graph_recognition_w_attn/sims/__pycache__/consensus.cpython-312.pyc

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    Config class for Consensus dynamics sims
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    Takes a step given the adjacency matrix and the current agent state using consensus dynamics.


    Parameters
    -----------------------------
    adj_matrix : jax.Array (num_agents, num_agents)
        A jax array containing the adjacency matrix for the consensus step.
        
    
    agent_states: jax.Array (num_agents)
        A jax array containing the current agent state
    
    config: ConsensusConfig
        Config class for Consensus Dynamics


    Returns
    ------------------------------
    updated_agent_state: jax.Array (num_agents)
        A jax array containing the updated agent state

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    Generates a random adjacency matrix in accordance with the config.
    The diagonal of the matrix is ensured to be all ones.

    Parameters
    --------------------
        key: jax.Array
            A key for jax.random operations

        config: ConsensusConfig
            Config for Consensus dyanmics

    Returns
    ---------------------
    adj_matrices: jax.Array (num_agents, num_agents)
        Random matrix 
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    Generate a random initial state for the agents in accordance with the config.

    Parameters
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        key: jax.Arrray
            A key for jax.random operations

        config: ConsensusConfig
            Config for Consensus dynamics

    Returns
    ---------------------
        rand_states: jax.Array (num_sims, num_agents)

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    Runs the consensus sim and returns a history of agent states.

    Parameters
    -------------------
        adj_mat: jax.Array (num_agents, num_agents)
            A jax array containing the adjacency matrix for the consensus step.

        initial_agent_state: jax.Array (num_agents)
            A jax array containing the initial agent state

        config: ConsensusConfig
            Config for Consensus dynamics
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