diff options
-rwxr-xr-x | Wrappers/Python/ccpi/framework/BlockDataContainer.py | 35 | ||||
-rwxr-xr-x | Wrappers/Python/test/test_BlockDataContainer.py | 50 |
2 files changed, 67 insertions, 18 deletions
diff --git a/Wrappers/Python/ccpi/framework/BlockDataContainer.py b/Wrappers/Python/ccpi/framework/BlockDataContainer.py index b9f5c5f..358ba2d 100755 --- a/Wrappers/Python/ccpi/framework/BlockDataContainer.py +++ b/Wrappers/Python/ccpi/framework/BlockDataContainer.py @@ -77,8 +77,9 @@ class BlockDataContainer(object): def add(self, other, *args, **kwargs):
assert self.is_compatible(other)
out = kwargs.get('out', None)
+ #print ("args" , *args)
if isinstance(other, Number):
- return type(self)(*[ el.add(other, out, *args, **kwargs) for el in self.containers], shape=self.shape)
+ return type(self)(*[ el.add(other, *args, **kwargs) for el in self.containers], shape=self.shape)
elif isinstance(other, list) or isinstance(other, numpy.ndarray):
return type(self)(*[ el.add(ot, out, *args, **kwargs) for el,ot in zip(self.containers,other)], shape=self.shape)
return type(self)(
@@ -99,52 +100,52 @@ class BlockDataContainer(object): self.is_compatible(other)
out = kwargs.get('out', None)
if isinstance(other, Number):
- return type(self)(*[ el.multiply(other, out, *args, **kwargs) for el in self.containers], shape=self.shape)
+ return type(self)(*[ el.multiply(other, *args, **kwargs) for el in self.containers], shape=self.shape)
elif isinstance(other, list):
- return type(self)(*[ el.multiply(ot, out, *args, **kwargs) for el,ot in zip(self.containers,other)], shape=self.shape)
+ return type(self)(*[ el.multiply(ot, *args, **kwargs) for el,ot in zip(self.containers,other)], shape=self.shape)
elif isinstance(other, numpy.ndarray):
- return type(self)(*[ el.multiply(ot, out, *args, **kwargs) for el,ot in zip(self.containers,other)], shape=self.shape)
- return type(self)(*[ el.multiply(ot, out, *args, **kwargs) for el,ot in zip(self.containers,other.containers)],
+ return type(self)(*[ el.multiply(ot, *args, **kwargs) for el,ot in zip(self.containers,other)], shape=self.shape)
+ return type(self)(*[ el.multiply(ot, *args, **kwargs) for el,ot in zip(self.containers,other.containers)],
shape=self.shape)
def divide(self, other, *args, **kwargs):
self.is_compatible(other)
out = kwargs.get('out', None)
if isinstance(other, Number):
- return type(self)(*[ el.divide(other, out, *args, **kwargs) for el in self.containers], shape=self.shape)
+ return type(self)(*[ el.divide(other, *args, **kwargs) for el in self.containers], shape=self.shape)
elif isinstance(other, list) or isinstance(other, numpy.ndarray):
- return type(self)(*[ el.divide(ot, out, *args, **kwargs) for el,ot in zip(self.containers,other)], shape=self.shape)
- return type(self)(*[ el.divide(ot, out, *args, **kwargs) for el,ot in zip(self.containers,other.containers)],
+ return type(self)(*[ el.divide(ot, *args, **kwargs) for el,ot in zip(self.containers,other)], shape=self.shape)
+ return type(self)(*[ el.divide(ot, *args, **kwargs) for el,ot in zip(self.containers,other.containers)],
shape=self.shape)
def power(self, other, *args, **kwargs):
assert self.is_compatible(other)
out = kwargs.get('out', None)
if isinstance(other, Number):
- return type(self)(*[ el.power(other, out, *args, **kwargs) for el in self.containers], shape=self.shape)
+ return type(self)(*[ el.power(other, *args, **kwargs) for el in self.containers], shape=self.shape)
elif isinstance(other, list) or isinstance(other, numpy.ndarray):
- return type(self)(*[ el.power(ot, out, *args, **kwargs) for el,ot in zip(self.containers,other)], shape=self.shape)
- return type(self)(*[ el.power(ot, out, *args, **kwargs) for el,ot in zip(self.containers,other.containers)], shape=self.shape)
+ return type(self)(*[ el.power(ot, *args, **kwargs) for el,ot in zip(self.containers,other)], shape=self.shape)
+ return type(self)(*[ el.power(ot, *args, **kwargs) for el,ot in zip(self.containers,other.containers)], shape=self.shape)
def maximum(self,other, *args, **kwargs):
assert self.is_compatible(other)
out = kwargs.get('out', None)
if isinstance(other, Number):
- return type(self)(*[ el.maximum(other, out, *args, **kwargs) for el in self.containers], shape=self.shape)
+ return type(self)(*[ el.maximum(other, *args, **kwargs) for el in self.containers], shape=self.shape)
elif isinstance(other, list) or isinstance(other, numpy.ndarray):
- return type(self)(*[ el.maximum(ot, out, *args, **kwargs) for el,ot in zip(self.containers,other)], shape=self.shape)
- return type(self)(*[ el.maximum(ot, out, *args, **kwargs) for el,ot in zip(self.containers,other.containers)], shape=self.shape)
+ return type(self)(*[ el.maximum(ot, *args, **kwargs) for el,ot in zip(self.containers,other)], shape=self.shape)
+ return type(self)(*[ el.maximum(ot, *args, **kwargs) for el,ot in zip(self.containers,other.containers)], shape=self.shape)
## unary operations
def abs(self, *args, **kwargs):
out = kwargs.get('out', None)
- return type(self)(*[ el.abs(out, *args, **kwargs) for el in self.containers], shape=self.shape)
+ return type(self)(*[ el.abs(*args, **kwargs) for el in self.containers], shape=self.shape)
def sign(self, *args, **kwargs):
out = kwargs.get('out', None)
- return type(self)(*[ el.sign(out, *args, **kwargs) for el in self.containers], shape=self.shape)
+ return type(self)(*[ el.sign(*args, **kwargs) for el in self.containers], shape=self.shape)
def sqrt(self, *args, **kwargs):
out = kwargs.get('out', None)
- return type(self)(*[ el.sqrt(out, *args, **kwargs) for el in self.containers], shape=self.shape)
+ return type(self)(*[ el.sqrt(*args, **kwargs) for el in self.containers], shape=self.shape)
def conjugate(self, out=None):
return type(self)(*[el.conjugate() for el in self.containers], shape=self.shape)
diff --git a/Wrappers/Python/test/test_BlockDataContainer.py b/Wrappers/Python/test/test_BlockDataContainer.py index ef11a82..ec69225 100755 --- a/Wrappers/Python/test/test_BlockDataContainer.py +++ b/Wrappers/Python/test/test_BlockDataContainer.py @@ -281,4 +281,52 @@ class TestBlockDataContainer(unittest.TestCase): s1 *= i
#numpy.testing.assert_almost_equal(s[1], cp0.get_item(0,0).as_array()[0][0][0]*s0 +cp0.get_item(1,0).as_array()[0][0][0]*s1, decimal=4)
-
\ No newline at end of file + def test_Nested_BlockDataContainer(self):
+ print ("test_Nested_BlockDataContainer")
+ ig0 = ImageGeometry(2,3,4)
+ ig1 = ImageGeometry(2,3,4)
+
+ data0 = ImageData(geometry=ig0)
+ data1 = ImageData(geometry=ig1) + 1
+
+ data2 = ImageData(geometry=ig0) + 2
+ data3 = ImageData(geometry=ig1) + 3
+
+ cp0 = BlockDataContainer(data0,data1)
+ cp1 = BlockDataContainer(data2,data3)
+
+ nbdc = BlockDataContainer(cp0, cp1)
+ nbdc2 = nbdc + 2
+ numpy.testing.assert_almost_equal(nbdc2.get_item(0).get_item(0).as_array()[0][0][0] , 2. , decimal=5)
+ numpy.testing.assert_almost_equal(nbdc2.get_item(0).get_item(1).as_array()[0][0][0] , 3. , decimal=5)
+ numpy.testing.assert_almost_equal(nbdc2.get_item(1).get_item(0).as_array()[0][0][0] , 4. , decimal=5)
+ numpy.testing.assert_almost_equal(nbdc2.get_item(1).get_item(1).as_array()[0][0][0] , 5. , decimal=5)
+
+ nbdc2 = 2 + nbdc
+ numpy.testing.assert_almost_equal(nbdc2.get_item(0).get_item(0).as_array()[0][0][0] , 2. , decimal=5)
+ numpy.testing.assert_almost_equal(nbdc2.get_item(0).get_item(1).as_array()[0][0][0] , 3. , decimal=5)
+ numpy.testing.assert_almost_equal(nbdc2.get_item(1).get_item(0).as_array()[0][0][0] , 4. , decimal=5)
+ numpy.testing.assert_almost_equal(nbdc2.get_item(1).get_item(1).as_array()[0][0][0] , 5. , decimal=5)
+
+
+ nbdc2 = nbdc * 2
+ numpy.testing.assert_almost_equal(nbdc2.get_item(0).get_item(0).as_array()[0][0][0] , 0. , decimal=5)
+ numpy.testing.assert_almost_equal(nbdc2.get_item(0).get_item(1).as_array()[0][0][0] , 2. , decimal=5)
+ numpy.testing.assert_almost_equal(nbdc2.get_item(1).get_item(0).as_array()[0][0][0] , 4. , decimal=5)
+ numpy.testing.assert_almost_equal(nbdc2.get_item(1).get_item(1).as_array()[0][0][0] , 6. , decimal=5)
+
+ nbdc2 = 2 * nbdc
+ numpy.testing.assert_almost_equal(nbdc2.get_item(0).get_item(0).as_array()[0][0][0] , 0. , decimal=5)
+ numpy.testing.assert_almost_equal(nbdc2.get_item(0).get_item(1).as_array()[0][0][0] , 2. , decimal=5)
+ numpy.testing.assert_almost_equal(nbdc2.get_item(1).get_item(0).as_array()[0][0][0] , 4. , decimal=5)
+ numpy.testing.assert_almost_equal(nbdc2.get_item(1).get_item(1).as_array()[0][0][0] , 6. , decimal=5)
+
+ nbdc2 = nbdc / 2
+ numpy.testing.assert_almost_equal(nbdc2.get_item(0).get_item(0).as_array()[0][0][0] , 0. , decimal=5)
+ numpy.testing.assert_almost_equal(nbdc2.get_item(0).get_item(1).as_array()[0][0][0] , .5 , decimal=5)
+ numpy.testing.assert_almost_equal(nbdc2.get_item(1).get_item(0).as_array()[0][0][0] , 1. , decimal=5)
+ numpy.testing.assert_almost_equal(nbdc2.get_item(1).get_item(1).as_array()[0][0][0] , 3./2 , decimal=5)
+
+
+ print ("test_Nested_BlockDataContainer OK")
+
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