annotate tests/testall.py @ 80:3c7927f59b05

notes to self re deep neural networks
author Jeff Hammel <k0scist@gmail.com>
date Sun, 17 Dec 2017 13:43:42 -0800
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1 #!/usr/bin/env python
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3 """
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4 run all unit tests
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5 """
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6
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7 import os
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8 import sys
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9 import unittest
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11 here = os.path.dirname(os.path.abspath(__file__))
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13 def main(args=sys.argv[1:]):
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15 results = unittest.TestResult()
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16 suite = unittest.TestLoader().discover(here, 'test_*.py')
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17 suite.run(results)
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18 n_errors = len(results.errors)
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19 n_failures = len(results.failures)
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20 print ("Run {} tests ({} failures; {} errors)".format(results.testsRun,
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21 n_failures,
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22 n_errors))
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23 if results.wasSuccessful():
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24 print ("Success")
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25 sys.exit(0)
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26 else:
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27 # print failures and errors
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28 for label, item in (('FAIL', results.failures),
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29 ('ERROR', results.errors)):
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30 if item:
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31 print ("\n{}::\n".format(label))
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32 for index, (i, message) in enumerate(item):
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33 print ('{}) {}:'.format(index, str(i)))
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34 print (message)
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35 sys.exit(1)
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36
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37 if __name__ == '__main__':
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38 main()
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