""" module to test interpolate_wrapper.py """ from __future__ import division, print_function, absolute_import # Unit Test import unittest from numpy import arange, allclose, ones, isnan import numpy as np # functionality to be tested from scipy.interpolate.interpolate_wrapper import (linear, logarithmic, block_average_above, nearest) class Test(unittest.TestCase): def assertAllclose(self, x, y, rtol=1.0e-5): for i, xi in enumerate(x): self.assertTrue(allclose(xi, y[i], rtol) or (isnan(xi) and isnan(y[i]))) def test_nearest(self): N = 5 x = arange(N) y = arange(N) self.assertAllclose(y, nearest(x, y, x+.1)) self.assertAllclose(y, nearest(x, y, x-.1)) def test_linear(self): N = 3000. x = arange(N) y = arange(N) new_x = arange(N)+0.5 new_y = linear(x, y, new_x) self.assertAllclose(new_y[:5], [0.5, 1.5, 2.5, 3.5, 4.5]) def test_block_average_above(self): N = 3000 x = arange(N, dtype=float) y = arange(N, dtype=float) new_x = arange(N // 2) * 2 new_y = block_average_above(x, y, new_x) self.assertAllclose(new_y[:5], [0.0, 0.5, 2.5, 4.5, 6.5]) def test_linear2(self): N = 3000 x = arange(N, dtype=float) y = ones((100,N)) * arange(N) new_x = arange(N) + 0.5 new_y = linear(x, y, new_x) self.assertAllclose(new_y[:5,:5], [[0.5, 1.5, 2.5, 3.5, 4.5], [0.5, 1.5, 2.5, 3.5, 4.5], [0.5, 1.5, 2.5, 3.5, 4.5], [0.5, 1.5, 2.5, 3.5, 4.5], [0.5, 1.5, 2.5, 3.5, 4.5]]) def test_logarithmic(self): N = 4000. x = arange(N) y = arange(N) new_x = arange(N)+0.5 new_y = logarithmic(x, y, new_x) correct_y = [np.NaN, 1.41421356, 2.44948974, 3.46410162, 4.47213595] self.assertAllclose(new_y[:5], correct_y) def runTest(self): test_list = [name for name in dir(self) if name.find('test_') == 0] for test_name in test_list: exec("self.%s()" % test_name) if __name__ == '__main__': unittest.main()