"""simple docstring"""







from typing import Optional, Union

from ...file_utils import TensorType
from ...processing_utils import ProcessorMixin
from ...tokenization_utils_base import BatchEncoding, PaddingStrategy, TruncationStrategy

class 						UpperCamelCase     (       a__		):
				UpperCAmelCase							: List[str]       =						"""MarkupLMFeatureExtractor"""
				UpperCAmelCase							: List[Any]       =						("""MarkupLMTokenizer""", """MarkupLMTokenizerFast""")
				UpperCAmelCase							: Dict       =						True



				def __call__(self							: str      ,    _A							: Tuple=None      ,    _A							: Optional[int]=None      ,    _A							: int=None      ,    _A							: int=None      ,    _A							: Any=None      ,    _A							: bool = True      ,    _A							: Union[bool, str, PaddingStrategy] = False      ,    _A							: Union[bool, str, TruncationStrategy] = None      ,    _A							: Optional[int] = None      ,    _A							: int = 0      ,    _A							: Optional[int] = None      ,    _A							: Optional[bool] = None      ,    _A							: Optional[bool] = None      ,    _A							: bool = False      ,    _A							: bool = False      ,    _A							: bool = False      ,    _A							: bool = False      ,    _A							: bool = True      ,    _A							: Optional[Union[str, TensorType]] = None      ,    **_A							: str      ,    )       ->      List[str]:
					# first, create nodes and xpaths
					if self.parse_html:
						if html_strings is None:
							raise ValueError('Make sure to pass HTML strings in case `parse_html` is set to `True`')

						if nodes is not None or xpaths is not None or node_labels is not None:
							raise ValueError(
							    'Please don\'t pass nodes, xpaths nor node labels in case `parse_html` is set to `True`')

						__snake_case     :				List[str] 						=					self.feature_extractor(lowercase__)
						__snake_case     :				Optional[Any] 						=					features['nodes']
						__snake_case     :				Union[str, Any] 						=					features['xpaths']
					else:
						if html_strings is not None:
							raise ValueError('You have passed HTML strings but `parse_html` is set to `False`.')
						if nodes is None or xpaths is None:
							raise ValueError('Make sure to pass nodes and xpaths in case `parse_html` is set to `False`')

        # # second, apply the tokenizer
					if questions is not None and self.parse_html:
						if isinstance(lowercase__      ,    lowercase__):
							__snake_case     :				str 						=					[questions]  # add batch dimension (as the feature extractor always adds a batch dimension)

					__snake_case     :				Union[str, Any] 						=					self.tokenizer(
					    text=questions if questions is not None else nodes      ,    text_pair=nodes if questions is not None else None      ,    xpaths=lowercase__      ,    node_labels=lowercase__      ,    add_special_tokens=lowercase__      ,    padding=lowercase__      ,    truncation=lowercase__      ,    max_length=lowercase__      ,    stride=lowercase__      ,    pad_to_multiple_of=lowercase__      ,    return_token_type_ids=lowercase__      ,    return_attention_mask=lowercase__      ,    return_overflowing_tokens=lowercase__      ,    return_special_tokens_mask=lowercase__      ,    return_offsets_mapping=lowercase__      ,    return_length=lowercase__      ,    verbose=lowercase__      ,    return_tensors=lowercase__      ,    **lowercase__      ,    )

					return encoded_inputs



				def    _lowercase	(self							: Dict      ,    *_A							: Tuple      ,    **_A							: Optional[int])       ->      Optional[Any]:
					return self.tokenizer.batch_decode(*lowercase__      ,    **lowercase__)



				def    _lowercase	(self							: Dict      ,    *_A							: Union[str, Any]      ,    **_A							: List[Any])       ->      Tuple:
					return self.tokenizer.decode(*lowercase__      ,    **lowercase__)






				@property
				def    _lowercase	(self							: int)       ->      str:
					__snake_case     :				List[str] 						=					self.tokenizer.model_input_names
					return tokenizer_input_names











from __future__ import annotations

from typing import Any






def 				UpperCAmelCase__  (							*_A			):






  """simple docstring"""


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






def 				UpperCAmelCase__  (							_A      ,      _A			):






  """simple docstring"""


  if (
      _check_not_integer(_A			)
      and _check_not_integer(_A			)
      and _verify_matrix_sizes(_A      ,      _A			)
  ):
    return [[i - j for i, j in zip(*_A			)] for m in zip(_A      ,      _A			)]
  raise TypeError('''Expected a matrix, got int/list instead'''			)






def 				UpperCAmelCase__  (							_A      ,      _A			):






  """simple docstring"""


  return [[x * n for x in row] for row in matrix]






def 				UpperCAmelCase__  (							_A      ,      _A			):






  """simple docstring"""


  if _check_not_integer(_A			) and _check_not_integer(_A			):
    a_    , a_		    =  _verify_matrix_sizes(_A      ,      _A			)

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






def 				UpperCAmelCase__  (							_A			):






  """simple docstring"""


  a_		    =  int(_A			)
  return [[int(row == column			) for column in range(_A			)] for row in range(_A			)]






def 				UpperCAmelCase__  (							_A      ,      _A = True			):






  """simple docstring"""


  if _check_not_integer(_A			):
    if return_map:
      return map(_A      ,      zip(*_A			)			)
    else:
      return list(map(_A      ,      zip(*_A			)			)			)
  raise TypeError('''Expected a matrix, got int/list instead'''			)






def 				UpperCAmelCase__  (							_A      ,      _A      ,      _A			):






  """simple docstring"""


  a_		    =  matrix[:row] + matrix[row + 1 :]
  return [row[:column] + row[column + 1 :] for row in minor]






def 				UpperCAmelCase__  (							_A			):






  """simple docstring"""


  if len(_A			) == 1:
    return matrix[0][0]

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






def 				UpperCAmelCase__  (							_A			):






  """simple docstring"""


  a_		    =  determinant(_A			)
  if det == 0:
    return None

  a_		    =  [
      [determinant(minor(_A      ,      _A      ,      _A			)			) for j in range(len(_A			)			)]
      for i in range(len(_A			)			)
  ]

  a_		    =  [
      [x * (-1) ** (row + col) for col, x in enumerate(matrix_minor[row]			)]
      for row in range(len(_A			)			)
  ]
  a_		    =  list(transpose(_A			)			)
  return scalar_multiply(_A      ,      1 / det			)






def 				UpperCAmelCase__  (							_A			):






  """simple docstring"""


  return not isinstance(_A      ,      _A			) and not isinstance(matrix[0]      ,      _A			)






def 				UpperCAmelCase__  (							_A			):






  """simple docstring"""


  return len(_A			), len(matrix[0]			)






def 				UpperCAmelCase__  (							_A      ,      _A			):






  """simple docstring"""


  a_		    =  _shape(_A			) + _shape(_A			)
  if shape[0] != shape[3] or shape[1] != shape[2]:
    a_		    =  (
        '''operands could not be broadcast together with shape '''
        f"({shape[0], shape[1]}), ({shape[2], shape[3]})"
    )
    raise ValueError(_A			)
  return (shape[0], shape[2]), (shape[1], shape[3])






def 				UpperCAmelCase__  (							):






  """simple docstring"""


  a_		    =  [[12, 10], [3, 9]]
  a_		    =  [[3, 4], [7, 4]]
  a_		    =  [[11, 12, 13, 14], [21, 22, 23, 24], [31, 32, 33, 34], [41, 42, 43, 44]]
  a_		    =  [[3, 0, 2], [2, 0, -2], [0, 1, 1]]
  print(f"Add Operation, {add(_A      ,      _A			) = } \n"			)
  print(
      f"Multiply Operation, {multiply(_A      ,      _A			) = } \n"      ,      )
  print(f"Identity: {identity(5			)}\n"			)
  print(f"Minor of {matrix_c} = {minor(_A      ,      1      ,      2			)} \n"			)
  print(f"Determinant of {matrix_b} = {determinant(_A			)} \n"			)
  print(f"Inverse of {matrix_d} = {inverse(_A			)}\n"			)


if __name__ == "__main__":
  import doctest

  doctest.testmod()
  main()
