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author | Aron Ahmadia <aron@ahmadia.net> | 2012-07-17 16:59:50 -0500 |
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committer | Aron Ahmadia <aron@ahmadia.net> | 2012-07-17 16:59:50 -0500 |
commit | a419a3036aa8202d00eb6e857c79d66adc56bed0 (patch) | |
tree | 4a73e6fff2ee13b35c154c43bd7b58bb6c2af633 /numpy/lib/tests/test_arraysetops.py | |
parent | 7316499dd60baa7bb260875b79f7d22be491c986 (diff) | |
parent | 6c772fab57934d24b66638ea5001eb02d1662f5e (diff) | |
download | numpy-a419a3036aa8202d00eb6e857c79d66adc56bed0.tar.gz |
Merge branch 'master' of https://github.com/numpy/numpy into patch-2
Diffstat (limited to 'numpy/lib/tests/test_arraysetops.py')
-rw-r--r-- | numpy/lib/tests/test_arraysetops.py | 73 |
1 files changed, 52 insertions, 21 deletions
diff --git a/numpy/lib/tests/test_arraysetops.py b/numpy/lib/tests/test_arraysetops.py index e40c155a4..b0d2ca7c3 100644 --- a/numpy/lib/tests/test_arraysetops.py +++ b/numpy/lib/tests/test_arraysetops.py @@ -8,31 +8,62 @@ from numpy.lib.arraysetops import * import warnings -class TestAso(TestCase): - def test_unique( self ): - a = np.array( [5, 7, 1, 2, 1, 5, 7] ) - - ec = np.array( [1, 2, 5, 7] ) - c = unique( a ) - assert_array_equal( c, ec ) - - vals, indices = unique( a, return_index=True ) +class TestSetOps(TestCase): - ed = np.array( [2, 3, 0, 1] ) - assert_array_equal(vals, ec) - assert_array_equal(indices, ed) - - vals, ind0, ind1 = unique( a, return_index=True, - return_inverse=True ) - + def test_unique( self ): - ee = np.array( [2, 3, 0, 1, 0, 2, 3] ) - assert_array_equal(vals, ec) - assert_array_equal(ind0, ed) - assert_array_equal(ind1, ee) + def check_all(a, b, i1, i2, dt): + msg = "check values failed for type '%s'" % dt + v = unique(a) + assert_array_equal(v, b, msg) + + msg = "check indexes failed for type '%s'" % dt + v, j = unique(a, 1, 0) + assert_array_equal(v, b, msg) + assert_array_equal(j, i1, msg) + + msg = "check reverse indexes failed for type '%s'" % dt + v, j = unique(a, 0, 1) + assert_array_equal(v, b, msg) + assert_array_equal(j, i2, msg) + + msg = "check with all indexes failed for type '%s'" % dt + v, j1, j2 = unique(a, 1, 1) + assert_array_equal(v, b, msg) + assert_array_equal(j1, i1, msg) + assert_array_equal(j2, i2, msg) + + a = [5, 7, 1, 2, 1, 5, 7]*10 + b = [1, 2, 5, 7] + i1 = [2, 3, 0, 1] + i2 = [2, 3, 0, 1, 0, 2, 3]*10 + + # test for numeric arrays + types = [] + types.extend(np.typecodes['AllInteger']) + types.extend(np.typecodes['AllFloat']) + types.append('datetime64[D]') + types.append('timedelta64[D]') + for dt in types: + aa = np.array(a, dt) + bb = np.array(b, dt) + check_all(aa, bb, i1, i2, dt) + + # test for object arrays + dt = 'O' + aa = np.empty(len(a), dt) + aa[:] = a + bb = np.empty(len(b), dt) + bb[:] = b + check_all(aa, bb, i1, i2, dt) + + # test for structured arrays + dt = [('', 'i'), ('', 'i')] + aa = np.array(zip(a,a), dt) + bb = np.array(zip(b,b), dt) + check_all(aa, bb, i1, i2, dt) - assert_array_equal([], unique([])) def test_intersect1d( self ): # unique inputs |