diff --git a/nac3standalone/demo/src/ndarray.py b/nac3standalone/demo/src/ndarray.py index b5baeccf..3d4cae67 100644 --- a/nac3standalone/demo/src/ndarray.py +++ b/nac3standalone/demo/src/ndarray.py @@ -204,29 +204,65 @@ def test_ndarray_transpose(): y = np_transpose(x) z = np_transpose(y) + output_int32(np_shape(x)[0]) + output_int32(np_shape(x)[1]) output_ndarray_float_2(x) + + output_int32(np_shape(y)[0]) + output_int32(np_shape(y)[1]) output_ndarray_float_2(y) + output_int32(np_shape(z)[0]) + output_int32(np_shape(z)[1]) + output_ndarray_float_2(z) + def test_ndarray_reshape(): w: ndarray[float, 1] = np_array([1., 2., 3., 4., 5., 6., 7., 8., 9., 10.]) x = np_reshape(w, (1, 2, 1, -1)) y = np_reshape(x, [2, -1]) z = np_reshape(y, 10) + output_int32(np_shape(w)[0]) + output_ndarray_float_1(w) + + output_int32(np_shape(x)[0]) + output_int32(np_shape(x)[1]) + output_int32(np_shape(x)[2]) + output_int32(np_shape(x)[3]) + output_ndarray_float_4(x) + + output_int32(np_shape(y)[0]) + output_int32(np_shape(y)[1]) + output_ndarray_float_2(y) + + output_int32(np_shape(z)[0]) + output_ndarray_float_1(z) + x1: ndarray[int32, 1] = np_array([1, 2, 3, 4]) x2: ndarray[int32, 2] = np_reshape(x1, (2, 2)) - output_ndarray_float_1(w) - output_ndarray_float_2(y) - output_ndarray_float_1(z) + output_int32(np_shape(x1)[0]) + output_ndarray_int32_1(x1) + + output_int32(np_shape(x2)[0]) + output_int32(np_shape(x2)[1]) + output_ndarray_int32_2(x2) def test_ndarray_broadcast_to(): xs = np_array([1.0, 2.0, 3.0]) ys = np_broadcast_to(xs, (1, 3)) zs = np_broadcast_to(ys, (2, 4, 3)) + output_int32(np_shape(xs)[0]) output_ndarray_float_1(xs) + + output_int32(np_shape(ys)[0]) + output_int32(np_shape(ys)[1]) output_ndarray_float_2(ys) + + output_int32(np_shape(zs)[0]) + output_int32(np_shape(zs)[1]) + output_int32(np_shape(zs)[2]) output_ndarray_float_3(zs) def test_ndarray_subscript_assignment():