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Releases: esi-neuroscience/syncopy

v0.1a1

18 Jan 13:12
@pantaray pantaray
v0.1a1
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v0.1a1 Pre-release
Pre-release

[v0.1a1] - 2019-10-14

Preview alpha release of SyNCoPy for first ESI-internal tryout workshop.

NEW

  • Added routines esi_cluster_setup and cluster_cleanup to facilitate
    using SLURM from within SyNCoPy
  • Included new FauxTrial class and _preview_trial class methods to
    permit quick and performant compute dry-runs
  • Included a select keyword to allow for in-place selections that are applied
    on the fly in any meta-function via a new decorator. The heavy lifting is performed
    by a new Selector class
  • Re-worked the specest package: mtmfft is now fully functional
  • Overhauled HTML documentation

CHANGED

  • New layout of SyNCoPy objects on disk: introduction of Spy-containers supporting
    multiple datasets/objects within the same folder
  • First working implementation of spy.load and spy.save
  • Use dask bags instead of arrays in parallelization engine to permit more
    flexible distribution of data across workers
  • Re-worked trialdefinition mechanics: attach the full trialdefinition array
    to objects and fetch relevant information on the fly: BaseData._trialdefinition
    unifies sampleinfo, t0 and trialinfo and calls definetrial

REMOVED

  • Removed dimlabels property

DEPRECATED

  • Retired Dask arrays in ComputationalRoutine; use dask bags instead

FIXED

  • Flipped sign of offsets in trialdefinition to be compatible w/FieldTrip
  • Enforced PEP8 compliance
  • Cleaned up constructor of BaseData to prohibit accessing uninitialized attributes
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v0.1a0

18 Jan 13:11
@pantaray pantaray
v0.1a0
ba86bf8
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v0.1a0 Pre-release
Pre-release

[v0.1a0] - 2019-07-20

Internal pre-alpha release of SyNCoPy. Prototypes of data format, user-interface
and parallelization framework are in place.

NEW

  • Class structure is laid out, meta-functions are present but mostly place-holders
  • Support FieldTrip-style calling syntax via cfg "structures" (the keys of which are
    "unwrapped" by a corresponding decorator)
  • Preliminary I/O capabilities implemented, objects can be written/read
    to/from HDF5
  • First prototype of parallelization framework based on Dask
  • Custom traceback that is enabeld as soon as SyNCoPy is imported: do not
    spill hundreds of lines to STDOUT, instead highlight most probable cause
    of error and explain how to get to full traceback if wanted
  • Basic session management to ensure concurrent SyNCoPy sessions only access
    their own data
Assets 2
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