import onnx
from .base_operator import QuantOperatorBase
from ..quant_utils import QuantizedValue, QuantizedValueType, attribute_to_kwarg
from onnx import onnx_pb as onnx_proto


class QSplit(QuantOperatorBase):
    def __init__(self, onnx_quantizer, onnx_node):
        super().__init__(onnx_quantizer, onnx_node)

    def quantize(self):
        node = self.node
        quantized_input_names, zero_point_names, scale_names, nodes = self.quantizer.quantize_inputs(node, [0])
        quantized_node_name = ""
        if node.name != "":
            quantized_node_name = node.name + "_quant"
        kwargs = {}
        for attribute in node.attribute:
            kwargs.update(attribute_to_kwarg(attribute))

        # Output just derive the scale/zero from input
        quantized_output_names = []
        for output_name in node.output:
            quantized_output_name = output_name + "quantized"
            quantized_output_names.append(quantized_output_name)
            q_output = QuantizedValue(output_name, quantized_output_name, scale_names[0], zero_point_names[0],
                                      QuantizedValueType.Input)
            self.quantizer.quantized_value_map[output_name] = q_output

        if len(node.input) > 1:
            quantized_input_names = quantized_input_names.extend(node.input[1:])
        quantized_node = onnx.helper.make_node(node.op_type, quantized_input_names, quantized_output_names,
                                               quantized_node_name, **kwargs)

        nodes.append(quantized_node)
        self.quantizer.new_nodes += nodes