Releases: xpdAcq/xpdAn
0.8.2
License:
By downloading and using this software you agree to the license here:
https://github.com/xpdAcq/xpdAn/blob/master/LICENSE
Download and Installation:
The package is available on Anaconda
If you are using Anaconda, make sure you are pulling from channel conda-forge
Install the package (If you are using a conda environment make sure to
activate it first):
conda install xpdan -c conda-forge
If you do not use conda (and we recommend you do) you may download and build
the sources from the links below. Unpack the sources, then in the base
directory type
python setup.py install
Changelog:
Added:
None
- Add installation scripts for closed source packages like diffpy.pdfgetx
Changed:
- Use multiprocess in pathos instead of multiprocessing to run the tests for servers
Fixed:
- Update the code to fit the latest version of databroker and ophyd
0.8.1
License:
By downloading and using this software you agree to the license here:
https://github.com/xpdAcq/xpdAn/blob/master/LICENSE
Download and Installation:
The package is available on Anaconda
If you are using Anaconda, make sure you are pulling from channel conda-forge
Install the package (If you are using a conda environment make sure to
activate it first):
conda install xpdan -c conda-forge
If you do not use conda (and we recommend you do) you may download and build
the sources from the links below. Unpack the sources, then in the base
directory type
python setup.py install
Changelog:
Fixed:
xpdan.vend.callbacks.core.Retrieve
does the right thing when there is no
filled
key
0.8.0
License:
By downloading and using this software you agree to the license here:
https://github.com/xpdAcq/xpdAn/blob/master/LICENSE
Download and Installation:
The package is available on Anaconda
If you are using Anaconda, make sure you are pulling from channel conda-forge
Install the package (If you are using a conda environment make sure to
activate it first):
conda install xpdan -c conda-forge
If you do not use conda (and we recommend you do) you may download and build
the sources from the links below. Unpack the sources, then in the base
directory type
python setup.py install
Changelog:
Added:
xpdan.startup.instensity_server
for tracking positions in 1D patterns- peak position and width server
- intensity server to setup.py
stage_blacklist
to analysis server, allowing for speedups by not passing
large arrays back to the proxy.xpdan.vend.callbacks.mpl_plotting.SavePlots
callback for saving plots
when a scan is finishedsave_folder
kwarg for viz server. If provided save figures
Fixed:
analysis_server
kwargs are properly passed- analysis server reuses diffraction pipeline (getting rid of memory issues)
0.7.0
License:
By downloading and using this software you agree to the license here:
https://github.com/xpdAcq/xpdAn/blob/master/LICENSE
Download and Installation:
The package is available on Anaconda
If you are using Anaconda, make sure you are pulling from channel conda-forge
Install the package (If you are using a conda environment make sure to
activate it first):
conda install xpdan -c conda-forge
If you do not use conda (and we recommend you do) you may download and build
the sources from the links below. Unpack the sources, then in the base
directory type
python setup.py install
Changelog:
Added:
- Pull detector name from descriptor if possible
- Analysis system for radiograph data processing
- Routers for diffraction and radiograph analysis
zscore
kwarg to analysis pipeline
0.6.1
License:
By downloading and using this software you agree to the license here:
https://github.com/xpdAcq/xpdAn/blob/master/LICENSE
Download and Installation:
The package is available on Anaconda
If you are using Anaconda, make sure you are pulling from channel conda-forge
Install the package (If you are using a conda environment make sure to
activate it first):
conda install xpdan -c conda-forge
If you do not use conda (and we recommend you do) you may download and build
the sources from the links below. Unpack the sources, then in the base
directory type
python setup.py install
Changelog:
Changed:
mayavi
callback is accessed via a shim in case it doesn't exist
0.6.0
License:
By downloading and using this software you agree to the license here:
https://github.com/xpdAcq/xpdAn/blob/master/LICENSE
Download and Installation:
The package is available on Anaconda
If you are using Anaconda, make sure you are pulling from channel conda-forge
Install the package (If you are using a conda environment make sure to
activate it first):
conda install xpdan -c conda-forge
If you do not use conda (and we recommend you do) you may download and build
the sources from the links below. Unpack the sources, then in the base
directory type
python setup.py install
Changelog:
Added:
- Add
inbound_proxy_address
so we can access the publisher at runtime - Add
qoi_server
CLI and module for computing various quantities of interest - Added amorphsivity to QOIs
- Support for 3D pencil beam reconstructions
- Support for Registry backed full field reconstructions
ctPDF_example.py
example for pencil beam
Changed:
- Use
image_fields
for loading the images tomo_example.py
runs on a registry backed detector
Fixed:
- Pencil beam no longer tries to run independent var reconstructions
0.5.2
License:
By downloading and using this software you agree to the license here:
https://github.com/xpdAcq/xpdAn/blob/master/LICENSE
Download and Installation:
The package is available on Anaconda
If you are using Anaconda, make sure you are pulling from channel conda-forge
Install the package (If you are using a conda environment make sure to
activate it first):
conda install xpdan -c conda-forge
If you do not use conda (and we recommend you do) you may download and build
the sources from the links below. Unpack the sources, then in the base
directory type
python setup.py install
Changelog:
Fixed:
- Image streams specifically listen to the primary event stream
AlignEventStream
with the raw data listens to the primary event stream
0.5.1
License:
By downloading and using this software you agree to the license here:
https://github.com/xpdAcq/xpdAn/blob/master/LICENSE
Download and Installation:
The package is available on Anaconda
If you are using Anaconda, make sure you are pulling from channel conda-forge
Install the package (If you are using a conda environment make sure to
activate it first):
conda install xpdan -c conda-forge
If you do not use conda (and we recommend you do) you may download and build
the sources from the links below. Unpack the sources, then in the base
directory type
python setup.py install
Changelog:
Fixed:
- Fix mask overlay order so it isn't delayed
0.5.0
License:
By downloading and using this software you agree to the license here:
https://github.com/xpdAcq/xpdAn/blob/master/LICENSE
Download and Installation:
The package is available on Anaconda
If you are using Anaconda, make sure you are pulling from channel conda-forge
Install the package (If you are using a conda environment make sure to
activate it first):
conda install xpdan -c conda-forge
If you do not use conda (and we recommend you do) you may download and build
the sources from the links below. Unpack the sources, then in the base
directory type
python setup.py install
Changelog:
Added:
- Units for most reduced data streams (mostly so waterfall can plot them)
- Added
plot_graph
to analysis server so we can visualize the graph
Changed:
- Use
dark_frame=True
to determine if a scan is a dark scan. This means
that scans without darks can now be processed, although they will use the
most recenlty cached dark. raw_stripped
is run first, so all the aligned data can be emitted ASAP.
This means that data can be saved as soon as it is created, rather than
waiting for the last data to be processed.- Simplified the plotting via the new
LiveWaterfall
callback. - Support
original_start_uid
system - use raw start document time for file naming
0.4.1
License:
By downloading and using this software you agree to the license here:
https://github.com/xpdAcq/xpdAn/blob/master/LICENSE
Download and Installation:
The package is available on Anaconda
If you are using Anaconda, make sure you are pulling from channel conda-forge
Install the package (If you are using a conda environment make sure to
activate it first):
conda install xpdan -c conda-forge
If you do not use conda (and we recommend you do) you may download and build
the sources from the links below. Unpack the sources, then in the base
directory type
python setup.py install