
'''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


_lowercase			:  Any   							=	logging.get_logger(__name__)

_lowercase			:  Optional[Any]   							=	"▁"

_lowercase			:  Optional[Any]   							=	{
    "vocab_file": "vocab.json",
    "spm_file": "sentencepiece.bpe.model",
}

_lowercase			:  int   							=	{
    "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"
        )
    },
}

_lowercase			:  str   							=	{
    "facebook/s2t-small-librispeech-asr": 1_0_2_4,
}

_lowercase			:  Dict   							=	["pt", "fr", "ru", "nl", "ro", "it", "es", "de"]

_lowercase			:  Optional[int]   							=	{"mustc": MUSTC_LANGS}






class 			lowerCAmelCase__       (  lowerCamelCase_					):
					lowerCAmelCase_					       =					VOCAB_FILES_NAMES
					lowerCAmelCase_					       =					PRETRAINED_VOCAB_FILES_MAP
					lowerCAmelCase_					       =					MAX_MODEL_INPUT_SIZES
					lowerCAmelCase_					       =					['''input_ids''', '''attention_mask''']

					lowerCAmelCase_					       =					[]






					def __init__(       self    ,							__SCREAMING_SNAKE_CASE    ,							__SCREAMING_SNAKE_CASE    ,							__SCREAMING_SNAKE_CASE="<s>"    ,							__SCREAMING_SNAKE_CASE="</s>"    ,							__SCREAMING_SNAKE_CASE="<pad>"    ,							__SCREAMING_SNAKE_CASE="<unk>"    ,							__SCREAMING_SNAKE_CASE=False    ,							__SCREAMING_SNAKE_CASE=False    ,							__SCREAMING_SNAKE_CASE=None    ,							__SCREAMING_SNAKE_CASE=None    ,							__SCREAMING_SNAKE_CASE = None    ,							**__SCREAMING_SNAKE_CASE    ,							):


											"""simple docstring"""





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

											super().__init__(
											    bos_token=__SCREAMING_SNAKE_CASE    ,							eos_token=__SCREAMING_SNAKE_CASE    ,							unk_token=__SCREAMING_SNAKE_CASE    ,							pad_token=__SCREAMING_SNAKE_CASE    ,							do_upper_case=__SCREAMING_SNAKE_CASE    ,							do_lower_case=__SCREAMING_SNAKE_CASE    ,							tgt_lang=__SCREAMING_SNAKE_CASE    ,							lang_codes=__SCREAMING_SNAKE_CASE    ,							sp_model_kwargs=self.sp_model_kwargs    ,							**__SCREAMING_SNAKE_CASE    ,							)
											lowercase_     :					Any													=	do_upper_case
											lowercase_     :					Dict													=	do_lower_case

											lowercase_     :					Optional[int]													=	load_json(__SCREAMING_SNAKE_CASE		)
											lowercase_     :					Union[str, Any]													=	{v: k for k, v in self.encoder.items()}
											lowercase_     :					List[str]													=	spm_file
											lowercase_     :					Dict													=	load_spm(__SCREAMING_SNAKE_CASE    ,							self.sp_model_kwargs		)

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

																	lowercase_     :					Any													=	self.lang_tokens
																	lowercase_     :					Any													=	tgt_lang if tgt_lang is not None else self.langs[0]

																	self.set_tgt_lang_special_tokens(self._tgt_lang		)
											else:
																	lowercase_     :					Optional[Any]													=	{}






					@property
					def      _snake_case   (       self		):


											"""simple docstring"""





											return len(self.encoder		)






					@property
					def      _snake_case   (       self		):


											"""simple docstring"""





											return self._tgt_lang






					@tgt_lang.setter
					def      _snake_case   (       self    ,							__SCREAMING_SNAKE_CASE		):


											"""simple docstring"""





											lowercase_     :					Optional[int]													=	new_tgt_lang
											self.set_tgt_lang_special_tokens(__SCREAMING_SNAKE_CASE		)






					def      _snake_case   (       self    ,							__SCREAMING_SNAKE_CASE		):


											"""simple docstring"""





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






					def      _snake_case   (       self    ,							__SCREAMING_SNAKE_CASE		):


											"""simple docstring"""





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






					def      _snake_case   (       self    ,							__SCREAMING_SNAKE_CASE		):


											"""simple docstring"""





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






					def      _snake_case   (       self    ,							__SCREAMING_SNAKE_CASE		):


											"""simple docstring"""





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






					def      _snake_case   (       self    ,							__SCREAMING_SNAKE_CASE		):


											"""simple docstring"""





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






					def      _snake_case   (       self    ,							__SCREAMING_SNAKE_CASE    ,							__SCREAMING_SNAKE_CASE=None		):


											"""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    ,							__SCREAMING_SNAKE_CASE    ,							__SCREAMING_SNAKE_CASE = None    ,							__SCREAMING_SNAKE_CASE = False		):


											"""simple docstring"""





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

											lowercase_     :					List[str]													=	[1] * len(self.prefix_tokens		)
											lowercase_     :					Dict													=	[1]
											if token_ids_a is None:
																	return prefix_ones + ([0] * len(__SCREAMING_SNAKE_CASE		)) + suffix_ones
											return prefix_ones + ([0] * len(__SCREAMING_SNAKE_CASE		)) + ([0] * len(__SCREAMING_SNAKE_CASE		)) + suffix_ones






					def      _snake_case   (       self		):


											"""simple docstring"""





											lowercase_     :					Optional[int]													=	self.encoder.copy()
											vocab.update(self.added_tokens_encoder		)
											return vocab






					def __getstate__(       self		):


											"""simple docstring"""





											lowercase_     :					Optional[int]													=	self.__dict__.copy()
											lowercase_     :					Optional[int]													=	None
											return state






					def __setstate__(       self    ,							__SCREAMING_SNAKE_CASE		):


											"""simple docstring"""





											lowercase_     :					Union[str, Any]													=	d

											# for backward compatibility
											if not hasattr(self    ,							'''sp_model_kwargs'''		):
																	lowercase_     :					List[str]													=	{}

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






					def      _snake_case   (       self    ,							__SCREAMING_SNAKE_CASE    ,							__SCREAMING_SNAKE_CASE = None		):


											"""simple docstring"""





											lowercase_     :					Dict													=	Path(__SCREAMING_SNAKE_CASE		)
											assert save_dir.is_dir(), F'''{save_directory} should be a directory'''
											lowercase_     :					Union[str, Any]													=	save_dir / (
											    (filename_prefix + '''-''' if filename_prefix else '''''') + self.vocab_files_names['''vocab_file''']
											)
											lowercase_     :					Optional[int]													=	save_dir / (
											    (filename_prefix + '''-''' if filename_prefix else '''''') + self.vocab_files_names['''spm_file''']
											)

											save_json(self.encoder    ,							__SCREAMING_SNAKE_CASE		)

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

											return (str(__SCREAMING_SNAKE_CASE		), str(__SCREAMING_SNAKE_CASE		))







def  snake_case_		(    __SCREAMING_SNAKE_CASE :			str				,				__SCREAMING_SNAKE_CASE :			Dict[str, Any]							):



						"""simple docstring"""





						lowercase_     :					Dict													=	sentencepiece.SentencePieceProcessor(**__SCREAMING_SNAKE_CASE							)
						spm.Load(str(__SCREAMING_SNAKE_CASE							)							)
						return spm
def  snake_case_		(    __SCREAMING_SNAKE_CASE :			str							):



						"""simple docstring"""





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




def  snake_case_		(    __SCREAMING_SNAKE_CASE :			Any				,				__SCREAMING_SNAKE_CASE :			str							):



						"""simple docstring"""





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





'''simple docstring'''







from maths.is_square_free import is_square_free
from maths.prime_factors import prime_factors
def  snake_case_		(    __SCREAMING_SNAKE_CASE :			int							):



						"""simple docstring"""





						lowercase_     :					Tuple													=	prime_factors(__SCREAMING_SNAKE_CASE							)
						if is_square_free(__SCREAMING_SNAKE_CASE							):
												return -1 if len(__SCREAMING_SNAKE_CASE							) % 2 else 1
						return 0


if __name__ == "__main__":
							import doctest

							doctest.testmod()



