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Solve the following problem using Python, implementing the functions described below, one line at a time
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Description:
 def set_output(self, output_names, output_dims):
 """ Set the outputs of the network spec. Parameters output_names: [str] List of output names of the network. output_dims: [tuple] List of output dimensions of the network. The ordering of output_dims is the same as output_names. Examples -------- .. sourcecode:: python # Set the neural network spec outputs to be 3 dimensional vector feature1 and # 4 dimensional vector feature2. See Also -------- set_input, set_class_labels """

        spec = self.spec
        nn_spec = self.nn_spec
        for idx, dim in enumerate(output_dims):
            spec.description.output[idx].type.multiArrayType.ClearField("shape")
            spec.description.output[idx].type.multiArrayType.shape.extend(dim)
            spec.description.output[idx].type.multiArrayType.dataType = \
                    _Model_pb2.ArrayFeatureType.DOUBLE