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""" 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=np.float)
y = arange(N, dtype=np.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=np.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()
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