

"""simple docstring"""
def       UpperCamelCase_					(     lowerCamelCase							:					int     , lowerCamelCase							:					int     , lowerCamelCase							:					int     , lowerCamelCase							:					int   )						->     int:



       """simple docstring"""







       return len_board * len_board_column * row + column







def       UpperCamelCase_					(     lowerCamelCase							:					list[list[str]]     , lowerCamelCase							:					str     , lowerCamelCase							:					int     , lowerCamelCase							:					int     , lowerCamelCase							:					int     , lowerCamelCase							:					set[int]     , )						->     bool:



       """simple docstring"""







       if board[row][column] != word[word_index]:
              return False

       if word_index == len(lowerCamelCase   ) - 1:
              return True

       __magic_name__			:		Any        =     [(0, 1), (0, -1), (-1, 0), (1, 0)]
       __magic_name__			:		Optional[Any]        =     len(lowerCamelCase   )
       __magic_name__			:		List[Any]        =     len(board[0]   )
       for direction in traverts_directions:
              __magic_name__			:		Optional[Any]        =     row + direction[0]
              __magic_name__			:		List[Any]        =     column + direction[1]
              if not (0 <= next_i < len_board and 0 <= next_j < len_board_column):
                     continue

              __magic_name__			:		List[Any]        =     get_point_key(lowerCamelCase     , lowerCamelCase     , lowerCamelCase     , lowerCamelCase   )
              if key in visited_points_set:
                     continue

              visited_points_set.add(lowerCamelCase   )
              if exits_word(lowerCamelCase     , lowerCamelCase     , lowerCamelCase     , lowerCamelCase     , word_index + 1     , lowerCamelCase   ):
                     return True

              visited_points_set.remove(lowerCamelCase   )

       return False







def       UpperCamelCase_					(     lowerCamelCase							:					list[list[str]]     , lowerCamelCase							:					str   )						->     bool:



       """simple docstring"""







       __magic_name__			:		Optional[int]        =     (
           '''The board should be a non empty matrix of single chars strings.'''
       )

       __magic_name__			:		Optional[Any]        =     len(lowerCamelCase   )
       if not isinstance(lowerCamelCase     , lowerCamelCase   ) or len(lowerCamelCase   ) == 0:
              raise ValueError(lowerCamelCase   )

       for row in board:
              if not isinstance(lowerCamelCase     , lowerCamelCase   ) or len(lowerCamelCase   ) == 0:
                     raise ValueError(lowerCamelCase   )

              for item in row:
                     if not isinstance(lowerCamelCase     , lowerCamelCase   ) or len(lowerCamelCase   ) != 1:
                            raise ValueError(lowerCamelCase   )

    # Validate word
       if not isinstance(lowerCamelCase     , lowerCamelCase   ) or len(lowerCamelCase   ) == 0:
              raise ValueError(
                  '''The word parameter should be a string of length greater than 0.'''   )

       __magic_name__			:		List[Any]        =     len(board[0]   )
       for i in range(lowerCamelCase   ):
              for j in range(lowerCamelCase   ):
                     if exits_word(
                         lowerCamelCase     , lowerCamelCase     , lowerCamelCase     , lowerCamelCase     , 0     , {get_point_key(lowerCamelCase     , lowerCamelCase     , lowerCamelCase     , lowerCamelCase   )}   ):
                            return True

       return False


if __name__ == "__main__":
 import doctest

 doctest.testmod()



"""simple docstring"""
from typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available, is_vision_available


A									=						{
    """configuration_imagegpt""": ["""IMAGEGPT_PRETRAINED_CONFIG_ARCHIVE_MAP""", """ImageGPTConfig""", """ImageGPTOnnxConfig"""]
}

try:
 if not is_vision_available():
  raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
 pass
else:
 A									=						["""ImageGPTFeatureExtractor"""]
 A									=						["""ImageGPTImageProcessor"""]

try:
 if not is_torch_available():
  raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
 pass
else:
 A									=						[
     """IMAGEGPT_PRETRAINED_MODEL_ARCHIVE_LIST""",
     """ImageGPTForCausalImageModeling""",
     """ImageGPTForImageClassification""",
     """ImageGPTModel""",
     """ImageGPTPreTrainedModel""",
     """load_tf_weights_in_imagegpt""",
 ]


if TYPE_CHECKING:
 from .configuration_imagegpt import IMAGEGPT_PRETRAINED_CONFIG_ARCHIVE_MAP, ImageGPTConfig, ImageGPTOnnxConfig

 try:
  if not is_vision_available():
   raise OptionalDependencyNotAvailable()
 except OptionalDependencyNotAvailable:
  pass
 else:
  from .feature_extraction_imagegpt import ImageGPTFeatureExtractor
  from .image_processing_imagegpt import ImageGPTImageProcessor

 try:
  if not is_torch_available():
   raise OptionalDependencyNotAvailable()
 except OptionalDependencyNotAvailable:
  pass
 else:
  from .modeling_imagegpt import (
      IMAGEGPT_PRETRAINED_MODEL_ARCHIVE_LIST,
      ImageGPTForCausalImageModeling,
      ImageGPTForImageClassification,
      ImageGPTModel,
      ImageGPTPreTrainedModel,
      load_tf_weights_in_imagegpt,
  )

else:
 import sys

 A									=						_LazyModule(__name__, globals()["""__file__"""], _import_structure, module_spec=__spec__)
