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FIX: bug in np.where and recarray swapping by certik · Pull Request #395 · numpy/numpy · GitHub

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FIX: bug in np.where and recarray swapping #395

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Merged
certik merged 1 commit into from
Aug 31, 2012
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FIX: bug in np.where and recarray swapping #395

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2 changes: 1 addition & 1 deletion numpy/core/src/multiarray/scalarapi.c
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Original file line number Diff line number Diff line change
Expand Up @@ -334,7 +334,7 @@ PyArray_FromScalar(PyObject *scalar, PyArray_Descr *outcode)
if (outcode == NULL) {
return (PyObject *)r;
}
if (outcode->type_num == typecode->type_num) {
if (PyArray_EquivTypes(outcode, typecode)) {
if (!PyTypeNum_ISEXTENDED(typecode->type_num)
|| (outcode->elsize == typecode->elsize)) {
Py_DECREF(outcode);
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28 changes: 28 additions & 0 deletions numpy/core/tests/test_regression.py
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Expand Up @@ -169,6 +169,34 @@ def test_endian_bool_indexing(self,level=rlevel):
assert_(np.all(a[ya] > 0.5))
assert_(np.all(b[yb] > 0.5))

def test_endian_where(self,level=rlevel):
"""GitHuB issue #369"""
net = np.zeros(3, dtype='>f4')

seberg Aug 31, 2012

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Choose a reason Spam Abuse Off Topic Outdated Duplicate Resolved Low Quality

Not sure if it matters or is the case. But it may be necessary to test both '>' and '<' for big-endian machines where I guess the singletons should be big endian? would be just a second net here and a second test below (unless there is a way to make net non-native).

certik Aug 31, 2012

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Choose a reason Spam Abuse Off Topic Outdated Duplicate Resolved Low Quality

Would you mind sending a PR for this please? I am going to merge this issue now.
net[1] = 0.00458849
net[2] = 0.605202
max_net = net.max()
test = np.where(net <= 0., max_net, net)
correct = np.array([ 0.60520202, 0.00458849, 0.60520202])
assert_array_almost_equal(test, correct)

def test_endian_recarray(self,level=rlevel):
"""Ticket #2185"""
dt = np.dtype([
('head', '>u4'),
('data', '>u4', 2),
])
buf = np.recarray(1, dtype=dt)
buf[0]['head'] = 1
buf[0]['data'][:] = [1,1]

h = buf[0]['head']
d = buf[0]['data'][0]
buf[0]['head'] = h
buf[0]['data'][0] = d
print buf[0]['head']
assert_(buf[0]['head'] == 1)


def test_mem_dot(self,level=rlevel):
"""Ticket #106"""
x = np.random.randn(0,1)
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