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import numpy as np
from numpy.testing import *
class TestUfunc(NumpyTestCase):
def test_reduceat_shifting_sum(self) :
L = 6
x = np.arange(L)
idx = np.array(zip(np.arange(L-2), np.arange(L-2)+2)).ravel()
assert_array_equal(np.add.reduceat(x,idx)[::2],
[1,3,5,7])
def check_generic_loops(self) :
"""Test generic loops.
The loops to be tested are:
PyUFunc_ff_f_As_dd_d
PyUFunc_ff_f
PyUFunc_dd_d
PyUFunc_gg_g
PyUFunc_FF_F_As_DD_D
PyUFunc_DD_D
PyUFunc_FF_F
PyUFunc_GG_G
PyUFunc_OO_O
PyUFunc_OO_O_method
PyUFunc_f_f_As_d_d
PyUFunc_d_d
PyUFunc_f_f
PyUFunc_g_g
PyUFunc_F_F_As_D_D
PyUFunc_F_F
PyUFunc_D_D
PyUFunc_G_G
PyUFunc_O_O
PyUFunc_O_O_method
PyUFunc_On_Om
Where:
f -- float
d -- double
g -- long double
F -- complex float
D -- complex double
G -- complex long double
O -- python object
It is difficult to assure that each of these loops is entered from the
Python level as the special cased loops are a moving target and the
corresponding types are architecture dependent. We probably need to
define C level testing ufuncs to get at them. For the time being, I've
just looked at the signatures registered in the build directory to find
relevant functions.
Fixme, currently untested:
PyUFunc_ff_f_As_dd_d
PyUFunc_FF_F_As_DD_D
PyUFunc_f_f_As_d_d
PyUFunc_F_F_As_D_D
PyUFunc_On_Om
"""
fone = np.exp
ftwo = lambda x,y : x**y
fone_val = 1
ftwo_val = 1
# check unary PyUFunc_f_f.
msg = "PyUFunc_f_f"
x = np.zeros(10, dtype=np.single)[0::2]
assert_almost_equal(fone(x), fone_val, err_msg=msg)
# check unary PyUFunc_d_d.
msg = "PyUFunc_d_d"
x = np.zeros(10, dtype=np.double)[0::2]
assert_almost_equal(fone(x), fone_val, err_msg=msg)
# check unary PyUFunc_g_g.
msg = "PyUFunc_g_g"
x = np.zeros(10, dtype=np.longdouble)[0::2]
assert_almost_equal(fone(x), fone_val, err_msg=msg)
# check unary PyUFunc_F_F.
msg = "PyUFunc_F_F"
x = np.zeros(10, dtype=np.csingle)[0::2]
assert_almost_equal(fone(x), fone_val, err_msg=msg)
# check unary PyUFunc_D_D.
msg = "PyUFunc_D_D"
x = np.zeros(10, dtype=np.cdouble)[0::2]
assert_almost_equal(fone(x), fone_val, err_msg=msg)
# check unary PyUFunc_G_G.
msg = "PyUFunc_G_G"
x = np.zeros(10, dtype=np.clongdouble)[0::2]
assert_almost_equal(fone(x), fone_val, err_msg=msg)
# check binary PyUFunc_ff_f.
msg = "PyUFunc_ff_f"
x = np.ones(10, dtype=np.single)[0::2]
assert_almost_equal(ftwo(x,x), ftwo_val, err_msg=msg)
# check binary PyUFunc_dd_d.
msg = "PyUFunc_dd_d"
x = np.ones(10, dtype=np.double)[0::2]
assert_almost_equal(ftwo(x,x), ftwo_val, err_msg=msg)
# check binary PyUFunc_gg_g.
msg = "PyUFunc_gg_g"
x = np.ones(10, dtype=np.longdouble)[0::2]
assert_almost_equal(ftwo(x,x), ftwo_val, err_msg=msg)
# check binary PyUFunc_FF_F.
msg = "PyUFunc_FF_F"
x = np.ones(10, dtype=np.csingle)[0::2]
assert_almost_equal(ftwo(x,x), ftwo_val, err_msg=msg)
# check binary PyUFunc_DD_D.
msg = "PyUFunc_DD_D"
x = np.ones(10, dtype=np.cdouble)[0::2]
assert_almost_equal(ftwo(x,x), ftwo_val, err_msg=msg)
# check binary PyUFunc_GG_G.
msg = "PyUFunc_GG_G"
x = np.ones(10, dtype=np.clongdouble)[0::2]
assert_almost_equal(ftwo(x,x), ftwo_val, err_msg=msg)
# class to use in testing object method loops
class foo :
def logical_not(self) :
return np.bool_(1)
def logical_and(self, obj) :
return np.bool_(1)
# check unary PyUFunc_O_0
msg = "PyUFunc_O_O"
x = np.ones(10, dtype=np.object)[0::2]
assert np.all(np.abs(x) == 1), msg
# check unary PyUFunc_O_0_method
msg = "PyUFunc_O_O_method"
x = np.zeros(10, dtype=np.object)[0::2]
for i in range(len(x)) :
x[i] = foo()
assert np.all(np.logical_not(x) == True), msg
# check binary PyUFunc_OO_0
msg = "PyUFunc_OO_O"
x = np.ones(10, dtype=np.object)[0::2]
assert np.all(np.add(x,x) == 2), msg
# check binary PyUFunc_OO_0_method
msg = "PyUFunc_OO_O_method"
x = np.zeros(10, dtype=np.object)[0::2]
for i in range(len(x)) :
x[i] = foo()
assert np.all(np.logical_and(x,x) == 1), msg
# check PyUFunc_On_Om
# fixme -- I don't know how to do this yet
if __name__ == "__main__":
NumpyTest().run()
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