def __cinit__()

in hype/adjacency_matrix_dataset.pyx [0:0]

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

    def __cinit__(self, adj, nnegs, batch_size, num_workers, burnin = False,
            sample_dampening=0.75):
        self.burnin = burnin
        self.num_workers = num_workers
        self.batch_size = batch_size
        self.max_tries = 10 * nnegs
        self.neg_multiplier = 1
        self.queue = queue.Queue(maxsize=num_workers)
        self.nnegs = nnegs
        self._sample_dampening = sample_dampening

        self.ids = adj['ids']
        self.neighbors = adj['neighbors']
        self.offsets = adj['offsets']
        self.weights = adj['weights']
        self.objects = adj['objects']
        self.N = len(self.objects)
        self._setup_alias_tables()