def __repr__()

in torchmoji/lstm.py [0:0]

• 14 lines of code
• 6 McCabe index (conditional complexity)

    def __repr__(self):
        s = '{name}({input_size}, {hidden_size}'
        if self.num_layers != 1:
            s += ', num_layers={num_layers}'
        if self.bias is not True:
            s += ', bias={bias}'
        if self.batch_first is not False:
            s += ', batch_first={batch_first}'
        if self.dropout != 0:
            s += ', dropout={dropout}'
        if self.bidirectional is not False:
            s += ', bidirectional={bidirectional}'
        s += ')'
        return s.format(name=self.__class__.__name__, **self.__dict__)