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

import requests




def 	UpperCamelCase__  (     SCREAMING_SNAKE_CASE_	:	Union[str, Any]		,   SCREAMING_SNAKE_CASE_	:	Union[str, Any]=None       )  ->     Optional[Any]:
						_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(SCREAMING_SNAKE_CASE_		,   headers=SCREAMING_SNAKE_CASE_       ).json()
						_lowercase					       =					{}

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

												for i in range(SCREAMING_SNAKE_CASE_       ):
																		_lowercase					       =					requests.get(url + f"""&page={i + 2}"""		,   headers=SCREAMING_SNAKE_CASE_       ).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 	UpperCamelCase__  (     SCREAMING_SNAKE_CASE_	:	Any		,   SCREAMING_SNAKE_CASE_	:	Dict=None       )  ->     Union[str, Any]:
						_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(SCREAMING_SNAKE_CASE_		,   headers=SCREAMING_SNAKE_CASE_       ).json()
						_lowercase					       =					{}

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

												for i in range(SCREAMING_SNAKE_CASE_       ):
																		_lowercase					       =					requests.get(url + f"""&page={i + 2}"""		,   headers=SCREAMING_SNAKE_CASE_       ).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 	UpperCamelCase__  (     SCREAMING_SNAKE_CASE_	:	Optional[Any]		,   SCREAMING_SNAKE_CASE_	:	List[str]		,   SCREAMING_SNAKE_CASE_	:	Optional[int]		,   SCREAMING_SNAKE_CASE_	:	Dict       )  ->     List[Any]:
						_lowercase					       =					None
						if token is not None:
												_lowercase					       =					{"""Accept""": """application/vnd.github+json""", """Authorization""": f"""Bearer {token}"""}

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




def 	UpperCamelCase__  (     SCREAMING_SNAKE_CASE_	:	int		,   SCREAMING_SNAKE_CASE_	:	int=None       )  ->     Optional[int]:
						_lowercase					       =					[]
						_lowercase					       =					[]
						_lowercase					       =					None

						with zipfile.ZipFile(SCREAMING_SNAKE_CASE_       ) as z:
												for filename in z.namelist():
																		if not os.path.isdir(SCREAMING_SNAKE_CASE_       ):
																								# read the file
																								if filename in ["failures_line.txt", "summary_short.txt", "job_name.txt"]:
																														with z.open(SCREAMING_SNAKE_CASE_       ) 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(SCREAMING_SNAKE_CASE_       )
																																										elif filename == "job_name.txt":
																																																_lowercase					       =					line

						if len(SCREAMING_SNAKE_CASE_       ) != len(SCREAMING_SNAKE_CASE_       ):
												raise ValueError(
												    f"""`errors` and `failed_tests` should have the same number of elements. Got {len(SCREAMING_SNAKE_CASE_       )} for `errors` """
												    f"""and {len(SCREAMING_SNAKE_CASE_       )} 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(SCREAMING_SNAKE_CASE_		,   SCREAMING_SNAKE_CASE_       )

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

						return result




def 	UpperCamelCase__  (     SCREAMING_SNAKE_CASE_	:	Optional[int]		,   SCREAMING_SNAKE_CASE_	:	int=None       )  ->     Dict:
						_lowercase					       =					[]

						_lowercase					       =					[os.path.join(SCREAMING_SNAKE_CASE_		,   SCREAMING_SNAKE_CASE_       ) for p in os.listdir(SCREAMING_SNAKE_CASE_       ) if p.endswith(""".zip"""       )]
						for p in paths:
												errors.extend(get_errors_from_single_artifact(SCREAMING_SNAKE_CASE_		,   job_links=SCREAMING_SNAKE_CASE_       )       )

						return errors




def 	UpperCamelCase__  (     SCREAMING_SNAKE_CASE_	:	Any		,   SCREAMING_SNAKE_CASE_	:	Any=None       )  ->     int:
						_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 SCREAMING_SNAKE_CASE_       : item[1]["count"]		,   reverse=SCREAMING_SNAKE_CASE_       )       )
						return r




def 	UpperCamelCase__  (     SCREAMING_SNAKE_CASE_	:	Dict       )  ->     Optional[Any]:
						_lowercase					       =					test.split("""::"""       )[0]
						if test.startswith("""tests/models/"""       ):
												_lowercase					       =					test.split("""/"""       )[2]
						else:
												_lowercase					       =					None

						return test




def 	UpperCamelCase__  (     SCREAMING_SNAKE_CASE_	:	Union[str, Any]		,   SCREAMING_SNAKE_CASE_	:	Any=None       )  ->     Tuple:
						_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 SCREAMING_SNAKE_CASE_       : item[1]["count"]		,   reverse=SCREAMING_SNAKE_CASE_       )       )
						return r




def 	UpperCamelCase__  (     SCREAMING_SNAKE_CASE_	:	str       )  ->     Optional[Any]:
						_lowercase					       =					"""| no. | error | status |"""
						_lowercase					       =					"""|-:|:-|:-|"""
						_lowercase					       =					[header, sep]
						for error in reduced_by_error:
												_lowercase					       =					reduced_by_error[error]["""count"""]
												_lowercase					       =					f"""| {count} | {error[:1_00]} |  |"""
												lines.append(SCREAMING_SNAKE_CASE_       )

						return "\n".join(SCREAMING_SNAKE_CASE_       )




def 	UpperCamelCase__  (     SCREAMING_SNAKE_CASE_	:	List[str]       )  ->     Dict:
						_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(SCREAMING_SNAKE_CASE_       )

						return "\n".join(SCREAMING_SNAKE_CASE_       )


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		: Optional[int]								=     parser.parse_args()

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

		A		: Optional[int]								=     get_job_links(args.workflow_run_id, token=args.token)
		A		: 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:
								A		: str								=     k.find(''' / ''')
								A		: str								=     k[index + len(''' / ''') :]
						A		: List[str]								=     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		: Tuple								=     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		: Union[str, Any]								=     get_all_errors(args.output_dir, job_links=job_links)

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

		# print the top 30 most common test errors
		A		: Optional[Any]								=     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		: str								=     reduce_by_error(errors)
		A		: List[Any]								=     reduce_by_model(errors)

		A		: Tuple								=     make_github_table(reduced_by_error)
		A		: List[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)

import os

# Precomputes a list of the 100 first triangular numbers
A		: List[Any]								=     [int(0.5 * n * (n + 1)) for n in range(1, 101)]




def 	UpperCamelCase__  (     )  ->     str:
						_lowercase					       =					os.path.dirname(os.path.realpath(SCREAMING_SNAKE_CASE_       )       )
						_lowercase					       =					os.path.join(SCREAMING_SNAKE_CASE_		,   """words.txt"""       )

						_lowercase					       =					""""""
						with open(SCREAMING_SNAKE_CASE_       ) as f:
												_lowercase					       =					f.readline()

						_lowercase					       =					[word.strip("""\""""       ) for word in words.strip("""\r\n"""       ).split(""","""       )]
						_lowercase					       =					[
						    word
						    for word in [sum(ord(SCREAMING_SNAKE_CASE_       ) - 64 for x in word       ) for word in words]
						    if word in TRIANGULAR_NUMBERS
						]
						return len(SCREAMING_SNAKE_CASE_       )


if __name__ == "__main__":
		print(solution())