




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

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


__UpperCamelCase					:       Any    					=      logging.get_logger(__name__)


__UpperCamelCase					:       List[str]    					=      {
    "vocab_file": "vocab.json",
    "tokenizer_config_file": "tokenizer_config.json",
    "merges_file": "merges.txt",
}

__UpperCamelCase					:       List[str]    					=      {
    "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"
        ),
    },
}

__UpperCamelCase					:       Optional[int]    					=      "</w>"
__UpperCamelCase					:       Tuple    					=      "@@ "





def 		__A		(	__lowerCamelCase    )      ->       Tuple:
	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
__UpperCamelCase					:       Any    					=      {"facebook/s2t-wav2vec2-large-en-de": 1_024}



class 		__lowerCAmelCase	(	__magic_name__ ):
							UpperCamelCase__					     =  VOCAB_FILES_NAMES
							UpperCamelCase__					     =  PRETRAINED_VOCAB_FILES_MAP
							UpperCamelCase__					     =  PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
							UpperCamelCase__					     =  ['''input_ids''', '''attention_mask''']
							def __init__(						self						:int		,      __magic_name__						:Union[str, Any]		,      __magic_name__						:List[Any]="<s>"		,      __magic_name__						:int="<pad>"		,      __magic_name__						:Optional[int]="</s>"		,      __magic_name__						:Dict="<unk>"		,      __magic_name__						:Tuple=False		,      __magic_name__						:int=None		,      **__magic_name__						:Any		,      ):







								'''simple docstring'''







								super().__init__(
								    unk_token=__magic_name__		,      bos_token=__magic_name__		,      eos_token=__magic_name__		,      pad_token=__magic_name__		,      do_lower_case=__magic_name__		,      **__magic_name__		,      )

								a										=							do_lower_case

								with open(__magic_name__		,      encoding="""utf-8"""				) as vocab_handle:
									a										=							json.load(__magic_name__				)
								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(__magic_name__		,      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(__magic_name__		,      range(len(__magic_name__				)				)				)				)
									a										=							{}
							@property
							def       lowerCamelCase__							(						self						:int				):







								'''simple docstring'''







								return len(self.decoder				)
							def       lowerCamelCase__							(						self						:Optional[int]				):







								'''simple docstring'''







								return dict(self.encoder		,      **self.added_tokens_encoder				)
							def       lowerCamelCase__							(						self						:Optional[Any]		,      __magic_name__						:Optional[int]				):







								'''simple docstring'''







								a										=							tuple(token[:-1]				) + (token[-1] + BPE_TOKEN_MERGES,)
								if token in self.cache:
									return self.cache[token]
								a										=							get_pairs(__magic_name__				)

								if not pairs:
									return token

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

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

								if word.endswith(__magic_name__				):
									a										=							word.replace(__magic_name__		,      """"""				)

								a										=							word.replace(""" """		,      __magic_name__				)
								a										=							word
								return word
							def       lowerCamelCase__							(						self						:List[str]		,      __magic_name__						:int				):







								'''simple docstring'''







								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(__magic_name__				).split(""" """				)				)				)

								return split_tokens
							def       lowerCamelCase__							(						self						:str		,      __magic_name__						:str				):







								'''simple docstring'''







								return self.encoder.get(__magic_name__		,      self.encoder.get(self.unk_token				)				)
							def       lowerCamelCase__							(						self						:List[str]		,      __magic_name__						:int				):







								'''simple docstring'''







								a										=							self.decoder.get(__magic_name__		,      self.unk_token				)
								return result
							def       lowerCamelCase__							(						self						:Dict		,      __magic_name__						:List[str]				):







								'''simple docstring'''







								a										=							""" """.join(__magic_name__				)

								# make sure @@ tokens are concatenated
								a										=							"""""".join(string.split(__magic_name__				)				)

								return string





							def       lowerCamelCase__							(						self						:Optional[Any]		,      __magic_name__						:str		,      __magic_name__						:Optional[str] = None				):







								'''simple docstring'''







								if not os.path.isdir(__magic_name__				):
									logger.error(F'Vocabulary path ({save_directory}) should be a directory'				)
									return
								a										=							os.path.join(
								    __magic_name__		,      (filename_prefix + """-""" if filename_prefix else """""") + VOCAB_FILES_NAMES["""vocab_file"""]				)
								a										=							os.path.join(
								    __magic_name__		,      (filename_prefix + """-""" if filename_prefix else """""") + VOCAB_FILES_NAMES["""merges_file"""]				)

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

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

								with open(__magic_name__		,      """w"""		,      encoding="""utf-8"""				) as writer:
									for bpe_tokens, token_index in sorted(self.bpe_ranks.items()		,      key=lambda __magic_name__				: 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(__magic_name__				) + """\n"""				)
										index += 1

								return (vocab_file, merges_file)







def 		__A		(	__lowerCamelCase							,			__lowerCamelCase    )      ->       str:
	if not isinstance(__lowerCamelCase							,			__lowerCamelCase    ):
		raise ValueError("""iterations must be defined as integers"""    )
	if not isinstance(__lowerCamelCase							,			__lowerCamelCase    ) or not number >= 1:
		raise ValueError(
		    """starting number must be
                         and integer and be more than 0"""    )
	if not iterations >= 1:
		raise ValueError("""Iterations must be done more than 0 times to play FizzBuzz"""    )

	a										=							""""""
	while number <= iterations:
		if number % 3 == 0:
			out += "Fizz"
		if number % 5 == 0:
			out += "Buzz"
		if 0 not in (number % 3, number % 5):
			out += str(__lowerCamelCase    )

		# print(out)
		number += 1
		out += " "
	return out


if __name__ == "__main__":
		import doctest

		doctest.testmod()

