

'''simple docstring'''
import argparse
import json
import math
import os
import time
import traceback
import zipfile
from collections import Counter

import requests


def 	_lowerCAmelCase (						_UpperCamelCase						:					Optional[Any]							,			_UpperCamelCase						:					List[str]=None    )				->      int:
     """simple docstring"""




     _SCREAMING_SNAKE_CASE							   =None
     if token is not None:
          _SCREAMING_SNAKE_CASE							   ={'Accept': 'application/vnd.github+json', 'Authorization': f"Bearer {token}"}

     _SCREAMING_SNAKE_CASE							   =f"https://api.github.com/repos/huggingface/transformers/actions/runs/{workflow_run_id}/jobs?per_page=100"
     _SCREAMING_SNAKE_CASE							   =requests.get(_UpperCamelCase							,			headers=_UpperCamelCase    ).json()
     _SCREAMING_SNAKE_CASE							   ={}

     try:
          job_links.update({job['name']: job['html_url'] for job in result['jobs']}    )
          _SCREAMING_SNAKE_CASE							   =math.ceil((result['total_count'] - 1_00) / 1_00    )

          for i in range(_UpperCamelCase    ):
               _SCREAMING_SNAKE_CASE							   =requests.get(url + f"&page={i + 2}"							,			headers=_UpperCamelCase    ).json()
               job_links.update({job['name']: job['html_url'] for job in result['jobs']}    )

          return job_links
     except Exception:
          print(f"Unknown error, could not fetch links:\n{traceback.format_exc()}"    )

     return {}


def 	_lowerCAmelCase (						_UpperCamelCase						:					Optional[int]							,			_UpperCamelCase						:					Dict=None    )				->      Any:
     """simple docstring"""




     _SCREAMING_SNAKE_CASE							   =None
     if token is not None:
          _SCREAMING_SNAKE_CASE							   ={'Accept': 'application/vnd.github+json', 'Authorization': f"Bearer {token}"}

     _SCREAMING_SNAKE_CASE							   =f"https://api.github.com/repos/huggingface/transformers/actions/runs/{worflow_run_id}/artifacts?per_page=100"
     _SCREAMING_SNAKE_CASE							   =requests.get(_UpperCamelCase							,			headers=_UpperCamelCase    ).json()
     _SCREAMING_SNAKE_CASE							   ={}

     try:
          artifacts.update({artifact['name']: artifact['archive_download_url'] for artifact in result['artifacts']}    )
          _SCREAMING_SNAKE_CASE							   =math.ceil((result['total_count'] - 1_00) / 1_00    )

          for i in range(_UpperCamelCase    ):
               _SCREAMING_SNAKE_CASE							   =requests.get(url + f"&page={i + 2}"							,			headers=_UpperCamelCase    ).json()
               artifacts.update({artifact['name']: artifact['archive_download_url'] for artifact in result['artifacts']}    )

          return artifacts
     except Exception:
          print(f"Unknown error, could not fetch links:\n{traceback.format_exc()}"    )

     return {}


def 	_lowerCAmelCase (						_UpperCamelCase						:					List[str]							,			_UpperCamelCase						:					Optional[int]							,			_UpperCamelCase						:					List[str]							,			_UpperCamelCase						:					Optional[int]    )				->      List[str]:
     """simple docstring"""




     _SCREAMING_SNAKE_CASE							   =None
     if token is not None:
          _SCREAMING_SNAKE_CASE							   ={'Accept': 'application/vnd.github+json', 'Authorization': f"Bearer {token}"}

     _SCREAMING_SNAKE_CASE							   =requests.get(_UpperCamelCase							,			headers=_UpperCamelCase							,			allow_redirects=_UpperCamelCase    )
     _SCREAMING_SNAKE_CASE							   =result.headers['Location']
     _SCREAMING_SNAKE_CASE							   =requests.get(_UpperCamelCase							,			allow_redirects=_UpperCamelCase    )
     _SCREAMING_SNAKE_CASE							   =os.path.join(_UpperCamelCase							,			f"{artifact_name}.zip"    )
     with open(_UpperCamelCase							,			'wb'    ) as fp:
          fp.write(response.content    )


def 	_lowerCAmelCase (						_UpperCamelCase						:					List[Any]							,			_UpperCamelCase						:					Optional[Any]=None    )				->      str:
     """simple docstring"""




     _SCREAMING_SNAKE_CASE							   =[]
     _SCREAMING_SNAKE_CASE							   =[]
     _SCREAMING_SNAKE_CASE							   =None

     with zipfile.ZipFile(_UpperCamelCase    ) as z:
          for filename in z.namelist():
               if not os.path.isdir(_UpperCamelCase    ):
                    # read the file
                    if filename in ["failures_line.txt", "summary_short.txt", "job_name.txt"]:
                         with z.open(_UpperCamelCase    ) as f:
                              for line in f:
                                   _SCREAMING_SNAKE_CASE							   =line.decode('UTF-8'    ).strip()
                                   if filename == "failures_line.txt":
                                        try:
                                             # `error_line` is the place where `error` occurs
                                             _SCREAMING_SNAKE_CASE							   =line[: line.index(': '    )]
                                             _SCREAMING_SNAKE_CASE							   =line[line.index(': '    ) + len(': '    ) :]
                                             errors.append([error_line, error]    )
                                        except Exception:
                                             # skip un-related lines
                                             pass
                                   elif filename == "summary_short.txt" and line.startswith('FAILED '    ):
                                        # `test` is the test method that failed
                                        _SCREAMING_SNAKE_CASE							   =line[len('FAILED '    ) :]
                                        failed_tests.append(_UpperCamelCase    )
                                   elif filename == "job_name.txt":
                                        _SCREAMING_SNAKE_CASE							   =line

     if len(_UpperCamelCase    ) != len(_UpperCamelCase    ):
          raise ValueError(
              f"`errors` and `failed_tests` should have the same number of elements. Got {len(_UpperCamelCase    )} for `errors` "
              f"and {len(_UpperCamelCase    )} for `failed_tests` instead. The test reports in {artifact_zip_path} have some"
              ' problem.'    )

     _SCREAMING_SNAKE_CASE							   =None
     if job_name and job_links:
          _SCREAMING_SNAKE_CASE							   =job_links.get(_UpperCamelCase							,			_UpperCamelCase    )

     # A list with elements of the form (line of error, error, failed test)
     _SCREAMING_SNAKE_CASE							   =[x + [y] + [job_link] for x, y in zip(_UpperCamelCase							,			_UpperCamelCase    )]

     return result


def 	_lowerCAmelCase (						_UpperCamelCase						:					List[str]							,			_UpperCamelCase						:					str=None    )				->      int:
     """simple docstring"""




     _SCREAMING_SNAKE_CASE							   =[]

     _SCREAMING_SNAKE_CASE							   =[os.path.join(_UpperCamelCase							,			_UpperCamelCase    ) for p in os.listdir(_UpperCamelCase    ) if p.endswith('.zip'    )]
     for p in paths:
          errors.extend(get_errors_from_single_artifact(_UpperCamelCase							,			job_links=_UpperCamelCase    )    )

     return errors


def 	_lowerCAmelCase (						_UpperCamelCase						:					List[Any]							,			_UpperCamelCase						:					Any=None    )				->      Any:
     """simple docstring"""




     _SCREAMING_SNAKE_CASE							   =Counter()
     counter.update([x[1] for x in logs]    )
     _SCREAMING_SNAKE_CASE							   =counter.most_common()
     _SCREAMING_SNAKE_CASE							   ={}
     for error, count in counts:
          if error_filter is None or error not in error_filter:
               _SCREAMING_SNAKE_CASE							   ={'count': count, 'failed_tests': [(x[2], x[0]) for x in logs if x[1] == error]}

     _SCREAMING_SNAKE_CASE							   =dict(sorted(r.items()							,			key=lambda _UpperCamelCase    : item[1]["count"]							,			reverse=_UpperCamelCase    )    )
     return r


def 	_lowerCAmelCase (						_UpperCamelCase						:					str    )				->      Any:
     """simple docstring"""




     _SCREAMING_SNAKE_CASE							   =test.split('::'    )[0]
     if test.startswith('tests/models/'    ):
          _SCREAMING_SNAKE_CASE							   =test.split('/'    )[2]
     else:
          _SCREAMING_SNAKE_CASE							   =None

     return test


def 	_lowerCAmelCase (						_UpperCamelCase						:					Optional[int]							,			_UpperCamelCase						:					str=None    )				->      str:
     """simple docstring"""




     _SCREAMING_SNAKE_CASE							   =[(x[0], x[1], get_model(x[2]    )) for x in logs]
     _SCREAMING_SNAKE_CASE							   =[x for x in logs if x[2] is not None]
     _SCREAMING_SNAKE_CASE							   ={x[2] for x in logs}

     _SCREAMING_SNAKE_CASE							   ={}
     for test in tests:
          _SCREAMING_SNAKE_CASE							   =Counter()
          # count by errors in `test`
          counter.update([x[1] for x in logs if x[2] == test]    )
          _SCREAMING_SNAKE_CASE							   =counter.most_common()
          _SCREAMING_SNAKE_CASE							   ={error: count for error, count in counts if (error_filter is None or error not in error_filter)}
          _SCREAMING_SNAKE_CASE							   =sum(error_counts.values()    )
          if n_errors > 0:
               _SCREAMING_SNAKE_CASE							   ={'count': n_errors, 'errors': error_counts}

     _SCREAMING_SNAKE_CASE							   =dict(sorted(r.items()							,			key=lambda _UpperCamelCase    : item[1]["count"]							,			reverse=_UpperCamelCase    )    )
     return r


def 	_lowerCAmelCase (						_UpperCamelCase						:					Any    )				->      Union[str, Any]:
     """simple docstring"""




     _SCREAMING_SNAKE_CASE							   ='| no. | error | status |'
     _SCREAMING_SNAKE_CASE							   ='|-:|:-|:-|'
     _SCREAMING_SNAKE_CASE							   =[header, sep]
     for error in reduced_by_error:
          _SCREAMING_SNAKE_CASE							   =reduced_by_error[error]['count']
          _SCREAMING_SNAKE_CASE							   =f"| {count} | {error[:1_00]} |  |"
          lines.append(_UpperCamelCase    )

     return "\n".join(_UpperCamelCase    )


def 	_lowerCAmelCase (						_UpperCamelCase						:					str    )				->      Union[str, Any]:
     """simple docstring"""




     _SCREAMING_SNAKE_CASE							   ='| model | no. of errors | major error | count |'
     _SCREAMING_SNAKE_CASE							   ='|-:|-:|-:|-:|'
     _SCREAMING_SNAKE_CASE							   =[header, sep]
     for model in reduced_by_model:
          _SCREAMING_SNAKE_CASE							   =reduced_by_model[model]['count']
          _SCREAMING_SNAKE_CASE   ,						_SCREAMING_SNAKE_CASE							   =list(reduced_by_model[model]['errors'].items()    )[0]
          _SCREAMING_SNAKE_CASE							   =f"| {model} | {count} | {error[:60]} | {_count} |"
          lines.append(_UpperCamelCase    )

     return "\n".join(_UpperCamelCase    )


if __name__ == "__main__":
     lowerCamelCase			:				Optional[int] 			=					argparse.ArgumentParser()
     # Required parameters
     parser.add_argument("--workflow_run_id", type=str, required=True, help="A GitHub Actions workflow run id.")
     parser.add_argument(
         "--output_dir",
         type=str,
         required=True,
         help="Where to store the downloaded artifacts and other result files.",
     )
     parser.add_argument("--token", default=None, type=str, help="A token that has actions:read permission.")
     lowerCamelCase			:				List[str] 			=					parser.parse_args()

     os.makedirs(args.output_dir, exist_ok=True)

     lowerCamelCase			:				List[Any] 			=					get_job_links(args.workflow_run_id, token=args.token)
     lowerCamelCase			:				str 			=					{}
     # To deal with `workflow_call` event, where a job name is the combination of the job names in the caller and callee.
     # For example, `PyTorch 1.11 / Model tests (models/albert, single-gpu)`.
     if _job_links:
          for k, v in _job_links.items():
               # This is how GitHub actions combine job names.
               if " / " in k:
                    lowerCamelCase			:				int 			=					k.find(" / ")
                    lowerCamelCase			:				List[Any] 			=					k[index + len(" / ") :]
               lowerCamelCase			:				Optional[Any] 			=					v
     with open(os.path.join(args.output_dir, "job_links.json"), "w", encoding="UTF-8") as fp:
          json.dump(job_links, fp, ensure_ascii=False, indent=4)

     lowerCamelCase			:				Optional[Any] 			=					get_artifacts_links(args.workflow_run_id, token=args.token)
     with open(os.path.join(args.output_dir, "artifacts.json"), "w", encoding="UTF-8") as fp:
          json.dump(artifacts, fp, ensure_ascii=False, indent=4)

     for idx, (name, url) in enumerate(artifacts.items()):
          download_artifact(name, url, args.output_dir, args.token)
          # Be gentle to GitHub
          time.sleep(1)

     lowerCamelCase			:				List[Any] 			=					get_all_errors(args.output_dir, job_links=job_links)

     # `e[1]` is the error
     lowerCamelCase			:				Any 			=					Counter()
     counter.update([e[1] for e in errors])

     # print the top 30 most common test errors
     lowerCamelCase			:				Union[str, Any] 			=					counter.most_common(3_0)
     for item in most_common:
          print(item)

     with open(os.path.join(args.output_dir, "errors.json"), "w", encoding="UTF-8") as fp:
          json.dump(errors, fp, ensure_ascii=False, indent=4)

     lowerCamelCase			:				List[str] 			=					reduce_by_error(errors)
     lowerCamelCase			:				Union[str, Any] 			=					reduce_by_model(errors)

     lowerCamelCase			:				str 			=					make_github_table(reduced_by_error)
     lowerCamelCase			:				str 			=					make_github_table_per_model(reduced_by_model)

     with open(os.path.join(args.output_dir, "reduced_by_error.txt"), "w", encoding="UTF-8") as fp:
          fp.write(sa)
     with open(os.path.join(args.output_dir, "reduced_by_model.txt"), "w", encoding="UTF-8") as fp:
          fp.write(sa)



'''simple docstring'''
from __future__ import annotations

import json

import requests
from bsa import BeautifulSoup
from fake_useragent import UserAgent

lowerCamelCase			:				List[str] 			=					{"UserAgent": UserAgent().random}


def 	_lowerCAmelCase (						_UpperCamelCase						:					str    )				->      dict:
     """simple docstring"""




     _SCREAMING_SNAKE_CASE							   =script.contents[0]
     _SCREAMING_SNAKE_CASE							   =json.loads(data[data.find('{"config"'    ) : -1]    )
     return info["entry_data"]["ProfilePage"][0]["graphql"]["user"]







class 							A__   :





  def __init__(		self				:     int							, _a				:     List[Any]			)     ->   Optional[int]:





       '''simple docstring'''






       _SCREAMING_SNAKE_CASE							   =f"https://www.instagram.com/{username}/"
       _SCREAMING_SNAKE_CASE							   =self.get_json()





  def 						A  (		self				:     Optional[int]			)     ->   dict:





       '''simple docstring'''






       _SCREAMING_SNAKE_CASE							   =requests.get(self.url							, headers=_a			).text
       _SCREAMING_SNAKE_CASE							   =BeautifulSoup(_a							, 'html.parser'			).find_all('script'			)
       try:
            return extract_user_profile(scripts[4]			)
       except (json.decoder.JSONDecodeError, KeyError):
            return extract_user_profile(scripts[3]			)





  def __repr__(		self				:     str			)     ->   str:





       '''simple docstring'''






       return f"{self.__class__.__name__}('{self.username}')"





  def __str__(		self				:     Optional[int]			)     ->   str:





       '''simple docstring'''






       return f"{self.fullname} ({self.username}) is {self.biography}"





  @property
  def 						A  (		self				:     List[Any]			)     ->   str:





       '''simple docstring'''






       return self.user_data["username"]





  @property
  def 						A  (		self				:     str			)     ->   str:





       '''simple docstring'''






       return self.user_data["full_name"]





  @property
  def 						A  (		self				:     Any			)     ->   str:





       '''simple docstring'''






       return self.user_data["biography"]





  @property
  def 						A  (		self				:     Optional[Any]			)     ->   str:





       '''simple docstring'''






       return self.user_data["business_email"]





  @property
  def 						A  (		self				:     Tuple			)     ->   str:





       '''simple docstring'''






       return self.user_data["external_url"]





  @property
  def 						A  (		self				:     Optional[int]			)     ->   int:





       '''simple docstring'''






       return self.user_data["edge_followed_by"]["count"]





  @property
  def 						A  (		self				:     Union[str, Any]			)     ->   int:





       '''simple docstring'''






       return self.user_data["edge_follow"]["count"]





  @property
  def 						A  (		self				:     List[str]			)     ->   int:





       '''simple docstring'''






       return self.user_data["edge_owner_to_timeline_media"]["count"]





  @property
  def 						A  (		self				:     Union[str, Any]			)     ->   str:





       '''simple docstring'''






       return self.user_data["profile_pic_url_hd"]





  @property
  def 						A  (		self				:     Dict			)     ->   bool:





       '''simple docstring'''






       return self.user_data["is_verified"]





  @property
  def 						A  (		self				:     Tuple			)     ->   bool:





       '''simple docstring'''






       return self.user_data["is_private"]


def 	_lowerCAmelCase (						_UpperCamelCase						:					str = "github"    )				->      None:
     """simple docstring"""




     import os

     if os.environ.get('CI'    ):
          return  # test failing on GitHub Actions
     _SCREAMING_SNAKE_CASE							   =InstagramUser(_UpperCamelCase    )
     assert instagram_user.user_data
     assert isinstance(instagram_user.user_data							,			_UpperCamelCase    )
     assert instagram_user.username == username
     if username != "github":
          return
     assert instagram_user.fullname == "GitHub"
     assert instagram_user.biography == "Built for developers."
     assert instagram_user.number_of_posts > 1_50
     assert instagram_user.number_of_followers > 12_00_00
     assert instagram_user.number_of_followings > 15
     assert instagram_user.email == "support@github.com"
     assert instagram_user.website == "https://github.com/readme"
     assert instagram_user.profile_picture_url.startswith('https://instagram.'    )
     assert instagram_user.is_verified is True
     assert instagram_user.is_private is False


if __name__ == "__main__":
     import doctest

     doctest.testmod()
     lowerCamelCase			:				Optional[int] 			=					InstagramUser("github")
     print(instagram_user)
     print(f'''{instagram_user.number_of_posts = }''')
     print(f'''{instagram_user.number_of_followers = }''')
     print(f'''{instagram_user.number_of_followings = }''')
     print(f'''{instagram_user.email = }''')
     print(f'''{instagram_user.website = }''')
     print(f'''{instagram_user.profile_picture_url = }''')
     print(f'''{instagram_user.is_verified = }''')
     print(f'''{instagram_user.is_private = }''')
