



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

import requests






def 					__lowerCAmelCase		(  __lowerCamelCase	:    Dict				,   __lowerCamelCase	:    List[str]=None	)  ->						Tuple:
					__lowerCAmelCase	   =None
					if token is not None:
										__lowerCAmelCase	   ={"""Accept""": """application/vnd.github+json""", """Authorization""": f"""Bearer {token}"""}

					__lowerCAmelCase	   =f"""https://api.github.com/repos/huggingface/transformers/actions/runs/{workflow_run_id}/jobs?per_page=100"""
					__lowerCAmelCase	   =requests.get(_lowerCamelCase				,   headers=_lowerCamelCase	).json()
					__lowerCAmelCase	   ={}

					try:
										job_links.update({job["""name"""]: job["""html_url"""] for job in result["""jobs"""]}	)
										__lowerCAmelCase	   =math.ceil((result["""total_count"""] - 100) / 100	)

										for i in range(_lowerCamelCase	):
															__lowerCAmelCase	   =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 					__lowerCAmelCase		(  __lowerCamelCase	:    Optional[Any]				,   __lowerCamelCase	:    Tuple=None	)  ->						List[str]:
					__lowerCAmelCase	   =None
					if token is not None:
										__lowerCAmelCase	   ={"""Accept""": """application/vnd.github+json""", """Authorization""": f"""Bearer {token}"""}

					__lowerCAmelCase	   =f"""https://api.github.com/repos/huggingface/transformers/actions/runs/{worflow_run_id}/artifacts?per_page=100"""
					__lowerCAmelCase	   =requests.get(_lowerCamelCase				,   headers=_lowerCamelCase	).json()
					__lowerCAmelCase	   ={}

					try:
										artifacts.update({artifact["""name"""]: artifact["""archive_download_url"""] for artifact in result["""artifacts"""]}	)
										__lowerCAmelCase	   =math.ceil((result["""total_count"""] - 100) / 100	)

										for i in range(_lowerCamelCase	):
															__lowerCAmelCase	   =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 					__lowerCAmelCase		(  __lowerCamelCase	:    Any				,   __lowerCamelCase	:    List[str]				,   __lowerCamelCase	:    Union[str, Any]				,   __lowerCamelCase	:    Tuple	)  ->						Tuple:
					__lowerCAmelCase	   =None
					if token is not None:
										__lowerCAmelCase	   ={"""Accept""": """application/vnd.github+json""", """Authorization""": f"""Bearer {token}"""}

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






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

					__lowerCAmelCase	   =None
					if job_name and job_links:
										__lowerCAmelCase	   =job_links.get(_lowerCamelCase				,   _lowerCamelCase	)

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

					return result






def 					__lowerCAmelCase		(  __lowerCamelCase	:    str				,   __lowerCamelCase	:    List[Any]=None	)  ->						List[Any]:
					__lowerCAmelCase	   =[]

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

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






def 					__lowerCAmelCase		(  __lowerCamelCase	:    Dict	)  ->						Union[str, Any]:
					__lowerCAmelCase	   =test.split("""::"""	)[0]
					if test.startswith("""tests/models/"""	):
										__lowerCAmelCase	   =test.split("""/"""	)[2]
					else:
										__lowerCAmelCase	   =None

					return test






def 					__lowerCAmelCase		(  __lowerCamelCase	:    List[Any]				,   __lowerCamelCase	:    int=None	)  ->						Tuple:
					__lowerCAmelCase	   =[(x[0], x[1], get_model(x[2]	)) for x in logs]
					__lowerCAmelCase	   =[x for x in logs if x[2] is not None]
					__lowerCAmelCase	   ={x[2] for x in logs}

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

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






def 					__lowerCAmelCase		(  __lowerCamelCase	:    int	)  ->						Optional[int]:
					__lowerCAmelCase	   ="""| no. | error | status |"""
					__lowerCAmelCase	   ="""|-:|:-|:-|"""
					__lowerCAmelCase	   =[header, sep]
					for error in reduced_by_error:
										__lowerCAmelCase	   =reduced_by_error[error]["""count"""]
										__lowerCAmelCase	   =f"""| {count} | {error[:100]} |  |"""
										lines.append(_lowerCamelCase	)

					return "\n".join(_lowerCamelCase	)






def 					__lowerCAmelCase		(  __lowerCamelCase	:    Union[str, Any]	)  ->						List[str]:
					__lowerCAmelCase	   ="""| model | no. of errors | major error | count |"""
					__lowerCAmelCase	   ="""|-:|-:|-:|-:|"""
					__lowerCAmelCase	   =[header, sep]
					for model in reduced_by_model:
										__lowerCAmelCase	   =reduced_by_model[model]["""count"""]
										__lowerCAmelCase	   =list(reduced_by_model[model]["""errors"""].items()	)[0]
										__lowerCAmelCase	   =f"""| {model} | {count} | {error[:60]} | {_count} |"""
										lines.append(_lowerCamelCase	)

					return "\n".join(_lowerCamelCase	)


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)









from typing import TYPE_CHECKING

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


lowercase_	       =			{
    '''configuration_encodec''': [
        '''ENCODEC_PRETRAINED_CONFIG_ARCHIVE_MAP''',
        '''EncodecConfig''',
    ],
    '''feature_extraction_encodec''': ['''EncodecFeatureExtractor'''],
}

try:
				if not is_torch_available():
								raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
				pass
else:
				lowercase_	       =			[
				    '''ENCODEC_PRETRAINED_MODEL_ARCHIVE_LIST''',
				    '''EncodecModel''',
				    '''EncodecPreTrainedModel''',
				]

if TYPE_CHECKING:
				from .configuration_encodec import (
				    ENCODEC_PRETRAINED_CONFIG_ARCHIVE_MAP,
				    EncodecConfig,
				)
				from .feature_extraction_encodec import EncodecFeatureExtractor

				try:
								if not is_torch_available():
												raise OptionalDependencyNotAvailable()
				except OptionalDependencyNotAvailable:
								pass
				else:
								from .modeling_encodec import (
								    ENCODEC_PRETRAINED_MODEL_ARCHIVE_LIST,
								    EncodecModel,
								    EncodecPreTrainedModel,
								)

else:
				import sys

				lowercase_	       =			_LazyModule(__name__, globals()['''__file__'''], _import_structure, module_spec=__spec__)




