



"""simple docstring"""







import json
import os
import unittest

from transformers import MgpstrTokenizer
from transformers.models.mgp_str.tokenization_mgp_str import VOCAB_FILES_NAMES
from transformers.testing_utils import require_tokenizers

from ...test_tokenization_common import TokenizerTesterMixin

@require_tokenizers
class       _a  ( SCREAMING_SNAKE_CASE__     ,	unittest.TestCase):
			__magic_name__     					=     MgpstrTokenizer
			__magic_name__     					=     False
			__magic_name__     					=     {}
			__magic_name__     					=     False



			def 				__lowercase					(			self							:				Union[str, Any]		)							->					List[str]:
									super().setUp()

									# fmt: off
									snake_case   :			Optional[int]						    = ["[GO]", "[s]", "0", "1", "2", "3", "4", "5", "6", "7", "8", "9", "a", "b", "c", "d", "e", "f", "g", "h", "i", "j", "k", "l", "m", "n", "o", "p", "q", "r", "s", "t", "u", "v", "w", "x", "y", "z"]
									# fmt: on
									snake_case   :			Dict						    = dict(zip(_lowercase   ,	range(len(_lowercase		)		)		)		)

									snake_case   :			Dict						    = os.path.join(self.tmpdirname   ,	VOCAB_FILES_NAMES["vocab_file"]		)
									with open(self.vocab_file   ,	"w"   ,	encoding="utf-8"		) as fp:
															fp.write(json.dumps(_lowercase		) + "\n"		)



			def 				__lowercase					(			self							:				List[Any]   ,	**_lowercase							:				Union[str, Any]		)							->					int:
									return MgpstrTokenizer.from_pretrained(self.tmpdirname   ,	**_lowercase		)



			def 				__lowercase					(			self							:				Tuple   ,	_lowercase							:				Dict		)							->					Optional[int]:
									snake_case   :			Dict						    = "tester"
									snake_case   :			Optional[Any]						    = "tester"
									return input_text, output_text



			@unittest.skip("MGP-STR always lower cases letters."		)
			def 				__lowercase					(			self							:				List[Any]		)							->					Optional[Any]:
									pass



			def 				__lowercase					(			self							:				List[str]		)							->					str:
									snake_case   :			Union[str, Any]						    = self.get_tokenizers(do_lower_case=_lowercase		)
									for tokenizer in tokenizers:
															with self.subTest(F'''{tokenizer.__class__.__name__}'''		):
																					snake_case   :			List[Any]						    = "[SPECIAL_TOKEN]"

																					tokenizer.add_special_tokens({"cls_token": special_token}		)
																					snake_case   :			Tuple						    = tokenizer.encode([special_token]   ,	add_special_tokens=_lowercase		)
																					self.assertEqual(len(_lowercase		)   ,	1		)

																					snake_case   :			Any						    = tokenizer.decode(_lowercase   ,	skip_special_tokens=_lowercase		)
																					self.assertTrue(special_token not in decoded		)



			def 				__lowercase					(			self							:				int		)							->					Optional[Any]:
									snake_case   :			Union[str, Any]						    = self.get_tokenizers()
									for tokenizer in tokenizers:
															with self.subTest(F'''{tokenizer.__class__.__name__}'''		):
																					snake_case    ,			snake_case   :			str						    = self.get_input_output_texts(_lowercase		)

																					snake_case   :			Tuple						    = tokenizer.tokenize(_lowercase		)
																					snake_case   :			Dict						    = tokenizer.convert_tokens_to_ids(_lowercase		)
																					snake_case   :			Dict						    = tokenizer.encode(_lowercase   ,	add_special_tokens=_lowercase		)
																					self.assertListEqual(_lowercase   ,	_lowercase		)

																					snake_case   :			Dict						    = tokenizer.convert_ids_to_tokens(_lowercase		)
																					self.assertNotEqual(len(_lowercase		)   ,	0		)
																					snake_case   :			List[str]						    = tokenizer.decode(_lowercase		)
																					self.assertIsInstance(_lowercase   ,	_lowercase		)

																					self.assertEqual(text_a.replace(" "   ,	""		)   ,	_lowercase		)



			@unittest.skip("MGP-STR tokenizer only handles one sequence."		)
			def 				__lowercase					(			self							:				Optional[Any]		)							->					str:
									pass



			@unittest.skip("inputs cannot be pretokenized in MgpstrTokenizer"		)
			def 				__lowercase					(			self							:				Any		)							->					int:
									pass








"""simple docstring"""







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


A		=						logging.get_logger(__name__)

def  __SCREAMING_SNAKE_CASE		(			lowerCamelCase_:							Optional[int]     ,		lowerCamelCase_:							List[Any] ):
						"""simple docstring"""






						snake_case   :			Optional[Any]						    = set()
						snake_case   :			Optional[int]						    = []

						def parse_line(lowerCamelCase_:							Union[str, Any] ):
												for line in fp:
																		if isinstance(lowerCamelCase_     ,		lowerCamelCase_ ):
																								snake_case   :			Optional[Any]						    = 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(lowerCamelCase_ ) > 0:
																														snake_case   :			str						    = "\n".join(lowerCamelCase_ )
																														# Only keep the warnings specified in `targets`
																														if any(f''': {x}: ''' in warning for x in targets ):
																																				selected_warnings.add(lowerCamelCase_ )
																														buffer.clear()
																								continue
																		else:
																								snake_case   :			Dict						    = line.strip()
																								buffer.append(lowerCamelCase_ )

						if from_gh:
												for filename in os.listdir(lowerCamelCase_ ):
																		snake_case   :			Tuple						    = os.path.join(lowerCamelCase_     ,		lowerCamelCase_ )
																		if not os.path.isdir(lowerCamelCase_ ):
																								# read the file
																								if filename != "warnings.txt":
																														continue
																								with open(lowerCamelCase_ ) as fp:
																														parse_line(lowerCamelCase_ )
						else:
												try:
																		with zipfile.ZipFile(lowerCamelCase_ ) as z:
																								for filename in z.namelist():
																														if not os.path.isdir(lowerCamelCase_ ):
																																				# read the file
																																				if filename != "warnings.txt":
																																										continue
																																				with z.open(lowerCamelCase_ ) as fp:
																																										parse_line(lowerCamelCase_ )
												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		(			lowerCamelCase_:							Union[str, Any]     ,		lowerCamelCase_:							Any ):
						"""simple docstring"""






						snake_case   :			Dict						    = set()

						snake_case   :			str						    = [os.path.join(lowerCamelCase_     ,		lowerCamelCase_ ) for p in os.listdir(lowerCamelCase_ ) if (p.endswith(".zip" ) or from_gh)]
						for p in paths:
												selected_warnings.update(extract_warnings_from_single_artifact(lowerCamelCase_     ,		lowerCamelCase_ ) )

						return selected_warnings


if __name__ == "__main__":

			def  __SCREAMING_SNAKE_CASE		(			lowerCamelCase_:							Dict ):
									"""simple docstring"""






									return values.split("," )

			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.')
			# 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.',
			)

			A		=						parser.parse_args()

			A		=						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
						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)

						# download artifacts
						for idx, (name, url) in enumerate(artifacts.items()):
									print(name)
									print(url)
									print('=' * 8_0)
									download_artifact(name, url, args.output_dir, args.token)
									# Be gentle to GitHub
									time.sleep(1)

    # extract warnings from artifacts
			A		=						extract_warnings(args.output_dir, args.targets)
			A		=						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)



