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https://github.com/slsdetectorgroup/aare.git
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Decoding for ADC SAR 05 64->16bit (#124)
Co-authored-by: Patrick <patrick.sieberer@psi.ch>
This commit is contained in:
@@ -2,6 +2,10 @@ import numpy as np
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from . import _aare
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class AdcSar05Transform64to16:
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def __call__(self, data):
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return _aare.adc_sar_05_decode64to16(data)
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class Moench05Transform:
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#Could be moved to C++ without changing the interface
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def __init__(self):
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@@ -45,4 +49,5 @@ class Matterhorn02Transform:
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moench05 = Moench05Transform()
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moench05_1g = Moench05Transform1g()
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moench05_old = Moench05TransformOld()
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matterhorn02 = Matterhorn02Transform()
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matterhorn02 = Matterhorn02Transform()
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adc_sar_05_64to16 = AdcSar05Transform64to16()
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@@ -7,6 +7,7 @@
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#include "aare/RawSubFile.hpp"
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#include "aare/defs.hpp"
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#include "aare/decode.hpp"
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// #include "aare/fClusterFileV2.hpp"
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#include <cstdint>
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@@ -23,6 +24,32 @@ using namespace ::aare;
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void define_ctb_raw_file_io_bindings(py::module &m) {
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m.def("adc_sar_05_decode64to16", [](py::array_t<uint8_t> input) {
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if(input.ndim() != 2){
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throw std::runtime_error("Only 2D arrays are supported at this moment");
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}
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//Create a 2D output array with the same shape as the input
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std::vector<ssize_t> shape{input.shape(0), input.shape(1)/8};
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py::array_t<uint16_t> output(shape);
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//Create a view of the input and output arrays
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NDView<uint64_t, 2> input_view(reinterpret_cast<uint64_t*>(input.mutable_data()), {output.shape(0), output.shape(1)});
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NDView<uint16_t, 2> output_view(output.mutable_data(), {output.shape(0), output.shape(1)});
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adc_sar_05_decode64to16(input_view, output_view);
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// for (size_t i=0; i!=input_view.size(); ++i) {
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// output_view(i) = decode_adc(input_view(i));
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// }
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return output;
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});
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py::class_<CtbRawFile>(m, "CtbRawFile")
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.def(py::init<const std::filesystem::path &>())
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.def("read_frame",
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