return response.data.updateDiscussionComment.comment


if __name__ == "__main__":
    settings = Settings()
    if settings.input_debug:
        logging.basicConfig(level=logging.DEBUG)
    else:
        logging.basicConfig(level=logging.INFO)
    logging.debug(f"Using config: {settings.json()}")
    g = Github(settings.input_token.get_secret_value())
    repo = g.get_repo(settings.github_repository)

    maintainers_logins = {"tiangolo"}
    bot_names = {"codecov", "github-actions", "pre-commit-ci", "dependabot"}
    maintainers = []
    for login in maintainers_logins:
        user = authors[login]
        maintainers.append(
            {
                "login": login,
                "answers": experts_results.commenters[login],

from jinja2 import Template

logging.basicConfig(level=logging.INFO)

app = typer.Typer()

mkdocs_name = "mkdocs.yml"

missing_translation_snippet = """
{!../../../docs/missing-translation.md!}
"""

docs_path = Path("docs")
en_docs_path = Path("docs/en")
en_config_path: Path = en_docs_path / mkdocs_name
site_path = Path("site").absolute()
build_site_path = Path("site_build").absolute()


@lru_cache

if __name__ == "__main__":
    logging.basicConfig(level=logging.INFO)
    settings = Settings()
    logging.info(f"Using config: {settings.json()}")
    g = Github(settings.input_token.get_secret_value())
    repo = g.get_repo(settings.github_repository)
    try:
        event = PartialGithubEvent.parse_file(settings.github_event_path)
    except ValidationError as e:
        logging.error(f"Error parsing event file: {e.errors()}")

import logging

TensorFlow API v2 init files and is stored in the wheel file after the build.

See README.md file for "how to run" instruction.
"""

import logging
import unittest
import pkg_resources

logging.basicConfig(level=logging.INFO)


class ImportApiPackagesTest(unittest.TestCase):
  """ImportApiPackagesTest class. See description at the top of the file."""

  def setUp(self):

#!/usr/bin/env python
# -*- coding: utf-8 -*-

import logging

import boto3
from boto3.session import Session
from botocore.session import get_session

from client_grants import ClientGrantsCredentialProvider

boto3.set_stream_logger('boto3.resources', logging.DEBUG)

bc_session = get_session()
bc_session.get_component('credential_provider').insert_before(
    'env',
    ClientGrantsCredentialProvider('NZLOOFRSluw9RfIkuHGqfk1HFp4a',

#!/usr/bin/env python
# -*- coding: utf-8 -*-

import json
import logging
import urllib
from uuid import uuid4

import boto3
import requests
from botocore.client import Config
from flask import Flask, request

boto3.set_stream_logger('boto3.resources', logging.DEBUG)

authorize_url = "http://localhost:8080/auth/realms/minio/protocol/openid-connect/auth"
token_url = "http://localhost:8080/auth/realms/minio/protocol/openid-connect/token"

from tensorflow.python.platform import tf_logging as _logging
from tensorflow.python.util.lazy_loader import LazyLoader as _LazyLoader
from tensorflow.python.util.lazy_loader import KerasLazyLoader as _KerasLazyLoader

# API IMPORTS PLACEHOLDER

# WRAPPER_PLACEHOLDER

if "dev" in __version__:   # pylint: disable=undefined-variable
  _logging.warning("""

          f'Bazel invocations.\n'
          f'ResultStore contains individual representations of each target '
          f'that were run/built during the invocation.\n'
          f'These results are generally easier to read than looking through '
          f'the entire build log:\n')
  i = 1
  for url, invocation_results in result_store_dict.items():
    line_str = f'Invocation #{i} ({invocation_results["status"]}):\n'