

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

import requests



def    __UpperCAmelCase (	__a      :			str		,__a      :			Union[str, Any]=None	)			->     int:

					"""simple docstring"""

					_a	:    Optional[int]         =		None
					if token is not None:
										_a	:    Optional[int]         =		{'''Accept''': '''application/vnd.github+json''', '''Authorization''': F"""Bearer {token}"""}

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

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

										for i in range(__a	):
															_a	:    Any         =		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    __UpperCAmelCase (	__a      :			Optional[Any]		,__a      :			str=None	)			->     int:

					"""simple docstring"""

					_a	:    Tuple         =		None
					if token is not None:
										_a	:    Optional[int]         =		{'''Accept''': '''application/vnd.github+json''', '''Authorization''': F"""Bearer {token}"""}

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

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

										for i in range(__a	):
															_a	:    List[str]         =		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    __UpperCAmelCase (	__a      :			Union[str, Any]		,__a      :			Optional[int]		,__a      :			Tuple		,__a      :			Dict	)			->     Dict:

					"""simple docstring"""

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

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



def    __UpperCAmelCase (	__a      :			List[str]		,__a      :			Optional[Any]=None	)			->     List[Any]:

					"""simple docstring"""

					_a	:    Tuple         =		[]
					_a	:    Dict         =		[]
					_a	:    Optional[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	:    Optional[Any]         =		line.decode('''UTF-8'''	).strip()
																																			if filename == "failures_line.txt":
																																								try:
																																													# `error_line` is the place where `error` occurs
																																													_a	:    Optional[int]         =		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	:    int         =		line[len('''FAILED '''	) :]
																																								failed_tests.append(__a	)
																																			elif filename == "job_name.txt":
																																								_a	:    List[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[str]         =		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	:    Any         =		[x + [y] + [job_link] for x, y in zip(__a		,__a	)]

					return result



def    __UpperCAmelCase (	__a      :			Optional[int]		,__a      :			Optional[Any]=None	)			->     Tuple:

					"""simple docstring"""

					_a	:    Union[str, Any]         =		[]

					_a	:    Any         =		[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    __UpperCAmelCase (	__a      :			Dict		,__a      :			Union[str, Any]=None	)			->     Dict:

					"""simple docstring"""

					_a	:    Dict         =		Counter()
					counter.update([x[1] for x in logs]	)
					_a	:    List[str]         =		counter.most_common()
					_a	:    Union[str, Any]         =		{}
					for error, count in counts:
										if error_filter is None or error not in error_filter:
															_a	:    Any         =		{'''count''': count, '''failed_tests''': [(x[2], x[0]) for x in logs if x[1] == error]}

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



def    __UpperCAmelCase (	__a      :			Optional[Any]	)			->     Optional[int]:

					"""simple docstring"""

					_a	:    List[str]         =		test.split('''::'''	)[0]
					if test.startswith('''tests/models/'''	):
										_a	:    str         =		test.split('''/'''	)[2]
					else:
										_a	:    List[str]         =		None

					return test



def    __UpperCAmelCase (	__a      :			Union[str, Any]		,__a      :			Any=None	)			->     Optional[int]:

					"""simple docstring"""

					_a	:    Optional[Any]         =		[(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	:    int         =		{x[2] for x in logs}

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

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



def    __UpperCAmelCase (	__a      :			Dict	)			->     List[str]:

					"""simple docstring"""

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

					return "\n".join(__a	)



def    __UpperCAmelCase (	__a      :			List[Any]	)			->     Any:

					"""simple docstring"""

					_a	:    int         =		'''| model | no. of errors | major error | count |'''
					_a	:    Optional[int]         =		'''|-:|-:|-:|-:|'''
					_a	:    Optional[int]         =		[header, sep]
					for model in reduced_by_model:
										_a	:    Optional[int]         =		reduced_by_model[model]['''count''']
										_a      ,					_a	:    Optional[Any]         =		list(reduced_by_model[model]['''errors'''].items()	)[0]
										_a	:    Optional[int]         =		F"""| {model} | {count} | {error[:60]} | {_count} |"""
										lines.append(__a	)

					return "\n".join(__a	)


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(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)

			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 collections import OrderedDict
from typing import Mapping

from ...configuration_utils import PretrainedConfig
from ...onnx import OnnxConfig
from ...utils import logging


a__				=		logging.get_logger(__name__)

a__				=		{
    '''junnyu/roformer_chinese_small''': '''https://huggingface.co/junnyu/roformer_chinese_small/resolve/main/config.json''',
    '''junnyu/roformer_chinese_base''': '''https://huggingface.co/junnyu/roformer_chinese_base/resolve/main/config.json''',
    '''junnyu/roformer_chinese_char_small''': (
        '''https://huggingface.co/junnyu/roformer_chinese_char_small/resolve/main/config.json'''
    ),
    '''junnyu/roformer_chinese_char_base''': (
        '''https://huggingface.co/junnyu/roformer_chinese_char_base/resolve/main/config.json'''
    ),
    '''junnyu/roformer_small_discriminator''': (
        '''https://huggingface.co/junnyu/roformer_small_discriminator/resolve/main/config.json'''
    ),
    '''junnyu/roformer_small_generator''': (
        '''https://huggingface.co/junnyu/roformer_small_generator/resolve/main/config.json'''
    ),
    # See all RoFormer models at https://huggingface.co/models?filter=roformer
}

class 				UpperCAmelCase_		(			__lowercase   ):
							"""simple docstring"""







							UpperCAmelCase__       :						Optional[Any]	    =    "roformer"


							def __init__(			self       ,							_a=5_0_0_0_0       ,							_a=None       ,							_a=7_6_8       ,							_a=1_2       ,							_a=1_2       ,							_a=3_0_7_2       ,							_a="gelu"       ,							_a=0.1       ,							_a=0.1       ,							_a=1_5_3_6       ,							_a=2       ,							_a=0.02       ,							_a=1e-1_2       ,							_a=0       ,							_a=False       ,							_a=True       ,							**_a       ,							)    ->    List[str]:
												super().__init__(pad_token_id=_a       ,							**_a       )

												_a	:    Tuple         =		vocab_size
												_a	:    List[Any]         =		hidden_size if embedding_size is None else embedding_size
												_a	:    Any         =		hidden_size
												_a	:    Any         =		num_hidden_layers
												_a	:    List[Any]         =		num_attention_heads
												_a	:    str         =		hidden_act
												_a	:    Any         =		intermediate_size
												_a	:    Dict         =		hidden_dropout_prob
												_a	:    Optional[Any]         =		attention_probs_dropout_prob
												_a	:    str         =		max_position_embeddings
												_a	:    Dict         =		type_vocab_size
												_a	:    List[Any]         =		initializer_range
												_a	:    Dict         =		layer_norm_eps
												_a	:    Dict         =		rotary_value
												_a	:    Dict         =		use_cache



class 				UpperCAmelCase_		(			__lowercase   ):
							"""simple docstring"""







							@property
							def 				__lowercase				(			self       )    ->    Mapping[str, Mapping[int, str]]:
												if self.task == "multiple-choice":
																	_a	:    Dict         =		{0: '''batch''', 1: '''choice''', 2: '''sequence'''}
												else:
																	_a	:    List[Any]         =		{0: '''batch''', 1: '''sequence'''}
												_a	:    Union[str, Any]         =		{0: '''batch''', 1: '''sequence'''}
												return OrderedDict(
												    [
												        ('''input_ids''', dynamic_axis),
												        ('''attention_mask''', dynamic_axis),
												        ('''token_type_ids''', dynamic_axis),
												    ]       )



