


import random



def 							UpperCamelCase_( lowerCamelCase_				,					lowerCamelCase_				,					lowerCamelCase_ = False					)       ->		Union[str, Any]:
    _lowercase			:				Union[str, Any] 						=						{i: [] for i in range(A__					)}

    # if probability is greater or equal than 1, then generate a complete graph
    if probability >= 1:
        return complete_graph(A__					)
    # 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(A__					):
        for j in range(i + 1				,					A__					):
            if random.random() < probability:
                graph[i].append(A__					)
                if not directed:
                    # if the graph is undirected, add an edge in from j to i, either
                    graph[j].append(A__					)
    return graph



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


if __name__ == "__main__":
 import doctest

 doctest.testmod()





from typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available


__A			:					Dict						=			{
    'configuration_bigbird_pegasus': [
        'BIGBIRD_PEGASUS_PRETRAINED_CONFIG_ARCHIVE_MAP',
        'BigBirdPegasusConfig',
        'BigBirdPegasusOnnxConfig',
    ],
}

try:
    if not is_torch_available():
        raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
    pass
else:
    __A			:					int						=			[
        'BIGBIRD_PEGASUS_PRETRAINED_MODEL_ARCHIVE_LIST',
        'BigBirdPegasusForCausalLM',
        'BigBirdPegasusForConditionalGeneration',
        'BigBirdPegasusForQuestionAnswering',
        'BigBirdPegasusForSequenceClassification',
        'BigBirdPegasusModel',
        'BigBirdPegasusPreTrainedModel',
    ]


if TYPE_CHECKING:
    from .configuration_bigbird_pegasus import (
        BIGBIRD_PEGASUS_PRETRAINED_CONFIG_ARCHIVE_MAP,
        BigBirdPegasusConfig,
        BigBirdPegasusOnnxConfig,
    )

    try:
        if not is_torch_available():
            raise OptionalDependencyNotAvailable()
    except OptionalDependencyNotAvailable:
        pass
    else:
        from .modeling_bigbird_pegasus import (
            BIGBIRD_PEGASUS_PRETRAINED_MODEL_ARCHIVE_LIST,
            BigBirdPegasusForCausalLM,
            BigBirdPegasusForConditionalGeneration,
            BigBirdPegasusForQuestionAnswering,
            BigBirdPegasusForSequenceClassification,
            BigBirdPegasusModel,
            BigBirdPegasusPreTrainedModel,
        )


else:
    import sys

    __A			:					List[Any]						=			_LazyModule(__name__, globals()['__file__'], _import_structure, module_spec=__spec__)