
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    lowerCamelCase__				(				__lowerCAmelCase  :  List[Any]				):




			"""simple docstring"""


			lowerCAmelCase_						=	set()
			lowerCAmelCase_						=	word[0]
			for char in word[1:]:
						pairs.add((prev_char, char)				)
						lowerCAmelCase_						=	char
			return pairs


# Speech2Text2 has no max input length
_A   =     {"facebook/s2t-wav2vec2-large-en-de": 10_24}





class 	_lowerCAmelCase					(	__a       ):
				_lowercase					=VOCAB_FILES_NAMES
				_lowercase					=PRETRAINED_VOCAB_FILES_MAP
				_lowercase					=PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
				_lowercase					=['''input_ids''', '''attention_mask''']




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

							lowerCAmelCase_						=	do_lower_case

							with open(_UpperCamelCase				,				encoding="utf-8"     ) as vocab_handle:
										lowerCAmelCase_						=	json.load(_UpperCamelCase     )
							lowerCAmelCase_						=	{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."""     )

										lowerCAmelCase_						=	None
										lowerCAmelCase_						=	None
							else:
										with open(_UpperCamelCase				,				encoding="utf-8"     ) as merges_handle:
													lowerCAmelCase_						=	merges_handle.read().split("\n"     )[:-1]

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




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




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




				def      __a						(					self				,				_UpperCamelCase     )				->      Optional[int]:
							lowerCAmelCase_						=	tuple(token[:-1]     ) + (token[-1] + BPE_TOKEN_MERGES,)
							if token in self.cache:
										return self.cache[token]
							lowerCAmelCase_						=	get_pairs(_UpperCamelCase     )

							if not pairs:
										return token

							while True:
										lowerCAmelCase_						=	min(_UpperCamelCase				,				key=lambda _UpperCamelCase     : self.bpe_ranks.get(_UpperCamelCase				,				float("inf"     )     )     )
										if bigram not in self.bpe_ranks:
													break
										lowerCAmelCase_	,  lowerCAmelCase_						=	bigram
										lowerCAmelCase_						=	[]
										lowerCAmelCase_						=	0
										while i < len(_UpperCamelCase     ):
													try:
																lowerCAmelCase_						=	word.index(_UpperCamelCase				,				_UpperCamelCase     )
													except ValueError:
																new_word.extend(word[i:]     )
																break
													else:
																new_word.extend(word[i:j]     )
																lowerCAmelCase_						=	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
										lowerCAmelCase_						=	tuple(_UpperCamelCase     )
										lowerCAmelCase_						=	new_word
										if len(_UpperCamelCase     ) == 1:
													break
										else:
													lowerCAmelCase_						=	get_pairs(_UpperCamelCase     )
							lowerCAmelCase_						=	" ".join(_UpperCamelCase     )
							if word == "\n  " + BPE_TOKEN_MERGES:
										lowerCAmelCase_						=	"\n" + BPE_TOKEN_MERGES

							if word.endswith(_UpperCamelCase     ):
										lowerCAmelCase_						=	word.replace(_UpperCamelCase				,				""     )

							lowerCAmelCase_						=	word.replace(" "				,				_UpperCamelCase     )
							lowerCAmelCase_						=	word
							return word




				def      __a						(					self				,				_UpperCamelCase     )				->      int:

							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:
										lowerCAmelCase_						=	text.lower()

							lowerCAmelCase_						=	text.split()

							lowerCAmelCase_						=	[]
							for token in text:
										if token:
													split_tokens.extend(list(self.bpe(_UpperCamelCase     ).split(" "     )     )     )

							return split_tokens




				def      __a						(					self				,				_UpperCamelCase     )				->      int:
							return self.encoder.get(_UpperCamelCase				,				self.encoder.get(self.unk_token     )     )




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




				def      __a						(					self				,				_UpperCamelCase     )				->      str:
							lowerCAmelCase_						=	" ".join(_UpperCamelCase     )

							# make sure @@ tokens are concatenated
							lowerCAmelCase_						=	"".join(string.split(_UpperCamelCase     )     )

							return string




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

							lowerCAmelCase_						=	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!"     )
																lowerCAmelCase_						=	token_index
													writer.write(" ".join(_UpperCamelCase     ) + "\n"     )
													index += 1

							return (vocab_file, merges_file)





from argparse import ArgumentParser

from .add_new_model import AddNewModelCommand
from .add_new_model_like import AddNewModelLikeCommand
from .convert import ConvertCommand
from .download import DownloadCommand
from .env import EnvironmentCommand
from .lfs import LfsCommands
from .pt_to_tf import PTtoTFCommand
from .run import RunCommand
from .serving import ServeCommand
from .user import UserCommands






def    lowerCamelCase__				(				):




			"""simple docstring"""


			lowerCAmelCase_						=	ArgumentParser("Transformers CLI tool"    ,							usage="transformers-cli <command> [<args>]"				)
			lowerCAmelCase_						=	parser.add_subparsers(help="transformers-cli command helpers"				)

			# Register commands
			ConvertCommand.register_subcommand(__lowerCAmelCase				)
			DownloadCommand.register_subcommand(__lowerCAmelCase				)
			EnvironmentCommand.register_subcommand(__lowerCAmelCase				)
			RunCommand.register_subcommand(__lowerCAmelCase				)
			ServeCommand.register_subcommand(__lowerCAmelCase				)
			UserCommands.register_subcommand(__lowerCAmelCase				)
			AddNewModelCommand.register_subcommand(__lowerCAmelCase				)
			AddNewModelLikeCommand.register_subcommand(__lowerCAmelCase				)
			LfsCommands.register_subcommand(__lowerCAmelCase				)
			PTtoTFCommand.register_subcommand(__lowerCAmelCase				)

			# Let's go
			lowerCAmelCase_						=	parser.parse_args()

			if not hasattr(__lowerCAmelCase    ,							"func"				):
						parser.print_help()
						exit(1				)

			# Run
			lowerCAmelCase_						=	args.func(__lowerCAmelCase				)
			service.run()


if __name__ == "__main__":
			main()



