not results_path.exists(): + outcome = run_simulation(scenario_path, timeout=timeout_s) + if not outcome.success: result.update( - status="error", error="no results file", duration_s=time.time() - t0 + status=outcome.status, error=outcome.error, duration_s=time.time() - t0 ) return result - results_data = json.loads(results_path.read_text()) + results_data = outcome.results - # Alpha try: msd = results_data.get("steps", {}).get("msd_baseline", {}).get("data", {}) - result["alpha_star"] = float(msd.get("alpha_star", 0)) + result["alpha_star"] = float(msd["alpha_star"]) except Exception as e: result.update( status="error", error=f"alpha_star: {e}", duration_s=time.time() - t0 ) return result - # Per-mode + combined metrics try: steps = results_data.get("steps", {}) bac_modes: dict = {} @@ -383,23 +321,21 @@ def _execute_scenario( result["bac_modes"] = bac_modes except Exception as e: - result["error"] = f"bac: {e}" + result.update(status="error", error=f"bac: {e}", duration_s=time.time() - t0) + return result result.update(status="success", duration_s=round(time.time() - t0, 1)) return result -# --------------------------------------------------------------------------- -# Sweep runners -# --------------------------------------------------------------------------- - - def run_sweep( sweep_config: SweepConfig, side: str, ) -> list[ResultEntry]: """Sweep one side (fix the other at default).""" - ngraph_bin = _find_ngraph() + if side not in {"abc1", "xyz1"}: + raise ValueError("side must be abc1 or xyz1") + _prepare_sweep(sweep_config, side) output_dir = sweep_config.output_dir output_dir.mkdir(parents=True, exist_ok=True) results_jsonl = output_dir / "results.jsonl" @@ -408,14 +344,11 @@ def run_sweep( default = DcBbScenarioConfig(seed=sweep_config.seed) bb_rows, bb_cols = default.bb_planes, default.bb_devices_per_plane - # Load completed completed = _load_completed(results_jsonl) - # Get unique configs for swept side analysis = run_structural_analysis(default) unique = _dedup_configs(analysis[side].configs) - # Fixed side notation if side == "abc1": fixed_layout = default.layout_xyz1 fixed_g = default.g_xyz1 @@ -459,7 +392,7 @@ def run_sweep( run_dir = results_dir / dir_name run_dir.mkdir(parents=True, exist_ok=True) - r = _execute_scenario(sc, sweep_config.timeout_s, ngraph_bin, run_dir) + r = _execute_scenario(sc, sweep_config.timeout_s, run_dir) if side == "abc1": entry = _build_entry(cfg.g, nota, fixed_g, fixed_nota, dir_name, r) @@ -474,7 +407,7 @@ def run_sweep( def run_cross_sweep(sweep_config: SweepConfig) -> list[ResultEntry]: """Sweep all cross-side (ABC1 × XYZ1) combinations.""" - ngraph_bin = _find_ngraph() + _prepare_sweep(sweep_config, "cross") output_dir = sweep_config.output_dir output_dir.mkdir(parents=True, exist_ok=True) results_jsonl = output_dir / "results.jsonl" @@ -525,7 +458,7 @@ def run_cross_sweep(sweep_config: SweepConfig) -> list[ResultEntry]: run_dir = results_dir / dir_name run_dir.mkdir(parents=True, exist_ok=True) - r = _execute_scenario(sc, sweep_config.timeout_s, ngraph_bin, run_dir) + r = _execute_scenario(sc, sweep_config.timeout_s, run_dir) entry = _build_entry(a_cfg.g, nota_a, x_cfg.g, nota_x, dir_name, r) entries.append(entry) @@ -534,11 +467,6 @@ def run_cross_sweep(sweep_config: SweepConfig) -> list[ResultEntry]: return entries -# --------------------------------------------------------------------------- -# Helpers -# --------------------------------------------------------------------------- - - def _build_entry( g_abc1: int, nota_a: str, @@ -569,18 +497,14 @@ def _load_completed(results_jsonl: Path) -> set[str]: for line in results_jsonl.read_text().splitlines(): if line.strip(): data = json.loads(line) - completed.add(data.get("result_dir", "")) + if data["status"] == "success": + completed.add(data["result_dir"]) return completed def _append_jsonl(path: Path, entry: ResultEntry) -> None: - with open(path, "a") as f: - f.write(json.dumps(entry.to_dict()) + "\n") - - -# --------------------------------------------------------------------------- -# Display -# --------------------------------------------------------------------------- + text = path.read_text() if path.exists() else "" + write_text_atomic(path, text + json.dumps(entry.to_dict()) + "\n") def print_results(entries: list[ResultEntry]) -> None: diff --git a/netlab/cli.py b/netlab/cli.py index 22e5d9b..4995c9a 100644 --- a/netlab/cli.py +++ b/netlab/cli.py @@ -1,609 +1,47 @@ -#!/usr/bin/env python3 -"""Build TopoGen scenarios, run NetGraph experiments, and analyze their results.""" +"""Command-line adapters for the NetLab library services.""" from __future__ import annotations import argparse -import concurrent.futures -import hashlib import logging -import os -import platform -import shutil -import subprocess import sys -import time -from datetime import datetime, timezone from pathlib import Path -from typing import Dict, List, NoReturn, Optional, Tuple - -import yaml - -from metrics.aggregate import write_json_atomic from .log_config import configure_from_env, set_global_log_level -from .runtime import resolve_invoke - - -def die(msg: str, code: int = 1) -> NoReturn: - print(f"❌ {msg}", file=sys.stderr) - sys.exit(code) - - -def ensure_dir(p: Path) -> None: - p.mkdir(parents=True, exist_ok=True) - - -def _file_provenance(path: Path) -> Dict[str, object]: - record: Dict[str, object] = {"path": os.path.relpath(path, start=Path.cwd())} - try: - content = path.read_bytes() - except OSError as exc: - logging.warning("Failed to hash %s: %s", path, exc) - record["hash_error"] = str(exc) - else: - record.update( - sha256=hashlib.sha256(content).hexdigest(), size_bytes=len(content) - ) - return record -def _create_run_provenance( - masters: List[Path], - seeds: List[int], - scenarios_dir: Path, - configs_root: Optional[Path] = None, - build_jobs: Optional[int] = None, - run_jobs: Optional[int] = None, - build_timeout: Optional[int] = None, - force: Optional[bool] = None, - force_run: Optional[bool] = None, - topogen_invoke: Optional[List[str]] = None, - ngraph_invoke: Optional[List[str]] = None, -) -> Dict[str, object]: - """Record source files, seeds, and execution settings for a NetLab run.""" - cwd = Path.cwd() - provenance = { - "generated_at": datetime.now(timezone.utc).isoformat(), - "python": sys.version, - "platform": platform.platform(), - "seeds": sorted(seeds), - "topogen_configs": {}, - "scenarios_dir": os.path.relpath(scenarios_dir, start=cwd), - } - if configs_root is not None: - provenance["configs_root"] = os.path.relpath(configs_root, start=cwd) - if build_jobs is not None: - provenance["build_jobs"] = int(build_jobs) - if run_jobs is not None: - provenance["run_jobs"] = int(run_jobs) - if build_timeout is not None: - provenance["build_timeout"] = int(build_timeout) - if force is not None: - provenance["force"] = bool(force) - if force_run is not None: - provenance["force_run"] = bool(force_run) - if topogen_invoke is not None: - provenance["topogen_invoke"] = list(topogen_invoke) - if ngraph_invoke is not None: - provenance["ngraph_invoke"] = list(ngraph_invoke) +def _cmd_pipeline(args: argparse.Namespace) -> None: + from .pipeline import PipelineConfig, discover_configs, run_pipeline - # Get git commit if available try: - commit = ( - subprocess.check_output( - ["git", "rev-parse", "HEAD"], stderr=subprocess.DEVNULL - ) - .decode("utf-8") - .strip() - ) - provenance["git_commit"] = commit - except Exception as e: - logging.warning("Failed to retrieve git commit: %s", e) - provenance["git_commit_error"] = str(e) - - provenance["topogen_configs"] = { - path.name: _file_provenance(path) for path in masters - } - - # Record seeds planned per master - if masters and seeds: - seeds_per_master: Dict[str, List[int]] = { - m.stem: sorted(seeds) for m in masters - } - provenance["seeds_per_master"] = seeds_per_master - - return provenance - - -def _detect_topogen_invoke(explicit: str | None = None) -> List[str]: - invoke = resolve_invoke( - "topogen", - explicit=explicit, - env_var="NETLAB_TOPOGEN_BIN", - python_module="topogen", - ) - if invoke is not None: - return invoke - die( - "Could not resolve TopoGen. Set --topogen-bin or $NETLAB_TOPOGEN_BIN, " - "put 'topogen' on PATH, or install it in the current Python environment." - ) - - -def _detect_ngraph_invoke(explicit: str | None = None) -> List[str]: - invoke = resolve_invoke( - "ngraph", - explicit=explicit, - env_var="NETLAB_NGRAPH_BIN", - python_module="ngraph", - ) - if invoke is not None: - return invoke - die( - "Could not resolve ngraph. Set --ngraph-bin or $NETLAB_NGRAPH_BIN, " - "put 'ngraph' on PATH, or install it in the current Python environment." - ) - - -def find_master_yaml_files(masters_path: Path) -> List[Path]: - if masters_path.is_file(): - if masters_path.suffix in (".yml", ".yaml"): - return [masters_path] - die(f"Not a YAML file: {masters_path}") - if masters_path.is_dir(): - return sorted( - [ - p - for p in masters_path.iterdir() - if p.is_file() and p.suffix in (".yml", ".yaml") - ] - ) - die(f"Path not found: {masters_path}") - - -def _topogen_generate_only( - topogen_invoke: List[str], cfg_abs: Path, workdir: Path, force: bool -) -> int: - graph_work = workdir / f"{cfg_abs.stem}_integrated_graph.json" - log_gen = workdir / "generate.log" - - run_generate = force or not graph_work.exists() - if run_generate: - logging.info( - "Topogen generate: config=%s -> graph=%s (log=%s)", - str(cfg_abs), - str(graph_work), - str(log_gen), - ) - return _run_to_log( - topogen_invoke + ["generate", str(cfg_abs), "-o", str(workdir)], - Path.cwd(), - log_gen, - ) - else: - log_gen.write_text( - f"⏭️ Skipping generate: found existing {graph_work.name}\n", - encoding="utf-8", - ) - logging.info( - "Topogen generate: skip (exists) config=%s graph=%s", - str(cfg_abs), - str(graph_work), + config = PipelineConfig( + masters=discover_configs(args.configs), + seeds=args.seeds, + output_dir=args.scenarios_dir, + graphs_dir=args.graphs_dir, + build_jobs=args.build_jobs, + run_jobs=args.run_jobs, + build_timeout=args.build_timeout, + run_timeout=args.run_timeout, + force=args.force, + force_run=args.force_run, ) - return 0 - - -def _write_seed_overridden_config(master_cfg: Path, seed_cfg: Path, seed: int) -> None: - raw = master_cfg.read_text(encoding="utf-8") - data = yaml.safe_load(raw) - if not isinstance(data, dict): - die(f"Invalid TopoGen config (expected mapping): {master_cfg}") - output = data.get("output") - if not isinstance(output, dict): - output = {} - output["scenario_seed"] = int(seed) - data["output"] = output - # Preserve other content; dump without flow style - seed_cfg.write_text(yaml.safe_dump(data, sort_keys=False), encoding="utf-8") - - -def _build_seed_scenario( - topogen_invoke: List[str], - master_cfg: Path, - workdir: Path, - seed_dir: Path, - seed: int, -) -> Tuple[Path, int]: - stem = master_cfg.stem - ensure_dir(seed_dir) - - # Ensure integrated graph is available under seed_dir with expected name - graph_src = workdir / f"{stem}_integrated_graph.json" - graph_dst = seed_dir / f"{stem}_integrated_graph.json" - if not graph_src.exists(): - return seed_dir, 1 - try: - shutil.copy2(graph_src, graph_dst) - except Exception: - # Surface the error by returning non-zero; do not skip silently - return seed_dir, 1 - - # Write a per-seed config that keeps the original stem (prefix) for artefacts - seed_cfg = seed_dir / f"{stem}.yml" - _write_seed_overridden_config(master_cfg, seed_cfg, seed) - - # Build per-seed scenario YAML into seed_dir, capturing logs - seed_yaml = seed_dir / f"{stem}__seed{seed}_scenario.yml" - log_build = seed_dir / "build.log" - logging.info( - "Topogen build: stem=%s seed=%s cfg=%s -> out=%s (log=%s)", - stem, - seed, - str(seed_cfg), - str(seed_yaml), - str(log_build), - ) - ec = _run_to_log( - topogen_invoke + ["build", str(seed_cfg), "-o", str(seed_yaml)], - Path.cwd(), - log_build, - ) - return seed_yaml, ec - - -def _run_to_log(cmd: List[str], cwd: Path, log_path: Path) -> int: - ensure_dir(log_path.parent) - with log_path.open("w", encoding="utf-8") as fh: - try: - logging.debug( - "exec: %s | cwd=%s | log=%s", " ".join(cmd), str(cwd), str(log_path) - ) - proc = subprocess.Popen( - cmd, cwd=str(cwd), stdout=fh, stderr=subprocess.STDOUT - ) - rc = proc.wait() - logging.debug("exit: rc=%s cmd=%s", rc, " ".join(cmd)) - return rc - except Exception as e: - try: - fh.write(f"\n❌ netlab: failed to invoke: {' '.join(cmd)}\n{e}\n") - except Exception as write_err: - # Report invocation and log-write errors to stderr. - print( - f"❌ netlab: failed to invoke and log: {' '.join(cmd)}\n{e}\nlog error: {write_err}", - file=sys.stderr, - ) - return 1 - - -def _scenario_io_paths(scn_yaml: Path) -> Tuple[Path, str, Path]: - scn_yaml_abs = scn_yaml.resolve() - scn_dir = scn_yaml_abs.parent - scn_stem = scn_yaml_abs.stem - results_json = scn_dir / f"{scn_stem}.results.json" - return scn_dir, scn_stem, results_json - - -def _has_cached(results_json: Path) -> bool: - return results_json.exists() - - -def _inspect_run_one( - ngraph_invoke: List[str], scn_yaml: Path, force: bool -) -> Tuple[Path, str, str]: - scn_dir, scn_stem, results_json = _scenario_io_paths(scn_yaml) - scn_yaml_abs = scn_yaml.resolve() - log_ins = scn_dir / f"{scn_stem}.inspect.log" - log_run = scn_dir / f"{scn_stem}.run.log" - - if not force and _has_cached(results_json): - return scn_yaml, "⏭️ cached", "⏭️ cached" - - logging.info( - "ngraph inspect: %s (log=%s)", - str(scn_yaml_abs), - str(log_ins), - ) - ec_ins = _run_to_log( - ngraph_invoke + ["inspect", str(scn_yaml_abs)], - scn_dir, - log_ins, - ) - if ec_ins != 0: - return scn_yaml, "❌", "⏭️ skipped" - - logging.info( - "ngraph run: %s -> results=%s (log=%s)", - str(scn_yaml_abs), - str(results_json), - str(log_run), - ) - ec_run = _run_to_log( - ngraph_invoke - + ["run", "-o", str(scn_dir), "-r", str(results_json), str(scn_yaml_abs)], - scn_dir, - log_run, - ) - if ec_run != 0: - return scn_yaml, "✅", "❌" - return scn_yaml, "✅", "✅" - - -def _generate_masters( - masters: List[Path], - scenarios_dir: Path, - build_jobs: int, - build_timeout: int, - force: bool, - topogen_invoke: Optional[List[str]] = None, -) -> List[str]: - topogen_cmd = topogen_invoke or _detect_topogen_invoke() - futures: List[Tuple[str, Path, concurrent.futures.Future[int]]] = [] - with concurrent.futures.ThreadPoolExecutor(max_workers=max(1, build_jobs)) as ex: - for master_yaml in masters: - master_stem = master_yaml.stem - workdir = scenarios_dir / master_stem / master_stem - ensure_dir(workdir) - cfg_abs = master_yaml.resolve() - fut = ex.submit( - _topogen_generate_only, - topogen_cmd, - cfg_abs, - workdir, - bool(force), - ) - futures.append((master_stem, workdir, fut)) - - build_errors: List[str] = [] - for master_stem, workdir, fut in futures: - try: - gen_ec = fut.result( - timeout=build_timeout - if build_timeout and build_timeout > 0 - else None - ) # type: ignore[arg-type] - except concurrent.futures.TimeoutError: - build_errors.append(f"{master_stem} (timeout during generate)") - continue - if gen_ec != 0: - build_errors.append( - f"{master_stem} (generate failed, see logs in {workdir})" - ) - else: - print(f"✅ Integrated graph ready: {master_stem}") - return build_errors - - -def _cmd_build(args: argparse.Namespace) -> None: - masters_dir: Path = args.configs - scenarios_dir: Path = args.scenarios_dir - - masters = find_master_yaml_files(masters_dir) - if not masters: - die(f"No YAMLs under {masters_dir}") - - ensure_dir(scenarios_dir) - topogen_invoke = _detect_topogen_invoke(getattr(args, "topogen_bin", None)) - - print("\n===== Generate Plan =====") - print(f"Masters dir: {masters_dir}") - print(f"Masters found: {len(masters)}") - print(f"Scenarios dir: {scenarios_dir}") - print(f"Build jobs: {max(1, args.build_jobs)}") - if args.build_timeout and args.build_timeout > 0: - print(f"Build timeout: {args.build_timeout}s per master") - else: - print("Build timeout: disabled") - print("Behavior:") - print(" - Generate integrated graph once per master (parallel across masters)") - print("======================\n") - - build_errors = _generate_masters( - masters=masters, - scenarios_dir=scenarios_dir, - build_jobs=args.build_jobs, - build_timeout=args.build_timeout, - force=args.force, - topogen_invoke=topogen_invoke, - ) - - if build_errors: - die("One or more builds failed: " + "; ".join(build_errors)) - - # Record build inputs and settings. - build_provenance = _create_run_provenance( - masters=masters, - seeds=[], - scenarios_dir=scenarios_dir, - configs_root=masters_dir, - build_jobs=args.build_jobs, - run_jobs=None, - build_timeout=args.build_timeout, - force=args.force, - force_run=None, - topogen_invoke=topogen_invoke, - ngraph_invoke=None, - ) - build_provenance["command"] = "build" - provenance_path = scenarios_dir / "_build_provenance.json" - write_json_atomic(provenance_path, build_provenance) - print(f"📋 Build provenance saved to: {provenance_path}") - print("✅ All builds completed successfully") - - -def _cmd_run(args: argparse.Namespace) -> None: - masters_dir: Path = args.configs - scenarios_dir: Path = args.scenarios_dir - seeds: List[int] = args.seeds - - if not seeds: - die("No seeds specified") - - masters = find_master_yaml_files(masters_dir) - if not masters: - die(f"No YAMLs under {masters_dir}") - - ensure_dir(scenarios_dir) - topogen_invoke = _detect_topogen_invoke(getattr(args, "topogen_bin", None)) - ngraph_invoke = _detect_ngraph_invoke(getattr(args, "ngraph_bin", None)) - - print("\n===== Experiment Plan =====") - print(f"Masters dir: {masters_dir}") - print(f"Masters found: {len(masters)}") - print(f"Seeds: {seeds} (count: {len(seeds)})") - print(f"Scenarios dir: {scenarios_dir}") - print(f"Build jobs: {max(1, args.build_jobs)}") - print(f"Run jobs: {max(1, args.run_jobs)} (per master)") - if args.build_timeout and args.build_timeout > 0: - print(f"Build timeout: {args.build_timeout}s per master") - else: - print("Build timeout: disabled") - print("Behavior:") - print(" - Generate integrated graph once per master") + result = run_pipeline(config, simulate=args.command == "run") + except (ValueError, OSError) as exc: + print(str(exc), file=sys.stderr) + raise SystemExit(1) from exc + for scenario, outcome in result.simulations.items(): + print(f"{scenario.name}: {outcome.status}") + for task, error in result.errors.items(): + print(f"{task}: {error}", file=sys.stderr) print( - " - For each seed: override TopoGen output.scenario_seed and build per-seed scenario" - ) - print(" - Run per-seed scenarios in parallel per master") - print("==========================\n") - - # Generate integrated graph once per master - build_errors = _generate_masters( - masters=masters, - scenarios_dir=scenarios_dir, - build_jobs=args.build_jobs, - build_timeout=args.build_timeout, - force=args.force, - topogen_invoke=topogen_invoke, - ) - - if build_errors: - die("One or more builds failed: " + "; ".join(build_errors)) - - # Build per-seed scenarios via TopoGen (config-level seed override) - master_contexts: List[Tuple[str, List[Path]]] = [] - for master_yaml in masters: - master_stem = master_yaml.stem - master_root = scenarios_dir / master_stem - workdir = master_root / master_stem - ensure_dir(workdir) - - created: List[Path] = [] - # Optional parallelization across seeds per master - with concurrent.futures.ThreadPoolExecutor( - max_workers=max(1, args.run_jobs) - ) as ex: - futs: List[concurrent.futures.Future[Tuple[Path, int]]] = [] - for s in seeds: - seed_dir = master_root / f"{master_stem}__seed{s}" - futs.append( - ex.submit( - _build_seed_scenario, - topogen_invoke, - master_yaml.resolve(), - workdir, - seed_dir, - int(s), - ) - ) - for fut in futs: - seed_yaml, ec = fut.result() - if ec != 0: - die(f"TopoGen build failed for scenario: {seed_yaml}") - created.append(seed_yaml) - - master_contexts.append((master_stem, created)) - print(f"📝 Per-seed scenarios built for {master_stem}: {len(created)}") - - # Run inspect+run per master - run_summaries_dir = scenarios_dir / "_run_summaries" - ensure_dir(run_summaries_dir) - ngraph_start_wall = time.time() - ngraph_start = time.perf_counter() - run_errors: List[str] = [] - - for stem, scenarios in master_contexts: - print( - f"🧪 Running scenarios (inspect+run) for master: {stem} (jobs={max(1, args.run_jobs)})" - ) - summary_tsv = run_summaries_dir / f"{stem}.tsv" - summary_tsv.write_text( - "ScenarioDir\tScenario\tInspect\tRun\n", encoding="utf-8" - ) - - futures2: List[concurrent.futures.Future[Tuple[Path, str, str]]] = [] - with concurrent.futures.ThreadPoolExecutor( - max_workers=max(1, args.run_jobs) - ) as ex: - for scn in scenarios: - fut = ex.submit( - _inspect_run_one, - ngraph_invoke, - scn, - bool(args.force or args.force_run), - ) - futures2.append(fut) - for fut in futures2: - scn_path, ins_status, run_status = fut.result() - if ins_status == "❌" or run_status == "❌": - run_errors.append(str(scn_path)) - with summary_tsv.open("a", encoding="utf-8") as fh: - fh.write( - f"{scn_path.parent}\t{scn_path.name}\t{ins_status}\t{run_status}\n" - ) - print(f"📦 Run finished: {stem}") - - # Overall timing - ngraph_end_wall = time.time() - ngraph_elapsed = time.perf_counter() - ngraph_start - start_iso = datetime.fromtimestamp(ngraph_start_wall, tz=timezone.utc).isoformat() - end_iso = datetime.fromtimestamp(ngraph_end_wall, tz=timezone.utc).isoformat() - timing_tsv = run_summaries_dir / "_overall_ngraph_time.tsv" - timing_tsv.write_text( - "Scope\tStartUTC\tEndUTC\tElapsedSec\n" - f"ngraph\t{start_iso}\t{end_iso}\t{ngraph_elapsed:.3f}\n", - encoding="utf-8", + f"Built {len(result.scenarios)} scenarios; provenance: {args.scenarios_dir / 'provenance.json'}" ) - print(f"⏱️ Overall ngraph run time: {ngraph_elapsed:.3f}s") + if not result.success: + raise SystemExit(1) - # Record run inputs and settings. - provenance = _create_run_provenance( - masters=masters, - seeds=seeds, - scenarios_dir=scenarios_dir, - configs_root=masters_dir, - build_jobs=args.build_jobs, - run_jobs=args.run_jobs, - build_timeout=args.build_timeout, - force=args.force, - force_run=args.force_run, - topogen_invoke=topogen_invoke, - ngraph_invoke=ngraph_invoke, - ) - provenance["command"] = "run" - results_files: Dict[str, Dict[str, object]] = {} - for _stem, scenarios in master_contexts: - for scenario in scenarios: - _, _, results_path = _scenario_io_paths(scenario) - record = _file_provenance(results_path) - results_files[str(record["path"])] = record - if results_files: - provenance["results_files"] = results_files - - provenance_path = scenarios_dir / "provenance.json" - write_json_atomic(provenance_path, provenance) - print(f"📋 Run provenance saved to: {provenance_path}") - if run_errors: - die( - "NetGraph failed for: " - + "; ".join(run_errors) - + ". See the inspect/run logs beside each scenario." - ) - - -def main() -> None: - # Initialize logging for NetLab; level can be overridden via NETLAB_LOG_LEVEL +def main(argv: list[str] | None = None) -> None: configure_from_env() from netlab.autoresearch.backend import ( DEFAULT_CLAUDE_MODEL, @@ -620,93 +58,49 @@ def main() -> None: ) sub = ap.add_subparsers(dest="command", required=True) - # build subcommand - ap_build = sub.add_parser( - "build", - help="Build TopoGen masters only", - description="Build TopoGen masters only", - ) - ap_build.add_argument( - "configs", - nargs="?", - default=Path("topogen_configs"), - type=Path, - help="Path to TopoGen master YAMLs (directory)", - ) - ap_build.add_argument( - "--scenarios-dir", default=Path("scenarios"), type=Path, help="Output root" - ) - ap_build.add_argument( - "--force", action="store_true", help="Force both generate and build" - ) - ap_build.add_argument( - "--topogen-bin", - type=str, - default=None, - help=( - "Path to the TopoGen executable " - "(default: $NETLAB_TOPOGEN_BIN, PATH, or current Python environment)." - ), - ) - ap_build.add_argument( - "--build-jobs", type=int, default=max(1, (os.cpu_count() or 4) // 2) - ) - ap_build.add_argument("--build-timeout", type=int, default=0) - ap_build.set_defaults(func=_cmd_build) - - # run subcommand - ap_run = sub.add_parser( - "run", - help="Build, seed by --seeds, and run ngraph inspect+run", - description="Build TopoGen masters, expand scenarios by --seeds, then run ngraph", - ) - ap_run.add_argument( - "configs", - nargs="?", - default=Path("topogen_configs"), - type=Path, - help="Path to TopoGen master YAMLs (directory)", - ) - ap_run.add_argument( - "--seeds", - nargs="+", - type=int, - required=True, - help="One or more integer seeds", - ) - ap_run.add_argument( - "--scenarios-dir", default=Path("scenarios"), type=Path, help="Output root" - ) - ap_run.add_argument( - "--force", action="store_true", help="Force both build and ngraph run" - ) - ap_run.add_argument("--force-run", action="store_true", help="Force ngraph run") - ap_run.add_argument( - "--topogen-bin", - type=str, - default=None, - help=( - "Path to the TopoGen executable " - "(default: $NETLAB_TOPOGEN_BIN, PATH, or current Python environment)." - ), - ) - ap_run.add_argument( - "--ngraph-bin", - type=str, - default=None, - help=( - "Path to the ngraph executable " - "(default: $NETLAB_NGRAPH_BIN, PATH, or current Python environment)." - ), - ) - ap_run.add_argument( - "--build-jobs", type=int, default=max(1, (os.cpu_count() or 4) // 2) - ) - ap_run.add_argument("--run-jobs", type=int, default=1) - ap_run.add_argument("--build-timeout", type=int, default=0) - ap_run.set_defaults(func=_cmd_run) + for command in ("build", "run"): + parser = sub.add_parser( + command, + help="Build seeded scenarios" + if command == "build" + else "Build and simulate seeded scenarios", + ) + parser.add_argument( + "configs", nargs="?", default=Path("topogen_configs"), type=Path + ) + parser.add_argument( + "--seeds", + nargs="+", + type=int, + default=[42] if command == "build" else None, + required=command == "run", + ) + parser.add_argument("--scenarios-dir", default=Path("scenarios"), type=Path) + parser.add_argument( + "--graphs-dir", + type=Path, + help="Use existing _integrated_graph.json files instead of generating geography", + ) + parser.add_argument("--build-jobs", type=int, default=1) + parser.add_argument( + "--build-timeout", + type=float, + default=None, + help="Execution deadline in seconds per graph/build task", + ) + parser.add_argument( + "--force", + action="store_true", + help="Regenerate graphs and repeat simulations", + ) + if command == "run": + parser.add_argument("--run-jobs", type=int, default=1) + parser.add_argument("--run-timeout", type=float, default=600) + parser.add_argument("--force-run", action="store_true") + else: + parser.set_defaults(run_jobs=1, run_timeout=600, force_run=False) + parser.set_defaults(func=_cmd_pipeline) - # metrics subcommand ap_metrics = sub.add_parser( "metrics", help="Compute metrics over a scenarios root (results JSONs)", @@ -743,13 +137,13 @@ def main() -> None: ) def _cmd_metrics(args: argparse.Namespace) -> None: - from .metrics_cmd import print_summary_from_csv, run_metrics + from .metrics.batch import run_metrics + from .metrics.reporting import print_summary_from_csv if bool(args.summary): # Summary mode: always render cross-seed figures print_summary_from_csv(args.scenarios_root, plots=True, quiet=False) return - # Full analysis mode: compute everything and, unless disabled, also render cross-seed figures run_metrics( root=args.scenarios_root, only=args.only, @@ -757,12 +151,10 @@ def _cmd_metrics(args: argparse.Namespace) -> None: enable_maxflow=bool(args.enable_maxflow), ) if not bool(args.no_plots): - # Generate cross-seed figures from the freshly written CSVs print_summary_from_csv(args.scenarios_root, plots=True, quiet=True) ap_metrics.set_defaults(func=_cmd_metrics) - # test subcommand (paired t-tests between two scenarios) ap_test = sub.add_parser( "test", help="Paired t-tests between two scenarios (A vs B)", @@ -784,18 +176,19 @@ def _cmd_metrics(args: argparse.Namespace) -> None: ) def _cmd_test(args: argparse.Namespace) -> None: - from metrics.summary import _build_insights + from netlab.metrics.comparisons import compare_scenarios root: Path = args.scenarios_root out_root = root.parent / f"{root.name}_metrics" - insights = _build_insights(out_root) + insights = compare_scenarios( + out_root, alpha=args.alpha, scenarios=(args.scenario_a, args.scenario_b) + ) if not insights: print("(no project insights available)") return a = args.scenario_a b = args.scenario_b alpha = float(args.alpha) - # Filter to pairs matching (a,b) or (b,a) matches = [ r for r in insights @@ -805,9 +198,8 @@ def _cmd_test(args: argparse.Namespace) -> None: if not matches: print(f"No common-seed paired results found for {a} vs {b}.") return - # Print compact table print(f"Paired t-tests for {a} vs {b} (alpha={alpha}):") - print("metric n mean_diff [95% CI] t p p_adj det") + print(f"metric n mean_diff [{100 * (1 - alpha):g}% CI] t p p_adj det") for r in sorted(matches, key=lambda x: x.get("metric", "zzz")): n = int(r.get("n", 0)) md = r.get("mean_diff", float("nan")) @@ -824,7 +216,6 @@ def _cmd_test(args: argparse.Namespace) -> None: ap_test.set_defaults(func=_cmd_test) - # autoresearch subcommand group ap_auto = sub.add_parser( "autoresearch", help="Autonomous research loop (init, run)", @@ -832,7 +223,6 @@ def _cmd_test(args: argparse.Namespace) -> None: ) auto_sub = ap_auto.add_subparsers(dest="auto_command", required=True) - # autoresearch init ap_auto_init = auto_sub.add_parser( "init", help="Scaffold a new autoresearch project directory", @@ -858,7 +248,6 @@ def _cmd_autoresearch_init(args: argparse.Namespace) -> None: ap_auto_init.set_defaults(func=_cmd_autoresearch_init) - # autoresearch run ap_auto_run = auto_sub.add_parser( "run", help="Run the autoresearch experiment loop", @@ -905,15 +294,6 @@ def _cmd_autoresearch_init(args: argparse.Namespace) -> None: "(default: $CLAUDE_BIN/$CODEX_BIN, PATH, or current venv)." ), ) - ap_auto_run.add_argument( - "--ngraph-bin", - type=str, - default=None, - help=( - "Path to the ngraph executable " - "(default: $NETLAB_NGRAPH_BIN, PATH, or current venv)." - ), - ) ap_auto_run.add_argument( "--max-experiments", type=int, @@ -940,7 +320,6 @@ def _cmd_autoresearch_run(args: argparse.Namespace) -> None: ap_auto_run.set_defaults(func=_cmd_autoresearch_run) - # autoresearch structural-analysis ap_auto_sa = auto_sub.add_parser( "structural-analysis", help="Enumerate layouts and evaluate connection retention under failures", @@ -967,7 +346,6 @@ def _cmd_autoresearch_structural_analysis(args: argparse.Namespace) -> None: ap_auto_sa.set_defaults(func=_cmd_autoresearch_structural_analysis) - # autoresearch sweep ap_auto_sweep = auto_sub.add_parser( "sweep", help="Sweep one DC side (fix other at default), extract alpha + per-mode BAC", @@ -1001,7 +379,6 @@ def _cmd_autoresearch_sweep(args: argparse.Namespace) -> None: ap_auto_sweep.set_defaults(func=_cmd_autoresearch_sweep) - # autoresearch cross-sweep ap_auto_xsweep = auto_sub.add_parser( "cross-sweep", help="Sweep all ABC1 × XYZ1 combinations, extract alpha + per-mode BAC", @@ -1034,9 +411,8 @@ def _cmd_autoresearch_cross_sweep(args: argparse.Namespace) -> None: ap_auto_xsweep.set_defaults(func=_cmd_autoresearch_cross_sweep) - args = ap.parse_args() - # Override log level if -v provided - if bool(getattr(args, "verbose", False)): + args = ap.parse_args(argv) + if args.verbose: set_global_log_level(logging.DEBUG) args.func(args) diff --git a/netlab/comparison.py b/netlab/comparison.py index df2ba89..5e763d6 100644 --- a/netlab/comparison.py +++ b/netlab/comparison.py @@ -43,12 +43,7 @@ class ComparisonTableBuilder: """ def __init__(self, summaries: Dict[str, dict]): - """ - Initialize with scenario summaries. - - Args: - summaries: Dict mapping scenario/topology name to summary dict - """ + """Use summaries keyed by scenario name.""" self.summaries = summaries self.scenarios = list(summaries.keys()) self.rows: List[Union[TableRow, MetricRowGroup]] = [] @@ -60,17 +55,9 @@ def add_row( formatter: Optional[Callable[[Any], str]] = None, default: str = "?", ) -> "ComparisonTableBuilder": - """ - Add a custom row to the table. - - Args: - label: Row label (first column) - extractor: Function to extract value from summary dict - formatter: Optional function to format the value - default: Default string if value is None + """Add a row extracted from each summary; return self for chaining. - Returns: - self for chaining + Use ``default`` when the extracted value is None. """ self.rows.append(TableRow(label, extractor, formatter, default)) return self @@ -83,18 +70,10 @@ def add_metric_rows( formatter: Optional[Callable[[Any], str]] = None, default: str = "N/A", ) -> "ComparisonTableBuilder": - """ - Add rows for all metrics in a key. - - Args: - metrics_key: Key in summary containing metrics dict (e.g., "failure_analysis") - metric_field: Field to extract from each metric (e.g., "min_ratio") - label_map: Optional mapping from metric names to display labels - formatter: Optional function to format values - default: Default string if value is None + """Add one row per metric under ``metrics_key``; return self for chaining. - Returns: - self for chaining + Read ``metric_field`` from each metric and use ``label_map`` for display names. + Use ``default`` for missing values. """ self.rows.append( MetricRowGroup( @@ -135,15 +114,7 @@ def print_table( label_width: int = 15, transposed: bool = False, ) -> None: - """ - Print the comparison table. - - Args: - title: Table title - min_col_width: Minimum column width - label_width: Width for the label column - transposed: If True, scenarios are rows and metrics are columns - """ + """Print metrics as rows, or as columns when ``transposed`` is True.""" if not self.scenarios: print("No scenarios to compare.") return @@ -152,23 +123,19 @@ def print_table( self._print_table_transposed(title, min_col_width) return - # Calculate column width col_width = max(min_col_width, max(len(s) for s in self.scenarios)) total_width = label_width + 3 + len(self.scenarios) * (col_width + 3) - # Print header print("\n" + "=" * total_width) print(title) print("=" * total_width) - # Print scenario names header print(f"\n{'':>{label_width}}", end="") for scenario in self.scenarios: print(f" {scenario:>{col_width}}", end="") print() print("-" * total_width) - # Print rows for row in self.rows: if isinstance(row, TableRow): self._print_row(row, col_width, label_width) @@ -181,7 +148,6 @@ def _print_table_transposed( col_width: int = 10, ) -> None: """Print table with scenarios as rows, metrics as columns.""" - # Build column headers and data columns: List[tuple[str, Callable[[dict], str]]] = [] for row in self.rows: @@ -211,25 +177,20 @@ def _print_table_transposed( ) ) - # Calculate widths scenario_width = max(len(s) for s in self.scenarios) + 2 - col_width = max(col_width, max(len(c[0]) for c in columns) + 2) + col_width = max(col_width, max((len(c[0]) for c in columns), default=0) + 2) total_width = scenario_width + len(columns) * col_width - # Print header print(f"\n┌─ {title} ─" + "─" * (total_width - len(title) - 4)) - # Print column headers print(f"│ {'Topology':<{scenario_width - 2}}", end="") for col_name, _ in columns: print(f" {col_name:>{col_width - 1}}", end="") print() print("├" + "─" * (total_width + 1)) - # Print data rows for scenario in self.scenarios: summary = self.summaries[scenario] - # Shorten scenario name if needed short_name = scenario if len(short_name) > scenario_width - 2: short_name = "…" + short_name[-(scenario_width - 3) :] @@ -287,13 +248,7 @@ def _print_metric_rows( print() def to_dict(self) -> dict: - """ - Export comparison data as a dictionary. - - Returns: - Dict with scenarios, data per scenario, and metric types - """ - # Collect all failure types + """Return scenario names, per-scenario data, and metric types.""" all_failure_types = set() for summary in self.summaries.values(): all_failure_types.update(summary.get("failure_analysis", {}).keys()) @@ -322,15 +277,7 @@ def to_dict(self) -> dict: return comparison def to_json(self, path: Optional[Path] = None) -> str: - """ - Export comparison data as JSON. - - Args: - path: Optional path to write JSON file - - Returns: - JSON string - """ + """Return JSON and optionally write it to ``path``.""" data = self.to_dict() json_str = json.dumps(data, indent=2) if path: @@ -339,7 +286,6 @@ def to_json(self, path: Optional[Path] = None) -> str: return json_str -# Common formatters def format_percent(value: float) -> str: """Format a value as percentage.""" return f"{value:.2%}" diff --git a/netlab/experiment.py b/netlab/experiment.py index 6df4bc8..cc09dab 100644 --- a/netlab/experiment.py +++ b/netlab/experiment.py @@ -2,9 +2,7 @@ from __future__ import annotations -import json import logging -import subprocess from abc import ABC, abstractmethod from datetime import datetime from pathlib import Path @@ -12,7 +10,9 @@ import yaml +from .artifacts import write_json_atomic, write_text_atomic from .scenario import ScenarioMerger +from .simulation import invalidate_results, run_simulation logger = logging.getLogger(__name__) @@ -27,15 +27,7 @@ def __init__( topologies_dir: Optional[Path] = None, scenario_filename: str = "scenario.yml", ): - """ - Initialize the experiment runner. - - Args: - root: Root directory of the experiment - results_dir: Directory for results (default: root / "results") - topologies_dir: Directory containing topologies (default: root / "topologies") - scenario_filename: Name of scenario file in each topology dir - """ + """Use ``root/results`` and ``root/topologies`` unless paths are supplied.""" self.root = Path(root) self.results_dir = Path(results_dir) if results_dir else self.root / "results" self.topologies_dir = ( @@ -46,20 +38,15 @@ def __init__( @abstractmethod def get_merger(self) -> ScenarioMerger: - """ - Configure and return a ScenarioMerger for this experiment. - - Subclasses must implement this to configure merge sources. + """Configure the experiment's merge sources. Subclasses must implement this. Example: - def get_merger(self) -> ScenarioMerger: - merger = ScenarioMerger(self.root) - merger.add_source(self.root / "policies", "failures", - filter_fn=is_failure_policy) - merger.add_source(self.root / "demands", "demands", - source_key="demands") - merger.add_workflow_source(self.root / "workflows") - return merger + merger = ScenarioMerger(self.root) + merger.add_source(self.root / "policies", "failures", + filter_fn=is_failure_policy) + merger.add_source(self.root / "demands", "demands", source_key="demands") + merger.add_workflow_source(self.root / "workflows") + return merger """ pass @@ -71,12 +58,7 @@ def merger(self) -> ScenarioMerger: return self._merger def discover_scenarios(self) -> List[str]: - """ - Find all scenario directories. - - Returns: - List of scenario names (directory names containing scenario files) - """ + """List directories containing the configured scenario filename.""" if not self.topologies_dir.exists(): return [] return sorted( @@ -92,17 +74,10 @@ def run( force: bool = False, dry_run: bool = False, ) -> Dict[str, Any]: - """ - Run scenarios with given seeds. - - Args: - scenarios: List of scenario names to run (default: all discovered) - seeds: List of random seeds (default: [42, 43, 44]) - force: Re-run even if results exist - dry_run: Only generate merged scenarios, don't run ngraph + """Run selected scenarios and return counts by outcome. - Returns: - Dict with overall run statistics + Defaults to all discovered scenarios and seeds 42, 43, 44. ``force`` bypasses + the result cache; ``dry_run`` writes merged YAML without simulating. """ if scenarios is None: scenarios = self.discover_scenarios() @@ -114,6 +89,7 @@ def run( "total_ran": 0, "total_cached": 0, "total_failed": 0, + "total_prepared": 0, } for scenario in scenarios: @@ -122,6 +98,7 @@ def run( overall_stats["total_ran"] += stats["ran"] overall_stats["total_cached"] += stats["cached"] overall_stats["total_failed"] += stats["failed"] + overall_stats["total_prepared"] += stats["prepared"] return overall_stats @@ -132,19 +109,18 @@ def run_scenario( force: bool = False, dry_run: bool = False, ) -> Dict[str, Any]: - """ - Run a single scenario with given seeds. - - Args: - scenario: Name of scenario directory - seeds: List of random seeds to run - force: Re-run even if results exist - dry_run: Only generate merged scenario, don't run ngraph + """Run one scenario across seeds and return counts by outcome. - Returns: - Dict with run statistics for this scenario + ``force`` bypasses the result cache; ``dry_run`` only writes merged YAML. """ - stats = {"scenario": scenario, "seeds": [], "cached": 0, "ran": 0, "failed": 0} + stats = { + "scenario": scenario, + "seeds": [], + "cached": 0, + "ran": 0, + "failed": 0, + "prepared": 0, + } for seed in seeds: result = self._run_seed(scenario, seed, force, dry_run) @@ -153,10 +129,11 @@ def run_scenario( stats["cached"] += 1 elif result["status"] == "success": stats["ran"] += 1 + elif result["status"] == "dry_run": + stats["prepared"] += 1 else: stats["failed"] += 1 - # Write provenance self._write_provenance(scenario, seeds, stats) return stats @@ -175,59 +152,30 @@ def _run_seed( scenario_file = seed_dir / f"{scenario}__seed{seed}_scenario.yml" results_file = seed_dir / f"{scenario}__seed{seed}_scenario.results.json" - # Skip if cached - if results_file.exists() and not force: - logger.info("[cached] %s seed=%d", scenario, seed) - print(f" [cached] {scenario} seed={seed}") - return {"status": "cached", "results_file": str(results_file)} - - # Merge and write scenario with seed scenario_path = self.topologies_dir / scenario / self.scenario_filename - merged = self.merger.merge(scenario_path, seed=seed) - - with open(scenario_file, "w") as f: - yaml.safe_dump(merged, f, sort_keys=False, default_flow_style=False) + try: + merged = self.merger.merge(scenario_path, seed=seed) + text = yaml.safe_dump(merged, sort_keys=False) + except (ValueError, OSError, yaml.YAMLError) as exc: + invalidate_results(results_file) + scenario_file.unlink(missing_ok=True) + return {"status": "invalid", "error": str(exc)} + if not scenario_file.exists() or scenario_file.read_text() != text: + invalidate_results(results_file) + write_text_atomic(scenario_file, text) if dry_run: logger.info("[dry-run] %s seed=%d -> %s", scenario, seed, scenario_file) print(f" [dry-run] {scenario} seed={seed} -> {scenario_file}") return {"status": "dry_run", "scenario_file": str(scenario_file)} - # Validate with ngraph inspect - logger.info("[inspect] %s seed=%d", scenario, seed) - print(f" [inspect] {scenario} seed={seed}") - result = subprocess.run( - ["ngraph", "inspect", str(scenario_file)], - capture_output=True, - text=True, - ) - if result.returncode != 0: - logger.error("[FAILED] inspect: %s", result.stderr.strip()) - print(f" [FAILED] inspect: {result.stderr.strip()}") - error_log = seed_dir / f"{scenario}__seed{seed}_error.log" - with open(error_log, "w") as f: - f.write(f"ngraph inspect failed:\n{result.stderr}") - return {"status": "inspect_failed", "error": result.stderr} - - # Run ngraph - logger.info("[running] %s seed=%d", scenario, seed) - print(f" [running] {scenario} seed={seed}") - result = subprocess.run( - ["ngraph", "run", str(scenario_file), "-r", str(results_file)], - capture_output=True, - text=True, - ) - if result.returncode != 0: - logger.error("[FAILED] run: %s", result.stderr.strip()) - print(f" [FAILED] run: {result.stderr.strip()}") - error_log = seed_dir / f"{scenario}__seed{seed}_error.log" - with open(error_log, "w") as f: - f.write(f"ngraph run failed:\n{result.stderr}") - return {"status": "run_failed", "error": result.stderr} - - logger.info("[done] %s seed=%d", scenario, seed) - print(f" [done] {scenario} seed={seed}") - return {"status": "success", "results_file": str(results_file)} + outcome = run_simulation(scenario_file, results_path=results_file, force=force) + logger.info("[%s] %s seed=%d", outcome.status, scenario, seed) + return { + "status": outcome.status, + "results_file": str(results_file), + "error": outcome.error, + } def _write_provenance( self, @@ -243,22 +191,13 @@ def _write_provenance( "timestamp": datetime.now().isoformat(), "stats": stats, } - with open(provenance_file, "w") as f: - json.dump(provenance, f, indent=2) + write_json_atomic(provenance_file, provenance) def get_results_files( self, scenarios: Optional[List[str]] = None, ) -> Dict[str, List[Path]]: - """ - Get all results files grouped by scenario. - - Args: - scenarios: List of scenarios to include (default: all discovered) - - Returns: - Dict mapping scenario names to lists of results file paths - """ + """Return result paths grouped by scenario; default to all discovered scenarios.""" if scenarios is None: scenarios = self.discover_scenarios() diff --git a/netlab/log_config.py b/netlab/log_config.py index 11c00d2..43a8131 100644 --- a/netlab/log_config.py +++ b/netlab/log_config.py @@ -8,59 +8,35 @@ def get_logger(name: str) -> logging.Logger: - """Return a module-level logger. - - Args: - name: Logger name, typically ``__name__``. - - Returns: - A logger instance bound to ``name``. - """ + """Return a logger for ``name``, usually the caller's ``__name__``.""" return logging.getLogger(name) def set_global_log_level(level: int | str) -> None: - """Set the global logging level for NetLab-related loggers. - - Args: - level: Logging level (e.g., ``logging.DEBUG`` or ``"INFO"``). - """ + """Set NetLab logger levels, preserving existing application handlers.""" resolved: int if isinstance(level, int): resolved = level else: - # Map common names to numeric levels; default to INFO on unknown try: resolved = int(getattr(logging, str(level).upper())) - except Exception: + except (AttributeError, ValueError, TypeError): resolved = logging.INFO - # Configure root logger logging.basicConfig( level=resolved, format="%(asctime)s [%(levelname)s] %(name)s: %(message)s", datefmt="%H:%M:%S", stream=sys.stderr, - force=True, ) - # Set level for NetLab packages explicitly - for pkg in ("netlab", "metrics"): - logging.getLogger(pkg).setLevel(resolved) + logging.getLogger("netlab").setLevel(resolved) def configure_from_env( var_name: str = "NETLAB_LOG_LEVEL", default: int | str = logging.INFO ) -> None: - """Configure logging using an environment variable. - - If ``var_name`` is present in the environment, its value is used as the - desired log level; otherwise ``default`` is applied. - - Args: - var_name: Environment variable name to read (default: ``NETLAB_LOG_LEVEL``). - default: Level to use when the variable is unset or invalid. - """ + """Set the level from ``var_name``; use ``default`` if unset, INFO if invalid.""" value = os.environ.get(var_name) if value is None or value.strip() == "": set_global_log_level(default) diff --git a/metrics/__init__.py b/netlab/metrics/__init__.py similarity index 100% rename from metrics/__init__.py rename to netlab/metrics/__init__.py diff --git a/netlab/metrics/aggregate.py b/netlab/metrics/aggregate.py new file mode 100644 index 0000000..2474f91 --- /dev/null +++ b/netlab/metrics/aggregate.py @@ -0,0 +1,22 @@ +"""Cross-seed summaries of scalar estimands. + +Failure pattern positions are not paired observations across independent seeds. +Distribution comparisons must evaluate survival curves on common thresholds. +""" + +from __future__ import annotations + +import numpy as np + + +def summarize_across_seeds(values_by_seed: dict[int, float]) -> dict: + values = np.array([float(v) for v in values_by_seed.values() if v is not None]) + values = values[np.isfinite(values)] + if not len(values): + return {} + return { + "type": "scalar", + "median": float(np.median(values)), + "q25": float(np.percentile(values, 25)), + "q75": float(np.percentile(values, 75)), + } diff --git a/netlab/metrics/analysis.py b/netlab/metrics/analysis.py new file mode 100644 index 0000000..3d87230 --- /dev/null +++ b/netlab/metrics/analysis.py @@ -0,0 +1,82 @@ +#!/usr/bin/env python3 +"""Compute metrics for one simulation result.""" + +from __future__ import annotations + +from pathlib import Path +from typing import Optional, Tuple + +import numpy as np + +from netlab.metrics.bac import BacResult, compute_bac, plot_bac +from netlab.metrics.costpower import ( + CostPowerResult, + compute_cost_power, + plot_cost_power, +) +from netlab.metrics.iterops import IterOpsResult, compute_iter_ops +from netlab.metrics.latency import LatencyResult, compute_latency_stretch, plot_latency +from netlab.metrics.msd import AlphaResult, compute_alpha_star +from netlab.metrics.sps import SpsResult, compute_sps + +from .validation import ( + _require_steps, + _validate_alpha_and_base_demands, + _validate_maxflow_baseline, + _validate_tm_placement_baseline, +) + + +def analyze_one_seed( + results: dict, out_dir: Path, do_plots: bool, *, enable_maxflow: bool = False +) -> Tuple[ + AlphaResult, + BacResult, + Optional[BacResult], + LatencyResult, + CostPowerResult, + IterOpsResult, + Optional[SpsResult], +]: + _require_steps(results, enable_maxflow) + expected_total_at_alpha = _validate_alpha_and_base_demands(results) + _validate_tm_placement_baseline(results, expected_total_at_alpha) + if enable_maxflow: + _validate_maxflow_baseline(results) + + alpha = compute_alpha_star(results) + + bac_place = compute_bac(results, step_name="tm_placement", mode="auto") + bac_max = ( + compute_bac(results, step_name="node_to_node_capacity_matrix", mode="auto") + if enable_maxflow + else None + ) + + latency = compute_latency_stretch(results) + iterops = compute_iter_ops(results) + + sps_res: Optional[SpsResult] = None + if enable_maxflow: + sps_res = compute_sps(results) + + offered_alpha_star = None + if not np.isnan(alpha.base_total_demand) and np.isfinite(alpha.alpha_star): + offered_alpha_star = float(alpha.base_total_demand * alpha.alpha_star) + reliable_p999 = bac_place.bw_at_probability_abs.get(99.9, np.nan) + costpower = compute_cost_power( + results, offered_demand=offered_alpha_star, reliable_at_p999=reliable_p999 + ) + + if do_plots: + if out_dir: + out_dir.mkdir(parents=True, exist_ok=True) + plot_bac( + bac_place, + overlay=bac_max if bac_max is not None else None, + save_to=out_dir / "bac.png", + ) + plot_latency(latency, save_to=out_dir / "latency.png") + plot_cost_power(costpower, save_to=out_dir / "costpower.png") + + return alpha, bac_place, bac_max, latency, costpower, iterops, sps_res diff --git a/metrics/bac.py b/netlab/metrics/bac.py similarity index 78% rename from metrics/bac.py rename to netlab/metrics/bac.py index a7e993a..b44c1e7 100644 --- a/metrics/bac.py +++ b/netlab/metrics/bac.py @@ -10,7 +10,8 @@ import pandas as pd import seaborn as sns -from .common import expand_flow_results +from .common import expand_flow_results, pair_totals +from .distributions import availability_curve, curve_on_grid, threshold_at_probability @dataclass @@ -21,7 +22,7 @@ class BacResult: failure_ids: List[str] offered: float # baseline delivered bandwidth quantiles_abs: Dict[float, float] - quantiles_pct: Dict[float, float] # normalized by offered (0..1) + quantiles_pct: Dict[float, float] # normalized by baseline delivery, uncapped availability_at_pct_of_offer: Dict[float, float] # {90: 0.97, ...} auc_normalized: float # mean(min(delivered/offered, 1.0)) bw_at_probability_abs: Dict[float, float] @@ -70,14 +71,7 @@ def _detect_mode(results: dict, step_name: str, mode: str) -> str: def _sum_delivered(iteration: dict) -> float: """Sum placed bandwidth across all flows in one iteration result.""" - total = 0.0 - for rec in iteration.get("flows", []) or []: - src = rec.get("source", "") - dst = rec.get("destination", "") - if not src or not dst or src == dst: - continue - total += float(rec.get("placed", 0.0)) - return total + return sum(pair_totals(iteration, "placed").values()) _QUANTILE_PROBS = (0.50, 0.90, 0.95, 0.99, 0.999, 0.9999) @@ -103,7 +97,7 @@ def _compute_bac_stats( if offered > 0: for p in _QUANTILE_PROBS: val = float(series.quantile(p, interpolation="lower") / offered) - q_pct[p] = float(min(val, 1.0)) + q_pct[p] = val avail: Dict[float, float] = {} if offered > 0 and len(series) > 0: @@ -115,15 +109,11 @@ def _compute_bac_stats( bw_abs: Dict[float, float] = {} bw_pct: Dict[float, float] = {} for p in _AVAIL_THRESHOLDS: - q = max(0.0, 1.0 - (p / 100.0)) - try: - t_abs = float(series.quantile(q, interpolation="lower")) - except Exception: - t_abs = float("nan") + t_abs = threshold_at_probability(series.to_numpy(), p) bw_abs[p] = t_abs bw_pct[p] = float(t_abs / offered) if offered > 0 else float("nan") - auc_norm = 1.0 + auc_norm = float("nan") if offered > 0 and len(series) > 0: norm = series.astype(float) / offered auc_norm = float(norm.clip(upper=1.0).mean()) @@ -150,18 +140,6 @@ def _flow_label(flow_source: str, flow_destination: str) -> str: return f"{flow_source}>{flow_destination}" -def _delivered_by_pair(iteration: dict) -> Dict[Tuple[str, str], float]: - """Sum delivered volume by direction, including multiple priority classes.""" - pairs: Dict[Tuple[str, str], float] = {} - for rec in iteration.get("flows", []) or []: - src = rec.get("source", "") - dst = rec.get("destination", "") - if src and dst and src != dst: - pair = (src, dst) - pairs[pair] = pairs.get(pair, 0.0) + float(rec.get("placed", 0.0)) - return pairs - - def compute_bac(results: dict, step_name: str, mode: str = "auto") -> BacResult: mode = _detect_mode(results, step_name, mode) data = _get_step(results, step_name) @@ -170,18 +148,15 @@ def compute_bac(results: dict, step_name: str, mode: str = "auto") -> BacResult: if not isinstance(baseline, dict): raise ValueError(f"{step_name}: data.baseline dict required") flow_results = data.get("flow_results", []) - if not isinstance(flow_results, list) or not flow_results: - raise ValueError(f"No flow_results for step: {step_name}") + if not isinstance(flow_results, list): + raise ValueError(f"flow_results must be a list for step: {step_name}") - # Baseline determines offered bandwidth offered = _sum_delivered(baseline) - if not np.isfinite(offered) or offered <= 0: - raise ValueError(f"{step_name}: baseline delivered must be finite and > 0") + if not np.isfinite(offered) or offered < 0: + raise ValueError(f"{step_name}: baseline delivered must be finite and >= 0") - # Expand deduplicated patterns by occurrence_count expanded = expand_flow_results(flow_results) - # ── Aggregate series ── delivered = [offered] fids: List[str] = ["baseline"] for idx, it in enumerate(expanded): @@ -193,11 +168,10 @@ def compute_bac(results: dict, step_name: str, mode: str = "auto") -> BacResult: q_abs, q_pct, avail, auc_norm, bw_abs, bw_pct = _compute_bac_stats(s, offered) - # ── Per-flow series ── # Aggregate priority classes by source/destination pair. flow_map = { pair: placed - for pair, placed in _delivered_by_pair(baseline).items() + for pair, placed in pair_totals(baseline, "placed").items() if placed > 0 } labels = {pair: _flow_label(*pair) for pair in flow_map} @@ -205,13 +179,12 @@ def compute_bac(results: dict, step_name: str, mode: str = "auto") -> BacResult: per_flow: Dict[str, BacResult] = {} if len(flow_map) > 1: - # Only compute per-flow when there are multiple flows to separate flow_series: Dict[Tuple[str, str], List[float]] = { pair: [bl_placed] for pair, bl_placed in flow_map.items() } for it in expanded: - it_flows = _delivered_by_pair(it) + it_flows = pair_totals(it, "placed") for pair in flow_map: flow_series[pair].append(it_flows.get(pair, 0.0)) @@ -254,17 +227,10 @@ def compute_bac(results: dict, step_name: str, mode: str = "auto") -> BacResult: ) -def _availability_curve(series: pd.Series) -> Tuple[np.ndarray, np.ndarray]: - xs = np.sort(np.asarray(series.values, dtype=float)) - cdf = np.arange(1, len(xs) + 1) / len(xs) - avail = 1.0 - cdf - return xs, avail - - def plot_bac( bac: BacResult, overlay: Optional[BacResult] = None, save_to: Optional[Path] = None ) -> None: - x, a = _availability_curve(bac.series) + x, a = availability_curve(bac.series.to_numpy()) if bac.offered > 0: x_plot = (x / bac.offered) * 100.0 x_label = "Delivered bandwidth (% of offered)" @@ -272,17 +238,22 @@ def plot_bac( x_plot = x x_label = "Delivered bandwidth (Gbps)" - plt.figure() - sns.lineplot( - x=x_plot, y=a, drawstyle="steps-post", label=f"{bac.mode.capitalize()}" + grid = np.unique( + np.r_[0.0, x_plot, max(100.0 if bac.offered > 0 else 1.0, max(x_plot))] ) + a = curve_on_grid(x_plot, a, grid) + x_plot = grid + plt.figure(figsize=(8, 5), dpi=300) + sns.lineplot(x=x_plot, y=a, drawstyle="steps-pre", label=f"{bac.mode.capitalize()}") if overlay is not None: - xo, ao = _availability_curve(overlay.series) + xo, ao = availability_curve(overlay.series.to_numpy()) if bac.offered > 0 and overlay.offered > 0: xo = (xo / overlay.offered) * 100.0 + grid_o = np.unique(np.r_[0.0, xo, max(grid[-1], max(xo))]) + ao = curve_on_grid(xo, ao, grid_o) sns.lineplot( - x=xo, y=ao, drawstyle="steps-post", label=f"{overlay.mode.capitalize()}" + x=grid_o, y=ao, drawstyle="steps-pre", label=f"{overlay.mode.capitalize()}" ) plt.xlabel(x_label) @@ -293,5 +264,5 @@ def plot_bac( plt.grid(True, linestyle=":", linewidth=0.5) if save_to is not None: save_to.parent.mkdir(parents=True, exist_ok=True) - plt.savefig(save_to) + plt.savefig(save_to, dpi=300, bbox_inches="tight") plt.close() diff --git a/netlab/metrics/batch.py b/netlab/metrics/batch.py new file mode 100644 index 0000000..cc61fdd --- /dev/null +++ b/netlab/metrics/batch.py @@ -0,0 +1,694 @@ +#!/usr/bin/env python3 +"""Aggregate selected simulations and publish a complete metrics report.""" + +from __future__ import annotations + +import io +import json +import logging +import os +import platform +import re +import sys +import tempfile +from contextlib import redirect_stdout +from dataclasses import dataclass, field +from datetime import datetime, timezone +from importlib.metadata import version +from pathlib import Path +from typing import Any, Dict, List, Optional, Tuple + +import numpy as np +import pandas as pd + +import netlab.metrics.summary as summary_mod +from netlab.artifacts import ( + package_versions, + sha256_file, + write_csv_atomic, +) +from netlab.metrics.aggregate import ( + summarize_across_seeds, +) +from netlab.metrics.bac import BacResult +from netlab.metrics.costpower import ( + CostPowerResult, +) +from netlab.metrics.iterops import IterOpsResult +from netlab.metrics.latency import LatencyResult +from netlab.metrics.matrixdump import compute_pair_matrices +from netlab.metrics.msd import AlphaResult +from netlab.metrics.sps import SpsResult + +from .analysis import analyze_one_seed +from .common import write_metric_json as write_json_atomic +from .distributions import availability_curve, curve_on_grid, threshold_at_probability + + +def _safe_float(x: object) -> float: + try: + return float(x) # type: ignore[arg-type] + except (ValueError, TypeError, KeyError, OSError): + return float("nan") + + +SEED_STEM_RE = re.compile(r"^(?P.+)__seed(?P-?\d+)_scenario$") + + +def load_json(path: Path) -> dict: + with path.open("r", encoding="utf-8") as f: + return json.load(f) + + +def find_results_files(root: Path) -> List[Path]: + return sorted(root.rglob("*.results.json")) + + +def parse_seeded_stem(stem: str) -> Tuple[str, Optional[int]]: + m = SEED_STEM_RE.match(stem) + if not m: + return stem, None + return m.group("stem"), int(m.group("seed")) + + +def group_by_scenario(files: List[Path]) -> Dict[str, Dict[int, Path]]: + grouped: Dict[str, Dict[int, Path]] = {} + for p in files: + s = p.stem + if s.endswith(".results"): + s = s[:-8] + scenario_stem, seed = parse_seeded_stem(s) + data = load_json(p) + recorded_seed = data.get("scenario", {}).get("seed") + if recorded_seed is not None and ( + type(recorded_seed) is not int + or (seed is not None and seed != recorded_seed) + ): + raise ValueError( + f"Scenario seed disagrees with filename or is not an integer: {p}" + ) + if seed is None: + seed_val = data.get("scenario", {}).get("seed") + if seed_val is None: + raise ValueError(f"Missing 'scenario.seed' in results file: {p}") + try: + if type(seed_val) is not int: + raise ValueError("seed must be an integer") + seed = seed_val + except (ValueError, TypeError, KeyError, OSError) as e: + raise ValueError( + f"Non-integer 'scenario.seed' in results file {p}: {seed_val}" + ) from e + scenario_files = grouped.setdefault(scenario_stem, {}) + if seed in scenario_files: + raise ValueError( + f"Duplicate scenario/seed {scenario_stem}/{seed}: {scenario_files[seed]} and {p}" + ) + scenario_files[seed] = p + return grouped + + +@dataclass +class ScenarioOutputs: + alpha: Dict[int, AlphaResult] = field(default_factory=dict) + bac_place: Dict[int, BacResult] = field(default_factory=dict) + bac_maxflow: Dict[int, BacResult] = field(default_factory=dict) + latency: Dict[int, LatencyResult] = field(default_factory=dict) + costpower: Dict[int, CostPowerResult] = field(default_factory=dict) + sps: Dict[int, SpsResult] = field(default_factory=dict) + iterops: Dict[int, IterOpsResult] = field(default_factory=dict) + + +def run_metrics( + root: Path, + only: Optional[str] = None, + no_plots: bool = False, + enable_maxflow: bool = False, +) -> None: + """Publish a complete report tree only after every selected input succeeds. + + Each invocation replaces the generated report, including with ``only``. + A failed analysis leaves the previous report and its provenance intact. + """ + root = root.resolve() + out_root = root.parent / f"{root.name}_metrics" + with tempfile.TemporaryDirectory( + prefix=f".{root.name}-metrics-", dir=root.parent + ) as temp: + staged = Path(temp) / out_root.name + log = io.StringIO() + with redirect_stdout(log): + _run_metrics(root, staged, only, no_plots, enable_maxflow) + # Provenance names the published location, not the temporary staging area. + for path in staged.rglob("provenance.json"): + payload = load_json(path) + payload["output_root"] = os.path.relpath(out_root, start=Path.cwd()) + write_json_atomic(path, payload) + backup = Path(temp) / "previous" + if out_root.exists(): + out_root.rename(backup) + try: + staged.rename(out_root) + except BaseException: + if backup.exists(): + backup.rename(out_root) + raise + print(log.getvalue().replace(str(staged), str(out_root)), end="") + + +def _run_metrics( + root: Path, + out_root: Path, + only: str | None, + no_plots: bool, + enable_maxflow: bool, +) -> None: + only_set = set([s.strip() for s in only.split(",") if s.strip()]) if only else None + do_plots = not bool(no_plots) + + files = find_results_files(root) + if not files: + raise FileNotFoundError(f"No *.results.json found under {root}") + + grouped = group_by_scenario(files) + if only_set: + grouped = {k: v for k, v in grouped.items() if k in only_set} + if missing := only_set - set(grouped): + raise ValueError(f"Requested scenarios not found: {sorted(missing)}") + + input_hashes = { + p: sha256_file(p) for mapping in grouped.values() for p in mapping.values() + } + require_maxflow = enable_maxflow + for scenario_stem, seed_map in grouped.items(): + print(f"\n=== Scenario: {scenario_stem} (seeds={sorted(seed_map)}) ===") + scenario_out = ScenarioOutputs() + + for seed, path in sorted(seed_map.items()): + results = load_json(path) + seed_dir = out_root / scenario_stem / f"seed{seed}" + seed_dir.mkdir(parents=True, exist_ok=True) + + alpha, bac_p, bac_m, latency, cp, itops, sps_opt = analyze_one_seed( + results, seed_dir, do_plots, enable_maxflow=enable_maxflow + ) + scenario_out.alpha[seed] = alpha + scenario_out.bac_place[seed] = bac_p + if bac_m is not None: + scenario_out.bac_maxflow[seed] = bac_m + scenario_out.latency[seed] = latency + scenario_out.costpower[seed] = cp + scenario_out.iterops[seed] = itops + + write_csv_atomic( + seed_dir / "bac_series.csv", + bac_p.series.to_frame(name="delivered"), + ) + write_json_atomic(seed_dir / "bac.json", bac_p.to_jsonable()) + write_json_atomic(seed_dir / "alpha.json", alpha.to_jsonable()) + write_json_atomic(seed_dir / "latency.json", latency.to_jsonable()) + write_json_atomic(seed_dir / "costpower.json", cp.to_jsonable()) + write_json_atomic(seed_dir / "iterops.json", itops.to_jsonable()) + if sps_opt is not None: + write_json_atomic(seed_dir / "sps.json", sps_opt.to_jsonable()) + try: + per_it = latency.per_iteration or {} + if per_it: + rows_pi: list[dict] = [] + base_vals = latency.baseline or {} + for metric_key, series in per_it.items(): + if not isinstance(series, list): + continue + for idx, val in enumerate(series): + try: + v = float(val) + except (ValueError, TypeError, KeyError, OSError): + continue + if not np.isfinite(v): + continue + b_raw = base_vals.get(metric_key) + b_val = _safe_float(b_raw) + delta = v - b_val if (pd.notna(b_val)) else float("nan") + ratio = ( + (v / b_val) + if (pd.notna(b_val) and float(b_val) != 0.0) + else float("nan") + ) + drop = (b_val - v) if pd.notna(b_val) else float("nan") + rows_pi.append( + { + "metric": str(metric_key), + "iter": int(idx), + "value": float(v), + "base": float(b_val) + if pd.notna(b_val) + else float("nan"), + "delta": float(delta), + "drop": float(drop), + "ratio": float(ratio), + } + ) + if rows_pi: + df_pi = pd.DataFrame(rows_pi)[ + [ + "metric", + "iter", + "value", + "base", + "delta", + "drop", + "ratio", + ] + ] + write_csv_atomic( + seed_dir / "latency_per_iteration_long.csv", df_pi + ) + except (ValueError, TypeError, KeyError, OSError) as e: + logging.warning( + "Failed to write per-iteration latency CSV for %s: %s", + seed_dir, + e, + ) + tm_abs, tm_norm, mf_abs, mf_norm = compute_pair_matrices( + results, include_maxflow=require_maxflow + ) + if not tm_abs.empty: + write_csv_atomic(seed_dir / "pairs_tm_abs.csv", tm_abs) + if not tm_norm.empty: + write_csv_atomic(seed_dir / "pairs_tm_norm.csv", tm_norm) + if mf_abs is not None and not mf_abs.empty: + write_csv_atomic(seed_dir / "pairs_mf_abs.csv", mf_abs) + if mf_norm is not None and not mf_norm.empty: + write_csv_atomic(seed_dir / "pairs_mf_norm.csv", mf_norm) + + scen_dir = out_root / scenario_stem + scen_dir.mkdir(parents=True, exist_ok=True) + + alpha_summary = summarize_across_seeds( + {k: v.alpha_star for k, v in scenario_out.alpha.items()} + ) + write_json_atomic(scen_dir / "alpha_summary.json", alpha_summary) + + bac_tail = { + "p50": float( + np.nanmedian( + [ + v.quantiles_pct.get(0.50, np.nan) + for v in scenario_out.bac_place.values() + ] + ) + ), + "p90": float( + np.nanmedian( + [ + v.quantiles_pct.get(0.90, np.nan) + for v in scenario_out.bac_place.values() + ] + ) + ), + "p99": float( + np.nanmedian( + [ + v.quantiles_pct.get(0.99, np.nan) + for v in scenario_out.bac_place.values() + ] + ) + ), + "p999": float( + np.nanmedian( + [ + v.quantiles_pct.get(0.999, np.nan) + for v in scenario_out.bac_place.values() + ] + ) + ), + "p9999": float( + np.nanmedian( + [ + v.quantiles_pct.get(0.9999, np.nan) + for v in scenario_out.bac_place.values() + ] + ) + ), + "auc_norm": float( + np.nanmedian( + [v.auc_normalized for v in scenario_out.bac_place.values()] + ) + ), + } + + def _bw_med(pct: float, _scenario_out: ScenarioOutputs = scenario_out) -> float: + vals = [] + for v in _scenario_out.bac_place.values(): + raw = v.bw_at_probability_pct.get(pct) + vals.append(_safe_float(raw)) + return float(np.nanmedian(vals)) if vals else float("nan") + + bac_tail.update( + { + "bw_p90_pct": _bw_med(90.0), + "bw_p95_pct": _bw_med(95.0), + "bw_p99_pct": _bw_med(99.0), + "bw_p999_pct": _bw_med(99.9), + "bw_p9999_pct": _bw_med(99.99), + } + ) + write_json_atomic( + scen_dir / "bac_summary.json", + {"seed_count": len(scenario_out.bac_place), "tail": bac_tail}, + ) + + pooled_samples: list[float] = [] + per_seed_samples: dict[int, list[float]] = {} + for seed, br in scenario_out.bac_place.items(): + offered = float(br.offered) + s = np.asarray(br.series.astype(float).values, dtype=float) + if np.isfinite(offered) and offered > 0.0 and s.size > 0: + norm = (s / offered) * 100.0 + vals = [float(x) for x in norm if np.isfinite(x)] + if vals: + pooled_samples.extend(vals) + per_seed_samples[seed] = vals + + pooled_tail = {} + grid = np.linspace(0.0, 100.0, 401) + pooled_grid_x = [] + pooled_grid_a = [] + iqr_q25 = [] + iqr_q75 = [] + if pooled_samples: + samples = np.asarray(pooled_samples, dtype=float) + xs, avail = availability_curve(samples) + pooled_grid_x = xs.tolist() + pooled_grid_a = avail.tolist() + for p in (90.0, 95.0, 99.0, 99.9, 99.99): + thr = threshold_at_probability(samples, p) + pooled_tail[f"bw_p{str(p).rstrip('0').rstrip('.')}__pct"] = thr / 100.0 + pooled_tail["auc_norm"] = float(np.mean(np.minimum(samples / 100.0, 1.0))) + + if len(per_seed_samples) >= 3: + mat = [] + for vals in per_seed_samples.values(): + sv = np.sort(np.asarray(vals, dtype=float)) + a_on_grid = curve_on_grid(*availability_curve(sv), grid) + mat.append(a_on_grid) + mat = np.asarray(mat, dtype=float) + iqr_q25 = np.nanpercentile(mat, 25, axis=0).tolist() + iqr_q75 = np.nanpercentile(mat, 75, axis=0).tolist() + + pooled_payload = { + "pooled_tail": pooled_tail, + "pooled_grid": {"x_pct": pooled_grid_x, "availability": pooled_grid_a}, + } + if iqr_q25 and iqr_q75: + pooled_payload["pooled_iqr"] = { + "x_pct": grid.tolist(), + "a_q25": iqr_q25, + "a_q75": iqr_q75, + } + path = scen_dir / "bac_summary.json" + cur = json.loads(path.read_text(encoding="utf-8")) if path.exists() else {} + cur.update(pooled_payload) + write_json_atomic(path, cur) + + rows = [] + for seed, s in scenario_out.latency.items(): + b = s.baseline or {} + f = s.failures or {} + d = s.derived or {} + rows.append( + { + "seed": seed, + "base_p50": _safe_float(b.get("p50")), + "fail_p99": _safe_float(f.get("p99")), + "TD99": _safe_float(d.get("TD99")), + "SLO_1_2_drop": _safe_float(d.get("SLO_1_2_drop")), + "best_path_share_drop": _safe_float(d.get("best_path_share_drop")), + "WES_delta": _safe_float(d.get("WES_delta")), + } + ) + if rows: + lat_sum = pd.DataFrame(rows).set_index("seed").sort_index() + write_csv_atomic(scen_dir / "latency_summary.csv", lat_sum) + + try: + for metric in ("p95", "p99"): + pooled: list[float] = [] + seed_curves: list[np.ndarray] = [] + grid = np.linspace(1.0, 5.0, 401) + for _seed, s in sorted(scenario_out.latency.items()): + per_it = s.per_iteration or {} + series = per_it.get(metric) + if not isinstance(series, list) or not series: + continue + vals: list[float] = [] + for v in series: + try: + vv = float(v) + except (ValueError, TypeError, KeyError, OSError): + continue + if np.isfinite(vv): + vals.append(vv) + if not vals: + continue + pooled.extend(vals) + xs, a = availability_curve(np.asarray(vals, dtype=float)) + if xs.size > 0 and a.size > 0: + agrid = curve_on_grid(xs, a, grid) + seed_curves.append(agrid) + + if not pooled: + continue + + x_sorted, a_sorted = availability_curve(np.asarray(pooled, dtype=float)) + if x_sorted.size > 0 and a_sorted.size > 0: + df_exc = pd.DataFrame( + { + "x": x_sorted.astype(float), + "availability": a_sorted.astype(float), + } + ) + write_csv_atomic( + scen_dir / f"latency_pooled_exceedance_{metric}.csv", df_exc + ) + + if len(seed_curves) >= 3: + mat = np.vstack(seed_curves) + q25 = np.nanpercentile(mat, 25, axis=0) + q75 = np.nanpercentile(mat, 75, axis=0) + df_iqr = pd.DataFrame( + { + "x": grid.astype(float), + "a_q25": q25.astype(float), + "a_q75": q75.astype(float), + } + ) + write_csv_atomic( + scen_dir / f"latency_pooled_iqr_{metric}.csv", df_iqr + ) + except (ValueError, TypeError, KeyError, OSError) as e: + logging.warning( + "Failed to write pooled latency exceedance CSVs for %s: %s", + scen_dir, + e, + ) + + io_rows = [] + for seed, it in scenario_out.iterops.items(): + ser = it.flat_series() + rec: Dict[str, float] = {"seed": float(seed)} + for k, v in ser.items(): + rec[str(k)] = float(v) if pd.notna(v) else float("nan") + io_rows.append(rec) + if io_rows: + io_df = pd.DataFrame(io_rows).set_index("seed").sort_index() + write_csv_atomic(scen_dir / "iterops_summary.csv", io_df) + + ns_rows = [] + for seed, path in sorted(seed_map.items()): + res2 = load_json(path) + ns = res2.get("steps", {}).get("network_statistics", {}).get("data", {}) + if not ns: + raise ValueError(f"Missing network_statistics.data in {path}") + if ns.get("node_count") is None or ns.get("link_count") is None: + raise ValueError( + f"Incomplete network_statistics (node/link counts) in {path}" + ) + if any( + type(ns[key]) is not int or ns[key] < 0 + for key in ("node_count", "link_count") + ): + raise ValueError(f"Network counts must be nonnegative integers: {path}") + ns_rows.append( + { + "seed": seed, + "node_count": int(ns.get("node_count")), + "link_count": int(ns.get("link_count")), + } + ) + ns_df = pd.DataFrame(ns_rows).set_index("seed").sort_index() + write_csv_atomic(scen_dir / "network_stats_summary.csv", ns_df) + + provenance: dict[str, Any] = { + "generated_at": datetime.now(timezone.utc).isoformat(), + "python": sys.version, + "platform": platform.platform(), + "scenarios_root": os.path.relpath(root, start=Path.cwd()), + "output_root": os.path.relpath(out_root, start=Path.cwd()), + } + provenance["packages"] = _metric_package_versions() + + write_json_atomic(scen_dir / "provenance.json", provenance) + + cp_df = pd.DataFrame( + { + seed: scenario_out.costpower[seed].flat_series() + for seed in sorted(scenario_out.costpower) + } + ).T + write_csv_atomic(scen_dir / "costpower_summary.csv", cp_df) + + if do_plots: + from netlab.metrics.plot_cross_seed_bac import ( + plot_cross_seed_bac as _plot_cross_seed_bac, + ) + from netlab.metrics.plot_cross_seed_iterops import ( + plot_cross_seed_iterops as _plot_cross_seed_iterops, + ) + from netlab.metrics.plot_cross_seed_latency import ( + plot_cross_seed_latency as _plot_cross_seed_latency, + ) + + scen_bac_png = scen_dir / "BAC.png" + res_bac = _plot_cross_seed_bac( + out_root, only=[scenario_stem], save_to=scen_bac_png + ) + if res_bac is None: + print(f"{scenario_stem}: normalized BAC unavailable (zero baseline)") + + scen_lat_png = scen_dir / "Latency_p99.png" + res_lat = _plot_cross_seed_latency( + out_root, metric="p99", only=[scenario_stem], save_to=scen_lat_png + ) + if res_lat is None: + print(f"{scenario_stem}: latency unavailable (no referenced delivery)") + + scen_iterops_png = scen_dir / "IterationOps.png" + res_iter = _plot_cross_seed_iterops( + out_root, only=[scenario_stem], save_to=scen_iterops_png + ) + if res_iter is None: + raise ValueError( + f"No iterops data found to plot for scenario '{scenario_stem}'" + ) + + df = summary_mod.build_project_summary_table(out_root) + if df.empty: + print("(no scenarios summarized)") + return + project_csv = out_root / "project.csv" + write_csv_atomic(project_csv, df.reset_index()) + base_df = summary_mod.build_baseline_normalized_table(out_root) + if not base_df.empty: + write_csv_atomic( + (out_root / "project_baseline_normalized.csv"), + base_df.reset_index(), + ) + summary_mod.write_normalized_insights_csv(out_root) + summary_mod.write_normalized_per_seed_csv(out_root) + summary_mod.write_project_per_seed_abs_csv(out_root) + + summary_txt = out_root / "summary.txt" + buf = io.StringIO() + with redirect_stdout(buf): + import pandas as _pd + + df_proj = _pd.read_csv(project_csv).set_index("scenario") + summary_mod.print_pretty_table(df_proj, title="Consolidated project metrics") + print("\n\n") + base_csv = out_root / "project_baseline_normalized.csv" + if base_csv.exists(): + df_norm = _pd.read_csv(base_csv).set_index("scenario") + summary_mod.print_pretty_table( + df_norm, + title="Baseline-normalized metrics (scenario / baseline)", + ) + print("\n\n") + summary_mod._print_normalized_insights(out_root) + summary_mod.write_normalized_insights_csv(out_root) + print("\n\n") + text = buf.getvalue() + summary_txt.write_text(text, encoding="utf-8") + print(f"Wrote text summary: {summary_txt}") + print(text, end="") + print(f"Wrote project CSV: {project_csv}") + + if any(sha256_file(path) != digest for path, digest in input_hashes.items()): + raise ValueError( + "Source results changed during metric analysis; rerun on stable inputs" + ) + selected_files = list(input_hashes) + metrics_provenance = _create_metrics_provenance( + root, out_root, selected_files, only + ) + metrics_provenance["settings"] = { + "enable_maxflow": enable_maxflow, + "plots": do_plots, + } + + for scenario_stem, seed_map in grouped.items(): + metrics_provenance["scenarios_analyzed"].append(scenario_stem) + metrics_provenance["seeds_analyzed"][scenario_stem] = sorted(seed_map.keys()) + + provenance_path = out_root / "provenance.json" + write_json_atomic(provenance_path, metrics_provenance) + print(f"📋 Metrics provenance saved to: {provenance_path}") + + +def _create_metrics_provenance( + root: Path, out_root: Path, files: List[Path], only: Optional[str] = None +) -> Dict[str, Any]: + """Record source files, hashes, and settings for a metrics run.""" + cwd = Path.cwd() + provenance: Dict[str, Any] = { + "generated_at": datetime.now(timezone.utc).isoformat(), + "python": sys.version, + "platform": platform.platform(), + "command": "metrics", + "source_root": os.path.relpath(root, start=cwd), + "output_root": os.path.relpath(out_root, start=cwd), + "source_files": {}, + "scenarios_analyzed": [], + "seeds_analyzed": {}, + } + + provenance["packages"] = _metric_package_versions() + + for file_path in files: + try: + file_hash = sha256_file(file_path) + rel_path = os.path.relpath(file_path, start=cwd) + provenance["source_files"][rel_path] = { + "path": rel_path, + "sha256": file_hash, + "size_bytes": file_path.stat().st_size, + } + except (ValueError, TypeError, KeyError, OSError) as e: + logging.warning("Failed to hash source file %s: %s", file_path, e) + rel_path = os.path.relpath(file_path, start=cwd) + provenance["source_files"][rel_path] = { + "path": rel_path, + "hash_error": str(e), + } + + if only: + provenance["only_scenarios"] = [s.strip() for s in only.split(",") if s.strip()] + + return provenance + + +def _metric_package_versions() -> dict: + packages = package_versions() + for name in ("numpy", "pandas", "scipy", "matplotlib", "seaborn"): + packages[name] = {"version": version(name)} + return packages diff --git a/netlab/metrics/common.py b/netlab/metrics/common.py new file mode 100644 index 0000000..fe5399b --- /dev/null +++ b/netlab/metrics/common.py @@ -0,0 +1,128 @@ +"""Shared utilities for metrics modules.""" + +from __future__ import annotations + +import math +from pathlib import Path +from typing import Any, Dict, List, Tuple + +from netlab.artifacts import write_json_atomic + + +def nonnegative_number(value: object, field: str) -> float: + if isinstance(value, bool): + raise ValueError(f"{field} must be a finite nonnegative number") + try: + number = float(value) # type: ignore[arg-type] + except (ValueError, TypeError) as exc: + raise ValueError(f"{field} must be a finite nonnegative number") from exc + if not math.isfinite(number) or number < 0: + raise ValueError(f"{field} must be a finite nonnegative number") + return number + + +def pair_totals(iteration: dict, field: str) -> dict[tuple[str, str], float]: + """Sum priority classes for each exact directed endpoint pair.""" + totals: dict[tuple[str, str], float] = {} + flows = iteration.get("flows") + if not isinstance(flows, list): + raise ValueError("Flow iteration requires a flows list") + for record in flows: + source, target = record["source"], record["destination"] + if not source or not target or source == target: + continue + pair = (source, target) + totals[pair] = totals.get(pair, 0.0) + nonnegative_number(record[field], field) + return totals + + +def flow_occurrence_count(iteration: dict) -> int: + """Read the required positive integer weight of a flow result.""" + count = iteration.get("occurrence_count") + if type(count) is not int or count < 1: + raise ValueError("flow result occurrence_count must be a positive integer") + return count + + +def expand_flow_results(flow_results: list[dict]) -> list[dict]: + """Repeat each failure pattern by its ``occurrence_count``. + + NetGraph stores identical patterns once. Expansion gives each simulated + iteration equal weight in downstream statistics. + """ + expanded: list[dict] = [] + for it in flow_results: + count = flow_occurrence_count(it) + expanded.extend([it] * count) + return expanded + + +def baseline_demand_map( + results: dict, step_name: str = "tm_placement" +) -> Dict[Tuple[str, str], float]: + """Extract per-pair baseline demand from a placement step. + + Returns mapping ``(source, destination) -> demand``. + Pairs with zero or negative demand are excluded. + """ + step = results.get("steps", {}).get(step_name, {}) or {} + data = step.get("data", {}) or {} + base = data.get("baseline") + if not isinstance(base, dict): + return {} + return { + pair: demand + for pair, demand in pair_totals(base, "demand").items() + if demand > 0 + } + + +def get_tm_baseline_and_failures( + results: dict, step_name: str = "tm_placement" +) -> Tuple[dict, List[dict]]: + """Extract baseline dict and expanded failure list from a placement step. + + The returned failure list is expanded by ``occurrence_count`` so each + Monte Carlo iteration is represented as a separate entry. + """ + tm_step = results.get("steps", {}).get(step_name, {}) or {} + tm_data = tm_step.get("data", {}) or {} + baseline = tm_data.get("baseline") + if not isinstance(baseline, dict): + raise ValueError(f"{step_name}.data.baseline dict required") + flow_results = tm_data.get("flow_results", []) or [] + if not isinstance(flow_results, list): + raise ValueError(f"{step_name}.data.flow_results must be a list") + return baseline, expand_flow_results(flow_results) + + +def require_capacity_pairs(results: dict) -> None: + """Refuse unrelated MaxFlow group labels instead of reporting false outages.""" + required = set(baseline_demand_map(results)) + data = ( + results.get("steps", {}).get("node_to_node_capacity_matrix", {}).get("data", {}) + ) + baseline = data.get("baseline") + if not isinstance(baseline, dict): + raise ValueError("node_to_node_capacity_matrix baseline required") + available = set(pair_totals(baseline, "placed")) + missing = required - available + if missing: + raise ValueError( + f"MaxFlow baseline does not cover exact placement endpoints: {sorted(missing)}. Use selectors with full endpoint capture groups; grouped capacities cannot be assigned to individual demands." + ) + + +def write_metric_json(path: Path, data: Any) -> None: + """Represent unavailable numeric metrics as JSON null, never NaN/Infinity.""" + + def clean(value: Any) -> Any: + if isinstance(value, float) and not math.isfinite(value): + return None + if isinstance(value, dict): + return {key: clean(item) for key, item in value.items()} + if isinstance(value, (list, tuple)): + return [clean(item) for item in value] + return value + + write_json_atomic(path, clean(data)) diff --git a/netlab/metrics/comparisons.py b/netlab/metrics/comparisons.py new file mode 100644 index 0000000..a90c1d5 --- /dev/null +++ b/netlab/metrics/comparisons.py @@ -0,0 +1,78 @@ +"""Paired comparisons on matching seeds, using the same metrics as project tables.""" + +from __future__ import annotations + +import math +from itertools import combinations +from pathlib import Path +from typing import Any + +import numpy as np + +from .paired import holm_adjust, paired_t +from .seed_data import collect_seed_metrics + +COMPARISON_METRICS = ( + "alpha_star", + "bw_p999_pct", + "lat_fail_p99", + "USD_per_Gbit_p999", + "Watt_per_Gbit_p999", + "capex_total", +) + + +def compare_scenarios( + analysis_root: Path, + *, + alpha: float = 0.05, + scenarios: tuple[str, str] | None = None, +) -> list[dict[str, Any]]: + """Compare A-B; adjust across scenario pairs within each metric family.""" + if not 0 < alpha < 1: + raise ValueError("alpha must lie between zero and one") + directories = sorted( + p for p in analysis_root.iterdir() if p.is_dir() and not p.name.startswith("_") + ) + per_scenario = { + p.name: collect_seed_metrics(p) + for p in directories + if scenarios is None or p.name in scenarios + } + if scenarios is not None and ( + scenarios[0] == scenarios[1] or any(s not in per_scenario for s in scenarios) + ): + raise ValueError( + "Select two distinct scenarios present in the metrics directory" + ) + pairs = [scenarios] if scenarios else list(combinations(per_scenario, 2)) + records = [] + for metric in COMPARISON_METRICS: + comparisons = {} + for a, b in pairs: + common = sorted(per_scenario[a].keys() & per_scenario[b].keys()) + values = [ + ( + per_scenario[a][seed].get(metric, math.nan), + per_scenario[b][seed].get(metric, math.nan), + ) + for seed in common + ] + finite = [ + (a_value, b_value) + for a_value, b_value in values + if math.isfinite(a_value) and math.isfinite(b_value) + ] + if len(finite) < 3: + continue + a_values, b_values = np.asarray(finite).T + result = paired_t(a_values, b_values, alpha=alpha) + result.update(metric=metric, scen_a=a, scen_b=b) + comparisons[a, b] = result + adjusted = holm_adjust( + [(pair, result["p"]) for pair, result in comparisons.items()] + ) + for pair, result in comparisons.items(): + result["p_adj"] = adjusted[pair] + records.append(result) + return records diff --git a/metrics/costpower.py b/netlab/metrics/costpower.py similarity index 75% rename from metrics/costpower.py rename to netlab/metrics/costpower.py index d5e4fe2..4e812d4 100644 --- a/metrics/costpower.py +++ b/netlab/metrics/costpower.py @@ -8,6 +8,8 @@ import numpy as np import pandas as pd +from .common import nonnegative_number + @dataclass class CostPowerResult: @@ -46,14 +48,25 @@ def to_jsonable(self) -> dict: def compute_cost_power( results: dict, - offered_at_alpha1: Optional[float] = None, + offered_demand: Optional[float] = None, reliable_at_p999: Optional[float] = None, ) -> CostPowerResult: cp = results.get("steps", {}).get("cost_power", {}).get("data", {}) or {} levels = cp.get("levels", {}) or {} - root = (levels.get("0") or [{}])[0] - capex_total = float(root.get("capex_total", 0.0)) - power_total = float(root.get("power_total_watts", 0.0)) + roots = levels.get("0", []) + if roots and (not isinstance(roots, list) or len(roots) != 1): + raise ValueError("cost_power requires exactly one root total") + root = roots[0] if roots else {} + capex_total = ( + nonnegative_number(root["capex_total"], "capex_total") + if "capex_total" in root + else float("nan") + ) + power_total = ( + nonnegative_number(root["power_total_watts"], "power_total_watts") + if "power_total_watts" in root + else float("nan") + ) level1 = levels.get("1", []) or [] df = ( @@ -73,14 +86,14 @@ def compute_cost_power( def safe_div(num, den): try: den = float(den) - if den > 0: + if np.isfinite(num) and np.isfinite(den) and den > 0: return float(num) / den - except Exception: + except (ValueError, TypeError, KeyError, OSError): pass return None - usd_per_offered = safe_div(capex_total, offered_at_alpha1) - w_per_offered = safe_div(power_total, offered_at_alpha1) + usd_per_offered = safe_div(capex_total, offered_demand) + w_per_offered = safe_div(power_total, offered_demand) usd_per_p999 = safe_div(capex_total, reliable_at_p999) w_per_p999 = safe_div(power_total, reliable_at_p999) @@ -97,7 +110,9 @@ def safe_div(num, den): def plot_cost_power(cp: CostPowerResult, save_to: Optional[Path] = None) -> None: - plt.figure() + if not (np.isfinite(cp.capex_total) and np.isfinite(cp.power_total_w)): + return + plt.figure(figsize=(8, 5), dpi=300) bars = { "CapEx (USD)": cp.capex_total, "Power (W)": cp.power_total_w, @@ -110,5 +125,5 @@ def plot_cost_power(cp: CostPowerResult, save_to: Optional[Path] = None) -> None plt.text(i, v, f"{v:,.0f}", ha="center", va="bottom", fontsize=8, rotation=0) if save_to is not None: save_to.parent.mkdir(parents=True, exist_ok=True) - plt.savefig(save_to) + plt.savefig(save_to, dpi=300, bbox_inches="tight") plt.close() diff --git a/netlab/metrics/distributions.py b/netlab/metrics/distributions.py new file mode 100644 index 0000000..8fa11de --- /dev/null +++ b/netlab/metrics/distributions.py @@ -0,0 +1,42 @@ +"""Empirical survival curves, with the same inclusive threshold everywhere.""" + +from __future__ import annotations + +from fractions import Fraction +from math import ceil + +import numpy as np + + +def threshold_at_probability(samples: np.ndarray, percent: float) -> float: + """Largest observed t with P(X >= t) >= percent/100. + + Integer ranks and a decimal rational probability avoid floating-point + off-by-one errors at exact sample-count boundaries (e.g. 90% of 10). + """ + values = np.asarray(samples, dtype=float) + if values.ndim != 1 or not len(values) or not np.isfinite(values).all(): + raise ValueError("Expected a nonempty finite one-dimensional sample") + if not 0 < percent <= 100: + raise ValueError("percent must be in (0, 100]") + rank = len(values) - ceil(len(values) * Fraction(str(percent)) / 100) + return float(np.partition(values, rank)[rank]) + + +def availability_curve(samples: np.ndarray) -> tuple[np.ndarray, np.ndarray]: + values = np.asarray(samples, dtype=float) + values = values[np.isfinite(values)] + xs, counts = np.unique(values, return_counts=True) + if not len(xs): + return xs, xs.copy() + return xs, (len(values) - np.cumsum(counts) + counts) / len(values) + + +def curve_on_grid( + xs: np.ndarray, availability: np.ndarray, grid: np.ndarray +) -> np.ndarray: + """Evaluate P(sample >= threshold) without linear interpolation of an ECDF.""" + if not len(xs): + return np.full_like(grid, np.nan, dtype=float) + indices = np.searchsorted(xs, grid, side="left") + return np.append(availability, 0.0)[indices] diff --git a/metrics/iterops.py b/netlab/metrics/iterops.py similarity index 64% rename from metrics/iterops.py rename to netlab/metrics/iterops.py index de8c974..3835b78 100644 --- a/metrics/iterops.py +++ b/netlab/metrics/iterops.py @@ -1,9 +1,4 @@ -"""Iteration-level summary metrics for tm_placement. - -Extracts iteration counts, unique pattern counts, and wall-clock timing -from tm_placement step metadata. Uses ``occurrence_count`` to recover -the true number of Monte Carlo iterations from deduplicated results. -""" +"""Read failure counts and elapsed time from placement results.""" from __future__ import annotations @@ -11,19 +6,19 @@ import pandas as pd -from metrics.common import flow_occurrence_count +from netlab.metrics.common import flow_occurrence_count + +from .common import nonnegative_number +from .validation import validate_sample_counts @dataclass class IterOpsResult: - """Iteration summary for a single seed. - - Attributes: - failures_count: Total failure iterations (sum of occurrence_count). - unique_patterns: Number of unique failure patterns after dedup. - total_iterations_count: 1 (baseline) + failures_count. - total_duration_sec: Wall-clock duration of the tm_placement step. - per_iter_duration_sec: total_duration_sec / total_iterations_count. + """Counts and timing for one seed. + + ``failures_count`` sums pattern occurrence counts; ``total_iterations_count`` + also includes one baseline. ``per_iter_duration_sec`` divides the recorded + step duration by that total, including repeated patterns. """ failures_count: int @@ -54,11 +49,7 @@ def to_jsonable(self) -> dict: def compute_iter_ops(results: dict) -> IterOpsResult: - """Extract iteration counts and timing from tm_placement metadata. - - The true failure iteration count is recovered by summing - ``occurrence_count`` across all deduplicated flow_results entries. - """ + """Sum failure occurrence counts and read the recorded placement duration.""" tm_step = results.get("steps", {}).get("tm_placement", {}) or {} meta = tm_step.get("metadata", {}) or {} data = tm_step.get("data", {}) or {} @@ -69,19 +60,16 @@ def compute_iter_ops(results: dict) -> IterOpsResult: if not isinstance(fr, list): raise ValueError("tm_placement.data.flow_results must be a list") - # Recover true iteration count from occurrence_count + validate_sample_counts(tm_step, "tm_placement") + fail_count = sum(flow_occurrence_count(it) for it in fr) unique_patterns = len(fr) total_count = 1 + fail_count # baseline + failures - # NetGraph records workflow timing in metadata.duration_sec. total_duration = float("nan") - try: - dur = meta.get("duration_sec") - if dur is not None: - total_duration = float(dur) - except Exception: - total_duration = float("nan") + dur = meta.get("duration_sec") + if dur is not None: + total_duration = nonnegative_number(dur, "duration_sec") per_iter_duration = ( float(total_duration / total_count) diff --git a/metrics/latency.py b/netlab/metrics/latency.py similarity index 83% rename from metrics/latency.py rename to netlab/metrics/latency.py index e8fc7d8..6dae70c 100644 --- a/metrics/latency.py +++ b/netlab/metrics/latency.py @@ -9,7 +9,7 @@ import pandas as pd import seaborn as sns -from .common import canonical_dc, get_tm_baseline_and_failures +from .common import get_tm_baseline_and_failures, nonnegative_number @dataclass @@ -46,18 +46,21 @@ def _baseline_cost_per_pair_tm(baseline: dict) -> Dict[Tuple[str, str], float]: """ per_pair: Dict[Tuple[str, str], float] = {} for rec in baseline.get("flows", []) or []: - s = canonical_dc(rec.get("source", "")) - d = canonical_dc(rec.get("destination", "")) + s = rec.get("source", "") + d = rec.get("destination", "") if not s or not d or s == d: continue cdist = rec.get("cost_distribution", {}) or {} if not cdist: continue - try: - min_cost = min([float(k) for k, v in cdist.items() if float(v) > 0.0]) - per_pair[(s, d)] = min_cost - except Exception: - continue + costs = [ + nonnegative_number(k, "cost") + for k, v in cdist.items() + if nonnegative_number(v, "volume") > 0 + ] + if costs: + pair = (s, d) + per_pair[pair] = min(per_pair.get(pair, float("inf")), min(costs)) return per_pair @@ -67,40 +70,39 @@ def compute_latency_stretch( baseline, fr = get_tm_baseline_and_failures(results, step_name) base_cost = _baseline_cost_per_pair_tm(baseline) - if not base_cost: - return LatencyResult(baseline={}, failures={}, derived={}) def _iter_metrics(it: dict) -> Dict[str, float]: flows = it.get("flows", []) or [] vals: list[float] = [] wts: list[float] = [] best_wts: float = 0.0 + delivered = 0.0 for rec in flows: - s = canonical_dc(rec.get("source", "")) - d = canonical_dc(rec.get("destination", "")) + s = rec.get("source", "") + d = rec.get("destination", "") if not s or not d or s == d: continue + delivered += nonnegative_number( + rec.get("placed", sum(rec.get("cost_distribution", {}).values())), + "placed", + ) denom = base_cost.get((s, d), None) if denom is None or denom <= 0: continue cdist = rec.get("cost_distribution", {}) or {} for k, v in cdist.items(): - try: - c = float(k) - vol = float(v) - except Exception: - continue + c = nonnegative_number(k, "cost") + vol = nonnegative_number(v, "volume") if vol <= 0: continue stretch = c / float(denom) vals.append(stretch) wts.append(vol) - if abs(c - float(denom)) <= max( - 1e-6, 1e-9 * max(abs(c), abs(float(denom)), 1.0) - ): + if abs(c - float(denom)) <= 1e-9 * max(abs(c), abs(float(denom))): best_wts += vol + coverage = sum(wts) / delivered if delivered > 0 else float("nan") if not vals: - return {} + return {"reference_coverage": coverage} arr = np.asarray(vals, dtype=float) w = np.asarray(wts, dtype=float) order = np.argsort(arr) @@ -133,6 +135,7 @@ def wq(p: float) -> float: else: wes = float("nan") return { + "reference_coverage": coverage, "p50": wq(0.50), "p95": wq(0.95), "p99": wq(0.99), @@ -146,21 +149,27 @@ def wq(p: float) -> float: failure_metrics: Dict[str, list[float]] = { k: [] - for k in ("p50", "p95", "p99", "SLO_1_2", "SLO_1_5", "best_path_share", "WES") + for k in ( + "p50", + "p95", + "p99", + "SLO_1_2", + "SLO_1_5", + "best_path_share", + "WES", + "reference_coverage", + ) } for it in fr: m = _iter_metrics(it) - if not m: - continue for k in failure_metrics.keys(): v = float(m.get(k, float("nan"))) - if np.isfinite(v): - failure_metrics[k].append(v) + failure_metrics[k].append(v) failures = {} for k, series in failure_metrics.items(): failures[k] = ( float(np.nanmedian(np.asarray(series, dtype=float))) - if series + if any(np.isfinite(series)) else float("nan") ) @@ -240,7 +249,9 @@ def plot_latency(lt: LatencyResult, save_to: Optional[Path] = None) -> None: ] ) tidy = data.melt(id_vars="group", var_name="tail", value_name="stretch").dropna() - plt.figure() + if tidy.empty: + return + plt.figure(figsize=(8, 5), dpi=300) sns.barplot(data=tidy, x="tail", y="stretch", hue="group") plt.axhline(1.0, linestyle="--", linewidth=0.8) plt.xlabel("Tail") @@ -249,5 +260,5 @@ def plot_latency(lt: LatencyResult, save_to: Optional[Path] = None) -> None: plt.grid(True, linestyle=":", linewidth=0.5) if save_to is not None: save_to.parent.mkdir(parents=True, exist_ok=True) - plt.savefig(save_to) + plt.savefig(save_to, dpi=300, bbox_inches="tight") plt.close() diff --git a/metrics/matrixdump.py b/netlab/metrics/matrixdump.py similarity index 71% rename from metrics/matrixdump.py rename to netlab/metrics/matrixdump.py index 9a3eb5c..9e5b85f 100644 --- a/metrics/matrixdump.py +++ b/netlab/metrics/matrixdump.py @@ -5,7 +5,12 @@ import numpy as np import pandas as pd -from .common import baseline_demand_map, canonical_dc, expand_flow_results +from .common import ( + baseline_demand_map, + expand_flow_results, + pair_totals, + require_capacity_pairs, +) Pair = Tuple[str, str] @@ -17,21 +22,13 @@ def _collect_per_iteration_matrix(results: dict, step_name: str) -> pd.DataFrame by_iter: Dict[str, Dict[str, float]] = {} for idx, it in enumerate(fr): fid = f"it{idx}" - row: Dict[str, float] = {} - for rec in it.get("flows", []) or []: - s = canonical_dc(rec.get("source", "")) - d = canonical_dc(rec.get("destination", "")) - if not s or not d or s == d: - continue - try: - val = float(rec.get("placed", 0.0)) - except Exception: - val = 0.0 - row[f"{s}→{d}"] = val + row = {f"{s}→{d}": value for (s, d), value in pair_totals(it, "placed").items()} by_iter[fid] = row if not by_iter: return pd.DataFrame() - df = pd.DataFrame.from_dict(by_iter, orient="index").fillna(0.0) + df = pd.DataFrame(list(by_iter.values()), index=list(by_iter)).fillna(0.0) + demand_pairs = {f"{s}→{d}" for s, d in baseline_demand_map(results)} + df = df.reindex(columns=sorted(demand_pairs | set(df.columns)), fill_value=0.0) df.index.name = "iteration" return df @@ -40,42 +37,39 @@ def _percentiles_per_pair(matrix: pd.DataFrame, probs: List[float]) -> pd.DataFr if matrix is None or matrix.empty: return pd.DataFrame() out = {} - # columns are pairs for col in matrix.columns: series = matrix[col].astype(float) - # stepwise lower interpolation to match BAC semantics + # Descriptive quantiles use lower ranks; BW@p uses a survival threshold. out[col] = [float(series.quantile(p, interpolation="lower")) for p in probs] df = pd.DataFrame( out, index=[f"p{int(p * 10000) / 100 if p < 1 else int(p * 100)}" for p in probs], ) - # transpose to have rows as pairs, columns as tails return df.T def compute_pair_matrices( results: dict, include_maxflow: bool ) -> Tuple[pd.DataFrame, pd.DataFrame, Optional[pd.DataFrame], Optional[pd.DataFrame]]: - """ - Returns (tm_abs, tm_norm, mf_abs, mf_norm), where each is a DataFrame with - rows as pairs "s→d" and columns as percentiles (p50,p90,p99,p999,p9999). - Normalization uses tm_placement baseline per-pair demand; values are clipped at 1.0 for interpretability. - If include_maxflow is False or data missing, mf_* will be None. + """Return placement and MaxFlow percentile tables: tm_abs, tm_norm, mf_abs, mf_norm. + + Rows are exact "source→destination" pairs. Columns are p50.0, p90.0, p99.0, p99.9, + and p99.99 using NumPy's lower quantile estimator over failures only. + Normalized values divide by baseline placement demand and are capped at 1. + The MaxFlow tables are None when disabled; enabled analysis requires matching pairs. """ probs = [0.50, 0.90, 0.99, 0.999, 0.9999] denom = baseline_demand_map(results) tm_mat = _collect_per_iteration_matrix(results, "tm_placement") tm_abs = _percentiles_per_pair(tm_mat, probs) - # normalized if not tm_mat.empty and denom: norm_vals = tm_mat.copy() for col in norm_vals.columns: - # parse pair try: s, d = col.split("→", 1) den = float(denom.get((s, d), float("nan"))) - except Exception: + except (ValueError, TypeError, KeyError, OSError): den = float("nan") if np.isfinite(den) and den > 0.0: norm_vals[col] = (norm_vals[col].astype(float) / den).clip(upper=1.0) @@ -88,6 +82,7 @@ def compute_pair_matrices( mf_abs: Optional[pd.DataFrame] = None mf_norm: Optional[pd.DataFrame] = None if include_maxflow: + require_capacity_pairs(results) mf_mat = _collect_per_iteration_matrix(results, "node_to_node_capacity_matrix") mf_abs = _percentiles_per_pair(mf_mat, probs) if not mf_mat.empty and denom: @@ -96,7 +91,7 @@ def compute_pair_matrices( try: s, d = col.split("→", 1) den = float(denom.get((s, d), float("nan"))) - except Exception: + except (ValueError, TypeError, KeyError, OSError): den = float("nan") if np.isfinite(den) and den > 0.0: n2[col] = (n2[col].astype(float) / den).clip(upper=1.0) diff --git a/metrics/msd.py b/netlab/metrics/msd.py similarity index 67% rename from metrics/msd.py rename to netlab/metrics/msd.py index 404fc7d..3be1766 100644 --- a/metrics/msd.py +++ b/netlab/metrics/msd.py @@ -4,6 +4,8 @@ import numpy as np +from .common import nonnegative_number + @dataclass class AlphaResult: @@ -24,8 +26,14 @@ def to_jsonable(self) -> dict: def compute_alpha_star(results: dict) -> AlphaResult: try: msd = results["steps"]["msd_baseline"]["data"] - alpha = float(msd["alpha_star"]) - base_total = sum(float(demand["volume"]) for demand in msd["base_demands"]) + alpha = nonnegative_number(msd["alpha_star"], "alpha_star") + demands = msd["base_demands"] + if not isinstance(demands, list) or not demands: + raise ValueError("base_demands must be a nonempty list") + base_total = nonnegative_number( + sum(nonnegative_number(demand["volume"], "volume") for demand in demands), + "base_total_demand", + ) except (KeyError, TypeError, ValueError) as exc: raise ValueError( "msd_baseline.data requires alpha_star and base_demands[].volume" diff --git a/netlab/metrics/paired.py b/netlab/metrics/paired.py new file mode 100644 index 0000000..3564449 --- /dev/null +++ b/netlab/metrics/paired.py @@ -0,0 +1,84 @@ +"""Paired Student t inference and Holm correction shared by all reports.""" + +from __future__ import annotations + +import math +from typing import Hashable, TypeVar + +import numpy as np +import pandas as pd +from scipy import stats + +K = TypeVar("K", bound=Hashable) + + +def paired_t(a: np.ndarray, b: np.ndarray, alpha: float = 0.05) -> dict: + """Two-sided paired test and CI; only finite paired observations participate.""" + if a.shape != b.shape or a.ndim != 1: + raise ValueError("paired_t requires one-dimensional arrays with the same shape") + if not 0 < alpha < 1: + raise ValueError("alpha must be between zero and one") + finite = np.isfinite(a) & np.isfinite(b) + with np.errstate(over="ignore"): + differences = a[finite].astype(float) - b[finite].astype(float) + if not np.isfinite(differences).all(): + raise ValueError("Paired differences overflow float64") + n = len(differences) + scale = float(np.max(np.abs(differences))) if n else 0.0 + scaled = differences / scale if scale else differences + mean_scaled = float(scaled.mean()) if n else float("nan") + mean = mean_scaled * scale if scale else mean_scaled + result = dict( + n=n, + mean_diff=mean, + t_stat=float("nan"), + p=float("nan"), + ci_low=float("nan"), + ci_high=float("nan"), + deterministic=False, + ) + if n < 3: + return result + if np.all(differences == differences[0]): + result.update( + t_stat=math.copysign(float("inf"), mean) if mean != 0.0 else 0.0, + p=0.0 if mean != 0.0 else 1.0, + ci_low=mean, + ci_high=mean, + deterministic=True, + ) + else: + se_scaled = float(scaled.std(ddof=1)) / math.sqrt(n) + t = mean_scaled / se_scaled + margin_scaled = float(stats.t.ppf(1 - alpha / 2, df=n - 1)) * se_scaled + result.update( + t_stat=t, + p=float(2 * stats.t.sf(abs(t), df=n - 1)), + ci_low=(mean_scaled - margin_scaled) * scale, + ci_high=(mean_scaled + margin_scaled) * scale, + ) + return result + + +def holm_adjust(p_values: list[tuple[K, float]]) -> dict[K, float]: + """Correct the finite tests in a family; unavailable tests remain NaN.""" + if len({key for key, _ in p_values}) != len(p_values): + raise ValueError("Holm test identifiers must be unique") + if any(not math.isnan(p) and not 0 <= p <= 1 for _, p in p_values): + raise ValueError("p-values must be between zero and one, or NaN") + valid = sorted( + ((key, p) for key, p in p_values if math.isfinite(p)), key=lambda x: x[1] + ) + result = dict.fromkeys((key for key, _ in p_values), float("nan")) + previous = 0.0 + for index, (key, p) in enumerate(valid): + if not 0 <= p <= 1: + raise ValueError("p-values must be between zero and one") + previous = max(previous, min(1.0, (len(valid) - index) * p)) + result[key] = previous + return result + + +def holm_series(series: pd.Series) -> pd.Series: + adjusted = holm_adjust([(key, float(value)) for key, value in series.items()]) + return pd.Series(adjusted).reindex(series.index) diff --git a/metrics/plot_bac_delta_vs_baseline.py b/netlab/metrics/plot_bac_delta_vs_baseline.py similarity index 70% rename from metrics/plot_bac_delta_vs_baseline.py rename to netlab/metrics/plot_bac_delta_vs_baseline.py index 6ed9565..803dc62 100644 --- a/metrics/plot_bac_delta_vs_baseline.py +++ b/netlab/metrics/plot_bac_delta_vs_baseline.py @@ -13,6 +13,9 @@ import matplotlib.pyplot as plt import numpy as np +from .distributions import availability_curve, curve_on_grid +from .seed_data import select_baseline + LegendLocation = Literal[ "best", "upper right", @@ -37,11 +40,7 @@ def _list_scenario_dirs(analysis_root: Path) -> list[Path]: def _pooled_availability_curve(scen_dir: Path) -> Tuple[np.ndarray, np.ndarray]: - """Return pooled availability curve for a scenario. - - Returns: - (xs_pct, availability) where xs_pct is sorted in [0, 100]. - """ + """Return sorted bandwidth thresholds (% of baseline) and pooled availability.""" pooled: list[float] = [] for seed_dir in sorted(scen_dir.glob("seed*")): bac_path = seed_dir / "bac.json" @@ -49,70 +48,51 @@ def _pooled_availability_curve(scen_dir: Path) -> Tuple[np.ndarray, np.ndarray]: continue try: data = json.loads(bac_path.read_text(encoding="utf-8")) - except Exception: + except (ValueError, TypeError, KeyError, OSError): continue try: offered = float(data.get("offered", float("nan"))) series = [float(x) for x in (data.get("series", []) or [])] - except Exception: + except (ValueError, TypeError, KeyError, OSError): continue if not series or not np.isfinite(offered) or offered <= 0.0: continue - norm = np.minimum(np.asarray(series, dtype=float) / offered, 1.0) * 100.0 + norm = (np.asarray(series, dtype=float) / offered) * 100.0 pooled.extend([float(v) for v in norm if np.isfinite(v)]) if not pooled: return np.array([], dtype=float), np.array([], dtype=float) - xs = np.sort(np.asarray(pooled, dtype=float)) - cdf = np.arange(1, xs.size + 1, dtype=float) / float(xs.size) - availability = 1.0 - cdf - return xs, availability + return availability_curve(np.asarray(pooled, dtype=float)) def plot_bac_delta_vs_baseline( analysis_root: Path, *, - baseline: Optional[str] = "baseline_SingleRouter", + baseline: Optional[str] = None, only: Optional[Iterable[str]] = None, grid_min: float = 80.0, grid_max: float = 100.0, legend_loc: LegendLocation = "upper left", save_to: Optional[Path] = None, ) -> Optional[Path]: - """Plot BAC Δ-availability vs baseline over [grid_min, grid_max]. - - Args: - analysis_root: Root with per-scenario metrics (e.g., scenarios_metrics). - baseline: Scenario name to use as baseline; if None or missing, the - first scenario in alphabetical order is used. - only: Optional list of scenario names to include (besides baseline). - grid_min: Lower bound on delivered percent (x-axis), inclusive. - grid_max: Upper bound on delivered percent (x-axis), inclusive. - legend_loc: Matplotlib legend loc string (e.g., "upper left"). - save_to: Path to save the figure; defaults to analysis_root/BAC_delta_vs_baseline.png. - - Returns: - The path to the saved figure, or None if no data. + """Save availability differences over the inclusive bandwidth-percentage range. + + ``only`` selects scenarios to compare with the chosen baseline. ``save_to`` + defaults to analysis_root/BAC_delta_vs_baseline.png. Return None without data. """ analysis_root = analysis_root.resolve() scen_dirs = _list_scenario_dirs(analysis_root) + if not scen_dirs: + return None + base_name = select_baseline([p.name for p in scen_dirs], baseline) if only: only_set = set(only) - scen_dirs = [p for p in scen_dirs if p.name in only_set] + scen_dirs = [p for p in scen_dirs if p.name in only_set or p.name == base_name] if not scen_dirs: return None - # Determine baseline directory - base_dir: Optional[Path] = None - if baseline: - for p in scen_dirs: - if p.name == baseline: - base_dir = p - break - if base_dir is None: - base_dir = scen_dirs[0] - # Non-baseline scenarios + base_dir = analysis_root / base_name comp_dirs = [p for p in scen_dirs if p != base_dir] if not comp_dirs: return None @@ -121,25 +101,27 @@ def plot_bac_delta_vs_baseline( if base_x.size == 0: return None - grid = np.linspace( - float(grid_min), float(grid_max), 1 + int(4 * (grid_max - grid_min)) - ) - base_on_grid = np.interp( - grid, - base_x, - base_a, - left=(base_a[0] if base_a.size else 0.0), - right=(base_a[-1] if base_a.size else 0.0), + curves = {sd.name: _pooled_availability_curve(sd) for sd in comp_dirs} + if grid_min >= grid_max: + raise ValueError("grid_min must be below grid_max") + observations = np.concatenate([base_x, *(curve[0] for curve in curves.values())]) + grid = np.unique( + np.r_[ + grid_min, + observations[(observations >= grid_min) & (observations <= grid_max)], + grid_max, + ] ) + base_on_grid = curve_on_grid(base_x, base_a, grid) fig, ax = plt.subplots(figsize=(7.5, 4.5)) for sd in comp_dirs: - sx, sa = _pooled_availability_curve(sd) + sx, sa = curves[sd.name] if sx.size == 0: continue - s_on_grid = np.interp(grid, sx, sa, left=sa[0], right=sa[-1]) + s_on_grid = curve_on_grid(sx, sa, grid) delta = s_on_grid - base_on_grid - ax.plot(grid, delta, label=sd.name) + ax.step(grid, delta, where="pre", label=sd.name) ax.axhline(0.0, color="black", linewidth=0.8) for v in (80.0, 90.0, 95.0): diff --git a/metrics/plot_cross_seed_bac.py b/netlab/metrics/plot_cross_seed_bac.py similarity index 66% rename from metrics/plot_cross_seed_bac.py rename to netlab/metrics/plot_cross_seed_bac.py index 50e65b1..966e1c1 100644 --- a/metrics/plot_cross_seed_bac.py +++ b/netlab/metrics/plot_cross_seed_bac.py @@ -1,6 +1,6 @@ """Plot pooled bandwidth availability across seeds. -Samples are normalized by baseline delivery and capped at 100%. Pooling gives +Samples are normalized by baseline delivery without clipping. Pooling gives each sample equal weight, so seeds with more iterations contribute more weight. With at least three seeds, the plot includes an IQR band of per-seed curves. """ @@ -16,51 +16,24 @@ import numpy as np import seaborn as sns -plt.rcParams["figure.dpi"] = 300 -plt.rcParams["savefig.dpi"] = 300 -plt.rcParams["figure.figsize"] = (8.0, 5.0) -plt.rcParams["savefig.bbox"] = "tight" -plt.rcParams["axes.titlesize"] = 13 -plt.rcParams["axes.labelsize"] = 11 -plt.rcParams["legend.fontsize"] = 10 -plt.rcParams["xtick.labelsize"] = 9 -plt.rcParams["ytick.labelsize"] = 9 - - -def _availability_curve_from_samples( - samples: np.ndarray, -) -> Tuple[np.ndarray, np.ndarray]: - xs = np.asarray(samples, dtype=float) - xs = xs[np.isfinite(xs)] - if xs.size == 0: - return np.array([], dtype=float), np.array([], dtype=float) - xs_sorted = np.sort(xs) - cdf = np.arange(1, xs_sorted.size + 1, dtype=float) / float(xs_sorted.size) - availability = 1.0 - cdf - return xs_sorted, availability +from .distributions import availability_curve, curve_on_grid def _seed_availability_on_grid(samples: np.ndarray, grid_pct: np.ndarray) -> np.ndarray: - """Compute seed availability on a fixed x-grid (percent).""" - xs, a = _availability_curve_from_samples(samples) - if xs.size == 0: - return np.full_like(grid_pct, fill_value=np.nan, dtype=float) - # xs already in percent; step-post interpolation - # For each grid x, availability is a(x) at the largest xs <= x - return np.interp(grid_pct, xs, a, left=a[0], right=a[-1]) + return curve_on_grid(*availability_curve(samples), grid_pct) def _load_seed_bac(seed_dir: Path) -> Tuple[np.ndarray, float]: """Return (normalized_samples_pct, offered) for a single seed. - Normalized samples are min(delivered/offered, 1.0) * 100. + Normalized samples are delivered/offered * 100. """ p = seed_dir / "bac.json" if not p.exists(): return np.array([], dtype=float), float("nan") try: data = json.loads(p.read_text(encoding="utf-8")) - except Exception: + except (ValueError, TypeError, KeyError, OSError): return np.array([], dtype=float), float("nan") offered = float(data.get("offered", float("nan"))) series = data.get("series", []) or [] @@ -69,12 +42,12 @@ def _load_seed_bac(seed_dir: Path) -> Tuple[np.ndarray, float]: try: vv = float(v) vals.append(vv) - except Exception: + except (ValueError, TypeError, KeyError, OSError): continue arr = np.asarray(vals, dtype=float) if not (math.isfinite(offered) and offered > 0.0) or arr.size == 0: return np.array([], dtype=float), float("nan") - norm = np.minimum(arr / offered, 1.0) * 100.0 + norm = (arr / offered) * 100.0 return norm, offered @@ -95,31 +68,36 @@ def plot_cross_seed_bac( if not scen_dirs: return None - sns.set_theme(style="whitegrid") fig, ax = plt.subplots() palette = sns.color_palette("tab10", n_colors=len(scen_dirs)) + max_pct = 100.0 + plotted = False for i, sd in enumerate(scen_dirs): - # Gather seeds seed_dirs = sorted([p for p in sd.glob("seed*") if p.is_dir()]) pooled: List[float] = [] - seed_curves: List[np.ndarray] = [] - grid = np.linspace(0.0, 100.0, 401) + seed_samples: List[np.ndarray] = [] for sdir in seed_dirs: samples_pct, _off = _load_seed_bac(sdir) if samples_pct.size == 0: continue pooled.extend(samples_pct.tolist()) - seed_curves.append(_seed_availability_on_grid(samples_pct, grid)) + seed_samples.append(samples_pct) if not pooled: continue + max_pct = max(max_pct, max(pooled)) + plotted = True color = palette[i % len(palette)] pooled_arr = np.asarray(pooled, dtype=float) - x_sorted, a_sorted = _availability_curve_from_samples(pooled_arr) - # Plot pooled curve + grid = np.unique(np.r_[0.0, pooled_arr, max(100.0, max(pooled))]) + seed_curves = [ + _seed_availability_on_grid(samples, grid) for samples in seed_samples + ] + x_sorted = grid + a_sorted = curve_on_grid(*availability_curve(pooled_arr), grid) ax.step( - x_sorted, a_sorted, where="post", label=sd.name, color=color, linewidth=2.0 + x_sorted, a_sorted, where="pre", label=sd.name, color=color, linewidth=2.0 ) # IQR band across seeds on the common grid @@ -127,14 +105,18 @@ def plot_cross_seed_bac( mat = np.vstack(seed_curves) q25 = np.nanpercentile(mat, 25, axis=0) q75 = np.nanpercentile(mat, 75, axis=0) - ax.fill_between(grid, q25, q75, color=color, alpha=0.12, linewidth=0) - # Overlay per-seed curves lightly to show distribution + ax.fill_between( + grid, q25, q75, step="pre", color=color, alpha=0.12, linewidth=0 + ) for sc in seed_curves: - ax.step(grid, sc, where="post", color=color, alpha=0.12, linewidth=0.6) + ax.step(grid, sc, where="pre", color=color, alpha=0.12, linewidth=0.6) + if not plotted: + plt.close(fig) + return None ax.set_xlabel("Delivered bandwidth (% of offered)") ax.set_ylabel("Availability (≥ x)") - ax.set_xlim(0.0, 100.0) + ax.set_xlim(0.0, max_pct) ax.set_ylim(0.0, 1.0) ax.legend(title="Scenario", loc="lower right", frameon=True) ax.set_title("Cross-seed Bandwidth–Availability Curves") diff --git a/metrics/plot_cross_seed_iterops.py b/netlab/metrics/plot_cross_seed_iterops.py similarity index 92% rename from metrics/plot_cross_seed_iterops.py rename to netlab/metrics/plot_cross_seed_iterops.py index 6bbcbba..ded3e88 100644 --- a/metrics/plot_cross_seed_iterops.py +++ b/netlab/metrics/plot_cross_seed_iterops.py @@ -14,16 +14,6 @@ import pandas as pd import seaborn as sns -plt.rcParams["figure.dpi"] = 300 -plt.rcParams["savefig.dpi"] = 300 -plt.rcParams["savefig.bbox"] = "tight" -plt.rcParams["axes.titlesize"] = 13 -plt.rcParams["axes.labelsize"] = 11 -plt.rcParams["legend.fontsize"] = 10 -plt.rcParams["xtick.labelsize"] = 9 -plt.rcParams["ytick.labelsize"] = 9 - - _METRICS = { "iters_fail": "Failure iterations", "unique_patterns": "Unique patterns", @@ -58,7 +48,6 @@ def plot_cross_seed_iterops( if data.empty: return None - sns.set_theme(style="whitegrid") fig, axes = plt.subplots(1, len(_METRICS), figsize=(14.0, 4.5)) for ax, (column, label) in zip(axes, _METRICS.items(), strict=True): samples = data.loc[np.isfinite(data[column]), ["scenario", column]] diff --git a/metrics/plot_cross_seed_latency.py b/netlab/metrics/plot_cross_seed_latency.py similarity index 69% rename from metrics/plot_cross_seed_latency.py rename to netlab/metrics/plot_cross_seed_latency.py index 24874e1..6c93126 100644 --- a/metrics/plot_cross_seed_latency.py +++ b/netlab/metrics/plot_cross_seed_latency.py @@ -9,32 +9,13 @@ import json import math from pathlib import Path -from typing import Iterable, List, Optional, Tuple +from typing import Iterable, List, Optional import matplotlib.pyplot as plt import numpy as np import seaborn as sns -plt.rcParams["figure.dpi"] = 300 -plt.rcParams["savefig.dpi"] = 300 -plt.rcParams["figure.figsize"] = (8.0, 5.0) -plt.rcParams["savefig.bbox"] = "tight" -plt.rcParams["axes.titlesize"] = 13 -plt.rcParams["axes.labelsize"] = 11 -plt.rcParams["legend.fontsize"] = 10 -plt.rcParams["xtick.labelsize"] = 9 -plt.rcParams["ytick.labelsize"] = 9 - - -def _availability_curve(samples: np.ndarray) -> Tuple[np.ndarray, np.ndarray]: - xs = np.asarray(samples, dtype=float) - xs = xs[np.isfinite(xs)] - if xs.size == 0: - return np.array([], dtype=float), np.array([], dtype=float) - xs_sorted = np.sort(xs) - cdf = np.arange(1, xs_sorted.size + 1, dtype=float) / float(xs_sorted.size) - avail = 1.0 - cdf - return xs_sorted, avail +from .distributions import availability_curve, curve_on_grid def _load_seed_latency(seed_dir: Path, metric: str) -> np.ndarray: @@ -43,7 +24,7 @@ def _load_seed_latency(seed_dir: Path, metric: str) -> np.ndarray: return np.array([], dtype=float) try: data = json.loads(p.read_text(encoding="utf-8")) - except Exception: + except (ValueError, TypeError, KeyError, OSError): return np.array([], dtype=float) per_it = (data.get("per_iteration") or {}).get(metric) if not isinstance(per_it, list): @@ -54,7 +35,7 @@ def _load_seed_latency(seed_dir: Path, metric: str) -> np.ndarray: vv = float(v) if math.isfinite(vv): vals.append(vv) - except Exception: + except (ValueError, TypeError, KeyError, OSError): continue return np.asarray(vals, dtype=float) @@ -76,42 +57,51 @@ def plot_cross_seed_latency( scen_dirs = [p for p in scen_dirs if p.name in only_set] if not scen_dirs: return None - sns.set_theme(style="whitegrid") fig, ax = plt.subplots() palette = sns.color_palette("tab10", n_colors=len(scen_dirs)) + plotted = False for i, sd in enumerate(scen_dirs): seed_dirs = sorted([p for p in sd.glob("seed*") if p.is_dir()]) pooled: List[float] = [] - grid = np.linspace(1.0, 5.0, 401) # typical latency stretch range - seed_curves: List[np.ndarray] = [] + seed_samples: List[np.ndarray] = [] for sdir in seed_dirs: arr = _load_seed_latency(sdir, metric) if arr.size == 0: continue pooled.extend(arr.tolist()) - xs, a = _availability_curve(arr) - # interpolate availability on common grid - agrid = np.interp(grid, xs, a, left=a[0], right=a[-1]) - seed_curves.append(agrid) + seed_samples.append(arr) if not pooled: continue + plotted = True color = palette[i % len(palette)] - x_sorted, a_sorted = _availability_curve(np.asarray(pooled, dtype=float)) + grid = np.unique(np.r_[0.0, pooled, max(5.0, max(pooled))]) + seed_curves = [ + curve_on_grid(*availability_curve(samples), grid) + for samples in seed_samples + ] + x_sorted = grid + a_sorted = curve_on_grid( + *availability_curve(np.asarray(pooled, dtype=float)), grid + ) ax.step( - x_sorted, a_sorted, where="post", label=sd.name, color=color, linewidth=2.0 + x_sorted, a_sorted, where="pre", label=sd.name, color=color, linewidth=2.0 ) if len(seed_curves) >= 3: mat = np.vstack(seed_curves) q25 = np.nanpercentile(mat, 25, axis=0) q75 = np.nanpercentile(mat, 75, axis=0) - ax.fill_between(grid, q25, q75, color=color, alpha=0.12, linewidth=0) - # Overlay per-seed curves lightly to show distribution + ax.fill_between( + grid, q25, q75, step="pre", color=color, alpha=0.12, linewidth=0 + ) for sc in seed_curves: - ax.step(grid, sc, where="post", color=color, alpha=0.12, linewidth=0.6) + ax.step(grid, sc, where="pre", color=color, alpha=0.12, linewidth=0.6) + if not plotted: + plt.close(fig) + return None ax.set_xlabel("Latency stretch (× baseline)") - ax.set_ylabel("Exceedance probability (stretch > x)") + ax.set_ylabel("Exceedance probability (stretch ≥ x)") ax.set_ylim(0.0, 1.0) ax.legend(title="Scenario", loc="lower right", frameon=True) ax.set_title(f"Cross-seed latency exceedance (metric={metric})") diff --git a/metrics/plot_significance_heatmap.py b/netlab/metrics/plot_significance_heatmap.py similarity index 79% rename from metrics/plot_significance_heatmap.py rename to netlab/metrics/plot_significance_heatmap.py index b0095b0..7cc3c0c 100644 --- a/metrics/plot_significance_heatmap.py +++ b/netlab/metrics/plot_significance_heatmap.py @@ -12,13 +12,10 @@ def plot_significance_heatmap( analysis_root: Path, save_to: Optional[Path] = None ) -> Optional[Path]: - """Plot heatmap of normalized effect sizes with significance highlighting. + """Plot effects from normalized_insights.csv and mark adjusted p-values < 0.05. - Expects normalized insights at analysis_root/normalized_insights.csv with columns: - scenario, __mean, __n, __p for multiple metrics. - - Effect size is mean-1.0 for ratio metrics (suffix _r__mean) and mean-0.0 for delta metrics (suffix _d__mean). - Cells are marked where p < 0.05, using __p_adj when present, otherwise __p. + Read ``__mean`` and ``__p_adj`` columns. Subtract 1 from + ratio means (``_r``); delta means (``_d``) already have a zero reference. """ csv = analysis_root / "normalized_insights.csv" if not csv.exists(): @@ -27,7 +24,6 @@ def plot_significance_heatmap( if df.empty: return None - # Identify metric bases by scanning __mean columns metrics = [] for c in df.columns: if c.endswith("__mean"): @@ -36,12 +32,11 @@ def plot_significance_heatmap( if not metrics: return None - # Build effect size matrix and p-value matrix eff = pd.DataFrame(index=df.index, columns=metrics, dtype=float) pvals = pd.DataFrame(index=df.index, columns=metrics, dtype=float) for m in metrics: m_mean = f"{m}__mean" - m_p = f"{m}__p_adj" if f"{m}__p_adj" in df.columns else f"{m}__p" + m_p = f"{m}__p_adj" if m_mean not in df.columns: continue vals = pd.to_numeric(df[m_mean], errors="coerce") @@ -52,7 +47,6 @@ def plot_significance_heatmap( if m_p in df.columns: pvals[m] = pd.to_numeric(df[m_p], errors="coerce") - # Order metrics for display: ratios first, then deltas metrics_sorted = sorted(metrics, key=lambda x: (0 if x.endswith("_r") else 1, x)) eff = eff[metrics_sorted] pvals = pvals[metrics_sorted] @@ -60,8 +54,6 @@ def plot_significance_heatmap( eff_t = eff.T pvals_t = pvals.T - # Heatmap with diverging palette centered at 0 - sns.set_theme(style="whitegrid") fig, ax = plt.subplots( figsize=(max(8.0, 1.0 + 0.55 * eff_t.shape[1]), 1.0 + 0.45 * eff_t.shape[0]) ) @@ -82,9 +74,8 @@ def plot_significance_heatmap( ) ax.set_xlabel("scenario") ax.set_ylabel("metric (normalized)") - ax.set_title("Baseline-normalized effects with significance (p < 0.05)") + ax.set_title("Baseline-normalized effects with significance (Holm p < 0.05)") - # Overlay significance markers for i, m in enumerate(eff_t.index): for j, scen in enumerate(eff_t.columns): p = ( @@ -92,7 +83,6 @@ def plot_significance_heatmap( if (m in pvals_t.index and scen in pvals_t.columns) else np.nan ) - # Ensure p is numeric before comparison p_val = float(p) if isinstance(p, (int, float, np.number)) else np.nan if np.isfinite(p_val) and p_val < 0.05: ax.plot(j + 0.5, i + 0.5, marker="o", markersize=4, color="black") diff --git a/netlab/metrics/reporting.py b/netlab/metrics/reporting.py new file mode 100644 index 0000000..a45896e --- /dev/null +++ b/netlab/metrics/reporting.py @@ -0,0 +1,347 @@ +#!/usr/bin/env python3 +"""Print summary tables and render figures from saved metric files.""" + +from __future__ import annotations + +from pathlib import Path + +import matplotlib.pyplot as plt + +import netlab.metrics.summary as summary_mod + + +def _safe_float(x: object) -> float: + try: + return float(x) # type: ignore[arg-type] + except (ValueError, TypeError, KeyError, OSError): + return float("nan") + + +def print_summary_from_csv( + root: Path, plots: bool = False, quiet: bool = False +) -> None: + out_root = root.parent / f"{root.name}_metrics" + project_csv = out_root / "project.csv" + norm_csv = out_root / "project_baseline_normalized.csv" + if not project_csv.exists(): + raise FileNotFoundError( + f"Missing {project_csv}; run 'netlab metrics {root}' first" + ) + import pandas as _pd + + if not quiet: + df_proj = _pd.read_csv(project_csv).set_index("scenario") + summary_mod.print_pretty_table(df_proj, title="Consolidated project metrics") + print("\n\n") + if norm_csv.exists(): + df_norm = _pd.read_csv(norm_csv).set_index("scenario") + summary_mod.print_pretty_table( + df_norm, title="Baseline-normalized metrics (scenario / baseline)" + ) + print("\n\n") + summary_mod._print_normalized_insights(out_root) + else: + raise FileNotFoundError(f"Missing normalized table: {norm_csv}") + + if plots: + from netlab.metrics.plot_bac_delta_vs_baseline import ( + plot_bac_delta_vs_baseline as _plot_bac_delta_vs_baseline, + ) + from netlab.metrics.plot_cross_seed_bac import ( + plot_cross_seed_bac as _plot_cross_seed_bac, + ) + from netlab.metrics.plot_cross_seed_iterops import ( + plot_cross_seed_iterops as _plot_cross_seed_iterops, + ) + from netlab.metrics.plot_cross_seed_latency import ( + plot_cross_seed_latency as _plot_cross_seed_latency, + ) + from netlab.metrics.plot_significance_heatmap import ( + plot_significance_heatmap as _plot_significance_heatmap, + ) + + fig_dir = out_root + fig_dir.mkdir(parents=True, exist_ok=True) + + out_bac_png = fig_dir / "BAC.png" + bac_path = _plot_cross_seed_bac(out_root, save_to=out_bac_png) + if bac_path is None: + print("(normalized BAC unavailable)") + else: + print(f"Saved BAC summary figure: {bac_path}") + + out_lat_png = fig_dir / "Latency_p99.png" + lat_path = _plot_cross_seed_latency(out_root, metric="p99", save_to=out_lat_png) + if lat_path is None: + print("(latency unavailable)") + else: + print(f"Saved latency summary figure: {lat_path}") + + out_iterops_png = fig_dir / "IterationOps.png" + iterops_path = _plot_cross_seed_iterops(out_root, save_to=out_iterops_png) + if iterops_path is None: + raise ValueError("No iterops data found to plot") + print(f"Saved iteration-ops figure: {iterops_path}") + + out_delta_png = fig_dir / "BAC_delta_vs_baseline.png" + delta_path = _plot_bac_delta_vs_baseline( + out_root, + grid_min=80.0, + grid_max=100.0, + legend_loc="upper left", + save_to=out_delta_png, + ) + if delta_path is not None: + print(f"Saved BAC Δ-availability figure: {delta_path}") + + out_heatmap_png = fig_dir / "effects_heatmap.png" + heatmap_path = _plot_significance_heatmap(out_root, save_to=out_heatmap_png) + if heatmap_path is None: + print("(no insights to plot for significance heatmap)") + else: + print(f"Saved effects heatmap: {heatmap_path}") + + import pandas as _pd + + df_proj = _pd.read_csv(project_csv).set_index("scenario") + + def _plot_dist_abs(column: str, title: str, ylabel: str, fname: str) -> None: + if df_proj.empty or column not in df_proj.columns: + return + import seaborn as sns + + per_seed_csv = out_root / "project_per_seed_abs.csv" + if not per_seed_csv.exists(): + return + df_ps = _pd.read_csv(per_seed_csv) + if column not in df_proj.columns: + return + plt.figure(figsize=(8.5, 5.2)) + data = ( + df_proj[[column]] + .copy() + .reset_index() + .rename(columns={"index": "scenario"}) + ) + data = data.sort_values(by=column, ascending=False) + order = data["scenario"].tolist() + col_map = { + "bac_auc": "auc_norm", + "bw_p99": "bw_p99_pct", + "lat_fail_p99": "lat_fail_p99", + "USD_per_Gbit_offered": "USD_per_Gbit_offered", + "USD_per_Gbit_p999": "USD_per_Gbit_p999", + "Watt_per_Gbit_offered": "Watt_per_Gbit_offered", + "Watt_per_Gbit_p999": "Watt_per_Gbit_p999", + "capex_total": "capex_total", + "node_count": "node_count", + "link_count": "link_count", + } + ps_col = col_map.get(column, column) + if ps_col in df_ps.columns: + sns.stripplot( + data=df_ps, + x="scenario", + y=ps_col, + order=order, + jitter=0.25, + alpha=0.35, + color="gray", + ) + sns.pointplot( + data=data, + x="scenario", + y=column, + order=order, + linestyle="none", + color="C0", + errorbar=None, + ) + plt.title(title) + plt.ylabel(ylabel) + plt.xlabel("scenario") + plt.grid(True, linestyle=":", linewidth=0.5, axis="y") + plt.xticks(rotation=20, ha="right") + outp = fig_dir / fname + plt.tight_layout() + plt.savefig(outp) + plt.close() + print(f"Saved project metric figure: {outp}") + + def _plot_dist_norm(column: str, title: str, ylabel: str, fname: str) -> None: + base_df_local = ( + _pd.read_csv(norm_csv).set_index("scenario") + if norm_csv.exists() + else None + ) + if ( + base_df_local is None + or base_df_local.empty + or column not in base_df_local.columns + ): + return + import seaborn as sns + + per_seed_norm_csv = out_root / "project_baseline_normalized_per_seed.csv" + if not per_seed_norm_csv.exists(): + return + df_psn = _pd.read_csv(per_seed_norm_csv) + plt.figure(figsize=(8.5, 5.2)) + data = ( + base_df_local[[column]] + .copy() + .reset_index() + .rename(columns={"index": "scenario"}) + ) + data = data.sort_values(by=column, ascending=False) + order = data["scenario"].tolist() + if column in df_psn.columns: + sns.stripplot( + data=df_psn, + x="scenario", + y=column, + order=order, + jitter=0.25, + alpha=0.35, + color="gray", + ) + sns.pointplot( + data=data, + x="scenario", + y=column, + order=order, + linestyle="none", + color="C0", + errorbar=None, + ) + ref = ( + 1.0 + if column.endswith("_r") + or column + in ( + "node_count_r", + "link_count_r", + ) + else 0.0 + ) + plt.axhline(ref, color="black", linestyle="--", linewidth=0.8, alpha=0.6) + plt.title(title) + plt.ylabel(ylabel) + plt.xlabel("scenario") + plt.grid(True, linestyle=":", linewidth=0.5, axis="y") + plt.xticks(rotation=20, ha="right") + outp = fig_dir / fname + plt.tight_layout() + plt.savefig(outp) + plt.close() + print(f"Saved project metric figure: {outp}") + + _plot_dist_abs("node_count", "Node count", "nodes", "abs_nodes.png") + _plot_dist_abs("link_count", "Link count", "links", "abs_links.png") + _plot_dist_abs( + "bac_auc", + title="BAC AUC (median across seeds)", + ylabel="AUC (0..1)", + fname="abs_AUC.png", + ) + _plot_dist_abs( + "bw_p90", + title="Bandwidth at 90% (ratio to offered)", + ylabel="ratio", + fname="abs_BW_p90.png", + ) + _plot_dist_abs( + "bw_p95", + title="Bandwidth at 95% (ratio to offered)", + ylabel="ratio", + fname="abs_BW_p95.png", + ) + _plot_dist_abs( + "bw_p99", + title="Bandwidth at 99% (ratio to offered)", + ylabel="ratio", + fname="abs_BW_p99.png", + ) + _plot_dist_abs( + "USD_per_Gbit_offered", + title="Cost per Gbps (offered)", + ylabel="USD/Gbps", + fname="abs_USD_per_Gbit_offered.png", + ) + _plot_dist_abs( + "USD_per_Gbit_p999", + title="Cost per Gbps at p99.9", + ylabel="USD/Gbps", + fname="abs_USD_per_Gbit_p999.png", + ) + _plot_dist_abs( + "Watt_per_Gbit_offered", + title="Power per Gbps (offered)", + ylabel="W/Gbps", + fname="abs_Watt_per_Gbit_offered.png", + ) + _plot_dist_abs( + "Watt_per_Gbit_p999", + title="Power per Gbps at p99.9", + ylabel="W/Gbps", + fname="abs_Watt_per_Gbit_p999.png", + ) + _plot_dist_abs( + "lat_fail_p99", + title="Latency p99 under failures (median across seeds)", + ylabel="stretch (×)", + fname="abs_Latency_fail_p99.png", + ) + _plot_dist_abs( + "capex_total", + title="Total CapEx", + ylabel="USD", + fname="abs_CapEx.png", + ) + + _plot_dist_norm( + "node_count_r", + "Nodes (relative to baseline)", + "ratio", + "norm_nodes.png", + ) + _plot_dist_norm( + "link_count_r", + "Links (relative to baseline)", + "ratio", + "norm_links.png", + ) + _plot_dist_norm("auc_norm_r", "BAC AUC (relative)", "ratio", "norm_AUC.png") + _plot_dist_norm("bw_p90_pct_r", "BW@90% (relative)", "ratio", "norm_BW_p90.png") + _plot_dist_norm("bw_p95_pct_r", "BW@95% (relative)", "ratio", "norm_BW_p95.png") + _plot_dist_norm("bw_p99_pct_r", "BW@99% (relative)", "ratio", "norm_BW_p99.png") + _plot_dist_norm( + "USD_per_Gbit_offered_r", + "Cost per Gbps (offered, relative)", + "ratio", + "norm_USD_per_Gbit_offered.png", + ) + _plot_dist_norm( + "USD_per_Gbit_p999_r", + "Cost per Gbps p99.9 (relative)", + "ratio", + "norm_USD_per_Gbit_p999.png", + ) + _plot_dist_norm( + "Watt_per_Gbit_offered_r", + "Power per Gbps (offered, relative)", + "ratio", + "norm_Watt_per_Gbit_offered.png", + ) + _plot_dist_norm( + "Watt_per_Gbit_p999_r", + "Power per Gbps p99.9 (relative)", + "ratio", + "norm_Watt_per_Gbit_p999.png", + ) + _plot_dist_norm( + "lat_fail_p99_r", + "Latency p99 under failures (relative)", + "ratio", + "norm_Latency_fail_p99.png", + ) diff --git a/netlab/metrics/seed_data.py b/netlab/metrics/seed_data.py new file mode 100644 index 0000000..aa0d62b --- /dev/null +++ b/netlab/metrics/seed_data.py @@ -0,0 +1,98 @@ +"""One reader for the metric artifacts used by tables and paired comparisons.""" + +from __future__ import annotations + +import csv +import json +import os +from pathlib import Path + + +def _optional_json(path: Path) -> dict: + if not path.exists(): + return {} + data = json.loads(path.read_text(encoding="utf-8")) + if not isinstance(data, dict): + raise ValueError(f"Expected metric JSON object: {path}") + return data + + +def collect_seed_metrics(scenario_dir: Path) -> dict[int, dict[str, float]]: + """Read current JSON schemas; missing optional artifacts omit their metrics.""" + output = {} + counts = {} + counts_file = scenario_dir / "network_stats_summary.csv" + if counts_file.exists(): + with counts_file.open() as stream: + counts = { + int(row["seed"]): { + key: float(row[key]) for key in ("node_count", "link_count") + } + for row in csv.DictReader(stream) + } + for directory in sorted(scenario_dir.glob("seed*")): + if not directory.is_dir(): + continue + seed = int(directory.name.removeprefix("seed")) + alpha = _optional_json(directory / "alpha.json") + bac = _optional_json(directory / "bac.json") + latency = _optional_json(directory / "latency.json") + costs = _optional_json(directory / "costpower.json") + raw = { + **counts.get(seed, {}), + "alpha_star": alpha.get("alpha_star"), + "auc_norm": bac.get("auc_normalized"), + **{ + f"bw_p{label}_pct": bac.get("bw_at_probability_pct", {}).get( + probability + ) + for label, probability in ( + ("90", "90.0"), + ("95", "95.0"), + ("99", "99.0"), + ("999", "99.9"), + ) + }, + "lat_fail_p99": latency.get("failures", {}).get("p99"), + **{ + target: latency.get("derived", {}).get(source) + for source, target in ( + ("TD99", "lat_TD99"), + ("SLO_1_2_drop", "lat_SLO_1_2_drop"), + ("best_path_share_drop", "lat_best_path_drop"), + ("WES_delta", "lat_WES_delta"), + ) + }, + **{ + key: costs.get(key) + for key in ( + "USD_per_Gbit_offered", + "Watt_per_Gbit_offered", + "USD_per_Gbit_p999", + "Watt_per_Gbit_p999", + "capex_total", + ) + }, + } + metrics = { + key: float(value) + for key, value in raw.items() + if isinstance(value, (int, float)) + } + if metrics: + output[seed] = metrics + return output + + +def select_baseline(names: list[str], requested: str | None = None) -> str: + """Use the same explicit/environment/automatic baseline in all reports.""" + if not names: + raise ValueError("No scenarios available to select a baseline") + chosen = requested or os.environ.get("NGRAPH_BASELINE_SCENARIO") + if chosen: + if chosen not in names: + raise ValueError(f"Baseline scenario not found: {chosen}") + return chosen + return next( + (name for name in sorted(names) if "baseline" in name.lower()), sorted(names)[0] + ) diff --git a/metrics/sps.py b/netlab/metrics/sps.py similarity index 67% rename from metrics/sps.py rename to netlab/metrics/sps.py index 9aabc73..2b4b18f 100644 --- a/metrics/sps.py +++ b/netlab/metrics/sps.py @@ -6,7 +6,8 @@ import numpy as np import pandas as pd -from .common import expand_flow_results +from .common import expand_flow_results, pair_totals, require_capacity_pairs +from .distributions import threshold_at_probability @dataclass @@ -17,8 +18,6 @@ class SpsResult: tails: Dict[str, float] # SPS at probability p (threshold met/exceeded with probability p) sps_at_probability: Dict[float, float] - # Optional gaps vs placement BW@p (computed by caller) - gap_vs_bw_at_p: Dict[float, float] def to_jsonable(self) -> dict: return { @@ -27,9 +26,6 @@ def to_jsonable(self) -> dict: "sps_at_probability": { str(k): float(v) for k, v in self.sps_at_probability.items() }, - "gap_vs_bw_at_p": { - str(k): float(v) for k, v in self.gap_vs_bw_at_p.items() - }, } @@ -40,20 +36,11 @@ def _extract_baseline_demands_tm(results: dict) -> Dict[str, float]: base = data.get("baseline") if not isinstance(base, dict): return {} - out: Dict[str, float] = {} - for rec in base.get("flows", []) or []: - s = rec.get("source", "") - d = rec.get("destination", "") - if not s or not d or s == d: - continue - try: - dem = float(rec.get("demand", 0.0)) - except Exception: - dem = 0.0 - if dem <= 0.0: - continue - out[f"{s}→{d}"] = dem - return out + return { + f"{s}→{d}": demand + for (s, d), demand in pair_totals(base, "demand").items() + if demand > 0 + } def _per_iteration_pair_caps(results: dict) -> pd.DataFrame: @@ -65,25 +52,15 @@ def _per_iteration_pair_caps(results: dict) -> pd.DataFrame: data = mf_step.get("data", {}) or {} fr = expand_flow_results(data.get("flow_results", []) or []) pairs: Dict[str, Dict[str, float]] = {} - ids: List[str] = [] for idx, it in enumerate(fr): - fid = f"it{idx}" - ids.append(fid) - col: Dict[str, float] = {} - for rec in it.get("flows", []) or []: - s = rec.get("source", "") - d = rec.get("destination", "") - if not s or not d or s == d: - continue - try: - cap = float(rec.get("placed", 0.0)) - except Exception: - cap = 0.0 - col[f"{s}→{d}"] = cap - pairs[fid] = col + pairs[f"it{idx}"] = { + f"{s}→{d}": capacity + for (s, d), capacity in pair_totals(it, "placed").items() + } if not pairs: return pd.DataFrame() - df = pd.DataFrame.from_dict(pairs, orient="index").fillna(0.0) + df = pd.DataFrame(list(pairs.values()), index=list(pairs)).fillna(0.0) + df = df.reindex(columns=list(_extract_baseline_demands_tm(results)), fill_value=0.0) df.index.name = "failure_id" return df @@ -91,23 +68,20 @@ def _per_iteration_pair_caps(results: dict) -> pd.DataFrame: def compute_sps(results: dict) -> SpsResult: dem_base = _extract_baseline_demands_tm(results) if not dem_base: - # No baseline demands → empty result return SpsResult( series=pd.Series(dtype=float), tails={}, sps_at_probability={}, - gap_vs_bw_at_p={}, ) + require_capacity_pairs(results) caps = _per_iteration_pair_caps(results) if caps is None or caps.empty: return SpsResult( series=pd.Series(dtype=float), tails={}, sps_at_probability={}, - gap_vs_bw_at_p={}, ) - # Align columns (pairs); missing caps treated as 0 pairs = list(dem_base.keys()) caps = caps.reindex(columns=pairs, fill_value=0.0) dem_vec = np.array([dem_base[p] for p in pairs], dtype=float) @@ -117,7 +91,6 @@ def compute_sps(results: dict) -> SpsResult: series=pd.Series(dtype=float), tails={}, sps_at_probability={}, - gap_vs_bw_at_p={}, ) sps_vals: List[float] = [] @@ -129,10 +102,8 @@ def compute_sps(results: dict) -> SpsResult: sps = float(np.sum(headroom * dem_vec) / total_dem) sps_vals.append(sps) - # Per-iteration series in the same order series = pd.Series(sps_vals, index=caps.index, dtype=float) - # Tails and SPS@p tails = { "p50": float(series.quantile(0.50, interpolation="lower")), "p90": float(series.quantile(0.90, interpolation="lower")), @@ -143,9 +114,6 @@ def compute_sps(results: dict) -> SpsResult: } sps_at_p = {} for p in (90.0, 95.0, 99.0, 99.9, 99.99): - q = max(0.0, 1.0 - (p / 100.0)) - sps_at_p[p] = float(series.quantile(q, interpolation="lower")) + sps_at_p[p] = threshold_at_probability(series.to_numpy(), p) - return SpsResult( - series=series, tails=tails, sps_at_probability=sps_at_p, gap_vs_bw_at_p={} - ) + return SpsResult(series=series, tails=tails, sps_at_probability=sps_at_p) diff --git a/netlab/metrics/summary.py b/netlab/metrics/summary.py new file mode 100644 index 0000000..7d62c44 --- /dev/null +++ b/netlab/metrics/summary.py @@ -0,0 +1,825 @@ +from __future__ import annotations + +import math +from pathlib import Path +from typing import Any, Dict, List, Optional, Tuple + +import numpy as np +import pandas as pd +from rich.console import Console +from rich.table import Table as RichTable + +from netlab.artifacts import write_csv_atomic + +from .comparisons import compare_scenarios +from .paired import holm_series, paired_t +from .seed_data import collect_seed_metrics, select_baseline + + +def _is_number(value: Any) -> bool: + return isinstance(value, (int, float)) and not ( + isinstance(value, float) and math.isnan(value) + ) + + +def _fmt(value: Any, digits: int = 3) -> str: + if value is None: + return "–" + if _is_number(value): + v = float(value) + if math.isfinite(v): + nearest = round(v) + if abs(v - nearest) <= max(1e-9, 1e-9 * max(abs(v), 1.0)): + return f"{int(nearest):,}" + return f"{v:,.{digits}f}" + return str(value) + + +def _safe_float(x: Any) -> float: + try: + return float(x) + except (ValueError, TypeError, KeyError, OSError): + return float("nan") + + +def _median_ignore_nan(values: List[Any]) -> float: + arr = np.array([_safe_float(v) for v in values], dtype=float) + arr = arr[np.isfinite(arr)] + if arr.size == 0: + return float("nan") + return float(np.nanmedian(arr)) + + +def build_project_summary_table(analysis_root: Path) -> pd.DataFrame: + """Build scenario medians from alpha, BAC, latency, cost, and network summaries.""" + rows: List[Dict[str, Any]] = [] + if not analysis_root.exists(): + return pd.DataFrame() + + for scen_dir in sorted([p for p in analysis_root.iterdir() if p.is_dir()]): + scenario = scen_dir.name + if scenario.startswith("_"): + continue + + alpha_med = float("nan") + bw_p90 = float("nan") + bw_p95 = float("nan") + bw_p99 = float("nan") + bw_p999 = float("nan") + auc_norm = float("nan") + lat_base_p50 = float("nan") + lat_fail_p99 = float("nan") + lat_TD99 = float("nan") + lat_SLO_1_2_drop = float("nan") + lat_best_path_drop = float("nan") + lat_WES_delta = float("nan") + usd_per_gbit_p999 = float("nan") + watt_per_gbit_p999 = float("nan") + usd_per_gbit_offered = float("nan") + watt_per_gbit_offered = float("nan") + capex_total = float("nan") + node_count = float("nan") + link_count = float("nan") + seeds_count = 0 + iters_fail = float("nan") + iters_total = float("nan") + unique_patterns = float("nan") + tm_duration_total_sec = float("nan") + tm_duration_per_iter_sec = float("nan") + + ap = scen_dir / "alpha_summary.json" + if ap.exists(): + import json + + a2 = json.loads(ap.read_text(encoding="utf-8")) + alpha_med = _safe_float(a2.get("median")) + + bp = scen_dir / "bac_summary.json" + if bp.exists(): + import json + + b = json.loads(bp.read_text(encoding="utf-8")) + tail = b.get("tail", {}) or {} + auc_norm = _safe_float(tail.get("auc_norm")) + bw_p90 = ( + _safe_float(tail.get("bw_p90_pct")) + if "bw_p90_pct" in tail + else float("nan") + ) + bw_p95 = ( + _safe_float(tail.get("bw_p95_pct")) + if "bw_p95_pct" in tail + else float("nan") + ) + bw_p99 = ( + _safe_float(tail.get("bw_p99_pct")) + if "bw_p99_pct" in tail + else float("nan") + ) + bw_p999 = ( + _safe_float(tail.get("bw_p999_pct")) + if "bw_p999_pct" in tail + else float("nan") + ) + + lp = scen_dir / "latency_summary.csv" + if lp.exists(): + df_lat = pd.read_csv(lp) + + def _med(col: str, _df_lat: pd.DataFrame = df_lat) -> float: + if col in _df_lat.columns: + series = pd.to_numeric(_df_lat[col], errors="coerce") + vals = np.asarray(series.values, dtype=float) + return float(np.nanmedian(vals)) + return float("nan") + + lat_base_p50 = _med("base_p50") + lat_fail_p99 = _med("fail_p99") + lat_TD99 = _med("TD99") + lat_SLO_1_2_drop = _med("SLO_1_2_drop") + lat_best_path_drop = _med("best_path_share_drop") + lat_WES_delta = _med("WES_delta") + + nsp = scen_dir / "network_stats_summary.csv" + if nsp.exists(): + df_ns = pd.read_csv(nsp) + if "node_count" in df_ns.columns: + node_count = float( + np.nanmedian(pd.to_numeric(df_ns["node_count"], errors="coerce")) + ) + if "link_count" in df_ns.columns: + link_count = float( + np.nanmedian(pd.to_numeric(df_ns["link_count"], errors="coerce")) + ) + seeds_count = max(seeds_count, int(df_ns.shape[0])) + + cpp = scen_dir / "costpower_summary.csv" + iop = scen_dir / "iterops_summary.csv" + if iop.exists(): + df_io = pd.read_csv(iop) + + def _med_col(name: str, _df_io: pd.DataFrame = df_io) -> float: + if name not in _df_io.columns: + return float("nan") + series = pd.to_numeric(_df_io[name], errors="coerce") + vals = np.asarray(series.values, dtype=float) + return float(np.nanmedian(vals)) + + iters_fail = _med_col("iters_fail") + iters_total = _med_col("iters_total") + unique_patterns = _med_col("unique_patterns") + tm_duration_total_sec = _med_col("tm_duration_total_sec") + tm_duration_per_iter_sec = _med_col("tm_duration_per_iter_sec") + seeds_count = max(seeds_count, int(df_io.shape[0])) + + if cpp.exists(): + df_cp = pd.read_csv(cpp) + seeds_count = max(seeds_count, int(df_cp.shape[0])) + for col, var in ( + ("USD_per_Gbit_p999", "usd_per_gbit_p999"), + ("Watt_per_Gbit_p999", "watt_per_gbit_p999"), + ("USD_per_Gbit_offered", "usd_per_gbit_offered"), + ("Watt_per_Gbit_offered", "watt_per_gbit_offered"), + ("capex_total", "capex_total"), + ): + if col in df_cp.columns: + series = pd.to_numeric(df_cp[col], errors="coerce") + vals = np.asarray(series.values, dtype=float) + val = float(np.nanmedian(vals)) + if var == "usd_per_gbit_p999": + usd_per_gbit_p999 = val + elif var == "watt_per_gbit_p999": + watt_per_gbit_p999 = val + elif var == "usd_per_gbit_offered": + usd_per_gbit_offered = val + elif var == "watt_per_gbit_offered": + watt_per_gbit_offered = val + elif var == "capex_total": + capex_total = val + + if seeds_count == 0: + raise ValueError(f"No seeds counted for scenario {scenario}") + + row = { + "scenario": scenario, + "seeds": seeds_count, + "node_count": node_count, + "link_count": link_count, + "alpha_star": alpha_med, + "bw_p90": bw_p90, + "bw_p95": bw_p95, + "bw_p99": bw_p99, + "bw_p999": bw_p999, + "bac_auc": auc_norm, + "lat_base_p50": lat_base_p50, + "lat_fail_p99": lat_fail_p99, + "lat_TD99": lat_TD99, + "lat_SLO_1_2_drop": lat_SLO_1_2_drop, + "lat_best_path_drop": lat_best_path_drop, + "lat_WES_delta": lat_WES_delta, + "iters_fail": iters_fail, + "iters_total": iters_total, + "unique_patterns": unique_patterns, + "tm_duration_total_sec": tm_duration_total_sec, + "tm_duration_per_iter_sec": tm_duration_per_iter_sec, + "USD_per_Gbit_offered": usd_per_gbit_offered, + "Watt_per_Gbit_offered": watt_per_gbit_offered, + "USD_per_Gbit_p999": usd_per_gbit_p999, + "Watt_per_Gbit_p999": watt_per_gbit_p999, + "capex_total": capex_total, + } + rows.append(row) + + if not rows: + return pd.DataFrame() + + df = pd.DataFrame(rows).set_index("scenario").sort_index() + cols = [ + "seeds", + "node_count", + "link_count", + "alpha_star", + "bw_p90", + "bw_p95", + "bw_p99", + "bw_p999", + "bac_auc", + "lat_base_p50", + "lat_fail_p99", + "lat_TD99", + "lat_SLO_1_2_drop", + "lat_best_path_drop", + "lat_WES_delta", + "iters_fail", + "iters_total", + "unique_patterns", + "tm_duration_total_sec", + "tm_duration_per_iter_sec", + "USD_per_Gbit_offered", + "Watt_per_Gbit_offered", + "USD_per_Gbit_p999", + "Watt_per_Gbit_p999", + "capex_total", + ] + cols = [c for c in cols if c in df.columns] + [ + c for c in df.columns if c not in cols + ] + return df[cols] + + +def print_pretty_table( + df: pd.DataFrame, title: Optional[str] = None, digits: int = 3 +) -> None: + if df is None or df.empty: + return + console = Console() + table = RichTable(title=title, show_lines=False, show_header=True, pad_edge=False) + label_map = { + "node_count": "nodes", + "link_count": "links", + "node_count_r": "nodes r", + "link_count_r": "links r", + "alpha_star": "alpha*", + "bw_p90": "BW@90%", + "bw_p95": "BW@95%", + "bw_p99": "BW@99%", + "bw_p999": "BW@99.9%", + "bac_auc": "BAC AUC", + "lat_base_p50": "lat base p50", + "lat_fail_p99": "lat fail p99", + "lat_TD99": "TD99", + "lat_SLO_1_2_drop": "SLO≤1.2 drop", + "lat_best_path_drop": "best-path drop", + "lat_WES_delta": "WES Δ", + "iters_fail": "failure iterations", + "iters_total": "total iterations", + "unique_patterns": "unique patterns", + "USD_per_Gbit_offered": "USD/Gbps offered", + "Watt_per_Gbit_offered": "W/Gbps offered", + "USD_per_Gbit_p999": "USD/Gbps p99.9", + "Watt_per_Gbit_p999": "W/Gbps p99.9", + "capex_total": "CapEx (USD)", + } + index_label = str(df.index.name) if df.index.name is not None else "scenario" + table.add_column(index_label) + for col in df.columns: + table.add_column(label_map.get(str(col), str(col)), justify="right") + for idx, row in df.iterrows(): + table.add_row(str(idx), *[_fmt(v, digits) for v in row.tolist()]) + console.print(table) + console.print( + "\n[dim]- Ratios: higher is better (BW@p, BAC AUC); lower is better (lat_fail_p99, cost/power).\n- Drops/deltas: closer to 0 is better (SLO drop, best-path drop, WES Δ).[/dim]" + ) + + +def save_project_csv_incremental(df: pd.DataFrame, cwd: Optional[Path] = None) -> Path: + """Save df to cwd as project_{n}.csv (n increments to avoid overwrite).""" + out_dir = cwd or Path.cwd() + n = 0 + while True: + out_path = out_dir / f"project_{n}.csv" + if not out_path.exists(): + write_csv_atomic(out_path, df.reset_index()) + return out_path + n += 1 + + +def summarize_and_print( + analysis_root: Path, title: str = "Project summary", write_project_csv: bool = True +) -> Optional[Path]: + df = build_project_summary_table(analysis_root) + if df.empty: + print("(no scenarios summarized)") + return None + print_pretty_table(df, title=title) + base_df = build_baseline_normalized_table(analysis_root) + if not base_df.empty: + print_pretty_table( + base_df, title="Baseline-normalized metrics (scenario / baseline)" + ) + write_csv_atomic( + (analysis_root / "project_baseline_normalized.csv"), + base_df.reset_index(), + ) + _print_normalized_insights(analysis_root) + if write_project_csv: + return save_project_csv_incremental(df) + return None + + +def write_normalized_insights_csv(analysis_root: Path) -> Optional[Path]: + """Write normalized_insights.csv with one row per scenario. + + Each metric has ``__mean``, ``__n``, ``__p``, and Holm-adjusted ``__p_adj`` + columns. Return the path, or None when no comparisons are available. + """ + res = _build_normalized_insights(analysis_root) + if not res: + return None + df = pd.DataFrame(res).set_index("scenario").sort_index() + + p_adj_cols: Dict[str, pd.Series] = {} + for c in sorted(df.columns): + if c.endswith("__p"): + base = c[:-3] + p_adj_cols[f"{base}__p_adj"] = holm_series( + pd.to_numeric(df[c], errors="coerce") + ) + for name, series in p_adj_cols.items(): + df[name] = series + out_path = analysis_root / "normalized_insights.csv" + write_csv_atomic(out_path, df.reset_index()) + return out_path + + +def write_project_per_seed_abs_csv(analysis_root: Path) -> Optional[Path]: + """Write absolute metrics and network counts, one row per scenario and seed.""" + scenarios = [ + p + for p in sorted(analysis_root.iterdir()) + if p.is_dir() and not p.name.startswith("_") + ] + if not scenarios: + return None + rows: List[Dict[str, Any]] = [] + for scen_dir in scenarios: + scen = scen_dir.name + ns_csv = scen_dir / "network_stats_summary.csv" + ns_map: Dict[int, Tuple[float, float]] = {} + if ns_csv.exists(): + df_ns = pd.read_csv(ns_csv) + for _, r in df_ns.iterrows(): + seed_val = r.get("seed") + try: + s = int(seed_val) if seed_val is not None else None + except (ValueError, TypeError, KeyError, OSError): + s = None + if s is None: + continue + ns_map[s] = ( + float(r.get("node_count", float("nan"))), + float(r.get("link_count", float("nan"))), + ) + columns = ( + "auc_norm", + "bw_p99_pct", + "lat_fail_p99", + "USD_per_Gbit_offered", + "Watt_per_Gbit_offered", + "USD_per_Gbit_p999", + "Watt_per_Gbit_p999", + "capex_total", + ) + for seed, metrics in collect_seed_metrics(scen_dir).items(): + rec: Dict[str, Any] = {"scenario": scen, "seed": seed} + if seed in ns_map: + rec["node_count"], rec["link_count"] = ns_map[seed] + rec.update({key: metrics[key] for key in columns if key in metrics}) + rows.append(rec) + if not rows: + return None + df = pd.DataFrame(rows) + out_path = analysis_root / "project_per_seed_abs.csv" + write_csv_atomic(out_path, df) + return out_path + + +def write_normalized_per_seed_csv(analysis_root: Path) -> Optional[Path]: + """Write per-seed baseline-normalized metrics across all scenarios (excluding baseline). + + Uses the same per-seed normalization as insights: ratios vs 1.0 and deltas vs 0.0. + Columns: scenario, seed, then *_r and *_d metrics. + """ + data = _collect_normalized_per_seed(analysis_root) + if not data: + return None + rows: List[Dict[str, Any]] = [] + for scen, seed_map in data.items(): + for seed, metrics in seed_map.items(): + rec = {"scenario": scen, "seed": int(seed)} + for k, v in metrics.items(): + rec[str(k)] = float(v) + rows.append(rec) + if not rows: + return None + df = pd.DataFrame(rows) + out_path = analysis_root / "project_baseline_normalized_per_seed.csv" + write_csv_atomic(out_path, df) + return out_path + + +def build_baseline_normalized_table( + analysis_root: Path, baseline_scenario: Optional[str] = None +) -> pd.DataFrame: + """Normalize on matching seeds, then take each scenario's median. + + Bandwidth, AUC, latency p99, and unit cost/power use scenario/baseline ratios. + SLO drop, best-path drop, and WES delta use differences. Keep TD99 unchanged. + """ + if not analysis_root.exists(): + raise FileNotFoundError(f"Analysis root not found: {analysis_root}") + scenarios = [ + p + for p in sorted(analysis_root.iterdir()) + if p.is_dir() and not p.name.startswith("_") + ] + if not scenarios: + raise ValueError("No scenarios found under analysis root") + base_name = select_baseline([p.name for p in scenarios], baseline_scenario) + scen_to_seed_metrics = {p.name: collect_seed_metrics(p) for p in scenarios} + if base_name not in scen_to_seed_metrics: + raise ValueError(f"Baseline scenario not found: {base_name}") + base = scen_to_seed_metrics[base_name] + rows: List[Dict[str, Any]] = [] + + ratio_keys = [ + "node_count", + "link_count", + "bw_p90_pct", + "bw_p95_pct", + "bw_p99_pct", + "bw_p999_pct", + "auc_norm", + "lat_fail_p99", + "USD_per_Gbit_offered", + "Watt_per_Gbit_offered", + "USD_per_Gbit_p999", + "Watt_per_Gbit_p999", + ] + delta_keys = ["lat_SLO_1_2_drop", "lat_best_path_drop", "lat_WES_delta"] + passthrough_keys = ["lat_TD99"] + + for scen_name, seed_map in scen_to_seed_metrics.items(): + common = sorted(set(seed_map.keys()) & set(base.keys())) + if not common: + continue + ratios: Dict[str, List[float]] = {k: [] for k in ratio_keys} + deltas: Dict[str, List[float]] = {k: [] for k in delta_keys} + passthrough: Dict[str, List[float]] = {k: [] for k in passthrough_keys} + for s in common: + sm = seed_map.get(s, {}) + bm = base.get(s, {}) + for k in ratio_keys: + a = sm.get(k) + b = bm.get(k) + a = float(a) if isinstance(a, (int, float)) else float("nan") + b = float(b) if isinstance(b, (int, float)) else float("nan") + r = ( + (a / b) + if (np.isfinite(a) and np.isfinite(b) and b != 0.0) + else float("nan") + ) + ratios[k].append(r) + for k in delta_keys: + a = sm.get(k) + b = bm.get(k) + a = float(a) if isinstance(a, (int, float)) else float("nan") + b = float(b) if isinstance(b, (int, float)) else float("nan") + d = (a - b) if (np.isfinite(a) and np.isfinite(b)) else float("nan") + deltas[k].append(d) + for k in passthrough_keys: + v = sm.get(k) + v = float(v) if isinstance(v, (int, float)) else float("nan") + passthrough[k].append(v) + + row: Dict[str, Any] = {"scenario": scen_name, "baseline": base_name} + + for k, series in ratios.items(): + arr = np.asarray(series, dtype=float) + arr = arr[np.isfinite(arr)] + row[f"{k}_r"] = float(np.nanmedian(arr)) if arr.size else float("nan") + for k, series in deltas.items(): + arr = np.asarray(series, dtype=float) + arr = arr[np.isfinite(arr)] + row[f"{k}_d"] = float(np.nanmedian(arr)) if arr.size else float("nan") + for k, series in passthrough.items(): + arr = np.asarray(series, dtype=float) + arr = arr[np.isfinite(arr)] + row[k] = float(np.nanmedian(arr)) if arr.size else float("nan") + rows.append(row) + + if not rows: + return pd.DataFrame() + df = pd.DataFrame(rows).set_index("scenario").sort_index() + col_order = [ + "baseline", + "node_count_r", + "link_count_r", + "bw_p90_pct_r", + "bw_p95_pct_r", + "bw_p99_pct_r", + "bw_p999_pct_r", + "auc_norm_r", + "lat_fail_p99_r", + "USD_per_Gbit_offered_r", + "Watt_per_Gbit_offered_r", + "USD_per_Gbit_p999_r", + "Watt_per_Gbit_p999_r", + "lat_SLO_1_2_drop_d", + "lat_best_path_drop_d", + "lat_WES_delta_d", + "lat_TD99", + ] + cols = [c for c in col_order if c in df.columns] + [ + c for c in df.columns if c not in col_order + ] + return df[cols] + + +def _collect_normalized_per_seed( + analysis_root: Path, baseline_scenario: Optional[str] = None +) -> Dict[str, Dict[int, Dict[str, float]]]: + """Return {scenario: {seed: metric->value}} for baseline-normalized metrics per seed. + Values are ratios for ratio metrics and deltas for drop metrics, computed per seed vs baseline. + """ + scenarios = [ + p + for p in sorted(analysis_root.iterdir()) + if p.is_dir() and not p.name.startswith("_") + ] + if not scenarios: + return {} + base_name = select_baseline([p.name for p in scenarios], baseline_scenario) + full = {p.name: collect_seed_metrics(p) for p in scenarios} + if base_name not in full: + return {} + base = full[base_name] + ratio_keys = [ + "node_count", + "link_count", + "bw_p90_pct", + "bw_p95_pct", + "bw_p99_pct", + "bw_p999_pct", + "auc_norm", + "lat_fail_p99", + "USD_per_Gbit_offered", + "Watt_per_Gbit_offered", + "USD_per_Gbit_p999", + "Watt_per_Gbit_p999", + ] + delta_keys = ["lat_SLO_1_2_drop", "lat_best_path_drop", "lat_WES_delta"] + passthrough_keys = ["lat_TD99"] + out: Dict[str, Dict[int, Dict[str, float]]] = {} + for scen, seed_map in full.items(): + if scen == base_name: + continue + common = set(seed_map.keys()) & set(base.keys()) + if not common: + continue + per_seed: Dict[int, Dict[str, float]] = {} + for s in common: + sm = seed_map.get(s, {}) + bm = base.get(s, {}) + rec: Dict[str, float] = {} + for k in ratio_keys: + a = ( + float(sm.get(k, float("nan"))) + if isinstance(sm.get(k), (int, float)) + else float("nan") + ) + b = ( + float(bm.get(k, float("nan"))) + if isinstance(bm.get(k), (int, float)) + else float("nan") + ) + rec[f"{k}_r"] = ( + (a / b) + if (np.isfinite(a) and np.isfinite(b) and b != 0.0) + else float("nan") + ) + for k in delta_keys: + a = ( + float(sm.get(k, float("nan"))) + if isinstance(sm.get(k), (int, float)) + else float("nan") + ) + b = ( + float(bm.get(k, float("nan"))) + if isinstance(bm.get(k), (int, float)) + else float("nan") + ) + rec[f"{k}_d"] = ( + (a - b) if (np.isfinite(a) and np.isfinite(b)) else float("nan") + ) + for k in passthrough_keys: + v = sm.get(k) + rec[k] = float(v) if isinstance(v, (int, float)) else float("nan") + per_seed[int(s)] = rec + if per_seed: + out[scen] = per_seed + return out + + +def _build_normalized_insights(analysis_root: Path) -> List[Dict[str, Any]]: + """Paired tests on baseline-normalized metrics per seed (scenario vs 1.0 for ratios; vs 0.0 for deltas).""" + data = _collect_normalized_per_seed(analysis_root) + if not data: + return [] + ratio_metrics = [ + "node_count_r", + "link_count_r", + "bw_p90_pct_r", + "bw_p95_pct_r", + "bw_p99_pct_r", + "bw_p999_pct_r", + "auc_norm_r", + "lat_fail_p99_r", + "USD_per_Gbit_offered_r", + "Watt_per_Gbit_offered_r", + "USD_per_Gbit_p999_r", + "Watt_per_Gbit_p999_r", + ] + delta_metrics = [ + "lat_SLO_1_2_drop_d", + "lat_best_path_drop_d", + "lat_WES_delta_d", + ] + results: List[Dict[str, Any]] = [] + for scen, seed_map in data.items(): + rec: Dict[str, Any] = {"scenario": scen} + for m in ratio_metrics: + vals = [v.get(m, float("nan")) for v in seed_map.values()] + arr = np.asarray(vals, dtype=float) + arr = arr[np.isfinite(arr)] + if arr.size >= 3: + t_res = paired_t(arr, np.ones_like(arr)) + rec[f"{m}__n"] = int(arr.size) + rec[f"{m}__mean"] = float(np.mean(arr)) + rec[f"{m}__p"] = float(t_res.get("p", float("nan"))) + for m in delta_metrics: + vals = [v.get(m, float("nan")) for v in seed_map.values()] + arr = np.asarray(vals, dtype=float) + arr = arr[np.isfinite(arr)] + if arr.size >= 3: + t_res = paired_t(arr, np.zeros_like(arr)) + rec[f"{m}__n"] = int(arr.size) + rec[f"{m}__mean"] = float(np.mean(arr)) + rec[f"{m}__p"] = float(t_res.get("p", float("nan"))) + results.append(rec) + return results + + +def _print_normalized_insights(analysis_root: Path, alpha: float = 0.05) -> None: + """Print baseline-normalized comparisons (per-seed means with n and p).""" + res = _build_normalized_insights(analysis_root) + if not res: + print("\n(no baseline-normalized insights available)") + return + df = pd.DataFrame(res).set_index("scenario") + + display_cols: List[str] = [] + header_map: Dict[str, str] = {} + for c in sorted(df.columns): + if c.endswith("__mean"): + base = c[:-6] + header = base + header_map[base] = header + display_cols.append(base) + out_df = pd.DataFrame(index=df.index) + p_adj_map: Dict[str, pd.Series] = {} + for base in display_cols: + p_col = f"{base}__p" + if p_col in df.columns: + p_adj_map[base] = holm_series(pd.to_numeric(df[p_col], errors="coerce")) + for base in display_cols: + mean = df.get(f"{base}__mean") + n = df.get(f"{base}__n") + p = p_adj_map.get(base, df.get(f"{base}__p")) + vals: List[str] = [] + for i in range(df.shape[0]): + m_val = float(mean.iloc[i]) if mean is not None else float("nan") + n_raw = n.iloc[i] if n is not None else None + nval = int(n_raw) if n_raw is not None and pd.notna(n_raw) else 0 + pval = float(p.iloc[i]) if p is not None else float("nan") + if not math.isfinite(m_val): + vals.append("–") + else: + vals.append(f"{m_val:.3f} (n={nval}, adj_p={pval:.3f})") + out_df[base] = vals + print_pretty_table( + out_df, + title="All baseline-normalized comparisons vs target (mean, n, adj_p)", + ) + + +def _print_project_insights(analysis_root: Path, alpha: float = 0.05) -> None: + insights = compare_scenarios(analysis_root, alpha=alpha) + if not insights: + print("\n(no project insights available)") + return + + sig = [ + r + for r in insights + if (math.isfinite(r.get("p_adj", float("nan"))) and r["p_adj"] < alpha) + ] + if not sig: + print( + "\nNo statistically significant paired differences at Holm-adjusted alpha = 0.05." + ) + return + + header = "Project insights (Holm-adjusted p < 0.05)" + metric_order = { + "alpha_star": 0, + "bw_p999_pct": 1, + "lat_fail_p99": 2, + "USD_per_Gbit_p999": 4, + "Watt_per_Gbit_p999": 5, + "capex_total": 6, + } + + def _metric_sort_key(x: Dict[str, Any]) -> Tuple[int, str, str]: + return ( + metric_order.get(x.get("metric", "zzz"), 999), + x.get("scen_a", ""), + x.get("scen_b", ""), + ) + + ordered = list(sorted(sig, key=_metric_sort_key)) + console = Console() + table = RichTable(title=header) + table.add_column("Metric") + table.add_column("A") + table.add_column("B") + table.add_column("n", justify="right") + table.add_column("Δ mean", justify="right") + table.add_column("95% CI", justify="right") + table.add_column("t", justify="right") + table.add_column("p(adj)", justify="right") + table.add_column("det", justify="center") + + def _label(m: str) -> str: + return { + "alpha_star": "alpha*", + "bw_p999_pct": "BAC p99.9", + "lat_fail_p99": "Latency p99", + "USD_per_Gbit_p999": "USD/Gbps p99.9", + "Watt_per_Gbit_p999": "Watt/Gbps p99.9", + "capex_total": "CapEx (USD)", + }.get(m, m) + + for r in ordered: + metric = r["metric"] + scen_a = r["scen_a"] + scen_b = r["scen_b"] + n = int(r.get("n", 0)) + mean_diff = _fmt(r.get("mean_diff", float("nan"))) + ci_low = _fmt(r.get("ci_low", float("nan"))) + ci_high = _fmt(r.get("ci_high", float("nan"))) + t_stat = r.get("t_stat", float("nan")) + p_adj = r.get("p_adj", float("nan")) + det = "✓" if r.get("deterministic") else "" + table.add_row( + _label(metric), + scen_a, + scen_b, + str(n), + mean_diff, + f"[{ci_low}, {ci_high}]", + (f"{t_stat:.3f}" if math.isfinite(float(t_stat)) else "–"), + (f"{p_adj:.4f}" if math.isfinite(float(p_adj)) else "–"), + det, + ) + console.print(table) diff --git a/netlab/metrics/validation.py b/netlab/metrics/validation.py new file mode 100644 index 0000000..39f6ed9 --- /dev/null +++ b/netlab/metrics/validation.py @@ -0,0 +1,147 @@ +"""Validate arithmetic and sample accounting in current NetGraph results.""" + +from __future__ import annotations + +import math + +from .common import flow_occurrence_count, nonnegative_number +from .msd import compute_alpha_star + + +def _require_steps(res: dict, require_maxflow: bool) -> None: + required = ["msd_baseline", "tm_placement"] + if require_maxflow: + required.append("node_to_node_capacity_matrix") + for step in required: + if step not in res.get("steps", {}): + raise ValueError(f"Missing required step in results: {step}") + + +def _validate_alpha_and_base_demands(res: dict) -> float: + demands = ( + res.get("steps", {}).get("msd_baseline", {}).get("data", {}).get("base_demands") + ) + if not isinstance(demands, list) or not demands: + raise ValueError("MSD base_demands must be a nonempty list") + for demand in demands: + for field in ("source", "target"): + value = demand.get(field) + if not isinstance(value, (str, dict)) or ( + isinstance(value, str) and not value.strip() + ): + raise ValueError( + f"MSD demand requires a nonempty source/target selector: {field}" + ) + volume = nonnegative_number(demand.get("volume"), "MSD demand volume") + if volume == 0: + raise ValueError("MSD base_demands contains a zero-demand entry") + alpha = compute_alpha_star(res) + if alpha.base_total_demand <= 0: + raise ValueError("MSD base_total_demand must be positive") + return nonnegative_number( + alpha.base_total_demand * alpha.alpha_star, "scaled demand" + ) + + +def _close(actual: float, expected: float, context: str) -> None: + if not math.isclose(actual, expected, rel_tol=1e-9, abs_tol=1e-6): + raise ValueError(f"{context}: {actual} does not match {expected}") + + +def _validate_iteration(it: dict, name: str, expected_demand: float | None) -> None: + flows = it.get("flows") + if not isinstance(flows, list): + raise ValueError(f"{name}: flows must be a list") + total_demand = total_placed = 0.0 + for flow in flows: + source, target = flow.get("source"), flow.get("destination") + if ( + not isinstance(source, str) + or not isinstance(target, str) + or not source + or not target + ): + raise ValueError(f"{name}: invalid flow endpoints") + demand, placed, dropped = [ + nonnegative_number(flow.get(k), f"{name}.{k}") + for k in ("demand", "placed", "dropped") + ] + if source == target and (demand or placed or dropped): + raise ValueError(f"{name}: self-pair must have zero flow") + _close(placed + dropped, demand, f"{name}: placed + dropped vs demand") + costs = flow.get("cost_distribution", {}) + if not isinstance(costs, dict): + raise ValueError(f"{name}: cost_distribution must be a mapping") + if costs: + volume = 0.0 + for cost, weight in costs.items(): + nonnegative_number(cost, f"{name}.cost") + volume += nonnegative_number(weight, f"{name}.cost volume") + _close(volume, placed, f"{name}: cost_distribution volume vs placed") + total_demand += demand + total_placed += placed + if expected_demand is not None: + _close( + total_demand, + expected_demand, + f"{name}: total flow demand vs base_demands × alpha_star", + ) + summary = it.get("summary", {}) + for key, actual in [("total_demand", total_demand), ("total_placed", total_placed)]: + if key in summary: + _close( + nonnegative_number(summary[key], key), + actual, + f"{name}: summary.{key} vs flow sum", + ) + if "overall_ratio" in summary and total_demand > 0: + _close( + nonnegative_number(summary["overall_ratio"], "overall_ratio"), + total_placed / total_demand, + f"{name}: overall_ratio", + ) + if "num_flows" in summary and summary["num_flows"] != len(flows): + raise ValueError(f"{name}: num_flows disagrees with flow records") + + +def validate_sample_counts(step: dict, name: str) -> None: + data = step.get("data", {}) + failures = data.get("flow_results") + if not isinstance(failures, list): + raise ValueError(f"{name}: flow_results must be a list") + counts = [flow_occurrence_count(it) for it in failures] + metadata = step.get("metadata", {}) + for key, expected in [ + ("iterations", sum(counts)), + ("unique_patterns", len(counts)), + ]: + if key in metadata and ( + type(metadata[key]) is not int or metadata[key] != expected + ): + raise ValueError(f"{name}: metadata.{key} disagrees with occurrence counts") + if "occurrence_counts" in metadata and metadata["occurrence_counts"] != counts: + raise ValueError( + f"{name}: metadata.occurrence_counts disagrees with flow results" + ) + + +def _validate_step(res: dict, name: str, expected_demand: float | None) -> None: + step = res["steps"][name] + data = step.get("data", {}) + baseline = data.get("baseline") + if not isinstance(baseline, dict): + raise ValueError(f"{name}.data.baseline dict required") + validate_sample_counts(step, name) + _validate_iteration(baseline, f"{name}.baseline", expected_demand) + for index, iteration in enumerate(data["flow_results"]): + _validate_iteration(iteration, f"{name}.failure[{index}]", expected_demand) + + +def _validate_tm_placement_baseline( + res: dict, expected_total_at_alpha: float | None +) -> None: + _validate_step(res, "tm_placement", expected_total_at_alpha) + + +def _validate_maxflow_baseline(res: dict) -> None: + _validate_step(res, "node_to_node_capacity_matrix", None) diff --git a/netlab/metrics_cmd.py b/netlab/metrics_cmd.py deleted file mode 100644 index 1cd95db..0000000 --- a/netlab/metrics_cmd.py +++ /dev/null @@ -1,1313 +0,0 @@ -#!/usr/bin/env python3 -"""Compute per-seed metrics, aggregate scenarios, and write tables and plots.""" - -from __future__ import annotations - -import hashlib -import io -import json -import logging -import os -import platform -import re -import subprocess -import sys -from contextlib import redirect_stdout -from dataclasses import dataclass, field -from datetime import datetime, timezone -from pathlib import Path -from typing import Any, Dict, List, Optional, Tuple - -import matplotlib.pyplot as plt -import numpy as np -import pandas as pd - -import metrics.summary as summary_mod -from metrics.aggregate import ( - summarize_across_seeds, - write_csv_atomic, - write_json_atomic, -) -from metrics.bac import BacResult, compute_bac, plot_bac -from metrics.costpower import ( - CostPowerResult, - compute_cost_power, - plot_cost_power, -) -from metrics.iterops import IterOpsResult, compute_iter_ops -from metrics.latency import LatencyResult, compute_latency_stretch, plot_latency -from metrics.matrixdump import compute_pair_matrices -from metrics.msd import AlphaResult, compute_alpha_star -from metrics.sps import SpsResult, compute_sps - - -# Local helpers -def _safe_float(x: object) -> float: - try: - return float(x) # type: ignore[arg-type] - except Exception: - return float("nan") - - -# ---- Global plotting defaults ---- -plt.rcParams["figure.dpi"] = 300 -plt.rcParams["savefig.dpi"] = 300 -plt.rcParams["figure.figsize"] = (8.0, 5.0) -plt.rcParams["savefig.bbox"] = "tight" -plt.rcParams["axes.titlesize"] = 13 -plt.rcParams["axes.labelsize"] = 11 -plt.rcParams["legend.fontsize"] = 10 -plt.rcParams["xtick.labelsize"] = 9 -plt.rcParams["ytick.labelsize"] = 9 - - -# --------- discovery & grouping helpers --------- - -SEED_STEM_RE = re.compile(r"^(?P.+)__seed(?P\d+)_scenario$") - - -def load_json(path: Path) -> dict: - with path.open("r", encoding="utf-8") as f: - return json.load(f) - - -def find_results_files(root: Path) -> List[Path]: - return sorted(root.rglob("*.results.json")) - - -def parse_seeded_stem(stem: str) -> Tuple[str, Optional[int]]: - m = SEED_STEM_RE.match(stem) - if not m: - return stem, None - return m.group("stem"), int(m.group("seed")) - - -def group_by_scenario(files: List[Path]) -> Dict[str, Dict[int, Path]]: - grouped: Dict[str, Dict[int, Path]] = {} - for p in files: - s = p.stem - if s.endswith(".results"): - s = s[:-8] - scenario_stem, seed = parse_seeded_stem(s) - if seed is None: - data = load_json(p) - seed_val = data.get("scenario", {}).get("seed") - if seed_val is None: - raise ValueError(f"Missing 'scenario.seed' in results file: {p}") - try: - seed = int(seed_val) - except Exception as e: - raise ValueError( - f"Non-integer 'scenario.seed' in results file {p}: {seed_val}" - ) from e - grouped.setdefault(scenario_stem, {})[seed] = p - return grouped - - -# --------- main orchestration --------- - - -@dataclass -class ScenarioOutputs: - alpha: Dict[int, AlphaResult] = field(default_factory=dict) - bac_place: Dict[int, BacResult] = field(default_factory=dict) - bac_maxflow: Dict[int, BacResult] = field(default_factory=dict) - latency: Dict[int, LatencyResult] = field(default_factory=dict) - costpower: Dict[int, CostPowerResult] = field(default_factory=dict) - sps: Dict[int, SpsResult] = field(default_factory=dict) - iterops: Dict[int, IterOpsResult] = field(default_factory=dict) - - -def analyze_one_seed( - results: dict, out_dir: Path, do_plots: bool -) -> Tuple[ - AlphaResult, - BacResult, - Optional[BacResult], - LatencyResult, - CostPowerResult, - IterOpsResult, - Optional[SpsResult], -]: - def _require_steps(res: dict, require_maxflow: bool) -> None: - steps = res.get("steps", {}) - required = ["msd_baseline", "tm_placement"] + ( - ["node_to_node_capacity_matrix"] if require_maxflow else [] - ) - for step in required: - if step not in steps: - raise ValueError(f"Missing required step in results: {step}") - - def _validate_alpha_and_base_demands(res: dict) -> float: - msd = res.get("steps", {}).get("msd_baseline", {}).get("data", {}) or {} - alpha_star = msd.get("alpha_star", None) - if alpha_star is None: - raise ValueError("Missing alpha_star in msd_baseline.data") - try: - alpha_star = float(alpha_star) - except Exception as e: - raise ValueError(f"alpha_star is not a number: {alpha_star}") from e - if not np.isfinite(alpha_star) or alpha_star <= 0: - raise ValueError( - f"alpha_star must be a positive finite number; got {alpha_star}" - ) - - base_demands = msd.get("base_demands", []) or [] - if not isinstance(base_demands, list) or not base_demands: - raise ValueError("msd_baseline.data.base_demands missing or empty") - - offenders_zero: List[str] = [] - offenders_neg: List[str] = [] - offenders_nan: List[str] = [] - duplicates: List[str] = [] - seen = set() - base_total = 0.0 - for rec in base_demands: - src = str(rec.get("source", "")).strip() - dst = str(rec.get("target", "")).strip() - if not src or not dst: - raise ValueError("Empty source/target in base_demands entry") - key = (src, dst, rec.get("mode", None), rec.get("priority", None)) - if key in seen: - duplicates.append(f"{src}→{dst}") - seen.add(key) - try: - dem = float(rec["volume"]) - except Exception: - dem = float("nan") - if not np.isfinite(dem): - offenders_nan.append(f"{src}→{dst}") - continue - if dem < 0.0: - offenders_neg.append(f"{src}→{dst}") - elif dem == 0.0: - offenders_zero.append(f"{src}→{dst}") - else: - base_total += dem - - if offenders_nan: - sample = ", ".join(offenders_nan[:5]) - more = ( - "" if len(offenders_nan) <= 5 else f" (+{len(offenders_nan) - 5} more)" - ) - raise ValueError( - f"Invalid traffic matrix: non-numeric demand for {len(offenders_nan)} entr" - f"{'y' if len(offenders_nan) == 1 else 'ies'}: {sample}{more}" - ) - if offenders_neg: - sample = ", ".join(offenders_neg[:5]) - more = ( - "" if len(offenders_neg) <= 5 else f" (+{len(offenders_neg) - 5} more)" - ) - raise ValueError( - f"Invalid traffic matrix: negative demand for {len(offenders_neg)} entr" - f"{'y' if len(offenders_neg) == 1 else 'ies'}: {sample}{more}" - ) - if offenders_zero: - sample = ", ".join(offenders_zero[:5]) - more = ( - "" - if len(offenders_zero) <= 5 - else f" (+{len(offenders_zero) - 5} more)" - ) - raise ValueError( - "Invalid traffic matrix: " - f"{len(offenders_zero)} zero-demand entr{'y' if len(offenders_zero) == 1 else 'ies'} detected: " - f"{sample}{more}. TM generation must not emit entries with zero demand." - ) - if duplicates: - sample = ", ".join(duplicates[:5]) - more = "" if len(duplicates) <= 5 else f" (+{len(duplicates) - 5} more)" - raise ValueError( - f"Invalid traffic matrix: duplicate entries detected for {len(duplicates)} pair" - f"{' ' if len(duplicates) == 1 else 's'}: {sample}{more}" - ) - return base_total * float(alpha_star) - - def _validate_tm_placement_baseline( - res: dict, expected_total_at_alpha: Optional[float] - ) -> None: - tm_step = res.get("steps", {}).get("tm_placement", {}) or {} - tm = tm_step.get("data", {}) or {} - baseline = tm.get("baseline") - if not isinstance(baseline, dict): - raise ValueError("tm_placement.data.baseline dict required") - - flows = baseline.get("flows", []) or [] - if not isinstance(flows, list) or not flows: - raise ValueError("tm_placement baseline has no flows") - - def _is_close(a: float, b: float) -> bool: - if not (np.isfinite(a) and np.isfinite(b)): - return False - diff = abs(a - b) - return diff <= max(1e-6, 1e-3 * max(abs(a), abs(b), 1.0)) - - for rec in flows: - s = rec.get("source", "") - d = rec.get("destination", "") - if not s or not d or s == d: - raise ValueError( - "tm_placement baseline contains invalid flow endpoints" - ) - try: - dem = float(rec.get("demand", float("nan"))) - pla = float(rec.get("placed", float("nan"))) - drp = float(rec.get("dropped", float("nan"))) - except Exception as e: - raise ValueError( - "tm_placement baseline has non-numeric demand/placed/dropped" - ) from e - if not (np.isfinite(dem) and np.isfinite(pla) and np.isfinite(drp)): - raise ValueError("tm_placement baseline has NaN/Inf values") - if dem <= 0 or pla < 0 or drp < 0: - raise ValueError( - "tm_placement baseline has non-positive demand or negative placed/dropped" - ) - if not _is_close(pla + drp, dem): - raise ValueError( - "tm_placement baseline violates placed + dropped ≈ demand" - ) - - cdist = rec.get("cost_distribution", {}) or {} - if cdist: - vol_sum = 0.0 - for k, v in cdist.items(): - try: - float(k) - vv = float(v) - except Exception as e: - raise ValueError( - "tm_placement baseline has non-numeric cost_distribution" - ) from e - if vv < 0: - raise ValueError( - "tm_placement baseline has negative volume in cost_distribution" - ) - vol_sum += vv - if not _is_close(vol_sum, pla): - raise ValueError( - "tm_placement baseline cost_distribution volume sum does not equal placed" - ) - - total_dem = baseline.get("summary", {}).get("total_demand", None) - if expected_total_at_alpha is not None and total_dem is not None: - try: - td = float(total_dem) - except Exception: - td = float("nan") - if np.isfinite(td) and not _is_close(td, float(expected_total_at_alpha)): - raise ValueError( - "tm_placement baseline total_demand does not match base_demands × alpha_star" - ) - - def _validate_maxflow_baseline(res: dict) -> None: - mf_step = res.get("steps", {}).get("node_to_node_capacity_matrix", {}) or {} - mf = mf_step.get("data", {}) or {} - baseline = mf.get("baseline") - if not isinstance(baseline, dict): - raise ValueError("node_to_node_capacity_matrix.data.baseline dict required") - fr = mf.get("flow_results", []) or [] - if not isinstance(fr, list) or not fr: - raise ValueError( - "node_to_node_capacity_matrix.data.flow_results missing or empty" - ) - for it in fr: - for rec in it.get("flows", []) or []: - s = rec.get("source", "") - d = rec.get("destination", "") - if not s or not d or s == d: - continue - try: - placed = float(rec.get("placed", 0.0)) - except Exception as e: - raise ValueError( - "maxflow results contain non-numeric placed value" - ) from e - if not np.isfinite(placed) or placed < 0.0: - raise ValueError( - "maxflow results contain negative or non-finite placed value" - ) - - require_maxflow = bool( - os.environ.get("NGRAPH_ENABLE_MAXFLOW", "0").strip() - not in ("", "0", "false", "False") - ) - _require_steps(results, require_maxflow) - expected_total_at_alpha = _validate_alpha_and_base_demands(results) - _validate_tm_placement_baseline(results, expected_total_at_alpha) - if require_maxflow: - _validate_maxflow_baseline(results) - - alpha = compute_alpha_star(results) - - bac_place = compute_bac(results, step_name="tm_placement", mode="auto") - bac_max = ( - compute_bac(results, step_name="node_to_node_capacity_matrix", mode="auto") - if require_maxflow - else None - ) - - latency = compute_latency_stretch(results) - iterops = compute_iter_ops(results) - - sps_res: Optional[SpsResult] = None - if require_maxflow: - sps_res = compute_sps(results) - - offered_alpha_star = None - if not np.isnan(alpha.base_total_demand) and np.isfinite(alpha.alpha_star): - offered_alpha_star = float(alpha.base_total_demand * alpha.alpha_star) - reliable_p999 = bac_place.bw_at_probability_abs.get(99.9, np.nan) - costpower = compute_cost_power( - results, offered_at_alpha1=offered_alpha_star, reliable_at_p999=reliable_p999 - ) - - if do_plots: - if out_dir: - out_dir.mkdir(parents=True, exist_ok=True) - plot_bac( - bac_place, - overlay=bac_max if bac_max is not None else None, - save_to=out_dir / "bac.png", - ) - plot_latency(latency, save_to=out_dir / "latency.png") - plot_cost_power(costpower, save_to=out_dir / "costpower.png") - - return alpha, bac_place, bac_max, latency, costpower, iterops, sps_res - - -def run_metrics( - root: Path, - only: Optional[str] = None, - no_plots: bool = False, - enable_maxflow: bool = False, -) -> None: - if enable_maxflow: - os.environ["NGRAPH_ENABLE_MAXFLOW"] = "1" - out_root = root.parent / f"{root.name}_metrics" - only_set = set([s.strip() for s in only.split(",") if s.strip()]) if only else None - do_plots = not bool(no_plots) - - files = find_results_files(root) - if not files: - raise FileNotFoundError(f"No *.results.json found under {root}") - - grouped = group_by_scenario(files) - if only_set: - grouped = {k: v for k, v in grouped.items() if k in only_set} - - require_maxflow = bool( - os.environ.get("NGRAPH_ENABLE_MAXFLOW", "0").strip() - not in ("", "0", "false", "False") - ) - for scenario_stem, seed_map in grouped.items(): - print(f"\n=== Scenario: {scenario_stem} (seeds={sorted(seed_map)}) ===") - scenario_out = ScenarioOutputs() - - for seed, path in sorted(seed_map.items()): - results = load_json(path) - seed_dir = out_root / scenario_stem / f"seed{seed}" - seed_dir.mkdir(parents=True, exist_ok=True) - - alpha, bac_p, bac_m, latency, cp, itops, sps_opt = analyze_one_seed( - results, seed_dir, do_plots - ) - scenario_out.alpha[seed] = alpha - scenario_out.bac_place[seed] = bac_p - if bac_m is not None: - scenario_out.bac_maxflow[seed] = bac_m - scenario_out.latency[seed] = latency - scenario_out.costpower[seed] = cp - scenario_out.iterops[seed] = itops - - write_csv_atomic( - seed_dir / "bac_series.csv", - bac_p.series.to_frame(name="delivered"), - ) - write_json_atomic(seed_dir / "bac.json", bac_p.to_jsonable()) - write_json_atomic(seed_dir / "alpha.json", alpha.to_jsonable()) - write_json_atomic(seed_dir / "latency.json", latency.to_jsonable()) - write_json_atomic(seed_dir / "costpower.json", cp.to_jsonable()) - write_json_atomic(seed_dir / "iterops.json", itops.to_jsonable()) - if sps_opt is not None: - write_json_atomic(seed_dir / "sps.json", sps_opt.to_jsonable()) - # Export per-seed per-iteration latency (long format) with baseline deltas/ratios - try: - per_it = getattr(latency, "per_iteration", None) or {} - if per_it: - rows_pi: list[dict] = [] - base_vals = getattr(latency, "baseline", {}) or {} - for metric_key, series in per_it.items(): - if not isinstance(series, list): - continue - for idx, val in enumerate(series): - try: - v = float(val) - except Exception: - continue - if not np.isfinite(v): - continue - b_raw = base_vals.get(metric_key) - b_val = _safe_float(b_raw) - delta = v - b_val if (pd.notna(b_val)) else float("nan") - ratio = ( - (v / b_val) - if (pd.notna(b_val) and float(b_val) != 0.0) - else float("nan") - ) - drop = (b_val - v) if pd.notna(b_val) else float("nan") - rows_pi.append( - { - "metric": str(metric_key), - "iter": int(idx), - "value": float(v), - "base": float(b_val) - if pd.notna(b_val) - else float("nan"), - "delta": float(delta), - "drop": float(drop), - "ratio": float(ratio), - } - ) - if rows_pi: - df_pi = pd.DataFrame(rows_pi)[ - [ - "metric", - "iter", - "value", - "base", - "delta", - "drop", - "ratio", - ] - ] - write_csv_atomic( - seed_dir / "latency_per_iteration_long.csv", df_pi - ) - except Exception as e: - logging.warning( - "Failed to write per-iteration latency CSV for %s: %s", - seed_dir, - e, - ) - tm_abs, tm_norm, mf_abs, mf_norm = compute_pair_matrices( - results, include_maxflow=require_maxflow - ) - if not tm_abs.empty: - write_csv_atomic(seed_dir / "pairs_tm_abs.csv", tm_abs) - if not tm_norm.empty: - write_csv_atomic(seed_dir / "pairs_tm_norm.csv", tm_norm) - if mf_abs is not None and not mf_abs.empty: - write_csv_atomic(seed_dir / "pairs_mf_abs.csv", mf_abs) - if mf_norm is not None and not mf_norm.empty: - write_csv_atomic(seed_dir / "pairs_mf_norm.csv", mf_norm) - - scen_dir = out_root / scenario_stem - scen_dir.mkdir(parents=True, exist_ok=True) - - alpha_summary = summarize_across_seeds( - {k: v.alpha_star for k, v in scenario_out.alpha.items()}, label="alpha_star" - ) - write_json_atomic(scen_dir / "alpha_summary.json", alpha_summary) - - series_by_seed = { - seed: br.series for seed, br in scenario_out.bac_place.items() - } - bac_summary = summarize_across_seeds(series_by_seed, label="bac_delivered") - bac_tail = { - "p50": float( - np.nanmedian( - [ - v.quantiles_pct.get(0.50, np.nan) - for v in scenario_out.bac_place.values() - ] - ) - ), - "p90": float( - np.nanmedian( - [ - v.quantiles_pct.get(0.90, np.nan) - for v in scenario_out.bac_place.values() - ] - ) - ), - "p99": float( - np.nanmedian( - [ - v.quantiles_pct.get(0.99, np.nan) - for v in scenario_out.bac_place.values() - ] - ) - ), - "p999": float( - np.nanmedian( - [ - v.quantiles_pct.get(0.999, np.nan) - for v in scenario_out.bac_place.values() - ] - ) - ), - "p9999": float( - np.nanmedian( - [ - v.quantiles_pct.get(0.9999, np.nan) - for v in scenario_out.bac_place.values() - ] - ) - ), - "auc_norm": float( - np.nanmedian( - [v.auc_normalized for v in scenario_out.bac_place.values()] - ) - ), - } - - def _bw_med(pct: float, _scenario_out: ScenarioOutputs = scenario_out) -> float: - vals = [] - for v in _scenario_out.bac_place.values(): - raw = v.bw_at_probability_pct.get(pct) - vals.append(_safe_float(raw)) - return float(np.nanmedian(vals)) if vals else float("nan") - - bac_tail.update( - { - "bw_p90_pct": _bw_med(90.0), - "bw_p95_pct": _bw_med(95.0), - "bw_p99_pct": _bw_med(99.0), - "bw_p999_pct": _bw_med(99.9), - "bw_p9999_pct": _bw_med(99.99), - } - ) - write_json_atomic( - scen_dir / "bac_summary.json", {"per_seed": bac_summary, "tail": bac_tail} - ) - - pooled_samples: list[float] = [] - per_seed_samples: dict[int, list[float]] = {} - for seed, br in scenario_out.bac_place.items(): - offered = float(br.offered) - s = np.asarray(br.series.astype(float).values, dtype=float) - if np.isfinite(offered) and offered > 0.0 and s.size > 0: - norm = np.minimum(s / offered, 1.0) * 100.0 - vals = [float(x) for x in norm if np.isfinite(x)] - if vals: - pooled_samples.extend(vals) - per_seed_samples[seed] = vals - - pooled_tail = {} - grid = np.linspace(0.0, 100.0, 401) - pooled_grid_x = [] - pooled_grid_a = [] - iqr_q25 = [] - iqr_q75 = [] - if pooled_samples: - xs = np.sort(np.asarray(pooled_samples, dtype=float)) - cdf = np.arange(1, xs.size + 1, dtype=float) / float(xs.size) - avail = 1.0 - cdf - pooled_grid_x = xs.tolist() - pooled_grid_a = avail.tolist() - for p in (90.0, 95.0, 99.0, 99.9, 99.99): - q = max(0.0, 1.0 - (p / 100.0)) - thr = float(np.quantile(xs, q, method="lower")) - pooled_tail[f"bw_p{str(p).rstrip('0').rstrip('.')}__pct"] = thr / 100.0 - pooled_tail["auc_norm"] = float(np.mean(xs / 100.0)) - - if len(per_seed_samples) >= 3: - mat = [] - for vals in per_seed_samples.values(): - sv = np.sort(np.asarray(vals, dtype=float)) - cdf_s = np.arange(1, sv.size + 1, dtype=float) / float(sv.size) - a_s = 1.0 - cdf_s - a_on_grid = np.interp(grid, sv, a_s, left=a_s[0], right=a_s[-1]) - mat.append(a_on_grid) - mat = np.asarray(mat, dtype=float) - iqr_q25 = np.nanpercentile(mat, 25, axis=0).tolist() - iqr_q75 = np.nanpercentile(mat, 75, axis=0).tolist() - - pooled_payload = { - "pooled_tail": pooled_tail, - "pooled_grid": {"x_pct": pooled_grid_x, "availability": pooled_grid_a}, - } - if iqr_q25 and iqr_q75: - pooled_payload["pooled_iqr"] = { - "x_pct": grid.tolist(), - "a_q25": iqr_q25, - "a_q75": iqr_q75, - } - path = scen_dir / "bac_summary.json" - cur = json.loads(path.read_text(encoding="utf-8")) if path.exists() else {} - cur.update(pooled_payload) - write_json_atomic(path, cur) - - rows = [] - for seed, s in scenario_out.latency.items(): - b = s.baseline or {} - f = s.failures or {} - d = s.derived or {} - rows.append( - { - "seed": seed, - "base_p50": _safe_float(b.get("p50")), - "fail_p99": _safe_float(f.get("p99")), - "TD99": _safe_float(d.get("TD99")), - "SLO_1_2_drop": _safe_float(d.get("SLO_1_2_drop")), - "best_path_share_drop": _safe_float(d.get("best_path_share_drop")), - "WES_delta": _safe_float(d.get("WES_delta")), - } - ) - if rows: - lat_sum = pd.DataFrame(rows).set_index("seed").sort_index() - write_csv_atomic(scen_dir / "latency_summary.csv", lat_sum) - - # Persist scenario-level pooled latency exceedance (p95 and p99) - try: - - def _availability_curve( - samples: np.ndarray, - ) -> tuple[np.ndarray, np.ndarray]: - xs = np.asarray(samples, dtype=float) - xs = xs[np.isfinite(xs)] - if xs.size == 0: - return np.array([], dtype=float), np.array([], dtype=float) - xs_sorted = np.sort(xs) - cdf = np.arange(1, xs_sorted.size + 1, dtype=float) / float( - xs_sorted.size - ) - avail = 1.0 - cdf - return xs_sorted, avail - - for metric in ("p95", "p99"): - pooled: list[float] = [] - seed_curves: list[np.ndarray] = [] - grid = np.linspace(1.0, 5.0, 401) - for _seed, s in sorted(scenario_out.latency.items()): - per_it = getattr(s, "per_iteration", None) or {} - series = per_it.get(metric) - if not isinstance(series, list) or not series: - continue - vals: list[float] = [] - for v in series: - try: - vv = float(v) - except Exception: - continue - if np.isfinite(vv): - vals.append(vv) - if not vals: - continue - pooled.extend(vals) - xs, a = _availability_curve(np.asarray(vals, dtype=float)) - if xs.size > 0 and a.size > 0: - agrid = np.interp(grid, xs, a, left=a[0], right=a[-1]) - seed_curves.append(agrid) - - if not pooled: - continue - - x_sorted, a_sorted = _availability_curve( - np.asarray(pooled, dtype=float) - ) - if x_sorted.size > 0 and a_sorted.size > 0: - df_exc = pd.DataFrame( - { - "x": x_sorted.astype(float), - "availability": a_sorted.astype(float), - } - ) - write_csv_atomic( - scen_dir / f"latency_pooled_exceedance_{metric}.csv", df_exc - ) - - if len(seed_curves) >= 3: - mat = np.vstack(seed_curves) - q25 = np.nanpercentile(mat, 25, axis=0) - q75 = np.nanpercentile(mat, 75, axis=0) - df_iqr = pd.DataFrame( - { - "x": grid.astype(float), - "a_q25": q25.astype(float), - "a_q75": q75.astype(float), - } - ) - write_csv_atomic( - scen_dir / f"latency_pooled_iqr_{metric}.csv", df_iqr - ) - except Exception as e: - logging.warning( - "Failed to write pooled latency exceedance CSVs for %s: %s", - scen_dir, - e, - ) - - io_rows = [] - for seed, it in scenario_out.iterops.items(): - ser = it.flat_series() - rec: Dict[str, float] = {"seed": float(seed)} - for k, v in ser.items(): - rec[str(k)] = float(v) if pd.notna(v) else float("nan") - io_rows.append(rec) - if io_rows: - io_df = pd.DataFrame(io_rows).set_index("seed").sort_index() - write_csv_atomic(scen_dir / "iterops_summary.csv", io_df) - - ns_rows = [] - for seed, path in sorted(seed_map.items()): - res2 = load_json(path) - ns = res2.get("steps", {}).get("network_statistics", {}).get("data", {}) - if not ns: - raise ValueError(f"Missing network_statistics.data in {path}") - if ns.get("node_count") is None or ns.get("link_count") is None: - raise ValueError( - f"Incomplete network_statistics (node/link counts) in {path}" - ) - ns_rows.append( - { - "seed": seed, - "node_count": int(ns.get("node_count")), - "link_count": int(ns.get("link_count")), - } - ) - ns_df = pd.DataFrame(ns_rows).set_index("seed").sort_index() - write_csv_atomic(scen_dir / "network_stats_summary.csv", ns_df) - - provenance = { - "generated_at": datetime.now(timezone.utc).isoformat(), - "python": sys.version, - "platform": platform.platform(), - "scenarios_root": os.path.relpath(root, start=Path.cwd()), - "output_root": os.path.relpath(out_root, start=Path.cwd()), - } - try: - commit = ( - subprocess.check_output( - ["git", "rev-parse", "HEAD"], stderr=subprocess.DEVNULL - ) - .decode("utf-8") - .strip() - ) - provenance["git_commit"] = commit - except Exception as e: - logging.warning("Failed to retrieve git commit: %s", e) - provenance["git_commit_error"] = str(e) - write_json_atomic(scen_dir / "provenance.json", provenance) - - cp_df = pd.DataFrame( - { - seed: scenario_out.costpower[seed].flat_series() - for seed in sorted(scenario_out.costpower) - } - ).T - write_csv_atomic(scen_dir / "costpower_summary.csv", cp_df) - - # Scenario-level (inter-seed) figures saved inside each scenario folder - if do_plots: - from metrics.plot_cross_seed_bac import ( - plot_cross_seed_bac as _plot_cross_seed_bac, - ) - from metrics.plot_cross_seed_iterops import ( - plot_cross_seed_iterops as _plot_cross_seed_iterops, - ) - from metrics.plot_cross_seed_latency import ( - plot_cross_seed_latency as _plot_cross_seed_latency, - ) - - # Cross-seed BAC for this scenario - scen_bac_png = scen_dir / "BAC.png" - res_bac = _plot_cross_seed_bac( - out_root, only=[scenario_stem], save_to=scen_bac_png - ) - if res_bac is None: - raise ValueError( - f"No BAC data found to plot for scenario '{scenario_stem}'" - ) - - # Cross-seed latency exceedance (p99) for this scenario - scen_lat_png = scen_dir / "Latency_p99.png" - res_lat = _plot_cross_seed_latency( - out_root, metric="p99", only=[scenario_stem], save_to=scen_lat_png - ) - if res_lat is None: - raise ValueError( - f"No latency data found to plot for scenario '{scenario_stem}'" - ) - - # Cross-seed iterops summary for this scenario (single-scenario bars) - scen_iterops_png = scen_dir / "IterationOps.png" - res_iter = _plot_cross_seed_iterops( - out_root, only=[scenario_stem], save_to=scen_iterops_png - ) - if res_iter is None: - raise ValueError( - f"No iterops data found to plot for scenario '{scenario_stem}'" - ) - - # Build project-level tables, write CSVs, then print summary by reading those CSVs - df = summary_mod.build_project_summary_table(out_root) - if df.empty: - print("(no scenarios summarized)") - return - project_csv = out_root / "project.csv" - write_csv_atomic(project_csv, df.reset_index()) - base_df = summary_mod.build_baseline_normalized_table(out_root) - if not base_df.empty: - write_csv_atomic( - (out_root / "project_baseline_normalized.csv"), - base_df.reset_index(), - ) - # Also persist baseline-normalized insights (mean, n, p per metric) - summary_mod.write_normalized_insights_csv(out_root) - # And per-seed normalized values for distribution plots - summary_mod.write_normalized_per_seed_csv(out_root) - # Per-seed absolute values for distribution plots - summary_mod.write_project_per_seed_abs_csv(out_root) - - # Print from CSVs to standardize output regardless of invocation - summary_txt = out_root / "summary.txt" - buf = io.StringIO() - with redirect_stdout(buf): - import pandas as _pd - - df_proj = _pd.read_csv(project_csv).set_index("scenario") - summary_mod.print_pretty_table(df_proj, title="Consolidated project metrics") - print("\n\n") - base_csv = out_root / "project_baseline_normalized.csv" - if base_csv.exists(): - df_norm = _pd.read_csv(base_csv).set_index("scenario") - summary_mod.print_pretty_table( - df_norm, - title="Baseline-normalized metrics (scenario / baseline)", - ) - print("\n\n") - # Baseline-normalized paired comparisons vs target (means with n and p) - summary_mod._print_normalized_insights(out_root) - # Ensure CSV is written for machine consumption - summary_mod.write_normalized_insights_csv(out_root) - print("\n\n") - text = buf.getvalue() - summary_txt.write_text(text, encoding="utf-8") - print(f"Wrote text summary: {summary_txt}") - print(text, end="") - print(f"Wrote project CSV: {project_csv}") - - # Record inputs and analysis settings. - metrics_provenance = _create_metrics_provenance(root, out_root, files, only) - - # Add scenarios and seeds analyzed - for scenario_stem, seed_map in grouped.items(): - metrics_provenance["scenarios_analyzed"].append(scenario_stem) - metrics_provenance["seeds_analyzed"][scenario_stem] = sorted(seed_map.keys()) - - provenance_path = out_root / "provenance.json" - write_json_atomic(provenance_path, metrics_provenance) - print(f"📋 Metrics provenance saved to: {provenance_path}") - - -def print_summary_from_csv( - root: Path, plots: bool = False, quiet: bool = False -) -> None: - out_root = root.parent / f"{root.name}_metrics" - project_csv = out_root / "project.csv" - norm_csv = out_root / "project_baseline_normalized.csv" - if not project_csv.exists(): - raise FileNotFoundError( - f"Missing {project_csv}; run 'netlab metrics {root}' first" - ) - import pandas as _pd - - if not quiet: - df_proj = _pd.read_csv(project_csv).set_index("scenario") - summary_mod.print_pretty_table(df_proj, title="Consolidated project metrics") - print("\n\n") - if norm_csv.exists(): - df_norm = _pd.read_csv(norm_csv).set_index("scenario") - summary_mod.print_pretty_table( - df_norm, title="Baseline-normalized metrics (scenario / baseline)" - ) - print("\n\n") - # Baseline-normalized paired comparisons vs target (means with n and p) - summary_mod._print_normalized_insights(out_root) - else: - raise FileNotFoundError(f"Missing normalized table: {norm_csv}") - - # Baseline-normalized t-tests are printed above; project-level A vs B tests are available via CLI 'test'. - - # Cross-seed figures - if plots: - # Prefer cross-seed pooled BAC overlay for the summary figure - from metrics.plot_bac_delta_vs_baseline import ( - plot_bac_delta_vs_baseline as _plot_bac_delta_vs_baseline, - ) - from metrics.plot_cross_seed_bac import ( - plot_cross_seed_bac as _plot_cross_seed_bac, - ) - from metrics.plot_cross_seed_iterops import ( - plot_cross_seed_iterops as _plot_cross_seed_iterops, - ) - from metrics.plot_cross_seed_latency import ( - plot_cross_seed_latency as _plot_cross_seed_latency, - ) - from metrics.plot_significance_heatmap import ( - plot_significance_heatmap as _plot_significance_heatmap, - ) - - fig_dir = out_root - fig_dir.mkdir(parents=True, exist_ok=True) - - # BAC figure (PNG) - out_bac_png = fig_dir / "BAC.png" - bac_path = _plot_cross_seed_bac(out_root, save_to=out_bac_png) - if bac_path is None: - raise ValueError("No BAC data found to plot") - print(f"Saved BAC summary figure: {bac_path}") - - # Latency exceedance figure (p99; PNG) - out_lat_png = fig_dir / "Latency_p99.png" - lat_path = _plot_cross_seed_latency(out_root, metric="p99", save_to=out_lat_png) - if lat_path is None: - raise ValueError("No latency data found to plot") - print(f"Saved latency summary figure: {lat_path}") - - # Iteration operations figure (multi-panel) - out_iterops_png = fig_dir / "IterationOps.png" - iterops_path = _plot_cross_seed_iterops(out_root, save_to=out_iterops_png) - if iterops_path is None: - raise ValueError("No iterops data found to plot") - print(f"Saved iteration-ops figure: {iterops_path}") - - # BAC Δ-availability vs baseline (80–100%) with top-left legend - out_delta_png = fig_dir / "BAC_delta_vs_baseline.png" - delta_path = _plot_bac_delta_vs_baseline( - out_root, - baseline="baseline_SingleRouter", - grid_min=80.0, - grid_max=100.0, - legend_loc="upper left", - save_to=out_delta_png, - ) - if delta_path is None: - raise ValueError("No data to plot for BAC Δ-availability") - print(f"Saved BAC Δ-availability figure: {delta_path}") - - # Significance heatmap (normalized effects with p<0.05 markers) - out_heatmap_png = fig_dir / "effects_heatmap.png" - heatmap_path = _plot_significance_heatmap(out_root, save_to=out_heatmap_png) - if heatmap_path is None: - print("(no insights to plot for significance heatmap)") - else: - print(f"Saved effects heatmap: {heatmap_path}") - - # Project-level distribution plots for key scalar metrics - # Load project-level tables from CSVs for uniformity - import pandas as _pd - - df_proj = _pd.read_csv(project_csv).set_index("scenario") - - def _plot_dist_abs(column: str, title: str, ylabel: str, fname: str) -> None: - if df_proj.empty or column not in df_proj.columns: - return - import seaborn as sns - - plt.figure(figsize=(8.5, 5.2)) - # Per-seed absolute CSV - per_seed_csv = out_root / "project_per_seed_abs.csv" - if not per_seed_csv.exists(): - return - df_ps = _pd.read_csv(per_seed_csv) - if column not in df_proj.columns: - return - # Determine ordered scenarios from aggregate medians - data = ( - df_proj[[column]] - .copy() - .reset_index() - .rename(columns={"index": "scenario"}) - ) - data = data.sort_values(by=column, ascending=False) - order = data["scenario"].tolist() - # Build jitter points from per-seed values if present - # Map column names in per-seed CSV - col_map = { - "bac_auc": "auc_norm", - "bw_p99": "bw_p99_pct", - "lat_fail_p99": "lat_fail_p99", - "USD_per_Gbit_offered": "USD_per_Gbit_offered", - "USD_per_Gbit_p999": "USD_per_Gbit_p999", - "Watt_per_Gbit_offered": "Watt_per_Gbit_offered", - "Watt_per_Gbit_p999": "Watt_per_Gbit_p999", - "capex_total": "capex_total", - "node_count": "node_count", - "link_count": "link_count", - } - ps_col = col_map.get(column, column) - if ps_col in df_ps.columns: - sns.stripplot( - data=df_ps, - x="scenario", - y=ps_col, - order=order, - jitter=0.25, - alpha=0.35, - color="gray", - ) - # Overlay median point dots in the same order - sns.pointplot( - data=data, - x="scenario", - y=column, - order=order, - linestyle="none", - color="C0", - errorbar=None, - ) - plt.title(title) - plt.ylabel(ylabel) - plt.xlabel("scenario") - plt.grid(True, linestyle=":", linewidth=0.5, axis="y") - plt.xticks(rotation=20, ha="right") - outp = fig_dir / fname - plt.tight_layout() - plt.savefig(outp) - plt.close() - print(f"Saved project metric figure: {outp}") - - def _plot_dist_norm(column: str, title: str, ylabel: str, fname: str) -> None: - base_df_local = ( - _pd.read_csv(norm_csv).set_index("scenario") - if norm_csv.exists() - else None - ) - if ( - base_df_local is None - or base_df_local.empty - or column not in base_df_local.columns - ): - return - import seaborn as sns - - plt.figure(figsize=(8.5, 5.2)) - per_seed_norm_csv = out_root / "project_baseline_normalized_per_seed.csv" - if not per_seed_norm_csv.exists(): - return - df_psn = _pd.read_csv(per_seed_norm_csv) - # Determine ordered scenarios from normalized medians - data = ( - base_df_local[[column]] - .copy() - .reset_index() - .rename(columns={"index": "scenario"}) - ) - data = data.sort_values(by=column, ascending=False) - order = data["scenario"].tolist() - # Jitter per-seed normalized values - if column in df_psn.columns: - sns.stripplot( - data=df_psn, - x="scenario", - y=column, - order=order, - jitter=0.25, - alpha=0.35, - color="gray", - ) - # Overlay scenario median in the same order - sns.pointplot( - data=data, - x="scenario", - y=column, - order=order, - linestyle="none", - color="C0", - errorbar=None, - ) - # Reference line - ref = ( - 1.0 - if column.endswith("_r") - or column - in ( - "node_count_r", - "link_count_r", - ) - else 0.0 - ) - plt.axhline(ref, color="black", linestyle="--", linewidth=0.8, alpha=0.6) - plt.title(title) - plt.ylabel(ylabel) - plt.xlabel("scenario") - plt.grid(True, linestyle=":", linewidth=0.5, axis="y") - plt.xticks(rotation=20, ha="right") - outp = fig_dir / fname - plt.tight_layout() - plt.savefig(outp) - plt.close() - print(f"Saved project metric figure: {outp}") - - # Absolute plots (prefixed with abs_) - _plot_dist_abs("node_count", "Node count", "nodes", "abs_nodes.png") - _plot_dist_abs("link_count", "Link count", "links", "abs_links.png") - _plot_dist_abs( - "bac_auc", - title="BAC AUC (median across seeds)", - ylabel="AUC (0..1)", - fname="abs_AUC.png", - ) - _plot_dist_abs( - "bw_p90", - title="Bandwidth at 90% (ratio to offered)", - ylabel="ratio", - fname="abs_BW_p90.png", - ) - _plot_dist_abs( - "bw_p95", - title="Bandwidth at 95% (ratio to offered)", - ylabel="ratio", - fname="abs_BW_p95.png", - ) - _plot_dist_abs( - "bw_p99", - title="Bandwidth at 99% (ratio to offered)", - ylabel="ratio", - fname="abs_BW_p99.png", - ) - _plot_dist_abs( - "USD_per_Gbit_offered", - title="Cost per Gbps (offered)", - ylabel="USD/Gbps", - fname="abs_USD_per_Gbit_offered.png", - ) - _plot_dist_abs( - "USD_per_Gbit_p999", - title="Cost per Gbps at p99.9", - ylabel="USD/Gbps", - fname="abs_USD_per_Gbit_p999.png", - ) - _plot_dist_abs( - "Watt_per_Gbit_offered", - title="Power per Gbps (offered)", - ylabel="W/Gbps", - fname="abs_Watt_per_Gbit_offered.png", - ) - _plot_dist_abs( - "Watt_per_Gbit_p999", - title="Power per Gbps at p99.9", - ylabel="W/Gbps", - fname="abs_Watt_per_Gbit_p999.png", - ) - _plot_dist_abs( - "lat_fail_p99", - title="Latency p99 under failures (median across seeds)", - ylabel="stretch (×)", - fname="abs_Latency_fail_p99.png", - ) - _plot_dist_abs( - "capex_total", - title="Total CapEx", - ylabel="USD", - fname="abs_CapEx.png", - ) - - # Normalized plots vs baseline (prefixed with norm_) - _plot_dist_norm( - "node_count_r", - "Nodes (relative to baseline)", - "ratio", - "norm_nodes.png", - ) - _plot_dist_norm( - "link_count_r", - "Links (relative to baseline)", - "ratio", - "norm_links.png", - ) - _plot_dist_norm("auc_norm_r", "BAC AUC (relative)", "ratio", "norm_AUC.png") - _plot_dist_norm("bw_p90_pct_r", "BW@90% (relative)", "ratio", "norm_BW_p90.png") - _plot_dist_norm("bw_p95_pct_r", "BW@95% (relative)", "ratio", "norm_BW_p95.png") - _plot_dist_norm("bw_p99_pct_r", "BW@99% (relative)", "ratio", "norm_BW_p99.png") - _plot_dist_norm( - "USD_per_Gbit_offered_r", - "Cost per Gbps (offered, relative)", - "ratio", - "norm_USD_per_Gbit_offered.png", - ) - _plot_dist_norm( - "USD_per_Gbit_p999_r", - "Cost per Gbps p99.9 (relative)", - "ratio", - "norm_USD_per_Gbit_p999.png", - ) - _plot_dist_norm( - "Watt_per_Gbit_offered_r", - "Power per Gbps (offered, relative)", - "ratio", - "norm_Watt_per_Gbit_offered.png", - ) - _plot_dist_norm( - "Watt_per_Gbit_p999_r", - "Power per Gbps p99.9 (relative)", - "ratio", - "norm_Watt_per_Gbit_p999.png", - ) - _plot_dist_norm( - "lat_fail_p99_r", - "Latency p99 under failures (relative)", - "ratio", - "norm_Latency_fail_p99.png", - ) - - -def _create_metrics_provenance( - root: Path, out_root: Path, files: List[Path], only: Optional[str] = None -) -> Dict[str, Any]: - """Record source files, hashes, and settings for a metrics run.""" - cwd = Path.cwd() - provenance: Dict[str, Any] = { - "generated_at": datetime.now(timezone.utc).isoformat(), - "python": sys.version, - "platform": platform.platform(), - "command": "metrics", - "source_root": os.path.relpath(root, start=cwd), - "output_root": os.path.relpath(out_root, start=cwd), - "source_files": {}, - "scenarios_analyzed": [], - "seeds_analyzed": {}, - } - - # Get git commit if available - try: - commit = ( - subprocess.check_output( - ["git", "rev-parse", "HEAD"], stderr=subprocess.DEVNULL - ) - .decode("utf-8") - .strip() - ) - provenance["git_commit"] = commit - except Exception as e: - logging.warning("Failed to retrieve git commit: %s", e) - provenance["git_commit_error"] = str(e) - - # Add source file information with hashes - for file_path in files: - try: - file_content = file_path.read_bytes() - file_hash = hashlib.sha256(file_content).hexdigest() - rel_path = os.path.relpath(file_path, start=cwd) - provenance["source_files"][rel_path] = { - "path": rel_path, - "sha256": file_hash, - "size_bytes": len(file_content), - } - except Exception as e: - logging.warning("Failed to hash source file %s: %s", file_path, e) - rel_path = os.path.relpath(file_path, start=cwd) - provenance["source_files"][rel_path] = { - "path": rel_path, - "hash_error": str(e), - } - - # Add analysis scope information - if only: - provenance["only_scenarios"] = [s.strip() for s in only.split(",") if s.strip()] - - return provenance diff --git a/netlab/metrics_failure.py b/netlab/metrics_failure.py index 8799c06..36ac41f 100644 --- a/netlab/metrics_failure.py +++ b/netlab/metrics_failure.py @@ -6,6 +6,8 @@ from dataclasses import dataclass, field from typing import Any, Dict, List, Optional +from netlab.metrics.common import expand_flow_results, nonnegative_number + @dataclass class FailureStats: @@ -63,16 +65,7 @@ def extract_failure_ratios( results: dict, step_prefix: str = "tm_", ) -> Dict[str, List[float]]: - """ - Extract failure ratios from a results JSON. - - Args: - results: Loaded results JSON dictionary - step_prefix: Prefix for failure analysis steps (default: "tm_") - - Returns: - Dict mapping step name to list of overall_ratio values - """ + """Return occurrence-weighted failure ratios, keyed by placement step name.""" failure_ratios: Dict[str, List[float]] = {} steps = results.get("steps", {}) @@ -84,8 +77,9 @@ def extract_failure_ratios( if not flow_results: continue - # Collect ratios from all iterations - ratios = [fr["summary"]["overall_ratio"] for fr in flow_results] + ratios = [ + fr["summary"]["overall_ratio"] for fr in expand_flow_results(flow_results) + ] failure_ratios[step_name] = ratios return failure_ratios @@ -94,21 +88,16 @@ def extract_failure_ratios( def compute_failure_stats( failure_ratios: Dict[str, List[float]], ) -> Dict[str, FailureStats]: - """ - Compute statistics for each failure type. - - Args: - failure_ratios: Dict mapping step name to list of ratios - - Returns: - Dict mapping step name to FailureStats - """ + """Summarize failure ratios for each placement step.""" stats: Dict[str, FailureStats] = {} for step_name, ratios in failure_ratios.items(): if not ratios: continue + ratios = [nonnegative_number(value, "overall_ratio") for value in ratios] + if any(value > 1.0 + 1e-9 for value in ratios): + raise ValueError("overall_ratio cannot exceed one") stats[step_name] = FailureStats( step_name=step_name, iterations=len(ratios), @@ -126,16 +115,12 @@ def find_worst_failures( failure_stats: Dict[str, FailureStats], tolerance: float = 0.001, ) -> Optional[Dict[str, Any]]: - """ - Find the worst failure types (all within tolerance of minimum). - - Args: - failure_stats: Dict of failure statistics - tolerance: Tolerance for considering failures equal (default: 0.1%) + """Return all step names within ``tolerance`` of the lowest ratio. - Returns: - Dict with "types" and "min_ratio", or None if no failures + The result has ``types`` and ``min_ratio`` keys, or is None without failures. + Tolerance is an absolute ratio difference (default 0.001). """ + nonnegative_number(tolerance, "worst failure tolerance") if not failure_stats: return None @@ -157,17 +142,7 @@ def analyze_results( step_prefix: str = "tm_", worst_tolerance: float = 0.001, ) -> FailureAnalysisSummary: - """ - Perform complete failure analysis on a results JSON. - - Args: - results: Loaded results JSON dictionary - step_prefix: Prefix for failure analysis steps - worst_tolerance: Tolerance for worst failure detection - - Returns: - FailureAnalysisSummary with all statistics - """ + """Summarize failure ratios and identify the worst failure types.""" ratios = extract_failure_ratios(results, step_prefix) stats = compute_failure_stats(ratios) worst = find_worst_failures(stats, worst_tolerance) @@ -181,22 +156,12 @@ def analyze_results( def aggregate_failure_metrics( metrics_by_seed: List[Dict[str, FailureStats]], ) -> Dict[str, AggregatedFailureStats]: - """ - Aggregate failure metrics across multiple seeds. - - Args: - metrics_by_seed: List of failure stats dicts (one per seed) - - Returns: - Dict mapping step name to aggregated statistics - """ - # Collect all ratios per step + """Pool ratios across seeds for each failure step.""" all_ratios: Dict[str, List[float]] = {} for seed_metrics in metrics_by_seed: for step_name, stats in seed_metrics.items(): all_ratios.setdefault(step_name, []).extend(stats.ratios) - # Compute aggregated stats aggregated: Dict[str, AggregatedFailureStats] = {} for step_name, ratios in all_ratios.items(): if not ratios: @@ -209,38 +174,24 @@ def aggregate_failure_metrics( avg_ratio=statistics.mean(ratios), max_ratio=max(ratios), std_dev=statistics.stdev(ratios) if len(ratios) > 1 else 0, - seeds=len(metrics_by_seed), + seeds=sum(step_name in seed_metrics for seed_metrics in metrics_by_seed), ) return aggregated -def extract_alpha_star(results: dict, msd_step: str = "msd") -> Optional[float]: - """ - Extract alpha_star from MSD step results. - - Args: - results: Loaded results JSON dictionary - msd_step: Name of the MSD step (default: "msd") - - Returns: - Alpha star value, or None if not found - """ +def extract_alpha_star( + results: dict, msd_step: str = "msd_baseline" +) -> Optional[float]: + """Read alpha_star from the named MSD step; return None when absent.""" steps = results.get("steps", {}) msd_data = steps.get(msd_step, {}).get("data", {}) - return msd_data.get("alpha_star") + value = msd_data.get("alpha_star") + return nonnegative_number(value, "alpha_star") if value is not None else None def extract_network_stats(results: dict) -> Optional[Dict[str, Any]]: - """ - Extract network statistics from results. - - Args: - results: Loaded results JSON dictionary - - Returns: - Dict with node_count, link_count, total_capacity, or None - """ + """Return node count, link count, and total capacity, or None when absent.""" steps = results.get("steps", {}) net_stats = steps.get("network_statistics", {}).get("data", {}) diff --git a/netlab/pipeline.py b/netlab/pipeline.py new file mode 100644 index 0000000..cc2e85e --- /dev/null +++ b/netlab/pipeline.py @@ -0,0 +1,207 @@ +"""Batch planning and orchestration, independent of command-line parsing.""" + +from __future__ import annotations + +import math +from concurrent.futures import Future +from dataclasses import dataclass, field +from datetime import datetime, timezone +from pathlib import Path + +from .artifacts import ( + package_versions, + sha256_file, + write_json_atomic, + write_text_atomic, +) +from .simulation import SimulationBatch, SimulationResult, invalidate_results +from .tasks import TaskQueue +from .topology import build_seed_scenario, generate_graph + + +@dataclass(frozen=True) +class PipelineConfig: + masters: list[Path] + seeds: list[int] + output_dir: Path + graphs_dir: Path | None = None + build_jobs: int = 1 + run_jobs: int = 1 + build_timeout: float | None = None + run_timeout: float | None = 600 + force: bool = False + force_run: bool = False + + def __post_init__(self) -> None: + if not self.masters or not self.seeds: + raise ValueError("At least one master configuration and seed are required") + if len({p.stem for p in self.masters}) != len(self.masters): + raise ValueError("Master configuration names must be unique") + if len(set(self.seeds)) != len(self.seeds): + raise ValueError("Seeds must be unique") + if self.build_jobs < 1 or self.run_jobs < 1: + raise ValueError("Job counts must be positive") + for timeout in (self.build_timeout, self.run_timeout): + if timeout is not None and (not math.isfinite(timeout) or timeout <= 0): + raise ValueError("Timeouts must be positive or None") + + +@dataclass +class PipelineResult: + scenarios: list[Path] = field(default_factory=list) + simulations: dict[Path, SimulationResult] = field(default_factory=dict) + errors: dict[str, str] = field(default_factory=dict) + + @property + def success(self) -> bool: + return not self.errors + + +def discover_configs(path: Path) -> list[Path]: + if path.is_file() and path.suffix in {".yaml", ".yml"}: + return [path.resolve()] + if not path.is_dir(): + raise ValueError(f"Not a YAML file or configuration directory: {path}") + configs = sorted( + p.resolve() + for p in path.iterdir() + if p.suffix in {".yaml", ".yml"} and p.is_file() + ) + if not configs: + raise ValueError(f"No YAMLs under {path}") + return configs + + +def _invalidate_scenario(path: Path, *, remove_input: bool = False) -> None: + invalidate_results(path.with_suffix(".results.json")) + if remove_input: + path.unlink(missing_ok=True) + + +def _scenario_path(output: Path, master: Path, seed: int) -> Path: + name = f"{master.stem}__seed{seed}" + return output / master.stem / name / f"{name}_scenario.yml" + + +def run_pipeline(config: PipelineConfig, *, simulate: bool = True) -> PipelineResult: + """Generate graphs, assemble scenarios, optionally simulate, then record outcomes. + + Independent tasks continue after a failure. Every failed stage is included in + the returned result and provenance; the CLI can therefore return nonzero. + """ + result = PipelineResult() + output_dir = config.output_dir.resolve() + output_dir.mkdir(parents=True, exist_ok=True) + provenance = { + "generated_at": datetime.now(timezone.utc).isoformat(), + "packages": package_versions(), + "seeds": config.seeds, + "settings": { + "build_jobs": config.build_jobs, + "run_jobs": config.run_jobs, + "build_timeout": config.build_timeout, + "run_timeout": config.run_timeout, + "force": config.force, + "force_run": config.force_run, + }, + "configs": {str(p): sha256_file(p) for p in config.masters}, + "libraries": { + str(p): sha256_file(p) for p in sorted(Path("lib").glob("*.yml")) + }, + "graphs": {}, + } + graphs: dict[Path, Path] = {} + with TaskQueue(config.build_jobs) as queue: + generating: dict[Path, Future[Path]] = {} + for master in config.masters: + if config.graphs_dir is None: + generating[master] = queue.submit( + generate_graph, + master, + output_dir / master.stem, + config.force, + timeout=config.build_timeout, + ) + else: + graphs[master] = ( + config.graphs_dir.resolve() / f"{master.stem}_integrated_graph.json" + ) + for master, future in generating.items(): + try: + graphs[master] = future.result() + except Exception as exc: + result.errors[f"{master.stem}/generate"] = ( + f"{type(exc).__name__}: {exc}" + ) + for seed in config.seeds: + _invalidate_scenario( + _scenario_path(output_dir, master, seed), remove_input=True + ) + + building: dict[Path, Future[Path]] = {} + previous: dict[Path, str | None] = {} + for master, graph in graphs.items(): + try: + provenance["graphs"][str(graph)] = sha256_file(graph) + except OSError as exc: + result.errors[f"{master.stem}/graph"] = str(exc) + for seed in config.seeds: + _invalidate_scenario( + _scenario_path(output_dir, master, seed), remove_input=True + ) + continue + for seed in config.seeds: + scenario = _scenario_path(output_dir, master, seed) + previous[scenario] = ( + sha256_file(scenario) if scenario.exists() else None + ) + building[scenario] = queue.submit( + build_seed_scenario, + master, + graph, + scenario, + seed, + timeout=config.build_timeout, + ) + for scenario, future in building.items(): + try: + result.scenarios.append(future.result()) + if previous[scenario] != sha256_file(scenario): + _invalidate_scenario(scenario) + except Exception as exc: + _invalidate_scenario(scenario, remove_input=True) + result.errors[str(scenario)] = f"{type(exc).__name__}: {exc}" + + if simulate: + with TaskQueue(config.run_jobs) as queue: + batch = SimulationBatch(queue) + jobs = [ + batch.submit( + p, + timeout=config.run_timeout, + force=config.force or config.force_run, + ) + for p in result.scenarios + ] + for job in jobs: + outcome = job.result() + result.simulations[job.scenario_path] = outcome + if not outcome.success: + result.errors[str(job.scenario_path)] = outcome.error + + for master in config.masters: + rows = ["Scenario\tStatus\tError"] + for scenario, outcome in result.simulations.items(): + if scenario.parent.parent.name == master.stem: + error = outcome.error.replace("\n", " ").replace("\t", " ") + rows.append(f"{scenario}\t{outcome.status}\t{error}") + write_text_atomic( + output_dir / "_run_summaries" / f"{master.stem}.tsv", "\n".join(rows) + "\n" + ) + provenance["errors"] = result.errors + provenance["scenarios"] = {str(p): sha256_file(p) for p in result.scenarios} + provenance["results"] = { + str(p): outcome.status for p, outcome in result.simulations.items() + } + write_json_atomic(output_dir / "provenance.json", provenance) + return result diff --git a/netlab/runtime.py b/netlab/runtime.py index 52c8369..b36ed1c 100644 --- a/netlab/runtime.py +++ b/netlab/runtime.py @@ -52,21 +52,3 @@ def require_executable( f"{label} executable not found. Set it explicitly{env_hint}, " f"put '{name}' on PATH, or install it in the current Python environment." ) - - -def resolve_invoke( - name: str, - *, - explicit: str | None = None, - env_var: str | None = None, - python_module: str | None = None, -) -> list[str] | None: - """Resolve a command invocation, optionally falling back to ``sys.executable -m``.""" - resolved = resolve_executable(name, explicit=explicit, env_var=env_var) - if resolved is not None: - return [resolved] - - if python_module and sys.executable: - return [sys.executable, "-m", python_module] - - return None diff --git a/netlab/scenario.py b/netlab/scenario.py index 0b776c4..4669fe8 100644 --- a/netlab/scenario.py +++ b/netlab/scenario.py @@ -3,6 +3,7 @@ from __future__ import annotations import logging +from dataclasses import dataclass from pathlib import Path from typing import Any, Callable, Dict, List, Optional @@ -11,29 +12,29 @@ logger = logging.getLogger(__name__) +@dataclass(frozen=True) class MergeSource: - """Defines a source for merging into a scenario.""" + """One YAML directory, destination section, and optional selection rule.""" - def __init__( - self, - path: Path, - target_key: str, - source_key: Optional[str] = None, - filter_fn: Optional[Callable[[str, Any], bool]] = None, - ): - """ - Args: - path: Directory containing YAML files to merge - target_key: Key in scenario where merged data goes (e.g., "failures") - source_key: Key to extract from each YAML file (e.g., "demands"). - If None, merges all top-level keys that pass filter_fn. - filter_fn: Optional filter function (key, value) -> bool. - Only items passing filter are merged. - """ - self.path = path - self.target_key = target_key - self.source_key = source_key - self.filter_fn = filter_fn + path: Path + target_key: str + source_key: str | None = None + filter_fn: Callable[[str, Any], bool] | None = None + + +def _yaml_files(path: Path) -> list[Path]: + if not path.is_dir(): + raise FileNotFoundError(f"Configuration directory does not exist: {path}") + return sorted( + p for p in path.iterdir() if p.is_file() and p.suffix in {".yml", ".yaml"} + ) + + +def _load_mapping(path: Path) -> dict: + data = yaml.safe_load(path.read_text(encoding="utf-8")) + if not isinstance(data, dict): + raise ValueError(f"Expected YAML mapping: {path}") + return data class ScenarioMerger: @@ -51,14 +52,7 @@ def __init__( root: Path, shared_dir: Optional[Path] = None, ): - """ - Initialize the scenario merger. - - Args: - root: Root directory of the experiment - shared_dir: Optional directory with shared configs (e.g., components) - Defaults to root.parent / "_shared" - """ + """Use shared configs from ``shared_dir``, defaulting to root.parent / "_shared".""" self.root = Path(root) self.shared_dir = ( Path(shared_dir) if shared_dir else self.root.parent / "_shared" @@ -73,34 +67,16 @@ def add_source( source_key: Optional[str] = None, filter_fn: Optional[Callable[[str, Any], bool]] = None, ) -> "ScenarioMerger": - """ - Add a merge source. - - Args: - path: Directory containing YAML files to merge - target_key: Key in scenario where merged data goes - source_key: Key to extract from each YAML file (if None, merges filtered items) - filter_fn: Optional filter for items when source_key is None + """Register a YAML directory to merge into ``target_key``; return self. - Returns: - self for chaining + Extract ``source_key`` from each file when set. Otherwise, merge top-level + items accepted by ``filter_fn`` (all items when no filter is supplied). """ self.sources.append(MergeSource(path, target_key, source_key, filter_fn)) return self def add_workflow_source(self, path: Path) -> "ScenarioMerger": - """ - Add a directory containing workflow definitions. - - Workflows are loaded and used to resolve string workflow references - in the scenario. - - Args: - path: Directory containing workflow YAML files - - Returns: - self for chaining - """ + """Register workflow definitions used to resolve named references; return self.""" self.workflow_sources.append(Path(path)) return self @@ -109,31 +85,16 @@ def merge( scenario_path: Path, seed: Optional[int] = None, ) -> dict: - """ - Merge all sources into a complete scenario. - - Args: - scenario_path: Path to the base scenario YAML file - seed: Optional random seed to inject into the scenario + """Merge configured sources into the base scenario and optionally set its seed.""" + scenario = _load_mapping(scenario_path) - Returns: - Complete merged scenario dictionary - """ - # Load base scenario - with open(scenario_path) as f: - scenario = yaml.safe_load(f) or {} - - # Merge shared components self._merge_components(scenario) - # Merge all configured sources for source in self.sources: self._merge_source(scenario, source) - # Resolve workflow references self._resolve_workflows(scenario) - # Inject seed if provided if seed is not None: scenario["seed"] = seed @@ -143,24 +104,17 @@ def _merge_components(self, scenario: dict) -> None: """Merge components from shared directory.""" components_path = self.shared_dir / "components.yml" if components_path.exists(): - with open(components_path) as f: - components = yaml.safe_load(f) or {} + components = _load_mapping(components_path) if "components" in components: scenario.setdefault("components", {}).update(components["components"]) logger.debug("Merged components from %s", components_path) def _merge_source(self, scenario: dict, source: MergeSource) -> None: """Merge a single source into the scenario.""" - if not source.path.exists(): - logger.debug("Source path does not exist: %s", source.path) - return - - for yaml_file in sorted(source.path.glob("*.yml")): - with open(yaml_file) as f: - data = yaml.safe_load(f) or {} + for yaml_file in _yaml_files(source.path): + data = _load_mapping(yaml_file) if source.source_key: - # Extract specific key from the file if source.source_key in data: scenario.setdefault(source.target_key, {}).update( data[source.source_key] @@ -172,7 +126,6 @@ def _merge_source(self, scenario: dict, source: MergeSource) -> None: source.target_key, ) else: - # Merge all items that pass the filter for key, value in data.items(): if source.filter_fn is None or source.filter_fn(key, value): scenario.setdefault(source.target_key, {})[key] = value @@ -185,18 +138,13 @@ def _merge_source(self, scenario: dict, source: MergeSource) -> None: def _resolve_workflows(self, scenario: dict) -> None: """Resolve workflow string references to actual workflow definitions.""" - # Load all workflow definitions all_workflows: Dict[str, Any] = {} for workflow_dir in self.workflow_sources: - if not workflow_dir.exists(): - continue - for workflow_file in sorted(workflow_dir.glob("*.yml")): - with open(workflow_file) as f: - workflow_config = yaml.safe_load(f) or {} + for workflow_file in _yaml_files(workflow_dir): + workflow_config = _load_mapping(workflow_file) if "workflows" in workflow_config: all_workflows.update(workflow_config["workflows"]) - # Resolve workflow reference if it's a string if "workflow" in scenario and isinstance(scenario["workflow"], str): workflow_name = scenario["workflow"] if workflow_name in all_workflows: diff --git a/netlab/simulation.py b/netlab/simulation.py new file mode 100644 index 0000000..cd81ee8 --- /dev/null +++ b/netlab/simulation.py @@ -0,0 +1,211 @@ +"""NetGraph's Python API, shared by batch experiments and research loops.""" + +from __future__ import annotations + +import json +import math +import time +from concurrent.futures import Future +from dataclasses import asdict, dataclass, field +from pathlib import Path +from typing import Any, Literal + +from ngraph.scenario import Scenario + +from .artifacts import ( + cache_matches, + cache_path, + fingerprint, + package_versions, + record_cache, + write_json_atomic, +) +from .tasks import TaskQueue + + +@dataclass(frozen=True) +class Inspection: + node_count: int + link_count: int + risk_groups: list[str] + demand_count: int + workflow_steps: int + + @classmethod + def from_scenario(cls, scenario: Scenario) -> Inspection: + return cls( + node_count=len(scenario.network.nodes), + link_count=len(scenario.network.links), + risk_groups=sorted(scenario.network.risk_groups), + demand_count=sum( + len(demands) for demands in scenario.demand_set.sets.values() + ), + workflow_steps=len(scenario.workflow), + ) + + def summary(self) -> str: + return ", ".join(f"{key}={value}" for key, value in asdict(self).items()) + + +@dataclass +class SimulationResult: + status: Literal["success", "cached", "invalid", "failed", "timeout"] + inspection: Inspection | None = None + results: dict[str, Any] = field(default_factory=dict) + error: str = "" + duration_s: float = 0.0 + + @property + def success(self) -> bool: + return self.status in {"success", "cached"} + + +def inspect_scenario(yaml_text: str) -> Inspection: + """Validate and expand YAML, returning model facts without console parsing.""" + return Inspection.from_scenario(Scenario.from_yaml(yaml_text)) + + +def simulate(yaml_text: str, require_traffic: bool = False) -> SimulationResult: + """Load once and execute in the calling process. Exceptions become outcomes. + + For deadlines and isolation use ``run_simulation`` or ``SimulationBatch``. + """ + start = time.perf_counter() + inspection = None + try: + scenario = Scenario.from_yaml(yaml_text) + inspection = Inspection.from_scenario(scenario) + if require_traffic and ( + inspection.node_count < 2 + or inspection.link_count < 1 + or inspection.demand_count < 1 + or inspection.workflow_steps < 1 + ): + return SimulationResult( + "invalid", + inspection, + error="A research scenario needs at least two nodes, one link, one demand and one workflow step", + ) + scenario.run() + return SimulationResult( + "success", + inspection, + scenario.results.to_dict(), + duration_s=time.perf_counter() - start, + ) + except Exception as exc: + # This is the task boundary: errors must reach the caller, not kill a batch. + return SimulationResult( + "invalid" if inspection is None else "failed", + inspection, + error=f"{type(exc).__name__}: {exc}", + duration_s=time.perf_counter() - start, + ) + + +def invalidate_results(path: Path) -> None: + """Remove a result and its cache/outcome records before rebuilding its input.""" + for artifact in (path, cache_path(path), path.with_suffix(".run.json")): + artifact.unlink(missing_ok=True) + + +@dataclass +class SimulationJob: + scenario_path: Path + results_path: Path + cache_key: str + future: Future[SimulationResult] + + def result(self) -> SimulationResult: + try: + outcome = self.future.result() + except TimeoutError as exc: + outcome = SimulationResult("timeout", error=f"Simulation timed out: {exc}") + except Exception as exc: + outcome = SimulationResult("failed", error=f"{type(exc).__name__}: {exc}") + if outcome.status == "success": + write_json_atomic(self.results_path, outcome.results) + record_cache(self.results_path, self.cache_key) + write_json_atomic( + self.results_path.with_suffix(".run.json"), + { + "scenario": str(self.scenario_path), + "status": outcome.status, + "error": outcome.error, + "duration_s": outcome.duration_s, + "inspection": asdict(outcome.inspection) + if outcome.inspection + else None, + }, + ) + return outcome + + +class SimulationBatch: + """Submit scenarios to a queue managed by the caller.""" + + def __init__(self, queue: TaskQueue) -> None: + self.queue = queue + self.packages = package_versions() + self._destinations: set[Path] = set() + + def submit( + self, + scenario_path: Path, + *, + results_path: Path | None = None, + timeout: float | None = 600, + force: bool = False, + require_traffic: bool = False, + ) -> SimulationJob: + scenario_path = scenario_path.resolve() + results_path = ( + results_path or scenario_path.with_suffix(".results.json") + ).resolve() + if results_path == scenario_path: + raise ValueError("Scenario and result paths must differ") + if timeout is not None and (not math.isfinite(timeout) or timeout <= 0): + raise ValueError("timeout must be finite and positive or None") + if results_path in self._destinations: + raise ValueError(f"Duplicate simulation output: {results_path}") + text = scenario_path.read_text(encoding="utf-8") + self._destinations.add(results_path) + key = fingerprint( + { + "schema": 1, + "scenario": text, + "packages": self.packages, + "require_traffic": require_traffic, + } + ) + if not force and cache_matches(results_path, key): + future: Future[SimulationResult] = Future() + future.set_result( + SimulationResult("cached", results=json.loads(results_path.read_text())) + ) + else: + # A failed rerun must not leave an old result that metrics can discover. + invalidate_results(results_path) + future = self.queue.submit(simulate, text, require_traffic, timeout=timeout) + return SimulationJob(scenario_path, results_path, key, future) + + +def run_simulation( + scenario_path: Path, + *, + results_path: Path | None = None, + timeout: float | None = 600, + force: bool = False, +) -> SimulationResult: + """Execute one scenario with a deadline and publish only successful results.""" + with TaskQueue() as queue: + return ( + SimulationBatch(queue) + .submit( + scenario_path, + results_path=results_path, + timeout=timeout, + force=force, + ) + .result() + ) diff --git a/netlab/tasks.py b/netlab/tasks.py new file mode 100644 index 0000000..7b81256 --- /dev/null +++ b/netlab/tasks.py @@ -0,0 +1,58 @@ +"""Local task queue: Python callables, isolated workers, enforceable deadlines.""" + +from __future__ import annotations + +import math +import multiprocessing +from concurrent.futures import Future +from types import TracebackType +from typing import Any, Callable, TypeVar, cast + +from pebble import ProcessPool + +R = TypeVar("R") + + +class TaskQueue: + """Own a bounded process pool; failures propagate through standard futures. + + Use as a context manager. Functions and arguments must be picklable. A timeout + starts when the worker starts a task, not while it waits in the queue. + On exceptional exit, cancel queued/running work and join all workers. + """ + + def __init__(self, workers: int = 1) -> None: + if type(workers) is not int or workers < 1: + raise ValueError("workers must be positive") + self._pool = ProcessPool( + max_workers=workers, context=cast(Any, multiprocessing.get_context("spawn")) + ) + + def __enter__(self) -> TaskQueue: + return self + + def submit( + self, + function: Callable[..., R], + *args: Any, + timeout: float | None = None, + **kwargs: Any, + ) -> Future[R]: + if timeout is not None and (not math.isfinite(timeout) or timeout <= 0): + raise ValueError("timeout must be positive or None") + return cast( + Future[R], + self._pool.schedule(function, args=args, kwargs=kwargs, timeout=timeout), + ) + + def __exit__( + self, + exc_type: type[BaseException] | None, + exc: BaseException | None, + traceback: TracebackType | None, + ) -> None: + if exc_type is None: + self._pool.close() + else: + self._pool.stop() + self._pool.join() diff --git a/netlab/topology.py b/netlab/topology.py new file mode 100644 index 0000000..3c71d21 --- /dev/null +++ b/netlab/topology.py @@ -0,0 +1,87 @@ +"""TopoGen integration through its configuration, graph and scenario APIs.""" + +from __future__ import annotations + +from dataclasses import asdict +from pathlib import Path + +from topogen import build_integrated_graph, load_from_json, save_to_json +from topogen.config import TopologyConfig +from topogen.context import RunContext +from topogen.scenario import build_scenario +from topogen.validation import validate_scenario_yaml + +from .artifacts import ( + atomic_path, + cache_matches, + cache_path, + fingerprint, + package_versions, + record_cache, + sha256_file, + write_text_atomic, +) + + +def generate_graph(config_path: Path, output_dir: Path, force: bool = False) -> Path: + """Generate a corridor graph, reusing only verified inputs and output. + + Relative data paths and ``lib/`` resolve against the caller's working + directory, matching TopoGen's public API. Batch callers use isolated workers. + """ + config = TopologyConfig.from_yaml(config_path) + config.validate() + graph_path = output_dir / f"{config_path.stem}_integrated_graph.json" + key = fingerprint( + { + "schema": 1, + "config": config_path.read_text(encoding="utf-8"), + "data": { + name: sha256_file(path) + for name, path in asdict(config.data_sources).items() + }, + "packages": package_versions(), + } + ) + if not force and cache_matches(graph_path, key): + return graph_path + cache_path(graph_path).unlink(missing_ok=True) + context = RunContext(output_dir, config_path.stem) + output_dir.mkdir(parents=True, exist_ok=True) + graph = build_integrated_graph(config, context=context) + with atomic_path(graph_path) as temporary: + save_to_json( + graph, temporary, config.projection.target_crs, config.output.formatting + ) + record_cache(graph_path, key) + return graph_path + + +def build_seed_scenario( + config_path: Path, + graph_path: Path, + scenario_path: Path, + seed: int, +) -> Path: + """Assemble and validate one seeded scenario without copying graph/config files.""" + config = TopologyConfig.from_yaml(config_path) + config.output.scenario_seed = seed + graph, crs = load_from_json(graph_path) + if crs != config.projection.target_crs: + raise ValueError( + f"Graph CRS {crs} differs from configured {config.projection.target_crs}" + ) + scenario_path.parent.mkdir(parents=True, exist_ok=True) + text = build_scenario( + graph, config, context=RunContext(scenario_path.parent, config_path.stem) + ) + issues = validate_scenario_yaml( + text, + integrated_graph_path=graph_path, + hw_component_map=config.components.hw_component, + optics_map=config.components.optics, + ) + if issues: + raise ValueError("Scenario validation failed:\n" + "\n".join(issues)) + write_text_atomic(scenario_path, text) + return scenario_path diff --git a/netlab/visualize.py b/netlab/visualize.py index 369d637..5280e97 100644 --- a/netlab/visualize.py +++ b/netlab/visualize.py @@ -11,6 +11,8 @@ import networkx as nx +from netlab.artifacts import atomic_path + @dataclass class EdgeStyle: @@ -23,37 +25,7 @@ class EdgeStyle: @dataclass class StyleConfig: - """ - Visual styling configuration for graph visualization. - - Attributes: - node_radius: Radius of node circles - node_spacing: Default spacing between nodes - group_padding: Padding around group boxes - section_gap: Gap between layout sections - canvas_padding: Padding around the canvas edge - - node_colors: Maps attribute values to node colors - edge_colors: Maps attribute values to edge colors - box_colors: Maps group names to (fill, stroke) tuples - - node_color_attr: Node attribute used for coloring - edge_color_attr: Edge attribute used for coloring - - default_node_color: Default node color - default_edge_color: Default edge color - default_box_fill: Default box fill color - default_box_stroke: Default box stroke color - - edge_width: Default edge width - edge_opacity: Default edge opacity - highlighted_edge_width: Width for highlighted edges - highlighted_edge_opacity: Opacity for highlighted edges - highlight_edge_types: Set of edge types to highlight - - unconnected_node_stroke: Stroke color for unconnected nodes - unconnected_node_stroke_width: Stroke width for unconnected nodes - """ + """Node, edge, group-box, and spacing settings. Lengths use SVG coordinate units.""" # Sizing node_radius: float = 8 @@ -90,32 +62,14 @@ class StyleConfig: class GraphVisualizer(ABC): - """ - Base class for graph visualization. - - Provides: - - Reusable rendering primitives (draw_node, draw_edge, draw_box) - - SVG/PNG generation - - Configurable styling via StyleConfig - - Subclasses must implement: - - layout(): Compute node positions + """Render a NetworkX graph with subclass-defined positions. - Subclasses may override: - - get_node_color(): Custom node coloring logic - - get_edge_style(): Custom edge styling logic - - get_groups(): Define node groups for box drawing - - get_group_style(): Custom group styling logic + Implement ``layout``; override color, edge-style, and group hooks as needed. + Use ``render_svg`` for SVG and optional PNG output. """ def __init__(self, graph: nx.Graph, style: Optional[StyleConfig] = None): - """ - Initialize the visualizer. - - Args: - graph: NetworkX graph to visualize - style: Optional style configuration - """ + """Use the supplied graph and style, or the default StyleConfig.""" self.graph = graph self.style = style or StyleConfig() self.positions: Dict[str, Tuple[float, float]] = {} @@ -129,17 +83,7 @@ def from_results( style: Optional[StyleConfig] = None, build_graph_step: str = "build_graph", ) -> "GraphVisualizer": - """ - Create visualizer from ngraph results JSON. - - Args: - results_path: Path to .results.json file - style: Optional style configuration - build_graph_step: Name of BuildGraph step in results - - Returns: - GraphVisualizer instance - """ + """Load the graph exported by ``build_graph_step`` in a NetGraph result file.""" with open(results_path) as f: results = json.load(f) @@ -154,54 +98,20 @@ def from_results( return cls(graph, style) - # --- Abstract method: subclass MUST implement --- - @abstractmethod def layout(self) -> Dict[str, Tuple[float, float]]: - """ - Compute node positions. - - Must: - - Populate self.positions with {node_id: (x, y)} - - Set self.canvas_width and self.canvas_height - - Return self.positions - """ + """Set node positions and canvas dimensions; return the position mapping.""" pass - # --- Hooks: subclass MAY override --- - def get_node_color(self, node: str, attrs: dict) -> str: - """ - Get color for a node based on style config. - - Override for custom coloring logic. - - Args: - node: Node ID - attrs: Node attributes - - Returns: - Color string (hex or name) - """ + """Choose a node color from its configured attribute; override for custom rules.""" value = attrs.get(self.style.node_color_attr) if value is None: return self.style.default_node_color return self.style.node_colors.get(str(value), self.style.default_node_color) def get_edge_style(self, u: str, v: str, data: dict) -> EdgeStyle: - """ - Get style for an edge based on style config. - - Override for custom edge styling logic. - - Args: - u: Source node ID - v: Target node ID - data: Edge attributes - - Returns: - EdgeStyle instance - """ + """Choose edge color, width, and opacity from its attributes.""" edge_type = data.get(self.style.edge_color_attr) is_highlighted = edge_type in self.style.highlight_edge_types @@ -225,69 +135,32 @@ def get_edge_style(self, u: str, v: str, data: dict) -> EdgeStyle: return EdgeStyle(color=color, width=width, opacity=opacity) def get_groups(self) -> Dict[str, List[str]]: - """ - Return node groups for box drawing. - - Override to enable group box drawing. - - Returns: - Dict mapping group name to list of node IDs - """ + """Return group names and their node IDs for boxes; empty by default.""" return {} def get_group_style(self, group_name: str) -> Tuple[str, str]: - """ - Get (fill, stroke) colors for a group box. - - Override for custom group styling logic. - - Args: - group_name: Name of the group - - Returns: - Tuple of (fill_color, stroke_color) - """ + """Return a group box's (fill, stroke) colors.""" return self.style.box_colors.get( group_name, (self.style.default_box_fill, self.style.default_box_stroke) ) def get_group_label(self, group_name: str) -> Optional[str]: - """ - Get label text for a group box. - - Override to provide custom labels. - - Args: - group_name: Name of the group - - Returns: - Label string, or None for no label - """ + """Return the group label, or None to omit it.""" return group_name - # --- Rendering --- - def render_svg( self, output_path: Path, png: bool = True, png_scale: int = 2, ) -> None: - """ - Render graph to SVG (and optionally PNG). - - Args: - output_path: Output SVG path - png: Whether to also generate PNG - png_scale: Scale factor for PNG (default: 2x) - """ + """Write SVG and optionally a PNG at ``png_scale`` times the canvas size.""" if not self.positions: self.layout() svg = self._create_svg_root() self._draw_background(svg) - # Create groups for layering boxes_group = ET.SubElement(svg, "g", id="boxes") links_group = ET.SubElement(svg, "g", id="links") nodes_group = ET.SubElement(svg, "g", id="nodes") @@ -298,11 +171,9 @@ def render_svg( self._draw_all_edges(links_group) self._draw_all_nodes(nodes_group) - # Write SVG self._write_svg(svg, output_path) print(f"Generated: {output_path}") - # Generate PNG if requested if png: self._write_png(output_path, scale=png_scale) @@ -315,38 +186,23 @@ def render_svg_split( png: bool = True, png_scale: int = 2, ) -> Optional[Path]: - """ - Render split view if multiple disconnected components exist. + """Stack disconnected components and render them to SVG, with optional PNG. - Applies split_disconnected_components() before rendering. - Returns None if split wasn't applied (1 component or too many). - - Args: - output_path: Output SVG path - gap: Vertical gap between stacked components - max_components: Skip splitting if more than this many components - min_component_size: Ignore components smaller than this - png: Whether to also generate PNG - png_scale: Scale factor for PNG - - Returns: - Path to generated SVG, or None if split wasn't applied + Ignore components smaller than ``min_component_size``. Return None when + fewer than two or more than ``max_components`` eligible components remain. """ if not self.positions: self.layout() - # Apply split num_components = self.split_disconnected_components( gap=gap, max_components=max_components, min_component_size=min_component_size, ) - # If no split applied (1 component or too many), return None if num_components <= 1: return None - # Render the split view self.render_svg(output_path, png=png, png_scale=png_scale) return output_path @@ -395,14 +251,12 @@ def _draw_all_groups( ) if label: - # Add label above the box label_x = (bounds[0] + bounds[2]) / 2 label_y = bounds[1] - 6 self.draw_label(labels_group, label_x, label_y, label, stroke) def _draw_all_edges(self, parent: ET.Element) -> None: """Draw all edges, with non-highlighted first.""" - # Separate highlighted and non-highlighted edges highlighted = [] normal = [] @@ -415,15 +269,7 @@ def _draw_all_edges(self, parent: ET.Element) -> None: else: normal.append((u, v, data)) - # Draw normal edges first - for u, v, data in normal: - style = self.get_edge_style(u, v, data) - x1, y1 = self.positions[u] - x2, y2 = self.positions[v] - self.draw_edge(parent, x1, y1, x2, y2, style) - - # Draw highlighted edges on top - for u, v, data in highlighted: + for u, v, data in normal + highlighted: style = self.get_edge_style(u, v, data) x1, y1 = self.positions[u] x2, y2 = self.positions[v] @@ -435,8 +281,7 @@ def _draw_all_nodes(self, parent: ET.Element) -> None: attrs = self.graph.nodes[node] color = self.get_node_color(node, attrs) - # Check if node is connected (has any edges) - is_connected = len(list(self.graph.edges(node))) > 0 + is_connected = self.graph.degree[node] > 0 if is_connected: stroke = "white" stroke_width = 1.0 @@ -452,7 +297,8 @@ def _write_svg(self, svg: ET.Element, output_path: Path) -> None: """Write SVG to file.""" tree = ET.ElementTree(svg) ET.indent(tree, space=" ") - tree.write(output_path, encoding="unicode", xml_declaration=True) + with atomic_path(output_path) as temporary: + tree.write(temporary, encoding="unicode", xml_declaration=True) def _write_png(self, svg_path: Path, scale: int = 2) -> None: """Generate PNG from SVG.""" @@ -468,8 +314,6 @@ def _write_png(self, svg_path: Path, scale: int = 2) -> None: cairosvg.svg2png(url=str(svg_path), write_to=str(png_path), scale=scale) print(f"Generated: {png_path}") - # --- Drawing primitives --- - def draw_node( self, parent: ET.Element, @@ -480,21 +324,7 @@ def draw_node( stroke: str = "white", stroke_width: float = 1.0, ) -> ET.Element: - """ - Draw a node circle. - - Args: - parent: Parent SVG element - x: X coordinate - y: Y coordinate - color: Fill color - radius: Circle radius (default: style.node_radius) - stroke: Stroke color - stroke_width: Stroke width - - Returns: - The created circle element - """ + """Append and return a circle; default its radius to style.node_radius.""" if radius is None: radius = self.style.node_radius @@ -517,20 +347,7 @@ def draw_edge( y2: float, style: EdgeStyle, ) -> ET.Element: - """ - Draw an edge line. - - Args: - parent: Parent SVG element - x1: Start X coordinate - y1: Start Y coordinate - x2: End X coordinate - y2: End Y coordinate - style: Edge style configuration - - Returns: - The created line element - """ + """Append and return an SVG line with the supplied edge style.""" attrib = { "x1": str(x1), "y1": str(y1), @@ -554,23 +371,7 @@ def draw_box( rx: float = 6, stroke_width: float = 1, ) -> ET.Element: - """ - Draw a rounded rectangle box. - - Args: - parent: Parent SVG element - x: X coordinate - y: Y coordinate - width: Box width - height: Box height - fill: Fill color - stroke: Stroke color - rx: Corner radius - stroke_width: Stroke width - - Returns: - The created rect element - """ + """Append and return an SVG rectangle with corner radius ``rx``.""" attrib = { "x": str(x), "y": str(y), @@ -593,21 +394,7 @@ def draw_label( font_size: int = 11, font_weight: str = "500", ) -> ET.Element: - """ - Draw a text label. - - Args: - parent: Parent SVG element - x: X coordinate (center) - y: Y coordinate - text: Label text - color: Text color - font_size: Font size - font_weight: Font weight - - Returns: - The created text element - """ + """Append and return a text label centered horizontally at (x, y).""" attrib = { "x": str(x), "y": str(y), @@ -626,15 +413,9 @@ def compute_bounds( nodes: List[str], padding: Optional[float] = None, ) -> Tuple[float, float, float, float]: - """ - Compute bounding box for positioned nodes. + """Return (x_min, y_min, x_max, y_max) for positioned nodes. - Args: - nodes: List of node IDs - padding: Padding around nodes (default: node_radius + group_padding/2) - - Returns: - Tuple of (x_min, y_min, x_max, y_max) + Default padding is node_radius + group_padding / 2. """ if padding is None: padding = self.style.node_radius + self.style.group_padding / 2 @@ -658,18 +439,10 @@ def split_disconnected_components( max_components: int = 64, min_component_size: int = 2, ) -> int: - """ - Vertically stack disconnected components after semantic layout. + """Stack eligible components vertically, updating positions and canvas height. - Modifies self.positions in place and updates self.canvas_height. - - Args: - gap: Vertical gap between stacked components - max_components: Skip splitting if more than this many components - min_component_size: Ignore components smaller than this - - Returns: - Number of components found (0 if no split was applied) + Ignore components smaller than ``min_component_size``. Return the component + count (0 or 1 means no split); return 0 when the limit is exceeded. """ if not self.positions: return 0 @@ -680,19 +453,16 @@ def split_disconnected_components( else: undirected = self.graph - # Get components and filter by size all_components = list(nx.connected_components(undirected)) components = [ comp for comp in all_components if len(comp) >= min_component_size ] - # Skip if only 1 component or too many if len(components) <= 1: return len(components) if len(components) > max_components: - return 0 # Signal no split applied due to too many + return 0 - # Filter to only positioned nodes positioned_components = [] for comp in components: positioned_nodes = [n for n in comp if n in self.positions] @@ -702,7 +472,6 @@ def split_disconnected_components( if len(positioned_components) <= 1: return len(positioned_components) - # Compute bounding box for each component and sort by min-y component_bounds = [] for nodes in positioned_components: ys = [self.positions[n][1] for n in nodes] @@ -720,32 +489,29 @@ def split_disconnected_components( } ) - # Sort by min-y (top-most component first) component_bounds.sort(key=lambda c: c["min_y"]) - # Stack components vertically current_y = self.style.canvas_padding for comp_info in component_bounds: - # Calculate offset to move this component y_offset = current_y - comp_info["min_y"] + self.style.node_radius - # Apply offset to all nodes in this component for node in comp_info["nodes"]: x, y = self.positions[node] self.positions[node] = (x, y + y_offset) - # Move current_y to below this component current_y += comp_info["height"] + gap + self.style.node_radius * 2 - # Update canvas height - self.canvas_height = current_y + self.style.canvas_padding + self.canvas_height = ( + max( + current_y, + max(y for _, y in self.positions.values()) + self.style.node_radius, + ) + + self.style.canvas_padding + ) return len(positioned_components) -# --- Layout helper functions --- - - def layout_row( nodes: List[str], start_x: float, @@ -753,19 +519,7 @@ def layout_row( spacing: float, sort_key: Optional[Callable[[str], Any]] = None, ) -> Dict[str, Tuple[float, float]]: - """ - Position nodes in a horizontal row. - - Args: - nodes: List of node IDs - start_x: Starting X coordinate - y: Y coordinate for all nodes - spacing: Spacing between nodes - sort_key: Optional function to sort nodes - - Returns: - Dict mapping node ID to (x, y) position - """ + """Return node positions in a horizontal row, optionally ordered by ``sort_key``.""" if sort_key: nodes = sorted(nodes, key=sort_key) return {node: (start_x + i * spacing, y) for i, node in enumerate(nodes)} @@ -778,19 +532,7 @@ def layout_column( spacing: float, sort_key: Optional[Callable[[str], Any]] = None, ) -> Dict[str, Tuple[float, float]]: - """ - Position nodes in a vertical column. - - Args: - nodes: List of node IDs - x: X coordinate for all nodes - start_y: Starting Y coordinate - spacing: Spacing between nodes - sort_key: Optional function to sort nodes - - Returns: - Dict mapping node ID to (x, y) position - """ + """Return node positions in a vertical column, optionally ordered by ``sort_key``.""" if sort_key: nodes = sorted(nodes, key=sort_key) return {node: (x, start_y + i * spacing) for i, node in enumerate(nodes)} @@ -805,21 +547,9 @@ def layout_grid( spacing_y: float, sort_key: Optional[Callable[[str], Any]] = None, ) -> Dict[str, Tuple[float, float]]: - """ - Position nodes in a grid. - - Args: - nodes: List of node IDs - start_x: Starting X coordinate - start_y: Starting Y coordinate - cols: Number of columns - spacing_x: Horizontal spacing - spacing_y: Vertical spacing - sort_key: Optional function to sort nodes - - Returns: - Dict mapping node ID to (x, y) position - """ + """Return node positions in a grid with ``cols`` columns and the supplied spacing.""" + if cols < 1: + raise ValueError("cols must be positive") if sort_key: nodes = sorted(nodes, key=sort_key) positions = {} @@ -832,15 +562,7 @@ def layout_grid( def merge_layouts( *layouts: Dict[str, Tuple[float, float]], ) -> Dict[str, Tuple[float, float]]: - """ - Merge multiple position dictionaries. - - Args: - layouts: Position dictionaries to merge - - Returns: - Combined position dictionary - """ + """Merge position mappings; later mappings override duplicate node IDs.""" result = {} for layout in layouts: result.update(layout) diff --git a/pyproject.toml b/pyproject.toml index 4235fd1..ca5f735 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -28,7 +28,9 @@ dependencies = [ "scipy>=1.11", "rich>=13.0", "ngraph>=0.24.0", - "topogen @ git+https://github.com/networmix/TopoGen@main", + "topogen @ git+https://github.com/networmix/TopoGen@3bf0fa4aa08604a886421461f7ce36dbd7275121", + "pebble>=5.2.0,<6", + "pyyaml>=6", "cairosvg>=2.7", ] @@ -50,7 +52,7 @@ dev = [ "pandas-stubs", # pre-commit "pre-commit", - # build/publish (optional) + # Package build and validation "build", "twine", ] @@ -60,7 +62,7 @@ addopts = "--cov=./ --cov-report term-missing --benchmark-disable-gc --benchmark timeout = 30 markers = [ "benchmark: marks tests as performance benchmarks (run with '-m benchmark')", - "slow: marks tests that take >30s (ngraph subprocess execution)", + "slow: marks simulation and pipeline integration tests", "timeout: marks tests with custom timeout (requires pytest-timeout)", ] @@ -77,7 +79,7 @@ exclude_lines = [ ] [tool.setuptools.packages.find] -include = ["metrics*", "netlab*"] +include = ["netlab*"] exclude = ["tests*"] [project.scripts] @@ -93,7 +95,7 @@ ignore = ["E501"] fixable = ["ALL"] [tool.ruff.lint.isort] -known-first-party = ["metrics"] +known-first-party = ["netlab"] [tool.ruff.format] quote-style = "double" diff --git a/research_projects/dc-bb-autoresearch/config.yml b/research_projects/dc-bb-autoresearch/config.yml index 0029cf9..c74379c 100644 --- a/research_projects/dc-bb-autoresearch/config.yml +++ b/research_projects/dc-bb-autoresearch/config.yml @@ -1,4 +1,3 @@ generation_mode: programmatic generator_module: netlab.autoresearch.scenario_generator -generator_function: generate_scenario -config_class: netlab.autoresearch.scenario_generator.DcBbScenarioConfig +generator_function: generate_from_parameters diff --git a/research_projects/dc-bb-autoresearch/hypothesis_template.yml b/research_projects/dc-bb-autoresearch/hypothesis_template.yml index ca91e5b..4535936 100644 --- a/research_projects/dc-bb-autoresearch/hypothesis_template.yml +++ b/research_projects/dc-bb-autoresearch/hypothesis_template.yml @@ -1,8 +1,8 @@ params: g_abc1: type: enum - values: ["16", "32", "64"] - default: "16" + values: [16, 32, 64] + default: 16 description: > Mesh group count for ABC1 (FADU) <-> BB. G=16: k_dc=16 BB/FADU, 9,216 links. Only G that passes feasibility (>=75% retention). @@ -11,8 +11,8 @@ params: g_xyz1: type: enum - values: ["64", "128", "256"] - default: "64" + values: [64, 128, 256] + default: 64 description: > Mesh group count for XYZ1 (XSW) <-> BB. G=64: k_dc=4, 6,144 links. Uses all 4 available XSW ports. diff --git a/research_projects/dc-bb-autoresearch/program.md b/research_projects/dc-bb-autoresearch/program.md index 43331f2..8d6c2f1 100644 --- a/research_projects/dc-bb-autoresearch/program.md +++ b/research_projects/dc-bb-autoresearch/program.md @@ -36,8 +36,9 @@ runs each configured failure mode separately and combines them with equal weight Record the NetGraph version, seed, iteration count, and policies for new results. Metrics: -- **alpha_star**: Maximum demand multiplier the topology supports (higher = more capacity) -- **BAC AUC**: Bandwidth Availability Curve area under curve (higher = more resilient under failures) + +- **alpha_star**: Demand multiplier found within the configured MSD search bounds. +- **BAC AUC**: Mean delivered/baseline bandwidth, capped at 1, over baseline and failure samples. ### ABC1 Results (other side fixed at G_xyz1=64) @@ -109,6 +110,7 @@ A layout is `DC_row_groups x DC_column_groups _ BB_row_groups x BB_column_groups Block dimensions are grid dimensions divided by these group counts. Return parameter choices as YAML: + ```yaml params: g_abc1: "16" diff --git a/tests/autoresearch/data/square_mesh_results.json b/tests/autoresearch/data/square_mesh_results.json index 00d4ee5..c1e28d8 100644 --- a/tests/autoresearch/data/square_mesh_results.json +++ b/tests/autoresearch/data/square_mesh_results.json @@ -28,7 +28,7 @@ "steps": { "msd_baseline": { "metadata": { - "duration_sec": 0.0005278587341308594 + "duration_sec": 0.0004851818084716797 }, "data": { "alpha_star": 1.0, @@ -44,7 +44,7 @@ }, "base_demands": [ { - "id": "^N([1-4])$|^N([1-4])$|C5S1BzutRq6NWyHY_uawpA", + "id": "^N([1-4])$|^N([1-4])$|ENrw5L9jSfiSmpClIKshsA", "source": "^N([1-4])$", "target": "^N([1-4])$", "volume": 12.0, @@ -103,7 +103,7 @@ "parallelism": 8, "analysis_function": "demand_placement_analysis", "policy_name": "single_link_failure", - "execution_time": 0.0015289783477783203, + "execution_time": 0.0015802383422851562, "unique_patterns": 6, "occurrence_counts": [ 164, @@ -113,7 +113,7 @@ 164, 144 ], - "duration_sec": 0.010584115982055664 + "duration_sec": 0.01028299331665039 }, "data": { "baseline": { @@ -1373,7 +1373,7 @@ "include_used_edges": false, "base_demands": [ { - "id": "^N([1-4])$|^N([1-4])$|C5S1BzutRq6NWyHY_uawpA", + "id": "^N([1-4])$|^N([1-4])$|ENrw5L9jSfiSmpClIKshsA", "source": "^N([1-4])$", "target": "^N([1-4])$", "volume": 12.0, @@ -1398,7 +1398,7 @@ "parallelism": 8, "analysis_function": "max_flow_analysis", "policy_name": "single_link_failure", - "execution_time": 0.002185821533203125, + "execution_time": 0.0023889541625976562, "unique_patterns": 6, "occurrence_counts": [ 164, @@ -1408,7 +1408,7 @@ 164, 144 ], - "duration_sec": 0.011137008666992188 + "duration_sec": 0.011208772659301758 }, "data": { "baseline": { @@ -3628,7 +3628,7 @@ "demands": { "baseline_traffic_matrix": [ { - "id": "^N([1-4])$|^N([1-4])$|C5S1BzutRq6NWyHY_uawpA", + "id": "^N([1-4])$|^N([1-4])$|ENrw5L9jSfiSmpClIKshsA", "source": "^N([1-4])$", "target": "^N([1-4])$", "volume": 12.0, @@ -3644,4 +3644,4 @@ ] } } -} \ No newline at end of file +} diff --git a/tests/autoresearch/test_backend.py b/tests/autoresearch/test_backend.py index 00ee8da..9712c9b 100644 --- a/tests/autoresearch/test_backend.py +++ b/tests/autoresearch/test_backend.py @@ -19,10 +19,6 @@ OpenAICompatibleBackend, ) -# --------------------------------------------------------------------------- -# Helpers for mock HTTP server -# --------------------------------------------------------------------------- - def _make_handler(responses: list[tuple[int, dict | str, dict[str, str] | None]]): """Create a handler class that returns responses in sequence. @@ -95,14 +91,9 @@ def _start_server(handler_class) -> tuple[HTTPServer, int, threading.Thread]: return server, port, thread -# --------------------------------------------------------------------------- -# MockBackend tests -# --------------------------------------------------------------------------- - - class TestMockBackend: def test_returns_scripted_responses(self): - """Mock returns scripted: 3 scripted responses returned in order.""" + """Return scripted responses in order.""" backend = MockBackend(["alpha", "beta", "gamma"]) assert backend.generate("p1") == "alpha" assert backend.generate("p2", system="s2") == "beta" @@ -116,23 +107,18 @@ def test_records_calls(self): assert backend.calls == [("hello", "sys"), ("world", "")] def test_exhausted_raises_stopiteration(self): - """Mock exhausted: call beyond scripted list raises StopIteration.""" + """Raise StopIteration after the last scripted response.""" backend = MockBackend(["only_one"]) backend.generate("p1") with pytest.raises(StopIteration): backend.generate("p2") def test_is_llm_backend_subclass(self): - """MockBackend is a proper LLMBackend subclass.""" + """MockBackend implements the backend interface.""" assert issubclass(MockBackend, LLMBackend) assert isinstance(MockBackend([]), LLMBackend) -# --------------------------------------------------------------------------- -# ClaudeCLIBackend tests -# --------------------------------------------------------------------------- - - class TestClaudeCLIBackend: def test_subprocess_args_format(self): """Claude CLI format: subprocess args contain expected flags and values.""" @@ -199,11 +185,6 @@ def test_is_llm_backend_subclass(self): assert issubclass(ClaudeCLIBackend, LLMBackend) -# --------------------------------------------------------------------------- -# CodexCLIBackend tests -# --------------------------------------------------------------------------- - - class TestCodexCLIBackend: def test_subprocess_args_format(self, tmp_path): """Codex CLI format: subprocess args contain expected flags and values.""" @@ -295,11 +276,6 @@ def test_missing_executable_raises_clear_error(self): backend.generate("prompt") -# --------------------------------------------------------------------------- -# OpenAICompatibleBackend tests -# --------------------------------------------------------------------------- - - class TestOpenAICompatibleBackend: def test_request_format(self): """OpenAI request format: POST to /v1/chat/completions with correct body.""" @@ -330,7 +306,7 @@ def test_request_format(self): server.shutdown() def test_parses_response(self): - """OpenAI parses response: extracts content from choices.""" + """Read response text from the first choice.""" handler_cls, _, _ = _make_handler( [ (200, {"choices": [{"message": {"content": "hello"}}]}, None), @@ -415,12 +391,7 @@ def test_connection_refused(self): base_url="http://127.0.0.1:1", # nothing listening model="m", ) - # base_delay=1.0: delays are 1.0, 2.0, 4.0 = 7.0 total - # But we need total >= 3s and to stay under the 30s pytest timeout. - # Use base_delay=1.0 with max_retries=3 (4 attempts). - # Delays: 1.0 + 2.0 = 3.0 at minimum (3 sleeps before 4th attempt fails). - # Actually with max_retries=3: attempts 0,1,2,3. Sleeps after 0,1,2 = 1+2+4=7s. Too long. - # Use base_delay=0.5: 0.5 + 1.0 + 2.0 = 3.5s >= 3s, under 30s timeout. + # Backoff totals 0.5 + 1 + 2 = 3.5s, within the 30s test timeout. backend.base_delay = 0.5 backend.max_retries = 3 @@ -473,3 +444,17 @@ def test_no_system_message_when_empty(self): def test_is_llm_backend_subclass(self): assert issubclass(OpenAICompatibleBackend, LLMBackend) + + +@pytest.mark.parametrize("backend_class", [ClaudeCLIBackend, CodexCLIBackend]) +def test_cli_backend_has_a_deadline(backend_class): + import subprocess + + backend = backend_class(command="/test/llm", timeout=3) + with patch( + "netlab.autoresearch.backend.subprocess.run", + side_effect=subprocess.TimeoutExpired("llm", 3), + ) as run: + with pytest.raises(RuntimeError, match="timed out"): + backend.generate("prompt") + assert run.call_args.kwargs["timeout"] == 3 diff --git a/tests/autoresearch/test_cli.py b/tests/autoresearch/test_cli.py index c276b19..f053cc0 100644 --- a/tests/autoresearch/test_cli.py +++ b/tests/autoresearch/test_cli.py @@ -18,9 +18,6 @@ DATA_DIR = Path(__file__).parent / "data" -# --------------------------------------------------------------------------- -# Helpers -# --------------------------------------------------------------------------- _SQUARE_MESH_PATH = DATA_DIR / "square_mesh.yaml" @@ -43,7 +40,6 @@ def _make_run_args( backend: str = "mock", model: str | None = None, backend_bin: str | None = None, - ngraph_bin: str | None = None, openai_base_url: str | None = None, openai_model: str | None = None, claude_model: str | None = None, @@ -57,7 +53,6 @@ def _make_run_args( backend=backend, model=model, backend_bin=backend_bin, - ngraph_bin=ngraph_bin, openai_base_url=openai_base_url, openai_model=openai_model, claude_model=claude_model, @@ -91,11 +86,6 @@ def _no_msd_scenario(tmp_path: Path) -> Path: return path -# --------------------------------------------------------------------------- -# Init tests -# --------------------------------------------------------------------------- - - class TestInitCreatesStructure: def test_creates_all_files_and_dirs(self, tmp_path: Path) -> None: """init --base-scenario square_mesh.yaml --output dir creates correct structure.""" @@ -193,16 +183,10 @@ def test_nonexistent_base_scenario_exits_nonzero(self, tmp_path: Path) -> None: assert exc_info.value.code != 0 -# --------------------------------------------------------------------------- -# Run tests -# --------------------------------------------------------------------------- - - class TestRunBasic: @pytest.mark.timeout(120) def test_run_mock_one_experiment(self, tmp_path: Path) -> None: """run dir --backend mock --max-experiments 1 -> exit 0, 1 log entry.""" - # Set up project with placeholder scenario base = _base_scenario_with_placeholder(tmp_path) proj = tmp_path / "project" init_args = _make_init_args(base_scenario=base, output=proj) @@ -211,7 +195,6 @@ def test_run_mock_one_experiment(self, tmp_path: Path) -> None: run_args = _make_run_args( project_dir=proj, backend="mock", max_experiments=1, seed=42 ) - # Should not raise SystemExit (exit 0) autoresearch_run(run_args) log_path = proj / "experiment_log.jsonl" @@ -304,11 +287,6 @@ def test_build_backend_openai_uses_model_and_base_url(self, tmp_path: Path) -> N assert backend.base_url == "https://example.invalid" -# --------------------------------------------------------------------------- -# Argparse wiring tests (test that netlab cli.py registers the subcommands) -# --------------------------------------------------------------------------- - - class TestArgparseWiring: def test_autoresearch_help(self, capsys: pytest.CaptureFixture) -> None: """netlab autoresearch --help lists init and run.""" @@ -350,12 +328,12 @@ def test_autoresearch_run_help(self, capsys: pytest.CaptureFixture) -> None: assert "--model" in captured.out assert "--openai-base-url" in captured.out assert "--backend-bin" in captured.out - assert "--ngraph-bin" in captured.out + assert "--ngraph-bin" not in captured.out assert "--max-experiments" in captured.out assert "--timeout" in captured.out assert "--seed" in captured.out - def test_build_help_lists_topogen_bin(self, capsys: pytest.CaptureFixture) -> None: + def test_build_help_lists_graph_input(self, capsys: pytest.CaptureFixture) -> None: import netlab.cli as cli_mod with pytest.raises(SystemExit) as exc_info: @@ -370,11 +348,9 @@ def test_build_help_lists_topogen_bin(self, capsys: pytest.CaptureFixture) -> No assert exc_info.value.code == 0 captured = capsys.readouterr() - assert "--topogen-bin" in captured.out + assert "--graphs-dir" in captured.out - def test_run_help_lists_binary_overrides( - self, capsys: pytest.CaptureFixture - ) -> None: + def test_run_help_lists_queue_options(self, capsys: pytest.CaptureFixture) -> None: import netlab.cli as cli_mod with pytest.raises(SystemExit) as exc_info: @@ -389,5 +365,5 @@ def test_run_help_lists_binary_overrides( assert exc_info.value.code == 0 captured = capsys.readouterr() - assert "--topogen-bin" in captured.out - assert "--ngraph-bin" in captured.out + assert "--graphs-dir" in captured.out + assert "--ngraph-bin" not in captured.out diff --git a/tests/autoresearch/test_demands.py b/tests/autoresearch/test_demands.py index 4110ad2..cbcf93c 100644 --- a/tests/autoresearch/test_demands.py +++ b/tests/autoresearch/test_demands.py @@ -4,16 +4,9 @@ import re -from netlab.autoresearch.scenario_generator import ( - DcBbScenarioConfig, - _build_demands, - _build_failure_policy, - _build_workflow, -) - -# --------------------------------------------------------------------------- -# _build_demands tests -# --------------------------------------------------------------------------- +from netlab.autoresearch.dcbb_config import DcBbScenarioConfig +from netlab.autoresearch.dcbb_failures import _build_failure_policy +from netlab.autoresearch.scenario_generator import _build_demands, _build_workflow class TestBuildDemands: @@ -98,16 +91,11 @@ def test_demand_entry_keys(self): assert set(entry.keys()) == expected_keys -# --------------------------------------------------------------------------- -# _build_workflow tests -# --------------------------------------------------------------------------- - - class TestBuildWorkflow: """Tests for _build_workflow (MSD, per-mode placement, and combined placement).""" def test_workflow_step_count(self): - from netlab.autoresearch.scenario_generator import FAILURE_MODE_NAMES + from netlab.autoresearch.dcbb_failures import FAILURE_MODE_NAMES config = DcBbScenarioConfig() workflow = _build_workflow(config) @@ -127,7 +115,7 @@ def test_msd_references_baseline_traffic_matrix(self): assert msd["demand_set"] == "baseline_traffic_matrix" def test_per_mode_tmp_steps(self): - from netlab.autoresearch.scenario_generator import FAILURE_MODE_NAMES + from netlab.autoresearch.dcbb_failures import FAILURE_MODE_NAMES config = DcBbScenarioConfig() workflow = _build_workflow(config) @@ -161,23 +149,18 @@ def test_workflow_demand_names_match(self): assert step["demand_set"] in demand_names -# --------------------------------------------------------------------------- -# _build_failure_policy tests -# --------------------------------------------------------------------------- - - class TestBuildFailurePolicy: """Tests for _build_failure_policy (N single-mode + 1 combined).""" def test_policy_count(self): - from netlab.autoresearch.scenario_generator import FAILURE_MODE_NAMES + from netlab.autoresearch.dcbb_failures import FAILURE_MODE_NAMES config = DcBbScenarioConfig() policy = _build_failure_policy(config) assert len(policy) == len(FAILURE_MODE_NAMES) + 1 # N modes + 1 combined def test_single_mode_policies_have_one_mode(self): - from netlab.autoresearch.scenario_generator import FAILURE_MODE_NAMES + from netlab.autoresearch.dcbb_failures import FAILURE_MODE_NAMES config = DcBbScenarioConfig() policy = _build_failure_policy(config) @@ -187,7 +170,7 @@ def test_single_mode_policies_have_one_mode(self): assert p["modes"][0]["weight"] == 1.0 def test_combined_policy_has_all_modes(self): - from netlab.autoresearch.scenario_generator import FAILURE_MODE_NAMES + from netlab.autoresearch.dcbb_failures import FAILURE_MODE_NAMES config = DcBbScenarioConfig() combined = _build_failure_policy(config)["fm_combined"] diff --git a/tests/autoresearch/test_e2e_execution.py b/tests/autoresearch/test_e2e_execution.py index aac1719..698ba3e 100644 --- a/tests/autoresearch/test_e2e_execution.py +++ b/tests/autoresearch/test_e2e_execution.py @@ -14,7 +14,8 @@ import pytest import yaml -from netlab.autoresearch.scenario_generator import DcBbScenarioConfig, generate_scenario +from netlab.autoresearch.dcbb_config import DcBbScenarioConfig +from netlab.autoresearch.scenario_generator import generate_scenario @pytest.mark.slow diff --git a/tests/autoresearch/test_experiment_log.py b/tests/autoresearch/test_experiment_log.py index 1aeb128..b852d8e 100644 --- a/tests/autoresearch/test_experiment_log.py +++ b/tests/autoresearch/test_experiment_log.py @@ -40,9 +40,6 @@ def _make_entry( ) -# ---------- Append + read ---------- - - class TestAppendAndRead: def test_append_and_read_five_entries(self, tmp_path: Path) -> None: """Append 5 entries, read — len == 5, field-by-field match.""" @@ -75,9 +72,6 @@ def test_append_and_read_five_entries(self, tmp_path: Path) -> None: assert r.timestamp == w.timestamp -# ---------- Atomic write ---------- - - class TestAtomicWrite: def test_no_tmp_file_persists(self, tmp_path: Path) -> None: """After append, no .tmp file remains.""" @@ -90,9 +84,6 @@ def test_no_tmp_file_persists(self, tmp_path: Path) -> None: assert (tmp_path / "experiment_log.jsonl").exists() -# ---------- Corrupt-tail recovery ---------- - - class TestCorruptTailRecovery: def test_corrupt_tail_discarded_with_warning( self, tmp_path: Path, caplog: pytest.LogCaptureFixture @@ -102,7 +93,6 @@ def test_corrupt_tail_discarded_with_warning( for i in range(1, 6): log.append(_make_entry(exp_id=f"exp_{i:03d}")) - # Append garbage to the file log_path = tmp_path / "experiment_log.jsonl" with open(log_path, "ab") as f: f.write(b"this is 30 bytes of garbage!!!") @@ -114,9 +104,6 @@ def test_corrupt_tail_discarded_with_warning( assert any("corrupt" in r.message.lower() for r in caplog.records) -# ---------- Counter derivation ---------- - - class TestCounterDerivation: def test_counter_from_existing_dirs(self, tmp_path: Path) -> None: """Create exp_001..exp_010 dirs => next_experiment_id == 'exp_011'.""" @@ -145,13 +132,10 @@ def test_counter_ignores_non_exp_dirs(self, tmp_path: Path) -> None: assert log.next_experiment_id() == "exp_006" -# ---------- Best derivation ---------- - - class TestBestDerivation: def test_best_entry_maximize(self, tmp_path: Path) -> None: """10 entries with known scores; best_entry picks score=0.9.""" - log = ExperimentLog(tmp_path, direction="maximize") + log = ExperimentLog(tmp_path) scores = [0.1, 0.5, 0.9, 0.3, 0.2, 0.7, 0.4, 0.6, 0.8, 0.05] for i, score in enumerate(scores, start=1): log.append( @@ -168,9 +152,9 @@ def test_best_entry_maximize(self, tmp_path: Path) -> None: assert best.objective_score == 0.9 def test_best_entry_minimize(self, tmp_path: Path) -> None: - """direction='minimize', scores [0.9, 0.1, 0.5] => best is 0.1.""" - log = ExperimentLog(tmp_path, direction="minimize") - scores = [0.9, 0.1, 0.5] + """Minimized values are stored as negative scores; -0.1 ranks above -0.9.""" + log = ExperimentLog(tmp_path) + scores = [-0.9, -0.1, -0.5] for i, score in enumerate(scores, start=1): log.append( _make_entry( @@ -183,7 +167,7 @@ def test_best_entry_minimize(self, tmp_path: Path) -> None: best = log.best_entry() assert best is not None assert best.exp_id == "exp_002" - assert best.objective_score == 0.1 + assert best.objective_score == -0.1 def test_best_entry_no_scoreable(self, tmp_path: Path) -> None: """All entries have None score => best_entry returns None.""" @@ -192,9 +176,6 @@ def test_best_entry_no_scoreable(self, tmp_path: Path) -> None: assert log.best_entry() is None -# ---------- History windowing ---------- - - class TestHistoryWindowing: def test_windowed_history_25_entries(self, tmp_path: Path) -> None: """25 entries: result has last 10, top 5, summary with stats.""" @@ -211,15 +192,12 @@ def test_windowed_history_25_entries(self, tmp_path: Path) -> None: result = log.windowed_history(last_n=10, top_n=5) - # Should contain last 10 entries (exp_016..exp_025) for i in range(16, 26): assert f"exp_{i:03d}" in result, f"Missing recent entry exp_{i:03d}" - # Should contain top 5 by score (exp_025, exp_024, exp_023, exp_022, exp_021) for i in range(21, 26): assert f"exp_{i:03d}" in result, f"Missing top entry exp_{i:03d}" - # Should contain summary stats assert "Total experiments: 25" in result assert "Min score:" in result assert "Max score:" in result @@ -241,12 +219,9 @@ def test_char_budget(self, tmp_path: Path) -> None: result = log.windowed_history(last_n=10, top_n=5, max_chars=500) assert len(result) <= 500 - # Must contain best entry (exp_025, score=1.0) assert "exp_025" in result - # Must contain at least 3 recent entries recent_count = sum(1 for i in range(16, 26) if f"exp_{i:03d}" in result) - # Or at least 3 entries from the tail tail_count = sum(1 for i in range(23, 26) if f"exp_{i:03d}" in result) assert recent_count >= 3 or tail_count >= 3, ( f"Expected at least 3 recent entries, found {recent_count} recent, " @@ -260,9 +235,6 @@ def test_empty_log(self, tmp_path: Path) -> None: assert "No experiments" in result -# ---------- Config hash detection ---------- - - class TestConfigHash: def test_config_hash_stored_and_retrieved(self, tmp_path: Path) -> None: """Write config hash, retrieve it, compare to a different hash.""" @@ -272,7 +244,6 @@ def test_config_hash_stored_and_retrieved(self, tmp_path: Path) -> None: stored = log.config_hash() assert stored == "abc123" - # Simulate config change detection current_hash = "def456" config_changed = stored != current_hash assert config_changed is True @@ -298,9 +269,6 @@ def test_config_hash_same_means_no_change(self, tmp_path: Path) -> None: assert stored == current_hash -# ---------- Empty log ---------- - - class TestEmptyLog: def test_read_nonexistent_file(self, tmp_path: Path) -> None: """Read from nonexistent file => empty list, no error.""" @@ -310,9 +278,6 @@ def test_read_nonexistent_file(self, tmp_path: Path) -> None: assert entries == [] -# ---------- Consecutive failures ---------- - - class TestConsecutiveFailures: def test_all_success(self, tmp_path: Path) -> None: log = ExperimentLog(tmp_path) @@ -372,47 +337,22 @@ def test_failure_then_success_resets(self, tmp_path: Path) -> None: assert log.consecutive_failures() == 0 -# ---------- Direction validation ---------- +def test_cached_success_does_not_trip_circuit_breaker(tmp_path): + log = ExperimentLog(tmp_path) + log.append(_make_entry(status="cached")) + assert log.consecutive_failures() == 0 -class TestDirectionValidation: - def test_invalid_direction_raises(self, tmp_path: Path) -> None: - with pytest.raises(ValueError, match="direction"): - ExperimentLog(tmp_path, direction="invalid") +def test_append_recovers_partial_tail(tmp_path): + log = ExperimentLog(tmp_path) + log.append(_make_entry(exp_id="exp_001")) + with (tmp_path / "experiment_log.jsonl").open("a") as stream: + stream.write('{"exp_id":') + log.append(_make_entry(exp_id="exp_002")) + assert [entry.exp_id for entry in log.load()] == ["exp_001", "exp_002"] -# ---------- Error detail in history ---------- - - -class TestErrorDetailInHistory: - def test_error_detail_appears_in_history(self, tmp_path: Path) -> None: - """Error detail from entry appears in windowed history output.""" - log = ExperimentLog(tmp_path) - log.append( - _make_entry( - exp_id="exp_001", - status="crash", - error_detail="ValueError: bad flow", - objective_score=None, - metrics=None, - ) - ) - result = log.windowed_history() - assert "ValueError: bad flow" in result - - -# ---------- Metadata line coexists with entries ---------- - - -class TestMetadataCoexistence: - def test_metadata_does_not_break_load(self, tmp_path: Path) -> None: - """Metadata lines are silently skipped by load().""" - log = ExperimentLog(tmp_path) - log.write_config_hash("hash1") - log.append(_make_entry(exp_id="exp_001")) - log.append(_make_entry(exp_id="exp_002")) - - entries = log.load() - assert len(entries) == 2 - assert entries[0].exp_id == "exp_001" - assert entries[1].exp_id == "exp_002" +def test_ids_include_logged_attempts_without_result_directories(tmp_path): + log = ExperimentLog(tmp_path) + log.append(_make_entry(exp_id="exp_009", status="parse_error")) + assert log.next_experiment_id() == "exp_010" diff --git a/tests/autoresearch/test_generate_scenario.py b/tests/autoresearch/test_generate_scenario.py index abaa6a2..1e4f12c 100644 --- a/tests/autoresearch/test_generate_scenario.py +++ b/tests/autoresearch/test_generate_scenario.py @@ -1,21 +1,16 @@ -"""Tests for generate_scenario and validate_config in scenario_generator.py.""" +"""Tests for DC-BB configuration validation and scenario generation.""" from __future__ import annotations import pytest import yaml +from netlab.autoresearch.dcbb_config import DcBbScenarioConfig, validate_config from netlab.autoresearch.scenario_generator import ( - DcBbScenarioConfig, generate_scenario, generate_scenario_with_validation, - validate_config, ) -# --------------------------------------------------------------------------- -# validate_config -# --------------------------------------------------------------------------- - class TestValidateConfig: """validate_config returns errors for invalid configs, empty for valid.""" @@ -67,11 +62,6 @@ def test_multiple_errors_reported(self): assert len(errors) >= 2 -# --------------------------------------------------------------------------- -# generate_scenario structure -# --------------------------------------------------------------------------- - - class TestGenerateScenarioStructure: """Verify generate_scenario produces a well-formed scenario dict.""" @@ -113,14 +103,14 @@ def test_demands_use_anchors(self, scenario): assert d["source"].endswith("$") or d["target"].endswith("$") def test_failures_is_dict(self, scenario): - from netlab.autoresearch.scenario_generator import FAILURE_MODE_NAMES + from netlab.autoresearch.dcbb_failures import FAILURE_MODE_NAMES assert isinstance(scenario["failures"], dict) assert "fm_combined" in scenario["failures"] assert len(scenario["failures"]) == len(FAILURE_MODE_NAMES) + 1 def test_workflow_is_list(self, scenario): - from netlab.autoresearch.scenario_generator import FAILURE_MODE_NAMES + from netlab.autoresearch.dcbb_failures import FAILURE_MODE_NAMES assert isinstance(scenario["workflow"], list) assert len(scenario["workflow"]) == 1 + len(FAILURE_MODE_NAMES) + 1 @@ -148,11 +138,6 @@ def test_workflow_steps_no_invalid_keys(self, scenario): assert "metadata" not in step -# --------------------------------------------------------------------------- -# Post-expansion validation -# --------------------------------------------------------------------------- - - @pytest.mark.timeout(180) class TestPostExpansionValidation: """Validate the expanded network matches expected counts.""" @@ -193,11 +178,6 @@ def test_no_cross_group_links(self, expanded): assert errors == [], f"Cross-group errors: {errors[:3]}" -# --------------------------------------------------------------------------- -# generate_scenario with invalid config -# --------------------------------------------------------------------------- - - class TestGenerateScenarioValidation: """generate_scenario raises ValueError for invalid configs.""" diff --git a/tests/autoresearch/test_generation_loop.py b/tests/autoresearch/test_generation_loop.py index 2de5692..8650ecb 100644 --- a/tests/autoresearch/test_generation_loop.py +++ b/tests/autoresearch/test_generation_loop.py @@ -4,14 +4,12 @@ from pathlib import Path -import pytest - from netlab.autoresearch.backend import MockBackend from netlab.autoresearch.generation_loop import ( _extract_yaml, - inspect_scenario, run_generation_loop, ) +from netlab.simulation import inspect_scenario # A minimal valid scenario that ngraph will accept VALID_SCENARIO = """\ @@ -54,25 +52,10 @@ cost: 1 """ -# Actually invalid YAML that ngraph will reject +# Invalid YAML, rejected before model expansion. INVALID_YAML = "not: [valid: yaml: {{{" -def _find_ngraph() -> str: - import shutil - import sys - - # Check PATH first, then the current Python's venv bin directory - path = shutil.which("ngraph") - if path is None: - venv_bin = Path(sys.executable).parent / "ngraph" - if venv_bin.exists(): - path = str(venv_bin) - if path is None: - pytest.skip("ngraph binary not found") - return path - - class TestExtractYaml: def test_fenced_block(self) -> None: response = "Here is the scenario:\n```yaml\nseed: 42\nnetwork:\n nodes: {}\n```\nDone." @@ -91,8 +74,7 @@ class TestInspectScenario: def test_valid_scenario(self, tmp_path: Path) -> None: scenario_path = tmp_path / "scenario.yml" scenario_path.write_text(VALID_SCENARIO) - result = inspect_scenario(scenario_path, _find_ngraph()) - assert result.success + result = inspect_scenario(scenario_path.read_text()) assert result.node_count == 2 assert result.link_count == 1 @@ -102,9 +84,8 @@ def test_broken_scenario_passes_inspect_but_has_no_links( """ngraph silently drops links to nonexistent nodes.""" scenario_path = tmp_path / "scenario.yml" scenario_path.write_text(BROKEN_SCENARIO) - result = inspect_scenario(scenario_path, _find_ngraph()) + result = inspect_scenario(scenario_path.read_text()) # inspect succeeds (valid YAML) but link count is 0 - assert result.success assert result.link_count == 0 @@ -115,7 +96,6 @@ def test_succeeds_on_first_try(self, tmp_path: Path) -> None: result = run_generation_loop( idea="Two nodes A and B connected by a single link", backend=backend, - ngraph_bin=_find_ngraph(), work_dir=tmp_path, ) assert result.success @@ -129,7 +109,6 @@ def test_succeeds_after_revision(self, tmp_path: Path) -> None: result = run_generation_loop( idea="Two connected nodes", backend=backend, - ngraph_bin=_find_ngraph(), work_dir=tmp_path, ) assert result.success @@ -141,7 +120,6 @@ def test_fails_after_budget(self, tmp_path: Path) -> None: result = run_generation_loop( idea="Two connected nodes", backend=backend, - ngraph_bin=_find_ngraph(), max_iterations=3, work_dir=tmp_path, ) @@ -154,7 +132,6 @@ def test_handles_non_yaml_response(self, tmp_path: Path) -> None: result = run_generation_loop( idea="Two connected nodes", backend=backend, - ngraph_bin=_find_ngraph(), work_dir=tmp_path, ) assert result.success diff --git a/tests/autoresearch/test_hypothesis.py b/tests/autoresearch/test_hypothesis.py index 6ad8685..d03bd72 100644 --- a/tests/autoresearch/test_hypothesis.py +++ b/tests/autoresearch/test_hypothesis.py @@ -14,10 +14,6 @@ ParamDef, ) -# --------------------------------------------------------------------------- -# Fixtures -# --------------------------------------------------------------------------- - TEMPLATE_YAML = textwrap.dedent("""\ params: link_capacity: @@ -66,11 +62,6 @@ def template(template_path: Path) -> HypothesisTemplate: } -# --------------------------------------------------------------------------- -# Parse valid template -# --------------------------------------------------------------------------- - - class TestParseTemplate: def test_parse_valid_template(self, template: HypothesisTemplate) -> None: """template.params has 4 entries, each with correct type/range/default.""" @@ -101,11 +92,6 @@ def test_parse_valid_template(self, template: HypothesisTemplate) -> None: assert np_.default == 4 -# --------------------------------------------------------------------------- -# Validate in-range -# --------------------------------------------------------------------------- - - class TestValidateInRange: def test_validate_in_range(self, template: HypothesisTemplate) -> None: """Valid params produce no errors.""" @@ -114,11 +100,6 @@ def test_validate_in_range(self, template: HypothesisTemplate) -> None: assert errors == [] -# --------------------------------------------------------------------------- -# Reject out-of-range -# --------------------------------------------------------------------------- - - class TestRejectOutOfRange: def test_reject_out_of_range(self, template: HypothesisTemplate) -> None: """Out-of-range link_capacity produces error naming link_capacity and range.""" @@ -128,16 +109,10 @@ def test_reject_out_of_range(self, template: HypothesisTemplate) -> None: assert len(errors) == 1 assert "link_capacity" in errors[0] assert "9999" in errors[0] - # Should mention the range bounds assert "100" in errors[0] assert "1000" in errors[0] -# --------------------------------------------------------------------------- -# Reject wrong type -# --------------------------------------------------------------------------- - - class TestRejectWrongType: def test_reject_wrong_type(self, template: HypothesisTemplate) -> None: """String for int param produces error naming link_capacity and int.""" @@ -149,11 +124,6 @@ def test_reject_wrong_type(self, template: HypothesisTemplate) -> None: assert "int" in errors[0] -# --------------------------------------------------------------------------- -# Reject unknown param -# --------------------------------------------------------------------------- - - class TestRejectUnknownParam: def test_reject_unknown_param(self, template: HypothesisTemplate) -> None: """Unknown param 'nonexistent' produces error naming it.""" @@ -163,11 +133,6 @@ def test_reject_unknown_param(self, template: HypothesisTemplate) -> None: assert any("nonexistent" in e for e in errors) -# --------------------------------------------------------------------------- -# Reject missing param -# --------------------------------------------------------------------------- - - class TestRejectMissingParam: def test_reject_missing_param(self, template: HypothesisTemplate) -> None: """Providing only 3 of 4 params produces error naming the missing one.""" @@ -182,11 +147,6 @@ def test_reject_missing_param(self, template: HypothesisTemplate) -> None: assert any("num_paths" in e for e in errors) -# --------------------------------------------------------------------------- -# Deterministic hash -# --------------------------------------------------------------------------- - - class TestDeterministicHash: def test_same_params_different_order(self, template: HypothesisTemplate) -> None: """Same params in different dict order produce identical hash.""" @@ -215,10 +175,6 @@ def test_hash_distinguishes_different_values( assert h1.params_hash != h2.params_hash -# --------------------------------------------------------------------------- -# Substitute valid (HypothesisMerger) -# --------------------------------------------------------------------------- - BASE_SCENARIO = textwrap.dedent("""\ network: links: @@ -242,15 +198,9 @@ def test_substitute_valid(self, template: HypothesisTemplate) -> None: assert result["network"]["routing"]["policy"] == "SHORTEST_PATHS_ECMP" -# --------------------------------------------------------------------------- -# Reject unreplaced -# --------------------------------------------------------------------------- - - class TestRejectUnreplaced: def test_reject_unreplaced(self, template_path: Path) -> None: """${{missing_param}} not in hypothesis raises error citing missing_param.""" - # Create a template with only one param minimal_yaml = textwrap.dedent("""\ params: link_capacity: @@ -274,11 +224,6 @@ def test_reject_unreplaced(self, template_path: Path) -> None: merger.merge(h) -# --------------------------------------------------------------------------- -# Cross-check: extra placeholder -# --------------------------------------------------------------------------- - - class TestCrossCheckExtraPlaceholder: def test_extra_placeholder(self, template_path: Path) -> None: """Placeholder ${{foo}} not in template produces validation error citing foo.""" @@ -289,11 +234,6 @@ def test_extra_placeholder(self, template_path: Path) -> None: assert any("foo" in e for e in errors) -# --------------------------------------------------------------------------- -# Cross-check: unused param -# --------------------------------------------------------------------------- - - class TestCrossCheckUnusedParam: def test_unused_param(self, template_path: Path) -> None: """Template has 'num_paths' etc. but scenario has no placeholder for them.""" @@ -302,17 +242,11 @@ def test_unused_param(self, template_path: Path) -> None: scenario_text = "cap: ${{link_capacity}}" merger = HypothesisMerger(scenario_text, tmpl) errors = merger.validate_placeholders() - # Should report demand_scale, flow_policy, num_paths as unused unused_names = {"demand_scale", "flow_policy", "num_paths"} for name in unused_names: assert any(name in e for e in errors), f"Expected error about {name}" -# --------------------------------------------------------------------------- -# Collision safety: single-brace is ignored -# --------------------------------------------------------------------------- - - class TestCollisionSafety: def test_single_brace_ignored(self, template: HypothesisTemplate) -> None: """${single_brace} is NOT matched; only ${{double}} is substituted.""" @@ -330,11 +264,6 @@ def test_single_brace_ignored(self, template: HypothesisTemplate) -> None: assert result["capacity"] == 400 -# --------------------------------------------------------------------------- -# Edge cases and additional coverage -# --------------------------------------------------------------------------- - - class TestParamDefDataclass: def test_param_def_defaults(self) -> None: """ParamDef can be constructed with minimal args.""" @@ -373,3 +302,17 @@ def test_int_accepted_for_float_param(self, template: HypothesisTemplate) -> Non h = Hypothesis(params, template) errors = h.validate() assert errors == [] + + +@pytest.mark.parametrize("value", [float("nan"), float("inf"), -float("inf")]) +def test_nonfinite_hypothesis_is_invalid(tmp_path, value): + path = tmp_path / "template.yml" + path.write_text("params:\n x: {type: float, range: [0, 10]}\n") + assert HypothesisTemplate(path).validate_hypothesis({"x": value}) + + +def test_unknown_parameter_type_is_rejected(tmp_path): + path = tmp_path / "template.yml" + path.write_text("params:\n x: {type: arbitrary}\n") + with pytest.raises(ValueError, match="unsupported type"): + HypothesisTemplate(path) diff --git a/tests/autoresearch/test_hypothesis_manager.py b/tests/autoresearch/test_hypothesis_manager.py index de9ba0d..599d25d 100644 --- a/tests/autoresearch/test_hypothesis_manager.py +++ b/tests/autoresearch/test_hypothesis_manager.py @@ -2,29 +2,11 @@ from __future__ import annotations -import sys from pathlib import Path -import pytest - from netlab.autoresearch.backend import MockBackend from netlab.autoresearch.hypothesis_manager import HypothesisManager - -def _find_ngraph() -> str: - import shutil - - path = shutil.which("ngraph") - if path is None: - venv_bin = Path(sys.executable).parent / "ngraph" - if venv_bin.exists(): - path = str(venv_bin) - if path is None: - pytest.skip("ngraph binary not found") - return path - - -# Valid scenario that passes generation loop VALID_SCENARIO = """\ seed: 42 network: @@ -67,7 +49,6 @@ def test_full_cycle(self, tmp_path: Path) -> None: manager = HypothesisManager( project_dir=tmp_path, backend=backend, - ngraph_bin=_find_ngraph(), ) cycle = manager.run_cycle("Two nodes connected by a 100 Gbps link") @@ -78,7 +59,6 @@ def test_full_cycle(self, tmp_path: Path) -> None: assert cycle.analysis is not None assert cycle.analysis.complete - # Check persistence assert (tmp_path / "cycles" / "001" / "hypothesis.yml").exists() assert (tmp_path / "cycles" / "001" / "scenario.yml").exists() assert (tmp_path / "cycles" / "001" / "metrics_report.md").exists() @@ -87,36 +67,34 @@ def test_full_cycle(self, tmp_path: Path) -> None: assert (tmp_path / "cycles" / "001" / "status.yml").exists() assert (tmp_path / "cycle_log.jsonl").exists() - # Metrics report includes calculated capacity and bandwidth. report = (tmp_path / "cycles" / "001" / "metrics_report.md").read_text() assert "alpha_star" in report - # Next hypothesis is persisted next_h = (tmp_path / "cycles" / "001" / "next_hypothesis.md").read_text() assert "parallel link" in next_h - def test_generation_failure_records_dead_end(self, tmp_path: Path) -> None: - """Failed generation marks hypothesis as dead end.""" + def test_generation_failure_does_not_poison_hypothesis( + self, tmp_path: Path + ) -> None: + """Failed generation permits another attempt at the same hypothesis.""" backend = MockBackend(["not valid yaml {{"] * 20) manager = HypothesisManager( project_dir=tmp_path, backend=backend, - ngraph_bin=_find_ngraph(), ) cycle = manager.run_cycle("Impossible topology idea") assert cycle.status == "generation_failed" - assert (tmp_path / "dead_ends.jsonl").exists() + assert not (tmp_path / "dead_ends.jsonl").exists() - # Second attempt with same hypothesis is skipped + # Second attempt can succeed after the generation error backend2 = MockBackend([VALID_SCENARIO, INTERPRETATION, NEXT_HYPOTHESIS]) manager2 = HypothesisManager( project_dir=tmp_path, backend=backend2, - ngraph_bin=_find_ngraph(), ) cycle2 = manager2.run_cycle("Impossible topology idea") - assert cycle2.status == "skipped" + assert cycle2.status == "analyzed" def test_cycle_id_increments(self, tmp_path: Path) -> None: """Each cycle gets a unique incrementing ID.""" @@ -133,7 +111,6 @@ def test_cycle_id_increments(self, tmp_path: Path) -> None: manager = HypothesisManager( project_dir=tmp_path, backend=backend, - ngraph_bin=_find_ngraph(), ) c1 = manager.run_cycle("First hypothesis") diff --git a/tests/autoresearch/test_infrastructure.py b/tests/autoresearch/test_infrastructure.py index 070400e..a995a5d 100644 --- a/tests/autoresearch/test_infrastructure.py +++ b/tests/autoresearch/test_infrastructure.py @@ -1,4 +1,4 @@ -"""Tests verifying the autoresearch test infrastructure works correctly.""" +"""Check the square-mesh fixture and research template.""" from __future__ import annotations @@ -86,14 +86,14 @@ def test_base_demand_fields(self, square_mesh_results: dict) -> None: def test_compute_alpha_star_works(self, square_mesh_results: dict) -> None: """compute_alpha_star extracts alpha_star and base_total_demand.""" - from metrics.msd import compute_alpha_star + from netlab.metrics.msd import compute_alpha_star alpha = compute_alpha_star(square_mesh_results) assert alpha.alpha_star == 1.0 assert alpha.base_total_demand == 12.0 def test_analyze_one_seed(self, square_mesh_results, tmp_path, monkeypatch): - from netlab.metrics_cmd import analyze_one_seed + from netlab.metrics.analysis import analyze_one_seed monkeypatch.delenv("NGRAPH_ENABLE_MAXFLOW", raising=False) alpha, bac, _, latency, _, _, _ = analyze_one_seed( diff --git a/tests/autoresearch/test_memory.py b/tests/autoresearch/test_memory.py index 8e29a3b..39e0ba4 100644 --- a/tests/autoresearch/test_memory.py +++ b/tests/autoresearch/test_memory.py @@ -66,9 +66,6 @@ def _make_insight( ) -# ---------- Create insight with 1 exp ---------- - - class TestInsightMinEvidence: def test_rejected_with_1_evidence(self, tmp_path: Path) -> None: """add_insight with 1 evidence_for is rejected.""" @@ -83,9 +80,6 @@ def test_rejected_with_1_evidence(self, tmp_path: Path) -> None: assert len(mem.active_insights) == 0 -# ---------- Create insight with 2 exps ---------- - - class TestInsightAccepted: def test_accepted_with_2_evidence(self, tmp_path: Path) -> None: """add_insight with 2 evidence_for is accepted; confidence == tentative.""" @@ -100,9 +94,6 @@ def test_accepted_with_2_evidence(self, tmp_path: Path) -> None: assert mem.active_insights[0].confidence == "tentative" -# ---------- Confidence upgrade ---------- - - class TestConfidenceUpgrade: def test_moderate_at_4_evidence(self, tmp_path: Path) -> None: """Adding a 3rd and 4th experiment upgrades confidence to moderate.""" @@ -130,9 +121,6 @@ def test_moderate_at_4_evidence(self, tmp_path: Path) -> None: assert mem.active_insights[0].confidence == "moderate" -# ---------- Confidence strong ---------- - - class TestConfidenceStrong: def test_strong_at_5_evidence(self, tmp_path: Path) -> None: """Adding a 5th experiment upgrades confidence to strong.""" @@ -147,16 +135,12 @@ def test_strong_at_5_evidence(self, tmp_path: Path) -> None: assert mem.active_insights[0].confidence == "strong" -# ---------- 20-entry limit ---------- - - class TestInsightLimit: def test_21st_insight_rejected(self, tmp_path: Path) -> None: """Attempting to add 21st active insight is rejected.""" log = _make_log(tmp_path, n=50) mem = ResearchMemory(tmp_path / "memory") - # Add 20 insights for i in range(1, 21): ins = _make_insight( insight_id=f"ins_{i:03d}", @@ -168,7 +152,6 @@ def test_21st_insight_rejected(self, tmp_path: Path) -> None: assert len(mem.active_insights) == 20 - # 21st should be rejected ins21 = _make_insight( insight_id="ins_021", evidence_for=["exp_041", "exp_042"], @@ -180,9 +163,6 @@ def test_21st_insight_rejected(self, tmp_path: Path) -> None: assert len(mem.active_insights) == 20 -# ---------- Retire + add ---------- - - class TestRetireAndAdd: def test_retire_frees_slot(self, tmp_path: Path) -> None: """Retire 1 insight, then add a new one => 20 active, retired has status.""" @@ -199,16 +179,13 @@ def test_retire_frees_slot(self, tmp_path: Path) -> None: assert len(mem.active_insights) == 20 - # Retire one mem.retire_insight("ins_001") assert len(mem.active_insights) == 19 - # Check retired status retired = [ins for ins in mem._insights if ins.id == "ins_001"] assert len(retired) == 1 assert retired[0].status == "retired" - # Now adding succeeds new_ins = _make_insight( insight_id="ins_new", evidence_for=["exp_041", "exp_042"], @@ -219,9 +196,6 @@ def test_retire_frees_slot(self, tmp_path: Path) -> None: assert len(mem.active_insights) == 20 -# ---------- Contradiction flag ---------- - - class TestContradictionFlag: def test_flagged_at_half_ratio(self, tmp_path: Path) -> None: """evidence_for: 4, evidence_against: 2 => ratio 0.5 => flagged.""" @@ -250,9 +224,6 @@ def test_not_flagged_below_half(self, tmp_path: Path) -> None: assert mem.active_insights[0].flagged_for_revision is False -# ---------- Dead end dedup ---------- - - class TestDeadEndDedup: def test_same_lesson_merges(self, tmp_path: Path) -> None: """Two dead ends with same lesson => 1 entry with both exp_ids.""" @@ -283,9 +254,6 @@ def test_same_lesson_merges(self, tmp_path: Path) -> None: assert "exp_002" in mem.dead_ends[0].exp_ids -# ---------- Dead end window ---------- - - class TestDeadEndWindow: def test_16_dead_ends_keeps_15(self, tmp_path: Path) -> None: """Adding 16 dead ends with different lessons => 15 kept, oldest dropped.""" @@ -309,9 +277,6 @@ def test_16_dead_ends_keeps_15(self, tmp_path: Path) -> None: assert "Lesson 16" in lessons -# ---------- Strategy line limit ---------- - - class TestStrategyLineLimit: def test_40_lines_truncated_to_30(self, tmp_path: Path) -> None: """Writing 40-line strategy => stored <= 30 lines.""" @@ -326,9 +291,6 @@ def test_40_lines_truncated_to_30(self, tmp_path: Path) -> None: assert stored_lines[-1] == "Line 30" -# ---------- Invalid experiment ID ---------- - - class TestInvalidExpId: def test_nonexistent_exp_rejected(self, tmp_path: Path) -> None: """Insight citing exp_999 not in log is rejected.""" @@ -343,9 +305,6 @@ def test_nonexistent_exp_rejected(self, tmp_path: Path) -> None: assert len(mem.active_insights) == 0 -# ---------- Reflection parse ---------- - - class TestReflectionParse: def test_valid_reflection(self, tmp_path: Path) -> None: """Valid JSON + strategy markdown parsed correctly.""" @@ -438,9 +397,6 @@ def test_reflection_invalid_exp_id(self, tmp_path: Path) -> None: assert len(mem.active_insights) == 0 -# ---------- Load empty memory ---------- - - class TestLoadEmpty: def test_empty_dir(self, tmp_path: Path) -> None: """Empty memory dir => all collections empty, no errors.""" @@ -467,9 +423,6 @@ def test_nonexistent_dir(self, tmp_path: Path) -> None: assert mem.strategy == "" -# ---------- Round-trip ---------- - - class TestRoundTrip: def test_save_and_reload(self, tmp_path: Path) -> None: """Save 3 insights + 5 dead_ends + strategy, reload => all match.""" @@ -477,7 +430,6 @@ def test_save_and_reload(self, tmp_path: Path) -> None: mem_dir = tmp_path / "memory" mem = ResearchMemory(mem_dir) - # Add 3 insights for i in range(1, 4): ins = _make_insight( insight_id=f"ins_{i:03d}", @@ -487,7 +439,6 @@ def test_save_and_reload(self, tmp_path: Path) -> None: err = mem.add_insight(ins, log) assert err is None - # Add 5 dead ends for i in range(1, 6): de = DeadEnd( id=f"de_{i:03d}", @@ -499,17 +450,13 @@ def test_save_and_reload(self, tmp_path: Path) -> None: ) mem.add_dead_end(de) - # Set strategy mem.update_strategy("Focus on parameter x.\nAvoid y > 10.") - # Save mem.save() - # Reload into fresh instance mem2 = ResearchMemory(mem_dir) mem2.load() - # Verify insights assert len(mem2.active_insights) == 3 for i, ins in enumerate(mem2.active_insights, start=1): assert ins.id == f"ins_{i:03d}" @@ -517,18 +464,13 @@ def test_save_and_reload(self, tmp_path: Path) -> None: assert ins.confidence == "tentative" assert ins.status == "active" - # Verify dead ends assert len(mem2.dead_ends) == 5 for i, de in enumerate(mem2.dead_ends, start=1): assert de.lesson == f"Lesson {i}" - # Verify strategy assert mem2.strategy == "Focus on parameter x.\nAvoid y > 10." -# ---------- Protocol compliance ---------- - - class TestProtocolCompliance: """Verify ResearchMemory satisfies the ResearchMemoryLike protocol from prompt.py.""" @@ -543,15 +485,12 @@ def test_satisfies_protocol(self, tmp_path: Path) -> None: mem_dir = tmp_path / "memory" mem = ResearchMemory(mem_dir) - # ResearchMemory satisfies ResearchMemoryLike assert isinstance(mem, ResearchMemoryLike) - # Add an insight and check protocol ins = _make_insight() mem.add_insight(ins, log) assert isinstance(mem.active_insights[0], InsightLike) - # Add a dead end and check protocol de = DeadEnd( id="de_001", exp_ids=["exp_001"], @@ -571,10 +510,8 @@ def test_render_memory_section(self, tmp_path: Path) -> None: mem_dir = tmp_path / "memory" mem = ResearchMemory(mem_dir) - # Empty memory => empty string assert render_memory_section(mem) == "" - # Add data ins = _make_insight(claim="Higher x is better") mem.add_insight(ins, log) mem.update_strategy("Try x > 5.") diff --git a/tests/autoresearch/test_objective.py b/tests/autoresearch/test_objective.py index 96f642b..a5a124b 100644 --- a/tests/autoresearch/test_objective.py +++ b/tests/autoresearch/test_objective.py @@ -9,10 +9,6 @@ from netlab.autoresearch.objective import ObjectiveFunction -# --------------------------------------------------------------------------- -# Fixtures — inline mock results and objective YAML -# --------------------------------------------------------------------------- - OBJECTIVE_YAML = textwrap.dedent("""\ direction: maximize primary_metric: bac_auc @@ -95,11 +91,6 @@ def obj_multi_constraint(tmp_path: Path) -> ObjectiveFunction: return ObjectiveFunction(path) -# --------------------------------------------------------------------------- -# Test: Extract metric (alpha_star) -# --------------------------------------------------------------------------- - - class TestExtractMetric: def test_extract_alpha_star(self, obj_maximize: ObjectiveFunction) -> None: """Extract metric: results dict, metric_key='alpha_star' -> exact float match.""" @@ -119,11 +110,6 @@ def test_extract_total_cost(self, obj_maximize: ObjectiveFunction) -> None: assert value == 100.0 -# --------------------------------------------------------------------------- -# Test: Primary metric score (maximize) -# --------------------------------------------------------------------------- - - class TestPrimaryMetricScore: def test_maximize_higher_bac_scores_higher( self, obj_maximize: ObjectiveFunction @@ -154,11 +140,6 @@ def test_minimize_lower_cost_scores_higher( assert r200.primary_value == 200.0 -# --------------------------------------------------------------------------- -# Test: Constraint pass -# --------------------------------------------------------------------------- - - class TestConstraintPass: def test_constraint_passes(self, obj_maximize: ObjectiveFunction) -> None: """alpha_star >= 1.0 with alpha_star=1.5 -> feasible, no penalty.""" @@ -179,11 +160,6 @@ def test_constraint_exact_boundary(self, obj_maximize: ObjectiveFunction) -> Non assert result.violated_constraints == [] -# --------------------------------------------------------------------------- -# Test: Constraint fail -# --------------------------------------------------------------------------- - - class TestConstraintFail: def test_constraint_fails(self, obj_maximize: ObjectiveFunction) -> None: """alpha_star >= 1.0 with alpha_star=0.8 -> infeasible, penalized score.""" @@ -201,11 +177,6 @@ def test_constraint_fails(self, obj_maximize: ObjectiveFunction) -> None: assert r_infeasible.score < r_feasible.score -# --------------------------------------------------------------------------- -# Test: Multiple constraints (one passes, one fails) -# --------------------------------------------------------------------------- - - class TestMultipleConstraints: def test_one_pass_one_fail(self, obj_multi_constraint: ObjectiveFunction) -> None: """alpha_star >= 1.0 passes, total_cost <= 50.0 fails -> infeasible, @@ -238,11 +209,6 @@ def test_both_fail(self, obj_multi_constraint: ObjectiveFunction) -> None: assert result.score == 0.85 - 2e6 -# --------------------------------------------------------------------------- -# Test: Missing metric -# --------------------------------------------------------------------------- - - class TestMissingMetric: def test_undefined_metric_key(self, obj_maximize: ObjectiveFunction) -> None: """metric_key='nonexistent' -> raises KeyError with metric name.""" @@ -258,11 +224,6 @@ def test_missing_path_in_results(self, obj_maximize: ObjectiveFunction) -> None: obj_maximize.extract_metric(results, "bac_auc") -# --------------------------------------------------------------------------- -# Test: Objective from YAML -# --------------------------------------------------------------------------- - - class TestObjectiveFromYAML: def test_load_direction(self, obj_maximize: ObjectiveFunction) -> None: assert obj_maximize.direction == "maximize" @@ -300,7 +261,6 @@ def test_full_roundtrip(self, tmp_path: Path) -> None: assert obj.direction == "minimize" assert obj.primary_metric == "total_cost" - # Verify constraints load by evaluating results = _make_results(alpha_star=1.5, bac_auc=0.85, total_cost=100.0) result = obj.evaluate(results) assert result.status == "feasible" @@ -308,11 +268,6 @@ def test_full_roundtrip(self, tmp_path: Path) -> None: assert "total_cost" in result.all_metrics -# --------------------------------------------------------------------------- -# Test: Score computation details -# --------------------------------------------------------------------------- - - class TestScoreComputation: def test_maximize_score_equals_primary( self, obj_maximize: ObjectiveFunction @@ -337,7 +292,7 @@ def test_penalty_magnitude(self, obj_maximize: ObjectiveFunction) -> None: def test_infeasible_always_below_feasible( self, obj_maximize: ObjectiveFunction ) -> None: - """Even with a higher primary value, infeasible scores below any feasible.""" + """The constraint penalty outweighs the BAC gain in this example.""" results_infeasible = _make_results( alpha_star=0.1, bac_auc=0.99, total_cost=100.0 ) @@ -347,11 +302,6 @@ def test_infeasible_always_below_feasible( assert r_inf.score < r_feas.score -# --------------------------------------------------------------------------- -# Test: all_metrics populated -# --------------------------------------------------------------------------- - - class TestAllMetrics: def test_all_metrics_present(self, obj_maximize: ObjectiveFunction) -> None: results = _make_results(alpha_star=1.5, bac_auc=0.85, total_cost=100.0) @@ -363,11 +313,6 @@ def test_all_metrics_present(self, obj_maximize: ObjectiveFunction) -> None: } -# --------------------------------------------------------------------------- -# Test: Invalid objective YAML -# --------------------------------------------------------------------------- - - class TestInvalidObjective: def test_invalid_direction(self, tmp_path: Path) -> None: yaml_text = textwrap.dedent("""\ @@ -413,11 +358,6 @@ def test_unsupported_operator(self, tmp_path: Path) -> None: ObjectiveFunction(path) -# --------------------------------------------------------------------------- -# Test: Equality constraint operator -# --------------------------------------------------------------------------- - - class TestEqualityConstraint: def test_eq_passes(self, tmp_path: Path) -> None: yaml_text = textwrap.dedent("""\ diff --git a/tests/autoresearch/test_prompt.py b/tests/autoresearch/test_prompt.py index fbeaab2..ea76995 100644 --- a/tests/autoresearch/test_prompt.py +++ b/tests/autoresearch/test_prompt.py @@ -18,10 +18,6 @@ render_memory_section, ) -# --------------------------------------------------------------------------- -# Research-memory test doubles -# --------------------------------------------------------------------------- - @dataclass class StubInsight: @@ -46,10 +42,6 @@ class StubMemory: strategy: str = "" -# --------------------------------------------------------------------------- -# Helpers -# --------------------------------------------------------------------------- - DATA_DIR = Path(__file__).parent / "data" @@ -77,11 +69,6 @@ def _make_entry( ) -# --------------------------------------------------------------------------- -# Prompt construction -# --------------------------------------------------------------------------- - - class TestPromptStructure: """Prompt structure: program.md + template + 5 entries + best.""" @@ -106,26 +93,21 @@ def test_prompt_contains_sections_in_order( best=best, ) - # System prompt is program.md assert sys_prompt == program_md - # User prompt contains sections in order param_idx = user_prompt.index("Parameter Space") history_idx = user_prompt.index("Experiment History") best_idx = user_prompt.index("Current Best") assert param_idx < history_idx < best_idx - # Parameter space includes types and ranges assert "link_capacity (int)" in user_prompt assert "range [100.0, 1000.0]" in user_prompt assert "flow_policy (enum)" in user_prompt - # History contains all 5 entries for i in range(1, 6): assert f"exp_{i:03d}" in user_prompt - # Best entry with params and score assert "exp_005" in user_prompt assert "0.5000" in user_prompt @@ -174,18 +156,15 @@ def test_memory_section_renders_all_parts(self): section = render_memory_section(memory) - # Contains Recorded Insights with both insights as bullets assert "Recorded Insights" in section assert "Higher capacity improves throughput" in section assert "ECMP outperforms UCMP on square meshes" in section - # Contains Known Dead Ends with 3 entries assert "Known Dead Ends" in section assert "link_capacity=100" in section assert "demand_volume=100000" in section assert "seed=999" in section - # Contains strategy assert "Your Current Strategy" in section assert "Focus on mid-range capacities" in section @@ -325,7 +304,6 @@ class TestCharBudget: """ def test_long_history_included_unchanged(self, sample_template: HypothesisTemplate): - # Simulate a pre-rendered history string (already truncated by windowed_history) long_history = "Summary: Total experiments: 30\n" + "\n".join( f" exp_{i:03d}: status=success, score={i * 0.01:.4f}" for i in range(1, 31) ) @@ -336,7 +314,6 @@ def test_long_history_included_unchanged(self, sample_template: HypothesisTempla memory_section="", best=_make_entry("exp_030", score=0.30), ) - # History is included verbatim assert long_history in user_prompt def test_truncated_history_included_as_is( @@ -386,23 +363,18 @@ def test_reflection_prompt_contains_all_sections(self): best=best, ) - # System prompt is about reflection assert "reflect" in sys_prompt.lower() - # Contains all 5 experiment summaries for i in range(1, 6): assert f"exp_{i:03d}" in user_prompt - # Contains current memory contents assert "test insight" in user_prompt assert "cap=100" in user_prompt assert "Try higher capacities" in user_prompt - # Contains current best assert "exp_005" in user_prompt assert "0.5000" in user_prompt - # Contains the 3 task sections assert "INSIGHTS" in user_prompt assert "DEAD ENDS" in user_prompt assert "STRATEGY" in user_prompt @@ -414,7 +386,6 @@ def test_reflection_prompt_with_empty_memory(self): memory=StubMemory(), best=recent[0], ) - # Should still have task sections even with empty memory assert "INSIGHTS" in user_prompt assert "DEAD ENDS" in user_prompt assert "STRATEGY" in user_prompt @@ -460,7 +431,6 @@ def test_memory_section_with_only_strategy(self): assert "Your Research Notes" in section assert "Your Current Strategy" in section assert "Focus on exploration" in section - # Should not have empty insight/dead_end headers assert "Recorded Insights" not in section assert "Known Dead Ends" not in section diff --git a/tests/autoresearch/test_runner.py b/tests/autoresearch/test_runner.py index 8ebeeaf..977a608 100644 --- a/tests/autoresearch/test_runner.py +++ b/tests/autoresearch/test_runner.py @@ -14,9 +14,6 @@ DATA_DIR = Path(__file__).parent / "data" -# --------------------------------------------------------------------------- -# Helpers: create a test project directory -# --------------------------------------------------------------------------- # Read the original square_mesh.yaml once at module level _SQUARE_MESH_TEXT = (DATA_DIR / "square_mesh.yaml").read_text() @@ -72,11 +69,6 @@ def _mock_response(link_capacity: float) -> str: """) -# --------------------------------------------------------------------------- -# Init validation tests -# --------------------------------------------------------------------------- - - class TestInitValidatesWorkflow: def test_missing_msd_step_raises(self, tmp_path: Path) -> None: """Base scenario without MaximumSupportedDemand -> raises ValueError.""" @@ -134,27 +126,6 @@ def test_template_param_not_in_base_raises(self, tmp_path: Path) -> None: AutoResearchRunner(config) -class TestNgraphResolution: - def test_explicit_ngraph_bin_is_used(self, tmp_path: Path) -> None: - proj = make_project(tmp_path) - backend = MockBackend([]) - config = RunConfig( - project_dir=proj, - backend=backend, - ngraph_bin="/tmp/custom-ngraph", - max_experiments=0, - ) - - runner = AutoResearchRunner(config) - - assert runner._ngraph_bin == "/tmp/custom-ngraph" - - -# --------------------------------------------------------------------------- -# Happy path test (uses real ngraph) -# --------------------------------------------------------------------------- - - class TestHappyPath: @pytest.mark.timeout(120) def test_three_experiments_succeed(self, tmp_path: Path) -> None: @@ -175,8 +146,7 @@ def test_three_experiments_succeed(self, tmp_path: Path) -> None: assert runner.status == "completed" - # Check experiment log - log = ExperimentLog(proj, direction="maximize") + log = ExperimentLog(proj) entries = log.load() assert len(entries) == 3 @@ -186,14 +156,12 @@ def test_three_experiments_succeed(self, tmp_path: Path) -> None: assert "alpha_star" in entry.metrics assert entry.objective_score is not None - # Check experiment directories exist for i in range(1, 4): exp_dir = proj / "results" / f"exp_{i:03d}" assert exp_dir.exists() assert (exp_dir / "scenario.yml").exists() assert (exp_dir / "scenario.results.json").exists() - # Check best_hypothesis.yml exists best_path = proj / "best_hypothesis.yml" assert best_path.exists() best_data = yaml.safe_load(best_path.read_text()) @@ -201,11 +169,6 @@ def test_three_experiments_succeed(self, tmp_path: Path) -> None: assert "params" in best_data -# --------------------------------------------------------------------------- -# Deduplication test -# --------------------------------------------------------------------------- - - class TestDeduplication: @pytest.mark.timeout(120) def test_same_params_twice_cached(self, tmp_path: Path) -> None: @@ -224,31 +187,22 @@ def test_same_params_twice_cached(self, tmp_path: Path) -> None: runner = AutoResearchRunner(config) runner.run() - log = ExperimentLog(proj, direction="maximize") + log = ExperimentLog(proj) entries = log.load() assert len(entries) == 3 - # First and second have same params_hash assert entries[0].params_hash == entries[1].params_hash - # Second entry is cached assert entries[0].status == "success" assert entries[1].status == "cached" assert entries[2].status == "success" - # Cached entry should have same metrics as original assert entries[1].metrics == entries[0].metrics assert entries[1].objective_score == entries[0].objective_score - # Only 2 ngraph calls (not 3) assert runner.ngraph_call_count == 2 -# --------------------------------------------------------------------------- -# Circuit breaker tests -# --------------------------------------------------------------------------- - - class TestCircuitBreakerTrips: def test_five_bad_responses_halt(self, tmp_path: Path) -> None: """5 unparseable responses -> circuit breaker trips.""" @@ -268,7 +222,7 @@ def test_five_bad_responses_halt(self, tmp_path: Path) -> None: assert runner.status == "circuit_breaker" - log = ExperimentLog(proj, direction="maximize") + log = ExperimentLog(proj) entries = log.load() assert len(entries) == 5 for entry in entries: @@ -298,15 +252,11 @@ def test_resets_on_success(self, tmp_path: Path) -> None: runner = AutoResearchRunner(config) runner.run() - log = ExperimentLog(proj, direction="maximize") + log = ExperimentLog(proj) entries = log.load() - # The 1 good entry at position 4 resets the counter. - # Then 3 more bad. Total consecutive from tail = 3 < 5, no trip. - # So we should have all 8 entries. assert len(entries) == 8 - # Verify statuses assert entries[0].status == "parse_error" assert entries[1].status == "parse_error" assert entries[2].status == "parse_error" @@ -319,24 +269,18 @@ def test_resets_on_success(self, tmp_path: Path) -> None: assert runner.status == "completed" -# --------------------------------------------------------------------------- -# Resume test -# --------------------------------------------------------------------------- - - class TestResumeCounter: @pytest.mark.timeout(120) def test_starts_at_exp_004(self, tmp_path: Path) -> None: """Pre-create exp_001..exp_003 dirs + 3-entry log -> starts at exp_004.""" proj = make_project(tmp_path) + AutoResearchRunner(RunConfig(project_dir=proj, backend=MockBackend([]))) results_dir = proj / "results" - # Pre-create exp directories for i in range(1, 4): (results_dir / f"exp_{i:03d}").mkdir() - # Pre-create a 3-entry log - log = ExperimentLog(proj, direction="maximize") + log = ExperimentLog(proj) for i in range(1, 4): entry = LogEntry( exp_id=f"exp_{i:03d}", @@ -360,7 +304,7 @@ def test_starts_at_exp_004(self, tmp_path: Path) -> None: runner = AutoResearchRunner(config) runner.run() - log2 = ExperimentLog(proj, direction="maximize") + log2 = ExperimentLog(proj) entries = log2.load() assert len(entries) == 4 assert entries[3].exp_id == "exp_004" @@ -373,14 +317,13 @@ def test_re_derives_best_from_log(self, tmp_path: Path) -> None: Runner re-derives best as 0.9 and uses it as the comparison threshold. """ proj = make_project(tmp_path) + AutoResearchRunner(RunConfig(project_dir=proj, backend=MockBackend([]))) results_dir = proj / "results" - # Pre-create exp directories for i in range(1, 4): (results_dir / f"exp_{i:03d}").mkdir() - # Pre-create log with varying scores - log = ExperimentLog(proj, direction="maximize") + log = ExperimentLog(proj) scores = [0.5, 0.9, 0.3] for i, score in enumerate(scores, 1): entry = LogEntry( @@ -397,7 +340,7 @@ def test_re_derives_best_from_log(self, tmp_path: Path) -> None: ) log.append(entry) - # Write a STALE best_hypothesis.yml pointing to score 0.5 + # A stale best_hypothesis.yml must not override the log. stale_best = { "exp_id": "exp_001", "params": {"link_capacity": 1.0}, @@ -416,70 +359,38 @@ def test_re_derives_best_from_log(self, tmp_path: Path) -> None: runner = AutoResearchRunner(config) runner.run() - # The runner re-derives best as 0.9 from the log. - # The new experiment's score from ngraph (alpha_star=1.0) is > 0.9, - # so it should become the new best. best_path = proj / "best_hypothesis.yml" best_data = yaml.safe_load(best_path.read_text()) - # The new experiment scored 1.0 (alpha_star from ngraph), which is > 0.9 assert best_data["exp_id"] == "exp_004" assert best_data["objective_score"] >= 0.9 -# --------------------------------------------------------------------------- -# Timeout test -# --------------------------------------------------------------------------- - - class TestTimeoutNoResult: - def test_sleep_subprocess_timeout(self, tmp_path: Path) -> None: - """Mock ngraph with 'sleep 999', timeout_s=2 -> timeout_no_result.""" - proj = make_project(tmp_path) + def test_queue_timeout(self, tmp_path: Path, monkeypatch) -> None: + from netlab.simulation import SimulationResult - responses = [_mock_response(2.0)] - backend = MockBackend(responses) - config = RunConfig( - project_dir=proj, backend=backend, max_experiments=1, seed=42, timeout_s=2 + proj = make_project(tmp_path) + monkeypatch.setattr( + "netlab.autoresearch.runner.run_simulation", + lambda *a, **kw: SimulationResult("timeout", error="deadline exceeded"), + ) + runner = AutoResearchRunner( + RunConfig( + project_dir=proj, + backend=MockBackend([_mock_response(2.0)]), + max_experiments=1, + ) ) - runner = AutoResearchRunner(config) - # Override ngraph binary to sleep - runner._ngraph_bin = "sleep" - - # Patch _execute_ngraph to use ["sleep", "999"] for both inspect and run - def _timeout_execute(scenario_path, exp_dir): - import subprocess as sp - - try: - sp.run( - ["sleep", "999"], - capture_output=True, - text=True, - timeout=config.timeout_s, - ) - except sp.TimeoutExpired: - return {"status": "timeout_no_result"} - return {"status": "success"} - - runner._execute_ngraph = _timeout_execute - runner.run() - - log = ExperimentLog(proj, direction="maximize") - entries = log.load() - assert len(entries) == 1 + entries = ExperimentLog(proj).load() assert entries[0].status == "timeout_no_result" - assert entries[0].metrics is None - - -# --------------------------------------------------------------------------- -# Crash: stderr captured -# --------------------------------------------------------------------------- + assert entries[0].error_detail == "deadline exceeded" class TestCrashStderrCaptured: @pytest.mark.timeout(120) def test_bad_scenario_captures_stderr(self, tmp_path: Path) -> None: - """Invalid scenario content -> ngraph fails, stderr captured.""" + """Simulation errors are recorded in the experiment log.""" proj = make_project(tmp_path) # Create a base_scenario that will pass placeholder validation @@ -522,9 +433,68 @@ def test_bad_scenario_captures_stderr(self, tmp_path: Path) -> None: runner = AutoResearchRunner(config) runner.run() - log = ExperimentLog(proj, direction="maximize") + log = ExperimentLog(proj) entries = log.load() assert len(entries) == 1 assert entries[0].status == "crash" assert entries[0].error_detail is not None assert len(entries[0].error_detail) > 0 + + +@pytest.mark.parametrize( + "changed", ["seed", "objective.yml", "base_scenario.yml", "dependencies"] +) +def test_resume_rejects_changed_research_inputs(tmp_path, monkeypatch, changed): + proj = make_project(tmp_path) + config = RunConfig(project_dir=proj, backend=MockBackend([])) + AutoResearchRunner(config) + if changed == "seed": + config.seed += 1 + elif changed == "dependencies": + monkeypatch.setattr( + "netlab.autoresearch.runner.package_versions", + lambda: {"ngraph": "different"}, + ) + else: + path = proj / changed + path.write_text(path.read_text() + "\n# changed input\n") + with pytest.raises(ValueError, match="inputs or dependencies changed"): + AutoResearchRunner(config) + + +def test_minimize_selects_zero_and_keeps_distinct_attempt_ids(tmp_path, monkeypatch): + from netlab.simulation import SimulationResult + + proj = make_project(tmp_path) + objective = proj / "objective.yml" + objective.write_text(objective.read_text().replace("maximize", "minimize")) + values = iter([1.0, 0.0, 2.0]) + + def execute(*args, **kwargs): + return SimulationResult( + "success", + results={"steps": {"msd_baseline": {"data": {"alpha_star": next(values)}}}}, + ) + + monkeypatch.setattr("netlab.autoresearch.runner.run_simulation", execute) + backend = MockBackend( + [_mock_response(2.0), _mock_response(3.0), _mock_response(4.0)] + ) + runner = AutoResearchRunner( + RunConfig( + project_dir=proj, + backend=backend, + max_experiments=3, + reflection_interval=100, + ) + ) + # A new best triggers reflection; avoid consuming the experiment responses there. + monkeypatch.setattr(runner, "_run_reflection", lambda entries: None) + runner.run() + best = ExperimentLog(proj).best_entry() + assert best.exp_id == "exp_002" + assert best.objective_score == 0 + assert ( + yaml.safe_load((proj / "best_hypothesis.yml").read_text())["exp_id"] + == "exp_002" + ) diff --git a/tests/autoresearch/test_runner_programmatic.py b/tests/autoresearch/test_runner_programmatic.py index 6953c7f..3f8fa1e 100644 --- a/tests/autoresearch/test_runner_programmatic.py +++ b/tests/autoresearch/test_runner_programmatic.py @@ -12,21 +12,17 @@ from netlab.autoresearch.experiment_log import ExperimentLog from netlab.autoresearch.runner import AutoResearchRunner, RunConfig -# --------------------------------------------------------------------------- -# Helpers: create a programmatic-mode test project directory -# --------------------------------------------------------------------------- - HYPOTHESIS_TEMPLATE_YAML = textwrap.dedent("""\ params: g_abc1: type: enum - values: ["16", "32", "64"] - default: "64" + values: [16, 32, 64] + default: 64 description: "Mesh group count for ABC1" g_xyz1: type: enum - values: ["64", "128", "256"] - default: "64" + values: [64, 128, 256] + default: 64 description: "Mesh group count for XYZ1" """) @@ -42,7 +38,7 @@ generation_mode: programmatic generator_module: netlab.autoresearch.scenario_generator generator_function: generate_scenario - config_class: netlab.autoresearch.scenario_generator.DcBbScenarioConfig + config_class: netlab.autoresearch.dcbb_config.DcBbScenarioConfig """) PROGRAM_MD = "Optimize mesh group count for maximum throughput." @@ -73,11 +69,6 @@ def _mock_response(g_abc1: int, g_xyz1: int) -> str: """) -# --------------------------------------------------------------------------- -# Init validation tests -# --------------------------------------------------------------------------- - - class TestProgrammaticInit: def test_init_loads_generator(self, tmp_path: Path) -> None: """Programmatic mode runner loads the generator function.""" @@ -152,7 +143,6 @@ def test_unknown_mode_raises(self, tmp_path: Path) -> None: def test_no_base_scenario_needed(self, tmp_path: Path) -> None: """Programmatic mode does not require base_scenario.yml.""" proj = make_programmatic_project(tmp_path) - # Verify base_scenario.yml does NOT exist assert not (proj / "base_scenario.yml").exists() backend = MockBackend([]) @@ -162,11 +152,6 @@ def test_no_base_scenario_needed(self, tmp_path: Path) -> None: assert runner._generation_mode == "programmatic" -# --------------------------------------------------------------------------- -# Happy path: full loop with real ngraph (slow) -# --------------------------------------------------------------------------- - - @pytest.mark.slow @pytest.mark.timeout(600) class TestProgrammaticHappyPath: @@ -189,7 +174,7 @@ def test_generates_and_runs_scenario(self, tmp_path: Path) -> None: assert runner.status == "completed" assert runner.ngraph_call_count == 1 - log = ExperimentLog(proj, direction="maximize") + log = ExperimentLog(proj) entries = log.load() assert len(entries) == 1 assert entries[0].status == "success" @@ -197,20 +182,17 @@ def test_generates_and_runs_scenario(self, tmp_path: Path) -> None: assert "alpha_star" in entries[0].metrics assert entries[0].objective_score is not None - # Check experiment directory exp_dir = proj / "results" / "exp_001" assert exp_dir.exists() assert (exp_dir / "scenario.yml").exists() assert (exp_dir / "scenario.results.json").exists() - # Verify the generated scenario has the expected structure scenario = yaml.safe_load((exp_dir / "scenario.yml").read_text()) assert "network" in scenario assert "nodes" in scenario["network"] assert "links" in scenario["network"] assert "workflow" in scenario - # Check best_hypothesis.yml best_path = proj / "best_hypothesis.yml" assert best_path.exists() best_data = yaml.safe_load(best_path.read_text()) @@ -218,11 +200,6 @@ def test_generates_and_runs_scenario(self, tmp_path: Path) -> None: assert best_data["params"]["g_xyz1"] == 64 -# --------------------------------------------------------------------------- -# Generation error: invalid G value produces generation_error -# --------------------------------------------------------------------------- - - class TestProgrammaticGenerationError: def test_invalid_g_produces_generation_error(self, tmp_path: Path) -> None: """g_abc1=32 with default layout -> ValueError from generate_scenario @@ -243,7 +220,7 @@ def test_invalid_g_produces_generation_error(self, tmp_path: Path) -> None: assert runner.status == "completed" assert runner.ngraph_call_count == 0 # never reached ngraph - log = ExperimentLog(proj, direction="maximize") + log = ExperimentLog(proj) entries = log.load() assert len(entries) == 1 assert entries[0].status == "generation_error" @@ -254,11 +231,6 @@ def test_invalid_g_produces_generation_error(self, tmp_path: Path) -> None: ) -# --------------------------------------------------------------------------- -# Deduplication works in programmatic mode -# --------------------------------------------------------------------------- - - @pytest.mark.slow @pytest.mark.timeout(600) class TestProgrammaticDedup: @@ -280,7 +252,7 @@ def test_same_params_cached(self, tmp_path: Path) -> None: assert runner.status == "completed" assert runner.ngraph_call_count == 1 - log = ExperimentLog(proj, direction="maximize") + log = ExperimentLog(proj) entries = log.load() assert len(entries) == 2 assert entries[0].status == "success" @@ -289,11 +261,6 @@ def test_same_params_cached(self, tmp_path: Path) -> None: assert entries[1].metrics == entries[0].metrics -# --------------------------------------------------------------------------- -# Mixed success and generation error -# --------------------------------------------------------------------------- - - @pytest.mark.slow @pytest.mark.timeout(600) class TestProgrammaticMixed: @@ -316,7 +283,7 @@ def test_success_then_error_then_cached(self, tmp_path: Path) -> None: assert runner.status == "completed" assert runner.ngraph_call_count == 1 - log = ExperimentLog(proj, direction="maximize") + log = ExperimentLog(proj) entries = log.load() assert len(entries) == 3 assert entries[0].status == "success" diff --git a/tests/autoresearch/test_scenario_generator.py b/tests/autoresearch/test_scenario_generator.py index 4a6920b..ab2c414 100644 --- a/tests/autoresearch/test_scenario_generator.py +++ b/tests/autoresearch/test_scenario_generator.py @@ -1,8 +1,8 @@ -"""Tests for the mesh group algorithm in scenario_generator.py.""" +"""Tests for DC-BB mesh groups and layout validation.""" import pytest -from netlab.autoresearch.scenario_generator import ( +from netlab.autoresearch.dcbb_config import ( DcBbScenarioConfig, _compute_mesh_groups, get_valid_layouts, @@ -10,10 +10,6 @@ validate_layout, ) -# --------------------------------------------------------------------------- -# Viable G values -# --------------------------------------------------------------------------- - class TestGetViableGValues: """Viable group counts for known device counts and port limits.""" @@ -65,11 +61,6 @@ def test_trivial_g_equals_1(self): assert 1 in result -# --------------------------------------------------------------------------- -# Mesh group computation -# --------------------------------------------------------------------------- - - class TestComputeMeshGroups: """Test _compute_mesh_groups partitioning and group sizes.""" @@ -85,7 +76,6 @@ def test_every_dc_device_in_exactly_one_group(self): all_dc = set() for dc_devs, _ in groups: dc_set = set(dc_devs) - # No overlap with previously seen devices assert all_dc.isdisjoint(dc_set), "DC device in multiple groups" all_dc.update(dc_set) @@ -203,7 +193,6 @@ def test_large_config_dc64x24_bb64x4(self): assert len(groups) == 64 - # Verify partition all_dc = set() all_bb = set() for dc_devs, bb_devs in groups: @@ -220,11 +209,6 @@ def test_large_config_dc64x24_bb64x4(self): assert len(all_bb) == 64 * 4 -# --------------------------------------------------------------------------- -# Layout validation and enumeration -# --------------------------------------------------------------------------- - - class TestValidateLayout: def test_valid_layout(self): assert validate_layout( @@ -264,7 +248,6 @@ def test_dc16x36_bb64x4_g64(self): # BB: (16, 4) works: 64%16=0, 4%4=0. Also (64,1): 64%64=0, 4%1=0 assert len(layouts) > 0 assert (16, 4, 16, 4) in layouts - # All must be valid for layout in layouts: assert validate_layout(64, layout, 16, 36, 64, 4) @@ -289,11 +272,6 @@ def test_all_returned_layouts_are_valid(self): assert validate_layout(g, layout, 16, 36, 64, 4) -# --------------------------------------------------------------------------- -# DcBbScenarioConfig dataclass -# --------------------------------------------------------------------------- - - class TestDcBbScenarioConfig: def test_default_values(self): cfg = DcBbScenarioConfig() @@ -334,11 +312,6 @@ def test_custom_values(self): assert cfg.g_xyz1 == 64 -# --------------------------------------------------------------------------- -# Integration: viable G + valid layouts + mesh groups together -# --------------------------------------------------------------------------- - - class TestIntegration: """End-to-end: viable G -> valid layout -> compute groups -> verify.""" @@ -373,7 +346,6 @@ def test_viable_g_to_groups( groups = _compute_mesh_groups(dc_rows, dc_cols, bb_rows, bb_cols, g, layout) assert len(groups) == g - # Verify partition all_dc = set() all_bb = set() for dc_devs, bb_devs in groups: @@ -387,11 +359,9 @@ def test_viable_g_to_groups( assert len(all_dc) == dc_total assert len(all_bb) == bb_total - # Full mesh link count total_links = sum(len(dc) * len(bb) for dc, bb in groups) assert total_links == dc_total * bb_total // g - # Port constraints for dc_devs, bb_devs in groups: assert len(bb_devs) <= dc_ports assert len(dc_devs) <= bb_ports diff --git a/tests/autoresearch/test_structural_analysis.py b/tests/autoresearch/test_structural_analysis.py index 13ab7f6..948376d 100644 --- a/tests/autoresearch/test_structural_analysis.py +++ b/tests/autoresearch/test_structural_analysis.py @@ -17,10 +17,6 @@ save_results, ) -# --------------------------------------------------------------------------- -# FailureFingerprint -# --------------------------------------------------------------------------- - class TestFailureFingerprint: def test_worst_feasibility_excludes_plane_group(self): @@ -38,11 +34,6 @@ def test_best_retention(self): assert fp.best_retention == 0.75 -# --------------------------------------------------------------------------- -# _compute_failure_fingerprint -# --------------------------------------------------------------------------- - - class TestComputeFingerprint: def test_bb_block_16r_1c(self): """BB block 16rx1c for G=16 ABC1: 16 planes, 1 device per plane.""" @@ -99,22 +90,12 @@ def test_zero_k(self): assert fp.worst_feasibility == 0.0 -# --------------------------------------------------------------------------- -# _block_notation -# --------------------------------------------------------------------------- - - class TestBlockNotation: def test_format(self): assert _block_notation(4, 9, 16, 1) == "4rx9c <> 16rx1c" assert _block_notation(1, 9, 4, 1) == "1rx9c <> 4rx1c" -# --------------------------------------------------------------------------- -# analyze_side -# --------------------------------------------------------------------------- - - class TestAnalyzeSide: def test_abc1_default_config(self): """ABC1 with default config: 16x36 FADU, 64x4 BB, 16 ports.""" @@ -182,7 +163,6 @@ def test_xyz1_g64_best_is_4r_1c(self): bb_ports=64, ) g64 = [c for c in result.configs if c.g == 64] - # Find the 4rx1c BB block config best = [c for c in g64 if c.bb_block_rows == 4 and c.bb_block_cols == 1] assert len(best) > 0 for c in best: @@ -201,12 +181,8 @@ def test_sorted_by_g_descending(self): bb_ports=36, ) g_values = [c.g for c in result.configs] - # Within the list, G should be non-increasing for i in range(1, len(g_values)): - assert ( - g_values[i] <= g_values[i - 1] or True - ) # sorted by G desc, then layout - # First G should be the largest + assert g_values[i] <= g_values[i - 1] or True assert g_values[0] >= g_values[-1] def test_k_dc_correct(self): @@ -224,11 +200,6 @@ def test_k_dc_correct(self): assert c.k_dc == expected_k -# --------------------------------------------------------------------------- -# run_structural_analysis -# --------------------------------------------------------------------------- - - class TestRunStructuralAnalysis: def test_returns_both_sides(self): results = run_structural_analysis() @@ -246,11 +217,6 @@ def test_xyz1_no_feasible(self): assert len(xyz1_feasible) == 0 -# --------------------------------------------------------------------------- -# save_results -# --------------------------------------------------------------------------- - - class TestSaveResults: def test_roundtrip(self): results = run_structural_analysis() @@ -261,7 +227,6 @@ def test_roundtrip(self): assert "abc1" in data assert "xyz1" in data assert len(data["abc1"]["configs"]) > 0 - # Check structure c = data["abc1"]["configs"][0] assert "g" in c assert "layout" in c diff --git a/tests/autoresearch/test_sweep.py b/tests/autoresearch/test_sweep.py index e53a1d9..1db77df 100644 --- a/tests/autoresearch/test_sweep.py +++ b/tests/autoresearch/test_sweep.py @@ -147,3 +147,24 @@ def test_step_metrics_preserve_destinations_and_weights(): assert metrics["flow_bac"]["A>B"]["pct"][49] == 0.0 assert metrics["flow_bac"]["A>C"]["pct"][49] == 0.5 assert metrics["failure_stats"]["event_count"] == 2 + + +def test_sweep_retries_failed_entries_and_refuses_changed_inputs(tmp_path): + import json + + from netlab.autoresearch.sweep import _load_completed, _prepare_sweep + + config = SweepConfig(tmp_path) + _prepare_sweep(config, "abc1") + records = tmp_path / "results.jsonl" + records.write_text( + "\n".join( + json.dumps({"status": status, "result_dir": status}) + for status in ["success", "error", "timeout"] + ) + ) + assert _load_completed(records) == {"success"} + _prepare_sweep(config, "abc1") + config.seed += 1 + with pytest.raises(ValueError, match="inputs or dependencies changed"): + _prepare_sweep(config, "abc1") diff --git a/tests/data/README.md b/tests/data/README.md index c3f6a92..38bc077 100644 --- a/tests/data/README.md +++ b/tests/data/README.md @@ -15,9 +15,9 @@ Regenerate from an environment installed with the dependencies declared in venv/bin/python dev/regenerate_fixtures.py ``` -The script builds `topogen_configs_small` from the four cached integrated graphs, +The script builds `topogen_configs_small` from the four cached corridor MultiGraphs, executes NetGraph, and computes the metrics. It also runs the mini DC-BB and -square-mesh scenarios. All commands finish successfully before the fixtures are +square-mesh scenarios. All API tasks finish successfully before the fixtures are replaced. Logs, the previous fixtures, and the recorded provenance are saved under `build/fixture-regeneration/`. Installed sources must be released versions or clean Git revisions; the script refuses editable checkouts with uncommitted @@ -30,5 +30,9 @@ The metrics weight each failure pattern by its `occurrence_count`. Timing values record execution duration and are not performance assertions. Current fixtures were generated with Python 3.13, `ngraph==0.24.0` and -`netgraph-core==0.10.0` from PyPI, and TopoGen commit -`f06f563f5947eadb63544915624a53ccff45bb0d` from `main`. +`netgraph-core==0.11.0` from PyPI, and TopoGen commit +`3bf0fa4aa08604a886421461f7ce36dbd7275121`. + +The cached geography uses corridor MultiGraphs. BAC curves store unique thresholds +and inclusive `P(delivered >= threshold)` values; sample quantiles use all +occurrence-weighted draws. diff --git a/tests/data/mini_dcbb.yaml b/tests/data/mini_dcbb.yaml index cd6b7a1..a8e342c 100644 --- a/tests/data/mini_dcbb.yaml +++ b/tests/data/mini_dcbb.yaml @@ -1,7 +1,7 @@ # Mini DC-BB verification scenario # # 10 nodes, 2 planes, dual long-haul paths with asymmetric capacity and cost. -# Designed for hand-verifiable metric computation. +# Expected results are calculated below. # # Topology: # @@ -35,7 +35,7 @@ # Remaining 100 overflows to path_b (cost 212): 2 planes × 50 = 100 # Baseline cost_distribution: {112: 200, 212: 100} # -# === FAILURE SCENARIOS (at alpha=3, demand=300/direction) === +# Failures at alpha=3, demand=300 per direction: # # fm_lh_path: lose one LH path risk group (2 choices: path_a or path_b) # @@ -53,7 +53,7 @@ # fm_1x_bb: lose one random BB node (4 choices, equally likely) # # Lose any BB node (e.g., bb/abc1/pl1): -# That plane loses BOTH cross-site paths (path_a and path_b share +# That plane loses both cross-site paths (path_a and path_b share # the node). Remaining: plane 2 only = path_a(100) + path_b(50) = 150. # TE fills path_a first: 100 at cost 112, then path_b: 50 at cost 212. # Placed: 150. Ratio: 150/300 = 1/2 diff --git a/tests/data/mini_dcbb_output/mini_dcbb.results.json b/tests/data/mini_dcbb_output/mini_dcbb.results.json index e4d1644..f990e38 100644 --- a/tests/data/mini_dcbb_output/mini_dcbb.results.json +++ b/tests/data/mini_dcbb_output/mini_dcbb.results.json @@ -28,7 +28,7 @@ "steps": { "msd_baseline": { "metadata": { - "duration_sec": 0.0007808208465576172 + "duration_sec": 0.0006818771362304688 }, "data": { "alpha_star": 3.0, @@ -44,7 +44,7 @@ }, "base_demands": [ { - "id": "^abc1/rsw$|^xyz1/rsw$|4Nb419O9Tcur16fm7Z3oUw", + "id": "^abc1/rsw$|^xyz1/rsw$|WXTJPlkQQgamxn4bQbvG7g", "source": "^abc1/rsw$", "target": "^xyz1/rsw$", "volume": 100.0, @@ -56,7 +56,7 @@ "attrs": {} }, { - "id": "^xyz1/rsw$|^abc1/rsw$|n1PhD3laR4igrS0PxW9d3A", + "id": "^xyz1/rsw$|^abc1/rsw$|zl4j4O8CRU6Yy5s7R0QnEQ", "source": "^xyz1/rsw$", "target": "^abc1/rsw$", "volume": 100.0, @@ -133,13 +133,13 @@ "parallelism": 1, "analysis_function": "demand_placement_analysis", "policy_name": "fm_lh_path", - "execution_time": 0.0002608299255371094, + "execution_time": 0.0002040863037109375, "unique_patterns": 2, "occurrence_counts": [ 5, 5 ], - "duration_sec": 0.0005931854248046875 + "duration_sec": 0.0005071163177490234 }, "data": { "baseline": { @@ -152,8 +152,8 @@ "occurrence_count": 1, "flows": [ { - "source": "_src_^abc1/rsw$|^xyz1/rsw$|4Nb419O9Tcur16fm7Z3oUw", - "destination": "_snk_^abc1/rsw$|^xyz1/rsw$|4Nb419O9Tcur16fm7Z3oUw", + "source": "_src_^abc1/rsw$|^xyz1/rsw$|WXTJPlkQQgamxn4bQbvG7g", + "destination": "_snk_^abc1/rsw$|^xyz1/rsw$|WXTJPlkQQgamxn4bQbvG7g", "priority": 0, "demand": 300.0, "placed": 300.0, @@ -165,8 +165,8 @@ "data": {} }, { - "source": "_src_^xyz1/rsw$|^abc1/rsw$|n1PhD3laR4igrS0PxW9d3A", - "destination": "_snk_^xyz1/rsw$|^abc1/rsw$|n1PhD3laR4igrS0PxW9d3A", + "source": "_src_^xyz1/rsw$|^abc1/rsw$|zl4j4O8CRU6Yy5s7R0QnEQ", + "destination": "_snk_^xyz1/rsw$|^abc1/rsw$|zl4j4O8CRU6Yy5s7R0QnEQ", "priority": 0, "demand": 300.0, "placed": 300.0, @@ -201,8 +201,8 @@ "occurrence_count": 5, "flows": [ { - "source": "_src_^abc1/rsw$|^xyz1/rsw$|4Nb419O9Tcur16fm7Z3oUw", - "destination": "_snk_^abc1/rsw$|^xyz1/rsw$|4Nb419O9Tcur16fm7Z3oUw", + "source": "_src_^abc1/rsw$|^xyz1/rsw$|WXTJPlkQQgamxn4bQbvG7g", + "destination": "_snk_^abc1/rsw$|^xyz1/rsw$|WXTJPlkQQgamxn4bQbvG7g", "priority": 0, "demand": 300.0, "placed": 100.0, @@ -213,8 +213,8 @@ "data": {} }, { - "source": "_src_^xyz1/rsw$|^abc1/rsw$|n1PhD3laR4igrS0PxW9d3A", - "destination": "_snk_^xyz1/rsw$|^abc1/rsw$|n1PhD3laR4igrS0PxW9d3A", + "source": "_src_^xyz1/rsw$|^abc1/rsw$|zl4j4O8CRU6Yy5s7R0QnEQ", + "destination": "_snk_^xyz1/rsw$|^abc1/rsw$|zl4j4O8CRU6Yy5s7R0QnEQ", "priority": 0, "demand": 300.0, "placed": 100.0, @@ -247,8 +247,8 @@ "occurrence_count": 5, "flows": [ { - "source": "_src_^abc1/rsw$|^xyz1/rsw$|4Nb419O9Tcur16fm7Z3oUw", - "destination": "_snk_^abc1/rsw$|^xyz1/rsw$|4Nb419O9Tcur16fm7Z3oUw", + "source": "_src_^abc1/rsw$|^xyz1/rsw$|WXTJPlkQQgamxn4bQbvG7g", + "destination": "_snk_^abc1/rsw$|^xyz1/rsw$|WXTJPlkQQgamxn4bQbvG7g", "priority": 0, "demand": 300.0, "placed": 200.0, @@ -259,8 +259,8 @@ "data": {} }, { - "source": "_src_^xyz1/rsw$|^abc1/rsw$|n1PhD3laR4igrS0PxW9d3A", - "destination": "_snk_^xyz1/rsw$|^abc1/rsw$|n1PhD3laR4igrS0PxW9d3A", + "source": "_src_^xyz1/rsw$|^abc1/rsw$|zl4j4O8CRU6Yy5s7R0QnEQ", + "destination": "_snk_^xyz1/rsw$|^abc1/rsw$|zl4j4O8CRU6Yy5s7R0QnEQ", "priority": 0, "demand": 300.0, "placed": 200.0, @@ -287,7 +287,7 @@ "include_used_edges": false, "base_demands": [ { - "id": "^abc1/rsw$|^xyz1/rsw$|4Nb419O9Tcur16fm7Z3oUw", + "id": "^abc1/rsw$|^xyz1/rsw$|WXTJPlkQQgamxn4bQbvG7g", "source": "^abc1/rsw$", "target": "^xyz1/rsw$", "volume": 100.0, @@ -299,7 +299,7 @@ "attrs": {} }, { - "id": "^xyz1/rsw$|^abc1/rsw$|n1PhD3laR4igrS0PxW9d3A", + "id": "^xyz1/rsw$|^abc1/rsw$|zl4j4O8CRU6Yy5s7R0QnEQ", "source": "^xyz1/rsw$", "target": "^abc1/rsw$", "volume": 100.0, @@ -322,7 +322,7 @@ "parallelism": 1, "analysis_function": "demand_placement_analysis", "policy_name": "fm_1x_bb", - "execution_time": 0.0003719329833984375, + "execution_time": 0.0002760887145996094, "unique_patterns": 4, "occurrence_counts": [ 5, @@ -330,7 +330,7 @@ 5, 1 ], - "duration_sec": 0.0007352828979492188 + "duration_sec": 0.0005559921264648438 }, "data": { "baseline": { @@ -343,8 +343,8 @@ "occurrence_count": 1, "flows": [ { - "source": "_src_^abc1/rsw$|^xyz1/rsw$|4Nb419O9Tcur16fm7Z3oUw", - "destination": "_snk_^abc1/rsw$|^xyz1/rsw$|4Nb419O9Tcur16fm7Z3oUw", + "source": "_src_^abc1/rsw$|^xyz1/rsw$|WXTJPlkQQgamxn4bQbvG7g", + "destination": "_snk_^abc1/rsw$|^xyz1/rsw$|WXTJPlkQQgamxn4bQbvG7g", "priority": 0, "demand": 300.0, "placed": 300.0, @@ -356,8 +356,8 @@ "data": {} }, { - "source": "_src_^xyz1/rsw$|^abc1/rsw$|n1PhD3laR4igrS0PxW9d3A", - "destination": "_snk_^xyz1/rsw$|^abc1/rsw$|n1PhD3laR4igrS0PxW9d3A", + "source": "_src_^xyz1/rsw$|^abc1/rsw$|zl4j4O8CRU6Yy5s7R0QnEQ", + "destination": "_snk_^xyz1/rsw$|^abc1/rsw$|zl4j4O8CRU6Yy5s7R0QnEQ", "priority": 0, "demand": 300.0, "placed": 300.0, @@ -391,8 +391,8 @@ "occurrence_count": 5, "flows": [ { - "source": "_src_^abc1/rsw$|^xyz1/rsw$|4Nb419O9Tcur16fm7Z3oUw", - "destination": "_snk_^abc1/rsw$|^xyz1/rsw$|4Nb419O9Tcur16fm7Z3oUw", + "source": "_src_^abc1/rsw$|^xyz1/rsw$|WXTJPlkQQgamxn4bQbvG7g", + "destination": "_snk_^abc1/rsw$|^xyz1/rsw$|WXTJPlkQQgamxn4bQbvG7g", "priority": 0, "demand": 300.0, "placed": 150.0, @@ -404,8 +404,8 @@ "data": {} }, { - "source": "_src_^xyz1/rsw$|^abc1/rsw$|n1PhD3laR4igrS0PxW9d3A", - "destination": "_snk_^xyz1/rsw$|^abc1/rsw$|n1PhD3laR4igrS0PxW9d3A", + "source": "_src_^xyz1/rsw$|^abc1/rsw$|zl4j4O8CRU6Yy5s7R0QnEQ", + "destination": "_snk_^xyz1/rsw$|^abc1/rsw$|zl4j4O8CRU6Yy5s7R0QnEQ", "priority": 0, "demand": 300.0, "placed": 150.0, @@ -438,8 +438,8 @@ "occurrence_count": 9, "flows": [ { - "source": "_src_^abc1/rsw$|^xyz1/rsw$|4Nb419O9Tcur16fm7Z3oUw", - "destination": "_snk_^abc1/rsw$|^xyz1/rsw$|4Nb419O9Tcur16fm7Z3oUw", + "source": "_src_^abc1/rsw$|^xyz1/rsw$|WXTJPlkQQgamxn4bQbvG7g", + "destination": "_snk_^abc1/rsw$|^xyz1/rsw$|WXTJPlkQQgamxn4bQbvG7g", "priority": 0, "demand": 300.0, "placed": 150.0, @@ -451,8 +451,8 @@ "data": {} }, { - "source": "_src_^xyz1/rsw$|^abc1/rsw$|n1PhD3laR4igrS0PxW9d3A", - "destination": "_snk_^xyz1/rsw$|^abc1/rsw$|n1PhD3laR4igrS0PxW9d3A", + "source": "_src_^xyz1/rsw$|^abc1/rsw$|zl4j4O8CRU6Yy5s7R0QnEQ", + "destination": "_snk_^xyz1/rsw$|^abc1/rsw$|zl4j4O8CRU6Yy5s7R0QnEQ", "priority": 0, "demand": 300.0, "placed": 150.0, @@ -485,8 +485,8 @@ "occurrence_count": 5, "flows": [ { - "source": "_src_^abc1/rsw$|^xyz1/rsw$|4Nb419O9Tcur16fm7Z3oUw", - "destination": "_snk_^abc1/rsw$|^xyz1/rsw$|4Nb419O9Tcur16fm7Z3oUw", + "source": "_src_^abc1/rsw$|^xyz1/rsw$|WXTJPlkQQgamxn4bQbvG7g", + "destination": "_snk_^abc1/rsw$|^xyz1/rsw$|WXTJPlkQQgamxn4bQbvG7g", "priority": 0, "demand": 300.0, "placed": 150.0, @@ -498,8 +498,8 @@ "data": {} }, { - "source": "_src_^xyz1/rsw$|^abc1/rsw$|n1PhD3laR4igrS0PxW9d3A", - "destination": "_snk_^xyz1/rsw$|^abc1/rsw$|n1PhD3laR4igrS0PxW9d3A", + "source": "_src_^xyz1/rsw$|^abc1/rsw$|zl4j4O8CRU6Yy5s7R0QnEQ", + "destination": "_snk_^xyz1/rsw$|^abc1/rsw$|zl4j4O8CRU6Yy5s7R0QnEQ", "priority": 0, "demand": 300.0, "placed": 150.0, @@ -532,8 +532,8 @@ "occurrence_count": 1, "flows": [ { - "source": "_src_^abc1/rsw$|^xyz1/rsw$|4Nb419O9Tcur16fm7Z3oUw", - "destination": "_snk_^abc1/rsw$|^xyz1/rsw$|4Nb419O9Tcur16fm7Z3oUw", + "source": "_src_^abc1/rsw$|^xyz1/rsw$|WXTJPlkQQgamxn4bQbvG7g", + "destination": "_snk_^abc1/rsw$|^xyz1/rsw$|WXTJPlkQQgamxn4bQbvG7g", "priority": 0, "demand": 300.0, "placed": 150.0, @@ -545,8 +545,8 @@ "data": {} }, { - "source": "_src_^xyz1/rsw$|^abc1/rsw$|n1PhD3laR4igrS0PxW9d3A", - "destination": "_snk_^xyz1/rsw$|^abc1/rsw$|n1PhD3laR4igrS0PxW9d3A", + "source": "_src_^xyz1/rsw$|^abc1/rsw$|zl4j4O8CRU6Yy5s7R0QnEQ", + "destination": "_snk_^xyz1/rsw$|^abc1/rsw$|zl4j4O8CRU6Yy5s7R0QnEQ", "priority": 0, "demand": 300.0, "placed": 150.0, @@ -574,7 +574,7 @@ "include_used_edges": false, "base_demands": [ { - "id": "^abc1/rsw$|^xyz1/rsw$|4Nb419O9Tcur16fm7Z3oUw", + "id": "^abc1/rsw$|^xyz1/rsw$|WXTJPlkQQgamxn4bQbvG7g", "source": "^abc1/rsw$", "target": "^xyz1/rsw$", "volume": 100.0, @@ -586,7 +586,7 @@ "attrs": {} }, { - "id": "^xyz1/rsw$|^abc1/rsw$|n1PhD3laR4igrS0PxW9d3A", + "id": "^xyz1/rsw$|^abc1/rsw$|zl4j4O8CRU6Yy5s7R0QnEQ", "source": "^xyz1/rsw$", "target": "^abc1/rsw$", "volume": 100.0, @@ -667,7 +667,7 @@ "demands": { "baseline_traffic_matrix": [ { - "id": "^abc1/rsw$|^xyz1/rsw$|4Nb419O9Tcur16fm7Z3oUw", + "id": "^abc1/rsw$|^xyz1/rsw$|WXTJPlkQQgamxn4bQbvG7g", "source": "^abc1/rsw$", "target": "^xyz1/rsw$", "volume": 100.0, @@ -679,7 +679,7 @@ "attrs": {} }, { - "id": "^xyz1/rsw$|^abc1/rsw$|n1PhD3laR4igrS0PxW9d3A", + "id": "^xyz1/rsw$|^abc1/rsw$|zl4j4O8CRU6Yy5s7R0QnEQ", "source": "^xyz1/rsw$", "target": "^abc1/rsw$", "volume": 100.0, @@ -693,4 +693,4 @@ ] } } -} \ No newline at end of file +} diff --git a/tests/data/scenarios/small_baseline/small_baseline/small_baseline_integrated_graph.json b/tests/data/scenarios/small_baseline/small_baseline/small_baseline_integrated_graph.json index 238fe80..10c0e23 100644 --- a/tests/data/scenarios/small_baseline/small_baseline/small_baseline_integrated_graph.json +++ b/tests/data/scenarios/small_baseline/small_baseline/small_baseline_integrated_graph.json @@ -8679,1136 +8679,11 @@ 1921533.9 ] ], - "contracted_segments": [ - "1814100_2173650__1814250_2173650", - "1814100_2173350__1814100_2173650", - "1814100_2173200__1814100_2173350", - "1813950_2172900__1814100_2173200", - "1813800_2172600__1813950_2172900", - "1813800_2172300__1813800_2172600", - "1813800_2172150__1813800_2172300", - "1813800_2172000__1813800_2172150", - "1813650_2171850__1813800_2172000", - "1813650_2171700__1813650_2171850", - "1813500_2171400__1813650_2171700", - 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"risk_groups": [ "corridor_risk_atlanta_chicago", "corridor_risk_atlanta_columbus" - ] + ], + "key": 0 } - ] + ], + "graph_type": "corridors" } diff --git a/tests/data/scenarios/small_baseline/small_baseline__seed11/small_baseline__seed11_scenario.results.json b/tests/data/scenarios/small_baseline/small_baseline__seed11/small_baseline__seed11_scenario.results.json index df02a6f..db7152e 100644 --- a/tests/data/scenarios/small_baseline/small_baseline__seed11/small_baseline__seed11_scenario.results.json +++ b/tests/data/scenarios/small_baseline/small_baseline__seed11/small_baseline__seed11_scenario.results.json @@ -36,7 +36,7 @@ "steps": { "network_statistics": { "metadata": { - "duration_sec": 0.00013589859008789062 + "duration_sec": 6.389617919921875e-05 }, "data": { "node_count": 13, @@ -58,7 +58,7 @@ }, "msd_baseline": { "metadata": { - "duration_sec": 0.0013659000396728516 + "duration_sec": 0.0010030269622802734 }, "data": { "alpha_star": 1.40625, @@ -74,7 +74,7 @@ }, "base_demands": [ { - "id": "^metro1/dc1/.*|^metro5/dc1/.*|SqTXpfPTRLKj4JVnM_ut1A", + "id": "^metro1/dc1/.*|^metro5/dc1/.*|FVHv2hJaRgy1JosFP5JWaw", "source": "^metro1/dc1/.*", "target": "^metro5/dc1/.*", "volume": 15000.0, @@ -88,7 +88,7 @@ } }, { - "id": "^metro5/dc1/.*|^metro1/dc1/.*|2htfpq0cRDOP5aRkQbzr4g", + "id": "^metro5/dc1/.*|^metro1/dc1/.*|CImWx-TaTaaUoluWkpyJMA", "source": "^metro5/dc1/.*", "target": "^metro1/dc1/.*", "volume": 15000.0, @@ -102,7 +102,7 @@ } }, { - "id": "^metro2/dc1/.*|^metro5/dc1/.*|jnnNvf7KSWaMrdrvLUi17w", + "id": "^metro2/dc1/.*|^metro5/dc1/.*|91pB_-PSRVis1f_prAvc7w", "source": "^metro2/dc1/.*", "target": "^metro5/dc1/.*", "volume": 15000.0, @@ -116,7 +116,7 @@ } }, { - "id": "^metro5/dc1/.*|^metro2/dc1/.*|42X_jrKcRS2j58n_HwJMEw", + "id": "^metro5/dc1/.*|^metro2/dc1/.*|UD8O2nFzR8S_8YxfR1wK5A", "source": "^metro5/dc1/.*", "target": "^metro2/dc1/.*", "volume": 15000.0, @@ -130,7 +130,7 @@ } }, { - "id": "^metro1/dc1/.*|^metro2/dc1/.*|YhbqQ4iqTjqyFB1RVq_O8Q", + "id": "^metro1/dc1/.*|^metro2/dc1/.*|WXkBCkGBQ9WbPHtzzlNB1w", "source": "^metro1/dc1/.*", "target": "^metro2/dc1/.*", "volume": 15000.0, @@ -144,7 +144,7 @@ } }, { - "id": "^metro2/dc1/.*|^metro1/dc1/.*|w5PwBwW3QqWXT4d-BJiQRA", + "id": "^metro2/dc1/.*|^metro1/dc1/.*|lzj9pkCeSy2BTxjhe748fQ", "source": "^metro2/dc1/.*", "target": "^metro1/dc1/.*", "volume": 15000.0, @@ -203,7 +203,7 @@ "parallelism": 7, "analysis_function": "demand_placement_analysis", "policy_name": "mc_baseline", - "execution_time": 0.011181831359863281, + "execution_time": 0.013880014419555664, "unique_patterns": 38, "occurrence_counts": [ 39, @@ -245,7 +245,7 @@ 27, 19 ], - "duration_sec": 0.021759986877441406 + "duration_sec": 0.023918867111206055 }, "data": { "baseline": { @@ -465,12 +465,12 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ + "metro3/pop1/core/core|metro5/pop1/core/core|0", "metro4/pop2/core/core|metro5/pop2/core/core|0", - "metro3/pop1/core/core|metro4/pop1/core/core|0", - "metro3/pop2/core/core|metro5/pop2/core/core|0", "metro4/pop1/core/core|metro5/pop1/core/core|0", + "metro3/pop2/core/core|metro5/pop2/core/core|0", "metro3/pop2/core/core|metro4/pop2/core/core|0", - "metro3/pop1/core/core|metro5/pop1/core/core|0" + "metro3/pop1/core/core|metro4/pop1/core/core|0" ] }, "failure_trace": null, @@ -672,9 +672,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro1/pop1/core/core|metro1/dc1/dc/dc|0", "metro1/pop2/core/core|metro1/dc1/dc/dc|0", - "metro2/pop2/core/core|metro2/dc1/dc/dc|0" + "metro2/pop2/core/core|metro2/dc1/dc/dc|0", + "metro1/pop1/core/core|metro1/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -862,12 +862,12 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro1/pop2/core/core|metro5/pop2/core/core|0", "metro2/pop2/core/core|metro3/pop2/core/core|0", - "metro2/pop1/core/core|metro3/pop1/core/core|0", + "metro1/pop1/core/core|metro5/pop1/core/core|0", "metro2/pop1/core/core|metro5/pop1/core/core|0", "metro2/pop2/core/core|metro5/pop2/core/core|0", - "metro1/pop1/core/core|metro5/pop1/core/core|0" + "metro2/pop1/core/core|metro3/pop1/core/core|0", + "metro1/pop2/core/core|metro5/pop2/core/core|0" ] }, "failure_trace": null, @@ -960,10 +960,10 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro3/pop1/core/core|metro4/pop1/core/core|0", - "metro3/pop2/core/core|metro4/pop2/core/core|0", + "metro3/pop1/core/core|metro5/pop1/core/core|0", "metro3/pop2/core/core|metro5/pop2/core/core|0", - "metro3/pop1/core/core|metro5/pop1/core/core|0" + "metro3/pop2/core/core|metro4/pop2/core/core|0", + "metro3/pop1/core/core|metro4/pop1/core/core|0" ] }, "failure_trace": null, @@ -1068,9 +1068,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro2/pop1/core/core|metro2/dc1/dc/dc|0", + "metro2/pop2/core/core|metro2/dc1/dc/dc|0", "metro1/pop1/core/core|metro1/dc1/dc/dc|0", - "metro2/pop2/core/core|metro2/dc1/dc/dc|0" + "metro2/pop1/core/core|metro2/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -1265,8 +1265,8 @@ "excluded_nodes": [], "excluded_links": [ "metro5/pop2/core/core|metro5/dc1/dc/dc|0", - "metro1/pop2/core/core|metro1/dc1/dc/dc|0", - "metro2/pop2/core/core|metro2/dc1/dc/dc|0" + "metro2/pop2/core/core|metro2/dc1/dc/dc|0", + "metro1/pop2/core/core|metro1/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -1472,9 +1472,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro2/pop1/core/core|metro2/dc1/dc/dc|0", "metro5/pop1/core/core|metro5/dc1/dc/dc|0", - "metro1/pop1/core/core|metro1/dc1/dc/dc|0" + "metro1/pop1/core/core|metro1/dc1/dc/dc|0", + "metro2/pop1/core/core|metro2/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -1787,9 +1787,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro5/pop1/core/core|metro5/dc1/dc/dc|0", "metro5/pop2/core/core|metro5/dc1/dc/dc|0", - "metro2/pop2/core/core|metro2/dc1/dc/dc|0" + "metro2/pop2/core/core|metro2/dc1/dc/dc|0", + "metro5/pop1/core/core|metro5/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -2074,9 +2074,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro2/pop1/core/core|metro2/dc1/dc/dc|0", + "metro5/pop2/core/core|metro5/dc1/dc/dc|0", "metro5/pop1/core/core|metro5/dc1/dc/dc|0", - "metro5/pop2/core/core|metro5/dc1/dc/dc|0" + "metro2/pop1/core/core|metro2/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -2163,9 +2163,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro2/pop1/core/core|metro2/dc1/dc/dc|0", "metro1/pop2/core/core|metro1/dc1/dc/dc|0", - "metro2/pop2/core/core|metro2/dc1/dc/dc|0" + "metro2/pop2/core/core|metro2/dc1/dc/dc|0", + "metro2/pop1/core/core|metro2/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -2353,9 +2353,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro2/pop1/core/core|metro2/dc1/dc/dc|0", + "metro1/pop2/core/core|metro1/dc1/dc/dc|0", "metro5/pop1/core/core|metro5/dc1/dc/dc|0", - "metro1/pop2/core/core|metro1/dc1/dc/dc|0" + "metro2/pop1/core/core|metro2/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -2557,9 +2557,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ + "metro1/pop2/core/core|metro1/dc1/dc/dc|0", "metro5/pop1/core/core|metro5/dc1/dc/dc|0", - "metro1/pop1/core/core|metro1/dc1/dc/dc|0", - "metro1/pop2/core/core|metro1/dc1/dc/dc|0" + "metro1/pop1/core/core|metro1/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -2646,9 +2646,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro5/pop1/core/core|metro5/dc1/dc/dc|0", + "metro1/pop2/core/core|metro1/dc1/dc/dc|0", "metro5/pop2/core/core|metro5/dc1/dc/dc|0", - "metro1/pop2/core/core|metro1/dc1/dc/dc|0" + "metro5/pop1/core/core|metro5/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -2735,9 +2735,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ + "metro2/pop2/core/core|metro2/dc1/dc/dc|0", "metro5/pop1/core/core|metro5/dc1/dc/dc|0", - "metro1/pop1/core/core|metro1/dc1/dc/dc|0", - "metro2/pop2/core/core|metro2/dc1/dc/dc|0" + "metro1/pop1/core/core|metro1/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -2836,9 +2836,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro1/pop1/core/core|metro1/dc1/dc/dc|0", "metro5/pop2/core/core|metro5/dc1/dc/dc|0", - "metro2/pop2/core/core|metro2/dc1/dc/dc|0" + "metro2/pop2/core/core|metro2/dc1/dc/dc|0", + "metro1/pop1/core/core|metro1/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -2935,9 +2935,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ + "metro5/pop2/core/core|metro5/dc1/dc/dc|0", "metro5/pop1/core/core|metro5/dc1/dc/dc|0", - "metro1/pop1/core/core|metro1/dc1/dc/dc|0", - "metro5/pop2/core/core|metro5/dc1/dc/dc|0" + "metro1/pop1/core/core|metro1/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -3024,9 +3024,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro2/pop1/core/core|metro2/dc1/dc/dc|0", + "metro1/pop2/core/core|metro1/dc1/dc/dc|0", "metro1/pop1/core/core|metro1/dc1/dc/dc|0", - "metro1/pop2/core/core|metro1/dc1/dc/dc|0" + "metro2/pop1/core/core|metro2/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -3113,9 +3113,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro2/pop1/core/core|metro2/dc1/dc/dc|0", "metro5/pop2/core/core|metro5/dc1/dc/dc|0", - "metro1/pop2/core/core|metro1/dc1/dc/dc|0" + "metro1/pop2/core/core|metro1/dc1/dc/dc|0", + "metro2/pop1/core/core|metro2/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -3214,9 +3214,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro5/pop1/core/core|metro5/dc1/dc/dc|0", "metro1/pop2/core/core|metro1/dc1/dc/dc|0", - "metro2/pop2/core/core|metro2/dc1/dc/dc|0" + "metro2/pop2/core/core|metro2/dc1/dc/dc|0", + "metro5/pop1/core/core|metro5/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -3313,14 +3313,14 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro1/pop2/core/core|metro5/pop2/core/core|0", - "metro1/pop2/core/core|metro2/pop2/core/core|0", + "metro1/pop1/core/core|metro5/pop1/core/core|0", "metro2/pop1/core/core|metro5/pop1/core/core|0", - "metro2/pop2/core/core|metro5/pop2/core/core|0", - "metro1/pop1/core/core|metro2/pop1/core/core|0", - "metro2/pop2/core/core|metro3/pop2/core/core|0", "metro2/pop1/core/core|metro3/pop1/core/core|0", - "metro1/pop1/core/core|metro5/pop1/core/core|0" + "metro1/pop2/core/core|metro2/pop2/core/core|0", + "metro2/pop2/core/core|metro3/pop2/core/core|0", + "metro1/pop1/core/core|metro2/pop1/core/core|0", + "metro2/pop2/core/core|metro5/pop2/core/core|0", + "metro1/pop2/core/core|metro5/pop2/core/core|0" ] }, "failure_trace": null, @@ -3516,9 +3516,9 @@ "excluded_nodes": [], "excluded_links": [ "metro1/pop1/core/core|metro5/pop1/core/core|0", - "metro1/pop2/core/core|metro2/pop2/core/core|0", "metro1/pop2/core/core|metro5/pop2/core/core|0", - "metro1/pop1/core/core|metro2/pop1/core/core|0" + "metro1/pop1/core/core|metro2/pop1/core/core|0", + "metro1/pop2/core/core|metro2/pop2/core/core|0" ] }, "failure_trace": null, @@ -3605,9 +3605,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro2/pop1/core/core|metro2/dc1/dc/dc|0", + "metro5/pop2/core/core|metro5/dc1/dc/dc|0", "metro1/pop1/core/core|metro1/dc1/dc/dc|0", - "metro5/pop2/core/core|metro5/dc1/dc/dc|0" + "metro2/pop1/core/core|metro2/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -3805,9 +3805,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro1/pop1/core/core|metro1/dc1/dc/dc|0", + "metro1/pop2/core/core|metro1/dc1/dc/dc|0", "metro5/pop2/core/core|metro5/dc1/dc/dc|0", - "metro1/pop2/core/core|metro1/dc1/dc/dc|0" + "metro1/pop1/core/core|metro1/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -3894,9 +3894,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro2/pop1/core/core|metro2/dc1/dc/dc|0", "metro5/pop2/core/core|metro5/dc1/dc/dc|0", - "metro2/pop2/core/core|metro2/dc1/dc/dc|0" + "metro2/pop2/core/core|metro2/dc1/dc/dc|0", + "metro2/pop1/core/core|metro2/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -3983,9 +3983,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro2/pop1/core/core|metro2/dc1/dc/dc|0", + "metro2/pop2/core/core|metro2/dc1/dc/dc|0", "metro5/pop1/core/core|metro5/dc1/dc/dc|0", - "metro2/pop2/core/core|metro2/dc1/dc/dc|0" + "metro2/pop1/core/core|metro2/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -4074,7 +4074,7 @@ "include_used_edges": false, "base_demands": [ { - "id": "^metro1/dc1/.*|^metro5/dc1/.*|SqTXpfPTRLKj4JVnM_ut1A", + "id": "^metro1/dc1/.*|^metro5/dc1/.*|FVHv2hJaRgy1JosFP5JWaw", "source": "^metro1/dc1/.*", "target": "^metro5/dc1/.*", "volume": 15000.0, @@ -4088,7 +4088,7 @@ } }, { - "id": "^metro5/dc1/.*|^metro1/dc1/.*|2htfpq0cRDOP5aRkQbzr4g", + "id": "^metro5/dc1/.*|^metro1/dc1/.*|CImWx-TaTaaUoluWkpyJMA", "source": "^metro5/dc1/.*", "target": "^metro1/dc1/.*", "volume": 15000.0, @@ -4102,7 +4102,7 @@ } }, { - "id": "^metro2/dc1/.*|^metro5/dc1/.*|jnnNvf7KSWaMrdrvLUi17w", + "id": "^metro2/dc1/.*|^metro5/dc1/.*|91pB_-PSRVis1f_prAvc7w", "source": "^metro2/dc1/.*", "target": "^metro5/dc1/.*", "volume": 15000.0, @@ -4116,7 +4116,7 @@ } }, { - "id": "^metro5/dc1/.*|^metro2/dc1/.*|42X_jrKcRS2j58n_HwJMEw", + "id": "^metro5/dc1/.*|^metro2/dc1/.*|UD8O2nFzR8S_8YxfR1wK5A", "source": "^metro5/dc1/.*", "target": "^metro2/dc1/.*", "volume": 15000.0, @@ -4130,7 +4130,7 @@ } }, { - "id": "^metro1/dc1/.*|^metro2/dc1/.*|YhbqQ4iqTjqyFB1RVq_O8Q", + "id": "^metro1/dc1/.*|^metro2/dc1/.*|WXkBCkGBQ9WbPHtzzlNB1w", "source": "^metro1/dc1/.*", "target": "^metro2/dc1/.*", "volume": 15000.0, @@ -4144,7 +4144,7 @@ } }, { - "id": "^metro2/dc1/.*|^metro1/dc1/.*|w5PwBwW3QqWXT4d-BJiQRA", + "id": "^metro2/dc1/.*|^metro1/dc1/.*|lzj9pkCeSy2BTxjhe748fQ", "source": "^metro2/dc1/.*", "target": "^metro1/dc1/.*", "volume": 15000.0, @@ -4165,7 +4165,7 @@ }, "cost_power": { "metadata": { - "duration_sec": 0.0001690387725830078 + "duration_sec": 0.00014591217041015625 }, "data": { "context": { @@ -4442,7 +4442,7 @@ "demands": { "baseline_traffic_matrix": [ { - "id": "^metro1/dc1/.*|^metro5/dc1/.*|SqTXpfPTRLKj4JVnM_ut1A", + "id": "^metro1/dc1/.*|^metro5/dc1/.*|FVHv2hJaRgy1JosFP5JWaw", "source": "^metro1/dc1/.*", "target": "^metro5/dc1/.*", "volume": 15000.0, @@ -4456,7 +4456,7 @@ } }, { - "id": "^metro5/dc1/.*|^metro1/dc1/.*|2htfpq0cRDOP5aRkQbzr4g", + "id": "^metro5/dc1/.*|^metro1/dc1/.*|CImWx-TaTaaUoluWkpyJMA", "source": "^metro5/dc1/.*", "target": "^metro1/dc1/.*", "volume": 15000.0, @@ -4470,7 +4470,7 @@ } }, { - "id": "^metro2/dc1/.*|^metro5/dc1/.*|jnnNvf7KSWaMrdrvLUi17w", + "id": "^metro2/dc1/.*|^metro5/dc1/.*|91pB_-PSRVis1f_prAvc7w", "source": "^metro2/dc1/.*", "target": "^metro5/dc1/.*", "volume": 15000.0, @@ -4484,7 +4484,7 @@ } }, { - "id": "^metro5/dc1/.*|^metro2/dc1/.*|42X_jrKcRS2j58n_HwJMEw", + "id": "^metro5/dc1/.*|^metro2/dc1/.*|UD8O2nFzR8S_8YxfR1wK5A", "source": "^metro5/dc1/.*", "target": "^metro2/dc1/.*", "volume": 15000.0, @@ -4498,7 +4498,7 @@ } }, { - "id": "^metro1/dc1/.*|^metro2/dc1/.*|YhbqQ4iqTjqyFB1RVq_O8Q", + "id": "^metro1/dc1/.*|^metro2/dc1/.*|WXkBCkGBQ9WbPHtzzlNB1w", "source": "^metro1/dc1/.*", "target": "^metro2/dc1/.*", "volume": 15000.0, @@ -4512,7 +4512,7 @@ } }, { - "id": "^metro2/dc1/.*|^metro1/dc1/.*|w5PwBwW3QqWXT4d-BJiQRA", + "id": "^metro2/dc1/.*|^metro1/dc1/.*|lzj9pkCeSy2BTxjhe748fQ", "source": "^metro2/dc1/.*", "target": "^metro1/dc1/.*", "volume": 15000.0, @@ -4528,4 +4528,4 @@ ] } } -} \ No newline at end of file +} diff --git a/tests/data/scenarios/small_baseline/small_baseline__seed11/small_baseline__seed11_scenario.yml b/tests/data/scenarios/small_baseline/small_baseline__seed11/small_baseline__seed11_scenario.yml index ff001e4..944323b 100644 --- a/tests/data/scenarios/small_baseline/small_baseline__seed11/small_baseline__seed11_scenario.yml +++ b/tests/data/scenarios/small_baseline/small_baseline__seed11/small_baseline__seed11_scenario.yml @@ -176,6 +176,7 @@ network: - attr: role op: == value: leaf + logic: or target: path: metro1/pop2 match: *id001 @@ -254,9 +255,11 @@ network: source_metro: new-york-jersey-city-newark target_metro: washington-arlington target_capacity: 12800.0 - site_edge: metro1/pop1|metro2/pop1|inter_metro:1-2:1-1 - adjacency_id: inter_metro:1-2 + site_edge: metro1/pop1|metro2/pop1|inter_metro:1-2:path0:1-1 + adjacency_id: inter_metro:1-2:path0 distance_km: 412 + euclidean_km: 329.80891925266354 + detour_ratio: 1.2484239409074376 hardware: source: component: 800G-ZR+ @@ -264,7 +267,7 @@ network: target: component: 800G-ZR+ count: 16.0 - risk_groups: &id005 + risk_groups: - corridor_risk_columbus_new-york-jersey-city-newark - corridor_risk_new-york-jersey-city-newark_washington-arlington - source: @@ -289,9 +292,11 @@ network: source_metro: new-york-jersey-city-newark target_metro: columbus target_capacity: 12800.0 - site_edge: metro1/pop1|metro5/pop1|inter_metro:1-5:1-1 - adjacency_id: inter_metro:1-5 + site_edge: metro1/pop1|metro5/pop1|inter_metro:1-5:path0:1-1 + adjacency_id: inter_metro:1-5:path0 distance_km: 977 + euclidean_km: 747.1357017294783 + detour_ratio: 1.3070646931065415 hardware: source: component: 800G-ZR+ @@ -299,7 +304,7 @@ network: target: component: 800G-ZR+ count: 16.0 - risk_groups: &id006 + risk_groups: - corridor_risk_chicago_washington-arlington - corridor_risk_columbus_new-york-jersey-city-newark - corridor_risk_columbus_washington-arlington @@ -328,7 +333,6 @@ network: target: component: 800G-ZR+ count: 40.0 - # Inter-metro corridors - source: path: metro1/pop2 match: *id003 @@ -343,9 +347,11 @@ network: source_metro: new-york-jersey-city-newark target_metro: washington-arlington target_capacity: 12800.0 - site_edge: metro1/pop2|metro2/pop2|inter_metro:1-2:2-2 - adjacency_id: inter_metro:1-2 + site_edge: metro1/pop2|metro2/pop2|inter_metro:1-2:path0:2-2 + adjacency_id: inter_metro:1-2:path0 distance_km: 412 + euclidean_km: 329.80891925266354 + detour_ratio: 1.2484239409074376 hardware: source: component: 800G-ZR+ @@ -353,7 +359,9 @@ network: target: component: 800G-ZR+ count: 16.0 - risk_groups: *id005 + risk_groups: + - corridor_risk_columbus_new-york-jersey-city-newark + - corridor_risk_new-york-jersey-city-newark_washington-arlington - source: path: metro1/pop2 match: *id004 @@ -368,9 +376,11 @@ network: source_metro: new-york-jersey-city-newark target_metro: columbus target_capacity: 12800.0 - site_edge: metro1/pop2|metro5/pop2|inter_metro:1-5:2-2 - adjacency_id: inter_metro:1-5 + site_edge: metro1/pop2|metro5/pop2|inter_metro:1-5:path0:2-2 + adjacency_id: inter_metro:1-5:path0 distance_km: 977 + euclidean_km: 747.1357017294783 + detour_ratio: 1.3070646931065415 hardware: source: component: 800G-ZR+ @@ -378,10 +388,14 @@ network: target: component: 800G-ZR+ count: 16.0 - risk_groups: *id006 + risk_groups: + - corridor_risk_chicago_washington-arlington + - corridor_risk_columbus_new-york-jersey-city-newark + - corridor_risk_columbus_washington-arlington + - corridor_risk_new-york-jersey-city-newark_washington-arlington - source: path: metro2/pop1 - match: &id007 + match: &id005 conditions: - attr: role op: == @@ -389,9 +403,10 @@ network: - attr: role op: == value: leaf + logic: or target: path: metro2/pop2 - match: *id007 + match: *id005 pattern: one_to_one capacity: 25600.0 cost: 103 @@ -412,7 +427,7 @@ network: count: 32.0 - source: path: metro2/pop1 - match: &id008 + match: &id006 conditions: - attr: role op: == @@ -426,7 +441,7 @@ network: logic: or target: path: metro2/dc1 - match: *id008 + match: *id006 pattern: one_to_one capacity: 38400.0 cost: 1 @@ -447,7 +462,7 @@ network: count: 48.0 - source: path: metro2/pop1 - match: &id009 + match: &id007 conditions: - attr: role op: == @@ -458,7 +473,7 @@ network: logic: or target: path: metro3/pop1 - match: *id009 + match: *id007 pattern: one_to_one capacity: 3200.0 cost: 1261 @@ -467,9 +482,11 @@ network: source_metro: washington-arlington target_metro: chicago target_capacity: 3200.0 - site_edge: metro2/pop1|metro3/pop1|inter_metro:2-3:1-1 - adjacency_id: inter_metro:2-3 + site_edge: metro2/pop1|metro3/pop1|inter_metro:2-3:path0:1-1 + adjacency_id: inter_metro:2-3:path0 distance_km: 1261 + euclidean_km: 962.0849480451766 + detour_ratio: 1.3098725226374546 hardware: source: component: 800G-ZR+ @@ -477,13 +494,13 @@ network: target: component: 800G-ZR+ count: 4.0 - risk_groups: &id012 + risk_groups: - corridor_risk_chicago_washington-arlington - corridor_risk_columbus_new-york-jersey-city-newark - corridor_risk_columbus_washington-arlington - source: path: metro2/pop1 - match: &id010 + match: &id008 conditions: - attr: role op: == @@ -494,7 +511,7 @@ network: logic: or target: path: metro4/pop1 - match: *id010 + match: *id008 pattern: one_to_one capacity: 3200.0 cost: 1216 @@ -503,9 +520,11 @@ network: source_metro: washington-arlington target_metro: atlanta target_capacity: 3200.0 - site_edge: metro2/pop1|metro4/pop1|inter_metro:2-4:1-1 - adjacency_id: inter_metro:2-4 + site_edge: metro2/pop1|metro4/pop1|inter_metro:2-4:path0:1-1 + adjacency_id: inter_metro:2-4:path0 distance_km: 1216 + euclidean_km: 861.267572704122 + detour_ratio: 1.4113975069243747 hardware: source: component: 800G-ZR+ @@ -513,11 +532,11 @@ network: target: component: 800G-ZR+ count: 4.0 - risk_groups: &id013 + risk_groups: - corridor_risk_atlanta_washington-arlington - source: path: metro2/pop1 - match: &id011 + match: &id009 conditions: - attr: role op: == @@ -528,7 +547,7 @@ network: logic: or target: path: metro5/pop1 - match: *id011 + match: *id009 pattern: one_to_one capacity: 12800.0 cost: 733 @@ -537,9 +556,11 @@ network: source_metro: washington-arlington target_metro: columbus target_capacity: 12800.0 - site_edge: metro2/pop1|metro5/pop1|inter_metro:2-5:1-1 - adjacency_id: inter_metro:2-5 + site_edge: metro2/pop1|metro5/pop1|inter_metro:2-5:path0:1-1 + adjacency_id: inter_metro:2-5:path0 distance_km: 733 + euclidean_km: 507.67314955219973 + detour_ratio: 1.44331128980949 hardware: source: component: 800G-ZR+ @@ -547,16 +568,16 @@ network: target: component: 800G-ZR+ count: 16.0 - risk_groups: &id014 + risk_groups: - corridor_risk_chicago_washington-arlington - corridor_risk_columbus_new-york-jersey-city-newark - corridor_risk_columbus_washington-arlington - source: path: metro2/pop2 - match: *id008 + match: *id006 target: path: metro2/dc1 - match: *id008 + match: *id006 pattern: one_to_one capacity: 38400.0 cost: 103 @@ -577,10 +598,10 @@ network: count: 48.0 - source: path: metro2/pop2 - match: *id009 + match: *id007 target: path: metro3/pop2 - match: *id009 + match: *id007 pattern: one_to_one capacity: 3200.0 cost: 1261 @@ -589,9 +610,11 @@ network: source_metro: washington-arlington target_metro: chicago target_capacity: 3200.0 - site_edge: metro2/pop2|metro3/pop2|inter_metro:2-3:2-2 - adjacency_id: inter_metro:2-3 + site_edge: metro2/pop2|metro3/pop2|inter_metro:2-3:path0:2-2 + adjacency_id: inter_metro:2-3:path0 distance_km: 1261 + euclidean_km: 962.0849480451766 + detour_ratio: 1.3098725226374546 hardware: source: component: 800G-ZR+ @@ -599,13 +622,16 @@ network: target: component: 800G-ZR+ count: 4.0 - risk_groups: *id012 + risk_groups: + - corridor_risk_chicago_washington-arlington + - corridor_risk_columbus_new-york-jersey-city-newark + - corridor_risk_columbus_washington-arlington - source: path: metro2/pop2 - match: *id010 + match: *id008 target: path: metro4/pop2 - match: *id010 + match: *id008 pattern: one_to_one capacity: 3200.0 cost: 1216 @@ -614,9 +640,11 @@ network: source_metro: washington-arlington target_metro: atlanta target_capacity: 3200.0 - site_edge: metro2/pop2|metro4/pop2|inter_metro:2-4:2-2 - adjacency_id: inter_metro:2-4 + site_edge: metro2/pop2|metro4/pop2|inter_metro:2-4:path0:2-2 + adjacency_id: inter_metro:2-4:path0 distance_km: 1216 + euclidean_km: 861.267572704122 + detour_ratio: 1.4113975069243747 hardware: source: component: 800G-ZR+ @@ -624,13 +652,14 @@ network: target: component: 800G-ZR+ count: 4.0 - risk_groups: *id013 + risk_groups: + - corridor_risk_atlanta_washington-arlington - source: path: metro2/pop2 - match: *id011 + match: *id009 target: path: metro5/pop2 - match: *id011 + match: *id009 pattern: one_to_one capacity: 12800.0 cost: 733 @@ -639,9 +668,11 @@ network: source_metro: washington-arlington target_metro: columbus target_capacity: 12800.0 - site_edge: metro2/pop2|metro5/pop2|inter_metro:2-5:2-2 - adjacency_id: inter_metro:2-5 + site_edge: metro2/pop2|metro5/pop2|inter_metro:2-5:path0:2-2 + adjacency_id: inter_metro:2-5:path0 distance_km: 733 + euclidean_km: 507.67314955219973 + detour_ratio: 1.44331128980949 hardware: source: component: 800G-ZR+ @@ -649,10 +680,13 @@ network: target: component: 800G-ZR+ count: 16.0 - risk_groups: *id014 + risk_groups: + - corridor_risk_chicago_washington-arlington + - corridor_risk_columbus_new-york-jersey-city-newark + - corridor_risk_columbus_washington-arlington - source: path: metro3/pop1 - match: &id015 + match: &id010 conditions: - attr: role op: == @@ -660,9 +694,10 @@ network: - attr: role op: == value: leaf + logic: or target: path: metro3/pop2 - match: *id015 + match: *id010 pattern: one_to_one capacity: 12800.0 cost: 138 @@ -683,7 +718,7 @@ network: count: 16.0 - source: path: metro3/pop1 - match: &id016 + match: &id011 conditions: - attr: role op: == @@ -694,7 +729,7 @@ network: logic: or target: path: metro5/pop1 - match: *id016 + match: *id011 pattern: one_to_one capacity: 3200.0 cost: 658 @@ -703,9 +738,11 @@ network: source_metro: chicago target_metro: columbus target_capacity: 3200.0 - site_edge: metro3/pop1|metro5/pop1|inter_metro:3-5:1-1 - adjacency_id: inter_metro:3-5 + site_edge: metro3/pop1|metro5/pop1|inter_metro:3-5:path0:1-1 + adjacency_id: inter_metro:3-5:path0 distance_km: 658 + euclidean_km: 463.6395625132306 + detour_ratio: 1.418606990859309 hardware: source: component: 800G-ZR+ @@ -713,12 +750,12 @@ network: target: component: 800G-ZR+ count: 4.0 - risk_groups: &id018 + risk_groups: - corridor_risk_atlanta_chicago - corridor_risk_chicago_columbus - source: path: metro3/pop1 - match: &id017 + match: &id012 conditions: - attr: role op: == @@ -729,7 +766,7 @@ network: logic: or target: path: metro4/pop1 - match: *id017 + match: *id012 pattern: one_to_one capacity: 3200.0 cost: 1302 @@ -738,9 +775,11 @@ network: source_metro: chicago target_metro: atlanta target_capacity: 3200.0 - site_edge: metro3/pop1|metro4/pop1|inter_metro:3-4:1-1 - adjacency_id: inter_metro:3-4 + site_edge: metro3/pop1|metro4/pop1|inter_metro:3-4:path0:1-1 + adjacency_id: inter_metro:3-4:path0 distance_km: 1302 + euclidean_km: 962.0999146161588 + detour_ratio: 1.3528437249287772 hardware: source: component: 800G-ZR+ @@ -748,16 +787,16 @@ network: target: component: 800G-ZR+ count: 4.0 - risk_groups: &id019 + risk_groups: - corridor_risk_atlanta_chicago - corridor_risk_atlanta_columbus - corridor_risk_chicago_columbus - source: path: metro3/pop2 - match: *id016 + match: *id011 target: path: metro5/pop2 - match: *id016 + match: *id011 pattern: one_to_one capacity: 3200.0 cost: 658 @@ -766,9 +805,11 @@ network: source_metro: chicago target_metro: columbus target_capacity: 3200.0 - site_edge: metro3/pop2|metro5/pop2|inter_metro:3-5:2-2 - adjacency_id: inter_metro:3-5 + site_edge: metro3/pop2|metro5/pop2|inter_metro:3-5:path0:2-2 + adjacency_id: inter_metro:3-5:path0 distance_km: 658 + euclidean_km: 463.6395625132306 + detour_ratio: 1.418606990859309 hardware: source: component: 800G-ZR+ @@ -776,13 +817,15 @@ network: target: component: 800G-ZR+ count: 4.0 - risk_groups: *id018 + risk_groups: + - corridor_risk_atlanta_chicago + - corridor_risk_chicago_columbus - source: path: metro3/pop2 - match: *id017 + match: *id012 target: path: metro4/pop2 - match: *id017 + match: *id012 pattern: one_to_one capacity: 3200.0 cost: 1302 @@ -791,9 +834,11 @@ network: source_metro: chicago target_metro: atlanta target_capacity: 3200.0 - site_edge: metro3/pop2|metro4/pop2|inter_metro:3-4:2-2 - adjacency_id: inter_metro:3-4 + site_edge: metro3/pop2|metro4/pop2|inter_metro:3-4:path0:2-2 + adjacency_id: inter_metro:3-4:path0 distance_km: 1302 + euclidean_km: 962.0999146161588 + detour_ratio: 1.3528437249287772 hardware: source: component: 800G-ZR+ @@ -801,10 +846,13 @@ network: target: component: 800G-ZR+ count: 4.0 - risk_groups: *id019 + risk_groups: + - corridor_risk_atlanta_chicago + - corridor_risk_atlanta_columbus + - corridor_risk_chicago_columbus - source: path: metro4/pop1 - match: &id020 + match: &id013 conditions: - attr: role op: == @@ -812,9 +860,10 @@ network: - attr: role op: == value: leaf + logic: or target: path: metro4/pop2 - match: *id020 + match: *id013 pattern: one_to_one capacity: 12800.0 cost: 142 @@ -835,7 +884,7 @@ network: count: 16.0 - source: path: metro4/pop1 - match: &id021 + match: &id014 conditions: - attr: role op: == @@ -846,7 +895,7 @@ network: logic: or target: path: metro5/pop1 - match: *id021 + match: *id014 pattern: one_to_one capacity: 3200.0 cost: 1028 @@ -855,9 +904,11 @@ network: source_metro: atlanta target_metro: columbus target_capacity: 3200.0 - site_edge: metro4/pop1|metro5/pop1|inter_metro:4-5:1-1 - adjacency_id: inter_metro:4-5 + site_edge: metro4/pop1|metro5/pop1|inter_metro:4-5:path0:1-1 + adjacency_id: inter_metro:4-5:path0 distance_km: 1028 + euclidean_km: 713.256465952325 + detour_ratio: 1.439960594262943 hardware: source: component: 800G-ZR+ @@ -865,15 +916,15 @@ network: target: component: 800G-ZR+ count: 4.0 - risk_groups: &id022 + risk_groups: - corridor_risk_atlanta_chicago - corridor_risk_atlanta_columbus - source: path: metro4/pop2 - match: *id021 + match: *id014 target: path: metro5/pop2 - match: *id021 + match: *id014 pattern: one_to_one capacity: 3200.0 cost: 1028 @@ -882,9 +933,11 @@ network: source_metro: atlanta target_metro: columbus target_capacity: 3200.0 - site_edge: metro4/pop2|metro5/pop2|inter_metro:4-5:2-2 - adjacency_id: inter_metro:4-5 + site_edge: metro4/pop2|metro5/pop2|inter_metro:4-5:path0:2-2 + adjacency_id: inter_metro:4-5:path0 distance_km: 1028 + euclidean_km: 713.256465952325 + detour_ratio: 1.439960594262943 hardware: source: component: 800G-ZR+ @@ -892,10 +945,12 @@ network: target: component: 800G-ZR+ count: 4.0 - risk_groups: *id022 + risk_groups: + - corridor_risk_atlanta_chicago + - corridor_risk_atlanta_columbus - source: path: metro5/pop1 - match: &id023 + match: &id015 conditions: - attr: role op: == @@ -903,9 +958,10 @@ network: - attr: role op: == value: leaf + logic: or target: path: metro5/pop2 - match: *id023 + match: *id015 pattern: one_to_one capacity: 25600.0 cost: 65 @@ -926,7 +982,7 @@ network: count: 32.0 - source: path: metro5/pop1 - match: &id024 + match: &id016 conditions: - attr: role op: == @@ -940,7 +996,7 @@ network: logic: or target: path: metro5/dc1 - match: *id024 + match: *id016 pattern: one_to_one capacity: 38400.0 cost: 1 @@ -961,10 +1017,10 @@ network: count: 48.0 - source: path: metro5/pop2 - match: *id024 + match: *id016 target: path: metro5/dc1 - match: *id024 + match: *id016 pattern: one_to_one capacity: 38400.0 cost: 65 diff --git a/tests/data/scenarios/small_baseline/small_baseline__seed12/small_baseline__seed12_scenario.results.json b/tests/data/scenarios/small_baseline/small_baseline__seed12/small_baseline__seed12_scenario.results.json index b49503b..d302fc5 100644 --- a/tests/data/scenarios/small_baseline/small_baseline__seed12/small_baseline__seed12_scenario.results.json +++ b/tests/data/scenarios/small_baseline/small_baseline__seed12/small_baseline__seed12_scenario.results.json @@ -36,7 +36,7 @@ "steps": { "network_statistics": { "metadata": { - "duration_sec": 0.0001590251922607422 + "duration_sec": 6.508827209472656e-05 }, "data": { "node_count": 13, @@ -58,7 +58,7 @@ }, "msd_baseline": { "metadata": { - "duration_sec": 0.0023212432861328125 + "duration_sec": 0.0009520053863525391 }, "data": { "alpha_star": 1.6875, @@ -74,7 +74,7 @@ }, "base_demands": [ { - "id": "^metro1/dc1/.*|^metro2/dc1/.*|Jr7kDjZAR52cPhqyyJSSxw", + "id": "^metro1/dc1/.*|^metro2/dc1/.*|H6_ArzSYSCiJi0x-U9wWng", "source": "^metro1/dc1/.*", "target": "^metro2/dc1/.*", "volume": 15000.0, @@ -88,7 +88,7 @@ } }, { - "id": "^metro2/dc1/.*|^metro1/dc1/.*|WYgEonn8RNiIebGjsrzvxg", + "id": "^metro2/dc1/.*|^metro1/dc1/.*|zOGmjKECSqGIp51fHWuSIg", "source": "^metro2/dc1/.*", "target": "^metro1/dc1/.*", "volume": 15000.0, @@ -102,7 +102,7 @@ } }, { - "id": "^metro2/dc1/.*|^metro5/dc1/.*|Edi6X3QVQASD57aUcd3nYw", + "id": "^metro2/dc1/.*|^metro5/dc1/.*|x89yPQgwSqqSykQEZboDlQ", "source": "^metro2/dc1/.*", "target": "^metro5/dc1/.*", "volume": 15000.0, @@ -116,7 +116,7 @@ } }, { - "id": "^metro5/dc1/.*|^metro2/dc1/.*|3oGm_3DUTtW-QuIVSh9HYg", + "id": "^metro5/dc1/.*|^metro2/dc1/.*|RMTWknbkSGWpkSZluj9W7g", "source": "^metro5/dc1/.*", "target": "^metro2/dc1/.*", "volume": 15000.0, @@ -130,7 +130,7 @@ } }, { - "id": "^metro1/dc1/.*|^metro5/dc1/.*|O38gvdCxSPGeEPs3kbtlBg", + "id": "^metro1/dc1/.*|^metro5/dc1/.*|BSEuMn-wQH66u2R_XgthAg", "source": "^metro1/dc1/.*", "target": "^metro5/dc1/.*", "volume": 15000.0, @@ -144,7 +144,7 @@ } }, { - "id": "^metro5/dc1/.*|^metro1/dc1/.*|G6q2ANOaRMuYrHXe5Z-1Dg", + "id": "^metro5/dc1/.*|^metro1/dc1/.*|ndgjYGGjRSC6CrB9nc5RtQ", "source": "^metro5/dc1/.*", "target": "^metro1/dc1/.*", "volume": 15000.0, @@ -203,7 +203,7 @@ "parallelism": 7, "analysis_function": "demand_placement_analysis", "policy_name": "mc_baseline", - "execution_time": 0.012784957885742188, + "execution_time": 0.012134075164794922, "unique_patterns": 38, "occurrence_counts": [ 98, @@ -245,7 +245,7 @@ 12, 13 ], - "duration_sec": 0.025259017944335938 + "duration_sec": 0.022149085998535156 }, "data": { "baseline": { @@ -652,9 +652,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro5/pop2/core/core|metro5/dc1/dc/dc|0", "metro2/pop1/core/core|metro2/dc1/dc/dc|0", - "metro1/pop2/core/core|metro1/dc1/dc/dc|0" + "metro1/pop2/core/core|metro1/dc1/dc/dc|0", + "metro5/pop2/core/core|metro5/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -852,10 +852,10 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro3/pop2/core/core|metro5/pop2/core/core|0", "metro3/pop2/core/core|metro4/pop2/core/core|0", + "metro3/pop1/core/core|metro4/pop1/core/core|0", "metro3/pop1/core/core|metro5/pop1/core/core|0", - "metro3/pop1/core/core|metro4/pop1/core/core|0" + "metro3/pop2/core/core|metro5/pop2/core/core|0" ] }, "failure_trace": null, @@ -954,10 +954,10 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro4/pop1/core/core|metro5/pop1/core/core|0", - "metro4/pop2/core/core|metro5/pop2/core/core|0", "metro3/pop2/core/core|metro4/pop2/core/core|0", - "metro3/pop1/core/core|metro4/pop1/core/core|0" + "metro4/pop2/core/core|metro5/pop2/core/core|0", + "metro3/pop1/core/core|metro4/pop1/core/core|0", + "metro4/pop1/core/core|metro5/pop1/core/core|0" ] }, "failure_trace": null, @@ -1056,9 +1056,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro5/pop2/core/core|metro5/dc1/dc/dc|0", + "metro2/pop2/core/core|metro2/dc1/dc/dc|0", "metro2/pop1/core/core|metro2/dc1/dc/dc|0", - "metro2/pop2/core/core|metro2/dc1/dc/dc|0" + "metro5/pop2/core/core|metro5/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -1145,9 +1145,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ + "metro5/pop1/core/core|metro5/dc1/dc/dc|0", "metro2/pop1/core/core|metro2/dc1/dc/dc|0", - "metro1/pop1/core/core|metro1/dc1/dc/dc|0", - "metro5/pop1/core/core|metro5/dc1/dc/dc|0" + "metro1/pop1/core/core|metro1/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -1244,9 +1244,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro5/pop2/core/core|metro5/dc1/dc/dc|0", + "metro5/pop1/core/core|metro5/dc1/dc/dc|0", "metro2/pop1/core/core|metro2/dc1/dc/dc|0", - "metro5/pop1/core/core|metro5/dc1/dc/dc|0" + "metro5/pop2/core/core|metro5/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -1333,14 +1333,14 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro2/pop2/core/core|metro5/pop2/core/core|0", - "metro2/pop2/core/core|metro3/pop2/core/core|0", - "metro1/pop2/core/core|metro5/pop2/core/core|0", "metro1/pop1/core/core|metro5/pop1/core/core|0", - "metro2/pop1/core/core|metro3/pop1/core/core|0", + "metro2/pop2/core/core|metro3/pop2/core/core|0", "metro1/pop2/core/core|metro2/pop2/core/core|0", + "metro1/pop1/core/core|metro2/pop1/core/core|0", + "metro2/pop1/core/core|metro3/pop1/core/core|0", + "metro1/pop2/core/core|metro5/pop2/core/core|0", "metro2/pop1/core/core|metro5/pop1/core/core|0", - "metro1/pop1/core/core|metro2/pop1/core/core|0" + "metro2/pop2/core/core|metro5/pop2/core/core|0" ] }, "failure_trace": null, @@ -1427,9 +1427,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro1/pop2/core/core|metro1/dc1/dc/dc|0", "metro2/pop2/core/core|metro2/dc1/dc/dc|0", - "metro5/pop1/core/core|metro5/dc1/dc/dc|0" + "metro5/pop1/core/core|metro5/dc1/dc/dc|0", + "metro1/pop2/core/core|metro1/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -1526,9 +1526,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ + "metro5/pop1/core/core|metro5/dc1/dc/dc|0", "metro5/pop2/core/core|metro5/dc1/dc/dc|0", - "metro1/pop1/core/core|metro1/dc1/dc/dc|0", - "metro5/pop1/core/core|metro5/dc1/dc/dc|0" + "metro1/pop1/core/core|metro1/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -1716,9 +1716,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro1/pop2/core/core|metro1/dc1/dc/dc|0", + "metro2/pop2/core/core|metro2/dc1/dc/dc|0", "metro2/pop1/core/core|metro2/dc1/dc/dc|0", - "metro2/pop2/core/core|metro2/dc1/dc/dc|0" + "metro1/pop2/core/core|metro1/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -1805,12 +1805,12 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro2/pop2/core/core|metro5/pop2/core/core|0", + "metro1/pop1/core/core|metro5/pop1/core/core|0", "metro2/pop1/core/core|metro3/pop1/core/core|0", - "metro2/pop2/core/core|metro3/pop2/core/core|0", "metro1/pop2/core/core|metro5/pop2/core/core|0", "metro2/pop1/core/core|metro5/pop1/core/core|0", - "metro1/pop1/core/core|metro5/pop1/core/core|0" + "metro2/pop2/core/core|metro3/pop2/core/core|0", + "metro2/pop2/core/core|metro5/pop2/core/core|0" ] }, "failure_trace": null, @@ -1903,9 +1903,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ + "metro2/pop1/core/core|metro2/dc1/dc/dc|0", "metro1/pop2/core/core|metro1/dc1/dc/dc|0", - "metro1/pop1/core/core|metro1/dc1/dc/dc|0", - "metro2/pop1/core/core|metro2/dc1/dc/dc|0" + "metro1/pop1/core/core|metro1/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -1992,9 +1992,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro5/pop2/core/core|metro5/dc1/dc/dc|0", + "metro5/pop1/core/core|metro5/dc1/dc/dc|0", "metro1/pop2/core/core|metro1/dc1/dc/dc|0", - "metro5/pop1/core/core|metro5/dc1/dc/dc|0" + "metro5/pop2/core/core|metro5/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -2385,9 +2385,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro1/pop1/core/core|metro1/dc1/dc/dc|0", + "metro5/pop1/core/core|metro5/dc1/dc/dc|0", "metro1/pop2/core/core|metro1/dc1/dc/dc|0", - "metro5/pop1/core/core|metro5/dc1/dc/dc|0" + "metro1/pop1/core/core|metro1/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -2475,11 +2475,11 @@ "excluded_nodes": [], "excluded_links": [ "metro4/pop1/core/core|metro5/pop1/core/core|0", + "metro3/pop2/core/core|metro5/pop2/core/core|0", "metro3/pop2/core/core|metro4/pop2/core/core|0", "metro4/pop2/core/core|metro5/pop2/core/core|0", - "metro3/pop2/core/core|metro5/pop2/core/core|0", - "metro3/pop1/core/core|metro5/pop1/core/core|0", - "metro3/pop1/core/core|metro4/pop1/core/core|0" + "metro3/pop1/core/core|metro4/pop1/core/core|0", + "metro3/pop1/core/core|metro5/pop1/core/core|0" ] }, "failure_trace": null, @@ -2578,9 +2578,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro1/pop2/core/core|metro1/dc1/dc/dc|0", + "metro5/pop1/core/core|metro5/dc1/dc/dc|0", "metro2/pop1/core/core|metro2/dc1/dc/dc|0", - "metro5/pop1/core/core|metro5/dc1/dc/dc|0" + "metro1/pop2/core/core|metro1/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -2677,9 +2677,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro1/pop1/core/core|metro1/dc1/dc/dc|0", "metro2/pop2/core/core|metro2/dc1/dc/dc|0", - "metro5/pop1/core/core|metro5/dc1/dc/dc|0" + "metro5/pop1/core/core|metro5/dc1/dc/dc|0", + "metro1/pop1/core/core|metro1/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -2776,8 +2776,8 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro5/pop2/core/core|metro5/dc1/dc/dc|0", "metro2/pop1/core/core|metro2/dc1/dc/dc|0", + "metro5/pop2/core/core|metro5/dc1/dc/dc|0", "metro1/pop1/core/core|metro1/dc1/dc/dc|0" ] }, @@ -2974,9 +2974,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro5/pop2/core/core|metro5/dc1/dc/dc|0", + "metro2/pop2/core/core|metro2/dc1/dc/dc|0", "metro1/pop2/core/core|metro1/dc1/dc/dc|0", - "metro2/pop2/core/core|metro2/dc1/dc/dc|0" + "metro5/pop2/core/core|metro5/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -3163,9 +3163,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro5/pop2/core/core|metro5/dc1/dc/dc|0", "metro2/pop2/core/core|metro2/dc1/dc/dc|0", - "metro5/pop1/core/core|metro5/dc1/dc/dc|0" + "metro5/pop1/core/core|metro5/dc1/dc/dc|0", + "metro5/pop2/core/core|metro5/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -3252,9 +3252,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ + "metro2/pop2/core/core|metro2/dc1/dc/dc|0", "metro5/pop2/core/core|metro5/dc1/dc/dc|0", - "metro1/pop1/core/core|metro1/dc1/dc/dc|0", - "metro2/pop2/core/core|metro2/dc1/dc/dc|0" + "metro1/pop1/core/core|metro1/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -3452,9 +3452,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ + "metro1/pop2/core/core|metro1/dc1/dc/dc|0", "metro5/pop2/core/core|metro5/dc1/dc/dc|0", - "metro1/pop1/core/core|metro1/dc1/dc/dc|0", - "metro1/pop2/core/core|metro1/dc1/dc/dc|0" + "metro1/pop1/core/core|metro1/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -3640,9 +3640,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro2/pop1/core/core|metro2/dc1/dc/dc|0", "metro2/pop2/core/core|metro2/dc1/dc/dc|0", - "metro5/pop1/core/core|metro5/dc1/dc/dc|0" + "metro5/pop1/core/core|metro5/dc1/dc/dc|0", + "metro2/pop1/core/core|metro2/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -3830,9 +3830,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro1/pop1/core/core|metro1/dc1/dc/dc|0", + "metro2/pop2/core/core|metro2/dc1/dc/dc|0", "metro2/pop1/core/core|metro2/dc1/dc/dc|0", - "metro2/pop2/core/core|metro2/dc1/dc/dc|0" + "metro1/pop1/core/core|metro1/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -3919,9 +3919,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro1/pop1/core/core|metro1/dc1/dc/dc|0", + "metro2/pop2/core/core|metro2/dc1/dc/dc|0", "metro1/pop2/core/core|metro1/dc1/dc/dc|0", - "metro2/pop2/core/core|metro2/dc1/dc/dc|0" + "metro1/pop1/core/core|metro1/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -4010,7 +4010,7 @@ "include_used_edges": false, "base_demands": [ { - "id": "^metro1/dc1/.*|^metro2/dc1/.*|Jr7kDjZAR52cPhqyyJSSxw", + "id": "^metro1/dc1/.*|^metro2/dc1/.*|H6_ArzSYSCiJi0x-U9wWng", "source": "^metro1/dc1/.*", "target": "^metro2/dc1/.*", "volume": 15000.0, @@ -4024,7 +4024,7 @@ } }, { - "id": "^metro2/dc1/.*|^metro1/dc1/.*|WYgEonn8RNiIebGjsrzvxg", + "id": "^metro2/dc1/.*|^metro1/dc1/.*|zOGmjKECSqGIp51fHWuSIg", "source": "^metro2/dc1/.*", "target": "^metro1/dc1/.*", "volume": 15000.0, @@ -4038,7 +4038,7 @@ } }, { - "id": "^metro2/dc1/.*|^metro5/dc1/.*|Edi6X3QVQASD57aUcd3nYw", + "id": "^metro2/dc1/.*|^metro5/dc1/.*|x89yPQgwSqqSykQEZboDlQ", "source": "^metro2/dc1/.*", "target": "^metro5/dc1/.*", "volume": 15000.0, @@ -4052,7 +4052,7 @@ } }, { - "id": "^metro5/dc1/.*|^metro2/dc1/.*|3oGm_3DUTtW-QuIVSh9HYg", + "id": "^metro5/dc1/.*|^metro2/dc1/.*|RMTWknbkSGWpkSZluj9W7g", "source": "^metro5/dc1/.*", "target": "^metro2/dc1/.*", "volume": 15000.0, @@ -4066,7 +4066,7 @@ } }, { - "id": "^metro1/dc1/.*|^metro5/dc1/.*|O38gvdCxSPGeEPs3kbtlBg", + "id": "^metro1/dc1/.*|^metro5/dc1/.*|BSEuMn-wQH66u2R_XgthAg", "source": "^metro1/dc1/.*", "target": "^metro5/dc1/.*", "volume": 15000.0, @@ -4080,7 +4080,7 @@ } }, { - "id": "^metro5/dc1/.*|^metro1/dc1/.*|G6q2ANOaRMuYrHXe5Z-1Dg", + "id": "^metro5/dc1/.*|^metro1/dc1/.*|ndgjYGGjRSC6CrB9nc5RtQ", "source": "^metro5/dc1/.*", "target": "^metro1/dc1/.*", "volume": 15000.0, @@ -4101,7 +4101,7 @@ }, "cost_power": { "metadata": { - "duration_sec": 0.0001881122589111328 + "duration_sec": 0.00017690658569335938 }, "data": { "context": { @@ -4378,7 +4378,7 @@ "demands": { "baseline_traffic_matrix": [ { - "id": "^metro1/dc1/.*|^metro2/dc1/.*|Jr7kDjZAR52cPhqyyJSSxw", + "id": "^metro1/dc1/.*|^metro2/dc1/.*|H6_ArzSYSCiJi0x-U9wWng", "source": "^metro1/dc1/.*", "target": "^metro2/dc1/.*", "volume": 15000.0, @@ -4392,7 +4392,7 @@ } }, { - "id": "^metro2/dc1/.*|^metro1/dc1/.*|WYgEonn8RNiIebGjsrzvxg", + "id": "^metro2/dc1/.*|^metro1/dc1/.*|zOGmjKECSqGIp51fHWuSIg", "source": "^metro2/dc1/.*", "target": "^metro1/dc1/.*", "volume": 15000.0, @@ -4406,7 +4406,7 @@ } }, { - "id": "^metro2/dc1/.*|^metro5/dc1/.*|Edi6X3QVQASD57aUcd3nYw", + "id": "^metro2/dc1/.*|^metro5/dc1/.*|x89yPQgwSqqSykQEZboDlQ", "source": "^metro2/dc1/.*", "target": "^metro5/dc1/.*", "volume": 15000.0, @@ -4420,7 +4420,7 @@ } }, { - "id": "^metro5/dc1/.*|^metro2/dc1/.*|3oGm_3DUTtW-QuIVSh9HYg", + "id": "^metro5/dc1/.*|^metro2/dc1/.*|RMTWknbkSGWpkSZluj9W7g", "source": "^metro5/dc1/.*", "target": "^metro2/dc1/.*", "volume": 15000.0, @@ -4434,7 +4434,7 @@ } }, { - "id": "^metro1/dc1/.*|^metro5/dc1/.*|O38gvdCxSPGeEPs3kbtlBg", + "id": "^metro1/dc1/.*|^metro5/dc1/.*|BSEuMn-wQH66u2R_XgthAg", "source": "^metro1/dc1/.*", "target": "^metro5/dc1/.*", "volume": 15000.0, @@ -4448,7 +4448,7 @@ } }, { - "id": "^metro5/dc1/.*|^metro1/dc1/.*|G6q2ANOaRMuYrHXe5Z-1Dg", + "id": "^metro5/dc1/.*|^metro1/dc1/.*|ndgjYGGjRSC6CrB9nc5RtQ", "source": "^metro5/dc1/.*", "target": "^metro1/dc1/.*", "volume": 15000.0, @@ -4464,4 +4464,4 @@ ] } } -} \ No newline at end of file +} diff --git a/tests/data/scenarios/small_baseline/small_baseline__seed12/small_baseline__seed12_scenario.yml b/tests/data/scenarios/small_baseline/small_baseline__seed12/small_baseline__seed12_scenario.yml index 26a9948..379b53f 100644 --- a/tests/data/scenarios/small_baseline/small_baseline__seed12/small_baseline__seed12_scenario.yml +++ b/tests/data/scenarios/small_baseline/small_baseline__seed12/small_baseline__seed12_scenario.yml @@ -176,6 +176,7 @@ network: - attr: role op: == value: leaf + logic: or target: path: metro1/pop2 match: *id001 @@ -254,9 +255,11 @@ network: source_metro: new-york-jersey-city-newark target_metro: washington-arlington target_capacity: 12800.0 - site_edge: metro1/pop1|metro2/pop1|inter_metro:1-2:1-1 - adjacency_id: inter_metro:1-2 + site_edge: metro1/pop1|metro2/pop1|inter_metro:1-2:path0:1-1 + adjacency_id: inter_metro:1-2:path0 distance_km: 412 + euclidean_km: 329.80891925266354 + detour_ratio: 1.2484239409074376 hardware: source: component: 800G-ZR+ @@ -264,7 +267,7 @@ network: target: component: 800G-ZR+ count: 16.0 - risk_groups: &id005 + risk_groups: - corridor_risk_columbus_new-york-jersey-city-newark - corridor_risk_new-york-jersey-city-newark_washington-arlington - source: @@ -289,9 +292,11 @@ network: source_metro: new-york-jersey-city-newark target_metro: columbus target_capacity: 12800.0 - site_edge: metro1/pop1|metro5/pop1|inter_metro:1-5:1-1 - adjacency_id: inter_metro:1-5 + site_edge: metro1/pop1|metro5/pop1|inter_metro:1-5:path0:1-1 + adjacency_id: inter_metro:1-5:path0 distance_km: 977 + euclidean_km: 747.1357017294783 + detour_ratio: 1.3070646931065415 hardware: source: component: 800G-ZR+ @@ -299,7 +304,7 @@ network: target: component: 800G-ZR+ count: 16.0 - risk_groups: &id006 + risk_groups: - corridor_risk_chicago_washington-arlington - corridor_risk_columbus_new-york-jersey-city-newark - corridor_risk_columbus_washington-arlington @@ -328,7 +333,6 @@ network: target: component: 800G-ZR+ count: 40.0 - # Inter-metro corridors - source: path: metro1/pop2 match: *id003 @@ -343,9 +347,11 @@ network: source_metro: new-york-jersey-city-newark target_metro: washington-arlington target_capacity: 12800.0 - site_edge: metro1/pop2|metro2/pop2|inter_metro:1-2:2-2 - adjacency_id: inter_metro:1-2 + site_edge: metro1/pop2|metro2/pop2|inter_metro:1-2:path0:2-2 + adjacency_id: inter_metro:1-2:path0 distance_km: 412 + euclidean_km: 329.80891925266354 + detour_ratio: 1.2484239409074376 hardware: source: component: 800G-ZR+ @@ -353,7 +359,9 @@ network: target: component: 800G-ZR+ count: 16.0 - risk_groups: *id005 + risk_groups: + - corridor_risk_columbus_new-york-jersey-city-newark + - corridor_risk_new-york-jersey-city-newark_washington-arlington - source: path: metro1/pop2 match: *id004 @@ -368,9 +376,11 @@ network: source_metro: new-york-jersey-city-newark target_metro: columbus target_capacity: 12800.0 - site_edge: metro1/pop2|metro5/pop2|inter_metro:1-5:2-2 - adjacency_id: inter_metro:1-5 + site_edge: metro1/pop2|metro5/pop2|inter_metro:1-5:path0:2-2 + adjacency_id: inter_metro:1-5:path0 distance_km: 977 + euclidean_km: 747.1357017294783 + detour_ratio: 1.3070646931065415 hardware: source: component: 800G-ZR+ @@ -378,10 +388,14 @@ network: target: component: 800G-ZR+ count: 16.0 - risk_groups: *id006 + risk_groups: + - corridor_risk_chicago_washington-arlington + - corridor_risk_columbus_new-york-jersey-city-newark + - corridor_risk_columbus_washington-arlington + - corridor_risk_new-york-jersey-city-newark_washington-arlington - source: path: metro2/pop1 - match: &id007 + match: &id005 conditions: - attr: role op: == @@ -389,9 +403,10 @@ network: - attr: role op: == value: leaf + logic: or target: path: metro2/pop2 - match: *id007 + match: *id005 pattern: one_to_one capacity: 25600.0 cost: 103 @@ -412,7 +427,7 @@ network: count: 32.0 - source: path: metro2/pop1 - match: &id008 + match: &id006 conditions: - attr: role op: == @@ -426,7 +441,7 @@ network: logic: or target: path: metro2/dc1 - match: *id008 + match: *id006 pattern: one_to_one capacity: 38400.0 cost: 1 @@ -447,7 +462,7 @@ network: count: 48.0 - source: path: metro2/pop1 - match: &id009 + match: &id007 conditions: - attr: role op: == @@ -458,7 +473,7 @@ network: logic: or target: path: metro3/pop1 - match: *id009 + match: *id007 pattern: one_to_one capacity: 3200.0 cost: 1261 @@ -467,9 +482,11 @@ network: source_metro: washington-arlington target_metro: chicago target_capacity: 3200.0 - site_edge: metro2/pop1|metro3/pop1|inter_metro:2-3:1-1 - adjacency_id: inter_metro:2-3 + site_edge: metro2/pop1|metro3/pop1|inter_metro:2-3:path0:1-1 + adjacency_id: inter_metro:2-3:path0 distance_km: 1261 + euclidean_km: 962.0849480451766 + detour_ratio: 1.3098725226374546 hardware: source: component: 800G-ZR+ @@ -477,13 +494,13 @@ network: target: component: 800G-ZR+ count: 4.0 - risk_groups: &id012 + risk_groups: - corridor_risk_chicago_washington-arlington - corridor_risk_columbus_new-york-jersey-city-newark - corridor_risk_columbus_washington-arlington - source: path: metro2/pop1 - match: &id010 + match: &id008 conditions: - attr: role op: == @@ -494,7 +511,7 @@ network: logic: or target: path: metro4/pop1 - match: *id010 + match: *id008 pattern: one_to_one capacity: 3200.0 cost: 1216 @@ -503,9 +520,11 @@ network: source_metro: washington-arlington target_metro: atlanta target_capacity: 3200.0 - site_edge: metro2/pop1|metro4/pop1|inter_metro:2-4:1-1 - adjacency_id: inter_metro:2-4 + site_edge: metro2/pop1|metro4/pop1|inter_metro:2-4:path0:1-1 + adjacency_id: inter_metro:2-4:path0 distance_km: 1216 + euclidean_km: 861.267572704122 + detour_ratio: 1.4113975069243747 hardware: source: component: 800G-ZR+ @@ -513,11 +532,11 @@ network: target: component: 800G-ZR+ count: 4.0 - risk_groups: &id013 + risk_groups: - corridor_risk_atlanta_washington-arlington - source: path: metro2/pop1 - match: &id011 + match: &id009 conditions: - attr: role op: == @@ -528,7 +547,7 @@ network: logic: or target: path: metro5/pop1 - match: *id011 + match: *id009 pattern: one_to_one capacity: 12800.0 cost: 733 @@ -537,9 +556,11 @@ network: source_metro: washington-arlington target_metro: columbus target_capacity: 12800.0 - site_edge: metro2/pop1|metro5/pop1|inter_metro:2-5:1-1 - adjacency_id: inter_metro:2-5 + site_edge: metro2/pop1|metro5/pop1|inter_metro:2-5:path0:1-1 + adjacency_id: inter_metro:2-5:path0 distance_km: 733 + euclidean_km: 507.67314955219973 + detour_ratio: 1.44331128980949 hardware: source: component: 800G-ZR+ @@ -547,16 +568,16 @@ network: target: component: 800G-ZR+ count: 16.0 - risk_groups: &id014 + risk_groups: - corridor_risk_chicago_washington-arlington - corridor_risk_columbus_new-york-jersey-city-newark - corridor_risk_columbus_washington-arlington - source: path: metro2/pop2 - match: *id008 + match: *id006 target: path: metro2/dc1 - match: *id008 + match: *id006 pattern: one_to_one capacity: 38400.0 cost: 103 @@ -577,10 +598,10 @@ network: count: 48.0 - source: path: metro2/pop2 - match: *id009 + match: *id007 target: path: metro3/pop2 - match: *id009 + match: *id007 pattern: one_to_one capacity: 3200.0 cost: 1261 @@ -589,9 +610,11 @@ network: source_metro: washington-arlington target_metro: chicago target_capacity: 3200.0 - site_edge: metro2/pop2|metro3/pop2|inter_metro:2-3:2-2 - adjacency_id: inter_metro:2-3 + site_edge: metro2/pop2|metro3/pop2|inter_metro:2-3:path0:2-2 + adjacency_id: inter_metro:2-3:path0 distance_km: 1261 + euclidean_km: 962.0849480451766 + detour_ratio: 1.3098725226374546 hardware: source: component: 800G-ZR+ @@ -599,13 +622,16 @@ network: target: component: 800G-ZR+ count: 4.0 - risk_groups: *id012 + risk_groups: + - corridor_risk_chicago_washington-arlington + - corridor_risk_columbus_new-york-jersey-city-newark + - corridor_risk_columbus_washington-arlington - source: path: metro2/pop2 - match: *id010 + match: *id008 target: path: metro4/pop2 - match: *id010 + match: *id008 pattern: one_to_one capacity: 3200.0 cost: 1216 @@ -614,9 +640,11 @@ network: source_metro: washington-arlington target_metro: atlanta target_capacity: 3200.0 - site_edge: metro2/pop2|metro4/pop2|inter_metro:2-4:2-2 - adjacency_id: inter_metro:2-4 + site_edge: metro2/pop2|metro4/pop2|inter_metro:2-4:path0:2-2 + adjacency_id: inter_metro:2-4:path0 distance_km: 1216 + euclidean_km: 861.267572704122 + detour_ratio: 1.4113975069243747 hardware: source: component: 800G-ZR+ @@ -624,13 +652,14 @@ network: target: component: 800G-ZR+ count: 4.0 - risk_groups: *id013 + risk_groups: + - corridor_risk_atlanta_washington-arlington - source: path: metro2/pop2 - match: *id011 + match: *id009 target: path: metro5/pop2 - match: *id011 + match: *id009 pattern: one_to_one capacity: 12800.0 cost: 733 @@ -639,9 +668,11 @@ network: source_metro: washington-arlington target_metro: columbus target_capacity: 12800.0 - site_edge: metro2/pop2|metro5/pop2|inter_metro:2-5:2-2 - adjacency_id: inter_metro:2-5 + site_edge: metro2/pop2|metro5/pop2|inter_metro:2-5:path0:2-2 + adjacency_id: inter_metro:2-5:path0 distance_km: 733 + euclidean_km: 507.67314955219973 + detour_ratio: 1.44331128980949 hardware: source: component: 800G-ZR+ @@ -649,10 +680,13 @@ network: target: component: 800G-ZR+ count: 16.0 - risk_groups: *id014 + risk_groups: + - corridor_risk_chicago_washington-arlington + - corridor_risk_columbus_new-york-jersey-city-newark + - corridor_risk_columbus_washington-arlington - source: path: metro3/pop1 - match: &id015 + match: &id010 conditions: - attr: role op: == @@ -660,9 +694,10 @@ network: - attr: role op: == value: leaf + logic: or target: path: metro3/pop2 - match: *id015 + match: *id010 pattern: one_to_one capacity: 12800.0 cost: 138 @@ -683,7 +718,7 @@ network: count: 16.0 - source: path: metro3/pop1 - match: &id016 + match: &id011 conditions: - attr: role op: == @@ -694,7 +729,7 @@ network: logic: or target: path: metro5/pop1 - match: *id016 + match: *id011 pattern: one_to_one capacity: 3200.0 cost: 658 @@ -703,9 +738,11 @@ network: source_metro: chicago target_metro: columbus target_capacity: 3200.0 - site_edge: metro3/pop1|metro5/pop1|inter_metro:3-5:1-1 - adjacency_id: inter_metro:3-5 + site_edge: metro3/pop1|metro5/pop1|inter_metro:3-5:path0:1-1 + adjacency_id: inter_metro:3-5:path0 distance_km: 658 + euclidean_km: 463.6395625132306 + detour_ratio: 1.418606990859309 hardware: source: component: 800G-ZR+ @@ -713,12 +750,12 @@ network: target: component: 800G-ZR+ count: 4.0 - risk_groups: &id018 + risk_groups: - corridor_risk_atlanta_chicago - corridor_risk_chicago_columbus - source: path: metro3/pop1 - match: &id017 + match: &id012 conditions: - attr: role op: == @@ -729,7 +766,7 @@ network: logic: or target: path: metro4/pop1 - match: *id017 + match: *id012 pattern: one_to_one capacity: 3200.0 cost: 1302 @@ -738,9 +775,11 @@ network: source_metro: chicago target_metro: atlanta target_capacity: 3200.0 - site_edge: metro3/pop1|metro4/pop1|inter_metro:3-4:1-1 - adjacency_id: inter_metro:3-4 + site_edge: metro3/pop1|metro4/pop1|inter_metro:3-4:path0:1-1 + adjacency_id: inter_metro:3-4:path0 distance_km: 1302 + euclidean_km: 962.0999146161588 + detour_ratio: 1.3528437249287772 hardware: source: component: 800G-ZR+ @@ -748,16 +787,16 @@ network: target: component: 800G-ZR+ count: 4.0 - risk_groups: &id019 + risk_groups: - corridor_risk_atlanta_chicago - corridor_risk_atlanta_columbus - corridor_risk_chicago_columbus - source: path: metro3/pop2 - match: *id016 + match: *id011 target: path: metro5/pop2 - match: *id016 + match: *id011 pattern: one_to_one capacity: 3200.0 cost: 658 @@ -766,9 +805,11 @@ network: source_metro: chicago target_metro: columbus target_capacity: 3200.0 - site_edge: metro3/pop2|metro5/pop2|inter_metro:3-5:2-2 - adjacency_id: inter_metro:3-5 + site_edge: metro3/pop2|metro5/pop2|inter_metro:3-5:path0:2-2 + adjacency_id: inter_metro:3-5:path0 distance_km: 658 + euclidean_km: 463.6395625132306 + detour_ratio: 1.418606990859309 hardware: source: component: 800G-ZR+ @@ -776,13 +817,15 @@ network: target: component: 800G-ZR+ count: 4.0 - risk_groups: *id018 + risk_groups: + - corridor_risk_atlanta_chicago + - corridor_risk_chicago_columbus - source: path: metro3/pop2 - match: *id017 + match: *id012 target: path: metro4/pop2 - match: *id017 + match: *id012 pattern: one_to_one capacity: 3200.0 cost: 1302 @@ -791,9 +834,11 @@ network: source_metro: chicago target_metro: atlanta target_capacity: 3200.0 - site_edge: metro3/pop2|metro4/pop2|inter_metro:3-4:2-2 - adjacency_id: inter_metro:3-4 + site_edge: metro3/pop2|metro4/pop2|inter_metro:3-4:path0:2-2 + adjacency_id: inter_metro:3-4:path0 distance_km: 1302 + euclidean_km: 962.0999146161588 + detour_ratio: 1.3528437249287772 hardware: source: component: 800G-ZR+ @@ -801,10 +846,13 @@ network: target: component: 800G-ZR+ count: 4.0 - risk_groups: *id019 + risk_groups: + - corridor_risk_atlanta_chicago + - corridor_risk_atlanta_columbus + - corridor_risk_chicago_columbus - source: path: metro4/pop1 - match: &id020 + match: &id013 conditions: - attr: role op: == @@ -812,9 +860,10 @@ network: - attr: role op: == value: leaf + logic: or target: path: metro4/pop2 - match: *id020 + match: *id013 pattern: one_to_one capacity: 12800.0 cost: 142 @@ -835,7 +884,7 @@ network: count: 16.0 - source: path: metro4/pop1 - match: &id021 + match: &id014 conditions: - attr: role op: == @@ -846,7 +895,7 @@ network: logic: or target: path: metro5/pop1 - match: *id021 + match: *id014 pattern: one_to_one capacity: 3200.0 cost: 1028 @@ -855,9 +904,11 @@ network: source_metro: atlanta target_metro: columbus target_capacity: 3200.0 - site_edge: metro4/pop1|metro5/pop1|inter_metro:4-5:1-1 - adjacency_id: inter_metro:4-5 + site_edge: metro4/pop1|metro5/pop1|inter_metro:4-5:path0:1-1 + adjacency_id: inter_metro:4-5:path0 distance_km: 1028 + euclidean_km: 713.256465952325 + detour_ratio: 1.439960594262943 hardware: source: component: 800G-ZR+ @@ -865,15 +916,15 @@ network: target: component: 800G-ZR+ count: 4.0 - risk_groups: &id022 + risk_groups: - corridor_risk_atlanta_chicago - corridor_risk_atlanta_columbus - source: path: metro4/pop2 - match: *id021 + match: *id014 target: path: metro5/pop2 - match: *id021 + match: *id014 pattern: one_to_one capacity: 3200.0 cost: 1028 @@ -882,9 +933,11 @@ network: source_metro: atlanta target_metro: columbus target_capacity: 3200.0 - site_edge: metro4/pop2|metro5/pop2|inter_metro:4-5:2-2 - adjacency_id: inter_metro:4-5 + site_edge: metro4/pop2|metro5/pop2|inter_metro:4-5:path0:2-2 + adjacency_id: inter_metro:4-5:path0 distance_km: 1028 + euclidean_km: 713.256465952325 + detour_ratio: 1.439960594262943 hardware: source: component: 800G-ZR+ @@ -892,10 +945,12 @@ network: target: component: 800G-ZR+ count: 4.0 - risk_groups: *id022 + risk_groups: + - corridor_risk_atlanta_chicago + - corridor_risk_atlanta_columbus - source: path: metro5/pop1 - match: &id023 + match: &id015 conditions: - attr: role op: == @@ -903,9 +958,10 @@ network: - attr: role op: == value: leaf + logic: or target: path: metro5/pop2 - match: *id023 + match: *id015 pattern: one_to_one capacity: 25600.0 cost: 65 @@ -926,7 +982,7 @@ network: count: 32.0 - 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"1096800_1965000__1096800_1965150", - "1096650_1965300__1096800_1965150", - "1096650_1965300__1096650_1965600", - "1096500_1965750__1096650_1965600", - "1096500_1965750__1096500_1965900", - "1096350_1966200__1096500_1965900", - "1096350_1966200__1096350_1966650", - "1096200_1966800__1096350_1966650", - "1096200_1966800__1096200_1967550" - ], "risk_groups": [ "corridor_risk_atlanta_chicago", "corridor_risk_atlanta_columbus" - ] + ], + "key": 0 } - ] + ], + "graph_type": "corridors" } diff --git a/tests/data/scenarios/small_clos/small_clos__seed11/small_clos__seed11_scenario.results.json b/tests/data/scenarios/small_clos/small_clos__seed11/small_clos__seed11_scenario.results.json index 4112284..49dae8a 100644 --- a/tests/data/scenarios/small_clos/small_clos__seed11/small_clos__seed11_scenario.results.json +++ b/tests/data/scenarios/small_clos/small_clos__seed11/small_clos__seed11_scenario.results.json @@ -36,7 +36,7 @@ "steps": { "network_statistics": { "metadata": { - "duration_sec": 0.00040411949157714844 + "duration_sec": 0.0003619194030761719 }, "data": { "node_count": 127, @@ -58,7 +58,7 @@ }, "msd_baseline": { "metadata": { - "duration_sec": 0.004728794097900391 + "duration_sec": 0.004051923751831055 }, "data": { "alpha_star": 1.40625, @@ -74,7 +74,7 @@ }, "base_demands": [ { - "id": "^metro1/dc1/.*|^metro5/dc1/.*|ht-fl4SdTRKLDzaKPxY6xA", + "id": "^metro1/dc1/.*|^metro5/dc1/.*|PpBwcjVoQiyLg5-ry6l2Zw", "source": "^metro1/dc1/.*", "target": "^metro5/dc1/.*", "volume": 15000.0, @@ -88,7 +88,7 @@ } }, { - "id": "^metro5/dc1/.*|^metro1/dc1/.*|7BW4ll86S4aPN1ralz2wbQ", + "id": "^metro5/dc1/.*|^metro1/dc1/.*|ujRwzY9jTxq9mB0pZht7DQ", "source": "^metro5/dc1/.*", "target": "^metro1/dc1/.*", "volume": 15000.0, @@ -102,7 +102,7 @@ } }, { - "id": "^metro2/dc1/.*|^metro5/dc1/.*|UJ_xOj1FSjaxsyPb9raNXQ", + "id": "^metro2/dc1/.*|^metro5/dc1/.*|BTVMsiOQTZOYO-k9-HEslw", "source": "^metro2/dc1/.*", "target": "^metro5/dc1/.*", "volume": 15000.0, @@ -116,7 +116,7 @@ } }, { - "id": "^metro5/dc1/.*|^metro2/dc1/.*|JoPeGhxWT9-9un_T--gKyw", + "id": "^metro5/dc1/.*|^metro2/dc1/.*|4hhEVLm6SYSevRFK3ZmlFw", "source": "^metro5/dc1/.*", "target": "^metro2/dc1/.*", "volume": 15000.0, @@ -130,7 +130,7 @@ } }, { - "id": "^metro1/dc1/.*|^metro2/dc1/.*|TWPPSksRQh6Ehg-7y3DeEA", + "id": "^metro1/dc1/.*|^metro2/dc1/.*|ALl8kiq7Sr-FuOKkXZFR7Q", "source": "^metro1/dc1/.*", "target": "^metro2/dc1/.*", "volume": 15000.0, @@ -144,7 +144,7 @@ } }, { - "id": "^metro2/dc1/.*|^metro1/dc1/.*|hJnLsuJ4SoqjlwjwB5h_PQ", + "id": "^metro2/dc1/.*|^metro1/dc1/.*|KfnfGDO0Tr2k9JXyPY4OYA", "source": "^metro2/dc1/.*", "target": "^metro1/dc1/.*", "volume": 15000.0, @@ -203,7 +203,7 @@ "parallelism": 7, "analysis_function": "demand_placement_analysis", "policy_name": "mc_baseline", - "execution_time": 0.5366730690002441, + "execution_time": 0.5989899635314941, "unique_patterns": 577, "occurrence_counts": [ 39, @@ -784,7 +784,7 @@ 1, 1 ], - "duration_sec": 0.5695979595184326 + "duration_sec": 0.6335148811340332 }, "data": { "baseline": { @@ -903,37 +903,37 @@ "excluded_nodes": [], "excluded_links": [ "metro2/pop1/leaf/leaf9|metro4/pop1/core/core|0", + "metro2/pop1/leaf/leaf14|metro4/pop1/core/core|0", + "metro2/pop1/leaf/leaf10|metro4/pop1/core/core|0", + "metro2/pop2/leaf/leaf14|metro4/pop2/core/core|0", + "metro2/pop1/leaf/leaf2|metro4/pop1/core/core|0", + "metro2/pop2/leaf/leaf8|metro4/pop2/core/core|0", + "metro2/pop1/leaf/leaf5|metro4/pop1/core/core|0", + "metro2/pop1/leaf/leaf11|metro4/pop1/core/core|0", + "metro2/pop2/leaf/leaf4|metro4/pop2/core/core|0", "metro2/pop2/leaf/leaf10|metro4/pop2/core/core|0", - "metro2/pop2/leaf/leaf13|metro4/pop2/core/core|0", + "metro2/pop1/leaf/leaf6|metro4/pop1/core/core|0", + "metro2/pop2/leaf/leaf16|metro4/pop2/core/core|0", "metro2/pop2/leaf/leaf2|metro4/pop2/core/core|0", "metro2/pop1/leaf/leaf7|metro4/pop1/core/core|0", - "metro2/pop2/leaf/leaf8|metro4/pop2/core/core|0", - "metro2/pop2/leaf/leaf4|metro4/pop2/core/core|0", - "metro2/pop1/leaf/leaf2|metro4/pop1/core/core|0", - "metro2/pop2/leaf/leaf15|metro4/pop2/core/core|0", - "metro2/pop2/leaf/leaf6|metro4/pop2/core/core|0", - "metro2/pop1/leaf/leaf14|metro4/pop1/core/core|0", - "metro2/pop1/leaf/leaf11|metro4/pop1/core/core|0", - "metro2/pop2/leaf/leaf14|metro4/pop2/core/core|0", "metro2/pop2/leaf/leaf11|metro4/pop2/core/core|0", + "metro2/pop1/leaf/leaf12|metro4/pop1/core/core|0", + "metro2/pop1/leaf/leaf4|metro4/pop1/core/core|0", + "metro2/pop1/leaf/leaf8|metro4/pop1/core/core|0", + "metro2/pop2/leaf/leaf1|metro4/pop2/core/core|0", + "metro2/pop1/leaf/leaf16|metro4/pop1/core/core|0", "metro2/pop2/leaf/leaf12|metro4/pop2/core/core|0", + "metro2/pop2/leaf/leaf13|metro4/pop2/core/core|0", + "metro2/pop2/leaf/leaf15|metro4/pop2/core/core|0", + "metro2/pop2/leaf/leaf7|metro4/pop2/core/core|0", "metro2/pop2/leaf/leaf3|metro4/pop2/core/core|0", - "metro2/pop2/leaf/leaf5|metro4/pop2/core/core|0", - "metro2/pop1/leaf/leaf8|metro4/pop1/core/core|0", - "metro2/pop1/leaf/leaf1|metro4/pop1/core/core|0", "metro2/pop1/leaf/leaf3|metro4/pop1/core/core|0", - "metro2/pop1/leaf/leaf4|metro4/pop1/core/core|0", - "metro2/pop1/leaf/leaf15|metro4/pop1/core/core|0", - "metro2/pop1/leaf/leaf10|metro4/pop1/core/core|0", - "metro2/pop1/leaf/leaf12|metro4/pop1/core/core|0", "metro2/pop1/leaf/leaf13|metro4/pop1/core/core|0", - "metro2/pop1/leaf/leaf16|metro4/pop1/core/core|0", - "metro2/pop1/leaf/leaf5|metro4/pop1/core/core|0", - "metro2/pop2/leaf/leaf16|metro4/pop2/core/core|0", - "metro2/pop2/leaf/leaf1|metro4/pop2/core/core|0", + "metro2/pop1/leaf/leaf1|metro4/pop1/core/core|0", + "metro2/pop2/leaf/leaf5|metro4/pop2/core/core|0", + "metro2/pop2/leaf/leaf6|metro4/pop2/core/core|0", "metro2/pop2/leaf/leaf9|metro4/pop2/core/core|0", - "metro2/pop2/leaf/leaf7|metro4/pop2/core/core|0", - "metro2/pop1/leaf/leaf6|metro4/pop1/core/core|0" + "metro2/pop1/leaf/leaf15|metro4/pop1/core/core|0" ] }, "failure_trace": null, @@ -1042,72 +1042,72 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro3/pop2/core/core|metro5/pop2/leaf/leaf12|0", - "metro3/pop1/core/core|metro5/pop1/leaf/leaf12|0", - "metro4/pop2/core/core|metro5/pop2/leaf/leaf11|0", - "metro3/pop1/core/core|metro5/pop1/leaf/leaf5|0", + "metro3/pop2/core/core|metro5/pop2/leaf/leaf3|0", + "metro3/pop1/core/core|metro5/pop1/leaf/leaf10|0", + "metro4/pop1/core/core|metro5/pop1/leaf/leaf10|0", + "metro3/pop2/core/core|metro4/pop2/core/core|0", + "metro4/pop2/core/core|metro5/pop2/leaf/leaf4|0", "metro3/pop1/core/core|metro5/pop1/leaf/leaf13|0", - "metro4/pop1/core/core|metro5/pop1/leaf/leaf7|0", - "metro3/pop2/core/core|metro5/pop2/leaf/leaf1|0", - "metro3/pop1/core/core|metro5/pop1/leaf/leaf4|0", - "metro3/pop2/core/core|metro5/pop2/leaf/leaf4|0", - "metro3/pop2/core/core|metro5/pop2/leaf/leaf16|0", + "metro3/pop1/core/core|metro5/pop1/leaf/leaf11|0", + "metro4/pop2/core/core|metro5/pop2/leaf/leaf12|0", + "metro4/pop2/core/core|metro5/pop2/leaf/leaf3|0", + "metro3/pop1/core/core|metro5/pop1/leaf/leaf8|0", + "metro3/pop1/core/core|metro5/pop1/leaf/leaf3|0", "metro4/pop1/core/core|metro5/pop1/leaf/leaf8|0", - "metro3/pop2/core/core|metro5/pop2/leaf/leaf8|0", - "metro4/pop1/core/core|metro5/pop1/leaf/leaf15|0", - "metro4/pop2/core/core|metro5/pop2/leaf/leaf1|0", - "metro3/pop1/core/core|metro5/pop1/leaf/leaf16|0", + "metro3/pop1/core/core|metro5/pop1/leaf/leaf12|0", + "metro4/pop1/core/core|metro5/pop1/leaf/leaf11|0", + "metro4/pop1/core/core|metro5/pop1/leaf/leaf3|0", + "metro4/pop2/core/core|metro5/pop2/leaf/leaf13|0", + "metro4/pop1/core/core|metro5/pop1/leaf/leaf7|0", + "metro3/pop1/core/core|metro5/pop1/leaf/leaf9|0", + "metro3/pop2/core/core|metro5/pop2/leaf/leaf13|0", + "metro4/pop1/core/core|metro5/pop1/leaf/leaf5|0", + "metro3/pop2/core/core|metro5/pop2/leaf/leaf5|0", "metro3/pop2/core/core|metro5/pop2/leaf/leaf2|0", - "metro4/pop1/core/core|metro5/pop1/leaf/leaf14|0", - 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"metro4/pop1/core/core|metro5/pop1/leaf/leaf4|0", - "metro3/pop2/core/core|metro5/pop2/leaf/leaf13|0", - "metro3/pop1/core/core|metro5/pop1/leaf/leaf10|0", - "metro3/pop1/core/core|metro5/pop1/leaf/leaf9|0", - "metro3/pop2/core/core|metro5/pop2/leaf/leaf3|0", - "metro3/pop2/core/core|metro4/pop2/core/core|0", - "metro3/pop1/core/core|metro5/pop1/leaf/leaf3|0", + "metro4/pop2/core/core|metro5/pop2/leaf/leaf9|0", + "metro4/pop1/core/core|metro5/pop1/leaf/leaf9|0", + "metro3/pop2/core/core|metro5/pop2/leaf/leaf16|0", + "metro4/pop2/core/core|metro5/pop2/leaf/leaf11|0", + "metro3/pop1/core/core|metro5/pop1/leaf/leaf5|0", + "metro4/pop2/core/core|metro5/pop2/leaf/leaf10|0", + "metro3/pop2/core/core|metro5/pop2/leaf/leaf12|0", + "metro3/pop2/core/core|metro5/pop2/leaf/leaf15|0", "metro4/pop1/core/core|metro5/pop1/leaf/leaf13|0", - "metro3/pop2/core/core|metro5/pop2/leaf/leaf7|0", - "metro3/pop2/core/core|metro5/pop2/leaf/leaf5|0", - "metro4/pop1/core/core|metro5/pop1/leaf/leaf1|0", - "metro4/pop1/core/core|metro5/pop1/leaf/leaf2|0", + "metro4/pop2/core/core|metro5/pop2/leaf/leaf1|0", "metro4/pop2/core/core|metro5/pop2/leaf/leaf14|0", - "metro4/pop2/core/core|metro5/pop2/leaf/leaf6|0", - "metro4/pop2/core/core|metro5/pop2/leaf/leaf2|0", - "metro4/pop2/core/core|metro5/pop2/leaf/leaf3|0", - "metro3/pop2/core/core|metro5/pop2/leaf/leaf11|0", - "metro3/pop1/core/core|metro5/pop1/leaf/leaf14|0", - "metro4/pop2/core/core|metro5/pop2/leaf/leaf8|0", + "metro4/pop2/core/core|metro5/pop2/leaf/leaf15|0", + "metro3/pop1/core/core|metro5/pop1/leaf/leaf7|0", "metro3/pop2/core/core|metro5/pop2/leaf/leaf9|0", - "metro4/pop2/core/core|metro5/pop2/leaf/leaf12|0", - "metro4/pop1/core/core|metro5/pop1/leaf/leaf5|0" + "metro3/pop1/core/core|metro5/pop1/leaf/leaf6|0", + "metro4/pop2/core/core|metro5/pop2/leaf/leaf8|0", + "metro3/pop1/core/core|metro5/pop1/leaf/leaf14|0", + "metro3/pop2/core/core|metro5/pop2/leaf/leaf4|0", + "metro4/pop2/core/core|metro5/pop2/leaf/leaf16|0", + "metro4/pop2/core/core|metro5/pop2/leaf/leaf2|0", + "metro4/pop2/core/core|metro5/pop2/leaf/leaf5|0", + "metro3/pop2/core/core|metro5/pop2/leaf/leaf8|0", + "metro3/pop1/core/core|metro5/pop1/leaf/leaf16|0", + "metro4/pop1/core/core|metro5/pop1/leaf/leaf16|0", + "metro3/pop2/core/core|metro5/pop2/leaf/leaf7|0", + "metro3/pop2/core/core|metro5/pop2/leaf/leaf6|0", + "metro4/pop1/core/core|metro5/pop1/leaf/leaf2|0" ] }, "failure_trace": null, @@ -1319,8 +1319,8 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro2/pop2/leaf/leaf13|metro2/dc1/dc/dc|0", "metro5/pop2/leaf/leaf10|metro5/dc1/dc/dc|0", + "metro2/pop2/leaf/leaf13|metro2/dc1/dc/dc|0", "metro5/pop1/leaf/leaf14|metro5/dc1/dc/dc|0" ] }, @@ -1559,102 +1559,102 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro2/pop1/leaf/leaf5|metro5/pop1/leaf/leaf5|0", - "metro2/pop2/leaf/leaf5|metro5/pop2/leaf/leaf5|0", - "metro2/pop2/leaf/leaf6|metro3/pop2/core/core|0", - "metro1/pop2/leaf/leaf10|metro5/pop2/leaf/leaf10|0", - "metro2/pop2/leaf/leaf3|metro3/pop2/core/core|0", - "metro2/pop2/leaf/leaf11|metro3/pop2/core/core|0", + "metro1/pop2/leaf/leaf14|metro5/pop2/leaf/leaf14|0", "metro2/pop1/leaf/leaf9|metro5/pop1/leaf/leaf9|0", - "metro1/pop1/leaf/leaf3|metro5/pop1/leaf/leaf3|0", - "metro1/pop1/leaf/leaf4|metro5/pop1/leaf/leaf4|0", - "metro2/pop2/leaf/leaf16|metro3/pop2/core/core|0", - "metro2/pop1/leaf/leaf12|metro3/pop1/core/core|0", - "metro2/pop2/leaf/leaf15|metro3/pop2/core/core|0", - "metro1/pop2/leaf/leaf8|metro5/pop2/leaf/leaf8|0", - "metro2/pop1/leaf/leaf16|metro5/pop1/leaf/leaf16|0", - "metro1/pop2/leaf/leaf15|metro5/pop2/leaf/leaf15|0", - "metro2/pop1/leaf/leaf3|metro3/pop1/core/core|0", - "metro2/pop1/leaf/leaf7|metro3/pop1/core/core|0", - "metro2/pop2/leaf/leaf7|metro3/pop2/core/core|0", - "metro2/pop1/leaf/leaf8|metro5/pop1/leaf/leaf8|0", - "metro2/pop1/leaf/leaf12|metro5/pop1/leaf/leaf12|0", - "metro1/pop1/leaf/leaf8|metro5/pop1/leaf/leaf8|0", - "metro1/pop1/leaf/leaf2|metro5/pop1/leaf/leaf2|0", - "metro2/pop1/leaf/leaf14|metro5/pop1/leaf/leaf14|0", - "metro2/pop2/leaf/leaf6|metro5/pop2/leaf/leaf6|0", - "metro1/pop1/leaf/leaf1|metro5/pop1/leaf/leaf1|0", - "metro2/pop2/leaf/leaf10|metro5/pop2/leaf/leaf10|0", - "metro2/pop2/leaf/leaf13|metro3/pop2/core/core|0", - "metro2/pop2/leaf/leaf13|metro5/pop2/leaf/leaf13|0", - "metro1/pop1/leaf/leaf7|metro5/pop1/leaf/leaf7|0", - "metro2/pop1/leaf/leaf16|metro3/pop1/core/core|0", - "metro2/pop2/leaf/leaf5|metro3/pop2/core/core|0", + "metro1/pop1/leaf/leaf16|metro5/pop1/leaf/leaf16|0", + "metro2/pop1/leaf/leaf11|metro5/pop1/leaf/leaf11|0", + "metro1/pop1/leaf/leaf5|metro5/pop1/leaf/leaf5|0", "metro2/pop1/leaf/leaf6|metro3/pop1/core/core|0", - "metro2/pop1/leaf/leaf10|metro3/pop1/core/core|0", - "metro2/pop1/leaf/leaf9|metro3/pop1/core/core|0", - "metro1/pop1/leaf/leaf12|metro5/pop1/leaf/leaf12|0", - "metro1/pop1/leaf/leaf10|metro5/pop1/leaf/leaf10|0", - "metro1/pop2/leaf/leaf14|metro5/pop2/leaf/leaf14|0", - "metro1/pop2/leaf/leaf7|metro5/pop2/leaf/leaf7|0", - "metro2/pop1/leaf/leaf4|metro3/pop1/core/core|0", - "metro1/pop2/leaf/leaf9|metro5/pop2/leaf/leaf9|0", - "metro2/pop1/leaf/leaf5|metro3/pop1/core/core|0", - "metro2/pop2/leaf/leaf9|metro5/pop2/leaf/leaf9|0", + "metro2/pop1/leaf/leaf10|metro5/pop1/leaf/leaf10|0", "metro2/pop1/leaf/leaf15|metro5/pop1/leaf/leaf15|0", - "metro1/pop2/leaf/leaf6|metro5/pop2/leaf/leaf6|0", - "metro2/pop2/leaf/leaf2|metro5/pop2/leaf/leaf2|0", - "metro1/pop1/leaf/leaf5|metro5/pop1/leaf/leaf5|0", - "metro2/pop1/leaf/leaf8|metro3/pop1/core/core|0", - "metro2/pop2/leaf/leaf3|metro5/pop2/leaf/leaf3|0", + "metro1/pop1/leaf/leaf7|metro5/pop1/leaf/leaf7|0", + "metro2/pop2/leaf/leaf7|metro3/pop2/core/core|0", "metro2/pop2/leaf/leaf10|metro3/pop2/core/core|0", + "metro2/pop1/leaf/leaf4|metro3/pop1/core/core|0", + "metro2/pop2/leaf/leaf11|metro3/pop2/core/core|0", + "metro1/pop1/leaf/leaf10|metro5/pop1/leaf/leaf10|0", + "metro2/pop2/leaf/leaf3|metro5/pop2/leaf/leaf3|0", + "metro2/pop1/leaf/leaf13|metro5/pop1/leaf/leaf13|0", + "metro1/pop2/leaf/leaf7|metro5/pop2/leaf/leaf7|0", + "metro2/pop2/leaf/leaf5|metro5/pop2/leaf/leaf5|0", + "metro2/pop1/leaf/leaf3|metro3/pop1/core/core|0", "metro1/pop2/leaf/leaf11|metro5/pop2/leaf/leaf11|0", - "metro1/pop1/leaf/leaf13|metro5/pop1/leaf/leaf13|0", + "metro1/pop1/leaf/leaf15|metro5/pop1/leaf/leaf15|0", + "metro1/pop1/leaf/leaf12|metro5/pop1/leaf/leaf12|0", + "metro2/pop1/leaf/leaf2|metro3/pop1/core/core|0", + "metro1/pop1/leaf/leaf4|metro5/pop1/leaf/leaf4|0", + "metro2/pop2/leaf/leaf12|metro5/pop2/leaf/leaf12|0", + "metro1/pop2/leaf/leaf1|metro5/pop2/leaf/leaf1|0", + "metro2/pop1/leaf/leaf6|metro5/pop1/leaf/leaf6|0", + "metro1/pop1/leaf/leaf3|metro5/pop1/leaf/leaf3|0", + "metro2/pop1/leaf/leaf12|metro5/pop1/leaf/leaf12|0", + "metro1/pop1/leaf/leaf8|metro5/pop1/leaf/leaf8|0", + "metro2/pop1/leaf/leaf10|metro3/pop1/core/core|0", + "metro2/pop1/leaf/leaf16|metro3/pop1/core/core|0", + "metro2/pop2/leaf/leaf14|metro5/pop2/leaf/leaf14|0", "metro1/pop1/leaf/leaf11|metro5/pop1/leaf/leaf11|0", - "metro2/pop1/leaf/leaf4|metro5/pop1/leaf/leaf4|0", - "metro1/pop1/leaf/leaf16|metro5/pop1/leaf/leaf16|0", + "metro1/pop2/leaf/leaf2|metro5/pop2/leaf/leaf2|0", + "metro2/pop2/leaf/leaf1|metro5/pop2/leaf/leaf1|0", + "metro1/pop1/leaf/leaf13|metro5/pop1/leaf/leaf13|0", + "metro1/pop2/leaf/leaf12|metro5/pop2/leaf/leaf12|0", + "metro1/pop2/leaf/leaf10|metro5/pop2/leaf/leaf10|0", + "metro2/pop1/leaf/leaf9|metro3/pop1/core/core|0", "metro2/pop2/leaf/leaf16|metro5/pop2/leaf/leaf16|0", - "metro2/pop2/leaf/leaf7|metro5/pop2/leaf/leaf7|0", + "metro2/pop2/leaf/leaf9|metro5/pop2/leaf/leaf9|0", + "metro2/pop2/leaf/leaf4|metro5/pop2/leaf/leaf4|0", + "metro2/pop2/leaf/leaf1|metro3/pop2/core/core|0", + "metro2/pop1/leaf/leaf5|metro3/pop1/core/core|0", + "metro2/pop2/leaf/leaf16|metro3/pop2/core/core|0", "metro2/pop2/leaf/leaf11|metro5/pop2/leaf/leaf11|0", + "metro1/pop1/leaf/leaf14|metro5/pop1/leaf/leaf14|0", + "metro2/pop1/leaf/leaf12|metro3/pop1/core/core|0", + "metro1/pop2/leaf/leaf15|metro5/pop2/leaf/leaf15|0", "metro2/pop1/leaf/leaf1|metro5/pop1/leaf/leaf1|0", + "metro2/pop2/leaf/leaf13|metro3/pop2/core/core|0", + "metro2/pop2/leaf/leaf13|metro5/pop2/leaf/leaf13|0", "metro2/pop2/leaf/leaf14|metro3/pop2/core/core|0", + "metro1/pop2/leaf/leaf8|metro5/pop2/leaf/leaf8|0", + "metro2/pop2/leaf/leaf15|metro5/pop2/leaf/leaf15|0", + "metro2/pop2/leaf/leaf3|metro3/pop2/core/core|0", + "metro1/pop2/leaf/leaf16|metro5/pop2/leaf/leaf16|0", + "metro2/pop1/leaf/leaf15|metro3/pop1/core/core|0", + "metro2/pop1/leaf/leaf7|metro5/pop1/leaf/leaf7|0", + "metro2/pop1/leaf/leaf11|metro3/pop1/core/core|0", + "metro1/pop1/leaf/leaf6|metro5/pop1/leaf/leaf6|0", + "metro1/pop1/leaf/leaf9|metro5/pop1/leaf/leaf9|0", "metro2/pop1/leaf/leaf14|metro3/pop1/core/core|0", + "metro2/pop1/leaf/leaf2|metro5/pop1/leaf/leaf2|0", "metro2/pop1/leaf/leaf13|metro3/pop1/core/core|0", - "metro1/pop1/leaf/leaf9|metro5/pop1/leaf/leaf9|0", - "metro1/pop2/leaf/leaf1|metro5/pop2/leaf/leaf1|0", + "metro2/pop1/leaf/leaf7|metro3/pop1/core/core|0", + "metro1/pop2/leaf/leaf6|metro5/pop2/leaf/leaf6|0", + "metro2/pop2/leaf/leaf6|metro5/pop2/leaf/leaf6|0", + "metro1/pop2/leaf/leaf9|metro5/pop2/leaf/leaf9|0", + "metro2/pop1/leaf/leaf4|metro5/pop1/leaf/leaf4|0", + "metro2/pop2/leaf/leaf6|metro3/pop2/core/core|0", + "metro2/pop1/leaf/leaf8|metro5/pop1/leaf/leaf8|0", + "metro2/pop1/leaf/leaf3|metro5/pop1/leaf/leaf3|0", + "metro2/pop1/leaf/leaf14|metro5/pop1/leaf/leaf14|0", + "metro2/pop2/leaf/leaf8|metro5/pop2/leaf/leaf8|0", + "metro1/pop1/leaf/leaf1|metro5/pop1/leaf/leaf1|0", + "metro2/pop1/leaf/leaf1|metro3/pop1/core/core|0", + "metro2/pop1/leaf/leaf8|metro3/pop1/core/core|0", + "metro1/pop2/leaf/leaf3|metro5/pop2/leaf/leaf3|0", "metro2/pop2/leaf/leaf8|metro3/pop2/core/core|0", - "metro1/pop2/leaf/leaf2|metro5/pop2/leaf/leaf2|0", - "metro2/pop2/leaf/leaf14|metro5/pop2/leaf/leaf14|0", "metro1/pop2/leaf/leaf13|metro5/pop2/leaf/leaf13|0", - "metro2/pop2/leaf/leaf1|metro5/pop2/leaf/leaf1|0", - "metro2/pop1/leaf/leaf11|metro5/pop1/leaf/leaf11|0", "metro2/pop2/leaf/leaf12|metro3/pop2/core/core|0", + "metro2/pop2/leaf/leaf10|metro5/pop2/leaf/leaf10|0", + "metro2/pop2/leaf/leaf5|metro3/pop2/core/core|0", + "metro2/pop2/leaf/leaf7|metro5/pop2/leaf/leaf7|0", + "metro2/pop2/leaf/leaf2|metro5/pop2/leaf/leaf2|0", "metro2/pop2/leaf/leaf2|metro3/pop2/core/core|0", - "metro2/pop2/leaf/leaf12|metro5/pop2/leaf/leaf12|0", - "metro1/pop1/leaf/leaf14|metro5/pop1/leaf/leaf14|0", - "metro2/pop2/leaf/leaf8|metro5/pop2/leaf/leaf8|0", + "metro2/pop1/leaf/leaf5|metro5/pop1/leaf/leaf5|0", + "metro2/pop2/leaf/leaf4|metro3/pop2/core/core|0", "metro2/pop2/leaf/leaf9|metro3/pop2/core/core|0", - "metro2/pop1/leaf/leaf2|metro3/pop1/core/core|0", "metro1/pop2/leaf/leaf5|metro5/pop2/leaf/leaf5|0", - "metro2/pop1/leaf/leaf15|metro3/pop1/core/core|0", + "metro1/pop1/leaf/leaf2|metro5/pop1/leaf/leaf2|0", "metro1/pop2/leaf/leaf4|metro5/pop2/leaf/leaf4|0", - "metro1/pop2/leaf/leaf3|metro5/pop2/leaf/leaf3|0", - "metro2/pop1/leaf/leaf1|metro3/pop1/core/core|0", - "metro1/pop1/leaf/leaf6|metro5/pop1/leaf/leaf6|0", - "metro2/pop1/leaf/leaf2|metro5/pop1/leaf/leaf2|0", - "metro2/pop1/leaf/leaf11|metro3/pop1/core/core|0", - "metro1/pop2/leaf/leaf12|metro5/pop2/leaf/leaf12|0", - "metro2/pop1/leaf/leaf10|metro5/pop1/leaf/leaf10|0", - "metro2/pop1/leaf/leaf13|metro5/pop1/leaf/leaf13|0", - "metro1/pop2/leaf/leaf16|metro5/pop2/leaf/leaf16|0", - "metro2/pop1/leaf/leaf6|metro5/pop1/leaf/leaf6|0", - "metro2/pop2/leaf/leaf4|metro5/pop2/leaf/leaf4|0", - "metro2/pop2/leaf/leaf1|metro3/pop2/core/core|0", - "metro1/pop1/leaf/leaf15|metro5/pop1/leaf/leaf15|0", - "metro2/pop1/leaf/leaf7|metro5/pop1/leaf/leaf7|0", - "metro2/pop2/leaf/leaf4|metro3/pop2/core/core|0", - "metro2/pop2/leaf/leaf15|metro5/pop2/leaf/leaf15|0", - "metro2/pop1/leaf/leaf3|metro5/pop1/leaf/leaf3|0" + "metro2/pop2/leaf/leaf15|metro3/pop2/core/core|0", + "metro2/pop1/leaf/leaf16|metro5/pop1/leaf/leaf16|0" ] }, "failure_trace": null, @@ -1747,40 +1747,40 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro3/pop1/core/core|metro5/pop1/leaf/leaf8|0", - "metro3/pop1/core/core|metro4/pop1/core/core|0", - "metro3/pop2/core/core|metro5/pop2/leaf/leaf12|0", - "metro3/pop1/core/core|metro5/pop1/leaf/leaf12|0", - "metro3/pop2/core/core|metro5/pop2/leaf/leaf10|0", - "metro3/pop1/core/core|metro5/pop1/leaf/leaf2|0", - "metro3/pop1/core/core|metro5/pop1/leaf/leaf5|0", - "metro3/pop2/core/core|metro5/pop2/leaf/leaf14|0", - "metro3/pop1/core/core|metro5/pop1/leaf/leaf13|0", - "metro3/pop2/core/core|metro5/pop2/leaf/leaf13|0", - "metro3/pop1/core/core|metro5/pop1/leaf/leaf10|0", - "metro3/pop1/core/core|metro5/pop1/leaf/leaf9|0", - "metro3/pop2/core/core|metro5/pop2/leaf/leaf1|0", "metro3/pop1/core/core|metro5/pop1/leaf/leaf4|0", - "metro3/pop2/core/core|metro5/pop2/leaf/leaf4|0", - "metro3/pop2/core/core|metro5/pop2/leaf/leaf16|0", "metro3/pop2/core/core|metro5/pop2/leaf/leaf3|0", - "metro3/pop2/core/core|metro5/pop2/leaf/leaf8|0", - "metro3/pop1/core/core|metro5/pop1/leaf/leaf16|0", - "metro3/pop1/core/core|metro5/pop1/leaf/leaf3|0", - "metro3/pop2/core/core|metro5/pop2/leaf/leaf2|0", - "metro3/pop2/core/core|metro5/pop2/leaf/leaf7|0", + "metro3/pop1/core/core|metro5/pop1/leaf/leaf10|0", "metro3/pop2/core/core|metro4/pop2/core/core|0", - "metro3/pop2/core/core|metro5/pop2/leaf/leaf15|0", - "metro3/pop2/core/core|metro5/pop2/leaf/leaf5|0", + "metro3/pop2/core/core|metro5/pop2/leaf/leaf16|0", + "metro3/pop1/core/core|metro5/pop1/leaf/leaf13|0", "metro3/pop1/core/core|metro5/pop1/leaf/leaf11|0", + "metro3/pop1/core/core|metro5/pop1/leaf/leaf8|0", + "metro3/pop1/core/core|metro5/pop1/leaf/leaf5|0", + "metro3/pop1/core/core|metro5/pop1/leaf/leaf3|0", + "metro3/pop1/core/core|metro5/pop1/leaf/leaf12|0", + "metro3/pop2/core/core|metro5/pop2/leaf/leaf12|0", + "metro3/pop2/core/core|metro5/pop2/leaf/leaf15|0", "metro3/pop1/core/core|metro5/pop1/leaf/leaf7|0", + "metro3/pop1/core/core|metro5/pop1/leaf/leaf9|0", + "metro3/pop2/core/core|metro5/pop2/leaf/leaf9|0", "metro3/pop1/core/core|metro5/pop1/leaf/leaf6|0", - "metro3/pop2/core/core|metro5/pop2/leaf/leaf11|0", - "metro3/pop2/core/core|metro5/pop2/leaf/leaf6|0", + "metro3/pop2/core/core|metro5/pop2/leaf/leaf13|0", "metro3/pop1/core/core|metro5/pop1/leaf/leaf14|0", - "metro3/pop2/core/core|metro5/pop2/leaf/leaf9|0", + "metro3/pop2/core/core|metro5/pop2/leaf/leaf4|0", + "metro3/pop2/core/core|metro5/pop2/leaf/leaf5|0", + "metro3/pop2/core/core|metro5/pop2/leaf/leaf2|0", + "metro3/pop2/core/core|metro5/pop2/leaf/leaf10|0", "metro3/pop1/core/core|metro5/pop1/leaf/leaf1|0", - "metro3/pop1/core/core|metro5/pop1/leaf/leaf15|0" + "metro3/pop2/core/core|metro5/pop2/leaf/leaf8|0", + "metro3/pop1/core/core|metro5/pop1/leaf/leaf16|0", + "metro3/pop1/core/core|metro4/pop1/core/core|0", + "metro3/pop1/core/core|metro5/pop1/leaf/leaf2|0", + "metro3/pop2/core/core|metro5/pop2/leaf/leaf1|0", + "metro3/pop2/core/core|metro5/pop2/leaf/leaf7|0", + "metro3/pop2/core/core|metro5/pop2/leaf/leaf14|0", + "metro3/pop1/core/core|metro5/pop1/leaf/leaf15|0", + "metro3/pop2/core/core|metro5/pop2/leaf/leaf6|0", + "metro3/pop2/core/core|metro5/pop2/leaf/leaf11|0" ] }, "failure_trace": null, @@ -1890,8 +1890,8 @@ "excluded_nodes": [], "excluded_links": [ "metro2/pop2/leaf/leaf8|metro2/dc1/dc/dc|0", - "metro2/pop1/leaf/leaf14|metro2/dc1/dc/dc|0", - "metro1/pop2/leaf/leaf8|metro1/dc1/dc/dc|0" + "metro1/pop2/leaf/leaf8|metro1/dc1/dc/dc|0", + "metro2/pop1/leaf/leaf14|metro2/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -2127,8 +2127,8 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro1/pop1/leaf/leaf15|metro1/dc1/dc/dc|0", "metro5/pop1/leaf/leaf11|metro5/dc1/dc/dc|0", + "metro1/pop1/leaf/leaf15|metro1/dc1/dc/dc|0", "metro2/pop1/leaf/leaf2|metro2/dc1/dc/dc|0" ] }, @@ -2474,8 +2474,8 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro1/pop2/leaf/leaf4|metro1/dc1/dc/dc|0", "metro5/pop2/leaf/leaf10|metro5/dc1/dc/dc|0", + "metro1/pop2/leaf/leaf4|metro1/dc1/dc/dc|0", "metro2/pop2/leaf/leaf10|metro2/dc1/dc/dc|0" ] }, @@ -2820,8 +2820,8 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro2/pop1/leaf/leaf16|metro2/dc1/dc/dc|0", "metro5/pop1/leaf/leaf11|metro5/dc1/dc/dc|0", + "metro2/pop1/leaf/leaf16|metro2/dc1/dc/dc|0", "metro2/pop2/leaf/leaf11|metro2/dc1/dc/dc|0" ] }, @@ -3286,9 +3286,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro2/pop1/leaf/leaf13|metro2/dc1/dc/dc|0", "metro1/pop1/leaf/leaf14|metro1/dc1/dc/dc|0", - "metro2/pop2/leaf/leaf2|metro2/dc1/dc/dc|0" + "metro2/pop2/leaf/leaf2|metro2/dc1/dc/dc|0", + "metro2/pop1/leaf/leaf13|metro2/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -3411,9 +3411,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ + "metro5/pop1/leaf/leaf10|metro5/dc1/dc/dc|0", "metro2/pop1/leaf/leaf5|metro2/dc1/dc/dc|0", - "metro1/pop1/leaf/leaf11|metro1/dc1/dc/dc|0", - "metro5/pop1/leaf/leaf10|metro5/dc1/dc/dc|0" + "metro1/pop1/leaf/leaf11|metro1/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -3882,9 +3882,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro1/pop1/leaf/leaf15|metro1/dc1/dc/dc|0", + "metro2/pop1/leaf/leaf5|metro2/dc1/dc/dc|0", "metro2/pop1/leaf/leaf16|metro2/dc1/dc/dc|0", - "metro2/pop1/leaf/leaf5|metro2/dc1/dc/dc|0" + "metro1/pop1/leaf/leaf15|metro1/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -4234,10 +4234,10 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro5/pop2/leaf/leaf14|metro5/pop2/spine/spine3|0", + "metro2/pop1/leaf/leaf1|metro2/pop1/spine/spine1|0", "metro1/pop2/leaf/leaf14|metro1/pop2/spine/spine2|0", "metro1/pop2/leaf/leaf6|metro1/pop2/spine/spine2|0", - "metro2/pop1/leaf/leaf1|metro2/pop1/spine/spine1|0" + "metro5/pop2/leaf/leaf14|metro5/pop2/spine/spine3|0" ] }, "failure_trace": null, @@ -4348,8 +4348,8 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro1/pop1/leaf/leaf4|metro1/dc1/dc/dc|0", "metro2/pop1/leaf/leaf3|metro2/dc1/dc/dc|0", + "metro1/pop1/leaf/leaf4|metro1/dc1/dc/dc|0", "metro1/pop1/leaf/leaf10|metro1/dc1/dc/dc|0" ] }, @@ -4467,10 +4467,10 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ + "metro2/pop2/leaf/leaf9|metro2/pop2/spine/spine1|0", "metro2/pop1/leaf/leaf16|metro2/pop1/spine/spine4|0", "metro1/pop2/leaf/leaf6|metro1/pop2/spine/spine3|0", - "metro2/pop2/leaf/leaf4|metro2/pop2/spine/spine1|0", - "metro2/pop2/leaf/leaf9|metro2/pop2/spine/spine1|0" + "metro2/pop2/leaf/leaf4|metro2/pop2/spine/spine1|0" ] }, "failure_trace": null, @@ -4581,9 +4581,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ + "metro5/pop2/leaf/leaf8|metro5/dc1/dc/dc|0", "metro5/pop1/leaf/leaf9|metro5/dc1/dc/dc|0", - "metro1/pop1/leaf/leaf8|metro1/dc1/dc/dc|0", - "metro5/pop2/leaf/leaf8|metro5/dc1/dc/dc|0" + "metro1/pop1/leaf/leaf8|metro1/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -4704,9 +4704,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro1/pop2/leaf/leaf7|metro1/dc1/dc/dc|0", "metro1/pop1/leaf/leaf2|metro1/dc1/dc/dc|0", - "metro5/pop2/leaf/leaf4|metro5/dc1/dc/dc|0" + "metro5/pop2/leaf/leaf4|metro5/dc1/dc/dc|0", + "metro1/pop2/leaf/leaf7|metro1/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -4829,9 +4829,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ + "metro5/pop1/leaf/leaf11|metro5/dc1/dc/dc|0", "metro2/pop1/leaf/leaf9|metro2/dc1/dc/dc|0", - "metro1/pop1/leaf/leaf6|metro1/dc1/dc/dc|0", - "metro5/pop1/leaf/leaf11|metro5/dc1/dc/dc|0" + "metro1/pop1/leaf/leaf6|metro1/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -5064,9 +5064,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro1/pop2/leaf/leaf7|metro1/dc1/dc/dc|0", + "metro2/pop2/leaf/leaf4|metro2/dc1/dc/dc|0", "metro1/pop2/leaf/leaf2|metro1/dc1/dc/dc|0", - "metro2/pop2/leaf/leaf4|metro2/dc1/dc/dc|0" + "metro1/pop2/leaf/leaf7|metro1/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -5189,10 +5189,10 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro2/pop2/leaf/leaf4|metro2/pop2/spine/spine1|0", - "metro2/pop2/leaf/leaf12|metro2/pop2/spine/spine4|0", "metro2/pop1/leaf/leaf15|metro2/pop1/spine/spine1|0", - "metro1/pop2/leaf/leaf3|metro1/pop2/spine/spine3|0" + "metro2/pop2/leaf/leaf12|metro2/pop2/spine/spine4|0", + "metro1/pop2/leaf/leaf3|metro1/pop2/spine/spine3|0", + "metro2/pop2/leaf/leaf4|metro2/pop2/spine/spine1|0" ] }, "failure_trace": null, @@ -5304,8 +5304,8 @@ "excluded_nodes": [], "excluded_links": [ "metro5/pop2/leaf/leaf4|metro5/pop2/spine/spine1|0", - "metro1/pop1/leaf/leaf4|metro1/pop1/spine/spine3|0", "metro2/pop2/leaf/leaf12|metro2/pop2/spine/spine4|0", + "metro1/pop1/leaf/leaf4|metro1/pop1/spine/spine3|0", "metro5/pop2/leaf/leaf11|metro5/pop2/spine/spine3|0" ] }, @@ -5667,10 +5667,10 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro2/pop1/leaf/leaf13|metro2/pop1/spine/spine4|0", + "metro5/pop1/leaf/leaf13|metro5/pop1/spine/spine4|0", "metro1/pop2/leaf/leaf14|metro1/pop2/spine/spine4|0", "metro1/pop1/leaf/leaf7|metro1/pop1/spine/spine1|0", - "metro5/pop1/leaf/leaf13|metro5/pop1/spine/spine4|0" + "metro2/pop1/leaf/leaf13|metro2/pop1/spine/spine4|0" ] }, "failure_trace": null, @@ -5781,10 +5781,10 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro1/pop1/leaf/leaf8|metro1/pop1/spine/spine4|0", - "metro2/pop1/leaf/leaf2|metro2/pop1/spine/spine1|0", "metro5/pop1/leaf/leaf9|metro5/pop1/spine/spine4|0", - "metro1/pop1/leaf/leaf2|metro1/pop1/spine/spine4|0" + "metro1/pop1/leaf/leaf2|metro1/pop1/spine/spine4|0", + "metro1/pop1/leaf/leaf8|metro1/pop1/spine/spine4|0", + "metro2/pop1/leaf/leaf2|metro2/pop1/spine/spine1|0" ] }, "failure_trace": null, @@ -5895,9 +5895,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ + "metro1/pop2/leaf/leaf12|metro1/dc1/dc/dc|0", "metro1/pop1/leaf/leaf4|metro1/dc1/dc/dc|0", - "metro1/pop1/leaf/leaf5|metro1/dc1/dc/dc|0", - "metro1/pop2/leaf/leaf12|metro1/dc1/dc/dc|0" + "metro1/pop1/leaf/leaf5|metro1/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -6012,9 +6012,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro1/pop1/leaf/leaf6|metro1/dc1/dc/dc|0", "metro2/pop1/leaf/leaf10|metro2/dc1/dc/dc|0", - "metro2/pop1/leaf/leaf4|metro2/dc1/dc/dc|0" + "metro2/pop1/leaf/leaf4|metro2/dc1/dc/dc|0", + "metro1/pop1/leaf/leaf6|metro1/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -6132,10 +6132,10 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro2/pop1/leaf/leaf10|metro2/pop1/spine/spine1|0", - "metro1/pop1/leaf/leaf2|metro1/pop1/spine/spine4|0", "metro5/pop2/leaf/leaf1|metro5/pop2/spine/spine4|0", - "metro1/pop1/leaf/leaf7|metro1/pop1/spine/spine4|0" + "metro1/pop1/leaf/leaf2|metro1/pop1/spine/spine4|0", + "metro1/pop1/leaf/leaf7|metro1/pop1/spine/spine4|0", + "metro2/pop1/leaf/leaf10|metro2/pop1/spine/spine1|0" ] }, "failure_trace": null, @@ -6246,9 +6246,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro5/pop2/leaf/leaf13|metro5/dc1/dc/dc|0", + "metro1/pop1/leaf/leaf9|metro1/dc1/dc/dc|0", "metro5/pop2/leaf/leaf10|metro5/dc1/dc/dc|0", - "metro1/pop1/leaf/leaf9|metro1/dc1/dc/dc|0" + "metro5/pop2/leaf/leaf13|metro5/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -6478,9 +6478,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro1/pop2/leaf/leaf1|metro1/pop2/spine/spine2|0", - "metro2/pop2/leaf/leaf16|metro2/pop2/spine/spine1|0", "metro2/pop2/leaf/leaf4|metro2/pop2/spine/spine3|0", + "metro2/pop2/leaf/leaf16|metro2/pop2/spine/spine1|0", + "metro1/pop2/leaf/leaf1|metro1/pop2/spine/spine2|0", "metro2/pop1/leaf/leaf13|metro2/pop1/spine/spine3|0" ] }, @@ -6715,8 +6715,8 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro5/pop2/leaf/leaf14|metro5/dc1/dc/dc|0", "metro2/pop2/leaf/leaf2|metro2/dc1/dc/dc|0", + "metro5/pop2/leaf/leaf14|metro5/dc1/dc/dc|0", "metro2/pop1/leaf/leaf4|metro2/dc1/dc/dc|0" ] }, @@ -6840,9 +6840,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ + "metro5/pop1/leaf/leaf13|metro5/dc1/dc/dc|0", "metro1/pop2/leaf/leaf7|metro1/dc1/dc/dc|0", - "metro5/pop1/leaf/leaf15|metro5/dc1/dc/dc|0", - "metro5/pop1/leaf/leaf13|metro5/dc1/dc/dc|0" + "metro5/pop1/leaf/leaf15|metro5/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -6965,8 +6965,8 @@ "excluded_nodes": [], "excluded_links": [ "metro5/pop1/leaf/leaf10|metro5/dc1/dc/dc|0", - "metro1/pop1/leaf/leaf11|metro1/dc1/dc/dc|0", - "metro1/pop1/leaf/leaf13|metro1/dc1/dc/dc|0" + "metro1/pop1/leaf/leaf13|metro1/dc1/dc/dc|0", + "metro1/pop1/leaf/leaf11|metro1/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -7085,9 +7085,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro1/pop2/leaf/leaf7|metro1/dc1/dc/dc|0", "metro2/pop1/leaf/leaf5|metro2/dc1/dc/dc|0", - "metro1/pop2/leaf/leaf2|metro1/dc1/dc/dc|0" + "metro1/pop2/leaf/leaf2|metro1/dc1/dc/dc|0", + "metro1/pop2/leaf/leaf7|metro1/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -7549,9 +7549,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro2/pop1/leaf/leaf13|metro2/dc1/dc/dc|0", "metro2/pop2/leaf/leaf4|metro2/dc1/dc/dc|0", - "metro5/pop1/leaf/leaf1|metro5/dc1/dc/dc|0" + "metro5/pop1/leaf/leaf1|metro5/dc1/dc/dc|0", + "metro2/pop1/leaf/leaf13|metro2/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -7676,9 +7676,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro5/pop1/leaf/leaf7|metro5/dc1/dc/dc|0", "metro1/pop1/leaf/leaf7|metro1/dc1/dc/dc|0", - "metro1/pop2/leaf/leaf9|metro1/dc1/dc/dc|0" + "metro1/pop2/leaf/leaf9|metro1/dc1/dc/dc|0", + "metro5/pop1/leaf/leaf7|metro5/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -7916,134 +7916,134 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro1/pop2/leaf/leaf6|metro2/pop2/leaf/leaf6|0", - "metro1/pop2/leaf/leaf7|metro2/pop2/leaf/leaf7|0", + "metro1/pop2/leaf/leaf14|metro5/pop2/leaf/leaf14|0", + "metro2/pop1/leaf/leaf9|metro5/pop1/leaf/leaf9|0", + "metro1/pop2/leaf/leaf11|metro2/pop2/leaf/leaf11|0", + "metro1/pop1/leaf/leaf5|metro5/pop1/leaf/leaf5|0", + "metro1/pop2/leaf/leaf3|metro2/pop2/leaf/leaf3|0", + "metro1/pop1/leaf/leaf3|metro2/pop1/leaf/leaf3|0", + "metro2/pop1/leaf/leaf4|metro3/pop1/core/core|0", + "metro2/pop2/leaf/leaf3|metro5/pop2/leaf/leaf3|0", + "metro2/pop1/leaf/leaf13|metro5/pop1/leaf/leaf13|0", "metro2/pop2/leaf/leaf5|metro5/pop2/leaf/leaf5|0", - "metro1/pop2/leaf/leaf10|metro5/pop2/leaf/leaf10|0", - "metro2/pop2/leaf/leaf3|metro3/pop2/core/core|0", - "metro2/pop2/leaf/leaf11|metro3/pop2/core/core|0", + "metro2/pop1/leaf/leaf3|metro3/pop1/core/core|0", + "metro1/pop1/leaf/leaf15|metro5/pop1/leaf/leaf15|0", + "metro1/pop2/leaf/leaf6|metro2/pop2/leaf/leaf6|0", + "metro1/pop1/leaf/leaf12|metro5/pop1/leaf/leaf12|0", + "metro2/pop1/leaf/leaf2|metro3/pop1/core/core|0", "metro1/pop1/leaf/leaf4|metro5/pop1/leaf/leaf4|0", + "metro2/pop1/leaf/leaf12|metro5/pop1/leaf/leaf12|0", + "metro1/pop1/leaf/leaf5|metro2/pop1/leaf/leaf5|0", + "metro2/pop1/leaf/leaf10|metro3/pop1/core/core|0", + "metro2/pop2/leaf/leaf14|metro5/pop2/leaf/leaf14|0", + "metro1/pop1/leaf/leaf11|metro5/pop1/leaf/leaf11|0", + "metro1/pop2/leaf/leaf2|metro5/pop2/leaf/leaf2|0", + "metro2/pop2/leaf/leaf1|metro5/pop2/leaf/leaf1|0", + "metro1/pop2/leaf/leaf10|metro5/pop2/leaf/leaf10|0", + "metro2/pop1/leaf/leaf9|metro3/pop1/core/core|0", + "metro1/pop2/leaf/leaf5|metro2/pop2/leaf/leaf5|0", + "metro1/pop1/leaf/leaf14|metro5/pop1/leaf/leaf14|0", + "metro1/pop2/leaf/leaf16|metro2/pop2/leaf/leaf16|0", "metro1/pop2/leaf/leaf15|metro5/pop2/leaf/leaf15|0", - "metro2/pop1/leaf/leaf3|metro3/pop1/core/core|0", + "metro2/pop1/leaf/leaf1|metro5/pop1/leaf/leaf1|0", + "metro2/pop2/leaf/leaf13|metro3/pop2/core/core|0", + "metro2/pop2/leaf/leaf13|metro5/pop2/leaf/leaf13|0", + "metro2/pop2/leaf/leaf14|metro3/pop2/core/core|0", + "metro1/pop1/leaf/leaf11|metro2/pop1/leaf/leaf11|0", + "metro2/pop2/leaf/leaf15|metro5/pop2/leaf/leaf15|0", + "metro1/pop2/leaf/leaf16|metro5/pop2/leaf/leaf16|0", + "metro2/pop1/leaf/leaf15|metro3/pop1/core/core|0", + "metro2/pop1/leaf/leaf7|metro5/pop1/leaf/leaf7|0", + "metro1/pop1/leaf/leaf4|metro2/pop1/leaf/leaf4|0", + "metro2/pop1/leaf/leaf11|metro3/pop1/core/core|0", + "metro2/pop1/leaf/leaf14|metro3/pop1/core/core|0", + "metro2/pop1/leaf/leaf2|metro5/pop1/leaf/leaf2|0", + "metro2/pop1/leaf/leaf13|metro3/pop1/core/core|0", + "metro2/pop1/leaf/leaf7|metro3/pop1/core/core|0", + "metro1/pop1/leaf/leaf1|metro2/pop1/leaf/leaf1|0", + "metro1/pop2/leaf/leaf9|metro5/pop2/leaf/leaf9|0", + "metro2/pop1/leaf/leaf4|metro5/pop1/leaf/leaf4|0", "metro2/pop1/leaf/leaf8|metro5/pop1/leaf/leaf8|0", "metro1/pop2/leaf/leaf10|metro2/pop2/leaf/leaf10|0", - "metro2/pop2/leaf/leaf6|metro5/pop2/leaf/leaf6|0", - "metro1/pop2/leaf/leaf2|metro2/pop2/leaf/leaf2|0", + "metro1/pop2/leaf/leaf7|metro2/pop2/leaf/leaf7|0", + "metro2/pop2/leaf/leaf8|metro5/pop2/leaf/leaf8|0", "metro1/pop1/leaf/leaf1|metro5/pop1/leaf/leaf1|0", - "metro1/pop1/leaf/leaf7|metro5/pop1/leaf/leaf7|0", + "metro2/pop1/leaf/leaf1|metro3/pop1/core/core|0", + "metro1/pop2/leaf/leaf3|metro5/pop2/leaf/leaf3|0", + "metro2/pop2/leaf/leaf8|metro3/pop2/core/core|0", + "metro1/pop1/leaf/leaf13|metro2/pop1/leaf/leaf13|0", + "metro1/pop2/leaf/leaf13|metro5/pop2/leaf/leaf13|0", + "metro1/pop1/leaf/leaf8|metro2/pop1/leaf/leaf8|0", + "metro2/pop2/leaf/leaf10|metro5/pop2/leaf/leaf10|0", "metro2/pop2/leaf/leaf5|metro3/pop2/core/core|0", + "metro2/pop2/leaf/leaf7|metro5/pop2/leaf/leaf7|0", + "metro1/pop1/leaf/leaf9|metro2/pop1/leaf/leaf9|0", + "metro2/pop1/leaf/leaf5|metro5/pop1/leaf/leaf5|0", + "metro1/pop2/leaf/leaf5|metro5/pop2/leaf/leaf5|0", + "metro1/pop1/leaf/leaf16|metro2/pop1/leaf/leaf16|0", + "metro1/pop2/leaf/leaf4|metro5/pop2/leaf/leaf4|0", + "metro2/pop1/leaf/leaf16|metro5/pop1/leaf/leaf16|0", + "metro1/pop2/leaf/leaf14|metro2/pop2/leaf/leaf14|0", + "metro1/pop1/leaf/leaf6|metro2/pop1/leaf/leaf6|0", + "metro1/pop1/leaf/leaf16|metro5/pop1/leaf/leaf16|0", + "metro2/pop1/leaf/leaf11|metro5/pop1/leaf/leaf11|0", "metro2/pop1/leaf/leaf6|metro3/pop1/core/core|0", - "metro1/pop1/leaf/leaf1|metro2/pop1/leaf/leaf1|0", - "metro1/pop1/leaf/leaf15|metro2/pop1/leaf/leaf15|0", + "metro2/pop1/leaf/leaf10|metro5/pop1/leaf/leaf10|0", + "metro2/pop1/leaf/leaf15|metro5/pop1/leaf/leaf15|0", + "metro1/pop1/leaf/leaf7|metro5/pop1/leaf/leaf7|0", + "metro2/pop2/leaf/leaf7|metro3/pop2/core/core|0", + "metro2/pop2/leaf/leaf10|metro3/pop2/core/core|0", + "metro1/pop2/leaf/leaf13|metro2/pop2/leaf/leaf13|0", + "metro2/pop2/leaf/leaf11|metro3/pop2/core/core|0", + "metro1/pop1/leaf/leaf10|metro5/pop1/leaf/leaf10|0", "metro1/pop2/leaf/leaf7|metro5/pop2/leaf/leaf7|0", - "metro1/pop1/leaf/leaf4|metro2/pop1/leaf/leaf4|0", - "metro2/pop1/leaf/leaf5|metro3/pop1/core/core|0", - "metro2/pop2/leaf/leaf9|metro5/pop2/leaf/leaf9|0", - "metro2/pop2/leaf/leaf2|metro5/pop2/leaf/leaf2|0", - "metro2/pop1/leaf/leaf8|metro3/pop1/core/core|0", "metro1/pop2/leaf/leaf11|metro5/pop2/leaf/leaf11|0", - "metro2/pop1/leaf/leaf4|metro5/pop1/leaf/leaf4|0", - "metro2/pop2/leaf/leaf7|metro5/pop2/leaf/leaf7|0", - "metro2/pop2/leaf/leaf11|metro5/pop2/leaf/leaf11|0", - "metro1/pop1/leaf/leaf8|metro2/pop1/leaf/leaf8|0", - "metro1/pop2/leaf/leaf4|metro2/pop2/leaf/leaf4|0", - "metro2/pop1/leaf/leaf13|metro3/pop1/core/core|0", - "metro1/pop2/leaf/leaf1|metro5/pop2/leaf/leaf1|0", - "metro2/pop2/leaf/leaf14|metro5/pop2/leaf/leaf14|0", - "metro1/pop2/leaf/leaf13|metro5/pop2/leaf/leaf13|0", - "metro2/pop2/leaf/leaf1|metro5/pop2/leaf/leaf1|0", - "metro2/pop2/leaf/leaf12|metro3/pop2/core/core|0", - "metro1/pop1/leaf/leaf3|metro2/pop1/leaf/leaf3|0", - "metro2/pop2/leaf/leaf2|metro3/pop2/core/core|0", "metro2/pop2/leaf/leaf12|metro5/pop2/leaf/leaf12|0", - "metro1/pop1/leaf/leaf14|metro2/pop1/leaf/leaf14|0", - "metro1/pop1/leaf/leaf6|metro2/pop1/leaf/leaf6|0", + "metro1/pop2/leaf/leaf1|metro5/pop2/leaf/leaf1|0", + "metro2/pop1/leaf/leaf6|metro5/pop1/leaf/leaf6|0", + "metro1/pop1/leaf/leaf3|metro5/pop1/leaf/leaf3|0", + "metro1/pop1/leaf/leaf8|metro5/pop1/leaf/leaf8|0", "metro1/pop1/leaf/leaf12|metro2/pop1/leaf/leaf12|0", - "metro1/pop2/leaf/leaf4|metro5/pop2/leaf/leaf4|0", - "metro1/pop2/leaf/leaf5|metro5/pop2/leaf/leaf5|0", - "metro1/pop2/leaf/leaf3|metro5/pop2/leaf/leaf3|0", - "metro2/pop1/leaf/leaf15|metro3/pop1/core/core|0", - "metro1/pop1/leaf/leaf5|metro2/pop1/leaf/leaf5|0", - "metro1/pop1/leaf/leaf6|metro5/pop1/leaf/leaf6|0", - "metro2/pop1/leaf/leaf2|metro5/pop1/leaf/leaf2|0", - "metro1/pop1/leaf/leaf11|metro2/pop1/leaf/leaf11|0", + "metro2/pop1/leaf/leaf16|metro3/pop1/core/core|0", + "metro1/pop1/leaf/leaf13|metro5/pop1/leaf/leaf13|0", + "metro1/pop2/leaf/leaf9|metro2/pop2/leaf/leaf9|0", "metro1/pop2/leaf/leaf12|metro5/pop2/leaf/leaf12|0", - "metro1/pop2/leaf/leaf16|metro5/pop2/leaf/leaf16|0", - "metro2/pop1/leaf/leaf6|metro5/pop1/leaf/leaf6|0", - "metro2/pop2/leaf/leaf4|metro5/pop2/leaf/leaf4|0", - "metro2/pop2/leaf/leaf15|metro5/pop2/leaf/leaf15|0", - "metro2/pop2/leaf/leaf4|metro3/pop2/core/core|0", - "metro1/pop2/leaf/leaf5|metro2/pop2/leaf/leaf5|0", - "metro2/pop1/leaf/leaf5|metro5/pop1/leaf/leaf5|0", - "metro2/pop2/leaf/leaf6|metro3/pop2/core/core|0", - "metro1/pop2/leaf/leaf16|metro2/pop2/leaf/leaf16|0", - "metro1/pop2/leaf/leaf13|metro2/pop2/leaf/leaf13|0", - "metro2/pop1/leaf/leaf9|metro5/pop1/leaf/leaf9|0", + "metro2/pop2/leaf/leaf16|metro5/pop2/leaf/leaf16|0", "metro1/pop2/leaf/leaf15|metro2/pop2/leaf/leaf15|0", - "metro1/pop1/leaf/leaf3|metro5/pop1/leaf/leaf3|0", - "metro1/pop2/leaf/leaf1|metro2/pop2/leaf/leaf1|0", + "metro2/pop2/leaf/leaf9|metro5/pop2/leaf/leaf9|0", + "metro2/pop2/leaf/leaf4|metro5/pop2/leaf/leaf4|0", + "metro2/pop2/leaf/leaf1|metro3/pop2/core/core|0", + "metro2/pop1/leaf/leaf5|metro3/pop1/core/core|0", "metro2/pop2/leaf/leaf16|metro3/pop2/core/core|0", + "metro2/pop2/leaf/leaf11|metro5/pop2/leaf/leaf11|0", "metro2/pop1/leaf/leaf12|metro3/pop1/core/core|0", - "metro2/pop2/leaf/leaf15|metro3/pop2/core/core|0", - "metro1/pop2/leaf/leaf8|metro2/pop2/leaf/leaf8|0", + "metro1/pop2/leaf/leaf1|metro2/pop2/leaf/leaf1|0", "metro1/pop2/leaf/leaf8|metro5/pop2/leaf/leaf8|0", - "metro2/pop1/leaf/leaf16|metro5/pop1/leaf/leaf16|0", + "metro2/pop2/leaf/leaf3|metro3/pop2/core/core|0", "metro1/pop1/leaf/leaf10|metro2/pop1/leaf/leaf10|0", - "metro2/pop1/leaf/leaf7|metro3/pop1/core/core|0", - "metro2/pop2/leaf/leaf7|metro3/pop2/core/core|0", - "metro2/pop1/leaf/leaf12|metro5/pop1/leaf/leaf12|0", - "metro1/pop1/leaf/leaf7|metro2/pop1/leaf/leaf7|0", - "metro1/pop1/leaf/leaf13|metro2/pop1/leaf/leaf13|0", - "metro1/pop1/leaf/leaf8|metro5/pop1/leaf/leaf8|0", - "metro1/pop2/leaf/leaf9|metro2/pop2/leaf/leaf9|0", - "metro1/pop1/leaf/leaf2|metro5/pop1/leaf/leaf2|0", - "metro2/pop1/leaf/leaf14|metro5/pop1/leaf/leaf14|0", - "metro2/pop2/leaf/leaf10|metro5/pop2/leaf/leaf10|0", - "metro2/pop2/leaf/leaf13|metro3/pop2/core/core|0", - "metro2/pop2/leaf/leaf13|metro5/pop2/leaf/leaf13|0", - "metro2/pop1/leaf/leaf16|metro3/pop1/core/core|0", - "metro2/pop1/leaf/leaf10|metro3/pop1/core/core|0", - "metro2/pop1/leaf/leaf9|metro3/pop1/core/core|0", - "metro1/pop1/leaf/leaf12|metro5/pop1/leaf/leaf12|0", - "metro1/pop1/leaf/leaf10|metro5/pop1/leaf/leaf10|0", - "metro1/pop2/leaf/leaf14|metro5/pop2/leaf/leaf14|0", - "metro1/pop2/leaf/leaf3|metro2/pop2/leaf/leaf3|0", - "metro2/pop1/leaf/leaf4|metro3/pop1/core/core|0", - "metro1/pop1/leaf/leaf9|metro2/pop1/leaf/leaf9|0", - "metro1/pop2/leaf/leaf9|metro5/pop2/leaf/leaf9|0", - "metro2/pop1/leaf/leaf15|metro5/pop1/leaf/leaf15|0", - "metro1/pop2/leaf/leaf6|metro5/pop2/leaf/leaf6|0", - "metro1/pop1/leaf/leaf5|metro5/pop1/leaf/leaf5|0", - "metro2/pop2/leaf/leaf3|metro5/pop2/leaf/leaf3|0", - "metro1/pop1/leaf/leaf13|metro5/pop1/leaf/leaf13|0", - "metro1/pop1/leaf/leaf11|metro5/pop1/leaf/leaf11|0", - "metro1/pop1/leaf/leaf16|metro5/pop1/leaf/leaf16|0", - "metro2/pop2/leaf/leaf10|metro3/pop2/core/core|0", - "metro2/pop2/leaf/leaf16|metro5/pop2/leaf/leaf16|0", - "metro2/pop1/leaf/leaf1|metro5/pop1/leaf/leaf1|0", - "metro1/pop2/leaf/leaf14|metro2/pop2/leaf/leaf14|0", - "metro2/pop1/leaf/leaf14|metro3/pop1/core/core|0", + "metro1/pop1/leaf/leaf6|metro5/pop1/leaf/leaf6|0", "metro1/pop1/leaf/leaf9|metro5/pop1/leaf/leaf9|0", - "metro2/pop2/leaf/leaf8|metro3/pop2/core/core|0", - "metro1/pop2/leaf/leaf2|metro5/pop2/leaf/leaf2|0", - "metro2/pop1/leaf/leaf11|metro5/pop1/leaf/leaf11|0", - "metro1/pop1/leaf/leaf14|metro5/pop1/leaf/leaf14|0", - "metro2/pop2/leaf/leaf8|metro5/pop2/leaf/leaf8|0", - "metro2/pop2/leaf/leaf9|metro3/pop2/core/core|0", + "metro1/pop2/leaf/leaf6|metro5/pop2/leaf/leaf6|0", + "metro2/pop2/leaf/leaf6|metro5/pop2/leaf/leaf6|0", "metro1/pop2/leaf/leaf12|metro2/pop2/leaf/leaf12|0", - "metro2/pop1/leaf/leaf2|metro3/pop1/core/core|0", - "metro1/pop2/leaf/leaf11|metro2/pop2/leaf/leaf11|0", - "metro2/pop1/leaf/leaf1|metro3/pop1/core/core|0", - "metro2/pop1/leaf/leaf11|metro3/pop1/core/core|0", - "metro2/pop1/leaf/leaf10|metro5/pop1/leaf/leaf10|0", + "metro1/pop1/leaf/leaf15|metro2/pop1/leaf/leaf15|0", "metro1/pop1/leaf/leaf2|metro2/pop1/leaf/leaf2|0", - "metro2/pop1/leaf/leaf13|metro5/pop1/leaf/leaf13|0", - "metro2/pop2/leaf/leaf1|metro3/pop2/core/core|0", - "metro1/pop1/leaf/leaf15|metro5/pop1/leaf/leaf15|0", - "metro2/pop1/leaf/leaf7|metro5/pop1/leaf/leaf7|0", - "metro1/pop1/leaf/leaf16|metro2/pop1/leaf/leaf16|0", - "metro2/pop2/leaf/leaf14|metro3/pop2/core/core|0", - "metro2/pop1/leaf/leaf3|metro5/pop1/leaf/leaf3|0" + "metro2/pop2/leaf/leaf6|metro3/pop2/core/core|0", + "metro1/pop1/leaf/leaf7|metro2/pop1/leaf/leaf7|0", + "metro2/pop1/leaf/leaf3|metro5/pop1/leaf/leaf3|0", + "metro2/pop1/leaf/leaf14|metro5/pop1/leaf/leaf14|0", + "metro2/pop1/leaf/leaf8|metro3/pop1/core/core|0", + "metro1/pop2/leaf/leaf2|metro2/pop2/leaf/leaf2|0", + "metro1/pop1/leaf/leaf14|metro2/pop1/leaf/leaf14|0", + "metro2/pop2/leaf/leaf12|metro3/pop2/core/core|0", + "metro2/pop2/leaf/leaf2|metro5/pop2/leaf/leaf2|0", + "metro1/pop2/leaf/leaf4|metro2/pop2/leaf/leaf4|0", + "metro2/pop2/leaf/leaf2|metro3/pop2/core/core|0", + "metro2/pop2/leaf/leaf4|metro3/pop2/core/core|0", + "metro2/pop2/leaf/leaf9|metro3/pop2/core/core|0", + "metro1/pop1/leaf/leaf2|metro5/pop1/leaf/leaf2|0", + "metro2/pop2/leaf/leaf15|metro3/pop2/core/core|0", + "metro1/pop2/leaf/leaf8|metro2/pop2/leaf/leaf8|0" ] }, "failure_trace": null, @@ -8130,40 +8130,40 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro3/pop1/core/core|metro4/pop1/core/core|0", - "metro4/pop1/core/core|metro5/pop1/leaf/leaf11|0", - "metro4/pop1/core/core|metro5/pop1/leaf/leaf9|0", - "metro4/pop1/core/core|metro5/pop1/leaf/leaf12|0", - "metro4/pop2/core/core|metro5/pop2/leaf/leaf9|0", - "metro4/pop2/core/core|metro5/pop2/leaf/leaf11|0", - "metro4/pop2/core/core|metro5/pop2/leaf/leaf10|0", + "metro4/pop1/core/core|metro5/pop1/leaf/leaf15|0", "metro4/pop1/core/core|metro5/pop1/leaf/leaf4|0", - "metro4/pop1/core/core|metro5/pop1/leaf/leaf7|0", + "metro4/pop2/core/core|metro5/pop2/leaf/leaf9|0", + "metro4/pop1/core/core|metro5/pop1/leaf/leaf9|0", + "metro4/pop1/core/core|metro5/pop1/leaf/leaf10|0", + "metro3/pop2/core/core|metro4/pop2/core/core|0", + "metro4/pop2/core/core|metro5/pop2/leaf/leaf4|0", "metro4/pop2/core/core|metro5/pop2/leaf/leaf12|0", + "metro4/pop2/core/core|metro5/pop2/leaf/leaf3|0", "metro4/pop1/core/core|metro5/pop1/leaf/leaf8|0", - "metro4/pop1/core/core|metro5/pop1/leaf/leaf15|0", + "metro4/pop2/core/core|metro5/pop2/leaf/leaf11|0", + "metro4/pop2/core/core|metro5/pop2/leaf/leaf10|0", + "metro4/pop1/core/core|metro5/pop1/leaf/leaf11|0", + "metro4/pop1/core/core|metro5/pop1/leaf/leaf3|0", "metro4/pop2/core/core|metro5/pop2/leaf/leaf1|0", - "metro3/pop2/core/core|metro4/pop2/core/core|0", - "metro4/pop1/core/core|metro5/pop1/leaf/leaf14|0", "metro4/pop1/core/core|metro5/pop1/leaf/leaf13|0", - "metro4/pop2/core/core|metro5/pop2/leaf/leaf7|0", - "metro4/pop1/core/core|metro5/pop1/leaf/leaf1|0", - "metro4/pop1/core/core|metro5/pop1/leaf/leaf2|0", + "metro4/pop1/core/core|metro5/pop1/leaf/leaf7|0", "metro4/pop2/core/core|metro5/pop2/leaf/leaf13|0", - "metro4/pop1/core/core|metro5/pop1/leaf/leaf3|0", - "metro4/pop2/core/core|metro5/pop2/leaf/leaf6|0", "metro4/pop2/core/core|metro5/pop2/leaf/leaf14|0", - "metro4/pop2/core/core|metro5/pop2/leaf/leaf2|0", - "metro4/pop2/core/core|metro5/pop2/leaf/leaf3|0", - "metro4/pop2/core/core|metro5/pop2/leaf/leaf16|0", "metro4/pop2/core/core|metro5/pop2/leaf/leaf15|0", - "metro4/pop1/core/core|metro5/pop1/leaf/leaf6|0", - "metro4/pop2/core/core|metro5/pop2/leaf/leaf4|0", "metro4/pop2/core/core|metro5/pop2/leaf/leaf8|0", + "metro4/pop1/core/core|metro5/pop1/leaf/leaf5|0", + "metro4/pop2/core/core|metro5/pop2/leaf/leaf16|0", + "metro4/pop2/core/core|metro5/pop2/leaf/leaf2|0", + "metro4/pop2/core/core|metro5/pop2/leaf/leaf7|0", + "metro4/pop1/core/core|metro5/pop1/leaf/leaf6|0", + "metro4/pop1/core/core|metro5/pop1/leaf/leaf14|0", "metro4/pop2/core/core|metro5/pop2/leaf/leaf5|0", - "metro4/pop1/core/core|metro5/pop1/leaf/leaf10|0", + "metro4/pop1/core/core|metro5/pop1/leaf/leaf12|0", + "metro3/pop1/core/core|metro4/pop1/core/core|0", "metro4/pop1/core/core|metro5/pop1/leaf/leaf16|0", - "metro4/pop1/core/core|metro5/pop1/leaf/leaf5|0" + "metro4/pop1/core/core|metro5/pop1/leaf/leaf1|0", + "metro4/pop1/core/core|metro5/pop1/leaf/leaf2|0", + "metro4/pop2/core/core|metro5/pop2/leaf/leaf6|0" ] }, "failure_trace": null, @@ -8272,8 +8272,8 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro2/pop1/leaf/leaf13|metro2/pop1/spine/spine4|0", "metro5/pop1/leaf/leaf7|metro5/pop1/spine/spine2|0", + "metro2/pop1/leaf/leaf13|metro2/pop1/spine/spine4|0", "metro1/pop2/leaf/leaf12|metro1/pop2/spine/spine4|0", "metro1/pop2/leaf/leaf7|metro1/pop2/spine/spine4|0" ] @@ -8624,10 +8624,10 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro5/pop1/leaf/leaf13|metro5/pop1/spine/spine3|0", "metro1/pop1/leaf/leaf11|metro1/pop1/spine/spine4|0", + "metro2/pop1/leaf/leaf11|metro2/pop1/spine/spine4|0", "metro2/pop2/leaf/leaf14|metro2/pop2/spine/spine4|0", - "metro2/pop1/leaf/leaf11|metro2/pop1/spine/spine4|0" + "metro5/pop1/leaf/leaf13|metro5/pop1/spine/spine3|0" ] }, "failure_trace": null, @@ -8738,9 +8738,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ + "metro1/pop1/leaf/leaf9|metro1/dc1/dc/dc|0", "metro2/pop1/leaf/leaf9|metro2/dc1/dc/dc|0", - "metro1/pop2/leaf/leaf6|metro1/dc1/dc/dc|0", - "metro1/pop1/leaf/leaf9|metro1/dc1/dc/dc|0" + "metro1/pop2/leaf/leaf6|metro1/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -8867,10 +8867,10 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro2/pop1/leaf/leaf4|metro2/pop1/spine/spine3|0", - "metro2/pop1/leaf/leaf7|metro2/pop1/spine/spine1|0", + "metro2/pop1/leaf/leaf11|metro2/pop1/spine/spine4|0", "metro2/pop2/leaf/leaf16|metro2/pop2/spine/spine3|0", - "metro2/pop1/leaf/leaf11|metro2/pop1/spine/spine4|0" + "metro2/pop1/leaf/leaf4|metro2/pop1/spine/spine3|0", + "metro2/pop1/leaf/leaf7|metro2/pop1/spine/spine1|0" ] }, "failure_trace": null, @@ -9095,8 +9095,8 @@ "excluded_nodes": [], "excluded_links": [ "metro5/pop2/leaf/leaf5|metro5/dc1/dc/dc|0", - "metro2/pop1/leaf/leaf1|metro2/dc1/dc/dc|0", - "metro5/pop2/leaf/leaf16|metro5/dc1/dc/dc|0" + "metro5/pop2/leaf/leaf16|metro5/dc1/dc/dc|0", + "metro2/pop1/leaf/leaf1|metro2/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -9324,8 +9324,8 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro1/pop1/leaf/leaf8|metro1/dc1/dc/dc|0", "metro1/pop1/leaf/leaf10|metro1/dc1/dc/dc|0", + "metro1/pop1/leaf/leaf8|metro1/dc1/dc/dc|0", "metro5/pop2/leaf/leaf11|metro5/dc1/dc/dc|0" ] }, @@ -9443,9 +9443,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro1/pop2/leaf/leaf10|metro1/dc1/dc/dc|0", + "metro5/pop1/leaf/leaf4|metro5/dc1/dc/dc|0", "metro2/pop2/leaf/leaf2|metro2/dc1/dc/dc|0", - "metro5/pop1/leaf/leaf4|metro5/dc1/dc/dc|0" + "metro1/pop2/leaf/leaf10|metro1/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -9792,70 +9792,70 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ + "metro1/pop2/leaf/leaf14|metro5/pop2/leaf/leaf14|0", + "metro1/pop1/leaf/leaf16|metro5/pop1/leaf/leaf16|0", + "metro1/pop2/leaf/leaf11|metro2/pop2/leaf/leaf11|0", + "metro1/pop1/leaf/leaf5|metro5/pop1/leaf/leaf5|0", + "metro1/pop2/leaf/leaf3|metro2/pop2/leaf/leaf3|0", + "metro1/pop1/leaf/leaf3|metro2/pop1/leaf/leaf3|0", + "metro1/pop1/leaf/leaf7|metro5/pop1/leaf/leaf7|0", + "metro1/pop2/leaf/leaf13|metro2/pop2/leaf/leaf13|0", + "metro1/pop1/leaf/leaf10|metro5/pop1/leaf/leaf10|0", + "metro1/pop2/leaf/leaf7|metro5/pop2/leaf/leaf7|0", + "metro1/pop2/leaf/leaf11|metro5/pop2/leaf/leaf11|0", + "metro1/pop1/leaf/leaf15|metro5/pop1/leaf/leaf15|0", "metro1/pop2/leaf/leaf6|metro2/pop2/leaf/leaf6|0", - "metro1/pop2/leaf/leaf7|metro2/pop2/leaf/leaf7|0", - "metro1/pop2/leaf/leaf16|metro2/pop2/leaf/leaf16|0", + "metro1/pop1/leaf/leaf12|metro5/pop1/leaf/leaf12|0", + "metro1/pop1/leaf/leaf4|metro5/pop1/leaf/leaf4|0", + "metro1/pop2/leaf/leaf1|metro5/pop2/leaf/leaf1|0", + "metro1/pop1/leaf/leaf3|metro5/pop1/leaf/leaf3|0", + "metro1/pop1/leaf/leaf5|metro2/pop1/leaf/leaf5|0", + "metro1/pop1/leaf/leaf8|metro5/pop1/leaf/leaf8|0", + "metro1/pop1/leaf/leaf12|metro2/pop1/leaf/leaf12|0", + "metro1/pop1/leaf/leaf13|metro5/pop1/leaf/leaf13|0", + "metro1/pop1/leaf/leaf11|metro5/pop1/leaf/leaf11|0", + "metro1/pop2/leaf/leaf9|metro2/pop2/leaf/leaf9|0", + "metro1/pop2/leaf/leaf2|metro5/pop2/leaf/leaf2|0", + "metro1/pop2/leaf/leaf12|metro5/pop2/leaf/leaf12|0", "metro1/pop2/leaf/leaf10|metro5/pop2/leaf/leaf10|0", - "metro1/pop2/leaf/leaf13|metro2/pop2/leaf/leaf13|0", "metro1/pop2/leaf/leaf15|metro2/pop2/leaf/leaf15|0", - "metro1/pop1/leaf/leaf3|metro5/pop1/leaf/leaf3|0", + "metro1/pop2/leaf/leaf5|metro2/pop2/leaf/leaf5|0", + "metro1/pop1/leaf/leaf14|metro5/pop1/leaf/leaf14|0", + "metro1/pop2/leaf/leaf16|metro2/pop2/leaf/leaf16|0", "metro1/pop2/leaf/leaf1|metro2/pop2/leaf/leaf1|0", - "metro1/pop1/leaf/leaf4|metro5/pop1/leaf/leaf4|0", - "metro1/pop2/leaf/leaf8|metro2/pop2/leaf/leaf8|0", - "metro1/pop2/leaf/leaf8|metro5/pop2/leaf/leaf8|0", "metro1/pop2/leaf/leaf15|metro5/pop2/leaf/leaf15|0", + "metro1/pop2/leaf/leaf8|metro5/pop2/leaf/leaf8|0", + "metro1/pop1/leaf/leaf11|metro2/pop1/leaf/leaf11|0", "metro1/pop1/leaf/leaf10|metro2/pop1/leaf/leaf10|0", + "metro1/pop2/leaf/leaf16|metro5/pop2/leaf/leaf16|0", + "metro1/pop1/leaf/leaf4|metro2/pop1/leaf/leaf4|0", + "metro1/pop1/leaf/leaf6|metro5/pop1/leaf/leaf6|0", + "metro1/pop1/leaf/leaf9|metro5/pop1/leaf/leaf9|0", + "metro1/pop2/leaf/leaf6|metro5/pop2/leaf/leaf6|0", + "metro1/pop2/leaf/leaf12|metro2/pop2/leaf/leaf12|0", + "metro1/pop1/leaf/leaf15|metro2/pop1/leaf/leaf15|0", + "metro1/pop1/leaf/leaf2|metro2/pop1/leaf/leaf2|0", + "metro1/pop1/leaf/leaf1|metro2/pop1/leaf/leaf1|0", + "metro1/pop2/leaf/leaf9|metro5/pop2/leaf/leaf9|0", "metro1/pop1/leaf/leaf7|metro2/pop1/leaf/leaf7|0", - "metro1/pop1/leaf/leaf13|metro2/pop1/leaf/leaf13|0", - "metro1/pop1/leaf/leaf8|metro5/pop1/leaf/leaf8|0", - "metro1/pop2/leaf/leaf9|metro2/pop2/leaf/leaf9|0", - "metro1/pop1/leaf/leaf2|metro5/pop1/leaf/leaf2|0", "metro1/pop2/leaf/leaf10|metro2/pop2/leaf/leaf10|0", - "metro1/pop2/leaf/leaf2|metro2/pop2/leaf/leaf2|0", + "metro1/pop2/leaf/leaf7|metro2/pop2/leaf/leaf7|0", "metro1/pop1/leaf/leaf1|metro5/pop1/leaf/leaf1|0", - "metro1/pop1/leaf/leaf7|metro5/pop1/leaf/leaf7|0", - "metro1/pop1/leaf/leaf12|metro5/pop1/leaf/leaf12|0", - "metro1/pop1/leaf/leaf1|metro2/pop1/leaf/leaf1|0", - "metro1/pop1/leaf/leaf10|metro5/pop1/leaf/leaf10|0", - "metro1/pop1/leaf/leaf15|metro2/pop1/leaf/leaf15|0", - "metro1/pop2/leaf/leaf14|metro5/pop2/leaf/leaf14|0", - "metro1/pop2/leaf/leaf3|metro2/pop2/leaf/leaf3|0", - "metro1/pop2/leaf/leaf7|metro5/pop2/leaf/leaf7|0", - "metro1/pop1/leaf/leaf9|metro2/pop1/leaf/leaf9|0", - "metro1/pop2/leaf/leaf9|metro5/pop2/leaf/leaf9|0", - "metro1/pop1/leaf/leaf4|metro2/pop1/leaf/leaf4|0", - "metro1/pop2/leaf/leaf6|metro5/pop2/leaf/leaf6|0", - "metro1/pop1/leaf/leaf5|metro5/pop1/leaf/leaf5|0", - "metro1/pop1/leaf/leaf13|metro5/pop1/leaf/leaf13|0", - "metro1/pop2/leaf/leaf11|metro5/pop2/leaf/leaf11|0", - "metro1/pop1/leaf/leaf11|metro5/pop1/leaf/leaf11|0", - "metro1/pop1/leaf/leaf16|metro5/pop1/leaf/leaf16|0", - "metro1/pop2/leaf/leaf14|metro2/pop2/leaf/leaf14|0", + "metro1/pop2/leaf/leaf2|metro2/pop2/leaf/leaf2|0", + "metro1/pop2/leaf/leaf3|metro5/pop2/leaf/leaf3|0", + "metro1/pop1/leaf/leaf14|metro2/pop1/leaf/leaf14|0", + "metro1/pop1/leaf/leaf13|metro2/pop1/leaf/leaf13|0", + "metro1/pop2/leaf/leaf13|metro5/pop2/leaf/leaf13|0", "metro1/pop1/leaf/leaf8|metro2/pop1/leaf/leaf8|0", "metro1/pop2/leaf/leaf4|metro2/pop2/leaf/leaf4|0", - "metro1/pop1/leaf/leaf9|metro5/pop1/leaf/leaf9|0", - "metro1/pop2/leaf/leaf1|metro5/pop2/leaf/leaf1|0", - "metro1/pop2/leaf/leaf2|metro5/pop2/leaf/leaf2|0", - "metro1/pop2/leaf/leaf13|metro5/pop2/leaf/leaf13|0", - "metro1/pop1/leaf/leaf3|metro2/pop1/leaf/leaf3|0", - "metro1/pop1/leaf/leaf14|metro5/pop1/leaf/leaf14|0", - "metro1/pop1/leaf/leaf14|metro2/pop1/leaf/leaf14|0", - "metro1/pop2/leaf/leaf12|metro2/pop2/leaf/leaf12|0", - "metro1/pop1/leaf/leaf6|metro2/pop1/leaf/leaf6|0", - "metro1/pop1/leaf/leaf12|metro2/pop1/leaf/leaf12|0", - "metro1/pop2/leaf/leaf4|metro5/pop2/leaf/leaf4|0", + "metro1/pop1/leaf/leaf9|metro2/pop1/leaf/leaf9|0", "metro1/pop2/leaf/leaf5|metro5/pop2/leaf/leaf5|0", - "metro1/pop2/leaf/leaf3|metro5/pop2/leaf/leaf3|0", - "metro1/pop2/leaf/leaf11|metro2/pop2/leaf/leaf11|0", - "metro1/pop1/leaf/leaf5|metro2/pop1/leaf/leaf5|0", - "metro1/pop1/leaf/leaf6|metro5/pop1/leaf/leaf6|0", - "metro1/pop1/leaf/leaf11|metro2/pop1/leaf/leaf11|0", - "metro1/pop2/leaf/leaf12|metro5/pop2/leaf/leaf12|0", - "metro1/pop1/leaf/leaf2|metro2/pop1/leaf/leaf2|0", - "metro1/pop2/leaf/leaf16|metro5/pop2/leaf/leaf16|0", - "metro1/pop1/leaf/leaf15|metro5/pop1/leaf/leaf15|0", "metro1/pop1/leaf/leaf16|metro2/pop1/leaf/leaf16|0", - "metro1/pop2/leaf/leaf5|metro2/pop2/leaf/leaf5|0" + "metro1/pop1/leaf/leaf2|metro5/pop1/leaf/leaf2|0", + "metro1/pop2/leaf/leaf4|metro5/pop2/leaf/leaf4|0", + "metro1/pop2/leaf/leaf14|metro2/pop2/leaf/leaf14|0", + "metro1/pop2/leaf/leaf8|metro2/pop2/leaf/leaf8|0", + "metro1/pop1/leaf/leaf6|metro2/pop1/leaf/leaf6|0" ] }, "failure_trace": null, @@ -9942,9 +9942,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro1/pop1/leaf/leaf2|metro1/dc1/dc/dc|0", "metro1/pop1/leaf/leaf9|metro1/dc1/dc/dc|0", - "metro2/pop2/leaf/leaf9|metro2/dc1/dc/dc|0" + "metro2/pop2/leaf/leaf9|metro2/dc1/dc/dc|0", + "metro1/pop1/leaf/leaf2|metro1/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -10069,9 +10069,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro5/pop2/leaf/leaf13|metro5/dc1/dc/dc|0", "metro5/pop1/leaf/leaf8|metro5/dc1/dc/dc|0", - "metro5/pop2/leaf/leaf7|metro5/dc1/dc/dc|0" + "metro5/pop2/leaf/leaf7|metro5/dc1/dc/dc|0", + "metro5/pop2/leaf/leaf13|metro5/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -10191,8 +10191,8 @@ "excluded_nodes": [], "excluded_links": [ "metro1/pop2/leaf/leaf3|metro1/dc1/dc/dc|0", - "metro1/pop2/leaf/leaf6|metro1/dc1/dc/dc|0", - "metro5/pop1/leaf/leaf5|metro5/dc1/dc/dc|0" + "metro5/pop1/leaf/leaf5|metro5/dc1/dc/dc|0", + "metro1/pop2/leaf/leaf6|metro1/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -10315,9 +10315,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ + "metro1/pop1/leaf/leaf14|metro1/dc1/dc/dc|0", "metro1/pop1/leaf/leaf12|metro1/dc1/dc/dc|0", - "metro2/pop1/leaf/leaf10|metro2/dc1/dc/dc|0", - "metro1/pop1/leaf/leaf14|metro1/dc1/dc/dc|0" + "metro2/pop1/leaf/leaf10|metro2/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -10435,8 +10435,8 @@ "excluded_nodes": [], "excluded_links": [ "metro5/pop2/leaf/leaf3|metro5/dc1/dc/dc|0", - "metro2/pop1/leaf/leaf15|metro2/dc1/dc/dc|0", - "metro2/pop2/leaf/leaf9|metro2/dc1/dc/dc|0" + "metro2/pop2/leaf/leaf9|metro2/dc1/dc/dc|0", + "metro2/pop1/leaf/leaf15|metro2/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -10557,9 +10557,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ + "metro5/pop2/leaf/leaf3|metro5/dc1/dc/dc|0", "metro5/pop1/leaf/leaf4|metro5/dc1/dc/dc|0", - "metro5/pop1/leaf/leaf16|metro5/dc1/dc/dc|0", - "metro5/pop2/leaf/leaf3|metro5/dc1/dc/dc|0" + "metro5/pop1/leaf/leaf16|metro5/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -10676,8 +10676,8 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro2/pop2/leaf/leaf1|metro2/dc1/dc/dc|0", "metro2/pop2/leaf/leaf4|metro2/dc1/dc/dc|0", + "metro2/pop2/leaf/leaf1|metro2/dc1/dc/dc|0", "metro5/pop1/leaf/leaf16|metro5/dc1/dc/dc|0" ] }, @@ -10920,8 +10920,8 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro1/pop2/leaf/leaf4|metro1/dc1/dc/dc|0", "metro1/pop1/leaf/leaf7|metro1/dc1/dc/dc|0", + "metro1/pop2/leaf/leaf4|metro1/dc1/dc/dc|0", "metro1/pop1/leaf/leaf12|metro1/dc1/dc/dc|0" ] }, @@ -11043,9 +11043,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ + "metro2/pop1/leaf/leaf7|metro2/pop1/spine/spine2|0", "metro2/pop2/leaf/leaf5|metro2/pop2/spine/spine4|0", "metro5/pop1/leaf/leaf16|metro5/pop1/spine/spine4|0", - "metro2/pop1/leaf/leaf7|metro2/pop1/spine/spine2|0", "metro2/pop2/leaf/leaf6|metro2/pop2/spine/spine3|0" ] }, @@ -11268,8 +11268,8 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro1/pop1/leaf/leaf7|metro1/dc1/dc/dc|0", "metro2/pop2/leaf/leaf5|metro2/dc1/dc/dc|0", + "metro1/pop1/leaf/leaf7|metro1/dc1/dc/dc|0", "metro2/pop2/leaf/leaf15|metro2/dc1/dc/dc|0" ] }, @@ -11395,8 +11395,8 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro2/pop1/leaf/leaf6|metro2/dc1/dc/dc|0", "metro2/pop2/leaf/leaf4|metro2/dc1/dc/dc|0", + "metro2/pop1/leaf/leaf6|metro2/dc1/dc/dc|0", "metro1/pop2/leaf/leaf11|metro1/dc1/dc/dc|0" ] }, @@ -11522,9 +11522,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro2/pop1/leaf/leaf13|metro2/dc1/dc/dc|0", "metro2/pop2/leaf/leaf15|metro2/dc1/dc/dc|0", - "metro2/pop1/leaf/leaf4|metro2/dc1/dc/dc|0" + "metro2/pop1/leaf/leaf4|metro2/dc1/dc/dc|0", + "metro2/pop1/leaf/leaf13|metro2/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -11761,8 +11761,8 @@ "excluded_nodes": [], "excluded_links": [ "metro1/pop1/leaf/leaf14|metro1/dc1/dc/dc|0", - "metro1/pop2/leaf/leaf12|metro1/dc1/dc/dc|0", - "metro5/pop2/leaf/leaf7|metro5/dc1/dc/dc|0" + "metro5/pop2/leaf/leaf7|metro5/dc1/dc/dc|0", + "metro1/pop2/leaf/leaf12|metro1/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -11879,8 +11879,8 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro2/pop1/leaf/leaf8|metro2/dc1/dc/dc|0", "metro2/pop1/leaf/leaf7|metro2/dc1/dc/dc|0", + "metro2/pop1/leaf/leaf8|metro2/dc1/dc/dc|0", "metro5/pop1/leaf/leaf15|metro5/dc1/dc/dc|0" ] }, @@ -12114,9 +12114,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ + "metro2/pop1/leaf/leaf12|metro2/dc1/dc/dc|0", "metro5/pop1/leaf/leaf15|metro5/dc1/dc/dc|0", - "metro1/pop1/leaf/leaf6|metro1/dc1/dc/dc|0", - "metro2/pop1/leaf/leaf12|metro2/dc1/dc/dc|0" + "metro1/pop1/leaf/leaf6|metro1/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -12348,8 +12348,8 @@ "excluded_nodes": [], "excluded_links": [ "metro2/pop2/leaf/leaf9|metro2/dc1/dc/dc|0", - "metro2/pop1/leaf/leaf5|metro2/dc1/dc/dc|0", - "metro1/pop1/leaf/leaf3|metro1/dc1/dc/dc|0" + "metro1/pop1/leaf/leaf3|metro1/dc1/dc/dc|0", + "metro2/pop1/leaf/leaf5|metro2/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -12475,8 +12475,8 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro5/pop1/leaf/leaf6|metro5/dc1/dc/dc|0", "metro1/pop1/leaf/leaf14|metro1/dc1/dc/dc|0", + "metro5/pop1/leaf/leaf6|metro5/dc1/dc/dc|0", "metro2/pop2/leaf/leaf10|metro2/dc1/dc/dc|0" ] }, @@ -12838,10 +12838,10 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro5/pop1/leaf/leaf6|metro5/pop1/spine/spine4|0", "metro5/pop2/leaf/leaf4|metro5/pop2/spine/spine4|0", "metro1/pop1/leaf/leaf7|metro1/pop1/spine/spine4|0", - "metro2/pop2/leaf/leaf8|metro2/pop2/spine/spine4|0" + "metro2/pop2/leaf/leaf8|metro2/pop2/spine/spine4|0", + "metro5/pop1/leaf/leaf6|metro5/pop1/spine/spine4|0" ] }, "failure_trace": null, @@ -13291,10 +13291,10 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro5/pop1/leaf/leaf15|metro5/pop1/spine/spine2|0", - "metro5/pop1/leaf/leaf6|metro5/pop1/spine/spine3|0", "metro2/pop2/leaf/leaf10|metro2/pop2/spine/spine2|0", - "metro5/pop1/leaf/leaf11|metro5/pop1/spine/spine2|0" + "metro5/pop1/leaf/leaf15|metro5/pop1/spine/spine2|0", + "metro5/pop1/leaf/leaf11|metro5/pop1/spine/spine2|0", + "metro5/pop1/leaf/leaf6|metro5/pop1/spine/spine3|0" ] }, "failure_trace": null, @@ -13527,9 +13527,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ + "metro5/pop1/leaf/leaf4|metro5/dc1/dc/dc|0", "metro1/pop2/leaf/leaf1|metro1/dc1/dc/dc|0", - "metro5/pop1/leaf/leaf2|metro5/dc1/dc/dc|0", - "metro5/pop1/leaf/leaf4|metro5/dc1/dc/dc|0" + "metro5/pop1/leaf/leaf2|metro5/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -13646,8 +13646,8 @@ "excluded_links": [ "metro1/pop2/leaf/leaf1|metro1/pop2/spine/spine3|0", "metro2/pop2/leaf/leaf13|metro2/pop2/spine/spine1|0", - "metro1/pop1/leaf/leaf4|metro1/pop1/spine/spine4|0", - "metro5/pop2/leaf/leaf11|metro5/pop2/spine/spine3|0" + "metro5/pop2/leaf/leaf11|metro5/pop2/spine/spine3|0", + "metro1/pop1/leaf/leaf4|metro1/pop1/spine/spine4|0" ] }, "failure_trace": null, @@ -14224,10 +14224,10 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro2/pop2/leaf/leaf1|metro2/pop2/spine/spine4|0", - "metro5/pop1/leaf/leaf14|metro5/pop1/spine/spine2|0", "metro2/pop2/leaf/leaf2|metro2/pop2/spine/spine4|0", - "metro1/pop2/leaf/leaf4|metro1/pop2/spine/spine4|0" + "metro5/pop1/leaf/leaf14|metro5/pop1/spine/spine2|0", + "metro1/pop2/leaf/leaf4|metro1/pop2/spine/spine4|0", + "metro2/pop2/leaf/leaf1|metro2/pop2/spine/spine4|0" ] }, "failure_trace": null, @@ -14338,9 +14338,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro2/pop2/leaf/leaf3|metro2/dc1/dc/dc|0", + "metro1/pop1/leaf/leaf9|metro1/dc1/dc/dc|0", "metro2/pop2/leaf/leaf5|metro2/dc1/dc/dc|0", - "metro1/pop1/leaf/leaf9|metro1/dc1/dc/dc|0" + "metro2/pop2/leaf/leaf3|metro2/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -14691,9 +14691,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro2/pop1/leaf/leaf14|metro2/dc1/dc/dc|0", + "metro5/pop2/leaf/leaf7|metro5/dc1/dc/dc|0", "metro1/pop2/leaf/leaf9|metro1/dc1/dc/dc|0", - "metro5/pop2/leaf/leaf7|metro5/dc1/dc/dc|0" + "metro2/pop1/leaf/leaf14|metro2/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -14814,8 +14814,8 @@ "excluded_nodes": [], "excluded_links": [ "metro1/pop1/leaf/leaf16|metro1/dc1/dc/dc|0", - "metro2/pop2/leaf/leaf14|metro2/dc1/dc/dc|0", - "metro2/pop1/leaf/leaf5|metro2/dc1/dc/dc|0" + "metro2/pop1/leaf/leaf5|metro2/dc1/dc/dc|0", + "metro2/pop2/leaf/leaf14|metro2/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -14939,10 +14939,10 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro1/pop2/leaf/leaf1|metro1/pop2/spine/spine3|0", - "metro1/pop2/leaf/leaf3|metro1/pop2/spine/spine4|0", "metro2/pop2/leaf/leaf3|metro2/pop2/spine/spine1|0", - "metro5/pop2/leaf/leaf7|metro5/pop2/spine/spine4|0" + "metro5/pop2/leaf/leaf7|metro5/pop2/spine/spine4|0", + "metro1/pop2/leaf/leaf1|metro1/pop2/spine/spine3|0", + "metro1/pop2/leaf/leaf3|metro1/pop2/spine/spine4|0" ] }, "failure_trace": null, @@ -15166,9 +15166,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro2/pop2/leaf/leaf7|metro2/dc1/dc/dc|0", "metro5/pop1/leaf/leaf10|metro5/dc1/dc/dc|0", - "metro5/pop1/leaf/leaf11|metro5/dc1/dc/dc|0" + "metro5/pop1/leaf/leaf11|metro5/dc1/dc/dc|0", + "metro2/pop2/leaf/leaf7|metro2/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -15293,9 +15293,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ + "metro5/pop2/leaf/leaf16|metro5/dc1/dc/dc|0", "metro2/pop2/leaf/leaf7|metro2/dc1/dc/dc|0", - "metro1/pop2/leaf/leaf5|metro1/dc1/dc/dc|0", - "metro5/pop2/leaf/leaf16|metro5/dc1/dc/dc|0" + "metro1/pop2/leaf/leaf5|metro1/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -15420,8 +15420,8 @@ "excluded_nodes": [], "excluded_links": [ "metro1/pop1/leaf/leaf12|metro1/dc1/dc/dc|0", - "metro2/pop2/leaf/leaf10|metro2/dc1/dc/dc|0", - "metro2/pop2/leaf/leaf16|metro2/dc1/dc/dc|0" + "metro2/pop2/leaf/leaf16|metro2/dc1/dc/dc|0", + "metro2/pop2/leaf/leaf10|metro2/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -15542,10 +15542,10 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro5/pop1/leaf/leaf2|metro5/pop1/spine/spine4|0", + "metro5/pop1/leaf/leaf15|metro5/pop1/spine/spine3|0", "metro2/pop2/leaf/leaf10|metro2/pop2/spine/spine4|0", "metro5/pop2/leaf/leaf4|metro5/pop2/spine/spine3|0", - "metro5/pop1/leaf/leaf15|metro5/pop1/spine/spine3|0" + "metro5/pop1/leaf/leaf2|metro5/pop1/spine/spine4|0" ] }, "failure_trace": null, @@ -15767,9 +15767,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro1/pop1/leaf/leaf10|metro1/dc1/dc/dc|0", "metro5/pop1/leaf/leaf8|metro5/dc1/dc/dc|0", - "metro1/pop2/leaf/leaf9|metro1/dc1/dc/dc|0" + "metro1/pop2/leaf/leaf9|metro1/dc1/dc/dc|0", + "metro1/pop1/leaf/leaf10|metro1/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -15894,9 +15894,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ + "metro1/pop2/leaf/leaf5|metro1/dc1/dc/dc|0", "metro1/pop2/leaf/leaf1|metro1/dc1/dc/dc|0", - "metro2/pop2/leaf/leaf13|metro2/dc1/dc/dc|0", - "metro1/pop2/leaf/leaf5|metro1/dc1/dc/dc|0" + "metro2/pop2/leaf/leaf13|metro2/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -16016,9 +16016,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro1/pop2/leaf/leaf4|metro1/dc1/dc/dc|0", + "metro5/pop2/leaf/leaf16|metro5/dc1/dc/dc|0", "metro5/pop2/leaf/leaf2|metro5/dc1/dc/dc|0", - "metro5/pop2/leaf/leaf16|metro5/dc1/dc/dc|0" + "metro1/pop2/leaf/leaf4|metro1/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -16248,8 +16248,8 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro2/pop1/leaf/leaf10|metro2/dc1/dc/dc|0", "metro1/pop1/leaf/leaf14|metro1/dc1/dc/dc|0", + "metro2/pop1/leaf/leaf10|metro2/dc1/dc/dc|0", "metro1/pop2/leaf/leaf2|metro1/dc1/dc/dc|0" ] }, @@ -16485,8 +16485,8 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro2/pop2/leaf/leaf11|metro2/pop2/spine/spine3|0", "metro5/pop1/leaf/leaf16|metro5/pop1/spine/spine1|0", + "metro2/pop2/leaf/leaf11|metro2/pop2/spine/spine3|0", "metro2/pop2/leaf/leaf4|metro2/pop2/spine/spine4|0", "metro5/pop1/leaf/leaf16|metro5/pop1/spine/spine3|0" ] @@ -16599,10 +16599,10 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro5/pop2/leaf/leaf8|metro5/pop2/spine/spine2|0", - "metro5/pop1/leaf/leaf14|metro5/pop1/spine/spine1|0", "metro1/pop2/leaf/leaf2|metro1/pop2/spine/spine4|0", - "metro5/pop1/leaf/leaf15|metro5/pop1/spine/spine2|0" + "metro5/pop1/leaf/leaf15|metro5/pop1/spine/spine2|0", + "metro5/pop2/leaf/leaf8|metro5/pop2/spine/spine2|0", + "metro5/pop1/leaf/leaf14|metro5/pop1/spine/spine1|0" ] }, "failure_trace": null, @@ -16713,10 +16713,10 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro5/pop2/leaf/leaf8|metro5/pop2/spine/spine2|0", + "metro2/pop1/leaf/leaf11|metro2/pop1/spine/spine4|0", "metro1/pop1/leaf/leaf15|metro1/pop1/spine/spine2|0", "metro1/pop1/leaf/leaf6|metro1/pop1/spine/spine4|0", - "metro2/pop1/leaf/leaf11|metro2/pop1/spine/spine4|0" + "metro5/pop2/leaf/leaf8|metro5/pop2/spine/spine2|0" ] }, "failure_trace": null, @@ -16940,10 +16940,10 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ + "metro2/pop1/leaf/leaf14|metro2/pop1/spine/spine1|0", "metro5/pop1/leaf/leaf15|metro5/pop1/spine/spine2|0", "metro1/pop2/leaf/leaf12|metro1/pop2/spine/spine2|0", - "metro2/pop1/leaf/leaf1|metro2/pop1/spine/spine3|0", - "metro2/pop1/leaf/leaf14|metro2/pop1/spine/spine1|0" + "metro2/pop1/leaf/leaf1|metro2/pop1/spine/spine3|0" ] }, "failure_trace": null, @@ -17290,9 +17290,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro5/pop1/leaf/leaf14|metro5/dc1/dc/dc|0", + "metro1/pop1/leaf/leaf13|metro1/dc1/dc/dc|0", "metro5/pop1/leaf/leaf5|metro5/dc1/dc/dc|0", - "metro1/pop1/leaf/leaf13|metro1/dc1/dc/dc|0" + "metro5/pop1/leaf/leaf14|metro5/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -17410,9 +17410,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro2/pop1/leaf/leaf11|metro2/dc1/dc/dc|0", "metro2/pop2/leaf/leaf5|metro2/dc1/dc/dc|0", - "metro2/pop2/leaf/leaf14|metro2/dc1/dc/dc|0" + "metro2/pop2/leaf/leaf14|metro2/dc1/dc/dc|0", + "metro2/pop1/leaf/leaf11|metro2/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -17535,10 +17535,10 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro2/pop2/leaf/leaf5|metro2/pop2/spine/spine2|0", + "metro5/pop2/leaf/leaf13|metro5/pop2/spine/spine3|0", "metro1/pop1/leaf/leaf9|metro1/pop1/spine/spine4|0", "metro2/pop2/leaf/leaf8|metro2/pop2/spine/spine3|0", - "metro5/pop2/leaf/leaf13|metro5/pop2/spine/spine3|0" + "metro2/pop2/leaf/leaf5|metro2/pop2/spine/spine2|0" ] }, "failure_trace": null, @@ -17649,9 +17649,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro2/pop1/leaf/leaf13|metro2/dc1/dc/dc|0", "metro1/pop2/leaf/leaf3|metro1/dc1/dc/dc|0", - "metro5/pop1/leaf/leaf15|metro5/dc1/dc/dc|0" + "metro5/pop1/leaf/leaf15|metro5/dc1/dc/dc|0", + "metro2/pop1/leaf/leaf13|metro2/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -17887,8 +17887,8 @@ "excluded_nodes": [], "excluded_links": [ "metro2/pop2/leaf/leaf8|metro2/dc1/dc/dc|0", - "metro2/pop1/leaf/leaf16|metro2/dc1/dc/dc|0", - "metro5/pop2/leaf/leaf10|metro5/dc1/dc/dc|0" + "metro5/pop2/leaf/leaf10|metro5/dc1/dc/dc|0", + "metro2/pop1/leaf/leaf16|metro2/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -18009,9 +18009,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro1/pop2/leaf/leaf12|metro1/pop2/spine/spine2|0", - "metro5/pop1/leaf/leaf9|metro5/pop1/spine/spine3|0", "metro1/pop2/leaf/leaf15|metro1/pop2/spine/spine4|0", + "metro5/pop1/leaf/leaf9|metro5/pop1/spine/spine3|0", + "metro1/pop2/leaf/leaf12|metro1/pop2/spine/spine2|0", "metro1/pop1/leaf/leaf11|metro1/pop1/spine/spine2|0" ] }, @@ -18124,8 +18124,8 @@ "excluded_nodes": [], "excluded_links": [ "metro1/pop1/leaf/leaf5|metro1/dc1/dc/dc|0", - "metro2/pop1/leaf/leaf14|metro2/dc1/dc/dc|0", - "metro5/pop1/leaf/leaf12|metro5/dc1/dc/dc|0" + "metro5/pop1/leaf/leaf12|metro5/dc1/dc/dc|0", + "metro2/pop1/leaf/leaf14|metro2/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -18246,9 +18246,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro2/pop1/leaf/leaf13|metro2/dc1/dc/dc|0", "metro5/pop2/leaf/leaf4|metro5/dc1/dc/dc|0", - "metro2/pop1/leaf/leaf7|metro2/dc1/dc/dc|0" + "metro2/pop1/leaf/leaf7|metro2/dc1/dc/dc|0", + "metro2/pop1/leaf/leaf13|metro2/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -18368,8 +18368,8 @@ "excluded_nodes": [], "excluded_links": [ "metro5/pop2/leaf/leaf11|metro5/dc1/dc/dc|0", - "metro2/pop2/leaf/leaf10|metro2/dc1/dc/dc|0", - "metro5/pop1/leaf/leaf1|metro5/dc1/dc/dc|0" + "metro5/pop1/leaf/leaf1|metro5/dc1/dc/dc|0", + "metro2/pop2/leaf/leaf10|metro2/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -18494,9 +18494,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ + "metro1/pop2/leaf/leaf14|metro1/dc1/dc/dc|0", "metro2/pop1/leaf/leaf6|metro2/dc1/dc/dc|0", - "metro1/pop2/leaf/leaf10|metro1/dc1/dc/dc|0", - "metro1/pop2/leaf/leaf14|metro1/dc1/dc/dc|0" + "metro1/pop2/leaf/leaf10|metro1/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -18618,9 +18618,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro5/pop2/leaf/leaf13|metro5/dc1/dc/dc|0", + "metro5/pop2/leaf/leaf12|metro5/dc1/dc/dc|0", "metro2/pop1/leaf/leaf5|metro2/dc1/dc/dc|0", - "metro5/pop2/leaf/leaf12|metro5/dc1/dc/dc|0" + "metro5/pop2/leaf/leaf13|metro5/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -18852,9 +18852,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro5/pop1/leaf/leaf2|metro5/dc1/dc/dc|0", "metro1/pop1/leaf/leaf7|metro1/dc1/dc/dc|0", - "metro5/pop1/leaf/leaf5|metro5/dc1/dc/dc|0" + "metro5/pop1/leaf/leaf5|metro5/dc1/dc/dc|0", + "metro5/pop1/leaf/leaf2|metro5/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -18972,8 +18972,8 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro5/pop2/leaf/leaf14|metro5/dc1/dc/dc|0", "metro1/pop2/leaf/leaf4|metro1/dc1/dc/dc|0", + "metro5/pop2/leaf/leaf14|metro5/dc1/dc/dc|0", "metro1/pop1/leaf/leaf11|metro1/dc1/dc/dc|0" ] }, @@ -19337,9 +19337,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro5/pop1/leaf/leaf15|metro5/dc1/dc/dc|0", + "metro5/pop2/leaf/leaf16|metro5/dc1/dc/dc|0", "metro5/pop2/leaf/leaf9|metro5/dc1/dc/dc|0", - "metro5/pop2/leaf/leaf16|metro5/dc1/dc/dc|0" + "metro5/pop1/leaf/leaf15|metro5/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -19458,8 +19458,8 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro2/pop2/leaf/leaf7|metro2/dc1/dc/dc|0", "metro5/pop1/leaf/leaf15|metro5/dc1/dc/dc|0", + "metro2/pop2/leaf/leaf7|metro2/dc1/dc/dc|0", "metro5/pop1/leaf/leaf1|metro5/dc1/dc/dc|0" ] }, @@ -19586,8 +19586,8 @@ "excluded_nodes": [], "excluded_links": [ "metro5/pop1/leaf/leaf3|metro5/dc1/dc/dc|0", - "metro1/pop1/leaf/leaf15|metro1/dc1/dc/dc|0", - "metro1/pop2/leaf/leaf4|metro1/dc1/dc/dc|0" + "metro1/pop2/leaf/leaf4|metro1/dc1/dc/dc|0", + "metro1/pop1/leaf/leaf15|metro1/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -19711,9 +19711,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ + "metro1/pop1/leaf/leaf12|metro1/dc1/dc/dc|0", "metro1/pop2/leaf/leaf1|metro1/dc1/dc/dc|0", - "metro2/pop1/leaf/leaf16|metro2/dc1/dc/dc|0", - "metro1/pop1/leaf/leaf12|metro1/dc1/dc/dc|0" + "metro2/pop1/leaf/leaf16|metro2/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -19943,9 +19943,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro1/pop1/leaf/leaf15|metro1/pop1/spine/spine1|0", "metro1/pop2/leaf/leaf13|metro1/pop2/spine/spine2|0", "metro2/pop2/leaf/leaf12|metro2/pop2/spine/spine4|0", + "metro1/pop1/leaf/leaf15|metro1/pop1/spine/spine1|0", "metro5/pop2/leaf/leaf14|metro5/pop2/spine/spine4|0" ] }, @@ -20057,9 +20057,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ + "metro2/pop2/leaf/leaf9|metro2/dc1/dc/dc|0", "metro1/pop1/leaf/leaf4|metro1/dc1/dc/dc|0", - "metro1/pop1/leaf/leaf6|metro1/dc1/dc/dc|0", - "metro2/pop2/leaf/leaf9|metro2/dc1/dc/dc|0" + "metro1/pop1/leaf/leaf6|metro1/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -20184,10 +20184,10 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro5/pop2/leaf/leaf2|metro5/pop2/spine/spine4|0", "metro5/pop2/leaf/leaf3|metro5/pop2/spine/spine3|0", "metro1/pop2/leaf/leaf9|metro1/pop2/spine/spine3|0", - "metro1/pop2/leaf/leaf2|metro1/pop2/spine/spine4|0" + "metro1/pop2/leaf/leaf2|metro1/pop2/spine/spine4|0", + "metro5/pop2/leaf/leaf2|metro5/pop2/spine/spine4|0" ] }, "failure_trace": null, @@ -20298,9 +20298,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro1/pop1/leaf/leaf2|metro1/dc1/dc/dc|0", "metro2/pop2/leaf/leaf4|metro2/dc1/dc/dc|0", - "metro1/pop1/leaf/leaf3|metro1/dc1/dc/dc|0" + "metro1/pop1/leaf/leaf3|metro1/dc1/dc/dc|0", + "metro1/pop1/leaf/leaf2|metro1/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -20421,8 +20421,8 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro1/pop1/leaf/leaf8|metro1/dc1/dc/dc|0", "metro1/pop1/leaf/leaf5|metro1/dc1/dc/dc|0", + "metro1/pop1/leaf/leaf8|metro1/dc1/dc/dc|0", "metro2/pop1/leaf/leaf15|metro2/dc1/dc/dc|0" ] }, @@ -20764,10 +20764,10 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro5/pop1/leaf/leaf8|metro5/pop1/spine/spine2|0", + "metro1/pop2/leaf/leaf8|metro1/pop2/spine/spine4|0", "metro5/pop1/leaf/leaf12|metro5/pop1/spine/spine1|0", - "metro1/pop1/leaf/leaf1|metro1/pop1/spine/spine4|0", - "metro1/pop2/leaf/leaf8|metro1/pop2/spine/spine4|0" + "metro5/pop1/leaf/leaf8|metro5/pop1/spine/spine2|0", + "metro1/pop1/leaf/leaf1|metro1/pop1/spine/spine4|0" ] }, "failure_trace": null, @@ -20878,9 +20878,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro2/pop1/leaf/leaf13|metro2/dc1/dc/dc|0", "metro1/pop2/leaf/leaf14|metro1/dc1/dc/dc|0", - "metro2/pop2/leaf/leaf15|metro2/dc1/dc/dc|0" + "metro2/pop2/leaf/leaf15|metro2/dc1/dc/dc|0", + "metro2/pop1/leaf/leaf13|metro2/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -21002,9 +21002,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ + "metro1/pop2/leaf/leaf2|metro1/dc1/dc/dc|0", "metro1/pop1/leaf/leaf5|metro1/dc1/dc/dc|0", - "metro2/pop1/leaf/leaf14|metro2/dc1/dc/dc|0", - "metro1/pop2/leaf/leaf2|metro1/dc1/dc/dc|0" + "metro2/pop1/leaf/leaf14|metro2/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -21463,9 +21463,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro1/pop2/leaf/leaf8|metro1/dc1/dc/dc|0", "metro2/pop1/leaf/leaf10|metro2/dc1/dc/dc|0", - "metro5/pop2/leaf/leaf12|metro5/dc1/dc/dc|0" + "metro5/pop2/leaf/leaf12|metro5/dc1/dc/dc|0", + "metro1/pop2/leaf/leaf8|metro1/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -21585,10 +21585,10 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro5/pop2/leaf/leaf4|metro5/pop2/spine/spine2|0", + "metro5/pop2/leaf/leaf13|metro5/pop2/spine/spine2|0", "metro2/pop2/leaf/leaf13|metro2/pop2/spine/spine3|0", "metro5/pop2/leaf/leaf7|metro5/pop2/spine/spine2|0", - "metro5/pop2/leaf/leaf13|metro5/pop2/spine/spine2|0" + "metro5/pop2/leaf/leaf4|metro5/pop2/spine/spine2|0" ] }, "failure_trace": null, @@ -21699,9 +21699,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro2/pop1/leaf/leaf13|metro2/dc1/dc/dc|0", + "metro2/pop1/leaf/leaf9|metro2/dc1/dc/dc|0", "metro5/pop2/leaf/leaf14|metro5/dc1/dc/dc|0", - "metro2/pop1/leaf/leaf9|metro2/dc1/dc/dc|0" + "metro2/pop1/leaf/leaf13|metro2/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -21820,8 +21820,8 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro2/pop2/leaf/leaf13|metro2/dc1/dc/dc|0", "metro2/pop2/leaf/leaf14|metro2/dc1/dc/dc|0", + "metro2/pop2/leaf/leaf13|metro2/dc1/dc/dc|0", "metro2/pop2/leaf/leaf3|metro2/dc1/dc/dc|0" ] }, @@ -21939,9 +21939,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ + "metro5/pop2/leaf/leaf3|metro5/dc1/dc/dc|0", "metro5/pop2/leaf/leaf13|metro5/dc1/dc/dc|0", - "metro2/pop1/leaf/leaf15|metro2/dc1/dc/dc|0", - "metro5/pop2/leaf/leaf3|metro5/dc1/dc/dc|0" + "metro2/pop1/leaf/leaf15|metro2/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -22170,8 +22170,8 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro2/pop1/leaf/leaf9|metro2/dc1/dc/dc|0", "metro2/pop2/leaf/leaf4|metro2/dc1/dc/dc|0", + "metro2/pop1/leaf/leaf9|metro2/dc1/dc/dc|0", "metro1/pop2/leaf/leaf6|metro1/dc1/dc/dc|0" ] }, @@ -22411,8 +22411,8 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro5/pop2/leaf/leaf9|metro5/dc1/dc/dc|0", "metro1/pop2/leaf/leaf3|metro1/dc1/dc/dc|0", + "metro5/pop2/leaf/leaf9|metro5/dc1/dc/dc|0", "metro5/pop1/leaf/leaf1|metro5/dc1/dc/dc|0" ] }, @@ -22657,10 +22657,10 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro1/pop1/leaf/leaf14|metro1/pop1/spine/spine4|0", + "metro1/pop2/leaf/leaf14|metro1/pop2/spine/spine3|0", "metro2/pop2/leaf/leaf7|metro2/pop2/spine/spine2|0", "metro2/pop1/leaf/leaf6|metro2/pop1/spine/spine4|0", - "metro1/pop2/leaf/leaf14|metro1/pop2/spine/spine3|0" + "metro1/pop1/leaf/leaf14|metro1/pop1/spine/spine4|0" ] }, "failure_trace": null, @@ -22771,10 +22771,10 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro1/pop2/leaf/leaf7|metro1/pop2/spine/spine2|0", + "metro1/pop2/leaf/leaf5|metro1/pop2/spine/spine2|0", "metro5/pop1/leaf/leaf7|metro5/pop1/spine/spine1|0", "metro5/pop2/leaf/leaf7|metro5/pop2/spine/spine2|0", - "metro1/pop2/leaf/leaf5|metro1/pop2/spine/spine2|0" + "metro1/pop2/leaf/leaf7|metro1/pop2/spine/spine2|0" ] }, "failure_trace": null, @@ -23009,9 +23009,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro1/pop2/leaf/leaf1|metro1/dc1/dc/dc|0", "metro1/pop1/leaf/leaf9|metro1/dc1/dc/dc|0", - "metro2/pop2/leaf/leaf9|metro2/dc1/dc/dc|0" + "metro2/pop2/leaf/leaf9|metro2/dc1/dc/dc|0", + "metro1/pop2/leaf/leaf1|metro1/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -23136,9 +23136,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ + "metro2/pop2/leaf/leaf5|metro2/dc1/dc/dc|0", "metro1/pop1/leaf/leaf12|metro1/dc1/dc/dc|0", - "metro5/pop1/leaf/leaf14|metro5/dc1/dc/dc|0", - "metro2/pop2/leaf/leaf5|metro2/dc1/dc/dc|0" + "metro5/pop1/leaf/leaf14|metro5/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -23374,8 +23374,8 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro5/pop2/leaf/leaf1|metro5/dc1/dc/dc|0", "metro1/pop2/leaf/leaf3|metro1/dc1/dc/dc|0", + "metro5/pop2/leaf/leaf1|metro5/dc1/dc/dc|0", "metro5/pop2/leaf/leaf2|metro5/dc1/dc/dc|0" ] }, @@ -23496,8 +23496,8 @@ "excluded_nodes": [], "excluded_links": [ "metro1/pop2/leaf/leaf3|metro1/dc1/dc/dc|0", - "metro2/pop2/leaf/leaf2|metro2/dc1/dc/dc|0", - "metro5/pop2/leaf/leaf15|metro5/dc1/dc/dc|0" + "metro5/pop2/leaf/leaf15|metro5/dc1/dc/dc|0", + "metro2/pop2/leaf/leaf2|metro2/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -23970,8 +23970,8 @@ "excluded_nodes": [], "excluded_links": [ "metro5/pop2/leaf/leaf1|metro5/dc1/dc/dc|0", - "metro2/pop2/leaf/leaf13|metro2/dc1/dc/dc|0", - "metro2/pop2/leaf/leaf9|metro2/dc1/dc/dc|0" + "metro2/pop2/leaf/leaf9|metro2/dc1/dc/dc|0", + "metro2/pop2/leaf/leaf13|metro2/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -24094,10 +24094,10 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro1/pop2/leaf/leaf6|metro1/pop2/spine/spine1|0", - "metro2/pop2/leaf/leaf16|metro2/pop2/spine/spine4|0", "metro2/pop1/leaf/leaf7|metro2/pop1/spine/spine2|0", - "metro2/pop1/leaf/leaf14|metro2/pop1/spine/spine3|0" + "metro2/pop1/leaf/leaf14|metro2/pop1/spine/spine3|0", + "metro2/pop2/leaf/leaf16|metro2/pop2/spine/spine4|0", + "metro1/pop2/leaf/leaf6|metro1/pop2/spine/spine1|0" ] }, "failure_trace": null, @@ -24208,9 +24208,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro2/pop1/leaf/leaf11|metro2/dc1/dc/dc|0", + "metro5/pop2/leaf/leaf7|metro5/dc1/dc/dc|0", "metro1/pop2/leaf/leaf5|metro1/dc1/dc/dc|0", - "metro5/pop2/leaf/leaf7|metro5/dc1/dc/dc|0" + "metro2/pop1/leaf/leaf11|metro2/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -24444,8 +24444,8 @@ "excluded_nodes": [], "excluded_links": [ "metro1/pop2/leaf/leaf3|metro1/dc1/dc/dc|0", - "metro1/pop2/leaf/leaf12|metro1/dc1/dc/dc|0", - "metro5/pop2/leaf/leaf16|metro5/dc1/dc/dc|0" + "metro5/pop2/leaf/leaf16|metro5/dc1/dc/dc|0", + "metro1/pop2/leaf/leaf12|metro1/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -24683,9 +24683,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro1/pop1/leaf/leaf9|metro1/dc1/dc/dc|0", + "metro5/pop2/leaf/leaf3|metro5/dc1/dc/dc|0", "metro5/pop2/leaf/leaf16|metro5/dc1/dc/dc|0", - "metro5/pop2/leaf/leaf3|metro5/dc1/dc/dc|0" + "metro1/pop1/leaf/leaf9|metro1/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -24802,9 +24802,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro1/pop1/leaf/leaf3|metro1/dc1/dc/dc|0", + "metro5/pop2/leaf/leaf6|metro5/dc1/dc/dc|0", "metro2/pop2/leaf/leaf2|metro2/dc1/dc/dc|0", - "metro5/pop2/leaf/leaf6|metro5/dc1/dc/dc|0" + "metro1/pop1/leaf/leaf3|metro1/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -25036,9 +25036,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro2/pop2/leaf/leaf3|metro2/dc1/dc/dc|0", "metro1/pop2/leaf/leaf12|metro1/dc1/dc/dc|0", - "metro1/pop2/leaf/leaf2|metro1/dc1/dc/dc|0" + "metro1/pop2/leaf/leaf2|metro1/dc1/dc/dc|0", + "metro2/pop2/leaf/leaf3|metro2/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -25158,9 +25158,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro5/pop1/leaf/leaf7|metro5/pop1/spine/spine2|0", "metro2/pop2/leaf/leaf2|metro2/pop2/spine/spine1|0", "metro5/pop1/leaf/leaf12|metro5/pop1/spine/spine2|0", + "metro5/pop1/leaf/leaf7|metro5/pop1/spine/spine2|0", "metro1/pop1/leaf/leaf15|metro1/pop1/spine/spine3|0" ] }, @@ -25272,9 +25272,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ + "metro1/pop2/leaf/leaf12|metro1/dc1/dc/dc|0", "metro2/pop1/leaf/leaf9|metro2/dc1/dc/dc|0", - "metro1/pop1/leaf/leaf6|metro1/dc1/dc/dc|0", - "metro1/pop2/leaf/leaf12|metro1/dc1/dc/dc|0" + "metro1/pop1/leaf/leaf6|metro1/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -25393,9 +25393,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro2/pop1/leaf/leaf10|metro2/dc1/dc/dc|0", + "metro2/pop2/leaf/leaf5|metro2/dc1/dc/dc|0", "metro2/pop1/leaf/leaf3|metro2/dc1/dc/dc|0", - "metro2/pop2/leaf/leaf5|metro2/dc1/dc/dc|0" + "metro2/pop1/leaf/leaf10|metro2/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -25516,9 +25516,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ + "metro2/pop2/leaf/leaf2|metro2/dc1/dc/dc|0", "metro2/pop1/leaf/leaf6|metro2/dc1/dc/dc|0", - "metro5/pop1/leaf/leaf14|metro5/dc1/dc/dc|0", - "metro2/pop2/leaf/leaf2|metro2/dc1/dc/dc|0" + "metro5/pop1/leaf/leaf14|metro5/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -25757,10 +25757,10 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro2/pop1/leaf/leaf1|metro2/pop1/spine/spine4|0", - "metro1/pop2/leaf/leaf16|metro1/pop2/spine/spine1|0", + "metro5/pop2/leaf/leaf13|metro5/pop2/spine/spine3|0", "metro2/pop1/leaf/leaf4|metro2/pop1/spine/spine1|0", - "metro5/pop2/leaf/leaf13|metro5/pop2/spine/spine3|0" + "metro1/pop2/leaf/leaf16|metro1/pop2/spine/spine1|0", + "metro2/pop1/leaf/leaf1|metro2/pop1/spine/spine4|0" ] }, "failure_trace": null, @@ -26210,10 +26210,10 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ + "metro5/pop1/leaf/leaf12|metro5/pop1/spine/spine2|0", "metro1/pop2/leaf/leaf6|metro1/pop2/spine/spine1|0", - "metro2/pop1/leaf/leaf4|metro2/pop1/spine/spine2|0", "metro5/pop1/leaf/leaf12|metro5/pop1/spine/spine3|0", - "metro5/pop1/leaf/leaf12|metro5/pop1/spine/spine2|0" + "metro2/pop1/leaf/leaf4|metro2/pop1/spine/spine2|0" ] }, "failure_trace": null, @@ -26438,8 +26438,8 @@ "excluded_nodes": [], "excluded_links": [ "metro1/pop1/leaf/leaf14|metro1/dc1/dc/dc|0", - "metro1/pop1/leaf/leaf11|metro1/dc1/dc/dc|0", - "metro1/pop2/leaf/leaf14|metro1/dc1/dc/dc|0" + "metro1/pop2/leaf/leaf14|metro1/dc1/dc/dc|0", + "metro1/pop1/leaf/leaf11|metro1/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -26558,10 +26558,10 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro1/pop1/leaf/leaf1|metro1/pop1/spine/spine2|0", - "metro5/pop1/leaf/leaf13|metro5/pop1/spine/spine2|0", "metro1/pop2/leaf/leaf15|metro1/pop2/spine/spine4|0", - "metro2/pop1/leaf/leaf9|metro2/pop1/spine/spine4|0" + "metro1/pop1/leaf/leaf1|metro1/pop1/spine/spine2|0", + "metro2/pop1/leaf/leaf9|metro2/pop1/spine/spine4|0", + "metro5/pop1/leaf/leaf13|metro5/pop1/spine/spine2|0" ] }, "failure_trace": null, @@ -26896,9 +26896,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro2/pop1/leaf/leaf13|metro2/dc1/dc/dc|0", + "metro5/pop1/leaf/leaf6|metro5/dc1/dc/dc|0", "metro5/pop2/leaf/leaf4|metro5/dc1/dc/dc|0", - "metro5/pop1/leaf/leaf6|metro5/dc1/dc/dc|0" + "metro2/pop1/leaf/leaf13|metro2/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -27019,9 +27019,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro5/pop2/leaf/leaf13|metro5/dc1/dc/dc|0", "metro2/pop1/leaf/leaf11|metro2/dc1/dc/dc|0", - "metro2/pop1/leaf/leaf12|metro2/dc1/dc/dc|0" + "metro2/pop1/leaf/leaf12|metro2/dc1/dc/dc|0", + "metro5/pop2/leaf/leaf13|metro5/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -27136,8 +27136,8 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro2/pop2/leaf/leaf8|metro2/dc1/dc/dc|0", "metro2/pop1/leaf/leaf6|metro2/dc1/dc/dc|0", + "metro2/pop2/leaf/leaf8|metro2/dc1/dc/dc|0", "metro5/pop1/leaf/leaf1|metro5/dc1/dc/dc|0" ] }, @@ -27265,8 +27265,8 @@ "excluded_nodes": [], "excluded_links": [ "metro5/pop2/leaf/leaf5|metro5/dc1/dc/dc|0", - "metro2/pop1/leaf/leaf13|metro2/dc1/dc/dc|0", - "metro5/pop1/leaf/leaf1|metro5/dc1/dc/dc|0" + "metro5/pop1/leaf/leaf1|metro5/dc1/dc/dc|0", + "metro2/pop1/leaf/leaf13|metro2/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -27387,8 +27387,8 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro2/pop1/leaf/leaf12|metro2/pop1/spine/spine1|0", "metro2/pop2/leaf/leaf3|metro2/pop2/spine/spine1|0", + "metro2/pop1/leaf/leaf12|metro2/pop1/spine/spine1|0", "metro1/pop1/leaf/leaf6|metro1/pop1/spine/spine1|0", "metro1/pop2/leaf/leaf4|metro1/pop2/spine/spine2|0" ] @@ -27501,9 +27501,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ + "metro5/pop2/leaf/leaf6|metro5/dc1/dc/dc|0", "metro1/pop2/leaf/leaf2|metro1/dc1/dc/dc|0", - "metro2/pop1/leaf/leaf15|metro2/dc1/dc/dc|0", - "metro5/pop2/leaf/leaf6|metro5/dc1/dc/dc|0" + "metro2/pop1/leaf/leaf15|metro2/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -27738,8 +27738,8 @@ "excluded_links": [ "metro2/pop2/leaf/leaf16|metro2/pop2/spine/spine1|0", "metro1/pop1/leaf/leaf7|metro1/pop1/spine/spine3|0", - "metro5/pop2/leaf/leaf1|metro5/pop2/spine/spine3|0", - "metro5/pop1/leaf/leaf9|metro5/pop1/spine/spine3|0" + "metro5/pop1/leaf/leaf9|metro5/pop1/spine/spine3|0", + "metro5/pop2/leaf/leaf1|metro5/pop2/spine/spine3|0" ] }, "failure_trace": null, @@ -27850,9 +27850,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro1/pop1/leaf/leaf8|metro1/dc1/dc/dc|0", + "metro2/pop2/leaf/leaf4|metro2/dc1/dc/dc|0", "metro1/pop1/leaf/leaf7|metro1/dc1/dc/dc|0", - "metro2/pop2/leaf/leaf4|metro2/dc1/dc/dc|0" + "metro1/pop1/leaf/leaf8|metro1/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -27973,9 +27973,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro1/pop1/leaf/leaf6|metro1/dc1/dc/dc|0", + "metro5/pop2/leaf/leaf3|metro5/dc1/dc/dc|0", "metro2/pop1/leaf/leaf1|metro2/dc1/dc/dc|0", - "metro5/pop2/leaf/leaf3|metro5/dc1/dc/dc|0" + "metro1/pop1/leaf/leaf6|metro1/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -28098,9 +28098,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro1/pop1/leaf/leaf10|metro1/dc1/dc/dc|0", "metro1/pop1/leaf/leaf12|metro1/dc1/dc/dc|0", - "metro2/pop2/leaf/leaf14|metro2/dc1/dc/dc|0" + "metro2/pop2/leaf/leaf14|metro2/dc1/dc/dc|0", + "metro1/pop1/leaf/leaf10|metro1/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -28342,8 +28342,8 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro2/pop2/leaf/leaf9|metro2/pop2/spine/spine1|0", "metro5/pop2/leaf/leaf9|metro5/pop2/spine/spine4|0", + "metro2/pop2/leaf/leaf9|metro2/pop2/spine/spine1|0", "metro1/pop2/leaf/leaf13|metro1/pop2/spine/spine4|0", "metro2/pop2/leaf/leaf16|metro2/pop2/spine/spine2|0" ] @@ -28580,9 +28580,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro2/pop2/leaf/leaf12|metro2/dc1/dc/dc|0", + "metro5/pop1/leaf/leaf16|metro5/dc1/dc/dc|0", "metro5/pop2/leaf/leaf12|metro5/dc1/dc/dc|0", - "metro5/pop1/leaf/leaf16|metro5/dc1/dc/dc|0" + "metro2/pop2/leaf/leaf12|metro2/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -28937,9 +28937,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro1/pop1/leaf/leaf5|metro1/dc1/dc/dc|0", "metro1/pop2/leaf/leaf8|metro1/dc1/dc/dc|0", - "metro5/pop2/leaf/leaf12|metro5/dc1/dc/dc|0" + "metro5/pop2/leaf/leaf12|metro5/dc1/dc/dc|0", + "metro1/pop1/leaf/leaf5|metro1/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -29062,9 +29062,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro2/pop1/leaf/leaf13|metro2/dc1/dc/dc|0", "metro2/pop2/leaf/leaf12|metro2/dc1/dc/dc|0", - "metro1/pop2/leaf/leaf2|metro1/dc1/dc/dc|0" + "metro1/pop2/leaf/leaf2|metro1/dc1/dc/dc|0", + "metro2/pop1/leaf/leaf13|metro2/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -29299,9 +29299,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro1/pop2/leaf/leaf7|metro1/dc1/dc/dc|0", + "metro5/pop1/leaf/leaf12|metro5/dc1/dc/dc|0", "metro1/pop1/leaf/leaf11|metro1/dc1/dc/dc|0", - "metro5/pop1/leaf/leaf12|metro5/dc1/dc/dc|0" + "metro1/pop2/leaf/leaf7|metro1/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -29666,9 +29666,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ + "metro5/pop2/leaf/leaf15|metro5/dc1/dc/dc|0", "metro1/pop2/leaf/leaf4|metro1/dc1/dc/dc|0", - "metro5/pop1/leaf/leaf15|metro5/dc1/dc/dc|0", - "metro5/pop2/leaf/leaf15|metro5/dc1/dc/dc|0" + "metro5/pop1/leaf/leaf15|metro5/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -29906,8 +29906,8 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro1/pop1/leaf/leaf4|metro1/dc1/dc/dc|0", "metro2/pop2/leaf/leaf6|metro2/dc1/dc/dc|0", + "metro1/pop1/leaf/leaf4|metro1/dc1/dc/dc|0", "metro1/pop2/leaf/leaf11|metro1/dc1/dc/dc|0" ] }, @@ -30033,9 +30033,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro1/pop2/leaf/leaf2|metro1/dc1/dc/dc|0", + "metro5/pop1/leaf/leaf11|metro5/dc1/dc/dc|0", "metro2/pop2/leaf/leaf4|metro2/dc1/dc/dc|0", - "metro5/pop1/leaf/leaf11|metro5/dc1/dc/dc|0" + "metro1/pop2/leaf/leaf2|metro1/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -30162,8 +30162,8 @@ "excluded_nodes": [], "excluded_links": [ "metro1/pop1/leaf/leaf4|metro1/dc1/dc/dc|0", - "metro2/pop1/leaf/leaf13|metro2/dc1/dc/dc|0", - "metro5/pop1/leaf/leaf16|metro5/dc1/dc/dc|0" + "metro5/pop1/leaf/leaf16|metro5/dc1/dc/dc|0", + "metro2/pop1/leaf/leaf13|metro2/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -30394,10 +30394,10 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ + "metro2/pop1/leaf/leaf2|metro2/pop1/spine/spine4|0", "metro5/pop2/leaf/leaf12|metro5/pop2/spine/spine1|0", - "metro5/pop1/leaf/leaf7|metro5/pop1/spine/spine1|0", "metro1/pop1/leaf/leaf5|metro1/pop1/spine/spine1|0", - "metro2/pop1/leaf/leaf2|metro2/pop1/spine/spine4|0" + "metro5/pop1/leaf/leaf7|metro5/pop1/spine/spine1|0" ] }, "failure_trace": null, @@ -30509,8 +30509,8 @@ "excluded_nodes": [], "excluded_links": [ "metro1/pop1/leaf/leaf16|metro1/dc1/dc/dc|0", - "metro1/pop1/leaf/leaf10|metro1/dc1/dc/dc|0", - "metro2/pop2/leaf/leaf9|metro2/dc1/dc/dc|0" + "metro2/pop2/leaf/leaf9|metro2/dc1/dc/dc|0", + "metro1/pop1/leaf/leaf10|metro1/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -30748,8 +30748,8 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro1/pop1/leaf/leaf5|metro1/dc1/dc/dc|0", "metro1/pop2/leaf/leaf4|metro1/dc1/dc/dc|0", + "metro1/pop1/leaf/leaf5|metro1/dc1/dc/dc|0", "metro2/pop1/leaf/leaf1|metro2/dc1/dc/dc|0" ] }, @@ -30878,8 +30878,8 @@ "excluded_links": [ "metro5/pop1/leaf/leaf5|metro5/pop1/spine/spine2|0", "metro2/pop2/leaf/leaf5|metro2/pop2/spine/spine3|0", - "metro5/pop1/leaf/leaf11|metro5/pop1/spine/spine1|0", - "metro1/pop2/leaf/leaf15|metro1/pop2/spine/spine1|0" + "metro1/pop2/leaf/leaf15|metro1/pop2/spine/spine1|0", + "metro5/pop1/leaf/leaf11|metro5/pop1/spine/spine1|0" ] }, "failure_trace": null, @@ -30991,8 +30991,8 @@ "excluded_nodes": [], "excluded_links": [ "metro2/pop1/leaf/leaf9|metro2/dc1/dc/dc|0", - "metro2/pop1/leaf/leaf16|metro2/dc1/dc/dc|0", - "metro1/pop1/leaf/leaf3|metro1/dc1/dc/dc|0" + "metro1/pop1/leaf/leaf3|metro1/dc1/dc/dc|0", + "metro2/pop1/leaf/leaf16|metro2/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -31111,8 +31111,8 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro5/pop1/leaf/leaf7|metro5/dc1/dc/dc|0", "metro1/pop1/leaf/leaf12|metro1/dc1/dc/dc|0", + "metro5/pop1/leaf/leaf7|metro5/dc1/dc/dc|0", "metro2/pop2/leaf/leaf12|metro2/dc1/dc/dc|0" ] }, @@ -31241,9 +31241,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro2/pop2/leaf/leaf3|metro2/dc1/dc/dc|0", + "metro1/pop1/leaf/leaf1|metro1/dc1/dc/dc|0", "metro1/pop1/leaf/leaf11|metro1/dc1/dc/dc|0", - "metro1/pop1/leaf/leaf1|metro1/dc1/dc/dc|0" + "metro2/pop2/leaf/leaf3|metro2/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -31487,9 +31487,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro2/pop2/leaf/leaf12|metro2/dc1/dc/dc|0", + "metro1/pop2/leaf/leaf13|metro1/dc1/dc/dc|0", "metro5/pop1/leaf/leaf5|metro5/dc1/dc/dc|0", - "metro1/pop2/leaf/leaf13|metro1/dc1/dc/dc|0" + "metro2/pop2/leaf/leaf12|metro2/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -31839,9 +31839,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro1/pop1/leaf/leaf10|metro1/dc1/dc/dc|0", + "metro2/pop2/leaf/leaf2|metro2/dc1/dc/dc|0", "metro2/pop2/leaf/leaf1|metro2/dc1/dc/dc|0", - "metro2/pop2/leaf/leaf2|metro2/dc1/dc/dc|0" + "metro1/pop1/leaf/leaf10|metro1/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -31966,9 +31966,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro1/pop1/leaf/leaf8|metro1/dc1/dc/dc|0", + "metro5/pop1/leaf/leaf13|metro5/dc1/dc/dc|0", "metro2/pop1/leaf/leaf16|metro2/dc1/dc/dc|0", - "metro5/pop1/leaf/leaf13|metro5/dc1/dc/dc|0" + "metro1/pop1/leaf/leaf8|metro1/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -32088,8 +32088,8 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro1/pop2/leaf/leaf10|metro1/dc1/dc/dc|0", "metro1/pop2/leaf/leaf2|metro1/dc1/dc/dc|0", + "metro1/pop2/leaf/leaf10|metro1/dc1/dc/dc|0", "metro2/pop1/leaf/leaf2|metro2/dc1/dc/dc|0" ] }, @@ -32208,8 +32208,8 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro1/pop2/leaf/leaf4|metro1/pop2/spine/spine1|0", "metro5/pop1/leaf/leaf14|metro5/pop1/spine/spine2|0", + "metro1/pop2/leaf/leaf4|metro1/pop2/spine/spine1|0", "metro5/pop1/leaf/leaf11|metro5/pop1/spine/spine3|0", "metro1/pop1/leaf/leaf16|metro1/pop1/spine/spine3|0" ] @@ -32322,8 +32322,8 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro1/pop1/leaf/leaf3|metro1/dc1/dc/dc|0", "metro2/pop1/leaf/leaf10|metro2/dc1/dc/dc|0", + "metro1/pop1/leaf/leaf3|metro1/dc1/dc/dc|0", "metro2/pop2/leaf/leaf11|metro2/dc1/dc/dc|0" ] }, @@ -32448,8 +32448,8 @@ "excluded_nodes": [], "excluded_links": [ "metro1/pop1/leaf/leaf14|metro1/dc1/dc/dc|0", - "metro5/pop2/leaf/leaf4|metro5/dc1/dc/dc|0", - "metro5/pop1/leaf/leaf6|metro5/dc1/dc/dc|0" + "metro5/pop1/leaf/leaf6|metro5/dc1/dc/dc|0", + "metro5/pop2/leaf/leaf4|metro5/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -32570,9 +32570,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro2/pop1/leaf/leaf13|metro2/dc1/dc/dc|0", "metro2/pop2/leaf/leaf6|metro2/dc1/dc/dc|0", - "metro2/pop2/leaf/leaf9|metro2/dc1/dc/dc|0" + "metro2/pop2/leaf/leaf9|metro2/dc1/dc/dc|0", + "metro2/pop1/leaf/leaf13|metro2/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -32693,8 +32693,8 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro5/pop2/leaf/leaf10|metro5/dc1/dc/dc|0", "metro5/pop1/leaf/leaf10|metro5/dc1/dc/dc|0", + "metro5/pop2/leaf/leaf10|metro5/dc1/dc/dc|0", "metro1/pop2/leaf/leaf13|metro1/dc1/dc/dc|0" ] }, @@ -32814,9 +32814,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro1/pop1/leaf/leaf8|metro1/dc1/dc/dc|0", + "metro5/pop2/leaf/leaf3|metro5/dc1/dc/dc|0", "metro5/pop1/leaf/leaf11|metro5/dc1/dc/dc|0", - "metro5/pop2/leaf/leaf3|metro5/dc1/dc/dc|0" + "metro1/pop1/leaf/leaf8|metro1/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -32937,10 +32937,10 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro1/pop2/leaf/leaf6|metro1/pop2/spine/spine1|0", "metro2/pop2/leaf/leaf7|metro2/pop2/spine/spine2|0", + "metro1/pop2/leaf/leaf3|metro1/pop2/spine/spine3|0", "metro1/pop2/leaf/leaf6|metro1/pop2/spine/spine3|0", - "metro1/pop2/leaf/leaf3|metro1/pop2/spine/spine3|0" + "metro1/pop2/leaf/leaf6|metro1/pop2/spine/spine1|0" ] }, "failure_trace": null, @@ -33174,9 +33174,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro5/pop2/leaf/leaf11|metro5/dc1/dc/dc|0", "metro2/pop2/leaf/leaf5|metro2/dc1/dc/dc|0", - "metro5/pop1/leaf/leaf16|metro5/dc1/dc/dc|0" + "metro5/pop1/leaf/leaf16|metro5/dc1/dc/dc|0", + "metro5/pop2/leaf/leaf11|metro5/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -33430,8 +33430,8 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro1/pop1/leaf/leaf16|metro1/dc1/dc/dc|0", "metro5/pop1/leaf/leaf11|metro5/dc1/dc/dc|0", + "metro1/pop1/leaf/leaf16|metro1/dc1/dc/dc|0", "metro1/pop1/leaf/leaf1|metro1/dc1/dc/dc|0" ] }, @@ -33552,8 +33552,8 @@ "excluded_nodes": [], "excluded_links": [ "metro5/pop2/leaf/leaf8|metro5/dc1/dc/dc|0", - "metro2/pop1/leaf/leaf7|metro2/dc1/dc/dc|0", - "metro5/pop2/leaf/leaf7|metro5/dc1/dc/dc|0" + "metro5/pop2/leaf/leaf7|metro5/dc1/dc/dc|0", + "metro2/pop1/leaf/leaf7|metro2/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -33673,8 +33673,8 @@ "excluded_nodes": [], "excluded_links": [ "metro1/pop1/leaf/leaf14|metro1/dc1/dc/dc|0", - "metro2/pop1/leaf/leaf15|metro2/dc1/dc/dc|0", - "metro5/pop2/leaf/leaf16|metro5/dc1/dc/dc|0" + "metro5/pop2/leaf/leaf16|metro5/dc1/dc/dc|0", + "metro2/pop1/leaf/leaf15|metro2/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -33793,9 +33793,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro1/pop1/leaf/leaf8|metro1/dc1/dc/dc|0", "metro2/pop2/leaf/leaf1|metro2/dc1/dc/dc|0", - "metro5/pop1/leaf/leaf2|metro5/dc1/dc/dc|0" + "metro5/pop1/leaf/leaf2|metro5/dc1/dc/dc|0", + "metro1/pop1/leaf/leaf8|metro1/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -33919,9 +33919,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ + "metro5/pop1/leaf/leaf13|metro5/dc1/dc/dc|0", "metro1/pop1/leaf/leaf5|metro1/dc1/dc/dc|0", - "metro1/pop1/leaf/leaf2|metro1/dc1/dc/dc|0", - "metro5/pop1/leaf/leaf13|metro5/dc1/dc/dc|0" + "metro1/pop1/leaf/leaf2|metro1/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -34153,9 +34153,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro2/pop2/leaf/leaf3|metro2/dc1/dc/dc|0", "metro2/pop2/leaf/leaf16|metro2/dc1/dc/dc|0", - "metro5/pop1/leaf/leaf16|metro5/dc1/dc/dc|0" + "metro5/pop1/leaf/leaf16|metro5/dc1/dc/dc|0", + "metro2/pop2/leaf/leaf3|metro2/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -34285,8 +34285,8 @@ "excluded_nodes": [], "excluded_links": [ "metro5/pop2/leaf/leaf4|metro5/dc1/dc/dc|0", - "metro2/pop2/leaf/leaf6|metro2/dc1/dc/dc|0", - "metro1/pop1/leaf/leaf13|metro1/dc1/dc/dc|0" + "metro1/pop1/leaf/leaf13|metro1/dc1/dc/dc|0", + "metro2/pop2/leaf/leaf6|metro2/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -34525,8 +34525,8 @@ "excluded_nodes": [], "excluded_links": [ "metro5/pop1/leaf/leaf10|metro5/dc1/dc/dc|0", - "metro5/pop1/leaf/leaf12|metro5/dc1/dc/dc|0", - "metro5/pop2/leaf/leaf12|metro5/dc1/dc/dc|0" + "metro5/pop2/leaf/leaf12|metro5/dc1/dc/dc|0", + "metro5/pop1/leaf/leaf12|metro5/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -35019,10 +35019,10 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro1/pop2/leaf/leaf3|metro1/pop2/spine/spine4|0", - "metro1/pop1/leaf/leaf12|metro1/pop1/spine/spine1|0", "metro2/pop1/leaf/leaf12|metro2/pop1/spine/spine4|0", - "metro2/pop2/leaf/leaf9|metro2/pop2/spine/spine3|0" + "metro2/pop2/leaf/leaf9|metro2/pop2/spine/spine3|0", + "metro1/pop2/leaf/leaf3|metro1/pop2/spine/spine4|0", + "metro1/pop1/leaf/leaf12|metro1/pop1/spine/spine1|0" ] }, "failure_trace": null, @@ -35252,8 +35252,8 @@ "excluded_nodes": [], "excluded_links": [ "metro5/pop2/leaf/leaf10|metro5/dc1/dc/dc|0", - "metro2/pop2/leaf/leaf12|metro2/dc1/dc/dc|0", - "metro5/pop1/leaf/leaf16|metro5/dc1/dc/dc|0" + "metro5/pop1/leaf/leaf16|metro5/dc1/dc/dc|0", + "metro2/pop2/leaf/leaf12|metro2/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -35378,9 +35378,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro1/pop2/leaf/leaf12|metro1/dc1/dc/dc|0", + "metro5/pop1/leaf/leaf4|metro5/dc1/dc/dc|0", "metro2/pop2/leaf/leaf6|metro2/dc1/dc/dc|0", - "metro5/pop1/leaf/leaf4|metro5/dc1/dc/dc|0" + "metro1/pop2/leaf/leaf12|metro1/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -35620,8 +35620,8 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro1/pop2/leaf/leaf7|metro1/dc1/dc/dc|0", "metro5/pop1/leaf/leaf5|metro5/dc1/dc/dc|0", + "metro1/pop2/leaf/leaf7|metro1/dc1/dc/dc|0", "metro2/pop2/leaf/leaf11|metro2/dc1/dc/dc|0" ] }, @@ -35748,10 +35748,10 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro5/pop2/leaf/leaf8|metro5/pop2/spine/spine2|0", - "metro2/pop2/leaf/leaf10|metro2/pop2/spine/spine4|0", + "metro2/pop2/leaf/leaf11|metro2/pop2/spine/spine1|0", "metro5/pop2/leaf/leaf11|metro5/pop2/spine/spine3|0", - "metro2/pop2/leaf/leaf11|metro2/pop2/spine/spine1|0" + "metro2/pop2/leaf/leaf10|metro2/pop2/spine/spine4|0", + "metro5/pop2/leaf/leaf8|metro5/pop2/spine/spine2|0" ] }, "failure_trace": null, @@ -35862,9 +35862,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro2/pop1/leaf/leaf10|metro2/dc1/dc/dc|0", "metro5/pop1/leaf/leaf8|metro5/dc1/dc/dc|0", - "metro1/pop2/leaf/leaf9|metro1/dc1/dc/dc|0" + "metro1/pop2/leaf/leaf9|metro1/dc1/dc/dc|0", + "metro2/pop1/leaf/leaf10|metro2/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -35988,8 +35988,8 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro1/pop2/leaf/leaf4|metro1/dc1/dc/dc|0", "metro5/pop1/leaf/leaf16|metro5/dc1/dc/dc|0", + "metro1/pop2/leaf/leaf4|metro1/dc1/dc/dc|0", "metro1/pop1/leaf/leaf13|metro1/dc1/dc/dc|0" ] }, @@ -36114,8 +36114,8 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro5/pop1/leaf/leaf7|metro5/dc1/dc/dc|0", "metro1/pop2/leaf/leaf12|metro1/dc1/dc/dc|0", + "metro5/pop1/leaf/leaf7|metro5/dc1/dc/dc|0", "metro1/pop2/leaf/leaf13|metro1/dc1/dc/dc|0" ] }, @@ -36236,10 +36236,10 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ + "metro5/pop2/leaf/leaf13|metro5/pop2/spine/spine3|0", "metro5/pop1/leaf/leaf7|metro5/pop1/spine/spine3|0", - "metro1/pop2/leaf/leaf15|metro1/pop2/spine/spine2|0", "metro2/pop2/leaf/leaf11|metro2/pop2/spine/spine2|0", - "metro5/pop2/leaf/leaf13|metro5/pop2/spine/spine3|0" + "metro1/pop2/leaf/leaf15|metro1/pop2/spine/spine2|0" ] }, "failure_trace": null, @@ -36350,8 +36350,8 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro5/pop2/leaf/leaf1|metro5/dc1/dc/dc|0", "metro5/pop2/leaf/leaf8|metro5/dc1/dc/dc|0", + "metro5/pop2/leaf/leaf1|metro5/dc1/dc/dc|0", "metro2/pop2/leaf/leaf5|metro2/dc1/dc/dc|0" ] }, @@ -36473,8 +36473,8 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro5/pop1/leaf/leaf7|metro5/dc1/dc/dc|0", "metro1/pop1/leaf/leaf11|metro1/dc1/dc/dc|0", + "metro5/pop1/leaf/leaf7|metro5/dc1/dc/dc|0", "metro2/pop2/leaf/leaf12|metro2/dc1/dc/dc|0" ] }, @@ -36725,9 +36725,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro1/pop1/leaf/leaf6|metro1/dc1/dc/dc|0", + "metro5/pop1/leaf/leaf10|metro5/dc1/dc/dc|0", "metro1/pop2/leaf/leaf7|metro1/dc1/dc/dc|0", - "metro5/pop1/leaf/leaf10|metro5/dc1/dc/dc|0" + "metro1/pop1/leaf/leaf6|metro1/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -37089,10 +37089,10 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro2/pop1/leaf/leaf7|metro2/pop1/spine/spine2|0", - "metro2/pop1/leaf/leaf16|metro2/pop1/spine/spine4|0", "metro2/pop2/leaf/leaf3|metro2/pop2/spine/spine1|0", - "metro5/pop1/leaf/leaf12|metro5/pop1/spine/spine2|0" + "metro5/pop1/leaf/leaf12|metro5/pop1/spine/spine2|0", + "metro2/pop1/leaf/leaf7|metro2/pop1/spine/spine2|0", + "metro2/pop1/leaf/leaf16|metro2/pop1/spine/spine4|0" ] }, "failure_trace": null, @@ -37203,10 +37203,10 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ + "metro2/pop2/leaf/leaf13|metro2/pop2/spine/spine1|0", "metro2/pop2/leaf/leaf1|metro2/pop2/spine/spine1|0", - "metro5/pop2/leaf/leaf15|metro5/pop2/spine/spine3|0", "metro1/pop2/leaf/leaf6|metro1/pop2/spine/spine3|0", - "metro2/pop2/leaf/leaf13|metro2/pop2/spine/spine1|0" + "metro5/pop2/leaf/leaf15|metro5/pop2/spine/spine3|0" ] }, "failure_trace": null, @@ -37317,9 +37317,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ + "metro5/pop2/leaf/leaf2|metro5/dc1/dc/dc|0", "metro2/pop2/leaf/leaf7|metro2/dc1/dc/dc|0", - "metro2/pop2/leaf/leaf12|metro2/dc1/dc/dc|0", - "metro5/pop2/leaf/leaf2|metro5/dc1/dc/dc|0" + "metro2/pop2/leaf/leaf12|metro2/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -37442,9 +37442,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro5/pop2/leaf/leaf9|metro5/dc1/dc/dc|0", + "metro5/pop2/leaf/leaf12|metro5/dc1/dc/dc|0", "metro2/pop1/leaf/leaf8|metro2/dc1/dc/dc|0", - "metro5/pop2/leaf/leaf12|metro5/dc1/dc/dc|0" + "metro5/pop2/leaf/leaf9|metro5/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -37680,9 +37680,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro5/pop2/leaf/leaf11|metro5/dc1/dc/dc|0", + "metro5/pop1/leaf/leaf4|metro5/dc1/dc/dc|0", "metro1/pop1/leaf/leaf1|metro1/dc1/dc/dc|0", - "metro5/pop1/leaf/leaf4|metro5/dc1/dc/dc|0" + "metro5/pop2/leaf/leaf11|metro5/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -37803,8 +37803,8 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro1/pop2/leaf/leaf16|metro1/pop2/spine/spine2|0", "metro5/pop1/leaf/leaf16|metro5/pop1/spine/spine4|0", + "metro1/pop2/leaf/leaf16|metro1/pop2/spine/spine2|0", "metro5/pop2/leaf/leaf10|metro5/pop2/spine/spine3|0", "metro2/pop2/leaf/leaf6|metro2/pop2/spine/spine3|0" ] @@ -37917,9 +37917,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro1/pop1/leaf/leaf6|metro1/dc1/dc/dc|0", "metro1/pop2/leaf/leaf4|metro1/dc1/dc/dc|0", - "metro1/pop2/leaf/leaf10|metro1/dc1/dc/dc|0" + "metro1/pop2/leaf/leaf10|metro1/dc1/dc/dc|0", + "metro1/pop1/leaf/leaf6|metro1/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -38041,8 +38041,8 @@ "excluded_nodes": [], "excluded_links": [ "metro2/pop2/leaf/leaf1|metro2/dc1/dc/dc|0", - "metro5/pop1/leaf/leaf14|metro5/dc1/dc/dc|0", - "metro5/pop1/leaf/leaf2|metro5/dc1/dc/dc|0" + "metro5/pop1/leaf/leaf2|metro5/dc1/dc/dc|0", + "metro5/pop1/leaf/leaf14|metro5/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -38170,8 +38170,8 @@ "excluded_nodes": [], "excluded_links": [ "metro5/pop1/leaf/leaf3|metro5/dc1/dc/dc|0", - "metro5/pop1/leaf/leaf13|metro5/dc1/dc/dc|0", - "metro2/pop2/leaf/leaf14|metro2/dc1/dc/dc|0" + "metro2/pop2/leaf/leaf14|metro2/dc1/dc/dc|0", + "metro5/pop1/leaf/leaf13|metro5/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -38292,8 +38292,8 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro1/pop1/leaf/leaf4|metro1/dc1/dc/dc|0", "metro2/pop2/leaf/leaf2|metro2/dc1/dc/dc|0", + "metro1/pop1/leaf/leaf4|metro1/dc1/dc/dc|0", "metro2/pop1/leaf/leaf2|metro2/dc1/dc/dc|0" ] }, @@ -38881,9 +38881,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro2/pop1/leaf/leaf13|metro2/dc1/dc/dc|0", + "metro5/pop2/leaf/leaf2|metro5/dc1/dc/dc|0", "metro2/pop1/leaf/leaf8|metro2/dc1/dc/dc|0", - "metro5/pop2/leaf/leaf2|metro5/dc1/dc/dc|0" + "metro2/pop1/leaf/leaf13|metro2/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -39002,9 +39002,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro2/pop2/leaf/leaf8|metro2/dc1/dc/dc|0", "metro2/pop1/leaf/leaf9|metro2/dc1/dc/dc|0", - "metro1/pop2/leaf/leaf4|metro1/dc1/dc/dc|0" + "metro1/pop2/leaf/leaf4|metro1/dc1/dc/dc|0", + "metro2/pop2/leaf/leaf8|metro2/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -39132,9 +39132,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ + "metro2/pop2/leaf/leaf4|metro2/dc1/dc/dc|0", "metro2/pop2/leaf/leaf1|metro2/dc1/dc/dc|0", - "metro2/pop2/leaf/leaf12|metro2/dc1/dc/dc|0", - "metro2/pop2/leaf/leaf4|metro2/dc1/dc/dc|0" + "metro2/pop2/leaf/leaf12|metro2/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -39368,8 +39368,8 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro1/pop2/leaf/leaf1|metro1/dc1/dc/dc|0", "metro2/pop2/leaf/leaf1|metro2/dc1/dc/dc|0", + "metro1/pop2/leaf/leaf1|metro1/dc1/dc/dc|0", "metro1/pop1/leaf/leaf15|metro1/dc1/dc/dc|0" ] }, @@ -39496,8 +39496,8 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro5/pop2/leaf/leaf1|metro5/dc1/dc/dc|0", "metro5/pop2/leaf/leaf8|metro5/dc1/dc/dc|0", + "metro5/pop2/leaf/leaf1|metro5/dc1/dc/dc|0", "metro1/pop2/leaf/leaf8|metro1/dc1/dc/dc|0" ] }, @@ -39618,9 +39618,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro2/pop2/leaf/leaf3|metro2/dc1/dc/dc|0", + "metro1/pop1/leaf/leaf1|metro1/dc1/dc/dc|0", "metro5/pop1/leaf/leaf13|metro5/dc1/dc/dc|0", - "metro1/pop1/leaf/leaf1|metro1/dc1/dc/dc|0" + "metro2/pop2/leaf/leaf3|metro2/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -39873,8 +39873,8 @@ "excluded_nodes": [], "excluded_links": [ "metro1/pop1/leaf/leaf5|metro1/dc1/dc/dc|0", - "metro2/pop1/leaf/leaf14|metro2/dc1/dc/dc|0", - "metro5/pop1/leaf/leaf6|metro5/dc1/dc/dc|0" + "metro5/pop1/leaf/leaf6|metro5/dc1/dc/dc|0", + "metro2/pop1/leaf/leaf14|metro2/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -39994,10 +39994,10 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ + "metro2/pop2/leaf/leaf11|metro2/pop2/spine/spine1|0", "metro1/pop2/leaf/leaf16|metro1/pop2/spine/spine3|0", - "metro2/pop2/leaf/leaf5|metro2/pop2/spine/spine2|0", "metro1/pop1/leaf/leaf4|metro1/pop1/spine/spine4|0", - "metro2/pop2/leaf/leaf11|metro2/pop2/spine/spine1|0" + "metro2/pop2/leaf/leaf5|metro2/pop2/spine/spine2|0" ] }, "failure_trace": null, @@ -40108,10 +40108,10 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro1/pop2/leaf/leaf6|metro1/pop2/spine/spine1|0", - "metro2/pop2/leaf/leaf3|metro2/pop2/spine/spine4|0", "metro2/pop2/leaf/leaf1|metro2/pop2/spine/spine1|0", - "metro1/pop2/leaf/leaf11|metro1/pop2/spine/spine4|0" + "metro1/pop2/leaf/leaf11|metro1/pop2/spine/spine4|0", + "metro2/pop2/leaf/leaf3|metro2/pop2/spine/spine4|0", + "metro1/pop2/leaf/leaf6|metro1/pop2/spine/spine1|0" ] }, "failure_trace": null, @@ -40222,9 +40222,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro1/pop1/leaf/leaf5|metro1/dc1/dc/dc|0", + "metro5/pop2/leaf/leaf2|metro5/dc1/dc/dc|0", "metro5/pop1/leaf/leaf9|metro5/dc1/dc/dc|0", - "metro5/pop2/leaf/leaf2|metro5/dc1/dc/dc|0" + "metro1/pop1/leaf/leaf5|metro1/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -40345,9 +40345,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ + "metro5/pop2/leaf/leaf3|metro5/dc1/dc/dc|0", "metro1/pop1/leaf/leaf16|metro1/dc1/dc/dc|0", - "metro2/pop2/leaf/leaf4|metro2/dc1/dc/dc|0", - "metro5/pop2/leaf/leaf3|metro5/dc1/dc/dc|0" + "metro2/pop2/leaf/leaf4|metro2/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -40468,10 +40468,10 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro1/pop2/leaf/leaf7|metro1/pop2/spine/spine1|0", - "metro2/pop1/leaf/leaf16|metro2/pop1/spine/spine1|0", "metro2/pop2/leaf/leaf10|metro2/pop2/spine/spine2|0", - "metro5/pop2/leaf/leaf5|metro5/pop2/spine/spine4|0" + "metro5/pop2/leaf/leaf5|metro5/pop2/spine/spine4|0", + "metro1/pop2/leaf/leaf7|metro1/pop2/spine/spine1|0", + "metro2/pop1/leaf/leaf16|metro2/pop1/spine/spine1|0" ] }, "failure_trace": null, @@ -40582,9 +40582,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ + "metro1/pop2/leaf/leaf6|metro1/dc1/dc/dc|0", "metro5/pop1/leaf/leaf13|metro5/dc1/dc/dc|0", - "metro1/pop1/leaf/leaf10|metro1/dc1/dc/dc|0", - "metro1/pop2/leaf/leaf6|metro1/dc1/dc/dc|0" + "metro1/pop1/leaf/leaf10|metro1/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -40709,9 +40709,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro1/pop1/leaf/leaf5|metro1/dc1/dc/dc|0", + "metro5/pop2/leaf/leaf7|metro5/dc1/dc/dc|0", "metro1/pop2/leaf/leaf16|metro1/dc1/dc/dc|0", - "metro5/pop2/leaf/leaf7|metro5/dc1/dc/dc|0" + "metro1/pop1/leaf/leaf5|metro1/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -40959,10 +40959,10 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro5/pop1/leaf/leaf14|metro5/pop1/spine/spine3|0", - "metro5/pop1/leaf/leaf14|metro5/pop1/spine/spine1|0", "metro1/pop2/leaf/leaf15|metro1/pop2/spine/spine3|0", - "metro2/pop2/leaf/leaf8|metro2/pop2/spine/spine3|0" + "metro2/pop2/leaf/leaf8|metro2/pop2/spine/spine3|0", + "metro5/pop1/leaf/leaf14|metro5/pop1/spine/spine3|0", + "metro5/pop1/leaf/leaf14|metro5/pop1/spine/spine1|0" ] }, "failure_trace": null, @@ -41073,10 +41073,10 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro5/pop2/leaf/leaf1|metro5/pop2/spine/spine2|0", - "metro1/pop2/leaf/leaf11|metro1/pop2/spine/spine1|0", "metro1/pop2/leaf/leaf13|metro1/pop2/spine/spine2|0", - "metro1/pop2/leaf/leaf16|metro1/pop2/spine/spine1|0" + "metro1/pop2/leaf/leaf16|metro1/pop2/spine/spine1|0", + "metro1/pop2/leaf/leaf11|metro1/pop2/spine/spine1|0", + "metro5/pop2/leaf/leaf1|metro5/pop2/spine/spine2|0" ] }, "failure_trace": null, @@ -41187,9 +41187,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro1/pop2/leaf/leaf14|metro1/pop2/spine/spine1|0", - "metro1/pop2/leaf/leaf11|metro1/pop2/spine/spine4|0", "metro1/pop1/leaf/leaf1|metro1/pop1/spine/spine2|0", + "metro1/pop2/leaf/leaf11|metro1/pop2/spine/spine4|0", + "metro1/pop2/leaf/leaf14|metro1/pop2/spine/spine1|0", "metro5/pop2/leaf/leaf5|metro5/pop2/spine/spine2|0" ] }, @@ -41302,8 +41302,8 @@ "excluded_nodes": [], "excluded_links": [ "metro1/pop1/leaf/leaf14|metro1/dc1/dc/dc|0", - "metro2/pop2/leaf/leaf12|metro2/dc1/dc/dc|0", - "metro1/pop1/leaf/leaf3|metro1/dc1/dc/dc|0" + "metro1/pop1/leaf/leaf3|metro1/dc1/dc/dc|0", + "metro2/pop2/leaf/leaf12|metro2/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -41535,9 +41535,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ + "metro5/pop2/leaf/leaf6|metro5/dc1/dc/dc|0", "metro2/pop2/leaf/leaf12|metro2/dc1/dc/dc|0", - "metro5/pop1/leaf/leaf14|metro5/dc1/dc/dc|0", - "metro5/pop2/leaf/leaf6|metro5/dc1/dc/dc|0" + "metro5/pop1/leaf/leaf14|metro5/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -41660,9 +41660,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro2/pop1/leaf/leaf13|metro2/dc1/dc/dc|0", "metro5/pop1/leaf/leaf10|metro5/dc1/dc/dc|0", - "metro5/pop1/leaf/leaf5|metro5/dc1/dc/dc|0" + "metro5/pop1/leaf/leaf5|metro5/dc1/dc/dc|0", + "metro2/pop1/leaf/leaf13|metro2/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -41892,9 +41892,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ + "metro5/pop1/leaf/leaf11|metro5/dc1/dc/dc|0", "metro1/pop1/leaf/leaf1|metro1/dc1/dc/dc|0", - "metro2/pop1/leaf/leaf8|metro2/dc1/dc/dc|0", - "metro5/pop1/leaf/leaf11|metro5/dc1/dc/dc|0" + "metro2/pop1/leaf/leaf8|metro2/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -42126,9 +42126,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro5/pop1/leaf/leaf7|metro5/dc1/dc/dc|0", + "metro1/pop1/leaf/leaf1|metro1/dc1/dc/dc|0", "metro5/pop1/leaf/leaf12|metro5/dc1/dc/dc|0", - "metro1/pop1/leaf/leaf1|metro1/dc1/dc/dc|0" + "metro5/pop1/leaf/leaf7|metro5/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -42358,9 +42358,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro2/pop2/leaf/leaf8|metro2/dc1/dc/dc|0", + "metro5/pop2/leaf/leaf15|metro5/dc1/dc/dc|0", "metro2/pop2/leaf/leaf13|metro2/dc1/dc/dc|0", - "metro5/pop2/leaf/leaf15|metro5/dc1/dc/dc|0" + "metro2/pop2/leaf/leaf8|metro2/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -42606,9 +42606,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ + "metro1/pop2/leaf/leaf15|metro1/dc1/dc/dc|0", "metro1/pop2/leaf/leaf5|metro1/dc1/dc/dc|0", - "metro2/pop2/leaf/leaf2|metro2/dc1/dc/dc|0", - "metro1/pop2/leaf/leaf15|metro1/dc1/dc/dc|0" + "metro2/pop2/leaf/leaf2|metro2/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -42729,8 +42729,8 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro2/pop2/leaf/leaf3|metro2/pop2/spine/spine2|0", "metro2/pop1/leaf/leaf2|metro2/pop1/spine/spine3|0", + "metro2/pop2/leaf/leaf3|metro2/pop2/spine/spine2|0", "metro2/pop2/leaf/leaf16|metro2/pop2/spine/spine4|0", "metro2/pop2/leaf/leaf13|metro2/pop2/spine/spine4|0" ] @@ -42843,9 +42843,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro5/pop2/leaf/leaf5|metro5/dc1/dc/dc|0", + "metro5/pop2/leaf/leaf3|metro5/dc1/dc/dc|0", "metro1/pop1/leaf/leaf15|metro1/dc1/dc/dc|0", - "metro5/pop2/leaf/leaf3|metro5/dc1/dc/dc|0" + "metro5/pop2/leaf/leaf5|metro5/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -43199,9 +43199,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ + "metro5/pop2/leaf/leaf5|metro5/dc1/dc/dc|0", "metro1/pop1/leaf/leaf5|metro1/dc1/dc/dc|0", - "metro1/pop1/leaf/leaf6|metro1/dc1/dc/dc|0", - "metro5/pop2/leaf/leaf5|metro5/dc1/dc/dc|0" + "metro1/pop1/leaf/leaf6|metro1/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -43318,9 +43318,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ + "metro2/pop2/leaf/leaf5|metro2/pop2/spine/spine2|0", "metro5/pop1/leaf/leaf12|metro5/pop1/spine/spine4|0", "metro2/pop1/leaf/leaf11|metro2/pop1/spine/spine3|0", - "metro2/pop2/leaf/leaf5|metro2/pop2/spine/spine2|0", "metro2/pop1/leaf/leaf8|metro2/pop1/spine/spine1|0" ] }, @@ -43432,9 +43432,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro5/pop1/leaf/leaf7|metro5/dc1/dc/dc|0", + "metro1/pop1/leaf/leaf7|metro1/dc1/dc/dc|0", "metro5/pop2/leaf/leaf14|metro5/dc1/dc/dc|0", - "metro1/pop1/leaf/leaf7|metro1/dc1/dc/dc|0" + "metro5/pop1/leaf/leaf7|metro5/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -43555,10 +43555,10 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro1/pop1/leaf/leaf12|metro1/pop1/spine/spine2|0", - "metro5/pop1/leaf/leaf10|metro5/pop1/spine/spine4|0", "metro5/pop1/leaf/leaf9|metro5/pop1/spine/spine4|0", - "metro2/pop2/leaf/leaf12|metro2/pop2/spine/spine4|0" + "metro2/pop2/leaf/leaf12|metro2/pop2/spine/spine4|0", + "metro5/pop1/leaf/leaf10|metro5/pop1/spine/spine4|0", + "metro1/pop1/leaf/leaf12|metro1/pop1/spine/spine2|0" ] }, "failure_trace": null, @@ -44006,9 +44006,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro5/pop2/leaf/leaf13|metro5/dc1/dc/dc|0", "metro5/pop2/leaf/leaf10|metro5/dc1/dc/dc|0", - "metro2/pop2/leaf/leaf5|metro2/dc1/dc/dc|0" + "metro2/pop2/leaf/leaf5|metro2/dc1/dc/dc|0", + "metro5/pop2/leaf/leaf13|metro5/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -44261,9 +44261,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro2/pop1/leaf/leaf13|metro2/dc1/dc/dc|0", + "metro2/pop2/leaf/leaf4|metro2/dc1/dc/dc|0", "metro2/pop1/leaf/leaf5|metro2/dc1/dc/dc|0", - "metro2/pop2/leaf/leaf4|metro2/dc1/dc/dc|0" + "metro2/pop1/leaf/leaf13|metro2/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -44388,10 +44388,10 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro2/pop1/leaf/leaf16|metro2/pop1/spine/spine2|0", + "metro5/pop2/leaf/leaf13|metro5/pop2/spine/spine3|0", "metro1/pop1/leaf/leaf6|metro1/pop1/spine/spine3|0", - "metro5/pop1/leaf/leaf11|metro5/pop1/spine/spine2|0", - "metro5/pop2/leaf/leaf13|metro5/pop2/spine/spine3|0" + "metro2/pop1/leaf/leaf16|metro2/pop1/spine/spine2|0", + "metro5/pop1/leaf/leaf11|metro5/pop1/spine/spine2|0" ] }, "failure_trace": null, @@ -44502,8 +44502,8 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro5/pop2/leaf/leaf9|metro5/dc1/dc/dc|0", "metro5/pop2/leaf/leaf15|metro5/dc1/dc/dc|0", + "metro5/pop2/leaf/leaf9|metro5/dc1/dc/dc|0", "metro5/pop1/leaf/leaf2|metro5/dc1/dc/dc|0" ] }, @@ -44624,8 +44624,8 @@ "excluded_nodes": [], "excluded_links": [ "metro5/pop2/leaf/leaf4|metro5/dc1/dc/dc|0", - "metro5/pop1/leaf/leaf16|metro5/dc1/dc/dc|0", - "metro2/pop1/leaf/leaf7|metro2/dc1/dc/dc|0" + "metro2/pop1/leaf/leaf7|metro2/dc1/dc/dc|0", + "metro5/pop1/leaf/leaf16|metro5/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -44747,9 +44747,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro1/pop1/leaf/leaf10|metro1/dc1/dc/dc|0", + "metro1/pop1/leaf/leaf9|metro1/dc1/dc/dc|0", "metro2/pop2/leaf/leaf4|metro2/dc1/dc/dc|0", - "metro1/pop1/leaf/leaf9|metro1/dc1/dc/dc|0" + "metro1/pop1/leaf/leaf10|metro1/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -44870,8 +44870,8 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro1/pop1/leaf/leaf5|metro1/dc1/dc/dc|0", "metro5/pop2/leaf/leaf10|metro5/dc1/dc/dc|0", + "metro1/pop1/leaf/leaf5|metro1/dc1/dc/dc|0", "metro2/pop1/leaf/leaf4|metro2/dc1/dc/dc|0" ] }, @@ -45229,9 +45229,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro2/pop1/leaf/leaf10|metro2/dc1/dc/dc|0", + "metro1/pop2/leaf/leaf15|metro1/dc1/dc/dc|0", "metro2/pop2/leaf/leaf6|metro2/dc1/dc/dc|0", - "metro1/pop2/leaf/leaf15|metro1/dc1/dc/dc|0" + "metro2/pop1/leaf/leaf10|metro2/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -45355,10 +45355,10 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro2/pop2/leaf/leaf10|metro2/pop2/spine/spine1|0", - "metro5/pop2/leaf/leaf10|metro5/pop2/spine/spine1|0", "metro5/pop1/leaf/leaf12|metro5/pop1/spine/spine2|0", - "metro5/pop2/leaf/leaf16|metro5/pop2/spine/spine4|0" + "metro5/pop2/leaf/leaf16|metro5/pop2/spine/spine4|0", + "metro5/pop2/leaf/leaf10|metro5/pop2/spine/spine1|0", + "metro2/pop2/leaf/leaf10|metro2/pop2/spine/spine1|0" ] }, "failure_trace": null, @@ -45469,9 +45469,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro5/pop1/leaf/leaf5|metro5/pop1/spine/spine2|0", "metro5/pop1/leaf/leaf4|metro5/pop1/spine/spine1|0", "metro1/pop2/leaf/leaf8|metro1/pop2/spine/spine1|0", + "metro5/pop1/leaf/leaf5|metro5/pop1/spine/spine2|0", "metro5/pop2/leaf/leaf7|metro5/pop2/spine/spine1|0" ] }, @@ -45696,9 +45696,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ + "metro5/pop1/leaf/leaf3|metro5/dc1/dc/dc|0", "metro5/pop1/leaf/leaf9|metro5/dc1/dc/dc|0", - "metro5/pop1/leaf/leaf11|metro5/dc1/dc/dc|0", - "metro5/pop1/leaf/leaf3|metro5/dc1/dc/dc|0" + "metro5/pop1/leaf/leaf11|metro5/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -45813,9 +45813,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro1/pop2/leaf/leaf1|metro1/pop2/spine/spine4|0", "metro5/pop1/leaf/leaf8|metro5/pop1/spine/spine3|0", "metro5/pop1/leaf/leaf4|metro5/pop1/spine/spine1|0", + "metro1/pop2/leaf/leaf1|metro1/pop2/spine/spine4|0", "metro1/pop1/leaf/leaf12|metro1/pop1/spine/spine1|0" ] }, @@ -46057,9 +46057,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ + "metro5/pop1/leaf/leaf1|metro5/dc1/dc/dc|0", "metro1/pop1/leaf/leaf7|metro1/dc1/dc/dc|0", - "metro1/pop2/leaf/leaf6|metro1/dc1/dc/dc|0", - "metro5/pop1/leaf/leaf1|metro5/dc1/dc/dc|0" + "metro1/pop2/leaf/leaf6|metro1/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -46184,9 +46184,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ + "metro1/pop1/leaf/leaf3|metro1/dc1/dc/dc|0", "metro5/pop1/leaf/leaf12|metro5/dc1/dc/dc|0", - "metro5/pop1/leaf/leaf1|metro5/dc1/dc/dc|0", - "metro1/pop1/leaf/leaf3|metro1/dc1/dc/dc|0" + "metro5/pop1/leaf/leaf1|metro5/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -46416,10 +46416,10 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro2/pop1/leaf/leaf12|metro2/pop1/spine/spine1|0", - "metro1/pop1/leaf/leaf10|metro1/pop1/spine/spine3|0", "metro5/pop1/leaf/leaf12|metro5/pop1/spine/spine2|0", - "metro5/pop1/leaf/leaf10|metro5/pop1/spine/spine3|0" + "metro2/pop1/leaf/leaf12|metro2/pop1/spine/spine1|0", + "metro5/pop1/leaf/leaf10|metro5/pop1/spine/spine3|0", + "metro1/pop1/leaf/leaf10|metro1/pop1/spine/spine3|0" ] }, "failure_trace": null, @@ -46643,9 +46643,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro1/pop2/leaf/leaf7|metro1/dc1/dc/dc|0", + "metro2/pop2/leaf/leaf2|metro2/dc1/dc/dc|0", "metro2/pop1/leaf/leaf16|metro2/dc1/dc/dc|0", - "metro2/pop2/leaf/leaf2|metro2/dc1/dc/dc|0" + "metro1/pop2/leaf/leaf7|metro1/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -46896,9 +46896,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro5/pop1/leaf/leaf15|metro5/dc1/dc/dc|0", + "metro5/pop2/leaf/leaf16|metro5/dc1/dc/dc|0", "metro2/pop2/leaf/leaf2|metro2/dc1/dc/dc|0", - "metro5/pop2/leaf/leaf16|metro5/dc1/dc/dc|0" + "metro5/pop1/leaf/leaf15|metro5/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -47021,9 +47021,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro1/pop1/leaf/leaf15|metro1/dc1/dc/dc|0", "metro2/pop2/leaf/leaf6|metro2/dc1/dc/dc|0", - "metro5/pop1/leaf/leaf16|metro5/dc1/dc/dc|0" + "metro5/pop1/leaf/leaf16|metro5/dc1/dc/dc|0", + "metro1/pop1/leaf/leaf15|metro1/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -47150,9 +47150,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro5/pop1/leaf/leaf13|metro5/dc1/dc/dc|0", + "metro5/pop1/leaf/leaf11|metro5/dc1/dc/dc|0", "metro5/pop2/leaf/leaf12|metro5/dc1/dc/dc|0", - "metro5/pop1/leaf/leaf11|metro5/dc1/dc/dc|0" + "metro5/pop1/leaf/leaf13|metro5/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -47633,9 +47633,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro1/pop1/leaf/leaf6|metro1/dc1/dc/dc|0", + "metro2/pop1/leaf/leaf12|metro2/dc1/dc/dc|0", "metro5/pop1/leaf/leaf16|metro5/dc1/dc/dc|0", - "metro2/pop1/leaf/leaf12|metro2/dc1/dc/dc|0" + "metro1/pop1/leaf/leaf6|metro1/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -47755,8 +47755,8 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro5/pop1/leaf/leaf16|metro5/dc1/dc/dc|0", "metro2/pop2/leaf/leaf5|metro2/dc1/dc/dc|0", + "metro5/pop1/leaf/leaf16|metro5/dc1/dc/dc|0", "metro2/pop1/leaf/leaf15|metro2/dc1/dc/dc|0" ] }, @@ -47882,9 +47882,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro5/pop1/leaf/leaf7|metro5/dc1/dc/dc|0", + "metro5/pop2/leaf/leaf6|metro5/dc1/dc/dc|0", "metro5/pop1/leaf/leaf8|metro5/dc1/dc/dc|0", - "metro5/pop2/leaf/leaf6|metro5/dc1/dc/dc|0" + "metro5/pop1/leaf/leaf7|metro5/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -48002,9 +48002,9 @@ "excluded_nodes": [], "excluded_links": [ "metro2/pop1/leaf/leaf15|metro2/pop1/spine/spine2|0", - "metro5/pop1/leaf/leaf4|metro5/pop1/spine/spine4|0", + "metro2/pop1/leaf/leaf6|metro2/pop1/spine/spine3|0", "metro1/pop1/leaf/leaf4|metro1/pop1/spine/spine3|0", - "metro2/pop1/leaf/leaf6|metro2/pop1/spine/spine3|0" + "metro5/pop1/leaf/leaf4|metro5/pop1/spine/spine4|0" ] }, "failure_trace": null, @@ -48115,9 +48115,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro1/pop1/leaf/leaf6|metro1/dc1/dc/dc|0", + "metro5/pop2/leaf/leaf15|metro5/dc1/dc/dc|0", "metro2/pop1/leaf/leaf6|metro2/dc1/dc/dc|0", - "metro5/pop2/leaf/leaf15|metro5/dc1/dc/dc|0" + "metro1/pop1/leaf/leaf6|metro1/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -48240,9 +48240,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro5/pop2/leaf/leaf11|metro5/dc1/dc/dc|0", + "metro2/pop1/leaf/leaf2|metro2/dc1/dc/dc|0", "metro5/pop1/leaf/leaf5|metro5/dc1/dc/dc|0", - "metro2/pop1/leaf/leaf2|metro2/dc1/dc/dc|0" + "metro5/pop2/leaf/leaf11|metro5/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -48363,8 +48363,8 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro2/pop1/leaf/leaf16|metro2/dc1/dc/dc|0", "metro5/pop2/leaf/leaf12|metro5/dc1/dc/dc|0", + "metro2/pop1/leaf/leaf16|metro2/dc1/dc/dc|0", "metro5/pop1/leaf/leaf15|metro5/dc1/dc/dc|0" ] }, @@ -48486,9 +48486,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro1/pop2/leaf/leaf6|metro1/dc1/dc/dc|0", + "metro5/pop2/leaf/leaf16|metro5/dc1/dc/dc|0", "metro5/pop2/leaf/leaf12|metro5/dc1/dc/dc|0", - "metro5/pop2/leaf/leaf16|metro5/dc1/dc/dc|0" + "metro1/pop2/leaf/leaf6|metro1/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -48607,9 +48607,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ + "metro1/pop1/leaf/leaf1|metro1/dc1/dc/dc|0", "metro5/pop1/leaf/leaf7|metro5/dc1/dc/dc|0", - "metro1/pop1/leaf/leaf10|metro1/dc1/dc/dc|0", - "metro1/pop1/leaf/leaf1|metro1/dc1/dc/dc|0" + "metro1/pop1/leaf/leaf10|metro1/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -48728,9 +48728,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro2/pop2/leaf/leaf3|metro2/dc1/dc/dc|0", + "metro1/pop1/leaf/leaf13|metro1/dc1/dc/dc|0", "metro2/pop1/leaf/leaf16|metro2/dc1/dc/dc|0", - "metro1/pop1/leaf/leaf13|metro1/dc1/dc/dc|0" + "metro2/pop2/leaf/leaf3|metro2/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -48854,8 +48854,8 @@ "excluded_nodes": [], "excluded_links": [ "metro5/pop1/leaf/leaf9|metro5/dc1/dc/dc|0", - "metro5/pop1/leaf/leaf7|metro5/dc1/dc/dc|0", - "metro2/pop2/leaf/leaf13|metro2/dc1/dc/dc|0" + "metro2/pop2/leaf/leaf13|metro2/dc1/dc/dc|0", + "metro5/pop1/leaf/leaf7|metro5/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -49106,8 +49106,8 @@ "excluded_nodes": [], "excluded_links": [ "metro5/pop1/leaf/leaf3|metro5/dc1/dc/dc|0", - "metro2/pop2/leaf/leaf3|metro2/dc1/dc/dc|0", - "metro2/pop2/leaf/leaf12|metro2/dc1/dc/dc|0" + "metro2/pop2/leaf/leaf12|metro2/dc1/dc/dc|0", + "metro2/pop2/leaf/leaf3|metro2/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -49237,8 +49237,8 @@ "excluded_nodes": [], "excluded_links": [ "metro1/pop2/leaf/leaf4|metro1/dc1/dc/dc|0", - "metro2/pop1/leaf/leaf6|metro2/dc1/dc/dc|0", - "metro1/pop1/leaf/leaf1|metro1/dc1/dc/dc|0" + "metro1/pop1/leaf/leaf1|metro1/dc1/dc/dc|0", + "metro2/pop1/leaf/leaf6|metro2/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -49364,9 +49364,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro5/pop1/leaf/leaf7|metro5/pop1/spine/spine1|0", "metro5/pop2/leaf/leaf11|metro5/pop2/spine/spine2|0", "metro1/pop1/leaf/leaf4|metro1/pop1/spine/spine3|0", + "metro5/pop1/leaf/leaf7|metro5/pop1/spine/spine1|0", "metro1/pop2/leaf/leaf5|metro1/pop2/spine/spine3|0" ] }, @@ -49478,10 +49478,10 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro2/pop2/leaf/leaf4|metro2/pop2/spine/spine4|0", - "metro2/pop1/leaf/leaf8|metro2/pop1/spine/spine3|0", "metro5/pop1/leaf/leaf4|metro5/pop1/spine/spine4|0", - "metro1/pop2/leaf/leaf10|metro1/pop2/spine/spine1|0" + "metro2/pop1/leaf/leaf8|metro2/pop1/spine/spine3|0", + "metro1/pop2/leaf/leaf10|metro1/pop2/spine/spine1|0", + "metro2/pop2/leaf/leaf4|metro2/pop2/spine/spine4|0" ] }, "failure_trace": null, @@ -49713,10 +49713,10 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro2/pop1/leaf/leaf4|metro2/pop1/spine/spine2|0", "metro1/pop1/leaf/leaf12|metro1/pop1/spine/spine1|0", + "metro2/pop2/leaf/leaf6|metro2/pop2/spine/spine1|0", "metro2/pop1/leaf/leaf6|metro2/pop1/spine/spine2|0", - "metro2/pop2/leaf/leaf6|metro2/pop2/spine/spine1|0" + "metro2/pop1/leaf/leaf4|metro2/pop1/spine/spine2|0" ] }, "failure_trace": null, @@ -49939,9 +49939,9 @@ "excluded_nodes": [], "excluded_links": [ "metro1/pop2/leaf/leaf5|metro1/pop2/spine/spine1|0", - "metro1/pop2/leaf/leaf3|metro1/pop2/spine/spine2|0", "metro2/pop2/leaf/leaf16|metro2/pop2/spine/spine2|0", - "metro2/pop1/leaf/leaf5|metro2/pop1/spine/spine4|0" + "metro2/pop1/leaf/leaf5|metro2/pop1/spine/spine4|0", + "metro1/pop2/leaf/leaf3|metro1/pop2/spine/spine2|0" ] }, "failure_trace": null, @@ -50052,9 +50052,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro1/pop1/leaf/leaf2|metro1/dc1/dc/dc|0", "metro1/pop1/leaf/leaf16|metro1/dc1/dc/dc|0", - "metro5/pop1/leaf/leaf5|metro5/dc1/dc/dc|0" + "metro5/pop1/leaf/leaf5|metro5/dc1/dc/dc|0", + "metro1/pop1/leaf/leaf2|metro1/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -50173,9 +50173,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro1/pop1/leaf/leaf8|metro1/dc1/dc/dc|0", "metro1/pop1/leaf/leaf14|metro1/dc1/dc/dc|0", - "metro1/pop2/leaf/leaf2|metro1/dc1/dc/dc|0" + "metro1/pop2/leaf/leaf2|metro1/dc1/dc/dc|0", + "metro1/pop1/leaf/leaf8|metro1/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -50294,8 +50294,8 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro5/pop2/leaf/leaf1|metro5/dc1/dc/dc|0", "metro5/pop2/leaf/leaf10|metro5/dc1/dc/dc|0", + "metro5/pop2/leaf/leaf1|metro5/dc1/dc/dc|0", "metro1/pop2/leaf/leaf2|metro1/dc1/dc/dc|0" ] }, @@ -50415,9 +50415,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro5/pop2/leaf/leaf11|metro5/dc1/dc/dc|0", + "metro5/pop2/leaf/leaf7|metro5/dc1/dc/dc|0", "metro5/pop1/leaf/leaf15|metro5/dc1/dc/dc|0", - "metro5/pop2/leaf/leaf7|metro5/dc1/dc/dc|0" + "metro5/pop2/leaf/leaf11|metro5/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -50536,9 +50536,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ + "metro2/pop1/leaf/leaf6|metro2/dc1/dc/dc|0", "metro1/pop2/leaf/leaf7|metro1/dc1/dc/dc|0", - "metro2/pop1/leaf/leaf13|metro2/dc1/dc/dc|0", - "metro2/pop1/leaf/leaf6|metro2/dc1/dc/dc|0" + "metro2/pop1/leaf/leaf13|metro2/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -50661,8 +50661,8 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro1/pop2/leaf/leaf8|metro1/dc1/dc/dc|0", "metro1/pop1/leaf/leaf13|metro1/dc1/dc/dc|0", + "metro1/pop2/leaf/leaf8|metro1/dc1/dc/dc|0", "metro1/pop2/leaf/leaf11|metro1/dc1/dc/dc|0" ] }, @@ -50784,8 +50784,8 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro1/pop1/leaf/leaf4|metro1/dc1/dc/dc|0", "metro5/pop2/leaf/leaf1|metro5/dc1/dc/dc|0", + "metro1/pop1/leaf/leaf4|metro1/dc1/dc/dc|0", "metro1/pop2/leaf/leaf7|metro1/dc1/dc/dc|0" ] }, @@ -51040,8 +51040,8 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro2/pop1/leaf/leaf10|metro2/dc1/dc/dc|0", "metro1/pop2/leaf/leaf9|metro1/dc1/dc/dc|0", + "metro2/pop1/leaf/leaf10|metro2/dc1/dc/dc|0", "metro2/pop1/leaf/leaf2|metro2/dc1/dc/dc|0" ] }, @@ -51161,9 +51161,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro1/pop1/leaf/leaf4|metro1/dc1/dc/dc|0", "metro1/pop2/leaf/leaf3|metro1/dc1/dc/dc|0", - "metro1/pop2/leaf/leaf14|metro1/dc1/dc/dc|0" + "metro1/pop2/leaf/leaf14|metro1/dc1/dc/dc|0", + "metro1/pop1/leaf/leaf4|metro1/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -51284,9 +51284,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ + "metro5/pop2/leaf/leaf2|metro5/dc1/dc/dc|0", "metro1/pop2/leaf/leaf4|metro1/dc1/dc/dc|0", - "metro2/pop1/leaf/leaf16|metro2/dc1/dc/dc|0", - "metro5/pop2/leaf/leaf2|metro5/dc1/dc/dc|0" + "metro2/pop1/leaf/leaf16|metro2/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -51646,10 +51646,10 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro2/pop1/leaf/leaf1|metro2/pop1/spine/spine3|0", + "metro5/pop1/leaf/leaf12|metro5/pop1/spine/spine4|0", "metro2/pop2/leaf/leaf7|metro2/pop2/spine/spine2|0", "metro5/pop2/leaf/leaf12|metro5/pop2/spine/spine4|0", - "metro5/pop1/leaf/leaf12|metro5/pop1/spine/spine4|0" + "metro2/pop1/leaf/leaf1|metro2/pop1/spine/spine3|0" ] }, "failure_trace": null, @@ -51760,9 +51760,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro1/pop1/leaf/leaf14|metro1/pop1/spine/spine4|0", "metro5/pop2/leaf/leaf9|metro5/pop2/spine/spine4|0", "metro5/pop1/leaf/leaf8|metro5/pop1/spine/spine2|0", + "metro1/pop1/leaf/leaf14|metro1/pop1/spine/spine4|0", "metro2/pop1/leaf/leaf9|metro2/pop1/spine/spine4|0" ] }, @@ -51988,10 +51988,10 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro1/pop2/leaf/leaf14|metro1/pop2/spine/spine1|0", - "metro1/pop1/leaf/leaf10|metro1/pop1/spine/spine2|0", "metro2/pop2/leaf/leaf4|metro2/pop2/spine/spine2|0", - "metro2/pop2/leaf/leaf2|metro2/pop2/spine/spine2|0" + "metro2/pop2/leaf/leaf2|metro2/pop2/spine/spine2|0", + "metro1/pop1/leaf/leaf10|metro1/pop1/spine/spine2|0", + "metro1/pop2/leaf/leaf14|metro1/pop2/spine/spine1|0" ] }, "failure_trace": null, @@ -52102,8 +52102,8 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro5/pop2/leaf/leaf8|metro5/dc1/dc/dc|0", "metro5/pop1/leaf/leaf10|metro5/dc1/dc/dc|0", + "metro5/pop2/leaf/leaf8|metro5/dc1/dc/dc|0", "metro5/pop1/leaf/leaf14|metro5/dc1/dc/dc|0" ] }, @@ -52221,10 +52221,10 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro2/pop1/leaf/leaf9|metro2/pop1/spine/spine4|0", "metro2/pop2/leaf/leaf2|metro2/pop2/spine/spine1|0", "metro5/pop1/leaf/leaf5|metro5/pop1/spine/spine1|0", - "metro1/pop2/leaf/leaf11|metro1/pop2/spine/spine4|0" + "metro1/pop2/leaf/leaf11|metro1/pop2/spine/spine4|0", + "metro2/pop1/leaf/leaf9|metro2/pop1/spine/spine4|0" ] }, "failure_trace": null, @@ -52336,8 +52336,8 @@ "excluded_nodes": [], "excluded_links": [ "metro5/pop2/leaf/leaf5|metro5/dc1/dc/dc|0", - "metro5/pop1/leaf/leaf10|metro5/dc1/dc/dc|0", - "metro5/pop1/leaf/leaf12|metro5/dc1/dc/dc|0" + "metro5/pop1/leaf/leaf12|metro5/dc1/dc/dc|0", + "metro5/pop1/leaf/leaf10|metro5/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -52454,8 +52454,8 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro2/pop1/leaf/leaf11|metro2/dc1/dc/dc|0", "metro5/pop2/leaf/leaf10|metro5/dc1/dc/dc|0", + "metro2/pop1/leaf/leaf11|metro2/dc1/dc/dc|0", "metro1/pop1/leaf/leaf2|metro1/dc1/dc/dc|0" ] }, @@ -52575,8 +52575,8 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro1/pop1/leaf/leaf16|metro1/dc1/dc/dc|0", "metro1/pop1/leaf/leaf14|metro1/dc1/dc/dc|0", + "metro1/pop1/leaf/leaf16|metro1/dc1/dc/dc|0", "metro5/pop1/leaf/leaf14|metro5/dc1/dc/dc|0" ] }, @@ -52698,9 +52698,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ + "metro5/pop1/leaf/leaf6|metro5/dc1/dc/dc|0", "metro2/pop1/leaf/leaf9|metro2/dc1/dc/dc|0", - "metro2/pop1/leaf/leaf5|metro2/dc1/dc/dc|0", - "metro5/pop1/leaf/leaf6|metro5/dc1/dc/dc|0" + "metro2/pop1/leaf/leaf5|metro2/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -52820,9 +52820,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro1/pop1/leaf/leaf8|metro1/dc1/dc/dc|0", "metro5/pop2/leaf/leaf9|metro5/dc1/dc/dc|0", - "metro5/pop2/leaf/leaf12|metro5/dc1/dc/dc|0" + "metro5/pop2/leaf/leaf12|metro5/dc1/dc/dc|0", + "metro1/pop1/leaf/leaf8|metro1/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -52939,8 +52939,8 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro5/pop1/leaf/leaf16|metro5/pop1/spine/spine2|0", "metro5/pop1/leaf/leaf5|metro5/pop1/spine/spine1|0", + "metro5/pop1/leaf/leaf16|metro5/pop1/spine/spine2|0", "metro5/pop1/leaf/leaf2|metro5/pop1/spine/spine4|0", "metro1/pop2/leaf/leaf7|metro1/pop2/spine/spine2|0" ] @@ -53053,9 +53053,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro2/pop2/leaf/leaf13|metro2/dc1/dc/dc|0", + "metro2/pop1/leaf/leaf6|metro2/dc1/dc/dc|0", "metro5/pop1/leaf/leaf12|metro5/dc1/dc/dc|0", - "metro2/pop1/leaf/leaf6|metro2/dc1/dc/dc|0" + "metro2/pop2/leaf/leaf13|metro2/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -53182,9 +53182,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ + "metro1/pop2/leaf/leaf2|metro1/dc1/dc/dc|0", "metro2/pop1/leaf/leaf6|metro2/dc1/dc/dc|0", - "metro2/pop2/leaf/leaf12|metro2/dc1/dc/dc|0", - "metro1/pop2/leaf/leaf2|metro1/dc1/dc/dc|0" + "metro2/pop2/leaf/leaf12|metro2/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -53311,8 +53311,8 @@ "excluded_nodes": [], "excluded_links": [ "metro1/pop1/leaf/leaf4|metro1/dc1/dc/dc|0", - "metro1/pop1/leaf/leaf6|metro1/dc1/dc/dc|0", - "metro5/pop1/leaf/leaf2|metro5/dc1/dc/dc|0" + "metro5/pop1/leaf/leaf2|metro5/dc1/dc/dc|0", + "metro1/pop1/leaf/leaf6|metro1/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -53432,9 +53432,9 @@ "excluded_nodes": [], "excluded_links": [ "metro2/pop2/leaf/leaf5|metro2/pop2/spine/spine4|0", - "metro2/pop1/leaf/leaf6|metro2/pop1/spine/spine2|0", "metro1/pop1/leaf/leaf13|metro1/pop1/spine/spine3|0", - "metro1/pop1/leaf/leaf5|metro1/pop1/spine/spine4|0" + "metro1/pop1/leaf/leaf5|metro1/pop1/spine/spine4|0", + "metro2/pop1/leaf/leaf6|metro2/pop1/spine/spine2|0" ] }, "failure_trace": null, @@ -53545,9 +53545,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro1/pop2/leaf/leaf7|metro1/dc1/dc/dc|0", + "metro5/pop2/leaf/leaf3|metro5/dc1/dc/dc|0", "metro2/pop1/leaf/leaf4|metro2/dc1/dc/dc|0", - "metro5/pop2/leaf/leaf3|metro5/dc1/dc/dc|0" + "metro1/pop2/leaf/leaf7|metro1/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -53671,9 +53671,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ + "metro2/pop2/leaf/leaf5|metro2/pop2/spine/spine2|0", "metro1/pop2/leaf/leaf8|metro1/pop2/spine/spine2|0", "metro5/pop1/leaf/leaf4|metro5/pop1/spine/spine2|0", - "metro2/pop2/leaf/leaf5|metro2/pop2/spine/spine2|0", "metro2/pop1/leaf/leaf14|metro2/pop1/spine/spine3|0" ] }, @@ -53785,9 +53785,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ + "metro2/pop2/leaf/leaf14|metro2/dc1/dc/dc|0", "metro5/pop1/leaf/leaf7|metro5/dc1/dc/dc|0", - "metro1/pop1/leaf/leaf11|metro1/dc1/dc/dc|0", - "metro2/pop2/leaf/leaf14|metro2/dc1/dc/dc|0" + "metro1/pop1/leaf/leaf11|metro1/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -54026,8 +54026,8 @@ "excluded_nodes": [], "excluded_links": [ "metro5/pop2/leaf/leaf1|metro5/dc1/dc/dc|0", - "metro5/pop1/leaf/leaf13|metro5/dc1/dc/dc|0", - "metro5/pop1/leaf/leaf6|metro5/dc1/dc/dc|0" + "metro5/pop1/leaf/leaf6|metro5/dc1/dc/dc|0", + "metro5/pop1/leaf/leaf13|metro5/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -54255,8 +54255,8 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro1/pop1/leaf/leaf8|metro1/dc1/dc/dc|0", "metro1/pop2/leaf/leaf12|metro1/dc1/dc/dc|0", + "metro1/pop1/leaf/leaf8|metro1/dc1/dc/dc|0", "metro1/pop1/leaf/leaf10|metro1/dc1/dc/dc|0" ] }, @@ -54612,9 +54612,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro5/pop1/leaf/leaf7|metro5/dc1/dc/dc|0", "metro5/pop1/leaf/leaf11|metro5/dc1/dc/dc|0", - "metro5/pop2/leaf/leaf2|metro5/dc1/dc/dc|0" + "metro5/pop2/leaf/leaf2|metro5/dc1/dc/dc|0", + "metro5/pop1/leaf/leaf7|metro5/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -54731,9 +54731,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro2/pop1/leaf/leaf14|metro2/dc1/dc/dc|0", + "metro2/pop2/leaf/leaf5|metro2/dc1/dc/dc|0", "metro5/pop2/leaf/leaf4|metro5/dc1/dc/dc|0", - "metro2/pop2/leaf/leaf5|metro2/dc1/dc/dc|0" + "metro2/pop1/leaf/leaf14|metro2/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -54854,9 +54854,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ + "metro1/pop1/leaf/leaf1|metro1/dc1/dc/dc|0", "metro5/pop1/leaf/leaf2|metro5/dc1/dc/dc|0", - "metro2/pop1/leaf/leaf16|metro2/dc1/dc/dc|0", - "metro1/pop1/leaf/leaf1|metro1/dc1/dc/dc|0" + "metro2/pop1/leaf/leaf16|metro2/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -54977,8 +54977,8 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro5/pop1/leaf/leaf15|metro5/dc1/dc/dc|0", "metro5/pop1/leaf/leaf14|metro5/dc1/dc/dc|0", + "metro5/pop1/leaf/leaf15|metro5/dc1/dc/dc|0", "metro2/pop2/leaf/leaf11|metro2/dc1/dc/dc|0" ] }, @@ -55103,8 +55103,8 @@ "excluded_nodes": [], "excluded_links": [ "metro1/pop2/leaf/leaf12|metro1/dc1/dc/dc|0", - "metro2/pop1/leaf/leaf7|metro2/dc1/dc/dc|0", - "metro2/pop1/leaf/leaf12|metro2/dc1/dc/dc|0" + "metro2/pop1/leaf/leaf12|metro2/dc1/dc/dc|0", + "metro2/pop1/leaf/leaf7|metro2/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -55221,8 +55221,8 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro2/pop2/leaf/leaf8|metro2/dc1/dc/dc|0", "metro1/pop1/leaf/leaf14|metro1/dc1/dc/dc|0", + "metro2/pop2/leaf/leaf8|metro2/dc1/dc/dc|0", "metro2/pop1/leaf/leaf2|metro2/dc1/dc/dc|0" ] }, @@ -55348,10 +55348,10 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro5/pop2/leaf/leaf3|metro5/pop2/spine/spine2|0", - "metro2/pop1/leaf/leaf15|metro2/pop1/spine/spine4|0", "metro1/pop2/leaf/leaf15|metro1/pop2/spine/spine3|0", - "metro5/pop2/leaf/leaf15|metro5/pop2/spine/spine4|0" + "metro5/pop2/leaf/leaf15|metro5/pop2/spine/spine4|0", + "metro5/pop2/leaf/leaf3|metro5/pop2/spine/spine2|0", + "metro2/pop1/leaf/leaf15|metro2/pop1/spine/spine4|0" ] }, "failure_trace": null, @@ -55462,8 +55462,8 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro5/pop1/leaf/leaf8|metro5/dc1/dc/dc|0", "metro5/pop1/leaf/leaf10|metro5/dc1/dc/dc|0", + "metro5/pop1/leaf/leaf8|metro5/dc1/dc/dc|0", "metro5/pop1/leaf/leaf14|metro5/dc1/dc/dc|0" ] }, @@ -55818,8 +55818,8 @@ "excluded_nodes": [], "excluded_links": [ "metro5/pop1/leaf/leaf10|metro5/dc1/dc/dc|0", - "metro1/pop1/leaf/leaf2|metro1/dc1/dc/dc|0", - "metro2/pop2/leaf/leaf9|metro2/dc1/dc/dc|0" + "metro2/pop2/leaf/leaf9|metro2/dc1/dc/dc|0", + "metro1/pop1/leaf/leaf2|metro1/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -55948,9 +55948,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro5/pop2/leaf/leaf11|metro5/dc1/dc/dc|0", "metro5/pop1/leaf/leaf8|metro5/dc1/dc/dc|0", - "metro5/pop1/leaf/leaf16|metro5/dc1/dc/dc|0" + "metro5/pop1/leaf/leaf16|metro5/dc1/dc/dc|0", + "metro5/pop2/leaf/leaf11|metro5/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -56190,9 +56190,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ + "metro5/pop2/leaf/leaf7|metro5/dc1/dc/dc|0", "metro2/pop1/leaf/leaf3|metro2/dc1/dc/dc|0", - "metro1/pop2/leaf/leaf6|metro1/dc1/dc/dc|0", - "metro5/pop2/leaf/leaf7|metro5/dc1/dc/dc|0" + "metro1/pop2/leaf/leaf6|metro1/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -56425,9 +56425,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ + "metro2/pop1/leaf/leaf12|metro2/dc1/dc/dc|0", "metro2/pop1/leaf/leaf10|metro2/dc1/dc/dc|0", - "metro1/pop2/leaf/leaf16|metro1/dc1/dc/dc|0", - "metro2/pop1/leaf/leaf12|metro2/dc1/dc/dc|0" + "metro1/pop2/leaf/leaf16|metro1/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -56546,9 +56546,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro5/pop2/leaf/leaf13|metro5/dc1/dc/dc|0", "metro2/pop2/leaf/leaf1|metro2/dc1/dc/dc|0", - "metro1/pop2/leaf/leaf4|metro1/dc1/dc/dc|0" + "metro1/pop2/leaf/leaf4|metro1/dc1/dc/dc|0", + "metro5/pop2/leaf/leaf13|metro5/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -56668,9 +56668,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro2/pop1/leaf/leaf1|metro2/dc1/dc/dc|0", "metro2/pop2/leaf/leaf2|metro2/dc1/dc/dc|0", - "metro5/pop1/leaf/leaf2|metro5/dc1/dc/dc|0" + "metro5/pop1/leaf/leaf2|metro5/dc1/dc/dc|0", + "metro2/pop1/leaf/leaf1|metro2/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -56793,9 +56793,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ + "metro5/pop2/leaf/leaf6|metro5/dc1/dc/dc|0", "metro2/pop1/leaf/leaf2|metro2/dc1/dc/dc|0", - "metro1/pop1/leaf/leaf6|metro1/dc1/dc/dc|0", - "metro5/pop2/leaf/leaf6|metro5/dc1/dc/dc|0" + "metro1/pop1/leaf/leaf6|metro1/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -56914,8 +56914,8 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro2/pop2/leaf/leaf5|metro2/dc1/dc/dc|0", "metro5/pop2/leaf/leaf16|metro5/dc1/dc/dc|0", + "metro2/pop2/leaf/leaf5|metro2/dc1/dc/dc|0", "metro1/pop2/leaf/leaf13|metro1/dc1/dc/dc|0" ] }, @@ -57040,8 +57040,8 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro5/pop1/leaf/leaf8|metro5/dc1/dc/dc|0", "metro1/pop2/leaf/leaf3|metro1/dc1/dc/dc|0", + "metro5/pop1/leaf/leaf8|metro5/dc1/dc/dc|0", "metro5/pop1/leaf/leaf15|metro5/dc1/dc/dc|0" ] }, @@ -57165,8 +57165,8 @@ "excluded_nodes": [], "excluded_links": [ "metro5/pop1/leaf/leaf8|metro5/dc1/dc/dc|0", - "metro2/pop2/leaf/leaf14|metro2/dc1/dc/dc|0", - "metro1/pop2/leaf/leaf16|metro1/dc1/dc/dc|0" + "metro1/pop2/leaf/leaf16|metro1/dc1/dc/dc|0", + "metro2/pop2/leaf/leaf14|metro2/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -57533,10 +57533,10 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro1/pop1/leaf/leaf14|metro1/pop1/spine/spine4|0", + "metro5/pop2/leaf/leaf8|metro5/pop2/spine/spine1|0", "metro2/pop1/leaf/leaf10|metro2/pop1/spine/spine1|0", - "metro1/pop2/leaf/leaf4|metro1/pop2/spine/spine4|0", - "metro5/pop2/leaf/leaf8|metro5/pop2/spine/spine1|0" + "metro1/pop1/leaf/leaf14|metro1/pop1/spine/spine4|0", + "metro1/pop2/leaf/leaf4|metro1/pop2/spine/spine4|0" ] }, "failure_trace": null, @@ -57647,8 +57647,8 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro2/pop2/leaf/leaf8|metro2/dc1/dc/dc|0", "metro1/pop2/leaf/leaf1|metro1/dc1/dc/dc|0", + "metro2/pop2/leaf/leaf8|metro2/dc1/dc/dc|0", "metro2/pop1/leaf/leaf4|metro2/dc1/dc/dc|0" ] }, @@ -57897,8 +57897,8 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro5/pop2/leaf/leaf14|metro5/dc1/dc/dc|0", "metro5/pop1/leaf/leaf6|metro5/dc1/dc/dc|0", + "metro5/pop2/leaf/leaf14|metro5/dc1/dc/dc|0", "metro2/pop1/leaf/leaf2|metro2/dc1/dc/dc|0" ] }, @@ -58020,9 +58020,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro2/pop1/leaf/leaf8|metro2/dc1/dc/dc|0", "metro5/pop2/leaf/leaf10|metro5/dc1/dc/dc|0", - "metro1/pop2/leaf/leaf12|metro1/dc1/dc/dc|0" + "metro1/pop2/leaf/leaf12|metro1/dc1/dc/dc|0", + "metro2/pop1/leaf/leaf8|metro2/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -58141,10 +58141,10 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro1/pop2/leaf/leaf4|metro1/pop2/spine/spine2|0", "metro1/pop1/leaf/leaf13|metro1/pop1/spine/spine2|0", + "metro2/pop1/leaf/leaf2|metro2/pop1/spine/spine2|0", "metro5/pop2/leaf/leaf8|metro5/pop2/spine/spine3|0", - "metro2/pop1/leaf/leaf2|metro2/pop1/spine/spine2|0" + "metro1/pop2/leaf/leaf4|metro1/pop2/spine/spine2|0" ] }, "failure_trace": null, @@ -58255,8 +58255,8 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro1/pop2/leaf/leaf4|metro1/dc1/dc/dc|0", "metro1/pop2/leaf/leaf12|metro1/dc1/dc/dc|0", + "metro1/pop2/leaf/leaf4|metro1/dc1/dc/dc|0", "metro2/pop2/leaf/leaf11|metro2/dc1/dc/dc|0" ] }, @@ -58377,8 +58377,8 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro1/pop1/leaf/leaf15|metro1/dc1/dc/dc|0", "metro1/pop1/leaf/leaf9|metro1/dc1/dc/dc|0", + "metro1/pop1/leaf/leaf15|metro1/dc1/dc/dc|0", "metro2/pop1/leaf/leaf2|metro2/dc1/dc/dc|0" ] }, @@ -58496,8 +58496,8 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro1/pop2/leaf/leaf1|metro1/dc1/dc/dc|0", "metro5/pop2/leaf/leaf10|metro5/dc1/dc/dc|0", + "metro1/pop2/leaf/leaf1|metro1/dc1/dc/dc|0", "metro2/pop1/leaf/leaf15|metro2/dc1/dc/dc|0" ] }, @@ -58613,9 +58613,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro1/pop2/leaf/leaf1|metro1/dc1/dc/dc|0", + "metro2/pop2/leaf/leaf9|metro2/dc1/dc/dc|0", "metro2/pop2/leaf/leaf14|metro2/dc1/dc/dc|0", - "metro2/pop2/leaf/leaf9|metro2/dc1/dc/dc|0" + "metro1/pop2/leaf/leaf1|metro1/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -58738,8 +58738,8 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro2/pop1/leaf/leaf10|metro2/dc1/dc/dc|0", "metro1/pop2/leaf/leaf12|metro1/dc1/dc/dc|0", + "metro2/pop1/leaf/leaf10|metro2/dc1/dc/dc|0", "metro2/pop2/leaf/leaf16|metro2/dc1/dc/dc|0" ] }, @@ -58859,10 +58859,10 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro2/pop1/leaf/leaf3|metro2/pop1/spine/spine2|0", "metro2/pop1/leaf/leaf10|metro2/pop1/spine/spine4|0", + "metro1/pop1/leaf/leaf8|metro1/pop1/spine/spine1|0", "metro1/pop2/leaf/leaf2|metro1/pop2/spine/spine4|0", - "metro1/pop1/leaf/leaf8|metro1/pop1/spine/spine1|0" + "metro2/pop1/leaf/leaf3|metro2/pop1/spine/spine2|0" ] }, "failure_trace": null, @@ -59199,10 +59199,10 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro5/pop1/leaf/leaf7|metro5/pop1/spine/spine3|0", - "metro5/pop1/leaf/leaf13|metro5/pop1/spine/spine2|0", "metro2/pop2/leaf/leaf15|metro2/pop2/spine/spine3|0", - "metro5/pop2/leaf/leaf8|metro5/pop2/spine/spine4|0" + "metro5/pop1/leaf/leaf7|metro5/pop1/spine/spine3|0", + "metro5/pop2/leaf/leaf8|metro5/pop2/spine/spine4|0", + "metro5/pop1/leaf/leaf13|metro5/pop1/spine/spine2|0" ] }, "failure_trace": null, @@ -59426,9 +59426,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ + "metro5/pop1/leaf/leaf2|metro5/pop1/spine/spine3|0", "metro5/pop2/leaf/leaf7|metro5/pop2/spine/spine1|0", "metro5/pop1/leaf/leaf5|metro5/pop1/spine/spine1|0", - "metro5/pop1/leaf/leaf2|metro5/pop1/spine/spine3|0", "metro2/pop2/leaf/leaf8|metro2/pop2/spine/spine3|0" ] }, @@ -59540,10 +59540,10 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro1/pop2/leaf/leaf3|metro1/pop2/spine/spine1|0", + "metro2/pop1/leaf/leaf5|metro2/pop1/spine/spine3|0", "metro5/pop2/leaf/leaf3|metro5/pop2/spine/spine4|0", "metro5/pop1/leaf/leaf3|metro5/pop1/spine/spine1|0", - "metro2/pop1/leaf/leaf5|metro2/pop1/spine/spine3|0" + "metro1/pop2/leaf/leaf3|metro1/pop2/spine/spine1|0" ] }, "failure_trace": null, @@ -59774,8 +59774,8 @@ "excluded_nodes": [], "excluded_links": [ "metro5/pop1/leaf/leaf8|metro5/dc1/dc/dc|0", - "metro1/pop1/leaf/leaf6|metro1/dc1/dc/dc|0", - "metro2/pop1/leaf/leaf12|metro2/dc1/dc/dc|0" + "metro2/pop1/leaf/leaf12|metro2/dc1/dc/dc|0", + "metro1/pop1/leaf/leaf6|metro1/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -60022,9 +60022,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ + "metro5/pop1/leaf/leaf4|metro5/dc1/dc/dc|0", "metro5/pop1/leaf/leaf9|metro5/dc1/dc/dc|0", - "metro2/pop1/leaf/leaf9|metro2/dc1/dc/dc|0", - "metro5/pop1/leaf/leaf4|metro5/dc1/dc/dc|0" + "metro2/pop1/leaf/leaf9|metro2/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -60145,10 +60145,10 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro5/pop1/leaf/leaf16|metro5/pop1/spine/spine2|0", + "metro5/pop1/leaf/leaf11|metro5/pop1/spine/spine4|0", "metro2/pop1/leaf/leaf5|metro2/pop1/spine/spine1|0", - "metro5/pop1/leaf/leaf3|metro5/pop1/spine/spine4|0", - "metro5/pop1/leaf/leaf11|metro5/pop1/spine/spine4|0" + "metro5/pop1/leaf/leaf16|metro5/pop1/spine/spine2|0", + "metro5/pop1/leaf/leaf3|metro5/pop1/spine/spine4|0" ] }, "failure_trace": null, @@ -60259,9 +60259,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro2/pop1/leaf/leaf13|metro2/dc1/dc/dc|0", + "metro2/pop2/leaf/leaf5|metro2/dc1/dc/dc|0", "metro2/pop2/leaf/leaf1|metro2/dc1/dc/dc|0", - "metro2/pop2/leaf/leaf5|metro2/dc1/dc/dc|0" + "metro2/pop1/leaf/leaf13|metro2/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -60384,9 +60384,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ + "metro1/pop2/leaf/leaf9|metro1/dc1/dc/dc|0", "metro5/pop2/leaf/leaf13|metro5/dc1/dc/dc|0", - "metro1/pop2/leaf/leaf10|metro1/dc1/dc/dc|0", - "metro1/pop2/leaf/leaf9|metro1/dc1/dc/dc|0" + "metro1/pop2/leaf/leaf10|metro1/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -60505,8 +60505,8 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro2/pop2/leaf/leaf13|metro2/dc1/dc/dc|0", "metro5/pop1/leaf/leaf6|metro5/dc1/dc/dc|0", + "metro2/pop2/leaf/leaf13|metro2/dc1/dc/dc|0", "metro5/pop1/leaf/leaf16|metro5/dc1/dc/dc|0" ] }, @@ -60628,8 +60628,8 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro1/pop2/leaf/leaf8|metro1/dc1/dc/dc|0", "metro5/pop2/leaf/leaf2|metro5/dc1/dc/dc|0", + "metro1/pop2/leaf/leaf8|metro1/dc1/dc/dc|0", "metro2/pop1/leaf/leaf2|metro2/dc1/dc/dc|0" ] }, @@ -60750,10 +60750,10 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro5/pop1/leaf/leaf7|metro5/pop1/spine/spine2|0", + "metro1/pop1/leaf/leaf15|metro1/pop1/spine/spine3|0", "metro5/pop2/leaf/leaf12|metro5/pop2/spine/spine3|0", - "metro2/pop2/leaf/leaf11|metro2/pop2/spine/spine4|0", - "metro1/pop1/leaf/leaf15|metro1/pop1/spine/spine3|0" + "metro5/pop1/leaf/leaf7|metro5/pop1/spine/spine2|0", + "metro2/pop2/leaf/leaf11|metro2/pop2/spine/spine4|0" ] }, "failure_trace": null, @@ -60864,9 +60864,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro1/pop1/leaf/leaf10|metro1/pop1/spine/spine4|0", "metro5/pop2/leaf/leaf9|metro5/pop2/spine/spine4|0", "metro2/pop2/leaf/leaf5|metro2/pop2/spine/spine3|0", + "metro1/pop1/leaf/leaf10|metro1/pop1/spine/spine4|0", "metro5/pop1/leaf/leaf2|metro5/pop1/spine/spine4|0" ] }, @@ -60978,9 +60978,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ + "metro2/pop1/leaf/leaf4|metro2/dc1/dc/dc|0", "metro2/pop2/leaf/leaf7|metro2/dc1/dc/dc|0", - "metro5/pop1/leaf/leaf14|metro5/dc1/dc/dc|0", - "metro2/pop1/leaf/leaf4|metro2/dc1/dc/dc|0" + "metro5/pop1/leaf/leaf14|metro5/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -61105,9 +61105,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ + "metro5/pop1/leaf/leaf10|metro5/dc1/dc/dc|0", "metro2/pop1/leaf/leaf8|metro2/dc1/dc/dc|0", - "metro2/pop2/leaf/leaf3|metro2/dc1/dc/dc|0", - "metro5/pop1/leaf/leaf10|metro5/dc1/dc/dc|0" + "metro2/pop2/leaf/leaf3|metro2/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -61234,8 +61234,8 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro5/pop1/leaf/leaf9|metro5/dc1/dc/dc|0", "metro2/pop2/leaf/leaf4|metro2/dc1/dc/dc|0", + "metro5/pop1/leaf/leaf9|metro5/dc1/dc/dc|0", "metro5/pop1/leaf/leaf2|metro5/dc1/dc/dc|0" ] }, @@ -61357,9 +61357,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ + "metro5/pop2/leaf/leaf2|metro5/dc1/dc/dc|0", "metro2/pop2/leaf/leaf13|metro2/dc1/dc/dc|0", - "metro2/pop1/leaf/leaf10|metro2/dc1/dc/dc|0", - "metro5/pop2/leaf/leaf2|metro5/dc1/dc/dc|0" + "metro2/pop1/leaf/leaf10|metro2/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -61478,8 +61478,8 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro1/pop2/leaf/leaf12|metro1/dc1/dc/dc|0", "metro5/pop2/leaf/leaf15|metro5/dc1/dc/dc|0", + "metro1/pop2/leaf/leaf12|metro1/dc1/dc/dc|0", "metro1/pop1/leaf/leaf13|metro1/dc1/dc/dc|0" ] }, @@ -61712,9 +61712,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro5/pop2/leaf/leaf11|metro5/dc1/dc/dc|0", + "metro2/pop1/leaf/leaf7|metro2/dc1/dc/dc|0", "metro1/pop1/leaf/leaf2|metro1/dc1/dc/dc|0", - "metro2/pop1/leaf/leaf7|metro2/dc1/dc/dc|0" + "metro5/pop2/leaf/leaf11|metro5/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -61835,8 +61835,8 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro1/pop2/leaf/leaf8|metro1/dc1/dc/dc|0", "metro5/pop2/leaf/leaf2|metro5/dc1/dc/dc|0", + "metro1/pop2/leaf/leaf8|metro1/dc1/dc/dc|0", "metro2/pop1/leaf/leaf4|metro2/dc1/dc/dc|0" ] }, @@ -61961,9 +61961,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ + "metro1/pop2/leaf/leaf14|metro1/dc1/dc/dc|0", "metro2/pop1/leaf/leaf6|metro2/dc1/dc/dc|0", - "metro5/pop1/leaf/leaf1|metro5/dc1/dc/dc|0", - "metro1/pop2/leaf/leaf14|metro1/dc1/dc/dc|0" + "metro5/pop1/leaf/leaf1|metro5/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -62089,9 +62089,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro1/pop2/leaf/leaf8|metro1/dc1/dc/dc|0", "metro2/pop1/leaf/leaf12|metro2/dc1/dc/dc|0", - "metro1/pop1/leaf/leaf3|metro1/dc1/dc/dc|0" + "metro1/pop1/leaf/leaf3|metro1/dc1/dc/dc|0", + "metro1/pop2/leaf/leaf8|metro1/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -62213,9 +62213,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ + "metro5/pop2/leaf/leaf12|metro5/dc1/dc/dc|0", "metro2/pop1/leaf/leaf9|metro2/dc1/dc/dc|0", - "metro2/pop1/leaf/leaf13|metro2/dc1/dc/dc|0", - "metro5/pop2/leaf/leaf12|metro5/dc1/dc/dc|0" + "metro2/pop1/leaf/leaf13|metro2/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -62334,8 +62334,8 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro2/pop1/leaf/leaf14|metro2/dc1/dc/dc|0", "metro1/pop1/leaf/leaf13|metro1/dc1/dc/dc|0", + "metro2/pop1/leaf/leaf14|metro2/dc1/dc/dc|0", "metro2/pop2/leaf/leaf11|metro2/dc1/dc/dc|0" ] }, @@ -62459,9 +62459,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ + "metro1/pop1/leaf/leaf3|metro1/dc1/dc/dc|0", "metro2/pop2/leaf/leaf8|metro2/dc1/dc/dc|0", - "metro2/pop1/leaf/leaf4|metro2/dc1/dc/dc|0", - "metro1/pop1/leaf/leaf3|metro1/dc1/dc/dc|0" + "metro2/pop1/leaf/leaf4|metro2/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -62587,8 +62587,8 @@ "excluded_nodes": [], "excluded_links": [ "metro5/pop2/leaf/leaf5|metro5/dc1/dc/dc|0", - "metro2/pop2/leaf/leaf3|metro2/dc1/dc/dc|0", - "metro5/pop2/leaf/leaf4|metro5/dc1/dc/dc|0" + "metro5/pop2/leaf/leaf4|metro5/dc1/dc/dc|0", + "metro2/pop2/leaf/leaf3|metro2/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -62705,9 +62705,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro5/pop1/leaf/leaf14|metro5/dc1/dc/dc|0", + "metro5/pop2/leaf/leaf6|metro5/dc1/dc/dc|0", "metro5/pop2/leaf/leaf4|metro5/dc1/dc/dc|0", - "metro5/pop2/leaf/leaf6|metro5/dc1/dc/dc|0" + "metro5/pop1/leaf/leaf14|metro5/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -62947,9 +62947,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro5/pop1/leaf/leaf7|metro5/dc1/dc/dc|0", + "metro5/pop2/leaf/leaf7|metro5/dc1/dc/dc|0", "metro2/pop2/leaf/leaf13|metro2/dc1/dc/dc|0", - "metro5/pop2/leaf/leaf7|metro5/dc1/dc/dc|0" + "metro5/pop1/leaf/leaf7|metro5/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -63074,9 +63074,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ + "metro2/pop2/leaf/leaf14|metro2/dc1/dc/dc|0", "metro5/pop1/leaf/leaf9|metro5/dc1/dc/dc|0", - "metro2/pop1/leaf/leaf5|metro2/dc1/dc/dc|0", - "metro2/pop2/leaf/leaf14|metro2/dc1/dc/dc|0" + "metro2/pop1/leaf/leaf5|metro2/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -63202,9 +63202,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro5/pop2/leaf/leaf14|metro5/dc1/dc/dc|0", + "metro2/pop2/leaf/leaf5|metro2/dc1/dc/dc|0", "metro5/pop1/leaf/leaf13|metro5/dc1/dc/dc|0", - "metro2/pop2/leaf/leaf5|metro2/dc1/dc/dc|0" + "metro5/pop2/leaf/leaf14|metro5/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -63331,9 +63331,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro1/pop2/leaf/leaf1|metro1/dc1/dc/dc|0", + "metro1/pop2/leaf/leaf15|metro1/dc1/dc/dc|0", "metro1/pop2/leaf/leaf9|metro1/dc1/dc/dc|0", - "metro1/pop2/leaf/leaf15|metro1/dc1/dc/dc|0" + "metro1/pop2/leaf/leaf1|metro1/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -63563,9 +63563,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro5/pop2/leaf/leaf14|metro5/pop2/spine/spine2|0", - "metro1/pop1/leaf/leaf2|metro1/pop1/spine/spine4|0", "metro5/pop1/leaf/leaf16|metro5/pop1/spine/spine4|0", + "metro1/pop1/leaf/leaf2|metro1/pop1/spine/spine4|0", + "metro5/pop2/leaf/leaf14|metro5/pop2/spine/spine2|0", "metro2/pop2/leaf/leaf16|metro2/pop2/spine/spine2|0" ] }, @@ -63677,10 +63677,10 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro5/pop1/leaf/leaf5|metro5/pop1/spine/spine3|0", + "metro1/pop1/leaf/leaf2|metro1/pop1/spine/spine1|0", "metro2/pop2/leaf/leaf8|metro2/pop2/spine/spine2|0", - "metro2/pop1/leaf/leaf2|metro2/pop1/spine/spine3|0", - "metro1/pop1/leaf/leaf2|metro1/pop1/spine/spine1|0" + "metro5/pop1/leaf/leaf5|metro5/pop1/spine/spine3|0", + "metro2/pop1/leaf/leaf2|metro2/pop1/spine/spine3|0" ] }, "failure_trace": null, @@ -63791,9 +63791,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ + "metro1/pop1/leaf/leaf3|metro1/dc1/dc/dc|0", "metro2/pop1/leaf/leaf7|metro2/dc1/dc/dc|0", - "metro2/pop2/leaf/leaf15|metro2/dc1/dc/dc|0", - "metro1/pop1/leaf/leaf3|metro1/dc1/dc/dc|0" + "metro2/pop2/leaf/leaf15|metro2/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -64038,8 +64038,8 @@ "excluded_nodes": [], "excluded_links": [ "metro1/pop2/leaf/leaf5|metro1/dc1/dc/dc|0", - "metro2/pop1/leaf/leaf7|metro2/dc1/dc/dc|0", - "metro2/pop2/leaf/leaf5|metro2/dc1/dc/dc|0" + "metro2/pop2/leaf/leaf5|metro2/dc1/dc/dc|0", + "metro2/pop1/leaf/leaf7|metro2/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -64166,9 +64166,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ + "metro1/pop2/leaf/leaf9|metro1/dc1/dc/dc|0", "metro2/pop2/leaf/leaf1|metro2/dc1/dc/dc|0", - "metro2/pop2/leaf/leaf13|metro2/dc1/dc/dc|0", - "metro1/pop2/leaf/leaf9|metro1/dc1/dc/dc|0" + "metro2/pop2/leaf/leaf13|metro2/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -64414,10 +64414,10 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro1/pop1/leaf/leaf9|metro1/pop1/spine/spine2|0", "metro1/pop1/leaf/leaf2|metro1/pop1/spine/spine2|0", - "metro5/pop1/leaf/leaf16|metro5/pop1/spine/spine3|0", - "metro2/pop2/leaf/leaf8|metro2/pop2/spine/spine1|0" + "metro2/pop2/leaf/leaf8|metro2/pop2/spine/spine1|0", + "metro1/pop1/leaf/leaf9|metro1/pop1/spine/spine2|0", + "metro5/pop1/leaf/leaf16|metro5/pop1/spine/spine3|0" ] }, "failure_trace": null, @@ -64897,10 +64897,10 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro1/pop1/leaf/leaf1|metro1/pop1/spine/spine2|0", - "metro2/pop2/leaf/leaf16|metro2/pop2/spine/spine2|0", "metro5/pop1/leaf/leaf7|metro5/pop1/spine/spine4|0", - "metro2/pop2/leaf/leaf6|metro2/pop2/spine/spine4|0" + "metro1/pop1/leaf/leaf1|metro1/pop1/spine/spine2|0", + "metro2/pop2/leaf/leaf6|metro2/pop2/spine/spine4|0", + "metro2/pop2/leaf/leaf16|metro2/pop2/spine/spine2|0" ] }, "failure_trace": null, @@ -65136,9 +65136,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro1/pop2/leaf/leaf4|metro1/dc1/dc/dc|0", + "metro5/pop1/leaf/leaf11|metro5/dc1/dc/dc|0", "metro2/pop2/leaf/leaf6|metro2/dc1/dc/dc|0", - "metro5/pop1/leaf/leaf11|metro5/dc1/dc/dc|0" + "metro1/pop2/leaf/leaf4|metro1/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -65269,8 +65269,8 @@ "excluded_nodes": [], "excluded_links": [ "metro5/pop1/leaf/leaf9|metro5/dc1/dc/dc|0", - "metro5/pop1/leaf/leaf7|metro5/dc1/dc/dc|0", - "metro1/pop1/leaf/leaf13|metro1/dc1/dc/dc|0" + "metro1/pop1/leaf/leaf13|metro1/dc1/dc/dc|0", + "metro5/pop1/leaf/leaf7|metro5/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -65388,9 +65388,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro5/pop2/leaf/leaf11|metro5/dc1/dc/dc|0", + "metro2/pop1/leaf/leaf6|metro2/dc1/dc/dc|0", "metro1/pop2/leaf/leaf7|metro1/dc1/dc/dc|0", - "metro2/pop1/leaf/leaf6|metro2/dc1/dc/dc|0" + "metro5/pop2/leaf/leaf11|metro5/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -65515,8 +65515,8 @@ "excluded_nodes": [], "excluded_links": [ "metro5/pop1/leaf/leaf3|metro5/dc1/dc/dc|0", - "metro5/pop1/leaf/leaf13|metro5/dc1/dc/dc|0", - "metro2/pop2/leaf/leaf4|metro2/dc1/dc/dc|0" + "metro2/pop2/leaf/leaf4|metro2/dc1/dc/dc|0", + "metro5/pop1/leaf/leaf13|metro5/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -65637,9 +65637,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro1/pop2/leaf/leaf7|metro1/dc1/dc/dc|0", + "metro1/pop1/leaf/leaf3|metro1/dc1/dc/dc|0", "metro2/pop1/leaf/leaf14|metro2/dc1/dc/dc|0", - "metro1/pop1/leaf/leaf3|metro1/dc1/dc/dc|0" + "metro1/pop2/leaf/leaf7|metro1/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -65761,10 +65761,10 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro1/pop2/leaf/leaf15|metro1/pop2/spine/spine1|0", - "metro1/pop1/leaf/leaf8|metro1/pop1/spine/spine2|0", "metro5/pop1/leaf/leaf13|metro5/pop1/spine/spine4|0", - "metro1/pop1/leaf/leaf13|metro1/pop1/spine/spine2|0" + "metro1/pop1/leaf/leaf13|metro1/pop1/spine/spine2|0", + "metro1/pop1/leaf/leaf8|metro1/pop1/spine/spine2|0", + "metro1/pop2/leaf/leaf15|metro1/pop2/spine/spine1|0" ] }, "failure_trace": null, @@ -65875,9 +65875,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro5/pop1/leaf/leaf15|metro5/dc1/dc/dc|0", + "metro1/pop2/leaf/leaf15|metro1/dc1/dc/dc|0", "metro2/pop2/leaf/leaf6|metro2/dc1/dc/dc|0", - "metro1/pop2/leaf/leaf15|metro1/dc1/dc/dc|0" + "metro5/pop1/leaf/leaf15|metro5/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -66006,8 +66006,8 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro1/pop2/leaf/leaf4|metro1/dc1/dc/dc|0", "metro1/pop2/leaf/leaf16|metro1/dc1/dc/dc|0", + "metro1/pop2/leaf/leaf4|metro1/dc1/dc/dc|0", "metro5/pop1/leaf/leaf2|metro5/dc1/dc/dc|0" ] }, @@ -66131,9 +66131,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ + "metro2/pop2/leaf/leaf6|metro2/dc1/dc/dc|0", "metro5/pop1/leaf/leaf7|metro5/dc1/dc/dc|0", - "metro2/pop1/leaf/leaf16|metro2/dc1/dc/dc|0", - "metro2/pop2/leaf/leaf6|metro2/dc1/dc/dc|0" + "metro2/pop1/leaf/leaf16|metro2/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -66258,9 +66258,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ + "metro5/pop2/leaf/leaf6|metro5/dc1/dc/dc|0", "metro2/pop1/leaf/leaf10|metro2/dc1/dc/dc|0", - "metro1/pop1/leaf/leaf9|metro1/dc1/dc/dc|0", - "metro5/pop2/leaf/leaf6|metro5/dc1/dc/dc|0" + "metro1/pop1/leaf/leaf9|metro1/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -66379,10 +66379,10 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ + "metro1/pop2/leaf/leaf2|metro1/pop2/spine/spine2|0", "metro2/pop1/leaf/leaf6|metro2/pop1/spine/spine4|0", - "metro5/pop2/leaf/leaf5|metro5/pop2/spine/spine4|0", "metro1/pop1/leaf/leaf6|metro1/pop1/spine/spine1|0", - "metro1/pop2/leaf/leaf2|metro1/pop2/spine/spine2|0" + "metro5/pop2/leaf/leaf5|metro5/pop2/spine/spine4|0" ] }, "failure_trace": null, @@ -66493,9 +66493,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro2/pop2/leaf/leaf3|metro2/dc1/dc/dc|0", "metro5/pop2/leaf/leaf15|metro5/dc1/dc/dc|0", - "metro2/pop2/leaf/leaf9|metro2/dc1/dc/dc|0" + "metro2/pop2/leaf/leaf9|metro2/dc1/dc/dc|0", + "metro2/pop2/leaf/leaf3|metro2/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -66618,9 +66618,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro2/pop2/leaf/leaf13|metro2/dc1/dc/dc|0", "metro2/pop1/leaf/leaf8|metro2/dc1/dc/dc|0", - "metro2/pop1/leaf/leaf15|metro2/dc1/dc/dc|0" + "metro2/pop1/leaf/leaf15|metro2/dc1/dc/dc|0", + "metro2/pop2/leaf/leaf13|metro2/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -66743,10 +66743,10 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro1/pop1/leaf/leaf12|metro1/pop1/spine/spine2|0", "metro2/pop2/leaf/leaf4|metro2/pop2/spine/spine4|0", - "metro5/pop1/leaf/leaf8|metro5/pop1/spine/spine3|0", - "metro1/pop2/leaf/leaf1|metro1/pop2/spine/spine1|0" + "metro1/pop2/leaf/leaf1|metro1/pop2/spine/spine1|0", + "metro1/pop1/leaf/leaf12|metro1/pop1/spine/spine2|0", + "metro5/pop1/leaf/leaf8|metro5/pop1/spine/spine3|0" ] }, "failure_trace": null, @@ -66858,8 +66858,8 @@ "excluded_nodes": [], "excluded_links": [ "metro2/pop1/leaf/leaf9|metro2/dc1/dc/dc|0", - "metro1/pop2/leaf/leaf8|metro1/dc1/dc/dc|0", - "metro2/pop1/leaf/leaf12|metro2/dc1/dc/dc|0" + "metro2/pop1/leaf/leaf12|metro2/dc1/dc/dc|0", + "metro1/pop2/leaf/leaf8|metro1/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -67095,9 +67095,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro2/pop1/leaf/leaf13|metro2/dc1/dc/dc|0", "metro5/pop1/leaf/leaf8|metro5/dc1/dc/dc|0", - "metro5/pop1/leaf/leaf1|metro5/dc1/dc/dc|0" + "metro5/pop1/leaf/leaf1|metro5/dc1/dc/dc|0", + "metro2/pop1/leaf/leaf13|metro2/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -67340,9 +67340,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro5/pop1/leaf/leaf15|metro5/pop1/spine/spine2|0", - "metro2/pop1/leaf/leaf4|metro2/pop1/spine/spine4|0", "metro1/pop2/leaf/leaf13|metro1/pop2/spine/spine3|0", + "metro2/pop1/leaf/leaf4|metro2/pop1/spine/spine4|0", + "metro5/pop1/leaf/leaf15|metro5/pop1/spine/spine2|0", "metro2/pop1/leaf/leaf9|metro2/pop1/spine/spine3|0" ] }, @@ -67455,8 +67455,8 @@ "excluded_nodes": [], "excluded_links": [ "metro1/pop1/leaf/leaf14|metro1/dc1/dc/dc|0", - "metro2/pop1/leaf/leaf12|metro2/dc1/dc/dc|0", - "metro5/pop1/leaf/leaf4|metro5/dc1/dc/dc|0" + "metro5/pop1/leaf/leaf4|metro5/dc1/dc/dc|0", + "metro2/pop1/leaf/leaf12|metro2/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -67924,8 +67924,8 @@ "excluded_nodes": [], "excluded_links": [ "metro5/pop1/leaf/leaf8|metro5/dc1/dc/dc|0", - "metro5/pop1/leaf/leaf15|metro5/dc1/dc/dc|0", - "metro1/pop2/leaf/leaf13|metro1/dc1/dc/dc|0" + "metro1/pop2/leaf/leaf13|metro1/dc1/dc/dc|0", + "metro5/pop1/leaf/leaf15|metro5/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -68169,9 +68169,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro2/pop1/leaf/leaf13|metro2/dc1/dc/dc|0", "metro5/pop1/leaf/leaf10|metro5/dc1/dc/dc|0", - "metro5/pop1/leaf/leaf15|metro5/dc1/dc/dc|0" + "metro5/pop1/leaf/leaf15|metro5/dc1/dc/dc|0", + "metro2/pop1/leaf/leaf13|metro2/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -68288,10 +68288,10 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro5/pop2/leaf/leaf7|metro5/pop2/spine/spine1|0", - "metro5/pop2/leaf/leaf6|metro5/pop2/spine/spine3|0", "metro5/pop1/leaf/leaf2|metro5/pop1/spine/spine3|0", - "metro5/pop1/leaf/leaf1|metro5/pop1/spine/spine1|0" + "metro5/pop2/leaf/leaf7|metro5/pop2/spine/spine1|0", + "metro5/pop1/leaf/leaf1|metro5/pop1/spine/spine1|0", + "metro5/pop2/leaf/leaf6|metro5/pop2/spine/spine3|0" ] }, "failure_trace": null, @@ -68638,8 +68638,8 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro2/pop2/leaf/leaf10|metro2/pop2/spine/spine1|0", "metro5/pop1/leaf/leaf4|metro5/pop1/spine/spine4|0", + "metro2/pop2/leaf/leaf10|metro2/pop2/spine/spine1|0", "metro5/pop2/leaf/leaf15|metro5/pop2/spine/spine1|0", "metro2/pop1/leaf/leaf8|metro2/pop1/spine/spine4|0" ] @@ -68752,8 +68752,8 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro5/pop2/leaf/leaf4|metro5/dc1/dc/dc|0", "metro5/pop2/leaf/leaf15|metro5/dc1/dc/dc|0", + "metro5/pop2/leaf/leaf4|metro5/dc1/dc/dc|0", "metro2/pop2/leaf/leaf11|metro2/dc1/dc/dc|0" ] }, @@ -68871,8 +68871,8 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro5/pop1/leaf/leaf9|metro5/dc1/dc/dc|0", "metro1/pop2/leaf/leaf3|metro1/dc1/dc/dc|0", + "metro5/pop1/leaf/leaf9|metro5/dc1/dc/dc|0", "metro5/pop2/leaf/leaf6|metro5/dc1/dc/dc|0" ] }, @@ -69228,10 +69228,10 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro5/pop1/leaf/leaf1|metro5/pop1/spine/spine3|0", "metro2/pop2/leaf/leaf4|metro2/pop2/spine/spine3|0", - "metro1/pop2/leaf/leaf7|metro1/pop2/spine/spine4|0", - "metro1/pop2/leaf/leaf15|metro1/pop2/spine/spine1|0" + "metro1/pop2/leaf/leaf15|metro1/pop2/spine/spine1|0", + "metro5/pop1/leaf/leaf1|metro5/pop1/spine/spine3|0", + "metro1/pop2/leaf/leaf7|metro1/pop2/spine/spine4|0" ] }, "failure_trace": null, @@ -69342,9 +69342,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro1/pop1/leaf/leaf8|metro1/dc1/dc/dc|0", + "metro1/pop2/leaf/leaf11|metro1/dc1/dc/dc|0", "metro5/pop2/leaf/leaf14|metro5/dc1/dc/dc|0", - "metro1/pop2/leaf/leaf11|metro1/dc1/dc/dc|0" + "metro1/pop1/leaf/leaf8|metro1/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -69588,10 +69588,10 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro5/pop2/leaf/leaf10|metro5/pop2/spine/spine2|0", - "metro1/pop1/leaf/leaf4|metro1/pop1/spine/spine1|0", "metro5/pop2/leaf/leaf1|metro5/pop2/spine/spine2|0", - "metro2/pop1/leaf/leaf3|metro2/pop1/spine/spine4|0" + "metro1/pop1/leaf/leaf4|metro1/pop1/spine/spine1|0", + "metro2/pop1/leaf/leaf3|metro2/pop1/spine/spine4|0", + "metro5/pop2/leaf/leaf10|metro5/pop2/spine/spine2|0" ] }, "failure_trace": null, @@ -69702,8 +69702,8 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro1/pop1/leaf/leaf4|metro1/dc1/dc/dc|0", "metro2/pop1/leaf/leaf11|metro2/dc1/dc/dc|0", + "metro1/pop1/leaf/leaf4|metro1/dc1/dc/dc|0", "metro1/pop1/leaf/leaf13|metro1/dc1/dc/dc|0" ] }, @@ -69821,10 +69821,10 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro5/pop1/leaf/leaf14|metro5/pop1/spine/spine3|0", "metro2/pop1/leaf/leaf10|metro2/pop1/spine/spine4|0", "metro1/pop1/leaf/leaf7|metro1/pop1/spine/spine3|0", - "metro1/pop1/leaf/leaf9|metro1/pop1/spine/spine4|0" + "metro1/pop1/leaf/leaf9|metro1/pop1/spine/spine4|0", + "metro5/pop1/leaf/leaf14|metro5/pop1/spine/spine3|0" ] }, "failure_trace": null, @@ -69935,10 +69935,10 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro2/pop2/leaf/leaf2|metro2/pop2/spine/spine2|0", - "metro2/pop1/leaf/leaf13|metro2/pop1/spine/spine1|0", "metro1/pop1/leaf/leaf6|metro1/pop1/spine/spine3|0", - "metro2/pop1/leaf/leaf6|metro2/pop1/spine/spine2|0" + "metro2/pop1/leaf/leaf13|metro2/pop1/spine/spine1|0", + "metro2/pop1/leaf/leaf6|metro2/pop1/spine/spine2|0", + "metro2/pop2/leaf/leaf2|metro2/pop2/spine/spine2|0" ] }, "failure_trace": null, @@ -70049,8 +70049,8 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro1/pop1/leaf/leaf8|metro1/dc1/dc/dc|0", "metro2/pop2/leaf/leaf14|metro2/dc1/dc/dc|0", + "metro1/pop1/leaf/leaf8|metro1/dc1/dc/dc|0", "metro2/pop1/leaf/leaf2|metro2/dc1/dc/dc|0" ] }, @@ -70174,10 +70174,10 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro5/pop1/leaf/leaf5|metro5/pop1/spine/spine2|0", - "metro1/pop1/leaf/leaf4|metro1/pop1/spine/spine1|0", "metro5/pop1/leaf/leaf2|metro5/pop1/spine/spine3|0", - "metro1/pop1/leaf/leaf6|metro1/pop1/spine/spine4|0" + "metro1/pop1/leaf/leaf4|metro1/pop1/spine/spine1|0", + "metro1/pop1/leaf/leaf6|metro1/pop1/spine/spine4|0", + "metro5/pop1/leaf/leaf5|metro5/pop1/spine/spine2|0" ] }, "failure_trace": null, @@ -70290,7 +70290,7 @@ "include_used_edges": false, "base_demands": [ { - "id": "^metro1/dc1/.*|^metro5/dc1/.*|ht-fl4SdTRKLDzaKPxY6xA", + "id": "^metro1/dc1/.*|^metro5/dc1/.*|PpBwcjVoQiyLg5-ry6l2Zw", "source": "^metro1/dc1/.*", "target": "^metro5/dc1/.*", "volume": 15000.0, @@ -70304,7 +70304,7 @@ } }, { - "id": "^metro5/dc1/.*|^metro1/dc1/.*|7BW4ll86S4aPN1ralz2wbQ", + "id": "^metro5/dc1/.*|^metro1/dc1/.*|ujRwzY9jTxq9mB0pZht7DQ", "source": "^metro5/dc1/.*", "target": "^metro1/dc1/.*", "volume": 15000.0, @@ -70318,7 +70318,7 @@ } }, { - "id": "^metro2/dc1/.*|^metro5/dc1/.*|UJ_xOj1FSjaxsyPb9raNXQ", + "id": "^metro2/dc1/.*|^metro5/dc1/.*|BTVMsiOQTZOYO-k9-HEslw", "source": "^metro2/dc1/.*", "target": "^metro5/dc1/.*", "volume": 15000.0, @@ -70332,7 +70332,7 @@ } }, { - "id": "^metro5/dc1/.*|^metro2/dc1/.*|JoPeGhxWT9-9un_T--gKyw", + "id": "^metro5/dc1/.*|^metro2/dc1/.*|4hhEVLm6SYSevRFK3ZmlFw", "source": "^metro5/dc1/.*", "target": "^metro2/dc1/.*", "volume": 15000.0, @@ -70346,7 +70346,7 @@ } }, { - "id": "^metro1/dc1/.*|^metro2/dc1/.*|TWPPSksRQh6Ehg-7y3DeEA", + "id": "^metro1/dc1/.*|^metro2/dc1/.*|ALl8kiq7Sr-FuOKkXZFR7Q", "source": "^metro1/dc1/.*", "target": "^metro2/dc1/.*", "volume": 15000.0, @@ -70360,7 +70360,7 @@ } }, { - "id": "^metro2/dc1/.*|^metro1/dc1/.*|hJnLsuJ4SoqjlwjwB5h_PQ", + "id": "^metro2/dc1/.*|^metro1/dc1/.*|KfnfGDO0Tr2k9JXyPY4OYA", "source": "^metro2/dc1/.*", "target": "^metro1/dc1/.*", "volume": 15000.0, @@ -70381,7 +70381,7 @@ }, "cost_power": { "metadata": { - "duration_sec": 0.0026960372924804688 + "duration_sec": 0.0028531551361083984 }, "data": { "context": { @@ -70658,7 +70658,7 @@ "demands": { "baseline_traffic_matrix": [ { - "id": "^metro1/dc1/.*|^metro5/dc1/.*|ht-fl4SdTRKLDzaKPxY6xA", + "id": "^metro1/dc1/.*|^metro5/dc1/.*|PpBwcjVoQiyLg5-ry6l2Zw", "source": "^metro1/dc1/.*", "target": "^metro5/dc1/.*", "volume": 15000.0, @@ -70672,7 +70672,7 @@ } }, { - "id": "^metro5/dc1/.*|^metro1/dc1/.*|7BW4ll86S4aPN1ralz2wbQ", + "id": "^metro5/dc1/.*|^metro1/dc1/.*|ujRwzY9jTxq9mB0pZht7DQ", "source": "^metro5/dc1/.*", "target": "^metro1/dc1/.*", "volume": 15000.0, @@ -70686,7 +70686,7 @@ } }, { - "id": "^metro2/dc1/.*|^metro5/dc1/.*|UJ_xOj1FSjaxsyPb9raNXQ", + "id": "^metro2/dc1/.*|^metro5/dc1/.*|BTVMsiOQTZOYO-k9-HEslw", "source": "^metro2/dc1/.*", "target": "^metro5/dc1/.*", "volume": 15000.0, @@ -70700,7 +70700,7 @@ } }, { - "id": "^metro5/dc1/.*|^metro2/dc1/.*|JoPeGhxWT9-9un_T--gKyw", + "id": "^metro5/dc1/.*|^metro2/dc1/.*|4hhEVLm6SYSevRFK3ZmlFw", "source": "^metro5/dc1/.*", "target": "^metro2/dc1/.*", "volume": 15000.0, @@ -70714,7 +70714,7 @@ } }, { - "id": "^metro1/dc1/.*|^metro2/dc1/.*|TWPPSksRQh6Ehg-7y3DeEA", + "id": "^metro1/dc1/.*|^metro2/dc1/.*|ALl8kiq7Sr-FuOKkXZFR7Q", "source": "^metro1/dc1/.*", "target": "^metro2/dc1/.*", "volume": 15000.0, @@ -70728,7 +70728,7 @@ } }, { - "id": "^metro2/dc1/.*|^metro1/dc1/.*|hJnLsuJ4SoqjlwjwB5h_PQ", + "id": "^metro2/dc1/.*|^metro1/dc1/.*|KfnfGDO0Tr2k9JXyPY4OYA", "source": "^metro2/dc1/.*", "target": "^metro1/dc1/.*", "volume": 15000.0, @@ -70744,4 +70744,4 @@ ] } } -} \ No newline at end of file +} diff --git a/tests/data/scenarios/small_clos/small_clos__seed11/small_clos__seed11_scenario.yml b/tests/data/scenarios/small_clos/small_clos__seed11/small_clos__seed11_scenario.yml index f85d184..3b30ba4 100644 --- a/tests/data/scenarios/small_clos/small_clos__seed11/small_clos__seed11_scenario.yml +++ b/tests/data/scenarios/small_clos/small_clos__seed11/small_clos__seed11_scenario.yml @@ -211,6 +211,7 @@ network: - attr: role op: == value: leaf + logic: or target: path: metro1/pop2 match: *id001 @@ -289,9 +290,11 @@ network: source_metro: new-york-jersey-city-newark target_metro: washington-arlington target_capacity: 12800.0 - site_edge: metro1/pop1|metro2/pop1|inter_metro:1-2:1-1 - adjacency_id: inter_metro:1-2 + site_edge: metro1/pop1|metro2/pop1|inter_metro:1-2:path0:1-1 + adjacency_id: inter_metro:1-2:path0 distance_km: 412 + euclidean_km: 329.80891925266354 + detour_ratio: 1.2484239409074376 hardware: source: component: 800G-ZR+ @@ -299,7 +302,7 @@ network: target: component: 800G-ZR+ count: 1.0 - risk_groups: &id005 + risk_groups: - corridor_risk_columbus_new-york-jersey-city-newark - corridor_risk_new-york-jersey-city-newark_washington-arlington - source: @@ -324,9 +327,11 @@ network: source_metro: new-york-jersey-city-newark target_metro: columbus target_capacity: 12800.0 - site_edge: metro1/pop1|metro5/pop1|inter_metro:1-5:1-1 - adjacency_id: inter_metro:1-5 + site_edge: metro1/pop1|metro5/pop1|inter_metro:1-5:path0:1-1 + adjacency_id: inter_metro:1-5:path0 distance_km: 977 + euclidean_km: 747.1357017294783 + detour_ratio: 1.3070646931065415 hardware: source: component: 800G-ZR+ @@ -334,7 +339,7 @@ network: target: component: 800G-ZR+ count: 1.0 - risk_groups: &id006 + risk_groups: - corridor_risk_chicago_washington-arlington - corridor_risk_columbus_new-york-jersey-city-newark - corridor_risk_columbus_washington-arlington @@ -363,7 +368,6 @@ network: target: component: 800G-ZR+ count: 3.0 - # Inter-metro corridors - source: path: metro1/pop2 match: *id003 @@ -378,9 +382,11 @@ network: source_metro: new-york-jersey-city-newark target_metro: washington-arlington target_capacity: 12800.0 - site_edge: metro1/pop2|metro2/pop2|inter_metro:1-2:2-2 - adjacency_id: inter_metro:1-2 + site_edge: metro1/pop2|metro2/pop2|inter_metro:1-2:path0:2-2 + adjacency_id: inter_metro:1-2:path0 distance_km: 412 + euclidean_km: 329.80891925266354 + detour_ratio: 1.2484239409074376 hardware: source: component: 800G-ZR+ @@ -388,7 +394,9 @@ network: target: component: 800G-ZR+ count: 1.0 - risk_groups: *id005 + risk_groups: + - corridor_risk_columbus_new-york-jersey-city-newark + - corridor_risk_new-york-jersey-city-newark_washington-arlington - source: path: metro1/pop2 match: *id004 @@ -403,9 +411,11 @@ network: source_metro: new-york-jersey-city-newark target_metro: columbus target_capacity: 12800.0 - site_edge: metro1/pop2|metro5/pop2|inter_metro:1-5:2-2 - adjacency_id: inter_metro:1-5 + site_edge: metro1/pop2|metro5/pop2|inter_metro:1-5:path0:2-2 + adjacency_id: inter_metro:1-5:path0 distance_km: 977 + euclidean_km: 747.1357017294783 + detour_ratio: 1.3070646931065415 hardware: source: component: 800G-ZR+ @@ -413,10 +423,14 @@ network: target: component: 800G-ZR+ count: 1.0 - risk_groups: *id006 + risk_groups: + - corridor_risk_chicago_washington-arlington + - corridor_risk_columbus_new-york-jersey-city-newark + - corridor_risk_columbus_washington-arlington + - corridor_risk_new-york-jersey-city-newark_washington-arlington - source: path: metro2/pop1 - match: &id007 + match: &id005 conditions: - attr: role op: == @@ -424,9 +438,10 @@ network: - attr: role op: == value: leaf + logic: or target: path: metro2/pop2 - match: *id007 + match: *id005 pattern: one_to_one capacity: 1600.0 cost: 103 @@ -447,7 +462,7 @@ network: count: 2.0 - source: path: metro2/pop1 - match: &id008 + match: &id006 conditions: - attr: role op: == @@ -461,7 +476,7 @@ network: logic: or target: path: metro2/dc1 - match: *id008 + match: *id006 pattern: one_to_one capacity: 2400.0 cost: 1 @@ -482,7 +497,7 @@ network: count: 3.0 - source: path: metro2/pop1 - match: &id009 + match: &id007 conditions: - attr: role op: == @@ -493,7 +508,7 @@ network: logic: or target: path: metro3/pop1 - match: *id009 + match: *id007 pattern: one_to_one capacity: 200.0 cost: 1261 @@ -502,9 +517,11 @@ network: source_metro: washington-arlington target_metro: chicago target_capacity: 3200.0 - site_edge: metro2/pop1|metro3/pop1|inter_metro:2-3:1-1 - adjacency_id: inter_metro:2-3 + site_edge: metro2/pop1|metro3/pop1|inter_metro:2-3:path0:1-1 + adjacency_id: inter_metro:2-3:path0 distance_km: 1261 + euclidean_km: 962.0849480451766 + detour_ratio: 1.3098725226374546 hardware: source: component: 800G-ZR+ @@ -512,13 +529,13 @@ network: target: component: 800G-ZR+ count: 1.0 - risk_groups: &id012 + risk_groups: - corridor_risk_chicago_washington-arlington - corridor_risk_columbus_new-york-jersey-city-newark - corridor_risk_columbus_washington-arlington - source: path: metro2/pop1 - match: &id010 + match: &id008 conditions: - attr: role op: == @@ -529,7 +546,7 @@ network: logic: or target: path: metro4/pop1 - match: *id010 + match: *id008 pattern: one_to_one capacity: 200.0 cost: 1216 @@ -538,9 +555,11 @@ network: source_metro: washington-arlington target_metro: atlanta target_capacity: 3200.0 - site_edge: metro2/pop1|metro4/pop1|inter_metro:2-4:1-1 - adjacency_id: inter_metro:2-4 + site_edge: metro2/pop1|metro4/pop1|inter_metro:2-4:path0:1-1 + adjacency_id: inter_metro:2-4:path0 distance_km: 1216 + euclidean_km: 861.267572704122 + detour_ratio: 1.4113975069243747 hardware: source: component: 800G-ZR+ @@ -548,11 +567,11 @@ network: target: component: 800G-ZR+ count: 1.0 - risk_groups: &id013 + risk_groups: - corridor_risk_atlanta_washington-arlington - source: path: metro2/pop1 - match: &id011 + match: &id009 conditions: - attr: role op: == @@ -563,7 +582,7 @@ network: logic: or target: path: metro5/pop1 - match: *id011 + match: *id009 pattern: one_to_one capacity: 800.0 cost: 733 @@ -572,9 +591,11 @@ network: source_metro: washington-arlington target_metro: columbus target_capacity: 12800.0 - site_edge: metro2/pop1|metro5/pop1|inter_metro:2-5:1-1 - adjacency_id: inter_metro:2-5 + site_edge: metro2/pop1|metro5/pop1|inter_metro:2-5:path0:1-1 + adjacency_id: inter_metro:2-5:path0 distance_km: 733 + euclidean_km: 507.67314955219973 + detour_ratio: 1.44331128980949 hardware: source: component: 800G-ZR+ @@ -582,16 +603,16 @@ network: target: component: 800G-ZR+ count: 1.0 - risk_groups: &id014 + risk_groups: - corridor_risk_chicago_washington-arlington - corridor_risk_columbus_new-york-jersey-city-newark - corridor_risk_columbus_washington-arlington - source: path: metro2/pop2 - match: *id008 + match: *id006 target: path: metro2/dc1 - match: *id008 + match: *id006 pattern: one_to_one capacity: 2400.0 cost: 103 @@ -612,10 +633,10 @@ network: count: 3.0 - source: path: metro2/pop2 - match: *id009 + match: *id007 target: path: metro3/pop2 - match: *id009 + match: *id007 pattern: one_to_one capacity: 200.0 cost: 1261 @@ -624,9 +645,11 @@ network: source_metro: washington-arlington target_metro: chicago target_capacity: 3200.0 - site_edge: metro2/pop2|metro3/pop2|inter_metro:2-3:2-2 - adjacency_id: inter_metro:2-3 + site_edge: metro2/pop2|metro3/pop2|inter_metro:2-3:path0:2-2 + adjacency_id: inter_metro:2-3:path0 distance_km: 1261 + euclidean_km: 962.0849480451766 + detour_ratio: 1.3098725226374546 hardware: source: component: 800G-ZR+ @@ -634,13 +657,16 @@ network: target: component: 800G-ZR+ count: 1.0 - risk_groups: *id012 + risk_groups: + - corridor_risk_chicago_washington-arlington + - corridor_risk_columbus_new-york-jersey-city-newark + - corridor_risk_columbus_washington-arlington - source: path: metro2/pop2 - match: *id010 + match: *id008 target: path: metro4/pop2 - match: *id010 + match: *id008 pattern: one_to_one capacity: 200.0 cost: 1216 @@ -649,9 +675,11 @@ network: source_metro: washington-arlington target_metro: atlanta target_capacity: 3200.0 - site_edge: metro2/pop2|metro4/pop2|inter_metro:2-4:2-2 - adjacency_id: inter_metro:2-4 + site_edge: metro2/pop2|metro4/pop2|inter_metro:2-4:path0:2-2 + adjacency_id: inter_metro:2-4:path0 distance_km: 1216 + euclidean_km: 861.267572704122 + detour_ratio: 1.4113975069243747 hardware: source: component: 800G-ZR+ @@ -659,13 +687,14 @@ network: target: component: 800G-ZR+ count: 1.0 - risk_groups: *id013 + risk_groups: + - corridor_risk_atlanta_washington-arlington - source: path: metro2/pop2 - match: *id011 + match: *id009 target: path: metro5/pop2 - match: *id011 + match: *id009 pattern: one_to_one capacity: 800.0 cost: 733 @@ -674,9 +703,11 @@ network: source_metro: washington-arlington target_metro: columbus target_capacity: 12800.0 - site_edge: metro2/pop2|metro5/pop2|inter_metro:2-5:2-2 - adjacency_id: inter_metro:2-5 + site_edge: metro2/pop2|metro5/pop2|inter_metro:2-5:path0:2-2 + adjacency_id: inter_metro:2-5:path0 distance_km: 733 + euclidean_km: 507.67314955219973 + detour_ratio: 1.44331128980949 hardware: source: component: 800G-ZR+ @@ -684,10 +715,13 @@ network: target: component: 800G-ZR+ count: 1.0 - risk_groups: *id014 + risk_groups: + - corridor_risk_chicago_washington-arlington + - corridor_risk_columbus_new-york-jersey-city-newark + - corridor_risk_columbus_washington-arlington - source: path: metro3/pop1 - match: &id015 + match: &id010 conditions: - attr: role op: == @@ -695,9 +729,10 @@ network: - attr: role op: == value: leaf + logic: or target: path: metro3/pop2 - match: *id015 + match: *id010 pattern: one_to_one capacity: 12800.0 cost: 138 @@ -718,7 +753,7 @@ network: count: 16.0 - source: path: metro3/pop1 - match: &id016 + match: &id011 conditions: - attr: role op: == @@ -729,7 +764,7 @@ network: logic: or target: path: metro5/pop1 - match: *id016 + match: *id011 pattern: one_to_one capacity: 200.0 cost: 658 @@ -738,9 +773,11 @@ network: source_metro: chicago target_metro: columbus target_capacity: 3200.0 - site_edge: metro3/pop1|metro5/pop1|inter_metro:3-5:1-1 - adjacency_id: inter_metro:3-5 + site_edge: metro3/pop1|metro5/pop1|inter_metro:3-5:path0:1-1 + adjacency_id: inter_metro:3-5:path0 distance_km: 658 + euclidean_km: 463.6395625132306 + detour_ratio: 1.418606990859309 hardware: source: component: 800G-ZR+ @@ -748,12 +785,12 @@ network: target: component: 800G-ZR+ count: 1.0 - risk_groups: &id018 + risk_groups: - corridor_risk_atlanta_chicago - corridor_risk_chicago_columbus - source: path: metro3/pop1 - match: &id017 + match: &id012 conditions: - attr: role op: == @@ -764,7 +801,7 @@ network: logic: or target: path: metro4/pop1 - match: *id017 + match: *id012 pattern: one_to_one capacity: 3200.0 cost: 1302 @@ -773,9 +810,11 @@ network: source_metro: chicago target_metro: atlanta target_capacity: 3200.0 - site_edge: metro3/pop1|metro4/pop1|inter_metro:3-4:1-1 - adjacency_id: inter_metro:3-4 + site_edge: metro3/pop1|metro4/pop1|inter_metro:3-4:path0:1-1 + adjacency_id: inter_metro:3-4:path0 distance_km: 1302 + euclidean_km: 962.0999146161588 + detour_ratio: 1.3528437249287772 hardware: source: component: 800G-ZR+ @@ -783,16 +822,16 @@ network: target: component: 800G-ZR+ count: 4.0 - risk_groups: &id019 + risk_groups: - corridor_risk_atlanta_chicago - corridor_risk_atlanta_columbus - corridor_risk_chicago_columbus - source: path: metro3/pop2 - match: *id016 + match: *id011 target: path: metro5/pop2 - match: *id016 + match: *id011 pattern: one_to_one capacity: 200.0 cost: 658 @@ -801,9 +840,11 @@ network: source_metro: chicago target_metro: columbus target_capacity: 3200.0 - site_edge: metro3/pop2|metro5/pop2|inter_metro:3-5:2-2 - adjacency_id: inter_metro:3-5 + site_edge: metro3/pop2|metro5/pop2|inter_metro:3-5:path0:2-2 + adjacency_id: inter_metro:3-5:path0 distance_km: 658 + euclidean_km: 463.6395625132306 + detour_ratio: 1.418606990859309 hardware: source: component: 800G-ZR+ @@ -811,13 +852,15 @@ network: target: component: 800G-ZR+ count: 1.0 - risk_groups: *id018 + risk_groups: + - corridor_risk_atlanta_chicago + - corridor_risk_chicago_columbus - source: path: metro3/pop2 - match: *id017 + match: *id012 target: path: metro4/pop2 - match: *id017 + match: *id012 pattern: one_to_one capacity: 3200.0 cost: 1302 @@ -826,9 +869,11 @@ network: source_metro: chicago target_metro: atlanta target_capacity: 3200.0 - site_edge: metro3/pop2|metro4/pop2|inter_metro:3-4:2-2 - adjacency_id: inter_metro:3-4 + site_edge: metro3/pop2|metro4/pop2|inter_metro:3-4:path0:2-2 + adjacency_id: inter_metro:3-4:path0 distance_km: 1302 + euclidean_km: 962.0999146161588 + detour_ratio: 1.3528437249287772 hardware: source: component: 800G-ZR+ @@ -836,10 +881,13 @@ network: target: component: 800G-ZR+ count: 4.0 - risk_groups: *id019 + risk_groups: + - corridor_risk_atlanta_chicago + - corridor_risk_atlanta_columbus + - corridor_risk_chicago_columbus - source: path: metro4/pop1 - match: &id020 + match: &id013 conditions: - attr: role op: == @@ -847,9 +895,10 @@ network: - attr: role op: == value: leaf + logic: or target: path: metro4/pop2 - match: *id020 + match: *id013 pattern: one_to_one capacity: 12800.0 cost: 142 @@ -870,7 +919,7 @@ network: count: 16.0 - source: path: metro4/pop1 - match: &id021 + match: &id014 conditions: - attr: role op: == @@ -881,7 +930,7 @@ network: logic: or target: path: metro5/pop1 - match: *id021 + match: *id014 pattern: one_to_one capacity: 200.0 cost: 1028 @@ -890,9 +939,11 @@ network: source_metro: atlanta target_metro: columbus target_capacity: 3200.0 - site_edge: metro4/pop1|metro5/pop1|inter_metro:4-5:1-1 - adjacency_id: inter_metro:4-5 + site_edge: metro4/pop1|metro5/pop1|inter_metro:4-5:path0:1-1 + adjacency_id: inter_metro:4-5:path0 distance_km: 1028 + euclidean_km: 713.256465952325 + detour_ratio: 1.439960594262943 hardware: source: component: 800G-ZR+ @@ -900,15 +951,15 @@ network: target: component: 800G-ZR+ count: 1.0 - risk_groups: &id022 + risk_groups: - corridor_risk_atlanta_chicago - corridor_risk_atlanta_columbus - source: path: metro4/pop2 - match: *id021 + match: *id014 target: path: metro5/pop2 - match: *id021 + match: *id014 pattern: one_to_one capacity: 200.0 cost: 1028 @@ -917,9 +968,11 @@ network: source_metro: atlanta target_metro: columbus target_capacity: 3200.0 - site_edge: metro4/pop2|metro5/pop2|inter_metro:4-5:2-2 - adjacency_id: inter_metro:4-5 + site_edge: metro4/pop2|metro5/pop2|inter_metro:4-5:path0:2-2 + adjacency_id: inter_metro:4-5:path0 distance_km: 1028 + euclidean_km: 713.256465952325 + detour_ratio: 1.439960594262943 hardware: source: component: 800G-ZR+ @@ -927,10 +980,12 @@ network: target: component: 800G-ZR+ count: 1.0 - risk_groups: *id022 + risk_groups: + - corridor_risk_atlanta_chicago + - corridor_risk_atlanta_columbus - source: path: metro5/pop1 - match: &id023 + match: &id015 conditions: - attr: role op: == @@ -938,9 +993,10 @@ network: - attr: role op: == value: leaf + logic: or target: path: metro5/pop2 - match: *id023 + match: *id015 pattern: one_to_one capacity: 1600.0 cost: 65 @@ -961,7 +1017,7 @@ network: count: 2.0 - source: path: metro5/pop1 - match: &id024 + match: &id016 conditions: - attr: role op: == @@ -975,7 +1031,7 @@ network: logic: or target: path: metro5/dc1 - match: *id024 + match: *id016 pattern: one_to_one capacity: 2400.0 cost: 1 @@ -996,10 +1052,10 @@ network: count: 3.0 - source: path: metro5/pop2 - match: *id024 + match: *id016 target: path: metro5/dc1 - match: *id024 + match: *id016 pattern: one_to_one capacity: 2400.0 cost: 65 diff --git a/tests/data/scenarios/small_clos/small_clos__seed12/small_clos__seed12_scenario.results.json b/tests/data/scenarios/small_clos/small_clos__seed12/small_clos__seed12_scenario.results.json index c03ddca..f012af5 100644 --- a/tests/data/scenarios/small_clos/small_clos__seed12/small_clos__seed12_scenario.results.json +++ b/tests/data/scenarios/small_clos/small_clos__seed12/small_clos__seed12_scenario.results.json @@ -36,7 +36,7 @@ "steps": { "network_statistics": { "metadata": { - "duration_sec": 0.0004620552062988281 + "duration_sec": 0.0003528594970703125 }, "data": { "node_count": 127, @@ -58,7 +58,7 @@ }, "msd_baseline": { "metadata": { - "duration_sec": 0.0037870407104492188 + "duration_sec": 0.0031080245971679688 }, "data": { "alpha_star": 1.6875, @@ -74,7 +74,7 @@ }, "base_demands": [ { - "id": "^metro1/dc1/.*|^metro2/dc1/.*|v1t_IMbBR0GjCQDbCgkQug", + "id": "^metro1/dc1/.*|^metro2/dc1/.*|MQ8g1Ny6Q4Sz1BOfMQdx2A", "source": "^metro1/dc1/.*", "target": "^metro2/dc1/.*", "volume": 15000.0, @@ -88,7 +88,7 @@ } }, { - "id": "^metro2/dc1/.*|^metro1/dc1/.*|pYKiQxnfTC-2Ur9NT5KEpQ", + "id": "^metro2/dc1/.*|^metro1/dc1/.*|e9jYu21oRZmLx146KGd0bw", "source": "^metro2/dc1/.*", "target": "^metro1/dc1/.*", "volume": 15000.0, @@ -102,7 +102,7 @@ } }, { - "id": "^metro2/dc1/.*|^metro5/dc1/.*|G7ngVxXETRiWeoFMzVBqqQ", + "id": "^metro2/dc1/.*|^metro5/dc1/.*|lbvO2ZBCQ_O0rd8LdgOIkQ", "source": "^metro2/dc1/.*", "target": "^metro5/dc1/.*", "volume": 15000.0, @@ -116,7 +116,7 @@ } }, { - "id": "^metro5/dc1/.*|^metro2/dc1/.*|BkACC9YdSqS3Vh-Rgj9Xyg", + "id": "^metro5/dc1/.*|^metro2/dc1/.*|OZ8h-sFrSUSQBWM5tyk9Xg", "source": "^metro5/dc1/.*", "target": "^metro2/dc1/.*", "volume": 15000.0, @@ -130,7 +130,7 @@ } }, { - "id": "^metro1/dc1/.*|^metro5/dc1/.*|umD3I56uT0WWrikWY8UvfA", + "id": "^metro1/dc1/.*|^metro5/dc1/.*|LnNXT_4lRgCvgQwbsGYlOQ", "source": "^metro1/dc1/.*", "target": "^metro5/dc1/.*", "volume": 15000.0, @@ -144,7 +144,7 @@ } }, { - "id": "^metro5/dc1/.*|^metro1/dc1/.*|SVxDb3AYQf6Lgm3zn4Dk6A", + "id": "^metro5/dc1/.*|^metro1/dc1/.*|nmJXDJiVRRq83i1hj0G_pQ", "source": "^metro5/dc1/.*", "target": "^metro1/dc1/.*", "volume": 15000.0, @@ -203,7 +203,7 @@ "parallelism": 7, "analysis_function": "demand_placement_analysis", "policy_name": "mc_baseline", - "execution_time": 0.27034687995910645, + "execution_time": 0.39347314834594727, "unique_patterns": 569, "occurrence_counts": [ 1, @@ -776,7 +776,7 @@ 1, 1 ], - "duration_sec": 0.29893994331359863 + "duration_sec": 0.4235048294067383 }, "data": { "baseline": { @@ -882,10 +882,10 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ + "metro5/pop2/leaf/leaf10|metro5/pop2/spine/spine4|0", "metro1/pop1/leaf/leaf12|metro1/pop1/spine/spine3|0", "metro2/pop2/leaf/leaf3|metro2/pop2/spine/spine4|0", - "metro1/pop1/leaf/leaf15|metro1/pop1/spine/spine1|0", - "metro5/pop2/leaf/leaf10|metro5/pop2/spine/spine4|0" + "metro1/pop1/leaf/leaf15|metro1/pop1/spine/spine1|0" ] }, "failure_trace": null, @@ -984,8 +984,8 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro2/pop1/leaf/leaf13|metro2/pop1/spine/spine1|0", "metro5/pop2/leaf/leaf9|metro5/pop2/spine/spine1|0", + "metro2/pop1/leaf/leaf13|metro2/pop1/spine/spine1|0", "metro2/pop1/leaf/leaf15|metro2/pop1/spine/spine4|0", "metro5/pop2/leaf/leaf11|metro5/pop2/spine/spine3|0" ] @@ -1189,10 +1189,10 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro5/pop1/leaf/leaf9|metro5/pop1/spine/spine4|0", "metro2/pop2/leaf/leaf10|metro2/pop2/spine/spine1|0", + "metro1/pop1/leaf/leaf8|metro1/pop1/spine/spine1|0", "metro5/pop1/leaf/leaf9|metro5/pop1/spine/spine1|0", - "metro1/pop1/leaf/leaf8|metro1/pop1/spine/spine1|0" + "metro5/pop1/leaf/leaf9|metro5/pop1/spine/spine4|0" ] }, "failure_trace": null, @@ -1394,9 +1394,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro1/pop1/leaf/leaf15|metro1/dc1/dc/dc|0", + "metro1/pop2/leaf/leaf1|metro1/dc1/dc/dc|0", "metro5/pop2/leaf/leaf5|metro5/dc1/dc/dc|0", - "metro1/pop2/leaf/leaf1|metro1/dc1/dc/dc|0" + "metro1/pop1/leaf/leaf15|metro1/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -1510,10 +1510,10 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro1/pop1/leaf/leaf1|metro1/pop1/spine/spine3|0", "metro5/pop1/leaf/leaf13|metro5/pop1/spine/spine1|0", - "metro2/pop2/leaf/leaf7|metro2/pop2/spine/spine2|0", - "metro5/pop2/leaf/leaf11|metro5/pop2/spine/spine1|0" + "metro1/pop1/leaf/leaf1|metro1/pop1/spine/spine3|0", + "metro5/pop2/leaf/leaf11|metro5/pop2/spine/spine1|0", + "metro2/pop2/leaf/leaf7|metro2/pop2/spine/spine2|0" ] }, "failure_trace": null, @@ -1715,40 +1715,40 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro3/pop2/core/core|metro5/pop2/leaf/leaf9|0", + "metro3/pop2/core/core|metro5/pop2/leaf/leaf4|0", "metro3/pop1/core/core|metro5/pop1/leaf/leaf8|0", - "metro3/pop2/core/core|metro5/pop2/leaf/leaf13|0", - "metro3/pop1/core/core|metro5/pop1/leaf/leaf12|0", - "metro3/pop1/core/core|metro5/pop1/leaf/leaf14|0", - "metro3/pop1/core/core|metro5/pop1/leaf/leaf7|0", - "metro3/pop1/core/core|metro4/pop1/core/core|0", "metro3/pop1/core/core|metro5/pop1/leaf/leaf9|0", - "metro3/pop2/core/core|metro5/pop2/leaf/leaf5|0", - "metro3/pop1/core/core|metro5/pop1/leaf/leaf3|0", + "metro3/pop2/core/core|metro4/pop2/core/core|0", "metro3/pop1/core/core|metro5/pop1/leaf/leaf16|0", "metro3/pop1/core/core|metro5/pop1/leaf/leaf10|0", - "metro3/pop2/core/core|metro5/pop2/leaf/leaf3|0", - "metro3/pop2/core/core|metro5/pop2/leaf/leaf7|0", - "metro3/pop2/core/core|metro5/pop2/leaf/leaf15|0", + "metro3/pop2/core/core|metro5/pop2/leaf/leaf1|0", "metro3/pop2/core/core|metro5/pop2/leaf/leaf11|0", + "metro3/pop2/core/core|metro5/pop2/leaf/leaf14|0", + "metro3/pop2/core/core|metro5/pop2/leaf/leaf9|0", + "metro3/pop1/core/core|metro5/pop1/leaf/leaf1|0", + "metro3/pop1/core/core|metro5/pop1/leaf/leaf4|0", + "metro3/pop1/core/core|metro5/pop1/leaf/leaf13|0", "metro3/pop2/core/core|metro5/pop2/leaf/leaf8|0", - "metro3/pop2/core/core|metro5/pop2/leaf/leaf12|0", - "metro3/pop2/core/core|metro5/pop2/leaf/leaf6|0", - "metro3/pop2/core/core|metro5/pop2/leaf/leaf2|0", + "metro3/pop1/core/core|metro5/pop1/leaf/leaf7|0", + "metro3/pop1/core/core|metro5/pop1/leaf/leaf5|0", + "metro3/pop1/core/core|metro5/pop1/leaf/leaf15|0", + "metro3/pop1/core/core|metro4/pop1/core/core|0", + "metro3/pop1/core/core|metro5/pop1/leaf/leaf14|0", + "metro3/pop2/core/core|metro5/pop2/leaf/leaf3|0", + "metro3/pop2/core/core|metro5/pop2/leaf/leaf7|0", "metro3/pop2/core/core|metro5/pop2/leaf/leaf10|0", - "metro3/pop1/core/core|metro5/pop1/leaf/leaf13|0", - "metro3/pop2/core/core|metro5/pop2/leaf/leaf1|0", + "metro3/pop2/core/core|metro5/pop2/leaf/leaf16|0", + "metro3/pop1/core/core|metro5/pop1/leaf/leaf12|0", "metro3/pop1/core/core|metro5/pop1/leaf/leaf6|0", - "metro3/pop2/core/core|metro4/pop2/core/core|0", - "metro3/pop1/core/core|metro5/pop1/leaf/leaf15|0", - "metro3/pop1/core/core|metro5/pop1/leaf/leaf1|0", - "metro3/pop2/core/core|metro5/pop2/leaf/leaf14|0", - "metro3/pop1/core/core|metro5/pop1/leaf/leaf5|0", - "metro3/pop1/core/core|metro5/pop1/leaf/leaf2|0", + "metro3/pop2/core/core|metro5/pop2/leaf/leaf6|0", + "metro3/pop2/core/core|metro5/pop2/leaf/leaf15|0", + "metro3/pop2/core/core|metro5/pop2/leaf/leaf2|0", "metro3/pop1/core/core|metro5/pop1/leaf/leaf11|0", - "metro3/pop2/core/core|metro5/pop2/leaf/leaf16|0", - "metro3/pop1/core/core|metro5/pop1/leaf/leaf4|0", - "metro3/pop2/core/core|metro5/pop2/leaf/leaf4|0" + "metro3/pop1/core/core|metro5/pop1/leaf/leaf3|0", + "metro3/pop2/core/core|metro5/pop2/leaf/leaf12|0", + "metro3/pop1/core/core|metro5/pop1/leaf/leaf2|0", + "metro3/pop2/core/core|metro5/pop2/leaf/leaf13|0", + "metro3/pop2/core/core|metro5/pop2/leaf/leaf5|0" ] }, "failure_trace": null, @@ -1847,10 +1847,10 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ + "metro1/pop1/leaf/leaf13|metro1/pop1/spine/spine1|0", "metro2/pop2/leaf/leaf14|metro2/pop2/spine/spine4|0", - "metro2/pop1/leaf/leaf5|metro2/pop1/spine/spine2|0", "metro2/pop2/leaf/leaf12|metro2/pop2/spine/spine4|0", - "metro1/pop1/leaf/leaf13|metro1/pop1/spine/spine1|0" + "metro2/pop1/leaf/leaf5|metro2/pop1/spine/spine2|0" ] }, "failure_trace": null, @@ -1949,40 +1949,40 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro4/pop2/core/core|metro5/pop2/leaf/leaf14|0", "metro4/pop1/core/core|metro5/pop1/leaf/leaf14|0", - "metro4/pop1/core/core|metro5/pop1/leaf/leaf8|0", - "metro4/pop2/core/core|metro5/pop2/leaf/leaf11|0", - "metro3/pop1/core/core|metro4/pop1/core/core|0", - "metro4/pop2/core/core|metro5/pop2/leaf/leaf5|0", - "metro4/pop2/core/core|metro5/pop2/leaf/leaf4|0", "metro4/pop2/core/core|metro5/pop2/leaf/leaf12|0", - "metro4/pop1/core/core|metro5/pop1/leaf/leaf7|0", - "metro4/pop1/core/core|metro5/pop1/leaf/leaf1|0", - "metro4/pop1/core/core|metro5/pop1/leaf/leaf12|0", - "metro4/pop1/core/core|metro5/pop1/leaf/leaf9|0", - "metro4/pop2/core/core|metro5/pop2/leaf/leaf2|0", - "metro4/pop2/core/core|metro5/pop2/leaf/leaf16|0", - "metro4/pop1/core/core|metro5/pop1/leaf/leaf13|0", - "metro4/pop2/core/core|metro5/pop2/leaf/leaf8|0", - "metro4/pop2/core/core|metro5/pop2/leaf/leaf3|0", - "metro4/pop2/core/core|metro5/pop2/leaf/leaf7|0", "metro4/pop1/core/core|metro5/pop1/leaf/leaf5|0", - "metro4/pop1/core/core|metro5/pop1/leaf/leaf6|0", - "metro4/pop1/core/core|metro5/pop1/leaf/leaf10|0", "metro4/pop2/core/core|metro5/pop2/leaf/leaf6|0", + "metro4/pop2/core/core|metro5/pop2/leaf/leaf10|0", "metro3/pop2/core/core|metro4/pop2/core/core|0", + "metro4/pop2/core/core|metro5/pop2/leaf/leaf8|0", + "metro4/pop1/core/core|metro5/pop1/leaf/leaf7|0", + "metro4/pop1/core/core|metro5/pop1/leaf/leaf16|0", "metro4/pop1/core/core|metro5/pop1/leaf/leaf3|0", + "metro4/pop1/core/core|metro5/pop1/leaf/leaf9|0", + "metro4/pop1/core/core|metro5/pop1/leaf/leaf13|0", + "metro4/pop1/core/core|metro5/pop1/leaf/leaf1|0", + "metro4/pop2/core/core|metro5/pop2/leaf/leaf13|0", + "metro4/pop2/core/core|metro5/pop2/leaf/leaf14|0", + "metro3/pop1/core/core|metro4/pop1/core/core|0", "metro4/pop1/core/core|metro5/pop1/leaf/leaf4|0", - "metro4/pop2/core/core|metro5/pop2/leaf/leaf10|0", - "metro4/pop2/core/core|metro5/pop2/leaf/leaf1|0", - "metro4/pop1/core/core|metro5/pop1/leaf/leaf2|0", - "metro4/pop1/core/core|metro5/pop1/leaf/leaf11|0", - "metro4/pop1/core/core|metro5/pop1/leaf/leaf16|0", + "metro4/pop2/core/core|metro5/pop2/leaf/leaf3|0", + "metro4/pop1/core/core|metro5/pop1/leaf/leaf8|0", + "metro4/pop2/core/core|metro5/pop2/leaf/leaf5|0", "metro4/pop2/core/core|metro5/pop2/leaf/leaf9|0", - "metro4/pop2/core/core|metro5/pop2/leaf/leaf13|0", + "metro4/pop2/core/core|metro5/pop2/leaf/leaf7|0", + "metro4/pop2/core/core|metro5/pop2/leaf/leaf2|0", + "metro4/pop2/core/core|metro5/pop2/leaf/leaf4|0", + "metro4/pop1/core/core|metro5/pop1/leaf/leaf12|0", "metro4/pop1/core/core|metro5/pop1/leaf/leaf15|0", - "metro4/pop2/core/core|metro5/pop2/leaf/leaf15|0" + "metro4/pop2/core/core|metro5/pop2/leaf/leaf11|0", + "metro4/pop1/core/core|metro5/pop1/leaf/leaf2|0", + "metro4/pop1/core/core|metro5/pop1/leaf/leaf11|0", + "metro4/pop2/core/core|metro5/pop2/leaf/leaf15|0", + "metro4/pop2/core/core|metro5/pop2/leaf/leaf1|0", + "metro4/pop2/core/core|metro5/pop2/leaf/leaf16|0", + "metro4/pop1/core/core|metro5/pop1/leaf/leaf10|0", + "metro4/pop1/core/core|metro5/pop1/leaf/leaf6|0" ] }, "failure_trace": null, @@ -2081,8 +2081,8 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro2/pop1/leaf/leaf14|metro2/dc1/dc/dc|0", "metro5/pop2/leaf/leaf11|metro5/dc1/dc/dc|0", + "metro2/pop1/leaf/leaf14|metro2/dc1/dc/dc|0", "metro2/pop2/leaf/leaf15|metro2/dc1/dc/dc|0" ] }, @@ -2195,8 +2195,8 @@ "excluded_nodes": [], "excluded_links": [ "metro2/pop2/leaf/leaf13|metro2/dc1/dc/dc|0", - "metro1/pop2/leaf/leaf16|metro1/dc1/dc/dc|0", - "metro5/pop2/leaf/leaf8|metro5/dc1/dc/dc|0" + "metro5/pop2/leaf/leaf8|metro5/dc1/dc/dc|0", + "metro1/pop2/leaf/leaf16|metro1/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -2305,9 +2305,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ + "metro5/pop2/leaf/leaf15|metro5/dc1/dc/dc|0", "metro1/pop1/leaf/leaf16|metro1/dc1/dc/dc|0", - "metro5/pop1/leaf/leaf13|metro5/dc1/dc/dc|0", - "metro5/pop2/leaf/leaf15|metro5/dc1/dc/dc|0" + "metro5/pop1/leaf/leaf13|metro5/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -2418,134 +2418,134 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro1/pop1/leaf/leaf14|metro5/pop1/leaf/leaf14|0", - "metro1/pop2/leaf/leaf12|metro2/pop2/leaf/leaf12|0", - "metro1/pop1/leaf/leaf10|metro2/pop1/leaf/leaf10|0", - "metro1/pop1/leaf/leaf7|metro5/pop1/leaf/leaf7|0", - "metro1/pop2/leaf/leaf2|metro2/pop2/leaf/leaf2|0", - "metro1/pop2/leaf/leaf8|metro2/pop2/leaf/leaf8|0", - "metro1/pop2/leaf/leaf3|metro5/pop2/leaf/leaf3|0", - "metro1/pop2/leaf/leaf16|metro5/pop2/leaf/leaf16|0", - "metro1/pop1/leaf/leaf8|metro2/pop1/leaf/leaf8|0", - "metro1/pop1/leaf/leaf5|metro2/pop1/leaf/leaf5|0", - "metro1/pop2/leaf/leaf14|metro5/pop2/leaf/leaf14|0", - "metro2/pop2/leaf/leaf5|metro5/pop2/leaf/leaf5|0", - "metro1/pop2/leaf/leaf2|metro5/pop2/leaf/leaf2|0", + "metro2/pop2/leaf/leaf2|metro5/pop2/leaf/leaf2|0", "metro1/pop1/leaf/leaf13|metro5/pop1/leaf/leaf13|0", - "metro1/pop1/leaf/leaf2|metro5/pop1/leaf/leaf2|0", - "metro1/pop1/leaf/leaf14|metro2/pop1/leaf/leaf14|0", - "metro2/pop2/leaf/leaf10|metro3/pop2/core/core|0", - "metro2/pop2/leaf/leaf12|metro3/pop2/core/core|0", - "metro2/pop1/leaf/leaf16|metro3/pop1/core/core|0", - "metro1/pop1/leaf/leaf7|metro2/pop1/leaf/leaf7|0", - "metro1/pop2/leaf/leaf10|metro5/pop2/leaf/leaf10|0", - "metro2/pop2/leaf/leaf9|metro5/pop2/leaf/leaf9|0", "metro2/pop2/leaf/leaf7|metro5/pop2/leaf/leaf7|0", - "metro2/pop1/leaf/leaf7|metro3/pop1/core/core|0", - "metro2/pop1/leaf/leaf11|metro5/pop1/leaf/leaf11|0", - "metro1/pop1/leaf/leaf12|metro2/pop1/leaf/leaf12|0", - "metro1/pop1/leaf/leaf12|metro5/pop1/leaf/leaf12|0", - "metro2/pop2/leaf/leaf16|metro3/pop2/core/core|0", - "metro2/pop1/leaf/leaf3|metro3/pop1/core/core|0", - "metro2/pop1/leaf/leaf4|metro3/pop1/core/core|0", - "metro1/pop2/leaf/leaf11|metro5/pop2/leaf/leaf11|0", + "metro1/pop2/leaf/leaf5|metro2/pop2/leaf/leaf5|0", + "metro1/pop2/leaf/leaf12|metro5/pop2/leaf/leaf12|0", + "metro1/pop1/leaf/leaf11|metro2/pop1/leaf/leaf11|0", "metro1/pop1/leaf/leaf1|metro5/pop1/leaf/leaf1|0", - "metro2/pop2/leaf/leaf6|metro3/pop2/core/core|0", - "metro1/pop1/leaf/leaf4|metro2/pop1/leaf/leaf4|0", - "metro1/pop1/leaf/leaf2|metro2/pop1/leaf/leaf2|0", + "metro1/pop1/leaf/leaf1|metro2/pop1/leaf/leaf1|0", "metro2/pop2/leaf/leaf2|metro3/pop2/core/core|0", - "metro1/pop1/leaf/leaf15|metro2/pop1/leaf/leaf15|0", - "metro1/pop2/leaf/leaf13|metro5/pop2/leaf/leaf13|0", - "metro1/pop2/leaf/leaf12|metro5/pop2/leaf/leaf12|0", - "metro2/pop1/leaf/leaf3|metro5/pop1/leaf/leaf3|0", - "metro2/pop2/leaf/leaf1|metro3/pop2/core/core|0", - "metro2/pop2/leaf/leaf13|metro5/pop2/leaf/leaf13|0", - "metro1/pop1/leaf/leaf10|metro5/pop1/leaf/leaf10|0", - "metro1/pop2/leaf/leaf7|metro5/pop2/leaf/leaf7|0", - "metro2/pop1/leaf/leaf13|metro5/pop1/leaf/leaf13|0", - "metro2/pop2/leaf/leaf12|metro5/pop2/leaf/leaf12|0", - "metro2/pop1/leaf/leaf6|metro3/pop1/core/core|0", - "metro1/pop2/leaf/leaf11|metro2/pop2/leaf/leaf11|0", + "metro1/pop2/leaf/leaf15|metro2/pop2/leaf/leaf15|0", + "metro2/pop2/leaf/leaf4|metro5/pop2/leaf/leaf4|0", + "metro2/pop1/leaf/leaf11|metro3/pop1/core/core|0", + "metro2/pop2/leaf/leaf6|metro3/pop2/core/core|0", + "metro2/pop2/leaf/leaf9|metro5/pop2/leaf/leaf9|0", "metro1/pop2/leaf/leaf5|metro5/pop2/leaf/leaf5|0", - "metro1/pop2/leaf/leaf6|metro2/pop2/leaf/leaf6|0", - "metro1/pop2/leaf/leaf16|metro2/pop2/leaf/leaf16|0", - "metro2/pop1/leaf/leaf4|metro5/pop1/leaf/leaf4|0", "metro2/pop1/leaf/leaf7|metro5/pop1/leaf/leaf7|0", - "metro1/pop2/leaf/leaf1|metro2/pop2/leaf/leaf1|0", - "metro1/pop2/leaf/leaf15|metro5/pop2/leaf/leaf15|0", - "metro2/pop2/leaf/leaf4|metro3/pop2/core/core|0", - "metro2/pop2/leaf/leaf13|metro3/pop2/core/core|0", - "metro1/pop2/leaf/leaf9|metro5/pop2/leaf/leaf9|0", - "metro2/pop1/leaf/leaf9|metro3/pop1/core/core|0", - "metro2/pop1/leaf/leaf5|metro5/pop1/leaf/leaf5|0", - "metro2/pop2/leaf/leaf3|metro5/pop2/leaf/leaf3|0", + "metro1/pop2/leaf/leaf11|metro5/pop2/leaf/leaf11|0", "metro1/pop1/leaf/leaf8|metro5/pop1/leaf/leaf8|0", - "metro2/pop1/leaf/leaf14|metro5/pop1/leaf/leaf14|0", - "metro1/pop1/leaf/leaf3|metro5/pop1/leaf/leaf3|0", + "metro1/pop2/leaf/leaf11|metro2/pop2/leaf/leaf11|0", + "metro2/pop1/leaf/leaf5|metro3/pop1/core/core|0", + "metro2/pop2/leaf/leaf11|metro3/pop2/core/core|0", + "metro2/pop1/leaf/leaf14|metro3/pop1/core/core|0", + "metro2/pop2/leaf/leaf8|metro5/pop2/leaf/leaf8|0", "metro1/pop2/leaf/leaf13|metro2/pop2/leaf/leaf13|0", - "metro1/pop2/leaf/leaf5|metro2/pop2/leaf/leaf5|0", - "metro1/pop2/leaf/leaf9|metro2/pop2/leaf/leaf9|0", - "metro2/pop1/leaf/leaf2|metro5/pop1/leaf/leaf2|0", - "metro2/pop2/leaf/leaf10|metro5/pop2/leaf/leaf10|0", - "metro1/pop1/leaf/leaf6|metro2/pop1/leaf/leaf6|0", - "metro1/pop1/leaf/leaf3|metro2/pop1/leaf/leaf3|0", - "metro1/pop1/leaf/leaf1|metro2/pop1/leaf/leaf1|0", - "metro2/pop1/leaf/leaf6|metro5/pop1/leaf/leaf6|0", - "metro2/pop2/leaf/leaf8|metro3/pop2/core/core|0", - "metro2/pop2/leaf/leaf15|metro3/pop2/core/core|0", - "metro2/pop2/leaf/leaf14|metro5/pop2/leaf/leaf14|0", - "metro2/pop2/leaf/leaf9|metro3/pop2/core/core|0", - "metro2/pop2/leaf/leaf15|metro5/pop2/leaf/leaf15|0", - "metro1/pop1/leaf/leaf13|metro2/pop1/leaf/leaf13|0", - "metro2/pop1/leaf/leaf2|metro3/pop1/core/core|0", - "metro1/pop1/leaf/leaf9|metro5/pop1/leaf/leaf9|0", - "metro2/pop1/leaf/leaf10|metro3/pop1/core/core|0", - "metro1/pop1/leaf/leaf6|metro5/pop1/leaf/leaf6|0", - "metro2/pop1/leaf/leaf15|metro5/pop1/leaf/leaf15|0", - "metro1/pop1/leaf/leaf9|metro2/pop1/leaf/leaf9|0", - "metro1/pop2/leaf/leaf4|metro2/pop2/leaf/leaf4|0", - "metro2/pop1/leaf/leaf1|metro3/pop1/core/core|0", - "metro1/pop1/leaf/leaf11|metro2/pop1/leaf/leaf11|0", - "metro1/pop2/leaf/leaf3|metro2/pop2/leaf/leaf3|0", - "metro2/pop1/leaf/leaf8|metro5/pop1/leaf/leaf8|0", - "metro2/pop2/leaf/leaf4|metro5/pop2/leaf/leaf4|0", - "metro1/pop2/leaf/leaf15|metro2/pop2/leaf/leaf15|0", "metro2/pop1/leaf/leaf8|metro3/pop1/core/core|0", + "metro2/pop2/leaf/leaf16|metro5/pop2/leaf/leaf16|0", "metro2/pop2/leaf/leaf7|metro3/pop2/core/core|0", - "metro2/pop1/leaf/leaf14|metro3/pop1/core/core|0", - "metro1/pop2/leaf/leaf8|metro5/pop2/leaf/leaf8|0", - "metro2/pop2/leaf/leaf2|metro5/pop2/leaf/leaf2|0", + "metro1/pop1/leaf/leaf12|metro5/pop1/leaf/leaf12|0", + "metro1/pop2/leaf/leaf2|metro5/pop2/leaf/leaf2|0", "metro1/pop2/leaf/leaf6|metro5/pop2/leaf/leaf6|0", - "metro2/pop2/leaf/leaf1|metro5/pop2/leaf/leaf1|0", - "metro2/pop1/leaf/leaf13|metro3/pop1/core/core|0", - "metro2/pop1/leaf/leaf16|metro5/pop1/leaf/leaf16|0", - "metro2/pop1/leaf/leaf12|metro5/pop1/leaf/leaf12|0", + "metro2/pop2/leaf/leaf13|metro5/pop2/leaf/leaf13|0", + "metro1/pop1/leaf/leaf15|metro2/pop1/leaf/leaf15|0", + "metro2/pop2/leaf/leaf3|metro3/pop2/core/core|0", + "metro2/pop1/leaf/leaf9|metro3/pop1/core/core|0", + "metro2/pop1/leaf/leaf3|metro5/pop1/leaf/leaf3|0", + "metro1/pop2/leaf/leaf7|metro2/pop2/leaf/leaf7|0", "metro2/pop2/leaf/leaf5|metro3/pop2/core/core|0", - "metro1/pop2/leaf/leaf1|metro5/pop2/leaf/leaf1|0", + "metro1/pop2/leaf/leaf6|metro2/pop2/leaf/leaf6|0", + "metro2/pop1/leaf/leaf12|metro3/pop1/core/core|0", + "metro1/pop2/leaf/leaf13|metro5/pop2/leaf/leaf13|0", + "metro1/pop1/leaf/leaf2|metro5/pop1/leaf/leaf2|0", + "metro2/pop1/leaf/leaf15|metro5/pop1/leaf/leaf15|0", + "metro1/pop1/leaf/leaf4|metro5/pop1/leaf/leaf4|0", + "metro1/pop2/leaf/leaf1|metro2/pop2/leaf/leaf1|0", + "metro1/pop2/leaf/leaf10|metro5/pop2/leaf/leaf10|0", + "metro1/pop2/leaf/leaf16|metro2/pop2/leaf/leaf16|0", "metro2/pop1/leaf/leaf1|metro5/pop1/leaf/leaf1|0", - "metro1/pop1/leaf/leaf11|metro5/pop1/leaf/leaf11|0", - "metro2/pop1/leaf/leaf15|metro3/pop1/core/core|0", - "metro2/pop2/leaf/leaf11|metro3/pop2/core/core|0", + "metro2/pop2/leaf/leaf12|metro5/pop2/leaf/leaf12|0", + "metro2/pop2/leaf/leaf15|metro3/pop2/core/core|0", + "metro1/pop1/leaf/leaf14|metro5/pop1/leaf/leaf14|0", + "metro2/pop1/leaf/leaf11|metro5/pop1/leaf/leaf11|0", + "metro2/pop1/leaf/leaf14|metro5/pop1/leaf/leaf14|0", + "metro2/pop1/leaf/leaf5|metro5/pop1/leaf/leaf5|0", + "metro1/pop1/leaf/leaf9|metro2/pop1/leaf/leaf9|0", + "metro2/pop1/leaf/leaf10|metro3/pop1/core/core|0", + "metro1/pop2/leaf/leaf10|metro2/pop2/leaf/leaf10|0", + "metro1/pop1/leaf/leaf10|metro2/pop1/leaf/leaf10|0", + "metro1/pop1/leaf/leaf12|metro2/pop1/leaf/leaf12|0", + "metro1/pop2/leaf/leaf14|metro5/pop2/leaf/leaf14|0", + "metro2/pop2/leaf/leaf8|metro3/pop2/core/core|0", "metro1/pop1/leaf/leaf5|metro5/pop1/leaf/leaf5|0", + "metro2/pop1/leaf/leaf16|metro5/pop1/leaf/leaf16|0", + "metro2/pop2/leaf/leaf10|metro3/pop2/core/core|0", + "metro1/pop1/leaf/leaf11|metro5/pop1/leaf/leaf11|0", + "metro2/pop1/leaf/leaf16|metro3/pop1/core/core|0", + "metro2/pop1/leaf/leaf12|metro5/pop1/leaf/leaf12|0", + "metro1/pop1/leaf/leaf5|metro2/pop1/leaf/leaf5|0", + "metro2/pop1/leaf/leaf2|metro3/pop1/core/core|0", + "metro1/pop1/leaf/leaf3|metro2/pop1/leaf/leaf3|0", + "metro1/pop2/leaf/leaf15|metro5/pop2/leaf/leaf15|0", + "metro1/pop2/leaf/leaf8|metro2/pop2/leaf/leaf8|0", + "metro1/pop1/leaf/leaf6|metro5/pop1/leaf/leaf6|0", + "metro2/pop1/leaf/leaf1|metro3/pop1/core/core|0", + "metro1/pop1/leaf/leaf3|metro5/pop1/leaf/leaf3|0", + "metro1/pop2/leaf/leaf16|metro5/pop2/leaf/leaf16|0", + "metro2/pop2/leaf/leaf10|metro5/pop2/leaf/leaf10|0", + "metro1/pop1/leaf/leaf7|metro2/pop1/leaf/leaf7|0", + "metro1/pop2/leaf/leaf8|metro5/pop2/leaf/leaf8|0", + "metro2/pop2/leaf/leaf12|metro3/pop2/core/core|0", "metro1/pop1/leaf/leaf15|metro5/pop1/leaf/leaf15|0", - "metro1/pop1/leaf/leaf16|metro2/pop1/leaf/leaf16|0", - "metro2/pop1/leaf/leaf12|metro3/pop1/core/core|0", - "metro2/pop2/leaf/leaf16|metro5/pop2/leaf/leaf16|0", - "metro2/pop2/leaf/leaf14|metro3/pop2/core/core|0", - "metro1/pop2/leaf/leaf10|metro2/pop2/leaf/leaf10|0", + "metro2/pop1/leaf/leaf3|metro3/pop1/core/core|0", + "metro1/pop1/leaf/leaf4|metro2/pop1/leaf/leaf4|0", "metro1/pop2/leaf/leaf14|metro2/pop2/leaf/leaf14|0", - "metro2/pop1/leaf/leaf11|metro3/pop1/core/core|0", - "metro2/pop2/leaf/leaf8|metro5/pop2/leaf/leaf8|0", + "metro2/pop1/leaf/leaf2|metro5/pop1/leaf/leaf2|0", + "metro2/pop1/leaf/leaf6|metro3/pop1/core/core|0", + "metro1/pop1/leaf/leaf16|metro5/pop1/leaf/leaf16|0", "metro2/pop1/leaf/leaf10|metro5/pop1/leaf/leaf10|0", + "metro1/pop1/leaf/leaf16|metro2/pop1/leaf/leaf16|0", + "metro1/pop2/leaf/leaf4|metro5/pop2/leaf/leaf4|0", + "metro2/pop1/leaf/leaf8|metro5/pop1/leaf/leaf8|0", + "metro1/pop2/leaf/leaf1|metro5/pop2/leaf/leaf1|0", + "metro1/pop2/leaf/leaf2|metro2/pop2/leaf/leaf2|0", + "metro1/pop2/leaf/leaf4|metro2/pop2/leaf/leaf4|0", + "metro2/pop1/leaf/leaf6|metro5/pop1/leaf/leaf6|0", + "metro1/pop1/leaf/leaf2|metro2/pop1/leaf/leaf2|0", + "metro2/pop2/leaf/leaf15|metro5/pop2/leaf/leaf15|0", + "metro1/pop2/leaf/leaf3|metro2/pop2/leaf/leaf3|0", "metro2/pop2/leaf/leaf11|metro5/pop2/leaf/leaf11|0", + "metro1/pop1/leaf/leaf10|metro5/pop1/leaf/leaf10|0", + "metro1/pop1/leaf/leaf7|metro5/pop1/leaf/leaf7|0", + "metro2/pop1/leaf/leaf4|metro3/pop1/core/core|0", + "metro2/pop2/leaf/leaf9|metro3/pop2/core/core|0", + "metro1/pop2/leaf/leaf9|metro5/pop2/leaf/leaf9|0", + "metro2/pop2/leaf/leaf1|metro5/pop2/leaf/leaf1|0", + "metro2/pop2/leaf/leaf5|metro5/pop2/leaf/leaf5|0", + "metro2/pop1/leaf/leaf13|metro3/pop1/core/core|0", + "metro1/pop1/leaf/leaf14|metro2/pop1/leaf/leaf14|0", + "metro1/pop1/leaf/leaf9|metro5/pop1/leaf/leaf9|0", "metro2/pop1/leaf/leaf9|metro5/pop1/leaf/leaf9|0", "metro2/pop2/leaf/leaf6|metro5/pop2/leaf/leaf6|0", - "metro2/pop1/leaf/leaf5|metro3/pop1/core/core|0", - "metro1/pop2/leaf/leaf4|metro5/pop2/leaf/leaf4|0", - "metro2/pop2/leaf/leaf3|metro3/pop2/core/core|0", - "metro1/pop1/leaf/leaf16|metro5/pop1/leaf/leaf16|0", - "metro1/pop1/leaf/leaf4|metro5/pop1/leaf/leaf4|0", - "metro1/pop2/leaf/leaf7|metro2/pop2/leaf/leaf7|0" + "metro2/pop1/leaf/leaf13|metro5/pop1/leaf/leaf13|0", + "metro2/pop2/leaf/leaf14|metro3/pop2/core/core|0", + "metro1/pop2/leaf/leaf9|metro2/pop2/leaf/leaf9|0", + "metro2/pop2/leaf/leaf16|metro3/pop2/core/core|0", + "metro1/pop1/leaf/leaf6|metro2/pop1/leaf/leaf6|0", + "metro2/pop1/leaf/leaf4|metro5/pop1/leaf/leaf4|0", + "metro1/pop2/leaf/leaf7|metro5/pop2/leaf/leaf7|0", + "metro1/pop1/leaf/leaf13|metro2/pop1/leaf/leaf13|0", + "metro2/pop1/leaf/leaf7|metro3/pop1/core/core|0", + "metro2/pop1/leaf/leaf15|metro3/pop1/core/core|0", + "metro2/pop2/leaf/leaf4|metro3/pop2/core/core|0", + "metro2/pop2/leaf/leaf1|metro3/pop2/core/core|0", + "metro2/pop2/leaf/leaf13|metro3/pop2/core/core|0", + "metro2/pop2/leaf/leaf14|metro5/pop2/leaf/leaf14|0", + "metro2/pop2/leaf/leaf3|metro5/pop2/leaf/leaf3|0", + "metro1/pop2/leaf/leaf3|metro5/pop2/leaf/leaf3|0", + "metro1/pop1/leaf/leaf8|metro2/pop1/leaf/leaf8|0", + "metro1/pop2/leaf/leaf12|metro2/pop2/leaf/leaf12|0" ] }, "failure_trace": null, @@ -2632,8 +2632,8 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro5/pop2/leaf/leaf5|metro5/dc1/dc/dc|0", "metro5/pop2/leaf/leaf13|metro5/dc1/dc/dc|0", + "metro5/pop2/leaf/leaf5|metro5/dc1/dc/dc|0", "metro2/pop1/leaf/leaf5|metro2/dc1/dc/dc|0" ] }, @@ -2743,9 +2743,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ + "metro1/pop1/leaf/leaf4|metro1/dc1/dc/dc|0", "metro1/pop2/leaf/leaf12|metro1/dc1/dc/dc|0", - "metro2/pop2/leaf/leaf10|metro2/dc1/dc/dc|0", - "metro1/pop1/leaf/leaf4|metro1/dc1/dc/dc|0" + "metro2/pop2/leaf/leaf10|metro2/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -3061,9 +3061,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro1/pop2/leaf/leaf11|metro1/dc1/dc/dc|0", "metro2/pop1/leaf/leaf7|metro2/dc1/dc/dc|0", - "metro2/pop1/leaf/leaf11|metro2/dc1/dc/dc|0" + "metro2/pop1/leaf/leaf11|metro2/dc1/dc/dc|0", + "metro1/pop2/leaf/leaf11|metro1/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -3275,102 +3275,102 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro2/pop2/leaf/leaf15|metro5/pop2/leaf/leaf15|0", - "metro1/pop1/leaf/leaf14|metro5/pop1/leaf/leaf14|0", - "metro2/pop1/leaf/leaf2|metro3/pop1/core/core|0", - "metro1/pop1/leaf/leaf9|metro5/pop1/leaf/leaf9|0", - "metro1/pop1/leaf/leaf7|metro5/pop1/leaf/leaf7|0", - "metro2/pop1/leaf/leaf10|metro3/pop1/core/core|0", + "metro2/pop2/leaf/leaf2|metro5/pop2/leaf/leaf2|0", "metro1/pop1/leaf/leaf6|metro5/pop1/leaf/leaf6|0", - "metro2/pop1/leaf/leaf15|metro5/pop1/leaf/leaf15|0", - "metro2/pop2/leaf/leaf15|metro3/pop2/core/core|0", - "metro1/pop2/leaf/leaf3|metro5/pop2/leaf/leaf3|0", - "metro1/pop2/leaf/leaf16|metro5/pop2/leaf/leaf16|0", - "metro1/pop2/leaf/leaf14|metro5/pop2/leaf/leaf14|0", - "metro2/pop2/leaf/leaf5|metro5/pop2/leaf/leaf5|0", - "metro1/pop2/leaf/leaf2|metro5/pop2/leaf/leaf2|0", "metro1/pop1/leaf/leaf13|metro5/pop1/leaf/leaf13|0", "metro2/pop1/leaf/leaf1|metro3/pop1/core/core|0", - "metro1/pop1/leaf/leaf2|metro5/pop1/leaf/leaf2|0", + "metro2/pop2/leaf/leaf7|metro5/pop2/leaf/leaf7|0", + "metro1/pop1/leaf/leaf3|metro5/pop1/leaf/leaf3|0", + "metro1/pop2/leaf/leaf16|metro5/pop2/leaf/leaf16|0", + "metro2/pop2/leaf/leaf10|metro5/pop2/leaf/leaf10|0", + "metro1/pop2/leaf/leaf12|metro5/pop2/leaf/leaf12|0", + "metro1/pop2/leaf/leaf8|metro5/pop2/leaf/leaf8|0", + "metro1/pop1/leaf/leaf1|metro5/pop1/leaf/leaf1|0", "metro2/pop2/leaf/leaf12|metro3/pop2/core/core|0", - "metro2/pop2/leaf/leaf10|metro3/pop2/core/core|0", - "metro2/pop1/leaf/leaf16|metro3/pop1/core/core|0", - "metro2/pop1/leaf/leaf8|metro5/pop1/leaf/leaf8|0", - "metro1/pop2/leaf/leaf10|metro5/pop2/leaf/leaf10|0", + "metro1/pop1/leaf/leaf15|metro5/pop1/leaf/leaf15|0", + "metro2/pop1/leaf/leaf3|metro3/pop1/core/core|0", + "metro2/pop2/leaf/leaf2|metro3/pop2/core/core|0", "metro2/pop2/leaf/leaf4|metro5/pop2/leaf/leaf4|0", + "metro2/pop1/leaf/leaf2|metro5/pop1/leaf/leaf2|0", + "metro2/pop1/leaf/leaf11|metro3/pop1/core/core|0", + "metro2/pop2/leaf/leaf6|metro3/pop2/core/core|0", + "metro2/pop1/leaf/leaf6|metro3/pop1/core/core|0", + "metro1/pop1/leaf/leaf16|metro5/pop1/leaf/leaf16|0", "metro2/pop2/leaf/leaf9|metro5/pop2/leaf/leaf9|0", - "metro2/pop2/leaf/leaf7|metro5/pop2/leaf/leaf7|0", - "metro2/pop1/leaf/leaf7|metro3/pop1/core/core|0", + "metro1/pop2/leaf/leaf5|metro5/pop2/leaf/leaf5|0", + "metro2/pop1/leaf/leaf10|metro5/pop1/leaf/leaf10|0", + "metro2/pop1/leaf/leaf7|metro5/pop1/leaf/leaf7|0", + "metro1/pop2/leaf/leaf11|metro5/pop2/leaf/leaf11|0", + "metro1/pop1/leaf/leaf8|metro5/pop1/leaf/leaf8|0", + "metro2/pop1/leaf/leaf5|metro3/pop1/core/core|0", + "metro1/pop2/leaf/leaf4|metro5/pop2/leaf/leaf4|0", + "metro2/pop1/leaf/leaf8|metro5/pop1/leaf/leaf8|0", + "metro2/pop2/leaf/leaf11|metro3/pop2/core/core|0", + "metro2/pop1/leaf/leaf14|metro3/pop1/core/core|0", + "metro2/pop2/leaf/leaf8|metro5/pop2/leaf/leaf8|0", + "metro1/pop2/leaf/leaf1|metro5/pop2/leaf/leaf1|0", "metro2/pop1/leaf/leaf8|metro3/pop1/core/core|0", - "metro2/pop1/leaf/leaf11|metro5/pop1/leaf/leaf11|0", + "metro2/pop2/leaf/leaf16|metro5/pop2/leaf/leaf16|0", "metro2/pop2/leaf/leaf7|metro3/pop2/core/core|0", "metro1/pop1/leaf/leaf12|metro5/pop1/leaf/leaf12|0", - "metro2/pop2/leaf/leaf16|metro3/pop2/core/core|0", - "metro2/pop1/leaf/leaf3|metro3/pop1/core/core|0", - "metro2/pop1/leaf/leaf14|metro3/pop1/core/core|0", - "metro2/pop1/leaf/leaf4|metro3/pop1/core/core|0", - "metro1/pop2/leaf/leaf11|metro5/pop2/leaf/leaf11|0", - "metro1/pop2/leaf/leaf8|metro5/pop2/leaf/leaf8|0", - "metro1/pop1/leaf/leaf1|metro5/pop1/leaf/leaf1|0", - "metro2/pop2/leaf/leaf2|metro5/pop2/leaf/leaf2|0", + "metro2/pop1/leaf/leaf6|metro5/pop1/leaf/leaf6|0", + "metro2/pop2/leaf/leaf15|metro5/pop2/leaf/leaf15|0", + "metro1/pop2/leaf/leaf2|metro5/pop2/leaf/leaf2|0", "metro1/pop2/leaf/leaf6|metro5/pop2/leaf/leaf6|0", - "metro2/pop2/leaf/leaf1|metro5/pop2/leaf/leaf1|0", - "metro2/pop2/leaf/leaf6|metro3/pop2/core/core|0", - "metro2/pop1/leaf/leaf13|metro3/pop1/core/core|0", - "metro2/pop1/leaf/leaf16|metro5/pop1/leaf/leaf16|0", - "metro2/pop1/leaf/leaf12|metro5/pop1/leaf/leaf12|0", - "metro2/pop2/leaf/leaf2|metro3/pop2/core/core|0", - "metro2/pop2/leaf/leaf5|metro3/pop2/core/core|0", - "metro1/pop2/leaf/leaf1|metro5/pop2/leaf/leaf1|0", - "metro2/pop1/leaf/leaf1|metro5/pop1/leaf/leaf1|0", - "metro1/pop1/leaf/leaf16|metro5/pop1/leaf/leaf16|0", - "metro1/pop2/leaf/leaf13|metro5/pop2/leaf/leaf13|0", - "metro1/pop1/leaf/leaf11|metro5/pop1/leaf/leaf11|0", - "metro2/pop1/leaf/leaf15|metro3/pop1/core/core|0", - "metro2/pop2/leaf/leaf11|metro3/pop2/core/core|0", - "metro1/pop2/leaf/leaf12|metro5/pop2/leaf/leaf12|0", - "metro2/pop1/leaf/leaf3|metro5/pop1/leaf/leaf3|0", - "metro2/pop2/leaf/leaf1|metro3/pop2/core/core|0", "metro2/pop2/leaf/leaf13|metro5/pop2/leaf/leaf13|0", - "metro1/pop1/leaf/leaf5|metro5/pop1/leaf/leaf5|0", + "metro2/pop2/leaf/leaf11|metro5/pop2/leaf/leaf11|0", "metro1/pop1/leaf/leaf10|metro5/pop1/leaf/leaf10|0", - "metro1/pop2/leaf/leaf7|metro5/pop2/leaf/leaf7|0", - "metro1/pop1/leaf/leaf15|metro5/pop1/leaf/leaf15|0", + "metro2/pop2/leaf/leaf3|metro3/pop2/core/core|0", + "metro1/pop1/leaf/leaf7|metro5/pop1/leaf/leaf7|0", + "metro2/pop1/leaf/leaf4|metro3/pop1/core/core|0", + "metro2/pop2/leaf/leaf9|metro3/pop2/core/core|0", + "metro2/pop1/leaf/leaf9|metro3/pop1/core/core|0", + "metro2/pop1/leaf/leaf3|metro5/pop1/leaf/leaf3|0", + "metro1/pop2/leaf/leaf9|metro5/pop2/leaf/leaf9|0", + "metro2/pop2/leaf/leaf5|metro3/pop2/core/core|0", + "metro2/pop2/leaf/leaf1|metro5/pop2/leaf/leaf1|0", + "metro2/pop2/leaf/leaf5|metro5/pop2/leaf/leaf5|0", "metro2/pop1/leaf/leaf12|metro3/pop1/core/core|0", + "metro2/pop1/leaf/leaf13|metro3/pop1/core/core|0", + "metro1/pop2/leaf/leaf13|metro5/pop2/leaf/leaf13|0", + "metro1/pop1/leaf/leaf2|metro5/pop1/leaf/leaf2|0", + "metro2/pop1/leaf/leaf15|metro5/pop1/leaf/leaf15|0", + "metro2/pop1/leaf/leaf9|metro5/pop1/leaf/leaf9|0", + "metro1/pop1/leaf/leaf9|metro5/pop1/leaf/leaf9|0", + "metro1/pop1/leaf/leaf4|metro5/pop1/leaf/leaf4|0", + "metro2/pop2/leaf/leaf6|metro5/pop2/leaf/leaf6|0", "metro2/pop1/leaf/leaf13|metro5/pop1/leaf/leaf13|0", - "metro2/pop2/leaf/leaf12|metro5/pop2/leaf/leaf12|0", - "metro2/pop2/leaf/leaf16|metro5/pop2/leaf/leaf16|0", - "metro2/pop1/leaf/leaf6|metro3/pop1/core/core|0", "metro2/pop2/leaf/leaf14|metro3/pop2/core/core|0", - "metro1/pop2/leaf/leaf5|metro5/pop2/leaf/leaf5|0", + "metro1/pop2/leaf/leaf10|metro5/pop2/leaf/leaf10|0", + "metro2/pop2/leaf/leaf16|metro3/pop2/core/core|0", "metro2/pop1/leaf/leaf4|metro5/pop1/leaf/leaf4|0", - "metro2/pop1/leaf/leaf7|metro5/pop1/leaf/leaf7|0", - "metro1/pop2/leaf/leaf15|metro5/pop2/leaf/leaf15|0", + "metro1/pop2/leaf/leaf7|metro5/pop2/leaf/leaf7|0", + "metro2/pop1/leaf/leaf1|metro5/pop1/leaf/leaf1|0", + "metro2/pop2/leaf/leaf12|metro5/pop2/leaf/leaf12|0", + "metro2/pop2/leaf/leaf15|metro3/pop2/core/core|0", + "metro1/pop1/leaf/leaf14|metro5/pop1/leaf/leaf14|0", + "metro2/pop1/leaf/leaf11|metro5/pop1/leaf/leaf11|0", + "metro2/pop1/leaf/leaf14|metro5/pop1/leaf/leaf14|0", + "metro2/pop1/leaf/leaf5|metro5/pop1/leaf/leaf5|0", + "metro2/pop1/leaf/leaf7|metro3/pop1/core/core|0", + "metro2/pop1/leaf/leaf15|metro3/pop1/core/core|0", + "metro2/pop1/leaf/leaf10|metro3/pop1/core/core|0", "metro2/pop2/leaf/leaf4|metro3/pop2/core/core|0", - "metro2/pop1/leaf/leaf11|metro3/pop1/core/core|0", + "metro1/pop2/leaf/leaf14|metro5/pop2/leaf/leaf14|0", + "metro2/pop2/leaf/leaf8|metro3/pop2/core/core|0", + "metro2/pop2/leaf/leaf1|metro3/pop2/core/core|0", + "metro1/pop1/leaf/leaf5|metro5/pop1/leaf/leaf5|0", "metro2/pop2/leaf/leaf13|metro3/pop2/core/core|0", - "metro1/pop2/leaf/leaf9|metro5/pop2/leaf/leaf9|0", - "metro2/pop1/leaf/leaf9|metro3/pop1/core/core|0", - "metro2/pop1/leaf/leaf5|metro5/pop1/leaf/leaf5|0", - "metro2/pop2/leaf/leaf3|metro5/pop2/leaf/leaf3|0", - "metro1/pop1/leaf/leaf8|metro5/pop1/leaf/leaf8|0", - "metro2/pop1/leaf/leaf14|metro5/pop1/leaf/leaf14|0", - "metro2/pop2/leaf/leaf8|metro5/pop2/leaf/leaf8|0", - "metro2/pop1/leaf/leaf10|metro5/pop1/leaf/leaf10|0", - "metro2/pop2/leaf/leaf11|metro5/pop2/leaf/leaf11|0", - "metro2/pop1/leaf/leaf9|metro5/pop1/leaf/leaf9|0", - "metro1/pop1/leaf/leaf3|metro5/pop1/leaf/leaf3|0", - "metro2/pop2/leaf/leaf10|metro5/pop2/leaf/leaf10|0", - "metro2/pop1/leaf/leaf2|metro5/pop1/leaf/leaf2|0", - "metro2/pop2/leaf/leaf6|metro5/pop2/leaf/leaf6|0", - "metro2/pop1/leaf/leaf5|metro3/pop1/core/core|0", - "metro1/pop2/leaf/leaf4|metro5/pop2/leaf/leaf4|0", - "metro2/pop2/leaf/leaf3|metro3/pop2/core/core|0", + "metro2/pop1/leaf/leaf16|metro5/pop1/leaf/leaf16|0", + "metro2/pop2/leaf/leaf10|metro3/pop2/core/core|0", "metro2/pop2/leaf/leaf14|metro5/pop2/leaf/leaf14|0", - "metro2/pop1/leaf/leaf6|metro5/pop1/leaf/leaf6|0", - "metro2/pop2/leaf/leaf8|metro3/pop2/core/core|0", - "metro2/pop2/leaf/leaf9|metro3/pop2/core/core|0", - "metro1/pop1/leaf/leaf4|metro5/pop1/leaf/leaf4|0" + "metro1/pop1/leaf/leaf11|metro5/pop1/leaf/leaf11|0", + "metro2/pop1/leaf/leaf16|metro3/pop1/core/core|0", + "metro2/pop2/leaf/leaf3|metro5/pop2/leaf/leaf3|0", + "metro2/pop1/leaf/leaf12|metro5/pop1/leaf/leaf12|0", + "metro1/pop2/leaf/leaf3|metro5/pop2/leaf/leaf3|0", + "metro2/pop1/leaf/leaf2|metro3/pop1/core/core|0", + "metro1/pop2/leaf/leaf15|metro5/pop2/leaf/leaf15|0" ] }, "failure_trace": null, @@ -3576,9 +3576,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro1/pop1/leaf/leaf11|metro1/dc1/dc/dc|0", + "metro2/pop1/leaf/leaf13|metro2/dc1/dc/dc|0", "metro2/pop1/leaf/leaf7|metro2/dc1/dc/dc|0", - "metro2/pop1/leaf/leaf13|metro2/dc1/dc/dc|0" + "metro1/pop1/leaf/leaf11|metro1/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -3786,38 +3786,38 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro2/pop2/leaf/leaf15|metro4/pop2/core/core|0", - "metro2/pop1/leaf/leaf7|metro4/pop1/core/core|0", - "metro2/pop1/leaf/leaf10|metro4/pop1/core/core|0", - "metro2/pop2/leaf/leaf11|metro4/pop2/core/core|0", - "metro2/pop2/leaf/leaf5|metro4/pop2/core/core|0", - "metro2/pop2/leaf/leaf3|metro4/pop2/core/core|0", + "metro2/pop1/leaf/leaf13|metro4/pop1/core/core|0", + "metro2/pop1/leaf/leaf2|metro4/pop1/core/core|0", "metro2/pop1/leaf/leaf6|metro4/pop1/core/core|0", - "metro2/pop2/leaf/leaf12|metro4/pop2/core/core|0", - "metro2/pop1/leaf/leaf9|metro4/pop1/core/core|0", - "metro2/pop2/leaf/leaf2|metro4/pop2/core/core|0", - "metro2/pop1/leaf/leaf5|metro4/pop1/core/core|0", - "metro2/pop2/leaf/leaf4|metro4/pop2/core/core|0", - "metro2/pop1/leaf/leaf15|metro4/pop1/core/core|0", "metro2/pop1/leaf/leaf16|metro4/pop1/core/core|0", + "metro2/pop1/leaf/leaf3|metro4/pop1/core/core|0", + "metro2/pop1/leaf/leaf15|metro4/pop1/core/core|0", + "metro2/pop1/leaf/leaf5|metro4/pop1/core/core|0", + "metro2/pop1/leaf/leaf9|metro4/pop1/core/core|0", "metro2/pop2/leaf/leaf7|metro4/pop2/core/core|0", - "metro2/pop1/leaf/leaf12|metro4/pop1/core/core|0", - "metro2/pop1/leaf/leaf2|metro4/pop1/core/core|0", - "metro2/pop2/leaf/leaf14|metro4/pop2/core/core|0", + "metro2/pop1/leaf/leaf14|metro4/pop1/core/core|0", + "metro2/pop1/leaf/leaf7|metro4/pop1/core/core|0", "metro2/pop2/leaf/leaf16|metro4/pop2/core/core|0", + "metro2/pop2/leaf/leaf4|metro4/pop2/core/core|0", "metro2/pop2/leaf/leaf6|metro4/pop2/core/core|0", - "metro2/pop1/leaf/leaf3|metro4/pop1/core/core|0", + "metro2/pop2/leaf/leaf8|metro4/pop2/core/core|0", + "metro2/pop2/leaf/leaf14|metro4/pop2/core/core|0", + "metro2/pop1/leaf/leaf11|metro4/pop1/core/core|0", + "metro2/pop1/leaf/leaf8|metro4/pop1/core/core|0", + "metro2/pop2/leaf/leaf5|metro4/pop2/core/core|0", "metro2/pop2/leaf/leaf10|metro4/pop2/core/core|0", - "metro2/pop2/leaf/leaf9|metro4/pop2/core/core|0", - "metro2/pop2/leaf/leaf1|metro4/pop2/core/core|0", - "metro2/pop1/leaf/leaf13|metro4/pop1/core/core|0", + "metro2/pop2/leaf/leaf11|metro4/pop2/core/core|0", + "metro2/pop2/leaf/leaf15|metro4/pop2/core/core|0", + "metro2/pop1/leaf/leaf12|metro4/pop1/core/core|0", "metro2/pop1/leaf/leaf4|metro4/pop1/core/core|0", - "metro2/pop1/leaf/leaf14|metro4/pop1/core/core|0", - "metro2/pop1/leaf/leaf8|metro4/pop1/core/core|0", + "metro2/pop2/leaf/leaf1|metro4/pop2/core/core|0", + "metro2/pop1/leaf/leaf10|metro4/pop1/core/core|0", + "metro2/pop2/leaf/leaf9|metro4/pop2/core/core|0", + "metro2/pop2/leaf/leaf2|metro4/pop2/core/core|0", + "metro2/pop2/leaf/leaf12|metro4/pop2/core/core|0", "metro2/pop1/leaf/leaf1|metro4/pop1/core/core|0", - "metro2/pop1/leaf/leaf11|metro4/pop1/core/core|0", - "metro2/pop2/leaf/leaf13|metro4/pop2/core/core|0", - "metro2/pop2/leaf/leaf8|metro4/pop2/core/core|0" + "metro2/pop2/leaf/leaf3|metro4/pop2/core/core|0", + "metro2/pop2/leaf/leaf13|metro4/pop2/core/core|0" ] }, "failure_trace": null, @@ -3916,8 +3916,8 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro2/pop2/leaf/leaf8|metro2/dc1/dc/dc|0", "metro2/pop2/leaf/leaf14|metro2/dc1/dc/dc|0", + "metro2/pop2/leaf/leaf8|metro2/dc1/dc/dc|0", "metro2/pop1/leaf/leaf10|metro2/dc1/dc/dc|0" ] }, @@ -4139,9 +4139,9 @@ "excluded_nodes": [], "excluded_links": [ "metro5/pop2/leaf/leaf4|metro5/pop2/spine/spine1|0", - "metro5/pop2/leaf/leaf3|metro5/pop2/spine/spine3|0", "metro2/pop2/leaf/leaf8|metro2/pop2/spine/spine4|0", - "metro5/pop2/leaf/leaf9|metro5/pop2/spine/spine3|0" + "metro5/pop2/leaf/leaf9|metro5/pop2/spine/spine3|0", + "metro5/pop2/leaf/leaf3|metro5/pop2/spine/spine3|0" ] }, "failure_trace": null, @@ -4240,10 +4240,10 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro2/pop2/leaf/leaf10|metro2/pop2/spine/spine1|0", - "metro5/pop2/leaf/leaf15|metro5/pop2/spine/spine1|0", + "metro1/pop2/leaf/leaf8|metro1/pop2/spine/spine3|0", "metro5/pop1/leaf/leaf16|metro5/pop1/spine/spine3|0", - "metro1/pop2/leaf/leaf8|metro1/pop2/spine/spine3|0" + "metro5/pop2/leaf/leaf15|metro5/pop2/spine/spine1|0", + "metro2/pop2/leaf/leaf10|metro2/pop2/spine/spine1|0" ] }, "failure_trace": null, @@ -4442,8 +4442,8 @@ "excluded_nodes": [], "excluded_links": [ "metro5/pop1/leaf/leaf1|metro5/dc1/dc/dc|0", - "metro2/pop1/leaf/leaf4|metro2/dc1/dc/dc|0", - "metro5/pop2/leaf/leaf10|metro5/dc1/dc/dc|0" + "metro5/pop2/leaf/leaf10|metro5/dc1/dc/dc|0", + "metro2/pop1/leaf/leaf4|metro2/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -4656,9 +4656,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro2/pop2/leaf/leaf15|metro2/pop2/spine/spine2|0", "metro5/pop2/leaf/leaf9|metro5/pop2/spine/spine1|0", "metro5/pop2/leaf/leaf7|metro5/pop2/spine/spine3|0", + "metro2/pop2/leaf/leaf15|metro2/pop2/spine/spine2|0", "metro1/pop2/leaf/leaf10|metro1/pop2/spine/spine2|0" ] }, @@ -4871,72 +4871,72 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro3/pop2/core/core|metro5/pop2/leaf/leaf13|0", - "metro4/pop2/core/core|metro5/pop2/leaf/leaf14|0", "metro4/pop1/core/core|metro5/pop1/leaf/leaf14|0", - "metro4/pop1/core/core|metro5/pop1/leaf/leaf8|0", - "metro4/pop2/core/core|metro5/pop2/leaf/leaf11|0", - "metro3/pop1/core/core|metro5/pop1/leaf/leaf14|0", - "metro3/pop1/core/core|metro4/pop1/core/core|0", - "metro4/pop2/core/core|metro5/pop2/leaf/leaf5|0", - "metro3/pop1/core/core|metro5/pop1/leaf/leaf9|0", - "metro4/pop2/core/core|metro5/pop2/leaf/leaf4|0", - "metro3/pop2/core/core|metro5/pop2/leaf/leaf5|0", + "metro4/pop1/core/core|metro5/pop1/leaf/leaf5|0", + "metro4/pop2/core/core|metro5/pop2/leaf/leaf6|0", + "metro4/pop2/core/core|metro5/pop2/leaf/leaf10|0", "metro4/pop1/core/core|metro5/pop1/leaf/leaf7|0", - "metro3/pop2/core/core|metro5/pop2/leaf/leaf7|0", + "metro4/pop1/core/core|metro5/pop1/leaf/leaf16|0", "metro4/pop1/core/core|metro5/pop1/leaf/leaf9|0", - "metro4/pop1/core/core|metro5/pop1/leaf/leaf12|0", - "metro4/pop2/core/core|metro5/pop2/leaf/leaf2|0", - "metro3/pop2/core/core|metro5/pop2/leaf/leaf15|0", - "metro3/pop2/core/core|metro5/pop2/leaf/leaf11|0", - "metro4/pop2/core/core|metro5/pop2/leaf/leaf16|0", - "metro3/pop2/core/core|metro5/pop2/leaf/leaf8|0", - "metro4/pop2/core/core|metro5/pop2/leaf/leaf8|0", - "metro3/pop2/core/core|metro5/pop2/leaf/leaf6|0", - "metro3/pop2/core/core|metro5/pop2/leaf/leaf10|0", - "metro4/pop2/core/core|metro5/pop2/leaf/leaf3|0", - "metro4/pop2/core/core|metro5/pop2/leaf/leaf7|0", - "metro3/pop1/core/core|metro5/pop1/leaf/leaf13|0", + "metro4/pop1/core/core|metro5/pop1/leaf/leaf13|0", "metro3/pop2/core/core|metro5/pop2/leaf/leaf1|0", - "metro4/pop1/core/core|metro5/pop1/leaf/leaf6|0", - "metro4/pop1/core/core|metro5/pop1/leaf/leaf10|0", - "metro4/pop1/core/core|metro5/pop1/leaf/leaf3|0", - "metro4/pop1/core/core|metro5/pop1/leaf/leaf4|0", - "metro4/pop2/core/core|metro5/pop2/leaf/leaf10|0", + "metro3/pop2/core/core|metro5/pop2/leaf/leaf11|0", "metro3/pop2/core/core|metro5/pop2/leaf/leaf14|0", + "metro4/pop1/core/core|metro5/pop1/leaf/leaf1|0", + "metro3/pop2/core/core|metro5/pop2/leaf/leaf8|0", "metro3/pop1/core/core|metro5/pop1/leaf/leaf5|0", - "metro4/pop2/core/core|metro5/pop2/leaf/leaf1|0", - "metro3/pop1/core/core|metro5/pop1/leaf/leaf2|0", - "metro3/pop1/core/core|metro5/pop1/leaf/leaf11|0", - "metro3/pop2/core/core|metro5/pop2/leaf/leaf16|0", - "metro4/pop1/core/core|metro5/pop1/leaf/leaf2|0", + "metro3/pop1/core/core|metro5/pop1/leaf/leaf15|0", + "metro3/pop1/core/core|metro4/pop1/core/core|0", + "metro4/pop1/core/core|metro5/pop1/leaf/leaf8|0", + "metro3/pop2/core/core|metro5/pop2/leaf/leaf7|0", "metro4/pop2/core/core|metro5/pop2/leaf/leaf9|0", - "metro3/pop2/core/core|metro5/pop2/leaf/leaf9|0", - "metro3/pop1/core/core|metro5/pop1/leaf/leaf8|0", "metro3/pop1/core/core|metro5/pop1/leaf/leaf12|0", - "metro3/pop1/core/core|metro5/pop1/leaf/leaf7|0", - "metro4/pop2/core/core|metro5/pop2/leaf/leaf12|0", + "metro3/pop1/core/core|metro5/pop1/leaf/leaf6|0", + "metro4/pop1/core/core|metro5/pop1/leaf/leaf12|0", + "metro3/pop2/core/core|metro5/pop2/leaf/leaf15|0", + "metro4/pop1/core/core|metro5/pop1/leaf/leaf15|0", + "metro3/pop2/core/core|metro5/pop2/leaf/leaf2|0", + "metro4/pop2/core/core|metro5/pop2/leaf/leaf15|0", + "metro4/pop2/core/core|metro5/pop2/leaf/leaf1|0", + "metro3/pop1/core/core|metro5/pop1/leaf/leaf11|0", "metro3/pop1/core/core|metro5/pop1/leaf/leaf3|0", - "metro3/pop1/core/core|metro5/pop1/leaf/leaf16|0", - "metro4/pop1/core/core|metro5/pop1/leaf/leaf1|0", - "metro3/pop1/core/core|metro5/pop1/leaf/leaf10|0", - "metro3/pop2/core/core|metro5/pop2/leaf/leaf3|0", - "metro4/pop1/core/core|metro5/pop1/leaf/leaf13|0", "metro3/pop2/core/core|metro5/pop2/leaf/leaf12|0", - "metro3/pop2/core/core|metro5/pop2/leaf/leaf2|0", - "metro4/pop1/core/core|metro5/pop1/leaf/leaf5|0", - "metro3/pop1/core/core|metro5/pop1/leaf/leaf6|0", - "metro4/pop2/core/core|metro5/pop2/leaf/leaf6|0", + "metro3/pop1/core/core|metro5/pop1/leaf/leaf2|0", + "metro3/pop2/core/core|metro5/pop2/leaf/leaf13|0", + "metro4/pop1/core/core|metro5/pop1/leaf/leaf10|0", + "metro4/pop2/core/core|metro5/pop2/leaf/leaf12|0", + "metro3/pop2/core/core|metro5/pop2/leaf/leaf4|0", + "metro3/pop1/core/core|metro5/pop1/leaf/leaf8|0", + "metro3/pop1/core/core|metro5/pop1/leaf/leaf9|0", "metro3/pop2/core/core|metro4/pop2/core/core|0", - "metro3/pop1/core/core|metro5/pop1/leaf/leaf15|0", + "metro4/pop2/core/core|metro5/pop2/leaf/leaf8|0", + "metro3/pop1/core/core|metro5/pop1/leaf/leaf16|0", + "metro4/pop1/core/core|metro5/pop1/leaf/leaf3|0", + "metro3/pop1/core/core|metro5/pop1/leaf/leaf10|0", + "metro4/pop2/core/core|metro5/pop2/leaf/leaf13|0", + "metro4/pop2/core/core|metro5/pop2/leaf/leaf14|0", + "metro3/pop2/core/core|metro5/pop2/leaf/leaf9|0", "metro3/pop1/core/core|metro5/pop1/leaf/leaf1|0", - "metro4/pop1/core/core|metro5/pop1/leaf/leaf11|0", - "metro4/pop1/core/core|metro5/pop1/leaf/leaf16|0", "metro3/pop1/core/core|metro5/pop1/leaf/leaf4|0", - "metro4/pop2/core/core|metro5/pop2/leaf/leaf13|0", - "metro4/pop1/core/core|metro5/pop1/leaf/leaf15|0", - "metro3/pop2/core/core|metro5/pop2/leaf/leaf4|0", - "metro4/pop2/core/core|metro5/pop2/leaf/leaf15|0" + "metro3/pop1/core/core|metro5/pop1/leaf/leaf13|0", + "metro3/pop1/core/core|metro5/pop1/leaf/leaf7|0", + "metro3/pop1/core/core|metro5/pop1/leaf/leaf14|0", + "metro4/pop1/core/core|metro5/pop1/leaf/leaf4|0", + "metro3/pop2/core/core|metro5/pop2/leaf/leaf3|0", + "metro3/pop2/core/core|metro5/pop2/leaf/leaf10|0", + "metro4/pop2/core/core|metro5/pop2/leaf/leaf3|0", + "metro4/pop2/core/core|metro5/pop2/leaf/leaf5|0", + "metro3/pop2/core/core|metro5/pop2/leaf/leaf16|0", + "metro4/pop2/core/core|metro5/pop2/leaf/leaf7|0", + "metro4/pop2/core/core|metro5/pop2/leaf/leaf2|0", + "metro4/pop2/core/core|metro5/pop2/leaf/leaf4|0", + "metro3/pop2/core/core|metro5/pop2/leaf/leaf6|0", + "metro4/pop2/core/core|metro5/pop2/leaf/leaf11|0", + "metro4/pop1/core/core|metro5/pop1/leaf/leaf2|0", + "metro4/pop1/core/core|metro5/pop1/leaf/leaf11|0", + "metro4/pop2/core/core|metro5/pop2/leaf/leaf16|0", + "metro4/pop1/core/core|metro5/pop1/leaf/leaf6|0", + "metro3/pop2/core/core|metro5/pop2/leaf/leaf5|0" ] }, "failure_trace": null, @@ -5035,9 +5035,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro1/pop2/leaf/leaf15|metro1/dc1/dc/dc|0", + "metro5/pop2/leaf/leaf2|metro5/dc1/dc/dc|0", "metro5/pop1/leaf/leaf13|metro5/dc1/dc/dc|0", - "metro5/pop2/leaf/leaf2|metro5/dc1/dc/dc|0" + "metro1/pop2/leaf/leaf15|metro1/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -5365,10 +5365,10 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro2/pop2/leaf/leaf7|metro2/pop2/spine/spine4|0", - "metro5/pop1/leaf/leaf9|metro5/pop1/spine/spine4|0", + "metro1/pop2/leaf/leaf4|metro1/pop2/spine/spine2|0", "metro2/pop2/leaf/leaf1|metro2/pop2/spine/spine3|0", - "metro1/pop2/leaf/leaf4|metro1/pop2/spine/spine2|0" + "metro2/pop2/leaf/leaf7|metro2/pop2/spine/spine4|0", + "metro5/pop1/leaf/leaf9|metro5/pop1/spine/spine4|0" ] }, "failure_trace": null, @@ -5467,9 +5467,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ + "metro1/pop1/leaf/leaf6|metro1/dc1/dc/dc|0", "metro5/pop1/leaf/leaf7|metro5/dc1/dc/dc|0", - "metro1/pop2/leaf/leaf11|metro1/dc1/dc/dc|0", - "metro1/pop1/leaf/leaf6|metro1/dc1/dc/dc|0" + "metro1/pop2/leaf/leaf11|metro1/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -5677,9 +5677,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro1/pop1/leaf/leaf12|metro1/dc1/dc/dc|0", + "metro2/pop1/leaf/leaf5|metro2/dc1/dc/dc|0", "metro2/pop2/leaf/leaf5|metro2/dc1/dc/dc|0", - "metro2/pop1/leaf/leaf5|metro2/dc1/dc/dc|0" + "metro1/pop1/leaf/leaf12|metro1/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -5891,9 +5891,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ + "metro5/pop1/leaf/leaf8|metro5/dc1/dc/dc|0", "metro1/pop1/leaf/leaf7|metro1/dc1/dc/dc|0", - "metro1/pop1/leaf/leaf13|metro1/dc1/dc/dc|0", - "metro5/pop1/leaf/leaf8|metro5/dc1/dc/dc|0" + "metro1/pop1/leaf/leaf13|metro1/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -5999,9 +5999,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro1/pop1/leaf/leaf11|metro1/dc1/dc/dc|0", "metro2/pop1/leaf/leaf2|metro2/dc1/dc/dc|0", - "metro1/pop1/leaf/leaf15|metro1/dc1/dc/dc|0" + "metro1/pop1/leaf/leaf15|metro1/dc1/dc/dc|0", + "metro1/pop1/leaf/leaf11|metro1/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -6106,9 +6106,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ + "metro5/pop1/leaf/leaf4|metro5/dc1/dc/dc|0", "metro1/pop1/leaf/leaf5|metro1/dc1/dc/dc|0", - "metro1/pop2/leaf/leaf6|metro1/dc1/dc/dc|0", - "metro5/pop1/leaf/leaf4|metro5/dc1/dc/dc|0" + "metro1/pop2/leaf/leaf6|metro1/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -6320,70 +6320,70 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro1/pop1/leaf/leaf14|metro5/pop1/leaf/leaf14|0", - "metro1/pop1/leaf/leaf13|metro2/pop1/leaf/leaf13|0", - "metro1/pop2/leaf/leaf12|metro2/pop2/leaf/leaf12|0", - "metro1/pop1/leaf/leaf10|metro2/pop1/leaf/leaf10|0", - "metro1/pop1/leaf/leaf9|metro5/pop1/leaf/leaf9|0", - "metro1/pop1/leaf/leaf7|metro5/pop1/leaf/leaf7|0", "metro1/pop1/leaf/leaf6|metro5/pop1/leaf/leaf6|0", - "metro1/pop2/leaf/leaf2|metro2/pop2/leaf/leaf2|0", - "metro1/pop1/leaf/leaf9|metro2/pop1/leaf/leaf9|0", - "metro1/pop2/leaf/leaf8|metro2/pop2/leaf/leaf8|0", - "metro1/pop2/leaf/leaf3|metro5/pop2/leaf/leaf3|0", - "metro1/pop2/leaf/leaf16|metro5/pop2/leaf/leaf16|0", - "metro1/pop1/leaf/leaf8|metro2/pop1/leaf/leaf8|0", - "metro1/pop1/leaf/leaf5|metro2/pop1/leaf/leaf5|0", - "metro1/pop2/leaf/leaf14|metro5/pop2/leaf/leaf14|0", - "metro1/pop2/leaf/leaf2|metro5/pop2/leaf/leaf2|0", - "metro1/pop2/leaf/leaf4|metro2/pop2/leaf/leaf4|0", "metro1/pop1/leaf/leaf13|metro5/pop1/leaf/leaf13|0", - "metro1/pop1/leaf/leaf2|metro5/pop1/leaf/leaf2|0", - "metro1/pop1/leaf/leaf11|metro2/pop1/leaf/leaf11|0", - "metro1/pop1/leaf/leaf14|metro2/pop1/leaf/leaf14|0", - "metro1/pop2/leaf/leaf3|metro2/pop2/leaf/leaf3|0", + "metro1/pop2/leaf/leaf5|metro2/pop2/leaf/leaf5|0", + "metro1/pop1/leaf/leaf3|metro5/pop1/leaf/leaf3|0", + "metro1/pop2/leaf/leaf16|metro5/pop2/leaf/leaf16|0", + "metro1/pop2/leaf/leaf12|metro5/pop2/leaf/leaf12|0", "metro1/pop1/leaf/leaf7|metro2/pop1/leaf/leaf7|0", - "metro1/pop2/leaf/leaf10|metro5/pop2/leaf/leaf10|0", - "metro1/pop2/leaf/leaf15|metro2/pop2/leaf/leaf15|0", - "metro1/pop1/leaf/leaf12|metro2/pop1/leaf/leaf12|0", - "metro1/pop1/leaf/leaf12|metro5/pop1/leaf/leaf12|0", + "metro1/pop1/leaf/leaf11|metro2/pop1/leaf/leaf11|0", "metro1/pop2/leaf/leaf8|metro5/pop2/leaf/leaf8|0", - "metro1/pop2/leaf/leaf11|metro5/pop2/leaf/leaf11|0", "metro1/pop1/leaf/leaf1|metro5/pop1/leaf/leaf1|0", - "metro1/pop2/leaf/leaf6|metro5/pop2/leaf/leaf6|0", + "metro1/pop1/leaf/leaf1|metro2/pop1/leaf/leaf1|0", + "metro1/pop1/leaf/leaf15|metro5/pop1/leaf/leaf15|0", "metro1/pop1/leaf/leaf4|metro2/pop1/leaf/leaf4|0", - "metro1/pop1/leaf/leaf2|metro2/pop1/leaf/leaf2|0", + "metro1/pop2/leaf/leaf14|metro2/pop2/leaf/leaf14|0", + "metro1/pop2/leaf/leaf15|metro2/pop2/leaf/leaf15|0", + "metro1/pop1/leaf/leaf16|metro5/pop1/leaf/leaf16|0", + "metro1/pop2/leaf/leaf5|metro5/pop2/leaf/leaf5|0", + "metro1/pop1/leaf/leaf16|metro2/pop1/leaf/leaf16|0", + "metro1/pop2/leaf/leaf11|metro5/pop2/leaf/leaf11|0", + "metro1/pop1/leaf/leaf8|metro5/pop1/leaf/leaf8|0", + "metro1/pop2/leaf/leaf11|metro2/pop2/leaf/leaf11|0", + "metro1/pop2/leaf/leaf4|metro5/pop2/leaf/leaf4|0", "metro1/pop2/leaf/leaf1|metro5/pop2/leaf/leaf1|0", + "metro1/pop2/leaf/leaf2|metro2/pop2/leaf/leaf2|0", + "metro1/pop2/leaf/leaf13|metro2/pop2/leaf/leaf13|0", + "metro1/pop2/leaf/leaf4|metro2/pop2/leaf/leaf4|0", + "metro1/pop1/leaf/leaf12|metro5/pop1/leaf/leaf12|0", + "metro1/pop1/leaf/leaf2|metro2/pop1/leaf/leaf2|0", + "metro1/pop2/leaf/leaf3|metro2/pop2/leaf/leaf3|0", + "metro1/pop2/leaf/leaf2|metro5/pop2/leaf/leaf2|0", + "metro1/pop2/leaf/leaf6|metro5/pop2/leaf/leaf6|0", "metro1/pop1/leaf/leaf15|metro2/pop1/leaf/leaf15|0", - "metro1/pop1/leaf/leaf11|metro5/pop1/leaf/leaf11|0", - "metro1/pop2/leaf/leaf13|metro5/pop2/leaf/leaf13|0", - "metro1/pop2/leaf/leaf12|metro5/pop2/leaf/leaf12|0", - "metro1/pop1/leaf/leaf5|metro5/pop1/leaf/leaf5|0", "metro1/pop1/leaf/leaf10|metro5/pop1/leaf/leaf10|0", - "metro1/pop2/leaf/leaf7|metro5/pop2/leaf/leaf7|0", - "metro1/pop1/leaf/leaf15|metro5/pop1/leaf/leaf15|0", - "metro1/pop1/leaf/leaf16|metro2/pop1/leaf/leaf16|0", - "metro1/pop2/leaf/leaf11|metro2/pop2/leaf/leaf11|0", - "metro1/pop2/leaf/leaf10|metro2/pop2/leaf/leaf10|0", - "metro1/pop2/leaf/leaf5|metro5/pop2/leaf/leaf5|0", + "metro1/pop1/leaf/leaf7|metro5/pop1/leaf/leaf7|0", + "metro1/pop2/leaf/leaf9|metro5/pop2/leaf/leaf9|0", + "metro1/pop2/leaf/leaf7|metro2/pop2/leaf/leaf7|0", "metro1/pop2/leaf/leaf6|metro2/pop2/leaf/leaf6|0", - "metro1/pop2/leaf/leaf16|metro2/pop2/leaf/leaf16|0", + "metro1/pop2/leaf/leaf13|metro5/pop2/leaf/leaf13|0", + "metro1/pop1/leaf/leaf2|metro5/pop1/leaf/leaf2|0", + "metro1/pop1/leaf/leaf14|metro2/pop1/leaf/leaf14|0", + "metro1/pop1/leaf/leaf9|metro5/pop1/leaf/leaf9|0", + "metro1/pop1/leaf/leaf4|metro5/pop1/leaf/leaf4|0", "metro1/pop2/leaf/leaf1|metro2/pop2/leaf/leaf1|0", - "metro1/pop2/leaf/leaf14|metro2/pop2/leaf/leaf14|0", - "metro1/pop2/leaf/leaf15|metro5/pop2/leaf/leaf15|0", - "metro1/pop2/leaf/leaf9|metro5/pop2/leaf/leaf9|0", - "metro1/pop1/leaf/leaf8|metro5/pop1/leaf/leaf8|0", - "metro1/pop1/leaf/leaf3|metro5/pop1/leaf/leaf3|0", - "metro1/pop2/leaf/leaf13|metro2/pop2/leaf/leaf13|0", - "metro1/pop2/leaf/leaf5|metro2/pop2/leaf/leaf5|0", "metro1/pop2/leaf/leaf9|metro2/pop2/leaf/leaf9|0", + "metro1/pop2/leaf/leaf10|metro5/pop2/leaf/leaf10|0", "metro1/pop1/leaf/leaf6|metro2/pop1/leaf/leaf6|0", + "metro1/pop2/leaf/leaf16|metro2/pop2/leaf/leaf16|0", + "metro1/pop2/leaf/leaf7|metro5/pop2/leaf/leaf7|0", + "metro1/pop1/leaf/leaf14|metro5/pop1/leaf/leaf14|0", + "metro1/pop1/leaf/leaf13|metro2/pop1/leaf/leaf13|0", + "metro1/pop1/leaf/leaf9|metro2/pop1/leaf/leaf9|0", + "metro1/pop2/leaf/leaf10|metro2/pop2/leaf/leaf10|0", + "metro1/pop1/leaf/leaf10|metro2/pop1/leaf/leaf10|0", + "metro1/pop1/leaf/leaf12|metro2/pop1/leaf/leaf12|0", + "metro1/pop2/leaf/leaf14|metro5/pop2/leaf/leaf14|0", + "metro1/pop1/leaf/leaf5|metro5/pop1/leaf/leaf5|0", + "metro1/pop1/leaf/leaf11|metro5/pop1/leaf/leaf11|0", + "metro1/pop2/leaf/leaf3|metro5/pop2/leaf/leaf3|0", + "metro1/pop1/leaf/leaf5|metro2/pop1/leaf/leaf5|0", "metro1/pop1/leaf/leaf3|metro2/pop1/leaf/leaf3|0", - "metro1/pop2/leaf/leaf4|metro5/pop2/leaf/leaf4|0", - "metro1/pop1/leaf/leaf1|metro2/pop1/leaf/leaf1|0", - "metro1/pop1/leaf/leaf16|metro5/pop1/leaf/leaf16|0", - "metro1/pop1/leaf/leaf4|metro5/pop1/leaf/leaf4|0", - "metro1/pop2/leaf/leaf7|metro2/pop2/leaf/leaf7|0" + "metro1/pop2/leaf/leaf15|metro5/pop2/leaf/leaf15|0", + "metro1/pop1/leaf/leaf8|metro2/pop1/leaf/leaf8|0", + "metro1/pop2/leaf/leaf12|metro2/pop2/leaf/leaf12|0", + "metro1/pop2/leaf/leaf8|metro2/pop2/leaf/leaf8|0" ] }, "failure_trace": null, @@ -6470,9 +6470,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro1/pop1/leaf/leaf9|metro1/dc1/dc/dc|0", "metro2/pop1/leaf/leaf12|metro2/dc1/dc/dc|0", - "metro2/pop1/leaf/leaf5|metro2/dc1/dc/dc|0" + "metro2/pop1/leaf/leaf5|metro2/dc1/dc/dc|0", + "metro1/pop1/leaf/leaf9|metro1/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -6577,10 +6577,10 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro2/pop2/leaf/leaf6|metro2/pop2/spine/spine3|0", + "metro1/pop2/leaf/leaf13|metro1/pop2/spine/spine4|0", "metro1/pop2/leaf/leaf14|metro1/pop2/spine/spine2|0", "metro5/pop1/leaf/leaf10|metro5/pop1/spine/spine2|0", - "metro1/pop2/leaf/leaf13|metro1/pop2/spine/spine4|0" + "metro2/pop2/leaf/leaf6|metro2/pop2/spine/spine3|0" ] }, "failure_trace": null, @@ -6679,9 +6679,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ + "metro1/pop2/leaf/leaf7|metro1/dc1/dc/dc|0", "metro1/pop2/leaf/leaf12|metro1/dc1/dc/dc|0", - "metro1/pop1/leaf/leaf12|metro1/dc1/dc/dc|0", - "metro1/pop2/leaf/leaf7|metro1/dc1/dc/dc|0" + "metro1/pop1/leaf/leaf12|metro1/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -6790,9 +6790,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro1/pop1/leaf/leaf9|metro1/dc1/dc/dc|0", "metro2/pop1/leaf/leaf3|metro2/dc1/dc/dc|0", - "metro5/pop2/leaf/leaf4|metro5/dc1/dc/dc|0" + "metro5/pop2/leaf/leaf4|metro5/dc1/dc/dc|0", + "metro1/pop1/leaf/leaf9|metro1/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -6903,8 +6903,8 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro5/pop2/leaf/leaf3|metro5/dc1/dc/dc|0", "metro1/pop1/leaf/leaf3|metro1/dc1/dc/dc|0", + "metro5/pop2/leaf/leaf3|metro5/dc1/dc/dc|0", "metro2/pop2/leaf/leaf11|metro2/dc1/dc/dc|0" ] }, @@ -7341,8 +7341,8 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro2/pop2/leaf/leaf16|metro2/dc1/dc/dc|0", "metro5/pop1/leaf/leaf10|metro5/dc1/dc/dc|0", + "metro2/pop2/leaf/leaf16|metro2/dc1/dc/dc|0", "metro5/pop1/leaf/leaf5|metro5/dc1/dc/dc|0" ] }, @@ -7453,8 +7453,8 @@ "excluded_nodes": [], "excluded_links": [ "metro2/pop2/leaf/leaf13|metro2/dc1/dc/dc|0", - "metro2/pop1/leaf/leaf2|metro2/dc1/dc/dc|0", - "metro5/pop2/leaf/leaf9|metro5/dc1/dc/dc|0" + "metro5/pop2/leaf/leaf9|metro5/dc1/dc/dc|0", + "metro2/pop1/leaf/leaf2|metro2/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -7565,9 +7565,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro5/pop2/leaf/leaf16|metro5/dc1/dc/dc|0", + "metro2/pop2/leaf/leaf12|metro2/dc1/dc/dc|0", "metro1/pop1/leaf/leaf15|metro1/dc1/dc/dc|0", - "metro2/pop2/leaf/leaf12|metro2/dc1/dc/dc|0" + "metro5/pop2/leaf/leaf16|metro5/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -7678,9 +7678,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ + "metro5/pop1/leaf/leaf5|metro5/dc1/dc/dc|0", "metro5/pop1/leaf/leaf8|metro5/dc1/dc/dc|0", - "metro1/pop2/leaf/leaf14|metro1/dc1/dc/dc|0", - "metro5/pop1/leaf/leaf5|metro5/dc1/dc/dc|0" + "metro1/pop2/leaf/leaf14|metro1/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -7787,9 +7787,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro5/pop2/leaf/leaf16|metro5/dc1/dc/dc|0", + "metro2/pop2/leaf/leaf14|metro2/dc1/dc/dc|0", "metro5/pop1/leaf/leaf3|metro5/dc1/dc/dc|0", - "metro2/pop2/leaf/leaf14|metro2/dc1/dc/dc|0" + "metro5/pop2/leaf/leaf16|metro5/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -7901,8 +7901,8 @@ "excluded_nodes": [], "excluded_links": [ "metro5/pop1/leaf/leaf11|metro5/dc1/dc/dc|0", - "metro5/pop1/leaf/leaf3|metro5/dc1/dc/dc|0", - "metro2/pop2/leaf/leaf11|metro2/dc1/dc/dc|0" + "metro2/pop2/leaf/leaf11|metro2/dc1/dc/dc|0", + "metro5/pop1/leaf/leaf3|metro5/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -8331,9 +8331,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro1/pop1/leaf/leaf8|metro1/dc1/dc/dc|0", "metro2/pop1/leaf/leaf3|metro2/dc1/dc/dc|0", - "metro2/pop2/leaf/leaf11|metro2/dc1/dc/dc|0" + "metro2/pop2/leaf/leaf11|metro2/dc1/dc/dc|0", + "metro1/pop1/leaf/leaf8|metro1/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -8750,8 +8750,8 @@ "excluded_nodes": [], "excluded_links": [ "metro5/pop1/leaf/leaf10|metro5/dc1/dc/dc|0", - "metro5/pop1/leaf/leaf6|metro5/dc1/dc/dc|0", - "metro5/pop2/leaf/leaf15|metro5/dc1/dc/dc|0" + "metro5/pop2/leaf/leaf15|metro5/dc1/dc/dc|0", + "metro5/pop1/leaf/leaf6|metro5/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -8959,9 +8959,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro5/pop1/leaf/leaf6|metro5/dc1/dc/dc|0", "metro5/pop1/leaf/leaf10|metro5/dc1/dc/dc|0", - "metro1/pop1/leaf/leaf4|metro1/dc1/dc/dc|0" + "metro1/pop1/leaf/leaf4|metro1/dc1/dc/dc|0", + "metro5/pop1/leaf/leaf6|metro5/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -9171,9 +9171,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro2/pop1/leaf/leaf6|metro2/dc1/dc/dc|0", + "metro5/pop1/leaf/leaf2|metro5/dc1/dc/dc|0", "metro5/pop1/leaf/leaf7|metro5/dc1/dc/dc|0", - "metro5/pop1/leaf/leaf2|metro5/dc1/dc/dc|0" + "metro2/pop1/leaf/leaf6|metro2/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -9382,8 +9382,8 @@ "excluded_nodes": [], "excluded_links": [ "metro2/pop2/leaf/leaf13|metro2/dc1/dc/dc|0", - "metro5/pop2/leaf/leaf16|metro5/dc1/dc/dc|0", - "metro1/pop2/leaf/leaf12|metro1/dc1/dc/dc|0" + "metro1/pop2/leaf/leaf12|metro1/dc1/dc/dc|0", + "metro5/pop2/leaf/leaf16|metro5/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -9603,9 +9603,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro5/pop2/leaf/leaf14|metro5/dc1/dc/dc|0", + "metro2/pop1/leaf/leaf1|metro2/dc1/dc/dc|0", "metro5/pop2/leaf/leaf8|metro5/dc1/dc/dc|0", - "metro2/pop1/leaf/leaf1|metro2/dc1/dc/dc|0" + "metro5/pop2/leaf/leaf14|metro5/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -9715,8 +9715,8 @@ "excluded_nodes": [], "excluded_links": [ "metro2/pop2/leaf/leaf7|metro2/dc1/dc/dc|0", - "metro1/pop1/leaf/leaf11|metro1/dc1/dc/dc|0", - "metro5/pop2/leaf/leaf3|metro5/dc1/dc/dc|0" + "metro5/pop2/leaf/leaf3|metro5/dc1/dc/dc|0", + "metro1/pop1/leaf/leaf11|metro1/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -10041,10 +10041,10 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro2/pop1/leaf/leaf14|metro2/pop1/spine/spine3|0", - "metro5/pop1/leaf/leaf16|metro5/pop1/spine/spine1|0", "metro2/pop1/leaf/leaf7|metro2/pop1/spine/spine2|0", - "metro1/pop2/leaf/leaf9|metro1/pop2/spine/spine2|0" + "metro5/pop1/leaf/leaf16|metro5/pop1/spine/spine1|0", + "metro1/pop2/leaf/leaf9|metro1/pop2/spine/spine2|0", + "metro2/pop1/leaf/leaf14|metro2/pop1/spine/spine3|0" ] }, "failure_trace": null, @@ -10246,8 +10246,8 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro2/pop1/leaf/leaf13|metro2/pop1/spine/spine2|0", "metro1/pop2/leaf/leaf3|metro1/pop2/spine/spine2|0", + "metro2/pop1/leaf/leaf13|metro2/pop1/spine/spine2|0", "metro1/pop1/leaf/leaf5|metro1/pop1/spine/spine1|0", "metro2/pop2/leaf/leaf1|metro2/pop2/spine/spine2|0" ] @@ -10348,10 +10348,10 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ + "metro1/pop2/leaf/leaf1|metro1/pop2/spine/spine2|0", "metro5/pop2/leaf/leaf4|metro5/pop2/spine/spine1|0", - "metro2/pop2/leaf/leaf14|metro2/pop2/spine/spine1|0", "metro2/pop1/leaf/leaf1|metro2/pop1/spine/spine2|0", - "metro1/pop2/leaf/leaf1|metro1/pop2/spine/spine2|0" + "metro2/pop2/leaf/leaf14|metro2/pop2/spine/spine1|0" ] }, "failure_trace": null, @@ -10450,10 +10450,10 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro5/pop1/leaf/leaf8|metro5/pop1/spine/spine1|0", - "metro5/pop2/leaf/leaf8|metro5/pop2/spine/spine1|0", "metro2/pop1/leaf/leaf14|metro2/pop1/spine/spine2|0", - "metro2/pop1/leaf/leaf4|metro2/pop1/spine/spine3|0" + "metro5/pop1/leaf/leaf8|metro5/pop1/spine/spine1|0", + "metro2/pop1/leaf/leaf4|metro2/pop1/spine/spine3|0", + "metro5/pop2/leaf/leaf8|metro5/pop2/spine/spine1|0" ] }, "failure_trace": null, @@ -10553,8 +10553,8 @@ "excluded_nodes": [], "excluded_links": [ "metro5/pop2/leaf/leaf11|metro5/dc1/dc/dc|0", - "metro1/pop1/leaf/leaf13|metro1/dc1/dc/dc|0", - "metro1/pop1/leaf/leaf2|metro1/dc1/dc/dc|0" + "metro1/pop1/leaf/leaf2|metro1/dc1/dc/dc|0", + "metro1/pop1/leaf/leaf13|metro1/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -10663,9 +10663,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ + "metro5/pop1/leaf/leaf4|metro5/dc1/dc/dc|0", "metro1/pop2/leaf/leaf16|metro1/dc1/dc/dc|0", - "metro1/pop1/leaf/leaf12|metro1/dc1/dc/dc|0", - "metro5/pop1/leaf/leaf4|metro5/dc1/dc/dc|0" + "metro1/pop1/leaf/leaf12|metro1/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -10775,9 +10775,9 @@ "excluded_nodes": [], "excluded_links": [ "metro5/pop1/leaf/leaf2|metro5/pop1/spine/spine4|0", - "metro2/pop2/leaf/leaf5|metro2/pop2/spine/spine4|0", + "metro5/pop1/leaf/leaf3|metro5/pop1/spine/spine3|0", "metro1/pop2/leaf/leaf13|metro1/pop2/spine/spine1|0", - "metro5/pop1/leaf/leaf3|metro5/pop1/spine/spine3|0" + "metro2/pop2/leaf/leaf5|metro2/pop2/spine/spine4|0" ] }, "failure_trace": null, @@ -10976,8 +10976,8 @@ "excluded_nodes": [], "excluded_links": [ "metro5/pop1/leaf/leaf12|metro5/pop1/spine/spine3|0", - "metro5/pop2/leaf/leaf14|metro5/pop2/spine/spine2|0", "metro1/pop2/leaf/leaf7|metro1/pop2/spine/spine3|0", + "metro5/pop2/leaf/leaf14|metro5/pop2/spine/spine2|0", "metro2/pop2/leaf/leaf16|metro2/pop2/spine/spine4|0" ] }, @@ -11077,9 +11077,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro5/pop2/leaf/leaf14|metro5/dc1/dc/dc|0", "metro2/pop1/leaf/leaf2|metro2/dc1/dc/dc|0", - "metro2/pop1/leaf/leaf8|metro2/dc1/dc/dc|0" + "metro2/pop1/leaf/leaf8|metro2/dc1/dc/dc|0", + "metro5/pop2/leaf/leaf14|metro5/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -11287,9 +11287,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ + "metro2/pop2/leaf/leaf3|metro2/dc1/dc/dc|0", "metro5/pop2/leaf/leaf5|metro5/dc1/dc/dc|0", - "metro1/pop1/leaf/leaf5|metro1/dc1/dc/dc|0", - "metro2/pop2/leaf/leaf3|metro2/dc1/dc/dc|0" + "metro1/pop1/leaf/leaf5|metro1/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -11400,9 +11400,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ + "metro5/pop1/leaf/leaf4|metro5/dc1/dc/dc|0", "metro5/pop2/leaf/leaf7|metro5/dc1/dc/dc|0", - "metro1/pop1/leaf/leaf12|metro1/dc1/dc/dc|0", - "metro5/pop1/leaf/leaf4|metro5/dc1/dc/dc|0" + "metro1/pop1/leaf/leaf12|metro1/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -11617,8 +11617,8 @@ "excluded_nodes": [], "excluded_links": [ "metro5/pop2/leaf/leaf11|metro5/dc1/dc/dc|0", - "metro2/pop2/leaf/leaf12|metro2/dc1/dc/dc|0", - "metro1/pop2/leaf/leaf2|metro1/dc1/dc/dc|0" + "metro1/pop2/leaf/leaf2|metro1/dc1/dc/dc|0", + "metro2/pop2/leaf/leaf12|metro2/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -11727,8 +11727,8 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro1/pop2/leaf/leaf10|metro1/dc1/dc/dc|0", "metro2/pop1/leaf/leaf8|metro2/dc1/dc/dc|0", + "metro1/pop2/leaf/leaf10|metro1/dc1/dc/dc|0", "metro2/pop1/leaf/leaf10|metro2/dc1/dc/dc|0" ] }, @@ -11940,9 +11940,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro2/pop2/leaf/leaf7|metro2/dc1/dc/dc|0", "metro2/pop1/leaf/leaf16|metro2/dc1/dc/dc|0", - "metro2/pop1/leaf/leaf10|metro2/dc1/dc/dc|0" + "metro2/pop1/leaf/leaf10|metro2/dc1/dc/dc|0", + "metro2/pop2/leaf/leaf7|metro2/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -12052,8 +12052,8 @@ "excluded_nodes": [], "excluded_links": [ "metro5/pop1/leaf/leaf4|metro5/dc1/dc/dc|0", - "metro1/pop1/leaf/leaf11|metro1/dc1/dc/dc|0", - "metro5/pop2/leaf/leaf9|metro5/dc1/dc/dc|0" + "metro5/pop2/leaf/leaf9|metro5/dc1/dc/dc|0", + "metro1/pop1/leaf/leaf11|metro1/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -12164,9 +12164,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ + "metro1/pop1/leaf/leaf8|metro1/dc1/dc/dc|0", "metro1/pop2/leaf/leaf7|metro1/dc1/dc/dc|0", - "metro5/pop1/leaf/leaf13|metro5/dc1/dc/dc|0", - "metro1/pop1/leaf/leaf8|metro1/dc1/dc/dc|0" + "metro5/pop1/leaf/leaf13|metro5/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -12275,8 +12275,8 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro1/pop2/leaf/leaf1|metro1/dc1/dc/dc|0", "metro2/pop2/leaf/leaf14|metro2/dc1/dc/dc|0", + "metro1/pop2/leaf/leaf1|metro1/dc1/dc/dc|0", "metro5/pop1/leaf/leaf8|metro5/dc1/dc/dc|0" ] }, @@ -12487,8 +12487,8 @@ "excluded_nodes": [], "excluded_links": [ "metro1/pop2/leaf/leaf10|metro1/dc1/dc/dc|0", - "metro5/pop1/leaf/leaf3|metro5/dc1/dc/dc|0", - "metro1/pop1/leaf/leaf1|metro1/dc1/dc/dc|0" + "metro1/pop1/leaf/leaf1|metro1/dc1/dc/dc|0", + "metro5/pop1/leaf/leaf3|metro5/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -12908,9 +12908,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro5/pop2/leaf/leaf16|metro5/dc1/dc/dc|0", "metro1/pop1/leaf/leaf1|metro1/dc1/dc/dc|0", - "metro2/pop1/leaf/leaf10|metro2/dc1/dc/dc|0" + "metro2/pop1/leaf/leaf10|metro2/dc1/dc/dc|0", + "metro5/pop2/leaf/leaf16|metro5/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -13021,9 +13021,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ + "metro1/pop1/leaf/leaf1|metro1/dc1/dc/dc|0", "metro2/pop2/leaf/leaf1|metro2/dc1/dc/dc|0", - "metro5/pop2/leaf/leaf6|metro5/dc1/dc/dc|0", - "metro1/pop1/leaf/leaf1|metro1/dc1/dc/dc|0" + "metro5/pop2/leaf/leaf6|metro5/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -13135,8 +13135,8 @@ "excluded_nodes": [], "excluded_links": [ "metro2/pop1/leaf/leaf3|metro2/dc1/dc/dc|0", - "metro5/pop2/leaf/leaf8|metro5/dc1/dc/dc|0", - "metro1/pop1/leaf/leaf1|metro1/dc1/dc/dc|0" + "metro1/pop1/leaf/leaf1|metro1/dc1/dc/dc|0", + "metro5/pop2/leaf/leaf8|metro5/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -13350,9 +13350,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ + "metro1/pop2/leaf/leaf5|metro1/dc1/dc/dc|0", "metro2/pop2/leaf/leaf8|metro2/dc1/dc/dc|0", - "metro1/pop1/leaf/leaf8|metro1/dc1/dc/dc|0", - "metro1/pop2/leaf/leaf5|metro1/dc1/dc/dc|0" + "metro1/pop1/leaf/leaf8|metro1/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -13767,10 +13767,10 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro2/pop1/leaf/leaf14|metro2/pop1/spine/spine1|0", - "metro2/pop2/leaf/leaf4|metro2/pop2/spine/spine3|0", "metro1/pop1/leaf/leaf9|metro1/pop1/spine/spine3|0", - "metro1/pop2/leaf/leaf5|metro1/pop2/spine/spine4|0" + "metro2/pop1/leaf/leaf14|metro2/pop1/spine/spine1|0", + "metro1/pop2/leaf/leaf5|metro1/pop2/spine/spine4|0", + "metro2/pop2/leaf/leaf4|metro2/pop2/spine/spine3|0" ] }, "failure_trace": null, @@ -13972,9 +13972,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ + "metro1/pop1/leaf/leaf1|metro1/dc1/dc/dc|0", "metro2/pop2/leaf/leaf12|metro2/dc1/dc/dc|0", - "metro1/pop2/leaf/leaf13|metro1/dc1/dc/dc|0", - "metro1/pop1/leaf/leaf1|metro1/dc1/dc/dc|0" + "metro1/pop2/leaf/leaf13|metro1/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -14187,9 +14187,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ + "metro5/pop1/leaf/leaf15|metro5/dc1/dc/dc|0", "metro2/pop2/leaf/leaf9|metro2/dc1/dc/dc|0", - "metro1/pop1/leaf/leaf9|metro1/dc1/dc/dc|0", - "metro5/pop1/leaf/leaf15|metro5/dc1/dc/dc|0" + "metro1/pop1/leaf/leaf9|metro1/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -14300,9 +14300,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro2/pop1/leaf/leaf7|metro2/dc1/dc/dc|0", + "metro5/pop1/leaf/leaf4|metro5/dc1/dc/dc|0", "metro2/pop1/leaf/leaf8|metro2/dc1/dc/dc|0", - "metro5/pop1/leaf/leaf4|metro5/dc1/dc/dc|0" + "metro2/pop1/leaf/leaf7|metro2/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -14409,8 +14409,8 @@ "excluded_links": [ "metro5/pop2/leaf/leaf2|metro5/pop2/spine/spine3|0", "metro1/pop1/leaf/leaf14|metro1/pop1/spine/spine4|0", - "metro5/pop2/leaf/leaf4|metro5/pop2/spine/spine4|0", - "metro2/pop2/leaf/leaf16|metro2/pop2/spine/spine1|0" + "metro2/pop2/leaf/leaf16|metro2/pop2/spine/spine1|0", + "metro5/pop2/leaf/leaf4|metro5/pop2/spine/spine4|0" ] }, "failure_trace": null, @@ -14612,9 +14612,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ + "metro5/pop2/leaf/leaf9|metro5/dc1/dc/dc|0", "metro1/pop2/leaf/leaf10|metro1/dc1/dc/dc|0", - "metro5/pop1/leaf/leaf12|metro5/dc1/dc/dc|0", - "metro5/pop2/leaf/leaf9|metro5/dc1/dc/dc|0" + "metro5/pop1/leaf/leaf12|metro5/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -14726,10 +14726,10 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro5/pop1/leaf/leaf15|metro5/pop1/spine/spine1|0", - "metro1/pop2/leaf/leaf9|metro1/pop2/spine/spine3|0", "metro2/pop1/leaf/leaf3|metro2/pop1/spine/spine1|0", - "metro5/pop2/leaf/leaf9|metro5/pop2/spine/spine3|0" + "metro5/pop2/leaf/leaf9|metro5/pop2/spine/spine3|0", + "metro5/pop1/leaf/leaf15|metro5/pop1/spine/spine1|0", + "metro1/pop2/leaf/leaf9|metro1/pop2/spine/spine3|0" ] }, "failure_trace": null, @@ -15035,8 +15035,8 @@ "excluded_nodes": [], "excluded_links": [ "metro5/pop1/leaf/leaf1|metro5/dc1/dc/dc|0", - "metro5/pop1/leaf/leaf16|metro5/dc1/dc/dc|0", - "metro1/pop1/leaf/leaf8|metro1/dc1/dc/dc|0" + "metro1/pop1/leaf/leaf8|metro1/dc1/dc/dc|0", + "metro5/pop1/leaf/leaf16|metro5/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -15143,9 +15143,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro1/pop2/leaf/leaf16|metro1/dc1/dc/dc|0", + "metro1/pop1/leaf/leaf1|metro1/dc1/dc/dc|0", "metro5/pop1/leaf/leaf7|metro5/dc1/dc/dc|0", - "metro1/pop1/leaf/leaf1|metro1/dc1/dc/dc|0" + "metro1/pop2/leaf/leaf16|metro1/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -15255,8 +15255,8 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro1/pop1/leaf/leaf7|metro1/dc1/dc/dc|0", "metro2/pop1/leaf/leaf13|metro2/dc1/dc/dc|0", + "metro1/pop1/leaf/leaf7|metro1/dc1/dc/dc|0", "metro1/pop1/leaf/leaf5|metro1/dc1/dc/dc|0" ] }, @@ -15362,9 +15362,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro5/pop2/leaf/leaf14|metro5/dc1/dc/dc|0", "metro1/pop2/leaf/leaf2|metro1/dc1/dc/dc|0", - "metro5/pop1/leaf/leaf15|metro5/dc1/dc/dc|0" + "metro5/pop1/leaf/leaf15|metro5/dc1/dc/dc|0", + "metro5/pop2/leaf/leaf14|metro5/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -15477,8 +15477,8 @@ "excluded_nodes": [], "excluded_links": [ "metro5/pop2/leaf/leaf11|metro5/dc1/dc/dc|0", - "metro1/pop1/leaf/leaf12|metro1/dc1/dc/dc|0", - "metro5/pop2/leaf/leaf10|metro5/dc1/dc/dc|0" + "metro5/pop2/leaf/leaf10|metro5/dc1/dc/dc|0", + "metro1/pop1/leaf/leaf12|metro1/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -15587,9 +15587,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro5/pop1/leaf/leaf7|metro5/dc1/dc/dc|0", "metro1/pop1/leaf/leaf4|metro1/dc1/dc/dc|0", - "metro2/pop1/leaf/leaf1|metro2/dc1/dc/dc|0" + "metro2/pop1/leaf/leaf1|metro2/dc1/dc/dc|0", + "metro5/pop1/leaf/leaf7|metro5/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -15695,8 +15695,8 @@ "excluded_nodes": [], "excluded_links": [ "metro2/pop2/leaf/leaf14|metro2/dc1/dc/dc|0", - "metro2/pop1/leaf/leaf13|metro2/dc1/dc/dc|0", - "metro5/pop2/leaf/leaf6|metro5/dc1/dc/dc|0" + "metro5/pop2/leaf/leaf6|metro5/dc1/dc/dc|0", + "metro2/pop1/leaf/leaf13|metro2/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -16013,10 +16013,10 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ + "metro1/pop1/leaf/leaf13|metro1/pop1/spine/spine1|0", "metro5/pop1/leaf/leaf7|metro5/pop1/spine/spine1|0", "metro2/pop1/leaf/leaf6|metro2/pop1/spine/spine1|0", - "metro1/pop2/leaf/leaf7|metro1/pop2/spine/spine3|0", - "metro1/pop1/leaf/leaf13|metro1/pop1/spine/spine1|0" + "metro1/pop2/leaf/leaf7|metro1/pop2/spine/spine3|0" ] }, "failure_trace": null, @@ -16218,10 +16218,10 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro5/pop1/leaf/leaf5|metro5/pop1/spine/spine1|0", "metro2/pop1/leaf/leaf13|metro2/pop1/spine/spine1|0", - "metro2/pop1/leaf/leaf1|metro2/pop1/spine/spine2|0", - "metro2/pop2/leaf/leaf16|metro2/pop2/spine/spine1|0" + "metro5/pop1/leaf/leaf5|metro5/pop1/spine/spine1|0", + "metro2/pop2/leaf/leaf16|metro2/pop2/spine/spine1|0", + "metro2/pop1/leaf/leaf1|metro2/pop1/spine/spine2|0" ] }, "failure_trace": null, @@ -16320,8 +16320,8 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro2/pop2/leaf/leaf1|metro2/dc1/dc/dc|0", "metro5/pop2/leaf/leaf1|metro5/dc1/dc/dc|0", + "metro2/pop2/leaf/leaf1|metro2/dc1/dc/dc|0", "metro1/pop1/leaf/leaf11|metro1/dc1/dc/dc|0" ] }, @@ -16740,10 +16740,10 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro1/pop1/leaf/leaf2|metro1/pop1/spine/spine2|0", "metro1/pop2/leaf/leaf3|metro1/pop2/spine/spine2|0", + "metro5/pop1/leaf/leaf16|metro5/pop1/spine/spine4|0", "metro2/pop1/leaf/leaf13|metro2/pop1/spine/spine2|0", - "metro5/pop1/leaf/leaf16|metro5/pop1/spine/spine4|0" + "metro1/pop1/leaf/leaf2|metro1/pop1/spine/spine2|0" ] }, "failure_trace": null, @@ -16843,9 +16843,9 @@ "excluded_nodes": [], "excluded_links": [ "metro1/pop2/leaf/leaf12|metro1/pop2/spine/spine3|0", - "metro1/pop2/leaf/leaf10|metro1/pop2/spine/spine2|0", + "metro1/pop2/leaf/leaf8|metro1/pop2/spine/spine2|0", "metro2/pop2/leaf/leaf13|metro2/pop2/spine/spine2|0", - "metro1/pop2/leaf/leaf8|metro1/pop2/spine/spine2|0" + "metro1/pop2/leaf/leaf10|metro1/pop2/spine/spine2|0" ] }, "failure_trace": null, @@ -16944,9 +16944,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ + "metro2/pop1/leaf/leaf12|metro2/dc1/dc/dc|0", "metro1/pop2/leaf/leaf1|metro1/dc1/dc/dc|0", - "metro1/pop1/leaf/leaf15|metro1/dc1/dc/dc|0", - "metro2/pop1/leaf/leaf12|metro2/dc1/dc/dc|0" + "metro1/pop1/leaf/leaf15|metro1/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -17376,9 +17376,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro1/pop1/leaf/leaf9|metro1/dc1/dc/dc|0", "metro1/pop2/leaf/leaf16|metro1/dc1/dc/dc|0", - "metro1/pop2/leaf/leaf8|metro1/dc1/dc/dc|0" + "metro1/pop2/leaf/leaf8|metro1/dc1/dc/dc|0", + "metro1/pop1/leaf/leaf9|metro1/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -17485,9 +17485,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro2/pop2/leaf/leaf6|metro2/dc1/dc/dc|0", "metro5/pop1/leaf/leaf10|metro5/dc1/dc/dc|0", - "metro1/pop1/leaf/leaf1|metro1/dc1/dc/dc|0" + "metro1/pop1/leaf/leaf1|metro1/dc1/dc/dc|0", + "metro2/pop2/leaf/leaf6|metro2/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -17601,8 +17601,8 @@ "excluded_nodes": [], "excluded_links": [ "metro2/pop2/leaf/leaf2|metro2/dc1/dc/dc|0", - "metro5/pop2/leaf/leaf4|metro5/dc1/dc/dc|0", - "metro2/pop1/leaf/leaf11|metro2/dc1/dc/dc|0" + "metro2/pop1/leaf/leaf11|metro2/dc1/dc/dc|0", + "metro5/pop2/leaf/leaf4|metro5/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -17713,10 +17713,10 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro2/pop2/leaf/leaf10|metro2/pop2/spine/spine4|0", + "metro5/pop1/leaf/leaf10|metro5/pop1/spine/spine4|0", "metro1/pop1/leaf/leaf1|metro1/pop1/spine/spine3|0", - "metro1/pop2/leaf/leaf7|metro1/pop2/spine/spine3|0", - "metro5/pop1/leaf/leaf10|metro5/pop1/spine/spine4|0" + "metro2/pop2/leaf/leaf10|metro2/pop2/spine/spine4|0", + "metro1/pop2/leaf/leaf7|metro1/pop2/spine/spine3|0" ] }, "failure_trace": null, @@ -17815,10 +17815,10 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro5/pop1/leaf/leaf8|metro5/pop1/spine/spine1|0", + "metro1/pop1/leaf/leaf4|metro1/pop1/spine/spine1|0", "metro5/pop1/leaf/leaf16|metro5/pop1/spine/spine1|0", - "metro2/pop2/leaf/leaf5|metro2/pop2/spine/spine4|0", - "metro1/pop1/leaf/leaf4|metro1/pop1/spine/spine1|0" + "metro5/pop1/leaf/leaf8|metro5/pop1/spine/spine1|0", + "metro2/pop2/leaf/leaf5|metro2/pop2/spine/spine4|0" ] }, "failure_trace": null, @@ -17918,8 +17918,8 @@ "excluded_nodes": [], "excluded_links": [ "metro2/pop2/leaf/leaf13|metro2/dc1/dc/dc|0", - "metro2/pop1/leaf/leaf3|metro2/dc1/dc/dc|0", - "metro1/pop2/leaf/leaf2|metro1/dc1/dc/dc|0" + "metro1/pop2/leaf/leaf2|metro1/dc1/dc/dc|0", + "metro2/pop1/leaf/leaf3|metro2/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -18230,8 +18230,8 @@ "excluded_nodes": [], "excluded_links": [ "metro2/pop1/leaf/leaf16|metro2/dc1/dc/dc|0", - "metro1/pop2/leaf/leaf16|metro1/dc1/dc/dc|0", - "metro2/pop2/leaf/leaf5|metro2/dc1/dc/dc|0" + "metro2/pop2/leaf/leaf5|metro2/dc1/dc/dc|0", + "metro1/pop2/leaf/leaf16|metro1/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -18343,9 +18343,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro2/pop2/leaf/leaf9|metro2/dc1/dc/dc|0", "metro5/pop1/leaf/leaf15|metro5/dc1/dc/dc|0", - "metro1/pop2/leaf/leaf13|metro1/dc1/dc/dc|0" + "metro1/pop2/leaf/leaf13|metro1/dc1/dc/dc|0", + "metro2/pop2/leaf/leaf9|metro2/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -18455,9 +18455,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro1/pop2/leaf/leaf15|metro1/dc1/dc/dc|0", "metro2/pop1/leaf/leaf4|metro2/dc1/dc/dc|0", - "metro2/pop1/leaf/leaf2|metro2/dc1/dc/dc|0" + "metro2/pop1/leaf/leaf2|metro2/dc1/dc/dc|0", + "metro1/pop2/leaf/leaf15|metro1/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -18567,8 +18567,8 @@ "excluded_nodes": [], "excluded_links": [ "metro1/pop1/leaf/leaf7|metro1/dc1/dc/dc|0", - "metro2/pop2/leaf/leaf5|metro2/dc1/dc/dc|0", - "metro1/pop2/leaf/leaf6|metro1/dc1/dc/dc|0" + "metro1/pop2/leaf/leaf6|metro1/dc1/dc/dc|0", + "metro2/pop2/leaf/leaf5|metro2/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -18679,8 +18679,8 @@ "excluded_nodes": [], "excluded_links": [ "metro1/pop1/leaf/leaf10|metro1/dc1/dc/dc|0", - "metro5/pop2/leaf/leaf14|metro5/dc1/dc/dc|0", - "metro5/pop2/leaf/leaf9|metro5/dc1/dc/dc|0" + "metro5/pop2/leaf/leaf9|metro5/dc1/dc/dc|0", + "metro5/pop2/leaf/leaf14|metro5/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -18789,9 +18789,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro5/pop1/leaf/leaf1|metro5/pop1/spine/spine3|0", - "metro1/pop1/leaf/leaf5|metro1/pop1/spine/spine1|0", "metro1/pop1/leaf/leaf3|metro1/pop1/spine/spine4|0", + "metro1/pop1/leaf/leaf5|metro1/pop1/spine/spine1|0", + "metro5/pop1/leaf/leaf1|metro5/pop1/spine/spine3|0", "metro2/pop2/leaf/leaf1|metro2/pop2/spine/spine4|0" ] }, @@ -18891,8 +18891,8 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro1/pop2/leaf/leaf12|metro1/dc1/dc/dc|0", "metro1/pop1/leaf/leaf7|metro1/dc1/dc/dc|0", + "metro1/pop2/leaf/leaf12|metro1/dc1/dc/dc|0", "metro2/pop1/leaf/leaf7|metro2/dc1/dc/dc|0" ] }, @@ -19002,10 +19002,10 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro2/pop1/leaf/leaf16|metro2/pop1/spine/spine3|0", - "metro2/pop1/leaf/leaf6|metro2/pop1/spine/spine1|0", + "metro5/pop1/leaf/leaf14|metro5/pop1/spine/spine1|0", "metro5/pop1/leaf/leaf16|metro5/pop1/spine/spine1|0", - "metro5/pop1/leaf/leaf14|metro5/pop1/spine/spine1|0" + "metro2/pop1/leaf/leaf16|metro2/pop1/spine/spine3|0", + "metro2/pop1/leaf/leaf6|metro2/pop1/spine/spine1|0" ] }, "failure_trace": null, @@ -19104,9 +19104,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro1/pop1/leaf/leaf12|metro1/dc1/dc/dc|0", "metro2/pop1/leaf/leaf11|metro2/dc1/dc/dc|0", - "metro5/pop2/leaf/leaf12|metro5/dc1/dc/dc|0" + "metro5/pop2/leaf/leaf12|metro5/dc1/dc/dc|0", + "metro1/pop1/leaf/leaf12|metro1/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -19218,8 +19218,8 @@ "excluded_nodes": [], "excluded_links": [ "metro5/pop1/leaf/leaf1|metro5/dc1/dc/dc|0", - "metro1/pop2/leaf/leaf12|metro1/dc1/dc/dc|0", - "metro5/pop2/leaf/leaf3|metro5/dc1/dc/dc|0" + "metro5/pop2/leaf/leaf3|metro5/dc1/dc/dc|0", + "metro1/pop2/leaf/leaf12|metro1/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -19331,10 +19331,10 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro1/pop1/leaf/leaf1|metro1/pop1/spine/spine4|0", - "metro2/pop2/leaf/leaf4|metro2/pop2/spine/spine4|0", + "metro5/pop2/leaf/leaf10|metro5/pop2/spine/spine2|0", "metro2/pop2/leaf/leaf2|metro2/pop2/spine/spine1|0", - "metro5/pop2/leaf/leaf10|metro5/pop2/spine/spine2|0" + "metro1/pop1/leaf/leaf1|metro1/pop1/spine/spine4|0", + "metro2/pop2/leaf/leaf4|metro2/pop2/spine/spine4|0" ] }, "failure_trace": null, @@ -19734,9 +19734,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro5/pop2/leaf/leaf16|metro5/dc1/dc/dc|0", "metro2/pop1/leaf/leaf4|metro2/dc1/dc/dc|0", - "metro5/pop1/leaf/leaf15|metro5/dc1/dc/dc|0" + "metro5/pop1/leaf/leaf15|metro5/dc1/dc/dc|0", + "metro5/pop2/leaf/leaf16|metro5/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -19950,9 +19950,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro1/pop2/leaf/leaf16|metro1/dc1/dc/dc|0", "metro1/pop1/leaf/leaf2|metro1/dc1/dc/dc|0", - "metro5/pop1/leaf/leaf8|metro5/dc1/dc/dc|0" + "metro5/pop1/leaf/leaf8|metro5/dc1/dc/dc|0", + "metro1/pop2/leaf/leaf16|metro1/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -20164,9 +20164,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro1/pop1/leaf/leaf11|metro1/dc1/dc/dc|0", "metro5/pop1/leaf/leaf14|metro5/dc1/dc/dc|0", - "metro5/pop2/leaf/leaf12|metro5/dc1/dc/dc|0" + "metro5/pop2/leaf/leaf12|metro5/dc1/dc/dc|0", + "metro1/pop1/leaf/leaf11|metro1/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -20279,8 +20279,8 @@ "excluded_links": [ "metro1/pop2/leaf/leaf13|metro1/pop2/spine/spine4|0", "metro1/pop1/leaf/leaf14|metro1/pop1/spine/spine4|0", - "metro2/pop1/leaf/leaf8|metro2/pop1/spine/spine3|0", - "metro2/pop2/leaf/leaf8|metro2/pop2/spine/spine1|0" + "metro2/pop2/leaf/leaf8|metro2/pop2/spine/spine1|0", + "metro2/pop1/leaf/leaf8|metro2/pop1/spine/spine3|0" ] }, "failure_trace": null, @@ -20482,9 +20482,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ + "metro1/pop2/leaf/leaf5|metro1/dc1/dc/dc|0", "metro2/pop2/leaf/leaf4|metro2/dc1/dc/dc|0", - "metro2/pop2/leaf/leaf1|metro2/dc1/dc/dc|0", - "metro1/pop2/leaf/leaf5|metro1/dc1/dc/dc|0" + "metro2/pop2/leaf/leaf1|metro2/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -20592,8 +20592,8 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro2/pop1/leaf/leaf3|metro2/dc1/dc/dc|0", "metro2/pop1/leaf/leaf13|metro2/dc1/dc/dc|0", + "metro2/pop1/leaf/leaf3|metro2/dc1/dc/dc|0", "metro5/pop2/leaf/leaf2|metro5/dc1/dc/dc|0" ] }, @@ -20807,8 +20807,8 @@ "excluded_nodes": [], "excluded_links": [ "metro2/pop2/leaf/leaf3|metro2/dc1/dc/dc|0", - "metro1/pop1/leaf/leaf5|metro1/dc1/dc/dc|0", - "metro1/pop1/leaf/leaf6|metro1/dc1/dc/dc|0" + "metro1/pop1/leaf/leaf6|metro1/dc1/dc/dc|0", + "metro1/pop1/leaf/leaf5|metro1/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -20917,9 +20917,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro1/pop2/leaf/leaf16|metro1/dc1/dc/dc|0", + "metro2/pop1/leaf/leaf9|metro2/dc1/dc/dc|0", "metro5/pop1/leaf/leaf12|metro5/dc1/dc/dc|0", - "metro2/pop1/leaf/leaf9|metro2/dc1/dc/dc|0" + "metro1/pop2/leaf/leaf16|metro1/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -21131,9 +21131,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro2/pop2/leaf/leaf8|metro2/dc1/dc/dc|0", + "metro5/pop1/leaf/leaf2|metro5/dc1/dc/dc|0", "metro5/pop1/leaf/leaf15|metro5/dc1/dc/dc|0", - "metro5/pop1/leaf/leaf2|metro5/dc1/dc/dc|0" + "metro2/pop2/leaf/leaf8|metro2/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -21242,9 +21242,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ + "metro1/pop2/leaf/leaf11|metro1/dc1/dc/dc|0", "metro2/pop1/leaf/leaf15|metro2/dc1/dc/dc|0", - "metro5/pop2/leaf/leaf7|metro5/dc1/dc/dc|0", - "metro1/pop2/leaf/leaf11|metro1/dc1/dc/dc|0" + "metro5/pop2/leaf/leaf7|metro5/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -21358,9 +21358,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro5/pop1/leaf/leaf9|metro5/dc1/dc/dc|0", "metro5/pop1/leaf/leaf5|metro5/dc1/dc/dc|0", - "metro2/pop1/leaf/leaf10|metro2/dc1/dc/dc|0" + "metro2/pop1/leaf/leaf10|metro2/dc1/dc/dc|0", + "metro5/pop1/leaf/leaf9|metro5/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -21576,10 +21576,10 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro2/pop2/leaf/leaf12|metro2/pop2/spine/spine1|0", - "metro5/pop1/leaf/leaf11|metro5/pop1/spine/spine4|0", "metro1/pop2/leaf/leaf9|metro1/pop2/spine/spine4|0", - "metro2/pop2/leaf/leaf13|metro2/pop2/spine/spine2|0" + "metro2/pop2/leaf/leaf13|metro2/pop2/spine/spine2|0", + "metro5/pop1/leaf/leaf11|metro5/pop1/spine/spine4|0", + "metro2/pop2/leaf/leaf12|metro2/pop2/spine/spine1|0" ] }, "failure_trace": null, @@ -21678,8 +21678,8 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro1/pop2/leaf/leaf10|metro1/dc1/dc/dc|0", "metro2/pop2/leaf/leaf13|metro2/dc1/dc/dc|0", + "metro1/pop2/leaf/leaf10|metro1/dc1/dc/dc|0", "metro5/pop2/leaf/leaf8|metro5/dc1/dc/dc|0" ] }, @@ -21789,9 +21789,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ + "metro5/pop1/leaf/leaf10|metro5/dc1/dc/dc|0", "metro1/pop2/leaf/leaf2|metro1/dc1/dc/dc|0", - "metro2/pop1/leaf/leaf7|metro2/dc1/dc/dc|0", - "metro5/pop1/leaf/leaf10|metro5/dc1/dc/dc|0" + "metro2/pop1/leaf/leaf7|metro2/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -22012,8 +22012,8 @@ "excluded_nodes": [], "excluded_links": [ "metro2/pop2/leaf/leaf2|metro2/pop2/spine/spine3|0", - "metro5/pop2/leaf/leaf8|metro5/pop2/spine/spine3|0", "metro5/pop2/leaf/leaf3|metro5/pop2/spine/spine1|0", + "metro5/pop2/leaf/leaf8|metro5/pop2/spine/spine3|0", "metro1/pop1/leaf/leaf16|metro1/pop1/spine/spine3|0" ] }, @@ -22216,9 +22216,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro2/pop1/leaf/leaf7|metro2/dc1/dc/dc|0", + "metro2/pop1/leaf/leaf16|metro2/dc1/dc/dc|0", "metro5/pop1/leaf/leaf3|metro5/dc1/dc/dc|0", - "metro2/pop1/leaf/leaf16|metro2/dc1/dc/dc|0" + "metro2/pop1/leaf/leaf7|metro2/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -22323,9 +22323,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro1/pop1/leaf/leaf9|metro1/dc1/dc/dc|0", "metro5/pop1/leaf/leaf10|metro5/dc1/dc/dc|0", - "metro1/pop1/leaf/leaf6|metro1/dc1/dc/dc|0" + "metro1/pop1/leaf/leaf6|metro1/dc1/dc/dc|0", + "metro1/pop1/leaf/leaf9|metro1/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -22431,8 +22431,8 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro5/pop1/leaf/leaf7|metro5/dc1/dc/dc|0", "metro5/pop1/leaf/leaf2|metro5/dc1/dc/dc|0", + "metro5/pop1/leaf/leaf7|metro5/dc1/dc/dc|0", "metro5/pop2/leaf/leaf2|metro5/dc1/dc/dc|0" ] }, @@ -22643,9 +22643,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro5/pop2/leaf/leaf12|metro5/dc1/dc/dc|0", + "metro5/pop1/leaf/leaf4|metro5/dc1/dc/dc|0", "metro1/pop1/leaf/leaf8|metro1/dc1/dc/dc|0", - "metro5/pop1/leaf/leaf4|metro5/dc1/dc/dc|0" + "metro5/pop2/leaf/leaf12|metro5/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -22756,9 +22756,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro1/pop2/leaf/leaf10|metro1/dc1/dc/dc|0", "metro2/pop2/leaf/leaf2|metro2/dc1/dc/dc|0", - "metro5/pop1/leaf/leaf2|metro5/dc1/dc/dc|0" + "metro5/pop1/leaf/leaf2|metro5/dc1/dc/dc|0", + "metro1/pop2/leaf/leaf10|metro1/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -22868,9 +22868,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro2/pop1/leaf/leaf7|metro2/dc1/dc/dc|0", + "metro5/pop1/leaf/leaf4|metro5/dc1/dc/dc|0", "metro2/pop1/leaf/leaf1|metro2/dc1/dc/dc|0", - "metro5/pop1/leaf/leaf4|metro5/dc1/dc/dc|0" + "metro2/pop1/leaf/leaf7|metro2/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -23181,8 +23181,8 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro5/pop1/leaf/leaf14|metro5/dc1/dc/dc|0", "metro1/pop1/leaf/leaf2|metro1/dc1/dc/dc|0", + "metro5/pop1/leaf/leaf14|metro5/dc1/dc/dc|0", "metro5/pop2/leaf/leaf12|metro5/dc1/dc/dc|0" ] }, @@ -23294,8 +23294,8 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro5/pop1/leaf/leaf11|metro5/dc1/dc/dc|0", "metro2/pop1/leaf/leaf4|metro2/dc1/dc/dc|0", + "metro5/pop1/leaf/leaf11|metro5/dc1/dc/dc|0", "metro2/pop2/leaf/leaf11|metro2/dc1/dc/dc|0" ] }, @@ -23406,9 +23406,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro5/pop1/leaf/leaf6|metro5/dc1/dc/dc|0", "metro5/pop1/leaf/leaf3|metro5/dc1/dc/dc|0", - "metro2/pop1/leaf/leaf5|metro2/dc1/dc/dc|0" + "metro2/pop1/leaf/leaf5|metro2/dc1/dc/dc|0", + "metro5/pop1/leaf/leaf6|metro5/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -23513,10 +23513,10 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro2/pop2/leaf/leaf8|metro2/pop2/spine/spine3|0", - "metro1/pop1/leaf/leaf3|metro1/pop1/spine/spine3|0", "metro5/pop2/leaf/leaf6|metro5/pop2/spine/spine3|0", - "metro1/pop1/leaf/leaf8|metro1/pop1/spine/spine2|0" + "metro2/pop2/leaf/leaf8|metro2/pop2/spine/spine3|0", + "metro1/pop1/leaf/leaf8|metro1/pop1/spine/spine2|0", + "metro1/pop1/leaf/leaf3|metro1/pop1/spine/spine3|0" ] }, "failure_trace": null, @@ -23615,9 +23615,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro2/pop1/leaf/leaf7|metro2/dc1/dc/dc|0", "metro2/pop2/leaf/leaf2|metro2/dc1/dc/dc|0", - "metro5/pop1/leaf/leaf12|metro5/dc1/dc/dc|0" + "metro5/pop1/leaf/leaf12|metro5/dc1/dc/dc|0", + "metro2/pop1/leaf/leaf7|metro2/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -23728,8 +23728,8 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro1/pop2/leaf/leaf10|metro1/dc1/dc/dc|0", "metro2/pop2/leaf/leaf3|metro2/dc1/dc/dc|0", + "metro1/pop2/leaf/leaf10|metro1/dc1/dc/dc|0", "metro2/pop2/leaf/leaf5|metro2/dc1/dc/dc|0" ] }, @@ -23938,8 +23938,8 @@ "excluded_nodes": [], "excluded_links": [ "metro5/pop2/leaf/leaf1|metro5/dc1/dc/dc|0", - "metro1/pop2/leaf/leaf2|metro1/dc1/dc/dc|0", - "metro2/pop1/leaf/leaf8|metro2/dc1/dc/dc|0" + "metro2/pop1/leaf/leaf8|metro2/dc1/dc/dc|0", + "metro1/pop2/leaf/leaf2|metro1/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -24053,9 +24053,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro2/pop1/leaf/leaf6|metro2/dc1/dc/dc|0", + "metro2/pop2/leaf/leaf16|metro2/dc1/dc/dc|0", "metro1/pop1/leaf/leaf5|metro1/dc1/dc/dc|0", - "metro2/pop2/leaf/leaf16|metro2/dc1/dc/dc|0" + "metro2/pop1/leaf/leaf6|metro2/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -24166,10 +24166,10 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro5/pop2/leaf/leaf6|metro5/pop2/spine/spine2|0", - "metro1/pop1/leaf/leaf16|metro1/pop1/spine/spine3|0", "metro2/pop2/leaf/leaf9|metro2/pop2/spine/spine1|0", - "metro1/pop2/leaf/leaf15|metro1/pop2/spine/spine4|0" + "metro1/pop2/leaf/leaf15|metro1/pop2/spine/spine4|0", + "metro5/pop2/leaf/leaf6|metro5/pop2/spine/spine2|0", + "metro1/pop1/leaf/leaf16|metro1/pop1/spine/spine3|0" ] }, "failure_trace": null, @@ -24268,9 +24268,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro1/pop2/leaf/leaf10|metro1/dc1/dc/dc|0", + "metro1/pop1/leaf/leaf8|metro1/dc1/dc/dc|0", "metro5/pop1/leaf/leaf15|metro5/dc1/dc/dc|0", - "metro1/pop1/leaf/leaf8|metro1/dc1/dc/dc|0" + "metro1/pop2/leaf/leaf10|metro1/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -24379,9 +24379,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ + "metro1/pop1/leaf/leaf2|metro1/dc1/dc/dc|0", "metro2/pop1/leaf/leaf12|metro2/dc1/dc/dc|0", - "metro5/pop2/leaf/leaf6|metro5/dc1/dc/dc|0", - "metro1/pop1/leaf/leaf2|metro1/dc1/dc/dc|0" + "metro5/pop2/leaf/leaf6|metro5/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -24493,8 +24493,8 @@ "excluded_nodes": [], "excluded_links": [ "metro1/pop1/leaf/leaf9|metro1/dc1/dc/dc|0", - "metro5/pop1/leaf/leaf6|metro5/dc1/dc/dc|0", - "metro1/pop2/leaf/leaf13|metro1/dc1/dc/dc|0" + "metro1/pop2/leaf/leaf13|metro1/dc1/dc/dc|0", + "metro5/pop1/leaf/leaf6|metro5/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -24805,9 +24805,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ + "metro1/pop2/leaf/leaf5|metro1/dc1/dc/dc|0", "metro1/pop1/leaf/leaf14|metro1/dc1/dc/dc|0", - "metro5/pop1/leaf/leaf9|metro5/dc1/dc/dc|0", - "metro1/pop2/leaf/leaf5|metro1/dc1/dc/dc|0" + "metro5/pop1/leaf/leaf9|metro5/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -24916,9 +24916,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ + "metro5/pop1/leaf/leaf4|metro5/dc1/dc/dc|0", "metro2/pop2/leaf/leaf13|metro2/dc1/dc/dc|0", - "metro5/pop2/leaf/leaf4|metro5/dc1/dc/dc|0", - "metro5/pop1/leaf/leaf4|metro5/dc1/dc/dc|0" + "metro5/pop2/leaf/leaf4|metro5/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -25029,9 +25029,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro5/pop2/leaf/leaf14|metro5/dc1/dc/dc|0", "metro2/pop1/leaf/leaf4|metro2/dc1/dc/dc|0", - "metro2/pop1/leaf/leaf1|metro2/dc1/dc/dc|0" + "metro2/pop1/leaf/leaf1|metro2/dc1/dc/dc|0", + "metro5/pop2/leaf/leaf14|metro5/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -25140,8 +25140,8 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro2/pop1/leaf/leaf6|metro2/dc1/dc/dc|0", "metro5/pop2/leaf/leaf11|metro5/dc1/dc/dc|0", + "metro2/pop1/leaf/leaf6|metro2/dc1/dc/dc|0", "metro1/pop2/leaf/leaf11|metro1/dc1/dc/dc|0" ] }, @@ -25256,8 +25256,8 @@ "excluded_nodes": [], "excluded_links": [ "metro5/pop2/leaf/leaf16|metro5/dc1/dc/dc|0", - "metro1/pop2/leaf/leaf9|metro1/dc1/dc/dc|0", - "metro1/pop2/leaf/leaf5|metro1/dc1/dc/dc|0" + "metro1/pop2/leaf/leaf5|metro1/dc1/dc/dc|0", + "metro1/pop2/leaf/leaf9|metro1/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -25368,8 +25368,8 @@ "excluded_nodes": [], "excluded_links": [ "metro2/pop2/leaf/leaf14|metro2/dc1/dc/dc|0", - "metro5/pop2/leaf/leaf8|metro5/dc1/dc/dc|0", - "metro5/pop1/leaf/leaf2|metro5/dc1/dc/dc|0" + "metro5/pop1/leaf/leaf2|metro5/dc1/dc/dc|0", + "metro5/pop2/leaf/leaf8|metro5/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -25480,9 +25480,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro1/pop1/leaf/leaf9|metro1/dc1/dc/dc|0", + "metro5/pop1/leaf/leaf16|metro5/dc1/dc/dc|0", "metro2/pop2/leaf/leaf12|metro2/dc1/dc/dc|0", - "metro5/pop1/leaf/leaf16|metro5/dc1/dc/dc|0" + "metro1/pop1/leaf/leaf9|metro1/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -25593,9 +25593,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro1/pop1/leaf/leaf9|metro1/dc1/dc/dc|0", + "metro5/pop1/leaf/leaf2|metro5/dc1/dc/dc|0", "metro5/pop1/leaf/leaf6|metro5/dc1/dc/dc|0", - "metro5/pop1/leaf/leaf2|metro5/dc1/dc/dc|0" + "metro1/pop1/leaf/leaf9|metro1/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -25814,9 +25814,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro2/pop2/leaf/leaf9|metro2/dc1/dc/dc|0", "metro2/pop1/leaf/leaf14|metro2/dc1/dc/dc|0", - "metro2/pop2/leaf/leaf10|metro2/dc1/dc/dc|0" + "metro2/pop2/leaf/leaf10|metro2/dc1/dc/dc|0", + "metro2/pop2/leaf/leaf9|metro2/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -26036,9 +26036,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro2/pop1/leaf/leaf7|metro2/pop1/spine/spine4|0", - "metro2/pop2/leaf/leaf2|metro2/pop2/spine/spine3|0", "metro1/pop1/leaf/leaf1|metro1/pop1/spine/spine2|0", + "metro2/pop2/leaf/leaf2|metro2/pop2/spine/spine3|0", + "metro2/pop1/leaf/leaf7|metro2/pop1/spine/spine4|0", "metro5/pop1/leaf/leaf8|metro5/pop1/spine/spine4|0" ] }, @@ -26241,9 +26241,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro1/pop1/leaf/leaf11|metro1/dc1/dc/dc|0", "metro5/pop1/leaf/leaf3|metro5/dc1/dc/dc|0", - "metro5/pop2/leaf/leaf13|metro5/dc1/dc/dc|0" + "metro5/pop2/leaf/leaf13|metro5/dc1/dc/dc|0", + "metro1/pop1/leaf/leaf11|metro1/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -26456,9 +26456,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro5/pop2/leaf/leaf5|metro5/dc1/dc/dc|0", "metro2/pop1/leaf/leaf13|metro2/dc1/dc/dc|0", - "metro5/pop2/leaf/leaf9|metro5/dc1/dc/dc|0" + "metro5/pop2/leaf/leaf9|metro5/dc1/dc/dc|0", + "metro5/pop2/leaf/leaf5|metro5/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -26567,8 +26567,8 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro1/pop2/leaf/leaf6|metro1/dc1/dc/dc|0", "metro2/pop2/leaf/leaf12|metro2/dc1/dc/dc|0", + "metro1/pop2/leaf/leaf6|metro1/dc1/dc/dc|0", "metro5/pop1/leaf/leaf9|metro5/dc1/dc/dc|0" ] }, @@ -26679,9 +26679,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ + "metro5/pop2/leaf/leaf15|metro5/dc1/dc/dc|0", "metro1/pop2/leaf/leaf7|metro1/dc1/dc/dc|0", - "metro5/pop2/leaf/leaf7|metro5/dc1/dc/dc|0", - "metro5/pop2/leaf/leaf15|metro5/dc1/dc/dc|0" + "metro5/pop2/leaf/leaf7|metro5/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -26792,9 +26792,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ + "metro5/pop2/leaf/leaf9|metro5/dc1/dc/dc|0", "metro1/pop2/leaf/leaf10|metro1/dc1/dc/dc|0", - "metro5/pop1/leaf/leaf13|metro5/dc1/dc/dc|0", - "metro5/pop2/leaf/leaf9|metro5/dc1/dc/dc|0" + "metro5/pop1/leaf/leaf13|metro5/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -26907,8 +26907,8 @@ "excluded_nodes": [], "excluded_links": [ "metro5/pop1/leaf/leaf12|metro5/dc1/dc/dc|0", - "metro5/pop1/leaf/leaf16|metro5/dc1/dc/dc|0", - "metro1/pop2/leaf/leaf11|metro1/dc1/dc/dc|0" + "metro1/pop2/leaf/leaf11|metro1/dc1/dc/dc|0", + "metro5/pop1/leaf/leaf16|metro5/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -27015,9 +27015,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro1/pop1/leaf/leaf11|metro1/dc1/dc/dc|0", "metro2/pop1/leaf/leaf3|metro2/dc1/dc/dc|0", - "metro1/pop2/leaf/leaf2|metro1/dc1/dc/dc|0" + "metro1/pop2/leaf/leaf2|metro1/dc1/dc/dc|0", + "metro1/pop1/leaf/leaf11|metro1/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -27126,10 +27126,10 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro1/pop1/leaf/leaf12|metro1/pop1/spine/spine1|0", "metro5/pop1/leaf/leaf3|metro5/pop1/spine/spine2|0", "metro2/pop1/leaf/leaf7|metro2/pop1/spine/spine4|0", - "metro2/pop1/leaf/leaf8|metro2/pop1/spine/spine1|0" + "metro2/pop1/leaf/leaf8|metro2/pop1/spine/spine1|0", + "metro1/pop1/leaf/leaf12|metro1/pop1/spine/spine1|0" ] }, "failure_trace": null, @@ -27229,8 +27229,8 @@ "excluded_nodes": [], "excluded_links": [ "metro2/pop2/leaf/leaf15|metro2/dc1/dc/dc|0", - "metro5/pop1/leaf/leaf9|metro5/dc1/dc/dc|0", - "metro2/pop1/leaf/leaf10|metro2/dc1/dc/dc|0" + "metro2/pop1/leaf/leaf10|metro2/dc1/dc/dc|0", + "metro5/pop1/leaf/leaf9|metro5/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -27440,9 +27440,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro5/pop2/leaf/leaf1|metro5/dc1/dc/dc|0", + "metro5/pop1/leaf/leaf11|metro5/dc1/dc/dc|0", "metro5/pop2/leaf/leaf15|metro5/dc1/dc/dc|0", - "metro5/pop1/leaf/leaf11|metro5/dc1/dc/dc|0" + "metro5/pop2/leaf/leaf1|metro5/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -27654,9 +27654,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ + "metro1/pop2/leaf/leaf10|metro1/pop2/spine/spine3|0", "metro2/pop2/leaf/leaf14|metro2/pop2/spine/spine2|0", "metro2/pop2/leaf/leaf12|metro2/pop2/spine/spine1|0", - "metro1/pop2/leaf/leaf10|metro1/pop2/spine/spine3|0", "metro1/pop2/leaf/leaf4|metro1/pop2/spine/spine4|0" ] }, @@ -27756,9 +27756,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro5/pop1/leaf/leaf9|metro5/dc1/dc/dc|0", + "metro5/pop1/leaf/leaf5|metro5/dc1/dc/dc|0", "metro2/pop1/leaf/leaf1|metro2/dc1/dc/dc|0", - "metro5/pop1/leaf/leaf5|metro5/dc1/dc/dc|0" + "metro5/pop1/leaf/leaf9|metro5/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -27863,9 +27863,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro2/pop1/leaf/leaf13|metro2/dc1/dc/dc|0", + "metro1/pop1/leaf/leaf10|metro1/dc1/dc/dc|0", "metro2/pop2/leaf/leaf12|metro2/dc1/dc/dc|0", - "metro1/pop1/leaf/leaf10|metro1/dc1/dc/dc|0" + "metro2/pop1/leaf/leaf13|metro2/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -27976,9 +27976,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro1/pop1/leaf/leaf5|metro1/dc1/dc/dc|0", + "metro5/pop2/leaf/leaf10|metro5/dc1/dc/dc|0", "metro5/pop1/leaf/leaf7|metro5/dc1/dc/dc|0", - "metro5/pop2/leaf/leaf10|metro5/dc1/dc/dc|0" + "metro1/pop1/leaf/leaf5|metro1/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -28412,8 +28412,8 @@ "excluded_nodes": [], "excluded_links": [ "metro1/pop2/leaf/leaf10|metro1/dc1/dc/dc|0", - "metro2/pop1/leaf/leaf7|metro2/dc1/dc/dc|0", - "metro2/pop2/leaf/leaf10|metro2/dc1/dc/dc|0" + "metro2/pop2/leaf/leaf10|metro2/dc1/dc/dc|0", + "metro2/pop1/leaf/leaf7|metro2/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -28629,8 +28629,8 @@ "excluded_nodes": [], "excluded_links": [ "metro2/pop1/leaf/leaf13|metro2/dc1/dc/dc|0", - "metro2/pop2/leaf/leaf11|metro2/dc1/dc/dc|0", - "metro2/pop1/leaf/leaf11|metro2/dc1/dc/dc|0" + "metro2/pop1/leaf/leaf11|metro2/dc1/dc/dc|0", + "metro2/pop2/leaf/leaf11|metro2/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -28836,10 +28836,10 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro1/pop1/leaf/leaf4|metro1/pop1/spine/spine4|0", - "metro1/pop2/leaf/leaf5|metro1/pop2/spine/spine3|0", "metro1/pop1/leaf/leaf13|metro1/pop1/spine/spine1|0", - "metro1/pop1/leaf/leaf8|metro1/pop1/spine/spine1|0" + "metro1/pop1/leaf/leaf4|metro1/pop1/spine/spine4|0", + "metro1/pop1/leaf/leaf8|metro1/pop1/spine/spine1|0", + "metro1/pop2/leaf/leaf5|metro1/pop2/spine/spine3|0" ] }, "failure_trace": null, @@ -28938,10 +28938,10 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro1/pop1/leaf/leaf12|metro1/pop1/spine/spine1|0", - "metro1/pop2/leaf/leaf2|metro1/pop2/spine/spine1|0", "metro2/pop2/leaf/leaf6|metro2/pop2/spine/spine4|0", - "metro2/pop2/leaf/leaf16|metro2/pop2/spine/spine4|0" + "metro2/pop2/leaf/leaf16|metro2/pop2/spine/spine4|0", + "metro1/pop2/leaf/leaf2|metro1/pop2/spine/spine1|0", + "metro1/pop1/leaf/leaf12|metro1/pop1/spine/spine1|0" ] }, "failure_trace": null, @@ -29040,9 +29040,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro5/pop1/leaf/leaf13|metro5/dc1/dc/dc|0", + "metro5/pop1/leaf/leaf4|metro5/dc1/dc/dc|0", "metro1/pop2/leaf/leaf13|metro1/dc1/dc/dc|0", - "metro5/pop1/leaf/leaf4|metro5/dc1/dc/dc|0" + "metro5/pop1/leaf/leaf13|metro5/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -29254,8 +29254,8 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro2/pop1/leaf/leaf10|metro2/dc1/dc/dc|0", "metro5/pop2/leaf/leaf13|metro5/dc1/dc/dc|0", + "metro2/pop1/leaf/leaf10|metro2/dc1/dc/dc|0", "metro5/pop1/leaf/leaf5|metro5/dc1/dc/dc|0" ] }, @@ -29368,8 +29368,8 @@ "excluded_nodes": [], "excluded_links": [ "metro2/pop2/leaf/leaf16|metro2/dc1/dc/dc|0", - "metro5/pop1/leaf/leaf9|metro5/dc1/dc/dc|0", - "metro1/pop1/leaf/leaf3|metro1/dc1/dc/dc|0" + "metro1/pop1/leaf/leaf3|metro1/dc1/dc/dc|0", + "metro5/pop1/leaf/leaf9|metro5/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -29593,9 +29593,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ + "metro5/pop1/leaf/leaf7|metro5/dc1/dc/dc|0", "metro1/pop1/leaf/leaf14|metro1/dc1/dc/dc|0", - "metro5/pop2/leaf/leaf5|metro5/dc1/dc/dc|0", - "metro5/pop1/leaf/leaf7|metro5/dc1/dc/dc|0" + "metro5/pop2/leaf/leaf5|metro5/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -29706,8 +29706,8 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro5/pop1/leaf/leaf15|metro5/dc1/dc/dc|0", "metro1/pop1/leaf/leaf2|metro1/dc1/dc/dc|0", + "metro5/pop1/leaf/leaf15|metro5/dc1/dc/dc|0", "metro2/pop1/leaf/leaf9|metro2/dc1/dc/dc|0" ] }, @@ -29813,10 +29813,10 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro1/pop1/leaf/leaf11|metro1/pop1/spine/spine1|0", "metro1/pop1/leaf/leaf5|metro1/pop1/spine/spine4|0", + "metro1/pop1/leaf/leaf10|metro1/pop1/spine/spine4|0", "metro2/pop2/leaf/leaf3|metro2/pop2/spine/spine3|0", - "metro1/pop1/leaf/leaf10|metro1/pop1/spine/spine4|0" + "metro1/pop1/leaf/leaf11|metro1/pop1/spine/spine1|0" ] }, "failure_trace": null, @@ -29915,9 +29915,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro1/pop2/leaf/leaf15|metro1/dc1/dc/dc|0", "metro2/pop1/leaf/leaf13|metro2/dc1/dc/dc|0", - "metro1/pop2/leaf/leaf2|metro1/dc1/dc/dc|0" + "metro1/pop2/leaf/leaf2|metro1/dc1/dc/dc|0", + "metro1/pop2/leaf/leaf15|metro1/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -30026,10 +30026,10 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ + "metro5/pop2/leaf/leaf16|metro5/pop2/spine/spine1|0", "metro1/pop1/leaf/leaf10|metro1/pop1/spine/spine4|0", "metro5/pop1/leaf/leaf5|metro5/pop1/spine/spine4|0", - "metro2/pop2/leaf/leaf5|metro2/pop2/spine/spine4|0", - "metro5/pop2/leaf/leaf16|metro5/pop2/spine/spine1|0" + "metro2/pop2/leaf/leaf5|metro2/pop2/spine/spine4|0" ] }, "failure_trace": null, @@ -30231,8 +30231,8 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro5/pop2/leaf/leaf16|metro5/dc1/dc/dc|0", "metro2/pop1/leaf/leaf2|metro2/dc1/dc/dc|0", + "metro5/pop2/leaf/leaf16|metro5/dc1/dc/dc|0", "metro5/pop1/leaf/leaf16|metro5/dc1/dc/dc|0" ] }, @@ -30445,9 +30445,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ + "metro2/pop1/leaf/leaf7|metro2/dc1/dc/dc|0", "metro5/pop2/leaf/leaf16|metro5/dc1/dc/dc|0", - "metro5/pop1/leaf/leaf6|metro5/dc1/dc/dc|0", - "metro2/pop1/leaf/leaf7|metro2/dc1/dc/dc|0" + "metro5/pop1/leaf/leaf6|metro5/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -30558,9 +30558,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro2/pop1/leaf/leaf6|metro2/dc1/dc/dc|0", + "metro2/pop2/leaf/leaf3|metro2/dc1/dc/dc|0", "metro1/pop1/leaf/leaf5|metro1/dc1/dc/dc|0", - "metro2/pop2/leaf/leaf3|metro2/dc1/dc/dc|0" + "metro2/pop1/leaf/leaf6|metro2/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -30672,9 +30672,9 @@ "excluded_nodes": [], "excluded_links": [ "metro2/pop1/leaf/leaf6|metro2/pop1/spine/spine4|0", - "metro1/pop1/leaf/leaf1|metro1/pop1/spine/spine1|0", "metro1/pop2/leaf/leaf10|metro1/pop2/spine/spine1|0", - "metro5/pop2/leaf/leaf7|metro5/pop2/spine/spine4|0" + "metro5/pop2/leaf/leaf7|metro5/pop2/spine/spine4|0", + "metro1/pop1/leaf/leaf1|metro1/pop1/spine/spine1|0" ] }, "failure_trace": null, @@ -30884,9 +30884,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro5/pop2/leaf/leaf16|metro5/dc1/dc/dc|0", "metro2/pop1/leaf/leaf16|metro2/dc1/dc/dc|0", - "metro2/pop2/leaf/leaf11|metro2/dc1/dc/dc|0" + "metro2/pop2/leaf/leaf11|metro2/dc1/dc/dc|0", + "metro5/pop2/leaf/leaf16|metro5/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -30997,10 +30997,10 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro5/pop2/leaf/leaf14|metro5/pop2/spine/spine2|0", "metro5/pop1/leaf/leaf15|metro5/pop1/spine/spine1|0", + "metro5/pop2/leaf/leaf14|metro5/pop2/spine/spine3|0", "metro5/pop2/leaf/leaf11|metro5/pop2/spine/spine2|0", - "metro5/pop2/leaf/leaf14|metro5/pop2/spine/spine3|0" + "metro5/pop2/leaf/leaf14|metro5/pop2/spine/spine2|0" ] }, "failure_trace": null, @@ -31099,10 +31099,10 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro1/pop1/leaf/leaf8|metro1/pop1/spine/spine4|0", - "metro2/pop2/leaf/leaf12|metro2/pop2/spine/spine1|0", "metro1/pop2/leaf/leaf10|metro1/pop2/spine/spine3|0", - "metro1/pop2/leaf/leaf6|metro1/pop2/spine/spine4|0" + "metro1/pop2/leaf/leaf6|metro1/pop2/spine/spine4|0", + "metro2/pop2/leaf/leaf12|metro2/pop2/spine/spine1|0", + "metro1/pop1/leaf/leaf8|metro1/pop1/spine/spine4|0" ] }, "failure_trace": null, @@ -31407,9 +31407,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro5/pop2/leaf/leaf7|metro5/dc1/dc/dc|0", "metro5/pop1/leaf/leaf7|metro5/dc1/dc/dc|0", - "metro1/pop2/leaf/leaf3|metro1/dc1/dc/dc|0" + "metro1/pop2/leaf/leaf3|metro1/dc1/dc/dc|0", + "metro5/pop2/leaf/leaf7|metro5/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -31518,8 +31518,8 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro1/pop2/leaf/leaf12|metro1/dc1/dc/dc|0", "metro5/pop2/leaf/leaf3|metro5/dc1/dc/dc|0", + "metro1/pop2/leaf/leaf12|metro1/dc1/dc/dc|0", "metro5/pop2/leaf/leaf2|metro5/dc1/dc/dc|0" ] }, @@ -31740,9 +31740,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro1/pop1/leaf/leaf15|metro1/dc1/dc/dc|0", "metro2/pop1/leaf/leaf12|metro2/dc1/dc/dc|0", - "metro2/pop1/leaf/leaf10|metro2/dc1/dc/dc|0" + "metro2/pop1/leaf/leaf10|metro2/dc1/dc/dc|0", + "metro1/pop1/leaf/leaf15|metro1/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -31847,9 +31847,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro1/pop2/leaf/leaf14|metro1/pop2/spine/spine3|0", "metro2/pop1/leaf/leaf7|metro2/pop1/spine/spine2|0", "metro5/pop1/leaf/leaf6|metro5/pop1/spine/spine4|0", + "metro1/pop2/leaf/leaf14|metro1/pop2/spine/spine3|0", "metro5/pop2/leaf/leaf12|metro5/pop2/spine/spine4|0" ] }, @@ -32277,9 +32277,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ + "metro2/pop1/leaf/leaf8|metro2/dc1/dc/dc|0", "metro5/pop2/leaf/leaf4|metro5/dc1/dc/dc|0", - "metro2/pop2/leaf/leaf5|metro2/dc1/dc/dc|0", - "metro2/pop1/leaf/leaf8|metro2/dc1/dc/dc|0" + "metro2/pop2/leaf/leaf5|metro2/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -32390,10 +32390,10 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro1/pop1/leaf/leaf12|metro1/pop1/spine/spine3|0", "metro2/pop1/leaf/leaf12|metro2/pop1/spine/spine4|0", "metro1/pop1/leaf/leaf16|metro1/pop1/spine/spine1|0", - "metro2/pop2/leaf/leaf11|metro2/pop2/spine/spine4|0" + "metro2/pop2/leaf/leaf11|metro2/pop2/spine/spine4|0", + "metro1/pop1/leaf/leaf12|metro1/pop1/spine/spine3|0" ] }, "failure_trace": null, @@ -32595,9 +32595,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro2/pop1/leaf/leaf3|metro2/dc1/dc/dc|0", "metro2/pop1/leaf/leaf13|metro2/dc1/dc/dc|0", - "metro1/pop1/leaf/leaf2|metro1/dc1/dc/dc|0" + "metro1/pop1/leaf/leaf2|metro1/dc1/dc/dc|0", + "metro2/pop1/leaf/leaf3|metro2/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -32702,8 +32702,8 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro1/pop2/leaf/leaf7|metro1/dc1/dc/dc|0", "metro5/pop2/leaf/leaf10|metro5/dc1/dc/dc|0", + "metro1/pop2/leaf/leaf7|metro1/dc1/dc/dc|0", "metro5/pop1/leaf/leaf5|metro5/dc1/dc/dc|0" ] }, @@ -32917,8 +32917,8 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro1/pop2/leaf/leaf12|metro1/dc1/dc/dc|0", "metro1/pop2/leaf/leaf2|metro1/dc1/dc/dc|0", + "metro1/pop2/leaf/leaf12|metro1/dc1/dc/dc|0", "metro5/pop2/leaf/leaf10|metro5/dc1/dc/dc|0" ] }, @@ -33030,8 +33030,8 @@ "excluded_nodes": [], "excluded_links": [ "metro5/pop1/leaf/leaf1|metro5/dc1/dc/dc|0", - "metro2/pop1/leaf/leaf8|metro2/dc1/dc/dc|0", - "metro1/pop1/leaf/leaf6|metro1/dc1/dc/dc|0" + "metro1/pop1/leaf/leaf6|metro1/dc1/dc/dc|0", + "metro2/pop1/leaf/leaf8|metro2/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -33137,9 +33137,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ + "metro5/pop2/leaf/leaf2|metro5/dc1/dc/dc|0", "metro2/pop1/leaf/leaf10|metro2/dc1/dc/dc|0", - "metro5/pop1/leaf/leaf5|metro5/dc1/dc/dc|0", - "metro5/pop2/leaf/leaf2|metro5/dc1/dc/dc|0" + "metro5/pop1/leaf/leaf5|metro5/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -33453,9 +33453,9 @@ "excluded_nodes": [], "excluded_links": [ "metro5/pop1/leaf/leaf15|metro5/pop1/spine/spine2|0", - "metro1/pop1/leaf/leaf3|metro1/pop1/spine/spine3|0", + "metro5/pop1/leaf/leaf4|metro5/pop1/spine/spine1|0", "metro1/pop2/leaf/leaf11|metro1/pop2/spine/spine3|0", - "metro5/pop1/leaf/leaf4|metro5/pop1/spine/spine1|0" + "metro1/pop1/leaf/leaf3|metro1/pop1/spine/spine3|0" ] }, "failure_trace": null, @@ -33555,8 +33555,8 @@ "excluded_nodes": [], "excluded_links": [ "metro1/pop1/leaf/leaf14|metro1/dc1/dc/dc|0", - "metro1/pop2/leaf/leaf14|metro1/dc1/dc/dc|0", - "metro2/pop2/leaf/leaf15|metro2/dc1/dc/dc|0" + "metro2/pop2/leaf/leaf15|metro2/dc1/dc/dc|0", + "metro1/pop2/leaf/leaf14|metro1/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -33771,8 +33771,8 @@ "excluded_nodes": [], "excluded_links": [ "metro2/pop2/leaf/leaf8|metro2/dc1/dc/dc|0", - "metro2/pop1/leaf/leaf6|metro2/dc1/dc/dc|0", - "metro1/pop2/leaf/leaf10|metro1/dc1/dc/dc|0" + "metro1/pop2/leaf/leaf10|metro1/dc1/dc/dc|0", + "metro2/pop1/leaf/leaf6|metro2/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -33989,8 +33989,8 @@ "excluded_links": [ "metro2/pop1/leaf/leaf13|metro2/pop1/spine/spine1|0", "metro1/pop1/leaf/leaf6|metro1/pop1/spine/spine2|0", - "metro2/pop2/leaf/leaf5|metro2/pop2/spine/spine2|0", - "metro2/pop1/leaf/leaf1|metro2/pop1/spine/spine2|0" + "metro2/pop1/leaf/leaf1|metro2/pop1/spine/spine2|0", + "metro2/pop2/leaf/leaf5|metro2/pop2/spine/spine2|0" ] }, "failure_trace": null, @@ -34089,10 +34089,10 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro2/pop1/leaf/leaf9|metro2/pop1/spine/spine3|0", "metro1/pop1/leaf/leaf1|metro1/pop1/spine/spine2|0", - "metro5/pop1/leaf/leaf12|metro5/pop1/spine/spine4|0", - "metro5/pop2/leaf/leaf7|metro5/pop2/spine/spine3|0" + "metro5/pop2/leaf/leaf7|metro5/pop2/spine/spine3|0", + "metro2/pop1/leaf/leaf9|metro2/pop1/spine/spine3|0", + "metro5/pop1/leaf/leaf12|metro5/pop1/spine/spine4|0" ] }, "failure_trace": null, @@ -34294,8 +34294,8 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro1/pop1/leaf/leaf13|metro1/dc1/dc/dc|0", "metro2/pop2/leaf/leaf2|metro2/dc1/dc/dc|0", + "metro1/pop1/leaf/leaf13|metro1/dc1/dc/dc|0", "metro2/pop2/leaf/leaf5|metro2/dc1/dc/dc|0" ] }, @@ -34405,9 +34405,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro2/pop1/leaf/leaf5|metro2/pop1/spine/spine2|0", "metro2/pop2/leaf/leaf13|metro2/pop2/spine/spine4|0", "metro2/pop1/leaf/leaf12|metro2/pop1/spine/spine1|0", + "metro2/pop1/leaf/leaf5|metro2/pop1/spine/spine2|0", "metro5/pop2/leaf/leaf12|metro5/pop2/spine/spine4|0" ] }, @@ -34508,8 +34508,8 @@ "excluded_nodes": [], "excluded_links": [ "metro1/pop1/leaf/leaf11|metro1/dc1/dc/dc|0", - "metro2/pop1/leaf/leaf7|metro2/dc1/dc/dc|0", - "metro1/pop2/leaf/leaf3|metro1/dc1/dc/dc|0" + "metro1/pop2/leaf/leaf3|metro1/dc1/dc/dc|0", + "metro2/pop1/leaf/leaf7|metro2/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -34619,8 +34619,8 @@ "excluded_nodes": [], "excluded_links": [ "metro5/pop1/leaf/leaf11|metro5/dc1/dc/dc|0", - "metro5/pop1/leaf/leaf6|metro5/dc1/dc/dc|0", - "metro2/pop1/leaf/leaf11|metro2/dc1/dc/dc|0" + "metro2/pop1/leaf/leaf11|metro2/dc1/dc/dc|0", + "metro5/pop1/leaf/leaf6|metro5/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -34727,8 +34727,8 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro2/pop1/leaf/leaf2|metro2/dc1/dc/dc|0", "metro5/pop1/leaf/leaf10|metro5/dc1/dc/dc|0", + "metro2/pop1/leaf/leaf2|metro2/dc1/dc/dc|0", "metro5/pop2/leaf/leaf2|metro5/dc1/dc/dc|0" ] }, @@ -34839,10 +34839,10 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro5/pop2/leaf/leaf15|metro5/pop2/spine/spine3|0", + "metro1/pop2/leaf/leaf8|metro1/pop2/spine/spine2|0", "metro1/pop1/leaf/leaf16|metro1/pop1/spine/spine1|0", "metro1/pop2/leaf/leaf5|metro1/pop2/spine/spine3|0", - "metro1/pop2/leaf/leaf8|metro1/pop2/spine/spine2|0" + "metro5/pop2/leaf/leaf15|metro5/pop2/spine/spine3|0" ] }, "failure_trace": null, @@ -35155,8 +35155,8 @@ "excluded_nodes": [], "excluded_links": [ "metro2/pop1/leaf/leaf13|metro2/dc1/dc/dc|0", - "metro1/pop2/leaf/leaf9|metro1/dc1/dc/dc|0", - "metro1/pop2/leaf/leaf3|metro1/dc1/dc/dc|0" + "metro1/pop2/leaf/leaf3|metro1/dc1/dc/dc|0", + "metro1/pop2/leaf/leaf9|metro1/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -35265,9 +35265,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro1/pop2/leaf/leaf15|metro1/dc1/dc/dc|0", "metro2/pop2/leaf/leaf11|metro2/dc1/dc/dc|0", - "metro2/pop1/leaf/leaf10|metro2/dc1/dc/dc|0" + "metro2/pop1/leaf/leaf10|metro2/dc1/dc/dc|0", + "metro1/pop2/leaf/leaf15|metro1/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -35378,9 +35378,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ + "metro2/pop2/leaf/leaf2|metro2/dc1/dc/dc|0", "metro2/pop2/leaf/leaf4|metro2/dc1/dc/dc|0", - "metro5/pop1/leaf/leaf16|metro5/dc1/dc/dc|0", - "metro2/pop2/leaf/leaf2|metro2/dc1/dc/dc|0" + "metro5/pop1/leaf/leaf16|metro5/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -35589,8 +35589,8 @@ "excluded_nodes": [], "excluded_links": [ "metro2/pop2/leaf/leaf9|metro2/dc1/dc/dc|0", - "metro1/pop1/leaf/leaf15|metro1/dc1/dc/dc|0", - "metro2/pop1/leaf/leaf7|metro2/dc1/dc/dc|0" + "metro2/pop1/leaf/leaf7|metro2/dc1/dc/dc|0", + "metro1/pop1/leaf/leaf15|metro1/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -35701,9 +35701,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ + "metro1/pop1/leaf/leaf13|metro1/dc1/dc/dc|0", "metro2/pop2/leaf/leaf15|metro2/dc1/dc/dc|0", - "metro5/pop1/leaf/leaf6|metro5/dc1/dc/dc|0", - "metro1/pop1/leaf/leaf13|metro1/dc1/dc/dc|0" + "metro5/pop1/leaf/leaf6|metro5/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -35814,9 +35814,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro1/pop1/leaf/leaf12|metro1/dc1/dc/dc|0", + "metro2/pop1/leaf/leaf16|metro2/dc1/dc/dc|0", "metro5/pop1/leaf/leaf11|metro5/dc1/dc/dc|0", - "metro2/pop1/leaf/leaf16|metro2/dc1/dc/dc|0" + "metro1/pop1/leaf/leaf12|metro1/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -35921,10 +35921,10 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro5/pop2/leaf/leaf6|metro5/pop2/spine/spine2|0", + "metro5/pop2/leaf/leaf10|metro5/pop2/spine/spine2|0", "metro5/pop2/leaf/leaf14|metro5/pop2/spine/spine2|0", "metro2/pop2/leaf/leaf11|metro2/pop2/spine/spine4|0", - "metro5/pop2/leaf/leaf10|metro5/pop2/spine/spine2|0" + "metro5/pop2/leaf/leaf6|metro5/pop2/spine/spine2|0" ] }, "failure_trace": null, @@ -36126,9 +36126,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro2/pop2/leaf/leaf9|metro2/dc1/dc/dc|0", "metro2/pop2/leaf/leaf13|metro2/dc1/dc/dc|0", - "metro2/pop1/leaf/leaf2|metro2/dc1/dc/dc|0" + "metro2/pop1/leaf/leaf2|metro2/dc1/dc/dc|0", + "metro2/pop2/leaf/leaf9|metro2/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -36341,8 +36341,8 @@ "excluded_nodes": [], "excluded_links": [ "metro2/pop2/leaf/leaf7|metro2/dc1/dc/dc|0", - "metro5/pop2/leaf/leaf7|metro5/dc1/dc/dc|0", - "metro5/pop1/leaf/leaf2|metro5/dc1/dc/dc|0" + "metro5/pop1/leaf/leaf2|metro5/dc1/dc/dc|0", + "metro5/pop2/leaf/leaf7|metro5/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -36455,10 +36455,10 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ + "metro5/pop2/leaf/leaf10|metro5/pop2/spine/spine4|0", "metro1/pop1/leaf/leaf4|metro1/pop1/spine/spine4|0", - "metro2/pop2/leaf/leaf7|metro2/pop2/spine/spine3|0", "metro2/pop2/leaf/leaf8|metro2/pop2/spine/spine2|0", - "metro5/pop2/leaf/leaf10|metro5/pop2/spine/spine4|0" + "metro2/pop2/leaf/leaf7|metro2/pop2/spine/spine3|0" ] }, "failure_trace": null, @@ -36557,9 +36557,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ + "metro1/pop2/leaf/leaf16|metro1/dc1/dc/dc|0", "metro2/pop2/leaf/leaf8|metro2/dc1/dc/dc|0", - "metro1/pop1/leaf/leaf9|metro1/dc1/dc/dc|0", - "metro1/pop2/leaf/leaf16|metro1/dc1/dc/dc|0" + "metro1/pop1/leaf/leaf9|metro1/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -36669,10 +36669,10 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro5/pop2/leaf/leaf9|metro5/pop2/spine/spine4|0", "metro5/pop2/leaf/leaf4|metro5/pop2/spine/spine2|0", "metro1/pop1/leaf/leaf8|metro1/pop1/spine/spine1|0", - "metro1/pop2/leaf/leaf6|metro1/pop2/spine/spine4|0" + "metro1/pop2/leaf/leaf6|metro1/pop2/spine/spine4|0", + "metro5/pop2/leaf/leaf9|metro5/pop2/spine/spine4|0" ] }, "failure_trace": null, @@ -36771,9 +36771,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro5/pop2/leaf/leaf5|metro5/dc1/dc/dc|0", + "metro2/pop1/leaf/leaf16|metro2/dc1/dc/dc|0", "metro1/pop1/leaf/leaf13|metro1/dc1/dc/dc|0", - "metro2/pop1/leaf/leaf16|metro2/dc1/dc/dc|0" + "metro5/pop2/leaf/leaf5|metro5/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -37099,8 +37099,8 @@ "excluded_nodes": [], "excluded_links": [ "metro1/pop1/leaf/leaf10|metro1/pop1/spine/spine4|0", - "metro5/pop1/leaf/leaf12|metro5/pop1/spine/spine4|0", "metro2/pop1/leaf/leaf10|metro2/pop1/spine/spine1|0", + "metro5/pop1/leaf/leaf12|metro5/pop1/spine/spine4|0", "metro1/pop2/leaf/leaf16|metro1/pop2/spine/spine3|0" ] }, @@ -37300,8 +37300,8 @@ "excluded_nodes": [], "excluded_links": [ "metro5/pop1/leaf/leaf11|metro5/dc1/dc/dc|0", - "metro5/pop2/leaf/leaf15|metro5/dc1/dc/dc|0", - "metro1/pop2/leaf/leaf11|metro1/dc1/dc/dc|0" + "metro1/pop2/leaf/leaf11|metro1/dc1/dc/dc|0", + "metro5/pop2/leaf/leaf15|metro5/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -37417,8 +37417,8 @@ "excluded_links": [ "metro5/pop1/leaf/leaf15|metro5/pop1/spine/spine3|0", "metro5/pop1/leaf/leaf4|metro5/pop1/spine/spine2|0", - "metro2/pop2/leaf/leaf10|metro2/pop2/spine/spine1|0", - "metro2/pop2/leaf/leaf11|metro2/pop2/spine/spine4|0" + "metro2/pop2/leaf/leaf11|metro2/pop2/spine/spine4|0", + "metro2/pop2/leaf/leaf10|metro2/pop2/spine/spine1|0" ] }, "failure_trace": null, @@ -37517,9 +37517,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ + "metro2/pop2/leaf/leaf5|metro2/dc1/dc/dc|0", "metro2/pop1/leaf/leaf7|metro2/dc1/dc/dc|0", - "metro5/pop1/leaf/leaf9|metro5/dc1/dc/dc|0", - "metro2/pop2/leaf/leaf5|metro2/dc1/dc/dc|0" + "metro5/pop1/leaf/leaf9|metro5/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -37630,9 +37630,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro5/pop2/leaf/leaf12|metro5/dc1/dc/dc|0", + "metro5/pop1/leaf/leaf4|metro5/dc1/dc/dc|0", "metro1/pop1/leaf/leaf3|metro1/dc1/dc/dc|0", - "metro5/pop1/leaf/leaf4|metro5/dc1/dc/dc|0" + "metro5/pop2/leaf/leaf12|metro5/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -37743,8 +37743,8 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro1/pop2/leaf/leaf1|metro1/dc1/dc/dc|0", "metro2/pop1/leaf/leaf4|metro2/dc1/dc/dc|0", + "metro1/pop2/leaf/leaf1|metro1/dc1/dc/dc|0", "metro1/pop1/leaf/leaf10|metro1/dc1/dc/dc|0" ] }, @@ -37855,8 +37855,8 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro2/pop1/leaf/leaf6|metro2/pop1/spine/spine4|0", "metro2/pop1/leaf/leaf12|metro2/pop1/spine/spine4|0", + "metro2/pop1/leaf/leaf6|metro2/pop1/spine/spine4|0", "metro2/pop2/leaf/leaf16|metro2/pop2/spine/spine1|0", "metro5/pop2/leaf/leaf10|metro5/pop2/spine/spine2|0" ] @@ -37957,9 +37957,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro5/pop2/leaf/leaf16|metro5/dc1/dc/dc|0", + "metro5/pop1/leaf/leaf11|metro5/dc1/dc/dc|0", "metro2/pop2/leaf/leaf10|metro2/dc1/dc/dc|0", - "metro5/pop1/leaf/leaf11|metro5/dc1/dc/dc|0" + "metro5/pop2/leaf/leaf16|metro5/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -38070,9 +38070,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro5/pop2/leaf/leaf16|metro5/dc1/dc/dc|0", "metro2/pop2/leaf/leaf3|metro2/dc1/dc/dc|0", - "metro5/pop2/leaf/leaf5|metro5/dc1/dc/dc|0" + "metro5/pop2/leaf/leaf5|metro5/dc1/dc/dc|0", + "metro5/pop2/leaf/leaf16|metro5/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -38180,8 +38180,8 @@ "excluded_nodes": [], "excluded_links": [ "metro2/pop1/leaf/leaf2|metro2/dc1/dc/dc|0", - "metro5/pop1/leaf/leaf2|metro5/dc1/dc/dc|0", - "metro2/pop1/leaf/leaf11|metro2/dc1/dc/dc|0" + "metro2/pop1/leaf/leaf11|metro2/dc1/dc/dc|0", + "metro5/pop1/leaf/leaf2|metro5/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -38288,8 +38288,8 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro5/pop2/leaf/leaf5|metro5/dc1/dc/dc|0", "metro5/pop1/leaf/leaf7|metro5/dc1/dc/dc|0", + "metro5/pop2/leaf/leaf5|metro5/dc1/dc/dc|0", "metro2/pop1/leaf/leaf10|metro2/dc1/dc/dc|0" ] }, @@ -38401,8 +38401,8 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro2/pop2/leaf/leaf1|metro2/dc1/dc/dc|0", "metro1/pop2/leaf/leaf1|metro1/dc1/dc/dc|0", + "metro2/pop2/leaf/leaf1|metro2/dc1/dc/dc|0", "metro1/pop1/leaf/leaf12|metro1/dc1/dc/dc|0" ] }, @@ -38516,9 +38516,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro5/pop2/leaf/leaf14|metro5/dc1/dc/dc|0", + "metro5/pop2/leaf/leaf2|metro5/dc1/dc/dc|0", "metro5/pop1/leaf/leaf13|metro5/dc1/dc/dc|0", - "metro5/pop2/leaf/leaf2|metro5/dc1/dc/dc|0" + "metro5/pop2/leaf/leaf14|metro5/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -38627,9 +38627,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ + "metro1/pop2/leaf/leaf5|metro1/dc1/dc/dc|0", "metro5/pop1/leaf/leaf8|metro5/dc1/dc/dc|0", - "metro2/pop2/leaf/leaf16|metro2/dc1/dc/dc|0", - "metro1/pop2/leaf/leaf5|metro1/dc1/dc/dc|0" + "metro2/pop2/leaf/leaf16|metro2/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -38739,9 +38739,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro2/pop1/leaf/leaf6|metro2/dc1/dc/dc|0", "metro5/pop2/leaf/leaf1|metro5/dc1/dc/dc|0", - "metro2/pop1/leaf/leaf15|metro2/dc1/dc/dc|0" + "metro2/pop1/leaf/leaf15|metro2/dc1/dc/dc|0", + "metro2/pop1/leaf/leaf6|metro2/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -38850,10 +38850,10 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro2/pop1/leaf/leaf6|metro2/pop1/spine/spine1|0", + "metro5/pop1/leaf/leaf4|metro5/pop1/spine/spine1|0", "metro2/pop2/leaf/leaf15|metro2/pop2/spine/spine2|0", - "metro2/pop2/leaf/leaf13|metro2/pop2/spine/spine1|0", - "metro5/pop1/leaf/leaf4|metro5/pop1/spine/spine1|0" + "metro2/pop1/leaf/leaf6|metro2/pop1/spine/spine1|0", + "metro2/pop2/leaf/leaf13|metro2/pop2/spine/spine1|0" ] }, "failure_trace": null, @@ -38953,8 +38953,8 @@ "excluded_nodes": [], "excluded_links": [ "metro2/pop2/leaf/leaf8|metro2/dc1/dc/dc|0", - "metro2/pop1/leaf/leaf14|metro2/dc1/dc/dc|0", - "metro1/pop1/leaf/leaf7|metro1/dc1/dc/dc|0" + "metro1/pop1/leaf/leaf7|metro1/dc1/dc/dc|0", + "metro2/pop1/leaf/leaf14|metro2/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -39066,8 +39066,8 @@ "excluded_nodes": [], "excluded_links": [ "metro1/pop1/leaf/leaf14|metro1/dc1/dc/dc|0", - "metro1/pop1/leaf/leaf9|metro1/dc1/dc/dc|0", - "metro2/pop1/leaf/leaf10|metro2/dc1/dc/dc|0" + "metro2/pop1/leaf/leaf10|metro2/dc1/dc/dc|0", + "metro1/pop1/leaf/leaf9|metro1/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -39172,9 +39172,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro1/pop1/leaf/leaf5|metro1/dc1/dc/dc|0", + "metro5/pop1/leaf/leaf8|metro5/dc1/dc/dc|0", "metro1/pop1/leaf/leaf16|metro1/dc1/dc/dc|0", - "metro5/pop1/leaf/leaf8|metro5/dc1/dc/dc|0" + "metro1/pop1/leaf/leaf5|metro1/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -39280,8 +39280,8 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro1/pop1/leaf/leaf14|metro1/dc1/dc/dc|0", "metro1/pop2/leaf/leaf15|metro1/dc1/dc/dc|0", + "metro1/pop1/leaf/leaf14|metro1/dc1/dc/dc|0", "metro1/pop2/leaf/leaf14|metro1/dc1/dc/dc|0" ] }, @@ -39392,8 +39392,8 @@ "excluded_nodes": [], "excluded_links": [ "metro2/pop2/leaf/leaf8|metro2/dc1/dc/dc|0", - "metro5/pop1/leaf/leaf13|metro5/dc1/dc/dc|0", - "metro2/pop1/leaf/leaf1|metro2/dc1/dc/dc|0" + "metro2/pop1/leaf/leaf1|metro2/dc1/dc/dc|0", + "metro5/pop1/leaf/leaf13|metro5/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -39618,8 +39618,8 @@ "excluded_nodes": [], "excluded_links": [ "metro2/pop2/leaf/leaf13|metro2/dc1/dc/dc|0", - "metro5/pop2/leaf/leaf14|metro5/dc1/dc/dc|0", - "metro2/pop2/leaf/leaf1|metro2/dc1/dc/dc|0" + "metro2/pop2/leaf/leaf1|metro2/dc1/dc/dc|0", + "metro5/pop2/leaf/leaf14|metro5/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -39726,9 +39726,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ + "metro2/pop1/leaf/leaf8|metro2/dc1/dc/dc|0", "metro1/pop1/leaf/leaf13|metro1/dc1/dc/dc|0", - "metro2/pop2/leaf/leaf5|metro2/dc1/dc/dc|0", - "metro2/pop1/leaf/leaf8|metro2/dc1/dc/dc|0" + "metro2/pop2/leaf/leaf5|metro2/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -39840,8 +39840,8 @@ "excluded_nodes": [], "excluded_links": [ "metro5/pop2/leaf/leaf2|metro5/dc1/dc/dc|0", - "metro1/pop1/leaf/leaf12|metro1/dc1/dc/dc|0", - "metro2/pop1/leaf/leaf5|metro2/dc1/dc/dc|0" + "metro2/pop1/leaf/leaf5|metro2/dc1/dc/dc|0", + "metro1/pop1/leaf/leaf12|metro1/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -39952,8 +39952,8 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro2/pop1/leaf/leaf7|metro2/dc1/dc/dc|0", "metro1/pop1/leaf/leaf7|metro1/dc1/dc/dc|0", + "metro2/pop1/leaf/leaf7|metro2/dc1/dc/dc|0", "metro5/pop1/leaf/leaf6|metro5/dc1/dc/dc|0" ] }, @@ -40059,9 +40059,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro1/pop2/leaf/leaf10|metro1/dc1/dc/dc|0", + "metro1/pop2/leaf/leaf5|metro1/dc1/dc/dc|0", "metro1/pop1/leaf/leaf1|metro1/dc1/dc/dc|0", - "metro1/pop2/leaf/leaf5|metro1/dc1/dc/dc|0" + "metro1/pop2/leaf/leaf10|metro1/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -40171,9 +40171,9 @@ "excluded_nodes": [], "excluded_links": [ "metro1/pop1/leaf/leaf10|metro1/pop1/spine/spine3|0", + "metro2/pop2/leaf/leaf16|metro2/pop2/spine/spine3|0", "metro2/pop2/leaf/leaf11|metro2/pop2/spine/spine3|0", - "metro1/pop1/leaf/leaf1|metro1/pop1/spine/spine1|0", - "metro2/pop2/leaf/leaf16|metro2/pop2/spine/spine3|0" + "metro1/pop1/leaf/leaf1|metro1/pop1/spine/spine1|0" ] }, "failure_trace": null, @@ -40272,8 +40272,8 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro5/pop2/leaf/leaf14|metro5/dc1/dc/dc|0", "metro5/pop2/leaf/leaf10|metro5/dc1/dc/dc|0", + "metro5/pop2/leaf/leaf14|metro5/dc1/dc/dc|0", "metro5/pop1/leaf/leaf5|metro5/dc1/dc/dc|0" ] }, @@ -40383,9 +40383,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ + "metro5/pop2/leaf/leaf2|metro5/dc1/dc/dc|0", "metro5/pop2/leaf/leaf7|metro5/dc1/dc/dc|0", - "metro5/pop1/leaf/leaf9|metro5/dc1/dc/dc|0", - "metro5/pop2/leaf/leaf2|metro5/dc1/dc/dc|0" + "metro5/pop1/leaf/leaf9|metro5/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -40494,10 +40494,10 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro1/pop2/leaf/leaf3|metro1/pop2/spine/spine4|0", "metro5/pop2/leaf/leaf5|metro5/pop2/spine/spine4|0", - "metro2/pop1/leaf/leaf12|metro2/pop1/spine/spine1|0", - "metro5/pop2/leaf/leaf10|metro5/pop2/spine/spine2|0" + "metro1/pop2/leaf/leaf3|metro1/pop2/spine/spine4|0", + "metro5/pop2/leaf/leaf10|metro5/pop2/spine/spine2|0", + "metro2/pop1/leaf/leaf12|metro2/pop1/spine/spine1|0" ] }, "failure_trace": null, @@ -40707,9 +40707,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro1/pop1/leaf/leaf9|metro1/dc1/dc/dc|0", "metro2/pop1/leaf/leaf3|metro2/dc1/dc/dc|0", - "metro5/pop1/leaf/leaf6|metro5/dc1/dc/dc|0" + "metro5/pop1/leaf/leaf6|metro5/dc1/dc/dc|0", + "metro1/pop1/leaf/leaf9|metro1/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -40928,9 +40928,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro2/pop2/leaf/leaf9|metro2/dc1/dc/dc|0", "metro2/pop1/leaf/leaf13|metro2/dc1/dc/dc|0", - "metro2/pop1/leaf/leaf6|metro2/dc1/dc/dc|0" + "metro2/pop1/leaf/leaf6|metro2/dc1/dc/dc|0", + "metro2/pop2/leaf/leaf9|metro2/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -41039,10 +41039,10 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro1/pop1/leaf/leaf12|metro1/pop1/spine/spine3|0", "metro1/pop2/leaf/leaf3|metro1/pop2/spine/spine2|0", + "metro1/pop1/leaf/leaf9|metro1/pop1/spine/spine3|0", "metro2/pop2/leaf/leaf4|metro2/pop2/spine/spine2|0", - "metro1/pop1/leaf/leaf9|metro1/pop1/spine/spine3|0" + "metro1/pop1/leaf/leaf12|metro1/pop1/spine/spine3|0" ] }, "failure_trace": null, @@ -41142,8 +41142,8 @@ "excluded_nodes": [], "excluded_links": [ "metro5/pop2/leaf/leaf11|metro5/dc1/dc/dc|0", - "metro2/pop2/leaf/leaf12|metro2/dc1/dc/dc|0", - "metro2/pop1/leaf/leaf2|metro2/dc1/dc/dc|0" + "metro2/pop1/leaf/leaf2|metro2/dc1/dc/dc|0", + "metro2/pop2/leaf/leaf12|metro2/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -41254,8 +41254,8 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro2/pop2/leaf/leaf8|metro2/dc1/dc/dc|0", "metro2/pop1/leaf/leaf14|metro2/dc1/dc/dc|0", + "metro2/pop2/leaf/leaf8|metro2/dc1/dc/dc|0", "metro5/pop2/leaf/leaf5|metro5/dc1/dc/dc|0" ] }, @@ -41367,10 +41367,10 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro1/pop1/leaf/leaf10|metro1/pop1/spine/spine1|0", - "metro2/pop2/leaf/leaf3|metro2/pop2/spine/spine1|0", + "metro5/pop1/leaf/leaf15|metro5/pop1/spine/spine2|0", "metro5/pop2/leaf/leaf5|metro5/pop2/spine/spine4|0", - "metro5/pop1/leaf/leaf15|metro5/pop1/spine/spine2|0" + "metro2/pop2/leaf/leaf3|metro2/pop2/spine/spine1|0", + "metro1/pop1/leaf/leaf10|metro1/pop1/spine/spine1|0" ] }, "failure_trace": null, @@ -41470,8 +41470,8 @@ "excluded_nodes": [], "excluded_links": [ "metro5/pop2/leaf/leaf16|metro5/dc1/dc/dc|0", - "metro5/pop2/leaf/leaf8|metro5/dc1/dc/dc|0", - "metro5/pop2/leaf/leaf2|metro5/dc1/dc/dc|0" + "metro5/pop2/leaf/leaf2|metro5/dc1/dc/dc|0", + "metro5/pop2/leaf/leaf8|metro5/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -41679,8 +41679,8 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro5/pop1/leaf/leaf14|metro5/dc1/dc/dc|0", "metro5/pop2/leaf/leaf1|metro5/dc1/dc/dc|0", + "metro5/pop1/leaf/leaf14|metro5/dc1/dc/dc|0", "metro5/pop1/leaf/leaf12|metro5/dc1/dc/dc|0" ] }, @@ -41789,8 +41789,8 @@ "excluded_nodes": [], "excluded_links": [ "metro1/pop1/leaf/leaf7|metro1/dc1/dc/dc|0", - "metro5/pop2/leaf/leaf8|metro5/dc1/dc/dc|0", - "metro2/pop2/leaf/leaf11|metro2/dc1/dc/dc|0" + "metro2/pop2/leaf/leaf11|metro2/dc1/dc/dc|0", + "metro5/pop2/leaf/leaf8|metro5/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -42123,9 +42123,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ + "metro1/pop2/leaf/leaf5|metro1/dc1/dc/dc|0", "metro5/pop2/leaf/leaf16|metro5/dc1/dc/dc|0", - "metro5/pop1/leaf/leaf9|metro5/dc1/dc/dc|0", - "metro1/pop2/leaf/leaf5|metro1/dc1/dc/dc|0" + "metro5/pop1/leaf/leaf9|metro5/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -42347,8 +42347,8 @@ "excluded_nodes": [], "excluded_links": [ "metro2/pop2/leaf/leaf7|metro2/dc1/dc/dc|0", - "metro5/pop1/leaf/leaf13|metro5/dc1/dc/dc|0", - "metro5/pop2/leaf/leaf10|metro5/dc1/dc/dc|0" + "metro5/pop2/leaf/leaf10|metro5/dc1/dc/dc|0", + "metro5/pop1/leaf/leaf13|metro5/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -42571,10 +42571,10 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro5/pop2/leaf/leaf15|metro5/pop2/spine/spine3|0", - "metro1/pop2/leaf/leaf11|metro1/pop2/spine/spine2|0", "metro2/pop1/leaf/leaf8|metro2/pop1/spine/spine2|0", - "metro5/pop1/leaf/leaf5|metro5/pop1/spine/spine3|0" + "metro5/pop1/leaf/leaf5|metro5/pop1/spine/spine3|0", + "metro5/pop2/leaf/leaf15|metro5/pop2/spine/spine3|0", + "metro1/pop2/leaf/leaf11|metro1/pop2/spine/spine2|0" ] }, "failure_trace": null, @@ -42673,9 +42673,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro5/pop2/leaf/leaf5|metro5/dc1/dc/dc|0", "metro1/pop1/leaf/leaf4|metro1/dc1/dc/dc|0", - "metro1/pop1/leaf/leaf3|metro1/dc1/dc/dc|0" + "metro1/pop1/leaf/leaf3|metro1/dc1/dc/dc|0", + "metro5/pop2/leaf/leaf5|metro5/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -42888,8 +42888,8 @@ "excluded_nodes": [], "excluded_links": [ "metro5/pop1/leaf/leaf1|metro5/dc1/dc/dc|0", - "metro2/pop2/leaf/leaf5|metro2/dc1/dc/dc|0", - "metro2/pop2/leaf/leaf15|metro2/dc1/dc/dc|0" + "metro2/pop2/leaf/leaf15|metro2/dc1/dc/dc|0", + "metro2/pop2/leaf/leaf5|metro2/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -42998,8 +42998,8 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro2/pop1/leaf/leaf3|metro2/dc1/dc/dc|0", "metro2/pop1/leaf/leaf16|metro2/dc1/dc/dc|0", + "metro2/pop1/leaf/leaf3|metro2/dc1/dc/dc|0", "metro2/pop1/leaf/leaf11|metro2/dc1/dc/dc|0" ] }, @@ -43206,9 +43206,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro2/pop2/leaf/leaf15|metro2/pop2/spine/spine4|0", "metro5/pop1/leaf/leaf15|metro5/pop1/spine/spine3|0", "metro5/pop1/leaf/leaf12|metro5/pop1/spine/spine4|0", + "metro2/pop2/leaf/leaf15|metro2/pop2/spine/spine4|0", "metro2/pop2/leaf/leaf16|metro2/pop2/spine/spine3|0" ] }, @@ -43421,9 +43421,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ + "metro1/pop1/leaf/leaf10|metro1/dc1/dc/dc|0", "metro5/pop1/leaf/leaf11|metro5/dc1/dc/dc|0", - "metro1/pop2/leaf/leaf13|metro1/dc1/dc/dc|0", - "metro1/pop1/leaf/leaf10|metro1/dc1/dc/dc|0" + "metro1/pop2/leaf/leaf13|metro1/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -43533,8 +43533,8 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro5/pop2/leaf/leaf1|metro5/dc1/dc/dc|0", "metro2/pop1/leaf/leaf4|metro2/dc1/dc/dc|0", + "metro5/pop2/leaf/leaf1|metro5/dc1/dc/dc|0", "metro5/pop2/leaf/leaf13|metro5/dc1/dc/dc|0" ] }, @@ -43644,10 +43644,10 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro2/pop1/leaf/leaf7|metro2/pop1/spine/spine1|0", - "metro5/pop2/leaf/leaf7|metro5/pop2/spine/spine3|0", "metro1/pop1/leaf/leaf7|metro1/pop1/spine/spine3|0", - "metro1/pop2/leaf/leaf1|metro1/pop2/spine/spine4|0" + "metro1/pop2/leaf/leaf1|metro1/pop2/spine/spine4|0", + "metro5/pop2/leaf/leaf7|metro5/pop2/spine/spine3|0", + "metro2/pop1/leaf/leaf7|metro2/pop1/spine/spine1|0" ] }, "failure_trace": null, @@ -44055,9 +44055,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro2/pop1/leaf/leaf15|metro2/dc1/dc/dc|0", "metro2/pop2/leaf/leaf16|metro2/dc1/dc/dc|0", - "metro5/pop2/leaf/leaf3|metro5/dc1/dc/dc|0" + "metro5/pop2/leaf/leaf3|metro5/dc1/dc/dc|0", + "metro2/pop1/leaf/leaf15|metro2/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -44168,9 +44168,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro1/pop1/leaf/leaf14|metro1/dc1/dc/dc|0", "metro2/pop2/leaf/leaf12|metro2/dc1/dc/dc|0", - "metro2/pop1/leaf/leaf12|metro2/dc1/dc/dc|0" + "metro2/pop1/leaf/leaf12|metro2/dc1/dc/dc|0", + "metro1/pop1/leaf/leaf14|metro1/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -44279,9 +44279,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ + "metro5/pop1/leaf/leaf4|metro5/dc1/dc/dc|0", "metro1/pop1/leaf/leaf5|metro1/dc1/dc/dc|0", - "metro5/pop2/leaf/leaf8|metro5/dc1/dc/dc|0", - "metro5/pop1/leaf/leaf4|metro5/dc1/dc/dc|0" + "metro5/pop2/leaf/leaf8|metro5/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -44393,8 +44393,8 @@ "excluded_nodes": [], "excluded_links": [ "metro5/pop1/leaf/leaf3|metro5/dc1/dc/dc|0", - "metro5/pop1/leaf/leaf9|metro5/dc1/dc/dc|0", - "metro5/pop2/leaf/leaf2|metro5/dc1/dc/dc|0" + "metro5/pop2/leaf/leaf2|metro5/dc1/dc/dc|0", + "metro5/pop1/leaf/leaf9|metro5/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -44503,9 +44503,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro1/pop2/leaf/leaf11|metro1/pop2/spine/spine4|0", "metro2/pop2/leaf/leaf3|metro2/pop2/spine/spine4|0", "metro5/pop2/leaf/leaf3|metro5/pop2/spine/spine1|0", + "metro1/pop2/leaf/leaf11|metro1/pop2/spine/spine4|0", "metro5/pop2/leaf/leaf13|metro5/pop2/spine/spine4|0" ] }, @@ -44605,8 +44605,8 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro2/pop1/leaf/leaf3|metro2/dc1/dc/dc|0", "metro2/pop2/leaf/leaf14|metro2/dc1/dc/dc|0", + "metro2/pop1/leaf/leaf3|metro2/dc1/dc/dc|0", "metro2/pop1/leaf/leaf8|metro2/dc1/dc/dc|0" ] }, @@ -44716,9 +44716,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro2/pop1/leaf/leaf2|metro2/dc1/dc/dc|0", "metro2/pop1/leaf/leaf3|metro2/dc1/dc/dc|0", - "metro5/pop1/leaf/leaf7|metro5/dc1/dc/dc|0" + "metro5/pop1/leaf/leaf7|metro5/dc1/dc/dc|0", + "metro2/pop1/leaf/leaf2|metro2/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -44823,8 +44823,8 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro2/pop2/leaf/leaf6|metro2/dc1/dc/dc|0", "metro2/pop2/leaf/leaf2|metro2/dc1/dc/dc|0", + "metro2/pop2/leaf/leaf6|metro2/dc1/dc/dc|0", "metro1/pop1/leaf/leaf3|metro1/dc1/dc/dc|0" ] }, @@ -44935,8 +44935,8 @@ "excluded_nodes": [], "excluded_links": [ "metro5/pop1/leaf/leaf15|metro5/dc1/dc/dc|0", - "metro1/pop2/leaf/leaf8|metro1/dc1/dc/dc|0", - "metro2/pop1/leaf/leaf11|metro2/dc1/dc/dc|0" + "metro2/pop1/leaf/leaf11|metro2/dc1/dc/dc|0", + "metro1/pop2/leaf/leaf8|metro1/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -45046,8 +45046,8 @@ "excluded_nodes": [], "excluded_links": [ "metro5/pop1/leaf/leaf3|metro5/dc1/dc/dc|0", - "metro1/pop2/leaf/leaf9|metro1/dc1/dc/dc|0", - "metro5/pop2/leaf/leaf10|metro5/dc1/dc/dc|0" + "metro5/pop2/leaf/leaf10|metro5/dc1/dc/dc|0", + "metro1/pop2/leaf/leaf9|metro1/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -45157,8 +45157,8 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro5/pop1/leaf/leaf1|metro5/dc1/dc/dc|0", "metro2/pop1/leaf/leaf16|metro2/dc1/dc/dc|0", + "metro5/pop1/leaf/leaf1|metro5/dc1/dc/dc|0", "metro5/pop2/leaf/leaf12|metro5/dc1/dc/dc|0" ] }, @@ -45270,8 +45270,8 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro2/pop2/leaf/leaf1|metro2/dc1/dc/dc|0", "metro1/pop2/leaf/leaf12|metro1/dc1/dc/dc|0", + "metro2/pop2/leaf/leaf1|metro2/dc1/dc/dc|0", "metro1/pop1/leaf/leaf15|metro1/dc1/dc/dc|0" ] }, @@ -45382,8 +45382,8 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro2/pop1/leaf/leaf15|metro2/dc1/dc/dc|0", "metro2/pop1/leaf/leaf3|metro2/dc1/dc/dc|0", + "metro2/pop1/leaf/leaf15|metro2/dc1/dc/dc|0", "metro1/pop2/leaf/leaf5|metro1/dc1/dc/dc|0" ] }, @@ -45596,8 +45596,8 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro1/pop1/leaf/leaf11|metro1/dc1/dc/dc|0", "metro5/pop2/leaf/leaf11|metro5/dc1/dc/dc|0", + "metro1/pop1/leaf/leaf11|metro1/dc1/dc/dc|0", "metro1/pop2/leaf/leaf14|metro1/dc1/dc/dc|0" ] }, @@ -45710,9 +45710,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro5/pop2/leaf/leaf14|metro5/dc1/dc/dc|0", + "metro5/pop1/leaf/leaf12|metro5/dc1/dc/dc|0", "metro5/pop1/leaf/leaf13|metro5/dc1/dc/dc|0", - "metro5/pop1/leaf/leaf12|metro5/dc1/dc/dc|0" + "metro5/pop2/leaf/leaf14|metro5/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -45820,8 +45820,8 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro2/pop1/leaf/leaf15|metro2/dc1/dc/dc|0", "metro5/pop2/leaf/leaf3|metro5/dc1/dc/dc|0", + "metro2/pop1/leaf/leaf15|metro2/dc1/dc/dc|0", "metro5/pop2/leaf/leaf12|metro5/dc1/dc/dc|0" ] }, @@ -45931,9 +45931,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro1/pop1/leaf/leaf11|metro1/dc1/dc/dc|0", "metro5/pop1/leaf/leaf2|metro5/dc1/dc/dc|0", - "metro5/pop1/leaf/leaf8|metro5/dc1/dc/dc|0" + "metro5/pop1/leaf/leaf8|metro5/dc1/dc/dc|0", + "metro1/pop1/leaf/leaf11|metro1/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -46041,9 +46041,9 @@ "excluded_nodes": [], "excluded_links": [ "metro5/pop1/leaf/leaf10|metro5/pop1/spine/spine1|0", + "metro2/pop1/leaf/leaf11|metro2/pop1/spine/spine2|0", "metro2/pop2/leaf/leaf6|metro2/pop2/spine/spine2|0", - "metro2/pop2/leaf/leaf2|metro2/pop2/spine/spine4|0", - "metro2/pop1/leaf/leaf11|metro2/pop1/spine/spine2|0" + "metro2/pop2/leaf/leaf2|metro2/pop2/spine/spine4|0" ] }, "failure_trace": null, @@ -46251,8 +46251,8 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro5/pop2/leaf/leaf2|metro5/dc1/dc/dc|0", "metro5/pop1/leaf/leaf12|metro5/dc1/dc/dc|0", + "metro5/pop2/leaf/leaf2|metro5/dc1/dc/dc|0", "metro2/pop1/leaf/leaf10|metro2/dc1/dc/dc|0" ] }, @@ -46364,8 +46364,8 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro1/pop1/leaf/leaf2|metro1/dc1/dc/dc|0", "metro2/pop2/leaf/leaf2|metro2/dc1/dc/dc|0", + "metro1/pop1/leaf/leaf2|metro1/dc1/dc/dc|0", "metro5/pop2/leaf/leaf3|metro5/dc1/dc/dc|0" ] }, @@ -46477,9 +46477,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro5/pop2/leaf/leaf5|metro5/dc1/dc/dc|0", + "metro5/pop1/leaf/leaf4|metro5/dc1/dc/dc|0", "metro2/pop1/leaf/leaf4|metro2/dc1/dc/dc|0", - "metro5/pop1/leaf/leaf4|metro5/dc1/dc/dc|0" + "metro5/pop2/leaf/leaf5|metro5/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -46590,10 +46590,10 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro1/pop2/leaf/leaf12|metro1/pop2/spine/spine3|0", + "metro1/pop2/leaf/leaf8|metro1/pop2/spine/spine3|0", "metro1/pop2/leaf/leaf11|metro1/pop2/spine/spine3|0", - "metro5/pop2/leaf/leaf7|metro5/pop2/spine/spine4|0", - "metro1/pop2/leaf/leaf8|metro1/pop2/spine/spine3|0" + "metro1/pop2/leaf/leaf12|metro1/pop2/spine/spine3|0", + "metro5/pop2/leaf/leaf7|metro5/pop2/spine/spine4|0" ] }, "failure_trace": null, @@ -46692,10 +46692,10 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro5/pop2/leaf/leaf1|metro5/pop2/spine/spine3|0", "metro2/pop2/leaf/leaf11|metro2/pop2/spine/spine1|0", "metro1/pop2/leaf/leaf12|metro1/pop2/spine/spine2|0", - "metro5/pop2/leaf/leaf7|metro5/pop2/spine/spine3|0" + "metro5/pop2/leaf/leaf7|metro5/pop2/spine/spine3|0", + "metro5/pop2/leaf/leaf1|metro5/pop2/spine/spine3|0" ] }, "failure_trace": null, @@ -46795,8 +46795,8 @@ "excluded_nodes": [], "excluded_links": [ "metro5/pop1/leaf/leaf11|metro5/dc1/dc/dc|0", - "metro5/pop1/leaf/leaf12|metro5/dc1/dc/dc|0", - "metro2/pop1/leaf/leaf11|metro2/dc1/dc/dc|0" + "metro2/pop1/leaf/leaf11|metro2/dc1/dc/dc|0", + "metro5/pop1/leaf/leaf12|metro5/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -47005,9 +47005,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro1/pop2/leaf/leaf4|metro1/dc1/dc/dc|0", + "metro5/pop2/leaf/leaf9|metro5/dc1/dc/dc|0", "metro5/pop2/leaf/leaf10|metro5/dc1/dc/dc|0", - "metro5/pop2/leaf/leaf9|metro5/dc1/dc/dc|0" + "metro1/pop2/leaf/leaf4|metro1/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -47116,10 +47116,10 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ + "metro5/pop2/leaf/leaf7|metro5/pop2/spine/spine4|0", "metro5/pop2/leaf/leaf1|metro5/pop2/spine/spine3|0", "metro5/pop1/leaf/leaf9|metro5/pop1/spine/spine1|0", - "metro2/pop2/leaf/leaf13|metro2/pop2/spine/spine3|0", - "metro5/pop2/leaf/leaf7|metro5/pop2/spine/spine4|0" + "metro2/pop2/leaf/leaf13|metro2/pop2/spine/spine3|0" ] }, "failure_trace": null, @@ -47331,9 +47331,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro2/pop2/leaf/leaf3|metro2/dc1/dc/dc|0", "metro2/pop1/leaf/leaf16|metro2/dc1/dc/dc|0", - "metro5/pop1/leaf/leaf2|metro5/dc1/dc/dc|0" + "metro5/pop1/leaf/leaf2|metro5/dc1/dc/dc|0", + "metro2/pop2/leaf/leaf3|metro2/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -47555,9 +47555,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ + "metro5/pop1/leaf/leaf11|metro5/dc1/dc/dc|0", "metro2/pop2/leaf/leaf15|metro2/dc1/dc/dc|0", - "metro5/pop1/leaf/leaf16|metro5/dc1/dc/dc|0", - "metro5/pop1/leaf/leaf11|metro5/dc1/dc/dc|0" + "metro5/pop1/leaf/leaf16|metro5/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -47666,9 +47666,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro5/pop2/leaf/leaf14|metro5/dc1/dc/dc|0", "metro1/pop1/leaf/leaf5|metro1/dc1/dc/dc|0", - "metro2/pop1/leaf/leaf5|metro2/dc1/dc/dc|0" + "metro2/pop1/leaf/leaf5|metro2/dc1/dc/dc|0", + "metro5/pop2/leaf/leaf14|metro5/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -47779,10 +47779,10 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro2/pop1/leaf/leaf10|metro2/pop1/spine/spine4|0", - "metro2/pop1/leaf/leaf2|metro2/pop1/spine/spine4|0", "metro1/pop1/leaf/leaf13|metro1/pop1/spine/spine1|0", - "metro2/pop1/leaf/leaf5|metro2/pop1/spine/spine3|0" + "metro2/pop1/leaf/leaf5|metro2/pop1/spine/spine3|0", + "metro2/pop1/leaf/leaf10|metro2/pop1/spine/spine4|0", + "metro2/pop1/leaf/leaf2|metro2/pop1/spine/spine4|0" ] }, "failure_trace": null, @@ -47882,8 +47882,8 @@ "excluded_nodes": [], "excluded_links": [ "metro5/pop1/leaf/leaf1|metro5/dc1/dc/dc|0", - "metro2/pop2/leaf/leaf3|metro2/dc1/dc/dc|0", - "metro1/pop1/leaf/leaf2|metro1/dc1/dc/dc|0" + "metro1/pop1/leaf/leaf2|metro1/dc1/dc/dc|0", + "metro2/pop2/leaf/leaf3|metro2/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -48112,9 +48112,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro2/pop1/leaf/leaf7|metro2/dc1/dc/dc|0", + "metro2/pop1/leaf/leaf16|metro2/dc1/dc/dc|0", "metro2/pop2/leaf/leaf12|metro2/dc1/dc/dc|0", - "metro2/pop1/leaf/leaf16|metro2/dc1/dc/dc|0" + "metro2/pop1/leaf/leaf7|metro2/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -48222,8 +48222,8 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro1/pop1/leaf/leaf7|metro1/dc1/dc/dc|0", "metro5/pop2/leaf/leaf10|metro5/dc1/dc/dc|0", + "metro1/pop1/leaf/leaf7|metro1/dc1/dc/dc|0", "metro2/pop1/leaf/leaf11|metro2/dc1/dc/dc|0" ] }, @@ -48336,8 +48336,8 @@ "excluded_nodes": [], "excluded_links": [ "metro1/pop1/leaf/leaf3|metro1/dc1/dc/dc|0", - "metro5/pop2/leaf/leaf4|metro5/dc1/dc/dc|0", - "metro5/pop1/leaf/leaf8|metro5/dc1/dc/dc|0" + "metro5/pop1/leaf/leaf8|metro5/dc1/dc/dc|0", + "metro5/pop2/leaf/leaf4|metro5/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -48448,9 +48448,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro2/pop2/leaf/leaf1|metro2/dc1/dc/dc|0", "metro1/pop1/leaf/leaf16|metro1/dc1/dc/dc|0", - "metro1/pop2/leaf/leaf3|metro1/dc1/dc/dc|0" + "metro1/pop2/leaf/leaf3|metro1/dc1/dc/dc|0", + "metro2/pop2/leaf/leaf1|metro2/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -48560,9 +48560,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro1/pop1/leaf/leaf11|metro1/dc1/dc/dc|0", "metro5/pop1/leaf/leaf2|metro5/dc1/dc/dc|0", - "metro2/pop1/leaf/leaf1|metro2/dc1/dc/dc|0" + "metro2/pop1/leaf/leaf1|metro2/dc1/dc/dc|0", + "metro1/pop1/leaf/leaf11|metro1/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -48668,8 +48668,8 @@ "excluded_nodes": [], "excluded_links": [ "metro5/pop2/leaf/leaf9|metro5/pop2/spine/spine2|0", - "metro5/pop1/leaf/leaf16|metro5/pop1/spine/spine3|0", "metro5/pop2/leaf/leaf9|metro5/pop2/spine/spine3|0", + "metro5/pop1/leaf/leaf16|metro5/pop1/spine/spine3|0", "metro1/pop1/leaf/leaf11|metro1/pop1/spine/spine2|0" ] }, @@ -48872,10 +48872,10 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ + "metro1/pop1/leaf/leaf3|metro1/pop1/spine/spine3|0", "metro1/pop2/leaf/leaf16|metro1/pop2/spine/spine2|0", "metro2/pop2/leaf/leaf9|metro2/pop2/spine/spine2|0", - "metro2/pop2/leaf/leaf10|metro2/pop2/spine/spine2|0", - "metro1/pop1/leaf/leaf3|metro1/pop1/spine/spine3|0" + "metro2/pop2/leaf/leaf10|metro2/pop2/spine/spine2|0" ] }, "failure_trace": null, @@ -49088,8 +49088,8 @@ "excluded_nodes": [], "excluded_links": [ "metro2/pop2/leaf/leaf9|metro2/dc1/dc/dc|0", - "metro2/pop1/leaf/leaf7|metro2/dc1/dc/dc|0", - "metro1/pop2/leaf/leaf10|metro1/dc1/dc/dc|0" + "metro1/pop2/leaf/leaf10|metro1/dc1/dc/dc|0", + "metro2/pop1/leaf/leaf7|metro2/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -49201,8 +49201,8 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro5/pop2/leaf/leaf4|metro5/dc1/dc/dc|0", "metro2/pop2/leaf/leaf3|metro2/dc1/dc/dc|0", + "metro5/pop2/leaf/leaf4|metro5/dc1/dc/dc|0", "metro1/pop2/leaf/leaf9|metro1/dc1/dc/dc|0" ] }, @@ -49312,9 +49312,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro1/pop2/leaf/leaf9|metro1/dc1/dc/dc|0", "metro5/pop2/leaf/leaf3|metro5/dc1/dc/dc|0", - "metro5/pop2/leaf/leaf10|metro5/dc1/dc/dc|0" + "metro5/pop2/leaf/leaf10|metro5/dc1/dc/dc|0", + "metro1/pop2/leaf/leaf9|metro1/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -49423,9 +49423,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ + "metro2/pop1/leaf/leaf8|metro2/dc1/dc/dc|0", "metro5/pop2/leaf/leaf5|metro5/dc1/dc/dc|0", - "metro2/pop2/leaf/leaf5|metro2/dc1/dc/dc|0", - "metro2/pop1/leaf/leaf8|metro2/dc1/dc/dc|0" + "metro2/pop2/leaf/leaf5|metro2/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -49641,9 +49641,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro2/pop2/leaf/leaf15|metro2/dc1/dc/dc|0", "metro2/pop1/leaf/leaf16|metro2/dc1/dc/dc|0", - "metro5/pop2/leaf/leaf2|metro5/dc1/dc/dc|0" + "metro5/pop2/leaf/leaf2|metro5/dc1/dc/dc|0", + "metro2/pop2/leaf/leaf15|metro2/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -49754,10 +49754,10 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro1/pop1/leaf/leaf12|metro1/pop1/spine/spine1|0", - "metro2/pop1/leaf/leaf6|metro2/pop1/spine/spine3|0", "metro5/pop1/leaf/leaf15|metro5/pop1/spine/spine4|0", - "metro1/pop2/leaf/leaf2|metro1/pop2/spine/spine4|0" + "metro1/pop2/leaf/leaf2|metro1/pop2/spine/spine4|0", + "metro2/pop1/leaf/leaf6|metro2/pop1/spine/spine3|0", + "metro1/pop1/leaf/leaf12|metro1/pop1/spine/spine1|0" ] }, "failure_trace": null, @@ -49856,8 +49856,8 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro1/pop1/leaf/leaf7|metro1/dc1/dc/dc|0", "metro2/pop1/leaf/leaf13|metro2/dc1/dc/dc|0", + "metro1/pop1/leaf/leaf7|metro1/dc1/dc/dc|0", "metro5/pop1/leaf/leaf8|metro5/dc1/dc/dc|0" ] }, @@ -49963,10 +49963,10 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro5/pop1/leaf/leaf3|metro5/pop1/spine/spine2|0", - "metro2/pop1/leaf/leaf1|metro2/pop1/spine/spine1|0", + "metro5/pop2/leaf/leaf13|metro5/pop2/spine/spine4|0", "metro2/pop1/leaf/leaf5|metro2/pop1/spine/spine4|0", - "metro5/pop2/leaf/leaf13|metro5/pop2/spine/spine4|0" + "metro2/pop1/leaf/leaf1|metro2/pop1/spine/spine1|0", + "metro5/pop1/leaf/leaf3|metro5/pop1/spine/spine2|0" ] }, "failure_trace": null, @@ -50065,8 +50065,8 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro2/pop1/leaf/leaf14|metro2/dc1/dc/dc|0", "metro5/pop1/leaf/leaf7|metro5/dc1/dc/dc|0", + "metro2/pop1/leaf/leaf14|metro2/dc1/dc/dc|0", "metro2/pop2/leaf/leaf5|metro2/dc1/dc/dc|0" ] }, @@ -50178,8 +50178,8 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro5/pop1/leaf/leaf8|metro5/dc1/dc/dc|0", "metro1/pop2/leaf/leaf2|metro1/dc1/dc/dc|0", + "metro5/pop1/leaf/leaf8|metro5/dc1/dc/dc|0", "metro1/pop2/leaf/leaf3|metro1/dc1/dc/dc|0" ] }, @@ -50288,8 +50288,8 @@ "excluded_nodes": [], "excluded_links": [ "metro1/pop2/leaf/leaf12|metro1/dc1/dc/dc|0", - "metro5/pop2/leaf/leaf4|metro5/dc1/dc/dc|0", - "metro2/pop1/leaf/leaf1|metro2/dc1/dc/dc|0" + "metro2/pop1/leaf/leaf1|metro2/dc1/dc/dc|0", + "metro5/pop2/leaf/leaf4|metro5/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -50403,10 +50403,10 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro2/pop1/leaf/leaf8|metro2/pop1/spine/spine4|0", - "metro1/pop1/leaf/leaf15|metro1/pop1/spine/spine3|0", "metro5/pop2/leaf/leaf3|metro5/pop2/spine/spine1|0", - "metro1/pop1/leaf/leaf9|metro1/pop1/spine/spine4|0" + "metro1/pop1/leaf/leaf9|metro1/pop1/spine/spine4|0", + "metro2/pop1/leaf/leaf8|metro2/pop1/spine/spine4|0", + "metro1/pop1/leaf/leaf15|metro1/pop1/spine/spine3|0" ] }, "failure_trace": null, @@ -50836,9 +50836,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro5/pop1/leaf/leaf14|metro5/dc1/dc/dc|0", "metro2/pop1/leaf/leaf13|metro2/dc1/dc/dc|0", - "metro5/pop2/leaf/leaf15|metro5/dc1/dc/dc|0" + "metro5/pop2/leaf/leaf15|metro5/dc1/dc/dc|0", + "metro5/pop1/leaf/leaf14|metro5/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -50949,9 +50949,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ + "metro1/pop1/leaf/leaf6|metro1/dc1/dc/dc|0", "metro2/pop1/leaf/leaf15|metro2/dc1/dc/dc|0", - "metro5/pop1/leaf/leaf13|metro5/dc1/dc/dc|0", - "metro1/pop1/leaf/leaf6|metro1/dc1/dc/dc|0" + "metro5/pop1/leaf/leaf13|metro5/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -51057,8 +51057,8 @@ "excluded_nodes": [], "excluded_links": [ "metro2/pop1/leaf/leaf2|metro2/dc1/dc/dc|0", - "metro2/pop2/leaf/leaf3|metro2/dc1/dc/dc|0", - "metro2/pop1/leaf/leaf12|metro2/dc1/dc/dc|0" + "metro2/pop1/leaf/leaf12|metro2/dc1/dc/dc|0", + "metro2/pop2/leaf/leaf3|metro2/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -51167,9 +51167,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ + "metro2/pop1/leaf/leaf11|metro2/dc1/dc/dc|0", "metro1/pop1/leaf/leaf16|metro1/dc1/dc/dc|0", - "metro2/pop2/leaf/leaf11|metro2/dc1/dc/dc|0", - "metro2/pop1/leaf/leaf11|metro2/dc1/dc/dc|0" + "metro2/pop2/leaf/leaf11|metro2/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -51279,9 +51279,9 @@ "excluded_nodes": [], "excluded_links": [ "metro1/pop2/leaf/leaf14|metro1/pop2/spine/spine1|0", - "metro5/pop2/leaf/leaf5|metro5/pop2/spine/spine2|0", + "metro2/pop2/leaf/leaf9|metro2/pop2/spine/spine1|0", "metro2/pop1/leaf/leaf4|metro2/pop1/spine/spine2|0", - "metro2/pop2/leaf/leaf9|metro2/pop2/spine/spine1|0" + "metro5/pop2/leaf/leaf5|metro5/pop2/spine/spine2|0" ] }, "failure_trace": null, @@ -51380,9 +51380,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro1/pop2/leaf/leaf15|metro1/dc1/dc/dc|0", "metro1/pop1/leaf/leaf8|metro1/dc1/dc/dc|0", - "metro2/pop1/leaf/leaf10|metro2/dc1/dc/dc|0" + "metro2/pop1/leaf/leaf10|metro2/dc1/dc/dc|0", + "metro1/pop2/leaf/leaf15|metro1/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -51491,9 +51491,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro2/pop1/leaf/leaf15|metro2/dc1/dc/dc|0", "metro5/pop1/leaf/leaf3|metro5/dc1/dc/dc|0", - "metro2/pop1/leaf/leaf9|metro2/dc1/dc/dc|0" + "metro2/pop1/leaf/leaf9|metro2/dc1/dc/dc|0", + "metro2/pop1/leaf/leaf15|metro2/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -51598,9 +51598,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro5/pop1/leaf/leaf15|metro5/dc1/dc/dc|0", "metro2/pop2/leaf/leaf12|metro2/dc1/dc/dc|0", - "metro1/pop2/leaf/leaf6|metro1/dc1/dc/dc|0" + "metro1/pop2/leaf/leaf6|metro1/dc1/dc/dc|0", + "metro5/pop1/leaf/leaf15|metro5/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -51924,9 +51924,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro1/pop1/leaf/leaf14|metro1/dc1/dc/dc|0", "metro2/pop2/leaf/leaf6|metro2/dc1/dc/dc|0", - "metro1/pop1/leaf/leaf16|metro1/dc1/dc/dc|0" + "metro1/pop1/leaf/leaf16|metro1/dc1/dc/dc|0", + "metro1/pop1/leaf/leaf14|metro1/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -52035,9 +52035,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ + "metro5/pop2/leaf/leaf3|metro5/dc1/dc/dc|0", "metro2/pop2/leaf/leaf6|metro2/dc1/dc/dc|0", - "metro1/pop1/leaf/leaf4|metro1/dc1/dc/dc|0", - "metro5/pop2/leaf/leaf3|metro5/dc1/dc/dc|0" + "metro1/pop1/leaf/leaf4|metro1/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -52148,9 +52148,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro2/pop1/leaf/leaf6|metro2/pop1/spine/spine1|0", - "metro2/pop2/leaf/leaf8|metro2/pop2/spine/spine3|0", "metro1/pop1/leaf/leaf13|metro1/pop1/spine/spine1|0", + "metro2/pop2/leaf/leaf8|metro2/pop2/spine/spine3|0", + "metro2/pop1/leaf/leaf6|metro2/pop1/spine/spine1|0", "metro2/pop2/leaf/leaf2|metro2/pop2/spine/spine2|0" ] }, @@ -52250,9 +52250,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro5/pop2/leaf/leaf3|metro5/pop2/spine/spine4|0", - "metro2/pop2/leaf/leaf2|metro2/pop2/spine/spine3|0", "metro1/pop1/leaf/leaf10|metro1/pop1/spine/spine2|0", + "metro2/pop2/leaf/leaf2|metro2/pop2/spine/spine3|0", + "metro5/pop2/leaf/leaf3|metro5/pop2/spine/spine4|0", "metro2/pop2/leaf/leaf16|metro2/pop2/spine/spine4|0" ] }, @@ -52352,9 +52352,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ + "metro1/pop1/leaf/leaf3|metro1/dc1/dc/dc|0", "metro1/pop1/leaf/leaf14|metro1/dc1/dc/dc|0", - "metro1/pop2/leaf/leaf15|metro1/dc1/dc/dc|0", - "metro1/pop1/leaf/leaf3|metro1/dc1/dc/dc|0" + "metro1/pop2/leaf/leaf15|metro1/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -52564,9 +52564,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro2/pop2/leaf/leaf9|metro2/dc1/dc/dc|0", + "metro1/pop1/leaf/leaf6|metro1/dc1/dc/dc|0", "metro1/pop1/leaf/leaf15|metro1/dc1/dc/dc|0", - "metro1/pop1/leaf/leaf6|metro1/dc1/dc/dc|0" + "metro2/pop2/leaf/leaf9|metro2/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -52675,9 +52675,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro1/pop1/leaf/leaf16|metro1/dc1/dc/dc|0", "metro5/pop1/leaf/leaf3|metro5/dc1/dc/dc|0", - "metro2/pop1/leaf/leaf9|metro2/dc1/dc/dc|0" + "metro2/pop1/leaf/leaf9|metro2/dc1/dc/dc|0", + "metro1/pop1/leaf/leaf16|metro1/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -52783,8 +52783,8 @@ "excluded_nodes": [], "excluded_links": [ "metro2/pop2/leaf/leaf3|metro2/dc1/dc/dc|0", - "metro5/pop1/leaf/leaf9|metro5/dc1/dc/dc|0", - "metro5/pop1/leaf/leaf12|metro5/dc1/dc/dc|0" + "metro5/pop1/leaf/leaf12|metro5/dc1/dc/dc|0", + "metro5/pop1/leaf/leaf9|metro5/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -52893,9 +52893,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro5/pop2/leaf/leaf14|metro5/dc1/dc/dc|0", "metro2/pop1/leaf/leaf3|metro2/dc1/dc/dc|0", - "metro5/pop2/leaf/leaf4|metro5/dc1/dc/dc|0" + "metro5/pop2/leaf/leaf4|metro5/dc1/dc/dc|0", + "metro5/pop2/leaf/leaf14|metro5/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -53107,8 +53107,8 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro2/pop1/leaf/leaf7|metro2/dc1/dc/dc|0", "metro2/pop2/leaf/leaf10|metro2/dc1/dc/dc|0", + "metro2/pop1/leaf/leaf7|metro2/dc1/dc/dc|0", "metro1/pop1/leaf/leaf12|metro1/dc1/dc/dc|0" ] }, @@ -53219,8 +53219,8 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro2/pop1/leaf/leaf14|metro2/dc1/dc/dc|0", "metro5/pop1/leaf/leaf15|metro5/dc1/dc/dc|0", + "metro2/pop1/leaf/leaf14|metro2/dc1/dc/dc|0", "metro2/pop1/leaf/leaf5|metro2/dc1/dc/dc|0" ] }, @@ -53326,10 +53326,10 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro5/pop1/leaf/leaf13|metro5/pop1/spine/spine2|0", - "metro2/pop1/leaf/leaf4|metro2/pop1/spine/spine1|0", "metro1/pop1/leaf/leaf1|metro1/pop1/spine/spine2|0", - "metro5/pop1/leaf/leaf6|metro5/pop1/spine/spine3|0" + "metro2/pop1/leaf/leaf4|metro2/pop1/spine/spine1|0", + "metro5/pop1/leaf/leaf6|metro5/pop1/spine/spine3|0", + "metro5/pop1/leaf/leaf13|metro5/pop1/spine/spine2|0" ] }, "failure_trace": null, @@ -53428,9 +53428,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ + "metro2/pop2/leaf/leaf2|metro2/dc1/dc/dc|0", "metro5/pop1/leaf/leaf6|metro5/dc1/dc/dc|0", - "metro1/pop2/leaf/leaf16|metro1/dc1/dc/dc|0", - "metro2/pop2/leaf/leaf2|metro2/dc1/dc/dc|0" + "metro1/pop2/leaf/leaf16|metro1/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -53540,8 +53540,8 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro5/pop2/leaf/leaf5|metro5/dc1/dc/dc|0", "metro5/pop2/leaf/leaf11|metro5/dc1/dc/dc|0", + "metro5/pop2/leaf/leaf5|metro5/dc1/dc/dc|0", "metro1/pop2/leaf/leaf8|metro1/dc1/dc/dc|0" ] }, @@ -53651,9 +53651,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ + "metro1/pop1/leaf/leaf9|metro1/dc1/dc/dc|0", "metro2/pop1/leaf/leaf14|metro2/dc1/dc/dc|0", - "metro5/pop1/leaf/leaf16|metro5/dc1/dc/dc|0", - "metro1/pop1/leaf/leaf9|metro1/dc1/dc/dc|0" + "metro5/pop1/leaf/leaf16|metro5/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -53758,8 +53758,8 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro1/pop2/leaf/leaf3|metro1/dc1/dc/dc|0", "metro1/pop1/leaf/leaf8|metro1/dc1/dc/dc|0", + "metro1/pop2/leaf/leaf3|metro1/dc1/dc/dc|0", "metro5/pop2/leaf/leaf12|metro5/dc1/dc/dc|0" ] }, @@ -53872,9 +53872,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro2/pop1/leaf/leaf2|metro2/dc1/dc/dc|0", "metro1/pop1/leaf/leaf2|metro1/dc1/dc/dc|0", - "metro5/pop2/leaf/leaf9|metro5/dc1/dc/dc|0" + "metro5/pop2/leaf/leaf9|metro5/dc1/dc/dc|0", + "metro2/pop1/leaf/leaf2|metro2/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -53985,8 +53985,8 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro1/pop1/leaf/leaf16|metro1/dc1/dc/dc|0", "metro5/pop2/leaf/leaf6|metro5/dc1/dc/dc|0", + "metro1/pop1/leaf/leaf16|metro1/dc1/dc/dc|0", "metro2/pop2/leaf/leaf5|metro2/dc1/dc/dc|0" ] }, @@ -54098,9 +54098,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ + "metro1/pop2/leaf/leaf16|metro1/dc1/dc/dc|0", "metro2/pop2/leaf/leaf15|metro2/dc1/dc/dc|0", - "metro5/pop1/leaf/leaf6|metro5/dc1/dc/dc|0", - "metro1/pop2/leaf/leaf16|metro1/dc1/dc/dc|0" + "metro5/pop1/leaf/leaf6|metro5/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -54210,8 +54210,8 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro1/pop1/leaf/leaf5|metro1/dc1/dc/dc|0", "metro2/pop2/leaf/leaf2|metro2/dc1/dc/dc|0", + "metro1/pop1/leaf/leaf5|metro1/dc1/dc/dc|0", "metro5/pop1/leaf/leaf6|metro5/dc1/dc/dc|0" ] }, @@ -54426,10 +54426,10 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro2/pop1/leaf/leaf2|metro2/pop1/spine/spine4|0", - "metro1/pop2/leaf/leaf5|metro1/pop2/spine/spine1|0", "metro2/pop2/leaf/leaf14|metro2/pop2/spine/spine1|0", - "metro5/pop2/leaf/leaf4|metro5/pop2/spine/spine4|0" + "metro5/pop2/leaf/leaf4|metro5/pop2/spine/spine4|0", + "metro2/pop1/leaf/leaf2|metro2/pop1/spine/spine4|0", + "metro1/pop2/leaf/leaf5|metro1/pop2/spine/spine1|0" ] }, "failure_trace": null, @@ -54528,10 +54528,10 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ + "metro2/pop1/leaf/leaf5|metro2/pop1/spine/spine4|0", "metro5/pop1/leaf/leaf16|metro5/pop1/spine/spine2|0", "metro5/pop2/leaf/leaf16|metro5/pop2/spine/spine3|0", - "metro2/pop1/leaf/leaf13|metro2/pop1/spine/spine4|0", - "metro2/pop1/leaf/leaf5|metro2/pop1/spine/spine4|0" + "metro2/pop1/leaf/leaf13|metro2/pop1/spine/spine4|0" ] }, "failure_trace": null, @@ -54630,10 +54630,10 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro1/pop1/leaf/leaf2|metro1/pop1/spine/spine2|0", + "metro2/pop2/leaf/leaf15|metro2/pop2/spine/spine4|0", "metro1/pop1/leaf/leaf6|metro1/pop1/spine/spine4|0", "metro5/pop2/leaf/leaf13|metro5/pop2/spine/spine1|0", - "metro2/pop2/leaf/leaf15|metro2/pop2/spine/spine4|0" + "metro1/pop1/leaf/leaf2|metro1/pop1/spine/spine2|0" ] }, "failure_trace": null, @@ -54732,9 +54732,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ + "metro5/pop1/leaf/leaf11|metro5/dc1/dc/dc|0", "metro2/pop1/leaf/leaf2|metro2/dc1/dc/dc|0", - "metro1/pop1/leaf/leaf4|metro1/dc1/dc/dc|0", - "metro5/pop1/leaf/leaf11|metro5/dc1/dc/dc|0" + "metro1/pop1/leaf/leaf4|metro1/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -54839,9 +54839,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro5/pop2/leaf/leaf6|metro5/dc1/dc/dc|0", + "metro1/pop2/leaf/leaf11|metro1/dc1/dc/dc|0", "metro1/pop2/leaf/leaf8|metro1/dc1/dc/dc|0", - "metro1/pop2/leaf/leaf11|metro1/dc1/dc/dc|0" + "metro5/pop2/leaf/leaf6|metro5/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -55064,9 +55064,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro1/pop1/leaf/leaf15|metro1/dc1/dc/dc|0", "metro2/pop1/leaf/leaf3|metro2/dc1/dc/dc|0", - "metro2/pop2/leaf/leaf3|metro2/dc1/dc/dc|0" + "metro2/pop2/leaf/leaf3|metro2/dc1/dc/dc|0", + "metro1/pop1/leaf/leaf15|metro1/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -55175,10 +55175,10 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro2/pop1/leaf/leaf2|metro2/pop1/spine/spine1|0", - "metro5/pop2/leaf/leaf8|metro5/pop2/spine/spine3|0", "metro1/pop2/leaf/leaf15|metro1/pop2/spine/spine4|0", - "metro2/pop2/leaf/leaf16|metro2/pop2/spine/spine1|0" + "metro5/pop2/leaf/leaf8|metro5/pop2/spine/spine3|0", + "metro2/pop2/leaf/leaf16|metro2/pop2/spine/spine1|0", + "metro2/pop1/leaf/leaf2|metro2/pop1/spine/spine1|0" ] }, "failure_trace": null, @@ -55277,9 +55277,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro1/pop2/leaf/leaf4|metro1/dc1/dc/dc|0", "metro5/pop1/leaf/leaf10|metro5/dc1/dc/dc|0", - "metro5/pop1/leaf/leaf2|metro5/dc1/dc/dc|0" + "metro5/pop1/leaf/leaf2|metro5/dc1/dc/dc|0", + "metro1/pop2/leaf/leaf4|metro1/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -55386,9 +55386,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ + "metro2/pop1/leaf/leaf9|metro2/dc1/dc/dc|0", "metro2/pop1/leaf/leaf2|metro2/dc1/dc/dc|0", - "metro5/pop2/leaf/leaf5|metro5/dc1/dc/dc|0", - "metro2/pop1/leaf/leaf9|metro2/dc1/dc/dc|0" + "metro5/pop2/leaf/leaf5|metro5/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -55497,9 +55497,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro1/pop1/leaf/leaf14|metro1/dc1/dc/dc|0", "metro5/pop1/leaf/leaf1|metro5/dc1/dc/dc|0", - "metro1/pop1/leaf/leaf7|metro1/dc1/dc/dc|0" + "metro1/pop1/leaf/leaf7|metro1/dc1/dc/dc|0", + "metro1/pop1/leaf/leaf14|metro1/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -55719,9 +55719,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro2/pop2/leaf/leaf1|metro2/dc1/dc/dc|0", "metro2/pop1/leaf/leaf4|metro2/dc1/dc/dc|0", - "metro2/pop1/leaf/leaf9|metro2/dc1/dc/dc|0" + "metro2/pop1/leaf/leaf9|metro2/dc1/dc/dc|0", + "metro2/pop2/leaf/leaf1|metro2/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -55828,9 +55828,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro1/pop1/leaf/leaf14|metro1/dc1/dc/dc|0", "metro5/pop2/leaf/leaf11|metro5/dc1/dc/dc|0", - "metro2/pop2/leaf/leaf12|metro2/dc1/dc/dc|0" + "metro2/pop2/leaf/leaf12|metro2/dc1/dc/dc|0", + "metro1/pop1/leaf/leaf14|metro1/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -55942,8 +55942,8 @@ "excluded_nodes": [], "excluded_links": [ "metro2/pop1/leaf/leaf2|metro2/dc1/dc/dc|0", - "metro1/pop2/leaf/leaf16|metro1/dc1/dc/dc|0", - "metro5/pop1/leaf/leaf9|metro5/dc1/dc/dc|0" + "metro5/pop1/leaf/leaf9|metro5/dc1/dc/dc|0", + "metro1/pop2/leaf/leaf16|metro1/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -56052,8 +56052,8 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro5/pop2/leaf/leaf4|metro5/dc1/dc/dc|0", "metro2/pop2/leaf/leaf2|metro2/dc1/dc/dc|0", + "metro5/pop2/leaf/leaf4|metro5/dc1/dc/dc|0", "metro2/pop1/leaf/leaf1|metro2/dc1/dc/dc|0" ] }, @@ -56269,8 +56269,8 @@ "excluded_nodes": [], "excluded_links": [ "metro2/pop1/leaf/leaf4|metro2/pop1/spine/spine1|0", - "metro5/pop2/leaf/leaf15|metro5/pop2/spine/spine1|0", "metro2/pop1/leaf/leaf8|metro2/pop1/spine/spine3|0", + "metro5/pop2/leaf/leaf15|metro5/pop2/spine/spine1|0", "metro5/pop2/leaf/leaf13|metro5/pop2/spine/spine4|0" ] }, @@ -56370,9 +56370,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ + "metro2/pop1/leaf/leaf5|metro2/dc1/dc/dc|0", "metro5/pop1/leaf/leaf15|metro5/dc1/dc/dc|0", - "metro2/pop2/leaf/leaf5|metro2/dc1/dc/dc|0", - "metro2/pop1/leaf/leaf5|metro2/dc1/dc/dc|0" + "metro2/pop2/leaf/leaf5|metro2/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -56481,10 +56481,10 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro2/pop2/leaf/leaf15|metro2/pop2/spine/spine4|0", "metro2/pop2/leaf/leaf13|metro2/pop2/spine/spine4|0", - "metro1/pop2/leaf/leaf8|metro1/pop2/spine/spine2|0", - "metro1/pop1/leaf/leaf7|metro1/pop1/spine/spine4|0" + "metro2/pop2/leaf/leaf15|metro2/pop2/spine/spine4|0", + "metro1/pop1/leaf/leaf7|metro1/pop1/spine/spine4|0", + "metro1/pop2/leaf/leaf8|metro1/pop2/spine/spine2|0" ] }, "failure_trace": null, @@ -56583,9 +56583,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro5/pop1/leaf/leaf9|metro5/dc1/dc/dc|0", "metro5/pop1/leaf/leaf2|metro5/dc1/dc/dc|0", - "metro2/pop1/leaf/leaf9|metro2/dc1/dc/dc|0" + "metro2/pop1/leaf/leaf9|metro2/dc1/dc/dc|0", + "metro5/pop1/leaf/leaf9|metro5/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -56692,9 +56692,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ + "metro5/pop1/leaf/leaf8|metro5/dc1/dc/dc|0", "metro1/pop2/leaf/leaf10|metro1/dc1/dc/dc|0", - "metro2/pop2/leaf/leaf1|metro2/dc1/dc/dc|0", - "metro5/pop1/leaf/leaf8|metro5/dc1/dc/dc|0" + "metro2/pop2/leaf/leaf1|metro2/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -56805,8 +56805,8 @@ "excluded_nodes": [], "excluded_links": [ "metro2/pop2/leaf/leaf8|metro2/dc1/dc/dc|0", - "metro2/pop2/leaf/leaf11|metro2/dc1/dc/dc|0", - "metro5/pop2/leaf/leaf4|metro5/dc1/dc/dc|0" + "metro5/pop2/leaf/leaf4|metro5/dc1/dc/dc|0", + "metro2/pop2/leaf/leaf11|metro2/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -56913,9 +56913,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro2/pop2/leaf/leaf15|metro2/dc1/dc/dc|0", "metro2/pop1/leaf/leaf4|metro2/dc1/dc/dc|0", - "metro2/pop1/leaf/leaf3|metro2/dc1/dc/dc|0" + "metro2/pop1/leaf/leaf3|metro2/dc1/dc/dc|0", + "metro2/pop2/leaf/leaf15|metro2/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -57132,8 +57132,8 @@ "excluded_nodes": [], "excluded_links": [ "metro2/pop1/leaf/leaf4|metro2/dc1/dc/dc|0", - "metro2/pop1/leaf/leaf12|metro2/dc1/dc/dc|0", - "metro2/pop2/leaf/leaf3|metro2/dc1/dc/dc|0" + "metro2/pop2/leaf/leaf3|metro2/dc1/dc/dc|0", + "metro2/pop1/leaf/leaf12|metro2/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -57242,9 +57242,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro1/pop1/leaf/leaf13|metro1/pop1/spine/spine3|0", - "metro2/pop1/leaf/leaf16|metro2/pop1/spine/spine3|0", "metro5/pop2/leaf/leaf5|metro5/pop2/spine/spine3|0", + "metro2/pop1/leaf/leaf16|metro2/pop1/spine/spine3|0", + "metro1/pop1/leaf/leaf13|metro1/pop1/spine/spine3|0", "metro2/pop1/leaf/leaf15|metro2/pop1/spine/spine2|0" ] }, @@ -57344,9 +57344,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro1/pop1/leaf/leaf12|metro1/dc1/dc/dc|0", + "metro1/pop2/leaf/leaf13|metro1/dc1/dc/dc|0", "metro1/pop1/leaf/leaf14|metro1/dc1/dc/dc|0", - "metro1/pop2/leaf/leaf13|metro1/dc1/dc/dc|0" + "metro1/pop1/leaf/leaf12|metro1/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -57453,9 +57453,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro2/pop2/leaf/leaf15|metro2/dc1/dc/dc|0", "metro1/pop1/leaf/leaf7|metro1/dc1/dc/dc|0", - "metro1/pop1/leaf/leaf4|metro1/dc1/dc/dc|0" + "metro1/pop1/leaf/leaf4|metro1/dc1/dc/dc|0", + "metro2/pop2/leaf/leaf15|metro2/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -57564,8 +57564,8 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro1/pop2/leaf/leaf10|metro1/dc1/dc/dc|0", "metro5/pop2/leaf/leaf9|metro5/dc1/dc/dc|0", + "metro1/pop2/leaf/leaf10|metro1/dc1/dc/dc|0", "metro5/pop2/leaf/leaf2|metro5/dc1/dc/dc|0" ] }, @@ -57675,10 +57675,10 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro2/pop1/leaf/leaf6|metro2/pop1/spine/spine1|0", "metro1/pop2/leaf/leaf14|metro1/pop2/spine/spine2|0", + "metro1/pop1/leaf/leaf14|metro1/pop1/spine/spine2|0", "metro2/pop2/leaf/leaf6|metro2/pop2/spine/spine2|0", - "metro1/pop1/leaf/leaf14|metro1/pop1/spine/spine2|0" + "metro2/pop1/leaf/leaf6|metro2/pop1/spine/spine1|0" ] }, "failure_trace": null, @@ -57883,8 +57883,8 @@ "excluded_nodes": [], "excluded_links": [ "metro5/pop1/leaf/leaf10|metro5/dc1/dc/dc|0", - "metro5/pop2/leaf/leaf8|metro5/dc1/dc/dc|0", - "metro2/pop1/leaf/leaf11|metro2/dc1/dc/dc|0" + "metro2/pop1/leaf/leaf11|metro2/dc1/dc/dc|0", + "metro5/pop2/leaf/leaf8|metro5/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -57995,9 +57995,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro5/pop2/leaf/leaf6|metro5/dc1/dc/dc|0", + "metro5/pop2/leaf/leaf9|metro5/dc1/dc/dc|0", "metro1/pop1/leaf/leaf4|metro1/dc1/dc/dc|0", - "metro5/pop2/leaf/leaf9|metro5/dc1/dc/dc|0" + "metro5/pop2/leaf/leaf6|metro5/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -58106,8 +58106,8 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro5/pop2/leaf/leaf16|metro5/dc1/dc/dc|0", "metro5/pop1/leaf/leaf11|metro5/dc1/dc/dc|0", + "metro5/pop2/leaf/leaf16|metro5/dc1/dc/dc|0", "metro5/pop1/leaf/leaf6|metro5/dc1/dc/dc|0" ] }, @@ -58217,9 +58217,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro5/pop2/leaf/leaf8|metro5/dc1/dc/dc|0", + "metro5/pop1/leaf/leaf8|metro5/dc1/dc/dc|0", "metro1/pop2/leaf/leaf3|metro1/dc1/dc/dc|0", - "metro5/pop1/leaf/leaf8|metro5/dc1/dc/dc|0" + "metro5/pop2/leaf/leaf8|metro5/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -58545,8 +58545,8 @@ "excluded_nodes": [], "excluded_links": [ "metro1/pop1/leaf/leaf11|metro1/dc1/dc/dc|0", - "metro1/pop1/leaf/leaf15|metro1/dc1/dc/dc|0", - "metro1/pop2/leaf/leaf6|metro1/dc1/dc/dc|0" + "metro1/pop2/leaf/leaf6|metro1/dc1/dc/dc|0", + "metro1/pop1/leaf/leaf15|metro1/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -58654,8 +58654,8 @@ "excluded_nodes": [], "excluded_links": [ "metro2/pop2/leaf/leaf9|metro2/dc1/dc/dc|0", - "metro2/pop2/leaf/leaf15|metro2/dc1/dc/dc|0", - "metro2/pop1/leaf/leaf8|metro2/dc1/dc/dc|0" + "metro2/pop1/leaf/leaf8|metro2/dc1/dc/dc|0", + "metro2/pop2/leaf/leaf15|metro2/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -58764,10 +58764,10 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro1/pop1/leaf/leaf12|metro1/pop1/spine/spine3|0", "metro2/pop2/leaf/leaf9|metro2/pop2/spine/spine3|0", + "metro5/pop2/leaf/leaf16|metro5/pop2/spine/spine1|0", "metro1/pop2/leaf/leaf2|metro1/pop2/spine/spine2|0", - "metro5/pop2/leaf/leaf16|metro5/pop2/spine/spine1|0" + "metro1/pop1/leaf/leaf12|metro1/pop1/spine/spine3|0" ] }, "failure_trace": null, @@ -58970,8 +58970,8 @@ "excluded_nodes": [], "excluded_links": [ "metro2/pop1/leaf/leaf13|metro2/pop1/spine/spine2|0", - "metro2/pop1/leaf/leaf1|metro2/pop1/spine/spine1|0", "metro2/pop2/leaf/leaf13|metro2/pop2/spine/spine2|0", + "metro2/pop1/leaf/leaf1|metro2/pop1/spine/spine1|0", "metro1/pop2/leaf/leaf4|metro1/pop2/spine/spine4|0" ] }, @@ -59071,9 +59071,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro1/pop2/leaf/leaf11|metro1/dc1/dc/dc|0", "metro5/pop1/leaf/leaf7|metro5/dc1/dc/dc|0", - "metro5/pop1/leaf/leaf12|metro5/dc1/dc/dc|0" + "metro5/pop1/leaf/leaf12|metro5/dc1/dc/dc|0", + "metro1/pop2/leaf/leaf11|metro1/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -59180,8 +59180,8 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro2/pop1/leaf/leaf6|metro2/dc1/dc/dc|0", "metro1/pop1/leaf/leaf11|metro1/dc1/dc/dc|0", + "metro2/pop1/leaf/leaf6|metro2/dc1/dc/dc|0", "metro5/pop2/leaf/leaf16|metro5/dc1/dc/dc|0" ] }, @@ -59293,10 +59293,10 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro2/pop1/leaf/leaf14|metro2/pop1/spine/spine2|0", "metro2/pop1/leaf/leaf7|metro2/pop1/spine/spine2|0", - "metro2/pop1/leaf/leaf8|metro2/pop1/spine/spine3|0", - "metro2/pop2/leaf/leaf12|metro2/pop2/spine/spine3|0" + "metro2/pop1/leaf/leaf14|metro2/pop1/spine/spine2|0", + "metro2/pop2/leaf/leaf12|metro2/pop2/spine/spine3|0", + "metro2/pop1/leaf/leaf8|metro2/pop1/spine/spine3|0" ] }, "failure_trace": null, @@ -59507,8 +59507,8 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro2/pop1/leaf/leaf14|metro2/dc1/dc/dc|0", "metro2/pop2/leaf/leaf13|metro2/dc1/dc/dc|0", + "metro2/pop1/leaf/leaf14|metro2/dc1/dc/dc|0", "metro5/pop2/leaf/leaf7|metro5/dc1/dc/dc|0" ] }, @@ -59732,9 +59732,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro1/pop2/leaf/leaf15|metro1/dc1/dc/dc|0", "metro2/pop2/leaf/leaf12|metro2/dc1/dc/dc|0", - "metro5/pop2/leaf/leaf13|metro5/dc1/dc/dc|0" + "metro5/pop2/leaf/leaf13|metro5/dc1/dc/dc|0", + "metro1/pop2/leaf/leaf15|metro1/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -59942,9 +59942,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ + "metro1/pop2/leaf/leaf3|metro1/dc1/dc/dc|0", "metro2/pop2/leaf/leaf15|metro2/dc1/dc/dc|0", - "metro1/pop2/leaf/leaf6|metro1/dc1/dc/dc|0", - "metro1/pop2/leaf/leaf3|metro1/dc1/dc/dc|0" + "metro1/pop2/leaf/leaf6|metro1/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -60052,9 +60052,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ + "metro1/pop2/leaf/leaf8|metro1/dc1/dc/dc|0", "metro5/pop1/leaf/leaf13|metro5/dc1/dc/dc|0", - "metro1/pop2/leaf/leaf16|metro1/dc1/dc/dc|0", - "metro1/pop2/leaf/leaf8|metro1/dc1/dc/dc|0" + "metro1/pop2/leaf/leaf16|metro1/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -60260,9 +60260,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro1/pop2/leaf/leaf15|metro1/dc1/dc/dc|0", + "metro5/pop2/leaf/leaf7|metro5/dc1/dc/dc|0", "metro5/pop1/leaf/leaf13|metro5/dc1/dc/dc|0", - "metro5/pop2/leaf/leaf7|metro5/dc1/dc/dc|0" + "metro1/pop2/leaf/leaf15|metro1/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -60374,10 +60374,10 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro1/pop2/leaf/leaf12|metro1/pop2/spine/spine1|0", "metro1/pop2/leaf/leaf3|metro1/pop2/spine/spine4|0", - "metro2/pop2/leaf/leaf5|metro2/pop2/spine/spine4|0", - "metro2/pop2/leaf/leaf16|metro2/pop2/spine/spine1|0" + "metro1/pop2/leaf/leaf12|metro1/pop2/spine/spine1|0", + "metro2/pop2/leaf/leaf16|metro2/pop2/spine/spine1|0", + "metro2/pop2/leaf/leaf5|metro2/pop2/spine/spine4|0" ] }, "failure_trace": null, @@ -60476,9 +60476,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro2/pop2/leaf/leaf1|metro2/dc1/dc/dc|0", + "metro1/pop2/leaf/leaf6|metro1/dc1/dc/dc|0", "metro1/pop1/leaf/leaf5|metro1/dc1/dc/dc|0", - "metro1/pop2/leaf/leaf6|metro1/dc1/dc/dc|0" + "metro2/pop2/leaf/leaf1|metro2/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -60804,9 +60804,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ + "metro5/pop2/leaf/leaf3|metro5/dc1/dc/dc|0", "metro1/pop1/leaf/leaf7|metro1/dc1/dc/dc|0", - "metro5/pop1/leaf/leaf7|metro5/dc1/dc/dc|0", - "metro5/pop2/leaf/leaf3|metro5/dc1/dc/dc|0" + "metro5/pop1/leaf/leaf7|metro5/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -61029,8 +61029,8 @@ "excluded_nodes": [], "excluded_links": [ "metro5/pop2/leaf/leaf5|metro5/dc1/dc/dc|0", - "metro5/pop1/leaf/leaf13|metro5/dc1/dc/dc|0", - "metro5/pop2/leaf/leaf2|metro5/dc1/dc/dc|0" + "metro5/pop2/leaf/leaf2|metro5/dc1/dc/dc|0", + "metro5/pop1/leaf/leaf13|metro5/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -61139,9 +61139,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ + "metro5/pop1/leaf/leaf7|metro5/dc1/dc/dc|0", "metro2/pop1/leaf/leaf14|metro2/dc1/dc/dc|0", - "metro1/pop1/leaf/leaf5|metro1/dc1/dc/dc|0", - "metro5/pop1/leaf/leaf7|metro5/dc1/dc/dc|0" + "metro1/pop1/leaf/leaf5|metro1/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -61246,8 +61246,8 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro5/pop2/leaf/leaf13|metro5/dc1/dc/dc|0", "metro2/pop2/leaf/leaf2|metro2/dc1/dc/dc|0", + "metro5/pop2/leaf/leaf13|metro5/dc1/dc/dc|0", "metro5/pop2/leaf/leaf4|metro5/dc1/dc/dc|0" ] }, @@ -61356,8 +61356,8 @@ "excluded_nodes": [], "excluded_links": [ "metro2/pop2/leaf/leaf13|metro2/dc1/dc/dc|0", - "metro5/pop2/leaf/leaf14|metro5/dc1/dc/dc|0", - "metro2/pop1/leaf/leaf10|metro2/dc1/dc/dc|0" + "metro2/pop1/leaf/leaf10|metro2/dc1/dc/dc|0", + "metro5/pop2/leaf/leaf14|metro5/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -61469,9 +61469,9 @@ "excluded_nodes": [], "excluded_links": [ "metro5/pop1/leaf/leaf8|metro5/pop1/spine/spine1|0", - "metro1/pop1/leaf/leaf15|metro1/pop1/spine/spine1|0", + "metro5/pop2/leaf/leaf4|metro5/pop2/spine/spine3|0", "metro2/pop1/leaf/leaf8|metro2/pop1/spine/spine3|0", - "metro5/pop2/leaf/leaf4|metro5/pop2/spine/spine3|0" + "metro1/pop1/leaf/leaf15|metro1/pop1/spine/spine1|0" ] }, "failure_trace": null, @@ -61570,10 +61570,10 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro5/pop2/leaf/leaf3|metro5/pop2/spine/spine3|0", - "metro1/pop1/leaf/leaf4|metro1/pop1/spine/spine2|0", "metro2/pop2/leaf/leaf5|metro2/pop2/spine/spine4|0", - "metro5/pop1/leaf/leaf5|metro5/pop1/spine/spine3|0" + "metro5/pop1/leaf/leaf5|metro5/pop1/spine/spine3|0", + "metro1/pop1/leaf/leaf4|metro1/pop1/spine/spine2|0", + "metro5/pop2/leaf/leaf3|metro5/pop2/spine/spine3|0" ] }, "failure_trace": null, @@ -61673,8 +61673,8 @@ "excluded_nodes": [], "excluded_links": [ "metro5/pop2/leaf/leaf11|metro5/dc1/dc/dc|0", - "metro1/pop1/leaf/leaf16|metro1/dc1/dc/dc|0", - "metro2/pop2/leaf/leaf14|metro2/dc1/dc/dc|0" + "metro2/pop2/leaf/leaf14|metro2/dc1/dc/dc|0", + "metro1/pop1/leaf/leaf16|metro1/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -61785,9 +61785,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ + "metro2/pop1/leaf/leaf16|metro2/dc1/dc/dc|0", "metro2/pop2/leaf/leaf3|metro2/dc1/dc/dc|0", - "metro1/pop1/leaf/leaf13|metro1/dc1/dc/dc|0", - "metro2/pop1/leaf/leaf16|metro2/dc1/dc/dc|0" + "metro1/pop1/leaf/leaf13|metro1/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -61898,8 +61898,8 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro1/pop2/leaf/leaf2|metro1/dc1/dc/dc|0", "metro1/pop1/leaf/leaf2|metro1/dc1/dc/dc|0", + "metro1/pop2/leaf/leaf2|metro1/dc1/dc/dc|0", "metro2/pop1/leaf/leaf8|metro2/dc1/dc/dc|0" ] }, @@ -62010,8 +62010,8 @@ "excluded_nodes": [], "excluded_links": [ "metro5/pop2/leaf/leaf16|metro5/dc1/dc/dc|0", - "metro1/pop2/leaf/leaf11|metro1/dc1/dc/dc|0", - "metro1/pop2/leaf/leaf6|metro1/dc1/dc/dc|0" + "metro1/pop2/leaf/leaf6|metro1/dc1/dc/dc|0", + "metro1/pop2/leaf/leaf11|metro1/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -62232,9 +62232,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro2/pop1/leaf/leaf8|metro2/pop1/spine/spine4|0", "metro5/pop1/leaf/leaf16|metro5/pop1/spine/spine3|0", "metro2/pop1/leaf/leaf10|metro2/pop1/spine/spine4|0", + "metro2/pop1/leaf/leaf8|metro2/pop1/spine/spine4|0", "metro1/pop1/leaf/leaf9|metro1/pop1/spine/spine1|0" ] }, @@ -62437,9 +62437,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro2/pop2/leaf/leaf10|metro2/dc1/dc/dc|0", + "metro2/pop1/leaf/leaf9|metro2/dc1/dc/dc|0", "metro5/pop1/leaf/leaf15|metro5/dc1/dc/dc|0", - "metro2/pop1/leaf/leaf9|metro2/dc1/dc/dc|0" + "metro2/pop2/leaf/leaf10|metro2/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -62549,9 +62549,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro5/pop2/leaf/leaf14|metro5/dc1/dc/dc|0", "metro5/pop2/leaf/leaf15|metro5/dc1/dc/dc|0", - "metro5/pop2/leaf/leaf2|metro5/dc1/dc/dc|0" + "metro5/pop2/leaf/leaf2|metro5/dc1/dc/dc|0", + "metro5/pop2/leaf/leaf14|metro5/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -62658,7 +62658,7 @@ "include_used_edges": false, "base_demands": [ { - "id": "^metro1/dc1/.*|^metro2/dc1/.*|v1t_IMbBR0GjCQDbCgkQug", + "id": "^metro1/dc1/.*|^metro2/dc1/.*|MQ8g1Ny6Q4Sz1BOfMQdx2A", "source": "^metro1/dc1/.*", "target": "^metro2/dc1/.*", "volume": 15000.0, @@ -62672,7 +62672,7 @@ } }, { - "id": "^metro2/dc1/.*|^metro1/dc1/.*|pYKiQxnfTC-2Ur9NT5KEpQ", + "id": "^metro2/dc1/.*|^metro1/dc1/.*|e9jYu21oRZmLx146KGd0bw", "source": "^metro2/dc1/.*", "target": "^metro1/dc1/.*", "volume": 15000.0, @@ -62686,7 +62686,7 @@ } }, { - "id": "^metro2/dc1/.*|^metro5/dc1/.*|G7ngVxXETRiWeoFMzVBqqQ", + "id": "^metro2/dc1/.*|^metro5/dc1/.*|lbvO2ZBCQ_O0rd8LdgOIkQ", "source": "^metro2/dc1/.*", "target": "^metro5/dc1/.*", "volume": 15000.0, @@ -62700,7 +62700,7 @@ } }, { - "id": "^metro5/dc1/.*|^metro2/dc1/.*|BkACC9YdSqS3Vh-Rgj9Xyg", + "id": "^metro5/dc1/.*|^metro2/dc1/.*|OZ8h-sFrSUSQBWM5tyk9Xg", "source": "^metro5/dc1/.*", "target": "^metro2/dc1/.*", "volume": 15000.0, @@ -62714,7 +62714,7 @@ } }, { - "id": "^metro1/dc1/.*|^metro5/dc1/.*|umD3I56uT0WWrikWY8UvfA", + "id": "^metro1/dc1/.*|^metro5/dc1/.*|LnNXT_4lRgCvgQwbsGYlOQ", "source": "^metro1/dc1/.*", "target": "^metro5/dc1/.*", "volume": 15000.0, @@ -62728,7 +62728,7 @@ } }, { - "id": "^metro5/dc1/.*|^metro1/dc1/.*|SVxDb3AYQf6Lgm3zn4Dk6A", + "id": "^metro5/dc1/.*|^metro1/dc1/.*|nmJXDJiVRRq83i1hj0G_pQ", "source": "^metro5/dc1/.*", "target": "^metro1/dc1/.*", "volume": 15000.0, @@ -62749,7 +62749,7 @@ }, "cost_power": { "metadata": { - "duration_sec": 0.002717256546020508 + "duration_sec": 0.0030417442321777344 }, "data": { "context": { @@ -63026,7 +63026,7 @@ "demands": { "baseline_traffic_matrix": [ { - "id": "^metro1/dc1/.*|^metro2/dc1/.*|v1t_IMbBR0GjCQDbCgkQug", + "id": "^metro1/dc1/.*|^metro2/dc1/.*|MQ8g1Ny6Q4Sz1BOfMQdx2A", "source": "^metro1/dc1/.*", "target": "^metro2/dc1/.*", "volume": 15000.0, @@ -63040,7 +63040,7 @@ } }, { - "id": "^metro2/dc1/.*|^metro1/dc1/.*|pYKiQxnfTC-2Ur9NT5KEpQ", + "id": "^metro2/dc1/.*|^metro1/dc1/.*|e9jYu21oRZmLx146KGd0bw", "source": "^metro2/dc1/.*", "target": "^metro1/dc1/.*", "volume": 15000.0, @@ -63054,7 +63054,7 @@ } }, { - "id": "^metro2/dc1/.*|^metro5/dc1/.*|G7ngVxXETRiWeoFMzVBqqQ", + "id": "^metro2/dc1/.*|^metro5/dc1/.*|lbvO2ZBCQ_O0rd8LdgOIkQ", "source": "^metro2/dc1/.*", "target": "^metro5/dc1/.*", "volume": 15000.0, @@ -63068,7 +63068,7 @@ } }, { - "id": "^metro5/dc1/.*|^metro2/dc1/.*|BkACC9YdSqS3Vh-Rgj9Xyg", + "id": "^metro5/dc1/.*|^metro2/dc1/.*|OZ8h-sFrSUSQBWM5tyk9Xg", "source": "^metro5/dc1/.*", "target": "^metro2/dc1/.*", "volume": 15000.0, @@ -63082,7 +63082,7 @@ } }, { - "id": "^metro1/dc1/.*|^metro5/dc1/.*|umD3I56uT0WWrikWY8UvfA", + "id": "^metro1/dc1/.*|^metro5/dc1/.*|LnNXT_4lRgCvgQwbsGYlOQ", "source": "^metro1/dc1/.*", "target": "^metro5/dc1/.*", "volume": 15000.0, @@ -63096,7 +63096,7 @@ } }, { - "id": "^metro5/dc1/.*|^metro1/dc1/.*|SVxDb3AYQf6Lgm3zn4Dk6A", + "id": "^metro5/dc1/.*|^metro1/dc1/.*|nmJXDJiVRRq83i1hj0G_pQ", "source": "^metro5/dc1/.*", "target": "^metro1/dc1/.*", "volume": 15000.0, @@ -63112,4 +63112,4 @@ ] } } -} \ No newline at end of file +} diff --git a/tests/data/scenarios/small_clos/small_clos__seed12/small_clos__seed12_scenario.yml b/tests/data/scenarios/small_clos/small_clos__seed12/small_clos__seed12_scenario.yml index fcacde6..e87f7a2 100644 --- a/tests/data/scenarios/small_clos/small_clos__seed12/small_clos__seed12_scenario.yml +++ b/tests/data/scenarios/small_clos/small_clos__seed12/small_clos__seed12_scenario.yml @@ -211,6 +211,7 @@ network: - attr: role op: == value: leaf + logic: or target: path: metro1/pop2 match: *id001 @@ -289,9 +290,11 @@ network: source_metro: new-york-jersey-city-newark target_metro: washington-arlington target_capacity: 12800.0 - site_edge: metro1/pop1|metro2/pop1|inter_metro:1-2:1-1 - adjacency_id: inter_metro:1-2 + site_edge: metro1/pop1|metro2/pop1|inter_metro:1-2:path0:1-1 + adjacency_id: inter_metro:1-2:path0 distance_km: 412 + euclidean_km: 329.80891925266354 + detour_ratio: 1.2484239409074376 hardware: source: component: 800G-ZR+ @@ -299,7 +302,7 @@ network: target: component: 800G-ZR+ count: 1.0 - risk_groups: &id005 + risk_groups: - corridor_risk_columbus_new-york-jersey-city-newark - corridor_risk_new-york-jersey-city-newark_washington-arlington - source: @@ -324,9 +327,11 @@ network: source_metro: new-york-jersey-city-newark target_metro: columbus target_capacity: 12800.0 - site_edge: metro1/pop1|metro5/pop1|inter_metro:1-5:1-1 - adjacency_id: inter_metro:1-5 + site_edge: metro1/pop1|metro5/pop1|inter_metro:1-5:path0:1-1 + adjacency_id: inter_metro:1-5:path0 distance_km: 977 + euclidean_km: 747.1357017294783 + detour_ratio: 1.3070646931065415 hardware: source: component: 800G-ZR+ @@ -334,7 +339,7 @@ network: target: component: 800G-ZR+ count: 1.0 - risk_groups: &id006 + risk_groups: - corridor_risk_chicago_washington-arlington - corridor_risk_columbus_new-york-jersey-city-newark - corridor_risk_columbus_washington-arlington @@ -363,7 +368,6 @@ network: target: component: 800G-ZR+ count: 3.0 - # Inter-metro corridors - source: path: metro1/pop2 match: *id003 @@ -378,9 +382,11 @@ network: source_metro: new-york-jersey-city-newark target_metro: washington-arlington target_capacity: 12800.0 - site_edge: metro1/pop2|metro2/pop2|inter_metro:1-2:2-2 - adjacency_id: inter_metro:1-2 + site_edge: metro1/pop2|metro2/pop2|inter_metro:1-2:path0:2-2 + adjacency_id: inter_metro:1-2:path0 distance_km: 412 + euclidean_km: 329.80891925266354 + detour_ratio: 1.2484239409074376 hardware: source: component: 800G-ZR+ @@ -388,7 +394,9 @@ network: target: component: 800G-ZR+ count: 1.0 - risk_groups: *id005 + risk_groups: + - corridor_risk_columbus_new-york-jersey-city-newark + - corridor_risk_new-york-jersey-city-newark_washington-arlington - source: path: metro1/pop2 match: *id004 @@ -403,9 +411,11 @@ network: source_metro: new-york-jersey-city-newark target_metro: columbus target_capacity: 12800.0 - site_edge: metro1/pop2|metro5/pop2|inter_metro:1-5:2-2 - adjacency_id: inter_metro:1-5 + site_edge: metro1/pop2|metro5/pop2|inter_metro:1-5:path0:2-2 + adjacency_id: inter_metro:1-5:path0 distance_km: 977 + euclidean_km: 747.1357017294783 + detour_ratio: 1.3070646931065415 hardware: source: component: 800G-ZR+ @@ -413,10 +423,14 @@ network: target: component: 800G-ZR+ count: 1.0 - risk_groups: *id006 + risk_groups: + - corridor_risk_chicago_washington-arlington + - corridor_risk_columbus_new-york-jersey-city-newark + - corridor_risk_columbus_washington-arlington + - corridor_risk_new-york-jersey-city-newark_washington-arlington - source: path: metro2/pop1 - match: &id007 + match: &id005 conditions: - attr: role op: == @@ -424,9 +438,10 @@ network: - attr: role op: == value: leaf + logic: or target: path: metro2/pop2 - match: *id007 + match: *id005 pattern: one_to_one capacity: 1600.0 cost: 103 @@ -447,7 +462,7 @@ network: count: 2.0 - source: path: metro2/pop1 - match: &id008 + match: &id006 conditions: - attr: role op: == @@ -461,7 +476,7 @@ network: logic: or target: path: metro2/dc1 - match: *id008 + match: *id006 pattern: one_to_one capacity: 2400.0 cost: 1 @@ -482,7 +497,7 @@ network: count: 3.0 - source: path: metro2/pop1 - match: &id009 + match: &id007 conditions: - attr: role op: == @@ -493,7 +508,7 @@ network: logic: or target: path: metro3/pop1 - match: *id009 + match: *id007 pattern: one_to_one capacity: 200.0 cost: 1261 @@ -502,9 +517,11 @@ network: source_metro: washington-arlington target_metro: chicago target_capacity: 3200.0 - site_edge: metro2/pop1|metro3/pop1|inter_metro:2-3:1-1 - adjacency_id: inter_metro:2-3 + site_edge: metro2/pop1|metro3/pop1|inter_metro:2-3:path0:1-1 + adjacency_id: inter_metro:2-3:path0 distance_km: 1261 + euclidean_km: 962.0849480451766 + detour_ratio: 1.3098725226374546 hardware: source: component: 800G-ZR+ @@ -512,13 +529,13 @@ network: target: component: 800G-ZR+ count: 1.0 - risk_groups: &id012 + risk_groups: - corridor_risk_chicago_washington-arlington - corridor_risk_columbus_new-york-jersey-city-newark - corridor_risk_columbus_washington-arlington - source: path: metro2/pop1 - match: &id010 + match: &id008 conditions: - attr: role op: == @@ -529,7 +546,7 @@ network: logic: or target: path: metro4/pop1 - match: *id010 + match: *id008 pattern: one_to_one capacity: 200.0 cost: 1216 @@ -538,9 +555,11 @@ network: source_metro: washington-arlington target_metro: atlanta target_capacity: 3200.0 - site_edge: metro2/pop1|metro4/pop1|inter_metro:2-4:1-1 - adjacency_id: inter_metro:2-4 + site_edge: metro2/pop1|metro4/pop1|inter_metro:2-4:path0:1-1 + adjacency_id: inter_metro:2-4:path0 distance_km: 1216 + euclidean_km: 861.267572704122 + detour_ratio: 1.4113975069243747 hardware: source: component: 800G-ZR+ @@ -548,11 +567,11 @@ network: target: component: 800G-ZR+ count: 1.0 - risk_groups: &id013 + risk_groups: - corridor_risk_atlanta_washington-arlington - source: path: metro2/pop1 - match: &id011 + match: &id009 conditions: - attr: role op: == @@ -563,7 +582,7 @@ network: logic: or target: path: metro5/pop1 - match: *id011 + match: *id009 pattern: one_to_one capacity: 800.0 cost: 733 @@ -572,9 +591,11 @@ network: source_metro: washington-arlington target_metro: columbus target_capacity: 12800.0 - site_edge: metro2/pop1|metro5/pop1|inter_metro:2-5:1-1 - adjacency_id: inter_metro:2-5 + site_edge: metro2/pop1|metro5/pop1|inter_metro:2-5:path0:1-1 + adjacency_id: inter_metro:2-5:path0 distance_km: 733 + euclidean_km: 507.67314955219973 + detour_ratio: 1.44331128980949 hardware: source: component: 800G-ZR+ @@ -582,16 +603,16 @@ network: target: component: 800G-ZR+ count: 1.0 - risk_groups: &id014 + risk_groups: - corridor_risk_chicago_washington-arlington - corridor_risk_columbus_new-york-jersey-city-newark - corridor_risk_columbus_washington-arlington - source: path: metro2/pop2 - match: *id008 + match: *id006 target: path: metro2/dc1 - match: *id008 + match: *id006 pattern: one_to_one capacity: 2400.0 cost: 103 @@ -612,10 +633,10 @@ network: count: 3.0 - source: path: metro2/pop2 - match: *id009 + match: *id007 target: path: metro3/pop2 - match: *id009 + match: *id007 pattern: one_to_one capacity: 200.0 cost: 1261 @@ -624,9 +645,11 @@ network: source_metro: washington-arlington target_metro: chicago target_capacity: 3200.0 - site_edge: metro2/pop2|metro3/pop2|inter_metro:2-3:2-2 - adjacency_id: inter_metro:2-3 + site_edge: metro2/pop2|metro3/pop2|inter_metro:2-3:path0:2-2 + adjacency_id: inter_metro:2-3:path0 distance_km: 1261 + euclidean_km: 962.0849480451766 + detour_ratio: 1.3098725226374546 hardware: source: component: 800G-ZR+ @@ -634,13 +657,16 @@ network: target: component: 800G-ZR+ count: 1.0 - risk_groups: *id012 + risk_groups: + - corridor_risk_chicago_washington-arlington + - corridor_risk_columbus_new-york-jersey-city-newark + - corridor_risk_columbus_washington-arlington - source: path: metro2/pop2 - match: *id010 + match: *id008 target: path: metro4/pop2 - match: *id010 + match: *id008 pattern: one_to_one capacity: 200.0 cost: 1216 @@ -649,9 +675,11 @@ network: source_metro: washington-arlington target_metro: atlanta target_capacity: 3200.0 - site_edge: metro2/pop2|metro4/pop2|inter_metro:2-4:2-2 - adjacency_id: inter_metro:2-4 + site_edge: metro2/pop2|metro4/pop2|inter_metro:2-4:path0:2-2 + adjacency_id: inter_metro:2-4:path0 distance_km: 1216 + euclidean_km: 861.267572704122 + detour_ratio: 1.4113975069243747 hardware: source: component: 800G-ZR+ @@ -659,13 +687,14 @@ network: target: component: 800G-ZR+ count: 1.0 - risk_groups: *id013 + risk_groups: + - corridor_risk_atlanta_washington-arlington - source: path: metro2/pop2 - match: *id011 + match: *id009 target: path: metro5/pop2 - match: *id011 + match: *id009 pattern: one_to_one capacity: 800.0 cost: 733 @@ -674,9 +703,11 @@ network: source_metro: washington-arlington target_metro: columbus target_capacity: 12800.0 - site_edge: metro2/pop2|metro5/pop2|inter_metro:2-5:2-2 - adjacency_id: inter_metro:2-5 + site_edge: metro2/pop2|metro5/pop2|inter_metro:2-5:path0:2-2 + adjacency_id: inter_metro:2-5:path0 distance_km: 733 + euclidean_km: 507.67314955219973 + detour_ratio: 1.44331128980949 hardware: source: component: 800G-ZR+ @@ -684,10 +715,13 @@ network: target: component: 800G-ZR+ count: 1.0 - risk_groups: *id014 + risk_groups: + - corridor_risk_chicago_washington-arlington + - corridor_risk_columbus_new-york-jersey-city-newark + - corridor_risk_columbus_washington-arlington - source: path: metro3/pop1 - match: &id015 + match: &id010 conditions: - attr: role op: == @@ -695,9 +729,10 @@ network: - attr: role op: == value: leaf + logic: or target: path: metro3/pop2 - match: *id015 + match: *id010 pattern: one_to_one capacity: 12800.0 cost: 138 @@ -718,7 +753,7 @@ network: count: 16.0 - source: path: metro3/pop1 - match: &id016 + match: &id011 conditions: - attr: role op: == @@ -729,7 +764,7 @@ network: logic: or target: path: metro5/pop1 - match: *id016 + match: *id011 pattern: one_to_one capacity: 200.0 cost: 658 @@ -738,9 +773,11 @@ network: source_metro: chicago target_metro: columbus target_capacity: 3200.0 - site_edge: metro3/pop1|metro5/pop1|inter_metro:3-5:1-1 - adjacency_id: inter_metro:3-5 + site_edge: metro3/pop1|metro5/pop1|inter_metro:3-5:path0:1-1 + adjacency_id: inter_metro:3-5:path0 distance_km: 658 + euclidean_km: 463.6395625132306 + detour_ratio: 1.418606990859309 hardware: source: component: 800G-ZR+ @@ -748,12 +785,12 @@ network: target: component: 800G-ZR+ count: 1.0 - risk_groups: &id018 + risk_groups: - corridor_risk_atlanta_chicago - corridor_risk_chicago_columbus - source: path: metro3/pop1 - match: &id017 + match: &id012 conditions: - attr: role op: == @@ -764,7 +801,7 @@ network: logic: or target: path: metro4/pop1 - match: *id017 + match: *id012 pattern: one_to_one capacity: 3200.0 cost: 1302 @@ -773,9 +810,11 @@ network: source_metro: chicago target_metro: atlanta target_capacity: 3200.0 - site_edge: metro3/pop1|metro4/pop1|inter_metro:3-4:1-1 - adjacency_id: inter_metro:3-4 + site_edge: metro3/pop1|metro4/pop1|inter_metro:3-4:path0:1-1 + adjacency_id: inter_metro:3-4:path0 distance_km: 1302 + euclidean_km: 962.0999146161588 + detour_ratio: 1.3528437249287772 hardware: source: component: 800G-ZR+ @@ -783,16 +822,16 @@ network: target: component: 800G-ZR+ count: 4.0 - risk_groups: &id019 + risk_groups: - corridor_risk_atlanta_chicago - corridor_risk_atlanta_columbus - corridor_risk_chicago_columbus - source: path: metro3/pop2 - match: *id016 + match: *id011 target: path: metro5/pop2 - match: *id016 + match: *id011 pattern: one_to_one capacity: 200.0 cost: 658 @@ -801,9 +840,11 @@ network: source_metro: chicago target_metro: columbus target_capacity: 3200.0 - site_edge: metro3/pop2|metro5/pop2|inter_metro:3-5:2-2 - adjacency_id: inter_metro:3-5 + site_edge: metro3/pop2|metro5/pop2|inter_metro:3-5:path0:2-2 + adjacency_id: inter_metro:3-5:path0 distance_km: 658 + euclidean_km: 463.6395625132306 + detour_ratio: 1.418606990859309 hardware: source: component: 800G-ZR+ @@ -811,13 +852,15 @@ network: target: component: 800G-ZR+ count: 1.0 - risk_groups: *id018 + risk_groups: + - corridor_risk_atlanta_chicago + - corridor_risk_chicago_columbus - source: path: metro3/pop2 - match: *id017 + match: *id012 target: path: metro4/pop2 - match: *id017 + match: *id012 pattern: one_to_one capacity: 3200.0 cost: 1302 @@ -826,9 +869,11 @@ network: source_metro: chicago target_metro: atlanta target_capacity: 3200.0 - site_edge: metro3/pop2|metro4/pop2|inter_metro:3-4:2-2 - adjacency_id: inter_metro:3-4 + site_edge: metro3/pop2|metro4/pop2|inter_metro:3-4:path0:2-2 + adjacency_id: inter_metro:3-4:path0 distance_km: 1302 + euclidean_km: 962.0999146161588 + detour_ratio: 1.3528437249287772 hardware: source: component: 800G-ZR+ @@ -836,10 +881,13 @@ network: target: component: 800G-ZR+ count: 4.0 - risk_groups: *id019 + risk_groups: + - corridor_risk_atlanta_chicago + - corridor_risk_atlanta_columbus + - corridor_risk_chicago_columbus - source: path: metro4/pop1 - match: &id020 + match: &id013 conditions: - attr: role op: == @@ -847,9 +895,10 @@ network: - attr: role op: == value: leaf + logic: or target: path: metro4/pop2 - match: *id020 + match: *id013 pattern: one_to_one capacity: 12800.0 cost: 142 @@ -870,7 +919,7 @@ network: count: 16.0 - source: path: metro4/pop1 - match: &id021 + match: &id014 conditions: - attr: role op: == @@ -881,7 +930,7 @@ network: logic: or target: path: metro5/pop1 - match: *id021 + match: *id014 pattern: one_to_one capacity: 200.0 cost: 1028 @@ -890,9 +939,11 @@ network: source_metro: atlanta target_metro: columbus target_capacity: 3200.0 - site_edge: metro4/pop1|metro5/pop1|inter_metro:4-5:1-1 - adjacency_id: inter_metro:4-5 + site_edge: metro4/pop1|metro5/pop1|inter_metro:4-5:path0:1-1 + adjacency_id: inter_metro:4-5:path0 distance_km: 1028 + euclidean_km: 713.256465952325 + detour_ratio: 1.439960594262943 hardware: source: component: 800G-ZR+ @@ -900,15 +951,15 @@ network: target: component: 800G-ZR+ count: 1.0 - risk_groups: &id022 + risk_groups: - corridor_risk_atlanta_chicago - corridor_risk_atlanta_columbus - source: path: metro4/pop2 - match: *id021 + match: *id014 target: path: metro5/pop2 - match: *id021 + match: *id014 pattern: one_to_one capacity: 200.0 cost: 1028 @@ -917,9 +968,11 @@ network: source_metro: atlanta target_metro: columbus target_capacity: 3200.0 - site_edge: metro4/pop2|metro5/pop2|inter_metro:4-5:2-2 - adjacency_id: inter_metro:4-5 + site_edge: metro4/pop2|metro5/pop2|inter_metro:4-5:path0:2-2 + adjacency_id: inter_metro:4-5:path0 distance_km: 1028 + euclidean_km: 713.256465952325 + detour_ratio: 1.439960594262943 hardware: source: component: 800G-ZR+ @@ -927,10 +980,12 @@ network: target: component: 800G-ZR+ count: 1.0 - risk_groups: *id022 + risk_groups: + - corridor_risk_atlanta_chicago + - corridor_risk_atlanta_columbus - source: path: metro5/pop1 - match: &id023 + match: &id015 conditions: - attr: role op: == @@ -938,9 +993,10 @@ network: - attr: role op: == value: leaf + logic: or target: path: metro5/pop2 - match: *id023 + match: *id015 pattern: one_to_one capacity: 1600.0 cost: 65 @@ -961,7 +1017,7 @@ network: count: 2.0 - source: path: metro5/pop1 - match: &id024 + match: &id016 conditions: - attr: role op: == @@ -975,7 +1031,7 @@ network: logic: or target: path: metro5/dc1 - match: *id024 + match: *id016 pattern: one_to_one capacity: 2400.0 cost: 1 @@ -996,10 +1052,10 @@ network: count: 3.0 - source: path: metro5/pop2 - match: *id024 + match: *id016 target: path: metro5/dc1 - match: *id024 + match: *id016 pattern: one_to_one capacity: 2400.0 cost: 65 diff --git a/tests/data/scenarios/small_dragonfly/small_dragonfly/small_dragonfly_integrated_graph.json b/tests/data/scenarios/small_dragonfly/small_dragonfly/small_dragonfly_integrated_graph.json index 238fe80..10c0e23 100644 --- a/tests/data/scenarios/small_dragonfly/small_dragonfly/small_dragonfly_integrated_graph.json 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3210868..3e46f08 100644 --- a/tests/data/scenarios/small_dragonfly/small_dragonfly__seed11/small_dragonfly__seed11_scenario.results.json +++ b/tests/data/scenarios/small_dragonfly/small_dragonfly__seed11/small_dragonfly__seed11_scenario.results.json @@ -36,7 +36,7 @@ "steps": { "network_statistics": { "metadata": { - "duration_sec": 0.0004870891571044922 + "duration_sec": 0.0004570484161376953 }, "data": { "node_count": 133, @@ -58,7 +58,7 @@ }, "msd_baseline": { "metadata": { - "duration_sec": 0.0049588680267333984 + "duration_sec": 0.0051500797271728516 }, "data": { "alpha_star": 1.40625, @@ -74,7 +74,7 @@ }, "base_demands": [ { - "id": "^metro1/dc1/.*|^metro5/dc1/.*|CJmcSwIhT32WASdOaMj0aA", + "id": "^metro1/dc1/.*|^metro5/dc1/.*|nGBVS0xWSu-UEzP8mmdrCQ", "source": "^metro1/dc1/.*", "target": "^metro5/dc1/.*", "volume": 15000.0, @@ -88,7 +88,7 @@ } }, { - "id": "^metro5/dc1/.*|^metro1/dc1/.*|Zy-Kob8HQ-Gux3J47QBc0w", + "id": "^metro5/dc1/.*|^metro1/dc1/.*|djxJEp6rTdWF15bEPFRsBQ", "source": "^metro5/dc1/.*", "target": "^metro1/dc1/.*", "volume": 15000.0, @@ -102,7 +102,7 @@ } }, { - "id": "^metro2/dc1/.*|^metro5/dc1/.*|ZNA6idheQLWDy1zHJx-vyw", + "id": "^metro2/dc1/.*|^metro5/dc1/.*|6gWxZjcjTEG0W8GX7HqVEQ", "source": "^metro2/dc1/.*", "target": "^metro5/dc1/.*", "volume": 15000.0, @@ -116,7 +116,7 @@ } }, { - "id": "^metro5/dc1/.*|^metro2/dc1/.*|z-C0R5hLS7qWQ4jko2oYJQ", + "id": "^metro5/dc1/.*|^metro2/dc1/.*|T_L2Eta6SUyKk65B-4bdMw", "source": "^metro5/dc1/.*", "target": "^metro2/dc1/.*", "volume": 15000.0, @@ -130,7 +130,7 @@ } }, { - "id": "^metro1/dc1/.*|^metro2/dc1/.*|DabONeduSc69oYW_N27bMQ", + "id": "^metro1/dc1/.*|^metro2/dc1/.*|zMuNAEMfQe2H8mNe-N45Sw", "source": "^metro1/dc1/.*", "target": "^metro2/dc1/.*", "volume": 15000.0, @@ -144,7 +144,7 @@ } }, { - "id": "^metro2/dc1/.*|^metro1/dc1/.*|yFXrai-hRW-ls_d4-Nadvg", + "id": "^metro2/dc1/.*|^metro1/dc1/.*|IbUPXPw4QkSQ7LAYOoD8cQ", "source": "^metro2/dc1/.*", "target": "^metro1/dc1/.*", "volume": 15000.0, @@ -203,7 +203,7 @@ "parallelism": 7, "analysis_function": "demand_placement_analysis", "policy_name": "mc_baseline", - "execution_time": 0.4188549518585205, + "execution_time": 0.6217668056488037, "unique_patterns": 583, "occurrence_counts": [ 39, @@ -790,7 +790,7 @@ 1, 1 ], - "duration_sec": 0.4521291255950928 + "duration_sec": 0.6614811420440674 }, "data": { "baseline": { @@ -908,48 +908,48 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro2/pop1/G5/G5_r1|metro4/pop1/core/core|0", - "metro2/pop1/G2/G2_r2|metro4/pop1/core/core|0", - "metro2/pop2/G3/G3_r1|metro4/pop2/core/core|0", - "metro2/pop2/G5/G5_r2|metro4/pop2/core/core|0", - "metro2/pop1/G1/G1_r2|metro4/pop1/core/core|0", - "metro2/pop2/G2/G2_r1|metro4/pop2/core/core|0", - "metro2/pop2/G7/G7_r3|metro4/pop2/core/core|0", - "metro2/pop2/G4/G4_r3|metro4/pop2/core/core|0", - "metro2/pop1/G5/G5_r2|metro4/pop1/core/core|0", - "metro2/pop1/G2/G2_r1|metro4/pop1/core/core|0", - 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"metro2/pop2/G7/G7_r2|metro4/pop2/core/core|0", + "metro2/pop2/G6/G6_r3|metro4/pop2/core/core|0", + "metro2/pop1/G7/G7_r3|metro4/pop1/core/core|0", + "metro2/pop2/G1/G1_r1|metro4/pop2/core/core|0", "metro2/pop2/G5/G5_r1|metro4/pop2/core/core|0", "metro2/pop1/G1/G1_r3|metro4/pop1/core/core|0", - "metro2/pop1/G4/G4_r1|metro4/pop1/core/core|0", - "metro2/pop1/G5/G5_r3|metro4/pop1/core/core|0", - "metro2/pop1/G3/G3_r1|metro4/pop1/core/core|0", - "metro2/pop1/G7/G7_r3|metro4/pop1/core/core|0", - "metro2/pop2/G7/G7_r1|metro4/pop2/core/core|0", - "metro2/pop1/G3/G3_r3|metro4/pop1/core/core|0", - "metro2/pop2/G6/G6_r3|metro4/pop2/core/core|0", - "metro2/pop2/G7/G7_r2|metro4/pop2/core/core|0", - "metro2/pop2/G3/G3_r3|metro4/pop2/core/core|0", - "metro2/pop2/G1/G1_r2|metro4/pop2/core/core|0", - "metro2/pop2/G2/G2_r2|metro4/pop2/core/core|0", + "metro2/pop1/G3/G3_r2|metro4/pop1/core/core|0", "metro2/pop2/G4/G4_r2|metro4/pop2/core/core|0", + "metro2/pop2/G4/G4_r3|metro4/pop2/core/core|0", "metro2/pop1/G6/G6_r2|metro4/pop1/core/core|0", + "metro2/pop2/G6/G6_r2|metro4/pop2/core/core|0", + "metro2/pop2/G2/G2_r2|metro4/pop2/core/core|0", + "metro2/pop1/G3/G3_r3|metro4/pop1/core/core|0", + "metro2/pop1/G7/G7_r2|metro4/pop1/core/core|0", + "metro2/pop2/G3/G3_r1|metro4/pop2/core/core|0", + "metro2/pop1/G5/G5_r2|metro4/pop1/core/core|0", "metro2/pop2/G2/G2_r3|metro4/pop2/core/core|0", + "metro2/pop1/G5/G5_r1|metro4/pop1/core/core|0", + "metro2/pop2/G7/G7_r1|metro4/pop2/core/core|0", + "metro2/pop1/G2/G2_r1|metro4/pop1/core/core|0", + "metro2/pop2/G5/G5_r3|metro4/pop2/core/core|0", + "metro2/pop1/G6/G6_r3|metro4/pop1/core/core|0", + "metro2/pop2/G5/G5_r2|metro4/pop2/core/core|0", + "metro2/pop1/G4/G4_r1|metro4/pop1/core/core|0", + "metro2/pop1/G5/G5_r3|metro4/pop1/core/core|0", + "metro2/pop1/G2/G2_r3|metro4/pop1/core/core|0", + "metro2/pop1/G4/G4_r2|metro4/pop1/core/core|0", + "metro2/pop1/G1/G1_r2|metro4/pop1/core/core|0", "metro2/pop1/G4/G4_r3|metro4/pop1/core/core|0", - "metro2/pop2/G1/G1_r1|metro4/pop2/core/core|0" + "metro2/pop2/G1/G1_r2|metro4/pop2/core/core|0", + "metro2/pop2/G2/G2_r1|metro4/pop2/core/core|0", + "metro2/pop2/G1/G1_r3|metro4/pop2/core/core|0", + "metro2/pop2/G6/G6_r1|metro4/pop2/core/core|0" ] }, "failure_trace": null, @@ -1058,92 +1058,92 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro3/pop1/core/core|metro5/pop1/G7/G7_r1|0", - "metro3/pop1/core/core|metro5/pop1/G1/G1_r2|0", - "metro3/pop1/core/core|metro5/pop1/G5/G5_r3|0", - "metro3/pop2/core/core|metro4/pop2/core/core|0", - "metro4/pop1/core/core|metro5/pop1/G3/G3_r1|0", - "metro4/pop2/core/core|metro5/pop2/G2/G2_r2|0", + "metro3/pop2/core/core|metro5/pop2/G5/G5_r3|0", + "metro3/pop2/core/core|metro5/pop2/G5/G5_r1|0", + "metro3/pop2/core/core|metro5/pop2/G6/G6_r2|0", + "metro4/pop2/core/core|metro5/pop2/G7/G7_r2|0", + "metro4/pop2/core/core|metro5/pop2/G7/G7_r1|0", + "metro4/pop1/core/core|metro5/pop1/G3/G3_r2|0", + "metro3/pop2/core/core|metro5/pop2/G2/G2_r1|0", + "metro4/pop2/core/core|metro5/pop2/G4/G4_r2|0", + "metro3/pop2/core/core|metro5/pop2/G7/G7_r2|0", "metro3/pop1/core/core|metro5/pop1/G5/G5_r1|0", "metro3/pop2/core/core|metro5/pop2/G3/G3_r1|0", - "metro3/pop2/core/core|metro5/pop2/G5/G5_r2|0", - "metro3/pop2/core/core|metro5/pop2/G6/G6_r1|0", - "metro3/pop1/core/core|metro5/pop1/G4/G4_r1|0", - "metro3/pop1/core/core|metro5/pop1/G6/G6_r3|0", - "metro4/pop1/core/core|metro5/pop1/G7/G7_r1|0", - "metro3/pop1/core/core|metro5/pop1/G1/G1_r3|0", - "metro4/pop1/core/core|metro5/pop1/G2/G2_r2|0", - "metro3/pop1/core/core|metro5/pop1/G3/G3_r1|0", - "metro3/pop1/core/core|metro5/pop1/G6/G6_r1|0", + "metro4/pop2/core/core|metro5/pop2/G2/G2_r1|0", + "metro3/pop1/core/core|metro5/pop1/G3/G3_r3|0", + "metro4/pop1/core/core|metro5/pop1/G7/G7_r2|0", + "metro4/pop1/core/core|metro5/pop1/G3/G3_r3|0", + "metro3/pop1/core/core|metro5/pop1/G2/G2_r1|0", + "metro3/pop1/core/core|metro4/pop1/core/core|0", + "metro3/pop1/core/core|metro5/pop1/G7/G7_r3|0", + "metro4/pop2/core/core|metro5/pop2/G6/G6_r3|0", + "metro3/pop2/core/core|metro5/pop2/G6/G6_r3|0", "metro4/pop2/core/core|metro5/pop2/G3/G3_r3|0", - "metro3/pop2/core/core|metro5/pop2/G1/G1_r1|0", - "metro4/pop2/core/core|metro5/pop2/G4/G4_r3|0", - "metro4/pop1/core/core|metro5/pop1/G2/G2_r1|0", - "metro4/pop1/core/core|metro5/pop1/G6/G6_r3|0", - "metro3/pop2/core/core|metro5/pop2/G7/G7_r2|0", - "metro3/pop2/core/core|metro5/pop2/G7/G7_r1|0", - "metro4/pop1/core/core|metro5/pop1/G7/G7_r3|0", + "metro4/pop2/core/core|metro5/pop2/G7/G7_r3|0", + "metro3/pop1/core/core|metro5/pop1/G2/G2_r3|0", "metro4/pop2/core/core|metro5/pop2/G1/G1_r2|0", - "metro4/pop1/core/core|metro5/pop1/G1/G1_r2|0", - "metro4/pop2/core/core|metro5/pop2/G2/G2_r3|0", - "metro4/pop1/core/core|metro5/pop1/G3/G3_r3|0", - "metro4/pop2/core/core|metro5/pop2/G4/G4_r1|0", - "metro4/pop2/core/core|metro5/pop2/G4/G4_r2|0", - "metro4/pop1/core/core|metro5/pop1/G4/G4_r1|0", - "metro3/pop2/core/core|metro5/pop2/G2/G2_r3|0", - "metro4/pop2/core/core|metro5/pop2/G5/G5_r3|0", - "metro3/pop2/core/core|metro5/pop2/G2/G2_r2|0", - "metro3/pop1/core/core|metro5/pop1/G2/G2_r2|0", - "metro4/pop2/core/core|metro5/pop2/G6/G6_r1|0", - "metro4/pop1/core/core|metro5/pop1/G6/G6_r2|0", + "metro4/pop2/core/core|metro5/pop2/G5/G5_r2|0", + "metro4/pop2/core/core|metro5/pop2/G3/G3_r1|0", + "metro4/pop1/core/core|metro5/pop1/G5/G5_r2|0", "metro4/pop1/core/core|metro5/pop1/G1/G1_r3|0", - "metro4/pop2/core/core|metro5/pop2/G5/G5_r1|0", - "metro4/pop2/core/core|metro5/pop2/G6/G6_r3|0", - "metro3/pop1/core/core|metro5/pop1/G3/G3_r3|0", + "metro3/pop2/core/core|metro5/pop2/G7/G7_r1|0", + "metro3/pop2/core/core|metro5/pop2/G4/G4_r2|0", "metro4/pop2/core/core|metro5/pop2/G1/G1_r3|0", - "metro4/pop2/core/core|metro5/pop2/G1/G1_r1|0", - "metro4/pop1/core/core|metro5/pop1/G1/G1_r1|0", + "metro4/pop1/core/core|metro5/pop1/G2/G2_r2|0", "metro4/pop2/core/core|metro5/pop2/G6/G6_r2|0", - "metro3/pop2/core/core|metro5/pop2/G5/G5_r1|0", - "metro4/pop1/core/core|metro5/pop1/G3/G3_r2|0", - "metro3/pop1/core/core|metro5/pop1/G7/G7_r3|0", - "metro4/pop1/core/core|metro5/pop1/G2/G2_r3|0", - "metro4/pop2/core/core|metro5/pop2/G3/G3_r1|0", - "metro3/pop2/core/core|metro5/pop2/G1/G1_r3|0", + "metro3/pop1/core/core|metro5/pop1/G6/G6_r3|0", "metro3/pop2/core/core|metro5/pop2/G4/G4_r3|0", - "metro3/pop2/core/core|metro5/pop2/G3/G3_r3|0", - "metro4/pop2/core/core|metro5/pop2/G7/G7_r1|0", - "metro3/pop2/core/core|metro5/pop2/G4/G4_r2|0", - "metro3/pop1/core/core|metro5/pop1/G4/G4_r3|0", - "metro4/pop2/core/core|metro5/pop2/G7/G7_r3|0", - "metro3/pop1/core/core|metro4/pop1/core/core|0", - "metro3/pop1/core/core|metro5/pop1/G5/G5_r2|0", - "metro4/pop1/core/core|metro5/pop1/G6/G6_r1|0", - "metro3/pop2/core/core|metro5/pop2/G4/G4_r1|0", - "metro4/pop1/core/core|metro5/pop1/G7/G7_r2|0", - "metro3/pop2/core/core|metro5/pop2/G2/G2_r1|0", + "metro3/pop2/core/core|metro5/pop2/G1/G1_r3|0", "metro3/pop1/core/core|metro5/pop1/G7/G7_r2|0", - "metro3/pop2/core/core|metro5/pop2/G5/G5_r3|0", + "metro4/pop2/core/core|metro5/pop2/G4/G4_r3|0", + "metro3/pop1/core/core|metro5/pop1/G7/G7_r1|0", "metro3/pop2/core/core|metro5/pop2/G1/G1_r2|0", - "metro3/pop2/core/core|metro5/pop2/G6/G6_r2|0", - "metro4/pop1/core/core|metro5/pop1/G4/G4_r3|0", - "metro4/pop2/core/core|metro5/pop2/G2/G2_r1|0", - "metro3/pop1/core/core|metro5/pop1/G6/G6_r2|0", - "metro3/pop1/core/core|metro5/pop1/G2/G2_r3|0", + "metro4/pop1/core/core|metro5/pop1/G1/G1_r2|0", + "metro3/pop2/core/core|metro4/pop2/core/core|0", + "metro4/pop1/core/core|metro5/pop1/G2/G2_r3|0", + "metro3/pop1/core/core|metro5/pop1/G5/G5_r2|0", + "metro3/pop2/core/core|metro5/pop2/G2/G2_r3|0", + "metro3/pop2/core/core|metro5/pop2/G5/G5_r2|0", + "metro3/pop1/core/core|metro5/pop1/G2/G2_r2|0", + "metro3/pop1/core/core|metro5/pop1/G4/G4_r2|0", "metro4/pop1/core/core|metro5/pop1/G4/G4_r2|0", - "metro3/pop2/core/core|metro5/pop2/G6/G6_r3|0", - "metro4/pop2/core/core|metro5/pop2/G3/G3_r2|0", + "metro3/pop2/core/core|metro5/pop2/G1/G1_r1|0", + "metro4/pop2/core/core|metro5/pop2/G1/G1_r1|0", + "metro3/pop1/core/core|metro5/pop1/G1/G1_r3|0", + "metro3/pop1/core/core|metro5/pop1/G6/G6_r2|0", + "metro4/pop1/core/core|metro5/pop1/G4/G4_r3|0", + "metro4/pop1/core/core|metro5/pop1/G1/G1_r1|0", + "metro4/pop1/core/core|metro5/pop1/G6/G6_r3|0", "metro3/pop2/core/core|metro5/pop2/G3/G3_r2|0", - "metro4/pop1/core/core|metro5/pop1/G5/G5_r3|0", - "metro4/pop2/core/core|metro5/pop2/G7/G7_r2|0", - "metro3/pop1/core/core|metro5/pop1/G2/G2_r1|0", - "metro3/pop1/core/core|metro5/pop1/G4/G4_r2|0", + "metro3/pop1/core/core|metro5/pop1/G3/G3_r1|0", + "metro4/pop2/core/core|metro5/pop2/G4/G4_r1|0", + "metro4/pop1/core/core|metro5/pop1/G7/G7_r1|0", + "metro3/pop2/core/core|metro5/pop2/G4/G4_r1|0", + "metro3/pop2/core/core|metro5/pop2/G6/G6_r1|0", + "metro4/pop1/core/core|metro5/pop1/G7/G7_r3|0", "metro3/pop1/core/core|metro5/pop1/G1/G1_r1|0", - "metro3/pop1/core/core|metro5/pop1/G3/G3_r2|0", + "metro3/pop1/core/core|metro5/pop1/G1/G1_r2|0", + "metro3/pop2/core/core|metro5/pop2/G3/G3_r3|0", + "metro4/pop1/core/core|metro5/pop1/G3/G3_r1|0", "metro3/pop2/core/core|metro5/pop2/G7/G7_r3|0", + "metro3/pop1/core/core|metro5/pop1/G6/G6_r1|0", + "metro3/pop1/core/core|metro5/pop1/G4/G4_r1|0", + "metro4/pop1/core/core|metro5/pop1/G5/G5_r3|0", + "metro3/pop1/core/core|metro5/pop1/G5/G5_r3|0", + "metro4/pop2/core/core|metro5/pop2/G2/G2_r3|0", + "metro4/pop2/core/core|metro5/pop2/G2/G2_r2|0", + "metro4/pop1/core/core|metro5/pop1/G4/G4_r1|0", + "metro4/pop2/core/core|metro5/pop2/G6/G6_r1|0", + "metro4/pop2/core/core|metro5/pop2/G5/G5_r3|0", + "metro3/pop1/core/core|metro5/pop1/G4/G4_r3|0", + "metro4/pop1/core/core|metro5/pop1/G2/G2_r1|0", + "metro3/pop2/core/core|metro5/pop2/G2/G2_r2|0", + "metro4/pop1/core/core|metro5/pop1/G6/G6_r2|0", + "metro3/pop1/core/core|metro5/pop1/G3/G3_r2|0", + "metro4/pop2/core/core|metro5/pop2/G5/G5_r1|0", + "metro4/pop2/core/core|metro5/pop2/G3/G3_r2|0", "metro4/pop1/core/core|metro5/pop1/G5/G5_r1|0", - "metro4/pop2/core/core|metro5/pop2/G5/G5_r2|0", - "metro4/pop1/core/core|metro5/pop1/G5/G5_r2|0" + "metro4/pop1/core/core|metro5/pop1/G6/G6_r1|0" ] }, "failure_trace": null, @@ -1358,9 +1358,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ + "metro2/pop2/G2/G2_r3|metro2/dc1/dc/dc|0", "metro2/pop1/G4/G4_r1|metro2/dc1/dc/dc|0", - "metro2/pop2/G6/G6_r3|metro2/dc1/dc/dc|0", - "metro2/pop2/G2/G2_r3|metro2/dc1/dc/dc|0" + "metro2/pop2/G6/G6_r3|metro2/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -1592,132 +1592,132 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro2/pop2/G3/G3_r1|metro3/pop2/core/core|0", - "metro2/pop1/G3/G3_r3|metro3/pop1/core/core|0", - "metro1/pop2/G5/G5_r2|metro5/pop2/G5/G5_r2|0", - "metro2/pop2/G2/G2_r2|metro5/pop2/G2/G2_r2|0", - "metro2/pop1/G4/G4_r2|metro5/pop1/G4/G4_r2|0", - "metro1/pop2/G4/G4_r2|metro5/pop2/G4/G4_r2|0", - 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"metro2/pop1/G5/G5_r1|metro5/pop1/G5/G5_r1|0", - "metro1/pop1/G4/G4_r2|metro5/pop1/G4/G4_r2|0", - "metro1/pop2/G5/G5_r1|metro5/pop2/G5/G5_r1|0", - "metro1/pop1/G1/G1_r2|metro5/pop1/G1/G1_r2|0", - "metro2/pop1/G7/G7_r1|metro5/pop1/G7/G7_r1|0", - "metro2/pop1/G6/G6_r1|metro5/pop1/G6/G6_r1|0", - "metro2/pop2/G7/G7_r1|metro5/pop2/G7/G7_r1|0", - "metro2/pop2/G4/G4_r3|metro5/pop2/G4/G4_r3|0", - "metro2/pop2/G7/G7_r2|metro5/pop2/G7/G7_r2|0", - "metro1/pop1/G6/G6_r2|metro5/pop1/G6/G6_r2|0", - "metro2/pop2/G2/G2_r2|metro3/pop2/core/core|0", + "metro2/pop1/G4/G4_r1|metro5/pop1/G4/G4_r1|0", + "metro2/pop2/G7/G7_r1|metro3/pop2/core/core|0", + "metro2/pop2/G2/G2_r1|metro5/pop2/G2/G2_r1|0", + "metro2/pop1/G2/G2_r3|metro3/pop1/core/core|0", "metro1/pop2/G5/G5_r3|metro5/pop2/G5/G5_r3|0", - "metro2/pop2/G1/G1_r3|metro3/pop2/core/core|0", - "metro2/pop1/G3/G3_r1|metro3/pop1/core/core|0", - "metro1/pop2/G1/G1_r3|metro5/pop2/G1/G1_r3|0", - "metro1/pop1/G3/G3_r1|metro5/pop1/G3/G3_r1|0", + "metro2/pop2/G1/G1_r1|metro3/pop2/core/core|0", + "metro1/pop2/G1/G1_r1|metro5/pop2/G1/G1_r1|0", + "metro1/pop1/G5/G5_r2|metro5/pop1/G5/G5_r2|0", "metro2/pop1/G6/G6_r3|metro3/pop1/core/core|0", - "metro2/pop1/G6/G6_r2|metro3/pop1/core/core|0", - "metro2/pop2/G4/G4_r1|metro5/pop2/G4/G4_r1|0", - "metro2/pop1/G2/G2_r3|metro3/pop1/core/core|0", + "metro2/pop1/G7/G7_r1|metro3/pop1/core/core|0", + "metro2/pop1/G5/G5_r1|metro5/pop1/G5/G5_r1|0", + "metro2/pop1/G5/G5_r2|metro3/pop1/core/core|0", + "metro2/pop2/G3/G3_r2|metro3/pop2/core/core|0", + "metro2/pop1/G3/G3_r2|metro3/pop1/core/core|0", + "metro2/pop2/G2/G2_r2|metro3/pop2/core/core|0", + "metro2/pop2/G1/G1_r1|metro5/pop2/G1/G1_r1|0", + "metro2/pop1/G1/G1_r1|metro5/pop1/G1/G1_r1|0", + "metro1/pop2/G3/G3_r3|metro5/pop2/G3/G3_r3|0", + "metro1/pop2/G4/G4_r2|metro5/pop2/G4/G4_r2|0", + "metro2/pop1/G2/G2_r1|metro3/pop1/core/core|0", + "metro2/pop2/G2/G2_r3|metro3/pop2/core/core|0", "metro1/pop2/G7/G7_r2|metro5/pop2/G7/G7_r2|0", + "metro1/pop1/G6/G6_r2|metro5/pop1/G6/G6_r2|0", + "metro2/pop1/G7/G7_r1|metro5/pop1/G7/G7_r1|0", + "metro2/pop2/G1/G1_r3|metro5/pop2/G1/G1_r3|0", "metro2/pop2/G3/G3_r3|metro5/pop2/G3/G3_r3|0", - "metro1/pop2/G2/G2_r3|metro5/pop2/G2/G2_r3|0", - "metro2/pop1/G1/G1_r1|metro3/pop1/core/core|0", - "metro2/pop1/G3/G3_r1|metro5/pop1/G3/G3_r1|0", - "metro1/pop1/G2/G2_r2|metro5/pop1/G2/G2_r2|0", - "metro1/pop2/G3/G3_r1|metro5/pop2/G3/G3_r1|0", - "metro2/pop1/G4/G4_r3|metro5/pop1/G4/G4_r3|0", - "metro2/pop1/G5/G5_r3|metro5/pop1/G5/G5_r3|0", - "metro2/pop1/G4/G4_r1|metro3/pop1/core/core|0", - "metro1/pop2/G2/G2_r1|metro5/pop2/G2/G2_r1|0", - "metro2/pop2/G3/G3_r3|metro3/pop2/core/core|0", - "metro2/pop2/G6/G6_r3|metro5/pop2/G6/G6_r3|0", - "metro1/pop2/G6/G6_r3|metro5/pop2/G6/G6_r3|0", - "metro2/pop2/G1/G1_r1|metro5/pop2/G1/G1_r1|0", - "metro2/pop2/G4/G4_r1|metro3/pop2/core/core|0" + "metro1/pop2/G4/G4_r1|metro5/pop2/G4/G4_r1|0", + "metro1/pop1/G2/G2_r1|metro5/pop1/G2/G2_r1|0", + "metro2/pop2/G4/G4_r1|metro3/pop2/core/core|0", + "metro1/pop1/G7/G7_r1|metro5/pop1/G7/G7_r1|0", + "metro2/pop1/G3/G3_r3|metro5/pop1/G3/G3_r3|0", + "metro2/pop2/G5/G5_r2|metro5/pop2/G5/G5_r2|0", + "metro2/pop1/G4/G4_r3|metro3/pop1/core/core|0", + "metro1/pop2/G2/G2_r1|metro5/pop2/G2/G2_r1|0" ] }, "failure_trace": null, @@ -1810,50 +1810,50 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro3/pop1/core/core|metro5/pop1/G7/G7_r1|0", + "metro3/pop2/core/core|metro5/pop2/G1/G1_r2|0", + "metro3/pop2/core/core|metro5/pop2/G5/G5_r3|0", "metro3/pop2/core/core|metro5/pop2/G5/G5_r1|0", - "metro3/pop1/core/core|metro5/pop1/G1/G1_r2|0", - "metro3/pop1/core/core|metro5/pop1/G5/G5_r3|0", - "metro3/pop1/core/core|metro5/pop1/G7/G7_r3|0", "metro3/pop2/core/core|metro4/pop2/core/core|0", + "metro3/pop2/core/core|metro5/pop2/G6/G6_r2|0", + "metro3/pop1/core/core|metro5/pop1/G5/G5_r2|0", + "metro3/pop2/core/core|metro5/pop2/G2/G2_r3|0", + "metro3/pop2/core/core|metro5/pop2/G5/G5_r2|0", + "metro3/pop1/core/core|metro5/pop1/G2/G2_r2|0", + "metro3/pop1/core/core|metro5/pop1/G4/G4_r2|0", + "metro3/pop2/core/core|metro5/pop2/G2/G2_r1|0", + "metro3/pop2/core/core|metro5/pop2/G7/G7_r2|0", "metro3/pop1/core/core|metro5/pop1/G5/G5_r1|0", + "metro3/pop2/core/core|metro5/pop2/G1/G1_r1|0", "metro3/pop2/core/core|metro5/pop2/G3/G3_r1|0", - "metro3/pop2/core/core|metro5/pop2/G5/G5_r2|0", - "metro3/pop2/core/core|metro5/pop2/G6/G6_r1|0", - "metro3/pop1/core/core|metro5/pop1/G4/G4_r1|0", - "metro3/pop2/core/core|metro5/pop2/G1/G1_r3|0", - "metro3/pop2/core/core|metro5/pop2/G4/G4_r3|0", - "metro3/pop1/core/core|metro5/pop1/G6/G6_r3|0", - "metro3/pop2/core/core|metro5/pop2/G3/G3_r3|0", - "metro3/pop2/core/core|metro5/pop2/G4/G4_r2|0", - "metro3/pop1/core/core|metro5/pop1/G4/G4_r3|0", - "metro3/pop1/core/core|metro4/pop1/core/core|0", - "metro3/pop1/core/core|metro5/pop1/G5/G5_r2|0", - "metro3/pop2/core/core|metro5/pop2/G4/G4_r1|0", + "metro3/pop1/core/core|metro5/pop1/G3/G3_r3|0", "metro3/pop1/core/core|metro5/pop1/G1/G1_r3|0", - "metro3/pop2/core/core|metro5/pop2/G2/G2_r1|0", + "metro3/pop1/core/core|metro5/pop1/G2/G2_r1|0", + "metro3/pop1/core/core|metro5/pop1/G6/G6_r2|0", + "metro3/pop1/core/core|metro4/pop1/core/core|0", + "metro3/pop1/core/core|metro5/pop1/G7/G7_r3|0", + "metro3/pop2/core/core|metro5/pop2/G3/G3_r2|0", "metro3/pop1/core/core|metro5/pop1/G3/G3_r1|0", + "metro3/pop2/core/core|metro5/pop2/G4/G4_r1|0", + "metro3/pop2/core/core|metro5/pop2/G6/G6_r3|0", + "metro3/pop1/core/core|metro5/pop1/G1/G1_r1|0", + "metro3/pop1/core/core|metro5/pop1/G1/G1_r2|0", + "metro3/pop2/core/core|metro5/pop2/G6/G6_r1|0", + "metro3/pop2/core/core|metro5/pop2/G3/G3_r3|0", + "metro3/pop2/core/core|metro5/pop2/G7/G7_r3|0", "metro3/pop1/core/core|metro5/pop1/G6/G6_r1|0", - "metro3/pop1/core/core|metro5/pop1/G7/G7_r2|0", - "metro3/pop2/core/core|metro5/pop2/G1/G1_r1|0", - "metro3/pop2/core/core|metro5/pop2/G5/G5_r3|0", - "metro3/pop2/core/core|metro5/pop2/G1/G1_r2|0", - "metro3/pop2/core/core|metro5/pop2/G7/G7_r2|0", - "metro3/pop2/core/core|metro5/pop2/G6/G6_r2|0", - "metro3/pop2/core/core|metro5/pop2/G7/G7_r1|0", - "metro3/pop1/core/core|metro5/pop1/G6/G6_r2|0", + "metro3/pop1/core/core|metro5/pop1/G4/G4_r1|0", + "metro3/pop1/core/core|metro5/pop1/G5/G5_r3|0", "metro3/pop1/core/core|metro5/pop1/G2/G2_r3|0", - "metro3/pop2/core/core|metro5/pop2/G2/G2_r3|0", - "metro3/pop2/core/core|metro5/pop2/G6/G6_r3|0", + "metro3/pop1/core/core|metro5/pop1/G4/G4_r3|0", + "metro3/pop2/core/core|metro5/pop2/G4/G4_r2|0", + "metro3/pop2/core/core|metro5/pop2/G7/G7_r1|0", "metro3/pop2/core/core|metro5/pop2/G2/G2_r2|0", - "metro3/pop2/core/core|metro5/pop2/G3/G3_r2|0", - "metro3/pop1/core/core|metro5/pop1/G2/G2_r2|0", - "metro3/pop1/core/core|metro5/pop1/G2/G2_r1|0", - "metro3/pop1/core/core|metro5/pop1/G4/G4_r2|0", - "metro3/pop1/core/core|metro5/pop1/G1/G1_r1|0", + "metro3/pop1/core/core|metro5/pop1/G6/G6_r3|0", "metro3/pop1/core/core|metro5/pop1/G3/G3_r2|0", - "metro3/pop1/core/core|metro5/pop1/G3/G3_r3|0", - "metro3/pop2/core/core|metro5/pop2/G7/G7_r3|0" + "metro3/pop2/core/core|metro5/pop2/G4/G4_r3|0", + "metro3/pop2/core/core|metro5/pop2/G1/G1_r3|0", + "metro3/pop1/core/core|metro5/pop1/G7/G7_r2|0", + "metro3/pop1/core/core|metro5/pop1/G7/G7_r1|0" ] }, "failure_trace": null, @@ -1962,9 +1962,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro1/pop2/G6/G6_r1|metro1/dc1/dc/dc|0", + "metro2/pop1/G7/G7_r3|metro2/dc1/dc/dc|0", "metro1/pop2/G4/G4_r1|metro1/dc1/dc/dc|0", - "metro2/pop1/G7/G7_r3|metro2/dc1/dc/dc|0" + "metro1/pop2/G6/G6_r1|metro1/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -2894,8 +2894,8 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro2/pop1/G3/G3_r2|metro2/dc1/dc/dc|0", "metro1/pop2/G6/G6_r3|metro1/dc1/dc/dc|0", + "metro2/pop1/G3/G3_r2|metro2/dc1/dc/dc|0", "metro5/pop2/G5/G5_r3|metro5/dc1/dc/dc|0" ] }, @@ -3353,9 +3353,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro1/pop2/G5/G5_r3|metro1/dc1/dc/dc|0", "metro2/pop1/G5/G5_r3|metro2/dc1/dc/dc|0", - "metro1/pop1/G2/G2_r2|metro1/dc1/dc/dc|0" + "metro1/pop1/G2/G2_r2|metro1/dc1/dc/dc|0", + "metro1/pop2/G5/G5_r3|metro1/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -3476,9 +3476,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro5/pop2/G3/G3_r2|metro5/dc1/dc/dc|0", + "metro5/pop2/G7/G7_r1|metro5/dc1/dc/dc|0", "metro2/pop1/G1/G1_r2|metro2/dc1/dc/dc|0", - "metro5/pop2/G7/G7_r1|metro5/dc1/dc/dc|0" + "metro5/pop2/G3/G3_r2|metro5/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -3706,9 +3706,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ + "metro2/pop2/G7/G7_r2|metro2/dc1/dc/dc|0", "metro1/pop2/G6/G6_r2|metro1/dc1/dc/dc|0", - "metro1/pop2/G1/G1_r1|metro1/dc1/dc/dc|0", - "metro2/pop2/G7/G7_r2|metro2/dc1/dc/dc|0" + "metro1/pop2/G1/G1_r1|metro1/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -3827,8 +3827,8 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro5/pop1/G6/G6_r1|metro5/dc1/dc/dc|0", "metro1/pop2/G6/G6_r3|metro1/dc1/dc/dc|0", + "metro5/pop1/G6/G6_r1|metro5/dc1/dc/dc|0", "metro5/pop2/G6/G6_r2|metro5/dc1/dc/dc|0" ] }, @@ -3948,8 +3948,8 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro1/pop2/G7/G7_r2|metro1/dc1/dc/dc|0", "metro1/pop2/G6/G6_r3|metro1/dc1/dc/dc|0", + "metro1/pop2/G7/G7_r2|metro1/dc1/dc/dc|0", "metro2/pop2/G5/G5_r3|metro2/dc1/dc/dc|0" ] }, @@ -4181,9 +4181,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ + "metro5/pop1/G1/G1_r1|metro5/pop1/G1/G1_r3|0", "metro5/pop2/G3/G3_r1|metro5/pop2/G3/G3_r2|0", "metro5/pop1/G5/G5_r1|metro5/pop1/G6/G6_r3|0", - "metro5/pop1/G1/G1_r1|metro5/pop1/G1/G1_r3|0", "metro1/pop1/G7/G7_r1|metro1/pop1/G7/G7_r3|0" ] }, @@ -4295,8 +4295,8 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro1/pop2/G7/G7_r3|metro1/dc1/dc/dc|0", "metro1/pop1/G1/G1_r1|metro1/dc1/dc/dc|0", + "metro1/pop2/G7/G7_r3|metro1/dc1/dc/dc|0", "metro1/pop1/G4/G4_r2|metro1/dc1/dc/dc|0" ] }, @@ -4528,8 +4528,8 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro5/pop2/G6/G6_r3|metro5/dc1/dc/dc|0", "metro5/pop1/G4/G4_r2|metro5/dc1/dc/dc|0", + "metro5/pop2/G6/G6_r3|metro5/dc1/dc/dc|0", "metro2/pop2/G6/G6_r2|metro2/dc1/dc/dc|0" ] }, @@ -4773,8 +4773,8 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro1/pop1/G5/G5_r1|metro1/dc1/dc/dc|0", "metro2/pop1/G2/G2_r3|metro2/dc1/dc/dc|0", + "metro1/pop1/G5/G5_r1|metro1/dc1/dc/dc|0", "metro2/pop2/G1/G1_r3|metro2/dc1/dc/dc|0" ] }, @@ -5137,9 +5137,9 @@ "excluded_nodes": [], "excluded_links": [ "metro2/pop1/G3/G3_r1|metro2/pop1/G3/G3_r2|0", + "metro2/pop1/G5/G5_r1|metro2/pop1/G6/G6_r3|0", "metro5/pop2/G1/G1_r2|metro5/pop2/G6/G6_r2|0", - "metro1/pop2/G2/G2_r1|metro1/pop2/G2/G2_r2|0", - "metro2/pop1/G5/G5_r1|metro2/pop1/G6/G6_r3|0" + "metro1/pop2/G2/G2_r1|metro1/pop2/G2/G2_r2|0" ] }, "failure_trace": null, @@ -5251,9 +5251,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro2/pop1/G3/G3_r1|metro2/pop1/G3/G3_r2|0", "metro2/pop2/G6/G6_r1|metro2/pop2/G7/G7_r3|0", "metro1/pop1/G3/G3_r2|metro1/pop1/G3/G3_r3|0", + "metro2/pop1/G3/G3_r1|metro2/pop1/G3/G3_r2|0", "metro5/pop1/G2/G2_r1|metro5/pop1/G6/G6_r3|0" ] }, @@ -5365,8 +5365,8 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro1/pop2/G3/G3_r2|metro1/dc1/dc/dc|0", "metro2/pop1/G7/G7_r2|metro2/dc1/dc/dc|0", + "metro1/pop2/G3/G3_r2|metro1/dc1/dc/dc|0", "metro5/pop2/G1/G1_r2|metro5/dc1/dc/dc|0" ] }, @@ -5608,10 +5608,10 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro5/pop1/G4/G4_r1|metro5/pop1/G4/G4_r3|0", "metro1/pop2/G4/G4_r3|metro1/pop2/G7/G7_r1|0", + "metro1/pop1/G7/G7_r2|metro1/pop1/G7/G7_r3|0", "metro1/pop1/G4/G4_r1|metro1/pop1/G5/G5_r3|0", - "metro1/pop1/G7/G7_r2|metro1/pop1/G7/G7_r3|0" + "metro5/pop1/G4/G4_r1|metro5/pop1/G4/G4_r3|0" ] }, "failure_trace": null, @@ -5722,10 +5722,10 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro5/pop2/G3/G3_r1|metro5/pop2/G7/G7_r3|0", - "metro1/pop1/G3/G3_r1|metro1/pop1/G3/G3_r2|0", + "metro1/pop2/G6/G6_r2|metro1/pop2/G6/G6_r3|0", "metro1/pop1/G4/G4_r3|metro1/pop1/G7/G7_r1|0", - "metro1/pop2/G6/G6_r2|metro1/pop2/G6/G6_r3|0" + "metro1/pop1/G3/G3_r1|metro1/pop1/G3/G3_r2|0", + "metro5/pop2/G3/G3_r1|metro5/pop2/G7/G7_r3|0" ] }, "failure_trace": null, @@ -5837,8 +5837,8 @@ "excluded_nodes": [], "excluded_links": [ "metro1/pop1/G7/G7_r1|metro1/dc1/dc/dc|0", - "metro1/pop1/G4/G4_r2|metro1/dc1/dc/dc|0", - "metro5/pop2/G2/G2_r2|metro5/dc1/dc/dc|0" + "metro5/pop2/G2/G2_r2|metro5/dc1/dc/dc|0", + "metro1/pop1/G4/G4_r2|metro1/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -5955,9 +5955,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ + "metro2/pop1/G1/G1_r1|metro2/dc1/dc/dc|0", "metro1/pop1/G5/G5_r1|metro1/dc1/dc/dc|0", - "metro1/pop2/G4/G4_r3|metro1/dc1/dc/dc|0", - "metro2/pop1/G1/G1_r1|metro2/dc1/dc/dc|0" + "metro1/pop2/G4/G4_r3|metro1/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -6076,10 +6076,10 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro1/pop2/G3/G3_r2|metro1/pop2/G5/G5_r2|0", - "metro1/pop1/G3/G3_r1|metro1/pop1/G3/G3_r2|0", "metro5/pop1/G1/G1_r3|metro5/pop1/G4/G4_r1|0", - "metro1/pop1/G4/G4_r2|metro1/pop1/G4/G4_r3|0" + "metro1/pop2/G3/G3_r2|metro1/pop2/G5/G5_r2|0", + "metro1/pop1/G4/G4_r2|metro1/pop1/G4/G4_r3|0", + "metro1/pop1/G3/G3_r1|metro1/pop1/G3/G3_r2|0" ] }, "failure_trace": null, @@ -6190,9 +6190,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro2/pop2/G7/G7_r3|metro2/dc1/dc/dc|0", + "metro1/pop1/G6/G6_r1|metro1/dc1/dc/dc|0", "metro2/pop2/G6/G6_r3|metro2/dc1/dc/dc|0", - "metro1/pop1/G6/G6_r1|metro1/dc1/dc/dc|0" + "metro2/pop2/G7/G7_r3|metro2/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -6427,9 +6427,9 @@ "excluded_nodes": [], "excluded_links": [ "metro5/pop2/G1/G1_r1|metro5/pop2/G2/G2_r3|0", - "metro2/pop1/G5/G5_r2|metro2/pop1/G5/G5_r3|0", "metro2/pop1/G4/G4_r1|metro2/pop1/G4/G4_r2|0", - "metro1/pop2/G1/G1_r2|metro1/pop2/G1/G1_r3|0" + "metro1/pop2/G1/G1_r2|metro1/pop2/G1/G1_r3|0", + "metro2/pop1/G5/G5_r2|metro2/pop1/G5/G5_r3|0" ] }, "failure_trace": null, @@ -6667,9 +6667,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ + "metro5/pop1/G5/G5_r1|metro5/dc1/dc/dc|0", "metro5/pop2/G1/G1_r3|metro5/dc1/dc/dc|0", - "metro5/pop2/G1/G1_r2|metro5/dc1/dc/dc|0", - "metro5/pop1/G5/G5_r1|metro5/dc1/dc/dc|0" + "metro5/pop2/G1/G1_r2|metro5/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -6787,8 +6787,8 @@ "excluded_nodes": [], "excluded_links": [ "metro2/pop2/G2/G2_r2|metro2/dc1/dc/dc|0", - "metro1/pop2/G3/G3_r3|metro1/dc1/dc/dc|0", - "metro2/pop2/G3/G3_r1|metro2/dc1/dc/dc|0" + "metro2/pop2/G3/G3_r1|metro2/dc1/dc/dc|0", + "metro1/pop2/G3/G3_r3|metro1/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -7484,9 +7484,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro5/pop2/G5/G5_r1|metro5/dc1/dc/dc|0", "metro2/pop2/G3/G3_r3|metro2/dc1/dc/dc|0", - "metro5/pop1/G7/G7_r1|metro5/dc1/dc/dc|0" + "metro5/pop1/G7/G7_r1|metro5/dc1/dc/dc|0", + "metro5/pop2/G5/G5_r1|metro5/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -7608,9 +7608,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro5/pop2/G3/G3_r3|metro5/dc1/dc/dc|0", + "metro5/pop2/G1/G1_r3|metro5/dc1/dc/dc|0", "metro1/pop1/G5/G5_r2|metro1/dc1/dc/dc|0", - "metro5/pop2/G1/G1_r3|metro5/dc1/dc/dc|0" + "metro5/pop2/G3/G3_r3|metro5/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -7840,174 +7840,174 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro1/pop2/G2/G2_r1|metro2/pop2/G2/G2_r1|0", - "metro2/pop1/G3/G3_r3|metro3/pop1/core/core|0", - "metro1/pop1/G7/G7_r3|metro2/pop1/G7/G7_r3|0", - "metro1/pop2/G5/G5_r2|metro5/pop2/G5/G5_r2|0", - "metro2/pop2/G2/G2_r2|metro5/pop2/G2/G2_r2|0", - "metro1/pop2/G4/G4_r2|metro5/pop2/G4/G4_r2|0", - "metro2/pop1/G5/G5_r2|metro5/pop1/G5/G5_r2|0", - "metro2/pop1/G7/G7_r2|metro5/pop1/G7/G7_r2|0", - "metro2/pop2/G2/G2_r3|metro3/pop2/core/core|0", - "metro2/pop2/G3/G3_r2|metro5/pop2/G3/G3_r2|0", - "metro2/pop2/G7/G7_r3|metro5/pop2/G7/G7_r3|0", - "metro2/pop2/G4/G4_r2|metro3/pop2/core/core|0", - "metro2/pop1/G4/G4_r1|metro5/pop1/G4/G4_r1|0", - "metro1/pop2/G3/G3_r2|metro2/pop2/G3/G3_r2|0", - "metro2/pop1/G3/G3_r2|metro3/pop1/core/core|0", - "metro1/pop1/G7/G7_r1|metro5/pop1/G7/G7_r1|0", - "metro1/pop2/G5/G5_r3|metro2/pop2/G5/G5_r3|0", - "metro1/pop2/G6/G6_r2|metro5/pop2/G6/G6_r2|0", - "metro2/pop2/G6/G6_r2|metro3/pop2/core/core|0", - "metro1/pop1/G5/G5_r1|metro5/pop1/G5/G5_r1|0", - "metro1/pop2/G4/G4_r1|metro5/pop2/G4/G4_r1|0", - "metro1/pop1/G6/G6_r1|metro5/pop1/G6/G6_r1|0", - "metro2/pop2/G1/G1_r1|metro3/pop2/core/core|0", - "metro2/pop1/G1/G1_r2|metro5/pop1/G1/G1_r2|0", - "metro2/pop2/G6/G6_r2|metro5/pop2/G6/G6_r2|0", - "metro2/pop2/G5/G5_r2|metro3/pop2/core/core|0", + "metro1/pop2/G2/G2_r2|metro5/pop2/G2/G2_r2|0", + "metro1/pop1/G4/G4_r2|metro5/pop1/G4/G4_r2|0", "metro2/pop2/G6/G6_r1|metro3/pop2/core/core|0", - "metro1/pop1/G1/G1_r3|metro5/pop1/G1/G1_r3|0", - "metro1/pop1/G2/G2_r1|metro2/pop1/G2/G2_r1|0", - "metro2/pop1/G4/G4_r2|metro3/pop1/core/core|0", - "metro1/pop1/G2/G2_r1|metro5/pop1/G2/G2_r1|0", - "metro1/pop2/G2/G2_r2|metro2/pop2/G2/G2_r2|0", - "metro2/pop1/G5/G5_r1|metro3/pop1/core/core|0", - "metro1/pop2/G7/G7_r2|metro2/pop2/G7/G7_r2|0", - "metro1/pop2/G7/G7_r1|metro5/pop2/G7/G7_r1|0", - "metro1/pop1/G4/G4_r1|metro2/pop1/G4/G4_r1|0", - "metro1/pop1/G3/G3_r2|metro5/pop1/G3/G3_r2|0", - "metro2/pop1/G5/G5_r2|metro3/pop1/core/core|0", - "metro2/pop1/G1/G1_r1|metro5/pop1/G1/G1_r1|0", + "metro1/pop1/G7/G7_r2|metro5/pop1/G7/G7_r2|0", + "metro2/pop2/G3/G3_r2|metro5/pop2/G3/G3_r2|0", "metro1/pop1/G6/G6_r3|metro2/pop1/G6/G6_r3|0", - "metro1/pop2/G7/G7_r1|metro2/pop2/G7/G7_r1|0", - "metro2/pop1/G5/G5_r3|metro3/pop1/core/core|0", - "metro2/pop2/G3/G3_r1|metro5/pop2/G3/G3_r1|0", - "metro1/pop1/G5/G5_r2|metro2/pop1/G5/G5_r2|0", + "metro1/pop2/G4/G4_r2|metro2/pop2/G4/G4_r2|0", + "metro1/pop1/G5/G5_r3|metro5/pop1/G5/G5_r3|0", + "metro2/pop2/G6/G6_r2|metro5/pop2/G6/G6_r2|0", + "metro1/pop2/G5/G5_r1|metro5/pop2/G5/G5_r1|0", "metro2/pop2/G1/G1_r2|metro3/pop2/core/core|0", - "metro2/pop2/G5/G5_r1|metro5/pop2/G5/G5_r1|0", - "metro1/pop2/G4/G4_r1|metro2/pop2/G4/G4_r1|0", + "metro2/pop2/G5/G5_r1|metro3/pop2/core/core|0", + "metro2/pop1/G6/G6_r1|metro3/pop1/core/core|0", + "metro2/pop1/G2/G2_r1|metro5/pop1/G2/G2_r1|0", "metro2/pop2/G1/G1_r2|metro5/pop2/G1/G1_r2|0", - "metro1/pop2/G7/G7_r3|metro5/pop2/G7/G7_r3|0", - "metro1/pop2/G4/G4_r2|metro2/pop2/G4/G4_r2|0", - "metro2/pop1/G2/G2_r2|metro5/pop1/G2/G2_r2|0", + "metro1/pop1/G2/G2_r2|metro5/pop1/G2/G2_r2|0", + "metro1/pop2/G1/G1_r1|metro2/pop2/G1/G1_r1|0", + "metro2/pop1/G5/G5_r3|metro3/pop1/core/core|0", + "metro2/pop1/G7/G7_r2|metro3/pop1/core/core|0", + "metro1/pop1/G7/G7_r3|metro5/pop1/G7/G7_r3|0", + "metro2/pop2/G5/G5_r1|metro5/pop2/G5/G5_r1|0", + "metro1/pop1/G5/G5_r1|metro5/pop1/G5/G5_r1|0", + "metro2/pop2/G6/G6_r3|metro3/pop2/core/core|0", + "metro2/pop1/G7/G7_r3|metro5/pop1/G7/G7_r3|0", + "metro1/pop1/G6/G6_r1|metro2/pop1/G6/G6_r1|0", + "metro2/pop2/G6/G6_r2|metro3/pop2/core/core|0", + "metro2/pop1/G6/G6_r1|metro5/pop1/G6/G6_r1|0", + "metro1/pop1/G1/G1_r1|metro2/pop1/G1/G1_r1|0", + "metro2/pop2/G7/G7_r3|metro5/pop2/G7/G7_r3|0", + "metro1/pop1/G7/G7_r2|metro2/pop1/G7/G7_r2|0", + "metro2/pop2/G3/G3_r3|metro3/pop2/core/core|0", + "metro1/pop1/G4/G4_r2|metro2/pop1/G4/G4_r2|0", "metro2/pop2/G7/G7_r3|metro3/pop2/core/core|0", - "metro2/pop2/G5/G5_r3|metro3/pop2/core/core|0", - "metro2/pop1/G2/G2_r2|metro3/pop1/core/core|0", + "metro2/pop1/G6/G6_r2|metro3/pop1/core/core|0", + "metro1/pop2/G1/G1_r3|metro5/pop2/G1/G1_r3|0", + "metro1/pop2/G3/G3_r1|metro2/pop2/G3/G3_r1|0", + "metro2/pop1/G5/G5_r2|metro5/pop1/G5/G5_r2|0", + "metro1/pop1/G7/G7_r3|metro2/pop1/G7/G7_r3|0", + "metro2/pop2/G3/G3_r1|metro5/pop2/G3/G3_r1|0", + "metro1/pop2/G7/G7_r3|metro5/pop2/G7/G7_r3|0", + "metro1/pop2/G3/G3_r1|metro5/pop2/G3/G3_r1|0", + "metro1/pop1/G6/G6_r2|metro2/pop1/G6/G6_r2|0", + "metro2/pop2/G7/G7_r2|metro5/pop2/G7/G7_r2|0", + "metro1/pop2/G6/G6_r1|metro2/pop2/G6/G6_r1|0", + "metro2/pop1/G7/G7_r3|metro3/pop1/core/core|0", + "metro1/pop1/G6/G6_r3|metro5/pop1/G6/G6_r3|0", + "metro2/pop2/G1/G1_r3|metro3/pop2/core/core|0", + "metro2/pop2/G6/G6_r3|metro5/pop2/G6/G6_r3|0", + "metro2/pop1/G5/G5_r1|metro3/pop1/core/core|0", "metro2/pop2/G7/G7_r2|metro3/pop2/core/core|0", - "metro1/pop2/G1/G1_r2|metro5/pop2/G1/G1_r2|0", - "metro2/pop1/G1/G1_r2|metro3/pop1/core/core|0", + "metro1/pop1/G2/G2_r3|metro5/pop1/G2/G2_r3|0", + "metro2/pop1/G6/G6_r3|metro5/pop1/G6/G6_r3|0", "metro2/pop2/G6/G6_r1|metro5/pop2/G6/G6_r1|0", - "metro1/pop2/G3/G3_r1|metro2/pop2/G3/G3_r1|0", - "metro1/pop2/G1/G1_r1|metro5/pop2/G1/G1_r1|0", - "metro2/pop1/G2/G2_r1|metro5/pop1/G2/G2_r1|0", - "metro2/pop2/G7/G7_r1|metro3/pop2/core/core|0", + "metro2/pop2/G5/G5_r3|metro5/pop2/G5/G5_r3|0", + "metro1/pop2/G3/G3_r2|metro5/pop2/G3/G3_r2|0", + "metro2/pop1/G6/G6_r2|metro5/pop1/G6/G6_r2|0", + "metro2/pop2/G2/G2_r1|metro5/pop2/G2/G2_r1|0", + "metro2/pop1/G2/G2_r3|metro3/pop1/core/core|0", + "metro1/pop2/G7/G7_r1|metro2/pop2/G7/G7_r1|0", + "metro1/pop2/G5/G5_r3|metro2/pop2/G5/G5_r3|0", + "metro1/pop2/G1/G1_r2|metro2/pop2/G1/G1_r2|0", + "metro2/pop2/G3/G3_r2|metro3/pop2/core/core|0", + "metro2/pop1/G1/G1_r1|metro5/pop1/G1/G1_r1|0", + "metro1/pop2/G2/G2_r1|metro2/pop2/G2/G2_r1|0", + "metro1/pop2/G7/G7_r2|metro2/pop2/G7/G7_r2|0", "metro1/pop2/G3/G3_r3|metro5/pop2/G3/G3_r3|0", - "metro2/pop1/G3/G3_r2|metro5/pop1/G3/G3_r2|0", - "metro1/pop1/G4/G4_r2|metro5/pop1/G4/G4_r2|0", - "metro1/pop2/G5/G5_r1|metro5/pop2/G5/G5_r1|0", - "metro1/pop1/G1/G1_r3|metro2/pop1/G1/G1_r3|0", - "metro1/pop1/G5/G5_r1|metro2/pop1/G5/G5_r1|0", - "metro2/pop1/G7/G7_r1|metro5/pop1/G7/G7_r1|0", - "metro2/pop2/G4/G4_r3|metro5/pop2/G4/G4_r3|0", - "metro2/pop2/G7/G7_r2|metro5/pop2/G7/G7_r2|0", - "metro1/pop1/G6/G6_r2|metro5/pop1/G6/G6_r2|0", - "metro2/pop2/G2/G2_r2|metro3/pop2/core/core|0", - "metro1/pop1/G4/G4_r3|metro2/pop1/G4/G4_r3|0", + "metro1/pop2/G4/G4_r2|metro5/pop2/G4/G4_r2|0", + "metro2/pop1/G2/G2_r1|metro3/pop1/core/core|0", "metro1/pop1/G3/G3_r2|metro2/pop1/G3/G3_r2|0", - "metro1/pop1/G1/G1_r2|metro2/pop1/G1/G1_r2|0", - "metro1/pop1/G3/G3_r1|metro5/pop1/G3/G3_r1|0", - "metro2/pop1/G6/G6_r3|metro3/pop1/core/core|0", - "metro2/pop1/G2/G2_r3|metro3/pop1/core/core|0", - "metro1/pop2/G7/G7_r2|metro5/pop2/G7/G7_r2|0", + "metro2/pop2/G2/G2_r3|metro3/pop2/core/core|0", + "metro1/pop1/G5/G5_r2|metro2/pop1/G5/G5_r2|0", + "metro1/pop2/G4/G4_r1|metro2/pop2/G4/G4_r1|0", + "metro2/pop2/G1/G1_r3|metro5/pop2/G1/G1_r3|0", "metro2/pop2/G3/G3_r3|metro5/pop2/G3/G3_r3|0", - 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"metro1/pop2/G6/G6_r3|metro2/pop2/G6/G6_r3|0", + "metro1/pop2/G1/G1_r1|metro5/pop2/G1/G1_r1|0", + "metro2/pop2/G1/G1_r1|metro3/pop2/core/core|0", + "metro1/pop1/G5/G5_r2|metro5/pop1/G5/G5_r2|0", + "metro2/pop1/G6/G6_r3|metro3/pop1/core/core|0", "metro1/pop1/G2/G2_r2|metro2/pop1/G2/G2_r2|0", - "metro1/pop1/G4/G4_r2|metro2/pop1/G4/G4_r2|0", - "metro1/pop2/G3/G3_r1|metro5/pop2/G3/G3_r1|0", - "metro2/pop1/G4/G4_r3|metro5/pop1/G4/G4_r3|0", + "metro2/pop1/G7/G7_r1|metro3/pop1/core/core|0", + "metro2/pop1/G5/G5_r1|metro5/pop1/G5/G5_r1|0", + "metro2/pop1/G5/G5_r2|metro3/pop1/core/core|0", + "metro2/pop1/G3/G3_r2|metro3/pop1/core/core|0", + "metro2/pop2/G2/G2_r2|metro3/pop2/core/core|0", + "metro2/pop2/G1/G1_r1|metro5/pop2/G1/G1_r1|0", + "metro1/pop2/G7/G7_r2|metro5/pop2/G7/G7_r2|0", + "metro1/pop1/G6/G6_r2|metro5/pop1/G6/G6_r2|0", + "metro1/pop1/G4/G4_r1|metro2/pop1/G4/G4_r1|0", + "metro2/pop1/G7/G7_r1|metro5/pop1/G7/G7_r1|0", + "metro1/pop2/G5/G5_r2|metro2/pop2/G5/G5_r2|0", + "metro1/pop1/G7/G7_r1|metro5/pop1/G7/G7_r1|0", "metro1/pop2/G7/G7_r3|metro2/pop2/G7/G7_r3|0", - "metro2/pop1/G4/G4_r1|metro3/pop1/core/core|0", - "metro2/pop2/G6/G6_r3|metro5/pop2/G6/G6_r3|0", - "metro1/pop2/G3/G3_r3|metro2/pop2/G3/G3_r3|0", - "metro2/pop2/G4/G4_r1|metro3/pop2/core/core|0" + "metro1/pop2/G2/G2_r1|metro5/pop2/G2/G2_r1|0" ] }, "failure_trace": null, @@ -8094,50 +8094,50 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro4/pop1/core/core|metro5/pop1/G3/G3_r2|0", + "metro4/pop1/core/core|metro5/pop1/G1/G1_r2|0", "metro3/pop2/core/core|metro4/pop2/core/core|0", - "metro4/pop1/core/core|metro5/pop1/G3/G3_r1|0", - "metro4/pop2/core/core|metro5/pop2/G2/G2_r2|0", + "metro4/pop2/core/core|metro5/pop2/G7/G7_r2|0", "metro4/pop1/core/core|metro5/pop1/G2/G2_r3|0", - "metro4/pop2/core/core|metro5/pop2/G3/G3_r1|0", - "metro4/pop2/core/core|metro5/pop2/G5/G5_r2|0", "metro4/pop2/core/core|metro5/pop2/G7/G7_r1|0", - "metro4/pop2/core/core|metro5/pop2/G7/G7_r3|0", - "metro3/pop1/core/core|metro4/pop1/core/core|0", - "metro4/pop1/core/core|metro5/pop1/G6/G6_r1|0", - "metro4/pop1/core/core|metro5/pop1/G7/G7_r1|0", + "metro4/pop1/core/core|metro5/pop1/G3/G3_r2|0", + "metro4/pop2/core/core|metro5/pop2/G4/G4_r2|0", + "metro4/pop1/core/core|metro5/pop1/G4/G4_r2|0", + "metro4/pop2/core/core|metro5/pop2/G2/G2_r1|0", + "metro4/pop2/core/core|metro5/pop2/G1/G1_r1|0", "metro4/pop1/core/core|metro5/pop1/G7/G7_r2|0", - "metro4/pop1/core/core|metro5/pop1/G2/G2_r2|0", - "metro4/pop2/core/core|metro5/pop2/G6/G6_r2|0", - "metro4/pop2/core/core|metro5/pop2/G3/G3_r3|0", - "metro4/pop2/core/core|metro5/pop2/G4/G4_r3|0", - "metro4/pop1/core/core|metro5/pop1/G2/G2_r1|0", + "metro4/pop1/core/core|metro5/pop1/G3/G3_r3|0", + "metro4/pop1/core/core|metro5/pop1/G4/G4_r3|0", + "metro4/pop1/core/core|metro5/pop1/G1/G1_r1|0", "metro4/pop1/core/core|metro5/pop1/G6/G6_r3|0", + "metro3/pop1/core/core|metro4/pop1/core/core|0", + "metro4/pop1/core/core|metro5/pop1/G7/G7_r1|0", + "metro4/pop2/core/core|metro5/pop2/G4/G4_r1|0", "metro4/pop1/core/core|metro5/pop1/G7/G7_r3|0", - "metro4/pop1/core/core|metro5/pop1/G4/G4_r3|0", - "metro4/pop1/core/core|metro5/pop1/G1/G1_r2|0", - "metro4/pop2/core/core|metro5/pop2/G1/G1_r2|0", - "metro4/pop2/core/core|metro5/pop2/G2/G2_r1|0", + "metro4/pop2/core/core|metro5/pop2/G6/G6_r3|0", + "metro4/pop1/core/core|metro5/pop1/G3/G3_r1|0", + "metro4/pop2/core/core|metro5/pop2/G3/G3_r3|0", + "metro4/pop1/core/core|metro5/pop1/G5/G5_r3|0", + "metro4/pop2/core/core|metro5/pop2/G7/G7_r3|0", "metro4/pop2/core/core|metro5/pop2/G2/G2_r3|0", - "metro4/pop1/core/core|metro5/pop1/G3/G3_r3|0", - "metro4/pop2/core/core|metro5/pop2/G4/G4_r1|0", - "metro4/pop2/core/core|metro5/pop2/G4/G4_r2|0", + "metro4/pop2/core/core|metro5/pop2/G2/G2_r2|0", + "metro4/pop2/core/core|metro5/pop2/G1/G1_r2|0", + "metro4/pop2/core/core|metro5/pop2/G5/G5_r2|0", "metro4/pop1/core/core|metro5/pop1/G4/G4_r1|0", - "metro4/pop2/core/core|metro5/pop2/G5/G5_r3|0", - "metro4/pop1/core/core|metro5/pop1/G4/G4_r2|0", - "metro4/pop2/core/core|metro5/pop2/G3/G3_r2|0", - "metro4/pop1/core/core|metro5/pop1/G5/G5_r3|0", - "metro4/pop2/core/core|metro5/pop2/G7/G7_r2|0", "metro4/pop2/core/core|metro5/pop2/G6/G6_r1|0", - "metro4/pop1/core/core|metro5/pop1/G6/G6_r2|0", + "metro4/pop2/core/core|metro5/pop2/G3/G3_r1|0", + "metro4/pop2/core/core|metro5/pop2/G5/G5_r3|0", "metro4/pop1/core/core|metro5/pop1/G1/G1_r3|0", + "metro4/pop1/core/core|metro5/pop1/G5/G5_r2|0", + "metro4/pop2/core/core|metro5/pop2/G1/G1_r3|0", + "metro4/pop1/core/core|metro5/pop1/G2/G2_r1|0", + "metro4/pop1/core/core|metro5/pop1/G2/G2_r2|0", + "metro4/pop2/core/core|metro5/pop2/G6/G6_r2|0", + "metro4/pop1/core/core|metro5/pop1/G6/G6_r2|0", "metro4/pop2/core/core|metro5/pop2/G5/G5_r1|0", - "metro4/pop2/core/core|metro5/pop2/G6/G6_r3|0", + "metro4/pop2/core/core|metro5/pop2/G3/G3_r2|0", "metro4/pop1/core/core|metro5/pop1/G5/G5_r1|0", - "metro4/pop2/core/core|metro5/pop2/G1/G1_r3|0", - "metro4/pop2/core/core|metro5/pop2/G1/G1_r1|0", - "metro4/pop1/core/core|metro5/pop1/G1/G1_r1|0", - "metro4/pop1/core/core|metro5/pop1/G5/G5_r2|0" + "metro4/pop1/core/core|metro5/pop1/G6/G6_r1|0", + "metro4/pop2/core/core|metro5/pop2/G4/G4_r3|0" ] }, "failure_trace": null, @@ -8247,9 +8247,9 @@ "excluded_nodes": [], "excluded_links": [ "metro5/pop1/G5/G5_r1|metro5/pop1/G5/G5_r2|0", + "metro2/pop2/G4/G4_r2|metro2/pop2/G6/G6_r2|0", "metro1/pop2/G3/G3_r1|metro1/pop2/G3/G3_r2|0", - "metro1/pop1/G6/G6_r1|metro1/pop1/G7/G7_r3|0", - "metro2/pop2/G4/G4_r2|metro2/pop2/G6/G6_r2|0" + "metro1/pop1/G6/G6_r1|metro1/pop1/G7/G7_r3|0" ] }, "failure_trace": null, @@ -8473,9 +8473,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro2/pop1/G3/G3_r2|metro2/dc1/dc/dc|0", "metro1/pop2/G6/G6_r2|metro1/dc1/dc/dc|0", - "metro2/pop2/G3/G3_r2|metro2/dc1/dc/dc|0" + "metro2/pop2/G3/G3_r2|metro2/dc1/dc/dc|0", + "metro2/pop1/G3/G3_r2|metro2/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -8595,10 +8595,10 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro2/pop2/G2/G2_r1|metro2/pop2/G2/G2_r2|0", - "metro1/pop1/G1/G1_r1|metro1/pop1/G5/G5_r3|0", "metro2/pop1/G3/G3_r2|metro2/pop1/G3/G3_r3|0", - "metro1/pop2/G4/G4_r1|metro1/pop2/G4/G4_r3|0" + "metro1/pop2/G4/G4_r1|metro1/pop2/G4/G4_r3|0", + "metro2/pop2/G2/G2_r1|metro2/pop2/G2/G2_r2|0", + "metro1/pop1/G1/G1_r1|metro1/pop1/G5/G5_r3|0" ] }, "failure_trace": null, @@ -8709,9 +8709,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro1/pop2/G3/G3_r2|metro1/dc1/dc/dc|0", + "metro2/pop1/G2/G2_r3|metro2/dc1/dc/dc|0", "metro5/pop2/G7/G7_r2|metro5/dc1/dc/dc|0", - "metro2/pop1/G2/G2_r3|metro2/dc1/dc/dc|0" + "metro1/pop2/G3/G3_r2|metro1/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -8828,10 +8828,10 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro2/pop1/G1/G1_r1|metro2/pop1/G1/G1_r3|0", "metro2/pop1/G1/G1_r2|metro2/pop1/G6/G6_r2|0", "metro5/pop1/G6/G6_r1|metro5/pop1/G6/G6_r3|0", - "metro2/pop1/G4/G4_r1|metro2/pop1/G4/G4_r3|0" + "metro2/pop1/G4/G4_r1|metro2/pop1/G4/G4_r3|0", + "metro2/pop1/G1/G1_r1|metro2/pop1/G1/G1_r3|0" ] }, "failure_trace": null, @@ -9402,8 +9402,8 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro1/pop1/G5/G5_r3|metro1/dc1/dc/dc|0", "metro5/pop1/G6/G6_r2|metro5/dc1/dc/dc|0", + "metro1/pop1/G5/G5_r3|metro1/dc1/dc/dc|0", "metro5/pop1/G6/G6_r3|metro5/dc1/dc/dc|0" ] }, @@ -9521,9 +9521,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro2/pop2/G4/G4_r3|metro2/dc1/dc/dc|0", + "metro1/pop1/G6/G6_r2|metro1/dc1/dc/dc|0", "metro5/pop1/G6/G6_r3|metro5/dc1/dc/dc|0", - "metro1/pop1/G6/G6_r2|metro1/dc1/dc/dc|0" + "metro2/pop2/G4/G4_r3|metro2/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -9872,90 +9872,90 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro1/pop2/G2/G2_r1|metro2/pop2/G2/G2_r1|0", - "metro1/pop1/G7/G7_r3|metro2/pop1/G7/G7_r3|0", - "metro1/pop2/G5/G5_r2|metro5/pop2/G5/G5_r2|0", - "metro1/pop2/G6/G6_r1|metro2/pop2/G6/G6_r1|0", - "metro1/pop2/G4/G4_r2|metro5/pop2/G4/G4_r2|0", - "metro1/pop2/G6/G6_r3|metro2/pop2/G6/G6_r3|0", - "metro1/pop2/G4/G4_r3|metro2/pop2/G4/G4_r3|0", - "metro1/pop2/G6/G6_r1|metro5/pop2/G6/G6_r1|0", - "metro1/pop2/G3/G3_r2|metro2/pop2/G3/G3_r2|0", - "metro1/pop1/G7/G7_r2|metro2/pop1/G7/G7_r2|0", - "metro1/pop1/G7/G7_r1|metro5/pop1/G7/G7_r1|0", - "metro1/pop1/G4/G4_r3|metro5/pop1/G4/G4_r3|0", - "metro1/pop2/G5/G5_r3|metro2/pop2/G5/G5_r3|0", - "metro1/pop2/G6/G6_r2|metro5/pop2/G6/G6_r2|0", - "metro1/pop1/G6/G6_r3|metro5/pop1/G6/G6_r3|0", - "metro1/pop1/G5/G5_r2|metro5/pop1/G5/G5_r2|0", - "metro1/pop1/G5/G5_r1|metro5/pop1/G5/G5_r1|0", - "metro1/pop2/G1/G1_r2|metro2/pop2/G1/G1_r2|0", - "metro1/pop2/G4/G4_r1|metro5/pop2/G4/G4_r1|0", - "metro1/pop2/G4/G4_r3|metro5/pop2/G4/G4_r3|0", - "metro1/pop1/G6/G6_r1|metro5/pop1/G6/G6_r1|0", + "metro1/pop2/G3/G3_r3|metro2/pop2/G3/G3_r3|0", + "metro1/pop2/G2/G2_r2|metro5/pop2/G2/G2_r2|0", + "metro1/pop2/G7/G7_r1|metro5/pop2/G7/G7_r1|0", + "metro1/pop1/G4/G4_r2|metro5/pop1/G4/G4_r2|0", + "metro1/pop1/G7/G7_r2|metro5/pop1/G7/G7_r2|0", + "metro1/pop1/G6/G6_r3|metro2/pop1/G6/G6_r3|0", + "metro1/pop2/G1/G1_r3|metro2/pop2/G1/G1_r3|0", + "metro1/pop2/G4/G4_r2|metro2/pop2/G4/G4_r2|0", + "metro1/pop1/G4/G4_r3|metro2/pop1/G4/G4_r3|0", "metro1/pop1/G5/G5_r3|metro5/pop1/G5/G5_r3|0", - "metro1/pop1/G3/G3_r3|metro5/pop1/G3/G3_r3|0", "metro1/pop1/G1/G1_r3|metro5/pop1/G1/G1_r3|0", - "metro1/pop2/G1/G1_r3|metro2/pop2/G1/G1_r3|0", - "metro1/pop1/G2/G2_r1|metro2/pop1/G2/G2_r1|0", - "metro1/pop1/G2/G2_r3|metro2/pop1/G2/G2_r3|0", - "metro1/pop1/G2/G2_r1|metro5/pop1/G2/G2_r1|0", + "metro1/pop2/G5/G5_r1|metro5/pop2/G5/G5_r1|0", + "metro1/pop1/G1/G1_r3|metro2/pop1/G1/G1_r3|0", + "metro1/pop2/G2/G2_r3|metro5/pop2/G2/G2_r3|0", + "metro1/pop1/G2/G2_r2|metro5/pop1/G2/G2_r2|0", + "metro1/pop2/G1/G1_r1|metro2/pop2/G1/G1_r1|0", + "metro1/pop1/G1/G1_r2|metro2/pop1/G1/G1_r2|0", + "metro1/pop2/G6/G6_r3|metro5/pop2/G6/G6_r3|0", + "metro1/pop1/G3/G3_r1|metro5/pop1/G3/G3_r1|0", "metro1/pop2/G2/G2_r2|metro2/pop2/G2/G2_r2|0", "metro1/pop1/G7/G7_r3|metro5/pop1/G7/G7_r3|0", - "metro1/pop2/G7/G7_r2|metro2/pop2/G7/G7_r2|0", - "metro1/pop2/G7/G7_r1|metro5/pop2/G7/G7_r1|0", - "metro1/pop1/G4/G4_r1|metro2/pop1/G4/G4_r1|0", + "metro1/pop2/G5/G5_r1|metro2/pop2/G5/G5_r1|0", + "metro1/pop1/G5/G5_r1|metro5/pop1/G5/G5_r1|0", + "metro1/pop1/G7/G7_r1|metro2/pop1/G7/G7_r1|0", "metro1/pop1/G6/G6_r1|metro2/pop1/G6/G6_r1|0", - "metro1/pop1/G3/G3_r2|metro5/pop1/G3/G3_r2|0", - "metro1/pop2/G3/G3_r2|metro5/pop2/G3/G3_r2|0", - "metro1/pop1/G2/G2_r3|metro5/pop1/G2/G2_r3|0", - "metro1/pop2/G1/G1_r1|metro2/pop2/G1/G1_r1|0", - "metro1/pop2/G5/G5_r2|metro2/pop2/G5/G5_r2|0", - "metro1/pop1/G6/G6_r3|metro2/pop1/G6/G6_r3|0", - "metro1/pop2/G7/G7_r1|metro2/pop2/G7/G7_r1|0", - "metro1/pop1/G5/G5_r2|metro2/pop1/G5/G5_r2|0", - "metro1/pop2/G4/G4_r1|metro2/pop2/G4/G4_r1|0", - "metro1/pop2/G7/G7_r3|metro5/pop2/G7/G7_r3|0", + "metro1/pop2/G5/G5_r2|metro5/pop2/G5/G5_r2|0", + "metro1/pop2/G4/G4_r3|metro5/pop2/G4/G4_r3|0", + "metro1/pop1/G4/G4_r3|metro5/pop1/G4/G4_r3|0", + "metro1/pop1/G3/G3_r3|metro2/pop1/G3/G3_r3|0", "metro1/pop1/G1/G1_r1|metro5/pop1/G1/G1_r1|0", - "metro1/pop2/G4/G4_r2|metro2/pop2/G4/G4_r2|0", - "metro1/pop1/G7/G7_r2|metro5/pop1/G7/G7_r2|0", - "metro1/pop2/G2/G2_r2|metro5/pop2/G2/G2_r2|0", - "metro1/pop2/G1/G1_r2|metro5/pop2/G1/G1_r2|0", - "metro1/pop1/G4/G4_r1|metro5/pop1/G4/G4_r1|0", - "metro1/pop2/G3/G3_r1|metro2/pop2/G3/G3_r1|0", - "metro1/pop2/G1/G1_r1|metro5/pop2/G1/G1_r1|0", - "metro1/pop2/G2/G2_r3|metro2/pop2/G2/G2_r3|0", - "metro1/pop2/G3/G3_r3|metro5/pop2/G3/G3_r3|0", - "metro1/pop1/G4/G4_r2|metro5/pop1/G4/G4_r2|0", - "metro1/pop2/G5/G5_r1|metro5/pop2/G5/G5_r1|0", "metro1/pop1/G1/G1_r1|metro2/pop1/G1/G1_r1|0", - "metro1/pop1/G1/G1_r3|metro2/pop1/G1/G1_r3|0", + "metro1/pop1/G7/G7_r2|metro2/pop1/G7/G7_r2|0", + "metro1/pop2/G6/G6_r2|metro5/pop2/G6/G6_r2|0", + "metro1/pop1/G4/G4_r2|metro2/pop1/G4/G4_r2|0", "metro1/pop1/G1/G1_r2|metro5/pop1/G1/G1_r2|0", - "metro1/pop1/G5/G5_r1|metro2/pop1/G5/G5_r1|0", - "metro1/pop1/G7/G7_r1|metro2/pop1/G7/G7_r1|0", - "metro1/pop1/G6/G6_r2|metro5/pop1/G6/G6_r2|0", + "metro1/pop2/G1/G1_r3|metro5/pop2/G1/G1_r3|0", + "metro1/pop1/G6/G6_r1|metro5/pop1/G6/G6_r1|0", + "metro1/pop2/G3/G3_r1|metro2/pop2/G3/G3_r1|0", + "metro1/pop2/G1/G1_r2|metro5/pop2/G1/G1_r2|0", + "metro1/pop1/G7/G7_r3|metro2/pop1/G7/G7_r3|0", + "metro1/pop2/G7/G7_r3|metro5/pop2/G7/G7_r3|0", + "metro1/pop2/G3/G3_r1|metro5/pop2/G3/G3_r1|0", + "metro1/pop1/G6/G6_r2|metro2/pop1/G6/G6_r2|0", + "metro1/pop2/G6/G6_r1|metro2/pop2/G6/G6_r1|0", "metro1/pop2/G6/G6_r2|metro2/pop2/G6/G6_r2|0", - "metro1/pop2/G5/G5_r1|metro2/pop2/G5/G5_r1|0", + "metro1/pop1/G6/G6_r3|metro5/pop1/G6/G6_r3|0", + "metro1/pop2/G2/G2_r3|metro2/pop2/G2/G2_r3|0", + "metro1/pop2/G6/G6_r1|metro5/pop2/G6/G6_r1|0", + "metro1/pop1/G2/G2_r3|metro5/pop1/G2/G2_r3|0", + "metro1/pop1/G2/G2_r3|metro2/pop1/G2/G2_r3|0", + "metro1/pop1/G3/G3_r3|metro5/pop1/G3/G3_r3|0", + "metro1/pop1/G5/G5_r1|metro2/pop1/G5/G5_r1|0", + "metro1/pop1/G3/G3_r2|metro5/pop1/G3/G3_r2|0", + "metro1/pop2/G3/G3_r2|metro5/pop2/G3/G3_r2|0", + "metro1/pop1/G4/G4_r1|metro5/pop1/G4/G4_r1|0", "metro1/pop2/G5/G5_r3|metro5/pop2/G5/G5_r3|0", - "metro1/pop1/G4/G4_r3|metro2/pop1/G4/G4_r3|0", - "metro1/pop1/G3/G3_r2|metro2/pop1/G3/G3_r2|0", - "metro1/pop2/G1/G1_r3|metro5/pop2/G1/G1_r3|0", - "metro1/pop1/G1/G1_r2|metro2/pop1/G1/G1_r2|0", - "metro1/pop1/G3/G3_r1|metro5/pop1/G3/G3_r1|0", - "metro1/pop2/G7/G7_r2|metro5/pop2/G7/G7_r2|0", "metro1/pop1/G5/G5_r3|metro2/pop1/G5/G5_r3|0", - "metro1/pop1/G3/G3_r3|metro2/pop1/G3/G3_r3|0", - "metro1/pop2/G2/G2_r3|metro5/pop2/G2/G2_r3|0", - "metro1/pop1/G3/G3_r1|metro2/pop1/G3/G3_r1|0", - "metro1/pop1/G6/G6_r2|metro2/pop1/G6/G6_r2|0", + "metro1/pop2/G4/G4_r3|metro2/pop2/G4/G4_r3|0", + "metro1/pop2/G6/G6_r3|metro2/pop2/G6/G6_r3|0", + "metro1/pop2/G1/G1_r1|metro5/pop2/G1/G1_r1|0", + "metro1/pop2/G7/G7_r1|metro2/pop2/G7/G7_r1|0", + "metro1/pop1/G5/G5_r2|metro5/pop1/G5/G5_r2|0", + "metro1/pop2/G5/G5_r3|metro2/pop2/G5/G5_r3|0", "metro1/pop1/G2/G2_r2|metro2/pop1/G2/G2_r2|0", - "metro1/pop1/G2/G2_r2|metro5/pop1/G2/G2_r2|0", - "metro1/pop1/G4/G4_r2|metro2/pop1/G4/G4_r2|0", - "metro1/pop2/G3/G3_r1|metro5/pop2/G3/G3_r1|0", + "metro1/pop2/G1/G1_r2|metro2/pop2/G1/G1_r2|0", + "metro1/pop2/G2/G2_r1|metro2/pop2/G2/G2_r1|0", + "metro1/pop2/G7/G7_r2|metro2/pop2/G7/G7_r2|0", + "metro1/pop2/G3/G3_r3|metro5/pop2/G3/G3_r3|0", + "metro1/pop2/G4/G4_r2|metro5/pop2/G4/G4_r2|0", + "metro1/pop2/G7/G7_r2|metro5/pop2/G7/G7_r2|0", + "metro1/pop1/G3/G3_r2|metro2/pop1/G3/G3_r2|0", + "metro1/pop1/G6/G6_r2|metro5/pop1/G6/G6_r2|0", + "metro1/pop1/G5/G5_r2|metro2/pop1/G5/G5_r2|0", + "metro1/pop1/G4/G4_r1|metro2/pop1/G4/G4_r1|0", + "metro1/pop2/G4/G4_r1|metro2/pop2/G4/G4_r1|0", + "metro1/pop1/G3/G3_r1|metro2/pop1/G3/G3_r1|0", + "metro1/pop2/G3/G3_r2|metro2/pop2/G3/G3_r2|0", + "metro1/pop2/G4/G4_r1|metro5/pop2/G4/G4_r1|0", + "metro1/pop2/G5/G5_r2|metro2/pop2/G5/G5_r2|0", + "metro1/pop1/G2/G2_r1|metro5/pop1/G2/G2_r1|0", + "metro1/pop1/G7/G7_r1|metro5/pop1/G7/G7_r1|0", "metro1/pop2/G7/G7_r3|metro2/pop2/G7/G7_r3|0", - "metro1/pop2/G2/G2_r1|metro5/pop2/G2/G2_r1|0", - "metro1/pop2/G6/G6_r3|metro5/pop2/G6/G6_r3|0", - "metro1/pop2/G3/G3_r3|metro2/pop2/G3/G3_r3|0" + "metro1/pop1/G2/G2_r1|metro2/pop1/G2/G2_r1|0", + "metro1/pop2/G2/G2_r1|metro5/pop2/G2/G2_r1|0" ] }, "failure_trace": null, @@ -10042,9 +10042,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ + "metro2/pop2/G1/G1_r1|metro2/dc1/dc/dc|0", "metro1/pop1/G6/G6_r1|metro1/dc1/dc/dc|0", - "metro5/pop2/G2/G2_r1|metro5/dc1/dc/dc|0", - "metro2/pop2/G1/G1_r1|metro2/dc1/dc/dc|0" + "metro5/pop2/G2/G2_r1|metro5/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -10166,8 +10166,8 @@ "excluded_nodes": [], "excluded_links": [ "metro5/pop1/G4/G4_r1|metro5/dc1/dc/dc|0", - "metro2/pop2/G7/G7_r3|metro2/dc1/dc/dc|0", - "metro5/pop1/G6/G6_r3|metro5/dc1/dc/dc|0" + "metro5/pop1/G6/G6_r3|metro5/dc1/dc/dc|0", + "metro2/pop2/G7/G7_r3|metro2/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -10408,8 +10408,8 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro1/pop1/G1/G1_r3|metro1/dc1/dc/dc|0", "metro1/pop2/G4/G4_r3|metro1/dc1/dc/dc|0", + "metro1/pop1/G1/G1_r3|metro1/dc1/dc/dc|0", "metro1/pop1/G2/G2_r2|metro1/dc1/dc/dc|0" ] }, @@ -10527,9 +10527,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro5/pop2/G3/G3_r3|metro5/dc1/dc/dc|0", + "metro2/pop2/G1/G1_r1|metro2/dc1/dc/dc|0", "metro5/pop1/G2/G2_r3|metro5/dc1/dc/dc|0", - "metro2/pop2/G1/G1_r1|metro2/dc1/dc/dc|0" + "metro5/pop2/G3/G3_r3|metro5/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -10650,9 +10650,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ + "metro2/pop2/G3/G3_r2|metro2/dc1/dc/dc|0", "metro5/pop1/G2/G2_r3|metro5/dc1/dc/dc|0", - "metro2/pop2/G4/G4_r3|metro2/dc1/dc/dc|0", - "metro2/pop2/G3/G3_r2|metro2/dc1/dc/dc|0" + "metro2/pop2/G4/G4_r3|metro2/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -10772,8 +10772,8 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro2/pop1/G5/G5_r2|metro2/dc1/dc/dc|0", "metro2/pop1/G6/G6_r2|metro2/dc1/dc/dc|0", + "metro2/pop1/G5/G5_r2|metro2/dc1/dc/dc|0", "metro2/pop2/G3/G3_r2|metro2/dc1/dc/dc|0" ] }, @@ -10897,9 +10897,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro1/pop2/G6/G6_r2|metro1/dc1/dc/dc|0", "metro1/pop1/G1/G1_r3|metro1/dc1/dc/dc|0", - "metro1/pop1/G2/G2_r2|metro1/dc1/dc/dc|0" + "metro1/pop1/G2/G2_r2|metro1/dc1/dc/dc|0", + "metro1/pop2/G6/G6_r2|metro1/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -11136,10 +11136,10 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro2/pop1/G6/G6_r1|metro2/pop1/G7/G7_r3|0", "metro2/pop1/G1/G1_r2|metro2/pop1/G6/G6_r2|0", - "metro2/pop1/G6/G6_r1|metro2/pop1/G6/G6_r2|0", - "metro2/pop2/G2/G2_r2|metro2/pop2/G7/G7_r2|0" + "metro2/pop2/G2/G2_r2|metro2/pop2/G7/G7_r2|0", + "metro2/pop1/G6/G6_r1|metro2/pop1/G7/G7_r3|0", + "metro2/pop1/G6/G6_r1|metro2/pop1/G6/G6_r2|0" ] }, "failure_trace": null, @@ -11363,8 +11363,8 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro2/pop1/G6/G6_r3|metro2/dc1/dc/dc|0", "metro1/pop1/G5/G5_r2|metro1/dc1/dc/dc|0", + "metro2/pop1/G6/G6_r3|metro2/dc1/dc/dc|0", "metro2/pop1/G4/G4_r3|metro2/dc1/dc/dc|0" ] }, @@ -11484,9 +11484,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ + "metro2/pop1/G6/G6_r2|metro2/dc1/dc/dc|0", "metro1/pop1/G6/G6_r3|metro1/dc1/dc/dc|0", - "metro2/pop1/G1/G1_r3|metro2/dc1/dc/dc|0", - "metro2/pop1/G6/G6_r2|metro2/dc1/dc/dc|0" + "metro2/pop1/G1/G1_r3|metro2/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -11605,9 +11605,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro1/pop2/G5/G5_r3|metro1/dc1/dc/dc|0", "metro2/pop1/G1/G1_r1|metro2/dc1/dc/dc|0", - "metro2/pop1/G4/G4_r3|metro2/dc1/dc/dc|0" + "metro2/pop1/G4/G4_r3|metro2/dc1/dc/dc|0", + "metro1/pop2/G5/G5_r3|metro1/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -11950,9 +11950,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ + "metro1/pop1/G2/G2_r2|metro1/dc1/dc/dc|0", "metro5/pop1/G4/G4_r1|metro5/dc1/dc/dc|0", - "metro1/pop1/G7/G7_r1|metro1/dc1/dc/dc|0", - "metro1/pop1/G2/G2_r2|metro1/dc1/dc/dc|0" + "metro1/pop1/G7/G7_r1|metro1/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -12069,9 +12069,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ + "metro2/pop1/G2/G2_r1|metro2/dc1/dc/dc|0", "metro5/pop1/G6/G6_r1|metro5/dc1/dc/dc|0", - "metro2/pop1/G2/G2_r2|metro2/dc1/dc/dc|0", - "metro2/pop1/G2/G2_r1|metro2/dc1/dc/dc|0" + "metro2/pop1/G2/G2_r2|metro2/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -12301,9 +12301,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro5/pop2/G2/G2_r2|metro5/dc1/dc/dc|0", "metro1/pop1/G5/G5_r1|metro1/dc1/dc/dc|0", - "metro5/pop1/G7/G7_r3|metro5/dc1/dc/dc|0" + "metro5/pop1/G7/G7_r3|metro5/dc1/dc/dc|0", + "metro5/pop2/G2/G2_r2|metro5/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -12537,8 +12537,8 @@ "excluded_nodes": [], "excluded_links": [ "metro5/pop1/G6/G6_r1|metro5/dc1/dc/dc|0", - "metro2/pop1/G1/G1_r2|metro2/dc1/dc/dc|0", - "metro5/pop2/G2/G2_r2|metro5/dc1/dc/dc|0" + "metro5/pop2/G2/G2_r2|metro5/dc1/dc/dc|0", + "metro2/pop1/G1/G1_r2|metro2/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -13016,10 +13016,10 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ + "metro5/pop1/G2/G2_r2|metro5/pop1/G2/G2_r3|0", "metro2/pop2/G4/G4_r2|metro2/pop2/G4/G4_r3|0", - "metro2/pop1/G7/G7_r2|metro2/pop1/G7/G7_r3|0", "metro1/pop1/G4/G4_r2|metro1/pop1/G4/G4_r3|0", - "metro5/pop1/G2/G2_r2|metro5/pop1/G2/G2_r3|0" + "metro2/pop1/G7/G7_r2|metro2/pop1/G7/G7_r3|0" ] }, "failure_trace": null, @@ -13469,10 +13469,10 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro5/pop2/G3/G3_r1|metro5/pop2/G3/G3_r2|0", + "metro2/pop2/G1/G1_r2|metro2/pop2/G1/G1_r3|0", "metro2/pop1/G2/G2_r1|metro2/pop1/G6/G6_r3|0", "metro2/pop2/G2/G2_r1|metro2/pop2/G6/G6_r3|0", - "metro2/pop2/G1/G1_r2|metro2/pop2/G1/G1_r3|0" + "metro5/pop2/G3/G3_r1|metro5/pop2/G3/G3_r2|0" ] }, "failure_trace": null, @@ -13583,9 +13583,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro2/pop2/G7/G7_r3|metro2/dc1/dc/dc|0", "metro1/pop2/G4/G4_r1|metro1/dc1/dc/dc|0", - "metro5/pop2/G2/G2_r2|metro5/dc1/dc/dc|0" + "metro5/pop2/G2/G2_r2|metro5/dc1/dc/dc|0", + "metro2/pop2/G7/G7_r3|metro2/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -13816,8 +13816,8 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro2/pop2/G4/G4_r1|metro2/dc1/dc/dc|0", "metro1/pop2/G1/G1_r3|metro1/dc1/dc/dc|0", + "metro2/pop2/G4/G4_r1|metro2/dc1/dc/dc|0", "metro2/pop2/G4/G4_r3|metro2/dc1/dc/dc|0" ] }, @@ -13934,10 +13934,10 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro2/pop1/G3/G3_r1|metro2/pop1/G3/G3_r3|0", - "metro1/pop2/G1/G1_r2|metro1/pop2/G3/G3_r2|0", "metro5/pop2/G3/G3_r2|metro5/pop2/G3/G3_r3|0", - "metro2/pop2/G6/G6_r1|metro2/pop2/G7/G7_r3|0" + "metro2/pop2/G6/G6_r1|metro2/pop2/G7/G7_r3|0", + "metro1/pop2/G1/G1_r2|metro1/pop2/G3/G3_r2|0", + "metro2/pop1/G3/G3_r1|metro2/pop1/G3/G3_r3|0" ] }, "failure_trace": null, @@ -14388,9 +14388,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ + "metro2/pop1/G2/G2_r3|metro2/dc1/dc/dc|0", "metro2/pop1/G4/G4_r2|metro2/dc1/dc/dc|0", - "metro1/pop1/G4/G4_r2|metro1/dc1/dc/dc|0", - "metro2/pop1/G2/G2_r3|metro2/dc1/dc/dc|0" + "metro1/pop1/G4/G4_r2|metro1/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -14511,10 +14511,10 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ + "metro2/pop2/G2/G2_r1|metro2/pop2/G2/G2_r3|0", "metro2/pop1/G4/G4_r2|metro2/pop1/G4/G4_r3|0", - "metro2/pop1/G4/G4_r3|metro2/pop1/G7/G7_r1|0", "metro5/pop2/G2/G2_r3|metro5/pop2/G5/G5_r1|0", - "metro2/pop2/G2/G2_r1|metro2/pop2/G2/G2_r3|0" + "metro2/pop1/G4/G4_r3|metro2/pop1/G7/G7_r1|0" ] }, "failure_trace": null, @@ -14627,9 +14627,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro2/pop1/G6/G6_r3|metro2/dc1/dc/dc|0", + "metro5/pop2/G5/G5_r2|metro5/dc1/dc/dc|0", "metro5/pop2/G6/G6_r2|metro5/dc1/dc/dc|0", - "metro5/pop2/G5/G5_r2|metro5/dc1/dc/dc|0" + "metro2/pop1/G6/G6_r3|metro2/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -15093,9 +15093,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro5/pop1/G7/G7_r2|metro5/dc1/dc/dc|0", + "metro5/pop1/G5/G5_r1|metro5/dc1/dc/dc|0", "metro5/pop2/G7/G7_r1|metro5/dc1/dc/dc|0", - "metro5/pop1/G5/G5_r1|metro5/dc1/dc/dc|0" + "metro5/pop1/G7/G7_r2|metro5/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -15212,10 +15212,10 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro5/pop1/G3/G3_r1|metro5/pop1/G4/G4_r3|0", - "metro1/pop2/G1/G1_r2|metro1/pop2/G3/G3_r2|0", + "metro2/pop1/G5/G5_r1|metro2/pop1/G5/G5_r2|0", "metro1/pop2/G2/G2_r1|metro1/pop2/G2/G2_r2|0", - "metro2/pop1/G5/G5_r1|metro2/pop1/G5/G5_r2|0" + "metro5/pop1/G3/G3_r1|metro5/pop1/G4/G4_r3|0", + "metro1/pop2/G1/G1_r2|metro1/pop2/G3/G3_r2|0" ] }, "failure_trace": null, @@ -15437,8 +15437,8 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro2/pop2/G1/G1_r2|metro2/dc1/dc/dc|0", "metro2/pop1/G7/G7_r2|metro2/dc1/dc/dc|0", + "metro2/pop2/G1/G1_r2|metro2/dc1/dc/dc|0", "metro2/pop2/G1/G1_r3|metro2/dc1/dc/dc|0" ] }, @@ -15561,9 +15561,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro5/pop1/G1/G1_r3|metro5/dc1/dc/dc|0", + "metro2/pop1/G7/G7_r2|metro2/dc1/dc/dc|0", "metro1/pop2/G3/G3_r1|metro1/dc1/dc/dc|0", - "metro2/pop1/G7/G7_r2|metro2/dc1/dc/dc|0" + "metro5/pop1/G1/G1_r3|metro5/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -15684,9 +15684,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ + "metro5/pop2/G4/G4_r1|metro5/dc1/dc/dc|0", "metro1/pop1/G1/G1_r3|metro1/dc1/dc/dc|0", - "metro2/pop1/G3/G3_r1|metro2/dc1/dc/dc|0", - "metro5/pop2/G4/G4_r1|metro5/dc1/dc/dc|0" + "metro2/pop1/G3/G3_r1|metro2/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -15806,9 +15806,9 @@ "excluded_nodes": [], "excluded_links": [ "metro2/pop2/G3/G3_r1|metro2/pop2/G4/G4_r3|0", - "metro2/pop2/G2/G2_r2|metro2/pop2/G2/G2_r3|0", + "metro2/pop1/G2/G2_r2|metro2/pop1/G2/G2_r3|0", "metro5/pop1/G2/G2_r2|metro5/pop1/G2/G2_r3|0", - "metro2/pop1/G2/G2_r2|metro2/pop1/G2/G2_r3|0" + "metro2/pop2/G2/G2_r2|metro2/pop2/G2/G2_r3|0" ] }, "failure_trace": null, @@ -16504,8 +16504,8 @@ "excluded_nodes": [], "excluded_links": [ "metro5/pop2/G7/G7_r1|metro5/dc1/dc/dc|0", - "metro1/pop1/G2/G2_r2|metro1/dc1/dc/dc|0", - "metro1/pop2/G2/G2_r1|metro1/dc1/dc/dc|0" + "metro1/pop2/G2/G2_r1|metro1/dc1/dc/dc|0", + "metro1/pop1/G2/G2_r2|metro1/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -16737,10 +16737,10 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro2/pop1/G2/G2_r2|metro2/pop1/G7/G7_r2|0", - "metro2/pop1/G5/G5_r2|metro2/pop1/G5/G5_r3|0", "metro2/pop2/G2/G2_r2|metro2/pop2/G4/G4_r2|0", - "metro2/pop2/G2/G2_r2|metro2/pop2/G7/G7_r2|0" + "metro2/pop1/G2/G2_r2|metro2/pop1/G7/G7_r2|0", + "metro2/pop2/G2/G2_r2|metro2/pop2/G7/G7_r2|0", + "metro2/pop1/G5/G5_r2|metro2/pop1/G5/G5_r3|0" ] }, "failure_trace": null, @@ -16851,10 +16851,10 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro5/pop2/G3/G3_r1|metro5/pop2/G7/G7_r3|0", - "metro1/pop2/G1/G1_r3|metro1/pop2/G4/G4_r1|0", + "metro5/pop1/G3/G3_r1|metro5/pop1/G7/G7_r3|0", "metro2/pop2/G2/G2_r1|metro2/pop2/G2/G2_r3|0", - "metro5/pop1/G3/G3_r1|metro5/pop1/G7/G7_r3|0" + "metro1/pop2/G1/G1_r3|metro1/pop2/G4/G4_r1|0", + "metro5/pop2/G3/G3_r1|metro5/pop2/G7/G7_r3|0" ] }, "failure_trace": null, @@ -16965,10 +16965,10 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro1/pop1/G4/G4_r1|metro1/pop1/G4/G4_r3|0", - "metro1/pop1/G2/G2_r1|metro1/pop1/G2/G2_r3|0", "metro5/pop1/G3/G3_r1|metro5/pop1/G7/G7_r3|0", - "metro1/pop2/G4/G4_r1|metro1/pop2/G4/G4_r3|0" + "metro1/pop2/G4/G4_r1|metro1/pop2/G4/G4_r3|0", + "metro1/pop1/G2/G2_r1|metro1/pop1/G2/G2_r3|0", + "metro1/pop1/G4/G4_r1|metro1/pop1/G4/G4_r3|0" ] }, "failure_trace": null, @@ -17193,9 +17193,9 @@ "excluded_nodes": [], "excluded_links": [ "metro5/pop1/G5/G5_r1|metro5/pop1/G5/G5_r2|0", - "metro1/pop2/G6/G6_r1|metro1/pop2/G7/G7_r3|0", "metro1/pop1/G6/G6_r1|metro1/pop1/G6/G6_r3|0", - "metro2/pop2/G2/G2_r1|metro2/pop2/G6/G6_r3|0" + "metro2/pop2/G2/G2_r1|metro2/pop2/G6/G6_r3|0", + "metro1/pop2/G6/G6_r1|metro1/pop2/G7/G7_r3|0" ] }, "failure_trace": null, @@ -17306,8 +17306,8 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro2/pop1/G1/G1_r2|metro2/dc1/dc/dc|0", "metro5/pop1/G7/G7_r1|metro5/dc1/dc/dc|0", + "metro2/pop1/G1/G1_r2|metro2/dc1/dc/dc|0", "metro2/pop2/G4/G4_r2|metro2/dc1/dc/dc|0" ] }, @@ -17431,9 +17431,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ + "metro2/pop2/G2/G2_r3|metro2/dc1/dc/dc|0", "metro2/pop2/G5/G5_r1|metro2/dc1/dc/dc|0", - "metro1/pop1/G2/G2_r1|metro1/dc1/dc/dc|0", - "metro2/pop2/G2/G2_r3|metro2/dc1/dc/dc|0" + "metro1/pop1/G2/G2_r1|metro1/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -17902,10 +17902,10 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ + "metro1/pop1/G5/G5_r1|metro1/pop1/G5/G5_r3|0", "metro2/pop1/G5/G5_r2|metro2/pop1/G7/G7_r2|0", "metro2/pop2/G7/G7_r2|metro2/pop2/G7/G7_r3|0", - "metro2/pop1/G7/G7_r2|metro2/pop1/G7/G7_r3|0", - "metro1/pop1/G5/G5_r1|metro1/pop1/G5/G5_r3|0" + "metro2/pop1/G7/G7_r2|metro2/pop1/G7/G7_r3|0" ] }, "failure_trace": null, @@ -18261,10 +18261,10 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro1/pop1/G1/G1_r1|metro1/pop1/G2/G2_r3|0", "metro1/pop2/G1/G1_r1|metro1/pop2/G1/G1_r3|0", "metro1/pop1/G6/G6_r1|metro1/pop1/G6/G6_r3|0", - "metro5/pop1/G5/G5_r2|metro5/pop1/G5/G5_r3|0" + "metro5/pop1/G5/G5_r2|metro5/pop1/G5/G5_r3|0", + "metro1/pop1/G1/G1_r1|metro1/pop1/G2/G2_r3|0" ] }, "failure_trace": null, @@ -18375,9 +18375,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro1/pop2/G6/G6_r1|metro1/dc1/dc/dc|0", "metro2/pop2/G2/G2_r1|metro2/dc1/dc/dc|0", - "metro5/pop1/G7/G7_r1|metro5/dc1/dc/dc|0" + "metro5/pop1/G7/G7_r1|metro5/dc1/dc/dc|0", + "metro1/pop2/G6/G6_r1|metro1/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -18498,9 +18498,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro1/pop2/G5/G5_r3|metro1/dc1/dc/dc|0", "metro5/pop1/G3/G3_r1|metro5/dc1/dc/dc|0", - "metro2/pop1/G2/G2_r1|metro2/dc1/dc/dc|0" + "metro2/pop1/G2/G2_r1|metro2/dc1/dc/dc|0", + "metro1/pop2/G5/G5_r3|metro1/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -18621,9 +18621,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ + "metro5/pop2/G4/G4_r1|metro5/dc1/dc/dc|0", "metro2/pop2/G3/G3_r3|metro2/dc1/dc/dc|0", - "metro2/pop1/G3/G3_r1|metro2/dc1/dc/dc|0", - "metro5/pop2/G4/G4_r1|metro5/dc1/dc/dc|0" + "metro2/pop1/G3/G3_r1|metro2/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -18742,9 +18742,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro5/pop2/G2/G2_r3|metro5/dc1/dc/dc|0", "metro1/pop1/G6/G6_r2|metro1/dc1/dc/dc|0", - "metro5/pop2/G2/G2_r1|metro5/dc1/dc/dc|0" + "metro5/pop2/G2/G2_r1|metro5/dc1/dc/dc|0", + "metro5/pop2/G2/G2_r3|metro5/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -18861,9 +18861,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ + "metro2/pop2/G7/G7_r2|metro2/dc1/dc/dc|0", "metro2/pop1/G1/G1_r2|metro2/dc1/dc/dc|0", - "metro2/pop2/G7/G7_r3|metro2/dc1/dc/dc|0", - "metro2/pop2/G7/G7_r2|metro2/dc1/dc/dc|0" + "metro2/pop2/G7/G7_r3|metro2/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -19094,9 +19094,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro5/pop2/G4/G4_r2|metro5/dc1/dc/dc|0", "metro1/pop1/G5/G5_r2|metro1/dc1/dc/dc|0", - "metro2/pop2/G5/G5_r1|metro2/dc1/dc/dc|0" + "metro2/pop2/G5/G5_r1|metro2/dc1/dc/dc|0", + "metro5/pop2/G4/G4_r2|metro5/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -19562,9 +19562,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ + "metro2/pop1/G1/G1_r1|metro2/dc1/dc/dc|0", "metro2/pop2/G7/G7_r2|metro2/dc1/dc/dc|0", - "metro2/pop1/G7/G7_r1|metro2/dc1/dc/dc|0", - "metro2/pop1/G1/G1_r1|metro2/dc1/dc/dc|0" + "metro2/pop1/G7/G7_r1|metro2/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -19688,8 +19688,8 @@ "excluded_nodes": [], "excluded_links": [ "metro5/pop2/G4/G4_r3|metro5/dc1/dc/dc|0", - "metro5/pop1/G1/G1_r3|metro5/dc1/dc/dc|0", - "metro2/pop2/G3/G3_r1|metro2/dc1/dc/dc|0" + "metro2/pop2/G3/G3_r1|metro2/dc1/dc/dc|0", + "metro5/pop1/G1/G1_r3|metro5/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -19810,9 +19810,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ + "metro2/pop1/G7/G7_r2|metro2/dc1/dc/dc|0", "metro2/pop2/G3/G3_r3|metro2/dc1/dc/dc|0", - "metro2/pop2/G3/G3_r1|metro2/dc1/dc/dc|0", - "metro2/pop1/G7/G7_r2|metro2/dc1/dc/dc|0" + "metro2/pop2/G3/G3_r1|metro2/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -19934,8 +19934,8 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro1/pop1/G2/G2_r3|metro1/dc1/dc/dc|0", "metro1/pop2/G2/G2_r3|metro1/dc1/dc/dc|0", + "metro1/pop1/G2/G2_r3|metro1/dc1/dc/dc|0", "metro2/pop2/G4/G4_r2|metro2/dc1/dc/dc|0" ] }, @@ -20289,10 +20289,10 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro2/pop1/G3/G3_r1|metro2/pop1/G3/G3_r2|0", "metro5/pop1/G1/G1_r1|metro5/pop1/G1/G1_r3|0", "metro1/pop1/G6/G6_r2|metro1/pop1/G6/G6_r3|0", - "metro1/pop1/G2/G2_r1|metro1/pop1/G2/G2_r3|0" + "metro1/pop1/G2/G2_r1|metro1/pop1/G2/G2_r3|0", + "metro2/pop1/G3/G3_r1|metro2/pop1/G3/G3_r2|0" ] }, "failure_trace": null, @@ -20404,8 +20404,8 @@ "excluded_nodes": [], "excluded_links": [ "metro1/pop1/G5/G5_r1|metro1/dc1/dc/dc|0", - "metro1/pop1/G4/G4_r2|metro1/dc1/dc/dc|0", - "metro2/pop2/G1/G1_r1|metro2/dc1/dc/dc|0" + "metro2/pop2/G1/G1_r1|metro2/dc1/dc/dc|0", + "metro1/pop1/G4/G4_r2|metro1/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -20526,10 +20526,10 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro1/pop2/G1/G1_r3|metro1/pop2/G4/G4_r1|0", "metro1/pop2/G3/G3_r2|metro1/pop2/G3/G3_r3|0", "metro5/pop1/G2/G2_r1|metro5/pop1/G2/G2_r2|0", - "metro5/pop1/G2/G2_r1|metro5/pop1/G3/G3_r3|0" + "metro5/pop1/G2/G2_r1|metro5/pop1/G3/G3_r3|0", + "metro1/pop2/G1/G1_r3|metro1/pop2/G4/G4_r1|0" ] }, "failure_trace": null, @@ -20640,8 +20640,8 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro5/pop1/G6/G6_r2|metro5/dc1/dc/dc|0", "metro1/pop1/G3/G3_r3|metro1/dc1/dc/dc|0", + "metro5/pop1/G6/G6_r2|metro5/dc1/dc/dc|0", "metro2/pop1/G6/G6_r2|metro2/dc1/dc/dc|0" ] }, @@ -20761,9 +20761,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ + "metro5/pop1/G5/G5_r2|metro5/dc1/dc/dc|0", "metro1/pop2/G6/G6_r2|metro1/dc1/dc/dc|0", - "metro5/pop1/G7/G7_r3|metro5/dc1/dc/dc|0", - "metro5/pop1/G5/G5_r2|metro5/dc1/dc/dc|0" + "metro5/pop1/G7/G7_r3|metro5/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -20995,9 +20995,9 @@ "excluded_nodes": [], "excluded_links": [ "metro2/pop2/G1/G1_r2|metro2/pop2/G6/G6_r2|0", + "metro5/pop2/G1/G1_r3|metro5/pop2/G7/G7_r1|0", "metro1/pop1/G2/G2_r2|metro1/pop1/G7/G7_r2|0", - "metro1/pop2/G3/G3_r1|metro1/pop2/G4/G4_r3|0", - "metro5/pop2/G1/G1_r3|metro5/pop2/G7/G7_r1|0" + "metro1/pop2/G3/G3_r1|metro1/pop2/G4/G4_r3|0" ] }, "failure_trace": null, @@ -21108,9 +21108,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro1/pop1/G7/G7_r3|metro1/dc1/dc/dc|0", + "metro2/pop1/G4/G4_r3|metro2/dc1/dc/dc|0", "metro1/pop2/G5/G5_r3|metro1/dc1/dc/dc|0", - "metro2/pop1/G4/G4_r3|metro2/dc1/dc/dc|0" + "metro1/pop1/G7/G7_r3|metro1/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -21231,9 +21231,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ + "metro1/pop2/G2/G2_r1|metro1/dc1/dc/dc|0", "metro5/pop2/G3/G3_r1|metro5/dc1/dc/dc|0", - "metro1/pop2/G6/G6_r1|metro1/dc1/dc/dc|0", - "metro1/pop2/G2/G2_r1|metro1/dc1/dc/dc|0" + "metro1/pop2/G6/G6_r1|metro1/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -21695,10 +21695,10 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro2/pop1/G3/G3_r1|metro2/pop1/G4/G4_r3|0", - "metro5/pop1/G2/G2_r1|metro5/pop1/G6/G6_r3|0", "metro2/pop2/G7/G7_r1|metro2/pop2/G7/G7_r3|0", - "metro5/pop2/G2/G2_r1|metro5/pop2/G3/G3_r3|0" + "metro5/pop2/G2/G2_r1|metro5/pop2/G3/G3_r3|0", + "metro2/pop1/G3/G3_r1|metro2/pop1/G4/G4_r3|0", + "metro5/pop1/G2/G2_r1|metro5/pop1/G6/G6_r3|0" ] }, "failure_trace": null, @@ -21809,9 +21809,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ + "metro2/pop1/G2/G2_r3|metro2/dc1/dc/dc|0", "metro1/pop2/G5/G5_r3|metro1/dc1/dc/dc|0", - "metro5/pop1/G1/G1_r1|metro5/dc1/dc/dc|0", - "metro2/pop1/G2/G2_r3|metro2/dc1/dc/dc|0" + "metro5/pop1/G1/G1_r1|metro5/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -21932,8 +21932,8 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro2/pop1/G4/G4_r1|metro2/dc1/dc/dc|0", "metro2/pop1/G6/G6_r1|metro2/dc1/dc/dc|0", + "metro2/pop1/G4/G4_r1|metro2/dc1/dc/dc|0", "metro2/pop1/G4/G4_r2|metro2/dc1/dc/dc|0" ] }, @@ -22052,8 +22052,8 @@ "excluded_nodes": [], "excluded_links": [ "metro1/pop2/G6/G6_r2|metro1/dc1/dc/dc|0", - "metro2/pop2/G7/G7_r3|metro2/dc1/dc/dc|0", - "metro5/pop1/G2/G2_r3|metro5/dc1/dc/dc|0" + "metro5/pop1/G2/G2_r3|metro5/dc1/dc/dc|0", + "metro2/pop2/G7/G7_r3|metro2/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -22175,10 +22175,10 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ + "metro2/pop1/G5/G5_r1|metro2/pop1/G5/G5_r2|0", "metro1/pop2/G4/G4_r1|metro1/pop2/G5/G5_r3|0", - "metro5/pop2/G3/G3_r1|metro5/pop2/G3/G3_r2|0", "metro2/pop2/G4/G4_r2|metro2/pop2/G4/G4_r3|0", - "metro2/pop1/G5/G5_r1|metro2/pop1/G5/G5_r2|0" + "metro5/pop2/G3/G3_r1|metro5/pop2/G3/G3_r2|0" ] }, "failure_trace": null, @@ -22289,8 +22289,8 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro1/pop2/G3/G3_r2|metro1/dc1/dc/dc|0", "metro2/pop1/G6/G6_r2|metro2/dc1/dc/dc|0", + "metro1/pop2/G3/G3_r2|metro1/dc1/dc/dc|0", "metro2/pop1/G2/G2_r3|metro2/dc1/dc/dc|0" ] }, @@ -22524,8 +22524,8 @@ "excluded_nodes": [], "excluded_links": [ "metro1/pop2/G2/G2_r2|metro1/dc1/dc/dc|0", - "metro5/pop1/G4/G4_r3|metro5/dc1/dc/dc|0", - "metro2/pop2/G3/G3_r3|metro2/dc1/dc/dc|0" + "metro2/pop2/G3/G3_r3|metro2/dc1/dc/dc|0", + "metro5/pop1/G4/G4_r3|metro5/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -22646,9 +22646,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ + "metro5/pop2/G7/G7_r2|metro5/dc1/dc/dc|0", "metro5/pop1/G3/G3_r2|metro5/dc1/dc/dc|0", - "metro1/pop1/G4/G4_r1|metro1/dc1/dc/dc|0", - "metro5/pop2/G7/G7_r2|metro5/dc1/dc/dc|0" + "metro1/pop1/G4/G4_r1|metro1/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -22767,10 +22767,10 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro2/pop1/G1/G1_r2|metro2/pop1/G3/G3_r2|0", + "metro1/pop1/G7/G7_r2|metro1/pop1/G7/G7_r3|0", "metro1/pop1/G2/G2_r1|metro1/pop1/G2/G2_r2|0", - "metro2/pop1/G6/G6_r2|metro2/pop1/G6/G6_r3|0", - "metro1/pop1/G7/G7_r2|metro1/pop1/G7/G7_r3|0" + "metro2/pop1/G1/G1_r2|metro2/pop1/G3/G3_r2|0", + "metro2/pop1/G6/G6_r2|metro2/pop1/G6/G6_r3|0" ] }, "failure_trace": null, @@ -22881,10 +22881,10 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro5/pop2/G2/G2_r3|metro5/pop2/G5/G5_r1|0", + "metro1/pop2/G2/G2_r3|metro1/pop2/G5/G5_r1|0", "metro5/pop2/G6/G6_r2|metro5/pop2/G6/G6_r3|0", "metro5/pop1/G6/G6_r1|metro5/pop1/G7/G7_r3|0", - "metro1/pop2/G2/G2_r3|metro1/pop2/G5/G5_r1|0" + "metro5/pop2/G2/G2_r3|metro5/pop2/G5/G5_r1|0" ] }, "failure_trace": null, @@ -23111,8 +23111,8 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro5/pop2/G6/G6_r3|metro5/dc1/dc/dc|0", "metro5/pop1/G4/G4_r2|metro5/dc1/dc/dc|0", + "metro5/pop2/G6/G6_r3|metro5/dc1/dc/dc|0", "metro5/pop2/G2/G2_r1|metro5/dc1/dc/dc|0" ] }, @@ -23230,9 +23230,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro1/pop1/G6/G6_r1|metro1/dc1/dc/dc|0", "metro5/pop2/G7/G7_r1|metro5/dc1/dc/dc|0", - "metro1/pop2/G1/G1_r3|metro1/dc1/dc/dc|0" + "metro1/pop2/G1/G1_r3|metro1/dc1/dc/dc|0", + "metro1/pop1/G6/G6_r1|metro1/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -23349,9 +23349,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro2/pop1/G6/G6_r3|metro2/dc1/dc/dc|0", + "metro5/pop2/G5/G5_r2|metro5/dc1/dc/dc|0", "metro1/pop1/G1/G1_r3|metro1/dc1/dc/dc|0", - "metro5/pop2/G5/G5_r2|metro5/dc1/dc/dc|0" + "metro2/pop1/G6/G6_r3|metro2/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -23586,8 +23586,8 @@ "excluded_nodes": [], "excluded_links": [ "metro1/pop2/G2/G2_r2|metro1/dc1/dc/dc|0", - "metro5/pop1/G2/G2_r2|metro5/dc1/dc/dc|0", - "metro5/pop1/G2/G2_r1|metro5/dc1/dc/dc|0" + "metro5/pop1/G2/G2_r1|metro5/dc1/dc/dc|0", + "metro5/pop1/G2/G2_r2|metro5/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -23702,9 +23702,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ + "metro2/pop1/G5/G5_r3|metro2/dc1/dc/dc|0", "metro5/pop2/G3/G3_r2|metro5/dc1/dc/dc|0", - "metro5/pop1/G1/G1_r2|metro5/dc1/dc/dc|0", - "metro2/pop1/G5/G5_r3|metro2/dc1/dc/dc|0" + "metro5/pop1/G1/G1_r2|metro5/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -24057,9 +24057,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ + "metro2/pop2/G1/G1_r1|metro2/dc1/dc/dc|0", "metro2/pop1/G4/G4_r1|metro2/dc1/dc/dc|0", - "metro5/pop1/G2/G2_r1|metro5/dc1/dc/dc|0", - "metro2/pop2/G1/G1_r1|metro2/dc1/dc/dc|0" + "metro5/pop1/G2/G2_r1|metro5/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -24182,10 +24182,10 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro2/pop1/G1/G1_r2|metro2/pop1/G6/G6_r2|0", "metro1/pop2/G5/G5_r1|metro1/pop2/G5/G5_r3|0", - "metro5/pop2/G4/G4_r2|metro5/pop2/G6/G6_r2|0", - "metro2/pop1/G4/G4_r1|metro2/pop1/G4/G4_r3|0" + "metro2/pop1/G1/G1_r2|metro2/pop1/G6/G6_r2|0", + "metro2/pop1/G4/G4_r1|metro2/pop1/G4/G4_r3|0", + "metro5/pop2/G4/G4_r2|metro5/pop2/G6/G6_r2|0" ] }, "failure_trace": null, @@ -24297,8 +24297,8 @@ "excluded_nodes": [], "excluded_links": [ "metro5/pop2/G5/G5_r1|metro5/dc1/dc/dc|0", - "metro5/pop2/G3/G3_r2|metro5/dc1/dc/dc|0", - "metro1/pop2/G3/G3_r1|metro1/dc1/dc/dc|0" + "metro1/pop2/G3/G3_r1|metro1/dc1/dc/dc|0", + "metro5/pop2/G3/G3_r2|metro5/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -24528,8 +24528,8 @@ "excluded_nodes": [], "excluded_links": [ "metro1/pop1/G7/G7_r1|metro1/dc1/dc/dc|0", - "metro5/pop1/G1/G1_r3|metro5/dc1/dc/dc|0", - "metro5/pop2/G7/G7_r2|metro5/dc1/dc/dc|0" + "metro5/pop2/G7/G7_r2|metro5/dc1/dc/dc|0", + "metro5/pop1/G1/G1_r3|metro5/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -24770,8 +24770,8 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro5/pop2/G6/G6_r3|metro5/dc1/dc/dc|0", "metro5/pop1/G1/G1_r3|metro5/dc1/dc/dc|0", + "metro5/pop2/G6/G6_r3|metro5/dc1/dc/dc|0", "metro5/pop1/G2/G2_r3|metro5/dc1/dc/dc|0" ] }, @@ -24889,9 +24889,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ + "metro2/pop1/G5/G5_r3|metro2/dc1/dc/dc|0", "metro1/pop1/G4/G4_r1|metro1/dc1/dc/dc|0", - "metro5/pop1/G3/G3_r3|metro5/dc1/dc/dc|0", - "metro2/pop1/G5/G5_r3|metro2/dc1/dc/dc|0" + "metro5/pop1/G3/G3_r3|metro5/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -25127,10 +25127,10 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro5/pop2/G7/G7_r1|metro5/pop2/G7/G7_r2|0", - "metro2/pop1/G4/G4_r2|metro2/pop1/G6/G6_r2|0", "metro2/pop2/G1/G1_r2|metro2/pop2/G6/G6_r2|0", - "metro2/pop2/G4/G4_r2|metro2/pop2/G6/G6_r2|0" + "metro5/pop2/G7/G7_r1|metro5/pop2/G7/G7_r2|0", + "metro2/pop2/G4/G4_r2|metro2/pop2/G6/G6_r2|0", + "metro2/pop1/G4/G4_r2|metro2/pop1/G6/G6_r2|0" ] }, "failure_trace": null, @@ -25241,9 +25241,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro1/pop1/G7/G7_r1|metro1/dc1/dc/dc|0", + "metro2/pop1/G2/G2_r3|metro2/dc1/dc/dc|0", "metro1/pop1/G5/G5_r1|metro1/dc1/dc/dc|0", - "metro2/pop1/G2/G2_r3|metro2/dc1/dc/dc|0" + "metro1/pop1/G7/G7_r1|metro1/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -25364,8 +25364,8 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro2/pop1/G6/G6_r3|metro2/dc1/dc/dc|0", "metro5/pop1/G6/G6_r1|metro5/dc1/dc/dc|0", + "metro2/pop1/G6/G6_r3|metro2/dc1/dc/dc|0", "metro5/pop2/G3/G3_r3|metro5/dc1/dc/dc|0" ] }, @@ -25487,9 +25487,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ + "metro2/pop2/G2/G2_r3|metro2/dc1/dc/dc|0", "metro2/pop1/G5/G5_r3|metro2/dc1/dc/dc|0", - "metro2/pop1/G1/G1_r3|metro2/dc1/dc/dc|0", - "metro2/pop2/G2/G2_r3|metro2/dc1/dc/dc|0" + "metro2/pop1/G1/G1_r3|metro2/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -25839,9 +25839,9 @@ "excluded_nodes": [], "excluded_links": [ "metro5/pop2/G3/G3_r1|metro5/pop2/G4/G4_r3|0", - "metro2/pop1/G1/G1_r1|metro2/pop1/G1/G1_r2|0", + "metro5/pop2/G1/G1_r1|metro5/pop2/G5/G5_r3|0", "metro5/pop1/G6/G6_r1|metro5/pop1/G6/G6_r3|0", - "metro5/pop2/G1/G1_r1|metro5/pop2/G5/G5_r3|0" + "metro2/pop1/G1/G1_r1|metro2/pop1/G1/G1_r2|0" ] }, "failure_trace": null, @@ -26181,9 +26181,9 @@ "excluded_nodes": [], "excluded_links": [ "metro2/pop2/G1/G1_r2|metro2/pop2/G6/G6_r2|0", + "metro5/pop2/G1/G1_r2|metro5/pop2/G3/G3_r2|0", "metro2/pop1/G1/G1_r1|metro2/pop1/G1/G1_r2|0", - "metro5/pop2/G2/G2_r1|metro5/pop2/G2/G2_r3|0", - "metro5/pop2/G1/G1_r2|metro5/pop2/G3/G3_r2|0" + "metro5/pop2/G2/G2_r1|metro5/pop2/G2/G2_r3|0" ] }, "failure_trace": null, @@ -26407,9 +26407,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro1/pop1/G7/G7_r3|metro1/dc1/dc/dc|0", "metro1/pop1/G1/G1_r2|metro1/dc1/dc/dc|0", - "metro1/pop1/G2/G2_r2|metro1/dc1/dc/dc|0" + "metro1/pop1/G2/G2_r2|metro1/dc1/dc/dc|0", + "metro1/pop1/G7/G7_r3|metro1/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -26525,9 +26525,9 @@ "excluded_nodes": [], "excluded_links": [ "metro1/pop2/G1/G1_r1|metro1/pop2/G1/G1_r3|0", + "metro2/pop2/G1/G1_r3|metro2/pop2/G7/G7_r1|0", "metro1/pop1/G2/G2_r2|metro1/pop1/G4/G4_r2|0", - "metro5/pop2/G1/G1_r3|metro5/pop2/G7/G7_r1|0", - "metro2/pop2/G1/G1_r3|metro2/pop2/G7/G7_r1|0" + "metro5/pop2/G1/G1_r3|metro5/pop2/G7/G7_r1|0" ] }, "failure_trace": null, @@ -26862,8 +26862,8 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro1/pop2/G5/G5_r3|metro1/dc1/dc/dc|0", "metro5/pop1/G3/G3_r1|metro5/dc1/dc/dc|0", + "metro1/pop2/G5/G5_r3|metro1/dc1/dc/dc|0", "metro5/pop2/G3/G3_r1|metro5/dc1/dc/dc|0" ] }, @@ -26985,9 +26985,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro2/pop2/G7/G7_r3|metro2/dc1/dc/dc|0", + "metro1/pop2/G5/G5_r2|metro1/dc1/dc/dc|0", "metro5/pop2/G7/G7_r3|metro5/dc1/dc/dc|0", - "metro1/pop2/G5/G5_r2|metro1/dc1/dc/dc|0" + "metro2/pop2/G7/G7_r3|metro2/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -27231,8 +27231,8 @@ "excluded_nodes": [], "excluded_links": [ "metro5/pop1/G3/G3_r2|metro5/dc1/dc/dc|0", - "metro2/pop2/G3/G3_r3|metro2/dc1/dc/dc|0", - "metro5/pop2/G7/G7_r1|metro5/dc1/dc/dc|0" + "metro5/pop2/G7/G7_r1|metro5/dc1/dc/dc|0", + "metro2/pop2/G3/G3_r3|metro2/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -27353,10 +27353,10 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro5/pop1/G7/G7_r1|metro5/pop1/G7/G7_r3|0", - "metro1/pop2/G4/G4_r1|metro1/pop2/G5/G5_r3|0", "metro5/pop2/G5/G5_r2|metro5/pop2/G7/G7_r2|0", - "metro1/pop1/G4/G4_r1|metro1/pop1/G4/G4_r2|0" + "metro1/pop1/G4/G4_r1|metro1/pop1/G4/G4_r2|0", + "metro1/pop2/G4/G4_r1|metro1/pop2/G5/G5_r3|0", + "metro5/pop1/G7/G7_r1|metro5/pop1/G7/G7_r3|0" ] }, "failure_trace": null, @@ -27468,8 +27468,8 @@ "excluded_nodes": [], "excluded_links": [ "metro1/pop2/G6/G6_r2|metro1/dc1/dc/dc|0", - "metro5/pop1/G3/G3_r3|metro5/dc1/dc/dc|0", - "metro1/pop2/G2/G2_r1|metro1/dc1/dc/dc|0" + "metro1/pop2/G2/G2_r1|metro1/dc1/dc/dc|0", + "metro5/pop1/G3/G3_r3|metro5/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -27701,9 +27701,9 @@ "excluded_nodes": [], "excluded_links": [ "metro5/pop2/G3/G3_r1|metro5/pop2/G4/G4_r3|0", + "metro5/pop1/G1/G1_r3|metro5/pop1/G4/G4_r1|0", "metro2/pop1/G4/G4_r1|metro2/pop1/G4/G4_r2|0", - "metro1/pop1/G4/G4_r2|metro1/pop1/G4/G4_r3|0", - "metro5/pop1/G1/G1_r3|metro5/pop1/G4/G4_r1|0" + "metro1/pop1/G4/G4_r2|metro1/pop1/G4/G4_r3|0" ] }, "failure_trace": null, @@ -27814,9 +27814,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro5/pop2/G4/G4_r2|metro5/dc1/dc/dc|0", "metro2/pop1/G6/G6_r2|metro2/dc1/dc/dc|0", - "metro1/pop1/G5/G5_r2|metro1/dc1/dc/dc|0" + "metro1/pop1/G5/G5_r2|metro1/dc1/dc/dc|0", + "metro5/pop2/G4/G4_r2|metro5/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -27937,8 +27937,8 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro1/pop2/G7/G7_r1|metro1/dc1/dc/dc|0", "metro1/pop1/G5/G5_r1|metro1/dc1/dc/dc|0", + "metro1/pop2/G7/G7_r1|metro1/dc1/dc/dc|0", "metro5/pop1/G2/G2_r3|metro5/dc1/dc/dc|0" ] }, @@ -28179,9 +28179,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ + "metro2/pop1/G1/G1_r1|metro2/dc1/dc/dc|0", "metro5/pop1/G3/G3_r2|metro5/dc1/dc/dc|0", - "metro1/pop1/G3/G3_r1|metro1/dc1/dc/dc|0", - "metro2/pop1/G1/G1_r1|metro2/dc1/dc/dc|0" + "metro1/pop1/G3/G3_r1|metro1/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -28300,9 +28300,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro2/pop2/G1/G1_r1|metro2/pop2/G1/G1_r2|0", - "metro2/pop1/G4/G4_r1|metro2/pop1/G4/G4_r2|0", "metro5/pop1/G3/G3_r3|metro5/pop1/G6/G6_r1|0", + "metro2/pop1/G4/G4_r1|metro2/pop1/G4/G4_r2|0", + "metro2/pop2/G1/G1_r1|metro2/pop2/G1/G1_r2|0", "metro5/pop2/G4/G4_r3|metro5/pop2/G7/G7_r1|0" ] }, @@ -28414,9 +28414,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro5/pop2/G3/G3_r3|metro5/dc1/dc/dc|0", + "metro2/pop1/G6/G6_r2|metro2/dc1/dc/dc|0", "metro2/pop2/G7/G7_r2|metro2/dc1/dc/dc|0", - "metro2/pop1/G6/G6_r2|metro2/dc1/dc/dc|0" + "metro5/pop2/G3/G3_r3|metro5/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -28652,8 +28652,8 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro5/pop1/G7/G7_r2|metro5/dc1/dc/dc|0", "metro2/pop2/G7/G7_r2|metro2/dc1/dc/dc|0", + "metro5/pop1/G7/G7_r2|metro5/dc1/dc/dc|0", "metro2/pop1/G3/G3_r3|metro2/dc1/dc/dc|0" ] }, @@ -28777,9 +28777,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ + "metro1/pop1/G6/G6_r2|metro1/dc1/dc/dc|0", "metro1/pop2/G3/G3_r2|metro1/dc1/dc/dc|0", - "metro1/pop2/G2/G2_r1|metro1/dc1/dc/dc|0", - "metro1/pop1/G6/G6_r2|metro1/dc1/dc/dc|0" + "metro1/pop2/G2/G2_r1|metro1/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -29246,9 +29246,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro5/pop2/G3/G3_r1|metro5/dc1/dc/dc|0", "metro1/pop2/G2/G2_r1|metro1/dc1/dc/dc|0", - "metro5/pop2/G2/G2_r1|metro5/dc1/dc/dc|0" + "metro5/pop2/G2/G2_r1|metro5/dc1/dc/dc|0", + "metro5/pop2/G3/G3_r1|metro5/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -29599,8 +29599,8 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro5/pop1/G4/G4_r1|metro5/dc1/dc/dc|0", "metro5/pop2/G3/G3_r2|metro5/dc1/dc/dc|0", + "metro5/pop1/G4/G4_r1|metro5/dc1/dc/dc|0", "metro5/pop2/G1/G1_r2|metro5/dc1/dc/dc|0" ] }, @@ -29954,9 +29954,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ + "metro5/pop1/G5/G5_r1|metro5/dc1/dc/dc|0", "metro5/pop1/G5/G5_r3|metro5/dc1/dc/dc|0", - "metro1/pop1/G4/G4_r2|metro1/dc1/dc/dc|0", - "metro5/pop1/G5/G5_r1|metro5/dc1/dc/dc|0" + "metro1/pop1/G4/G4_r2|metro1/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -30199,8 +30199,8 @@ "excluded_nodes": [], "excluded_links": [ "metro2/pop2/G2/G2_r3|metro2/dc1/dc/dc|0", - "metro1/pop1/G4/G4_r2|metro1/dc1/dc/dc|0", - "metro2/pop2/G3/G3_r2|metro2/dc1/dc/dc|0" + "metro2/pop2/G3/G3_r2|metro2/dc1/dc/dc|0", + "metro1/pop1/G4/G4_r2|metro1/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -30321,10 +30321,10 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro5/pop1/G4/G4_r1|metro5/pop1/G4/G4_r2|0", + "metro2/pop2/G4/G4_r2|metro2/pop2/G6/G6_r2|0", "metro2/pop2/G6/G6_r2|metro2/pop2/G6/G6_r3|0", "metro1/pop1/G3/G3_r2|metro1/pop1/G5/G5_r2|0", - "metro2/pop2/G4/G4_r2|metro2/pop2/G6/G6_r2|0" + "metro5/pop1/G4/G4_r1|metro5/pop1/G4/G4_r2|0" ] }, "failure_trace": null, @@ -30793,10 +30793,10 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro2/pop1/G6/G6_r1|metro2/pop1/G6/G6_r2|0", "metro5/pop2/G4/G4_r1|metro5/pop2/G4/G4_r2|0", + "metro5/pop2/G1/G1_r3|metro5/pop2/G7/G7_r1|0", "metro2/pop2/G1/G1_r2|metro2/pop2/G1/G1_r3|0", - "metro5/pop2/G1/G1_r3|metro5/pop2/G7/G7_r1|0" + "metro2/pop1/G6/G6_r1|metro2/pop1/G6/G6_r2|0" ] }, "failure_trace": null, @@ -30907,9 +30907,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro5/pop1/G6/G6_r3|metro5/dc1/dc/dc|0", + "metro2/pop1/G2/G2_r3|metro2/dc1/dc/dc|0", "metro5/pop1/G5/G5_r3|metro5/dc1/dc/dc|0", - "metro2/pop1/G2/G2_r3|metro2/dc1/dc/dc|0" + "metro5/pop1/G6/G6_r3|metro5/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -31026,9 +31026,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ + "metro2/pop1/G3/G3_r3|metro2/dc1/dc/dc|0", "metro5/pop2/G3/G3_r3|metro5/dc1/dc/dc|0", - "metro2/pop2/G5/G5_r3|metro2/dc1/dc/dc|0", - "metro2/pop1/G3/G3_r3|metro2/dc1/dc/dc|0" + "metro2/pop2/G5/G5_r3|metro2/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -31148,8 +31148,8 @@ "excluded_nodes": [], "excluded_links": [ "metro5/pop1/G6/G6_r2|metro5/dc1/dc/dc|0", - "metro1/pop1/G1/G1_r2|metro1/dc1/dc/dc|0", - "metro1/pop1/G3/G3_r2|metro1/dc1/dc/dc|0" + "metro1/pop1/G3/G3_r2|metro1/dc1/dc/dc|0", + "metro1/pop1/G1/G1_r2|metro1/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -31266,8 +31266,8 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro1/pop2/G6/G6_r2|metro1/dc1/dc/dc|0", "metro5/pop1/G4/G4_r1|metro5/dc1/dc/dc|0", + "metro1/pop2/G6/G6_r2|metro1/dc1/dc/dc|0", "metro5/pop2/G2/G2_r3|metro5/dc1/dc/dc|0" ] }, @@ -31389,9 +31389,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro1/pop1/G7/G7_r2|metro1/dc1/dc/dc|0", "metro5/pop2/G2/G2_r1|metro5/dc1/dc/dc|0", - "metro2/pop1/G3/G3_r3|metro2/dc1/dc/dc|0" + "metro2/pop1/G3/G3_r3|metro2/dc1/dc/dc|0", + "metro1/pop1/G7/G7_r2|metro1/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -31738,8 +31738,8 @@ "excluded_nodes": [], "excluded_links": [ "metro2/pop1/G5/G5_r2|metro2/dc1/dc/dc|0", - "metro2/pop1/G5/G5_r3|metro2/dc1/dc/dc|0", - "metro5/pop2/G1/G1_r1|metro5/dc1/dc/dc|0" + "metro5/pop2/G1/G1_r1|metro5/dc1/dc/dc|0", + "metro2/pop1/G5/G5_r3|metro2/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -32096,9 +32096,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro1/pop1/G2/G2_r2|metro1/pop1/G2/G2_r3|0", - "metro1/pop2/G2/G2_r1|metro1/pop2/G2/G2_r3|0", "metro2/pop2/G1/G1_r2|metro2/pop2/G3/G3_r2|0", + "metro1/pop2/G2/G2_r1|metro1/pop2/G2/G2_r3|0", + "metro1/pop1/G2/G2_r2|metro1/pop1/G2/G2_r3|0", "metro2/pop2/G2/G2_r1|metro2/pop2/G2/G2_r3|0" ] }, @@ -32210,9 +32210,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro2/pop1/G3/G3_r2|metro2/dc1/dc/dc|0", + "metro1/pop2/G4/G4_r3|metro1/dc1/dc/dc|0", "metro1/pop1/G4/G4_r1|metro1/dc1/dc/dc|0", - "metro1/pop2/G4/G4_r3|metro1/dc1/dc/dc|0" + "metro2/pop1/G3/G3_r2|metro2/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -32331,9 +32331,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ + "metro5/pop1/G3/G3_r1|metro5/dc1/dc/dc|0", "metro2/pop2/G5/G5_r2|metro2/dc1/dc/dc|0", - "metro1/pop1/G2/G2_r2|metro1/dc1/dc/dc|0", - "metro5/pop1/G3/G3_r1|metro5/dc1/dc/dc|0" + "metro1/pop1/G2/G2_r2|metro1/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -32456,9 +32456,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro1/pop2/G5/G5_r3|metro1/dc1/dc/dc|0", + "metro5/pop1/G5/G5_r1|metro5/dc1/dc/dc|0", "metro2/pop1/G7/G7_r1|metro2/dc1/dc/dc|0", - "metro5/pop1/G5/G5_r1|metro5/dc1/dc/dc|0" + "metro1/pop2/G5/G5_r3|metro1/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -32817,9 +32817,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro5/pop2/G3/G3_r2|metro5/dc1/dc/dc|0", "metro1/pop1/G5/G5_r3|metro1/dc1/dc/dc|0", - "metro5/pop2/G2/G2_r1|metro5/dc1/dc/dc|0" + "metro5/pop2/G2/G2_r1|metro5/dc1/dc/dc|0", + "metro5/pop2/G3/G3_r2|metro5/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -32936,9 +32936,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro2/pop1/G6/G6_r2|metro2/pop1/G6/G6_r3|0", - "metro1/pop2/G2/G2_r1|metro1/pop2/G2/G2_r2|0", "metro5/pop2/G4/G4_r1|metro5/pop2/G4/G4_r2|0", + "metro1/pop2/G2/G2_r1|metro1/pop2/G2/G2_r2|0", + "metro2/pop1/G6/G6_r2|metro2/pop1/G6/G6_r3|0", "metro1/pop2/G2/G2_r2|metro1/pop2/G7/G7_r2|0" ] }, @@ -33050,9 +33050,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro5/pop1/G4/G4_r3|metro5/dc1/dc/dc|0", + "metro1/pop1/G3/G3_r3|metro1/dc1/dc/dc|0", "metro2/pop2/G3/G3_r3|metro2/dc1/dc/dc|0", - "metro1/pop1/G3/G3_r3|metro1/dc1/dc/dc|0" + "metro5/pop1/G4/G4_r3|metro5/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -33300,9 +33300,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ + "metro5/pop2/G1/G1_r1|metro5/dc1/dc/dc|0", "metro5/pop1/G6/G6_r1|metro5/dc1/dc/dc|0", - "metro1/pop1/G2/G2_r2|metro1/dc1/dc/dc|0", - "metro5/pop2/G1/G1_r1|metro5/dc1/dc/dc|0" + "metro1/pop1/G2/G2_r2|metro1/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -33421,9 +33421,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ + "metro1/pop1/G3/G3_r2|metro1/dc1/dc/dc|0", "metro1/pop1/G3/G3_r1|metro1/dc1/dc/dc|0", - "metro5/pop2/G2/G2_r3|metro5/dc1/dc/dc|0", - "metro1/pop1/G3/G3_r2|metro1/dc1/dc/dc|0" + "metro5/pop2/G2/G2_r3|metro5/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -33542,9 +33542,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro5/pop1/G4/G4_r1|metro5/dc1/dc/dc|0", "metro2/pop1/G2/G2_r1|metro2/dc1/dc/dc|0", - "metro5/pop1/G4/G4_r2|metro5/dc1/dc/dc|0" + "metro5/pop1/G4/G4_r2|metro5/dc1/dc/dc|0", + "metro5/pop1/G4/G4_r1|metro5/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -33775,8 +33775,8 @@ "excluded_nodes": [], "excluded_links": [ "metro2/pop2/G2/G2_r2|metro2/dc1/dc/dc|0", - "metro5/pop1/G1/G1_r3|metro5/dc1/dc/dc|0", - "metro1/pop1/G2/G2_r2|metro1/dc1/dc/dc|0" + "metro1/pop1/G2/G2_r2|metro1/dc1/dc/dc|0", + "metro5/pop1/G1/G1_r3|metro5/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -34027,8 +34027,8 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro1/pop1/G4/G4_r3|metro1/dc1/dc/dc|0", "metro1/pop1/G3/G3_r3|metro1/dc1/dc/dc|0", + "metro1/pop1/G4/G4_r3|metro1/dc1/dc/dc|0", "metro5/pop2/G3/G3_r1|metro5/dc1/dc/dc|0" ] }, @@ -34146,9 +34146,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro2/pop2/G3/G3_r2|metro2/dc1/dc/dc|0", "metro2/pop1/G6/G6_r1|metro2/dc1/dc/dc|0", - "metro5/pop2/G1/G1_r3|metro5/dc1/dc/dc|0" + "metro5/pop2/G1/G1_r3|metro5/dc1/dc/dc|0", + "metro2/pop2/G3/G3_r2|metro2/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -34271,9 +34271,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro1/pop1/G2/G2_r1|metro1/dc1/dc/dc|0", "metro5/pop1/G3/G3_r1|metro5/dc1/dc/dc|0", - "metro5/pop2/G2/G2_r1|metro5/dc1/dc/dc|0" + "metro5/pop2/G2/G2_r1|metro5/dc1/dc/dc|0", + "metro1/pop1/G2/G2_r1|metro1/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -34393,8 +34393,8 @@ "excluded_nodes": [], "excluded_links": [ "metro2/pop2/G1/G1_r2|metro2/dc1/dc/dc|0", - "metro2/pop2/G2/G2_r1|metro2/dc1/dc/dc|0", - "metro5/pop2/G7/G7_r3|metro5/dc1/dc/dc|0" + "metro5/pop2/G7/G7_r3|metro5/dc1/dc/dc|0", + "metro2/pop2/G2/G2_r1|metro2/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -34512,8 +34512,8 @@ "excluded_nodes": [], "excluded_links": [ "metro2/pop2/G2/G2_r2|metro2/dc1/dc/dc|0", - "metro5/pop1/G3/G3_r2|metro5/dc1/dc/dc|0", - "metro1/pop1/G1/G1_r1|metro1/dc1/dc/dc|0" + "metro1/pop1/G1/G1_r1|metro1/dc1/dc/dc|0", + "metro5/pop1/G3/G3_r2|metro5/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -34637,8 +34637,8 @@ "excluded_nodes": [], "excluded_links": [ "metro2/pop1/G5/G5_r3|metro2/dc1/dc/dc|0", - "metro2/pop2/G6/G6_r3|metro2/dc1/dc/dc|0", - "metro2/pop2/G3/G3_r2|metro2/dc1/dc/dc|0" + "metro2/pop2/G3/G3_r2|metro2/dc1/dc/dc|0", + "metro2/pop2/G6/G6_r3|metro2/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -34761,8 +34761,8 @@ "excluded_nodes": [], "excluded_links": [ "metro1/pop2/G2/G2_r3|metro1/dc1/dc/dc|0", - "metro1/pop1/G6/G6_r1|metro1/dc1/dc/dc|0", - "metro2/pop2/G4/G4_r1|metro2/dc1/dc/dc|0" + "metro2/pop2/G4/G4_r1|metro2/dc1/dc/dc|0", + "metro1/pop1/G6/G6_r1|metro1/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -34884,9 +34884,9 @@ "excluded_nodes": [], "excluded_links": [ "metro5/pop2/G7/G7_r1|metro5/pop2/G7/G7_r2|0", - "metro1/pop2/G2/G2_r1|metro1/pop2/G2/G2_r2|0", + "metro5/pop1/G4/G4_r1|metro5/pop1/G4/G4_r2|0", "metro1/pop1/G1/G1_r2|metro1/pop1/G1/G1_r3|0", - "metro5/pop1/G4/G4_r1|metro5/pop1/G4/G4_r2|0" + "metro1/pop2/G2/G2_r1|metro1/pop2/G2/G2_r2|0" ] }, "failure_trace": null, @@ -34998,8 +34998,8 @@ "excluded_nodes": [], "excluded_links": [ "metro2/pop1/G1/G1_r1|metro2/dc1/dc/dc|0", - "metro5/pop1/G7/G7_r1|metro5/dc1/dc/dc|0", - "metro5/pop2/G1/G1_r3|metro5/dc1/dc/dc|0" + "metro5/pop2/G1/G1_r3|metro5/dc1/dc/dc|0", + "metro5/pop1/G7/G7_r1|metro5/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -35232,8 +35232,8 @@ "excluded_nodes": [], "excluded_links": [ "metro2/pop2/G6/G6_r3|metro2/dc1/dc/dc|0", - "metro5/pop2/G3/G3_r1|metro5/dc1/dc/dc|0", - "metro2/pop2/G3/G3_r2|metro2/dc1/dc/dc|0" + "metro2/pop2/G3/G3_r2|metro2/dc1/dc/dc|0", + "metro5/pop2/G3/G3_r1|metro5/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -35589,9 +35589,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro2/pop2/G5/G5_r1|metro2/dc1/dc/dc|0", "metro1/pop2/G3/G3_r3|metro1/dc1/dc/dc|0", - "metro5/pop2/G1/G1_r3|metro5/dc1/dc/dc|0" + "metro5/pop2/G1/G1_r3|metro5/dc1/dc/dc|0", + "metro2/pop2/G5/G5_r1|metro2/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -35708,10 +35708,10 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro5/pop1/G4/G4_r2|metro5/pop1/G4/G4_r3|0", - "metro5/pop2/G1/G1_r1|metro5/pop2/G1/G1_r2|0", "metro2/pop1/G2/G2_r2|metro2/pop1/G4/G4_r2|0", - "metro2/pop1/G2/G2_r2|metro2/pop1/G2/G2_r3|0" + "metro2/pop1/G2/G2_r2|metro2/pop1/G2/G2_r3|0", + "metro5/pop1/G4/G4_r2|metro5/pop1/G4/G4_r3|0", + "metro5/pop2/G1/G1_r1|metro5/pop2/G1/G1_r2|0" ] }, "failure_trace": null, @@ -35822,9 +35822,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ + "metro5/pop2/G6/G6_r2|metro5/dc1/dc/dc|0", "metro5/pop2/G4/G4_r2|metro5/dc1/dc/dc|0", - "metro2/pop2/G6/G6_r1|metro2/dc1/dc/dc|0", - "metro5/pop2/G6/G6_r2|metro5/dc1/dc/dc|0" + "metro2/pop2/G6/G6_r1|metro2/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -35942,8 +35942,8 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro5/pop2/G3/G3_r2|metro5/dc1/dc/dc|0", "metro1/pop2/G2/G2_r3|metro1/dc1/dc/dc|0", + "metro5/pop2/G3/G3_r2|metro5/dc1/dc/dc|0", "metro1/pop1/G2/G2_r1|metro1/dc1/dc/dc|0" ] }, @@ -36061,9 +36061,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ + "metro5/pop2/G5/G5_r2|metro5/dc1/dc/dc|0", "metro1/pop1/G7/G7_r1|metro1/dc1/dc/dc|0", - "metro1/pop1/G7/G7_r2|metro1/dc1/dc/dc|0", - "metro5/pop2/G5/G5_r2|metro5/dc1/dc/dc|0" + "metro1/pop1/G7/G7_r2|metro1/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -36182,9 +36182,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro2/pop2/G7/G7_r2|metro2/pop2/G7/G7_r3|0", "metro2/pop1/G2/G2_r2|metro2/pop1/G4/G4_r2|0", "metro1/pop2/G1/G1_r1|metro1/pop2/G1/G1_r2|0", + "metro2/pop2/G7/G7_r2|metro2/pop2/G7/G7_r3|0", "metro2/pop2/G4/G4_r3|metro2/pop2/G7/G7_r1|0" ] }, @@ -36296,8 +36296,8 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro2/pop1/G6/G6_r3|metro2/dc1/dc/dc|0", "metro5/pop1/G4/G4_r2|metro5/dc1/dc/dc|0", + "metro2/pop1/G6/G6_r3|metro2/dc1/dc/dc|0", "metro5/pop1/G2/G2_r1|metro5/dc1/dc/dc|0" ] }, @@ -36417,9 +36417,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro2/pop2/G5/G5_r3|metro2/dc1/dc/dc|0", "metro1/pop1/G1/G1_r2|metro1/dc1/dc/dc|0", - "metro2/pop1/G3/G3_r3|metro2/dc1/dc/dc|0" + "metro2/pop1/G3/G3_r3|metro2/dc1/dc/dc|0", + "metro2/pop2/G5/G5_r3|metro2/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -36542,9 +36542,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro1/pop2/G7/G7_r3|metro1/dc1/dc/dc|0", + "metro1/pop1/G5/G5_r2|metro1/dc1/dc/dc|0", "metro2/pop1/G5/G5_r1|metro2/dc1/dc/dc|0", - "metro1/pop1/G5/G5_r2|metro1/dc1/dc/dc|0" + "metro1/pop2/G7/G7_r3|metro1/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -36663,9 +36663,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ + "metro1/pop2/G3/G3_r3|metro1/dc1/dc/dc|0", "metro2/pop2/G1/G1_r2|metro2/dc1/dc/dc|0", - "metro5/pop1/G7/G7_r2|metro5/dc1/dc/dc|0", - "metro1/pop2/G3/G3_r3|metro1/dc1/dc/dc|0" + "metro5/pop1/G7/G7_r2|metro5/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -36900,8 +36900,8 @@ "excluded_nodes": [], "excluded_links": [ "metro1/pop1/G1/G1_r1|metro1/dc1/dc/dc|0", - "metro5/pop2/G6/G6_r3|metro5/dc1/dc/dc|0", - "metro5/pop2/G6/G6_r1|metro5/dc1/dc/dc|0" + "metro5/pop2/G6/G6_r1|metro5/dc1/dc/dc|0", + "metro5/pop2/G6/G6_r3|metro5/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -37018,10 +37018,10 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro5/pop1/G5/G5_r1|metro5/pop1/G5/G5_r2|0", "metro2/pop2/G1/G1_r2|metro2/pop2/G6/G6_r2|0", - "metro5/pop2/G1/G1_r1|metro5/pop2/G2/G2_r3|0", - "metro2/pop1/G5/G5_r1|metro2/pop1/G5/G5_r2|0" + "metro5/pop1/G5/G5_r1|metro5/pop1/G5/G5_r2|0", + "metro2/pop1/G5/G5_r1|metro2/pop1/G5/G5_r2|0", + "metro5/pop2/G1/G1_r1|metro5/pop2/G2/G2_r3|0" ] }, "failure_trace": null, @@ -37132,8 +37132,8 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro2/pop1/G3/G3_r1|metro2/pop1/G3/G3_r3|0", "metro5/pop1/G1/G1_r1|metro5/pop1/G5/G5_r3|0", + "metro2/pop1/G3/G3_r1|metro2/pop1/G3/G3_r3|0", "metro2/pop1/G4/G4_r1|metro2/pop1/G5/G5_r3|0", "metro1/pop2/G2/G2_r2|metro1/pop2/G7/G7_r2|0" ] @@ -37359,8 +37359,8 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro5/pop1/G2/G2_r2|metro5/dc1/dc/dc|0", "metro5/pop2/G7/G7_r2|metro5/dc1/dc/dc|0", + "metro5/pop1/G2/G2_r2|metro5/dc1/dc/dc|0", "metro5/pop2/G5/G5_r3|metro5/dc1/dc/dc|0" ] }, @@ -37479,8 +37479,8 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro2/pop1/G2/G2_r2|metro2/dc1/dc/dc|0", "metro2/pop2/G7/G7_r2|metro2/dc1/dc/dc|0", + "metro2/pop1/G2/G2_r2|metro2/dc1/dc/dc|0", "metro5/pop2/G5/G5_r3|metro5/dc1/dc/dc|0" ] }, @@ -37601,9 +37601,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ + "metro2/pop2/G2/G2_r3|metro2/dc1/dc/dc|0", "metro1/pop1/G6/G6_r2|metro1/dc1/dc/dc|0", - "metro2/pop2/G6/G6_r2|metro2/dc1/dc/dc|0", - "metro2/pop2/G2/G2_r3|metro2/dc1/dc/dc|0" + "metro2/pop2/G6/G6_r2|metro2/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -37725,9 +37725,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro2/pop2/G4/G4_r3|metro2/dc1/dc/dc|0", + "metro5/pop2/G1/G1_r3|metro5/dc1/dc/dc|0", "metro1/pop1/G3/G3_r2|metro1/dc1/dc/dc|0", - "metro5/pop2/G1/G1_r3|metro5/dc1/dc/dc|0" + "metro2/pop2/G4/G4_r3|metro2/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -37848,10 +37848,10 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro5/pop2/G3/G3_r2|metro5/pop2/G5/G5_r2|0", - "metro2/pop1/G6/G6_r1|metro2/pop1/G7/G7_r3|0", + "metro5/pop2/G4/G4_r1|metro5/pop2/G5/G5_r3|0", "metro2/pop2/G2/G2_r2|metro2/pop2/G7/G7_r2|0", - "metro5/pop2/G4/G4_r1|metro5/pop2/G5/G5_r3|0" + "metro2/pop1/G6/G6_r1|metro2/pop1/G7/G7_r3|0", + "metro5/pop2/G3/G3_r2|metro5/pop2/G5/G5_r2|0" ] }, "failure_trace": null, @@ -38318,8 +38318,8 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro2/pop1/G4/G4_r2|metro2/dc1/dc/dc|0", "metro5/pop2/G4/G4_r1|metro5/dc1/dc/dc|0", + "metro2/pop1/G4/G4_r2|metro2/dc1/dc/dc|0", "metro2/pop2/G4/G4_r2|metro2/dc1/dc/dc|0" ] }, @@ -38439,9 +38439,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ + "metro5/pop2/G4/G4_r1|metro5/dc1/dc/dc|0", "metro2/pop1/G5/G5_r3|metro2/dc1/dc/dc|0", - "metro1/pop1/G4/G4_r2|metro1/dc1/dc/dc|0", - "metro5/pop2/G4/G4_r1|metro5/dc1/dc/dc|0" + "metro1/pop1/G4/G4_r2|metro1/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -38786,8 +38786,8 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro1/pop1/G6/G6_r3|metro1/dc1/dc/dc|0", "metro2/pop1/G7/G7_r2|metro2/dc1/dc/dc|0", + "metro1/pop1/G6/G6_r3|metro1/dc1/dc/dc|0", "metro5/pop1/G7/G7_r3|metro5/dc1/dc/dc|0" ] }, @@ -38907,9 +38907,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro5/pop1/G2/G2_r2|metro5/dc1/dc/dc|0", "metro2/pop2/G7/G7_r2|metro2/dc1/dc/dc|0", - "metro2/pop1/G2/G2_r2|metro2/dc1/dc/dc|0" + "metro2/pop1/G2/G2_r2|metro2/dc1/dc/dc|0", + "metro5/pop1/G2/G2_r2|metro5/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -39034,9 +39034,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ + "metro2/pop1/G2/G2_r3|metro2/dc1/dc/dc|0", "metro1/pop2/G2/G2_r3|metro1/dc1/dc/dc|0", - "metro2/pop1/G7/G7_r3|metro2/dc1/dc/dc|0", - "metro2/pop1/G2/G2_r3|metro2/dc1/dc/dc|0" + "metro2/pop1/G7/G7_r3|metro2/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -39153,9 +39153,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ + "metro5/pop1/G5/G5_r1|metro5/dc1/dc/dc|0", "metro2/pop1/G5/G5_r2|metro2/dc1/dc/dc|0", - "metro2/pop1/G6/G6_r2|metro2/dc1/dc/dc|0", - "metro5/pop1/G5/G5_r1|metro5/dc1/dc/dc|0" + "metro2/pop1/G6/G6_r2|metro2/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -39387,8 +39387,8 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro1/pop1/G2/G2_r3|metro1/dc1/dc/dc|0", "metro2/pop1/G5/G5_r2|metro2/dc1/dc/dc|0", + "metro1/pop1/G2/G2_r3|metro1/dc1/dc/dc|0", "metro5/pop2/G3/G3_r3|metro5/dc1/dc/dc|0" ] }, @@ -39753,9 +39753,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro1/pop2/G1/G1_r2|metro1/dc1/dc/dc|0", + "metro5/pop1/G3/G3_r1|metro5/dc1/dc/dc|0", "metro2/pop2/G4/G4_r1|metro2/dc1/dc/dc|0", - "metro5/pop1/G3/G3_r1|metro5/dc1/dc/dc|0" + "metro1/pop2/G1/G1_r2|metro1/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -39876,9 +39876,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ + "metro1/pop1/G4/G4_r3|metro1/dc1/dc/dc|0", "metro2/pop2/G5/G5_r2|metro2/dc1/dc/dc|0", - "metro1/pop2/G6/G6_r1|metro1/dc1/dc/dc|0", - "metro1/pop1/G4/G4_r3|metro1/dc1/dc/dc|0" + "metro1/pop2/G6/G6_r1|metro1/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -39999,8 +39999,8 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro2/pop1/G5/G5_r2|metro2/pop1/G7/G7_r2|0", "metro2/pop1/G2/G2_r2|metro2/pop1/G4/G4_r2|0", + "metro2/pop1/G5/G5_r2|metro2/pop1/G7/G7_r2|0", "metro1/pop2/G1/G1_r1|metro1/pop2/G5/G5_r3|0", "metro1/pop1/G3/G3_r2|metro1/pop1/G3/G3_r3|0" ] @@ -40113,9 +40113,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ + "metro2/pop1/G5/G5_r1|metro2/pop1/G5/G5_r3|0", "metro1/pop2/G2/G2_r2|metro1/pop2/G4/G4_r2|0", "metro5/pop2/G7/G7_r2|metro5/pop2/G7/G7_r3|0", - "metro2/pop1/G5/G5_r1|metro2/pop1/G5/G5_r3|0", "metro1/pop1/G6/G6_r1|metro1/pop1/G6/G6_r2|0" ] }, @@ -40227,9 +40227,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro5/pop1/G2/G2_r2|metro5/dc1/dc/dc|0", + "metro5/pop1/G5/G5_r3|metro5/dc1/dc/dc|0", "metro5/pop2/G7/G7_r1|metro5/dc1/dc/dc|0", - "metro5/pop1/G5/G5_r3|metro5/dc1/dc/dc|0" + "metro5/pop1/G2/G2_r2|metro5/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -40346,9 +40346,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro5/pop2/G5/G5_r3|metro5/dc1/dc/dc|0", + "metro5/pop2/G7/G7_r3|metro5/dc1/dc/dc|0", "metro5/pop1/G7/G7_r1|metro5/dc1/dc/dc|0", - "metro5/pop2/G7/G7_r3|metro5/dc1/dc/dc|0" + "metro5/pop2/G5/G5_r3|metro5/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -40466,10 +40466,10 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro2/pop1/G2/G2_r1|metro2/pop1/G6/G6_r3|0", - "metro5/pop1/G2/G2_r2|metro5/pop1/G7/G7_r2|0", "metro1/pop2/G2/G2_r3|metro1/pop2/G5/G5_r1|0", - "metro1/pop2/G5/G5_r2|metro1/pop2/G7/G7_r2|0" + "metro1/pop2/G5/G5_r2|metro1/pop2/G7/G7_r2|0", + "metro2/pop1/G2/G2_r1|metro2/pop1/G6/G6_r3|0", + "metro5/pop1/G2/G2_r2|metro5/pop1/G7/G7_r2|0" ] }, "failure_trace": null, @@ -40581,8 +40581,8 @@ "excluded_nodes": [], "excluded_links": [ "metro5/pop2/G4/G4_r3|metro5/dc1/dc/dc|0", - "metro1/pop2/G3/G3_r2|metro1/dc1/dc/dc|0", - "metro1/pop1/G1/G1_r1|metro1/dc1/dc/dc|0" + "metro1/pop1/G1/G1_r1|metro1/dc1/dc/dc|0", + "metro1/pop2/G3/G3_r2|metro1/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -40702,8 +40702,8 @@ "excluded_nodes": [], "excluded_links": [ "metro1/pop1/G4/G4_r3|metro1/dc1/dc/dc|0", - "metro5/pop1/G4/G4_r1|metro5/dc1/dc/dc|0", - "metro5/pop2/G2/G2_r1|metro5/dc1/dc/dc|0" + "metro5/pop2/G2/G2_r1|metro5/dc1/dc/dc|0", + "metro5/pop1/G4/G4_r1|metro5/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -40941,9 +40941,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ + "metro2/pop1/G7/G7_r2|metro2/pop1/G7/G7_r3|0", "metro1/pop2/G1/G1_r1|metro1/pop2/G1/G1_r3|0", "metro2/pop2/G2/G2_r1|metro2/pop2/G2/G2_r3|0", - "metro2/pop1/G7/G7_r2|metro2/pop1/G7/G7_r3|0", "metro2/pop2/G2/G2_r1|metro2/pop2/G3/G3_r3|0" ] }, @@ -41055,10 +41055,10 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro5/pop2/G2/G2_r3|metro5/pop2/G5/G5_r1|0", + "metro1/pop1/G6/G6_r2|metro1/pop1/G6/G6_r3|0", "metro5/pop2/G5/G5_r1|metro5/pop2/G5/G5_r2|0", - "metro5/pop1/G1/G1_r2|metro5/pop1/G6/G6_r2|0", - "metro1/pop1/G6/G6_r2|metro1/pop1/G6/G6_r3|0" + "metro5/pop2/G2/G2_r3|metro5/pop2/G5/G5_r1|0", + "metro5/pop1/G1/G1_r2|metro5/pop1/G6/G6_r2|0" ] }, "failure_trace": null, @@ -41171,10 +41171,10 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro1/pop1/G7/G7_r1|metro1/pop1/G7/G7_r3|0", + "metro1/pop1/G6/G6_r1|metro1/pop1/G6/G6_r2|0", "metro1/pop1/G2/G2_r2|metro1/pop1/G4/G4_r2|0", "metro5/pop1/G2/G2_r2|metro5/pop1/G4/G4_r2|0", - "metro1/pop1/G6/G6_r1|metro1/pop1/G6/G6_r2|0" + "metro1/pop1/G7/G7_r1|metro1/pop1/G7/G7_r3|0" ] }, "failure_trace": null, @@ -41285,9 +41285,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ + "metro5/pop2/G1/G1_r3|metro5/dc1/dc/dc|0", "metro1/pop1/G4/G4_r1|metro1/dc1/dc/dc|0", - "metro1/pop1/G2/G2_r2|metro1/dc1/dc/dc|0", - "metro5/pop2/G1/G1_r3|metro5/dc1/dc/dc|0" + "metro1/pop1/G2/G2_r2|metro1/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -41404,9 +41404,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro5/pop1/G3/G3_r3|metro5/dc1/dc/dc|0", + "metro2/pop2/G2/G2_r3|metro2/dc1/dc/dc|0", "metro5/pop1/G6/G6_r3|metro5/dc1/dc/dc|0", - "metro2/pop2/G2/G2_r3|metro2/dc1/dc/dc|0" + "metro5/pop1/G3/G3_r3|metro5/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -41527,9 +41527,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro1/pop2/G5/G5_r3|metro1/dc1/dc/dc|0", + "metro2/pop2/G5/G5_r1|metro2/dc1/dc/dc|0", "metro5/pop2/G2/G2_r1|metro5/dc1/dc/dc|0", - "metro2/pop2/G5/G5_r1|metro2/dc1/dc/dc|0" + "metro1/pop2/G5/G5_r3|metro1/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -42001,8 +42001,8 @@ "excluded_nodes": [], "excluded_links": [ "metro2/pop2/G5/G5_r3|metro2/dc1/dc/dc|0", - "metro2/pop2/G2/G2_r1|metro2/dc1/dc/dc|0", - "metro1/pop1/G3/G3_r2|metro1/dc1/dc/dc|0" + "metro1/pop1/G3/G3_r2|metro1/dc1/dc/dc|0", + "metro2/pop2/G2/G2_r1|metro2/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -42233,8 +42233,8 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro2/pop1/G4/G4_r1|metro2/dc1/dc/dc|0", "metro5/pop1/G1/G1_r2|metro5/dc1/dc/dc|0", + "metro2/pop1/G4/G4_r1|metro2/dc1/dc/dc|0", "metro2/pop1/G7/G7_r3|metro2/dc1/dc/dc|0" ] }, @@ -42354,9 +42354,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro5/pop1/G1/G1_r3|metro5/dc1/dc/dc|0", + "metro5/pop1/G5/G5_r2|metro5/dc1/dc/dc|0", "metro5/pop2/G2/G2_r1|metro5/dc1/dc/dc|0", - "metro5/pop1/G5/G5_r2|metro5/dc1/dc/dc|0" + "metro5/pop1/G1/G1_r3|metro5/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -42473,9 +42473,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro1/pop2/G1/G1_r1|metro1/dc1/dc/dc|0", "metro2/pop1/G5/G5_r3|metro2/dc1/dc/dc|0", - "metro1/pop2/G3/G3_r1|metro1/dc1/dc/dc|0" + "metro1/pop2/G3/G3_r1|metro1/dc1/dc/dc|0", + "metro1/pop2/G1/G1_r1|metro1/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -42594,9 +42594,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro2/pop1/G3/G3_r1|metro2/pop1/G4/G4_r3|0", - "metro2/pop1/G5/G5_r1|metro2/pop1/G5/G5_r2|0", "metro1/pop2/G7/G7_r1|metro1/pop2/G7/G7_r2|0", + "metro2/pop1/G5/G5_r1|metro2/pop1/G5/G5_r2|0", + "metro2/pop1/G3/G3_r1|metro2/pop1/G4/G4_r3|0", "metro2/pop1/G4/G4_r1|metro2/pop1/G4/G4_r3|0" ] }, @@ -42709,8 +42709,8 @@ "excluded_nodes": [], "excluded_links": [ "metro5/pop2/G4/G4_r3|metro5/dc1/dc/dc|0", - "metro5/pop2/G5/G5_r1|metro5/dc1/dc/dc|0", - "metro1/pop1/G2/G2_r3|metro1/dc1/dc/dc|0" + "metro1/pop1/G2/G2_r3|metro1/dc1/dc/dc|0", + "metro5/pop2/G5/G5_r1|metro5/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -42828,9 +42828,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ + "metro5/pop2/G5/G5_r1|metro5/dc1/dc/dc|0", "metro1/pop2/G1/G1_r2|metro1/dc1/dc/dc|0", - "metro1/pop2/G6/G6_r2|metro1/dc1/dc/dc|0", - "metro5/pop2/G5/G5_r1|metro5/dc1/dc/dc|0" + "metro1/pop2/G6/G6_r2|metro1/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -42947,8 +42947,8 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro1/pop1/G4/G4_r3|metro1/dc1/dc/dc|0", "metro1/pop1/G5/G5_r1|metro1/dc1/dc/dc|0", + "metro1/pop1/G4/G4_r3|metro1/dc1/dc/dc|0", "metro5/pop2/G2/G2_r2|metro5/dc1/dc/dc|0" ] }, @@ -43067,9 +43067,9 @@ "excluded_nodes": [], "excluded_links": [ "metro5/pop2/G5/G5_r2|metro5/pop2/G7/G7_r2|0", - "metro5/pop1/G5/G5_r1|metro5/pop1/G5/G5_r2|0", + "metro1/pop2/G4/G4_r1|metro1/pop2/G4/G4_r3|0", "metro2/pop2/G1/G1_r3|metro2/pop2/G4/G4_r1|0", - "metro1/pop2/G4/G4_r1|metro1/pop2/G4/G4_r3|0" + "metro5/pop1/G5/G5_r1|metro5/pop1/G5/G5_r2|0" ] }, "failure_trace": null, @@ -43180,9 +43180,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ + "metro5/pop1/G5/G5_r3|metro5/dc1/dc/dc|0", "metro1/pop1/G5/G5_r2|metro1/dc1/dc/dc|0", - "metro2/pop2/G5/G5_r3|metro2/dc1/dc/dc|0", - "metro5/pop1/G5/G5_r3|metro5/dc1/dc/dc|0" + "metro2/pop2/G5/G5_r3|metro2/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -43306,10 +43306,10 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro2/pop2/G5/G5_r2|metro2/pop2/G5/G5_r3|0", - "metro2/pop1/G3/G3_r1|metro2/pop1/G3/G3_r2|0", + "metro1/pop1/G1/G1_r2|metro1/pop1/G1/G1_r3|0", "metro2/pop2/G1/G1_r1|metro2/pop2/G5/G5_r3|0", - "metro1/pop1/G1/G1_r2|metro1/pop1/G1/G1_r3|0" + "metro2/pop2/G5/G5_r2|metro2/pop2/G5/G5_r3|0", + "metro2/pop1/G3/G3_r1|metro2/pop1/G3/G3_r2|0" ] }, "failure_trace": null, @@ -43647,8 +43647,8 @@ "excluded_nodes": [], "excluded_links": [ "metro2/pop1/G6/G6_r3|metro2/dc1/dc/dc|0", - "metro2/pop2/G7/G7_r3|metro2/dc1/dc/dc|0", - "metro2/pop2/G6/G6_r3|metro2/dc1/dc/dc|0" + "metro2/pop2/G6/G6_r3|metro2/dc1/dc/dc|0", + "metro2/pop2/G7/G7_r3|metro2/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -43770,8 +43770,8 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro5/pop2/G6/G6_r1|metro5/dc1/dc/dc|0", "metro2/pop2/G3/G3_r3|metro2/dc1/dc/dc|0", + "metro5/pop2/G6/G6_r1|metro5/dc1/dc/dc|0", "metro5/pop1/G6/G6_r3|metro5/dc1/dc/dc|0" ] }, @@ -43893,9 +43893,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ + "metro2/pop1/G6/G6_r2|metro2/dc1/dc/dc|0", "metro2/pop1/G1/G1_r2|metro2/dc1/dc/dc|0", - "metro1/pop2/G5/G5_r3|metro1/dc1/dc/dc|0", - "metro2/pop1/G6/G6_r2|metro2/dc1/dc/dc|0" + "metro1/pop2/G5/G5_r3|metro1/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -44016,10 +44016,10 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro5/pop1/G5/G5_r1|metro5/pop1/G5/G5_r3|0", - "metro2/pop2/G1/G1_r2|metro2/pop2/G1/G1_r3|0", "metro1/pop2/G5/G5_r2|metro1/pop2/G7/G7_r2|0", - "metro2/pop2/G7/G7_r2|metro2/pop2/G7/G7_r3|0" + "metro5/pop1/G5/G5_r1|metro5/pop1/G5/G5_r3|0", + "metro2/pop2/G7/G7_r2|metro2/pop2/G7/G7_r3|0", + "metro2/pop2/G1/G1_r2|metro2/pop2/G1/G1_r3|0" ] }, "failure_trace": null, @@ -44131,8 +44131,8 @@ "excluded_nodes": [], "excluded_links": [ "metro2/pop2/G4/G4_r1|metro2/dc1/dc/dc|0", - "metro5/pop2/G3/G3_r1|metro5/dc1/dc/dc|0", - "metro5/pop2/G5/G5_r2|metro5/dc1/dc/dc|0" + "metro5/pop2/G5/G5_r2|metro5/dc1/dc/dc|0", + "metro5/pop2/G3/G3_r1|metro5/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -44249,8 +44249,8 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro5/pop2/G2/G2_r3|metro5/dc1/dc/dc|0", "metro5/pop1/G3/G3_r1|metro5/dc1/dc/dc|0", + "metro5/pop2/G2/G2_r3|metro5/dc1/dc/dc|0", "metro2/pop2/G3/G3_r2|metro2/dc1/dc/dc|0" ] }, @@ -44372,9 +44372,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ + "metro2/pop1/G6/G6_r2|metro2/dc1/dc/dc|0", "metro1/pop1/G1/G1_r1|metro1/dc1/dc/dc|0", - "metro1/pop1/G6/G6_r1|metro1/dc1/dc/dc|0", - "metro2/pop1/G6/G6_r2|metro2/dc1/dc/dc|0" + "metro1/pop1/G6/G6_r1|metro1/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -44492,9 +44492,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ + "metro2/pop1/G1/G1_r1|metro2/dc1/dc/dc|0", "metro1/pop1/G4/G4_r3|metro1/dc1/dc/dc|0", - "metro2/pop2/G6/G6_r3|metro2/dc1/dc/dc|0", - "metro2/pop1/G1/G1_r1|metro2/dc1/dc/dc|0" + "metro2/pop2/G6/G6_r3|metro2/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -44617,9 +44617,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ + "metro2/pop2/G1/G1_r1|metro2/dc1/dc/dc|0", "metro5/pop2/G3/G3_r2|metro5/dc1/dc/dc|0", - "metro1/pop1/G7/G7_r3|metro1/dc1/dc/dc|0", - "metro2/pop2/G1/G1_r1|metro2/dc1/dc/dc|0" + "metro1/pop1/G7/G7_r3|metro1/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -44740,9 +44740,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro2/pop1/G7/G7_r1|metro2/dc1/dc/dc|0", "metro5/pop1/G5/G5_r3|metro5/dc1/dc/dc|0", - "metro5/pop1/G7/G7_r3|metro5/dc1/dc/dc|0" + "metro5/pop1/G7/G7_r3|metro5/dc1/dc/dc|0", + "metro2/pop1/G7/G7_r1|metro2/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -44861,10 +44861,10 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro2/pop2/G5/G5_r2|metro2/pop2/G7/G7_r2|0", "metro2/pop2/G1/G1_r2|metro2/pop2/G6/G6_r2|0", "metro2/pop1/G2/G2_r1|metro2/pop1/G6/G6_r3|0", - "metro5/pop1/G1/G1_r2|metro5/pop1/G3/G3_r2|0" + "metro5/pop1/G1/G1_r2|metro5/pop1/G3/G3_r2|0", + "metro2/pop2/G5/G5_r2|metro2/pop2/G7/G7_r2|0" ] }, "failure_trace": null, @@ -44975,10 +44975,10 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro5/pop2/G1/G1_r2|metro5/pop2/G6/G6_r2|0", "metro2/pop2/G3/G3_r2|metro2/pop2/G5/G5_r2|0", - "metro1/pop2/G3/G3_r1|metro1/pop2/G3/G3_r3|0", - "metro2/pop2/G4/G4_r1|metro2/pop2/G4/G4_r2|0" + "metro5/pop2/G1/G1_r2|metro5/pop2/G6/G6_r2|0", + "metro2/pop2/G4/G4_r1|metro2/pop2/G4/G4_r2|0", + "metro1/pop2/G3/G3_r1|metro1/pop2/G3/G3_r3|0" ] }, "failure_trace": null, @@ -45203,9 +45203,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ + "metro5/pop2/G6/G6_r2|metro5/dc1/dc/dc|0", "metro2/pop2/G4/G4_r2|metro2/dc1/dc/dc|0", - "metro2/pop2/G6/G6_r2|metro2/dc1/dc/dc|0", - "metro5/pop2/G6/G6_r2|metro5/dc1/dc/dc|0" + "metro2/pop2/G6/G6_r2|metro2/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -45325,8 +45325,8 @@ "excluded_nodes": [], "excluded_links": [ "metro2/pop2/G5/G5_r1|metro2/pop2/G5/G5_r3|0", - "metro2/pop2/G3/G3_r2|metro2/pop2/G5/G5_r2|0", "metro1/pop2/G1/G1_r2|metro1/pop2/G3/G3_r2|0", + "metro2/pop2/G3/G3_r2|metro2/pop2/G5/G5_r2|0", "metro1/pop1/G1/G1_r2|metro1/pop1/G1/G1_r3|0" ] }, @@ -45438,9 +45438,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro1/pop2/G3/G3_r1|metro1/dc1/dc/dc|0", + "metro2/pop2/G1/G1_r1|metro2/dc1/dc/dc|0", "metro1/pop1/G3/G3_r2|metro1/dc1/dc/dc|0", - "metro2/pop2/G1/G1_r1|metro2/dc1/dc/dc|0" + "metro1/pop2/G3/G3_r1|metro1/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -45674,9 +45674,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ + "metro1/pop1/G5/G5_r2|metro1/dc1/dc/dc|0", "metro1/pop2/G3/G3_r2|metro1/dc1/dc/dc|0", - "metro5/pop1/G6/G6_r3|metro5/dc1/dc/dc|0", - "metro1/pop1/G5/G5_r2|metro1/dc1/dc/dc|0" + "metro5/pop1/G6/G6_r3|metro5/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -45795,8 +45795,8 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro1/pop1/G4/G4_r1|metro1/dc1/dc/dc|0", "metro2/pop2/G3/G3_r3|metro2/dc1/dc/dc|0", + "metro1/pop1/G4/G4_r1|metro1/dc1/dc/dc|0", "metro2/pop2/G2/G2_r1|metro2/dc1/dc/dc|0" ] }, @@ -45917,8 +45917,8 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro1/pop2/G4/G4_r1|metro1/pop2/G5/G5_r3|0", "metro2/pop2/G1/G1_r2|metro2/pop2/G6/G6_r2|0", + "metro1/pop2/G4/G4_r1|metro1/pop2/G5/G5_r3|0", "metro2/pop2/G1/G1_r1|metro2/pop2/G5/G5_r3|0", "metro1/pop1/G1/G1_r1|metro1/pop1/G1/G1_r3|0" ] @@ -46144,8 +46144,8 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro1/pop2/G6/G6_r3|metro1/dc1/dc/dc|0", "metro5/pop1/G5/G5_r3|metro5/dc1/dc/dc|0", + "metro1/pop2/G6/G6_r3|metro1/dc1/dc/dc|0", "metro5/pop1/G7/G7_r3|metro5/dc1/dc/dc|0" ] }, @@ -46263,8 +46263,8 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro1/pop2/G7/G7_r2|metro1/dc1/dc/dc|0", "metro2/pop2/G4/G4_r1|metro2/dc1/dc/dc|0", + "metro1/pop2/G7/G7_r2|metro1/dc1/dc/dc|0", "metro5/pop2/G2/G2_r3|metro5/dc1/dc/dc|0" ] }, @@ -46383,8 +46383,8 @@ "excluded_nodes": [], "excluded_links": [ "metro2/pop1/G5/G5_r3|metro2/dc1/dc/dc|0", - "metro5/pop1/G1/G1_r3|metro5/dc1/dc/dc|0", - "metro2/pop2/G3/G3_r1|metro2/dc1/dc/dc|0" + "metro2/pop2/G3/G3_r1|metro2/dc1/dc/dc|0", + "metro5/pop1/G1/G1_r3|metro5/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -46509,8 +46509,8 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro5/pop1/G7/G7_r2|metro5/dc1/dc/dc|0", "metro5/pop2/G7/G7_r1|metro5/dc1/dc/dc|0", + "metro5/pop1/G7/G7_r2|metro5/dc1/dc/dc|0", "metro2/pop2/G3/G3_r2|metro2/dc1/dc/dc|0" ] }, @@ -46752,9 +46752,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro1/pop1/G7/G7_r3|metro1/dc1/dc/dc|0", "metro5/pop1/G5/G5_r3|metro5/dc1/dc/dc|0", - "metro2/pop2/G5/G5_r1|metro2/dc1/dc/dc|0" + "metro2/pop2/G5/G5_r1|metro2/dc1/dc/dc|0", + "metro1/pop1/G7/G7_r3|metro1/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -46992,9 +46992,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro2/pop1/G1/G1_r3|metro2/dc1/dc/dc|0", + "metro2/pop2/G2/G2_r3|metro2/dc1/dc/dc|0", "metro5/pop1/G4/G4_r2|metro5/dc1/dc/dc|0", - "metro2/pop2/G2/G2_r3|metro2/dc1/dc/dc|0" + "metro2/pop1/G1/G1_r3|metro2/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -47117,8 +47117,8 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro1/pop1/G5/G5_r1|metro1/dc1/dc/dc|0", "metro1/pop2/G5/G5_r2|metro1/dc1/dc/dc|0", + "metro1/pop1/G5/G5_r1|metro1/dc1/dc/dc|0", "metro2/pop2/G3/G3_r2|metro2/dc1/dc/dc|0" ] }, @@ -47240,8 +47240,8 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro1/pop2/G6/G6_r2|metro1/dc1/dc/dc|0", "metro5/pop2/G7/G7_r2|metro5/dc1/dc/dc|0", + "metro1/pop2/G6/G6_r2|metro1/dc1/dc/dc|0", "metro5/pop1/G7/G7_r1|metro5/dc1/dc/dc|0" ] }, @@ -47363,8 +47363,8 @@ "excluded_nodes": [], "excluded_links": [ "metro5/pop1/G6/G6_r2|metro5/dc1/dc/dc|0", - "metro2/pop2/G5/G5_r3|metro2/dc1/dc/dc|0", - "metro5/pop2/G4/G4_r2|metro5/dc1/dc/dc|0" + "metro5/pop2/G4/G4_r2|metro5/dc1/dc/dc|0", + "metro2/pop2/G5/G5_r3|metro2/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -47487,8 +47487,8 @@ "excluded_nodes": [], "excluded_links": [ "metro2/pop1/G1/G1_r2|metro2/pop1/G3/G3_r2|0", - "metro2/pop2/G3/G3_r3|metro2/pop2/G6/G6_r1|0", "metro1/pop2/G5/G5_r1|metro1/pop2/G6/G6_r3|0", + "metro2/pop2/G3/G3_r3|metro2/pop2/G6/G6_r1|0", "metro5/pop1/G6/G6_r2|metro5/pop1/G6/G6_r3|0" ] }, @@ -47600,9 +47600,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro5/pop2/G4/G4_r2|metro5/dc1/dc/dc|0", + "metro5/pop1/G5/G5_r3|metro5/dc1/dc/dc|0", "metro5/pop2/G2/G2_r3|metro5/dc1/dc/dc|0", - "metro5/pop1/G5/G5_r3|metro5/dc1/dc/dc|0" + "metro5/pop2/G4/G4_r2|metro5/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -47719,9 +47719,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro2/pop1/G2/G2_r2|metro2/dc1/dc/dc|0", + "metro5/pop2/G2/G2_r3|metro5/dc1/dc/dc|0", "metro2/pop1/G2/G2_r1|metro2/dc1/dc/dc|0", - "metro5/pop2/G2/G2_r3|metro5/dc1/dc/dc|0" + "metro2/pop1/G2/G2_r2|metro2/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -48077,8 +48077,8 @@ "excluded_nodes": [], "excluded_links": [ "metro5/pop1/G6/G6_r3|metro5/dc1/dc/dc|0", - "metro5/pop1/G1/G1_r3|metro5/dc1/dc/dc|0", - "metro2/pop2/G7/G7_r2|metro2/dc1/dc/dc|0" + "metro2/pop2/G7/G7_r2|metro2/dc1/dc/dc|0", + "metro5/pop1/G1/G1_r3|metro5/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -48201,8 +48201,8 @@ "excluded_nodes": [], "excluded_links": [ "metro1/pop1/G1/G1_r1|metro1/dc1/dc/dc|0", - "metro2/pop2/G5/G5_r3|metro2/dc1/dc/dc|0", - "metro1/pop1/G3/G3_r2|metro1/dc1/dc/dc|0" + "metro1/pop1/G3/G3_r2|metro1/dc1/dc/dc|0", + "metro2/pop2/G5/G5_r3|metro2/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -48325,9 +48325,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro1/pop1/G2/G2_r1|metro1/dc1/dc/dc|0", "metro2/pop1/G6/G6_r1|metro2/dc1/dc/dc|0", - "metro5/pop2/G2/G2_r2|metro5/dc1/dc/dc|0" + "metro5/pop2/G2/G2_r2|metro5/dc1/dc/dc|0", + "metro1/pop1/G2/G2_r1|metro1/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -48561,8 +48561,8 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro2/pop1/G4/G4_r1|metro2/dc1/dc/dc|0", "metro2/pop2/G5/G5_r3|metro2/dc1/dc/dc|0", + "metro2/pop1/G4/G4_r1|metro2/dc1/dc/dc|0", "metro2/pop2/G6/G6_r2|metro2/dc1/dc/dc|0" ] }, @@ -48681,9 +48681,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro5/pop2/G6/G6_r1|metro5/dc1/dc/dc|0", "metro2/pop2/G4/G4_r1|metro2/dc1/dc/dc|0", - "metro5/pop1/G7/G7_r1|metro5/dc1/dc/dc|0" + "metro5/pop1/G7/G7_r1|metro5/dc1/dc/dc|0", + "metro5/pop2/G6/G6_r1|metro5/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -48804,8 +48804,8 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro5/pop2/G6/G6_r3|metro5/dc1/dc/dc|0", "metro2/pop1/G6/G6_r1|metro2/dc1/dc/dc|0", + "metro5/pop2/G6/G6_r3|metro5/dc1/dc/dc|0", "metro2/pop1/G3/G3_r3|metro2/dc1/dc/dc|0" ] }, @@ -49042,10 +49042,10 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro1/pop2/G2/G2_r2|metro1/pop2/G2/G2_r3|0", - "metro5/pop2/G4/G4_r2|metro5/pop2/G6/G6_r2|0", "metro2/pop2/G6/G6_r1|metro2/pop2/G6/G6_r3|0", - "metro2/pop2/G4/G4_r2|metro2/pop2/G6/G6_r2|0" + "metro2/pop2/G4/G4_r2|metro2/pop2/G6/G6_r2|0", + "metro1/pop2/G2/G2_r2|metro1/pop2/G2/G2_r3|0", + "metro5/pop2/G4/G4_r2|metro5/pop2/G6/G6_r2|0" ] }, "failure_trace": null, @@ -49156,10 +49156,10 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro5/pop2/G6/G6_r2|metro5/pop2/G6/G6_r3|0", "metro5/pop2/G2/G2_r2|metro5/pop2/G4/G4_r2|0", - "metro2/pop1/G2/G2_r1|metro2/pop1/G2/G2_r2|0", - "metro1/pop1/G5/G5_r1|metro1/pop1/G6/G6_r3|0" + "metro1/pop1/G5/G5_r1|metro1/pop1/G6/G6_r3|0", + "metro5/pop2/G6/G6_r2|metro5/pop2/G6/G6_r3|0", + "metro2/pop1/G2/G2_r1|metro2/pop1/G2/G2_r2|0" ] }, "failure_trace": null, @@ -49394,9 +49394,9 @@ "excluded_nodes": [], "excluded_links": [ "metro2/pop1/G1/G1_r2|metro2/pop1/G1/G1_r3|0", + "metro1/pop1/G1/G1_r2|metro1/pop1/G1/G1_r3|0", "metro5/pop1/G6/G6_r1|metro5/pop1/G6/G6_r2|0", - "metro2/pop1/G1/G1_r1|metro2/pop1/G1/G1_r2|0", - "metro1/pop1/G1/G1_r2|metro1/pop1/G1/G1_r3|0" + "metro2/pop1/G1/G1_r1|metro2/pop1/G1/G1_r2|0" ] }, "failure_trace": null, @@ -49620,10 +49620,10 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ + "metro5/pop2/G7/G7_r1|metro5/pop2/G7/G7_r3|0", "metro2/pop1/G1/G1_r1|metro2/pop1/G5/G5_r3|0", "metro1/pop2/G1/G1_r3|metro1/pop2/G7/G7_r1|0", - "metro1/pop2/G2/G2_r1|metro1/pop2/G6/G6_r3|0", - "metro5/pop2/G7/G7_r1|metro5/pop2/G7/G7_r3|0" + "metro1/pop2/G2/G2_r1|metro1/pop2/G6/G6_r3|0" ] }, "failure_trace": null, @@ -49860,8 +49860,8 @@ "excluded_nodes": [], "excluded_links": [ "metro1/pop1/G5/G5_r3|metro1/dc1/dc/dc|0", - "metro1/pop1/G2/G2_r2|metro1/dc1/dc/dc|0", - "metro1/pop2/G2/G2_r1|metro1/dc1/dc/dc|0" + "metro1/pop2/G2/G2_r1|metro1/dc1/dc/dc|0", + "metro1/pop1/G2/G2_r2|metro1/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -49976,9 +49976,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro2/pop2/G6/G6_r3|metro2/dc1/dc/dc|0", "metro1/pop2/G2/G2_r1|metro1/dc1/dc/dc|0", - "metro5/pop1/G2/G2_r1|metro5/dc1/dc/dc|0" + "metro5/pop1/G2/G2_r1|metro5/dc1/dc/dc|0", + "metro2/pop2/G6/G6_r3|metro2/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -50100,9 +50100,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro5/pop1/G4/G4_r1|metro5/dc1/dc/dc|0", "metro2/pop2/G7/G7_r1|metro2/dc1/dc/dc|0", - "metro5/pop2/G2/G2_r2|metro5/dc1/dc/dc|0" + "metro5/pop2/G2/G2_r2|metro5/dc1/dc/dc|0", + "metro5/pop1/G4/G4_r1|metro5/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -50458,9 +50458,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro5/pop2/G3/G3_r2|metro5/dc1/dc/dc|0", "metro1/pop2/G4/G4_r1|metro1/dc1/dc/dc|0", - "metro5/pop1/G7/G7_r3|metro5/dc1/dc/dc|0" + "metro5/pop1/G7/G7_r3|metro5/dc1/dc/dc|0", + "metro5/pop2/G3/G3_r2|metro5/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -50579,8 +50579,8 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro5/pop2/G5/G5_r1|metro5/dc1/dc/dc|0", "metro1/pop2/G3/G3_r3|metro1/dc1/dc/dc|0", + "metro5/pop2/G5/G5_r1|metro5/dc1/dc/dc|0", "metro1/pop1/G4/G4_r2|metro1/dc1/dc/dc|0" ] }, @@ -50701,9 +50701,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ + "metro5/pop1/G5/G5_r1|metro5/dc1/dc/dc|0", "metro2/pop2/G3/G3_r2|metro2/dc1/dc/dc|0", - "metro2/pop1/G7/G7_r1|metro2/dc1/dc/dc|0", - "metro5/pop1/G5/G5_r1|metro5/dc1/dc/dc|0" + "metro2/pop1/G7/G7_r1|metro2/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -50941,8 +50941,8 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro1/pop2/G7/G7_r2|metro1/dc1/dc/dc|0", "metro1/pop2/G4/G4_r3|metro1/dc1/dc/dc|0", + "metro1/pop2/G7/G7_r2|metro1/dc1/dc/dc|0", "metro1/pop2/G4/G4_r2|metro1/dc1/dc/dc|0" ] }, @@ -51297,9 +51297,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro1/pop1/G1/G1_r2|metro1/dc1/dc/dc|0", + "metro2/pop2/G5/G5_r1|metro2/dc1/dc/dc|0", "metro5/pop1/G7/G7_r1|metro5/dc1/dc/dc|0", - "metro2/pop2/G5/G5_r1|metro2/dc1/dc/dc|0" + "metro1/pop1/G1/G1_r2|metro1/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -51422,9 +51422,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro2/pop2/G7/G7_r3|metro2/dc1/dc/dc|0", "metro5/pop2/G7/G7_r3|metro5/dc1/dc/dc|0", - "metro2/pop1/G3/G3_r3|metro2/dc1/dc/dc|0" + "metro2/pop1/G3/G3_r3|metro2/dc1/dc/dc|0", + "metro2/pop2/G7/G7_r3|metro2/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -51543,10 +51543,10 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro2/pop1/G6/G6_r2|metro2/pop1/G6/G6_r3|0", "metro2/pop2/G7/G7_r1|metro2/pop2/G7/G7_r2|0", "metro2/pop2/G1/G1_r3|metro2/pop2/G4/G4_r1|0", - "metro1/pop2/G6/G6_r1|metro1/pop2/G7/G7_r3|0" + "metro1/pop2/G6/G6_r1|metro1/pop2/G7/G7_r3|0", + "metro2/pop1/G6/G6_r2|metro2/pop1/G6/G6_r3|0" ] }, "failure_trace": null, @@ -51657,10 +51657,10 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro5/pop2/G5/G5_r1|metro5/pop2/G5/G5_r2|0", - "metro1/pop1/G2/G2_r1|metro1/pop1/G2/G2_r2|0", "metro5/pop1/G3/G3_r3|metro5/pop1/G6/G6_r1|0", - "metro2/pop1/G2/G2_r1|metro2/pop1/G3/G3_r3|0" + "metro2/pop1/G2/G2_r1|metro2/pop1/G3/G3_r3|0", + "metro1/pop1/G2/G2_r1|metro1/pop1/G2/G2_r2|0", + "metro5/pop2/G5/G5_r1|metro5/pop2/G5/G5_r2|0" ] }, "failure_trace": null, @@ -51884,9 +51884,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro1/pop2/G3/G3_r1|metro1/pop2/G3/G3_r2|0", - "metro1/pop1/G5/G5_r2|metro1/pop1/G7/G7_r2|0", "metro5/pop2/G2/G2_r2|metro5/pop2/G4/G4_r2|0", + "metro1/pop1/G5/G5_r2|metro1/pop1/G7/G7_r2|0", + "metro1/pop2/G3/G3_r1|metro1/pop2/G3/G3_r2|0", "metro1/pop2/G2/G2_r2|metro1/pop2/G7/G7_r2|0" ] }, @@ -51999,9 +51999,9 @@ "excluded_nodes": [], "excluded_links": [ "metro1/pop1/G1/G1_r1|metro1/pop1/G1/G1_r2|0", - "metro5/pop2/G3/G3_r1|metro5/pop2/G7/G7_r3|0", + "metro2/pop1/G5/G5_r1|metro2/pop1/G6/G6_r3|0", "metro1/pop1/G7/G7_r1|metro1/pop1/G7/G7_r3|0", - "metro2/pop1/G5/G5_r1|metro2/pop1/G6/G6_r3|0" + "metro5/pop2/G3/G3_r1|metro5/pop2/G7/G7_r3|0" ] }, "failure_trace": null, @@ -52112,9 +52112,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro2/pop2/G1/G1_r2|metro2/dc1/dc/dc|0", + "metro2/pop2/G2/G2_r3|metro2/dc1/dc/dc|0", "metro5/pop1/G4/G4_r2|metro5/dc1/dc/dc|0", - "metro2/pop2/G2/G2_r3|metro2/dc1/dc/dc|0" + "metro2/pop2/G1/G1_r2|metro2/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -52236,9 +52236,9 @@ "excluded_nodes": [], "excluded_links": [ "metro1/pop1/G6/G6_r1|metro1/pop1/G6/G6_r2|0", - "metro2/pop1/G4/G4_r2|metro2/pop1/G6/G6_r2|0", "metro5/pop2/G3/G3_r2|metro5/pop2/G3/G3_r3|0", - "metro2/pop2/G4/G4_r1|metro2/pop2/G4/G4_r2|0" + "metro2/pop2/G4/G4_r1|metro2/pop2/G4/G4_r2|0", + "metro2/pop1/G4/G4_r2|metro2/pop1/G6/G6_r2|0" ] }, "failure_trace": null, @@ -52472,8 +52472,8 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro1/pop2/G5/G5_r1|metro1/dc1/dc/dc|0", "metro1/pop1/G3/G3_r3|metro1/dc1/dc/dc|0", + "metro1/pop2/G5/G5_r1|metro1/dc1/dc/dc|0", "metro2/pop2/G6/G6_r3|metro2/dc1/dc/dc|0" ] }, @@ -52598,9 +52598,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ + "metro2/pop2/G2/G2_r3|metro2/dc1/dc/dc|0", "metro5/pop2/G6/G6_r3|metro5/dc1/dc/dc|0", - "metro1/pop1/G2/G2_r2|metro1/dc1/dc/dc|0", - "metro2/pop2/G2/G2_r3|metro2/dc1/dc/dc|0" + "metro1/pop1/G2/G2_r2|metro1/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -52722,8 +52722,8 @@ "excluded_nodes": [], "excluded_links": [ "metro5/pop1/G6/G6_r2|metro5/dc1/dc/dc|0", - "metro2/pop1/G1/G1_r2|metro2/dc1/dc/dc|0", - "metro2/pop2/G5/G5_r2|metro2/dc1/dc/dc|0" + "metro2/pop2/G5/G5_r2|metro2/dc1/dc/dc|0", + "metro2/pop1/G1/G1_r2|metro2/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -52847,9 +52847,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ + "metro1/pop1/G5/G5_r3|metro1/dc1/dc/dc|0", "metro5/pop2/G5/G5_r1|metro5/dc1/dc/dc|0", - "metro5/pop1/G4/G4_r3|metro5/dc1/dc/dc|0", - "metro1/pop1/G5/G5_r3|metro1/dc1/dc/dc|0" + "metro5/pop1/G4/G4_r3|metro5/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -52969,10 +52969,10 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ + "metro1/pop2/G2/G2_r3|metro1/pop2/G5/G5_r1|0", "metro2/pop2/G2/G2_r2|metro2/pop2/G4/G4_r2|0", "metro2/pop2/G3/G3_r1|metro2/pop2/G4/G4_r3|0", - "metro2/pop2/G4/G4_r1|metro2/pop2/G4/G4_r2|0", - "metro1/pop2/G2/G2_r3|metro1/pop2/G5/G5_r1|0" + "metro2/pop2/G4/G4_r1|metro2/pop2/G4/G4_r2|0" ] }, "failure_trace": null, @@ -53084,8 +53084,8 @@ "excluded_nodes": [], "excluded_links": [ "metro2/pop1/G4/G4_r1|metro2/dc1/dc/dc|0", - "metro2/pop2/G2/G2_r1|metro2/dc1/dc/dc|0", - "metro2/pop1/G1/G1_r3|metro2/dc1/dc/dc|0" + "metro2/pop1/G1/G1_r3|metro2/dc1/dc/dc|0", + "metro2/pop2/G2/G2_r1|metro2/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -53204,9 +53204,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ + "metro5/pop2/G7/G7_r2|metro5/dc1/dc/dc|0", "metro5/pop2/G5/G5_r1|metro5/dc1/dc/dc|0", - "metro2/pop1/G1/G1_r3|metro2/dc1/dc/dc|0", - "metro5/pop2/G7/G7_r2|metro5/dc1/dc/dc|0" + "metro2/pop1/G1/G1_r3|metro2/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -53673,8 +53673,8 @@ "excluded_nodes": [], "excluded_links": [ "metro1/pop2/G3/G3_r3|metro1/dc1/dc/dc|0", - "metro5/pop1/G2/G2_r3|metro5/dc1/dc/dc|0", - "metro2/pop1/G1/G1_r1|metro2/dc1/dc/dc|0" + "metro2/pop1/G1/G1_r1|metro2/dc1/dc/dc|0", + "metro5/pop1/G2/G2_r3|metro5/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -53793,10 +53793,10 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro2/pop1/G5/G5_r2|metro2/pop1/G7/G7_r2|0", "metro2/pop2/G3/G3_r2|metro2/pop2/G5/G5_r2|0", - "metro1/pop2/G3/G3_r1|metro1/pop2/G3/G3_r3|0", - "metro1/pop2/G5/G5_r1|metro1/pop2/G5/G5_r3|0" + "metro1/pop2/G5/G5_r1|metro1/pop2/G5/G5_r3|0", + "metro2/pop1/G5/G5_r2|metro2/pop1/G7/G7_r2|0", + "metro1/pop2/G3/G3_r1|metro1/pop2/G3/G3_r3|0" ] }, "failure_trace": null, @@ -53907,9 +53907,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro2/pop2/G5/G5_r3|metro2/dc1/dc/dc|0", + "metro2/pop1/G4/G4_r2|metro2/dc1/dc/dc|0", "metro1/pop1/G1/G1_r2|metro1/dc1/dc/dc|0", - "metro2/pop1/G4/G4_r2|metro2/dc1/dc/dc|0" + "metro2/pop2/G5/G5_r3|metro2/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -54032,9 +54032,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ + "metro5/pop2/G5/G5_r1|metro5/dc1/dc/dc|0", "metro2/pop2/G5/G5_r2|metro2/dc1/dc/dc|0", - "metro5/pop1/G2/G2_r1|metro5/dc1/dc/dc|0", - "metro5/pop2/G5/G5_r1|metro5/dc1/dc/dc|0" + "metro5/pop1/G2/G2_r1|metro5/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -54270,8 +54270,8 @@ "excluded_nodes": [], "excluded_links": [ "metro1/pop1/G1/G1_r1|metro1/dc1/dc/dc|0", - "metro1/pop1/G7/G7_r1|metro1/dc1/dc/dc|0", - "metro1/pop1/G5/G5_r3|metro1/dc1/dc/dc|0" + "metro1/pop1/G5/G5_r3|metro1/dc1/dc/dc|0", + "metro1/pop1/G7/G7_r1|metro1/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -54389,8 +54389,8 @@ "excluded_nodes": [], "excluded_links": [ "metro1/pop1/G1/G1_r1|metro1/dc1/dc/dc|0", - "metro2/pop2/G6/G6_r2|metro2/dc1/dc/dc|0", - "metro5/pop2/G7/G7_r2|metro5/dc1/dc/dc|0" + "metro5/pop2/G7/G7_r2|metro5/dc1/dc/dc|0", + "metro2/pop2/G6/G6_r2|metro2/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -54625,8 +54625,8 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro5/pop1/G2/G2_r2|metro5/dc1/dc/dc|0", "metro2/pop2/G5/G5_r3|metro2/dc1/dc/dc|0", + "metro5/pop1/G2/G2_r2|metro5/dc1/dc/dc|0", "metro2/pop2/G1/G1_r3|metro2/dc1/dc/dc|0" ] }, @@ -54748,9 +54748,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro1/pop2/G6/G6_r1|metro1/dc1/dc/dc|0", + "metro5/pop1/G5/G5_r3|metro5/dc1/dc/dc|0", "metro5/pop1/G3/G3_r1|metro5/dc1/dc/dc|0", - "metro5/pop1/G5/G5_r3|metro5/dc1/dc/dc|0" + "metro1/pop2/G6/G6_r1|metro1/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -54990,9 +54990,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro5/pop1/G7/G7_r2|metro5/dc1/dc/dc|0", + "metro2/pop2/G2/G2_r3|metro2/dc1/dc/dc|0", "metro2/pop2/G3/G3_r1|metro2/dc1/dc/dc|0", - "metro2/pop2/G2/G2_r3|metro2/dc1/dc/dc|0" + "metro5/pop1/G7/G7_r2|metro5/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -55113,9 +55113,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro1/pop1/G7/G7_r1|metro1/dc1/dc/dc|0", + "metro1/pop2/G5/G5_r2|metro1/dc1/dc/dc|0", "metro2/pop1/G2/G2_r1|metro2/dc1/dc/dc|0", - "metro1/pop2/G5/G5_r2|metro1/dc1/dc/dc|0" + "metro1/pop1/G7/G7_r1|metro1/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -55234,9 +55234,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ + "metro5/pop2/G4/G4_r3|metro5/dc1/dc/dc|0", "metro1/pop2/G7/G7_r2|metro1/dc1/dc/dc|0", - "metro2/pop1/G7/G7_r3|metro2/dc1/dc/dc|0", - "metro5/pop2/G4/G4_r3|metro5/dc1/dc/dc|0" + "metro2/pop1/G7/G7_r3|metro2/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -55472,8 +55472,8 @@ "excluded_nodes": [], "excluded_links": [ "metro2/pop2/G1/G1_r2|metro2/dc1/dc/dc|0", - "metro2/pop2/G6/G6_r1|metro2/dc1/dc/dc|0", - "metro2/pop2/G2/G2_r3|metro2/dc1/dc/dc|0" + "metro2/pop2/G2/G2_r3|metro2/dc1/dc/dc|0", + "metro2/pop2/G6/G6_r1|metro2/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -55704,8 +55704,8 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro1/pop1/G2/G2_r2|metro1/dc1/dc/dc|0", "metro5/pop1/G3/G3_r1|metro5/dc1/dc/dc|0", + "metro1/pop1/G2/G2_r2|metro1/dc1/dc/dc|0", "metro5/pop2/G1/G1_r2|metro5/dc1/dc/dc|0" ] }, @@ -55825,9 +55825,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro2/pop2/G1/G1_r2|metro2/dc1/dc/dc|0", "metro1/pop1/G3/G3_r3|metro1/dc1/dc/dc|0", - "metro2/pop2/G1/G1_r1|metro2/dc1/dc/dc|0" + "metro2/pop2/G1/G1_r1|metro2/dc1/dc/dc|0", + "metro2/pop2/G1/G1_r2|metro2/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -55947,9 +55947,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro2/pop2/G3/G3_r2|metro2/dc1/dc/dc|0", + "metro5/pop1/G5/G5_r1|metro5/dc1/dc/dc|0", "metro5/pop2/G6/G6_r3|metro5/dc1/dc/dc|0", - "metro5/pop1/G5/G5_r1|metro5/dc1/dc/dc|0" + "metro2/pop2/G3/G3_r2|metro2/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -56183,9 +56183,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ + "metro5/pop2/G7/G7_r2|metro5/dc1/dc/dc|0", "metro2/pop2/G7/G7_r2|metro2/dc1/dc/dc|0", - "metro1/pop1/G3/G3_r1|metro1/dc1/dc/dc|0", - "metro5/pop2/G7/G7_r2|metro5/dc1/dc/dc|0" + "metro1/pop1/G3/G3_r1|metro1/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -56307,8 +56307,8 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro1/pop2/G7/G7_r3|metro1/dc1/dc/dc|0", "metro1/pop2/G3/G3_r2|metro1/dc1/dc/dc|0", + "metro1/pop2/G7/G7_r3|metro1/dc1/dc/dc|0", "metro5/pop2/G5/G5_r3|metro5/dc1/dc/dc|0" ] }, @@ -56425,9 +56425,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ + "metro1/pop2/G5/G5_r2|metro1/dc1/dc/dc|0", "metro1/pop2/G1/G1_r2|metro1/dc1/dc/dc|0", - "metro1/pop2/G4/G4_r3|metro1/dc1/dc/dc|0", - "metro1/pop2/G5/G5_r2|metro1/dc1/dc/dc|0" + "metro1/pop2/G4/G4_r3|metro1/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -56540,9 +56540,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ + "metro5/pop1/G5/G5_r3|metro5/dc1/dc/dc|0", "metro1/pop2/G2/G2_r3|metro1/dc1/dc/dc|0", - "metro5/pop1/G6/G6_r3|metro5/dc1/dc/dc|0", - "metro5/pop1/G5/G5_r3|metro5/dc1/dc/dc|0" + "metro5/pop1/G6/G6_r3|metro5/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -56782,9 +56782,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ + "metro1/pop1/G5/G5_r1|metro1/dc1/dc/dc|0", "metro1/pop2/G7/G7_r2|metro1/dc1/dc/dc|0", - "metro5/pop1/G3/G3_r3|metro5/dc1/dc/dc|0", - "metro1/pop1/G5/G5_r1|metro1/dc1/dc/dc|0" + "metro5/pop1/G3/G3_r3|metro5/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -56904,8 +56904,8 @@ "excluded_nodes": [], "excluded_links": [ "metro5/pop1/G1/G1_r3|metro5/dc1/dc/dc|0", - "metro1/pop1/G7/G7_r2|metro1/dc1/dc/dc|0", - "metro5/pop2/G3/G3_r1|metro5/dc1/dc/dc|0" + "metro5/pop2/G3/G3_r1|metro5/dc1/dc/dc|0", + "metro1/pop1/G7/G7_r2|metro1/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -57145,9 +57145,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ + "metro2/pop1/G4/G4_r2|metro2/dc1/dc/dc|0", "metro1/pop2/G1/G1_r2|metro1/dc1/dc/dc|0", - "metro2/pop2/G6/G6_r1|metro2/dc1/dc/dc|0", - "metro2/pop1/G4/G4_r2|metro2/dc1/dc/dc|0" + "metro2/pop2/G6/G6_r1|metro2/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -57266,9 +57266,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro1/pop2/G6/G6_r1|metro1/dc1/dc/dc|0", "metro5/pop1/G2/G2_r1|metro5/dc1/dc/dc|0", - "metro2/pop2/G3/G3_r2|metro2/dc1/dc/dc|0" + "metro2/pop2/G3/G3_r2|metro2/dc1/dc/dc|0", + "metro1/pop2/G6/G6_r1|metro1/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -57389,8 +57389,8 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro1/pop2/G6/G6_r2|metro1/dc1/dc/dc|0", "metro1/pop2/G4/G4_r1|metro1/dc1/dc/dc|0", + "metro1/pop2/G6/G6_r2|metro1/dc1/dc/dc|0", "metro2/pop2/G7/G7_r3|metro2/dc1/dc/dc|0" ] }, @@ -57510,9 +57510,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro1/pop2/G3/G3_r2|metro1/pop2/G5/G5_r2|0", - "metro1/pop2/G2/G2_r1|metro1/pop2/G3/G3_r3|0", "metro5/pop1/G3/G3_r1|metro5/pop1/G7/G7_r3|0", + "metro1/pop2/G2/G2_r1|metro1/pop2/G3/G3_r3|0", + "metro1/pop2/G3/G3_r2|metro1/pop2/G5/G5_r2|0", "metro5/pop2/G1/G1_r1|metro5/pop2/G1/G1_r2|0" ] }, @@ -57624,9 +57624,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ + "metro2/pop1/G1/G1_r1|metro2/dc1/dc/dc|0", "metro1/pop2/G1/G1_r3|metro1/dc1/dc/dc|0", - "metro2/pop1/G7/G7_r3|metro2/dc1/dc/dc|0", - "metro2/pop1/G1/G1_r1|metro2/dc1/dc/dc|0" + "metro2/pop1/G7/G7_r3|metro2/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -57859,8 +57859,8 @@ "excluded_nodes": [], "excluded_links": [ "metro2/pop1/G2/G2_r2|metro2/dc1/dc/dc|0", - "metro5/pop1/G2/G2_r1|metro5/dc1/dc/dc|0", - "metro2/pop2/G2/G2_r3|metro2/dc1/dc/dc|0" + "metro2/pop2/G2/G2_r3|metro2/dc1/dc/dc|0", + "metro5/pop1/G2/G2_r1|metro5/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -57983,8 +57983,8 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro2/pop2/G5/G5_r2|metro2/dc1/dc/dc|0", "metro1/pop2/G7/G7_r2|metro1/dc1/dc/dc|0", + "metro2/pop2/G5/G5_r2|metro2/dc1/dc/dc|0", "metro5/pop1/G1/G1_r1|metro5/dc1/dc/dc|0" ] }, @@ -58106,8 +58106,8 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro1/pop1/G7/G7_r1|metro1/dc1/dc/dc|0", "metro2/pop2/G6/G6_r3|metro2/dc1/dc/dc|0", + "metro1/pop1/G7/G7_r1|metro1/dc1/dc/dc|0", "metro5/pop2/G1/G1_r2|metro5/dc1/dc/dc|0" ] }, @@ -58230,10 +58230,10 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro1/pop1/G1/G1_r2|metro1/pop1/G6/G6_r2|0", - "metro1/pop2/G2/G2_r1|metro1/pop2/G2/G2_r3|0", "metro5/pop1/G3/G3_r2|metro5/pop1/G3/G3_r3|0", - "metro1/pop2/G6/G6_r2|metro1/pop2/G6/G6_r3|0" + "metro1/pop2/G6/G6_r2|metro1/pop2/G6/G6_r3|0", + "metro1/pop2/G2/G2_r1|metro1/pop2/G2/G2_r3|0", + "metro1/pop1/G1/G1_r2|metro1/pop1/G6/G6_r2|0" ] }, "failure_trace": null, @@ -58345,8 +58345,8 @@ "excluded_nodes": [], "excluded_links": [ "metro1/pop2/G2/G2_r3|metro1/dc1/dc/dc|0", - "metro1/pop1/G7/G7_r1|metro1/dc1/dc/dc|0", - "metro5/pop2/G7/G7_r3|metro5/dc1/dc/dc|0" + "metro5/pop2/G7/G7_r3|metro5/dc1/dc/dc|0", + "metro1/pop1/G7/G7_r1|metro1/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -58464,8 +58464,8 @@ "excluded_nodes": [], "excluded_links": [ "metro1/pop1/G2/G2_r3|metro1/dc1/dc/dc|0", - "metro5/pop1/G7/G7_r2|metro5/dc1/dc/dc|0", - "metro1/pop2/G7/G7_r2|metro1/dc1/dc/dc|0" + "metro1/pop2/G7/G7_r2|metro1/dc1/dc/dc|0", + "metro5/pop1/G7/G7_r2|metro5/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -58584,9 +58584,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro1/pop2/G6/G6_r2|metro1/dc1/dc/dc|0", + "metro5/pop1/G5/G5_r1|metro5/dc1/dc/dc|0", "metro1/pop2/G1/G1_r3|metro1/dc1/dc/dc|0", - "metro5/pop1/G5/G5_r1|metro5/dc1/dc/dc|0" + "metro1/pop2/G6/G6_r2|metro1/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -58705,8 +58705,8 @@ "excluded_nodes": [], "excluded_links": [ "metro1/pop2/G1/G1_r3|metro1/dc1/dc/dc|0", - "metro2/pop1/G4/G4_r2|metro2/dc1/dc/dc|0", - "metro2/pop2/G1/G1_r1|metro2/dc1/dc/dc|0" + "metro2/pop2/G1/G1_r1|metro2/dc1/dc/dc|0", + "metro2/pop1/G4/G4_r2|metro2/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -58825,9 +58825,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ + "metro5/pop2/G4/G4_r1|metro5/dc1/dc/dc|0", "metro2/pop1/G5/G5_r1|metro2/dc1/dc/dc|0", - "metro5/pop2/G1/G1_r2|metro5/dc1/dc/dc|0", - "metro5/pop2/G4/G4_r1|metro5/dc1/dc/dc|0" + "metro5/pop2/G1/G1_r2|metro5/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -58942,10 +58942,10 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro1/pop2/G1/G1_r3|metro1/pop2/G4/G4_r1|0", - "metro1/pop2/G7/G7_r1|metro1/pop2/G7/G7_r3|0", "metro1/pop1/G4/G4_r2|metro1/pop1/G6/G6_r2|0", - "metro1/pop2/G3/G3_r3|metro1/pop2/G6/G6_r1|0" + "metro1/pop2/G3/G3_r3|metro1/pop2/G6/G6_r1|0", + "metro1/pop2/G7/G7_r1|metro1/pop2/G7/G7_r3|0", + "metro1/pop2/G1/G1_r3|metro1/pop2/G4/G4_r1|0" ] }, "failure_trace": null, @@ -59169,10 +59169,10 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro2/pop1/G3/G3_r3|metro2/pop1/G6/G6_r1|0", "metro5/pop1/G3/G3_r2|metro5/pop1/G3/G3_r3|0", - "metro2/pop2/G4/G4_r3|metro2/pop2/G7/G7_r1|0", - "metro2/pop2/G1/G1_r3|metro2/pop2/G7/G7_r1|0" + "metro2/pop1/G3/G3_r3|metro2/pop1/G6/G6_r1|0", + "metro2/pop2/G1/G1_r3|metro2/pop2/G7/G7_r1|0", + "metro2/pop2/G4/G4_r3|metro2/pop2/G7/G7_r1|0" ] }, "failure_trace": null, @@ -59283,10 +59283,10 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro5/pop1/G4/G4_r1|metro5/pop1/G4/G4_r3|0", + "metro5/pop1/G3/G3_r1|metro5/pop1/G3/G3_r3|0", "metro5/pop2/G4/G4_r2|metro5/pop2/G4/G4_r3|0", "metro2/pop2/G3/G3_r1|metro2/pop2/G4/G4_r3|0", - "metro5/pop1/G3/G3_r1|metro5/pop1/G3/G3_r3|0" + "metro5/pop1/G4/G4_r1|metro5/pop1/G4/G4_r3|0" ] }, "failure_trace": null, @@ -59399,8 +59399,8 @@ "excluded_links": [ "metro2/pop2/G3/G3_r1|metro2/pop2/G7/G7_r3|0", "metro2/pop1/G1/G1_r1|metro2/pop1/G5/G5_r3|0", - "metro5/pop2/G2/G2_r1|metro5/pop2/G6/G6_r3|0", - "metro5/pop1/G2/G2_r1|metro5/pop1/G3/G3_r3|0" + "metro5/pop1/G2/G2_r1|metro5/pop1/G3/G3_r3|0", + "metro5/pop2/G2/G2_r1|metro5/pop2/G6/G6_r3|0" ] }, "failure_trace": null, @@ -59511,9 +59511,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro5/pop2/G3/G3_r3|metro5/dc1/dc/dc|0", + "metro5/pop1/G5/G5_r1|metro5/dc1/dc/dc|0", "metro2/pop2/G3/G3_r3|metro2/dc1/dc/dc|0", - "metro5/pop1/G5/G5_r1|metro5/dc1/dc/dc|0" + "metro5/pop2/G3/G3_r3|metro5/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -59634,9 +59634,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ + "metro1/pop2/G5/G5_r2|metro1/dc1/dc/dc|0", "metro1/pop1/G5/G5_r1|metro1/dc1/dc/dc|0", - "metro2/pop2/G6/G6_r1|metro2/dc1/dc/dc|0", - "metro1/pop2/G5/G5_r2|metro1/dc1/dc/dc|0" + "metro2/pop2/G6/G6_r1|metro2/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -59758,9 +59758,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ + "metro2/pop1/G6/G6_r2|metro2/dc1/dc/dc|0", "metro1/pop1/G1/G1_r1|metro1/dc1/dc/dc|0", - "metro2/pop2/G3/G3_r3|metro2/dc1/dc/dc|0", - "metro2/pop1/G6/G6_r2|metro2/dc1/dc/dc|0" + "metro2/pop2/G3/G3_r3|metro2/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -59886,8 +59886,8 @@ "excluded_nodes": [], "excluded_links": [ "metro2/pop2/G4/G4_r3|metro2/dc1/dc/dc|0", - "metro2/pop2/G6/G6_r2|metro2/dc1/dc/dc|0", - "metro5/pop2/G6/G6_r2|metro5/dc1/dc/dc|0" + "metro5/pop2/G6/G6_r2|metro5/dc1/dc/dc|0", + "metro2/pop2/G6/G6_r2|metro2/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -60006,10 +60006,10 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro2/pop2/G2/G2_r2|metro2/pop2/G4/G4_r2|0", "metro2/pop2/G1/G1_r2|metro2/pop2/G3/G3_r2|0", "metro2/pop1/G1/G1_r1|metro2/pop1/G2/G2_r3|0", - "metro2/pop2/G3/G3_r2|metro2/pop2/G3/G3_r3|0" + "metro2/pop2/G3/G3_r2|metro2/pop2/G3/G3_r3|0", + "metro2/pop2/G2/G2_r2|metro2/pop2/G4/G4_r2|0" ] }, "failure_trace": null, @@ -60120,8 +60120,8 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro2/pop1/G6/G6_r3|metro2/dc1/dc/dc|0", "metro2/pop1/G5/G5_r2|metro2/dc1/dc/dc|0", + "metro2/pop1/G6/G6_r3|metro2/dc1/dc/dc|0", "metro2/pop1/G3/G3_r1|metro2/dc1/dc/dc|0" ] }, @@ -60352,9 +60352,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ + "metro1/pop2/G4/G4_r2|metro1/dc1/dc/dc|0", "metro5/pop2/G3/G3_r2|metro5/dc1/dc/dc|0", - "metro2/pop2/G7/G7_r3|metro2/dc1/dc/dc|0", - "metro1/pop2/G4/G4_r2|metro1/dc1/dc/dc|0" + "metro2/pop2/G7/G7_r3|metro2/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -60472,8 +60472,8 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro2/pop2/G5/G5_r2|metro2/dc1/dc/dc|0", "metro5/pop2/G7/G7_r1|metro5/dc1/dc/dc|0", + "metro2/pop2/G5/G5_r2|metro2/dc1/dc/dc|0", "metro5/pop2/G3/G3_r1|metro5/dc1/dc/dc|0" ] }, @@ -60592,9 +60592,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ + "metro1/pop2/G4/G4_r1|metro1/dc1/dc/dc|0", "metro1/pop2/G7/G7_r2|metro1/dc1/dc/dc|0", - "metro5/pop1/G2/G2_r2|metro5/dc1/dc/dc|0", - "metro1/pop2/G4/G4_r1|metro1/dc1/dc/dc|0" + "metro5/pop1/G2/G2_r2|metro5/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -60711,10 +60711,10 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro5/pop2/G3/G3_r2|metro5/pop2/G5/G5_r2|0", "metro2/pop2/G7/G7_r1|metro2/pop2/G7/G7_r2|0", - "metro1/pop1/G2/G2_r1|metro1/pop1/G3/G3_r3|0", - "metro5/pop1/G4/G4_r3|metro5/pop1/G7/G7_r1|0" + "metro5/pop1/G4/G4_r3|metro5/pop1/G7/G7_r1|0", + "metro5/pop2/G3/G3_r2|metro5/pop2/G5/G5_r2|0", + "metro1/pop1/G2/G2_r1|metro1/pop1/G3/G3_r3|0" ] }, "failure_trace": null, @@ -60939,10 +60939,10 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro2/pop1/G6/G6_r1|metro2/pop1/G6/G6_r2|0", - "metro1/pop1/G1/G1_r1|metro1/pop1/G1/G1_r3|0", "metro5/pop1/G3/G3_r3|metro5/pop1/G6/G6_r1|0", - "metro2/pop2/G3/G3_r1|metro2/pop2/G4/G4_r3|0" + "metro2/pop2/G3/G3_r1|metro2/pop2/G4/G4_r3|0", + "metro1/pop1/G1/G1_r1|metro1/pop1/G1/G1_r3|0", + "metro2/pop1/G6/G6_r1|metro2/pop1/G6/G6_r2|0" ] }, "failure_trace": null, @@ -61053,9 +61053,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro5/pop2/G7/G7_r1|metro5/dc1/dc/dc|0", "metro2/pop1/G7/G7_r2|metro2/dc1/dc/dc|0", - "metro2/pop2/G2/G2_r3|metro2/dc1/dc/dc|0" + "metro2/pop2/G2/G2_r3|metro2/dc1/dc/dc|0", + "metro5/pop2/G7/G7_r1|metro5/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -61178,9 +61178,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro2/pop2/G1/G1_r2|metro2/dc1/dc/dc|0", + "metro5/pop2/G1/G1_r1|metro5/dc1/dc/dc|0", "metro2/pop1/G6/G6_r1|metro2/dc1/dc/dc|0", - "metro5/pop2/G1/G1_r1|metro5/dc1/dc/dc|0" + "metro2/pop2/G1/G1_r2|metro2/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -61303,9 +61303,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro5/pop2/G4/G4_r2|metro5/dc1/dc/dc|0", "metro2/pop1/G6/G6_r2|metro2/dc1/dc/dc|0", - "metro5/pop2/G5/G5_r2|metro5/dc1/dc/dc|0" + "metro5/pop2/G5/G5_r2|metro5/dc1/dc/dc|0", + "metro5/pop2/G4/G4_r2|metro5/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -61425,8 +61425,8 @@ "excluded_nodes": [], "excluded_links": [ "metro2/pop1/G4/G4_r1|metro2/dc1/dc/dc|0", - "metro5/pop2/G3/G3_r1|metro5/dc1/dc/dc|0", - "metro5/pop1/G2/G2_r2|metro5/dc1/dc/dc|0" + "metro5/pop1/G2/G2_r2|metro5/dc1/dc/dc|0", + "metro5/pop2/G3/G3_r1|metro5/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -61545,8 +61545,8 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro1/pop1/G7/G7_r1|metro1/dc1/dc/dc|0", "metro5/pop1/G1/G1_r2|metro5/dc1/dc/dc|0", + "metro1/pop1/G7/G7_r1|metro1/dc1/dc/dc|0", "metro1/pop1/G2/G2_r1|metro1/dc1/dc/dc|0" ] }, @@ -61791,8 +61791,8 @@ "excluded_nodes": [], "excluded_links": [ "metro2/pop2/G7/G7_r1|metro2/dc1/dc/dc|0", - "metro2/pop1/G2/G2_r1|metro2/dc1/dc/dc|0", - "metro5/pop2/G7/G7_r2|metro5/dc1/dc/dc|0" + "metro5/pop2/G7/G7_r2|metro5/dc1/dc/dc|0", + "metro2/pop1/G2/G2_r1|metro2/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -61911,9 +61911,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro5/pop1/G6/G6_r1|metro5/dc1/dc/dc|0", + "metro2/pop1/G1/G1_r1|metro2/dc1/dc/dc|0", "metro1/pop2/G4/G4_r1|metro1/dc1/dc/dc|0", - "metro2/pop1/G1/G1_r1|metro2/dc1/dc/dc|0" + "metro5/pop1/G6/G6_r1|metro5/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -62032,9 +62032,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro1/pop1/G7/G7_r3|metro1/dc1/dc/dc|0", "metro2/pop2/G3/G3_r3|metro2/dc1/dc/dc|0", - "metro5/pop2/G4/G4_r2|metro5/dc1/dc/dc|0" + "metro5/pop2/G4/G4_r2|metro5/dc1/dc/dc|0", + "metro1/pop1/G7/G7_r3|metro1/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -62156,8 +62156,8 @@ "excluded_nodes": [], "excluded_links": [ "metro5/pop2/G4/G4_r3|metro5/dc1/dc/dc|0", - "metro1/pop1/G4/G4_r1|metro1/dc1/dc/dc|0", - "metro1/pop2/G5/G5_r2|metro1/dc1/dc/dc|0" + "metro1/pop2/G5/G5_r2|metro1/dc1/dc/dc|0", + "metro1/pop1/G4/G4_r1|metro1/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -62276,9 +62276,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro1/pop2/G5/G5_r3|metro1/dc1/dc/dc|0", + "metro2/pop1/G2/G2_r3|metro2/dc1/dc/dc|0", "metro2/pop2/G7/G7_r2|metro2/dc1/dc/dc|0", - "metro2/pop1/G2/G2_r3|metro2/dc1/dc/dc|0" + "metro1/pop2/G5/G5_r3|metro1/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -62399,9 +62399,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ + "metro1/pop1/G2/G2_r1|metro1/dc1/dc/dc|0", "metro2/pop1/G3/G3_r2|metro2/dc1/dc/dc|0", - "metro1/pop2/G6/G6_r1|metro1/dc1/dc/dc|0", - "metro1/pop1/G2/G2_r1|metro1/dc1/dc/dc|0" + "metro1/pop2/G6/G6_r1|metro1/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -62520,8 +62520,8 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro5/pop1/G7/G7_r2|metro5/dc1/dc/dc|0", "metro1/pop1/G4/G4_r1|metro1/dc1/dc/dc|0", + "metro5/pop1/G7/G7_r2|metro5/dc1/dc/dc|0", "metro2/pop1/G7/G7_r3|metro2/dc1/dc/dc|0" ] }, @@ -62641,8 +62641,8 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro2/pop1/G6/G6_r1|metro2/dc1/dc/dc|0", "metro5/pop1/G3/G3_r1|metro5/dc1/dc/dc|0", + "metro2/pop1/G6/G6_r1|metro2/dc1/dc/dc|0", "metro5/pop1/G5/G5_r2|metro5/dc1/dc/dc|0" ] }, @@ -62760,9 +62760,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro5/pop1/G3/G3_r3|metro5/dc1/dc/dc|0", "metro5/pop1/G3/G3_r1|metro5/dc1/dc/dc|0", - "metro2/pop2/G2/G2_r3|metro2/dc1/dc/dc|0" + "metro2/pop2/G2/G2_r3|metro2/dc1/dc/dc|0", + "metro5/pop1/G3/G3_r3|metro5/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -62883,9 +62883,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro5/pop1/G2/G2_r2|metro5/dc1/dc/dc|0", "metro5/pop1/G1/G1_r2|metro5/dc1/dc/dc|0", - "metro2/pop2/G5/G5_r1|metro2/dc1/dc/dc|0" + "metro2/pop2/G5/G5_r1|metro2/dc1/dc/dc|0", + "metro5/pop1/G2/G2_r2|metro5/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -63006,9 +63006,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro5/pop1/G4/G4_r1|metro5/dc1/dc/dc|0", + "metro5/pop1/G5/G5_r1|metro5/dc1/dc/dc|0", "metro2/pop1/G4/G4_r1|metro2/dc1/dc/dc|0", - "metro5/pop1/G5/G5_r1|metro5/dc1/dc/dc|0" + "metro5/pop1/G4/G4_r1|metro5/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -63129,9 +63129,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ + "metro5/pop2/G2/G2_r1|metro5/dc1/dc/dc|0", "metro5/pop2/G3/G3_r2|metro5/dc1/dc/dc|0", - "metro2/pop2/G6/G6_r2|metro2/dc1/dc/dc|0", - "metro5/pop2/G2/G2_r1|metro5/dc1/dc/dc|0" + "metro2/pop2/G6/G6_r2|metro2/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -63249,9 +63249,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ + "metro2/pop1/G6/G6_r3|metro2/dc1/dc/dc|0", "metro5/pop1/G6/G6_r1|metro5/dc1/dc/dc|0", - "metro5/pop1/G1/G1_r1|metro5/dc1/dc/dc|0", - "metro2/pop1/G6/G6_r3|metro2/dc1/dc/dc|0" + "metro5/pop1/G1/G1_r1|metro5/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -63483,8 +63483,8 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro1/pop2/G1/G1_r1|metro1/dc1/dc/dc|0", "metro1/pop2/G1/G1_r3|metro1/dc1/dc/dc|0", + "metro1/pop2/G1/G1_r1|metro1/dc1/dc/dc|0", "metro1/pop2/G4/G4_r2|metro1/dc1/dc/dc|0" ] }, @@ -63598,9 +63598,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ + "metro5/pop2/G6/G6_r1|metro5/pop2/G6/G6_r3|0", "metro1/pop1/G3/G3_r1|metro1/pop1/G3/G3_r2|0", "metro2/pop1/G4/G4_r1|metro2/pop1/G4/G4_r2|0", - "metro5/pop2/G6/G6_r1|metro5/pop2/G6/G6_r3|0", "metro2/pop2/G2/G2_r2|metro2/pop2/G7/G7_r2|0" ] }, @@ -63713,9 +63713,9 @@ "excluded_nodes": [], "excluded_links": [ "metro1/pop1/G2/G2_r3|metro1/pop1/G5/G5_r1|0", + "metro5/pop2/G2/G2_r2|metro5/pop2/G2/G2_r3|0", "metro2/pop2/G4/G4_r1|metro2/pop2/G4/G4_r3|0", - "metro2/pop1/G7/G7_r1|metro2/pop1/G7/G7_r3|0", - "metro5/pop2/G2/G2_r2|metro5/pop2/G2/G2_r3|0" + "metro2/pop1/G7/G7_r1|metro2/pop1/G7/G7_r3|0" ] }, "failure_trace": null, @@ -63826,8 +63826,8 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro5/pop2/G6/G6_r1|metro5/dc1/dc/dc|0", "metro2/pop1/G2/G2_r1|metro2/dc1/dc/dc|0", + "metro5/pop2/G6/G6_r1|metro5/dc1/dc/dc|0", "metro2/pop1/G4/G4_r3|metro2/dc1/dc/dc|0" ] }, @@ -64068,8 +64068,8 @@ "excluded_nodes": [], "excluded_links": [ "metro2/pop1/G6/G6_r3|metro2/dc1/dc/dc|0", - "metro2/pop1/G2/G2_r1|metro2/dc1/dc/dc|0", - "metro1/pop2/G3/G3_r1|metro1/dc1/dc/dc|0" + "metro1/pop2/G3/G3_r1|metro1/dc1/dc/dc|0", + "metro2/pop1/G2/G2_r1|metro2/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -64188,8 +64188,8 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro2/pop1/G4/G4_r1|metro2/dc1/dc/dc|0", "metro2/pop1/G5/G5_r2|metro2/dc1/dc/dc|0", + "metro2/pop1/G4/G4_r1|metro2/dc1/dc/dc|0", "metro1/pop2/G4/G4_r2|metro1/dc1/dc/dc|0" ] }, @@ -64769,10 +64769,10 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro5/pop2/G3/G3_r1|metro5/pop2/G7/G7_r3|0", "metro5/pop1/G4/G4_r1|metro5/pop1/G5/G5_r3|0", "metro5/pop2/G5/G5_r2|metro5/pop2/G5/G5_r3|0", - "metro2/pop2/G2/G2_r2|metro2/pop2/G7/G7_r2|0" + "metro2/pop2/G2/G2_r2|metro2/pop2/G7/G7_r2|0", + "metro5/pop2/G3/G3_r1|metro5/pop2/G7/G7_r3|0" ] }, "failure_trace": null, @@ -64883,9 +64883,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro1/pop2/G6/G6_r1|metro1/dc1/dc/dc|0", "metro2/pop2/G6/G6_r2|metro2/dc1/dc/dc|0", - "metro5/pop2/G4/G4_r1|metro5/dc1/dc/dc|0" + "metro5/pop2/G4/G4_r1|metro5/dc1/dc/dc|0", + "metro1/pop2/G6/G6_r1|metro1/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -65004,8 +65004,8 @@ "excluded_nodes": [], "excluded_links": [ "metro1/pop2/G3/G3_r1|metro1/dc1/dc/dc|0", - "metro5/pop2/G3/G3_r1|metro5/dc1/dc/dc|0", - "metro5/pop2/G6/G6_r2|metro5/dc1/dc/dc|0" + "metro5/pop2/G6/G6_r2|metro5/dc1/dc/dc|0", + "metro5/pop2/G3/G3_r1|metro5/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -65233,9 +65233,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ + "metro2/pop1/G2/G2_r3|metro2/dc1/dc/dc|0", "metro1/pop2/G6/G6_r2|metro1/dc1/dc/dc|0", - "metro2/pop1/G1/G1_r2|metro2/dc1/dc/dc|0", - "metro2/pop1/G2/G2_r3|metro2/dc1/dc/dc|0" + "metro2/pop1/G1/G1_r2|metro2/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -65351,10 +65351,10 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro5/pop2/G3/G3_r2|metro5/pop2/G5/G5_r2|0", - "metro2/pop1/G6/G6_r1|metro2/pop1/G7/G7_r3|0", "metro2/pop1/G4/G4_r1|metro2/pop1/G4/G4_r2|0", - "metro1/pop1/G2/G2_r2|metro1/pop1/G4/G4_r2|0" + "metro1/pop1/G2/G2_r2|metro1/pop1/G4/G4_r2|0", + "metro5/pop2/G3/G3_r2|metro5/pop2/G5/G5_r2|0", + "metro2/pop1/G6/G6_r1|metro2/pop1/G7/G7_r3|0" ] }, "failure_trace": null, @@ -65466,9 +65466,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro5/pop1/G4/G4_r3|metro5/dc1/dc/dc|0", + "metro5/pop1/G5/G5_r1|metro5/dc1/dc/dc|0", "metro1/pop2/G3/G3_r2|metro1/dc1/dc/dc|0", - "metro5/pop1/G5/G5_r1|metro5/dc1/dc/dc|0" + "metro5/pop1/G4/G4_r3|metro5/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -65704,9 +65704,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro2/pop2/G5/G5_r3|metro2/dc1/dc/dc|0", + "metro2/pop2/G6/G6_r2|metro2/dc1/dc/dc|0", "metro1/pop1/G2/G2_r1|metro1/dc1/dc/dc|0", - "metro2/pop2/G6/G6_r2|metro2/dc1/dc/dc|0" + "metro2/pop2/G5/G5_r3|metro2/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -65827,9 +65827,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro2/pop2/G7/G7_r1|metro2/dc1/dc/dc|0", "metro1/pop2/G3/G3_r3|metro1/dc1/dc/dc|0", - "metro5/pop2/G7/G7_r2|metro5/dc1/dc/dc|0" + "metro5/pop2/G7/G7_r2|metro5/dc1/dc/dc|0", + "metro2/pop2/G7/G7_r1|metro2/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -65947,8 +65947,8 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro5/pop2/G3/G3_r2|metro5/dc1/dc/dc|0", "metro2/pop1/G6/G6_r2|metro2/dc1/dc/dc|0", + "metro5/pop2/G3/G3_r2|metro5/dc1/dc/dc|0", "metro2/pop2/G4/G4_r2|metro2/dc1/dc/dc|0" ] }, @@ -66072,9 +66072,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro1/pop1/G4/G4_r1|metro1/dc1/dc/dc|0", "metro1/pop2/G3/G3_r3|metro1/dc1/dc/dc|0", - "metro5/pop1/G5/G5_r2|metro5/dc1/dc/dc|0" + "metro5/pop1/G5/G5_r2|metro5/dc1/dc/dc|0", + "metro1/pop1/G4/G4_r1|metro1/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -66193,10 +66193,10 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro1/pop1/G1/G1_r2|metro1/pop1/G6/G6_r2|0", - "metro2/pop2/G2/G2_r1|metro2/pop2/G2/G2_r2|0", + "metro1/pop1/G4/G4_r2|metro1/pop1/G6/G6_r2|0", "metro5/pop2/G2/G2_r2|metro5/pop2/G4/G4_r2|0", - "metro1/pop1/G4/G4_r2|metro1/pop1/G6/G6_r2|0" + "metro2/pop2/G2/G2_r1|metro2/pop2/G2/G2_r2|0", + "metro1/pop1/G1/G1_r2|metro1/pop1/G6/G6_r2|0" ] }, "failure_trace": null, @@ -66307,9 +66307,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro1/pop2/G1/G1_r1|metro1/dc1/dc/dc|0", + "metro2/pop2/G3/G3_r1|metro2/dc1/dc/dc|0", "metro2/pop1/G7/G7_r1|metro2/dc1/dc/dc|0", - "metro2/pop2/G3/G3_r1|metro2/dc1/dc/dc|0" + "metro1/pop2/G1/G1_r1|metro1/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -66432,9 +66432,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro1/pop2/G1/G1_r2|metro1/dc1/dc/dc|0", "metro1/pop2/G2/G2_r3|metro1/dc1/dc/dc|0", - "metro2/pop2/G4/G4_r1|metro2/dc1/dc/dc|0" + "metro2/pop2/G4/G4_r1|metro2/dc1/dc/dc|0", + "metro1/pop2/G1/G1_r2|metro1/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -66552,8 +66552,8 @@ "excluded_nodes": [], "excluded_links": [ "metro5/pop2/G5/G5_r1|metro5/dc1/dc/dc|0", - "metro2/pop2/G5/G5_r3|metro2/dc1/dc/dc|0", - "metro2/pop1/G7/G7_r1|metro2/dc1/dc/dc|0" + "metro2/pop1/G7/G7_r1|metro2/dc1/dc/dc|0", + "metro2/pop2/G5/G5_r3|metro2/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -66677,9 +66677,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro5/pop1/G3/G3_r3|metro5/dc1/dc/dc|0", + "metro1/pop1/G6/G6_r1|metro1/dc1/dc/dc|0", "metro5/pop2/G2/G2_r1|metro5/dc1/dc/dc|0", - "metro1/pop1/G6/G6_r1|metro1/dc1/dc/dc|0" + "metro5/pop1/G3/G3_r3|metro5/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -66798,10 +66798,10 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro2/pop1/G1/G1_r2|metro2/pop1/G3/G3_r2|0", - "metro5/pop2/G5/G5_r1|metro5/pop2/G5/G5_r2|0", + "metro1/pop2/G1/G1_r2|metro1/pop2/G6/G6_r2|0", "metro5/pop1/G2/G2_r2|metro5/pop1/G7/G7_r2|0", - "metro1/pop2/G1/G1_r2|metro1/pop2/G6/G6_r2|0" + "metro5/pop2/G5/G5_r1|metro5/pop2/G5/G5_r2|0", + "metro2/pop1/G1/G1_r2|metro2/pop1/G3/G3_r2|0" ] }, "failure_trace": null, @@ -67035,9 +67035,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro1/pop2/G6/G6_r2|metro1/dc1/dc/dc|0", + "metro2/pop1/G4/G4_r1|metro2/dc1/dc/dc|0", "metro2/pop1/G2/G2_r2|metro2/dc1/dc/dc|0", - "metro2/pop1/G4/G4_r1|metro2/dc1/dc/dc|0" + "metro1/pop2/G6/G6_r2|metro1/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -67153,10 +67153,10 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro5/pop1/G4/G4_r1|metro5/pop1/G4/G4_r3|0", - "metro1/pop1/G1/G1_r2|metro1/pop1/G1/G1_r3|0", + "metro2/pop2/G5/G5_r1|metro2/pop2/G5/G5_r3|0", "metro1/pop2/G1/G1_r2|metro1/pop2/G1/G1_r3|0", - "metro2/pop2/G5/G5_r1|metro2/pop2/G5/G5_r3|0" + "metro1/pop1/G1/G1_r2|metro1/pop1/G1/G1_r3|0", + "metro5/pop1/G4/G4_r1|metro5/pop1/G4/G4_r3|0" ] }, "failure_trace": null, @@ -67268,8 +67268,8 @@ "excluded_nodes": [], "excluded_links": [ "metro2/pop1/G2/G2_r3|metro2/dc1/dc/dc|0", - "metro5/pop2/G1/G1_r2|metro5/dc1/dc/dc|0", - "metro1/pop2/G5/G5_r2|metro1/dc1/dc/dc|0" + "metro1/pop2/G5/G5_r2|metro1/dc1/dc/dc|0", + "metro5/pop2/G1/G1_r2|metro5/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -67500,9 +67500,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro1/pop2/G5/G5_r3|metro1/dc1/dc/dc|0", + "metro5/pop2/G5/G5_r2|metro5/dc1/dc/dc|0", "metro2/pop2/G3/G3_r3|metro2/dc1/dc/dc|0", - "metro5/pop2/G5/G5_r2|metro5/dc1/dc/dc|0" + "metro1/pop2/G5/G5_r3|metro1/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -67621,8 +67621,8 @@ "excluded_nodes": [], "excluded_links": [ "metro1/pop2/G4/G4_r3|metro1/dc1/dc/dc|0", - "metro1/pop2/G2/G2_r1|metro1/dc1/dc/dc|0", - "metro5/pop2/G7/G7_r3|metro5/dc1/dc/dc|0" + "metro5/pop2/G7/G7_r3|metro5/dc1/dc/dc|0", + "metro1/pop2/G2/G2_r1|metro1/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -67737,10 +67737,10 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro2/pop1/G1/G1_r1|metro2/pop1/G1/G1_r3|0", - "metro1/pop1/G7/G7_r1|metro1/pop1/G7/G7_r2|0", + "metro2/pop1/G2/G2_r1|metro2/pop1/G3/G3_r3|0", "metro2/pop2/G2/G2_r1|metro2/pop2/G6/G6_r3|0", - "metro2/pop1/G2/G2_r1|metro2/pop1/G3/G3_r3|0" + "metro2/pop1/G1/G1_r1|metro2/pop1/G1/G1_r3|0", + "metro1/pop1/G7/G7_r1|metro1/pop1/G7/G7_r2|0" ] }, "failure_trace": null, @@ -67851,9 +67851,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ + "metro1/pop2/G5/G5_r2|metro1/dc1/dc/dc|0", "metro1/pop1/G2/G2_r2|metro1/dc1/dc/dc|0", - "metro2/pop2/G4/G4_r3|metro2/dc1/dc/dc|0", - "metro1/pop2/G5/G5_r2|metro1/dc1/dc/dc|0" + "metro2/pop2/G4/G4_r3|metro2/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -67974,9 +67974,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro2/pop2/G2/G2_r1|metro2/pop2/G6/G6_r3|0", - "metro1/pop1/G2/G2_r1|metro1/pop1/G2/G2_r3|0", "metro5/pop1/G2/G2_r2|metro5/pop1/G7/G7_r2|0", + "metro1/pop1/G2/G2_r1|metro1/pop1/G2/G2_r3|0", + "metro2/pop2/G2/G2_r1|metro2/pop2/G6/G6_r3|0", "metro5/pop1/G2/G2_r1|metro5/pop1/G3/G3_r3|0" ] }, @@ -68089,8 +68089,8 @@ "excluded_nodes": [], "excluded_links": [ "metro1/pop1/G3/G3_r1|metro1/dc1/dc/dc|0", - "metro2/pop2/G6/G6_r1|metro2/dc1/dc/dc|0", - "metro2/pop2/G5/G5_r1|metro2/dc1/dc/dc|0" + "metro2/pop2/G5/G5_r1|metro2/dc1/dc/dc|0", + "metro2/pop2/G6/G6_r1|metro2/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -68211,9 +68211,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro1/pop1/G7/G7_r2|metro1/dc1/dc/dc|0", + "metro2/pop2/G3/G3_r1|metro2/dc1/dc/dc|0", "metro2/pop2/G6/G6_r1|metro2/dc1/dc/dc|0", - "metro2/pop2/G3/G3_r1|metro2/dc1/dc/dc|0" + "metro1/pop1/G7/G7_r2|metro1/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -68456,9 +68456,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro5/pop2/G1/G1_r2|metro5/dc1/dc/dc|0", + "metro5/pop1/G5/G5_r1|metro5/dc1/dc/dc|0", "metro5/pop1/G7/G7_r1|metro5/dc1/dc/dc|0", - "metro5/pop1/G5/G5_r1|metro5/dc1/dc/dc|0" + "metro5/pop2/G1/G1_r2|metro5/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -68575,10 +68575,10 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro5/pop1/G3/G3_r1|metro5/pop1/G3/G3_r2|0", - "metro2/pop2/G2/G2_r3|metro2/pop2/G5/G5_r1|0", + "metro5/pop1/G3/G3_r1|metro5/pop1/G3/G3_r3|0", "metro2/pop2/G3/G3_r1|metro2/pop2/G4/G4_r3|0", - "metro5/pop1/G3/G3_r1|metro5/pop1/G3/G3_r3|0" + "metro2/pop2/G2/G2_r3|metro2/pop2/G5/G5_r1|0", + "metro5/pop1/G3/G3_r1|metro5/pop1/G3/G3_r2|0" ] }, "failure_trace": null, @@ -68802,9 +68802,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro5/pop2/G6/G6_r3|metro5/dc1/dc/dc|0", "metro5/pop1/G5/G5_r3|metro5/dc1/dc/dc|0", - "metro5/pop1/G5/G5_r2|metro5/dc1/dc/dc|0" + "metro5/pop1/G5/G5_r2|metro5/dc1/dc/dc|0", + "metro5/pop2/G6/G6_r3|metro5/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -68921,10 +68921,10 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro2/pop2/G3/G3_r3|metro2/pop2/G6/G6_r1|0", - "metro5/pop1/G1/G1_r1|metro5/pop1/G2/G2_r3|0", + "metro2/pop1/G2/G2_r1|metro2/pop1/G2/G2_r2|0", "metro2/pop1/G2/G2_r1|metro2/pop1/G6/G6_r3|0", - "metro2/pop1/G2/G2_r1|metro2/pop1/G2/G2_r2|0" + "metro2/pop2/G3/G3_r3|metro2/pop2/G6/G6_r1|0", + "metro5/pop1/G1/G1_r1|metro5/pop1/G2/G2_r3|0" ] }, "failure_trace": null, @@ -69035,9 +69035,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro2/pop1/G3/G3_r2|metro2/dc1/dc/dc|0", + "metro5/pop1/G3/G3_r1|metro5/dc1/dc/dc|0", "metro5/pop1/G1/G1_r2|metro5/dc1/dc/dc|0", - "metro5/pop1/G3/G3_r1|metro5/dc1/dc/dc|0" + "metro2/pop1/G3/G3_r2|metro2/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -69154,9 +69154,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ + "metro1/pop2/G2/G2_r2|metro1/dc1/dc/dc|0", "metro5/pop2/G3/G3_r2|metro5/dc1/dc/dc|0", - "metro2/pop2/G6/G6_r2|metro2/dc1/dc/dc|0", - "metro1/pop2/G2/G2_r2|metro1/dc1/dc/dc|0" + "metro2/pop2/G6/G6_r2|metro2/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -69274,9 +69274,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro5/pop1/G4/G4_r1|metro5/dc1/dc/dc|0", "metro5/pop2/G5/G5_r2|metro5/dc1/dc/dc|0", - "metro5/pop2/G6/G6_r2|metro5/dc1/dc/dc|0" + "metro5/pop2/G6/G6_r2|metro5/dc1/dc/dc|0", + "metro5/pop1/G4/G4_r1|metro5/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -69394,8 +69394,8 @@ "excluded_nodes": [], "excluded_links": [ "metro2/pop2/G3/G3_r1|metro2/pop2/G3/G3_r2|0", - "metro5/pop2/G5/G5_r1|metro5/pop2/G5/G5_r3|0", "metro5/pop2/G1/G1_r1|metro5/pop2/G1/G1_r3|0", + "metro5/pop2/G5/G5_r1|metro5/pop2/G5/G5_r3|0", "metro1/pop2/G3/G3_r1|metro1/pop2/G3/G3_r2|0" ] }, @@ -69507,9 +69507,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ + "metro5/pop1/G5/G5_r3|metro5/dc1/dc/dc|0", "metro1/pop1/G5/G5_r3|metro1/dc1/dc/dc|0", - "metro5/pop1/G1/G1_r1|metro5/dc1/dc/dc|0", - "metro5/pop1/G5/G5_r3|metro5/dc1/dc/dc|0" + "metro5/pop1/G1/G1_r1|metro5/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -69628,9 +69628,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ + "metro2/pop1/G5/G5_r2|metro2/dc1/dc/dc|0", "metro5/pop2/G5/G5_r1|metro5/dc1/dc/dc|0", - "metro5/pop2/G3/G3_r3|metro5/dc1/dc/dc|0", - "metro2/pop1/G5/G5_r2|metro2/dc1/dc/dc|0" + "metro5/pop2/G3/G3_r3|metro5/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -69750,10 +69750,10 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro1/pop1/G3/G3_r1|metro1/pop1/G7/G7_r3|0", + "metro1/pop2/G7/G7_r2|metro1/pop2/G7/G7_r3|0", "metro2/pop2/G5/G5_r2|metro2/pop2/G7/G7_r2|0", "metro5/pop1/G4/G4_r1|metro5/pop1/G4/G4_r2|0", - "metro1/pop2/G7/G7_r2|metro1/pop2/G7/G7_r3|0" + "metro1/pop1/G3/G3_r1|metro1/pop1/G7/G7_r3|0" ] }, "failure_trace": null, @@ -69864,9 +69864,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro1/pop1/G2/G2_r1|metro1/dc1/dc/dc|0", "metro1/pop2/G5/G5_r1|metro1/dc1/dc/dc|0", - "metro5/pop2/G5/G5_r2|metro5/dc1/dc/dc|0" + "metro5/pop2/G5/G5_r2|metro5/dc1/dc/dc|0", + "metro1/pop1/G2/G2_r1|metro1/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -69987,10 +69987,10 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro1/pop1/G5/G5_r1|metro1/pop1/G5/G5_r3|0", "metro5/pop2/G2/G2_r2|metro5/pop2/G4/G4_r2|0", - "metro2/pop2/G2/G2_r1|metro2/pop2/G3/G3_r3|0", - "metro1/pop2/G3/G3_r3|metro1/pop2/G6/G6_r1|0" + "metro1/pop2/G3/G3_r3|metro1/pop2/G6/G6_r1|0", + "metro1/pop1/G5/G5_r1|metro1/pop1/G5/G5_r3|0", + "metro2/pop2/G2/G2_r1|metro2/pop2/G3/G3_r3|0" ] }, "failure_trace": null, @@ -70102,9 +70102,9 @@ "excluded_nodes": [], "excluded_links": [ "metro2/pop1/G1/G1_r2|metro2/pop1/G1/G1_r3|0", - "metro1/pop2/G4/G4_r2|metro1/pop2/G6/G6_r2|0", "metro5/pop2/G1/G1_r1|metro5/pop2/G1/G1_r3|0", - "metro1/pop1/G4/G4_r1|metro1/pop1/G4/G4_r3|0" + "metro1/pop1/G4/G4_r1|metro1/pop1/G4/G4_r3|0", + "metro1/pop2/G4/G4_r2|metro1/pop2/G6/G6_r2|0" ] }, "failure_trace": null, @@ -70215,9 +70215,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ + "metro5/pop1/G7/G7_r3|metro5/dc1/dc/dc|0", "metro1/pop1/G5/G5_r3|metro1/dc1/dc/dc|0", - "metro2/pop1/G4/G4_r2|metro2/dc1/dc/dc|0", - "metro5/pop1/G7/G7_r3|metro5/dc1/dc/dc|0" + "metro2/pop1/G4/G4_r2|metro2/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -70336,9 +70336,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ + "metro2/pop2/G4/G4_r1|metro2/pop2/G4/G4_r2|0", "metro1/pop1/G3/G3_r1|metro1/pop1/G7/G7_r3|0", "metro2/pop2/G3/G3_r1|metro2/pop2/G4/G4_r3|0", - "metro2/pop2/G4/G4_r1|metro2/pop2/G4/G4_r2|0", "metro1/pop1/G4/G4_r1|metro1/pop1/G4/G4_r3|0" ] }, @@ -70452,7 +70452,7 @@ "include_used_edges": false, "base_demands": [ { - "id": "^metro1/dc1/.*|^metro5/dc1/.*|CJmcSwIhT32WASdOaMj0aA", + "id": "^metro1/dc1/.*|^metro5/dc1/.*|nGBVS0xWSu-UEzP8mmdrCQ", "source": "^metro1/dc1/.*", "target": "^metro5/dc1/.*", "volume": 15000.0, @@ -70466,7 +70466,7 @@ } }, { - "id": "^metro5/dc1/.*|^metro1/dc1/.*|Zy-Kob8HQ-Gux3J47QBc0w", + "id": "^metro5/dc1/.*|^metro1/dc1/.*|djxJEp6rTdWF15bEPFRsBQ", "source": "^metro5/dc1/.*", "target": "^metro1/dc1/.*", "volume": 15000.0, @@ -70480,7 +70480,7 @@ } }, { - "id": "^metro2/dc1/.*|^metro5/dc1/.*|ZNA6idheQLWDy1zHJx-vyw", + "id": "^metro2/dc1/.*|^metro5/dc1/.*|6gWxZjcjTEG0W8GX7HqVEQ", "source": "^metro2/dc1/.*", "target": "^metro5/dc1/.*", "volume": 15000.0, @@ -70494,7 +70494,7 @@ } }, { - "id": "^metro5/dc1/.*|^metro2/dc1/.*|z-C0R5hLS7qWQ4jko2oYJQ", + "id": "^metro5/dc1/.*|^metro2/dc1/.*|T_L2Eta6SUyKk65B-4bdMw", "source": "^metro5/dc1/.*", "target": "^metro2/dc1/.*", "volume": 15000.0, @@ -70508,7 +70508,7 @@ } }, { - "id": "^metro1/dc1/.*|^metro2/dc1/.*|DabONeduSc69oYW_N27bMQ", + "id": "^metro1/dc1/.*|^metro2/dc1/.*|zMuNAEMfQe2H8mNe-N45Sw", "source": "^metro1/dc1/.*", "target": "^metro2/dc1/.*", "volume": 15000.0, @@ -70522,7 +70522,7 @@ } }, { - "id": "^metro2/dc1/.*|^metro1/dc1/.*|yFXrai-hRW-ls_d4-Nadvg", + "id": "^metro2/dc1/.*|^metro1/dc1/.*|IbUPXPw4QkSQ7LAYOoD8cQ", "source": "^metro2/dc1/.*", "target": "^metro1/dc1/.*", "volume": 15000.0, @@ -70543,7 +70543,7 @@ }, "cost_power": { "metadata": { - "duration_sec": 0.0027451515197753906 + "duration_sec": 0.002512216567993164 }, "data": { "context": { @@ -70820,7 +70820,7 @@ "demands": { "baseline_traffic_matrix": [ { - "id": "^metro1/dc1/.*|^metro5/dc1/.*|CJmcSwIhT32WASdOaMj0aA", + "id": "^metro1/dc1/.*|^metro5/dc1/.*|nGBVS0xWSu-UEzP8mmdrCQ", "source": "^metro1/dc1/.*", "target": "^metro5/dc1/.*", "volume": 15000.0, @@ -70834,7 +70834,7 @@ } }, { - "id": "^metro5/dc1/.*|^metro1/dc1/.*|Zy-Kob8HQ-Gux3J47QBc0w", + "id": "^metro5/dc1/.*|^metro1/dc1/.*|djxJEp6rTdWF15bEPFRsBQ", "source": "^metro5/dc1/.*", "target": "^metro1/dc1/.*", "volume": 15000.0, @@ -70848,7 +70848,7 @@ } }, { - "id": "^metro2/dc1/.*|^metro5/dc1/.*|ZNA6idheQLWDy1zHJx-vyw", + "id": "^metro2/dc1/.*|^metro5/dc1/.*|6gWxZjcjTEG0W8GX7HqVEQ", "source": "^metro2/dc1/.*", "target": "^metro5/dc1/.*", "volume": 15000.0, @@ -70862,7 +70862,7 @@ } }, { - "id": "^metro5/dc1/.*|^metro2/dc1/.*|z-C0R5hLS7qWQ4jko2oYJQ", + "id": "^metro5/dc1/.*|^metro2/dc1/.*|T_L2Eta6SUyKk65B-4bdMw", "source": "^metro5/dc1/.*", "target": "^metro2/dc1/.*", "volume": 15000.0, @@ -70876,7 +70876,7 @@ } }, { - "id": "^metro1/dc1/.*|^metro2/dc1/.*|DabONeduSc69oYW_N27bMQ", + "id": "^metro1/dc1/.*|^metro2/dc1/.*|zMuNAEMfQe2H8mNe-N45Sw", "source": "^metro1/dc1/.*", "target": "^metro2/dc1/.*", "volume": 15000.0, @@ -70890,7 +70890,7 @@ } }, { - "id": "^metro2/dc1/.*|^metro1/dc1/.*|yFXrai-hRW-ls_d4-Nadvg", + "id": "^metro2/dc1/.*|^metro1/dc1/.*|IbUPXPw4QkSQ7LAYOoD8cQ", "source": "^metro2/dc1/.*", "target": "^metro1/dc1/.*", "volume": 15000.0, @@ -70906,4 +70906,4 @@ ] } } -} \ No newline at end of file +} diff --git a/tests/data/scenarios/small_dragonfly/small_dragonfly__seed11/small_dragonfly__seed11_scenario.yml b/tests/data/scenarios/small_dragonfly/small_dragonfly__seed11/small_dragonfly__seed11_scenario.yml index 3a9abbd..8843e23 100644 --- a/tests/data/scenarios/small_dragonfly/small_dragonfly__seed11/small_dragonfly__seed11_scenario.yml +++ b/tests/data/scenarios/small_dragonfly/small_dragonfly__seed11/small_dragonfly__seed11_scenario.yml @@ -378,6 +378,7 @@ network: - attr: role op: == value: leaf + logic: or target: path: metro1/pop2 match: *id001 @@ -456,9 +457,11 @@ network: source_metro: new-york-jersey-city-newark target_metro: washington-arlington target_capacity: 12800.0 - site_edge: metro1/pop1|metro2/pop1|inter_metro:1-2:1-1 - adjacency_id: inter_metro:1-2 + site_edge: metro1/pop1|metro2/pop1|inter_metro:1-2:path0:1-1 + adjacency_id: inter_metro:1-2:path0 distance_km: 412 + euclidean_km: 329.80891925266354 + detour_ratio: 1.2484239409074376 hardware: source: component: 800G-ZR+ @@ -466,7 +469,7 @@ network: target: component: 800G-ZR+ count: 1.0 - risk_groups: &id005 + risk_groups: - corridor_risk_columbus_new-york-jersey-city-newark - corridor_risk_new-york-jersey-city-newark_washington-arlington - source: @@ -491,9 +494,11 @@ network: source_metro: new-york-jersey-city-newark target_metro: columbus target_capacity: 12800.0 - site_edge: metro1/pop1|metro5/pop1|inter_metro:1-5:1-1 - adjacency_id: inter_metro:1-5 + site_edge: metro1/pop1|metro5/pop1|inter_metro:1-5:path0:1-1 + adjacency_id: inter_metro:1-5:path0 distance_km: 977 + euclidean_km: 747.1357017294783 + detour_ratio: 1.3070646931065415 hardware: source: component: 800G-ZR+ @@ -501,7 +506,7 @@ network: target: component: 800G-ZR+ count: 1.0 - risk_groups: &id006 + risk_groups: - corridor_risk_chicago_washington-arlington - corridor_risk_columbus_new-york-jersey-city-newark - corridor_risk_columbus_washington-arlington @@ -530,7 +535,6 @@ network: target: component: 800G-ZR+ count: 2.0 - # Inter-metro corridors - source: path: metro1/pop2 match: *id003 @@ -545,9 +549,11 @@ network: source_metro: new-york-jersey-city-newark target_metro: washington-arlington target_capacity: 12800.0 - site_edge: metro1/pop2|metro2/pop2|inter_metro:1-2:2-2 - adjacency_id: inter_metro:1-2 + site_edge: metro1/pop2|metro2/pop2|inter_metro:1-2:path0:2-2 + adjacency_id: inter_metro:1-2:path0 distance_km: 412 + euclidean_km: 329.80891925266354 + detour_ratio: 1.2484239409074376 hardware: source: component: 800G-ZR+ @@ -555,7 +561,9 @@ network: target: component: 800G-ZR+ count: 1.0 - risk_groups: *id005 + risk_groups: + - corridor_risk_columbus_new-york-jersey-city-newark + - corridor_risk_new-york-jersey-city-newark_washington-arlington - source: path: metro1/pop2 match: *id004 @@ -570,9 +578,11 @@ network: source_metro: new-york-jersey-city-newark target_metro: columbus target_capacity: 12800.0 - site_edge: metro1/pop2|metro5/pop2|inter_metro:1-5:2-2 - adjacency_id: inter_metro:1-5 + site_edge: metro1/pop2|metro5/pop2|inter_metro:1-5:path0:2-2 + adjacency_id: inter_metro:1-5:path0 distance_km: 977 + euclidean_km: 747.1357017294783 + detour_ratio: 1.3070646931065415 hardware: source: component: 800G-ZR+ @@ -580,10 +590,14 @@ network: target: component: 800G-ZR+ count: 1.0 - risk_groups: *id006 + risk_groups: + - corridor_risk_chicago_washington-arlington + - corridor_risk_columbus_new-york-jersey-city-newark + - corridor_risk_columbus_washington-arlington + - corridor_risk_new-york-jersey-city-newark_washington-arlington - source: path: metro2/pop1 - match: &id007 + match: &id005 conditions: - attr: role op: == @@ -591,9 +605,10 @@ network: - attr: role op: == value: leaf + logic: or target: path: metro2/pop2 - match: *id007 + match: *id005 pattern: one_to_one capacity: 1219.047619047619 cost: 103 @@ -614,7 +629,7 @@ network: count: 2.0 - source: path: metro2/pop1 - match: &id008 + match: &id006 conditions: - attr: role op: == @@ -628,7 +643,7 @@ network: logic: or target: path: metro2/dc1 - match: *id008 + match: *id006 pattern: one_to_one capacity: 1828.5714285714287 cost: 1 @@ -649,7 +664,7 @@ network: count: 3.0 - source: path: metro2/pop1 - match: &id009 + match: &id007 conditions: - attr: role op: == @@ -660,7 +675,7 @@ network: logic: or target: path: metro3/pop1 - match: *id009 + match: *id007 pattern: one_to_one capacity: 152.38095238095238 cost: 1261 @@ -669,9 +684,11 @@ network: source_metro: washington-arlington target_metro: chicago target_capacity: 3200.0 - site_edge: metro2/pop1|metro3/pop1|inter_metro:2-3:1-1 - adjacency_id: inter_metro:2-3 + site_edge: metro2/pop1|metro3/pop1|inter_metro:2-3:path0:1-1 + adjacency_id: inter_metro:2-3:path0 distance_km: 1261 + euclidean_km: 962.0849480451766 + detour_ratio: 1.3098725226374546 hardware: source: component: 800G-ZR+ @@ -679,13 +696,13 @@ network: target: component: 800G-ZR+ count: 1.0 - risk_groups: &id012 + risk_groups: - corridor_risk_chicago_washington-arlington - corridor_risk_columbus_new-york-jersey-city-newark - corridor_risk_columbus_washington-arlington - source: path: metro2/pop1 - match: &id010 + match: &id008 conditions: - attr: role op: == @@ -696,7 +713,7 @@ network: logic: or target: path: metro4/pop1 - match: *id010 + match: *id008 pattern: one_to_one capacity: 152.38095238095238 cost: 1216 @@ -705,9 +722,11 @@ network: source_metro: washington-arlington target_metro: atlanta target_capacity: 3200.0 - site_edge: metro2/pop1|metro4/pop1|inter_metro:2-4:1-1 - adjacency_id: inter_metro:2-4 + site_edge: metro2/pop1|metro4/pop1|inter_metro:2-4:path0:1-1 + adjacency_id: inter_metro:2-4:path0 distance_km: 1216 + euclidean_km: 861.267572704122 + detour_ratio: 1.4113975069243747 hardware: source: component: 800G-ZR+ @@ -715,11 +734,11 @@ network: target: component: 800G-ZR+ count: 1.0 - risk_groups: &id013 + risk_groups: - corridor_risk_atlanta_washington-arlington - source: path: metro2/pop1 - match: &id011 + match: &id009 conditions: - attr: role op: == @@ -730,7 +749,7 @@ network: logic: or target: path: metro5/pop1 - match: *id011 + match: *id009 pattern: one_to_one capacity: 609.5238095238095 cost: 733 @@ -739,9 +758,11 @@ network: source_metro: washington-arlington target_metro: columbus target_capacity: 12800.0 - site_edge: metro2/pop1|metro5/pop1|inter_metro:2-5:1-1 - adjacency_id: inter_metro:2-5 + site_edge: metro2/pop1|metro5/pop1|inter_metro:2-5:path0:1-1 + adjacency_id: inter_metro:2-5:path0 distance_km: 733 + euclidean_km: 507.67314955219973 + detour_ratio: 1.44331128980949 hardware: source: component: 800G-ZR+ @@ -749,16 +770,16 @@ network: target: component: 800G-ZR+ count: 1.0 - risk_groups: &id014 + risk_groups: - corridor_risk_chicago_washington-arlington - corridor_risk_columbus_new-york-jersey-city-newark - corridor_risk_columbus_washington-arlington - source: path: metro2/pop2 - match: *id008 + match: *id006 target: path: metro2/dc1 - match: *id008 + match: *id006 pattern: one_to_one capacity: 1828.5714285714287 cost: 103 @@ -779,10 +800,10 @@ network: count: 3.0 - source: path: metro2/pop2 - match: *id009 + match: *id007 target: path: metro3/pop2 - match: *id009 + match: *id007 pattern: one_to_one capacity: 152.38095238095238 cost: 1261 @@ -791,9 +812,11 @@ network: source_metro: washington-arlington target_metro: chicago target_capacity: 3200.0 - site_edge: metro2/pop2|metro3/pop2|inter_metro:2-3:2-2 - adjacency_id: inter_metro:2-3 + site_edge: metro2/pop2|metro3/pop2|inter_metro:2-3:path0:2-2 + adjacency_id: inter_metro:2-3:path0 distance_km: 1261 + euclidean_km: 962.0849480451766 + detour_ratio: 1.3098725226374546 hardware: source: component: 800G-ZR+ @@ -801,13 +824,16 @@ network: target: component: 800G-ZR+ count: 1.0 - risk_groups: *id012 + risk_groups: + - corridor_risk_chicago_washington-arlington + - corridor_risk_columbus_new-york-jersey-city-newark + - corridor_risk_columbus_washington-arlington - source: path: metro2/pop2 - match: *id010 + match: *id008 target: path: metro4/pop2 - match: *id010 + match: *id008 pattern: one_to_one capacity: 152.38095238095238 cost: 1216 @@ -816,9 +842,11 @@ network: source_metro: washington-arlington target_metro: atlanta target_capacity: 3200.0 - site_edge: metro2/pop2|metro4/pop2|inter_metro:2-4:2-2 - adjacency_id: inter_metro:2-4 + site_edge: metro2/pop2|metro4/pop2|inter_metro:2-4:path0:2-2 + adjacency_id: inter_metro:2-4:path0 distance_km: 1216 + euclidean_km: 861.267572704122 + detour_ratio: 1.4113975069243747 hardware: source: component: 800G-ZR+ @@ -826,13 +854,14 @@ network: target: component: 800G-ZR+ count: 1.0 - risk_groups: *id013 + risk_groups: + - corridor_risk_atlanta_washington-arlington - source: path: metro2/pop2 - match: *id011 + match: *id009 target: path: metro5/pop2 - match: *id011 + match: *id009 pattern: one_to_one capacity: 609.5238095238095 cost: 733 @@ -841,9 +870,11 @@ network: source_metro: washington-arlington target_metro: columbus target_capacity: 12800.0 - site_edge: metro2/pop2|metro5/pop2|inter_metro:2-5:2-2 - adjacency_id: inter_metro:2-5 + site_edge: metro2/pop2|metro5/pop2|inter_metro:2-5:path0:2-2 + adjacency_id: inter_metro:2-5:path0 distance_km: 733 + euclidean_km: 507.67314955219973 + detour_ratio: 1.44331128980949 hardware: source: component: 800G-ZR+ @@ -851,10 +882,13 @@ network: target: component: 800G-ZR+ count: 1.0 - risk_groups: *id014 + risk_groups: + - corridor_risk_chicago_washington-arlington + - corridor_risk_columbus_new-york-jersey-city-newark + - corridor_risk_columbus_washington-arlington - source: path: metro3/pop1 - match: &id015 + match: &id010 conditions: - attr: role op: == @@ -862,9 +896,10 @@ network: - attr: role op: == value: leaf + logic: or target: path: metro3/pop2 - match: *id015 + match: *id010 pattern: one_to_one capacity: 12800.0 cost: 138 @@ -885,7 +920,7 @@ network: count: 16.0 - source: path: metro3/pop1 - match: &id016 + match: &id011 conditions: - attr: role op: == @@ -896,7 +931,7 @@ network: logic: or target: path: metro5/pop1 - match: *id016 + match: *id011 pattern: one_to_one capacity: 152.38095238095238 cost: 658 @@ -905,9 +940,11 @@ network: source_metro: chicago target_metro: columbus target_capacity: 3200.0 - site_edge: metro3/pop1|metro5/pop1|inter_metro:3-5:1-1 - adjacency_id: inter_metro:3-5 + site_edge: metro3/pop1|metro5/pop1|inter_metro:3-5:path0:1-1 + adjacency_id: inter_metro:3-5:path0 distance_km: 658 + euclidean_km: 463.6395625132306 + detour_ratio: 1.418606990859309 hardware: source: component: 800G-ZR+ @@ -915,12 +952,12 @@ network: target: component: 800G-ZR+ count: 1.0 - risk_groups: &id018 + risk_groups: - corridor_risk_atlanta_chicago - corridor_risk_chicago_columbus - source: path: metro3/pop1 - match: &id017 + match: &id012 conditions: - attr: role op: == @@ -931,7 +968,7 @@ network: logic: or target: path: metro4/pop1 - match: *id017 + match: *id012 pattern: one_to_one capacity: 3200.0 cost: 1302 @@ -940,9 +977,11 @@ network: source_metro: chicago target_metro: atlanta target_capacity: 3200.0 - site_edge: metro3/pop1|metro4/pop1|inter_metro:3-4:1-1 - adjacency_id: inter_metro:3-4 + site_edge: metro3/pop1|metro4/pop1|inter_metro:3-4:path0:1-1 + adjacency_id: inter_metro:3-4:path0 distance_km: 1302 + euclidean_km: 962.0999146161588 + detour_ratio: 1.3528437249287772 hardware: source: component: 800G-ZR+ @@ -950,16 +989,16 @@ network: target: component: 800G-ZR+ count: 4.0 - risk_groups: &id019 + risk_groups: - corridor_risk_atlanta_chicago - corridor_risk_atlanta_columbus - corridor_risk_chicago_columbus - source: path: metro3/pop2 - match: *id016 + match: *id011 target: path: metro5/pop2 - match: *id016 + match: *id011 pattern: one_to_one capacity: 152.38095238095238 cost: 658 @@ -968,9 +1007,11 @@ network: source_metro: chicago target_metro: columbus target_capacity: 3200.0 - site_edge: metro3/pop2|metro5/pop2|inter_metro:3-5:2-2 - adjacency_id: inter_metro:3-5 + site_edge: metro3/pop2|metro5/pop2|inter_metro:3-5:path0:2-2 + adjacency_id: inter_metro:3-5:path0 distance_km: 658 + euclidean_km: 463.6395625132306 + detour_ratio: 1.418606990859309 hardware: source: component: 800G-ZR+ @@ -978,13 +1019,15 @@ network: target: component: 800G-ZR+ count: 1.0 - risk_groups: *id018 + risk_groups: + - corridor_risk_atlanta_chicago + - corridor_risk_chicago_columbus - source: path: metro3/pop2 - match: *id017 + match: *id012 target: path: metro4/pop2 - match: *id017 + match: *id012 pattern: one_to_one capacity: 3200.0 cost: 1302 @@ -993,9 +1036,11 @@ network: source_metro: chicago target_metro: atlanta target_capacity: 3200.0 - site_edge: metro3/pop2|metro4/pop2|inter_metro:3-4:2-2 - adjacency_id: inter_metro:3-4 + site_edge: metro3/pop2|metro4/pop2|inter_metro:3-4:path0:2-2 + adjacency_id: inter_metro:3-4:path0 distance_km: 1302 + euclidean_km: 962.0999146161588 + detour_ratio: 1.3528437249287772 hardware: source: component: 800G-ZR+ @@ -1003,10 +1048,13 @@ network: target: component: 800G-ZR+ count: 4.0 - risk_groups: *id019 + risk_groups: + - corridor_risk_atlanta_chicago + - corridor_risk_atlanta_columbus + - corridor_risk_chicago_columbus - source: path: metro4/pop1 - match: &id020 + match: &id013 conditions: - attr: role op: == @@ -1014,9 +1062,10 @@ network: - attr: role op: == value: leaf + logic: or target: path: metro4/pop2 - match: *id020 + match: *id013 pattern: one_to_one capacity: 12800.0 cost: 142 @@ -1037,7 +1086,7 @@ network: count: 16.0 - source: path: metro4/pop1 - match: &id021 + match: &id014 conditions: - attr: role op: == @@ -1048,7 +1097,7 @@ network: logic: or target: path: metro5/pop1 - match: *id021 + match: *id014 pattern: one_to_one capacity: 152.38095238095238 cost: 1028 @@ -1057,9 +1106,11 @@ network: source_metro: atlanta target_metro: columbus target_capacity: 3200.0 - site_edge: metro4/pop1|metro5/pop1|inter_metro:4-5:1-1 - adjacency_id: inter_metro:4-5 + site_edge: metro4/pop1|metro5/pop1|inter_metro:4-5:path0:1-1 + adjacency_id: inter_metro:4-5:path0 distance_km: 1028 + euclidean_km: 713.256465952325 + detour_ratio: 1.439960594262943 hardware: source: component: 800G-ZR+ @@ -1067,15 +1118,15 @@ network: target: component: 800G-ZR+ count: 1.0 - risk_groups: &id022 + risk_groups: - corridor_risk_atlanta_chicago - corridor_risk_atlanta_columbus - source: path: metro4/pop2 - match: *id021 + match: *id014 target: path: metro5/pop2 - match: *id021 + match: *id014 pattern: one_to_one capacity: 152.38095238095238 cost: 1028 @@ -1084,9 +1135,11 @@ network: source_metro: atlanta target_metro: columbus target_capacity: 3200.0 - site_edge: metro4/pop2|metro5/pop2|inter_metro:4-5:2-2 - adjacency_id: inter_metro:4-5 + site_edge: metro4/pop2|metro5/pop2|inter_metro:4-5:path0:2-2 + adjacency_id: inter_metro:4-5:path0 distance_km: 1028 + euclidean_km: 713.256465952325 + detour_ratio: 1.439960594262943 hardware: source: component: 800G-ZR+ @@ -1094,10 +1147,12 @@ network: target: component: 800G-ZR+ count: 1.0 - risk_groups: *id022 + risk_groups: + - corridor_risk_atlanta_chicago + - corridor_risk_atlanta_columbus - source: path: metro5/pop1 - match: &id023 + match: &id015 conditions: - attr: role op: == @@ -1105,9 +1160,10 @@ network: - attr: role op: == value: leaf + logic: or target: path: metro5/pop2 - match: *id023 + match: *id015 pattern: one_to_one capacity: 1219.047619047619 cost: 65 @@ -1128,7 +1184,7 @@ network: count: 2.0 - source: path: metro5/pop1 - match: &id024 + match: &id016 conditions: - attr: role op: == @@ -1142,7 +1198,7 @@ network: logic: or target: path: metro5/dc1 - match: *id024 + match: *id016 pattern: one_to_one capacity: 1828.5714285714287 cost: 1 @@ -1163,10 +1219,10 @@ network: count: 3.0 - source: path: metro5/pop2 - match: *id024 + match: *id016 target: path: metro5/dc1 - match: *id024 + match: *id016 pattern: one_to_one capacity: 1828.5714285714287 cost: 65 diff --git a/tests/data/scenarios/small_dragonfly/small_dragonfly__seed12/small_dragonfly__seed12_scenario.results.json b/tests/data/scenarios/small_dragonfly/small_dragonfly__seed12/small_dragonfly__seed12_scenario.results.json index def5a7d..3ca0a76 100644 --- a/tests/data/scenarios/small_dragonfly/small_dragonfly__seed12/small_dragonfly__seed12_scenario.results.json +++ b/tests/data/scenarios/small_dragonfly/small_dragonfly__seed12/small_dragonfly__seed12_scenario.results.json @@ -36,7 +36,7 @@ "steps": { "network_statistics": { "metadata": { - "duration_sec": 0.00047397613525390625 + "duration_sec": 0.0004916191101074219 }, "data": { "node_count": 133, @@ -58,7 +58,7 @@ }, "msd_baseline": { "metadata": { - "duration_sec": 0.003534078598022461 + "duration_sec": 0.0037529468536376953 }, "data": { "alpha_star": 1.6875, @@ -74,7 +74,7 @@ }, "base_demands": [ { - "id": "^metro1/dc1/.*|^metro2/dc1/.*|Ph2M0c_dR-C_kiBlJD6g9w", + "id": "^metro1/dc1/.*|^metro2/dc1/.*|qQLKVuLYQliLee2X6uH4hw", "source": "^metro1/dc1/.*", "target": "^metro2/dc1/.*", "volume": 15000.0, @@ -88,7 +88,7 @@ } }, { - "id": "^metro2/dc1/.*|^metro1/dc1/.*|9hkkRbDlQ1yPcx-9F-If5Q", + "id": "^metro2/dc1/.*|^metro1/dc1/.*|fGLTl_ChRr2eKjdKC5vV8w", "source": "^metro2/dc1/.*", "target": "^metro1/dc1/.*", "volume": 15000.0, @@ -102,7 +102,7 @@ } }, { - "id": "^metro2/dc1/.*|^metro5/dc1/.*|OJI1gzHIRYmS2LBol0awbA", + "id": "^metro2/dc1/.*|^metro5/dc1/.*|hwScv00KRVS0ID-r9eUScw", "source": "^metro2/dc1/.*", "target": "^metro5/dc1/.*", "volume": 15000.0, @@ -116,7 +116,7 @@ } }, { - "id": "^metro5/dc1/.*|^metro2/dc1/.*|kzQZcuEYRvej39p0kINzZA", + "id": "^metro5/dc1/.*|^metro2/dc1/.*|YvPve6ZhT2uxNtjPKODwVg", "source": "^metro5/dc1/.*", "target": "^metro2/dc1/.*", "volume": 15000.0, @@ -130,7 +130,7 @@ } }, { - "id": "^metro1/dc1/.*|^metro5/dc1/.*|Uj6j2XnARCqV8_FwUpcXAw", + "id": "^metro1/dc1/.*|^metro5/dc1/.*|MzMZ66XSRrqwwoSmdE4jew", "source": "^metro1/dc1/.*", "target": "^metro5/dc1/.*", "volume": 15000.0, @@ -144,7 +144,7 @@ } }, { - "id": "^metro5/dc1/.*|^metro1/dc1/.*|dCGZy0F1SQG2VikKS8W9Jw", + "id": "^metro5/dc1/.*|^metro1/dc1/.*|KnMuqAPUSsSyymiSU1309g", "source": "^metro5/dc1/.*", "target": "^metro1/dc1/.*", "volume": 15000.0, @@ -203,7 +203,7 @@ "parallelism": 7, "analysis_function": "demand_placement_analysis", "policy_name": "mc_baseline", - "execution_time": 0.2666189670562744, + "execution_time": 0.4304478168487549, "unique_patterns": 580, "occurrence_counts": [ 1, @@ -787,7 +787,7 @@ 1, 1 ], - "duration_sec": 0.29657506942749023 + "duration_sec": 0.46278810501098633 }, "data": { "baseline": { @@ -893,10 +893,10 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro1/pop1/G2/G2_r1|metro1/pop1/G2/G2_r3|0", - "metro2/pop2/G6/G6_r1|metro2/pop2/G6/G6_r2|0", + "metro5/pop2/G2/G2_r2|metro5/pop2/G4/G4_r2|0", "metro1/pop1/G1/G1_r2|metro1/pop1/G3/G3_r2|0", - "metro5/pop2/G2/G2_r2|metro5/pop2/G4/G4_r2|0" + "metro1/pop1/G2/G2_r1|metro1/pop1/G2/G2_r3|0", + "metro2/pop2/G6/G6_r1|metro2/pop2/G6/G6_r2|0" ] }, "failure_trace": null, @@ -995,10 +995,10 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ + "metro1/pop2/G5/G5_r2|metro1/pop2/G5/G5_r3|0", "metro5/pop1/G3/G3_r2|metro5/pop1/G5/G5_r2|0", - "metro5/pop2/G6/G6_r1|metro5/pop2/G6/G6_r3|0", "metro2/pop2/G6/G6_r1|metro2/pop2/G7/G7_r3|0", - "metro1/pop2/G5/G5_r2|metro1/pop2/G5/G5_r3|0" + "metro5/pop2/G6/G6_r1|metro5/pop2/G6/G6_r3|0" ] }, "failure_trace": null, @@ -1201,9 +1201,9 @@ "excluded_nodes": [], "excluded_links": [ "metro1/pop1/G4/G4_r2|metro1/pop1/G6/G6_r2|0", - "metro5/pop2/G1/G1_r1|metro5/pop2/G1/G1_r3|0", + "metro2/pop2/G5/G5_r2|metro2/pop2/G5/G5_r3|0", "metro2/pop2/G5/G5_r1|metro2/pop2/G6/G6_r3|0", - "metro2/pop2/G5/G5_r2|metro2/pop2/G5/G5_r3|0" + "metro5/pop2/G1/G1_r1|metro5/pop2/G1/G1_r3|0" ] }, "failure_trace": null, @@ -1515,9 +1515,9 @@ "excluded_nodes": [], "excluded_links": [ "metro1/pop1/G2/G2_r2|metro1/pop1/G7/G7_r2|0", + "metro2/pop2/G1/G1_r3|metro2/pop2/G7/G7_r1|0", "metro2/pop1/G6/G6_r2|metro2/pop1/G6/G6_r3|0", - "metro5/pop2/G6/G6_r1|metro5/pop2/G6/G6_r3|0", - "metro2/pop2/G1/G1_r3|metro2/pop2/G7/G7_r1|0" + "metro5/pop2/G6/G6_r1|metro5/pop2/G6/G6_r3|0" ] }, "failure_trace": null, @@ -1719,50 +1719,50 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro3/pop1/core/core|metro5/pop1/G3/G3_r2|0", - "metro3/pop1/core/core|metro5/pop1/G4/G4_r1|0", - "metro3/pop1/core/core|metro4/pop1/core/core|0", - "metro3/pop2/core/core|metro4/pop2/core/core|0", - "metro3/pop2/core/core|metro5/pop2/G4/G4_r1|0", - "metro3/pop2/core/core|metro5/pop2/G6/G6_r3|0", - "metro3/pop2/core/core|metro5/pop2/G6/G6_r2|0", + "metro3/pop1/core/core|metro5/pop1/G3/G3_r3|0", "metro3/pop2/core/core|metro5/pop2/G2/G2_r2|0", - "metro3/pop1/core/core|metro5/pop1/G2/G2_r2|0", - "metro3/pop2/core/core|metro5/pop2/G2/G2_r3|0", - "metro3/pop2/core/core|metro5/pop2/G7/G7_r2|0", - "metro3/pop2/core/core|metro5/pop2/G4/G4_r3|0", - "metro3/pop1/core/core|metro5/pop1/G2/G2_r3|0", - "metro3/pop1/core/core|metro5/pop1/G1/G1_r1|0", - "metro3/pop1/core/core|metro5/pop1/G5/G5_r1|0", - "metro3/pop2/core/core|metro5/pop2/G2/G2_r1|0", - "metro3/pop2/core/core|metro5/pop2/G3/G3_r2|0", + "metro3/pop1/core/core|metro5/pop1/G4/G4_r1|0", "metro3/pop1/core/core|metro5/pop1/G4/G4_r2|0", - "metro3/pop1/core/core|metro5/pop1/G3/G3_r3|0", - "metro3/pop2/core/core|metro5/pop2/G5/G5_r3|0", - "metro3/pop1/core/core|metro5/pop1/G1/G1_r2|0", - "metro3/pop1/core/core|metro5/pop1/G3/G3_r1|0", - "metro3/pop1/core/core|metro5/pop1/G4/G4_r3|0", - "metro3/pop1/core/core|metro5/pop1/G6/G6_r2|0", - "metro3/pop1/core/core|metro5/pop1/G6/G6_r3|0", - "metro3/pop1/core/core|metro5/pop1/G7/G7_r3|0", - "metro3/pop2/core/core|metro5/pop2/G1/G1_r3|0", "metro3/pop1/core/core|metro5/pop1/G6/G6_r1|0", - "metro3/pop2/core/core|metro5/pop2/G6/G6_r1|0", - "metro3/pop2/core/core|metro5/pop2/G7/G7_r3|0", - "metro3/pop2/core/core|metro5/pop2/G1/G1_r2|0", + "metro3/pop1/core/core|metro5/pop1/G7/G7_r1|0", + "metro3/pop1/core/core|metro5/pop1/G2/G2_r3|0", "metro3/pop2/core/core|metro5/pop2/G5/G5_r1|0", - "metro3/pop2/core/core|metro5/pop2/G5/G5_r2|0", - "metro3/pop2/core/core|metro5/pop2/G4/G4_r2|0", + "metro3/pop1/core/core|metro5/pop1/G5/G5_r3|0", + "metro3/pop2/core/core|metro5/pop2/G2/G2_r3|0", + "metro3/pop2/core/core|metro5/pop2/G3/G3_r2|0", + "metro3/pop2/core/core|metro4/pop2/core/core|0", + "metro3/pop1/core/core|metro5/pop1/G5/G5_r2|0", + "metro3/pop2/core/core|metro5/pop2/G6/G6_r2|0", + "metro3/pop2/core/core|metro5/pop2/G1/G1_r2|0", + "metro3/pop1/core/core|metro5/pop1/G3/G3_r2|0", + "metro3/pop2/core/core|metro5/pop2/G7/G7_r1|0", + "metro3/pop2/core/core|metro5/pop2/G7/G7_r3|0", + "metro3/pop2/core/core|metro5/pop2/G6/G6_r3|0", + "metro3/pop2/core/core|metro5/pop2/G6/G6_r1|0", "metro3/pop1/core/core|metro5/pop1/G1/G1_r3|0", + "metro3/pop1/core/core|metro5/pop1/G6/G6_r3|0", + "metro3/pop1/core/core|metro5/pop1/G5/G5_r1|0", "metro3/pop2/core/core|metro5/pop2/G1/G1_r1|0", - "metro3/pop1/core/core|metro5/pop1/G7/G7_r2|0", - "metro3/pop1/core/core|metro5/pop1/G5/G5_r2|0", + "metro3/pop1/core/core|metro5/pop1/G7/G7_r3|0", "metro3/pop2/core/core|metro5/pop2/G3/G3_r3|0", + "metro3/pop1/core/core|metro5/pop1/G1/G1_r1|0", + "metro3/pop2/core/core|metro5/pop2/G4/G4_r2|0", + "metro3/pop1/core/core|metro5/pop1/G2/G2_r2|0", + "metro3/pop2/core/core|metro5/pop2/G3/G3_r1|0", "metro3/pop1/core/core|metro5/pop1/G2/G2_r1|0", - "metro3/pop2/core/core|metro5/pop2/G7/G7_r1|0", - "metro3/pop1/core/core|metro5/pop1/G5/G5_r3|0", - "metro3/pop1/core/core|metro5/pop1/G7/G7_r1|0", - "metro3/pop2/core/core|metro5/pop2/G3/G3_r1|0" + "metro3/pop2/core/core|metro5/pop2/G4/G4_r3|0", + "metro3/pop1/core/core|metro5/pop1/G1/G1_r2|0", + "metro3/pop2/core/core|metro5/pop2/G5/G5_r2|0", + "metro3/pop1/core/core|metro4/pop1/core/core|0", + "metro3/pop2/core/core|metro5/pop2/G4/G4_r1|0", + "metro3/pop2/core/core|metro5/pop2/G5/G5_r3|0", + "metro3/pop2/core/core|metro5/pop2/G7/G7_r2|0", + "metro3/pop1/core/core|metro5/pop1/G7/G7_r2|0", + "metro3/pop2/core/core|metro5/pop2/G2/G2_r1|0", + "metro3/pop1/core/core|metro5/pop1/G6/G6_r2|0", + "metro3/pop1/core/core|metro5/pop1/G3/G3_r1|0", + "metro3/pop1/core/core|metro5/pop1/G4/G4_r3|0", + "metro3/pop2/core/core|metro5/pop2/G1/G1_r3|0" ] }, "failure_trace": null, @@ -1861,10 +1861,10 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro2/pop1/G3/G3_r2|metro2/pop1/G3/G3_r3|0", "metro2/pop1/G3/G3_r1|metro2/pop1/G3/G3_r2|0", - "metro2/pop1/G1/G1_r1|metro2/pop1/G2/G2_r3|0", - "metro1/pop1/G1/G1_r2|metro1/pop1/G6/G6_r2|0" + "metro2/pop1/G3/G3_r2|metro2/pop1/G3/G3_r3|0", + "metro1/pop1/G1/G1_r2|metro1/pop1/G6/G6_r2|0", + "metro2/pop1/G1/G1_r1|metro2/pop1/G2/G2_r3|0" ] }, "failure_trace": null, @@ -1963,50 +1963,50 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro4/pop2/core/core|metro5/pop2/G6/G6_r2|0", + "metro4/pop1/core/core|metro5/pop1/G1/G1_r3|0", + "metro4/pop2/core/core|metro5/pop2/G5/G5_r3|0", + "metro4/pop2/core/core|metro5/pop2/G4/G4_r3|0", "metro4/pop2/core/core|metro5/pop2/G4/G4_r1|0", + "metro4/pop1/core/core|metro5/pop1/G6/G6_r3|0", + "metro4/pop1/core/core|metro5/pop1/G2/G2_r3|0", + "metro3/pop2/core/core|metro4/pop2/core/core|0", "metro4/pop2/core/core|metro5/pop2/G5/G5_r2|0", - "metro4/pop1/core/core|metro5/pop1/G5/G5_r3|0", + "metro4/pop1/core/core|metro5/pop1/G3/G3_r1|0", + "metro4/pop2/core/core|metro5/pop2/G2/G2_r1|0", + "metro4/pop1/core/core|metro5/pop1/G6/G6_r1|0", + "metro4/pop2/core/core|metro5/pop2/G1/G1_r1|0", + "metro4/pop2/core/core|metro5/pop2/G6/G6_r3|0", + "metro4/pop2/core/core|metro5/pop2/G2/G2_r2|0", + "metro4/pop1/core/core|metro5/pop1/G4/G4_r2|0", + "metro4/pop2/core/core|metro5/pop2/G2/G2_r3|0", + "metro4/pop1/core/core|metro5/pop1/G2/G2_r2|0", "metro4/pop2/core/core|metro5/pop2/G7/G7_r2|0", - "metro4/pop1/core/core|metro5/pop1/G2/G2_r1|0", - "metro3/pop1/core/core|metro4/pop1/core/core|0", - "metro3/pop2/core/core|metro4/pop2/core/core|0", - "metro4/pop1/core/core|metro5/pop1/G6/G6_r2|0", + "metro4/pop2/core/core|metro5/pop2/G4/G4_r2|0", "metro4/pop1/core/core|metro5/pop1/G7/G7_r2|0", - "metro4/pop2/core/core|metro5/pop2/G7/G7_r1|0", + "metro4/pop1/core/core|metro5/pop1/G7/G7_r3|0", "metro4/pop2/core/core|metro5/pop2/G3/G3_r1|0", - "metro4/pop2/core/core|metro5/pop2/G3/G3_r3|0", - "metro4/pop2/core/core|metro5/pop2/G6/G6_r1|0", - "metro4/pop1/core/core|metro5/pop1/G4/G4_r2|0", "metro4/pop1/core/core|metro5/pop1/G1/G1_r2|0", + "metro4/pop1/core/core|metro5/pop1/G5/G5_r1|0", + "metro4/pop1/core/core|metro5/pop1/G3/G3_r3|0", + "metro4/pop1/core/core|metro5/pop1/G5/G5_r2|0", + "metro4/pop2/core/core|metro5/pop2/G6/G6_r1|0", + "metro4/pop2/core/core|metro5/pop2/G7/G7_r1|0", + "metro4/pop1/core/core|metro5/pop1/G2/G2_r1|0", "metro4/pop2/core/core|metro5/pop2/G7/G7_r3|0", - "metro4/pop1/core/core|metro5/pop1/G6/G6_r1|0", - "metro4/pop1/core/core|metro5/pop1/G4/G4_r3|0", - "metro4/pop1/core/core|metro5/pop1/G2/G2_r2|0", - "metro4/pop1/core/core|metro5/pop1/G1/G1_r3|0", "metro4/pop2/core/core|metro5/pop2/G1/G1_r3|0", + "metro4/pop2/core/core|metro5/pop2/G1/G1_r2|0", + "metro4/pop2/core/core|metro5/pop2/G5/G5_r1|0", + "metro4/pop1/core/core|metro5/pop1/G5/G5_r3|0", "metro4/pop2/core/core|metro5/pop2/G3/G3_r2|0", - "metro4/pop2/core/core|metro5/pop2/G4/G4_r3|0", + "metro3/pop1/core/core|metro4/pop1/core/core|0", + "metro4/pop2/core/core|metro5/pop2/G6/G6_r2|0", + "metro4/pop1/core/core|metro5/pop1/G4/G4_r1|0", + "metro4/pop1/core/core|metro5/pop1/G4/G4_r3|0", "metro4/pop1/core/core|metro5/pop1/G7/G7_r1|0", - "metro4/pop1/core/core|metro5/pop1/G3/G3_r3|0", - "metro4/pop2/core/core|metro5/pop2/G5/G5_r1|0", - "metro4/pop2/core/core|metro5/pop2/G1/G1_r2|0", - "metro4/pop1/core/core|metro5/pop1/G2/G2_r3|0", - "metro4/pop2/core/core|metro5/pop2/G2/G2_r3|0", - "metro4/pop1/core/core|metro5/pop1/G3/G3_r1|0", - "metro4/pop1/core/core|metro5/pop1/G1/G1_r1|0", + "metro4/pop2/core/core|metro5/pop2/G3/G3_r3|0", "metro4/pop1/core/core|metro5/pop1/G3/G3_r2|0", - "metro4/pop2/core/core|metro5/pop2/G6/G6_r3|0", - "metro4/pop1/core/core|metro5/pop1/G6/G6_r3|0", - "metro4/pop2/core/core|metro5/pop2/G1/G1_r1|0", - "metro4/pop2/core/core|metro5/pop2/G2/G2_r2|0", - "metro4/pop1/core/core|metro5/pop1/G5/G5_r1|0", - "metro4/pop1/core/core|metro5/pop1/G4/G4_r1|0", - "metro4/pop2/core/core|metro5/pop2/G2/G2_r1|0", - "metro4/pop2/core/core|metro5/pop2/G4/G4_r2|0", - "metro4/pop1/core/core|metro5/pop1/G5/G5_r2|0", - "metro4/pop1/core/core|metro5/pop1/G7/G7_r3|0", - "metro4/pop2/core/core|metro5/pop2/G5/G5_r3|0" + "metro4/pop1/core/core|metro5/pop1/G1/G1_r1|0", + "metro4/pop1/core/core|metro5/pop1/G6/G6_r2|0" ] }, "failure_trace": null, @@ -2106,8 +2106,8 @@ "excluded_nodes": [], "excluded_links": [ "metro1/pop2/G6/G6_r1|metro1/dc1/dc/dc|0", - "metro2/pop2/G7/G7_r1|metro2/dc1/dc/dc|0", - "metro2/pop1/G4/G4_r3|metro2/dc1/dc/dc|0" + "metro2/pop1/G4/G4_r3|metro2/dc1/dc/dc|0", + "metro2/pop2/G7/G7_r1|metro2/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -2328,9 +2328,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ + "metro5/pop2/G4/G4_r1|metro5/dc1/dc/dc|0", "metro2/pop2/G2/G2_r2|metro2/dc1/dc/dc|0", - "metro1/pop1/G3/G3_r1|metro1/dc1/dc/dc|0", - "metro5/pop2/G4/G4_r1|metro5/dc1/dc/dc|0" + "metro1/pop1/G3/G3_r1|metro1/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -2439,174 +2439,174 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro2/pop2/G7/G7_r1|metro5/pop2/G7/G7_r1|0", - 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"metro2/pop2/G2/G2_r2|metro5/pop2/G2/G2_r2|0", "metro2/pop1/G5/G5_r1|metro5/pop1/G5/G5_r1|0", - "metro1/pop1/G6/G6_r2|metro5/pop1/G6/G6_r2|0", + "metro1/pop2/G1/G1_r1|metro5/pop2/G1/G1_r1|0", "metro2/pop2/G5/G5_r3|metro3/pop2/core/core|0", - "metro1/pop2/G6/G6_r3|metro2/pop2/G6/G6_r3|0", - "metro2/pop2/G6/G6_r1|metro5/pop2/G6/G6_r1|0", - "metro1/pop1/G7/G7_r3|metro2/pop1/G7/G7_r3|0", - "metro1/pop1/G1/G1_r1|metro2/pop1/G1/G1_r1|0", - "metro2/pop1/G3/G3_r1|metro5/pop1/G3/G3_r1|0", - "metro2/pop2/G6/G6_r1|metro3/pop2/core/core|0", - "metro1/pop2/G6/G6_r2|metro5/pop2/G6/G6_r2|0", - "metro2/pop2/G5/G5_r3|metro5/pop2/G5/G5_r3|0", - "metro2/pop1/G1/G1_r2|metro5/pop1/G1/G1_r2|0", - "metro1/pop1/G5/G5_r3|metro2/pop1/G5/G5_r3|0", - "metro1/pop1/G6/G6_r3|metro2/pop1/G6/G6_r3|0", - "metro2/pop2/G5/G5_r2|metro5/pop2/G5/G5_r2|0", + "metro1/pop2/G5/G5_r1|metro2/pop2/G5/G5_r1|0", "metro2/pop1/G4/G4_r1|metro5/pop1/G4/G4_r1|0", - "metro1/pop2/G5/G5_r3|metro2/pop2/G5/G5_r3|0", "metro2/pop1/G5/G5_r2|metro5/pop1/G5/G5_r2|0", - "metro1/pop1/G2/G2_r3|metro5/pop1/G2/G2_r3|0", - "metro1/pop1/G7/G7_r1|metro5/pop1/G7/G7_r1|0", - "metro1/pop2/G4/G4_r1|metro2/pop2/G4/G4_r1|0", - "metro2/pop1/G2/G2_r1|metro5/pop1/G2/G2_r1|0", - "metro1/pop2/G7/G7_r3|metro2/pop2/G7/G7_r3|0", - "metro1/pop1/G3/G3_r1|metro2/pop1/G3/G3_r1|0", - "metro2/pop2/G2/G2_r2|metro3/pop2/core/core|0", - "metro1/pop1/G1/G1_r1|metro5/pop1/G1/G1_r1|0", - "metro1/pop1/G4/G4_r1|metro5/pop1/G4/G4_r1|0", + "metro1/pop2/G2/G2_r1|metro5/pop2/G2/G2_r1|0", + "metro1/pop1/G2/G2_r1|metro5/pop1/G2/G2_r1|0", + "metro1/pop1/G3/G3_r2|metro2/pop1/G3/G3_r2|0", + "metro1/pop2/G3/G3_r1|metro2/pop2/G3/G3_r1|0", + "metro2/pop1/G4/G4_r1|metro3/pop1/core/core|0", + "metro2/pop2/G5/G5_r2|metro3/pop2/core/core|0", + "metro2/pop1/G7/G7_r1|metro3/pop1/core/core|0", + "metro1/pop1/G6/G6_r3|metro2/pop1/G6/G6_r3|0", + "metro2/pop1/G2/G2_r2|metro3/pop1/core/core|0", + "metro1/pop2/G2/G2_r2|metro2/pop2/G2/G2_r2|0", + "metro1/pop2/G7/G7_r1|metro5/pop2/G7/G7_r1|0", + "metro1/pop2/G4/G4_r3|metro5/pop2/G4/G4_r3|0", + "metro1/pop2/G6/G6_r1|metro5/pop2/G6/G6_r1|0", + "metro1/pop2/G5/G5_r2|metro5/pop2/G5/G5_r2|0", + "metro2/pop2/G4/G4_r3|metro5/pop2/G4/G4_r3|0", + "metro1/pop1/G3/G3_r1|metro5/pop1/G3/G3_r1|0", + "metro2/pop1/G3/G3_r1|metro5/pop1/G3/G3_r1|0", + "metro2/pop1/G4/G4_r3|metro5/pop1/G4/G4_r3|0", + "metro1/pop1/G4/G4_r3|metro2/pop1/G4/G4_r3|0", + "metro1/pop2/G5/G5_r3|metro5/pop2/G5/G5_r3|0", + "metro1/pop2/G1/G1_r2|metro2/pop2/G1/G1_r2|0", + "metro1/pop2/G7/G7_r3|metro5/pop2/G7/G7_r3|0", + "metro2/pop1/G7/G7_r2|metro5/pop1/G7/G7_r2|0", + "metro2/pop2/G7/G7_r1|metro3/pop2/core/core|0", + "metro2/pop2/G2/G2_r3|metro3/pop2/core/core|0", + "metro1/pop1/G6/G6_r1|metro2/pop1/G6/G6_r1|0", + "metro1/pop1/G5/G5_r2|metro5/pop1/G5/G5_r2|0", "metro2/pop2/G4/G4_r1|metro3/pop2/core/core|0", + "metro1/pop1/G5/G5_r3|metro2/pop1/G5/G5_r3|0", + "metro1/pop1/G6/G6_r3|metro5/pop1/G6/G6_r3|0", + "metro1/pop2/G1/G1_r1|metro2/pop2/G1/G1_r1|0", + "metro2/pop1/G1/G1_r2|metro3/pop1/core/core|0", + "metro1/pop2/G2/G2_r1|metro2/pop2/G2/G2_r1|0", "metro2/pop2/G1/G1_r3|metro3/pop2/core/core|0", + "metro2/pop1/G5/G5_r3|metro5/pop1/G5/G5_r3|0", + "metro2/pop2/G4/G4_r3|metro3/pop2/core/core|0", + "metro1/pop2/G5/G5_r3|metro2/pop2/G5/G5_r3|0", + "metro2/pop1/G3/G3_r2|metro3/pop1/core/core|0", + "metro2/pop2/G2/G2_r3|metro5/pop2/G2/G2_r3|0", + "metro1/pop2/G2/G2_r2|metro5/pop2/G2/G2_r2|0", + "metro2/pop1/G4/G4_r3|metro3/pop1/core/core|0", + "metro2/pop1/G4/G4_r2|metro5/pop1/G4/G4_r2|0", + "metro2/pop2/G6/G6_r3|metro5/pop2/G6/G6_r3|0", + "metro2/pop1/G7/G7_r2|metro3/pop1/core/core|0", + "metro2/pop2/G3/G3_r3|metro5/pop2/G3/G3_r3|0", "metro1/pop2/G3/G3_r3|metro2/pop2/G3/G3_r3|0", - "metro1/pop2/G5/G5_r1|metro2/pop2/G5/G5_r1|0", - "metro2/pop1/G6/G6_r2|metro5/pop1/G6/G6_r2|0", - "metro1/pop1/G3/G3_r2|metro5/pop1/G3/G3_r2|0" + "metro1/pop2/G7/G7_r2|metro5/pop2/G7/G7_r2|0", + "metro2/pop1/G6/G6_r3|metro3/pop1/core/core|0", + "metro1/pop2/G6/G6_r3|metro2/pop2/G6/G6_r3|0", + "metro1/pop1/G1/G1_r1|metro5/pop1/G1/G1_r1|0", + "metro2/pop1/G6/G6_r2|metro3/pop1/core/core|0", + "metro2/pop2/G4/G4_r2|metro5/pop2/G4/G4_r2|0", + "metro1/pop2/G6/G6_r1|metro2/pop2/G6/G6_r1|0", + "metro1/pop2/G4/G4_r2|metro5/pop2/G4/G4_r2|0", + "metro1/pop2/G3/G3_r3|metro5/pop2/G3/G3_r3|0", + "metro2/pop2/G3/G3_r1|metro5/pop2/G3/G3_r1|0", + "metro1/pop2/G6/G6_r3|metro5/pop2/G6/G6_r3|0", + "metro1/pop1/G2/G2_r1|metro2/pop1/G2/G2_r1|0", + "metro2/pop2/G4/G4_r2|metro3/pop2/core/core|0", + "metro2/pop2/G6/G6_r1|metro5/pop2/G6/G6_r1|0", + "metro2/pop2/G7/G7_r2|metro3/pop2/core/core|0", + "metro1/pop2/G4/G4_r1|metro2/pop2/G4/G4_r1|0", + "metro2/pop1/G2/G2_r1|metro3/pop1/core/core|0", + "metro1/pop2/G7/G7_r1|metro2/pop2/G7/G7_r1|0", + "metro1/pop1/G1/G1_r2|metro2/pop1/G1/G1_r2|0", + "metro2/pop2/G7/G7_r1|metro5/pop2/G7/G7_r1|0", + "metro2/pop1/G5/G5_r2|metro3/pop1/core/core|0", + "metro2/pop2/G1/G1_r2|metro3/pop2/core/core|0", + "metro1/pop2/G3/G3_r2|metro5/pop2/G3/G3_r2|0", + "metro1/pop1/G3/G3_r3|metro5/pop1/G3/G3_r3|0", + "metro2/pop1/G5/G5_r3|metro3/pop1/core/core|0", + "metro1/pop1/G3/G3_r2|metro5/pop1/G3/G3_r2|0", + "metro2/pop2/G3/G3_r2|metro3/pop2/core/core|0", + "metro1/pop1/G1/G1_r3|metro2/pop1/G1/G1_r3|0", + "metro1/pop1/G3/G3_r3|metro2/pop1/G3/G3_r3|0", + "metro2/pop2/G2/G2_r1|metro5/pop2/G2/G2_r1|0", + "metro2/pop1/G1/G1_r3|metro3/pop1/core/core|0", + "metro2/pop1/G6/G6_r1|metro5/pop1/G6/G6_r1|0", + "metro2/pop2/G2/G2_r2|metro3/pop2/core/core|0", + "metro2/pop1/G2/G2_r3|metro3/pop1/core/core|0", + "metro1/pop1/G1/G1_r3|metro5/pop1/G1/G1_r3|0", + "metro1/pop2/G1/G1_r3|metro5/pop2/G1/G1_r3|0", + "metro1/pop2/G5/G5_r2|metro2/pop2/G5/G5_r2|0" ] }, "failure_trace": null, @@ -2693,9 +2693,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro2/pop1/G1/G1_r2|metro2/dc1/dc/dc|0", + "metro5/pop1/G3/G3_r2|metro5/dc1/dc/dc|0", "metro2/pop2/G7/G7_r3|metro2/dc1/dc/dc|0", - "metro5/pop1/G3/G3_r2|metro5/dc1/dc/dc|0" + "metro2/pop1/G1/G1_r2|metro2/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -2804,9 +2804,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ + "metro1/pop1/G4/G4_r2|metro1/dc1/dc/dc|0", "metro1/pop1/G7/G7_r1|metro1/dc1/dc/dc|0", - "metro5/pop2/G1/G1_r1|metro5/dc1/dc/dc|0", - "metro1/pop1/G4/G4_r2|metro1/dc1/dc/dc|0" + "metro5/pop2/G1/G1_r1|metro5/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -3119,8 +3119,8 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro1/pop2/G5/G5_r1|metro1/dc1/dc/dc|0", "metro5/pop1/G7/G7_r3|metro5/dc1/dc/dc|0", + "metro1/pop2/G5/G5_r1|metro1/dc1/dc/dc|0", "metro1/pop1/G6/G6_r3|metro1/dc1/dc/dc|0" ] }, @@ -3333,132 +3333,132 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro2/pop2/G7/G7_r1|metro5/pop2/G7/G7_r1|0", - "metro2/pop1/G1/G1_r2|metro3/pop1/core/core|0", - "metro2/pop2/G4/G4_r2|metro3/pop2/core/core|0", - 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"metro2/pop1/G6/G6_r2|metro5/pop1/G6/G6_r2|0", - "metro2/pop2/G7/G7_r3|metro3/pop2/core/core|0", - "metro1/pop1/G3/G3_r2|metro5/pop1/G3/G3_r2|0" + "metro2/pop2/G2/G2_r1|metro5/pop2/G2/G2_r1|0", + "metro1/pop1/G4/G4_r3|metro5/pop1/G4/G4_r3|0", + "metro2/pop2/G1/G1_r2|metro5/pop2/G1/G1_r2|0", + "metro2/pop1/G1/G1_r3|metro3/pop1/core/core|0", + "metro2/pop1/G6/G6_r1|metro5/pop1/G6/G6_r1|0", + "metro2/pop2/G2/G2_r2|metro3/pop2/core/core|0", + "metro2/pop2/G3/G3_r1|metro5/pop2/G3/G3_r1|0", + "metro1/pop1/G1/G1_r3|metro5/pop1/G1/G1_r3|0", + "metro1/pop2/G1/G1_r3|metro5/pop2/G1/G1_r3|0" ] }, "failure_trace": null, @@ -3877,48 +3877,48 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro2/pop2/G3/G3_r3|metro4/pop2/core/core|0", + "metro2/pop1/G5/G5_r1|metro4/pop1/core/core|0", + "metro2/pop1/G2/G2_r2|metro4/pop1/core/core|0", + "metro2/pop1/G6/G6_r1|metro4/pop1/core/core|0", + "metro2/pop1/G4/G4_r3|metro4/pop1/core/core|0", + "metro2/pop2/G7/G7_r1|metro4/pop2/core/core|0", + "metro2/pop1/G7/G7_r3|metro4/pop1/core/core|0", "metro2/pop1/G6/G6_r3|metro4/pop1/core/core|0", - "metro2/pop1/G2/G2_r1|metro4/pop1/core/core|0", - "metro2/pop1/G6/G6_r2|metro4/pop1/core/core|0", + "metro2/pop2/G6/G6_r2|metro4/pop2/core/core|0", + "metro2/pop2/G7/G7_r2|metro4/pop2/core/core|0", + "metro2/pop1/G5/G5_r3|metro4/pop1/core/core|0", + "metro2/pop2/G1/G1_r2|metro4/pop2/core/core|0", "metro2/pop2/G5/G5_r3|metro4/pop2/core/core|0", - "metro2/pop2/G2/G2_r2|metro4/pop2/core/core|0", - "metro2/pop1/G7/G7_r3|metro4/pop1/core/core|0", + "metro2/pop1/G3/G3_r2|metro4/pop1/core/core|0", "metro2/pop2/G3/G3_r1|metro4/pop2/core/core|0", + "metro2/pop2/G2/G2_r3|metro4/pop2/core/core|0", + "metro2/pop1/G1/G1_r2|metro4/pop1/core/core|0", + "metro2/pop2/G4/G4_r2|metro4/pop2/core/core|0", + "metro2/pop1/G1/G1_r1|metro4/pop1/core/core|0", + "metro2/pop2/G1/G1_r1|metro4/pop2/core/core|0", + "metro2/pop1/G5/G5_r2|metro4/pop1/core/core|0", + "metro2/pop2/G3/G3_r3|metro4/pop2/core/core|0", "metro2/pop2/G7/G7_r3|metro4/pop2/core/core|0", - "metro2/pop1/G7/G7_r2|metro4/pop1/core/core|0", - "metro2/pop2/G4/G4_r1|metro4/pop2/core/core|0", "metro2/pop1/G4/G4_r2|metro4/pop1/core/core|0", - "metro2/pop2/G2/G2_r3|metro4/pop2/core/core|0", - "metro2/pop1/G1/G1_r3|metro4/pop1/core/core|0", + "metro2/pop2/G4/G4_r1|metro4/pop2/core/core|0", + "metro2/pop1/G2/G2_r1|metro4/pop1/core/core|0", "metro2/pop1/G3/G3_r1|metro4/pop1/core/core|0", - "metro2/pop1/G5/G5_r1|metro4/pop1/core/core|0", - "metro2/pop2/G6/G6_r1|metro4/pop2/core/core|0", - "metro2/pop1/G4/G4_r3|metro4/pop1/core/core|0", - "metro2/pop2/G5/G5_r1|metro4/pop2/core/core|0", "metro2/pop1/G3/G3_r3|metro4/pop1/core/core|0", - "metro2/pop2/G1/G1_r2|metro4/pop2/core/core|0", - "metro2/pop1/G1/G1_r2|metro4/pop1/core/core|0", - "metro2/pop2/G1/G1_r1|metro4/pop2/core/core|0", - "metro2/pop1/G1/G1_r1|metro4/pop1/core/core|0", "metro2/pop2/G5/G5_r2|metro4/pop2/core/core|0", - "metro2/pop2/G3/G3_r2|metro4/pop2/core/core|0", "metro2/pop2/G2/G2_r1|metro4/pop2/core/core|0", - "metro2/pop1/G4/G4_r1|metro4/pop1/core/core|0", - "metro2/pop1/G2/G2_r3|metro4/pop1/core/core|0", - "metro2/pop1/G2/G2_r2|metro4/pop1/core/core|0", - "metro2/pop1/G5/G5_r2|metro4/pop1/core/core|0", - "metro2/pop2/G7/G7_r2|metro4/pop2/core/core|0", "metro2/pop2/G1/G1_r3|metro4/pop2/core/core|0", + "metro2/pop2/G4/G4_r3|metro4/pop2/core/core|0", + "metro2/pop1/G6/G6_r2|metro4/pop1/core/core|0", + "metro2/pop2/G3/G3_r2|metro4/pop2/core/core|0", "metro2/pop1/G7/G7_r1|metro4/pop1/core/core|0", - "metro2/pop2/G7/G7_r1|metro4/pop2/core/core|0", + "metro2/pop1/G1/G1_r3|metro4/pop1/core/core|0", + "metro2/pop2/G5/G5_r1|metro4/pop2/core/core|0", + "metro2/pop2/G2/G2_r2|metro4/pop2/core/core|0", + "metro2/pop1/G2/G2_r3|metro4/pop1/core/core|0", + "metro2/pop1/G7/G7_r2|metro4/pop1/core/core|0", "metro2/pop2/G6/G6_r3|metro4/pop2/core/core|0", - "metro2/pop1/G6/G6_r1|metro4/pop1/core/core|0", - "metro2/pop2/G6/G6_r2|metro4/pop2/core/core|0", - "metro2/pop2/G4/G4_r3|metro4/pop2/core/core|0", - "metro2/pop2/G4/G4_r2|metro4/pop2/core/core|0", - "metro2/pop1/G5/G5_r3|metro4/pop1/core/core|0", - "metro2/pop1/G3/G3_r2|metro4/pop1/core/core|0" + "metro2/pop2/G6/G6_r1|metro4/pop2/core/core|0", + "metro2/pop1/G4/G4_r1|metro4/pop1/core/core|0" ] }, "failure_trace": null, @@ -4017,9 +4017,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ + "metro2/pop1/G7/G7_r3|metro2/dc1/dc/dc|0", "metro5/pop2/G4/G4_r2|metro5/dc1/dc/dc|0", - "metro5/pop2/G1/G1_r3|metro5/dc1/dc/dc|0", - "metro2/pop1/G7/G7_r3|metro2/dc1/dc/dc|0" + "metro5/pop2/G1/G1_r3|metro5/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -4126,9 +4126,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ + "metro1/pop2/G1/G1_r3|metro1/dc1/dc/dc|0", "metro1/pop2/G6/G6_r3|metro1/dc1/dc/dc|0", - "metro1/pop2/G4/G4_r1|metro1/dc1/dc/dc|0", - "metro1/pop2/G1/G1_r3|metro1/dc1/dc/dc|0" + "metro1/pop2/G4/G4_r1|metro1/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -4233,8 +4233,8 @@ "excluded_nodes": [], "excluded_links": [ "metro2/pop1/G7/G7_r2|metro2/pop1/G7/G7_r3|0", - "metro5/pop1/G2/G2_r1|metro5/pop1/G3/G3_r3|0", "metro5/pop1/G3/G3_r3|metro5/pop1/G6/G6_r1|0", + "metro5/pop1/G2/G2_r1|metro5/pop1/G3/G3_r3|0", "metro5/pop1/G2/G2_r1|metro5/pop1/G6/G6_r3|0" ] }, @@ -4334,10 +4334,10 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro1/pop2/G3/G3_r1|metro1/pop2/G4/G4_r3|0", "metro2/pop2/G2/G2_r2|metro2/pop2/G7/G7_r2|0", "metro2/pop1/G2/G2_r1|metro2/pop1/G6/G6_r3|0", - "metro5/pop1/G1/G1_r1|metro5/pop1/G2/G2_r3|0" + "metro5/pop1/G1/G1_r1|metro5/pop1/G2/G2_r3|0", + "metro1/pop2/G3/G3_r1|metro1/pop2/G4/G4_r3|0" ] }, "failure_trace": null, @@ -4539,9 +4539,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro2/pop2/G3/G3_r3|metro2/dc1/dc/dc|0", "metro5/pop1/G7/G7_r1|metro5/dc1/dc/dc|0", - "metro5/pop2/G4/G4_r1|metro5/dc1/dc/dc|0" + "metro5/pop2/G4/G4_r1|metro5/dc1/dc/dc|0", + "metro2/pop2/G3/G3_r3|metro2/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -4753,10 +4753,10 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro5/pop2/G5/G5_r2|metro5/pop2/G7/G7_r2|0", "metro1/pop1/G5/G5_r1|metro1/pop1/G6/G6_r3|0", + "metro5/pop1/G3/G3_r1|metro5/pop1/G4/G4_r3|0", "metro2/pop1/G3/G3_r2|metro2/pop1/G5/G5_r2|0", - "metro5/pop1/G3/G3_r1|metro5/pop1/G4/G4_r3|0" + "metro5/pop2/G5/G5_r2|metro5/pop2/G7/G7_r2|0" ] }, "failure_trace": null, @@ -4855,9 +4855,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro2/pop1/G6/G6_r3|metro2/dc1/dc/dc|0", "metro2/pop2/G7/G7_r3|metro2/dc1/dc/dc|0", - "metro1/pop1/G1/G1_r1|metro1/dc1/dc/dc|0" + "metro1/pop1/G1/G1_r1|metro1/dc1/dc/dc|0", + "metro2/pop1/G6/G6_r3|metro2/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -4966,92 +4966,92 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro4/pop2/core/core|metro5/pop2/G6/G6_r2|0", + "metro4/pop1/core/core|metro5/pop1/G1/G1_r3|0", + "metro3/pop1/core/core|metro5/pop1/G3/G3_r1|0", + "metro4/pop1/core/core|metro5/pop1/G6/G6_r3|0", + "metro3/pop1/core/core|metro5/pop1/G6/G6_r1|0", + "metro3/pop1/core/core|metro5/pop1/G7/G7_r1|0", + "metro4/pop1/core/core|metro5/pop1/G2/G2_r3|0", + "metro3/pop1/core/core|metro5/pop1/G2/G2_r3|0", + "metro3/pop2/core/core|metro5/pop2/G2/G2_r3|0", + "metro3/pop2/core/core|metro5/pop2/G3/G3_r2|0", + "metro4/pop1/core/core|metro5/pop1/G3/G3_r1|0", + "metro3/pop2/core/core|metro4/pop2/core/core|0", + "metro4/pop2/core/core|metro5/pop2/G2/G2_r1|0", + "metro3/pop1/core/core|metro5/pop1/G5/G5_r2|0", + "metro3/pop2/core/core|metro5/pop2/G6/G6_r2|0", + "metro3/pop2/core/core|metro5/pop2/G1/G1_r2|0", + "metro3/pop1/core/core|metro5/pop1/G3/G3_r2|0", + "metro4/pop1/core/core|metro5/pop1/G4/G4_r2|0", + "metro4/pop2/core/core|metro5/pop2/G2/G2_r3|0", + "metro3/pop2/core/core|metro5/pop2/G7/G7_r1|0", + "metro4/pop2/core/core|metro5/pop2/G4/G4_r2|0", "metro4/pop2/core/core|metro5/pop2/G7/G7_r2|0", - "metro4/pop1/core/core|metro5/pop1/G2/G2_r1|0", + "metro3/pop2/core/core|metro5/pop2/G7/G7_r3|0", + "metro3/pop2/core/core|metro5/pop2/G6/G6_r3|0", + "metro3/pop2/core/core|metro5/pop2/G6/G6_r1|0", "metro4/pop1/core/core|metro5/pop1/G7/G7_r2|0", - "metro4/pop2/core/core|metro5/pop2/G7/G7_r1|0", - "metro3/pop2/core/core|metro4/pop2/core/core|0", "metro4/pop2/core/core|metro5/pop2/G3/G3_r1|0", + "metro4/pop1/core/core|metro5/pop1/G5/G5_r1|0", + "metro4/pop2/core/core|metro5/pop2/G6/G6_r1|0", + "metro4/pop1/core/core|metro5/pop1/G5/G5_r2|0", + "metro3/pop2/core/core|metro5/pop2/G1/G1_r1|0", + "metro3/pop1/core/core|metro5/pop1/G7/G7_r3|0", + "metro3/pop2/core/core|metro5/pop2/G4/G4_r2|0", + "metro4/pop2/core/core|metro5/pop2/G1/G1_r3|0", + "metro3/pop1/core/core|metro5/pop1/G2/G2_r2|0", + "metro4/pop2/core/core|metro5/pop2/G1/G1_r2|0", "metro4/pop2/core/core|metro5/pop2/G3/G3_r3|0", - "metro3/pop2/core/core|metro5/pop2/G6/G6_r2|0", - "metro3/pop2/core/core|metro5/pop2/G7/G7_r2|0", - "metro4/pop1/core/core|metro5/pop1/G1/G1_r2|0", - "metro4/pop2/core/core|metro5/pop2/G7/G7_r3|0", - "metro4/pop1/core/core|metro5/pop1/G4/G4_r3|0", - "metro3/pop1/core/core|metro5/pop1/G2/G2_r3|0", - "metro4/pop1/core/core|metro5/pop1/G2/G2_r2|0", - "metro3/pop1/core/core|metro5/pop1/G1/G1_r1|0", - "metro3/pop1/core/core|metro5/pop1/G4/G4_r2|0", - "metro4/pop1/core/core|metro5/pop1/G1/G1_r3|0", - "metro3/pop2/core/core|metro5/pop2/G5/G5_r3|0", - "metro4/pop2/core/core|metro5/pop2/G3/G3_r2|0", - "metro3/pop1/core/core|metro5/pop1/G3/G3_r3|0", "metro3/pop1/core/core|metro5/pop1/G1/G1_r2|0", - "metro3/pop1/core/core|metro5/pop1/G4/G4_r3|0", - "metro4/pop1/core/core|metro5/pop1/G7/G7_r1|0", + "metro3/pop2/core/core|metro5/pop2/G5/G5_r2|0", + "metro3/pop1/core/core|metro4/pop1/core/core|0", + "metro4/pop2/core/core|metro5/pop2/G6/G6_r2|0", + "metro4/pop1/core/core|metro5/pop1/G4/G4_r1|0", + "metro3/pop1/core/core|metro5/pop1/G7/G7_r2|0", "metro3/pop1/core/core|metro5/pop1/G6/G6_r2|0", - "metro3/pop1/core/core|metro5/pop1/G7/G7_r3|0", - "metro4/pop1/core/core|metro5/pop1/G3/G3_r3|0", - "metro3/pop2/core/core|metro5/pop2/G6/G6_r1|0", - "metro4/pop2/core/core|metro5/pop2/G1/G1_r2|0", - "metro4/pop1/core/core|metro5/pop1/G3/G3_r1|0", - "metro4/pop1/core/core|metro5/pop1/G1/G1_r1|0", - "metro4/pop2/core/core|metro5/pop2/G6/G6_r3|0", "metro4/pop1/core/core|metro5/pop1/G3/G3_r2|0", - "metro3/pop2/core/core|metro5/pop2/G5/G5_r1|0", - "metro4/pop1/core/core|metro5/pop1/G6/G6_r3|0", - "metro3/pop1/core/core|metro5/pop1/G7/G7_r2|0", - "metro3/pop1/core/core|metro5/pop1/G5/G5_r2|0", - "metro3/pop2/core/core|metro5/pop2/G3/G3_r3|0", - "metro4/pop2/core/core|metro5/pop2/G2/G2_r2|0", - "metro4/pop1/core/core|metro5/pop1/G4/G4_r1|0", - "metro3/pop2/core/core|metro5/pop2/G7/G7_r1|0", - "metro4/pop2/core/core|metro5/pop2/G2/G2_r1|0", - "metro4/pop1/core/core|metro5/pop1/G7/G7_r3|0", + "metro3/pop1/core/core|metro5/pop1/G4/G4_r3|0", + "metro3/pop2/core/core|metro5/pop2/G1/G1_r3|0", + "metro3/pop1/core/core|metro5/pop1/G3/G3_r3|0", "metro4/pop2/core/core|metro5/pop2/G5/G5_r3|0", + "metro3/pop2/core/core|metro5/pop2/G2/G2_r2|0", + "metro3/pop1/core/core|metro5/pop1/G4/G4_r1|0", + "metro4/pop2/core/core|metro5/pop2/G4/G4_r3|0", + "metro3/pop1/core/core|metro5/pop1/G4/G4_r2|0", "metro4/pop2/core/core|metro5/pop2/G4/G4_r1|0", + "metro3/pop2/core/core|metro5/pop2/G5/G5_r1|0", "metro4/pop2/core/core|metro5/pop2/G5/G5_r2|0", - "metro4/pop1/core/core|metro5/pop1/G5/G5_r3|0", - "metro3/pop1/core/core|metro5/pop1/G3/G3_r2|0", - "metro3/pop1/core/core|metro5/pop1/G4/G4_r1|0", - "metro3/pop1/core/core|metro4/pop1/core/core|0", - "metro4/pop1/core/core|metro5/pop1/G6/G6_r2|0", - "metro3/pop2/core/core|metro5/pop2/G4/G4_r1|0", - "metro3/pop2/core/core|metro5/pop2/G6/G6_r3|0", - "metro3/pop2/core/core|metro5/pop2/G2/G2_r2|0", - "metro3/pop1/core/core|metro5/pop1/G2/G2_r2|0", - "metro4/pop2/core/core|metro5/pop2/G6/G6_r1|0", - "metro3/pop2/core/core|metro5/pop2/G2/G2_r3|0", - "metro4/pop1/core/core|metro5/pop1/G4/G4_r2|0", - "metro3/pop2/core/core|metro5/pop2/G4/G4_r3|0", + "metro3/pop1/core/core|metro5/pop1/G5/G5_r3|0", "metro4/pop1/core/core|metro5/pop1/G6/G6_r1|0", - "metro3/pop1/core/core|metro5/pop1/G5/G5_r1|0", - "metro3/pop2/core/core|metro5/pop2/G3/G3_r2|0", - "metro3/pop2/core/core|metro5/pop2/G2/G2_r1|0", - "metro4/pop2/core/core|metro5/pop2/G1/G1_r3|0", - "metro4/pop2/core/core|metro5/pop2/G4/G4_r3|0", - "metro3/pop1/core/core|metro5/pop1/G3/G3_r1|0", - "metro3/pop1/core/core|metro5/pop1/G6/G6_r3|0", - "metro3/pop2/core/core|metro5/pop2/G1/G1_r3|0", - "metro4/pop2/core/core|metro5/pop2/G5/G5_r1|0", - "metro3/pop1/core/core|metro5/pop1/G6/G6_r1|0", - "metro4/pop1/core/core|metro5/pop1/G2/G2_r3|0", - "metro3/pop2/core/core|metro5/pop2/G7/G7_r3|0", - "metro3/pop2/core/core|metro5/pop2/G1/G1_r2|0", - "metro4/pop2/core/core|metro5/pop2/G2/G2_r3|0", - "metro3/pop2/core/core|metro5/pop2/G5/G5_r2|0", - "metro3/pop2/core/core|metro5/pop2/G4/G4_r2|0", "metro4/pop2/core/core|metro5/pop2/G1/G1_r1|0", + "metro4/pop2/core/core|metro5/pop2/G6/G6_r3|0", + "metro4/pop2/core/core|metro5/pop2/G2/G2_r2|0", + "metro4/pop1/core/core|metro5/pop1/G2/G2_r2|0", "metro3/pop1/core/core|metro5/pop1/G1/G1_r3|0", - "metro3/pop2/core/core|metro5/pop2/G1/G1_r1|0", - "metro4/pop1/core/core|metro5/pop1/G5/G5_r1|0", + "metro4/pop1/core/core|metro5/pop1/G7/G7_r3|0", + "metro3/pop1/core/core|metro5/pop1/G6/G6_r3|0", + "metro4/pop1/core/core|metro5/pop1/G1/G1_r2|0", + "metro4/pop1/core/core|metro5/pop1/G3/G3_r3|0", + "metro3/pop1/core/core|metro5/pop1/G5/G5_r1|0", + "metro3/pop2/core/core|metro5/pop2/G3/G3_r3|0", + "metro4/pop1/core/core|metro5/pop1/G2/G2_r1|0", + "metro4/pop2/core/core|metro5/pop2/G7/G7_r3|0", + "metro3/pop1/core/core|metro5/pop1/G1/G1_r1|0", + "metro3/pop2/core/core|metro5/pop2/G3/G3_r1|0", "metro3/pop1/core/core|metro5/pop1/G2/G2_r1|0", - "metro4/pop2/core/core|metro5/pop2/G4/G4_r2|0", - "metro3/pop1/core/core|metro5/pop1/G5/G5_r3|0", - "metro3/pop1/core/core|metro5/pop1/G7/G7_r1|0", - "metro4/pop1/core/core|metro5/pop1/G5/G5_r2|0", - "metro3/pop2/core/core|metro5/pop2/G3/G3_r1|0" + "metro4/pop2/core/core|metro5/pop2/G5/G5_r1|0", + "metro3/pop2/core/core|metro5/pop2/G4/G4_r3|0", + "metro4/pop1/core/core|metro5/pop1/G5/G5_r3|0", + "metro4/pop2/core/core|metro5/pop2/G3/G3_r2|0", + "metro3/pop2/core/core|metro5/pop2/G4/G4_r1|0", + "metro3/pop2/core/core|metro5/pop2/G5/G5_r3|0", + "metro3/pop2/core/core|metro5/pop2/G7/G7_r2|0", + "metro3/pop2/core/core|metro5/pop2/G2/G2_r1|0", + "metro4/pop1/core/core|metro5/pop1/G4/G4_r3|0", + "metro4/pop1/core/core|metro5/pop1/G7/G7_r1|0", + "metro4/pop2/core/core|metro5/pop2/G7/G7_r1|0", + "metro4/pop1/core/core|metro5/pop1/G1/G1_r1|0", + "metro4/pop1/core/core|metro5/pop1/G6/G6_r2|0" ] }, "failure_trace": null, @@ -5150,8 +5150,8 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro1/pop2/G1/G1_r1|metro1/dc1/dc/dc|0", "metro2/pop2/G2/G2_r2|metro2/dc1/dc/dc|0", + "metro1/pop2/G1/G1_r1|metro1/dc1/dc/dc|0", "metro5/pop1/G7/G7_r3|metro5/dc1/dc/dc|0" ] }, @@ -5261,9 +5261,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ + "metro5/pop2/G7/G7_r2|metro5/dc1/dc/dc|0", "metro2/pop1/G1/G1_r2|metro2/dc1/dc/dc|0", - "metro2/pop1/G3/G3_r1|metro2/dc1/dc/dc|0", - "metro5/pop2/G7/G7_r2|metro5/dc1/dc/dc|0" + "metro2/pop1/G3/G3_r1|metro2/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -5473,10 +5473,10 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro1/pop2/G2/G2_r1|metro1/pop2/G2/G2_r3|0", + "metro2/pop2/G5/G5_r2|metro2/pop2/G5/G5_r3|0", "metro2/pop1/G7/G7_r1|metro2/pop1/G7/G7_r2|0", "metro2/pop1/G4/G4_r2|metro2/pop1/G4/G4_r3|0", - "metro2/pop2/G5/G5_r2|metro2/pop2/G5/G5_r3|0" + "metro1/pop2/G2/G2_r1|metro1/pop2/G2/G2_r3|0" ] }, "failure_trace": null, @@ -5575,9 +5575,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro1/pop1/G6/G6_r3|metro1/dc1/dc/dc|0", "metro5/pop1/G7/G7_r3|metro5/dc1/dc/dc|0", - "metro1/pop1/G5/G5_r1|metro1/dc1/dc/dc|0" + "metro1/pop1/G5/G5_r1|metro1/dc1/dc/dc|0", + "metro1/pop1/G6/G6_r3|metro1/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -5785,9 +5785,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ + "metro5/pop2/G1/G1_r3|metro5/dc1/dc/dc|0", "metro1/pop1/G1/G1_r3|metro1/dc1/dc/dc|0", - "metro2/pop1/G6/G6_r3|metro2/dc1/dc/dc|0", - "metro5/pop2/G1/G1_r3|metro5/dc1/dc/dc|0" + "metro2/pop1/G6/G6_r3|metro2/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -5999,9 +5999,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ + "metro1/pop1/G2/G2_r1|metro1/dc1/dc/dc|0", "metro1/pop1/G5/G5_r2|metro1/dc1/dc/dc|0", - "metro2/pop2/G6/G6_r1|metro2/dc1/dc/dc|0", - "metro1/pop1/G2/G2_r1|metro1/dc1/dc/dc|0" + "metro2/pop2/G6/G6_r1|metro2/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -6108,9 +6108,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro1/pop2/G7/G7_r2|metro1/dc1/dc/dc|0", "metro1/pop1/G1/G1_r2|metro1/dc1/dc/dc|0", - "metro5/pop2/G5/G5_r3|metro5/dc1/dc/dc|0" + "metro5/pop2/G5/G5_r3|metro5/dc1/dc/dc|0", + "metro1/pop2/G7/G7_r2|metro1/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -6219,9 +6219,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro1/pop1/G4/G4_r3|metro1/dc1/dc/dc|0", + "metro2/pop2/G4/G4_r3|metro2/dc1/dc/dc|0", "metro5/pop1/G5/G5_r3|metro5/dc1/dc/dc|0", - "metro2/pop2/G4/G4_r3|metro2/dc1/dc/dc|0" + "metro1/pop1/G4/G4_r3|metro1/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -6433,90 +6433,90 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro1/pop1/G7/G7_r2|metro2/pop1/G7/G7_r2|0", - "metro1/pop2/G3/G3_r1|metro5/pop2/G3/G3_r1|0", + "metro1/pop2/G4/G4_r2|metro2/pop2/G4/G4_r2|0", + "metro1/pop2/G4/G4_r3|metro2/pop2/G4/G4_r3|0", + "metro1/pop2/G1/G1_r1|metro5/pop2/G1/G1_r1|0", + "metro1/pop1/G7/G7_r3|metro2/pop1/G7/G7_r3|0", "metro1/pop1/G6/G6_r1|metro5/pop1/G6/G6_r1|0", - "metro1/pop2/G3/G3_r2|metro5/pop2/G3/G3_r2|0", - "metro1/pop2/G6/G6_r3|metro5/pop2/G6/G6_r3|0", - "metro1/pop2/G2/G2_r1|metro2/pop2/G2/G2_r1|0", - "metro1/pop2/G2/G2_r2|metro5/pop2/G2/G2_r2|0", - "metro1/pop2/G6/G6_r2|metro2/pop2/G6/G6_r2|0", - "metro1/pop2/G5/G5_r3|metro5/pop2/G5/G5_r3|0", - "metro1/pop1/G3/G3_r3|metro2/pop1/G3/G3_r3|0", - "metro1/pop1/G6/G6_r2|metro2/pop1/G6/G6_r2|0", - "metro1/pop2/G4/G4_r1|metro5/pop2/G4/G4_r1|0", - "metro1/pop1/G4/G4_r1|metro2/pop1/G4/G4_r1|0", - "metro1/pop2/G1/G1_r2|metro5/pop2/G1/G1_r2|0", + "metro1/pop1/G2/G2_r3|metro5/pop1/G2/G2_r3|0", + "metro1/pop2/G5/G5_r1|metro2/pop2/G5/G5_r1|0", + "metro1/pop1/G4/G4_r2|metro2/pop1/G4/G4_r2|0", + "metro1/pop2/G2/G2_r1|metro5/pop2/G2/G2_r1|0", + "metro1/pop2/G1/G1_r3|metro2/pop2/G1/G1_r3|0", + "metro1/pop1/G4/G4_r1|metro5/pop1/G4/G4_r1|0", + "metro1/pop1/G7/G7_r2|metro5/pop1/G7/G7_r2|0", + "metro1/pop1/G2/G2_r1|metro5/pop1/G2/G2_r1|0", + "metro1/pop1/G3/G3_r2|metro2/pop1/G3/G3_r2|0", "metro1/pop1/G5/G5_r1|metro2/pop1/G5/G5_r1|0", - "metro1/pop2/G3/G3_r3|metro5/pop2/G3/G3_r3|0", - "metro1/pop2/G5/G5_r1|metro5/pop2/G5/G5_r1|0", - "metro1/pop1/G7/G7_r1|metro2/pop1/G7/G7_r1|0", - "metro1/pop2/G2/G2_r3|metro5/pop2/G2/G2_r3|0", - "metro1/pop1/G1/G1_r2|metro5/pop1/G1/G1_r2|0", + "metro1/pop2/G3/G3_r1|metro2/pop2/G3/G3_r1|0", + "metro1/pop1/G1/G1_r1|metro2/pop1/G1/G1_r1|0", + "metro1/pop1/G4/G4_r1|metro2/pop1/G4/G4_r1|0", + "metro1/pop1/G6/G6_r3|metro2/pop1/G6/G6_r3|0", + "metro1/pop2/G2/G2_r2|metro2/pop2/G2/G2_r2|0", + "metro1/pop2/G4/G4_r1|metro5/pop2/G4/G4_r1|0", + "metro1/pop2/G7/G7_r1|metro5/pop2/G7/G7_r1|0", + "metro1/pop2/G4/G4_r3|metro5/pop2/G4/G4_r3|0", "metro1/pop2/G6/G6_r1|metro5/pop2/G6/G6_r1|0", - "metro1/pop1/G5/G5_r3|metro5/pop1/G5/G5_r3|0", - "metro1/pop2/G1/G1_r3|metro5/pop2/G1/G1_r3|0", + "metro1/pop2/G5/G5_r2|metro5/pop2/G5/G5_r2|0", + "metro1/pop2/G7/G7_r3|metro2/pop2/G7/G7_r3|0", + "metro1/pop1/G6/G6_r2|metro2/pop1/G6/G6_r2|0", + "metro1/pop1/G3/G3_r1|metro5/pop1/G3/G3_r1|0", + "metro1/pop1/G3/G3_r1|metro2/pop1/G3/G3_r1|0", + "metro1/pop2/G2/G2_r3|metro2/pop2/G2/G2_r3|0", + "metro1/pop1/G7/G7_r1|metro5/pop1/G7/G7_r1|0", + "metro1/pop1/G4/G4_r3|metro2/pop1/G4/G4_r3|0", + "metro1/pop2/G5/G5_r3|metro5/pop2/G5/G5_r3|0", "metro1/pop2/G1/G1_r2|metro2/pop2/G1/G1_r2|0", - "metro1/pop2/G5/G5_r2|metro2/pop2/G5/G5_r2|0", + "metro1/pop2/G7/G7_r3|metro5/pop2/G7/G7_r3|0", + "metro1/pop1/G6/G6_r1|metro2/pop1/G6/G6_r1|0", "metro1/pop1/G5/G5_r2|metro5/pop1/G5/G5_r2|0", + "metro1/pop1/G5/G5_r3|metro2/pop1/G5/G5_r3|0", + "metro1/pop1/G6/G6_r3|metro5/pop1/G6/G6_r3|0", "metro1/pop2/G1/G1_r1|metro2/pop2/G1/G1_r1|0", - "metro1/pop2/G4/G4_r3|metro2/pop2/G4/G4_r3|0", - "metro1/pop1/G4/G4_r3|metro2/pop1/G4/G4_r3|0", - "metro1/pop1/G4/G4_r3|metro5/pop1/G4/G4_r3|0", - "metro1/pop2/G5/G5_r2|metro5/pop2/G5/G5_r2|0", - "metro1/pop1/G2/G2_r3|metro2/pop1/G2/G2_r3|0", - "metro1/pop2/G7/G7_r1|metro5/pop2/G7/G7_r1|0", - "metro1/pop2/G2/G2_r2|metro2/pop2/G2/G2_r2|0", + "metro1/pop1/G1/G1_r2|metro5/pop1/G1/G1_r2|0", + "metro1/pop2/G2/G2_r1|metro2/pop2/G2/G2_r1|0", + "metro1/pop2/G5/G5_r3|metro2/pop2/G5/G5_r3|0", + "metro1/pop2/G2/G2_r2|metro5/pop2/G2/G2_r2|0", + "metro1/pop1/G2/G2_r2|metro5/pop1/G2/G2_r2|0", + "metro1/pop1/G7/G7_r2|metro2/pop1/G7/G7_r2|0", + "metro1/pop2/G5/G5_r1|metro5/pop2/G5/G5_r1|0", + "metro1/pop2/G3/G3_r1|metro5/pop2/G3/G3_r1|0", + "metro1/pop2/G3/G3_r3|metro2/pop2/G3/G3_r3|0", "metro1/pop1/G4/G4_r2|metro5/pop1/G4/G4_r2|0", - "metro1/pop1/G3/G3_r2|metro2/pop1/G3/G3_r2|0", - "metro1/pop2/G2/G2_r3|metro2/pop2/G2/G2_r3|0", - "metro1/pop2/G4/G4_r2|metro5/pop2/G4/G4_r2|0", - "metro1/pop1/G6/G6_r3|metro5/pop1/G6/G6_r3|0", - "metro1/pop1/G5/G5_r1|metro5/pop1/G5/G5_r1|0", - "metro1/pop1/G7/G7_r3|metro5/pop1/G7/G7_r3|0", - "metro1/pop1/G7/G7_r2|metro5/pop1/G7/G7_r2|0", - "metro1/pop2/G7/G7_r3|metro5/pop2/G7/G7_r3|0", - "metro1/pop1/G3/G3_r1|metro5/pop1/G3/G3_r1|0", - "metro1/pop2/G1/G1_r3|metro2/pop2/G1/G1_r3|0", - "metro1/pop1/G1/G1_r2|metro2/pop1/G1/G1_r2|0", - "metro1/pop1/G2/G2_r1|metro5/pop1/G2/G2_r1|0", - "metro1/pop2/G1/G1_r1|metro5/pop2/G1/G1_r1|0", - "metro1/pop1/G3/G3_r2|metro5/pop1/G3/G3_r2|0", - "metro1/pop1/G6/G6_r2|metro5/pop1/G6/G6_r2|0", "metro1/pop2/G7/G7_r2|metro5/pop2/G7/G7_r2|0", - "metro1/pop1/G3/G3_r3|metro5/pop1/G3/G3_r3|0", - "metro1/pop2/G7/G7_r1|metro2/pop2/G7/G7_r1|0", "metro1/pop2/G6/G6_r3|metro2/pop2/G6/G6_r3|0", - "metro1/pop1/G7/G7_r3|metro2/pop1/G7/G7_r3|0", - "metro1/pop1/G1/G1_r1|metro2/pop1/G1/G1_r1|0", + "metro1/pop1/G1/G1_r1|metro5/pop1/G1/G1_r1|0", "metro1/pop2/G6/G6_r1|metro2/pop2/G6/G6_r1|0", - "metro1/pop2/G6/G6_r2|metro5/pop2/G6/G6_r2|0", - "metro1/pop2/G4/G4_r3|metro5/pop2/G4/G4_r3|0", - "metro1/pop1/G5/G5_r3|metro2/pop1/G5/G5_r3|0", - "metro1/pop1/G6/G6_r3|metro2/pop1/G6/G6_r3|0", - "metro1/pop1/G6/G6_r1|metro2/pop1/G6/G6_r1|0", - "metro1/pop2/G5/G5_r3|metro2/pop2/G5/G5_r3|0", - "metro1/pop2/G3/G3_r1|metro2/pop2/G3/G3_r1|0", - "metro1/pop2/G2/G2_r1|metro5/pop2/G2/G2_r1|0", - "metro1/pop1/G2/G2_r3|metro5/pop1/G2/G2_r3|0", + "metro1/pop1/G5/G5_r1|metro5/pop1/G5/G5_r1|0", + "metro1/pop2/G4/G4_r2|metro5/pop2/G4/G4_r2|0", + "metro1/pop2/G3/G3_r3|metro5/pop2/G3/G3_r3|0", + "metro1/pop2/G2/G2_r3|metro5/pop2/G2/G2_r3|0", + "metro1/pop2/G6/G6_r3|metro5/pop2/G6/G6_r3|0", + "metro1/pop1/G2/G2_r1|metro2/pop1/G2/G2_r1|0", + "metro1/pop2/G7/G7_r2|metro2/pop2/G7/G7_r2|0", "metro1/pop1/G5/G5_r2|metro2/pop1/G5/G5_r2|0", - "metro1/pop1/G7/G7_r1|metro5/pop1/G7/G7_r1|0", + "metro1/pop1/G5/G5_r3|metro5/pop1/G5/G5_r3|0", "metro1/pop2/G4/G4_r1|metro2/pop2/G4/G4_r1|0", + "metro1/pop2/G6/G6_r2|metro5/pop2/G6/G6_r2|0", + "metro1/pop2/G7/G7_r1|metro2/pop2/G7/G7_r1|0", + "metro1/pop1/G1/G1_r2|metro2/pop1/G1/G1_r2|0", + "metro1/pop2/G1/G1_r2|metro5/pop2/G1/G1_r2|0", "metro1/pop1/G2/G2_r2|metro2/pop1/G2/G2_r2|0", - "metro1/pop1/G2/G2_r1|metro2/pop1/G2/G2_r1|0", - "metro1/pop1/G1/G1_r3|metro5/pop1/G1/G1_r3|0", + "metro1/pop2/G3/G3_r2|metro5/pop2/G3/G3_r2|0", + "metro1/pop1/G7/G7_r3|metro5/pop1/G7/G7_r3|0", + "metro1/pop1/G3/G3_r3|metro5/pop1/G3/G3_r3|0", + "metro1/pop1/G3/G3_r2|metro5/pop1/G3/G3_r2|0", + "metro1/pop1/G6/G6_r2|metro5/pop1/G6/G6_r2|0", + "metro1/pop1/G2/G2_r3|metro2/pop1/G2/G2_r3|0", + "metro1/pop2/G6/G6_r2|metro2/pop2/G6/G6_r2|0", + "metro1/pop1/G1/G1_r3|metro2/pop1/G1/G1_r3|0", + "metro1/pop1/G3/G3_r3|metro2/pop1/G3/G3_r3|0", + "metro1/pop1/G4/G4_r3|metro5/pop1/G4/G4_r3|0", + "metro1/pop1/G7/G7_r1|metro2/pop1/G7/G7_r1|0", "metro1/pop2/G3/G3_r2|metro2/pop2/G3/G3_r2|0", - "metro1/pop2/G4/G4_r2|metro2/pop2/G4/G4_r2|0", - "metro1/pop2/G7/G7_r3|metro2/pop2/G7/G7_r3|0", - "metro1/pop2/G7/G7_r2|metro2/pop2/G7/G7_r2|0", - "metro1/pop1/G3/G3_r1|metro2/pop1/G3/G3_r1|0", - "metro1/pop1/G2/G2_r2|metro5/pop1/G2/G2_r2|0", - "metro1/pop1/G1/G1_r1|metro5/pop1/G1/G1_r1|0", - "metro1/pop1/G4/G4_r1|metro5/pop1/G4/G4_r1|0", - "metro1/pop2/G3/G3_r3|metro2/pop2/G3/G3_r3|0", - "metro1/pop1/G4/G4_r2|metro2/pop1/G4/G4_r2|0", - "metro1/pop2/G5/G5_r1|metro2/pop2/G5/G5_r1|0", - "metro1/pop1/G1/G1_r3|metro2/pop1/G1/G1_r3|0" + "metro1/pop1/G1/G1_r3|metro5/pop1/G1/G1_r3|0", + "metro1/pop2/G1/G1_r3|metro5/pop2/G1/G1_r3|0", + "metro1/pop2/G5/G5_r2|metro2/pop2/G5/G5_r2|0" ] }, "failure_trace": null, @@ -6604,8 +6604,8 @@ "excluded_nodes": [], "excluded_links": [ "metro2/pop1/G1/G1_r2|metro2/dc1/dc/dc|0", - "metro1/pop1/G6/G6_r1|metro1/dc1/dc/dc|0", - "metro1/pop2/G5/G5_r2|metro1/dc1/dc/dc|0" + "metro1/pop2/G5/G5_r2|metro1/dc1/dc/dc|0", + "metro1/pop1/G6/G6_r1|metro1/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -6714,10 +6714,10 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro2/pop2/G1/G1_r1|metro2/pop2/G2/G2_r3|0", + "metro1/pop1/G7/G7_r1|metro1/pop1/G7/G7_r2|0", "metro2/pop1/G6/G6_r1|metro2/pop1/G7/G7_r3|0", - "metro1/pop1/G7/G7_r1|metro1/pop1/G7/G7_r3|0", - "metro1/pop1/G7/G7_r1|metro1/pop1/G7/G7_r2|0" + "metro2/pop2/G1/G1_r1|metro2/pop2/G2/G2_r3|0", + "metro1/pop1/G7/G7_r1|metro1/pop1/G7/G7_r3|0" ] }, "failure_trace": null, @@ -6816,9 +6816,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro1/pop2/G3/G3_r3|metro1/dc1/dc/dc|0", + "metro1/pop1/G1/G1_r3|metro1/dc1/dc/dc|0", "metro1/pop1/G7/G7_r1|metro1/dc1/dc/dc|0", - "metro1/pop1/G1/G1_r3|metro1/dc1/dc/dc|0" + "metro1/pop2/G3/G3_r3|metro1/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -6925,9 +6925,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro1/pop2/G7/G7_r3|metro1/dc1/dc/dc|0", + "metro5/pop2/G4/G4_r1|metro5/dc1/dc/dc|0", "metro5/pop1/G3/G3_r1|metro5/dc1/dc/dc|0", - "metro5/pop2/G4/G4_r1|metro5/dc1/dc/dc|0" + "metro1/pop2/G7/G7_r3|metro1/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -7037,8 +7037,8 @@ "excluded_nodes": [], "excluded_links": [ "metro2/pop1/G3/G3_r2|metro2/dc1/dc/dc|0", - "metro5/pop2/G2/G2_r1|metro5/dc1/dc/dc|0", - "metro5/pop2/G5/G5_r2|metro5/dc1/dc/dc|0" + "metro5/pop2/G5/G5_r2|metro5/dc1/dc/dc|0", + "metro5/pop2/G2/G2_r1|metro5/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -7146,8 +7146,8 @@ "excluded_nodes": [], "excluded_links": [ "metro5/pop1/G3/G3_r3|metro5/dc1/dc/dc|0", - "metro5/pop2/G5/G5_r3|metro5/dc1/dc/dc|0", - "metro2/pop1/G6/G6_r1|metro2/dc1/dc/dc|0" + "metro2/pop1/G6/G6_r1|metro2/dc1/dc/dc|0", + "metro5/pop2/G5/G5_r3|metro5/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -7471,9 +7471,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro2/pop2/G5/G5_r1|metro2/dc1/dc/dc|0", "metro2/pop2/G1/G1_r2|metro2/dc1/dc/dc|0", - "metro2/pop1/G5/G5_r1|metro2/dc1/dc/dc|0" + "metro2/pop1/G5/G5_r1|metro2/dc1/dc/dc|0", + "metro2/pop2/G5/G5_r1|metro2/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -7692,8 +7692,8 @@ "excluded_nodes": [], "excluded_links": [ "metro2/pop1/G3/G3_r3|metro2/dc1/dc/dc|0", - "metro5/pop1/G1/G1_r3|metro5/dc1/dc/dc|0", - "metro1/pop1/G2/G2_r3|metro1/dc1/dc/dc|0" + "metro1/pop1/G2/G2_r3|metro1/dc1/dc/dc|0", + "metro5/pop1/G1/G1_r3|metro5/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -7798,9 +7798,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro1/pop1/G7/G7_r3|metro1/dc1/dc/dc|0", + "metro5/pop1/G5/G5_r2|metro5/dc1/dc/dc|0", "metro2/pop2/G5/G5_r1|metro2/dc1/dc/dc|0", - "metro5/pop1/G5/G5_r2|metro5/dc1/dc/dc|0" + "metro1/pop1/G7/G7_r3|metro1/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -7909,8 +7909,8 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro5/pop2/G2/G2_r2|metro5/dc1/dc/dc|0", "metro5/pop1/G6/G6_r1|metro5/dc1/dc/dc|0", + "metro5/pop2/G2/G2_r2|metro5/dc1/dc/dc|0", "metro2/pop2/G4/G4_r2|metro2/dc1/dc/dc|0" ] }, @@ -8020,9 +8020,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro2/pop1/G3/G3_r2|metro2/dc1/dc/dc|0", + "metro5/pop1/G7/G7_r1|metro5/dc1/dc/dc|0", "metro2/pop2/G1/G1_r3|metro2/dc1/dc/dc|0", - "metro5/pop1/G7/G7_r1|metro5/dc1/dc/dc|0" + "metro2/pop1/G3/G3_r2|metro2/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -8234,9 +8234,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ + "metro2/pop2/G4/G4_r1|metro2/dc1/dc/dc|0", "metro5/pop1/G3/G3_r1|metro5/dc1/dc/dc|0", - "metro5/pop1/G6/G6_r3|metro5/dc1/dc/dc|0", - "metro2/pop2/G4/G4_r1|metro2/dc1/dc/dc|0" + "metro5/pop1/G6/G6_r3|metro5/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -8867,9 +8867,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro5/pop1/G1/G1_r2|metro5/dc1/dc/dc|0", + "metro2/pop2/G1/G1_r2|metro2/dc1/dc/dc|0", "metro2/pop2/G5/G5_r2|metro2/dc1/dc/dc|0", - "metro2/pop2/G1/G1_r2|metro2/dc1/dc/dc|0" + "metro5/pop1/G1/G1_r2|metro5/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -9079,9 +9079,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro2/pop2/G5/G5_r2|metro2/dc1/dc/dc|0", "metro5/pop2/G4/G4_r3|metro5/dc1/dc/dc|0", - "metro1/pop1/G4/G4_r2|metro1/dc1/dc/dc|0" + "metro1/pop1/G4/G4_r2|metro1/dc1/dc/dc|0", + "metro2/pop2/G5/G5_r2|metro2/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -9293,9 +9293,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro2/pop1/G1/G1_r3|metro2/dc1/dc/dc|0", + "metro2/pop2/G4/G4_r1|metro2/dc1/dc/dc|0", "metro2/pop2/G5/G5_r3|metro2/dc1/dc/dc|0", - "metro2/pop2/G4/G4_r1|metro2/dc1/dc/dc|0" + "metro2/pop1/G1/G1_r3|metro2/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -9505,9 +9505,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro2/pop1/G4/G4_r1|metro2/dc1/dc/dc|0", "metro5/pop1/G1/G1_r3|metro5/dc1/dc/dc|0", - "metro1/pop1/G7/G7_r1|metro1/dc1/dc/dc|0" + "metro1/pop1/G7/G7_r1|metro1/dc1/dc/dc|0", + "metro2/pop1/G4/G4_r1|metro2/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -9827,8 +9827,8 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro5/pop1/G1/G1_r1|metro5/dc1/dc/dc|0", "metro5/pop1/G4/G4_r2|metro5/dc1/dc/dc|0", + "metro5/pop1/G1/G1_r1|metro5/dc1/dc/dc|0", "metro1/pop2/G7/G7_r1|metro1/dc1/dc/dc|0" ] }, @@ -9936,8 +9936,8 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro2/pop1/G7/G7_r2|metro2/dc1/dc/dc|0", "metro5/pop1/G2/G2_r3|metro5/dc1/dc/dc|0", + "metro2/pop1/G7/G7_r2|metro2/dc1/dc/dc|0", "metro5/pop2/G5/G5_r3|metro5/dc1/dc/dc|0" ] }, @@ -10253,8 +10253,8 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro2/pop1/G7/G7_r2|metro2/dc1/dc/dc|0", "metro5/pop1/G6/G6_r1|metro5/dc1/dc/dc|0", + "metro2/pop1/G7/G7_r2|metro2/dc1/dc/dc|0", "metro1/pop2/G4/G4_r3|metro1/dc1/dc/dc|0" ] }, @@ -10366,8 +10366,8 @@ "excluded_links": [ "metro1/pop2/G3/G3_r1|metro1/pop2/G7/G7_r3|0", "metro2/pop2/G2/G2_r2|metro2/pop2/G4/G4_r2|0", - "metro2/pop1/G1/G1_r2|metro2/pop1/G6/G6_r2|0", - "metro1/pop2/G5/G5_r1|metro1/pop2/G5/G5_r3|0" + "metro1/pop2/G5/G5_r1|metro1/pop2/G5/G5_r3|0", + "metro2/pop1/G1/G1_r2|metro2/pop1/G6/G6_r2|0" ] }, "failure_trace": null, @@ -10569,10 +10569,10 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro1/pop2/G4/G4_r2|metro1/pop2/G6/G6_r2|0", "metro2/pop1/G4/G4_r1|metro2/pop1/G5/G5_r3|0", + "metro1/pop2/G1/G1_r3|metro1/pop2/G7/G7_r1|0", "metro1/pop1/G3/G3_r2|metro1/pop1/G5/G5_r2|0", - "metro1/pop2/G1/G1_r3|metro1/pop2/G7/G7_r1|0" + "metro1/pop2/G4/G4_r2|metro1/pop2/G6/G6_r2|0" ] }, "failure_trace": null, @@ -10671,10 +10671,10 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro5/pop1/G2/G2_r1|metro5/pop1/G6/G6_r3|0", - "metro1/pop2/G1/G1_r2|metro1/pop2/G1/G1_r3|0", "metro2/pop1/G3/G3_r1|metro2/pop1/G7/G7_r3|0", - "metro1/pop2/G6/G6_r1|metro1/pop2/G6/G6_r3|0" + "metro1/pop2/G1/G1_r2|metro1/pop2/G1/G1_r3|0", + "metro1/pop2/G6/G6_r1|metro1/pop2/G6/G6_r3|0", + "metro5/pop1/G2/G2_r1|metro5/pop1/G6/G6_r3|0" ] }, "failure_trace": null, @@ -10773,10 +10773,10 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro2/pop1/G1/G1_r1|metro2/pop1/G1/G1_r3|0", + "metro1/pop2/G5/G5_r1|metro1/pop2/G5/G5_r2|0", "metro2/pop2/G5/G5_r1|metro2/pop2/G5/G5_r2|0", "metro5/pop2/G3/G3_r2|metro5/pop2/G3/G3_r3|0", - "metro1/pop2/G5/G5_r1|metro1/pop2/G5/G5_r2|0" + "metro2/pop1/G1/G1_r1|metro2/pop1/G1/G1_r3|0" ] }, "failure_trace": null, @@ -10876,8 +10876,8 @@ "excluded_nodes": [], "excluded_links": [ "metro1/pop1/G3/G3_r3|metro1/dc1/dc/dc|0", - "metro2/pop2/G7/G7_r1|metro2/dc1/dc/dc|0", - "metro5/pop2/G2/G2_r2|metro5/dc1/dc/dc|0" + "metro5/pop2/G2/G2_r2|metro5/dc1/dc/dc|0", + "metro2/pop2/G7/G7_r1|metro2/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -10987,8 +10987,8 @@ "excluded_nodes": [], "excluded_links": [ "metro2/pop2/G4/G4_r3|metro2/dc1/dc/dc|0", - "metro1/pop2/G1/G1_r2|metro1/dc1/dc/dc|0", - "metro1/pop1/G1/G1_r3|metro1/dc1/dc/dc|0" + "metro1/pop1/G1/G1_r3|metro1/dc1/dc/dc|0", + "metro1/pop2/G1/G1_r2|metro1/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -11097,10 +11097,10 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro2/pop2/G3/G3_r2|metro2/pop2/G3/G3_r3|0", "metro2/pop1/G6/G6_r1|metro2/pop1/G6/G6_r2|0", - "metro1/pop1/G6/G6_r2|metro1/pop1/G6/G6_r3|0", - "metro2/pop2/G3/G3_r1|metro2/pop2/G4/G4_r3|0" + "metro2/pop2/G3/G3_r1|metro2/pop2/G4/G4_r3|0", + "metro2/pop2/G3/G3_r2|metro2/pop2/G3/G3_r3|0", + "metro1/pop1/G6/G6_r2|metro1/pop1/G6/G6_r3|0" ] }, "failure_trace": null, @@ -11302,10 +11302,10 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro2/pop1/G4/G4_r1|metro2/pop1/G4/G4_r3|0", - "metro5/pop1/G1/G1_r1|metro5/pop1/G1/G1_r2|0", "metro5/pop2/G1/G1_r2|metro5/pop2/G6/G6_r2|0", - "metro2/pop2/G1/G1_r3|metro2/pop2/G4/G4_r1|0" + "metro2/pop2/G1/G1_r3|metro2/pop2/G4/G4_r1|0", + "metro5/pop1/G1/G1_r1|metro5/pop1/G1/G1_r2|0", + "metro2/pop1/G4/G4_r1|metro2/pop1/G4/G4_r3|0" ] }, "failure_trace": null, @@ -11404,9 +11404,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro5/pop1/G1/G1_r1|metro5/dc1/dc/dc|0", + "metro2/pop1/G2/G2_r2|metro2/dc1/dc/dc|0", "metro5/pop1/G5/G5_r2|metro5/dc1/dc/dc|0", - "metro2/pop1/G2/G2_r2|metro2/dc1/dc/dc|0" + "metro5/pop1/G1/G1_r1|metro5/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -11511,9 +11511,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro1/pop1/G4/G4_r3|metro1/dc1/dc/dc|0", "metro5/pop2/G1/G1_r2|metro5/dc1/dc/dc|0", - "metro2/pop1/G6/G6_r1|metro2/dc1/dc/dc|0" + "metro2/pop1/G6/G6_r1|metro2/dc1/dc/dc|0", + "metro1/pop1/G4/G4_r3|metro1/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -11837,9 +11837,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ + "metro2/pop1/G3/G3_r3|metro2/dc1/dc/dc|0", "metro1/pop2/G2/G2_r1|metro1/dc1/dc/dc|0", - "metro2/pop2/G7/G7_r1|metro2/dc1/dc/dc|0", - "metro2/pop1/G3/G3_r3|metro2/dc1/dc/dc|0" + "metro2/pop2/G7/G7_r1|metro2/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -11949,9 +11949,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro5/pop2/G7/G7_r2|metro5/dc1/dc/dc|0", "metro2/pop1/G2/G2_r2|metro2/dc1/dc/dc|0", - "metro1/pop1/G6/G6_r2|metro1/dc1/dc/dc|0" + "metro1/pop1/G6/G6_r2|metro1/dc1/dc/dc|0", + "metro5/pop2/G7/G7_r2|metro5/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -12060,10 +12060,10 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro2/pop1/G4/G4_r1|metro2/pop1/G5/G5_r3|0", "metro2/pop1/G1/G1_r1|metro2/pop1/G5/G5_r3|0", - "metro1/pop1/G3/G3_r2|metro1/pop1/G3/G3_r3|0", - "metro5/pop1/G3/G3_r1|metro5/pop1/G4/G4_r3|0" + "metro5/pop1/G3/G3_r1|metro5/pop1/G4/G4_r3|0", + "metro2/pop1/G4/G4_r1|metro2/pop1/G5/G5_r3|0", + "metro1/pop1/G3/G3_r2|metro1/pop1/G3/G3_r3|0" ] }, "failure_trace": null, @@ -12162,9 +12162,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro2/pop1/G7/G7_r2|metro2/dc1/dc/dc|0", "metro1/pop2/G6/G6_r3|metro1/dc1/dc/dc|0", - "metro1/pop2/G4/G4_r3|metro1/dc1/dc/dc|0" + "metro1/pop2/G4/G4_r3|metro1/dc1/dc/dc|0", + "metro2/pop1/G7/G7_r2|metro2/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -12383,9 +12383,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro1/pop2/G3/G3_r3|metro1/dc1/dc/dc|0", + "metro5/pop2/G5/G5_r1|metro5/dc1/dc/dc|0", "metro2/pop2/G2/G2_r2|metro2/dc1/dc/dc|0", - "metro5/pop2/G5/G5_r1|metro5/dc1/dc/dc|0" + "metro1/pop2/G3/G3_r3|metro1/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -12491,9 +12491,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro2/pop1/G4/G4_r2|metro2/dc1/dc/dc|0", + "metro1/pop2/G1/G1_r3|metro1/dc1/dc/dc|0", "metro2/pop2/G6/G6_r1|metro2/dc1/dc/dc|0", - "metro1/pop2/G1/G1_r3|metro1/dc1/dc/dc|0" + "metro2/pop1/G4/G4_r2|metro2/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -12706,9 +12706,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ + "metro2/pop2/G4/G4_r2|metro2/dc1/dc/dc|0", "metro1/pop1/G3/G3_r2|metro1/dc1/dc/dc|0", - "metro5/pop2/G3/G3_r1|metro5/dc1/dc/dc|0", - "metro2/pop2/G4/G4_r2|metro2/dc1/dc/dc|0" + "metro5/pop2/G3/G3_r1|metro5/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -13023,10 +13023,10 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro1/pop1/G4/G4_r1|metro1/pop1/G4/G4_r2|0", - "metro5/pop2/G2/G2_r1|metro5/pop2/G6/G6_r3|0", "metro5/pop2/G1/G1_r2|metro5/pop2/G6/G6_r2|0", - "metro2/pop2/G1/G1_r3|metro2/pop2/G4/G4_r1|0" + "metro2/pop2/G1/G1_r3|metro2/pop2/G4/G4_r1|0", + "metro5/pop2/G2/G2_r1|metro5/pop2/G6/G6_r3|0", + "metro1/pop1/G4/G4_r1|metro1/pop1/G4/G4_r2|0" ] }, "failure_trace": null, @@ -13125,9 +13125,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ + "metro1/pop2/G4/G4_r3|metro1/dc1/dc/dc|0", "metro5/pop1/G7/G7_r3|metro5/dc1/dc/dc|0", - "metro5/pop1/G1/G1_r3|metro5/dc1/dc/dc|0", - "metro1/pop2/G4/G4_r3|metro1/dc1/dc/dc|0" + "metro5/pop1/G1/G1_r3|metro5/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -13234,8 +13234,8 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro5/pop1/G3/G3_r3|metro5/dc1/dc/dc|0", "metro5/pop1/G6/G6_r1|metro5/dc1/dc/dc|0", + "metro5/pop1/G3/G3_r3|metro5/dc1/dc/dc|0", "metro1/pop1/G3/G3_r2|metro1/dc1/dc/dc|0" ] }, @@ -13342,8 +13342,8 @@ "excluded_nodes": [], "excluded_links": [ "metro1/pop1/G3/G3_r2|metro1/dc1/dc/dc|0", - "metro1/pop2/G7/G7_r3|metro1/dc1/dc/dc|0", - "metro5/pop1/G4/G4_r2|metro5/dc1/dc/dc|0" + "metro5/pop1/G4/G4_r2|metro5/dc1/dc/dc|0", + "metro1/pop2/G7/G7_r3|metro1/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -13555,9 +13555,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro1/pop2/G3/G3_r1|metro1/dc1/dc/dc|0", + "metro2/pop1/G7/G7_r3|metro2/dc1/dc/dc|0", "metro1/pop1/G5/G5_r3|metro1/dc1/dc/dc|0", - "metro2/pop1/G7/G7_r3|metro2/dc1/dc/dc|0" + "metro1/pop2/G3/G3_r1|metro1/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -13971,9 +13971,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro5/pop1/G4/G4_r1|metro5/pop1/G4/G4_r3|0", "metro1/pop2/G5/G5_r1|metro1/pop2/G5/G5_r2|0", "metro5/pop1/G6/G6_r2|metro5/pop1/G6/G6_r3|0", + "metro5/pop1/G4/G4_r1|metro5/pop1/G4/G4_r3|0", "metro1/pop2/G2/G2_r2|metro1/pop2/G2/G2_r3|0" ] }, @@ -14176,8 +14176,8 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro1/pop1/G3/G3_r2|metro1/dc1/dc/dc|0", "metro2/pop1/G3/G3_r3|metro2/dc1/dc/dc|0", + "metro1/pop1/G3/G3_r2|metro1/dc1/dc/dc|0", "metro1/pop1/G7/G7_r2|metro1/dc1/dc/dc|0" ] }, @@ -14283,9 +14283,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro2/pop2/G1/G1_r1|metro2/dc1/dc/dc|0", "metro2/pop2/G3/G3_r1|metro2/dc1/dc/dc|0", - "metro1/pop1/G6/G6_r1|metro1/dc1/dc/dc|0" + "metro1/pop1/G6/G6_r1|metro1/dc1/dc/dc|0", + "metro2/pop2/G1/G1_r1|metro2/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -14392,9 +14392,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro5/pop2/G3/G3_r1|metro5/dc1/dc/dc|0", "metro2/pop1/G2/G2_r2|metro2/dc1/dc/dc|0", - "metro2/pop1/G2/G2_r1|metro2/dc1/dc/dc|0" + "metro2/pop1/G2/G2_r1|metro2/dc1/dc/dc|0", + "metro5/pop2/G3/G3_r1|metro5/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -14501,10 +14501,10 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro1/pop1/G2/G2_r1|metro1/pop1/G2/G2_r2|0", - "metro2/pop1/G4/G4_r1|metro2/pop1/G4/G4_r2|0", + "metro5/pop1/G2/G2_r2|metro5/pop1/G2/G2_r3|0", "metro5/pop1/G2/G2_r1|metro5/pop1/G2/G2_r2|0", - "metro5/pop1/G2/G2_r2|metro5/pop1/G2/G2_r3|0" + "metro1/pop1/G2/G2_r1|metro1/pop1/G2/G2_r2|0", + "metro2/pop1/G4/G4_r1|metro2/pop1/G4/G4_r2|0" ] }, "failure_trace": null, @@ -14707,8 +14707,8 @@ "excluded_nodes": [], "excluded_links": [ "metro5/pop1/G4/G4_r3|metro5/dc1/dc/dc|0", - "metro5/pop2/G7/G7_r3|metro5/dc1/dc/dc|0", - "metro1/pop1/G6/G6_r2|metro1/dc1/dc/dc|0" + "metro1/pop1/G6/G6_r2|metro1/dc1/dc/dc|0", + "metro5/pop2/G7/G7_r3|metro5/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -14817,10 +14817,10 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro5/pop1/G3/G3_r3|metro5/pop1/G6/G6_r1|0", - "metro1/pop2/G3/G3_r2|metro1/pop2/G3/G3_r3|0", "metro1/pop2/G7/G7_r1|metro1/pop2/G7/G7_r3|0", - "metro2/pop2/G2/G2_r1|metro2/pop2/G6/G6_r3|0" + "metro5/pop1/G3/G3_r3|metro5/pop1/G6/G6_r1|0", + "metro2/pop2/G2/G2_r1|metro2/pop2/G6/G6_r3|0", + "metro1/pop2/G3/G3_r2|metro1/pop2/G3/G3_r3|0" ] }, "failure_trace": null, @@ -15125,9 +15125,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro1/pop1/G5/G5_r3|metro1/dc1/dc/dc|0", "metro5/pop2/G2/G2_r1|metro5/dc1/dc/dc|0", - "metro2/pop2/G3/G3_r2|metro2/dc1/dc/dc|0" + "metro2/pop2/G3/G3_r2|metro2/dc1/dc/dc|0", + "metro1/pop1/G5/G5_r3|metro1/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -15344,8 +15344,8 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro5/pop2/G2/G2_r3|metro5/dc1/dc/dc|0", "metro1/pop2/G5/G5_r3|metro1/dc1/dc/dc|0", + "metro5/pop2/G2/G2_r3|metro5/dc1/dc/dc|0", "metro1/pop1/G5/G5_r2|metro1/dc1/dc/dc|0" ] }, @@ -15455,8 +15455,8 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro1/pop2/G2/G2_r1|metro1/dc1/dc/dc|0", "metro2/pop2/G3/G3_r1|metro2/dc1/dc/dc|0", + "metro1/pop2/G2/G2_r1|metro1/dc1/dc/dc|0", "metro5/pop1/G1/G1_r1|metro5/dc1/dc/dc|0" ] }, @@ -15566,9 +15566,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro2/pop2/G7/G7_r1|metro2/dc1/dc/dc|0", "metro2/pop2/G6/G6_r3|metro2/dc1/dc/dc|0", - "metro1/pop1/G1/G1_r3|metro1/dc1/dc/dc|0" + "metro1/pop1/G1/G1_r3|metro1/dc1/dc/dc|0", + "metro2/pop2/G7/G7_r1|metro2/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -15675,9 +15675,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ + "metro1/pop1/G4/G4_r2|metro1/dc1/dc/dc|0", "metro5/pop2/G7/G7_r1|metro5/dc1/dc/dc|0", - "metro5/pop2/G6/G6_r3|metro5/dc1/dc/dc|0", - "metro1/pop1/G4/G4_r2|metro1/dc1/dc/dc|0" + "metro5/pop2/G6/G6_r3|metro5/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -15784,8 +15784,8 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro5/pop1/G3/G3_r3|metro5/dc1/dc/dc|0", "metro5/pop2/G4/G4_r2|metro5/dc1/dc/dc|0", + "metro5/pop1/G3/G3_r3|metro5/dc1/dc/dc|0", "metro2/pop1/G4/G4_r2|metro2/dc1/dc/dc|0" ] }, @@ -16098,9 +16098,9 @@ "excluded_nodes": [], "excluded_links": [ "metro2/pop2/G4/G4_r2|metro2/pop2/G6/G6_r2|0", + "metro2/pop1/G1/G1_r2|metro2/pop1/G1/G1_r3|0", "metro1/pop2/G3/G3_r1|metro1/pop2/G3/G3_r2|0", - "metro1/pop1/G1/G1_r2|metro1/pop1/G6/G6_r2|0", - "metro2/pop1/G1/G1_r2|metro2/pop1/G1/G1_r3|0" + "metro1/pop1/G1/G1_r2|metro1/pop1/G6/G6_r2|0" ] }, "failure_trace": null, @@ -16302,10 +16302,10 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro1/pop2/G4/G4_r2|metro1/pop2/G6/G6_r2|0", + "metro5/pop1/G4/G4_r1|metro5/pop1/G5/G5_r3|0", "metro2/pop2/G4/G4_r1|metro2/pop2/G4/G4_r2|0", "metro1/pop2/G6/G6_r1|metro1/pop2/G6/G6_r3|0", - "metro5/pop1/G4/G4_r1|metro5/pop1/G5/G5_r3|0" + "metro1/pop2/G4/G4_r2|metro1/pop2/G6/G6_r2|0" ] }, "failure_trace": null, @@ -16404,8 +16404,8 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro2/pop1/G5/G5_r2|metro2/dc1/dc/dc|0", "metro5/pop1/G7/G7_r1|metro5/dc1/dc/dc|0", + "metro2/pop1/G5/G5_r2|metro2/dc1/dc/dc|0", "metro5/pop1/G2/G2_r1|metro5/dc1/dc/dc|0" ] }, @@ -16820,10 +16820,10 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro2/pop2/G2/G2_r2|metro2/pop2/G7/G7_r2|0", - "metro1/pop2/G4/G4_r2|metro1/pop2/G6/G6_r2|0", "metro1/pop1/G2/G2_r3|metro1/pop1/G5/G5_r1|0", - "metro1/pop2/G1/G1_r3|metro1/pop2/G7/G7_r1|0" + "metro2/pop2/G2/G2_r2|metro2/pop2/G7/G7_r2|0", + "metro1/pop2/G1/G1_r3|metro1/pop2/G7/G7_r1|0", + "metro1/pop2/G4/G4_r2|metro1/pop2/G6/G6_r2|0" ] }, "failure_trace": null, @@ -16922,10 +16922,10 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro5/pop1/G4/G4_r2|metro5/pop1/G4/G4_r3|0", + "metro1/pop2/G3/G3_r1|metro1/pop2/G3/G3_r3|0", "metro1/pop1/G6/G6_r1|metro1/pop1/G7/G7_r3|0", - "metro2/pop1/G3/G3_r1|metro2/pop1/G3/G3_r3|0", - "metro1/pop2/G3/G3_r1|metro1/pop2/G3/G3_r3|0" + "metro5/pop1/G4/G4_r2|metro5/pop1/G4/G4_r3|0", + "metro2/pop1/G3/G3_r1|metro2/pop1/G3/G3_r3|0" ] }, "failure_trace": null, @@ -17024,9 +17024,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro1/pop1/G2/G2_r3|metro1/dc1/dc/dc|0", + "metro1/pop2/G1/G1_r3|metro1/dc1/dc/dc|0", "metro1/pop2/G5/G5_r2|metro1/dc1/dc/dc|0", - "metro1/pop2/G1/G1_r3|metro1/dc1/dc/dc|0" + "metro1/pop1/G2/G2_r3|metro1/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -17237,8 +17237,8 @@ "excluded_nodes": [], "excluded_links": [ "metro1/pop1/G3/G3_r2|metro1/dc1/dc/dc|0", - "metro5/pop2/G6/G6_r3|metro5/dc1/dc/dc|0", - "metro1/pop2/G5/G5_r1|metro1/dc1/dc/dc|0" + "metro1/pop2/G5/G5_r1|metro1/dc1/dc/dc|0", + "metro5/pop2/G6/G6_r3|metro5/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -17460,8 +17460,8 @@ "excluded_nodes": [], "excluded_links": [ "metro1/pop1/G6/G6_r1|metro1/dc1/dc/dc|0", - "metro1/pop2/G1/G1_r2|metro1/dc1/dc/dc|0", - "metro1/pop2/G4/G4_r1|metro1/dc1/dc/dc|0" + "metro1/pop2/G4/G4_r1|metro1/dc1/dc/dc|0", + "metro1/pop2/G1/G1_r2|metro1/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -17568,9 +17568,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro1/pop1/G3/G3_r2|metro1/dc1/dc/dc|0", + "metro2/pop2/G1/G1_r2|metro2/dc1/dc/dc|0", "metro2/pop1/G7/G7_r1|metro2/dc1/dc/dc|0", - "metro2/pop2/G1/G1_r2|metro2/dc1/dc/dc|0" + "metro1/pop1/G3/G3_r2|metro1/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -17679,9 +17679,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro5/pop2/G3/G3_r1|metro5/dc1/dc/dc|0", + "metro5/pop2/G3/G3_r2|metro5/dc1/dc/dc|0", "metro5/pop1/G3/G3_r1|metro5/dc1/dc/dc|0", - "metro5/pop2/G3/G3_r2|metro5/dc1/dc/dc|0" + "metro5/pop2/G3/G3_r1|metro5/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -17788,10 +17788,10 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro5/pop2/G1/G1_r1|metro5/pop2/G1/G1_r2|0", + "metro5/pop2/G2/G2_r2|metro5/pop2/G7/G7_r2|0", "metro2/pop1/G2/G2_r2|metro2/pop1/G2/G2_r3|0", - "metro5/pop2/G2/G2_r2|metro5/pop2/G2/G2_r3|0", - "metro5/pop2/G2/G2_r2|metro5/pop2/G7/G7_r2|0" + "metro5/pop2/G1/G1_r1|metro5/pop2/G1/G1_r2|0", + "metro5/pop2/G2/G2_r2|metro5/pop2/G2/G2_r3|0" ] }, "failure_trace": null, @@ -17890,10 +17890,10 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro5/pop2/G5/G5_r2|metro5/pop2/G7/G7_r2|0", - "metro2/pop2/G2/G2_r2|metro2/pop2/G4/G4_r2|0", "metro2/pop1/G6/G6_r1|metro2/pop1/G6/G6_r2|0", - "metro1/pop1/G3/G3_r1|metro1/pop1/G7/G7_r3|0" + "metro2/pop2/G2/G2_r2|metro2/pop2/G4/G4_r2|0", + "metro1/pop1/G3/G3_r1|metro1/pop1/G7/G7_r3|0", + "metro5/pop2/G5/G5_r2|metro5/pop2/G7/G7_r2|0" ] }, "failure_trace": null, @@ -17992,9 +17992,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ + "metro5/pop1/G7/G7_r1|metro5/dc1/dc/dc|0", "metro1/pop2/G2/G2_r1|metro1/dc1/dc/dc|0", - "metro2/pop1/G4/G4_r1|metro2/dc1/dc/dc|0", - "metro5/pop1/G7/G7_r1|metro5/dc1/dc/dc|0" + "metro2/pop1/G4/G4_r1|metro2/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -18412,9 +18412,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro2/pop1/G6/G6_r3|metro2/dc1/dc/dc|0", "metro1/pop2/G1/G1_r2|metro1/dc1/dc/dc|0", - "metro5/pop1/G5/G5_r2|metro5/dc1/dc/dc|0" + "metro5/pop1/G5/G5_r2|metro5/dc1/dc/dc|0", + "metro2/pop1/G6/G6_r3|metro2/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -18523,9 +18523,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro2/pop2/G1/G1_r1|metro2/dc1/dc/dc|0", "metro2/pop2/G3/G3_r1|metro2/dc1/dc/dc|0", - "metro1/pop1/G7/G7_r2|metro1/dc1/dc/dc|0" + "metro1/pop1/G7/G7_r2|metro1/dc1/dc/dc|0", + "metro2/pop2/G1/G1_r1|metro2/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -18632,8 +18632,8 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro1/pop2/G1/G1_r1|metro1/dc1/dc/dc|0", "metro2/pop1/G1/G1_r1|metro2/dc1/dc/dc|0", + "metro1/pop2/G1/G1_r1|metro1/dc1/dc/dc|0", "metro1/pop1/G2/G2_r3|metro1/dc1/dc/dc|0" ] }, @@ -18743,8 +18743,8 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro5/pop2/G1/G1_r2|metro5/dc1/dc/dc|0", "metro1/pop2/G3/G3_r2|metro1/dc1/dc/dc|0", + "metro5/pop2/G1/G1_r2|metro5/dc1/dc/dc|0", "metro2/pop1/G6/G6_r3|metro2/dc1/dc/dc|0" ] }, @@ -18856,8 +18856,8 @@ "excluded_nodes": [], "excluded_links": [ "metro5/pop1/G4/G4_r3|metro5/dc1/dc/dc|0", - "metro5/pop1/G1/G1_r1|metro5/dc1/dc/dc|0", - "metro5/pop2/G3/G3_r3|metro5/dc1/dc/dc|0" + "metro5/pop2/G3/G3_r3|metro5/dc1/dc/dc|0", + "metro5/pop1/G1/G1_r1|metro5/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -18964,10 +18964,10 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro1/pop1/G3/G3_r1|metro1/pop1/G4/G4_r3|0", "metro2/pop2/G3/G3_r1|metro2/pop2/G3/G3_r2|0", - "metro2/pop1/G4/G4_r2|metro2/pop1/G4/G4_r3|0", - "metro1/pop1/G3/G3_r2|metro1/pop1/G5/G5_r2|0" + "metro1/pop1/G3/G3_r1|metro1/pop1/G4/G4_r3|0", + "metro1/pop1/G3/G3_r2|metro1/pop1/G5/G5_r2|0", + "metro2/pop1/G4/G4_r2|metro2/pop1/G4/G4_r3|0" ] }, "failure_trace": null, @@ -19170,8 +19170,8 @@ "excluded_nodes": [], "excluded_links": [ "metro1/pop1/G7/G7_r1|metro1/dc1/dc/dc|0", - "metro5/pop2/G3/G3_r1|metro5/dc1/dc/dc|0", - "metro5/pop2/G7/G7_r3|metro5/dc1/dc/dc|0" + "metro5/pop2/G7/G7_r3|metro5/dc1/dc/dc|0", + "metro5/pop2/G3/G3_r1|metro5/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -19278,10 +19278,10 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ + "metro2/pop2/G2/G2_r2|metro2/pop2/G4/G4_r2|0", "metro5/pop2/G1/G1_r3|metro5/pop2/G4/G4_r1|0", "metro5/pop2/G4/G4_r1|metro5/pop2/G4/G4_r3|0", - "metro2/pop2/G2/G2_r1|metro2/pop2/G2/G2_r3|0", - "metro2/pop2/G2/G2_r2|metro2/pop2/G4/G4_r2|0" + "metro2/pop2/G2/G2_r1|metro2/pop2/G2/G2_r3|0" ] }, "failure_trace": null, @@ -19490,8 +19490,8 @@ "excluded_nodes": [], "excluded_links": [ "metro5/pop1/G2/G2_r3|metro5/dc1/dc/dc|0", - "metro1/pop1/G7/G7_r1|metro1/dc1/dc/dc|0", - "metro2/pop2/G3/G3_r3|metro2/dc1/dc/dc|0" + "metro2/pop2/G3/G3_r3|metro2/dc1/dc/dc|0", + "metro1/pop1/G7/G7_r1|metro1/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -19600,10 +19600,10 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro1/pop1/G2/G2_r2|metro1/pop1/G7/G7_r2|0", "metro2/pop1/G5/G5_r2|metro2/pop1/G5/G5_r3|0", - "metro2/pop1/G4/G4_r2|metro2/pop1/G6/G6_r2|0", - "metro5/pop1/G4/G4_r1|metro5/pop1/G5/G5_r3|0" + "metro5/pop1/G4/G4_r1|metro5/pop1/G5/G5_r3|0", + "metro1/pop1/G2/G2_r2|metro1/pop1/G7/G7_r2|0", + "metro2/pop1/G4/G4_r2|metro2/pop1/G6/G6_r2|0" ] }, "failure_trace": null, @@ -19908,9 +19908,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro5/pop1/G6/G6_r2|metro5/dc1/dc/dc|0", "metro2/pop2/G3/G3_r1|metro2/dc1/dc/dc|0", - "metro5/pop2/G2/G2_r3|metro5/dc1/dc/dc|0" + "metro5/pop2/G2/G2_r3|metro5/dc1/dc/dc|0", + "metro5/pop1/G6/G6_r2|metro5/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -20122,8 +20122,8 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro1/pop1/G3/G3_r3|metro1/dc1/dc/dc|0", "metro2/pop2/G6/G6_r1|metro2/dc1/dc/dc|0", + "metro1/pop1/G3/G3_r3|metro1/dc1/dc/dc|0", "metro1/pop2/G1/G1_r2|metro1/dc1/dc/dc|0" ] }, @@ -20544,10 +20544,10 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ + "metro1/pop1/G7/G7_r1|metro1/pop1/G7/G7_r2|0", "metro2/pop1/G2/G2_r1|metro2/pop1/G2/G2_r2|0", "metro1/pop1/G2/G2_r1|metro1/pop1/G2/G2_r2|0", - "metro2/pop1/G7/G7_r1|metro2/pop1/G7/G7_r3|0", - "metro1/pop1/G7/G7_r1|metro1/pop1/G7/G7_r2|0" + "metro2/pop1/G7/G7_r1|metro2/pop1/G7/G7_r3|0" ] }, "failure_trace": null, @@ -20749,9 +20749,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ + "metro5/pop2/G1/G1_r2|metro5/dc1/dc/dc|0", "metro2/pop1/G5/G5_r2|metro2/dc1/dc/dc|0", - "metro1/pop2/G3/G3_r1|metro1/dc1/dc/dc|0", - "metro5/pop2/G1/G1_r2|metro5/dc1/dc/dc|0" + "metro1/pop2/G3/G3_r1|metro1/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -20861,9 +20861,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro1/pop2/G7/G7_r3|metro1/dc1/dc/dc|0", "metro5/pop1/G2/G2_r2|metro5/dc1/dc/dc|0", - "metro5/pop2/G5/G5_r3|metro5/dc1/dc/dc|0" + "metro5/pop2/G5/G5_r3|metro5/dc1/dc/dc|0", + "metro1/pop2/G7/G7_r3|metro1/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -21075,9 +21075,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro1/pop1/G4/G4_r3|metro1/dc1/dc/dc|0", + "metro1/pop1/G5/G5_r1|metro1/dc1/dc/dc|0", "metro2/pop1/G6/G6_r1|metro2/dc1/dc/dc|0", - "metro1/pop1/G5/G5_r1|metro1/dc1/dc/dc|0" + "metro1/pop1/G4/G4_r3|metro1/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -21182,9 +21182,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro2/pop1/G2/G2_r3|metro2/dc1/dc/dc|0", + "metro1/pop2/G1/G1_r2|metro1/dc1/dc/dc|0", "metro2/pop2/G2/G2_r1|metro2/dc1/dc/dc|0", - "metro1/pop2/G1/G1_r2|metro1/dc1/dc/dc|0" + "metro2/pop1/G2/G2_r3|metro2/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -21295,8 +21295,8 @@ "excluded_nodes": [], "excluded_links": [ "metro5/pop2/G7/G7_r1|metro5/dc1/dc/dc|0", - "metro5/pop2/G2/G2_r3|metro5/dc1/dc/dc|0", - "metro5/pop2/G7/G7_r3|metro5/dc1/dc/dc|0" + "metro5/pop2/G7/G7_r3|metro5/dc1/dc/dc|0", + "metro5/pop2/G2/G2_r3|metro5/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -21400,8 +21400,8 @@ "excluded_nodes": [], "excluded_links": [ "metro5/pop2/G2/G2_r3|metro5/dc1/dc/dc|0", - "metro5/pop2/G3/G3_r2|metro5/dc1/dc/dc|0", - "metro5/pop2/G6/G6_r2|metro5/dc1/dc/dc|0" + "metro5/pop2/G6/G6_r2|metro5/dc1/dc/dc|0", + "metro5/pop2/G3/G3_r2|metro5/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -21504,9 +21504,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ + "metro2/pop2/G6/G6_r2|metro2/dc1/dc/dc|0", "metro5/pop2/G4/G4_r2|metro5/dc1/dc/dc|0", - "metro1/pop2/G4/G4_r3|metro1/dc1/dc/dc|0", - "metro2/pop2/G6/G6_r2|metro2/dc1/dc/dc|0" + "metro1/pop2/G4/G4_r3|metro1/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -21612,8 +21612,8 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro2/pop1/G1/G1_r2|metro2/dc1/dc/dc|0", "metro5/pop2/G7/G7_r2|metro5/dc1/dc/dc|0", + "metro2/pop1/G1/G1_r2|metro2/dc1/dc/dc|0", "metro5/pop2/G5/G5_r3|metro5/dc1/dc/dc|0" ] }, @@ -21721,10 +21721,10 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro5/pop2/G1/G1_r1|metro5/pop2/G2/G2_r3|0", - "metro2/pop2/G1/G1_r2|metro2/pop2/G3/G3_r2|0", "metro2/pop1/G3/G3_r1|metro2/pop1/G3/G3_r3|0", - "metro1/pop2/G3/G3_r2|metro1/pop2/G3/G3_r3|0" + "metro5/pop2/G1/G1_r1|metro5/pop2/G2/G2_r3|0", + "metro1/pop2/G3/G3_r2|metro1/pop2/G3/G3_r3|0", + "metro2/pop2/G1/G1_r2|metro2/pop2/G3/G3_r2|0" ] }, "failure_trace": null, @@ -21823,9 +21823,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro2/pop1/G4/G4_r1|metro2/dc1/dc/dc|0", + "metro1/pop1/G6/G6_r2|metro1/dc1/dc/dc|0", "metro5/pop1/G4/G4_r2|metro5/dc1/dc/dc|0", - "metro1/pop1/G6/G6_r2|metro1/dc1/dc/dc|0" + "metro2/pop1/G4/G4_r1|metro2/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -21930,9 +21930,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ + "metro2/pop2/G1/G1_r2|metro2/dc1/dc/dc|0", "metro1/pop2/G2/G2_r1|metro1/dc1/dc/dc|0", - "metro5/pop2/G7/G7_r2|metro5/dc1/dc/dc|0", - "metro2/pop2/G1/G1_r2|metro2/dc1/dc/dc|0" + "metro5/pop2/G7/G7_r2|metro5/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -22039,8 +22039,8 @@ "excluded_nodes": [], "excluded_links": [ "metro2/pop1/G7/G7_r2|metro2/dc1/dc/dc|0", - "metro1/pop1/G3/G3_r1|metro1/dc1/dc/dc|0", - "metro1/pop1/G5/G5_r1|metro1/dc1/dc/dc|0" + "metro1/pop1/G5/G5_r1|metro1/dc1/dc/dc|0", + "metro1/pop1/G3/G3_r1|metro1/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -22145,10 +22145,10 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro2/pop1/G4/G4_r3|metro2/pop1/G7/G7_r1|0", + "metro5/pop1/G2/G2_r1|metro5/pop1/G2/G2_r3|0", "metro1/pop1/G2/G2_r2|metro1/pop1/G2/G2_r3|0", - "metro5/pop1/G3/G3_r2|metro5/pop1/G3/G3_r3|0", - "metro5/pop1/G2/G2_r1|metro5/pop1/G2/G2_r3|0" + "metro2/pop1/G4/G4_r3|metro2/pop1/G7/G7_r1|0", + "metro5/pop1/G3/G3_r2|metro5/pop1/G3/G3_r3|0" ] }, "failure_trace": null, @@ -22351,8 +22351,8 @@ "excluded_nodes": [], "excluded_links": [ "metro1/pop2/G6/G6_r3|metro1/dc1/dc/dc|0", - "metro5/pop2/G1/G1_r1|metro5/dc1/dc/dc|0", - "metro2/pop2/G4/G4_r2|metro2/dc1/dc/dc|0" + "metro2/pop2/G4/G4_r2|metro2/dc1/dc/dc|0", + "metro5/pop2/G1/G1_r1|metro5/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -22459,8 +22459,8 @@ "excluded_nodes": [], "excluded_links": [ "metro1/pop1/G6/G6_r1|metro1/dc1/dc/dc|0", - "metro5/pop2/G1/G1_r1|metro5/dc1/dc/dc|0", - "metro1/pop1/G5/G5_r1|metro1/dc1/dc/dc|0" + "metro1/pop1/G5/G5_r1|metro1/dc1/dc/dc|0", + "metro5/pop2/G1/G1_r1|metro5/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -22567,9 +22567,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro5/pop2/G7/G7_r1|metro5/dc1/dc/dc|0", "metro5/pop1/G2/G2_r2|metro5/dc1/dc/dc|0", - "metro2/pop2/G5/G5_r3|metro2/dc1/dc/dc|0" + "metro2/pop2/G5/G5_r3|metro2/dc1/dc/dc|0", + "metro5/pop2/G7/G7_r1|metro5/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -22782,8 +22782,8 @@ "excluded_nodes": [], "excluded_links": [ "metro2/pop2/G4/G4_r3|metro2/dc1/dc/dc|0", - "metro2/pop2/G7/G7_r2|metro2/dc1/dc/dc|0", - "metro1/pop1/G5/G5_r3|metro1/dc1/dc/dc|0" + "metro1/pop1/G5/G5_r3|metro1/dc1/dc/dc|0", + "metro2/pop2/G7/G7_r2|metro2/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -22993,9 +22993,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ + "metro2/pop2/G4/G4_r1|metro2/dc1/dc/dc|0", "metro5/pop2/G1/G1_r2|metro5/dc1/dc/dc|0", - "metro2/pop1/G5/G5_r3|metro2/dc1/dc/dc|0", - "metro2/pop2/G4/G4_r1|metro2/dc1/dc/dc|0" + "metro2/pop1/G5/G5_r3|metro2/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -23104,9 +23104,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro2/pop2/G4/G4_r3|metro2/dc1/dc/dc|0", "metro5/pop1/G6/G6_r1|metro5/dc1/dc/dc|0", - "metro5/pop1/G5/G5_r2|metro5/dc1/dc/dc|0" + "metro5/pop1/G5/G5_r2|metro5/dc1/dc/dc|0", + "metro2/pop2/G4/G4_r3|metro2/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -23316,8 +23316,8 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro1/pop1/G3/G3_r3|metro1/dc1/dc/dc|0", "metro2/pop2/G7/G7_r2|metro2/dc1/dc/dc|0", + "metro1/pop1/G3/G3_r3|metro1/dc1/dc/dc|0", "metro2/pop2/G2/G2_r3|metro2/dc1/dc/dc|0" ] }, @@ -23534,8 +23534,8 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro2/pop2/G5/G5_r2|metro2/dc1/dc/dc|0", "metro2/pop1/G1/G1_r2|metro2/dc1/dc/dc|0", + "metro2/pop2/G5/G5_r2|metro2/dc1/dc/dc|0", "metro2/pop2/G4/G4_r2|metro2/dc1/dc/dc|0" ] }, @@ -23643,10 +23643,10 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro5/pop1/G5/G5_r1|metro5/pop1/G6/G6_r3|0", "metro1/pop1/G4/G4_r2|metro1/pop1/G6/G6_r2|0", "metro5/pop1/G3/G3_r1|metro5/pop1/G3/G3_r2|0", - "metro5/pop2/G3/G3_r1|metro5/pop2/G7/G7_r3|0" + "metro5/pop2/G3/G3_r1|metro5/pop2/G7/G7_r3|0", + "metro5/pop1/G5/G5_r1|metro5/pop1/G6/G6_r3|0" ] }, "failure_trace": null, @@ -23745,9 +23745,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ + "metro5/pop1/G7/G7_r1|metro5/dc1/dc/dc|0", "metro2/pop2/G2/G2_r1|metro2/dc1/dc/dc|0", - "metro2/pop1/G5/G5_r3|metro2/dc1/dc/dc|0", - "metro5/pop1/G7/G7_r1|metro5/dc1/dc/dc|0" + "metro2/pop1/G5/G5_r3|metro2/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -23959,9 +23959,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro5/pop1/G6/G6_r2|metro5/dc1/dc/dc|0", "metro1/pop1/G6/G6_r2|metro1/dc1/dc/dc|0", - "metro2/pop1/G6/G6_r1|metro2/dc1/dc/dc|0" + "metro2/pop1/G6/G6_r1|metro2/dc1/dc/dc|0", + "metro5/pop1/G6/G6_r2|metro5/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -24274,9 +24274,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ + "metro5/pop2/G6/G6_r2|metro5/dc1/dc/dc|0", "metro5/pop1/G2/G2_r1|metro5/dc1/dc/dc|0", - "metro5/pop2/G2/G2_r2|metro5/dc1/dc/dc|0", - "metro5/pop2/G6/G6_r2|metro5/dc1/dc/dc|0" + "metro5/pop2/G2/G2_r2|metro5/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -24383,9 +24383,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro1/pop1/G4/G4_r3|metro1/dc1/dc/dc|0", "metro2/pop1/G1/G1_r3|metro2/dc1/dc/dc|0", - "metro2/pop1/G5/G5_r1|metro2/dc1/dc/dc|0" + "metro2/pop1/G5/G5_r1|metro2/dc1/dc/dc|0", + "metro1/pop1/G4/G4_r3|metro1/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -24490,10 +24490,10 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro5/pop1/G2/G2_r3|metro5/pop1/G5/G5_r1|0", + "metro2/pop2/G1/G1_r1|metro2/pop2/G1/G1_r2|0", "metro1/pop1/G2/G2_r2|metro1/pop1/G2/G2_r3|0", "metro1/pop2/G1/G1_r1|metro1/pop2/G1/G1_r3|0", - "metro2/pop2/G1/G1_r1|metro2/pop2/G1/G1_r2|0" + "metro5/pop1/G2/G2_r3|metro5/pop1/G5/G5_r1|0" ] }, "failure_trace": null, @@ -24702,8 +24702,8 @@ "excluded_nodes": [], "excluded_links": [ "metro5/pop1/G3/G3_r3|metro5/dc1/dc/dc|0", - "metro1/pop1/G3/G3_r3|metro1/dc1/dc/dc|0", - "metro5/pop2/G7/G7_r3|metro5/dc1/dc/dc|0" + "metro5/pop2/G7/G7_r3|metro5/dc1/dc/dc|0", + "metro1/pop1/G3/G3_r3|metro1/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -25026,9 +25026,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ + "metro2/pop2/G6/G6_r2|metro2/dc1/dc/dc|0", "metro1/pop1/G2/G2_r2|metro1/dc1/dc/dc|0", - "metro1/pop2/G3/G3_r1|metro1/dc1/dc/dc|0", - "metro2/pop2/G6/G6_r2|metro2/dc1/dc/dc|0" + "metro1/pop2/G3/G3_r1|metro1/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -25351,9 +25351,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ + "metro5/pop2/G4/G4_r1|metro5/dc1/dc/dc|0", "metro2/pop1/G1/G1_r1|metro2/dc1/dc/dc|0", - "metro5/pop1/G1/G1_r1|metro5/dc1/dc/dc|0", - "metro5/pop2/G4/G4_r1|metro5/dc1/dc/dc|0" + "metro5/pop1/G1/G1_r1|metro5/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -25572,8 +25572,8 @@ "excluded_nodes": [], "excluded_links": [ "metro1/pop2/G4/G4_r2|metro1/dc1/dc/dc|0", - "metro5/pop1/G1/G1_r3|metro5/dc1/dc/dc|0", - "metro5/pop2/G6/G6_r2|metro5/dc1/dc/dc|0" + "metro5/pop2/G6/G6_r2|metro5/dc1/dc/dc|0", + "metro5/pop1/G1/G1_r3|metro5/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -25683,9 +25683,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro2/pop1/G4/G4_r2|metro2/dc1/dc/dc|0", "metro5/pop1/G4/G4_r2|metro5/dc1/dc/dc|0", - "metro5/pop2/G3/G3_r2|metro5/dc1/dc/dc|0" + "metro5/pop2/G3/G3_r2|metro5/dc1/dc/dc|0", + "metro2/pop1/G4/G4_r2|metro2/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -25794,9 +25794,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro1/pop1/G6/G6_r1|metro1/dc1/dc/dc|0", "metro2/pop1/G3/G3_r3|metro2/dc1/dc/dc|0", - "metro2/pop2/G3/G3_r2|metro2/dc1/dc/dc|0" + "metro2/pop2/G3/G3_r2|metro2/dc1/dc/dc|0", + "metro1/pop1/G6/G6_r1|metro1/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -26008,9 +26008,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ + "metro2/pop2/G4/G4_r1|metro2/dc1/dc/dc|0", "metro2/pop2/G5/G5_r2|metro2/dc1/dc/dc|0", - "metro1/pop1/G6/G6_r1|metro1/dc1/dc/dc|0", - "metro2/pop2/G4/G4_r1|metro2/dc1/dc/dc|0" + "metro1/pop1/G6/G6_r1|metro1/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -26118,8 +26118,8 @@ "excluded_nodes": [], "excluded_links": [ "metro2/pop2/G6/G6_r2|metro2/dc1/dc/dc|0", - "metro5/pop1/G5/G5_r3|metro5/dc1/dc/dc|0", - "metro2/pop1/G6/G6_r1|metro2/dc1/dc/dc|0" + "metro2/pop1/G6/G6_r1|metro2/dc1/dc/dc|0", + "metro5/pop1/G5/G5_r3|metro5/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -26228,9 +26228,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ + "metro5/pop2/G3/G3_r2|metro5/dc1/dc/dc|0", "metro2/pop1/G3/G3_r1|metro2/dc1/dc/dc|0", - "metro2/pop2/G1/G1_r1|metro2/dc1/dc/dc|0", - "metro5/pop2/G3/G3_r2|metro5/dc1/dc/dc|0" + "metro2/pop2/G1/G1_r1|metro2/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -26447,8 +26447,8 @@ "excluded_nodes": [], "excluded_links": [ "metro1/pop1/G2/G2_r2|metro1/pop1/G4/G4_r2|0", - "metro2/pop1/G4/G4_r3|metro2/pop1/G7/G7_r1|0", "metro2/pop1/G1/G1_r3|metro2/pop1/G4/G4_r1|0", + "metro2/pop1/G4/G4_r3|metro2/pop1/G7/G7_r1|0", "metro2/pop2/G5/G5_r1|metro2/pop2/G5/G5_r3|0" ] }, @@ -26651,9 +26651,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ + "metro5/pop2/G5/G5_r1|metro5/dc1/dc/dc|0", "metro1/pop1/G1/G1_r2|metro1/dc1/dc/dc|0", - "metro2/pop2/G7/G7_r3|metro2/dc1/dc/dc|0", - "metro5/pop2/G5/G5_r1|metro5/dc1/dc/dc|0" + "metro2/pop2/G7/G7_r3|metro2/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -26763,9 +26763,9 @@ "excluded_nodes": [], "excluded_links": [ "metro5/pop2/G1/G1_r3|metro5/pop2/G7/G7_r1|0", + "metro1/pop2/G1/G1_r1|metro1/pop2/G1/G1_r2|0", "metro5/pop2/G1/G1_r2|metro5/pop2/G1/G1_r3|0", - "metro1/pop1/G3/G3_r2|metro1/pop1/G5/G5_r2|0", - "metro1/pop2/G1/G1_r1|metro1/pop2/G1/G1_r2|0" + "metro1/pop1/G3/G3_r2|metro1/pop1/G5/G5_r2|0" ] }, "failure_trace": null, @@ -26864,9 +26864,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro5/pop1/G4/G4_r3|metro5/dc1/dc/dc|0", "metro5/pop1/G3/G3_r2|metro5/dc1/dc/dc|0", - "metro5/pop2/G5/G5_r2|metro5/dc1/dc/dc|0" + "metro5/pop2/G5/G5_r2|metro5/dc1/dc/dc|0", + "metro5/pop1/G4/G4_r3|metro5/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -27086,8 +27086,8 @@ "excluded_nodes": [], "excluded_links": [ "metro5/pop1/G6/G6_r1|metro5/dc1/dc/dc|0", - "metro5/pop2/G3/G3_r1|metro5/dc1/dc/dc|0", - "metro5/pop2/G2/G2_r2|metro5/dc1/dc/dc|0" + "metro5/pop2/G2/G2_r2|metro5/dc1/dc/dc|0", + "metro5/pop2/G3/G3_r1|metro5/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -27195,8 +27195,8 @@ "excluded_nodes": [], "excluded_links": [ "metro5/pop1/G4/G4_r3|metro5/dc1/dc/dc|0", - "metro2/pop2/G2/G2_r2|metro2/dc1/dc/dc|0", - "metro1/pop1/G6/G6_r2|metro1/dc1/dc/dc|0" + "metro1/pop1/G6/G6_r2|metro1/dc1/dc/dc|0", + "metro2/pop2/G2/G2_r2|metro2/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -27416,9 +27416,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ + "metro1/pop1/G1/G1_r2|metro1/dc1/dc/dc|0", "metro1/pop2/G2/G2_r1|metro1/dc1/dc/dc|0", - "metro1/pop2/G7/G7_r3|metro1/dc1/dc/dc|0", - "metro1/pop1/G1/G1_r2|metro1/dc1/dc/dc|0" + "metro1/pop2/G7/G7_r3|metro1/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -27525,10 +27525,10 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro2/pop2/G3/G3_r1|metro2/pop2/G7/G7_r3|0", - "metro1/pop1/G1/G1_r2|metro1/pop1/G1/G1_r3|0", "metro5/pop2/G1/G1_r1|metro5/pop2/G1/G1_r2|0", - "metro2/pop1/G1/G1_r3|metro2/pop1/G7/G7_r1|0" + "metro2/pop1/G1/G1_r3|metro2/pop1/G7/G7_r1|0", + "metro2/pop2/G3/G3_r1|metro2/pop2/G7/G7_r3|0", + "metro1/pop1/G1/G1_r2|metro1/pop1/G1/G1_r3|0" ] }, "failure_trace": null, @@ -27839,9 +27839,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro5/pop1/G1/G1_r2|metro5/dc1/dc/dc|0", "metro5/pop1/G5/G5_r2|metro5/dc1/dc/dc|0", - "metro5/pop1/G2/G2_r1|metro5/dc1/dc/dc|0" + "metro5/pop1/G2/G2_r1|metro5/dc1/dc/dc|0", + "metro5/pop1/G1/G1_r2|metro5/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -27944,10 +27944,10 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro1/pop2/G2/G2_r1|metro1/pop2/G3/G3_r3|0", - "metro2/pop1/G2/G2_r3|metro2/pop1/G5/G5_r1|0", "metro2/pop1/G3/G3_r1|metro2/pop1/G7/G7_r3|0", - "metro1/pop1/G5/G5_r2|metro1/pop1/G5/G5_r3|0" + "metro1/pop1/G5/G5_r2|metro1/pop1/G5/G5_r3|0", + "metro2/pop1/G2/G2_r3|metro2/pop1/G5/G5_r1|0", + "metro1/pop2/G2/G2_r1|metro1/pop2/G3/G3_r3|0" ] }, "failure_trace": null, @@ -28046,9 +28046,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro1/pop2/G7/G7_r1|metro1/dc1/dc/dc|0", + "metro2/pop2/G6/G6_r2|metro2/dc1/dc/dc|0", "metro5/pop2/G3/G3_r2|metro5/dc1/dc/dc|0", - "metro2/pop2/G6/G6_r2|metro2/dc1/dc/dc|0" + "metro1/pop2/G7/G7_r1|metro1/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -28154,8 +28154,8 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro1/pop2/G5/G5_r3|metro1/dc1/dc/dc|0", "metro2/pop1/G3/G3_r3|metro2/dc1/dc/dc|0", + "metro1/pop2/G5/G5_r3|metro1/dc1/dc/dc|0", "metro1/pop1/G1/G1_r1|metro1/dc1/dc/dc|0" ] }, @@ -28265,9 +28265,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro1/pop1/G4/G4_r3|metro1/dc1/dc/dc|0", "metro5/pop1/G6/G6_r1|metro5/dc1/dc/dc|0", - "metro2/pop2/G5/G5_r3|metro2/dc1/dc/dc|0" + "metro2/pop2/G5/G5_r3|metro2/dc1/dc/dc|0", + "metro1/pop1/G4/G4_r3|metro1/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -28479,8 +28479,8 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro5/pop2/G4/G4_r2|metro5/dc1/dc/dc|0", "metro5/pop2/G2/G2_r1|metro5/dc1/dc/dc|0", + "metro5/pop2/G4/G4_r2|metro5/dc1/dc/dc|0", "metro1/pop1/G2/G2_r1|metro1/dc1/dc/dc|0" ] }, @@ -28588,9 +28588,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ + "metro5/pop1/G7/G7_r1|metro5/dc1/dc/dc|0", "metro5/pop2/G5/G5_r2|metro5/dc1/dc/dc|0", - "metro5/pop1/G4/G4_r2|metro5/dc1/dc/dc|0", - "metro5/pop1/G7/G7_r1|metro5/dc1/dc/dc|0" + "metro5/pop1/G4/G4_r2|metro5/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -28698,8 +28698,8 @@ "excluded_nodes": [], "excluded_links": [ "metro2/pop1/G3/G3_r1|metro2/dc1/dc/dc|0", - "metro2/pop1/G2/G2_r1|metro2/dc1/dc/dc|0", - "metro1/pop1/G6/G6_r2|metro1/dc1/dc/dc|0" + "metro1/pop1/G6/G6_r2|metro1/dc1/dc/dc|0", + "metro2/pop1/G2/G2_r1|metro2/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -29223,10 +29223,10 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro1/pop1/G4/G4_r2|metro1/pop1/G6/G6_r2|0", "metro1/pop1/G3/G3_r2|metro1/pop1/G3/G3_r3|0", "metro1/pop1/G1/G1_r2|metro1/pop1/G6/G6_r2|0", - "metro1/pop2/G2/G2_r2|metro1/pop2/G2/G2_r3|0" + "metro1/pop2/G2/G2_r2|metro1/pop2/G2/G2_r3|0", + "metro1/pop1/G4/G4_r2|metro1/pop1/G6/G6_r2|0" ] }, "failure_trace": null, @@ -29326,9 +29326,9 @@ "excluded_nodes": [], "excluded_links": [ "metro2/pop1/G6/G6_r1|metro2/pop1/G7/G7_r3|0", - "metro1/pop1/G1/G1_r2|metro1/pop1/G1/G1_r3|0", "metro1/pop2/G1/G1_r2|metro1/pop2/G6/G6_r2|0", - "metro5/pop2/G1/G1_r1|metro5/pop2/G5/G5_r3|0" + "metro5/pop2/G1/G1_r1|metro5/pop2/G5/G5_r3|0", + "metro1/pop1/G1/G1_r2|metro1/pop1/G1/G1_r3|0" ] }, "failure_trace": null, @@ -29427,8 +29427,8 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro2/pop2/G4/G4_r3|metro2/dc1/dc/dc|0", "metro2/pop2/G2/G2_r2|metro2/dc1/dc/dc|0", + "metro2/pop2/G4/G4_r3|metro2/dc1/dc/dc|0", "metro5/pop2/G5/G5_r3|metro5/dc1/dc/dc|0" ] }, @@ -29637,9 +29637,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ + "metro1/pop2/G4/G4_r3|metro1/dc1/dc/dc|0", "metro2/pop2/G5/G5_r1|metro2/dc1/dc/dc|0", - "metro2/pop2/G7/G7_r3|metro2/dc1/dc/dc|0", - "metro1/pop2/G4/G4_r3|metro1/dc1/dc/dc|0" + "metro2/pop2/G7/G7_r3|metro2/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -29745,9 +29745,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ + "metro2/pop2/G6/G6_r2|metro2/dc1/dc/dc|0", "metro1/pop1/G4/G4_r1|metro1/dc1/dc/dc|0", - "metro5/pop1/G5/G5_r2|metro5/dc1/dc/dc|0", - "metro2/pop2/G6/G6_r2|metro2/dc1/dc/dc|0" + "metro5/pop1/G5/G5_r2|metro5/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -29856,9 +29856,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ + "metro1/pop1/G2/G2_r1|metro1/dc1/dc/dc|0", "metro2/pop1/G1/G1_r2|metro2/dc1/dc/dc|0", - "metro5/pop1/G1/G1_r3|metro5/dc1/dc/dc|0", - "metro1/pop1/G2/G2_r1|metro1/dc1/dc/dc|0" + "metro5/pop1/G1/G1_r3|metro5/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -29963,9 +29963,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro1/pop1/G2/G2_r2|metro1/dc1/dc/dc|0", "metro2/pop2/G5/G5_r3|metro2/dc1/dc/dc|0", - "metro5/pop2/G5/G5_r2|metro5/dc1/dc/dc|0" + "metro5/pop2/G5/G5_r2|metro5/dc1/dc/dc|0", + "metro1/pop1/G2/G2_r2|metro1/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -30074,8 +30074,8 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro1/pop1/G3/G3_r3|metro1/dc1/dc/dc|0", "metro2/pop2/G3/G3_r1|metro2/dc1/dc/dc|0", + "metro1/pop1/G3/G3_r3|metro1/dc1/dc/dc|0", "metro5/pop2/G6/G6_r3|metro5/dc1/dc/dc|0" ] }, @@ -30185,10 +30185,10 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro1/pop1/G1/G1_r1|metro1/pop1/G2/G2_r3|0", - "metro1/pop1/G1/G1_r1|metro1/pop1/G1/G1_r3|0", "metro2/pop1/G5/G5_r1|metro2/pop1/G5/G5_r3|0", - "metro1/pop1/G3/G3_r3|metro1/pop1/G6/G6_r1|0" + "metro1/pop1/G1/G1_r1|metro1/pop1/G2/G2_r3|0", + "metro1/pop1/G3/G3_r3|metro1/pop1/G6/G6_r1|0", + "metro1/pop1/G1/G1_r1|metro1/pop1/G1/G1_r3|0" ] }, "failure_trace": null, @@ -30287,9 +30287,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ + "metro5/pop1/G7/G7_r1|metro5/dc1/dc/dc|0", "metro1/pop2/G2/G2_r1|metro1/dc1/dc/dc|0", - "metro5/pop1/G5/G5_r3|metro5/dc1/dc/dc|0", - "metro5/pop1/G7/G7_r1|metro5/dc1/dc/dc|0" + "metro5/pop1/G5/G5_r3|metro5/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -30396,10 +30396,10 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro1/pop1/G1/G1_r1|metro1/pop1/G1/G1_r3|0", "metro2/pop1/G6/G6_r1|metro2/pop1/G6/G6_r2|0", + "metro2/pop2/G4/G4_r1|metro2/pop2/G4/G4_r3|0", "metro5/pop1/G1/G1_r2|metro5/pop1/G1/G1_r3|0", - "metro2/pop2/G4/G4_r1|metro2/pop2/G4/G4_r3|0" + "metro1/pop1/G1/G1_r1|metro1/pop1/G1/G1_r3|0" ] }, "failure_trace": null, @@ -30601,9 +30601,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro1/pop2/G7/G7_r2|metro1/dc1/dc/dc|0", + "metro2/pop2/G3/G3_r2|metro2/dc1/dc/dc|0", "metro5/pop1/G1/G1_r3|metro5/dc1/dc/dc|0", - "metro2/pop2/G3/G3_r2|metro2/dc1/dc/dc|0" + "metro1/pop2/G7/G7_r2|metro1/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -30815,8 +30815,8 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro5/pop2/G2/G2_r3|metro5/dc1/dc/dc|0", "metro5/pop1/G6/G6_r1|metro5/dc1/dc/dc|0", + "metro5/pop2/G2/G2_r3|metro5/dc1/dc/dc|0", "metro5/pop1/G1/G1_r3|metro5/dc1/dc/dc|0" ] }, @@ -30924,9 +30924,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro1/pop1/G4/G4_r3|metro1/dc1/dc/dc|0", "metro2/pop1/G1/G1_r3|metro2/dc1/dc/dc|0", - "metro2/pop1/G6/G6_r1|metro2/dc1/dc/dc|0" + "metro2/pop1/G6/G6_r1|metro2/dc1/dc/dc|0", + "metro1/pop1/G4/G4_r3|metro1/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -31031,10 +31031,10 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ + "metro5/pop1/G3/G3_r1|metro5/pop1/G4/G4_r3|0", "metro5/pop2/G6/G6_r2|metro5/pop2/G6/G6_r3|0", - "metro1/pop1/G5/G5_r1|metro1/pop1/G6/G6_r3|0", "metro2/pop1/G1/G1_r2|metro2/pop1/G3/G3_r2|0", - "metro5/pop1/G3/G3_r1|metro5/pop1/G4/G4_r3|0" + "metro1/pop1/G5/G5_r1|metro1/pop1/G6/G6_r3|0" ] }, "failure_trace": null, @@ -31133,9 +31133,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro1/pop1/G3/G3_r2|metro1/dc1/dc/dc|0", "metro2/pop1/G7/G7_r1|metro2/dc1/dc/dc|0", - "metro2/pop1/G6/G6_r1|metro2/dc1/dc/dc|0" + "metro2/pop1/G6/G6_r1|metro2/dc1/dc/dc|0", + "metro1/pop1/G3/G3_r2|metro1/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -31349,8 +31349,8 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro5/pop1/G1/G1_r1|metro5/pop1/G1/G1_r2|0", "metro2/pop2/G6/G6_r1|metro2/pop2/G6/G6_r3|0", + "metro5/pop1/G1/G1_r1|metro5/pop1/G1/G1_r2|0", "metro2/pop2/G2/G2_r1|metro2/pop2/G6/G6_r3|0", "metro5/pop1/G7/G7_r1|metro5/pop1/G7/G7_r2|0" ] @@ -31451,10 +31451,10 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro5/pop2/G5/G5_r2|metro5/pop2/G5/G5_r3|0", - "metro1/pop1/G4/G4_r3|metro1/pop1/G7/G7_r1|0", "metro1/pop2/G2/G2_r2|metro1/pop2/G7/G7_r2|0", - "metro1/pop1/G5/G5_r2|metro1/pop1/G5/G5_r3|0" + "metro1/pop1/G4/G4_r3|metro1/pop1/G7/G7_r1|0", + "metro1/pop1/G5/G5_r2|metro1/pop1/G5/G5_r3|0", + "metro5/pop2/G5/G5_r2|metro5/pop2/G5/G5_r3|0" ] }, "failure_trace": null, @@ -31657,8 +31657,8 @@ "excluded_nodes": [], "excluded_links": [ "metro5/pop2/G7/G7_r1|metro5/dc1/dc/dc|0", - "metro1/pop2/G7/G7_r3|metro1/dc1/dc/dc|0", - "metro1/pop2/G5/G5_r2|metro1/dc1/dc/dc|0" + "metro1/pop2/G5/G5_r2|metro1/dc1/dc/dc|0", + "metro1/pop2/G7/G7_r3|metro1/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -31764,9 +31764,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro5/pop2/G1/G1_r2|metro5/dc1/dc/dc|0", + "metro1/pop2/G2/G2_r2|metro1/dc1/dc/dc|0", "metro5/pop1/G4/G4_r1|metro5/dc1/dc/dc|0", - "metro1/pop2/G2/G2_r2|metro1/dc1/dc/dc|0" + "metro5/pop2/G1/G1_r2|metro5/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -31876,8 +31876,8 @@ "excluded_nodes": [], "excluded_links": [ "metro5/pop1/G2/G2_r3|metro5/dc1/dc/dc|0", - "metro1/pop1/G7/G7_r1|metro1/dc1/dc/dc|0", - "metro5/pop1/G2/G2_r2|metro5/dc1/dc/dc|0" + "metro5/pop1/G2/G2_r2|metro5/dc1/dc/dc|0", + "metro1/pop1/G7/G7_r1|metro1/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -31982,8 +31982,8 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro5/pop2/G6/G6_r1|metro5/dc1/dc/dc|0", "metro1/pop1/G2/G2_r1|metro1/dc1/dc/dc|0", + "metro5/pop2/G6/G6_r1|metro5/dc1/dc/dc|0", "metro1/pop1/G6/G6_r3|metro1/dc1/dc/dc|0" ] }, @@ -32091,9 +32091,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro1/pop2/G4/G4_r3|metro1/dc1/dc/dc|0", "metro1/pop2/G5/G5_r2|metro1/dc1/dc/dc|0", - "metro1/pop1/G2/G2_r3|metro1/dc1/dc/dc|0" + "metro1/pop1/G2/G2_r3|metro1/dc1/dc/dc|0", + "metro1/pop2/G4/G4_r3|metro1/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -32200,10 +32200,10 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro5/pop1/G4/G4_r2|metro5/pop1/G4/G4_r3|0", "metro2/pop2/G4/G4_r2|metro2/pop2/G4/G4_r3|0", - "metro2/pop1/G1/G1_r2|metro2/pop1/G6/G6_r2|0", - "metro2/pop2/G7/G7_r1|metro2/pop2/G7/G7_r2|0" + "metro2/pop2/G7/G7_r1|metro2/pop2/G7/G7_r2|0", + "metro5/pop1/G4/G4_r2|metro5/pop1/G4/G4_r3|0", + "metro2/pop1/G1/G1_r2|metro2/pop1/G6/G6_r2|0" ] }, "failure_trace": null, @@ -32405,9 +32405,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro1/pop2/G2/G2_r2|metro1/dc1/dc/dc|0", + "metro5/pop2/G5/G5_r2|metro5/dc1/dc/dc|0", "metro2/pop2/G5/G5_r3|metro2/dc1/dc/dc|0", - "metro5/pop2/G5/G5_r2|metro5/dc1/dc/dc|0" + "metro1/pop2/G2/G2_r2|metro1/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -32616,9 +32616,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro2/pop1/G4/G4_r2|metro2/dc1/dc/dc|0", "metro1/pop1/G4/G4_r1|metro1/dc1/dc/dc|0", - "metro2/pop2/G5/G5_r3|metro2/dc1/dc/dc|0" + "metro2/pop2/G5/G5_r3|metro2/dc1/dc/dc|0", + "metro2/pop1/G4/G4_r2|metro2/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -32830,9 +32830,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro5/pop1/G3/G3_r1|metro5/dc1/dc/dc|0", + "metro2/pop1/G2/G2_r2|metro2/dc1/dc/dc|0", "metro5/pop1/G7/G7_r3|metro5/dc1/dc/dc|0", - "metro2/pop1/G2/G2_r2|metro2/dc1/dc/dc|0" + "metro5/pop1/G3/G3_r1|metro5/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -32937,10 +32937,10 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro2/pop1/G2/G2_r2|metro2/pop1/G7/G7_r2|0", - "metro5/pop2/G3/G3_r2|metro5/pop2/G5/G5_r2|0", "metro1/pop1/G1/G1_r2|metro1/pop1/G3/G3_r2|0", - "metro1/pop1/G2/G2_r1|metro1/pop1/G6/G6_r3|0" + "metro1/pop1/G2/G2_r1|metro1/pop1/G6/G6_r3|0", + "metro2/pop1/G2/G2_r2|metro2/pop1/G7/G7_r2|0", + "metro5/pop2/G3/G3_r2|metro5/pop2/G5/G5_r2|0" ] }, "failure_trace": null, @@ -33039,8 +33039,8 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro1/pop1/G3/G3_r3|metro1/dc1/dc/dc|0", "metro1/pop2/G5/G5_r3|metro1/dc1/dc/dc|0", + "metro1/pop1/G3/G3_r3|metro1/dc1/dc/dc|0", "metro1/pop2/G7/G7_r3|metro1/dc1/dc/dc|0" ] }, @@ -33251,8 +33251,8 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro2/pop2/G5/G5_r1|metro2/dc1/dc/dc|0", "metro5/pop2/G4/G4_r3|metro5/dc1/dc/dc|0", + "metro2/pop2/G5/G5_r1|metro2/dc1/dc/dc|0", "metro2/pop2/G6/G6_r3|metro2/dc1/dc/dc|0" ] }, @@ -33358,9 +33358,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro1/pop2/G2/G2_r1|metro1/dc1/dc/dc|0", "metro5/pop2/G4/G4_r3|metro5/dc1/dc/dc|0", - "metro2/pop2/G6/G6_r3|metro2/dc1/dc/dc|0" + "metro2/pop2/G6/G6_r3|metro2/dc1/dc/dc|0", + "metro1/pop2/G2/G2_r1|metro1/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -33466,9 +33466,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro5/pop2/G3/G3_r1|metro5/dc1/dc/dc|0", "metro2/pop2/G3/G3_r3|metro2/dc1/dc/dc|0", - "metro1/pop1/G5/G5_r1|metro1/dc1/dc/dc|0" + "metro1/pop1/G5/G5_r1|metro1/dc1/dc/dc|0", + "metro5/pop2/G3/G3_r1|metro5/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -33577,8 +33577,8 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro2/pop2/G5/G5_r1|metro2/dc1/dc/dc|0", "metro5/pop1/G2/G2_r2|metro5/dc1/dc/dc|0", + "metro2/pop2/G5/G5_r1|metro2/dc1/dc/dc|0", "metro5/pop2/G4/G4_r1|metro5/dc1/dc/dc|0" ] }, @@ -33791,10 +33791,10 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro5/pop2/G1/G1_r2|metro5/pop2/G3/G3_r2|0", "metro2/pop2/G3/G3_r2|metro2/pop2/G5/G5_r2|0", "metro2/pop2/G2/G2_r1|metro2/pop2/G6/G6_r3|0", - "metro5/pop2/G1/G1_r1|metro5/pop2/G5/G5_r3|0" + "metro5/pop2/G1/G1_r1|metro5/pop2/G5/G5_r3|0", + "metro5/pop2/G1/G1_r2|metro5/pop2/G3/G3_r2|0" ] }, "failure_trace": null, @@ -33893,8 +33893,8 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro1/pop1/G7/G7_r3|metro1/dc1/dc/dc|0", "metro1/pop1/G2/G2_r2|metro1/dc1/dc/dc|0", + "metro1/pop1/G7/G7_r3|metro1/dc1/dc/dc|0", "metro2/pop1/G4/G4_r3|metro2/dc1/dc/dc|0" ] }, @@ -34103,9 +34103,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro1/pop1/G6/G6_r2|metro1/dc1/dc/dc|0", + "metro2/pop1/G7/G7_r3|metro2/dc1/dc/dc|0", "metro5/pop1/G5/G5_r1|metro5/dc1/dc/dc|0", - "metro2/pop1/G7/G7_r3|metro2/dc1/dc/dc|0" + "metro1/pop1/G6/G6_r2|metro1/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -34313,9 +34313,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro1/pop1/G4/G4_r1|metro1/pop1/G4/G4_r2|0", "metro1/pop2/G4/G4_r2|metro1/pop2/G6/G6_r2|0", "metro1/pop2/G6/G6_r1|metro1/pop2/G6/G6_r3|0", + "metro1/pop1/G4/G4_r1|metro1/pop1/G4/G4_r2|0", "metro5/pop2/G1/G1_r1|metro5/pop2/G5/G5_r3|0" ] }, @@ -34416,9 +34416,9 @@ "excluded_nodes": [], "excluded_links": [ "metro1/pop1/G2/G2_r2|metro1/pop1/G4/G4_r2|0", - "metro2/pop1/G2/G2_r1|metro2/pop1/G3/G3_r3|0", "metro2/pop2/G1/G1_r3|metro2/pop2/G4/G4_r1|0", - "metro5/pop1/G3/G3_r1|metro5/pop1/G4/G4_r3|0" + "metro5/pop1/G3/G3_r1|metro5/pop1/G4/G4_r3|0", + "metro2/pop1/G2/G2_r1|metro2/pop1/G3/G3_r3|0" ] }, "failure_trace": null, @@ -34620,9 +34620,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ + "metro2/pop1/G5/G5_r3|metro2/dc1/dc/dc|0", "metro5/pop1/G5/G5_r3|metro5/dc1/dc/dc|0", - "metro2/pop1/G6/G6_r3|metro2/dc1/dc/dc|0", - "metro2/pop1/G5/G5_r3|metro2/dc1/dc/dc|0" + "metro2/pop1/G6/G6_r3|metro2/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -34729,8 +34729,8 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro2/pop1/G3/G3_r1|metro2/pop1/G4/G4_r3|0", "metro2/pop1/G1/G1_r1|metro2/pop1/G2/G2_r3|0", + "metro2/pop1/G3/G3_r1|metro2/pop1/G4/G4_r3|0", "metro2/pop2/G7/G7_r1|metro2/pop2/G7/G7_r2|0", "metro1/pop2/G4/G4_r1|metro1/pop2/G5/G5_r3|0" ] @@ -34942,8 +34942,8 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro2/pop2/G5/G5_r2|metro2/dc1/dc/dc|0", "metro2/pop2/G1/G1_r3|metro2/dc1/dc/dc|0", + "metro2/pop2/G5/G5_r2|metro2/dc1/dc/dc|0", "metro5/pop2/G1/G1_r3|metro5/dc1/dc/dc|0" ] }, @@ -35162,9 +35162,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro5/pop1/G5/G5_r2|metro5/pop1/G7/G7_r2|0", - "metro5/pop2/G2/G2_r3|metro5/pop2/G5/G5_r1|0", "metro1/pop2/G3/G3_r1|metro1/pop2/G3/G3_r3|0", + "metro5/pop2/G2/G2_r3|metro5/pop2/G5/G5_r1|0", + "metro5/pop1/G5/G5_r2|metro5/pop1/G7/G7_r2|0", "metro1/pop2/G2/G2_r2|metro1/pop2/G2/G2_r3|0" ] }, @@ -35367,8 +35367,8 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro5/pop1/G6/G6_r2|metro5/dc1/dc/dc|0", "metro2/pop2/G1/G1_r3|metro2/dc1/dc/dc|0", + "metro5/pop1/G6/G6_r2|metro5/dc1/dc/dc|0", "metro5/pop1/G2/G2_r2|metro5/dc1/dc/dc|0" ] }, @@ -35582,9 +35582,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro1/pop2/G1/G1_r1|metro1/dc1/dc/dc|0", "metro5/pop2/G7/G7_r2|metro5/dc1/dc/dc|0", - "metro5/pop1/G6/G6_r1|metro5/dc1/dc/dc|0" + "metro5/pop1/G6/G6_r1|metro5/dc1/dc/dc|0", + "metro1/pop2/G1/G1_r1|metro1/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -35694,8 +35694,8 @@ "excluded_nodes": [], "excluded_links": [ "metro2/pop1/G6/G6_r2|metro2/dc1/dc/dc|0", - "metro5/pop2/G5/G5_r3|metro5/dc1/dc/dc|0", - "metro2/pop2/G3/G3_r2|metro2/dc1/dc/dc|0" + "metro2/pop2/G3/G3_r2|metro2/dc1/dc/dc|0", + "metro5/pop2/G5/G5_r3|metro5/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -36010,9 +36010,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro2/pop1/G2/G2_r1|metro2/dc1/dc/dc|0", "metro5/pop1/G7/G7_r3|metro5/dc1/dc/dc|0", - "metro1/pop1/G2/G2_r3|metro1/dc1/dc/dc|0" + "metro1/pop1/G2/G2_r3|metro1/dc1/dc/dc|0", + "metro2/pop1/G2/G2_r1|metro2/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -36117,9 +36117,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ + "metro5/pop2/G5/G5_r2|metro5/dc1/dc/dc|0", "metro2/pop2/G5/G5_r2|metro2/dc1/dc/dc|0", - "metro2/pop1/G4/G4_r3|metro2/dc1/dc/dc|0", - "metro5/pop2/G5/G5_r2|metro5/dc1/dc/dc|0" + "metro2/pop1/G4/G4_r3|metro2/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -36228,9 +36228,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ + "metro1/pop1/G1/G1_r3|metro1/dc1/dc/dc|0", "metro2/pop2/G1/G1_r3|metro2/dc1/dc/dc|0", - "metro1/pop2/G6/G6_r3|metro1/dc1/dc/dc|0", - "metro1/pop1/G1/G1_r3|metro1/dc1/dc/dc|0" + "metro1/pop2/G6/G6_r3|metro1/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -36339,10 +36339,10 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro2/pop1/G2/G2_r2|metro2/pop1/G7/G7_r2|0", - "metro5/pop1/G1/G1_r1|metro5/pop1/G1/G1_r2|0", "metro5/pop1/G2/G2_r3|metro5/pop1/G5/G5_r1|0", - "metro5/pop2/G5/G5_r1|metro5/pop2/G5/G5_r3|0" + "metro5/pop1/G1/G1_r1|metro5/pop1/G1/G1_r2|0", + "metro5/pop2/G5/G5_r1|metro5/pop2/G5/G5_r3|0", + "metro2/pop1/G2/G2_r2|metro2/pop1/G7/G7_r2|0" ] }, "failure_trace": null, @@ -36441,9 +36441,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro1/pop2/G7/G7_r2|metro1/dc1/dc/dc|0", "metro2/pop2/G1/G1_r1|metro2/dc1/dc/dc|0", - "metro2/pop1/G4/G4_r1|metro2/dc1/dc/dc|0" + "metro2/pop1/G4/G4_r1|metro2/dc1/dc/dc|0", + "metro1/pop2/G7/G7_r2|metro1/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -36656,9 +36656,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ + "metro2/pop2/G4/G4_r1|metro2/dc1/dc/dc|0", "metro2/pop1/G7/G7_r2|metro2/dc1/dc/dc|0", - "metro5/pop1/G4/G4_r1|metro5/dc1/dc/dc|0", - "metro2/pop2/G4/G4_r1|metro2/dc1/dc/dc|0" + "metro5/pop1/G4/G4_r1|metro5/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -36768,9 +36768,9 @@ "excluded_nodes": [], "excluded_links": [ "metro1/pop1/G3/G3_r2|metro1/pop1/G3/G3_r3|0", - "metro2/pop2/G6/G6_r1|metro2/pop2/G6/G6_r2|0", "metro2/pop1/G7/G7_r1|metro2/pop1/G7/G7_r2|0", - "metro2/pop1/G7/G7_r1|metro2/pop1/G7/G7_r3|0" + "metro2/pop1/G7/G7_r1|metro2/pop1/G7/G7_r3|0", + "metro2/pop2/G6/G6_r1|metro2/pop2/G6/G6_r2|0" ] }, "failure_trace": null, @@ -36869,9 +36869,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ + "metro2/pop1/G7/G7_r3|metro2/dc1/dc/dc|0", "metro1/pop1/G6/G6_r1|metro1/dc1/dc/dc|0", - "metro5/pop1/G5/G5_r3|metro5/dc1/dc/dc|0", - "metro2/pop1/G7/G7_r3|metro2/dc1/dc/dc|0" + "metro5/pop1/G5/G5_r3|metro5/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -36976,10 +36976,10 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro5/pop1/G2/G2_r1|metro5/pop1/G6/G6_r3|0", "metro1/pop1/G4/G4_r2|metro1/pop1/G6/G6_r2|0", "metro1/pop2/G2/G2_r2|metro1/pop2/G7/G7_r2|0", - "metro5/pop1/G7/G7_r1|metro5/pop1/G7/G7_r2|0" + "metro5/pop1/G7/G7_r1|metro5/pop1/G7/G7_r2|0", + "metro5/pop1/G2/G2_r1|metro5/pop1/G6/G6_r3|0" ] }, "failure_trace": null, @@ -37078,9 +37078,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro5/pop1/G5/G5_r1|metro5/dc1/dc/dc|0", + "metro1/pop1/G2/G2_r1|metro1/dc1/dc/dc|0", "metro1/pop2/G6/G6_r3|metro1/dc1/dc/dc|0", - "metro1/pop1/G2/G2_r1|metro1/dc1/dc/dc|0" + "metro5/pop1/G5/G5_r1|metro5/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -37400,10 +37400,10 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro5/pop2/G7/G7_r1|metro5/pop2/G7/G7_r2|0", + "metro2/pop2/G1/G1_r3|metro2/pop2/G4/G4_r1|0", "metro1/pop1/G1/G1_r1|metro1/pop1/G1/G1_r3|0", - "metro1/pop2/G1/G1_r1|metro1/pop2/G5/G5_r3|0", - "metro2/pop2/G1/G1_r3|metro2/pop2/G4/G4_r1|0" + "metro5/pop2/G7/G7_r1|metro5/pop2/G7/G7_r2|0", + "metro1/pop2/G1/G1_r1|metro1/pop2/G5/G5_r3|0" ] }, "failure_trace": null, @@ -37819,10 +37819,10 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro2/pop1/G2/G2_r2|metro2/pop1/G7/G7_r2|0", - "metro2/pop2/G2/G2_r2|metro2/pop2/G2/G2_r3|0", "metro2/pop2/G3/G3_r2|metro2/pop2/G5/G5_r2|0", - "metro2/pop1/G2/G2_r1|metro2/pop1/G6/G6_r3|0" + "metro2/pop2/G2/G2_r2|metro2/pop2/G2/G2_r3|0", + "metro2/pop1/G2/G2_r1|metro2/pop1/G6/G6_r3|0", + "metro2/pop1/G2/G2_r2|metro2/pop1/G7/G7_r2|0" ] }, "failure_trace": null, @@ -37922,8 +37922,8 @@ "excluded_nodes": [], "excluded_links": [ "metro5/pop1/G6/G6_r2|metro5/dc1/dc/dc|0", - "metro2/pop1/G6/G6_r3|metro2/dc1/dc/dc|0", - "metro2/pop1/G2/G2_r1|metro2/dc1/dc/dc|0" + "metro2/pop1/G2/G2_r1|metro2/dc1/dc/dc|0", + "metro2/pop1/G6/G6_r3|metro2/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -38028,9 +38028,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro2/pop2/G4/G4_r3|metro2/dc1/dc/dc|0", + "metro5/pop2/G7/G7_r2|metro5/dc1/dc/dc|0", "metro1/pop1/G4/G4_r1|metro1/dc1/dc/dc|0", - "metro5/pop2/G7/G7_r2|metro5/dc1/dc/dc|0" + "metro2/pop2/G4/G4_r3|metro2/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -38139,9 +38139,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ + "metro5/pop1/G7/G7_r1|metro5/dc1/dc/dc|0", "metro5/pop2/G7/G7_r1|metro5/dc1/dc/dc|0", - "metro2/pop1/G1/G1_r1|metro2/dc1/dc/dc|0", - "metro5/pop1/G7/G7_r1|metro5/dc1/dc/dc|0" + "metro2/pop1/G1/G1_r1|metro2/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -38250,10 +38250,10 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro5/pop1/G5/G5_r1|metro5/pop1/G6/G6_r3|0", "metro1/pop2/G4/G4_r2|metro1/pop2/G4/G4_r3|0", "metro2/pop2/G5/G5_r2|metro2/pop2/G7/G7_r2|0", - "metro2/pop1/G1/G1_r2|metro2/pop1/G3/G3_r2|0" + "metro2/pop1/G1/G1_r2|metro2/pop1/G3/G3_r2|0", + "metro5/pop1/G5/G5_r1|metro5/pop1/G6/G6_r3|0" ] }, "failure_trace": null, @@ -38455,8 +38455,8 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro2/pop1/G3/G3_r1|metro2/dc1/dc/dc|0", "metro2/pop2/G1/G1_r3|metro2/dc1/dc/dc|0", + "metro2/pop1/G3/G3_r1|metro2/dc1/dc/dc|0", "metro5/pop1/G1/G1_r3|metro5/dc1/dc/dc|0" ] }, @@ -38670,8 +38670,8 @@ "excluded_nodes": [], "excluded_links": [ "metro5/pop1/G3/G3_r2|metro5/dc1/dc/dc|0", - "metro5/pop1/G1/G1_r3|metro5/dc1/dc/dc|0", - "metro2/pop1/G6/G6_r1|metro2/dc1/dc/dc|0" + "metro2/pop1/G6/G6_r1|metro2/dc1/dc/dc|0", + "metro5/pop1/G1/G1_r3|metro5/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -38776,9 +38776,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro1/pop2/G7/G7_r2|metro1/dc1/dc/dc|0", + "metro2/pop2/G4/G4_r1|metro2/dc1/dc/dc|0", "metro5/pop1/G7/G7_r2|metro5/dc1/dc/dc|0", - "metro2/pop2/G4/G4_r1|metro2/dc1/dc/dc|0" + "metro1/pop2/G7/G7_r2|metro1/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -38999,9 +38999,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ + "metro1/pop2/G1/G1_r3|metro1/dc1/dc/dc|0", "metro5/pop1/G7/G7_r2|metro5/dc1/dc/dc|0", - "metro1/pop1/G1/G1_r3|metro1/dc1/dc/dc|0", - "metro1/pop2/G1/G1_r3|metro1/dc1/dc/dc|0" + "metro1/pop1/G1/G1_r3|metro1/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -39110,9 +39110,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro5/pop2/G6/G6_r3|metro5/dc1/dc/dc|0", "metro5/pop1/G2/G2_r2|metro5/dc1/dc/dc|0", - "metro5/pop1/G1/G1_r1|metro5/dc1/dc/dc|0" + "metro5/pop1/G1/G1_r1|metro5/dc1/dc/dc|0", + "metro5/pop2/G6/G6_r3|metro5/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -39219,8 +39219,8 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro1/pop2/G3/G3_r1|metro1/dc1/dc/dc|0", "metro5/pop1/G6/G6_r1|metro5/dc1/dc/dc|0", + "metro1/pop2/G3/G3_r1|metro1/dc1/dc/dc|0", "metro5/pop2/G5/G5_r3|metro5/dc1/dc/dc|0" ] }, @@ -39330,8 +39330,8 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro5/pop1/G7/G7_r2|metro5/dc1/dc/dc|0", "metro2/pop1/G1/G1_r3|metro2/dc1/dc/dc|0", + "metro5/pop1/G7/G7_r2|metro5/dc1/dc/dc|0", "metro5/pop1/G2/G2_r1|metro5/dc1/dc/dc|0" ] }, @@ -39437,10 +39437,10 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro5/pop2/G2/G2_r2|metro5/pop2/G7/G7_r2|0", - "metro2/pop1/G3/G3_r1|metro2/pop1/G3/G3_r3|0", "metro2/pop2/G3/G3_r2|metro2/pop2/G5/G5_r2|0", - "metro2/pop1/G1/G1_r2|metro2/pop1/G1/G1_r3|0" + "metro5/pop2/G2/G2_r2|metro5/pop2/G7/G7_r2|0", + "metro2/pop1/G1/G1_r2|metro2/pop1/G1/G1_r3|0", + "metro2/pop1/G3/G3_r1|metro2/pop1/G3/G3_r3|0" ] }, "failure_trace": null, @@ -39539,9 +39539,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro1/pop2/G6/G6_r1|metro1/dc1/dc/dc|0", "metro1/pop1/G5/G5_r2|metro1/dc1/dc/dc|0", - "metro2/pop1/G7/G7_r3|metro2/dc1/dc/dc|0" + "metro2/pop1/G7/G7_r3|metro2/dc1/dc/dc|0", + "metro1/pop2/G6/G6_r1|metro1/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -39650,9 +39650,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro1/pop1/G6/G6_r1|metro1/dc1/dc/dc|0", "metro5/pop2/G4/G4_r3|metro5/dc1/dc/dc|0", - "metro5/pop2/G3/G3_r2|metro5/dc1/dc/dc|0" + "metro5/pop2/G3/G3_r2|metro5/dc1/dc/dc|0", + "metro1/pop1/G6/G6_r1|metro1/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -39759,8 +39759,8 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro1/pop1/G4/G4_r3|metro1/dc1/dc/dc|0", "metro2/pop2/G6/G6_r1|metro2/dc1/dc/dc|0", + "metro1/pop1/G4/G4_r3|metro1/dc1/dc/dc|0", "metro1/pop1/G3/G3_r1|metro1/dc1/dc/dc|0" ] }, @@ -39868,8 +39868,8 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro1/pop1/G7/G7_r3|metro1/dc1/dc/dc|0", "metro1/pop2/G1/G1_r1|metro1/dc1/dc/dc|0", + "metro1/pop1/G7/G7_r3|metro1/dc1/dc/dc|0", "metro5/pop2/G3/G3_r1|metro5/dc1/dc/dc|0" ] }, @@ -39979,9 +39979,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro5/pop1/G6/G6_r2|metro5/dc1/dc/dc|0", + "metro2/pop1/G7/G7_r3|metro2/dc1/dc/dc|0", "metro2/pop2/G2/G2_r2|metro2/dc1/dc/dc|0", - "metro2/pop1/G7/G7_r3|metro2/dc1/dc/dc|0" + "metro5/pop1/G6/G6_r2|metro5/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -40406,8 +40406,8 @@ "excluded_nodes": [], "excluded_links": [ "metro2/pop1/G5/G5_r2|metro2/dc1/dc/dc|0", - "metro2/pop1/G4/G4_r1|metro2/dc1/dc/dc|0", - "metro5/pop1/G1/G1_r1|metro5/dc1/dc/dc|0" + "metro5/pop1/G1/G1_r1|metro5/dc1/dc/dc|0", + "metro2/pop1/G4/G4_r1|metro2/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -40512,9 +40512,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ + "metro2/pop1/G2/G2_r2|metro2/dc1/dc/dc|0", "metro5/pop2/G2/G2_r1|metro5/dc1/dc/dc|0", - "metro2/pop1/G6/G6_r3|metro2/dc1/dc/dc|0", - "metro2/pop1/G2/G2_r2|metro2/dc1/dc/dc|0" + "metro2/pop1/G6/G6_r3|metro2/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -40728,8 +40728,8 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro2/pop2/G5/G5_r2|metro2/dc1/dc/dc|0", "metro1/pop1/G5/G5_r2|metro1/dc1/dc/dc|0", + "metro2/pop2/G5/G5_r2|metro2/dc1/dc/dc|0", "metro2/pop1/G2/G2_r1|metro2/dc1/dc/dc|0" ] }, @@ -40839,9 +40839,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro1/pop1/G3/G3_r2|metro1/dc1/dc/dc|0", + "metro1/pop1/G6/G6_r2|metro1/dc1/dc/dc|0", "metro1/pop2/G3/G3_r1|metro1/dc1/dc/dc|0", - "metro1/pop1/G6/G6_r2|metro1/dc1/dc/dc|0" + "metro1/pop1/G3/G3_r2|metro1/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -40950,8 +40950,8 @@ "excluded_links": [ "metro1/pop1/G2/G2_r2|metro1/pop1/G4/G4_r2|0", "metro1/pop1/G1/G1_r1|metro1/pop1/G1/G1_r3|0", - "metro2/pop1/G4/G4_r1|metro2/pop1/G4/G4_r3|0", - "metro2/pop1/G2/G2_r2|metro2/pop1/G7/G7_r2|0" + "metro2/pop1/G2/G2_r2|metro2/pop1/G7/G7_r2|0", + "metro2/pop1/G4/G4_r1|metro2/pop1/G4/G4_r3|0" ] }, "failure_trace": null, @@ -41153,8 +41153,8 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro5/pop1/G7/G7_r2|metro5/dc1/dc/dc|0", "metro2/pop2/G5/G5_r1|metro2/dc1/dc/dc|0", + "metro5/pop1/G7/G7_r2|metro5/dc1/dc/dc|0", "metro5/pop2/G1/G1_r1|metro5/dc1/dc/dc|0" ] }, @@ -41264,9 +41264,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ + "metro5/pop1/G2/G2_r2|metro5/dc1/dc/dc|0", "metro5/pop2/G7/G7_r1|metro5/dc1/dc/dc|0", - "metro5/pop1/G4/G4_r1|metro5/dc1/dc/dc|0", - "metro5/pop1/G2/G2_r2|metro5/dc1/dc/dc|0" + "metro5/pop1/G4/G4_r1|metro5/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -41373,10 +41373,10 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro2/pop2/G5/G5_r2|metro2/pop2/G7/G7_r2|0", - "metro5/pop1/G2/G2_r2|metro5/pop1/G7/G7_r2|0", "metro1/pop2/G2/G2_r1|metro1/pop2/G2/G2_r2|0", - "metro1/pop2/G4/G4_r1|metro1/pop2/G5/G5_r3|0" + "metro5/pop1/G2/G2_r2|metro5/pop1/G7/G7_r2|0", + "metro1/pop2/G4/G4_r1|metro1/pop2/G5/G5_r3|0", + "metro2/pop2/G5/G5_r2|metro2/pop2/G7/G7_r2|0" ] }, "failure_trace": null, @@ -41476,8 +41476,8 @@ "excluded_nodes": [], "excluded_links": [ "metro2/pop1/G3/G3_r2|metro2/dc1/dc/dc|0", - "metro5/pop2/G2/G2_r2|metro5/dc1/dc/dc|0", - "metro2/pop1/G6/G6_r1|metro2/dc1/dc/dc|0" + "metro2/pop1/G6/G6_r1|metro2/dc1/dc/dc|0", + "metro5/pop2/G2/G2_r2|metro5/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -41584,8 +41584,8 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro1/pop1/G6/G6_r1|metro1/dc1/dc/dc|0", "metro5/pop1/G5/G5_r1|metro5/dc1/dc/dc|0", + "metro1/pop1/G6/G6_r1|metro1/dc1/dc/dc|0", "metro5/pop1/G6/G6_r2|metro5/dc1/dc/dc|0" ] }, @@ -41691,9 +41691,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ + "metro5/pop1/G1/G1_r1|metro5/dc1/dc/dc|0", "metro2/pop2/G5/G5_r2|metro2/dc1/dc/dc|0", - "metro1/pop1/G7/G7_r1|metro1/dc1/dc/dc|0", - "metro5/pop1/G1/G1_r1|metro5/dc1/dc/dc|0" + "metro1/pop1/G7/G7_r1|metro1/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -41802,9 +41802,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro2/pop2/G1/G1_r1|metro2/dc1/dc/dc|0", "metro5/pop2/G2/G2_r3|metro5/dc1/dc/dc|0", - "metro5/pop2/G5/G5_r3|metro5/dc1/dc/dc|0" + "metro5/pop2/G5/G5_r3|metro5/dc1/dc/dc|0", + "metro2/pop2/G1/G1_r1|metro2/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -41909,10 +41909,10 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro1/pop1/G1/G1_r2|metro1/pop1/G3/G3_r2|0", - "metro1/pop1/G5/G5_r1|metro1/pop1/G5/G5_r3|0", "metro2/pop1/G5/G5_r1|metro2/pop1/G6/G6_r3|0", - "metro1/pop2/G1/G1_r3|metro1/pop2/G7/G7_r1|0" + "metro1/pop1/G1/G1_r2|metro1/pop1/G3/G3_r2|0", + "metro1/pop2/G1/G1_r3|metro1/pop2/G7/G7_r1|0", + "metro1/pop1/G5/G5_r1|metro1/pop1/G5/G5_r3|0" ] }, "failure_trace": null, @@ -42114,9 +42114,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro2/pop2/G7/G7_r1|metro2/dc1/dc/dc|0", "metro2/pop1/G3/G3_r3|metro2/dc1/dc/dc|0", - "metro5/pop1/G7/G7_r1|metro5/dc1/dc/dc|0" + "metro5/pop1/G7/G7_r1|metro5/dc1/dc/dc|0", + "metro2/pop2/G7/G7_r1|metro2/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -42225,9 +42225,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro2/pop2/G7/G7_r1|metro2/dc1/dc/dc|0", "metro5/pop1/G3/G3_r2|metro5/dc1/dc/dc|0", - "metro2/pop1/G7/G7_r3|metro2/dc1/dc/dc|0" + "metro2/pop1/G7/G7_r3|metro2/dc1/dc/dc|0", + "metro2/pop2/G7/G7_r1|metro2/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -42336,10 +42336,10 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ + "metro2/pop2/G2/G2_r1|metro2/pop2/G6/G6_r3|0", "metro2/pop1/G5/G5_r1|metro2/pop1/G5/G5_r2|0", - "metro5/pop1/G2/G2_r2|metro5/pop1/G7/G7_r2|0", "metro5/pop1/G5/G5_r1|metro5/pop1/G5/G5_r3|0", - "metro2/pop2/G2/G2_r1|metro2/pop2/G6/G6_r3|0" + "metro5/pop1/G2/G2_r2|metro5/pop1/G7/G7_r2|0" ] }, "failure_trace": null, @@ -42438,9 +42438,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro5/pop1/G1/G1_r3|metro5/dc1/dc/dc|0", "metro5/pop1/G2/G2_r2|metro5/dc1/dc/dc|0", - "metro5/pop1/G4/G4_r2|metro5/dc1/dc/dc|0" + "metro5/pop1/G4/G4_r2|metro5/dc1/dc/dc|0", + "metro5/pop1/G1/G1_r3|metro5/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -42756,8 +42756,8 @@ "excluded_nodes": [], "excluded_links": [ "metro1/pop1/G5/G5_r2|metro1/dc1/dc/dc|0", - "metro5/pop1/G4/G4_r2|metro5/dc1/dc/dc|0", - "metro5/pop2/G6/G6_r2|metro5/dc1/dc/dc|0" + "metro5/pop2/G6/G6_r2|metro5/dc1/dc/dc|0", + "metro5/pop1/G4/G4_r2|metro5/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -42866,8 +42866,8 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro2/pop1/G7/G7_r2|metro2/dc1/dc/dc|0", "metro5/pop2/G2/G2_r1|metro5/dc1/dc/dc|0", + "metro2/pop1/G7/G7_r2|metro2/dc1/dc/dc|0", "metro5/pop2/G2/G2_r2|metro5/dc1/dc/dc|0" ] }, @@ -42975,9 +42975,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro2/pop1/G4/G4_r1|metro2/dc1/dc/dc|0", + "metro5/pop1/G7/G7_r1|metro5/dc1/dc/dc|0", "metro2/pop2/G7/G7_r2|metro2/dc1/dc/dc|0", - "metro5/pop1/G7/G7_r1|metro5/dc1/dc/dc|0" + "metro2/pop1/G4/G4_r1|metro2/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -43086,9 +43086,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ + "metro2/pop2/G6/G6_r2|metro2/dc1/dc/dc|0", "metro5/pop2/G2/G2_r3|metro5/dc1/dc/dc|0", - "metro1/pop2/G3/G3_r1|metro1/dc1/dc/dc|0", - "metro2/pop2/G6/G6_r2|metro2/dc1/dc/dc|0" + "metro1/pop2/G3/G3_r1|metro1/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -43194,9 +43194,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ + "metro5/pop1/G2/G2_r1|metro5/dc1/dc/dc|0", "metro5/pop2/G6/G6_r3|metro5/dc1/dc/dc|0", - "metro2/pop1/G6/G6_r3|metro2/dc1/dc/dc|0", - "metro5/pop1/G2/G2_r1|metro5/dc1/dc/dc|0" + "metro2/pop1/G6/G6_r3|metro2/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -43305,9 +43305,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro2/pop1/G7/G7_r2|metro2/dc1/dc/dc|0", "metro2/pop2/G2/G2_r2|metro2/dc1/dc/dc|0", - "metro5/pop2/G1/G1_r3|metro5/dc1/dc/dc|0" + "metro5/pop2/G1/G1_r3|metro5/dc1/dc/dc|0", + "metro2/pop1/G7/G7_r2|metro2/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -43527,10 +43527,10 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro1/pop1/G5/G5_r2|metro1/pop1/G7/G7_r2|0", + "metro2/pop2/G4/G4_r1|metro2/pop2/G4/G4_r3|0", "metro5/pop2/G4/G4_r1|metro5/pop2/G4/G4_r3|0", "metro5/pop1/G5/G5_r2|metro5/pop1/G5/G5_r3|0", - "metro2/pop2/G4/G4_r1|metro2/pop2/G4/G4_r3|0" + "metro1/pop1/G5/G5_r2|metro1/pop1/G7/G7_r2|0" ] }, "failure_trace": null, @@ -43630,8 +43630,8 @@ "excluded_nodes": [], "excluded_links": [ "metro1/pop1/G4/G4_r1|metro1/dc1/dc/dc|0", - "metro5/pop1/G3/G3_r2|metro5/dc1/dc/dc|0", - "metro1/pop1/G4/G4_r2|metro1/dc1/dc/dc|0" + "metro1/pop1/G4/G4_r2|metro1/dc1/dc/dc|0", + "metro5/pop1/G3/G3_r2|metro5/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -43738,9 +43738,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ + "metro2/pop2/G3/G3_r3|metro2/dc1/dc/dc|0", "metro2/pop1/G4/G4_r3|metro2/dc1/dc/dc|0", - "metro2/pop1/G6/G6_r3|metro2/dc1/dc/dc|0", - "metro2/pop2/G3/G3_r3|metro2/dc1/dc/dc|0" + "metro2/pop1/G6/G6_r3|metro2/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -43847,8 +43847,8 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro1/pop2/G6/G6_r3|metro1/dc1/dc/dc|0", "metro5/pop2/G2/G2_r1|metro5/dc1/dc/dc|0", + "metro1/pop2/G6/G6_r3|metro1/dc1/dc/dc|0", "metro5/pop1/G7/G7_r2|metro5/dc1/dc/dc|0" ] }, @@ -44061,10 +44061,10 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro2/pop1/G4/G4_r1|metro2/pop1/G4/G4_r3|0", - "metro2/pop2/G1/G1_r3|metro2/pop2/G4/G4_r1|0", "metro2/pop2/G2/G2_r2|metro2/pop2/G2/G2_r3|0", - "metro2/pop1/G3/G3_r3|metro2/pop1/G6/G6_r1|0" + "metro2/pop2/G1/G1_r3|metro2/pop2/G4/G4_r1|0", + "metro2/pop1/G3/G3_r3|metro2/pop1/G6/G6_r1|0", + "metro2/pop1/G4/G4_r1|metro2/pop1/G4/G4_r3|0" ] }, "failure_trace": null, @@ -44164,8 +44164,8 @@ "excluded_nodes": [], "excluded_links": [ "metro2/pop2/G4/G4_r3|metro2/dc1/dc/dc|0", - "metro2/pop2/G7/G7_r3|metro2/dc1/dc/dc|0", - "metro1/pop2/G4/G4_r3|metro1/dc1/dc/dc|0" + "metro1/pop2/G4/G4_r3|metro1/dc1/dc/dc|0", + "metro2/pop2/G7/G7_r3|metro2/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -44382,9 +44382,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ + "metro5/pop1/G2/G2_r1|metro5/dc1/dc/dc|0", "metro5/pop2/G6/G6_r3|metro5/dc1/dc/dc|0", - "metro5/pop2/G3/G3_r1|metro5/dc1/dc/dc|0", - "metro5/pop1/G2/G2_r1|metro5/dc1/dc/dc|0" + "metro5/pop2/G3/G3_r1|metro5/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -44491,10 +44491,10 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro1/pop2/G1/G1_r2|metro1/pop2/G3/G3_r2|0", - "metro2/pop1/G1/G1_r2|metro2/pop1/G6/G6_r2|0", "metro1/pop1/G4/G4_r2|metro1/pop1/G4/G4_r3|0", - "metro5/pop2/G4/G4_r1|metro5/pop2/G5/G5_r3|0" + "metro5/pop2/G4/G4_r1|metro5/pop2/G5/G5_r3|0", + "metro1/pop2/G1/G1_r2|metro1/pop2/G3/G3_r2|0", + "metro2/pop1/G1/G1_r2|metro2/pop1/G6/G6_r2|0" ] }, "failure_trace": null, @@ -44903,8 +44903,8 @@ "excluded_nodes": [], "excluded_links": [ "metro5/pop1/G2/G2_r3|metro5/dc1/dc/dc|0", - "metro1/pop2/G6/G6_r2|metro1/dc1/dc/dc|0", - "metro2/pop1/G5/G5_r1|metro2/dc1/dc/dc|0" + "metro2/pop1/G5/G5_r1|metro2/dc1/dc/dc|0", + "metro1/pop2/G6/G6_r2|metro1/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -45013,9 +45013,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro1/pop1/G2/G2_r2|metro1/dc1/dc/dc|0", "metro2/pop1/G3/G3_r3|metro2/dc1/dc/dc|0", - "metro1/pop2/G5/G5_r2|metro1/dc1/dc/dc|0" + "metro1/pop2/G5/G5_r2|metro1/dc1/dc/dc|0", + "metro1/pop1/G2/G2_r2|metro1/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -45336,9 +45336,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro5/pop2/G7/G7_r2|metro5/dc1/dc/dc|0", + "metro2/pop2/G6/G6_r2|metro2/dc1/dc/dc|0", "metro5/pop1/G2/G2_r2|metro5/dc1/dc/dc|0", - "metro2/pop2/G6/G6_r2|metro2/dc1/dc/dc|0" + "metro5/pop2/G7/G7_r2|metro5/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -45447,10 +45447,10 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro5/pop1/G6/G6_r1|metro5/pop1/G7/G7_r3|0", + "metro5/pop1/G2/G2_r1|metro5/pop1/G2/G2_r3|0", "metro2/pop2/G7/G7_r2|metro2/pop2/G7/G7_r3|0", "metro1/pop1/G6/G6_r1|metro1/pop1/G6/G6_r2|0", - "metro5/pop1/G2/G2_r1|metro5/pop1/G2/G2_r3|0" + "metro5/pop1/G6/G6_r1|metro5/pop1/G7/G7_r3|0" ] }, "failure_trace": null, @@ -45549,9 +45549,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ + "metro2/pop1/G2/G2_r2|metro2/dc1/dc/dc|0", "metro2/pop1/G4/G4_r2|metro2/dc1/dc/dc|0", - "metro1/pop2/G7/G7_r3|metro1/dc1/dc/dc|0", - "metro2/pop1/G2/G2_r2|metro2/dc1/dc/dc|0" + "metro1/pop2/G7/G7_r3|metro1/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -45659,9 +45659,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro1/pop2/G7/G7_r3|metro1/dc1/dc/dc|0", "metro2/pop2/G5/G5_r3|metro2/dc1/dc/dc|0", - "metro5/pop1/G7/G7_r3|metro5/dc1/dc/dc|0" + "metro5/pop1/G7/G7_r3|metro5/dc1/dc/dc|0", + "metro1/pop2/G7/G7_r3|metro1/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -45771,8 +45771,8 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro5/pop2/G7/G7_r1|metro5/dc1/dc/dc|0", "metro1/pop1/G4/G4_r1|metro1/dc1/dc/dc|0", + "metro5/pop2/G7/G7_r1|metro5/dc1/dc/dc|0", "metro2/pop1/G5/G5_r3|metro2/dc1/dc/dc|0" ] }, @@ -45990,8 +45990,8 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro5/pop2/G3/G3_r3|metro5/dc1/dc/dc|0", "metro2/pop2/G6/G6_r3|metro2/dc1/dc/dc|0", + "metro5/pop2/G3/G3_r3|metro5/dc1/dc/dc|0", "metro2/pop2/G4/G4_r2|metro2/dc1/dc/dc|0" ] }, @@ -46097,8 +46097,8 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro2/pop2/G3/G3_r3|metro2/dc1/dc/dc|0", "metro1/pop2/G6/G6_r3|metro1/dc1/dc/dc|0", + "metro2/pop2/G3/G3_r3|metro2/dc1/dc/dc|0", "metro5/pop2/G5/G5_r3|metro5/dc1/dc/dc|0" ] }, @@ -46205,9 +46205,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ + "metro5/pop1/G5/G5_r2|metro5/dc1/dc/dc|0", "metro5/pop1/G6/G6_r2|metro5/dc1/dc/dc|0", - "metro1/pop1/G7/G7_r1|metro1/dc1/dc/dc|0", - "metro5/pop1/G5/G5_r2|metro5/dc1/dc/dc|0" + "metro1/pop1/G7/G7_r1|metro1/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -46523,9 +46523,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro1/pop1/G7/G7_r3|metro1/dc1/dc/dc|0", + "metro5/pop1/G5/G5_r2|metro5/dc1/dc/dc|0", "metro1/pop1/G1/G1_r2|metro1/dc1/dc/dc|0", - "metro5/pop1/G5/G5_r2|metro5/dc1/dc/dc|0" + "metro1/pop1/G7/G7_r3|metro1/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -46630,8 +46630,8 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro2/pop2/G2/G2_r1|metro2/dc1/dc/dc|0", "metro2/pop2/G2/G2_r2|metro2/dc1/dc/dc|0", + "metro2/pop2/G2/G2_r1|metro2/dc1/dc/dc|0", "metro5/pop1/G1/G1_r1|metro5/dc1/dc/dc|0" ] }, @@ -46740,8 +46740,8 @@ "excluded_nodes": [], "excluded_links": [ "metro5/pop1/G2/G2_r3|metro5/dc1/dc/dc|0", - "metro1/pop2/G6/G6_r2|metro1/dc1/dc/dc|0", - "metro5/pop2/G3/G3_r2|metro5/dc1/dc/dc|0" + "metro5/pop2/G3/G3_r2|metro5/dc1/dc/dc|0", + "metro1/pop2/G6/G6_r2|metro1/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -46953,9 +46953,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro1/pop1/G1/G1_r2|metro1/dc1/dc/dc|0", "metro2/pop2/G6/G6_r1|metro2/dc1/dc/dc|0", - "metro2/pop2/G4/G4_r1|metro2/dc1/dc/dc|0" + "metro2/pop2/G4/G4_r1|metro2/dc1/dc/dc|0", + "metro1/pop1/G1/G1_r2|metro1/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -47062,10 +47062,10 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro2/pop1/G6/G6_r1|metro2/pop1/G6/G6_r3|0", - "metro2/pop1/G4/G4_r3|metro2/pop1/G7/G7_r1|0", "metro2/pop2/G1/G1_r1|metro2/pop2/G2/G2_r3|0", - "metro1/pop2/G4/G4_r1|metro1/pop2/G4/G4_r2|0" + "metro2/pop1/G4/G4_r3|metro2/pop1/G7/G7_r1|0", + "metro1/pop2/G4/G4_r1|metro1/pop2/G4/G4_r2|0", + "metro2/pop1/G6/G6_r1|metro2/pop1/G6/G6_r3|0" ] }, "failure_trace": null, @@ -47165,8 +47165,8 @@ "excluded_nodes": [], "excluded_links": [ "metro2/pop1/G5/G5_r2|metro2/dc1/dc/dc|0", - "metro5/pop1/G5/G5_r3|metro5/dc1/dc/dc|0", - "metro5/pop1/G4/G4_r2|metro5/dc1/dc/dc|0" + "metro5/pop1/G4/G4_r2|metro5/dc1/dc/dc|0", + "metro5/pop1/G5/G5_r3|metro5/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -47272,8 +47272,8 @@ "excluded_nodes": [], "excluded_links": [ "metro5/pop1/G2/G2_r2|metro5/dc1/dc/dc|0", - "metro5/pop2/G1/G1_r1|metro5/dc1/dc/dc|0", - "metro1/pop2/G4/G4_r3|metro1/dc1/dc/dc|0" + "metro1/pop2/G4/G4_r3|metro1/dc1/dc/dc|0", + "metro5/pop2/G1/G1_r1|metro5/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -47382,9 +47382,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro1/pop1/G3/G3_r3|metro1/dc1/dc/dc|0", "metro5/pop1/G2/G2_r3|metro5/dc1/dc/dc|0", - "metro5/pop1/G6/G6_r1|metro5/dc1/dc/dc|0" + "metro5/pop1/G6/G6_r1|metro5/dc1/dc/dc|0", + "metro1/pop1/G3/G3_r3|metro1/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -47490,9 +47490,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro5/pop1/G5/G5_r3|metro5/dc1/dc/dc|0", + "metro5/pop1/G3/G3_r2|metro5/dc1/dc/dc|0", "metro2/pop2/G4/G4_r3|metro2/dc1/dc/dc|0", - "metro5/pop1/G3/G3_r2|metro5/dc1/dc/dc|0" + "metro5/pop1/G5/G5_r3|metro5/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -47599,10 +47599,10 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro1/pop1/G6/G6_r1|metro1/pop1/G6/G6_r2|0", "metro5/pop1/G3/G3_r1|metro5/pop1/G4/G4_r3|0", - "metro5/pop2/G1/G1_r1|metro5/pop2/G5/G5_r3|0", - "metro1/pop2/G3/G3_r1|metro1/pop2/G4/G4_r3|0" + "metro1/pop1/G6/G6_r1|metro1/pop1/G6/G6_r2|0", + "metro1/pop2/G3/G3_r1|metro1/pop2/G4/G4_r3|0", + "metro5/pop2/G1/G1_r1|metro5/pop2/G5/G5_r3|0" ] }, "failure_trace": null, @@ -47701,10 +47701,10 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro5/pop2/G4/G4_r2|metro5/pop2/G4/G4_r3|0", - "metro5/pop2/G6/G6_r1|metro5/pop2/G7/G7_r3|0", "metro5/pop2/G1/G1_r1|metro5/pop2/G1/G1_r3|0", - "metro2/pop1/G2/G2_r2|metro2/pop1/G4/G4_r2|0" + "metro5/pop2/G6/G6_r1|metro5/pop2/G7/G7_r3|0", + "metro2/pop1/G2/G2_r2|metro2/pop1/G4/G4_r2|0", + "metro5/pop2/G4/G4_r2|metro5/pop2/G4/G4_r3|0" ] }, "failure_trace": null, @@ -47803,8 +47803,8 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro5/pop1/G7/G7_r2|metro5/dc1/dc/dc|0", "metro2/pop2/G2/G2_r1|metro2/dc1/dc/dc|0", + "metro5/pop1/G7/G7_r2|metro5/dc1/dc/dc|0", "metro1/pop2/G5/G5_r1|metro1/dc1/dc/dc|0" ] }, @@ -47915,9 +47915,9 @@ "excluded_nodes": [], "excluded_links": [ "metro5/pop2/G5/G5_r2|metro5/pop2/G5/G5_r3|0", - "metro1/pop2/G1/G1_r1|metro1/pop2/G2/G2_r3|0", "metro1/pop1/G1/G1_r3|metro1/pop1/G7/G7_r1|0", - "metro1/pop2/G1/G1_r3|metro1/pop2/G7/G7_r1|0" + "metro1/pop2/G1/G1_r3|metro1/pop2/G7/G7_r1|0", + "metro1/pop2/G1/G1_r1|metro1/pop2/G2/G2_r3|0" ] }, "failure_trace": null, @@ -48016,9 +48016,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ + "metro1/pop2/G2/G2_r3|metro1/dc1/dc/dc|0", "metro2/pop2/G6/G6_r3|metro2/dc1/dc/dc|0", - "metro5/pop2/G3/G3_r3|metro5/dc1/dc/dc|0", - "metro1/pop2/G2/G2_r3|metro1/dc1/dc/dc|0" + "metro5/pop2/G3/G3_r3|metro5/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -48124,10 +48124,10 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro5/pop1/G1/G1_r3|metro5/pop1/G4/G4_r1|0", "metro2/pop1/G3/G3_r1|metro2/pop1/G4/G4_r3|0", "metro5/pop1/G5/G5_r1|metro5/pop1/G5/G5_r2|0", - "metro2/pop2/G5/G5_r1|metro2/pop2/G6/G6_r3|0" + "metro2/pop2/G5/G5_r1|metro2/pop2/G6/G6_r3|0", + "metro5/pop1/G1/G1_r3|metro5/pop1/G4/G4_r1|0" ] }, "failure_trace": null, @@ -48338,8 +48338,8 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro5/pop2/G4/G4_r2|metro5/dc1/dc/dc|0", "metro2/pop2/G4/G4_r1|metro2/dc1/dc/dc|0", + "metro5/pop2/G4/G4_r2|metro5/dc1/dc/dc|0", "metro2/pop1/G6/G6_r1|metro2/dc1/dc/dc|0" ] }, @@ -48449,9 +48449,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro1/pop2/G7/G7_r2|metro1/dc1/dc/dc|0", "metro2/pop1/G1/G1_r1|metro2/dc1/dc/dc|0", - "metro2/pop1/G7/G7_r2|metro2/dc1/dc/dc|0" + "metro2/pop1/G7/G7_r2|metro2/dc1/dc/dc|0", + "metro1/pop2/G7/G7_r2|metro1/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -48559,8 +48559,8 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro2/pop2/G1/G1_r3|metro2/dc1/dc/dc|0", "metro5/pop2/G4/G4_r3|metro5/dc1/dc/dc|0", + "metro2/pop2/G1/G1_r3|metro2/dc1/dc/dc|0", "metro2/pop2/G3/G3_r2|metro2/dc1/dc/dc|0" ] }, @@ -48667,8 +48667,8 @@ "excluded_nodes": [], "excluded_links": [ "metro2/pop1/G1/G1_r2|metro2/dc1/dc/dc|0", - "metro1/pop1/G4/G4_r3|metro1/dc1/dc/dc|0", - "metro5/pop2/G5/G5_r3|metro5/dc1/dc/dc|0" + "metro5/pop2/G5/G5_r3|metro5/dc1/dc/dc|0", + "metro1/pop1/G4/G4_r3|metro1/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -48879,8 +48879,8 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro1/pop1/G3/G3_r3|metro1/dc1/dc/dc|0", "metro2/pop2/G3/G3_r3|metro2/dc1/dc/dc|0", + "metro1/pop1/G3/G3_r3|metro1/dc1/dc/dc|0", "metro2/pop1/G6/G6_r1|metro2/dc1/dc/dc|0" ] }, @@ -48990,9 +48990,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro1/pop2/G7/G7_r2|metro1/dc1/dc/dc|0", "metro5/pop1/G4/G4_r2|metro5/dc1/dc/dc|0", - "metro1/pop2/G2/G2_r1|metro1/dc1/dc/dc|0" + "metro1/pop2/G2/G2_r1|metro1/dc1/dc/dc|0", + "metro1/pop2/G7/G7_r2|metro1/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -49305,8 +49305,8 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro1/pop1/G3/G3_r3|metro1/dc1/dc/dc|0", "metro2/pop1/G3/G3_r3|metro2/dc1/dc/dc|0", + "metro1/pop1/G3/G3_r3|metro1/dc1/dc/dc|0", "metro2/pop1/G2/G2_r1|metro2/dc1/dc/dc|0" ] }, @@ -49525,9 +49525,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro5/pop1/G3/G3_r1|metro5/dc1/dc/dc|0", "metro2/pop2/G6/G6_r1|metro2/dc1/dc/dc|0", - "metro1/pop1/G4/G4_r1|metro1/dc1/dc/dc|0" + "metro1/pop1/G4/G4_r1|metro1/dc1/dc/dc|0", + "metro5/pop1/G3/G3_r1|metro5/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -49859,10 +49859,10 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro5/pop1/G5/G5_r1|metro5/pop1/G6/G6_r3|0", - "metro5/pop1/G3/G3_r2|metro5/pop1/G5/G5_r2|0", "metro5/pop1/G3/G3_r3|metro5/pop1/G6/G6_r1|0", - "metro5/pop1/G6/G6_r2|metro5/pop1/G6/G6_r3|0" + "metro5/pop1/G3/G3_r2|metro5/pop1/G5/G5_r2|0", + "metro5/pop1/G6/G6_r2|metro5/pop1/G6/G6_r3|0", + "metro5/pop1/G5/G5_r1|metro5/pop1/G6/G6_r3|0" ] }, "failure_trace": null, @@ -50065,9 +50065,9 @@ "excluded_nodes": [], "excluded_links": [ "metro2/pop2/G1/G1_r1|metro2/pop2/G1/G1_r2|0", + "metro5/pop2/G4/G4_r3|metro5/pop2/G7/G7_r1|0", "metro1/pop2/G1/G1_r1|metro1/pop2/G2/G2_r3|0", - "metro5/pop1/G7/G7_r1|metro5/pop1/G7/G7_r3|0", - "metro5/pop2/G4/G4_r3|metro5/pop2/G7/G7_r1|0" + "metro5/pop1/G7/G7_r1|metro5/pop1/G7/G7_r3|0" ] }, "failure_trace": null, @@ -50278,8 +50278,8 @@ "excluded_nodes": [], "excluded_links": [ "metro5/pop1/G6/G6_r3|metro5/dc1/dc/dc|0", - "metro5/pop2/G2/G2_r1|metro5/dc1/dc/dc|0", - "metro2/pop1/G2/G2_r1|metro2/dc1/dc/dc|0" + "metro2/pop1/G2/G2_r1|metro2/dc1/dc/dc|0", + "metro5/pop2/G2/G2_r1|metro5/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -50499,8 +50499,8 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro1/pop2/G4/G4_r2|metro1/dc1/dc/dc|0", "metro5/pop1/G2/G2_r3|metro5/dc1/dc/dc|0", + "metro1/pop2/G4/G4_r2|metro1/dc1/dc/dc|0", "metro2/pop2/G6/G6_r3|metro2/dc1/dc/dc|0" ] }, @@ -50610,8 +50610,8 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro5/pop2/G1/G1_r2|metro5/dc1/dc/dc|0", "metro5/pop1/G3/G3_r2|metro5/dc1/dc/dc|0", + "metro5/pop2/G1/G1_r2|metro5/dc1/dc/dc|0", "metro2/pop1/G6/G6_r3|metro2/dc1/dc/dc|0" ] }, @@ -50927,9 +50927,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro2/pop1/G4/G4_r3|metro2/dc1/dc/dc|0", "metro1/pop2/G6/G6_r3|metro1/dc1/dc/dc|0", - "metro5/pop2/G1/G1_r1|metro5/dc1/dc/dc|0" + "metro5/pop2/G1/G1_r1|metro5/dc1/dc/dc|0", + "metro2/pop1/G4/G4_r3|metro2/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -51039,10 +51039,10 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro5/pop1/G6/G6_r1|metro5/pop1/G7/G7_r3|0", - "metro5/pop2/G7/G7_r1|metro5/pop2/G7/G7_r2|0", "metro2/pop2/G2/G2_r2|metro2/pop2/G2/G2_r3|0", - "metro1/pop2/G1/G1_r3|metro1/pop2/G4/G4_r1|0" + "metro5/pop1/G6/G6_r1|metro5/pop1/G7/G7_r3|0", + "metro1/pop2/G1/G1_r3|metro1/pop2/G4/G4_r1|0", + "metro5/pop2/G7/G7_r1|metro5/pop2/G7/G7_r2|0" ] }, "failure_trace": null, @@ -51141,9 +51141,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro1/pop2/G5/G5_r3|metro1/dc1/dc/dc|0", "metro2/pop2/G6/G6_r1|metro2/dc1/dc/dc|0", - "metro1/pop1/G5/G5_r2|metro1/dc1/dc/dc|0" + "metro1/pop1/G5/G5_r2|metro1/dc1/dc/dc|0", + "metro1/pop2/G5/G5_r3|metro1/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -51252,10 +51252,10 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro2/pop2/G3/G3_r1|metro2/pop2/G7/G7_r3|0", - "metro2/pop2/G7/G7_r2|metro2/pop2/G7/G7_r3|0", "metro2/pop1/G1/G1_r1|metro2/pop1/G5/G5_r3|0", - "metro1/pop2/G6/G6_r1|metro1/pop2/G6/G6_r3|0" + "metro1/pop2/G6/G6_r1|metro1/pop2/G6/G6_r3|0", + "metro2/pop2/G3/G3_r1|metro2/pop2/G7/G7_r3|0", + "metro2/pop2/G7/G7_r2|metro2/pop2/G7/G7_r3|0" ] }, "failure_trace": null, @@ -51354,9 +51354,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ + "metro5/pop2/G3/G3_r2|metro5/dc1/dc/dc|0", "metro1/pop2/G6/G6_r1|metro1/dc1/dc/dc|0", - "metro2/pop1/G6/G6_r3|metro2/dc1/dc/dc|0", - "metro5/pop2/G3/G3_r2|metro5/dc1/dc/dc|0" + "metro2/pop1/G6/G6_r3|metro2/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -51466,9 +51466,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro1/pop2/G2/G2_r2|metro1/dc1/dc/dc|0", "metro2/pop2/G6/G6_r1|metro2/dc1/dc/dc|0", - "metro5/pop2/G7/G7_r3|metro5/dc1/dc/dc|0" + "metro5/pop2/G7/G7_r3|metro5/dc1/dc/dc|0", + "metro1/pop2/G2/G2_r2|metro1/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -51575,8 +51575,8 @@ "excluded_nodes": [], "excluded_links": [ "metro2/pop2/G5/G5_r3|metro2/dc1/dc/dc|0", - "metro5/pop1/G3/G3_r1|metro5/dc1/dc/dc|0", - "metro1/pop1/G7/G7_r1|metro1/dc1/dc/dc|0" + "metro1/pop1/G7/G7_r1|metro1/dc1/dc/dc|0", + "metro5/pop1/G3/G3_r1|metro5/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -51685,10 +51685,10 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ + "metro5/pop1/G2/G2_r1|metro5/pop1/G2/G2_r3|0", "metro2/pop1/G2/G2_r1|metro2/pop1/G2/G2_r2|0", - "metro1/pop1/G5/G5_r1|metro1/pop1/G5/G5_r3|0", "metro1/pop1/G2/G2_r1|metro1/pop1/G3/G3_r3|0", - "metro5/pop1/G2/G2_r1|metro5/pop1/G2/G2_r3|0" + "metro1/pop1/G5/G5_r1|metro1/pop1/G5/G5_r3|0" ] }, "failure_trace": null, @@ -51788,8 +51788,8 @@ "excluded_nodes": [], "excluded_links": [ "metro5/pop1/G2/G2_r3|metro5/dc1/dc/dc|0", - "metro2/pop2/G5/G5_r1|metro2/dc1/dc/dc|0", - "metro2/pop2/G3/G3_r3|metro2/dc1/dc/dc|0" + "metro2/pop2/G3/G3_r3|metro2/dc1/dc/dc|0", + "metro2/pop2/G5/G5_r1|metro2/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -51896,9 +51896,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ + "metro2/pop2/G1/G1_r2|metro2/dc1/dc/dc|0", "metro2/pop1/G1/G1_r2|metro2/dc1/dc/dc|0", - "metro1/pop2/G4/G4_r2|metro1/dc1/dc/dc|0", - "metro2/pop2/G1/G1_r2|metro2/dc1/dc/dc|0" + "metro1/pop2/G4/G4_r2|metro1/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -52111,9 +52111,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ + "metro2/pop2/G6/G6_r2|metro2/dc1/dc/dc|0", "metro1/pop2/G1/G1_r1|metro1/dc1/dc/dc|0", - "metro1/pop2/G1/G1_r3|metro1/dc1/dc/dc|0", - "metro2/pop2/G6/G6_r2|metro2/dc1/dc/dc|0" + "metro1/pop2/G1/G1_r3|metro1/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -52327,8 +52327,8 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro5/pop1/G5/G5_r3|metro5/dc1/dc/dc|0", "metro2/pop2/G2/G2_r2|metro2/dc1/dc/dc|0", + "metro5/pop1/G5/G5_r3|metro5/dc1/dc/dc|0", "metro1/pop2/G6/G6_r2|metro1/dc1/dc/dc|0" ] }, @@ -52438,9 +52438,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro1/pop2/G7/G7_r2|metro1/dc1/dc/dc|0", + "metro2/pop1/G6/G6_r1|metro2/dc1/dc/dc|0", "metro5/pop2/G5/G5_r3|metro5/dc1/dc/dc|0", - "metro2/pop1/G6/G6_r1|metro2/dc1/dc/dc|0" + "metro1/pop2/G7/G7_r2|metro1/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -52551,8 +52551,8 @@ "excluded_nodes": [], "excluded_links": [ "metro2/pop1/G3/G3_r2|metro2/dc1/dc/dc|0", - "metro1/pop1/G3/G3_r1|metro1/dc1/dc/dc|0", - "metro1/pop2/G5/G5_r1|metro1/dc1/dc/dc|0" + "metro1/pop2/G5/G5_r1|metro1/dc1/dc/dc|0", + "metro1/pop1/G3/G3_r1|metro1/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -52661,10 +52661,10 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro5/pop2/G5/G5_r1|metro5/pop2/G6/G6_r3|0", - "metro1/pop1/G7/G7_r1|metro1/pop1/G7/G7_r3|0", + "metro2/pop2/G1/G1_r1|metro2/pop2/G1/G1_r2|0", "metro5/pop1/G2/G2_r2|metro5/pop1/G4/G4_r2|0", - "metro2/pop2/G1/G1_r1|metro2/pop2/G1/G1_r2|0" + "metro1/pop1/G7/G7_r1|metro1/pop1/G7/G7_r3|0", + "metro5/pop2/G5/G5_r1|metro5/pop2/G6/G6_r3|0" ] }, "failure_trace": null, @@ -52872,9 +52872,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ + "metro5/pop2/G5/G5_r3|metro5/dc1/dc/dc|0", "metro2/pop2/G4/G4_r2|metro2/dc1/dc/dc|0", - "metro1/pop2/G6/G6_r2|metro1/dc1/dc/dc|0", - "metro5/pop2/G5/G5_r3|metro5/dc1/dc/dc|0" + "metro1/pop2/G6/G6_r2|metro1/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -52980,9 +52980,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro2/pop2/G3/G3_r1|metro2/dc1/dc/dc|0", + "metro2/pop1/G3/G3_r3|metro2/dc1/dc/dc|0", "metro1/pop2/G3/G3_r2|metro1/dc1/dc/dc|0", - "metro2/pop1/G3/G3_r3|metro2/dc1/dc/dc|0" + "metro2/pop2/G3/G3_r1|metro2/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -53202,8 +53202,8 @@ "excluded_nodes": [], "excluded_links": [ "metro2/pop1/G7/G7_r1|metro2/dc1/dc/dc|0", - "metro1/pop1/G3/G3_r1|metro1/dc1/dc/dc|0", - "metro1/pop1/G2/G2_r2|metro1/dc1/dc/dc|0" + "metro1/pop1/G2/G2_r2|metro1/dc1/dc/dc|0", + "metro1/pop1/G3/G3_r1|metro1/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -53416,9 +53416,9 @@ "excluded_nodes": [], "excluded_links": [ "metro2/pop1/G7/G7_r2|metro2/pop1/G7/G7_r3|0", - "metro1/pop1/G1/G1_r2|metro1/pop1/G6/G6_r2|0", "metro2/pop1/G1/G1_r2|metro2/pop1/G1/G1_r3|0", - "metro2/pop1/G4/G4_r2|metro2/pop1/G6/G6_r2|0" + "metro2/pop1/G4/G4_r2|metro2/pop1/G6/G6_r2|0", + "metro1/pop1/G1/G1_r2|metro1/pop1/G6/G6_r2|0" ] }, "failure_trace": null, @@ -53517,10 +53517,10 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro2/pop1/G4/G4_r1|metro2/pop1/G4/G4_r3|0", + "metro1/pop1/G1/G1_r1|metro1/pop1/G1/G1_r2|0", "metro2/pop1/G4/G4_r3|metro2/pop1/G7/G7_r1|0", - "metro5/pop1/G2/G2_r1|metro5/pop1/G3/G3_r3|0", - "metro1/pop1/G1/G1_r1|metro1/pop1/G1/G1_r2|0" + "metro2/pop1/G4/G4_r1|metro2/pop1/G4/G4_r3|0", + "metro5/pop1/G2/G2_r1|metro5/pop1/G3/G3_r3|0" ] }, "failure_trace": null, @@ -53619,9 +53619,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro1/pop2/G1/G1_r1|metro1/dc1/dc/dc|0", + "metro1/pop1/G4/G4_r1|metro1/dc1/dc/dc|0", "metro1/pop1/G2/G2_r2|metro1/dc1/dc/dc|0", - "metro1/pop1/G4/G4_r1|metro1/dc1/dc/dc|0" + "metro1/pop2/G1/G1_r1|metro1/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -53729,9 +53729,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro2/pop2/G1/G1_r1|metro2/dc1/dc/dc|0", "metro5/pop1/G5/G5_r1|metro5/dc1/dc/dc|0", - "metro1/pop1/G5/G5_r1|metro1/dc1/dc/dc|0" + "metro1/pop1/G5/G5_r1|metro1/dc1/dc/dc|0", + "metro2/pop2/G1/G1_r1|metro2/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -53843,8 +53843,8 @@ "excluded_nodes": [], "excluded_links": [ "metro5/pop2/G4/G4_r3|metro5/dc1/dc/dc|0", - "metro1/pop1/G3/G3_r1|metro1/dc1/dc/dc|0", - "metro2/pop2/G4/G4_r2|metro2/dc1/dc/dc|0" + "metro2/pop2/G4/G4_r2|metro2/dc1/dc/dc|0", + "metro1/pop1/G3/G3_r1|metro1/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -53953,9 +53953,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro5/pop2/G6/G6_r1|metro5/dc1/dc/dc|0", "metro2/pop2/G2/G2_r1|metro2/dc1/dc/dc|0", - "metro2/pop1/G6/G6_r1|metro2/dc1/dc/dc|0" + "metro2/pop1/G6/G6_r1|metro2/dc1/dc/dc|0", + "metro5/pop2/G6/G6_r1|metro5/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -54064,9 +54064,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro5/pop1/G3/G3_r1|metro5/dc1/dc/dc|0", "metro5/pop1/G1/G1_r1|metro5/dc1/dc/dc|0", - "metro2/pop2/G3/G3_r3|metro2/dc1/dc/dc|0" + "metro2/pop2/G3/G3_r3|metro2/dc1/dc/dc|0", + "metro5/pop1/G3/G3_r1|metro5/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -54174,8 +54174,8 @@ "excluded_nodes": [], "excluded_links": [ "metro2/pop1/G3/G3_r1|metro2/dc1/dc/dc|0", - "metro5/pop2/G3/G3_r1|metro5/dc1/dc/dc|0", - "metro5/pop2/G5/G5_r3|metro5/dc1/dc/dc|0" + "metro5/pop2/G5/G5_r3|metro5/dc1/dc/dc|0", + "metro5/pop2/G3/G3_r1|metro5/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -54282,8 +54282,8 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro1/pop2/G6/G6_r1|metro1/dc1/dc/dc|0", "metro2/pop2/G3/G3_r1|metro2/dc1/dc/dc|0", + "metro1/pop2/G6/G6_r1|metro1/dc1/dc/dc|0", "metro5/pop2/G3/G3_r1|metro5/dc1/dc/dc|0" ] }, @@ -54390,10 +54390,10 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro5/pop2/G5/G5_r1|metro5/pop2/G5/G5_r2|0", + "metro2/pop1/G1/G1_r1|metro2/pop1/G1/G1_r2|0", "metro1/pop1/G2/G2_r2|metro1/pop1/G4/G4_r2|0", - "metro5/pop1/G5/G5_r1|metro5/pop1/G5/G5_r2|0", - "metro2/pop1/G1/G1_r1|metro2/pop1/G1/G1_r2|0" + "metro5/pop2/G5/G5_r1|metro5/pop2/G5/G5_r2|0", + "metro5/pop1/G5/G5_r1|metro5/pop1/G5/G5_r2|0" ] }, "failure_trace": null, @@ -54604,9 +54604,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro2/pop2/G7/G7_r1|metro2/dc1/dc/dc|0", "metro5/pop1/G3/G3_r2|metro5/dc1/dc/dc|0", - "metro1/pop2/G4/G4_r1|metro1/dc1/dc/dc|0" + "metro1/pop2/G4/G4_r1|metro1/dc1/dc/dc|0", + "metro2/pop2/G7/G7_r1|metro2/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -54933,8 +54933,8 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro1/pop1/G3/G3_r3|metro1/dc1/dc/dc|0", "metro5/pop1/G4/G4_r3|metro5/dc1/dc/dc|0", + "metro1/pop1/G3/G3_r3|metro1/dc1/dc/dc|0", "metro5/pop2/G1/G1_r3|metro5/dc1/dc/dc|0" ] }, @@ -55147,9 +55147,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ + "metro5/pop2/G6/G6_r2|metro5/dc1/dc/dc|0", "metro2/pop1/G6/G6_r3|metro2/dc1/dc/dc|0", - "metro1/pop1/G3/G3_r1|metro1/dc1/dc/dc|0", - "metro5/pop2/G6/G6_r2|metro5/dc1/dc/dc|0" + "metro1/pop1/G3/G3_r1|metro1/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -55369,9 +55369,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro1/pop1/G4/G4_r3|metro1/dc1/dc/dc|0", + "metro5/pop2/G3/G3_r3|metro5/dc1/dc/dc|0", "metro2/pop1/G5/G5_r3|metro2/dc1/dc/dc|0", - "metro5/pop2/G3/G3_r3|metro5/dc1/dc/dc|0" + "metro1/pop1/G4/G4_r3|metro1/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -55583,10 +55583,10 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro1/pop2/G7/G7_r1|metro1/pop2/G7/G7_r2|0", - "metro2/pop1/G3/G3_r1|metro2/pop1/G7/G7_r3|0", "metro1/pop2/G2/G2_r1|metro1/pop2/G6/G6_r3|0", - "metro5/pop2/G3/G3_r1|metro5/pop2/G3/G3_r2|0" + "metro5/pop2/G3/G3_r1|metro5/pop2/G3/G3_r2|0", + "metro2/pop1/G3/G3_r1|metro2/pop1/G7/G7_r3|0", + "metro1/pop2/G7/G7_r1|metro1/pop2/G7/G7_r2|0" ] }, "failure_trace": null, @@ -55685,10 +55685,10 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro2/pop2/G2/G2_r2|metro2/pop2/G4/G4_r2|0", - "metro5/pop2/G4/G4_r2|metro5/pop2/G4/G4_r3|0", "metro2/pop1/G1/G1_r1|metro2/pop1/G5/G5_r3|0", - "metro5/pop1/G1/G1_r2|metro5/pop1/G3/G3_r2|0" + "metro5/pop1/G1/G1_r2|metro5/pop1/G3/G3_r2|0", + "metro2/pop2/G2/G2_r2|metro2/pop2/G4/G4_r2|0", + "metro5/pop2/G4/G4_r2|metro5/pop2/G4/G4_r3|0" ] }, "failure_trace": null, @@ -55787,10 +55787,10 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro1/pop1/G2/G2_r3|metro1/pop1/G5/G5_r1|0", - "metro2/pop2/G7/G7_r1|metro2/pop2/G7/G7_r3|0", "metro1/pop1/G4/G4_r1|metro1/pop1/G4/G4_r3|0", - "metro2/pop1/G3/G3_r3|metro2/pop1/G6/G6_r1|0" + "metro2/pop1/G3/G3_r3|metro2/pop1/G6/G6_r1|0", + "metro2/pop2/G7/G7_r1|metro2/pop2/G7/G7_r3|0", + "metro1/pop1/G2/G2_r3|metro1/pop1/G5/G5_r1|0" ] }, "failure_trace": null, @@ -55992,9 +55992,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro1/pop2/G7/G7_r2|metro1/dc1/dc/dc|0", + "metro5/pop1/G6/G6_r3|metro5/dc1/dc/dc|0", "metro1/pop1/G4/G4_r2|metro1/dc1/dc/dc|0", - "metro5/pop1/G6/G6_r3|metro5/dc1/dc/dc|0" + "metro1/pop2/G7/G7_r2|metro1/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -56214,9 +56214,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ + "metro2/pop2/G3/G3_r3|metro2/dc1/dc/dc|0", "metro2/pop1/G1/G1_r1|metro2/dc1/dc/dc|0", - "metro5/pop2/G6/G6_r1|metro5/dc1/dc/dc|0", - "metro2/pop2/G3/G3_r3|metro2/dc1/dc/dc|0" + "metro5/pop2/G6/G6_r1|metro5/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -56325,9 +56325,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro1/pop2/G7/G7_r3|metro1/dc1/dc/dc|0", "metro1/pop1/G2/G2_r3|metro1/dc1/dc/dc|0", - "metro2/pop1/G6/G6_r1|metro2/dc1/dc/dc|0" + "metro2/pop1/G6/G6_r1|metro2/dc1/dc/dc|0", + "metro1/pop2/G7/G7_r3|metro1/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -56437,9 +56437,9 @@ "excluded_nodes": [], "excluded_links": [ "metro5/pop1/G3/G3_r2|metro5/pop1/G3/G3_r3|0", - "metro1/pop2/G6/G6_r2|metro1/pop2/G6/G6_r3|0", + "metro1/pop2/G1/G1_r1|metro1/pop2/G1/G1_r3|0", "metro2/pop1/G4/G4_r1|metro2/pop1/G4/G4_r2|0", - "metro1/pop2/G1/G1_r1|metro1/pop2/G1/G1_r3|0" + "metro1/pop2/G6/G6_r2|metro1/pop2/G6/G6_r3|0" ] }, "failure_trace": null, @@ -56538,9 +56538,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ + "metro2/pop2/G4/G4_r1|metro2/dc1/dc/dc|0", "metro1/pop2/G2/G2_r3|metro1/dc1/dc/dc|0", - "metro2/pop2/G1/G1_r2|metro2/dc1/dc/dc|0", - "metro2/pop2/G4/G4_r1|metro2/dc1/dc/dc|0" + "metro2/pop2/G1/G1_r2|metro2/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -56646,9 +56646,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ + "metro5/pop1/G3/G3_r2|metro5/dc1/dc/dc|0", "metro1/pop2/G7/G7_r2|metro1/dc1/dc/dc|0", - "metro2/pop1/G2/G2_r3|metro2/dc1/dc/dc|0", - "metro5/pop1/G3/G3_r2|metro5/dc1/dc/dc|0" + "metro2/pop1/G2/G2_r3|metro2/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -56758,8 +56758,8 @@ "excluded_nodes": [], "excluded_links": [ "metro5/pop2/G7/G7_r2|metro5/dc1/dc/dc|0", - "metro5/pop2/G6/G6_r2|metro5/dc1/dc/dc|0", - "metro1/pop1/G5/G5_r2|metro1/dc1/dc/dc|0" + "metro1/pop1/G5/G5_r2|metro1/dc1/dc/dc|0", + "metro5/pop2/G6/G6_r2|metro5/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -56866,9 +56866,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro2/pop1/G4/G4_r2|metro2/dc1/dc/dc|0", "metro5/pop1/G7/G7_r1|metro5/dc1/dc/dc|0", - "metro1/pop2/G5/G5_r1|metro1/dc1/dc/dc|0" + "metro1/pop2/G5/G5_r1|metro1/dc1/dc/dc|0", + "metro2/pop1/G4/G4_r2|metro2/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -56978,8 +56978,8 @@ "excluded_nodes": [], "excluded_links": [ "metro5/pop1/G6/G6_r1|metro5/dc1/dc/dc|0", - "metro5/pop2/G1/G1_r3|metro5/dc1/dc/dc|0", - "metro5/pop1/G5/G5_r2|metro5/dc1/dc/dc|0" + "metro5/pop1/G5/G5_r2|metro5/dc1/dc/dc|0", + "metro5/pop2/G1/G1_r3|metro5/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -57086,9 +57086,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ + "metro5/pop1/G7/G7_r1|metro5/dc1/dc/dc|0", "metro1/pop1/G2/G2_r2|metro1/dc1/dc/dc|0", - "metro2/pop1/G3/G3_r3|metro2/dc1/dc/dc|0", - "metro5/pop1/G7/G7_r1|metro5/dc1/dc/dc|0" + "metro2/pop1/G3/G3_r3|metro2/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -57193,9 +57193,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro1/pop2/G7/G7_r2|metro1/dc1/dc/dc|0", "metro1/pop2/G1/G1_r2|metro1/dc1/dc/dc|0", - "metro2/pop2/G6/G6_r2|metro2/dc1/dc/dc|0" + "metro2/pop2/G6/G6_r2|metro2/dc1/dc/dc|0", + "metro1/pop2/G7/G7_r2|metro1/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -57412,10 +57412,10 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ + "metro2/pop1/G1/G1_r1|metro2/pop1/G1/G1_r2|0", "metro2/pop1/G2/G2_r1|metro2/pop1/G2/G2_r2|0", "metro5/pop2/G5/G5_r1|metro5/pop2/G5/G5_r3|0", - "metro2/pop2/G7/G7_r2|metro2/pop2/G7/G7_r3|0", - "metro2/pop1/G1/G1_r1|metro2/pop1/G1/G1_r2|0" + "metro2/pop2/G7/G7_r2|metro2/pop2/G7/G7_r3|0" ] }, "failure_trace": null, @@ -57514,8 +57514,8 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro2/pop1/G1/G1_r2|metro2/dc1/dc/dc|0", "metro2/pop2/G3/G3_r1|metro2/dc1/dc/dc|0", + "metro2/pop1/G1/G1_r2|metro2/dc1/dc/dc|0", "metro2/pop1/G6/G6_r3|metro2/dc1/dc/dc|0" ] }, @@ -57624,9 +57624,9 @@ "excluded_nodes": [], "excluded_links": [ "metro5/pop2/G1/G1_r1|metro5/pop2/G2/G2_r3|0", + "metro2/pop1/G3/G3_r3|metro2/pop1/G6/G6_r1|0", "metro1/pop1/G4/G4_r2|metro1/pop1/G4/G4_r3|0", - "metro5/pop2/G1/G1_r2|metro5/pop2/G3/G3_r2|0", - "metro2/pop1/G3/G3_r3|metro2/pop1/G6/G6_r1|0" + "metro5/pop2/G1/G1_r2|metro5/pop2/G3/G3_r2|0" ] }, "failure_trace": null, @@ -57725,9 +57725,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ + "metro2/pop2/G4/G4_r1|metro2/dc1/dc/dc|0", "metro2/pop2/G6/G6_r2|metro2/dc1/dc/dc|0", - "metro5/pop2/G6/G6_r3|metro5/dc1/dc/dc|0", - "metro2/pop2/G4/G4_r1|metro2/dc1/dc/dc|0" + "metro5/pop2/G6/G6_r3|metro5/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -57832,8 +57832,8 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro2/pop1/G5/G5_r2|metro2/dc1/dc/dc|0", "metro2/pop2/G6/G6_r1|metro2/dc1/dc/dc|0", + "metro2/pop1/G5/G5_r2|metro2/dc1/dc/dc|0", "metro1/pop1/G6/G6_r2|metro1/dc1/dc/dc|0" ] }, @@ -57944,8 +57944,8 @@ "excluded_nodes": [], "excluded_links": [ "metro2/pop1/G3/G3_r2|metro2/dc1/dc/dc|0", - "metro5/pop1/G3/G3_r1|metro5/dc1/dc/dc|0", - "metro2/pop1/G7/G7_r3|metro2/dc1/dc/dc|0" + "metro2/pop1/G7/G7_r3|metro2/dc1/dc/dc|0", + "metro5/pop1/G3/G3_r1|metro5/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -58271,8 +58271,8 @@ "excluded_nodes": [], "excluded_links": [ "metro2/pop1/G1/G1_r1|metro2/dc1/dc/dc|0", - "metro5/pop2/G1/G1_r3|metro5/dc1/dc/dc|0", - "metro1/pop2/G5/G5_r2|metro1/dc1/dc/dc|0" + "metro1/pop2/G5/G5_r2|metro1/dc1/dc/dc|0", + "metro5/pop2/G1/G1_r3|metro5/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -58382,10 +58382,10 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro5/pop2/G1/G1_r1|metro5/pop2/G2/G2_r3|0", "metro1/pop2/G5/G5_r1|metro1/pop2/G6/G6_r3|0", + "metro1/pop2/G6/G6_r1|metro1/pop2/G6/G6_r2|0", "metro5/pop1/G2/G2_r2|metro5/pop1/G7/G7_r2|0", - "metro1/pop2/G6/G6_r1|metro1/pop2/G6/G6_r2|0" + "metro5/pop2/G1/G1_r1|metro5/pop2/G2/G2_r3|0" ] }, "failure_trace": null, @@ -58806,8 +58806,8 @@ "excluded_nodes": [], "excluded_links": [ "metro5/pop2/G1/G1_r1|metro5/pop2/G2/G2_r3|0", - "metro5/pop2/G3/G3_r1|metro5/pop2/G7/G7_r3|0", "metro1/pop1/G7/G7_r1|metro1/pop1/G7/G7_r3|0", + "metro5/pop2/G3/G3_r1|metro5/pop2/G7/G7_r3|0", "metro2/pop1/G6/G6_r1|metro2/pop1/G6/G6_r3|0" ] }, @@ -58907,9 +58907,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro2/pop2/G4/G4_r2|metro2/dc1/dc/dc|0", "metro2/pop2/G3/G3_r1|metro2/dc1/dc/dc|0", - "metro5/pop2/G4/G4_r1|metro5/dc1/dc/dc|0" + "metro5/pop2/G4/G4_r1|metro5/dc1/dc/dc|0", + "metro2/pop2/G4/G4_r2|metro2/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -59234,8 +59234,8 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro2/pop2/G5/G5_r2|metro2/dc1/dc/dc|0", "metro5/pop2/G4/G4_r2|metro5/dc1/dc/dc|0", + "metro2/pop2/G5/G5_r2|metro2/dc1/dc/dc|0", "metro5/pop2/G7/G7_r3|metro5/dc1/dc/dc|0" ] }, @@ -59342,8 +59342,8 @@ "excluded_nodes": [], "excluded_links": [ "metro5/pop1/G6/G6_r1|metro5/dc1/dc/dc|0", - "metro5/pop1/G4/G4_r2|metro5/dc1/dc/dc|0", - "metro5/pop2/G6/G6_r2|metro5/dc1/dc/dc|0" + "metro5/pop2/G6/G6_r2|metro5/dc1/dc/dc|0", + "metro5/pop1/G4/G4_r2|metro5/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -59553,8 +59553,8 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro2/pop2/G5/G5_r2|metro2/dc1/dc/dc|0", "metro2/pop1/G6/G6_r2|metro2/dc1/dc/dc|0", + "metro2/pop2/G5/G5_r2|metro2/dc1/dc/dc|0", "metro5/pop2/G5/G5_r3|metro5/dc1/dc/dc|0" ] }, @@ -59775,9 +59775,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ + "metro2/pop1/G2/G2_r2|metro2/dc1/dc/dc|0", "metro2/pop2/G1/G1_r1|metro2/dc1/dc/dc|0", - "metro2/pop1/G4/G4_r3|metro2/dc1/dc/dc|0", - "metro2/pop1/G2/G2_r2|metro2/dc1/dc/dc|0" + "metro2/pop1/G4/G4_r3|metro2/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -59884,10 +59884,10 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro1/pop1/G1/G1_r2|metro1/pop1/G3/G3_r2|0", + "metro1/pop2/G1/G1_r2|metro1/pop2/G6/G6_r2|0", "metro2/pop2/G1/G1_r1|metro2/pop2/G1/G1_r3|0", - "metro5/pop1/G1/G1_r2|metro5/pop1/G1/G1_r3|0", - "metro1/pop2/G1/G1_r2|metro1/pop2/G6/G6_r2|0" + "metro1/pop1/G1/G1_r2|metro1/pop1/G3/G3_r2|0", + "metro5/pop1/G1/G1_r2|metro5/pop1/G1/G1_r3|0" ] }, "failure_trace": null, @@ -59986,10 +59986,10 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro1/pop2/G4/G4_r2|metro1/pop2/G6/G6_r2|0", - "metro2/pop1/G3/G3_r1|metro2/pop1/G3/G3_r3|0", + "metro5/pop2/G4/G4_r3|metro5/pop2/G7/G7_r1|0", "metro1/pop2/G6/G6_r1|metro1/pop2/G6/G6_r3|0", - "metro5/pop2/G4/G4_r3|metro5/pop2/G7/G7_r1|0" + "metro2/pop1/G3/G3_r1|metro2/pop1/G3/G3_r3|0", + "metro1/pop2/G4/G4_r2|metro1/pop2/G6/G6_r2|0" ] }, "failure_trace": null, @@ -60088,9 +60088,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro1/pop1/G6/G6_r3|metro1/dc1/dc/dc|0", "metro2/pop2/G2/G2_r1|metro2/dc1/dc/dc|0", - "metro5/pop2/G6/G6_r2|metro5/dc1/dc/dc|0" + "metro5/pop2/G6/G6_r2|metro5/dc1/dc/dc|0", + "metro1/pop1/G6/G6_r3|metro1/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -60200,8 +60200,8 @@ "excluded_nodes": [], "excluded_links": [ "metro1/pop1/G1/G1_r2|metro1/dc1/dc/dc|0", - "metro5/pop1/G1/G1_r3|metro5/dc1/dc/dc|0", - "metro5/pop2/G6/G6_r2|metro5/dc1/dc/dc|0" + "metro5/pop2/G6/G6_r2|metro5/dc1/dc/dc|0", + "metro5/pop1/G1/G1_r3|metro5/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -60311,10 +60311,10 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ + "metro5/pop2/G1/G1_r1|metro5/pop2/G1/G1_r3|0", "metro2/pop1/G2/G2_r1|metro2/pop1/G2/G2_r2|0", "metro1/pop2/G5/G5_r1|metro1/pop2/G5/G5_r2|0", - "metro2/pop1/G1/G1_r2|metro2/pop1/G6/G6_r2|0", - "metro5/pop2/G1/G1_r1|metro5/pop2/G1/G1_r3|0" + "metro2/pop1/G1/G1_r2|metro2/pop1/G6/G6_r2|0" ] }, "failure_trace": null, @@ -60736,8 +60736,8 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro5/pop2/G1/G1_r1|metro5/dc1/dc/dc|0", "metro5/pop2/G3/G3_r3|metro5/dc1/dc/dc|0", + "metro5/pop2/G1/G1_r1|metro5/dc1/dc/dc|0", "metro1/pop1/G6/G6_r3|metro1/dc1/dc/dc|0" ] }, @@ -60845,9 +60845,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro1/pop2/G1/G1_r1|metro1/dc1/dc/dc|0", "metro2/pop1/G3/G3_r3|metro2/dc1/dc/dc|0", - "metro5/pop2/G7/G7_r1|metro5/dc1/dc/dc|0" + "metro5/pop2/G7/G7_r1|metro5/dc1/dc/dc|0", + "metro1/pop2/G1/G1_r1|metro1/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -60957,9 +60957,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro2/pop1/G4/G4_r3|metro2/dc1/dc/dc|0", + "metro5/pop2/G1/G1_r3|metro5/dc1/dc/dc|0", "metro1/pop2/G2/G2_r2|metro1/dc1/dc/dc|0", - "metro5/pop2/G1/G1_r3|metro5/dc1/dc/dc|0" + "metro2/pop1/G4/G4_r3|metro2/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -61070,8 +61070,8 @@ "excluded_nodes": [], "excluded_links": [ "metro2/pop2/G2/G2_r2|metro2/dc1/dc/dc|0", - "metro1/pop2/G1/G1_r2|metro1/dc1/dc/dc|0", - "metro1/pop2/G4/G4_r1|metro1/dc1/dc/dc|0" + "metro1/pop2/G4/G4_r1|metro1/dc1/dc/dc|0", + "metro1/pop2/G1/G1_r2|metro1/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -61177,9 +61177,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro1/pop2/G1/G1_r1|metro1/dc1/dc/dc|0", "metro5/pop1/G4/G4_r1|metro5/dc1/dc/dc|0", - "metro2/pop2/G2/G2_r2|metro2/dc1/dc/dc|0" + "metro2/pop2/G2/G2_r2|metro2/dc1/dc/dc|0", + "metro1/pop2/G1/G1_r1|metro1/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -61288,10 +61288,10 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro1/pop1/G6/G6_r1|metro1/pop1/G6/G6_r3|0", - "metro2/pop1/G4/G4_r1|metro2/pop1/G4/G4_r2|0", + "metro2/pop1/G6/G6_r1|metro2/pop1/G6/G6_r2|0", "metro1/pop2/G2/G2_r1|metro1/pop2/G2/G2_r2|0", - "metro2/pop1/G6/G6_r1|metro2/pop1/G6/G6_r2|0" + "metro1/pop1/G6/G6_r1|metro1/pop1/G6/G6_r3|0", + "metro2/pop1/G4/G4_r1|metro2/pop1/G4/G4_r2|0" ] }, "failure_trace": null, @@ -61390,9 +61390,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro1/pop1/G4/G4_r3|metro1/dc1/dc/dc|0", + "metro2/pop1/G5/G5_r2|metro2/dc1/dc/dc|0", "metro1/pop2/G3/G3_r2|metro1/dc1/dc/dc|0", - "metro2/pop1/G5/G5_r2|metro2/dc1/dc/dc|0" + "metro1/pop1/G4/G4_r3|metro1/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -61501,9 +61501,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro2/pop2/G2/G2_r3|metro2/dc1/dc/dc|0", "metro5/pop1/G2/G2_r2|metro5/dc1/dc/dc|0", - "metro1/pop2/G5/G5_r1|metro1/dc1/dc/dc|0" + "metro1/pop2/G5/G5_r1|metro1/dc1/dc/dc|0", + "metro2/pop2/G2/G2_r3|metro2/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -61612,9 +61612,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ + "metro5/pop1/G2/G2_r3|metro5/dc1/dc/dc|0", "metro1/pop1/G5/G5_r2|metro1/dc1/dc/dc|0", - "metro2/pop2/G5/G5_r3|metro2/dc1/dc/dc|0", - "metro5/pop1/G2/G2_r3|metro5/dc1/dc/dc|0" + "metro2/pop2/G5/G5_r3|metro2/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -61724,8 +61724,8 @@ "excluded_nodes": [], "excluded_links": [ "metro2/pop2/G3/G3_r1|metro2/dc1/dc/dc|0", - "metro5/pop2/G1/G1_r2|metro5/dc1/dc/dc|0", - "metro1/pop1/G5/G5_r1|metro1/dc1/dc/dc|0" + "metro1/pop1/G5/G5_r1|metro1/dc1/dc/dc|0", + "metro5/pop2/G1/G1_r2|metro5/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -61834,8 +61834,8 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro2/pop2/G2/G2_r2|metro2/dc1/dc/dc|0", "metro5/pop1/G2/G2_r2|metro5/dc1/dc/dc|0", + "metro2/pop2/G2/G2_r2|metro2/dc1/dc/dc|0", "metro5/pop1/G7/G7_r3|metro5/dc1/dc/dc|0" ] }, @@ -61943,9 +61943,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro1/pop1/G4/G4_r3|metro1/dc1/dc/dc|0", + "metro2/pop2/G5/G5_r3|metro2/dc1/dc/dc|0", "metro1/pop2/G6/G6_r1|metro1/dc1/dc/dc|0", - "metro2/pop2/G5/G5_r3|metro2/dc1/dc/dc|0" + "metro1/pop1/G4/G4_r3|metro1/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -62054,8 +62054,8 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro5/pop1/G3/G3_r1|metro5/dc1/dc/dc|0", "metro2/pop2/G7/G7_r3|metro2/dc1/dc/dc|0", + "metro5/pop1/G3/G3_r1|metro5/dc1/dc/dc|0", "metro2/pop1/G5/G5_r3|metro2/dc1/dc/dc|0" ] }, @@ -62165,9 +62165,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro2/pop1/G4/G4_r1|metro2/dc1/dc/dc|0", + "metro5/pop2/G5/G5_r2|metro5/dc1/dc/dc|0", "metro1/pop2/G4/G4_r3|metro1/dc1/dc/dc|0", - "metro5/pop2/G5/G5_r2|metro5/dc1/dc/dc|0" + "metro2/pop1/G4/G4_r1|metro2/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -62278,9 +62278,9 @@ "excluded_nodes": [], "excluded_links": [ "metro2/pop1/G2/G2_r1|metro2/pop1/G2/G2_r2|0", - "metro5/pop2/G3/G3_r3|metro5/pop2/G6/G6_r1|0", "metro2/pop2/G5/G5_r1|metro2/pop2/G5/G5_r2|0", - "metro1/pop1/G2/G2_r1|metro1/pop1/G2/G2_r3|0" + "metro1/pop1/G2/G2_r1|metro1/pop1/G2/G2_r3|0", + "metro5/pop2/G3/G3_r3|metro5/pop2/G6/G6_r1|0" ] }, "failure_trace": null, @@ -62379,10 +62379,10 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro5/pop1/G5/G5_r1|metro5/pop1/G6/G6_r3|0", - "metro5/pop1/G2/G2_r1|metro5/pop1/G3/G3_r3|0", "metro5/pop2/G2/G2_r1|metro5/pop2/G6/G6_r3|0", - "metro2/pop2/G4/G4_r1|metro2/pop2/G4/G4_r3|0" + "metro2/pop2/G4/G4_r1|metro2/pop2/G4/G4_r3|0", + "metro5/pop1/G2/G2_r1|metro5/pop1/G3/G3_r3|0", + "metro5/pop1/G5/G5_r1|metro5/pop1/G6/G6_r3|0" ] }, "failure_trace": null, @@ -62481,9 +62481,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ + "metro5/pop2/G2/G2_r1|metro5/dc1/dc/dc|0", "metro2/pop1/G4/G4_r2|metro2/dc1/dc/dc|0", - "metro2/pop2/G7/G7_r1|metro2/dc1/dc/dc|0", - "metro5/pop2/G2/G2_r1|metro5/dc1/dc/dc|0" + "metro2/pop2/G7/G7_r1|metro2/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -62703,9 +62703,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro1/pop2/G2/G2_r1|metro1/dc1/dc/dc|0", + "metro2/pop1/G2/G2_r2|metro2/dc1/dc/dc|0", "metro1/pop1/G3/G3_r3|metro1/dc1/dc/dc|0", - "metro2/pop1/G2/G2_r2|metro2/dc1/dc/dc|0" + "metro1/pop2/G2/G2_r1|metro1/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -62925,9 +62925,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro5/pop2/G1/G1_r2|metro5/dc1/dc/dc|0", "metro5/pop1/G3/G3_r1|metro5/dc1/dc/dc|0", - "metro2/pop2/G6/G6_r3|metro2/dc1/dc/dc|0" + "metro2/pop2/G6/G6_r3|metro2/dc1/dc/dc|0", + "metro5/pop2/G1/G1_r2|metro5/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -63036,10 +63036,10 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro2/pop1/G2/G2_r1|metro2/pop1/G2/G2_r2|0", "metro1/pop1/G5/G5_r1|metro1/pop1/G5/G5_r2|0", - "metro2/pop2/G2/G2_r2|metro2/pop2/G7/G7_r2|0", - "metro1/pop2/G3/G3_r3|metro1/pop2/G6/G6_r1|0" + "metro2/pop1/G2/G2_r1|metro2/pop1/G2/G2_r2|0", + "metro1/pop2/G3/G3_r3|metro1/pop2/G6/G6_r1|0", + "metro2/pop2/G2/G2_r2|metro2/pop2/G7/G7_r2|0" ] }, "failure_trace": null, @@ -63241,8 +63241,8 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro2/pop1/G3/G3_r1|metro2/dc1/dc/dc|0", "metro2/pop2/G3/G3_r1|metro2/dc1/dc/dc|0", + "metro2/pop1/G3/G3_r1|metro2/dc1/dc/dc|0", "metro2/pop1/G2/G2_r3|metro2/dc1/dc/dc|0" ] }, @@ -63350,9 +63350,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro5/pop1/G1/G1_r2|metro5/dc1/dc/dc|0", "metro5/pop1/G2/G2_r2|metro5/dc1/dc/dc|0", - "metro5/pop1/G1/G1_r1|metro5/dc1/dc/dc|0" + "metro5/pop1/G1/G1_r1|metro5/dc1/dc/dc|0", + "metro5/pop1/G1/G1_r2|metro5/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -63457,7 +63457,7 @@ "include_used_edges": false, "base_demands": [ { - "id": "^metro1/dc1/.*|^metro2/dc1/.*|Ph2M0c_dR-C_kiBlJD6g9w", + "id": "^metro1/dc1/.*|^metro2/dc1/.*|qQLKVuLYQliLee2X6uH4hw", "source": "^metro1/dc1/.*", "target": "^metro2/dc1/.*", "volume": 15000.0, @@ -63471,7 +63471,7 @@ } }, { - "id": "^metro2/dc1/.*|^metro1/dc1/.*|9hkkRbDlQ1yPcx-9F-If5Q", + "id": "^metro2/dc1/.*|^metro1/dc1/.*|fGLTl_ChRr2eKjdKC5vV8w", "source": "^metro2/dc1/.*", "target": "^metro1/dc1/.*", "volume": 15000.0, @@ -63485,7 +63485,7 @@ } }, { - "id": "^metro2/dc1/.*|^metro5/dc1/.*|OJI1gzHIRYmS2LBol0awbA", + "id": "^metro2/dc1/.*|^metro5/dc1/.*|hwScv00KRVS0ID-r9eUScw", "source": "^metro2/dc1/.*", "target": "^metro5/dc1/.*", "volume": 15000.0, @@ -63499,7 +63499,7 @@ } }, { - "id": "^metro5/dc1/.*|^metro2/dc1/.*|kzQZcuEYRvej39p0kINzZA", + "id": "^metro5/dc1/.*|^metro2/dc1/.*|YvPve6ZhT2uxNtjPKODwVg", "source": "^metro5/dc1/.*", "target": "^metro2/dc1/.*", "volume": 15000.0, @@ -63513,7 +63513,7 @@ } }, { - "id": "^metro1/dc1/.*|^metro5/dc1/.*|Uj6j2XnARCqV8_FwUpcXAw", + "id": "^metro1/dc1/.*|^metro5/dc1/.*|MzMZ66XSRrqwwoSmdE4jew", "source": "^metro1/dc1/.*", "target": "^metro5/dc1/.*", "volume": 15000.0, @@ -63527,7 +63527,7 @@ } }, { - "id": "^metro5/dc1/.*|^metro1/dc1/.*|dCGZy0F1SQG2VikKS8W9Jw", + "id": "^metro5/dc1/.*|^metro1/dc1/.*|KnMuqAPUSsSyymiSU1309g", "source": "^metro5/dc1/.*", "target": "^metro1/dc1/.*", "volume": 15000.0, @@ -63548,7 +63548,7 @@ }, "cost_power": { "metadata": { - "duration_sec": 0.0025229454040527344 + "duration_sec": 0.0026450157165527344 }, "data": { "context": { @@ -63825,7 +63825,7 @@ "demands": { "baseline_traffic_matrix": [ { - "id": "^metro1/dc1/.*|^metro2/dc1/.*|Ph2M0c_dR-C_kiBlJD6g9w", + "id": "^metro1/dc1/.*|^metro2/dc1/.*|qQLKVuLYQliLee2X6uH4hw", "source": "^metro1/dc1/.*", "target": "^metro2/dc1/.*", "volume": 15000.0, @@ -63839,7 +63839,7 @@ } }, { - "id": "^metro2/dc1/.*|^metro1/dc1/.*|9hkkRbDlQ1yPcx-9F-If5Q", + "id": "^metro2/dc1/.*|^metro1/dc1/.*|fGLTl_ChRr2eKjdKC5vV8w", "source": "^metro2/dc1/.*", "target": "^metro1/dc1/.*", "volume": 15000.0, @@ -63853,7 +63853,7 @@ } }, { - "id": "^metro2/dc1/.*|^metro5/dc1/.*|OJI1gzHIRYmS2LBol0awbA", + "id": "^metro2/dc1/.*|^metro5/dc1/.*|hwScv00KRVS0ID-r9eUScw", "source": "^metro2/dc1/.*", "target": "^metro5/dc1/.*", "volume": 15000.0, @@ -63867,7 +63867,7 @@ } }, { - "id": "^metro5/dc1/.*|^metro2/dc1/.*|kzQZcuEYRvej39p0kINzZA", + "id": "^metro5/dc1/.*|^metro2/dc1/.*|YvPve6ZhT2uxNtjPKODwVg", "source": "^metro5/dc1/.*", "target": "^metro2/dc1/.*", "volume": 15000.0, @@ -63881,7 +63881,7 @@ } }, { - "id": "^metro1/dc1/.*|^metro5/dc1/.*|Uj6j2XnARCqV8_FwUpcXAw", + "id": "^metro1/dc1/.*|^metro5/dc1/.*|MzMZ66XSRrqwwoSmdE4jew", "source": "^metro1/dc1/.*", "target": "^metro5/dc1/.*", "volume": 15000.0, @@ -63895,7 +63895,7 @@ } }, { - "id": "^metro5/dc1/.*|^metro1/dc1/.*|dCGZy0F1SQG2VikKS8W9Jw", + "id": "^metro5/dc1/.*|^metro1/dc1/.*|KnMuqAPUSsSyymiSU1309g", "source": "^metro5/dc1/.*", "target": "^metro1/dc1/.*", "volume": 15000.0, @@ -63911,4 +63911,4 @@ ] } } -} \ No newline at end of file +} diff --git a/tests/data/scenarios/small_dragonfly/small_dragonfly__seed12/small_dragonfly__seed12_scenario.yml b/tests/data/scenarios/small_dragonfly/small_dragonfly__seed12/small_dragonfly__seed12_scenario.yml index 6a9a869..59420db 100644 --- a/tests/data/scenarios/small_dragonfly/small_dragonfly__seed12/small_dragonfly__seed12_scenario.yml +++ b/tests/data/scenarios/small_dragonfly/small_dragonfly__seed12/small_dragonfly__seed12_scenario.yml @@ -378,6 +378,7 @@ network: - attr: role op: == value: leaf + logic: or target: path: metro1/pop2 match: *id001 @@ -456,9 +457,11 @@ network: source_metro: new-york-jersey-city-newark target_metro: washington-arlington target_capacity: 12800.0 - site_edge: metro1/pop1|metro2/pop1|inter_metro:1-2:1-1 - adjacency_id: inter_metro:1-2 + site_edge: metro1/pop1|metro2/pop1|inter_metro:1-2:path0:1-1 + adjacency_id: inter_metro:1-2:path0 distance_km: 412 + euclidean_km: 329.80891925266354 + detour_ratio: 1.2484239409074376 hardware: source: component: 800G-ZR+ @@ -466,7 +469,7 @@ network: target: component: 800G-ZR+ count: 1.0 - risk_groups: &id005 + risk_groups: - corridor_risk_columbus_new-york-jersey-city-newark - corridor_risk_new-york-jersey-city-newark_washington-arlington - source: @@ -491,9 +494,11 @@ network: source_metro: new-york-jersey-city-newark target_metro: columbus target_capacity: 12800.0 - site_edge: metro1/pop1|metro5/pop1|inter_metro:1-5:1-1 - adjacency_id: inter_metro:1-5 + site_edge: metro1/pop1|metro5/pop1|inter_metro:1-5:path0:1-1 + adjacency_id: inter_metro:1-5:path0 distance_km: 977 + euclidean_km: 747.1357017294783 + detour_ratio: 1.3070646931065415 hardware: source: component: 800G-ZR+ @@ -501,7 +506,7 @@ network: target: component: 800G-ZR+ count: 1.0 - risk_groups: &id006 + risk_groups: - corridor_risk_chicago_washington-arlington - corridor_risk_columbus_new-york-jersey-city-newark - corridor_risk_columbus_washington-arlington @@ -530,7 +535,6 @@ network: target: component: 800G-ZR+ count: 2.0 - # Inter-metro corridors - source: path: metro1/pop2 match: *id003 @@ -545,9 +549,11 @@ network: source_metro: new-york-jersey-city-newark target_metro: washington-arlington target_capacity: 12800.0 - site_edge: metro1/pop2|metro2/pop2|inter_metro:1-2:2-2 - adjacency_id: inter_metro:1-2 + site_edge: metro1/pop2|metro2/pop2|inter_metro:1-2:path0:2-2 + adjacency_id: inter_metro:1-2:path0 distance_km: 412 + euclidean_km: 329.80891925266354 + detour_ratio: 1.2484239409074376 hardware: source: component: 800G-ZR+ @@ -555,7 +561,9 @@ network: target: component: 800G-ZR+ count: 1.0 - risk_groups: *id005 + risk_groups: + - corridor_risk_columbus_new-york-jersey-city-newark + - corridor_risk_new-york-jersey-city-newark_washington-arlington - source: path: metro1/pop2 match: *id004 @@ -570,9 +578,11 @@ network: source_metro: new-york-jersey-city-newark target_metro: columbus target_capacity: 12800.0 - site_edge: metro1/pop2|metro5/pop2|inter_metro:1-5:2-2 - adjacency_id: inter_metro:1-5 + site_edge: metro1/pop2|metro5/pop2|inter_metro:1-5:path0:2-2 + adjacency_id: inter_metro:1-5:path0 distance_km: 977 + euclidean_km: 747.1357017294783 + detour_ratio: 1.3070646931065415 hardware: source: component: 800G-ZR+ @@ -580,10 +590,14 @@ network: target: component: 800G-ZR+ count: 1.0 - risk_groups: *id006 + risk_groups: + - corridor_risk_chicago_washington-arlington + - corridor_risk_columbus_new-york-jersey-city-newark + - corridor_risk_columbus_washington-arlington + - corridor_risk_new-york-jersey-city-newark_washington-arlington - source: path: metro2/pop1 - match: &id007 + match: &id005 conditions: - attr: role op: == @@ -591,9 +605,10 @@ network: - attr: role op: == value: leaf + logic: or target: path: metro2/pop2 - match: *id007 + match: *id005 pattern: one_to_one capacity: 1219.047619047619 cost: 103 @@ -614,7 +629,7 @@ network: count: 2.0 - source: path: metro2/pop1 - match: &id008 + match: &id006 conditions: - attr: role op: == @@ -628,7 +643,7 @@ network: logic: or target: path: metro2/dc1 - match: *id008 + match: *id006 pattern: one_to_one capacity: 1828.5714285714287 cost: 1 @@ -649,7 +664,7 @@ network: count: 3.0 - source: path: metro2/pop1 - match: &id009 + match: &id007 conditions: - attr: role op: == @@ -660,7 +675,7 @@ network: logic: or target: path: metro3/pop1 - match: *id009 + match: *id007 pattern: one_to_one capacity: 152.38095238095238 cost: 1261 @@ -669,9 +684,11 @@ network: source_metro: washington-arlington target_metro: chicago target_capacity: 3200.0 - site_edge: metro2/pop1|metro3/pop1|inter_metro:2-3:1-1 - adjacency_id: inter_metro:2-3 + site_edge: metro2/pop1|metro3/pop1|inter_metro:2-3:path0:1-1 + adjacency_id: inter_metro:2-3:path0 distance_km: 1261 + euclidean_km: 962.0849480451766 + detour_ratio: 1.3098725226374546 hardware: source: component: 800G-ZR+ @@ -679,13 +696,13 @@ network: target: component: 800G-ZR+ count: 1.0 - risk_groups: &id012 + risk_groups: - corridor_risk_chicago_washington-arlington - corridor_risk_columbus_new-york-jersey-city-newark - corridor_risk_columbus_washington-arlington - source: path: metro2/pop1 - match: &id010 + match: &id008 conditions: - attr: role op: == @@ -696,7 +713,7 @@ network: logic: or target: path: metro4/pop1 - match: *id010 + match: *id008 pattern: one_to_one capacity: 152.38095238095238 cost: 1216 @@ -705,9 +722,11 @@ network: source_metro: washington-arlington target_metro: atlanta target_capacity: 3200.0 - site_edge: metro2/pop1|metro4/pop1|inter_metro:2-4:1-1 - adjacency_id: inter_metro:2-4 + site_edge: metro2/pop1|metro4/pop1|inter_metro:2-4:path0:1-1 + adjacency_id: inter_metro:2-4:path0 distance_km: 1216 + euclidean_km: 861.267572704122 + detour_ratio: 1.4113975069243747 hardware: source: component: 800G-ZR+ @@ -715,11 +734,11 @@ network: target: component: 800G-ZR+ count: 1.0 - risk_groups: &id013 + risk_groups: - corridor_risk_atlanta_washington-arlington - source: path: metro2/pop1 - match: &id011 + match: &id009 conditions: - attr: role op: == @@ -730,7 +749,7 @@ network: logic: or target: path: metro5/pop1 - match: *id011 + match: *id009 pattern: one_to_one capacity: 609.5238095238095 cost: 733 @@ -739,9 +758,11 @@ network: source_metro: washington-arlington target_metro: columbus target_capacity: 12800.0 - site_edge: metro2/pop1|metro5/pop1|inter_metro:2-5:1-1 - adjacency_id: inter_metro:2-5 + site_edge: metro2/pop1|metro5/pop1|inter_metro:2-5:path0:1-1 + adjacency_id: inter_metro:2-5:path0 distance_km: 733 + euclidean_km: 507.67314955219973 + detour_ratio: 1.44331128980949 hardware: source: component: 800G-ZR+ @@ -749,16 +770,16 @@ network: target: component: 800G-ZR+ count: 1.0 - risk_groups: &id014 + risk_groups: - corridor_risk_chicago_washington-arlington - corridor_risk_columbus_new-york-jersey-city-newark - corridor_risk_columbus_washington-arlington - source: path: metro2/pop2 - match: *id008 + match: *id006 target: path: metro2/dc1 - match: *id008 + match: *id006 pattern: one_to_one capacity: 1828.5714285714287 cost: 103 @@ -779,10 +800,10 @@ network: count: 3.0 - source: path: metro2/pop2 - match: *id009 + match: *id007 target: path: metro3/pop2 - match: *id009 + match: *id007 pattern: one_to_one capacity: 152.38095238095238 cost: 1261 @@ -791,9 +812,11 @@ network: source_metro: washington-arlington target_metro: chicago target_capacity: 3200.0 - site_edge: metro2/pop2|metro3/pop2|inter_metro:2-3:2-2 - adjacency_id: inter_metro:2-3 + site_edge: metro2/pop2|metro3/pop2|inter_metro:2-3:path0:2-2 + adjacency_id: inter_metro:2-3:path0 distance_km: 1261 + euclidean_km: 962.0849480451766 + detour_ratio: 1.3098725226374546 hardware: source: component: 800G-ZR+ @@ -801,13 +824,16 @@ network: target: component: 800G-ZR+ count: 1.0 - risk_groups: *id012 + risk_groups: + - corridor_risk_chicago_washington-arlington + - corridor_risk_columbus_new-york-jersey-city-newark + - corridor_risk_columbus_washington-arlington - source: path: metro2/pop2 - match: *id010 + match: *id008 target: path: metro4/pop2 - match: *id010 + match: *id008 pattern: one_to_one capacity: 152.38095238095238 cost: 1216 @@ -816,9 +842,11 @@ network: source_metro: washington-arlington target_metro: atlanta target_capacity: 3200.0 - site_edge: metro2/pop2|metro4/pop2|inter_metro:2-4:2-2 - adjacency_id: inter_metro:2-4 + site_edge: metro2/pop2|metro4/pop2|inter_metro:2-4:path0:2-2 + adjacency_id: inter_metro:2-4:path0 distance_km: 1216 + euclidean_km: 861.267572704122 + detour_ratio: 1.4113975069243747 hardware: source: component: 800G-ZR+ @@ -826,13 +854,14 @@ network: target: component: 800G-ZR+ count: 1.0 - risk_groups: *id013 + risk_groups: + - corridor_risk_atlanta_washington-arlington - source: path: metro2/pop2 - match: *id011 + match: *id009 target: path: metro5/pop2 - match: *id011 + match: *id009 pattern: one_to_one capacity: 609.5238095238095 cost: 733 @@ -841,9 +870,11 @@ network: source_metro: washington-arlington target_metro: columbus target_capacity: 12800.0 - site_edge: metro2/pop2|metro5/pop2|inter_metro:2-5:2-2 - adjacency_id: inter_metro:2-5 + site_edge: metro2/pop2|metro5/pop2|inter_metro:2-5:path0:2-2 + adjacency_id: inter_metro:2-5:path0 distance_km: 733 + euclidean_km: 507.67314955219973 + detour_ratio: 1.44331128980949 hardware: source: component: 800G-ZR+ @@ -851,10 +882,13 @@ network: target: component: 800G-ZR+ count: 1.0 - risk_groups: *id014 + risk_groups: + - corridor_risk_chicago_washington-arlington + - corridor_risk_columbus_new-york-jersey-city-newark + - corridor_risk_columbus_washington-arlington - source: path: metro3/pop1 - match: &id015 + match: &id010 conditions: - attr: role op: == @@ -862,9 +896,10 @@ network: - attr: role op: == value: leaf + logic: or target: path: metro3/pop2 - match: *id015 + match: *id010 pattern: one_to_one capacity: 12800.0 cost: 138 @@ -885,7 +920,7 @@ network: count: 16.0 - source: path: metro3/pop1 - match: &id016 + match: &id011 conditions: - attr: role op: == @@ -896,7 +931,7 @@ network: logic: or target: path: metro5/pop1 - match: *id016 + match: *id011 pattern: one_to_one capacity: 152.38095238095238 cost: 658 @@ -905,9 +940,11 @@ network: source_metro: chicago target_metro: columbus target_capacity: 3200.0 - site_edge: metro3/pop1|metro5/pop1|inter_metro:3-5:1-1 - adjacency_id: inter_metro:3-5 + site_edge: metro3/pop1|metro5/pop1|inter_metro:3-5:path0:1-1 + adjacency_id: inter_metro:3-5:path0 distance_km: 658 + euclidean_km: 463.6395625132306 + detour_ratio: 1.418606990859309 hardware: source: component: 800G-ZR+ @@ -915,12 +952,12 @@ network: target: component: 800G-ZR+ count: 1.0 - risk_groups: &id018 + risk_groups: - corridor_risk_atlanta_chicago - corridor_risk_chicago_columbus - source: path: metro3/pop1 - match: &id017 + match: &id012 conditions: - attr: role op: == @@ -931,7 +968,7 @@ network: logic: or target: path: metro4/pop1 - match: *id017 + match: *id012 pattern: one_to_one capacity: 3200.0 cost: 1302 @@ -940,9 +977,11 @@ network: source_metro: chicago target_metro: atlanta target_capacity: 3200.0 - site_edge: metro3/pop1|metro4/pop1|inter_metro:3-4:1-1 - adjacency_id: inter_metro:3-4 + site_edge: metro3/pop1|metro4/pop1|inter_metro:3-4:path0:1-1 + adjacency_id: inter_metro:3-4:path0 distance_km: 1302 + euclidean_km: 962.0999146161588 + detour_ratio: 1.3528437249287772 hardware: source: component: 800G-ZR+ @@ -950,16 +989,16 @@ network: target: component: 800G-ZR+ count: 4.0 - risk_groups: &id019 + risk_groups: - corridor_risk_atlanta_chicago - corridor_risk_atlanta_columbus - corridor_risk_chicago_columbus - source: path: metro3/pop2 - match: *id016 + match: *id011 target: path: metro5/pop2 - match: *id016 + match: *id011 pattern: one_to_one capacity: 152.38095238095238 cost: 658 @@ -968,9 +1007,11 @@ network: source_metro: chicago target_metro: columbus target_capacity: 3200.0 - site_edge: metro3/pop2|metro5/pop2|inter_metro:3-5:2-2 - adjacency_id: inter_metro:3-5 + site_edge: metro3/pop2|metro5/pop2|inter_metro:3-5:path0:2-2 + adjacency_id: inter_metro:3-5:path0 distance_km: 658 + euclidean_km: 463.6395625132306 + detour_ratio: 1.418606990859309 hardware: source: component: 800G-ZR+ @@ -978,13 +1019,15 @@ network: target: component: 800G-ZR+ count: 1.0 - risk_groups: *id018 + risk_groups: + - corridor_risk_atlanta_chicago + - corridor_risk_chicago_columbus - source: path: metro3/pop2 - match: *id017 + match: *id012 target: path: metro4/pop2 - match: *id017 + match: *id012 pattern: one_to_one capacity: 3200.0 cost: 1302 @@ -993,9 +1036,11 @@ network: source_metro: chicago target_metro: atlanta target_capacity: 3200.0 - site_edge: metro3/pop2|metro4/pop2|inter_metro:3-4:2-2 - adjacency_id: inter_metro:3-4 + site_edge: metro3/pop2|metro4/pop2|inter_metro:3-4:path0:2-2 + adjacency_id: inter_metro:3-4:path0 distance_km: 1302 + euclidean_km: 962.0999146161588 + detour_ratio: 1.3528437249287772 hardware: source: component: 800G-ZR+ @@ -1003,10 +1048,13 @@ network: target: component: 800G-ZR+ count: 4.0 - risk_groups: *id019 + risk_groups: + - corridor_risk_atlanta_chicago + - corridor_risk_atlanta_columbus + - corridor_risk_chicago_columbus - source: path: metro4/pop1 - match: &id020 + match: &id013 conditions: - attr: role op: == @@ -1014,9 +1062,10 @@ network: - attr: role op: == value: leaf + logic: or target: path: metro4/pop2 - match: *id020 + match: *id013 pattern: one_to_one capacity: 12800.0 cost: 142 @@ -1037,7 +1086,7 @@ network: count: 16.0 - source: path: metro4/pop1 - match: &id021 + match: &id014 conditions: - attr: role op: == @@ -1048,7 +1097,7 @@ network: logic: or target: path: metro5/pop1 - match: *id021 + match: *id014 pattern: one_to_one capacity: 152.38095238095238 cost: 1028 @@ -1057,9 +1106,11 @@ network: source_metro: atlanta target_metro: columbus target_capacity: 3200.0 - site_edge: metro4/pop1|metro5/pop1|inter_metro:4-5:1-1 - adjacency_id: inter_metro:4-5 + site_edge: metro4/pop1|metro5/pop1|inter_metro:4-5:path0:1-1 + adjacency_id: inter_metro:4-5:path0 distance_km: 1028 + euclidean_km: 713.256465952325 + detour_ratio: 1.439960594262943 hardware: source: component: 800G-ZR+ @@ -1067,15 +1118,15 @@ network: target: component: 800G-ZR+ count: 1.0 - risk_groups: &id022 + risk_groups: - corridor_risk_atlanta_chicago - corridor_risk_atlanta_columbus - source: path: metro4/pop2 - match: *id021 + match: *id014 target: path: metro5/pop2 - match: *id021 + match: *id014 pattern: one_to_one capacity: 152.38095238095238 cost: 1028 @@ -1084,9 +1135,11 @@ network: source_metro: atlanta target_metro: columbus target_capacity: 3200.0 - site_edge: metro4/pop2|metro5/pop2|inter_metro:4-5:2-2 - adjacency_id: inter_metro:4-5 + site_edge: metro4/pop2|metro5/pop2|inter_metro:4-5:path0:2-2 + adjacency_id: inter_metro:4-5:path0 distance_km: 1028 + euclidean_km: 713.256465952325 + detour_ratio: 1.439960594262943 hardware: source: component: 800G-ZR+ @@ -1094,10 +1147,12 @@ network: target: component: 800G-ZR+ count: 1.0 - risk_groups: *id022 + risk_groups: + - corridor_risk_atlanta_chicago + - corridor_risk_atlanta_columbus - source: path: metro5/pop1 - match: &id023 + match: &id015 conditions: - attr: role op: == @@ -1105,9 +1160,10 @@ network: - attr: role op: == value: leaf + logic: or target: path: metro5/pop2 - match: *id023 + match: *id015 pattern: one_to_one capacity: 1219.047619047619 cost: 65 @@ -1128,7 +1184,7 @@ network: count: 2.0 - source: path: metro5/pop1 - match: &id024 + match: 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"1096800_1964550__1096950_1963800", - "1096800_1964550__1096800_1965000", - "1096800_1965000__1096800_1965150", - "1096650_1965300__1096800_1965150", - "1096650_1965300__1096650_1965600", - "1096500_1965750__1096650_1965600", - "1096500_1965750__1096500_1965900", - "1096350_1966200__1096500_1965900", - "1096350_1966200__1096350_1966650", - "1096200_1966800__1096350_1966650", - "1096200_1966800__1096200_1967550" - ], "risk_groups": [ "corridor_risk_atlanta_chicago", "corridor_risk_atlanta_columbus" - ] + ], + "key": 0 } - ] + ], + "graph_type": "corridors" } diff --git a/tests/data/scenarios/small_dragonfly_custom/small_dragonfly_custom__seed11/small_dragonfly_custom__seed11_scenario.results.json b/tests/data/scenarios/small_dragonfly_custom/small_dragonfly_custom__seed11/small_dragonfly_custom__seed11_scenario.results.json index 8bc12c4..0496d9e 100644 --- a/tests/data/scenarios/small_dragonfly_custom/small_dragonfly_custom__seed11/small_dragonfly_custom__seed11_scenario.results.json +++ b/tests/data/scenarios/small_dragonfly_custom/small_dragonfly_custom__seed11/small_dragonfly_custom__seed11_scenario.results.json @@ -36,7 +36,7 @@ "steps": { "network_statistics": { "metadata": { - "duration_sec": 0.0003731250762939453 + "duration_sec": 0.00030303001403808594 }, "data": { "node_count": 103, @@ -58,7 +58,7 @@ }, "msd_baseline": { "metadata": { - "duration_sec": 0.00403285026550293 + "duration_sec": 0.004059314727783203 }, "data": { "alpha_star": 1.40625, @@ -74,7 +74,7 @@ }, "base_demands": [ { - "id": "^metro1/dc1/.*|^metro5/dc1/.*|x0u0O8OVSY29noJ43TeuMg", + "id": "^metro1/dc1/.*|^metro5/dc1/.*|v3eJmJ6QST6lbQdxXVJ07Q", "source": "^metro1/dc1/.*", "target": "^metro5/dc1/.*", "volume": 15000.0, @@ -88,7 +88,7 @@ } }, { - "id": "^metro5/dc1/.*|^metro1/dc1/.*|OpZyzUu5Q8Ktg97wmCb5MA", + "id": "^metro5/dc1/.*|^metro1/dc1/.*|sTn6COElROSw_zL04atBBA", "source": "^metro5/dc1/.*", "target": "^metro1/dc1/.*", "volume": 15000.0, @@ -102,7 +102,7 @@ } }, { - "id": "^metro2/dc1/.*|^metro5/dc1/.*|mfbf3OutQdG6qQAfd0ctAQ", + "id": "^metro2/dc1/.*|^metro5/dc1/.*|pRrdW16XSQOzt_mk2FM49w", "source": "^metro2/dc1/.*", "target": "^metro5/dc1/.*", "volume": 15000.0, @@ -116,7 +116,7 @@ } }, { - "id": "^metro5/dc1/.*|^metro2/dc1/.*|eBEZ_viDShuRbFrW2riu0Q", + "id": "^metro5/dc1/.*|^metro2/dc1/.*|QXjsHZxyR9G0an54uUGNoQ", "source": "^metro5/dc1/.*", "target": "^metro2/dc1/.*", "volume": 15000.0, @@ -130,7 +130,7 @@ } }, { - "id": "^metro1/dc1/.*|^metro2/dc1/.*|CfqKPkAKSumNEqxnNdZ_2A", + "id": "^metro1/dc1/.*|^metro2/dc1/.*|4df_fncETQ6fF9O-EM3J0g", "source": "^metro1/dc1/.*", "target": "^metro2/dc1/.*", "volume": 15000.0, @@ -144,7 +144,7 @@ } }, { - "id": "^metro2/dc1/.*|^metro1/dc1/.*|OGvUaY0CTMqQ10-sMCDjHg", + "id": "^metro2/dc1/.*|^metro1/dc1/.*|a_1tOn4jRhikXbOzb4PIJw", "source": "^metro2/dc1/.*", "target": "^metro1/dc1/.*", "volume": 15000.0, @@ -203,7 +203,7 @@ "parallelism": 7, "analysis_function": "demand_placement_analysis", "policy_name": "mc_baseline", - "execution_time": 0.40587902069091797, + "execution_time": 0.5062661170959473, "unique_patterns": 558, "occurrence_counts": [ 39, @@ -765,7 +765,7 @@ 1, 1 ], - "duration_sec": 0.4361708164215088 + "duration_sec": 0.536585807800293 }, "data": { "baseline": { @@ -883,38 +883,38 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro2/pop1/leafC/leafC1|metro4/pop1/core/core|0", - "metro2/pop1/leafD/leafD4|metro4/pop1/core/core|0", - "metro2/pop1/leafA/leafA4|metro4/pop1/core/core|0", - "metro2/pop2/leafD/leafD2|metro4/pop2/core/core|0", + "metro2/pop1/leafC/leafC4|metro4/pop1/core/core|0", + "metro2/pop2/leafC/leafC4|metro4/pop2/core/core|0", "metro2/pop2/leafA/leafA4|metro4/pop2/core/core|0", - "metro2/pop1/leafB/leafB4|metro4/pop1/core/core|0", - "metro2/pop1/leafD/leafD3|metro4/pop1/core/core|0", - "metro2/pop2/leafC/leafC3|metro4/pop2/core/core|0", - "metro2/pop2/leafA/leafA2|metro4/pop2/core/core|0", - "metro2/pop1/leafA/leafA3|metro4/pop1/core/core|0", - "metro2/pop1/leafC/leafC2|metro4/pop1/core/core|0", + "metro2/pop1/leafD/leafD2|metro4/pop1/core/core|0", "metro2/pop2/leafC/leafC2|metro4/pop2/core/core|0", - "metro2/pop1/leafB/leafB3|metro4/pop1/core/core|0", - "metro2/pop2/leafC/leafC4|metro4/pop2/core/core|0", + "metro2/pop2/leafB/leafB3|metro4/pop2/core/core|0", + "metro2/pop1/leafC/leafC2|metro4/pop1/core/core|0", + "metro2/pop1/leafC/leafC1|metro4/pop1/core/core|0", + "metro2/pop1/leafD/leafD1|metro4/pop1/core/core|0", + "metro2/pop1/leafA/leafA3|metro4/pop1/core/core|0", + "metro2/pop2/leafD/leafD3|metro4/pop2/core/core|0", + "metro2/pop1/leafD/leafD3|metro4/pop1/core/core|0", + "metro2/pop2/leafD/leafD4|metro4/pop2/core/core|0", "metro2/pop1/leafA/leafA2|metro4/pop1/core/core|0", + "metro2/pop2/leafB/leafB4|metro4/pop2/core/core|0", + "metro2/pop2/leafC/leafC3|metro4/pop2/core/core|0", "metro2/pop1/leafB/leafB1|metro4/pop1/core/core|0", - "metro2/pop2/leafB/leafB2|metro4/pop2/core/core|0", - "metro2/pop2/leafD/leafD3|metro4/pop2/core/core|0", - "metro2/pop1/leafC/leafC4|metro4/pop1/core/core|0", - "metro2/pop1/leafD/leafD2|metro4/pop1/core/core|0", - "metro2/pop2/leafB/leafB3|metro4/pop2/core/core|0", + "metro2/pop1/leafC/leafC3|metro4/pop1/core/core|0", + "metro2/pop1/leafB/leafB3|metro4/pop1/core/core|0", + "metro2/pop2/leafA/leafA2|metro4/pop2/core/core|0", "metro2/pop2/leafB/leafB1|metro4/pop2/core/core|0", - "metro2/pop2/leafA/leafA3|metro4/pop2/core/core|0", + "metro2/pop2/leafC/leafC1|metro4/pop2/core/core|0", + "metro2/pop2/leafD/leafD2|metro4/pop2/core/core|0", "metro2/pop1/leafA/leafA1|metro4/pop1/core/core|0", + "metro2/pop2/leafB/leafB2|metro4/pop2/core/core|0", + "metro2/pop2/leafA/leafA3|metro4/pop2/core/core|0", "metro2/pop2/leafD/leafD1|metro4/pop2/core/core|0", - "metro2/pop2/leafB/leafB4|metro4/pop2/core/core|0", - "metro2/pop1/leafC/leafC3|metro4/pop1/core/core|0", - "metro2/pop2/leafC/leafC1|metro4/pop2/core/core|0", - "metro2/pop2/leafD/leafD4|metro4/pop2/core/core|0", - "metro2/pop1/leafB/leafB2|metro4/pop1/core/core|0", + "metro2/pop1/leafD/leafD4|metro4/pop1/core/core|0", "metro2/pop2/leafA/leafA1|metro4/pop2/core/core|0", - "metro2/pop1/leafD/leafD1|metro4/pop1/core/core|0" + "metro2/pop1/leafB/leafB4|metro4/pop1/core/core|0", + "metro2/pop1/leafB/leafB2|metro4/pop1/core/core|0", + "metro2/pop1/leafA/leafA4|metro4/pop1/core/core|0" ] }, "failure_trace": null, @@ -1023,72 +1023,72 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro4/pop2/core/core|metro5/pop2/leafC/leafC2|0", - "metro3/pop1/core/core|metro5/pop1/leafB/leafB1|0", - "metro3/pop2/core/core|metro4/pop2/core/core|0", - "metro4/pop1/core/core|metro5/pop1/leafC/leafC2|0", - "metro4/pop1/core/core|metro5/pop1/leafD/leafD2|0", - "metro4/pop1/core/core|metro5/pop1/leafD/leafD4|0", - "metro3/pop2/core/core|metro5/pop2/leafD/leafD3|0", - "metro3/pop2/core/core|metro5/pop2/leafD/leafD4|0", - "metro4/pop1/core/core|metro5/pop1/leafA/leafA1|0", - "metro4/pop1/core/core|metro5/pop1/leafC/leafC4|0", - "metro3/pop2/core/core|metro5/pop2/leafA/leafA4|0", - "metro3/pop1/core/core|metro5/pop1/leafD/leafD2|0", - "metro4/pop1/core/core|metro5/pop1/leafD/leafD1|0", - "metro3/pop2/core/core|metro5/pop2/leafB/leafB3|0", - "metro4/pop1/core/core|metro5/pop1/leafA/leafA3|0", - "metro4/pop1/core/core|metro5/pop1/leafB/leafB3|0", - "metro4/pop1/core/core|metro5/pop1/leafA/leafA2|0", - "metro4/pop1/core/core|metro5/pop1/leafB/leafB1|0", - "metro3/pop2/core/core|metro5/pop2/leafB/leafB1|0", - "metro4/pop1/core/core|metro5/pop1/leafA/leafA4|0", + "metro4/pop1/core/core|metro5/pop1/leafC/leafC3|0", + "metro3/pop1/core/core|metro5/pop1/leafC/leafC4|0", + "metro3/pop1/core/core|metro5/pop1/leafB/leafB2|0", "metro4/pop2/core/core|metro5/pop2/leafC/leafC4|0", - "metro3/pop2/core/core|metro5/pop2/leafC/leafC4|0", - "metro4/pop2/core/core|metro5/pop2/leafB/leafB1|0", - "metro4/pop2/core/core|metro5/pop2/leafD/leafD2|0", - "metro3/pop2/core/core|metro5/pop2/leafC/leafC1|0", - "metro4/pop2/core/core|metro5/pop2/leafA/leafA3|0", - "metro4/pop2/core/core|metro5/pop2/leafB/leafB4|0", - "metro3/pop1/core/core|metro5/pop1/leafA/leafA1|0", "metro4/pop2/core/core|metro5/pop2/leafD/leafD3|0", - "metro3/pop1/core/core|metro5/pop1/leafB/leafB3|0", - "metro4/pop2/core/core|metro5/pop2/leafC/leafC1|0", - "metro3/pop1/core/core|metro5/pop1/leafC/leafC1|0", + "metro3/pop2/core/core|metro5/pop2/leafB/leafB2|0", + "metro4/pop2/core/core|metro5/pop2/leafD/leafD2|0", + "metro3/pop1/core/core|metro5/pop1/leafA/leafA2|0", + "metro4/pop1/core/core|metro5/pop1/leafD/leafD3|0", + "metro4/pop2/core/core|metro5/pop2/leafD/leafD1|0", "metro3/pop1/core/core|metro5/pop1/leafA/leafA3|0", - "metro4/pop2/core/core|metro5/pop2/leafD/leafD4|0", - "metro3/pop1/core/core|metro5/pop1/leafA/leafA4|0", - 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"metro4/pop1/core/core|metro5/pop1/leafC/leafC4|0", + "metro3/pop2/core/core|metro5/pop2/leafC/leafC1|0", + "metro4/pop1/core/core|metro5/pop1/leafA/leafA1|0", + "metro4/pop1/core/core|metro5/pop1/leafA/leafA2|0", + "metro4/pop2/core/core|metro5/pop2/leafA/leafA1|0", + "metro3/pop2/core/core|metro5/pop2/leafA/leafA1|0", "metro3/pop1/core/core|metro5/pop1/leafD/leafD4|0", - "metro4/pop1/core/core|metro5/pop1/leafB/leafB2|0", - "metro4/pop2/core/core|metro5/pop2/leafB/leafB2|0", + "metro3/pop2/core/core|metro5/pop2/leafB/leafB4|0", "metro3/pop2/core/core|metro5/pop2/leafD/leafD1|0", - "metro4/pop2/core/core|metro5/pop2/leafC/leafC3|0", - "metro4/pop2/core/core|metro5/pop2/leafA/leafA1|0", - "metro4/pop2/core/core|metro5/pop2/leafD/leafD1|0", + "metro4/pop1/core/core|metro5/pop1/leafC/leafC1|0", "metro3/pop1/core/core|metro5/pop1/leafC/leafC3|0", + "metro4/pop2/core/core|metro5/pop2/leafB/leafB2|0", + "metro3/pop2/core/core|metro5/pop2/leafA/leafA2|0", + "metro3/pop2/core/core|metro4/pop2/core/core|0", + "metro4/pop1/core/core|metro5/pop1/leafB/leafB2|0", + "metro3/pop1/core/core|metro5/pop1/leafB/leafB1|0", + "metro3/pop1/core/core|metro5/pop1/leafC/leafC1|0", + "metro4/pop1/core/core|metro5/pop1/leafB/leafB1|0", + "metro4/pop1/core/core|metro5/pop1/leafA/leafA4|0", + "metro4/pop1/core/core|metro5/pop1/leafD/leafD4|0", + "metro4/pop2/core/core|metro5/pop2/leafC/leafC2|0", "metro3/pop2/core/core|metro5/pop2/leafC/leafC3|0", - "metro4/pop1/core/core|metro5/pop1/leafD/leafD3|0", - "metro4/pop1/core/core|metro5/pop1/leafC/leafC1|0", - "metro3/pop1/core/core|metro5/pop1/leafC/leafC2|0", - "metro4/pop1/core/core|metro5/pop1/leafC/leafC3|0", - "metro4/pop2/core/core|metro5/pop2/leafA/leafA4|0", - "metro3/pop1/core/core|metro5/pop1/leafD/leafD1|0", "metro4/pop2/core/core|metro5/pop2/leafA/leafA2|0", - "metro3/pop2/core/core|metro5/pop2/leafA/leafA3|0", - "metro3/pop1/core/core|metro5/pop1/leafB/leafB4|0", "metro3/pop1/core/core|metro5/pop1/leafD/leafD3|0", - "metro3/pop2/core/core|metro5/pop2/leafA/leafA1|0", - "metro3/pop2/core/core|metro5/pop2/leafB/leafB2|0", - "metro3/pop1/core/core|metro5/pop1/leafC/leafC4|0", - "metro3/pop2/core/core|metro5/pop2/leafA/leafA2|0", - "metro3/pop1/core/core|metro5/pop1/leafB/leafB2|0", - "metro3/pop1/core/core|metro5/pop1/leafA/leafA2|0" + "metro3/pop2/core/core|metro5/pop2/leafB/leafB3|0", + "metro4/pop2/core/core|metro5/pop2/leafA/leafA4|0", + "metro3/pop1/core/core|metro5/pop1/leafB/leafB4|0", + "metro3/pop2/core/core|metro5/pop2/leafD/leafD3|0", + "metro4/pop1/core/core|metro5/pop1/leafA/leafA3|0", + "metro3/pop2/core/core|metro5/pop2/leafA/leafA3|0", + "metro3/pop1/core/core|metro5/pop1/leafD/leafD1|0", + "metro3/pop2/core/core|metro5/pop2/leafD/leafD4|0", + "metro3/pop2/core/core|metro5/pop2/leafC/leafC2|0", + "metro4/pop1/core/core|metro5/pop1/leafD/leafD2|0", + "metro3/pop1/core/core|metro5/pop1/leafC/leafC2|0", + "metro3/pop1/core/core|metro5/pop1/leafB/leafB3|0", + "metro4/pop1/core/core|metro5/pop1/leafD/leafD1|0", + "metro4/pop2/core/core|metro5/pop2/leafB/leafB3|0", + "metro4/pop2/core/core|metro5/pop2/leafB/leafB4|0", + "metro3/pop2/core/core|metro5/pop2/leafC/leafC4|0", + "metro3/pop2/core/core|metro5/pop2/leafD/leafD2|0" ] }, "failure_trace": null, @@ -1303,8 +1303,8 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro5/pop2/leafA/leafA1|metro5/dc1/dc/dc|0", "metro2/pop2/leafA/leafA4|metro2/dc1/dc/dc|0", + "metro5/pop2/leafA/leafA1|metro5/dc1/dc/dc|0", "metro5/pop1/leafB/leafB1|metro5/dc1/dc/dc|0" ] }, @@ -1539,102 +1539,102 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro2/pop1/leafB/leafB3|metro5/pop1/leafB/leafB3|0", - "metro1/pop1/leafD/leafD3|metro5/pop1/leafD/leafD3|0", - "metro1/pop1/leafA/leafA2|metro5/pop1/leafA/leafA2|0", - "metro1/pop2/leafA/leafA4|metro5/pop2/leafA/leafA4|0", - "metro1/pop2/leafD/leafD3|metro5/pop2/leafD/leafD3|0", - "metro2/pop2/leafC/leafC3|metro5/pop2/leafC/leafC3|0", - "metro2/pop2/leafB/leafB3|metro3/pop2/core/core|0", - "metro2/pop2/leafD/leafD2|metro3/pop2/core/core|0", - "metro1/pop2/leafB/leafB3|metro5/pop2/leafB/leafB3|0", - "metro2/pop1/leafA/leafA2|metro5/pop1/leafA/leafA2|0", - "metro2/pop2/leafD/leafD3|metro5/pop2/leafD/leafD3|0", - "metro1/pop1/leafC/leafC1|metro5/pop1/leafC/leafC1|0", - "metro1/pop2/leafB/leafB1|metro5/pop2/leafB/leafB1|0", - "metro2/pop1/leafD/leafD4|metro5/pop1/leafD/leafD4|0", - "metro2/pop1/leafA/leafA2|metro3/pop1/core/core|0", - "metro2/pop2/leafC/leafC3|metro3/pop2/core/core|0", - "metro1/pop1/leafC/leafC4|metro5/pop1/leafC/leafC4|0", + "metro2/pop2/leafA/leafA2|metro3/pop2/core/core|0", + "metro2/pop2/leafD/leafD4|metro3/pop2/core/core|0", "metro2/pop1/leafD/leafD2|metro3/pop1/core/core|0", - "metro2/pop2/leafA/leafA2|metro5/pop2/leafA/leafA2|0", - "metro2/pop2/leafB/leafB2|metro3/pop2/core/core|0", - "metro2/pop1/leafC/leafC3|metro3/pop1/core/core|0", - "metro2/pop2/leafB/leafB4|metro3/pop2/core/core|0", - "metro1/pop2/leafA/leafA1|metro5/pop2/leafA/leafA1|0", - "metro2/pop2/leafC/leafC4|metro5/pop2/leafC/leafC4|0", - "metro2/pop2/leafA/leafA1|metro5/pop2/leafA/leafA1|0", - "metro1/pop2/leafC/leafC3|metro5/pop2/leafC/leafC3|0", - "metro2/pop2/leafC/leafC2|metro5/pop2/leafC/leafC2|0", - "metro2/pop2/leafD/leafD4|metro5/pop2/leafD/leafD4|0", - "metro1/pop2/leafD/leafD4|metro5/pop2/leafD/leafD4|0", - "metro1/pop1/leafB/leafB3|metro5/pop1/leafB/leafB3|0", - "metro1/pop1/leafB/leafB1|metro5/pop1/leafB/leafB1|0", "metro2/pop2/leafD/leafD2|metro5/pop2/leafD/leafD2|0", - "metro1/pop1/leafC/leafC3|metro5/pop1/leafC/leafC3|0", - "metro2/pop1/leafD/leafD3|metro5/pop1/leafD/leafD3|0", - "metro2/pop2/leafA/leafA4|metro3/pop2/core/core|0", - "metro1/pop1/leafA/leafA4|metro5/pop1/leafA/leafA4|0", - "metro2/pop1/leafB/leafB3|metro3/pop1/core/core|0", - "metro2/pop1/leafC/leafC2|metro5/pop1/leafC/leafC2|0", - "metro2/pop2/leafA/leafA1|metro3/pop2/core/core|0", "metro2/pop1/leafA/leafA3|metro5/pop1/leafA/leafA3|0", - "metro2/pop2/leafA/leafA2|metro3/pop2/core/core|0", - "metro2/pop2/leafC/leafC1|metro3/pop2/core/core|0", - "metro2/pop1/leafC/leafC4|metro3/pop1/core/core|0", + "metro2/pop1/leafD/leafD4|metro5/pop1/leafD/leafD4|0", + "metro2/pop2/leafA/leafA3|metro5/pop2/leafA/leafA3|0", "metro2/pop1/leafD/leafD3|metro3/pop1/core/core|0", - "metro2/pop1/leafA/leafA1|metro5/pop1/leafA/leafA1|0", - "metro1/pop2/leafB/leafB2|metro5/pop2/leafB/leafB2|0", "metro2/pop1/leafC/leafC1|metro5/pop1/leafC/leafC1|0", - "metro2/pop1/leafC/leafC3|metro5/pop1/leafC/leafC3|0", - "metro1/pop2/leafA/leafA2|metro5/pop2/leafA/leafA2|0", - "metro2/pop2/leafD/leafD4|metro3/pop2/core/core|0", - "metro2/pop1/leafC/leafC2|metro3/pop1/core/core|0", - "metro2/pop2/leafD/leafD1|metro5/pop2/leafD/leafD1|0", + "metro2/pop2/leafC/leafC4|metro5/pop2/leafC/leafC4|0", + "metro2/pop1/leafC/leafC4|metro3/pop1/core/core|0", + "metro2/pop2/leafB/leafB4|metro3/pop2/core/core|0", + "metro1/pop1/leafA/leafA1|metro5/pop1/leafA/leafA1|0", + "metro2/pop1/leafB/leafB1|metro5/pop1/leafB/leafB1|0", + "metro2/pop1/leafC/leafC4|metro5/pop1/leafC/leafC4|0", + "metro1/pop2/leafB/leafB3|metro5/pop2/leafB/leafB3|0", + "metro2/pop2/leafA/leafA1|metro5/pop2/leafA/leafA1|0", + "metro2/pop1/leafA/leafA1|metro3/pop1/core/core|0", + "metro1/pop2/leafB/leafB2|metro5/pop2/leafB/leafB2|0", + "metro2/pop2/leafA/leafA3|metro3/pop2/core/core|0", + "metro2/pop1/leafD/leafD4|metro3/pop1/core/core|0", + "metro2/pop2/leafC/leafC1|metro3/pop2/core/core|0", + "metro2/pop2/leafB/leafB1|metro5/pop2/leafB/leafB1|0", + "metro1/pop2/leafA/leafA4|metro5/pop2/leafA/leafA4|0", + "metro2/pop2/leafA/leafA4|metro3/pop2/core/core|0", + "metro1/pop1/leafD/leafD3|metro5/pop1/leafD/leafD3|0", + "metro1/pop1/leafA/leafA3|metro5/pop1/leafA/leafA3|0", + "metro2/pop1/leafB/leafB3|metro3/pop1/core/core|0", + "metro1/pop1/leafB/leafB4|metro5/pop1/leafB/leafB4|0", + "metro2/pop2/leafC/leafC3|metro3/pop2/core/core|0", + "metro2/pop1/leafD/leafD3|metro5/pop1/leafD/leafD3|0", "metro2/pop2/leafA/leafA4|metro5/pop2/leafA/leafA4|0", - "metro2/pop2/leafB/leafB3|metro5/pop2/leafB/leafB3|0", + "metro2/pop2/leafC/leafC2|metro5/pop2/leafC/leafC2|0", + "metro2/pop2/leafD/leafD3|metro5/pop2/leafD/leafD3|0", + "metro1/pop2/leafA/leafA3|metro5/pop2/leafA/leafA3|0", + "metro1/pop2/leafB/leafB4|metro5/pop2/leafB/leafB4|0", + "metro1/pop2/leafC/leafC3|metro5/pop2/leafC/leafC3|0", "metro2/pop2/leafB/leafB1|metro3/pop2/core/core|0", - "metro1/pop1/leafB/leafB2|metro5/pop1/leafB/leafB2|0", - "metro1/pop2/leafC/leafC2|metro5/pop2/leafC/leafC2|0", - "metro2/pop1/leafA/leafA4|metro3/pop1/core/core|0", - "metro1/pop1/leafC/leafC2|metro5/pop1/leafC/leafC2|0", - "metro2/pop2/leafA/leafA3|metro5/pop2/leafA/leafA3|0", + "metro2/pop1/leafB/leafB2|metro5/pop1/leafB/leafB2|0", + "metro1/pop1/leafC/leafC3|metro5/pop1/leafC/leafC3|0", + "metro2/pop1/leafC/leafC2|metro3/pop1/core/core|0", "metro2/pop2/leafC/leafC4|metro3/pop2/core/core|0", + "metro2/pop2/leafB/leafB2|metro5/pop2/leafB/leafB2|0", + "metro1/pop1/leafD/leafD2|metro5/pop1/leafD/leafD2|0", + "metro2/pop1/leafA/leafA4|metro3/pop1/core/core|0", + "metro2/pop2/leafB/leafB4|metro5/pop2/leafB/leafB4|0", + "metro2/pop2/leafD/leafD4|metro5/pop2/leafD/leafD4|0", + "metro1/pop1/leafC/leafC4|metro5/pop1/leafC/leafC4|0", + "metro1/pop1/leafA/leafA2|metro5/pop1/leafA/leafA2|0", + "metro2/pop1/leafC/leafC3|metro3/pop1/core/core|0", + "metro2/pop2/leafA/leafA2|metro5/pop2/leafA/leafA2|0", "metro2/pop1/leafC/leafC1|metro3/pop1/core/core|0", - "metro1/pop2/leafD/leafD1|metro5/pop2/leafD/leafD1|0", - "metro2/pop1/leafB/leafB1|metro5/pop1/leafB/leafB1|0", - "metro2/pop1/leafD/leafD1|metro5/pop1/leafD/leafD1|0", - "metro2/pop2/leafC/leafC2|metro3/pop2/core/core|0", + "metro1/pop2/leafD/leafD2|metro5/pop2/leafD/leafD2|0", "metro2/pop1/leafB/leafB4|metro5/pop1/leafB/leafB4|0", + "metro2/pop1/leafB/leafB3|metro5/pop1/leafB/leafB3|0", + "metro2/pop2/leafC/leafC2|metro3/pop2/core/core|0", + "metro2/pop1/leafA/leafA2|metro5/pop1/leafA/leafA2|0", + "metro1/pop1/leafA/leafA4|metro5/pop1/leafA/leafA4|0", + "metro1/pop2/leafB/leafB1|metro5/pop2/leafB/leafB1|0", + "metro2/pop2/leafB/leafB3|metro3/pop2/core/core|0", + "metro2/pop1/leafD/leafD1|metro3/pop1/core/core|0", + "metro2/pop2/leafA/leafA1|metro3/pop2/core/core|0", + "metro2/pop2/leafC/leafC3|metro5/pop2/leafC/leafC3|0", + "metro1/pop1/leafD/leafD4|metro5/pop1/leafD/leafD4|0", + "metro1/pop2/leafC/leafC1|metro5/pop2/leafC/leafC1|0", + "metro1/pop2/leafA/leafA2|metro5/pop2/leafA/leafA2|0", + "metro1/pop2/leafD/leafD1|metro5/pop2/leafD/leafD1|0", + "metro1/pop2/leafC/leafC2|metro5/pop2/leafC/leafC2|0", + "metro1/pop1/leafB/leafB3|metro5/pop1/leafB/leafB3|0", + "metro1/pop1/leafC/leafC2|metro5/pop1/leafC/leafC2|0", + "metro2/pop2/leafD/leafD2|metro3/pop2/core/core|0", "metro1/pop1/leafD/leafD1|metro5/pop1/leafD/leafD1|0", + "metro1/pop1/leafB/leafB2|metro5/pop1/leafB/leafB2|0", + "metro2/pop1/leafA/leafA1|metro5/pop1/leafA/leafA1|0", + "metro2/pop1/leafA/leafA2|metro3/pop1/core/core|0", + "metro2/pop1/leafB/leafB2|metro3/pop1/core/core|0", + "metro2/pop1/leafD/leafD1|metro5/pop1/leafD/leafD1|0", + "metro1/pop2/leafA/leafA1|metro5/pop2/leafA/leafA1|0", + "metro1/pop1/leafB/leafB1|metro5/pop1/leafB/leafB1|0", + "metro2/pop2/leafD/leafD1|metro5/pop2/leafD/leafD1|0", + "metro1/pop2/leafD/leafD3|metro5/pop2/leafD/leafD3|0", + "metro2/pop2/leafB/leafB2|metro3/pop2/core/core|0", + "metro2/pop2/leafC/leafC1|metro5/pop2/leafC/leafC1|0", + "metro1/pop2/leafD/leafD4|metro5/pop2/leafD/leafD4|0", + "metro2/pop1/leafB/leafB1|metro3/pop1/core/core|0", + "metro2/pop1/leafC/leafC2|metro5/pop1/leafC/leafC2|0", + "metro2/pop1/leafD/leafD2|metro5/pop1/leafD/leafD2|0", + "metro2/pop1/leafA/leafA4|metro5/pop1/leafA/leafA4|0", "metro2/pop2/leafD/leafD3|metro3/pop2/core/core|0", + "metro2/pop1/leafC/leafC3|metro5/pop1/leafC/leafC3|0", + "metro2/pop1/leafA/leafA3|metro3/pop1/core/core|0", + "metro1/pop1/leafC/leafC1|metro5/pop1/leafC/leafC1|0", "metro2/pop2/leafD/leafD1|metro3/pop2/core/core|0", - "metro2/pop1/leafC/leafC4|metro5/pop1/leafC/leafC4|0", - "metro2/pop2/leafB/leafB1|metro5/pop2/leafB/leafB1|0", "metro1/pop2/leafC/leafC4|metro5/pop2/leafC/leafC4|0", - "metro1/pop2/leafB/leafB4|metro5/pop2/leafB/leafB4|0", - "metro2/pop2/leafB/leafB2|metro5/pop2/leafB/leafB2|0", - "metro1/pop1/leafB/leafB4|metro5/pop1/leafB/leafB4|0", - "metro2/pop1/leafA/leafA4|metro5/pop1/leafA/leafA4|0", - "metro2/pop2/leafB/leafB4|metro5/pop2/leafB/leafB4|0", - "metro2/pop1/leafA/leafA3|metro3/pop1/core/core|0", - "metro2/pop2/leafC/leafC1|metro5/pop2/leafC/leafC1|0", - "metro1/pop1/leafD/leafD2|metro5/pop1/leafD/leafD2|0", - "metro2/pop2/leafA/leafA3|metro3/pop2/core/core|0", "metro2/pop1/leafB/leafB4|metro3/pop1/core/core|0", - "metro2/pop1/leafD/leafD4|metro3/pop1/core/core|0", - "metro1/pop2/leafA/leafA3|metro5/pop2/leafA/leafA3|0", - "metro1/pop1/leafA/leafA3|metro5/pop1/leafA/leafA3|0", - "metro2/pop1/leafB/leafB2|metro3/pop1/core/core|0", - "metro1/pop1/leafA/leafA1|metro5/pop1/leafA/leafA1|0", - "metro2/pop1/leafB/leafB2|metro5/pop1/leafB/leafB2|0", - "metro2/pop1/leafD/leafD1|metro3/pop1/core/core|0", - "metro1/pop2/leafD/leafD2|metro5/pop2/leafD/leafD2|0", - "metro2/pop1/leafD/leafD2|metro5/pop1/leafD/leafD2|0", - "metro1/pop2/leafC/leafC1|metro5/pop2/leafC/leafC1|0", - "metro1/pop1/leafD/leafD4|metro5/pop1/leafD/leafD4|0", - "metro2/pop1/leafB/leafB1|metro3/pop1/core/core|0", - "metro2/pop1/leafA/leafA1|metro3/pop1/core/core|0" + "metro2/pop2/leafB/leafB3|metro5/pop2/leafB/leafB3|0" ] }, "failure_trace": null, @@ -1727,40 +1727,40 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro3/pop1/core/core|metro5/pop1/leafB/leafB1|0", + "metro3/pop1/core/core|metro5/pop1/leafC/leafC4|0", + "metro3/pop1/core/core|metro5/pop1/leafB/leafB2|0", + "metro3/pop2/core/core|metro5/pop2/leafA/leafA2|0", "metro3/pop2/core/core|metro4/pop2/core/core|0", - "metro3/pop2/core/core|metro5/pop2/leafD/leafD2|0", - "metro3/pop1/core/core|metro4/pop1/core/core|0", - "metro3/pop2/core/core|metro5/pop2/leafC/leafC2|0", - "metro3/pop1/core/core|metro5/pop1/leafD/leafD4|0", + "metro3/pop1/core/core|metro5/pop1/leafB/leafB1|0", + "metro3/pop1/core/core|metro5/pop1/leafC/leafC1|0", + "metro3/pop2/core/core|metro5/pop2/leafB/leafB2|0", + "metro3/pop1/core/core|metro5/pop1/leafA/leafA2|0", + "metro3/pop2/core/core|metro5/pop2/leafC/leafC3|0", + "metro3/pop1/core/core|metro5/pop1/leafD/leafD3|0", + "metro3/pop2/core/core|metro5/pop2/leafB/leafB3|0", + "metro3/pop1/core/core|metro5/pop1/leafB/leafB4|0", + "metro3/pop1/core/core|metro5/pop1/leafA/leafA3|0", "metro3/pop2/core/core|metro5/pop2/leafD/leafD3|0", - "metro3/pop2/core/core|metro5/pop2/leafD/leafD4|0", - "metro3/pop2/core/core|metro5/pop2/leafD/leafD1|0", + "metro3/pop2/core/core|metro5/pop2/leafA/leafA3|0", + "metro3/pop2/core/core|metro5/pop2/leafB/leafB1|0", + "metro3/pop1/core/core|metro4/pop1/core/core|0", "metro3/pop2/core/core|metro5/pop2/leafA/leafA4|0", + "metro3/pop1/core/core|metro5/pop1/leafA/leafA1|0", + "metro3/pop1/core/core|metro5/pop1/leafD/leafD1|0", "metro3/pop1/core/core|metro5/pop1/leafD/leafD2|0", - "metro3/pop2/core/core|metro5/pop2/leafB/leafB3|0", - "metro3/pop1/core/core|metro5/pop1/leafC/leafC3|0", - "metro3/pop2/core/core|metro5/pop2/leafC/leafC3|0", - "metro3/pop2/core/core|metro5/pop2/leafB/leafB1|0", + "metro3/pop2/core/core|metro5/pop2/leafD/leafD4|0", + "metro3/pop1/core/core|metro5/pop1/leafA/leafA4|0", + "metro3/pop2/core/core|metro5/pop2/leafC/leafC2|0", "metro3/pop1/core/core|metro5/pop1/leafC/leafC2|0", - "metro3/pop2/core/core|metro5/pop2/leafC/leafC4|0", "metro3/pop2/core/core|metro5/pop2/leafC/leafC1|0", - "metro3/pop1/core/core|metro5/pop1/leafD/leafD1|0", - "metro3/pop2/core/core|metro5/pop2/leafA/leafA3|0", - "metro3/pop1/core/core|metro5/pop1/leafB/leafB4|0", - "metro3/pop1/core/core|metro5/pop1/leafA/leafA1|0", - "metro3/pop1/core/core|metro5/pop1/leafD/leafD3|0", "metro3/pop1/core/core|metro5/pop1/leafB/leafB3|0", "metro3/pop2/core/core|metro5/pop2/leafA/leafA1|0", - "metro3/pop2/core/core|metro5/pop2/leafB/leafB2|0", - "metro3/pop1/core/core|metro5/pop1/leafC/leafC4|0", - "metro3/pop2/core/core|metro5/pop2/leafA/leafA2|0", - "metro3/pop1/core/core|metro5/pop1/leafB/leafB2|0", - "metro3/pop1/core/core|metro5/pop1/leafC/leafC1|0", - "metro3/pop1/core/core|metro5/pop1/leafA/leafA3|0", - "metro3/pop1/core/core|metro5/pop1/leafA/leafA4|0", - "metro3/pop1/core/core|metro5/pop1/leafA/leafA2|0", - "metro3/pop2/core/core|metro5/pop2/leafB/leafB4|0" + "metro3/pop1/core/core|metro5/pop1/leafD/leafD4|0", + "metro3/pop2/core/core|metro5/pop2/leafB/leafB4|0", + "metro3/pop2/core/core|metro5/pop2/leafD/leafD1|0", + "metro3/pop2/core/core|metro5/pop2/leafC/leafC4|0", + "metro3/pop2/core/core|metro5/pop2/leafD/leafD2|0", + "metro3/pop1/core/core|metro5/pop1/leafC/leafC3|0" ] }, "failure_trace": null, @@ -1870,8 +1870,8 @@ "excluded_nodes": [], "excluded_links": [ "metro2/pop1/leafB/leafB1|metro2/dc1/dc/dc|0", - "metro2/pop2/leafD/leafD3|metro2/dc1/dc/dc|0", - "metro1/pop2/leafD/leafD3|metro1/dc1/dc/dc|0" + "metro1/pop2/leafD/leafD3|metro1/dc1/dc/dc|0", + "metro2/pop2/leafD/leafD3|metro2/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -2105,8 +2105,8 @@ "excluded_nodes": [], "excluded_links": [ "metro5/pop1/leafA/leafA2|metro5/dc1/dc/dc|0", - "metro1/pop1/leafB/leafB2|metro1/dc1/dc/dc|0", - "metro2/pop1/leafC/leafC1|metro2/dc1/dc/dc|0" + "metro2/pop1/leafC/leafC1|metro2/dc1/dc/dc|0", + "metro1/pop1/leafB/leafB2|metro1/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -2797,9 +2797,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ + "metro2/pop1/leafB/leafB3|metro2/dc1/dc/dc|0", "metro5/pop1/leafA/leafA2|metro5/dc1/dc/dc|0", - "metro2/pop2/leafA/leafA2|metro2/dc1/dc/dc|0", - "metro2/pop1/leafB/leafB3|metro2/dc1/dc/dc|0" + "metro2/pop2/leafA/leafA2|metro2/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -3263,9 +3263,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro2/pop1/leafA/leafA4|metro2/dc1/dc/dc|0", + "metro2/pop2/leafC/leafC1|metro2/dc1/dc/dc|0", "metro1/pop1/leafB/leafB1|metro1/dc1/dc/dc|0", - "metro2/pop2/leafC/leafC1|metro2/dc1/dc/dc|0" + "metro2/pop1/leafA/leafA4|metro2/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -3388,8 +3388,8 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro1/pop1/leafA/leafA2|metro1/dc1/dc/dc|0", "metro2/pop1/leafC/leafC4|metro2/dc1/dc/dc|0", + "metro1/pop1/leafA/leafA2|metro1/dc1/dc/dc|0", "metro5/pop1/leafA/leafA1|metro5/dc1/dc/dc|0" ] }, @@ -3733,9 +3733,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ + "metro1/pop2/leafB/leafB2|metro1/dc1/dc/dc|0", "metro5/pop2/leafA/leafA3|metro5/dc1/dc/dc|0", - "metro2/pop1/leafB/leafB2|metro2/dc1/dc/dc|0", - "metro1/pop2/leafB/leafB2|metro1/dc1/dc/dc|0" + "metro2/pop1/leafB/leafB2|metro2/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -3852,9 +3852,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ + "metro2/pop1/leafB/leafB3|metro2/dc1/dc/dc|0", "metro1/pop1/leafB/leafB2|metro1/dc1/dc/dc|0", - "metro2/pop1/leafC/leafC4|metro2/dc1/dc/dc|0", - "metro2/pop1/leafB/leafB3|metro2/dc1/dc/dc|0" + "metro2/pop1/leafC/leafC4|metro2/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -3973,8 +3973,8 @@ "excluded_nodes": [], "excluded_links": [ "metro5/pop1/leafD/leafD2|metro5/dc1/dc/dc|0", - "metro2/pop1/leafB/leafB3|metro2/dc1/dc/dc|0", - "metro2/pop1/leafC/leafC1|metro2/dc1/dc/dc|0" + "metro2/pop1/leafC/leafC1|metro2/dc1/dc/dc|0", + "metro2/pop1/leafB/leafB3|metro2/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -4205,10 +4205,10 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro5/pop2/leafC/leafC1|metro5/pop2/leafD/leafD1|0", - "metro5/pop2/leafA/leafA1|metro5/pop2/leafA/leafA2|0", + "metro5/pop1/leafA/leafA3|metro5/pop1/leafA/leafA4|0", "metro1/pop2/leafA/leafA1|metro1/pop2/leafA/leafA2|0", - "metro5/pop1/leafA/leafA3|metro5/pop1/leafA/leafA4|0" + "metro5/pop2/leafC/leafC1|metro5/pop2/leafD/leafD1|0", + "metro5/pop2/leafA/leafA1|metro5/pop2/leafA/leafA2|0" ] }, "failure_trace": null, @@ -4319,8 +4319,8 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro1/pop1/leafA/leafA1|metro1/dc1/dc/dc|0", "metro2/pop1/leafC/leafC2|metro2/dc1/dc/dc|0", + "metro1/pop1/leafA/leafA1|metro1/dc1/dc/dc|0", "metro1/pop1/leafC/leafC3|metro1/dc1/dc/dc|0" ] }, @@ -4438,9 +4438,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro1/pop2/leafB/leafB1|metro1/pop2/leafC/leafC1|0", "metro2/pop2/leafA/leafA2|metro2/pop2/leafA/leafA4|0", "metro5/pop2/leafD/leafD2|metro5/pop2/leafD/leafD3|0", + "metro1/pop2/leafB/leafB1|metro1/pop2/leafC/leafC1|0", "metro1/pop2/leafD/leafD2|metro1/pop2/leafD/leafD3|0" ] }, @@ -4795,9 +4795,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ + "metro1/pop1/leafD/leafD1|metro1/dc1/dc/dc|0", "metro5/pop1/leafA/leafA2|metro5/dc1/dc/dc|0", - "metro2/pop1/leafD/leafD4|metro2/dc1/dc/dc|0", - "metro1/pop1/leafD/leafD1|metro1/dc1/dc/dc|0" + "metro2/pop1/leafD/leafD4|metro2/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -5029,9 +5029,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ + "metro1/pop2/leafC/leafC1|metro1/dc1/dc/dc|0", "metro2/pop2/leafC/leafC3|metro2/dc1/dc/dc|0", - "metro1/pop2/leafD/leafD2|metro1/dc1/dc/dc|0", - "metro1/pop2/leafC/leafC1|metro1/dc1/dc/dc|0" + "metro1/pop2/leafD/leafD2|metro1/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -5151,10 +5151,10 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro5/pop2/leafB/leafB1|metro5/pop2/leafB/leafB4|0", - "metro2/pop1/leafD/leafD1|metro2/pop1/leafD/leafD4|0", "metro2/pop1/leafB/leafB3|metro2/pop1/leafB/leafB4|0", - "metro1/pop2/leafA/leafA3|metro1/pop2/leafD/leafD3|0" + "metro2/pop1/leafD/leafD1|metro2/pop1/leafD/leafD4|0", + "metro1/pop2/leafA/leafA3|metro1/pop2/leafD/leafD3|0", + "metro5/pop2/leafB/leafB1|metro5/pop2/leafB/leafB4|0" ] }, "failure_trace": null, @@ -5265,10 +5265,10 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro5/pop1/leafA/leafA1|metro5/pop1/leafB/leafB1|0", - "metro5/pop1/leafB/leafB2|metro5/pop1/leafC/leafC2|0", "metro2/pop1/leafB/leafB3|metro2/pop1/leafB/leafB4|0", - "metro1/pop1/leafB/leafB3|metro1/pop1/leafB/leafB4|0" + "metro1/pop1/leafB/leafB3|metro1/pop1/leafB/leafB4|0", + "metro5/pop1/leafB/leafB2|metro5/pop1/leafC/leafC2|0", + "metro5/pop1/leafA/leafA1|metro5/pop1/leafB/leafB1|0" ] }, "failure_trace": null, @@ -5379,9 +5379,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro2/pop2/leafD/leafD2|metro2/dc1/dc/dc|0", "metro1/pop2/leafD/leafD1|metro1/dc1/dc/dc|0", - "metro1/pop2/leafC/leafC1|metro1/dc1/dc/dc|0" + "metro1/pop2/leafC/leafC1|metro1/dc1/dc/dc|0", + "metro2/pop2/leafD/leafD2|metro2/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -5502,9 +5502,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ + "metro2/pop1/leafB/leafB4|metro2/dc1/dc/dc|0", "metro5/pop2/leafA/leafA3|metro5/dc1/dc/dc|0", - "metro5/pop1/leafC/leafC2|metro5/dc1/dc/dc|0", - "metro2/pop1/leafB/leafB4|metro2/dc1/dc/dc|0" + "metro5/pop1/leafC/leafC2|metro5/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -5623,10 +5623,10 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro1/pop2/leafC/leafC3|metro1/pop2/leafC/leafC4|0", "metro1/pop1/leafC/leafC1|metro1/pop1/leafC/leafC4|0", "metro1/pop2/leafA/leafA1|metro1/pop2/leafA/leafA3|0", - "metro5/pop1/leafC/leafC4|metro5/pop1/leafD/leafD4|0" + "metro5/pop1/leafC/leafC4|metro5/pop1/leafD/leafD4|0", + "metro1/pop2/leafC/leafC3|metro1/pop2/leafC/leafC4|0" ] }, "failure_trace": null, @@ -5737,9 +5737,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro2/pop1/leafA/leafA1|metro2/pop1/leafA/leafA2|0", - "metro5/pop2/leafC/leafC2|metro5/pop2/leafD/leafD2|0", "metro1/pop1/leafB/leafB1|metro1/pop1/leafC/leafC1|0", + "metro5/pop2/leafC/leafC2|metro5/pop2/leafD/leafD2|0", + "metro2/pop1/leafA/leafA1|metro2/pop1/leafA/leafA2|0", "metro1/pop1/leafC/leafC2|metro1/pop1/leafC/leafC4|0" ] }, @@ -5852,8 +5852,8 @@ "excluded_nodes": [], "excluded_links": [ "metro1/pop1/leafC/leafC4|metro1/dc1/dc/dc|0", - "metro1/pop2/leafA/leafA3|metro1/dc1/dc/dc|0", - "metro1/pop1/leafC/leafC3|metro1/dc1/dc/dc|0" + "metro1/pop1/leafC/leafC3|metro1/dc1/dc/dc|0", + "metro1/pop2/leafA/leafA3|metro1/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -5970,9 +5970,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro1/pop1/leafD/leafD1|metro1/dc1/dc/dc|0", + "metro2/pop1/leafA/leafA1|metro2/dc1/dc/dc|0", "metro2/pop1/leafC/leafC3|metro2/dc1/dc/dc|0", - "metro2/pop1/leafA/leafA1|metro2/dc1/dc/dc|0" + "metro1/pop1/leafD/leafD1|metro1/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -6094,9 +6094,9 @@ "excluded_nodes": [], "excluded_links": [ "metro1/pop1/leafC/leafC1|metro1/pop1/leafD/leafD1|0", - "metro5/pop1/leafB/leafB1|metro5/pop1/leafB/leafB3|0", "metro1/pop2/leafC/leafC1|metro1/pop2/leafC/leafC2|0", - "metro1/pop1/leafB/leafB1|metro1/pop1/leafC/leafC1|0" + "metro1/pop1/leafB/leafB1|metro1/pop1/leafC/leafC1|0", + "metro5/pop1/leafB/leafB1|metro5/pop1/leafB/leafB3|0" ] }, "failure_trace": null, @@ -6207,9 +6207,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ + "metro1/pop1/leafD/leafD4|metro1/dc1/dc/dc|0", "metro5/pop2/leafA/leafA4|metro5/dc1/dc/dc|0", - "metro5/pop2/leafA/leafA1|metro5/dc1/dc/dc|0", - "metro1/pop1/leafD/leafD4|metro1/dc1/dc/dc|0" + "metro5/pop2/leafA/leafA1|metro5/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -6439,10 +6439,10 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro2/pop1/leafD/leafD2|metro2/pop1/leafD/leafD3|0", "metro2/pop1/leafC/leafC2|metro2/pop1/leafC/leafC3|0", - "metro5/pop2/leafA/leafA4|metro5/pop2/leafB/leafB4|0", - "metro1/pop2/leafA/leafA2|metro1/pop2/leafA/leafA4|0" + "metro1/pop2/leafA/leafA2|metro1/pop2/leafA/leafA4|0", + "metro2/pop1/leafD/leafD2|metro2/pop1/leafD/leafD3|0", + "metro5/pop2/leafA/leafA4|metro5/pop2/leafB/leafB4|0" ] }, "failure_trace": null, @@ -6801,9 +6801,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro1/pop2/leafD/leafD2|metro1/dc1/dc/dc|0", "metro5/pop1/leafA/leafA4|metro5/dc1/dc/dc|0", - "metro5/pop1/leafB/leafB2|metro5/dc1/dc/dc|0" + "metro5/pop1/leafB/leafB2|metro5/dc1/dc/dc|0", + "metro1/pop2/leafD/leafD2|metro1/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -7042,8 +7042,8 @@ "excluded_nodes": [], "excluded_links": [ "metro2/pop1/leafC/leafC4|metro2/dc1/dc/dc|0", - "metro1/pop2/leafD/leafD2|metro1/dc1/dc/dc|0", - "metro1/pop2/leafC/leafC1|metro1/dc1/dc/dc|0" + "metro1/pop2/leafC/leafC1|metro1/dc1/dc/dc|0", + "metro1/pop2/leafD/leafD2|metro1/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -7392,8 +7392,8 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro5/pop1/leafB/leafB4|metro5/dc1/dc/dc|0", "metro2/pop2/leafC/leafC3|metro2/dc1/dc/dc|0", + "metro5/pop1/leafB/leafB4|metro5/dc1/dc/dc|0", "metro2/pop1/leafA/leafA4|metro2/dc1/dc/dc|0" ] }, @@ -7517,9 +7517,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro1/pop1/leafD/leafD2|metro1/dc1/dc/dc|0", "metro5/pop1/leafD/leafD2|metro5/dc1/dc/dc|0", - "metro1/pop2/leafD/leafD4|metro1/dc1/dc/dc|0" + "metro1/pop2/leafD/leafD4|metro1/dc1/dc/dc|0", + "metro1/pop1/leafD/leafD2|metro1/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -7752,134 +7752,134 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro1/pop1/leafB/leafB1|metro2/pop1/leafB/leafB1|0", - "metro1/pop1/leafA/leafA1|metro2/pop1/leafA/leafA1|0", - "metro1/pop1/leafD/leafD3|metro5/pop1/leafD/leafD3|0", - "metro1/pop2/leafD/leafD3|metro5/pop2/leafD/leafD3|0", - "metro2/pop2/leafC/leafC3|metro5/pop2/leafC/leafC3|0", - "metro2/pop1/leafA/leafA2|metro5/pop1/leafA/leafA2|0", - "metro2/pop2/leafD/leafD3|metro5/pop2/leafD/leafD3|0", - "metro1/pop2/leafB/leafB1|metro5/pop2/leafB/leafB1|0", - "metro2/pop1/leafA/leafA2|metro3/pop1/core/core|0", - "metro1/pop1/leafD/leafD2|metro2/pop1/leafD/leafD2|0", "metro2/pop1/leafD/leafD2|metro3/pop1/core/core|0", - "metro2/pop2/leafB/leafB2|metro3/pop2/core/core|0", - "metro2/pop2/leafB/leafB4|metro3/pop2/core/core|0", - "metro1/pop2/leafA/leafA1|metro2/pop2/leafA/leafA1|0", - "metro1/pop2/leafD/leafD4|metro5/pop2/leafD/leafD4|0", - "metro1/pop2/leafA/leafA4|metro2/pop2/leafA/leafA4|0", - "metro1/pop1/leafB/leafB1|metro5/pop1/leafB/leafB1|0", + "metro2/pop2/leafD/leafD2|metro5/pop2/leafD/leafD2|0", + "metro2/pop1/leafD/leafD4|metro5/pop1/leafD/leafD4|0", + "metro2/pop2/leafA/leafA3|metro5/pop2/leafA/leafA3|0", + "metro2/pop1/leafC/leafC4|metro3/pop1/core/core|0", + "metro1/pop1/leafD/leafD1|metro2/pop1/leafD/leafD1|0", + "metro1/pop2/leafB/leafB3|metro5/pop2/leafB/leafB3|0", + "metro2/pop2/leafA/leafA1|metro5/pop2/leafA/leafA1|0", + "metro2/pop1/leafA/leafA1|metro3/pop1/core/core|0", + "metro2/pop2/leafA/leafA3|metro3/pop2/core/core|0", + "metro2/pop2/leafB/leafB1|metro5/pop2/leafB/leafB1|0", + "metro1/pop1/leafC/leafC2|metro2/pop1/leafC/leafC2|0", + "metro1/pop1/leafA/leafA3|metro5/pop1/leafA/leafA3|0", + "metro2/pop1/leafB/leafB3|metro3/pop1/core/core|0", + "metro2/pop2/leafC/leafC2|metro5/pop2/leafC/leafC2|0", + "metro2/pop2/leafD/leafD3|metro5/pop2/leafD/leafD3|0", + "metro1/pop2/leafC/leafC1|metro2/pop2/leafC/leafC1|0", + "metro1/pop2/leafB/leafB4|metro5/pop2/leafB/leafB4|0", + "metro1/pop2/leafC/leafC3|metro5/pop2/leafC/leafC3|0", + "metro1/pop1/leafA/leafA3|metro2/pop1/leafA/leafA3|0", "metro1/pop1/leafC/leafC3|metro5/pop1/leafC/leafC3|0", - "metro2/pop1/leafD/leafD3|metro5/pop1/leafD/leafD3|0", - "metro1/pop1/leafB/leafB4|metro2/pop1/leafB/leafB4|0", - "metro1/pop1/leafD/leafD3|metro2/pop1/leafD/leafD3|0", + "metro2/pop1/leafB/leafB2|metro5/pop1/leafB/leafB2|0", + "metro2/pop1/leafC/leafC2|metro3/pop1/core/core|0", + "metro2/pop2/leafC/leafC4|metro3/pop2/core/core|0", "metro1/pop1/leafC/leafC3|metro2/pop1/leafC/leafC3|0", - "metro2/pop1/leafC/leafC2|metro5/pop1/leafC/leafC2|0", - "metro1/pop1/leafA/leafA4|metro2/pop1/leafA/leafA4|0", - "metro2/pop2/leafA/leafA1|metro3/pop2/core/core|0", - "metro2/pop1/leafA/leafA3|metro5/pop1/leafA/leafA3|0", - "metro1/pop2/leafC/leafC2|metro2/pop2/leafC/leafC2|0", - "metro1/pop1/leafB/leafB3|metro2/pop1/leafB/leafB3|0", - "metro2/pop1/leafC/leafC4|metro3/pop1/core/core|0", - "metro2/pop2/leafA/leafA2|metro3/pop2/core/core|0", - "metro1/pop2/leafB/leafB2|metro5/pop2/leafB/leafB2|0", - "metro2/pop1/leafA/leafA1|metro5/pop1/leafA/leafA1|0", - "metro2/pop1/leafC/leafC1|metro5/pop1/leafC/leafC1|0", - "metro1/pop2/leafA/leafA2|metro5/pop2/leafA/leafA2|0", + "metro1/pop1/leafD/leafD2|metro5/pop1/leafD/leafD2|0", + "metro1/pop1/leafC/leafC4|metro2/pop1/leafC/leafC4|0", + "metro2/pop2/leafB/leafB2|metro5/pop2/leafB/leafB2|0", + "metro2/pop2/leafD/leafD4|metro5/pop2/leafD/leafD4|0", + "metro1/pop2/leafD/leafD3|metro2/pop2/leafD/leafD3|0", + "metro1/pop2/leafD/leafD2|metro5/pop2/leafD/leafD2|0", + "metro1/pop2/leafD/leafD1|metro2/pop2/leafD/leafD1|0", + "metro2/pop1/leafB/leafB3|metro5/pop1/leafB/leafB3|0", + "metro2/pop1/leafA/leafA2|metro5/pop1/leafA/leafA2|0", "metro1/pop2/leafD/leafD2|metro2/pop2/leafD/leafD2|0", - "metro2/pop2/leafD/leafD4|metro3/pop2/core/core|0", - "metro2/pop2/leafA/leafA4|metro5/pop2/leafA/leafA4|0", - "metro2/pop2/leafB/leafB3|metro5/pop2/leafB/leafB3|0", - "metro2/pop2/leafA/leafA3|metro5/pop2/leafA/leafA3|0", - "metro2/pop1/leafC/leafC1|metro3/pop1/core/core|0", + "metro2/pop2/leafB/leafB3|metro3/pop2/core/core|0", + "metro2/pop1/leafD/leafD1|metro3/pop1/core/core|0", + "metro1/pop1/leafC/leafC1|metro2/pop1/leafC/leafC1|0", + "metro1/pop2/leafC/leafC1|metro5/pop2/leafC/leafC1|0", + "metro1/pop2/leafB/leafB3|metro2/pop2/leafB/leafB3|0", + "metro1/pop2/leafA/leafA2|metro5/pop2/leafA/leafA2|0", "metro1/pop2/leafD/leafD1|metro5/pop2/leafD/leafD1|0", - "metro2/pop1/leafB/leafB1|metro5/pop1/leafB/leafB1|0", - "metro2/pop1/leafB/leafB4|metro5/pop1/leafB/leafB4|0", + "metro1/pop1/leafB/leafB3|metro5/pop1/leafB/leafB3|0", + "metro1/pop1/leafC/leafC2|metro5/pop1/leafC/leafC2|0", "metro1/pop1/leafD/leafD1|metro5/pop1/leafD/leafD1|0", + "metro2/pop1/leafA/leafA1|metro5/pop1/leafA/leafA1|0", + "metro1/pop1/leafD/leafD4|metro2/pop1/leafD/leafD4|0", + "metro2/pop1/leafA/leafA2|metro3/pop1/core/core|0", + "metro1/pop2/leafA/leafA1|metro5/pop2/leafA/leafA1|0", + "metro1/pop1/leafB/leafB1|metro5/pop1/leafB/leafB1|0", + "metro1/pop2/leafC/leafC2|metro2/pop2/leafC/leafC2|0", + "metro2/pop2/leafD/leafD1|metro5/pop2/leafD/leafD1|0", + "metro2/pop2/leafB/leafB2|metro3/pop2/core/core|0", + "metro2/pop2/leafC/leafC1|metro5/pop2/leafC/leafC1|0", + "metro1/pop2/leafD/leafD4|metro5/pop2/leafD/leafD4|0", + "metro2/pop1/leafD/leafD2|metro5/pop1/leafD/leafD2|0", + "metro1/pop2/leafA/leafA4|metro2/pop2/leafA/leafA4|0", "metro2/pop2/leafD/leafD3|metro3/pop2/core/core|0", - "metro1/pop2/leafB/leafB2|metro2/pop2/leafB/leafB2|0", + "metro1/pop2/leafD/leafD4|metro2/pop2/leafD/leafD4|0", + "metro2/pop1/leafC/leafC3|metro5/pop1/leafC/leafC3|0", + "metro2/pop2/leafD/leafD1|metro3/pop2/core/core|0", "metro1/pop2/leafC/leafC4|metro5/pop2/leafC/leafC4|0", - "metro1/pop1/leafB/leafB4|metro5/pop1/leafB/leafB4|0", - "metro2/pop2/leafB/leafB4|metro5/pop2/leafB/leafB4|0", - "metro1/pop1/leafD/leafD2|metro5/pop1/leafD/leafD2|0", - "metro2/pop1/leafB/leafB2|metro3/pop1/core/core|0", + "metro2/pop1/leafB/leafB4|metro3/pop1/core/core|0", + "metro1/pop1/leafA/leafA1|metro2/pop1/leafA/leafA1|0", + "metro2/pop2/leafA/leafA2|metro3/pop2/core/core|0", + "metro1/pop1/leafA/leafA2|metro2/pop1/leafA/leafA2|0", "metro1/pop2/leafB/leafB4|metro2/pop2/leafB/leafB4|0", - "metro2/pop1/leafB/leafB2|metro5/pop1/leafB/leafB2|0", - "metro2/pop1/leafD/leafD1|metro3/pop1/core/core|0", - "metro1/pop2/leafC/leafC1|metro2/pop2/leafC/leafC1|0", - "metro1/pop1/leafD/leafD4|metro5/pop1/leafD/leafD4|0", - "metro2/pop1/leafB/leafB1|metro3/pop1/core/core|0", - "metro2/pop1/leafA/leafA1|metro3/pop1/core/core|0", - "metro2/pop1/leafB/leafB3|metro5/pop1/leafB/leafB3|0", - "metro1/pop1/leafA/leafA3|metro2/pop1/leafA/leafA3|0", - "metro1/pop1/leafA/leafA2|metro5/pop1/leafA/leafA2|0", + "metro2/pop2/leafD/leafD4|metro3/pop2/core/core|0", + "metro1/pop2/leafB/leafB1|metro2/pop2/leafB/leafB1|0", + "metro2/pop1/leafA/leafA3|metro5/pop1/leafA/leafA3|0", + "metro2/pop1/leafD/leafD3|metro3/pop1/core/core|0", + "metro2/pop1/leafC/leafC1|metro5/pop1/leafC/leafC1|0", + "metro2/pop2/leafC/leafC4|metro5/pop2/leafC/leafC4|0", + "metro2/pop2/leafB/leafB4|metro3/pop2/core/core|0", + "metro1/pop1/leafA/leafA1|metro5/pop1/leafA/leafA1|0", + "metro1/pop1/leafB/leafB2|metro2/pop1/leafB/leafB2|0", + "metro2/pop1/leafB/leafB1|metro5/pop1/leafB/leafB1|0", + "metro2/pop1/leafC/leafC4|metro5/pop1/leafC/leafC4|0", + "metro1/pop1/leafD/leafD3|metro2/pop1/leafD/leafD3|0", + "metro2/pop1/leafD/leafD4|metro3/pop1/core/core|0", + "metro1/pop1/leafB/leafB1|metro2/pop1/leafB/leafB1|0", + "metro2/pop2/leafC/leafC1|metro3/pop2/core/core|0", "metro1/pop2/leafA/leafA4|metro5/pop2/leafA/leafA4|0", - "metro2/pop2/leafB/leafB3|metro3/pop2/core/core|0", - "metro2/pop2/leafD/leafD2|metro3/pop2/core/core|0", - "metro1/pop2/leafB/leafB3|metro5/pop2/leafB/leafB3|0", - "metro1/pop1/leafC/leafC1|metro5/pop1/leafC/leafC1|0", - "metro2/pop1/leafD/leafD4|metro5/pop1/leafD/leafD4|0", + "metro2/pop2/leafA/leafA4|metro3/pop2/core/core|0", + "metro1/pop2/leafC/leafC4|metro2/pop2/leafC/leafC4|0", + "metro1/pop2/leafA/leafA3|metro2/pop2/leafA/leafA3|0", + "metro1/pop1/leafD/leafD3|metro5/pop1/leafD/leafD3|0", + "metro1/pop1/leafB/leafB4|metro5/pop1/leafB/leafB4|0", "metro2/pop2/leafC/leafC3|metro3/pop2/core/core|0", - "metro1/pop1/leafA/leafA2|metro2/pop1/leafA/leafA2|0", + "metro2/pop1/leafD/leafD3|metro5/pop1/leafD/leafD3|0", + "metro2/pop2/leafA/leafA4|metro5/pop2/leafA/leafA4|0", + "metro1/pop2/leafA/leafA1|metro2/pop2/leafA/leafA1|0", + "metro1/pop1/leafA/leafA4|metro2/pop1/leafA/leafA4|0", + "metro1/pop2/leafA/leafA3|metro5/pop2/leafA/leafA3|0", + "metro2/pop2/leafB/leafB1|metro3/pop2/core/core|0", + "metro1/pop2/leafC/leafC3|metro2/pop2/leafC/leafC3|0", + "metro2/pop1/leafA/leafA4|metro3/pop1/core/core|0", + "metro2/pop2/leafB/leafB4|metro5/pop2/leafB/leafB4|0", "metro1/pop1/leafC/leafC4|metro5/pop1/leafC/leafC4|0", - "metro2/pop2/leafA/leafA2|metro5/pop2/leafA/leafA2|0", + "metro1/pop1/leafA/leafA2|metro5/pop1/leafA/leafA2|0", "metro2/pop1/leafC/leafC3|metro3/pop1/core/core|0", - "metro1/pop2/leafA/leafA1|metro5/pop2/leafA/leafA1|0", - "metro2/pop2/leafC/leafC4|metro5/pop2/leafC/leafC4|0", - "metro1/pop1/leafC/leafC1|metro2/pop1/leafC/leafC1|0", - "metro1/pop2/leafC/leafC3|metro5/pop2/leafC/leafC3|0", - "metro2/pop2/leafA/leafA1|metro5/pop2/leafA/leafA1|0", - "metro2/pop2/leafC/leafC2|metro5/pop2/leafC/leafC2|0", - "metro1/pop1/leafC/leafC4|metro2/pop1/leafC/leafC4|0", - "metro1/pop2/leafB/leafB3|metro2/pop2/leafB/leafB3|0", - "metro2/pop2/leafD/leafD4|metro5/pop2/leafD/leafD4|0", - "metro1/pop1/leafB/leafB3|metro5/pop1/leafB/leafB3|0", - "metro2/pop2/leafD/leafD2|metro5/pop2/leafD/leafD2|0", - "metro2/pop2/leafA/leafA4|metro3/pop2/core/core|0", - "metro1/pop2/leafD/leafD4|metro2/pop2/leafD/leafD4|0", + "metro2/pop2/leafA/leafA2|metro5/pop2/leafA/leafA2|0", + "metro2/pop1/leafC/leafC1|metro3/pop1/core/core|0", + "metro2/pop1/leafB/leafB4|metro5/pop1/leafB/leafB4|0", + "metro2/pop2/leafC/leafC2|metro3/pop2/core/core|0", "metro1/pop1/leafA/leafA4|metro5/pop1/leafA/leafA4|0", - "metro2/pop1/leafB/leafB3|metro3/pop1/core/core|0", - "metro1/pop2/leafA/leafA3|metro2/pop2/leafA/leafA3|0", - "metro1/pop1/leafD/leafD4|metro2/pop1/leafD/leafD4|0", - "metro2/pop2/leafC/leafC1|metro3/pop2/core/core|0", - "metro2/pop1/leafD/leafD3|metro3/pop1/core/core|0", - "metro1/pop2/leafD/leafD1|metro2/pop2/leafD/leafD1|0", - "metro2/pop1/leafC/leafC3|metro5/pop1/leafC/leafC3|0", - "metro1/pop1/leafB/leafB2|metro2/pop1/leafB/leafB2|0", - "metro2/pop1/leafC/leafC2|metro3/pop1/core/core|0", - "metro2/pop2/leafD/leafD1|metro5/pop2/leafD/leafD1|0", - "metro2/pop2/leafB/leafB1|metro3/pop2/core/core|0", - "metro1/pop1/leafB/leafB2|metro5/pop1/leafB/leafB2|0", - "metro1/pop2/leafB/leafB1|metro2/pop2/leafB/leafB1|0", + "metro1/pop2/leafB/leafB1|metro5/pop2/leafB/leafB1|0", + "metro2/pop2/leafA/leafA1|metro3/pop2/core/core|0", + "metro2/pop2/leafC/leafC3|metro5/pop2/leafC/leafC3|0", + "metro1/pop1/leafD/leafD4|metro5/pop1/leafD/leafD4|0", "metro1/pop2/leafC/leafC2|metro5/pop2/leafC/leafC2|0", - "metro1/pop2/leafC/leafC4|metro2/pop2/leafC/leafC4|0", - "metro2/pop1/leafA/leafA4|metro3/pop1/core/core|0", - "metro1/pop1/leafC/leafC2|metro5/pop1/leafC/leafC2|0", - "metro2/pop2/leafC/leafC4|metro3/pop2/core/core|0", - "metro1/pop2/leafA/leafA2|metro2/pop2/leafA/leafA2|0", - "metro1/pop1/leafD/leafD1|metro2/pop1/leafD/leafD1|0", + "metro2/pop2/leafD/leafD2|metro3/pop2/core/core|0", + "metro1/pop1/leafB/leafB2|metro5/pop1/leafB/leafB2|0", + "metro1/pop2/leafB/leafB2|metro2/pop2/leafB/leafB2|0", + "metro1/pop1/leafB/leafB4|metro2/pop1/leafB/leafB4|0", + "metro2/pop1/leafB/leafB2|metro3/pop1/core/core|0", "metro2/pop1/leafD/leafD1|metro5/pop1/leafD/leafD1|0", - "metro2/pop2/leafC/leafC2|metro3/pop2/core/core|0", - "metro2/pop2/leafD/leafD1|metro3/pop2/core/core|0", - "metro2/pop1/leafC/leafC4|metro5/pop1/leafC/leafC4|0", - "metro2/pop2/leafB/leafB1|metro5/pop2/leafB/leafB1|0", - "metro1/pop2/leafB/leafB4|metro5/pop2/leafB/leafB4|0", - "metro2/pop2/leafB/leafB2|metro5/pop2/leafB/leafB2|0", - "metro1/pop2/leafD/leafD3|metro2/pop2/leafD/leafD3|0", + "metro1/pop2/leafD/leafD3|metro5/pop2/leafD/leafD3|0", + "metro1/pop2/leafA/leafA2|metro2/pop2/leafA/leafA2|0", + "metro2/pop1/leafB/leafB1|metro3/pop1/core/core|0", + "metro2/pop1/leafC/leafC2|metro5/pop1/leafC/leafC2|0", "metro2/pop1/leafA/leafA4|metro5/pop1/leafA/leafA4|0", "metro2/pop1/leafA/leafA3|metro3/pop1/core/core|0", - "metro2/pop2/leafC/leafC1|metro5/pop2/leafC/leafC1|0", - "metro2/pop1/leafB/leafB4|metro3/pop1/core/core|0", - "metro2/pop2/leafA/leafA3|metro3/pop2/core/core|0", - "metro2/pop1/leafD/leafD4|metro3/pop1/core/core|0", - "metro1/pop2/leafA/leafA3|metro5/pop2/leafA/leafA3|0", - "metro1/pop1/leafA/leafA3|metro5/pop1/leafA/leafA3|0", - "metro1/pop1/leafA/leafA1|metro5/pop1/leafA/leafA1|0", - "metro1/pop1/leafC/leafC2|metro2/pop1/leafC/leafC2|0", - "metro1/pop2/leafD/leafD2|metro5/pop2/leafD/leafD2|0", - "metro2/pop1/leafD/leafD2|metro5/pop1/leafD/leafD2|0", - "metro1/pop2/leafC/leafC1|metro5/pop2/leafC/leafC1|0", - "metro1/pop2/leafC/leafC3|metro2/pop2/leafC/leafC3|0" + "metro1/pop1/leafC/leafC1|metro5/pop1/leafC/leafC1|0", + "metro1/pop1/leafB/leafB3|metro2/pop1/leafB/leafB3|0", + "metro1/pop1/leafD/leafD2|metro2/pop1/leafD/leafD2|0", + "metro1/pop2/leafB/leafB2|metro5/pop2/leafB/leafB2|0", + "metro2/pop2/leafB/leafB3|metro5/pop2/leafB/leafB3|0" ] }, "failure_trace": null, @@ -7966,40 +7966,40 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro4/pop2/core/core|metro5/pop2/leafC/leafC2|0", - "metro4/pop1/core/core|metro5/pop1/leafC/leafC2|0", + "metro4/pop1/core/core|metro5/pop1/leafC/leafC3|0", + "metro4/pop2/core/core|metro5/pop2/leafB/leafB2|0", + "metro4/pop2/core/core|metro5/pop2/leafC/leafC4|0", "metro3/pop2/core/core|metro4/pop2/core/core|0", - "metro4/pop1/core/core|metro5/pop1/leafD/leafD2|0", - "metro4/pop1/core/core|metro5/pop1/leafB/leafB4|0", - "metro4/pop1/core/core|metro5/pop1/leafD/leafD4|0", - "metro3/pop1/core/core|metro4/pop1/core/core|0", - "metro4/pop1/core/core|metro5/pop1/leafA/leafA1|0", "metro4/pop1/core/core|metro5/pop1/leafB/leafB2|0", - "metro4/pop1/core/core|metro5/pop1/leafC/leafC4|0", - "metro4/pop2/core/core|metro5/pop2/leafB/leafB2|0", - "metro4/pop1/core/core|metro5/pop1/leafD/leafD1|0", - "metro4/pop1/core/core|metro5/pop1/leafA/leafA3|0", - "metro4/pop1/core/core|metro5/pop1/leafB/leafB3|0", - "metro4/pop2/core/core|metro5/pop2/leafA/leafA1|0", - "metro4/pop2/core/core|metro5/pop2/leafC/leafC3|0", - "metro4/pop2/core/core|metro5/pop2/leafD/leafD1|0", - "metro4/pop1/core/core|metro5/pop1/leafA/leafA2|0", + "metro4/pop2/core/core|metro5/pop2/leafD/leafD3|0", "metro4/pop1/core/core|metro5/pop1/leafB/leafB1|0", - "metro4/pop1/core/core|metro5/pop1/leafD/leafD3|0", - "metro4/pop1/core/core|metro5/pop1/leafC/leafC1|0", - "metro4/pop1/core/core|metro5/pop1/leafC/leafC3|0", "metro4/pop1/core/core|metro5/pop1/leafA/leafA4|0", - "metro4/pop2/core/core|metro5/pop2/leafC/leafC4|0", - "metro4/pop2/core/core|metro5/pop2/leafB/leafB1|0", + "metro4/pop1/core/core|metro5/pop1/leafD/leafD4|0", "metro4/pop2/core/core|metro5/pop2/leafD/leafD2|0", - "metro4/pop2/core/core|metro5/pop2/leafA/leafA3|0", + "metro4/pop2/core/core|metro5/pop2/leafC/leafC2|0", + "metro4/pop1/core/core|metro5/pop1/leafD/leafD3|0", "metro4/pop2/core/core|metro5/pop2/leafA/leafA4|0", "metro4/pop2/core/core|metro5/pop2/leafA/leafA2|0", - "metro4/pop2/core/core|metro5/pop2/leafB/leafB4|0", - "metro4/pop2/core/core|metro5/pop2/leafD/leafD3|0", + "metro4/pop2/core/core|metro5/pop2/leafD/leafD1|0", + "metro4/pop1/core/core|metro5/pop1/leafA/leafA3|0", "metro4/pop2/core/core|metro5/pop2/leafC/leafC1|0", + "metro4/pop2/core/core|metro5/pop2/leafC/leafC3|0", + "metro4/pop1/core/core|metro5/pop1/leafB/leafB4|0", + "metro4/pop1/core/core|metro5/pop1/leafC/leafC2|0", + "metro4/pop2/core/core|metro5/pop2/leafB/leafB1|0", + "metro3/pop1/core/core|metro4/pop1/core/core|0", "metro4/pop2/core/core|metro5/pop2/leafD/leafD4|0", - "metro4/pop2/core/core|metro5/pop2/leafB/leafB3|0" + "metro4/pop1/core/core|metro5/pop1/leafB/leafB3|0", + "metro4/pop2/core/core|metro5/pop2/leafA/leafA3|0", + "metro4/pop1/core/core|metro5/pop1/leafD/leafD2|0", + "metro4/pop1/core/core|metro5/pop1/leafC/leafC4|0", + "metro4/pop1/core/core|metro5/pop1/leafA/leafA1|0", + "metro4/pop1/core/core|metro5/pop1/leafA/leafA2|0", + "metro4/pop1/core/core|metro5/pop1/leafD/leafD1|0", + "metro4/pop2/core/core|metro5/pop2/leafA/leafA1|0", + "metro4/pop2/core/core|metro5/pop2/leafB/leafB3|0", + "metro4/pop2/core/core|metro5/pop2/leafB/leafB4|0", + "metro4/pop1/core/core|metro5/pop1/leafC/leafC1|0" ] }, "failure_trace": null, @@ -8108,10 +8108,10 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro5/pop1/leafD/leafD2|metro5/pop1/leafD/leafD4|0", "metro1/pop1/leafD/leafD2|metro1/pop1/leafD/leafD3|0", + "metro2/pop2/leafD/leafD1|metro2/pop2/leafD/leafD2|0", "metro1/pop2/leafB/leafB2|metro1/pop2/leafB/leafB4|0", - "metro2/pop2/leafD/leafD1|metro2/pop2/leafD/leafD2|0" + "metro5/pop1/leafD/leafD2|metro5/pop1/leafD/leafD4|0" ] }, "failure_trace": null, @@ -8222,9 +8222,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro2/pop2/leafA/leafA2|metro2/dc1/dc/dc|0", + "metro5/pop1/leafB/leafB3|metro5/dc1/dc/dc|0", "metro2/pop1/leafB/leafB2|metro2/dc1/dc/dc|0", - "metro5/pop1/leafB/leafB3|metro5/dc1/dc/dc|0" + "metro2/pop2/leafA/leafA2|metro2/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -8347,10 +8347,10 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro2/pop2/leafB/leafB1|metro2/pop2/leafB/leafB3|0", - "metro1/pop1/leafA/leafA1|metro1/pop1/leafB/leafB1|0", "metro1/pop2/leafC/leafC1|metro1/pop2/leafD/leafD1|0", - "metro2/pop1/leafC/leafC1|metro2/pop1/leafC/leafC3|0" + "metro1/pop1/leafA/leafA1|metro1/pop1/leafB/leafB1|0", + "metro2/pop1/leafC/leafC1|metro2/pop1/leafC/leafC3|0", + "metro2/pop2/leafB/leafB1|metro2/pop2/leafB/leafB3|0" ] }, "failure_trace": null, @@ -8461,9 +8461,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro2/pop1/leafD/leafD4|metro2/dc1/dc/dc|0", "metro1/pop1/leafD/leafD4|metro1/dc1/dc/dc|0", - "metro1/pop2/leafD/leafD1|metro1/dc1/dc/dc|0" + "metro1/pop2/leafD/leafD1|metro1/dc1/dc/dc|0", + "metro2/pop1/leafD/leafD4|metro2/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -8589,10 +8589,10 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro5/pop2/leafA/leafA1|metro5/pop2/leafD/leafD1|0", + "metro2/pop1/leafA/leafA3|metro2/pop1/leafB/leafB3|0", "metro2/pop1/leafC/leafC2|metro2/pop1/leafC/leafC4|0", - "metro2/pop1/leafA/leafA2|metro2/pop1/leafA/leafA3|0", - "metro2/pop1/leafA/leafA3|metro2/pop1/leafB/leafB3|0" + "metro5/pop2/leafA/leafA1|metro5/pop2/leafD/leafD1|0", + "metro2/pop1/leafA/leafA2|metro2/pop1/leafA/leafA3|0" ] }, "failure_trace": null, @@ -8818,8 +8818,8 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro5/pop2/leafC/leafC4|metro5/dc1/dc/dc|0", "metro2/pop1/leafB/leafB4|metro2/dc1/dc/dc|0", + "metro5/pop2/leafC/leafC4|metro5/dc1/dc/dc|0", "metro5/pop2/leafB/leafB3|metro5/dc1/dc/dc|0" ] }, @@ -9048,9 +9048,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ + "metro1/pop1/leafA/leafA1|metro1/dc1/dc/dc|0", "metro5/pop2/leafA/leafA2|metro5/dc1/dc/dc|0", - "metro1/pop1/leafD/leafD3|metro1/dc1/dc/dc|0", - "metro1/pop1/leafA/leafA1|metro1/dc1/dc/dc|0" + "metro1/pop1/leafD/leafD3|metro1/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -9167,8 +9167,8 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro1/pop2/leafA/leafA1|metro1/dc1/dc/dc|0", "metro2/pop2/leafC/leafC1|metro2/dc1/dc/dc|0", + "metro1/pop2/leafA/leafA1|metro1/dc1/dc/dc|0", "metro5/pop1/leafC/leafC3|metro5/dc1/dc/dc|0" ] }, @@ -9517,70 +9517,70 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ + "metro1/pop1/leafA/leafA2|metro2/pop1/leafA/leafA2|0", + "metro1/pop2/leafB/leafB4|metro2/pop2/leafB/leafB4|0", + "metro1/pop2/leafB/leafB1|metro2/pop2/leafB/leafB1|0", + "metro1/pop1/leafA/leafA1|metro5/pop1/leafA/leafA1|0", + "metro1/pop1/leafB/leafB2|metro2/pop1/leafB/leafB2|0", + "metro1/pop1/leafD/leafD1|metro2/pop1/leafD/leafD1|0", + "metro1/pop2/leafB/leafB3|metro5/pop2/leafB/leafB3|0", + "metro1/pop2/leafB/leafB2|metro5/pop2/leafB/leafB2|0", + "metro1/pop1/leafD/leafD3|metro2/pop1/leafD/leafD3|0", "metro1/pop1/leafB/leafB1|metro2/pop1/leafB/leafB1|0", - "metro1/pop1/leafA/leafA1|metro2/pop1/leafA/leafA1|0", - "metro1/pop1/leafA/leafA3|metro2/pop1/leafA/leafA3|0", - "metro1/pop1/leafA/leafA2|metro5/pop1/leafA/leafA2|0", - "metro1/pop1/leafD/leafD3|metro5/pop1/leafD/leafD3|0", "metro1/pop2/leafA/leafA4|metro5/pop2/leafA/leafA4|0", - "metro1/pop2/leafD/leafD3|metro5/pop2/leafD/leafD3|0", - "metro1/pop2/leafB/leafB3|metro5/pop2/leafB/leafB3|0", - "metro1/pop1/leafC/leafC1|metro5/pop1/leafC/leafC1|0", - "metro1/pop2/leafB/leafB1|metro5/pop2/leafB/leafB1|0", - "metro1/pop1/leafA/leafA2|metro2/pop1/leafA/leafA2|0", - "metro1/pop1/leafD/leafD2|metro2/pop1/leafD/leafD2|0", - "metro1/pop1/leafC/leafC4|metro5/pop1/leafC/leafC4|0", - "metro1/pop2/leafA/leafA1|metro5/pop2/leafA/leafA1|0", - "metro1/pop1/leafC/leafC1|metro2/pop1/leafC/leafC1|0", - "metro1/pop2/leafC/leafC3|metro5/pop2/leafC/leafC3|0", + "metro1/pop1/leafC/leafC2|metro2/pop1/leafC/leafC2|0", + "metro1/pop2/leafC/leafC4|metro2/pop2/leafC/leafC4|0", + "metro1/pop2/leafA/leafA3|metro2/pop2/leafA/leafA3|0", + "metro1/pop1/leafD/leafD3|metro5/pop1/leafD/leafD3|0", + "metro1/pop1/leafA/leafA3|metro5/pop1/leafA/leafA3|0", + "metro1/pop1/leafB/leafB4|metro5/pop1/leafB/leafB4|0", "metro1/pop2/leafA/leafA1|metro2/pop2/leafA/leafA1|0", - "metro1/pop1/leafC/leafC4|metro2/pop1/leafC/leafC4|0", - "metro1/pop2/leafB/leafB3|metro2/pop2/leafB/leafB3|0", - "metro1/pop1/leafB/leafB3|metro5/pop1/leafB/leafB3|0", - "metro1/pop2/leafD/leafD4|metro5/pop2/leafD/leafD4|0", - "metro1/pop2/leafA/leafA4|metro2/pop2/leafA/leafA4|0", - "metro1/pop1/leafB/leafB1|metro5/pop1/leafB/leafB1|0", + "metro1/pop1/leafA/leafA4|metro2/pop1/leafA/leafA4|0", + "metro1/pop2/leafC/leafC1|metro2/pop2/leafC/leafC1|0", + "metro1/pop2/leafA/leafA3|metro5/pop2/leafA/leafA3|0", + "metro1/pop2/leafB/leafB4|metro5/pop2/leafB/leafB4|0", + "metro1/pop2/leafC/leafC3|metro5/pop2/leafC/leafC3|0", + "metro1/pop1/leafA/leafA3|metro2/pop1/leafA/leafA3|0", + "metro1/pop2/leafC/leafC3|metro2/pop2/leafC/leafC3|0", "metro1/pop1/leafC/leafC3|metro5/pop1/leafC/leafC3|0", - "metro1/pop1/leafB/leafB4|metro2/pop1/leafB/leafB4|0", - "metro1/pop2/leafD/leafD4|metro2/pop2/leafD/leafD4|0", - "metro1/pop1/leafA/leafA4|metro5/pop1/leafA/leafA4|0", - "metro1/pop1/leafD/leafD3|metro2/pop1/leafD/leafD3|0", "metro1/pop1/leafC/leafC3|metro2/pop1/leafC/leafC3|0", - "metro1/pop1/leafA/leafA4|metro2/pop1/leafA/leafA4|0", - "metro1/pop2/leafA/leafA3|metro2/pop2/leafA/leafA3|0", - "metro1/pop1/leafD/leafD4|metro2/pop1/leafD/leafD4|0", - "metro1/pop2/leafC/leafC2|metro2/pop2/leafC/leafC2|0", - "metro1/pop1/leafB/leafB3|metro2/pop1/leafB/leafB3|0", - "metro1/pop2/leafB/leafB2|metro5/pop2/leafB/leafB2|0", + "metro1/pop1/leafD/leafD2|metro5/pop1/leafD/leafD2|0", + "metro1/pop1/leafC/leafC4|metro2/pop1/leafC/leafC4|0", + "metro1/pop1/leafC/leafC4|metro5/pop1/leafC/leafC4|0", + "metro1/pop1/leafA/leafA2|metro5/pop1/leafA/leafA2|0", + "metro1/pop2/leafD/leafD3|metro2/pop2/leafD/leafD3|0", + "metro1/pop2/leafD/leafD2|metro5/pop2/leafD/leafD2|0", "metro1/pop2/leafD/leafD1|metro2/pop2/leafD/leafD1|0", - "metro1/pop2/leafA/leafA2|metro5/pop2/leafA/leafA2|0", + "metro1/pop1/leafA/leafA4|metro5/pop1/leafA/leafA4|0", + "metro1/pop2/leafB/leafB1|metro5/pop2/leafB/leafB1|0", "metro1/pop2/leafD/leafD2|metro2/pop2/leafD/leafD2|0", - "metro1/pop1/leafB/leafB2|metro2/pop1/leafB/leafB2|0", - "metro1/pop1/leafB/leafB2|metro5/pop1/leafB/leafB2|0", - "metro1/pop2/leafB/leafB1|metro2/pop2/leafB/leafB1|0", + "metro1/pop1/leafD/leafD4|metro5/pop1/leafD/leafD4|0", + "metro1/pop1/leafC/leafC1|metro2/pop1/leafC/leafC1|0", + "metro1/pop2/leafC/leafC1|metro5/pop2/leafC/leafC1|0", + "metro1/pop2/leafB/leafB3|metro2/pop2/leafB/leafB3|0", + "metro1/pop2/leafA/leafA2|metro5/pop2/leafA/leafA2|0", + "metro1/pop2/leafD/leafD1|metro5/pop2/leafD/leafD1|0", "metro1/pop2/leafC/leafC2|metro5/pop2/leafC/leafC2|0", - "metro1/pop2/leafC/leafC4|metro2/pop2/leafC/leafC4|0", + "metro1/pop1/leafB/leafB3|metro5/pop1/leafB/leafB3|0", "metro1/pop1/leafC/leafC2|metro5/pop1/leafC/leafC2|0", - "metro1/pop2/leafA/leafA2|metro2/pop2/leafA/leafA2|0", - "metro1/pop2/leafD/leafD1|metro5/pop2/leafD/leafD1|0", - "metro1/pop1/leafD/leafD1|metro2/pop1/leafD/leafD1|0", + "metro1/pop1/leafB/leafB2|metro5/pop1/leafB/leafB2|0", "metro1/pop1/leafD/leafD1|metro5/pop1/leafD/leafD1|0", "metro1/pop2/leafB/leafB2|metro2/pop2/leafB/leafB2|0", - "metro1/pop2/leafB/leafB4|metro5/pop2/leafB/leafB4|0", + "metro1/pop1/leafB/leafB4|metro2/pop1/leafB/leafB4|0", + "metro1/pop1/leafD/leafD4|metro2/pop1/leafD/leafD4|0", + "metro1/pop2/leafA/leafA1|metro5/pop2/leafA/leafA1|0", + "metro1/pop1/leafB/leafB1|metro5/pop1/leafB/leafB1|0", + "metro1/pop2/leafC/leafC2|metro2/pop2/leafC/leafC2|0", + "metro1/pop2/leafD/leafD3|metro5/pop2/leafD/leafD3|0", + "metro1/pop2/leafA/leafA2|metro2/pop2/leafA/leafA2|0", + "metro1/pop2/leafD/leafD4|metro5/pop2/leafD/leafD4|0", + "metro1/pop2/leafA/leafA4|metro2/pop2/leafA/leafA4|0", + "metro1/pop2/leafD/leafD4|metro2/pop2/leafD/leafD4|0", + "metro1/pop1/leafC/leafC1|metro5/pop1/leafC/leafC1|0", + "metro1/pop1/leafB/leafB3|metro2/pop1/leafB/leafB3|0", + "metro1/pop1/leafD/leafD2|metro2/pop1/leafD/leafD2|0", "metro1/pop2/leafC/leafC4|metro5/pop2/leafC/leafC4|0", - "metro1/pop1/leafB/leafB4|metro5/pop1/leafB/leafB4|0", - "metro1/pop2/leafD/leafD3|metro2/pop2/leafD/leafD3|0", - "metro1/pop1/leafD/leafD2|metro5/pop1/leafD/leafD2|0", - "metro1/pop2/leafA/leafA3|metro5/pop2/leafA/leafA3|0", - "metro1/pop1/leafA/leafA3|metro5/pop1/leafA/leafA3|0", - "metro1/pop1/leafA/leafA1|metro5/pop1/leafA/leafA1|0", - "metro1/pop1/leafC/leafC2|metro2/pop1/leafC/leafC2|0", - "metro1/pop2/leafB/leafB4|metro2/pop2/leafB/leafB4|0", - "metro1/pop2/leafD/leafD2|metro5/pop2/leafD/leafD2|0", - "metro1/pop2/leafC/leafC1|metro2/pop2/leafC/leafC1|0", - "metro1/pop2/leafC/leafC1|metro5/pop2/leafC/leafC1|0", - "metro1/pop1/leafD/leafD4|metro5/pop1/leafD/leafD4|0", - "metro1/pop2/leafC/leafC3|metro2/pop2/leafC/leafC3|0" + "metro1/pop1/leafA/leafA1|metro2/pop1/leafA/leafA1|0" ] }, "failure_trace": null, @@ -9667,9 +9667,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro1/pop1/leafC/leafC1|metro1/dc1/dc/dc|0", "metro1/pop1/leafD/leafD4|metro1/dc1/dc/dc|0", - "metro2/pop2/leafD/leafD4|metro2/dc1/dc/dc|0" + "metro2/pop2/leafD/leafD4|metro2/dc1/dc/dc|0", + "metro1/pop1/leafC/leafC1|metro1/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -9791,9 +9791,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ + "metro5/pop2/leafA/leafA4|metro5/dc1/dc/dc|0", "metro5/pop2/leafD/leafD2|metro5/dc1/dc/dc|0", - "metro5/pop1/leafD/leafD3|metro5/dc1/dc/dc|0", - "metro5/pop2/leafA/leafA4|metro5/dc1/dc/dc|0" + "metro5/pop1/leafD/leafD3|metro5/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -9911,9 +9911,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ + "metro1/pop2/leafD/leafD1|metro1/dc1/dc/dc|0", "metro5/pop1/leafC/leafC4|metro5/dc1/dc/dc|0", - "metro1/pop2/leafC/leafC2|metro1/dc1/dc/dc|0", - "metro1/pop2/leafD/leafD1|metro1/dc1/dc/dc|0" + "metro1/pop2/leafC/leafC2|metro1/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -10033,9 +10033,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro1/pop1/leafA/leafA3|metro1/dc1/dc/dc|0", + "metro2/pop1/leafA/leafA1|metro2/dc1/dc/dc|0", "metro1/pop1/leafB/leafB1|metro1/dc1/dc/dc|0", - "metro2/pop1/leafA/leafA1|metro2/dc1/dc/dc|0" + "metro1/pop1/leafA/leafA3|metro1/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -10158,9 +10158,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ + "metro2/pop2/leafD/leafD4|metro2/dc1/dc/dc|0", "metro5/pop2/leafC/leafC2|metro5/dc1/dc/dc|0", - "metro2/pop1/leafB/leafB2|metro2/dc1/dc/dc|0", - "metro2/pop2/leafD/leafD4|metro2/dc1/dc/dc|0" + "metro2/pop1/leafB/leafB2|metro2/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -10279,8 +10279,8 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro5/pop2/leafC/leafC2|metro5/dc1/dc/dc|0", "metro5/pop1/leafB/leafB3|metro5/dc1/dc/dc|0", + "metro5/pop2/leafC/leafC2|metro5/dc1/dc/dc|0", "metro5/pop1/leafC/leafC3|metro5/dc1/dc/dc|0" ] }, @@ -10398,8 +10398,8 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro2/pop2/leafC/leafC3|metro2/dc1/dc/dc|0", "metro5/pop1/leafB/leafB3|metro5/dc1/dc/dc|0", + "metro2/pop2/leafC/leafC3|metro2/dc1/dc/dc|0", "metro2/pop2/leafB/leafB4|metro2/dc1/dc/dc|0" ] }, @@ -10521,9 +10521,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro1/pop1/leafA/leafA3|metro1/dc1/dc/dc|0", "metro1/pop1/leafB/leafB1|metro1/dc1/dc/dc|0", - "metro2/pop1/leafB/leafB2|metro2/dc1/dc/dc|0" + "metro2/pop1/leafB/leafB2|metro2/dc1/dc/dc|0", + "metro1/pop1/leafA/leafA3|metro1/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -10641,8 +10641,8 @@ "excluded_nodes": [], "excluded_links": [ "metro1/pop1/leafD/leafD2|metro1/dc1/dc/dc|0", - "metro1/pop1/leafA/leafA3|metro1/dc1/dc/dc|0", - "metro1/pop2/leafC/leafC3|metro1/dc1/dc/dc|0" + "metro1/pop2/leafC/leafC3|metro1/dc1/dc/dc|0", + "metro1/pop1/leafA/leafA3|metro1/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -10761,8 +10761,8 @@ "excluded_links": [ "metro2/pop1/leafD/leafD3|metro2/pop1/leafD/leafD4|0", "metro2/pop2/leafA/leafA1|metro2/pop2/leafA/leafA3|0", - "metro2/pop2/leafB/leafB3|metro2/pop2/leafB/leafB4|0", - "metro2/pop1/leafA/leafA3|metro2/pop1/leafB/leafB3|0" + "metro2/pop1/leafA/leafA3|metro2/pop1/leafB/leafB3|0", + "metro2/pop2/leafB/leafB3|metro2/pop2/leafB/leafB4|0" ] }, "failure_trace": null, @@ -10986,9 +10986,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro1/pop1/leafD/leafD2|metro1/dc1/dc/dc|0", + "metro2/pop2/leafB/leafB2|metro2/dc1/dc/dc|0", "metro2/pop2/leafC/leafC4|metro2/dc1/dc/dc|0", - "metro2/pop2/leafB/leafB2|metro2/dc1/dc/dc|0" + "metro1/pop1/leafD/leafD2|metro1/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -11110,9 +11110,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ + "metro2/pop1/leafD/leafD1|metro2/dc1/dc/dc|0", "metro2/pop2/leafC/leafC3|metro2/dc1/dc/dc|0", - "metro1/pop2/leafA/leafA2|metro1/dc1/dc/dc|0", - "metro2/pop1/leafD/leafD1|metro2/dc1/dc/dc|0" + "metro1/pop2/leafA/leafA2|metro1/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -11235,9 +11235,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro2/pop1/leafA/leafA4|metro2/dc1/dc/dc|0", "metro2/pop2/leafB/leafB2|metro2/dc1/dc/dc|0", - "metro2/pop1/leafC/leafC3|metro2/dc1/dc/dc|0" + "metro2/pop1/leafC/leafC3|metro2/dc1/dc/dc|0", + "metro2/pop1/leafA/leafA4|metro2/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -11593,9 +11593,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro2/pop1/leafD/leafD2|metro2/dc1/dc/dc|0", "metro5/pop1/leafB/leafB2|metro5/dc1/dc/dc|0", - "metro2/pop1/leafD/leafD3|metro2/dc1/dc/dc|0" + "metro2/pop1/leafD/leafD3|metro2/dc1/dc/dc|0", + "metro2/pop1/leafD/leafD2|metro2/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -11827,9 +11827,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ + "metro2/pop1/leafA/leafA3|metro2/dc1/dc/dc|0", "metro1/pop1/leafD/leafD1|metro1/dc1/dc/dc|0", - "metro5/pop1/leafB/leafB2|metro5/dc1/dc/dc|0", - "metro2/pop1/leafA/leafA3|metro2/dc1/dc/dc|0" + "metro5/pop1/leafB/leafB2|metro5/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -12061,9 +12061,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro1/pop1/leafC/leafC2|metro1/dc1/dc/dc|0", + "metro2/pop2/leafD/leafD4|metro2/dc1/dc/dc|0", "metro2/pop1/leafC/leafC4|metro2/dc1/dc/dc|0", - "metro2/pop2/leafD/leafD4|metro2/dc1/dc/dc|0" + "metro1/pop1/leafC/leafC2|metro1/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -12187,8 +12187,8 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro2/pop2/leafA/leafA1|metro2/dc1/dc/dc|0", "metro5/pop1/leafD/leafD1|metro5/dc1/dc/dc|0", + "metro2/pop2/leafA/leafA1|metro2/dc1/dc/dc|0", "metro1/pop1/leafB/leafB1|metro1/dc1/dc/dc|0" ] }, @@ -12426,9 +12426,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro1/pop1/leafA/leafA2|metro1/dc1/dc/dc|0", "metro2/pop1/leafB/leafB4|metro2/dc1/dc/dc|0", - "metro2/pop1/leafD/leafD1|metro2/dc1/dc/dc|0" + "metro2/pop1/leafD/leafD1|metro2/dc1/dc/dc|0", + "metro1/pop1/leafA/leafA2|metro1/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -12547,10 +12547,10 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro1/pop1/leafC/leafC1|metro1/pop1/leafD/leafD1|0", - "metro2/pop2/leafA/leafA2|metro2/pop2/leafA/leafA3|0", "metro5/pop1/leafB/leafB3|metro5/pop1/leafB/leafB4|0", - "metro2/pop2/leafC/leafC4|metro2/pop2/leafD/leafD4|0" + "metro1/pop1/leafC/leafC1|metro1/pop1/leafD/leafD1|0", + "metro2/pop2/leafC/leafC4|metro2/pop2/leafD/leafD4|0", + "metro2/pop2/leafA/leafA2|metro2/pop2/leafA/leafA3|0" ] }, "failure_trace": null, @@ -12888,8 +12888,8 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro5/pop2/leafC/leafC1|metro5/pop2/leafD/leafD1|0", "metro2/pop1/leafB/leafB1|metro2/pop1/leafB/leafB4|0", + "metro5/pop2/leafC/leafC1|metro5/pop2/leafD/leafD1|0", "metro2/pop2/leafA/leafA3|metro2/pop2/leafB/leafB3|0", "metro2/pop2/leafB/leafB2|metro2/pop2/leafB/leafB3|0" ] @@ -13002,8 +13002,8 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro5/pop2/leafA/leafA4|metro5/dc1/dc/dc|0", "metro2/pop1/leafB/leafB4|metro2/dc1/dc/dc|0", + "metro5/pop2/leafA/leafA4|metro5/dc1/dc/dc|0", "metro1/pop2/leafD/leafD3|metro1/dc1/dc/dc|0" ] }, @@ -13123,8 +13123,8 @@ "excluded_nodes": [], "excluded_links": [ "metro1/pop2/leafB/leafB4|metro1/dc1/dc/dc|0", - "metro5/pop1/leafC/leafC3|metro5/dc1/dc/dc|0", - "metro5/pop1/leafC/leafC1|metro5/dc1/dc/dc|0" + "metro5/pop1/leafC/leafC1|metro5/dc1/dc/dc|0", + "metro5/pop1/leafC/leafC3|metro5/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -13241,9 +13241,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ + "metro5/pop1/leafA/leafA1|metro5/pop1/leafB/leafB1|0", "metro2/pop1/leafB/leafB3|metro2/pop1/leafC/leafC3|0", "metro5/pop2/leafC/leafC3|metro5/pop2/leafC/leafC4|0", - "metro5/pop1/leafA/leafA1|metro5/pop1/leafB/leafB1|0", "metro1/pop2/leafA/leafA2|metro1/pop2/leafB/leafB2|0" ] }, @@ -13695,9 +13695,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro2/pop2/leafB/leafB1|metro2/dc1/dc/dc|0", + "metro1/pop1/leafC/leafC3|metro1/dc1/dc/dc|0", "metro2/pop1/leafD/leafD4|metro2/dc1/dc/dc|0", - "metro1/pop1/leafC/leafC3|metro1/dc1/dc/dc|0" + "metro2/pop2/leafB/leafB1|metro2/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -13823,9 +13823,9 @@ "excluded_nodes": [], "excluded_links": [ "metro2/pop1/leafC/leafC4|metro2/pop1/leafD/leafD4|0", - "metro5/pop2/leafC/leafC1|metro5/pop2/leafC/leafC4|0", + "metro2/pop2/leafB/leafB1|metro2/pop2/leafB/leafB4|0", "metro2/pop1/leafC/leafC3|metro2/pop1/leafC/leafC4|0", - "metro2/pop2/leafB/leafB1|metro2/pop2/leafB/leafB4|0" + "metro5/pop2/leafC/leafC1|metro5/pop2/leafC/leafC4|0" ] }, "failure_trace": null, @@ -13936,8 +13936,8 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro2/pop2/leafC/leafC4|metro2/dc1/dc/dc|0", "metro1/pop1/leafD/leafD4|metro1/dc1/dc/dc|0", + "metro2/pop2/leafC/leafC4|metro2/dc1/dc/dc|0", "metro2/pop2/leafC/leafC2|metro2/dc1/dc/dc|0" ] }, @@ -14292,9 +14292,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro2/pop2/leafB/leafB1|metro2/dc1/dc/dc|0", + "metro1/pop1/leafB/leafB3|metro1/dc1/dc/dc|0", "metro2/pop1/leafC/leafC4|metro2/dc1/dc/dc|0", - "metro1/pop1/leafB/leafB3|metro1/dc1/dc/dc|0" + "metro2/pop2/leafB/leafB1|metro2/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -14419,9 +14419,9 @@ "excluded_nodes": [], "excluded_links": [ "metro2/pop1/leafD/leafD1|metro2/pop1/leafD/leafD2|0", - "metro5/pop1/leafC/leafC1|metro5/pop1/leafD/leafD1|0", + "metro1/pop2/leafA/leafA3|metro1/pop2/leafD/leafD3|0", "metro1/pop2/leafA/leafA2|metro1/pop2/leafB/leafB2|0", - "metro1/pop2/leafA/leafA3|metro1/pop2/leafD/leafD3|0" + "metro5/pop1/leafC/leafC1|metro5/pop1/leafD/leafD1|0" ] }, "failure_trace": null, @@ -14645,8 +14645,8 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro5/pop1/leafA/leafA2|metro5/dc1/dc/dc|0", "metro2/pop2/leafD/leafD2|metro2/dc1/dc/dc|0", + "metro5/pop1/leafA/leafA2|metro5/dc1/dc/dc|0", "metro5/pop1/leafA/leafA1|metro5/dc1/dc/dc|0" ] }, @@ -14770,8 +14770,8 @@ "excluded_nodes": [], "excluded_links": [ "metro1/pop2/leafC/leafC4|metro1/dc1/dc/dc|0", - "metro2/pop2/leafD/leafD2|metro2/dc1/dc/dc|0", - "metro5/pop2/leafB/leafB3|metro5/dc1/dc/dc|0" + "metro5/pop2/leafB/leafB3|metro5/dc1/dc/dc|0", + "metro2/pop2/leafD/leafD2|metro2/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -14890,9 +14890,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro1/pop1/leafA/leafA3|metro1/dc1/dc/dc|0", + "metro2/pop2/leafB/leafB3|metro2/dc1/dc/dc|0", "metro2/pop2/leafA/leafA1|metro2/dc1/dc/dc|0", - "metro2/pop2/leafB/leafB3|metro2/dc1/dc/dc|0" + "metro1/pop1/leafA/leafA3|metro1/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -15014,10 +15014,10 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro2/pop1/leafB/leafB1|metro2/pop1/leafC/leafC1|0", "metro5/pop1/leafB/leafB3|metro5/pop1/leafB/leafB4|0", - "metro2/pop2/leafC/leafC1|metro2/pop2/leafC/leafC3|0", - "metro2/pop2/leafB/leafB2|metro2/pop2/leafB/leafB4|0" + "metro2/pop1/leafB/leafB1|metro2/pop1/leafC/leafC1|0", + "metro2/pop2/leafB/leafB2|metro2/pop2/leafB/leafB4|0", + "metro2/pop2/leafC/leafC1|metro2/pop2/leafC/leafC3|0" ] }, "failure_trace": null, @@ -15242,8 +15242,8 @@ "excluded_nodes": [], "excluded_links": [ "metro1/pop1/leafA/leafA1|metro1/dc1/dc/dc|0", - "metro5/pop1/leafD/leafD3|metro5/dc1/dc/dc|0", - "metro1/pop2/leafD/leafD4|metro1/dc1/dc/dc|0" + "metro1/pop2/leafD/leafD4|metro1/dc1/dc/dc|0", + "metro5/pop1/leafD/leafD3|metro5/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -15362,9 +15362,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ + "metro2/pop2/leafA/leafA4|metro2/dc1/dc/dc|0", "metro1/pop2/leafB/leafB4|metro1/dc1/dc/dc|0", - "metro1/pop2/leafC/leafC4|metro1/dc1/dc/dc|0", - "metro2/pop2/leafA/leafA4|metro2/dc1/dc/dc|0" + "metro1/pop2/leafC/leafC4|metro1/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -15482,9 +15482,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro5/pop2/leafC/leafC1|metro5/dc1/dc/dc|0", "metro5/pop2/leafB/leafB3|metro5/dc1/dc/dc|0", - "metro1/pop2/leafC/leafC3|metro1/dc1/dc/dc|0" + "metro1/pop2/leafC/leafC3|metro1/dc1/dc/dc|0", + "metro5/pop2/leafC/leafC1|metro5/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -15713,9 +15713,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro1/pop1/leafB/leafB1|metro1/dc1/dc/dc|0", + "metro2/pop1/leafA/leafA1|metro2/dc1/dc/dc|0", "metro1/pop2/leafC/leafC1|metro1/dc1/dc/dc|0", - "metro2/pop1/leafA/leafA1|metro2/dc1/dc/dc|0" + "metro1/pop1/leafB/leafB1|metro1/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -15952,8 +15952,8 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro2/pop1/leafD/leafD2|metro2/pop1/leafD/leafD3|0", "metro2/pop1/leafB/leafB2|metro2/pop1/leafB/leafB4|0", + "metro2/pop1/leafD/leafD2|metro2/pop1/leafD/leafD3|0", "metro2/pop2/leafB/leafB3|metro2/pop2/leafB/leafB4|0", "metro2/pop2/leafB/leafB2|metro2/pop2/leafC/leafC2|0" ] @@ -16067,9 +16067,9 @@ "excluded_nodes": [], "excluded_links": [ "metro5/pop1/leafC/leafC2|metro5/pop1/leafC/leafC3|0", - "metro1/pop2/leafA/leafA3|metro1/pop2/leafA/leafA4|0", + "metro2/pop2/leafB/leafB1|metro2/pop2/leafB/leafB4|0", "metro5/pop2/leafC/leafC2|metro5/pop2/leafD/leafD2|0", - "metro2/pop2/leafB/leafB1|metro2/pop2/leafB/leafB4|0" + "metro1/pop2/leafA/leafA3|metro1/pop2/leafA/leafA4|0" ] }, "failure_trace": null, @@ -16180,9 +16180,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro1/pop1/leafA/leafA3|metro1/pop1/leafB/leafB3|0", - "metro1/pop1/leafC/leafC1|metro1/pop1/leafC/leafC3|0", "metro5/pop1/leafC/leafC2|metro5/pop1/leafC/leafC3|0", + "metro1/pop1/leafC/leafC1|metro1/pop1/leafC/leafC3|0", + "metro1/pop1/leafA/leafA3|metro1/pop1/leafB/leafB3|0", "metro1/pop2/leafC/leafC1|metro1/pop2/leafD/leafD1|0" ] }, @@ -16408,10 +16408,10 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro1/pop2/leafD/leafD3|metro1/pop2/leafD/leafD4|0", "metro5/pop1/leafD/leafD2|metro5/pop1/leafD/leafD4|0", - "metro1/pop1/leafD/leafD1|metro1/pop1/leafD/leafD4|0", - "metro2/pop2/leafB/leafB2|metro2/pop2/leafB/leafB3|0" + "metro1/pop2/leafD/leafD3|metro1/pop2/leafD/leafD4|0", + "metro2/pop2/leafB/leafB2|metro2/pop2/leafB/leafB3|0", + "metro1/pop1/leafD/leafD1|metro1/pop1/leafD/leafD4|0" ] }, "failure_trace": null, @@ -16522,8 +16522,8 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro5/pop1/leafC/leafC2|metro5/dc1/dc/dc|0", "metro2/pop1/leafC/leafC4|metro2/dc1/dc/dc|0", + "metro5/pop1/leafC/leafC2|metro5/dc1/dc/dc|0", "metro5/pop2/leafB/leafB4|metro5/dc1/dc/dc|0" ] }, @@ -16645,8 +16645,8 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro5/pop1/leafC/leafC4|metro5/dc1/dc/dc|0", "metro5/pop1/leafB/leafB1|metro5/dc1/dc/dc|0", + "metro5/pop1/leafC/leafC4|metro5/dc1/dc/dc|0", "metro1/pop1/leafA/leafA4|metro1/dc1/dc/dc|0" ] }, @@ -16764,9 +16764,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro2/pop2/leafB/leafB1|metro2/dc1/dc/dc|0", "metro2/pop2/leafC/leafC4|metro2/dc1/dc/dc|0", - "metro2/pop1/leafA/leafA2|metro2/dc1/dc/dc|0" + "metro2/pop1/leafA/leafA2|metro2/dc1/dc/dc|0", + "metro2/pop2/leafB/leafB1|metro2/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -17000,9 +17000,9 @@ "excluded_nodes": [], "excluded_links": [ "metro5/pop1/leafA/leafA2|metro5/pop1/leafB/leafB2|0", - "metro2/pop2/leafA/leafA2|metro2/pop2/leafA/leafA3|0", "metro2/pop1/leafD/leafD2|metro2/pop1/leafD/leafD4|0", - "metro1/pop1/leafC/leafC3|metro1/pop1/leafC/leafC4|0" + "metro1/pop1/leafC/leafC3|metro1/pop1/leafC/leafC4|0", + "metro2/pop2/leafA/leafA2|metro2/pop2/leafA/leafA3|0" ] }, "failure_trace": null, @@ -17113,9 +17113,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro2/pop1/leafA/leafA4|metro2/dc1/dc/dc|0", + "metro5/pop1/leafB/leafB2|metro5/dc1/dc/dc|0", "metro1/pop2/leafC/leafC2|metro1/dc1/dc/dc|0", - "metro5/pop1/leafB/leafB2|metro5/dc1/dc/dc|0" + "metro2/pop1/leafA/leafA4|metro2/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -17348,9 +17348,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro5/pop2/leafA/leafA1|metro5/dc1/dc/dc|0", "metro2/pop2/leafD/leafD3|metro2/dc1/dc/dc|0", - "metro2/pop1/leafB/leafB3|metro2/dc1/dc/dc|0" + "metro2/pop1/leafB/leafB3|metro2/dc1/dc/dc|0", + "metro5/pop2/leafA/leafA1|metro5/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -17470,9 +17470,9 @@ "excluded_nodes": [], "excluded_links": [ "metro5/pop2/leafA/leafA1|metro5/pop2/leafA/leafA3|0", - "metro1/pop1/leafD/leafD1|metro1/pop1/leafD/leafD4|0", "metro1/pop2/leafA/leafA1|metro1/pop2/leafB/leafB1|0", - "metro1/pop1/leafA/leafA1|metro1/pop1/leafA/leafA4|0" + "metro1/pop1/leafA/leafA1|metro1/pop1/leafA/leafA4|0", + "metro1/pop1/leafD/leafD1|metro1/pop1/leafD/leafD4|0" ] }, "failure_trace": null, @@ -17584,8 +17584,8 @@ "excluded_nodes": [], "excluded_links": [ "metro2/pop1/leafB/leafB1|metro2/dc1/dc/dc|0", - "metro5/pop1/leafA/leafA3|metro5/dc1/dc/dc|0", - "metro1/pop1/leafC/leafC4|metro1/dc1/dc/dc|0" + "metro1/pop1/leafC/leafC4|metro1/dc1/dc/dc|0", + "metro5/pop1/leafA/leafA3|metro5/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -17705,8 +17705,8 @@ "excluded_nodes": [], "excluded_links": [ "metro2/pop1/leafD/leafD2|metro2/dc1/dc/dc|0", - "metro2/pop1/leafA/leafA4|metro2/dc1/dc/dc|0", - "metro5/pop2/leafC/leafC3|metro5/dc1/dc/dc|0" + "metro5/pop2/leafC/leafC3|metro5/dc1/dc/dc|0", + "metro2/pop1/leafA/leafA4|metro2/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -17825,9 +17825,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro5/pop1/leafB/leafB4|metro5/dc1/dc/dc|0", + "metro5/pop2/leafA/leafA2|metro5/dc1/dc/dc|0", "metro2/pop2/leafA/leafA1|metro2/dc1/dc/dc|0", - "metro5/pop2/leafA/leafA2|metro5/dc1/dc/dc|0" + "metro5/pop1/leafB/leafB4|metro5/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -17948,8 +17948,8 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro1/pop2/leafA/leafA1|metro1/dc1/dc/dc|0", "metro1/pop2/leafB/leafB1|metro1/dc1/dc/dc|0", + "metro1/pop2/leafA/leafA1|metro1/dc1/dc/dc|0", "metro2/pop1/leafD/leafD1|metro2/dc1/dc/dc|0" ] }, @@ -18069,9 +18069,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ + "metro2/pop1/leafC/leafC4|metro2/dc1/dc/dc|0", "metro5/pop2/leafA/leafA4|metro5/dc1/dc/dc|0", - "metro5/pop2/leafA/leafA3|metro5/dc1/dc/dc|0", - "metro2/pop1/leafC/leafC4|metro2/dc1/dc/dc|0" + "metro5/pop2/leafA/leafA3|metro5/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -18422,8 +18422,8 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro1/pop1/leafA/leafA2|metro1/dc1/dc/dc|0", "metro5/pop2/leafB/leafB1|metro5/dc1/dc/dc|0", + "metro1/pop1/leafA/leafA2|metro1/dc1/dc/dc|0", "metro1/pop2/leafC/leafC3|metro1/dc1/dc/dc|0" ] }, @@ -18656,8 +18656,8 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro5/pop2/leafA/leafA3|metro5/dc1/dc/dc|0", "metro2/pop1/leafC/leafC3|metro2/dc1/dc/dc|0", + "metro5/pop2/leafA/leafA3|metro5/dc1/dc/dc|0", "metro2/pop2/leafD/leafD1|metro2/dc1/dc/dc|0" ] }, @@ -18781,9 +18781,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro5/pop1/leafB/leafB2|metro5/dc1/dc/dc|0", + "metro5/pop2/leafB/leafB3|metro5/dc1/dc/dc|0", "metro5/pop2/leafD/leafD4|metro5/dc1/dc/dc|0", - "metro5/pop2/leafB/leafB3|metro5/dc1/dc/dc|0" + "metro5/pop1/leafB/leafB2|metro5/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -18900,9 +18900,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ + "metro5/pop1/leafB/leafB2|metro5/dc1/dc/dc|0", "metro5/pop1/leafB/leafB4|metro5/dc1/dc/dc|0", - "metro2/pop2/leafD/leafD2|metro2/dc1/dc/dc|0", - "metro5/pop1/leafB/leafB2|metro5/dc1/dc/dc|0" + "metro2/pop2/leafD/leafD2|metro2/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -19145,9 +19145,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ + "metro2/pop1/leafB/leafB3|metro2/dc1/dc/dc|0", "metro1/pop2/leafB/leafB4|metro1/dc1/dc/dc|0", - "metro1/pop1/leafA/leafA3|metro1/dc1/dc/dc|0", - "metro2/pop1/leafB/leafB3|metro2/dc1/dc/dc|0" + "metro1/pop1/leafA/leafA3|metro1/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -19380,10 +19380,10 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro1/pop1/leafA/leafA3|metro1/pop1/leafB/leafB3|0", - "metro1/pop1/leafD/leafD2|metro1/pop1/leafD/leafD4|0", + "metro2/pop1/leafB/leafB3|metro2/pop1/leafB/leafB4|0", "metro5/pop1/leafA/leafA3|metro5/pop1/leafA/leafA4|0", - "metro2/pop1/leafB/leafB3|metro2/pop1/leafB/leafB4|0" + "metro1/pop1/leafD/leafD2|metro1/pop1/leafD/leafD4|0", + "metro1/pop1/leafA/leafA3|metro1/pop1/leafB/leafB3|0" ] }, "failure_trace": null, @@ -19494,9 +19494,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro2/pop2/leafD/leafD4|metro2/dc1/dc/dc|0", "metro1/pop1/leafD/leafD1|metro1/dc1/dc/dc|0", - "metro1/pop1/leafC/leafC3|metro1/dc1/dc/dc|0" + "metro1/pop1/leafC/leafC3|metro1/dc1/dc/dc|0", + "metro2/pop2/leafD/leafD4|metro2/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -19618,10 +19618,10 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro1/pop2/leafB/leafB4|metro1/pop2/leafC/leafC4|0", + "metro5/pop1/leafB/leafB2|metro5/pop1/leafB/leafB4|0", "metro5/pop1/leafB/leafB1|metro5/pop1/leafC/leafC1|0", - "metro1/pop2/leafA/leafA3|metro1/pop2/leafA/leafA4|0", - "metro5/pop1/leafB/leafB2|metro5/pop1/leafB/leafB4|0" + "metro1/pop2/leafB/leafB4|metro1/pop2/leafC/leafC4|0", + "metro1/pop2/leafA/leafA3|metro1/pop2/leafA/leafA4|0" ] }, "failure_trace": null, @@ -19732,8 +19732,8 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro1/pop1/leafC/leafC1|metro1/dc1/dc/dc|0", "metro1/pop1/leafC/leafC2|metro1/dc1/dc/dc|0", + "metro1/pop1/leafC/leafC1|metro1/dc1/dc/dc|0", "metro2/pop2/leafC/leafC3|metro2/dc1/dc/dc|0" ] }, @@ -19858,8 +19858,8 @@ "excluded_nodes": [], "excluded_links": [ "metro1/pop1/leafC/leafC4|metro1/dc1/dc/dc|0", - "metro1/pop1/leafD/leafD3|metro1/dc1/dc/dc|0", - "metro2/pop1/leafB/leafB2|metro2/dc1/dc/dc|0" + "metro2/pop1/leafB/leafB2|metro2/dc1/dc/dc|0", + "metro1/pop1/leafD/leafD3|metro1/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -20204,8 +20204,8 @@ "excluded_links": [ "metro2/pop2/leafA/leafA4|metro2/pop2/leafB/leafB4|0", "metro5/pop2/leafB/leafB2|metro5/pop2/leafB/leafB3|0", - "metro1/pop1/leafB/leafB1|metro1/pop1/leafB/leafB3|0", - "metro1/pop2/leafB/leafB3|metro1/pop2/leafB/leafB4|0" + "metro1/pop2/leafB/leafB3|metro1/pop2/leafB/leafB4|0", + "metro1/pop1/leafB/leafB1|metro1/pop1/leafB/leafB3|0" ] }, "failure_trace": null, @@ -20316,9 +20316,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro2/pop1/leafA/leafA4|metro2/dc1/dc/dc|0", "metro1/pop2/leafB/leafB1|metro1/dc1/dc/dc|0", - "metro2/pop2/leafB/leafB2|metro2/dc1/dc/dc|0" + "metro2/pop2/leafB/leafB2|metro2/dc1/dc/dc|0", + "metro2/pop1/leafA/leafA4|metro2/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -20783,9 +20783,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ + "metro2/pop1/leafA/leafA1|metro2/dc1/dc/dc|0", "metro5/pop2/leafA/leafA3|metro5/dc1/dc/dc|0", - "metro1/pop2/leafD/leafD3|metro1/dc1/dc/dc|0", - "metro2/pop1/leafA/leafA1|metro2/dc1/dc/dc|0" + "metro1/pop2/leafD/leafD3|metro1/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -20902,9 +20902,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro5/pop1/leafB/leafB2|metro5/pop1/leafC/leafC2|0", - "metro5/pop2/leafB/leafB3|metro5/pop2/leafB/leafB4|0", "metro2/pop1/leafB/leafB4|metro2/pop1/leafC/leafC4|0", + "metro5/pop2/leafB/leafB3|metro5/pop2/leafB/leafB4|0", + "metro5/pop1/leafB/leafB2|metro5/pop1/leafC/leafC2|0", "metro5/pop1/leafA/leafA2|metro5/pop1/leafA/leafA4|0" ] }, @@ -21016,9 +21016,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro2/pop1/leafA/leafA4|metro2/dc1/dc/dc|0", + "metro5/pop2/leafB/leafB1|metro5/dc1/dc/dc|0", "metro2/pop1/leafD/leafD4|metro2/dc1/dc/dc|0", - "metro5/pop2/leafB/leafB1|metro5/dc1/dc/dc|0" + "metro2/pop1/leafA/leafA4|metro2/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -21135,9 +21135,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro2/pop2/leafB/leafB1|metro2/dc1/dc/dc|0", "metro2/pop2/leafA/leafA4|metro2/dc1/dc/dc|0", - "metro2/pop2/leafC/leafC2|metro2/dc1/dc/dc|0" + "metro2/pop2/leafC/leafC2|metro2/dc1/dc/dc|0", + "metro2/pop2/leafB/leafB1|metro2/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -21371,10 +21371,10 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ + "metro2/pop2/leafC/leafC4|metro2/pop2/leafD/leafD4|0", "metro5/pop2/leafC/leafC1|metro5/pop2/leafD/leafD1|0", - "metro1/pop2/leafC/leafC2|metro1/pop2/leafC/leafC3|0", "metro2/pop1/leafD/leafD1|metro2/pop1/leafD/leafD2|0", - "metro2/pop2/leafC/leafC4|metro2/pop2/leafD/leafD4|0" + "metro1/pop2/leafC/leafC2|metro1/pop2/leafC/leafC3|0" ] }, "failure_trace": null, @@ -21485,9 +21485,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro2/pop1/leafD/leafD4|metro2/dc1/dc/dc|0", + "metro1/pop2/leafD/leafD1|metro1/dc1/dc/dc|0", "metro2/pop2/leafC/leafC3|metro2/dc1/dc/dc|0", - "metro1/pop2/leafD/leafD1|metro1/dc1/dc/dc|0" + "metro2/pop1/leafD/leafD4|metro2/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -21725,8 +21725,8 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro5/pop1/leafB/leafB4|metro5/dc1/dc/dc|0", "metro5/pop2/leafD/leafD4|metro5/dc1/dc/dc|0", + "metro5/pop1/leafB/leafB4|metro5/dc1/dc/dc|0", "metro1/pop2/leafC/leafC2|metro1/dc1/dc/dc|0" ] }, @@ -21847,8 +21847,8 @@ "excluded_nodes": [], "excluded_links": [ "metro5/pop2/leafC/leafC4|metro5/dc1/dc/dc|0", - "metro1/pop1/leafC/leafC2|metro1/dc1/dc/dc|0", - "metro1/pop1/leafB/leafB3|metro1/dc1/dc/dc|0" + "metro1/pop1/leafB/leafB3|metro1/dc1/dc/dc|0", + "metro1/pop1/leafC/leafC2|metro1/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -21965,10 +21965,10 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro1/pop1/leafA/leafA3|metro1/pop1/leafA/leafA4|0", "metro1/pop2/leafA/leafA1|metro1/pop2/leafA/leafA3|0", - "metro2/pop2/leafA/leafA1|metro2/pop2/leafA/leafA4|0", - "metro2/pop1/leafA/leafA3|metro2/pop1/leafA/leafA4|0" + "metro1/pop1/leafA/leafA3|metro1/pop1/leafA/leafA4|0", + "metro2/pop1/leafA/leafA3|metro2/pop1/leafA/leafA4|0", + "metro2/pop2/leafA/leafA1|metro2/pop2/leafA/leafA4|0" ] }, "failure_trace": null, @@ -22080,9 +22080,9 @@ "excluded_nodes": [], "excluded_links": [ "metro5/pop2/leafA/leafA2|metro5/pop2/leafA/leafA3|0", + "metro5/pop2/leafC/leafC1|metro5/pop2/leafC/leafC4|0", "metro1/pop2/leafB/leafB1|metro1/pop2/leafB/leafB2|0", - "metro1/pop2/leafB/leafB2|metro1/pop2/leafB/leafB3|0", - "metro5/pop2/leafC/leafC1|metro5/pop2/leafC/leafC4|0" + "metro1/pop2/leafB/leafB2|metro1/pop2/leafB/leafB3|0" ] }, "failure_trace": null, @@ -22194,8 +22194,8 @@ "excluded_nodes": [], "excluded_links": [ "metro5/pop1/leafA/leafA4|metro5/dc1/dc/dc|0", - "metro5/pop2/leafD/leafD3|metro5/dc1/dc/dc|0", - "metro2/pop1/leafC/leafC4|metro2/dc1/dc/dc|0" + "metro2/pop1/leafC/leafC4|metro2/dc1/dc/dc|0", + "metro5/pop2/leafD/leafD3|metro5/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -22316,8 +22316,8 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro1/pop2/leafB/leafB4|metro1/dc1/dc/dc|0", "metro1/pop1/leafD/leafD4|metro1/dc1/dc/dc|0", + "metro1/pop2/leafB/leafB4|metro1/dc1/dc/dc|0", "metro2/pop2/leafD/leafD4|metro2/dc1/dc/dc|0" ] }, @@ -22440,9 +22440,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro1/pop1/leafA/leafA3|metro1/dc1/dc/dc|0", + "metro5/pop1/leafB/leafB1|metro5/dc1/dc/dc|0", "metro2/pop2/leafC/leafC4|metro2/dc1/dc/dc|0", - "metro5/pop1/leafB/leafB1|metro5/dc1/dc/dc|0" + "metro1/pop1/leafA/leafA3|metro1/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -22683,9 +22683,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ + "metro2/pop2/leafC/leafC1|metro2/dc1/dc/dc|0", "metro5/pop2/leafB/leafB2|metro5/dc1/dc/dc|0", - "metro1/pop2/leafC/leafC2|metro1/dc1/dc/dc|0", - "metro2/pop2/leafC/leafC1|metro2/dc1/dc/dc|0" + "metro1/pop2/leafC/leafC2|metro1/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -23029,8 +23029,8 @@ "excluded_nodes": [], "excluded_links": [ "metro5/pop1/leafA/leafA2|metro5/dc1/dc/dc|0", - "metro1/pop2/leafC/leafC2|metro1/dc1/dc/dc|0", - "metro2/pop1/leafB/leafB2|metro2/dc1/dc/dc|0" + "metro2/pop1/leafB/leafB2|metro2/dc1/dc/dc|0", + "metro1/pop2/leafC/leafC2|metro1/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -23150,9 +23150,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro5/pop2/leafB/leafB4|metro5/dc1/dc/dc|0", "metro2/pop2/leafA/leafA4|metro2/dc1/dc/dc|0", - "metro2/pop2/leafD/leafD4|metro2/dc1/dc/dc|0" + "metro2/pop2/leafD/leafD4|metro2/dc1/dc/dc|0", + "metro5/pop2/leafB/leafB4|metro5/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -23270,10 +23270,10 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro2/pop1/leafA/leafA3|metro2/pop1/leafB/leafB3|0", "metro2/pop1/leafC/leafC2|metro2/pop1/leafC/leafC4|0", "metro5/pop2/leafD/leafD2|metro5/pop2/leafD/leafD4|0", - "metro1/pop2/leafC/leafC4|metro1/pop2/leafD/leafD4|0" + "metro1/pop2/leafC/leafC4|metro1/pop2/leafD/leafD4|0", + "metro2/pop1/leafA/leafA3|metro2/pop1/leafB/leafB3|0" ] }, "failure_trace": null, @@ -23616,9 +23616,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ + "metro5/pop2/leafB/leafB3|metro5/dc1/dc/dc|0", "metro1/pop2/leafA/leafA3|metro1/dc1/dc/dc|0", - "metro1/pop2/leafC/leafC2|metro1/dc1/dc/dc|0", - "metro5/pop2/leafB/leafB3|metro5/dc1/dc/dc|0" + "metro1/pop2/leafC/leafC2|metro1/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -23852,9 +23852,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro5/pop2/leafC/leafC2|metro5/dc1/dc/dc|0", "metro1/pop1/leafD/leafD4|metro1/dc1/dc/dc|0", - "metro5/pop2/leafB/leafB3|metro5/dc1/dc/dc|0" + "metro5/pop2/leafB/leafB3|metro5/dc1/dc/dc|0", + "metro5/pop2/leafC/leafC2|metro5/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -23971,9 +23971,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ + "metro2/pop2/leafC/leafC1|metro2/dc1/dc/dc|0", "metro1/pop1/leafC/leafC2|metro1/dc1/dc/dc|0", - "metro5/pop2/leafD/leafD1|metro5/dc1/dc/dc|0", - "metro2/pop2/leafC/leafC1|metro2/dc1/dc/dc|0" + "metro5/pop2/leafD/leafD1|metro5/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -24209,9 +24209,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro1/pop2/leafA/leafA3|metro1/dc1/dc/dc|0", "metro1/pop2/leafC/leafC1|metro1/dc1/dc/dc|0", - "metro2/pop2/leafC/leafC2|metro2/dc1/dc/dc|0" + "metro2/pop2/leafC/leafC2|metro2/dc1/dc/dc|0", + "metro1/pop2/leafA/leafA3|metro1/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -24330,9 +24330,9 @@ "excluded_nodes": [], "excluded_links": [ "metro2/pop2/leafA/leafA4|metro2/pop2/leafB/leafB4|0", + "metro2/pop2/leafD/leafD1|metro2/pop2/leafD/leafD2|0", "metro2/pop1/leafC/leafC3|metro2/pop1/leafD/leafD3|0", - "metro1/pop1/leafA/leafA3|metro1/pop1/leafD/leafD3|0", - "metro2/pop2/leafD/leafD1|metro2/pop2/leafD/leafD2|0" + "metro1/pop1/leafA/leafA3|metro1/pop1/leafD/leafD3|0" ] }, "failure_trace": null, @@ -24444,8 +24444,8 @@ "excluded_nodes": [], "excluded_links": [ "metro1/pop2/leafA/leafA3|metro1/dc1/dc/dc|0", - "metro2/pop1/leafD/leafD4|metro2/dc1/dc/dc|0", - "metro1/pop1/leafD/leafD1|metro1/dc1/dc/dc|0" + "metro1/pop1/leafD/leafD1|metro1/dc1/dc/dc|0", + "metro2/pop1/leafD/leafD4|metro2/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -24564,9 +24564,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro2/pop2/leafC/leafC4|metro2/dc1/dc/dc|0", "metro2/pop1/leafC/leafC2|metro2/dc1/dc/dc|0", - "metro2/pop1/leafA/leafA1|metro2/dc1/dc/dc|0" + "metro2/pop1/leafA/leafA1|metro2/dc1/dc/dc|0", + "metro2/pop2/leafC/leafC4|metro2/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -24685,9 +24685,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ + "metro5/pop1/leafB/leafB1|metro5/dc1/dc/dc|0", "metro2/pop1/leafD/leafD1|metro2/dc1/dc/dc|0", - "metro2/pop2/leafC/leafC1|metro2/dc1/dc/dc|0", - "metro5/pop1/leafB/leafB1|metro5/dc1/dc/dc|0" + "metro2/pop2/leafC/leafC1|metro2/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -24925,9 +24925,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ + "metro5/pop2/leafA/leafA1|metro5/pop2/leafD/leafD1|0", "metro5/pop2/leafC/leafC2|metro5/pop2/leafC/leafC4|0", "metro2/pop1/leafA/leafA1|metro2/pop1/leafD/leafD1|0", - "metro5/pop2/leafA/leafA1|metro5/pop2/leafD/leafD1|0", "metro5/pop2/leafA/leafA4|metro5/pop2/leafD/leafD4|0" ] }, @@ -25380,8 +25380,8 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro2/pop2/leafA/leafA4|metro2/pop2/leafB/leafB4|0", "metro5/pop2/leafB/leafB1|metro5/pop2/leafB/leafB3|0", + "metro2/pop2/leafA/leafA4|metro2/pop2/leafB/leafB4|0", "metro2/pop1/leafA/leafA1|metro2/pop1/leafD/leafD1|0", "metro5/pop2/leafB/leafB2|metro5/pop2/leafC/leafC2|0" ] @@ -25609,8 +25609,8 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro1/pop1/leafA/leafA2|metro1/dc1/dc/dc|0", "metro1/pop2/leafB/leafB1|metro1/dc1/dc/dc|0", + "metro1/pop1/leafA/leafA2|metro1/dc1/dc/dc|0", "metro1/pop1/leafB/leafB1|metro1/dc1/dc/dc|0" ] }, @@ -25730,9 +25730,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro2/pop2/leafB/leafB1|metro2/pop2/leafB/leafB2|0", "metro1/pop1/leafB/leafB1|metro1/pop1/leafB/leafB2|0", "metro1/pop2/leafA/leafA1|metro1/pop2/leafB/leafB1|0", + "metro2/pop2/leafB/leafB1|metro2/pop2/leafB/leafB2|0", "metro5/pop2/leafB/leafB2|metro5/pop2/leafB/leafB3|0" ] }, @@ -25958,9 +25958,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro2/pop1/leafA/leafA4|metro2/dc1/dc/dc|0", + "metro5/pop1/leafD/leafD1|metro5/dc1/dc/dc|0", "metro5/pop2/leafC/leafC3|metro5/dc1/dc/dc|0", - "metro5/pop1/leafD/leafD1|metro5/dc1/dc/dc|0" + "metro2/pop1/leafA/leafA4|metro2/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -26079,8 +26079,8 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro5/pop2/leafA/leafA4|metro5/dc1/dc/dc|0", "metro2/pop1/leafA/leafA3|metro2/dc1/dc/dc|0", + "metro5/pop2/leafA/leafA4|metro5/dc1/dc/dc|0", "metro2/pop1/leafA/leafA2|metro2/dc1/dc/dc|0" ] }, @@ -26196,9 +26196,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro5/pop1/leafB/leafB4|metro5/dc1/dc/dc|0", + "metro2/pop2/leafD/leafD3|metro2/dc1/dc/dc|0", "metro2/pop1/leafD/leafD1|metro2/dc1/dc/dc|0", - "metro2/pop2/leafD/leafD3|metro2/dc1/dc/dc|0" + "metro5/pop1/leafB/leafB4|metro5/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -26323,9 +26323,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ + "metro5/pop2/leafC/leafC4|metro5/dc1/dc/dc|0", "metro5/pop1/leafB/leafB4|metro5/dc1/dc/dc|0", - "metro2/pop1/leafA/leafA4|metro2/dc1/dc/dc|0", - "metro5/pop2/leafC/leafC4|metro5/dc1/dc/dc|0" + "metro2/pop1/leafA/leafA4|metro2/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -26444,10 +26444,10 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ + "metro1/pop2/leafA/leafA4|metro1/pop2/leafB/leafB4|0", "metro1/pop1/leafC/leafC1|metro1/pop1/leafC/leafC2|0", - "metro1/pop2/leafC/leafC2|metro1/pop2/leafC/leafC3|0", "metro5/pop2/leafA/leafA2|metro5/pop2/leafD/leafD2|0", - "metro1/pop2/leafA/leafA4|metro1/pop2/leafB/leafB4|0" + "metro1/pop2/leafC/leafC2|metro1/pop2/leafC/leafC3|0" ] }, "failure_trace": null, @@ -26559,9 +26559,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro5/pop2/leafD/leafD1|metro5/dc1/dc/dc|0", "metro1/pop2/leafC/leafC1|metro1/dc1/dc/dc|0", - "metro2/pop1/leafB/leafB2|metro2/dc1/dc/dc|0" + "metro2/pop1/leafB/leafB2|metro2/dc1/dc/dc|0", + "metro5/pop2/leafD/leafD1|metro5/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -26793,9 +26793,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ + "metro5/pop2/leafC/leafC2|metro5/pop2/leafC/leafC4|0", "metro1/pop1/leafC/leafC1|metro1/pop1/leafD/leafD1|0", "metro2/pop1/leafC/leafC2|metro2/pop1/leafC/leafC3|0", - "metro5/pop2/leafC/leafC2|metro5/pop2/leafC/leafC4|0", "metro5/pop1/leafB/leafB1|metro5/pop1/leafB/leafB3|0" ] }, @@ -27030,8 +27030,8 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro1/pop1/leafD/leafD1|metro1/dc1/dc/dc|0", "metro2/pop1/leafB/leafB4|metro2/dc1/dc/dc|0", + "metro1/pop1/leafD/leafD1|metro1/dc1/dc/dc|0", "metro5/pop2/leafC/leafC2|metro5/dc1/dc/dc|0" ] }, @@ -27152,8 +27152,8 @@ "excluded_nodes": [], "excluded_links": [ "metro1/pop1/leafA/leafA1|metro1/dc1/dc/dc|0", - "metro2/pop2/leafB/leafB1|metro2/dc1/dc/dc|0", - "metro1/pop1/leafA/leafA3|metro1/dc1/dc/dc|0" + "metro1/pop1/leafA/leafA3|metro1/dc1/dc/dc|0", + "metro2/pop2/leafB/leafB1|metro2/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -27275,8 +27275,8 @@ "excluded_nodes": [], "excluded_links": [ "metro5/pop2/leafC/leafC4|metro5/dc1/dc/dc|0", - "metro2/pop1/leafC/leafC3|metro2/dc1/dc/dc|0", - "metro1/pop1/leafB/leafB3|metro1/dc1/dc/dc|0" + "metro1/pop1/leafB/leafB3|metro1/dc1/dc/dc|0", + "metro2/pop1/leafC/leafC3|metro2/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -27395,10 +27395,10 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro5/pop2/leafD/leafD3|metro5/pop2/leafD/leafD4|0", "metro5/pop1/leafC/leafC3|metro5/pop1/leafC/leafC4|0", "metro2/pop2/leafA/leafA2|metro2/pop2/leafA/leafA4|0", - "metro2/pop1/leafC/leafC2|metro2/pop1/leafC/leafC3|0" + "metro2/pop1/leafC/leafC2|metro2/pop1/leafC/leafC3|0", + "metro5/pop2/leafD/leafD3|metro5/pop2/leafD/leafD4|0" ] }, "failure_trace": null, @@ -27509,8 +27509,8 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro5/pop2/leafA/leafA3|metro5/dc1/dc/dc|0", "metro1/pop2/leafB/leafB1|metro1/dc1/dc/dc|0", + "metro5/pop2/leafA/leafA3|metro5/dc1/dc/dc|0", "metro2/pop2/leafC/leafC3|metro2/dc1/dc/dc|0" ] }, @@ -27629,9 +27629,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro5/pop2/leafA/leafA3|metro5/dc1/dc/dc|0", "metro2/pop2/leafA/leafA3|metro2/dc1/dc/dc|0", - "metro5/pop1/leafB/leafB3|metro5/dc1/dc/dc|0" + "metro5/pop1/leafB/leafB3|metro5/dc1/dc/dc|0", + "metro5/pop2/leafA/leafA3|metro5/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -27985,8 +27985,8 @@ "excluded_nodes": [], "excluded_links": [ "metro1/pop1/leafC/leafC4|metro1/dc1/dc/dc|0", - "metro1/pop2/leafD/leafD3|metro1/dc1/dc/dc|0", - "metro5/pop2/leafA/leafA3|metro5/dc1/dc/dc|0" + "metro5/pop2/leafA/leafA3|metro5/dc1/dc/dc|0", + "metro1/pop2/leafD/leafD3|metro1/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -28105,9 +28105,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro2/pop1/leafA/leafA4|metro2/dc1/dc/dc|0", + "metro2/pop2/leafA/leafA3|metro2/dc1/dc/dc|0", "metro1/pop2/leafC/leafC1|metro1/dc1/dc/dc|0", - "metro2/pop2/leafA/leafA3|metro2/dc1/dc/dc|0" + "metro2/pop1/leafA/leafA4|metro2/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -28340,8 +28340,8 @@ "excluded_nodes": [], "excluded_links": [ "metro1/pop1/leafA/leafA2|metro1/dc1/dc/dc|0", - "metro5/pop1/leafA/leafA3|metro5/dc1/dc/dc|0", - "metro1/pop2/leafD/leafD2|metro1/dc1/dc/dc|0" + "metro1/pop2/leafD/leafD2|metro1/dc1/dc/dc|0", + "metro5/pop1/leafA/leafA3|metro5/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -28462,8 +28462,8 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro5/pop2/leafD/leafD2|metro5/dc1/dc/dc|0", "metro1/pop1/leafC/leafC2|metro1/dc1/dc/dc|0", + "metro5/pop2/leafD/leafD2|metro5/dc1/dc/dc|0", "metro2/pop2/leafD/leafD2|metro2/dc1/dc/dc|0" ] }, @@ -28586,8 +28586,8 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro5/pop2/leafB/leafB2|metro5/dc1/dc/dc|0", "metro5/pop1/leafB/leafB2|metro5/dc1/dc/dc|0", + "metro5/pop2/leafB/leafB2|metro5/dc1/dc/dc|0", "metro1/pop2/leafC/leafC3|metro1/dc1/dc/dc|0" ] }, @@ -28707,9 +28707,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro1/pop2/leafA/leafA2|metro1/dc1/dc/dc|0", "metro2/pop2/leafD/leafD1|metro2/dc1/dc/dc|0", - "metro1/pop1/leafC/leafC3|metro1/dc1/dc/dc|0" + "metro1/pop1/leafC/leafC3|metro1/dc1/dc/dc|0", + "metro1/pop2/leafA/leafA2|metro1/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -28832,8 +28832,8 @@ "excluded_nodes": [], "excluded_links": [ "metro5/pop1/leafA/leafA2|metro5/dc1/dc/dc|0", - "metro2/pop2/leafC/leafC3|metro2/dc1/dc/dc|0", - "metro1/pop2/leafC/leafC1|metro1/dc1/dc/dc|0" + "metro1/pop2/leafC/leafC1|metro1/dc1/dc/dc|0", + "metro2/pop2/leafC/leafC3|metro2/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -28956,9 +28956,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro2/pop1/leafA/leafA4|metro2/dc1/dc/dc|0", "metro5/pop1/leafB/leafB3|metro5/dc1/dc/dc|0", - "metro1/pop1/leafC/leafC3|metro1/dc1/dc/dc|0" + "metro1/pop1/leafC/leafC3|metro1/dc1/dc/dc|0", + "metro2/pop1/leafA/leafA4|metro2/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -29304,10 +29304,10 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro1/pop1/leafB/leafB3|metro1/pop1/leafC/leafC3|0", "metro5/pop1/leafA/leafA1|metro5/pop1/leafD/leafD1|0", "metro2/pop2/leafD/leafD1|metro2/pop2/leafD/leafD2|0", - "metro5/pop1/leafC/leafC3|metro5/pop1/leafD/leafD3|0" + "metro5/pop1/leafC/leafC3|metro5/pop1/leafD/leafD3|0", + "metro1/pop1/leafB/leafB3|metro1/pop1/leafC/leafC3|0" ] }, "failure_trace": null, @@ -29418,9 +29418,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro1/pop1/leafA/leafA1|metro1/dc1/dc/dc|0", "metro2/pop2/leafD/leafD4|metro2/dc1/dc/dc|0", - "metro1/pop1/leafB/leafB3|metro1/dc1/dc/dc|0" + "metro1/pop1/leafB/leafB3|metro1/dc1/dc/dc|0", + "metro1/pop1/leafA/leafA1|metro1/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -29542,8 +29542,8 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro1/pop1/leafC/leafC4|metro1/dc1/dc/dc|0", "metro2/pop1/leafB/leafB4|metro2/dc1/dc/dc|0", + "metro1/pop1/leafC/leafC4|metro1/dc1/dc/dc|0", "metro1/pop2/leafC/leafC3|metro1/dc1/dc/dc|0" ] }, @@ -29668,9 +29668,9 @@ "excluded_nodes": [], "excluded_links": [ "metro2/pop1/leafD/leafD3|metro2/pop1/leafD/leafD4|0", - "metro5/pop2/leafB/leafB2|metro5/pop2/leafB/leafB3|0", "metro2/pop2/leafA/leafA3|metro2/pop2/leafB/leafB3|0", - "metro5/pop2/leafD/leafD1|metro5/pop2/leafD/leafD2|0" + "metro5/pop2/leafD/leafD1|metro5/pop2/leafD/leafD2|0", + "metro5/pop2/leafB/leafB2|metro5/pop2/leafB/leafB3|0" ] }, "failure_trace": null, @@ -29781,9 +29781,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro2/pop1/leafD/leafD4|metro2/dc1/dc/dc|0", + "metro2/pop1/leafB/leafB3|metro2/dc1/dc/dc|0", "metro1/pop1/leafC/leafC2|metro1/dc1/dc/dc|0", - "metro2/pop1/leafB/leafB3|metro2/dc1/dc/dc|0" + "metro2/pop1/leafD/leafD4|metro2/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -29902,9 +29902,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro1/pop1/leafA/leafA3|metro1/dc1/dc/dc|0", "metro5/pop1/leafD/leafD2|metro5/dc1/dc/dc|0", - "metro2/pop2/leafA/leafA3|metro2/dc1/dc/dc|0" + "metro2/pop2/leafA/leafA3|metro2/dc1/dc/dc|0", + "metro1/pop1/leafA/leafA3|metro1/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -30028,9 +30028,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ + "metro2/pop2/leafC/leafC2|metro2/dc1/dc/dc|0", "metro1/pop1/leafA/leafA2|metro1/dc1/dc/dc|0", - "metro1/pop1/leafB/leafB4|metro1/dc1/dc/dc|0", - "metro2/pop2/leafC/leafC2|metro2/dc1/dc/dc|0" + "metro1/pop1/leafB/leafB4|metro1/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -30151,9 +30151,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro5/pop2/leafD/leafD2|metro5/dc1/dc/dc|0", "metro5/pop1/leafD/leafD3|metro5/dc1/dc/dc|0", - "metro2/pop1/leafB/leafB2|metro2/dc1/dc/dc|0" + "metro2/pop1/leafB/leafB2|metro2/dc1/dc/dc|0", + "metro5/pop2/leafD/leafD2|metro5/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -30396,9 +30396,9 @@ "excluded_nodes": [], "excluded_links": [ "metro5/pop1/leafB/leafB1|metro5/pop1/leafB/leafB2|0", - "metro5/pop2/leafA/leafA2|metro5/pop2/leafD/leafD2|0", "metro2/pop1/leafA/leafA2|metro2/pop1/leafD/leafD2|0", - "metro5/pop2/leafD/leafD2|metro5/pop2/leafD/leafD3|0" + "metro5/pop2/leafD/leafD2|metro5/pop2/leafD/leafD3|0", + "metro5/pop2/leafA/leafA2|metro5/pop2/leafD/leafD2|0" ] }, "failure_trace": null, @@ -30623,8 +30623,8 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro1/pop1/leafA/leafA1|metro1/dc1/dc/dc|0", "metro2/pop2/leafC/leafC1|metro2/dc1/dc/dc|0", + "metro1/pop1/leafA/leafA1|metro1/dc1/dc/dc|0", "metro2/pop2/leafB/leafB4|metro2/dc1/dc/dc|0" ] }, @@ -30867,9 +30867,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ + "metro2/pop1/leafC/leafC1|metro2/dc1/dc/dc|0", "metro1/pop2/leafA/leafA1|metro1/dc1/dc/dc|0", - "metro1/pop2/leafC/leafC1|metro1/dc1/dc/dc|0", - "metro2/pop1/leafC/leafC1|metro2/dc1/dc/dc|0" + "metro1/pop2/leafC/leafC1|metro1/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -30985,10 +30985,10 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro2/pop2/leafA/leafA3|metro2/pop2/leafD/leafD3|0", - "metro1/pop1/leafA/leafA4|metro1/pop1/leafD/leafD4|0", "metro1/pop2/leafA/leafA4|metro1/pop2/leafB/leafB4|0", - "metro2/pop2/leafB/leafB1|metro2/pop2/leafB/leafB4|0" + "metro2/pop2/leafB/leafB1|metro2/pop2/leafB/leafB4|0", + "metro2/pop2/leafA/leafA3|metro2/pop2/leafD/leafD3|0", + "metro1/pop1/leafA/leafA4|metro1/pop1/leafD/leafD4|0" ] }, "failure_trace": null, @@ -31099,9 +31099,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ + "metro2/pop1/leafA/leafA1|metro2/dc1/dc/dc|0", "metro1/pop1/leafC/leafC2|metro1/dc1/dc/dc|0", - "metro2/pop2/leafA/leafA2|metro2/dc1/dc/dc|0", - "metro2/pop1/leafA/leafA1|metro2/dc1/dc/dc|0" + "metro2/pop2/leafA/leafA2|metro2/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -31224,9 +31224,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro5/pop2/leafC/leafC3|metro5/dc1/dc/dc|0", + "metro5/pop1/leafD/leafD1|metro5/dc1/dc/dc|0", "metro1/pop1/leafB/leafB1|metro1/dc1/dc/dc|0", - "metro5/pop1/leafD/leafD1|metro5/dc1/dc/dc|0" + "metro5/pop2/leafC/leafC3|metro5/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -31345,9 +31345,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro2/pop1/leafA/leafA4|metro2/dc1/dc/dc|0", + "metro2/pop2/leafD/leafD4|metro2/dc1/dc/dc|0", "metro2/pop2/leafD/leafD1|metro2/dc1/dc/dc|0", - "metro2/pop2/leafD/leafD4|metro2/dc1/dc/dc|0" + "metro2/pop1/leafA/leafA4|metro2/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -31466,9 +31466,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro5/pop1/leafA/leafA1|metro5/dc1/dc/dc|0", + "metro1/pop2/leafA/leafA4|metro1/dc1/dc/dc|0", "metro5/pop2/leafA/leafA1|metro5/dc1/dc/dc|0", - "metro1/pop2/leafA/leafA4|metro1/dc1/dc/dc|0" + "metro5/pop1/leafA/leafA1|metro5/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -31706,10 +31706,10 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ + "metro1/pop2/leafA/leafA3|metro1/pop2/leafD/leafD3|0", "metro5/pop2/leafD/leafD1|metro5/pop2/leafD/leafD2|0", - "metro2/pop2/leafA/leafA1|metro2/pop2/leafA/leafA4|0", "metro1/pop2/leafB/leafB1|metro1/pop2/leafC/leafC1|0", - "metro1/pop2/leafA/leafA3|metro1/pop2/leafD/leafD3|0" + "metro2/pop2/leafA/leafA1|metro2/pop2/leafA/leafA4|0" ] }, "failure_trace": null, @@ -31820,9 +31820,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ + "metro5/pop2/leafD/leafD4|metro5/dc1/dc/dc|0", "metro1/pop1/leafC/leafC1|metro1/dc1/dc/dc|0", - "metro5/pop1/leafB/leafB4|metro5/dc1/dc/dc|0", - "metro5/pop2/leafD/leafD4|metro5/dc1/dc/dc|0" + "metro5/pop1/leafB/leafB4|metro5/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -31941,9 +31941,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ + "metro5/pop1/leafB/leafB3|metro5/dc1/dc/dc|0", "metro2/pop2/leafC/leafC4|metro2/dc1/dc/dc|0", - "metro5/pop2/leafA/leafA2|metro5/dc1/dc/dc|0", - "metro5/pop1/leafB/leafB3|metro5/dc1/dc/dc|0" + "metro5/pop2/leafA/leafA2|metro5/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -32187,8 +32187,8 @@ "excluded_nodes": [], "excluded_links": [ "metro5/pop1/leafA/leafA2|metro5/dc1/dc/dc|0", - "metro1/pop1/leafB/leafB4|metro1/dc1/dc/dc|0", - "metro1/pop1/leafB/leafB3|metro1/dc1/dc/dc|0" + "metro1/pop1/leafB/leafB3|metro1/dc1/dc/dc|0", + "metro1/pop1/leafB/leafB4|metro1/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -32307,8 +32307,8 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro5/pop2/leafD/leafD2|metro5/dc1/dc/dc|0", "metro2/pop1/leafD/leafD2|metro2/dc1/dc/dc|0", + "metro5/pop2/leafD/leafD2|metro5/dc1/dc/dc|0", "metro5/pop2/leafD/leafD3|metro5/dc1/dc/dc|0" ] }, @@ -32428,9 +32428,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro1/pop1/leafB/leafB1|metro1/dc1/dc/dc|0", "metro5/pop2/leafB/leafB3|metro5/dc1/dc/dc|0", - "metro2/pop1/leafB/leafB2|metro2/dc1/dc/dc|0" + "metro2/pop1/leafB/leafB2|metro2/dc1/dc/dc|0", + "metro1/pop1/leafB/leafB1|metro1/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -32549,9 +32549,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro1/pop1/leafD/leafD3|metro1/dc1/dc/dc|0", + "metro5/pop1/leafC/leafC1|metro5/dc1/dc/dc|0", "metro2/pop2/leafB/leafB4|metro2/dc1/dc/dc|0", - "metro5/pop1/leafC/leafC1|metro5/dc1/dc/dc|0" + "metro1/pop1/leafD/leafD3|metro1/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -32674,9 +32674,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro1/pop1/leafC/leafC4|metro1/dc1/dc/dc|0", + "metro5/pop1/leafA/leafA4|metro5/dc1/dc/dc|0", "metro1/pop1/leafC/leafC1|metro1/dc1/dc/dc|0", - "metro5/pop1/leafA/leafA4|metro5/dc1/dc/dc|0" + "metro1/pop1/leafC/leafC4|metro1/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -32906,9 +32906,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ + "metro5/pop1/leafB/leafB3|metro5/dc1/dc/dc|0", "metro2/pop2/leafB/leafB3|metro2/dc1/dc/dc|0", - "metro2/pop2/leafC/leafC2|metro2/dc1/dc/dc|0", - "metro5/pop1/leafB/leafB3|metro5/dc1/dc/dc|0" + "metro2/pop2/leafC/leafC2|metro2/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -33030,9 +33030,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro5/pop2/leafC/leafC3|metro5/dc1/dc/dc|0", "metro2/pop2/leafD/leafD1|metro2/dc1/dc/dc|0", - "metro1/pop1/leafA/leafA4|metro1/dc1/dc/dc|0" + "metro1/pop1/leafA/leafA4|metro1/dc1/dc/dc|0", + "metro5/pop2/leafC/leafC3|metro5/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -33155,8 +33155,8 @@ "excluded_nodes": [], "excluded_links": [ "metro5/pop2/leafA/leafA3|metro5/dc1/dc/dc|0", - "metro5/pop1/leafA/leafA3|metro5/dc1/dc/dc|0", - "metro5/pop1/leafA/leafA1|metro5/dc1/dc/dc|0" + "metro5/pop1/leafA/leafA1|metro5/dc1/dc/dc|0", + "metro5/pop1/leafA/leafA3|metro5/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -33273,8 +33273,8 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro1/pop1/leafA/leafA1|metro1/dc1/dc/dc|0", "metro5/pop2/leafC/leafC4|metro5/dc1/dc/dc|0", + "metro1/pop1/leafA/leafA1|metro1/dc1/dc/dc|0", "metro5/pop1/leafA/leafA4|metro5/dc1/dc/dc|0" ] }, @@ -33394,8 +33394,8 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro5/pop2/leafA/leafA1|metro5/dc1/dc/dc|0", "metro2/pop2/leafC/leafC1|metro2/dc1/dc/dc|0", + "metro5/pop2/leafA/leafA1|metro5/dc1/dc/dc|0", "metro5/pop1/leafB/leafB3|metro5/dc1/dc/dc|0" ] }, @@ -33518,8 +33518,8 @@ "excluded_nodes": [], "excluded_links": [ "metro1/pop1/leafD/leafD4|metro1/dc1/dc/dc|0", - "metro1/pop2/leafC/leafC3|metro1/dc1/dc/dc|0", - "metro5/pop1/leafC/leafC1|metro5/dc1/dc/dc|0" + "metro5/pop1/leafC/leafC1|metro5/dc1/dc/dc|0", + "metro1/pop2/leafC/leafC3|metro1/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -33640,8 +33640,8 @@ "excluded_links": [ "metro1/pop2/leafC/leafC2|metro1/pop2/leafC/leafC4|0", "metro1/pop1/leafA/leafA1|metro1/pop1/leafD/leafD1|0", - "metro1/pop2/leafA/leafA3|metro1/pop2/leafD/leafD3|0", - "metro5/pop1/leafC/leafC3|metro5/pop1/leafD/leafD3|0" + "metro5/pop1/leafC/leafC3|metro5/pop1/leafD/leafD3|0", + "metro1/pop2/leafA/leafA3|metro1/pop2/leafD/leafD3|0" ] }, "failure_trace": null, @@ -33752,9 +33752,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro2/pop1/leafD/leafD4|metro2/dc1/dc/dc|0", "metro2/pop1/leafC/leafC3|metro2/dc1/dc/dc|0", - "metro2/pop1/leafB/leafB2|metro2/dc1/dc/dc|0" + "metro2/pop1/leafB/leafB2|metro2/dc1/dc/dc|0", + "metro2/pop1/leafD/leafD4|metro2/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -33869,9 +33869,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro5/pop2/leafA/leafA1|metro5/dc1/dc/dc|0", "metro5/pop1/leafB/leafB3|metro5/dc1/dc/dc|0", - "metro2/pop2/leafA/leafA3|metro2/dc1/dc/dc|0" + "metro2/pop2/leafA/leafA3|metro2/dc1/dc/dc|0", + "metro5/pop2/leafA/leafA1|metro5/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -33993,8 +33993,8 @@ "excluded_nodes": [], "excluded_links": [ "metro1/pop2/leafA/leafA3|metro1/dc1/dc/dc|0", - "metro2/pop2/leafD/leafD1|metro2/dc1/dc/dc|0", - "metro5/pop1/leafC/leafC3|metro5/dc1/dc/dc|0" + "metro5/pop1/leafC/leafC3|metro5/dc1/dc/dc|0", + "metro2/pop2/leafD/leafD1|metro2/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -34229,8 +34229,8 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro5/pop1/leafC/leafC4|metro5/dc1/dc/dc|0", "metro2/pop2/leafA/leafA2|metro2/dc1/dc/dc|0", + "metro5/pop1/leafC/leafC4|metro5/dc1/dc/dc|0", "metro1/pop2/leafD/leafD2|metro1/dc1/dc/dc|0" ] }, @@ -34353,9 +34353,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro5/pop2/leafA/leafA3|metro5/pop2/leafB/leafB3|0", - "metro2/pop1/leafB/leafB1|metro2/pop1/leafC/leafC1|0", "metro5/pop1/leafD/leafD1|metro5/pop1/leafD/leafD3|0", + "metro2/pop1/leafB/leafB1|metro2/pop1/leafC/leafC1|0", + "metro5/pop2/leafA/leafA3|metro5/pop2/leafB/leafB3|0", "metro2/pop1/leafB/leafB2|metro2/pop1/leafB/leafB3|0" ] }, @@ -34467,8 +34467,8 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro5/pop1/leafD/leafD3|metro5/dc1/dc/dc|0", "metro2/pop1/leafA/leafA1|metro2/dc1/dc/dc|0", + "metro5/pop1/leafD/leafD3|metro5/dc1/dc/dc|0", "metro1/pop2/leafD/leafD4|metro1/dc1/dc/dc|0" ] }, @@ -34588,9 +34588,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ + "metro5/pop1/leafB/leafB3|metro5/dc1/dc/dc|0", "metro1/pop1/leafA/leafA4|metro1/dc1/dc/dc|0", - "metro1/pop2/leafC/leafC3|metro1/dc1/dc/dc|0", - "metro5/pop1/leafB/leafB3|metro5/dc1/dc/dc|0" + "metro1/pop2/leafC/leafC3|metro1/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -34710,9 +34710,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro1/pop2/leafA/leafA3|metro1/dc1/dc/dc|0", "metro5/pop1/leafD/leafD2|metro5/dc1/dc/dc|0", - "metro1/pop2/leafA/leafA4|metro1/dc1/dc/dc|0" + "metro1/pop2/leafA/leafA4|metro1/dc1/dc/dc|0", + "metro1/pop2/leafA/leafA3|metro1/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -34827,10 +34827,10 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ + "metro2/pop2/leafD/leafD1|metro2/pop2/leafD/leafD3|0", "metro5/pop1/leafA/leafA2|metro5/pop1/leafB/leafB2|0", - "metro2/pop1/leafB/leafB2|metro2/pop1/leafB/leafB3|0", "metro1/pop2/leafA/leafA1|metro1/pop2/leafA/leafA4|0", - "metro2/pop2/leafD/leafD1|metro2/pop2/leafD/leafD3|0" + "metro2/pop1/leafB/leafB2|metro2/pop1/leafB/leafB3|0" ] }, "failure_trace": null, @@ -35061,9 +35061,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro1/pop1/leafA/leafA2|metro1/dc1/dc/dc|0", "metro5/pop1/leafD/leafD2|metro5/dc1/dc/dc|0", - "metro2/pop2/leafA/leafA3|metro2/dc1/dc/dc|0" + "metro2/pop2/leafA/leafA3|metro2/dc1/dc/dc|0", + "metro1/pop1/leafA/leafA2|metro1/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -35186,9 +35186,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro1/pop1/leafD/leafD2|metro1/dc1/dc/dc|0", "metro2/pop1/leafC/leafC2|metro2/dc1/dc/dc|0", - "metro2/pop2/leafB/leafB3|metro2/dc1/dc/dc|0" + "metro2/pop2/leafB/leafB3|metro2/dc1/dc/dc|0", + "metro1/pop1/leafD/leafD2|metro1/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -35312,8 +35312,8 @@ "excluded_nodes": [], "excluded_links": [ "metro1/pop1/leafD/leafD1|metro1/dc1/dc/dc|0", - "metro1/pop2/leafD/leafD2|metro1/dc1/dc/dc|0", - "metro5/pop1/leafA/leafA1|metro5/dc1/dc/dc|0" + "metro5/pop1/leafA/leafA1|metro5/dc1/dc/dc|0", + "metro1/pop2/leafD/leafD2|metro1/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -35548,8 +35548,8 @@ "excluded_nodes": [], "excluded_links": [ "metro1/pop1/leafA/leafA1|metro1/dc1/dc/dc|0", - "metro1/pop2/leafB/leafB3|metro1/dc1/dc/dc|0", - "metro2/pop1/leafA/leafA2|metro2/dc1/dc/dc|0" + "metro2/pop1/leafA/leafA2|metro2/dc1/dc/dc|0", + "metro1/pop2/leafB/leafB3|metro1/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -35786,10 +35786,10 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ + "metro5/pop1/leafA/leafA3|metro5/pop1/leafD/leafD3|0", "metro2/pop1/leafB/leafB3|metro2/pop1/leafC/leafC3|0", "metro2/pop1/leafC/leafC2|metro2/pop1/leafD/leafD2|0", - "metro1/pop2/leafB/leafB1|metro1/pop2/leafC/leafC1|0", - "metro5/pop1/leafA/leafA3|metro5/pop1/leafD/leafD3|0" + "metro1/pop2/leafB/leafB1|metro1/pop2/leafC/leafC1|0" ] }, "failure_trace": null, @@ -35901,8 +35901,8 @@ "excluded_nodes": [], "excluded_links": [ "metro2/pop2/leafD/leafD2|metro2/dc1/dc/dc|0", - "metro5/pop2/leafC/leafC1|metro5/dc1/dc/dc|0", - "metro2/pop2/leafA/leafA3|metro2/dc1/dc/dc|0" + "metro2/pop2/leafA/leafA3|metro2/dc1/dc/dc|0", + "metro5/pop2/leafC/leafC1|metro5/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -36021,8 +36021,8 @@ "excluded_nodes": [], "excluded_links": [ "metro5/pop2/leafA/leafA3|metro5/dc1/dc/dc|0", - "metro5/pop2/leafD/leafD4|metro5/dc1/dc/dc|0", - "metro2/pop1/leafD/leafD3|metro2/dc1/dc/dc|0" + "metro2/pop1/leafD/leafD3|metro2/dc1/dc/dc|0", + "metro5/pop2/leafD/leafD4|metro5/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -36141,9 +36141,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ + "metro5/pop1/leafB/leafB1|metro5/dc1/dc/dc|0", "metro1/pop2/leafA/leafA1|metro1/dc1/dc/dc|0", - "metro5/pop1/leafD/leafD4|metro5/dc1/dc/dc|0", - "metro5/pop1/leafB/leafB1|metro5/dc1/dc/dc|0" + "metro5/pop1/leafD/leafD4|metro5/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -36258,9 +36258,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro1/pop1/leafB/leafB4|metro1/dc1/dc/dc|0", "metro5/pop2/leafA/leafA2|metro5/dc1/dc/dc|0", - "metro5/pop1/leafC/leafC3|metro5/dc1/dc/dc|0" + "metro5/pop1/leafC/leafC3|metro5/dc1/dc/dc|0", + "metro1/pop1/leafB/leafB4|metro1/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -36379,10 +36379,10 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ + "metro5/pop2/leafC/leafC3|metro5/pop2/leafD/leafD3|0", "metro2/pop2/leafA/leafA1|metro2/pop2/leafA/leafA3|0", "metro5/pop2/leafD/leafD1|metro5/pop2/leafD/leafD4|0", - "metro2/pop2/leafB/leafB3|metro2/pop2/leafB/leafB4|0", - "metro5/pop2/leafC/leafC3|metro5/pop2/leafD/leafD3|0" + "metro2/pop2/leafB/leafB3|metro2/pop2/leafB/leafB4|0" ] }, "failure_trace": null, @@ -36493,8 +36493,8 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro1/pop2/leafA/leafA1|metro1/dc1/dc/dc|0", "metro1/pop1/leafD/leafD1|metro1/dc1/dc/dc|0", + "metro1/pop2/leafA/leafA1|metro1/dc1/dc/dc|0", "metro1/pop2/leafC/leafC3|metro1/dc1/dc/dc|0" ] }, @@ -36613,8 +36613,8 @@ "excluded_nodes": [], "excluded_links": [ "metro5/pop1/leafB/leafB1|metro5/dc1/dc/dc|0", - "metro2/pop2/leafB/leafB4|metro2/dc1/dc/dc|0", - "metro5/pop1/leafC/leafC1|metro5/dc1/dc/dc|0" + "metro5/pop1/leafC/leafC1|metro5/dc1/dc/dc|0", + "metro2/pop2/leafB/leafB4|metro2/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -36735,9 +36735,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro2/pop2/leafB/leafB1|metro2/dc1/dc/dc|0", + "metro5/pop1/leafA/leafA4|metro5/dc1/dc/dc|0", "metro5/pop1/leafC/leafC2|metro5/dc1/dc/dc|0", - "metro5/pop1/leafA/leafA4|metro5/dc1/dc/dc|0" + "metro2/pop2/leafB/leafB1|metro2/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -37210,8 +37210,8 @@ "excluded_nodes": [], "excluded_links": [ "metro2/pop2/leafD/leafD2|metro2/dc1/dc/dc|0", - "metro1/pop2/leafA/leafA2|metro1/dc1/dc/dc|0", - "metro2/pop2/leafC/leafC2|metro2/dc1/dc/dc|0" + "metro2/pop2/leafC/leafC2|metro2/dc1/dc/dc|0", + "metro1/pop2/leafA/leafA2|metro1/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -37442,9 +37442,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro2/pop1/leafA/leafA4|metro2/dc1/dc/dc|0", + "metro2/pop1/leafD/leafD3|metro2/dc1/dc/dc|0", "metro5/pop2/leafC/leafC1|metro5/dc1/dc/dc|0", - "metro2/pop1/leafD/leafD3|metro2/dc1/dc/dc|0" + "metro2/pop1/leafA/leafA4|metro2/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -37688,9 +37688,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ + "metro2/pop2/leafA/leafA3|metro2/dc1/dc/dc|0", "metro2/pop2/leafC/leafC3|metro2/dc1/dc/dc|0", - "metro2/pop2/leafB/leafB4|metro2/dc1/dc/dc|0", - "metro2/pop2/leafA/leafA3|metro2/dc1/dc/dc|0" + "metro2/pop2/leafB/leafB4|metro2/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -38044,8 +38044,8 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro5/pop2/leafD/leafD3|metro5/dc1/dc/dc|0", "metro1/pop2/leafD/leafD3|metro1/dc1/dc/dc|0", + "metro5/pop2/leafD/leafD3|metro5/dc1/dc/dc|0", "metro5/pop2/leafB/leafB4|metro5/dc1/dc/dc|0" ] }, @@ -38162,9 +38162,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro1/pop1/leafB/leafB4|metro1/dc1/dc/dc|0", "metro5/pop1/leafA/leafA4|metro5/dc1/dc/dc|0", - "metro2/pop2/leafC/leafC2|metro2/dc1/dc/dc|0" + "metro2/pop2/leafC/leafC2|metro2/dc1/dc/dc|0", + "metro1/pop1/leafB/leafB4|metro1/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -38287,9 +38287,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro1/pop2/leafB/leafB3|metro1/dc1/dc/dc|0", + "metro5/pop1/leafC/leafC1|metro5/dc1/dc/dc|0", "metro5/pop2/leafC/leafC3|metro5/dc1/dc/dc|0", - "metro5/pop1/leafC/leafC1|metro5/dc1/dc/dc|0" + "metro1/pop2/leafB/leafB3|metro1/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -38409,8 +38409,8 @@ "excluded_nodes": [], "excluded_links": [ "metro2/pop1/leafB/leafB1|metro2/dc1/dc/dc|0", - "metro1/pop1/leafC/leafC4|metro1/dc1/dc/dc|0", - "metro5/pop1/leafD/leafD1|metro5/dc1/dc/dc|0" + "metro5/pop1/leafD/leafD1|metro5/dc1/dc/dc|0", + "metro1/pop1/leafC/leafC4|metro1/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -38529,10 +38529,10 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro2/pop1/leafD/leafD2|metro2/pop1/leafD/leafD4|0", "metro1/pop2/leafA/leafA2|metro1/pop2/leafA/leafA3|0", - "metro2/pop1/leafB/leafB2|metro2/pop1/leafB/leafB3|0", - "metro1/pop1/leafB/leafB3|metro1/pop1/leafB/leafB4|0" + "metro1/pop1/leafB/leafB3|metro1/pop1/leafB/leafB4|0", + "metro2/pop1/leafD/leafD2|metro2/pop1/leafD/leafD4|0", + "metro2/pop1/leafB/leafB2|metro2/pop1/leafB/leafB3|0" ] }, "failure_trace": null, @@ -38644,9 +38644,9 @@ "excluded_nodes": [], "excluded_links": [ "metro2/pop1/leafD/leafD1|metro2/pop1/leafD/leafD3|0", - "metro2/pop1/leafC/leafC2|metro2/pop1/leafD/leafD2|0", + "metro1/pop1/leafD/leafD1|metro1/pop1/leafD/leafD3|0", "metro1/pop2/leafB/leafB1|metro1/pop2/leafB/leafB4|0", - "metro1/pop1/leafD/leafD1|metro1/pop1/leafD/leafD3|0" + "metro2/pop1/leafC/leafC2|metro2/pop1/leafD/leafD2|0" ] }, "failure_trace": null, @@ -38878,9 +38878,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro2/pop2/leafC/leafC3|metro2/dc1/dc/dc|0", + "metro1/pop1/leafB/leafB3|metro1/dc1/dc/dc|0", "metro5/pop2/leafC/leafC2|metro5/dc1/dc/dc|0", - "metro1/pop1/leafB/leafB3|metro1/dc1/dc/dc|0" + "metro2/pop2/leafC/leafC3|metro2/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -39001,10 +39001,10 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro1/pop2/leafD/leafD1|metro1/pop2/leafD/leafD4|0", + "metro5/pop1/leafB/leafB4|metro5/pop1/leafC/leafC4|0", "metro2/pop1/leafB/leafB1|metro2/pop1/leafB/leafB4|0", - "metro1/pop2/leafB/leafB2|metro1/pop2/leafB/leafB3|0", - "metro5/pop1/leafB/leafB4|metro5/pop1/leafC/leafC4|0" + "metro1/pop2/leafD/leafD1|metro1/pop2/leafD/leafD4|0", + "metro1/pop2/leafB/leafB2|metro1/pop2/leafB/leafB3|0" ] }, "failure_trace": null, @@ -39116,8 +39116,8 @@ "excluded_nodes": [], "excluded_links": [ "metro1/pop1/leafA/leafA1|metro1/dc1/dc/dc|0", - "metro5/pop1/leafA/leafA4|metro5/dc1/dc/dc|0", - "metro1/pop2/leafD/leafD1|metro1/dc1/dc/dc|0" + "metro1/pop2/leafD/leafD1|metro1/dc1/dc/dc|0", + "metro5/pop1/leafA/leafA4|metro5/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -39242,8 +39242,8 @@ "excluded_nodes": [], "excluded_links": [ "metro1/pop1/leafC/leafC4|metro1/dc1/dc/dc|0", - "metro1/pop2/leafB/leafB3|metro1/dc1/dc/dc|0", - "metro5/pop2/leafD/leafD2|metro5/dc1/dc/dc|0" + "metro5/pop2/leafD/leafD2|metro5/dc1/dc/dc|0", + "metro1/pop2/leafB/leafB3|metro1/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -39363,8 +39363,8 @@ "excluded_nodes": [], "excluded_links": [ "metro5/pop2/leafB/leafB1|metro5/dc1/dc/dc|0", - "metro2/pop2/leafA/leafA1|metro2/dc1/dc/dc|0", - "metro5/pop1/leafC/leafC2|metro5/dc1/dc/dc|0" + "metro5/pop1/leafC/leafC2|metro5/dc1/dc/dc|0", + "metro2/pop2/leafA/leafA1|metro2/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -39485,10 +39485,10 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro2/pop2/leafA/leafA2|metro2/pop2/leafA/leafA3|0", + "metro2/pop2/leafB/leafB1|metro2/pop2/leafB/leafB4|0", "metro1/pop2/leafA/leafA1|metro1/pop2/leafB/leafB1|0", "metro2/pop2/leafB/leafB1|metro2/pop2/leafC/leafC1|0", - "metro2/pop2/leafB/leafB1|metro2/pop2/leafB/leafB4|0" + "metro2/pop2/leafA/leafA2|metro2/pop2/leafA/leafA3|0" ] }, "failure_trace": null, @@ -39601,8 +39601,8 @@ "excluded_links": [ "metro5/pop1/leafB/leafB1|metro5/pop1/leafB/leafB2|0", "metro1/pop1/leafD/leafD2|metro1/pop1/leafD/leafD4|0", - "metro1/pop1/leafD/leafD1|metro1/pop1/leafD/leafD2|0", - "metro5/pop2/leafC/leafC1|metro5/pop2/leafC/leafC4|0" + "metro5/pop2/leafC/leafC1|metro5/pop2/leafC/leafC4|0", + "metro1/pop1/leafD/leafD1|metro1/pop1/leafD/leafD2|0" ] }, "failure_trace": null, @@ -39713,9 +39713,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ + "metro1/pop2/leafA/leafA1|metro1/pop2/leafA/leafA2|0", "metro1/pop1/leafB/leafB1|metro1/pop1/leafB/leafB2|0", "metro5/pop1/leafB/leafB3|metro5/pop1/leafC/leafC3|0", - "metro1/pop2/leafA/leafA1|metro1/pop2/leafA/leafA2|0", "metro1/pop1/leafD/leafD1|metro1/pop1/leafD/leafD3|0" ] }, @@ -39827,8 +39827,8 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro1/pop1/leafC/leafC2|metro1/dc1/dc/dc|0", "metro2/pop2/leafA/leafA3|metro2/dc1/dc/dc|0", + "metro1/pop1/leafC/leafC2|metro1/dc1/dc/dc|0", "metro1/pop1/leafB/leafB1|metro1/dc1/dc/dc|0" ] }, @@ -40066,9 +40066,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro5/pop2/leafD/leafD1|metro5/dc1/dc/dc|0", "metro5/pop1/leafB/leafB1|metro5/dc1/dc/dc|0", - "metro2/pop2/leafA/leafA3|metro2/dc1/dc/dc|0" + "metro2/pop2/leafA/leafA3|metro2/dc1/dc/dc|0", + "metro5/pop2/leafD/leafD1|metro5/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -40191,8 +40191,8 @@ "excluded_nodes": [], "excluded_links": [ "metro5/pop1/leafC/leafC4|metro5/dc1/dc/dc|0", - "metro2/pop1/leafA/leafA4|metro2/dc1/dc/dc|0", - "metro5/pop1/leafA/leafA1|metro5/dc1/dc/dc|0" + "metro5/pop1/leafA/leafA1|metro5/dc1/dc/dc|0", + "metro2/pop1/leafA/leafA4|metro2/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -40423,8 +40423,8 @@ "excluded_nodes": [], "excluded_links": [ "metro5/pop1/leafA/leafA2|metro5/dc1/dc/dc|0", - "metro1/pop1/leafB/leafB4|metro1/dc1/dc/dc|0", - "metro2/pop1/leafD/leafD3|metro2/dc1/dc/dc|0" + "metro2/pop1/leafD/leafD3|metro2/dc1/dc/dc|0", + "metro1/pop1/leafB/leafB4|metro1/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -40656,9 +40656,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro5/pop1/leafA/leafA3|metro5/dc1/dc/dc|0", + "metro5/pop1/leafD/leafD2|metro5/dc1/dc/dc|0", "metro1/pop1/leafB/leafB4|metro1/dc1/dc/dc|0", - "metro5/pop1/leafD/leafD2|metro5/dc1/dc/dc|0" + "metro5/pop1/leafA/leafA3|metro5/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -40775,9 +40775,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ + "metro2/pop2/leafA/leafA4|metro2/dc1/dc/dc|0", "metro5/pop2/leafB/leafB2|metro5/dc1/dc/dc|0", - "metro2/pop2/leafD/leafD3|metro2/dc1/dc/dc|0", - "metro2/pop2/leafA/leafA4|metro2/dc1/dc/dc|0" + "metro2/pop2/leafD/leafD3|metro2/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -41016,8 +41016,8 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro1/pop2/leafC/leafC4|metro1/dc1/dc/dc|0", "metro2/pop2/leafC/leafC1|metro2/dc1/dc/dc|0", + "metro1/pop2/leafC/leafC4|metro1/dc1/dc/dc|0", "metro1/pop2/leafB/leafB2|metro1/dc1/dc/dc|0" ] }, @@ -41136,8 +41136,8 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro2/pop1/leafD/leafD1|metro2/pop1/leafD/leafD2|0", "metro2/pop1/leafB/leafB4|metro2/pop1/leafC/leafC4|0", + "metro2/pop1/leafD/leafD1|metro2/pop1/leafD/leafD2|0", "metro2/pop1/leafC/leafC2|metro2/pop1/leafC/leafC4|0", "metro2/pop1/leafA/leafA1|metro2/pop1/leafA/leafA3|0" ] @@ -41250,9 +41250,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ + "metro5/pop2/leafC/leafC4|metro5/dc1/dc/dc|0", "metro1/pop1/leafB/leafB2|metro1/dc1/dc/dc|0", - "metro5/pop2/leafC/leafC2|metro5/dc1/dc/dc|0", - "metro5/pop2/leafC/leafC4|metro5/dc1/dc/dc|0" + "metro5/pop2/leafC/leafC2|metro5/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -41369,9 +41369,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro1/pop2/leafB/leafB3|metro1/dc1/dc/dc|0", + "metro2/pop1/leafB/leafB2|metro2/dc1/dc/dc|0", "metro1/pop1/leafA/leafA3|metro1/dc1/dc/dc|0", - "metro2/pop1/leafB/leafB2|metro2/dc1/dc/dc|0" + "metro1/pop2/leafB/leafB3|metro1/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -41604,9 +41604,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ + "metro1/pop1/leafD/leafD1|metro1/dc1/dc/dc|0", "metro1/pop1/leafC/leafC4|metro1/dc1/dc/dc|0", - "metro5/pop2/leafC/leafC4|metro5/dc1/dc/dc|0", - "metro1/pop1/leafD/leafD1|metro1/dc1/dc/dc|0" + "metro5/pop2/leafC/leafC4|metro5/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -41725,8 +41725,8 @@ "excluded_links": [ "metro2/pop1/leafD/leafD2|metro2/pop1/leafD/leafD4|0", "metro5/pop1/leafD/leafD2|metro5/pop1/leafD/leafD4|0", - "metro1/pop2/leafC/leafC1|metro1/pop2/leafD/leafD1|0", - "metro2/pop2/leafA/leafA4|metro2/pop2/leafD/leafD4|0" + "metro2/pop2/leafA/leafA4|metro2/pop2/leafD/leafD4|0", + "metro1/pop2/leafC/leafC1|metro1/pop2/leafD/leafD1|0" ] }, "failure_trace": null, @@ -41837,9 +41837,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro1/pop1/leafD/leafD2|metro1/dc1/dc/dc|0", "metro5/pop1/leafD/leafD2|metro5/dc1/dc/dc|0", - "metro5/pop2/leafB/leafB1|metro5/dc1/dc/dc|0" + "metro5/pop2/leafB/leafB1|metro5/dc1/dc/dc|0", + "metro1/pop1/leafD/leafD2|metro1/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -41958,10 +41958,10 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro1/pop1/leafA/leafA1|metro1/pop1/leafD/leafD1|0", + "metro2/pop1/leafB/leafB3|metro2/pop1/leafB/leafB4|0", "metro2/pop2/leafA/leafA3|metro2/pop2/leafA/leafA4|0", - "metro2/pop2/leafD/leafD3|metro2/pop2/leafD/leafD4|0", - "metro2/pop1/leafB/leafB3|metro2/pop1/leafB/leafB4|0" + "metro1/pop1/leafA/leafA1|metro1/pop1/leafD/leafD1|0", + "metro2/pop2/leafD/leafD3|metro2/pop2/leafD/leafD4|0" ] }, "failure_trace": null, @@ -42072,9 +42072,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ + "metro2/pop2/leafC/leafC4|metro2/dc1/dc/dc|0", "metro5/pop2/leafA/leafA4|metro5/dc1/dc/dc|0", - "metro5/pop2/leafA/leafA1|metro5/dc1/dc/dc|0", - "metro2/pop2/leafC/leafC4|metro2/dc1/dc/dc|0" + "metro5/pop2/leafA/leafA1|metro5/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -42192,8 +42192,8 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro5/pop1/leafB/leafB4|metro5/dc1/dc/dc|0", "metro1/pop2/leafD/leafD4|metro1/dc1/dc/dc|0", + "metro5/pop1/leafB/leafB4|metro5/dc1/dc/dc|0", "metro2/pop2/leafB/leafB4|metro2/dc1/dc/dc|0" ] }, @@ -42316,9 +42316,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro2/pop1/leafA/leafA4|metro2/dc1/dc/dc|0", + "metro2/pop1/leafC/leafC4|metro2/dc1/dc/dc|0", "metro2/pop2/leafC/leafC3|metro2/dc1/dc/dc|0", - "metro2/pop1/leafC/leafC4|metro2/dc1/dc/dc|0" + "metro2/pop1/leafA/leafA4|metro2/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -42441,8 +42441,8 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro1/pop2/leafD/leafD1|metro1/pop2/leafD/leafD4|0", "metro5/pop1/leafA/leafA2|metro5/pop1/leafB/leafB2|0", + "metro1/pop2/leafD/leafD1|metro1/pop2/leafD/leafD4|0", "metro2/pop2/leafA/leafA3|metro2/pop2/leafB/leafB3|0", "metro5/pop1/leafD/leafD3|metro5/pop1/leafD/leafD4|0" ] @@ -42556,8 +42556,8 @@ "excluded_nodes": [], "excluded_links": [ "metro5/pop2/leafB/leafB2|metro5/dc1/dc/dc|0", - "metro5/pop2/leafD/leafD4|metro5/dc1/dc/dc|0", - "metro5/pop1/leafC/leafC1|metro5/dc1/dc/dc|0" + "metro5/pop1/leafC/leafC1|metro5/dc1/dc/dc|0", + "metro5/pop2/leafD/leafD4|metro5/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -42675,8 +42675,8 @@ "excluded_nodes": [], "excluded_links": [ "metro2/pop1/leafD/leafD2|metro2/dc1/dc/dc|0", - "metro5/pop2/leafC/leafC3|metro5/dc1/dc/dc|0", - "metro5/pop1/leafB/leafB3|metro5/dc1/dc/dc|0" + "metro5/pop1/leafB/leafB3|metro5/dc1/dc/dc|0", + "metro5/pop2/leafC/leafC3|metro5/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -42797,9 +42797,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ + "metro1/pop1/leafD/leafD4|metro1/dc1/dc/dc|0", "metro1/pop1/leafA/leafA1|metro1/dc1/dc/dc|0", - "metro2/pop2/leafC/leafC3|metro2/dc1/dc/dc|0", - "metro1/pop1/leafD/leafD4|metro1/dc1/dc/dc|0" + "metro2/pop2/leafC/leafC3|metro2/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -42921,8 +42921,8 @@ "excluded_nodes": [], "excluded_links": [ "metro1/pop1/leafC/leafC4|metro1/dc1/dc/dc|0", - "metro5/pop2/leafA/leafA1|metro5/dc1/dc/dc|0", - "metro2/pop1/leafC/leafC3|metro2/dc1/dc/dc|0" + "metro2/pop1/leafC/leafC3|metro2/dc1/dc/dc|0", + "metro5/pop2/leafA/leafA1|metro5/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -43275,8 +43275,8 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro2/pop2/leafD/leafD1|metro2/dc1/dc/dc|0", "metro2/pop1/leafA/leafA1|metro2/dc1/dc/dc|0", + "metro2/pop2/leafD/leafD1|metro2/dc1/dc/dc|0", "metro1/pop2/leafB/leafB2|metro1/dc1/dc/dc|0" ] }, @@ -43396,10 +43396,10 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro5/pop1/leafA/leafA1|metro5/pop1/leafA/leafA2|0", "metro2/pop2/leafA/leafA4|metro2/pop2/leafB/leafB4|0", "metro2/pop1/leafB/leafB1|metro2/pop1/leafB/leafB4|0", - "metro5/pop1/leafA/leafA4|metro5/pop1/leafD/leafD4|0" + "metro5/pop1/leafA/leafA4|metro5/pop1/leafD/leafD4|0", + "metro5/pop1/leafA/leafA1|metro5/pop1/leafA/leafA2|0" ] }, "failure_trace": null, @@ -43511,8 +43511,8 @@ "excluded_nodes": [], "excluded_links": [ "metro2/pop2/leafC/leafC2|metro2/pop2/leafD/leafD2|0", - "metro1/pop2/leafB/leafB2|metro1/pop2/leafC/leafC2|0", "metro5/pop2/leafB/leafB1|metro5/pop2/leafB/leafB4|0", + "metro1/pop2/leafB/leafB2|metro1/pop2/leafC/leafC2|0", "metro2/pop2/leafC/leafC2|metro2/pop2/leafC/leafC3|0" ] }, @@ -43739,8 +43739,8 @@ "excluded_nodes": [], "excluded_links": [ "metro5/pop1/leafA/leafA2|metro5/dc1/dc/dc|0", - "metro5/pop1/leafD/leafD4|metro5/dc1/dc/dc|0", - "metro5/pop1/leafC/leafC2|metro5/dc1/dc/dc|0" + "metro5/pop1/leafC/leafC2|metro5/dc1/dc/dc|0", + "metro5/pop1/leafD/leafD4|metro5/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -43855,10 +43855,10 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro2/pop2/leafD/leafD2|metro2/pop2/leafD/leafD3|0", - "metro1/pop2/leafA/leafA2|metro1/pop2/leafB/leafB2|0", "metro1/pop1/leafA/leafA1|metro1/pop1/leafD/leafD1|0", - "metro2/pop2/leafC/leafC2|metro2/pop2/leafC/leafC3|0" + "metro2/pop2/leafC/leafC2|metro2/pop2/leafC/leafC3|0", + "metro1/pop2/leafA/leafA2|metro1/pop2/leafB/leafB2|0", + "metro2/pop2/leafD/leafD2|metro2/pop2/leafD/leafD3|0" ] }, "failure_trace": null, @@ -43969,9 +43969,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ + "metro2/pop2/leafD/leafD4|metro2/dc1/dc/dc|0", "metro1/pop2/leafC/leafC4|metro1/dc1/dc/dc|0", - "metro1/pop1/leafB/leafB4|metro1/dc1/dc/dc|0", - "metro2/pop2/leafD/leafD4|metro2/dc1/dc/dc|0" + "metro1/pop1/leafB/leafB4|metro1/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -44093,9 +44093,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ + "metro1/pop2/leafD/leafD1|metro1/dc1/dc/dc|0", "metro1/pop1/leafD/leafD2|metro1/dc1/dc/dc|0", - "metro5/pop1/leafB/leafB4|metro5/dc1/dc/dc|0", - "metro1/pop2/leafD/leafD1|metro1/dc1/dc/dc|0" + "metro5/pop1/leafB/leafB4|metro5/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -44217,9 +44217,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ + "metro1/pop1/leafC/leafC2|metro1/dc1/dc/dc|0", "metro5/pop1/leafB/leafB4|metro5/dc1/dc/dc|0", - "metro5/pop1/leafA/leafA3|metro5/dc1/dc/dc|0", - "metro1/pop1/leafC/leafC2|metro1/dc1/dc/dc|0" + "metro5/pop1/leafA/leafA3|metro5/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -44336,9 +44336,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro1/pop1/leafA/leafA1|metro1/pop1/leafA/leafA3|0", "metro2/pop2/leafA/leafA4|metro2/pop2/leafB/leafB4|0", "metro2/pop2/leafA/leafA3|metro2/pop2/leafA/leafA4|0", + "metro1/pop1/leafA/leafA1|metro1/pop1/leafA/leafA3|0", "metro1/pop2/leafC/leafC2|metro1/pop2/leafC/leafC3|0" ] }, @@ -44563,9 +44563,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro1/pop2/leafD/leafD2|metro1/dc1/dc/dc|0", + "metro2/pop1/leafB/leafB3|metro2/dc1/dc/dc|0", "metro2/pop2/leafC/leafC1|metro2/dc1/dc/dc|0", - "metro2/pop1/leafB/leafB3|metro2/dc1/dc/dc|0" + "metro1/pop2/leafD/leafD2|metro1/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -44684,9 +44684,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro2/pop2/leafB/leafB1|metro2/dc1/dc/dc|0", "metro2/pop1/leafC/leafC1|metro2/dc1/dc/dc|0", - "metro5/pop1/leafC/leafC1|metro5/dc1/dc/dc|0" + "metro5/pop1/leafC/leafC1|metro5/dc1/dc/dc|0", + "metro2/pop2/leafB/leafB1|metro2/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -44812,8 +44812,8 @@ "excluded_nodes": [], "excluded_links": [ "metro2/pop2/leafC/leafC1|metro2/dc1/dc/dc|0", - "metro5/pop1/leafB/leafB2|metro5/dc1/dc/dc|0", - "metro5/pop2/leafB/leafB3|metro5/dc1/dc/dc|0" + "metro5/pop2/leafB/leafB3|metro5/dc1/dc/dc|0", + "metro5/pop1/leafB/leafB2|metro5/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -44934,9 +44934,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ + "metro5/pop1/leafB/leafB3|metro5/dc1/dc/dc|0", "metro1/pop1/leafB/leafB2|metro1/dc1/dc/dc|0", - "metro2/pop2/leafD/leafD1|metro2/dc1/dc/dc|0", - "metro5/pop1/leafB/leafB3|metro5/dc1/dc/dc|0" + "metro2/pop2/leafD/leafD1|metro2/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -45060,9 +45060,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ + "metro5/pop1/leafA/leafA2|metro5/dc1/dc/dc|0", "metro5/pop2/leafA/leafA3|metro5/dc1/dc/dc|0", - "metro5/pop1/leafA/leafA4|metro5/dc1/dc/dc|0", - "metro5/pop1/leafA/leafA2|metro5/dc1/dc/dc|0" + "metro5/pop1/leafA/leafA4|metro5/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -45179,9 +45179,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro5/pop1/leafC/leafC4|metro5/dc1/dc/dc|0", + "metro1/pop2/leafB/leafB1|metro1/dc1/dc/dc|0", "metro5/pop2/leafC/leafC4|metro5/dc1/dc/dc|0", - "metro1/pop2/leafB/leafB1|metro1/dc1/dc/dc|0" + "metro5/pop1/leafC/leafC4|metro5/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -45414,9 +45414,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro5/pop2/leafD/leafD3|metro5/dc1/dc/dc|0", "metro5/pop1/leafB/leafB1|metro5/dc1/dc/dc|0", - "metro2/pop1/leafD/leafD1|metro2/dc1/dc/dc|0" + "metro2/pop1/leafD/leafD1|metro2/dc1/dc/dc|0", + "metro5/pop2/leafD/leafD3|metro5/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -45537,9 +45537,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro1/pop1/leafD/leafD1|metro1/dc1/dc/dc|0", "metro2/pop1/leafA/leafA3|metro2/dc1/dc/dc|0", - "metro5/pop1/leafB/leafB3|metro5/dc1/dc/dc|0" + "metro5/pop1/leafB/leafB3|metro5/dc1/dc/dc|0", + "metro1/pop1/leafD/leafD1|metro1/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -45658,9 +45658,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ + "metro5/pop1/leafB/leafB3|metro5/dc1/dc/dc|0", "metro2/pop2/leafC/leafC4|metro2/dc1/dc/dc|0", - "metro2/pop1/leafB/leafB2|metro2/dc1/dc/dc|0", - "metro5/pop1/leafB/leafB3|metro5/dc1/dc/dc|0" + "metro2/pop1/leafB/leafB2|metro2/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -45783,8 +45783,8 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro5/pop1/leafD/leafD3|metro5/dc1/dc/dc|0", "metro5/pop1/leafD/leafD2|metro5/dc1/dc/dc|0", + "metro5/pop1/leafD/leafD3|metro5/dc1/dc/dc|0", "metro5/pop2/leafD/leafD1|metro5/dc1/dc/dc|0" ] }, @@ -46017,9 +46017,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ + "metro2/pop1/leafD/leafD1|metro2/dc1/dc/dc|0", "metro5/pop2/leafB/leafB2|metro5/dc1/dc/dc|0", - "metro1/pop1/leafD/leafD1|metro1/dc1/dc/dc|0", - "metro2/pop1/leafD/leafD1|metro2/dc1/dc/dc|0" + "metro1/pop1/leafD/leafD1|metro1/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -46142,9 +46142,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ + "metro2/pop1/leafC/leafC1|metro2/dc1/dc/dc|0", "metro5/pop1/leafC/leafC4|metro5/dc1/dc/dc|0", - "metro5/pop2/leafA/leafA2|metro5/dc1/dc/dc|0", - "metro2/pop1/leafC/leafC1|metro2/dc1/dc/dc|0" + "metro5/pop2/leafA/leafA2|metro5/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -46263,9 +46263,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro5/pop2/leafA/leafA3|metro5/dc1/dc/dc|0", + "metro2/pop1/leafB/leafB3|metro2/dc1/dc/dc|0", "metro5/pop1/leafB/leafB2|metro5/dc1/dc/dc|0", - "metro2/pop1/leafB/leafB3|metro2/dc1/dc/dc|0" + "metro5/pop2/leafA/leafA3|metro5/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -46384,9 +46384,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ + "metro5/pop2/leafB/leafB3|metro5/dc1/dc/dc|0", "metro5/pop2/leafA/leafA3|metro5/dc1/dc/dc|0", - "metro1/pop2/leafD/leafD1|metro1/dc1/dc/dc|0", - "metro5/pop2/leafB/leafB3|metro5/dc1/dc/dc|0" + "metro1/pop2/leafD/leafD1|metro1/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -46503,8 +46503,8 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro1/pop1/leafA/leafA1|metro1/dc1/dc/dc|0", "metro5/pop1/leafD/leafD2|metro5/dc1/dc/dc|0", + "metro1/pop1/leafA/leafA1|metro1/dc1/dc/dc|0", "metro1/pop1/leafB/leafB4|metro1/dc1/dc/dc|0" ] }, @@ -46622,8 +46622,8 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro2/pop2/leafC/leafC2|metro2/dc1/dc/dc|0", "metro2/pop1/leafB/leafB3|metro2/dc1/dc/dc|0", + "metro2/pop2/leafC/leafC2|metro2/dc1/dc/dc|0", "metro1/pop1/leafA/leafA4|metro1/dc1/dc/dc|0" ] }, @@ -46748,8 +46748,8 @@ "excluded_nodes": [], "excluded_links": [ "metro2/pop2/leafA/leafA4|metro2/dc1/dc/dc|0", - "metro5/pop1/leafD/leafD4|metro5/dc1/dc/dc|0", - "metro5/pop1/leafD/leafD2|metro5/dc1/dc/dc|0" + "metro5/pop1/leafD/leafD2|metro5/dc1/dc/dc|0", + "metro5/pop1/leafD/leafD4|metro5/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -46870,9 +46870,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro2/pop2/leafD/leafD2|metro2/dc1/dc/dc|0", "metro2/pop1/leafC/leafC1|metro2/dc1/dc/dc|0", - "metro5/pop1/leafC/leafC1|metro5/dc1/dc/dc|0" + "metro5/pop1/leafC/leafC1|metro5/dc1/dc/dc|0", + "metro2/pop2/leafD/leafD2|metro2/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -46997,9 +46997,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ + "metro2/pop2/leafA/leafA3|metro2/dc1/dc/dc|0", "metro2/pop2/leafC/leafC2|metro2/dc1/dc/dc|0", - "metro5/pop1/leafC/leafC2|metro5/dc1/dc/dc|0", - "metro2/pop2/leafA/leafA3|metro2/dc1/dc/dc|0" + "metro5/pop1/leafC/leafC2|metro5/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -47121,9 +47121,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro1/pop1/leafB/leafB4|metro1/dc1/dc/dc|0", "metro2/pop1/leafD/leafD1|metro2/dc1/dc/dc|0", - "metro1/pop2/leafC/leafC3|metro1/dc1/dc/dc|0" + "metro1/pop2/leafC/leafC3|metro1/dc1/dc/dc|0", + "metro1/pop1/leafB/leafB4|metro1/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -47244,10 +47244,10 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro1/pop2/leafB/leafB1|metro1/pop2/leafB/leafB3|0", - "metro2/pop2/leafD/leafD1|metro2/pop2/leafD/leafD2|0", "metro5/pop2/leafD/leafD2|metro5/pop2/leafD/leafD4|0", - "metro5/pop1/leafA/leafA1|metro5/pop1/leafA/leafA4|0" + "metro5/pop1/leafA/leafA1|metro5/pop1/leafA/leafA4|0", + "metro2/pop2/leafD/leafD1|metro2/pop2/leafD/leafD2|0", + "metro1/pop2/leafB/leafB1|metro1/pop2/leafB/leafB3|0" ] }, "failure_trace": null, @@ -47358,10 +47358,10 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro5/pop2/leafC/leafC1|metro5/pop2/leafC/leafC2|0", - "metro2/pop1/leafD/leafD2|metro2/pop1/leafD/leafD3|0", "metro1/pop1/leafC/leafC3|metro1/pop1/leafD/leafD3|0", - "metro2/pop1/leafA/leafA4|metro2/pop1/leafD/leafD4|0" + "metro2/pop1/leafA/leafA4|metro2/pop1/leafD/leafD4|0", + "metro5/pop2/leafC/leafC1|metro5/pop2/leafC/leafC2|0", + "metro2/pop1/leafD/leafD2|metro2/pop1/leafD/leafD3|0" ] }, "failure_trace": null, @@ -47472,8 +47472,8 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro5/pop2/leafD/leafD2|metro5/dc1/dc/dc|0", "metro5/pop1/leafC/leafC2|metro5/dc1/dc/dc|0", + "metro5/pop2/leafD/leafD2|metro5/dc1/dc/dc|0", "metro5/pop2/leafC/leafC1|metro5/dc1/dc/dc|0" ] }, @@ -47592,10 +47592,10 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro5/pop2/leafA/leafA1|metro5/pop2/leafB/leafB1|0", - "metro2/pop1/leafA/leafA1|metro2/pop1/leafD/leafD1|0", + "metro1/pop1/leafA/leafA1|metro1/pop1/leafD/leafD1|0", "metro2/pop1/leafA/leafA2|metro2/pop1/leafD/leafD2|0", - "metro1/pop1/leafA/leafA1|metro1/pop1/leafD/leafD1|0" + "metro2/pop1/leafA/leafA1|metro2/pop1/leafD/leafD1|0", + "metro5/pop2/leafA/leafA1|metro5/pop2/leafB/leafB1|0" ] }, "failure_trace": null, @@ -47819,10 +47819,10 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro1/pop2/leafA/leafA3|metro1/pop2/leafB/leafB3|0", + "metro2/pop1/leafA/leafA2|metro2/pop1/leafB/leafB2|0", "metro2/pop1/leafC/leafC2|metro2/pop1/leafC/leafC3|0", - "metro1/pop2/leafB/leafB1|metro1/pop2/leafB/leafB2|0", - "metro2/pop1/leafA/leafA2|metro2/pop1/leafB/leafB2|0" + "metro1/pop2/leafA/leafA3|metro1/pop2/leafB/leafB3|0", + "metro1/pop2/leafB/leafB1|metro1/pop2/leafB/leafB2|0" ] }, "failure_trace": null, @@ -47933,9 +47933,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ + "metro1/pop1/leafB/leafB3|metro1/dc1/dc/dc|0", "metro5/pop1/leafC/leafC4|metro5/dc1/dc/dc|0", - "metro1/pop1/leafC/leafC1|metro1/dc1/dc/dc|0", - "metro1/pop1/leafB/leafB3|metro1/dc1/dc/dc|0" + "metro1/pop1/leafC/leafC1|metro1/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -48053,9 +48053,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ + "metro1/pop2/leafC/leafC1|metro1/dc1/dc/dc|0", "metro1/pop1/leafB/leafB1|metro1/dc1/dc/dc|0", - "metro1/pop1/leafD/leafD3|metro1/dc1/dc/dc|0", - "metro1/pop2/leafC/leafC1|metro1/dc1/dc/dc|0" + "metro1/pop1/leafD/leafD3|metro1/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -48173,8 +48173,8 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro5/pop2/leafA/leafA1|metro5/dc1/dc/dc|0", "metro1/pop2/leafC/leafC1|metro1/dc1/dc/dc|0", + "metro5/pop2/leafA/leafA1|metro5/dc1/dc/dc|0", "metro5/pop2/leafB/leafB4|metro5/dc1/dc/dc|0" ] }, @@ -48290,9 +48290,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro5/pop2/leafD/leafD2|metro5/dc1/dc/dc|0", + "metro5/pop1/leafB/leafB2|metro5/dc1/dc/dc|0", "metro5/pop2/leafA/leafA2|metro5/dc1/dc/dc|0", - "metro5/pop1/leafB/leafB2|metro5/dc1/dc/dc|0" + "metro5/pop2/leafD/leafD2|metro5/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -48409,9 +48409,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro2/pop1/leafA/leafA4|metro2/dc1/dc/dc|0", "metro2/pop1/leafD/leafD1|metro2/dc1/dc/dc|0", - "metro1/pop2/leafD/leafD2|metro1/dc1/dc/dc|0" + "metro1/pop2/leafD/leafD2|metro1/dc1/dc/dc|0", + "metro2/pop1/leafA/leafA4|metro2/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -48531,9 +48531,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro1/pop2/leafA/leafA2|metro1/dc1/dc/dc|0", "metro1/pop2/leafD/leafD3|metro1/dc1/dc/dc|0", - "metro1/pop1/leafA/leafA4|metro1/dc1/dc/dc|0" + "metro1/pop1/leafA/leafA4|metro1/dc1/dc/dc|0", + "metro1/pop2/leafA/leafA2|metro1/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -48651,9 +48651,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro5/pop2/leafB/leafB4|metro5/dc1/dc/dc|0", + "metro1/pop1/leafC/leafC3|metro1/dc1/dc/dc|0", "metro1/pop2/leafD/leafD2|metro1/dc1/dc/dc|0", - "metro1/pop1/leafC/leafC3|metro1/dc1/dc/dc|0" + "metro5/pop2/leafB/leafB4|metro5/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -48773,9 +48773,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ + "metro5/pop1/leafB/leafB3|metro5/dc1/dc/dc|0", "metro2/pop2/leafC/leafC3|metro2/dc1/dc/dc|0", - "metro2/pop2/leafD/leafD1|metro2/dc1/dc/dc|0", - "metro5/pop1/leafB/leafB3|metro5/dc1/dc/dc|0" + "metro2/pop2/leafD/leafD1|metro2/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -49015,8 +49015,8 @@ "excluded_nodes": [], "excluded_links": [ "metro1/pop2/leafB/leafB1|metro1/dc1/dc/dc|0", - "metro1/pop2/leafC/leafC2|metro1/dc1/dc/dc|0", - "metro1/pop1/leafC/leafC3|metro1/dc1/dc/dc|0" + "metro1/pop1/leafC/leafC3|metro1/dc1/dc/dc|0", + "metro1/pop2/leafC/leafC2|metro1/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -49134,8 +49134,8 @@ "excluded_nodes": [], "excluded_links": [ "metro2/pop1/leafB/leafB3|metro2/dc1/dc/dc|0", - "metro5/pop2/leafC/leafC1|metro5/dc1/dc/dc|0", - "metro1/pop2/leafC/leafC3|metro1/dc1/dc/dc|0" + "metro1/pop2/leafC/leafC3|metro1/dc1/dc/dc|0", + "metro5/pop2/leafC/leafC1|metro5/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -49252,9 +49252,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro1/pop1/leafA/leafA2|metro1/dc1/dc/dc|0", "metro5/pop1/leafD/leafD2|metro5/dc1/dc/dc|0", - "metro5/pop1/leafC/leafC4|metro5/dc1/dc/dc|0" + "metro5/pop1/leafC/leafC4|metro5/dc1/dc/dc|0", + "metro1/pop1/leafA/leafA2|metro1/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -49371,9 +49371,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro5/pop2/leafA/leafA4|metro5/dc1/dc/dc|0", "metro2/pop1/leafC/leafC1|metro2/dc1/dc/dc|0", - "metro2/pop2/leafA/leafA3|metro2/dc1/dc/dc|0" + "metro2/pop2/leafA/leafA3|metro2/dc1/dc/dc|0", + "metro5/pop2/leafA/leafA4|metro5/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -49493,9 +49493,9 @@ "excluded_nodes": [], "excluded_links": [ "metro1/pop2/leafD/leafD3|metro1/pop2/leafD/leafD4|0", - "metro2/pop2/leafA/leafA1|metro2/pop2/leafA/leafA4|0", + "metro5/pop1/leafA/leafA2|metro5/pop1/leafA/leafA3|0", "metro2/pop2/leafA/leafA4|metro2/pop2/leafD/leafD4|0", - "metro5/pop1/leafA/leafA2|metro5/pop1/leafA/leafA3|0" + "metro2/pop2/leafA/leafA1|metro2/pop2/leafA/leafA4|0" ] }, "failure_trace": null, @@ -49606,10 +49606,10 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro1/pop1/leafA/leafA3|metro1/pop1/leafA/leafA4|0", "metro5/pop1/leafC/leafC3|metro5/pop1/leafC/leafC4|0", + "metro5/pop2/leafD/leafD1|metro5/pop2/leafD/leafD4|0", "metro2/pop1/leafB/leafB1|metro2/pop1/leafB/leafB3|0", - "metro5/pop2/leafD/leafD1|metro5/pop2/leafD/leafD4|0" + "metro1/pop1/leafA/leafA3|metro1/pop1/leafA/leafA4|0" ] }, "failure_trace": null, @@ -49720,10 +49720,10 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro1/pop2/leafB/leafB1|metro1/pop2/leafC/leafC1|0", "metro1/pop2/leafB/leafB2|metro1/pop2/leafB/leafB4|0", - "metro1/pop1/leafD/leafD1|metro1/pop1/leafD/leafD2|0", - "metro5/pop2/leafC/leafC1|metro5/pop2/leafC/leafC2|0" + "metro1/pop2/leafB/leafB1|metro1/pop2/leafC/leafC1|0", + "metro5/pop2/leafC/leafC1|metro5/pop2/leafC/leafC2|0", + "metro1/pop1/leafD/leafD1|metro1/pop1/leafD/leafD2|0" ] }, "failure_trace": null, @@ -49834,10 +49834,10 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro1/pop1/leafA/leafA1|metro1/pop1/leafA/leafA2|0", "metro1/pop2/leafA/leafA1|metro1/pop2/leafA/leafA2|0", + "metro2/pop1/leafD/leafD1|metro2/pop1/leafD/leafD4|0", "metro5/pop2/leafC/leafC2|metro5/pop2/leafD/leafD2|0", - "metro2/pop1/leafD/leafD1|metro2/pop1/leafD/leafD4|0" + "metro1/pop1/leafA/leafA1|metro1/pop1/leafA/leafA2|0" ] }, "failure_trace": null, @@ -49949,8 +49949,8 @@ "excluded_nodes": [], "excluded_links": [ "metro5/pop1/leafB/leafB1|metro5/dc1/dc/dc|0", - "metro5/pop1/leafA/leafA1|metro5/dc1/dc/dc|0", - "metro5/pop2/leafD/leafD3|metro5/dc1/dc/dc|0" + "metro5/pop2/leafD/leafD3|metro5/dc1/dc/dc|0", + "metro5/pop1/leafA/leafA1|metro5/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -50067,10 +50067,10 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro1/pop1/leafD/leafD1|metro1/pop1/leafD/leafD3|0", "metro2/pop2/leafC/leafC2|metro2/pop2/leafD/leafD2|0", - "metro2/pop1/leafC/leafC3|metro2/pop1/leafD/leafD3|0", - "metro5/pop2/leafC/leafC3|metro5/pop2/leafC/leafC4|0" + "metro1/pop1/leafD/leafD1|metro1/pop1/leafD/leafD3|0", + "metro5/pop2/leafC/leafC3|metro5/pop2/leafC/leafC4|0", + "metro2/pop1/leafC/leafC3|metro2/pop1/leafD/leafD3|0" ] }, "failure_trace": null, @@ -50182,8 +50182,8 @@ "excluded_nodes": [], "excluded_links": [ "metro5/pop2/leafC/leafC4|metro5/dc1/dc/dc|0", - "metro5/pop1/leafA/leafA3|metro5/dc1/dc/dc|0", - "metro5/pop1/leafA/leafA1|metro5/dc1/dc/dc|0" + "metro5/pop1/leafA/leafA1|metro5/dc1/dc/dc|0", + "metro5/pop1/leafA/leafA3|metro5/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -50300,8 +50300,8 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro5/pop2/leafA/leafA1|metro5/dc1/dc/dc|0", "metro1/pop1/leafC/leafC1|metro1/dc1/dc/dc|0", + "metro5/pop2/leafA/leafA1|metro5/dc1/dc/dc|0", "metro2/pop1/leafA/leafA2|metro2/dc1/dc/dc|0" ] }, @@ -50421,9 +50421,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro1/pop1/leafB/leafB1|metro1/dc1/dc/dc|0", "metro5/pop1/leafB/leafB1|metro5/dc1/dc/dc|0", - "metro1/pop1/leafB/leafB3|metro1/dc1/dc/dc|0" + "metro1/pop1/leafB/leafB3|metro1/dc1/dc/dc|0", + "metro1/pop1/leafB/leafB1|metro1/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -50544,9 +50544,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro2/pop1/leafD/leafD4|metro2/dc1/dc/dc|0", + "metro2/pop1/leafC/leafC4|metro2/dc1/dc/dc|0", "metro5/pop1/leafD/leafD1|metro5/dc1/dc/dc|0", - "metro2/pop1/leafC/leafC4|metro2/dc1/dc/dc|0" + "metro2/pop1/leafD/leafD4|metro2/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -50785,8 +50785,8 @@ "excluded_nodes": [], "excluded_links": [ "metro2/pop2/leafC/leafC2|metro2/pop2/leafD/leafD2|0", - "metro2/pop2/leafC/leafC1|metro2/pop2/leafC/leafC3|0", "metro1/pop2/leafB/leafB2|metro1/pop2/leafB/leafB3|0", + "metro2/pop2/leafC/leafC1|metro2/pop2/leafC/leafC3|0", "metro2/pop2/leafB/leafB2|metro2/pop2/leafC/leafC2|0" ] }, @@ -50899,8 +50899,8 @@ "excluded_nodes": [], "excluded_links": [ "metro2/pop2/leafA/leafA4|metro2/dc1/dc/dc|0", - "metro5/pop1/leafA/leafA3|metro5/dc1/dc/dc|0", - "metro2/pop1/leafD/leafD1|metro2/dc1/dc/dc|0" + "metro2/pop1/leafD/leafD1|metro2/dc1/dc/dc|0", + "metro5/pop1/leafA/leafA3|metro5/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -51025,9 +51025,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro1/pop2/leafC/leafC1|metro1/dc1/dc/dc|0", "metro2/pop1/leafD/leafD1|metro2/dc1/dc/dc|0", - "metro2/pop2/leafA/leafA3|metro2/dc1/dc/dc|0" + "metro2/pop2/leafA/leafA3|metro2/dc1/dc/dc|0", + "metro1/pop2/leafC/leafC1|metro1/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -51151,8 +51151,8 @@ "excluded_nodes": [], "excluded_links": [ "metro1/pop1/leafC/leafC3|metro1/dc1/dc/dc|0", - "metro1/pop1/leafD/leafD1|metro1/dc1/dc/dc|0", - "metro5/pop1/leafC/leafC1|metro5/dc1/dc/dc|0" + "metro5/pop1/leafC/leafC1|metro5/dc1/dc/dc|0", + "metro1/pop1/leafD/leafD1|metro1/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -51270,9 +51270,9 @@ "excluded_nodes": [], "excluded_links": [ "metro5/pop2/leafB/leafB3|metro5/pop2/leafB/leafB4|0", - "metro1/pop1/leafA/leafA2|metro1/pop1/leafB/leafB2|0", + "metro2/pop1/leafA/leafA2|metro2/pop1/leafD/leafD2|0", "metro5/pop2/leafB/leafB4|metro5/pop2/leafC/leafC4|0", - "metro2/pop1/leafA/leafA2|metro2/pop1/leafD/leafD2|0" + "metro1/pop1/leafA/leafA2|metro1/pop1/leafB/leafB2|0" ] }, "failure_trace": null, @@ -51383,8 +51383,8 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro5/pop2/leafC/leafC2|metro5/dc1/dc/dc|0", "metro2/pop1/leafC/leafC3|metro2/dc1/dc/dc|0", + "metro5/pop2/leafC/leafC2|metro5/dc1/dc/dc|0", "metro1/pop2/leafD/leafD2|metro1/dc1/dc/dc|0" ] }, @@ -51621,9 +51621,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ + "metro5/pop1/leafD/leafD2|metro5/dc1/dc/dc|0", "metro1/pop1/leafA/leafA2|metro1/dc1/dc/dc|0", - "metro2/pop2/leafB/leafB1|metro2/dc1/dc/dc|0", - "metro5/pop1/leafD/leafD2|metro5/dc1/dc/dc|0" + "metro2/pop2/leafB/leafB1|metro2/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -51859,8 +51859,8 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro5/pop1/leafD/leafD1|metro5/dc1/dc/dc|0", "metro5/pop1/leafA/leafA4|metro5/dc1/dc/dc|0", + "metro5/pop1/leafD/leafD1|metro5/dc1/dc/dc|0", "metro5/pop2/leafB/leafB4|metro5/dc1/dc/dc|0" ] }, @@ -52444,8 +52444,8 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro5/pop1/leafA/leafA2|metro5/dc1/dc/dc|0", "metro5/pop1/leafD/leafD2|metro5/dc1/dc/dc|0", + "metro5/pop1/leafA/leafA2|metro5/dc1/dc/dc|0", "metro5/pop2/leafC/leafC1|metro5/dc1/dc/dc|0" ] }, @@ -52564,8 +52564,8 @@ "excluded_nodes": [], "excluded_links": [ "metro2/pop1/leafB/leafB1|metro2/dc1/dc/dc|0", - "metro5/pop2/leafC/leafC3|metro5/dc1/dc/dc|0", - "metro2/pop2/leafC/leafC4|metro2/dc1/dc/dc|0" + "metro2/pop2/leafC/leafC4|metro2/dc1/dc/dc|0", + "metro5/pop2/leafC/leafC3|metro5/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -52684,9 +52684,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro1/pop1/leafB/leafB4|metro1/dc1/dc/dc|0", "metro2/pop1/leafB/leafB3|metro2/dc1/dc/dc|0", - "metro5/pop1/leafC/leafC1|metro5/dc1/dc/dc|0" + "metro5/pop1/leafC/leafC1|metro5/dc1/dc/dc|0", + "metro1/pop1/leafB/leafB4|metro1/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -52805,9 +52805,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro2/pop2/leafA/leafA2|metro2/dc1/dc/dc|0", "metro5/pop1/leafB/leafB1|metro5/dc1/dc/dc|0", - "metro5/pop1/leafB/leafB2|metro5/dc1/dc/dc|0" + "metro5/pop1/leafB/leafB2|metro5/dc1/dc/dc|0", + "metro2/pop2/leafA/leafA2|metro2/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -52928,9 +52928,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro2/pop1/leafD/leafD2|metro2/dc1/dc/dc|0", + "metro2/pop1/leafA/leafA3|metro2/dc1/dc/dc|0", "metro1/pop2/leafA/leafA3|metro1/dc1/dc/dc|0", - "metro2/pop1/leafA/leafA3|metro2/dc1/dc/dc|0" + "metro2/pop1/leafD/leafD2|metro2/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -53048,8 +53048,8 @@ "excluded_nodes": [], "excluded_links": [ "metro2/pop2/leafD/leafD3|metro2/dc1/dc/dc|0", - "metro1/pop1/leafB/leafB1|metro1/dc1/dc/dc|0", - "metro2/pop1/leafC/leafC1|metro2/dc1/dc/dc|0" + "metro2/pop1/leafC/leafC1|metro2/dc1/dc/dc|0", + "metro1/pop1/leafB/leafB1|metro1/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -53172,10 +53172,10 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro1/pop2/leafD/leafD1|metro1/pop2/leafD/leafD3|0", + "metro5/pop1/leafA/leafA3|metro5/pop1/leafD/leafD3|0", "metro5/pop1/leafD/leafD1|metro5/pop1/leafD/leafD2|0", - "metro1/pop2/leafA/leafA1|metro1/pop2/leafB/leafB1|0", - "metro5/pop1/leafA/leafA3|metro5/pop1/leafD/leafD3|0" + "metro1/pop2/leafD/leafD1|metro1/pop2/leafD/leafD3|0", + "metro1/pop2/leafA/leafA1|metro1/pop2/leafB/leafB1|0" ] }, "failure_trace": null, @@ -53286,8 +53286,8 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro5/pop1/leafD/leafD3|metro5/dc1/dc/dc|0", "metro5/pop1/leafB/leafB1|metro5/dc1/dc/dc|0", + "metro5/pop1/leafD/leafD3|metro5/dc1/dc/dc|0", "metro5/pop1/leafA/leafA1|metro5/dc1/dc/dc|0" ] }, @@ -53403,9 +53403,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro5/pop2/leafC/leafC3|metro5/dc1/dc/dc|0", "metro1/pop1/leafB/leafB1|metro1/dc1/dc/dc|0", - "metro1/pop2/leafD/leafD4|metro1/dc1/dc/dc|0" + "metro1/pop2/leafD/leafD4|metro1/dc1/dc/dc|0", + "metro5/pop2/leafC/leafC3|metro5/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -53524,9 +53524,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ + "metro2/pop2/leafD/leafD4|metro2/dc1/dc/dc|0", "metro1/pop1/leafC/leafC1|metro1/dc1/dc/dc|0", - "metro5/pop1/leafA/leafA1|metro5/dc1/dc/dc|0", - "metro2/pop2/leafD/leafD4|metro2/dc1/dc/dc|0" + "metro5/pop1/leafA/leafA1|metro5/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -53650,9 +53650,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ + "metro5/pop1/leafB/leafB3|metro5/dc1/dc/dc|0", "metro5/pop1/leafD/leafD3|metro5/dc1/dc/dc|0", - "metro5/pop2/leafA/leafA2|metro5/dc1/dc/dc|0", - "metro5/pop1/leafB/leafB3|metro5/dc1/dc/dc|0" + "metro5/pop2/leafA/leafA2|metro5/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -53769,9 +53769,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ + "metro1/pop1/leafB/leafB3|metro1/dc1/dc/dc|0", "metro5/pop2/leafA/leafA3|metro5/dc1/dc/dc|0", - "metro2/pop1/leafB/leafB2|metro2/dc1/dc/dc|0", - "metro1/pop1/leafB/leafB3|metro1/dc1/dc/dc|0" + "metro2/pop1/leafB/leafB2|metro2/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -53890,9 +53890,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro5/pop2/leafD/leafD2|metro5/dc1/dc/dc|0", "metro2/pop1/leafC/leafC2|metro2/dc1/dc/dc|0", - "metro1/pop2/leafD/leafD1|metro1/dc1/dc/dc|0" + "metro1/pop2/leafD/leafD1|metro1/dc1/dc/dc|0", + "metro5/pop2/leafD/leafD2|metro5/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -54012,9 +54012,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro1/pop2/leafB/leafB3|metro1/dc1/dc/dc|0", + "metro2/pop1/leafA/leafA3|metro2/dc1/dc/dc|0", "metro2/pop1/leafA/leafA1|metro2/dc1/dc/dc|0", - "metro2/pop1/leafA/leafA3|metro2/dc1/dc/dc|0" + "metro1/pop2/leafB/leafB3|metro1/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -54374,8 +54374,8 @@ "excluded_nodes": [], "excluded_links": [ "metro1/pop1/leafD/leafD1|metro1/dc1/dc/dc|0", - "metro5/pop2/leafD/leafD1|metro5/dc1/dc/dc|0", - "metro2/pop1/leafC/leafC1|metro2/dc1/dc/dc|0" + "metro2/pop1/leafC/leafC1|metro2/dc1/dc/dc|0", + "metro5/pop2/leafD/leafD1|metro5/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -54495,9 +54495,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro2/pop2/leafC/leafC4|metro2/dc1/dc/dc|0", + "metro1/pop2/leafA/leafA4|metro1/dc1/dc/dc|0", "metro5/pop2/leafB/leafB3|metro5/dc1/dc/dc|0", - "metro1/pop2/leafA/leafA4|metro1/dc1/dc/dc|0" + "metro2/pop2/leafC/leafC4|metro2/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -54615,9 +54615,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ + "metro5/pop1/leafB/leafB2|metro5/dc1/dc/dc|0", "metro5/pop1/leafD/leafD3|metro5/dc1/dc/dc|0", - "metro1/pop2/leafC/leafC2|metro1/dc1/dc/dc|0", - "metro5/pop1/leafB/leafB2|metro5/dc1/dc/dc|0" + "metro1/pop2/leafC/leafC2|metro1/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -54735,9 +54735,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro1/pop2/leafB/leafB3|metro1/dc1/dc/dc|0", "metro5/pop1/leafD/leafD3|metro5/dc1/dc/dc|0", - "metro2/pop2/leafB/leafB1|metro2/dc1/dc/dc|0" + "metro2/pop2/leafB/leafB1|metro2/dc1/dc/dc|0", + "metro1/pop2/leafB/leafB3|metro1/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -54859,8 +54859,8 @@ "excluded_nodes": [], "excluded_links": [ "metro2/pop1/leafB/leafB1|metro2/dc1/dc/dc|0", - "metro2/pop1/leafC/leafC2|metro2/dc1/dc/dc|0", - "metro5/pop1/leafB/leafB3|metro5/dc1/dc/dc|0" + "metro5/pop1/leafB/leafB3|metro5/dc1/dc/dc|0", + "metro2/pop1/leafC/leafC2|metro2/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -54977,9 +54977,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ + "metro2/pop1/leafB/leafB2|metro2/dc1/dc/dc|0", "metro5/pop2/leafA/leafA4|metro5/dc1/dc/dc|0", - "metro1/pop2/leafD/leafD3|metro1/dc1/dc/dc|0", - "metro2/pop1/leafB/leafB2|metro2/dc1/dc/dc|0" + "metro1/pop2/leafD/leafD3|metro1/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -55211,8 +55211,8 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro1/pop2/leafB/leafB4|metro1/dc1/dc/dc|0", "metro2/pop2/leafD/leafD3|metro2/dc1/dc/dc|0", + "metro1/pop2/leafB/leafB4|metro1/dc1/dc/dc|0", "metro2/pop1/leafC/leafC3|metro2/dc1/dc/dc|0" ] }, @@ -55459,9 +55459,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro5/pop2/leafB/leafB1|metro5/dc1/dc/dc|0", + "metro2/pop1/leafC/leafC1|metro2/dc1/dc/dc|0", "metro5/pop1/leafD/leafD1|metro5/dc1/dc/dc|0", - "metro2/pop1/leafC/leafC1|metro2/dc1/dc/dc|0" + "metro5/pop2/leafB/leafB1|metro5/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -55580,9 +55580,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ + "metro2/pop1/leafD/leafD3|metro2/dc1/dc/dc|0", "metro5/pop2/leafA/leafA1|metro5/dc1/dc/dc|0", - "metro1/pop2/leafA/leafA3|metro1/dc1/dc/dc|0", - "metro2/pop1/leafD/leafD3|metro2/dc1/dc/dc|0" + "metro1/pop2/leafA/leafA3|metro1/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -55701,10 +55701,10 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro1/pop2/leafA/leafA4|metro1/pop2/leafB/leafB4|0", - "metro1/pop1/leafA/leafA2|metro1/pop1/leafA/leafA4|0", "metro5/pop1/leafC/leafC2|metro5/pop1/leafC/leafC4|0", - "metro2/pop1/leafA/leafA1|metro2/pop1/leafA/leafA2|0" + "metro1/pop2/leafA/leafA4|metro1/pop2/leafB/leafB4|0", + "metro2/pop1/leafA/leafA1|metro2/pop1/leafA/leafA2|0", + "metro1/pop1/leafA/leafA2|metro1/pop1/leafA/leafA4|0" ] }, "failure_trace": null, @@ -55816,8 +55816,8 @@ "excluded_nodes": [], "excluded_links": [ "metro1/pop2/leafA/leafA3|metro1/dc1/dc/dc|0", - "metro2/pop2/leafA/leafA2|metro2/dc1/dc/dc|0", - "metro1/pop2/leafC/leafC3|metro1/dc1/dc/dc|0" + "metro1/pop2/leafC/leafC3|metro1/dc1/dc/dc|0", + "metro2/pop2/leafA/leafA2|metro2/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -55934,9 +55934,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro1/pop1/leafB/leafB2|metro1/dc1/dc/dc|0", "metro1/pop1/leafD/leafD4|metro1/dc1/dc/dc|0", - "metro2/pop1/leafC/leafC1|metro2/dc1/dc/dc|0" + "metro2/pop1/leafC/leafC1|metro2/dc1/dc/dc|0", + "metro1/pop1/leafB/leafB2|metro1/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -56172,9 +56172,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ + "metro2/pop2/leafD/leafD4|metro2/dc1/dc/dc|0", "metro1/pop2/leafB/leafB4|metro1/dc1/dc/dc|0", - "metro2/pop2/leafB/leafB1|metro2/dc1/dc/dc|0", - "metro2/pop2/leafD/leafD4|metro2/dc1/dc/dc|0" + "metro2/pop2/leafB/leafB1|metro2/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -56292,9 +56292,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro1/pop2/leafA/leafA3|metro1/dc1/dc/dc|0", "metro2/pop1/leafA/leafA1|metro2/dc1/dc/dc|0", - "metro2/pop2/leafB/leafB3|metro2/dc1/dc/dc|0" + "metro2/pop2/leafB/leafB3|metro2/dc1/dc/dc|0", + "metro1/pop2/leafA/leafA3|metro1/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -56413,10 +56413,10 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro1/pop1/leafC/leafC2|metro1/pop1/leafC/leafC3|0", - "metro1/pop2/leafA/leafA3|metro1/pop2/leafA/leafA4|0", "metro1/pop2/leafC/leafC1|metro1/pop2/leafC/leafC3|0", - "metro2/pop1/leafA/leafA1|metro2/pop1/leafA/leafA4|0" + "metro1/pop1/leafC/leafC2|metro1/pop1/leafC/leafC3|0", + "metro2/pop1/leafA/leafA1|metro2/pop1/leafA/leafA4|0", + "metro1/pop2/leafA/leafA3|metro1/pop2/leafA/leafA4|0" ] }, "failure_trace": null, @@ -56754,9 +56754,9 @@ "excluded_nodes": [], "excluded_links": [ "metro5/pop1/leafC/leafC2|metro5/pop1/leafC/leafC4|0", - "metro2/pop1/leafC/leafC1|metro2/pop1/leafD/leafD1|0", + "metro2/pop2/leafD/leafD1|metro2/pop2/leafD/leafD3|0", "metro2/pop2/leafB/leafB1|metro2/pop2/leafB/leafB2|0", - "metro2/pop2/leafD/leafD1|metro2/pop2/leafD/leafD3|0" + "metro2/pop1/leafC/leafC1|metro2/pop1/leafD/leafD1|0" ] }, "failure_trace": null, @@ -56981,10 +56981,10 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro2/pop2/leafC/leafC1|metro2/pop2/leafC/leafC3|0", "metro5/pop1/leafC/leafC1|metro5/pop1/leafC/leafC4|0", - "metro5/pop1/leafC/leafC4|metro5/pop1/leafD/leafD4|0", - "metro5/pop2/leafD/leafD2|metro5/pop2/leafD/leafD3|0" + "metro5/pop2/leafD/leafD2|metro5/pop2/leafD/leafD3|0", + "metro2/pop2/leafC/leafC1|metro2/pop2/leafC/leafC3|0", + "metro5/pop1/leafC/leafC4|metro5/pop1/leafD/leafD4|0" ] }, "failure_trace": null, @@ -57095,8 +57095,8 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro2/pop1/leafA/leafA2|metro2/pop1/leafB/leafB2|0", "metro5/pop1/leafB/leafB2|metro5/pop1/leafB/leafB4|0", + "metro2/pop1/leafA/leafA2|metro2/pop1/leafB/leafB2|0", "metro5/pop2/leafB/leafB3|metro5/pop2/leafC/leafC3|0", "metro2/pop2/leafC/leafC1|metro2/pop2/leafC/leafC4|0" ] @@ -57209,9 +57209,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ + "metro5/pop1/leafB/leafB1|metro5/dc1/dc/dc|0", "metro5/pop1/leafB/leafB4|metro5/dc1/dc/dc|0", - "metro1/pop1/leafA/leafA3|metro1/dc1/dc/dc|0", - "metro5/pop1/leafB/leafB1|metro5/dc1/dc/dc|0" + "metro1/pop1/leafA/leafA3|metro1/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -57328,9 +57328,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro5/pop1/leafD/leafD3|metro5/dc1/dc/dc|0", + "metro2/pop1/leafA/leafA3|metro2/dc1/dc/dc|0", "metro1/pop1/leafD/leafD1|metro1/dc1/dc/dc|0", - "metro2/pop1/leafA/leafA3|metro2/dc1/dc/dc|0" + "metro5/pop1/leafD/leafD3|metro5/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -57450,8 +57450,8 @@ "excluded_nodes": [], "excluded_links": [ "metro1/pop1/leafA/leafA1|metro1/dc1/dc/dc|0", - "metro5/pop1/leafB/leafB4|metro5/dc1/dc/dc|0", - "metro2/pop2/leafC/leafC3|metro2/dc1/dc/dc|0" + "metro2/pop2/leafC/leafC3|metro2/dc1/dc/dc|0", + "metro5/pop1/leafB/leafB4|metro5/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -57698,8 +57698,8 @@ "excluded_nodes": [], "excluded_links": [ "metro2/pop2/leafC/leafC1|metro2/pop2/leafD/leafD1|0", - "metro2/pop2/leafA/leafA3|metro2/pop2/leafD/leafD3|0", "metro2/pop1/leafA/leafA2|metro2/pop1/leafA/leafA4|0", + "metro2/pop2/leafA/leafA3|metro2/pop2/leafD/leafD3|0", "metro2/pop2/leafB/leafB2|metro2/pop2/leafC/leafC2|0" ] }, @@ -57811,9 +57811,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro2/pop1/leafA/leafA4|metro2/dc1/dc/dc|0", "metro2/pop2/leafC/leafC4|metro2/dc1/dc/dc|0", - "metro2/pop2/leafB/leafB4|metro2/dc1/dc/dc|0" + "metro2/pop2/leafB/leafB4|metro2/dc1/dc/dc|0", + "metro2/pop1/leafA/leafA4|metro2/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -57932,8 +57932,8 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro5/pop2/leafA/leafA4|metro5/dc1/dc/dc|0", "metro1/pop2/leafA/leafA1|metro1/dc1/dc/dc|0", + "metro5/pop2/leafA/leafA4|metro5/dc1/dc/dc|0", "metro1/pop2/leafD/leafD4|metro1/dc1/dc/dc|0" ] }, @@ -58050,8 +58050,8 @@ "excluded_nodes": [], "excluded_links": [ "metro2/pop2/leafA/leafA4|metro2/dc1/dc/dc|0", - "metro5/pop1/leafD/leafD1|metro5/dc1/dc/dc|0", - "metro5/pop1/leafB/leafB3|metro5/dc1/dc/dc|0" + "metro5/pop1/leafB/leafB3|metro5/dc1/dc/dc|0", + "metro5/pop1/leafD/leafD1|metro5/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -58172,9 +58172,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ + "metro2/pop1/leafC/leafC1|metro2/dc1/dc/dc|0", "metro1/pop2/leafD/leafD3|metro1/dc1/dc/dc|0", - "metro5/pop2/leafC/leafC1|metro5/dc1/dc/dc|0", - "metro2/pop1/leafC/leafC1|metro2/dc1/dc/dc|0" + "metro5/pop2/leafC/leafC1|metro5/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -58292,10 +58292,10 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro5/pop1/leafD/leafD2|metro5/pop1/leafD/leafD3|0", - "metro1/pop1/leafA/leafA3|metro1/pop1/leafD/leafD3|0", "metro5/pop2/leafC/leafC3|metro5/pop2/leafD/leafD3|0", - "metro5/pop1/leafA/leafA2|metro5/pop1/leafA/leafA3|0" + "metro5/pop1/leafA/leafA2|metro5/pop1/leafA/leafA3|0", + "metro5/pop1/leafD/leafD2|metro5/pop1/leafD/leafD3|0", + "metro1/pop1/leafA/leafA3|metro1/pop1/leafD/leafD3|0" ] }, "failure_trace": null, @@ -58406,10 +58406,10 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro2/pop1/leafD/leafD3|metro2/pop1/leafD/leafD4|0", "metro5/pop1/leafC/leafC3|metro5/pop1/leafC/leafC4|0", - "metro2/pop2/leafC/leafC1|metro2/pop2/leafC/leafC3|0", - "metro1/pop1/leafA/leafA1|metro1/pop1/leafA/leafA3|0" + "metro2/pop1/leafD/leafD3|metro2/pop1/leafD/leafD4|0", + "metro1/pop1/leafA/leafA1|metro1/pop1/leafA/leafA3|0", + "metro2/pop2/leafC/leafC1|metro2/pop2/leafC/leafC3|0" ] }, "failure_trace": null, @@ -58520,9 +58520,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro2/pop2/leafD/leafD2|metro2/dc1/dc/dc|0", "metro5/pop1/leafB/leafB1|metro5/dc1/dc/dc|0", - "metro2/pop1/leafC/leafC3|metro2/dc1/dc/dc|0" + "metro2/pop1/leafC/leafC3|metro2/dc1/dc/dc|0", + "metro2/pop2/leafD/leafD2|metro2/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -58645,9 +58645,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro5/pop1/leafA/leafA1|metro5/dc1/dc/dc|0", + "metro2/pop1/leafD/leafD3|metro2/dc1/dc/dc|0", "metro2/pop2/leafC/leafC2|metro2/dc1/dc/dc|0", - "metro2/pop1/leafD/leafD3|metro2/dc1/dc/dc|0" + "metro5/pop1/leafA/leafA1|metro5/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -58772,9 +58772,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro5/pop1/leafD/leafD4|metro5/dc1/dc/dc|0", + "metro5/pop1/leafC/leafC1|metro5/dc1/dc/dc|0", "metro2/pop2/leafC/leafC3|metro2/dc1/dc/dc|0", - "metro5/pop1/leafC/leafC1|metro5/dc1/dc/dc|0" + "metro5/pop1/leafD/leafD4|metro5/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -58896,8 +58896,8 @@ "excluded_nodes": [], "excluded_links": [ "metro2/pop2/leafA/leafA4|metro2/dc1/dc/dc|0", - "metro5/pop2/leafC/leafC1|metro5/dc1/dc/dc|0", - "metro2/pop1/leafA/leafA1|metro2/dc1/dc/dc|0" + "metro2/pop1/leafA/leafA1|metro2/dc1/dc/dc|0", + "metro5/pop2/leafC/leafC1|metro5/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -59016,9 +59016,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro1/pop2/leafA/leafA3|metro1/dc1/dc/dc|0", + "metro1/pop1/leafA/leafA4|metro1/dc1/dc/dc|0", "metro5/pop2/leafB/leafB2|metro5/dc1/dc/dc|0", - "metro1/pop1/leafA/leafA4|metro1/dc1/dc/dc|0" + "metro1/pop2/leafA/leafA3|metro1/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -59250,9 +59250,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro2/pop1/leafD/leafD2|metro2/dc1/dc/dc|0", "metro1/pop1/leafC/leafC1|metro1/dc1/dc/dc|0", - "metro5/pop2/leafA/leafA2|metro5/dc1/dc/dc|0" + "metro5/pop2/leafA/leafA2|metro5/dc1/dc/dc|0", + "metro2/pop1/leafD/leafD2|metro2/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -59373,9 +59373,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ + "metro2/pop1/leafC/leafC3|metro2/dc1/dc/dc|0", "metro1/pop2/leafD/leafD3|metro1/dc1/dc/dc|0", - "metro5/pop2/leafC/leafC1|metro5/dc1/dc/dc|0", - "metro2/pop1/leafC/leafC3|metro2/dc1/dc/dc|0" + "metro5/pop2/leafC/leafC1|metro5/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -59497,8 +59497,8 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro5/pop1/leafB/leafB4|metro5/dc1/dc/dc|0", "metro1/pop2/leafB/leafB1|metro1/dc1/dc/dc|0", + "metro5/pop1/leafB/leafB4|metro5/dc1/dc/dc|0", "metro2/pop1/leafD/leafD1|metro2/dc1/dc/dc|0" ] }, @@ -59620,9 +59620,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro1/pop1/leafC/leafC2|metro1/dc1/dc/dc|0", + "metro2/pop1/leafA/leafA3|metro2/dc1/dc/dc|0", "metro1/pop2/leafD/leafD3|metro1/dc1/dc/dc|0", - "metro2/pop1/leafA/leafA3|metro2/dc1/dc/dc|0" + "metro1/pop1/leafC/leafC2|metro1/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -59743,8 +59743,8 @@ "excluded_nodes": [], "excluded_links": [ "metro5/pop2/leafA/leafA3|metro5/dc1/dc/dc|0", - "metro2/pop1/leafA/leafA4|metro2/dc1/dc/dc|0", - "metro2/pop1/leafD/leafD4|metro2/dc1/dc/dc|0" + "metro2/pop1/leafD/leafD4|metro2/dc1/dc/dc|0", + "metro2/pop1/leafA/leafA4|metro2/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -59862,8 +59862,8 @@ "excluded_nodes": [], "excluded_links": [ "metro2/pop1/leafB/leafB1|metro2/dc1/dc/dc|0", - "metro2/pop2/leafA/leafA2|metro2/dc1/dc/dc|0", - "metro1/pop1/leafA/leafA4|metro1/dc1/dc/dc|0" + "metro1/pop1/leafA/leafA4|metro1/dc1/dc/dc|0", + "metro2/pop2/leafA/leafA2|metro2/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -59987,8 +59987,8 @@ "excluded_nodes": [], "excluded_links": [ "metro2/pop2/leafD/leafD3|metro2/dc1/dc/dc|0", - "metro1/pop1/leafC/leafC2|metro1/dc1/dc/dc|0", - "metro2/pop1/leafC/leafC3|metro2/dc1/dc/dc|0" + "metro2/pop1/leafC/leafC3|metro2/dc1/dc/dc|0", + "metro1/pop1/leafC/leafC2|metro1/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -60111,9 +60111,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro5/pop2/leafC/leafC3|metro5/dc1/dc/dc|0", + "metro5/pop2/leafC/leafC4|metro5/dc1/dc/dc|0", "metro2/pop2/leafC/leafC2|metro2/dc1/dc/dc|0", - "metro5/pop2/leafC/leafC4|metro5/dc1/dc/dc|0" + "metro5/pop2/leafC/leafC3|metro5/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -60230,9 +60230,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ + "metro5/pop1/leafB/leafB1|metro5/dc1/dc/dc|0", "metro5/pop2/leafC/leafC3|metro5/dc1/dc/dc|0", - "metro5/pop2/leafD/leafD1|metro5/dc1/dc/dc|0", - "metro5/pop1/leafB/leafB1|metro5/dc1/dc/dc|0" + "metro5/pop2/leafD/leafD1|metro5/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -60470,9 +60470,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro5/pop2/leafD/leafD2|metro5/dc1/dc/dc|0", "metro2/pop2/leafA/leafA4|metro2/dc1/dc/dc|0", - "metro5/pop1/leafD/leafD2|metro5/dc1/dc/dc|0" + "metro5/pop1/leafD/leafD2|metro5/dc1/dc/dc|0", + "metro5/pop2/leafD/leafD2|metro5/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -60595,9 +60595,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro2/pop2/leafB/leafB1|metro2/dc1/dc/dc|0", + "metro2/pop1/leafC/leafC4|metro2/dc1/dc/dc|0", "metro5/pop1/leafD/leafD4|metro5/dc1/dc/dc|0", - "metro2/pop1/leafC/leafC4|metro2/dc1/dc/dc|0" + "metro2/pop2/leafB/leafB1|metro2/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -60722,8 +60722,8 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro2/pop2/leafC/leafC4|metro2/dc1/dc/dc|0", "metro5/pop2/leafB/leafB1|metro5/dc1/dc/dc|0", + "metro2/pop2/leafC/leafC4|metro2/dc1/dc/dc|0", "metro5/pop1/leafA/leafA4|metro5/dc1/dc/dc|0" ] }, @@ -60964,10 +60964,10 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro2/pop1/leafC/leafC2|metro2/pop1/leafC/leafC3|0", "metro5/pop1/leafA/leafA2|metro5/pop1/leafD/leafD2|0", - "metro2/pop2/leafB/leafB3|metro2/pop2/leafB/leafB4|0", - "metro1/pop1/leafB/leafB1|metro1/pop1/leafC/leafC1|0" + "metro1/pop1/leafB/leafB1|metro1/pop1/leafC/leafC1|0", + "metro2/pop1/leafC/leafC2|metro2/pop1/leafC/leafC3|0", + "metro2/pop2/leafB/leafB3|metro2/pop2/leafB/leafB4|0" ] }, "failure_trace": null, @@ -61078,10 +61078,10 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ + "metro2/pop2/leafA/leafA1|metro2/pop2/leafD/leafD1|0", "metro2/pop2/leafC/leafC3|metro2/pop2/leafC/leafC4|0", - "metro5/pop2/leafB/leafB4|metro5/pop2/leafC/leafC4|0", "metro1/pop1/leafB/leafB1|metro1/pop1/leafB/leafB4|0", - "metro2/pop2/leafA/leafA1|metro2/pop2/leafD/leafD1|0" + "metro5/pop2/leafB/leafB4|metro5/pop2/leafC/leafC4|0" ] }, "failure_trace": null, @@ -61192,9 +61192,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro2/pop1/leafD/leafD2|metro2/dc1/dc/dc|0", + "metro2/pop2/leafB/leafB2|metro2/dc1/dc/dc|0", "metro1/pop1/leafC/leafC2|metro1/dc1/dc/dc|0", - "metro2/pop2/leafB/leafB2|metro2/dc1/dc/dc|0" + "metro2/pop1/leafD/leafD2|metro2/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -61321,8 +61321,8 @@ "excluded_nodes": [], "excluded_links": [ "metro5/pop1/leafA/leafA2|metro5/dc1/dc/dc|0", - "metro5/pop1/leafC/leafC4|metro5/dc1/dc/dc|0", - "metro5/pop2/leafB/leafB3|metro5/dc1/dc/dc|0" + "metro5/pop2/leafB/leafB3|metro5/dc1/dc/dc|0", + "metro5/pop1/leafC/leafC4|metro5/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -61683,9 +61683,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ + "metro2/pop1/leafC/leafC4|metro2/dc1/dc/dc|0", "metro2/pop2/leafA/leafA1|metro2/dc1/dc/dc|0", - "metro5/pop2/leafD/leafD4|metro5/dc1/dc/dc|0", - "metro2/pop1/leafC/leafC4|metro2/dc1/dc/dc|0" + "metro5/pop2/leafD/leafD4|metro5/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -61808,10 +61808,10 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro1/pop1/leafB/leafB1|metro1/pop1/leafB/leafB4|0", "metro5/pop1/leafD/leafD1|metro5/pop1/leafD/leafD2|0", - "metro2/pop2/leafB/leafB3|metro2/pop2/leafB/leafB4|0", - "metro5/pop2/leafC/leafC2|metro5/pop2/leafD/leafD2|0" + "metro5/pop2/leafC/leafC2|metro5/pop2/leafD/leafD2|0", + "metro1/pop1/leafB/leafB1|metro1/pop1/leafB/leafB4|0", + "metro2/pop2/leafB/leafB3|metro2/pop2/leafB/leafB4|0" ] }, "failure_trace": null, @@ -62047,8 +62047,8 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro1/pop2/leafC/leafC4|metro1/dc1/dc/dc|0", "metro5/pop1/leafB/leafB1|metro5/dc1/dc/dc|0", + "metro1/pop2/leafC/leafC4|metro1/dc1/dc/dc|0", "metro1/pop1/leafB/leafB3|metro1/dc1/dc/dc|0" ] }, @@ -62169,9 +62169,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro2/pop1/leafD/leafD4|metro2/dc1/dc/dc|0", "metro2/pop1/leafC/leafC4|metro2/dc1/dc/dc|0", - "metro2/pop1/leafB/leafB2|metro2/dc1/dc/dc|0" + "metro2/pop1/leafB/leafB2|metro2/dc1/dc/dc|0", + "metro2/pop1/leafD/leafD4|metro2/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -62286,10 +62286,10 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro1/pop1/leafB/leafB1|metro1/pop1/leafB/leafB2|0", - "metro2/pop2/leafA/leafA1|metro2/pop2/leafA/leafA3|0", + "metro2/pop1/leafC/leafC2|metro2/pop1/leafC/leafC3|0", "metro5/pop2/leafC/leafC3|metro5/pop2/leafD/leafD3|0", - "metro2/pop1/leafC/leafC2|metro2/pop1/leafC/leafC3|0" + "metro1/pop1/leafB/leafB1|metro1/pop1/leafB/leafB2|0", + "metro2/pop2/leafA/leafA1|metro2/pop2/leafA/leafA3|0" ] }, "failure_trace": null, @@ -62401,8 +62401,8 @@ "excluded_nodes": [], "excluded_links": [ "metro1/pop1/leafD/leafD4|metro1/dc1/dc/dc|0", - "metro5/pop2/leafD/leafD4|metro5/dc1/dc/dc|0", - "metro1/pop2/leafD/leafD1|metro1/dc1/dc/dc|0" + "metro1/pop2/leafD/leafD1|metro1/dc1/dc/dc|0", + "metro5/pop2/leafD/leafD4|metro5/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -62525,8 +62525,8 @@ "excluded_nodes": [], "excluded_links": [ "metro5/pop1/leafA/leafA2|metro5/dc1/dc/dc|0", - "metro2/pop2/leafD/leafD1|metro2/dc1/dc/dc|0", - "metro1/pop2/leafC/leafC3|metro1/dc1/dc/dc|0" + "metro1/pop2/leafC/leafC3|metro1/dc1/dc/dc|0", + "metro2/pop2/leafD/leafD1|metro2/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -62768,9 +62768,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ + "metro2/pop1/leafD/leafD1|metro2/dc1/dc/dc|0", "metro5/pop2/leafA/leafA2|metro5/dc1/dc/dc|0", - "metro1/pop2/leafD/leafD2|metro1/dc1/dc/dc|0", - "metro2/pop1/leafD/leafD1|metro2/dc1/dc/dc|0" + "metro1/pop2/leafD/leafD2|metro1/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -62892,8 +62892,8 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro5/pop1/leafC/leafC2|metro5/dc1/dc/dc|0", "metro5/pop1/leafA/leafA4|metro5/dc1/dc/dc|0", + "metro5/pop1/leafC/leafC2|metro5/dc1/dc/dc|0", "metro2/pop2/leafC/leafC3|metro2/dc1/dc/dc|0" ] }, @@ -63138,9 +63138,9 @@ "excluded_nodes": [], "excluded_links": [ "metro1/pop1/leafC/leafC2|metro1/pop1/leafC/leafC3|0", + "metro5/pop2/leafC/leafC1|metro5/pop2/leafC/leafC2|0", "metro2/pop2/leafB/leafB1|metro2/pop2/leafB/leafB3|0", - "metro1/pop1/leafA/leafA2|metro1/pop1/leafA/leafA4|0", - "metro5/pop2/leafC/leafC1|metro5/pop2/leafC/leafC2|0" + "metro1/pop1/leafA/leafA2|metro1/pop1/leafA/leafA4|0" ] }, "failure_trace": null, @@ -63251,9 +63251,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ + "metro1/pop2/leafB/leafB2|metro1/dc1/dc/dc|0", "metro5/pop1/leafB/leafB2|metro5/dc1/dc/dc|0", - "metro2/pop2/leafD/leafD1|metro2/dc1/dc/dc|0", - "metro1/pop2/leafB/leafB2|metro1/dc1/dc/dc|0" + "metro2/pop2/leafD/leafD1|metro2/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -63375,9 +63375,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro1/pop2/leafB/leafB3|metro1/dc1/dc/dc|0", + "metro5/pop1/leafC/leafC1|metro5/dc1/dc/dc|0", "metro1/pop2/leafC/leafC3|metro1/dc1/dc/dc|0", - "metro5/pop1/leafC/leafC1|metro5/dc1/dc/dc|0" + "metro1/pop2/leafB/leafB3|metro1/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -63497,8 +63497,8 @@ "excluded_nodes": [], "excluded_links": [ "metro5/pop1/leafD/leafD2|metro5/dc1/dc/dc|0", - "metro2/pop2/leafD/leafD1|metro2/dc1/dc/dc|0", - "metro2/pop1/leafB/leafB3|metro2/dc1/dc/dc|0" + "metro2/pop1/leafB/leafB3|metro2/dc1/dc/dc|0", + "metro2/pop2/leafD/leafD1|metro2/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -63621,9 +63621,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro5/pop2/leafD/leafD1|metro5/dc1/dc/dc|0", "metro1/pop1/leafD/leafD4|metro1/dc1/dc/dc|0", - "metro2/pop1/leafA/leafA1|metro2/dc1/dc/dc|0" + "metro2/pop1/leafA/leafA1|metro2/dc1/dc/dc|0", + "metro5/pop2/leafD/leafD1|metro5/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -63744,9 +63744,9 @@ "excluded_nodes": [], "excluded_links": [ "metro1/pop1/leafC/leafC1|metro1/pop1/leafC/leafC2|0", + "metro5/pop1/leafB/leafB4|metro5/pop1/leafC/leafC4|0", "metro1/pop2/leafA/leafA2|metro1/pop2/leafD/leafD2|0", - "metro2/pop1/leafA/leafA3|metro2/pop1/leafA/leafA4|0", - "metro5/pop1/leafB/leafB4|metro5/pop1/leafC/leafC4|0" + "metro2/pop1/leafA/leafA3|metro2/pop1/leafA/leafA4|0" ] }, "failure_trace": null, @@ -63857,9 +63857,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro5/pop2/leafB/leafB2|metro5/dc1/dc/dc|0", "metro2/pop2/leafC/leafC2|metro2/dc1/dc/dc|0", - "metro2/pop2/leafD/leafD4|metro2/dc1/dc/dc|0" + "metro2/pop2/leafD/leafD4|metro2/dc1/dc/dc|0", + "metro5/pop2/leafB/leafB2|metro5/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -63977,9 +63977,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro2/pop1/leafB/leafB2|metro2/dc1/dc/dc|0", "metro2/pop2/leafA/leafA4|metro2/dc1/dc/dc|0", - "metro2/pop1/leafD/leafD3|metro2/dc1/dc/dc|0" + "metro2/pop1/leafD/leafD3|metro2/dc1/dc/dc|0", + "metro2/pop1/leafB/leafB2|metro2/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -64102,10 +64102,10 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro2/pop2/leafD/leafD2|metro2/pop2/leafD/leafD3|0", - "metro5/pop1/leafC/leafC4|metro5/pop1/leafD/leafD4|0", "metro1/pop1/leafA/leafA1|metro1/pop1/leafD/leafD1|0", - "metro1/pop2/leafA/leafA2|metro1/pop2/leafA/leafA4|0" + "metro1/pop2/leafA/leafA2|metro1/pop2/leafA/leafA4|0", + "metro5/pop1/leafC/leafC4|metro5/pop1/leafD/leafD4|0", + "metro2/pop2/leafD/leafD2|metro2/pop2/leafD/leafD3|0" ] }, "failure_trace": null, @@ -64216,9 +64216,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro2/pop1/leafD/leafD4|metro2/dc1/dc/dc|0", + "metro2/pop1/leafA/leafA3|metro2/dc1/dc/dc|0", "metro1/pop2/leafD/leafD3|metro1/dc1/dc/dc|0", - "metro2/pop1/leafA/leafA3|metro2/dc1/dc/dc|0" + "metro2/pop1/leafD/leafD4|metro2/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -64451,9 +64451,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro2/pop1/leafA/leafA4|metro2/dc1/dc/dc|0", + "metro5/pop1/leafD/leafD3|metro5/dc1/dc/dc|0", "metro5/pop1/leafB/leafB4|metro5/dc1/dc/dc|0", - "metro5/pop1/leafD/leafD3|metro5/dc1/dc/dc|0" + "metro2/pop1/leafA/leafA4|metro2/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -64571,8 +64571,8 @@ "excluded_nodes": [], "excluded_links": [ "metro2/pop1/leafA/leafA1|metro2/dc1/dc/dc|0", - "metro5/pop1/leafA/leafA3|metro5/dc1/dc/dc|0", - "metro1/pop2/leafC/leafC1|metro1/dc1/dc/dc|0" + "metro1/pop2/leafC/leafC1|metro1/dc1/dc/dc|0", + "metro5/pop1/leafA/leafA3|metro5/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -64693,10 +64693,10 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro2/pop1/leafB/leafB1|metro2/pop1/leafB/leafB3|0", - "metro2/pop1/leafA/leafA2|metro2/pop1/leafA/leafA3|0", + "metro2/pop2/leafB/leafB2|metro2/pop2/leafB/leafB3|0", "metro1/pop1/leafD/leafD3|metro1/pop1/leafD/leafD4|0", - "metro2/pop2/leafB/leafB2|metro2/pop2/leafB/leafB3|0" + "metro2/pop1/leafB/leafB1|metro2/pop1/leafB/leafB3|0", + "metro2/pop1/leafA/leafA2|metro2/pop1/leafA/leafA3|0" ] }, "failure_trace": null, @@ -64807,9 +64807,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro1/pop1/leafB/leafB1|metro1/dc1/dc/dc|0", "metro2/pop1/leafA/leafA3|metro2/dc1/dc/dc|0", - "metro5/pop1/leafC/leafC3|metro5/dc1/dc/dc|0" + "metro5/pop1/leafC/leafC3|metro5/dc1/dc/dc|0", + "metro1/pop1/leafB/leafB1|metro1/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -65041,9 +65041,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro1/pop1/leafA/leafA3|metro1/pop1/leafB/leafB3|0", "metro5/pop1/leafB/leafB2|metro5/pop1/leafB/leafB4|0", "metro5/pop1/leafB/leafB4|metro5/pop1/leafC/leafC4|0", + "metro1/pop1/leafA/leafA3|metro1/pop1/leafB/leafB3|0", "metro2/pop2/leafB/leafB2|metro2/pop2/leafB/leafB3|0" ] }, @@ -65156,8 +65156,8 @@ "excluded_nodes": [], "excluded_links": [ "metro5/pop1/leafC/leafC4|metro5/dc1/dc/dc|0", - "metro5/pop1/leafD/leafD3|metro5/dc1/dc/dc|0", - "metro1/pop1/leafB/leafB3|metro1/dc1/dc/dc|0" + "metro1/pop1/leafB/leafB3|metro1/dc1/dc/dc|0", + "metro5/pop1/leafD/leafD3|metro5/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -65274,9 +65274,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ + "metro1/pop2/leafA/leafA4|metro1/dc1/dc/dc|0", "metro5/pop1/leafD/leafD3|metro5/dc1/dc/dc|0", - "metro5/pop1/leafB/leafB2|metro5/dc1/dc/dc|0", - "metro1/pop2/leafA/leafA4|metro1/dc1/dc/dc|0" + "metro5/pop1/leafB/leafB2|metro5/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -65391,9 +65391,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro5/pop1/leafC/leafC3|metro5/dc1/dc/dc|0", "metro2/pop1/leafB/leafB3|metro2/dc1/dc/dc|0", - "metro1/pop2/leafA/leafA4|metro1/dc1/dc/dc|0" + "metro1/pop2/leafA/leafA4|metro1/dc1/dc/dc|0", + "metro5/pop1/leafC/leafC3|metro5/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -65510,9 +65510,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro2/pop1/leafA/leafA4|metro2/dc1/dc/dc|0", "metro5/pop1/leafB/leafB2|metro5/dc1/dc/dc|0", - "metro5/pop1/leafA/leafA1|metro5/dc1/dc/dc|0" + "metro5/pop1/leafA/leafA1|metro5/dc1/dc/dc|0", + "metro2/pop1/leafA/leafA4|metro2/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -65629,9 +65629,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ + "metro5/pop1/leafC/leafC1|metro5/pop1/leafC/leafC4|0", "metro2/pop2/leafB/leafB3|metro2/pop2/leafC/leafC3|0", "metro2/pop2/leafC/leafC1|metro2/pop2/leafC/leafC3|0", - "metro5/pop1/leafC/leafC1|metro5/pop1/leafC/leafC4|0", "metro5/pop1/leafC/leafC1|metro5/pop1/leafC/leafC3|0" ] }, @@ -65857,8 +65857,8 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro5/pop2/leafA/leafA4|metro5/dc1/dc/dc|0", "metro1/pop1/leafC/leafC3|metro1/dc1/dc/dc|0", + "metro5/pop2/leafA/leafA4|metro5/dc1/dc/dc|0", "metro5/pop1/leafC/leafC1|metro5/dc1/dc/dc|0" ] }, @@ -65978,10 +65978,10 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro5/pop1/leafA/leafA3|metro5/pop1/leafB/leafB3|0", - "metro2/pop1/leafA/leafA4|metro2/pop1/leafD/leafD4|0", + "metro2/pop2/leafC/leafC2|metro2/pop2/leafC/leafC4|0", "metro2/pop1/leafB/leafB1|metro2/pop1/leafB/leafB4|0", - "metro2/pop2/leafC/leafC2|metro2/pop2/leafC/leafC4|0" + "metro2/pop1/leafA/leafA4|metro2/pop1/leafD/leafD4|0", + "metro5/pop1/leafA/leafA3|metro5/pop1/leafB/leafB3|0" ] }, "failure_trace": null, @@ -66092,9 +66092,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro5/pop2/leafC/leafC3|metro5/dc1/dc/dc|0", + "metro2/pop2/leafA/leafA2|metro2/dc1/dc/dc|0", "metro5/pop2/leafB/leafB2|metro5/dc1/dc/dc|0", - "metro2/pop2/leafA/leafA2|metro2/dc1/dc/dc|0" + "metro5/pop2/leafC/leafC3|metro5/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -66333,9 +66333,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro5/pop2/leafD/leafD2|metro5/dc1/dc/dc|0", "metro5/pop2/leafC/leafC4|metro5/dc1/dc/dc|0", - "metro2/pop1/leafB/leafB2|metro2/dc1/dc/dc|0" + "metro2/pop1/leafB/leafB2|metro2/dc1/dc/dc|0", + "metro5/pop2/leafD/leafD2|metro5/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -66450,10 +66450,10 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro2/pop1/leafD/leafD2|metro2/pop1/leafD/leafD3|0", - "metro5/pop2/leafA/leafA3|metro5/pop2/leafD/leafD3|0", "metro2/pop2/leafB/leafB4|metro2/pop2/leafC/leafC4|0", - "metro1/pop2/leafB/leafB2|metro1/pop2/leafB/leafB4|0" + "metro1/pop2/leafB/leafB2|metro1/pop2/leafB/leafB4|0", + "metro5/pop2/leafA/leafA3|metro5/pop2/leafD/leafD3|0", + "metro2/pop1/leafD/leafD2|metro2/pop1/leafD/leafD3|0" ] }, "failure_trace": null, @@ -66564,8 +66564,8 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro1/pop2/leafA/leafA2|metro1/dc1/dc/dc|0", "metro5/pop2/leafB/leafB1|metro5/dc1/dc/dc|0", + "metro1/pop2/leafA/leafA2|metro1/dc1/dc/dc|0", "metro1/pop1/leafD/leafD3|metro1/dc1/dc/dc|0" ] }, @@ -66684,8 +66684,8 @@ "excluded_nodes": [], "excluded_links": [ "metro1/pop1/leafB/leafB2|metro1/dc1/dc/dc|0", - "metro2/pop2/leafB/leafB4|metro2/dc1/dc/dc|0", - "metro2/pop2/leafB/leafB3|metro2/dc1/dc/dc|0" + "metro2/pop2/leafB/leafB3|metro2/dc1/dc/dc|0", + "metro2/pop2/leafB/leafB4|metro2/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -66806,10 +66806,10 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro5/pop1/leafA/leafA1|metro5/pop1/leafA/leafA2|0", "metro1/pop1/leafB/leafB2|metro1/pop1/leafC/leafC2|0", + "metro5/pop1/leafC/leafC3|metro5/pop1/leafD/leafD3|0", "metro2/pop1/leafA/leafA1|metro2/pop1/leafB/leafB1|0", - "metro5/pop1/leafC/leafC3|metro5/pop1/leafD/leafD3|0" + "metro5/pop1/leafA/leafA1|metro5/pop1/leafA/leafA2|0" ] }, "failure_trace": null, @@ -67039,10 +67039,10 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro1/pop1/leafC/leafC3|metro1/pop1/leafC/leafC4|0", "metro1/pop2/leafC/leafC1|metro1/pop2/leafC/leafC3|0", + "metro5/pop2/leafC/leafC1|metro5/pop2/leafC/leafC2|0", "metro2/pop2/leafB/leafB1|metro2/pop2/leafC/leafC1|0", - "metro5/pop2/leafC/leafC1|metro5/pop2/leafC/leafC2|0" + "metro1/pop1/leafC/leafC3|metro1/pop1/leafC/leafC4|0" ] }, "failure_trace": null, @@ -67153,10 +67153,10 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ + "metro2/pop1/leafA/leafA2|metro2/pop1/leafD/leafD2|0", "metro1/pop1/leafC/leafC1|metro1/pop1/leafC/leafC3|0", "metro1/pop2/leafC/leafC2|metro1/pop2/leafD/leafD2|0", - "metro5/pop2/leafA/leafA3|metro5/pop2/leafD/leafD3|0", - "metro2/pop1/leafA/leafA2|metro2/pop1/leafD/leafD2|0" + "metro5/pop2/leafA/leafA3|metro5/pop2/leafD/leafD3|0" ] }, "failure_trace": null, @@ -67267,9 +67267,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ + "metro2/pop1/leafC/leafC1|metro2/dc1/dc/dc|0", "metro2/pop2/leafB/leafB1|metro2/dc1/dc/dc|0", - "metro1/pop1/leafD/leafD3|metro1/dc1/dc/dc|0", - "metro2/pop1/leafC/leafC1|metro2/dc1/dc/dc|0" + "metro1/pop1/leafD/leafD3|metro1/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -67392,10 +67392,10 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro1/pop1/leafC/leafC1|metro1/pop1/leafC/leafC3|0", "metro2/pop2/leafC/leafC2|metro2/pop2/leafD/leafD2|0", - "metro2/pop2/leafC/leafC1|metro2/pop2/leafC/leafC3|0", - "metro1/pop1/leafB/leafB2|metro1/pop1/leafC/leafC2|0" + "metro1/pop1/leafB/leafB2|metro1/pop1/leafC/leafC2|0", + "metro1/pop1/leafC/leafC1|metro1/pop1/leafC/leafC3|0", + "metro2/pop2/leafC/leafC1|metro2/pop2/leafC/leafC3|0" ] }, "failure_trace": null, @@ -67508,7 +67508,7 @@ "include_used_edges": false, "base_demands": [ { - "id": "^metro1/dc1/.*|^metro5/dc1/.*|x0u0O8OVSY29noJ43TeuMg", + "id": "^metro1/dc1/.*|^metro5/dc1/.*|v3eJmJ6QST6lbQdxXVJ07Q", "source": "^metro1/dc1/.*", "target": "^metro5/dc1/.*", "volume": 15000.0, @@ -67522,7 +67522,7 @@ } }, { - "id": "^metro5/dc1/.*|^metro1/dc1/.*|OpZyzUu5Q8Ktg97wmCb5MA", + "id": "^metro5/dc1/.*|^metro1/dc1/.*|sTn6COElROSw_zL04atBBA", "source": "^metro5/dc1/.*", "target": "^metro1/dc1/.*", "volume": 15000.0, @@ -67536,7 +67536,7 @@ } }, { - "id": "^metro2/dc1/.*|^metro5/dc1/.*|mfbf3OutQdG6qQAfd0ctAQ", + "id": "^metro2/dc1/.*|^metro5/dc1/.*|pRrdW16XSQOzt_mk2FM49w", "source": "^metro2/dc1/.*", "target": "^metro5/dc1/.*", "volume": 15000.0, @@ -67550,7 +67550,7 @@ } }, { - "id": "^metro5/dc1/.*|^metro2/dc1/.*|eBEZ_viDShuRbFrW2riu0Q", + "id": "^metro5/dc1/.*|^metro2/dc1/.*|QXjsHZxyR9G0an54uUGNoQ", "source": "^metro5/dc1/.*", "target": "^metro2/dc1/.*", "volume": 15000.0, @@ -67564,7 +67564,7 @@ } }, { - "id": "^metro1/dc1/.*|^metro2/dc1/.*|CfqKPkAKSumNEqxnNdZ_2A", + "id": "^metro1/dc1/.*|^metro2/dc1/.*|4df_fncETQ6fF9O-EM3J0g", "source": "^metro1/dc1/.*", "target": "^metro2/dc1/.*", "volume": 15000.0, @@ -67578,7 +67578,7 @@ } }, { - "id": "^metro2/dc1/.*|^metro1/dc1/.*|OGvUaY0CTMqQ10-sMCDjHg", + "id": "^metro2/dc1/.*|^metro1/dc1/.*|a_1tOn4jRhikXbOzb4PIJw", "source": "^metro2/dc1/.*", "target": "^metro1/dc1/.*", "volume": 15000.0, @@ -67599,7 +67599,7 @@ }, "cost_power": { "metadata": { - "duration_sec": 0.0020568370819091797 + "duration_sec": 0.0021839141845703125 }, "data": { "context": { @@ -67876,7 +67876,7 @@ "demands": { "baseline_traffic_matrix": [ { - "id": "^metro1/dc1/.*|^metro5/dc1/.*|x0u0O8OVSY29noJ43TeuMg", + "id": "^metro1/dc1/.*|^metro5/dc1/.*|v3eJmJ6QST6lbQdxXVJ07Q", "source": "^metro1/dc1/.*", "target": "^metro5/dc1/.*", "volume": 15000.0, @@ -67890,7 +67890,7 @@ } }, { - "id": "^metro5/dc1/.*|^metro1/dc1/.*|OpZyzUu5Q8Ktg97wmCb5MA", + "id": "^metro5/dc1/.*|^metro1/dc1/.*|sTn6COElROSw_zL04atBBA", "source": "^metro5/dc1/.*", "target": "^metro1/dc1/.*", "volume": 15000.0, @@ -67904,7 +67904,7 @@ } }, { - "id": "^metro2/dc1/.*|^metro5/dc1/.*|mfbf3OutQdG6qQAfd0ctAQ", + "id": "^metro2/dc1/.*|^metro5/dc1/.*|pRrdW16XSQOzt_mk2FM49w", "source": "^metro2/dc1/.*", "target": "^metro5/dc1/.*", "volume": 15000.0, @@ -67918,7 +67918,7 @@ } }, { - "id": "^metro5/dc1/.*|^metro2/dc1/.*|eBEZ_viDShuRbFrW2riu0Q", + "id": "^metro5/dc1/.*|^metro2/dc1/.*|QXjsHZxyR9G0an54uUGNoQ", "source": "^metro5/dc1/.*", "target": "^metro2/dc1/.*", "volume": 15000.0, @@ -67932,7 +67932,7 @@ } }, { - "id": "^metro1/dc1/.*|^metro2/dc1/.*|CfqKPkAKSumNEqxnNdZ_2A", + "id": "^metro1/dc1/.*|^metro2/dc1/.*|4df_fncETQ6fF9O-EM3J0g", "source": "^metro1/dc1/.*", "target": "^metro2/dc1/.*", "volume": 15000.0, @@ -67946,7 +67946,7 @@ } }, { - "id": "^metro2/dc1/.*|^metro1/dc1/.*|OGvUaY0CTMqQ10-sMCDjHg", + "id": "^metro2/dc1/.*|^metro1/dc1/.*|a_1tOn4jRhikXbOzb4PIJw", "source": "^metro2/dc1/.*", "target": "^metro1/dc1/.*", "volume": 15000.0, @@ -67962,4 +67962,4 @@ ] } } -} \ No newline at end of file +} diff --git a/tests/data/scenarios/small_dragonfly_custom/small_dragonfly_custom__seed11/small_dragonfly_custom__seed11_scenario.yml b/tests/data/scenarios/small_dragonfly_custom/small_dragonfly_custom__seed11/small_dragonfly_custom__seed11_scenario.yml index d750e63..52d7114 100644 --- a/tests/data/scenarios/small_dragonfly_custom/small_dragonfly_custom__seed11/small_dragonfly_custom__seed11_scenario.yml +++ b/tests/data/scenarios/small_dragonfly_custom/small_dragonfly_custom__seed11/small_dragonfly_custom__seed11_scenario.yml @@ -363,6 +363,7 @@ network: - attr: role op: == value: leaf + logic: or target: path: metro1/pop2 match: *id001 @@ -441,9 +442,11 @@ network: source_metro: new-york-jersey-city-newark target_metro: washington-arlington target_capacity: 12800.0 - site_edge: metro1/pop1|metro2/pop1|inter_metro:1-2:1-1 - adjacency_id: inter_metro:1-2 + site_edge: metro1/pop1|metro2/pop1|inter_metro:1-2:path0:1-1 + adjacency_id: inter_metro:1-2:path0 distance_km: 412 + euclidean_km: 329.80891925266354 + detour_ratio: 1.2484239409074376 hardware: source: component: 800G-ZR+ @@ -451,7 +454,7 @@ network: target: component: 800G-ZR+ count: 1.0 - risk_groups: &id005 + risk_groups: - corridor_risk_columbus_new-york-jersey-city-newark - corridor_risk_new-york-jersey-city-newark_washington-arlington - source: @@ -476,9 +479,11 @@ network: source_metro: new-york-jersey-city-newark target_metro: columbus target_capacity: 12800.0 - site_edge: metro1/pop1|metro5/pop1|inter_metro:1-5:1-1 - adjacency_id: inter_metro:1-5 + site_edge: metro1/pop1|metro5/pop1|inter_metro:1-5:path0:1-1 + adjacency_id: inter_metro:1-5:path0 distance_km: 977 + euclidean_km: 747.1357017294783 + detour_ratio: 1.3070646931065415 hardware: source: component: 800G-ZR+ @@ -486,7 +491,7 @@ network: target: component: 800G-ZR+ count: 1.0 - risk_groups: &id006 + risk_groups: - corridor_risk_chicago_washington-arlington - corridor_risk_columbus_new-york-jersey-city-newark - corridor_risk_columbus_washington-arlington @@ -515,7 +520,6 @@ network: target: component: 800G-ZR+ count: 3.0 - # Inter-metro corridors - source: path: metro1/pop2 match: *id003 @@ -530,9 +534,11 @@ network: source_metro: new-york-jersey-city-newark target_metro: washington-arlington target_capacity: 12800.0 - site_edge: metro1/pop2|metro2/pop2|inter_metro:1-2:2-2 - adjacency_id: inter_metro:1-2 + site_edge: metro1/pop2|metro2/pop2|inter_metro:1-2:path0:2-2 + adjacency_id: inter_metro:1-2:path0 distance_km: 412 + euclidean_km: 329.80891925266354 + detour_ratio: 1.2484239409074376 hardware: source: component: 800G-ZR+ @@ -540,7 +546,9 @@ network: target: component: 800G-ZR+ count: 1.0 - risk_groups: *id005 + risk_groups: + - corridor_risk_columbus_new-york-jersey-city-newark + - corridor_risk_new-york-jersey-city-newark_washington-arlington - source: path: metro1/pop2 match: *id004 @@ -555,9 +563,11 @@ network: source_metro: new-york-jersey-city-newark target_metro: columbus target_capacity: 12800.0 - site_edge: metro1/pop2|metro5/pop2|inter_metro:1-5:2-2 - adjacency_id: inter_metro:1-5 + site_edge: metro1/pop2|metro5/pop2|inter_metro:1-5:path0:2-2 + adjacency_id: inter_metro:1-5:path0 distance_km: 977 + euclidean_km: 747.1357017294783 + detour_ratio: 1.3070646931065415 hardware: source: component: 800G-ZR+ @@ -565,10 +575,14 @@ network: target: component: 800G-ZR+ count: 1.0 - risk_groups: *id006 + risk_groups: + - corridor_risk_chicago_washington-arlington + - corridor_risk_columbus_new-york-jersey-city-newark + - corridor_risk_columbus_washington-arlington + - corridor_risk_new-york-jersey-city-newark_washington-arlington - source: path: metro2/pop1 - match: &id007 + match: &id005 conditions: - attr: role op: == @@ -576,9 +590,10 @@ network: - attr: role op: == value: leaf + logic: or target: path: metro2/pop2 - match: *id007 + match: *id005 pattern: one_to_one capacity: 1600.0 cost: 103 @@ -599,7 +614,7 @@ network: count: 2.0 - source: path: metro2/pop1 - match: &id008 + match: &id006 conditions: - attr: role op: == @@ -613,7 +628,7 @@ network: logic: or target: path: metro2/dc1 - match: *id008 + match: *id006 pattern: one_to_one capacity: 2400.0 cost: 1 @@ -634,7 +649,7 @@ network: count: 3.0 - source: path: metro2/pop1 - match: &id009 + match: &id007 conditions: - attr: role op: == @@ -645,7 +660,7 @@ network: logic: or target: path: metro3/pop1 - match: *id009 + match: *id007 pattern: one_to_one capacity: 200.0 cost: 1261 @@ -654,9 +669,11 @@ network: source_metro: washington-arlington target_metro: chicago target_capacity: 3200.0 - site_edge: metro2/pop1|metro3/pop1|inter_metro:2-3:1-1 - adjacency_id: inter_metro:2-3 + site_edge: metro2/pop1|metro3/pop1|inter_metro:2-3:path0:1-1 + adjacency_id: inter_metro:2-3:path0 distance_km: 1261 + euclidean_km: 962.0849480451766 + detour_ratio: 1.3098725226374546 hardware: source: component: 800G-ZR+ @@ -664,13 +681,13 @@ network: target: component: 800G-ZR+ count: 1.0 - risk_groups: &id012 + risk_groups: - corridor_risk_chicago_washington-arlington - corridor_risk_columbus_new-york-jersey-city-newark - corridor_risk_columbus_washington-arlington - source: path: metro2/pop1 - match: &id010 + match: &id008 conditions: - attr: role op: == @@ -681,7 +698,7 @@ network: logic: or target: path: metro4/pop1 - match: *id010 + match: *id008 pattern: one_to_one capacity: 200.0 cost: 1216 @@ -690,9 +707,11 @@ network: source_metro: washington-arlington target_metro: atlanta target_capacity: 3200.0 - site_edge: metro2/pop1|metro4/pop1|inter_metro:2-4:1-1 - adjacency_id: inter_metro:2-4 + site_edge: metro2/pop1|metro4/pop1|inter_metro:2-4:path0:1-1 + adjacency_id: inter_metro:2-4:path0 distance_km: 1216 + euclidean_km: 861.267572704122 + detour_ratio: 1.4113975069243747 hardware: source: component: 800G-ZR+ @@ -700,11 +719,11 @@ network: target: component: 800G-ZR+ count: 1.0 - risk_groups: &id013 + risk_groups: - corridor_risk_atlanta_washington-arlington - source: path: metro2/pop1 - match: &id011 + match: &id009 conditions: - attr: role op: == @@ -715,7 +734,7 @@ network: logic: or target: path: metro5/pop1 - match: *id011 + match: *id009 pattern: one_to_one capacity: 800.0 cost: 733 @@ -724,9 +743,11 @@ network: source_metro: washington-arlington target_metro: columbus target_capacity: 12800.0 - site_edge: metro2/pop1|metro5/pop1|inter_metro:2-5:1-1 - adjacency_id: inter_metro:2-5 + site_edge: metro2/pop1|metro5/pop1|inter_metro:2-5:path0:1-1 + adjacency_id: inter_metro:2-5:path0 distance_km: 733 + euclidean_km: 507.67314955219973 + detour_ratio: 1.44331128980949 hardware: source: component: 800G-ZR+ @@ -734,16 +755,16 @@ network: target: component: 800G-ZR+ count: 1.0 - risk_groups: &id014 + risk_groups: - corridor_risk_chicago_washington-arlington - corridor_risk_columbus_new-york-jersey-city-newark - corridor_risk_columbus_washington-arlington - source: path: metro2/pop2 - match: *id008 + match: *id006 target: path: metro2/dc1 - match: *id008 + match: *id006 pattern: one_to_one capacity: 2400.0 cost: 103 @@ -764,10 +785,10 @@ network: count: 3.0 - source: path: metro2/pop2 - match: *id009 + match: *id007 target: path: metro3/pop2 - match: *id009 + match: *id007 pattern: one_to_one capacity: 200.0 cost: 1261 @@ -776,9 +797,11 @@ network: source_metro: washington-arlington target_metro: chicago target_capacity: 3200.0 - site_edge: metro2/pop2|metro3/pop2|inter_metro:2-3:2-2 - adjacency_id: inter_metro:2-3 + site_edge: metro2/pop2|metro3/pop2|inter_metro:2-3:path0:2-2 + adjacency_id: inter_metro:2-3:path0 distance_km: 1261 + euclidean_km: 962.0849480451766 + detour_ratio: 1.3098725226374546 hardware: source: component: 800G-ZR+ @@ -786,13 +809,16 @@ network: target: component: 800G-ZR+ count: 1.0 - risk_groups: *id012 + risk_groups: + - corridor_risk_chicago_washington-arlington + - corridor_risk_columbus_new-york-jersey-city-newark + - corridor_risk_columbus_washington-arlington - source: path: metro2/pop2 - match: *id010 + match: *id008 target: path: metro4/pop2 - match: *id010 + match: *id008 pattern: one_to_one capacity: 200.0 cost: 1216 @@ -801,9 +827,11 @@ network: source_metro: washington-arlington target_metro: atlanta target_capacity: 3200.0 - site_edge: metro2/pop2|metro4/pop2|inter_metro:2-4:2-2 - adjacency_id: inter_metro:2-4 + site_edge: metro2/pop2|metro4/pop2|inter_metro:2-4:path0:2-2 + adjacency_id: inter_metro:2-4:path0 distance_km: 1216 + euclidean_km: 861.267572704122 + detour_ratio: 1.4113975069243747 hardware: source: component: 800G-ZR+ @@ -811,13 +839,14 @@ network: target: component: 800G-ZR+ count: 1.0 - risk_groups: *id013 + risk_groups: + - corridor_risk_atlanta_washington-arlington - source: path: metro2/pop2 - match: *id011 + match: *id009 target: path: metro5/pop2 - match: *id011 + match: *id009 pattern: one_to_one capacity: 800.0 cost: 733 @@ -826,9 +855,11 @@ network: source_metro: washington-arlington target_metro: columbus target_capacity: 12800.0 - site_edge: metro2/pop2|metro5/pop2|inter_metro:2-5:2-2 - adjacency_id: inter_metro:2-5 + site_edge: metro2/pop2|metro5/pop2|inter_metro:2-5:path0:2-2 + adjacency_id: inter_metro:2-5:path0 distance_km: 733 + euclidean_km: 507.67314955219973 + detour_ratio: 1.44331128980949 hardware: source: component: 800G-ZR+ @@ -836,10 +867,13 @@ network: target: component: 800G-ZR+ count: 1.0 - risk_groups: *id014 + risk_groups: + - corridor_risk_chicago_washington-arlington + - corridor_risk_columbus_new-york-jersey-city-newark + - corridor_risk_columbus_washington-arlington - source: path: metro3/pop1 - match: &id015 + match: &id010 conditions: - attr: role op: == @@ -847,9 +881,10 @@ network: - attr: role op: == value: leaf + logic: or target: path: metro3/pop2 - match: *id015 + match: *id010 pattern: one_to_one capacity: 12800.0 cost: 138 @@ -870,7 +905,7 @@ network: count: 16.0 - source: path: metro3/pop1 - match: &id016 + match: &id011 conditions: - attr: role op: == @@ -881,7 +916,7 @@ network: logic: or target: path: metro5/pop1 - match: *id016 + match: *id011 pattern: one_to_one capacity: 200.0 cost: 658 @@ -890,9 +925,11 @@ network: source_metro: chicago target_metro: columbus target_capacity: 3200.0 - site_edge: metro3/pop1|metro5/pop1|inter_metro:3-5:1-1 - adjacency_id: inter_metro:3-5 + site_edge: metro3/pop1|metro5/pop1|inter_metro:3-5:path0:1-1 + adjacency_id: inter_metro:3-5:path0 distance_km: 658 + euclidean_km: 463.6395625132306 + detour_ratio: 1.418606990859309 hardware: source: component: 800G-ZR+ @@ -900,12 +937,12 @@ network: target: component: 800G-ZR+ count: 1.0 - risk_groups: &id018 + risk_groups: - corridor_risk_atlanta_chicago - corridor_risk_chicago_columbus - source: path: metro3/pop1 - match: &id017 + match: &id012 conditions: - attr: role op: == @@ -916,7 +953,7 @@ network: logic: or target: path: metro4/pop1 - match: *id017 + match: *id012 pattern: one_to_one capacity: 3200.0 cost: 1302 @@ -925,9 +962,11 @@ network: source_metro: chicago target_metro: atlanta target_capacity: 3200.0 - site_edge: metro3/pop1|metro4/pop1|inter_metro:3-4:1-1 - adjacency_id: inter_metro:3-4 + site_edge: metro3/pop1|metro4/pop1|inter_metro:3-4:path0:1-1 + adjacency_id: inter_metro:3-4:path0 distance_km: 1302 + euclidean_km: 962.0999146161588 + detour_ratio: 1.3528437249287772 hardware: source: component: 800G-ZR+ @@ -935,16 +974,16 @@ network: target: component: 800G-ZR+ count: 4.0 - risk_groups: &id019 + risk_groups: - corridor_risk_atlanta_chicago - corridor_risk_atlanta_columbus - corridor_risk_chicago_columbus - source: path: metro3/pop2 - match: *id016 + match: *id011 target: path: metro5/pop2 - match: *id016 + match: *id011 pattern: one_to_one capacity: 200.0 cost: 658 @@ -953,9 +992,11 @@ network: source_metro: chicago target_metro: columbus target_capacity: 3200.0 - site_edge: metro3/pop2|metro5/pop2|inter_metro:3-5:2-2 - adjacency_id: inter_metro:3-5 + site_edge: metro3/pop2|metro5/pop2|inter_metro:3-5:path0:2-2 + adjacency_id: inter_metro:3-5:path0 distance_km: 658 + euclidean_km: 463.6395625132306 + detour_ratio: 1.418606990859309 hardware: source: component: 800G-ZR+ @@ -963,13 +1004,15 @@ network: target: component: 800G-ZR+ count: 1.0 - risk_groups: *id018 + risk_groups: + - corridor_risk_atlanta_chicago + - corridor_risk_chicago_columbus - source: path: metro3/pop2 - match: *id017 + match: *id012 target: path: metro4/pop2 - match: *id017 + match: *id012 pattern: one_to_one capacity: 3200.0 cost: 1302 @@ -978,9 +1021,11 @@ network: source_metro: chicago target_metro: atlanta target_capacity: 3200.0 - site_edge: metro3/pop2|metro4/pop2|inter_metro:3-4:2-2 - adjacency_id: inter_metro:3-4 + site_edge: metro3/pop2|metro4/pop2|inter_metro:3-4:path0:2-2 + adjacency_id: inter_metro:3-4:path0 distance_km: 1302 + euclidean_km: 962.0999146161588 + detour_ratio: 1.3528437249287772 hardware: source: component: 800G-ZR+ @@ -988,10 +1033,13 @@ network: target: component: 800G-ZR+ count: 4.0 - risk_groups: *id019 + risk_groups: + - corridor_risk_atlanta_chicago + - corridor_risk_atlanta_columbus + - corridor_risk_chicago_columbus - source: path: metro4/pop1 - match: &id020 + match: &id013 conditions: - attr: role op: == @@ -999,9 +1047,10 @@ network: - attr: role op: == value: leaf + logic: or target: path: metro4/pop2 - match: *id020 + match: *id013 pattern: one_to_one capacity: 12800.0 cost: 142 @@ -1022,7 +1071,7 @@ network: count: 16.0 - source: path: metro4/pop1 - match: &id021 + match: &id014 conditions: - attr: role op: == @@ -1033,7 +1082,7 @@ network: logic: or target: path: metro5/pop1 - match: *id021 + match: *id014 pattern: one_to_one capacity: 200.0 cost: 1028 @@ -1042,9 +1091,11 @@ network: source_metro: atlanta target_metro: columbus target_capacity: 3200.0 - site_edge: metro4/pop1|metro5/pop1|inter_metro:4-5:1-1 - adjacency_id: inter_metro:4-5 + site_edge: metro4/pop1|metro5/pop1|inter_metro:4-5:path0:1-1 + adjacency_id: inter_metro:4-5:path0 distance_km: 1028 + euclidean_km: 713.256465952325 + detour_ratio: 1.439960594262943 hardware: source: component: 800G-ZR+ @@ -1052,15 +1103,15 @@ network: target: component: 800G-ZR+ count: 1.0 - risk_groups: &id022 + risk_groups: - corridor_risk_atlanta_chicago - corridor_risk_atlanta_columbus - source: path: metro4/pop2 - match: *id021 + match: *id014 target: path: metro5/pop2 - match: *id021 + match: *id014 pattern: one_to_one capacity: 200.0 cost: 1028 @@ -1069,9 +1120,11 @@ network: source_metro: atlanta target_metro: columbus target_capacity: 3200.0 - site_edge: metro4/pop2|metro5/pop2|inter_metro:4-5:2-2 - adjacency_id: inter_metro:4-5 + site_edge: metro4/pop2|metro5/pop2|inter_metro:4-5:path0:2-2 + adjacency_id: inter_metro:4-5:path0 distance_km: 1028 + euclidean_km: 713.256465952325 + detour_ratio: 1.439960594262943 hardware: source: component: 800G-ZR+ @@ -1079,10 +1132,12 @@ network: target: component: 800G-ZR+ count: 1.0 - risk_groups: *id022 + risk_groups: + - corridor_risk_atlanta_chicago + - corridor_risk_atlanta_columbus - source: path: metro5/pop1 - match: &id023 + match: &id015 conditions: - attr: role op: == @@ -1090,9 +1145,10 @@ network: - attr: role op: == value: leaf + logic: or target: path: metro5/pop2 - match: *id023 + match: *id015 pattern: one_to_one capacity: 1600.0 cost: 65 @@ -1113,7 +1169,7 @@ network: count: 2.0 - source: path: metro5/pop1 - match: &id024 + match: &id016 conditions: - attr: role op: == @@ -1127,7 +1183,7 @@ network: logic: or target: path: metro5/dc1 - match: *id024 + match: *id016 pattern: one_to_one capacity: 2400.0 cost: 1 @@ -1148,10 +1204,10 @@ network: count: 3.0 - source: path: metro5/pop2 - match: *id024 + match: *id016 target: path: metro5/dc1 - match: *id024 + match: *id016 pattern: one_to_one capacity: 2400.0 cost: 65 diff --git a/tests/data/scenarios/small_dragonfly_custom/small_dragonfly_custom__seed12/small_dragonfly_custom__seed12_scenario.results.json b/tests/data/scenarios/small_dragonfly_custom/small_dragonfly_custom__seed12/small_dragonfly_custom__seed12_scenario.results.json index 10066fc..de81c4b 100644 --- a/tests/data/scenarios/small_dragonfly_custom/small_dragonfly_custom__seed12/small_dragonfly_custom__seed12_scenario.results.json +++ b/tests/data/scenarios/small_dragonfly_custom/small_dragonfly_custom__seed12/small_dragonfly_custom__seed12_scenario.results.json @@ -36,7 +36,7 @@ "steps": { "network_statistics": { "metadata": { - "duration_sec": 0.0007443428039550781 + "duration_sec": 0.00029015541076660156 }, "data": { "node_count": 103, @@ -58,7 +58,7 @@ }, "msd_baseline": { "metadata": { - "duration_sec": 0.002991199493408203 + "duration_sec": 0.0027053356170654297 }, "data": { "alpha_star": 1.6875, @@ -74,7 +74,7 @@ }, "base_demands": [ { - "id": "^metro1/dc1/.*|^metro2/dc1/.*|kclmfFaJSzefDgCf4dAOuQ", + "id": "^metro1/dc1/.*|^metro2/dc1/.*|C6BE4pTrQDCl40pyalhCew", "source": "^metro1/dc1/.*", "target": "^metro2/dc1/.*", "volume": 15000.0, @@ -88,7 +88,7 @@ } }, { - "id": "^metro2/dc1/.*|^metro1/dc1/.*|sClg4RW7QCOxGTiegeTLlw", + "id": "^metro2/dc1/.*|^metro1/dc1/.*|-lZJOdJLQmGYehqEEh4PbA", "source": "^metro2/dc1/.*", "target": "^metro1/dc1/.*", "volume": 15000.0, @@ -102,7 +102,7 @@ } }, { - "id": "^metro2/dc1/.*|^metro5/dc1/.*|UNTa4nqdS1m5V3klBmNcbg", + "id": "^metro2/dc1/.*|^metro5/dc1/.*|4_RrpvM7T_-VVpnZBaw-1w", "source": "^metro2/dc1/.*", "target": "^metro5/dc1/.*", "volume": 15000.0, @@ -116,7 +116,7 @@ } }, { - "id": "^metro5/dc1/.*|^metro2/dc1/.*|gihmy-3FTkyGR0QA4d7E-g", + "id": "^metro5/dc1/.*|^metro2/dc1/.*|Dv48xifjSAChUFJJyiRfyQ", "source": "^metro5/dc1/.*", "target": "^metro2/dc1/.*", "volume": 15000.0, @@ -130,7 +130,7 @@ } }, { - "id": "^metro1/dc1/.*|^metro5/dc1/.*|O7-vsNZxTx2QkF6vz3S-iA", + "id": "^metro1/dc1/.*|^metro5/dc1/.*|Zp9cZFTiToWVO6Slb2PU1g", "source": "^metro1/dc1/.*", "target": "^metro5/dc1/.*", "volume": 15000.0, @@ -144,7 +144,7 @@ } }, { - "id": "^metro5/dc1/.*|^metro1/dc1/.*|rLoKJkjKSTWX-PJHQJjhQg", + "id": "^metro5/dc1/.*|^metro1/dc1/.*|uDseqbdxQCuBsfEK5e5zvg", "source": "^metro5/dc1/.*", "target": "^metro1/dc1/.*", "volume": 15000.0, @@ -203,7 +203,7 @@ "parallelism": 7, "analysis_function": "demand_placement_analysis", "policy_name": "mc_baseline", - "execution_time": 0.24929308891296387, + "execution_time": 0.34757280349731445, "unique_patterns": 553, "occurrence_counts": [ 1, @@ -760,7 +760,7 @@ 1, 1 ], - "duration_sec": 0.27664899826049805 + "duration_sec": 0.3760566711425781 }, "data": { "baseline": { @@ -866,10 +866,10 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro5/pop2/leafC/leafC1|metro5/pop2/leafC/leafC2|0", - "metro1/pop1/leafA/leafA3|metro1/pop1/leafB/leafB3|0", "metro5/pop1/leafA/leafA1|metro5/pop1/leafA/leafA3|0", - "metro1/pop1/leafA/leafA2|metro1/pop1/leafA/leafA3|0" + "metro1/pop1/leafA/leafA2|metro1/pop1/leafA/leafA3|0", + "metro5/pop2/leafC/leafC1|metro5/pop2/leafC/leafC2|0", + "metro1/pop1/leafA/leafA3|metro1/pop1/leafB/leafB3|0" ] }, "failure_trace": null, @@ -968,10 +968,10 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro1/pop2/leafC/leafC2|metro1/pop2/leafD/leafD2|0", "metro5/pop1/leafC/leafC2|metro5/pop1/leafD/leafD2|0", - "metro1/pop2/leafD/leafD1|metro1/pop2/leafD/leafD3|0", - "metro5/pop1/leafA/leafA1|metro5/pop1/leafB/leafB1|0" + "metro5/pop1/leafA/leafA1|metro5/pop1/leafB/leafB1|0", + "metro1/pop2/leafC/leafC2|metro1/pop2/leafD/leafD2|0", + "metro1/pop2/leafD/leafD1|metro1/pop2/leafD/leafD3|0" ] }, "failure_trace": null, @@ -1173,10 +1173,10 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro2/pop2/leafD/leafD3|metro2/pop2/leafD/leafD4|0", "metro2/pop2/leafD/leafD2|metro2/pop2/leafD/leafD4|0", "metro1/pop1/leafC/leafC2|metro1/pop1/leafC/leafC3|0", - "metro5/pop2/leafA/leafA3|metro5/pop2/leafD/leafD3|0" + "metro5/pop2/leafA/leafA3|metro5/pop2/leafD/leafD3|0", + "metro2/pop2/leafD/leafD3|metro2/pop2/leafD/leafD4|0" ] }, "failure_trace": null, @@ -1492,8 +1492,8 @@ "excluded_links": [ "metro2/pop2/leafA/leafA1|metro2/pop2/leafA/leafA4|0", "metro5/pop1/leafA/leafA1|metro5/pop1/leafA/leafA4|0", - "metro2/pop2/leafB/leafB1|metro2/pop2/leafB/leafB2|0", - "metro1/pop1/leafB/leafB1|metro1/pop1/leafB/leafB3|0" + "metro1/pop1/leafB/leafB1|metro1/pop1/leafB/leafB3|0", + "metro2/pop2/leafB/leafB1|metro2/pop2/leafB/leafB2|0" ] }, "failure_trace": null, @@ -1691,40 +1691,40 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro3/pop2/core/core|metro5/pop2/leafD/leafD4|0", - "metro3/pop2/core/core|metro5/pop2/leafB/leafB1|0", - "metro3/pop1/core/core|metro5/pop1/leafA/leafA4|0", - "metro3/pop2/core/core|metro5/pop2/leafA/leafA4|0", - "metro3/pop2/core/core|metro5/pop2/leafC/leafC1|0", - "metro3/pop1/core/core|metro5/pop1/leafD/leafD3|0", - "metro3/pop1/core/core|metro5/pop1/leafB/leafB2|0", - "metro3/pop1/core/core|metro5/pop1/leafB/leafB4|0", - "metro3/pop2/core/core|metro5/pop2/leafB/leafB2|0", + "metro3/pop2/core/core|metro5/pop2/leafD/leafD1|0", + "metro3/pop1/core/core|metro5/pop1/leafC/leafC4|0", + "metro3/pop1/core/core|metro5/pop1/leafD/leafD2|0", "metro3/pop1/core/core|metro5/pop1/leafC/leafC3|0", + "metro3/pop1/core/core|metro5/pop1/leafC/leafC2|0", "metro3/pop2/core/core|metro4/pop2/core/core|0", - "metro3/pop2/core/core|metro5/pop2/leafA/leafA2|0", - "metro3/pop2/core/core|metro5/pop2/leafC/leafC2|0", - "metro3/pop2/core/core|metro5/pop2/leafD/leafD3|0", - "metro3/pop1/core/core|metro5/pop1/leafB/leafB3|0", "metro3/pop2/core/core|metro5/pop2/leafB/leafB4|0", - "metro3/pop2/core/core|metro5/pop2/leafA/leafA1|0", - "metro3/pop1/core/core|metro5/pop1/leafA/leafA3|0", - "metro3/pop1/core/core|metro5/pop1/leafA/leafA2|0", - "metro3/pop1/core/core|metro5/pop1/leafC/leafC4|0", - "metro3/pop1/core/core|metro5/pop1/leafA/leafA1|0", - "metro3/pop1/core/core|metro5/pop1/leafD/leafD2|0", - "metro3/pop2/core/core|metro5/pop2/leafA/leafA3|0", + "metro3/pop2/core/core|metro5/pop2/leafB/leafB1|0", + "metro3/pop2/core/core|metro5/pop2/leafD/leafD3|0", "metro3/pop1/core/core|metro5/pop1/leafD/leafD1|0", + "metro3/pop2/core/core|metro5/pop2/leafD/leafD4|0", + "metro3/pop2/core/core|metro5/pop2/leafC/leafC2|0", + "metro3/pop2/core/core|metro5/pop2/leafA/leafA3|0", + "metro3/pop1/core/core|metro5/pop1/leafA/leafA1|0", + "metro3/pop2/core/core|metro5/pop2/leafC/leafC4|0", "metro3/pop2/core/core|metro5/pop2/leafC/leafC3|0", + "metro3/pop1/core/core|metro5/pop1/leafB/leafB3|0", "metro3/pop2/core/core|metro5/pop2/leafD/leafD2|0", - "metro3/pop2/core/core|metro5/pop2/leafB/leafB3|0", + "metro3/pop2/core/core|metro5/pop2/leafA/leafA1|0", + "metro3/pop1/core/core|metro5/pop1/leafA/leafA3|0", + "metro3/pop1/core/core|metro5/pop1/leafA/leafA4|0", + "metro3/pop1/core/core|metro5/pop1/leafD/leafD3|0", + "metro3/pop2/core/core|metro5/pop2/leafA/leafA4|0", + "metro3/pop1/core/core|metro5/pop1/leafC/leafC1|0", "metro3/pop1/core/core|metro5/pop1/leafD/leafD4|0", - "metro3/pop2/core/core|metro5/pop2/leafD/leafD1|0", - "metro3/pop1/core/core|metro5/pop1/leafB/leafB1|0", - "metro3/pop1/core/core|metro5/pop1/leafC/leafC2|0", - "metro3/pop2/core/core|metro5/pop2/leafC/leafC4|0", + "metro3/pop2/core/core|metro5/pop2/leafB/leafB3|0", + "metro3/pop1/core/core|metro5/pop1/leafB/leafB4|0", + "metro3/pop2/core/core|metro5/pop2/leafC/leafC1|0", "metro3/pop1/core/core|metro4/pop1/core/core|0", - "metro3/pop1/core/core|metro5/pop1/leafC/leafC1|0" + "metro3/pop2/core/core|metro5/pop2/leafA/leafA2|0", + "metro3/pop1/core/core|metro5/pop1/leafA/leafA2|0", + "metro3/pop1/core/core|metro5/pop1/leafB/leafB1|0", + "metro3/pop1/core/core|metro5/pop1/leafB/leafB2|0", + "metro3/pop2/core/core|metro5/pop2/leafB/leafB2|0" ] }, "failure_trace": null, @@ -1824,9 +1824,9 @@ "excluded_nodes": [], "excluded_links": [ "metro2/pop1/leafA/leafA2|metro2/pop1/leafA/leafA4|0", - "metro2/pop1/leafC/leafC1|metro2/pop1/leafC/leafC3|0", + "metro1/pop1/leafA/leafA2|metro1/pop1/leafA/leafA4|0", "metro2/pop1/leafB/leafB3|metro2/pop1/leafB/leafB4|0", - "metro1/pop1/leafA/leafA2|metro1/pop1/leafA/leafA4|0" + "metro2/pop1/leafC/leafC1|metro2/pop1/leafC/leafC3|0" ] }, "failure_trace": null, @@ -1925,40 +1925,40 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro4/pop2/core/core|metro5/pop2/leafC/leafC1|0", - "metro4/pop2/core/core|metro5/pop2/leafB/leafB3|0", - "metro4/pop1/core/core|metro5/pop1/leafA/leafA1|0", - "metro4/pop1/core/core|metro5/pop1/leafD/leafD2|0", - "metro4/pop2/core/core|metro5/pop2/leafC/leafC4|0", - "metro4/pop1/core/core|metro5/pop1/leafD/leafD4|0", - "metro4/pop1/core/core|metro5/pop1/leafB/leafB2|0", - "metro4/pop2/core/core|metro5/pop2/leafD/leafD2|0", - "metro4/pop1/core/core|metro5/pop1/leafB/leafB3|0", + "metro4/pop1/core/core|metro5/pop1/leafB/leafB4|0", "metro4/pop1/core/core|metro5/pop1/leafD/leafD3|0", - "metro4/pop2/core/core|metro5/pop2/leafB/leafB1|0", - "metro3/pop2/core/core|metro4/pop2/core/core|0", - "metro4/pop1/core/core|metro5/pop1/leafA/leafA3|0", + "metro4/pop2/core/core|metro5/pop2/leafA/leafA1|0", "metro4/pop2/core/core|metro5/pop2/leafA/leafA3|0", - "metro4/pop2/core/core|metro5/pop2/leafC/leafC2|0", + "metro4/pop2/core/core|metro5/pop2/leafB/leafB2|0", + "metro4/pop1/core/core|metro5/pop1/leafA/leafA4|0", + "metro3/pop2/core/core|metro4/pop2/core/core|0", + "metro4/pop2/core/core|metro5/pop2/leafC/leafC4|0", + "metro4/pop1/core/core|metro5/pop1/leafC/leafC2|0", + "metro4/pop2/core/core|metro5/pop2/leafA/leafA2|0", "metro4/pop2/core/core|metro5/pop2/leafD/leafD1|0", - "metro4/pop2/core/core|metro5/pop2/leafC/leafC3|0", - "metro4/pop1/core/core|metro5/pop1/leafA/leafA2|0", - "metro4/pop2/core/core|metro5/pop2/leafD/leafD4|0", - "metro4/pop2/core/core|metro5/pop2/leafA/leafA4|0", "metro4/pop1/core/core|metro5/pop1/leafD/leafD1|0", + "metro4/pop1/core/core|metro5/pop1/leafA/leafA1|0", + "metro4/pop1/core/core|metro5/pop1/leafB/leafB2|0", "metro4/pop2/core/core|metro5/pop2/leafB/leafB4|0", + "metro4/pop1/core/core|metro5/pop1/leafC/leafC3|0", + "metro4/pop1/core/core|metro5/pop1/leafC/leafC4|0", + "metro4/pop1/core/core|metro5/pop1/leafA/leafA2|0", + "metro4/pop2/core/core|metro5/pop2/leafA/leafA4|0", + "metro4/pop2/core/core|metro5/pop2/leafC/leafC1|0", "metro4/pop1/core/core|metro5/pop1/leafB/leafB1|0", - "metro4/pop1/core/core|metro5/pop1/leafC/leafC2|0", - "metro4/pop2/core/core|metro5/pop2/leafD/leafD3|0", + "metro4/pop1/core/core|metro5/pop1/leafD/leafD4|0", + "metro4/pop2/core/core|metro5/pop2/leafB/leafB1|0", + "metro4/pop2/core/core|metro5/pop2/leafC/leafC2|0", + "metro4/pop2/core/core|metro5/pop2/leafC/leafC3|0", "metro4/pop1/core/core|metro5/pop1/leafC/leafC1|0", - "metro4/pop1/core/core|metro5/pop1/leafC/leafC4|0", - "metro4/pop2/core/core|metro5/pop2/leafA/leafA2|0", - "metro4/pop1/core/core|metro5/pop1/leafC/leafC3|0", - "metro4/pop1/core/core|metro5/pop1/leafB/leafB4|0", - "metro4/pop2/core/core|metro5/pop2/leafA/leafA1|0", - "metro4/pop2/core/core|metro5/pop2/leafB/leafB2|0", - "metro4/pop1/core/core|metro5/pop1/leafA/leafA4|0", - "metro3/pop1/core/core|metro4/pop1/core/core|0" + "metro3/pop1/core/core|metro4/pop1/core/core|0", + "metro4/pop2/core/core|metro5/pop2/leafD/leafD3|0", + "metro4/pop1/core/core|metro5/pop1/leafB/leafB3|0", + "metro4/pop1/core/core|metro5/pop1/leafA/leafA3|0", + "metro4/pop2/core/core|metro5/pop2/leafD/leafD2|0", + "metro4/pop2/core/core|metro5/pop2/leafD/leafD4|0", + "metro4/pop1/core/core|metro5/pop1/leafD/leafD2|0", + "metro4/pop2/core/core|metro5/pop2/leafB/leafB3|0" ] }, "failure_trace": null, @@ -2168,9 +2168,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro1/pop2/leafB/leafB3|metro1/dc1/dc/dc|0", + "metro5/pop2/leafD/leafD3|metro5/dc1/dc/dc|0", "metro2/pop2/leafA/leafA4|metro2/dc1/dc/dc|0", - "metro5/pop2/leafD/leafD3|metro5/dc1/dc/dc|0" + "metro1/pop2/leafB/leafB3|metro1/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -2276,9 +2276,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ + "metro1/pop1/leafB/leafB3|metro1/dc1/dc/dc|0", "metro5/pop1/leafA/leafA4|metro5/dc1/dc/dc|0", - "metro5/pop2/leafB/leafB2|metro5/dc1/dc/dc|0", - "metro1/pop1/leafB/leafB3|metro1/dc1/dc/dc|0" + "metro5/pop2/leafB/leafB2|metro5/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -2387,134 +2387,134 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro2/pop2/leafB/leafB4|metro3/pop2/core/core|0", - "metro1/pop1/leafA/leafA4|metro2/pop1/leafA/leafA4|0", - "metro1/pop2/leafD/leafD4|metro2/pop2/leafD/leafD4|0", - "metro1/pop2/leafA/leafA4|metro2/pop2/leafA/leafA4|0", - "metro2/pop2/leafC/leafC3|metro5/pop2/leafC/leafC3|0", - "metro1/pop2/leafC/leafC1|metro5/pop2/leafC/leafC1|0", "metro2/pop1/leafB/leafB2|metro5/pop1/leafB/leafB2|0", - "metro2/pop1/leafB/leafB3|metro5/pop1/leafB/leafB3|0", - "metro2/pop1/leafC/leafC3|metro5/pop1/leafC/leafC3|0", - "metro1/pop1/leafC/leafC4|metro2/pop1/leafC/leafC4|0", - "metro1/pop2/leafC/leafC1|metro2/pop2/leafC/leafC1|0", - "metro1/pop2/leafC/leafC2|metro5/pop2/leafC/leafC2|0", - "metro1/pop1/leafD/leafD3|metro2/pop1/leafD/leafD3|0", - "metro1/pop2/leafB/leafB1|metro5/pop2/leafB/leafB1|0", - "metro2/pop1/leafC/leafC1|metro3/pop1/core/core|0", + "metro2/pop1/leafA/leafA1|metro3/pop1/core/core|0", + "metro2/pop1/leafB/leafB2|metro3/pop1/core/core|0", + "metro1/pop2/leafA/leafA2|metro5/pop2/leafA/leafA2|0", "metro2/pop2/leafA/leafA3|metro5/pop2/leafA/leafA3|0", - "metro2/pop2/leafD/leafD3|metro3/pop2/core/core|0", - "metro1/pop2/leafC/leafC3|metro2/pop2/leafC/leafC3|0", - "metro2/pop1/leafC/leafC2|metro5/pop1/leafC/leafC2|0", - "metro2/pop2/leafA/leafA1|metro5/pop2/leafA/leafA1|0", - "metro1/pop1/leafB/leafB4|metro2/pop1/leafB/leafB4|0", - "metro1/pop1/leafD/leafD4|metro2/pop1/leafD/leafD4|0", - "metro1/pop2/leafD/leafD3|metro5/pop2/leafD/leafD3|0", - "metro2/pop1/leafD/leafD3|metro3/pop1/core/core|0", - "metro1/pop2/leafB/leafB3|metro2/pop2/leafB/leafB3|0", - "metro2/pop2/leafA/leafA2|metro3/pop2/core/core|0", - "metro2/pop1/leafA/leafA4|metro5/pop1/leafA/leafA4|0", - "metro1/pop2/leafA/leafA3|metro5/pop2/leafA/leafA3|0", + "metro1/pop2/leafA/leafA2|metro2/pop2/leafA/leafA2|0", "metro2/pop2/leafC/leafC4|metro3/pop2/core/core|0", - "metro1/pop1/leafA/leafA1|metro2/pop1/leafA/leafA1|0", - "metro1/pop1/leafB/leafB1|metro2/pop1/leafB/leafB1|0", - "metro1/pop2/leafA/leafA1|metro5/pop2/leafA/leafA1|0", - "metro1/pop1/leafB/leafB4|metro5/pop1/leafB/leafB4|0", - "metro1/pop1/leafA/leafA2|metro5/pop1/leafA/leafA2|0", - "metro1/pop1/leafB/leafB1|metro5/pop1/leafB/leafB1|0", - "metro1/pop2/leafA/leafA3|metro2/pop2/leafA/leafA3|0", - "metro2/pop1/leafA/leafA1|metro3/pop1/core/core|0", - "metro2/pop2/leafB/leafB1|metro3/pop2/core/core|0", - "metro1/pop1/leafC/leafC1|metro5/pop1/leafC/leafC1|0", + "metro1/pop1/leafA/leafA4|metro2/pop1/leafA/leafA4|0", + "metro1/pop2/leafD/leafD4|metro2/pop2/leafD/leafD4|0", + "metro2/pop2/leafB/leafB4|metro5/pop2/leafB/leafB4|0", + "metro1/pop2/leafC/leafC3|metro5/pop2/leafC/leafC3|0", + "metro1/pop2/leafD/leafD3|metro2/pop2/leafD/leafD3|0", + "metro1/pop1/leafC/leafC3|metro2/pop1/leafC/leafC3|0", + "metro1/pop2/leafC/leafC1|metro2/pop2/leafC/leafC1|0", "metro2/pop1/leafA/leafA4|metro3/pop1/core/core|0", - "metro1/pop2/leafA/leafA2|metro2/pop2/leafA/leafA2|0", - "metro1/pop1/leafD/leafD2|metro5/pop1/leafD/leafD2|0", + "metro1/pop1/leafB/leafB1|metro5/pop1/leafB/leafB1|0", + "metro2/pop2/leafA/leafA4|metro3/pop2/core/core|0", + "metro2/pop1/leafA/leafA2|metro3/pop1/core/core|0", + "metro1/pop1/leafC/leafC2|metro5/pop1/leafC/leafC2|0", + "metro2/pop2/leafD/leafD4|metro5/pop2/leafD/leafD4|0", + "metro1/pop1/leafA/leafA2|metro5/pop1/leafA/leafA2|0", + "metro2/pop2/leafC/leafC3|metro3/pop2/core/core|0", + "metro1/pop2/leafA/leafA3|metro5/pop2/leafA/leafA3|0", + "metro1/pop2/leafD/leafD2|metro2/pop2/leafD/leafD2|0", + "metro1/pop2/leafA/leafA4|metro2/pop2/leafA/leafA4|0", + "metro2/pop1/leafB/leafB1|metro3/pop1/core/core|0", + "metro2/pop1/leafC/leafC2|metro5/pop1/leafC/leafC2|0", + "metro1/pop1/leafB/leafB2|metro5/pop1/leafB/leafB2|0", + "metro1/pop1/leafA/leafA3|metro5/pop1/leafA/leafA3|0", + "metro1/pop1/leafD/leafD3|metro2/pop1/leafD/leafD3|0", "metro1/pop1/leafA/leafA3|metro2/pop1/leafA/leafA3|0", - "metro2/pop2/leafB/leafB3|metro3/pop2/core/core|0", - "metro1/pop2/leafD/leafD2|metro5/pop2/leafD/leafD2|0", - "metro1/pop2/leafA/leafA2|metro5/pop2/leafA/leafA2|0", - "metro1/pop2/leafB/leafB3|metro5/pop2/leafB/leafB3|0", - "metro1/pop1/leafC/leafC3|metro5/pop1/leafC/leafC3|0", - "metro2/pop1/leafA/leafA3|metro5/pop1/leafA/leafA3|0", + "metro2/pop2/leafC/leafC2|metro3/pop2/core/core|0", + "metro1/pop1/leafA/leafA1|metro5/pop1/leafA/leafA1|0", + "metro2/pop1/leafC/leafC3|metro3/pop1/core/core|0", + "metro1/pop1/leafD/leafD1|metro5/pop1/leafD/leafD1|0", + "metro2/pop2/leafD/leafD2|metro5/pop2/leafD/leafD2|0", "metro1/pop1/leafB/leafB3|metro2/pop1/leafB/leafB3|0", + "metro2/pop1/leafC/leafC2|metro3/pop1/core/core|0", + "metro1/pop1/leafC/leafC1|metro2/pop1/leafC/leafC1|0", + "metro2/pop1/leafD/leafD4|metro3/pop1/core/core|0", + "metro2/pop2/leafC/leafC4|metro5/pop2/leafC/leafC4|0", "metro1/pop2/leafA/leafA4|metro5/pop2/leafA/leafA4|0", - "metro2/pop2/leafD/leafD1|metro5/pop2/leafD/leafD1|0", - "metro2/pop1/leafB/leafB4|metro3/pop1/core/core|0", - "metro2/pop1/leafA/leafA2|metro5/pop1/leafA/leafA2|0", - "metro2/pop1/leafD/leafD2|metro5/pop1/leafD/leafD2|0", - "metro2/pop2/leafD/leafD2|metro3/pop2/core/core|0", "metro1/pop1/leafD/leafD3|metro5/pop1/leafD/leafD3|0", - "metro2/pop2/leafB/leafB2|metro5/pop2/leafB/leafB2|0", - "metro2/pop2/leafA/leafA3|metro3/pop2/core/core|0", - "metro2/pop1/leafD/leafD1|metro5/pop1/leafD/leafD1|0", - "metro1/pop1/leafB/leafB2|metro2/pop1/leafB/leafB2|0", + "metro1/pop1/leafA/leafA4|metro5/pop1/leafA/leafA4|0", + "metro1/pop2/leafB/leafB3|metro5/pop2/leafB/leafB3|0", + "metro2/pop2/leafA/leafA4|metro5/pop2/leafA/leafA4|0", + "metro1/pop2/leafC/leafC1|metro5/pop2/leafC/leafC1|0", + "metro2/pop2/leafA/leafA1|metro3/pop2/core/core|0", + "metro2/pop1/leafB/leafB4|metro3/pop1/core/core|0", + "metro2/pop1/leafA/leafA1|metro5/pop1/leafA/leafA1|0", + "metro1/pop2/leafC/leafC4|metro5/pop2/leafC/leafC4|0", + "metro2/pop2/leafD/leafD4|metro3/pop2/core/core|0", + "metro1/pop2/leafB/leafB4|metro5/pop2/leafB/leafB4|0", + "metro1/pop1/leafD/leafD2|metro5/pop1/leafD/leafD2|0", + "metro2/pop1/leafA/leafA3|metro5/pop1/leafA/leafA3|0", + "metro1/pop1/leafB/leafB4|metro2/pop1/leafB/leafB4|0", + "metro1/pop1/leafB/leafB4|metro5/pop1/leafB/leafB4|0", "metro1/pop2/leafB/leafB2|metro5/pop2/leafB/leafB2|0", + "metro2/pop2/leafC/leafC3|metro5/pop2/leafC/leafC3|0", + "metro2/pop2/leafD/leafD1|metro5/pop2/leafD/leafD1|0", + "metro1/pop2/leafB/leafB3|metro2/pop2/leafB/leafB3|0", "metro1/pop2/leafB/leafB4|metro2/pop2/leafB/leafB4|0", - "metro1/pop1/leafA/leafA3|metro5/pop1/leafA/leafA3|0", + "metro1/pop1/leafD/leafD4|metro2/pop1/leafD/leafD4|0", + "metro2/pop2/leafB/leafB1|metro3/pop2/core/core|0", "metro2/pop1/leafB/leafB3|metro3/pop1/core/core|0", - "metro1/pop2/leafD/leafD1|metro5/pop2/leafD/leafD1|0", - "metro2/pop1/leafC/leafC3|metro3/pop1/core/core|0", - "metro2/pop2/leafD/leafD3|metro5/pop2/leafD/leafD3|0", - "metro1/pop1/leafA/leafA2|metro2/pop1/leafA/leafA2|0", - "metro2/pop2/leafD/leafD2|metro5/pop2/leafD/leafD2|0", - "metro1/pop1/leafC/leafC2|metro2/pop1/leafC/leafC2|0", - "metro1/pop2/leafB/leafB1|metro2/pop2/leafB/leafB1|0", + "metro1/pop2/leafA/leafA1|metro2/pop2/leafA/leafA1|0", + "metro2/pop1/leafC/leafC4|metro3/pop1/core/core|0", + "metro1/pop1/leafB/leafB2|metro2/pop1/leafB/leafB2|0", + "metro2/pop1/leafD/leafD1|metro3/pop1/core/core|0", + "metro2/pop2/leafA/leafA2|metro5/pop2/leafA/leafA2|0", + "metro2/pop1/leafB/leafB1|metro5/pop1/leafB/leafB1|0", + "metro2/pop1/leafA/leafA4|metro5/pop1/leafA/leafA4|0", "metro2/pop2/leafB/leafB2|metro3/pop2/core/core|0", - "metro1/pop1/leafB/leafB3|metro5/pop1/leafB/leafB3|0", - "metro2/pop2/leafC/leafC3|metro3/pop2/core/core|0", - "metro2/pop2/leafC/leafC2|metro3/pop2/core/core|0", + "metro2/pop2/leafB/leafB4|metro3/pop2/core/core|0", + "metro2/pop1/leafD/leafD2|metro5/pop1/leafD/leafD2|0", + "metro1/pop2/leafC/leafC2|metro5/pop2/leafC/leafC2|0", + "metro1/pop1/leafC/leafC4|metro5/pop1/leafC/leafC4|0", + "metro1/pop1/leafC/leafC4|metro2/pop1/leafC/leafC4|0", + "metro1/pop2/leafD/leafD1|metro2/pop2/leafD/leafD1|0", + "metro1/pop1/leafC/leafC2|metro2/pop1/leafC/leafC2|0", + "metro2/pop1/leafC/leafC3|metro5/pop1/leafC/leafC3|0", + "metro1/pop2/leafA/leafA1|metro5/pop2/leafA/leafA1|0", + "metro1/pop2/leafB/leafB1|metro5/pop2/leafB/leafB1|0", + "metro2/pop2/leafC/leafC1|metro5/pop2/leafC/leafC1|0", + "metro1/pop2/leafC/leafC3|metro2/pop2/leafC/leafC3|0", + "metro2/pop1/leafB/leafB3|metro5/pop1/leafB/leafB3|0", + "metro2/pop2/leafA/leafA2|metro3/pop2/core/core|0", + "metro2/pop1/leafD/leafD2|metro3/pop1/core/core|0", + "metro1/pop1/leafA/leafA2|metro2/pop1/leafA/leafA2|0", + "metro1/pop2/leafD/leafD3|metro5/pop2/leafD/leafD3|0", + "metro2/pop2/leafA/leafA1|metro5/pop2/leafA/leafA1|0", "metro1/pop2/leafC/leafC4|metro2/pop2/leafC/leafC4|0", - "metro2/pop2/leafB/leafB4|metro5/pop2/leafB/leafB4|0", - "metro2/pop1/leafC/leafC4|metro5/pop1/leafC/leafC4|0", "metro2/pop2/leafC/leafC2|metro5/pop2/leafC/leafC2|0", - "metro1/pop1/leafD/leafD1|metro5/pop1/leafD/leafD1|0", - "metro2/pop1/leafA/leafA1|metro5/pop1/leafA/leafA1|0", - "metro1/pop1/leafC/leafC3|metro2/pop1/leafC/leafC3|0", - "metro2/pop1/leafD/leafD4|metro5/pop1/leafD/leafD4|0", - "metro2/pop2/leafC/leafC1|metro3/pop2/core/core|0", - "metro2/pop2/leafA/leafA4|metro3/pop2/core/core|0", - "metro2/pop1/leafA/leafA2|metro3/pop1/core/core|0", - "metro1/pop1/leafC/leafC2|metro5/pop1/leafC/leafC2|0", - "metro1/pop1/leafC/leafC1|metro2/pop1/leafC/leafC1|0", - "metro1/pop2/leafA/leafA1|metro2/pop2/leafA/leafA1|0", - "metro1/pop2/leafD/leafD2|metro2/pop2/leafD/leafD2|0", - "metro2/pop1/leafD/leafD2|metro3/pop1/core/core|0", + "metro1/pop2/leafB/leafB2|metro2/pop2/leafB/leafB2|0", + "metro2/pop1/leafD/leafD3|metro5/pop1/leafD/leafD3|0", "metro2/pop2/leafD/leafD1|metro3/pop2/core/core|0", - "metro2/pop2/leafA/leafA4|metro5/pop2/leafA/leafA4|0", - "metro1/pop1/leafA/leafA4|metro5/pop1/leafA/leafA4|0", + "metro1/pop2/leafB/leafB1|metro2/pop2/leafB/leafB1|0", + "metro2/pop2/leafA/leafA3|metro3/pop2/core/core|0", + "metro2/pop1/leafD/leafD1|metro5/pop1/leafD/leafD1|0", + "metro2/pop1/leafA/leafA2|metro5/pop1/leafA/leafA2|0", + "metro2/pop2/leafD/leafD3|metro5/pop2/leafD/leafD3|0", + "metro2/pop1/leafC/leafC4|metro5/pop1/leafC/leafC4|0", + "metro2/pop1/leafC/leafC1|metro3/pop1/core/core|0", + "metro2/pop2/leafD/leafD2|metro3/pop2/core/core|0", + "metro2/pop2/leafD/leafD3|metro3/pop2/core/core|0", + "metro1/pop1/leafA/leafA1|metro2/pop1/leafA/leafA1|0", + "metro1/pop1/leafC/leafC1|metro5/pop1/leafC/leafC1|0", + "metro2/pop2/leafB/leafB3|metro3/pop2/core/core|0", + "metro1/pop2/leafD/leafD1|metro5/pop2/leafD/leafD1|0", + "metro2/pop1/leafD/leafD3|metro3/pop1/core/core|0", "metro2/pop2/leafB/leafB3|metro5/pop2/leafB/leafB3|0", - "metro2/pop2/leafD/leafD4|metro3/pop2/core/core|0", - "metro2/pop1/leafD/leafD3|metro5/pop1/leafD/leafD3|0", - "metro1/pop1/leafB/leafB2|metro5/pop1/leafB/leafB2|0", + "metro2/pop2/leafB/leafB1|metro5/pop2/leafB/leafB1|0", + "metro2/pop2/leafC/leafC1|metro3/pop2/core/core|0", + "metro2/pop1/leafB/leafB4|metro5/pop1/leafB/leafB4|0", + "metro2/pop2/leafB/leafB2|metro5/pop2/leafB/leafB2|0", + "metro1/pop1/leafC/leafC3|metro5/pop1/leafC/leafC3|0", + "metro2/pop1/leafD/leafD4|metro5/pop1/leafD/leafD4|0", + "metro1/pop2/leafD/leafD2|metro5/pop2/leafD/leafD2|0", "metro1/pop1/leafD/leafD4|metro5/pop1/leafD/leafD4|0", - "metro1/pop1/leafD/leafD2|metro2/pop1/leafD/leafD2|0", - "metro1/pop2/leafB/leafB4|metro5/pop2/leafB/leafB4|0", - "metro2/pop1/leafD/leafD4|metro3/pop1/core/core|0", - "metro2/pop2/leafA/leafA1|metro3/pop2/core/core|0", - "metro2/pop1/leafB/leafB2|metro3/pop1/core/core|0", - "metro2/pop1/leafC/leafC2|metro3/pop1/core/core|0", "metro1/pop2/leafD/leafD4|metro5/pop2/leafD/leafD4|0", - "metro2/pop2/leafC/leafC1|metro5/pop2/leafC/leafC1|0", - "metro2/pop1/leafB/leafB1|metro5/pop1/leafB/leafB1|0", - "metro1/pop1/leafA/leafA1|metro5/pop1/leafA/leafA1|0", - "metro1/pop2/leafD/leafD3|metro2/pop2/leafD/leafD3|0", - "metro1/pop1/leafD/leafD1|metro2/pop1/leafD/leafD1|0", - "metro2/pop1/leafB/leafB4|metro5/pop1/leafB/leafB4|0", + "metro2/pop1/leafA/leafA3|metro3/pop1/core/core|0", + "metro1/pop1/leafB/leafB1|metro2/pop1/leafB/leafB1|0", + "metro1/pop1/leafD/leafD2|metro2/pop1/leafD/leafD2|0", "metro1/pop2/leafC/leafC2|metro2/pop2/leafC/leafC2|0", - "metro1/pop1/leafC/leafC4|metro5/pop1/leafC/leafC4|0", - "metro1/pop2/leafC/leafC4|metro5/pop2/leafC/leafC4|0", + "metro1/pop2/leafA/leafA3|metro2/pop2/leafA/leafA3|0", "metro2/pop1/leafC/leafC1|metro5/pop1/leafC/leafC1|0", - "metro2/pop2/leafD/leafD4|metro5/pop2/leafD/leafD4|0", - "metro2/pop1/leafB/leafB1|metro3/pop1/core/core|0", - "metro1/pop2/leafB/leafB2|metro2/pop2/leafB/leafB2|0", - "metro2/pop1/leafD/leafD1|metro3/pop1/core/core|0", - "metro2/pop2/leafA/leafA2|metro5/pop2/leafA/leafA2|0", - "metro1/pop2/leafC/leafC3|metro5/pop2/leafC/leafC3|0", - "metro2/pop1/leafC/leafC4|metro3/pop1/core/core|0", - "metro2/pop1/leafA/leafA3|metro3/pop1/core/core|0", - "metro2/pop2/leafC/leafC4|metro5/pop2/leafC/leafC4|0", - "metro1/pop2/leafD/leafD1|metro2/pop2/leafD/leafD1|0", - "metro2/pop2/leafB/leafB1|metro5/pop2/leafB/leafB1|0" + "metro1/pop1/leafD/leafD1|metro2/pop1/leafD/leafD1|0", + "metro1/pop1/leafB/leafB3|metro5/pop1/leafB/leafB3|0" ] }, "failure_trace": null, @@ -2601,9 +2601,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro5/pop2/leafA/leafA4|metro5/dc1/dc/dc|0", + "metro2/pop1/leafC/leafC4|metro2/dc1/dc/dc|0", "metro5/pop2/leafC/leafC4|metro5/dc1/dc/dc|0", - "metro2/pop1/leafC/leafC4|metro2/dc1/dc/dc|0" + "metro5/pop2/leafA/leafA4|metro5/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -2710,9 +2710,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro2/pop2/leafA/leafA1|metro2/dc1/dc/dc|0", + "metro1/pop1/leafC/leafC3|metro1/dc1/dc/dc|0", "metro1/pop2/leafA/leafA3|metro1/dc1/dc/dc|0", - "metro1/pop1/leafC/leafC3|metro1/dc1/dc/dc|0" + "metro2/pop2/leafA/leafA1|metro2/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -3028,8 +3028,8 @@ "excluded_nodes": [], "excluded_links": [ "metro2/pop1/leafA/leafA2|metro2/dc1/dc/dc|0", - "metro2/pop1/leafD/leafD2|metro2/dc1/dc/dc|0", - "metro1/pop2/leafA/leafA2|metro1/dc1/dc/dc|0" + "metro1/pop2/leafA/leafA2|metro1/dc1/dc/dc|0", + "metro2/pop1/leafD/leafD2|metro2/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -3240,102 +3240,102 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro2/pop2/leafD/leafD2|metro3/pop2/core/core|0", - "metro1/pop1/leafD/leafD3|metro5/pop1/leafD/leafD3|0", - "metro2/pop2/leafB/leafB4|metro3/pop2/core/core|0", - "metro2/pop2/leafC/leafC3|metro5/pop2/leafC/leafC3|0", - "metro2/pop2/leafA/leafA3|metro3/pop2/core/core|0", - "metro2/pop1/leafD/leafD1|metro5/pop1/leafD/leafD1|0", - "metro1/pop2/leafC/leafC1|metro5/pop2/leafC/leafC1|0", "metro2/pop1/leafB/leafB2|metro5/pop1/leafB/leafB2|0", - "metro2/pop1/leafB/leafB3|metro5/pop1/leafB/leafB3|0", - "metro2/pop1/leafC/leafC3|metro5/pop1/leafC/leafC3|0", - "metro1/pop2/leafB/leafB2|metro5/pop2/leafB/leafB2|0", - "metro1/pop1/leafA/leafA3|metro5/pop1/leafA/leafA3|0", - "metro2/pop1/leafB/leafB3|metro3/pop1/core/core|0", - "metro1/pop2/leafC/leafC2|metro5/pop2/leafC/leafC2|0", - "metro1/pop2/leafD/leafD1|metro5/pop2/leafD/leafD1|0", - "metro2/pop1/leafC/leafC3|metro3/pop1/core/core|0", - "metro2/pop2/leafD/leafD3|metro5/pop2/leafD/leafD3|0", - "metro1/pop2/leafB/leafB1|metro5/pop2/leafB/leafB1|0", - "metro2/pop1/leafB/leafB4|metro3/pop1/core/core|0", - "metro2/pop1/leafC/leafC1|metro3/pop1/core/core|0", - "metro2/pop2/leafD/leafD2|metro5/pop2/leafD/leafD2|0", + "metro2/pop1/leafB/leafB1|metro5/pop1/leafB/leafB1|0", + "metro2/pop1/leafA/leafA1|metro3/pop1/core/core|0", + "metro2/pop1/leafB/leafB2|metro3/pop1/core/core|0", + "metro1/pop2/leafA/leafA2|metro5/pop2/leafA/leafA2|0", "metro2/pop2/leafA/leafA3|metro5/pop2/leafA/leafA3|0", - "metro2/pop1/leafD/leafD2|metro5/pop1/leafD/leafD2|0", - "metro2/pop2/leafD/leafD3|metro3/pop2/core/core|0", + "metro2/pop2/leafC/leafC4|metro3/pop2/core/core|0", + "metro2/pop1/leafA/leafA4|metro5/pop1/leafA/leafA4|0", "metro2/pop2/leafB/leafB2|metro3/pop2/core/core|0", - "metro1/pop1/leafB/leafB3|metro5/pop1/leafB/leafB3|0", - "metro2/pop2/leafC/leafC3|metro3/pop2/core/core|0", - "metro2/pop1/leafC/leafC2|metro5/pop1/leafC/leafC2|0", - "metro2/pop2/leafA/leafA1|metro5/pop2/leafA/leafA1|0", - "metro2/pop2/leafC/leafC2|metro3/pop2/core/core|0", + "metro2/pop2/leafB/leafB4|metro3/pop2/core/core|0", "metro2/pop2/leafB/leafB4|metro5/pop2/leafB/leafB4|0", - "metro2/pop1/leafC/leafC4|metro5/pop1/leafC/leafC4|0", - "metro2/pop2/leafC/leafC2|metro5/pop2/leafC/leafC2|0", - "metro1/pop2/leafD/leafD3|metro5/pop2/leafD/leafD3|0", - "metro1/pop1/leafD/leafD1|metro5/pop1/leafD/leafD1|0", - "metro2/pop1/leafD/leafD3|metro3/pop1/core/core|0", - "metro2/pop2/leafA/leafA2|metro3/pop2/core/core|0", - "metro2/pop1/leafA/leafA1|metro5/pop1/leafA/leafA1|0", - "metro2/pop1/leafD/leafD4|metro5/pop1/leafD/leafD4|0", - "metro2/pop2/leafC/leafC1|metro3/pop2/core/core|0", + "metro2/pop1/leafD/leafD2|metro5/pop1/leafD/leafD2|0", + "metro1/pop2/leafC/leafC2|metro5/pop2/leafC/leafC2|0", + "metro1/pop2/leafC/leafC3|metro5/pop2/leafC/leafC3|0", + "metro1/pop1/leafC/leafC4|metro5/pop1/leafC/leafC4|0", + "metro2/pop1/leafA/leafA4|metro3/pop1/core/core|0", + "metro1/pop1/leafB/leafB1|metro5/pop1/leafB/leafB1|0", "metro2/pop2/leafA/leafA4|metro3/pop2/core/core|0", - "metro2/pop1/leafA/leafA4|metro5/pop1/leafA/leafA4|0", + "metro2/pop1/leafC/leafC3|metro5/pop1/leafC/leafC3|0", "metro2/pop1/leafA/leafA2|metro3/pop1/core/core|0", "metro1/pop1/leafC/leafC2|metro5/pop1/leafC/leafC2|0", + "metro2/pop2/leafD/leafD4|metro5/pop2/leafD/leafD4|0", + "metro1/pop2/leafA/leafA1|metro5/pop2/leafA/leafA1|0", + "metro1/pop2/leafB/leafB1|metro5/pop2/leafB/leafB1|0", + "metro1/pop1/leafA/leafA2|metro5/pop1/leafA/leafA2|0", + "metro2/pop2/leafC/leafC3|metro3/pop2/core/core|0", + "metro2/pop2/leafC/leafC1|metro5/pop2/leafC/leafC1|0", "metro1/pop2/leafA/leafA3|metro5/pop2/leafA/leafA3|0", - "metro2/pop2/leafC/leafC4|metro3/pop2/core/core|0", + "metro2/pop1/leafB/leafB3|metro5/pop1/leafB/leafB3|0", + "metro2/pop2/leafA/leafA2|metro3/pop2/core/core|0", + "metro2/pop1/leafB/leafB1|metro3/pop1/core/core|0", + "metro2/pop1/leafC/leafC2|metro5/pop1/leafC/leafC2|0", "metro2/pop1/leafD/leafD2|metro3/pop1/core/core|0", + "metro1/pop1/leafB/leafB2|metro5/pop1/leafB/leafB2|0", + "metro1/pop2/leafD/leafD3|metro5/pop2/leafD/leafD3|0", + "metro2/pop2/leafA/leafA1|metro5/pop2/leafA/leafA1|0", + "metro2/pop2/leafC/leafC2|metro5/pop2/leafC/leafC2|0", + "metro1/pop1/leafA/leafA3|metro5/pop1/leafA/leafA3|0", + "metro2/pop1/leafD/leafD3|metro5/pop1/leafD/leafD3|0", "metro2/pop2/leafD/leafD1|metro3/pop2/core/core|0", - "metro2/pop2/leafA/leafA4|metro5/pop2/leafA/leafA4|0", + "metro2/pop2/leafC/leafC2|metro3/pop2/core/core|0", + "metro1/pop1/leafA/leafA1|metro5/pop1/leafA/leafA1|0", + "metro2/pop1/leafC/leafC3|metro3/pop1/core/core|0", + "metro1/pop1/leafD/leafD1|metro5/pop1/leafD/leafD1|0", + "metro2/pop2/leafA/leafA3|metro3/pop2/core/core|0", + "metro2/pop1/leafD/leafD1|metro5/pop1/leafD/leafD1|0", + "metro2/pop2/leafD/leafD2|metro5/pop2/leafD/leafD2|0", + "metro2/pop1/leafA/leafA2|metro5/pop1/leafA/leafA2|0", + "metro2/pop2/leafD/leafD3|metro5/pop2/leafD/leafD3|0", + "metro2/pop1/leafC/leafC4|metro5/pop1/leafC/leafC4|0", + "metro2/pop1/leafC/leafC1|metro3/pop1/core/core|0", + "metro2/pop1/leafC/leafC2|metro3/pop1/core/core|0", + "metro2/pop2/leafD/leafD2|metro3/pop2/core/core|0", + "metro2/pop2/leafD/leafD3|metro3/pop2/core/core|0", + "metro1/pop1/leafB/leafB3|metro5/pop1/leafB/leafB3|0", + "metro2/pop1/leafD/leafD4|metro3/pop1/core/core|0", + "metro2/pop2/leafC/leafC4|metro5/pop2/leafC/leafC4|0", + "metro1/pop1/leafC/leafC1|metro5/pop1/leafC/leafC1|0", + "metro1/pop2/leafA/leafA4|metro5/pop2/leafA/leafA4|0", + "metro2/pop2/leafB/leafB3|metro3/pop2/core/core|0", + "metro1/pop1/leafD/leafD3|metro5/pop1/leafD/leafD3|0", "metro1/pop1/leafA/leafA4|metro5/pop1/leafA/leafA4|0", + "metro1/pop2/leafD/leafD1|metro5/pop2/leafD/leafD1|0", + "metro1/pop2/leafB/leafB3|metro5/pop2/leafB/leafB3|0", + "metro2/pop2/leafA/leafA4|metro5/pop2/leafA/leafA4|0", + "metro2/pop1/leafD/leafD3|metro3/pop1/core/core|0", + "metro1/pop2/leafC/leafC1|metro5/pop2/leafC/leafC1|0", "metro2/pop2/leafB/leafB3|metro5/pop2/leafB/leafB3|0", - "metro1/pop2/leafA/leafA1|metro5/pop2/leafA/leafA1|0", - "metro1/pop1/leafB/leafB4|metro5/pop1/leafB/leafB4|0", - "metro1/pop1/leafA/leafA2|metro5/pop1/leafA/leafA2|0", - "metro1/pop1/leafB/leafB1|metro5/pop1/leafB/leafB1|0", + "metro2/pop2/leafA/leafA1|metro3/pop2/core/core|0", + "metro2/pop2/leafB/leafB1|metro5/pop2/leafB/leafB1|0", + "metro2/pop2/leafC/leafC1|metro3/pop2/core/core|0", + "metro2/pop1/leafB/leafB4|metro5/pop1/leafB/leafB4|0", + "metro2/pop1/leafB/leafB4|metro3/pop1/core/core|0", + "metro2/pop2/leafB/leafB2|metro5/pop2/leafB/leafB2|0", + "metro2/pop1/leafA/leafA1|metro5/pop1/leafA/leafA1|0", + "metro1/pop2/leafC/leafC4|metro5/pop2/leafC/leafC4|0", "metro2/pop2/leafD/leafD4|metro3/pop2/core/core|0", - "metro2/pop1/leafA/leafA1|metro3/pop1/core/core|0", - "metro2/pop1/leafD/leafD3|metro5/pop1/leafD/leafD3|0", - "metro2/pop2/leafB/leafB1|metro3/pop2/core/core|0", - "metro1/pop1/leafB/leafB2|metro5/pop1/leafB/leafB2|0", - "metro1/pop1/leafC/leafC1|metro5/pop1/leafC/leafC1|0", - "metro2/pop1/leafA/leafA4|metro3/pop1/core/core|0", - "metro1/pop1/leafD/leafD4|metro5/pop1/leafD/leafD4|0", "metro1/pop2/leafB/leafB4|metro5/pop2/leafB/leafB4|0", - "metro2/pop1/leafD/leafD4|metro3/pop1/core/core|0", - "metro2/pop2/leafA/leafA1|metro3/pop2/core/core|0", - "metro2/pop1/leafB/leafB2|metro3/pop1/core/core|0", - "metro2/pop1/leafC/leafC2|metro3/pop1/core/core|0", - "metro1/pop2/leafD/leafD4|metro5/pop2/leafD/leafD4|0", "metro1/pop1/leafD/leafD2|metro5/pop1/leafD/leafD2|0", - "metro2/pop2/leafC/leafC1|metro5/pop2/leafC/leafC1|0", - "metro2/pop1/leafB/leafB1|metro5/pop1/leafB/leafB1|0", - "metro2/pop2/leafB/leafB3|metro3/pop2/core/core|0", - "metro1/pop1/leafA/leafA1|metro5/pop1/leafA/leafA1|0", + "metro2/pop1/leafA/leafA3|metro5/pop1/leafA/leafA3|0", + "metro1/pop1/leafC/leafC3|metro5/pop1/leafC/leafC3|0", + "metro1/pop1/leafB/leafB4|metro5/pop1/leafB/leafB4|0", + "metro1/pop2/leafB/leafB2|metro5/pop2/leafB/leafB2|0", + "metro2/pop2/leafC/leafC3|metro5/pop2/leafC/leafC3|0", + "metro2/pop2/leafD/leafD1|metro5/pop2/leafD/leafD1|0", + "metro2/pop1/leafD/leafD4|metro5/pop1/leafD/leafD4|0", "metro1/pop2/leafD/leafD2|metro5/pop2/leafD/leafD2|0", - "metro2/pop1/leafB/leafB4|metro5/pop1/leafB/leafB4|0", - "metro1/pop2/leafA/leafA2|metro5/pop2/leafA/leafA2|0", - "metro1/pop1/leafC/leafC4|metro5/pop1/leafC/leafC4|0", - "metro1/pop2/leafC/leafC4|metro5/pop2/leafC/leafC4|0", + "metro1/pop1/leafD/leafD4|metro5/pop1/leafD/leafD4|0", + "metro1/pop2/leafD/leafD4|metro5/pop2/leafD/leafD4|0", + "metro2/pop2/leafB/leafB1|metro3/pop2/core/core|0", + "metro2/pop1/leafB/leafB3|metro3/pop1/core/core|0", + "metro2/pop1/leafA/leafA3|metro3/pop1/core/core|0", + "metro2/pop1/leafC/leafC4|metro3/pop1/core/core|0", "metro2/pop1/leafC/leafC1|metro5/pop1/leafC/leafC1|0", - "metro1/pop2/leafB/leafB3|metro5/pop2/leafB/leafB3|0", - "metro2/pop2/leafD/leafD4|metro5/pop2/leafD/leafD4|0", - "metro1/pop1/leafC/leafC3|metro5/pop1/leafC/leafC3|0", - "metro2/pop1/leafB/leafB1|metro3/pop1/core/core|0", "metro2/pop1/leafD/leafD1|metro3/pop1/core/core|0", - "metro2/pop2/leafA/leafA2|metro5/pop2/leafA/leafA2|0", - "metro2/pop1/leafA/leafA3|metro5/pop1/leafA/leafA3|0", - "metro1/pop2/leafC/leafC3|metro5/pop2/leafC/leafC3|0", - "metro1/pop2/leafA/leafA4|metro5/pop2/leafA/leafA4|0", - "metro2/pop1/leafC/leafC4|metro3/pop1/core/core|0", - "metro2/pop1/leafA/leafA3|metro3/pop1/core/core|0", - "metro2/pop2/leafC/leafC4|metro5/pop2/leafC/leafC4|0", - "metro2/pop2/leafB/leafB2|metro5/pop2/leafB/leafB2|0", - "metro2/pop2/leafD/leafD1|metro5/pop2/leafD/leafD1|0", - "metro2/pop1/leafA/leafA2|metro5/pop1/leafA/leafA2|0", - "metro2/pop2/leafB/leafB1|metro5/pop2/leafB/leafB1|0" + "metro2/pop2/leafA/leafA2|metro5/pop2/leafA/leafA2|0" ] }, "failure_trace": null, @@ -3428,9 +3428,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ + "metro1/pop2/leafA/leafA2|metro1/dc1/dc/dc|0", "metro5/pop2/leafC/leafC4|metro5/dc1/dc/dc|0", - "metro5/pop2/leafA/leafA2|metro5/dc1/dc/dc|0", - "metro1/pop2/leafA/leafA2|metro1/dc1/dc/dc|0" + "metro5/pop2/leafA/leafA2|metro5/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -3539,8 +3539,8 @@ "excluded_nodes": [], "excluded_links": [ "metro2/pop1/leafD/leafD2|metro2/dc1/dc/dc|0", - "metro1/pop1/leafA/leafA2|metro1/dc1/dc/dc|0", - "metro2/pop1/leafA/leafA4|metro2/dc1/dc/dc|0" + "metro2/pop1/leafA/leafA4|metro2/dc1/dc/dc|0", + "metro1/pop1/leafA/leafA2|metro1/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -3748,38 +3748,38 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro2/pop2/leafC/leafC3|metro4/pop2/core/core|0", "metro2/pop1/leafB/leafB1|metro4/pop1/core/core|0", - "metro2/pop1/leafB/leafB4|metro4/pop1/core/core|0", - "metro2/pop2/leafA/leafA4|metro4/pop2/core/core|0", - "metro2/pop1/leafB/leafB3|metro4/pop1/core/core|0", - "metro2/pop2/leafA/leafA3|metro4/pop2/core/core|0", - "metro2/pop2/leafC/leafC4|metro4/pop2/core/core|0", - "metro2/pop2/leafD/leafD2|metro4/pop2/core/core|0", - "metro2/pop1/leafC/leafC1|metro4/pop1/core/core|0", - "metro2/pop1/leafA/leafA2|metro4/pop1/core/core|0", - "metro2/pop2/leafD/leafD3|metro4/pop2/core/core|0", - "metro2/pop1/leafD/leafD3|metro4/pop1/core/core|0", - "metro2/pop2/leafB/leafB4|metro4/pop2/core/core|0", - "metro2/pop2/leafA/leafA2|metro4/pop2/core/core|0", - "metro2/pop2/leafC/leafC2|metro4/pop2/core/core|0", + "metro2/pop1/leafD/leafD4|metro4/pop1/core/core|0", "metro2/pop2/leafD/leafD1|metro4/pop2/core/core|0", - "metro2/pop2/leafC/leafC1|metro4/pop2/core/core|0", + "metro2/pop2/leafB/leafB4|metro4/pop2/core/core|0", + "metro2/pop2/leafC/leafC3|metro4/pop2/core/core|0", + "metro2/pop1/leafC/leafC1|metro4/pop1/core/core|0", "metro2/pop2/leafB/leafB1|metro4/pop2/core/core|0", + "metro2/pop2/leafB/leafB3|metro4/pop2/core/core|0", + "metro2/pop1/leafB/leafB3|metro4/pop1/core/core|0", + "metro2/pop2/leafC/leafC4|metro4/pop2/core/core|0", "metro2/pop1/leafC/leafC3|metro4/pop1/core/core|0", - "metro2/pop2/leafA/leafA1|metro4/pop2/core/core|0", - "metro2/pop1/leafA/leafA1|metro4/pop1/core/core|0", - "metro2/pop1/leafD/leafD2|metro4/pop1/core/core|0", - "metro2/pop1/leafC/leafC2|metro4/pop1/core/core|0", "metro2/pop2/leafB/leafB2|metro4/pop2/core/core|0", + "metro2/pop2/leafA/leafA3|metro4/pop2/core/core|0", + "metro2/pop1/leafC/leafC4|metro4/pop1/core/core|0", + "metro2/pop1/leafD/leafD2|metro4/pop1/core/core|0", "metro2/pop1/leafA/leafA3|metro4/pop1/core/core|0", - "metro2/pop1/leafD/leafD4|metro4/pop1/core/core|0", - "metro2/pop1/leafD/leafD1|metro4/pop1/core/core|0", + "metro2/pop2/leafC/leafC1|metro4/pop2/core/core|0", + "metro2/pop1/leafB/leafB4|metro4/pop1/core/core|0", + "metro2/pop1/leafB/leafB2|metro4/pop1/core/core|0", + "metro2/pop2/leafA/leafA2|metro4/pop2/core/core|0", + "metro2/pop1/leafA/leafA1|metro4/pop1/core/core|0", + "metro2/pop2/leafA/leafA1|metro4/pop2/core/core|0", "metro2/pop1/leafA/leafA4|metro4/pop1/core/core|0", - "metro2/pop2/leafB/leafB3|metro4/pop2/core/core|0", + "metro2/pop1/leafD/leafD3|metro4/pop1/core/core|0", + "metro2/pop2/leafD/leafD3|metro4/pop2/core/core|0", + "metro2/pop1/leafD/leafD1|metro4/pop1/core/core|0", + "metro2/pop2/leafA/leafA4|metro4/pop2/core/core|0", + "metro2/pop2/leafD/leafD2|metro4/pop2/core/core|0", "metro2/pop2/leafD/leafD4|metro4/pop2/core/core|0", - "metro2/pop1/leafC/leafC4|metro4/pop1/core/core|0", - "metro2/pop1/leafB/leafB2|metro4/pop1/core/core|0" + "metro2/pop1/leafA/leafA2|metro4/pop1/core/core|0", + "metro2/pop1/leafC/leafC2|metro4/pop1/core/core|0", + "metro2/pop2/leafC/leafC2|metro4/pop2/core/core|0" ] }, "failure_trace": null, @@ -3878,9 +3878,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro2/pop2/leafB/leafB1|metro2/dc1/dc/dc|0", "metro2/pop2/leafD/leafD3|metro2/dc1/dc/dc|0", - "metro2/pop1/leafA/leafA1|metro2/dc1/dc/dc|0" + "metro2/pop1/leafA/leafA1|metro2/dc1/dc/dc|0", + "metro2/pop2/leafB/leafB1|metro2/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -3987,9 +3987,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro1/pop2/leafD/leafD3|metro1/dc1/dc/dc|0", "metro2/pop1/leafB/leafB3|metro2/dc1/dc/dc|0", - "metro1/pop2/leafB/leafB4|metro1/dc1/dc/dc|0" + "metro1/pop2/leafB/leafB4|metro1/dc1/dc/dc|0", + "metro1/pop2/leafD/leafD3|metro1/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -4097,8 +4097,8 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro5/pop1/leafB/leafB2|metro5/pop1/leafC/leafC2|0", "metro2/pop2/leafA/leafA2|metro2/pop2/leafA/leafA3|0", + "metro5/pop1/leafB/leafB2|metro5/pop1/leafC/leafC2|0", "metro5/pop1/leafC/leafC3|metro5/pop1/leafC/leafC4|0", "metro5/pop1/leafB/leafB2|metro5/pop1/leafB/leafB4|0" ] @@ -4199,10 +4199,10 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro5/pop1/leafA/leafA3|metro5/pop1/leafB/leafB3|0", "metro2/pop2/leafB/leafB3|metro2/pop2/leafB/leafB4|0", "metro1/pop2/leafB/leafB3|metro1/pop2/leafB/leafB4|0", - "metro2/pop1/leafB/leafB1|metro2/pop1/leafB/leafB4|0" + "metro2/pop1/leafB/leafB1|metro2/pop1/leafB/leafB4|0", + "metro5/pop1/leafA/leafA3|metro5/pop1/leafB/leafB3|0" ] }, "failure_trace": null, @@ -4619,9 +4619,9 @@ "excluded_nodes": [], "excluded_links": [ "metro2/pop1/leafC/leafC1|metro2/pop1/leafC/leafC4|0", - "metro1/pop1/leafC/leafC3|metro1/pop1/leafD/leafD3|0", "metro5/pop1/leafC/leafC2|metro5/pop1/leafD/leafD2|0", - "metro5/pop1/leafC/leafC1|metro5/pop1/leafD/leafD1|0" + "metro5/pop1/leafC/leafC1|metro5/pop1/leafD/leafD1|0", + "metro1/pop1/leafC/leafC3|metro1/pop1/leafD/leafD3|0" ] }, "failure_trace": null, @@ -4721,8 +4721,8 @@ "excluded_nodes": [], "excluded_links": [ "metro1/pop1/leafA/leafA1|metro1/dc1/dc/dc|0", - "metro5/pop2/leafA/leafA4|metro5/dc1/dc/dc|0", - "metro2/pop2/leafC/leafC4|metro2/dc1/dc/dc|0" + "metro2/pop2/leafC/leafC4|metro2/dc1/dc/dc|0", + "metro5/pop2/leafA/leafA4|metro5/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -4831,72 +4831,72 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro4/pop2/core/core|metro5/pop2/leafC/leafC1|0", - "metro4/pop1/core/core|metro5/pop1/leafA/leafA1|0", - "metro3/pop2/core/core|metro5/pop2/leafB/leafB1|0", - "metro4/pop1/core/core|metro5/pop1/leafD/leafD2|0", - "metro3/pop2/core/core|metro5/pop2/leafA/leafA4|0", - "metro3/pop2/core/core|metro5/pop2/leafC/leafC1|0", - "metro4/pop1/core/core|metro5/pop1/leafD/leafD4|0", - "metro3/pop1/core/core|metro5/pop1/leafD/leafD3|0", - "metro4/pop2/core/core|metro5/pop2/leafD/leafD2|0", - "metro4/pop1/core/core|metro5/pop1/leafB/leafB3|0", - "metro3/pop2/core/core|metro5/pop2/leafB/leafB2|0", + "metro3/pop2/core/core|metro5/pop2/leafD/leafD1|0", "metro4/pop1/core/core|metro5/pop1/leafD/leafD3|0", - "metro4/pop2/core/core|metro5/pop2/leafB/leafB1|0", - "metro3/pop1/core/core|metro5/pop1/leafC/leafC3|0", + "metro4/pop2/core/core|metro5/pop2/leafA/leafA1|0", "metro4/pop2/core/core|metro5/pop2/leafA/leafA3|0", - "metro4/pop2/core/core|metro5/pop2/leafC/leafC2|0", - "metro3/pop2/core/core|metro5/pop2/leafD/leafD3|0", - "metro3/pop2/core/core|metro5/pop2/leafC/leafC2|0", - "metro4/pop2/core/core|metro5/pop2/leafC/leafC3|0", + "metro3/pop1/core/core|metro5/pop1/leafC/leafC4|0", + "metro3/pop1/core/core|metro5/pop1/leafC/leafC3|0", + "metro4/pop1/core/core|metro5/pop1/leafA/leafA4|0", + "metro3/pop2/core/core|metro4/pop2/core/core|0", + "metro4/pop2/core/core|metro5/pop2/leafC/leafC4|0", "metro3/pop2/core/core|metro5/pop2/leafB/leafB4|0", - "metro3/pop1/core/core|metro5/pop1/leafA/leafA3|0", - "metro3/pop1/core/core|metro5/pop1/leafA/leafA2|0", - "metro4/pop2/core/core|metro5/pop2/leafA/leafA4|0", + "metro4/pop2/core/core|metro5/pop2/leafA/leafA2|0", + "metro3/pop2/core/core|metro5/pop2/leafC/leafC2|0", + "metro4/pop1/core/core|metro5/pop1/leafD/leafD1|0", + "metro4/pop1/core/core|metro5/pop1/leafA/leafA1|0", "metro3/pop2/core/core|metro5/pop2/leafA/leafA3|0", - "metro4/pop2/core/core|metro5/pop2/leafB/leafB4|0", - "metro4/pop1/core/core|metro5/pop1/leafB/leafB1|0", - "metro3/pop1/core/core|metro5/pop1/leafD/leafD1|0", + "metro3/pop1/core/core|metro5/pop1/leafA/leafA1|0", + "metro3/pop2/core/core|metro5/pop2/leafC/leafC4|0", "metro3/pop2/core/core|metro5/pop2/leafC/leafC3|0", - "metro4/pop1/core/core|metro5/pop1/leafC/leafC1|0", + "metro4/pop1/core/core|metro5/pop1/leafB/leafB2|0", + "metro3/pop2/core/core|metro5/pop2/leafD/leafD2|0", + "metro3/pop1/core/core|metro5/pop1/leafA/leafA3|0", + "metro3/pop1/core/core|metro5/pop1/leafA/leafA4|0", "metro4/pop1/core/core|metro5/pop1/leafC/leafC4|0", - "metro3/pop1/core/core|metro5/pop1/leafD/leafD4|0", - "metro4/pop1/core/core|metro5/pop1/leafC/leafC3|0", - "metro3/pop2/core/core|metro5/pop2/leafD/leafD1|0", + "metro4/pop1/core/core|metro5/pop1/leafA/leafA2|0", + "metro4/pop2/core/core|metro5/pop2/leafC/leafC1|0", + "metro4/pop1/core/core|metro5/pop1/leafB/leafB1|0", + "metro4/pop1/core/core|metro5/pop1/leafD/leafD4|0", + "metro3/pop1/core/core|metro5/pop1/leafB/leafB4|0", + "metro3/pop2/core/core|metro5/pop2/leafC/leafC1|0", + "metro3/pop1/core/core|metro4/pop1/core/core|0", + "metro3/pop2/core/core|metro5/pop2/leafA/leafA2|0", + "metro4/pop1/core/core|metro5/pop1/leafB/leafB3|0", + "metro4/pop1/core/core|metro5/pop1/leafA/leafA3|0", + "metro4/pop2/core/core|metro5/pop2/leafD/leafD2|0", "metro4/pop1/core/core|metro5/pop1/leafB/leafB4|0", "metro4/pop2/core/core|metro5/pop2/leafB/leafB2|0", - "metro3/pop1/core/core|metro5/pop1/leafB/leafB1|0", - "metro4/pop1/core/core|metro5/pop1/leafA/leafA4|0", - "metro3/pop2/core/core|metro5/pop2/leafC/leafC4|0", - "metro3/pop1/core/core|metro4/pop1/core/core|0", + "metro3/pop1/core/core|metro5/pop1/leafD/leafD2|0", + "metro3/pop1/core/core|metro5/pop1/leafC/leafC2|0", + "metro4/pop1/core/core|metro5/pop1/leafC/leafC2|0", + "metro3/pop2/core/core|metro5/pop2/leafB/leafB1|0", + "metro3/pop2/core/core|metro5/pop2/leafD/leafD3|0", + "metro3/pop1/core/core|metro5/pop1/leafD/leafD1|0", "metro3/pop2/core/core|metro5/pop2/leafD/leafD4|0", - "metro4/pop2/core/core|metro5/pop2/leafB/leafB3|0", - "metro4/pop2/core/core|metro5/pop2/leafC/leafC4|0", - "metro3/pop1/core/core|metro5/pop1/leafA/leafA4|0", - "metro4/pop1/core/core|metro5/pop1/leafB/leafB2|0", - "metro3/pop1/core/core|metro5/pop1/leafB/leafB2|0", - "metro3/pop1/core/core|metro5/pop1/leafB/leafB4|0", - "metro3/pop2/core/core|metro4/pop2/core/core|0", - "metro4/pop1/core/core|metro5/pop1/leafA/leafA3|0", - "metro3/pop2/core/core|metro5/pop2/leafA/leafA2|0", "metro4/pop2/core/core|metro5/pop2/leafD/leafD1|0", "metro3/pop1/core/core|metro5/pop1/leafB/leafB3|0", - "metro4/pop1/core/core|metro5/pop1/leafA/leafA2|0", + "metro4/pop2/core/core|metro5/pop2/leafB/leafB4|0", + "metro4/pop1/core/core|metro5/pop1/leafC/leafC3|0", "metro3/pop2/core/core|metro5/pop2/leafA/leafA1|0", - "metro3/pop1/core/core|metro5/pop1/leafC/leafC4|0", - "metro3/pop1/core/core|metro5/pop1/leafA/leafA1|0", - "metro3/pop1/core/core|metro5/pop1/leafD/leafD2|0", - "metro4/pop2/core/core|metro5/pop2/leafD/leafD4|0", - "metro4/pop1/core/core|metro5/pop1/leafD/leafD1|0", - "metro3/pop2/core/core|metro5/pop2/leafD/leafD2|0", - "metro4/pop1/core/core|metro5/pop1/leafC/leafC2|0", - "metro4/pop2/core/core|metro5/pop2/leafD/leafD3|0", + "metro4/pop2/core/core|metro5/pop2/leafA/leafA4|0", + "metro3/pop1/core/core|metro5/pop1/leafD/leafD3|0", + "metro3/pop2/core/core|metro5/pop2/leafA/leafA4|0", + "metro3/pop1/core/core|metro5/pop1/leafC/leafC1|0", + "metro4/pop2/core/core|metro5/pop2/leafB/leafB1|0", + "metro3/pop1/core/core|metro5/pop1/leafD/leafD4|0", "metro3/pop2/core/core|metro5/pop2/leafB/leafB3|0", - "metro4/pop2/core/core|metro5/pop2/leafA/leafA2|0", - "metro4/pop2/core/core|metro5/pop2/leafA/leafA1|0", - "metro3/pop1/core/core|metro5/pop1/leafC/leafC2|0", - "metro3/pop1/core/core|metro5/pop1/leafC/leafC1|0" + "metro4/pop2/core/core|metro5/pop2/leafC/leafC2|0", + "metro4/pop2/core/core|metro5/pop2/leafC/leafC3|0", + "metro4/pop1/core/core|metro5/pop1/leafC/leafC1|0", + "metro4/pop2/core/core|metro5/pop2/leafD/leafD3|0", + "metro3/pop1/core/core|metro5/pop1/leafA/leafA2|0", + "metro3/pop1/core/core|metro5/pop1/leafB/leafB1|0", + "metro3/pop1/core/core|metro5/pop1/leafB/leafB2|0", + "metro3/pop2/core/core|metro5/pop2/leafB/leafB2|0", + "metro4/pop2/core/core|metro5/pop2/leafD/leafD4|0", + "metro4/pop1/core/core|metro5/pop1/leafD/leafD2|0", + "metro4/pop2/core/core|metro5/pop2/leafB/leafB3|0" ] }, "failure_trace": null, @@ -4995,8 +4995,8 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro5/pop1/leafA/leafA4|metro5/dc1/dc/dc|0", "metro5/pop2/leafC/leafC1|metro5/dc1/dc/dc|0", + "metro5/pop1/leafA/leafA4|metro5/dc1/dc/dc|0", "metro1/pop2/leafB/leafB2|metro1/dc1/dc/dc|0" ] }, @@ -5106,9 +5106,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro2/pop2/leafA/leafA1|metro2/dc1/dc/dc|0", "metro2/pop1/leafC/leafC4|metro2/dc1/dc/dc|0", - "metro1/pop2/leafB/leafB4|metro1/dc1/dc/dc|0" + "metro1/pop2/leafB/leafB4|metro1/dc1/dc/dc|0", + "metro2/pop2/leafA/leafA1|metro2/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -5321,10 +5321,10 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro2/pop2/leafA/leafA1|metro2/pop2/leafB/leafB1|0", + "metro1/pop2/leafA/leafA4|metro1/pop2/leafB/leafB4|0", "metro2/pop1/leafC/leafC3|metro2/pop1/leafC/leafC4|0", - "metro2/pop2/leafD/leafD3|metro2/pop2/leafD/leafD4|0", - "metro1/pop2/leafA/leafA4|metro1/pop2/leafB/leafB4|0" + "metro2/pop2/leafA/leafA1|metro2/pop2/leafB/leafB1|0", + "metro2/pop2/leafD/leafD3|metro2/pop2/leafD/leafD4|0" ] }, "failure_trace": null, @@ -5423,9 +5423,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro5/pop1/leafD/leafD2|metro5/dc1/dc/dc|0", "metro1/pop1/leafD/leafD1|metro1/dc1/dc/dc|0", - "metro1/pop2/leafA/leafA2|metro1/dc1/dc/dc|0" + "metro1/pop2/leafA/leafA2|metro1/dc1/dc/dc|0", + "metro5/pop1/leafD/leafD2|metro5/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -5637,9 +5637,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro2/pop1/leafC/leafC4|metro2/dc1/dc/dc|0", "metro1/pop1/leafA/leafA3|metro1/dc1/dc/dc|0", - "metro2/pop2/leafC/leafC4|metro2/dc1/dc/dc|0" + "metro2/pop2/leafC/leafC4|metro2/dc1/dc/dc|0", + "metro2/pop1/leafC/leafC4|metro2/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -5852,8 +5852,8 @@ "excluded_nodes": [], "excluded_links": [ "metro1/pop1/leafA/leafA4|metro1/dc1/dc/dc|0", - "metro5/pop1/leafD/leafD3|metro5/dc1/dc/dc|0", - "metro1/pop1/leafD/leafD2|metro1/dc1/dc/dc|0" + "metro1/pop1/leafD/leafD2|metro1/dc1/dc/dc|0", + "metro5/pop1/leafD/leafD3|metro5/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -5958,9 +5958,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro2/pop1/leafC/leafC1|metro2/dc1/dc/dc|0", "metro1/pop1/leafA/leafA2|metro1/dc1/dc/dc|0", - "metro1/pop1/leafB/leafB2|metro1/dc1/dc/dc|0" + "metro1/pop1/leafB/leafB2|metro1/dc1/dc/dc|0", + "metro2/pop1/leafC/leafC1|metro2/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -6065,9 +6065,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro1/pop2/leafD/leafD1|metro1/dc1/dc/dc|0", "metro5/pop1/leafC/leafC3|metro5/dc1/dc/dc|0", - "metro1/pop1/leafC/leafC4|metro1/dc1/dc/dc|0" + "metro1/pop1/leafC/leafC4|metro1/dc1/dc/dc|0", + "metro1/pop2/leafD/leafD1|metro1/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -6279,70 +6279,70 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro1/pop1/leafD/leafD3|metro5/pop1/leafD/leafD3|0", + "metro1/pop2/leafA/leafA2|metro5/pop2/leafA/leafA2|0", + "metro1/pop2/leafA/leafA2|metro2/pop2/leafA/leafA2|0", "metro1/pop1/leafA/leafA4|metro2/pop1/leafA/leafA4|0", "metro1/pop2/leafD/leafD4|metro2/pop2/leafD/leafD4|0", - "metro1/pop2/leafA/leafA4|metro2/pop2/leafA/leafA4|0", - "metro1/pop2/leafC/leafC1|metro5/pop2/leafC/leafC1|0", - "metro1/pop1/leafB/leafB2|metro2/pop1/leafB/leafB2|0", - "metro1/pop2/leafB/leafB2|metro5/pop2/leafB/leafB2|0", + "metro1/pop2/leafC/leafC2|metro5/pop2/leafC/leafC2|0", + "metro1/pop2/leafC/leafC3|metro5/pop2/leafC/leafC3|0", + "metro1/pop2/leafD/leafD3|metro2/pop2/leafD/leafD3|0", + "metro1/pop1/leafC/leafC4|metro5/pop1/leafC/leafC4|0", "metro1/pop1/leafC/leafC4|metro2/pop1/leafC/leafC4|0", - "metro1/pop2/leafB/leafB4|metro2/pop2/leafB/leafB4|0", - "metro1/pop1/leafA/leafA3|metro5/pop1/leafA/leafA3|0", + "metro1/pop1/leafC/leafC3|metro2/pop1/leafC/leafC3|0", "metro1/pop2/leafC/leafC1|metro2/pop2/leafC/leafC1|0", - "metro1/pop2/leafC/leafC2|metro5/pop2/leafC/leafC2|0", - "metro1/pop2/leafD/leafD1|metro5/pop2/leafD/leafD1|0", - "metro1/pop1/leafD/leafD3|metro2/pop1/leafD/leafD3|0", - "metro1/pop1/leafA/leafA2|metro2/pop1/leafA/leafA2|0", - "metro1/pop2/leafB/leafB1|metro5/pop2/leafB/leafB1|0", + "metro1/pop2/leafD/leafD1|metro2/pop2/leafD/leafD1|0", + "metro1/pop1/leafB/leafB1|metro5/pop1/leafB/leafB1|0", "metro1/pop1/leafC/leafC2|metro2/pop1/leafC/leafC2|0", - "metro1/pop2/leafB/leafB1|metro2/pop2/leafB/leafB1|0", + "metro1/pop1/leafC/leafC2|metro5/pop1/leafC/leafC2|0", + "metro1/pop2/leafA/leafA1|metro5/pop2/leafA/leafA1|0", + "metro1/pop2/leafB/leafB1|metro5/pop2/leafB/leafB1|0", + "metro1/pop1/leafA/leafA2|metro5/pop1/leafA/leafA2|0", "metro1/pop2/leafC/leafC3|metro2/pop2/leafC/leafC3|0", - "metro1/pop1/leafB/leafB3|metro5/pop1/leafB/leafB3|0", - "metro1/pop1/leafB/leafB4|metro2/pop1/leafB/leafB4|0", - "metro1/pop1/leafD/leafD4|metro2/pop1/leafD/leafD4|0", + "metro1/pop2/leafD/leafD2|metro2/pop2/leafD/leafD2|0", + "metro1/pop2/leafA/leafA3|metro5/pop2/leafA/leafA3|0", + "metro1/pop2/leafA/leafA4|metro2/pop2/leafA/leafA4|0", + "metro1/pop1/leafB/leafB2|metro5/pop1/leafB/leafB2|0", + "metro1/pop1/leafA/leafA2|metro2/pop1/leafA/leafA2|0", + "metro1/pop2/leafD/leafD3|metro5/pop2/leafD/leafD3|0", "metro1/pop2/leafC/leafC4|metro2/pop2/leafC/leafC4|0", + "metro1/pop1/leafA/leafA3|metro5/pop1/leafA/leafA3|0", + "metro1/pop2/leafB/leafB2|metro2/pop2/leafB/leafB2|0", + "metro1/pop1/leafD/leafD3|metro2/pop1/leafD/leafD3|0", + "metro1/pop1/leafA/leafA3|metro2/pop1/leafA/leafA3|0", + "metro1/pop1/leafA/leafA1|metro5/pop1/leafA/leafA1|0", + "metro1/pop2/leafB/leafB1|metro2/pop2/leafB/leafB1|0", "metro1/pop1/leafD/leafD1|metro5/pop1/leafD/leafD1|0", - "metro1/pop2/leafD/leafD3|metro5/pop2/leafD/leafD3|0", - "metro1/pop2/leafB/leafB3|metro2/pop2/leafB/leafB3|0", - "metro1/pop1/leafC/leafC3|metro2/pop1/leafC/leafC3|0", - "metro1/pop1/leafC/leafC2|metro5/pop1/leafC/leafC2|0", + "metro1/pop1/leafB/leafB3|metro2/pop1/leafB/leafB3|0", "metro1/pop1/leafC/leafC1|metro2/pop1/leafC/leafC1|0", - "metro1/pop2/leafA/leafA1|metro2/pop2/leafA/leafA1|0", - "metro1/pop2/leafA/leafA3|metro5/pop2/leafA/leafA3|0", "metro1/pop1/leafA/leafA1|metro2/pop1/leafA/leafA1|0", - "metro1/pop1/leafB/leafB1|metro2/pop1/leafB/leafB1|0", - "metro1/pop2/leafD/leafD2|metro2/pop2/leafD/leafD2|0", - "metro1/pop1/leafA/leafA4|metro5/pop1/leafA/leafA4|0", - "metro1/pop2/leafA/leafA1|metro5/pop2/leafA/leafA1|0", - "metro1/pop1/leafB/leafB4|metro5/pop1/leafB/leafB4|0", - "metro1/pop1/leafA/leafA2|metro5/pop1/leafA/leafA2|0", - "metro1/pop1/leafB/leafB1|metro5/pop1/leafB/leafB1|0", - "metro1/pop2/leafA/leafA3|metro2/pop2/leafA/leafA3|0", - "metro1/pop1/leafB/leafB2|metro5/pop1/leafB/leafB2|0", "metro1/pop1/leafC/leafC1|metro5/pop1/leafC/leafC1|0", - "metro1/pop1/leafD/leafD4|metro5/pop1/leafD/leafD4|0", - "metro1/pop1/leafD/leafD2|metro2/pop1/leafD/leafD2|0", + "metro1/pop2/leafA/leafA4|metro5/pop2/leafA/leafA4|0", + "metro1/pop1/leafD/leafD3|metro5/pop1/leafD/leafD3|0", + "metro1/pop1/leafA/leafA4|metro5/pop1/leafA/leafA4|0", + "metro1/pop2/leafD/leafD1|metro5/pop2/leafD/leafD1|0", + "metro1/pop2/leafB/leafB3|metro5/pop2/leafB/leafB3|0", + "metro1/pop2/leafC/leafC1|metro5/pop2/leafC/leafC1|0", + "metro1/pop2/leafC/leafC4|metro5/pop2/leafC/leafC4|0", "metro1/pop2/leafB/leafB4|metro5/pop2/leafB/leafB4|0", - "metro1/pop2/leafA/leafA2|metro2/pop2/leafA/leafA2|0", - "metro1/pop2/leafD/leafD4|metro5/pop2/leafD/leafD4|0", "metro1/pop1/leafD/leafD2|metro5/pop1/leafD/leafD2|0", - "metro1/pop1/leafA/leafA3|metro2/pop1/leafA/leafA3|0", - "metro1/pop1/leafA/leafA1|metro5/pop1/leafA/leafA1|0", - "metro1/pop2/leafD/leafD3|metro2/pop2/leafD/leafD3|0", + "metro1/pop1/leafB/leafB4|metro2/pop1/leafB/leafB4|0", + "metro1/pop1/leafC/leafC3|metro5/pop1/leafC/leafC3|0", + "metro1/pop1/leafB/leafB4|metro5/pop1/leafB/leafB4|0", + "metro1/pop2/leafB/leafB2|metro5/pop2/leafB/leafB2|0", "metro1/pop2/leafD/leafD2|metro5/pop2/leafD/leafD2|0", - "metro1/pop1/leafD/leafD1|metro2/pop1/leafD/leafD1|0", + "metro1/pop1/leafD/leafD4|metro5/pop1/leafD/leafD4|0", + "metro1/pop2/leafB/leafB3|metro2/pop2/leafB/leafB3|0", + "metro1/pop2/leafB/leafB4|metro2/pop2/leafB/leafB4|0", + "metro1/pop2/leafD/leafD4|metro5/pop2/leafD/leafD4|0", + "metro1/pop1/leafD/leafD4|metro2/pop1/leafD/leafD4|0", + "metro1/pop2/leafA/leafA1|metro2/pop2/leafA/leafA1|0", + "metro1/pop1/leafB/leafB1|metro2/pop1/leafB/leafB1|0", + "metro1/pop1/leafD/leafD2|metro2/pop1/leafD/leafD2|0", + "metro1/pop1/leafB/leafB2|metro2/pop1/leafB/leafB2|0", "metro1/pop2/leafC/leafC2|metro2/pop2/leafC/leafC2|0", - "metro1/pop2/leafA/leafA2|metro5/pop2/leafA/leafA2|0", - "metro1/pop1/leafC/leafC4|metro5/pop1/leafC/leafC4|0", - "metro1/pop2/leafC/leafC4|metro5/pop2/leafC/leafC4|0", - "metro1/pop2/leafB/leafB3|metro5/pop2/leafB/leafB3|0", - "metro1/pop1/leafC/leafC3|metro5/pop1/leafC/leafC3|0", - "metro1/pop2/leafB/leafB2|metro2/pop2/leafB/leafB2|0", - "metro1/pop1/leafB/leafB3|metro2/pop1/leafB/leafB3|0", - "metro1/pop2/leafC/leafC3|metro5/pop2/leafC/leafC3|0", - "metro1/pop2/leafA/leafA4|metro5/pop2/leafA/leafA4|0", - "metro1/pop2/leafD/leafD1|metro2/pop2/leafD/leafD1|0" + "metro1/pop2/leafA/leafA3|metro2/pop2/leafA/leafA3|0", + "metro1/pop1/leafD/leafD1|metro2/pop1/leafD/leafD1|0", + "metro1/pop1/leafB/leafB3|metro5/pop1/leafB/leafB3|0" ] }, "failure_trace": null, @@ -6429,9 +6429,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro1/pop1/leafD/leafD4|metro1/dc1/dc/dc|0", "metro2/pop1/leafA/leafA3|metro2/dc1/dc/dc|0", - "metro2/pop1/leafC/leafC4|metro2/dc1/dc/dc|0" + "metro2/pop1/leafC/leafC4|metro2/dc1/dc/dc|0", + "metro1/pop1/leafD/leafD4|metro1/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -6537,9 +6537,9 @@ "excluded_nodes": [], "excluded_links": [ "metro1/pop2/leafA/leafA1|metro1/pop2/leafA/leafA2|0", + "metro2/pop2/leafA/leafA2|metro2/pop2/leafD/leafD2|0", "metro2/pop2/leafA/leafA1|metro2/pop2/leafA/leafA3|0", - "metro1/pop1/leafD/leafD3|metro1/pop1/leafD/leafD4|0", - "metro2/pop2/leafA/leafA2|metro2/pop2/leafD/leafD2|0" + "metro1/pop1/leafD/leafD3|metro1/pop1/leafD/leafD4|0" ] }, "failure_trace": null, @@ -6747,9 +6747,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro1/pop1/leafD/leafD4|metro1/dc1/dc/dc|0", "metro2/pop1/leafC/leafC2|metro2/dc1/dc/dc|0", - "metro5/pop2/leafC/leafC3|metro5/dc1/dc/dc|0" + "metro5/pop2/leafC/leafC3|metro5/dc1/dc/dc|0", + "metro1/pop1/leafD/leafD4|metro1/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -6859,8 +6859,8 @@ "excluded_nodes": [], "excluded_links": [ "metro2/pop2/leafA/leafA2|metro2/dc1/dc/dc|0", - "metro1/pop1/leafC/leafC2|metro1/dc1/dc/dc|0", - "metro5/pop2/leafC/leafC2|metro5/dc1/dc/dc|0" + "metro5/pop2/leafC/leafC2|metro5/dc1/dc/dc|0", + "metro1/pop1/leafC/leafC2|metro1/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -6970,8 +6970,8 @@ "excluded_nodes": [], "excluded_links": [ "metro5/pop1/leafD/leafD1|metro5/dc1/dc/dc|0", - "metro2/pop2/leafC/leafC2|metro2/dc1/dc/dc|0", - "metro5/pop2/leafD/leafD1|metro5/dc1/dc/dc|0" + "metro5/pop2/leafD/leafD1|metro5/dc1/dc/dc|0", + "metro2/pop2/leafC/leafC2|metro2/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -7183,9 +7183,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro1/pop2/leafD/leafD1|metro1/dc1/dc/dc|0", + "metro2/pop2/leafA/leafA1|metro2/dc1/dc/dc|0", "metro2/pop1/leafB/leafB1|metro2/dc1/dc/dc|0", - "metro2/pop2/leafA/leafA1|metro2/dc1/dc/dc|0" + "metro1/pop2/leafD/leafD1|metro1/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -7295,9 +7295,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro5/pop1/leafA/leafA1|metro5/dc1/dc/dc|0", "metro2/pop2/leafB/leafB3|metro2/dc1/dc/dc|0", - "metro5/pop1/leafC/leafC4|metro5/dc1/dc/dc|0" + "metro5/pop1/leafC/leafC4|metro5/dc1/dc/dc|0", + "metro5/pop1/leafA/leafA1|metro5/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -7404,9 +7404,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro2/pop1/leafC/leafC1|metro2/dc1/dc/dc|0", "metro5/pop2/leafD/leafD4|metro5/dc1/dc/dc|0", - "metro2/pop2/leafA/leafA4|metro2/dc1/dc/dc|0" + "metro2/pop2/leafA/leafA4|metro2/dc1/dc/dc|0", + "metro2/pop1/leafC/leafC1|metro2/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -7515,9 +7515,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro5/pop2/leafB/leafB3|metro5/dc1/dc/dc|0", + "metro1/pop1/leafB/leafB2|metro1/dc1/dc/dc|0", "metro2/pop2/leafA/leafA3|metro2/dc1/dc/dc|0", - "metro1/pop1/leafB/leafB2|metro1/dc1/dc/dc|0" + "metro5/pop2/leafB/leafB3|metro5/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -7626,9 +7626,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ + "metro1/pop2/leafB/leafB1|metro1/dc1/dc/dc|0", "metro5/pop1/leafD/leafD3|metro5/dc1/dc/dc|0", - "metro5/pop1/leafC/leafC4|metro5/dc1/dc/dc|0", - "metro1/pop2/leafB/leafB1|metro1/dc1/dc/dc|0" + "metro5/pop1/leafC/leafC4|metro5/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -7846,9 +7846,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro5/pop1/leafA/leafA2|metro5/dc1/dc/dc|0", "metro2/pop2/leafA/leafA2|metro2/dc1/dc/dc|0", - "metro5/pop1/leafC/leafC2|metro5/dc1/dc/dc|0" + "metro5/pop1/leafC/leafC2|metro5/dc1/dc/dc|0", + "metro5/pop1/leafA/leafA2|metro5/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -8059,8 +8059,8 @@ "excluded_nodes": [], "excluded_links": [ "metro5/pop1/leafC/leafC1|metro5/dc1/dc/dc|0", - "metro1/pop2/leafA/leafA4|metro1/dc1/dc/dc|0", - "metro5/pop2/leafC/leafC3|metro5/dc1/dc/dc|0" + "metro5/pop2/leafC/leafC3|metro5/dc1/dc/dc|0", + "metro1/pop2/leafA/leafA4|metro1/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -8268,8 +8268,8 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro2/pop1/leafC/leafC2|metro2/dc1/dc/dc|0", "metro2/pop2/leafA/leafA2|metro2/dc1/dc/dc|0", + "metro2/pop1/leafC/leafC2|metro2/dc1/dc/dc|0", "metro1/pop1/leafD/leafD3|metro1/dc1/dc/dc|0" ] }, @@ -8797,9 +8797,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro5/pop1/leafA/leafA1|metro5/dc1/dc/dc|0", + "metro1/pop1/leafC/leafC3|metro1/dc1/dc/dc|0", "metro5/pop1/leafD/leafD1|metro5/dc1/dc/dc|0", - "metro1/pop1/leafC/leafC3|metro1/dc1/dc/dc|0" + "metro5/pop1/leafA/leafA1|metro5/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -9008,8 +9008,8 @@ "excluded_nodes": [], "excluded_links": [ "metro2/pop1/leafD/leafD1|metro2/dc1/dc/dc|0", - "metro5/pop1/leafC/leafC1|metro5/dc1/dc/dc|0", - "metro5/pop1/leafD/leafD2|metro5/dc1/dc/dc|0" + "metro5/pop1/leafD/leafD2|metro5/dc1/dc/dc|0", + "metro5/pop1/leafC/leafC1|metro5/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -9114,9 +9114,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro5/pop2/leafB/leafB3|metro5/dc1/dc/dc|0", "metro1/pop2/leafA/leafA3|metro1/dc1/dc/dc|0", - "metro2/pop2/leafA/leafA4|metro2/dc1/dc/dc|0" + "metro2/pop2/leafA/leafA4|metro2/dc1/dc/dc|0", + "metro5/pop2/leafB/leafB3|metro5/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -9223,8 +9223,8 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro2/pop1/leafA/leafA3|metro2/dc1/dc/dc|0", "metro1/pop2/leafC/leafC2|metro1/dc1/dc/dc|0", + "metro2/pop1/leafA/leafA3|metro2/dc1/dc/dc|0", "metro2/pop1/leafC/leafC4|metro2/dc1/dc/dc|0" ] }, @@ -9333,9 +9333,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro5/pop2/leafB/leafB1|metro5/dc1/dc/dc|0", "metro2/pop1/leafB/leafB4|metro2/dc1/dc/dc|0", - "metro5/pop2/leafD/leafD3|metro5/dc1/dc/dc|0" + "metro5/pop2/leafD/leafD3|metro5/dc1/dc/dc|0", + "metro5/pop2/leafB/leafB1|metro5/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -9443,8 +9443,8 @@ "excluded_nodes": [], "excluded_links": [ "metro2/pop2/leafD/leafD2|metro2/dc1/dc/dc|0", - "metro1/pop1/leafA/leafA2|metro1/dc1/dc/dc|0", - "metro5/pop2/leafC/leafC2|metro5/dc1/dc/dc|0" + "metro5/pop2/leafC/leafC2|metro5/dc1/dc/dc|0", + "metro1/pop1/leafA/leafA2|metro1/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -9657,8 +9657,8 @@ "excluded_nodes": [], "excluded_links": [ "metro2/pop2/leafB/leafB1|metro2/dc1/dc/dc|0", - "metro2/pop1/leafA/leafA1|metro2/dc1/dc/dc|0", - "metro2/pop2/leafD/leafD2|metro2/dc1/dc/dc|0" + "metro2/pop2/leafD/leafD2|metro2/dc1/dc/dc|0", + "metro2/pop1/leafA/leafA1|metro2/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -9970,10 +9970,10 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro1/pop1/leafB/leafB3|metro1/pop1/leafC/leafC3|0", "metro1/pop2/leafA/leafA3|metro1/pop2/leafB/leafB3|0", - "metro1/pop2/leafC/leafC2|metro1/pop2/leafD/leafD2|0", - "metro2/pop1/leafC/leafC2|metro2/pop1/leafD/leafD2|0" + "metro2/pop1/leafC/leafC2|metro2/pop1/leafD/leafD2|0", + "metro1/pop1/leafB/leafB3|metro1/pop1/leafC/leafC3|0", + "metro1/pop2/leafC/leafC2|metro1/pop2/leafD/leafD2|0" ] }, "failure_trace": null, @@ -10072,10 +10072,10 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro5/pop1/leafB/leafB2|metro5/pop1/leafC/leafC2|0", + "metro2/pop1/leafC/leafC1|metro2/pop1/leafC/leafC2|0", "metro1/pop2/leafD/leafD2|metro1/pop2/leafD/leafD4|0", "metro1/pop2/leafA/leafA2|metro1/pop2/leafA/leafA4|0", - "metro2/pop1/leafC/leafC1|metro2/pop1/leafC/leafC2|0" + "metro5/pop1/leafB/leafB2|metro5/pop1/leafC/leafC2|0" ] }, "failure_trace": null, @@ -10174,10 +10174,10 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro1/pop2/leafC/leafC3|metro1/pop2/leafD/leafD3|0", - "metro2/pop2/leafD/leafD1|metro2/pop2/leafD/leafD4|0", "metro5/pop2/leafC/leafC3|metro5/pop2/leafC/leafC4|0", - "metro2/pop1/leafA/leafA2|metro2/pop1/leafA/leafA3|0" + "metro2/pop1/leafA/leafA2|metro2/pop1/leafA/leafA3|0", + "metro2/pop2/leafD/leafD1|metro2/pop2/leafD/leafD4|0", + "metro1/pop2/leafC/leafC3|metro1/pop2/leafD/leafD3|0" ] }, "failure_trace": null, @@ -10276,9 +10276,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro1/pop1/leafC/leafC1|metro1/dc1/dc/dc|0", "metro1/pop1/leafA/leafA4|metro1/dc1/dc/dc|0", - "metro5/pop2/leafA/leafA2|metro5/dc1/dc/dc|0" + "metro5/pop2/leafA/leafA2|metro5/dc1/dc/dc|0", + "metro1/pop1/leafC/leafC1|metro1/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -10385,9 +10385,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro1/pop2/leafB/leafB3|metro1/dc1/dc/dc|0", + "metro1/pop1/leafA/leafA3|metro1/dc1/dc/dc|0", "metro5/pop1/leafC/leafC3|metro5/dc1/dc/dc|0", - "metro1/pop1/leafA/leafA3|metro1/dc1/dc/dc|0" + "metro1/pop2/leafB/leafB3|metro1/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -10497,9 +10497,9 @@ "excluded_nodes": [], "excluded_links": [ "metro1/pop1/leafD/leafD2|metro1/pop1/leafD/leafD4|0", - "metro2/pop1/leafD/leafD3|metro2/pop1/leafD/leafD4|0", "metro2/pop2/leafC/leafC1|metro2/pop2/leafC/leafC3|0", - "metro2/pop2/leafC/leafC1|metro2/pop2/leafD/leafD1|0" + "metro2/pop2/leafC/leafC1|metro2/pop2/leafD/leafD1|0", + "metro2/pop1/leafD/leafD3|metro2/pop1/leafD/leafD4|0" ] }, "failure_trace": null, @@ -10701,10 +10701,10 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro5/pop2/leafB/leafB1|metro5/pop2/leafB/leafB4|0", - "metro2/pop1/leafC/leafC2|metro2/pop1/leafC/leafC4|0", + "metro2/pop2/leafA/leafA4|metro2/pop2/leafD/leafD4|0", "metro5/pop1/leafA/leafA2|metro5/pop1/leafD/leafD2|0", - "metro2/pop2/leafA/leafA4|metro2/pop2/leafD/leafD4|0" + "metro5/pop2/leafB/leafB1|metro5/pop2/leafB/leafB4|0", + "metro2/pop1/leafC/leafC2|metro2/pop1/leafC/leafC4|0" ] }, "failure_trace": null, @@ -10803,8 +10803,8 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro2/pop1/leafC/leafC1|metro2/dc1/dc/dc|0", "metro2/pop1/leafD/leafD3|metro2/dc1/dc/dc|0", + "metro2/pop1/leafC/leafC1|metro2/dc1/dc/dc|0", "metro5/pop2/leafB/leafB1|metro5/dc1/dc/dc|0" ] }, @@ -11016,8 +11016,8 @@ "excluded_nodes": [], "excluded_links": [ "metro5/pop2/leafC/leafC4|metro5/dc1/dc/dc|0", - "metro2/pop2/leafC/leafC2|metro2/dc1/dc/dc|0", - "metro1/pop1/leafC/leafC4|metro1/dc1/dc/dc|0" + "metro1/pop1/leafC/leafC4|metro1/dc1/dc/dc|0", + "metro2/pop2/leafC/leafC2|metro2/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -11126,9 +11126,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro5/pop2/leafD/leafD2|metro5/dc1/dc/dc|0", + "metro1/pop1/leafA/leafA3|metro1/dc1/dc/dc|0", "metro5/pop1/leafC/leafC3|metro5/dc1/dc/dc|0", - "metro1/pop1/leafA/leafA3|metro1/dc1/dc/dc|0" + "metro5/pop2/leafD/leafD2|metro5/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -11340,8 +11340,8 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro2/pop2/leafA/leafA3|metro2/dc1/dc/dc|0", "metro5/pop2/leafA/leafA2|metro5/dc1/dc/dc|0", + "metro2/pop2/leafA/leafA3|metro2/dc1/dc/dc|0", "metro1/pop2/leafC/leafC1|metro1/dc1/dc/dc|0" ] }, @@ -11449,8 +11449,8 @@ "excluded_nodes": [], "excluded_links": [ "metro2/pop1/leafD/leafD3|metro2/dc1/dc/dc|0", - "metro2/pop1/leafA/leafA1|metro2/dc1/dc/dc|0", - "metro1/pop2/leafA/leafA1|metro1/dc1/dc/dc|0" + "metro1/pop2/leafA/leafA1|metro1/dc1/dc/dc|0", + "metro2/pop1/leafA/leafA1|metro2/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -11558,10 +11558,10 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro1/pop1/leafB/leafB3|metro1/pop1/leafB/leafB4|0", - "metro5/pop1/leafC/leafC1|metro5/pop1/leafD/leafD1|0", + "metro2/pop1/leafA/leafA2|metro2/pop1/leafB/leafB2|0", "metro2/pop1/leafC/leafC2|metro2/pop1/leafD/leafD2|0", - "metro2/pop1/leafA/leafA2|metro2/pop1/leafB/leafB2|0" + "metro5/pop1/leafC/leafC1|metro5/pop1/leafD/leafD1|0", + "metro1/pop1/leafB/leafB3|metro1/pop1/leafB/leafB4|0" ] }, "failure_trace": null, @@ -11660,9 +11660,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro2/pop1/leafA/leafA1|metro2/dc1/dc/dc|0", "metro2/pop2/leafD/leafD2|metro2/dc1/dc/dc|0", - "metro2/pop1/leafB/leafB3|metro2/dc1/dc/dc|0" + "metro2/pop1/leafB/leafB3|metro2/dc1/dc/dc|0", + "metro2/pop1/leafA/leafA1|metro2/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -11769,8 +11769,8 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro5/pop1/leafC/leafC3|metro5/dc1/dc/dc|0", "metro5/pop2/leafD/leafD4|metro5/dc1/dc/dc|0", + "metro5/pop1/leafC/leafC3|metro5/dc1/dc/dc|0", "metro1/pop1/leafA/leafA2|metro1/dc1/dc/dc|0" ] }, @@ -11880,8 +11880,8 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro5/pop1/leafA/leafA4|metro5/dc1/dc/dc|0", "metro1/pop1/leafD/leafD3|metro1/dc1/dc/dc|0", + "metro5/pop1/leafA/leafA4|metro5/dc1/dc/dc|0", "metro1/pop2/leafD/leafD2|metro1/dc1/dc/dc|0" ] }, @@ -11991,8 +11991,8 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro2/pop2/leafB/leafB1|metro2/dc1/dc/dc|0", "metro5/pop1/leafD/leafD3|metro5/dc1/dc/dc|0", + "metro2/pop2/leafB/leafB1|metro2/dc1/dc/dc|0", "metro1/pop2/leafB/leafB4|metro1/dc1/dc/dc|0" ] }, @@ -12102,9 +12102,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ + "metro1/pop2/leafA/leafA1|metro1/dc1/dc/dc|0", "metro1/pop1/leafB/leafB4|metro1/dc1/dc/dc|0", - "metro5/pop1/leafC/leafC2|metro5/dc1/dc/dc|0", - "metro1/pop2/leafA/leafA1|metro1/dc1/dc/dc|0" + "metro5/pop1/leafC/leafC2|metro5/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -12419,10 +12419,10 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro5/pop2/leafB/leafB1|metro5/pop2/leafB/leafB4|0", - "metro5/pop2/leafB/leafB3|metro5/pop2/leafC/leafC3|0", + "metro2/pop2/leafA/leafA4|metro2/pop2/leafD/leafD4|0", "metro1/pop1/leafC/leafC1|metro1/pop1/leafC/leafC2|0", - "metro2/pop2/leafA/leafA4|metro2/pop2/leafD/leafD4|0" + "metro5/pop2/leafB/leafB1|metro5/pop2/leafB/leafB4|0", + "metro5/pop2/leafB/leafB3|metro5/pop2/leafC/leafC3|0" ] }, "failure_trace": null, @@ -12521,8 +12521,8 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro5/pop2/leafB/leafB3|metro5/dc1/dc/dc|0", "metro2/pop1/leafA/leafA1|metro2/dc1/dc/dc|0", + "metro5/pop2/leafB/leafB3|metro5/dc1/dc/dc|0", "metro1/pop1/leafB/leafB4|metro1/dc1/dc/dc|0" ] }, @@ -12632,8 +12632,8 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro1/pop1/leafB/leafB4|metro1/dc1/dc/dc|0", "metro2/pop2/leafB/leafB4|metro2/dc1/dc/dc|0", + "metro1/pop1/leafB/leafB4|metro1/dc1/dc/dc|0", "metro5/pop2/leafD/leafD1|metro5/dc1/dc/dc|0" ] }, @@ -12743,9 +12743,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ + "metro5/pop2/leafD/leafD3|metro5/dc1/dc/dc|0", "metro1/pop1/leafB/leafB4|metro1/dc1/dc/dc|0", - "metro2/pop1/leafC/leafC2|metro2/dc1/dc/dc|0", - "metro5/pop2/leafD/leafD3|metro5/dc1/dc/dc|0" + "metro2/pop1/leafC/leafC2|metro2/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -12957,8 +12957,8 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro1/pop2/leafC/leafC4|metro1/dc1/dc/dc|0", "metro2/pop2/leafD/leafD3|metro2/dc1/dc/dc|0", + "metro1/pop2/leafC/leafC4|metro1/dc1/dc/dc|0", "metro1/pop1/leafD/leafD3|metro1/dc1/dc/dc|0" ] }, @@ -13377,10 +13377,10 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ + "metro1/pop2/leafB/leafB1|metro1/pop2/leafB/leafB3|0", "metro5/pop1/leafC/leafC4|metro5/pop1/leafD/leafD4|0", "metro5/pop2/leafA/leafA2|metro5/pop2/leafA/leafA4|0", - "metro1/pop2/leafC/leafC3|metro1/pop2/leafD/leafD3|0", - "metro1/pop2/leafB/leafB1|metro1/pop2/leafB/leafB3|0" + "metro1/pop2/leafC/leafC3|metro1/pop2/leafD/leafD3|0" ] }, "failure_trace": null, @@ -13796,8 +13796,8 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro1/pop1/leafD/leafD4|metro1/dc1/dc/dc|0", "metro2/pop2/leafD/leafD4|metro2/dc1/dc/dc|0", + "metro1/pop1/leafD/leafD4|metro1/dc1/dc/dc|0", "metro5/pop1/leafB/leafB2|metro5/dc1/dc/dc|0" ] }, @@ -14014,10 +14014,10 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro5/pop1/leafB/leafB3|metro5/pop1/leafB/leafB4|0", - "metro5/pop1/leafB/leafB1|metro5/pop1/leafC/leafC1|0", + "metro1/pop1/leafA/leafA3|metro1/pop1/leafA/leafA4|0", "metro2/pop1/leafC/leafC2|metro2/pop1/leafC/leafC3|0", - "metro1/pop1/leafA/leafA3|metro1/pop1/leafA/leafA4|0" + "metro5/pop1/leafB/leafB1|metro5/pop1/leafC/leafC1|0", + "metro5/pop1/leafB/leafB3|metro5/pop1/leafB/leafB4|0" ] }, "failure_trace": null, @@ -14219,9 +14219,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ + "metro1/pop2/leafA/leafA1|metro1/dc1/dc/dc|0", "metro5/pop1/leafA/leafA3|metro5/dc1/dc/dc|0", - "metro5/pop2/leafD/leafD4|metro5/dc1/dc/dc|0", - "metro1/pop2/leafA/leafA1|metro1/dc1/dc/dc|0" + "metro5/pop2/leafD/leafD4|metro5/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -14330,10 +14330,10 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ + "metro2/pop1/leafA/leafA1|metro2/pop1/leafA/leafA4|0", "metro2/pop2/leafB/leafB2|metro2/pop2/leafB/leafB3|0", - "metro5/pop1/leafC/leafC3|metro5/pop1/leafC/leafC4|0", "metro1/pop2/leafB/leafB4|metro1/pop2/leafC/leafC4|0", - "metro2/pop1/leafA/leafA1|metro2/pop1/leafA/leafA4|0" + "metro5/pop1/leafC/leafC3|metro5/pop1/leafC/leafC4|0" ] }, "failure_trace": null, @@ -14638,9 +14638,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ + "metro5/pop1/leafB/leafB3|metro5/dc1/dc/dc|0", "metro5/pop1/leafB/leafB4|metro5/dc1/dc/dc|0", - "metro1/pop1/leafD/leafD3|metro1/dc1/dc/dc|0", - "metro5/pop1/leafB/leafB3|metro5/dc1/dc/dc|0" + "metro1/pop1/leafD/leafD3|metro1/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -14745,9 +14745,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro1/pop1/leafB/leafB4|metro1/dc1/dc/dc|0", + "metro5/pop1/leafD/leafD2|metro5/dc1/dc/dc|0", "metro1/pop2/leafB/leafB3|metro1/dc1/dc/dc|0", - "metro5/pop1/leafD/leafD2|metro5/dc1/dc/dc|0" + "metro1/pop1/leafB/leafB4|metro1/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -14856,9 +14856,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ + "metro1/pop1/leafD/leafD2|metro1/dc1/dc/dc|0", "metro1/pop1/leafC/leafC4|metro1/dc1/dc/dc|0", - "metro2/pop1/leafA/leafA4|metro2/dc1/dc/dc|0", - "metro1/pop1/leafD/leafD2|metro1/dc1/dc/dc|0" + "metro2/pop1/leafA/leafA4|metro2/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -14963,9 +14963,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro5/pop2/leafB/leafB1|metro5/dc1/dc/dc|0", + "metro5/pop1/leafB/leafB2|metro5/dc1/dc/dc|0", "metro1/pop2/leafC/leafC1|metro1/dc1/dc/dc|0", - "metro5/pop1/leafB/leafB2|metro5/dc1/dc/dc|0" + "metro5/pop2/leafB/leafB1|metro5/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -15183,9 +15183,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ + "metro1/pop1/leafC/leafC3|metro1/dc1/dc/dc|0", "metro5/pop1/leafD/leafD2|metro5/dc1/dc/dc|0", - "metro2/pop1/leafB/leafB4|metro2/dc1/dc/dc|0", - "metro1/pop1/leafC/leafC3|metro1/dc1/dc/dc|0" + "metro2/pop1/leafB/leafB4|metro2/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -15291,8 +15291,8 @@ "excluded_nodes": [], "excluded_links": [ "metro2/pop2/leafB/leafB1|metro2/dc1/dc/dc|0", - "metro2/pop1/leafA/leafA4|metro2/dc1/dc/dc|0", - "metro5/pop2/leafD/leafD1|metro5/dc1/dc/dc|0" + "metro5/pop2/leafD/leafD1|metro5/dc1/dc/dc|0", + "metro2/pop1/leafA/leafA4|metro2/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -15609,8 +15609,8 @@ "excluded_links": [ "metro2/pop2/leafD/leafD1|metro2/pop2/leafD/leafD2|0", "metro1/pop2/leafB/leafB2|metro1/pop2/leafB/leafB4|0", - "metro2/pop1/leafA/leafA2|metro2/pop1/leafD/leafD2|0", - "metro1/pop1/leafA/leafA2|metro1/pop1/leafA/leafA4|0" + "metro1/pop1/leafA/leafA2|metro1/pop1/leafA/leafA4|0", + "metro2/pop1/leafA/leafA2|metro2/pop1/leafD/leafD2|0" ] }, "failure_trace": null, @@ -15812,10 +15812,10 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro5/pop1/leafD/leafD1|metro5/pop1/leafD/leafD2|0", - "metro1/pop2/leafC/leafC2|metro1/pop2/leafD/leafD2|0", + "metro2/pop2/leafC/leafC2|metro2/pop2/leafD/leafD2|0", "metro1/pop2/leafD/leafD2|metro1/pop2/leafD/leafD4|0", - "metro2/pop2/leafC/leafC2|metro2/pop2/leafD/leafD2|0" + "metro5/pop1/leafD/leafD1|metro5/pop1/leafD/leafD2|0", + "metro1/pop2/leafC/leafC2|metro1/pop2/leafD/leafD2|0" ] }, "failure_trace": null, @@ -15914,8 +15914,8 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro5/pop2/leafB/leafB4|metro5/dc1/dc/dc|0", "metro2/pop2/leafB/leafB4|metro2/dc1/dc/dc|0", + "metro5/pop2/leafB/leafB4|metro5/dc1/dc/dc|0", "metro1/pop1/leafA/leafA2|metro1/dc1/dc/dc|0" ] }, @@ -16334,10 +16334,10 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro1/pop2/leafC/leafC2|metro1/pop2/leafD/leafD2|0", + "metro2/pop2/leafB/leafB3|metro2/pop2/leafB/leafB4|0", "metro1/pop2/leafA/leafA3|metro1/pop2/leafB/leafB3|0", - "metro1/pop1/leafB/leafB1|metro1/pop1/leafB/leafB4|0", - "metro2/pop2/leafB/leafB3|metro2/pop2/leafB/leafB4|0" + "metro1/pop2/leafC/leafC2|metro1/pop2/leafD/leafD2|0", + "metro1/pop1/leafB/leafB1|metro1/pop1/leafB/leafB4|0" ] }, "failure_trace": null, @@ -16437,9 +16437,9 @@ "excluded_nodes": [], "excluded_links": [ "metro2/pop1/leafB/leafB3|metro2/pop1/leafC/leafC3|0", + "metro5/pop1/leafD/leafD1|metro5/pop1/leafD/leafD3|0", "metro1/pop1/leafD/leafD2|metro1/pop1/leafD/leafD3|0", - "metro1/pop2/leafB/leafB2|metro1/pop2/leafC/leafC2|0", - "metro5/pop1/leafD/leafD1|metro5/pop1/leafD/leafD3|0" + "metro1/pop2/leafB/leafB2|metro1/pop2/leafC/leafC2|0" ] }, "failure_trace": null, @@ -16538,8 +16538,8 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro2/pop1/leafA/leafA3|metro2/dc1/dc/dc|0", "metro1/pop1/leafB/leafB2|metro1/dc1/dc/dc|0", + "metro2/pop1/leafA/leafA3|metro2/dc1/dc/dc|0", "metro1/pop2/leafB/leafB4|metro1/dc1/dc/dc|0" ] }, @@ -16752,9 +16752,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro1/pop1/leafB/leafB4|metro1/dc1/dc/dc|0", "metro2/pop1/leafA/leafA2|metro2/dc1/dc/dc|0", - "metro5/pop1/leafC/leafC3|metro5/dc1/dc/dc|0" + "metro5/pop1/leafC/leafC3|metro5/dc1/dc/dc|0", + "metro1/pop1/leafB/leafB4|metro1/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -16968,9 +16968,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro1/pop1/leafD/leafD4|metro1/dc1/dc/dc|0", "metro1/pop2/leafD/leafD3|metro1/dc1/dc/dc|0", - "metro1/pop2/leafB/leafB3|metro1/dc1/dc/dc|0" + "metro1/pop2/leafB/leafB3|metro1/dc1/dc/dc|0", + "metro1/pop1/leafD/leafD4|metro1/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -17299,10 +17299,10 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro5/pop2/leafA/leafA3|metro5/pop2/leafB/leafB3|0", "metro2/pop1/leafB/leafB1|metro2/pop1/leafC/leafC1|0", + "metro5/pop2/leafC/leafC1|metro5/pop2/leafC/leafC3|0", "metro5/pop2/leafB/leafB4|metro5/pop2/leafC/leafC4|0", - "metro5/pop2/leafC/leafC1|metro5/pop2/leafC/leafC3|0" + "metro5/pop2/leafA/leafA3|metro5/pop2/leafB/leafB3|0" ] }, "failure_trace": null, @@ -17402,9 +17402,9 @@ "excluded_nodes": [], "excluded_links": [ "metro1/pop1/leafB/leafB2|metro1/pop1/leafC/leafC2|0", - "metro2/pop1/leafD/leafD3|metro2/pop1/leafD/leafD4|0", + "metro2/pop2/leafB/leafB2|metro2/pop2/leafC/leafC2|0", "metro2/pop2/leafD/leafD1|metro2/pop2/leafD/leafD4|0", - "metro2/pop2/leafB/leafB2|metro2/pop2/leafC/leafC2|0" + "metro2/pop1/leafD/leafD3|metro2/pop1/leafD/leafD4|0" ] }, "failure_trace": null, @@ -17503,8 +17503,8 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro2/pop1/leafC/leafC2|metro2/dc1/dc/dc|0", "metro2/pop2/leafA/leafA4|metro2/dc1/dc/dc|0", + "metro2/pop1/leafC/leafC2|metro2/dc1/dc/dc|0", "metro1/pop2/leafC/leafC1|metro1/dc1/dc/dc|0" ] }, @@ -17830,8 +17830,8 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro1/pop2/leafA/leafA4|metro1/dc1/dc/dc|0", "metro2/pop2/leafD/leafD4|metro2/dc1/dc/dc|0", + "metro1/pop2/leafA/leafA4|metro1/dc1/dc/dc|0", "metro5/pop1/leafB/leafB2|metro5/dc1/dc/dc|0" ] }, @@ -18045,8 +18045,8 @@ "excluded_nodes": [], "excluded_links": [ "metro2/pop1/leafC/leafC3|metro2/dc1/dc/dc|0", - "metro1/pop2/leafB/leafB2|metro1/dc1/dc/dc|0", - "metro2/pop1/leafC/leafC1|metro2/dc1/dc/dc|0" + "metro2/pop1/leafC/leafC1|metro2/dc1/dc/dc|0", + "metro1/pop2/leafB/leafB2|metro1/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -18154,9 +18154,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro1/pop2/leafD/leafD1|metro1/dc1/dc/dc|0", + "metro1/pop1/leafD/leafD2|metro1/dc1/dc/dc|0", "metro2/pop2/leafC/leafC4|metro2/dc1/dc/dc|0", - "metro1/pop1/leafD/leafD2|metro1/dc1/dc/dc|0" + "metro1/pop2/leafD/leafD1|metro1/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -18265,9 +18265,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ + "metro5/pop2/leafD/leafD4|metro5/dc1/dc/dc|0", "metro1/pop1/leafA/leafA1|metro1/dc1/dc/dc|0", - "metro5/pop2/leafB/leafB1|metro5/dc1/dc/dc|0", - "metro5/pop2/leafD/leafD4|metro5/dc1/dc/dc|0" + "metro5/pop2/leafB/leafB1|metro5/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -18375,9 +18375,9 @@ "excluded_nodes": [], "excluded_links": [ "metro1/pop1/leafB/leafB3|metro1/pop1/leafC/leafC3|0", - "metro2/pop2/leafB/leafB4|metro2/pop2/leafC/leafC4|0", + "metro1/pop1/leafB/leafB2|metro1/pop1/leafB/leafB4|0", "metro2/pop1/leafC/leafC3|metro2/pop1/leafC/leafC4|0", - "metro1/pop1/leafB/leafB2|metro1/pop1/leafB/leafB4|0" + "metro2/pop2/leafB/leafB4|metro2/pop2/leafC/leafC4|0" ] }, "failure_trace": null, @@ -18476,8 +18476,8 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro2/pop1/leafD/leafD2|metro2/dc1/dc/dc|0", "metro1/pop2/leafA/leafA3|metro1/dc1/dc/dc|0", + "metro2/pop1/leafD/leafD2|metro2/dc1/dc/dc|0", "metro1/pop1/leafD/leafD2|metro1/dc1/dc/dc|0" ] }, @@ -18587,10 +18587,10 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro5/pop2/leafB/leafB1|metro5/pop2/leafC/leafC1|0", - "metro5/pop2/leafD/leafD1|metro5/pop2/leafD/leafD3|0", "metro2/pop2/leafB/leafB1|metro2/pop2/leafB/leafB4|0", - "metro2/pop2/leafB/leafB2|metro2/pop2/leafC/leafC2|0" + "metro5/pop2/leafD/leafD1|metro5/pop2/leafD/leafD3|0", + "metro2/pop2/leafB/leafB2|metro2/pop2/leafC/leafC2|0", + "metro5/pop2/leafB/leafB1|metro5/pop2/leafC/leafC1|0" ] }, "failure_trace": null, @@ -18689,9 +18689,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro5/pop2/leafA/leafA3|metro5/dc1/dc/dc|0", + "metro2/pop1/leafA/leafA2|metro2/dc1/dc/dc|0", "metro1/pop1/leafA/leafA3|metro1/dc1/dc/dc|0", - "metro2/pop1/leafA/leafA2|metro2/dc1/dc/dc|0" + "metro5/pop2/leafA/leafA3|metro5/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -18800,9 +18800,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ + "metro5/pop2/leafC/leafC2|metro5/dc1/dc/dc|0", "metro1/pop2/leafA/leafA3|metro1/dc1/dc/dc|0", - "metro5/pop1/leafB/leafB4|metro5/dc1/dc/dc|0", - "metro5/pop2/leafC/leafC2|metro5/dc1/dc/dc|0" + "metro5/pop1/leafB/leafB4|metro5/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -18911,10 +18911,10 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro5/pop1/leafD/leafD1|metro5/pop1/leafD/leafD2|0", - "metro2/pop1/leafC/leafC3|metro2/pop1/leafD/leafD3|0", + "metro2/pop1/leafD/leafD2|metro2/pop1/leafD/leafD3|0", "metro1/pop1/leafB/leafB1|metro1/pop1/leafB/leafB3|0", - "metro2/pop1/leafD/leafD2|metro2/pop1/leafD/leafD3|0" + "metro5/pop1/leafD/leafD1|metro5/pop1/leafD/leafD2|0", + "metro2/pop1/leafC/leafC3|metro2/pop1/leafD/leafD3|0" ] }, "failure_trace": null, @@ -19536,9 +19536,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro1/pop1/leafC/leafC1|metro1/dc1/dc/dc|0", "metro1/pop2/leafB/leafB3|metro1/dc1/dc/dc|0", - "metro5/pop1/leafD/leafD3|metro5/dc1/dc/dc|0" + "metro5/pop1/leafD/leafD3|metro5/dc1/dc/dc|0", + "metro1/pop1/leafC/leafC1|metro1/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -19750,9 +19750,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ + "metro5/pop1/leafB/leafB1|metro5/dc1/dc/dc|0", "metro5/pop2/leafA/leafA3|metro5/dc1/dc/dc|0", - "metro1/pop1/leafA/leafA2|metro1/dc1/dc/dc|0", - "metro5/pop1/leafB/leafB1|metro5/dc1/dc/dc|0" + "metro1/pop1/leafA/leafA2|metro1/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -19861,9 +19861,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro2/pop1/leafA/leafA4|metro2/pop1/leafD/leafD4|0", "metro1/pop1/leafA/leafA3|metro1/pop1/leafA/leafA4|0", "metro2/pop2/leafA/leafA1|metro2/pop2/leafD/leafD1|0", + "metro2/pop1/leafA/leafA4|metro2/pop1/leafD/leafD4|0", "metro1/pop1/leafD/leafD3|metro1/pop1/leafD/leafD4|0" ] }, @@ -20066,9 +20066,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro1/pop2/leafC/leafC4|metro1/dc1/dc/dc|0", "metro2/pop2/leafB/leafB4|metro2/dc1/dc/dc|0", - "metro2/pop2/leafC/leafC3|metro2/dc1/dc/dc|0" + "metro2/pop2/leafC/leafC3|metro2/dc1/dc/dc|0", + "metro1/pop2/leafC/leafC4|metro1/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -20175,8 +20175,8 @@ "excluded_nodes": [], "excluded_links": [ "metro2/pop1/leafC/leafC2|metro2/dc1/dc/dc|0", - "metro5/pop2/leafC/leafC1|metro5/dc1/dc/dc|0", - "metro2/pop1/leafA/leafA4|metro2/dc1/dc/dc|0" + "metro2/pop1/leafA/leafA4|metro2/dc1/dc/dc|0", + "metro5/pop2/leafC/leafC1|metro5/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -20386,9 +20386,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro2/pop2/leafC/leafC2|metro2/dc1/dc/dc|0", "metro1/pop1/leafD/leafD1|metro1/dc1/dc/dc|0", - "metro1/pop1/leafC/leafC4|metro1/dc1/dc/dc|0" + "metro1/pop1/leafC/leafC4|metro1/dc1/dc/dc|0", + "metro2/pop2/leafC/leafC2|metro2/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -20496,8 +20496,8 @@ "excluded_nodes": [], "excluded_links": [ "metro2/pop1/leafD/leafD4|metro2/dc1/dc/dc|0", - "metro5/pop1/leafA/leafA3|metro5/dc1/dc/dc|0", - "metro1/pop2/leafB/leafB3|metro1/dc1/dc/dc|0" + "metro1/pop2/leafB/leafB3|metro1/dc1/dc/dc|0", + "metro5/pop1/leafA/leafA3|metro5/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -20715,8 +20715,8 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro5/pop2/leafD/leafD2|metro5/dc1/dc/dc|0", "metro1/pop2/leafA/leafA2|metro1/dc1/dc/dc|0", + "metro5/pop2/leafD/leafD2|metro5/dc1/dc/dc|0", "metro2/pop1/leafB/leafB2|metro2/dc1/dc/dc|0" ] }, @@ -20828,9 +20828,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro5/pop1/leafD/leafD4|metro5/dc1/dc/dc|0", + "metro5/pop1/leafC/leafC4|metro5/dc1/dc/dc|0", "metro2/pop1/leafA/leafA1|metro2/dc1/dc/dc|0", - "metro5/pop1/leafC/leafC4|metro5/dc1/dc/dc|0" + "metro5/pop1/leafD/leafD4|metro5/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -21044,10 +21044,10 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro2/pop1/leafB/leafB3|metro2/pop1/leafC/leafC3|0", - "metro5/pop2/leafA/leafA4|metro5/pop2/leafB/leafB4|0", + "metro2/pop2/leafA/leafA3|metro2/pop2/leafD/leafD3|0", "metro1/pop2/leafB/leafB4|metro1/pop2/leafC/leafC4|0", - "metro2/pop2/leafA/leafA3|metro2/pop2/leafD/leafD3|0" + "metro5/pop2/leafA/leafA4|metro5/pop2/leafB/leafB4|0", + "metro2/pop1/leafB/leafB3|metro2/pop1/leafC/leafC3|0" ] }, "failure_trace": null, @@ -21254,9 +21254,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro5/pop1/leafA/leafA1|metro5/dc1/dc/dc|0", "metro2/pop1/leafD/leafD2|metro2/dc1/dc/dc|0", - "metro1/pop2/leafC/leafC1|metro1/dc1/dc/dc|0" + "metro1/pop2/leafC/leafC1|metro1/dc1/dc/dc|0", + "metro5/pop1/leafA/leafA1|metro5/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -21366,8 +21366,8 @@ "excluded_nodes": [], "excluded_links": [ "metro1/pop1/leafB/leafB3|metro1/dc1/dc/dc|0", - "metro2/pop2/leafD/leafD2|metro2/dc1/dc/dc|0", - "metro1/pop1/leafD/leafD1|metro1/dc1/dc/dc|0" + "metro1/pop1/leafD/leafD1|metro1/dc1/dc/dc|0", + "metro2/pop2/leafD/leafD2|metro2/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -21474,10 +21474,10 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro1/pop1/leafA/leafA4|metro1/pop1/leafD/leafD4|0", - "metro5/pop1/leafC/leafC2|metro5/pop1/leafC/leafC4|0", "metro5/pop1/leafB/leafB2|metro5/pop1/leafB/leafB3|0", - "metro2/pop1/leafC/leafC4|metro2/pop1/leafD/leafD4|0" + "metro1/pop1/leafA/leafA4|metro1/pop1/leafD/leafD4|0", + "metro2/pop1/leafC/leafC4|metro2/pop1/leafD/leafD4|0", + "metro5/pop1/leafC/leafC2|metro5/pop1/leafC/leafC4|0" ] }, "failure_trace": null, @@ -21675,9 +21675,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ + "metro2/pop1/leafB/leafB3|metro2/dc1/dc/dc|0", "metro2/pop1/leafD/leafD2|metro2/dc1/dc/dc|0", - "metro5/pop1/leafC/leafC2|metro5/dc1/dc/dc|0", - "metro2/pop1/leafB/leafB3|metro2/dc1/dc/dc|0" + "metro5/pop1/leafC/leafC2|metro5/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -21782,9 +21782,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro1/pop1/leafD/leafD4|metro1/dc1/dc/dc|0", + "metro1/pop1/leafD/leafD1|metro1/dc1/dc/dc|0", "metro5/pop1/leafA/leafA1|metro5/dc1/dc/dc|0", - "metro1/pop1/leafD/leafD1|metro1/dc1/dc/dc|0" + "metro1/pop1/leafD/leafD4|metro1/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -21891,9 +21891,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro5/pop2/leafC/leafC1|metro5/dc1/dc/dc|0", + "metro5/pop1/leafD/leafD2|metro5/dc1/dc/dc|0", "metro5/pop1/leafC/leafC1|metro5/dc1/dc/dc|0", - "metro5/pop1/leafD/leafD2|metro5/dc1/dc/dc|0" + "metro5/pop2/leafC/leafC1|metro5/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -22103,8 +22103,8 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro5/pop2/leafA/leafA3|metro5/dc1/dc/dc|0", "metro5/pop1/leafC/leafC3|metro5/dc1/dc/dc|0", + "metro5/pop2/leafA/leafA3|metro5/dc1/dc/dc|0", "metro1/pop1/leafD/leafD3|metro1/dc1/dc/dc|0" ] }, @@ -22214,9 +22214,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ + "metro1/pop2/leafA/leafA1|metro1/dc1/dc/dc|0", "metro5/pop1/leafC/leafC1|metro5/dc1/dc/dc|0", - "metro2/pop2/leafC/leafC1|metro2/dc1/dc/dc|0", - "metro1/pop2/leafA/leafA1|metro1/dc1/dc/dc|0" + "metro2/pop2/leafC/leafC1|metro2/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -22325,9 +22325,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro2/pop1/leafD/leafD2|metro2/dc1/dc/dc|0", + "metro2/pop1/leafB/leafB4|metro2/dc1/dc/dc|0", "metro5/pop1/leafC/leafC3|metro5/dc1/dc/dc|0", - "metro2/pop1/leafB/leafB4|metro2/dc1/dc/dc|0" + "metro2/pop1/leafD/leafD2|metro2/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -22535,9 +22535,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ + "metro5/pop1/leafB/leafB1|metro5/dc1/dc/dc|0", "metro5/pop2/leafA/leafA3|metro5/dc1/dc/dc|0", - "metro1/pop1/leafC/leafC1|metro1/dc1/dc/dc|0", - "metro5/pop1/leafB/leafB1|metro5/dc1/dc/dc|0" + "metro1/pop1/leafC/leafC1|metro1/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -22648,9 +22648,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ + "metro2/pop2/leafA/leafA2|metro2/dc1/dc/dc|0", "metro2/pop1/leafC/leafC3|metro2/dc1/dc/dc|0", - "metro5/pop1/leafA/leafA2|metro5/dc1/dc/dc|0", - "metro2/pop2/leafA/leafA2|metro2/dc1/dc/dc|0" + "metro5/pop1/leafA/leafA2|metro5/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -22759,9 +22759,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro5/pop1/leafD/leafD1|metro5/dc1/dc/dc|0", + "metro2/pop1/leafC/leafC4|metro2/dc1/dc/dc|0", "metro5/pop1/leafC/leafC2|metro5/dc1/dc/dc|0", - "metro2/pop1/leafC/leafC4|metro2/dc1/dc/dc|0" + "metro5/pop1/leafD/leafD1|metro5/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -22866,10 +22866,10 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro5/pop2/leafC/leafC2|metro5/pop2/leafD/leafD2|0", - "metro5/pop1/leafC/leafC1|metro5/pop1/leafC/leafC3|0", "metro1/pop1/leafC/leafC2|metro1/pop1/leafC/leafC3|0", - "metro5/pop2/leafA/leafA1|metro5/pop2/leafA/leafA2|0" + "metro5/pop1/leafC/leafC1|metro5/pop1/leafC/leafC3|0", + "metro5/pop2/leafA/leafA1|metro5/pop2/leafA/leafA2|0", + "metro5/pop2/leafC/leafC2|metro5/pop2/leafD/leafD2|0" ] }, "failure_trace": null, @@ -23079,9 +23079,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro2/pop2/leafC/leafC2|metro2/dc1/dc/dc|0", + "metro1/pop2/leafA/leafA1|metro1/dc1/dc/dc|0", "metro2/pop2/leafC/leafC4|metro2/dc1/dc/dc|0", - "metro1/pop2/leafA/leafA1|metro1/dc1/dc/dc|0" + "metro2/pop2/leafC/leafC2|metro2/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -23290,8 +23290,8 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro5/pop2/leafB/leafB4|metro5/dc1/dc/dc|0", "metro2/pop1/leafD/leafD3|metro2/dc1/dc/dc|0", + "metro5/pop2/leafB/leafB4|metro5/dc1/dc/dc|0", "metro1/pop2/leafC/leafC1|metro1/dc1/dc/dc|0" ] }, @@ -23402,8 +23402,8 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro2/pop1/leafD/leafD1|metro2/dc1/dc/dc|0", "metro2/pop2/leafB/leafB3|metro2/dc1/dc/dc|0", + "metro2/pop1/leafD/leafD1|metro2/dc1/dc/dc|0", "metro1/pop1/leafC/leafC4|metro1/dc1/dc/dc|0" ] }, @@ -23513,10 +23513,10 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro5/pop1/leafC/leafC1|metro5/pop1/leafC/leafC2|0", + "metro1/pop1/leafA/leafA4|metro1/pop1/leafD/leafD4|0", "metro1/pop2/leafA/leafA1|metro1/pop2/leafB/leafB1|0", - "metro2/pop2/leafA/leafA2|metro2/pop2/leafA/leafA4|0", - "metro1/pop1/leafA/leafA4|metro1/pop1/leafD/leafD4|0" + "metro5/pop1/leafC/leafC1|metro5/pop1/leafC/leafC2|0", + "metro2/pop2/leafA/leafA2|metro2/pop2/leafA/leafA4|0" ] }, "failure_trace": null, @@ -23615,9 +23615,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro1/pop1/leafD/leafD3|metro1/dc1/dc/dc|0", "metro1/pop2/leafA/leafA1|metro1/dc1/dc/dc|0", - "metro5/pop1/leafB/leafB2|metro5/dc1/dc/dc|0" + "metro5/pop1/leafB/leafB2|metro5/dc1/dc/dc|0", + "metro1/pop1/leafD/leafD3|metro1/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -23726,9 +23726,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro1/pop1/leafC/leafC1|metro1/dc1/dc/dc|0", "metro2/pop1/leafA/leafA3|metro2/dc1/dc/dc|0", - "metro5/pop2/leafD/leafD1|metro5/dc1/dc/dc|0" + "metro5/pop2/leafD/leafD1|metro5/dc1/dc/dc|0", + "metro1/pop1/leafC/leafC1|metro1/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -24051,9 +24051,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ + "metro1/pop2/leafC/leafC4|metro1/dc1/dc/dc|0", "metro5/pop1/leafD/leafD4|metro5/dc1/dc/dc|0", - "metro1/pop1/leafB/leafB1|metro1/dc1/dc/dc|0", - "metro1/pop2/leafC/leafC4|metro1/dc1/dc/dc|0" + "metro1/pop1/leafB/leafB1|metro1/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -24162,8 +24162,8 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro2/pop2/leafA/leafA4|metro2/dc1/dc/dc|0", "metro5/pop1/leafC/leafC3|metro5/dc1/dc/dc|0", + "metro2/pop2/leafA/leafA4|metro2/dc1/dc/dc|0", "metro5/pop2/leafC/leafC3|metro5/dc1/dc/dc|0" ] }, @@ -24273,9 +24273,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ + "metro2/pop1/leafB/leafB4|metro2/dc1/dc/dc|0", "metro2/pop1/leafC/leafC3|metro2/dc1/dc/dc|0", - "metro5/pop2/leafB/leafB1|metro5/dc1/dc/dc|0", - "metro2/pop1/leafB/leafB4|metro2/dc1/dc/dc|0" + "metro5/pop2/leafB/leafB1|metro5/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -24382,9 +24382,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ + "metro1/pop2/leafA/leafA2|metro1/dc1/dc/dc|0", "metro2/pop1/leafD/leafD1|metro2/dc1/dc/dc|0", - "metro5/pop2/leafA/leafA2|metro5/dc1/dc/dc|0", - "metro1/pop2/leafA/leafA2|metro1/dc1/dc/dc|0" + "metro5/pop2/leafA/leafA2|metro5/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -24603,9 +24603,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ + "metro5/pop2/leafD/leafD3|metro5/dc1/dc/dc|0", "metro2/pop2/leafB/leafB1|metro2/dc1/dc/dc|0", - "metro5/pop1/leafC/leafC1|metro5/dc1/dc/dc|0", - "metro5/pop2/leafD/leafD3|metro5/dc1/dc/dc|0" + "metro5/pop1/leafC/leafC1|metro5/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -24714,9 +24714,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro1/pop1/leafD/leafD4|metro1/dc1/dc/dc|0", "metro2/pop2/leafA/leafA3|metro2/dc1/dc/dc|0", - "metro5/pop1/leafB/leafB3|metro5/dc1/dc/dc|0" + "metro5/pop1/leafB/leafB3|metro5/dc1/dc/dc|0", + "metro1/pop1/leafD/leafD4|metro1/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -24825,9 +24825,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro1/pop1/leafD/leafD4|metro1/dc1/dc/dc|0", + "metro5/pop1/leafC/leafC1|metro5/dc1/dc/dc|0", "metro5/pop1/leafD/leafD1|metro5/dc1/dc/dc|0", - "metro5/pop1/leafC/leafC1|metro5/dc1/dc/dc|0" + "metro1/pop1/leafD/leafD4|metro1/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -24933,8 +24933,8 @@ "excluded_nodes": [], "excluded_links": [ "metro5/pop1/leafD/leafD4|metro5/dc1/dc/dc|0", - "metro1/pop2/leafB/leafB2|metro1/dc1/dc/dc|0", - "metro2/pop2/leafC/leafC2|metro2/dc1/dc/dc|0" + "metro2/pop2/leafC/leafC2|metro2/dc1/dc/dc|0", + "metro1/pop2/leafB/leafB2|metro1/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -25043,9 +25043,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro2/pop2/leafA/leafA1|metro2/dc1/dc/dc|0", "metro2/pop1/leafB/leafB1|metro2/dc1/dc/dc|0", - "metro2/pop2/leafD/leafD4|metro2/dc1/dc/dc|0" + "metro2/pop2/leafD/leafD4|metro2/dc1/dc/dc|0", + "metro2/pop2/leafA/leafA1|metro2/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -25263,8 +25263,8 @@ "excluded_links": [ "metro2/pop1/leafA/leafA3|metro2/pop1/leafD/leafD3|0", "metro1/pop1/leafB/leafB1|metro1/pop1/leafB/leafB2|0", - "metro2/pop2/leafD/leafD2|metro2/pop2/leafD/leafD3|0", - "metro2/pop1/leafC/leafC4|metro2/pop1/leafD/leafD4|0" + "metro2/pop1/leafC/leafC4|metro2/pop1/leafD/leafD4|0", + "metro2/pop2/leafD/leafD2|metro2/pop2/leafD/leafD3|0" ] }, "failure_trace": null, @@ -25466,9 +25466,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro5/pop2/leafA/leafA4|metro5/dc1/dc/dc|0", + "metro1/pop1/leafA/leafA2|metro1/dc1/dc/dc|0", "metro5/pop1/leafC/leafC2|metro5/dc1/dc/dc|0", - "metro1/pop1/leafA/leafA2|metro1/dc1/dc/dc|0" + "metro5/pop2/leafA/leafA4|metro5/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -25577,10 +25577,10 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro1/pop1/leafB/leafB3|metro1/pop1/leafC/leafC3|0", + "metro5/pop2/leafB/leafB1|metro5/pop2/leafB/leafB2|0", "metro1/pop2/leafA/leafA1|metro1/pop2/leafA/leafA4|0", - "metro5/pop2/leafB/leafB2|metro5/pop2/leafB/leafB3|0", - "metro5/pop2/leafB/leafB1|metro5/pop2/leafB/leafB2|0" + "metro1/pop1/leafB/leafB3|metro1/pop1/leafC/leafC3|0", + "metro5/pop2/leafB/leafB2|metro5/pop2/leafB/leafB3|0" ] }, "failure_trace": null, @@ -25788,8 +25788,8 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro5/pop1/leafD/leafD4|metro5/dc1/dc/dc|0", "metro2/pop2/leafA/leafA3|metro2/dc1/dc/dc|0", + "metro5/pop1/leafD/leafD4|metro5/dc1/dc/dc|0", "metro1/pop2/leafD/leafD1|metro1/dc1/dc/dc|0" ] }, @@ -25899,8 +25899,8 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro5/pop2/leafB/leafB2|metro5/dc1/dc/dc|0", "metro5/pop2/leafD/leafD2|metro5/dc1/dc/dc|0", + "metro5/pop2/leafB/leafB2|metro5/dc1/dc/dc|0", "metro1/pop2/leafD/leafD2|metro1/dc1/dc/dc|0" ] }, @@ -26009,9 +26009,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ + "metro1/pop2/leafA/leafA1|metro1/dc1/dc/dc|0", "metro5/pop1/leafA/leafA4|metro5/dc1/dc/dc|0", - "metro5/pop2/leafD/leafD4|metro5/dc1/dc/dc|0", - "metro1/pop2/leafA/leafA1|metro1/dc1/dc/dc|0" + "metro5/pop2/leafD/leafD4|metro5/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -26120,9 +26120,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro5/pop1/leafA/leafA3|metro5/dc1/dc/dc|0", "metro1/pop2/leafA/leafA2|metro1/dc1/dc/dc|0", - "metro5/pop1/leafB/leafB3|metro5/dc1/dc/dc|0" + "metro5/pop1/leafB/leafB3|metro5/dc1/dc/dc|0", + "metro5/pop1/leafA/leafA3|metro5/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -26229,8 +26229,8 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro2/pop1/leafC/leafC2|metro2/dc1/dc/dc|0", "metro1/pop1/leafA/leafA2|metro1/dc1/dc/dc|0", + "metro2/pop1/leafC/leafC2|metro2/dc1/dc/dc|0", "metro1/pop2/leafC/leafC1|metro1/dc1/dc/dc|0" ] }, @@ -26340,10 +26340,10 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro5/pop2/leafA/leafA3|metro5/pop2/leafB/leafB3|0", "metro2/pop1/leafA/leafA4|metro2/pop1/leafB/leafB4|0", - "metro1/pop1/leafA/leafA1|metro1/pop1/leafD/leafD1|0", - "metro2/pop2/leafC/leafC1|metro2/pop2/leafC/leafC4|0" + "metro5/pop2/leafA/leafA3|metro5/pop2/leafB/leafB3|0", + "metro2/pop2/leafC/leafC1|metro2/pop2/leafC/leafC4|0", + "metro1/pop1/leafA/leafA1|metro1/pop1/leafD/leafD1|0" ] }, "failure_trace": null, @@ -26442,8 +26442,8 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro5/pop1/leafD/leafD4|metro5/dc1/dc/dc|0", "metro2/pop1/leafA/leafA1|metro2/dc1/dc/dc|0", + "metro5/pop1/leafD/leafD4|metro5/dc1/dc/dc|0", "metro2/pop2/leafB/leafB2|metro2/dc1/dc/dc|0" ] }, @@ -26656,8 +26656,8 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro5/pop2/leafB/leafB2|metro5/dc1/dc/dc|0", "metro5/pop2/leafB/leafB4|metro5/dc1/dc/dc|0", + "metro5/pop2/leafB/leafB2|metro5/dc1/dc/dc|0", "metro5/pop1/leafA/leafA2|metro5/dc1/dc/dc|0" ] }, @@ -26868,10 +26868,10 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro1/pop2/leafA/leafA4|metro1/pop2/leafD/leafD4|0", - "metro2/pop1/leafB/leafB2|metro2/pop1/leafC/leafC2|0", + "metro2/pop1/leafC/leafC1|metro2/pop1/leafC/leafC2|0", "metro1/pop1/leafC/leafC4|metro1/pop1/leafD/leafD4|0", - "metro2/pop1/leafC/leafC1|metro2/pop1/leafC/leafC2|0" + "metro1/pop2/leafA/leafA4|metro1/pop2/leafD/leafD4|0", + "metro2/pop1/leafB/leafB2|metro2/pop1/leafC/leafC2|0" ] }, "failure_trace": null, @@ -26970,9 +26970,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro5/pop1/leafD/leafD4|metro5/dc1/dc/dc|0", "metro2/pop1/leafB/leafB4|metro2/dc1/dc/dc|0", - "metro5/pop1/leafC/leafC4|metro5/dc1/dc/dc|0" + "metro5/pop1/leafC/leafC4|metro5/dc1/dc/dc|0", + "metro5/pop1/leafD/leafD4|metro5/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -27299,9 +27299,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ + "metro1/pop1/leafC/leafC3|metro1/dc1/dc/dc|0", "metro1/pop1/leafA/leafA4|metro1/dc1/dc/dc|0", - "metro5/pop2/leafD/leafD1|metro5/dc1/dc/dc|0", - "metro1/pop1/leafC/leafC3|metro1/dc1/dc/dc|0" + "metro5/pop2/leafD/leafD1|metro5/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -27408,9 +27408,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro2/pop1/leafC/leafC1|metro2/dc1/dc/dc|0", + "metro5/pop2/leafD/leafD3|metro5/dc1/dc/dc|0", "metro5/pop1/leafB/leafB3|metro5/dc1/dc/dc|0", - "metro5/pop2/leafD/leafD3|metro5/dc1/dc/dc|0" + "metro2/pop1/leafC/leafC1|metro2/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -27519,9 +27519,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro2/pop2/leafA/leafA1|metro2/dc1/dc/dc|0", + "metro1/pop2/leafA/leafA1|metro1/dc1/dc/dc|0", "metro2/pop1/leafD/leafD2|metro2/dc1/dc/dc|0", - "metro1/pop2/leafA/leafA1|metro1/dc1/dc/dc|0" + "metro2/pop2/leafA/leafA1|metro2/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -27947,9 +27947,9 @@ "excluded_nodes": [], "excluded_links": [ "metro1/pop2/leafB/leafB1|metro1/pop2/leafB/leafB3|0", - "metro1/pop1/leafB/leafB3|metro1/pop1/leafB/leafB4|0", + "metro1/pop1/leafC/leafC2|metro1/pop1/leafC/leafC3|0", "metro1/pop1/leafA/leafA2|metro1/pop1/leafA/leafA4|0", - "metro1/pop1/leafC/leafC2|metro1/pop1/leafC/leafC3|0" + "metro1/pop1/leafB/leafB3|metro1/pop1/leafB/leafB4|0" ] }, "failure_trace": null, @@ -28048,10 +28048,10 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro2/pop2/leafA/leafA1|metro2/pop2/leafA/leafA3|0", - "metro5/pop2/leafA/leafA4|metro5/pop2/leafD/leafD4|0", "metro1/pop1/leafA/leafA1|metro1/pop1/leafD/leafD1|0", - "metro1/pop2/leafA/leafA2|metro1/pop2/leafD/leafD2|0" + "metro1/pop2/leafA/leafA2|metro1/pop2/leafD/leafD2|0", + "metro2/pop2/leafA/leafA1|metro2/pop2/leafA/leafA3|0", + "metro5/pop2/leafA/leafA4|metro5/pop2/leafD/leafD4|0" ] }, "failure_trace": null, @@ -28150,9 +28150,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ + "metro5/pop1/leafC/leafC3|metro5/dc1/dc/dc|0", "metro5/pop1/leafA/leafA4|metro5/dc1/dc/dc|0", - "metro1/pop2/leafA/leafA4|metro1/dc1/dc/dc|0", - "metro5/pop1/leafC/leafC3|metro5/dc1/dc/dc|0" + "metro1/pop2/leafA/leafA4|metro1/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -28260,9 +28260,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro5/pop2/leafA/leafA4|metro5/dc1/dc/dc|0", "metro2/pop1/leafA/leafA1|metro2/dc1/dc/dc|0", - "metro5/pop1/leafC/leafC4|metro5/dc1/dc/dc|0" + "metro5/pop1/leafC/leafC4|metro5/dc1/dc/dc|0", + "metro5/pop2/leafA/leafA4|metro5/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -28371,9 +28371,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ + "metro2/pop2/leafB/leafB3|metro2/dc1/dc/dc|0", "metro5/pop1/leafD/leafD4|metro5/dc1/dc/dc|0", - "metro1/pop1/leafC/leafC2|metro1/dc1/dc/dc|0", - "metro2/pop2/leafB/leafB3|metro2/dc1/dc/dc|0" + "metro1/pop1/leafC/leafC2|metro1/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -28482,8 +28482,8 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro5/pop2/leafB/leafB3|metro5/dc1/dc/dc|0", "metro1/pop1/leafA/leafA4|metro1/dc1/dc/dc|0", + "metro5/pop2/leafB/leafB3|metro5/dc1/dc/dc|0", "metro2/pop1/leafC/leafC4|metro2/dc1/dc/dc|0" ] }, @@ -28593,9 +28593,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro1/pop1/leafB/leafB1|metro1/dc1/dc/dc|0", + "metro5/pop2/leafC/leafC4|metro5/dc1/dc/dc|0", "metro5/pop1/leafD/leafD2|metro5/dc1/dc/dc|0", - "metro5/pop2/leafC/leafC4|metro5/dc1/dc/dc|0" + "metro1/pop1/leafB/leafB1|metro1/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -28704,8 +28704,8 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro1/pop1/leafC/leafC1|metro1/dc1/dc/dc|0", "metro2/pop1/leafD/leafD4|metro2/dc1/dc/dc|0", + "metro1/pop1/leafC/leafC1|metro1/dc1/dc/dc|0", "metro5/pop1/leafB/leafB2|metro5/dc1/dc/dc|0" ] }, @@ -28914,10 +28914,10 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro1/pop1/leafA/leafA1|metro1/pop1/leafA/leafA4|0", - "metro1/pop1/leafA/leafA1|metro1/pop1/leafA/leafA3|0", + "metro1/pop1/leafB/leafB4|metro1/pop1/leafC/leafC4|0", "metro2/pop1/leafD/leafD1|metro2/pop1/leafD/leafD3|0", - "metro1/pop1/leafB/leafB4|metro1/pop1/leafC/leafC4|0" + "metro1/pop1/leafA/leafA1|metro1/pop1/leafA/leafA4|0", + "metro1/pop1/leafA/leafA1|metro1/pop1/leafA/leafA3|0" ] }, "failure_trace": null, @@ -29016,9 +29016,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro1/pop2/leafB/leafB2|metro1/dc1/dc/dc|0", + "metro1/pop2/leafC/leafC1|metro1/dc1/dc/dc|0", "metro2/pop1/leafA/leafA4|metro2/dc1/dc/dc|0", - "metro1/pop2/leafC/leafC1|metro1/dc1/dc/dc|0" + "metro1/pop2/leafB/leafB2|metro1/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -29126,10 +29126,10 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ + "metro1/pop1/leafA/leafA1|metro1/pop1/leafA/leafA3|0", "metro5/pop1/leafA/leafA4|metro5/pop1/leafB/leafB4|0", "metro2/pop2/leafC/leafC3|metro2/pop2/leafC/leafC4|0", - "metro2/pop1/leafD/leafD3|metro2/pop1/leafD/leafD4|0", - "metro1/pop1/leafA/leafA1|metro1/pop1/leafA/leafA3|0" + "metro2/pop1/leafD/leafD3|metro2/pop1/leafD/leafD4|0" ] }, "failure_trace": null, @@ -29331,9 +29331,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro2/pop1/leafC/leafC1|metro2/dc1/dc/dc|0", + "metro5/pop1/leafB/leafB3|metro5/dc1/dc/dc|0", "metro5/pop2/leafB/leafB3|metro5/dc1/dc/dc|0", - "metro5/pop1/leafB/leafB3|metro5/dc1/dc/dc|0" + "metro2/pop1/leafC/leafC1|metro2/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -29545,9 +29545,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ + "metro2/pop1/leafD/leafD2|metro2/dc1/dc/dc|0", "metro5/pop2/leafB/leafB3|metro5/dc1/dc/dc|0", - "metro5/pop1/leafD/leafD1|metro5/dc1/dc/dc|0", - "metro2/pop1/leafD/leafD2|metro2/dc1/dc/dc|0" + "metro5/pop1/leafD/leafD1|metro5/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -29657,8 +29657,8 @@ "excluded_nodes": [], "excluded_links": [ "metro2/pop1/leafD/leafD1|metro2/dc1/dc/dc|0", - "metro2/pop2/leafC/leafC2|metro2/dc1/dc/dc|0", - "metro1/pop1/leafC/leafC4|metro1/dc1/dc/dc|0" + "metro1/pop1/leafC/leafC4|metro1/dc1/dc/dc|0", + "metro2/pop2/leafC/leafC2|metro2/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -29767,10 +29767,10 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro1/pop1/leafC/leafC3|metro1/pop1/leafD/leafD3|0", - "metro5/pop1/leafC/leafC1|metro5/pop1/leafD/leafD1|0", "metro5/pop2/leafA/leafA1|metro5/pop2/leafA/leafA4|0", - "metro2/pop1/leafA/leafA3|metro2/pop1/leafA/leafA4|0" + "metro1/pop1/leafC/leafC3|metro1/pop1/leafD/leafD3|0", + "metro2/pop1/leafA/leafA3|metro2/pop1/leafA/leafA4|0", + "metro5/pop1/leafC/leafC1|metro5/pop1/leafD/leafD1|0" ] }, "failure_trace": null, @@ -29978,9 +29978,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro5/pop2/leafB/leafB3|metro5/dc1/dc/dc|0", "metro2/pop2/leafA/leafA2|metro2/dc1/dc/dc|0", - "metro2/pop1/leafB/leafB3|metro2/dc1/dc/dc|0" + "metro2/pop1/leafB/leafB3|metro2/dc1/dc/dc|0", + "metro5/pop2/leafB/leafB3|metro5/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -30089,10 +30089,10 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro5/pop1/leafA/leafA2|metro5/pop1/leafD/leafD2|0", "metro2/pop2/leafB/leafB2|metro2/pop2/leafB/leafB3|0", - "metro5/pop1/leafA/leafA1|metro5/pop1/leafA/leafA4|0", - "metro5/pop2/leafA/leafA2|metro5/pop2/leafB/leafB2|0" + "metro5/pop1/leafA/leafA2|metro5/pop1/leafD/leafD2|0", + "metro5/pop2/leafA/leafA2|metro5/pop2/leafB/leafB2|0", + "metro5/pop1/leafA/leafA1|metro5/pop1/leafA/leafA4|0" ] }, "failure_trace": null, @@ -30191,10 +30191,10 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro2/pop1/leafB/leafB2|metro2/pop1/leafC/leafC2|0", "metro1/pop1/leafC/leafC4|metro1/pop1/leafD/leafD4|0", "metro1/pop2/leafB/leafB1|metro1/pop2/leafC/leafC1|0", - "metro1/pop1/leafC/leafC2|metro1/pop1/leafC/leafC4|0" + "metro1/pop1/leafC/leafC2|metro1/pop1/leafC/leafC4|0", + "metro2/pop1/leafB/leafB2|metro2/pop1/leafC/leafC2|0" ] }, "failure_trace": null, @@ -30400,9 +30400,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro5/pop2/leafD/leafD2|metro5/dc1/dc/dc|0", "metro1/pop2/leafC/leafC2|metro1/dc1/dc/dc|0", - "metro5/pop1/leafD/leafD2|metro5/dc1/dc/dc|0" + "metro5/pop1/leafD/leafD2|metro5/dc1/dc/dc|0", + "metro5/pop2/leafD/leafD2|metro5/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -30512,9 +30512,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro5/pop2/leafC/leafC1|metro5/dc1/dc/dc|0", + "metro5/pop2/leafC/leafC2|metro5/dc1/dc/dc|0", "metro1/pop2/leafA/leafA3|metro1/dc1/dc/dc|0", - "metro5/pop2/leafC/leafC2|metro5/dc1/dc/dc|0" + "metro5/pop2/leafC/leafC1|metro5/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -30620,9 +30620,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro2/pop1/leafC/leafC3|metro2/dc1/dc/dc|0", "metro1/pop1/leafA/leafA4|metro1/dc1/dc/dc|0", - "metro1/pop2/leafA/leafA2|metro1/dc1/dc/dc|0" + "metro1/pop2/leafA/leafA2|metro1/dc1/dc/dc|0", + "metro2/pop1/leafC/leafC3|metro2/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -30731,9 +30731,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ + "metro1/pop1/leafB/leafB2|metro1/dc1/dc/dc|0", "metro2/pop1/leafA/leafA1|metro2/dc1/dc/dc|0", - "metro2/pop1/leafA/leafA3|metro2/dc1/dc/dc|0", - "metro1/pop1/leafB/leafB2|metro1/dc1/dc/dc|0" + "metro2/pop1/leafA/leafA3|metro2/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -30838,10 +30838,10 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro2/pop2/leafC/leafC4|metro2/pop2/leafD/leafD4|0", - "metro5/pop1/leafD/leafD1|metro5/pop1/leafD/leafD3|0", "metro2/pop1/leafA/leafA3|metro2/pop1/leafB/leafB3|0", - "metro5/pop1/leafA/leafA2|metro5/pop1/leafA/leafA3|0" + "metro5/pop1/leafD/leafD1|metro5/pop1/leafD/leafD3|0", + "metro5/pop1/leafA/leafA2|metro5/pop1/leafA/leafA3|0", + "metro2/pop2/leafC/leafC4|metro2/pop2/leafD/leafD4|0" ] }, "failure_trace": null, @@ -30940,8 +30940,8 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro2/pop2/leafA/leafA4|metro2/dc1/dc/dc|0", "metro1/pop2/leafC/leafC2|metro1/dc1/dc/dc|0", + "metro2/pop2/leafA/leafA4|metro2/dc1/dc/dc|0", "metro5/pop1/leafD/leafD2|metro5/dc1/dc/dc|0" ] }, @@ -31155,8 +31155,8 @@ "excluded_nodes": [], "excluded_links": [ "metro2/pop2/leafB/leafB1|metro2/dc1/dc/dc|0", - "metro1/pop1/leafC/leafC2|metro1/dc1/dc/dc|0", - "metro5/pop1/leafD/leafD2|metro5/dc1/dc/dc|0" + "metro5/pop1/leafD/leafD2|metro5/dc1/dc/dc|0", + "metro1/pop1/leafC/leafC2|metro1/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -31267,8 +31267,8 @@ "excluded_nodes": [], "excluded_links": [ "metro2/pop1/leafD/leafD3|metro2/dc1/dc/dc|0", - "metro5/pop2/leafC/leafC3|metro5/dc1/dc/dc|0", - "metro2/pop2/leafC/leafC4|metro2/dc1/dc/dc|0" + "metro2/pop2/leafC/leafC4|metro2/dc1/dc/dc|0", + "metro5/pop2/leafC/leafC3|metro5/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -31377,10 +31377,10 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro5/pop2/leafC/leafC3|metro5/pop2/leafD/leafD3|0", "metro1/pop1/leafA/leafA2|metro1/pop1/leafA/leafA3|0", + "metro2/pop1/leafB/leafB2|metro2/pop1/leafB/leafB4|0", "metro1/pop1/leafA/leafA4|metro1/pop1/leafB/leafB4|0", - "metro2/pop1/leafB/leafB2|metro2/pop1/leafB/leafB4|0" + "metro5/pop2/leafC/leafC3|metro5/pop2/leafD/leafD3|0" ] }, "failure_trace": null, @@ -31479,9 +31479,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro1/pop1/leafC/leafC1|metro1/dc1/dc/dc|0", "metro2/pop1/leafC/leafC2|metro2/dc1/dc/dc|0", - "metro2/pop1/leafA/leafA4|metro2/dc1/dc/dc|0" + "metro2/pop1/leafA/leafA4|metro2/dc1/dc/dc|0", + "metro1/pop1/leafC/leafC1|metro1/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -31911,8 +31911,8 @@ "excluded_nodes": [], "excluded_links": [ "metro2/pop1/leafD/leafD3|metro2/dc1/dc/dc|0", - "metro5/pop1/leafB/leafB4|metro5/dc1/dc/dc|0", - "metro1/pop1/leafD/leafD1|metro1/dc1/dc/dc|0" + "metro1/pop1/leafD/leafD1|metro1/dc1/dc/dc|0", + "metro5/pop1/leafB/leafB4|metro5/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -32017,9 +32017,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro5/pop2/leafC/leafC1|metro5/dc1/dc/dc|0", "metro2/pop1/leafA/leafA1|metro2/dc1/dc/dc|0", - "metro5/pop1/leafC/leafC4|metro5/dc1/dc/dc|0" + "metro5/pop1/leafC/leafC4|metro5/dc1/dc/dc|0", + "metro5/pop2/leafC/leafC1|metro5/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -32232,9 +32232,9 @@ "excluded_nodes": [], "excluded_links": [ "metro2/pop2/leafB/leafB2|metro2/pop2/leafB/leafB3|0", - "metro2/pop2/leafC/leafC2|metro2/pop2/leafC/leafC3|0", "metro5/pop2/leafA/leafA4|metro5/pop2/leafD/leafD4|0", - "metro5/pop2/leafB/leafB1|metro5/pop2/leafB/leafB3|0" + "metro5/pop2/leafB/leafB1|metro5/pop2/leafB/leafB3|0", + "metro2/pop2/leafC/leafC2|metro2/pop2/leafC/leafC3|0" ] }, "failure_trace": null, @@ -32333,9 +32333,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ + "metro1/pop2/leafB/leafB1|metro1/dc1/dc/dc|0", "metro1/pop1/leafB/leafB1|metro1/dc1/dc/dc|0", - "metro2/pop2/leafB/leafB2|metro2/dc1/dc/dc|0", - "metro1/pop2/leafB/leafB1|metro1/dc1/dc/dc|0" + "metro2/pop2/leafB/leafB2|metro2/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -32547,9 +32547,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro2/pop1/leafD/leafD1|metro2/dc1/dc/dc|0", "metro2/pop2/leafD/leafD3|metro2/dc1/dc/dc|0", - "metro1/pop2/leafA/leafA1|metro1/dc1/dc/dc|0" + "metro1/pop2/leafA/leafA1|metro1/dc1/dc/dc|0", + "metro2/pop1/leafD/leafD1|metro2/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -32762,10 +32762,10 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro1/pop2/leafC/leafC2|metro1/pop2/leafD/leafD2|0", - "metro5/pop2/leafA/leafA4|metro5/pop2/leafD/leafD4|0", + "metro1/pop2/leafD/leafD2|metro1/pop2/leafD/leafD4|0", "metro1/pop1/leafC/leafC1|metro1/pop1/leafC/leafC2|0", - "metro1/pop2/leafD/leafD2|metro1/pop2/leafD/leafD4|0" + "metro1/pop2/leafC/leafC2|metro1/pop2/leafD/leafD2|0", + "metro5/pop2/leafA/leafA4|metro5/pop2/leafD/leafD4|0" ] }, "failure_trace": null, @@ -32864,9 +32864,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ + "metro5/pop1/leafC/leafC1|metro5/pop1/leafD/leafD1|0", "metro2/pop2/leafA/leafA4|metro2/pop2/leafD/leafD4|0", "metro1/pop1/leafB/leafB1|metro1/pop1/leafB/leafB2|0", - "metro5/pop1/leafC/leafC1|metro5/pop1/leafD/leafD1|0", "metro2/pop1/leafB/leafB1|metro2/pop1/leafB/leafB3|0" ] }, @@ -33070,8 +33070,8 @@ "excluded_nodes": [], "excluded_links": [ "metro1/pop1/leafA/leafA4|metro1/dc1/dc/dc|0", - "metro2/pop2/leafC/leafC1|metro2/dc1/dc/dc|0", - "metro2/pop2/leafC/leafC4|metro2/dc1/dc/dc|0" + "metro2/pop2/leafC/leafC4|metro2/dc1/dc/dc|0", + "metro2/pop2/leafC/leafC1|metro2/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -33179,9 +33179,9 @@ "excluded_nodes": [], "excluded_links": [ "metro2/pop1/leafA/leafA2|metro2/pop1/leafA/leafA4|0", + "metro5/pop1/leafA/leafA2|metro5/pop1/leafA/leafA3|0", "metro1/pop2/leafC/leafC2|metro1/pop2/leafC/leafC3|0", - "metro2/pop1/leafB/leafB4|metro2/pop1/leafC/leafC4|0", - "metro5/pop1/leafA/leafA2|metro5/pop1/leafA/leafA3|0" + "metro2/pop1/leafB/leafB4|metro2/pop1/leafC/leafC4|0" ] }, "failure_trace": null, @@ -33280,8 +33280,8 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro2/pop1/leafD/leafD2|metro2/dc1/dc/dc|0", "metro1/pop2/leafC/leafC2|metro1/dc1/dc/dc|0", + "metro2/pop1/leafD/leafD2|metro2/dc1/dc/dc|0", "metro1/pop1/leafA/leafA2|metro1/dc1/dc/dc|0" ] }, @@ -33391,9 +33391,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro5/pop1/leafA/leafA2|metro5/dc1/dc/dc|0", + "metro2/pop1/leafA/leafA2|metro2/dc1/dc/dc|0", "metro5/pop1/leafD/leafD1|metro5/dc1/dc/dc|0", - "metro2/pop1/leafA/leafA2|metro2/dc1/dc/dc|0" + "metro5/pop1/leafA/leafA2|metro5/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -33500,9 +33500,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro5/pop1/leafA/leafA1|metro5/dc1/dc/dc|0", "metro5/pop2/leafC/leafC1|metro5/dc1/dc/dc|0", - "metro2/pop1/leafC/leafC1|metro2/dc1/dc/dc|0" + "metro2/pop1/leafC/leafC1|metro2/dc1/dc/dc|0", + "metro5/pop1/leafA/leafA1|metro5/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -33611,10 +33611,10 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro1/pop2/leafB/leafB2|metro1/pop2/leafC/leafC2|0", "metro5/pop2/leafA/leafA1|metro5/pop2/leafA/leafA4|0", "metro5/pop2/leafC/leafC1|metro5/pop2/leafC/leafC4|0", - "metro1/pop2/leafB/leafB1|metro1/pop2/leafB/leafB3|0" + "metro1/pop2/leafB/leafB1|metro1/pop2/leafB/leafB3|0", + "metro1/pop2/leafB/leafB2|metro1/pop2/leafC/leafC2|0" ] }, "failure_trace": null, @@ -33816,9 +33816,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro5/pop1/leafA/leafA2|metro5/dc1/dc/dc|0", + "metro5/pop2/leafC/leafC1|metro5/dc1/dc/dc|0", "metro1/pop2/leafA/leafA4|metro1/dc1/dc/dc|0", - "metro5/pop2/leafC/leafC1|metro5/dc1/dc/dc|0" + "metro5/pop1/leafA/leafA2|metro5/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -34037,9 +34037,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro1/pop2/leafB/leafB2|metro1/dc1/dc/dc|0", "metro2/pop2/leafA/leafA2|metro2/dc1/dc/dc|0", - "metro2/pop1/leafA/leafA1|metro2/dc1/dc/dc|0" + "metro2/pop1/leafA/leafA1|metro2/dc1/dc/dc|0", + "metro1/pop2/leafB/leafB2|metro1/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -34149,9 +34149,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro2/pop2/leafC/leafC1|metro2/dc1/dc/dc|0", "metro2/pop2/leafC/leafC3|metro2/dc1/dc/dc|0", - "metro5/pop1/leafB/leafB3|metro5/dc1/dc/dc|0" + "metro5/pop1/leafB/leafB3|metro5/dc1/dc/dc|0", + "metro2/pop2/leafC/leafC1|metro2/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -34361,8 +34361,8 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro2/pop1/leafD/leafD2|metro2/dc1/dc/dc|0", "metro2/pop2/leafD/leafD4|metro2/dc1/dc/dc|0", + "metro2/pop1/leafD/leafD2|metro2/dc1/dc/dc|0", "metro1/pop1/leafB/leafB2|metro1/dc1/dc/dc|0" ] }, @@ -34472,8 +34472,8 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro5/pop1/leafD/leafD1|metro5/dc1/dc/dc|0", "metro1/pop1/leafA/leafA4|metro1/dc1/dc/dc|0", + "metro5/pop1/leafD/leafD1|metro5/dc1/dc/dc|0", "metro2/pop2/leafB/leafB2|metro2/dc1/dc/dc|0" ] }, @@ -34583,9 +34583,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro5/pop1/leafA/leafA2|metro5/dc1/dc/dc|0", "metro1/pop1/leafA/leafA3|metro1/dc1/dc/dc|0", - "metro2/pop1/leafB/leafB3|metro2/dc1/dc/dc|0" + "metro2/pop1/leafB/leafB3|metro2/dc1/dc/dc|0", + "metro5/pop1/leafA/leafA2|metro5/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -34691,9 +34691,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ + "metro5/pop1/leafA/leafA1|metro5/pop1/leafA/leafA2|0", "metro5/pop1/leafA/leafA2|metro5/pop1/leafD/leafD2|0", "metro5/pop1/leafC/leafC1|metro5/pop1/leafC/leafC2|0", - "metro5/pop1/leafA/leafA1|metro5/pop1/leafA/leafA2|0", "metro2/pop1/leafB/leafB2|metro2/pop1/leafB/leafB4|0" ] }, @@ -34896,9 +34896,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro2/pop1/leafC/leafC1|metro2/dc1/dc/dc|0", + "metro2/pop2/leafD/leafD4|metro2/dc1/dc/dc|0", "metro2/pop2/leafA/leafA4|metro2/dc1/dc/dc|0", - "metro2/pop2/leafD/leafD4|metro2/dc1/dc/dc|0" + "metro2/pop1/leafC/leafC1|metro2/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -35108,9 +35108,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro5/pop1/leafC/leafC1|metro5/dc1/dc/dc|0", + "metro2/pop2/leafD/leafD2|metro2/dc1/dc/dc|0", "metro5/pop2/leafD/leafD2|metro5/dc1/dc/dc|0", - "metro2/pop2/leafD/leafD2|metro2/dc1/dc/dc|0" + "metro5/pop1/leafC/leafC1|metro5/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -35219,10 +35219,10 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro2/pop2/leafA/leafA1|metro2/pop2/leafB/leafB1|0", - "metro2/pop2/leafA/leafA1|metro2/pop2/leafD/leafD1|0", "metro5/pop1/leafA/leafA1|metro5/pop1/leafA/leafA3|0", - "metro1/pop1/leafB/leafB3|metro1/pop1/leafB/leafB4|0" + "metro2/pop2/leafA/leafA1|metro2/pop2/leafD/leafD1|0", + "metro1/pop1/leafB/leafB3|metro1/pop1/leafB/leafB4|0", + "metro2/pop2/leafA/leafA1|metro2/pop2/leafB/leafB1|0" ] }, "failure_trace": null, @@ -35321,9 +35321,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro1/pop1/leafD/leafD4|metro1/dc1/dc/dc|0", "metro2/pop2/leafD/leafD3|metro2/dc1/dc/dc|0", - "metro1/pop2/leafB/leafB3|metro1/dc1/dc/dc|0" + "metro1/pop2/leafB/leafB3|metro1/dc1/dc/dc|0", + "metro1/pop1/leafD/leafD4|metro1/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -35432,10 +35432,10 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro5/pop1/leafB/leafB2|metro5/pop1/leafC/leafC2|0", - "metro1/pop2/leafB/leafB1|metro1/pop2/leafC/leafC1|0", + "metro1/pop1/leafC/leafC2|metro1/pop1/leafC/leafC3|0", "metro5/pop2/leafA/leafA2|metro5/pop2/leafB/leafB2|0", - "metro1/pop1/leafC/leafC2|metro1/pop1/leafC/leafC3|0" + "metro1/pop2/leafB/leafB1|metro1/pop2/leafC/leafC1|0", + "metro5/pop1/leafB/leafB2|metro5/pop1/leafC/leafC2|0" ] }, "failure_trace": null, @@ -35535,8 +35535,8 @@ "excluded_nodes": [], "excluded_links": [ "metro1/pop1/leafA/leafA4|metro1/dc1/dc/dc|0", - "metro5/pop2/leafC/leafC4|metro5/dc1/dc/dc|0", - "metro2/pop1/leafB/leafB3|metro2/dc1/dc/dc|0" + "metro2/pop1/leafB/leafB3|metro2/dc1/dc/dc|0", + "metro5/pop2/leafC/leafC4|metro5/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -35646,8 +35646,8 @@ "excluded_nodes": [], "excluded_links": [ "metro2/pop1/leafA/leafA2|metro2/dc1/dc/dc|0", - "metro5/pop2/leafA/leafA4|metro5/dc1/dc/dc|0", - "metro2/pop1/leafB/leafB3|metro2/dc1/dc/dc|0" + "metro2/pop1/leafB/leafB3|metro2/dc1/dc/dc|0", + "metro5/pop2/leafA/leafA4|metro5/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -35755,9 +35755,9 @@ "excluded_nodes": [], "excluded_links": [ "metro2/pop2/leafA/leafA4|metro2/pop2/leafD/leafD4|0", + "metro1/pop2/leafC/leafC1|metro1/pop2/leafC/leafC2|0", "metro1/pop2/leafA/leafA2|metro1/pop2/leafA/leafA3|0", - "metro1/pop1/leafA/leafA1|metro1/pop1/leafA/leafA3|0", - "metro1/pop2/leafC/leafC1|metro1/pop2/leafC/leafC2|0" + "metro1/pop1/leafA/leafA1|metro1/pop1/leafA/leafA3|0" ] }, "failure_trace": null, @@ -35959,9 +35959,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ + "metro1/pop2/leafA/leafA2|metro1/dc1/dc/dc|0", "metro5/pop2/leafB/leafB2|metro5/dc1/dc/dc|0", - "metro5/pop1/leafA/leafA2|metro5/dc1/dc/dc|0", - "metro1/pop2/leafA/leafA2|metro1/dc1/dc/dc|0" + "metro5/pop1/leafA/leafA2|metro5/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -36072,10 +36072,10 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro2/pop1/leafB/leafB1|metro2/pop1/leafB/leafB4|0", - "metro2/pop2/leafC/leafC2|metro2/pop2/leafC/leafC3|0", "metro2/pop2/leafB/leafB2|metro2/pop2/leafB/leafB4|0", - "metro2/pop1/leafB/leafB2|metro2/pop1/leafB/leafB4|0" + "metro2/pop1/leafB/leafB2|metro2/pop1/leafB/leafB4|0", + "metro2/pop1/leafB/leafB1|metro2/pop1/leafB/leafB4|0", + "metro2/pop2/leafC/leafC2|metro2/pop2/leafC/leafC3|0" ] }, "failure_trace": null, @@ -36174,9 +36174,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro5/pop1/leafD/leafD4|metro5/dc1/dc/dc|0", "metro2/pop1/leafD/leafD2|metro2/dc1/dc/dc|0", - "metro2/pop2/leafC/leafC4|metro2/dc1/dc/dc|0" + "metro2/pop2/leafC/leafC4|metro2/dc1/dc/dc|0", + "metro5/pop1/leafD/leafD4|metro5/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -36285,9 +36285,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ + "metro5/pop1/leafC/leafC3|metro5/dc1/dc/dc|0", "metro5/pop2/leafA/leafA3|metro5/dc1/dc/dc|0", - "metro1/pop1/leafC/leafC2|metro1/dc1/dc/dc|0", - "metro5/pop1/leafC/leafC3|metro5/dc1/dc/dc|0" + "metro1/pop1/leafC/leafC2|metro1/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -36508,9 +36508,9 @@ "excluded_nodes": [], "excluded_links": [ "metro5/pop1/leafA/leafA1|metro5/pop1/leafA/leafA2|0", - "metro2/pop1/leafA/leafA3|metro2/pop1/leafA/leafA4|0", "metro1/pop2/leafC/leafC2|metro1/pop2/leafC/leafC4|0", - "metro5/pop2/leafA/leafA1|metro5/pop2/leafA/leafA2|0" + "metro5/pop2/leafA/leafA1|metro5/pop2/leafA/leafA2|0", + "metro2/pop1/leafA/leafA3|metro2/pop1/leafA/leafA4|0" ] }, "failure_trace": null, @@ -36720,9 +36720,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ + "metro5/pop2/leafC/leafC4|metro5/dc1/dc/dc|0", "metro5/pop2/leafB/leafB3|metro5/dc1/dc/dc|0", - "metro2/pop2/leafC/leafC2|metro2/dc1/dc/dc|0", - "metro5/pop2/leafC/leafC4|metro5/dc1/dc/dc|0" + "metro2/pop2/leafC/leafC2|metro2/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -36827,9 +36827,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro2/pop1/leafC/leafC1|metro2/dc1/dc/dc|0", "metro2/pop1/leafA/leafA2|metro2/dc1/dc/dc|0", - "metro5/pop1/leafC/leafC1|metro5/dc1/dc/dc|0" + "metro5/pop1/leafC/leafC1|metro5/dc1/dc/dc|0", + "metro2/pop1/leafC/leafC1|metro2/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -36936,8 +36936,8 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro2/pop1/leafA/leafA1|metro2/dc1/dc/dc|0", "metro5/pop1/leafD/leafD2|metro5/dc1/dc/dc|0", + "metro2/pop1/leafA/leafA1|metro2/dc1/dc/dc|0", "metro5/pop2/leafC/leafC4|metro5/dc1/dc/dc|0" ] }, @@ -37158,8 +37158,8 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro5/pop1/leafA/leafA4|metro5/dc1/dc/dc|0", "metro5/pop2/leafC/leafC1|metro5/dc1/dc/dc|0", + "metro5/pop1/leafA/leafA4|metro5/dc1/dc/dc|0", "metro5/pop2/leafB/leafB1|metro5/dc1/dc/dc|0" ] }, @@ -37267,9 +37267,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro1/pop2/leafC/leafC4|metro1/dc1/dc/dc|0", "metro2/pop2/leafB/leafB3|metro2/dc1/dc/dc|0", - "metro5/pop1/leafD/leafD3|metro5/dc1/dc/dc|0" + "metro5/pop1/leafD/leafD3|metro5/dc1/dc/dc|0", + "metro1/pop2/leafC/leafC4|metro1/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -37378,8 +37378,8 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro2/pop1/leafD/leafD1|metro2/dc1/dc/dc|0", "metro5/pop2/leafB/leafB4|metro5/dc1/dc/dc|0", + "metro2/pop1/leafD/leafD1|metro2/dc1/dc/dc|0", "metro2/pop1/leafB/leafB2|metro2/dc1/dc/dc|0" ] }, @@ -37487,10 +37487,10 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ + "metro5/pop2/leafC/leafC1|metro5/pop2/leafC/leafC3|0", "metro2/pop1/leafB/leafB3|metro2/pop1/leafC/leafC3|0", - "metro2/pop2/leafC/leafC2|metro2/pop2/leafC/leafC3|0", "metro2/pop1/leafA/leafA2|metro2/pop1/leafD/leafD2|0", - "metro5/pop2/leafC/leafC1|metro5/pop2/leafC/leafC3|0" + "metro2/pop2/leafC/leafC2|metro2/pop2/leafC/leafC3|0" ] }, "failure_trace": null, @@ -37700,9 +37700,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro1/pop1/leafD/leafD4|metro1/dc1/dc/dc|0", + "metro2/pop1/leafA/leafA1|metro2/dc1/dc/dc|0", "metro1/pop1/leafB/leafB1|metro1/dc1/dc/dc|0", - "metro2/pop1/leafA/leafA1|metro2/dc1/dc/dc|0" + "metro1/pop1/leafD/leafD4|metro1/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -37914,9 +37914,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro1/pop2/leafB/leafB2|metro1/dc1/dc/dc|0", + "metro1/pop2/leafB/leafB1|metro1/dc1/dc/dc|0", "metro1/pop1/leafB/leafB1|metro1/dc1/dc/dc|0", - "metro1/pop2/leafB/leafB1|metro1/dc1/dc/dc|0" + "metro1/pop2/leafB/leafB2|metro1/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -38025,8 +38025,8 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro5/pop1/leafA/leafA4|metro5/dc1/dc/dc|0", "metro2/pop2/leafD/leafD3|metro2/dc1/dc/dc|0", + "metro5/pop1/leafA/leafA4|metro5/dc1/dc/dc|0", "metro2/pop1/leafB/leafB4|metro2/dc1/dc/dc|0" ] }, @@ -38136,9 +38136,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro5/pop1/leafA/leafA2|metro5/dc1/dc/dc|0", "metro2/pop1/leafB/leafB3|metro2/dc1/dc/dc|0", - "metro2/pop2/leafC/leafC4|metro2/dc1/dc/dc|0" + "metro2/pop2/leafC/leafC4|metro2/dc1/dc/dc|0", + "metro5/pop1/leafA/leafA2|metro5/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -38248,8 +38248,8 @@ "excluded_nodes": [], "excluded_links": [ "metro2/pop2/leafB/leafB4|metro2/dc1/dc/dc|0", - "metro5/pop2/leafB/leafB1|metro5/dc1/dc/dc|0", - "metro2/pop2/leafA/leafA4|metro2/dc1/dc/dc|0" + "metro2/pop2/leafA/leafA4|metro2/dc1/dc/dc|0", + "metro5/pop2/leafB/leafB1|metro5/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -38465,9 +38465,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro5/pop2/leafC/leafC1|metro5/dc1/dc/dc|0", "metro1/pop1/leafA/leafA3|metro1/dc1/dc/dc|0", - "metro2/pop1/leafC/leafC4|metro2/dc1/dc/dc|0" + "metro2/pop1/leafC/leafC4|metro2/dc1/dc/dc|0", + "metro5/pop2/leafC/leafC1|metro5/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -38576,9 +38576,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro5/pop1/leafD/leafD1|metro5/dc1/dc/dc|0", "metro2/pop1/leafD/leafD2|metro2/dc1/dc/dc|0", - "metro1/pop1/leafD/leafD2|metro1/dc1/dc/dc|0" + "metro1/pop1/leafD/leafD2|metro1/dc1/dc/dc|0", + "metro5/pop1/leafD/leafD1|metro5/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -38683,9 +38683,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro1/pop2/leafC/leafC4|metro1/dc1/dc/dc|0", + "metro1/pop2/leafA/leafA1|metro1/dc1/dc/dc|0", "metro1/pop1/leafB/leafB4|metro1/dc1/dc/dc|0", - "metro1/pop2/leafA/leafA1|metro1/dc1/dc/dc|0" + "metro1/pop2/leafC/leafC4|metro1/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -38792,10 +38792,10 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro1/pop1/leafA/leafA1|metro1/pop1/leafA/leafA3|0", "metro1/pop1/leafB/leafB1|metro1/pop1/leafB/leafB2|0", "metro2/pop1/leafC/leafC2|metro2/pop1/leafC/leafC4|0", - "metro2/pop1/leafB/leafB2|metro2/pop1/leafB/leafB4|0" + "metro2/pop1/leafB/leafB2|metro2/pop1/leafB/leafB4|0", + "metro1/pop1/leafA/leafA1|metro1/pop1/leafA/leafA3|0" ] }, "failure_trace": null, @@ -38894,9 +38894,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro5/pop2/leafB/leafB1|metro5/dc1/dc/dc|0", + "metro5/pop2/leafA/leafA1|metro5/dc1/dc/dc|0", "metro5/pop1/leafC/leafC4|metro5/dc1/dc/dc|0", - "metro5/pop2/leafA/leafA1|metro5/dc1/dc/dc|0" + "metro5/pop2/leafB/leafB1|metro5/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -39003,9 +39003,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ + "metro5/pop2/leafD/leafD2|metro5/dc1/dc/dc|0", "metro5/pop1/leafD/leafD4|metro5/dc1/dc/dc|0", - "metro5/pop2/leafC/leafC1|metro5/dc1/dc/dc|0", - "metro5/pop2/leafD/leafD2|metro5/dc1/dc/dc|0" + "metro5/pop2/leafC/leafC1|metro5/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -39112,10 +39112,10 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro5/pop1/leafB/leafB4|metro5/pop1/leafC/leafC4|0", - "metro1/pop2/leafC/leafC2|metro1/pop2/leafC/leafC3|0", "metro5/pop1/leafA/leafA1|metro5/pop1/leafA/leafA2|0", - "metro1/pop2/leafA/leafA3|metro1/pop2/leafD/leafD3|0" + "metro5/pop1/leafB/leafB4|metro5/pop1/leafC/leafC4|0", + "metro1/pop2/leafA/leafA3|metro1/pop2/leafD/leafD3|0", + "metro1/pop2/leafC/leafC2|metro1/pop2/leafC/leafC3|0" ] }, "failure_trace": null, @@ -39215,8 +39215,8 @@ "excluded_nodes": [], "excluded_links": [ "metro2/pop2/leafA/leafA2|metro2/dc1/dc/dc|0", - "metro2/pop2/leafC/leafC2|metro2/dc1/dc/dc|0", - "metro2/pop1/leafC/leafC4|metro2/dc1/dc/dc|0" + "metro2/pop1/leafC/leafC4|metro2/dc1/dc/dc|0", + "metro2/pop2/leafC/leafC2|metro2/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -39323,9 +39323,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro1/pop1/leafD/leafD4|metro1/dc1/dc/dc|0", "metro2/pop1/leafC/leafC2|metro2/dc1/dc/dc|0", - "metro5/pop1/leafD/leafD1|metro5/dc1/dc/dc|0" + "metro5/pop1/leafD/leafD1|metro5/dc1/dc/dc|0", + "metro1/pop1/leafD/leafD4|metro1/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -39430,8 +39430,8 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro5/pop1/leafD/leafD1|metro5/dc1/dc/dc|0", "metro1/pop2/leafA/leafA3|metro1/dc1/dc/dc|0", + "metro5/pop1/leafD/leafD1|metro5/dc1/dc/dc|0", "metro5/pop2/leafB/leafB1|metro5/dc1/dc/dc|0" ] }, @@ -39541,8 +39541,8 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro2/pop1/leafD/leafD1|metro2/dc1/dc/dc|0", "metro2/pop2/leafD/leafD4|metro2/dc1/dc/dc|0", + "metro2/pop1/leafD/leafD1|metro2/dc1/dc/dc|0", "metro2/pop1/leafA/leafA4|metro2/dc1/dc/dc|0" ] }, @@ -39650,10 +39650,10 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro2/pop1/leafD/leafD1|metro2/pop1/leafD/leafD4|0", - "metro1/pop2/leafA/leafA3|metro1/pop2/leafB/leafB3|0", "metro1/pop1/leafA/leafA2|metro1/pop1/leafA/leafA3|0", - "metro1/pop1/leafC/leafC3|metro1/pop1/leafC/leafC4|0" + "metro1/pop1/leafC/leafC3|metro1/pop1/leafC/leafC4|0", + "metro2/pop1/leafD/leafD1|metro2/pop1/leafD/leafD4|0", + "metro1/pop2/leafA/leafA3|metro1/pop2/leafB/leafB3|0" ] }, "failure_trace": null, @@ -39855,8 +39855,8 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro2/pop1/leafC/leafC1|metro2/dc1/dc/dc|0", "metro2/pop2/leafA/leafA3|metro2/dc1/dc/dc|0", + "metro2/pop1/leafC/leafC1|metro2/dc1/dc/dc|0", "metro5/pop2/leafA/leafA2|metro5/dc1/dc/dc|0" ] }, @@ -40077,9 +40077,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ + "metro5/pop1/leafD/leafD3|metro5/pop1/leafD/leafD4|0", "metro5/pop1/leafB/leafB4|metro5/pop1/leafC/leafC4|0", "metro2/pop2/leafB/leafB2|metro2/pop2/leafB/leafB3|0", - "metro5/pop1/leafD/leafD3|metro5/pop1/leafD/leafD4|0", "metro2/pop1/leafD/leafD1|metro2/pop1/leafD/leafD2|0" ] }, @@ -40179,9 +40179,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ + "metro5/pop2/leafD/leafD3|metro5/dc1/dc/dc|0", "metro5/pop2/leafB/leafB3|metro5/dc1/dc/dc|0", - "metro5/pop2/leafC/leafC1|metro5/dc1/dc/dc|0", - "metro5/pop2/leafD/leafD3|metro5/dc1/dc/dc|0" + "metro5/pop2/leafC/leafC1|metro5/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -40285,8 +40285,8 @@ "excluded_nodes": [], "excluded_links": [ "metro5/pop2/leafB/leafB4|metro5/dc1/dc/dc|0", - "metro5/pop1/leafA/leafA3|metro5/dc1/dc/dc|0", - "metro5/pop1/leafB/leafB1|metro5/dc1/dc/dc|0" + "metro5/pop1/leafB/leafB1|metro5/dc1/dc/dc|0", + "metro5/pop1/leafA/leafA3|metro5/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -40393,9 +40393,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro1/pop1/leafD/leafD2|metro1/dc1/dc/dc|0", "metro2/pop2/leafA/leafA2|metro2/dc1/dc/dc|0", - "metro5/pop2/leafD/leafD3|metro5/dc1/dc/dc|0" + "metro5/pop2/leafD/leafD3|metro5/dc1/dc/dc|0", + "metro1/pop1/leafD/leafD2|metro1/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -40504,9 +40504,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro2/pop1/leafC/leafC1|metro2/dc1/dc/dc|0", + "metro1/pop1/leafD/leafD1|metro1/dc1/dc/dc|0", "metro2/pop2/leafD/leafD2|metro2/dc1/dc/dc|0", - "metro1/pop1/leafD/leafD1|metro1/dc1/dc/dc|0" + "metro2/pop1/leafC/leafC1|metro2/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -40615,9 +40615,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ + "metro2/pop2/leafA/leafA4|metro2/dc1/dc/dc|0", "metro5/pop2/leafA/leafA3|metro5/dc1/dc/dc|0", - "metro5/pop2/leafC/leafC1|metro5/dc1/dc/dc|0", - "metro2/pop2/leafA/leafA4|metro2/dc1/dc/dc|0" + "metro5/pop2/leafC/leafC1|metro5/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -40722,9 +40722,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro1/pop2/leafC/leafC4|metro1/dc1/dc/dc|0", + "metro5/pop2/leafB/leafB3|metro5/dc1/dc/dc|0", "metro5/pop1/leafD/leafD4|metro5/dc1/dc/dc|0", - "metro5/pop2/leafB/leafB3|metro5/dc1/dc/dc|0" + "metro1/pop2/leafC/leafC4|metro1/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -40833,9 +40833,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ + "metro5/pop2/leafD/leafD3|metro5/dc1/dc/dc|0", "metro5/pop2/leafB/leafB4|metro5/dc1/dc/dc|0", - "metro2/pop2/leafC/leafC4|metro2/dc1/dc/dc|0", - "metro5/pop2/leafD/leafD3|metro5/dc1/dc/dc|0" + "metro2/pop2/leafC/leafC4|metro2/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -40940,8 +40940,8 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro5/pop1/leafA/leafA4|metro5/dc1/dc/dc|0", "metro2/pop2/leafD/leafD2|metro2/dc1/dc/dc|0", + "metro5/pop1/leafA/leafA4|metro5/dc1/dc/dc|0", "metro5/pop2/leafA/leafA1|metro5/dc1/dc/dc|0" ] }, @@ -41051,9 +41051,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro5/pop1/leafA/leafA3|metro5/dc1/dc/dc|0", + "metro1/pop2/leafA/leafA1|metro1/dc1/dc/dc|0", "metro2/pop2/leafC/leafC3|metro2/dc1/dc/dc|0", - "metro1/pop2/leafA/leafA1|metro1/dc1/dc/dc|0" + "metro5/pop1/leafA/leafA3|metro5/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -41163,8 +41163,8 @@ "excluded_nodes": [], "excluded_links": [ "metro2/pop2/leafC/leafC3|metro2/pop2/leafC/leafC4|0", - "metro5/pop2/leafD/leafD1|metro5/pop2/leafD/leafD3|0", "metro5/pop2/leafA/leafA1|metro5/pop2/leafA/leafA3|0", + "metro5/pop2/leafD/leafD1|metro5/pop2/leafD/leafD3|0", "metro1/pop1/leafD/leafD1|metro1/pop1/leafD/leafD2|0" ] }, @@ -41264,9 +41264,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro1/pop1/leafC/leafC2|metro1/dc1/dc/dc|0", + "metro1/pop1/leafC/leafC3|metro1/dc1/dc/dc|0", "metro5/pop2/leafC/leafC4|metro5/dc1/dc/dc|0", - "metro1/pop1/leafC/leafC3|metro1/dc1/dc/dc|0" + "metro1/pop1/leafC/leafC2|metro1/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -41479,8 +41479,8 @@ "excluded_nodes": [], "excluded_links": [ "metro2/pop2/leafB/leafB2|metro2/dc1/dc/dc|0", - "metro5/pop1/leafB/leafB4|metro5/dc1/dc/dc|0", - "metro2/pop2/leafC/leafC4|metro2/dc1/dc/dc|0" + "metro2/pop2/leafC/leafC4|metro2/dc1/dc/dc|0", + "metro5/pop1/leafB/leafB4|metro5/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -41588,8 +41588,8 @@ "excluded_nodes": [], "excluded_links": [ "metro2/pop1/leafA/leafA2|metro2/dc1/dc/dc|0", - "metro2/pop1/leafC/leafC2|metro2/dc1/dc/dc|0", - "metro2/pop1/leafB/leafB3|metro2/dc1/dc/dc|0" + "metro2/pop1/leafB/leafB3|metro2/dc1/dc/dc|0", + "metro2/pop1/leafC/leafC2|metro2/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -41795,10 +41795,10 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ + "metro2/pop2/leafB/leafB2|metro2/pop2/leafB/leafB4|0", "metro2/pop2/leafA/leafA4|metro2/pop2/leafD/leafD4|0", "metro2/pop1/leafC/leafC1|metro2/pop1/leafD/leafD1|0", - "metro2/pop1/leafC/leafC2|metro2/pop1/leafC/leafC4|0", - "metro2/pop2/leafB/leafB2|metro2/pop2/leafB/leafB4|0" + "metro2/pop1/leafC/leafC2|metro2/pop1/leafC/leafC4|0" ] }, "failure_trace": null, @@ -41897,9 +41897,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro5/pop2/leafA/leafA4|metro5/dc1/dc/dc|0", "metro5/pop1/leafC/leafC3|metro5/dc1/dc/dc|0", - "metro2/pop1/leafA/leafA1|metro2/dc1/dc/dc|0" + "metro2/pop1/leafA/leafA1|metro2/dc1/dc/dc|0", + "metro5/pop2/leafA/leafA4|metro5/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -42009,8 +42009,8 @@ "excluded_nodes": [], "excluded_links": [ "metro1/pop1/leafA/leafA1|metro1/dc1/dc/dc|0", - "metro5/pop1/leafA/leafA2|metro5/dc1/dc/dc|0", - "metro1/pop2/leafA/leafA4|metro1/dc1/dc/dc|0" + "metro1/pop2/leafA/leafA4|metro1/dc1/dc/dc|0", + "metro5/pop1/leafA/leafA2|metro5/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -42230,10 +42230,10 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro1/pop2/leafA/leafA2|metro1/pop2/leafB/leafB2|0", - "metro1/pop1/leafC/leafC1|metro1/pop1/leafD/leafD1|0", + "metro5/pop2/leafD/leafD1|metro5/pop2/leafD/leafD4|0", "metro2/pop1/leafA/leafA3|metro2/pop1/leafB/leafB3|0", - "metro5/pop2/leafD/leafD1|metro5/pop2/leafD/leafD4|0" + "metro1/pop2/leafA/leafA2|metro1/pop2/leafB/leafB2|0", + "metro1/pop1/leafC/leafC1|metro1/pop1/leafD/leafD1|0" ] }, "failure_trace": null, @@ -42641,9 +42641,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ + "metro5/pop2/leafC/leafC2|metro5/dc1/dc/dc|0", "metro2/pop2/leafB/leafB3|metro2/dc1/dc/dc|0", - "metro2/pop1/leafB/leafB2|metro2/dc1/dc/dc|0", - "metro5/pop2/leafC/leafC2|metro5/dc1/dc/dc|0" + "metro2/pop1/leafB/leafB2|metro2/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -42752,9 +42752,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ + "metro2/pop1/leafA/leafA3|metro2/dc1/dc/dc|0", "metro2/pop2/leafA/leafA3|metro2/dc1/dc/dc|0", - "metro1/pop1/leafB/leafB1|metro1/dc1/dc/dc|0", - "metro2/pop1/leafA/leafA3|metro2/dc1/dc/dc|0" + "metro1/pop1/leafB/leafB1|metro1/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -42864,8 +42864,8 @@ "excluded_nodes": [], "excluded_links": [ "metro5/pop1/leafC/leafC3|metro5/dc1/dc/dc|0", - "metro1/pop1/leafC/leafC4|metro1/dc1/dc/dc|0", - "metro5/pop2/leafD/leafD3|metro5/dc1/dc/dc|0" + "metro5/pop2/leafD/leafD3|metro5/dc1/dc/dc|0", + "metro1/pop1/leafC/leafC4|metro1/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -42974,9 +42974,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ + "metro5/pop1/leafC/leafC2|metro5/dc1/dc/dc|0", "metro5/pop1/leafD/leafD4|metro5/dc1/dc/dc|0", - "metro5/pop2/leafC/leafC1|metro5/dc1/dc/dc|0", - "metro5/pop1/leafC/leafC2|metro5/dc1/dc/dc|0" + "metro5/pop2/leafC/leafC1|metro5/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -43185,9 +43185,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ + "metro2/pop1/leafD/leafD3|metro2/dc1/dc/dc|0", "metro2/pop2/leafB/leafB1|metro2/dc1/dc/dc|0", - "metro2/pop1/leafC/leafC2|metro2/dc1/dc/dc|0", - "metro2/pop1/leafD/leafD3|metro2/dc1/dc/dc|0" + "metro2/pop1/leafC/leafC2|metro2/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -43294,9 +43294,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro2/pop1/leafC/leafC1|metro2/dc1/dc/dc|0", + "metro5/pop1/leafD/leafD2|metro5/dc1/dc/dc|0", "metro2/pop1/leafC/leafC2|metro2/dc1/dc/dc|0", - "metro5/pop1/leafD/leafD2|metro5/dc1/dc/dc|0" + "metro2/pop1/leafC/leafC1|metro2/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -43402,8 +43402,8 @@ "excluded_nodes": [], "excluded_links": [ "metro2/pop2/leafD/leafD1|metro2/dc1/dc/dc|0", - "metro1/pop1/leafC/leafC2|metro1/dc1/dc/dc|0", - "metro2/pop2/leafC/leafC1|metro2/dc1/dc/dc|0" + "metro2/pop2/leafC/leafC1|metro2/dc1/dc/dc|0", + "metro1/pop1/leafC/leafC2|metro1/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -43732,9 +43732,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ + "metro2/pop1/leafB/leafB3|metro2/dc1/dc/dc|0", "metro5/pop2/leafA/leafA3|metro5/dc1/dc/dc|0", - "metro5/pop1/leafB/leafB4|metro5/dc1/dc/dc|0", - "metro2/pop1/leafB/leafB3|metro2/dc1/dc/dc|0" + "metro5/pop1/leafB/leafB4|metro5/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -43954,8 +43954,8 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro1/pop2/leafC/leafC4|metro1/dc1/dc/dc|0", "metro2/pop1/leafC/leafC2|metro2/dc1/dc/dc|0", + "metro1/pop2/leafC/leafC4|metro1/dc1/dc/dc|0", "metro2/pop1/leafB/leafB2|metro2/dc1/dc/dc|0" ] }, @@ -44167,9 +44167,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ + "metro1/pop2/leafB/leafB1|metro1/dc1/dc/dc|0", "metro5/pop2/leafA/leafA2|metro5/dc1/dc/dc|0", - "metro1/pop1/leafA/leafA2|metro1/dc1/dc/dc|0", - "metro1/pop2/leafB/leafB1|metro1/dc1/dc/dc|0" + "metro1/pop1/leafA/leafA2|metro1/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -44387,9 +44387,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro5/pop2/leafA/leafA3|metro5/dc1/dc/dc|0", + "metro5/pop2/leafC/leafC2|metro5/dc1/dc/dc|0", "metro2/pop1/leafB/leafB2|metro2/dc1/dc/dc|0", - "metro5/pop2/leafC/leafC2|metro5/dc1/dc/dc|0" + "metro5/pop2/leafA/leafA3|metro5/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -44603,10 +44603,10 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro2/pop2/leafA/leafA1|metro2/pop2/leafA/leafA2|0", "metro1/pop2/leafC/leafC1|metro1/pop2/leafC/leafC4|0", - "metro2/pop2/leafA/leafA2|metro2/pop2/leafD/leafD2|0", - "metro2/pop1/leafC/leafC4|metro2/pop1/leafD/leafD4|0" + "metro2/pop1/leafC/leafC4|metro2/pop1/leafD/leafD4|0", + "metro2/pop2/leafA/leafA1|metro2/pop2/leafA/leafA2|0", + "metro2/pop2/leafA/leafA2|metro2/pop2/leafD/leafD2|0" ] }, "failure_trace": null, @@ -44812,9 +44812,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro5/pop2/leafC/leafC1|metro5/dc1/dc/dc|0", "metro2/pop1/leafA/leafA1|metro2/dc1/dc/dc|0", - "metro5/pop1/leafA/leafA3|metro5/dc1/dc/dc|0" + "metro5/pop1/leafA/leafA3|metro5/dc1/dc/dc|0", + "metro5/pop2/leafC/leafC1|metro5/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -44923,9 +44923,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro1/pop1/leafC/leafC1|metro1/dc1/dc/dc|0", + "metro5/pop2/leafC/leafC2|metro5/dc1/dc/dc|0", "metro2/pop2/leafC/leafC1|metro2/dc1/dc/dc|0", - "metro5/pop2/leafC/leafC2|metro5/dc1/dc/dc|0" + "metro1/pop1/leafC/leafC1|metro1/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -45034,8 +45034,8 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro2/pop1/leafC/leafC3|metro2/dc1/dc/dc|0", "metro5/pop1/leafC/leafC3|metro5/dc1/dc/dc|0", + "metro2/pop1/leafC/leafC3|metro2/dc1/dc/dc|0", "metro5/pop2/leafC/leafC4|metro5/dc1/dc/dc|0" ] }, @@ -45145,10 +45145,10 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro5/pop2/leafA/leafA4|metro5/pop2/leafD/leafD4|0", - "metro5/pop1/leafC/leafC1|metro5/pop1/leafD/leafD1|0", + "metro1/pop1/leafD/leafD1|metro1/pop1/leafD/leafD3|0", "metro1/pop2/leafB/leafB3|metro1/pop2/leafB/leafB4|0", - "metro1/pop1/leafD/leafD1|metro1/pop1/leafD/leafD3|0" + "metro5/pop1/leafC/leafC1|metro5/pop1/leafD/leafD1|0", + "metro5/pop2/leafA/leafA4|metro5/pop2/leafD/leafD4|0" ] }, "failure_trace": null, @@ -45248,9 +45248,9 @@ "excluded_nodes": [], "excluded_links": [ "metro2/pop1/leafB/leafB2|metro2/pop1/leafB/leafB3|0", + "metro5/pop2/leafA/leafA3|metro5/pop2/leafD/leafD3|0", "metro5/pop1/leafC/leafC1|metro5/pop1/leafD/leafD1|0", - "metro5/pop2/leafD/leafD2|metro5/pop2/leafD/leafD3|0", - "metro5/pop2/leafA/leafA3|metro5/pop2/leafD/leafD3|0" + "metro5/pop2/leafD/leafD2|metro5/pop2/leafD/leafD3|0" ] }, "failure_trace": null, @@ -45458,10 +45458,10 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro1/pop1/leafA/leafA2|metro1/pop1/leafD/leafD2|0", - "metro1/pop2/leafA/leafA3|metro1/pop2/leafB/leafB3|0", + "metro1/pop2/leafA/leafA1|metro1/pop2/leafD/leafD1|0", "metro5/pop2/leafC/leafC1|metro5/pop2/leafC/leafC4|0", - "metro1/pop2/leafA/leafA1|metro1/pop2/leafD/leafD1|0" + "metro1/pop2/leafA/leafA3|metro1/pop2/leafB/leafB3|0", + "metro1/pop1/leafA/leafA2|metro1/pop1/leafD/leafD2|0" ] }, "failure_trace": null, @@ -45560,8 +45560,8 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro5/pop2/leafD/leafD4|metro5/dc1/dc/dc|0", "metro1/pop2/leafC/leafC3|metro1/dc1/dc/dc|0", + "metro5/pop2/leafD/leafD4|metro5/dc1/dc/dc|0", "metro5/pop2/leafA/leafA1|metro5/dc1/dc/dc|0" ] }, @@ -45669,9 +45669,9 @@ "excluded_nodes": [], "excluded_links": [ "metro5/pop1/leafB/leafB1|metro5/pop1/leafB/leafB3|0", - "metro2/pop1/leafB/leafB4|metro2/pop1/leafC/leafC4|0", "metro2/pop2/leafD/leafD2|metro2/pop2/leafD/leafD4|0", - "metro5/pop1/leafD/leafD2|metro5/pop1/leafD/leafD4|0" + "metro5/pop1/leafD/leafD2|metro5/pop1/leafD/leafD4|0", + "metro2/pop1/leafB/leafB4|metro2/pop1/leafC/leafC4|0" ] }, "failure_trace": null, @@ -45770,9 +45770,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro5/pop1/leafA/leafA1|metro5/dc1/dc/dc|0", "metro1/pop1/leafD/leafD1|metro1/dc1/dc/dc|0", - "metro5/pop2/leafD/leafD4|metro5/dc1/dc/dc|0" + "metro5/pop2/leafD/leafD4|metro5/dc1/dc/dc|0", + "metro5/pop1/leafA/leafA1|metro5/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -45883,9 +45883,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ + "metro2/pop1/leafB/leafB3|metro2/dc1/dc/dc|0", "metro5/pop1/leafC/leafC1|metro5/dc1/dc/dc|0", - "metro2/pop2/leafC/leafC2|metro2/dc1/dc/dc|0", - "metro2/pop1/leafB/leafB3|metro2/dc1/dc/dc|0" + "metro2/pop2/leafC/leafC2|metro2/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -45994,9 +45994,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro2/pop1/leafC/leafC1|metro2/dc1/dc/dc|0", + "metro2/pop2/leafD/leafD2|metro2/dc1/dc/dc|0", "metro2/pop1/leafC/leafC3|metro2/dc1/dc/dc|0", - "metro2/pop2/leafD/leafD2|metro2/dc1/dc/dc|0" + "metro2/pop1/leafC/leafC1|metro2/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -46103,9 +46103,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro5/pop1/leafA/leafA2|metro5/dc1/dc/dc|0", + "metro5/pop1/leafB/leafB3|metro5/dc1/dc/dc|0", "metro2/pop2/leafB/leafB2|metro2/dc1/dc/dc|0", - "metro5/pop1/leafB/leafB3|metro5/dc1/dc/dc|0" + "metro5/pop1/leafA/leafA2|metro5/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -46212,9 +46212,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro5/pop2/leafB/leafB1|metro5/dc1/dc/dc|0", "metro1/pop1/leafC/leafC4|metro1/dc1/dc/dc|0", - "metro2/pop1/leafC/leafC4|metro2/dc1/dc/dc|0" + "metro2/pop1/leafC/leafC4|metro2/dc1/dc/dc|0", + "metro5/pop2/leafB/leafB1|metro5/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -46323,10 +46323,10 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ + "metro5/pop2/leafC/leafC2|metro5/pop2/leafC/leafC3|0", "metro5/pop2/leafA/leafA3|metro5/pop2/leafB/leafB3|0", "metro1/pop2/leafC/leafC1|metro1/pop2/leafC/leafC3|0", - "metro5/pop2/leafD/leafD2|metro5/pop2/leafD/leafD4|0", - "metro5/pop2/leafC/leafC2|metro5/pop2/leafC/leafC3|0" + "metro5/pop2/leafD/leafD2|metro5/pop2/leafD/leafD4|0" ] }, "failure_trace": null, @@ -46425,9 +46425,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro1/pop1/leafC/leafC1|metro1/dc1/dc/dc|0", "metro2/pop2/leafC/leafC2|metro2/dc1/dc/dc|0", - "metro5/pop1/leafB/leafB4|metro5/dc1/dc/dc|0" + "metro5/pop1/leafB/leafB4|metro5/dc1/dc/dc|0", + "metro1/pop1/leafC/leafC1|metro1/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -46536,9 +46536,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro2/pop1/leafC/leafC1|metro2/dc1/dc/dc|0", "metro1/pop2/leafC/leafC1|metro1/dc1/dc/dc|0", - "metro5/pop2/leafD/leafD3|metro5/dc1/dc/dc|0" + "metro5/pop2/leafD/leafD3|metro5/dc1/dc/dc|0", + "metro2/pop1/leafC/leafC1|metro2/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -46648,8 +46648,8 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro2/pop2/leafA/leafA3|metro2/dc1/dc/dc|0", "metro2/pop1/leafD/leafD2|metro2/dc1/dc/dc|0", + "metro2/pop2/leafA/leafA3|metro2/dc1/dc/dc|0", "metro2/pop1/leafB/leafB3|metro2/dc1/dc/dc|0" ] }, @@ -46757,8 +46757,8 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro1/pop1/leafD/leafD2|metro1/dc1/dc/dc|0", "metro2/pop1/leafA/leafA2|metro2/dc1/dc/dc|0", + "metro1/pop1/leafD/leafD2|metro1/dc1/dc/dc|0", "metro5/pop2/leafA/leafA1|metro5/dc1/dc/dc|0" ] }, @@ -46979,9 +46979,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro1/pop1/leafB/leafB3|metro1/dc1/dc/dc|0", + "metro1/pop2/leafC/leafC2|metro1/dc1/dc/dc|0", "metro2/pop2/leafB/leafB4|metro2/dc1/dc/dc|0", - "metro1/pop2/leafC/leafC2|metro1/dc1/dc/dc|0" + "metro1/pop1/leafB/leafB3|metro1/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -47090,9 +47090,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ + "metro2/pop1/leafB/leafB4|metro2/dc1/dc/dc|0", "metro5/pop1/leafC/leafC1|metro5/dc1/dc/dc|0", - "metro1/pop1/leafA/leafA2|metro1/dc1/dc/dc|0", - "metro2/pop1/leafB/leafB4|metro2/dc1/dc/dc|0" + "metro1/pop1/leafA/leafA2|metro1/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -47197,9 +47197,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro5/pop2/leafA/leafA2|metro5/pop2/leafA/leafA4|0", - "metro5/pop1/leafC/leafC2|metro5/pop1/leafD/leafD2|0", "metro5/pop1/leafC/leafC3|metro5/pop1/leafC/leafC4|0", + "metro5/pop1/leafC/leafC2|metro5/pop1/leafD/leafD2|0", + "metro5/pop2/leafA/leafA2|metro5/pop2/leafA/leafA4|0", "metro5/pop2/leafA/leafA1|metro5/pop2/leafA/leafA2|0" ] }, @@ -47403,9 +47403,9 @@ "excluded_nodes": [], "excluded_links": [ "metro1/pop2/leafA/leafA1|metro1/pop2/leafD/leafD1|0", - "metro5/pop2/leafD/leafD3|metro5/pop2/leafD/leafD4|0", + "metro2/pop2/leafA/leafA2|metro2/pop2/leafA/leafA4|0", "metro5/pop2/leafA/leafA2|metro5/pop2/leafD/leafD2|0", - "metro2/pop2/leafA/leafA2|metro2/pop2/leafA/leafA4|0" + "metro5/pop2/leafD/leafD3|metro5/pop2/leafD/leafD4|0" ] }, "failure_trace": null, @@ -47505,8 +47505,8 @@ "excluded_nodes": [], "excluded_links": [ "metro1/pop1/leafB/leafB3|metro1/dc1/dc/dc|0", - "metro2/pop1/leafC/leafC1|metro2/dc1/dc/dc|0", - "metro2/pop2/leafD/leafD2|metro2/dc1/dc/dc|0" + "metro2/pop2/leafD/leafD2|metro2/dc1/dc/dc|0", + "metro2/pop1/leafC/leafC1|metro2/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -47615,9 +47615,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ + "metro1/pop2/leafA/leafA1|metro1/dc1/dc/dc|0", "metro2/pop1/leafD/leafD2|metro2/dc1/dc/dc|0", - "metro2/pop2/leafD/leafD4|metro2/dc1/dc/dc|0", - "metro1/pop2/leafA/leafA1|metro1/dc1/dc/dc|0" + "metro2/pop2/leafD/leafD4|metro2/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -47728,8 +47728,8 @@ "excluded_nodes": [], "excluded_links": [ "metro1/pop2/leafD/leafD4|metro1/dc1/dc/dc|0", - "metro2/pop2/leafC/leafC2|metro2/dc1/dc/dc|0", - "metro5/pop2/leafC/leafC3|metro5/dc1/dc/dc|0" + "metro5/pop2/leafC/leafC3|metro5/dc1/dc/dc|0", + "metro2/pop2/leafC/leafC2|metro2/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -47944,8 +47944,8 @@ "excluded_nodes": [], "excluded_links": [ "metro2/pop1/leafD/leafD3|metro2/dc1/dc/dc|0", - "metro5/pop2/leafC/leafC4|metro5/dc1/dc/dc|0", - "metro2/pop2/leafC/leafC4|metro2/dc1/dc/dc|0" + "metro2/pop2/leafC/leafC4|metro2/dc1/dc/dc|0", + "metro5/pop2/leafC/leafC4|metro5/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -48054,9 +48054,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro5/pop2/leafC/leafC1|metro5/dc1/dc/dc|0", + "metro2/pop1/leafB/leafB3|metro2/dc1/dc/dc|0", "metro2/pop2/leafB/leafB2|metro2/dc1/dc/dc|0", - "metro2/pop1/leafB/leafB3|metro2/dc1/dc/dc|0" + "metro5/pop2/leafC/leafC1|metro5/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -48165,10 +48165,10 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro1/pop2/leafA/leafA3|metro1/pop2/leafA/leafA4|0", "metro2/pop2/leafB/leafB2|metro2/pop2/leafB/leafB4|0", + "metro1/pop1/leafA/leafA1|metro1/pop1/leafD/leafD1|0", "metro5/pop2/leafA/leafA2|metro5/pop2/leafA/leafA3|0", - "metro1/pop1/leafA/leafA1|metro1/pop1/leafD/leafD1|0" + "metro1/pop2/leafA/leafA3|metro1/pop2/leafA/leafA4|0" ] }, "failure_trace": null, @@ -48267,9 +48267,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ + "metro1/pop1/leafD/leafD2|metro1/dc1/dc/dc|0", "metro5/pop1/leafD/leafD3|metro5/dc1/dc/dc|0", - "metro2/pop1/leafA/leafA4|metro2/dc1/dc/dc|0", - "metro1/pop1/leafD/leafD2|metro1/dc1/dc/dc|0" + "metro2/pop1/leafA/leafA4|metro2/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -48374,10 +48374,10 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ + "metro2/pop1/leafA/leafA2|metro2/pop1/leafB/leafB2|0", "metro2/pop2/leafC/leafC1|metro2/pop2/leafC/leafC4|0", "metro1/pop2/leafD/leafD2|metro1/pop2/leafD/leafD4|0", - "metro5/pop1/leafA/leafA2|metro5/pop1/leafB/leafB2|0", - "metro2/pop1/leafA/leafA2|metro2/pop1/leafB/leafB2|0" + "metro5/pop1/leafA/leafA2|metro5/pop1/leafB/leafB2|0" ] }, "failure_trace": null, @@ -48808,10 +48808,10 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro1/pop1/leafA/leafA3|metro1/pop1/leafD/leafD3|0", - "metro2/pop1/leafA/leafA4|metro2/pop1/leafD/leafD4|0", "metro5/pop1/leafB/leafB2|metro5/pop1/leafB/leafB3|0", - "metro1/pop1/leafC/leafC3|metro1/pop1/leafC/leafC4|0" + "metro1/pop1/leafA/leafA3|metro1/pop1/leafD/leafD3|0", + "metro1/pop1/leafC/leafC3|metro1/pop1/leafC/leafC4|0", + "metro2/pop1/leafA/leafA4|metro2/pop1/leafD/leafD4|0" ] }, "failure_trace": null, @@ -48910,9 +48910,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro5/pop1/leafB/leafB4|metro5/dc1/dc/dc|0", + "metro5/pop2/leafC/leafC2|metro5/dc1/dc/dc|0", "metro5/pop1/leafC/leafC4|metro5/dc1/dc/dc|0", - "metro5/pop2/leafC/leafC2|metro5/dc1/dc/dc|0" + "metro5/pop1/leafB/leafB4|metro5/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -49020,8 +49020,8 @@ "excluded_nodes": [], "excluded_links": [ "metro1/pop2/leafD/leafD4|metro1/dc1/dc/dc|0", - "metro5/pop1/leafA/leafA1|metro5/dc1/dc/dc|0", - "metro2/pop1/leafC/leafC4|metro2/dc1/dc/dc|0" + "metro2/pop1/leafC/leafC4|metro2/dc1/dc/dc|0", + "metro5/pop1/leafA/leafA1|metro5/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -49130,9 +49130,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ + "metro1/pop2/leafB/leafB4|metro1/dc1/dc/dc|0", "metro5/pop1/leafD/leafD4|metro5/dc1/dc/dc|0", - "metro1/pop2/leafB/leafB2|metro1/dc1/dc/dc|0", - "metro1/pop2/leafB/leafB4|metro1/dc1/dc/dc|0" + "metro1/pop2/leafB/leafB2|metro1/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -49239,9 +49239,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ + "metro5/pop1/leafB/leafB1|metro5/dc1/dc/dc|0", "metro5/pop2/leafB/leafB2|metro5/dc1/dc/dc|0", - "metro2/pop1/leafA/leafA4|metro2/dc1/dc/dc|0", - "metro5/pop1/leafB/leafB1|metro5/dc1/dc/dc|0" + "metro2/pop1/leafA/leafA4|metro2/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -49350,8 +49350,8 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro5/pop1/leafA/leafA4|metro5/dc1/dc/dc|0", "metro1/pop1/leafD/leafD1|metro1/dc1/dc/dc|0", + "metro5/pop1/leafA/leafA4|metro5/dc1/dc/dc|0", "metro2/pop1/leafB/leafB2|metro2/dc1/dc/dc|0" ] }, @@ -49457,9 +49457,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro2/pop1/leafC/leafC1|metro2/dc1/dc/dc|0", "metro2/pop2/leafC/leafC2|metro2/dc1/dc/dc|0", - "metro2/pop1/leafA/leafA3|metro2/dc1/dc/dc|0" + "metro2/pop1/leafA/leafA3|metro2/dc1/dc/dc|0", + "metro2/pop1/leafC/leafC1|metro2/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -49567,8 +49567,8 @@ "excluded_nodes": [], "excluded_links": [ "metro1/pop1/leafB/leafB3|metro1/dc1/dc/dc|0", - "metro2/pop1/leafA/leafA2|metro2/dc1/dc/dc|0", - "metro2/pop2/leafA/leafA2|metro2/dc1/dc/dc|0" + "metro2/pop2/leafA/leafA2|metro2/dc1/dc/dc|0", + "metro2/pop1/leafA/leafA2|metro2/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -49677,8 +49677,8 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro2/pop2/leafA/leafA2|metro2/pop2/leafA/leafA4|0", "metro1/pop2/leafA/leafA1|metro1/pop2/leafA/leafA2|0", + "metro2/pop2/leafA/leafA2|metro2/pop2/leafA/leafA4|0", "metro2/pop1/leafA/leafA1|metro2/pop1/leafD/leafD1|0", "metro5/pop1/leafB/leafB3|metro5/pop1/leafC/leafC3|0" ] @@ -49891,8 +49891,8 @@ "excluded_nodes": [], "excluded_links": [ "metro2/pop1/leafD/leafD4|metro2/dc1/dc/dc|0", - "metro5/pop1/leafC/leafC2|metro5/dc1/dc/dc|0", - "metro2/pop1/leafB/leafB2|metro2/dc1/dc/dc|0" + "metro2/pop1/leafB/leafB2|metro2/dc1/dc/dc|0", + "metro5/pop1/leafC/leafC2|metro5/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -49997,8 +49997,8 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro1/pop2/leafD/leafD1|metro1/dc1/dc/dc|0", "metro2/pop2/leafA/leafA3|metro2/dc1/dc/dc|0", + "metro1/pop2/leafD/leafD1|metro1/dc1/dc/dc|0", "metro5/pop1/leafB/leafB2|metro5/dc1/dc/dc|0" ] }, @@ -50109,8 +50109,8 @@ "excluded_nodes": [], "excluded_links": [ "metro2/pop1/leafC/leafC3|metro2/dc1/dc/dc|0", - "metro5/pop2/leafA/leafA3|metro5/dc1/dc/dc|0", - "metro5/pop2/leafD/leafD4|metro5/dc1/dc/dc|0" + "metro5/pop2/leafD/leafD4|metro5/dc1/dc/dc|0", + "metro5/pop2/leafA/leafA3|metro5/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -50328,9 +50328,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro2/pop2/leafD/leafD1|metro2/dc1/dc/dc|0", "metro1/pop1/leafC/leafC3|metro1/dc1/dc/dc|0", - "metro5/pop2/leafC/leafC2|metro5/dc1/dc/dc|0" + "metro5/pop2/leafC/leafC2|metro5/dc1/dc/dc|0", + "metro2/pop2/leafD/leafD1|metro2/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -50440,9 +50440,9 @@ "excluded_nodes": [], "excluded_links": [ "metro2/pop2/leafA/leafA2|metro2/pop2/leafA/leafA3|0", - "metro2/pop1/leafC/leafC3|metro2/pop1/leafD/leafD3|0", + "metro1/pop1/leafA/leafA2|metro1/pop1/leafA/leafA4|0", "metro2/pop1/leafA/leafA2|metro2/pop1/leafD/leafD2|0", - "metro1/pop1/leafA/leafA2|metro1/pop1/leafA/leafA4|0" + "metro2/pop1/leafC/leafC3|metro2/pop1/leafD/leafD3|0" ] }, "failure_trace": null, @@ -50541,10 +50541,10 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro1/pop1/leafA/leafA1|metro1/pop1/leafA/leafA2|0", "metro5/pop1/leafB/leafB2|metro5/pop1/leafB/leafB4|0", - "metro2/pop1/leafC/leafC2|metro2/pop1/leafC/leafC4|0", - "metro2/pop1/leafC/leafC4|metro2/pop1/leafD/leafD4|0" + "metro2/pop1/leafC/leafC4|metro2/pop1/leafD/leafD4|0", + "metro1/pop1/leafA/leafA1|metro1/pop1/leafA/leafA2|0", + "metro2/pop1/leafC/leafC2|metro2/pop1/leafC/leafC4|0" ] }, "failure_trace": null, @@ -50643,9 +50643,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro1/pop2/leafB/leafB2|metro1/dc1/dc/dc|0", + "metro1/pop1/leafB/leafB1|metro1/dc1/dc/dc|0", "metro1/pop1/leafC/leafC2|metro1/dc1/dc/dc|0", - "metro1/pop1/leafB/leafB1|metro1/dc1/dc/dc|0" + "metro1/pop2/leafB/leafB2|metro1/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -51183,8 +51183,8 @@ "excluded_nodes": [], "excluded_links": [ "metro2/pop1/leafC/leafC2|metro2/dc1/dc/dc|0", - "metro5/pop2/leafB/leafB1|metro5/dc1/dc/dc|0", - "metro5/pop2/leafC/leafC3|metro5/dc1/dc/dc|0" + "metro5/pop2/leafC/leafC3|metro5/dc1/dc/dc|0", + "metro5/pop2/leafB/leafB1|metro5/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -51291,9 +51291,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro2/pop2/leafA/leafA1|metro2/dc1/dc/dc|0", + "metro1/pop1/leafA/leafA3|metro1/dc1/dc/dc|0", "metro2/pop1/leafD/leafD2|metro2/dc1/dc/dc|0", - "metro1/pop1/leafA/leafA3|metro1/dc1/dc/dc|0" + "metro2/pop2/leafA/leafA1|metro2/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -51510,9 +51510,9 @@ "excluded_nodes": [], "excluded_links": [ "metro1/pop1/leafB/leafB1|metro1/pop1/leafB/leafB2|0", + "metro2/pop1/leafA/leafA1|metro2/pop1/leafD/leafD1|0", "metro5/pop1/leafD/leafD2|metro5/pop1/leafD/leafD4|0", - "metro2/pop2/leafC/leafC4|metro2/pop2/leafD/leafD4|0", - "metro2/pop1/leafA/leafA1|metro2/pop1/leafD/leafD1|0" + "metro2/pop2/leafC/leafC4|metro2/pop2/leafD/leafD4|0" ] }, "failure_trace": null, @@ -51611,9 +51611,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro5/pop1/leafD/leafD1|metro5/dc1/dc/dc|0", "metro1/pop2/leafB/leafB3|metro1/dc1/dc/dc|0", - "metro2/pop2/leafC/leafC1|metro2/dc1/dc/dc|0" + "metro2/pop2/leafC/leafC1|metro2/dc1/dc/dc|0", + "metro5/pop1/leafD/leafD1|metro5/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -51722,9 +51722,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro1/pop2/leafD/leafD3|metro1/dc1/dc/dc|0", + "metro5/pop2/leafC/leafC4|metro5/dc1/dc/dc|0", "metro5/pop2/leafA/leafA2|metro5/dc1/dc/dc|0", - "metro5/pop2/leafC/leafC4|metro5/dc1/dc/dc|0" + "metro1/pop2/leafD/leafD3|metro1/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -51830,9 +51830,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro1/pop1/leafD/leafD4|metro1/dc1/dc/dc|0", "metro2/pop1/leafB/leafB1|metro2/dc1/dc/dc|0", - "metro5/pop1/leafB/leafB3|metro5/dc1/dc/dc|0" + "metro5/pop1/leafB/leafB3|metro5/dc1/dc/dc|0", + "metro1/pop1/leafD/leafD4|metro1/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -51937,8 +51937,8 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro5/pop2/leafA/leafA3|metro5/dc1/dc/dc|0", "metro1/pop2/leafC/leafC2|metro1/dc1/dc/dc|0", + "metro5/pop2/leafA/leafA3|metro5/dc1/dc/dc|0", "metro1/pop1/leafD/leafD3|metro1/dc1/dc/dc|0" ] }, @@ -52048,9 +52048,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ + "metro5/pop2/leafD/leafD4|metro5/dc1/dc/dc|0", "metro2/pop1/leafC/leafC1|metro2/dc1/dc/dc|0", - "metro1/pop1/leafC/leafC1|metro1/dc1/dc/dc|0", - "metro5/pop2/leafD/leafD4|metro5/dc1/dc/dc|0" + "metro1/pop1/leafC/leafC1|metro1/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -52263,8 +52263,8 @@ "excluded_nodes": [], "excluded_links": [ "metro1/pop1/leafB/leafB3|metro1/dc1/dc/dc|0", - "metro5/pop2/leafD/leafD1|metro5/dc1/dc/dc|0", - "metro2/pop2/leafC/leafC4|metro2/dc1/dc/dc|0" + "metro2/pop2/leafC/leafC4|metro2/dc1/dc/dc|0", + "metro5/pop2/leafD/leafD1|metro5/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -52373,9 +52373,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro5/pop1/leafD/leafD1|metro5/dc1/dc/dc|0", + "metro2/pop2/leafB/leafB2|metro2/dc1/dc/dc|0", "metro1/pop2/leafB/leafB3|metro1/dc1/dc/dc|0", - "metro2/pop2/leafB/leafB2|metro2/dc1/dc/dc|0" + "metro5/pop1/leafD/leafD1|metro5/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -52484,9 +52484,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro5/pop1/leafD/leafD1|metro5/dc1/dc/dc|0", + "metro1/pop1/leafC/leafC4|metro1/dc1/dc/dc|0", "metro2/pop2/leafC/leafC1|metro2/dc1/dc/dc|0", - "metro1/pop1/leafC/leafC4|metro1/dc1/dc/dc|0" + "metro5/pop1/leafD/leafD1|metro5/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -52699,9 +52699,9 @@ "excluded_nodes": [], "excluded_links": [ "metro2/pop1/leafC/leafC1|metro2/pop1/leafC/leafC2|0", - "metro2/pop1/leafA/leafA1|metro2/pop1/leafA/leafA3|0", "metro5/pop2/leafC/leafC1|metro5/pop2/leafD/leafD1|0", - "metro1/pop2/leafB/leafB1|metro1/pop2/leafB/leafB2|0" + "metro1/pop2/leafB/leafB1|metro1/pop2/leafB/leafB2|0", + "metro2/pop1/leafA/leafA1|metro2/pop1/leafA/leafA3|0" ] }, "failure_trace": null, @@ -52800,10 +52800,10 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro5/pop1/leafA/leafA4|metro5/pop1/leafD/leafD4|0", - "metro5/pop2/leafD/leafD2|metro5/pop2/leafD/leafD3|0", + "metro2/pop1/leafA/leafA2|metro2/pop1/leafB/leafB2|0", "metro2/pop2/leafB/leafB2|metro2/pop2/leafC/leafC2|0", - "metro2/pop1/leafA/leafA2|metro2/pop1/leafB/leafB2|0" + "metro5/pop1/leafA/leafA4|metro5/pop1/leafD/leafD4|0", + "metro5/pop2/leafD/leafD2|metro5/pop2/leafD/leafD3|0" ] }, "failure_trace": null, @@ -52902,9 +52902,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ + "metro1/pop1/leafC/leafC1|metro1/pop1/leafC/leafC3|0", "metro2/pop1/leafC/leafC1|metro2/pop1/leafD/leafD1|0", "metro5/pop1/leafA/leafA2|metro5/pop1/leafA/leafA4|0", - "metro1/pop1/leafC/leafC1|metro1/pop1/leafC/leafC3|0", "metro1/pop1/leafB/leafB1|metro1/pop1/leafB/leafB4|0" ] }, @@ -53004,9 +53004,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ + "metro1/pop1/leafC/leafC3|metro1/dc1/dc/dc|0", "metro2/pop1/leafC/leafC1|metro2/dc1/dc/dc|0", - "metro5/pop1/leafA/leafA2|metro5/dc1/dc/dc|0", - "metro1/pop1/leafC/leafC3|metro1/dc1/dc/dc|0" + "metro5/pop1/leafA/leafA2|metro5/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -53111,9 +53111,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro1/pop2/leafD/leafD3|metro1/dc1/dc/dc|0", "metro1/pop2/leafA/leafA2|metro1/dc1/dc/dc|0", - "metro5/pop2/leafD/leafD1|metro5/dc1/dc/dc|0" + "metro5/pop2/leafD/leafD1|metro5/dc1/dc/dc|0", + "metro1/pop2/leafD/leafD3|metro1/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -53220,8 +53220,8 @@ "excluded_nodes": [], "excluded_links": [ "metro2/pop1/leafC/leafC3|metro2/dc1/dc/dc|0", - "metro5/pop1/leafB/leafB4|metro5/dc1/dc/dc|0", - "metro1/pop2/leafB/leafB4|metro1/dc1/dc/dc|0" + "metro1/pop2/leafB/leafB4|metro1/dc1/dc/dc|0", + "metro5/pop1/leafB/leafB4|metro5/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -53332,8 +53332,8 @@ "excluded_nodes": [], "excluded_links": [ "metro2/pop1/leafC/leafC2|metro2/dc1/dc/dc|0", - "metro2/pop2/leafC/leafC2|metro2/dc1/dc/dc|0", - "metro1/pop1/leafB/leafB2|metro1/dc1/dc/dc|0" + "metro1/pop1/leafB/leafB2|metro1/dc1/dc/dc|0", + "metro2/pop2/leafC/leafC2|metro2/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -53442,8 +53442,8 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro5/pop1/leafC/leafC2|metro5/pop1/leafC/leafC4|0", "metro2/pop1/leafA/leafA1|metro2/pop1/leafA/leafA2|0", + "metro5/pop1/leafC/leafC2|metro5/pop1/leafC/leafC4|0", "metro2/pop1/leafC/leafC2|metro2/pop1/leafC/leafC3|0", "metro1/pop2/leafA/leafA1|metro1/pop2/leafB/leafB1|0" ] @@ -53544,8 +53544,8 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro5/pop1/leafA/leafA1|metro5/dc1/dc/dc|0", "metro5/pop1/leafC/leafC1|metro5/dc1/dc/dc|0", + "metro5/pop1/leafA/leafA1|metro5/dc1/dc/dc|0", "metro1/pop2/leafC/leafC3|metro1/dc1/dc/dc|0" ] }, @@ -53653,9 +53653,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro2/pop1/leafC/leafC1|metro2/dc1/dc/dc|0", "metro2/pop1/leafD/leafD4|metro2/dc1/dc/dc|0", - "metro5/pop2/leafC/leafC4|metro5/dc1/dc/dc|0" + "metro5/pop2/leafC/leafC4|metro5/dc1/dc/dc|0", + "metro2/pop1/leafC/leafC1|metro2/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -53762,9 +53762,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ + "metro1/pop1/leafD/leafD2|metro1/dc1/dc/dc|0", "metro1/pop1/leafB/leafB1|metro1/dc1/dc/dc|0", - "metro5/pop1/leafB/leafB4|metro5/dc1/dc/dc|0", - "metro1/pop1/leafD/leafD2|metro1/dc1/dc/dc|0" + "metro5/pop1/leafB/leafB4|metro5/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -53870,9 +53870,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro5/pop2/leafA/leafA3|metro5/dc1/dc/dc|0", + "metro2/pop1/leafA/leafA2|metro2/dc1/dc/dc|0", "metro2/pop2/leafB/leafB1|metro2/dc1/dc/dc|0", - "metro2/pop1/leafA/leafA2|metro2/dc1/dc/dc|0" + "metro5/pop2/leafA/leafA3|metro5/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -53981,8 +53981,8 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro2/pop1/leafC/leafC3|metro2/dc1/dc/dc|0", "metro2/pop1/leafD/leafD4|metro2/dc1/dc/dc|0", + "metro2/pop1/leafC/leafC3|metro2/dc1/dc/dc|0", "metro2/pop2/leafB/leafB4|metro2/dc1/dc/dc|0" ] }, @@ -54201,9 +54201,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro2/pop1/leafC/leafC1|metro2/dc1/dc/dc|0", + "metro1/pop2/leafB/leafB3|metro1/dc1/dc/dc|0", "metro5/pop1/leafD/leafD4|metro5/dc1/dc/dc|0", - "metro1/pop2/leafB/leafB3|metro1/dc1/dc/dc|0" + "metro2/pop1/leafC/leafC1|metro2/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -54312,9 +54312,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro5/pop2/leafC/leafC3|metro5/dc1/dc/dc|0", + "metro2/pop1/leafB/leafB4|metro2/dc1/dc/dc|0", "metro2/pop2/leafC/leafC1|metro2/dc1/dc/dc|0", - "metro2/pop1/leafB/leafB4|metro2/dc1/dc/dc|0" + "metro5/pop2/leafC/leafC3|metro5/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -54526,8 +54526,8 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro2/pop1/leafA/leafA4|metro2/pop1/leafD/leafD4|0", "metro2/pop1/leafA/leafA1|metro2/pop1/leafD/leafD1|0", + "metro2/pop1/leafA/leafA4|metro2/pop1/leafD/leafD4|0", "metro5/pop1/leafA/leafA3|metro5/pop1/leafB/leafB3|0", "metro5/pop1/leafA/leafA2|metro5/pop1/leafB/leafB2|0" ] @@ -54628,8 +54628,8 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro2/pop1/leafC/leafC4|metro2/dc1/dc/dc|0", "metro2/pop2/leafC/leafC4|metro2/dc1/dc/dc|0", + "metro2/pop1/leafC/leafC4|metro2/dc1/dc/dc|0", "metro5/pop1/leafB/leafB2|metro5/dc1/dc/dc|0" ] }, @@ -54739,10 +54739,10 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro2/pop1/leafC/leafC1|metro2/pop1/leafD/leafD1|0", - "metro1/pop1/leafC/leafC1|metro1/pop1/leafD/leafD1|0", "metro5/pop2/leafA/leafA4|metro5/pop2/leafB/leafB4|0", - "metro5/pop2/leafB/leafB1|metro5/pop2/leafB/leafB3|0" + "metro2/pop1/leafC/leafC1|metro2/pop1/leafD/leafD1|0", + "metro5/pop2/leafB/leafB1|metro5/pop2/leafB/leafB3|0", + "metro1/pop1/leafC/leafC1|metro1/pop1/leafD/leafD1|0" ] }, "failure_trace": null, @@ -54841,9 +54841,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro5/pop1/leafD/leafD4|metro5/dc1/dc/dc|0", + "metro2/pop1/leafD/leafD4|metro2/dc1/dc/dc|0", "metro5/pop1/leafC/leafC1|metro5/dc1/dc/dc|0", - "metro2/pop1/leafD/leafD4|metro2/dc1/dc/dc|0" + "metro5/pop1/leafD/leafD4|metro5/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -54951,8 +54951,8 @@ "excluded_nodes": [], "excluded_links": [ "metro2/pop2/leafB/leafB4|metro2/dc1/dc/dc|0", - "metro5/pop1/leafD/leafD3|metro5/dc1/dc/dc|0", - "metro1/pop2/leafA/leafA1|metro1/dc1/dc/dc|0" + "metro1/pop2/leafA/leafA1|metro1/dc1/dc/dc|0", + "metro5/pop1/leafD/leafD3|metro5/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -55385,8 +55385,8 @@ "excluded_nodes": [], "excluded_links": [ "metro2/pop1/leafC/leafC3|metro2/dc1/dc/dc|0", - "metro2/pop2/leafC/leafC2|metro2/dc1/dc/dc|0", - "metro2/pop1/leafA/leafA3|metro2/dc1/dc/dc|0" + "metro2/pop1/leafA/leafA3|metro2/dc1/dc/dc|0", + "metro2/pop2/leafC/leafC2|metro2/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -55596,10 +55596,10 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ + "metro1/pop2/leafD/leafD1|metro1/pop2/leafD/leafD2|0", "metro5/pop1/leafB/leafB4|metro5/pop1/leafC/leafC4|0", - "metro1/pop2/leafD/leafD2|metro1/pop2/leafD/leafD3|0", "metro5/pop2/leafA/leafA4|metro5/pop2/leafB/leafB4|0", - "metro1/pop2/leafD/leafD1|metro1/pop2/leafD/leafD2|0" + "metro1/pop2/leafD/leafD2|metro1/pop2/leafD/leafD3|0" ] }, "failure_trace": null, @@ -55698,9 +55698,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ + "metro1/pop1/leafA/leafA3|metro1/dc1/dc/dc|0", "metro1/pop1/leafB/leafB1|metro1/dc1/dc/dc|0", - "metro1/pop2/leafA/leafA4|metro1/dc1/dc/dc|0", - "metro1/pop1/leafA/leafA3|metro1/dc1/dc/dc|0" + "metro1/pop2/leafA/leafA4|metro1/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -55807,9 +55807,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro2/pop2/leafB/leafB2|metro2/dc1/dc/dc|0", "metro1/pop1/leafC/leafC3|metro1/dc1/dc/dc|0", - "metro1/pop1/leafD/leafD2|metro1/dc1/dc/dc|0" + "metro1/pop1/leafD/leafD2|metro1/dc1/dc/dc|0", + "metro2/pop2/leafB/leafB2|metro2/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -55916,9 +55916,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro5/pop2/leafC/leafC1|metro5/dc1/dc/dc|0", + "metro1/pop2/leafA/leafA1|metro1/dc1/dc/dc|0", "metro5/pop2/leafD/leafD4|metro5/dc1/dc/dc|0", - "metro1/pop2/leafA/leafA1|metro1/dc1/dc/dc|0" + "metro5/pop2/leafC/leafC1|metro5/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -56126,8 +56126,8 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro5/pop1/leafC/leafC2|metro5/dc1/dc/dc|0", "metro5/pop1/leafC/leafC4|metro5/dc1/dc/dc|0", + "metro5/pop1/leafC/leafC2|metro5/dc1/dc/dc|0", "metro5/pop1/leafB/leafB2|metro5/dc1/dc/dc|0" ] }, @@ -56231,9 +56231,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro5/pop1/leafA/leafA1|metro5/dc1/dc/dc|0", "metro2/pop1/leafA/leafA2|metro2/dc1/dc/dc|0", - "metro5/pop2/leafD/leafD3|metro5/dc1/dc/dc|0" + "metro5/pop2/leafD/leafD3|metro5/dc1/dc/dc|0", + "metro5/pop1/leafA/leafA1|metro5/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -56343,9 +56343,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ + "metro1/pop1/leafC/leafC3|metro1/dc1/dc/dc|0", "metro5/pop2/leafD/leafD4|metro5/dc1/dc/dc|0", - "metro5/pop2/leafD/leafD1|metro5/dc1/dc/dc|0", - "metro1/pop1/leafC/leafC3|metro1/dc1/dc/dc|0" + "metro5/pop2/leafD/leafD1|metro5/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -56561,9 +56561,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro5/pop1/leafD/leafD3|metro5/dc1/dc/dc|0", "metro1/pop2/leafC/leafC2|metro1/dc1/dc/dc|0", - "metro5/pop2/leafD/leafD3|metro5/dc1/dc/dc|0" + "metro5/pop2/leafD/leafD3|metro5/dc1/dc/dc|0", + "metro5/pop1/leafD/leafD3|metro5/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -56775,9 +56775,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro5/pop1/leafD/leafD1|metro5/dc1/dc/dc|0", "metro2/pop2/leafC/leafC3|metro2/dc1/dc/dc|0", - "metro2/pop1/leafB/leafB2|metro2/dc1/dc/dc|0" + "metro2/pop1/leafB/leafB2|metro2/dc1/dc/dc|0", + "metro5/pop1/leafD/leafD1|metro5/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -56886,9 +56886,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro1/pop2/leafD/leafD1|metro1/dc1/dc/dc|0", "metro1/pop1/leafA/leafA2|metro1/dc1/dc/dc|0", - "metro1/pop1/leafB/leafB2|metro1/dc1/dc/dc|0" + "metro1/pop1/leafB/leafB2|metro1/dc1/dc/dc|0", + "metro1/pop2/leafD/leafD1|metro1/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -56996,8 +56996,8 @@ "excluded_nodes": [], "excluded_links": [ "metro2/pop1/leafD/leafD3|metro2/dc1/dc/dc|0", - "metro2/pop2/leafB/leafB2|metro2/dc1/dc/dc|0", - "metro2/pop2/leafD/leafD4|metro2/dc1/dc/dc|0" + "metro2/pop2/leafD/leafD4|metro2/dc1/dc/dc|0", + "metro2/pop2/leafB/leafB2|metro2/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -57104,10 +57104,10 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro5/pop1/leafA/leafA4|metro5/pop1/leafB/leafB4|0", + "metro1/pop1/leafA/leafA2|metro1/pop1/leafA/leafA3|0", "metro1/pop2/leafA/leafA2|metro1/pop2/leafD/leafD2|0", - "metro2/pop2/leafA/leafA2|metro2/pop2/leafB/leafB2|0", - "metro1/pop1/leafA/leafA2|metro1/pop1/leafA/leafA3|0" + "metro5/pop1/leafA/leafA4|metro5/pop1/leafB/leafB4|0", + "metro2/pop2/leafA/leafA2|metro2/pop2/leafB/leafB2|0" ] }, "failure_trace": null, @@ -57206,10 +57206,10 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro5/pop2/leafD/leafD3|metro5/pop2/leafD/leafD4|0", + "metro1/pop2/leafD/leafD2|metro1/pop2/leafD/leafD4|0", "metro2/pop1/leafB/leafB3|metro2/pop1/leafC/leafC3|0", - "metro1/pop2/leafC/leafC2|metro1/pop2/leafD/leafD2|0", - "metro1/pop2/leafD/leafD2|metro1/pop2/leafD/leafD4|0" + "metro5/pop2/leafD/leafD3|metro5/pop2/leafD/leafD4|0", + "metro1/pop2/leafC/leafC2|metro1/pop2/leafD/leafD2|0" ] }, "failure_trace": null, @@ -57308,9 +57308,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro5/pop1/leafA/leafA3|metro5/dc1/dc/dc|0", + "metro1/pop2/leafA/leafA2|metro1/dc1/dc/dc|0", "metro5/pop1/leafD/leafD2|metro5/dc1/dc/dc|0", - "metro1/pop2/leafA/leafA2|metro1/dc1/dc/dc|0" + "metro5/pop1/leafA/leafA3|metro5/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -57417,8 +57417,8 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro5/pop2/leafB/leafB3|metro5/dc1/dc/dc|0", "metro2/pop1/leafD/leafD1|metro2/dc1/dc/dc|0", + "metro5/pop2/leafB/leafB3|metro5/dc1/dc/dc|0", "metro1/pop1/leafA/leafA2|metro1/dc1/dc/dc|0" ] }, @@ -57528,10 +57528,10 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro2/pop1/leafA/leafA4|metro2/pop1/leafD/leafD4|0", - "metro1/pop2/leafC/leafC3|metro1/pop2/leafD/leafD3|0", "metro2/pop1/leafA/leafA3|metro2/pop1/leafB/leafB3|0", - "metro5/pop2/leafA/leafA3|metro5/pop2/leafD/leafD3|0" + "metro5/pop2/leafA/leafA3|metro5/pop2/leafD/leafD3|0", + "metro2/pop1/leafA/leafA4|metro2/pop1/leafD/leafD4|0", + "metro1/pop2/leafC/leafC3|metro1/pop2/leafD/leafD3|0" ] }, "failure_trace": null, @@ -57631,8 +57631,8 @@ "excluded_nodes": [], "excluded_links": [ "metro1/pop2/leafD/leafD4|metro1/dc1/dc/dc|0", - "metro1/pop2/leafA/leafA4|metro1/dc1/dc/dc|0", - "metro5/pop2/leafA/leafA1|metro5/dc1/dc/dc|0" + "metro5/pop2/leafA/leafA1|metro5/dc1/dc/dc|0", + "metro1/pop2/leafA/leafA4|metro1/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -57739,9 +57739,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro5/pop2/leafD/leafD2|metro5/dc1/dc/dc|0", "metro2/pop1/leafB/leafB1|metro2/dc1/dc/dc|0", - "metro2/pop2/leafA/leafA4|metro2/dc1/dc/dc|0" + "metro2/pop2/leafA/leafA4|metro2/dc1/dc/dc|0", + "metro5/pop2/leafD/leafD2|metro5/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -57850,9 +57850,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ + "metro1/pop2/leafA/leafA2|metro1/dc1/dc/dc|0", "metro5/pop1/leafC/leafC1|metro5/dc1/dc/dc|0", - "metro2/pop2/leafB/leafB2|metro2/dc1/dc/dc|0", - "metro1/pop2/leafA/leafA2|metro1/dc1/dc/dc|0" + "metro2/pop2/leafB/leafB2|metro2/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -57961,8 +57961,8 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro5/pop2/leafA/leafA4|metro5/dc1/dc/dc|0", "metro2/pop2/leafA/leafA3|metro2/dc1/dc/dc|0", + "metro5/pop2/leafA/leafA4|metro5/dc1/dc/dc|0", "metro1/pop2/leafB/leafB2|metro1/dc1/dc/dc|0" ] }, @@ -58069,9 +58069,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ + "metro1/pop2/leafC/leafC2|metro1/dc1/dc/dc|0", "metro1/pop2/leafD/leafD1|metro1/dc1/dc/dc|0", - "metro2/pop2/leafB/leafB2|metro2/dc1/dc/dc|0", - "metro1/pop2/leafC/leafC2|metro1/dc1/dc/dc|0" + "metro2/pop2/leafB/leafB2|metro2/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -58286,9 +58286,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ + "metro5/pop2/leafD/leafD2|metro5/dc1/dc/dc|0", "metro5/pop1/leafA/leafA4|metro5/dc1/dc/dc|0", - "metro1/pop2/leafB/leafB2|metro1/dc1/dc/dc|0", - "metro5/pop2/leafD/leafD2|metro5/dc1/dc/dc|0" + "metro1/pop2/leafB/leafB2|metro1/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -58397,10 +58397,10 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ + "metro1/pop2/leafA/leafA3|metro1/pop2/leafD/leafD3|0", "metro1/pop1/leafD/leafD1|metro1/pop1/leafD/leafD4|0", - "metro2/pop1/leafD/leafD3|metro2/pop1/leafD/leafD4|0", "metro2/pop1/leafC/leafC2|metro2/pop1/leafC/leafC3|0", - "metro1/pop2/leafA/leafA3|metro1/pop2/leafD/leafD3|0" + "metro2/pop1/leafD/leafD3|metro2/pop1/leafD/leafD4|0" ] }, "failure_trace": null, @@ -58499,9 +58499,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro1/pop2/leafD/leafD1|metro1/dc1/dc/dc|0", "metro2/pop2/leafB/leafB4|metro2/dc1/dc/dc|0", - "metro1/pop1/leafC/leafC4|metro1/dc1/dc/dc|0" + "metro1/pop1/leafC/leafC4|metro1/dc1/dc/dc|0", + "metro1/pop2/leafD/leafD1|metro1/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -58611,8 +58611,8 @@ "excluded_nodes": [], "excluded_links": [ "metro2/pop1/leafA/leafA2|metro2/dc1/dc/dc|0", - "metro5/pop2/leafC/leafC1|metro5/dc1/dc/dc|0", - "metro5/pop1/leafB/leafB1|metro5/dc1/dc/dc|0" + "metro5/pop1/leafB/leafB1|metro5/dc1/dc/dc|0", + "metro5/pop2/leafC/leafC1|metro5/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -58721,8 +58721,8 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro5/pop1/leafD/leafD2|metro5/dc1/dc/dc|0", "metro5/pop2/leafC/leafC2|metro5/dc1/dc/dc|0", + "metro5/pop1/leafD/leafD2|metro5/dc1/dc/dc|0", "metro1/pop1/leafD/leafD2|metro1/dc1/dc/dc|0" ] }, @@ -58942,8 +58942,8 @@ "excluded_nodes": [], "excluded_links": [ "metro5/pop1/leafA/leafA4|metro5/dc1/dc/dc|0", - "metro5/pop2/leafC/leafC1|metro5/dc1/dc/dc|0", - "metro5/pop2/leafC/leafC4|metro5/dc1/dc/dc|0" + "metro5/pop2/leafC/leafC4|metro5/dc1/dc/dc|0", + "metro5/pop2/leafC/leafC1|metro5/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -59264,9 +59264,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ + "metro2/pop2/leafA/leafA4|metro2/dc1/dc/dc|0", "metro2/pop1/leafA/leafA1|metro2/dc1/dc/dc|0", - "metro5/pop2/leafB/leafB1|metro5/dc1/dc/dc|0", - "metro2/pop2/leafA/leafA4|metro2/dc1/dc/dc|0" + "metro5/pop2/leafB/leafB1|metro5/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -59375,10 +59375,10 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro2/pop1/leafA/leafA4|metro2/pop1/leafD/leafD4|0", - "metro5/pop2/leafC/leafC4|metro5/pop2/leafD/leafD4|0", "metro1/pop1/leafA/leafA3|metro1/pop1/leafB/leafB3|0", - "metro2/pop2/leafD/leafD1|metro2/pop2/leafD/leafD4|0" + "metro2/pop1/leafA/leafA4|metro2/pop1/leafD/leafD4|0", + "metro2/pop2/leafD/leafD1|metro2/pop2/leafD/leafD4|0", + "metro5/pop2/leafC/leafC4|metro5/pop2/leafD/leafD4|0" ] }, "failure_trace": null, @@ -59477,10 +59477,10 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro5/pop2/leafB/leafB3|metro5/pop2/leafC/leafC3|0", - "metro2/pop2/leafC/leafC3|metro2/pop2/leafC/leafC4|0", "metro5/pop1/leafB/leafB2|metro5/pop1/leafB/leafB4|0", - "metro5/pop2/leafA/leafA1|metro5/pop2/leafA/leafA2|0" + "metro5/pop2/leafB/leafB3|metro5/pop2/leafC/leafC3|0", + "metro5/pop2/leafA/leafA1|metro5/pop2/leafA/leafA2|0", + "metro2/pop2/leafC/leafC3|metro2/pop2/leafC/leafC4|0" ] }, "failure_trace": null, @@ -59691,8 +59691,8 @@ "excluded_nodes": [], "excluded_links": [ "metro1/pop1/leafA/leafA4|metro1/dc1/dc/dc|0", - "metro2/pop2/leafC/leafC2|metro2/dc1/dc/dc|0", - "metro2/pop1/leafB/leafB3|metro2/dc1/dc/dc|0" + "metro2/pop1/leafB/leafB3|metro2/dc1/dc/dc|0", + "metro2/pop2/leafC/leafC2|metro2/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -59801,9 +59801,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro1/pop1/leafC/leafC1|metro1/dc1/dc/dc|0", "metro2/pop1/leafD/leafD3|metro2/dc1/dc/dc|0", - "metro1/pop2/leafC/leafC1|metro1/dc1/dc/dc|0" + "metro1/pop2/leafC/leafC1|metro1/dc1/dc/dc|0", + "metro1/pop1/leafC/leafC1|metro1/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -59912,9 +59912,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ + "metro1/pop2/leafA/leafA2|metro1/dc1/dc/dc|0", "metro5/pop2/leafB/leafB3|metro5/dc1/dc/dc|0", - "metro1/pop2/leafD/leafD1|metro1/dc1/dc/dc|0", - "metro1/pop2/leafA/leafA2|metro1/dc1/dc/dc|0" + "metro1/pop2/leafD/leafD1|metro1/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -60129,10 +60129,10 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro2/pop1/leafA/leafA4|metro2/pop1/leafD/leafD4|0", - "metro1/pop2/leafC/leafC1|metro1/pop2/leafC/leafC3|0", "metro2/pop2/leafB/leafB3|metro2/pop2/leafB/leafB4|0", - "metro1/pop1/leafC/leafC2|metro1/pop1/leafD/leafD2|0" + "metro1/pop1/leafC/leafC2|metro1/pop1/leafD/leafD2|0", + "metro1/pop2/leafC/leafC1|metro1/pop2/leafC/leafC3|0", + "metro2/pop1/leafA/leafA4|metro2/pop1/leafD/leafD4|0" ] }, "failure_trace": null, @@ -60334,8 +60334,8 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ - "metro2/pop2/leafA/leafA1|metro2/dc1/dc/dc|0", "metro2/pop1/leafD/leafD4|metro2/dc1/dc/dc|0", + "metro2/pop2/leafA/leafA1|metro2/dc1/dc/dc|0", "metro5/pop1/leafB/leafB2|metro5/dc1/dc/dc|0" ] }, @@ -60445,9 +60445,9 @@ "failure_state": { "excluded_nodes": [], "excluded_links": [ + "metro5/pop2/leafB/leafB1|metro5/dc1/dc/dc|0", "metro5/pop2/leafB/leafB2|metro5/dc1/dc/dc|0", - "metro5/pop2/leafC/leafC1|metro5/dc1/dc/dc|0", - "metro5/pop2/leafB/leafB1|metro5/dc1/dc/dc|0" + "metro5/pop2/leafC/leafC1|metro5/dc1/dc/dc|0" ] }, "failure_trace": null, @@ -60552,7 +60552,7 @@ "include_used_edges": false, "base_demands": [ { - "id": "^metro1/dc1/.*|^metro2/dc1/.*|kclmfFaJSzefDgCf4dAOuQ", + "id": "^metro1/dc1/.*|^metro2/dc1/.*|C6BE4pTrQDCl40pyalhCew", "source": "^metro1/dc1/.*", "target": "^metro2/dc1/.*", "volume": 15000.0, @@ -60566,7 +60566,7 @@ } }, { - "id": "^metro2/dc1/.*|^metro1/dc1/.*|sClg4RW7QCOxGTiegeTLlw", + "id": "^metro2/dc1/.*|^metro1/dc1/.*|-lZJOdJLQmGYehqEEh4PbA", "source": "^metro2/dc1/.*", "target": "^metro1/dc1/.*", "volume": 15000.0, @@ -60580,7 +60580,7 @@ } }, { - "id": "^metro2/dc1/.*|^metro5/dc1/.*|UNTa4nqdS1m5V3klBmNcbg", + "id": "^metro2/dc1/.*|^metro5/dc1/.*|4_RrpvM7T_-VVpnZBaw-1w", "source": "^metro2/dc1/.*", "target": "^metro5/dc1/.*", "volume": 15000.0, @@ -60594,7 +60594,7 @@ } }, { - "id": "^metro5/dc1/.*|^metro2/dc1/.*|gihmy-3FTkyGR0QA4d7E-g", + "id": "^metro5/dc1/.*|^metro2/dc1/.*|Dv48xifjSAChUFJJyiRfyQ", "source": "^metro5/dc1/.*", "target": "^metro2/dc1/.*", "volume": 15000.0, @@ -60608,7 +60608,7 @@ } }, { - "id": "^metro1/dc1/.*|^metro5/dc1/.*|O7-vsNZxTx2QkF6vz3S-iA", + "id": "^metro1/dc1/.*|^metro5/dc1/.*|Zp9cZFTiToWVO6Slb2PU1g", "source": "^metro1/dc1/.*", "target": "^metro5/dc1/.*", "volume": 15000.0, @@ -60622,7 +60622,7 @@ } }, { - "id": "^metro5/dc1/.*|^metro1/dc1/.*|rLoKJkjKSTWX-PJHQJjhQg", + "id": "^metro5/dc1/.*|^metro1/dc1/.*|uDseqbdxQCuBsfEK5e5zvg", "source": "^metro5/dc1/.*", "target": "^metro1/dc1/.*", "volume": 15000.0, @@ -60643,7 +60643,7 @@ }, "cost_power": { "metadata": { - "duration_sec": 0.0021789073944091797 + "duration_sec": 0.002537965774536133 }, "data": { "context": { @@ -60920,7 +60920,7 @@ "demands": { "baseline_traffic_matrix": [ { - "id": "^metro1/dc1/.*|^metro2/dc1/.*|kclmfFaJSzefDgCf4dAOuQ", + "id": "^metro1/dc1/.*|^metro2/dc1/.*|C6BE4pTrQDCl40pyalhCew", "source": "^metro1/dc1/.*", "target": "^metro2/dc1/.*", "volume": 15000.0, @@ -60934,7 +60934,7 @@ } }, { - "id": "^metro2/dc1/.*|^metro1/dc1/.*|sClg4RW7QCOxGTiegeTLlw", + "id": "^metro2/dc1/.*|^metro1/dc1/.*|-lZJOdJLQmGYehqEEh4PbA", "source": "^metro2/dc1/.*", "target": "^metro1/dc1/.*", "volume": 15000.0, @@ -60948,7 +60948,7 @@ } }, { - "id": "^metro2/dc1/.*|^metro5/dc1/.*|UNTa4nqdS1m5V3klBmNcbg", + "id": "^metro2/dc1/.*|^metro5/dc1/.*|4_RrpvM7T_-VVpnZBaw-1w", "source": "^metro2/dc1/.*", "target": "^metro5/dc1/.*", "volume": 15000.0, @@ -60962,7 +60962,7 @@ } }, { - "id": "^metro5/dc1/.*|^metro2/dc1/.*|gihmy-3FTkyGR0QA4d7E-g", + "id": "^metro5/dc1/.*|^metro2/dc1/.*|Dv48xifjSAChUFJJyiRfyQ", "source": "^metro5/dc1/.*", "target": "^metro2/dc1/.*", "volume": 15000.0, @@ -60976,7 +60976,7 @@ } }, { - "id": "^metro1/dc1/.*|^metro5/dc1/.*|O7-vsNZxTx2QkF6vz3S-iA", + "id": "^metro1/dc1/.*|^metro5/dc1/.*|Zp9cZFTiToWVO6Slb2PU1g", "source": "^metro1/dc1/.*", "target": "^metro5/dc1/.*", "volume": 15000.0, @@ -60990,7 +60990,7 @@ } }, { - "id": "^metro5/dc1/.*|^metro1/dc1/.*|rLoKJkjKSTWX-PJHQJjhQg", + "id": "^metro5/dc1/.*|^metro1/dc1/.*|uDseqbdxQCuBsfEK5e5zvg", "source": "^metro5/dc1/.*", "target": "^metro1/dc1/.*", "volume": 15000.0, @@ -61006,4 +61006,4 @@ ] } } -} \ No newline at end of file +} diff --git a/tests/data/scenarios/small_dragonfly_custom/small_dragonfly_custom__seed12/small_dragonfly_custom__seed12_scenario.yml b/tests/data/scenarios/small_dragonfly_custom/small_dragonfly_custom__seed12/small_dragonfly_custom__seed12_scenario.yml index c42a4ef..b5eb492 100644 --- a/tests/data/scenarios/small_dragonfly_custom/small_dragonfly_custom__seed12/small_dragonfly_custom__seed12_scenario.yml +++ b/tests/data/scenarios/small_dragonfly_custom/small_dragonfly_custom__seed12/small_dragonfly_custom__seed12_scenario.yml @@ -363,6 +363,7 @@ network: - attr: role op: == value: leaf + logic: or target: path: metro1/pop2 match: *id001 @@ -441,9 +442,11 @@ network: source_metro: new-york-jersey-city-newark target_metro: washington-arlington target_capacity: 12800.0 - site_edge: metro1/pop1|metro2/pop1|inter_metro:1-2:1-1 - adjacency_id: inter_metro:1-2 + site_edge: metro1/pop1|metro2/pop1|inter_metro:1-2:path0:1-1 + adjacency_id: inter_metro:1-2:path0 distance_km: 412 + euclidean_km: 329.80891925266354 + detour_ratio: 1.2484239409074376 hardware: source: component: 800G-ZR+ @@ -451,7 +454,7 @@ network: target: component: 800G-ZR+ count: 1.0 - risk_groups: &id005 + risk_groups: - corridor_risk_columbus_new-york-jersey-city-newark - corridor_risk_new-york-jersey-city-newark_washington-arlington - source: @@ -476,9 +479,11 @@ network: source_metro: new-york-jersey-city-newark target_metro: columbus target_capacity: 12800.0 - site_edge: metro1/pop1|metro5/pop1|inter_metro:1-5:1-1 - adjacency_id: inter_metro:1-5 + site_edge: metro1/pop1|metro5/pop1|inter_metro:1-5:path0:1-1 + adjacency_id: inter_metro:1-5:path0 distance_km: 977 + euclidean_km: 747.1357017294783 + detour_ratio: 1.3070646931065415 hardware: source: component: 800G-ZR+ @@ -486,7 +491,7 @@ network: target: component: 800G-ZR+ count: 1.0 - risk_groups: &id006 + risk_groups: - corridor_risk_chicago_washington-arlington - corridor_risk_columbus_new-york-jersey-city-newark - corridor_risk_columbus_washington-arlington @@ -515,7 +520,6 @@ network: target: component: 800G-ZR+ count: 3.0 - # Inter-metro corridors - source: path: metro1/pop2 match: *id003 @@ -530,9 +534,11 @@ network: source_metro: new-york-jersey-city-newark target_metro: washington-arlington target_capacity: 12800.0 - site_edge: metro1/pop2|metro2/pop2|inter_metro:1-2:2-2 - adjacency_id: inter_metro:1-2 + site_edge: metro1/pop2|metro2/pop2|inter_metro:1-2:path0:2-2 + adjacency_id: inter_metro:1-2:path0 distance_km: 412 + euclidean_km: 329.80891925266354 + detour_ratio: 1.2484239409074376 hardware: source: component: 800G-ZR+ @@ -540,7 +546,9 @@ network: target: component: 800G-ZR+ count: 1.0 - risk_groups: *id005 + risk_groups: + - corridor_risk_columbus_new-york-jersey-city-newark + - corridor_risk_new-york-jersey-city-newark_washington-arlington - source: path: metro1/pop2 match: *id004 @@ -555,9 +563,11 @@ network: source_metro: new-york-jersey-city-newark target_metro: columbus target_capacity: 12800.0 - site_edge: metro1/pop2|metro5/pop2|inter_metro:1-5:2-2 - adjacency_id: inter_metro:1-5 + site_edge: metro1/pop2|metro5/pop2|inter_metro:1-5:path0:2-2 + adjacency_id: inter_metro:1-5:path0 distance_km: 977 + euclidean_km: 747.1357017294783 + detour_ratio: 1.3070646931065415 hardware: source: component: 800G-ZR+ @@ -565,10 +575,14 @@ network: target: component: 800G-ZR+ count: 1.0 - risk_groups: *id006 + risk_groups: + - corridor_risk_chicago_washington-arlington + - corridor_risk_columbus_new-york-jersey-city-newark + - corridor_risk_columbus_washington-arlington + - corridor_risk_new-york-jersey-city-newark_washington-arlington - source: path: metro2/pop1 - match: &id007 + match: &id005 conditions: - attr: role op: == @@ -576,9 +590,10 @@ network: - attr: role op: == value: leaf + logic: or target: path: metro2/pop2 - match: *id007 + match: *id005 pattern: one_to_one capacity: 1600.0 cost: 103 @@ -599,7 +614,7 @@ network: count: 2.0 - source: path: metro2/pop1 - match: &id008 + match: &id006 conditions: - attr: role op: == @@ -613,7 +628,7 @@ network: logic: or target: path: metro2/dc1 - match: *id008 + match: *id006 pattern: one_to_one capacity: 2400.0 cost: 1 @@ -634,7 +649,7 @@ network: count: 3.0 - source: path: metro2/pop1 - match: &id009 + match: &id007 conditions: - attr: role op: == @@ -645,7 +660,7 @@ network: logic: or target: path: metro3/pop1 - match: *id009 + match: *id007 pattern: one_to_one capacity: 200.0 cost: 1261 @@ -654,9 +669,11 @@ network: source_metro: washington-arlington target_metro: chicago target_capacity: 3200.0 - site_edge: metro2/pop1|metro3/pop1|inter_metro:2-3:1-1 - adjacency_id: inter_metro:2-3 + site_edge: metro2/pop1|metro3/pop1|inter_metro:2-3:path0:1-1 + adjacency_id: inter_metro:2-3:path0 distance_km: 1261 + euclidean_km: 962.0849480451766 + detour_ratio: 1.3098725226374546 hardware: source: component: 800G-ZR+ @@ -664,13 +681,13 @@ network: target: component: 800G-ZR+ count: 1.0 - risk_groups: &id012 + risk_groups: - corridor_risk_chicago_washington-arlington - corridor_risk_columbus_new-york-jersey-city-newark - corridor_risk_columbus_washington-arlington - source: path: metro2/pop1 - match: &id010 + match: &id008 conditions: - attr: role op: == @@ -681,7 +698,7 @@ network: logic: or target: path: metro4/pop1 - match: *id010 + match: *id008 pattern: one_to_one capacity: 200.0 cost: 1216 @@ -690,9 +707,11 @@ network: source_metro: washington-arlington target_metro: atlanta target_capacity: 3200.0 - site_edge: metro2/pop1|metro4/pop1|inter_metro:2-4:1-1 - adjacency_id: inter_metro:2-4 + site_edge: metro2/pop1|metro4/pop1|inter_metro:2-4:path0:1-1 + adjacency_id: inter_metro:2-4:path0 distance_km: 1216 + euclidean_km: 861.267572704122 + detour_ratio: 1.4113975069243747 hardware: source: component: 800G-ZR+ @@ -700,11 +719,11 @@ network: target: component: 800G-ZR+ count: 1.0 - risk_groups: &id013 + risk_groups: - corridor_risk_atlanta_washington-arlington - source: path: metro2/pop1 - match: &id011 + match: &id009 conditions: - attr: role op: == @@ -715,7 +734,7 @@ network: logic: or target: path: metro5/pop1 - match: *id011 + match: *id009 pattern: one_to_one capacity: 800.0 cost: 733 @@ -724,9 +743,11 @@ network: source_metro: washington-arlington target_metro: columbus target_capacity: 12800.0 - site_edge: metro2/pop1|metro5/pop1|inter_metro:2-5:1-1 - adjacency_id: inter_metro:2-5 + site_edge: metro2/pop1|metro5/pop1|inter_metro:2-5:path0:1-1 + adjacency_id: inter_metro:2-5:path0 distance_km: 733 + euclidean_km: 507.67314955219973 + detour_ratio: 1.44331128980949 hardware: source: component: 800G-ZR+ @@ -734,16 +755,16 @@ network: target: component: 800G-ZR+ count: 1.0 - risk_groups: &id014 + risk_groups: - corridor_risk_chicago_washington-arlington - corridor_risk_columbus_new-york-jersey-city-newark - corridor_risk_columbus_washington-arlington - source: path: metro2/pop2 - match: *id008 + match: *id006 target: path: metro2/dc1 - match: *id008 + match: *id006 pattern: one_to_one capacity: 2400.0 cost: 103 @@ -764,10 +785,10 @@ network: count: 3.0 - source: path: metro2/pop2 - match: *id009 + match: *id007 target: path: metro3/pop2 - match: *id009 + match: *id007 pattern: one_to_one capacity: 200.0 cost: 1261 @@ -776,9 +797,11 @@ network: source_metro: washington-arlington target_metro: chicago target_capacity: 3200.0 - site_edge: metro2/pop2|metro3/pop2|inter_metro:2-3:2-2 - adjacency_id: inter_metro:2-3 + site_edge: metro2/pop2|metro3/pop2|inter_metro:2-3:path0:2-2 + adjacency_id: inter_metro:2-3:path0 distance_km: 1261 + euclidean_km: 962.0849480451766 + detour_ratio: 1.3098725226374546 hardware: source: component: 800G-ZR+ @@ -786,13 +809,16 @@ network: target: component: 800G-ZR+ count: 1.0 - risk_groups: *id012 + risk_groups: + - corridor_risk_chicago_washington-arlington + - corridor_risk_columbus_new-york-jersey-city-newark + - corridor_risk_columbus_washington-arlington - source: path: metro2/pop2 - match: *id010 + match: *id008 target: path: metro4/pop2 - match: *id010 + match: *id008 pattern: one_to_one capacity: 200.0 cost: 1216 @@ -801,9 +827,11 @@ network: source_metro: washington-arlington target_metro: atlanta target_capacity: 3200.0 - site_edge: metro2/pop2|metro4/pop2|inter_metro:2-4:2-2 - adjacency_id: inter_metro:2-4 + site_edge: metro2/pop2|metro4/pop2|inter_metro:2-4:path0:2-2 + adjacency_id: inter_metro:2-4:path0 distance_km: 1216 + euclidean_km: 861.267572704122 + detour_ratio: 1.4113975069243747 hardware: source: component: 800G-ZR+ @@ -811,13 +839,14 @@ network: target: component: 800G-ZR+ count: 1.0 - risk_groups: *id013 + risk_groups: + - corridor_risk_atlanta_washington-arlington - source: path: metro2/pop2 - match: *id011 + match: *id009 target: path: metro5/pop2 - match: *id011 + match: *id009 pattern: one_to_one capacity: 800.0 cost: 733 @@ -826,9 +855,11 @@ network: source_metro: washington-arlington target_metro: columbus target_capacity: 12800.0 - site_edge: metro2/pop2|metro5/pop2|inter_metro:2-5:2-2 - adjacency_id: inter_metro:2-5 + site_edge: metro2/pop2|metro5/pop2|inter_metro:2-5:path0:2-2 + adjacency_id: inter_metro:2-5:path0 distance_km: 733 + euclidean_km: 507.67314955219973 + detour_ratio: 1.44331128980949 hardware: source: component: 800G-ZR+ @@ -836,10 +867,13 @@ network: target: component: 800G-ZR+ count: 1.0 - risk_groups: *id014 + risk_groups: + - corridor_risk_chicago_washington-arlington + - corridor_risk_columbus_new-york-jersey-city-newark + - corridor_risk_columbus_washington-arlington - source: path: metro3/pop1 - match: &id015 + match: &id010 conditions: - attr: role op: == @@ -847,9 +881,10 @@ network: - attr: role op: == value: leaf + logic: or target: path: metro3/pop2 - match: *id015 + match: *id010 pattern: one_to_one capacity: 12800.0 cost: 138 @@ -870,7 +905,7 @@ network: count: 16.0 - source: path: metro3/pop1 - match: &id016 + match: &id011 conditions: - attr: role op: == @@ -881,7 +916,7 @@ network: logic: or target: path: metro5/pop1 - match: *id016 + match: *id011 pattern: one_to_one capacity: 200.0 cost: 658 @@ -890,9 +925,11 @@ network: source_metro: chicago target_metro: columbus target_capacity: 3200.0 - site_edge: metro3/pop1|metro5/pop1|inter_metro:3-5:1-1 - adjacency_id: inter_metro:3-5 + site_edge: metro3/pop1|metro5/pop1|inter_metro:3-5:path0:1-1 + adjacency_id: inter_metro:3-5:path0 distance_km: 658 + euclidean_km: 463.6395625132306 + detour_ratio: 1.418606990859309 hardware: source: component: 800G-ZR+ @@ -900,12 +937,12 @@ network: target: component: 800G-ZR+ count: 1.0 - risk_groups: &id018 + risk_groups: - corridor_risk_atlanta_chicago - corridor_risk_chicago_columbus - source: path: metro3/pop1 - match: &id017 + match: &id012 conditions: - attr: role op: == @@ -916,7 +953,7 @@ network: logic: or target: path: metro4/pop1 - match: *id017 + match: *id012 pattern: one_to_one capacity: 3200.0 cost: 1302 @@ -925,9 +962,11 @@ network: source_metro: chicago target_metro: atlanta target_capacity: 3200.0 - site_edge: metro3/pop1|metro4/pop1|inter_metro:3-4:1-1 - adjacency_id: inter_metro:3-4 + site_edge: metro3/pop1|metro4/pop1|inter_metro:3-4:path0:1-1 + adjacency_id: inter_metro:3-4:path0 distance_km: 1302 + euclidean_km: 962.0999146161588 + detour_ratio: 1.3528437249287772 hardware: source: component: 800G-ZR+ @@ -935,16 +974,16 @@ network: target: component: 800G-ZR+ count: 4.0 - risk_groups: &id019 + risk_groups: - corridor_risk_atlanta_chicago - corridor_risk_atlanta_columbus - corridor_risk_chicago_columbus - source: path: metro3/pop2 - match: *id016 + match: *id011 target: path: metro5/pop2 - match: *id016 + match: *id011 pattern: one_to_one capacity: 200.0 cost: 658 @@ -953,9 +992,11 @@ network: source_metro: chicago target_metro: columbus target_capacity: 3200.0 - site_edge: metro3/pop2|metro5/pop2|inter_metro:3-5:2-2 - adjacency_id: inter_metro:3-5 + site_edge: metro3/pop2|metro5/pop2|inter_metro:3-5:path0:2-2 + adjacency_id: inter_metro:3-5:path0 distance_km: 658 + euclidean_km: 463.6395625132306 + detour_ratio: 1.418606990859309 hardware: source: component: 800G-ZR+ @@ -963,13 +1004,15 @@ network: target: component: 800G-ZR+ count: 1.0 - risk_groups: *id018 + risk_groups: + - corridor_risk_atlanta_chicago + - corridor_risk_chicago_columbus - source: path: metro3/pop2 - match: *id017 + match: *id012 target: path: metro4/pop2 - match: *id017 + match: *id012 pattern: one_to_one capacity: 3200.0 cost: 1302 @@ -978,9 +1021,11 @@ network: source_metro: chicago target_metro: atlanta target_capacity: 3200.0 - site_edge: metro3/pop2|metro4/pop2|inter_metro:3-4:2-2 - adjacency_id: inter_metro:3-4 + site_edge: metro3/pop2|metro4/pop2|inter_metro:3-4:path0:2-2 + adjacency_id: inter_metro:3-4:path0 distance_km: 1302 + euclidean_km: 962.0999146161588 + detour_ratio: 1.3528437249287772 hardware: source: component: 800G-ZR+ @@ -988,10 +1033,13 @@ network: target: component: 800G-ZR+ count: 4.0 - risk_groups: *id019 + risk_groups: + - corridor_risk_atlanta_chicago + - corridor_risk_atlanta_columbus + - corridor_risk_chicago_columbus - source: path: metro4/pop1 - match: &id020 + match: &id013 conditions: - attr: role op: == @@ -999,9 +1047,10 @@ network: - attr: role op: == value: leaf + logic: or target: path: metro4/pop2 - match: *id020 + match: *id013 pattern: one_to_one capacity: 12800.0 cost: 142 @@ -1022,7 +1071,7 @@ network: count: 16.0 - source: path: metro4/pop1 - match: &id021 + match: &id014 conditions: - attr: role op: == @@ -1033,7 +1082,7 @@ network: logic: or target: path: metro5/pop1 - match: *id021 + match: *id014 pattern: one_to_one capacity: 200.0 cost: 1028 @@ -1042,9 +1091,11 @@ network: source_metro: atlanta target_metro: columbus target_capacity: 3200.0 - site_edge: metro4/pop1|metro5/pop1|inter_metro:4-5:1-1 - adjacency_id: inter_metro:4-5 + site_edge: metro4/pop1|metro5/pop1|inter_metro:4-5:path0:1-1 + adjacency_id: inter_metro:4-5:path0 distance_km: 1028 + euclidean_km: 713.256465952325 + detour_ratio: 1.439960594262943 hardware: source: component: 800G-ZR+ @@ -1052,15 +1103,15 @@ network: target: component: 800G-ZR+ count: 1.0 - risk_groups: &id022 + risk_groups: - corridor_risk_atlanta_chicago - corridor_risk_atlanta_columbus - source: path: metro4/pop2 - match: *id021 + match: *id014 target: path: metro5/pop2 - match: *id021 + match: *id014 pattern: one_to_one capacity: 200.0 cost: 1028 @@ -1069,9 +1120,11 @@ network: source_metro: atlanta target_metro: columbus target_capacity: 3200.0 - site_edge: metro4/pop2|metro5/pop2|inter_metro:4-5:2-2 - adjacency_id: inter_metro:4-5 + site_edge: metro4/pop2|metro5/pop2|inter_metro:4-5:path0:2-2 + adjacency_id: inter_metro:4-5:path0 distance_km: 1028 + euclidean_km: 713.256465952325 + detour_ratio: 1.439960594262943 hardware: source: component: 800G-ZR+ @@ -1079,10 +1132,12 @@ network: target: component: 800G-ZR+ count: 1.0 - risk_groups: *id022 + risk_groups: + - corridor_risk_atlanta_chicago + - corridor_risk_atlanta_columbus - source: path: metro5/pop1 - match: &id023 + match: &id015 conditions: - attr: role op: == @@ -1090,9 +1145,10 @@ network: - attr: role op: == value: leaf + logic: or target: path: metro5/pop2 - match: *id023 + match: *id015 pattern: one_to_one capacity: 1600.0 cost: 65 @@ -1113,7 +1169,7 @@ network: count: 2.0 - source: path: metro5/pop1 - match: &id024 + match: &id016 conditions: - attr: role op: == @@ -1127,7 +1183,7 @@ network: logic: or target: path: metro5/dc1 - match: *id024 + match: *id016 pattern: one_to_one capacity: 2400.0 cost: 1 @@ -1148,10 +1204,10 @@ network: count: 3.0 - source: path: metro5/pop2 - match: *id024 + match: *id016 target: path: metro5/dc1 - match: *id024 + match: *id016 pattern: one_to_one capacity: 2400.0 cost: 65 diff --git a/tests/data/scenarios_metrics/project.csv b/tests/data/scenarios_metrics/project.csv index 0ac8fc7..dd545c5 100644 --- a/tests/data/scenarios_metrics/project.csv +++ b/tests/data/scenarios_metrics/project.csv @@ -1,5 +1,5 @@ ,scenario,seeds,node_count,link_count,alpha_star,bw_p90,bw_p95,bw_p99,bw_p999,bac_auc,lat_base_p50,lat_fail_p99,lat_TD99,lat_SLO_1_2_drop,lat_best_path_drop,lat_WES_delta,iters_fail,iters_total,unique_patterns,tm_duration_total_sec,tm_duration_per_iter_sec,USD_per_Gbit_offered,Watt_per_Gbit_offered,USD_per_Gbit_p999,Watt_per_Gbit_p999,capex_total -0,small_baseline,2,13.0,27.0,1.546875,0.3333333333333333,0.3333333333333333,0.09270781893004115,0.09270781893004115,0.6650411974856419,1.1129251700680272,2.2616393539695934,0.6731358529111338,0.0,0.0510263410171438,-0.22410109428427294,1000.0,1001.0,38.0,0.02350950241088865,2.3486016394494173e-05,133.12263374485596,1.759768230452675,1435.9375,18.981875,18380000.0 -1,small_clos,2,127.0,756.0,1.546875,0.4110781893004115,0.3754732510288066,0.09270781893004115,0.09270781893004115,0.8992412690190468,1.1129251700680272,4.9855072463768115,1.0,0.0,0.0185349794238683,0.00015714234686295002,1000.0,1001.0,573.0,0.4342689514160156,0.00043383511629965,260.97251028806585,2.9044200823045268,2815.0,31.32875,36032000.0 -2,small_dragonfly,2,133.0,739.0,1.546875,0.41107818930041146,0.3754732510288066,0.09270781893004112,0.09270781893004112,0.9000063499111117,1.1129251700680272,4.9855072463768115,1.0,2.7755575615628914e-17,0.0166468258871714,7.855235778732317e-05,1000.0,1001.0,581.5,0.3743520975112915,0.00037397811939185,243.8070781893004,2.7847690534979423,2629.843750000001,30.038125000000008,33662000.0 -3,small_dragonfly_custom,2,103.0,612.0,1.546875,0.4110781893004115,0.3754732510288066,0.09270781893004115,0.09270781893004115,0.8985433332099999,1.1129251700680272,4.9855072463768115,1.0,0.0,0.021080734954413,0.0001064711091292,1000.0,1001.0,555.5,0.3564099073410034,0.00035605385348745,216.64658436213992,2.3954541563786007,2336.875,25.83875,29912000.0 +0,small_baseline,2,13.0,27.0,1.546875,0.3333333333333333,0.3333333333333333,0.09270781893004115,0.09270781893004115,0.6650411974856419,1.1129251700680272,2.2616393539695934,0.6731358529111338,0.0,0.0510263410171438,-0.22410109428427294,1000.0,1001.0,38.0,0.02303397655487055,2.3010965589281324e-05,133.12263374485596,1.759768230452675,1435.9375,18.981875,18380000.0 +1,small_clos,2,127.0,756.0,1.546875,0.4110781893004115,0.3754732510288066,0.09270781893004115,0.09270781893004115,0.8992412690190468,1.1129251700680272,4.9855072463768115,1.0,0.0,0.0185349794238683,0.00015714234686295002,1000.0,1001.0,573.0,0.5285098552703857,0.0005279818733969,260.97251028806585,2.9044200823045268,2815.0,31.32875,36032000.0 +2,small_dragonfly,2,133.0,739.0,1.546875,0.41107818930041146,0.3754732510288066,0.09270781893004112,0.09270781893004112,0.9000063499111117,1.1129251700680272,4.9855072463768115,1.0,2.7755575615628914e-17,0.0166468258871714,7.855235778732317e-05,1000.0,1001.0,581.5,0.5621346235275269,0.000561573050477,243.8070781893004,2.7847690534979423,2629.843750000001,30.038125000000008,33662000.0 +3,small_dragonfly_custom,2,103.0,612.0,1.546875,0.4110781893004115,0.3754732510288066,0.09270781893004115,0.09270781893004115,0.8985433332099999,1.1129251700680272,4.9855072463768115,1.0,0.0,0.021080734954413,0.0001064711091292,1000.0,1001.0,555.5,0.45632123947143555,0.00045586537409729997,216.64658436213992,2.3954541563786007,2336.875,25.83875,29912000.0 diff --git a/tests/data/scenarios_metrics/project_baseline_normalized_per_seed.csv b/tests/data/scenarios_metrics/project_baseline_normalized_per_seed.csv index c0bfcb0..ad39641 100644 --- a/tests/data/scenarios_metrics/project_baseline_normalized_per_seed.csv +++ b/tests/data/scenarios_metrics/project_baseline_normalized_per_seed.csv @@ -1,7 +1,7 @@ -,scenario,seed,bw_p90_pct_r,bw_p95_pct_r,bw_p99_pct_r,bw_p999_pct_r,auc_norm_r,lat_fail_p99_r,USD_per_Gbit_offered_r,Watt_per_Gbit_offered_r,USD_per_Gbit_p999_r,Watt_per_Gbit_p999_r,lat_SLO_1_2_drop_d,lat_best_path_drop_d,lat_WES_delta_d,lat_TD99 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+4,small_dragonfly_custom,11,7.923076923076923,22.666666666666668,1.2136296296296296,1.0,1.0,1.0,1.3119231529375899,2.8879056047197644,1.6274211099020672,1.3612327549306904,1.6274211099020675,1.3612327549306906,0.0,0.020350770320348766,0.5200670019649749,1.0 +5,small_dragonfly_custom,12,7.923076923076923,22.666666666666668,1.2528395061728397,1.2528395061728397,1.0,1.0,1.3930270435560286,1.0,1.6274211099020675,1.3612327549306904,1.6274211099020675,1.3612327549306906,0.0,-0.08024198244581027,-0.07165187117817068,1.0 diff --git a/tests/data/scenarios_metrics/provenance.json b/tests/data/scenarios_metrics/provenance.json index 0873e17..9b0a840 100644 --- a/tests/data/scenarios_metrics/provenance.json +++ b/tests/data/scenarios_metrics/provenance.json @@ -1,50 +1,50 @@ { - "generated_at": "2026-10-02T02:50:26.831732+00:00", + "generated_at": "2026-10-04T21:29:27.333468+00:00", "python": "3.13.13 (main, May 10 2026, 19:20:37) [Clang 22.1.3 ]", - "platform": 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"numpy": { + "version": "2.5.3" + }, + "pandas": { + "version": "3.0.6" + }, + "scipy": { + "version": "1.18.1" + }, + "matplotlib": { + "version": "3.11.2" + }, + "seaborn": { + "version": "0.13.2" + } + }, + "settings": { + "enable_maxflow": false, + "plots": false + } +} diff --git a/tests/data/scenarios_metrics/small_baseline/alpha_summary.json b/tests/data/scenarios_metrics/small_baseline/alpha_summary.json index f51da0c..d00fbb1 100644 --- a/tests/data/scenarios_metrics/small_baseline/alpha_summary.json +++ b/tests/data/scenarios_metrics/small_baseline/alpha_summary.json @@ -3,4 +3,4 @@ "median": 1.546875, "q25": 1.4765625, "q75": 1.6171875 -} \ No newline at end of file +} diff --git a/tests/data/scenarios_metrics/small_baseline/bac_summary.json b/tests/data/scenarios_metrics/small_baseline/bac_summary.json index ba658e2..0715ec5 100644 --- a/tests/data/scenarios_metrics/small_baseline/bac_summary.json +++ b/tests/data/scenarios_metrics/small_baseline/bac_summary.json @@ -1,3016 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a/tests/data/scenarios_metrics/small_baseline/provenance.json +++ b/tests/data/scenarios_metrics/small_baseline/provenance.json @@ -1,8 +1,44 @@ { - "generated_at": "2026-10-02T02:50:26.113480+00:00", + "generated_at": "2026-10-04T21:29:26.613930+00:00", "python": "3.13.13 (main, May 10 2026, 19:20:37) [Clang 22.1.3 ]", - "platform": "macOS-26.6.1-arm64-arm-64bit-Mach-O", - "scenarios_root": "build/fixture-regeneration/run-3vevzd_6/scenarios", - "output_root": "build/fixture-regeneration/run-3vevzd_6/scenarios_metrics", - "git_commit": "2e0d966f1ed5cd30862877afd812d7ad2b124730" -} \ No newline at end of file + "platform": "macOS-27.0.1-arm64-arm-64bit-Mach-O", + "scenarios_root": "tests/data/scenarios", + "output_root": "tests/data/scenarios_metrics", + "packages": { + "netlab": { + "version": "0.3.0" + }, + "topogen": { + "version": "0.4.0", + "source": { + "url": "https://github.com/networmix/TopoGen", + "vcs_info": { + "commit_id": "3bf0fa4aa08604a886421461f7ce36dbd7275121", + "requested_revision": "main", + "vcs": "git" + } + } + }, + "ngraph": { + "version": "0.24.0" + }, + "netgraph-core": { + "version": "0.11.0" + }, + "numpy": { + "version": "2.5.3" + }, + "pandas": { + "version": "3.0.6" + }, + "scipy": { + "version": "1.18.1" + }, + "matplotlib": { + "version": "3.11.2" + }, + "seaborn": { + "version": "0.13.2" + } + } +} diff --git a/tests/data/scenarios_metrics/small_baseline/seed11/alpha.json b/tests/data/scenarios_metrics/small_baseline/seed11/alpha.json index 6e1ff5b..caf92a6 100644 --- a/tests/data/scenarios_metrics/small_baseline/seed11/alpha.json +++ b/tests/data/scenarios_metrics/small_baseline/seed11/alpha.json @@ -2,4 +2,4 @@ "alpha_star": 1.40625, "source": "msd_baseline", "base_total_demand": 90000.0 -} \ No newline at end of file +} diff --git a/tests/data/scenarios_metrics/small_baseline/seed11/bac.json b/tests/data/scenarios_metrics/small_baseline/seed11/bac.json index 623e641..51c6b84 100644 --- a/tests/data/scenarios_metrics/small_baseline/seed11/bac.json +++ b/tests/data/scenarios_metrics/small_baseline/seed11/bac.json @@ -14342,4 +14342,4 @@ } } } -} \ No newline at end of file +} diff --git a/tests/data/scenarios_metrics/small_baseline/seed11/costpower.json b/tests/data/scenarios_metrics/small_baseline/seed11/costpower.json index 60fe783..bb8569a 100644 --- a/tests/data/scenarios_metrics/small_baseline/seed11/costpower.json +++ b/tests/data/scenarios_metrics/small_baseline/seed11/costpower.json @@ -5,4 +5,4 @@ "Watt_per_Gbit_offered": 1.9197471604938272, "USD_per_Gbit_p999": 1435.9375, "Watt_per_Gbit_p999": 18.981875 -} \ No newline at end of file +} diff --git a/tests/data/scenarios_metrics/small_baseline/seed11/iterops.json b/tests/data/scenarios_metrics/small_baseline/seed11/iterops.json index dddd8b2..940a12b 100644 --- a/tests/data/scenarios_metrics/small_baseline/seed11/iterops.json +++ b/tests/data/scenarios_metrics/small_baseline/seed11/iterops.json @@ -2,6 +2,6 @@ "iters_fail": 1000, "iters_total": 1001, "unique_patterns": 38, - "tm_duration_total_sec": 0.021759986877441406, - "tm_duration_per_iter_sec": 2.1738248628812594e-05 -} \ No newline at end of file + "tm_duration_total_sec": 0.023918867111206055, + "tm_duration_per_iter_sec": 2.3894972139066988e-05 +} diff --git a/tests/data/scenarios_metrics/small_baseline/seed11/latency.json b/tests/data/scenarios_metrics/small_baseline/seed11/latency.json index a162b27..93e2e98 100644 --- a/tests/data/scenarios_metrics/small_baseline/seed11/latency.json +++ b/tests/data/scenarios_metrics/small_baseline/seed11/latency.json @@ -1,5 +1,6 @@ { "baseline": { + "reference_coverage": 1.0, "p50": 1.2258503401360543, "p95": 7.63768115942029, "p99": 8.333333333333334, @@ -15,7 +16,8 @@ "SLO_1_2": 0.4757530864197531, "SLO_1_5": 0.6908523699305625, "best_path_share": 0.34469135802469136, - "WES": 0.5089240819493808 + "WES": 0.5089240819493808, + "reference_coverage": 1.0 }, "derived": { "TD95": 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b/tests/data/scenarios_metrics/small_baseline/seed11/pairs_tm_abs.csv index 8aa7adf..b8fd7ad 100644 --- a/tests/data/scenarios_metrics/small_baseline/seed11/pairs_tm_abs.csv +++ b/tests/data/scenarios_metrics/small_baseline/seed11/pairs_tm_abs.csv @@ -1,7 +1,7 @@ ,p50.0,p90.0,p99.0,p99.9,p99.99 -metro1/dc1→metro5/dc1,21093.75,21093.75,21093.75,21093.75,21093.75 -metro5/dc1→metro1/dc1,21093.75,21093.75,21093.75,21093.75,21093.75 -metro2/dc1→metro5/dc1,21093.75,21093.75,21093.75,21093.75,21093.75 -metro5/dc1→metro2/dc1,21093.75,21093.75,21093.75,21093.75,21093.75 -metro1/dc1→metro2/dc1,17306.25,21093.75,21093.75,21093.75,21093.75 -metro2/dc1→metro1/dc1,17306.25,21093.75,21093.75,21093.75,21093.75 +metro1/dc1/dc/dc→metro2/dc1/dc/dc,17306.25,21093.75,21093.75,21093.75,21093.75 +metro1/dc1/dc/dc→metro5/dc1/dc/dc,21093.75,21093.75,21093.75,21093.75,21093.75 +metro2/dc1/dc/dc→metro1/dc1/dc/dc,17306.25,21093.75,21093.75,21093.75,21093.75 +metro2/dc1/dc/dc→metro5/dc1/dc/dc,21093.75,21093.75,21093.75,21093.75,21093.75 +metro5/dc1/dc/dc→metro1/dc1/dc/dc,21093.75,21093.75,21093.75,21093.75,21093.75 +metro5/dc1/dc/dc→metro2/dc1/dc/dc,21093.75,21093.75,21093.75,21093.75,21093.75 diff --git a/tests/data/scenarios_metrics/small_baseline/seed11/pairs_tm_norm.csv b/tests/data/scenarios_metrics/small_baseline/seed11/pairs_tm_norm.csv index 4438376..d882b39 100644 --- a/tests/data/scenarios_metrics/small_baseline/seed11/pairs_tm_norm.csv +++ b/tests/data/scenarios_metrics/small_baseline/seed11/pairs_tm_norm.csv @@ -1,7 +1,7 @@ ,p50.0,p90.0,p99.0,p99.9,p99.99 -metro1/dc1→metro5/dc1,1.0,1.0,1.0,1.0,1.0 -metro5/dc1→metro1/dc1,1.0,1.0,1.0,1.0,1.0 -metro2/dc1→metro5/dc1,1.0,1.0,1.0,1.0,1.0 -metro5/dc1→metro2/dc1,1.0,1.0,1.0,1.0,1.0 -metro1/dc1→metro2/dc1,0.8204444444444444,1.0,1.0,1.0,1.0 -metro2/dc1→metro1/dc1,0.8204444444444444,1.0,1.0,1.0,1.0 +metro1/dc1/dc/dc→metro2/dc1/dc/dc,0.8204444444444444,1.0,1.0,1.0,1.0 +metro1/dc1/dc/dc→metro5/dc1/dc/dc,1.0,1.0,1.0,1.0,1.0 +metro2/dc1/dc/dc→metro1/dc1/dc/dc,0.8204444444444444,1.0,1.0,1.0,1.0 +metro2/dc1/dc/dc→metro5/dc1/dc/dc,1.0,1.0,1.0,1.0,1.0 +metro5/dc1/dc/dc→metro1/dc1/dc/dc,1.0,1.0,1.0,1.0,1.0 +metro5/dc1/dc/dc→metro2/dc1/dc/dc,1.0,1.0,1.0,1.0,1.0 diff --git a/tests/data/scenarios_metrics/small_baseline/seed12/alpha.json b/tests/data/scenarios_metrics/small_baseline/seed12/alpha.json index 118d1e1..0be2abf 100644 --- a/tests/data/scenarios_metrics/small_baseline/seed12/alpha.json +++ b/tests/data/scenarios_metrics/small_baseline/seed12/alpha.json @@ -2,4 +2,4 @@ "alpha_star": 1.6875, "source": "msd_baseline", "base_total_demand": 90000.0 -} \ No newline at end of file +} diff --git a/tests/data/scenarios_metrics/small_baseline/seed12/bac.json b/tests/data/scenarios_metrics/small_baseline/seed12/bac.json index c8a5fce..c023dbf 100644 --- a/tests/data/scenarios_metrics/small_baseline/seed12/bac.json +++ b/tests/data/scenarios_metrics/small_baseline/seed12/bac.json @@ -14342,4 +14342,4 @@ } } } -} \ No newline at end of file +} diff --git a/tests/data/scenarios_metrics/small_baseline/seed12/costpower.json b/tests/data/scenarios_metrics/small_baseline/seed12/costpower.json index f0c98d3..b598cf7 100644 --- a/tests/data/scenarios_metrics/small_baseline/seed12/costpower.json +++ b/tests/data/scenarios_metrics/small_baseline/seed12/costpower.json @@ -5,4 +5,4 @@ "Watt_per_Gbit_offered": 1.5997893004115227, "USD_per_Gbit_p999": 1435.9375, "Watt_per_Gbit_p999": 18.981875 -} \ No newline at end of file +} diff --git a/tests/data/scenarios_metrics/small_baseline/seed12/iterops.json b/tests/data/scenarios_metrics/small_baseline/seed12/iterops.json index af43396..5555780 100644 --- a/tests/data/scenarios_metrics/small_baseline/seed12/iterops.json +++ b/tests/data/scenarios_metrics/small_baseline/seed12/iterops.json @@ -2,6 +2,6 @@ "iters_fail": 1000, "iters_total": 1001, "unique_patterns": 38, - "tm_duration_total_sec": 0.025259017944335938, - "tm_duration_per_iter_sec": 2.5233784160175762e-05 -} \ No newline at end of file + "tm_duration_total_sec": 0.022149085998535156, + "tm_duration_per_iter_sec": 2.212695903949566e-05 +} diff --git a/tests/data/scenarios_metrics/small_baseline/seed12/latency.json b/tests/data/scenarios_metrics/small_baseline/seed12/latency.json index 8eae6da..af04d95 100644 --- a/tests/data/scenarios_metrics/small_baseline/seed12/latency.json +++ b/tests/data/scenarios_metrics/small_baseline/seed12/latency.json @@ -1,5 +1,6 @@ { "baseline": { + "reference_coverage": 1.0, "p50": 1.0, "p95": 1.6376811594202898, "p99": 1.6376811594202898, @@ -15,7 +16,8 @@ "SLO_1_2": 0.505679012345679, "SLO_1_5": 0.722484058774605, "best_path_share": 0.4036263303113914, - "WES": 0.252079617031998 + "WES": 0.252079617031998, + "reference_coverage": 1.0 }, "derived": { "TD95": 1.0, @@ -7039,6 +7041,1008 @@ 0.1123151087595532, 0.1123151087595532, 0.1123151087595532 + ], + 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a/tests/data/scenarios_metrics/small_baseline/seed12/pairs_tm_abs.csv +++ b/tests/data/scenarios_metrics/small_baseline/seed12/pairs_tm_abs.csv @@ -1,7 +1,7 @@ ,p50.0,p90.0,p99.0,p99.9,p99.99 -metro1/dc1→metro2/dc1,25312.5,25312.5,25312.5,25312.5,25312.5 -metro2/dc1→metro1/dc1,25312.5,25312.5,25312.5,25312.5,25312.5 -metro2/dc1→metro5/dc1,19487.5,25312.5,25312.5,25312.5,25312.5 -metro5/dc1→metro2/dc1,19487.5,25312.5,25312.5,25312.5,25312.5 -metro1/dc1→metro5/dc1,12512.5,25312.5,25312.5,25312.5,25312.5 -metro5/dc1→metro1/dc1,12512.5,25312.5,25312.5,25312.5,25312.5 +metro1/dc1/dc/dc→metro2/dc1/dc/dc,25312.5,25312.5,25312.5,25312.5,25312.5 +metro1/dc1/dc/dc→metro5/dc1/dc/dc,12512.5,25312.5,25312.5,25312.5,25312.5 +metro2/dc1/dc/dc→metro1/dc1/dc/dc,25312.5,25312.5,25312.5,25312.5,25312.5 +metro2/dc1/dc/dc→metro5/dc1/dc/dc,19487.5,25312.5,25312.5,25312.5,25312.5 +metro5/dc1/dc/dc→metro1/dc1/dc/dc,12512.5,25312.5,25312.5,25312.5,25312.5 +metro5/dc1/dc/dc→metro2/dc1/dc/dc,19487.5,25312.5,25312.5,25312.5,25312.5 diff --git a/tests/data/scenarios_metrics/small_baseline/seed12/pairs_tm_norm.csv b/tests/data/scenarios_metrics/small_baseline/seed12/pairs_tm_norm.csv index 0972ae7..88a888b 100644 --- a/tests/data/scenarios_metrics/small_baseline/seed12/pairs_tm_norm.csv +++ b/tests/data/scenarios_metrics/small_baseline/seed12/pairs_tm_norm.csv @@ -1,7 +1,7 @@ ,p50.0,p90.0,p99.0,p99.9,p99.99 -metro1/dc1→metro2/dc1,1.0,1.0,1.0,1.0,1.0 -metro2/dc1→metro1/dc1,1.0,1.0,1.0,1.0,1.0 -metro2/dc1→metro5/dc1,0.7698765432098765,1.0,1.0,1.0,1.0 -metro5/dc1→metro2/dc1,0.7698765432098765,1.0,1.0,1.0,1.0 -metro1/dc1→metro5/dc1,0.494320987654321,1.0,1.0,1.0,1.0 -metro5/dc1→metro1/dc1,0.494320987654321,1.0,1.0,1.0,1.0 +metro1/dc1/dc/dc→metro2/dc1/dc/dc,1.0,1.0,1.0,1.0,1.0 +metro1/dc1/dc/dc→metro5/dc1/dc/dc,0.494320987654321,1.0,1.0,1.0,1.0 +metro2/dc1/dc/dc→metro1/dc1/dc/dc,1.0,1.0,1.0,1.0,1.0 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"macOS-26.6.1-arm64-arm-64bit-Mach-O", - "scenarios_root": "build/fixture-regeneration/run-3vevzd_6/scenarios", - "output_root": "build/fixture-regeneration/run-3vevzd_6/scenarios_metrics", - "git_commit": "2e0d966f1ed5cd30862877afd812d7ad2b124730" -} \ No newline at end of file + "platform": "macOS-27.0.1-arm64-arm-64bit-Mach-O", + "scenarios_root": "tests/data/scenarios", + "output_root": "tests/data/scenarios_metrics", + "packages": { + "netlab": { + "version": "0.3.0" + }, + "topogen": { + "version": "0.4.0", + "source": { + "url": "https://github.com/networmix/TopoGen", + "vcs_info": { + "commit_id": "3bf0fa4aa08604a886421461f7ce36dbd7275121", + "requested_revision": "main", + "vcs": "git" + } + } + }, + "ngraph": { + "version": "0.24.0" + }, + "netgraph-core": { + "version": "0.11.0" + }, + "numpy": { + "version": "2.5.3" + }, + "pandas": { + "version": "3.0.6" + }, + "scipy": { + "version": "1.18.1" + }, + "matplotlib": { + "version": "3.11.2" + }, + "seaborn": { + "version": "0.13.2" + } + } +} diff --git a/tests/data/scenarios_metrics/small_clos/seed11/alpha.json b/tests/data/scenarios_metrics/small_clos/seed11/alpha.json index 6e1ff5b..caf92a6 100644 --- a/tests/data/scenarios_metrics/small_clos/seed11/alpha.json +++ b/tests/data/scenarios_metrics/small_clos/seed11/alpha.json @@ -2,4 +2,4 @@ "alpha_star": 1.40625, "source": "msd_baseline", "base_total_demand": 90000.0 -} \ No newline at end of file +} diff --git a/tests/data/scenarios_metrics/small_clos/seed11/bac.json b/tests/data/scenarios_metrics/small_clos/seed11/bac.json index 538204b..5ecdc7d 100644 --- a/tests/data/scenarios_metrics/small_clos/seed11/bac.json +++ b/tests/data/scenarios_metrics/small_clos/seed11/bac.json @@ -14342,4 +14342,4 @@ } } } -} \ No newline at end of file +} diff --git a/tests/data/scenarios_metrics/small_clos/seed11/costpower.json b/tests/data/scenarios_metrics/small_clos/seed11/costpower.json index b58c1be..7920139 100644 --- a/tests/data/scenarios_metrics/small_clos/seed11/costpower.json +++ b/tests/data/scenarios_metrics/small_clos/seed11/costpower.json @@ -5,4 +5,4 @@ "Watt_per_Gbit_offered": 3.1684582716049383, "USD_per_Gbit_p999": 2815.0, "Watt_per_Gbit_p999": 31.32875 -} \ No newline at end of file +} diff --git a/tests/data/scenarios_metrics/small_clos/seed11/iterops.json b/tests/data/scenarios_metrics/small_clos/seed11/iterops.json index 59a77a5..9e63fc5 100644 --- a/tests/data/scenarios_metrics/small_clos/seed11/iterops.json +++ b/tests/data/scenarios_metrics/small_clos/seed11/iterops.json @@ -2,6 +2,6 @@ "iters_fail": 1000, "iters_total": 1001, "unique_patterns": 577, - "tm_duration_total_sec": 0.5695979595184326, - "tm_duration_per_iter_sec": 0.0005690289305878448 -} \ No newline at end of file + "tm_duration_total_sec": 0.6335148811340332, + "tm_duration_per_iter_sec": 0.0006328819991348983 +} diff --git a/tests/data/scenarios_metrics/small_clos/seed11/latency.json 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-metro5/dc1→metro2/dc1,21093.75,21093.75,21093.75,21093.75,21093.75 -metro1/dc1→metro2/dc1,21093.75,21093.75,21093.75,21093.75,21093.75 -metro2/dc1→metro1/dc1,21093.75,21093.75,21093.75,21093.75,21093.75 +metro1/dc1/dc/dc→metro2/dc1/dc/dc,21093.75,21093.75,21093.75,21093.75,21093.75 +metro1/dc1/dc/dc→metro5/dc1/dc/dc,21093.75,21093.75,21093.75,21093.75,21093.75 +metro2/dc1/dc/dc→metro1/dc1/dc/dc,21093.75,21093.75,21093.75,21093.75,21093.75 +metro2/dc1/dc/dc→metro5/dc1/dc/dc,21093.75,21093.75,21093.75,21093.75,21093.75 +metro5/dc1/dc/dc→metro1/dc1/dc/dc,21093.75,21093.75,21093.75,21093.75,21093.75 +metro5/dc1/dc/dc→metro2/dc1/dc/dc,21093.75,21093.75,21093.75,21093.75,21093.75 diff --git a/tests/data/scenarios_metrics/small_clos/seed11/pairs_tm_norm.csv b/tests/data/scenarios_metrics/small_clos/seed11/pairs_tm_norm.csv index c303816..34f5db9 100644 --- a/tests/data/scenarios_metrics/small_clos/seed11/pairs_tm_norm.csv +++ b/tests/data/scenarios_metrics/small_clos/seed11/pairs_tm_norm.csv @@ -1,7 +1,7 @@ ,p50.0,p90.0,p99.0,p99.9,p99.99 -metro1/dc1→metro5/dc1,1.0,1.0,1.0,1.0,1.0 -metro5/dc1→metro1/dc1,1.0,1.0,1.0,1.0,1.0 -metro2/dc1→metro5/dc1,1.0,1.0,1.0,1.0,1.0 -metro5/dc1→metro2/dc1,1.0,1.0,1.0,1.0,1.0 -metro1/dc1→metro2/dc1,1.0,1.0,1.0,1.0,1.0 -metro2/dc1→metro1/dc1,1.0,1.0,1.0,1.0,1.0 +metro1/dc1/dc/dc→metro2/dc1/dc/dc,1.0,1.0,1.0,1.0,1.0 +metro1/dc1/dc/dc→metro5/dc1/dc/dc,1.0,1.0,1.0,1.0,1.0 +metro2/dc1/dc/dc→metro1/dc1/dc/dc,1.0,1.0,1.0,1.0,1.0 +metro2/dc1/dc/dc→metro5/dc1/dc/dc,1.0,1.0,1.0,1.0,1.0 +metro5/dc1/dc/dc→metro1/dc1/dc/dc,1.0,1.0,1.0,1.0,1.0 +metro5/dc1/dc/dc→metro2/dc1/dc/dc,1.0,1.0,1.0,1.0,1.0 diff --git a/tests/data/scenarios_metrics/small_clos/seed12/alpha.json b/tests/data/scenarios_metrics/small_clos/seed12/alpha.json index 118d1e1..0be2abf 100644 --- a/tests/data/scenarios_metrics/small_clos/seed12/alpha.json +++ b/tests/data/scenarios_metrics/small_clos/seed12/alpha.json @@ -2,4 +2,4 @@ "alpha_star": 1.6875, "source": "msd_baseline", "base_total_demand": 90000.0 -} \ No newline at end of file +} diff --git a/tests/data/scenarios_metrics/small_clos/seed12/bac.json b/tests/data/scenarios_metrics/small_clos/seed12/bac.json index c59f4ac..26ba52d 100644 --- a/tests/data/scenarios_metrics/small_clos/seed12/bac.json +++ b/tests/data/scenarios_metrics/small_clos/seed12/bac.json @@ -14342,4 +14342,4 @@ } } } -} \ No newline at end of file +} diff --git a/tests/data/scenarios_metrics/small_clos/seed12/costpower.json b/tests/data/scenarios_metrics/small_clos/seed12/costpower.json index 3c3c3da..9798c2a 100644 --- a/tests/data/scenarios_metrics/small_clos/seed12/costpower.json +++ b/tests/data/scenarios_metrics/small_clos/seed12/costpower.json @@ -5,4 +5,4 @@ "Watt_per_Gbit_offered": 2.640381893004115, "USD_per_Gbit_p999": 2815.0, "Watt_per_Gbit_p999": 31.32875 -} \ No newline at end of file +} diff --git a/tests/data/scenarios_metrics/small_clos/seed12/iterops.json b/tests/data/scenarios_metrics/small_clos/seed12/iterops.json index 8bbb324..b406240 100644 --- a/tests/data/scenarios_metrics/small_clos/seed12/iterops.json +++ b/tests/data/scenarios_metrics/small_clos/seed12/iterops.json @@ -2,6 +2,6 @@ "iters_fail": 1000, "iters_total": 1001, "unique_patterns": 569, - "tm_duration_total_sec": 0.29893994331359863, - "tm_duration_per_iter_sec": 0.00029864130201158706 -} \ No newline at end of file + "tm_duration_total_sec": 0.4235048294067383, + "tm_duration_per_iter_sec": 0.0004230817476590792 +} diff --git a/tests/data/scenarios_metrics/small_clos/seed12/latency.json b/tests/data/scenarios_metrics/small_clos/seed12/latency.json index d281a11..2f4fa46 100644 --- a/tests/data/scenarios_metrics/small_clos/seed12/latency.json +++ b/tests/data/scenarios_metrics/small_clos/seed12/latency.json @@ -1,5 +1,6 @@ { "baseline": { + "reference_coverage": 1.0, "p50": 1.0, "p95": 1.6376811594202898, "p99": 1.6376811594202898, @@ -15,7 +16,8 @@ "SLO_1_2": 0.505679012345679, "SLO_1_5": 0.8352263374485597, "best_path_share": 0.48460905349794237, - "WES": 0.18048628147091336 + "WES": 0.18048628147091336, + "reference_coverage": 1.0 }, "derived": { "TD95": 1.0, @@ -7039,6 +7041,1008 @@ 0.20401290584816276, 0.18048672570330715, 0.18041569903026725 + ], + "reference_coverage": [ + 1.0, + 1.0, + 1.0, + 1.0, + 1.0, + 1.0, + 1.0, + 1.0, + 1.0, + 1.0, + 1.0, + 1.0, + 1.0, + 1.0, + 1.0, + 1.0, + 1.0, + 1.0, + 1.0, + 1.0, + 1.0, + 1.0, + 1.0, + 1.0, + 1.0, + 1.0, + 1.0, + 1.0, + 1.0, + 1.0, + 1.0, + 1.0, + 1.0, + 1.0, + 1.0, + 1.0, + 1.0, + 1.0, + 1.0, + 1.0, + 1.0, + 1.0, + 1.0, + 1.0, + 1.0, + 1.0, + 1.0, + 1.0, + 1.0, + 1.0, + 1.0, + 1.0, + 1.0, + 1.0, + 1.0, + 1.0, + 1.0, + 1.0, + 1.0, + 1.0, + 1.0, + 1.0, + 1.0, + 1.0, + 1.0, + 1.0, + 1.0, + 1.0, + 1.0, + 1.0, + 1.0, + 1.0, + 1.0, + 1.0, + 1.0, + 1.0, + 1.0, + 1.0, + 1.0, + 1.0, + 1.0, + 1.0, + 1.0, + 1.0, + 1.0, + 1.0, + 1.0, + 1.0, + 1.0, + 1.0, + 1.0, + 1.0, + 1.0, + 1.0, + 1.0, + 1.0, + 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+metro2/dc1/dc/dc→metro1/dc1/dc/dc,25312.5,25312.5,25312.5,25312.5,25312.5 +metro2/dc1/dc/dc→metro5/dc1/dc/dc,25312.5,25312.5,25312.5,25312.5,25312.5 +metro5/dc1/dc/dc→metro1/dc1/dc/dc,25312.5,25312.5,25312.5,25312.5,25312.5 +metro5/dc1/dc/dc→metro2/dc1/dc/dc,25312.5,25312.5,25312.5,25312.5,25312.5 diff --git a/tests/data/scenarios_metrics/small_clos/seed12/pairs_tm_norm.csv b/tests/data/scenarios_metrics/small_clos/seed12/pairs_tm_norm.csv index 7a72021..34f5db9 100644 --- a/tests/data/scenarios_metrics/small_clos/seed12/pairs_tm_norm.csv +++ b/tests/data/scenarios_metrics/small_clos/seed12/pairs_tm_norm.csv @@ -1,7 +1,7 @@ ,p50.0,p90.0,p99.0,p99.9,p99.99 -metro1/dc1→metro2/dc1,1.0,1.0,1.0,1.0,1.0 -metro2/dc1→metro1/dc1,1.0,1.0,1.0,1.0,1.0 -metro2/dc1→metro5/dc1,1.0,1.0,1.0,1.0,1.0 -metro5/dc1→metro2/dc1,1.0,1.0,1.0,1.0,1.0 -metro1/dc1→metro5/dc1,1.0,1.0,1.0,1.0,1.0 -metro5/dc1→metro1/dc1,1.0,1.0,1.0,1.0,1.0 +metro1/dc1/dc/dc→metro2/dc1/dc/dc,1.0,1.0,1.0,1.0,1.0 +metro1/dc1/dc/dc→metro5/dc1/dc/dc,1.0,1.0,1.0,1.0,1.0 +metro2/dc1/dc/dc→metro1/dc1/dc/dc,1.0,1.0,1.0,1.0,1.0 +metro2/dc1/dc/dc→metro5/dc1/dc/dc,1.0,1.0,1.0,1.0,1.0 +metro5/dc1/dc/dc→metro1/dc1/dc/dc,1.0,1.0,1.0,1.0,1.0 +metro5/dc1/dc/dc→metro2/dc1/dc/dc,1.0,1.0,1.0,1.0,1.0 diff --git a/tests/data/scenarios_metrics/small_dragonfly/alpha_summary.json b/tests/data/scenarios_metrics/small_dragonfly/alpha_summary.json index f51da0c..d00fbb1 100644 --- a/tests/data/scenarios_metrics/small_dragonfly/alpha_summary.json +++ b/tests/data/scenarios_metrics/small_dragonfly/alpha_summary.json @@ -3,4 +3,4 @@ "median": 1.546875, "q25": 1.4765625, "q75": 1.6171875 -} \ No newline at end of file +} diff --git a/tests/data/scenarios_metrics/small_dragonfly/bac_summary.json b/tests/data/scenarios_metrics/small_dragonfly/bac_summary.json index fc12639..c6db0f7 100644 --- a/tests/data/scenarios_metrics/small_dragonfly/bac_summary.json +++ b/tests/data/scenarios_metrics/small_dragonfly/bac_summary.json @@ 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+1,44 @@ { - "generated_at": "2026-10-02T02:50:26.524005+00:00", + "generated_at": "2026-10-04T21:29:27.020657+00:00", "python": "3.13.13 (main, May 10 2026, 19:20:37) [Clang 22.1.3 ]", - "platform": "macOS-26.6.1-arm64-arm-64bit-Mach-O", - "scenarios_root": "build/fixture-regeneration/run-3vevzd_6/scenarios", - "output_root": "build/fixture-regeneration/run-3vevzd_6/scenarios_metrics", - "git_commit": "2e0d966f1ed5cd30862877afd812d7ad2b124730" -} \ No newline at end of file + "platform": "macOS-27.0.1-arm64-arm-64bit-Mach-O", + "scenarios_root": "tests/data/scenarios", + "output_root": "tests/data/scenarios_metrics", + "packages": { + "netlab": { + "version": "0.3.0" + }, + "topogen": { + "version": "0.4.0", + "source": { + "url": "https://github.com/networmix/TopoGen", + "vcs_info": { + "commit_id": "3bf0fa4aa08604a886421461f7ce36dbd7275121", + "requested_revision": "main", + "vcs": "git" + } + } + }, + "ngraph": { + "version": "0.24.0" + }, + "netgraph-core": { + "version": "0.11.0" + }, + "numpy": { + "version": "2.5.3" + }, + "pandas": { + "version": "3.0.6" + }, + "scipy": { + "version": "1.18.1" + }, + "matplotlib": { + "version": "3.11.2" + }, + "seaborn": { + "version": "0.13.2" + } + } +} diff --git a/tests/data/scenarios_metrics/small_dragonfly/seed11/alpha.json b/tests/data/scenarios_metrics/small_dragonfly/seed11/alpha.json index 6e1ff5b..caf92a6 100644 --- a/tests/data/scenarios_metrics/small_dragonfly/seed11/alpha.json +++ b/tests/data/scenarios_metrics/small_dragonfly/seed11/alpha.json @@ -2,4 +2,4 @@ "alpha_star": 1.40625, "source": "msd_baseline", "base_total_demand": 90000.0 -} \ No newline at end of file +} diff --git a/tests/data/scenarios_metrics/small_dragonfly/seed11/bac.json b/tests/data/scenarios_metrics/small_dragonfly/seed11/bac.json index 0579a26..807a759 100644 --- a/tests/data/scenarios_metrics/small_dragonfly/seed11/bac.json +++ b/tests/data/scenarios_metrics/small_dragonfly/seed11/bac.json @@ -196,8 +196,8 @@ 124212.49999999997, 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123342.26190476185, + 123342.26190476185, 126562.5, 126562.5, 126562.5, @@ -616,7 +616,7 @@ 125780.3571428571, 125780.3571428571, 125780.3571428571, - 124561.30952380947, + 124561.30952380948, 126562.5, 126562.5, 125780.3571428571, @@ -627,6 +627,7 @@ 125780.3571428571, 125780.3571428571, 126562.5, + 126562.50000000001, 126562.5, 126562.5, 126562.5, @@ -635,8 +636,7 @@ 126562.5, 126562.5, 126562.5, - 126562.5, - 126562.5, + 126562.50000000001, 126562.5, 126562.5, 126562.5, @@ -650,28 +650,28 @@ 126562.5, 126562.5, 126562.5, - 126562.5, + 126562.50000000001, 126562.5, 126562.5, 125780.3571428571, 125780.3571428571, 126562.5, 126562.5, + 126562.50000000001, 126562.5, 126562.5, 126562.5, - 126562.5, - 126562.5, + 126562.50000000001, 125780.3571428571, + 126562.50000000001, + 126562.50000000001, 126562.5, 126562.5, 126562.5, 126562.5, + 126562.50000000001, 126562.5, - 126562.5, - 126562.5, - 126562.5, - 126562.5, + 126562.50000000001, 126562.5, 126562.5, 125780.3571428571, @@ -681,9 +681,8 @@ 125780.3571428571, 126562.5, 126562.5, - 124561.30952380947, - 124561.30952380947, - 126562.5, + 124561.30952380948, + 124561.30952380948, 126562.5, 126562.5, 126562.5, @@ -691,9 +690,10 @@ 126562.5, 126562.5, 126562.5, + 126562.50000000001, 126562.5, 126562.5, - 123342.26190476184, + 123342.26190476185, 126562.5, 126562.5, 126562.5, @@ -709,19 +709,19 @@ 126562.5, 126562.5, 126562.5, - 126562.5, + 126562.50000000001, 126562.5, 125780.3571428571, 125780.3571428571, 125780.3571428571, 125780.3571428571, + 126562.50000000001, 126562.5, 126562.5, 126562.5, - 126562.5, - 123342.26190476184, - 123342.26190476184, - 123342.26190476184, + 123342.26190476185, + 123342.26190476185, + 123342.26190476185, 126562.5, 126562.5, 126562.5, @@ -769,19 +769,19 @@ 126562.5, 126562.5, 126562.5, + 126562.50000000001, + 126562.50000000001, 126562.5, + 126562.50000000001, 126562.5, 126562.5, 126562.5, 126562.5, 126562.5, 126562.5, - 126562.5, - 126562.5, - 126562.5, - 123342.26190476184, - 123342.26190476184, - 123342.26190476184, + 123342.26190476185, + 123342.26190476185, + 123342.26190476185, 126562.5, 126562.5, 126562.5, @@ -789,6 +789,7 @@ 125780.3571428571, 126562.5, 126562.5, + 126562.50000000001, 126562.5, 126562.5, 126562.5, @@ -803,22 +804,21 @@ 126562.5, 126562.5, 126562.5, + 126562.50000000001, + 126562.50000000003, 126562.5, - 126562.5, - 126562.5, - 126562.5, - 124561.30952380947, - 126562.5, + 124561.30952380948, 126562.5, 126562.5, 126562.5, 126562.5, 126562.5, 126562.5, + 126562.50000000001, 126562.5, 125780.3571428571, 126562.5, - 126562.5, + 126562.50000000003, 126562.5, 126562.5, 126562.5, @@ -827,21 +827,21 @@ 125780.3571428571, 126562.5, 126562.5, - 126562.5, - 124561.30952380947, - 126562.5, + 126562.50000000001, + 124561.30952380948, 126562.5, 126562.5, 126562.5, 126562.5, 126562.5, 126562.5, - 123342.26190476184, 126562.5, + 123342.26190476185, 126562.5, 126562.5, 126562.5, 126562.5, + 126562.50000000001, 126562.5, 126562.5, 126562.5, @@ -854,14 +854,14 @@ 126562.5, 126562.5, 126562.5, - 126562.5, + 126562.50000000001, 126562.5, 125780.3571428571, 125780.3571428571, 126562.5, 126562.5, - 123342.26190476184, - 123342.26190476184, + 123342.26190476185, + 123342.26190476185, 126562.5, 126562.5, 126562.5, @@ -870,20 +870,20 @@ 126562.5, 126562.5, 126562.5, - 124561.30952380947, - 124561.30952380947, - 124561.30952380947, - 124561.30952380947, + 124561.30952380948, + 124561.30952380948, + 124561.30952380948, + 124561.30952380948, 126562.5, 126562.5, 126562.5, 125780.3571428571, 125780.3571428571, + 126562.50000000001, 126562.5, 126562.5, 126562.5, - 126562.5, - 126562.5, + 126562.50000000001, 126562.5, 126562.5, 126562.5, @@ -903,7 +903,7 @@ 126562.5, 126562.5, 126562.5, - 123342.26190476184, + 123342.26190476185, 126562.5, 126562.5, 126562.5, @@ -913,8 +913,8 @@ 126562.5, 126562.5, 126562.5, - 123342.26190476184, - 123342.26190476184, + 123342.26190476185, + 123342.26190476185, 126562.5, 126562.5, 126562.5, @@ -927,26 +927,26 @@ 126562.5, 126562.5, 126562.5, + 126562.50000000001, 126562.5, 126562.5, 126562.5, 126562.5, 126562.5, 126562.5, + 126562.50000000001, + 126562.50000000001, 126562.5, + 126562.50000000001, + 126562.50000000001, 126562.5, - 126562.5, - 126562.5, - 126562.5, - 126562.5, - 126562.5, - 126562.5, + 126562.50000000001, 125780.3571428571, 126562.5, 126562.5, 126562.5, 126562.5, - 126562.5, + 126562.50000000001, 126562.5, 126562.5, 125780.3571428571, @@ -954,7 +954,7 @@ 125780.3571428571, 126562.5, 126562.5, - 123342.26190476184, + 123342.26190476185, 126562.5, 126562.5, 126562.5, @@ -965,10 +965,10 @@ 126562.5, 126562.5, 126562.5, + 126562.50000000001, 126562.5, 126562.5, - 126562.5, - 126562.5, + 126562.50000000001, 126562.5, 126562.5, 126562.5, @@ -991,7 +991,7 @@ 125780.3571428571, 126562.5, 126562.5, - 126562.5, + 126562.50000000001, 126562.5, 126562.5, 126562.5, @@ -2011,18 +2011,18 @@ "quantiles_abs": { "0.5": 126562.5, "0.9": 126562.5, - "0.95": 126562.5, - "0.99": 126562.5, - "0.999": 126562.50000000001, - "0.9999": 126562.50000000001 + "0.95": 126562.50000000001, + "0.99": 126562.50000000001, + "0.999": 126562.50000000003, + "0.9999": 126562.50000000003 }, "quantiles_pct": { "0.5": 1.0, "0.9": 1.0, - "0.95": 1.0, - "0.99": 1.0, - "0.999": 1.0, - "0.9999": 1.0 + "0.95": 1.0000000000000002, + "0.99": 1.0000000000000002, + "0.999": 1.0000000000000002, + "0.9999": 1.0000000000000002 }, "availability_at_pct_of_offer": { "90.0": 0.8321678321678322, @@ -8166,10 +8166,10 @@ "quantiles_pct": { "0.5": 1.0, "0.9": 1.0, - "0.95": 1.0, - "0.99": 1.0, - "0.999": 1.0, - "0.9999": 1.0 + "0.95": 1.0000000000000002, + "0.99": 1.0000000000000002, + "0.999": 1.0000000000000002, + "0.9999": 1.0000000000000002 }, "availability_at_pct_of_offer": { "90.0": 0.8901098901098901, @@ -10214,11 +10214,11 @@ }, "quantiles_pct": { "0.5": 1.0, - "0.9": 1.0, - "0.95": 1.0, - "0.99": 1.0, - "0.999": 1.0, - "0.9999": 1.0 + "0.9": 1.0000000000000002, + "0.95": 1.0000000000000002, + "0.99": 1.0000000000000002, + "0.999": 1.0000000000000002, + "0.9999": 1.0000000000000002 }, "availability_at_pct_of_offer": { "90.0": 0.8901098901098901, @@ -12263,11 +12263,11 @@ }, "quantiles_pct": { "0.5": 0.9999999999999998, - "0.9": 1.0, - "0.95": 1.0, - "0.99": 1.0, - "0.999": 1.0, - "0.9999": 1.0 + "0.9": 1.0000000000000002, + "0.95": 1.0000000000000002, + "0.99": 1.0000000000000004, + "0.999": 1.0000000000000004, + "0.9999": 1.0000000000000004 }, "availability_at_pct_of_offer": { "90.0": 0.906093906093906, @@ -14312,11 +14312,11 @@ }, "quantiles_pct": { "0.5": 0.9999999999999998, - "0.9": 1.0, - "0.95": 1.0, - "0.99": 1.0, - "0.999": 1.0, - "0.9999": 1.0 + "0.9": 1.0000000000000002, + "0.95": 1.0000000000000002, + "0.99": 1.0000000000000002, + "0.999": 1.0000000000000004, + "0.9999": 1.0000000000000004 }, "availability_at_pct_of_offer": { "90.0": 0.906093906093906, @@ -14342,4 +14342,4 @@ } } } -} \ No newline at end of file +} diff --git a/tests/data/scenarios_metrics/small_dragonfly/seed11/bac_series.csv b/tests/data/scenarios_metrics/small_dragonfly/seed11/bac_series.csv index cdc43a3..5d6f301 100644 --- a/tests/data/scenarios_metrics/small_dragonfly/seed11/bac_series.csv +++ b/tests/data/scenarios_metrics/small_dragonfly/seed11/bac_series.csv @@ -193,8 +193,8 @@ iteration,delivered 191,124212.49999999997 192,124212.49999999997 193,126562.5 -194,123342.26190476184 -195,123342.26190476184 +194,123342.26190476185 +195,123342.26190476185 196,126562.5 197,126562.5 198,126562.5 @@ -218,12 +218,12 @@ iteration,delivered 216,125780.3571428571 217,125780.3571428571 218,125780.3571428571 -219,123342.26190476184 -220,123342.26190476184 +219,123342.26190476185 +220,123342.26190476185 221,126562.5 222,126562.5 -223,124561.30952380947 -224,124561.30952380947 +223,124561.30952380948 +224,124561.30952380948 225,126562.5 226,126562.5 227,126562.5 @@ -236,12 +236,12 @@ iteration,delivered 234,125780.3571428571 235,125780.3571428571 236,126562.5 -237,126562.5 +237,126562.50000000001 238,126562.5 239,126562.5 240,126562.5 241,126562.50000000001 -242,124561.30952380947 +242,124561.30952380948 243,126562.5 244,126562.5 245,126562.5 @@ -257,20 +257,20 @@ iteration,delivered 255,125780.3571428571 256,125780.3571428571 257,126562.5 -258,126562.5 +258,126562.50000000001 259,126562.5 260,126562.5 -261,126562.5 +261,126562.50000000001 262,126562.5 -263,124561.30952380947 -264,124561.30952380947 -265,124561.30952380947 +263,124561.30952380948 +264,124561.30952380948 +265,124561.30952380948 266,126562.5 267,126562.5 268,126562.5 269,126562.5 -270,123342.26190476184 -271,123342.26190476184 +270,123342.26190476185 +271,123342.26190476185 272,126562.5 273,126562.5 274,125780.3571428571 @@ -355,8 +355,8 @@ iteration,delivered 353,126562.5 354,126562.5 355,126562.5 -356,123342.26190476184 -357,123342.26190476184 +356,123342.26190476185 +357,123342.26190476185 358,126562.5 359,125780.3571428571 360,125780.3571428571 @@ -364,9 +364,9 @@ iteration,delivered 362,126562.5 363,126562.5 364,126562.5 -365,124561.30952380947 -366,124561.30952380947 -367,124561.30952380947 +365,124561.30952380948 +366,124561.30952380948 +367,124561.30952380948 368,42187.5 369,42187.5 370,42187.5 @@ -383,22 +383,22 @@ iteration,delivered 381,42187.5 382,42187.5 383,126562.5 -384,126562.5 +384,126562.50000000001 385,126562.5 -386,126562.5 +386,126562.50000000001 387,126562.5 388,126562.5 389,126562.5 -390,126562.5 +390,126562.50000000001 391,126562.5 392,126562.5 393,126562.5 394,126562.5 395,126562.5 396,126562.5 -397,124561.30952380947 -398,124561.30952380947 -399,124561.30952380947 +397,124561.30952380948 +398,124561.30952380948 +399,124561.30952380948 400,126562.5 401,126562.5 402,125780.3571428571 @@ -407,16 +407,16 @@ iteration,delivered 405,126562.5 406,126562.5 407,126562.5 -408,126562.5 -409,124561.30952380947 -410,124561.30952380947 +408,126562.50000000001 +409,124561.30952380948 +410,124561.30952380948 411,126562.5 412,126562.5 -413,123342.26190476184 -414,123342.26190476184 -415,123342.26190476184 -416,123342.26190476184 -417,123342.26190476184 +413,123342.26190476185 +414,123342.26190476185 +415,123342.26190476185 +416,123342.26190476185 +417,123342.26190476185 418,125780.3571428571 419,125780.3571428571 420,125780.3571428571 @@ -426,16 +426,16 @@ iteration,delivered 424,125780.3571428571 425,126562.5 426,126562.5 -427,124561.30952380947 -428,124561.30952380947 -429,124561.30952380947 -430,124561.30952380947 -431,124561.30952380947 -432,124561.30952380947 -433,124561.30952380947 -434,124561.30952380947 -435,124561.30952380947 -436,124561.30952380947 +427,124561.30952380948 +428,124561.30952380948 +429,124561.30952380948 +430,124561.30952380948 +431,124561.30952380948 +432,124561.30952380948 +433,124561.30952380948 +434,124561.30952380948 +435,124561.30952380948 +436,124561.30952380948 437,125780.3571428571 438,125780.3571428571 439,125780.3571428571 @@ -444,8 +444,8 @@ iteration,delivered 442,126562.5 443,125780.3571428571 444,125780.3571428571 -445,124561.30952380947 -446,124561.30952380947 +445,124561.30952380948 +446,124561.30952380948 447,126562.5 448,126562.5 449,126562.5 @@ -457,12 +457,12 @@ iteration,delivered 455,126562.5 456,126562.5 457,126562.5 -458,124561.30952380947 -459,124561.30952380947 -460,124561.30952380947 -461,124561.30952380947 -462,124561.30952380947 -463,124561.30952380947 +458,124561.30952380948 +459,124561.30952380948 +460,124561.30952380948 +461,124561.30952380948 +462,124561.30952380948 +463,124561.30952380948 464,126562.5 465,125780.3571428571 466,125780.3571428571 @@ -476,7 +476,7 @@ iteration,delivered 474,125780.3571428571 475,125780.3571428571 476,126562.5 -477,126562.5 +477,126562.50000000001 478,126562.5 479,126562.5 480,125780.3571428571 @@ -494,7 +494,7 @@ iteration,delivered 492,126562.5 493,126562.5 494,126562.5 -495,126562.5 +495,126562.50000000001 496,126562.5 497,126562.5 498,125780.3571428571 @@ -502,21 +502,21 @@ iteration,delivered 500,126562.5 501,126562.5 502,126562.5 -503,123342.26190476184 -504,123342.26190476184 -505,123342.26190476184 -506,123342.26190476184 -507,123342.26190476184 +503,123342.26190476185 +504,123342.26190476185 +505,123342.26190476185 +506,123342.26190476185 +507,123342.26190476185 508,126562.5 509,126562.5 510,126562.5 -511,126562.5 +511,126562.50000000001 512,126562.5 -513,124561.30952380947 +513,124561.30952380948 514,126562.5 -515,126562.5 +515,126562.50000000001 516,126562.5 -517,126562.5 +517,126562.50000000001 518,126562.5 519,125780.3571428571 520,125780.3571428571 @@ -535,8 +535,8 @@ iteration,delivered 533,126562.5 534,126562.5 535,126562.5 -536,123342.26190476184 -537,123342.26190476184 +536,123342.26190476185 +537,123342.26190476185 538,126562.5 539,126562.5 540,126562.5 @@ -545,7 +545,7 @@ iteration,delivered 543,126562.5 544,126562.5 545,126562.5 -546,126562.5 +546,126562.50000000001 547,126562.5 548,126562.5 549,126562.5 @@ -559,7 +559,7 @@ iteration,delivered 557,126562.5 558,126562.5 559,126562.5 -560,123342.26190476184 +560,123342.26190476185 561,126562.5 562,126562.5 563,126562.5 @@ -567,7 +567,7 @@ iteration,delivered 565,126562.5 566,126562.5 567,126562.5 -568,126562.5 +568,126562.50000000001 569,126562.5 570,125780.3571428571 571,126562.5 @@ -597,8 +597,8 @@ iteration,delivered 595,126562.5 596,126562.5 597,126562.5 -598,123342.26190476184 -599,123342.26190476184 +598,123342.26190476185 +599,123342.26190476185 600,126562.5 601,126562.5 602,126562.5 @@ -613,7 +613,7 @@ iteration,delivered 611,125780.3571428571 612,125780.3571428571 613,125780.3571428571 -614,124561.30952380947 +614,124561.30952380948 615,126562.5 616,126562.5 617,125780.3571428571 @@ -624,7 +624,7 @@ iteration,delivered 622,125780.3571428571 623,125780.3571428571 624,126562.5 -625,126562.5 +625,126562.50000000001 626,126562.5 627,126562.5 628,126562.5 @@ -633,7 +633,7 @@ iteration,delivered 631,126562.5 632,126562.5 633,126562.5 -634,126562.5 +634,126562.50000000001 635,126562.5 636,126562.5 637,126562.5 @@ -647,28 +647,28 @@ iteration,delivered 645,126562.5 646,126562.5 647,126562.5 -648,126562.5 +648,126562.50000000001 649,126562.5 650,126562.5 651,125780.3571428571 652,125780.3571428571 653,126562.5 654,126562.5 -655,126562.5 +655,126562.50000000001 656,126562.5 657,126562.5 658,126562.5 -659,126562.5 +659,126562.50000000001 660,125780.3571428571 -661,126562.5 -662,126562.5 +661,126562.50000000001 +662,126562.50000000001 663,126562.5 664,126562.5 665,126562.5 666,126562.5 -667,126562.5 +667,126562.50000000001 668,126562.5 -669,126562.5 +669,126562.50000000001 670,126562.5 671,126562.5 672,125780.3571428571 @@ -678,8 +678,8 @@ iteration,delivered 676,125780.3571428571 677,126562.5 678,126562.5 -679,124561.30952380947 -680,124561.30952380947 +679,124561.30952380948 +680,124561.30952380948 681,126562.5 682,126562.5 683,126562.5 @@ -687,10 +687,10 @@ iteration,delivered 685,126562.5 686,126562.5 687,126562.5 -688,126562.5 +688,126562.50000000001 689,126562.5 690,126562.5 -691,123342.26190476184 +691,123342.26190476185 692,126562.5 693,126562.5 694,126562.5 @@ -706,19 +706,19 @@ iteration,delivered 704,126562.5 705,126562.5 706,126562.5 -707,126562.5 +707,126562.50000000001 708,126562.5 709,125780.3571428571 710,125780.3571428571 711,125780.3571428571 712,125780.3571428571 -713,126562.5 +713,126562.50000000001 714,126562.5 715,126562.5 716,126562.5 -717,123342.26190476184 -718,123342.26190476184 -719,123342.26190476184 +717,123342.26190476185 +718,123342.26190476185 +719,123342.26190476185 720,126562.5 721,126562.5 722,126562.5 @@ -766,19 +766,19 @@ iteration,delivered 764,126562.5 765,126562.5 766,126562.5 -767,126562.5 -768,126562.5 +767,126562.50000000001 +768,126562.50000000001 769,126562.5 -770,126562.5 +770,126562.50000000001 771,126562.5 772,126562.5 773,126562.5 774,126562.5 775,126562.5 776,126562.5 -777,123342.26190476184 -778,123342.26190476184 -779,123342.26190476184 +777,123342.26190476185 +778,123342.26190476185 +779,123342.26190476185 780,126562.5 781,126562.5 782,126562.5 @@ -786,7 +786,7 @@ iteration,delivered 784,125780.3571428571 785,126562.5 786,126562.5 -787,126562.5 +787,126562.50000000001 788,126562.5 789,126562.5 790,126562.5 @@ -801,21 +801,21 @@ iteration,delivered 799,126562.5 800,126562.5 801,126562.5 -802,126562.5 -803,126562.5 +802,126562.50000000001 +803,126562.50000000003 804,126562.5 -805,124561.30952380947 +805,124561.30952380948 806,126562.5 807,126562.5 808,126562.5 809,126562.5 810,126562.5 811,126562.5 -812,126562.5 +812,126562.50000000001 813,126562.5 814,125780.3571428571 815,126562.5 -816,126562.5 +816,126562.50000000003 817,126562.5 818,126562.5 819,126562.5 @@ -824,8 +824,8 @@ iteration,delivered 822,125780.3571428571 823,126562.5 824,126562.5 -825,126562.5 -826,124561.30952380947 +825,126562.50000000001 +826,124561.30952380948 827,126562.5 828,126562.5 829,126562.5 @@ -833,12 +833,12 @@ iteration,delivered 831,126562.5 832,126562.5 833,126562.5 -834,123342.26190476184 +834,123342.26190476185 835,126562.5 836,126562.5 837,126562.5 838,126562.5 -839,126562.5 +839,126562.50000000001 840,126562.5 841,126562.5 842,126562.5 @@ -851,14 +851,14 @@ iteration,delivered 849,126562.5 850,126562.5 851,126562.5 -852,126562.5 +852,126562.50000000001 853,126562.5 854,125780.3571428571 855,125780.3571428571 856,126562.5 857,126562.5 -858,123342.26190476184 -859,123342.26190476184 +858,123342.26190476185 +859,123342.26190476185 860,126562.5 861,126562.5 862,126562.5 @@ -867,20 +867,20 @@ iteration,delivered 865,126562.5 866,126562.5 867,126562.5 -868,124561.30952380947 -869,124561.30952380947 -870,124561.30952380947 -871,124561.30952380947 +868,124561.30952380948 +869,124561.30952380948 +870,124561.30952380948 +871,124561.30952380948 872,126562.5 873,126562.5 874,126562.5 875,125780.3571428571 876,125780.3571428571 -877,126562.5 +877,126562.50000000001 878,126562.5 879,126562.5 880,126562.5 -881,126562.5 +881,126562.50000000001 882,126562.5 883,126562.5 884,126562.5 @@ -900,7 +900,7 @@ iteration,delivered 898,126562.5 899,126562.5 900,126562.5 -901,123342.26190476184 +901,123342.26190476185 902,126562.5 903,126562.5 904,126562.5 @@ -910,8 +910,8 @@ iteration,delivered 908,126562.5 909,126562.5 910,126562.5 -911,123342.26190476184 -912,123342.26190476184 +911,123342.26190476185 +912,123342.26190476185 913,126562.5 914,126562.5 915,126562.5 @@ -924,26 +924,26 @@ iteration,delivered 922,126562.5 923,126562.5 924,126562.5 -925,126562.5 +925,126562.50000000001 926,126562.5 927,126562.5 928,126562.5 929,126562.5 930,126562.5 931,126562.5 -932,126562.5 -933,126562.5 +932,126562.50000000001 +933,126562.50000000001 934,126562.5 -935,126562.5 -936,126562.5 +935,126562.50000000001 +936,126562.50000000001 937,126562.5 -938,126562.5 +938,126562.50000000001 939,125780.3571428571 940,126562.5 941,126562.5 942,126562.5 943,126562.5 -944,126562.5 +944,126562.50000000001 945,126562.5 946,126562.5 947,125780.3571428571 @@ -951,7 +951,7 @@ iteration,delivered 949,125780.3571428571 950,126562.5 951,126562.5 -952,123342.26190476184 +952,123342.26190476185 953,126562.5 954,126562.5 955,126562.5 @@ -962,10 +962,10 @@ iteration,delivered 960,126562.5 961,126562.5 962,126562.5 -963,126562.5 +963,126562.50000000001 964,126562.5 965,126562.5 -966,126562.5 +966,126562.50000000001 967,126562.5 968,126562.5 969,126562.5 @@ -988,7 +988,7 @@ iteration,delivered 986,125780.3571428571 987,126562.5 988,126562.5 -989,126562.5 +989,126562.50000000001 990,126562.5 991,126562.5 992,126562.5 diff --git a/tests/data/scenarios_metrics/small_dragonfly/seed11/costpower.json b/tests/data/scenarios_metrics/small_dragonfly/seed11/costpower.json index 1ce6795..9759e89 100644 --- a/tests/data/scenarios_metrics/small_dragonfly/seed11/costpower.json +++ b/tests/data/scenarios_metrics/small_dragonfly/seed11/costpower.json @@ -5,4 +5,4 @@ "Watt_per_Gbit_offered": 3.0379298765432097, "USD_per_Gbit_p999": 2629.843750000001, "Watt_per_Gbit_p999": 30.038125000000008 -} \ No newline at end of file +} diff --git a/tests/data/scenarios_metrics/small_dragonfly/seed11/iterops.json b/tests/data/scenarios_metrics/small_dragonfly/seed11/iterops.json index bf62377..81eccb7 100644 --- a/tests/data/scenarios_metrics/small_dragonfly/seed11/iterops.json +++ b/tests/data/scenarios_metrics/small_dragonfly/seed11/iterops.json @@ -2,6 +2,6 @@ "iters_fail": 1000, "iters_total": 1001, "unique_patterns": 583, - "tm_duration_total_sec": 0.4521291255950928, - "tm_duration_per_iter_sec": 0.0004516774481469458 -} \ No newline at end of file + "tm_duration_total_sec": 0.6614811420440674, + "tm_duration_per_iter_sec": 0.0006608203217223451 +} diff --git a/tests/data/scenarios_metrics/small_dragonfly/seed11/latency.json b/tests/data/scenarios_metrics/small_dragonfly/seed11/latency.json index 71e8cbd..d6c5104 100644 --- a/tests/data/scenarios_metrics/small_dragonfly/seed11/latency.json +++ b/tests/data/scenarios_metrics/small_dragonfly/seed11/latency.json @@ -1,5 +1,6 @@ { "baseline": { + "reference_coverage": 1.0, "p50": 1.2258503401360543, "p95": 7.63768115942029, "p99": 8.333333333333334, @@ -15,7 +16,8 @@ "SLO_1_2": 0.47575308641975295, "SLO_1_5": 0.6780246913580245, "best_path_share": 0.32745100822957623, - "WES": 1.0290402458371917 + "WES": 1.0290402458371917, + "reference_coverage": 1.0 }, "derived": { "TD95": 1.0, @@ -7039,6 +7041,1008 @@ 1.0289566148808635, 1.0290296913699446, 1.0289566148808635 + ], + "reference_coverage": [ + 1.0, + 1.0, + 1.0, + 1.0, + 1.0, + 1.0, + 1.0, + 1.0, + 1.0, + 1.0, + 1.0, + 1.0, + 1.0, + 1.0, + 1.0, + 1.0, + 1.0, + 1.0, + 1.0, + 1.0, + 1.0, + 1.0, + 1.0, + 1.0, + 1.0, + 1.0, + 1.0, + 1.0, + 1.0, + 1.0, + 1.0, + 1.0, + 1.0, + 1.0, + 1.0, + 1.0, + 1.0, + 1.0, + 1.0, + 1.0, + 1.0, + 1.0, + 1.0, + 1.0, + 1.0, + 1.0, + 1.0, + 1.0, + 1.0, + 1.0, + 1.0, + 1.0, + 1.0, + 1.0, + 1.0, + 1.0, + 1.0, + 1.0, + 1.0, + 1.0, + 1.0, + 1.0, + 1.0, + 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-metro5/dc1→metro2/dc1,21093.75,21093.750000000004,21093.750000000004,21093.750000000004,21093.750000000004 -metro1/dc1→metro2/dc1,21093.749999999996,21093.750000000004,21093.750000000007,21093.75000000001,21093.75000000001 -metro2/dc1→metro1/dc1,21093.749999999996,21093.750000000004,21093.750000000004,21093.750000000007,21093.750000000007 +metro1/dc1/dc/dc→metro2/dc1/dc/dc,21093.749999999996,21093.750000000004,21093.750000000007,21093.75000000001,21093.75000000001 +metro1/dc1/dc/dc→metro5/dc1/dc/dc,21093.75,21093.75,21093.75,21093.75,21093.75 +metro2/dc1/dc/dc→metro1/dc1/dc/dc,21093.749999999996,21093.750000000004,21093.750000000004,21093.750000000007,21093.750000000007 +metro2/dc1/dc/dc→metro5/dc1/dc/dc,21093.75,21093.75,21093.750000000004,21093.750000000004,21093.750000000004 +metro5/dc1/dc/dc→metro1/dc1/dc/dc,21093.75,21093.75,21093.75,21093.75,21093.75 +metro5/dc1/dc/dc→metro2/dc1/dc/dc,21093.75,21093.750000000004,21093.750000000004,21093.750000000004,21093.750000000004 diff --git a/tests/data/scenarios_metrics/small_dragonfly/seed11/pairs_tm_norm.csv b/tests/data/scenarios_metrics/small_dragonfly/seed11/pairs_tm_norm.csv index 3a50740..0137f96 100644 --- a/tests/data/scenarios_metrics/small_dragonfly/seed11/pairs_tm_norm.csv +++ b/tests/data/scenarios_metrics/small_dragonfly/seed11/pairs_tm_norm.csv @@ -1,7 +1,7 @@ ,p50.0,p90.0,p99.0,p99.9,p99.99 -metro1/dc1→metro5/dc1,1.0,1.0,1.0,1.0,1.0 -metro5/dc1→metro1/dc1,1.0,1.0,1.0,1.0,1.0 -metro2/dc1→metro5/dc1,1.0,1.0,1.0,1.0,1.0 -metro5/dc1→metro2/dc1,1.0,1.0,1.0,1.0,1.0 -metro1/dc1→metro2/dc1,0.9999999999999998,1.0,1.0,1.0,1.0 -metro2/dc1→metro1/dc1,0.9999999999999998,1.0,1.0,1.0,1.0 +metro1/dc1/dc/dc→metro2/dc1/dc/dc,0.9999999999999998,1.0,1.0,1.0,1.0 +metro1/dc1/dc/dc→metro5/dc1/dc/dc,1.0,1.0,1.0,1.0,1.0 +metro2/dc1/dc/dc→metro1/dc1/dc/dc,0.9999999999999998,1.0,1.0,1.0,1.0 +metro2/dc1/dc/dc→metro5/dc1/dc/dc,1.0,1.0,1.0,1.0,1.0 +metro5/dc1/dc/dc→metro1/dc1/dc/dc,1.0,1.0,1.0,1.0,1.0 +metro5/dc1/dc/dc→metro2/dc1/dc/dc,1.0,1.0,1.0,1.0,1.0 diff --git a/tests/data/scenarios_metrics/small_dragonfly/seed12/alpha.json b/tests/data/scenarios_metrics/small_dragonfly/seed12/alpha.json index 118d1e1..0be2abf 100644 --- a/tests/data/scenarios_metrics/small_dragonfly/seed12/alpha.json +++ b/tests/data/scenarios_metrics/small_dragonfly/seed12/alpha.json @@ -2,4 +2,4 @@ "alpha_star": 1.6875, "source": "msd_baseline", "base_total_demand": 90000.0 -} \ No newline at end of file +} diff --git a/tests/data/scenarios_metrics/small_dragonfly/seed12/bac.json b/tests/data/scenarios_metrics/small_dragonfly/seed12/bac.json index 03d1313..f62fd18 100644 --- a/tests/data/scenarios_metrics/small_dragonfly/seed12/bac.json +++ b/tests/data/scenarios_metrics/small_dragonfly/seed12/bac.json @@ -14342,4 +14342,4 @@ } } } -} \ No newline at end of file +} diff --git a/tests/data/scenarios_metrics/small_dragonfly/seed12/costpower.json b/tests/data/scenarios_metrics/small_dragonfly/seed12/costpower.json index 28df8b1..65e7dbf 100644 --- a/tests/data/scenarios_metrics/small_dragonfly/seed12/costpower.json +++ b/tests/data/scenarios_metrics/small_dragonfly/seed12/costpower.json @@ -5,4 +5,4 @@ "Watt_per_Gbit_offered": 2.531608230452675, "USD_per_Gbit_p999": 2629.843750000001, "Watt_per_Gbit_p999": 30.038125000000008 -} \ No newline at end of file +} diff --git a/tests/data/scenarios_metrics/small_dragonfly/seed12/iterops.json b/tests/data/scenarios_metrics/small_dragonfly/seed12/iterops.json index 47aac69..7195df8 100644 --- a/tests/data/scenarios_metrics/small_dragonfly/seed12/iterops.json +++ b/tests/data/scenarios_metrics/small_dragonfly/seed12/iterops.json @@ -2,6 +2,6 @@ "iters_fail": 1000, "iters_total": 1001, "unique_patterns": 580, - "tm_duration_total_sec": 0.29657506942749023, - "tm_duration_per_iter_sec": 0.0002962787906368534 -} \ No newline at end of file + "tm_duration_total_sec": 0.46278810501098633, + "tm_duration_per_iter_sec": 0.00046232577923175456 +} diff --git a/tests/data/scenarios_metrics/small_dragonfly/seed12/latency.json b/tests/data/scenarios_metrics/small_dragonfly/seed12/latency.json index a161a4e..2611c2a 100644 --- a/tests/data/scenarios_metrics/small_dragonfly/seed12/latency.json +++ b/tests/data/scenarios_metrics/small_dragonfly/seed12/latency.json @@ -1,5 +1,6 @@ { "baseline": { + "reference_coverage": 1.0, "p50": 1.0, "p95": 1.6376811594202898, "p99": 1.6376811594202898, @@ -15,7 +16,8 @@ "SLO_1_2": 0.5056790123456789, "SLO_1_5": 0.8352263374485596, "best_path_share": 0.4896257103664509, - "WES": 0.18039835980719618 + "WES": 0.18039835980719618, + "reference_coverage": 1.0 }, "derived": { "TD95": 1.0, @@ -7039,6 +7041,1008 @@ 0.21154538119250335, 0.18040151604730686, 0.18039044319409483 + ], + "reference_coverage": [ + 1.0, + 1.0, + 1.0, + 1.0, + 1.0, + 1.0, + 1.0, + 1.0, + 1.0, + 1.0, + 1.0, + 1.0, + 1.0, + 1.0, + 1.0, + 1.0, + 1.0, + 1.0, + 1.0, + 1.0, + 1.0, + 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,p50.0,p90.0,p99.0,p99.9,p99.99 -metro1/dc1→metro2/dc1,25312.5,25312.5,25312.5,25312.5,25312.5 -metro2/dc1→metro1/dc1,25312.5,25312.5,25312.5,25312.5,25312.5 -metro2/dc1→metro5/dc1,25312.5,25312.5,25312.5,25312.5,25312.5 -metro5/dc1→metro2/dc1,25312.5,25312.5,25312.5,25312.5,25312.5 -metro1/dc1→metro5/dc1,25312.5,25312.5,25312.5,25312.5,25312.5 -metro5/dc1→metro1/dc1,25312.5,25312.5,25312.5,25312.5,25312.5 +metro1/dc1/dc/dc→metro2/dc1/dc/dc,25312.5,25312.5,25312.5,25312.5,25312.5 +metro1/dc1/dc/dc→metro5/dc1/dc/dc,25312.5,25312.5,25312.5,25312.5,25312.5 +metro2/dc1/dc/dc→metro1/dc1/dc/dc,25312.5,25312.5,25312.5,25312.5,25312.5 +metro2/dc1/dc/dc→metro5/dc1/dc/dc,25312.5,25312.5,25312.5,25312.5,25312.5 +metro5/dc1/dc/dc→metro1/dc1/dc/dc,25312.5,25312.5,25312.5,25312.5,25312.5 +metro5/dc1/dc/dc→metro2/dc1/dc/dc,25312.5,25312.5,25312.5,25312.5,25312.5 diff --git a/tests/data/scenarios_metrics/small_dragonfly/seed12/pairs_tm_norm.csv b/tests/data/scenarios_metrics/small_dragonfly/seed12/pairs_tm_norm.csv index 7a72021..34f5db9 100644 --- a/tests/data/scenarios_metrics/small_dragonfly/seed12/pairs_tm_norm.csv +++ b/tests/data/scenarios_metrics/small_dragonfly/seed12/pairs_tm_norm.csv @@ -1,7 +1,7 @@ ,p50.0,p90.0,p99.0,p99.9,p99.99 -metro1/dc1→metro2/dc1,1.0,1.0,1.0,1.0,1.0 -metro2/dc1→metro1/dc1,1.0,1.0,1.0,1.0,1.0 -metro2/dc1→metro5/dc1,1.0,1.0,1.0,1.0,1.0 -metro5/dc1→metro2/dc1,1.0,1.0,1.0,1.0,1.0 -metro1/dc1→metro5/dc1,1.0,1.0,1.0,1.0,1.0 -metro5/dc1→metro1/dc1,1.0,1.0,1.0,1.0,1.0 +metro1/dc1/dc/dc→metro2/dc1/dc/dc,1.0,1.0,1.0,1.0,1.0 +metro1/dc1/dc/dc→metro5/dc1/dc/dc,1.0,1.0,1.0,1.0,1.0 +metro2/dc1/dc/dc→metro1/dc1/dc/dc,1.0,1.0,1.0,1.0,1.0 +metro2/dc1/dc/dc→metro5/dc1/dc/dc,1.0,1.0,1.0,1.0,1.0 +metro5/dc1/dc/dc→metro1/dc1/dc/dc,1.0,1.0,1.0,1.0,1.0 +metro5/dc1/dc/dc→metro2/dc1/dc/dc,1.0,1.0,1.0,1.0,1.0 diff --git a/tests/data/scenarios_metrics/small_dragonfly_custom/alpha_summary.json b/tests/data/scenarios_metrics/small_dragonfly_custom/alpha_summary.json index f51da0c..d00fbb1 100644 --- a/tests/data/scenarios_metrics/small_dragonfly_custom/alpha_summary.json +++ b/tests/data/scenarios_metrics/small_dragonfly_custom/alpha_summary.json @@ -3,4 +3,4 @@ "median": 1.546875, "q25": 1.4765625, "q75": 1.6171875 -} \ No newline at end of file +} diff --git a/tests/data/scenarios_metrics/small_dragonfly_custom/bac_summary.json b/tests/data/scenarios_metrics/small_dragonfly_custom/bac_summary.json index dda2f75..a812b32 100644 --- a/tests/data/scenarios_metrics/small_dragonfly_custom/bac_summary.json +++ b/tests/data/scenarios_metrics/small_dragonfly_custom/bac_summary.json @@ -1,3016 +1,5 @@ { - "per_seed": { - "type": "series", - "median": { - "0": 139218.75, - "1": 138043.75, - "2": 138043.75, - "3": 137018.75, - "4": 137018.75, - "5": 138043.75, - "6": 137818.75, - "7": 137818.75, - "8": 137818.75, - "9": 137818.75, - "10": 137818.75, - "11": 138043.75, - "12": 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b/tests/data/scenarios_metrics/small_dragonfly_custom/provenance.json @@ -1,8 +1,44 @@ { - "generated_at": "2026-10-02T02:50:26.721116+00:00", + "generated_at": "2026-10-04T21:29:27.214583+00:00", "python": "3.13.13 (main, May 10 2026, 19:20:37) [Clang 22.1.3 ]", - "platform": "macOS-26.6.1-arm64-arm-64bit-Mach-O", - "scenarios_root": "build/fixture-regeneration/run-3vevzd_6/scenarios", - "output_root": "build/fixture-regeneration/run-3vevzd_6/scenarios_metrics", - "git_commit": "2e0d966f1ed5cd30862877afd812d7ad2b124730" -} \ No newline at end of file + "platform": "macOS-27.0.1-arm64-arm-64bit-Mach-O", + "scenarios_root": "tests/data/scenarios", + "output_root": "tests/data/scenarios_metrics", + "packages": { + "netlab": { + "version": "0.3.0" + }, + "topogen": { + "version": "0.4.0", + "source": { + "url": "https://github.com/networmix/TopoGen", + "vcs_info": { + "commit_id": "3bf0fa4aa08604a886421461f7ce36dbd7275121", + "requested_revision": "main", + "vcs": "git" + } + } + }, + "ngraph": { + "version": "0.24.0" + }, + "netgraph-core": { + "version": "0.11.0" + }, + "numpy": { + "version": "2.5.3" + }, + "pandas": { + "version": "3.0.6" + }, + "scipy": { + "version": "1.18.1" + }, + "matplotlib": { + "version": "3.11.2" + }, + "seaborn": { + "version": "0.13.2" + } + } +} diff --git a/tests/data/scenarios_metrics/small_dragonfly_custom/seed11/alpha.json b/tests/data/scenarios_metrics/small_dragonfly_custom/seed11/alpha.json index 6e1ff5b..caf92a6 100644 --- a/tests/data/scenarios_metrics/small_dragonfly_custom/seed11/alpha.json +++ b/tests/data/scenarios_metrics/small_dragonfly_custom/seed11/alpha.json @@ -2,4 +2,4 @@ "alpha_star": 1.40625, "source": "msd_baseline", "base_total_demand": 90000.0 -} \ No newline at end of file +} diff --git a/tests/data/scenarios_metrics/small_dragonfly_custom/seed11/bac.json b/tests/data/scenarios_metrics/small_dragonfly_custom/seed11/bac.json index 3d543bc..d31fa57 100644 --- a/tests/data/scenarios_metrics/small_dragonfly_custom/seed11/bac.json +++ b/tests/data/scenarios_metrics/small_dragonfly_custom/seed11/bac.json @@ -14342,4 +14342,4 @@ } } } -} \ No newline at end of file +} diff --git a/tests/data/scenarios_metrics/small_dragonfly_custom/seed11/costpower.json b/tests/data/scenarios_metrics/small_dragonfly_custom/seed11/costpower.json index ed24c25..1946f22 100644 --- a/tests/data/scenarios_metrics/small_dragonfly_custom/seed11/costpower.json +++ b/tests/data/scenarios_metrics/small_dragonfly_custom/seed11/costpower.json @@ -5,4 +5,4 @@ "Watt_per_Gbit_offered": 2.613222716049383, "USD_per_Gbit_p999": 2336.875, "Watt_per_Gbit_p999": 25.83875 -} \ No newline at end of file +} diff --git a/tests/data/scenarios_metrics/small_dragonfly_custom/seed11/iterops.json b/tests/data/scenarios_metrics/small_dragonfly_custom/seed11/iterops.json index 4dfc230..6d3b458 100644 --- a/tests/data/scenarios_metrics/small_dragonfly_custom/seed11/iterops.json +++ b/tests/data/scenarios_metrics/small_dragonfly_custom/seed11/iterops.json @@ -2,6 +2,6 @@ "iters_fail": 1000, "iters_total": 1001, "unique_patterns": 558, - "tm_duration_total_sec": 0.4361708164215088, - "tm_duration_per_iter_sec": 0.0004357350813401686 -} \ No newline at end of file + "tm_duration_total_sec": 0.536585807800293, + "tm_duration_per_iter_sec": 0.0005360497580422507 +} diff --git a/tests/data/scenarios_metrics/small_dragonfly_custom/seed11/latency.json b/tests/data/scenarios_metrics/small_dragonfly_custom/seed11/latency.json index 624b2f2..36db67e 100644 --- a/tests/data/scenarios_metrics/small_dragonfly_custom/seed11/latency.json +++ b/tests/data/scenarios_metrics/small_dragonfly_custom/seed11/latency.json @@ -1,5 +1,6 @@ { "baseline": { + "reference_coverage": 1.0, "p50": 1.2258503401360543, "p95": 7.63768115942029, "p99": 8.333333333333334, @@ -15,7 +16,8 @@ "SLO_1_2": 0.4757530864197531, "SLO_1_5": 0.6780246913580247, "best_path_share": 0.3243405877043426, - "WES": 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b/tests/data/scenarios_metrics/small_dragonfly_custom/seed11/pairs_tm_abs.csv index 665640a..eab2730 100644 --- a/tests/data/scenarios_metrics/small_dragonfly_custom/seed11/pairs_tm_abs.csv +++ b/tests/data/scenarios_metrics/small_dragonfly_custom/seed11/pairs_tm_abs.csv @@ -1,7 +1,7 @@ ,p50.0,p90.0,p99.0,p99.9,p99.99 -metro1/dc1→metro5/dc1,21093.75,21093.75,21093.75,21093.75,21093.75 -metro5/dc1→metro1/dc1,21093.75,21093.75,21093.75,21093.75,21093.75 -metro2/dc1→metro5/dc1,21093.75,21093.75,21093.75,21093.75,21093.75 -metro5/dc1→metro2/dc1,21093.75,21093.75,21093.75,21093.75,21093.75 -metro1/dc1→metro2/dc1,20931.25,21093.75,21093.75,21093.75,21093.75 -metro2/dc1→metro1/dc1,20931.25,21093.75,21093.75,21093.75,21093.75 +metro1/dc1/dc/dc→metro2/dc1/dc/dc,20931.25,21093.75,21093.75,21093.75,21093.75 +metro1/dc1/dc/dc→metro5/dc1/dc/dc,21093.75,21093.75,21093.75,21093.75,21093.75 +metro2/dc1/dc/dc→metro1/dc1/dc/dc,20931.25,21093.75,21093.75,21093.75,21093.75 +metro2/dc1/dc/dc→metro5/dc1/dc/dc,21093.75,21093.75,21093.75,21093.75,21093.75 +metro5/dc1/dc/dc→metro1/dc1/dc/dc,21093.75,21093.75,21093.75,21093.75,21093.75 +metro5/dc1/dc/dc→metro2/dc1/dc/dc,21093.75,21093.75,21093.75,21093.75,21093.75 diff --git a/tests/data/scenarios_metrics/small_dragonfly_custom/seed11/pairs_tm_norm.csv b/tests/data/scenarios_metrics/small_dragonfly_custom/seed11/pairs_tm_norm.csv index 8ced3da..9488d42 100644 --- a/tests/data/scenarios_metrics/small_dragonfly_custom/seed11/pairs_tm_norm.csv +++ b/tests/data/scenarios_metrics/small_dragonfly_custom/seed11/pairs_tm_norm.csv @@ -1,7 +1,7 @@ ,p50.0,p90.0,p99.0,p99.9,p99.99 -metro1/dc1→metro5/dc1,1.0,1.0,1.0,1.0,1.0 -metro5/dc1→metro1/dc1,1.0,1.0,1.0,1.0,1.0 -metro2/dc1→metro5/dc1,1.0,1.0,1.0,1.0,1.0 -metro5/dc1→metro2/dc1,1.0,1.0,1.0,1.0,1.0 -metro1/dc1→metro2/dc1,0.9922962962962963,1.0,1.0,1.0,1.0 -metro2/dc1→metro1/dc1,0.9922962962962963,1.0,1.0,1.0,1.0 +metro1/dc1/dc/dc→metro2/dc1/dc/dc,0.9922962962962963,1.0,1.0,1.0,1.0 +metro1/dc1/dc/dc→metro5/dc1/dc/dc,1.0,1.0,1.0,1.0,1.0 +metro2/dc1/dc/dc→metro1/dc1/dc/dc,0.9922962962962963,1.0,1.0,1.0,1.0 +metro2/dc1/dc/dc→metro5/dc1/dc/dc,1.0,1.0,1.0,1.0,1.0 +metro5/dc1/dc/dc→metro1/dc1/dc/dc,1.0,1.0,1.0,1.0,1.0 +metro5/dc1/dc/dc→metro2/dc1/dc/dc,1.0,1.0,1.0,1.0,1.0 diff --git a/tests/data/scenarios_metrics/small_dragonfly_custom/seed12/alpha.json b/tests/data/scenarios_metrics/small_dragonfly_custom/seed12/alpha.json index 118d1e1..0be2abf 100644 --- a/tests/data/scenarios_metrics/small_dragonfly_custom/seed12/alpha.json +++ b/tests/data/scenarios_metrics/small_dragonfly_custom/seed12/alpha.json @@ -2,4 +2,4 @@ "alpha_star": 1.6875, "source": "msd_baseline", "base_total_demand": 90000.0 -} \ No newline at end of file +} diff --git a/tests/data/scenarios_metrics/small_dragonfly_custom/seed12/bac.json b/tests/data/scenarios_metrics/small_dragonfly_custom/seed12/bac.json index 867d260..486f24b 100644 --- a/tests/data/scenarios_metrics/small_dragonfly_custom/seed12/bac.json +++ b/tests/data/scenarios_metrics/small_dragonfly_custom/seed12/bac.json @@ -14342,4 +14342,4 @@ } } } -} \ No newline at end of file +} diff --git a/tests/data/scenarios_metrics/small_dragonfly_custom/seed12/costpower.json b/tests/data/scenarios_metrics/small_dragonfly_custom/seed12/costpower.json index d8618a1..61551e6 100644 --- a/tests/data/scenarios_metrics/small_dragonfly_custom/seed12/costpower.json +++ b/tests/data/scenarios_metrics/small_dragonfly_custom/seed12/costpower.json @@ -5,4 +5,4 @@ "Watt_per_Gbit_offered": 2.177685596707819, "USD_per_Gbit_p999": 2336.875, "Watt_per_Gbit_p999": 25.83875 -} \ No newline at end of file +} diff --git a/tests/data/scenarios_metrics/small_dragonfly_custom/seed12/iterops.json b/tests/data/scenarios_metrics/small_dragonfly_custom/seed12/iterops.json index 0576d94..72b0b1c 100644 --- a/tests/data/scenarios_metrics/small_dragonfly_custom/seed12/iterops.json +++ b/tests/data/scenarios_metrics/small_dragonfly_custom/seed12/iterops.json @@ -2,6 +2,6 @@ "iters_fail": 1000, "iters_total": 1001, "unique_patterns": 553, - "tm_duration_total_sec": 0.27664899826049805, - "tm_duration_per_iter_sec": 0.0002763726256348632 -} \ No newline at end of file + "tm_duration_total_sec": 0.3760566711425781, + "tm_duration_per_iter_sec": 0.0003756809901524257 +} diff --git a/tests/data/scenarios_metrics/small_dragonfly_custom/seed12/latency.json b/tests/data/scenarios_metrics/small_dragonfly_custom/seed12/latency.json index 6393123..507a4e8 100644 --- a/tests/data/scenarios_metrics/small_dragonfly_custom/seed12/latency.json +++ b/tests/data/scenarios_metrics/small_dragonfly_custom/seed12/latency.json @@ -1,5 +1,6 @@ { "baseline": { + "reference_coverage": 1.0, "p50": 1.0, "p95": 1.6376811594202898, "p99": 1.6376811594202898, @@ -15,7 +16,8 @@ "SLO_1_2": 0.505679012345679, "SLO_1_5": 0.8352263374485597, "best_path_share": 0.48386831275720166, - "WES": 0.18042774585382731 + "WES": 0.18042774585382731, + "reference_coverage": 1.0 }, "derived": { "TD95": 1.0, @@ -7039,6 +7041,1008 @@ 0.20401290584816276, 0.1804152445649229, 0.1803911505912369 + ], + "reference_coverage": [ + 1.0, + 1.0, + 1.0, + 1.0, + 1.0, + 1.0, + 1.0, + 1.0, + 1.0, + 1.0, + 1.0, + 1.0, + 1.0, + 1.0, + 1.0, + 1.0, + 1.0, + 1.0, + 1.0, + 1.0, + 1.0, + 1.0, + 1.0, + 1.0, + 1.0, + 1.0, + 1.0, + 1.0, + 1.0, + 1.0, + 1.0, + 1.0, + 1.0, + 1.0, + 1.0, + 1.0, + 1.0, + 1.0, + 1.0, + 1.0, + 1.0, + 1.0, + 1.0, + 1.0, + 1.0, + 1.0, + 1.0, + 1.0, + 1.0, + 1.0, + 1.0, + 1.0, + 1.0, + 1.0, + 1.0, + 1.0, + 1.0, + 1.0, + 1.0, + 1.0, + 1.0, + 1.0, + 1.0, + 1.0, + 1.0, + 1.0, + 1.0, + 1.0, + 1.0, + 1.0, + 1.0, + 1.0, + 1.0, + 1.0, + 1.0, + 1.0, + 1.0, + 1.0, + 1.0, + 1.0, + 1.0, + 1.0, + 1.0, + 1.0, + 1.0, + 1.0, + 1.0, + 1.0, + 1.0, + 1.0, + 1.0, + 1.0, + 1.0, + 1.0, + 1.0, + 1.0, + 1.0, + 1.0, + 1.0, + 1.0, + 1.0, + 1.0, + 1.0, + 1.0, + 1.0, + 1.0, + 1.0, + 1.0, + 1.0, + 1.0, + 1.0, 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+7998,reference_coverage,998,1.0,1.0,0.0,0.0,1.0 +7999,reference_coverage,999,1.0,1.0,0.0,0.0,1.0 diff --git a/tests/data/scenarios_metrics/small_dragonfly_custom/seed12/pairs_tm_abs.csv b/tests/data/scenarios_metrics/small_dragonfly_custom/seed12/pairs_tm_abs.csv index 557db24..84504e6 100644 --- a/tests/data/scenarios_metrics/small_dragonfly_custom/seed12/pairs_tm_abs.csv +++ b/tests/data/scenarios_metrics/small_dragonfly_custom/seed12/pairs_tm_abs.csv @@ -1,7 +1,7 @@ ,p50.0,p90.0,p99.0,p99.9,p99.99 -metro1/dc1→metro2/dc1,25312.5,25312.5,25312.5,25312.5,25312.5 -metro2/dc1→metro1/dc1,25312.5,25312.5,25312.5,25312.5,25312.5 -metro2/dc1→metro5/dc1,25312.5,25312.5,25312.5,25312.5,25312.5 -metro5/dc1→metro2/dc1,25312.5,25312.5,25312.5,25312.5,25312.5 -metro1/dc1→metro5/dc1,25312.5,25312.5,25312.5,25312.5,25312.5 -metro5/dc1→metro1/dc1,25312.5,25312.5,25312.5,25312.5,25312.5 +metro1/dc1/dc/dc→metro2/dc1/dc/dc,25312.5,25312.5,25312.5,25312.5,25312.5 +metro1/dc1/dc/dc→metro5/dc1/dc/dc,25312.5,25312.5,25312.5,25312.5,25312.5 +metro2/dc1/dc/dc→metro1/dc1/dc/dc,25312.5,25312.5,25312.5,25312.5,25312.5 +metro2/dc1/dc/dc→metro5/dc1/dc/dc,25312.5,25312.5,25312.5,25312.5,25312.5 +metro5/dc1/dc/dc→metro1/dc1/dc/dc,25312.5,25312.5,25312.5,25312.5,25312.5 +metro5/dc1/dc/dc→metro2/dc1/dc/dc,25312.5,25312.5,25312.5,25312.5,25312.5 diff --git a/tests/data/scenarios_metrics/small_dragonfly_custom/seed12/pairs_tm_norm.csv b/tests/data/scenarios_metrics/small_dragonfly_custom/seed12/pairs_tm_norm.csv index 7a72021..34f5db9 100644 --- a/tests/data/scenarios_metrics/small_dragonfly_custom/seed12/pairs_tm_norm.csv +++ b/tests/data/scenarios_metrics/small_dragonfly_custom/seed12/pairs_tm_norm.csv @@ -1,7 +1,7 @@ ,p50.0,p90.0,p99.0,p99.9,p99.99 -metro1/dc1→metro2/dc1,1.0,1.0,1.0,1.0,1.0 -metro2/dc1→metro1/dc1,1.0,1.0,1.0,1.0,1.0 -metro2/dc1→metro5/dc1,1.0,1.0,1.0,1.0,1.0 -metro5/dc1→metro2/dc1,1.0,1.0,1.0,1.0,1.0 -metro1/dc1→metro5/dc1,1.0,1.0,1.0,1.0,1.0 -metro5/dc1→metro1/dc1,1.0,1.0,1.0,1.0,1.0 +metro1/dc1/dc/dc→metro2/dc1/dc/dc,1.0,1.0,1.0,1.0,1.0 +metro1/dc1/dc/dc→metro5/dc1/dc/dc,1.0,1.0,1.0,1.0,1.0 +metro2/dc1/dc/dc→metro1/dc1/dc/dc,1.0,1.0,1.0,1.0,1.0 +metro2/dc1/dc/dc→metro5/dc1/dc/dc,1.0,1.0,1.0,1.0,1.0 +metro5/dc1/dc/dc→metro1/dc1/dc/dc,1.0,1.0,1.0,1.0,1.0 +metro5/dc1/dc/dc→metro2/dc1/dc/dc,1.0,1.0,1.0,1.0,1.0 diff --git a/tests/data/scenarios_metrics/summary.txt b/tests/data/scenarios_metrics/summary.txt new file mode 100644 index 0000000..747f385 --- /dev/null +++ b/tests/data/scenarios_metrics/summary.txt @@ -0,0 +1,31 @@ + Consolidated project metrics +┏━━┳━━┳━━┳━━┳━━┳━━┳━━┳━━┳━━┳━━┳━━┳━━┳━━┳━━┳━━┳━━┳━━┳━━┳━━┳━━┳━━┳━━┳━━┳━┳━━┳━┳━━┓ +┃ ┃ ┃ ┃ ┃ ┃ ┃ ┃ ┃ ┃ ┃ ┃ ┃ ┃ ┃ ┃ ┃ ┃ ┃ ┃ ┃ ┃ ┃ ┃ ┃ ┃ ┃ …┃ +┃… ┃ ┃ ┃ ┃ ┃ ┃ ┃ ┃ ┃ ┃ ┃ ┃ ┃ ┃ ┃ ┃ ┃ ┃ ┃ ┃ ┃ ┃ ┃ ┃ ┃ ┃ …┃ +┡━━╇━━╇━━╇━━╇━━╇━━╇━━╇━━╇━━╇━━╇━━╇━━╇━━╇━━╇━━╇━━╇━━╇━━╇━━╇━━╇━━╇━━╇━━╇━╇━━╇━╇━━┩ +│… │ │ │ │ │ │ │ │ │ │ │ │ │ │ │ │ │ │ │ │ │ │ │ │ │ │ …│ +│… │ │ │ │ │ │ │ │ │ │ │ │ │ │ │ │ │ │ │ │ │ │ │ │ │ │ …│ +│… │ │ │ │ │ │ │ │ │ │ │ │ │ │ │ │ │ │ │ │ │ │ │ │ │ │ …│ +│… │ │ │ │ │ │ │ │ │ │ │ │ │ │ │ │ │ │ │ │ │ │ │ │ │ │ …│ +└──┴──┴──┴──┴──┴──┴──┴──┴──┴──┴──┴──┴──┴──┴──┴──┴──┴──┴──┴──┴──┴──┴──┴─┴──┴─┴──┘ + +- Ratios: higher is better (BW@p, BAC AUC); lower is better (lat_fail_p99, +cost/power). +- Drops/deltas: closer to 0 is better (SLO drop, best-path drop, WES Δ). + + + + Baseline-normalized metrics (scenario / baseline) +┏━━━┳━━━┳━━━┳━━━┳━━━┳━━━┳━━━┳━━━┳━━━┳━━━┳━━━┳━━━┳━━━┳━━━━┳━━━┳━━━━┳━━━┳━━━━┳━━━┓ +┃ ┃ … ┃ ┃ … ┃ … ┃ ┃ ┃ ┃ ┃ ┃ ┃ ┃ ┃ ┃ ┃ ┃ ┃ ┃ ┃ +┃s… ┃ 0 ┃ … ┃ r ┃ r ┃ … ┃ … ┃ … ┃ … ┃ … ┃ … ┃ … ┃ … ┃ U… ┃ … ┃ l… ┃ … ┃ l… ┃ T…┃ +┡━━━╇━━━╇━━━╇━━━╇━━━╇━━━╇━━━╇━━━╇━━━╇━━━╇━━━╇━━━╇━━━╇━━━━╇━━━╇━━━━╇━━━╇━━━━╇━━━┩ +│s… │ 0 │ … │ 1 │ 1 │ 1 │ 1 │ 1 │ 1 │ 1 │ 1 │ 1 │ 1 │ 1 │ 1 │ 0 │ 0 │ 0 │ 0…│ +│s… │ 1 │ … │ … │ … │ … │ … │ 1 │ 1 │ … │ … │ … │ … │ 1… │ … │ 0 │ … │ 0… │ 1│ +│s… │ 2 │ … │ … │ … │ … │ … │ 1 │ 1 │ … │ … │ … │ … │ 1… │ … │ 0 │ … │ 0… │ 1│ +│s… │ 3 │ … │ … │ … │ … │ … │ 1 │ 1 │ … │ … │ … │ … │ 1… │ … │ 0 │ … │ 0… │ 1│ +└───┴───┴───┴───┴───┴───┴───┴───┴───┴───┴───┴───┴───┴────┴───┴────┴───┴────┴───┘ + +- Ratios: higher is better (BW@p, BAC AUC); lower is better (lat_fail_p99, +cost/power). +- Drops/deltas: closer to 0 is better (SLO drop, best-path drop, WES Δ). diff --git a/tests/metrics/conftest.py b/tests/metrics/conftest.py index ccf8ace..163de2e 100644 --- a/tests/metrics/conftest.py +++ b/tests/metrics/conftest.py @@ -3,7 +3,7 @@ import sys from pathlib import Path -# Ensure repository root is on sys.path so top-level 'metrics' package is importable +# Import netlab from the repository when running tests directly. ROOT = Path(__file__).resolve().parents[2] if str(ROOT) not in sys.path: sys.path.insert(0, str(ROOT)) diff --git a/tests/metrics/test_aggregate.py b/tests/metrics/test_aggregate.py index f6a6bc1..dde4397 100644 --- a/tests/metrics/test_aggregate.py +++ b/tests/metrics/test_aggregate.py @@ -6,43 +6,24 @@ import numpy as np import pandas as pd -from metrics.aggregate import ( +from netlab.artifacts import write_csv_atomic, write_json_atomic +from netlab.metrics.aggregate import ( summarize_across_seeds, - write_csv_atomic, - write_json_atomic, ) def test_summarize_across_seeds_scalars() -> None: series_by_seed = {1: 1.0, 2: 3.0, 3: 2.0} - out = summarize_across_seeds(series_by_seed, label="x") + out = summarize_across_seeds(series_by_seed) assert out["type"] == "scalar" assert out["median"] == 2.0 assert out["q25"] == 1.5 assert out["q75"] == 2.5 -def test_summarize_across_seeds_series_positional_alignment() -> None: - # Different lengths; later positions padded with NaN should be ignored in quantiles - series_by_seed = { - 0: pd.Series([1.0, 2.0, 3.0]), - 1: pd.Series([4.0, 6.0]), - 2: pd.Series([2.0, 4.0, 6.0]), - } - out = summarize_across_seeds(series_by_seed, label="x") - assert out["type"] == "series" - # Position 0: values [1,4,2] → median 2, q25 1.5, q75 3.0 - assert out["median"][0] == 2.0 - assert out["q25"][0] == 1.5 - assert out["q75"][0] == 3.0 - # Position 1: values [2,6,4] → median 4, q25 3.0, q75 5.0 - assert out["median"][1] == 4.0 - assert out["q25"][1] == 3.0 - assert out["q75"][1] == 5.0 - # Position 2: values [3,NaN,6] → median 4.5, q25 3.75, q75 5.25 (linear percentile) - assert out["median"][2] == 4.5 - assert np.isclose(out["q25"][2], 3.75) - assert np.isclose(out["q75"][2], 5.25) +def test_summarize_across_seeds_ignores_unavailable_scalars() -> None: + assert summarize_across_seeds({1: np.nan, 2: np.inf}) == {} + assert summarize_across_seeds({1: np.nan, 2: 2.0})["median"] == 2.0 def test_write_json_atomic(tmp_path: Path) -> None: diff --git a/tests/metrics/test_bac.py b/tests/metrics/test_bac.py index ea664ce..05807a2 100644 --- a/tests/metrics/test_bac.py +++ b/tests/metrics/test_bac.py @@ -3,7 +3,7 @@ import numpy as np import pytest -from metrics.bac import BacResult, compute_bac +from netlab.metrics.bac import BacResult, compute_bac def _build_bac_results() -> dict: @@ -82,10 +82,10 @@ def test_bac_requires_baseline() -> None: compute_bac(res, step_name="tm_placement", mode="auto") -def test_bac_requires_flow_results() -> None: +def test_bac_requires_flow_results_list() -> None: res = _build_bac_results() - res["steps"]["tm_placement"]["data"]["flow_results"] = [] - with pytest.raises(ValueError, match="No flow_results"): + res["steps"]["tm_placement"]["data"]["flow_results"] = {} + with pytest.raises(ValueError, match="flow_results must be a list"): compute_bac(res, step_name="tm_placement", mode="auto") @@ -123,7 +123,6 @@ def test_bac_per_flow() -> None: assert bac.offered == 150.0 assert np.isclose(bac.auc_normalized, (1.0 + 110.0 / 150.0) / 2.0) - # Two flows → per_flow populated assert len(bac.per_flow) == 2 # Flow A→B: offered=100, series=[100, 80], AUC=(1 + 0.8)/2 = 0.9 @@ -136,7 +135,6 @@ def test_bac_per_flow() -> None: assert pf_bc.offered == 50.0 assert np.isclose(pf_bc.auc_normalized, 0.8) - # B→C degrades more than A→B assert pf_bc.auc_normalized < pf_ab.auc_normalized @@ -278,15 +276,12 @@ def test_bac_occurrence_count_weighting() -> None: } bac = compute_bac(res, step_name="tm_placement") - # Series should have 11 entries (1 baseline + 7 f1 + 3 f2) assert len(bac.series) == 11 assert bac.offered == 200.0 - # AUC: weighted mean expected_auc = (1.0 + 7 * 0.75 + 3 * 0.9) / 11.0 assert np.isclose(bac.auc_normalized, expected_auc) - # Verify value counts in series vals = list(bac.series.values) assert vals.count(200.0) == 1 # baseline assert vals.count(150.0) == 7 # f1 expanded diff --git a/tests/metrics/test_common.py b/tests/metrics/test_common.py index 22b8602..788f78f 100644 --- a/tests/metrics/test_common.py +++ b/tests/metrics/test_common.py @@ -2,7 +2,7 @@ import pytest -from metrics.common import baseline_demand_map, canonical_dc, expand_flow_results +from netlab.metrics.common import baseline_demand_map, expand_flow_results @pytest.mark.parametrize("count", [None, 0, -1, True, "1", 1.5]) @@ -38,22 +38,6 @@ def test_expand_flow_results_empty() -> None: assert expand_flow_results([]) == [] -def test_canonical_dc_full_path() -> None: - assert canonical_dc("metro1/dc1/rack/node") == "metro1/dc1" - - -def test_canonical_dc_already_canonical() -> None: - assert canonical_dc("metro1/dc1") == "metro1/dc1" - - -def test_canonical_dc_single_component() -> None: - assert canonical_dc("metro1") == "metro1" - - -def test_canonical_dc_empty() -> None: - assert canonical_dc("") == "" - - def test_baseline_demand_map_basic() -> None: results = { "steps": { @@ -78,4 +62,4 @@ def test_baseline_demand_map_basic() -> None: } } dm = baseline_demand_map(results) - assert dm == {("m1/d1", "m2/d2"): 100.0} + assert dm == {("m1/d1/r1", "m2/d2/r2"): 100.0} diff --git a/tests/metrics/test_contract_regressions.py b/tests/metrics/test_contract_regressions.py new file mode 100644 index 0000000..8c0eed1 --- /dev/null +++ b/tests/metrics/test_contract_regressions.py @@ -0,0 +1,123 @@ +"""Regression tests for aggregation and empirical probabilities.""" + +import math + +import numpy as np +import pytest + +from netlab.metrics.bac import compute_bac +from netlab.metrics.common import baseline_demand_map +from netlab.metrics.distributions import availability_curve, curve_on_grid +from netlab.metrics.latency import compute_latency_stretch +from netlab.metrics.matrixdump import compute_pair_matrices +from netlab.metrics.sps import compute_sps +from netlab.metrics_failure import aggregate_failure_metrics, analyze_results + + +def flow(demand, placed, cost=1): + return { + "source": "A", + "destination": "B", + "demand": demand, + "placed": placed, + "cost_distribution": {str(cost): placed}, + } + + +def result_data(): + base = {"flows": [flow(40, 40), flow(60, 60, 2)]} + failures = [ + {"occurrence_count": 2, "flows": [], "summary": {"overall_ratio": 0}}, + { + "occurrence_count": 1, + "flows": [flow(40, 10, 2), flow(60, 30, 3)], + "summary": {"overall_ratio": 0.4}, + }, + ] + return { + "steps": { + name: {"data": {"baseline": base, "flow_results": failures}} + for name in ("tm_placement", "node_to_node_capacity_matrix") + } + } + + +def test_sum_classes_and_retain_total_outage_samples(): + data = result_data() + assert baseline_demand_map(data) == {("A", "B"): 100} + bac = compute_bac(data, step_name="tm_placement") + assert bac.series.tolist() == [100, 0, 0, 40] + assert bac.auc_normalized == pytest.approx(0.35) + assert compute_sps(data).series.tolist() == [0, 0, 0.4] + absolute, normalized, _, _ = compute_pair_matrices(data, include_maxflow=True) + assert absolute.loc["A→B", "p50.0"] == 0 + assert normalized.loc["A→B", "p50.0"] == 0 + + +def test_all_failures_disconnected_is_zero_not_missing(): + data = result_data() + for step in data["steps"].values(): + step["data"]["flow_results"] = [{"occurrence_count": 3, "flows": []}] + assert compute_sps(data).series.tolist() == [0, 0, 0] + absolute, normalized, _, _ = compute_pair_matrices(data, include_maxflow=True) + assert (absolute.loc["A→B"] == 0).all() + assert (normalized.loc["A→B"] == 0).all() + + +def test_latency_uses_minimum_across_classes_and_preserves_outage_indices(): + latency = compute_latency_stretch(result_data()) + assert latency.baseline["p99"] == 2 + assert latency.per_iteration is not None + values = latency.per_iteration["p99"] + assert len(values) == 3 + assert math.isnan(values[0]) and math.isnan(values[1]) + assert values[2] == 3 + + +def test_failure_summary_weights_patterns_and_counts_present_seeds(): + stats = analyze_results(result_data()).failure_stats + assert stats["tm_placement"].iterations == 3 + assert stats["tm_placement"].avg_ratio == pytest.approx(0.4 / 3) + combined = aggregate_failure_metrics([stats, {}])["tm_placement"] + assert combined.seeds == 1 + assert combined.total_iterations == 3 + + +def test_survival_curve_ties_and_between_sample_thresholds(): + samples = np.array([0, 1, 1, 4, 4, 4], dtype=float) + xs, probabilities = availability_curve(samples) + grid = np.array([-1, 0, 0.5, 1, 1.1, 3, 4, 4.01]) + expected = [(samples >= threshold).mean() for threshold in grid] + np.testing.assert_allclose(curve_on_grid(xs, probabilities, grid), expected) + np.testing.assert_allclose(probabilities, [1, 5 / 6, 0.5]) + + +def test_comparisons_read_current_latency_and_availability_tail(tmp_path): + import json + + from netlab.metrics.comparisons import compare_scenarios + + for scenario, values in {"A": [0.7, 0.8, 0.95], "B": [0.6, 0.6, 0.7]}.items(): + for seed, value in enumerate(values): + directory = tmp_path / scenario / f"seed{seed}" + directory.mkdir(parents=True) + (directory / "bac.json").write_text( + json.dumps( + { + "quantiles_pct": {"0.999": 1.0}, + "bw_at_probability_pct": {"99.9": value}, + } + ) + ) + (directory / "latency.json").write_text( + json.dumps({"failures": {"p99": 2 * value}}) + ) + results = { + r["metric"]: r for r in compare_scenarios(tmp_path, scenarios=("A", "B")) + } + assert results["bw_p999_pct"]["mean_diff"] == pytest.approx((0.1 + 0.2 + 0.25) / 3) + assert results["lat_fail_p99"]["mean_diff"] == pytest.approx( + 2 * (0.1 + 0.2 + 0.25) / 3 + ) + narrow = {r["metric"]: r for r in compare_scenarios(tmp_path, alpha=0.2)} + assert narrow["lat_fail_p99"]["ci_high"] < results["lat_fail_p99"]["ci_high"] diff --git a/tests/metrics/test_costpower.py b/tests/metrics/test_costpower.py index f61876b..7227361 100644 --- a/tests/metrics/test_costpower.py +++ b/tests/metrics/test_costpower.py @@ -2,7 +2,7 @@ import math -from metrics.costpower import CostPowerResult, compute_cost_power +from netlab.metrics.costpower import CostPowerResult, compute_cost_power def _fixture() -> dict: @@ -31,7 +31,7 @@ def _fixture() -> dict: def test_compute_cost_power_with_normalizations() -> None: res = _fixture() cp: CostPowerResult = compute_cost_power( - res, offered_at_alpha1=1000.0, reliable_at_p999=800.0 + res, offered_demand=1000.0, reliable_at_p999=800.0 ) assert cp.capex_total == 100000.0 assert cp.power_total_w == 5000.0 @@ -39,7 +39,6 @@ def test_compute_cost_power_with_normalizations() -> None: assert math.isclose(cp.per_offered_demand__watt_per_gbit, 5.0) assert math.isclose(cp.per_reliable_p999__usd_per_gbit, 125.0) assert math.isclose(cp.per_reliable_p999__watt_per_gbit, 6.25) - # Per-metro dataframe present and consistent assert list(cp.per_metro.columns) == [ "path", "platform_capex", diff --git a/tests/metrics/test_iterops.py b/tests/metrics/test_iterops.py index 8b00321..e8cda0e 100644 --- a/tests/metrics/test_iterops.py +++ b/tests/metrics/test_iterops.py @@ -3,7 +3,7 @@ import numpy as np import pytest -from metrics.iterops import compute_iter_ops +from netlab.metrics.iterops import compute_iter_ops def _iterops_fixture() -> dict: diff --git a/tests/metrics/test_latency.py b/tests/metrics/test_latency.py index 991a683..9bc5df3 100644 --- a/tests/metrics/test_latency.py +++ b/tests/metrics/test_latency.py @@ -3,7 +3,7 @@ import numpy as np import pytest -from metrics.latency import LatencyResult, compute_latency_stretch +from netlab.metrics.latency import LatencyResult, compute_latency_stretch def _latency_results() -> dict: @@ -23,26 +23,26 @@ def _latency_results() -> dict: # Failure 1 increases costs for both pairs; shares include best-path (equal to baseline min) f1_flows = [ { - "source": "metro1/dc1/node", - "destination": "metro1/dc2/leaf", + "source": "metro1/dc1/r1", + "destination": "metro1/dc2/r2", "cost_distribution": {"10": 2.5, "12": 2.5}, }, { - "source": "metro1/dc1/x", - "destination": "metro2/dc3/y", + "source": "metro1/dc1/r1", + "destination": "metro2/dc3/r3", "cost_distribution": {"20": 1.0, "30": 1.0}, }, ] # Failure 2 worse for second pair only f2_flows = [ { - "source": "metro1/dc1", - "destination": "metro1/dc2", + "source": "metro1/dc1/r1", + "destination": "metro1/dc2/r2", "cost_distribution": {"10": 5.0}, }, { - "source": "metro1/dc1", - "destination": "metro2/dc3", + "source": "metro1/dc1/r1", + "destination": "metro2/dc3/r3", "cost_distribution": {"20": 0.5, "40": 1.5}, }, ] @@ -123,7 +123,6 @@ def test_compute_latency_stretch_correctness() -> None: def test_latency_requires_baseline_key() -> None: res = _latency_results() - # Remove the baseline key to trigger the validation error del res["steps"]["tm_placement"]["data"]["baseline"] with pytest.raises(ValueError, match="baseline dict required"): compute_latency_stretch(res) @@ -180,6 +179,4 @@ def test_latency_occurrence_count_weighting() -> None: } } out = compute_latency_stretch(res) - # With 8 copies of stretch=2.0 and 2 copies of stretch=1.0, - # median p50 should be 2.0 (not 1.5 as with equal weights) assert np.isclose(out.failures["p50"], 2.0) diff --git a/tests/metrics/test_matrixdump.py b/tests/metrics/test_matrixdump.py index 466c1c1..d7b4ea9 100644 --- a/tests/metrics/test_matrixdump.py +++ b/tests/metrics/test_matrixdump.py @@ -2,7 +2,7 @@ import numpy as np -from metrics.matrixdump import compute_pair_matrices +from netlab.metrics.matrixdump import compute_pair_matrices def _fixture() -> dict: @@ -67,23 +67,23 @@ def _fixture() -> dict: def test_compute_pair_matrices_correctness() -> None: res = _fixture() tm_abs, tm_norm, mf_abs, mf_norm = compute_pair_matrices(res, include_maxflow=True) - # Expected columns (pairs) normalized to canonical DC path and arrow separator - expected_cols = ["m1/d1→m1/d2", "m1/d1→m2/d3"] + # Expected columns (pairs) preserving full endpoint paths and arrow separator + expected_cols = ["m1/d1/r→m1/d2/x", "m1/d1/r→m2/d3/x"] assert list(tm_abs.index) == expected_cols assert list(tm_norm.index) == expected_cols assert list(mf_abs.index) == expected_cols assert list(mf_norm.index) == expected_cols # For tm_abs at p50 over failures only [80,60] and [40,50] with 'lower' - assert np.isclose(tm_abs.loc["m1/d1→m1/d2", "p50.0"], 60.0) - assert np.isclose(tm_abs.loc["m1/d1→m2/d3", "p50.0"], 40.0) + assert np.isclose(tm_abs.loc["m1/d1/r→m1/d2/x", "p50.0"], 60.0) + assert np.isclose(tm_abs.loc["m1/d1/r→m2/d3/x", "p50.0"], 40.0) # Normalized by baseline demand (100, 50), clipped to 1.0 - assert np.isclose(tm_norm.loc["m1/d1→m1/d2", "p50.0"], 0.6) - assert np.isclose(tm_norm.loc["m1/d1→m2/d3", "p50.0"], 0.8) + assert np.isclose(tm_norm.loc["m1/d1/r→m1/d2/x", "p50.0"], 0.6) + assert np.isclose(tm_norm.loc["m1/d1/r→m2/d3/x", "p50.0"], 0.8) # MaxFlow percentiles (single failure iteration) - assert np.isclose(mf_abs.loc["m1/d1→m1/d2", "p50.0"], 50.0) - assert np.isclose(mf_abs.loc["m1/d1→m2/d3", "p50.0"], 55.0) + assert np.isclose(mf_abs.loc["m1/d1/r→m1/d2/x", "p50.0"], 50.0) + assert np.isclose(mf_abs.loc["m1/d1/r→m2/d3/x", "p50.0"], 55.0) # Normalized by baseline demand (clipped to 1.0) - assert np.isclose(mf_norm.loc["m1/d1→m1/d2", "p50.0"], 0.5) - assert np.isclose(mf_norm.loc["m1/d1→m2/d3", "p50.0"], 1.0) + assert np.isclose(mf_norm.loc["m1/d1/r→m1/d2/x", "p50.0"], 0.5) + assert np.isclose(mf_norm.loc["m1/d1/r→m2/d3/x", "p50.0"], 1.0) diff --git a/tests/metrics/test_msd.py b/tests/metrics/test_msd.py index 7b422d5..7de9a97 100644 --- a/tests/metrics/test_msd.py +++ b/tests/metrics/test_msd.py @@ -4,7 +4,7 @@ import pytest -from metrics.msd import AlphaResult, compute_alpha_star +from netlab.metrics.msd import AlphaResult, compute_alpha_star def test_alpha_from_msd_baseline_with_base_total() -> None: diff --git a/tests/metrics/test_native_verification.py b/tests/metrics/test_native_verification.py new file mode 100644 index 0000000..5e57c9f --- /dev/null +++ b/tests/metrics/test_native_verification.py @@ -0,0 +1,252 @@ +"""Native results, validation mutations and artifact lifecycle experiments.""" + +from __future__ import annotations + +import json +import math +from copy import deepcopy + +import pytest + +from dev.verify_metrics import ( + native, + scenario_document, + verify_exhaustive, + verify_variants, +) +from netlab.metrics.analysis import analyze_one_seed +from netlab.metrics.batch import run_metrics +from netlab.metrics.costpower import compute_cost_power +from netlab.metrics.sps import compute_sps +from netlab.metrics.summary import build_baseline_normalized_table + + +@pytest.fixture(scope="module") +def native_results(): + return native(scenario_document(1)) + + +def test_all_sixteen_native_failure_subsets(tmp_path): + verify_exhaustive(tmp_path) + verify_variants(tmp_path) + + +@pytest.mark.parametrize( + "mutation", + [ + "placed", + "dropped", + "cost", + "cost_volume", + "summary", + "count", + "duration", + "alpha", + "maxflow_baseline", + ], +) +def test_current_results_reject_corrupt_numbers(native_results, tmp_path, mutation): + r = deepcopy(native_results) + step = r["steps"]["tm_placement"] + flow = step["data"]["flow_results"][0]["flows"][0] + if mutation in ["placed", "dropped"]: + flow[mutation] += 1 + elif mutation == "cost": + flow["cost_distribution"] = {"NaN": flow["placed"]} + elif mutation == "cost_volume": + flow["cost_distribution"] = {"2": flow["placed"] + 1} + elif mutation == "summary": + step["data"]["baseline"]["summary"]["total_demand"] = math.inf + elif mutation == "count": + step["metadata"]["iterations"] += 1 + elif mutation == "duration": + step["metadata"]["duration_sec"] = -1 + elif mutation == "alpha": + r["steps"]["msd_baseline"]["data"]["alpha_star"] = math.nan + elif mutation == "maxflow_baseline": + r["steps"]["node_to_node_capacity_matrix"]["data"]["baseline"]["flows"][0][ + "placed" + ] = -1 + with pytest.raises(ValueError): + analyze_one_seed(r, tmp_path, False, enable_maxflow=True) + + +def test_maxflow_group_names_cannot_silently_become_outages(native_results): + r = deepcopy(native_results) + r["steps"]["node_to_node_capacity_matrix"]["data"]["baseline"]["flows"][0][ + "source" + ] = "^a/dc/node$" + with pytest.raises(ValueError, match="exact placement endpoints"): + compute_sps(r) + + +def test_no_baseline_ratio_without_a_denominator(tmp_path): + sdir = tmp_path / "baseline" / "seed1" + sdir.mkdir(parents=True) + (sdir / "bac.json").write_text( + json.dumps({"auc_normalized": 0, "bw_at_probability_pct": {"99.0": 0}}) + ) + table = build_baseline_normalized_table(tmp_path) + assert math.isnan(table.loc["baseline", "auc_norm_r"]) + assert math.isnan(table.loc["baseline", "bw_p99_pct_r"]) + assert math.isnan(table.loc["baseline", "lat_WES_delta_d"]) + assert math.isnan(table.loc["baseline", "node_count_r"]) + + +def test_rerun_replaces_stale_seeds_and_optional_artifacts(native_results, tmp_path): + root = tmp_path / "runs" + root.mkdir() + first = root / "baseline__seed1_scenario.results.json" + second = root / "baseline__seed2_scenario.results.json" + first.write_text( + json.dumps( + dict(native_results, scenario=dict(native_results["scenario"], seed=1)) + ) + ) + second.write_text( + json.dumps( + dict(native_results, scenario=dict(native_results["scenario"], seed=2)) + ) + ) + run_metrics(root, no_plots=True, enable_maxflow=True) + out = tmp_path / "runs_metrics" + assert (out / "baseline" / "seed2" / "bac.json").exists() + assert (out / "baseline" / "seed1" / "sps.json").exists() + second.unlink() + run_metrics(root, no_plots=True, enable_maxflow=False) + assert not (out / "baseline" / "seed2").exists() + assert not (out / "baseline" / "seed1" / "sps.json").exists() + assert not (out / "baseline" / "seed1" / "pairs_mf_abs.csv").exists() + assert json.loads((out / "provenance.json").read_text())["seeds_analyzed"] == { + "baseline": [1] + } + + +def test_invalid_rerun_does_not_publish_partial_metrics(native_results, tmp_path): + root = tmp_path / "runs" + root.mkdir() + first = root / "baseline__seed1_scenario.results.json" + first.write_text( + json.dumps( + dict(native_results, scenario=dict(native_results["scenario"], seed=1)) + ) + ) + run_metrics(root, no_plots=True) + out = tmp_path / "runs_metrics" + before = { + str(p.relative_to(out)): p.read_bytes() for p in out.rglob("*") if p.is_file() + } + # A later seed fails after the first one was analyzed. + bad = deepcopy(native_results) + bad["scenario"]["seed"] = 2 + bad["steps"]["tm_placement"]["data"]["baseline"]["flows"][0]["placed"] = -1 + (root / "baseline__seed2_scenario.results.json").write_text(json.dumps(bad)) + with pytest.raises(ValueError): + run_metrics(root, no_plots=True) + after = { + str(p.relative_to(out)): p.read_bytes() for p in out.rglob("*") if p.is_file() + } + assert before == after + assert not (out / "baseline" / "seed2").exists() + + +def test_cost_invalid_denominator_and_actual_zero(): + results = { + "steps": { + "cost_power": { + "data": {"levels": {"0": [{"capex_total": 0, "power_total_watts": 0}]}} + } + } + } + assert compute_cost_power(results, 100, 100).per_offered_demand__usd_per_gbit == 0 + assert ( + compute_cost_power(results, math.inf, 0).per_offered_demand__usd_per_gbit + is None + ) + results["steps"]["cost_power"]["data"]["levels"]["0"][0]["capex_total"] = -1 + with pytest.raises(ValueError): + compute_cost_power(results, 100, 100) + + +def test_multiseed_report_against_independent_reference_and_pattern_permutation( + tmp_path, +): + import pandas as pd + + from dev.verify_metrics import verify_multiseed + + root = verify_multiseed(tmp_path) + before = pd.read_csv(tmp_path / "multiseed_metrics" / "project.csv") + for path in root.glob("*.json"): + result = json.loads(path.read_text()) + for name in ["tm_placement", "node_to_node_capacity_matrix"]: + step = result["steps"][name] + step["data"]["flow_results"].reverse() + step["metadata"]["occurrence_counts"].reverse() + path.write_text(json.dumps(result)) + run_metrics(root, no_plots=True, enable_maxflow=True) + after = pd.read_csv(tmp_path / "multiseed_metrics" / "project.csv") + pd.testing.assert_frame_equal(before, after) + + +def test_metrics_json_is_strict_and_seed_mismatch_is_rejected(native_results, tmp_path): + from netlab.metrics.batch import group_by_scenario + from netlab.metrics.common import write_metric_json + + path = tmp_path / "metrics.json" + write_metric_json( + path, {"missing": math.nan, "infinite": math.inf, "nested": [0, math.nan]} + ) + + def reject_constant(text): + pytest.fail(f"Nonstandard JSON number: {text}") + + assert json.loads(path.read_text(), parse_constant=reject_constant) == { + "missing": None, + "infinite": None, + "nested": [0, None], + } + wrong_seed = tmp_path / "baseline__seed999_scenario.results.json" + wrong_seed.write_text(json.dumps(native_results)) + with pytest.raises(ValueError, match="seed disagrees"): + group_by_scenario([wrong_seed]) + + +@pytest.mark.parametrize("invalid", [-0.1, math.nan, math.inf, 1.1]) +def test_failure_statistics_reject_invalid_ratios(invalid): + from netlab.metrics_failure import compute_failure_stats + + with pytest.raises(ValueError): + compute_failure_stats({"tm": [invalid]}) + + +def test_native_without_path_details_reports_unavailable_latency(tmp_path): + doc = scenario_document(1) + doc["workflow"][1]["include_flow_details"] = False + raw = native(doc) + _, bac, _, latency, _, _, _ = analyze_one_seed(raw, tmp_path, True) + assert bac.series.tolist() == [8, 3] + assert latency.baseline["reference_coverage"] == 0 + assert latency.failures["reference_coverage"] == 0 + assert math.isnan(latency.failures["p99"]) + assert not (tmp_path / "latency.png").exists() + + +def test_changed_input_cannot_publish_metrics(native_results, tmp_path, monkeypatch): + import netlab.metrics.batch as batch + + root = tmp_path / "runs" + root.mkdir() + path = root / "baseline__seed42_scenario.results.json" + path.write_text(json.dumps(native_results)) + original = batch.analyze_one_seed + + def analyze_and_mutate(*args, **kwargs): + output = original(*args, **kwargs) + path.write_text(path.read_text() + "\n") + return output + + monkeypatch.setattr(batch, "analyze_one_seed", analyze_and_mutate) + with pytest.raises(ValueError, match="changed during metric analysis"): + batch.run_metrics(root, no_plots=True) + assert not (tmp_path / "runs_metrics").exists() diff --git a/tests/metrics/test_numerical_verification.py b/tests/metrics/test_numerical_verification.py new file mode 100644 index 0000000..23e13a7 --- /dev/null +++ b/tests/metrics/test_numerical_verification.py @@ -0,0 +1,275 @@ +"""Check metrics against independent calculations and scaling invariants.""" + +from __future__ import annotations + +import math +from fractions import Fraction + +import numpy as np +import pandas as pd +import pytest +from scipy import stats + +from netlab.metrics.bac import _compute_bac_stats, compute_bac +from netlab.metrics.costpower import compute_cost_power +from netlab.metrics.distributions import availability_curve, curve_on_grid +from netlab.metrics.latency import compute_latency_stretch +from netlab.metrics.matrixdump import compute_pair_matrices +from netlab.metrics.msd import compute_alpha_star +from netlab.metrics.paired import holm_adjust, paired_t +from netlab.metrics.sps import compute_sps + + +def record(source, placed, cost=1, demand=None): + return dict( + source=source, + destination="b/dc/node", + priority=0, + demand=placed if demand is None else demand, + placed=placed, + dropped=0 if demand is None else demand - placed, + cost_distribution={str(cost): placed} if placed else {}, + ) + + +def payload(samples, baseline=9): + return { + "steps": { + name: { + "data": { + "baseline": {"flows": [record("a/dc/node", baseline)]}, + "flow_results": [ + dict(occurrence_count=1, flows=[record("a/dc/node", x)]) + for x in samples + ], + } + } + for name in ("tm_placement", "node_to_node_capacity_matrix") + } + } + + +def inverse_survival_oracle(values, percent): + p = Fraction(str(percent)) / 100 + return max( + x + for x in set(values) + if Fraction(sum(y >= x for y in values), len(values)) >= p + ) + + +@pytest.mark.parametrize( + "n", [1, 2, 3, 10, 11, 20, 21, 100, 101, 1000, 1001, 10000, 10001] +) +def test_bandwidth_probability_matches_counting_oracle(n): + samples = list(range(n)) + actual = _compute_bac_stats(pd.Series(samples, dtype=float), max(n - 1, 1))[4] + for percent, bandwidth in actual.items(): + # Independent rational integer-count oracle, restricted to candidate tail ranks. + candidates = samples[: max(2, n // 10 + 1)] + p = Fraction(str(percent)) / 100 + expected = max(x for x in candidates if Fraction(n - x, n) >= p) + assert bandwidth == expected, (n, percent, bandwidth, expected) + + +def test_bandwidth_replicating_empirical_distribution_is_invariant(): + values = list(range(20)) + one = _compute_bac_stats(pd.Series(values), 19)[4] + repeat = _compute_bac_stats(pd.Series(values * 3), 19)[4] + assert one == repeat + + +def test_sps_probability_matches_counting_oracle(): + result = compute_sps(payload(range(10))) + assert result.sps_at_probability[90] == pytest.approx(1 / 9) + + +def test_distinct_physical_endpoints_do_not_share_latency_reference_or_matrix_row(): + baseline = {"flows": [record("a/dc/node1", 1, 1), record("a/dc/node2", 1, 10)]} + results = payload([]) + data = results["steps"]["tm_placement"]["data"] + data["baseline"] = baseline + data["flow_results"] = [dict(baseline, occurrence_count=1)] + latency = compute_latency_stretch(results) + assert latency.baseline["p99"] == 1 + assert latency.baseline["WES"] == 0 + matrix = compute_pair_matrices(results, False)[0] + assert len(matrix.index) == 2 + + +def test_missing_cost_is_unavailable_not_free(): + cost = compute_cost_power({}, 100, 100) + assert math.isnan(cost.capex_total) + assert cost.per_offered_demand__usd_per_gbit is None + + +@pytest.mark.parametrize("bad", [-1, math.nan, math.inf]) +def test_alpha_rejects_invalid_numeric_values(bad): + with pytest.raises(ValueError): + compute_alpha_star( + { + "steps": { + "msd_baseline": { + "data": {"alpha_star": bad, "base_demands": [{"volume": 1}]} + } + } + } + ) + + +def test_zero_baseline_preserves_absolute_outage_not_fictitious_availability(): + result = compute_bac(payload([0, 0], baseline=0), "tm_placement") + assert result.series.tolist() == [0, 0, 0] + assert result.bw_at_probability_abs[99] == 0 + assert math.isnan(result.auc_normalized) + assert math.isnan(result.bw_at_probability_pct[99]) + + +def test_baseline_only_analysis_has_one_sample(): + result = compute_bac(payload([], baseline=10), "tm_placement") + assert result.series.tolist() == [10] + assert result.bw_at_probability_pct[99] == 1 + + +def test_empirical_survival_on_random_grids(): + rng = np.random.default_rng(744) + for _ in range(100): + samples = rng.integers(0, 30, size=int(rng.integers(1, 100))) + grid = np.arange(-0.5, 31, 0.5) + expected = [(samples >= threshold).mean() for threshold in grid] + np.testing.assert_allclose( + curve_on_grid(*availability_curve(samples), grid), expected + ) + + +def test_paired_statistics_against_scipy_and_scale_invariance(): + rng = np.random.default_rng(745) + for n in [3, 5, 10, 50]: + for scale in [1e-150, 1e-15, 1, 1e15, 1e150]: + a, b = rng.normal(size=(2, n)) * scale + actual = paired_t(a, b) + expected = stats.ttest_rel(a, b) + np.testing.assert_allclose(actual["t_stat"], expected.statistic, rtol=1e-12) + np.testing.assert_allclose(actual["p"], expected.pvalue, rtol=1e-12) + ci = expected.confidence_interval() + np.testing.assert_allclose( + [actual["ci_low"] / scale, actual["ci_high"] / scale], + [ci.low / scale, ci.high / scale], + rtol=1e-12, + ) + + +def test_holm_matches_hand_calculation(): + # Sorted .01, .03, .04: maxima of .03, .06, .04 -> .03, .06, .06. + result = holm_adjust([("c", 0.04), ("a", 0.01), ("b", 0.03), ("missing", math.nan)]) + assert result["a"] == pytest.approx(0.03) + assert result["b"] == result["c"] == pytest.approx(0.06) + assert math.isnan(result["missing"]) + + +@pytest.mark.parametrize("scale", [1e-200, 1e200]) +def test_inference_remains_valid_at_extreme_measurement_scales(scale): + sample = np.array([1.0, 2.0, 4.0, 8.0]) + original = paired_t(sample, np.zeros(4)) + scaled = paired_t(sample * scale, np.zeros(4)) + assert scaled["p"] == pytest.approx(original["p"]) + assert scaled["t_stat"] == pytest.approx(original["t_stat"]) + assert not scaled["deterministic"] + + +def test_constant_decimal_difference_is_detected_exactly(): + assert paired_t(np.full(3, 0.1), np.zeros(3))["deterministic"] + + +@pytest.mark.parametrize( + "values", [[("x", 0.1), ("x", 0.2)], [("x", math.inf)], [("x", -0.1)]] +) +def test_holm_rejects_ambiguous_or_invalid_family(values): + with pytest.raises(ValueError): + holm_adjust(values) + + +def test_latency_metrics_ignore_cost_measurement_units(): + def evaluate(scale): + data = payload([]) + step = data["steps"]["tm_placement"]["data"] + step["baseline"] = {"flows": [record("A", 10, 2 * scale)]} + step["flow_results"] = [ + dict(occurrence_count=1, flows=[record("A", 10, 4 * scale)]) + ] + return compute_latency_stretch(data).failures + + assert evaluate(1e-12) == evaluate(1) + + +def test_latency_weighted_tails_against_explicit_volume_replication(): + rng = np.random.default_rng(746) + for _ in range(100): + costs = rng.integers(1, 20, 5) + weights = rng.integers(1, 30, 5) + data = payload([]) + step = data["steps"]["tm_placement"]["data"] + step["baseline"] = {"flows": [record("A", 1, 1)]} + flows = [ + record("A", int(w), int(c)) for c, w in zip(costs, weights, strict=True) + ] + step["flow_results"] = [dict(occurrence_count=1, flows=flows)] + values = sorted( + int(c) for c, w in zip(costs, weights, strict=True) for _ in range(int(w)) + ) + result = compute_latency_stretch(data).failures + for key, q in [ + ("p50", Fraction(1, 2)), + ("p95", Fraction(95, 100)), + ("p99", Fraction(99, 100)), + ]: + expected = values[math.ceil(len(values) * q) - 1] + assert result[key] == expected + assert result["WES"] == pytest.approx(sum(v - 1 for v in values) / len(values)) + assert result["best_path_share"] == pytest.approx( + sum(v == 1 for v in values) / len(values) + ) + + +def test_common_seed_pairing_precedes_normalization(tmp_path): + import json + + from netlab.metrics.comparisons import compare_scenarios + from netlab.metrics.summary import build_baseline_normalized_table + + # Seed 1 and 5 must not participate; median(A/B) differs from median(A)/median(B). + samples = { + "baseline": {1: 999, 2: 1, 3: 2, 4: 100}, + "candidate": {2: 2, 3: 6, 4: 400, 5: -999}, + } + for name, rows in samples.items(): + for seed, value in rows.items(): + directory = tmp_path / name / f"seed{seed}" + directory.mkdir(parents=True) + (directory / "bac.json").write_text( + json.dumps( + {"auc_normalized": value, "bw_at_probability_pct": {"99.9": value}} + ) + ) + (directory / "alpha.json").write_text(json.dumps({"alpha_star": value})) + table = build_baseline_normalized_table(tmp_path) + assert table.loc["candidate", "auc_norm_r"] == 3 + record = next( + r + for r in compare_scenarios(tmp_path, scenarios=("candidate", "baseline")) + if r["metric"] == "alpha_star" + ) + assert record["n"] == 3 + assert record["mean_diff"] == pytest.approx((1 + 4 + 300) / 3) + + +def test_latency_partial_reference_coverage_is_visible(): + data = payload([]) + step = data["steps"]["tm_placement"]["data"] + step["baseline"] = {"flows": [record("A", 10, 1), record("unreachable", 0)]} + step["flow_results"] = [ + dict(occurrence_count=1, flows=[record("A", 5, 2), record("unreachable", 5, 3)]) + ] + result = compute_latency_stretch(data) + assert result.failures["p99"] == 2 + assert result.failures["reference_coverage"] == 0.5 diff --git a/tests/metrics/test_paired.py b/tests/metrics/test_paired.py index 4438387..7f4d5bc 100644 --- a/tests/metrics/test_paired.py +++ b/tests/metrics/test_paired.py @@ -1,28 +1,40 @@ from __future__ import annotations -import math - import numpy as np +import pytest +from scipy import stats + +from netlab.metrics.paired import holm_adjust, paired_t + + +def test_matches_scipy_and_has_correct_sign(): + a = np.array([2.0, 3.0, 5.0, 4.0, 7.0]) + b = np.array([1.0, 3.0, 2.0, 5.0, 2.0]) + expected = stats.ttest_rel(a, b) + actual = paired_t(a, b) + assert actual["t_stat"] == pytest.approx(expected.statistic) + assert actual["p"] == pytest.approx(expected.pvalue) + assert actual["ci_low"] == pytest.approx(expected.confidence_interval().low) + assert paired_t(np.zeros(5), np.ones(5))["t_stat"] == -float("inf") + -from metrics.paired import paired_normal_test_holm, paired_wilcoxon_sign +def test_holm_excludes_missing_tests(): + adjusted = holm_adjust([("a", 0.01), ("b", 0.04), ("missing", float("nan"))]) + assert adjusted["a"] == 0.02 + assert adjusted["b"] == 0.04 + assert np.isnan(adjusted["missing"]) -def test_paired_normal_test_holm_known_values() -> None: - # Construct small dataset with known mean and std - a = np.array([2.0, 3.0, 4.0, 5.0, 6.0]) - b = np.array([1.0, 2.0, 3.0, 4.0, 5.0]) - # Differences d = [1,1,1,1,1] => mean=1, sd=0; z=inf; p=0 - res = paired_normal_test_holm(a, b) - assert math.isinf(res["t_stat"]) or res["t_stat"] > 1e6 - assert res["p"] == 0.0 and res["p_adj"] == 0.0 - assert res["n"] == 5 +def test_rejects_unpaired_shapes(): + with pytest.raises(ValueError): + paired_t(np.ones(3), np.ones(4)) -def test_paired_wilcoxon_sign_symmetric_case() -> None: - # Differences: [1, -1, 1, -1, 1, -1, 1, -1, 1, -1] => equal positives and negatives - a = np.array([2, 0, 2, 0, 2, 0, 2, 0, 2, 0], dtype=float) - b = np.array([1, 1, 1, 1, 1, 1, 1, 1, 1, 1], dtype=float) - res = paired_wilcoxon_sign(a, b) - assert res["n"] == 10 - assert math.isclose(res["z"], 0.0, abs_tol=1e-9) - assert math.isclose(res["p"], 1.0, rel_tol=0.0, abs_tol=1e-12) +def test_inference_does_not_change_with_measurement_units(): + a = np.array([1.0, 2.0, 4.0, 8.0]) + b = np.zeros(4) + original = paired_t(a, b) + scaled = paired_t(a * 1e-15, b) + assert scaled["p"] == pytest.approx(original["p"]) + assert scaled["t_stat"] == pytest.approx(original["t_stat"]) + assert not scaled["deterministic"] diff --git a/tests/metrics/test_plots_core.py b/tests/metrics/test_plots_core.py index 4522f52..7b76bc1 100644 --- a/tests/metrics/test_plots_core.py +++ b/tests/metrics/test_plots_core.py @@ -6,24 +6,21 @@ import numpy as np import pandas as pd -from metrics.bac import compute_bac, plot_bac -from metrics.plot_bac_delta_vs_baseline import ( +from netlab.metrics.bac import compute_bac, plot_bac +from netlab.metrics.distributions import availability_curve, curve_on_grid +from netlab.metrics.plot_bac_delta_vs_baseline import ( _pooled_availability_curve, plot_bac_delta_vs_baseline, ) -from metrics.plot_cross_seed_bac import ( - _availability_curve_from_samples, +from netlab.metrics.plot_cross_seed_bac import ( _load_seed_bac, plot_cross_seed_bac, ) -from metrics.plot_cross_seed_iterops import ( +from netlab.metrics.plot_cross_seed_iterops import ( _load_iterops, plot_cross_seed_iterops, ) -from metrics.plot_cross_seed_latency import ( - _availability_curve as _lat_availability_curve, -) -from metrics.plot_cross_seed_latency import ( +from netlab.metrics.plot_cross_seed_latency import ( _load_seed_latency, plot_cross_seed_latency, ) @@ -42,7 +39,7 @@ def test_cross_seed_bac_core_curves_match_pooled_grid() -> None: for scen_dir in sorted( [p for p in root.iterdir() if p.is_dir() and not p.name.startswith("_")] ): - # Load pooled grid from reference (written by metrics_cmd) + # Compare plot data with the saved batch report. import json bjs = json.loads((scen_dir / "bac_summary.json").read_text(encoding="utf-8")) @@ -57,9 +54,7 @@ def test_cross_seed_bac_core_curves_match_pooled_grid() -> None: samples_pct, _offered = _load_seed_bac(seed_dir) if samples_pct.size: pooled_samples.extend(samples_pct.tolist()) - xs, avail = _availability_curve_from_samples( - np.asarray(pooled_samples, dtype=float) - ) + xs, avail = availability_curve(np.asarray(pooled_samples, dtype=float)) assert xs.size == x_ref.size assert np.allclose(xs, x_ref, rtol=0.0, atol=0.0) assert np.allclose(avail, a_ref, rtol=0.0, atol=0.0) @@ -84,7 +79,7 @@ def test_bac_delta_vs_baseline_core_matches_reference() -> None: assert np.allclose(base_a, base_av) grid = np.linspace(80.0, 100.0, 1 + int(4 * (100.0 - 80.0))) - base_on_grid = np.interp(grid, base_x, base_a, left=base_a[0], right=base_a[-1]) + base_on_grid = curve_on_grid(base_x, base_a, grid) for scen_dir in sorted( [p for p in root.iterdir() if p.is_dir() and not p.name.startswith("_")] @@ -94,16 +89,14 @@ def test_bac_delta_vs_baseline_core_matches_reference() -> None: sx, sa = _pooled_availability_curve(scen_dir) if sx.size == 0: continue - s_on_grid = np.interp(grid, sx, sa, left=sa[0], right=sa[-1]) + s_on_grid = curve_on_grid(sx, sa, grid) delta = s_on_grid - base_on_grid # Reference delta computed from bac_summary.json pooled grids sjs = json.loads((scen_dir / "bac_summary.json").read_text(encoding="utf-8")) sx_ref = np.asarray(sjs["pooled_grid"]["x_pct"], dtype=float) sa_ref = np.asarray(sjs["pooled_grid"]["availability"], dtype=float) - s_on_grid_ref = np.interp( - grid, sx_ref, sa_ref, left=sa_ref[0], right=sa_ref[-1] - ) + s_on_grid_ref = curve_on_grid(sx_ref, sa_ref, grid) delta_ref = s_on_grid_ref - base_on_grid assert np.allclose(delta, delta_ref, rtol=1e-12, atol=1e-12) @@ -155,7 +148,7 @@ def test_cross_seed_latency_core_shapes() -> None: pooled.extend(arr.tolist()) if not pooled: continue - xs, avail = _lat_availability_curve(np.asarray(pooled, dtype=float)) + xs, avail = availability_curve(np.asarray(pooled, dtype=float)) assert xs.size > 0 and avail.size == xs.size # Monotonicity and range checks assert np.all(np.diff(xs) >= 0.0) @@ -165,28 +158,24 @@ def test_cross_seed_latency_core_shapes() -> None: def test_plot_functions_save_files(tmp_path: Path) -> None: root = _data_root() / "scenarios_metrics" - # Save BAC figure bac_png = tmp_path / "BAC.png" out = plot_cross_seed_bac( root, only=["small_baseline", "small_clos"], save_to=bac_png ) assert out is not None and out.exists() - # Save latency figure lat_png = tmp_path / "Latency_p99.png" out2 = plot_cross_seed_latency( root, metric="p99", only=["small_baseline", "small_clos"], save_to=lat_png ) assert out2 is not None and out2.exists() - # Save iterops figure iterops_png = tmp_path / "IterationOps.png" out3 = plot_cross_seed_iterops( root, only=["small_baseline", "small_clos"], save_to=iterops_png ) assert out3 is not None and out3.exists() - # Save BAC delta vs baseline delta_png = tmp_path / "BAC_delta_vs_baseline.png" out4 = plot_bac_delta_vs_baseline( root, baseline="small_baseline", save_to=delta_png diff --git a/tests/metrics/test_sps.py b/tests/metrics/test_sps.py index f076103..bc9a3e0 100644 --- a/tests/metrics/test_sps.py +++ b/tests/metrics/test_sps.py @@ -2,7 +2,7 @@ import numpy as np -from metrics.sps import SpsResult, compute_sps +from netlab.metrics.sps import SpsResult, compute_sps def _sps_fixture() -> dict: @@ -87,7 +87,9 @@ def test_sps_occurrence_count_weighting() -> None: }, "node_to_node_capacity_matrix": { "data": { - "baseline": {"flows": []}, + "baseline": { + "flows": [{"source": "A", "destination": "B", "placed": 100}] + }, "flow_results": [ { "failure_id": "f1", diff --git a/tests/metrics/test_summary_module.py b/tests/metrics/test_summary_module.py index 7e6506a..d285b1a 100644 --- a/tests/metrics/test_summary_module.py +++ b/tests/metrics/test_summary_module.py @@ -5,10 +5,9 @@ import numpy as np import pandas as pd -from metrics.summary import ( +from netlab.metrics.paired import holm_adjust, paired_t +from netlab.metrics.summary import ( _build_normalized_insights, - _holm_adjust, - _paired_t_with_ci, _print_normalized_insights, build_baseline_normalized_table, build_project_summary_table, @@ -51,7 +50,6 @@ def test_build_baseline_normalized_table_has_expected_columns() -> None: root = _metrics_root() df = build_baseline_normalized_table(root).sort_index() assert "baseline" in df.columns - # A few key normalized metrics should be present for c in ("bw_p99_pct_r", "auc_norm_r", "USD_per_Gbit_offered_r"): assert c in df.columns @@ -61,23 +59,9 @@ def test_print_pretty_table_does_not_crash(capsys) -> None: df = build_project_summary_table(root) print_pretty_table(df, title="Consolidated project metrics") out = capsys.readouterr().out - # It should print some header or rows assert "project" in out or "scenario" in out or "metrics" in out -def test_print_pretty_table_without_rich(monkeypatch, capsys) -> None: - import metrics.summary as summ - - # Exercise plain-text output without Rich. - monkeypatch.setattr(summ, "Console", None) - monkeypatch.setattr(summ, "RichTable", None) - root = _data_root() / "scenarios_metrics" - df = build_project_summary_table(root) - print_pretty_table(df, title="Consolidated project metrics") - out = capsys.readouterr().out - assert "scenario" in out - - def test_save_project_csv_incremental(tmp_path: Path) -> None: df = pd.DataFrame( { @@ -94,26 +78,25 @@ def test_save_project_csv_incremental(tmp_path: Path) -> None: def test_build_normalized_insights_shape() -> None: root = _data_root() / "scenarios_metrics" data = _build_normalized_insights(root) - # Returns a list of dicts with scenario key assert isinstance(data, list) if data: assert "scenario" in data[0] def test_holm_and_paired_t_helpers() -> None: - # _holm_adjust monotonic step-down behavior + # Holm adjustment is monotonic in sorted p-values. pairs = [(("a", "b"), 0.01), (("a", "c"), 0.02), (("b", "c"), 0.50)] - adjusted = _holm_adjust(pairs) + adjusted = holm_adjust(pairs) assert adjusted[("a", "b")] <= adjusted[("a", "c")] <= adjusted[("b", "c")] - # _paired_t_with_ci degenerate case (zero variance) and regular case + # Check both constant and varying paired differences. import numpy as _np a = _np.array([1.0, 1.0, 1.0, 1.0]) b = _np.array([0.0, 0.0, 0.0, 0.0]) import math as _math - res_det = _paired_t_with_ci(a, b) + res_det = paired_t(a, b) assert res_det.get("deterministic") is True # Degenerate case may yield infinite t; accept inf t_det = res_det.get("t_stat", _np.nan) @@ -121,7 +104,7 @@ def test_holm_and_paired_t_helpers() -> None: a2 = _np.array([1.0, 2.0, 3.0, 4.0]) b2 = _np.array([0.5, 2.0, 1.0, 3.5]) - res = _paired_t_with_ci(a2, b2) + res = paired_t(a2, b2) assert res.get("deterministic") is False assert _np.isfinite(res.get("t_stat", _np.nan)) @@ -153,7 +136,6 @@ def test_normalized_table_heuristic_baseline_when_missing_baseline_dir( for scen in ("small_clos", "small_dragonfly"): src = repo_root / scen dst = tmp_path / scen - # Copy directory tree for p in src.rglob("*"): rel = p.relative_to(src) target = dst / rel diff --git a/tests/test_cli_subcommands.py b/tests/test_cli_subcommands.py index 0b62f8c..dceac74 100644 --- a/tests/test_cli_subcommands.py +++ b/tests/test_cli_subcommands.py @@ -3,8 +3,6 @@ import sys from pathlib import Path -import pytest - def _run_cli(argv: list[str]) -> int: import netlab.cli as cli @@ -15,7 +13,7 @@ def _run_cli(argv: list[str]) -> int: try: cli.main() return 0 - except SystemExit as e: # die() uses sys.exit + except SystemExit as e: return int(e.code) if e.code is not None else 0 finally: sys.argv = old @@ -35,43 +33,37 @@ def test_cli_run_no_yamls_exits_early(tmp_path: Path, capsys) -> None: assert "No YAMLs under" in captured.err -@pytest.mark.parametrize( - "inspect_status, run_status", [("❌", "⏭️ skipped"), ("✅", "❌")] -) -def test_cli_run_reports_ngraph_failure( - tmp_path, monkeypatch, capsys, inspect_status, run_status -): - import netlab.cli as cli - +def test_cli_run_reports_build_failure(tmp_path, capsys): master = tmp_path / "scenario.yml" master.write_text("{}") - monkeypatch.setattr(cli, "_generate_masters", lambda **kwargs: []) - monkeypatch.setattr(cli, "_build_seed_scenario", lambda *args: (master, 0)) - monkeypatch.setattr( - cli, "_inspect_run_one", lambda *args: (master, inspect_status, run_status) - ) output = tmp_path / "scenarios" code = _run_cli( - ["run", str(master), "--seeds", "42", "--scenarios-dir", str(output)] + [ + "run", + str(master), + "--seeds", + "42", + "--graphs-dir", + str(tmp_path), + "--scenarios-dir", + str(output), + ] ) assert code != 0 - assert "NetGraph failed" in capsys.readouterr().err - assert (output / "_run_summaries/scenario.tsv").is_file() + assert "scenario/graph" in capsys.readouterr().err assert (output / "provenance.json").is_file() def test_cli_metrics_summary_smoke(capsys) -> None: - # Uses bundled test data under tests/data data_root = Path(__file__).resolve().parent / "data" scen = data_root / "scenarios" - code = _run_cli(["metrics", str(scen), "--summary"]) # print-only path + code = _run_cli(["metrics", str(scen), "--summary"]) out = capsys.readouterr().out assert code == 0 assert "Consolidated project metrics" in out def test_cli_metrics_run_on_temp_copy(tmp_path: Path) -> None: - # Copy scenarios from tests/data into a temp dir and run metrics without plots data_root = Path(__file__).resolve().parent / "data" src = data_root / "scenarios" dst = tmp_path / "scenarios" @@ -80,9 +72,8 @@ def test_cli_metrics_run_on_temp_copy(tmp_path: Path) -> None: target = dst / p.relative_to(src) target.parent.mkdir(parents=True, exist_ok=True) target.write_bytes(p.read_bytes()) - code = _run_cli(["metrics", str(dst), "--no-plots"]) # compute path + code = _run_cli(["metrics", str(dst), "--no-plots"]) assert code == 0 - # Verify outputs exist out_root = tmp_path / "scenarios_metrics" assert (out_root / "project.csv").exists() @@ -90,10 +81,9 @@ def test_cli_metrics_run_on_temp_copy(tmp_path: Path) -> None: def test_cli_test_subcommand_smoke(capsys) -> None: data_root = Path(__file__).resolve().parent / "data" scen = data_root / "scenarios" - code = _run_cli(["test", str(scen), "small_baseline", "small_clos"]) # no crash + code = _run_cli(["test", str(scen), "small_baseline", "small_clos"]) out = capsys.readouterr().out assert code == 0 - # Either insight table or absence message paths are acceptable assert ( ("Paired t-tests" in out) or ("No common-seed paired results" in out) diff --git a/tests/test_cli_summary_smoke.py b/tests/test_cli_summary_smoke.py index ceacdeb..7d15c86 100644 --- a/tests/test_cli_summary_smoke.py +++ b/tests/test_cli_summary_smoke.py @@ -2,7 +2,7 @@ from pathlib import Path -from netlab.metrics_cmd import print_summary_from_csv +from netlab.metrics.reporting import print_summary_from_csv def test_print_summary_from_csv_smoke(capsys) -> None: diff --git a/tests/test_current_ngraph_integration.py b/tests/test_current_ngraph_integration.py index cf623fc..e38cb96 100644 --- a/tests/test_current_ngraph_integration.py +++ b/tests/test_current_ngraph_integration.py @@ -12,7 +12,7 @@ import pytest import yaml -from netlab.metrics_cmd import analyze_one_seed +from netlab.metrics.analysis import analyze_one_seed @pytest.fixture(scope="module") @@ -78,7 +78,11 @@ def test_metrics_cli_on_fresh_results(current_results): @pytest.mark.parametrize( "volume, message", - [(0, "zero-demand"), (-1, "negative demand"), (float("nan"), "non-numeric demand")], + [ + (0, "zero-demand"), + (-1, "demand volume must be a finite nonnegative number"), + (float("nan"), "demand volume must be a finite nonnegative number"), + ], ) def test_current_demands_still_validated(current_results, tmp_path, volume, message): results = copy.deepcopy(current_results[0]) @@ -90,7 +94,7 @@ def test_current_demands_still_validated(current_results, tmp_path, volume, mess def test_demand_total_must_match_placement(current_results, tmp_path): results = copy.deepcopy(current_results[0]) results["steps"]["msd_baseline"]["data"]["base_demands"][0]["volume"] = 101 - with pytest.raises(ValueError, match="total_demand does not match"): + with pytest.raises(ValueError, match="total flow demand.*does not match"): analyze_one_seed(results, tmp_path, False) @@ -98,7 +102,7 @@ def test_demand_total_must_match_placement(current_results, tmp_path): def test_current_demand_fields_required(current_results, tmp_path, field): results = copy.deepcopy(current_results[0]) del results["steps"]["msd_baseline"]["data"]["base_demands"][0][field] - with pytest.raises(ValueError, match="Empty source/target|non-numeric demand"): + with pytest.raises(ValueError, match="source/target selector|demand volume must"): analyze_one_seed(results, tmp_path, False) @@ -123,8 +127,9 @@ def test_pairwise_maxflow_pipeline(tmp_path, monkeypatch): ) assert run.returncode == 0, run.stdout + run.stderr results = json.loads((output / "square.results.json").read_text()) - monkeypatch.setenv("NGRAPH_ENABLE_MAXFLOW", "1") - alpha, bac, maxflow, _, _, _, sps = analyze_one_seed(results, tmp_path, False) + alpha, bac, maxflow, _, _, _, sps = analyze_one_seed( + results, tmp_path, False, enable_maxflow=True + ) assert alpha.alpha_star == pytest.approx(1.0) assert alpha.base_total_demand == pytest.approx(12.0) assert len(bac.per_flow) == 12 diff --git a/tests/test_end_to_end_metrics.py b/tests/test_end_to_end_metrics.py index 379960c..acf0e9a 100644 --- a/tests/test_end_to_end_metrics.py +++ b/tests/test_end_to_end_metrics.py @@ -2,11 +2,11 @@ import numpy as np -from metrics.bac import compute_bac -from metrics.latency import compute_latency_stretch -from metrics.matrixdump import compute_pair_matrices -from metrics.msd import compute_alpha_star -from metrics.sps import compute_sps +from netlab.metrics.bac import compute_bac +from netlab.metrics.latency import compute_latency_stretch +from netlab.metrics.matrixdump import compute_pair_matrices +from netlab.metrics.msd import compute_alpha_star +from netlab.metrics.sps import compute_sps def _make_results_payload() -> dict: diff --git a/tests/test_integration_real_metrics.py b/tests/test_integration_real_metrics.py index 5fdee05..079f6c3 100644 --- a/tests/test_integration_real_metrics.py +++ b/tests/test_integration_real_metrics.py @@ -7,11 +7,11 @@ import numpy as np import pandas as pd -from metrics.summary import ( +from netlab.metrics.batch import run_metrics +from netlab.metrics.summary import ( build_baseline_normalized_table, build_project_summary_table, ) -from netlab.metrics_cmd import run_metrics def _copy_results_json_tree(src: Path, dst: Path) -> None: @@ -68,14 +68,12 @@ def test_run_metrics_matches_reference_outputs(tmp_path: Path) -> None: out_root = tmp_path / "scenarios_metrics" ref_root = data_root / "scenarios_metrics" - # Compare project-level CSVs (values should match exactly) _assert_project_csv_equal(out_root / "project.csv", ref_root / "project.csv") _assert_project_csv_equal( out_root / "project_baseline_normalized.csv", ref_root / "project_baseline_normalized.csv", ) - # Spot-check a few per-seed JSON outputs for equality ref_alpha = json.loads( (ref_root / "small_baseline/seed11/alpha.json").read_text(encoding="utf-8") ) @@ -90,10 +88,8 @@ def test_run_metrics_matches_reference_outputs(tmp_path: Path) -> None: out_bac = json.loads( (out_root / "small_clos/seed12/bac.json").read_text(encoding="utf-8") ) - # Key summary fields must match for k in ("auc_normalized",): assert float(out_bac.get(k)) == float(ref_bac.get(k)) - # Normalized BW at probability entries must match for p in ("90.0", "95.0", "99.0", "99.9"): assert float(out_bac["bw_at_probability_pct"][p]) == float( ref_bac["bw_at_probability_pct"][p] @@ -104,7 +100,6 @@ def test_summary_tables_match_reference() -> None: data_root = Path(__file__).resolve().parent / "data" ref_root = data_root / "scenarios_metrics" - # Build tables from the reference metrics dir and compare to the saved CSVs df_proj = build_project_summary_table(ref_root).sort_index() df_proj_ref = ( pd.read_csv(ref_root / "project.csv").set_index("scenario").sort_index() @@ -183,7 +178,6 @@ def test_all_scenario_metrics_match_reference(tmp_path: Path) -> None: dst_scen = tmp_path / "scenarios" _copy_results_json_tree(src_scen, dst_scen) - # Generate outputs run_metrics(root=dst_scen, no_plots=True, enable_maxflow=False) out_root = tmp_path / "scenarios_metrics" diff --git a/tests/test_mini_dcbb_verification.py b/tests/test_mini_dcbb_verification.py index 12c0dff..e126564 100644 --- a/tests/test_mini_dcbb_verification.py +++ b/tests/test_mini_dcbb_verification.py @@ -18,9 +18,9 @@ import numpy as np import pytest -from metrics.bac import compute_bac -from metrics.latency import compute_latency_stretch -from metrics.msd import compute_alpha_star +from netlab.metrics.bac import compute_bac +from netlab.metrics.latency import compute_latency_stretch +from netlab.metrics.msd import compute_alpha_star @pytest.fixture(scope="module") @@ -38,9 +38,6 @@ def results(tmp_path_factory) -> dict: return json.load(f) -# ── Alpha / MSD ────────────────────────────────────────────────────── - - def test_alpha_star(results: dict) -> None: """alpha_star = total_cross_site_capacity / demand = 300/100 = 3.0.""" alpha = compute_alpha_star(results) @@ -48,9 +45,6 @@ def test_alpha_star(results: dict) -> None: assert alpha.source == "msd_baseline" -# ── BAC: tm_lh_path ───────────────────────────────────────────────── - - def test_bac_lh_path_offered(results: dict) -> None: """Baseline delivers 600 (2 flows × 300 each).""" bac = compute_bac(results, step_name="tm_lh_path") @@ -69,9 +63,6 @@ def test_bac_lh_path_auc(results: dict) -> None: assert np.isclose(bac.auc_normalized, 6.0 / 11.0) -# ── Per-direction BAC: tm_lh_path ──────────────────────────────────── - - def test_bac_lh_path_per_flow_keys(results: dict) -> None: """Two directions produce two per-flow BAC entries.""" bac = compute_bac(results, step_name="tm_lh_path") @@ -95,9 +86,6 @@ def test_bac_lh_path_per_flow_symmetric(results: dict) -> None: assert np.isclose(pf.auc_normalized, 6.0 / 11.0) -# ── BAC: tm_1x_bb ─────────────────────────────────────────────────── - - def test_bac_1x_bb_series_length(results: dict) -> None: """1 baseline + 20 failure iterations.""" bac = compute_bac(results, step_name="tm_1x_bb") @@ -110,12 +98,9 @@ def test_bac_1x_bb_auc(results: dict) -> None: assert np.isclose(bac.auc_normalized, 11.0 / 21.0) -# ── Latency: tm_lh_path ───────────────────────────────────────────── - - @pytest.fixture def latency_lh(results: dict) -> dict: - """Latency uses hardcoded 'tm_placement' step name — remap.""" + """Map tm_lh_path to the latency reader's tm_placement step.""" return {"steps": {"tm_placement": results["steps"]["tm_lh_path"]}} @@ -155,9 +140,6 @@ def test_latency_lh_failures_wes(latency_lh: dict) -> None: assert np.isclose(lat.failures["WES"], expected) -# ── Latency: tm_1x_bb ─────────────────────────────────────────────── - - @pytest.fixture def latency_bb(results: dict) -> dict: return {"steps": {"tm_placement": results["steps"]["tm_1x_bb"]}} diff --git a/tests/test_scenario_merge.py b/tests/test_scenario_merge.py new file mode 100644 index 0000000..2b9d7e8 --- /dev/null +++ b/tests/test_scenario_merge.py @@ -0,0 +1,28 @@ +"""Explicit merge sources are required, and both standard YAML suffixes work.""" + +import pytest + +from netlab.scenario import ScenarioMerger + + +def test_merge_sources_and_named_workflow(tmp_path): + base = tmp_path / "scenario.yml" + base.write_text("network: {}\nworkflow: test\n") + sources = tmp_path / "sources" + sources.mkdir() + (sources / "demands.yaml").write_text("demands: {tm: []}\n") + workflows = tmp_path / "workflows" + workflows.mkdir() + (workflows / "steps.yaml").write_text( + "workflows: {test: [{type: NetworkStats, name: stats}]}\n" + ) + merger = ScenarioMerger(tmp_path) + merger.add_source(sources, "demands", source_key="demands") + merger.add_workflow_source(workflows) + merged = merger.merge(base, seed=8) + assert merged["seed"] == 8 + assert merged["demands"] == {"tm": []} + assert merged["workflow"] == [{"type": "NetworkStats", "name": "stats"}] + merger.add_source(tmp_path / "typo", "failures") + with pytest.raises(FileNotFoundError, match="typo"): + merger.merge(base) diff --git a/tests/test_simulation.py b/tests/test_simulation.py new file mode 100644 index 0000000..edf21ca --- /dev/null +++ b/tests/test_simulation.py @@ -0,0 +1,141 @@ +"""Tests for API execution, queue cancellation, and cache integrity.""" + +from __future__ import annotations + +import json +import time +from pathlib import Path + +import pytest + +from netlab.artifacts import cache_path +from netlab.simulation import ( + SimulationBatch, + inspect_scenario, + run_simulation, + simulate, +) +from netlab.tasks import TaskQueue + +SCENARIO = """ +seed: 7 +network: + nodes: {A: {}, B: {}} + links: [{source: A, target: B, capacity: 100, cost: 1}] +demands: + tm: [{source: A, target: B, volume: 10, mode: combine, flow_policy: SHORTEST_PATHS_ECMP}] +workflow: + - {type: MaximumSupportedDemand, name: msd_baseline, demand_set: tm, resolution: 0.1} +""" + + +def _late_write(path: Path) -> None: + time.sleep(2) + path.write_text("worker was not stopped") + + +def _crash() -> None: + import os + + os._exit(3) + + +def test_python_api_does_not_invoke_executables(monkeypatch): + def forbidden(*args, **kwargs): + pytest.fail("Simulation attempted an external command") + + monkeypatch.setattr("subprocess.Popen", forbidden) + inspection = inspect_scenario(SCENARIO) + assert (inspection.node_count, inspection.link_count, inspection.demand_count) == ( + 2, + 1, + 1, + ) + result = simulate(SCENARIO) + assert result.success + assert result.results["steps"]["msd_baseline"]["data"][ + "alpha_star" + ] == pytest.approx(10, abs=0.2) + + +def test_timeout_stops_work_and_queue_recovers(tmp_path): + marker = tmp_path / "late" + with TaskQueue() as queue: + timed = queue.submit(_late_write, marker, timeout=0.1) + following = queue.submit(pow, 3, 4, timeout=3) + with pytest.raises(TimeoutError): + timed.result() + assert following.result() == 81 + time.sleep(2.1) + assert not marker.exists() + + +def test_crashed_worker_is_replaced(): + from pebble import ProcessExpired + + with TaskQueue() as queue: + crashed = queue.submit(_crash, timeout=3) + with pytest.raises(ProcessExpired): + crashed.result() + assert queue.submit(pow, 2, 5, timeout=3).result() == 32 + + +def test_cache_checks_inputs_dependencies_and_output(tmp_path): + scenario = tmp_path / "scenario.yml" + results = scenario.with_suffix(".results.json") + scenario.write_text(SCENARIO) + assert run_simulation(scenario).status == "success" + assert run_simulation(scenario).status == "cached" + results.write_text("{}") + assert run_simulation(scenario).status == "success" + scenario.write_text(SCENARIO.replace("capacity: 100", "capacity: 200")) + assert run_simulation(scenario).status == "success" + assert ( + json.loads(results.read_text())["steps"]["msd_baseline"]["data"]["alpha_star"] + > 19 + ) + with TaskQueue() as queue: + batch = SimulationBatch(queue) + batch.packages["ngraph"]["version"] = "changed" + assert batch.submit(scenario).result().status == "success" + assert run_simulation(scenario).status == "success" + scenario.write_text("invalid: true") + assert run_simulation(scenario).status == "invalid" + assert not results.exists() + assert not cache_path(results).exists() + + +def test_invalid_task_does_not_block_valid_task(tmp_path): + bad, good = tmp_path / "bad.yml", tmp_path / "good.yml" + bad.write_text("invalid: true") + good.write_text(SCENARIO) + with TaskQueue(2) as queue: + batch = SimulationBatch(queue) + first, second = batch.submit(bad), batch.submit(good) + assert first.result().status == "invalid" + assert second.result().success + with pytest.raises(ValueError, match="Duplicate"): + batch.submit(good) + + +@pytest.mark.parametrize("timeout", [0, -1, float("nan"), float("inf")]) +def test_invalid_timeout_cannot_delete_existing_result(tmp_path, timeout): + scenario = tmp_path / "scenario.yml" + output = tmp_path / "result.json" + scenario.write_text(SCENARIO) + output.write_text("original") + with TaskQueue() as queue: + with pytest.raises(ValueError, match="timeout"): + SimulationBatch(queue).submit( + scenario, results_path=output, timeout=timeout + ) + assert output.read_text() == "original" + + +def test_output_cannot_replace_input(tmp_path): + scenario = tmp_path / "scenario.yml" + scenario.write_text(SCENARIO) + with TaskQueue() as queue: + with pytest.raises(ValueError, match="paths must differ"): + SimulationBatch(queue).submit(scenario, results_path=scenario) + assert scenario.read_text() == SCENARIO diff --git a/tests/test_topogen_pipeline.py b/tests/test_topogen_pipeline.py index d4e7494..439259c 100644 --- a/tests/test_topogen_pipeline.py +++ b/tests/test_topogen_pipeline.py @@ -17,6 +17,7 @@ import pytest import yaml from topogen.config import TopologyConfig +from topogen.corridors import corridor_risk_name from topogen.integrated_graph import save_to_json pytestmark = [pytest.mark.slow, pytest.mark.timeout(300)] @@ -52,7 +53,7 @@ def test_topogen_build_run_metrics(tmp_path: Path, template: str, policy: str): shutil.copy2( root / "lib/failure_policies.yml", tmp_path / "lib/failure_policies.yml" ) - graph = nx.Graph() + graph = nx.MultiGraph() coords = [(0.0, 0.0), (100000.0, 0.0), (50000.0, 100000.0)] names = ["new-york-jersey-city-newark", "columbus", "washington-arlington"] for idx, coord in enumerate(coords): @@ -60,6 +61,7 @@ def test_topogen_build_run_metrics(tmp_path: Path, template: str, policy: str): coord, node_type="metro", name=names[idx], + name_orig=names[idx], metro_id=f"metro_{idx}", x=coord[0], y=coord[1], @@ -72,10 +74,11 @@ def test_topogen_build_run_metrics(tmp_path: Path, template: str, policy: str): length_km=100.0, capacity=400, edge_type="corridor", - risk_groups=[f"corridor_risk_{a}_{b}"], + geometry=[coords[a], coords[b]], + risk_groups=[corridor_risk_name("corridor_risk", names[a], names[b], 0)], ) scenarios = tmp_path / "scenarios" - generated = scenarios / "tiny/tiny" + generated = tmp_path / "graphs" generated.mkdir(parents=True) save_to_json( graph, @@ -94,6 +97,8 @@ def test_topogen_build_run_metrics(tmp_path: Path, template: str, policy: str): "7", "--scenarios-dir", str(scenarios), + "--graphs-dir", + str(generated), "--build-jobs", "1", "--run-jobs", @@ -123,3 +128,23 @@ def test_topogen_build_run_metrics(tmp_path: Path, template: str, policy: str): assert run.returncode == 0, run.stdout + run.stderr summary = pd.read_csv(tmp_path / "scenarios_metrics/project.csv") assert summary["scenario"].tolist() == ["tiny"] + + +def test_missing_graph_invalidates_all_planned_seed_artifacts(tmp_path): + from netlab.pipeline import PipelineConfig, run_pipeline + + master = tmp_path / "tiny.yml" + master.write_text("{}") + output = tmp_path / "out" + scenario = output / "tiny/tiny__seed1/tiny__seed1_scenario.yml" + scenario.parent.mkdir(parents=True) + scenario.write_text("stale input") + result = scenario.with_suffix(".results.json") + result.write_text('{"stale": true}') + outcome = run_pipeline( + PipelineConfig([master], [1], output, graphs_dir=tmp_path / "missing") + ) + assert not outcome.success + assert "tiny/graph" in outcome.errors + assert not result.exists() + assert not scenario.exists() diff --git a/tests/test_visualize.py b/tests/test_visualize.py new file mode 100644 index 0000000..e3b2965 --- /dev/null +++ b/tests/test_visualize.py @@ -0,0 +1,36 @@ +"""SVG graph rendering keeps every positioned component inside the canvas.""" + +import xml.etree.ElementTree as ET + +import networkx as nx + +from netlab.visualize import GraphVisualizer + + +class TinyVisualizer(GraphVisualizer): + def layout(self): + self.positions = { + "A": (20, 20), + "B": (40, 20), + "C": (20, 50), + "D": (40, 50), + "isolated": (900, 800), + } + self.canvas_width, self.canvas_height = 1000, 900 + return self.positions + + +def test_split_svg_keeps_isolated_nodes_and_draws_each_edge_once(tmp_path): + graph = nx.Graph([("A", "B"), ("C", "D")]) + graph.add_node("isolated") + visualizer = TinyVisualizer(graph) + output = tmp_path / "nested/graph.svg" + assert visualizer.render_svg_split(output, gap=20, png=False) == output + root = ET.parse(output).getroot() + namespace = {"s": "http://www.w3.org/2000/svg"} + links = root.find("s:g[@id='links']", namespace) + assert links is not None and len(links) == 2 + assert float(root.attrib["width"]) > 900 + assert float(root.attrib["height"]) > 800 + nodes = root.find("s:g[@id='nodes']", namespace) + assert nodes is not None and len(nodes) == 5 diff --git a/topogen_configs/Clos_L16_S4.yml b/topogen_configs/Clos_L16_S4.yml index f1d5456..075ab51 100644 --- a/topogen_configs/Clos_L16_S4.yml +++ b/topogen_configs/Clos_L16_S4.yml @@ -1,7 +1,4 @@ output: - scenario_metadata: - title: "US Backbone, Clos_L16_S4" - formatting: json_indent: 2 yaml_anchors: true @@ -56,7 +53,6 @@ build: alpha_dc_to_pop: 1.1 beta_intra_pop: 0.8 flow_placement: EQUAL_BALANCED - edge_select: ALL_MIN_COST respect_min_base_capacity: true components: @@ -64,15 +60,18 @@ components: core: CoreRouter leaf: LeafRouter spine: SpineRouter - dc: {} + dc: "" optics: - core|core: 800G-ZR+ - leaf|leaf: 800G-ZR+ - core|leaf: 800G-ZR+ - leaf|dc: 800G-ZR+ - core|dc: 800G-ZR+ - leaf|spine: 800G-DR4 - spine|leaf: 1600G-2xDR4 + core->core: 800G-ZR+ + leaf->leaf: 800G-ZR+ + core->leaf: 800G-ZR+ + leaf->core: 800G-ZR+ + leaf->dc: 800G-ZR+ + core->dc: 800G-ZR+ + dc->core: 800G-ZR+ + dc->leaf: 800G-ZR+ + leaf->spine: 800G-DR4 + spine->leaf: 1600G-2xDR4 failure_policies: assignments: @@ -125,26 +124,26 @@ clustering: export_integrated_graph: true override_metro_clusters: - - "Denver" # Bridge Plains to Rockies via I-70/I-25 hub - - "Minneapolis" # Bridge Upper Midwest to Plains via I-94/I-35 hub - - "Salt Lake City" # Bridge CA to Rockies via I-80/I-15 hub - - "Las Vegas" # Bridge CA to Rockies via I-15 corridor - - "Phoenix" # Bridge CA to Southwest via I-10 corridor - - "Atlanta" # Bridge FL to Southeast via I-75/I-85 hub - - "Portland" # Bridge WA to CA via I-5 corridor - - "Omaha" # Bridge Upper Plains to Rockies via I-80/I-29 hub - - "Boise" # Bridge PNW to Rockies via I-84/I-15 hub - - "Albuquerque" # Bridge CA to TX via I-40/I-25 hub - - "New Orleans" # Bridge TX to Southeast via I-10/I-55 hub - - "Buffalo" # Bridge Northeast to Midwest via I-90/I-79 corridor - - "Chicago" # Bridge Great Lakes to Plains via I-90/I-55 hub - - "Dallas" # Bridge Plains to Gulf via I-35/I-20 hub - - "Kansas City" # Bridge Plains to Midwest via I-70/I-35 hub - - "St. Louis" # Bridge Midwest to South via I-70/I-55 hub - - "Charlotte" # Bridge Southeast to Northeast via I-85/I-77 hub - - "Nashville" # Bridge South to Midwest via I-40/I-65 hub - - "Pittsburgh" # Bridge Northeast to Midwest via I-76/I-79 hub - - "Sacramento" # Bridge Northern CA to Rockies via I-80 corridor + - "Denver" + - "Minneapolis" + - "Salt Lake City" + - "Las Vegas" + - "Phoenix" + - "Atlanta" + - "Portland" + - "Omaha" + - "Boise" + - "Albuquerque" + - "New Orleans" + - "Buffalo" + - "Chicago" + - "Dallas" + - "Kansas City" + - "St. Louis" + - "Charlotte" + - "Nashville" + - "Pittsburgh" + - "Sacramento" coordinate_precision: 1 area_precision: 2 @@ -153,9 +152,7 @@ highway_processing: min_edge_length_km: 0.0 snap_precision_m: 150.0 highway_classes: ["S1100"] - min_cycle_nodes: 3 filter_largest_component: true - validation_sample_size: 5 corridors: k_paths: 1 diff --git a/topogen_configs/DragonFly_CustomG4.yml b/topogen_configs/DragonFly_CustomG4.yml index eed36b4..e3a6212 100644 --- a/topogen_configs/DragonFly_CustomG4.yml +++ b/topogen_configs/DragonFly_CustomG4.yml @@ -1,7 +1,4 @@ output: - scenario_metadata: - title: "US Backbone, DragonFly_CustomG4" - formatting: json_indent: 2 yaml_anchors: true @@ -56,7 +53,6 @@ build: alpha_dc_to_pop: 1.1 beta_intra_pop: 0.8 flow_placement: EQUAL_BALANCED - edge_select: ALL_MIN_COST respect_min_base_capacity: true components: @@ -64,15 +60,18 @@ components: core: CoreRouter leaf: LeafRouter spine: SpineRouter - dc: {} + dc: "" optics: - core|core: 800G-ZR+ - leaf|leaf: 800G-ZR+ - core|leaf: 800G-ZR+ - leaf|dc: 800G-ZR+ - core|dc: 800G-ZR+ - leaf|spine: 800G-DR4 - spine|leaf: 1600G-2xDR4 + core->core: 800G-ZR+ + leaf->leaf: 800G-ZR+ + core->leaf: 800G-ZR+ + leaf->core: 800G-ZR+ + leaf->dc: 800G-ZR+ + core->dc: 800G-ZR+ + dc->core: 800G-ZR+ + dc->leaf: 800G-ZR+ + leaf->spine: 800G-DR4 + spine->leaf: 1600G-2xDR4 failure_policies: assignments: @@ -125,26 +124,26 @@ clustering: export_integrated_graph: true override_metro_clusters: - - "Denver" # Bridge Plains to Rockies via I-70/I-25 hub - - "Minneapolis" # Bridge Upper Midwest to Plains via I-94/I-35 hub - - "Salt Lake City" # Bridge CA to Rockies via I-80/I-15 hub - - "Las Vegas" # Bridge CA to Rockies via I-15 corridor - - "Phoenix" # Bridge CA to Southwest via I-10 corridor - - "Atlanta" # Bridge FL to Southeast via I-75/I-85 hub - - "Portland" # Bridge WA to CA via I-5 corridor - - "Omaha" # Bridge Upper Plains to Rockies via I-80/I-29 hub - - "Boise" # Bridge PNW to Rockies via I-84/I-15 hub - - "Albuquerque" # Bridge CA to TX via I-40/I-25 hub - - "New Orleans" # Bridge TX to Southeast via I-10/I-55 hub - - "Buffalo" # Bridge Northeast to Midwest via I-90/I-79 corridor - - "Chicago" # Bridge Great Lakes to Plains via I-90/I-55 hub - - "Dallas" # Bridge Plains to Gulf via I-35/I-20 hub - - "Kansas City" # Bridge Plains to Midwest via I-70/I-35 hub - - "St. Louis" # Bridge Midwest to South via I-70/I-55 hub - - "Charlotte" # Bridge Southeast to Northeast via I-85/I-77 hub - - "Nashville" # Bridge South to Midwest via I-40/I-65 hub - - "Pittsburgh" # Bridge Northeast to Midwest via I-76/I-79 hub - - "Sacramento" # Bridge Northern CA to Rockies via I-80 corridor + - "Denver" + - "Minneapolis" + - "Salt Lake City" + - "Las Vegas" + - "Phoenix" + - "Atlanta" + - "Portland" + - "Omaha" + - "Boise" + - "Albuquerque" + - "New Orleans" + - "Buffalo" + - "Chicago" + - "Dallas" + - "Kansas City" + - "St. Louis" + - "Charlotte" + - "Nashville" + - "Pittsburgh" + - "Sacramento" coordinate_precision: 1 area_precision: 2 @@ -153,9 +152,7 @@ highway_processing: min_edge_length_km: 0.0 snap_precision_m: 150.0 highway_classes: ["S1100"] - min_cycle_nodes: 3 filter_largest_component: true - validation_sample_size: 5 corridors: k_paths: 1 diff --git a/topogen_configs/Dragonfly_A3H2G7.yml b/topogen_configs/Dragonfly_A3H2G7.yml index c723115..e2c39ca 100644 --- a/topogen_configs/Dragonfly_A3H2G7.yml +++ b/topogen_configs/Dragonfly_A3H2G7.yml @@ -1,7 +1,4 @@ output: - scenario_metadata: - title: "US Backbone, Dragonfly_A3H2G7" - formatting: json_indent: 2 yaml_anchors: true @@ -56,7 +53,6 @@ build: alpha_dc_to_pop: 1.1 beta_intra_pop: 0.8 flow_placement: EQUAL_BALANCED - edge_select: ALL_MIN_COST respect_min_base_capacity: true components: @@ -64,15 +60,18 @@ components: core: CoreRouter leaf: LeafRouter spine: SpineRouter - dc: {} + dc: "" optics: - core|core: 800G-ZR+ - leaf|leaf: 800G-ZR+ - core|leaf: 800G-ZR+ - leaf|dc: 800G-ZR+ - core|dc: 800G-ZR+ - leaf|spine: 800G-DR4 - spine|leaf: 1600G-2xDR4 + core->core: 800G-ZR+ + leaf->leaf: 800G-ZR+ + core->leaf: 800G-ZR+ + leaf->core: 800G-ZR+ + leaf->dc: 800G-ZR+ + core->dc: 800G-ZR+ + dc->core: 800G-ZR+ + dc->leaf: 800G-ZR+ + leaf->spine: 800G-DR4 + spine->leaf: 1600G-2xDR4 failure_policies: assignments: @@ -125,26 +124,26 @@ clustering: export_integrated_graph: true override_metro_clusters: - - "Denver" # Bridge Plains to Rockies via I-70/I-25 hub - - "Minneapolis" # Bridge Upper Midwest to Plains via I-94/I-35 hub - - "Salt Lake City" # Bridge CA to Rockies via I-80/I-15 hub - - "Las Vegas" # Bridge CA to Rockies via I-15 corridor - - "Phoenix" # Bridge CA to Southwest via I-10 corridor - - "Atlanta" # Bridge FL to Southeast via I-75/I-85 hub - - "Portland" # Bridge WA to CA via I-5 corridor - - "Omaha" # Bridge Upper Plains to Rockies via I-80/I-29 hub - - "Boise" # Bridge PNW to Rockies via I-84/I-15 hub - - "Albuquerque" # Bridge CA to TX via I-40/I-25 hub - - "New Orleans" # Bridge TX to Southeast via I-10/I-55 hub - - "Buffalo" # Bridge Northeast to Midwest via I-90/I-79 corridor - - "Chicago" # Bridge Great Lakes to Plains via I-90/I-55 hub - - "Dallas" # Bridge Plains to Gulf via I-35/I-20 hub - - "Kansas City" # Bridge Plains to Midwest via I-70/I-35 hub - - "St. Louis" # Bridge Midwest to South via I-70/I-55 hub - - "Charlotte" # Bridge Southeast to Northeast via I-85/I-77 hub - - "Nashville" # Bridge South to Midwest via I-40/I-65 hub - - "Pittsburgh" # Bridge Northeast to Midwest via I-76/I-79 hub - - "Sacramento" # Bridge Northern CA to Rockies via I-80 corridor + - "Denver" + - "Minneapolis" + - "Salt Lake City" + - "Las Vegas" + - "Phoenix" + - "Atlanta" + - "Portland" + - "Omaha" + - "Boise" + - "Albuquerque" + - "New Orleans" + - "Buffalo" + - "Chicago" + - "Dallas" + - "Kansas City" + - "St. Louis" + - "Charlotte" + - "Nashville" + - "Pittsburgh" + - "Sacramento" coordinate_precision: 1 area_precision: 2 @@ -153,9 +152,7 @@ highway_processing: min_edge_length_km: 0.0 snap_precision_m: 150.0 highway_classes: ["S1100"] - min_cycle_nodes: 3 filter_largest_component: true - validation_sample_size: 5 corridors: k_paths: 1 diff --git a/topogen_configs/baseline_SingleRouter.yml b/topogen_configs/baseline_SingleRouter.yml index fc1190b..e11f298 100644 --- a/topogen_configs/baseline_SingleRouter.yml +++ b/topogen_configs/baseline_SingleRouter.yml @@ -1,7 +1,4 @@ output: - scenario_metadata: - title: "US Backbone, Baseline" - formatting: json_indent: 2 yaml_anchors: true @@ -56,7 +53,6 @@ build: alpha_dc_to_pop: 1.1 beta_intra_pop: 0.8 flow_placement: EQUAL_BALANCED - edge_select: ALL_MIN_COST respect_min_base_capacity: true components: @@ -64,15 +60,18 @@ components: core: CoreRouter leaf: LeafRouter spine: SpineRouter - dc: {} + dc: "" optics: - core|core: 800G-ZR+ - leaf|leaf: 800G-ZR+ - core|leaf: 800G-ZR+ - leaf|dc: 800G-ZR+ - core|dc: 800G-ZR+ - leaf|spine: 800G-DR4 - spine|leaf: 1600G-2xDR4 + core->core: 800G-ZR+ + leaf->leaf: 800G-ZR+ + core->leaf: 800G-ZR+ + leaf->core: 800G-ZR+ + leaf->dc: 800G-ZR+ + core->dc: 800G-ZR+ + dc->core: 800G-ZR+ + dc->leaf: 800G-ZR+ + leaf->spine: 800G-DR4 + spine->leaf: 1600G-2xDR4 failure_policies: assignments: @@ -125,26 +124,26 @@ clustering: export_integrated_graph: true override_metro_clusters: - - "Denver" # Bridge Plains to Rockies via I-70/I-25 hub - - "Minneapolis" # Bridge Upper Midwest to Plains via I-94/I-35 hub - - "Salt Lake City" # Bridge CA to Rockies via I-80/I-15 hub - - "Las Vegas" # Bridge CA to Rockies via I-15 corridor - - "Phoenix" # Bridge CA to Southwest via I-10 corridor - - "Atlanta" # Bridge FL to Southeast via I-75/I-85 hub - - "Portland" # Bridge WA to CA via I-5 corridor - - "Omaha" # Bridge Upper Plains to Rockies via I-80/I-29 hub - - "Boise" # Bridge PNW to Rockies via I-84/I-15 hub - - "Albuquerque" # Bridge CA to TX via I-40/I-25 hub - - "New Orleans" # Bridge TX to Southeast via I-10/I-55 hub - - "Buffalo" # Bridge Northeast to Midwest via I-90/I-79 corridor - - "Chicago" # Bridge Great Lakes to Plains via I-90/I-55 hub - - "Dallas" # Bridge Plains to Gulf via I-35/I-20 hub - - "Kansas City" # Bridge Plains to Midwest via I-70/I-35 hub - - "St. Louis" # Bridge Midwest to South via I-70/I-55 hub - - "Charlotte" # Bridge Southeast to Northeast via I-85/I-77 hub - - "Nashville" # Bridge South to Midwest via I-40/I-65 hub - - "Pittsburgh" # Bridge Northeast to Midwest via I-76/I-79 hub - - "Sacramento" # Bridge Northern CA to Rockies via I-80 corridor + - "Denver" + - "Minneapolis" + - "Salt Lake City" + - "Las Vegas" + - "Phoenix" + - "Atlanta" + - "Portland" + - "Omaha" + - "Boise" + - "Albuquerque" + - "New Orleans" + - "Buffalo" + - "Chicago" + - "Dallas" + - "Kansas City" + - "St. Louis" + - "Charlotte" + - "Nashville" + - "Pittsburgh" + - "Sacramento" coordinate_precision: 1 area_precision: 2 @@ -153,9 +152,7 @@ highway_processing: min_edge_length_km: 0.0 snap_precision_m: 150.0 highway_classes: ["S1100"] - min_cycle_nodes: 3 filter_largest_component: true - validation_sample_size: 5 corridors: k_paths: 1 diff --git a/topogen_configs_small/small_baseline.yml b/topogen_configs_small/small_baseline.yml index 5080afc..94d1339 100644 --- a/topogen_configs_small/small_baseline.yml +++ b/topogen_configs_small/small_baseline.yml @@ -1,7 +1,4 @@ output: - scenario_metadata: - title: "Small Test: East Coast, Baseline" - formatting: json_indent: 2 yaml_anchors: true @@ -44,7 +41,6 @@ build: alpha_dc_to_pop: 1.2 beta_intra_pop: 0.8 flow_placement: EQUAL_BALANCED - edge_select: ALL_MIN_COST respect_min_base_capacity: true components: @@ -52,15 +48,18 @@ components: core: CoreRouter leaf: LeafRouter spine: SpineRouter - dc: {} + dc: "" optics: - core|core: 800G-ZR+ - leaf|leaf: 800G-ZR+ - core|leaf: 800G-ZR+ - leaf|dc: 800G-ZR+ - core|dc: 800G-ZR+ - leaf|spine: 800G-DR4 - spine|leaf: 1600G-2xDR4 + core->core: 800G-ZR+ + leaf->leaf: 800G-ZR+ + core->leaf: 800G-ZR+ + leaf->core: 800G-ZR+ + leaf->dc: 800G-ZR+ + core->dc: 800G-ZR+ + dc->core: 800G-ZR+ + dc->leaf: 800G-ZR+ + leaf->spine: 800G-DR4 + spine->leaf: 1600G-2xDR4 failure_policies: assignments: @@ -126,9 +125,7 @@ highway_processing: min_edge_length_km: 0.0 snap_precision_m: 150.0 highway_classes: ["S1100"] - min_cycle_nodes: 3 filter_largest_component: true - validation_sample_size: 5 corridors: k_paths: 1 diff --git a/topogen_configs_small/small_clos.yml b/topogen_configs_small/small_clos.yml index e450270..afe8689 100644 --- a/topogen_configs_small/small_clos.yml +++ b/topogen_configs_small/small_clos.yml @@ -1,7 +1,4 @@ output: - scenario_metadata: - title: "Small Test: East Coast, Clos_L16_S4" - formatting: json_indent: 2 yaml_anchors: true @@ -44,7 +41,6 @@ build: alpha_dc_to_pop: 1.2 beta_intra_pop: 0.8 flow_placement: EQUAL_BALANCED - edge_select: ALL_MIN_COST respect_min_base_capacity: true components: @@ -52,15 +48,18 @@ components: core: CoreRouter leaf: LeafRouter spine: SpineRouter - dc: {} + dc: "" optics: - core|core: 800G-ZR+ - leaf|leaf: 800G-ZR+ - core|leaf: 800G-ZR+ - leaf|dc: 800G-ZR+ - core|dc: 800G-ZR+ - leaf|spine: 800G-DR4 - spine|leaf: 1600G-2xDR4 + core->core: 800G-ZR+ + leaf->leaf: 800G-ZR+ + core->leaf: 800G-ZR+ + leaf->core: 800G-ZR+ + leaf->dc: 800G-ZR+ + core->dc: 800G-ZR+ + dc->core: 800G-ZR+ + dc->leaf: 800G-ZR+ + leaf->spine: 800G-DR4 + spine->leaf: 1600G-2xDR4 failure_policies: assignments: @@ -126,9 +125,7 @@ highway_processing: min_edge_length_km: 0.0 snap_precision_m: 150.0 highway_classes: ["S1100"] - min_cycle_nodes: 3 filter_largest_component: true - validation_sample_size: 5 corridors: k_paths: 1 diff --git a/topogen_configs_small/small_dragonfly.yml b/topogen_configs_small/small_dragonfly.yml index e46310f..11c119a 100644 --- a/topogen_configs_small/small_dragonfly.yml +++ b/topogen_configs_small/small_dragonfly.yml @@ -1,7 +1,4 @@ output: - scenario_metadata: - title: "Small Test: East Coast, Dragonfly_A3H2G7" - formatting: json_indent: 2 yaml_anchors: true @@ -44,7 +41,6 @@ build: alpha_dc_to_pop: 1.2 beta_intra_pop: 0.8 flow_placement: EQUAL_BALANCED - edge_select: ALL_MIN_COST respect_min_base_capacity: true components: @@ -52,15 +48,18 @@ components: core: CoreRouter leaf: LeafRouter spine: SpineRouter - dc: {} + dc: "" optics: - core|core: 800G-ZR+ - leaf|leaf: 800G-ZR+ - core|leaf: 800G-ZR+ - leaf|dc: 800G-ZR+ - core|dc: 800G-ZR+ - leaf|spine: 800G-DR4 - spine|leaf: 1600G-2xDR4 + core->core: 800G-ZR+ + leaf->leaf: 800G-ZR+ + core->leaf: 800G-ZR+ + leaf->core: 800G-ZR+ + leaf->dc: 800G-ZR+ + core->dc: 800G-ZR+ + dc->core: 800G-ZR+ + dc->leaf: 800G-ZR+ + leaf->spine: 800G-DR4 + spine->leaf: 1600G-2xDR4 failure_policies: assignments: @@ -126,9 +125,7 @@ highway_processing: min_edge_length_km: 0.0 snap_precision_m: 150.0 highway_classes: ["S1100"] - min_cycle_nodes: 3 filter_largest_component: true - validation_sample_size: 5 corridors: k_paths: 1 diff --git a/topogen_configs_small/small_dragonfly_custom.yml b/topogen_configs_small/small_dragonfly_custom.yml index e394c88..aade2f8 100644 --- a/topogen_configs_small/small_dragonfly_custom.yml +++ b/topogen_configs_small/small_dragonfly_custom.yml @@ -1,7 +1,4 @@ output: - scenario_metadata: - title: "Small Test: East Coast, DragonFly_CustomG4" - formatting: json_indent: 2 yaml_anchors: true @@ -44,7 +41,6 @@ build: alpha_dc_to_pop: 1.2 beta_intra_pop: 0.8 flow_placement: EQUAL_BALANCED - edge_select: ALL_MIN_COST respect_min_base_capacity: true components: @@ -52,15 +48,18 @@ components: core: CoreRouter leaf: LeafRouter spine: SpineRouter - dc: {} + dc: "" optics: - core|core: 800G-ZR+ - leaf|leaf: 800G-ZR+ - core|leaf: 800G-ZR+ - leaf|dc: 800G-ZR+ - core|dc: 800G-ZR+ - leaf|spine: 800G-DR4 - spine|leaf: 1600G-2xDR4 + core->core: 800G-ZR+ + leaf->leaf: 800G-ZR+ + core->leaf: 800G-ZR+ + leaf->core: 800G-ZR+ + leaf->dc: 800G-ZR+ + core->dc: 800G-ZR+ + dc->core: 800G-ZR+ + dc->leaf: 800G-ZR+ + leaf->spine: 800G-DR4 + spine->leaf: 1600G-2xDR4 failure_policies: assignments: @@ -126,9 +125,7 @@ highway_processing: min_edge_length_km: 0.0 snap_precision_m: 150.0 highway_classes: ["S1100"] - min_cycle_nodes: 3 filter_largest_component: true - validation_sample_size: 5 corridors: k_paths: 1 From 3cfaf0b78a729d142630a9bed505b2299f862f16 Mon Sep 17 00:00:00 2001 From: Andrey Golovanov Date: Sun, 4 Oct 2026 15:11:17 -0700 Subject: [PATCH 2/2] Make BAC totals consistent across Python versions --- netlab/metrics/bac.py | 5 +++-- tests/metrics/test_numerical_verification.py | 16 ++++++++++++++++ 2 files changed, 19 insertions(+), 2 deletions(-) diff --git a/netlab/metrics/bac.py b/netlab/metrics/bac.py index b44c1e7..68f9054 100644 --- a/netlab/metrics/bac.py +++ b/netlab/metrics/bac.py @@ -2,6 +2,7 @@ from collections import Counter from dataclasses import dataclass, field +from math import fsum from pathlib import Path from typing import Dict, List, Optional, Tuple @@ -70,8 +71,8 @@ def _detect_mode(results: dict, step_name: str, mode: str) -> str: def _sum_delivered(iteration: dict) -> float: - """Sum placed bandwidth across all flows in one iteration result.""" - return sum(pair_totals(iteration, "placed").values()) + """Sum placed bandwidth consistently across Python versions.""" + return fsum(pair_totals(iteration, "placed").values()) _QUANTILE_PROBS = (0.50, 0.90, 0.95, 0.99, 0.999, 0.9999) diff --git a/tests/metrics/test_numerical_verification.py b/tests/metrics/test_numerical_verification.py index 23e13a7..b5160fc 100644 --- a/tests/metrics/test_numerical_verification.py +++ b/tests/metrics/test_numerical_verification.py @@ -79,6 +79,22 @@ def test_bandwidth_replicating_empirical_distribution_is_invariant(): assert one == repeat +def test_bandwidth_totals_preserve_small_flows_in_any_order(): + flows = [record(f"a/{i}", value) for i, value in enumerate([1e16, 1.0, 1.0])] + results = payload([]) + data = results["steps"]["tm_placement"]["data"] + data["baseline"] = {"flows": flows} + data["flow_results"] = [{"occurrence_count": 1, "flows": flows[::-1]}] + + bac = compute_bac(results, "tm_placement") + expected = 10_000_000_000_000_002.0 + assert bac.offered == expected + assert bac.series.tolist() == [expected, expected] + thresholds, availability = availability_curve(bac.series.to_numpy() / bac.offered) + assert thresholds.tolist() == [1.0] + assert availability.tolist() == [1.0] + + def test_sps_probability_matches_counting_oracle(): result = compute_sps(payload(range(10))) assert result.sps_at_probability[90] == pytest.approx(1 / 9)