

from __future__ import annotations

from typing import Any





def  _snake_case		(*snake_case_					:     Optional[int]  )							->		list[list[int]]:
  if all(_check_not_integer(SCREAMING_SNAKE_CASE_  ) for m in matrix_s  ):
    for i in matrix_s[1:]:
      _verify_matrix_sizes(matrix_s[0]    ,       SCREAMING_SNAKE_CASE_  )
    return [[sum(SCREAMING_SNAKE_CASE_  ) for t in zip(*SCREAMING_SNAKE_CASE_  )] for m in zip(*SCREAMING_SNAKE_CASE_  )]
  raise TypeError('Expected a matrix, got int/list instead'  )





def  _snake_case		(snake_case_					:     Dict    ,       snake_case_					:     Optional[Any]  )							->		list[list[int]]:
  if (
      _check_not_integer(SCREAMING_SNAKE_CASE_  )
      and _check_not_integer(SCREAMING_SNAKE_CASE_  )
      and _verify_matrix_sizes(SCREAMING_SNAKE_CASE_    ,       SCREAMING_SNAKE_CASE_  )
  ):
    return [[i - j for i, j in zip(*SCREAMING_SNAKE_CASE_  )] for m in zip(SCREAMING_SNAKE_CASE_    ,       SCREAMING_SNAKE_CASE_  )]
  raise TypeError('Expected a matrix, got int/list instead'  )





def  _snake_case		(snake_case_					:     List[str]    ,       snake_case_					:     Optional[Any]  )							->		list[list[float]]:
  return [[x * n for x in row] for row in matrix]





def  _snake_case		(snake_case_					:     List[str]    ,       snake_case_					:     Optional[Any]  )							->		list[list[int]]:
  if _check_not_integer(SCREAMING_SNAKE_CASE_  ) and _check_not_integer(SCREAMING_SNAKE_CASE_  ):
    __UpperCAmelCase	:  Optional[int]		=     _verify_matrix_sizes(SCREAMING_SNAKE_CASE_    ,       SCREAMING_SNAKE_CASE_  )

  if cols[0] != rows[1]:
    __UpperCAmelCase	:  Optional[int]		=     (
        '''Cannot multiply matrix of dimensions '''
        F"({rows[0]},{cols[0]}) and ({rows[1]},{cols[1]})"
    )
    raise ValueError(SCREAMING_SNAKE_CASE_  )
  return [
      [sum(m * n for m, n in zip(SCREAMING_SNAKE_CASE_    ,       SCREAMING_SNAKE_CASE_  )  ) for j in zip(*SCREAMING_SNAKE_CASE_  )] for i in matrix_a
  ]





def  _snake_case		(snake_case_					:     Optional[int]  )							->		list[list[int]]:
  __UpperCAmelCase	:  int		=     int(SCREAMING_SNAKE_CASE_  )
  return [[int(row == column  ) for column in range(SCREAMING_SNAKE_CASE_  )] for row in range(SCREAMING_SNAKE_CASE_  )]





def  _snake_case		(snake_case_					:     Optional[int]    ,       snake_case_					:     Tuple = True  )							->		list[list[int]] | map[list[int]]:
  if _check_not_integer(SCREAMING_SNAKE_CASE_  ):
    if return_map:
      return map(SCREAMING_SNAKE_CASE_    ,       zip(*SCREAMING_SNAKE_CASE_  )  )
    else:
      return list(map(SCREAMING_SNAKE_CASE_    ,       zip(*SCREAMING_SNAKE_CASE_  )  )  )
  raise TypeError('Expected a matrix, got int/list instead'  )





def  _snake_case		(snake_case_					:     Optional[int]    ,       snake_case_					:     Dict    ,       snake_case_					:     Tuple  )							->		list[list[int]]:
  __UpperCAmelCase	:  Any		=     matrix[:row] + matrix[row + 1 :]
  return [row[:column] + row[column + 1 :] for row in minor]





def  _snake_case		(snake_case_					:     Any  )							->		Any:
  if len(SCREAMING_SNAKE_CASE_  ) == 1:
    return matrix[0][0]

  return sum(
      x * determinant(minor(SCREAMING_SNAKE_CASE_    ,       0    ,       SCREAMING_SNAKE_CASE_  )  ) * (-1) ** i
      for i, x in enumerate(matrix[0]  )  )





def  _snake_case		(snake_case_					:     Tuple  )							->		list[list[float]] | None:
  __UpperCAmelCase	:  Optional[int]		=     determinant(SCREAMING_SNAKE_CASE_  )
  if det == 0:
    return None

  __UpperCAmelCase	:  Any		=     [
      [determinant(minor(SCREAMING_SNAKE_CASE_    ,       SCREAMING_SNAKE_CASE_    ,       SCREAMING_SNAKE_CASE_  )  ) for j in range(len(SCREAMING_SNAKE_CASE_  )  )]
      for i in range(len(SCREAMING_SNAKE_CASE_  )  )
  ]

  __UpperCAmelCase	:  int		=     [
      [x * (-1) ** (row + col) for col, x in enumerate(matrix_minor[row]  )]
      for row in range(len(SCREAMING_SNAKE_CASE_  )  )
  ]
  __UpperCAmelCase	:  Any		=     list(transpose(SCREAMING_SNAKE_CASE_  )  )
  return scalar_multiply(SCREAMING_SNAKE_CASE_    ,       1 / det  )





def  _snake_case		(snake_case_					:     Dict  )							->		bool:
  return not isinstance(SCREAMING_SNAKE_CASE_    ,       SCREAMING_SNAKE_CASE_  ) and not isinstance(matrix[0]    ,       SCREAMING_SNAKE_CASE_  )





def  _snake_case		(snake_case_					:     Dict  )							->		tuple[int, int]:
  return len(SCREAMING_SNAKE_CASE_  ), len(matrix[0]  )





def  _snake_case		(snake_case_					:     Dict    ,       snake_case_					:     List[Any]  )							->		tuple[tuple[int, int], tuple[int, int]]:
  __UpperCAmelCase	:  str		=     _shape(SCREAMING_SNAKE_CASE_  ) + _shape(SCREAMING_SNAKE_CASE_  )
  if shape[0] != shape[3] or shape[1] != shape[2]:
    __UpperCAmelCase	:  Optional[Any]		=     (
        '''operands could not be broadcast together with shape '''
        F"({shape[0], shape[1]}), ({shape[2], shape[3]})"
    )
    raise ValueError(SCREAMING_SNAKE_CASE_  )
  return (shape[0], shape[2]), (shape[1], shape[3])





def  _snake_case		()							->		None:
  __UpperCAmelCase	:  Tuple		=     [[12, 10], [3, 9]]
  __UpperCAmelCase	:  Dict		=     [[3, 4], [7, 4]]
  __UpperCAmelCase	:  Tuple		=     [[11, 12, 13, 14], [21, 22, 23, 24], [31, 32, 33, 34], [41, 42, 43, 44]]
  __UpperCAmelCase	:  List[Any]		=     [[3, 0, 2], [2, 0, -2], [0, 1, 1]]
  print(F"Add Operation, {add(SCREAMING_SNAKE_CASE_    ,       SCREAMING_SNAKE_CASE_  ) = } \n"  )
  print(
      F"Multiply Operation, {multiply(SCREAMING_SNAKE_CASE_    ,       SCREAMING_SNAKE_CASE_  ) = } \n"    ,       )
  print(F"Identity: {identity(5  )}\n"  )
  print(F"Minor of {matrix_c} = {minor(SCREAMING_SNAKE_CASE_    ,       1    ,       2  )} \n"  )
  print(F"Determinant of {matrix_b} = {determinant(SCREAMING_SNAKE_CASE_  )} \n"  )
  print(F"Inverse of {matrix_d} = {inverse(SCREAMING_SNAKE_CASE_  )}\n"  )


if __name__ == "__main__":
      import doctest

      doctest.testmod()
      main()












import sys

from transformers import AutoTokenizer


snake_case_				=      sys.argv[1]
snake_case_				=      sys.argv[2]
snake_case_				=      int(sys.argv[3])

snake_case_				=      0

snake_case_				=      AutoTokenizer.from_pretrained(model_name_or_path)
max_len -= tokenizer.num_special_tokens_to_add()

with open(dataset, '''rt''') as f_p:
				for line in f_p:
								snake_case_				=      line.rstrip()

								if not line:
												print(line)
												snake_case_				=      0
												continue

								snake_case_				=      line.split()[0]

								snake_case_				=      len(tokenizer.tokenize(token))

								# Token contains strange control characters like \x96 or \x95
								# Just filter out the complete line
								if current_subwords_len == 0:
												continue

								if (subword_len_counter + current_subwords_len) > max_len:
												print('''''')
												print(line)
												snake_case_				=      current_subwords_len
												continue

								subword_len_counter += current_subwords_len

								print(line)

