blob: 9c4e1ef1645617cbcd6dfe30a66bf3548913cef9 [file] [log] [blame]
Wenzel Jakob9e0a0562016-05-05 20:33:54 +02001#!/usr/bin/env python
2from __future__ import print_function
3import sys
4sys.path.append('.')
5
6from example import fixed_r, fixed_c
7from example import fixed_passthrough_r, fixed_passthrough_c
8from example import dense_r, dense_c
9from example import dense_passthrough_r, dense_passthrough_c
10from example import sparse_r, sparse_c
11from example import sparse_passthrough_r, sparse_passthrough_c
Ben North4a220912016-07-05 20:03:02 +010012from example import double_row, double_col
Ben North7b8d9e02016-07-05 21:03:19 +010013from example import double_mat_cm, double_mat_rm
Wenzel Jakob9e0a0562016-05-05 20:33:54 +020014import numpy as np
15
16ref = np.array(
17 [[0, 3, 0, 0, 0, 11],
18 [22, 0, 0, 0, 17, 11],
19 [7, 5, 0, 1, 0, 11],
20 [0, 0, 0, 0, 0, 11],
21 [0, 0, 14, 0, 8, 11]])
22
23
24def check(mat):
25 return 'OK' if np.sum(mat - ref) == 0 else 'NOT OK'
26
27print("fixed_r = %s" % check(fixed_r()))
28print("fixed_c = %s" % check(fixed_c()))
29print("pt_r(fixed_r) = %s" % check(fixed_passthrough_r(fixed_r())))
30print("pt_c(fixed_c) = %s" % check(fixed_passthrough_c(fixed_c())))
31print("pt_r(fixed_c) = %s" % check(fixed_passthrough_r(fixed_c())))
32print("pt_c(fixed_r) = %s" % check(fixed_passthrough_c(fixed_r())))
33
34print("dense_r = %s" % check(dense_r()))
35print("dense_c = %s" % check(dense_c()))
36print("pt_r(dense_r) = %s" % check(dense_passthrough_r(dense_r())))
37print("pt_c(dense_c) = %s" % check(dense_passthrough_c(dense_c())))
38print("pt_r(dense_c) = %s" % check(dense_passthrough_r(dense_c())))
39print("pt_c(dense_r) = %s" % check(dense_passthrough_c(dense_r())))
40
41print("sparse_r = %s" % check(sparse_r()))
42print("sparse_c = %s" % check(sparse_c()))
43print("pt_r(sparse_r) = %s" % check(sparse_passthrough_r(sparse_r())))
44print("pt_c(sparse_c) = %s" % check(sparse_passthrough_c(sparse_c())))
45print("pt_r(sparse_c) = %s" % check(sparse_passthrough_r(sparse_c())))
46print("pt_c(sparse_r) = %s" % check(sparse_passthrough_c(sparse_r())))
Ben North4a220912016-07-05 20:03:02 +010047
48def check_got_vs_ref(got_x, ref_x):
49 return 'OK' if np.array_equal(got_x, ref_x) else 'NOT OK'
50
51counting_mat = np.arange(9.0, dtype=np.float32).reshape((3, 3))
52first_row = counting_mat[0, :]
53first_col = counting_mat[:, 0]
54
55print("double_row(first_row) = %s" % check_got_vs_ref(double_row(first_row), 2.0 * first_row))
56print("double_col(first_row) = %s" % check_got_vs_ref(double_col(first_row), 2.0 * first_row))
57print("double_row(first_col) = %s" % check_got_vs_ref(double_row(first_col), 2.0 * first_col))
58print("double_col(first_col) = %s" % check_got_vs_ref(double_col(first_col), 2.0 * first_col))
Ben North7b8d9e02016-07-05 21:03:19 +010059
60counting_3d = np.arange(27.0, dtype=np.float32).reshape((3, 3, 3))
61slices = [counting_3d[0, :, :], counting_3d[:, 0, :], counting_3d[:, :, 0]]
62
63for slice_idx, ref_mat in enumerate(slices):
64 print("double_mat_cm(%d) = %s" % (slice_idx, check_got_vs_ref(double_mat_cm(ref_mat), 2.0 * ref_mat)))
65 print("double_mat_rm(%d) = %s" % (slice_idx, check_got_vs_ref(double_mat_rm(ref_mat), 2.0 * ref_mat)))