


import json
from typing import TYPE_CHECKING, List, Optional, Tuple

from tokenizers import pre_tokenizers

from ...tokenization_utils_base import BatchEncoding
from ...tokenization_utils_fast import PreTrainedTokenizerFast
from ...utils import logging


if TYPE_CHECKING:
 from transformers.pipelines.conversational import Conversation


SCREAMING_SNAKE_CASE__					:     Dict       =     logging.get_logger(__name__)

SCREAMING_SNAKE_CASE__					:     Union[str, Any]       =     {'''tokenizer_file''': '''tokenizer.json'''}

SCREAMING_SNAKE_CASE__					:     List[Any]       =     {
    '''tokenizer_file''': {
        '''bigscience/tokenizer''': '''https://huggingface.co/bigscience/tokenizer/blob/main/tokenizer.json''',
        '''bigscience/bloom-560m''': '''https://huggingface.co/bigscience/bloom-560m/blob/main/tokenizer.json''',
        '''bigscience/bloom-1b1''': '''https://huggingface.co/bigscience/bloom-1b1/blob/main/tokenizer.json''',
        '''bigscience/bloom-1b7''': '''https://huggingface.co/bigscience/bloom-1b7/blob/main/tokenizer.json''',
        '''bigscience/bloom-3b''': '''https://huggingface.co/bigscience/bloom-3b/blob/main/tokenizer.json''',
        '''bigscience/bloom-7b1''': '''https://huggingface.co/bigscience/bloom-7b1/blob/main/tokenizer.json''',
        '''bigscience/bloom''': '''https://huggingface.co/bigscience/bloom/blob/main/tokenizer.json''',
    },
}


class 		_SCREAMING_SNAKE_CASE     (						__snake_case     ):
     __SCREAMING_SNAKE_CASE     					=    VOCAB_FILES_NAMES
     __SCREAMING_SNAKE_CASE     					=    PRETRAINED_VOCAB_FILES_MAP
     __SCREAMING_SNAKE_CASE     					=    ['''input_ids''', '''attention_mask''']
     __SCREAMING_SNAKE_CASE     					=    None


     def __init__(  self							,					A_=None							,					A_=None							,					A_=None							,					A_="<unk>"							,					A_="<s>"							,					A_="</s>"							,					A_="<pad>"							,					A_=False							,					A_=False							,					**A_							,					):
       super().__init__(
           _SCREAMING_SNAKE_CASE							,					_SCREAMING_SNAKE_CASE							,					tokenizer_file=_SCREAMING_SNAKE_CASE							,					unk_token=_SCREAMING_SNAKE_CASE							,					bos_token=_SCREAMING_SNAKE_CASE							,					eos_token=_SCREAMING_SNAKE_CASE							,					pad_token=_SCREAMING_SNAKE_CASE							,					add_prefix_space=_SCREAMING_SNAKE_CASE							,					clean_up_tokenization_spaces=_SCREAMING_SNAKE_CASE							,					**_SCREAMING_SNAKE_CASE							,					)
       _UpperCAmelCase		:							Optional[int]							=     json.loads(self.backend_tokenizer.pre_tokenizer.__getstate__()    )
       if pre_tok_state.get("""add_prefix_space"""							,					_SCREAMING_SNAKE_CASE    ) != add_prefix_space:
         _UpperCAmelCase		:							Dict							=     getattr(_SCREAMING_SNAKE_CASE							,					pre_tok_state.pop("""type"""    )    )
         _UpperCAmelCase		:							Dict							=     add_prefix_space
         _UpperCAmelCase		:							Optional[int]							=     pre_tok_class(**_SCREAMING_SNAKE_CASE    )

       _UpperCAmelCase		:							Union[str, Any]							=     add_prefix_space


     def        __snake_case(  self							,					*A_							,					**A_    ):
       _UpperCAmelCase		:							str							=     kwargs.get("""is_split_into_words"""							,					_SCREAMING_SNAKE_CASE    )
       if not (self.add_prefix_space or not is_split_into_words):
         raise Exception(
             F'''You need to instantiate {self.__class__.__name__} with add_prefix_space=True to use it with'''
             """ pretokenized inputs."""    )

       return super()._batch_encode_plus(*_SCREAMING_SNAKE_CASE							,					**_SCREAMING_SNAKE_CASE    )


     def        __snake_case(  self							,					*A_							,					**A_    ):
       _UpperCAmelCase		:							List[Any]							=     kwargs.get("""is_split_into_words"""							,					_SCREAMING_SNAKE_CASE    )

       if not (self.add_prefix_space or not is_split_into_words):
         raise Exception(
             F'''You need to instantiate {self.__class__.__name__} with add_prefix_space=True to use it with'''
             """ pretokenized inputs."""    )

       return super()._encode_plus(*_SCREAMING_SNAKE_CASE							,					**_SCREAMING_SNAKE_CASE    )


     def        __snake_case(  self							,					A_							,					A_ = None    ):
       _UpperCAmelCase		:							Tuple							=     self._tokenizer.model.save(_SCREAMING_SNAKE_CASE							,					name=_SCREAMING_SNAKE_CASE    )
       return tuple(_SCREAMING_SNAKE_CASE    )




     def        __snake_case(  self							,					A_    ):
       _UpperCAmelCase		:							List[str]							=     []
       for is_user, text in conversation.iter_texts():
         input_ids.extend(self.encode(_SCREAMING_SNAKE_CASE							,					add_special_tokens=_SCREAMING_SNAKE_CASE    ) + [self.eos_token_id]    )

       if len(_SCREAMING_SNAKE_CASE    ) > self.model_max_length:
         _UpperCAmelCase		:							Dict							=     input_ids[-self.model_max_length :]
       return input_ids













from __future__ import annotations

import math
def 		lowercase__  (				_UpperCamelCase       ,							_UpperCamelCase) ->			list:
      """simple docstring"""

      if len(_UpperCamelCase) != 2 or len(a[0]) != 2 or len(_UpperCamelCase) != 2 or len(b[0]) != 2:
            raise Exception('Matrices are not 2x2')
      UpperCamelCase					       =  [
          [a[0][0] * b[0][0] + a[0][1] * b[1][0], a[0][0] * b[0][1] + a[0][1] * b[1][1]],
          [a[1][0] * b[0][0] + a[1][1] * b[1][0], a[1][0] * b[0][1] + a[1][1] * b[1][1]],
      ]
      return new_matrix
def 		lowercase__  (				_UpperCamelCase       ,							_UpperCamelCase) ->			Union[str, Any]:
      """simple docstring"""

      return [
          [matrix_a[row][col] + matrix_b[row][col] for col in range(len(matrix_a[row]))]
          for row in range(len(_UpperCamelCase))
      ]
def 		lowercase__  (				_UpperCamelCase       ,							_UpperCamelCase) ->			Optional[int]:
      """simple docstring"""

      return [
          [matrix_a[row][col] - matrix_b[row][col] for col in range(len(matrix_a[row]))]
          for row in range(len(_UpperCamelCase))
      ]
def 		lowercase__  (				_UpperCamelCase) ->			tuple[list, list, list, list]:
      """simple docstring"""

      if len(_UpperCamelCase) % 2 != 0 or len(a[0]) % 2 != 0:
            raise Exception('Odd matrices are not supported!')

      UpperCamelCase					       =  len(_UpperCamelCase)
      UpperCamelCase					       =  matrix_length // 2

      UpperCamelCase					       =  [[a[i][j] for j in range(_UpperCamelCase       ,							_UpperCamelCase)] for i in range(_UpperCamelCase)]
      UpperCamelCase					       =  [
          [a[i][j] for j in range(_UpperCamelCase       ,							_UpperCamelCase)] for i in range(_UpperCamelCase       ,							_UpperCamelCase)
      ]

      UpperCamelCase					       =  [[a[i][j] for j in range(_UpperCamelCase)] for i in range(_UpperCamelCase)]
      UpperCamelCase					       =  [[a[i][j] for j in range(_UpperCamelCase)] for i in range(_UpperCamelCase       ,							_UpperCamelCase)]

      return top_left, top_right, bot_left, bot_right
def 		lowercase__  (				_UpperCamelCase) ->			tuple[int, int]:
      """simple docstring"""

      return len(_UpperCamelCase), len(matrix[0])
def 		lowercase__  (				_UpperCamelCase) ->			None:
      """simple docstring"""

      print('\n'.join(str(_UpperCamelCase) for line in matrix))
def 		lowercase__  (				_UpperCamelCase       ,							_UpperCamelCase) ->			list:
      """simple docstring"""

      if matrix_dimensions(_UpperCamelCase) == (2, 2):
            return default_matrix_multiplication(_UpperCamelCase       ,							_UpperCamelCase)

      UpperCamelCase       ,  UpperCamelCase       ,  UpperCamelCase       ,  UpperCamelCase					       =  split_matrix(_UpperCamelCase)
      UpperCamelCase       ,  UpperCamelCase       ,  UpperCamelCase       ,  UpperCamelCase					       =  split_matrix(_UpperCamelCase)

      UpperCamelCase					       =  actual_strassen(_UpperCamelCase       ,							matrix_subtraction(_UpperCamelCase       ,							_UpperCamelCase))
      UpperCamelCase					       =  actual_strassen(matrix_addition(_UpperCamelCase       ,							_UpperCamelCase)       ,							_UpperCamelCase)
      UpperCamelCase					       =  actual_strassen(matrix_addition(_UpperCamelCase       ,							_UpperCamelCase)       ,							_UpperCamelCase)
      UpperCamelCase					       =  actual_strassen(_UpperCamelCase       ,							matrix_subtraction(_UpperCamelCase       ,							_UpperCamelCase))
      UpperCamelCase					       =  actual_strassen(matrix_addition(_UpperCamelCase       ,							_UpperCamelCase)       ,							matrix_addition(_UpperCamelCase       ,							_UpperCamelCase))
      UpperCamelCase					       =  actual_strassen(matrix_subtraction(_UpperCamelCase       ,							_UpperCamelCase)       ,							matrix_addition(_UpperCamelCase       ,							_UpperCamelCase))
      UpperCamelCase					       =  actual_strassen(matrix_subtraction(_UpperCamelCase       ,							_UpperCamelCase)       ,							matrix_addition(_UpperCamelCase       ,							_UpperCamelCase))

      UpperCamelCase					       =  matrix_addition(matrix_subtraction(matrix_addition(_UpperCamelCase       ,							_UpperCamelCase)       ,							_UpperCamelCase)       ,							_UpperCamelCase)
      UpperCamelCase					       =  matrix_addition(_UpperCamelCase       ,							_UpperCamelCase)
      UpperCamelCase					       =  matrix_addition(_UpperCamelCase       ,							_UpperCamelCase)
      UpperCamelCase					       =  matrix_subtraction(matrix_subtraction(matrix_addition(_UpperCamelCase       ,							_UpperCamelCase)       ,							_UpperCamelCase)       ,							_UpperCamelCase)

      # construct the new matrix from our 4 quadrants
      UpperCamelCase					       =  []
      for i in range(len(_UpperCamelCase)):
            new_matrix.append(top_left[i] + top_right[i])
      for i in range(len(_UpperCamelCase)):
            new_matrix.append(bot_left[i] + bot_right[i])
      return new_matrix
def 		lowercase__  (				_UpperCamelCase       ,							_UpperCamelCase) ->			list:
      """simple docstring"""

      if matrix_dimensions(_UpperCamelCase)[1] != matrix_dimensions(_UpperCamelCase)[0]:
            UpperCamelCase					       =  (
                'Unable to multiply these matrices, please check the dimensions.\n'
                F'Matrix A: {matrixa}\n'
                F'Matrix B: {matrixa}'
            )
            raise Exception(_UpperCamelCase)
      UpperCamelCase					       =  matrix_dimensions(_UpperCamelCase)
      UpperCamelCase					       =  matrix_dimensions(_UpperCamelCase)

      if dimensiona[0] == dimensiona[1] and dimensiona[0] == dimensiona[1]:
            return [matrixa, matrixa]

      UpperCamelCase					       =  max(*_UpperCamelCase       ,							*_UpperCamelCase)
      UpperCamelCase					       =  int(math.pow(2       ,							math.ceil(math.loga(_UpperCamelCase))))
      UpperCamelCase					       =  matrixa
      UpperCamelCase					       =  matrixa

      # Adding zeros to the matrices so that the arrays dimensions are the same and also
      # power of 2
      for i in range(0       ,							_UpperCamelCase):
            if i < dimensiona[0]:
                  for _ in range(dimensiona[1]       ,							_UpperCamelCase):
                        new_matrixa[i].append(0)
            else:
                  new_matrixa.append([0] * maxim)
            if i < dimensiona[0]:
                  for _ in range(dimensiona[1]       ,							_UpperCamelCase):
                        new_matrixa[i].append(0)
            else:
                  new_matrixa.append([0] * maxim)

      UpperCamelCase					       =  actual_strassen(_UpperCamelCase       ,							_UpperCamelCase)

      # Removing the additional zeros
      for i in range(0       ,							_UpperCamelCase):
            if i < dimensiona[0]:
                  for _ in range(dimensiona[1]       ,							_UpperCamelCase):
                        final_matrix[i].pop()
            else:
                  final_matrix.pop()
      return final_matrix


if __name__ == "__main__":
       __magic_name__   :  Optional[Any]        =							[
           [2, 3, 4, 5],
           [6, 4, 3, 1],
           [2, 3, 6, 7],
           [3, 1, 2, 4],
           [2, 3, 4, 5],
           [6, 4, 3, 1],
           [2, 3, 6, 7],
           [3, 1, 2, 4],
           [2, 3, 4, 5],
           [6, 2, 3, 1],
       ]
       __magic_name__   :  List[str]        =							[[0, 2, 1, 1], [16, 2, 3, 3], [2, 2, 7, 7], [13, 11, 22, 4]]
       print(strassen(matrixa, matrixa))



