ref: 88554b9b6fd8d6283d4947014236fd224519210d
parent: b96a7b88da69d30b3617fe6b25e91058a5c6189b
author: Paul Brossier <piem@piem.org>
date: Wed May 11 05:40:50 EDT 2016
python/tests/test_fvec.py: clean up and simplify
--- a/python/tests/test_fvec.py
+++ b/python/tests/test_fvec.py
@@ -1,10 +1,9 @@
#! /usr/bin/env python
-from numpy.testing import TestCase, run_module_suite
-from numpy.testing import assert_equal, assert_almost_equal
+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
-from numpy import array, shape
wrong_type = 'float32' if float_type == 'float64' else 'float64'
@@ -16,13 +15,13 @@
a = fvec(10)
assert a.dtype == float_type
assert a.shape == (10,)
- assert_equal (a, 0)
+ assert_equal(a, 0)
def test_vector_create_with_list(self):
- a = fvec([0,1,2,3])
+ a = fvec([0, 1, 2, 3])
assert a.dtype == float_type
assert a.shape == (4,)
- assert_equal (list(range(4)), a)
+ assert_equal(list(range(4)), a)
def test_vector_assign_element(self):
a = fvec(default_size)
@@ -37,113 +36,106 @@
def test_vector(self):
a = fvec()
- a, len(a) #a.length
- a[0]
- array(a)
- a = fvec(10)
+ len(a)
+ _ = a[0]
+ np.array(a)
a = fvec(1)
- a.T
- array(a).T
- a = list(range(len(a)))
+ a = fvec(10)
+ _ = a.T
- def test_wrong_values(self):
- self.assertRaises (ValueError, fvec, -10)
-
- a = fvec(2)
- self.assertRaises (IndexError, a.__getitem__, 3)
- self.assertRaises (IndexError, a.__getitem__, 2)
+class aubio_fvec_wrong_values(TestCase):
- def test_alpha_norm_of_fvec(self):
+ 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.assertEqual (alpha_norm(a, 1), 0)
- a[0] = 1
- self.assertEqual (alpha_norm(a, 1), 0.5)
- a[1] = 1
- self.assertEqual (alpha_norm(a, 1), 1)
- a = array([0, 1], dtype=float_type)
- assert_almost_equal (alpha_norm(a, 2), .5*2.**.5)
+ self.assertRaises(IndexError, a.__getitem__, 3)
+ self.assertRaises(IndexError, a.__getitem__, 2)
- def test_alpha_norm_of_none(self):
- self.assertRaises (ValueError, alpha_norm, None, 1)
+class aubio_wrong_fvec_input(TestCase):
+ """ uses min_removal to test PyAubio_IsValidVector """
- def test_alpha_norm_of_array_of_float32(self):
- # check scalar fails
- a = array(1, dtype = float_type)
- self.assertRaises (ValueError, alpha_norm, a, 1)
- # check 2d array fails
- a = array([[2],[4]], dtype = float_type)
- self.assertRaises (ValueError, alpha_norm, a, 1)
- # check 1d array
- a = array(range(10), dtype = float_type)
- self.assertEqual (alpha_norm(a, 1), 4.5)
+ def test_no_input(self):
+ self.assertRaises(TypeError, min_removal)
- def test_alpha_norm_of_array_of_int(self):
- a = array(1, dtype = 'int')
- self.assertRaises (ValueError, alpha_norm, a, 1)
- a = array([[[1,2],[3,4]]], dtype = 'int')
- self.assertRaises (ValueError, alpha_norm, a, 1)
- a = array(range(10), dtype = 'int')
- self.assertRaises (ValueError, alpha_norm, a, 1)
+ def test_none(self):
+ self.assertRaises(ValueError, min_removal, None)
- def test_alpha_norm_of_array_of_string (self):
- a = "hello"
- self.assertRaises (ValueError, alpha_norm, a, 1)
+ 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)
+
+class aubio_zero_crossing_rate_test(TestCase):
+
def test_zero_crossing_rate(self):
- a = array([0,1,-1], dtype=float_type)
- assert_almost_equal (zero_crossing_rate(a), 1./3. )
- a = array([0.]*100, dtype=float_type)
- self.assertEqual (zero_crossing_rate(a), 0 )
- a = array([-1.]*100, dtype=float_type)
- self.assertEqual (zero_crossing_rate(a), 0 )
- a = array([1.]*100, dtype=float_type)
- self.assertEqual (zero_crossing_rate(a), 0 )
+ a = np.array([0, 1, -1], dtype=float_type)
+ assert_almost_equal(zero_crossing_rate(a), 1./3.)
- def test_alpha_norm_of_array_of_float64(self):
- # check scalar fail
- a = array(1, dtype = wrong_type)
- self.assertRaises (ValueError, alpha_norm, a, 1)
- # check 3d array fail
- a = array([[[1,2],[3,4]]], dtype = wrong_type)
- self.assertRaises (ValueError, alpha_norm, a, 1)
- # check float64 1d array fail
- a = array(list(range(10)), dtype = wrong_type)
- self.assertRaises (ValueError, alpha_norm, a, 1)
- # check float64 2d array fail
- a = array([list(range(10)), list(range(10))], dtype = wrong_type)
- self.assertRaises (ValueError, alpha_norm, a, 1)
+ def test_zero_crossing_rate_zeros(self):
+ a = np.zeros(100, dtype=float_type)
+ self.assertEqual(zero_crossing_rate(a), 0)
- def test_fvec_min_removal_of_array(self):
- a = array([20,1,19], dtype=float_type)
- b = min_removal(a)
- assert_equal (array(b), [19, 0, 18])
- assert_equal (b, [19, 0, 18])
- assert_equal (a, b)
- a[0] = 0
- assert_equal (a, b)
+ def test_zero_crossing_rate_minus_ones(self):
+ a = np.ones(100, dtype=float_type)
+ self.assertEqual(zero_crossing_rate(a), 0)
- def test_fvec_min_removal_of_array_float64(self):
- a = array([20,1,19], dtype=wrong_type)
- self.assertRaises (ValueError, min_removal, a)
+ def test_zero_crossing_rate_plus_ones(self):
+ a = np.ones(100, dtype=float_type)
+ self.assertEqual(zero_crossing_rate(a), 0)
- def test_fvec_min_removal_of_fvec(self):
- a = fvec(3)
- a = array([20, 1, 19], dtype = float_type)
+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 (array(b), [19, 0, 18])
- assert_equal (b, [19, 0, 18])
- assert_equal (a, b)
+ 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.)
+ assert_equal(b, 1.)
c = fvec(10)
c = b
del b
- assert_equal (c, 1.)
+ assert_equal(c, 1.)
del c
if __name__ == '__main__':