
"""simple docstring"""




UpperCAmelCase__      :    Tuple    							= frozenset(
    [
        'prompt',
        'height',
        'width',
        'guidance_scale',
        'negative_prompt',
        'prompt_embeds',
        'negative_prompt_embeds',
        'cross_attention_kwargs',
    ]
)

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

UpperCAmelCase__      :    List[Any]    							= frozenset([])

UpperCAmelCase__      :    List[Any]    							= frozenset(['image'])

UpperCAmelCase__      :    Any    							= frozenset(
    [
        'image',
        'height',
        'width',
        'guidance_scale',
    ]
)

UpperCAmelCase__      :    List[str]    							= frozenset(['image'])

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

UpperCAmelCase__      :    Dict    							= frozenset(['prompt', 'image', 'negative_prompt'])

UpperCAmelCase__      :    Optional[int]    							= frozenset(
    [
        # Text guided image variation with an image mask
        'prompt',
        'image',
        'mask_image',
        'height',
        'width',
        'guidance_scale',
        'negative_prompt',
        'prompt_embeds',
        'negative_prompt_embeds',
    ]
)

UpperCAmelCase__      :    Optional[int]    							= frozenset(['prompt', 'image', 'mask_image', 'negative_prompt'])

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

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

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

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

UpperCAmelCase__      :    Optional[int]    							= frozenset(['class_labels'])

UpperCAmelCase__      :    List[Any]    							= frozenset(['class_labels'])

UpperCAmelCase__      :    str    							= frozenset(['batch_size'])

UpperCAmelCase__      :    Any    							= frozenset([])

UpperCAmelCase__      :    List[Any]    							= frozenset(['batch_size'])

UpperCAmelCase__      :    Union[str, Any]    							= frozenset([])

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

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

UpperCAmelCase__      :    List[Any]    							= frozenset(['input_tokens'])






"""simple docstring"""




def lowercase_  (   _snake_case   ,_snake_case						):

							if not (isinstance(_snake_case   ,_snake_case						) and isinstance(_snake_case   ,_snake_case						)):
														raise ValueError("""longest_common_substring() takes two strings for inputs"""						)

							SCREAMING_SNAKE_CASE__						:       Optional[Any]           =   len(_snake_case						)
							SCREAMING_SNAKE_CASE__						:       int           =   len(_snake_case						)

							SCREAMING_SNAKE_CASE__						:       Dict           =   [[0] * (texta_length + 1) for _ in range(texta_length + 1						)]
							SCREAMING_SNAKE_CASE__						:       List[Any]           =   0
							SCREAMING_SNAKE_CASE__						:       Union[str, Any]           =   0

							for i in range(1   ,texta_length + 1						):
														for j in range(1   ,texta_length + 1						):
																					if texta[i - 1] == texta[j - 1]:
																												SCREAMING_SNAKE_CASE__						:       int           =   1 + dp[i - 1][j - 1]
																												if dp[i][j] > ans_length:
																																			SCREAMING_SNAKE_CASE__						:       List[Any]           =   i
																																			SCREAMING_SNAKE_CASE__						:       List[str]           =   dp[i][j]

							return texta[ans_index - ans_length : ans_index]


if __name__ == "__main__":
					import doctest

					doctest.testmod()




