adding more nodes

tests/node_tests/fractal_interpolation.py

@@ -0,0 +1,43 @@
+import numpy as np
+import pytest
+from tests.node_tests._shared import make_field
+from backend.nodes.helpers import bool_to_mask
+
+
+def test_fractal_fills_hole():
+    from backend.nodes.fractal_interpolation import FractalInterpolation
+
+    node = FractalInterpolation()
+    data = np.random.default_rng(42).standard_normal((32, 32))
+    mask = np.zeros((32, 32), dtype=bool)
+    mask[12:20, 12:20] = True
+    field = make_field(data=data)
+    result, = node.process(field, bool_to_mask(mask), 50)
+    assert result.data.shape == (32, 32)
+    assert np.isfinite(result.data).all()
+
+
+def test_fractal_no_mask_unchanged():
+    from backend.nodes.fractal_interpolation import FractalInterpolation
+
+    node = FractalInterpolation()
+    field = make_field(shape=(32, 32))
+    mask = bool_to_mask(np.zeros((32, 32), dtype=bool))
+    result, = node.process(field, mask, 50)
+    assert np.allclose(result.data, field.data)
+
+
+def test_fractal_preserves_statistics():
+    from backend.nodes.fractal_interpolation import FractalInterpolation
+
+    node = FractalInterpolation()
+    rng = np.random.default_rng(0)
+    data = rng.standard_normal((64, 64))
+    mask = np.zeros((64, 64), dtype=bool)
+    mask[20:40, 20:40] = True
+    field = make_field(data=data)
+    result, = node.process(field, bool_to_mask(mask), 100)
+    # Filled region should have similar statistics to the rest
+    filled_std = result.data[mask].std()
+    valid_std = data[~mask].std()
+    assert filled_std > 0.1 * valid_std  # not flat