126 Commits

Author SHA1 Message Date
1bc2fd770a Binding 5x5, 7x7 and 9x9 clusters in python (#188)
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- New binding code with macros to bind all cluster templates
- Simplified factory function on the python side
- 5x5, 7x7 and 9x9 bindings in python
2025-06-05 08:57:59 +02:00
69964e08d5 Refactor cluster bindings (#185)
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- Split up the file for cluster bindings
- new file names according to bind_ClassName.hpp
2025-06-03 08:43:40 +02:00
9ecf4f4b44 merge
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2025-05-22 11:23:57 +02:00
f2a024644b bumped version upload on release 2025-05-22 11:10:23 +02:00
9e1b8731b0 RawSubFile support multi file access (#173)
This PR is a fix/improvement to a problem that Jonathan had. (#156) The
original implementation opened all subfiles at once witch works for
normal sized datasets but fails at a certain point (thousands of files).

- This solution uses RawSubFile to manage the different file indicies
and only opens the file we need
- Added logger.h from slsDetectorPackage for debug printing (in
production no messages should be visible)
2025-05-22 11:00:03 +02:00
a6eebbe9bd removed extra const on return type, added cast (#177)
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Fixed warnings on apple clang:

- removed extra const on return type
- added cast to suppress a float to double conversion warning
2025-05-20 15:27:38 +02:00
81588fba3b linking to threads and removed extra ; (#176)
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- Fixing broken build of tests on RH8 by linking pthreads
- Removed extra ; causing warnings with -Wpedantic
2025-05-06 17:18:54 +02:00
276283ff14 automated versioning (#175)
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Co-authored-by: mazzol_a <mazzol_a@pc17378.psi.ch>
Co-authored-by: Erik Fröjdh <erik.frojdh@psi.ch>
2025-05-06 14:48:54 +02:00
cf158e2dcd Added scurve fitting (#168)
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- added scurve fitting with two different signs (scurve, scurve2)
- at the moment no option to set initial parameters

---------

Co-authored-by: JulianHeymes <julian.heymes@psi.ch>
2025-05-05 11:40:04 +02:00
12ae1424fb consistent use of ssize_t instead of int64_t (#167)
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- Consistent use of ssize_t to avoid issues on 32 bit platforms and also
mac with (long long int as ssize_t)
2025-04-25 15:52:02 +02:00
6db201f397 updated conda environment (#169)
- updated dev-env.yml conda environment file
- added boost-histogram as a requirement for the python tests
- added environment file in conda build process
2025-04-25 15:24:45 +02:00
d5226909fe Api cluster vector (#147)
Cluster is newly templated on ClusterSize, Cluster data type and cluster coordinate type, accepting arbitrary cluster sizes.
2025-04-25 12:29:39 +02:00
eb6862ff99 changed name of GainMap to InvertedGainMap
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2025-04-25 12:03:59 +02:00
f06e722dce changes from PR review 2025-04-25 11:38:56 +02:00
2e0424254c removed uneccecary codna numpy variants (#165)
With numpy 2.0 we no longer need to build against every supported numpy
version. This way we can save up to 6 builds.

- https://numpy.org/doc/stable/dev/depending_on_numpy.html
-
https://conda-forge.org/docs/maintainer/knowledge_base/#building-against-numpy
2025-04-25 10:31:40 +02:00
7b5e32a824 Api extra (#166)
Changes to be able to run the example notebooks: 

- Invert gain map on setting (multiplication is faster but user supplies
ADU/energy)
- Cast after applying gain map not to loose precision (Important for
int32 clusters)
- "factor" for ClusterFileSink 
- Cluster size available to be able to create the right file sink
2025-04-25 10:31:16 +02:00
86d343f5f5 merged with developer
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2025-04-23 11:45:04 +02:00
129e7e9f9d Merge branch 'developer' of github.com:slsdetectorgroup/aare into developer
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2025-04-22 16:24:32 +02:00
58c934d9cf added mpl to conda specs 2025-04-22 16:24:15 +02:00
4088b0889d Merge branch 'main' into developer 2025-04-22 16:18:48 +02:00
d5f8daf194 removed debug option in CMakelist
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2025-04-22 16:16:31 +02:00
c6e8e5f6a1 inverted gain map 2025-04-22 16:16:27 +02:00
b501c31e38 added missed commit 2025-04-22 15:22:47 +02:00
326941e2b4 Custom base for decoding ADC data (#163)
New function apply_custom_weights (can we find a better name) that takes
a uint16 and a NDView<double,1> of bases for the conversion. For each
supplied weight it is used as base (instead of 2) to convert from bits
to a double.

---------

Co-authored-by: siebsi <sieb.patr@gmail.com>
2025-04-22 15:20:46 +02:00
84aafa75f6 Building wheels and uploading to pypi (#160)
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Still to be resolved in another PR: 

- Consistent versioning across compiled code, conda and pypi
2025-04-22 08:36:34 +02:00
177459c98a added multithreaded cluster finder test
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2025-04-17 17:09:53 +02:00
c49a2fdf8e removed cluster_2x2 and cluster3x3 specializations
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2025-04-16 16:40:42 +02:00
14211047ff added function warpper around ClusterFinderMT and ClusterCollector to construct object 2025-04-16 14:22:44 +02:00
acd9d5d487 moved parts of ClusterFile implementation into declaration
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2025-04-15 15:15:34 +02:00
d4050ec557 enum is now enum class 2025-04-15 14:57:25 +02:00
fca9d5d2fa replaced extract template parameters 2025-04-15 14:40:09 +02:00
1174f7f434 fixed calculate eta 2025-04-15 13:18:25 +02:00
2bb7d360bf Adding more tests, fixing hitmap and reading with cuts (#161)
- Fix for hitmap
- Fix for reading clusters with cut
- Added more tests around eta
- Added factory function for creating the cluster finder
2025-04-15 12:25:01 +02:00
a90e532b21 removed extra sum after merge
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2025-04-15 08:08:59 +02:00
8d8182c632 qMerge branch 'testing_clusters' of github.com:slsdetectorgroup/aare into testing_clusters 2025-04-15 08:05:12 +02:00
5f34ab6df1 minor comment 2025-04-15 08:05:05 +02:00
5c8a5099fd Merge branch 'api_cluster_vector' into testing_clusters 2025-04-14 16:40:47 +02:00
7c93632605 tests and fix 2025-04-14 16:38:25 +02:00
54def26334 added ClusterFile tests fixed some bugs in ClusterFile
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2025-04-14 15:48:09 +02:00
a59e9656be Making RawSubFile usable from Python (#158)
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- Removed a printout left from debugging
- return also header when reading
- added read_n 
- check for error in ifstream
2025-04-11 16:54:21 +02:00
3f753ec900 Some fixes (need more testing later) (#159)
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- Change of pointer size caused out of bounds write
- UB to write to memory reserved by std::vector::reserver --> allocate
dummy clusters by using resize instead
   - but now we can't reserve like we want to, need a fix. 
- format string not working, fixed
2025-04-11 14:43:12 +02:00
15e52565a9 dont convert to byte 2025-04-11 14:35:20 +02:00
e71569b15e resize before read 2025-04-11 13:38:33 +02:00
92f5421481 np test 2025-04-10 16:58:47 +02:00
113f34cc98 fixes 2025-04-10 16:50:04 +02:00
53a90e197e added additional tests
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2025-04-10 10:41:58 +02:00
6e4db45b57 Activated RH8 build on PSI gitea (#155)
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2025-04-10 10:17:16 +02:00
76f050f69f solved merge conflict
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2025-04-10 09:21:50 +02:00
a13affa4d3 changed template arguments added tests 2025-04-10 09:13:58 +02:00
8b0eee1e66 fixed warnings and removed ambiguous read_frame (#154)
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Fixed warnings:
- unused variable in Interpolator
- Narrowing conversions uint64-->int64

Removed an ambiguous function from JungfrauDataFile
- NDarry read_frame(header&=nullptr)
- Frame read_frame()

NDArray and NDView size() is now signed
2025-04-09 17:54:55 +02:00
894065fe9c added utility plot
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2025-04-09 12:19:14 +02:00
f16273a566 Adding support for Jungfrau .dat files (#152)
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closes #150 

**Not addressed in this PR:** 

- pixels_per_frame, bytes_per_frame and tell should be made cost in
FileInterface
2025-04-08 15:31:04 +02:00
20d1d02fda function signature for push back (#153)
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This example now works:
```python
cl = Cluster3x3i(5,7,np.array((1,2,3,4,5,6,7,8,9), dtype = np.int32))
cv = ClusterVector_Cluster3x3i()
cv.push_back(cl)
```
2025-04-07 17:18:17 +02:00
10e4e10431 function signature for push back 2025-04-07 15:33:37 +02:00
017960d963 added push_back property
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2025-04-07 13:41:14 +02:00
a12e43b176 underlying container of ClusterVcetor is now a std::vector 2025-04-07 12:27:44 +02:00
9de84a7f87 added some python tests
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2025-04-04 17:19:15 +02:00
885309d97c fix build
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2025-04-03 17:14:28 +02:00
e24ed68416 fixed include 2025-04-03 16:50:02 +02:00
248d25486f refactored python files 2025-04-03 16:38:12 +02:00
7db1ae4d94 Dev/gitea ci (#151)
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Build and test on internal PSI gitea
2025-04-03 13:18:55 +02:00
a24bbd9cf9 started to do python refactoring
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2025-04-03 11:56:25 +02:00
d7ef9bb1d8 missed some refactoring of datatypes
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2025-04-03 11:36:15 +02:00
de9fc16e89 generalize is_selected 2025-04-03 09:28:54 +02:00
85a6b5b95e suppress compiler warnings 2025-04-03 09:28:02 +02:00
50eeba4005 restructured GainMap to have own class and generalized
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2025-04-02 17:58:26 +02:00
98d2d6098e refactored other cpp files 2025-04-02 16:00:46 +02:00
61af1105a1 templated eta and updated test 2025-04-02 14:42:38 +02:00
240960d3e7 generalized FindCluster to read in general cluster sizes - assuming that finding cluster center is equal for all clusters 2025-04-02 12:05:16 +02:00
04728929cb implemented sum_2x2() for general clusters, only one calculate_eta2 function for all clusters
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2025-04-01 18:29:08 +02:00
3083d51699 merge conflict 2025-04-01 17:50:11 +02:00
4240942cec solved merge conflict 2025-04-01 17:48:48 +02:00
745d09fbe9 changed push_back to take Cluster as input argument 2025-04-01 15:30:10 +02:00
8cad7a50a6 fixed py
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2025-04-01 15:00:03 +02:00
9d8e803474 Merge branch 'main' into developer 2025-04-01 14:35:27 +02:00
a42c0d645b added roi, noise and gain (#143)
- Moved definitions of Cluster_2x2 and Cluster_3x3 to it's own file
- Added optional members for ROI, noise_map and gain_map in ClusterFile

**API:**

After creating the ClusterFile the user can set one or all of: roi,
noise_map, gain_map

```python
f = ClusterFile(fname)
f.set_roi(roi) #aare.ROI
f.set_noise_map(noise_map) #numpy array
f.set_gain_map(gain_map) #numpy array
```

**When reading clusters they are evaluated in the order:**

1. If ROI is enabled check that the cluster is within the ROI
1. If noise_map is enabled check that the cluster meets one of the
conditions
    - Center pixel above noise
    - Highest 2x2 sum above 2x noise
    - 3x3 sum above 3x noise
1. If gain_map is set apply the gain map before returning the clusters
(not used for noise cut)

**Open questions:**
1. Check for out of bounds access in noise and gain map?

closes #139 
closes #135 
closes #90
2025-04-01 14:31:25 +02:00
508adf5016 refactoring of remaining files
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2025-04-01 10:01:23 +02:00
e038bd1646 refactored and put calculate_eta function in seperate file 2025-03-31 17:35:39 +02:00
7e5f91c6ec added benchmark to time generalize calculate_eta - twice as long so will keep specific version for 2x2 and 3x3 clusters 2025-03-31 17:04:57 +02:00
ed9ef7c600 removed analyze_cluster function as not used anymore
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2025-03-31 12:26:29 +02:00
57bb6c71ae ClusterSize should be larger than 1
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2025-03-28 14:49:55 +01:00
f8f98b6ec3 Generalized calculate_eta2 function to work with general cluster types 2025-03-28 14:29:20 +01:00
0876b6891a cpp Cluster and ClusterVector and ClusterFile are templated now, they support generic cluster types 2025-03-25 21:42:50 +01:00
6ad76f63c1 Fixed reading clusters with ROI (#142)
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Fixed incorrect reading of clusters with ROI


closes #141
2025-03-24 14:28:10 +01:00
6e7e81b36b complete mess but need to install RedHat 9 2025-03-21 16:32:54 +01:00
b529b6d33b Merge branch 'main' into developer
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2025-03-19 19:29:15 +01:00
602b04e49f bumped version number
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2025-03-18 17:47:05 +01:00
11cd2ec654 Interpolate (#137)
- added eta based interpolation
2025-03-18 17:45:38 +01:00
e59a361b51 removed workspace
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2025-03-17 15:23:55 +01:00
1ad362ccfc added action for gitea (#136)
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2025-03-17 15:21:59 +01:00
332bdeb02b modified algo 2025-03-14 11:07:09 +01:00
3a987319d4 WIP 2025-03-05 21:51:23 +01:00
5614cb4673 WIP 2025-03-05 17:40:08 +01:00
8ae6bb76f8 removed warnings added clang-tidy 2025-02-21 11:18:39 +01:00
1d2c38c1d4 Enable VarClusterFinder (#134)
Co-authored-by: xiangyu.xie <xiangyu.xie@psi.ch>
2025-02-19 16:11:24 +01:00
fc1c9f35d6 Merge branch 'main' into developer 2025-02-18 21:52:20 +01:00
5d2f25a6e9 bumped version number 2025-02-18 21:44:03 +01:00
6a83988485 Added chi2 to fit results (#131)
- fit_gaus and fit_pol1 now return a dict
- calculate chi2 after fit
- cleaned up code
2025-02-18 21:13:27 +01:00
8abfc68138 fixed linking to lmfit (#130)
using "$<BUILD_INTERFACE:lmfit>" to exclude the target lmfit from being
included in the installed aare target
2025-02-18 15:54:52 +01:00
8ff6f9f506 fixed linking to lmfit 2025-02-18 15:49:46 +01:00
dcb9a98faa bumped version 2025-02-12 16:49:30 +01:00
7309cff47c Added fitting with lmfit (#128)
- added stand alone fitting using:
https://jugit.fz-juelich.de/mlz/lmfit.git
- fit_gaus, fit_pol1 with and without errors
- multi threaded fitting

---------

Co-authored-by: JulianHeymes <julian.heymes@psi.ch>
2025-02-12 16:35:48 +01:00
c0c5e07ad8 added decoding of adc_sar_04 (#127) 2025-02-12 16:17:32 +01:00
2faa317bdf removed debug line 2025-02-12 10:59:18 +01:00
f7031d7f87 Update CMakeLists.txt
Removed flto=auto which caused issues with gcc 8.5
2025-02-12 10:52:55 +01:00
d86cb533c8 Fix minor warnings (#126)
- Unused variables
- signed vs. unsigned
- added -flto=auto
2025-02-11 11:48:01 +01:00
4c750cc3be Fixing ROI read of RawFile (#125)
- Bugfixes
- New abstraction for detector geometry
- Tests for updating geo with ROI
2025-02-11 11:08:22 +01:00
e96fe31f11 removed main and token 2025-02-05 15:55:55 +01:00
cd5a738696 disable upload on dev 2025-02-05 15:44:45 +01:00
1ba43b69d3 fix 2025-02-05 15:16:16 +01:00
fff536782b disable auto upload 2025-02-05 15:13:53 +01:00
5a3ca2ae2d Decoding for ADC SAR 05 64->16bit (#124)
Co-authored-by: Patrick <patrick.sieberer@psi.ch>
2025-02-05 14:40:26 +01:00
078e5d81ec docs 2025-01-15 16:40:34 +01:00
6cde968c60 summing 2x2 2025-01-15 16:12:06 +01:00
f6d736facd docs for ClusterFile 2025-01-15 09:15:41 +01:00
e1cc774d6c Multi threaded cluster finder (#117) 2025-01-14 21:36:25 +01:00
d0f435a7ab bounds checking on subfiles 2025-01-10 19:02:50 +01:00
7ce02006f2 clear pedestal 2025-01-10 17:26:23 +01:00
7550a2cb97 fixing read bug 2025-01-10 15:33:56 +01:00
caf7b4ecdb added docs for ClusterFinderMT 2025-01-10 10:22:04 +01:00
72d10b7735 Multi threaded cluster finder. (#115)
Added a prototype for the multi threaded cluster finder including python
bindings
2025-01-09 16:55:35 +01:00
cc95561eda MultiThreaded Cluster finder 2025-01-09 16:53:22 +01:00
dc9e10016d WIP 2025-01-08 16:45:24 +01:00
21ce7a3efa bumped version 2025-01-07 16:33:16 +01:00
acdce8454b moved pd to double 2025-01-07 15:01:43 +01:00
d07da42745 bitdepths 2025-01-07 12:27:01 +01:00
16 changed files with 434 additions and 307 deletions

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@ -5,6 +5,8 @@
#include "aare/GainMap.hpp"
#include "aare/NDArray.hpp"
#include "aare/defs.hpp"
#include "aare/logger.hpp"
#include <filesystem>
#include <fstream>
#include <optional>
@ -369,11 +371,15 @@ ClusterFile<ClusterType, Enable>::read_frame_without_cut() {
"Could not read number of clusters");
}
LOG(logDEBUG1) << "Reading " << n_clusters
<< " clusters from frame " << frame_number;
ClusterVector<ClusterType> clusters(n_clusters);
clusters.set_frame_number(frame_number);
clusters.resize(n_clusters);
LOG(logDEBUG1) << "clusters.item_size(): " << clusters.item_size();
if (fread(clusters.data(), clusters.item_size(), n_clusters, fp) !=
static_cast<size_t>(n_clusters)) {
throw std::runtime_error(LOCATION + "Could not read clusters");

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@ -21,7 +21,7 @@ class ClusterFileSink {
void process() {
m_stopped = false;
fmt::print("ClusterFileSink started\n");
LOG(logDEBUG) << "ClusterFileSink started";
while (!m_stop_requested || !m_source->isEmpty()) {
if (ClusterVector<ClusterType> *clusters = m_source->frontPtr();
clusters != nullptr) {
@ -41,13 +41,16 @@ class ClusterFileSink {
std::this_thread::sleep_for(m_default_wait);
}
}
fmt::print("ClusterFileSink stopped\n");
LOG(logDEBUG) << "ClusterFileSink stopped";
m_stopped = true;
}
public:
ClusterFileSink(ClusterFinderMT<ClusterType, uint16_t, double> *source,
const std::filesystem::path &fname) {
LOG(logDEBUG) << "ClusterFileSink: "
<< "source: " << source->sink()
<< ", file: " << fname.string();
m_source = source->sink();
m_thread = std::thread(&ClusterFileSink::process, this);
m_file.open(fname, std::ios::binary);

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@ -38,7 +38,12 @@ class ClusterFinder {
: m_image_size(image_size), m_nSigma(nSigma),
c2(sqrt((ClusterSizeY + 1) / 2 * (ClusterSizeX + 1) / 2)),
c3(sqrt(ClusterSizeX * ClusterSizeY)),
m_pedestal(image_size[0], image_size[1]), m_clusters(capacity) {};
m_pedestal(image_size[0], image_size[1]), m_clusters(capacity) {
LOG(logDEBUG ) << "ClusterFinder: "
<< "image_size: " << image_size[0] << "x" << image_size[1]
<< ", nSigma: " << nSigma
<< ", capacity: " << capacity;
}
void push_pedestal_frame(NDView<FRAME_TYPE, 2> frame) {
m_pedestal.push(frame);

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@ -7,6 +7,7 @@
#include "aare/ClusterFinder.hpp"
#include "aare/NDArray.hpp"
#include "aare/logger.hpp"
#include "aare/ProducerConsumerQueue.hpp"
namespace aare {
@ -123,6 +124,12 @@ class ClusterFinderMT {
size_t capacity = 2000, size_t n_threads = 3)
: m_n_threads(n_threads) {
LOG(logDEBUG1) << "ClusterFinderMT: "
<< "image_size: " << image_size[0] << "x" << image_size[1]
<< ", nSigma: " << nSigma
<< ", capacity: " << capacity
<< ", n_threads: " << n_threads;
for (size_t i = 0; i < n_threads; i++) {
m_cluster_finders.push_back(
std::make_unique<

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@ -37,7 +37,7 @@ enum TLogLevel {
logINFOCYAN,
logINFOMAGENTA,
logINFO,
logDEBUG,
logDEBUG, // constructors, destructors etc. should still give too much output
logDEBUG1,
logDEBUG2,
logDEBUG3,

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@ -1,22 +1,47 @@
from ._aare import ClusterFinder_Cluster3x3i, ClusterFinder_Cluster2x2i, ClusterFinderMT_Cluster3x3i, ClusterFinderMT_Cluster2x2i, ClusterCollector_Cluster3x3i, ClusterCollector_Cluster2x2i
# from ._aare import ClusterFinder_Cluster3x3i, ClusterFinder_Cluster2x2i, ClusterFinderMT_Cluster3x3i, ClusterFinderMT_Cluster2x2i, ClusterCollector_Cluster3x3i, ClusterCollector_Cluster2x2i
from ._aare import ClusterFileSink_Cluster3x3i, ClusterFileSink_Cluster2x2i
# from ._aare import ClusterFileSink_Cluster3x3i, ClusterFileSink_Cluster2x2i
from . import _aare
import numpy as np
_supported_cluster_sizes = [(2,2), (3,3), (5,5), (7,7), (9,9),]
# def _get_class()
def _type_to_char(dtype):
if dtype == np.int32:
return 'i'
elif dtype == np.float32:
return 'f'
elif dtype == np.float64:
return 'd'
else:
raise ValueError(f"Unsupported dtype: {dtype}. Only np.int32, np.float32, and np.float64 are supported.")
def _get_class(name, cluster_size, dtype):
"""
Helper function to get the class based on the name, cluster size, and dtype.
"""
try:
class_name = f"{name}_Cluster{cluster_size[0]}x{cluster_size[1]}{_type_to_char(dtype)}"
cls = getattr(_aare, class_name)
except AttributeError:
raise ValueError(f"Unsupported combination of type and cluster size: {dtype}/{cluster_size} when requesting {class_name}")
return cls
def ClusterFinder(image_size, cluster_size, n_sigma=5, dtype = np.int32, capacity = 1024):
"""
Factory function to create a ClusterFinder object. Provides a cleaner syntax for
the templated ClusterFinder in C++.
"""
if dtype == np.int32 and cluster_size == (3,3):
return ClusterFinder_Cluster3x3i(image_size, n_sigma = n_sigma, capacity=capacity)
elif dtype == np.int32 and cluster_size == (2,2):
return ClusterFinder_Cluster2x2i(image_size, n_sigma = n_sigma, capacity=capacity)
else:
#TODO! add the other formats
raise ValueError(f"Unsupported dtype: {dtype}. Only np.int32 is supported.")
cls = _get_class("ClusterFinder", cluster_size, dtype)
return cls(image_size, n_sigma=n_sigma, capacity=capacity)
def ClusterFinderMT(image_size, cluster_size = (3,3), dtype=np.int32, n_sigma=5, capacity = 1024, n_threads = 3):
@ -25,15 +50,9 @@ def ClusterFinderMT(image_size, cluster_size = (3,3), dtype=np.int32, n_sigma=5,
the templated ClusterFinderMT in C++.
"""
if dtype == np.int32 and cluster_size == (3,3):
return ClusterFinderMT_Cluster3x3i(image_size, n_sigma = n_sigma,
capacity = capacity, n_threads = n_threads)
elif dtype == np.int32 and cluster_size == (2,2):
return ClusterFinderMT_Cluster2x2i(image_size, n_sigma = n_sigma,
capacity = capacity, n_threads = n_threads)
else:
#TODO! add the other formats
raise ValueError(f"Unsupported dtype: {dtype}. Only np.int32 is supported.")
cls = _get_class("ClusterFinderMT", cluster_size, dtype)
return cls(image_size, n_sigma=n_sigma, capacity=capacity, n_threads=n_threads)
def ClusterCollector(clusterfindermt, cluster_size = (3,3), dtype=np.int32):
@ -42,14 +61,8 @@ def ClusterCollector(clusterfindermt, cluster_size = (3,3), dtype=np.int32):
the templated ClusterCollector in C++.
"""
if dtype == np.int32 and cluster_size == (3,3):
return ClusterCollector_Cluster3x3i(clusterfindermt)
elif dtype == np.int32 and cluster_size == (2,2):
return ClusterCollector_Cluster2x2i(clusterfindermt)
else:
#TODO! add the other formats
raise ValueError(f"Unsupported dtype: {dtype}. Only np.int32 is supported.")
cls = _get_class("ClusterCollector", cluster_size, dtype)
return cls(clusterfindermt)
def ClusterFileSink(clusterfindermt, cluster_file, dtype=np.int32):
"""
@ -57,11 +70,15 @@ def ClusterFileSink(clusterfindermt, cluster_file, dtype=np.int32):
the templated ClusterCollector in C++.
"""
if dtype == np.int32 and clusterfindermt.cluster_size == (3,3):
return ClusterFileSink_Cluster3x3i(clusterfindermt, cluster_file)
elif dtype == np.int32 and clusterfindermt.cluster_size == (2,2):
return ClusterFileSink_Cluster2x2i(clusterfindermt, cluster_file)
else:
#TODO! add the other formats
raise ValueError(f"Unsupported dtype: {dtype}. Only np.int32 is supported.")
cls = _get_class("ClusterFileSink", clusterfindermt.cluster_size, dtype)
return cls(clusterfindermt, cluster_file)
def ClusterFile(fname, cluster_size=(3,3), dtype=np.int32):
"""
Factory function to create a ClusterFile object. Provides a cleaner syntax for
the templated ClusterFile in C++.
"""
cls = _get_class("ClusterFile", cluster_size, dtype)
return cls(fname)

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@ -5,13 +5,12 @@ from . import _aare
from ._aare import File, RawMasterFile, RawSubFile, JungfrauDataFile
from ._aare import Pedestal_d, Pedestal_f, ClusterFinder_Cluster3x3i, VarClusterFinder
from ._aare import DetectorType
from ._aare import ClusterFile_Cluster3x3i as ClusterFile
from ._aare import hitmap
from ._aare import ROI
# from ._aare import ClusterFinderMT, ClusterCollector, ClusterFileSink, ClusterVector_i
from .ClusterFinder import ClusterFinder, ClusterCollector, ClusterFinderMT, ClusterFileSink
from .ClusterFinder import ClusterFinder, ClusterCollector, ClusterFinderMT, ClusterFileSink, ClusterFile
from .ClusterVector import ClusterVector

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@ -0,0 +1,64 @@
#include "aare/Cluster.hpp"
#include <cstdint>
#include <fmt/format.h>
#include <filesystem>
#include <pybind11/pybind11.h>
#include <pybind11/numpy.h>
#include <pybind11/stl.h>
#include <pybind11/stl_bind.h>
namespace py = pybind11;
using pd_type = double;
using namespace aare;
#pragma GCC diagnostic push
#pragma GCC diagnostic ignored "-Wunused-parameter"
template <typename Type, uint8_t ClusterSizeX, uint8_t ClusterSizeY,
typename CoordType>
void define_Cluster(py::module &m, const std::string &typestr) {
auto class_name = fmt::format("Cluster{}", typestr);
py::class_<Cluster<Type, ClusterSizeX, ClusterSizeY, CoordType>>(
m, class_name.c_str(), py::buffer_protocol())
.def(py::init([](uint8_t x, uint8_t y, py::array_t<Type> data) {
py::buffer_info buf_info = data.request();
Cluster<Type, ClusterSizeX, ClusterSizeY, CoordType> cluster;
cluster.x = x;
cluster.y = y;
auto r = data.template unchecked<1>(); // no bounds checks
for (py::ssize_t i = 0; i < data.size(); ++i) {
cluster.data[i] = r(i);
}
return cluster;
}));
/*
//TODO! Review if to keep or not
.def_property(
"data",
[](ClusterType &c) -> py::array {
return py::array(py::buffer_info(
c.data, sizeof(Type),
py::format_descriptor<Type>::format(), // Type
// format
1, // Number of dimensions
{static_cast<ssize_t>(ClusterSizeX *
ClusterSizeY)}, // Shape (flattened)
{sizeof(Type)} // Stride (step size between elements)
));
},
[](ClusterType &c, py::array_t<Type> arr) {
py::buffer_info buf_info = arr.request();
Type *ptr = static_cast<Type *>(buf_info.ptr);
std::copy(ptr, ptr + ClusterSizeX * ClusterSizeY,
c.data); // TODO dont iterate over centers!!!
});
*/
}
#pragma GCC diagnostic pop

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@ -0,0 +1,46 @@
#include "aare/ClusterCollector.hpp"
#include "aare/ClusterFileSink.hpp"
#include "aare/ClusterFinder.hpp"
#include "aare/ClusterFinderMT.hpp"
#include "aare/ClusterVector.hpp"
#include "aare/NDView.hpp"
#include "aare/Pedestal.hpp"
#include "np_helper.hpp"
#include <cstdint>
#include <filesystem>
#include <pybind11/pybind11.h>
#include <pybind11/stl.h>
#include <pybind11/stl_bind.h>
namespace py = pybind11;
using pd_type = double;
using namespace aare;
#pragma GCC diagnostic push
#pragma GCC diagnostic ignored "-Wunused-parameter"
template <typename T, uint8_t ClusterSizeX, uint8_t ClusterSizeY,
typename CoordType = uint16_t>
void define_ClusterCollector(py::module &m,
const std::string &typestr) {
auto class_name = fmt::format("ClusterCollector_{}", typestr);
using ClusterType = Cluster<T, ClusterSizeX, ClusterSizeY, CoordType>;
py::class_<ClusterCollector<ClusterType>>(m, class_name.c_str())
.def(py::init<ClusterFinderMT<ClusterType, uint16_t, double> *>())
.def("stop", &ClusterCollector<ClusterType>::stop)
.def(
"steal_clusters",
[](ClusterCollector<ClusterType> &self) {
auto v = new std::vector<ClusterVector<ClusterType>>(
self.steal_clusters());
return v; // TODO change!!!
},
py::return_value_policy::take_ownership);
}
#pragma GCC diagnostic pop

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@ -21,7 +21,7 @@ using namespace ::aare;
template <typename Type, uint8_t CoordSizeX, uint8_t CoordSizeY,
typename CoordType = uint16_t>
void define_cluster_file_io_bindings(py::module &m,
void define_ClusterFile(py::module &m,
const std::string &typestr) {
using ClusterType = Cluster<Type, CoordSizeX, CoordSizeY, CoordType>;

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@ -0,0 +1,44 @@
#include "aare/ClusterCollector.hpp"
#include "aare/ClusterFileSink.hpp"
#include "aare/ClusterFinder.hpp"
#include "aare/ClusterFinderMT.hpp"
#include "aare/ClusterVector.hpp"
#include "aare/NDView.hpp"
#include "aare/Pedestal.hpp"
#include "np_helper.hpp"
#include <cstdint>
#include <filesystem>
#include <pybind11/pybind11.h>
#include <pybind11/stl.h>
#include <pybind11/stl_bind.h>
namespace py = pybind11;
using pd_type = double;
using namespace aare;
#pragma GCC diagnostic push
#pragma GCC diagnostic ignored "-Wunused-parameter"
template <typename T, uint8_t ClusterSizeX, uint8_t ClusterSizeY,
typename CoordType = uint16_t>
void define_ClusterFileSink(py::module &m,
const std::string &typestr) {
auto class_name = fmt::format("ClusterFileSink_{}", typestr);
using ClusterType = Cluster<T, ClusterSizeX, ClusterSizeY, CoordType>;
py::class_<ClusterFileSink<ClusterType>>(m, class_name.c_str())
.def(py::init<ClusterFinderMT<ClusterType, uint16_t, double> *,
const std::filesystem::path &>())
.def("stop", &ClusterFileSink<ClusterType>::stop);
}
#pragma GCC diagnostic pop

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@ -0,0 +1,77 @@
#include "aare/ClusterCollector.hpp"
#include "aare/ClusterFileSink.hpp"
#include "aare/ClusterFinder.hpp"
#include "aare/ClusterFinderMT.hpp"
#include "aare/ClusterVector.hpp"
#include "aare/NDView.hpp"
#include "aare/Pedestal.hpp"
#include "np_helper.hpp"
#include <cstdint>
#include <filesystem>
#include <pybind11/pybind11.h>
#include <pybind11/stl.h>
#include <pybind11/stl_bind.h>
namespace py = pybind11;
using pd_type = double;
using namespace aare;
#pragma GCC diagnostic push
#pragma GCC diagnostic ignored "-Wunused-parameter"
template <typename T, uint8_t ClusterSizeX, uint8_t ClusterSizeY,
typename CoordType = uint16_t>
void define_ClusterFinder(py::module &m, const std::string &typestr) {
auto class_name = fmt::format("ClusterFinder_{}", typestr);
using ClusterType = Cluster<T, ClusterSizeX, ClusterSizeY, CoordType>;
py::class_<ClusterFinder<ClusterType, uint16_t, pd_type>>(
m, class_name.c_str())
.def(py::init<Shape<2>, pd_type, size_t>(), py::arg("image_size"),
py::arg("n_sigma") = 5.0, py::arg("capacity") = 1'000'000)
.def("push_pedestal_frame",
[](ClusterFinder<ClusterType, uint16_t, pd_type> &self,
py::array_t<uint16_t> frame) {
auto view = make_view_2d(frame);
self.push_pedestal_frame(view);
})
.def("clear_pedestal",
&ClusterFinder<ClusterType, uint16_t, pd_type>::clear_pedestal)
.def_property_readonly(
"pedestal",
[](ClusterFinder<ClusterType, uint16_t, pd_type> &self) {
auto pd = new NDArray<pd_type, 2>{};
*pd = self.pedestal();
return return_image_data(pd);
})
.def_property_readonly(
"noise",
[](ClusterFinder<ClusterType, uint16_t, pd_type> &self) {
auto arr = new NDArray<pd_type, 2>{};
*arr = self.noise();
return return_image_data(arr);
})
.def(
"steal_clusters",
[](ClusterFinder<ClusterType, uint16_t, pd_type> &self,
bool realloc_same_capacity) {
ClusterVector<ClusterType> clusters =
self.steal_clusters(realloc_same_capacity);
return clusters;
},
py::arg("realloc_same_capacity") = false)
.def(
"find_clusters",
[](ClusterFinder<ClusterType, uint16_t, pd_type> &self,
py::array_t<uint16_t> frame, uint64_t frame_number) {
auto view = make_view_2d(frame);
self.find_clusters(view, frame_number);
return;
},
py::arg(), py::arg("frame_number") = 0);
}
#pragma GCC diagnostic pop

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@ -0,0 +1,81 @@
#include "aare/ClusterCollector.hpp"
#include "aare/ClusterFileSink.hpp"
#include "aare/ClusterFinder.hpp"
#include "aare/ClusterFinderMT.hpp"
#include "aare/ClusterVector.hpp"
#include "aare/NDView.hpp"
#include "aare/Pedestal.hpp"
#include "np_helper.hpp"
#include <cstdint>
#include <filesystem>
#include <pybind11/pybind11.h>
#include <pybind11/stl.h>
#include <pybind11/stl_bind.h>
namespace py = pybind11;
using pd_type = double;
using namespace aare;
#pragma GCC diagnostic push
#pragma GCC diagnostic ignored "-Wunused-parameter"
template <typename T, uint8_t ClusterSizeX, uint8_t ClusterSizeY,
typename CoordType = uint16_t>
void define_ClusterFinderMT(py::module &m,
const std::string &typestr) {
auto class_name = fmt::format("ClusterFinderMT_{}", typestr);
using ClusterType = Cluster<T, ClusterSizeX, ClusterSizeY, CoordType>;
py::class_<ClusterFinderMT<ClusterType, uint16_t, pd_type>>(
m, class_name.c_str())
.def(py::init<Shape<2>, pd_type, size_t, size_t>(),
py::arg("image_size"), py::arg("n_sigma") = 5.0,
py::arg("capacity") = 2048, py::arg("n_threads") = 3)
.def("push_pedestal_frame",
[](ClusterFinderMT<ClusterType, uint16_t, pd_type> &self,
py::array_t<uint16_t> frame) {
auto view = make_view_2d(frame);
self.push_pedestal_frame(view);
})
.def(
"find_clusters",
[](ClusterFinderMT<ClusterType, uint16_t, pd_type> &self,
py::array_t<uint16_t> frame, uint64_t frame_number) {
auto view = make_view_2d(frame);
self.find_clusters(view, frame_number);
return;
},
py::arg(), py::arg("frame_number") = 0)
.def_property_readonly("cluster_size", [](ClusterFinderMT<ClusterType, uint16_t, pd_type> &self){
return py::make_tuple(ClusterSizeX, ClusterSizeY);
})
.def("clear_pedestal",
&ClusterFinderMT<ClusterType, uint16_t, pd_type>::clear_pedestal)
.def("sync", &ClusterFinderMT<ClusterType, uint16_t, pd_type>::sync)
.def("stop", &ClusterFinderMT<ClusterType, uint16_t, pd_type>::stop)
.def("start", &ClusterFinderMT<ClusterType, uint16_t, pd_type>::start)
.def(
"pedestal",
[](ClusterFinderMT<ClusterType, uint16_t, pd_type> &self,
size_t thread_index) {
auto pd = new NDArray<pd_type, 2>{};
*pd = self.pedestal(thread_index);
return return_image_data(pd);
},
py::arg("thread_index") = 0)
.def(
"noise",
[](ClusterFinderMT<ClusterType, uint16_t, pd_type> &self,
size_t thread_index) {
auto arr = new NDArray<pd_type, 2>{};
*arr = self.noise(thread_index);
return return_image_data(arr);
},
py::arg("thread_index") = 0);
}
#pragma GCC diagnostic pop

View File

@ -101,4 +101,6 @@ void define_ClusterVector(py::module &m, const std::string &typestr) {
return hitmap;
});
}
}
#pragma GCC diagnostic pop

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@ -1,211 +0,0 @@
#include "aare/ClusterCollector.hpp"
#include "aare/ClusterFileSink.hpp"
#include "aare/ClusterFinder.hpp"
#include "aare/ClusterFinderMT.hpp"
#include "aare/ClusterVector.hpp"
#include "aare/NDView.hpp"
#include "aare/Pedestal.hpp"
#include "np_helper.hpp"
#include <cstdint>
#include <filesystem>
#include <pybind11/pybind11.h>
#include <pybind11/stl.h>
#include <pybind11/stl_bind.h>
namespace py = pybind11;
using pd_type = double;
using namespace aare;
#pragma GCC diagnostic push
#pragma GCC diagnostic ignored "-Wunused-parameter"
template <typename Type, uint8_t ClusterSizeX, uint8_t ClusterSizeY,
typename CoordType>
void define_cluster(py::module &m, const std::string &typestr) {
auto class_name = fmt::format("Cluster{}", typestr);
py::class_<Cluster<Type, ClusterSizeX, ClusterSizeY, CoordType>>(
m, class_name.c_str(), py::buffer_protocol())
.def(py::init([](uint8_t x, uint8_t y, py::array_t<Type> data) {
py::buffer_info buf_info = data.request();
Cluster<Type, ClusterSizeX, ClusterSizeY, CoordType> cluster;
cluster.x = x;
cluster.y = y;
auto r = data.template unchecked<1>(); // no bounds checks
for (py::ssize_t i = 0; i < data.size(); ++i) {
cluster.data[i] = r(i);
}
return cluster;
}));
/*
.def_property(
"data",
[](ClusterType &c) -> py::array {
return py::array(py::buffer_info(
c.data, sizeof(Type),
py::format_descriptor<Type>::format(), // Type
// format
1, // Number of dimensions
{static_cast<ssize_t>(ClusterSizeX *
ClusterSizeY)}, // Shape (flattened)
{sizeof(Type)} // Stride (step size between elements)
));
},
[](ClusterType &c, py::array_t<Type> arr) {
py::buffer_info buf_info = arr.request();
Type *ptr = static_cast<Type *>(buf_info.ptr);
std::copy(ptr, ptr + ClusterSizeX * ClusterSizeY,
c.data); // TODO dont iterate over centers!!!
});
*/
}
template <typename T, uint8_t ClusterSizeX, uint8_t ClusterSizeY,
typename CoordType = uint16_t>
void define_cluster_finder_mt_bindings(py::module &m,
const std::string &typestr) {
auto class_name = fmt::format("ClusterFinderMT_{}", typestr);
using ClusterType = Cluster<T, ClusterSizeX, ClusterSizeY, CoordType>;
py::class_<ClusterFinderMT<ClusterType, uint16_t, pd_type>>(
m, class_name.c_str())
.def(py::init<Shape<2>, pd_type, size_t, size_t>(),
py::arg("image_size"), py::arg("n_sigma") = 5.0,
py::arg("capacity") = 2048, py::arg("n_threads") = 3)
.def("push_pedestal_frame",
[](ClusterFinderMT<ClusterType, uint16_t, pd_type> &self,
py::array_t<uint16_t> frame) {
auto view = make_view_2d(frame);
self.push_pedestal_frame(view);
})
.def(
"find_clusters",
[](ClusterFinderMT<ClusterType, uint16_t, pd_type> &self,
py::array_t<uint16_t> frame, uint64_t frame_number) {
auto view = make_view_2d(frame);
self.find_clusters(view, frame_number);
return;
},
py::arg(), py::arg("frame_number") = 0)
.def_property_readonly("cluster_size", [](ClusterFinderMT<ClusterType, uint16_t, pd_type> &self){
return py::make_tuple(ClusterSizeX, ClusterSizeY);
})
.def("clear_pedestal",
&ClusterFinderMT<ClusterType, uint16_t, pd_type>::clear_pedestal)
.def("sync", &ClusterFinderMT<ClusterType, uint16_t, pd_type>::sync)
.def("stop", &ClusterFinderMT<ClusterType, uint16_t, pd_type>::stop)
.def("start", &ClusterFinderMT<ClusterType, uint16_t, pd_type>::start)
.def(
"pedestal",
[](ClusterFinderMT<ClusterType, uint16_t, pd_type> &self,
size_t thread_index) {
auto pd = new NDArray<pd_type, 2>{};
*pd = self.pedestal(thread_index);
return return_image_data(pd);
},
py::arg("thread_index") = 0)
.def(
"noise",
[](ClusterFinderMT<ClusterType, uint16_t, pd_type> &self,
size_t thread_index) {
auto arr = new NDArray<pd_type, 2>{};
*arr = self.noise(thread_index);
return return_image_data(arr);
},
py::arg("thread_index") = 0);
}
template <typename T, uint8_t ClusterSizeX, uint8_t ClusterSizeY,
typename CoordType = uint16_t>
void define_cluster_collector_bindings(py::module &m,
const std::string &typestr) {
auto class_name = fmt::format("ClusterCollector_{}", typestr);
using ClusterType = Cluster<T, ClusterSizeX, ClusterSizeY, CoordType>;
py::class_<ClusterCollector<ClusterType>>(m, class_name.c_str())
.def(py::init<ClusterFinderMT<ClusterType, uint16_t, double> *>())
.def("stop", &ClusterCollector<ClusterType>::stop)
.def(
"steal_clusters",
[](ClusterCollector<ClusterType> &self) {
auto v = new std::vector<ClusterVector<ClusterType>>(
self.steal_clusters());
return v; // TODO change!!!
},
py::return_value_policy::take_ownership);
}
template <typename T, uint8_t ClusterSizeX, uint8_t ClusterSizeY,
typename CoordType = uint16_t>
void define_cluster_file_sink_bindings(py::module &m,
const std::string &typestr) {
auto class_name = fmt::format("ClusterFileSink_{}", typestr);
using ClusterType = Cluster<T, ClusterSizeX, ClusterSizeY, CoordType>;
py::class_<ClusterFileSink<ClusterType>>(m, class_name.c_str())
.def(py::init<ClusterFinderMT<ClusterType, uint16_t, double> *,
const std::filesystem::path &>())
.def("stop", &ClusterFileSink<ClusterType>::stop);
}
template <typename T, uint8_t ClusterSizeX, uint8_t ClusterSizeY,
typename CoordType = uint16_t>
void define_cluster_finder_bindings(py::module &m, const std::string &typestr) {
auto class_name = fmt::format("ClusterFinder_{}", typestr);
using ClusterType = Cluster<T, ClusterSizeX, ClusterSizeY, CoordType>;
py::class_<ClusterFinder<ClusterType, uint16_t, pd_type>>(
m, class_name.c_str())
.def(py::init<Shape<2>, pd_type, size_t>(), py::arg("image_size"),
py::arg("n_sigma") = 5.0, py::arg("capacity") = 1'000'000)
.def("push_pedestal_frame",
[](ClusterFinder<ClusterType, uint16_t, pd_type> &self,
py::array_t<uint16_t> frame) {
auto view = make_view_2d(frame);
self.push_pedestal_frame(view);
})
.def("clear_pedestal",
&ClusterFinder<ClusterType, uint16_t, pd_type>::clear_pedestal)
.def_property_readonly(
"pedestal",
[](ClusterFinder<ClusterType, uint16_t, pd_type> &self) {
auto pd = new NDArray<pd_type, 2>{};
*pd = self.pedestal();
return return_image_data(pd);
})
.def_property_readonly(
"noise",
[](ClusterFinder<ClusterType, uint16_t, pd_type> &self) {
auto arr = new NDArray<pd_type, 2>{};
*arr = self.noise();
return return_image_data(arr);
})
.def(
"steal_clusters",
[](ClusterFinder<ClusterType, uint16_t, pd_type> &self,
bool realloc_same_capacity) {
ClusterVector<ClusterType> clusters =
self.steal_clusters(realloc_same_capacity);
return clusters;
},
py::arg("realloc_same_capacity") = false)
.def(
"find_clusters",
[](ClusterFinder<ClusterType, uint16_t, pd_type> &self,
py::array_t<uint16_t> frame, uint64_t frame_number) {
auto view = make_view_2d(frame);
self.find_clusters(view, frame_number);
return;
},
py::arg(), py::arg("frame_number") = 0);
}
#pragma GCC diagnostic pop

View File

@ -1,11 +1,15 @@
// Files with bindings to the different classes
//New style file naming
#include "bind_Cluster.hpp"
#include "bind_ClusterCollector.hpp"
#include "bind_ClusterFinder.hpp"
#include "bind_ClusterFinderMT.hpp"
#include "bind_ClusterFile.hpp"
#include "bind_ClusterFileSink.hpp"
#include "bind_ClusterVector.hpp"
//TODO! migrate the other names
#include "cluster.hpp"
#include "cluster_file.hpp"
#include "ctb_raw_file.hpp"
#include "file.hpp"
#include "fit.hpp"
@ -24,6 +28,25 @@
namespace py = pybind11;
/* MACRO that defines Cluster bindings for a specific size and type
T - Storage type of the cluster data (int, float, double)
N - Number of rows in the cluster
M - Number of columns in the cluster
U - Type of the pixel data (e.g., uint16_t)
TYPE_CODE - A character representing the type code (e.g., 'i' for int, 'd' for double, 'f' for float)
*/
#define DEFINE_CLUSTER_BINDINGS(T, N, M, U, TYPE_CODE) \
define_ClusterFile<T, N, M, U>(m, "Cluster" #N "x" #M #TYPE_CODE); \
define_ClusterVector<T, N, M, U>(m, "Cluster" #N "x" #M #TYPE_CODE); \
define_ClusterFinder<T, N, M, U>(m, "Cluster" #N "x" #M #TYPE_CODE); \
define_ClusterFinderMT<T, N, M, U>(m, "Cluster" #N "x" #M #TYPE_CODE); \
define_ClusterFileSink<T, N, M, U>(m, "Cluster" #N "x" #M #TYPE_CODE); \
define_ClusterCollector<T, N, M, U>(m, "Cluster" #N "x" #M #TYPE_CODE); \
define_Cluster<T, N, M, U>(m, #N "x" #M #TYPE_CODE); \
register_calculate_eta<T, N, M, U>(m);
PYBIND11_MODULE(_aare, m) {
define_file_io_bindings(m);
define_raw_file_io_bindings(m);
@ -38,59 +61,23 @@ PYBIND11_MODULE(_aare, m) {
define_interpolation_bindings(m);
define_jungfrau_data_file_io_bindings(m);
define_cluster_file_io_bindings<int, 3, 3, uint16_t>(m, "Cluster3x3i");
define_cluster_file_io_bindings<double, 3, 3, uint16_t>(m, "Cluster3x3d");
define_cluster_file_io_bindings<float, 3, 3, uint16_t>(m, "Cluster3x3f");
define_cluster_file_io_bindings<int, 2, 2, uint16_t>(m, "Cluster2x2i");
define_cluster_file_io_bindings<float, 2, 2, uint16_t>(m, "Cluster2x2f");
define_cluster_file_io_bindings<double, 2, 2, uint16_t>(m, "Cluster2x2d");
DEFINE_CLUSTER_BINDINGS(int, 3, 3, uint16_t, i);
DEFINE_CLUSTER_BINDINGS(double, 3, 3, uint16_t, d);
DEFINE_CLUSTER_BINDINGS(float, 3, 3, uint16_t, f);
define_ClusterVector<int, 3, 3, uint16_t>(m, "Cluster3x3i");
define_ClusterVector<double, 3, 3, uint16_t>(m, "Cluster3x3d");
define_ClusterVector<float, 3, 3, uint16_t>(m, "Cluster3x3f");
define_ClusterVector<int, 2, 2, uint16_t>(m, "Cluster2x2i");
define_ClusterVector<double, 2, 2, uint16_t>(m, "Cluster2x2d");
define_ClusterVector<float, 2, 2, uint16_t>(m, "Cluster2x2f");
DEFINE_CLUSTER_BINDINGS(int, 2, 2, uint16_t, i);
DEFINE_CLUSTER_BINDINGS(double, 2, 2, uint16_t, d);
DEFINE_CLUSTER_BINDINGS(float, 2, 2, uint16_t, f);
define_cluster_finder_bindings<int, 3, 3, uint16_t>(m, "Cluster3x3i");
define_cluster_finder_bindings<double, 3, 3, uint16_t>(m, "Cluster3x3d");
define_cluster_finder_bindings<float, 3, 3, uint16_t>(m, "Cluster3x3f");
define_cluster_finder_bindings<int, 2, 2, uint16_t>(m, "Cluster2x2i");
define_cluster_finder_bindings<double, 2, 2, uint16_t>(m, "Cluster2x2d");
define_cluster_finder_bindings<float, 2, 2, uint16_t>(m, "Cluster2x2f");
DEFINE_CLUSTER_BINDINGS(int, 5, 5, uint16_t, i);
DEFINE_CLUSTER_BINDINGS(double, 5, 5, uint16_t, d);
DEFINE_CLUSTER_BINDINGS(float, 5, 5, uint16_t, f);
define_cluster_finder_mt_bindings<int, 3, 3, uint16_t>(m, "Cluster3x3i");
define_cluster_finder_mt_bindings<double, 3, 3, uint16_t>(m, "Cluster3x3d");
define_cluster_finder_mt_bindings<float, 3, 3, uint16_t>(m, "Cluster3x3f");
define_cluster_finder_mt_bindings<int, 2, 2, uint16_t>(m, "Cluster2x2i");
define_cluster_finder_mt_bindings<double, 2, 2, uint16_t>(m, "Cluster2x2d");
define_cluster_finder_mt_bindings<float, 2, 2, uint16_t>(m, "Cluster2x2f");
DEFINE_CLUSTER_BINDINGS(int, 7, 7, uint16_t, i);
DEFINE_CLUSTER_BINDINGS(double, 7, 7, uint16_t, d);
DEFINE_CLUSTER_BINDINGS(float, 7, 7, uint16_t, f);
define_cluster_file_sink_bindings<int, 3, 3, uint16_t>(m, "Cluster3x3i");
define_cluster_file_sink_bindings<double, 3, 3, uint16_t>(m, "Cluster3x3d");
define_cluster_file_sink_bindings<float, 3, 3, uint16_t>(m, "Cluster3x3f");
define_cluster_file_sink_bindings<int, 2, 2, uint16_t>(m, "Cluster2x2i");
define_cluster_file_sink_bindings<double, 2, 2, uint16_t>(m, "Cluster2x2d");
define_cluster_file_sink_bindings<float, 2, 2, uint16_t>(m, "Cluster2x2f");
define_cluster_collector_bindings<int, 3, 3, uint16_t>(m, "Cluster3x3i");
define_cluster_collector_bindings<double, 3, 3, uint16_t>(m, "Cluster3x3f");
define_cluster_collector_bindings<float, 3, 3, uint16_t>(m, "Cluster3x3d");
define_cluster_collector_bindings<int, 2, 2, uint16_t>(m, "Cluster2x2i");
define_cluster_collector_bindings<double, 2, 2, uint16_t>(m, "Cluster2x2f");
define_cluster_collector_bindings<float, 2, 2, uint16_t>(m, "Cluster2x2d");
define_cluster<int, 3, 3, uint16_t>(m, "3x3i");
define_cluster<float, 3, 3, uint16_t>(m, "3x3f");
define_cluster<double, 3, 3, uint16_t>(m, "3x3d");
define_cluster<int, 2, 2, uint16_t>(m, "2x2i");
define_cluster<float, 2, 2, uint16_t>(m, "2x2f");
define_cluster<double, 2, 2, uint16_t>(m, "2x2d");
register_calculate_eta<int, 3, 3, uint16_t>(m);
register_calculate_eta<float, 3, 3, uint16_t>(m);
register_calculate_eta<double, 3, 3, uint16_t>(m);
register_calculate_eta<int, 2, 2, uint16_t>(m);
register_calculate_eta<float, 2, 2, uint16_t>(m);
register_calculate_eta<double, 2, 2, uint16_t>(m);
DEFINE_CLUSTER_BINDINGS(int, 9, 9, uint16_t, i);
DEFINE_CLUSTER_BINDINGS(double, 9, 9, uint16_t, d);
DEFINE_CLUSTER_BINDINGS(float, 9, 9, uint16_t, f);
}