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t_fit.py
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t_fit.py
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"""unit tests for fit module"""
import unittest
import pickle
import sys
from io import StringIO
import numpy as np
from numpy import logspace, log10, log, vstack
from gpfit.fit import MaxAffine, SoftmaxAffine, ImplicitSoftmaxAffine
SEED = 33404
class TestFit(unittest.TestCase):
"""Test fit class"""
np.random.seed(SEED)
u = logspace(0, log10(3), 101)
w = (u**2 + 3)/(u + 1)**2
x = log(u)
y = log(w)
K = 3
def test_max_affine(self):
np.random.seed(SEED)
f = MaxAffine(self.x, self.y, self.K)
self.assertTrue(f.error["rms"] < 1e-2)
self.assertEqual(f.__repr__(), (
"w = 0.807159 * (u_1)**-0.0703921\n"
"w = 0.995106 * (u_1)**-0.431386\n"
"w = 0.92288 * (u_1)**-0.247099"
))
def test_softmax_affine(self):
np.random.seed(SEED)
f = SoftmaxAffine(self.x, self.y, self.K)
self.assertTrue(f.error["rms"] < 1e-4)
self.assertEqual(f.__repr__(), (
"w**3.44109 = 0.15339 * (u_1)**0.584655\n"
" + 0.431128 * (u_1)**-2.14831\n"
" + 0.415776 * (u_1)**-2.14794"
))
def test_implicit_softmax_affine(self):
np.random.seed(SEED)
f = ImplicitSoftmaxAffine(self.x, self.y, self.K)
self.assertTrue(f.error["rms"] < 1e-5)
self.assertEqual(f.__repr__(), (
"1 = (0.947385/w**0.0920329) * (u_1)**0.0176859\n"
" + (0.992721/w**0.349639) * (u_1)**-0.201861\n"
" + (0.961596/w**0.116677) * (u_1)**-0.0112199"
))
def test_incorrect_inputs(self):
with self.assertRaises(ValueError):
MaxAffine(self.x, vstack((self.y, self.y)), self.K)
def test_save_and_load(self):
np.random.seed(SEED)
f1 = ImplicitSoftmaxAffine(self.x, self.y, self.K)
f1.save("artifacts/fit.pkl")
strings1 = f1.__repr__()
f2 = pickle.load(open("artifacts/fit.pkl", "rb"))
self.assertTrue(f2.error["rms"] < 1e-5)
strings2 = f2.__repr__()
self.assertEqual(strings1, strings2)
def test_savetxt(self):
np.random.seed(SEED)
f = ImplicitSoftmaxAffine(self.x, self.y, self.K)
f.savetxt("artifacts/fit.txt")
with open("artifacts/fit.txt", "r") as f:
fitstring = f.read()
self.assertEqual(fitstring, (
"1 = (0.947385/w**0.0920329) * (u_1)**0.0176859\n"
" + (0.992721/w**0.349639) * (u_1)**-0.201861\n"
" + (0.961596/w**0.116677) * (u_1)**-0.0112199"
))
def test_verbosity_1(self):
captured_output = StringIO()
sys.stdout = captured_output
np.random.seed(SEED)
ImplicitSoftmaxAffine(self.x, self.y, self.K, verbosity=1)
sys.stdout = sys.__stdout__
expected_output = (
"Generated ImplicitSoftmaxAffine fit with 3 terms.\n"
"\n"
"Fit\n"
"---\n"
"1 = (0.947385/w**0.0920329) * (u_1)**0.0176859\n"
" + (0.992721/w**0.349639) * (u_1)**-0.201861\n"
" + (0.961596/w**0.116677) * (u_1)**-0.0112199\n"
"\n"
"Error\n"
"-----\n"
"RMS: 8.1e-05%\n"
"Max: 0.00035%\n\n"
)
self.assertEqual(expected_output, captured_output.getvalue())
TESTS = [TestFit]
if __name__ == '__main__':
SUITE = unittest.TestSuite()
LOADER = unittest.TestLoader()
for t in TESTS:
SUITE.addTests(LOADER.loadTestsFromTestCase(t))
unittest.TextTestRunner(verbosity=2).run(SUITE)