






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

import requests






def 						a    (		lowerCamelCase_	,     lowerCamelCase_=None       ):






				'''simple docstring'''
				lowercase__     				=    None
				if token is not None:
								lowercase__     				=    {'''Accept''': '''application/vnd.github+json''', '''Authorization''': F"""Bearer {token}"""}

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

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

								for i in range(lowerCamelCase_       ):
												lowercase__     				=    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 						a    (		lowerCamelCase_	,     lowerCamelCase_=None       ):






				'''simple docstring'''
				lowercase__     				=    None
				if token is not None:
								lowercase__     				=    {'''Accept''': '''application/vnd.github+json''', '''Authorization''': F"""Bearer {token}"""}

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

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

								for i in range(lowerCamelCase_       ):
												lowercase__     				=    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 						a    (		lowerCamelCase_	,     lowerCamelCase_	,     lowerCamelCase_	,     lowerCamelCase_       ):






				'''simple docstring'''
				lowercase__     				=    None
				if token is not None:
								lowercase__     				=    {'''Accept''': '''application/vnd.github+json''', '''Authorization''': F"""Bearer {token}"""}

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






def 						a    (		lowerCamelCase_	,     lowerCamelCase_=None       ):






				'''simple docstring'''
				lowercase__     				=    []
				lowercase__     				=    []
				lowercase__     				=    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:
																												lowercase__     				=    line.decode('''UTF-8'''       ).strip()
																												if filename == "failures_line.txt":
																																try:
																																				# `error_line` is the place where `error` occurs
																																				lowercase__     				=    line[: line.index(''': '''       )]
																																				lowercase__     				=    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
																																lowercase__     				=    line[len('''FAILED '''       ) :]
																																failed_tests.append(lowerCamelCase_       )
																												elif filename == "job_name.txt":
																																lowercase__     				=    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.'''       )

				lowercase__     				=    None
				if job_name and job_links:
								lowercase__     				=    job_links.get(lowerCamelCase_	,     lowerCamelCase_       )

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

				return result






def 						a    (		lowerCamelCase_	,     lowerCamelCase_=None       ):






				'''simple docstring'''
				lowercase__     				=    []

				lowercase__     				=    [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 						a    (		lowerCamelCase_	,     lowerCamelCase_=None       ):






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

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






def 						a    (		lowerCamelCase_       ):






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

				return test






def 						a    (		lowerCamelCase_	,     lowerCamelCase_=None       ):






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

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

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






def 						a    (		lowerCamelCase_       ):






				'''simple docstring'''
				lowercase__     				=    '''| no. | error | status |'''
				lowercase__     				=    '''|-:|:-|:-|'''
				lowercase__     				=    [header, sep]
				for error in reduced_by_error:
								lowercase__     				=    reduced_by_error[error]['''count''']
								lowercase__     				=    F"""| {count} | {error[:100]} |  |"""
								lines.append(lowerCamelCase_       )

				return "\n".join(lowerCamelCase_       )






def 						a    (		lowerCamelCase_       ):






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

				return "\n".join(lowerCamelCase_       )


if __name__ == "__main__":
							A__			:    str         =				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.')
							A__			:    List[Any]         =				parser.parse_args()

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

							A__			:    Any         =				get_job_links(args.workflow_run_id, token=args.token)
							A__			:    Dict         =				{}
							# 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:
																												A__			:    int         =				k.find(' / ')
																												A__			:    Optional[Any]         =				k[index + len(' / ') :]
																					A__			:    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)

							A__			:    Optional[int]         =				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)

							A__			:    int         =				get_all_errors(args.output_dir, job_links=job_links)

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

							# print the top 30 most common test errors
							A__			:    Optional[int]         =				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)

							A__			:    Dict         =				reduce_by_error(errors)
							A__			:    List[str]         =				reduce_by_model(errors)

							A__			:    Any         =				make_github_table(reduced_by_error)
							A__			:    Dict         =				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)












from itertools import count






def 						a    (		lowerCamelCase_ = 50       ):






				'''simple docstring'''
				lowercase__     				=    [1] * min_block_length

				for n in count(lowerCamelCase_       ):
								fill_count_functions.append(1       )

								for block_length in range(lowerCamelCase_	,     n + 1       ):
												for block_start in range(n - block_length       ):
																fill_count_functions[n] += fill_count_functions[
																    n - block_start - block_length - 1
																]

												fill_count_functions[n] += 1

								if fill_count_functions[n] > 100_0000:
												break

				return n


if __name__ == "__main__":
							print(F"{solution() = }")




