FAQ | This is a LIVE service | Changelog

Skip to content
Snippets Groups Projects
Commit e6ea0cd3 authored by M.D. Driver's avatar M.D. Driver
Browse files

updates due to change in resultsanalysis repository.

parent 1fab004c
No related branches found
No related tags found
No related merge requests found
......@@ -22,9 +22,10 @@ class PolynomialDataReaderTestCase(unittest.TestCase):
"""Set up for tests.
"""
self.expected_list = [['Order','Fit Range', 'RMSE', 'Covariance', 'Coefficients'],
['1', 'All', '0.0154303', '0.0007143', '-0.0500000', '1.0714286']]
['1', 'All', '0.0154303350', '7.142857142857E-04',
'-5.000000000000E-02', '1.071428571429E+00']]
self.expected_data_by_solvent_id = {"expected,poly,fit":{1:{"coefficients":np.array([-0.05,
1.07142857]),
1.071428571429]),
"RMSE":0.015430334996209221,
"order":1,
"covar":0.0007143}}}
......
......@@ -36,10 +36,10 @@ class PolynomialDataWriterTestCase(unittest.TestCase):
Value(0.5, 'Log(Sw)', Units.dimensionless), 'EXAMPLE3')])
self.datapoints.createDataArrays()
self.expected_polynomial_data = {1:{"coefficients":np.array([-0.05,
1.07142857]),
1.071428571429]),
"RMSE":0.015430334996209221,
"order":1,
"covar":np.array([0.0007143])}}
"covar":np.array([0.0007142857142857])}}
self.expected_file_name = "resources/expected_poly_fit.csv"
def tearDown(self):
"""Tear down after tests
......@@ -66,10 +66,10 @@ class PolynomialDataWriterTestCase(unittest.TestCase):
'EXAMPLE3'])
self.assertEqual(0, poly_file_out)
with open(expected_file_name, 'r') as exp_file:
exp_file_lines = exp_file.readlines()
exp_file_lines = exp_file.read()
with open(actual_file_name, 'r') as act_file:
act_file_lines = act_file.readlines()
self.assertListEqual(act_file_lines, exp_file_lines)
act_file_lines = act_file.read()
self.assertMultiLineEqual(act_file_lines, exp_file_lines)
def test_write_poly_data_to_file(self):
"""Test to see if expected file is produced.
"""
......@@ -78,10 +78,10 @@ class PolynomialDataWriterTestCase(unittest.TestCase):
[1], actual_file_name)
self.assertEqual(0, poly_file_out)
with open(self.expected_file_name, 'r') as exp_file:
exp_file_lines = exp_file.readlines()
exp_file_lines = exp_file.read()
with open(actual_file_name, 'r') as act_file:
act_file_lines = act_file.readlines()
self.assertListEqual(act_file_lines, exp_file_lines)
act_file_lines = act_file.read()
self.assertMultiLineEqual(act_file_lines, exp_file_lines)
def test_write_poly_fit_data_to_file(self):
"""Test to see if expected file is produced.
"""
......@@ -90,10 +90,10 @@ class PolynomialDataWriterTestCase(unittest.TestCase):
actual_file_name)
self.assertEqual(0, poly_file_out)
with open(self.expected_file_name, 'r') as exp_file:
exp_file_lines = exp_file.readlines()
exp_file_lines = exp_file.read()
with open(actual_file_name, 'r') as act_file:
act_file_lines = act_file.readlines()
self.assertListEqual(act_file_lines, exp_file_lines)
act_file_lines = act_file.read()
self.assertMultiLineEqual(act_file_lines, exp_file_lines)
def test_generate_poly_fit_data_order_list_split_fit(self):
"""Test to see if expected dictionary is returned.
"""
......
Order Fit Range RMSE Covariance Coefficients
1 All 0.0154303 0.0007143 -0.0500000 1.0714286
1 All 0.0154303350 7.142857142857E-04 -5.000000000000E-02 1.071428571429E+00
Order Fit Range RMSE Covariance Coefficients
1 positive 0.0154303 0.0007143 -0.0500000 1.0714286
1 negative 0.0154303 0.0007143 -0.0500000 1.0714286
1 positive 0.0154303350 7.142857142857E-04 -5.000000000000E-02 1.071428571429E+00
1 negative 0.0154303350 7.142857142857E-04 -5.000000000000E-02 1.071428571429E+00
Order Fit Range RMSE Covariance Coefficients
2 All 4.0483148 180.2773802 -3.5005663 -0.7862852 -0.2194883
4 All 0.3415296 1.2830673 0.5181064 0.2546154 -0.3766517 -0.0206377 -0.0003760
2 All 4.0483148029 1.802773801770E+02 -3.500566341820E+00 -7.862851828746E-01 -2.194883219214E-01
4 All 0.3415296254 1.283067334917E+00 5.181063564258E-01 2.546154441813E-01 -3.766516658949E-01 -2.063766915193E-02 -3.760100956862E-04
Order Fit Range RMSE Covariance Coefficients
2 positive 0.0000000 1.2077460 -0.8992891 -0.3969325
2 negative 0.0188857 0.0017833 6.3245323 2.8927088 -0.0017566
4 positive 0.0000000 1.3515748 -1.3179762 -0.1267861 -0.0151557 -0.0020380
4 negative 0.0000000 5.0388427 2.2906276 -0.0985583 -0.0064807 -0.0001546
2 positive 0.0000000000 1.207745983893E+00 -8.992891495144E-01 -3.969324545381E-01
2 negative 0.0188856511 1.783339090217E-03 6.324532283352E+00 2.892708835890E+00 -1.756642146001E-03
4 positive 0.0000000000 1.351574765483E+00 -1.317976202630E+00 -1.267861157836E-01 -1.515573075910E-02 -2.037974009318E-03
4 negative 0.0000000000 5.038842703124E+00 2.290627584013E+00 -9.855829501750E-02 -6.480660276549E-03 -1.545673352234E-04
Order Fit Range RMSE Covariance Coefficients
2 All 0.0188857 0.0017833 6.3245323 2.8927088 -0.0017566
4 All 0.0000000 5.0388427 2.2906276 -0.0985583 -0.0064807 -0.0001546
2 All 0.0188856511 1.783339090217E-03 6.324532283352E+00 2.892708835890E+00 -1.756642146001E-03
4 All 0.0000000000 5.038842703124E+00 2.290627584013E+00 -9.855829501750E-02 -6.480660276549E-03 -1.545673352234E-04
0% Loading or .
You are about to add 0 people to the discussion. Proceed with caution.
Finish editing this message first!
Please register or to comment