blob: 8ab35efcf0f09899f1c1db9bd5e7d89d49c611b8 [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
Jason Rhinelander7de9f6c2016-07-08 17:44:12 -040014try:
15 import numpy as np
16except ImportError:
17 # NumPy missing: skip test
18 exit(99)
Wenzel Jakob9e0a0562016-05-05 20:33:54 +020019
20ref = np.array(
21 [[0, 3, 0, 0, 0, 11],
22 [22, 0, 0, 0, 17, 11],
23 [7, 5, 0, 1, 0, 11],
24 [0, 0, 0, 0, 0, 11],
25 [0, 0, 14, 0, 8, 11]])
26
27
28def check(mat):
Ben North150a0fa2016-07-05 19:59:28 +010029 return 'OK' if np.sum(abs(mat - ref)) == 0 else 'NOT OK'
Wenzel Jakob9e0a0562016-05-05 20:33:54 +020030
Ben North676e2982016-07-05 21:46:09 +010031print("should_give_NOT_OK = %s" % check(ref[:, ::-1]))
32
Wenzel Jakob9e0a0562016-05-05 20:33:54 +020033print("fixed_r = %s" % check(fixed_r()))
34print("fixed_c = %s" % check(fixed_c()))
35print("pt_r(fixed_r) = %s" % check(fixed_passthrough_r(fixed_r())))
36print("pt_c(fixed_c) = %s" % check(fixed_passthrough_c(fixed_c())))
37print("pt_r(fixed_c) = %s" % check(fixed_passthrough_r(fixed_c())))
38print("pt_c(fixed_r) = %s" % check(fixed_passthrough_c(fixed_r())))
39
40print("dense_r = %s" % check(dense_r()))
41print("dense_c = %s" % check(dense_c()))
42print("pt_r(dense_r) = %s" % check(dense_passthrough_r(dense_r())))
43print("pt_c(dense_c) = %s" % check(dense_passthrough_c(dense_c())))
44print("pt_r(dense_c) = %s" % check(dense_passthrough_r(dense_c())))
45print("pt_c(dense_r) = %s" % check(dense_passthrough_c(dense_r())))
46
47print("sparse_r = %s" % check(sparse_r()))
48print("sparse_c = %s" % check(sparse_c()))
49print("pt_r(sparse_r) = %s" % check(sparse_passthrough_r(sparse_r())))
50print("pt_c(sparse_c) = %s" % check(sparse_passthrough_c(sparse_c())))
51print("pt_r(sparse_c) = %s" % check(sparse_passthrough_r(sparse_c())))
52print("pt_c(sparse_r) = %s" % check(sparse_passthrough_c(sparse_r())))
Ben North4a220912016-07-05 20:03:02 +010053
54def check_got_vs_ref(got_x, ref_x):
55 return 'OK' if np.array_equal(got_x, ref_x) else 'NOT OK'
56
57counting_mat = np.arange(9.0, dtype=np.float32).reshape((3, 3))
58first_row = counting_mat[0, :]
59first_col = counting_mat[:, 0]
60
61print("double_row(first_row) = %s" % check_got_vs_ref(double_row(first_row), 2.0 * first_row))
62print("double_col(first_row) = %s" % check_got_vs_ref(double_col(first_row), 2.0 * first_row))
63print("double_row(first_col) = %s" % check_got_vs_ref(double_row(first_col), 2.0 * first_col))
64print("double_col(first_col) = %s" % check_got_vs_ref(double_col(first_col), 2.0 * first_col))
Ben North7b8d9e02016-07-05 21:03:19 +010065
66counting_3d = np.arange(27.0, dtype=np.float32).reshape((3, 3, 3))
67slices = [counting_3d[0, :, :], counting_3d[:, 0, :], counting_3d[:, :, 0]]
68
69for slice_idx, ref_mat in enumerate(slices):
70 print("double_mat_cm(%d) = %s" % (slice_idx, check_got_vs_ref(double_mat_cm(ref_mat), 2.0 * ref_mat)))
71 print("double_mat_rm(%d) = %s" % (slice_idx, check_got_vs_ref(double_mat_rm(ref_mat), 2.0 * ref_mat)))