
"""simple docstring"""



import json
import os
from pathlib import Path
from shutil import copyfile
from typing import Any, Dict, List, Optional, Tuple, Union

import sentencepiece

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


a					:	Optional[Any]							=		logging.get_logger(__name__)

a					:	Optional[int]							=		'''▁'''

a					:	Dict							=		{
    '''vocab_file''': '''vocab.json''',
    '''spm_file''': '''sentencepiece.bpe.model''',
}

a					:	Tuple							=		{
    '''vocab_file''': {
        '''facebook/s2t-small-librispeech-asr''': (
            '''https://huggingface.co/facebook/s2t-small-librispeech-asr/resolve/main/vocab.json'''
        ),
    },
    '''spm_file''': {
        '''facebook/s2t-small-librispeech-asr''': (
            '''https://huggingface.co/facebook/s2t-small-librispeech-asr/resolve/main/sentencepiece.bpe.model'''
        )
    },
}

a					:	Dict							=		{
    '''facebook/s2t-small-librispeech-asr''': 1_0_2_4,
}

a					:	Optional[int]							=		['''pt''', '''fr''', '''ru''', '''nl''', '''ro''', '''it''', '''es''', '''de''']

a					:	List[Any]							=		{'''mustc''': MUSTC_LANGS}




class 		a_						( _UpperCAmelCase	):
    a      :				Optional[int]     =				VOCAB_FILES_NAMES
    a      :				Tuple     =				PRETRAINED_VOCAB_FILES_MAP
    a      :				Optional[int]     =				MAX_MODEL_INPUT_SIZES
    a      :				Tuple     =				['input_ids', 'attention_mask']

    a      :				List[int]     =				[]







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






        '''simple docstring'''






        _UpperCAmelCase          =   {} if sp_model_kwargs is None else sp_model_kwargs

        super().__init__(
            bos_token=__UpperCamelCase     ,					eos_token=__UpperCamelCase     ,					unk_token=__UpperCamelCase     ,					pad_token=__UpperCamelCase     ,					do_upper_case=__UpperCamelCase     ,					do_lower_case=__UpperCamelCase     ,					tgt_lang=__UpperCamelCase     ,					lang_codes=__UpperCamelCase     ,					sp_model_kwargs=self.sp_model_kwargs     ,					**__UpperCamelCase     ,					)
        _UpperCAmelCase          =   do_upper_case
        _UpperCAmelCase          =   do_lower_case

        _UpperCAmelCase          =   load_json(__UpperCamelCase     )
        _UpperCAmelCase          =   {v: k for k, v in self.encoder.items()}
        _UpperCAmelCase          =   spm_file
        _UpperCAmelCase          =   load_spm(__UpperCamelCase     ,					self.sp_model_kwargs     )

        if lang_codes is not None:
            _UpperCAmelCase          =   lang_codes
            _UpperCAmelCase          =   LANGUAGES[lang_codes]
            _UpperCAmelCase          =   [f"""<lang:{lang}>""" for lang in self.langs]
            _UpperCAmelCase          =   {lang: self.sp_model.PieceToId(f"""<lang:{lang}>"""     ) for lang in self.langs}

            _UpperCAmelCase          =   self.lang_tokens
            _UpperCAmelCase          =   tgt_lang if tgt_lang is not None else self.langs[0]

            self.set_tgt_lang_special_tokens(self._tgt_lang     )
        else:
            _UpperCAmelCase          =   {}







    @property
    def      _snake_case					(			self			:       int     )		->int:






        '''simple docstring'''






        return len(self.encoder     )







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






        '''simple docstring'''






        return self._tgt_lang







    @tgt_lang.setter
    def      _snake_case					(			self			:       int     ,					__UpperCamelCase			:       Any     )		->None:






        '''simple docstring'''






        _UpperCAmelCase          =   new_tgt_lang
        self.set_tgt_lang_special_tokens(__UpperCamelCase     )







    def      _snake_case					(			self			:       Optional[Any]     ,					__UpperCamelCase			:       str     )		->None:






        '''simple docstring'''






        _UpperCAmelCase          =   self.lang_code_to_id[tgt_lang]
        _UpperCAmelCase          =   [lang_code_id]







    def      _snake_case					(			self			:       List[Any]     ,					__UpperCamelCase			:       str     )		->List[str]:






        '''simple docstring'''






        return self.sp_model.encode(__UpperCamelCase     ,					out_type=__UpperCamelCase     )







    def      _snake_case					(			self			:       str     ,					__UpperCamelCase			:       List[str]     )		->Optional[int]:






        '''simple docstring'''






        return self.encoder.get(__UpperCamelCase     ,					self.encoder[self.unk_token]     )







    def      _snake_case					(			self			:       Optional[int]     ,					__UpperCamelCase			:       int     )		->str:






        '''simple docstring'''






        return self.decoder.get(__UpperCamelCase     ,					self.unk_token     )







    def      _snake_case					(			self			:       Union[str, Any]     ,					__UpperCamelCase			:       List[str]     )		->str:






        '''simple docstring'''






        _UpperCAmelCase          =   []
        _UpperCAmelCase          =   """"""
        for token in tokens:
            # make sure that special tokens are not decoded using sentencepiece model
            if token in self.all_special_tokens:
                _UpperCAmelCase          =   self.sp_model.decode(__UpperCamelCase     )
                out_string += (decoded.upper() if self.do_upper_case else decoded) + token + " "
                _UpperCAmelCase          =   []
            else:
                current_sub_tokens.append(__UpperCamelCase     )
        _UpperCAmelCase          =   self.sp_model.decode(__UpperCamelCase     )
        out_string += decoded.upper() if self.do_upper_case else decoded
        return out_string.strip()







    def      _snake_case					(			self			:       Optional[int]     ,					__UpperCamelCase			:       Optional[int]     ,					__UpperCamelCase			:       Optional[Any]=None     )		->List[int]:






        '''simple docstring'''






        if token_ids_a is None:
            return self.prefix_tokens + token_ids_a + [self.eos_token_id]
        # We don't expect to process pairs, but leave the pair logic for API consistency
        return self.prefix_tokens + token_ids_a + token_ids_a + [self.eos_token_id]







    def      _snake_case					(			self			:       Dict     ,					__UpperCamelCase			:       List[int]     ,					__UpperCamelCase			:       Optional[List[int]] = None     ,					__UpperCamelCase			:       bool = False     )		->List[int]:






        '''simple docstring'''






        if already_has_special_tokens:
            return super().get_special_tokens_mask(
                token_ids_a=__UpperCamelCase     ,					token_ids_a=__UpperCamelCase     ,					already_has_special_tokens=__UpperCamelCase     )

        _UpperCAmelCase          =   [1] * len(self.prefix_tokens     )
        _UpperCAmelCase          =   [1]
        if token_ids_a is None:
            return prefix_ones + ([0] * len(__UpperCamelCase     )) + suffix_ones
        return prefix_ones + ([0] * len(__UpperCamelCase     )) + ([0] * len(__UpperCamelCase     )) + suffix_ones







    def      _snake_case					(			self			:       int     )		->Dict:






        '''simple docstring'''






        _UpperCAmelCase          =   self.encoder.copy()
        vocab.update(self.added_tokens_encoder     )
        return vocab







    def __getstate__(			self			:       Any     )		->Dict:






        '''simple docstring'''






        _UpperCAmelCase          =   self.__dict__.copy()
        _UpperCAmelCase          =   None
        return state







    def __setstate__(			self			:       Union[str, Any]     ,					__UpperCamelCase			:       Dict     )		->None:






        '''simple docstring'''






        _UpperCAmelCase          =   d

        # for backward compatibility
        if not hasattr(self     ,					"""sp_model_kwargs"""     ):
            _UpperCAmelCase          =   {}

        _UpperCAmelCase          =   load_spm(self.spm_file     ,					self.sp_model_kwargs     )







    def      _snake_case					(			self			:       List[str]     ,					__UpperCamelCase			:       str     ,					__UpperCamelCase			:       Optional[str] = None     )		->Tuple[str]:






        '''simple docstring'''






        _UpperCAmelCase          =   Path(__UpperCamelCase     )
        assert save_dir.is_dir(), f"""{save_directory} should be a directory"""
        _UpperCAmelCase          =   save_dir / (
            (filename_prefix + """-""" if filename_prefix else """""") + self.vocab_files_names["""vocab_file"""]
        )
        _UpperCAmelCase          =   save_dir / (
            (filename_prefix + """-""" if filename_prefix else """""") + self.vocab_files_names["""spm_file"""]
        )

        save_json(self.encoder     ,					__UpperCamelCase     )

        if os.path.abspath(self.spm_file     ) != os.path.abspath(__UpperCamelCase     ) and os.path.isfile(self.spm_file     ):
            copyfile(self.spm_file     ,					__UpperCamelCase     )
        elif not os.path.isfile(self.spm_file     ):
            with open(__UpperCamelCase     ,					"""wb"""     ) as fi:
                _UpperCAmelCase          =   self.sp_model.serialized_model_proto()
                fi.write(__UpperCamelCase     )

        return (str(__UpperCamelCase     ), str(__UpperCamelCase     ))







def  _UpperCamelCase	(						_A					,      _A      )    ->  sentencepiece.SentencePieceProcessor:





    """simple docstring"""

    _UpperCAmelCase          =   sentencepiece.SentencePieceProcessor(**_A      )
    spm.Load(str(_A      )      )
    return spm


def  _UpperCamelCase	(						_A      )    ->  Union[Dict, List]:





    """simple docstring"""

    with open(_A					,      """r"""      ) as f:
        return json.load(_A      )







def  _UpperCamelCase	(						_A					,      _A      )    ->  None:





    """simple docstring"""

    with open(_A					,      """w"""      ) as f:
        json.dump(_A					,      _A					,      indent=2      )

"""simple docstring"""



from collections.abc import Callable

import numpy as np


def  _UpperCamelCase	(						_A					,      _A					,      _A					,      _A					,      _A      )    ->  np.array:





    """simple docstring"""

    _UpperCAmelCase          =   int(np.ceil((x_end - xa) / step_size      )      )
    _UpperCAmelCase          =   np.zeros((n + 1,)      )
    _UpperCAmelCase          =   ya
    _UpperCAmelCase          =   xa

    for k in range(_A      ):
        _UpperCAmelCase          =   y[k] + step_size * ode_func(_A					,      y[k]      )
        _UpperCAmelCase          =   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()