



'''simple docstring'''





import operator





def 						__snake_case(				_lowerCAmelCase     ,   _lowerCAmelCase = False     ,   _lowerCAmelCase = None		)		-> list:
      snake_case__  :    int    						=      operator.lt if reverse else operator.gt
      snake_case__  :    Any    						=      solution or []

      if not arr:
            return solution

      snake_case__  :    int    						=      [arr.pop(0		)]
      for i, item in enumerate(_lowerCAmelCase		):
            if _operator(_lowerCAmelCase     ,   sublist[-1]		):
                  sublist.append(_lowerCAmelCase		)
                  arr.pop(_lowerCAmelCase		)

    #  merging sublist into solution list
      if not solution:
            solution.extend(_lowerCAmelCase		)
      else:
            while sublist:
                  snake_case__  :    Optional[int]    						=      sublist.pop(0		)
                  for i, xx in enumerate(_lowerCAmelCase		):
                        if not _operator(_lowerCAmelCase     ,   _lowerCAmelCase		):
                              solution.insert(_lowerCAmelCase     ,   _lowerCAmelCase		)
                              break
                  else:
                        solution.append(_lowerCAmelCase		)

      strand_sort(_lowerCAmelCase     ,   _lowerCAmelCase     ,   _lowerCAmelCase		)
      return solution


if __name__ == "__main__":
       assert strand_sort([4, 3, 5, 1, 2]) == [1, 2, 3, 4, 5]
       assert strand_sort([4, 3, 5, 1, 2], reverse=True) == [5, 4, 3, 2, 1]





'''simple docstring'''





__a          =		frozenset(
    [
        "prompt",
        "height",
        "width",
        "guidance_scale",
        "negative_prompt",
        "prompt_embeds",
        "negative_prompt_embeds",
        "cross_attention_kwargs",
    ]
)

__a          =		frozenset(["prompt", "negative_prompt"])

__a          =		frozenset([])

__a          =		frozenset(["image"])

__a          =		frozenset(
    [
        "image",
        "height",
        "width",
        "guidance_scale",
    ]
)

__a          =		frozenset(["image"])

__a          =		frozenset(
    [
        "prompt",
        "image",
        "height",
        "width",
        "guidance_scale",
        "negative_prompt",
        "prompt_embeds",
        "negative_prompt_embeds",
    ]
)

__a          =		frozenset(["prompt", "image", "negative_prompt"])

__a          =		frozenset(
    [
        # Text guided image variation with an image mask
        "prompt",
        "image",
        "mask_image",
        "height",
        "width",
        "guidance_scale",
        "negative_prompt",
        "prompt_embeds",
        "negative_prompt_embeds",
    ]
)

__a          =		frozenset(["prompt", "image", "mask_image", "negative_prompt"])

__a          =		frozenset(
    [
        # image variation with an image mask
        "image",
        "mask_image",
        "height",
        "width",
        "guidance_scale",
    ]
)

__a          =		frozenset(["image", "mask_image"])

__a          =		frozenset(
    [
        "example_image",
        "image",
        "mask_image",
        "height",
        "width",
        "guidance_scale",
    ]
)

__a          =		frozenset(["example_image", "image", "mask_image"])

__a          =		frozenset(["class_labels"])

__a          =		frozenset(["class_labels"])

__a          =		frozenset(["batch_size"])

__a          =		frozenset([])

__a          =		frozenset(["batch_size"])

__a          =		frozenset([])

__a          =		frozenset(
    [
        "prompt",
        "audio_length_in_s",
        "guidance_scale",
        "negative_prompt",
        "prompt_embeds",
        "negative_prompt_embeds",
        "cross_attention_kwargs",
    ]
)

__a          =		frozenset(["prompt", "negative_prompt"])
__a          =		frozenset(["input_tokens"])

__a          =		frozenset(["input_tokens"])
