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

lowerCamelCase_						: int         =  frozenset(["""prompt""", """negative_prompt"""])

lowerCamelCase_						: Optional[int]         =  frozenset([])

lowerCamelCase_						: Dict         =  frozenset(["""image"""])

lowerCamelCase_						: Union[str, Any]         =  frozenset(
    [
        """image""",
        """height""",
        """width""",
        """guidance_scale""",
    ]
)

lowerCamelCase_						: Tuple         =  frozenset(["""image"""])

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

lowerCamelCase_						: str         =  frozenset(["""prompt""", """image""", """negative_prompt"""])

lowerCamelCase_						: 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""",
    ]
)

lowerCamelCase_						: Any         =  frozenset(["""prompt""", """image""", """mask_image""", """negative_prompt"""])

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

lowerCamelCase_						: Optional[Any]         =  frozenset(["""image""", """mask_image"""])

lowerCamelCase_						: Dict         =  frozenset(
    [
        """example_image""",
        """image""",
        """mask_image""",
        """height""",
        """width""",
        """guidance_scale""",
    ]
)

lowerCamelCase_						: Dict         =  frozenset(["""example_image""", """image""", """mask_image"""])

lowerCamelCase_						: Any         =  frozenset(["""class_labels"""])

lowerCamelCase_						: Tuple         =  frozenset(["""class_labels"""])

lowerCamelCase_						: List[Any]         =  frozenset(["""batch_size"""])

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

lowerCamelCase_						: Dict         =  frozenset(["""batch_size"""])

lowerCamelCase_						: Any         =  frozenset([])

lowerCamelCase_						: int         =  frozenset(
    [
        """prompt""",
        """audio_length_in_s""",
        """guidance_scale""",
        """negative_prompt""",
        """prompt_embeds""",
        """negative_prompt_embeds""",
        """cross_attention_kwargs""",
    ]
)

lowerCamelCase_						: Optional[Any]         =  frozenset(["""prompt""", """negative_prompt"""])
lowerCamelCase_						: Tuple         =  frozenset(["""input_tokens"""])

lowerCamelCase_						: Tuple         =  frozenset(["""input_tokens"""])








import random







def        A__					(						lowerCamelCase     ,    lowerCamelCase     ,    lowerCamelCase = False						)  ->	dict:
				UpperCamelCase_:							dict	=						{i: [] for i in range(lowerCamelCase						)}

				# if probability is greater or equal than 1, then generate a complete graph
				if probability >= 1:
								return complete_graph(lowerCamelCase						)
				# if probability is lower or equal than 0, then return a graph without edges
				if probability <= 0:
								return graph

				# for each couple of nodes, add an edge from u to v
				# if the number randomly generated is greater than probability probability
				for i in range(lowerCamelCase						):
								for j in range(i + 1     ,    lowerCamelCase						):
												if random.random() < probability:
																graph[i].append(lowerCamelCase						)
																if not directed:
																				# if the graph is undirected, add an edge in from j to i, either
																				graph[j].append(lowerCamelCase						)
				return graph







def        A__					(						lowerCamelCase						)  ->	dict:
				return {
				    i: [j for j in range(lowerCamelCase						) if i != j] for i in range(lowerCamelCase						)
				}


if __name__ == "__main__":
							import doctest

							doctest.testmod()






