
import argparse
import json
import math
import os
import time
import traceback
import zipfile
from collections import Counter

import requests





def 				_lowerCamelCase      (       lowerCamelCase_:	Union[str, Any]					,						lowerCamelCase_:	Optional[int]=None		):



				'''simple docstring'''







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

				A  :	str				=					f"""https://api.github.com/repos/huggingface/transformers/actions/runs/{workflow_run_id}/jobs?per_page=100"""
				A  :	Optional[Any]				=					requests.get(lowerCamelCase_					,						headers=lowerCamelCase_		).json()
				A  :	List[str]				=					{}

				try:
								job_links.update({job['''name''']: job['''html_url'''] for job in result['''jobs''']}		)
								A  :	Dict				=					math.ceil((result['''total_count'''] - 100) / 100		)

								for i in range(lowerCamelCase_		):
												A  :	Tuple				=					requests.get(url + f"""&page={i + 2}"""					,						headers=lowerCamelCase_		).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      (       lowerCamelCase_:	Optional[int]					,						lowerCamelCase_:	Any=None		):



				'''simple docstring'''







				A  :	List[Any]				=					None
				if token is not None:
								A  :	Union[str, Any]				=					{'''Accept''': '''application/vnd.github+json''', '''Authorization''': f"""Bearer {token}"""}

				A  :	Optional[Any]				=					f"""https://api.github.com/repos/huggingface/transformers/actions/runs/{worflow_run_id}/artifacts?per_page=100"""
				A  :	Any				=					requests.get(lowerCamelCase_					,						headers=lowerCamelCase_		).json()
				A  :	Any				=					{}

				try:
								artifacts.update({artifact['''name''']: artifact['''archive_download_url'''] for artifact in result['''artifacts''']}		)
								A  :	Dict				=					math.ceil((result['''total_count'''] - 100) / 100		)

								for i in range(lowerCamelCase_		):
												A  :	str				=					requests.get(url + f"""&page={i + 2}"""					,						headers=lowerCamelCase_		).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      (       lowerCamelCase_:	List[str]					,						lowerCamelCase_:	int					,						lowerCamelCase_:	str					,						lowerCamelCase_:	List[Any]		):



				'''simple docstring'''







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

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





def 				_lowerCamelCase      (       lowerCamelCase_:	int					,						lowerCamelCase_:	Tuple=None		):



				'''simple docstring'''







				A  :	Optional[int]				=					[]
				A  :	List[Any]				=					[]
				A  :	Any				=					None

				with zipfile.ZipFile(lowerCamelCase_		) as z:
								for filename in z.namelist():
												if not os.path.isdir(lowerCamelCase_		):
																# read the file
																if filename in ["failures_line.txt", "summary_short.txt", "job_name.txt"]:
																				with z.open(lowerCamelCase_		) as f:
																								for line in f:
																												A  :	Optional[Any]				=					line.decode('''UTF-8'''		).strip()
																												if filename == "failures_line.txt":
																																try:
																																				# `error_line` is the place where `error` occurs
																																				A  :	str				=					line[: line.index(''': '''		)]
																																				A  :	Union[str, Any]				=					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
																																A  :	List[str]				=					line[len('''FAILED '''		) :]
																																failed_tests.append(lowerCamelCase_		)
																												elif filename == "job_name.txt":
																																A  :	Optional[Any]				=					line

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

				A  :	Optional[int]				=					None
				if job_name and job_links:
								A  :	Tuple				=					job_links.get(lowerCamelCase_					,						lowerCamelCase_		)

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

				return result





def 				_lowerCamelCase      (       lowerCamelCase_:	Optional[int]					,						lowerCamelCase_:	Optional[Any]=None		):



				'''simple docstring'''







				A  :	Dict				=					[]

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

				return errors





def 				_lowerCamelCase      (       lowerCamelCase_:	str					,						lowerCamelCase_:	Union[str, Any]=None		):



				'''simple docstring'''







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

				A  :	List[Any]				=					dict(sorted(r.items()					,						key=lambda lowerCamelCase_		: item[1]["count"]					,						reverse=lowerCamelCase_		)		)
				return r





def 				_lowerCamelCase      (       lowerCamelCase_:	Dict		):



				'''simple docstring'''







				A  :	Optional[int]				=					test.split('''::'''		)[0]
				if test.startswith('''tests/models/'''		):
								A  :	Union[str, Any]				=					test.split('''/'''		)[2]
				else:
								A  :	Dict				=					None

				return test





def 				_lowerCamelCase      (       lowerCamelCase_:	List[str]					,						lowerCamelCase_:	int=None		):



				'''simple docstring'''







				A  :	List[Any]				=					[(x[0], x[1], get_model(x[2]		)) for x in logs]
				A  :	Tuple				=					[x for x in logs if x[2] is not None]
				A  :	List[str]				=					{x[2] for x in logs}

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

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





def 				_lowerCamelCase      (       lowerCamelCase_:	List[Any]		):



				'''simple docstring'''







				A  :	List[Any]				=					'''| no. | error | status |'''
				A  :	Any				=					'''|-:|:-|:-|'''
				A  :	Dict				=					[header, sep]
				for error in reduced_by_error:
								A  :	str				=					reduced_by_error[error]['''count''']
								A  :	Union[str, Any]				=					f"""| {count} | {error[:100]} |  |"""
								lines.append(lowerCamelCase_		)

				return "\n".join(lowerCamelCase_		)





def 				_lowerCamelCase      (       lowerCamelCase_:	str		):



				'''simple docstring'''







				A  :	str				=					'''| model | no. of errors | major error | count |'''
				A  :	Union[str, Any]				=					'''|-:|-:|-:|-:|'''
				A  :	Union[str, Any]				=					[header, sep]
				for model in reduced_by_model:
								A  :	int				=					reduced_by_model[model]['''count''']
								A			,							A  :	str				=					list(reduced_by_model[model]['''errors'''].items()		)[0]
								A  :	Tuple				=					f"""| {model} | {count} | {error[:60]} | {_count} |"""
								lines.append(lowerCamelCase_		)

				return "\n".join(lowerCamelCase_		)


if __name__ == "__main__":
					UpperCamelCase_						=						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.")
					UpperCamelCase_						=						parser.parse_args()

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

					UpperCamelCase_						=						get_job_links(args.workflow_run_id, token=args.token)
					UpperCamelCase_						=						{}
					# 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:
																				UpperCamelCase_						=						k.find(" / ")
																				UpperCamelCase_						=						k[index + len(" / ") :]
															UpperCamelCase_						=						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)

					UpperCamelCase_						=						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)

					UpperCamelCase_						=						get_all_errors(args.output_dir, job_links=job_links)

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

					# print the top 30 most common test errors
					UpperCamelCase_						=						counter.most_common(30)
					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)

					UpperCamelCase_						=						reduce_by_error(errors)
					UpperCamelCase_						=						reduce_by_model(errors)

					UpperCamelCase_						=						make_github_table(reduced_by_error)
					UpperCamelCase_						=						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'''


import warnings

from ...utils import logging
from .image_processing_videomae import VideoMAEImageProcessor


_lowercase  =			logging.get_logger(__name__)
class 						a_				(			UpperCAmelCase__						):




	def __init__(       self     :  Tuple       ,		*__lowerCAmelCase     :  List[str]       ,		**__lowerCAmelCase     :  List[str]      ):
							warnings.warn(
							    'The class VideoMAEFeatureExtractor is deprecated and will be removed in version 5 of Transformers.'
							    ' Please use VideoMAEImageProcessor instead.'       ,		__lowerCAmelCase       ,		)
							super().__init__(*__lowerCAmelCase       ,		**__lowerCAmelCase      )

