/usr/lib/python3/dist-packages/numpy/core/tests/test_function_base.py is in python3-numpy 1:1.11.0-1ubuntu1.
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1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 | 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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