438b2a63d195c8f5ccecae35d577d8bfde354406,framework/Optimizers/GeneticAlgorithm.py,GeneticAlgorithm,_useRealization,#GeneticAlgorithm#Any#Any#,352
Before Change
for i in range(np.shape(children)[0]):
newRlz={}
for _,var in enumerate(self.toBeSampled.keys()):
newRlz[var] = float(children .loc[i,var].values)
self._submitRun(newRlz, traj, self.getIteration(traj))
After Change
"data":children.data}
// newRlz = xr.Dataset.from_dict(d)
// children.to_dataset(name = "children")
newRlz = xr.Dataset({("chromosome","Gene"):children.data})
// newRlz = xr.Dataset(({"chromosome":[1,2,3,4,5,6,7,8,9,10],"Gene":[0,1,2,3,4,5]},children.data))
// // Add second DataArray to existing dataset (ds)
// ds["var2"] = var2
// newRlz = xr.Dataset.from_dict(childrenDict)
In pattern: SUPERPATTERN
Frequency: 3
Non-data size: 5
Instances Project Name: idaholab/raven
Commit Name: 438b2a63d195c8f5ccecae35d577d8bfde354406
Time: 2020-08-22
Author: mohammad.abdo@inl.gov
File Name: framework/Optimizers/GeneticAlgorithm.py
Class Name: GeneticAlgorithm
Method Name: _useRealization
Project Name: PyMVPA/PyMVPA
Commit Name: 3ad252fc2ee94f336a6d1a31d128e38ed0d147f0
Time: 2010-01-12
Author: debian@onerussian.com
File Name: mvpa/tests/test_datasetng.py
Class Name:
Method Name: test_repr
Project Name: PyMVPA/PyMVPA
Commit Name: f7a563088ae7c8656b0170f9b205d061776d209f
Time: 2010-03-10
Author: debian@onerussian.com
File Name: mvpa/measures/anova.py
Class Name: CompoundOneWayAnova
Method Name: _call