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test__datasource.py
9.91
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2013-04-07 01:04
test__datasource.pyc
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2018-04-10 19:40
test__datasource.pyo
15.95
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2018-04-10 19:40
test__iotools.py
13.12
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2013-04-07 01:04
test__iotools.pyc
14.4
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test__iotools.pyo
14.4
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2018-04-10 19:40
test_arraypad.py
23.84
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2013-04-07 01:04
test_arraypad.pyc
29.81
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2018-04-10 19:40
test_arraypad.pyo
29.81
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2018-04-10 19:40
test_arraysetops.py
7.52
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2013-04-07 01:04
test_arraysetops.pyc
7.88
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2018-04-10 19:40
test_arraysetops.pyo
7.88
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2018-04-10 19:40
test_arrayterator.py
1.4
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2013-04-07 01:04
test_arrayterator.pyc
1.98
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2018-04-10 19:40
test_arrayterator.pyo
1.98
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test_financial.py
5.32
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2013-04-07 01:04
test_financial.pyc
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2018-04-10 19:40
test_financial.pyo
6.21
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2018-04-10 19:40
test_format.py
25.04
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test_format.pyc
25
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test_format.pyo
25
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test_function_base.py
50.27
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2013-04-07 01:04
test_function_base.pyc
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test_function_base.pyo
72.44
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2018-04-10 19:40
test_index_tricks.py
8.98
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2013-04-07 01:04
test_index_tricks.pyc
12.25
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test_index_tricks.pyo
12.25
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test_io.py
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test_io.pyc
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test_io.pyo
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test_polynomial.py
4.41
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2013-04-07 01:04
test_polynomial.pyc
6.1
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2018-04-10 19:40
test_polynomial.pyo
6.1
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2018-04-10 19:40
test_recfunctions.py
27.93
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2013-04-07 01:04
test_recfunctions.pyc
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2018-04-10 19:40
test_recfunctions.pyo
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test_regression.py
8.02
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test_regression.pyc
13.26
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test_regression.pyo
13.26
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test_shape_base.py
9.92
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2013-04-07 01:04
test_shape_base.pyc
15.89
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test_shape_base.pyo
15.89
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2018-04-10 19:40
test_stride_tricks.py
6.79
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2013-04-07 01:04
test_stride_tricks.pyc
8.92
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test_stride_tricks.pyo
8.92
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test_twodim_base.py
11.38
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test_twodim_base.pyc
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test_twodim_base.pyo
15.93
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test_type_check.py
10.33
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test_type_check.pyc
18.71
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test_type_check.pyo
18.71
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test_ufunclike.py
1.88
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2013-04-07 01:04
test_ufunclike.pyc
3.33
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2018-04-10 19:40
test_ufunclike.pyo
3.33
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test_utils.py
920
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test_utils.pyc
2.13
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2018-04-10 19:40
test_utils.pyo
2.13
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from numpy.testing import * from numpy.lib import * from numpy.core import * from numpy import matrix, asmatrix class TestApplyAlongAxis(TestCase): def test_simple(self): a = ones((20,10),'d') assert_array_equal(apply_along_axis(len,0,a),len(a)*ones(shape(a)[1])) def test_simple101(self,level=11): a = ones((10,101),'d') assert_array_equal(apply_along_axis(len,0,a),len(a)*ones(shape(a)[1])) def test_3d(self): a = arange(27).reshape((3,3,3)) assert_array_equal(apply_along_axis(sum,0,a), [[27,30,33],[36,39,42],[45,48,51]]) class TestApplyOverAxes(TestCase): def test_simple(self): a = arange(24).reshape(2,3,4) aoa_a = apply_over_axes(sum, a, [0,2]) assert_array_equal(aoa_a, array([[[60],[92],[124]]])) class TestArraySplit(TestCase): def test_integer_0_split(self): a = arange(10) try: res = array_split(a,0) assert_(0) # it should have thrown a value error except ValueError: pass def test_integer_split(self): a = arange(10) res = array_split(a,1) desired = [arange(10)] compare_results(res,desired) res = array_split(a,2) desired = [arange(5),arange(5,10)] compare_results(res,desired) res = array_split(a,3) desired = [arange(4),arange(4,7),arange(7,10)] compare_results(res,desired) res = array_split(a,4) desired = [arange(3),arange(3,6),arange(6,8),arange(8,10)] compare_results(res,desired) res = array_split(a,5) desired = [arange(2),arange(2,4),arange(4,6),arange(6,8),arange(8,10)] compare_results(res,desired) res = array_split(a,6) desired = [arange(2),arange(2,4),arange(4,6),arange(6,8),arange(8,9), arange(9,10)] compare_results(res,desired) res = array_split(a,7) desired = [arange(2),arange(2,4),arange(4,6),arange(6,7),arange(7,8), arange(8,9), arange(9,10)] compare_results(res,desired) res = array_split(a,8) desired = [arange(2),arange(2,4),arange(4,5),arange(5,6),arange(6,7), arange(7,8), arange(8,9), arange(9,10)] compare_results(res,desired) res = array_split(a,9) desired = [arange(2),arange(2,3),arange(3,4),arange(4,5),arange(5,6), arange(6,7), arange(7,8), arange(8,9), arange(9,10)] compare_results(res,desired) res = array_split(a,10) desired = [arange(1),arange(1,2),arange(2,3),arange(3,4), arange(4,5),arange(5,6), arange(6,7), arange(7,8), arange(8,9), arange(9,10)] compare_results(res,desired) res = array_split(a,11) desired = [arange(1),arange(1,2),arange(2,3),arange(3,4), arange(4,5),arange(5,6), arange(6,7), arange(7,8), arange(8,9), arange(9,10),array([])] compare_results(res,desired) def test_integer_split_2D_rows(self): a = array([arange(10),arange(10)]) res = array_split(a,3,axis=0) desired = [array([arange(10)]),array([arange(10)]),array([])] compare_results(res,desired) def test_integer_split_2D_cols(self): a = array([arange(10),arange(10)]) res = array_split(a,3,axis=-1) desired = [array([arange(4),arange(4)]), array([arange(4,7),arange(4,7)]), array([arange(7,10),arange(7,10)])] compare_results(res,desired) def test_integer_split_2D_default(self): """ This will fail if we change default axis """ a = array([arange(10),arange(10)]) res = array_split(a,3) desired = [array([arange(10)]),array([arange(10)]),array([])] compare_results(res,desired) #perhaps should check higher dimensions def test_index_split_simple(self): a = arange(10) indices = [1,5,7] res = array_split(a,indices,axis=-1) desired = [arange(0,1),arange(1,5),arange(5,7),arange(7,10)] compare_results(res,desired) def test_index_split_low_bound(self): a = arange(10) indices = [0,5,7] res = array_split(a,indices,axis=-1) desired = [array([]),arange(0,5),arange(5,7),arange(7,10)] compare_results(res,desired) def test_index_split_high_bound(self): a = arange(10) indices = [0,5,7,10,12] res = array_split(a,indices,axis=-1) desired = [array([]),arange(0,5),arange(5,7),arange(7,10), array([]),array([])] compare_results(res,desired) class TestSplit(TestCase): """* This function is essentially the same as array_split, except that it test if splitting will result in an equal split. Only test for this case. *""" def test_equal_split(self): a = arange(10) res = split(a,2) desired = [arange(5),arange(5,10)] compare_results(res,desired) def test_unequal_split(self): a = arange(10) try: res = split(a,3) assert_(0) # should raise an error except ValueError: pass class TestDstack(TestCase): def test_0D_array(self): a = array(1); b = array(2); res=dstack([a,b]) desired = array([[[1,2]]]) assert_array_equal(res,desired) def test_1D_array(self): a = array([1]); b = array([2]); res=dstack([a,b]) desired = array([[[1,2]]]) assert_array_equal(res,desired) def test_2D_array(self): a = array([[1],[2]]); b = array([[1],[2]]); res=dstack([a,b]) desired = array([[[1,1]],[[2,2,]]]) assert_array_equal(res,desired) def test_2D_array2(self): a = array([1,2]); b = array([1,2]); res=dstack([a,b]) desired = array([[[1,1],[2,2]]]) assert_array_equal(res,desired) """ array_split has more comprehensive test of splitting. only do simple test on hsplit, vsplit, and dsplit """ class TestHsplit(TestCase): """ only testing for integer splits. """ def test_0D_array(self): a= array(1) try: hsplit(a,2) assert_(0) except ValueError: pass def test_1D_array(self): a= array([1,2,3,4]) res = hsplit(a,2) desired = [array([1,2]),array([3,4])] compare_results(res,desired) def test_2D_array(self): a= array([[1,2,3,4], [1,2,3,4]]) res = hsplit(a,2) desired = [array([[1,2],[1,2]]),array([[3,4],[3,4]])] compare_results(res,desired) class TestVsplit(TestCase): """ only testing for integer splits. """ def test_1D_array(self): a= array([1,2,3,4]) try: vsplit(a,2) assert_(0) except ValueError: pass def test_2D_array(self): a= array([[1,2,3,4], [1,2,3,4]]) res = vsplit(a,2) desired = [array([[1,2,3,4]]),array([[1,2,3,4]])] compare_results(res,desired) class TestDsplit(TestCase): """ only testing for integer splits. """ def test_2D_array(self): a= array([[1,2,3,4], [1,2,3,4]]) try: dsplit(a,2) assert_(0) except ValueError: pass def test_3D_array(self): a= array([[[1,2,3,4], [1,2,3,4]], [[1,2,3,4], [1,2,3,4]]]) res = dsplit(a,2) desired = [array([[[1,2],[1,2]],[[1,2],[1,2]]]), array([[[3,4],[3,4]],[[3,4],[3,4]]])] compare_results(res,desired) class TestSqueeze(TestCase): def test_basic(self): a = rand(20,10,10,1,1) b = rand(20,1,10,1,20) c = rand(1,1,20,10) assert_array_equal(squeeze(a),reshape(a,(20,10,10))) assert_array_equal(squeeze(b),reshape(b,(20,10,20))) assert_array_equal(squeeze(c),reshape(c,(20,10))) # Squeezing to 0-dim should still give an ndarray a = [[[1.5]]] res = squeeze(a) assert_equal(res, 1.5) assert_equal(res.ndim, 0) assert_equal(type(res), ndarray) class TestKron(TestCase): def test_return_type(self): a = ones([2,2]) m = asmatrix(a) assert_equal(type(kron(a,a)), ndarray) assert_equal(type(kron(m,m)), matrix) assert_equal(type(kron(a,m)), matrix) assert_equal(type(kron(m,a)), matrix) class myarray(ndarray): __array_priority__ = 0.0 ma = myarray(a.shape, a.dtype, a.data) assert_equal(type(kron(a,a)), ndarray) assert_equal(type(kron(ma,ma)), myarray) assert_equal(type(kron(a,ma)), ndarray) assert_equal(type(kron(ma,a)), myarray) class TestTile(TestCase): def test_basic(self): a = array([0,1,2]) b = [[1,2],[3,4]] assert_equal(tile(a,2), [0,1,2,0,1,2]) assert_equal(tile(a,(2,2)), [[0,1,2,0,1,2],[0,1,2,0,1,2]]) assert_equal(tile(a,(1,2)), [[0,1,2,0,1,2]]) assert_equal(tile(b, 2), [[1,2,1,2],[3,4,3,4]]) assert_equal(tile(b,(2,1)),[[1,2],[3,4],[1,2],[3,4]]) assert_equal(tile(b,(2,2)),[[1,2,1,2],[3,4,3,4], [1,2,1,2],[3,4,3,4]]) def test_empty(self): a = array([[[]]]) d = tile(a,(3,2,5)).shape assert_equal(d,(3,2,0)) def test_kroncompare(self): import numpy.random as nr reps=[(2,),(1,2),(2,1),(2,2),(2,3,2),(3,2)] shape=[(3,),(2,3),(3,4,3),(3,2,3),(4,3,2,4),(2,2)] for s in shape: b = nr.randint(0,10,size=s) for r in reps: a = ones(r, b.dtype) large = tile(b, r) klarge = kron(a, b) assert_equal(large, klarge) # Utility def compare_results(res,desired): for i in range(len(desired)): assert_array_equal(res[i],desired[i]) if __name__ == "__main__": run_module_suite()