





'''simple docstring'''


import io
import os
import unicodedata
from typing import Any, Dict, List, Optional, Tuple

import sentencepiece as spm

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


lowerCAmelCase :					int 							=logging.get_logger(__name__)

lowerCAmelCase :					Tuple 							='''▁'''

lowerCAmelCase :					Optional[int] 							={'''vocab_file''': '''vocab.txt''', '''sentencepiece_model_ckpt''': '''sentencepiece.bpe.model'''}

lowerCAmelCase :					Optional[int] 							={
    '''sentencepiece_model_file''': '''sentencepiece.bpe.model''',
    '''vocab_file''': '''vocab.txt''',
}

lowerCAmelCase :					Dict 							={
    '''vocab_file''': {
        '''ernie-m-base''': '''https://huggingface.co/susnato/ernie-m-base_pytorch/blob/main/vocab.txt''',
        '''ernie-m-large''': '''https://huggingface.co/susnato/ernie-m-base_pytorch/blob/main/vocab.txt''',
    },
    '''sentencepiece_model_file''': {
        '''ernie-m-base''': '''https://huggingface.co/susnato/ernie-m-base_pytorch/blob/main/sentencepiece.bpe.model''',
        '''ernie-m-large''': '''https://huggingface.co/susnato/ernie-m-base_pytorch/blob/main/sentencepiece.bpe.model''',
    },
}

lowerCAmelCase :					Any 							={
    '''ernie-m-base''': 514,
    '''ernie-m-large''': 514,
}

lowerCAmelCase :					Dict 							={
    '''ernie-m-base''': {'''do_lower_case''': False},
    '''ernie-m-large''': {'''do_lower_case''': False},
}
class 				a_       (    snake_case_							):
     __A								=      ["input_ids"]

     __A								=      VOCAB_FILES_NAMES
     __A								=      PRETRAINED_INIT_CONFIGURATION
     __A								=      PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
     __A								=      PRETRAINED_VOCAB_FILES_MAP
     __A								=      RESOURCE_FILES_NAMES





     def __init__(			self		: Any     ,				lowercase		: Tuple     ,				lowercase		: Optional[Any]=None     ,				lowercase		: Union[str, Any]=False     ,				lowercase		: Dict="utf8"     ,				lowercase		: Optional[int]="[UNK]"     ,				lowercase		: Any="[SEP]"     ,				lowercase		: Dict="[PAD]"     ,				lowercase		: int="[CLS]"     ,				lowercase		: Tuple="[MASK]"     ,				lowercase		: Tuple = None     ,				**lowercase		: Dict     ,				):





        """simple docstring"""




        lowercase_      :Optional[Any]         =			{} if sp_model_kwargs is None else sp_model_kwargs
        super().__init__(
            do_lower_case=lowercase     ,				unk_token=lowercase     ,				sep_token=lowercase     ,				pad_token=lowercase     ,				cls_token=lowercase     ,				mask_token=lowercase     ,				vocab_file=lowercase     ,				encoding=lowercase     ,				sp_model_kwargs=self.sp_model_kwargs     ,				**lowercase     ,				)
        lowercase_      :List[str]         =			do_lower_case
        lowercase_      :int         =			sentencepiece_model_ckpt
        lowercase_      :List[Any]         =			spm.SentencePieceProcessor(**self.sp_model_kwargs						)
        self.sp_model.Load(lowercase						)

        # to mimic paddlenlp.transformers.ernie_m.tokenizer.ErnieMTokenizer functioning
        if vocab_file is not None:
           lowercase_      :Union[str, Any]         =			self.load_vocab(filepath=lowercase						)
        else:
           lowercase_      :int         =			{self.sp_model.id_to_piece(lowercase						): id for id in range(self.sp_model.get_piece_size()						)}
        lowercase_      :List[str]         =			{v: k for k, v in self.vocab.items()}





     def 							lowercase__				(			self		: List[str]     ,				lowercase		: Dict						):





        """simple docstring"""




        if text is None:
           return None

        lowercase_      :int         =			self.tokenize(lowercase						)
        lowercase_      ,							lowercase_      :List[str]         =			"", []

        for i, ch in enumerate(lowercase						):
           if ch in self.SP_CHAR_MAPPING:
              lowercase_      :List[str]         =			self.SP_CHAR_MAPPING.get(lowercase						)
           else:
              lowercase_      :List[Any]         =			unicodedata.normalize("NFKC"     ,				lowercase						)
           if self.is_whitespace(lowercase						):
              continue
           normalized_text += ch
           char_mapping.extend([i] * len(lowercase						)						)

        lowercase_      ,							lowercase_      ,							lowercase_      :Dict         =			normalized_text, [], 0

        if self.do_lower_case:
           lowercase_      :Any         =			text.lower()

        for token in split_tokens:
           if token[:1] == "▁":
              lowercase_      :Any         =			token[1:]
           lowercase_      :Any         =			text[offset:].index(lowercase						) + offset
           lowercase_      :Optional[Any]         =			start + len(lowercase						)

           token_mapping.append((char_mapping[start], char_mapping[end - 1] + 1)						)
           lowercase_      :Optional[int]         =			end
        return token_mapping





     @property
     def 							lowercase__				(			self		: Dict						):





        """simple docstring"""




        return len(self.vocab						)





     def 							lowercase__				(			self		: str						):





        """simple docstring"""




        return dict(self.vocab     ,				**self.added_tokens_encoder						)





     def __getstate__(			self		: Tuple						):





        """simple docstring"""




        lowercase_      :Tuple         =			self.__dict__.copy()
        lowercase_      :Tuple         =			None
        return state





     def __setstate__(			self		: Tuple     ,				lowercase		: Optional[int]						):





        """simple docstring"""




        lowercase_      :List[Any]         =			d

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

        lowercase_      :Dict         =			spm.SentencePieceProcessor(**self.sp_model_kwargs						)
        self.sp_model.Load(self.sentencepiece_model_ckpt						)





     def 							lowercase__				(			self		: Tuple     ,				lowercase		: List[Any]						):





        """simple docstring"""




        return "".join((self.SP_CHAR_MAPPING.get(lowercase     ,				lowercase						) for c in text)						)





     def 							lowercase__				(			self		: Tuple     ,				lowercase		: str     ,				lowercase		: List[Any]=False     ,				lowercase		: Optional[Any]=64     ,				lowercase		: List[Any]=0.1						):





        """simple docstring"""




        if self.sp_model_kwargs.get("enable_sampling"						) is True:
           lowercase_      :Union[str, Any]         =			True
        if self.sp_model_kwargs.get("alpha"						) is not None:
           lowercase_      :List[str]         =			self.sp_model_kwargs.get("alpha"						)
        if self.sp_model_kwargs.get("nbest_size"						) is not None:
           lowercase_      :Dict         =			self.sp_model_kwargs.get("nbest_size"						)

        if not enable_sampling:
           lowercase_      :List[str]         =			self.sp_model.EncodeAsPieces(lowercase						)
        else:
           lowercase_      :List[Any]         =			self.sp_model.SampleEncodeAsPieces(lowercase     ,				lowercase     ,				lowercase						)
        lowercase_      :str         =			[]
        for pi, piece in enumerate(lowercase						):
           if piece == SPIECE_UNDERLINE:
              if not pieces[pi + 1].startswith(lowercase						) and pi != 0:
                 new_pieces.append(lowercase						)
                 continue
              else:
                 continue
           lowercase_      :Union[str, Any]         =			0
           for i, chunk in enumerate(lowercase						):
              if chunk == SPIECE_UNDERLINE:
                 continue
              if self.is_ch_char(lowercase						) or self.is_punct(lowercase						):
                 if i > lst_i and piece[lst_i:i] != SPIECE_UNDERLINE:
                    new_pieces.append(piece[lst_i:i]						)
                 new_pieces.append(lowercase						)
                 lowercase_      :int         =			i + 1
              elif chunk.isdigit() and i > 0 and not piece[i - 1].isdigit():
                 if i > lst_i and piece[lst_i:i] != SPIECE_UNDERLINE:
                    new_pieces.append(piece[lst_i:i]						)
                 lowercase_      :Union[str, Any]         =			i
              elif not chunk.isdigit() and i > 0 and piece[i - 1].isdigit():
                 if i > lst_i and piece[lst_i:i] != SPIECE_UNDERLINE:
                    new_pieces.append(piece[lst_i:i]						)
                 lowercase_      :Tuple         =			i
           if len(lowercase						) > lst_i:
              new_pieces.append(piece[lst_i:]						)
        return new_pieces





     def 							lowercase__				(			self		: Union[str, Any]     ,				lowercase		: str						):





        """simple docstring"""




        lowercase_      :int         =			"".join(lowercase						).replace(lowercase     ,				" "						).strip()
        return out_string





     def 							lowercase__				(			self		: int     ,				lowercase		: Optional[Any]						):





        """simple docstring"""




        lowercase_      :Optional[Any]         =			self.convert_ids_to_tokens(lowercase						)
        lowercase_      :Dict         =			"".join(lowercase						).replace(lowercase     ,				" "						).strip()
        return out_string





     def 							lowercase__				(			self		: int     ,				lowercase		: str						):





        """simple docstring"""




        return self.vocab.get(lowercase     ,				self.vocab.get(self.unk_token						)						)





     def 							lowercase__				(			self		: Any     ,				lowercase		: Optional[Any]						):





        """simple docstring"""




        return self.reverse_vocab.get(lowercase     ,				self.unk_token						)





     def 							lowercase__				(			self		: Optional[int]     ,				lowercase		: Optional[int]     ,				lowercase		: Dict=None						):





        """simple docstring"""




        if token_ids_a is None:
           return [self.cls_token_id] + token_ids_a + [self.sep_token_id]
        lowercase_      :Optional[int]         =			[self.cls_token_id]
        lowercase_      :Dict         =			[self.sep_token_id]
        return _cls + token_ids_a + _sep + _sep + token_ids_a + _sep





     def 							lowercase__				(			self		: Optional[Any]     ,				lowercase		: Any     ,				lowercase		: List[Any]=None						):





        """simple docstring"""




        if offset_mapping_a is None:
           return [(0, 0)] + offset_mapping_a + [(0, 0)]

        return [(0, 0)] + offset_mapping_a + [(0, 0), (0, 0)] + offset_mapping_a + [(0, 0)]





     def 							lowercase__				(			self		: Union[str, Any]     ,				lowercase		: Dict     ,				lowercase		: Optional[int]=None     ,				lowercase		: Dict=False						):





        """simple docstring"""




        if already_has_special_tokens:
           if token_ids_a is not None:
              raise ValueError(
                  "You should not supply a second sequence if the provided sequence of "
                  "ids is already formatted with special tokens for the model."						)
           return [1 if x in [self.sep_token_id, self.cls_token_id] else 0 for x in token_ids_a]

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





     def 							lowercase__				(			self		: str     ,				lowercase		: int     ,				lowercase		: Tuple = None						):





        """simple docstring"""




        if token_ids_a is None:
           # [CLS] X [SEP]
           return (len(lowercase						) + 2) * [0]

        # [CLS] A [SEP] [SEP] B [SEP]
        return [0] * (len(lowercase						) + 1) + [1] * (len(lowercase						) + 3)





     def 							lowercase__				(			self		: Tuple     ,				lowercase		: Optional[int]						):





        """simple docstring"""




        if "\u4e00" <= char <= "\u9fff":
           return True
        return False





     def 							lowercase__				(			self		: int     ,				lowercase		: int						):





        """simple docstring"""




        if ("a" <= char <= "z") or ("A" <= char <= "Z"):
           return True
        return False





     def 							lowercase__				(			self		: List[Any]     ,				lowercase		: List[Any]						):





        """simple docstring"""




        if char in ",;:.?!~，；：。？！《》【】":
           return True
        return False





     def 							lowercase__				(			self		: List[Any]     ,				lowercase		: List[str]						):





        """simple docstring"""




        if char == " " or char == "\t" or char == "\n" or char == "\r":
           return True
        if len(lowercase						) == 1:
           lowercase_      :Optional[int]         =			unicodedata.category(lowercase						)
           if cat == "Zs":
              return True
        return False





     def 							lowercase__				(			self		: List[str]     ,				lowercase		: Tuple						):





        """simple docstring"""




        lowercase_      :Union[str, Any]         =			{}
        with io.open(lowercase     ,				"r"     ,				encoding="utf-8"						) as f:
           for index, line in enumerate(lowercase						):
              lowercase_      :Optional[Any]         =			line.rstrip("\n"						)
              lowercase_      :List[str]         =			int(lowercase						)

        return token_to_idx







     def 							lowercase__				(			self		: str     ,				lowercase		: str     ,				lowercase		: Optional[int] = None						):





        """simple docstring"""




        lowercase_      :List[str]         =			0
        if os.path.isdir(lowercase						):
           lowercase_      :Tuple         =			os.path.join(
               lowercase     ,				(filename_prefix + "-" if filename_prefix else "") + VOCAB_FILES_NAMES["vocab_file"]						)
        else:
           lowercase_      :Any         =			(filename_prefix + "-" if filename_prefix else "") + save_directory
        with open(lowercase     ,				"w"     ,				encoding="utf-8"						) as writer:
           for token, token_index in sorted(self.vocab.items()     ,				key=lambda lowercase						: kv[1]						):
              if index != token_index:
                 logger.warning(
                     F'Saving vocabulary to {vocab_file}: vocabulary indices are not consecutive.'
                     " Please check that the vocabulary is not corrupted!"						)
                 lowercase_      :Union[str, Any]         =			token_index
              writer.write(token + "\n"						)
              index += 1

        lowercase_      :List[str]         =			os.path.join(lowercase     ,				"sentencepiece.bpe.model"						)
        with open(lowercase     ,				"wb"						) as fi:
           lowercase_      :Union[str, Any]         =			self.sp_model.serialized_model_proto()
           fi.write(lowercase						)

        return (vocab_file,)









'''simple docstring'''


def 							UpperCAmelCase_  (						__lowerCamelCase : int | float | str			):
   try:
      lowercase_      :Optional[int]         =			float(__lowerCamelCase			)
   except ValueError:
      raise ValueError("Please enter a valid number"			)
   lowercase_      :Dict         =			decimal - int(__lowerCamelCase			)
   if fractional_part == 0:
      return int(__lowerCamelCase			), 1
   else:
      lowercase_      :Tuple         =			len(str(__lowerCamelCase			).split("."			)[1]			)
      lowercase_      :Optional[Any]         =			int(decimal * (10**number_of_frac_digits)			)
      lowercase_      :Dict         =			10**number_of_frac_digits
      lowercase_      ,							lowercase_      :Optional[int]         =			denominator, numerator
      while True:
         lowercase_      :Any         =			dividend % divisor
         if remainder == 0:
            break
         lowercase_      ,							lowercase_      :Optional[int]         =			divisor, remainder
      lowercase_      ,							lowercase_      :Optional[int]         =			numerator / divisor, denominator / divisor
      return int(__lowerCamelCase			), int(__lowerCamelCase			)


if __name__ == "__main__":
 print(F'''{decimal_to_fraction(2) = }''')
 print(F'''{decimal_to_fraction(89.0) = }''')
 print(F'''{decimal_to_fraction('67') = }''')
 print(F'''{decimal_to_fraction('45.0') = }''')
 print(F'''{decimal_to_fraction(1.5) = }''')
 print(F'''{decimal_to_fraction('6.25') = }''')
 print(F'''{decimal_to_fraction('78td') = }''')


