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-rw-r--r--testing/py-numpy/numpy-1.10.1-backport-1.patch127
1 files changed, 127 insertions, 0 deletions
diff --git a/testing/py-numpy/numpy-1.10.1-backport-1.patch b/testing/py-numpy/numpy-1.10.1-backport-1.patch
new file mode 100644
index 0000000000..77a3c01037
--- /dev/null
+++ b/testing/py-numpy/numpy-1.10.1-backport-1.patch
@@ -0,0 +1,127 @@
+From 3a816a4db9b498eb64eb837fdcca0fa8ddbe063e Mon Sep 17 00:00:00 2001
+From: Allan Haldane <allan.haldane@gmail.com>
+Date: Sat, 17 Oct 2015 14:00:36 -0400
+Subject: [PATCH] BUG: recarrays viewed as subarrays don't convert to np.record
+ type
+
+Record array views were updated in #5943 to return np.record dtype
+where possible, but forgot about the case of sub-arrays.
+
+That's fixed here, so accessing subarray fields by attribute or index
+works sensibly, as well as viewing a record array as a subarray dtype,
+and printing subarrays.
+
+This also happens to fix #6459, since it affects the same lines.
+
+Fixes #6497 #6459
+---
+ numpy/core/records.py | 30 +++++++++++++++++++-----------
+ numpy/core/tests/test_records.py | 23 +++++++++++++++++++++++
+ 2 files changed, 42 insertions(+), 11 deletions(-)
+
+diff --git a/numpy/core/records.py b/numpy/core/records.py
+index 4a99553..4ce3fe9 100644
+--- a/numpy/core/records.py
++++ b/numpy/core/records.py
+@@ -448,12 +448,14 @@ def __getattribute__(self, attr):
+
+ # At this point obj will always be a recarray, since (see
+ # PyArray_GetField) the type of obj is inherited. Next, if obj.dtype is
+- # non-structured, convert it to an ndarray. If obj is structured leave
+- # it as a recarray, but make sure to convert to the same dtype.type (eg
+- # to preserve numpy.record type if present), since nested structured
+- # fields do not inherit type.
++ # non-structured, convert it to an ndarray. Then if obj is structured
++ # with void type convert it to the same dtype.type (eg to preserve
++ # numpy.record type if present), since nested structured fields do not
++ # inherit type. Don't do this for non-void structures though.
+ if obj.dtype.fields:
+- return obj.view(dtype=(self.dtype.type, obj.dtype.fields))
++ if issubclass(obj.dtype.type, nt.void):
++ return obj.view(dtype=(self.dtype.type, obj.dtype))
++ return obj
+ else:
+ return obj.view(ndarray)
+
+@@ -463,8 +465,9 @@ def __getattribute__(self, attr):
+ # Thus, you can't create attributes on-the-fly that are field names.
+ def __setattr__(self, attr, val):
+
+- # Automatically convert (void) dtypes to records.
+- if attr == 'dtype' and issubclass(val.type, nt.void):
++ # Automatically convert (void) structured types to records
++ # (but not non-void structures, subarrays, or non-structured voids)
++ if attr == 'dtype' and issubclass(val.type, nt.void) and val.fields:
+ val = sb.dtype((record, val))
+
+ newattr = attr not in self.__dict__
+@@ -499,7 +502,9 @@ def __getitem__(self, indx):
+ # we might also be returning a single element
+ if isinstance(obj, ndarray):
+ if obj.dtype.fields:
+- return obj.view(dtype=(self.dtype.type, obj.dtype.fields))
++ if issubclass(obj.dtype.type, nt.void):
++ return obj.view(dtype=(self.dtype.type, obj.dtype))
++ return obj
+ else:
+ return obj.view(type=ndarray)
+ else:
+@@ -519,11 +524,14 @@ def __repr__(self):
+ # If this is a full record array (has numpy.record dtype),
+ # or if it has a scalar (non-void) dtype with no records,
+ # represent it using the rec.array function. Since rec.array
+- # converts dtype to a numpy.record for us, use only dtype.descr,
+- # not repr(dtype).
++ # converts dtype to a numpy.record for us, convert back
++ # to non-record before printing
++ plain_dtype = self.dtype
++ if plain_dtype.type is record:
++ plain_dtype = sb.dtype((nt.void, plain_dtype))
+ lf = '\n'+' '*len("rec.array(")
+ return ('rec.array(%s, %sdtype=%s)' %
+- (lst, lf, repr(self.dtype.descr)))
++ (lst, lf, plain_dtype))
+ else:
+ # otherwise represent it using np.array plus a view
+ # This should only happen if the user is playing
+diff --git a/numpy/core/tests/test_records.py b/numpy/core/tests/test_records.py
+index 7a18f29..290bc4f 100644
+--- a/numpy/core/tests/test_records.py
++++ b/numpy/core/tests/test_records.py
+@@ -121,6 +121,23 @@ def test_recarray_views(self):
+ assert_equal(type(rv), np.recarray)
+ assert_equal(rv.dtype.type, np.record)
+
++ # check that accessing nested structures keep record type, but
++ # not for subarrays, non-void structures, non-structured voids
++ test_dtype = [('a', 'f4,f4'), ('b', 'V8'), ('c', ('f4',2)),
++ ('d', ('i8', 'i4,i4'))]
++ r = np.rec.array([((1,1), b'11111111', [1,1], 1),
++ ((1,1), b'11111111', [1,1], 1)], dtype=test_dtype)
++ assert_equal(r.a.dtype.type, np.record)
++ assert_equal(r.b.dtype.type, np.void)
++ assert_equal(r.c.dtype.type, np.float32)
++ assert_equal(r.d.dtype.type, np.int64)
++ # check the same, but for views
++ r = np.rec.array(np.ones(4, dtype='i4,i4'))
++ assert_equal(r.view('f4,f4').dtype.type, np.record)
++ assert_equal(r.view(('i4',2)).dtype.type, np.int32)
++ assert_equal(r.view('V8').dtype.type, np.void)
++ assert_equal(r.view(('i8', 'i4,i4')).dtype.type, np.int64)
++
+ #check that we can undo the view
+ arrs = [np.ones(4, dtype='f4,i4'), np.ones(4, dtype='f8')]
+ for arr in arrs:
+@@ -135,6 +152,12 @@ def test_recarray_repr(self):
+ a = np.array(np.ones(4, dtype='f8'))
+ assert_(repr(np.rec.array(a)).startswith('rec.array'))
+
++ # check that the 'np.record' part of the dtype isn't shown
++ a = np.rec.array(np.ones(3, dtype='i4,i4'))
++ assert_equal(repr(a).find('numpy.record'), -1)
++ a = np.rec.array(np.ones(3, dtype='i4'))
++ assert_(repr(a).find('dtype=int32') != -1)
++
+ def test_recarray_from_names(self):
+ ra = np.rec.array([
+ (1, 'abc', 3.7000002861022949, 0),