tip modelling and deconvolution

tests/node_tests/resample.py

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+import numpy as np
+import pytest
+from tests.node_tests._shared import make_field
+
+
+def test_resample_upsample():
+    from backend.nodes.resample import Resample
+
+    node = Resample()
+    field = make_field(shape=(32, 32))
+    result, = node.process(field, width=64, height=64, interpolation="linear")
+
+    assert result.data.shape == (64, 64)
+    assert np.isclose(result.xreal, field.xreal)
+    assert np.isclose(result.yreal, field.yreal)
+    # dx should halve since physical size is same but twice the pixels
+    assert np.isclose(result.dx, field.dx / 2, rtol=1e-9)
+
+
+def test_resample_downsample():
+    from backend.nodes.resample import Resample
+
+    node = Resample()
+    field = make_field(shape=(64, 64))
+    result, = node.process(field, width=32, height=32, interpolation="linear")
+
+    assert result.data.shape == (32, 32)
+    assert np.isclose(result.xreal, field.xreal)
+
+
+def test_resample_non_square():
+    from backend.nodes.resample import Resample
+
+    node = Resample()
+    field = make_field(shape=(32, 64))
+    result, = node.process(field, width=128, height=64, interpolation="nearest")
+
+    assert result.data.shape == (64, 128)
+
+
+def test_resample_interpolation_modes():
+    from backend.nodes.resample import Resample
+
+    node = Resample()
+    field = make_field(shape=(32, 32))
+
+    for interp in ("linear", "cubic", "nearest"):
+        result, = node.process(field, width=64, height=64, interpolation=interp)
+        assert result.data.shape == (64, 64)
+
+
+def test_resample_constant_field():
+    """Resampling a constant field should remain constant regardless of interpolation."""
+    from backend.nodes.resample import Resample
+
+    node = Resample()
+    field = make_field(data=np.full((16, 16), 3.14))
+
+    for interp in ("linear", "cubic", "nearest"):
+        result, = node.process(field, width=32, height=32, interpolation=interp)
+        assert np.allclose(result.data, 3.14, atol=1e-6)
+
+
+def test_resample_metadata_preserved():
+    from backend.nodes.resample import Resample
+
+    node = Resample()
+    field = make_field()
+    result, = node.process(field, width=64, height=64, interpolation="linear")
+
+    assert result.si_unit_xy == field.si_unit_xy
+    assert result.si_unit_z == field.si_unit_z
+    assert np.isclose(result.xreal, field.xreal)
+
+
+def test_resample_unknown_interpolation():
+    from backend.nodes.resample import Resample
+
+    node = Resample()
+    field = make_field()
+
+    with pytest.raises(ValueError, match="interpolation"):
+        node.process(field, width=64, height=64, interpolation="lanczos")