mirror of
https://github.com/slsdetectorgroup/aare.git
synced 2026-02-19 23:28:40 +01:00
added docstrings wrap struct into tuple
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@@ -62,7 +62,13 @@ void define_Cluster(py::module &m, const std::string &typestr) {
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.def(
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.def(
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"max_sum_2x2",
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"max_sum_2x2",
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&Cluster<Type, ClusterSizeX, ClusterSizeY, CoordType>::max_sum_2x2);
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[](Cluster<Type, ClusterSizeX, ClusterSizeY, CoordType> &self) {
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auto max_sum = self.max_sum_2x2();
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return py::make_tuple(max_sum.sum,
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static_cast<int>(max_sum.index));
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},
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R"(calculates sum of 2x2 subcluster with highest energy and index relative to cluster center 0: top_left, 1: top_right, 2: bottom_left, 3: bottom_right
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)");
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}
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}
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template <typename T, uint8_t ClusterSizeX, uint8_t ClusterSizeY,
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template <typename T, uint8_t ClusterSizeX, uint8_t ClusterSizeY,
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@@ -44,13 +44,16 @@ void define_ClusterVector(py::module &m, const std::string &typestr) {
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auto *vec = new std::vector<Type>(self.sum());
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auto *vec = new std::vector<Type>(self.sum());
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return return_vector(vec);
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return return_vector(vec);
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})
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})
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.def("sum_2x2",
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.def(
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"sum_2x2",
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[](ClusterVector<ClusterType> &self) {
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[](ClusterVector<ClusterType> &self) {
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auto *vec = new std::vector<Sum_index_pair<Type, corner>>(
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auto *vec = new std::vector<Sum_index_pair<Type, corner>>(
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self.sum_2x2());
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self.sum_2x2());
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return return_vector(vec);
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return return_vector(vec);
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})
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},
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R"(calculates sum of 2x2 subcluster with highest energy and index relative to cluster center 0: top_left, 1: top_right, 2: bottom_left, 3: bottom_right
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)")
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.def_property_readonly("size", &ClusterVector<ClusterType>::size)
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.def_property_readonly("size", &ClusterVector<ClusterType>::size)
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.def("item_size", &ClusterVector<ClusterType>::item_size)
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.def("item_size", &ClusterVector<ClusterType>::item_size)
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.def_property_readonly("fmt",
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.def_property_readonly("fmt",
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@@ -86,6 +86,17 @@ def test_calculate_eta():
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assert eta2[1,0] == 0.5
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assert eta2[1,0] == 0.5
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assert eta2[1,1] == 0.4 #2/5
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assert eta2[1,1] == 0.4 #2/5
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def test_max_sum():
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"""Max 2x2 Sum"""
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cluster = _aare.Cluster3x3i(5,5,np.array([1, 1, 1, 2, 3, 1, 2, 2, 1], dtype=np.int32))
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max_sum = cluster.max_sum_2x2()
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assert max_sum[0] == 9
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assert max_sum[1] == 2
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def test_cluster_finder():
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def test_cluster_finder():
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"""Test ClusterFinder"""
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"""Test ClusterFinder"""
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