detectors/aare
25
0
Fork 0
mirror of https://github.com/slsdetectorgroup/aare.git synced 2026-02-19 04:58:40 +01:00
Code Issues Actions Packages Releases Activity

reduction tests for python

Browse Source
This commit is contained in:
mazzol_a
2025-09-01 14:15:08 +02:00
parent 8733a1d66f
commit 7926993bb2
7 changed files with 140 additions and 47 deletions
Download Patch File Download Diff File Expand all files Collapse all files

21
python/tests/test_Cluster.py
View File

@@ -101,6 +101,27 @@ def test_cluster_finder():
assert clusters.size == 0
def test_2x2_reduction():
"""Test 2x2 Reduction"""
cluster = _aare.Cluster3x3i(5,5,np.array([1, 1, 1, 2, 3, 1, 2, 2, 1], dtype=np.int32))
reduced_cluster = _aare.reduce_to_2x2(cluster)
assert reduced_cluster.x == 4
assert reduced_cluster.y == 5
assert (reduced_cluster.data == np.array([[2, 3], [2, 2]], dtype=np.int32)).all()
def test_3x3_reduction():
"""Test 3x3 Reduction"""
cluster = _aare.Cluster5x5d(5,5,np.array([1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 2.0, 1.0, 1.0, 1.0, 2.0, 2.0, 3.0,
1.0, 1.0, 1.0, 2.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0], dtype=np.double))
reduced_cluster = _aare.reduce_to_3x3(cluster)
assert reduced_cluster.x == 4
assert reduced_cluster.y == 5
assert (reduced_cluster.data == np.array([[1.0, 2.0, 1.0], [2.0, 2.0, 3.0], [1.0, 2.0, 1.0]], dtype=np.double)).all()

36
python/tests/test_ClusterVector.py
View File

@@ -5,7 +5,7 @@ import time
from pathlib import Path
import pickle
from aare import ClusterFile
from aare import ClusterFile, ClusterVector
from aare import _aare
from conftest import test_data_path
@@ -51,4 +51,36 @@ def test_make_a_hitmap_from_cluster_vector():
# print(img)
# print(ref)
assert (img == ref).all()
def test_2x2_reduction():
cv = ClusterVector((3,3))
cv.push_back(_aare.Cluster3x3i(5, 5, np.array([1, 1, 1, 2, 3, 1, 2, 2, 1], dtype=np.int32)))
cv.push_back(_aare.Cluster3x3i(5, 5, np.array([2, 2, 1, 2, 3, 1, 1, 1, 1], dtype=np.int32)))
reduced_cv = np.array(_aare.reduce_to_2x2(cv), copy=False)
assert reduced_cv.size == 2
assert reduced_cv[0]["x"] == 4
assert reduced_cv[0]["y"] == 5
assert (reduced_cv[0]["data"] == np.array([[2, 3], [2, 2]], dtype=np.int32)).all()
assert reduced_cv[1]["x"] == 4
assert reduced_cv[1]["y"] == 6
assert (reduced_cv[1]["data"] == np.array([[2, 2], [2, 3]], dtype=np.int32)).all()
def test_3x3_reduction():
cv = _aare.ClusterVector_Cluster5x5d()
cv.push_back(_aare.Cluster5x5d(5,5,np.array([1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 2.0, 1.0, 1.0, 1.0, 2.0, 2.0, 3.0,
1.0, 1.0, 1.0, 2.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0], dtype=np.double)))
cv.push_back(_aare.Cluster5x5d(5,5,np.array([1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 2.0, 1.0, 1.0, 1.0, 2.0, 2.0, 3.0,
1.0, 1.0, 1.0, 2.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0], dtype=np.double)))
reduced_cv = np.array(_aare.reduce_to_3x3(cv), copy=False)
assert reduced_cv.size == 2
assert reduced_cv[0]["x"] == 4
assert reduced_cv[0]["y"] == 5
assert (reduced_cv[0]["data"] == np.array([[1.0, 2.0, 1.0], [2.0, 2.0, 3.0], [1.0, 2.0, 1.0]], dtype=np.double)).all()