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

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


lowerCamelCase_    :		List[str]							=	logging.get_logger(__name__)


lowerCamelCase_    :		Union[str, Any]							=	{
    """vocab_file""": """vocab.json""",
    """tokenizer_config_file""": """tokenizer_config.json""",
    """merges_file""": """merges.txt""",
}

lowerCamelCase_    :		Optional[Any]							=	{
    """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"""
        ),
    },
}

lowerCamelCase_    :		List[Any]							=	"""</w>"""
lowerCamelCase_    :		List[Any]							=	"""@@ """
def 							lowerCAmelCase(     __lowerCamelCase						):
					__a		 =       set()
					__a		 =       word[0]
					for char in word[1:]:
										pairs.add((prev_char, char)						)
										__a		 =       char
					return pairs


# Speech2Text2 has no max input length
lowerCamelCase_    :		Any							=	{"""facebook/s2t-wav2vec2-large-en-de""": 1_024}



class 						a__							(       __snake_case		):
			A__    :       Tuple        =      VOCAB_FILES_NAMES
			A__    :       Dict        =      PRETRAINED_VOCAB_FILES_MAP
			A__    :       List[str]        =      PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
			A__    :       Union[str, Any]        =      ['input_ids', 'attention_mask']



			def __init__(						self				,						UpperCAmelCase				,						UpperCAmelCase="<s>"				,						UpperCAmelCase="<pad>"				,						UpperCAmelCase="</s>"				,						UpperCAmelCase="<unk>"				,						UpperCAmelCase=False				,						UpperCAmelCase=None				,						**UpperCAmelCase				,						)			->   List[Any]:
								super().__init__(
								    unk_token=UpperCAmelCase				,						bos_token=UpperCAmelCase				,						eos_token=UpperCAmelCase				,						pad_token=UpperCAmelCase				,						do_lower_case=UpperCAmelCase				,						**UpperCAmelCase				,						)

								__a		 =       do_lower_case

								with open(UpperCAmelCase				,						encoding='utf-8'   ) as vocab_handle:
													__a		 =       json.load(UpperCAmelCase   )
								__a		 =       {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.'''   )

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

													__a		 =       [tuple(merge.split()[:2]   ) for merge in merges]
													__a		 =       dict(zip(UpperCAmelCase				,						range(len(UpperCAmelCase   )   )   )   )
													__a		 =       {}



			@property
			def __SCREAMING_SNAKE_CASE							(						self   )			->   int:
								return len(self.decoder   )



			def __SCREAMING_SNAKE_CASE							(						self   )			->   Dict:
								return dict(self.encoder				,						**self.added_tokens_encoder   )



			def __SCREAMING_SNAKE_CASE							(						self				,						UpperCAmelCase   )			->   Tuple:
								__a		 =       tuple(token[:-1]   ) + (token[-1] + BPE_TOKEN_MERGES,)
								if token in self.cache:
													return self.cache[token]
								__a		 =       get_pairs(UpperCAmelCase   )

								if not pairs:
													return token

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

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

								if word.endswith(UpperCAmelCase   ):
													__a		 =       word.replace(UpperCAmelCase				,						''   )

								__a		 =       word.replace(' '				,						UpperCAmelCase   )
								__a		 =       word
								return word



			def __SCREAMING_SNAKE_CASE							(						self				,						UpperCAmelCase   )			->   Any:

								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:
													__a		 =       text.lower()

								__a		 =       text.split()

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

								return split_tokens



			def __SCREAMING_SNAKE_CASE							(						self				,						UpperCAmelCase   )			->   int:
								return self.encoder.get(UpperCAmelCase				,						self.encoder.get(self.unk_token   )   )



			def __SCREAMING_SNAKE_CASE							(						self				,						UpperCAmelCase   )			->   str:
								__a		 =       self.decoder.get(UpperCAmelCase				,						self.unk_token   )
								return result



			def __SCREAMING_SNAKE_CASE							(						self				,						UpperCAmelCase   )			->   str:
								__a		 =       ' '.join(UpperCAmelCase   )

								# make sure @@ tokens are concatenated
								__a		 =       ''.join(string.split(UpperCAmelCase   )   )

								return string







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

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

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

								with open(UpperCAmelCase				,						'w'				,						encoding='utf-8'   ) as writer:
													for bpe_tokens, token_index in sorted(self.bpe_ranks.items()				,						key=lambda UpperCAmelCase   : 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!'   )
																							__a		 =       token_index
																		writer.write(' '.join(UpperCAmelCase   ) + '\n'   )
																		index += 1

								return (vocab_file, merges_file)





import warnings

from ..trainer import Trainer
from ..utils import logging


lowerCamelCase_    :		Union[str, Any]							=	logging.get_logger(__name__)


class 						a__							(       __snake_case		):



			def __init__(						self				,						UpperCAmelCase=None				,						**UpperCAmelCase   )			->   Any:
								warnings.warn(
								    '`SageMakerTrainer` is deprecated and will be removed in v5 of Transformers. You can use `Trainer` '
								    'instead.'				,						UpperCAmelCase				,						)
								super().__init__(args=UpperCAmelCase				,						**UpperCAmelCase   )




