annotate tests/test_map_and_average.py @ 105:edd82eb89b4b branch-tests tip

Merge
author Maria Panteli
date Sun, 15 Oct 2017 13:36:59 +0100
parents 4425a4918102
children
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Maria@18 1 # -*- coding: utf-8 -*-
Maria@18 2 """
Maria@18 3 Created on Fri Sep 1 19:11:52 2017
Maria@18 4
Maria@18 5 @author: mariapanteli
Maria@18 6 """
Maria@18 7
Maria@18 8 import pytest
Maria@18 9
Maria@18 10 import numpy as np
Maria@18 11
Maria@18 12 import scripts.map_and_average as map_and_average
Maria@18 13
Maria@18 14
Maria@18 15 def test_remove_inds():
Maria@18 16 labels = np.array(['a', 'a', 'b', 'unknown'])
Maria@18 17 features = np.array([[0, 1], [0,2], [0, 3], [0, 4]])
Maria@18 18 audiolabels = np.array(['a', 'b', 'c', 'd'])
Maria@18 19 features, labels, audiolabels = map_and_average.remove_inds(features, labels, audiolabels)
Maria@18 20 assert len(features) == 3 and len(labels) == 3 and len(audiolabels) == 3
Maria@18 21
Maria@18 22
Maria@18 23 def test_remove_inds():
Maria@18 24 labels = np.array(['a', 'a', 'b', 'unknown'])
Maria@18 25 features = np.array([[0, 1], [0,2], [0, 3], [0, 4]])
Maria@18 26 audiolabels = np.array(['a', 'b', 'c', 'd'])
Maria@18 27 features, labels, audiolabels = map_and_average.remove_inds(features, labels, audiolabels)
Maria@18 28 features_true = np.array([[0, 1], [0,2], [0, 3]])
Maria@18 29 assert np.array_equal(features, features_true)
Maria@18 30
Maria@18 31
Maria@18 32 def test_averageframes():
Maria@18 33 classlabels = np.array(['a', 'a', 'b', 'b', 'b'])
Maria@18 34 features = np.array([[0, 1], [0,2], [0, 1], [1, 1], [2, 1]])
Maria@18 35 audiolabels = np.array(['a', 'a', 'b', 'b', 'b'])
Maria@18 36 feat, audio, labels = map_and_average.averageframes(features, audiolabels, classlabels)
m@30 37 feat_true = np.array([[0, 1.5], [1, 1]])
m@62 38 assert np.array_equal(feat, feat_true)
m@62 39
m@62 40
m@62 41 def test_limit_to_n_seconds():
m@62 42 X = np.random.randn(10, 3)
m@62 43 Y = np.random.randn(10)
m@62 44 Yaudio = np.concatenate([np.repeat('a', 7), np.repeat('b', 3)])
m@62 45 Xn, Yn, Yaudion = map_and_average.limit_to_n_seconds([X, Y, Yaudio], n_sec=3.0, win_sec=0.5)
m@62 46 Yaudion_true = np.concatenate([np.repeat('a', 5), np.repeat('b', 3)])
m@62 47 assert np.array_equal(Yaudion_true, Yaudion) and len(Xn)==len(Yn) and len(Yn)==len(Yaudion)