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Commits on Jul 15, 2014

• AxonIO compatible with new Event

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• PEP8

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Commits on Jul 7, 2014

• NeoMatlabIO reactivated

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• PEP8 and cosmetic changes

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• Should fix NeoMatlabIO example doesn't work #153

  

  samuelgarcia

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Commits on Jun 30, 2014

• NeoHDF5IO compatible with removed Spike, EventArray, EpochArray

  

  Robert Pröpper

  authored and

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Commits on Jun 27, 2014

• Merge pull request #169 from toddrjen/apibreak

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• enable IO classes that are already compatible with the latest API change

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• make brainwaresrcio work with the latest API change

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• Merge pull request #165 from toddrjen/arrayonly

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Commits on Jun 25, 2014

• remove Spike class

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• remove Event class and rename EventArray to Event

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• remove Epoch class and rename EpochArray to Epoch

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Commits on May 12, 2014

• Merge pull request #156 from tclose/pickle_irregularly_sampled

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• added unit test for pickle dump/load of IrregularlySampledSignals

  

  Tom Close

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• added eclipse settings files to gitignore

  

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Commits on Apr 29, 2014

• Added __reduce__ method to IrregularlySampledSignal to allow it to be

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Commits on Apr 11, 2014

• Merge pull request #150 from toddrjen/iologging

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Commits on Apr 10, 2014

• create centralized logger for neo and BaseIO and add logging documentation

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Commits on Apr 2, 2014

• Merge pull request #148 from toddrjen/logfix

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• use nullhandler for logging in brainware

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• Merge pull request #147 from toddrjen/tdtperf

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• use EventArray in BrainwareSrcIO

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• Use logging and Brainware IO cleanups

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• split path handling into own function in iotest/tools.py

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Commits on Apr 1, 2014

• handle lazy_shape in spiketrain array_finalize

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• Fix read_params ( issue #146 )

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Commits on Mar 29, 2014

• Merge pull request #143 from toddrjen/container

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Commits on Mar 28, 2014

• create common container base class and refactor container classes to use it

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• refactor container core tests

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• refactor assert_neo_object_is_compliant

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• improve merge functionality and documentation

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• refactor test_generate_datasets

  toddrjen

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• refactor fake_neo to be more complete and predictable

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• make generate_datasets annotations consistent

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