




from __future__ import annotations







def SCREAMING_SNAKE_CASE    (	lowercase_			,    lowercase_						)       ->	list[tuple[int, int]]:



       """simple docstring"""

       A__			,							A__							=   position
       A__							=   [
           (y + 1, x + 2),
           (y - 1, x + 2),
           (y + 1, x - 2),
           (y - 1, x - 2),
           (y + 2, x + 1),
           (y + 2, x - 1),
           (y - 2, x + 1),
           (y - 2, x - 1),
       ]
       A__							=   []

       for position in positions:
              A__			,							A__							=   position
              if 0 <= y_test < n and 0 <= x_test < n:
                     permissible_positions.append(lowercase_						)

       return permissible_positions







def SCREAMING_SNAKE_CASE    (	lowercase_						)       ->	bool:



       """simple docstring"""

       return not any(elem == 0 for row in board for elem in row						)







def SCREAMING_SNAKE_CASE    (	lowercase_			,    lowercase_			,    lowercase_						)       ->	bool:



       """simple docstring"""

       if is_complete(lowercase_						):
              return True

       for position in get_valid_pos(lowercase_			,    len(lowercase_						)						):
              A__			,							A__							=   position

              if board[y][x] == 0:
                     A__							=   curr + 1
                     if open_knight_tour_helper(lowercase_			,    lowercase_			,    curr + 1						):
                            return True
                     A__							=   0

       return False







def SCREAMING_SNAKE_CASE    (	lowercase_						)       ->	list[list[int]]:



       """simple docstring"""

       A__							=   [[0 for i in range(lowercase_						)] for j in range(lowercase_						)]

       for i in range(lowercase_						):
              for j in range(lowercase_						):
                     A__							=   1
                     if open_knight_tour_helper(lowercase_			,    (i, j)			,    1						):
                            return board
                     A__							=   0

       A__							=   f"""Open Kight Tour cannot be performed on a board of size {n}"""
       raise ValueError(lowercase_						)


if __name__ == "__main__":
  import doctest

  doctest.testmod()








from typing import TYPE_CHECKING

# rely on isort to merge the imports
from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available


_lowerCamelCase     :		str								=       {"""configuration_focalnet""": ["""FOCALNET_PRETRAINED_CONFIG_ARCHIVE_MAP""", """FocalNetConfig"""]}


try:
  if not is_torch_available():
    raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
  pass
else:
  _lowerCamelCase     :		Dict								=       [
      """FOCALNET_PRETRAINED_MODEL_ARCHIVE_LIST""",
      """FocalNetForImageClassification""",
      """FocalNetForMaskedImageModeling""",
      """FocalNetBackbone""",
      """FocalNetModel""",
      """FocalNetPreTrainedModel""",
  ]

if TYPE_CHECKING:
  from .configuration_focalnet import FOCALNET_PRETRAINED_CONFIG_ARCHIVE_MAP, FocalNetConfig

  try:
    if not is_torch_available():
      raise OptionalDependencyNotAvailable()
  except OptionalDependencyNotAvailable:
    pass
  else:
    from .modeling_focalnet import (
        FOCALNET_PRETRAINED_MODEL_ARCHIVE_LIST,
        FocalNetBackbone,
        FocalNetForImageClassification,
        FocalNetForMaskedImageModeling,
        FocalNetModel,
        FocalNetPreTrainedModel,
    )

else:
  import sys

  _lowerCamelCase     :		Tuple								=       _LazyModule(__name__, globals()["""__file__"""], _import_structure, module_spec=__spec__)


