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| author | Stefan Behnel <stefan_ml@behnel.de> | 2017-10-21 21:45:24 +0200 |
|---|---|---|
| committer | Stefan Behnel <stefan_ml@behnel.de> | 2017-10-22 12:41:18 +0200 |
| commit | 27ec276b12ef0e3bc2b82c9f29d0c496cc4ffccf (patch) | |
| tree | 37575b5e21a7b2c290eaff68aa278234b8242d85 | |
| parent | b67bfd5c422801cd5062bbc39b251d20bfd45bda (diff) | |
| download | cython-27ec276b12ef0e3bc2b82c9f29d0c496cc4ffccf.tar.gz | |
Fix test output of Pythran test and give a better name to a test function.
| -rw-r--r-- | tests/run/numpy_pythran.pyx | 9 |
1 files changed, 5 insertions, 4 deletions
diff --git a/tests/run/numpy_pythran.pyx b/tests/run/numpy_pythran.pyx index 8d7565b60..e854c5fae 100644 --- a/tests/run/numpy_pythran.pyx +++ b/tests/run/numpy_pythran.pyx @@ -5,9 +5,9 @@ import numpy as np cimport numpy as cnp -def test(): +def diffuse(): """ - >>> u = test() + >>> u = diffuse() >>> count_non_zero = np.sum(u > 0) >>> 15000 < count_non_zero < (2**7) * (2**7) or count_non_zero True @@ -15,11 +15,11 @@ def test(): lx, ly = (2**7, 2**7) u = np.zeros([lx, ly], dtype=np.double) u[lx // 2, ly // 2] = 1000.0 - diffuse_numpy(u, 500) + _diffuse_numpy(u, 500) return u -def diffuse_numpy(cnp.ndarray[double, ndim=2] u, int N): +def _diffuse_numpy(cnp.ndarray[double, ndim=2] u, int N): """ Apply Numpy matrix for the Forward-Euler Approximation """ @@ -41,6 +41,7 @@ def calculate_tax(cnp.ndarray[double, ndim=1] d): >>> d = np.random.lognormal(mu, sigma, 10000) >>> avg = calculate_tax(d) >>> 0.243 < avg < 0.244 or avg # 0.24342652180085891 + True """ tax_seg1 = d[(d > 256303)] * 0.45 - 16164.53 tax_seg2 = d[(d > 54057) & (d <= 256303)] * 0.42 - 8475.44 |