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Changed refereences to iteritems() to items() for Py3 compat

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This commit is contained in:
Mike Croucher 2015-03-02 19:50:41 +00:00
parent 46fc08a448
commit 82722305c3
3 changed files with 15 additions and 6 deletions
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2
GPy/core/parameterization/param.py
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@ -342,7 +342,7 @@ class ParamConcatenation(object):
import operator import operator
#py3 fix #py3 fix
#self.parents = map(lambda x: x[0], sorted(parents.iteritems(), key=operator.itemgetter(1))) #self.parents = map(lambda x: x[0], sorted(parents.iteritems(), key=operator.itemgetter(1)))
self.parents = map(lambda x: x[0], sorted(parents.tems(), key=operator.itemgetter(1))) self.parents = map(lambda x: x[0], sorted(parents.items(), key=operator.itemgetter(1)))
#=========================================================================== #===========================================================================
# Get/set items, enable broadcasting # Get/set items, enable broadcasting
#=========================================================================== #===========================================================================

2
GPy/core/parameterization/parameter_core.py
View file

@ -710,7 +710,7 @@ class OptimizationHandlable(Indexable):
self._highest_parent_.tie.collate_gradient() self._highest_parent_.tie.collate_gradient()
#py3 fix #py3 fix
#[np.put(g, i, c.gradfactor_non_natural(self.param_array[i], g[i])) for c, i in self.constraints.iteritems() if c != __fixed__] #[np.put(g, i, c.gradfactor_non_natural(self.param_array[i], g[i])) for c, i in self.constraints.iteritems() if c != __fixed__]
[np.put(g, i, c.gradfactor_non_natural(self.param_array[i], g[i])) for c, i in self.constraints.iteritems() if c != __fixed__] [np.put(g, i, c.gradfactor_non_natural(self.param_array[i], g[i])) for c, i in self.constraints.items() if c != __fixed__]
if self._has_fixes(): return g[self._fixes_] if self._has_fixes(): return g[self._fixes_]
return g return g

17
GPy/testing/pickle_tests.py
View file

@ -29,7 +29,9 @@ def toy_model():
class ListDictTestCase(unittest.TestCase): class ListDictTestCase(unittest.TestCase):
def assertListDictEquals(self, d1, d2, msg=None): def assertListDictEquals(self, d1, d2, msg=None):
for k,v in d1.iteritems(): #py3 fix
#for k,v in d1.iteritems():
for k,v in d1.items():
self.assertListEqual(list(v), list(d2[k]), msg) self.assertListEqual(list(v), list(d2[k]), msg)
def assertArrayListEquals(self, l1, l2): def assertArrayListEquals(self, l1, l2):
for a1, a2 in itertools.izip(l1,l2): for a1, a2 in itertools.izip(l1,l2):
@ -39,8 +41,13 @@ class Test(ListDictTestCase):
def test_parameter_index_operations(self): def test_parameter_index_operations(self):
pio = ParameterIndexOperations(dict(test1=np.array([4,3,1,6,4]), test2=np.r_[2:130])) pio = ParameterIndexOperations(dict(test1=np.array([4,3,1,6,4]), test2=np.r_[2:130]))
piov = ParameterIndexOperationsView(pio, 20, 250) piov = ParameterIndexOperationsView(pio, 20, 250)
self.assertListDictEquals(dict(piov.items()), dict(piov.copy().iteritems())) #py3 fix
self.assertListDictEquals(dict(pio.iteritems()), dict(pio.copy().items())) #self.assertListDictEquals(dict(piov.items()), dict(piov.copy().iteritems()))
self.assertListDictEquals(dict(piov.items()), dict(piov.copy().items()))
#py3 fix
#self.assertListDictEquals(dict(pio.iteritems()), dict(pio.copy().items()))
self.assertListDictEquals(dict(pio.items()), dict(pio.copy().items()))
self.assertArrayListEquals(pio.copy().indices(), pio.indices()) self.assertArrayListEquals(pio.copy().indices(), pio.indices())
self.assertArrayListEquals(piov.copy().indices(), piov.indices()) self.assertArrayListEquals(piov.copy().indices(), piov.indices())
@ -55,7 +62,9 @@ class Test(ListDictTestCase):
pickle.dump(piov, f) pickle.dump(piov, f)
f.seek(0) f.seek(0)
pio2 = pickle.load(f) pio2 = pickle.load(f)
self.assertListDictEquals(dict(piov.items()), dict(pio2.iteritems())) #py3 fix
#self.assertListDictEquals(dict(piov.items()), dict(pio2.iteritems()))
self.assertListDictEquals(dict(piov.items()), dict(pio2.items()))
def test_param(self): def test_param(self):
param = Param('test', np.arange(4*2).reshape(4,2)) param = Param('test', np.arange(4*2).reshape(4,2))