



'''simple docstring'''

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

import requests






def       __lowercase  (_SCREAMING_SNAKE_CASE      :int    ,	_SCREAMING_SNAKE_CASE      :int=None       ):
				SCREAMING_SNAKE_CASE  :						Optional[Any]      					= None
				if token is not None:
								SCREAMING_SNAKE_CASE  :						Optional[int]      					= {'''Accept''': '''application/vnd.github+json''', '''Authorization''': F'''Bearer {token}'''}

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

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

								for i in range(_SCREAMING_SNAKE_CASE       ):
												SCREAMING_SNAKE_CASE  :						str      					= 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       __lowercase  (_SCREAMING_SNAKE_CASE      :Tuple    ,	_SCREAMING_SNAKE_CASE      :Tuple=None       ):
				SCREAMING_SNAKE_CASE  :						Optional[Any]      					= None
				if token is not None:
								SCREAMING_SNAKE_CASE  :						List[str]      					= {'''Accept''': '''application/vnd.github+json''', '''Authorization''': F'''Bearer {token}'''}

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

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

								for i in range(_SCREAMING_SNAKE_CASE       ):
												SCREAMING_SNAKE_CASE  :						List[Any]      					= 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       __lowercase  (_SCREAMING_SNAKE_CASE      :Any    ,	_SCREAMING_SNAKE_CASE      :List[Any]    ,	_SCREAMING_SNAKE_CASE      :str    ,	_SCREAMING_SNAKE_CASE      :Dict       ):
				SCREAMING_SNAKE_CASE  :						Tuple      					= None
				if token is not None:
								SCREAMING_SNAKE_CASE  :						Dict      					= {'''Accept''': '''application/vnd.github+json''', '''Authorization''': F'''Bearer {token}'''}

				SCREAMING_SNAKE_CASE  :						str      					= requests.get(_SCREAMING_SNAKE_CASE    ,	headers=_SCREAMING_SNAKE_CASE    ,	allow_redirects=_SCREAMING_SNAKE_CASE       )
				SCREAMING_SNAKE_CASE  :						str      					= result.headers['''Location''']
				SCREAMING_SNAKE_CASE  :						Any      					= requests.get(_SCREAMING_SNAKE_CASE    ,	allow_redirects=_SCREAMING_SNAKE_CASE       )
				SCREAMING_SNAKE_CASE  :						Tuple      					= os.path.join(_SCREAMING_SNAKE_CASE    ,	F'''{artifact_name}.zip'''       )
				with open(_SCREAMING_SNAKE_CASE    ,	'''wb'''       ) as fp:
								fp.write(response.content       )






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

				SCREAMING_SNAKE_CASE  :						Optional[Any]      					= None
				if job_name and job_links:
								SCREAMING_SNAKE_CASE  :						Dict      					= job_links.get(_SCREAMING_SNAKE_CASE    ,	_SCREAMING_SNAKE_CASE       )

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

				return result






def       __lowercase  (_SCREAMING_SNAKE_CASE      :Optional[int]    ,	_SCREAMING_SNAKE_CASE      :Optional[int]=None       ):
				SCREAMING_SNAKE_CASE  :						str      					= []

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

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






def       __lowercase  (_SCREAMING_SNAKE_CASE      :Dict       ):
				SCREAMING_SNAKE_CASE  :						Dict      					= test.split('''::'''       )[0]
				if test.startswith('''tests/models/'''       ):
								SCREAMING_SNAKE_CASE  :						int      					= test.split('''/'''       )[2]
				else:
								SCREAMING_SNAKE_CASE  :						Dict      					= None

				return test






def       __lowercase  (_SCREAMING_SNAKE_CASE      :int    ,	_SCREAMING_SNAKE_CASE      :Union[str, Any]=None       ):
				SCREAMING_SNAKE_CASE  :						Optional[Any]      					= [(x[0], x[1], get_model(x[2]       )) for x in logs]
				SCREAMING_SNAKE_CASE  :						Any      					= [x for x in logs if x[2] is not None]
				SCREAMING_SNAKE_CASE  :						Any      					= {x[2] for x in logs}

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

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






def       __lowercase  (_SCREAMING_SNAKE_CASE      :Optional[int]       ):
				SCREAMING_SNAKE_CASE  :						Union[str, Any]      					= '''| no. | error | status |'''
				SCREAMING_SNAKE_CASE  :						int      					= '''|-:|:-|:-|'''
				SCREAMING_SNAKE_CASE  :						Optional[int]      					= [header, sep]
				for error in reduced_by_error:
								SCREAMING_SNAKE_CASE  :						int      					= reduced_by_error[error]['''count''']
								SCREAMING_SNAKE_CASE  :						str      					= F'''| {count} | {error[:1_00]} |  |'''
								lines.append(_SCREAMING_SNAKE_CASE       )

				return "\n".join(_SCREAMING_SNAKE_CASE       )






def       __lowercase  (_SCREAMING_SNAKE_CASE      :List[Any]       ):
				SCREAMING_SNAKE_CASE  :						Optional[int]      					= '''| model | no. of errors | major error | count |'''
				SCREAMING_SNAKE_CASE  :						Union[str, Any]      					= '''|-:|-:|-:|-:|'''
				SCREAMING_SNAKE_CASE  :						Union[str, Any]      					= [header, sep]
				for model in reduced_by_model:
								SCREAMING_SNAKE_CASE  :						List[str]      					= reduced_by_model[model]['''count''']
								SCREAMING_SNAKE_CASE					,					SCREAMING_SNAKE_CASE  :						int      					= list(reduced_by_model[model]['''errors'''].items()       )[0]
								SCREAMING_SNAKE_CASE  :						Tuple      					= F'''| {model} | {count} | {error[:60]} | {_count} |'''
								lines.append(_SCREAMING_SNAKE_CASE       )

				return "\n".join(_SCREAMING_SNAKE_CASE       )


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

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

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

	snake_case_			=     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)

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

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

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

	snake_case_			=     reduce_by_error(errors)
	snake_case_			=     reduce_by_model(errors)

	snake_case_			=     make_github_table(reduced_by_error)
	snake_case_			=     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 ...utils import is_torch_available, is_transformers_available


if is_transformers_available() and is_torch_available():
	from .pipeline_vq_diffusion import LearnedClassifierFreeSamplingEmbeddings, VQDiffusionPipeline




