

"""simple docstring"""




from __future__ import annotations





def       lowercase__						(       snake_case_   :list[int]    ):  # This function is recursive
	__UpperCAmelCase      		= len(snake_case_    )
	# If the array contains only one element, we return it (it's the stop condition of
	# recursion)
	if array_length <= 1:
		return array
		# Else
	__UpperCAmelCase      		= array[0]
	__UpperCAmelCase      		= False
	__UpperCAmelCase      		= 1
	__UpperCAmelCase      		= []
	while not is_found and i < array_length:
		if array[i] < pivot:
			__UpperCAmelCase      		= True
			__UpperCAmelCase      		= [element for element in array[i:] if element >= array[i]]
			__UpperCAmelCase      		= longest_subsequence(snake_case_    )
			if len(snake_case_    ) > len(snake_case_    ):
				__UpperCAmelCase      		= temp_array
		else:
			i += 1

	__UpperCAmelCase      		= [element for element in array[1:] if element >= pivot]
	__UpperCAmelCase      		= [pivot, *longest_subsequence(snake_case_    )]
	if len(snake_case_    ) > len(snake_case_    ):
		return temp_array
	else:
		return longest_subseq


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


SCREAMING_SNAKE_CASE__							:      Union[str, Any]         =    {
    """configuration_autoformer""": [
        """AUTOFORMER_PRETRAINED_CONFIG_ARCHIVE_MAP""",
        """AutoformerConfig""",
    ],
}

try:
  if not is_torch_available():
    raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
  pass
else:
  SCREAMING_SNAKE_CASE__							:      Tuple         =    [
      """AUTOFORMER_PRETRAINED_MODEL_ARCHIVE_LIST""",
      """AutoformerForPrediction""",
      """AutoformerModel""",
      """AutoformerPreTrainedModel""",
  ]


if TYPE_CHECKING:
  from .configuration_autoformer import (
      AUTOFORMER_PRETRAINED_CONFIG_ARCHIVE_MAP,
      AutoformerConfig,
  )

  try:
    if not is_torch_available():
      raise OptionalDependencyNotAvailable()
  except OptionalDependencyNotAvailable:
    pass
  else:
    from .modeling_autoformer import (
        AUTOFORMER_PRETRAINED_MODEL_ARCHIVE_LIST,
        AutoformerForPrediction,
        AutoformerModel,
        AutoformerPreTrainedModel,
    )

else:
  import sys

  SCREAMING_SNAKE_CASE__							:      Any         =    _LazyModule(__name__, globals()["""__file__"""], _import_structure, module_spec=__spec__)

