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# Test methods with long descriptive names can omit docstrings
# pylint: disable=missing-docstring
from unittest import TestCase
import time
import numpy as np
from Orange.data import Table
from Orange.statistics.basic_stats import DomainBasicStats, BasicStats
class TestDomainBasicStats(TestCase):
def setUp(self):
self.zoo = Table("zoo")
def test_domain_basic_stats(self):
domain = self.zoo.domain
attr_stats = [BasicStats(self.zoo, a) for a in domain.attributes]
class_var_stats = [BasicStats(self.zoo, a) for a in domain.class_vars]
meta_stats = [BasicStats(self.zoo, a) for a in domain.metas]
domain_stats = DomainBasicStats(self.zoo)
self.assertStatsEqual(domain_stats.stats,
attr_stats + class_var_stats)
domain_stats = DomainBasicStats(self.zoo, include_metas=True)
self.assertStatsEqual(domain_stats.stats,
attr_stats + class_var_stats + meta_stats)
def test_empty_table(self):
domain_stats = DomainBasicStats(self.zoo[:0])
self.assertEqual(len(domain_stats.stats), 17)
def test_speed(self):
n, m = 10, 10000
data = Table.from_numpy(None, np.random.rand(n, m))
start = time.time()
for i in range(m):
BasicStats(data, i)
elapsed = time.time() - start
self.assertLess(elapsed, 10.0)
def assertStatsEqual(self, stats1, stats2):
self.assertEqual(len(stats1), len(stats2))
for stat1, stat2 in zip(stats1, stats2):
self.assertAlmostEqual(stat1.min, stat2.min)
self.assertAlmostEqual(stat1.max, stat2.max)
self.assertAlmostEqual(stat1.mean, stat2.mean)
self.assertAlmostEqual(stat1.var, stat2.var)
self.assertAlmostEqual(stat1.nans, stat2.nans)
self.assertAlmostEqual(stat1.non_nans, stat2.non_nans)
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