






"""simple docstring"""







def        SCREAMING_SNAKE_CASE       (      lowerCamelCase_ ,     lowerCamelCase_):
     a__          =  len(lowerCamelCase_)
     a__          =  len(lowerCamelCase_)
     a__          =  (
         first_str_length if first_str_length > second_str_length else second_str_length
     )
     a__          =  []
     for char_count in range(lowerCamelCase_):
          if char_count < first_str_length:
               output_list.append(first_str[char_count])
          if char_count < second_str_length:
               output_list.append(second_str[char_count])
     return "".join(lowerCamelCase_)


if __name__ == "__main__":
 print(alternative_string_arrange('AB', 'XYZ'), end=' ')










"""simple docstring"""







__a       :	List[Any]             = frozenset(
    [
        'prompt',
        'height',
        'width',
        'guidance_scale',
        'negative_prompt',
        'prompt_embeds',
        'negative_prompt_embeds',
        'cross_attention_kwargs',
    ]
)

__a       :	Union[str, Any]             = frozenset(['prompt', 'negative_prompt'])

__a       :	Any             = frozenset([])

__a       :	Union[str, Any]             = frozenset(['image'])

__a       :	Dict             = frozenset(
    [
        'image',
        'height',
        'width',
        'guidance_scale',
    ]
)

__a       :	Dict             = frozenset(['image'])

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

__a       :	Optional[Any]             = frozenset(['prompt', 'image', 'negative_prompt'])

__a       :	List[Any]             = 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       :	Union[str, Any]             = frozenset(['prompt', 'image', 'mask_image', 'negative_prompt'])

__a       :	Optional[Any]             = frozenset(
    [
        # image variation with an image mask
        'image',
        'mask_image',
        'height',
        'width',
        'guidance_scale',
    ]
)

__a       :	int             = frozenset(['image', 'mask_image'])

__a       :	Tuple             = frozenset(
    [
        'example_image',
        'image',
        'mask_image',
        'height',
        'width',
        'guidance_scale',
    ]
)

__a       :	Optional[Any]             = frozenset(['example_image', 'image', 'mask_image'])

__a       :	Optional[Any]             = frozenset(['class_labels'])

__a       :	Tuple             = frozenset(['class_labels'])

__a       :	int             = frozenset(['batch_size'])

__a       :	int             = frozenset([])

__a       :	Union[str, Any]             = frozenset(['batch_size'])

__a       :	Tuple             = frozenset([])

__a       :	Dict             = frozenset(
    [
        'prompt',
        'audio_length_in_s',
        'guidance_scale',
        'negative_prompt',
        'prompt_embeds',
        'negative_prompt_embeds',
        'cross_attention_kwargs',
    ]
)

__a       :	Dict             = frozenset(['prompt', 'negative_prompt'])
__a       :	Optional[int]             = frozenset(['input_tokens'])

__a       :	str             = frozenset(['input_tokens'])


