2025-01-24T00:44:51.8489895Z Current runner version: '2.321.0'
2025-01-24T00:44:51.8515760Z ##[group]Operating System
2025-01-24T00:44:51.8516873Z Ubuntu
2025-01-24T00:44:51.8517368Z 24.04.1
2025-01-24T00:44:51.8517904Z LTS
2025-01-24T00:44:51.8518397Z ##[endgroup]
2025-01-24T00:44:51.8518962Z ##[group]Runner Image
2025-01-24T00:44:51.8519550Z Image: ubuntu-24.04
2025-01-24T00:44:51.8520067Z Version: 20250120.5.0
2025-01-24T00:44:51.8521104Z Included Software: https://github.com/actions/runner-images/blob/ubuntu24/20250120.5/images/ubuntu/Ubuntu2404-Readme.md
2025-01-24T00:44:51.8522444Z Image Release: https://github.com/actions/runner-images/releases/tag/ubuntu24%2F20250120.5
2025-01-24T00:44:51.8523371Z ##[endgroup]
2025-01-24T00:44:51.8523867Z ##[group]Runner Image Provisioner
2025-01-24T00:44:51.8524440Z 2.0.417.1
2025-01-24T00:44:51.8524949Z ##[endgroup]
2025-01-24T00:44:51.8525999Z ##[group]GITHUB_TOKEN Permissions
2025-01-24T00:44:51.8528117Z Contents: read
2025-01-24T00:44:51.8528776Z Metadata: read
2025-01-24T00:44:51.8529455Z Packages: read
2025-01-24T00:44:51.8530124Z ##[endgroup]
2025-01-24T00:44:51.8533424Z Secret source: Actions
2025-01-24T00:44:51.8534176Z Prepare workflow directory
2025-01-24T00:44:51.9024310Z Prepare all required actions
2025-01-24T00:44:51.9078839Z Uses: pytorch/pytorch/.github/workflows/_runner-determinator.yml@refs/heads/main (b2c89bc115123aea8e075e882ee121537ec92f89)
2025-01-24T00:44:51.9084038Z ##[group] Inputs
2025-01-24T00:44:51.9084618Z   check_experiments: 
2025-01-24T00:44:51.9085319Z   triggering_actor: pytorch-bot[bot]
2025-01-24T00:44:51.9085955Z   issue_owner: 
2025-01-24T00:44:51.9086616Z   curr_branch: ciflow/trunk/145539
2025-01-24T00:44:51.9087333Z   curr_ref_type: tag
2025-01-24T00:44:51.9087875Z   issue_number: 5132
2025-01-24T00:44:51.9088363Z ##[endgroup]
2025-01-24T00:44:51.9089031Z Complete job name: get-label-type / runner-determinator
2025-01-24T00:44:51.9816799Z ##[group]Run cat <<EOF > runner_determinator.py
2025-01-24T00:44:51.9818428Z cat <<EOF > runner_determinator.py
2025-01-24T00:44:51.9819015Z # flake8: noqa: G004
2025-01-24T00:44:51.9819471Z 
2025-01-24T00:44:51.9820109Z # Note: Copies of this script in runner_determinator.py and _runner-determinator.yml
2025-01-24T00:44:51.9821073Z #       must be kept in sync. You can do it easily by running the following command:
2025-01-24T00:44:51.9821884Z #           python .github/scripts/update_runner_determinator.py
2025-01-24T00:44:51.9822492Z 
2025-01-24T00:44:51.9822835Z """
2025-01-24T00:44:51.9823450Z This runner determinator is used to determine which set of runners to run a
2025-01-24T00:44:51.9824354Z GitHub job on. It uses the first comment of a GitHub issue (by default
2025-01-24T00:44:51.9825313Z https://github.com/pytorch/test-infra/issues/5132) to define the configuration
2025-01-24T00:44:51.9826151Z of which runners should be used to run which job.
2025-01-24T00:44:51.9826903Z 
2025-01-24T00:44:51.9827515Z The configuration has two parts, the settings and a list of opted-in users,
2025-01-24T00:44:51.9828435Z separated by a line containing "---".  If the line is not present, the
2025-01-24T00:44:51.9829338Z settings are considered to be empty with only the second part, the user
2025-01-24T00:44:51.9830044Z list, defined.
2025-01-24T00:44:51.9830463Z 
2025-01-24T00:44:51.9831042Z The first part is a YAML block that defines the rollout settings. This can be
2025-01-24T00:44:51.9831992Z used to define any settings that are needed to determine which runners to use.
2025-01-24T00:44:51.9832858Z It's fields are defined by the RolloutSettings class below.
2025-01-24T00:44:51.9833470Z 
2025-01-24T00:44:51.9834066Z The second part is a list of users who are explicitly opted in to the LF fleet.
2025-01-24T00:44:51.9834964Z The user list is also a comma separated list of additional features or
2025-01-24T00:44:51.9836122Z experiments which the user could be opted in to.
2025-01-24T00:44:51.9836913Z 
2025-01-24T00:44:51.9837326Z The user list has the following rules:
2025-01-24T00:44:51.9837843Z 
2025-01-24T00:44:51.9838377Z - Users are GitHub usernames, which must start with the @ prefix
2025-01-24T00:44:51.9839236Z - Each user is also a comma-separated list of features/experiments to enable
2025-01-24T00:44:51.9840024Z - A "#" prefix opts the user out of all experiments
2025-01-24T00:44:51.9840588Z 
2025-01-24T00:44:51.9840955Z Example config:
2025-01-24T00:44:51.9841459Z     # A list of experiments that can be opted into.
2025-01-24T00:44:51.9842152Z     # This defines the behavior they'll induce when opted into.
2025-01-24T00:44:51.9842799Z     # Expected syntax is:
2025-01-24T00:44:51.9843492Z     #   [experiment_name]: # Name of the experiment. Also used for the label prefix.
2025-01-24T00:44:51.9844468Z     #      rollout_perc: [int] # % of workflows to run with this experiment when users are not opted in.
2025-01-24T00:44:51.9845227Z 
2025-01-24T00:44:51.9845583Z     experiments:
2025-01-24T00:44:51.9845999Z       lf:
2025-01-24T00:44:51.9846507Z         rollout_percent: 25
2025-01-24T00:44:51.9847008Z         all_branches: false
2025-01-24T00:44:51.9847500Z         default: true
2025-01-24T00:44:51.9847964Z     ---
2025-01-24T00:44:51.9848350Z 
2025-01-24T00:44:51.9848714Z     # Opt-ins:
2025-01-24T00:44:51.9849368Z     # Users can opt into the LF fleet by adding their GitHub username to this list
2025-01-24T00:44:51.9850427Z     # and specifying experiments to enable in a comma-separated list.
2025-01-24T00:44:51.9851244Z     # To always opt out of an experiment, prefix it with a "-".
2025-01-24T00:44:51.9851946Z     # Experiments should be from the above list.
2025-01-24T00:44:51.9852501Z 
2025-01-24T00:44:51.9852881Z     @User1,-lf,split_build
2025-01-24T00:44:51.9853379Z     @User2,lf
2025-01-24T00:44:51.9853804Z     @User3,split_build
2025-01-24T00:44:51.9854259Z """
2025-01-24T00:44:51.9854623Z 
2025-01-24T00:44:51.9854983Z import json
2025-01-24T00:44:51.9855390Z import logging
2025-01-24T00:44:51.9855810Z import os
2025-01-24T00:44:51.9856209Z import random
2025-01-24T00:44:51.9856739Z import re
2025-01-24T00:44:51.9857190Z import sys
2025-01-24T00:44:51.9857702Z from argparse import ArgumentParser
2025-01-24T00:44:51.9858264Z from functools import lru_cache
2025-01-24T00:44:51.9858797Z from logging import LogRecord
2025-01-24T00:44:51.9859537Z from typing import Any, Dict, FrozenSet, Iterable, List, NamedTuple, Set, Tuple
2025-01-24T00:44:51.9860350Z from urllib.request import Request, urlopen
2025-01-24T00:44:51.9860893Z 
2025-01-24T00:44:51.9861254Z import yaml
2025-01-24T00:44:51.9861685Z from github import Auth, Github
2025-01-24T00:44:51.9862210Z from github.Issue import Issue
2025-01-24T00:44:51.9862703Z 
2025-01-24T00:44:51.9863054Z 
2025-01-24T00:44:51.9863480Z DEFAULT_LABEL_PREFIX = ""  # use meta runners
2025-01-24T00:44:51.9864213Z WORKFLOW_LABEL_LF = "lf."  # use runners from the linux foundation
2025-01-24T00:44:51.9865107Z WORKFLOW_LABEL_LF_CANARY = "lf.c."  # use canary runners from the linux foundation
2025-01-24T00:44:51.9865804Z 
2025-01-24T00:44:51.9866250Z GITHUB_OUTPUT = os.getenv("GITHUB_OUTPUT", "")
2025-01-24T00:44:51.9866978Z GH_OUTPUT_KEY_AMI = "runner-ami"
2025-01-24T00:44:51.9867536Z GH_OUTPUT_KEY_LABEL_TYPE = "label-type"
2025-01-24T00:44:51.9868315Z OPT_OUT_LABEL = "no-runner-experiments"
2025-01-24T00:44:51.9868848Z 
2025-01-24T00:44:51.9869244Z SETTING_EXPERIMENTS = "experiments"
2025-01-24T00:44:51.9869750Z 
2025-01-24T00:44:51.9870117Z LF_FLEET_EXPERIMENT = "lf"
2025-01-24T00:44:51.9870612Z CANARY_FLEET_SUFFIX = ".c"
2025-01-24T00:44:51.9871082Z 
2025-01-24T00:44:51.9871428Z 
2025-01-24T00:44:51.9871800Z class Experiment(NamedTuple):
2025-01-24T00:44:51.9872318Z     rollout_perc: float = (
2025-01-24T00:44:51.9873013Z         0  # Percentage of workflows to experiment on when user is not opted-in.
2025-01-24T00:44:51.9873690Z     )
2025-01-24T00:44:51.9874088Z     all_branches: bool = (
2025-01-24T00:44:51.9874774Z         False  # If True, the experiment is also enabled on the exception branches
2025-01-24T00:44:51.9875452Z     )
2025-01-24T00:44:51.9875844Z     default: bool = (
2025-01-24T00:44:51.9876644Z         True  # If True, the experiment is enabled by default for all queries
2025-01-24T00:44:51.9877300Z     )
2025-01-24T00:44:51.9877668Z 
2025-01-24T00:44:51.9878050Z     # Add more fields as needed
2025-01-24T00:44:51.9878535Z 
2025-01-24T00:44:51.9878881Z 
2025-01-24T00:44:51.9879260Z class Settings(NamedTuple):
2025-01-24T00:44:51.9879754Z     """
2025-01-24T00:44:51.9880263Z     Settings for the experiments that can be opted into.
2025-01-24T00:44:51.9880856Z     """
2025-01-24T00:44:51.9881225Z 
2025-01-24T00:44:51.9881639Z     experiments: Dict[str, Experiment] = {}
2025-01-24T00:44:51.9882167Z 
2025-01-24T00:44:51.9882507Z 
2025-01-24T00:44:51.9883116Z class ColorFormatter(logging.Formatter):
2025-01-24T00:44:51.9883802Z     """Color codes the log messages based on the log level"""
2025-01-24T00:44:51.9884401Z 
2025-01-24T00:44:51.9884760Z     COLORS = {
2025-01-24T00:44:51.9885217Z         "WARNING": "\033[33m",  # Yellow
2025-01-24T00:44:51.9885742Z         "ERROR": "\033[31m",  # Red
2025-01-24T00:44:51.9886262Z         "CRITICAL": "\033[31m",  # Red
2025-01-24T00:44:51.9886920Z         "INFO": "\033[0m",  # Reset
2025-01-24T00:44:51.9887439Z         "DEBUG": "\033[0m",  # Reset
2025-01-24T00:44:51.9887934Z     }
2025-01-24T00:44:51.9888302Z 
2025-01-24T00:44:51.9888730Z     def format(self, record: LogRecord) -> str:
2025-01-24T00:44:51.9889758Z         log_color = self.COLORS.get(record.levelname, "\033[0m")  # Default to reset
2025-01-24T00:44:51.9890567Z         record.msg = f"{log_color}{record.msg}\033[0m"
2025-01-24T00:44:51.9891156Z         return super().format(record)
2025-01-24T00:44:51.9891668Z 
2025-01-24T00:44:51.9892018Z 
2025-01-24T00:44:51.9892406Z handler = logging.StreamHandler()
2025-01-24T00:44:51.9893170Z handler.setFormatter(ColorFormatter(fmt="%(levelname)-8s: %(message)s"))
2025-01-24T00:44:51.9893893Z 
2025-01-24T00:44:51.9894352Z log = logging.getLogger(os.path.basename(__file__))
2025-01-24T00:44:51.9894958Z log.addHandler(handler)
2025-01-24T00:44:51.9895451Z log.setLevel(logging.INFO)
2025-01-24T00:44:51.9895927Z 
2025-01-24T00:44:51.9896279Z 
2025-01-24T00:44:51.9896851Z def set_github_output(key: str, value: str) -> None:
2025-01-24T00:44:51.9897432Z     """
2025-01-24T00:44:51.9897973Z     Defines outputs of the github action that invokes this script
2025-01-24T00:44:51.9898609Z     """
2025-01-24T00:44:51.9899006Z     if not GITHUB_OUTPUT:
2025-01-24T00:44:51.9900110Z         # See https://github.blog/changelog/2022-10-11-github-actions-deprecating-save-state-and-set-output-commands/ for deprecation notice
2025-01-24T00:44:51.9901461Z         log.warning(
2025-01-24T00:44:51.9902610Z             "No env var found for GITHUB_OUTPUT, you must be running this code locally. Falling back to the deprecated print method."
2025-01-24T00:44:51.9903526Z         )
2025-01-24T00:44:51.9903995Z         print(f"::set-output name={key}::{value}")
2025-01-24T00:44:51.9904555Z         return
2025-01-24T00:44:51.9904962Z 
2025-01-24T00:44:51.9905395Z     with open(GITHUB_OUTPUT, "a") as f:
2025-01-24T00:44:51.9906003Z         log.info(f"Setting output: {key}='{value}'")
2025-01-24T00:44:51.9906722Z         f.write(f"{key}={value}\n")
2025-01-24T00:44:51.9907221Z 
2025-01-24T00:44:51.9907574Z 
2025-01-24T00:44:51.9908087Z def _str_comma_separated_to_set(value: str) -> FrozenSet[str]:
2025-01-24T00:44:51.9908744Z     return frozenset(
2025-01-24T00:44:51.9909408Z         filter(lambda itm: itm != "", map(str.strip, value.strip(" \n\t").split(",")))
2025-01-24T00:44:51.9910079Z     )
2025-01-24T00:44:51.9910452Z 
2025-01-24T00:44:51.9910797Z 
2025-01-24T00:44:51.9911165Z def parse_args() -> Any:
2025-01-24T00:44:51.9911783Z     parser = ArgumentParser("Get dynamic rollout settings")
2025-01-24T00:44:51.9912668Z     parser.add_argument("--github-token", type=str, required=True, help="GitHub token")
2025-01-24T00:44:51.9913429Z     parser.add_argument(
2025-01-24T00:44:51.9913925Z         "--github-issue-repo",
2025-01-24T00:44:51.9914425Z         type=str,
2025-01-24T00:44:51.9914868Z         required=False,
2025-01-24T00:44:51.9915491Z         default="pytorch/test-infra",
2025-01-24T00:44:51.9916075Z         help="GitHub repo to get the issue",
2025-01-24T00:44:51.9916738Z     )
2025-01-24T00:44:51.9917133Z     parser.add_argument(
2025-01-24T00:44:51.9917613Z         "--github-repo",
2025-01-24T00:44:51.9918079Z         type=str,
2025-01-24T00:44:51.9918517Z         required=True,
2025-01-24T00:44:51.9919030Z         help="GitHub repo where CI is running",
2025-01-24T00:44:51.9919555Z     )
2025-01-24T00:44:51.9919947Z     parser.add_argument(
2025-01-24T00:44:51.9920599Z         "--github-issue", type=int, required=True, help="GitHub issue number"
2025-01-24T00:44:51.9921257Z     )
2025-01-24T00:44:51.9921644Z     parser.add_argument(
2025-01-24T00:44:51.9922319Z         "--github-actor", type=str, required=True, help="GitHub triggering_actor"
2025-01-24T00:44:51.9922990Z     )
2025-01-24T00:44:51.9923385Z     parser.add_argument(
2025-01-24T00:44:51.9924061Z         "--github-issue-owner", type=str, required=True, help="GitHub issue owner"
2025-01-24T00:44:51.9924749Z     )
2025-01-24T00:44:51.9925141Z     parser.add_argument(
2025-01-24T00:44:51.9925839Z         "--github-branch", type=str, required=True, help="Current GitHub branch or tag"
2025-01-24T00:44:51.9926649Z     )
2025-01-24T00:44:51.9927031Z     parser.add_argument(
2025-01-24T00:44:51.9927546Z         "--github-ref-type",
2025-01-24T00:44:51.9928031Z         type=str,
2025-01-24T00:44:51.9928469Z         required=True,
2025-01-24T00:44:51.9929020Z         help="Current GitHub ref type, branch or tag",
2025-01-24T00:44:51.9929574Z     )
2025-01-24T00:44:51.9929962Z     parser.add_argument(
2025-01-24T00:44:51.9930455Z         "--eligible-experiments",
2025-01-24T00:44:51.9931004Z         type=_str_comma_separated_to_set,
2025-01-24T00:44:51.9931537Z         required=False,
2025-01-24T00:44:51.9931993Z         default="",
2025-01-24T00:44:51.9933029Z         help="comma separated list of experiments to check, if omitted all experiments marked with default=True are checked",
2025-01-24T00:44:51.9933960Z     )
2025-01-24T00:44:51.9934344Z     parser.add_argument(
2025-01-24T00:44:51.9934823Z         "--pr-number",
2025-01-24T00:44:51.9935284Z         type=str,
2025-01-24T00:44:51.9935724Z         required=False,
2025-01-24T00:44:51.9936190Z         default="",
2025-01-24T00:44:51.9936835Z         help="the optional PR number where this is run",
2025-01-24T00:44:51.9937399Z     )
2025-01-24T00:44:51.9937767Z 
2025-01-24T00:44:51.9938149Z     return parser.parse_args()
2025-01-24T00:44:51.9938636Z 
2025-01-24T00:44:51.9938985Z 
2025-01-24T00:44:51.9939426Z def get_gh_client(github_token: str) -> Github:
2025-01-24T00:44:51.9940016Z     auth = Auth.Token(github_token)
2025-01-24T00:44:51.9940541Z     return Github(auth=auth)
2025-01-24T00:44:51.9941012Z 
2025-01-24T00:44:51.9941347Z 
2025-01-24T00:44:51.9941855Z def get_issue(gh: Github, repo: str, issue_num: int) -> Issue:
2025-01-24T00:44:51.9942510Z     repo = gh.get_repo(repo)
2025-01-24T00:44:51.9943045Z     return repo.get_issue(number=issue_num)
2025-01-24T00:44:51.9943579Z 
2025-01-24T00:44:51.9943921Z 
2025-01-24T00:44:51.9944289Z def get_potential_pr_author(
2025-01-24T00:44:51.9944972Z     github_token: str, repo: str, username: str, ref_type: str, ref_name: str
2025-01-24T00:44:51.9945647Z ) -> str:
2025-01-24T00:44:51.9946200Z     # If the trigger was a new tag added by a bot, this is a ciflow case
2025-01-24T00:44:51.9947273Z     # Fetch the actual username from the original PR. The PR number is
2025-01-24T00:44:51.9948052Z     # embedded in the tag name: ciflow/<name>/<pr-number>
2025-01-24T00:44:51.9948632Z 
2025-01-24T00:44:51.9949018Z     gh = get_gh_client(github_token)
2025-01-24T00:44:51.9949523Z 
2025-01-24T00:44:51.9949997Z     if username == "pytorch-bot[bot]" and ref_type == "tag":
2025-01-24T00:44:51.9950632Z         split_tag = ref_name.split("/")
2025-01-24T00:44:51.9951155Z         if (
2025-01-24T00:44:51.9951571Z             len(split_tag) == 3
2025-01-24T00:44:51.9952082Z             and split_tag[0] == "ciflow"
2025-01-24T00:44:51.9952627Z             and split_tag[2].isnumeric()
2025-01-24T00:44:51.9953137Z         ):
2025-01-24T00:44:51.9953559Z             pr_number = split_tag[2]
2025-01-24T00:44:51.9954061Z             try:
2025-01-24T00:44:51.9954541Z                 repository = gh.get_repo(repo)
2025-01-24T00:44:51.9955170Z                 pull = repository.get_pull(number=int(pr_number))
2025-01-24T00:44:51.9955793Z             except Exception as e:
2025-01-24T00:44:51.9956345Z                 raise Exception(  # noqa: TRY002
2025-01-24T00:44:51.9957172Z                     f"issue with pull request {pr_number} from repo {repository}"
2025-01-24T00:44:51.9957826Z                 ) from e
2025-01-24T00:44:51.9958332Z             return pull.user.login
2025-01-24T00:44:51.9958934Z     # In all other cases, return the original input username
2025-01-24T00:44:51.9959532Z     return username
2025-01-24T00:44:51.9959964Z 
2025-01-24T00:44:51.9960296Z 
2025-01-24T00:44:51.9960723Z def is_exception_branch(branch: str) -> bool:
2025-01-24T00:44:51.9961264Z     """
2025-01-24T00:44:51.9961937Z     Branches that get opted out of experiments by default, until they're explicitly enabled.
2025-01-24T00:44:51.9962712Z     """
2025-01-24T00:44:51.9963417Z     return branch.split("/")[0] in {"main", "nightly", "release", "landchecks"}
2025-01-24T00:44:51.9964083Z 
2025-01-24T00:44:51.9964422Z 
2025-01-24T00:44:51.9964816Z def load_yaml(yaml_text: str) -> Any:
2025-01-24T00:44:51.9965323Z     try:
2025-01-24T00:44:51.9965744Z         data = yaml.safe_load(yaml_text)
2025-01-24T00:44:51.9966264Z         return data
2025-01-24T00:44:51.9966831Z     except yaml.YAMLError:
2025-01-24T00:44:51.9967361Z         log.exception("Error loading YAML")
2025-01-24T00:44:51.9967882Z         raise
2025-01-24T00:44:51.9968280Z 
2025-01-24T00:44:51.9968618Z 
2025-01-24T00:44:51.9969234Z def extract_settings_user_opt_in_from_text(rollout_state: str) -> Tuple[str, str]:
2025-01-24T00:44:51.9969975Z     """
2025-01-24T00:44:51.9970621Z     Extracts the text with settings, if any, and the opted in users from the rollout state.
2025-01-24T00:44:51.9971365Z 
2025-01-24T00:44:51.9971907Z     If the issue body contains "---" then the text above that is the settings
2025-01-24T00:44:51.9972669Z     and the text below is the list of opted in users.
2025-01-24T00:44:51.9973224Z 
2025-01-24T00:44:51.9973793Z     If it doesn't contain "---" then the settings are empty and the rest is the users.
2025-01-24T00:44:51.9974481Z     """
2025-01-24T00:44:51.9974954Z     rollout_state_parts = rollout_state.split("---")
2025-01-24T00:44:51.9975561Z     if len(rollout_state_parts) >= 2:
2025-01-24T00:44:51.9976185Z         return rollout_state_parts[0], rollout_state_parts[1]
2025-01-24T00:44:51.9976883Z     else:
2025-01-24T00:44:51.9977435Z         return "", rollout_state
2025-01-24T00:44:51.9977913Z 
2025-01-24T00:44:51.9978248Z 
2025-01-24T00:44:51.9978646Z class UserOptins(Dict[str, List[str]]):
2025-01-24T00:44:51.9979164Z     """
2025-01-24T00:44:51.9979712Z     Dictionary of users with a list of features they have opted into
2025-01-24T00:44:51.9980350Z     """
2025-01-24T00:44:51.9980706Z 
2025-01-24T00:44:51.9981040Z 
2025-01-24T00:44:51.9981573Z def parse_user_opt_in_from_text(user_optin_text: str) -> UserOptins:
2025-01-24T00:44:51.9982219Z     """
2025-01-24T00:44:51.9982950Z     Parse the user opt-in text into a key value pair of username and the list of features they have opted into
2025-01-24T00:44:51.9983769Z 
2025-01-24T00:44:51.9984555Z     Users are GitHub usernames with the @ prefix. Each user is also a comma-separated list of features/experiments to enable.
2025-01-24T00:44:51.9985538Z         - Example line: "@User1,lf,split_build"
2025-01-24T00:44:51.9986238Z         - A "#" prefix indicates the user is opted out of all experiments
2025-01-24T00:44:51.9987007Z 
2025-01-24T00:44:51.9987339Z 
2025-01-24T00:44:51.9987675Z     """
2025-01-24T00:44:51.9988057Z     optins = UserOptins()
2025-01-24T00:44:51.9988585Z     for user in user_optin_text.split("\n"):
2025-01-24T00:44:51.9989152Z         user = user.strip("\r\n\t -")
2025-01-24T00:44:51.9989719Z         if not user or not user.startswith("@"):
2025-01-24T00:44:51.9990274Z             # Not a valid user. Skip
2025-01-24T00:44:51.9990777Z             continue
2025-01-24T00:44:51.9991199Z 
2025-01-24T00:44:51.9991537Z         if user:
2025-01-24T00:44:51.9992014Z             usr_name = user.split(",")[0].strip("@")
2025-01-24T00:44:51.9992713Z             optins[usr_name] = [exp.strip(" ") for exp in user.split(",")[1:]]
2025-01-24T00:44:51.9993341Z 
2025-01-24T00:44:51.9993691Z     return optins
2025-01-24T00:44:51.9994247Z 
2025-01-24T00:44:51.9994577Z 
2025-01-24T00:44:51.9995076Z def is_valid_experiment_name(experiment_name: str) -> bool:
2025-01-24T00:44:51.9995690Z     """
2025-01-24T00:44:51.9996114Z     Check if the experiment name is valid.
2025-01-24T00:44:51.9996781Z     A valid name:
2025-01-24T00:44:51.9997463Z         - Contains only alphanumeric characters and the special characters "_" & "-"
2025-01-24T00:44:51.9998388Z         - The special characters "_" & "-" shouldn't be the first or last characters
2025-01-24T00:44:51.9999086Z         - Cannot contain spaces
2025-01-24T00:44:51.9999571Z     """
2025-01-24T00:44:51.9999929Z 
2025-01-24T00:44:52.0000391Z     valid_char_regex = r"^[a-zA-Z0-9]([\w-]*[a-zA-Z0-9])?$"
2025-01-24T00:44:52.0001113Z     valid = bool(re.match(valid_char_regex, experiment_name))
2025-01-24T00:44:52.0001702Z 
2025-01-24T00:44:52.0002053Z     if valid:
2025-01-24T00:44:52.0002464Z         return True
2025-01-24T00:44:52.0002881Z 
2025-01-24T00:44:52.0003230Z     log.error(
2025-01-24T00:44:52.0004654Z         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."
2025-01-24T00:44:52.0006177Z     )
2025-01-24T00:44:52.0006645Z     return False
2025-01-24T00:44:52.0007055Z 
2025-01-24T00:44:52.0007378Z 
2025-01-24T00:44:52.0007888Z def parse_settings_from_text(settings_text: str) -> Settings:
2025-01-24T00:44:52.0008517Z     """
2025-01-24T00:44:52.0009255Z     Parse the experiments from the issue body into a list of ExperimentSettings
2025-01-24T00:44:52.0009973Z     """
2025-01-24T00:44:52.0010339Z     try:
2025-01-24T00:44:52.0010720Z         if settings_text:
2025-01-24T00:44:52.0011477Z             # Escape the backtick as well so that we can have the settings in a code block on the GH issue
2025-01-24T00:44:52.0012258Z             # for easy reading
2025-01-24T00:44:52.0013072Z             # Note: Using ascii for the backtick so that the cat step in _runner-determinator.yml doesn't choke on
2025-01-24T00:44:52.0013951Z             #       the backtick character in shell commands.
2025-01-24T00:44:52.0014565Z             backtick = chr(96)  # backtick character
2025-01-24T00:44:52.0015260Z             settings_text = settings_text.strip(f"\r\n\t{backtick} ")
2025-01-24T00:44:52.0015922Z             settings = load_yaml(settings_text)
2025-01-24T00:44:52.0016558Z 
2025-01-24T00:44:52.0017176Z             # For now we just load experiments. We can expand this if/when we add more settings
2025-01-24T00:44:52.0017910Z             experiments = {}
2025-01-24T00:44:52.0018375Z 
2025-01-24T00:44:52.0018937Z             for exp_name, exp_settings in settings.get(SETTING_EXPERIMENTS).items():
2025-01-24T00:44:52.0019695Z                 if not is_valid_experiment_name(exp_name):
2025-01-24T00:44:52.0020778Z                     # Exclude invalid experiments from the list. We log an error, but don't raise an exception so that other experiments can still be processed.
2025-01-24T00:44:52.0021792Z                     continue
2025-01-24T00:44:52.0022248Z 
2025-01-24T00:44:52.0022614Z                 valid_settings = {}
2025-01-24T00:44:52.0023152Z                 for setting in exp_settings:
2025-01-24T00:44:52.0023734Z                     if setting not in Experiment._fields:
2025-01-24T00:44:52.0024296Z                         log.warning(
2025-01-24T00:44:52.0025011Z                             f"Unexpected setting in experiment: {setting} = {exp_settings[setting]}"
2025-01-24T00:44:52.0025855Z                         )
2025-01-24T00:44:52.0026304Z                     else:
2025-01-24T00:44:52.0026988Z                         valid_settings[setting] = exp_settings[setting]
2025-01-24T00:44:52.0027554Z 
2025-01-24T00:44:52.0028025Z                 experiments[exp_name] = Experiment(**valid_settings)
2025-01-24T00:44:52.0028662Z             return Settings(experiments)
2025-01-24T00:44:52.0029169Z 
2025-01-24T00:44:52.0029524Z     except Exception:
2025-01-24T00:44:52.0030042Z         log.exception("Failed to parse settings")
2025-01-24T00:44:52.0030579Z 
2025-01-24T00:44:52.0030935Z     return Settings()
2025-01-24T00:44:52.0031365Z 
2025-01-24T00:44:52.0031706Z 
2025-01-24T00:44:52.0032154Z def parse_settings(rollout_state: str) -> Settings:
2025-01-24T00:44:52.0032742Z     """
2025-01-24T00:44:52.0033207Z     Parse settings, if any, from the rollout state.
2025-01-24T00:44:52.0033747Z 
2025-01-24T00:44:52.0034283Z     If the issue body contains "---" then the text above that is the settings
2025-01-24T00:44:52.0035048Z     and the text below is the list of opted in users.
2025-01-24T00:44:52.0035597Z 
2025-01-24T00:44:52.0036191Z     If it doesn't contain "---" then the settings are empty and the default values are used.
2025-01-24T00:44:52.0037038Z     """
2025-01-24T00:44:52.0037614Z     settings_text, _ = extract_settings_user_opt_in_from_text(rollout_state)
2025-01-24T00:44:52.0038371Z     return parse_settings_from_text(settings_text)
2025-01-24T00:44:52.0038923Z 
2025-01-24T00:44:52.0039385Z 
2025-01-24T00:44:52.0039840Z def parse_users(rollout_state: str) -> UserOptins:
2025-01-24T00:44:52.0040416Z     """
2025-01-24T00:44:52.0040841Z     Parse users from the rollout state.
2025-01-24T00:44:52.0041341Z 
2025-01-24T00:44:52.0041683Z     """
2025-01-24T00:44:52.0042244Z     _, users_text = extract_settings_user_opt_in_from_text(rollout_state)
2025-01-24T00:44:52.0042990Z     return parse_user_opt_in_from_text(users_text)
2025-01-24T00:44:52.0043538Z 
2025-01-24T00:44:52.0043874Z 
2025-01-24T00:44:52.0044493Z def is_user_opted_in(user: str, user_optins: UserOptins, experiment_name: str) -> bool:
2025-01-24T00:44:52.0045239Z     """
2025-01-24T00:44:52.0045687Z     Check if a user is opted into an experiment
2025-01-24T00:44:52.0046220Z     """
2025-01-24T00:44:52.0046824Z     return experiment_name in user_optins.get(user, [])
2025-01-24T00:44:52.0047405Z 
2025-01-24T00:44:52.0047735Z 
2025-01-24T00:44:52.0048353Z def is_user_opted_out(user: str, user_optins: UserOptins, experiment_name: str) -> bool:
2025-01-24T00:44:52.0049101Z     """
2025-01-24T00:44:52.0049584Z     Check if a user explicitly opted out of an experiment
2025-01-24T00:44:52.0050163Z     """
2025-01-24T00:44:52.0050693Z     # if the experiment is prefixed with a "-", then it's an opt-out
2025-01-24T00:44:52.0051386Z     experiment_optout = "-" + experiment_name
2025-01-24T00:44:52.0052044Z     if experiment_optout not in user_optins.get(user, []):
2025-01-24T00:44:52.0052636Z         return False
2025-01-24T00:44:52.0053051Z 
2025-01-24T00:44:52.0053516Z     if is_user_opted_in(user, user_optins, experiment_name):
2025-01-24T00:44:52.0054116Z         log.warning(
2025-01-24T00:44:52.0054942Z             f"User {user} is opted into experiment {experiment_name}, but also opted out of it. Defaulting to opting out"
2025-01-24T00:44:52.0055778Z         )
2025-01-24T00:44:52.0056302Z 
2025-01-24T00:44:52.0056753Z     return True
2025-01-24T00:44:52.0057156Z 
2025-01-24T00:44:52.0057480Z 
2025-01-24T00:44:52.0057830Z def get_runner_prefix(
2025-01-24T00:44:52.0058296Z     rollout_state: str,
2025-01-24T00:44:52.0058797Z     workflow_requestors: Iterable[str],
2025-01-24T00:44:52.0059317Z     branch: str,
2025-01-24T00:44:52.0059863Z     eligible_experiments: FrozenSet[str] = frozenset(),
2025-01-24T00:44:52.0060465Z     is_canary: bool = False,
2025-01-24T00:44:52.0060933Z ) -> str:
2025-01-24T00:44:52.0061373Z     settings = parse_settings(rollout_state)
2025-01-24T00:44:52.0061960Z     user_optins = parse_users(rollout_state)
2025-01-24T00:44:52.0062483Z 
2025-01-24T00:44:52.0062832Z     fleet_prefix = ""
2025-01-24T00:44:52.0063280Z     prefixes = []
2025-01-24T00:44:52.0063944Z     for experiment_name, experiment_settings in settings.experiments.items():
2025-01-24T00:44:52.0064881Z         if not experiment_settings.all_branches and is_exception_branch(branch):
2025-01-24T00:44:52.0065582Z             log.info(
2025-01-24T00:44:52.0066288Z                 f"Branch {branch} is an exception branch. Not enabling experiment {experiment_name}."
2025-01-24T00:44:52.0067199Z             )
2025-01-24T00:44:52.0067658Z             continue
2025-01-24T00:44:52.0068132Z 
2025-01-24T00:44:52.0068552Z         if eligible_experiments:
2025-01-24T00:44:52.0069198Z             if experiment_name not in eligible_experiments:
2025-01-24T00:44:52.0069891Z                 exp_list = ", ".join(eligible_experiments)
2025-01-24T00:44:52.0070609Z                 log.info(
2025-01-24T00:44:52.0071478Z                     f"Skipping experiment '{experiment_name}', as it is not in the eligible_experiments list: {exp_list}"
2025-01-24T00:44:52.0072351Z                 )
2025-01-24T00:44:52.0072824Z                 continue
2025-01-24T00:44:52.0073390Z         elif not experiment_settings.default:
2025-01-24T00:44:52.0073974Z             log.info(
2025-01-24T00:44:52.0074746Z                 f"Skipping experiment '{experiment_name}', as it is not a default experiment"
2025-01-24T00:44:52.0075511Z             )
2025-01-24T00:44:52.0075963Z             continue
2025-01-24T00:44:52.0076515Z 
2025-01-24T00:44:52.0076986Z         # Is any workflow_requestor opted out to this experiment?
2025-01-24T00:44:52.0077595Z         opted_out_users = [
2025-01-24T00:44:52.0078070Z             requestor
2025-01-24T00:44:52.0078559Z             for requestor in workflow_requestors
2025-01-24T00:44:52.0079245Z             if is_user_opted_out(requestor, user_optins, experiment_name)
2025-01-24T00:44:52.0079869Z         ]
2025-01-24T00:44:52.0080235Z 
2025-01-24T00:44:52.0080592Z         if opted_out_users:
2025-01-24T00:44:52.0081061Z             log.info(
2025-01-24T00:44:52.0081703Z                 f"{', '.join(opted_out_users)} have opted out of experiment {experiment_name}."
2025-01-24T00:44:52.0082390Z             )
2025-01-24T00:44:52.0082796Z             continue
2025-01-24T00:44:52.0083204Z 
2025-01-24T00:44:52.0083659Z         # Is any workflow_requestor opted in to this experiment?
2025-01-24T00:44:52.0084264Z         opted_in_users = [
2025-01-24T00:44:52.0084728Z             requestor
2025-01-24T00:44:52.0085222Z             for requestor in workflow_requestors
2025-01-24T00:44:52.0085895Z             if is_user_opted_in(requestor, user_optins, experiment_name)
2025-01-24T00:44:52.0086606Z         ]
2025-01-24T00:44:52.0087119Z 
2025-01-24T00:44:52.0087473Z         enabled = False
2025-01-24T00:44:52.0087933Z         if opted_in_users:
2025-01-24T00:44:52.0088400Z             log.info(
2025-01-24T00:44:52.0089036Z                 f"{', '.join(opted_in_users)} have opted into experiment {experiment_name}."
2025-01-24T00:44:52.0089712Z             )
2025-01-24T00:44:52.0090124Z             enabled = True
2025-01-24T00:44:52.0090572Z 
2025-01-24T00:44:52.0090970Z         elif experiment_settings.rollout_perc:
2025-01-24T00:44:52.0091814Z             # If no user is opted in, then we randomly enable the experiment based on the rollout percentage
2025-01-24T00:44:52.0092746Z             if random.uniform(0, 100) <= experiment_settings.rollout_perc:
2025-01-24T00:44:52.0093383Z                 log.info(
2025-01-24T00:44:52.0094251Z                     f"Based on rollout percentage of {experiment_settings.rollout_perc}%, enabling experiment {experiment_name}."
2025-01-24T00:44:52.0095144Z                 )
2025-01-24T00:44:52.0095580Z                 enabled = True
2025-01-24T00:44:52.0096055Z 
2025-01-24T00:44:52.0096506Z         if enabled:
2025-01-24T00:44:52.0096980Z             label = experiment_name
2025-01-24T00:44:52.0097542Z             if experiment_name == LF_FLEET_EXPERIMENT:
2025-01-24T00:44:52.0098366Z                 # We give some special treatment to the "lf" experiment since determines the fleet we use
2025-01-24T00:44:52.0099227Z                 #  - If it's enabled, then we always list it's prefix first
2025-01-24T00:44:52.0100115Z                 #  - If we're in the canary branch, then we append ".c" to the lf prefix
2025-01-24T00:44:52.0100787Z                 if is_canary:
2025-01-24T00:44:52.0101315Z                     label += CANARY_FLEET_SUFFIX
2025-01-24T00:44:52.0101869Z                 fleet_prefix = label
2025-01-24T00:44:52.0102354Z             else:
2025-01-24T00:44:52.0102810Z                 prefixes.append(label)
2025-01-24T00:44:52.0103314Z 
2025-01-24T00:44:52.0103666Z     if len(prefixes) > 1:
2025-01-24T00:44:52.0104135Z         log.error(
2025-01-24T00:44:52.0105177Z             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:])}"
2025-01-24T00:44:52.0106269Z         )
2025-01-24T00:44:52.0106801Z         prefixes = prefixes[:1]
2025-01-24T00:44:52.0107288Z 
2025-01-24T00:44:52.0107650Z     # Fleet always comes first
2025-01-24T00:44:52.0108145Z     if fleet_prefix:
2025-01-24T00:44:52.0108626Z         prefixes.insert(0, fleet_prefix)
2025-01-24T00:44:52.0109126Z 
2025-01-24T00:44:52.0109583Z     return ".".join(prefixes) + "." if prefixes else ""
2025-01-24T00:44:52.0110140Z 
2025-01-24T00:44:52.0110472Z 
2025-01-24T00:44:52.0111099Z def get_rollout_state_from_issue(github_token: str, repo: str, issue_num: int) -> str:
2025-01-24T00:44:52.0111849Z     """
2025-01-24T00:44:52.0112436Z     Gets the first comment of the issue, which contains the desired rollout state.
2025-01-24T00:44:52.0113131Z 
2025-01-24T00:44:52.0113702Z     The default issue we use - https://github.com/pytorch/test-infra/issues/5132
2025-01-24T00:44:52.0114384Z     """
2025-01-24T00:44:52.0114791Z     gh = get_gh_client(github_token)
2025-01-24T00:44:52.0115344Z     issue = get_issue(gh, repo, issue_num)
2025-01-24T00:44:52.0115994Z     return str(issue.get_comments()[0].body.strip("\n\t "))
2025-01-24T00:44:52.0116737Z 
2025-01-24T00:44:52.0117073Z 
2025-01-24T00:44:52.0117795Z def download_json(url: str, headers: Dict[str, str], num_retries: int = 3) -> Any:
2025-01-24T00:44:52.0118539Z     for _ in range(num_retries):
2025-01-24T00:44:52.0119021Z         try:
2025-01-24T00:44:52.0119463Z             req = Request(url=url, headers=headers)
2025-01-24T00:44:52.0120126Z             content = urlopen(req, timeout=5).read().decode("utf-8")
2025-01-24T00:44:52.0120775Z             return json.loads(content)
2025-01-24T00:44:52.0121299Z         except Exception as e:
2025-01-24T00:44:52.0121858Z             log.warning(f"Could not download {url}: {e}")
2025-01-24T00:44:52.0122403Z 
2025-01-24T00:44:52.0122972Z     log.warning(f"All {num_retries} retries exhausted, downloading {url} failed")
2025-01-24T00:44:52.0123675Z     return {}
2025-01-24T00:44:52.0124074Z 
2025-01-24T00:44:52.0124405Z 
2025-01-24T00:44:52.0124767Z @lru_cache(maxsize=None)
2025-01-24T00:44:52.0125489Z def get_pr_info(github_repo: str, github_token: str, pr_number: int) -> Dict[str, Any]:
2025-01-24T00:44:52.0126222Z     """
2025-01-24T00:44:52.0126743Z     Dynamically get PR information
2025-01-24T00:44:52.0127240Z     """
2025-01-24T00:44:52.0127764Z     github_api = f"https://api.github.com/repos/{github_repo}"
2025-01-24T00:44:52.0128381Z     headers = {
2025-01-24T00:44:52.0128870Z         "Accept": "application/vnd.github.v3+json",
2025-01-24T00:44:52.0129478Z         "Authorization": f"token {github_token}",
2025-01-24T00:44:52.0129998Z     }
2025-01-24T00:44:52.0130444Z     json_response: Dict[str, Any] = download_json(
2025-01-24T00:44:52.0131172Z         url=f"{github_api}/issues/{pr_number}",
2025-01-24T00:44:52.0131726Z         headers=headers,
2025-01-24T00:44:52.0132180Z     )
2025-01-24T00:44:52.0132538Z 
2025-01-24T00:44:52.0132891Z     if not json_response:
2025-01-24T00:44:52.0133494Z         log.warning(f"Failed to get the labels for #{pr_number}")
2025-01-24T00:44:52.0134110Z         return {}
2025-01-24T00:44:52.0134512Z 
2025-01-24T00:44:52.0134871Z     return json_response
2025-01-24T00:44:52.0135328Z 
2025-01-24T00:44:52.0135653Z 
2025-01-24T00:44:52.0136239Z def get_labels(github_repo: str, github_token: str, pr_number: int) -> Set[str]:
2025-01-24T00:44:52.0137061Z     """
2025-01-24T00:44:52.0137601Z     Dynamically get the latest list of labels from the pull request
2025-01-24T00:44:52.0138239Z     """
2025-01-24T00:44:52.0138747Z     pr_info = get_pr_info(github_repo, github_token, pr_number)
2025-01-24T00:44:52.0139344Z     return {
2025-01-24T00:44:52.0139947Z         label.get("name") for label in pr_info.get("labels", []) if label.get("name")
2025-01-24T00:44:52.0140627Z     }
2025-01-24T00:44:52.0140981Z 
2025-01-24T00:44:52.0141315Z 
2025-01-24T00:44:52.0141666Z def main() -> None:
2025-01-24T00:44:52.0142151Z     args = parse_args()
2025-01-24T00:44:52.0142600Z 
2025-01-24T00:44:52.0143015Z     runner_label_prefix = DEFAULT_LABEL_PREFIX
2025-01-24T00:44:52.0143540Z 
2025-01-24T00:44:52.0143906Z     # Check if the PR is opt-out
2025-01-24T00:44:52.0144408Z     if args.pr_number:
2025-01-24T00:44:52.0145084Z         labels = get_labels(args.github_repo, args.github_token, int(args.pr_number))
2025-01-24T00:44:52.0145816Z         if OPT_OUT_LABEL in labels:
2025-01-24T00:44:52.0146316Z             log.info(
2025-01-24T00:44:52.0147142Z                 f"Opt-out runner determinator because #{args.pr_number} has {OPT_OUT_LABEL} label"
2025-01-24T00:44:52.0148025Z             )
2025-01-24T00:44:52.0148619Z             set_github_output(GH_OUTPUT_KEY_LABEL_TYPE, runner_label_prefix)
2025-01-24T00:44:52.0149281Z             sys.exit()
2025-01-24T00:44:52.0149717Z 
2025-01-24T00:44:52.0150053Z     try:
2025-01-24T00:44:52.0150508Z         rollout_state = get_rollout_state_from_issue(
2025-01-24T00:44:52.0151228Z             args.github_token, args.github_issue_repo, args.github_issue
2025-01-24T00:44:52.0151849Z         )
2025-01-24T00:44:52.0152215Z 
2025-01-24T00:44:52.0152605Z         username = get_potential_pr_author(
2025-01-24T00:44:52.0153140Z             args.github_token,
2025-01-24T00:44:52.0153633Z             args.github_repo,
2025-01-24T00:44:52.0154121Z             args.github_actor,
2025-01-24T00:44:52.0154624Z             args.github_ref_type,
2025-01-24T00:44:52.0155130Z             args.github_branch,
2025-01-24T00:44:52.0155597Z         )
2025-01-24T00:44:52.0155964Z 
2025-01-24T00:44:52.0156568Z         is_canary = args.github_repo == "pytorch/pytorch-canary"
2025-01-24T00:44:52.0157157Z 
2025-01-24T00:44:52.0157565Z         runner_label_prefix = get_runner_prefix(
2025-01-24T00:44:52.0158107Z             rollout_state,
2025-01-24T00:44:52.0158619Z             (args.github_issue_owner, username),
2025-01-24T00:44:52.0159162Z             args.github_branch,
2025-01-24T00:44:52.0159686Z             args.eligible_experiments,
2025-01-24T00:44:52.0160195Z             is_canary,
2025-01-24T00:44:52.0160629Z         )
2025-01-24T00:44:52.0160998Z 
2025-01-24T00:44:52.0161351Z     except Exception as e:
2025-01-24T00:44:52.0161942Z         log.error(
2025-01-24T00:44:52.0162649Z             f"Failed to get issue. Defaulting to Meta runners and no experiments. Exception: {e}"
2025-01-24T00:44:52.0163376Z         )
2025-01-24T00:44:52.0163743Z 
2025-01-24T00:44:52.0164264Z     set_github_output(GH_OUTPUT_KEY_LABEL_TYPE, runner_label_prefix)
2025-01-24T00:44:52.0164898Z 
2025-01-24T00:44:52.0165239Z 
2025-01-24T00:44:52.0165590Z if __name__ == "__main__":
2025-01-24T00:44:52.0166038Z     main()
2025-01-24T00:44:52.0166520Z 
2025-01-24T00:44:52.0166887Z EOF
2025-01-24T00:44:52.0167245Z 
2025-01-24T00:44:52.0167635Z cat runner_determinator.py
2025-01-24T00:44:52.0476577Z shell: /usr/bin/bash -e {0}
2025-01-24T00:44:52.0477544Z env:
2025-01-24T00:44:52.0478220Z   GITHUB_TOKEN: ***
2025-01-24T00:44:52.0478643Z   ISSUE_NUMBER: 5132
2025-01-24T00:44:52.0479106Z   TRIGGERING_ACTOR: pytorch-bot[bot]
2025-01-24T00:44:52.0479636Z   ISSUE_OWNER: 
2025-01-24T00:44:52.0480036Z   CHECK_EXPERIMENTS: 
2025-01-24T00:44:52.0480461Z   PR_NUMBER: 
2025-01-24T00:44:52.0480851Z ##[endgroup]
2025-01-24T00:44:52.0689353Z # flake8: noqa: G004
2025-01-24T00:44:52.0689702Z 
2025-01-24T00:44:52.0690131Z # Note: Copies of this script in runner_determinator.py and _runner-determinator.yml
2025-01-24T00:44:52.0691040Z #       must be kept in sync. You can do it easily by running the following command:
2025-01-24T00:44:52.0691795Z #           python .github/scripts/update_runner_determinator.py
2025-01-24T00:44:52.0692210Z 
2025-01-24T00:44:52.0692363Z """
2025-01-24T00:44:52.0692897Z This runner determinator is used to determine which set of runners to run a
2025-01-24T00:44:52.0693797Z GitHub job on. It uses the first comment of a GitHub issue (by default
2025-01-24T00:44:52.0694653Z https://github.com/pytorch/test-infra/issues/5132) to define the configuration
2025-01-24T00:44:52.0695896Z of which runners should be used to run which job.
2025-01-24T00:44:52.0696714Z 
2025-01-24T00:44:52.0697237Z The configuration has two parts, the settings and a list of opted-in users,
2025-01-24T00:44:52.0698953Z separated by a line containing "---".  If the line is not present, the
2025-01-24T00:44:52.0700314Z settings are considered to be empty with only the second part, the user
2025-01-24T00:44:52.0701439Z list, defined.
2025-01-24T00:44:52.0701793Z 
2025-01-24T00:44:52.0764697Z The first part is a YAML block that defines the rollout settings. This can be
2025-01-24T00:44:52.0766756Z used to define any settings that are needed to determine which runners to use.
2025-01-24T00:44:52.0767671Z It's fields are defined by the RolloutSettings class below.
2025-01-24T00:44:52.0768101Z 
2025-01-24T00:44:52.0768472Z The second part is a list of users who are explicitly opted in to the LF fleet.
2025-01-24T00:44:52.0769311Z The user list is also a comma separated list of additional features or
2025-01-24T00:44:52.0770042Z experiments which the user could be opted in to.
2025-01-24T00:44:52.0770440Z 
2025-01-24T00:44:52.0770628Z The user list has the following rules:
2025-01-24T00:44:52.0770975Z 
2025-01-24T00:44:52.0771283Z - Users are GitHub usernames, which must start with the @ prefix
2025-01-24T00:44:52.0772103Z - Each user is also a comma-separated list of features/experiments to enable
2025-01-24T00:44:52.0772842Z - A "#" prefix opts the user out of all experiments
2025-01-24T00:44:52.0773223Z 
2025-01-24T00:44:52.0773387Z Example config:
2025-01-24T00:44:52.0773829Z     # A list of experiments that can be opted into.
2025-01-24T00:44:52.0774467Z     # This defines the behavior they'll induce when opted into.
2025-01-24T00:44:52.0775047Z     # Expected syntax is:
2025-01-24T00:44:52.0775673Z     #   [experiment_name]: # Name of the experiment. Also used for the label prefix.
2025-01-24T00:44:52.0777551Z     #      rollout_perc: [int] # % of workflows to run with this experiment when users are not opted in.
2025-01-24T00:44:52.0778898Z 
2025-01-24T00:44:52.0779191Z     experiments:
2025-01-24T00:44:52.0779809Z       lf:
2025-01-24T00:44:52.0780389Z         rollout_percent: 25
2025-01-24T00:44:52.0781123Z         all_branches: false
2025-01-24T00:44:52.0781824Z         default: true
2025-01-24T00:44:52.0782459Z     ---
2025-01-24T00:44:52.0782781Z 
2025-01-24T00:44:52.0783044Z     # Opt-ins:
2025-01-24T00:44:52.0783951Z     # Users can opt into the LF fleet by adding their GitHub username to this list
2025-01-24T00:44:52.0785323Z     # and specifying experiments to enable in a comma-separated list.
2025-01-24T00:44:52.0786710Z     # To always opt out of an experiment, prefix it with a "-".
2025-01-24T00:44:52.0787769Z     # Experiments should be from the above list.
2025-01-24T00:44:52.0788381Z 
2025-01-24T00:44:52.0788652Z     @User1,-lf,split_build
2025-01-24T00:44:52.0789316Z     @User2,lf
2025-01-24T00:44:52.0789882Z     @User3,split_build
2025-01-24T00:44:52.0790500Z """
2025-01-24T00:44:52.0790808Z 
2025-01-24T00:44:52.0791085Z import json
2025-01-24T00:44:52.0791672Z import logging
2025-01-24T00:44:52.0792271Z import os
2025-01-24T00:44:52.0792632Z import random
2025-01-24T00:44:52.0792987Z import re
2025-01-24T00:44:52.0793325Z import sys
2025-01-24T00:44:52.0793700Z from argparse import ArgumentParser
2025-01-24T00:44:52.0794186Z from functools import lru_cache
2025-01-24T00:44:52.0794693Z from logging import LogRecord
2025-01-24T00:44:52.0795342Z from typing import Any, Dict, FrozenSet, Iterable, List, NamedTuple, Set, Tuple
2025-01-24T00:44:52.0796069Z from urllib.request import Request, urlopen
2025-01-24T00:44:52.0796689Z 
2025-01-24T00:44:52.0796877Z import yaml
2025-01-24T00:44:52.0797250Z from github import Auth, Github
2025-01-24T00:44:52.0797711Z from github.Issue import Issue
2025-01-24T00:44:52.0798012Z 
2025-01-24T00:44:52.0798019Z 
2025-01-24T00:44:52.0798220Z DEFAULT_LABEL_PREFIX = ""  # use meta runners
2025-01-24T00:44:52.0798896Z WORKFLOW_LABEL_LF = "lf."  # use runners from the linux foundation
2025-01-24T00:44:52.0799711Z WORKFLOW_LABEL_LF_CANARY = "lf.c."  # use canary runners from the linux foundation
2025-01-24T00:44:52.0800238Z 
2025-01-24T00:44:52.0800674Z GITHUB_OUTPUT = os.getenv("GITHUB_OUTPUT", "")
2025-01-24T00:44:52.0801226Z GH_OUTPUT_KEY_AMI = "runner-ami"
2025-01-24T00:44:52.0801702Z GH_OUTPUT_KEY_LABEL_TYPE = "label-type"
2025-01-24T00:44:52.0802211Z OPT_OUT_LABEL = "no-runner-experiments"
2025-01-24T00:44:52.0802545Z 
2025-01-24T00:44:52.0802725Z SETTING_EXPERIMENTS = "experiments"
2025-01-24T00:44:52.0803036Z 
2025-01-24T00:44:52.0803212Z LF_FLEET_EXPERIMENT = "lf"
2025-01-24T00:44:52.0803684Z CANARY_FLEET_SUFFIX = ".c"
2025-01-24T00:44:52.0803948Z 
2025-01-24T00:44:52.0803954Z 
2025-01-24T00:44:52.0804127Z class Experiment(NamedTuple):
2025-01-24T00:44:52.0804576Z     rollout_perc: float = (
2025-01-24T00:44:52.0805172Z         0  # Percentage of workflows to experiment on when user is not opted-in.
2025-01-24T00:44:52.0805825Z     )
2025-01-24T00:44:52.0806165Z     all_branches: bool = (
2025-01-24T00:44:52.0806926Z         False  # If True, the experiment is also enabled on the exception branches
2025-01-24T00:44:52.0807571Z     )
2025-01-24T00:44:52.0807917Z     default: bool = (
2025-01-24T00:44:52.0808479Z         True  # If True, the experiment is enabled by default for all queries
2025-01-24T00:44:52.0809084Z     )
2025-01-24T00:44:52.0809291Z 
2025-01-24T00:44:52.0809461Z     # Add more fields as needed
2025-01-24T00:44:52.0809750Z 
2025-01-24T00:44:52.0809756Z 
2025-01-24T00:44:52.0809937Z class Settings(NamedTuple):
2025-01-24T00:44:52.0810349Z     """
2025-01-24T00:44:52.0810771Z     Settings for the experiments that can be opted into.
2025-01-24T00:44:52.0811310Z     """
2025-01-24T00:44:52.0811490Z 
2025-01-24T00:44:52.0811681Z     experiments: Dict[str, Experiment] = {}
2025-01-24T00:44:52.0812027Z 
2025-01-24T00:44:52.0812034Z 
2025-01-24T00:44:52.0812224Z class ColorFormatter(logging.Formatter):
2025-01-24T00:44:52.0812830Z     """Color codes the log messages based on the log level"""
2025-01-24T00:44:52.0813623Z 
2025-01-24T00:44:52.0813928Z     COLORS = {
2025-01-24T00:44:52.0814544Z         "WARNING": "\033[33m",  # Yellow
2025-01-24T00:44:52.0815363Z         "ERROR": "\033[31m",  # Red
2025-01-24T00:44:52.0816141Z         "CRITICAL": "\033[31m",  # Red
2025-01-24T00:44:52.0817170Z         "INFO": "\033[0m",  # Reset
2025-01-24T00:44:52.0817923Z         "DEBUG": "\033[0m",  # Reset
2025-01-24T00:44:52.0818627Z     }
2025-01-24T00:44:52.0818923Z 
2025-01-24T00:44:52.0819273Z     def format(self, record: LogRecord) -> str:
2025-01-24T00:44:52.0820426Z         log_color = self.COLORS.get(record.levelname, "\033[0m")  # Default to reset
2025-01-24T00:44:52.0821453Z         record.msg = f"{log_color}{record.msg}\033[0m"
2025-01-24T00:44:52.0822006Z         return super().format(record)
2025-01-24T00:44:52.0822327Z 
2025-01-24T00:44:52.0822333Z 
2025-01-24T00:44:52.0822513Z handler = logging.StreamHandler()
2025-01-24T00:44:52.0823196Z handler.setFormatter(ColorFormatter(fmt="%(levelname)-8s: %(message)s"))
2025-01-24T00:44:52.0823891Z 
2025-01-24T00:44:52.0824190Z log = logging.getLogger(os.path.basename(__file__))
2025-01-24T00:44:52.0824749Z log.addHandler(handler)
2025-01-24T00:44:52.0825167Z log.setLevel(logging.INFO)
2025-01-24T00:44:52.0825436Z 
2025-01-24T00:44:52.0825443Z 
2025-01-24T00:44:52.0825674Z def set_github_output(key: str, value: str) -> None:
2025-01-24T00:44:52.0826200Z     """
2025-01-24T00:44:52.0826887Z     Defines outputs of the github action that invokes this script
2025-01-24T00:44:52.0827490Z     """
2025-01-24T00:44:52.0828233Z     if not GITHUB_OUTPUT:
2025-01-24T00:44:52.0829797Z         # See https://github.blog/changelog/2022-10-11-github-actions-deprecating-save-state-and-set-output-commands/ for deprecation notice
2025-01-24T00:44:52.0831581Z         log.warning(
2025-01-24T00:44:52.0832881Z             "No env var found for GITHUB_OUTPUT, you must be running this code locally. Falling back to the deprecated print method."
2025-01-24T00:44:52.0834271Z         )
2025-01-24T00:44:52.0849579Z         print(f"::set-output name={key}::{value}")
2025-01-24T00:44:52.0850453Z         return
2025-01-24T00:44:52.0851115Z 
2025-01-24T00:44:52.0851444Z     with open(GITHUB_OUTPUT, "a") as f:
2025-01-24T00:44:52.0852367Z         log.info(f"Setting output: {key}='{value}'")
2025-01-24T00:44:52.0853231Z         f.write(f"{key}={value}\n")
2025-01-24T00:44:52.0853742Z 
2025-01-24T00:44:52.0853755Z 
2025-01-24T00:44:52.0854212Z def _str_comma_separated_to_set(value: str) -> FrozenSet[str]:
2025-01-24T00:44:52.0855316Z     return frozenset(
2025-01-24T00:44:52.0856374Z         filter(lambda itm: itm != "", map(str.strip, value.strip(" \n\t").split(",")))
2025-01-24T00:44:52.0857737Z     )
2025-01-24T00:44:52.0858025Z 
2025-01-24T00:44:52.0858032Z 
2025-01-24T00:44:52.0858211Z def parse_args() -> Any:
2025-01-24T00:44:52.0858757Z     parser = ArgumentParser("Get dynamic rollout settings")
2025-01-24T00:44:52.0859578Z     parser.add_argument("--github-token", type=str, required=True, help="GitHub token")
2025-01-24T00:44:52.0860305Z     parser.add_argument(
2025-01-24T00:44:52.0860730Z         "--github-issue-repo",
2025-01-24T00:44:52.0861153Z         type=str,
2025-01-24T00:44:52.0861527Z         required=False,
2025-01-24T00:44:52.0862123Z         default="pytorch/test-infra",
2025-01-24T00:44:52.0862631Z         help="GitHub repo to get the issue",
2025-01-24T00:44:52.0863107Z     )
2025-01-24T00:44:52.0863453Z     parser.add_argument(
2025-01-24T00:44:52.0863854Z         "--github-repo",
2025-01-24T00:44:52.0864248Z         type=str,
2025-01-24T00:44:52.0864608Z         required=True,
2025-01-24T00:44:52.0865030Z         help="GitHub repo where CI is running",
2025-01-24T00:44:52.0865517Z     )
2025-01-24T00:44:52.0865851Z     parser.add_argument(
2025-01-24T00:44:52.0866676Z         "--github-issue", type=int, required=True, help="GitHub issue number"
2025-01-24T00:44:52.0867359Z     )
2025-01-24T00:44:52.0867702Z     parser.add_argument(
2025-01-24T00:44:52.0868467Z         "--github-actor", type=str, required=True, help="GitHub triggering_actor"
2025-01-24T00:44:52.0869136Z     )
2025-01-24T00:44:52.0869708Z     parser.add_argument(
2025-01-24T00:44:52.0870343Z         "--github-issue-owner", type=str, required=True, help="GitHub issue owner"
2025-01-24T00:44:52.0871012Z     )
2025-01-24T00:44:52.0871422Z     parser.add_argument(
2025-01-24T00:44:52.0872323Z         "--github-branch", type=str, required=True, help="Current GitHub branch or tag"
2025-01-24T00:44:52.0873288Z     )
2025-01-24T00:44:52.0873671Z     parser.add_argument(
2025-01-24T00:44:52.0874096Z         "--github-ref-type",
2025-01-24T00:44:52.0874570Z         type=str,
2025-01-24T00:44:52.0874964Z         required=True,
2025-01-24T00:44:52.0875409Z         help="Current GitHub ref type, branch or tag",
2025-01-24T00:44:52.0875930Z     )
2025-01-24T00:44:52.0876263Z     parser.add_argument(
2025-01-24T00:44:52.0876935Z         "--eligible-experiments",
2025-01-24T00:44:52.0877427Z         type=_str_comma_separated_to_set,
2025-01-24T00:44:52.0877903Z         required=False,
2025-01-24T00:44:52.0878292Z         default="",
2025-01-24T00:44:52.0879083Z         help="comma separated list of experiments to check, if omitted all experiments marked with default=True are checked",
2025-01-24T00:44:52.0879944Z     )
2025-01-24T00:44:52.0880279Z     parser.add_argument(
2025-01-24T00:44:52.0880685Z         "--pr-number",
2025-01-24T00:44:52.0881072Z         type=str,
2025-01-24T00:44:52.0881437Z         required=False,
2025-01-24T00:44:52.0881822Z         default="",
2025-01-24T00:44:52.0882258Z         help="the optional PR number where this is run",
2025-01-24T00:44:52.0882785Z     )
2025-01-24T00:44:52.0882966Z 
2025-01-24T00:44:52.0883138Z     return parser.parse_args()
2025-01-24T00:44:52.0883437Z 
2025-01-24T00:44:52.0883443Z 
2025-01-24T00:44:52.0883653Z def get_gh_client(github_token: str) -> Github:
2025-01-24T00:44:52.0884198Z     auth = Auth.Token(github_token)
2025-01-24T00:44:52.0884678Z     return Github(auth=auth)
2025-01-24T00:44:52.0884957Z 
2025-01-24T00:44:52.0884964Z 
2025-01-24T00:44:52.0885244Z def get_issue(gh: Github, repo: str, issue_num: int) -> Issue:
2025-01-24T00:44:52.0886018Z     repo = gh.get_repo(repo)
2025-01-24T00:44:52.0886695Z     return repo.get_issue(number=issue_num)
2025-01-24T00:44:52.0887052Z 
2025-01-24T00:44:52.0887058Z 
2025-01-24T00:44:52.0887239Z def get_potential_pr_author(
2025-01-24T00:44:52.0887844Z     github_token: str, repo: str, username: str, ref_type: str, ref_name: str
2025-01-24T00:44:52.0888482Z ) -> str:
2025-01-24T00:44:52.0888952Z     # If the trigger was a new tag added by a bot, this is a ciflow case
2025-01-24T00:44:52.0889707Z     # Fetch the actual username from the original PR. The PR number is
2025-01-24T00:44:52.0890403Z     # embedded in the tag name: ciflow/<name>/<pr-number>
2025-01-24T00:44:52.0890787Z 
2025-01-24T00:44:52.0890965Z     gh = get_gh_client(github_token)
2025-01-24T00:44:52.0891277Z 
2025-01-24T00:44:52.0891533Z     if username == "pytorch-bot[bot]" and ref_type == "tag":
2025-01-24T00:44:52.0892111Z         split_tag = ref_name.split("/")
2025-01-24T00:44:52.0892577Z         if (
2025-01-24T00:44:52.0892935Z             len(split_tag) == 3
2025-01-24T00:44:52.0893381Z             and split_tag[0] == "ciflow"
2025-01-24T00:44:52.0893872Z             and split_tag[2].isnumeric()
2025-01-24T00:44:52.0894328Z         ):
2025-01-24T00:44:52.0894859Z             pr_number = split_tag[2]
2025-01-24T00:44:52.0896022Z             try:
2025-01-24T00:44:52.0896924Z                 repository = gh.get_repo(repo)
2025-01-24T00:44:52.0897923Z                 pull = repository.get_pull(number=int(pr_number))
2025-01-24T00:44:52.0898839Z             except Exception as e:
2025-01-24T00:44:52.0899607Z                 raise Exception(  # noqa: TRY002
2025-01-24T00:44:52.0900723Z                     f"issue with pull request {pr_number} from repo {repository}"
2025-01-24T00:44:52.0901851Z                 ) from e
2025-01-24T00:44:52.0902819Z             return pull.user.login
2025-01-24T00:44:52.0903856Z     # In all other cases, return the original input username
2025-01-24T00:44:52.0904815Z     return username
2025-01-24T00:44:52.0905221Z 
2025-01-24T00:44:52.0905232Z 
2025-01-24T00:44:52.0905573Z def is_exception_branch(branch: str) -> bool:
2025-01-24T00:44:52.0906199Z     """
2025-01-24T00:44:52.0907091Z     Branches that get opted out of experiments by default, until they're explicitly enabled.
2025-01-24T00:44:52.0907830Z     """
2025-01-24T00:44:52.0908352Z     return branch.split("/")[0] in {"main", "nightly", "release", "landchecks"}
2025-01-24T00:44:52.0908857Z 
2025-01-24T00:44:52.0908863Z 
2025-01-24T00:44:52.0909044Z def load_yaml(yaml_text: str) -> Any:
2025-01-24T00:44:52.0909504Z     try:
2025-01-24T00:44:52.0909851Z         data = yaml.safe_load(yaml_text)
2025-01-24T00:44:52.0910321Z         return data
2025-01-24T00:44:52.0910691Z     except yaml.YAMLError:
2025-01-24T00:44:52.0911138Z         log.exception("Error loading YAML")
2025-01-24T00:44:52.0911624Z         raise
2025-01-24T00:44:52.0911822Z 
2025-01-24T00:44:52.0911830Z 
2025-01-24T00:44:52.0912222Z def extract_settings_user_opt_in_from_text(rollout_state: str) -> Tuple[str, str]:
2025-01-24T00:44:52.0912912Z     """
2025-01-24T00:44:52.0913486Z     Extracts the text with settings, if any, and the opted in users from the rollout state.
2025-01-24T00:44:52.0914046Z 
2025-01-24T00:44:52.0914369Z     If the issue body contains "---" then the text above that is the settings
2025-01-24T00:44:52.0915063Z     and the text below is the list of opted in users.
2025-01-24T00:44:52.0915450Z 
2025-01-24T00:44:52.0915798Z     If it doesn't contain "---" then the settings are empty and the rest is the users.
2025-01-24T00:44:52.0916669Z     """
2025-01-24T00:44:52.0917087Z     rollout_state_parts = rollout_state.split("---")
2025-01-24T00:44:52.0917638Z     if len(rollout_state_parts) >= 2:
2025-01-24T00:44:52.0918202Z         return rollout_state_parts[0], rollout_state_parts[1]
2025-01-24T00:44:52.0918753Z     else:
2025-01-24T00:44:52.0919099Z         return "", rollout_state
2025-01-24T00:44:52.0919381Z 
2025-01-24T00:44:52.0919387Z 
2025-01-24T00:44:52.0919770Z class UserOptins(Dict[str, List[str]]):
2025-01-24T00:44:52.0920248Z     """
2025-01-24T00:44:52.0920734Z     Dictionary of users with a list of features they have opted into
2025-01-24T00:44:52.0921346Z     """
2025-01-24T00:44:52.0921524Z 
2025-01-24T00:44:52.0921530Z 
2025-01-24T00:44:52.0921844Z def parse_user_opt_in_from_text(user_optin_text: str) -> UserOptins:
2025-01-24T00:44:52.0922459Z     """
2025-01-24T00:44:52.0923121Z     Parse the user opt-in text into a key value pair of username and the list of features they have opted into
2025-01-24T00:44:52.0923767Z 
2025-01-24T00:44:52.0924353Z     Users are GitHub usernames with the @ prefix. Each user is also a comma-separated list of features/experiments to enable.
2025-01-24T00:44:52.0925274Z         - Example line: "@User1,lf,split_build"
2025-01-24T00:44:52.0925918Z         - A "#" prefix indicates the user is opted out of all experiments
2025-01-24T00:44:52.0926365Z 
2025-01-24T00:44:52.0926371Z 
2025-01-24T00:44:52.0926711Z     """
2025-01-24T00:44:52.0927072Z     optins = UserOptins()
2025-01-24T00:44:52.0927680Z     for user in user_optin_text.split("\n"):
2025-01-24T00:44:52.0928209Z         user = user.strip("\r\n\t -")
2025-01-24T00:44:52.0928800Z         if not user or not user.startswith("@"):
2025-01-24T00:44:52.0929401Z             # Not a valid user. Skip
2025-01-24T00:44:52.0929854Z             continue
2025-01-24T00:44:52.0930080Z 
2025-01-24T00:44:52.0930228Z         if user:
2025-01-24T00:44:52.0930723Z             usr_name = user.split(",")[0].strip("@")
2025-01-24T00:44:52.0931371Z             optins[usr_name] = [exp.strip(" ") for exp in user.split(",")[1:]]
2025-01-24T00:44:52.0931824Z 
2025-01-24T00:44:52.0931975Z     return optins
2025-01-24T00:44:52.0932200Z 
2025-01-24T00:44:52.0932206Z 
2025-01-24T00:44:52.0932472Z def is_valid_experiment_name(experiment_name: str) -> bool:
2025-01-24T00:44:52.0933171Z     """
2025-01-24T00:44:52.0933538Z     Check if the experiment name is valid.
2025-01-24T00:44:52.0934029Z     A valid name:
2025-01-24T00:44:52.0934620Z         - Contains only alphanumeric characters and the special characters "_" & "-"
2025-01-24T00:44:52.0935487Z         - The special characters "_" & "-" shouldn't be the first or last characters
2025-01-24T00:44:52.0936155Z         - Cannot contain spaces
2025-01-24T00:44:52.0936781Z     """
2025-01-24T00:44:52.0936967Z 
2025-01-24T00:44:52.0937209Z     valid_char_regex = r"^[a-zA-Z0-9]([\w-]*[a-zA-Z0-9])?$"
2025-01-24T00:44:52.0937860Z     valid = bool(re.match(valid_char_regex, experiment_name))
2025-01-24T00:44:52.0938266Z 
2025-01-24T00:44:52.0938417Z     if valid:
2025-01-24T00:44:52.0938762Z         return True
2025-01-24T00:44:52.0938985Z 
2025-01-24T00:44:52.0939136Z     log.error(
2025-01-24T00:44:52.0940486Z         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."
2025-01-24T00:44:52.0941937Z     )
2025-01-24T00:44:52.0942254Z     return False
2025-01-24T00:44:52.0942472Z 
2025-01-24T00:44:52.0942477Z 
2025-01-24T00:44:52.0942759Z def parse_settings_from_text(settings_text: str) -> Settings:
2025-01-24T00:44:52.0943341Z     """
2025-01-24T00:44:52.0943877Z     Parse the experiments from the issue body into a list of ExperimentSettings
2025-01-24T00:44:52.0944540Z     """
2025-01-24T00:44:52.0944868Z     try:
2025-01-24T00:44:52.0945198Z         if settings_text:
2025-01-24T00:44:52.0945860Z             # Escape the backtick as well so that we can have the settings in a code block on the GH issue
2025-01-24T00:44:52.0946774Z             # for easy reading
2025-01-24T00:44:52.0947511Z             # Note: Using ascii for the backtick so that the cat step in _runner-determinator.yml doesn't choke on
2025-01-24T00:44:52.0948343Z             #       the backtick character in shell commands.
2025-01-24T00:44:52.0948899Z             backtick = chr(96)  # backtick character
2025-01-24T00:44:52.0949674Z             settings_text = settings_text.strip(f"\r\n\t{backtick} ")
2025-01-24T00:44:52.0950281Z             settings = load_yaml(settings_text)
2025-01-24T00:44:52.0950621Z 
2025-01-24T00:44:52.0951000Z             # For now we just load experiments. We can expand this if/when we add more settings
2025-01-24T00:44:52.0951688Z             experiments = {}
2025-01-24T00:44:52.0951957Z 
2025-01-24T00:44:52.0952286Z             for exp_name, exp_settings in settings.get(SETTING_EXPERIMENTS).items():
2025-01-24T00:44:52.0952980Z                 if not is_valid_experiment_name(exp_name):
2025-01-24T00:44:52.0954011Z                     # Exclude invalid experiments from the list. We log an error, but don't raise an exception so that other experiments can still be processed.
2025-01-24T00:44:52.0954989Z                     continue
2025-01-24T00:44:52.0955260Z 
2025-01-24T00:44:52.0955427Z                 valid_settings = {}
2025-01-24T00:44:52.0955907Z                 for setting in exp_settings:
2025-01-24T00:44:52.0956687Z                     if setting not in Experiment._fields:
2025-01-24T00:44:52.0957220Z                         log.warning(
2025-01-24T00:44:52.0957870Z                             f"Unexpected setting in experiment: {setting} = {exp_settings[setting]}"
2025-01-24T00:44:52.0958527Z                         )
2025-01-24T00:44:52.0958959Z                     else:
2025-01-24T00:44:52.0959512Z                         valid_settings[setting] = exp_settings[setting]
2025-01-24T00:44:52.0959910Z 
2025-01-24T00:44:52.0960160Z                 experiments[exp_name] = Experiment(**valid_settings)
2025-01-24T00:44:52.0960749Z             return Settings(experiments)
2025-01-24T00:44:52.0961074Z 
2025-01-24T00:44:52.0961239Z     except Exception:
2025-01-24T00:44:52.0961678Z         log.exception("Failed to parse settings")
2025-01-24T00:44:52.0962042Z 
2025-01-24T00:44:52.0962339Z     return Settings()
2025-01-24T00:44:52.0962587Z 
2025-01-24T00:44:52.0962593Z 
2025-01-24T00:44:52.0962832Z def parse_settings(rollout_state: str) -> Settings:
2025-01-24T00:44:52.0963359Z     """
2025-01-24T00:44:52.0963748Z     Parse settings, if any, from the rollout state.
2025-01-24T00:44:52.0964117Z 
2025-01-24T00:44:52.0964445Z     If the issue body contains "---" then the text above that is the settings
2025-01-24T00:44:52.0965138Z     and the text below is the list of opted in users.
2025-01-24T00:44:52.0965518Z 
2025-01-24T00:44:52.0965890Z     If it doesn't contain "---" then the settings are empty and the default values are used.
2025-01-24T00:44:52.0966735Z     """
2025-01-24T00:44:52.0967282Z     settings_text, _ = extract_settings_user_opt_in_from_text(rollout_state)
2025-01-24T00:44:52.0967985Z     return parse_settings_from_text(settings_text)
2025-01-24T00:44:52.0968360Z 
2025-01-24T00:44:52.0968366Z 
2025-01-24T00:44:52.0968594Z def parse_users(rollout_state: str) -> UserOptins:
2025-01-24T00:44:52.0969111Z     """
2025-01-24T00:44:52.0969464Z     Parse users from the rollout state.
2025-01-24T00:44:52.0969802Z 
2025-01-24T00:44:52.0969954Z     """
2025-01-24T00:44:52.0970455Z     _, users_text = extract_settings_user_opt_in_from_text(rollout_state)
2025-01-24T00:44:52.0971120Z     return parse_user_opt_in_from_text(users_text)
2025-01-24T00:44:52.0971486Z 
2025-01-24T00:44:52.0971492Z 
2025-01-24T00:44:52.0972259Z def is_user_opted_in(user: str, user_optins: UserOptins, experiment_name: str) -> bool:
2025-01-24T00:44:52.0973463Z     """
2025-01-24T00:44:52.0974102Z     Check if a user is opted into an experiment
2025-01-24T00:44:52.0974956Z     """
2025-01-24T00:44:52.0975564Z     return experiment_name in user_optins.get(user, [])
2025-01-24T00:44:52.0975957Z 
2025-01-24T00:44:52.0975963Z 
2025-01-24T00:44:52.0976355Z def is_user_opted_out(user: str, user_optins: UserOptins, experiment_name: str) -> bool:
2025-01-24T00:44:52.0977192Z     """
2025-01-24T00:44:52.0977624Z     Check if a user explicitly opted out of an experiment
2025-01-24T00:44:52.0978160Z     """
2025-01-24T00:44:52.0978625Z     # if the experiment is prefixed with a "-", then it's an opt-out
2025-01-24T00:44:52.0979459Z     experiment_optout = "-" + experiment_name
2025-01-24T00:44:52.0980050Z     if experiment_optout not in user_optins.get(user, []):
2025-01-24T00:44:52.0980605Z         return False
2025-01-24T00:44:52.0980837Z 
2025-01-24T00:44:52.0981090Z     if is_user_opted_in(user, user_optins, experiment_name):
2025-01-24T00:44:52.0981641Z         log.warning(
2025-01-24T00:44:52.0982382Z             f"User {user} is opted into experiment {experiment_name}, but also opted out of it. Defaulting to opting out"
2025-01-24T00:44:52.0983199Z         )
2025-01-24T00:44:52.0983385Z 
2025-01-24T00:44:52.0983534Z     return True
2025-01-24T00:44:52.0983750Z 
2025-01-24T00:44:52.0983755Z 
2025-01-24T00:44:52.0983915Z def get_runner_prefix(
2025-01-24T00:44:52.0984322Z     rollout_state: str,
2025-01-24T00:44:52.0984741Z     workflow_requestors: Iterable[str],
2025-01-24T00:44:52.0985222Z     branch: str,
2025-01-24T00:44:52.0985668Z     eligible_experiments: FrozenSet[str] = frozenset(),
2025-01-24T00:44:52.0986225Z     is_canary: bool = False,
2025-01-24T00:44:52.0986766Z ) -> str:
2025-01-24T00:44:52.0987153Z     settings = parse_settings(rollout_state)
2025-01-24T00:44:52.0987678Z     user_optins = parse_users(rollout_state)
2025-01-24T00:44:52.0988021Z 
2025-01-24T00:44:52.0988183Z     fleet_prefix = ""
2025-01-24T00:44:52.0988576Z     prefixes = []
2025-01-24T00:44:52.0989151Z     for experiment_name, experiment_settings in settings.experiments.items():
2025-01-24T00:44:52.0990037Z         if not experiment_settings.all_branches and is_exception_branch(branch):
2025-01-24T00:44:52.0990690Z             log.info(
2025-01-24T00:44:52.0991304Z                 f"Branch {branch} is an exception branch. Not enabling experiment {experiment_name}."
2025-01-24T00:44:52.0992006Z             )
2025-01-24T00:44:52.0992469Z             continue
2025-01-24T00:44:52.0992706Z 
2025-01-24T00:44:52.0992881Z         if eligible_experiments:
2025-01-24T00:44:52.0993396Z             if experiment_name not in eligible_experiments:
2025-01-24T00:44:52.0993969Z                 exp_list = ", ".join(eligible_experiments)
2025-01-24T00:44:52.0994476Z                 log.info(
2025-01-24T00:44:52.0995199Z                     f"Skipping experiment '{experiment_name}', as it is not in the eligible_experiments list: {exp_list}"
2025-01-24T00:44:52.0995976Z                 )
2025-01-24T00:44:52.0996339Z                 continue
2025-01-24T00:44:52.0996870Z         elif not experiment_settings.default:
2025-01-24T00:44:52.0997364Z             log.info(
2025-01-24T00:44:52.0997991Z                 f"Skipping experiment '{experiment_name}', as it is not a default experiment"
2025-01-24T00:44:52.0998671Z             )
2025-01-24T00:44:52.0999017Z             continue
2025-01-24T00:44:52.0999244Z 
2025-01-24T00:44:52.0999504Z         # Is any workflow_requestor opted out to this experiment?
2025-01-24T00:44:52.1000064Z         opted_out_users = [
2025-01-24T00:44:52.1000478Z             requestor
2025-01-24T00:44:52.1000899Z             for requestor in workflow_requestors
2025-01-24T00:44:52.1001514Z             if is_user_opted_out(requestor, user_optins, experiment_name)
2025-01-24T00:44:52.1002090Z         ]
2025-01-24T00:44:52.1002274Z 
2025-01-24T00:44:52.1002441Z         if opted_out_users:
2025-01-24T00:44:52.1002848Z             log.info(
2025-01-24T00:44:52.1003446Z                 f"{', '.join(opted_out_users)} have opted out of experiment {experiment_name}."
2025-01-24T00:44:52.1004094Z             )
2025-01-24T00:44:52.1004431Z             continue
2025-01-24T00:44:52.1004657Z 
2025-01-24T00:44:52.1004905Z         # Is any workflow_requestor opted in to this experiment?
2025-01-24T00:44:52.1005470Z         opted_in_users = [
2025-01-24T00:44:52.1005878Z             requestor
2025-01-24T00:44:52.1006293Z             for requestor in workflow_requestors
2025-01-24T00:44:52.1007020Z             if is_user_opted_in(requestor, user_optins, experiment_name)
2025-01-24T00:44:52.1007593Z         ]
2025-01-24T00:44:52.1007911Z 
2025-01-24T00:44:52.1008077Z         enabled = False
2025-01-24T00:44:52.1008482Z         if opted_in_users:
2025-01-24T00:44:52.1008885Z             log.info(
2025-01-24T00:44:52.1009437Z                 f"{', '.join(opted_in_users)} have opted into experiment {experiment_name}."
2025-01-24T00:44:52.1010072Z             )
2025-01-24T00:44:52.1010425Z             enabled = True
2025-01-24T00:44:52.1010691Z 
2025-01-24T00:44:52.1010891Z         elif experiment_settings.rollout_perc:
2025-01-24T00:44:52.1011660Z             # If no user is opted in, then we randomly enable the experiment based on the rollout percentage
2025-01-24T00:44:52.1012518Z             if random.uniform(0, 100) <= experiment_settings.rollout_perc:
2025-01-24T00:44:52.1013117Z                 log.info(
2025-01-24T00:44:52.1014186Z                     f"Based on rollout percentage of {experiment_settings.rollout_perc}%, enabling experiment {experiment_name}."
2025-01-24T00:44:52.1015637Z                 )
2025-01-24T00:44:52.1016226Z                 enabled = True
2025-01-24T00:44:52.1016875Z 
2025-01-24T00:44:52.1017150Z         if enabled:
2025-01-24T00:44:52.1017804Z             label = experiment_name
2025-01-24T00:44:52.1018650Z             if experiment_name == LF_FLEET_EXPERIMENT:
2025-01-24T00:44:52.1019977Z                 # We give some special treatment to the "lf" experiment since determines the fleet we use
2025-01-24T00:44:52.1021381Z                 #  - If it's enabled, then we always list it's prefix first
2025-01-24T00:44:52.1022562Z                 #  - If we're in the canary branch, then we append ".c" to the lf prefix
2025-01-24T00:44:52.1023612Z                 if is_canary:
2025-01-24T00:44:52.1024360Z                     label += CANARY_FLEET_SUFFIX
2025-01-24T00:44:52.1025227Z                 fleet_prefix = label
2025-01-24T00:44:52.1026219Z             else:
2025-01-24T00:44:52.1027290Z                 prefixes.append(label)
2025-01-24T00:44:52.1027870Z 
2025-01-24T00:44:52.1028158Z     if len(prefixes) > 1:
2025-01-24T00:44:52.1028833Z         log.error(
2025-01-24T00:44:52.1030417Z             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:])}"
2025-01-24T00:44:52.1032196Z         )
2025-01-24T00:44:52.1032797Z         prefixes = prefixes[:1]
2025-01-24T00:44:52.1033271Z 
2025-01-24T00:44:52.1033560Z     # Fleet always comes first
2025-01-24T00:44:52.1034301Z     if fleet_prefix:
2025-01-24T00:44:52.1034981Z         prefixes.insert(0, fleet_prefix)
2025-01-24T00:44:52.1035539Z 
2025-01-24T00:44:52.1035923Z     return ".".join(prefixes) + "." if prefixes else ""
2025-01-24T00:44:52.1036775Z 
2025-01-24T00:44:52.1036786Z 
2025-01-24T00:44:52.1037504Z def get_rollout_state_from_issue(github_token: str, repo: str, issue_num: int) -> str:
2025-01-24T00:44:52.1038752Z     """
2025-01-24T00:44:52.1039623Z     Gets the first comment of the issue, which contains the desired rollout state.
2025-01-24T00:44:52.1040489Z 
2025-01-24T00:44:52.1041097Z     The default issue we use - https://github.com/pytorch/test-infra/issues/5132
2025-01-24T00:44:52.1042151Z     """
2025-01-24T00:44:52.1042520Z     gh = get_gh_client(github_token)
2025-01-24T00:44:52.1043013Z     issue = get_issue(gh, repo, issue_num)
2025-01-24T00:44:52.1043599Z     return str(issue.get_comments()[0].body.strip("\n\t "))
2025-01-24T00:44:52.1044007Z 
2025-01-24T00:44:52.1044015Z 
2025-01-24T00:44:52.1044392Z def download_json(url: str, headers: Dict[str, str], num_retries: int = 3) -> Any:
2025-01-24T00:44:52.1045084Z     for _ in range(num_retries):
2025-01-24T00:44:52.1045517Z         try:
2025-01-24T00:44:52.1045914Z             req = Request(url=url, headers=headers)
2025-01-24T00:44:52.1046762Z             content = urlopen(req, timeout=5).read().decode("utf-8")
2025-01-24T00:44:52.1047397Z             return json.loads(content)
2025-01-24T00:44:52.1047895Z         except Exception as e:
2025-01-24T00:44:52.1048393Z             log.warning(f"Could not download {url}: {e}")
2025-01-24T00:44:52.1048974Z 
2025-01-24T00:44:52.1049328Z     log.warning(f"All {num_retries} retries exhausted, downloading {url} failed")
2025-01-24T00:44:52.1049992Z     return {}
2025-01-24T00:44:52.1050195Z 
2025-01-24T00:44:52.1050201Z 
2025-01-24T00:44:52.1050365Z @lru_cache(maxsize=None)
2025-01-24T00:44:52.1051007Z def get_pr_info(github_repo: str, github_token: str, pr_number: int) -> Dict[str, Any]:
2025-01-24T00:44:52.1051700Z     """
2025-01-24T00:44:52.1052050Z     Dynamically get PR information
2025-01-24T00:44:52.1052506Z     """
2025-01-24T00:44:52.1052957Z     github_api = f"https://api.github.com/repos/{github_repo}"
2025-01-24T00:44:52.1053525Z     headers = {
2025-01-24T00:44:52.1053940Z         "Accept": "application/vnd.github.v3+json",
2025-01-24T00:44:52.1054500Z         "Authorization": f"token {github_token}",
2025-01-24T00:44:52.1054984Z     }
2025-01-24T00:44:52.1055369Z     json_response: Dict[str, Any] = download_json(
2025-01-24T00:44:52.1055930Z         url=f"{github_api}/issues/{pr_number}",
2025-01-24T00:44:52.1056580Z         headers=headers,
2025-01-24T00:44:52.1056980Z     )
2025-01-24T00:44:52.1057157Z 
2025-01-24T00:44:52.1057325Z     if not json_response:
2025-01-24T00:44:52.1057838Z         log.warning(f"Failed to get the labels for #{pr_number}")
2025-01-24T00:44:52.1058400Z         return {}
2025-01-24T00:44:52.1058615Z 
2025-01-24T00:44:52.1058783Z     return json_response
2025-01-24T00:44:52.1059029Z 
2025-01-24T00:44:52.1059035Z 
2025-01-24T00:44:52.1059397Z def get_labels(github_repo: str, github_token: str, pr_number: int) -> Set[str]:
2025-01-24T00:44:52.1060059Z     """
2025-01-24T00:44:52.1060535Z     Dynamically get the latest list of labels from the pull request
2025-01-24T00:44:52.1061122Z     """
2025-01-24T00:44:52.1061690Z     pr_info = get_pr_info(github_repo, github_token, pr_number)
2025-01-24T00:44:52.1062255Z     return {
2025-01-24T00:44:52.1062774Z         label.get("name") for label in pr_info.get("labels", []) if label.get("name")
2025-01-24T00:44:52.1063422Z     }
2025-01-24T00:44:52.1063596Z 
2025-01-24T00:44:52.1063602Z 
2025-01-24T00:44:52.1063764Z def main() -> None:
2025-01-24T00:44:52.1064137Z     args = parse_args()
2025-01-24T00:44:52.1064387Z 
2025-01-24T00:44:52.1064585Z     runner_label_prefix = DEFAULT_LABEL_PREFIX
2025-01-24T00:44:52.1064941Z 
2025-01-24T00:44:52.1065110Z     # Check if the PR is opt-out
2025-01-24T00:44:52.1065549Z     if args.pr_number:
2025-01-24T00:44:52.1066140Z         labels = get_labels(args.github_repo, args.github_token, int(args.pr_number))
2025-01-24T00:44:52.1066936Z         if OPT_OUT_LABEL in labels:
2025-01-24T00:44:52.1067392Z             log.info(
2025-01-24T00:44:52.1068010Z                 f"Opt-out runner determinator because #{args.pr_number} has {OPT_OUT_LABEL} label"
2025-01-24T00:44:52.1068714Z             )
2025-01-24T00:44:52.1069211Z             set_github_output(GH_OUTPUT_KEY_LABEL_TYPE, runner_label_prefix)
2025-01-24T00:44:52.1069818Z             sys.exit()
2025-01-24T00:44:52.1070054Z 
2025-01-24T00:44:52.1070204Z     try:
2025-01-24T00:44:52.1070592Z         rollout_state = get_rollout_state_from_issue(
2025-01-24T00:44:52.1071228Z             args.github_token, args.github_issue_repo, args.github_issue
2025-01-24T00:44:52.1071811Z         )
2025-01-24T00:44:52.1071993Z 
2025-01-24T00:44:52.1072179Z         username = get_potential_pr_author(
2025-01-24T00:44:52.1072666Z             args.github_token,
2025-01-24T00:44:52.1073101Z             args.github_repo,
2025-01-24T00:44:52.1073537Z             args.github_actor,
2025-01-24T00:44:52.1073970Z             args.github_ref_type,
2025-01-24T00:44:52.1074419Z             args.github_branch,
2025-01-24T00:44:52.1074835Z         )
2025-01-24T00:44:52.1075027Z 
2025-01-24T00:44:52.1075290Z         is_canary = args.github_repo == "pytorch/pytorch-canary"
2025-01-24T00:44:52.1075706Z 
2025-01-24T00:44:52.1075902Z         runner_label_prefix = get_runner_prefix(
2025-01-24T00:44:52.1076508Z             rollout_state,
2025-01-24T00:44:52.1077113Z             (args.github_issue_owner, username),
2025-01-24T00:44:52.1077613Z             args.github_branch,
2025-01-24T00:44:52.1078071Z             args.eligible_experiments,
2025-01-24T00:44:52.1078545Z             is_canary,
2025-01-24T00:44:52.1078926Z         )
2025-01-24T00:44:52.1079110Z 
2025-01-24T00:44:52.1079283Z     except Exception as e:
2025-01-24T00:44:52.1079691Z         log.error(
2025-01-24T00:44:52.1080306Z             f"Failed to get issue. Defaulting to Meta runners and no experiments. Exception: {e}"
2025-01-24T00:44:52.1081005Z         )
2025-01-24T00:44:52.1081192Z 
2025-01-24T00:44:52.1081494Z     set_github_output(GH_OUTPUT_KEY_LABEL_TYPE, runner_label_prefix)
2025-01-24T00:44:52.1081955Z 
2025-01-24T00:44:52.1081961Z 
2025-01-24T00:44:52.1082120Z if __name__ == "__main__":
2025-01-24T00:44:52.1082526Z     main()
2025-01-24T00:44:52.1082710Z 
2025-01-24T00:44:52.1175177Z ##[group]Run python3 -m pip install urllib3==1.26.18 PyGithub==2.3.0
2025-01-24T00:44:52.1176027Z python3 -m pip install urllib3==1.26.18 PyGithub==2.3.0
2025-01-24T00:44:52.1204050Z shell: /usr/bin/bash -e {0}
2025-01-24T00:44:52.1204494Z env:
2025-01-24T00:44:52.1205053Z   GITHUB_TOKEN: ***
2025-01-24T00:44:52.1205447Z   ISSUE_NUMBER: 5132
2025-01-24T00:44:52.1205854Z   TRIGGERING_ACTOR: pytorch-bot[bot]
2025-01-24T00:44:52.1206319Z   ISSUE_OWNER: 
2025-01-24T00:44:52.1206820Z   CHECK_EXPERIMENTS: 
2025-01-24T00:44:52.1207220Z   PR_NUMBER: 
2025-01-24T00:44:52.1207574Z ##[endgroup]
2025-01-24T00:44:53.1911554Z Defaulting to user installation because normal site-packages is not writeable
2025-01-24T00:44:53.9648537Z Collecting urllib3==1.26.18
2025-01-24T00:44:54.0209000Z   Downloading urllib3-1.26.18-py2.py3-none-any.whl.metadata (48 kB)
2025-01-24T00:44:54.0433720Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 48.9/48.9 kB 4.2 MB/s eta 0:00:00
2025-01-24T00:44:54.0706840Z Collecting PyGithub==2.3.0
2025-01-24T00:44:54.0779670Z   Downloading PyGithub-2.3.0-py3-none-any.whl.metadata (3.8 kB)
2025-01-24T00:44:54.1258003Z Collecting pynacl>=1.4.0 (from PyGithub==2.3.0)
2025-01-24T00:44:54.1350620Z   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)
2025-01-24T00:44:54.1397047Z Requirement already satisfied: requests>=2.14.0 in /usr/lib/python3/dist-packages (from PyGithub==2.3.0) (2.31.0)
2025-01-24T00:44:54.1414228Z 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)
2025-01-24T00:44:54.1429820Z Requirement already satisfied: typing-extensions>=4.0.0 in /usr/lib/python3/dist-packages (from PyGithub==2.3.0) (4.10.0)
2025-01-24T00:44:54.1799018Z Collecting Deprecated (from PyGithub==2.3.0)
2025-01-24T00:44:54.1877792Z   Downloading Deprecated-1.2.15-py2.py3-none-any.whl.metadata (5.5 kB)
2025-01-24T00:44:54.2113699Z 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)
2025-01-24T00:44:54.3298787Z Collecting cffi>=1.4.1 (from pynacl>=1.4.0->PyGithub==2.3.0)
2025-01-24T00:44:54.3406332Z   Downloading cffi-1.17.1-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.metadata (1.5 kB)
2025-01-24T00:44:54.4567249Z Collecting wrapt<2,>=1.10 (from Deprecated->PyGithub==2.3.0)
2025-01-24T00:44:54.4648020Z   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)
2025-01-24T00:44:54.4884786Z Collecting pycparser (from cffi>=1.4.1->pynacl>=1.4.0->PyGithub==2.3.0)
2025-01-24T00:44:54.4965344Z   Downloading pycparser-2.22-py3-none-any.whl.metadata (943 bytes)
2025-01-24T00:44:54.5249228Z Downloading urllib3-1.26.18-py2.py3-none-any.whl (143 kB)
2025-01-24T00:44:54.5352480Z    ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 143.8/143.8 kB 16.1 MB/s eta 0:00:00
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2025-01-24T00:44:54.5573193Z    ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 354.4/354.4 kB 41.9 MB/s eta 0:00:00
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2025-01-24T00:44:54.5764763Z    ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 856.7/856.7 kB 83.7 MB/s eta 0:00:00
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2025-01-24T00:44:54.5945712Z Downloading cffi-1.17.1-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (479 kB)
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2025-01-24T00:44:54.6136941Z    ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 89.2/89.2 kB 22.4 MB/s eta 0:00:00
2025-01-24T00:44:54.6208746Z Downloading pycparser-2.22-py3-none-any.whl (117 kB)
2025-01-24T00:44:54.6263401Z    ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 117.6/117.6 kB 28.7 MB/s eta 0:00:00
2025-01-24T00:44:54.9563186Z Installing collected packages: wrapt, urllib3, pycparser, Deprecated, cffi, pynacl, PyGithub
2025-01-24T00:44:55.4871669Z Successfully installed Deprecated-1.2.15 PyGithub-2.3.0 cffi-1.17.1 pycparser-2.22 pynacl-1.5.0 urllib3-1.26.18 wrapt-1.17.2
2025-01-24T00:44:55.5761882Z ##[group]Run curr_branch="ciflow/trunk/145539"
2025-01-24T00:44:55.5762266Z curr_branch="ciflow/trunk/145539"
2025-01-24T00:44:55.5762517Z curr_ref_type="tag"
2025-01-24T00:44:55.5762757Z echo "Current branch is '$curr_branch'"
2025-01-24T00:44:55.5763018Z 
2025-01-24T00:44:55.5763206Z python3 runner_determinator.py \
2025-01-24T00:44:55.5763484Z   --github-token "$GITHUB_TOKEN" \
2025-01-24T00:44:55.5763753Z   --github-issue "$ISSUE_NUMBER" \
2025-01-24T00:44:55.5764008Z   --github-branch "$curr_branch" \
2025-01-24T00:44:55.5764287Z   --github-actor "$TRIGGERING_ACTOR" \
2025-01-24T00:44:55.5764566Z   --github-issue-owner "$ISSUE_OWNER" \
2025-01-24T00:44:55.5764841Z   --github-ref-type "$curr_ref_type" \
2025-01-24T00:44:55.5765103Z   --github-repo "$GITHUB_REPOSITORY" \
2025-01-24T00:44:55.5765447Z   --eligible-experiments "$CHECK_EXPERIMENTS" \
2025-01-24T00:44:55.5765734Z   --pr-number "${PR_NUMBER}"
2025-01-24T00:44:55.5793855Z shell: /usr/bin/bash -e {0}
2025-01-24T00:44:55.5794089Z env:
2025-01-24T00:44:55.5794667Z   GITHUB_TOKEN: ***
2025-01-24T00:44:55.5794862Z   ISSUE_NUMBER: 5132
2025-01-24T00:44:55.5795073Z   TRIGGERING_ACTOR: pytorch-bot[bot]
2025-01-24T00:44:55.5795305Z   ISSUE_OWNER: 
2025-01-24T00:44:55.5795475Z   CHECK_EXPERIMENTS: 
2025-01-24T00:44:55.5795657Z   PR_NUMBER: 
2025-01-24T00:44:55.5795822Z ##[endgroup]
2025-01-24T00:44:55.5844033Z Current branch is 'ciflow/trunk/145539'
2025-01-24T00:44:57.8906228Z INFO    : Based on rollout percentage of 55%, enabling experiment lf.
2025-01-24T00:44:57.8907924Z INFO    : Skipping experiment 'awsa100', as it is not a default experiment
2025-01-24T00:44:57.8908897Z INFO    : Setting output: label-type='lf.'
2025-01-24T00:44:57.9229064Z Evaluate and set job outputs
2025-01-24T00:44:57.9235896Z Set output 'label-type'
2025-01-24T00:44:57.9237984Z Cleaning up orphan processes