




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

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


lowercase__  		=		logging.get_logger(__name__)


lowercase__  		=		{
    """vocab_file""": """vocab.json""",
    """tokenizer_config_file""": """tokenizer_config.json""",
    """merges_file""": """merges.txt""",
}

lowercase__  		=		{
    """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"""
        ),
    },
}

lowercase__  		=		"""</w>"""
lowercase__  		=		"""@@ """







def   _snake_case    (       lowercase__	):
				_lowerCamelCase  :    Optional[int]					=					set()
				_lowerCamelCase  :    Tuple					=					word[0]
				for char in word[1:]:
								pairs.add((prev_char, char)	)
								_lowerCamelCase  :    List[str]					=					char
				return pairs


# Speech2Text2 has no max input length
lowercase__  		=		{"""facebook/s2t-wav2vec2-large-en-de""": 1024}






class lowerCAmelCase__			(  __A		):






			'''simple docstring'''



			lowerCamelCase__   =    VOCAB_FILES_NAMES
			lowerCamelCase__   =    PRETRAINED_VOCAB_FILES_MAP
			lowerCamelCase__   =    PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
			lowerCamelCase__   =    ["""input_ids""", """attention_mask"""]
			def __init__(						self						,   lowercase						,   lowercase="<s>"						,   lowercase="<pad>"						,   lowercase="</s>"						,   lowercase="<unk>"						,   lowercase=False						,   lowercase=None						,   **lowercase						,   ):
							super().__init__(
							    unk_token=UpperCamelCase__						,   bos_token=UpperCamelCase__						,   eos_token=UpperCamelCase__						,   pad_token=UpperCamelCase__						,   do_lower_case=UpperCamelCase__						,   **UpperCamelCase__						,   )

							_lowerCamelCase  :    Dict					=					do_lower_case

							with open(UpperCamelCase__						,   encoding='utf-8'						) as vocab_handle:
											_lowerCamelCase  :    Optional[int]					=					json.load(UpperCamelCase__						)
							_lowerCamelCase  :    Optional[int]					=					{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  :    Optional[int]					=					None
											_lowerCamelCase  :    Any					=					None
							else:
											with open(UpperCamelCase__						,   encoding='utf-8'						) as merges_handle:
															_lowerCamelCase  :    Union[str, Any]					=					merges_handle.read().split('\n'						)[:-1]

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

							if not pairs:
											return token

							while True:
											_lowerCamelCase  :    List[str]					=					min(UpperCamelCase__						,   key=lambda lowercase						: self.bpe_ranks.get(UpperCamelCase__						,   float('inf'						)						)						)
											if bigram not in self.bpe_ranks:
															break
											_lowerCamelCase  :    Any					=					bigram
											_lowerCamelCase  :    str					=					[]
											_lowerCamelCase  :    Any					=					0
											while i < len(UpperCamelCase__						):
															try:
																			_lowerCamelCase  :    Optional[Any]					=					word.index(UpperCamelCase__						,   UpperCamelCase__						)
															except ValueError:
																			new_word.extend(word[i:]						)
																			break
															else:
																			new_word.extend(word[i:j]						)
																			_lowerCamelCase  :    Tuple					=					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  :    int					=					tuple(UpperCamelCase__						)
											_lowerCamelCase  :    Optional[int]					=					new_word
											if len(UpperCamelCase__						) == 1:
															break
											else:
															_lowerCamelCase  :    Dict					=					get_pairs(UpperCamelCase__						)
							_lowerCamelCase  :    Dict					=					' '.join(UpperCamelCase__						)
							if word == "\n  " + BPE_TOKEN_MERGES:
											_lowerCamelCase  :    int					=					'\n' + BPE_TOKEN_MERGES

							if word.endswith(UpperCamelCase__						):
											_lowerCamelCase  :    Optional[Any]					=					word.replace(UpperCamelCase__						,   ''						)

							_lowerCamelCase  :    Optional[Any]					=					word.replace(' '						,   UpperCamelCase__						)
							_lowerCamelCase  :    Union[str, Any]					=					word
							return word
			def       A_					(						self						,   lowercase						):

							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  :    List[Any]					=					text.lower()

							_lowerCamelCase  :    Optional[int]					=					text.split()

							_lowerCamelCase  :    Optional[Any]					=					[]
							for token in text:
											if token:
															split_tokens.extend(list(self.bpe(UpperCamelCase__						).split(' '						)						)						)

							return split_tokens
			def       A_					(						self						,   lowercase						):
							return self.encoder.get(UpperCamelCase__						,   self.encoder.get(self.unk_token						)						)
			def       A_					(						self						,   lowercase						):
							_lowerCamelCase  :    Dict					=					self.decoder.get(UpperCamelCase__						,   self.unk_token						)
							return result
			def       A_					(						self						,   lowercase						):
							_lowerCamelCase  :    Optional[int]					=					' '.join(UpperCamelCase__						)

							# make sure @@ tokens are concatenated
							_lowerCamelCase  :    List[str]					=					''.join(string.split(UpperCamelCase__						)						)

							return string






			def       A_					(						self						,   lowercase						,   lowercase = None						):
							if not os.path.isdir(UpperCamelCase__						):
											logger.error(F'''Vocabulary path ({save_directory}) should be a directory'''						)
											return
							_lowerCamelCase  :    Optional[Any]					=					os.path.join(
							    UpperCamelCase__						,   (filename_prefix + '-' if filename_prefix else '') + VOCAB_FILES_NAMES['vocab_file']						)
							_lowerCamelCase  :    Any					=					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  :    Optional[Any]					=					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 lowercase						: 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  :    str					=					token_index
															writer.write(' '.join(UpperCamelCase__						) + '\n'						)
															index += 1

							return (vocab_file, merges_file)





"""simple docstring"""






from math import pow, sqrt







def   _snake_case    (       *lowercase__	):
				_lowerCamelCase  :    Dict					=					len(lowercase__	) > 0 and all(value > 0.0 for value in values	)
				return result







def   _snake_case    (       lowercase__							,					lowercase__	):
				return (
				    round(sqrt(molar_mass_a / molar_mass_a	)							,					6	)
				    if validate(lowercase__							,					lowercase__	)
				    else ValueError('Input Error: Molar mass values must greater than 0.'	)
				)







def   _snake_case    (       lowercase__							,					lowercase__							,					lowercase__	):
				return (
				    round(effusion_rate * sqrt(molar_mass_a / molar_mass_a	)							,					6	)
				    if validate(lowercase__							,					lowercase__							,					lowercase__	)
				    else ValueError(
				        'Input Error: Molar mass and effusion rate values must greater than 0.'	)
				)







def   _snake_case    (       lowercase__							,					lowercase__							,					lowercase__	):
				return (
				    round(effusion_rate / sqrt(molar_mass_a / molar_mass_a	)							,					6	)
				    if validate(lowercase__							,					lowercase__							,					lowercase__	)
				    else ValueError(
				        'Input Error: Molar mass and effusion rate values must greater than 0.'	)
				)







def   _snake_case    (       lowercase__							,					lowercase__							,					lowercase__	):
				return (
				    round(molar_mass / pow(effusion_rate_a / effusion_rate_a							,					2	)							,					6	)
				    if validate(lowercase__							,					lowercase__							,					lowercase__	)
				    else ValueError(
				        'Input Error: Molar mass and effusion rate values must greater than 0.'	)
				)







def   _snake_case    (       lowercase__							,					lowercase__							,					lowercase__	):
				return (
				    round(pow(effusion_rate_a / effusion_rate_a							,					2	) / molar_mass							,					6	)
				    if validate(lowercase__							,					lowercase__							,					lowercase__	)
				    else ValueError(
				        'Input Error: Molar mass and effusion rate values must greater than 0.'	)
				)