diff options
Diffstat (limited to 'numpy/lib/tests/test_index_tricks.py')
| -rw-r--r-- | numpy/lib/tests/test_index_tricks.py | 160 |
1 files changed, 80 insertions, 80 deletions
diff --git a/numpy/lib/tests/test_index_tricks.py b/numpy/lib/tests/test_index_tricks.py index 01b705b5d..9002331ce 100644 --- a/numpy/lib/tests/test_index_tricks.py +++ b/numpy/lib/tests/test_index_tricks.py @@ -8,42 +8,42 @@ from numpy import ( array, ones, r_, mgrid, unravel_index, zeros, where, class TestRavelUnravelIndex(TestCase): def test_basic(self): - assert_equal(np.unravel_index(2,(2,2)), (1,0)) - assert_equal(np.ravel_multi_index((1,0),(2,2)), 2) - assert_equal(np.unravel_index(254,(17,94)), (2,66)) - assert_equal(np.ravel_multi_index((2,66),(17,94)), 254) - assert_raises(ValueError, np.unravel_index, -1, (2,2)) - assert_raises(TypeError, np.unravel_index, 0.5, (2,2)) - assert_raises(ValueError, np.unravel_index, 4, (2,2)) - assert_raises(ValueError, np.ravel_multi_index, (-3,1), (2,2)) - assert_raises(ValueError, np.ravel_multi_index, (2,1), (2,2)) - assert_raises(ValueError, np.ravel_multi_index, (0,-3), (2,2)) - assert_raises(ValueError, np.ravel_multi_index, (0,2), (2,2)) - assert_raises(TypeError, np.ravel_multi_index, (0.1,0.), (2,2)) - - assert_equal(np.unravel_index((2*3 + 1)*6 + 4, (4,3,6)), [2,1,4]) - assert_equal(np.ravel_multi_index([2,1,4], (4,3,6)), (2*3 + 1)*6 + 4) - - arr = np.array([[3,6,6],[4,5,1]]) - assert_equal(np.ravel_multi_index(arr, (7,6)), [22,41,37]) - assert_equal(np.ravel_multi_index(arr, (7,6), order='F'), [31,41,13]) - assert_equal(np.ravel_multi_index(arr, (4,6), mode='clip'), [22,23,19]) - assert_equal(np.ravel_multi_index(arr, (4,4), mode=('clip','wrap')), - [12,13,13]) - assert_equal(np.ravel_multi_index((3,1,4,1), (6,7,8,9)), 1621) - - assert_equal(np.unravel_index(np.array([22, 41, 37]), (7,6)), - [[3, 6, 6],[4, 5, 1]]) - assert_equal(np.unravel_index(np.array([31, 41, 13]), (7,6), order='F'), + assert_equal(np.unravel_index(2, (2, 2)), (1, 0)) + assert_equal(np.ravel_multi_index((1, 0), (2, 2)), 2) + assert_equal(np.unravel_index(254, (17, 94)), (2, 66)) + assert_equal(np.ravel_multi_index((2, 66), (17, 94)), 254) + assert_raises(ValueError, np.unravel_index, -1, (2, 2)) + assert_raises(TypeError, np.unravel_index, 0.5, (2, 2)) + assert_raises(ValueError, np.unravel_index, 4, (2, 2)) + assert_raises(ValueError, np.ravel_multi_index, (-3, 1), (2, 2)) + assert_raises(ValueError, np.ravel_multi_index, (2, 1), (2, 2)) + assert_raises(ValueError, np.ravel_multi_index, (0, -3), (2, 2)) + assert_raises(ValueError, np.ravel_multi_index, (0, 2), (2, 2)) + assert_raises(TypeError, np.ravel_multi_index, (0.1, 0.), (2, 2)) + + assert_equal(np.unravel_index((2*3 + 1)*6 + 4, (4, 3, 6)), [2, 1, 4]) + assert_equal(np.ravel_multi_index([2, 1, 4], (4, 3, 6)), (2*3 + 1)*6 + 4) + + arr = np.array([[3, 6, 6], [4, 5, 1]]) + assert_equal(np.ravel_multi_index(arr, (7, 6)), [22, 41, 37]) + assert_equal(np.ravel_multi_index(arr, (7, 6), order='F'), [31, 41, 13]) + assert_equal(np.ravel_multi_index(arr, (4, 6), mode='clip'), [22, 23, 19]) + assert_equal(np.ravel_multi_index(arr, (4, 4), mode=('clip', 'wrap')), + [12, 13, 13]) + assert_equal(np.ravel_multi_index((3, 1, 4, 1), (6, 7, 8, 9)), 1621) + + assert_equal(np.unravel_index(np.array([22, 41, 37]), (7, 6)), [[3, 6, 6], [4, 5, 1]]) - assert_equal(np.unravel_index(1621, (6,7,8,9)), [3,1,4,1]) + assert_equal(np.unravel_index(np.array([31, 41, 13]), (7, 6), order='F'), + [[3, 6, 6], [4, 5, 1]]) + assert_equal(np.unravel_index(1621, (6, 7, 8, 9)), [3, 1, 4, 1]) def test_dtypes(self): # Test with different data types for dtype in [np.int16, np.uint16, np.int32, np.uint32, np.int64, np.uint64]: - coords = np.array([[1,0,1,2,3,4],[1,6,1,3,2,0]], dtype=dtype) - shape = (5,8) + coords = np.array([[1, 0, 1, 2, 3, 4], [1, 6, 1, 3, 2, 0]], dtype=dtype) + shape = (5, 8) uncoords = 8*coords[0]+coords[1] assert_equal(np.ravel_multi_index(coords, shape), uncoords) assert_equal(coords, np.unravel_index(uncoords, shape)) @@ -51,9 +51,9 @@ class TestRavelUnravelIndex(TestCase): assert_equal(np.ravel_multi_index(coords, shape, order='F'), uncoords) assert_equal(coords, np.unravel_index(uncoords, shape, order='F')) - coords = np.array([[1,0,1,2,3,4],[1,6,1,3,2,0],[1,3,1,0,9,5]], + coords = np.array([[1, 0, 1, 2, 3, 4], [1, 6, 1, 3, 2, 0], [1, 3, 1, 0, 9, 5]], dtype=dtype) - shape = (5,8,10) + shape = (5, 8, 10) uncoords = 10*(8*coords[0]+coords[1])+coords[2] assert_equal(np.ravel_multi_index(coords, shape), uncoords) assert_equal(coords, np.unravel_index(uncoords, shape)) @@ -63,12 +63,12 @@ class TestRavelUnravelIndex(TestCase): def test_clipmodes(self): # Test clipmodes - assert_equal(np.ravel_multi_index([5,1,-1,2], (4,3,7,12), mode='wrap'), - np.ravel_multi_index([1,1,6,2], (4,3,7,12))) - assert_equal(np.ravel_multi_index([5,1,-1,2], (4,3,7,12), - mode=('wrap','raise','clip','raise')), - np.ravel_multi_index([1,1,0,2], (4,3,7,12))) - assert_raises(ValueError, np.ravel_multi_index, [5,1,-1,2], (4,3,7,12)) + assert_equal(np.ravel_multi_index([5, 1, -1, 2], (4, 3, 7, 12), mode='wrap'), + np.ravel_multi_index([1, 1, 6, 2], (4, 3, 7, 12))) + assert_equal(np.ravel_multi_index([5, 1, -1, 2], (4, 3, 7, 12), + mode=('wrap', 'raise', 'clip', 'raise')), + np.ravel_multi_index([1, 1, 0, 2], (4, 3, 7, 12))) + assert_raises(ValueError, np.ravel_multi_index, [5, 1, -1, 2], (4, 3, 7, 12)) class TestGrid(TestCase): def test_basic(self): @@ -77,63 +77,63 @@ class TestGrid(TestCase): assert_(a.shape == (10,)) assert_(b.shape == (20,)) assert_(a[0] == -1) - assert_almost_equal(a[-1],1) + assert_almost_equal(a[-1], 1) assert_(b[0] == -1) - assert_almost_equal(b[1]-b[0],0.1,11) - assert_almost_equal(b[-1],b[0]+19*0.1,11) - assert_almost_equal(a[1]-a[0],2.0/9.0,11) + assert_almost_equal(b[1]-b[0], 0.1, 11) + assert_almost_equal(b[-1], b[0]+19*0.1, 11) + assert_almost_equal(a[1]-a[0], 2.0/9.0, 11) def test_linspace_equivalence(self): - y,st = np.linspace(2,10,retstep=1) - assert_almost_equal(st,8/49.0) - assert_array_almost_equal(y,mgrid[2:10:50j],13) + y, st = np.linspace(2, 10, retstep=1) + assert_almost_equal(st, 8/49.0) + assert_array_almost_equal(y, mgrid[2:10:50j], 13) def test_nd(self): - c = mgrid[-1:1:10j,-2:2:10j] - d = mgrid[-1:1:0.1,-2:2:0.2] - assert_(c.shape == (2,10,10)) - assert_(d.shape == (2,20,20)) - assert_array_equal(c[0][0,:],-ones(10,'d')) - assert_array_equal(c[1][:,0],-2*ones(10,'d')) - assert_array_almost_equal(c[0][-1,:],ones(10,'d'),11) - assert_array_almost_equal(c[1][:,-1],2*ones(10,'d'),11) - assert_array_almost_equal(d[0,1,:]-d[0,0,:], 0.1*ones(20,'d'),11) - assert_array_almost_equal(d[1,:,1]-d[1,:,0], 0.2*ones(20,'d'),11) + c = mgrid[-1:1:10j, -2:2:10j] + d = mgrid[-1:1:0.1, -2:2:0.2] + assert_(c.shape == (2, 10, 10)) + assert_(d.shape == (2, 20, 20)) + assert_array_equal(c[0][0,:], -ones(10, 'd')) + assert_array_equal(c[1][:, 0], -2*ones(10, 'd')) + assert_array_almost_equal(c[0][-1,:], ones(10, 'd'), 11) + assert_array_almost_equal(c[1][:, -1], 2*ones(10, 'd'), 11) + assert_array_almost_equal(d[0, 1,:]-d[0, 0,:], 0.1*ones(20, 'd'), 11) + assert_array_almost_equal(d[1,:, 1]-d[1,:, 0], 0.2*ones(20, 'd'), 11) class TestConcatenator(TestCase): def test_1d(self): - assert_array_equal(r_[1,2,3,4,5,6],array([1,2,3,4,5,6])) + assert_array_equal(r_[1, 2, 3, 4, 5, 6], array([1, 2, 3, 4, 5, 6])) b = ones(5) - c = r_[b,0,0,b] - assert_array_equal(c,[1,1,1,1,1,0,0,1,1,1,1,1]) + c = r_[b, 0, 0, b] + assert_array_equal(c, [1, 1, 1, 1, 1, 0, 0, 1, 1, 1, 1, 1]) def test_mixed_type(self): g = r_[10.1, 1:10] assert_(g.dtype == 'f8') def test_more_mixed_type(self): - g = r_[-10.1, array([1]), array([2,3,4]), 10.0] + g = r_[-10.1, array([1]), array([2, 3, 4]), 10.0] assert_(g.dtype == 'f8') def test_2d(self): - b = rand(5,5) - c = rand(5,5) - d = r_['1',b,c] # append columns - assert_(d.shape == (5,10)) - assert_array_equal(d[:,:5],b) - assert_array_equal(d[:,5:],c) - d = r_[b,c] - assert_(d.shape == (10,5)) - assert_array_equal(d[:5,:],b) - assert_array_equal(d[5:,:],c) + b = rand(5, 5) + c = rand(5, 5) + d = r_['1', b, c] # append columns + assert_(d.shape == (5, 10)) + assert_array_equal(d[:, :5], b) + assert_array_equal(d[:, 5:], c) + d = r_[b, c] + assert_(d.shape == (10, 5)) + assert_array_equal(d[:5,:], b) + assert_array_equal(d[5:,:], c) class TestNdenumerate(TestCase): def test_basic(self): - a = array([[1,2], [3,4]]) + a = array([[1, 2], [3, 4]]) assert_equal(list(ndenumerate(a)), - [((0,0), 1), ((0,1), 2), ((1,0), 3), ((1,1), 4)]) + [((0, 0), 1), ((0, 1), 2), ((1, 0), 3), ((1, 1), 4)]) class TestIndexExpression(TestCase): @@ -144,17 +144,17 @@ class TestIndexExpression(TestCase): assert_equal(a[:-1], a[index_exp[:-1]]) def test_simple_1(self): - a = np.random.rand(4,5,6) + a = np.random.rand(4, 5, 6) - assert_equal(a[:,:3,[1,2]], a[index_exp[:,:3,[1,2]]]) - assert_equal(a[:,:3,[1,2]], a[s_[:,:3,[1,2]]]) + assert_equal(a[:, :3, [1, 2]], a[index_exp[:, :3, [1, 2]]]) + assert_equal(a[:, :3, [1, 2]], a[s_[:, :3, [1, 2]]]) def test_c_(): - a = np.c_[np.array([[1,2,3]]), 0, 0, np.array([[4,5,6]])] + a = np.c_[np.array([[1, 2, 3]]), 0, 0, np.array([[4, 5, 6]])] assert_equal(a, [[1, 2, 3, 0, 0, 4, 5, 6]]) def test_fill_diagonal(): - a = zeros((3, 3),int) + a = zeros((3, 3), int) fill_diagonal(a, 5) yield (assert_array_equal, a, array([[5, 0, 0], @@ -162,7 +162,7 @@ def test_fill_diagonal(): [0, 0, 5]])) #Test tall matrix - a = zeros((10, 3),int) + a = zeros((10, 3), int) fill_diagonal(a, 5) yield (assert_array_equal, a, array([[5, 0, 0], @@ -177,7 +177,7 @@ def test_fill_diagonal(): [0, 0, 0]])) #Test tall matrix wrap - a = zeros((10, 3),int) + a = zeros((10, 3), int) fill_diagonal(a, 5, True) yield (assert_array_equal, a, array([[5, 0, 0], @@ -192,7 +192,7 @@ def test_fill_diagonal(): [0, 5, 0]])) #Test wide matrix - a = zeros((3, 10),int) + a = zeros((3, 10), int) fill_diagonal(a, 5) yield (assert_array_equal, a, array([[5, 0, 0, 0, 0, 0, 0, 0, 0, 0], @@ -223,7 +223,7 @@ def test_diag_indices(): d3 = diag_indices(2, 3) # And use it to set the diagonal of a zeros array to 1: - a = zeros((2, 2, 2),int) + a = zeros((2, 2, 2), int) a[d3] = 1 yield (assert_array_equal, a, array([[[1, 0], |