FM / tests

/usr/lib64/python2.6/site-packages/numpy/core/tests/

/usr/lib64/python2.6/site-packages/numpy/core/tests

Name	Size	Mode	Actions
data/	-	0755	rm
test_blasdot.py	465	0644	edit dl rm
test_blasdot.pyc	990	0644	edit dl rm
test_blasdot.pyo	990	0644	edit dl rm
test_defchararray.py	23583	0644	edit dl rm
test_defchararray.pyc	36847	0644	edit dl rm
test_defchararray.pyo	32392	0644	edit dl rm
test_dtype.py	3987	0644	edit dl rm
test_dtype.pyc	6546	0644	edit dl rm
test_dtype.pyo	6546	0644	edit dl rm
test_errstate.py	1712	0644	edit dl rm
test_errstate.pyc	1654	0644	edit dl rm
test_errstate.pyo	1654	0644	edit dl rm
test_function_base.py	984	0644	edit dl rm
test_function_base.pyc	2319	0644	edit dl rm
test_function_base.pyo	2017	0644	edit dl rm
test_getlimits.py	1630	0644	edit dl rm
test_getlimits.pyc	3799	0644	edit dl rm
test_getlimits.pyo	3799	0644	edit dl rm
test_machar.py	1000	0644	edit dl rm
test_machar.pyc	1705	0644	edit dl rm
test_machar.pyo	1705	0644	edit dl rm
test_memmap.py	2101	0644	edit dl rm
test_memmap.pyc	3341	0644	edit dl rm
test_memmap.pyo	3289	0644	edit dl rm
test_multiarray.py	51858	0644	edit dl rm
test_multiarray.pyc	70254	0644	edit dl rm
test_multiarray.pyo	69639	0644	edit dl rm
test_numeric.py	30773	0644	edit dl rm
test_numeric.pyc	48028	0644	edit dl rm
test_numeric.pyo	45970	0644	edit dl rm
test_numerictypes.py	14194	0644	edit dl rm
test_numerictypes.pyc	17908	0644	edit dl rm
test_numerictypes.pyo	17572	0644	edit dl rm
test_print.py	8091	0644	edit dl rm
test_print.pyc	9224	0644	edit dl rm
test_print.pyo	9224	0644	edit dl rm
test_records.py	5325	0644	edit dl rm
test_records.pyc	9183	0644	edit dl rm
test_records.pyo	8534	0644	edit dl rm
test_regression.py	43097	0644	edit dl rm
test_regression.pyc	67025	0644	edit dl rm
test_regression.pyo	62503	0644	edit dl rm
test_scalarmath.py	3789	0644	edit dl rm
test_scalarmath.pyc	5395	0644	edit dl rm
test_scalarmath.pyo	5096	0644	edit dl rm
test_shape_base.py	4571	0644	edit dl rm
test_shape_base.pyc	8890	0644	edit dl rm
test_shape_base.pyo	8326	0644	edit dl rm
test_ufunc.py	16944	0644	edit dl rm
test_ufunc.pyc	18366	0644	edit dl rm
test_ufunc.pyo	18135	0644	edit dl rm
test_umath.py	35991	0644	edit dl rm
test_umath.pyc	54765	0644	edit dl rm
test_umath.pyo	51377	0644	edit dl rm
test_umath_complex.py	17728	0644	edit dl rm
test_umath_complex.pyc	16886	0644	edit dl rm
test_umath_complex.pyo	16886	0644	edit dl rm
test_unicode.py	11255	0644	edit dl rm
test_unicode.pyc	15070	0644	edit dl rm
test_unicode.pyo	15070	0644	edit dl rm

Edit: /usr/lib64/python2.6/site-packages/numpy/core/tests/test_records.py (5325B)

from os import path
import numpy as np
from numpy.testing import *

class TestFromrecords(TestCase):
    def test_fromrecords(self):
        r = np.rec.fromrecords([[456, 'dbe', 1.2], [2, 'de', 1.3]],
                            names='col1,col2,col3')
        assert_equal(r[0].item(), (456, 'dbe', 1.2))

def test_method_array(self):
        r = np.rec.array('abcdefg' * 100, formats='i2,a3,i4', shape=3, byteorder='big')
        assert_equal(r[1].item(), (25444, 'efg', 1633837924))

def test_method_array2(self):
        r = np.rec.array([(1, 11, 'a'), (2, 22, 'b'), (3, 33, 'c'), (4, 44, 'd'), (5, 55, 'ex'),
                     (6, 66, 'f'), (7, 77, 'g')], formats='u1,f4,a1')
        assert_equal(r[1].item(), (2, 22.0, 'b'))

def test_recarray_slices(self):
        r = np.rec.array([(1, 11, 'a'), (2, 22, 'b'), (3, 33, 'c'), (4, 44, 'd'), (5, 55, 'ex'),
                     (6, 66, 'f'), (7, 77, 'g')], formats='u1,f4,a1')
        assert_equal(r[1::2][1].item(), (4, 44.0, 'd'))

def test_recarray_fromarrays(self):
        x1 = np.array([1, 2, 3, 4])
        x2 = np.array(['a', 'dd', 'xyz', '12'])
        x3 = np.array([1.1, 2, 3, 4])
        r = np.rec.fromarrays([x1, x2, x3], names='a,b,c')
        assert_equal(r[1].item(), (2, 'dd', 2.0))
        x1[1] = 34
        assert_equal(r.a, np.array([1, 2, 3, 4]))

def test_recarray_fromfile(self):
        data_dir = path.join(path.dirname(__file__), 'data')
        filename = path.join(data_dir, 'recarray_from_file.fits')
        fd = open(filename)
        fd.seek(2880 * 2)
        r = np.rec.fromfile(fd, formats='f8,i4,a5', shape=3, byteorder='big')

def test_recarray_from_obj(self):
        count = 10
        a = np.zeros(count, dtype='O')
        b = np.zeros(count, dtype='f8')
        c = np.zeros(count, dtype='f8')
        for i in range(len(a)):
            a[i] = range(1, 10)

mine = np.rec.fromarrays([a, b, c], names='date,data1,data2')
        for i in range(len(a)):
            assert (mine.date[i] == range(1, 10))
            assert (mine.data1[i] == 0.0)
            assert (mine.data2[i] == 0.0)

def test_recarray_from_repr(self):
        x = np.rec.array([ (1, 2)], dtype=[('a', np.int8), ('b', np.int8)])
        y = eval("np." + repr(x))
        assert isinstance(y, np.recarray)
        assert_equal(y, x)

def test_recarray_from_names(self):
        ra = np.rec.array([
            (1, 'abc', 3.7000002861022949, 0),
            (2, 'xy', 6.6999998092651367, 1),
            (0, ' ', 0.40000000596046448, 0)],
                       names='c1, c2, c3, c4')
        pa = np.rec.fromrecords([
            (1, 'abc', 3.7000002861022949, 0),
            (2, 'xy', 6.6999998092651367, 1),
            (0, ' ', 0.40000000596046448, 0)],
                       names='c1, c2, c3, c4')
        assert ra.dtype == pa.dtype
        assert ra.shape == pa.shape
        for k in xrange(len(ra)):
            assert ra[k].item() == pa[k].item()

def test_recarray_conflict_fields(self):
        ra = np.rec.array([(1, 'abc', 2.3), (2, 'xyz', 4.2),
                        (3, 'wrs', 1.3)],
                       names='field, shape, mean')
        ra.mean = [1.1, 2.2, 3.3]
        assert_array_almost_equal(ra['mean'], [1.1, 2.2, 3.3])
        assert type(ra.mean) is type(ra.var)
        ra.shape = (1, 3)
        assert ra.shape == (1, 3)
        ra.shape = ['A', 'B', 'C']
        assert_array_equal(ra['shape'], [['A', 'B', 'C']])
        ra.field = 5
        assert_array_equal(ra['field'], [[5, 5, 5]])
        assert callable(ra.field)

def test_fromrecords_with_explicit_dtype(self):
        a = np.rec.fromrecords([(1, 'a'), (2, 'bbb')],
                                dtype=[('a', int), ('b', np.object)])
        assert_equal(a.a, [1, 2])
        assert_equal(a[0].a, 1)
        assert_equal(a.b, ['a', 'bbb'])
        assert_equal(a[-1].b, 'bbb')
        #
        ndtype = np.dtype([('a', int), ('b', np.object)])
        a = np.rec.fromrecords([(1, 'a'), (2, 'bbb')], dtype=ndtype)
        assert_equal(a.a, [1, 2])
        assert_equal(a[0].a, 1)
        assert_equal(a.b, ['a', 'bbb'])
        assert_equal(a[-1].b, 'bbb')

class TestRecord(TestCase):
    def setUp(self):
        self.data = np.rec.fromrecords([(1, 2, 3), (4, 5, 6)],
                            dtype=[("col1", "<i4"),
                                   ("col2", "<i4"),
                                   ("col3", "<i4")])

def test_assignment1(self):
        a = self.data
        assert_equal(a.col1[0], 1)
        a[0].col1 = 0
        assert_equal(a.col1[0], 0)

def test_assignment2(self):
        a = self.data
        assert_equal(a.col1[0], 1)
        a.col1[0] = 0
        assert_equal(a.col1[0], 0)

def test_invalid_assignment(self):
        a = self.data
        def assign_invalid_column(x):
            x[0].col5 = 1
        self.failUnlessRaises(AttributeError, assign_invalid_column, a)

def test_find_duplicate():
    l1 = [1, 2, 3, 4, 5, 6]
    assert np.rec.find_duplicate(l1) == []

l2 = [1, 2, 1, 4, 5, 6]
    assert np.rec.find_duplicate(l2) == [1]

l3 = [1, 2, 1, 4, 1, 6, 2, 3]
    assert np.rec.find_duplicate(l3) == [1, 2]

l3 = [2, 2, 1, 4, 1, 6, 2, 3]
    assert np.rec.find_duplicate(l3) == [2, 1]

if __name__ == "__main__":
    run_module_suite()

from os import path import numpy as np from numpy.testing import * class TestFromrecords(TestCase): def test_fromrecords(self): r = np.rec.fromrecords([[456, 'dbe', 1.2], [2, 'de', 1.3]], names='col1,col2,col3') assert_equal(r[0].item(), (456, 'dbe', 1.2)) def test_method_array(self): r = np.rec.array('abcdefg' * 100, formats='i2,a3,i4', shape=3, byteorder='big') assert_equal(r[1].item(), (25444, 'efg', 1633837924)) def test_method_array2(self): r = np.rec.array([(1, 11, 'a'), (2, 22, 'b'), (3, 33, 'c'), (4, 44, 'd'), (5, 55, 'ex'), (6, 66, 'f'), (7, 77, 'g')], formats='u1,f4,a1') assert_equal(r[1].item(), (2, 22.0, 'b')) def test_recarray_slices(self): r = np.rec.array([(1, 11, 'a'), (2, 22, 'b'), (3, 33, 'c'), (4, 44, 'd'), (5, 55, 'ex'), (6, 66, 'f'), (7, 77, 'g')], formats='u1,f4,a1') assert_equal(r[1::2][1].item(), (4, 44.0, 'd')) def test_recarray_fromarrays(self): x1 = np.array([1, 2, 3, 4]) x2 = np.array(['a', 'dd', 'xyz', '12']) x3 = np.array([1.1, 2, 3, 4]) r = np.rec.fromarrays([x1, x2, x3], names='a,b,c') assert_equal(r[1].item(), (2, 'dd', 2.0)) x1[1] = 34 assert_equal(r.a, np.array([1, 2, 3, 4])) def test_recarray_fromfile(self): data_dir = path.join(path.dirname(__file__), 'data') filename = path.join(data_dir, 'recarray_from_file.fits') fd = open(filename) fd.seek(2880 * 2) r = np.rec.fromfile(fd, formats='f8,i4,a5', shape=3, byteorder='big') def test_recarray_from_obj(self): count = 10 a = np.zeros(count, dtype='O') b = np.zeros(count, dtype='f8') c = np.zeros(count, dtype='f8') for i in range(len(a)): a[i] = range(1, 10) mine = np.rec.fromarrays([a, b, c], names='date,data1,data2') for i in range(len(a)): assert (mine.date[i] == range(1, 10)) assert (mine.data1[i] == 0.0) assert (mine.data2[i] == 0.0) def test_recarray_from_repr(self): x = np.rec.array([ (1, 2)], dtype=[('a', np.int8), ('b', np.int8)]) y = eval("np." + repr(x)) assert isinstance(y, np.recarray) assert_equal(y, x) def test_recarray_from_names(self): ra = np.rec.array([ (1, 'abc', 3.7000002861022949, 0), (2, 'xy', 6.6999998092651367, 1), (0, ' ', 0.40000000596046448, 0)], names='c1, c2, c3, c4') pa = np.rec.fromrecords([ (1, 'abc', 3.7000002861022949, 0), (2, 'xy', 6.6999998092651367, 1), (0, ' ', 0.40000000596046448, 0)], names='c1, c2, c3, c4') assert ra.dtype == pa.dtype assert ra.shape == pa.shape for k in xrange(len(ra)): assert ra[k].item() == pa[k].item() def test_recarray_conflict_fields(self): ra = np.rec.array([(1, 'abc', 2.3), (2, 'xyz', 4.2), (3, 'wrs', 1.3)], names='field, shape, mean') ra.mean = [1.1, 2.2, 3.3] assert_array_almost_equal(ra['mean'], [1.1, 2.2, 3.3]) assert type(ra.mean) is type(ra.var) ra.shape = (1, 3) assert ra.shape == (1, 3) ra.shape = ['A', 'B', 'C'] assert_array_equal(ra['shape'], [['A', 'B', 'C']]) ra.field = 5 assert_array_equal(ra['field'], [[5, 5, 5]]) assert callable(ra.field) def test_fromrecords_with_explicit_dtype(self): a = np.rec.fromrecords([(1, 'a'), (2, 'bbb')], dtype=[('a', int), ('b', np.object)]) assert_equal(a.a, [1, 2]) assert_equal(a[0].a, 1) assert_equal(a.b, ['a', 'bbb']) assert_equal(a[-1].b, 'bbb') # ndtype = np.dtype([('a', int), ('b', np.object)]) a = np.rec.fromrecords([(1, 'a'), (2, 'bbb')], dtype=ndtype) assert_equal(a.a, [1, 2]) assert_equal(a[0].a, 1) assert_equal(a.b, ['a', 'bbb']) assert_equal(a[-1].b, 'bbb') class TestRecord(TestCase): def setUp(self): self.data = np.rec.fromrecords([(1, 2, 3), (4, 5, 6)], dtype=[("col1", "