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Merge branch 'feature-adjustment-formula' into develop

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LSaldyt
2017-10-09 17:55:02 -06:00
parent 73558f378c f3386b91be
commit 81f2ef2473
1 changed files with 106 additions and 97 deletions
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tests.py
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@ -5,126 +5,134 @@ from copycat import Copycat
# TODO: update test cases to use entropy
def pnormaldist(p):
table = {
0.80: 1.2815,
0.90: 1.6448,
0.95: 1.9599,
0.98: 2.3263,
0.99: 2.5758,
0.995: 2.8070,
0.998: 3.0902,
0.999: 3.2905,
0.9999: 3.8905,
0.99999: 4.4171,
0.999999: 4.8916,
0.9999999: 5.3267,
0.99999999: 5.7307,
0.999999999: 6.1094,
}
return max(v for k, v in table.items() if k <= p)
def lower_bound_on_probability(hits, attempts, confidence=0.95):
if attempts == 0:
return 0
z = pnormaldist(confidence)
zsqr = z * z
phat = 1.0 * hits / attempts
under_sqrt = (phat * (1 - phat) + zsqr / (4 * attempts)) / attempts
denominator = (1 + zsqr / attempts)
return (phat + zsqr / (2 * attempts) - z * (under_sqrt ** 0.5)) / denominator
def upper_bound_on_probability(hits, attempts, confidence=0.95):
misses = attempts - hits
return 1.0 - lower_bound_on_probability(misses, attempts, confidence)
# CHI2 values for n degrees freedom
_chiSquared_table = {
1:3.841,
2:5.991,
3:7.815,
4:9.488,
5:11.071,
6:12.592,
7:14.067,
8:15.507,
9:16.919,
10:18.307
}
class TestCopycat(unittest.TestCase):
def setUp(self):
self.longMessage = True # new in Python 2.7
def assertProbabilitiesLookRoughlyLike(self, actual, expected):
actual_count = 0.0 + sum(d['count'] for d in list(actual.values()))
expected_count = 0.0 + sum(d['count'] for d in list(expected.values()))
self.assertGreater(actual_count, 1)
self.assertGreater(expected_count, 1)
for k in set(list(actual.keys()) + list(expected.keys())):
if k not in expected:
self.fail('Key %s was produced but not expected! %r != %r' % (k, actual, expected))
expected_probability = expected[k]['count'] / expected_count
if k in actual:
actual_lo = lower_bound_on_probability(actual[k]['count'], actual_count)
actual_hi = upper_bound_on_probability(actual[k]['count'], actual_count)
if not (actual_lo <= expected_probability <= actual_hi):
print('Failed (%s <= %s <= %s)' % (actual_lo, expected_probability, actual_hi))
self.fail('Count ("obviousness" metric) seems way off! %r != %r' % (actual, expected))
if abs(actual[k]['avgtemp'] - expected[k]['avgtemp']) >= 10.0 + (10.0 / actual[k]['count']):
print('Failed (%s - %s >= %s)' % (actual[k]['avgtemp'], expected[k]['avgtemp'], 10.0 + (10.0 / actual[k]['count'])))
self.fail('Temperature ("elegance" metric) seems way off! %r != %r' % (actual, expected))
def assertProbabilitiesLookRoughlyLike(self, actual, expected, iterations):
answerKeys = set(list(actual.keys()) + list(expected.keys()))
degreesFreedom = len(answerKeys)
chiSquared = 0
get_count = lambda k, d : d[k]['count'] if k in d else 0
for k in answerKeys:
E = get_count(k, expected)
O = get_count(k, actual)
if E == 0:
print('Warning! Expected 0 counts of {}, but got {}'.format(k, O))
else:
actual_hi = upper_bound_on_probability(0, actual_count)
if not (0 <= expected_probability <= actual_hi):
self.fail('No instances of expected key %s were produced! %r != %r' % (k, actual, expected))
chiSquared += (O - E) ** 2 / E
if chiSquared >= _chiSquared_table[degreesFreedom]:
self.fail('Significant different between expected and actual answer distributions: \n' +
'Chi2 value: {} with {} degrees of freedom'.format(chiSquared, degreesFreedom))
def run_testcase(self, initial, modified, target, iterations, expected):
#tpprint(expected)
print('expected:')
pprint(expected)
actual = Copycat().run(initial, modified, target, iterations)
print('actual:')
pprint(actual)
self.assertEqual(sum(a['count'] for a in list(actual.values())), iterations)
self.assertProbabilitiesLookRoughlyLike(actual, expected)
self.assertProbabilitiesLookRoughlyLike(actual, expected, iterations)
def test_simple_cases(self):
self.run_testcase('abc', 'abd', 'efg', 50, {
'efd': {'count': 1, 'avgtemp': 16},
'efh': {'count': 99, 'avgtemp': 19},
})
self.run_testcase('abc', 'abd', 'ijk', 50, {
'ijd': {'count': 4, 'avgtemp': 24},
'ijl': {'count': 96, 'avgtemp': 20},
})
self.run_testcase('abc', 'abd', 'efg', 30,
{'dfg': {'avgtemp': 72.37092377767368, 'avgtime': 475.0, 'count': 1},
'efd': {'avgtemp': 49.421147725239024, 'avgtime': 410.5, 'count': 2},
'efh': {'avgtemp': 19.381658717913258,
'avgtime': 757.1851851851852,
'count': 27}})
self.run_testcase('abc', 'abd', 'ijk', 30,
{'ijd': {'avgtemp': 14.691978036611559, 'avgtime': 453.0, 'count': 1},
'ijl': {'avgtemp': 22.344023091153964,
'avgtime': 742.1428571428571,
'count': 28},
'jjk': {'avgtemp': 11.233344554288019, 'avgtime': 595.0, 'count': 1}})
def test_abc_xyz(self):
self.run_testcase('abc', 'abd', 'xyz', 20, {
'xyd': {'count': 100, 'avgtemp': 19},
})
self.run_testcase('abc', 'abd', 'xyz', 100,
{'dyz': {'avgtemp': 26.143509984937367, 'avgtime': 9866.625, 'count': 8},
'wyz': {'avgtemp': 12.249539212574128,
'avgtime': 9520.666666666666,
'count': 18},
'xyd': {'avgtemp': 38.73402068486291, 'avgtime': 7439.225, 'count': 40},
'xyy': {'avgtemp': 24.614440709519627, 'avgtime': 3522.625, 'count': 8},
'xyz': {'avgtemp': 57.674822842028945, 'avgtime': 8315.2, 'count': 5},
'yyz': {'avgtemp': 26.874886217740315,
'avgtime': 8493.142857142857,
'count': 21}})
def test_ambiguous_case(self):
self.run_testcase('abc', 'abd', 'ijkk', 50, {
'ijkkk': {'count': 7, 'avgtemp': 21},
'ijll': {'count': 47, 'avgtemp': 28},
'ijkl': {'count': 44, 'avgtemp': 32},
'ijkd': {'count': 2, 'avgtemp': 65},
})
self.run_testcase('abc', 'abd', 'ijkk', 100,
{'ijd': {'avgtemp': 55.6767488926397, 'avgtime': 948.0, 'count': 1},
'ijkd': {'avgtemp': 78.09357723857647, 'avgtime': 424.5, 'count': 2},
'ijkk': {'avgtemp': 68.54252699118226, 'avgtime': 905.5, 'count': 2},
'ijkkk': {'avgtemp': 21.75444235750483,
'avgtime': 2250.3333333333335,
'count': 3},
'ijkl': {'avgtemp': 38.079858245918466,
'avgtime': 1410.2391304347825,
'count': 46},
'ijll': {'avgtemp': 27.53845719945872,
'avgtime': 1711.8863636363637,
'count': 44},
'jjkk': {'avgtemp': 75.76606718990365, 'avgtime': 925.0, 'count': 2}})
def test_mrrjjj(self):
self.run_testcase('abc', 'abd', 'mrrjjj', 50, {
'mrrjjjj': {'count': 4, 'avgtemp': 16},
'mrrkkk': {'count': 31, 'avgtemp': 47},
'mrrjjk': {'count': 64, 'avgtemp': 51},
'mrrjkk': {'count': 1, 'avgtemp': 52},
'mrrjjd': {'count': 1, 'avgtemp': 54},
})
self.run_testcase('abc', 'abd', 'mrrjjj', 30,
{'drrjjj': {'avgtemp': 47.3961, 'avgtime': 1538.0, 'count': 1},
'mrrjjd': {'avgtemp': 70.5363, 'avgtime': 681.0, 'count': 1},
'mrrjjjj': {'avgtemp': 19.1294, 'avgtime': 2075.0, 'count': 1},
'mrrjjk': {'avgtemp': 48.0952,
'avgtime': 2203.5714,
'count': 14},
'mrrkkk': {'avgtemp': 43.6931,
'avgtime': 2251.4615,
'count': 13}})
'''
Below are examples of improvements that could be made to copycat.
def test_elongation(self):
# This isn't remotely what a human would say.
self.run_testcase('abc', 'aabbcc', 'milk', 50, {
'milj': {'count': 85, 'avgtemp': 55},
'mikj': {'count': 10, 'avgtemp': 56},
'milk': {'count': 1, 'avgtemp': 56},
'lilk': {'count': 1, 'avgtemp': 57},
'milb': {'count': 3, 'avgtemp': 57},
})
self.run_testcase('abc', 'aabbcc', 'milk', 30,
{'lilk': {'avgtemp': 68.18128407669258,
'avgtime': 1200.6666666666667,
'count': 3},
'mikj': {'avgtemp': 57.96973195905564,
'avgtime': 1236.888888888889,
'count': 9},
'milb': {'avgtemp': 79.98413990245763, 'avgtime': 255.0, 'count': 1},
'milj': {'avgtemp': 64.95289549955349, 'avgtime': 1192.4, 'count': 15},
'milk': {'avgtemp': 66.11387816293755, 'avgtime': 1891.5, 'count': 2}})
def test_repairing_successor_sequence(self):
# This isn't remotely what a human would say.
self.run_testcase('aba', 'abc', 'xyx', 50, {
'xc': {'count': 9, 'avgtemp': 57},
'xyc': {'count': 82, 'avgtemp': 59},
'cyx': {'count': 7, 'avgtemp': 68},
'xyx': {'count': 2, 'avgtemp': 69},
})
self.run_testcase('aba', 'abc', 'xyx', 30,
{'cyx': {'avgtemp': 82.10555880340601, 'avgtime': 2637.0, 'count': 2},
'xc': {'avgtemp': 73.98845045179358, 'avgtime': 5459.5, 'count': 2},
'xyc': {'avgtemp': 77.1384941639991,
'avgtime': 4617.434782608696,
'count': 23},
'xyx': {'avgtemp': 74.39287653046891, 'avgtime': 3420.0, 'count': 3}})
def test_nonsense(self):
self.run_testcase('cat', 'dog', 'cake', 10, {
'cakg': {'count': 99, 'avgtemp': 70},
@ -134,6 +142,7 @@ class TestCopycat(unittest.TestCase):
'kitteg': {'count': 96, 'avgtemp': 66},
'kitten': {'count': 4, 'avgtemp': 68},
})
'''
if __name__ == '__main__':