Overview

Request 1140251 accepted

- update to 0.12.3:
* Variance included by Boris
* Visualizer updated to include variance by Boris
* Visualizer updated to make it flexible by Gerd
* Tests updated by Boris
* get_spectrum_dims is renamed to get spectral_dims
- update to 0.12.1:
* updates to some of the visualizers (spectrum visualizer for
example)
* bug fix to Sidpy Fitter class that was preventing proper
scaling with multiple workers
* changes on the backend regarding getting and setting
dimensions
* additional tests
- update to 0.12.0:
* New version of sidpy has been released. The major change is
that previous operations that would have resulted in return
of numpy or dask arrays are now programmed to return sidpy
dataset objects. This is particularly useful for instance
when wishing to crop, slice, and perform standard arithmetic
operations on sidpy datasets. The sidpy.fitter class has been
updated to allow for complex datasets. An example notebook is
provided here

- Remove skip for Python 3.10, dask is now available.
dask.array.
* Submodules of the main modules can be imported directly.
* Fixed bugs in sidpy.io.interface_utils.py that was causing
* Added plotting utilities written to support upcoming
* Ported additional hdf_utils functions for copying datasets

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Request History
Dirk Mueller's avatar

dirkmueller created request

- update to 0.12.3:
* Variance included by Boris
* Visualizer updated to include variance by Boris
* Visualizer updated to make it flexible by Gerd
* Tests updated by Boris
* get_spectrum_dims is renamed to get spectral_dims
- update to 0.12.1:
* updates to some of the visualizers (spectrum visualizer for
example)
* bug fix to Sidpy Fitter class that was preventing proper
scaling with multiple workers
* changes on the backend regarding getting and setting
dimensions
* additional tests
- update to 0.12.0:
* New version of sidpy has been released. The major change is
that previous operations that would have resulted in return
of numpy or dask arrays are now programmed to return sidpy
dataset objects. This is particularly useful for instance
when wishing to crop, slice, and perform standard arithmetic
operations on sidpy datasets. The sidpy.fitter class has been
updated to allow for complex datasets. An example notebook is
provided here

- Remove skip for Python 3.10, dask is now available.
dask.array.
* Submodules of the main modules can be imported directly.
* Fixed bugs in sidpy.io.interface_utils.py that was causing
* Added plotting utilities written to support upcoming
* Ported additional hdf_utils functions for copying datasets


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Being evaluated by staging project "openSUSE:Factory:Staging:adi:70"


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anag+factory accepted review

Picked "openSUSE:Factory:Staging:adi:70"


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licensedigger accepted review

ok


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dimstar accepted review

ok


Ana Guerrero's avatar

anag+factory accepted review

Staging Project openSUSE:Factory:Staging:adi:70 got accepted.


Ana Guerrero's avatar

anag+factory approved review

Staging Project openSUSE:Factory:Staging:adi:70 got accepted.


Ana Guerrero's avatar

anag+factory accepted request

Staging Project openSUSE:Factory:Staging:adi:70 got accepted.

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