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author | Stefan van der Walt <stefan@sun.ac.za> | 2007-01-08 21:56:54 +0000 |
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committer | Stefan van der Walt <stefan@sun.ac.za> | 2007-01-08 21:56:54 +0000 |
commit | 1bd2d49ef378fb869d015cef32c3e44a4c03a8f0 (patch) | |
tree | 43335baf1da0b6e9de0ad806e721a077e3cbfa45 /numpy/lib/tests/test_function_base.py | |
parent | 98b6d48b07f4eadfb7d1fc41483debe7e07eecd6 (diff) | |
download | numpy-1bd2d49ef378fb869d015cef32c3e44a4c03a8f0.tar.gz |
Whitespace cleanup.
Diffstat (limited to 'numpy/lib/tests/test_function_base.py')
-rw-r--r-- | numpy/lib/tests/test_function_base.py | 25 |
1 files changed, 12 insertions, 13 deletions
diff --git a/numpy/lib/tests/test_function_base.py b/numpy/lib/tests/test_function_base.py index c3eaa9dd2..58f73ec5f 100644 --- a/numpy/lib/tests/test_function_base.py +++ b/numpy/lib/tests/test_function_base.py @@ -1,4 +1,3 @@ - import sys from numpy.testing import * @@ -93,7 +92,7 @@ class test_linspace(NumpyTestCase): t3 = linspace(0,1,2).dtype assert_equal(t1, t2) assert_equal(t2, t3) - + class test_insert(NumpyTestCase): def check_basic(self): a = [1,2,3] @@ -276,23 +275,23 @@ class test_vectorize(NumpyTestCase): f = vectorize(addsubtract) r = f([0,3,6,9],5) assert_array_equal(r,[5,8,1,4]) - def check_large(self): - x = linspace(-3,2,10000) - f = vectorize(lambda x: x) - y = f(x) - assert_array_equal(y, x) + def check_large(self): + x = linspace(-3,2,10000) + f = vectorize(lambda x: x) + y = f(x) + assert_array_equal(y, x) class test_digitize(NumpyTestCase): def check_forward(self): x = arange(-6,5) bins = arange(-5,5) assert_array_equal(digitize(x,bins),arange(11)) - + def check_reverse(self): x = arange(5,-6,-1) bins = arange(5,-5,-1) assert_array_equal(digitize(x,bins),arange(11)) - + def check_random(self): x = rand(10) bin = linspace(x.min(), x.max(), 10) @@ -378,12 +377,12 @@ class test_histogramdd(NumpyTestCase): # Check that a sequence of arrays is accepted and H has the correct shape. z = [squeeze(y) for y in split(x,3,axis=1)] H, edges = histogramdd(z, bins=(4,3,2),range=[[-2,2], [0,3], [0,2]]) - answer = asarray([[[0,0],[0,0],[0,0]], - [[0,1], [0,0], [1,0]], - [[0,1], [0,0],[0,0]], + answer = asarray([[[0,0],[0,0],[0,0]], + [[0,1], [0,0], [1,0]], + [[0,1], [0,0],[0,0]], [[0,0],[0,0],[0,0]]]) assert_array_equal(H, answer) - + class test_unique(NumpyTestCase): def check_simple(self): |