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- use select keys that are identically named as their corresponding class
attributes (e.g., ``select={'channel':...}``)
- allow trial selections using NumPy arrays (closes#180)
- consistently support scalar selectors (e.g., ``select={'channel':'channel01'}``)
(addresses #39)
- check anonymous keywords of `selectdata` to filter for typos like ``trails=[0,1]``
(closes#223)
- todo: modify tests and include new tests for introduced functionality
On branch fix_selectcsdata
Changes to be committed:
modified: syncopy/datatype/base_data.py
modified: syncopy/datatype/methods/selectdata.py
modified: syncopy/shared/computational_routine.py
modified: syncopy/shared/kwarg_decorators.py
modified: syncopy/shared/tools.py
modified: syncopy/tests/local_spy.py
modified: syncopy/tests/test_computationalroutine.py
modified: syncopy/tests/test_connectivity.py
modified: syncopy/tests/test_continuousdata.py
modified: syncopy/tests/test_discretedata.py
modified: syncopy/tests/test_selectdata.py
- included tests for scalar selections (closes#39)
- included tests for trial selections via NumPy arrays (closes#180)
- included tests for proper parsing of selection keywords (closes#223)
On branch fix_selectcsdata
Changes to be committed:
modified: syncopy/tests/test_continuousdata.py
modified: syncopy/tests/test_selectdata.py
A trial selection with an integer array
select= {'trials' : np.array([1,2,3])}
fails and throws anAttributeError
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