






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


UpperCAmelCase__      			=						logging.get_logger(__name__)

UpperCAmelCase__      			=						'''▁'''

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

UpperCAmelCase__      			=						{
    '''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'''
        )
    },
}

UpperCAmelCase__      			=						{
    '''facebook/s2t-small-librispeech-asr''': 1024,
}

UpperCAmelCase__      			=						['''pt''', '''fr''', '''ru''', '''nl''', '''ro''', '''it''', '''es''', '''de''']

UpperCAmelCase__      			=						{'''mustc''': MUSTC_LANGS}




class 							snake_case_       (    lowerCamelCase__      ):

						"""simple docstring"""



						snake_case__        =      VOCAB_FILES_NAMES
						snake_case__        =      PRETRAINED_VOCAB_FILES_MAP
						snake_case__        =      MAX_MODEL_INPUT_SIZES
						snake_case__        =      ["""input_ids""", """attention_mask"""]

						snake_case__        =      []



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




											'''simple docstring'''



											__a					:						str      =					{} if sp_model_kwargs is None else sp_model_kwargs

											super().__init__(
											    bos_token=a__ ,					eos_token=a__ ,					unk_token=a__ ,					pad_token=a__ ,					do_upper_case=a__ ,					do_lower_case=a__ ,					tgt_lang=a__ ,					lang_codes=a__ ,					sp_model_kwargs=self.sp_model_kwargs ,					**a__ ,					)
											__a					:						Optional[int]      =					do_upper_case
											__a					:						Optional[Any]      =					do_lower_case

											__a					:						Tuple      =					load_json(a__   )
											__a					:						Union[str, Any]      =					{v: k for k, v in self.encoder.items()}
											__a					:						Tuple      =					spm_file
											__a					:						Any      =					load_spm(a__ ,					self.sp_model_kwargs   )

											if lang_codes is not None:
																__a					:						List[Any]      =					lang_codes
																__a					:						List[str]      =					LANGUAGES[lang_codes]
																__a					:						Any      =					[f'<lang:{lang}>' for lang in self.langs]
																__a					:						Optional[Any]      =					{lang: self.sp_model.PieceToId(f'<lang:{lang}>'   ) for lang in self.langs}

																__a					:						List[str]      =					self.lang_tokens
																__a					:						str      =					tgt_lang if tgt_lang is not None else self.langs[0]

																self.set_tgt_lang_special_tokens(self._tgt_lang   )
											else:
																__a					:						Any      =					{}



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




											'''simple docstring'''



											return len(self.encoder   )



						@property
						def        UpperCAmelCase__					(self:					Union[str, Any]   )    ->     Optional[Any]:




											'''simple docstring'''



											return self._tgt_lang



						@tgt_lang.setter
						def        UpperCAmelCase__					(self:					List[Any] ,					__UpperCAmelCase:					Optional[int]   )    ->     List[Any]:




											'''simple docstring'''



											__a					:						Any      =					new_tgt_lang
											self.set_tgt_lang_special_tokens(a__   )



						def        UpperCAmelCase__					(self:					List[Any] ,					__UpperCAmelCase:					Optional[Any]   )    ->     str:




											'''simple docstring'''



											__a					:						Optional[Any]      =					self.lang_code_to_id[tgt_lang]
											__a					:						Any      =					[lang_code_id]



						def        UpperCAmelCase__					(self:					Any ,					__UpperCAmelCase:					Any   )    ->     Any:




											'''simple docstring'''



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



						def        UpperCAmelCase__					(self:					Optional[int] ,					__UpperCAmelCase:					Dict   )    ->     List[Any]:




											'''simple docstring'''



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



						def        UpperCAmelCase__					(self:					Dict ,					__UpperCAmelCase:					Any   )    ->     str:




											'''simple docstring'''



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



						def        UpperCAmelCase__					(self:					Tuple ,					__UpperCAmelCase:					Optional[int]   )    ->     Optional[int]:




											'''simple docstring'''



											__a					:						Union[str, Any]      =					[]
											__a					:						List[str]      =					''''''
											for token in tokens:
																# make sure that special tokens are not decoded using sentencepiece model
																if token in self.all_special_tokens:
																					__a					:						List[Any]      =					self.sp_model.decode(a__   )
																					out_string += (decoded.upper() if self.do_upper_case else decoded) + token + " "
																					__a					:						Optional[int]      =					[]
																else:
																					current_sub_tokens.append(a__   )
											__a					:						Tuple      =					self.sp_model.decode(a__   )
											out_string += decoded.upper() if self.do_upper_case else decoded
											return out_string.strip()



						def        UpperCAmelCase__					(self:					str ,					__UpperCAmelCase:					Union[str, Any] ,					__UpperCAmelCase:					Optional[Any]=None   )    ->     Optional[Any]:




											'''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        UpperCAmelCase__					(self:					Dict ,					__UpperCAmelCase:					Dict ,					__UpperCAmelCase:					Union[str, Any] = None ,					__UpperCAmelCase:					str = False   )    ->     Any:




											'''simple docstring'''



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

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



						def        UpperCAmelCase__					(self:					Union[str, Any]   )    ->     str:




											'''simple docstring'''



											__a					:						Union[str, Any]      =					self.encoder.copy()
											vocab.update(self.added_tokens_encoder   )
											return vocab



						def __getstate__(self:					Optional[int]   )    ->     Optional[Any]:




											'''simple docstring'''



											__a					:						Union[str, Any]      =					self.__dict__.copy()
											__a					:						str      =					None
											return state



						def __setstate__(self:					Dict ,					__UpperCAmelCase:					int   )    ->     Optional[Any]:




											'''simple docstring'''



											__a					:						Optional[int]      =					d

											# for backward compatibility
											if not hasattr(self ,					"sp_model_kwargs"   ):
																__a					:						List[Any]      =					{}

											__a					:						Dict      =					load_spm(self.spm_file ,					self.sp_model_kwargs   )



						def        UpperCAmelCase__					(self:					Optional[int] ,					__UpperCAmelCase:					Dict ,					__UpperCAmelCase:					Any = None   )    ->     int:




											'''simple docstring'''



											__a					:						str      =					Path(a__   )
											assert save_dir.is_dir(), f'{save_directory} should be a directory'
											__a					:						Any      =					save_dir / (
											    (filename_prefix + '''-''' if filename_prefix else '''''') + self.vocab_files_names['''vocab_file''']
											)
											__a					:						Optional[Any]      =					save_dir / (
											    (filename_prefix + '''-''' if filename_prefix else '''''') + self.vocab_files_names['''spm_file''']
											)

											save_json(self.encoder ,					a__   )

											if os.path.abspath(self.spm_file   ) != os.path.abspath(a__   ) and os.path.isfile(self.spm_file   ):
																copyfile(self.spm_file ,					a__   )
											elif not os.path.isfile(self.spm_file   ):
																with open(a__ ,					"wb"   ) as fi:
																					__a					:						List[str]      =					self.sp_model.serialized_model_proto()
																					fi.write(a__   )

											return (str(a__   ), str(a__   ))







def     a_   (__A				,       __A      )				->						Any:



					"""simple docstring"""
					__a					:						Optional[Any]      =					sentencepiece.SentencePieceProcessor(**lowercase_      )
					spm.Load(str(lowercase_      )      )
					return spm







def     a_   (__A      )				->						Union[str, Any]:



					"""simple docstring"""
					with open(lowercase_				,       "r"      ) as f:
										return json.load(lowercase_      )







def     a_   (__A				,       __A      )				->						Optional[Any]:



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












import mpmath  # for roots of unity
import numpy as np







class       __A							:




      """simple docstring"""







      def __init__(		self   ,				a__=None   ,				a__=None):



             """simple docstring"""





             _lowerCamelCase				:  List[str]						=		list(poly_a or [0])[:]
             _lowerCamelCase				:  Union[str, Any]						=		list(poly_b or [0])[:]

             # Remove leading zero coefficients
             while self.polyA[-1] == 0:
                    self.polyA.pop()
             _lowerCamelCase				:  Optional[int]						=		len(self.polyA)

             while self.polyB[-1] == 0:
                    self.polyB.pop()
             _lowerCamelCase				:  Any						=		len(self.polyB)

             # Add 0 to make lengths equal a power of 2
             _lowerCamelCase				:  Dict						=		int(
                 2 ** np.ceil(np.loga(len(self.polyA) + len(self.polyB) - 1)))

             while len(self.polyA) < self.c_max_length:
                    self.polyA.append(0)
             while len(self.polyB) < self.c_max_length:
                    self.polyB.append(0)
             # A complex root used for the fourier transform
             _lowerCamelCase				:  int						=		complex(mpmath.root(x=1   ,				n=self.c_max_length   ,				k=1))

             # The product
             _lowerCamelCase				:  Optional[int]						=		self.__multiply()


      def 					__snake_case      (		self   ,				a__):



             """simple docstring"""





             _lowerCamelCase				:  List[Any]						=		[[x] for x in self.polyA] if which == '''A''' else [[x] for x in self.polyB]
             # Corner case
             if len(a__) <= 1:
                    return dft[0]
             #
             _lowerCamelCase				:  Optional[Any]						=		self.c_max_length // 2
             while next_ncol > 0:
                    _lowerCamelCase				:  Optional[Any]						=		[[] for i in range(a__)]
                    _lowerCamelCase				:  List[str]						=		self.root**next_ncol

                    # First half of next step
                    _lowerCamelCase				:  Tuple						=		1
                    for j in range(self.c_max_length // (next_ncol * 2)):
                           for i in range(a__):
                                  new_dft[i].append(dft[i][j] + current_root * dft[i + next_ncol][j])
                           current_root *= root
                    # Second half of next step
                    _lowerCamelCase				:  Tuple						=		1
                    for j in range(self.c_max_length // (next_ncol * 2)):
                           for i in range(a__):
                                  new_dft[i].append(dft[i][j] - current_root * dft[i + next_ncol][j])
                           current_root *= root
                    # Update
                    _lowerCamelCase				:  Tuple						=		new_dft
                    _lowerCamelCase				:  Union[str, Any]						=		next_ncol // 2
             return dft[0]


      def 					__snake_case      (		self):



             """simple docstring"""





             _lowerCamelCase				:  Optional[int]						=		self.__dft('''A''')
             _lowerCamelCase				:  Optional[Any]						=		self.__dft('''B''')
             _lowerCamelCase				:  List[str]						=		[[dft_a[i] * dft_b[i] for i in range(self.c_max_length)]]
             del dft_a
             del dft_b

             # Corner Case
             if len(inverce_c[0]) <= 1:
                    return inverce_c[0]
             # Inverse DFT
             _lowerCamelCase				:  str						=		2
             while next_ncol <= self.c_max_length:
                    _lowerCamelCase				:  Optional[int]						=		[[] for i in range(a__)]
                    _lowerCamelCase				:  Dict						=		self.root ** (next_ncol // 2)
                    _lowerCamelCase				:  List[str]						=		1
                    # First half of next step
                    for j in range(self.c_max_length // next_ncol):
                           for i in range(next_ncol // 2):
                                  # Even positions
                                  new_inverse_c[i].append(
                                      (
                                          inverce_c[i][j]
                                          + inverce_c[i][j + self.c_max_length // next_ncol]
                                      )
                                      / 2)
                                  # Odd positions
                                  new_inverse_c[i + next_ncol // 2].append(
                                      (
                                          inverce_c[i][j]
                                          - inverce_c[i][j + self.c_max_length // next_ncol]
                                      )
                                      / (2 * current_root))
                           current_root *= root
                    # Update
                    _lowerCamelCase				:  Any						=		new_inverse_c
                    next_ncol *= 2
             # Unpack
             _lowerCamelCase				:  Optional[int]						=		[round(x[0].real   ,				8) + round(x[0].imag   ,				8) * 1j for x in inverce_c]

             # Remove leading 0's
             while inverce_c[-1] == 0:
                    inverce_c.pop()
             return inverce_c



      def __str__(		self):



             """simple docstring"""





             _lowerCamelCase				:  Union[str, Any]						=		'''A = ''' + ''' + '''.join(
                 F"""{coef}*x^{i}""" for coef, i in enumerate(self.polyA[: self.len_A]))
             _lowerCamelCase				:  List[str]						=		'''B = ''' + ''' + '''.join(
                 F"""{coef}*x^{i}""" for coef, i in enumerate(self.polyB[: self.len_B]))
             _lowerCamelCase				:  Tuple						=		'''A*B = ''' + ''' + '''.join(
                 F"""{coef}*x^{i}""" for coef, i in enumerate(self.product))

             return F"""{a}\n{b}\n{c}"""


# Unit tests
if __name__ == "__main__":
       import doctest

       doctest.testmod()

