def get_stats_result(self, request):
        """Return the StatsResult object for this statistic"""
        stats_datasets = StatsMakerDataverses(**request.GET.dict())

        pub_state = self.get_pub_state(request)

        if pub_state == self.PUB_STATE_ALL:
            stats_result = stats_datasets.get_dataverse_affiliation_counts()
        elif pub_state == self.PUB_STATE_UNPUBLISHED:
            stats_result = stats_datasets.get_dataverse_affiliation_counts_unpublished()
        else:
            stats_result = stats_datasets.get_dataverse_affiliation_counts_published()

        return stats_result
def test_thread_extent_simplify():
    ib = tvm.tir.ir_builder.create()
    A = ib.pointer("float32", name="A")
    C = ib.pointer("float32", name="C")
    n = te.size_var("n")
    tx = te.thread_axis("threadIdx.x")
    ty = te.thread_axis("threadIdx.y")
    ib.scope_attr(tx, "thread_extent", n)
    ib.scope_attr(tx, "thread_extent", n)
    ib.scope_attr(ty, "thread_extent", 1)
    with ib.if_scope(tx + ty < 12):
        A[tx] = C[tx + ty]
    body = tvm.tir.LetStmt(n, 10, ib.get())
    mod = tvm.IRModule.from_expr(tvm.tir.PrimFunc([A, C, n], body))
    body = tvm.tir.transform.Simplify()(mod)["main"].body
    assert isinstance(body.body.body.body, tvm.tir.Store)