low pri features

tests/node_tests/synthetic_surface.py

@@ -0,0 +1,57 @@
+import numpy as np
+import pytest
+
+
+def test_all_patterns_produce_correct_shape():
+    from backend.nodes.synthetic_surface import SyntheticSurface
+
+    node = SyntheticSurface()
+    for pattern in ("fbm", "white_noise", "lattice", "steps", "particles", "flat"):
+        result, = node.process(
+            pattern=pattern, xres=64, yres=48, xreal=1e-6, yreal=1e-6,
+            amplitude=1e-9, seed=42,
+        )
+        assert result.data.shape == (48, 64), f"Failed for {pattern}"
+
+
+def test_flat_is_zero():
+    from backend.nodes.synthetic_surface import SyntheticSurface
+
+    node = SyntheticSurface()
+    result, = node.process(
+        pattern="flat", xres=32, yres=32, xreal=1e-6, yreal=1e-6,
+        amplitude=1e-9, seed=0,
+    )
+    assert np.allclose(result.data, 0.0)
+
+
+def test_seed_reproducibility():
+    from backend.nodes.synthetic_surface import SyntheticSurface
+
+    node = SyntheticSurface()
+    kwargs = dict(pattern="fbm", xres=32, yres=32, xreal=1e-6, yreal=1e-6,
+                  amplitude=1e-9, seed=123)
+    r1, = node.process(**kwargs)
+    r2, = node.process(**kwargs)
+    assert np.array_equal(r1.data, r2.data)
+
+
+def test_amplitude_scaling():
+    from backend.nodes.synthetic_surface import SyntheticSurface
+
+    node = SyntheticSurface()
+    result, = node.process(
+        pattern="white_noise", xres=64, yres=64, xreal=1e-6, yreal=1e-6,
+        amplitude=5e-9, seed=42,
+    )
+    assert result.data.max() <= 5e-9 + 1e-15
+    assert result.data.min() >= -1e-15
+
+
+def test_unknown_pattern():
+    from backend.nodes.synthetic_surface import SyntheticSurface
+
+    node = SyntheticSurface()
+    with pytest.raises(ValueError):
+        node.process(pattern="unknown", xres=32, yres=32, xreal=1e-6, yreal=1e-6,
+                     amplitude=1e-9, seed=0)