



"""simple docstring"""


import os
import re
import unicodedata
from shutil import copyfile
from typing import Any, Dict, List, Optional, Tuple

import sentencepiece as spm

from ...tokenization_utils import AddedToken, PreTrainedTokenizer
from ...utils import logging


snake_case_								=			logging.get_logger(__name__)
snake_case_								=			{'''vocab_file''': '''spiece.model'''}

snake_case_								=			{
    '''vocab_file''': {
        '''google/fnet-base''': '''https://huggingface.co/google/fnet-base/resolve/main/spiece.model''',
        '''google/fnet-large''': '''https://huggingface.co/google/fnet-large/resolve/main/spiece.model''',
    },
}

snake_case_								=			{
    '''google/fnet-base''': 512,
    '''google/fnet-large''': 512,
}

snake_case_								=			'''▁'''







class  A_     (	__UpperCAmelCase							):



						"""simple docstring"""
						__UpperCamelCase													=				VOCAB_FILES_NAMES
						__UpperCamelCase													=				PRETRAINED_VOCAB_FILES_MAP
						__UpperCamelCase													=				PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
						__UpperCamelCase													=				['''input_ids''', '''token_type_ids''']






						def __init__(   self					:Any  ,    lowercase_					:Union[str, Any]  ,    lowercase_					:List[Any]=False  ,    lowercase_					:Union[str, Any]=True  ,    lowercase_					:List[str]=True  ,    lowercase_					:Union[str, Any]="<unk>"  ,    lowercase_					:Any="[SEP]"  ,    lowercase_					:Union[str, Any]="<pad>"  ,    lowercase_					:Any="[CLS]"  ,    lowercase_					:List[Any]="[MASK]"  ,    lowercase_					:Optional[Dict[str, Any]] = None  ,    **lowercase_					:Optional[Any]  ,    )							->     Dict:
												UpperCAmelCase			 =					(
												    AddedToken(__SCREAMING_SNAKE_CASE  ,    lstrip=__SCREAMING_SNAKE_CASE  ,    rstrip=__SCREAMING_SNAKE_CASE  ,    normalized=__SCREAMING_SNAKE_CASE   )
												    if isinstance(__SCREAMING_SNAKE_CASE  ,    __SCREAMING_SNAKE_CASE   )
												    else mask_token
												)

												UpperCAmelCase			 =					{} if sp_model_kwargs is None else sp_model_kwargs

												super().__init__(
												    do_lower_case=__SCREAMING_SNAKE_CASE  ,    remove_space=__SCREAMING_SNAKE_CASE  ,    keep_accents=__SCREAMING_SNAKE_CASE  ,    unk_token=__SCREAMING_SNAKE_CASE  ,    sep_token=__SCREAMING_SNAKE_CASE  ,    pad_token=__SCREAMING_SNAKE_CASE  ,    cls_token=__SCREAMING_SNAKE_CASE  ,    mask_token=__SCREAMING_SNAKE_CASE  ,    sp_model_kwargs=self.sp_model_kwargs  ,    **__SCREAMING_SNAKE_CASE  ,    )

												UpperCAmelCase			 =					do_lower_case
												UpperCAmelCase			 =					remove_space
												UpperCAmelCase			 =					keep_accents
												UpperCAmelCase			 =					vocab_file

												UpperCAmelCase			 =					spm.SentencePieceProcessor(**self.sp_model_kwargs   )
												self.sp_model.Load(__SCREAMING_SNAKE_CASE   )






						@property
						def       UpperCAmelCase__	(   self					:Tuple   )							->     List[Any]:
												return len(self.sp_model   )






						def       UpperCAmelCase__	(   self					:Any   )							->     str:
												UpperCAmelCase			 =					{self.convert_ids_to_tokens(__SCREAMING_SNAKE_CASE   ): i for i in range(self.vocab_size   )}
												vocab.update(self.added_tokens_encoder   )
												return vocab






						def __getstate__(   self					:Optional[Any]   )							->     Any:
												UpperCAmelCase			 =					self.__dict__.copy()
												UpperCAmelCase			 =					None
												return state






						def __setstate__(   self					:int  ,    lowercase_					:List[str]   )							->     int:
												UpperCAmelCase			 =					d

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

												UpperCAmelCase			 =					spm.SentencePieceProcessor(**self.sp_model_kwargs   )
												self.sp_model.Load(self.vocab_file   )






						def       UpperCAmelCase__	(   self					:int  ,    lowercase_					:List[str]   )							->     Optional[int]:

												if self.remove_space:
																		UpperCAmelCase			 =					' '.join(inputs.strip().split()   )
												else:
																		UpperCAmelCase			 =					inputs
												UpperCAmelCase			 =					outputs.replace('``'  ,    '"'   ).replace('\'\''  ,    '"'   )

												if not self.keep_accents:
																		UpperCAmelCase			 =					unicodedata.normalize('NFKD'  ,    __SCREAMING_SNAKE_CASE   )
																		UpperCAmelCase			 =					''.join([c for c in outputs if not unicodedata.combining(__SCREAMING_SNAKE_CASE   )]   )
												if self.do_lower_case:
																		UpperCAmelCase			 =					outputs.lower()

												return outputs






						def       UpperCAmelCase__	(   self					:int  ,    lowercase_					:str   )							->     int:
												UpperCAmelCase			 =					self.preprocess_text(__SCREAMING_SNAKE_CASE   )
												UpperCAmelCase			 =					self.sp_model.encode(__SCREAMING_SNAKE_CASE  ,    out_type=__SCREAMING_SNAKE_CASE   )
												UpperCAmelCase			 =					[]
												for piece in pieces:
																		if len(__SCREAMING_SNAKE_CASE   ) > 1 and piece[-1] == str(','   ) and piece[-2].isdigit():
																								UpperCAmelCase			 =					self.sp_model.EncodeAsPieces(piece[:-1].replace(__SCREAMING_SNAKE_CASE  ,    ''   )   )
																								if piece[0] != SPIECE_UNDERLINE and cur_pieces[0][0] == SPIECE_UNDERLINE:
																														if len(cur_pieces[0]   ) == 1:
																																				UpperCAmelCase			 =					cur_pieces[1:]
																														else:
																																				UpperCAmelCase			 =					cur_pieces[0][1:]
																								cur_pieces.append(piece[-1]   )
																								new_pieces.extend(__SCREAMING_SNAKE_CASE   )
																		else:
																								new_pieces.append(__SCREAMING_SNAKE_CASE   )

												return new_pieces






						def       UpperCAmelCase__	(   self					:Optional[Any]  ,    lowercase_					:Optional[Any]   )							->     str:
												return self.sp_model.PieceToId(__SCREAMING_SNAKE_CASE   )






						def       UpperCAmelCase__	(   self					:List[str]  ,    lowercase_					:Optional[int]   )							->     Any:
												return self.sp_model.IdToPiece(__SCREAMING_SNAKE_CASE   )






						def       UpperCAmelCase__	(   self					:Any  ,    lowercase_					:int   )							->     Dict:
												UpperCAmelCase			 =					[]
												UpperCAmelCase			 =					''
												UpperCAmelCase			 =					False
												for token in tokens:
																		# make sure that special tokens are not decoded using sentencepiece model
																		if token in self.all_special_tokens:
																								if not prev_is_special:
																														out_string += " "
																								out_string += self.sp_model.decode(__SCREAMING_SNAKE_CASE   ) + token
																								UpperCAmelCase			 =					True
																								UpperCAmelCase			 =					[]
																		else:
																								current_sub_tokens.append(__SCREAMING_SNAKE_CASE   )
																								UpperCAmelCase			 =					False
												out_string += self.sp_model.decode(__SCREAMING_SNAKE_CASE   )
												return out_string.strip()






						def       UpperCAmelCase__	(   self					:Dict  ,    lowercase_					:List[int]  ,    lowercase_					:bool = False  ,    lowercase_					:bool = None  ,    lowercase_					:bool = True  ,    **lowercase_					:Tuple  ,    )							->     Tuple:
												UpperCAmelCase			 =					kwargs.pop('use_source_tokenizer'  ,    __SCREAMING_SNAKE_CASE   )

												UpperCAmelCase			 =					self.convert_ids_to_tokens(__SCREAMING_SNAKE_CASE  ,    skip_special_tokens=__SCREAMING_SNAKE_CASE   )

												# To avoid mixing byte-level and unicode for byte-level BPT
												# we need to build string separately for added tokens and byte-level tokens
												# cf. https://github.com/huggingface/transformers/issues/1133
												UpperCAmelCase			 =					[]
												UpperCAmelCase			 =					[]
												for token in filtered_tokens:
																		if skip_special_tokens and token in self.all_special_ids:
																								continue
																		if token in self.added_tokens_encoder:
																								if current_sub_text:
																														sub_texts.append(self.convert_tokens_to_string(__SCREAMING_SNAKE_CASE   )   )
																														UpperCAmelCase			 =					[]
																								sub_texts.append(__SCREAMING_SNAKE_CASE   )
																		else:
																								current_sub_text.append(__SCREAMING_SNAKE_CASE   )
												if current_sub_text:
																		sub_texts.append(self.convert_tokens_to_string(__SCREAMING_SNAKE_CASE   )   )

												# Mimic the behavior of the Rust tokenizer:
												# No space after <unk>
												if spaces_between_special_tokens:
																		UpperCAmelCase			 =					re.sub(R'(<unk>) '  ,    R'\1'  ,    ' '.join(__SCREAMING_SNAKE_CASE   )   )
												else:
																		UpperCAmelCase			 =					''.join(__SCREAMING_SNAKE_CASE   )

												UpperCAmelCase			 =					(
												    clean_up_tokenization_spaces
												    if clean_up_tokenization_spaces is not None
												    else self.clean_up_tokenization_spaces
												)
												if clean_up_tokenization_spaces:
																		UpperCAmelCase			 =					self.clean_up_tokenization(__SCREAMING_SNAKE_CASE   )
																		return clean_text
												else:
																		return text






						def       UpperCAmelCase__	(   self					:List[str]  ,    lowercase_					:List[int]  ,    lowercase_					:Optional[List[int]] = None   )							->     Optional[Any]:
												UpperCAmelCase			 =					[self.sep_token_id]
												UpperCAmelCase			 =					[self.cls_token_id]
												if token_ids_a is None:
																		return cls + token_ids_a + sep
												return cls + token_ids_a + sep + token_ids_a + sep






						def       UpperCAmelCase__	(   self					:List[Any]  ,    lowercase_					:List[int]  ,    lowercase_					:Optional[List[int]] = None  ,    lowercase_					:bool = False   )							->     Any:

												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   )

												if token_ids_a is not None:
																		return [1] + ([0] * len(__SCREAMING_SNAKE_CASE   )) + [1] + ([0] * len(__SCREAMING_SNAKE_CASE   )) + [1]
												return [1] + ([0] * len(__SCREAMING_SNAKE_CASE   )) + [1]






						def       UpperCAmelCase__	(   self					:Optional[int]  ,    lowercase_					:List[int]  ,    lowercase_					:Optional[List[int]] = None   )							->     int:
												UpperCAmelCase			 =					[self.sep_token_id]
												UpperCAmelCase			 =					[self.cls_token_id]

												if token_ids_a is None:
																		return len(cls + token_ids_a + sep   ) * [0]
												return len(cls + token_ids_a + sep   ) * [0] + len(token_ids_a + sep   ) * [1]






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

												if not os.path.isdir(__SCREAMING_SNAKE_CASE   ):
																		logger.error(f"""Vocabulary path ({save_directory}) should be a directory"""   )
																		return
												UpperCAmelCase			 =					os.path.join(
												    __SCREAMING_SNAKE_CASE  ,    (filename_prefix + '-' if filename_prefix else '') + VOCAB_FILES_NAMES['vocab_file']   )

												if os.path.abspath(self.vocab_file   ) != os.path.abspath(__SCREAMING_SNAKE_CASE   ) and os.path.isfile(self.vocab_file   ):
																		copyfile(self.vocab_file  ,    __SCREAMING_SNAKE_CASE   )
												elif not os.path.isfile(self.vocab_file   ):
																		with open(__SCREAMING_SNAKE_CASE  ,    'wb'   ) as fi:
																								UpperCAmelCase			 =					self.sp_model.serialized_model_proto()
																								fi.write(__SCREAMING_SNAKE_CASE   )

												return (out_vocab_file,)










def 	__snake_case      (     _UpperCAmelCase							):
    __a					=							1
    __a					=							0
    __a					=							1
    __a					=							1
    __a					=							3
    __a					=							3
    __a					=							limit
    __a					=							0

    __a					=							''''''
    while counter != decimal + 1:
        if 4 * q + r - t < n * t:
            result += str(_UpperCAmelCase							)
            if counter == 0:
                result += "."

            if decimal == counter:
                break

            counter += 1
            __a					=							10 * (r - n * t)
            __a					=							((10 * (3 * q + r)) // t) - 10 * n
            q *= 10
            __a					=							nr
        else:
            __a					=							(2 * q + r) * l
            __a					=							(q * (7 * k) + 2 + (r * l)) // (t * l)
            q *= k
            t *= l
            l += 2
            k += 1
            __a					=							nn
            __a					=							nr
    return result





def 	__snake_case      (     ):
    print(f'{calculate_pi(50							) = }'							)
    import doctest

    doctest.testmod()


if __name__ == "__main__":
 main()





