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https://github.com/slsdetectorgroup/aare.git
synced 2026-06-05 12:38:42 +02:00
Dev/rosenblatttransform (#241)
- added rosenblatttransform - added 3x3 eta methods - interpolation can be used with various eta functions - added documentation for interpolation, eta calculation - exposed full eta struct in python - disable ClusterFinder for 2x2 clusters - factory function for ClusterVector --------- Co-authored-by: Dhanya Thattil <dhanya.thattil@psi.ch> Co-authored-by: Erik Fröjdh <erik.frojdh@psi.ch>
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@@ -0,0 +1,24 @@
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from . import _aare
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import numpy as np
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from .ClusterFinder import _type_to_char
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def Cluster(x : int, y : int, data, cluster_size=(3,3), dtype = np.int32):
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"""
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Factory function to create a Cluster object. Provides a cleaner syntax for
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the templated Cluster in C++.
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.. code-block:: python
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from aare import Cluster
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Cluster(cluster_size=(3,3), dtype=np.float64)
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"""
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try:
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class_name = f"Cluster{cluster_size[0]}x{cluster_size[1]}{_type_to_char(dtype)}"
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cls = getattr(_aare, class_name)
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except AttributeError:
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raise ValueError(f"Unsupported combination of type and cluster size: {dtype}/{cluster_size} when requesting {class_name}")
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return cls(x, y, data)
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@@ -10,6 +10,8 @@ def _type_to_char(dtype):
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return 'f'
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elif dtype == np.float64:
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return 'd'
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elif dtype == np.int16:
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return 'i16'
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else:
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raise ValueError(f"Unsupported dtype: {dtype}. Only np.int32, np.float32, and np.float64 are supported.")
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@@ -26,7 +28,7 @@ def _get_class(name, cluster_size, dtype):
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def ClusterFinder(image_size, cluster_size, n_sigma=5, dtype = np.int32, capacity = 1024):
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def ClusterFinder(image_size, cluster_size=(3,3), n_sigma=5, dtype = np.int32, capacity = 1024):
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"""
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Factory function to create a ClusterFinder object. Provides a cleaner syntax for
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the templated ClusterFinder in C++.
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@@ -65,7 +67,7 @@ def ClusterFileSink(clusterfindermt, cluster_file, dtype=np.int32):
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return cls(clusterfindermt, cluster_file)
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def ClusterFile(fname, cluster_size=(3,3), dtype=np.int32, chunk_size = 1000):
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def ClusterFile(fname, cluster_size=(3,3), dtype=np.int32, chunk_size = 1000, mode = "r"):
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"""
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Factory function to create a ClusterFile object. Provides a cleaner syntax for
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the templated ClusterFile in C++.
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@@ -83,4 +85,4 @@ def ClusterFile(fname, cluster_size=(3,3), dtype=np.int32, chunk_size = 1000):
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"""
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cls = _get_class("ClusterFile", cluster_size, dtype)
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return cls(fname, chunk_size=chunk_size)
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return cls(fname, chunk_size=chunk_size, mode=mode)
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@@ -1,11 +1,21 @@
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from ._aare import ClusterVector_Cluster3x3i
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from . import _aare
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import numpy as np
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from .ClusterFinder import _get_class
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def ClusterVector(cluster_size, dtype = np.int32):
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def ClusterVector(cluster_size=(3,3), dtype = np.int32):
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"""
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Factory function to create a ClusterVector object. Provides a cleaner syntax for
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the templated ClusterVector in C++.
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.. code-block:: python
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from aare import ClusterVector
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ClusterVector(cluster_size=(3,3), dtype=np.float64)
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"""
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cls = _get_class("ClusterVector", cluster_size, dtype)
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return cls()
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if dtype == np.int32 and cluster_size == (3,3):
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return ClusterVector_Cluster3x3i()
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else:
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raise ValueError(f"Unsupported dtype: {dtype}. Only np.int32 is supported.")
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@@ -7,16 +7,18 @@ from ._aare import Pedestal_d, Pedestal_f, ClusterFinder_Cluster3x3i, VarCluster
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from ._aare import DetectorType
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from ._aare import hitmap
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from ._aare import ROI
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from ._aare import corner
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# from ._aare import ClusterFinderMT, ClusterCollector, ClusterFileSink, ClusterVector_i
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from .ClusterFinder import ClusterFinder, ClusterCollector, ClusterFinderMT, ClusterFileSink, ClusterFile
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from .ClusterVector import ClusterVector
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from .Cluster import Cluster
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from ._aare import fit_gaus, fit_pol1, fit_scurve, fit_scurve2
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from ._aare import Interpolator
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from ._aare import calculate_eta2
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from ._aare import calculate_eta2, calculate_eta3, calculate_cross_eta3, calculate_full_eta2
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from ._aare import reduce_to_2x2, reduce_to_3x3
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from ._aare import apply_custom_weights
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