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github-action-benchmark
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add Benchmark (pytest) benchmark result for 6a92f24
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dev/bench/data.js

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window.BENCHMARK_DATA = {
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"lastUpdate": 1775580005476,
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"lastUpdate": 1775580283871,
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"repoUrl": "https://github.com/AzureAD/microsoft-authentication-library-for-python",
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"entries": {
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"Benchmark": [
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"extra": "mean: 136.0746031098732 usec\nrounds: 3923"
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}
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]
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},
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{
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"commit": {
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"author": {
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"email": "83938949+ashok672@users.noreply.github.com",
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"name": "Ashok Kumar Ramakrishnan",
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"username": "ashok672"
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},
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"committer": {
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"email": "noreply@github.com",
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"name": "GitHub",
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"username": "web-flow"
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},
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"distinct": true,
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"id": "6a92f2498d221c673d6e725e7f99d958bd189c5a",
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"message": "Use cryptographically secure randomness for PKCE, state, and nonce generation (#894)\n\n* Use cryptographically secure randomness for PKCE, state, and nonce generation\n\n* Update tests/test_oidc.py\n\nCo-authored-by: Copilot <175728472+Copilot@users.noreply.github.com>\n\n* Update tests/test_oidc.py\n\nCo-authored-by: Copilot <175728472+Copilot@users.noreply.github.com>\n\n* Update msal/oauth2cli/oidc.py\n\nCo-authored-by: Copilot <175728472+Copilot@users.noreply.github.com>\n\n* Address PR review feedback: remove unused imports, simplify loop, add response_mode\n\nAgent-Logs-Url: https://github.com/AzureAD/microsoft-authentication-library-for-python/sessions/20f5cbfd-04ca-45f5-8c71-f8df1d00a01e\n\nCo-authored-by: ashok672 <83938949+ashok672@users.noreply.github.com>\n\n---------\n\nCo-authored-by: Copilot <175728472+Copilot@users.noreply.github.com>\nCo-authored-by: copilot-swe-agent[bot] <198982749+Copilot@users.noreply.github.com>",
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"timestamp": "2026-04-07T09:41:23-07:00",
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"tree_id": "b40e9661e2e164bb5b04adf94486c5ae164d8dd0",
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"url": "https://github.com/AzureAD/microsoft-authentication-library-for-python/commit/6a92f2498d221c673d6e725e7f99d958bd189c5a"
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},
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"date": 1775580282439,
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"tool": "pytest",
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"benches": [
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{
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"name": "tests/test_benchmark.py::test_cca_1_tenant_with_10_tokens_per_tenant_and_cache_hit",
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"value": 37672.39409664657,
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"unit": "iter/sec",
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"range": "stddev: 0.0000030904900757461907",
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"extra": "mean: 26.544636304094507 usec\nrounds: 15249"
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},
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{
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"name": "tests/test_benchmark.py::test_cca_many_tenants_with_10_tokens_per_tenant_and_cache_hit",
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"value": 36833.15832564503,
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"unit": "iter/sec",
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"range": "stddev: 0.000003609112905602392",
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"extra": "mean: 27.14945026323609 usec\nrounds: 14245"
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},
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{
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"name": "tests/test_benchmark.py::test_cca_1_tenant_with_10_tokens_per_tenant_and_cache_miss",
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"value": 7399.020548754206,
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"unit": "iter/sec",
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"range": "stddev: 0.00001643995865060737",
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"extra": "mean: 135.1530237564177 usec\nrounds: 3578"
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},
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{
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"name": "tests/test_benchmark.py::test_cca_many_tenants_with_10_tokens_per_tenant_and_cache_miss",
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"value": 7378.991782976649,
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"unit": "iter/sec",
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"range": "stddev: 0.000015625970281261018",
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"extra": "mean: 135.5198690296691 usec\nrounds: 3978"
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}
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]
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}
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]
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}

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