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# ruff: noqa: F401, F821
"""Test type nodes in the IR"""

import pytest

import tvm
from tvm.script import tirx as T


def check_json_roundtrip(node):
    json_str = tvm.ir.save_json(node)
    back = tvm.ir.load_json(json_str)
    tvm.ir.assert_structural_equal(back, node, map_free_vars=True)


def test_missing_type():
    missing = tvm.ir.Type.missing()

    assert isinstance(missing, tvm.ir.Type)
    assert missing.is_missing()


def test_prim_type():
    x = tvm.ir.PrimType("int32")
    assert isinstance(x, tvm.ir.PrimType)
    assert x.dtype == "int32"
    with pytest.raises(TypeError, match="PointerType::VoidPointerTy"):
        tvm.ir.PrimType("handle")


def test_func_type():
    arg_types = tvm.runtime.convert([])
    ret_type = tvm.ir.PrimType("float32")
    tf = tvm.ir.FuncType(arg_types, ret_type)
    assert tf.arg_types == arg_types
    assert tf.ret_type == ret_type
    assert tf.span is None
    # TODO make sure we can set span
    str(tf)
    check_json_roundtrip(tf)


def test_tuple_type():
    tf = tvm.ir.FuncType([], tvm.ir.TupleType([]))
    tt = tvm.ir.PrimType("float32")
    fields = tvm.runtime.convert([tf, tt])

    tup_ty = tvm.ir.TupleType(fields)
    assert tup_ty.fields == fields
    str(tup_ty)
    check_json_roundtrip(tup_ty)


if __name__ == "__main__":
    test_tensor_type_bad_constructor()
    test_func_type()
    test_tuple_type()
