





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


__UpperCAmelCase	:       Dict    	=							logging.get_logger(__name__)

__UpperCAmelCase	:       Optional[int]    	=							{"vocab_file": "spiece.model"}

__UpperCAmelCase	:       Optional[int]    	=							{
    "vocab_file": {
        "TsinghuaAI/CPM-Generate": "https://huggingface.co/TsinghuaAI/CPM-Generate/resolve/main/spiece.model",
    }
}







class    __snake_case	(							__lowerCamelCase      ):





       '''simple docstring'''







       def __init__(  self			:   List[Any]							,    A			:   int							,    A			:   int=False							,    A			:   Dict=True							,    A			:   Tuple=False							,    A			:   Dict="<s>"							,    A			:   str="</s>"							,    A			:   Optional[int]="<unk>"							,    A			:   int="<sep>"							,    A			:   Optional[Any]="<pad>"							,    A			:   List[str]="<cls>"							,    A			:   Dict="<mask>"							,    A			:   Optional[Any]=["<eop>", "<eod>"]							,    A			:   Optional[Dict[str, Any]] = None							,    **A			:   Optional[Any]							,    ):
         __snake_case:						Dict			  =						AddedToken(A							,    lstrip=A							,    rstrip=A		) if isinstance(A							,    A		) else mask_token

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

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

         __snake_case:						Optional[Any]			  =						3

         __snake_case:						Tuple			  =						do_lower_case
         __snake_case:						Dict			  =						remove_space
         __snake_case:						Dict			  =						keep_accents
         __snake_case:						Optional[Any]			  =						vocab_file

         __snake_case:						Dict			  =						spm.SentencePieceProcessor(**self.sp_model_kwargs		)
         self.sp_model.Load(A		)

         try:
           import jieba
         except ModuleNotFoundError as error:
           raise error.__class__(
               """You need to install jieba to use CpmTokenizer or CpmTokenizerFast. """
               """See https://pypi.org/project/jieba/ for installation."""		)
         __snake_case:						Any			  =						jieba
         __snake_case:						List[str]			  =						str.maketrans(""" \n"""							,    """\u2582\u2583"""		)




       @property
       # Copied from transformers.models.xlnet.tokenization_xlnet.XLNetTokenizer.vocab_size
       def 							UpperCAmelCase__			(  self			:   Optional[Any]		):
         return len(self.sp_model		)




       def 							UpperCAmelCase__			(  self			:   Optional[Any]		):
         __snake_case:						Optional[Any]			  =						{self.convert_ids_to_tokens(A		): i for i in range(self.vocab_size		)}
         vocab.update(self.added_tokens_encoder		)
         return vocab




       def __getstate__(  self			:   List[Any]		):
         __snake_case:						Any			  =						self.__dict__.copy()
         __snake_case:						Any			  =						None
         return state




       def __setstate__(  self			:   Optional[Any]							,    A			:   Tuple		):
         __snake_case:						List[Any]			  =						d

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

         __snake_case:						Optional[Any]			  =						spm.SentencePieceProcessor(**self.sp_model_kwargs		)
         self.sp_model.Load(self.vocab_file		)




       def 							UpperCAmelCase__			(  self			:   Any							,    A			:   List[Any]		):
         if self.remove_space:
           __snake_case:						Any			  =						""" """.join(inputs.strip().split()		)
         else:
           __snake_case:						int			  =						inputs
         __snake_case:						List[str]			  =						outputs.replace("""``"""							,    """\""""		).replace("""''"""							,    """\""""		)

         if not self.keep_accents:
           __snake_case:						List[str]			  =						unicodedata.normalize("""NFKD"""							,    A		)
           __snake_case:						Dict			  =						"""""".join([c for c in outputs if not unicodedata.combining(A		)]		)
         if self.do_lower_case:
           __snake_case:						Tuple			  =						outputs.lower()

         return outputs




       def 							UpperCAmelCase__			(  self			:   List[Any]							,    A			:   str		):
         __snake_case:						Any			  =						self.preprocess_text(A		)
         __snake_case:						Tuple			  =						self.sp_model.encode(A							,    out_type=A		)
         __snake_case:						List[Any]			  =						[]
         for piece in pieces:
           if len(A		) > 1 and piece[-1] == str(""","""		) and piece[-2].isdigit():
             __snake_case:						Union[str, Any]			  =						self.sp_model.EncodeAsPieces(piece[:-1].replace(A							,    """"""		)		)
             if piece[0] != SPIECE_UNDERLINE and cur_pieces[0][0] == SPIECE_UNDERLINE:
               if len(cur_pieces[0]		) == 1:
                 __snake_case:						Optional[Any]			  =						cur_pieces[1:]
               else:
                 __snake_case:						int			  =						cur_pieces[0][1:]
             cur_pieces.append(piece[-1]		)
             new_pieces.extend(A		)
           else:
             new_pieces.append(A		)

         return new_pieces




       def 							UpperCAmelCase__			(  self			:   Tuple							,    A			:   Optional[Any]		):
         return self.sp_model.PieceToId(A		)




       def 							UpperCAmelCase__			(  self			:   str							,    A			:   Optional[int]		):
         return self.sp_model.IdToPiece(A		)




       def 							UpperCAmelCase__			(  self			:   Optional[Any]							,    A			:   str		):
         __snake_case:						Any			  =						"""""".join(A		).replace(A							,    """ """		).strip()
         return out_string




       def 							UpperCAmelCase__			(  self			:   Tuple							,    A			:   List[int]							,    A			:   Optional[List[int]] = None		):
         __snake_case:						List[str]			  =						[self.sep_token_id]
         __snake_case:						Optional[int]			  =						[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			:   Any							,    A			:   List[int]							,    A			:   Optional[List[int]] = None							,    A			:   bool = 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		)

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




       def 							UpperCAmelCase__			(  self			:   Optional[Any]							,    A			:   List[int]							,    A			:   Optional[List[int]] = None		):
         __snake_case:						Dict			  =						[self.sep_token_id]
         __snake_case:						Optional[Any]			  =						[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			:   List[Any]							,    A			:   str							,    A			:   Optional[str] = None		):
         if not os.path.isdir(A		):
           logger.error(f'''Vocabulary path ({save_directory}) should be a directory'''		)
           return
         __snake_case:						List[str]			  =						os.path.join(
             A							,    (filename_prefix + """-""" if filename_prefix else """""") + VOCAB_FILES_NAMES["""vocab_file"""]		)

         if os.path.abspath(self.vocab_file		) != os.path.abspath(A		) and os.path.isfile(self.vocab_file		):
           copyfile(self.vocab_file							,    A		)
         elif not os.path.isfile(self.vocab_file		):
           with open(A							,    """wb"""		) as fi:
             __snake_case:						Union[str, Any]			  =						self.sp_model.serialized_model_proto()
             fi.write(A		)

         return (out_vocab_file,)






       def 							UpperCAmelCase__			(  self			:   int							,    *A			:   List[str]							,    **A			:   str		):
         __snake_case:						Tuple			  =						super()._decode(*A							,    **A		)
         __snake_case:						Union[str, Any]			  =						text.replace(""" """							,    """"""		).replace("""\u2582"""							,    """ """		).replace("""\u2583"""							,    """\n"""		)
         return text













from __future__ import annotations

from decimal import Decimal

from numpy import array







def       A__							(   SCREAMING_SNAKE_CASE__)       ->   list[list[float]]:
  __snake_case:						Any			  =						Decimal

  # Check if the provided matrix has 2 rows and 2 columns
  # since this implementation only works for 2x2 matrices
  if len(SCREAMING_SNAKE_CASE__) == 2 and len(matrix[0]) == 2 and len(matrix[1]) == 2:
    # Calculate the determinant of the matrix
    __snake_case:						Tuple			  =						float(
        d(matrix[0][0]) * d(matrix[1][1]) - d(matrix[1][0]) * d(matrix[0][1]))
    if determinant == 0:
      raise ValueError("""This matrix has no inverse.""")

    # Creates a copy of the matrix with swapped positions of the elements
    __snake_case:						Optional[int]			  =						[[0.0, 0.0], [0.0, 0.0]]
    __snake_case  ,       __snake_case:						Optional[Any]			  =						matrix[1][1], matrix[0][0]
    __snake_case  ,       __snake_case:						Union[str, Any]			  =						-matrix[1][0], -matrix[0][1]

    # Calculate the inverse of the matrix
    return [
        [(float(d(SCREAMING_SNAKE_CASE__)) / determinant) or 0.0 for n in row] for row in swapped_matrix
    ]
  elif (
      len(SCREAMING_SNAKE_CASE__) == 3
      and len(matrix[0]) == 3
      and len(matrix[1]) == 3
      and len(matrix[2]) == 3
  ):
    # Calculate the determinant of the matrix using Sarrus rule
    __snake_case:						Any			  =						float(
        (
            (d(matrix[0][0]) * d(matrix[1][1]) * d(matrix[2][2]))
            + (d(matrix[0][1]) * d(matrix[1][2]) * d(matrix[2][0]))
            + (d(matrix[0][2]) * d(matrix[1][0]) * d(matrix[2][1]))
        )
        - (
            (d(matrix[0][2]) * d(matrix[1][1]) * d(matrix[2][0]))
            + (d(matrix[0][1]) * d(matrix[1][0]) * d(matrix[2][2]))
            + (d(matrix[0][0]) * d(matrix[1][2]) * d(matrix[2][1]))
        ))
    if determinant == 0:
      raise ValueError("""This matrix has no inverse.""")

    # Creating cofactor matrix
    __snake_case:						Tuple			  =						[
        [d(0.0), d(0.0), d(0.0)],
        [d(0.0), d(0.0), d(0.0)],
        [d(0.0), d(0.0), d(0.0)],
    ]
    __snake_case:						Dict			  =						(d(matrix[1][1]) * d(matrix[2][2])) - (
        d(matrix[1][2]) * d(matrix[2][1])
    )
    __snake_case:						Tuple			  =						-(
        (d(matrix[1][0]) * d(matrix[2][2])) - (d(matrix[1][2]) * d(matrix[2][0]))
    )
    __snake_case:						Optional[int]			  =						(d(matrix[1][0]) * d(matrix[2][1])) - (
        d(matrix[1][1]) * d(matrix[2][0])
    )
    __snake_case:						Union[str, Any]			  =						-(
        (d(matrix[0][1]) * d(matrix[2][2])) - (d(matrix[0][2]) * d(matrix[2][1]))
    )
    __snake_case:						str			  =						(d(matrix[0][0]) * d(matrix[2][2])) - (
        d(matrix[0][2]) * d(matrix[2][0])
    )
    __snake_case:						List[Any]			  =						-(
        (d(matrix[0][0]) * d(matrix[2][1])) - (d(matrix[0][1]) * d(matrix[2][0]))
    )
    __snake_case:						Optional[Any]			  =						(d(matrix[0][1]) * d(matrix[1][2])) - (
        d(matrix[0][2]) * d(matrix[1][1])
    )
    __snake_case:						List[str]			  =						-(
        (d(matrix[0][0]) * d(matrix[1][2])) - (d(matrix[0][2]) * d(matrix[1][0]))
    )
    __snake_case:						Optional[int]			  =						(d(matrix[0][0]) * d(matrix[1][1])) - (
        d(matrix[0][1]) * d(matrix[1][0])
    )

    # Transpose the cofactor matrix (Adjoint matrix)
    __snake_case:						List[Any]			  =						array(SCREAMING_SNAKE_CASE__)
    for i in range(3):
      for j in range(3):
        __snake_case:						Tuple			  =						cofactor_matrix[j][i]

        # Inverse of the matrix using the formula (1/determinant) * adjoint matrix
    __snake_case:						List[Any]			  =						array(SCREAMING_SNAKE_CASE__)
    for i in range(3):
      for j in range(3):
        inverse_matrix[i][j] /= d(SCREAMING_SNAKE_CASE__)

        # Calculate the inverse of the matrix
    return [[float(d(SCREAMING_SNAKE_CASE__)) or 0.0 for n in row] for row in inverse_matrix]
  raise ValueError("""Please provide a matrix of size 2x2 or 3x3.""")






