2025-03-04T19:47:16.9318519Z Current runner version: '2.322.0'
2025-03-04T19:47:16.9345656Z ##[group]Operating System
2025-03-04T19:47:16.9346644Z Ubuntu
2025-03-04T19:47:16.9347248Z 24.04.2
2025-03-04T19:47:16.9347771Z LTS
2025-03-04T19:47:16.9348220Z ##[endgroup]
2025-03-04T19:47:16.9348821Z ##[group]Runner Image
2025-03-04T19:47:16.9349684Z Image: ubuntu-24.04
2025-03-04T19:47:16.9350282Z Version: 20250223.1.0
2025-03-04T19:47:16.9351427Z Included Software: https://github.com/actions/runner-images/blob/ubuntu24/20250223.1/images/ubuntu/Ubuntu2404-Readme.md
2025-03-04T19:47:16.9352806Z Image Release: https://github.com/actions/runner-images/releases/tag/ubuntu24%2F20250223.1
2025-03-04T19:47:16.9353660Z ##[endgroup]
2025-03-04T19:47:16.9354281Z ##[group]Runner Image Provisioner
2025-03-04T19:47:16.9354888Z 2.0.422.1
2025-03-04T19:47:16.9355418Z ##[endgroup]
2025-03-04T19:47:16.9356469Z ##[group]GITHUB_TOKEN Permissions
2025-03-04T19:47:16.9358448Z Contents: read
2025-03-04T19:47:16.9359141Z Metadata: read
2025-03-04T19:47:16.9360036Z ##[endgroup]
2025-03-04T19:47:16.9362978Z Secret source: Actions
2025-03-04T19:47:16.9364030Z Prepare workflow directory
2025-03-04T19:47:16.9867898Z Prepare all required actions
2025-03-04T19:47:16.9922960Z Uses: pytorch/pytorch/.github/workflows/_runner-determinator.yml@refs/heads/main (92beda54c8707d476ea8bc193ce79a37653d2e49)
2025-03-04T19:47:16.9928170Z ##[group] Inputs
2025-03-04T19:47:16.9928764Z   check_experiments: 
2025-03-04T19:47:16.9929774Z   triggering_actor: pytorch-bot[bot]
2025-03-04T19:47:16.9930450Z   issue_owner: 
2025-03-04T19:47:16.9931056Z   curr_branch: ciflow/inductor/148205
2025-03-04T19:47:16.9931794Z   curr_ref_type: tag
2025-03-04T19:47:16.9932322Z   issue_number: 5132
2025-03-04T19:47:16.9932923Z ##[endgroup]
2025-03-04T19:47:16.9933577Z Complete job name: get-label-type / runner-determinator
2025-03-04T19:47:17.6705239Z ##[group]Run cat <<EOF > runner_determinator.py
2025-03-04T19:47:17.6706874Z cat <<EOF > runner_determinator.py
2025-03-04T19:47:17.6707444Z # flake8: noqa: G004
2025-03-04T19:47:17.6707930Z 
2025-03-04T19:47:17.6708576Z # Note: Copies of this script in runner_determinator.py and _runner-determinator.yml
2025-03-04T19:47:17.6709753Z #       must be kept in sync. You can do it easily by running the following command:
2025-03-04T19:47:17.6710582Z #           python .github/scripts/update_runner_determinator.py
2025-03-04T19:47:17.6711207Z 
2025-03-04T19:47:17.6711568Z """
2025-03-04T19:47:17.6712189Z This runner determinator is used to determine which set of runners to run a
2025-03-04T19:47:17.6713107Z GitHub job on. It uses the first comment of a GitHub issue (by default
2025-03-04T19:47:17.6714098Z https://github.com/pytorch/test-infra/issues/5132) to define the configuration
2025-03-04T19:47:17.6714983Z of which runners should be used to run which job.
2025-03-04T19:47:17.6715562Z 
2025-03-04T19:47:17.6716181Z The configuration has two parts, the settings and a list of opted-in users,
2025-03-04T19:47:17.6717121Z separated by a line containing "---".  If the line is not present, the
2025-03-04T19:47:17.6718164Z settings are considered to be empty with only the second part, the user
2025-03-04T19:47:17.6718918Z list, defined.
2025-03-04T19:47:17.6719495Z 
2025-03-04T19:47:17.6720140Z The first part is a YAML block that defines the rollout settings. This can be
2025-03-04T19:47:17.6721094Z used to define any settings that are needed to determine which runners to use.
2025-03-04T19:47:17.6721981Z It's fields are defined by the RolloutSettings class below.
2025-03-04T19:47:17.6722609Z 
2025-03-04T19:47:17.6723205Z The second part is a list of users who are explicitly opted in to the LF fleet.
2025-03-04T19:47:17.6724114Z The user list is also a comma separated list of additional features or
2025-03-04T19:47:17.6725152Z experiments which the user could be opted in to.
2025-03-04T19:47:17.6725737Z 
2025-03-04T19:47:17.6726169Z The user list has the following rules:
2025-03-04T19:47:17.6726707Z 
2025-03-04T19:47:17.6727313Z - Users are GitHub usernames, which must start with the @ prefix
2025-03-04T19:47:17.6728208Z - Each user is also a comma-separated list of features/experiments to enable
2025-03-04T19:47:17.6729023Z - A "#" prefix opts the user out of all experiments
2025-03-04T19:47:17.6729855Z 
2025-03-04T19:47:17.6730343Z Example config:
2025-03-04T19:47:17.6730881Z     # A list of experiments that can be opted into.
2025-03-04T19:47:17.6731595Z     # This defines the behavior they'll induce when opted into.
2025-03-04T19:47:17.6732255Z     # Expected syntax is:
2025-03-04T19:47:17.6732962Z     #   [experiment_name]: # Name of the experiment. Also used for the label prefix.
2025-03-04T19:47:17.6733974Z     #      rollout_perc: [int] # % of workflows to run with this experiment when users are not opted in.
2025-03-04T19:47:17.6734740Z 
2025-03-04T19:47:17.6735115Z     experiments:
2025-03-04T19:47:17.6735552Z       lf:
2025-03-04T19:47:17.6735973Z         rollout_percent: 25
2025-03-04T19:47:17.6736475Z         all_branches: false
2025-03-04T19:47:17.6736990Z         default: true
2025-03-04T19:47:17.6737454Z     ---
2025-03-04T19:47:17.6737859Z 
2025-03-04T19:47:17.6738231Z     # Opt-ins:
2025-03-04T19:47:17.6738883Z     # Users can opt into the LF fleet by adding their GitHub username to this list
2025-03-04T19:47:17.6740113Z     # and specifying experiments to enable in a comma-separated list.
2025-03-04T19:47:17.6740951Z     # To always opt out of an experiment, prefix it with a "-".
2025-03-04T19:47:17.6741675Z     # Experiments should be from the above list.
2025-03-04T19:47:17.6742242Z 
2025-03-04T19:47:17.6742626Z     @User1,-lf,split_build
2025-03-04T19:47:17.6743120Z     @User2,lf
2025-03-04T19:47:17.6743570Z     @User3,split_build
2025-03-04T19:47:17.6744035Z """
2025-03-04T19:47:17.6744419Z 
2025-03-04T19:47:17.6744784Z import json
2025-03-04T19:47:17.6745208Z import logging
2025-03-04T19:47:17.6745638Z import os
2025-03-04T19:47:17.6746047Z import random
2025-03-04T19:47:17.6746479Z import re
2025-03-04T19:47:17.6746885Z import sys
2025-03-04T19:47:17.6747356Z from argparse import ArgumentParser
2025-03-04T19:47:17.6747951Z from collections.abc import Iterable
2025-03-04T19:47:17.6748522Z from functools import cache
2025-03-04T19:47:17.6749046Z from logging import LogRecord
2025-03-04T19:47:17.6749742Z from typing import Any, NamedTuple
2025-03-04T19:47:17.6750359Z from urllib.request import Request, urlopen
2025-03-04T19:47:17.6750920Z 
2025-03-04T19:47:17.6751297Z import yaml
2025-03-04T19:47:17.6751746Z from github import Auth, Github
2025-03-04T19:47:17.6752293Z from github.Issue import Issue
2025-03-04T19:47:17.6752791Z 
2025-03-04T19:47:17.6753155Z 
2025-03-04T19:47:17.6753611Z DEFAULT_LABEL_PREFIX = ""  # use meta runners
2025-03-04T19:47:17.6754353Z WORKFLOW_LABEL_LF = "lf."  # use runners from the linux foundation
2025-03-04T19:47:17.6755259Z WORKFLOW_LABEL_LF_CANARY = "lf.c."  # use canary runners from the linux foundation
2025-03-04T19:47:17.6755980Z 
2025-03-04T19:47:17.6756441Z GITHUB_OUTPUT = os.getenv("GITHUB_OUTPUT", "")
2025-03-04T19:47:17.6757060Z GH_OUTPUT_KEY_AMI = "runner-ami"
2025-03-04T19:47:17.6757635Z GH_OUTPUT_KEY_LABEL_TYPE = "label-type"
2025-03-04T19:47:17.6758416Z OPT_OUT_LABEL = "no-runner-experiments"
2025-03-04T19:47:17.6758957Z 
2025-03-04T19:47:17.6759486Z SETTING_EXPERIMENTS = "experiments"
2025-03-04T19:47:17.6760020Z 
2025-03-04T19:47:17.6760416Z LF_FLEET_EXPERIMENT = "lf"
2025-03-04T19:47:17.6760939Z CANARY_FLEET_SUFFIX = ".c"
2025-03-04T19:47:17.6761416Z 
2025-03-04T19:47:17.6761779Z 
2025-03-04T19:47:17.6762174Z class Experiment(NamedTuple):
2025-03-04T19:47:17.6762705Z     rollout_perc: float = (
2025-03-04T19:47:17.6763417Z         0  # Percentage of workflows to experiment on when user is not opted-in.
2025-03-04T19:47:17.6764126Z     )
2025-03-04T19:47:17.6764523Z     all_branches: bool = (
2025-03-04T19:47:17.6765219Z         False  # If True, the experiment is also enabled on the exception branches
2025-03-04T19:47:17.6765945Z     )
2025-03-04T19:47:17.6766352Z     default: bool = (
2025-03-04T19:47:17.6766994Z         True  # If True, the experiment is enabled by default for all queries
2025-03-04T19:47:17.6767666Z     )
2025-03-04T19:47:17.6768079Z 
2025-03-04T19:47:17.6768464Z     # Add more fields as needed
2025-03-04T19:47:17.6768967Z 
2025-03-04T19:47:17.6769426Z 
2025-03-04T19:47:17.6769824Z class Settings(NamedTuple):
2025-03-04T19:47:17.6770320Z     """
2025-03-04T19:47:17.6770841Z     Settings for the experiments that can be opted into.
2025-03-04T19:47:17.6771439Z     """
2025-03-04T19:47:17.6771823Z 
2025-03-04T19:47:17.6772255Z     experiments: dict[str, Experiment] = {}
2025-03-04T19:47:17.6772796Z 
2025-03-04T19:47:17.6773295Z 
2025-03-04T19:47:17.6773732Z class ColorFormatter(logging.Formatter):
2025-03-04T19:47:17.6774412Z     """Color codes the log messages based on the log level"""
2025-03-04T19:47:17.6775032Z 
2025-03-04T19:47:17.6775413Z     COLORS = {
2025-03-04T19:47:17.6775877Z         "WARNING": "\033[33m",  # Yellow
2025-03-04T19:47:17.6776421Z         "ERROR": "\033[31m",  # Red
2025-03-04T19:47:17.6776960Z         "CRITICAL": "\033[31m",  # Red
2025-03-04T19:47:17.6777499Z         "INFO": "\033[0m",  # Reset
2025-03-04T19:47:17.6778048Z         "DEBUG": "\033[0m",  # Reset
2025-03-04T19:47:17.6778552Z     }
2025-03-04T19:47:17.6778930Z 
2025-03-04T19:47:17.6779479Z     def format(self, record: LogRecord) -> str:
2025-03-04T19:47:17.6780277Z         log_color = self.COLORS.get(record.levelname, "\033[0m")  # Default to reset
2025-03-04T19:47:17.6781091Z         record.msg = f"{log_color}{record.msg}\033[0m"
2025-03-04T19:47:17.6781716Z         return super().format(record)
2025-03-04T19:47:17.6782265Z 
2025-03-04T19:47:17.6782626Z 
2025-03-04T19:47:17.6783033Z handler = logging.StreamHandler()
2025-03-04T19:47:17.6783805Z handler.setFormatter(ColorFormatter(fmt="%(levelname)-8s: %(message)s"))
2025-03-04T19:47:17.6784541Z 
2025-03-04T19:47:17.6785021Z log = logging.getLogger(os.path.basename(__file__))
2025-03-04T19:47:17.6785644Z log.addHandler(handler)
2025-03-04T19:47:17.6786150Z log.setLevel(logging.INFO)
2025-03-04T19:47:17.6786635Z 
2025-03-04T19:47:17.6786993Z 
2025-03-04T19:47:17.6787475Z def set_github_output(key: str, value: str) -> None:
2025-03-04T19:47:17.6788083Z     """
2025-03-04T19:47:17.6788639Z     Defines outputs of the github action that invokes this script
2025-03-04T19:47:17.6789425Z     """
2025-03-04T19:47:17.6789837Z     if not GITHUB_OUTPUT:
2025-03-04T19:47:17.6790944Z         # See https://github.blog/changelog/2022-10-11-github-actions-deprecating-save-state-and-set-output-commands/ for deprecation notice
2025-03-04T19:47:17.6792237Z         log.warning(
2025-03-04T19:47:17.6793127Z             "No env var found for GITHUB_OUTPUT, you must be running this code locally. Falling back to the deprecated print method."
2025-03-04T19:47:17.6794042Z         )
2025-03-04T19:47:17.6794520Z         print(f"::set-output name={key}::{value}")
2025-03-04T19:47:17.6795086Z         return
2025-03-04T19:47:17.6795507Z 
2025-03-04T19:47:17.6795933Z     with open(GITHUB_OUTPUT, "a") as f:
2025-03-04T19:47:17.6796539Z         log.info(f"Setting output: {key}='{value}'")
2025-03-04T19:47:17.6797147Z         f.write(f"{key}={value}\n")
2025-03-04T19:47:17.6797661Z 
2025-03-04T19:47:17.6798035Z 
2025-03-04T19:47:17.6798572Z def _str_comma_separated_to_set(value: str) -> frozenset[str]:
2025-03-04T19:47:17.6799342Z     return frozenset(
2025-03-04T19:47:17.6800025Z         filter(lambda itm: itm != "", map(str.strip, value.strip(" \n\t").split(",")))
2025-03-04T19:47:17.6800720Z     )
2025-03-04T19:47:17.6801094Z 
2025-03-04T19:47:17.6801454Z 
2025-03-04T19:47:17.6801831Z def parse_args() -> Any:
2025-03-04T19:47:17.6802455Z     parser = ArgumentParser("Get dynamic rollout settings")
2025-03-04T19:47:17.6803347Z     parser.add_argument("--github-token", type=str, required=True, help="GitHub token")
2025-03-04T19:47:17.6804134Z     parser.add_argument(
2025-03-04T19:47:17.6804651Z         "--github-issue-repo",
2025-03-04T19:47:17.6805170Z         type=str,
2025-03-04T19:47:17.6805631Z         required=False,
2025-03-04T19:47:17.6806273Z         default="pytorch/test-infra",
2025-03-04T19:47:17.6806873Z         help="GitHub repo to get the issue",
2025-03-04T19:47:17.6807411Z     )
2025-03-04T19:47:17.6807822Z     parser.add_argument(
2025-03-04T19:47:17.6808312Z         "--github-repo",
2025-03-04T19:47:17.6808804Z         type=str,
2025-03-04T19:47:17.6809386Z         required=True,
2025-03-04T19:47:17.6809919Z         help="GitHub repo where CI is running",
2025-03-04T19:47:17.6810455Z     )
2025-03-04T19:47:17.6810861Z     parser.add_argument(
2025-03-04T19:47:17.6811524Z         "--github-issue", type=int, required=True, help="GitHub issue number"
2025-03-04T19:47:17.6812194Z     )
2025-03-04T19:47:17.6812600Z     parser.add_argument(
2025-03-04T19:47:17.6813289Z         "--github-actor", type=str, required=True, help="GitHub triggering_actor"
2025-03-04T19:47:17.6813988Z     )
2025-03-04T19:47:17.6814384Z     parser.add_argument(
2025-03-04T19:47:17.6815118Z         "--github-issue-owner", type=str, required=True, help="GitHub issue owner"
2025-03-04T19:47:17.6815843Z     )
2025-03-04T19:47:17.6816258Z     parser.add_argument(
2025-03-04T19:47:17.6816967Z         "--github-branch", type=str, required=True, help="Current GitHub branch or tag"
2025-03-04T19:47:17.6817691Z     )
2025-03-04T19:47:17.6818092Z     parser.add_argument(
2025-03-04T19:47:17.6818592Z         "--github-ref-type",
2025-03-04T19:47:17.6819091Z         type=str,
2025-03-04T19:47:17.6819645Z         required=True,
2025-03-04T19:47:17.6820199Z         help="Current GitHub ref type, branch or tag",
2025-03-04T19:47:17.6820773Z     )
2025-03-04T19:47:17.6821181Z     parser.add_argument(
2025-03-04T19:47:17.6821717Z         "--eligible-experiments",
2025-03-04T19:47:17.6822280Z         type=_str_comma_separated_to_set,
2025-03-04T19:47:17.6822821Z         required=False,
2025-03-04T19:47:17.6823299Z         default="",
2025-03-04T19:47:17.6824394Z         help="comma separated list of experiments to check, if omitted all experiments marked with default=True are checked",
2025-03-04T19:47:17.6825329Z     )
2025-03-04T19:47:17.6825726Z     parser.add_argument(
2025-03-04T19:47:17.6826213Z         "--pr-number",
2025-03-04T19:47:17.6826688Z         type=str,
2025-03-04T19:47:17.6827151Z         required=False,
2025-03-04T19:47:17.6827629Z         default="",
2025-03-04T19:47:17.6828173Z         help="the optional PR number where this is run",
2025-03-04T19:47:17.6828758Z     )
2025-03-04T19:47:17.6829134Z 
2025-03-04T19:47:17.6829657Z     return parser.parse_args()
2025-03-04T19:47:17.6830165Z 
2025-03-04T19:47:17.6830529Z 
2025-03-04T19:47:17.6831152Z def get_gh_client(github_token: str) -> Github:  # type: ignore[no-any-unimported]
2025-03-04T19:47:17.6831938Z     auth = Auth.Token(github_token)
2025-03-04T19:47:17.6832489Z     return Github(auth=auth)
2025-03-04T19:47:17.6832976Z 
2025-03-04T19:47:17.6833337Z 
2025-03-04T19:47:17.6834011Z def get_issue(gh: Github, repo: str, issue_num: int) -> Issue:  # type: ignore[no-any-unimported]
2025-03-04T19:47:17.6834822Z     repo = gh.get_repo(repo)
2025-03-04T19:47:17.6835383Z     return repo.get_issue(number=issue_num)
2025-03-04T19:47:17.6835924Z 
2025-03-04T19:47:17.6836282Z 
2025-03-04T19:47:17.6836665Z def get_potential_pr_author(
2025-03-04T19:47:17.6837364Z     github_token: str, repo: str, username: str, ref_type: str, ref_name: str
2025-03-04T19:47:17.6838079Z ) -> str:
2025-03-04T19:47:17.6838803Z     # If the trigger was a new tag added by a bot, this is a ciflow case
2025-03-04T19:47:17.6839757Z     # Fetch the actual username from the original PR. The PR number is
2025-03-04T19:47:17.6840547Z     # embedded in the tag name: ciflow/<name>/<pr-number>
2025-03-04T19:47:17.6841132Z 
2025-03-04T19:47:17.6841537Z     gh = get_gh_client(github_token)
2025-03-04T19:47:17.6842061Z 
2025-03-04T19:47:17.6842556Z     if username == "pytorch-bot[bot]" and ref_type == "tag":
2025-03-04T19:47:17.6843213Z         split_tag = ref_name.split("/")
2025-03-04T19:47:17.6843752Z         if (
2025-03-04T19:47:17.6844189Z             len(split_tag) == 3
2025-03-04T19:47:17.6844728Z             and split_tag[0] == "ciflow"
2025-03-04T19:47:17.6845297Z             and split_tag[2].isnumeric()
2025-03-04T19:47:17.6845817Z         ):
2025-03-04T19:47:17.6846263Z             pr_number = split_tag[2]
2025-03-04T19:47:17.6846783Z             try:
2025-03-04T19:47:17.6847275Z                 repository = gh.get_repo(repo)
2025-03-04T19:47:17.6847930Z                 pull = repository.get_pull(number=int(pr_number))
2025-03-04T19:47:17.6848566Z             except Exception as e:
2025-03-04T19:47:17.6849125Z                 raise Exception(  # noqa: TRY002
2025-03-04T19:47:17.6849957Z                     f"issue with pull request {pr_number} from repo {repository}"
2025-03-04T19:47:17.6850613Z                 ) from e
2025-03-04T19:47:17.6851208Z             return pull.user.login  # type: ignore[no-any-return]
2025-03-04T19:47:17.6851930Z     # In all other cases, return the original input username
2025-03-04T19:47:17.6852541Z     return username
2025-03-04T19:47:17.6852976Z 
2025-03-04T19:47:17.6853322Z 
2025-03-04T19:47:17.6853764Z def is_exception_branch(branch: str) -> bool:
2025-03-04T19:47:17.6854322Z     """
2025-03-04T19:47:17.6855012Z     Branches that get opted out of experiments by default, until they're explicitly enabled.
2025-03-04T19:47:17.6855926Z     """
2025-03-04T19:47:17.6856517Z     return branch.split("/")[0] in {"main", "nightly", "release", "landchecks"}
2025-03-04T19:47:17.6857242Z 
2025-03-04T19:47:17.6857610Z 
2025-03-04T19:47:17.6858018Z def load_yaml(yaml_text: str) -> Any:
2025-03-04T19:47:17.6858530Z     try:
2025-03-04T19:47:17.6858954Z         data = yaml.safe_load(yaml_text)
2025-03-04T19:47:17.6859582Z         return data
2025-03-04T19:47:17.6860052Z     except yaml.YAMLError:
2025-03-04T19:47:17.6860604Z         log.exception("Error loading YAML")
2025-03-04T19:47:17.6861143Z         raise
2025-03-04T19:47:17.6861545Z 
2025-03-04T19:47:17.6861897Z 
2025-03-04T19:47:17.6862552Z def extract_settings_user_opt_in_from_text(rollout_state: str) -> tuple[str, str]:
2025-03-04T19:47:17.6863307Z     """
2025-03-04T19:47:17.6863972Z     Extracts the text with settings, if any, and the opted in users from the rollout state.
2025-03-04T19:47:17.6864723Z 
2025-03-04T19:47:17.6865275Z     If the issue body contains "---" then the text above that is the settings
2025-03-04T19:47:17.6866132Z     and the text below is the list of opted in users.
2025-03-04T19:47:17.6866705Z 
2025-03-04T19:47:17.6867285Z     If it doesn't contain "---" then the settings are empty and the rest is the users.
2025-03-04T19:47:17.6868025Z     """
2025-03-04T19:47:17.6868513Z     rollout_state_parts = rollout_state.split("---")
2025-03-04T19:47:17.6869128Z     if len(rollout_state_parts) >= 2:
2025-03-04T19:47:17.6870026Z         return rollout_state_parts[0], rollout_state_parts[1]
2025-03-04T19:47:17.6870639Z     else:
2025-03-04T19:47:17.6871067Z         return "", rollout_state
2025-03-04T19:47:17.6871556Z 
2025-03-04T19:47:17.6871950Z 
2025-03-04T19:47:17.6872370Z class UserOptins(dict[str, list[str]]):
2025-03-04T19:47:17.6872904Z     """
2025-03-04T19:47:17.6873457Z     Dictionary of users with a list of features they have opted into
2025-03-04T19:47:17.6874117Z     """
2025-03-04T19:47:17.6874486Z 
2025-03-04T19:47:17.6874826Z 
2025-03-04T19:47:17.6875372Z def parse_user_opt_in_from_text(user_optin_text: str) -> UserOptins:
2025-03-04T19:47:17.6876035Z     """
2025-03-04T19:47:17.6876769Z     Parse the user opt-in text into a key value pair of username and the list of features they have opted into
2025-03-04T19:47:17.6877605Z 
2025-03-04T19:47:17.6878417Z     Users are GitHub usernames with the @ prefix. Each user is also a comma-separated list of features/experiments to enable.
2025-03-04T19:47:17.6879523Z         - Example line: "@User1,lf,split_build"
2025-03-04T19:47:17.6880238Z         - A "#" prefix indicates the user is opted out of all experiments
2025-03-04T19:47:17.6880875Z 
2025-03-04T19:47:17.6881343Z 
2025-03-04T19:47:17.6881947Z     """
2025-03-04T19:47:17.6882353Z     optins = UserOptins()
2025-03-04T19:47:17.6882922Z     for user in user_optin_text.split("\n"):
2025-03-04T19:47:17.6883513Z         user = user.strip("\r\n\t -")
2025-03-04T19:47:17.6884101Z         if not user or not user.startswith("@"):
2025-03-04T19:47:17.6884700Z             # Not a valid user. Skip
2025-03-04T19:47:17.6885219Z             continue
2025-03-04T19:47:17.6885658Z 
2025-03-04T19:47:17.6886016Z         if user:
2025-03-04T19:47:17.6886533Z             usr_name = user.split(",")[0].strip("@")
2025-03-04T19:47:17.6887249Z             optins[usr_name] = [exp.strip(" ") for exp in user.split(",")[1:]]
2025-03-04T19:47:17.6887907Z 
2025-03-04T19:47:17.6888531Z     return optins
2025-03-04T19:47:17.6888966Z 
2025-03-04T19:47:17.6889609Z 
2025-03-04T19:47:17.6890434Z def is_valid_experiment_name(experiment_name: str) -> bool:
2025-03-04T19:47:17.6891121Z     """
2025-03-04T19:47:17.6891572Z     Check if the experiment name is valid.
2025-03-04T19:47:17.6892125Z     A valid name:
2025-03-04T19:47:17.6892820Z         - Contains only alphanumeric characters and the special characters "_" & "-"
2025-03-04T19:47:17.6893770Z         - The special characters "_" & "-" shouldn't be the first or last characters
2025-03-04T19:47:17.6894486Z         - Cannot contain spaces
2025-03-04T19:47:17.6895030Z     """
2025-03-04T19:47:17.6895414Z 
2025-03-04T19:47:17.6895894Z     valid_char_regex = r"^[a-zA-Z0-9]([\w-]*[a-zA-Z0-9])?$"
2025-03-04T19:47:17.6896636Z     valid = bool(re.match(valid_char_regex, experiment_name))
2025-03-04T19:47:17.6897254Z 
2025-03-04T19:47:17.6897640Z     if valid:
2025-03-04T19:47:17.6898071Z         return True
2025-03-04T19:47:17.6898503Z 
2025-03-04T19:47:17.6898865Z     log.error(
2025-03-04T19:47:17.6900429Z         f"Invalid experiment name: {experiment_name}. Experiment names should only contain alphanumeric characters, '_', and '-'. They cannot contain spaces, and the special characters '_' and '-' cannot be the first or last characters."
2025-03-04T19:47:17.6901943Z     )
2025-03-04T19:47:17.6902328Z     return False
2025-03-04T19:47:17.6902753Z 
2025-03-04T19:47:17.6903100Z 
2025-03-04T19:47:17.6903784Z def parse_settings_from_text(settings_text: str) -> Settings:
2025-03-04T19:47:17.6904440Z     """
2025-03-04T19:47:17.6905072Z     Parse the experiments from the issue body into a list of ExperimentSettings
2025-03-04T19:47:17.6905792Z     """
2025-03-04T19:47:17.6906161Z     try:
2025-03-04T19:47:17.6906556Z         if settings_text:
2025-03-04T19:47:17.6907320Z             # Escape the backtick as well so that we can have the settings in a code block on the GH issue
2025-03-04T19:47:17.6908103Z             # for easy reading
2025-03-04T19:47:17.6908930Z             # Note: Using ascii for the backtick so that the cat step in _runner-determinator.yml doesn't choke on
2025-03-04T19:47:17.6909934Z             #       the backtick character in shell commands.
2025-03-04T19:47:17.6910565Z             backtick = chr(96)  # backtick character
2025-03-04T19:47:17.6911259Z             settings_text = settings_text.strip(f"\r\n\t{backtick} ")
2025-03-04T19:47:17.6911951Z             settings = load_yaml(settings_text)
2025-03-04T19:47:17.6912469Z 
2025-03-04T19:47:17.6913075Z             # For now we just load experiments. We can expand this if/when we add more settings
2025-03-04T19:47:17.6913828Z             experiments = {}
2025-03-04T19:47:17.6914305Z 
2025-03-04T19:47:17.6914878Z             for exp_name, exp_settings in settings.get(SETTING_EXPERIMENTS).items():
2025-03-04T19:47:17.6915656Z                 if not is_valid_experiment_name(exp_name):
2025-03-04T19:47:17.6916742Z                     # Exclude invalid experiments from the list. We log an error, but don't raise an exception so that other experiments can still be processed.
2025-03-04T19:47:17.6917772Z                     continue
2025-03-04T19:47:17.6918248Z 
2025-03-04T19:47:17.6918636Z                 valid_settings = {}
2025-03-04T19:47:17.6919291Z                 for setting in exp_settings:
2025-03-04T19:47:17.6919899Z                     if setting not in Experiment._fields:
2025-03-04T19:47:17.6920475Z                         log.warning(
2025-03-04T19:47:17.6921354Z                             f"Unexpected setting in experiment: {setting} = {exp_settings[setting]}"
2025-03-04T19:47:17.6922075Z                         )
2025-03-04T19:47:17.6922543Z                     else:
2025-03-04T19:47:17.6923132Z                         valid_settings[setting] = exp_settings[setting]
2025-03-04T19:47:17.6923715Z 
2025-03-04T19:47:17.6924212Z                 experiments[exp_name] = Experiment(**valid_settings)
2025-03-04T19:47:17.6924878Z             return Settings(experiments)
2025-03-04T19:47:17.6925395Z 
2025-03-04T19:47:17.6925772Z     except Exception:
2025-03-04T19:47:17.6926310Z         log.exception("Failed to parse settings")
2025-03-04T19:47:17.6926863Z 
2025-03-04T19:47:17.6927237Z     return Settings()
2025-03-04T19:47:17.6927695Z 
2025-03-04T19:47:17.6928041Z 
2025-03-04T19:47:17.6928522Z def parse_settings(rollout_state: str) -> Settings:
2025-03-04T19:47:17.6929105Z     """
2025-03-04T19:47:17.6929695Z     Parse settings, if any, from the rollout state.
2025-03-04T19:47:17.6930264Z 
2025-03-04T19:47:17.6930810Z     If the issue body contains "---" then the text above that is the settings
2025-03-04T19:47:17.6931584Z     and the text below is the list of opted in users.
2025-03-04T19:47:17.6932149Z 
2025-03-04T19:47:17.6932747Z     If it doesn't contain "---" then the settings are empty and the default values are used.
2025-03-04T19:47:17.6933479Z     """
2025-03-04T19:47:17.6934075Z     settings_text, _ = extract_settings_user_opt_in_from_text(rollout_state)
2025-03-04T19:47:17.6935107Z     return parse_settings_from_text(settings_text)
2025-03-04T19:47:17.6935679Z 
2025-03-04T19:47:17.6936019Z 
2025-03-04T19:47:17.6936492Z def parse_users(rollout_state: str) -> UserOptins:
2025-03-04T19:47:17.6937088Z     """
2025-03-04T19:47:17.6937515Z     Parse users from the rollout state.
2025-03-04T19:47:17.6938037Z 
2025-03-04T19:47:17.6938385Z     """
2025-03-04T19:47:17.6938955Z     _, users_text = extract_settings_user_opt_in_from_text(rollout_state)
2025-03-04T19:47:17.6939819Z     return parse_user_opt_in_from_text(users_text)
2025-03-04T19:47:17.6940378Z 
2025-03-04T19:47:17.6940724Z 
2025-03-04T19:47:17.6941357Z def is_user_opted_in(user: str, user_optins: UserOptins, experiment_name: str) -> bool:
2025-03-04T19:47:17.6942103Z     """
2025-03-04T19:47:17.6942562Z     Check if a user is opted into an experiment
2025-03-04T19:47:17.6943120Z     """
2025-03-04T19:47:17.6943621Z     return experiment_name in user_optins.get(user, [])
2025-03-04T19:47:17.6944201Z 
2025-03-04T19:47:17.6944555Z 
2025-03-04T19:47:17.6945187Z def is_user_opted_out(user: str, user_optins: UserOptins, experiment_name: str) -> bool:
2025-03-04T19:47:17.6945947Z     """
2025-03-04T19:47:17.6946450Z     Check if a user explicitly opted out of an experiment
2025-03-04T19:47:17.6947036Z     """
2025-03-04T19:47:17.6947589Z     # if the experiment is prefixed with a "-", then it's an opt-out
2025-03-04T19:47:17.6948309Z     experiment_optout = "-" + experiment_name
2025-03-04T19:47:17.6948976Z     if experiment_optout not in user_optins.get(user, []):
2025-03-04T19:47:17.6949731Z         return False
2025-03-04T19:47:17.6950162Z 
2025-03-04T19:47:17.6950645Z     if is_user_opted_in(user, user_optins, experiment_name):
2025-03-04T19:47:17.6951250Z         log.warning(
2025-03-04T19:47:17.6952087Z             f"User {user} is opted into experiment {experiment_name}, but also opted out of it. Defaulting to opting out"
2025-03-04T19:47:17.6953089Z         )
2025-03-04T19:47:17.6953474Z 
2025-03-04T19:47:17.6953833Z     return True
2025-03-04T19:47:17.6954251Z 
2025-03-04T19:47:17.6954589Z 
2025-03-04T19:47:17.6954959Z def get_runner_prefix(
2025-03-04T19:47:17.6955460Z     rollout_state: str,
2025-03-04T19:47:17.6955969Z     workflow_requestors: Iterable[str],
2025-03-04T19:47:17.6956500Z     branch: str,
2025-03-04T19:47:17.6957046Z     eligible_experiments: frozenset[str] = frozenset(),
2025-03-04T19:47:17.6957665Z     is_canary: bool = False,
2025-03-04T19:47:17.6958156Z ) -> str:
2025-03-04T19:47:17.6958629Z     settings = parse_settings(rollout_state)
2025-03-04T19:47:17.6959339Z     user_optins = parse_users(rollout_state)
2025-03-04T19:47:17.6959872Z 
2025-03-04T19:47:17.6960240Z     fleet_prefix = ""
2025-03-04T19:47:17.6960710Z     prefixes = []
2025-03-04T19:47:17.6961397Z     for experiment_name, experiment_settings in settings.experiments.items():
2025-03-04T19:47:17.6962355Z         if not experiment_settings.all_branches and is_exception_branch(branch):
2025-03-04T19:47:17.6963074Z             log.info(
2025-03-04T19:47:17.6963787Z                 f"Branch {branch} is an exception branch. Not enabling experiment {experiment_name}."
2025-03-04T19:47:17.6964538Z             )
2025-03-04T19:47:17.6964960Z             continue
2025-03-04T19:47:17.6965392Z 
2025-03-04T19:47:17.6965779Z         if eligible_experiments:
2025-03-04T19:47:17.6966611Z             if experiment_name not in eligible_experiments:
2025-03-04T19:47:17.6967281Z                 exp_list = ", ".join(eligible_experiments)
2025-03-04T19:47:17.6967844Z                 log.info(
2025-03-04T19:47:17.6968702Z                     f"Skipping experiment '{experiment_name}', as it is not in the eligible_experiments list: {exp_list}"
2025-03-04T19:47:17.6969629Z                 )
2025-03-04T19:47:17.6970070Z                 continue
2025-03-04T19:47:17.6970588Z         elif not experiment_settings.default:
2025-03-04T19:47:17.6971133Z             log.info(
2025-03-04T19:47:17.6971826Z                 f"Skipping experiment '{experiment_name}', as it is not a default experiment"
2025-03-04T19:47:17.6972559Z             )
2025-03-04T19:47:17.6972984Z             continue
2025-03-04T19:47:17.6973413Z 
2025-03-04T19:47:17.6973904Z         # Is any workflow_requestor opted out to this experiment?
2025-03-04T19:47:17.6974536Z         opted_out_users = [
2025-03-04T19:47:17.6975025Z             requestor
2025-03-04T19:47:17.6975531Z             for requestor in workflow_requestors
2025-03-04T19:47:17.6976225Z             if is_user_opted_out(requestor, user_optins, experiment_name)
2025-03-04T19:47:17.6976854Z         ]
2025-03-04T19:47:17.6977232Z 
2025-03-04T19:47:17.6977606Z         if opted_out_users:
2025-03-04T19:47:17.6978090Z             log.info(
2025-03-04T19:47:17.6978752Z                 f"{', '.join(opted_out_users)} have opted out of experiment {experiment_name}."
2025-03-04T19:47:17.6979535Z             )
2025-03-04T19:47:17.6979957Z             continue
2025-03-04T19:47:17.6980384Z 
2025-03-04T19:47:17.6980861Z         # Is any workflow_requestor opted in to this experiment?
2025-03-04T19:47:17.6981482Z         opted_in_users = [
2025-03-04T19:47:17.6981978Z             requestor
2025-03-04T19:47:17.6982491Z             for requestor in workflow_requestors
2025-03-04T19:47:17.6983182Z             if is_user_opted_in(requestor, user_optins, experiment_name)
2025-03-04T19:47:17.6983934Z         ]
2025-03-04T19:47:17.6984316Z 
2025-03-04T19:47:17.6984683Z         enabled = False
2025-03-04T19:47:17.6985158Z         if opted_in_users:
2025-03-04T19:47:17.6985645Z             log.info(
2025-03-04T19:47:17.6986299Z                 f"{', '.join(opted_in_users)} have opted into experiment {experiment_name}."
2025-03-04T19:47:17.6986987Z             )
2025-03-04T19:47:17.6987407Z             enabled = True
2025-03-04T19:47:17.6987861Z 
2025-03-04T19:47:17.6988280Z         elif experiment_settings.rollout_perc:
2025-03-04T19:47:17.6989147Z             # If no user is opted in, then we randomly enable the experiment based on the rollout percentage
2025-03-04T19:47:17.6990174Z             if random.uniform(0, 100) <= experiment_settings.rollout_perc:
2025-03-04T19:47:17.6990823Z                 log.info(
2025-03-04T19:47:17.6991719Z                     f"Based on rollout percentage of {experiment_settings.rollout_perc}%, enabling experiment {experiment_name}."
2025-03-04T19:47:17.6992629Z                 )
2025-03-04T19:47:17.6993070Z                 enabled = True
2025-03-04T19:47:17.6993556Z 
2025-03-04T19:47:17.6993918Z         if enabled:
2025-03-04T19:47:17.6994397Z             label = experiment_name
2025-03-04T19:47:17.6994991Z             if experiment_name == LF_FLEET_EXPERIMENT:
2025-03-04T19:47:17.6995827Z                 # We give some special treatment to the "lf" experiment since determines the fleet we use
2025-03-04T19:47:17.6996860Z                 #  - If it's enabled, then we always list it's prefix first
2025-03-04T19:47:17.6997641Z                 #  - If we're in the canary branch, then we append ".c" to the lf prefix
2025-03-04T19:47:17.6998318Z                 if is_canary:
2025-03-04T19:47:17.6998855Z                     label += CANARY_FLEET_SUFFIX
2025-03-04T19:47:17.6999516Z                 fleet_prefix = label
2025-03-04T19:47:17.7000027Z             else:
2025-03-04T19:47:17.7000500Z                 prefixes.append(label)
2025-03-04T19:47:17.7001014Z 
2025-03-04T19:47:17.7001420Z     if len(prefixes) > 1:
2025-03-04T19:47:17.7001901Z         log.error(
2025-03-04T19:47:17.7002982Z             f"Only a fleet and one other experiment can be enabled for a job at any time. Enabling {prefixes[0]} and ignoring the rest, which are {', '.join(prefixes[1:])}"
2025-03-04T19:47:17.7004065Z         )
2025-03-04T19:47:17.7004492Z         prefixes = prefixes[:1]
2025-03-04T19:47:17.7005005Z 
2025-03-04T19:47:17.7005385Z     # Fleet always comes first
2025-03-04T19:47:17.7005891Z     if fleet_prefix:
2025-03-04T19:47:17.7006382Z         prefixes.insert(0, fleet_prefix)
2025-03-04T19:47:17.7006915Z 
2025-03-04T19:47:17.7007389Z     return ".".join(prefixes) + "." if prefixes else ""
2025-03-04T19:47:17.7007970Z 
2025-03-04T19:47:17.7008319Z 
2025-03-04T19:47:17.7008963Z def get_rollout_state_from_issue(github_token: str, repo: str, issue_num: int) -> str:
2025-03-04T19:47:17.7009825Z     """
2025-03-04T19:47:17.7010449Z     Gets the first comment of the issue, which contains the desired rollout state.
2025-03-04T19:47:17.7011155Z 
2025-03-04T19:47:17.7011742Z     The default issue we use - https://github.com/pytorch/test-infra/issues/5132
2025-03-04T19:47:17.7012446Z     """
2025-03-04T19:47:17.7012871Z     gh = get_gh_client(github_token)
2025-03-04T19:47:17.7013441Z     issue = get_issue(gh, repo, issue_num)
2025-03-04T19:47:17.7014106Z     return str(issue.get_comments()[0].body.strip("\n\t "))
2025-03-04T19:47:17.7014834Z 
2025-03-04T19:47:17.7015205Z 
2025-03-04T19:47:17.7015815Z def download_json(url: str, headers: dict[str, str], num_retries: int = 3) -> Any:
2025-03-04T19:47:17.7016595Z     for _ in range(num_retries):
2025-03-04T19:47:17.7017094Z         try:
2025-03-04T19:47:17.7017555Z             req = Request(url=url, headers=headers)
2025-03-04T19:47:17.7018247Z             content = urlopen(req, timeout=5).read().decode("utf-8")
2025-03-04T19:47:17.7018909Z             return json.loads(content)
2025-03-04T19:47:17.7019540Z         except Exception as e:
2025-03-04T19:47:17.7020127Z             log.warning(f"Could not download {url}: {e}")
2025-03-04T19:47:17.7020691Z 
2025-03-04T19:47:17.7021274Z     log.warning(f"All {num_retries} retries exhausted, downloading {url} failed")
2025-03-04T19:47:17.7021997Z     return {}
2025-03-04T19:47:17.7022406Z 
2025-03-04T19:47:17.7022758Z 
2025-03-04T19:47:17.7023101Z @cache
2025-03-04T19:47:17.7023758Z def get_pr_info(github_repo: str, github_token: str, pr_number: int) -> dict[str, Any]:
2025-03-04T19:47:17.7024507Z     """
2025-03-04T19:47:17.7024926Z     Dynamically get PR information
2025-03-04T19:47:17.7025427Z     """
2025-03-04T19:47:17.7025948Z     github_api = f"https://api.github.com/repos/{github_repo}"
2025-03-04T19:47:17.7026580Z     headers = {
2025-03-04T19:47:17.7027087Z         "Accept": "application/vnd.github.v3+json",
2025-03-04T19:47:17.7027722Z         "Authorization": f"token {github_token}",
2025-03-04T19:47:17.7028254Z     }
2025-03-04T19:47:17.7100130Z     json_response: dict[str, Any] = download_json(
2025-03-04T19:47:17.7101473Z         url=f"{github_api}/issues/{pr_number}",
2025-03-04T19:47:17.7102479Z         headers=headers,
2025-03-04T19:47:17.7103249Z     )
2025-03-04T19:47:17.7103904Z 
2025-03-04T19:47:17.7104395Z     if not json_response:
2025-03-04T19:47:17.7105031Z         log.warning(f"Failed to get the labels for #{pr_number}")
2025-03-04T19:47:17.7105672Z         return {}
2025-03-04T19:47:17.7106100Z 
2025-03-04T19:47:17.7106481Z     return json_response
2025-03-04T19:47:17.7106960Z 
2025-03-04T19:47:17.7107307Z 
2025-03-04T19:47:17.7107937Z def get_labels(github_repo: str, github_token: str, pr_number: int) -> set[str]:
2025-03-04T19:47:17.7108668Z     """
2025-03-04T19:47:17.7109461Z     Dynamically get the latest list of labels from the pull request
2025-03-04T19:47:17.7110153Z     """
2025-03-04T19:47:17.7110730Z     pr_info = get_pr_info(github_repo, github_token, pr_number)
2025-03-04T19:47:17.7111394Z     return {
2025-03-04T19:47:17.7112030Z         label.get("name") for label in pr_info.get("labels", []) if label.get("name")
2025-03-04T19:47:17.7112718Z     }
2025-03-04T19:47:17.7113082Z 
2025-03-04T19:47:17.7113434Z 
2025-03-04T19:47:17.7113800Z def main() -> None:
2025-03-04T19:47:17.7114259Z     args = parse_args()
2025-03-04T19:47:17.7114704Z 
2025-03-04T19:47:17.7115144Z     runner_label_prefix = DEFAULT_LABEL_PREFIX
2025-03-04T19:47:17.7115695Z 
2025-03-04T19:47:17.7116086Z     # Check if the PR is opt-out
2025-03-04T19:47:17.7116608Z     if args.pr_number:
2025-03-04T19:47:17.7117335Z         labels = get_labels(args.github_repo, args.github_token, int(args.pr_number))
2025-03-04T19:47:17.7118103Z         if OPT_OUT_LABEL in labels:
2025-03-04T19:47:17.7118650Z             log.info(
2025-03-04T19:47:17.7119543Z                 f"Opt-out runner determinator because #{args.pr_number} has {OPT_OUT_LABEL} label"
2025-03-04T19:47:17.7120503Z             )
2025-03-04T19:47:17.7121116Z             set_github_output(GH_OUTPUT_KEY_LABEL_TYPE, runner_label_prefix)
2025-03-04T19:47:17.7121794Z             sys.exit()
2025-03-04T19:47:17.7122236Z 
2025-03-04T19:47:17.7122589Z     try:
2025-03-04T19:47:17.7123062Z         rollout_state = get_rollout_state_from_issue(
2025-03-04T19:47:17.7123801Z             args.github_token, args.github_issue_repo, args.github_issue
2025-03-04T19:47:17.7124446Z         )
2025-03-04T19:47:17.7124820Z 
2025-03-04T19:47:17.7125235Z         username = get_potential_pr_author(
2025-03-04T19:47:17.7125789Z             args.github_token,
2025-03-04T19:47:17.7126309Z             args.github_repo,
2025-03-04T19:47:17.7126817Z             args.github_actor,
2025-03-04T19:47:17.7127365Z             args.github_ref_type,
2025-03-04T19:47:17.7127893Z             args.github_branch,
2025-03-04T19:47:17.7128379Z         )
2025-03-04T19:47:17.7128762Z 
2025-03-04T19:47:17.7129422Z         is_canary = args.github_repo == "pytorch/pytorch-canary"
2025-03-04T19:47:17.7130042Z 
2025-03-04T19:47:17.7130471Z         runner_label_prefix = get_runner_prefix(
2025-03-04T19:47:17.7131051Z             rollout_state,
2025-03-04T19:47:17.7131582Z             (args.github_issue_owner, username),
2025-03-04T19:47:17.7132140Z             args.github_branch,
2025-03-04T19:47:17.7132671Z             args.eligible_experiments,
2025-03-04T19:47:17.7133197Z             is_canary,
2025-03-04T19:47:17.7133770Z         )
2025-03-04T19:47:17.7134164Z 
2025-03-04T19:47:17.7134544Z     except Exception as e:
2025-03-04T19:47:17.7135030Z         log.error(
2025-03-04T19:47:17.7135747Z             f"Failed to get issue. Defaulting to Meta runners and no experiments. Exception: {e}"
2025-03-04T19:47:17.7136501Z         )
2025-03-04T19:47:17.7136886Z 
2025-03-04T19:47:17.7137418Z     set_github_output(GH_OUTPUT_KEY_LABEL_TYPE, runner_label_prefix)
2025-03-04T19:47:17.7138076Z 
2025-03-04T19:47:17.7138417Z 
2025-03-04T19:47:17.7138782Z if __name__ == "__main__":
2025-03-04T19:47:17.7139925Z     main()
2025-03-04T19:47:17.7140351Z 
2025-03-04T19:47:17.7140704Z EOF
2025-03-04T19:47:17.7141055Z 
2025-03-04T19:47:17.7141435Z cat runner_determinator.py
2025-03-04T19:47:17.7451713Z shell: /usr/bin/bash -e {0}
2025-03-04T19:47:17.7452633Z env:
2025-03-04T19:47:17.7453357Z   GITHUB_TOKEN: ***
2025-03-04T19:47:17.7453776Z   ISSUE_NUMBER: 5132
2025-03-04T19:47:17.7454209Z   TRIGGERING_ACTOR: pytorch-bot[bot]
2025-03-04T19:47:17.7454697Z   ISSUE_OWNER: 
2025-03-04T19:47:17.7455097Z   CHECK_EXPERIMENTS: 
2025-03-04T19:47:17.7455505Z   PR_NUMBER: 
2025-03-04T19:47:17.7455880Z ##[endgroup]
2025-03-04T19:47:17.7677769Z # flake8: noqa: G004
2025-03-04T19:47:17.7678111Z 
2025-03-04T19:47:17.7678525Z # Note: Copies of this script in runner_determinator.py and _runner-determinator.yml
2025-03-04T19:47:17.7679733Z #       must be kept in sync. You can do it easily by running the following command:
2025-03-04T19:47:17.7680501Z #           python .github/scripts/update_runner_determinator.py
2025-03-04T19:47:17.7680919Z 
2025-03-04T19:47:17.7681073Z """
2025-03-04T19:47:17.7681630Z This runner determinator is used to determine which set of runners to run a
2025-03-04T19:47:17.7682456Z GitHub job on. It uses the first comment of a GitHub issue (by default
2025-03-04T19:47:17.7683334Z https://github.com/pytorch/test-infra/issues/5132) to define the configuration
2025-03-04T19:47:17.7684105Z of which runners should be used to run which job.
2025-03-04T19:47:17.7684485Z 
2025-03-04T19:47:17.7685065Z The configuration has two parts, the settings and a list of opted-in users,
2025-03-04T19:47:17.7685918Z separated by a line containing "---".  If the line is not present, the
2025-03-04T19:47:17.7686744Z settings are considered to be empty with only the second part, the user
2025-03-04T19:47:17.7687396Z list, defined.
2025-03-04T19:47:17.7687619Z 
2025-03-04T19:47:17.7687968Z The first part is a YAML block that defines the rollout settings. This can be
2025-03-04T19:47:17.7688845Z used to define any settings that are needed to determine which runners to use.
2025-03-04T19:47:17.7690097Z It's fields are defined by the RolloutSettings class below.
2025-03-04T19:47:17.7690519Z 
2025-03-04T19:47:17.7690886Z The second part is a list of users who are explicitly opted in to the LF fleet.
2025-03-04T19:47:17.7691724Z The user list is also a comma separated list of additional features or
2025-03-04T19:47:17.7692409Z experiments which the user could be opted in to.
2025-03-04T19:47:17.7692793Z 
2025-03-04T19:47:17.7692992Z The user list has the following rules:
2025-03-04T19:47:17.7693326Z 
2025-03-04T19:47:17.7693620Z - Users are GitHub usernames, which must start with the @ prefix
2025-03-04T19:47:17.7694440Z - Each user is also a comma-separated list of features/experiments to enable
2025-03-04T19:47:17.7695158Z - A "#" prefix opts the user out of all experiments
2025-03-04T19:47:17.7695532Z 
2025-03-04T19:47:17.7695699Z Example config:
2025-03-04T19:47:17.7696121Z     # A list of experiments that can be opted into.
2025-03-04T19:47:17.7696771Z     # This defines the behavior they'll induce when opted into.
2025-03-04T19:47:17.7697369Z     # Expected syntax is:
2025-03-04T19:47:17.7697987Z     #   [experiment_name]: # Name of the experiment. Also used for the label prefix.
2025-03-04T19:47:17.7699063Z     #      rollout_perc: [int] # % of workflows to run with this experiment when users are not opted in.
2025-03-04T19:47:17.7699873Z 
2025-03-04T19:47:17.7700041Z     experiments:
2025-03-04T19:47:17.7700426Z       lf:
2025-03-04T19:47:17.7700788Z         rollout_percent: 25
2025-03-04T19:47:17.7701230Z         all_branches: false
2025-03-04T19:47:17.7701653Z         default: true
2025-03-04T19:47:17.7702037Z     ---
2025-03-04T19:47:17.7702237Z 
2025-03-04T19:47:17.7702394Z     # Opt-ins:
2025-03-04T19:47:17.7702949Z     # Users can opt into the LF fleet by adding their GitHub username to this list
2025-03-04T19:47:17.7703767Z     # and specifying experiments to enable in a comma-separated list.
2025-03-04T19:47:17.7704497Z     # To always opt out of an experiment, prefix it with a "-".
2025-03-04T19:47:17.7705115Z     # Experiments should be from the above list.
2025-03-04T19:47:17.7705483Z 
2025-03-04T19:47:17.7705657Z     @User1,-lf,split_build
2025-03-04T19:47:17.7706077Z     @User2,lf
2025-03-04T19:47:17.7706448Z     @User3,split_build
2025-03-04T19:47:17.7706841Z """
2025-03-04T19:47:17.7707019Z 
2025-03-04T19:47:17.7707171Z import json
2025-03-04T19:47:17.7707530Z import logging
2025-03-04T19:47:17.7707899Z import os
2025-03-04T19:47:17.7708239Z import random
2025-03-04T19:47:17.7708596Z import re
2025-03-04T19:47:17.7708933Z import sys
2025-03-04T19:47:17.7709553Z from argparse import ArgumentParser
2025-03-04T19:47:17.7710083Z from collections.abc import Iterable
2025-03-04T19:47:17.7710586Z from functools import cache
2025-03-04T19:47:17.7711035Z from logging import LogRecord
2025-03-04T19:47:17.7711495Z from typing import Any, NamedTuple
2025-03-04T19:47:17.7712004Z from urllib.request import Request, urlopen
2025-03-04T19:47:17.7712360Z 
2025-03-04T19:47:17.7712514Z import yaml
2025-03-04T19:47:17.7712889Z from github import Auth, Github
2025-03-04T19:47:17.7713372Z from github.Issue import Issue
2025-03-04T19:47:17.7713661Z 
2025-03-04T19:47:17.7713668Z 
2025-03-04T19:47:17.7713882Z DEFAULT_LABEL_PREFIX = ""  # use meta runners
2025-03-04T19:47:17.7714560Z WORKFLOW_LABEL_LF = "lf."  # use runners from the linux foundation
2025-03-04T19:47:17.7715380Z WORKFLOW_LABEL_LF_CANARY = "lf.c."  # use canary runners from the linux foundation
2025-03-04T19:47:17.7716190Z 
2025-03-04T19:47:17.7716452Z GITHUB_OUTPUT = os.getenv("GITHUB_OUTPUT", "")
2025-03-04T19:47:17.7717008Z GH_OUTPUT_KEY_AMI = "runner-ami"
2025-03-04T19:47:17.7717493Z GH_OUTPUT_KEY_LABEL_TYPE = "label-type"
2025-03-04T19:47:17.7718015Z OPT_OUT_LABEL = "no-runner-experiments"
2025-03-04T19:47:17.7718362Z 
2025-03-04T19:47:17.7718550Z SETTING_EXPERIMENTS = "experiments"
2025-03-04T19:47:17.7718874Z 
2025-03-04T19:47:17.7719048Z LF_FLEET_EXPERIMENT = "lf"
2025-03-04T19:47:17.7719844Z CANARY_FLEET_SUFFIX = ".c"
2025-03-04T19:47:17.7720120Z 
2025-03-04T19:47:17.7720126Z 
2025-03-04T19:47:17.7720322Z class Experiment(NamedTuple):
2025-03-04T19:47:17.7720781Z     rollout_perc: float = (
2025-03-04T19:47:17.7721409Z         0  # Percentage of workflows to experiment on when user is not opted-in.
2025-03-04T19:47:17.7722053Z     )
2025-03-04T19:47:17.7722407Z     all_branches: bool = (
2025-03-04T19:47:17.7723003Z         False  # If True, the experiment is also enabled on the exception branches
2025-03-04T19:47:17.7723656Z     )
2025-03-04T19:47:17.7724006Z     default: bool = (
2025-03-04T19:47:17.7724560Z         True  # If True, the experiment is enabled by default for all queries
2025-03-04T19:47:17.7725180Z     )
2025-03-04T19:47:17.7725365Z 
2025-03-04T19:47:17.7725545Z     # Add more fields as needed
2025-03-04T19:47:17.7725834Z 
2025-03-04T19:47:17.7725840Z 
2025-03-04T19:47:17.7726024Z class Settings(NamedTuple):
2025-03-04T19:47:17.7726448Z     """
2025-03-04T19:47:17.7726882Z     Settings for the experiments that can be opted into.
2025-03-04T19:47:17.7727426Z     """
2025-03-04T19:47:17.7727624Z 
2025-03-04T19:47:17.7727820Z     experiments: dict[str, Experiment] = {}
2025-03-04T19:47:17.7728171Z 
2025-03-04T19:47:17.7728177Z 
2025-03-04T19:47:17.7728520Z class ColorFormatter(logging.Formatter):
2025-03-04T19:47:17.7729136Z     """Color codes the log messages based on the log level"""
2025-03-04T19:47:17.7729745Z 
2025-03-04T19:47:17.7729905Z     COLORS = {
2025-03-04T19:47:17.7730300Z         "WARNING": "\033[33m",  # Yellow
2025-03-04T19:47:17.7730792Z         "ERROR": "\033[31m",  # Red
2025-03-04T19:47:17.7731260Z         "CRITICAL": "\033[31m",  # Red
2025-03-04T19:47:17.7731742Z         "INFO": "\033[0m",  # Reset
2025-03-04T19:47:17.7732198Z         "DEBUG": "\033[0m",  # Reset
2025-03-04T19:47:17.7732652Z     }
2025-03-04T19:47:17.7732846Z 
2025-03-04T19:47:17.7733053Z     def format(self, record: LogRecord) -> str:
2025-03-04T19:47:17.7733770Z         log_color = self.COLORS.get(record.levelname, "\033[0m")  # Default to reset
2025-03-04T19:47:17.7734504Z         record.msg = f"{log_color}{record.msg}\033[0m"
2025-03-04T19:47:17.7735057Z         return super().format(record)
2025-03-04T19:47:17.7735371Z 
2025-03-04T19:47:17.7735376Z 
2025-03-04T19:47:17.7735565Z handler = logging.StreamHandler()
2025-03-04T19:47:17.7736241Z handler.setFormatter(ColorFormatter(fmt="%(levelname)-8s: %(message)s"))
2025-03-04T19:47:17.7736769Z 
2025-03-04T19:47:17.7737006Z log = logging.getLogger(os.path.basename(__file__))
2025-03-04T19:47:17.7737562Z log.addHandler(handler)
2025-03-04T19:47:17.7737997Z log.setLevel(logging.INFO)
2025-03-04T19:47:17.7738265Z 
2025-03-04T19:47:17.7738271Z 
2025-03-04T19:47:17.7738512Z def set_github_output(key: str, value: str) -> None:
2025-03-04T19:47:17.7739048Z     """
2025-03-04T19:47:17.7739721Z     Defines outputs of the github action that invokes this script
2025-03-04T19:47:17.7740322Z     """
2025-03-04T19:47:17.7740681Z     if not GITHUB_OUTPUT:
2025-03-04T19:47:17.7741688Z         # See https://github.blog/changelog/2022-10-11-github-actions-deprecating-save-state-and-set-output-commands/ for deprecation notice
2025-03-04T19:47:17.7742734Z         log.warning(
2025-03-04T19:47:17.7743545Z             "No env var found for GITHUB_OUTPUT, you must be running this code locally. Falling back to the deprecated print method."
2025-03-04T19:47:17.7744411Z         )
2025-03-04T19:47:17.7754201Z         print(f"::set-output name={key}::{value}")
2025-03-04T19:47:17.7754991Z         return
2025-03-04T19:47:17.7755213Z 
2025-03-04T19:47:17.7755403Z     with open(GITHUB_OUTPUT, "a") as f:
2025-03-04T19:47:17.7755959Z         log.info(f"Setting output: {key}='{value}'")
2025-03-04T19:47:17.7756516Z         f.write(f"{key}={value}\n")
2025-03-04T19:47:17.7756834Z 
2025-03-04T19:47:17.7756842Z 
2025-03-04T19:47:17.7757131Z def _str_comma_separated_to_set(value: str) -> frozenset[str]:
2025-03-04T19:47:17.7757741Z     return frozenset(
2025-03-04T19:47:17.7758334Z         filter(lambda itm: itm != "", map(str.strip, value.strip(" \n\t").split(",")))
2025-03-04T19:47:17.7758976Z     )
2025-03-04T19:47:17.7759172Z 
2025-03-04T19:47:17.7759178Z 
2025-03-04T19:47:17.7759612Z def parse_args() -> Any:
2025-03-04T19:47:17.7760182Z     parser = ArgumentParser("Get dynamic rollout settings")
2025-03-04T19:47:17.7761012Z     parser.add_argument("--github-token", type=str, required=True, help="GitHub token")
2025-03-04T19:47:17.7761755Z     parser.add_argument(
2025-03-04T19:47:17.7762192Z         "--github-issue-repo",
2025-03-04T19:47:17.7762641Z         type=str,
2025-03-04T19:47:17.7763028Z         required=False,
2025-03-04T19:47:17.7763466Z         default="pytorch/test-infra",
2025-03-04T19:47:17.7763980Z         help="GitHub repo to get the issue",
2025-03-04T19:47:17.7764458Z     )
2025-03-04T19:47:17.7764809Z     parser.add_argument(
2025-03-04T19:47:17.7765225Z         "--github-repo",
2025-03-04T19:47:17.7765647Z         type=str,
2025-03-04T19:47:17.7766022Z         required=True,
2025-03-04T19:47:17.7766455Z         help="GitHub repo where CI is running",
2025-03-04T19:47:17.7766950Z     )
2025-03-04T19:47:17.7767303Z     parser.add_argument(
2025-03-04T19:47:17.7767892Z         "--github-issue", type=int, required=True, help="GitHub issue number"
2025-03-04T19:47:17.7768654Z     )
2025-03-04T19:47:17.7769018Z     parser.add_argument(
2025-03-04T19:47:17.7769769Z         "--github-actor", type=str, required=True, help="GitHub triggering_actor"
2025-03-04T19:47:17.7770420Z     )
2025-03-04T19:47:17.7770775Z     parser.add_argument(
2025-03-04T19:47:17.7771382Z         "--github-issue-owner", type=str, required=True, help="GitHub issue owner"
2025-03-04T19:47:17.7772041Z     )
2025-03-04T19:47:17.7772394Z     parser.add_argument(
2025-03-04T19:47:17.7773011Z         "--github-branch", type=str, required=True, help="Current GitHub branch or tag"
2025-03-04T19:47:17.7773687Z     )
2025-03-04T19:47:17.7774040Z     parser.add_argument(
2025-03-04T19:47:17.7774466Z         "--github-ref-type",
2025-03-04T19:47:17.7774902Z         type=str,
2025-03-04T19:47:17.7775281Z         required=True,
2025-03-04T19:47:17.7775751Z         help="Current GitHub ref type, branch or tag",
2025-03-04T19:47:17.7776277Z     )
2025-03-04T19:47:17.7776620Z     parser.add_argument(
2025-03-04T19:47:17.7777067Z         "--eligible-experiments",
2025-03-04T19:47:17.7777561Z         type=_str_comma_separated_to_set,
2025-03-04T19:47:17.7778065Z         required=False,
2025-03-04T19:47:17.7778477Z         default="",
2025-03-04T19:47:17.7779393Z         help="comma separated list of experiments to check, if omitted all experiments marked with default=True are checked",
2025-03-04T19:47:17.7780270Z     )
2025-03-04T19:47:17.7780627Z     parser.add_argument(
2025-03-04T19:47:17.7781059Z         "--pr-number",
2025-03-04T19:47:17.7781466Z         type=str,
2025-03-04T19:47:17.7781845Z         required=False,
2025-03-04T19:47:17.7782246Z         default="",
2025-03-04T19:47:17.7782697Z         help="the optional PR number where this is run",
2025-03-04T19:47:17.7783228Z     )
2025-03-04T19:47:17.7783415Z 
2025-03-04T19:47:17.7783601Z     return parser.parse_args()
2025-03-04T19:47:17.7783897Z 
2025-03-04T19:47:17.7783902Z 
2025-03-04T19:47:17.7784283Z def get_gh_client(github_token: str) -> Github:  # type: ignore[no-any-unimported]
2025-03-04T19:47:17.7785005Z     auth = Auth.Token(github_token)
2025-03-04T19:47:17.7785495Z     return Github(auth=auth)
2025-03-04T19:47:17.7785780Z 
2025-03-04T19:47:17.7785915Z 
2025-03-04T19:47:17.7786358Z def get_issue(gh: Github, repo: str, issue_num: int) -> Issue:  # type: ignore[no-any-unimported]
2025-03-04T19:47:17.7787113Z     repo = gh.get_repo(repo)
2025-03-04T19:47:17.7787591Z     return repo.get_issue(number=issue_num)
2025-03-04T19:47:17.7787937Z 
2025-03-04T19:47:17.7787943Z 
2025-03-04T19:47:17.7788119Z def get_potential_pr_author(
2025-03-04T19:47:17.7788729Z     github_token: str, repo: str, username: str, ref_type: str, ref_name: str
2025-03-04T19:47:17.7789605Z ) -> str:
2025-03-04T19:47:17.7790119Z     # If the trigger was a new tag added by a bot, this is a ciflow case
2025-03-04T19:47:17.7790890Z     # Fetch the actual username from the original PR. The PR number is
2025-03-04T19:47:17.7791584Z     # embedded in the tag name: ciflow/<name>/<pr-number>
2025-03-04T19:47:17.7791982Z 
2025-03-04T19:47:17.7792163Z     gh = get_gh_client(github_token)
2025-03-04T19:47:17.7792485Z 
2025-03-04T19:47:17.7792737Z     if username == "pytorch-bot[bot]" and ref_type == "tag":
2025-03-04T19:47:17.7793339Z         split_tag = ref_name.split("/")
2025-03-04T19:47:17.7793811Z         if (
2025-03-04T19:47:17.7794181Z             len(split_tag) == 3
2025-03-04T19:47:17.7794640Z             and split_tag[0] == "ciflow"
2025-03-04T19:47:17.7795144Z             and split_tag[2].isnumeric()
2025-03-04T19:47:17.7795619Z         ):
2025-03-04T19:47:17.7795996Z             pr_number = split_tag[2]
2025-03-04T19:47:17.7796458Z             try:
2025-03-04T19:47:17.7796863Z                 repository = gh.get_repo(repo)
2025-03-04T19:47:17.7797446Z                 pull = repository.get_pull(number=int(pr_number))
2025-03-04T19:47:17.7798016Z             except Exception as e:
2025-03-04T19:47:17.7798510Z                 raise Exception(  # noqa: TRY002
2025-03-04T19:47:17.7799391Z                     f"issue with pull request {pr_number} from repo {repository}"
2025-03-04T19:47:17.7800022Z                 ) from e
2025-03-04T19:47:17.7800535Z             return pull.user.login  # type: ignore[no-any-return]
2025-03-04T19:47:17.7801197Z     # In all other cases, return the original input username
2025-03-04T19:47:17.7801763Z     return username
2025-03-04T19:47:17.7801991Z 
2025-03-04T19:47:17.7801997Z 
2025-03-04T19:47:17.7802216Z def is_exception_branch(branch: str) -> bool:
2025-03-04T19:47:17.7802890Z     """
2025-03-04T19:47:17.7803684Z     Branches that get opted out of experiments by default, until they're explicitly enabled.
2025-03-04T19:47:17.7804422Z     """
2025-03-04T19:47:17.7804944Z     return branch.split("/")[0] in {"main", "nightly", "release", "landchecks"}
2025-03-04T19:47:17.7805455Z 
2025-03-04T19:47:17.7805461Z 
2025-03-04T19:47:17.7805655Z def load_yaml(yaml_text: str) -> Any:
2025-03-04T19:47:17.7806133Z     try:
2025-03-04T19:47:17.7806516Z         data = yaml.safe_load(yaml_text)
2025-03-04T19:47:17.7807010Z         return data
2025-03-04T19:47:17.7807418Z     except yaml.YAMLError:
2025-03-04T19:47:17.7807880Z         log.exception("Error loading YAML")
2025-03-04T19:47:17.7808383Z         raise
2025-03-04T19:47:17.7808589Z 
2025-03-04T19:47:17.7808594Z 
2025-03-04T19:47:17.7808985Z def extract_settings_user_opt_in_from_text(rollout_state: str) -> tuple[str, str]:
2025-03-04T19:47:17.7809856Z     """
2025-03-04T19:47:17.7810450Z     Extracts the text with settings, if any, and the opted in users from the rollout state.
2025-03-04T19:47:17.7811019Z 
2025-03-04T19:47:17.7811345Z     If the issue body contains "---" then the text above that is the settings
2025-03-04T19:47:17.7812059Z     and the text below is the list of opted in users.
2025-03-04T19:47:17.7812446Z 
2025-03-04T19:47:17.7812805Z     If it doesn't contain "---" then the settings are empty and the rest is the users.
2025-03-04T19:47:17.7813459Z     """
2025-03-04T19:47:17.7813884Z     rollout_state_parts = rollout_state.split("---")
2025-03-04T19:47:17.7814451Z     if len(rollout_state_parts) >= 2:
2025-03-04T19:47:17.7815021Z         return rollout_state_parts[0], rollout_state_parts[1]
2025-03-04T19:47:17.7815737Z     else:
2025-03-04T19:47:17.7816101Z         return "", rollout_state
2025-03-04T19:47:17.7816403Z 
2025-03-04T19:47:17.7816408Z 
2025-03-04T19:47:17.7816597Z class UserOptins(dict[str, list[str]]):
2025-03-04T19:47:17.7817080Z     """
2025-03-04T19:47:17.7817576Z     Dictionary of users with a list of features they have opted into
2025-03-04T19:47:17.7818179Z     """
2025-03-04T19:47:17.7818364Z 
2025-03-04T19:47:17.7818370Z 
2025-03-04T19:47:17.7818697Z def parse_user_opt_in_from_text(user_optin_text: str) -> UserOptins:
2025-03-04T19:47:17.7819417Z     """
2025-03-04T19:47:17.7820099Z     Parse the user opt-in text into a key value pair of username and the list of features they have opted into
2025-03-04T19:47:17.7820743Z 
2025-03-04T19:47:17.7821331Z     Users are GitHub usernames with the @ prefix. Each user is also a comma-separated list of features/experiments to enable.
2025-03-04T19:47:17.7822282Z         - Example line: "@User1,lf,split_build"
2025-03-04T19:47:17.7822953Z         - A "#" prefix indicates the user is opted out of all experiments
2025-03-04T19:47:17.7823402Z 
2025-03-04T19:47:17.7823408Z 
2025-03-04T19:47:17.7823562Z     """
2025-03-04T19:47:17.7823913Z     optins = UserOptins()
2025-03-04T19:47:17.7824377Z     for user in user_optin_text.split("\n"):
2025-03-04T19:47:17.7824899Z         user = user.strip("\r\n\t -")
2025-03-04T19:47:17.7825422Z         if not user or not user.startswith("@"):
2025-03-04T19:47:17.7825951Z             # Not a valid user. Skip
2025-03-04T19:47:17.7826439Z             continue
2025-03-04T19:47:17.7826703Z 
2025-03-04T19:47:17.7826856Z         if user:
2025-03-04T19:47:17.7827273Z             usr_name = user.split(",")[0].strip("@")
2025-03-04T19:47:17.7828049Z             optins[usr_name] = [exp.strip(" ") for exp in user.split(",")[1:]]
2025-03-04T19:47:17.7828518Z 
2025-03-04T19:47:17.7828685Z     return optins
2025-03-04T19:47:17.7828908Z 
2025-03-04T19:47:17.7828914Z 
2025-03-04T19:47:17.7829335Z def is_valid_experiment_name(experiment_name: str) -> bool:
2025-03-04T19:47:17.7830031Z     """
2025-03-04T19:47:17.7830417Z     Check if the experiment name is valid.
2025-03-04T19:47:17.7830917Z     A valid name:
2025-03-04T19:47:17.7831538Z         - Contains only alphanumeric characters and the special characters "_" & "-"
2025-03-04T19:47:17.7832430Z         - The special characters "_" & "-" shouldn't be the first or last characters
2025-03-04T19:47:17.7833112Z         - Cannot contain spaces
2025-03-04T19:47:17.7833551Z     """
2025-03-04T19:47:17.7833748Z 
2025-03-04T19:47:17.7834002Z     valid_char_regex = r"^[a-zA-Z0-9]([\w-]*[a-zA-Z0-9])?$"
2025-03-04T19:47:17.7834671Z     valid = bool(re.match(valid_char_regex, experiment_name))
2025-03-04T19:47:17.7835089Z 
2025-03-04T19:47:17.7835246Z     if valid:
2025-03-04T19:47:17.7835607Z         return True
2025-03-04T19:47:17.7835842Z 
2025-03-04T19:47:17.7836001Z     log.error(
2025-03-04T19:47:17.7837370Z         f"Invalid experiment name: {experiment_name}. Experiment names should only contain alphanumeric characters, '_', and '-'. They cannot contain spaces, and the special characters '_' and '-' cannot be the first or last characters."
2025-03-04T19:47:17.7838868Z     )
2025-03-04T19:47:17.7839325Z     return False
2025-03-04T19:47:17.7839555Z 
2025-03-04T19:47:17.7839562Z 
2025-03-04T19:47:17.7839852Z def parse_settings_from_text(settings_text: str) -> Settings:
2025-03-04T19:47:17.7840434Z     """
2025-03-04T19:47:17.7840982Z     Parse the experiments from the issue body into a list of ExperimentSettings
2025-03-04T19:47:17.7841652Z     """
2025-03-04T19:47:17.7841987Z     try:
2025-03-04T19:47:17.7842339Z         if settings_text:
2025-03-04T19:47:17.7843020Z             # Escape the backtick as well so that we can have the settings in a code block on the GH issue
2025-03-04T19:47:17.7843777Z             # for easy reading
2025-03-04T19:47:17.7844517Z             # Note: Using ascii for the backtick so that the cat step in _runner-determinator.yml doesn't choke on
2025-03-04T19:47:17.7845551Z             #       the backtick character in shell commands.
2025-03-04T19:47:17.7846118Z             backtick = chr(96)  # backtick character
2025-03-04T19:47:17.7846749Z             settings_text = settings_text.strip(f"\r\n\t{backtick} ")
2025-03-04T19:47:17.7847369Z             settings = load_yaml(settings_text)
2025-03-04T19:47:17.7847727Z 
2025-03-04T19:47:17.7848101Z             # For now we just load experiments. We can expand this if/when we add more settings
2025-03-04T19:47:17.7848812Z             experiments = {}
2025-03-04T19:47:17.7849094Z 
2025-03-04T19:47:17.7849531Z             for exp_name, exp_settings in settings.get(SETTING_EXPERIMENTS).items():
2025-03-04T19:47:17.7850244Z                 if not is_valid_experiment_name(exp_name):
2025-03-04T19:47:17.7851292Z                     # Exclude invalid experiments from the list. We log an error, but don't raise an exception so that other experiments can still be processed.
2025-03-04T19:47:17.7852258Z                     continue
2025-03-04T19:47:17.7852539Z 
2025-03-04T19:47:17.7852710Z                 valid_settings = {}
2025-03-04T19:47:17.7853209Z                 for setting in exp_settings:
2025-03-04T19:47:17.7853754Z                     if setting not in Experiment._fields:
2025-03-04T19:47:17.7854281Z                         log.warning(
2025-03-04T19:47:17.7854952Z                             f"Unexpected setting in experiment: {setting} = {exp_settings[setting]}"
2025-03-04T19:47:17.7855623Z                         )
2025-03-04T19:47:17.7856062Z                     else:
2025-03-04T19:47:17.7856551Z                         valid_settings[setting] = exp_settings[setting]
2025-03-04T19:47:17.7856950Z 
2025-03-04T19:47:17.7857208Z                 experiments[exp_name] = Experiment(**valid_settings)
2025-03-04T19:47:17.7857930Z             return Settings(experiments)
2025-03-04T19:47:17.7858269Z 
2025-03-04T19:47:17.7858438Z     except Exception:
2025-03-04T19:47:17.7858888Z         log.exception("Failed to parse settings")
2025-03-04T19:47:17.7859354Z 
2025-03-04T19:47:17.7859516Z     return Settings()
2025-03-04T19:47:17.7859782Z 
2025-03-04T19:47:17.7859788Z 
2025-03-04T19:47:17.7860020Z def parse_settings(rollout_state: str) -> Settings:
2025-03-04T19:47:17.7860555Z     """
2025-03-04T19:47:17.7860960Z     Parse settings, if any, from the rollout state.
2025-03-04T19:47:17.7861336Z 
2025-03-04T19:47:17.7861667Z     If the issue body contains "---" then the text above that is the settings
2025-03-04T19:47:17.7862374Z     and the text below is the list of opted in users.
2025-03-04T19:47:17.7862755Z 
2025-03-04T19:47:17.7863157Z     If it doesn't contain "---" then the settings are empty and the default values are used.
2025-03-04T19:47:17.7863844Z     """
2025-03-04T19:47:17.7864376Z     settings_text, _ = extract_settings_user_opt_in_from_text(rollout_state)
2025-03-04T19:47:17.7865091Z     return parse_settings_from_text(settings_text)
2025-03-04T19:47:17.7865466Z 
2025-03-04T19:47:17.7865472Z 
2025-03-04T19:47:17.7865705Z def parse_users(rollout_state: str) -> UserOptins:
2025-03-04T19:47:17.7866233Z     """
2025-03-04T19:47:17.7866607Z     Parse users from the rollout state.
2025-03-04T19:47:17.7866940Z 
2025-03-04T19:47:17.7867095Z     """
2025-03-04T19:47:17.7867596Z     _, users_text = extract_settings_user_opt_in_from_text(rollout_state)
2025-03-04T19:47:17.7868280Z     return parse_user_opt_in_from_text(users_text)
2025-03-04T19:47:17.7868649Z 
2025-03-04T19:47:17.7868655Z 
2025-03-04T19:47:17.7869039Z def is_user_opted_in(user: str, user_optins: UserOptins, experiment_name: str) -> bool:
2025-03-04T19:47:17.7869829Z     """
2025-03-04T19:47:17.7870215Z     Check if a user is opted into an experiment
2025-03-04T19:47:17.7870713Z     """
2025-03-04T19:47:17.7871140Z     return experiment_name in user_optins.get(user, [])
2025-03-04T19:47:17.7871530Z 
2025-03-04T19:47:17.7871537Z 
2025-03-04T19:47:17.7871929Z def is_user_opted_out(user: str, user_optins: UserOptins, experiment_name: str) -> bool:
2025-03-04T19:47:17.7872775Z     """
2025-03-04T19:47:17.7873206Z     Check if a user explicitly opted out of an experiment
2025-03-04T19:47:17.7873750Z     """
2025-03-04T19:47:17.7874222Z     # if the experiment is prefixed with a "-", then it's an opt-out
2025-03-04T19:47:17.7874863Z     experiment_optout = "-" + experiment_name
2025-03-04T19:47:17.7875456Z     if experiment_optout not in user_optins.get(user, []):
2025-03-04T19:47:17.7876019Z         return False
2025-03-04T19:47:17.7876260Z 
2025-03-04T19:47:17.7876513Z     if is_user_opted_in(user, user_optins, experiment_name):
2025-03-04T19:47:17.7877073Z         log.warning(
2025-03-04T19:47:17.7877824Z             f"User {user} is opted into experiment {experiment_name}, but also opted out of it. Defaulting to opting out"
2025-03-04T19:47:17.7878628Z         )
2025-03-04T19:47:17.7878832Z 
2025-03-04T19:47:17.7878988Z     return True
2025-03-04T19:47:17.7879321Z 
2025-03-04T19:47:17.7879328Z 
2025-03-04T19:47:17.7879495Z def get_runner_prefix(
2025-03-04T19:47:17.7879914Z     rollout_state: str,
2025-03-04T19:47:17.7880348Z     workflow_requestors: Iterable[str],
2025-03-04T19:47:17.7880827Z     branch: str,
2025-03-04T19:47:17.7881287Z     eligible_experiments: frozenset[str] = frozenset(),
2025-03-04T19:47:17.7881852Z     is_canary: bool = False,
2025-03-04T19:47:17.7882287Z ) -> str:
2025-03-04T19:47:17.7882679Z     settings = parse_settings(rollout_state)
2025-03-04T19:47:17.7883218Z     user_optins = parse_users(rollout_state)
2025-03-04T19:47:17.7883573Z 
2025-03-04T19:47:17.7883733Z     fleet_prefix = ""
2025-03-04T19:47:17.7884133Z     prefixes = []
2025-03-04T19:47:17.7884723Z     for experiment_name, experiment_settings in settings.experiments.items():
2025-03-04T19:47:17.7885602Z         if not experiment_settings.all_branches and is_exception_branch(branch):
2025-03-04T19:47:17.7886379Z             log.info(
2025-03-04T19:47:17.7887015Z                 f"Branch {branch} is an exception branch. Not enabling experiment {experiment_name}."
2025-03-04T19:47:17.7887731Z             )
2025-03-04T19:47:17.7888090Z             continue
2025-03-04T19:47:17.7888324Z 
2025-03-04T19:47:17.7888509Z         if eligible_experiments:
2025-03-04T19:47:17.7889032Z             if experiment_name not in eligible_experiments:
2025-03-04T19:47:17.7889724Z                 exp_list = ", ".join(eligible_experiments)
2025-03-04T19:47:17.7890258Z                 log.info(
2025-03-04T19:47:17.7890993Z                     f"Skipping experiment '{experiment_name}', as it is not in the eligible_experiments list: {exp_list}"
2025-03-04T19:47:17.7891779Z                 )
2025-03-04T19:47:17.7892155Z                 continue
2025-03-04T19:47:17.7892600Z         elif not experiment_settings.default:
2025-03-04T19:47:17.7893101Z             log.info(
2025-03-04T19:47:17.7893725Z                 f"Skipping experiment '{experiment_name}', as it is not a default experiment"
2025-03-04T19:47:17.7894418Z             )
2025-03-04T19:47:17.7894770Z             continue
2025-03-04T19:47:17.7894998Z 
2025-03-04T19:47:17.7895263Z         # Is any workflow_requestor opted out to this experiment?
2025-03-04T19:47:17.7895844Z         opted_out_users = [
2025-03-04T19:47:17.7896270Z             requestor
2025-03-04T19:47:17.7896693Z             for requestor in workflow_requestors
2025-03-04T19:47:17.7897318Z             if is_user_opted_out(requestor, user_optins, experiment_name)
2025-03-04T19:47:17.7897911Z         ]
2025-03-04T19:47:17.7898101Z 
2025-03-04T19:47:17.7898270Z         if opted_out_users:
2025-03-04T19:47:17.7898718Z             log.info(
2025-03-04T19:47:17.7899385Z                 f"{', '.join(opted_out_users)} have opted out of experiment {experiment_name}."
2025-03-04T19:47:17.7900051Z             )
2025-03-04T19:47:17.7900410Z             continue
2025-03-04T19:47:17.7900637Z 
2025-03-04T19:47:17.7900894Z         # Is any workflow_requestor opted in to this experiment?
2025-03-04T19:47:17.7901471Z         opted_in_users = [
2025-03-04T19:47:17.7901893Z             requestor
2025-03-04T19:47:17.7902457Z             for requestor in workflow_requestors
2025-03-04T19:47:17.7903091Z             if is_user_opted_in(requestor, user_optins, experiment_name)
2025-03-04T19:47:17.7903664Z         ]
2025-03-04T19:47:17.7903860Z 
2025-03-04T19:47:17.7904022Z         enabled = False
2025-03-04T19:47:17.7904427Z         if opted_in_users:
2025-03-04T19:47:17.7904847Z             log.info(
2025-03-04T19:47:17.7905410Z                 f"{', '.join(opted_in_users)} have opted into experiment {experiment_name}."
2025-03-04T19:47:17.7906036Z             )
2025-03-04T19:47:17.7906405Z             enabled = True
2025-03-04T19:47:17.7906670Z 
2025-03-04T19:47:17.7906871Z         elif experiment_settings.rollout_perc:
2025-03-04T19:47:17.7907652Z             # If no user is opted in, then we randomly enable the experiment based on the rollout percentage
2025-03-04T19:47:17.7908523Z             if random.uniform(0, 100) <= experiment_settings.rollout_perc:
2025-03-04T19:47:17.7909137Z                 log.info(
2025-03-04T19:47:17.7910048Z                     f"Based on rollout percentage of {experiment_settings.rollout_perc}%, enabling experiment {experiment_name}."
2025-03-04T19:47:17.7910914Z                 )
2025-03-04T19:47:17.7911298Z                 enabled = True
2025-03-04T19:47:17.7911578Z 
2025-03-04T19:47:17.7911742Z         if enabled:
2025-03-04T19:47:17.7912144Z             label = experiment_name
2025-03-04T19:47:17.7912657Z             if experiment_name == LF_FLEET_EXPERIMENT:
2025-03-04T19:47:17.7913430Z                 # We give some special treatment to the "lf" experiment since determines the fleet we use
2025-03-04T19:47:17.7914250Z                 #  - If it's enabled, then we always list it's prefix first
2025-03-04T19:47:17.7915081Z                 #  - If we're in the canary branch, then we append ".c" to the lf prefix
2025-03-04T19:47:17.7915711Z                 if is_canary:
2025-03-04T19:47:17.7916172Z                     label += CANARY_FLEET_SUFFIX
2025-03-04T19:47:17.7916688Z                 fleet_prefix = label
2025-03-04T19:47:17.7916853Z             else:
2025-03-04T19:47:17.7917036Z                 prefixes.append(label)
2025-03-04T19:47:17.7917043Z 
2025-03-04T19:47:17.7917220Z     if len(prefixes) > 1:
2025-03-04T19:47:17.7917377Z         log.error(
2025-03-04T19:47:17.7918114Z             f"Only a fleet and one other experiment can be enabled for a job at any time. Enabling {prefixes[0]} and ignoring the rest, which are {', '.join(prefixes[1:])}"
2025-03-04T19:47:17.7918275Z         )
2025-03-04T19:47:17.7918450Z         prefixes = prefixes[:1]
2025-03-04T19:47:17.7918457Z 
2025-03-04T19:47:17.7918638Z     # Fleet always comes first
2025-03-04T19:47:17.7918803Z     if fleet_prefix:
2025-03-04T19:47:17.7918994Z         prefixes.insert(0, fleet_prefix)
2025-03-04T19:47:17.7919000Z 
2025-03-04T19:47:17.7919330Z     return ".".join(prefixes) + "." if prefixes else ""
2025-03-04T19:47:17.7919338Z 
2025-03-04T19:47:17.7919344Z 
2025-03-04T19:47:17.7919765Z def get_rollout_state_from_issue(github_token: str, repo: str, issue_num: int) -> str:
2025-03-04T19:47:17.7919918Z     """
2025-03-04T19:47:17.7920290Z     Gets the first comment of the issue, which contains the desired rollout state.
2025-03-04T19:47:17.7920298Z 
2025-03-04T19:47:17.7920662Z     The default issue we use - https://github.com/pytorch/test-infra/issues/5132
2025-03-04T19:47:17.7920815Z     """
2025-03-04T19:47:17.7920999Z     gh = get_gh_client(github_token)
2025-03-04T19:47:17.7921193Z     issue = get_issue(gh, repo, issue_num)
2025-03-04T19:47:17.7921455Z     return str(issue.get_comments()[0].body.strip("\n\t "))
2025-03-04T19:47:17.7921462Z 
2025-03-04T19:47:17.7921468Z 
2025-03-04T19:47:17.7921835Z def download_json(url: str, headers: dict[str, str], num_retries: int = 3) -> Any:
2025-03-04T19:47:17.7922021Z     for _ in range(num_retries):
2025-03-04T19:47:17.7922179Z         try:
2025-03-04T19:47:17.7922378Z             req = Request(url=url, headers=headers)
2025-03-04T19:47:17.7922655Z             content = urlopen(req, timeout=5).read().decode("utf-8")
2025-03-04T19:47:17.7922958Z             return json.loads(content)
2025-03-04T19:47:17.7923136Z         except Exception as e:
2025-03-04T19:47:17.7923363Z             log.warning(f"Could not download {url}: {e}")
2025-03-04T19:47:17.7923370Z 
2025-03-04T19:47:17.7923720Z     log.warning(f"All {num_retries} retries exhausted, downloading {url} failed")
2025-03-04T19:47:17.7923876Z     return {}
2025-03-04T19:47:17.7923883Z 
2025-03-04T19:47:17.7923888Z 
2025-03-04T19:47:17.7924035Z @cache
2025-03-04T19:47:17.7924437Z def get_pr_info(github_repo: str, github_token: str, pr_number: int) -> dict[str, Any]:
2025-03-04T19:47:17.7924586Z     """
2025-03-04T19:47:17.7924771Z     Dynamically get PR information
2025-03-04T19:47:17.7924918Z     """
2025-03-04T19:47:17.7925223Z     github_api = f"https://api.github.com/repos/{github_repo}"
2025-03-04T19:47:17.7925399Z     headers = {
2025-03-04T19:47:17.7925615Z         "Accept": "application/vnd.github.v3+json",
2025-03-04T19:47:17.7925834Z         "Authorization": f"token {github_token}",
2025-03-04T19:47:17.7925982Z     }
2025-03-04T19:47:17.7926201Z     json_response: dict[str, Any] = download_json(
2025-03-04T19:47:17.7926398Z         url=f"{github_api}/issues/{pr_number}",
2025-03-04T19:47:17.7926560Z         headers=headers,
2025-03-04T19:47:17.7926714Z     )
2025-03-04T19:47:17.7926721Z 
2025-03-04T19:47:17.7926888Z     if not json_response:
2025-03-04T19:47:17.7927170Z         log.warning(f"Failed to get the labels for #{pr_number}")
2025-03-04T19:47:17.7927326Z         return {}
2025-03-04T19:47:17.7927333Z 
2025-03-04T19:47:17.7927502Z     return json_response
2025-03-04T19:47:17.7927513Z 
2025-03-04T19:47:17.7927520Z 
2025-03-04T19:47:17.7927901Z def get_labels(github_repo: str, github_token: str, pr_number: int) -> set[str]:
2025-03-04T19:47:17.7928165Z     """
2025-03-04T19:47:17.7928482Z     Dynamically get the latest list of labels from the pull request
2025-03-04T19:47:17.7928630Z     """
2025-03-04T19:47:17.7928903Z     pr_info = get_pr_info(github_repo, github_token, pr_number)
2025-03-04T19:47:17.7929065Z     return {
2025-03-04T19:47:17.7929502Z         label.get("name") for label in pr_info.get("labels", []) if label.get("name")
2025-03-04T19:47:17.7929663Z     }
2025-03-04T19:47:17.7929672Z 
2025-03-04T19:47:17.7929677Z 
2025-03-04T19:47:17.7929838Z def main() -> None:
2025-03-04T19:47:17.7930010Z     args = parse_args()
2025-03-04T19:47:17.7930016Z 
2025-03-04T19:47:17.7930225Z     runner_label_prefix = DEFAULT_LABEL_PREFIX
2025-03-04T19:47:17.7930232Z 
2025-03-04T19:47:17.7930420Z     # Check if the PR is opt-out
2025-03-04T19:47:17.7930585Z     if args.pr_number:
2025-03-04T19:47:17.7930963Z         labels = get_labels(args.github_repo, args.github_token, int(args.pr_number))
2025-03-04T19:47:17.7931144Z         if OPT_OUT_LABEL in labels:
2025-03-04T19:47:17.7931301Z             log.info(
2025-03-04T19:47:17.7931721Z                 f"Opt-out runner determinator because #{args.pr_number} has {OPT_OUT_LABEL} label"
2025-03-04T19:47:17.7931876Z             )
2025-03-04T19:47:17.7932194Z             set_github_output(GH_OUTPUT_KEY_LABEL_TYPE, runner_label_prefix)
2025-03-04T19:47:17.7932354Z             sys.exit()
2025-03-04T19:47:17.7932360Z 
2025-03-04T19:47:17.7932513Z     try:
2025-03-04T19:47:17.7932734Z         rollout_state = get_rollout_state_from_issue(
2025-03-04T19:47:17.7933025Z             args.github_token, args.github_issue_repo, args.github_issue
2025-03-04T19:47:17.7933183Z         )
2025-03-04T19:47:17.7933190Z 
2025-03-04T19:47:17.7933381Z         username = get_potential_pr_author(
2025-03-04T19:47:17.7933557Z             args.github_token,
2025-03-04T19:47:17.7933726Z             args.github_repo,
2025-03-04T19:47:17.7933894Z             args.github_actor,
2025-03-04T19:47:17.7934082Z             args.github_ref_type,
2025-03-04T19:47:17.7934259Z             args.github_branch,
2025-03-04T19:47:17.7934423Z         )
2025-03-04T19:47:17.7934429Z 
2025-03-04T19:47:17.7934698Z         is_canary = args.github_repo == "pytorch/pytorch-canary"
2025-03-04T19:47:17.7934845Z 
2025-03-04T19:47:17.7935059Z         runner_label_prefix = get_runner_prefix(
2025-03-04T19:47:17.7935224Z             rollout_state,
2025-03-04T19:47:17.7935416Z             (args.github_issue_owner, username),
2025-03-04T19:47:17.7935594Z             args.github_branch,
2025-03-04T19:47:17.7935783Z             args.eligible_experiments,
2025-03-04T19:47:17.7935948Z             is_canary,
2025-03-04T19:47:17.7936094Z         )
2025-03-04T19:47:17.7936102Z 
2025-03-04T19:47:17.7936281Z     except Exception as e:
2025-03-04T19:47:17.7936436Z         log.error(
2025-03-04T19:47:17.7936847Z             f"Failed to get issue. Defaulting to Meta runners and no experiments. Exception: {e}"
2025-03-04T19:47:17.7937033Z         )
2025-03-04T19:47:17.7937040Z 
2025-03-04T19:47:17.7937361Z     set_github_output(GH_OUTPUT_KEY_LABEL_TYPE, runner_label_prefix)
2025-03-04T19:47:17.7937369Z 
2025-03-04T19:47:17.7937374Z 
2025-03-04T19:47:17.7937546Z if __name__ == "__main__":
2025-03-04T19:47:17.7937702Z     main()
2025-03-04T19:47:17.7937709Z 
2025-03-04T19:47:17.8022043Z ##[group]Run python3 -m pip install urllib3==1.26.18 PyGithub==2.3.0
2025-03-04T19:47:17.8022409Z python3 -m pip install urllib3==1.26.18 PyGithub==2.3.0
2025-03-04T19:47:17.8067964Z shell: /usr/bin/bash -e {0}
2025-03-04T19:47:17.8068119Z env:
2025-03-04T19:47:17.8068549Z   GITHUB_TOKEN: ***
2025-03-04T19:47:17.8068712Z   ISSUE_NUMBER: 5132
2025-03-04T19:47:17.8068899Z   TRIGGERING_ACTOR: pytorch-bot[bot]
2025-03-04T19:47:17.8069058Z   ISSUE_OWNER: 
2025-03-04T19:47:17.8069438Z   CHECK_EXPERIMENTS: 
2025-03-04T19:47:17.8069700Z   PR_NUMBER: 
2025-03-04T19:47:17.8069865Z ##[endgroup]
2025-03-04T19:47:18.1849668Z Defaulting to user installation because normal site-packages is not writeable
2025-03-04T19:47:18.5587752Z Collecting urllib3==1.26.18
2025-03-04T19:47:18.8150355Z   Downloading urllib3-1.26.18-py2.py3-none-any.whl.metadata (48 kB)
2025-03-04T19:47:18.8437577Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 48.9/48.9 kB 2.6 MB/s eta 0:00:00
2025-03-04T19:47:18.8654854Z Collecting PyGithub==2.3.0
2025-03-04T19:47:18.8796213Z   Downloading PyGithub-2.3.0-py3-none-any.whl.metadata (3.8 kB)
2025-03-04T19:47:18.9225495Z Collecting pynacl>=1.4.0 (from PyGithub==2.3.0)
2025-03-04T19:47:18.9372658Z   Downloading PyNaCl-1.5.0-cp36-abi3-manylinux_2_17_x86_64.manylinux2014_x86_64.manylinux_2_24_x86_64.whl.metadata (8.6 kB)
2025-03-04T19:47:18.9425490Z Requirement already satisfied: requests>=2.14.0 in /usr/lib/python3/dist-packages (from PyGithub==2.3.0) (2.31.0)
2025-03-04T19:47:18.9445891Z Requirement already satisfied: pyjwt>=2.4.0 in /usr/lib/python3/dist-packages (from pyjwt[crypto]>=2.4.0->PyGithub==2.3.0) (2.7.0)
2025-03-04T19:47:18.9462826Z Requirement already satisfied: typing-extensions>=4.0.0 in /usr/lib/python3/dist-packages (from PyGithub==2.3.0) (4.10.0)
2025-03-04T19:47:18.9713718Z Collecting Deprecated (from PyGithub==2.3.0)
2025-03-04T19:47:18.9872286Z   Downloading Deprecated-1.2.18-py2.py3-none-any.whl.metadata (5.7 kB)
2025-03-04T19:47:19.0119889Z Requirement already satisfied: cryptography>=3.4.0 in /usr/lib/python3/dist-packages (from pyjwt[crypto]>=2.4.0->PyGithub==2.3.0) (41.0.7)
2025-03-04T19:47:19.1232401Z Collecting cffi>=1.4.1 (from pynacl>=1.4.0->PyGithub==2.3.0)
2025-03-04T19:47:19.1375013Z   Downloading cffi-1.17.1-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.metadata (1.5 kB)
2025-03-04T19:47:19.2432384Z Collecting wrapt<2,>=1.10 (from Deprecated->PyGithub==2.3.0)
2025-03-04T19:47:19.2581118Z   Downloading wrapt-1.17.2-cp312-cp312-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl.metadata (6.4 kB)
2025-03-04T19:47:19.2837603Z Collecting pycparser (from cffi>=1.4.1->pynacl>=1.4.0->PyGithub==2.3.0)
2025-03-04T19:47:19.2979453Z   Downloading pycparser-2.22-py3-none-any.whl.metadata (943 bytes)
2025-03-04T19:47:19.3328846Z Downloading urllib3-1.26.18-py2.py3-none-any.whl (143 kB)
2025-03-04T19:47:19.3503009Z    ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 143.8/143.8 kB 8.7 MB/s eta 0:00:00
2025-03-04T19:47:19.3645910Z Downloading PyGithub-2.3.0-py3-none-any.whl (354 kB)
2025-03-04T19:47:19.3826537Z    ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 354.4/354.4 kB 21.1 MB/s eta 0:00:00
2025-03-04T19:47:19.3975931Z Downloading PyNaCl-1.5.0-cp36-abi3-manylinux_2_17_x86_64.manylinux2014_x86_64.manylinux_2_24_x86_64.whl (856 kB)
2025-03-04T19:47:19.4232099Z    ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 856.7/856.7 kB 35.6 MB/s eta 0:00:00
2025-03-04T19:47:19.4376281Z Downloading Deprecated-1.2.18-py2.py3-none-any.whl (10.0 kB)
2025-03-04T19:47:19.4543095Z Downloading cffi-1.17.1-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (479 kB)
2025-03-04T19:47:19.4630758Z    ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 479.4/479.4 kB 68.0 MB/s eta 0:00:00
2025-03-04T19:47:19.4773606Z Downloading wrapt-1.17.2-cp312-cp312-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl (89 kB)
2025-03-04T19:47:19.4817790Z    ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 89.2/89.2 kB 29.3 MB/s eta 0:00:00
2025-03-04T19:47:19.4958750Z Downloading pycparser-2.22-py3-none-any.whl (117 kB)
2025-03-04T19:47:19.5006397Z    ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 117.6/117.6 kB 38.0 MB/s eta 0:00:00
2025-03-04T19:47:19.7894361Z Installing collected packages: wrapt, urllib3, pycparser, Deprecated, cffi, pynacl, PyGithub
2025-03-04T19:47:20.3219523Z Successfully installed Deprecated-1.2.18 PyGithub-2.3.0 cffi-1.17.1 pycparser-2.22 pynacl-1.5.0 urllib3-1.26.18 wrapt-1.17.2
2025-03-04T19:47:20.4156845Z ##[group]Run curr_branch="ciflow/inductor/148205"
2025-03-04T19:47:20.4157252Z curr_branch="ciflow/inductor/148205"
2025-03-04T19:47:20.4157547Z curr_ref_type="tag"
2025-03-04T19:47:20.4157813Z echo "Current branch is '$curr_branch'"
2025-03-04T19:47:20.4158077Z 
2025-03-04T19:47:20.4158274Z python3 runner_determinator.py \
2025-03-04T19:47:20.4158564Z   --github-token "$GITHUB_TOKEN" \
2025-03-04T19:47:20.4158876Z   --github-issue "$ISSUE_NUMBER" \
2025-03-04T19:47:20.4159149Z   --github-branch "$curr_branch" \
2025-03-04T19:47:20.4159647Z   --github-actor "$TRIGGERING_ACTOR" \
2025-03-04T19:47:20.4159941Z   --github-issue-owner "$ISSUE_OWNER" \
2025-03-04T19:47:20.4160230Z   --github-ref-type "$curr_ref_type" \
2025-03-04T19:47:20.4160525Z   --github-repo "$GITHUB_REPOSITORY" \
2025-03-04T19:47:20.4160872Z   --eligible-experiments "$CHECK_EXPERIMENTS" \
2025-03-04T19:47:20.4161174Z   --pr-number "${PR_NUMBER}"
2025-03-04T19:47:20.4209114Z shell: /usr/bin/bash -e {0}
2025-03-04T19:47:20.4209530Z env:
2025-03-04T19:47:20.4210163Z   GITHUB_TOKEN: ***
2025-03-04T19:47:20.4210372Z   ISSUE_NUMBER: 5132
2025-03-04T19:47:20.4210589Z   TRIGGERING_ACTOR: pytorch-bot[bot]
2025-03-04T19:47:20.4210839Z   ISSUE_OWNER: 
2025-03-04T19:47:20.4211029Z   CHECK_EXPERIMENTS: 
2025-03-04T19:47:20.4211221Z   PR_NUMBER: 
2025-03-04T19:47:20.4211429Z ##[endgroup]
2025-03-04T19:47:20.4281653Z Current branch is 'ciflow/inductor/148205'
2025-03-04T19:47:22.4432006Z INFO    : Based on rollout percentage of 55%, enabling experiment lf.
2025-03-04T19:47:22.4433502Z INFO    : Skipping experiment 'awsa100', as it is not a default experiment
2025-03-04T19:47:22.4434511Z INFO    : Setting output: label-type='lf.'
2025-03-04T19:47:22.4839946Z Evaluate and set job outputs
2025-03-04T19:47:22.4847716Z Set output 'label-type'
2025-03-04T19:47:22.4849890Z Cleaning up orphan processes