



'''simple docstring'''

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

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


snake_case_      =  logging.get_logger(__name__)


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

snake_case_      =  {
    """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"""
        ),
    },
}

snake_case_      =  """</w>"""
snake_case_      =  """@@ """






def    __lowercase	(_SCREAMING_SNAKE_CASE   :List[Any]							):
				SCREAMING_SNAKE_CASE	:    List[Any]          =			set()
				SCREAMING_SNAKE_CASE	:    int          =			word[0]
				for char in word[1:]:
								pairs.add((prev_char, char)							)
								SCREAMING_SNAKE_CASE	:    Union[str, Any]          =			char
				return pairs


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




class 						a__  (					a__						):
	__magic_name__		:     List[Any]						     =  VOCAB_FILES_NAMES
	__magic_name__		:     List[str]						     =  PRETRAINED_VOCAB_FILES_MAP
	__magic_name__		:     int						     =  PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
	__magic_name__		:     str						     =  ["input_ids", "attention_mask"]


	def __init__(self			:			Union[str, Any],       __UpperCAmelCase			:			Union[str, Any],       __UpperCAmelCase			:			List[Any]="<s>",       __UpperCAmelCase			:			Optional[int]="<pad>",       __UpperCAmelCase			:			str="</s>",       __UpperCAmelCase			:			int="<unk>",       __UpperCAmelCase			:			Union[str, Any]=False,       __UpperCAmelCase			:			Dict=None,       **__UpperCAmelCase			:			Tuple,       )  ->      int:

					"""simple docstring"""

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

					SCREAMING_SNAKE_CASE	:    int          =			do_lower_case

					with open(lowerCamelCase_,       encoding='''utf-8'''   ) as vocab_handle:
									SCREAMING_SNAKE_CASE	:    Any          =			json.load(lowerCamelCase_   )
					SCREAMING_SNAKE_CASE	:    str          =			{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.'''   )

									SCREAMING_SNAKE_CASE	:    List[str]          =			None
									SCREAMING_SNAKE_CASE	:    Optional[Any]          =			None
					else:
									with open(lowerCamelCase_,       encoding='''utf-8'''   ) as merges_handle:
													SCREAMING_SNAKE_CASE	:    int          =			merges_handle.read().split('''\n'''   )[:-1]

									SCREAMING_SNAKE_CASE	:    Optional[int]          =			[tuple(merge.split()[:2]   ) for merge in merges]
									SCREAMING_SNAKE_CASE	:    int          =			dict(zip(lowerCamelCase_,       range(len(lowerCamelCase_   )   )   )   )
									SCREAMING_SNAKE_CASE	:    Dict          =			{}


	@property
	def 					lowercase__	(self			:			List[str]   )  ->      int:

					"""simple docstring"""

					return len(self.decoder   )


	def 					lowercase__	(self			:			Optional[int]   )  ->      Dict:

					"""simple docstring"""

					return dict(self.encoder,       **self.added_tokens_encoder   )


	def 					lowercase__	(self			:			List[Any],       __UpperCAmelCase			:			List[Any]   )  ->      Tuple:

					"""simple docstring"""

					SCREAMING_SNAKE_CASE	:    List[str]          =			tuple(token[:-1]   ) + (token[-1] + BPE_TOKEN_MERGES,)
					if token in self.cache:
									return self.cache[token]
					SCREAMING_SNAKE_CASE	:    int          =			get_pairs(lowerCamelCase_   )

					if not pairs:
									return token

					while True:
									SCREAMING_SNAKE_CASE	:    List[str]          =			min(lowerCamelCase_,       key=lambda __UpperCAmelCase   : self.bpe_ranks.get(lowerCamelCase_,       float('''inf'''   )   )   )
									if bigram not in self.bpe_ranks:
													break
									SCREAMING_SNAKE_CASE       ,       SCREAMING_SNAKE_CASE	:    Any          =			bigram
									SCREAMING_SNAKE_CASE	:    Dict          =			[]
									SCREAMING_SNAKE_CASE	:    int          =			0
									while i < len(lowerCamelCase_   ):
													try:
																	SCREAMING_SNAKE_CASE	:    Optional[Any]          =			word.index(lowerCamelCase_,       lowerCamelCase_   )
													except ValueError:
																	new_word.extend(word[i:]   )
																	break
													else:
																	new_word.extend(word[i:j]   )
																	SCREAMING_SNAKE_CASE	:    List[str]          =			j

													if word[i] == first and i < len(lowerCamelCase_   ) - 1 and word[i + 1] == second:
																	new_word.append(first + second   )
																	i += 2
													else:
																	new_word.append(word[i]   )
																	i += 1
									SCREAMING_SNAKE_CASE	:    str          =			tuple(lowerCamelCase_   )
									SCREAMING_SNAKE_CASE	:    Optional[Any]          =			new_word
									if len(lowerCamelCase_   ) == 1:
													break
									else:
													SCREAMING_SNAKE_CASE	:    Optional[int]          =			get_pairs(lowerCamelCase_   )
					SCREAMING_SNAKE_CASE	:    Any          =			''' '''.join(lowerCamelCase_   )
					if word == "\n  " + BPE_TOKEN_MERGES:
									SCREAMING_SNAKE_CASE	:    Dict          =			'''\n''' + BPE_TOKEN_MERGES

					if word.endswith(lowerCamelCase_   ):
									SCREAMING_SNAKE_CASE	:    Tuple          =			word.replace(lowerCamelCase_,       ''''''   )

					SCREAMING_SNAKE_CASE	:    Optional[Any]          =			word.replace(''' ''',       lowerCamelCase_   )
					SCREAMING_SNAKE_CASE	:    str          =			word
					return word


	def 					lowercase__	(self			:			List[str],       __UpperCAmelCase			:			List[str]   )  ->      str:

					"""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:
									SCREAMING_SNAKE_CASE	:    str          =			text.lower()

					SCREAMING_SNAKE_CASE	:    Tuple          =			text.split()

					SCREAMING_SNAKE_CASE	:    Tuple          =			[]
					for token in text:
									if token:
													split_tokens.extend(list(self.bpe(lowerCamelCase_   ).split(''' '''   )   )   )

					return split_tokens


	def 					lowercase__	(self			:			Dict,       __UpperCAmelCase			:			Dict   )  ->      int:

					"""simple docstring"""

					return self.encoder.get(lowerCamelCase_,       self.encoder.get(self.unk_token   )   )


	def 					lowercase__	(self			:			Any,       __UpperCAmelCase			:			Tuple   )  ->      str:

					"""simple docstring"""

					SCREAMING_SNAKE_CASE	:    Dict          =			self.decoder.get(lowerCamelCase_,       self.unk_token   )
					return result


	def 					lowercase__	(self			:			int,       __UpperCAmelCase			:			Tuple   )  ->      str:

					"""simple docstring"""

					SCREAMING_SNAKE_CASE	:    str          =			''' '''.join(lowerCamelCase_   )

					# make sure @@ tokens are concatenated
					SCREAMING_SNAKE_CASE	:    Optional[Any]          =			''''''.join(string.split(lowerCamelCase_   )   )

					return string






	def 					lowercase__	(self			:			str,       __UpperCAmelCase			:			Tuple,       __UpperCAmelCase			:			Tuple = None   )  ->      Tuple[str]:

					"""simple docstring"""

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

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

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

					with open(lowerCamelCase_,       '''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!'''   )
																	SCREAMING_SNAKE_CASE	:    Optional[Any]          =			token_index
													writer.write(''' '''.join(lowerCamelCase_   ) + '''\n'''   )
													index += 1

					return (vocab_file, merges_file)








'''simple docstring'''






from collections.abc import Callable

import numpy as np


def    _snake_case  (	A					,       A					,       A					,       A					,       A			)		->       np.array:
							lowerCAmelCase__			  =      int(np.ceil((x_end - xa) / step_size			)			)
							lowerCAmelCase__			  =      np.zeros((n + 1,)			)
							lowerCAmelCase__			  =      ya
							lowerCAmelCase__			  =      xa

							for k in range(A			):
														lowerCAmelCase__			  =      y[k] + step_size * ode_func(A					,       y[k]			)
														lowerCAmelCase__			  =      y[k] + (
														    (step_size / 2) * (ode_func(A					,       y[k]			) + ode_func(x + step_size					,       A			))
														)
														x += step_size

							return y


if __name__ == "__main__":
		import doctest

		doctest.testmod()