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#
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import inspect

import pytest

import tvm.testing
from tvm import relax
from tvm.script import ir as I
from tvm.script import relax as R


class Base:
    def test_compare(self):
        transform = relax.transform.UpdateParamType(self.update_ty)

        if inspect.isclass(self.Expected) and issubclass(self.Expected, Exception):
            with pytest.raises(self.Expected):
                transform(self.Before)
        else:
            after = transform(self.Before)
            tvm.ir.assert_structural_equal(self.Expected, after)

    def update_ty(self, var: relax.Var) -> relax.Type | None:
        """The parameter type update function provided to the transform"""
        raise NotImplementedError("Should be implemented in derived class")


class TestSimple(Base):
    def update_ty(self, var: relax.Var) -> relax.Type | None:
        if var.name_hint == "weight":
            return relax.TensorType([64, 16], "float32")

    @I.ir_module
    class Before:
        @R.function
        def main(
            x: R.Tensor([16], "float32"),
            weight: R.Tensor([32, 16], "float32"),
        ) -> R.Tensor([32], "float32"):
            out: R.Tensor([32], "float32") = R.matmul(weight, x)
            return out

    @I.ir_module
    class Expected:
        @R.function
        def main(
            x: R.Tensor([16], "float32"),
            weight: R.Tensor([64, 16], "float32"),
        ) -> R.Tensor([64], "float32"):
            out: R.Tensor([64], "float32") = R.matmul(weight, x)
            return out


if __name__ == "__main__":
    tvm.testing.main()
