





"""simple docstring"""
from __future__ import annotations



def      __lowerCamelCase   (							a_     :		list[int] ,   a_     :		int ,   a_     :		int ,   a_     :		int							)			->      None:
      if (direction == 1 and array[indexa] > array[indexa]) or (
          direction == 0 and array[indexa] < array[indexa]
      ):
            __SCREAMING_SNAKE_CASE				,__SCREAMING_SNAKE_CASE   :str						=  array[indexa], array[indexa]



def      __lowerCamelCase   (							a_     :		list[int] ,   a_     :		int ,   a_     :		int ,   a_     :		int							)			->      None:
      if length > 1:
            __SCREAMING_SNAKE_CASE   :Union[str, Any]						=  int(length / 2							)
            for i in range(a_ ,   low + middle							):
                  comp_and_swap(a_ ,   a_ ,   i + middle ,   a_							)
            bitonic_merge(a_ ,   a_ ,   a_ ,   a_							)
            bitonic_merge(a_ ,   low + middle ,   a_ ,   a_							)



def      __lowerCamelCase   (							a_     :		list[int] ,   a_     :		int ,   a_     :		int ,   a_     :		int							)			->      None:
      if length > 1:
            __SCREAMING_SNAKE_CASE   :str						=  int(length / 2							)
            bitonic_sort(a_ ,   a_ ,   a_ ,   1							)
            bitonic_sort(a_ ,   low + middle ,   a_ ,   0							)
            bitonic_merge(a_ ,   a_ ,   a_ ,   a_							)


if __name__ == "__main__":
  lowerCamelCase_								=		input("Enter numbers separated by a comma:\n").strip()
  lowerCamelCase_								=		[int(item.strip()) for item in user_input.split(",")]

  bitonic_sort(unsorted, 0, len(unsorted), 1)
  print("\nSorted array in ascending order is: ", end="")
  print(*unsorted, sep=", ")

  bitonic_merge(unsorted, 0, len(unsorted), 0)
  print("Sorted array in descending order is: ", end="")
  print(*unsorted, sep=", ")






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

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


lowerCamelCase_								=		{"configuration_dpt": ["DPT_PRETRAINED_CONFIG_ARCHIVE_MAP", "DPTConfig"]}

try:
  if not is_vision_available():
    raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
  pass
else:
  lowerCamelCase_								=		["DPTFeatureExtractor"]
  lowerCamelCase_								=		["DPTImageProcessor"]

try:
  if not is_torch_available():
    raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
  pass
else:
  lowerCamelCase_								=		[
      "DPT_PRETRAINED_MODEL_ARCHIVE_LIST",
      "DPTForDepthEstimation",
      "DPTForSemanticSegmentation",
      "DPTModel",
      "DPTPreTrainedModel",
  ]


if TYPE_CHECKING:
  from .configuration_dpt import DPT_PRETRAINED_CONFIG_ARCHIVE_MAP, DPTConfig

  try:
    if not is_vision_available():
      raise OptionalDependencyNotAvailable()
  except OptionalDependencyNotAvailable:
    pass
  else:
    from .feature_extraction_dpt import DPTFeatureExtractor
    from .image_processing_dpt import DPTImageProcessor

  try:
    if not is_torch_available():
      raise OptionalDependencyNotAvailable()
  except OptionalDependencyNotAvailable:
    pass
  else:
    from .modeling_dpt import (
        DPT_PRETRAINED_MODEL_ARCHIVE_LIST,
        DPTForDepthEstimation,
        DPTForSemanticSegmentation,
        DPTModel,
        DPTPreTrainedModel,
    )


else:
  import sys

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