
import json
import os
from typing import Dict, List, Optional, Tuple

from ...tokenization_utils import PreTrainedTokenizer
from ...utils import logging


__a         =   logging.get_logger(__name__)


__a         =   {
    'vocab_file': 'vocab.json',
    'tokenizer_config_file': 'tokenizer_config.json',
    'merges_file': 'merges.txt',
}

__a         =   {
    'vocab_file': {
        'facebook/s2t-wav2vec2-large-en-de': (
            'https://huggingface.co/facebook/s2t-wav2vec2-large-en-de/resolve/main/vocab.json'
        ),
    },
    'tokenizer_config_file': {
        'facebook/s2t-wav2vec2-large-en-de': (
            'https://huggingface.co/facebook/s2t-wav2vec2-large-en-de/resolve/main/tokenizer_config.json'
        ),
    },
    'merges_file': {
        'facebook/s2t-wav2vec2-large-en-de': (
            'https://huggingface.co/facebook/s2t-wav2vec2-large-en-de/resolve/main/merges.txt'
        ),
    },
}

__a         =   '</w>'
__a         =   '@@ '




def 							a		(				snake_case__:   Dict   ):


				'''simple docstring'''
				lowercase_	    =   set()
				lowercase_	    =   word[0]
				for char in word[1:]:
								pairs.add((prev_char, char)   )
								lowercase_	    =   char
				return pairs


# Speech2Text2 has no max input length
__a         =   {'facebook/s2t-wav2vec2-large-en-de': 1_0_2_4}


class 					lowercase__(							UpperCAmelCase				):



	"""simple docstring"""




	a     :int       	=      VOCAB_FILES_NAMES
	a     :Optional[int]       	=      PRETRAINED_VOCAB_FILES_MAP
	a     :List[str]       	=      PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
	a     :Tuple       	=      ['input_ids', 'attention_mask']
	def __init__(			self    :     List[str]			,				SCREAMING_SNAKE_CASE_    :     str			,				SCREAMING_SNAKE_CASE_    :     List[Any]="<s>"			,				SCREAMING_SNAKE_CASE_    :     Tuple="<pad>"			,				SCREAMING_SNAKE_CASE_    :     int="</s>"			,				SCREAMING_SNAKE_CASE_    :     int="<unk>"			,				SCREAMING_SNAKE_CASE_    :     Optional[Any]=False			,				SCREAMING_SNAKE_CASE_    :     Optional[Any]=None			,				**SCREAMING_SNAKE_CASE_    :     str			,				)			->	Optional[int]:
					super().__init__(
					    unk_token=SCREAMING_SNAKE_CASE_			,				bos_token=SCREAMING_SNAKE_CASE_			,				eos_token=SCREAMING_SNAKE_CASE_			,				pad_token=SCREAMING_SNAKE_CASE_			,				do_lower_case=SCREAMING_SNAKE_CASE_			,				**SCREAMING_SNAKE_CASE_			,				)

					lowercase_	    =   do_lower_case

					with open(SCREAMING_SNAKE_CASE_			,				encoding='''utf-8'''			) as vocab_handle:
									lowercase_	    =   json.load(SCREAMING_SNAKE_CASE_			)
					lowercase_	    =   {v: k for k, v in self.encoder.items()}

					if merges_file is None:
									logger.info(f'''No merges files provided. {self.__class__.__name__} can only be used for decoding.'''			)

									lowercase_	    =   None
									lowercase_	    =   None
					else:
									with open(SCREAMING_SNAKE_CASE_			,				encoding='''utf-8'''			) as merges_handle:
													lowercase_	    =   merges_handle.read().split('''\n'''			)[:-1]

									lowercase_	    =   [tuple(merge.split()[:2]			) for merge in merges]
									lowercase_	    =   dict(zip(SCREAMING_SNAKE_CASE_			,				range(len(SCREAMING_SNAKE_CASE_			)			)			)			)
									lowercase_	    =   {}
	@property
	def 		_lowercase    (			self    :     Any			)			->	int:
					return len(self.decoder			)
	def 		_lowercase    (			self    :     List[str]			)			->	Dict:
					return dict(self.encoder			,				**self.added_tokens_encoder			)
	def 		_lowercase    (			self    :     List[str]			,				SCREAMING_SNAKE_CASE_    :     Any			)			->	int:
					lowercase_	    =   tuple(token[:-1]			) + (token[-1] + BPE_TOKEN_MERGES,)
					if token in self.cache:
									return self.cache[token]
					lowercase_	    =   get_pairs(SCREAMING_SNAKE_CASE_			)

					if not pairs:
									return token

					while True:
									lowercase_	    =   min(SCREAMING_SNAKE_CASE_			,				key=lambda SCREAMING_SNAKE_CASE_			: self.bpe_ranks.get(SCREAMING_SNAKE_CASE_			,				float('''inf'''			)			)			)
									if bigram not in self.bpe_ranks:
													break
									lowercase_    ,      lowercase_	    =   bigram
									lowercase_	    =   []
									lowercase_	    =   0
									while i < len(SCREAMING_SNAKE_CASE_			):
													try:
																	lowercase_	    =   word.index(SCREAMING_SNAKE_CASE_			,				SCREAMING_SNAKE_CASE_			)
													except ValueError:
																	new_word.extend(word[i:]			)
																	break
													else:
																	new_word.extend(word[i:j]			)
																	lowercase_	    =   j

													if word[i] == first and i < len(SCREAMING_SNAKE_CASE_			) - 1 and word[i + 1] == second:
																	new_word.append(first + second			)
																	i += 2
													else:
																	new_word.append(word[i]			)
																	i += 1
									lowercase_	    =   tuple(SCREAMING_SNAKE_CASE_			)
									lowercase_	    =   new_word
									if len(SCREAMING_SNAKE_CASE_			) == 1:
													break
									else:
													lowercase_	    =   get_pairs(SCREAMING_SNAKE_CASE_			)
					lowercase_	    =   ''' '''.join(SCREAMING_SNAKE_CASE_			)
					if word == "\n  " + BPE_TOKEN_MERGES:
									lowercase_	    =   '''\n''' + BPE_TOKEN_MERGES

					if word.endswith(SCREAMING_SNAKE_CASE_			):
									lowercase_	    =   word.replace(SCREAMING_SNAKE_CASE_			,				''''''			)

					lowercase_	    =   word.replace(''' '''			,				SCREAMING_SNAKE_CASE_			)
					lowercase_	    =   word
					return word
	def 		_lowercase    (			self    :     Optional[Any]			,				SCREAMING_SNAKE_CASE_    :     List[Any]			)			->	Tuple:

					if self.bpe_ranks is None:
									raise ValueError(
									    '''This tokenizer was instantiated without a `merges.txt` file, so'''
									    ''' that it can only be used for decoding, not for encoding.'''
									    '''Make sure to provide `merges.txt` file at instantiation to enable '''
									    '''encoding.'''			)

					if self.do_lower_case:
									lowercase_	    =   text.lower()

					lowercase_	    =   text.split()

					lowercase_	    =   []
					for token in text:
									if token:
													split_tokens.extend(list(self.bpe(SCREAMING_SNAKE_CASE_			).split(''' '''			)			)			)

					return split_tokens
	def 		_lowercase    (			self    :     Tuple			,				SCREAMING_SNAKE_CASE_    :     str			)			->	int:
					return self.encoder.get(SCREAMING_SNAKE_CASE_			,				self.encoder.get(self.unk_token			)			)
	def 		_lowercase    (			self    :     List[str]			,				SCREAMING_SNAKE_CASE_    :     int			)			->	str:
					lowercase_	    =   self.decoder.get(SCREAMING_SNAKE_CASE_			,				self.unk_token			)
					return result
	def 		_lowercase    (			self    :     Any			,				SCREAMING_SNAKE_CASE_    :     List[str]			)			->	str:
					lowercase_	    =   ''' '''.join(SCREAMING_SNAKE_CASE_			)

					# make sure @@ tokens are concatenated
					lowercase_	    =   ''''''.join(string.split(SCREAMING_SNAKE_CASE_			)			)

					return string




	def 		_lowercase    (			self    :     Any			,				SCREAMING_SNAKE_CASE_    :     str			,				SCREAMING_SNAKE_CASE_    :     Optional[str] = None			)			->	Tuple[str]:
					if not os.path.isdir(SCREAMING_SNAKE_CASE_			):
									logger.error(f'''Vocabulary path ({save_directory}) should be a directory'''			)
									return
					lowercase_	    =   os.path.join(
					    SCREAMING_SNAKE_CASE_			,				(filename_prefix + '''-''' if filename_prefix else '''''') + VOCAB_FILES_NAMES['''vocab_file''']			)
					lowercase_	    =   os.path.join(
					    SCREAMING_SNAKE_CASE_			,				(filename_prefix + '''-''' if filename_prefix else '''''') + VOCAB_FILES_NAMES['''merges_file''']			)

					with open(SCREAMING_SNAKE_CASE_			,				'''w'''			,				encoding='''utf-8'''			) as f:
									f.write(json.dumps(self.encoder			,				indent=2			,				sort_keys=SCREAMING_SNAKE_CASE_			,				ensure_ascii=SCREAMING_SNAKE_CASE_			) + '''\n'''			)

					lowercase_	    =   0
					if self.bpe_ranks is None:
									return (vocab_file,)

					with open(SCREAMING_SNAKE_CASE_			,				'''w'''			,				encoding='''utf-8'''			) as writer:
									for bpe_tokens, token_index in sorted(self.bpe_ranks.items()			,				key=lambda SCREAMING_SNAKE_CASE_			: kv[1]			):
													if index != token_index:
																	logger.warning(
																	    f'''Saving vocabulary to {merges_file}: BPE merge indices are not consecutive.'''
																	    ''' Please check that the tokenizer is not corrupted!'''			)
																	lowercase_	    =   token_index
													writer.write(''' '''.join(SCREAMING_SNAKE_CASE_			) + '''\n'''			)
													index += 1

					return (vocab_file, merges_file)









"""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)



