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Binding 5x5, 7x7 and 9x9 clusters in python (#188)
- New binding code with macros to bind all cluster templates - Simplified factory function on the python side - 5x5, 7x7 and 9x9 bindings in python
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@ -1,22 +1,47 @@
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from ._aare import ClusterFinder_Cluster3x3i, ClusterFinder_Cluster2x2i, ClusterFinderMT_Cluster3x3i, ClusterFinderMT_Cluster2x2i, ClusterCollector_Cluster3x3i, ClusterCollector_Cluster2x2i
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# from ._aare import ClusterFinder_Cluster3x3i, ClusterFinder_Cluster2x2i, ClusterFinderMT_Cluster3x3i, ClusterFinderMT_Cluster2x2i, ClusterCollector_Cluster3x3i, ClusterCollector_Cluster2x2i
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from ._aare import ClusterFileSink_Cluster3x3i, ClusterFileSink_Cluster2x2i
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# from ._aare import ClusterFileSink_Cluster3x3i, ClusterFileSink_Cluster2x2i
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from . import _aare
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import numpy as np
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_supported_cluster_sizes = [(2,2), (3,3), (5,5), (7,7), (9,9),]
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# def _get_class()
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def _type_to_char(dtype):
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if dtype == np.int32:
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return 'i'
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elif dtype == np.float32:
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return 'f'
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elif dtype == np.float64:
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return 'd'
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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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def _get_class(name, cluster_size, dtype):
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"""
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Helper function to get the class based on the name, cluster size, and dtype.
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"""
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try:
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class_name = f"{name}_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
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def ClusterFinder(image_size, cluster_size, 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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"""
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if dtype == np.int32 and cluster_size == (3,3):
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return ClusterFinder_Cluster3x3i(image_size, n_sigma = n_sigma, capacity=capacity)
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elif dtype == np.int32 and cluster_size == (2,2):
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return ClusterFinder_Cluster2x2i(image_size, n_sigma = n_sigma, capacity=capacity)
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else:
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#TODO! add the other formats
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raise ValueError(f"Unsupported dtype: {dtype}. Only np.int32 is supported.")
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cls = _get_class("ClusterFinder", cluster_size, dtype)
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return cls(image_size, n_sigma=n_sigma, capacity=capacity)
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def ClusterFinderMT(image_size, cluster_size = (3,3), dtype=np.int32, n_sigma=5, capacity = 1024, n_threads = 3):
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@ -25,15 +50,9 @@ def ClusterFinderMT(image_size, cluster_size = (3,3), dtype=np.int32, n_sigma=5,
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the templated ClusterFinderMT in C++.
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"""
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if dtype == np.int32 and cluster_size == (3,3):
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return ClusterFinderMT_Cluster3x3i(image_size, n_sigma = n_sigma,
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capacity = capacity, n_threads = n_threads)
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elif dtype == np.int32 and cluster_size == (2,2):
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return ClusterFinderMT_Cluster2x2i(image_size, n_sigma = n_sigma,
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capacity = capacity, n_threads = n_threads)
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else:
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#TODO! add the other formats
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raise ValueError(f"Unsupported dtype: {dtype}. Only np.int32 is supported.")
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cls = _get_class("ClusterFinderMT", cluster_size, dtype)
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return cls(image_size, n_sigma=n_sigma, capacity=capacity, n_threads=n_threads)
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def ClusterCollector(clusterfindermt, cluster_size = (3,3), dtype=np.int32):
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@ -42,14 +61,8 @@ def ClusterCollector(clusterfindermt, cluster_size = (3,3), dtype=np.int32):
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the templated ClusterCollector in C++.
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"""
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if dtype == np.int32 and cluster_size == (3,3):
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return ClusterCollector_Cluster3x3i(clusterfindermt)
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elif dtype == np.int32 and cluster_size == (2,2):
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return ClusterCollector_Cluster2x2i(clusterfindermt)
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else:
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#TODO! add the other formats
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raise ValueError(f"Unsupported dtype: {dtype}. Only np.int32 is supported.")
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cls = _get_class("ClusterCollector", cluster_size, dtype)
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return cls(clusterfindermt)
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def ClusterFileSink(clusterfindermt, cluster_file, dtype=np.int32):
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"""
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@ -57,11 +70,15 @@ def ClusterFileSink(clusterfindermt, cluster_file, dtype=np.int32):
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the templated ClusterCollector in C++.
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"""
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if dtype == np.int32 and clusterfindermt.cluster_size == (3,3):
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return ClusterFileSink_Cluster3x3i(clusterfindermt, cluster_file)
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elif dtype == np.int32 and clusterfindermt.cluster_size == (2,2):
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return ClusterFileSink_Cluster2x2i(clusterfindermt, cluster_file)
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else:
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#TODO! add the other formats
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raise ValueError(f"Unsupported dtype: {dtype}. Only np.int32 is supported.")
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cls = _get_class("ClusterFileSink", clusterfindermt.cluster_size, dtype)
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return cls(clusterfindermt, cluster_file)
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def ClusterFile(fname, cluster_size=(3,3), dtype=np.int32):
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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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"""
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cls = _get_class("ClusterFile", cluster_size, dtype)
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return cls(fname)
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