



'''simple docstring'''




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'''





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

			A_     :						Optional[Any]     =					f'https://api.github.com/repos/huggingface/transformers/actions/runs/{workflow_run_id}/jobs?per_page=100'
			A_     :						Dict     =					requests.get(lowerCamelCase__						,				headers=lowerCamelCase__   ).json()
			A_     :						Tuple     =					{}

			try:
						job_links.update({job["""name"""]: job["""html_url"""] for job in result["""jobs"""]}   )
						A_     :						Union[str, Any]     =					math.ceil((result["""total_count"""] - 1_00) / 1_00   )

						for i in range(lowerCamelCase__   ):
									A_     :						List[Any]     =					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'''





			A_     :						Optional[int]     =					None
			if token is not None:
						A_     :						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_     :						Tuple     =					requests.get(lowerCamelCase__						,				headers=lowerCamelCase__   ).json()
			A_     :						Any     =					{}

			try:
						artifacts.update({artifact["""name"""]: artifact["""archive_download_url"""] for artifact in result["""artifacts"""]}   )
						A_     :						Union[str, Any]     =					math.ceil((result["""total_count"""] - 1_00) / 1_00   )

						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      a      (			lowerCamelCase__						,				lowerCamelCase__						,				lowerCamelCase__						,				lowerCamelCase__   ):
			'''simple docstring'''





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

			A_     :						List[Any]     =					requests.get(lowerCamelCase__						,				headers=lowerCamelCase__						,				allow_redirects=lowerCamelCase__   )
			A_     :						Any     =					result.headers["""Location"""]
			A_     :						Union[str, Any]     =					requests.get(lowerCamelCase__						,				allow_redirects=lowerCamelCase__   )
			A_     :						Any     =					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'''





			A_     :						Dict     =					[]
			A_     :						Optional[int]     =					[]
			A_     :						int     =					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_     :						int     =					line.decode("""UTF-8"""   ).strip()
																					if filename == "failures_line.txt":
																								try:
																											# `error_line` is the place where `error` occurs
																											A_     :						Tuple     =					line[: line.index(""": """   )]
																											A_     :						Optional[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_     :						Optional[int]     =					line[len("""FAILED """   ) :]
																								failed_tests.append(lowerCamelCase__   )
																					elif filename == "job_name.txt":
																								A_     :						List[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_     :						Tuple     =					None
			if job_name and job_links:
						A_     :						Any     =					job_links.get(lowerCamelCase__						,				lowerCamelCase__   )

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

			return result



def      a      (			lowerCamelCase__						,				lowerCamelCase__=None   ):
			'''simple docstring'''





			A_     :						Dict     =					[]

			A_     :						int     =					[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'''





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

			A_     :						Optional[int]     =					dict(sorted(r.items()						,				key=lambda lowerCamelCase__   : item[1]["count"]						,				reverse=lowerCamelCase__   )   )
			return r



def      a      (			lowerCamelCase__   ):
			'''simple docstring'''





			A_     :						List[str]     =					test.split("""::"""   )[0]
			if test.startswith("""tests/models/"""   ):
						A_     :						Optional[Any]     =					test.split("""/"""   )[2]
			else:
						A_     :						str     =					None

			return test



def      a      (			lowerCamelCase__						,				lowerCamelCase__=None   ):
			'''simple docstring'''





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

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

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



def      a      (			lowerCamelCase__   ):
			'''simple docstring'''





			A_     :						Dict     =					"""| no. | error | status |"""
			A_     :						Any     =					"""|-:|:-|:-|"""
			A_     :						Optional[int]     =					[header, sep]
			for error in reduced_by_error:
						A_     :						Optional[int]     =					reduced_by_error[error]["""count"""]
						A_     :						int     =					f'| {count} | {error[:1_00]} |  |'
						lines.append(lowerCamelCase__   )

			return "\n".join(lowerCamelCase__   )



def      a      (			lowerCamelCase__   ):
			'''simple docstring'''





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

			return "\n".join(lowerCamelCase__   )


if __name__ == "__main__":
						lowerCamelCase							: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							: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							:Optional[int]       = {}
						# 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							:Optional[Any]       = k.find(''' / ''')
																								lowerCamelCase							:str       = k[index + len(''' / ''') :]
																		lowerCamelCase							:Optional[int]       = 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							: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)

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

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

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

						lowerCamelCase							:str       = make_github_table(reduced_by_error)
						lowerCamelCase							:Union[str, Any]       = 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

from collections.abc import Callable

lowerCamelCase							:List[Any]       = list[list[float | int]]



def      a      (			lowerCamelCase__						,				lowerCamelCase__   ):
			'''simple docstring'''





			A_     :						int     =					len(lowerCamelCase__   )
			A_     :						Matrix     =					[[0 for _ in range(size + 1   )] for _ in range(lowerCamelCase__   )]
			A_     :						int
			A_     :						int
			A_     :						int
			A_     :						int
			A_     :						int
			A_     :						float

			for row in range(lowerCamelCase__   ):
						for col in range(lowerCamelCase__   ):
									A_     :						List[str]     =					matrix[row][col]

						A_     :						Optional[int]     =					vector[row][0]

			A_     :						Tuple     =					0
			A_     :						Tuple     =					0
			while row < size and col < size:
						# pivoting
						A_     :						Dict     =					max((abs(augmented[rowa][col]   ), rowa) for rowa in range(lowerCamelCase__						,				lowerCamelCase__   )   )[
						    1
						]
						if augmented[pivot_row][col] == 0:
									col += 1
									continue
						else:
									A_,   A_     :						Optional[Any]     =					augmented[pivot_row], augmented[row]

						for rowa in range(row + 1						,				lowerCamelCase__   ):
									A_     :						int     =					augmented[rowa][col] / augmented[row][col]
									A_     :						Union[str, Any]     =					0
									for cola in range(col + 1						,				size + 1   ):
												augmented[rowa][cola] -= augmented[row][cola] * ratio

						row += 1
						col += 1

			# back substitution
			for col in range(1						,				lowerCamelCase__   ):
						for row in range(lowerCamelCase__   ):
									A_     :						Tuple     =					augmented[row][col] / augmented[col][col]
									for cola in range(lowerCamelCase__						,				size + 1   ):
												augmented[row][cola] -= augmented[col][cola] * ratio

    # round to get rid of numbers like 2.000000000000004
			return [
			    [round(augmented[row][size] / augmented[row][row]						,				10   )] for row in range(lowerCamelCase__   )
			]



def      a      (			lowerCamelCase__   ):
			'''simple docstring'''





			A_     :						int     =					len(lowerCamelCase__   )
			A_     :						Matrix     =					[[0 for _ in range(lowerCamelCase__   )] for _ in range(lowerCamelCase__   )]
			A_     :						Matrix     =					[[0] for _ in range(lowerCamelCase__   )]
			A_     :						Matrix
			A_     :						int
			A_     :						int
			A_     :						int

			for x_val, y_val in enumerate(lowerCamelCase__   ):
						for col in range(lowerCamelCase__   ):
									A_     :						Dict     =					(x_val + 1) ** (size - col - 1)
						A_     :						Any     =					y_val

			A_     :						Dict     =					solve(lowerCamelCase__						,				lowerCamelCase__   )

			def interpolated_func(lowerCamelCase__   ) -> int:
						return sum(
						    round(coeffs[x_val][0]   ) * (var ** (size - x_val - 1))
						    for x_val in range(lowerCamelCase__   )   )

			return interpolated_func



def      a      (			lowerCamelCase__   ):
			'''simple docstring'''





			return (
			    1
			    - variable
			    + variable**2
			    - variable**3
			    + variable**4
			    - variable**5
			    + variable**6
			    - variable**7
			    + variable**8
			    - variable**9
			    + variable**10
			)



def      a      (			lowerCamelCase__ = question_function						,				lowerCamelCase__ = 10   ):
			'''simple docstring'''





			A_     :						list[int]     =					[func(lowerCamelCase__   ) for x_val in range(1						,				order + 1   )]

			A_     :						list[Callable[[int], int]]     =					[
			    interpolate(data_points[:max_coeff]   ) for max_coeff in range(1						,				order + 1   )
			]

			A_     :						int     =					0
			A_     :						Callable[[int], int]
			A_     :						int

			for poly in polynomials:
						A_     :						int     =					1
						while func(lowerCamelCase__   ) == poly(lowerCamelCase__   ):
									x_val += 1

						ret += poly(lowerCamelCase__   )

			return ret


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