


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

import requests


def 				lowerCamelCase__	(      a	:   Optional[Any]	,  a	:   List[Any]=None				)    ->	Dict:





			"""simple docstring"""
			a__ :Tuple						  =    None
			if token is not None:
						a__ :Tuple						  =    {"Accept": "application/vnd.github+json", "Authorization": F'''Bearer {token}'''}

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

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

						for i in range(a				):
									a__ :Tuple						  =    requests.get(url + F'''&page={i + 2}'''	,  headers=a				).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__	(      a	:   int	,  a	:   List[str]=None				)    ->	List[str]:





			"""simple docstring"""
			a__ :List[Any]						  =    None
			if token is not None:
						a__ :List[str]						  =    {"Accept": "application/vnd.github+json", "Authorization": F'''Bearer {token}'''}

			a__ :Union[str, Any]						  =    F'''https://api.github.com/repos/huggingface/transformers/actions/runs/{worflow_run_id}/artifacts?per_page=100'''
			a__ :List[str]						  =    requests.get(a	,  headers=a				).json()
			a__ :Tuple						  =    {}

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

						for i in range(a				):
									a__ :Optional[int]						  =    requests.get(url + F'''&page={i + 2}'''	,  headers=a				).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__	(      a	:   Optional[Any]	,  a	:   str	,  a	:   Dict	,  a	:   List[Any]				)    ->	Dict:





			"""simple docstring"""
			a__ :int						  =    None
			if token is not None:
						a__ :List[str]						  =    {"Accept": "application/vnd.github+json", "Authorization": F'''Bearer {token}'''}

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


def 				lowerCamelCase__	(      a	:   Any	,  a	:   Optional[Any]=None				)    ->	Optional[int]:





			"""simple docstring"""
			a__ :Dict						  =    []
			a__ :Optional[Any]						  =    []
			a__ :List[Any]						  =    None

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

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

			a__ :List[Any]						  =    None
			if job_name and job_links:
						a__ :List[Any]						  =    job_links.get(a	,  a				)

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

			return result


def 				lowerCamelCase__	(      a	:   Optional[Any]	,  a	:   int=None				)    ->	List[str]:





			"""simple docstring"""
			a__ :Optional[Any]						  =    []

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

			return errors


def 				lowerCamelCase__	(      a	:   int	,  a	:   Optional[int]=None				)    ->	Any:





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

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


def 				lowerCamelCase__	(      a	:   Optional[Any]				)    ->	Optional[Any]:





			"""simple docstring"""
			a__ :Tuple						  =    test.split("::"				)[0]
			if test.startswith("tests/models/"				):
						a__ :Optional[int]						  =    test.split("/"				)[2]
			else:
						a__ :str						  =    None

			return test


def 				lowerCamelCase__	(      a	:   Tuple	,  a	:   List[Any]=None				)    ->	str:





			"""simple docstring"""
			a__ :Optional[int]						  =    [(x[0], x[1], get_model(x[2]				)) for x in logs]
			a__ :Union[str, Any]						  =    [x for x in logs if x[2] is not None]
			a__ :List[str]						  =    {x[2] for x in logs}

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

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


def 				lowerCamelCase__	(      a	:   Any				)    ->	Any:





			"""simple docstring"""
			a__ :List[Any]						  =    "| no. | error | status |"
			a__ :Optional[int]						  =    "|-:|:-|:-|"
			a__ :List[str]						  =    [header, sep]
			for error in reduced_by_error:
						a__ :List[Any]						  =    reduced_by_error[error]["count"]
						a__ :str						  =    F'''| {count} | {error[:100]} |  |'''
						lines.append(a				)

			return "\n".join(a				)


def 				lowerCamelCase__	(      a	:   Dict				)    ->	Optional[Any]:





			"""simple docstring"""
			a__ :Any						  =    "| model | no. of errors | major error | count |"
			a__ :List[str]						  =    "|-:|-:|-:|-:|"
			a__ :Optional[int]						  =    [header, sep]
			for model in reduced_by_model:
						a__ :Dict						  =    reduced_by_model[model]["count"]
						a__  ,  a__ :List[Any]						  =    list(reduced_by_model[model]["errors"].items()				)[0]
						a__ :Tuple						  =    F'''| {model} | {count} | {error[:60]} | {_count} |'''
						lines.append(a				)

			return "\n".join(a				)


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)






from ...configuration_utils import PretrainedConfig
from ...utils import logging


snake_case__			 =						logging.get_logger(__name__)

snake_case__			 =						{
    '''google/pegasus-large''': '''https://huggingface.co/google/pegasus-large/resolve/main/config.json''',
    # See all PEGASUS models at https://huggingface.co/models?filter=pegasus
}


class 					lowerCAmelCase_ (       _a):
						lowerCamelCase_         =     'pegasus'
						lowerCamelCase_         =     ['past_key_values']
						lowerCamelCase_         =     {'num_attention_heads': 'encoder_attention_heads', 'hidden_size': 'd_model'}




						def __init__(	self						:   Any   ,     __A						:   Dict=50265   ,     __A						:   List[Any]=1024   ,     __A						:   int=12   ,     __A						:   Optional[Any]=4096   ,     __A						:   Optional[int]=16   ,     __A						:   Dict=12   ,     __A						:   List[Any]=4096   ,     __A						:   List[str]=16   ,     __A						:   Optional[int]=0.0   ,     __A						:   List[Any]=0.0   ,     __A						:   List[str]=True   ,     __A						:   Optional[int]=True   ,     __A						:   str="gelu"   ,     __A						:   Tuple=1024   ,     __A						:   Any=0.1   ,     __A						:   List[Any]=0.0   ,     __A						:   List[str]=0.0   ,     __A						:   Tuple=0.02   ,     __A						:   Union[str, Any]=0   ,     __A						:   Union[str, Any]=False   ,     __A						:   Optional[Any]=0   ,     __A						:   Tuple=1   ,     __A						:   str=1   ,     **__A						:   Any   ,     )      ->Union[str, Any]:






									"""simple docstring"""






									a__ :Any						  =    vocab_size
									a__ :List[str]						  =    max_position_embeddings
									a__ :int						  =    d_model
									a__ :Union[str, Any]						  =    encoder_ffn_dim
									a__ :List[Any]						  =    encoder_layers
									a__ :Union[str, Any]						  =    encoder_attention_heads
									a__ :Tuple						  =    decoder_ffn_dim
									a__ :List[Any]						  =    decoder_layers
									a__ :Tuple						  =    decoder_attention_heads
									a__ :Optional[int]						  =    dropout
									a__ :str						  =    attention_dropout
									a__ :Optional[int]						  =    activation_dropout
									a__ :str						  =    activation_function
									a__ :Dict						  =    init_std
									a__ :Any						  =    encoder_layerdrop
									a__ :int						  =    decoder_layerdrop
									a__ :Union[str, Any]						  =    use_cache
									a__ :List[Any]						  =    encoder_layers
									a__ :Dict						  =    scale_embedding  # scale factor will be sqrt(d_model) if True
									super().__init__(
									    pad_token_id=__A   ,     eos_token_id=__A   ,     is_encoder_decoder=__A   ,     decoder_start_token_id=__A   ,     forced_eos_token_id=__A   ,     **__A   ,     )




						@property
						def  _snake_case					(	self						:   Optional[Any]						)      ->int:






									"""simple docstring"""






									return self.encoder_attention_heads






						@property
						def  _snake_case					(	self						:   Union[str, Any]						)      ->int:






									"""simple docstring"""






									return self.d_model


