# -*- coding: utf-8 -*- # This file is part of beets. # Copyright 2019, Carl Suster # # Permission is hereby granted, free of charge, to any person obtaining # a copy of this software and associated documentation files (the # "Software"), to deal in the Software without restriction, including # without limitation the rights to use, copy, modify, merge, publish, # distribute, sublicense, and/or sell copies of the Software, and to # permit persons to whom the Software is furnished to do so, subject to # the following conditions: # # The above copyright notice and this permission notice shall be # included in all copies or substantial portions of the Software. """Test the beets.random utilities associated with the random plugin. """ from __future__ import division, absolute_import, print_function import unittest from test.helper import TestHelper import math from random import Random from beets import random class RandomTest(unittest.TestCase, TestHelper): def setUp(self): self.lib = None self.artist1 = 'Artist 1' self.artist2 = 'Artist 2' self.item1 = self.create_item(artist=self.artist1) self.item2 = self.create_item(artist=self.artist2) self.items = [self.item1, self.item2] for _ in range(8): self.items.append(self.create_item(artist=self.artist2)) self.random_gen = Random() self.random_gen.seed(12345) def tearDown(self): pass def _stats(self, data): mean = sum(data) / len(data) stdev = math.sqrt( sum((p - mean) ** 2 for p in data) / (len(data) - 1)) quot, rem = divmod(len(data), 2) if rem: median = sorted(data)[quot] else: median = sum(sorted(data)[quot - 1:quot + 1]) / 2 return mean, stdev, median def test_equal_permutation(self): """We have a list of items where only one item is from artist1 and the rest are from artist2. If we permute weighted by the artist field then the solo track will almost always end up near the start. If we use a different field then it'll be in the middle on average. """ def experiment(field, histogram=False): """Permutes the list of items 500 times and calculates the position of self.item1 each time. Returns stats about that position. """ positions = [] for _ in range(500): shuffled = list(random._equal_chance_permutation( self.items, field=field, random_gen=self.random_gen)) positions.append(shuffled.index(self.item1)) # Print a histogram (useful for debugging). if histogram: for i in range(len(self.items)): print('{:2d} {}'.format(i, '*' * positions.count(i))) return self._stats(positions) mean1, stdev1, median1 = experiment('artist') mean2, stdev2, median2 = experiment('track') self.assertAlmostEqual(0, median1, delta=1) self.assertAlmostEqual(len(self.items) // 2, median2, delta=1) self.assertGreater(stdev2, stdev1) def suite(): return unittest.TestLoader().loadTestsFromName(__name__) if __name__ == '__main__': unittest.main(defaultTest='suite')