



"""simple docstring"""

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

import requests





def    __magic_name__     ( _lowerCamelCase					:			Dict	,							_lowerCamelCase					:			Optional[Any]=None       ):
							__a		:		Union[str, Any]						=							None
							if token is not None:
														__a		:		List[str]						=							{"""Accept""": """application/vnd.github+json""", """Authorization""": F'''Bearer {token}'''}

							__a		:		Optional[int]						=							F'''https://api.github.com/repos/huggingface/transformers/actions/runs/{workflow_run_id}/jobs?per_page=100'''
							__a		:		int						=							requests.get(UpperCamelCase__	,							headers=UpperCamelCase__       ).json()
							__a		:		str						=							{}

							try:
														job_links.update({job["""name"""]: job["""html_url"""] for job in result["""jobs"""]}       )
														__a		:		Dict						=							math.ceil((result["""total_count"""] - 1_0_0) / 1_0_0       )

														for i in range(UpperCamelCase__       ):
																					__a		:		Dict						=							requests.get(url + F'''&page={i + 2}'''	,							headers=UpperCamelCase__       ).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    __magic_name__     ( _lowerCamelCase					:			Dict	,							_lowerCamelCase					:			str=None       ):
							__a		:		Optional[int]						=							None
							if token is not None:
														__a		:		Any						=							{"""Accept""": """application/vnd.github+json""", """Authorization""": F'''Bearer {token}'''}

							__a		:		List[Any]						=							F'''https://api.github.com/repos/huggingface/transformers/actions/runs/{worflow_run_id}/artifacts?per_page=100'''
							__a		:		Dict						=							requests.get(UpperCamelCase__	,							headers=UpperCamelCase__       ).json()
							__a		:		Optional[int]						=							{}

							try:
														artifacts.update({artifact["""name"""]: artifact["""archive_download_url"""] for artifact in result["""artifacts"""]}       )
														__a		:		Any						=							math.ceil((result["""total_count"""] - 1_0_0) / 1_0_0       )

														for i in range(UpperCamelCase__       ):
																					__a		:		Optional[Any]						=							requests.get(url + F'''&page={i + 2}'''	,							headers=UpperCamelCase__       ).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    __magic_name__     ( _lowerCamelCase					:			Any	,							_lowerCamelCase					:			List[Any]	,							_lowerCamelCase					:			Tuple	,							_lowerCamelCase					:			Optional[Any]       ):
							__a		:		str						=							None
							if token is not None:
														__a		:		str						=							{"""Accept""": """application/vnd.github+json""", """Authorization""": F'''Bearer {token}'''}

							__a		:		Any						=							requests.get(UpperCamelCase__	,							headers=UpperCamelCase__	,							allow_redirects=UpperCamelCase__       )
							__a		:		Union[str, Any]						=							result.headers["""Location"""]
							__a		:		Dict						=							requests.get(UpperCamelCase__	,							allow_redirects=UpperCamelCase__       )
							__a		:		int						=							os.path.join(UpperCamelCase__	,							F'''{artifact_name}.zip'''       )
							with open(UpperCamelCase__	,							"""wb"""       ) as fp:
														fp.write(response.content       )





def    __magic_name__     ( _lowerCamelCase					:			int	,							_lowerCamelCase					:			Any=None       ):
							__a		:		Union[str, Any]						=							[]
							__a		:		List[Any]						=							[]
							__a		:		Union[str, Any]						=							None

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

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

							__a		:		Union[str, Any]						=							None
							if job_name and job_links:
														__a		:		Tuple						=							job_links.get(UpperCamelCase__	,							UpperCamelCase__       )

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

							return result





def    __magic_name__     ( _lowerCamelCase					:			Tuple	,							_lowerCamelCase					:			Any=None       ):
							__a		:		Any						=							[]

							__a		:		Union[str, Any]						=							[os.path.join(UpperCamelCase__	,							UpperCamelCase__       ) for p in os.listdir(UpperCamelCase__       ) if p.endswith(""".zip"""       )]
							for p in paths:
														errors.extend(get_errors_from_single_artifact(UpperCamelCase__	,							job_links=UpperCamelCase__       )       )

							return errors





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

							__a		:		List[str]						=							dict(sorted(r.items()	,							key=lambda _lowerCamelCase       : item[1]["count"]	,							reverse=UpperCamelCase__       )       )
							return r





def    __magic_name__     ( _lowerCamelCase					:			Tuple       ):
							__a		:		List[Any]						=							test.split("""::"""       )[0]
							if test.startswith("""tests/models/"""       ):
														__a		:		List[str]						=							test.split("""/"""       )[2]
							else:
														__a		:		Optional[int]						=							None

							return test





def    __magic_name__     ( _lowerCamelCase					:			Tuple	,							_lowerCamelCase					:			Any=None       ):
							__a		:		Tuple						=							[(x[0], x[1], get_model(x[2]       )) for x in logs]
							__a		:		int						=							[x for x in logs if x[2] is not None]
							__a		:		List[Any]						=							{x[2] for x in logs}

							__a		:		Union[str, Any]						=							{}
							for test in tests:
														__a		:		Optional[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		:		str						=							{error: count for error, count in counts if (error_filter is None or error not in error_filter)}
														__a		:		Tuple						=							sum(error_counts.values()       )
														if n_errors > 0:
																					__a		:		str						=							{"""count""": n_errors, """errors""": error_counts}

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





def    __magic_name__     ( _lowerCamelCase					:			Tuple       ):
							__a		:		Union[str, Any]						=							"""| no. | error | status |"""
							__a		:		Optional[int]						=							"""|-:|:-|:-|"""
							__a		:		Any						=							[header, sep]
							for error in reduced_by_error:
														__a		:		Optional[Any]						=							reduced_by_error[error]["""count"""]
														__a		:		Tuple						=							F'''| {count} | {error[:1_0_0]} |  |'''
														lines.append(UpperCamelCase__       )

							return "\n".join(UpperCamelCase__       )





def    __magic_name__     ( _lowerCamelCase					:			Tuple       ):
							__a		:		List[str]						=							"""| model | no. of errors | major error | count |"""
							__a		:		Tuple						=							"""|-:|-:|-:|-:|"""
							__a		:		Tuple						=							[header, sep]
							for model in reduced_by_model:
														__a		:		str						=							reduced_by_model[model]["""count"""]
														__a				,  __a		:		Any						=							list(reduced_by_model[model]["""errors"""].items()       )[0]
														__a		:		Any						=							F'''| {model} | {count} | {error[:6_0]} | {_count} |'''
														lines.append(UpperCamelCase__       )

							return "\n".join(UpperCamelCase__       )


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

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

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

	lowercase__       =	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)

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

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

	# print the top 30 most common test errors
	lowercase__       =	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)

	lowercase__       =	reduce_by_error(errors)
	lowercase__       =	reduce_by_model(errors)

	lowercase__       =	make_github_table(reduced_by_error)
	lowercase__       =	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 argparse
import logging
import pickle
from collections import Counter


logging.basicConfig(
    format='%(asctime)s - %(levelname)s - %(name)s - %(message)s', datefmt='%m/%d/%Y %H:%M:%S', level=logging.INFO
)
_lowerCamelCase 					=      logging.getLogger(__name__)

if __name__ == "__main__":
	_lowerCamelCase 					=      argparse.ArgumentParser(
	    description='Token Counts for smoothing the masking probabilities in MLM (cf XLM/word2vec)'
	)
	parser.add_argument(
	    '--data_file', type=str, default='data/dump.bert-base-uncased.pickle', help='The binarized dataset.'
	)
	parser.add_argument(
	    '--token_counts_dump', type=str, default='data/token_counts.bert-base-uncased.pickle', help='The dump file.'
	)
	parser.add_argument('--vocab_size', default=30522, type=int)
	_lowerCamelCase 					=      parser.parse_args()

	logger.info(F'''Loading data from {args.data_file}''')
	with open(args.data_file, 'rb') as fp:
		_lowerCamelCase 					=      pickle.load(fp)

	logger.info('Counting occurrences for MLM.')
	_lowerCamelCase 					=      Counter()
	for tk_ids in data:
		counter.update(tk_ids)
	_lowerCamelCase 					=      [0] * args.vocab_size
	for k, v in counter.items():
		_lowerCamelCase 					=      v

	logger.info(F'''Dump to {args.token_counts_dump}''')
	with open(args.token_counts_dump, 'wb') as handle:
		pickle.dump(counts, handle, protocol=pickle.HIGHEST_PROTOCOL)