






from __future__ import annotations




def       snake_case  (A_				:Dict     ,      A_				:Optional[int]				):







  '''simple docstring'''

  a,					a					:      str    =       position
  a					:      str    =       [
      (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					:      List[Any]    =       []

  for position in positions:
    a,					a					:      Any    =       position
    if 0 <= y_test < n and 0 <= x_test < n:
      permissible_positions.append(a__				)

  return permissible_positions




def       snake_case  (A_				:str				):







  '''simple docstring'''

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




def       snake_case  (A_				:Union[str, Any]     ,      A_				:int     ,      A_				:List[str]				):







  '''simple docstring'''

  if is_complete(a__				):
    return True

  for position in get_valid_pos(a__     ,      len(a__				)				):
    a,					a					:      Union[str, Any]    =       position

    if board[y][x] == 0:
      a					:      Tuple    =       curr + 1
      if open_knight_tour_helper(a__     ,      a__     ,      curr + 1				):
        return True
      a					:      Tuple    =       0

  return False




def       snake_case  (A_				:Optional[int]				):







  '''simple docstring'''

  a					:      Tuple    =       [[0 for i in range(a__				)] for j in range(a__				)]

  for i in range(a__				):
    for j in range(a__				):
      a					:      List[str]    =       1
      if open_knight_tour_helper(a__     ,      (i, j)     ,      1				):
        return board
      a					:      Optional[Any]    =       0

  a					:      List[str]    =       f'''Open Kight Tour cannot be performed on a board of size {n}'''
  raise ValueError(a__				)


if __name__ == "__main__":
   import doctest

   doctest.testmod()












"""simple docstring"""


from typing import TYPE_CHECKING

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


_UpperCamelCase    :   Optional[int]   			=						{
    'configuration_rag': ['RagConfig'],
    'retrieval_rag': ['RagRetriever'],
    'tokenization_rag': ['RagTokenizer'],
}

try:
   if not is_torch_available():
      raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
   pass
else:
   _UpperCamelCase    :   Dict   			=						[
       'RagModel',
       'RagPreTrainedModel',
       'RagSequenceForGeneration',
       'RagTokenForGeneration',
   ]

try:
   if not is_tf_available():
      raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
   pass
else:
   _UpperCamelCase    :   Optional[int]   			=						[
       'TFRagModel',
       'TFRagPreTrainedModel',
       'TFRagSequenceForGeneration',
       'TFRagTokenForGeneration',
   ]


if TYPE_CHECKING:
   from .configuration_rag import RagConfig
   from .retrieval_rag import RagRetriever
   from .tokenization_rag import RagTokenizer

   try:
      if not is_torch_available():
         raise OptionalDependencyNotAvailable()
   except OptionalDependencyNotAvailable:
      pass
   else:
      from .modeling_rag import RagModel, RagPreTrainedModel, RagSequenceForGeneration, RagTokenForGeneration

   try:
      if not is_tf_available():
         raise OptionalDependencyNotAvailable()
   except OptionalDependencyNotAvailable:
      pass
   else:
      from .modeling_tf_rag import (
          TFRagModel,
          TFRagPreTrainedModel,
          TFRagSequenceForGeneration,
          TFRagTokenForGeneration,
      )

else:
   import sys

   _UpperCamelCase    :   int   			=						_LazyModule(__name__, globals()['__file__'], _import_structure, module_spec=__spec__)




