def __init__()

in src/qbsolv_community.py [0:0]

• 13 lines of code
• 1 McCabe index (conditional complexity)

    def __init__(self, graph_name, graph, num_comm, solver_limit=100, num_repeats=1, num_reads=1000, 
                 seed=1, alpha=10, mode='classical', s3_folder='N/A', device_arn = 'N/A'):
        """
        Input for graph and QBSolv hyperparameter values
        
        :param graph_name: str, the name of a graph for result saving
        :param graph: a networkX graph
        :param num_comm: int, number of communities to solve for
        :param solver_limit: int, the maximum number of variables (n) for sub-QUBOs
        :param num_repeats: int, the maximum iterations to repeat QBSolv solver execution to discover a new best solution
        :param num_reads: int, the number of times the annealing to be performed
        :param seed: int, random seed value
        :param alpha: int, the penalty coefficient to enforce assigning only one community to each node
        :param mode, str, must be either 'classical' or 'hybrid'. Determines whether the classical or hybrid solver is called
        :param s3_folder, str, Amazon Braket S3 folder path (only needed for QBSolv Hybrid solver)
        :param device_arn: str, D-Wave QPU Device ARN (only needed for QBSolv Hybrid solver)
        
        """
        self.graph_name = graph_name
        self.graph = graph
        self.num_comm = num_comm
        self.solver_limit = solver_limit
        self.num_repeats = num_repeats
        self.num_reads = num_reads
        self.seed = seed
        self.alpha = alpha
        self.mode = mode
        self.s3_folder = s3_folder
        self.device_arn = device_arn