






A__			:    Optional[int]         =				frozenset(
    [
        'prompt',
        'height',
        'width',
        'guidance_scale',
        'negative_prompt',
        'prompt_embeds',
        'negative_prompt_embeds',
        'cross_attention_kwargs',
    ]
)

A__			:    str         =				frozenset(['prompt', 'negative_prompt'])

A__			:    Tuple         =				frozenset([])

A__			:    Optional[Any]         =				frozenset(['image'])

A__			:    Union[str, Any]         =				frozenset(
    [
        'image',
        'height',
        'width',
        'guidance_scale',
    ]
)

A__			:    Tuple         =				frozenset(['image'])

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

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

A__			:    Optional[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__			:    List[str]         =				frozenset(['prompt', 'image', 'mask_image', 'negative_prompt'])

A__			:    Dict         =				frozenset(
    [
        # image variation with an image mask
        'image',
        'mask_image',
        'height',
        'width',
        'guidance_scale',
    ]
)

A__			:    Tuple         =				frozenset(['image', 'mask_image'])

A__			:    Optional[int]         =				frozenset(
    [
        'example_image',
        'image',
        'mask_image',
        'height',
        'width',
        'guidance_scale',
    ]
)

A__			:    List[str]         =				frozenset(['example_image', 'image', 'mask_image'])

A__			:    str         =				frozenset(['class_labels'])

A__			:    List[str]         =				frozenset(['class_labels'])

A__			:    Dict         =				frozenset(['batch_size'])

A__			:    int         =				frozenset([])

A__			:    Dict         =				frozenset(['batch_size'])

A__			:    Optional[Any]         =				frozenset([])

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

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

A__			:    int         =				frozenset(['input_tokens'])












def 						a    (		lowerCamelCase_	,     lowerCamelCase_	,     lowerCamelCase_       ):






				'''simple docstring'''

				if exponent == 1:
								return base
				if exponent % 2 == 0:
								lowercase__     				=    _modexpt(lowerCamelCase_	,     exponent // 2	,     lowerCamelCase_       ) % modulo_value
								return (x * x) % modulo_value
				else:
								return (base * _modexpt(lowerCamelCase_	,     exponent - 1	,     lowerCamelCase_       )) % modulo_value






def 						a    (		lowerCamelCase_ = 1777	,     lowerCamelCase_ = 1855	,     lowerCamelCase_ = 8       ):






				'''simple docstring'''
				lowercase__     				=    base
				for _ in range(1	,     lowerCamelCase_       ):
								lowercase__     				=    _modexpt(lowerCamelCase_	,     lowerCamelCase_	,     10**digits       )

				return result


if __name__ == "__main__":
							print(F"{solution() = }")




