

'''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


lowerCamelCase      				=     logging.get_logger(__name__)

lowerCamelCase      				=     '''▁'''

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

lowerCamelCase      				=     {
    '''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'''
        )
    },
}

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

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

lowerCamelCase      				=     {'''mustc''': MUSTC_LANGS}





class     snake_case_			(				_a							):


							"""simple docstring"""





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

							__UpperCAmelCase       =[]




							def __init__( self					,						_A					,						_A					,						_A="<s>"					,						_A="</s>"					,						_A="<pad>"					,						_A="<unk>"					,						_A=False					,						_A=False					,						_A=None					,						_A=None					,						_A = None					,						**_A					,						):
												__lowerCAmelCase					=							{} 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					,						)
												__lowerCAmelCase					=							do_upper_case
												__lowerCAmelCase					=							do_lower_case

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

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

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

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




							@property
							def        A__  ( self							):
												return len(self.encoder							)




							@property
							def        A__  ( self							):
												return self._tgt_lang




							@tgt_lang.setter
							def        A__  ( self					,						_A							):
												__lowerCAmelCase					=							new_tgt_lang
												self.set_tgt_lang_special_tokens(_A							)




							def        A__  ( self					,						_A							):
												__lowerCAmelCase					=							self.lang_code_to_id[tgt_lang]
												__lowerCAmelCase					=							[lang_code_id]




							def        A__  ( self					,						_A							):
												return self.sp_model.encode(_A					,						out_type=_A							)




							def        A__  ( self					,						_A							):
												return self.encoder.get(_A					,						self.encoder[self.unk_token]							)




							def        A__  ( self					,						_A							):
												return self.decoder.get(_A					,						self.unk_token							)




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




							def        A__  ( self					,						_A					,						_A=None							):
												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        A__  ( self					,						_A					,						_A = None					,						_A = False							):

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

												__lowerCAmelCase					=							[1] * len(self.prefix_tokens							)
												__lowerCAmelCase					=							[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        A__  ( self							):
												__lowerCAmelCase					=							self.encoder.copy()
												vocab.update(self.added_tokens_encoder							)
												return vocab




							def __getstate__( self							):
												__lowerCAmelCase					=							self.__dict__.copy()
												__lowerCAmelCase					=							None
												return state




							def __setstate__( self					,						_A							):
												__lowerCAmelCase					=							d

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

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




							def        A__  ( self					,						_A					,						_A = None							):
												__lowerCAmelCase					=							Path(_A							)
												assert save_dir.is_dir(), F"""{save_directory} should be a directory"""
												__lowerCAmelCase					=							save_dir / (
												    (filename_prefix + '-' if filename_prefix else '') + self.vocab_files_names['vocab_file']
												)
												__lowerCAmelCase					=							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:
																						__lowerCAmelCase					=							self.sp_model.serialized_model_proto()
																						fi.write(_A							)

												return (str(_A							), str(_A							))


def        __lowercase    (  UpperCAmelCase__		,					UpperCAmelCase__      ):

					"""simple docstring"""






					__lowerCAmelCase					=							sentencepiece.SentencePieceProcessor(**UpperCAmelCase__      )
					spm.Load(str(UpperCAmelCase__      )      )
					return spm


def        __lowercase    (  UpperCAmelCase__      ):

					"""simple docstring"""






					with open(UpperCAmelCase__		,					'r'      ) as f:
										return json.load(UpperCAmelCase__      )


def        __lowercase    (  UpperCAmelCase__		,					UpperCAmelCase__      ):

					"""simple docstring"""






					with open(UpperCAmelCase__		,					'w'      ) as f:
										json.dump(UpperCAmelCase__		,					UpperCAmelCase__		,					indent=2      )









def        __lowercase    (  UpperCAmelCase__		,					UpperCAmelCase__      ):

					"""simple docstring"""






					assert x is not None
					assert y is not None

					__lowerCAmelCase					=							len(UpperCAmelCase__      )
					__lowerCAmelCase					=							len(UpperCAmelCase__      )

					# declaring the array for storing the dp values
					__lowerCAmelCase					=							[[0] * (n + 1) for _ in range(m + 1      )]  # noqa: E741

					for i in range(1		,					m + 1      ):
										for j in range(1		,					n + 1      ):
															__lowerCAmelCase					=							1 if x[i - 1] == y[j - 1] else 0

															__lowerCAmelCase					=							max(l[i - 1][j]		,					l[i][j - 1]		,					l[i - 1][j - 1] + match      )

					__lowerCAmelCase					=							''
					__lowerCAmelCase,	__lowerCAmelCase					=							m, n
					while i > 0 and j > 0:
										__lowerCAmelCase					=							1 if x[i - 1] == y[j - 1] else 0

										if l[i][j] == l[i - 1][j - 1] + match:
															if match == 1:
																				__lowerCAmelCase					=							x[i - 1] + seq
															i -= 1
															j -= 1
										elif l[i][j] == l[i - 1][j]:
															i -= 1
										else:
															j -= 1

					return l[m][n], seq


if __name__ == "__main__":
		lowerCamelCase      				=     '''AGGTAB'''
		lowerCamelCase      				=     '''GXTXAYB'''
		lowerCamelCase      				=     4
		lowerCamelCase      				=     '''GTAB'''

		lowerCamelCase				,				lowerCamelCase      				=     longest_common_subsequence(a, b)
		print('''len =''', ln, ''', sub-sequence =''', subseq)
		import doctest

		doctest.testmod()






