

import argparse
import json
import os
import time
import zipfile

from get_ci_error_statistics import download_artifact, get_artifacts_links

from transformers import logging


lowerCAmelCase_       	=	logging.get_logger(__name__)


def   __SCREAMING_SNAKE_CASE					(SCREAMING_SNAKE_CASE__  ,		SCREAMING_SNAKE_CASE__       ):
						snake_case_   =	set()
						snake_case_   =	[]

						def parse_line(SCREAMING_SNAKE_CASE__       ):
												for line in fp:
																		if isinstance(SCREAMING_SNAKE_CASE__  ,		SCREAMING_SNAKE_CASE__       ):
																								snake_case_   =	line.decode('''UTF-8'''       )
																		if "warnings summary (final)" in line:
																								continue
																		# This means we are outside the body of a warning
																		elif not line.startswith(''' '''       ):
																								# process a single warning and move it to `selected_warnings`.
																								if len(SCREAMING_SNAKE_CASE__       ) > 0:
																														snake_case_   =	'''\n'''.join(SCREAMING_SNAKE_CASE__       )
																														# Only keep the warnings specified in `targets`
																														if any(F''': {x}: ''' in warning for x in targets       ):
																																				selected_warnings.add(SCREAMING_SNAKE_CASE__       )
																														buffer.clear()
																								continue
																		else:
																								snake_case_   =	line.strip()
																								buffer.append(SCREAMING_SNAKE_CASE__       )

						if from_gh:
												for filename in os.listdir(SCREAMING_SNAKE_CASE__       ):
																		snake_case_   =	os.path.join(SCREAMING_SNAKE_CASE__  ,		SCREAMING_SNAKE_CASE__       )
																		if not os.path.isdir(SCREAMING_SNAKE_CASE__       ):
																								# read the file
																								if filename != "warnings.txt":
																														continue
																								with open(SCREAMING_SNAKE_CASE__       ) as fp:
																														parse_line(SCREAMING_SNAKE_CASE__       )
						else:
												try:
																		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 != "warnings.txt":
																																										continue
																																				with z.open(SCREAMING_SNAKE_CASE__       ) as fp:
																																										parse_line(SCREAMING_SNAKE_CASE__       )
												except Exception:
																		logger.warning(
																		    F'''{artifact_path} is either an invalid zip file or something else wrong. This file is skipped.'''       )

						return selected_warnings


def   __SCREAMING_SNAKE_CASE					(SCREAMING_SNAKE_CASE__  ,		SCREAMING_SNAKE_CASE__       ):
						snake_case_   =	set()

						snake_case_   =	[os.path.join(SCREAMING_SNAKE_CASE__  ,		SCREAMING_SNAKE_CASE__       ) for p in os.listdir(SCREAMING_SNAKE_CASE__       ) if (p.endswith('''.zip'''       ) or from_gh)]
						for p in paths:
												selected_warnings.update(extract_warnings_from_single_artifact(SCREAMING_SNAKE_CASE__  ,		SCREAMING_SNAKE_CASE__       )       )

						return selected_warnings


if __name__ == "__main__":


					def   __SCREAMING_SNAKE_CASE					(SCREAMING_SNAKE_CASE__       ):
											return values.split(''','''       )

					lowerCAmelCase_       	=	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.''')
					# optional parameters
					parser.add_argument(
					    '''--targets''',
					    default='''DeprecationWarning,UserWarning,FutureWarning''',
					    type=list_str,
					    help='''Comma-separated list of target warning(s) which we want to extract.''',
					)
					parser.add_argument(
					    '''--from_gh''',
					    action='''store_true''',
					    help='''If running from a GitHub action workflow and collecting warnings from its artifacts.''',
					)

					lowerCAmelCase_       	=	parser.parse_args()

					lowerCAmelCase_       	=	args.from_gh
					if from_gh:
										# The artifacts have to be downloaded using `actions/download-artifact@v3`
										pass
					else:
										os.makedirs(args.output_dir, exist_ok=True)

										# get download links
										lowerCAmelCase_       	=	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)

										# download artifacts
										for idx, (name, url) in enumerate(artifacts.items()):
															print(name)
															print(url)
															print('''=''' * 80)
															download_artifact(name, url, args.output_dir, args.token)
															# Be gentle to GitHub
															time.sleep(1)

    # extract warnings from artifacts
					lowerCAmelCase_       	=	extract_warnings(args.output_dir, args.targets)
					lowerCAmelCase_       	=	sorted(selected_warnings)
					with open(os.path.join(args.output_dir, '''selected_warnings.json'''), '''w''', encoding='''UTF-8''') as fp:
										json.dump(selected_warnings, fp, ensure_ascii=False, indent=4)


from typing import TYPE_CHECKING

from ...utils import (
    OptionalDependencyNotAvailable,
    _LazyModule,
    is_flax_available,
    is_tf_available,
    is_tokenizers_available,
    is_torch_available,
)


lowerCAmelCase_       	=	{'''configuration_opt''': ['''OPT_PRETRAINED_CONFIG_ARCHIVE_MAP''', '''OPTConfig''']}

try:
					if not is_torch_available():
										raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
					pass
else:
					lowerCAmelCase_       	=	[
					    '''OPT_PRETRAINED_MODEL_ARCHIVE_LIST''',
					    '''OPTForCausalLM''',
					    '''OPTModel''',
					    '''OPTPreTrainedModel''',
					    '''OPTForSequenceClassification''',
					    '''OPTForQuestionAnswering''',
					]

try:
					if not is_tf_available():
										raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
					pass
else:
					lowerCAmelCase_       	=	['''TFOPTForCausalLM''', '''TFOPTModel''', '''TFOPTPreTrainedModel''']

try:
					if not is_flax_available():
										raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
					pass
else:
					lowerCAmelCase_       	=	[
					    '''FlaxOPTForCausalLM''',
					    '''FlaxOPTModel''',
					    '''FlaxOPTPreTrainedModel''',
					]


if TYPE_CHECKING:
					from .configuration_opt import OPT_PRETRAINED_CONFIG_ARCHIVE_MAP, OPTConfig

					try:
										if not is_torch_available():
															raise OptionalDependencyNotAvailable()
					except OptionalDependencyNotAvailable:
										pass
					else:
										from .modeling_opt import (
										    OPT_PRETRAINED_MODEL_ARCHIVE_LIST,
										    OPTForCausalLM,
										    OPTForQuestionAnswering,
										    OPTForSequenceClassification,
										    OPTModel,
										    OPTPreTrainedModel,
										)

					try:
										if not is_tf_available():
															raise OptionalDependencyNotAvailable()
					except OptionalDependencyNotAvailable:
										pass
					else:
										from .modeling_tf_opt import TFOPTForCausalLM, TFOPTModel, TFOPTPreTrainedModel

					try:
										if not is_flax_available():
															raise OptionalDependencyNotAvailable()
					except OptionalDependencyNotAvailable:
										pass
					else:
										from .modeling_flax_opt import FlaxOPTForCausalLM, FlaxOPTModel, FlaxOPTPreTrainedModel

else:
					import sys

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