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📄 test_abc.py(1.97 KB)
📄 test_abc.pyc(2.69 KB)
📄 test_abc.pyo(2.69 KB)
📄 test_api.py(18.41 KB)
📄 test_api.pyc(15.56 KB)
📄 test_api.pyo(15.56 KB)
📄 test_arrayprint.py(6.73 KB)
📄 test_arrayprint.pyc(10.33 KB)
📄 test_arrayprint.pyo(10.33 KB)
📄 test_datetime.py(88.29 KB)
📄 test_datetime.pyc(60.87 KB)
📄 test_datetime.pyo(60.87 KB)
📄 test_defchararray.py(26.28 KB)
📄 test_defchararray.pyc(39.08 KB)
📄 test_defchararray.pyo(39.08 KB)
📄 test_deprecations.py(32.64 KB)
📄 test_deprecations.pyc(47.97 KB)
📄 test_deprecations.pyo(47.97 KB)
📄 test_dtype.py(24.01 KB)
📄 test_dtype.pyc(26.9 KB)
📄 test_dtype.pyo(26.9 KB)
📄 test_einsum.py(25.09 KB)
📄 test_einsum.pyc(20.42 KB)
📄 test_einsum.pyo(20.42 KB)
📄 test_errstate.py(1.55 KB)
📄 test_errstate.pyc(2.4 KB)
📄 test_errstate.pyo(2.4 KB)
📄 test_extint128.py(5.62 KB)
📄 test_extint128.pyc(7.75 KB)
📄 test_extint128.pyo(7.75 KB)
📄 test_function_base.py(5.24 KB)
📄 test_function_base.pyc(9.45 KB)
📄 test_function_base.pyo(9.37 KB)
📄 test_getlimits.py(2.22 KB)
📄 test_getlimits.pyc(5.31 KB)
📄 test_getlimits.pyo(5.31 KB)
📄 test_half.py(18.1 KB)
📄 test_half.pyc(18.32 KB)
📄 test_half.pyo(18.32 KB)
📄 test_indexerrors.py(4.82 KB)
📄 test_indexerrors.pyc(11.62 KB)
📄 test_indexerrors.pyo(11.62 KB)
📄 test_indexing.py(39.93 KB)
📄 test_indexing.pyc(36.73 KB)
📄 test_indexing.pyo(36.73 KB)
📄 test_item_selection.py(3.5 KB)
📄 test_item_selection.pyc(4.38 KB)
📄 test_item_selection.pyo(4.38 KB)
📄 test_longdouble.py(5.71 KB)
📄 test_longdouble.pyc(10.27 KB)
📄 test_longdouble.pyo(10.27 KB)
📄 test_machar.py(1014 B)
📄 test_machar.pyc(1.71 KB)
📄 test_machar.pyo(1.71 KB)
📄 test_mem_overlap.py(15.4 KB)
📄 test_mem_overlap.pyc(21.25 KB)
📄 test_mem_overlap.pyo(21.25 KB)
📄 test_memmap.py(4.2 KB)
📄 test_memmap.pyc(6.35 KB)
📄 test_memmap.pyo(6.35 KB)
📄 test_multiarray.py(235.11 KB)
📄 test_multiarray.pyc(271.28 KB)
📄 test_multiarray.pyo(271.25 KB)
📄 test_nditer.py(101.78 KB)
📄 test_nditer.pyc(85.59 KB)
📄 test_nditer.pyo(85.59 KB)
📄 test_numeric.py(89.25 KB)
📄 test_numeric.pyc(110.54 KB)
📄 test_numeric.pyo(110.54 KB)
📄 test_numerictypes.py(14.38 KB)
📄 test_numerictypes.pyc(18.27 KB)
📄 test_numerictypes.pyo(18.27 KB)
📄 test_print.py(8 KB)
📄 test_print.pyc(10.02 KB)
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📄 test_records.py(13.12 KB)
📄 test_records.pyc(17.07 KB)
📄 test_records.pyo(17.07 KB)
📄 test_regression.py(77.01 KB)
📄 test_regression.pyc(106.12 KB)
📄 test_regression.pyo(106.12 KB)
📄 test_scalarinherit.py(771 B)
📄 test_scalarinherit.pyc(2.72 KB)
📄 test_scalarinherit.pyo(2.72 KB)
📄 test_scalarmath.py(18.65 KB)
📄 test_scalarmath.pyc(20.1 KB)
📄 test_scalarmath.pyo(20.1 KB)
📄 test_scalarprint.py(917 B)
📄 test_scalarprint.pyc(1.45 KB)
📄 test_scalarprint.pyo(1.45 KB)
📄 test_shape_base.py(11.23 KB)
📄 test_shape_base.pyc(14.63 KB)
📄 test_shape_base.pyo(14.63 KB)
📄 test_ufunc.py(49.29 KB)
📄 test_ufunc.pyc(50.63 KB)
📄 test_ufunc.pyo(50.63 KB)
📄 test_umath.py(73.33 KB)
📄 test_umath.pyc(95.78 KB)
📄 test_umath.pyo(95.72 KB)
📄 test_umath_complex.py(19.34 KB)
📄 test_umath_complex.pyc(19.11 KB)
📄 test_umath_complex.pyo(19.11 KB)
📄 test_unicode.py(12.34 KB)
📄 test_unicode.pyc(16.09 KB)
📄 test_unicode.pyo(16.09 KB)

Editing: test_function_base.py

from __future__ import division, absolute_import, print_function

from numpy import (logspace, linspace, dtype, array, finfo, typecodes, arange,
                   isnan, ndarray)
from numpy.testing import (
    TestCase, run_module_suite, assert_, assert_equal, assert_raises,
    assert_array_equal
)

class TestLogspace(TestCase):

def test_basic(self):
        y = logspace(0, 6)
        assert_(len(y) == 50)
        y = logspace(0, 6, num=100)
        assert_(y[-1] == 10 ** 6)
        y = logspace(0, 6, endpoint=0)
        assert_(y[-1] < 10 ** 6)
        y = logspace(0, 6, num=7)
        assert_array_equal(y, [1, 10, 100, 1e3, 1e4, 1e5, 1e6])

def test_dtype(self):
        y = logspace(0, 6, dtype='float32')
        assert_equal(y.dtype, dtype('float32'))
        y = logspace(0, 6, dtype='float64')
        assert_equal(y.dtype, dtype('float64'))
        y = logspace(0, 6, dtype='int32')
        assert_equal(y.dtype, dtype('int32'))

class TestLinspace(TestCase):

def test_basic(self):
        y = linspace(0, 10)
        assert_(len(y) == 50)
        y = linspace(2, 10, num=100)
        assert_(y[-1] == 10)
        y = linspace(2, 10, endpoint=0)
        assert_(y[-1] < 10)
        assert_raises(ValueError, linspace, 0, 10, num=-1)

def test_corner(self):
        y = list(linspace(0, 1, 1))
        assert_(y == [0.0], y)
        y = list(linspace(0, 1, 2.5))
        assert_(y == [0.0, 1.0])

def test_type(self):
        t1 = linspace(0, 1, 0).dtype
        t2 = linspace(0, 1, 1).dtype
        t3 = linspace(0, 1, 2).dtype
        assert_equal(t1, t2)
        assert_equal(t2, t3)

def test_dtype(self):
        y = linspace(0, 6, dtype='float32')
        assert_equal(y.dtype, dtype('float32'))
        y = linspace(0, 6, dtype='float64')
        assert_equal(y.dtype, dtype('float64'))
        y = linspace(0, 6, dtype='int32')
        assert_equal(y.dtype, dtype('int32'))

def test_array_scalar(self):
        lim1 = array([-120, 100], dtype="int8")
        lim2 = array([120, -100], dtype="int8")
        lim3 = array([1200, 1000], dtype="uint16")
        t1 = linspace(lim1[0], lim1[1], 5)
        t2 = linspace(lim2[0], lim2[1], 5)
        t3 = linspace(lim3[0], lim3[1], 5)
        t4 = linspace(-120.0, 100.0, 5)
        t5 = linspace(120.0, -100.0, 5)
        t6 = linspace(1200.0, 1000.0, 5)
        assert_equal(t1, t4)
        assert_equal(t2, t5)
        assert_equal(t3, t6)

def test_complex(self):
        lim1 = linspace(1 + 2j, 3 + 4j, 5)
        t1 = array([ 1.0+2.j,  1.5+2.5j,  2.0+3.j,  2.5+3.5j,  3.0+4.j])
        lim2 = linspace(1j, 10, 5)
        t2 = array([  0.0+1.j,   2.5+0.75j,   5.0+0.5j,   7.5+0.25j,  10.0+0.j])
        assert_equal(lim1, t1)
        assert_equal(lim2, t2)

def test_physical_quantities(self):
        class PhysicalQuantity(float):
            def __new__(cls, value):
                return float.__new__(cls, value)

def __add__(self, x):
                assert_(isinstance(x, PhysicalQuantity))
                return PhysicalQuantity(float(x) + float(self))
            __radd__ = __add__

def __sub__(self, x):
                assert_(isinstance(x, PhysicalQuantity))
                return PhysicalQuantity(float(self) - float(x))

def __rsub__(self, x):
                assert_(isinstance(x, PhysicalQuantity))
                return PhysicalQuantity(float(x) - float(self))

def __mul__(self, x):
                return PhysicalQuantity(float(x) * float(self))
            __rmul__ = __mul__

def __div__(self, x):
                return PhysicalQuantity(float(self) / float(x))

def __rdiv__(self, x):
                return PhysicalQuantity(float(x) / float(self))

a = PhysicalQuantity(0.0)
        b = PhysicalQuantity(1.0)
        assert_equal(linspace(a, b), linspace(0.0, 1.0))

def test_subclass(self):
        class PhysicalQuantity2(ndarray):
            __array_priority__ = 10

a = array(0).view(PhysicalQuantity2)
        b = array(1).view(PhysicalQuantity2)
        ls = linspace(a, b)
        assert type(ls) is PhysicalQuantity2
        assert_equal(ls, linspace(0.0, 1.0))
        ls = linspace(a, b, 1)
        assert type(ls) is PhysicalQuantity2
        assert_equal(ls, linspace(0.0, 1.0, 1))

def test_denormal_numbers(self):
        # Regression test for gh-5437. Will probably fail when compiled
        # with ICC, which flushes denormals to zero
        for dt in (dtype(f) for f in typecodes['Float']):
            stop = finfo(dt).tiny * finfo(dt).resolution
            assert_(any(linspace(0, stop, 10, endpoint=False, dtype=dt)))

def test_equivalent_to_arange(self):
        for j in range(1000):
            assert_equal(linspace(0, j, j+1, dtype=int),
                         arange(j+1, dtype=int))

def test_retstep(self):
        y = linspace(0, 1, 2, retstep=True)
        assert_(isinstance(y, tuple) and len(y) == 2)
        for num in (0, 1):
            for ept in (False, True):
                y = linspace(0, 1, num, endpoint=ept, retstep=True)
                assert_(isinstance(y, tuple) and len(y) == 2 and
                        len(y[0]) == num and isnan(y[1]),
                        'num={0}, endpoint={1}'.format(num, ept))

if __name__ == "__main__":
    run_module_suite()

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