


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

import sentencepiece as spm

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


_A		       =						logging.get_logger(__name__)

_A		       =						'''▁'''

_A		       =						{'''vocab_file''': '''sentencepiece.bpe.model'''}

_A		       =						{
    '''vocab_file''': {
        '''facebook/xglm-564M''': '''https://huggingface.co/facebook/xglm-564M/resolve/main/sentencepiece.bpe.model''',
    }
}

_A		       =						{
    '''facebook/xglm-564M''': 2048,
}






class     UpperCAmelCase__       (					__lowerCamelCase		):



    """simple docstring"""






    UpperCAmelCase__						:		List[Any]      =  VOCAB_FILES_NAMES
    UpperCAmelCase__						:		List[Any]      =  PRETRAINED_VOCAB_FILES_MAP
    UpperCAmelCase__						:		Dict      =  PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
    UpperCAmelCase__						:		Optional[Any]      =  ["input_ids", "attention_mask"]






    def __init__(			self					,   A_					,   A_="<s>"					,   A_="</s>"					,   A_="</s>"					,   A_="<s>"					,   A_="<unk>"					,   A_="<pad>"					,   A_ = None					,   **A_					,   )  ->       Optional[int]:
         __UpperCamelCase    							={} if sp_model_kwargs is None else sp_model_kwargs

         # Compatibility with the original tokenizer
         __UpperCamelCase    							=7
         __UpperCamelCase    							=[f'<madeupword{i}>' for i in range(self.num_madeup_words    )]

         __UpperCamelCase    							=kwargs.get('additional_special_tokens'					,   []    )
         kwargs["additional_special_tokens"] += [
             word for word in madeup_words if word not in kwargs["additional_special_tokens"]
         ]

         super().__init__(
             bos_token=__A					,   eos_token=__A					,   unk_token=__A					,   sep_token=__A					,   cls_token=__A					,   pad_token=__A					,   sp_model_kwargs=self.sp_model_kwargs					,   **__A					,   )

         __UpperCamelCase    							=spm.SentencePieceProcessor(**self.sp_model_kwargs    )
         self.sp_model.Load(str(__A    )    )
         __UpperCamelCase    							=vocab_file

         # Original fairseq vocab and spm vocab must be "aligned":
         # Vocab    |    0    |    1    |   2    |    3    |  4  |  5  |  6  |   7   |   8   |  9
         # -------- | ------- | ------- | ------ | ------- | --- | --- | --- | ----- | ----- | ----
         # fairseq  | '<s>'   | '<pad>' | '</s>' | '<unk>' | ',' | '.' | '▁' | 's'   | '▁de' | '-'
         # spm      | '<unk>' | '<s>'   | '</s>' | ','     | '.' | '▁' | 's' | '▁de' | '-'   | '▁a'

         # The first "real" token "," has position 4 in the original fairseq vocab and position 3 in the spm vocab
         __UpperCamelCase    							=1

         # Mimic fairseq token-to-id alignment for the first 4 token
         __UpperCamelCase    							={'<s>': 0, '<pad>': 1, '</s>': 2, '<unk>': 3}

         __UpperCamelCase    							=len(self.sp_model    )
         __UpperCamelCase    							={f'<madeupword{i}>': sp_size + i + self.fairseq_offset for i in range(self.num_madeup_words    )}
         self.fairseq_tokens_to_ids.update(__A    )

         __UpperCamelCase    							={v: k for k, v in self.fairseq_tokens_to_ids.items()}






    def __getstate__(			self    )  ->       int:
         __UpperCamelCase    							=self.__dict__.copy()
         __UpperCamelCase    							=None
         __UpperCamelCase    							=self.sp_model.serialized_model_proto()
         return state






    def __setstate__(			self					,   A_    )  ->       Any:
         __UpperCamelCase    							=d

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

         __UpperCamelCase    							=spm.SentencePieceProcessor(**self.sp_model_kwargs    )
         self.sp_model.LoadFromSerializedProto(self.sp_model_proto    )






    def _a					(			self					,   A_					,   A_ = None    )  ->       Tuple:

         if token_ids_a is None:
              return [self.sep_token_id] + token_ids_a
         __UpperCamelCase    							=[self.sep_token_id]
         return sep + token_ids_a + sep + sep + token_ids_a






    def _a					(			self					,   A_					,   A_ = None					,   A_ = False    )  ->       Union[str, Any]:

         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 None:
              return [1] + ([0] * len(__A    ))
         return [1] + ([0] * len(__A    )) + [1, 1] + ([0] * len(__A    ))






    def _a					(			self					,   A_					,   A_ = None    )  ->       List[str]:
         __UpperCamelCase    							=[self.sep_token_id]

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






    @property
    def _a					(			self    )  ->       int:
         return len(self.sp_model    ) + self.fairseq_offset + self.num_madeup_words






    def _a					(			self    )  ->       int:
         __UpperCamelCase    							={self.convert_ids_to_tokens(__A    ): i for i in range(self.vocab_size    )}
         vocab.update(self.added_tokens_encoder    )
         return vocab






    def _a					(			self					,   A_    )  ->       int:
         return self.sp_model.encode(__A					,   out_type=__A    )






    def _a					(			self					,   A_    )  ->       Optional[int]:
         if token in self.fairseq_tokens_to_ids:
              return self.fairseq_tokens_to_ids[token]
         __UpperCamelCase    							=self.sp_model.PieceToId(__A    )

         # Need to return unknown token if the SP model returned 0
         return spm_id + self.fairseq_offset if spm_id else self.unk_token_id






    def _a					(			self					,   A_    )  ->       Any:
         if index in self.fairseq_ids_to_tokens:
              return self.fairseq_ids_to_tokens[index]
         return self.sp_model.IdToPiece(index - self.fairseq_offset    )






    def _a					(			self					,   A_    )  ->       Dict:
         __UpperCamelCase    							=''.join(__A    ).replace(__A					,   ' '    ).strip()
         return out_string






    def _a					(			self					,   A_					,   A_ = None    )  ->       Tuple:
         if not os.path.isdir(__A    ):
              logger.error(f'Vocabulary path ({save_directory}) should be a directory'    )
              return
         __UpperCamelCase    							=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:
                   __UpperCamelCase    							=self.sp_model.serialized_model_proto()
                   fi.write(__A    )

         return (out_vocab_file,)












'''simple docstring'''
from __future__ import annotations

class      snake_case     :




 """simple docstring"""



 def __init__(       self       :							Optional[int]							,	__A       :							list[list[int]]	):
        __UpperCamelCase       =  TypeError(
            'Matrices must be formed from a list of zero or more lists containing at '
            'least one and the same number of values, each of which must be of type '
            'int or float.'	)
        if len(__A	) != 0:
               __UpperCamelCase       =  len(rows[0]	)
               if cols == 0:
                      raise error
               for row in rows:
                      if len(__A	) != cols:
                             raise error
                      for value in row:
                             if not isinstance(__A							,	(int, float)	):
                                    raise error
               __UpperCamelCase       =  rows
        else:
               __UpperCamelCase       =  []






 def        _lowerCamelCase					(       self       :							int	):
        return [[row[i] for row in self.rows] for i in range(len(self.rows[0]	)	)]






 @property
 def        _lowerCamelCase					(       self       :							str	):
        return len(self.rows	)






 @property
 def        _lowerCamelCase					(       self       :							Any	):
        return len(self.rows[0]	)






 @property
 def        _lowerCamelCase					(       self       :							Optional[Any]	):
        return (self.num_rows, self.num_columns)






 @property
 def        _lowerCamelCase					(       self       :							Dict	):
        return self.order[0] == self.order[1]






 def        _lowerCamelCase					(       self       :							Any	):
        __UpperCamelCase       =  [
            [0 if column_num != row_num else 1 for column_num in range(self.num_rows	)]
            for row_num in range(self.num_rows	)
        ]
        return Matrix(__A	)






 def        _lowerCamelCase					(       self       :							Any	):
        if not self.is_square:
               return 0
        if self.order == (0, 0):
               return 1
        if self.order == (1, 1):
               return int(self.rows[0][0]	)
        if self.order == (2, 2):
               return int(
                   (self.rows[0][0] * self.rows[1][1])
                   - (self.rows[0][1] * self.rows[1][0])	)
        else:
               return sum(
                   self.rows[0][column] * self.cofactors().rows[0][column]
                   for column in range(self.num_columns	)	)






 def        _lowerCamelCase					(       self       :							List[str]	):
        return bool(self.determinant()	)






 def        _lowerCamelCase					(       self       :							Dict							,	__A       :							int							,	__A       :							int	):
        __UpperCamelCase       =  [
            [
                self.rows[other_row][other_column]
                for other_column in range(self.num_columns	)
                if other_column != column
            ]
            for other_row in range(self.num_rows	)
            if other_row != row
        ]
        return Matrix(__A	).determinant()






 def        _lowerCamelCase					(       self       :							Dict							,	__A       :							int							,	__A       :							int	):
        if (row + column) % 2 == 0:
               return self.get_minor(__A							,	__A	)
        return -1 * self.get_minor(__A							,	__A	)






 def        _lowerCamelCase					(       self       :							List[str]	):
        return Matrix(
            [
                [self.get_minor(__A							,	__A	) for column in range(self.num_columns	)]
                for row in range(self.num_rows	)
            ]	)






 def        _lowerCamelCase					(       self       :							Union[str, Any]	):
        return Matrix(
            [
                [
                    self.minors().rows[row][column]
                    if (row + column) % 2 == 0
                    else self.minors().rows[row][column] * -1
                    for column in range(self.minors().num_columns	)
                ]
                for row in range(self.minors().num_rows	)
            ]	)






 def        _lowerCamelCase					(       self       :							List[str]	):
        __UpperCamelCase       =  [
            [self.cofactors().rows[column][row] for column in range(self.num_columns	)]
            for row in range(self.num_rows	)
        ]
        return Matrix(__A	)






 def        _lowerCamelCase					(       self       :							Dict	):
        __UpperCamelCase       =  self.determinant()
        if not determinant:
               raise TypeError('Only matrices with a non-zero determinant have an inverse'	)
        return self.adjugate() * (1 / determinant)






 def __repr__(       self       :							Optional[Any]	):
        return str(self.rows	)






 def __str__(       self       :							Union[str, Any]	):
        if self.num_rows == 0:
               return "[]"
        if self.num_rows == 1:
               return "[[" + ". ".join(str(self.rows[0]	)	) + "]]"
        return (
            "["
            + "\n ".join(
                [
                    '[' + '. '.join([str(__A	) for value in row]	) + '.]'
                    for row in self.rows
                ]	)
            + "]"
        )






 def        _lowerCamelCase					(       self       :							List[Any]							,	__A       :							list[int]							,	__A       :							int | None = None	):
        __UpperCamelCase       =  TypeError('Row must be a list containing all ints and/or floats'	)
        if not isinstance(__A							,	__A	):
               raise type_error
        for value in row:
               if not isinstance(__A							,	(int, float)	):
                      raise type_error
        if len(__A	) != self.num_columns:
               raise ValueError(
                   'Row must be equal in length to the other rows in the matrix'	)
        if position is None:
               self.rows.append(__A	)
        else:
               __UpperCamelCase       =  self.rows[0:position] + [row] + self.rows[position:]






 def        _lowerCamelCase					(       self       :							Optional[Any]							,	__A       :							list[int]							,	__A       :							int | None = None	):
        __UpperCamelCase       =  TypeError(
            'Column must be a list containing all ints and/or floats'	)
        if not isinstance(__A							,	__A	):
               raise type_error
        for value in column:
               if not isinstance(__A							,	(int, float)	):
                      raise type_error
        if len(__A	) != self.num_rows:
               raise ValueError(
                   'Column must be equal in length to the other columns in the matrix'	)
        if position is None:
               __UpperCamelCase       =  [self.rows[i] + [column[i]] for i in range(self.num_rows	)]
        else:
               __UpperCamelCase       =  [
                   self.rows[i][0:position] + [column[i]] + self.rows[i][position:]
                   for i in range(self.num_rows	)
               ]






 def __eq__(       self       :							Tuple							,	__A       :							object	):
        if not isinstance(__A							,	__A	):
               return NotImplemented
        return self.rows == other.rows






 def __ne__(       self       :							Any							,	__A       :							object	):
        return not self == other






 def __neg__(       self       :							List[Any]	):
        return self * -1






 def __add__(       self       :							List[str]							,	__A       :							Matrix	):
        if self.order != other.order:
               raise ValueError('Addition requires matrices of the same order'	)
        return Matrix(
            [
                [self.rows[i][j] + other.rows[i][j] for j in range(self.num_columns	)]
                for i in range(self.num_rows	)
            ]	)






 def __sub__(       self       :							str							,	__A       :							Matrix	):
        if self.order != other.order:
               raise ValueError('Subtraction requires matrices of the same order'	)
        return Matrix(
            [
                [self.rows[i][j] - other.rows[i][j] for j in range(self.num_columns	)]
                for i in range(self.num_rows	)
            ]	)






 def __mul__(       self       :							str							,	__A       :							Matrix | int | float	):
        if isinstance(__A							,	(int, float)	):
               return Matrix(
                   [[int(element * other	) for element in row] for row in self.rows]	)
        elif isinstance(__A							,	__A	):
               if self.num_columns != other.num_rows:
                      raise ValueError(
                          'The number of columns in the first matrix must '
                          'be equal to the number of rows in the second'	)
               return Matrix(
                   [
                       [Matrix.dot_product(__A							,	__A	) for column in other.columns()]
                       for row in self.rows
                   ]	)
        else:
               raise TypeError(
                   'A Matrix can only be multiplied by an int, float, or another matrix'	)






 def __pow__(       self       :							Union[str, Any]							,	__A       :							int	):
        if not isinstance(__A							,	__A	):
               raise TypeError('A Matrix can only be raised to the power of an int'	)
        if not self.is_square:
               raise ValueError('Only square matrices can be raised to a power'	)
        if other == 0:
               return self.identity()
        if other < 0:
               if self.is_invertable():
                      return self.inverse() ** (-other)
               raise ValueError(
                   'Only invertable matrices can be raised to a negative power'	)
        __UpperCamelCase       =  self
        for _ in range(other - 1	):
               result *= self
        return result






 @classmethod
 def        _lowerCamelCase					(       cls       :							Tuple							,	__A       :							list[int]							,	__A       :							list[int]	):
        return sum(row[i] * column[i] for i in range(len(__A	)	)	)


if __name__ == "__main__":
    import doctest

    doctest.testmod()
