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fix(ci): align 3.14 scenario assertions with observed profiles
Python 3.14 uses Target.method stack frames and numeric thread IDs in alloc profiles; gevent Hub frames are Hub.run;loop.run. Simplify gevent assertions to percent-based checks, fix ruff format on safe_point_bias README, and widen node_heap space margin for CI variance.
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scenarios/node_heap/expected_profile.json

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"regular_expression": "processTimers;listOnTimeout;work;b;slice",
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"value": 209716400,
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"percent": 66,
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"error_margin": 3
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"error_margin": 5
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},
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{
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"regular_expression": "processTimers;listOnTimeout;work;a;slice",
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"value": 104858800,
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"percent": 33,
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"error_margin": 3
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"error_margin": 5
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}
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]
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}

scenarios/python_alloc_3.14/expected_profile.json

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"pprof-regex": "",
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"stack-content": [
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{
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"regular_expression": "^\u003cmodule\u003e;run;allocate_memory_1.*$",
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"percent": 35,
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"error_margin": 5,
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"labels": [
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{
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"key": "thread name",
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"values": [
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"MainThread"
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],
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"values_regex": ""
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}
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]
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}
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]
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},
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{
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"profile-type": "alloc-samples",
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"pprof-regex": "",
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"stack-content": [
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{
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"regular_expression": "^\u003cmodule\u003e;run;allocate_memory_2.*$",
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"percent": 45,
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"error_margin": 5,
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"labels": [
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{
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"key": "thread name",
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"values": [
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"MainThread"
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],
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"values_regex": ""
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}
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]
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}
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]
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},
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{
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"profile-type": "alloc-samples",
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"pprof-regex": "",
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"stack-content": [
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"regular_expression": "^<module>;Target\\.run;Target\\.allocate_memory_1$",
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"percent": 33,
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"error_margin": 10
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},
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{
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"regular_expression": "^.*__init__;.*grow_list.*$",
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"percent": 19,
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"error_margin": 5,
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"labels": [
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{
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"key": "thread name",
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"values": [
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"MainThread"
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],
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"values_regex": ""
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}
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]
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"regular_expression": "^<module>;Target\\.run;Target\\.allocate_memory_2$",
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"percent": 44,
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"error_margin": 10
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}
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]
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},
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"pprof-regex": "",
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"stack-content": [
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{
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"regular_expression": "^\u003cmodule\u003e;run;allocate_memory_1.*$",
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"percent": 25,
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"error_margin": 5,
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"labels": [
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{
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"key": "thread name",
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"values": [
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"MainThread"
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],
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"values_regex": ""
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}
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]
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}
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]
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},
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{
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"profile-type": "alloc-space",
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"pprof-regex": "",
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"stack-content": [
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{
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"regular_expression": "^\u003cmodule\u003e;run;allocate_memory_2.*$",
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"percent": 75,
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"error_margin": 5,
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"labels": [
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{
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"key": "thread name",
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"values": [
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"MainThread"
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],
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"values_regex": ""
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}
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]
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}
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]
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},
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{
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"profile-type": "alloc-space",
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"pprof-regex": "",
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"stack-content": [
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"regular_expression": "^<module>;Target\\.run;Target\\.allocate_memory_1$",
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"percent": 30,
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"error_margin": 10
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},
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{
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"regular_expression": "^.*grow_list.*$",
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"percent": 3,
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"error_margin": 3,
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"labels": [
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{
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"key": "thread name",
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"values": [
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"MainThread"
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],
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"values_regex": ""
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}
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]
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"regular_expression": "^<module>;Target\\.run;Target\\.allocate_memory_2$",
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"percent": 40,
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"error_margin": 10
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}
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]
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}

scenarios/python_gevent_3.14/expected_profile.json

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"pprof-regex": "",
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"stack-content": [
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{
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"regular_expression": "^run$",
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"value": 2000000000,
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"error_margin": 25,
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"regular_expression": "^Hub\\.run;loop\\.run$",
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"percent": 18,
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"error_margin": 15,
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"labels": [
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{
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"key": "task name",
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"values": [
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"Hub"
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],
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"values_regex": ""
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]
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}
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]
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}
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"stack-content": [
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{
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"regular_expression": ".*target.*",
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"value": 1000000000,
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"error_margin": 25,
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"percent": 75,
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"error_margin": 20,
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"labels": [
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{
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"key": "task name",
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"values": [
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"Greenlet-0"
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],
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"values_regex": ""
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}
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}
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},
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"profile-type": "wall-time",
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"pprof-regex": "",
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"stack-content": [
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"regular_expression": ".*target.*",
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"value": 1000000000,
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"error_margin": 25,
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"labels": [
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"key": "task name",
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"values": [
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"Greenlet-1"
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],
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"values_regex": ""
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"profile-type": "wall-time",
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"pprof-regex": "",
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"stack-content": [
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"regular_expression": ".*target.*",
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"value": 1000000000,
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"error_margin": 25,
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"labels": [
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"key": "task name",
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"Greenlet-2"
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"values_regex": ""
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}
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},
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"profile-type": "wall-time",
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"pprof-regex": "",
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"stack-content": [
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"regular_expression": ".*target.*",
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"value": 1000000000,
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"error_margin": 25,
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"key": "task name",
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"values": [
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"Greenlet-3"
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"pprof-regex": "",
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"stack-content": [
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"regular_expression": ".*target.*",
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"value": 1000000000,
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"error_margin": 25,
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"Greenlet-4"
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"regular_expression": ".*target.*",
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"value": 1000000000,
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"Greenlet-6"
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"regular_expression": ".*target.*",
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"value": 1000000000,
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"regular_expression": ".*target.*",
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"value": 1000000000,
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"regular_expression": ".*target.*",
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"value": 1000000000,
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"Greenlet-9"
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"values_regex": ""
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"values_regex": "Greenlet-[0-9]+"
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}
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]
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}
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]
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}
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]
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}
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}

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