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authorDaniel M. Pelt <D.M.Pelt@cwi.nl>2016-03-02 13:49:40 +0100
committerDaniel M. Pelt <D.M.Pelt@cwi.nl>2016-03-02 13:51:40 +0100
commit0fb04ca6fb4fca23b9d1b885b9f075a90542997b (patch)
tree6a0265038fbc6520703b41f1b684aa401a47bbdc
parent14bef5ea534e4aa4e6d0819e728d0a8d2b0b7925 (diff)
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Fix small Python errors
-rw-r--r--python/astra/data3d.py2
-rw-r--r--python/astra/functions.py2
-rw-r--r--python/astra/optomo.py4
3 files changed, 5 insertions, 3 deletions
diff --git a/python/astra/data3d.py b/python/astra/data3d.py
index e5ef6b0..f143659 100644
--- a/python/astra/data3d.py
+++ b/python/astra/data3d.py
@@ -89,7 +89,7 @@ def get_single(i):
:returns: :class:`numpy.ndarray` -- The object data.
"""
- return g.get_single(i)
+ return d.get_single(i)
def store(i,data):
"""Fill existing 3D object with data.
diff --git a/python/astra/functions.py b/python/astra/functions.py
index e38b5bc..3f4aa82 100644
--- a/python/astra/functions.py
+++ b/python/astra/functions.py
@@ -115,7 +115,7 @@ def add_noise_to_sino(sinogram_in, I0, seed=None):
sinogram_out = -max_sinogramRaw * np.log(sinogramCT_D)
if not isinstance(sinogram_in, np.ndarray):
- at.data2d.store(sinogram_in, sinogram_out)
+ data2d.store(sinogram_in, sinogram_out)
if not seed==None:
np.random.set_state(curstate)
diff --git a/python/astra/optomo.py b/python/astra/optomo.py
index 4a64150..dd10713 100644
--- a/python/astra/optomo.py
+++ b/python/astra/optomo.py
@@ -160,7 +160,7 @@ class OpTomo(scipy.sparse.linalg.LinearOperator):
return self._matvec(v)
return scipy.sparse.linalg.LinearOperator.__mul__(self, v)
- def reconstruct(self, method, s, iterations=1, extraOptions = {}):
+ def reconstruct(self, method, s, iterations=1, extraOptions = None):
"""Reconstruct an object.
:param method: Method to use for reconstruction.
@@ -172,6 +172,8 @@ class OpTomo(scipy.sparse.linalg.LinearOperator):
:param extraOptions: Extra options to use during reconstruction (i.e. for cfg['option']).
:type extraOptions: :class:`dict`
"""
+ if extraOptions is None:
+ extraOptions={}
s = self.__checkArray(s, self.sshape)
sid = self.data_mod.link('-sino',self.pg,s)
v = np.zeros(self.vshape,dtype=np.float32)