rcmet/src/main/python/tests/test_metrics.py

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import unittest

import toolkit.metrics

import numpy as np
import numpy.ma as ma


class TestCalcPdf(unittest.TestCase):
    
    def testUsingSettingsKwarg(self):

        # declare and initialize 1d arrays (mimick timeseries)
        good_pdf = '0.091'
      
        # declare and initialize  3d(time,lat,lon) type array
        evaluationDataset = np.arange(0, 12, 0.5)
        evaluationDataset = evaluationDataset.reshape(4, 2, 3)
        evaluationDataset = ma.array(evaluationDataset)
    
        referenceDataset = np.arange(10, 34)
        referenceDataset = referenceDataset.reshape(4, 2, 3)
        referenceDataset = ma.array(referenceDataset)

        settings = (3, 10, 20)

        pdf =  '%.3f' % toolkit.metrics.calcPdf(evaluationDataset, referenceDataset, settings)
        # Checking accuracy to 3 decimal places using a simple string comparison
        self.assertEqual(pdf, good_pdf)
        

if __name__ == '__main__':
    unittest.main()