#!/usr/bin/env python from __future__ import print_function import sys sys.path.append('.') from example import fixed_r, fixed_c from example import fixed_passthrough_r, fixed_passthrough_c from example import dense_r, dense_c from example import dense_passthrough_r, dense_passthrough_c from example import sparse_r, sparse_c from example import sparse_passthrough_r, sparse_passthrough_c from example import double_row, double_col from example import double_mat_cm, double_mat_rm try: import numpy as np import scipy except ImportError: # NumPy missing: skip test exit(99) ref = np.array( [[0, 3, 0, 0, 0, 11], [22, 0, 0, 0, 17, 11], [7, 5, 0, 1, 0, 11], [0, 0, 0, 0, 0, 11], [0, 0, 14, 0, 8, 11]]) def check(mat): return 'OK' if np.sum(abs(mat - ref)) == 0 else 'NOT OK' print("should_give_NOT_OK = %s" % check(ref[:, ::-1])) print("fixed_r = %s" % check(fixed_r())) print("fixed_c = %s" % check(fixed_c())) print("pt_r(fixed_r) = %s" % check(fixed_passthrough_r(fixed_r()))) print("pt_c(fixed_c) = %s" % check(fixed_passthrough_c(fixed_c()))) print("pt_r(fixed_c) = %s" % check(fixed_passthrough_r(fixed_c()))) print("pt_c(fixed_r) = %s" % check(fixed_passthrough_c(fixed_r()))) print("dense_r = %s" % check(dense_r())) print("dense_c = %s" % check(dense_c())) print("pt_r(dense_r) = %s" % check(dense_passthrough_r(dense_r()))) print("pt_c(dense_c) = %s" % check(dense_passthrough_c(dense_c()))) print("pt_r(dense_c) = %s" % check(dense_passthrough_r(dense_c()))) print("pt_c(dense_r) = %s" % check(dense_passthrough_c(dense_r()))) print("sparse_r = %s" % check(sparse_r())) print("sparse_c = %s" % check(sparse_c())) print("pt_r(sparse_r) = %s" % check(sparse_passthrough_r(sparse_r()))) print("pt_c(sparse_c) = %s" % check(sparse_passthrough_c(sparse_c()))) print("pt_r(sparse_c) = %s" % check(sparse_passthrough_r(sparse_c()))) print("pt_c(sparse_r) = %s" % check(sparse_passthrough_c(sparse_r()))) def check_got_vs_ref(got_x, ref_x): return 'OK' if np.array_equal(got_x, ref_x) else 'NOT OK' counting_mat = np.arange(9.0, dtype=np.float32).reshape((3, 3)) first_row = counting_mat[0, :] first_col = counting_mat[:, 0] print("double_row(first_row) = %s" % check_got_vs_ref(double_row(first_row), 2.0 * first_row)) print("double_col(first_row) = %s" % check_got_vs_ref(double_col(first_row), 2.0 * first_row)) print("double_row(first_col) = %s" % check_got_vs_ref(double_row(first_col), 2.0 * first_col)) print("double_col(first_col) = %s" % check_got_vs_ref(double_col(first_col), 2.0 * first_col)) counting_3d = np.arange(27.0, dtype=np.float32).reshape((3, 3, 3)) slices = [counting_3d[0, :, :], counting_3d[:, 0, :], counting_3d[:, :, 0]] for slice_idx, ref_mat in enumerate(slices): print("double_mat_cm(%d) = %s" % (slice_idx, check_got_vs_ref(double_mat_cm(ref_mat), 2.0 * ref_mat))) print("double_mat_rm(%d) = %s" % (slice_idx, check_got_vs_ref(double_mat_rm(ref_mat), 2.0 * ref_mat)))