def __init__()

in safetorch/parameters.py [0:0]

• 9 lines of code
• 2 McCabe index (conditional complexity)

    def __init__(self):
        self.num_embeddings = 527683
        self.embedding_size = 100  # dimension of the function embedding

        ## RNN PARAMETERS, these parameters are only used for RNN model.
        self.rnn_state_size = 50  # dimesion of the rnn state
        self.rnn_depth = 1  # depth of the rnn
        self.max_instructions = 150  # number of instructions

        ## ATTENTION PARAMETERS
        self.attention_hops = 10
        self.attention_depth = 250

        # RNN SINGLE PARAMETER
        self.dense_layer_size = 2000