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#
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# pylint: disable=missing-docstring

import tvm
import tvm.testing
from tvm.script import tir as T


@T.prim_func
def main(p0: T.Buffer((), "int32"), T_stack: T.Buffer((T.int64(3),), "int32")):
    T.func_attr({"tir.noalias": True})
    # with T.block("root"):
    compile_engine_const = T.alloc_buffer((), "int32")
    compile_engine_const_1 = T.alloc_buffer((), "int32")
    with T.block("compile_engine_const"):
        vi = T.axis.spatial(1, T.int64(0))
        T.reads()
        T.writes(compile_engine_const[()])
        compile_engine_const[()] = 16
    with T.block("compile_engine_const_1"):
        vi = T.axis.spatial(1, T.int64(0))
        T.reads()
        T.writes(compile_engine_const_1[()])
        compile_engine_const_1[()] = 20
    for ax0 in range(T.int64(3)):
        with T.block("T_stack"):
            v_ax0 = T.axis.spatial(T.int64(3), ax0)
            T.reads(compile_engine_const[()], p0[()], compile_engine_const_1[()])
            T.writes(T_stack[v_ax0])
            T_stack[v_ax0] = T.if_then_else(
                v_ax0 == T.int64(2),
                compile_engine_const[()],
                T.if_then_else(v_ax0 == T.int64(1), p0[()], compile_engine_const_1[()]),
            )


@tvm.testing.requires_cuda
def test_normalize_primfunc_with_scalar():
    sch = tvm.tir.Schedule(main)
    f_normalize_prim_func = tvm.get_global_func("tir.schedule.NormalizePrimFunc")
    assert f_normalize_prim_func(sch)


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