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9637d0602f2222cdbf5135a0dd4e8bb4f74b5e09
* add config files for multimodule receiving * read subfiles with unordered and missing frames * save work debugging * Revert "save work debugging" This reverts commite791992a05. * Revert "read subfiles with unordered and missing frames" This reverts commit1177fd129d. * throw when two frames have different frame numbers * write single part RawFile (working beta) * correct total number of frames in master file * add new mythen file with syncd frames * save work * save work for receive multimodule multimodule config results in too much packet loss. needs more debugging. * setup Task Distributiosn/ parallelization programming model * read frames with same frame number * clang-tidy fixes, formatting, add tests * added second receiver * Synchronize between zmq streams and merge frames * improve readability in loop * fix failing tests * add simple test for merge frames --------- Co-authored-by: Bechir <bechir.brahem420@gmail.com> Co-authored-by: Erik Frojdh <erik.frojdh@gmail.com>
aare
Data analysis library for PSI hybrid detectors
Folder structure
| Folder | subfolder | Content |
|---|---|---|
| include/ | aare/ | top level header/s |
| core/ | include/ | public headers for core |
| src/ | source files and non public headers |
file_io class diagram
Test the zmq socket with a detector simulator
1. Download and build the slsDetectorPackage
git clone https://github.com/slsdetectorgroup/slsDetectorPackage.git --branch=8.0.1 #or the desired branch
cd slsDetectorPackage
mkdir build && cd build
cmake .. -DSLS_USE_SIMULATOR=ON
make -j8 #or your number of cores
2. Launch the slsReceiver
bin/slsReceiver
3. Launch the virtual server
bin/jungfrauDetectorServer_virtual
4 Configure the detector simulator
#sample config file is in etc/ in the aare repo
sls_detector_put config etc/virtual_jf.config
#Now you can take images using sls_detector_acquire
sls_detector_acquire
5. Run the zmq example
examples/zmq_example
#Will print the headers fof the frames received
Test the zmq processing replaying data
To be implemented
generate documentation
# for doxygen documentation
doxygen .doxygen.config
# for automatically generated plant uml diagrams
clang-uml
Languages
Jupyter Notebook
72.7%
C++
23.9%
Python
2.4%
CMake
1%
