


import os
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 SPIECE_UNDERLINE, logging


A      = logging.get_logger(__name__)

A      = {"vocab_file": "spiece.model"}

A      = {
    "vocab_file": {
        "xlnet-base-cased": "https://huggingface.co/xlnet-base-cased/resolve/main/spiece.model",
        "xlnet-large-cased": "https://huggingface.co/xlnet-large-cased/resolve/main/spiece.model",
    }
}

A      = {
    "xlnet-base-cased": None,
    "xlnet-large-cased": None,
}

# Segments (not really needed)
A      = 0
A      = 1
A      = 2
A      = 3
A      = 4


class     lowercase__  (					__SCREAMING_SNAKE_CASE		):
  A__=  VOCAB_FILES_NAMES
  A__=  PRETRAINED_VOCAB_FILES_MAP
  A__=  PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
  A__=  'left'






  def __init__(					self      :					int		,						_lowercase      :					List[Any]		,						_lowercase      :					List[Any]=False		,						_lowercase      :					List[str]=True		,						_lowercase      :					Union[str, Any]=False		,						_lowercase      :					Optional[int]="<s>"		,						_lowercase      :					Optional[int]="</s>"		,						_lowercase      :					Optional[Any]="<unk>"		,						_lowercase      :					List[Any]="<sep>"		,						_lowercase      :					Union[str, Any]="<pad>"		,						_lowercase      :					List[Any]="<cls>"		,						_lowercase      :					Dict="<mask>"		,						_lowercase      :					Tuple=["<eop>", "<eod>"]		,						_lowercase      :					Optional[Dict[str, Any]] = None		,						**_lowercase      :					str		,						):




         """simple docstring"""







         UpperCAmelCase__										=     AddedToken(_lowercase		,						lstrip=_lowercase		,						rstrip=_lowercase ) if isinstance(_lowercase		,						_lowercase ) else mask_token

         UpperCAmelCase__										=     {} if sp_model_kwargs is None else sp_model_kwargs

         super().__init__(
             do_lower_case=_lowercase		,						remove_space=_lowercase		,						keep_accents=_lowercase		,						bos_token=_lowercase		,						eos_token=_lowercase		,						unk_token=_lowercase		,						sep_token=_lowercase		,						pad_token=_lowercase		,						cls_token=_lowercase		,						mask_token=_lowercase		,						additional_special_tokens=_lowercase		,						sp_model_kwargs=self.sp_model_kwargs		,						**_lowercase		,						)

         UpperCAmelCase__										=     3

         UpperCAmelCase__										=     do_lower_case
         UpperCAmelCase__										=     remove_space
         UpperCAmelCase__										=     keep_accents
         UpperCAmelCase__										=     vocab_file

         UpperCAmelCase__										=     spm.SentencePieceProcessor(**self.sp_model_kwargs )
         self.sp_model.Load(_lowercase )






  @property
  def 			_UpperCAmelCase  (					self      :					str ):




         """simple docstring"""







         return len(self.sp_model )






  def 			_UpperCAmelCase  (					self      :					List[Any] ):




         """simple docstring"""







         UpperCAmelCase__										=     {self.convert_ids_to_tokens(_lowercase ): i for i in range(self.vocab_size )}
         vocab.update(self.added_tokens_encoder )
         return vocab






  def __getstate__(					self      :					str ):




         """simple docstring"""







         UpperCAmelCase__										=     self.__dict__.copy()
         UpperCAmelCase__										=     None
         return state






  def __setstate__(					self      :					List[str]		,						_lowercase      :					List[str] ):




         """simple docstring"""







         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      :					Dict		,						_lowercase      :					Union[str, Any] ):




         """simple docstring"""







         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"		,						_lowercase )
                UpperCAmelCase__										=     "".join([c for c in outputs if not unicodedata.combining(_lowercase )] )
         if self.do_lower_case:
                UpperCAmelCase__										=     outputs.lower()

         return outputs






  def 			_UpperCAmelCase  (					self      :					int		,						_lowercase      :					str ):




         """simple docstring"""







         UpperCAmelCase__										=     self.preprocess_text(_lowercase )
         UpperCAmelCase__										=     self.sp_model.encode(_lowercase		,						out_type=_lowercase )
         UpperCAmelCase__										=     []
         for piece in pieces:
                if len(_lowercase ) > 1 and piece[-1] == str("," ) and piece[-2].isdigit():
                       UpperCAmelCase__										=     self.sp_model.EncodeAsPieces(piece[:-1].replace(_lowercase		,						"" ) )
                       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(_lowercase )
                else:
                       new_pieces.append(_lowercase )

         return new_pieces






  def 			_UpperCAmelCase  (					self      :					Dict		,						_lowercase      :					str ):




         """simple docstring"""







         return self.sp_model.PieceToId(_lowercase )






  def 			_UpperCAmelCase  (					self      :					Dict		,						_lowercase      :					Any ):




         """simple docstring"""







         return self.sp_model.IdToPiece(_lowercase )






  def 			_UpperCAmelCase  (					self      :					Union[str, Any]		,						_lowercase      :					int ):




         """simple docstring"""







         UpperCAmelCase__										=     "".join(_lowercase ).replace(_lowercase		,						" " ).strip()
         return out_string






  def 			_UpperCAmelCase  (					self      :					Tuple		,						_lowercase      :					List[int]		,						_lowercase      :					bool = False		,						_lowercase      :					bool = None		,						_lowercase      :					bool = True		,						**_lowercase      :					Union[str, Any]		,						):




         """simple docstring"""







         UpperCAmelCase__										=     kwargs.pop("use_source_tokenizer"		,						_lowercase )

         UpperCAmelCase__										=     self.convert_ids_to_tokens(_lowercase		,						skip_special_tokens=_lowercase )

         # 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(_lowercase ) )
                              UpperCAmelCase__										=     []
                       sub_texts.append(_lowercase )
                else:
                       current_sub_text.append(_lowercase )
         if current_sub_text:
                sub_texts.append(self.convert_tokens_to_string(_lowercase ) )

         # Mimic the behavior of the Rust tokenizer:
         # By default, there are no spaces between special tokens
         UpperCAmelCase__										=     "".join(_lowercase )

         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(_lowercase )
                return clean_text
         else:
                return text






  def 			_UpperCAmelCase  (					self      :					Optional[int]		,						_lowercase      :					List[int]		,						_lowercase      :					Optional[List[int]] = None ):




         """simple docstring"""







         UpperCAmelCase__										=     [self.sep_token_id]
         UpperCAmelCase__										=     [self.cls_token_id]
         if token_ids_a is None:
                return token_ids_a + sep + cls
         return token_ids_a + sep + token_ids_a + sep + cls






  def 			_UpperCAmelCase  (					self      :					Union[str, Any]		,						_lowercase      :					List[int]		,						_lowercase      :					Optional[List[int]] = None		,						_lowercase      :					bool = False ):




         """simple docstring"""







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

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






  def 			_UpperCAmelCase  (					self      :					Any		,						_lowercase      :					List[int]		,						_lowercase      :					Optional[List[int]] = None ):




         """simple docstring"""







         UpperCAmelCase__										=     [self.sep_token_id]
         UpperCAmelCase__										=     [2]

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






  def 			_UpperCAmelCase  (					self      :					int		,						_lowercase      :					str		,						_lowercase      :					Optional[str] = None ):




         """simple docstring"""







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

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

         return (out_vocab_file,)









from __future__ import annotations

import math





def __UpperCAmelCase       (		__A ,						__A			)						->					float:



       '''simple docstring'''





       UpperCAmelCase__										=     u
       for i in range(1 ,						__A			):
              UpperCAmelCase__										=     temp * (u - i)
       return temp





def __UpperCAmelCase       (		)						->					None:



       '''simple docstring'''





       UpperCAmelCase__										=     int(input("enter the numbers of values: "			)			)
       UpperCAmelCase__										=     []
       for _ in range(__A			):
              y.append([]			)
       for i in range(__A			):
              for j in range(__A			):
                     y[i].append(__A			)
                     UpperCAmelCase__										=     0

       print("enter the values of parameters in a list: "			)
       UpperCAmelCase__										=     list(map(__A ,						input().split()			)			)

       print("enter the values of corresponding parameters: "			)
       for i in range(__A			):
              UpperCAmelCase__										=     float(input()			)

       UpperCAmelCase__										=     int(input("enter the value to interpolate: "			)			)
       UpperCAmelCase__										=     (value - x[0]) / (x[1] - x[0])

       # for calculating forward difference table

       for i in range(1 ,						__A			):
              for j in range(n - i			):
                     UpperCAmelCase__										=     y[j + 1][i - 1] - y[j][i - 1]

       UpperCAmelCase__										=     y[0][0]
       for i in range(1 ,						__A			):
              summ += (ucal(__A ,						__A			) * y[0][i]) / math.factorial(__A			)

       print(F"""the value at {value} is {summ}"""			)


if __name__ == "__main__":
    main()





