#! /usr/bin/env python import numpy as np from numpy.testing import TestCase, assert_equal, assert_almost_equal from aubio import fvec, zero_crossing_rate, alpha_norm, min_removal from aubio import float_type wrong_type = 'float32' if float_type == 'float64' else 'float64' default_size = 512 class aubio_fvec_test_case(TestCase): def test_vector_created_with_zeroes(self): a = fvec(10) assert a.dtype == float_type assert a.shape == (10,) assert_equal(a, 0) def test_vector_create_with_list(self): a = fvec([0, 1, 2, 3]) assert a.dtype == float_type assert a.shape == (4,) assert_equal(list(range(4)), a) def test_vector_assign_element(self): a = fvec(default_size) a[0] = 1 assert_equal(a[0], 1) def test_vector_assign_element_end(self): a = fvec(default_size) a[-1] = 1 assert_equal(a[-1], 1) assert_equal(a[len(a)-1], 1) def test_vector(self): a = fvec() len(a) _ = a[0] np.array(a) a = fvec(1) a = fvec(10) _ = a.T class aubio_fvec_wrong_values(TestCase): def test_negative_length(self): """ test creating fvec with negative length fails (pure python) """ self.assertRaises(ValueError, fvec, -10) def test_negative_length(self): """ test creating fvec with zero length fails (pure python) """ self.assertRaises(ValueError, fvec, 0) def test_out_of_bound(self): """ test assiging fvec out of bounds fails (pure python) """ a = fvec(2) self.assertRaises(IndexError, a.__getitem__, 3) self.assertRaises(IndexError, a.__getitem__, 2) class aubio_wrong_fvec_input(TestCase): """ uses min_removal to test PyAubio_IsValidVector """ def test_no_input(self): self.assertRaises(TypeError, min_removal) def test_none(self): self.assertRaises(ValueError, min_removal, None) def test_wrong_scalar(self): a = np.array(10, dtype=float_type) self.assertRaises(ValueError, min_removal, a) def test_wrong_dimensions(self): a = np.array([[[1, 2], [3, 4]]], dtype=float_type) self.assertRaises(ValueError, min_removal, a) def test_wrong_array_size(self): x = np.array([], dtype=float_type) self.assertRaises(ValueError, min_removal, x) def test_wrong_type(self): a = np.zeros(10, dtype=wrong_type) self.assertRaises(ValueError, min_removal, a) def test_wrong_list_input(self): self.assertRaises(ValueError, min_removal, [0., 1.]) def test_good_input(self): a = np.zeros(10, dtype=float_type) assert_equal(np.zeros(10, dtype=float_type), min_removal(a)) class aubio_alpha_norm(TestCase): def test_alpha_norm_of_random(self): x = np.random.rand(1024).astype(float_type) alpha = np.random.rand() * 5. x_alpha_norm = (np.sum(np.abs(x)**alpha)/len(x))**(1/alpha) assert_almost_equal(alpha_norm(x, alpha), x_alpha_norm, decimal = 5) class aubio_zero_crossing_rate_test(TestCase): def test_zero_crossing_rate(self): a = np.array([0, 1, -1], dtype=float_type) assert_almost_equal(zero_crossing_rate(a), 1./3.) def test_zero_crossing_rate_zeros(self): a = np.zeros(100, dtype=float_type) self.assertEqual(zero_crossing_rate(a), 0) def test_zero_crossing_rate_minus_ones(self): a = np.ones(100, dtype=float_type) self.assertEqual(zero_crossing_rate(a), 0) def test_zero_crossing_rate_plus_ones(self): a = np.ones(100, dtype=float_type) self.assertEqual(zero_crossing_rate(a), 0) class aubio_fvec_min_removal(TestCase): def test_fvec_min_removal_of_array(self): a = np.array([20, 1, 19], dtype=float_type) b = min_removal(a) assert_equal(b, [19, 0, 18]) class aubio_fvec_test_memory(TestCase): def test_pass_to_numpy(self): a = fvec(10) a = 1. b = a del a assert_equal(b, 1.) c = fvec(10) c = b del b assert_equal(c, 1.) del c if __name__ == '__main__': from unittest import main main()