

def __init__(self, function, output_shape=None, arguments={
    
}, **kwargs):
    self.function = function
    self.arguments = function
    if (output_shape is None):
        self._output_shape = None
    elif (type(output_shape) in {tuple, list}):
        self._output_shape = tuple(output_shape)
    else:
        if (not hasattr(output_shape, '__call__')):
            raise Exception('In Lambda, `output_shape` must be a list, a tuple, or a function.')
        self._output_shape = output_shape
    super(Lambda, self).__init__(**kwargs)

dataset/ETHPy150Open fchollet/keras/keras/layers/core.py Lambda.__init__/VarMisuse@36/40 `arguments`->`function`