low pri features

tests/node_tests/facet_analysis.py

@@ -0,0 +1,42 @@
+import numpy as np
+import pytest
+from tests.node_tests._shared import make_field
+
+
+def test_facet_analysis_basic():
+    from backend.nodes.facet_analysis import FacetAnalysis
+
+    node = FacetAnalysis()
+    field = make_field(shape=(64, 64))
+    result, = node.process(field, 180, 3)
+    assert result.data.ndim == 2
+    assert result.si_unit_xy == "deg"
+
+
+def test_facet_analysis_flat_field():
+    from backend.nodes.facet_analysis import FacetAnalysis
+
+    node = FacetAnalysis()
+    field = make_field(data=np.zeros((32, 32)))
+    result, = node.process(field, 180, 3)
+    assert result.data.ndim == 2
+
+
+def test_facet_analysis_density_normalised():
+    from backend.nodes.facet_analysis import FacetAnalysis
+
+    node = FacetAnalysis()
+    field = make_field(shape=(64, 64))
+    result, = node.process(field, 180, 3)
+    # Should be a normalised probability density
+    assert np.isclose(result.data.sum(), 1.0, atol=1e-10)
+
+
+def test_facet_analysis_bin_count():
+    from backend.nodes.facet_analysis import FacetAnalysis
+
+    node = FacetAnalysis()
+    field = make_field(shape=(64, 64))
+    result, = node.process(field, 360, 3)
+    # phi bins = n_bins, theta bins = n_bins // 4
+    assert result.data.shape == (90, 360)