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from tensorflow_quantization.quantize_wrapper_base import BaseQuantizeWrapper
import copy
import pytest


EXPECTED_WRAPPERS = [
    "WeightedBaseQuantizeWrapper",
    "Conv2DQuantizeWrapper",
    "DenseQuantizeWrapper",
    "DepthwiseConv2DQuantizeWrapper",
    "NonWeightedBaseQuantizeWrapper",
    "AveragePooling2DQuantizeWrapper",
    "GlobalAveragePooling2DQuantizeWrapper",
    "MaxPooling2DQuantizeWrapper",
    "BatchNormalizationQuantizeWrapper",
    "NonWeightedBaseQuantizeWrapperForMultipleInputs",
    "MultiplyQuantizeWrapper",
    "ConcatenateQuantizeWrapper",
    "AddQuantizeWrapper",
]


def test_old_wrappers_registration():
    all_wrappers = BaseQuantizeWrapper.CHILD_WRAPPERS
    assert EXPECTED_WRAPPERS == list(all_wrappers.keys())


def test_new_wrapper_registration():
    class TestWrapper(BaseQuantizeWrapper):
        def __init__(self, layer, **kwargs):
            super().__init__(layer, **kwargs)

    all_wrappers = BaseQuantizeWrapper.CHILD_WRAPPERS
    expected = copy.deepcopy(EXPECTED_WRAPPERS)
    expected.append("TestWrapper")

    assert expected == list(all_wrappers.keys())