




"""simple docstring"""




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

import requests







def      __UpperCAmelCase     ( __UpperCamelCase	,				__UpperCamelCase=None	):
			__lowercase			:  Optional[Any]								=       None
			if token is not None:
						__lowercase			:  Tuple								=       {'''Accept''': '''application/vnd.github+json''', '''Authorization''': f"""Bearer {token}"""}

			__lowercase			:  List[str]								=       f"""https://api.github.com/repos/huggingface/transformers/actions/runs/{workflow_run_id}/jobs?per_page=100"""
			__lowercase			:  Optional[Any]								=       requests.get(__UpperCamelCase	,				headers=__UpperCamelCase	).json()
			__lowercase			:  Optional[Any]								=       {}

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

						for i in range(__UpperCamelCase	):
									__lowercase			:  str								=       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      __UpperCAmelCase     ( __UpperCamelCase	,				__UpperCamelCase=None	):
			__lowercase			:  Any								=       None
			if token is not None:
						__lowercase			:  Optional[Any]								=       {'''Accept''': '''application/vnd.github+json''', '''Authorization''': f"""Bearer {token}"""}

			__lowercase			:  int								=       f"""https://api.github.com/repos/huggingface/transformers/actions/runs/{worflow_run_id}/artifacts?per_page=100"""
			__lowercase			:  List[Any]								=       requests.get(__UpperCamelCase	,				headers=__UpperCamelCase	).json()
			__lowercase			:  Union[str, Any]								=       {}

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

						for i in range(__UpperCamelCase	):
									__lowercase			:  Dict								=       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      __UpperCAmelCase     ( __UpperCamelCase	,				__UpperCamelCase	,				__UpperCamelCase	,				__UpperCamelCase	):
			__lowercase			:  Optional[int]								=       None
			if token is not None:
						__lowercase			:  Union[str, Any]								=       {'''Accept''': '''application/vnd.github+json''', '''Authorization''': f"""Bearer {token}"""}

			__lowercase			:  Any								=       requests.get(__UpperCamelCase	,				headers=__UpperCamelCase	,				allow_redirects=__UpperCamelCase	)
			__lowercase			:  Optional[int]								=       result.headers['''Location''']
			__lowercase			:  List[str]								=       requests.get(__UpperCamelCase	,				allow_redirects=__UpperCamelCase	)
			__lowercase			:  List[str]								=       os.path.join(__UpperCamelCase	,				f"""{artifact_name}.zip"""	)
			with open(__UpperCamelCase	,				'''wb'''	) as fp:
						fp.write(response.content	)







def      __UpperCAmelCase     ( __UpperCamelCase	,				__UpperCamelCase=None	):
			__lowercase			:  Any								=       []
			__lowercase			:  List[Any]								=       []
			__lowercase			:  Dict								=       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:
																					__lowercase			:  Optional[Any]								=       line.decode('''UTF-8'''	).strip()
																					if filename == "failures_line.txt":
																								try:
																											# `error_line` is the place where `error` occurs
																											__lowercase			:  Any								=       line[: line.index(''': '''	)]
																											__lowercase			:  str								=       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			:  Dict								=       line[len('''FAILED '''	) :]
																								failed_tests.append(__UpperCamelCase	)
																					elif filename == "job_name.txt":
																								__lowercase			:  int								=       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.'''	)

			__lowercase			:  List[str]								=       None
			if job_name and job_links:
						__lowercase			:  Optional[Any]								=       job_links.get(__UpperCamelCase	,				__UpperCamelCase	)

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

			return result







def      __UpperCAmelCase     ( __UpperCamelCase	,				__UpperCamelCase=None	):
			__lowercase			:  Tuple								=       []

			__lowercase			:  Tuple								=       [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      __UpperCAmelCase     ( __UpperCamelCase	,				__UpperCamelCase=None	):
			__lowercase			:  str								=       Counter()
			counter.update([x[1] for x in logs]	)
			__lowercase			:  Dict								=       counter.most_common()
			__lowercase			:  Optional[int]								=       {}
			for error, count in counts:
						if error_filter is None or error not in error_filter:
									__lowercase			:  Tuple								=       {'''count''': count, '''failed_tests''': [(x[2], x[0]) for x in logs if x[1] == error]}

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







def      __UpperCAmelCase     ( __UpperCamelCase	):
			__lowercase			:  int								=       test.split('''::'''	)[0]
			if test.startswith('''tests/models/'''	):
						__lowercase			:  Optional[Any]								=       test.split('''/'''	)[2]
			else:
						__lowercase			:  List[Any]								=       None

			return test







def      __UpperCAmelCase     ( __UpperCamelCase	,				__UpperCamelCase=None	):
			__lowercase			:  Dict								=       [(x[0], x[1], get_model(x[2]	)) for x in logs]
			__lowercase			:  List[str]								=       [x for x in logs if x[2] is not None]
			__lowercase			:  Dict								=       {x[2] for x in logs}

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

			__lowercase			:  List[Any]								=       dict(sorted(r.items()	,				key=lambda __UpperCamelCase	: item[1]["count"]	,				reverse=__UpperCamelCase	)	)
			return r







def      __UpperCAmelCase     ( __UpperCamelCase	):
			__lowercase			:  Union[str, Any]								=       '''| no. | error | status |'''
			__lowercase			:  Dict								=       '''|-:|:-|:-|'''
			__lowercase			:  int								=       [header, sep]
			for error in reduced_by_error:
						__lowercase			:  int								=       reduced_by_error[error]['''count''']
						__lowercase			:  Union[str, Any]								=       f"""| {count} | {error[:1_00]} |  |"""
						lines.append(__UpperCamelCase	)

			return "\n".join(__UpperCamelCase	)







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

			return "\n".join(__UpperCamelCase	)


if __name__ == "__main__":
			a_        =       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_        =       parser.parse_args()

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

			a_        =       get_job_links(args.workflow_run_id, token=args.token)
			a_        =       {}
			# 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_        =       k.find(' / ')
												a_        =       k[index + len(' / ') :]
									a_        =       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_        =       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_        =       get_all_errors(args.output_dir, job_links=job_links)

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

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

			a_        =       reduce_by_error(errors)
			a_        =       reduce_by_model(errors)

			a_        =       make_github_table(reduced_by_error)
			a_        =       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 typing import TYPE_CHECKING

from ...utils import (
    OptionalDependencyNotAvailable,
    _LazyModule,
    is_sentencepiece_available,
    is_tokenizers_available,
    is_torch_available,
)


__magic_name__   :  Tuple        =							{'''configuration_plbart''': ['''PLBART_PRETRAINED_CONFIG_ARCHIVE_MAP''', '''PLBartConfig''']}

try:
       if not is_sentencepiece_available():
              raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
       pass
else:
       __magic_name__   :  Optional[Any]        =							['''PLBartTokenizer''']

try:
       if not is_torch_available():
              raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
       pass
else:
       __magic_name__   :  Tuple        =							[
           '''PLBART_PRETRAINED_MODEL_ARCHIVE_LIST''',
           '''PLBartForCausalLM''',
           '''PLBartForConditionalGeneration''',
           '''PLBartForSequenceClassification''',
           '''PLBartModel''',
           '''PLBartPreTrainedModel''',
       ]


if TYPE_CHECKING:
       from .configuration_plbart import PLBART_PRETRAINED_CONFIG_ARCHIVE_MAP, PLBartConfig

       try:
              if not is_sentencepiece_available():
                     raise OptionalDependencyNotAvailable()
       except OptionalDependencyNotAvailable:
              pass
       else:
              from .tokenization_plbart import PLBartTokenizer

       try:
              if not is_torch_available():
                     raise OptionalDependencyNotAvailable()
       except OptionalDependencyNotAvailable:
              pass
       else:
              from .modeling_plbart import (
                  PLBART_PRETRAINED_MODEL_ARCHIVE_LIST,
                  PLBartForCausalLM,
                  PLBartForConditionalGeneration,
                  PLBartForSequenceClassification,
                  PLBartModel,
                  PLBartPreTrainedModel,
              )


else:
       import sys

       __magic_name__   :  Optional[int]        =							_LazyModule(__name__, globals()['''__file__'''], _import_structure)



