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

import requests







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

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

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

														for i in range(A):
																					UpperCamelCase   			=     requests.get(url + f'''&page={i + 2}'''		,     headers=A).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_(     A						:		Dict		,     A						:		Optional[Any]=None):
							UpperCamelCase   			=     None
							if token is not None:
														UpperCamelCase   			=     {'Accept': 'application/vnd.github+json', 'Authorization': f'''Bearer {token}'''}

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

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

														for i in range(A):
																					UpperCamelCase   			=     requests.get(url + f'''&page={i + 2}'''		,     headers=A).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_(     A						:		int		,     A						:		Any		,     A						:		str		,     A						:		Dict):
							UpperCamelCase   			=     None
							if token is not None:
														UpperCamelCase   			=     {'Accept': 'application/vnd.github+json', 'Authorization': f'''Bearer {token}'''}

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







def 		A_(     A						:		str		,     A						:		Optional[int]=None):
							UpperCamelCase   			=     []
							UpperCamelCase   			=     []
							UpperCamelCase   			=     None

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

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

							UpperCamelCase   			=     None
							if job_name and job_links:
														UpperCamelCase   			=     job_links.get(A		,     A)

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

							return result







def 		A_(     A						:		List[Any]		,     A						:		Tuple=None):
							UpperCamelCase   			=     []

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

							return errors







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

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







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

							return test







def 		A_(     A						:		Optional[int]		,     A						:		Any=None):
							UpperCamelCase   			=     [(x[0], x[1], get_model(x[2])) for x in logs]
							UpperCamelCase   			=     [x for x in logs if x[2] is not None]
							UpperCamelCase   			=     {x[2] for x in logs}

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

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







def 		A_(     A						:		Optional[Any]):
							UpperCamelCase   			=     '| no. | error | status |'
							UpperCamelCase   			=     '|-:|:-|:-|'
							UpperCamelCase   			=     [header, sep]
							for error in reduced_by_error:
														UpperCamelCase   			=     reduced_by_error[error]['count']
														UpperCamelCase   			=     f'''| {count} | {error[:100]} |  |'''
														lines.append(A)

							return "\n".join(A)







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

							return "\n".join(A)


if __name__ == "__main__":
						lowerCAmelCase					:    Tuple           = 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					:    Optional[Any]           = 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					:    List[Any]           = {}
						# 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					:    Tuple           = k.find(' / ')
																								lowerCAmelCase					:    int           = k[index + len(' / ') :]
																		lowerCAmelCase					:    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					:    int           = get_all_errors(args.output_dir, job_links=job_links)

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

						# print the top 30 most common test errors
						lowerCAmelCase					:    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)

						lowerCAmelCase					:    str           = reduce_by_error(errors)
						lowerCAmelCase					:    List[str]           = reduce_by_model(errors)

						lowerCAmelCase					:    Union[str, Any]           = 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

lowerCAmelCase					:    Union[str, Any]           = [-10, -5, 0, 5, 5.1, 11, 13, 21, 3, 4, -21, -10, -5, -1, 0]
lowerCAmelCase					:    List[str]           = [-5, 0, 5, 5.1, 11, 13, 21, -1, 4, -1, -10, -5, -1, 0, -1]







def 		A_(     A						:		list[float]):
							UpperCamelCase   			=     []
							UpperCamelCase   			=     len(A)

							for i in range(A):
														UpperCamelCase   			=     -1
														for j in range(i + 1		,     A):
																					if arr[i] < arr[j]:
																												UpperCamelCase   			=     arr[j]
																												break
														result.append(A)
							return result







def 		A_(     A						:		list[float]):
							UpperCamelCase   			=     []
							for i, outer in enumerate(A):
														UpperCamelCase   			=     -1
														for inner in arr[i + 1 :]:
																					if outer < inner:
																												UpperCamelCase   			=     inner
																												break
														result.append(A)
							return result







def 		A_(     A						:		list[float]):
							UpperCamelCase   			=     len(A)
							UpperCamelCase   			=     []
							UpperCamelCase   			=     [-1] * arr_size

							for index in reversed(range(A)):
														if stack:
																					while stack[-1] <= arr[index]:
																												stack.pop()
																												if not stack:
																																			break
														if stack:
																					UpperCamelCase   			=     stack[-1]
														stack.append(arr[index])
							return result


if __name__ == "__main__":
						from doctest import testmod
						from timeit import timeit

						testmod()
						print(next_greatest_element_slow(arr))
						print(next_greatest_element_fast(arr))
						print(next_greatest_element(arr))

						lowerCAmelCase					:    Optional[Any]           = (
						    'from __main__ import arr, next_greatest_element_slow, '
						    'next_greatest_element_fast, next_greatest_element'
						)
						print(
						    'next_greatest_element_slow():',
						    timeit('next_greatest_element_slow(arr)', setup=setup),
						)
						print(
						    'next_greatest_element_fast():',
						    timeit('next_greatest_element_fast(arr)', setup=setup),
						)
						print(
						    '     next_greatest_element():',
						    timeit('next_greatest_element(arr)', setup=setup),
						)




