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from numpy.testing import *
set_package_path()
from numpy.core.umath import minimum, maximum, exp
import numpy.core.umath as ncu
from numpy import zeros, ndarray, array, choose
restore_path()
class test_division(NumpyTestCase):
def check_division_int(self):
# int division should return the floor of the result, a la Python
x = array([5, 10, 90, 100, -5, -10, -90, -100, -120])
assert_equal(x / 100, [0, 0, 0, 1, -1, -1, -1, -1, -2])
assert_equal(x // 100, [0, 0, 0, 1, -1, -1, -1, -1, -2])
assert_equal(x % 100, [5, 10, 90, 0, 95, 90, 10, 0, 80])
class test_power(NumpyTestCase):
def check_power_float(self):
x = array([1., 2., 3.])
assert_equal(x**0, [1., 1., 1.])
assert_equal(x**1, x)
assert_equal(x**2, [1., 4., 9.])
y = x.copy()
y **= 2
assert_equal(y, [1., 4., 9.])
assert_almost_equal(x**(-1), [1., 0.5, 1./3])
assert_almost_equal(x**(0.5), [1., ncu.sqrt(2), ncu.sqrt(3)])
def check_power_complex(self):
x = array([1+2j, 2+3j, 3+4j])
assert_equal(x**0, [1., 1., 1.])
assert_equal(x**1, x)
assert_equal(x**2, [-3+4j, -5+12j, -7+24j])
assert_almost_equal(x**(-1), [1/(1+2j), 1/(2+3j), 1/(3+4j)])
assert_almost_equal(x**(-3), [(-11+2j)/125, (-46-9j)/2197,
(-117-44j)/15625])
assert_almost_equal(x**(0.5), [ncu.sqrt(1+2j), ncu.sqrt(2+3j),
ncu.sqrt(3+4j)])
assert_almost_equal(x**14, [-76443+16124j, 23161315+58317492j,
5583548873 + 2465133864j])
class test_log1p(NumpyTestCase):
def check_log1p(self):
assert_almost_equal(ncu.log1p(0.2), ncu.log(1.2))
assert_almost_equal(ncu.log1p(1e-6), ncu.log(1+1e-6))
class test_expm1(NumpyTestCase):
def check_expm1(self):
assert_almost_equal(ncu.expm1(0.2), ncu.exp(0.2)-1)
assert_almost_equal(ncu.expm1(1e-6), ncu.exp(1e-6)-1)
class test_maximum(NumpyTestCase):
def check_reduce_complex(self):
assert_equal(maximum.reduce([1,2j]),1)
assert_equal(maximum.reduce([1+3j,2j]),1+3j)
class test_minimum(NumpyTestCase):
def check_reduce_complex(self):
assert_equal(minimum.reduce([1,2j]),2j)
class test_floating_point(NumpyTestCase):
def check_floating_point(self):
assert_equal(ncu.FLOATING_POINT_SUPPORT, 1)
class test_special_methods(NumpyTestCase):
def test_wrap(self):
class with_wrap(object):
def __array__(self):
return zeros(1)
def __array_wrap__(self, arr, context):
r = with_wrap()
r.arr = arr
r.context = context
return r
a = with_wrap()
x = minimum(a, a)
assert_equal(x.arr, zeros(1))
func, args, i = x.context
self.failUnless(func is minimum)
self.failUnlessEqual(len(args), 2)
assert_equal(args[0], a)
assert_equal(args[1], a)
self.failUnlessEqual(i, 0)
def test_old_wrap(self):
class with_wrap(object):
def __array__(self):
return zeros(1)
def __array_wrap__(self, arr):
r = with_wrap()
r.arr = arr
return r
a = with_wrap()
x = minimum(a, a)
assert_equal(x.arr, zeros(1))
def test_priority(self):
class A(object):
def __array__(self):
return zeros(1)
def __array_wrap__(self, arr, context):
r = type(self)()
r.arr = arr
r.context = context
return r
class B(A):
__array_priority__ = 20.
class C(A):
__array_priority__ = 40.
x = zeros(1)
a = A()
b = B()
c = C()
f = minimum
self.failUnless(type(f(x,x)) is ndarray)
self.failUnless(type(f(x,a)) is A)
self.failUnless(type(f(x,b)) is B)
self.failUnless(type(f(x,c)) is C)
self.failUnless(type(f(a,x)) is A)
self.failUnless(type(f(b,x)) is B)
self.failUnless(type(f(c,x)) is C)
self.failUnless(type(f(a,a)) is A)
self.failUnless(type(f(a,b)) is B)
self.failUnless(type(f(b,a)) is B)
self.failUnless(type(f(b,b)) is B)
self.failUnless(type(f(b,c)) is C)
self.failUnless(type(f(c,b)) is C)
self.failUnless(type(f(c,c)) is C)
self.failUnless(type(exp(a) is A))
self.failUnless(type(exp(b) is B))
self.failUnless(type(exp(c) is C))
def test_failing_wrap(self):
class A(object):
def __array__(self):
return zeros(1)
def __array_wrap__(self, arr, context):
raise RuntimeError
a = A()
self.failUnlessRaises(RuntimeError, maximum, a, a)
def test_array_with_context(self):
class A(object):
def __array__(self, dtype=None, context=None):
func, args, i = context
self.func = func
self.args = args
self.i = i
return zeros(1)
class B(object):
def __array__(self, dtype=None):
return zeros(1, dtype)
class C(object):
def __array__(self):
return zeros(1)
a = A()
maximum(zeros(1), a)
self.failUnless(a.func is maximum)
assert_equal(a.args[0], 0)
self.failUnless(a.args[1] is a)
self.failUnless(a.i == 1)
assert_equal(maximum(a, B()), 0)
assert_equal(maximum(a, C()), 0)
class test_choose(NumpyTestCase):
def test_mixed(self):
c = array([True,True])
a = array([True,True])
assert_equal(choose(c, (a, 1)), array([1,1]))
class _test_complex_real(NumpyTestCase):
def setUp(self):
self.x = 0.52
self.z = self.x+0j
self.funcs = ['arcsin', 'arccos', 'arctan', 'arcsinh', 'arccosh',
'arctanh', 'sin', 'cos', 'tan', 'exp', 'log', 'sqrt',
'log10']
def test_it(self):
for fun in self.funcs:
cr = fun(self.z)
assert_almost_equal(fun(self.x),cr.real)
assert_almost_equal(0, cr.imag)
class test_choose(NumpyTestCase):
def test_attributes(self):
add = ncu.add
assert_equal(add.__name__, 'add')
assert_equal(add.__doc__, 'y = add(x1,x2) adds the arguments elementwise.')
self.failUnless(add.ntypes >= 18) # don't fail if types added
self.failUnless('ii->i' in add.types)
assert_equal(add.nin, 2)
assert_equal(add.nout, 1)
assert_equal(add.identity, 0)
if __name__ == "__main__":
NumpyTest().run()
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