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# to you under the Apache License, Version 2.0 (the
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#
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import tvm
from tvm import te
import numpy

def test_makeapi():
    """Not yet working, mock design"""
    n = te.size_var('n')
    A = te.placeholder((n,), name='A')
    B = te.placeholder((n,), name='B')
    C = te.compute(A.shape, lambda *i: A(*i) + B(*i), name='C')
    s = te.create_schedule(C.op)

    bounds = tvm.te.schedule.InferBound(s)
    stmt = tvm.te.schedule.ScheduleOps(s, bounds)

    Ab = tvm.tir.decl_buffer(A.shape, A.dtype, name='A')
    Bb = tvm.tir.decl_buffer(B.shape, B.dtype, name='B')
    Cb = tvm.tir.decl_buffer(C.shape, C.dtype, name='C')
    stmt = tvm.tir.ir_pass.StorageFlatten(stmt, {A: Ab, B:Bb, C:Cb}, 64)

    num_unpacked_args = 2
    f = tvm.tir.PrimFunc([n, Ab, Bb, Cb], stmt)
    f = f.with_attr("global_symbol", "myadd")
    f = f.with_attr("target", tvm.target.create("llvm"))

    mod = tvm.IRModule.from_expr(f)
    f = tvm.tir.transform.MakePackedAPI(num_unpacked_args)(mod)["main"]
    assert(len(f.params) == 7)


if __name__ == "__main__":
    test_makeapi()
