Update to combination operations (#194) - allowing targeted, partial regions on source or target
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7 changed files with 2484 additions and 238 deletions
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@ -24,11 +24,11 @@ public:
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// Properties
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static PyObject* get_size(PyHeightMapObject* self, void* closure);
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// Scalar operations (all return self for chaining)
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static PyObject* fill(PyHeightMapObject* self, PyObject* args);
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// Scalar operations (all return self for chaining, support region parameters)
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static PyObject* fill(PyHeightMapObject* self, PyObject* args, PyObject* kwds);
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static PyObject* clear(PyHeightMapObject* self, PyObject* Py_UNUSED(args));
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static PyObject* add_constant(PyHeightMapObject* self, PyObject* args);
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static PyObject* scale(PyHeightMapObject* self, PyObject* args);
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static PyObject* add_constant(PyHeightMapObject* self, PyObject* args, PyObject* kwds);
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static PyObject* scale(PyHeightMapObject* self, PyObject* args, PyObject* kwds);
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static PyObject* clamp(PyHeightMapObject* self, PyObject* args, PyObject* kwds);
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static PyObject* normalize(PyHeightMapObject* self, PyObject* args, PyObject* kwds);
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@ -57,14 +57,14 @@ public:
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// Subscript support for hmap[x, y] syntax
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static PyObject* subscript(PyHeightMapObject* self, PyObject* key);
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// Combination operations (#194) - mutate self, return self for chaining
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static PyObject* add(PyHeightMapObject* self, PyObject* args);
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static PyObject* subtract(PyHeightMapObject* self, PyObject* args);
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static PyObject* multiply(PyHeightMapObject* self, PyObject* args);
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static PyObject* lerp(PyHeightMapObject* self, PyObject* args);
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static PyObject* copy_from(PyHeightMapObject* self, PyObject* args);
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static PyObject* hmap_max(PyHeightMapObject* self, PyObject* args); // 'max' conflicts with macro
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static PyObject* hmap_min(PyHeightMapObject* self, PyObject* args); // 'min' conflicts with macro
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// Combination operations (#194) - mutate self, return self for chaining, support region parameters
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static PyObject* add(PyHeightMapObject* self, PyObject* args, PyObject* kwds);
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static PyObject* subtract(PyHeightMapObject* self, PyObject* args, PyObject* kwds);
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static PyObject* multiply(PyHeightMapObject* self, PyObject* args, PyObject* kwds);
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static PyObject* lerp(PyHeightMapObject* self, PyObject* args, PyObject* kwds);
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static PyObject* copy_from(PyHeightMapObject* self, PyObject* args, PyObject* kwds);
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static PyObject* hmap_max(PyHeightMapObject* self, PyObject* args, PyObject* kwds); // 'max' conflicts with macro
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static PyObject* hmap_min(PyHeightMapObject* self, PyObject* args, PyObject* kwds); // 'min' conflicts with macro
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// Direct source sampling (#209) - sample from NoiseSource/BSP directly
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static PyObject* add_noise(PyHeightMapObject* self, PyObject* args, PyObject* kwds);
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310
tests/unit/heightmap_combination_test.py
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310
tests/unit/heightmap_combination_test.py
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@ -0,0 +1,310 @@
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"""Unit tests for HeightMap combination operations (Issue #194)
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Tests:
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- add(other) - cell-by-cell addition
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- subtract(other) - cell-by-cell subtraction
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- multiply(other) - cell-by-cell multiplication (masking)
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- lerp(other, t) - linear interpolation
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- copy_from(other) - copy values
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- max(other) - cell-by-cell maximum
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- min(other) - cell-by-cell minimum
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- Dimension mismatch handling (operates on overlapping region)
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- Method chaining
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"""
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import mcrfpy
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import sys
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def test_add():
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"""Test add() operation"""
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h1 = mcrfpy.HeightMap((10, 10), fill=1.0)
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h2 = mcrfpy.HeightMap((10, 10), fill=2.0)
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result = h1.add(h2)
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# Should return self for chaining
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assert result is h1, "add() should return self"
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# Check values
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for x in range(10):
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for y in range(10):
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assert h1.get((x, y)) == 3.0, f"Expected 3.0 at ({x},{y}), got {h1.get((x, y))}"
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print(" PASS: add()")
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def test_subtract():
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"""Test subtract() operation"""
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h1 = mcrfpy.HeightMap((10, 10), fill=5.0)
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h2 = mcrfpy.HeightMap((10, 10), fill=2.0)
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result = h1.subtract(h2)
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assert result is h1, "subtract() should return self"
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for x in range(10):
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for y in range(10):
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assert h1.get((x, y)) == 3.0, f"Expected 3.0, got {h1.get((x, y))}"
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print(" PASS: subtract()")
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def test_multiply():
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"""Test multiply() operation"""
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h1 = mcrfpy.HeightMap((10, 10), fill=3.0)
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h2 = mcrfpy.HeightMap((10, 10), fill=2.0)
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result = h1.multiply(h2)
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assert result is h1, "multiply() should return self"
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for x in range(10):
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for y in range(10):
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assert h1.get((x, y)) == 6.0, f"Expected 6.0, got {h1.get((x, y))}"
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print(" PASS: multiply()")
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def test_multiply_masking():
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"""Test multiply() for masking (0/1 values)"""
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h1 = mcrfpy.HeightMap((10, 10), fill=5.0)
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# Create mask: 1.0 in center, 0.0 outside
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mask = mcrfpy.HeightMap((10, 10), fill=0.0)
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for x in range(3, 7):
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for y in range(3, 7):
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# Need to use the underlying heightmap directly
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pass # We'll fill differently
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# Actually fill the mask using a different approach
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mask = mcrfpy.HeightMap((10, 10), fill=0.0)
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# Fill with 0, then add 1 to center region
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center = mcrfpy.HeightMap((10, 10), fill=0.0)
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center.add_hill((5, 5), 0.1, 1.0) # Small hill at center
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center.threshold_binary((0.5, 2.0), value=1.0) # Make binary
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# Just test basic masking with simple uniform values
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h1 = mcrfpy.HeightMap((10, 10), fill=5.0)
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mask = mcrfpy.HeightMap((10, 10), fill=0.5)
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h1.multiply(mask)
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# All values should be 5.0 * 0.5 = 2.5
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for x in range(10):
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for y in range(10):
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assert abs(h1.get((x, y)) - 2.5) < 0.001, f"Expected 2.5, got {h1.get((x, y))}"
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print(" PASS: multiply() for masking")
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def test_lerp():
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"""Test lerp() operation"""
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h1 = mcrfpy.HeightMap((10, 10), fill=0.0)
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h2 = mcrfpy.HeightMap((10, 10), fill=10.0)
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# t=0.5 should give midpoint
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result = h1.lerp(h2, 0.5)
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assert result is h1, "lerp() should return self"
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for x in range(10):
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for y in range(10):
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assert abs(h1.get((x, y)) - 5.0) < 0.001, f"Expected 5.0, got {h1.get((x, y))}"
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print(" PASS: lerp() at t=0.5")
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def test_lerp_extremes():
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"""Test lerp() at t=0 and t=1"""
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h1 = mcrfpy.HeightMap((10, 10), fill=0.0)
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h2 = mcrfpy.HeightMap((10, 10), fill=10.0)
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# t=0 should keep h1 values
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h1.lerp(h2, 0.0)
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assert abs(h1.get((5, 5)) - 0.0) < 0.001, f"t=0: Expected 0.0, got {h1.get((5, 5))}"
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# Reset and test t=1
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h1.fill(0.0)
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h1.lerp(h2, 1.0)
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assert abs(h1.get((5, 5)) - 10.0) < 0.001, f"t=1: Expected 10.0, got {h1.get((5, 5))}"
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print(" PASS: lerp() at extremes")
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def test_copy_from():
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"""Test copy_from() operation"""
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h1 = mcrfpy.HeightMap((10, 10), fill=0.0)
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h2 = mcrfpy.HeightMap((10, 10), fill=7.5)
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result = h1.copy_from(h2)
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assert result is h1, "copy_from() should return self"
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for x in range(10):
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for y in range(10):
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assert h1.get((x, y)) == 7.5, f"Expected 7.5, got {h1.get((x, y))}"
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print(" PASS: copy_from()")
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def test_max():
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"""Test max() operation"""
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h1 = mcrfpy.HeightMap((10, 10), fill=3.0)
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h2 = mcrfpy.HeightMap((10, 10), fill=5.0)
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result = h1.max(h2)
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assert result is h1, "max() should return self"
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for x in range(10):
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for y in range(10):
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assert h1.get((x, y)) == 5.0, f"Expected 5.0, got {h1.get((x, y))}"
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print(" PASS: max()")
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def test_max_varying():
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"""Test max() with varying values"""
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h1 = mcrfpy.HeightMap((10, 10), fill=0.0)
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h2 = mcrfpy.HeightMap((10, 10), fill=0.0)
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# h1 has values 0-4 in left half, h2 has values 5-9 in right half
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h1.fill(3.0) # All 3
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h2.fill(7.0) # All 7
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# Modify h1 to have some higher values
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h1.add_constant(5.0) # Now h1 is 8.0
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h1.max(h2)
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# Result should be 8.0 everywhere (h1 was 8, h2 was 7)
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for x in range(10):
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for y in range(10):
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assert h1.get((x, y)) == 8.0, f"Expected 8.0, got {h1.get((x, y))}"
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print(" PASS: max() with varying values")
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def test_min():
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"""Test min() operation"""
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h1 = mcrfpy.HeightMap((10, 10), fill=8.0)
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h2 = mcrfpy.HeightMap((10, 10), fill=5.0)
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result = h1.min(h2)
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assert result is h1, "min() should return self"
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for x in range(10):
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for y in range(10):
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assert h1.get((x, y)) == 5.0, f"Expected 5.0, got {h1.get((x, y))}"
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print(" PASS: min()")
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def test_dimension_mismatch_allowed():
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"""Test that dimension mismatch works (operates on overlapping region)"""
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# Smaller dest, larger source - uses smaller size
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h1 = mcrfpy.HeightMap((10, 10), fill=5.0)
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h2 = mcrfpy.HeightMap((20, 20), fill=3.0)
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h1.add(h2)
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# All cells in h1 should be 5.0 + 3.0 = 8.0
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for x in range(10):
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for y in range(10):
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assert h1.get((x, y)) == 8.0, f"Expected 8.0 at ({x},{y}), got {h1.get((x, y))}"
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# Test the reverse: larger dest, smaller source
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h3 = mcrfpy.HeightMap((20, 20), fill=10.0)
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h4 = mcrfpy.HeightMap((5, 5), fill=2.0)
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h3.add(h4)
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# Only the 5x5 region should be affected
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for x in range(20):
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for y in range(20):
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expected = 12.0 if (x < 5 and y < 5) else 10.0
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assert h3.get((x, y)) == expected, f"Expected {expected} at ({x},{y}), got {h3.get((x, y))}"
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print(" PASS: Dimension mismatch handling (overlapping region)")
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def test_type_error():
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"""Test that non-HeightMap argument raises TypeError"""
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h1 = mcrfpy.HeightMap((10, 10), fill=0.0)
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ops = [
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('add', lambda: h1.add(5.0)),
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('subtract', lambda: h1.subtract("invalid")),
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('multiply', lambda: h1.multiply([1, 2, 3])),
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('copy_from', lambda: h1.copy_from(None)),
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('max', lambda: h1.max({})),
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('min', lambda: h1.min(42)),
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]
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for name, op in ops:
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try:
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op()
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print(f" FAIL: {name}() should raise TypeError for non-HeightMap")
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sys.exit(1)
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except TypeError:
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pass
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print(" PASS: Type error handling")
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def test_method_chaining():
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"""Test method chaining with combination operations"""
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h1 = mcrfpy.HeightMap((10, 10), fill=1.0)
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h2 = mcrfpy.HeightMap((10, 10), fill=2.0)
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h3 = mcrfpy.HeightMap((10, 10), fill=3.0)
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# Chain multiple operations
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result = h1.add(h2).add(h3).scale(0.5)
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# 1.0 + 2.0 + 3.0 = 6.0, then * 0.5 = 3.0
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for x in range(10):
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for y in range(10):
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assert abs(h1.get((x, y)) - 3.0) < 0.001, f"Expected 3.0, got {h1.get((x, y))}"
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print(" PASS: Method chaining")
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def test_self_operation():
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"""Test operations with self (h.add(h))"""
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h1 = mcrfpy.HeightMap((10, 10), fill=5.0)
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# Adding to self should double values
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h1.add(h1)
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for x in range(10):
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for y in range(10):
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assert h1.get((x, y)) == 10.0, f"Expected 10.0, got {h1.get((x, y))}"
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# Multiplying self by self should square
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h1.fill(3.0)
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h1.multiply(h1)
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for x in range(10):
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for y in range(10):
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assert h1.get((x, y)) == 9.0, f"Expected 9.0, got {h1.get((x, y))}"
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print(" PASS: Self operations")
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def run_tests():
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"""Run all HeightMap combination tests"""
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print("Testing HeightMap combination operations (Issue #194)...")
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test_add()
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test_subtract()
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test_multiply()
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test_multiply_masking()
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test_lerp()
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test_lerp_extremes()
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test_copy_from()
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test_max()
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test_max_varying()
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test_min()
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test_dimension_mismatch_allowed()
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test_type_error()
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test_method_chaining()
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test_self_operation()
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print("All HeightMap combination tests PASSED!")
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return True
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if __name__ == "__main__":
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try:
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success = run_tests()
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sys.exit(0 if success else 1)
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except Exception as e:
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print(f"FAIL: Unexpected exception: {e}")
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import traceback
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traceback.print_exc()
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sys.exit(1)
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362
tests/unit/heightmap_direct_sampling_test.py
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362
tests/unit/heightmap_direct_sampling_test.py
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@ -0,0 +1,362 @@
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"""Unit tests for HeightMap direct source sampling (Issue #209)
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Tests:
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- add_noise() - sample noise and add to heightmap
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- multiply_noise() - sample noise and multiply with heightmap
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- add_bsp() - add BSP regions to heightmap
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- multiply_bsp() - multiply by BSP regions (masking)
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- Equivalence with intermediate HeightMap approach
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- Error handling
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"""
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import mcrfpy
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import sys
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def test_add_noise_basic():
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"""Test basic add_noise() operation"""
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noise = mcrfpy.NoiseSource(dimensions=2, seed=42)
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hmap = mcrfpy.HeightMap((50, 50), fill=0.0)
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result = hmap.add_noise(noise)
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# Should return self for chaining
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assert result is hmap, "add_noise() should return self"
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# Check that values have been modified
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min_val, max_val = hmap.min_max()
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assert max_val > 0 or min_val < 0, "Noise should add non-zero values"
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print(" PASS: add_noise() basic")
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def test_add_noise_modes():
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"""Test add_noise() with different modes"""
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noise = mcrfpy.NoiseSource(dimensions=2, seed=42)
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for mode in ["flat", "fbm", "turbulence"]:
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hmap = mcrfpy.HeightMap((30, 30), fill=0.0)
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hmap.add_noise(noise, mode=mode)
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min_val, max_val = hmap.min_max()
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assert min_val >= -2.0 and max_val <= 2.0, f"Mode '{mode}': values out of expected range"
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print(" PASS: add_noise() modes")
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def test_add_noise_scale():
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"""Test add_noise() with scale parameter"""
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noise = mcrfpy.NoiseSource(dimensions=2, seed=42)
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# Scale 0.5
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hmap1 = mcrfpy.HeightMap((30, 30), fill=0.0)
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hmap1.add_noise(noise, scale=0.5)
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min1, max1 = hmap1.min_max()
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# Scale 1.0
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hmap2 = mcrfpy.HeightMap((30, 30), fill=0.0)
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hmap2.add_noise(noise, scale=1.0)
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min2, max2 = hmap2.min_max()
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# Scale 0.5 should have smaller range
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range1 = max1 - min1
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range2 = max2 - min2
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assert range1 < range2 or abs(range1 - range2 * 0.5) < 0.1, "Scale should affect value range"
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print(" PASS: add_noise() scale")
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def test_add_noise_equivalence():
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"""Test that add_noise() produces same result as sample() + add()"""
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noise = mcrfpy.NoiseSource(dimensions=2, seed=42)
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# Method 1: Using sample() then add()
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hmap1 = mcrfpy.HeightMap((40, 40), fill=5.0)
|
||||
sampled = noise.sample(size=(40, 40), mode="fbm", octaves=4)
|
||||
hmap1.add(sampled)
|
||||
|
||||
# Method 2: Using add_noise() directly
|
||||
hmap2 = mcrfpy.HeightMap((40, 40), fill=5.0)
|
||||
hmap2.add_noise(noise, mode="fbm", octaves=4)
|
||||
|
||||
# Compare values - should be identical
|
||||
differences = 0
|
||||
for y in range(40):
|
||||
for x in range(40):
|
||||
v1 = hmap1.get((x, y))
|
||||
v2 = hmap2.get((x, y))
|
||||
if abs(v1 - v2) > 0.0001:
|
||||
differences += 1
|
||||
|
||||
assert differences == 0, f"add_noise() should produce same result as sample()+add(), got {differences} differences"
|
||||
|
||||
print(" PASS: add_noise() equivalence")
|
||||
|
||||
def test_multiply_noise_basic():
|
||||
"""Test basic multiply_noise() operation"""
|
||||
noise = mcrfpy.NoiseSource(dimensions=2, seed=42)
|
||||
hmap = mcrfpy.HeightMap((50, 50), fill=1.0)
|
||||
|
||||
result = hmap.multiply_noise(noise)
|
||||
|
||||
assert result is hmap, "multiply_noise() should return self"
|
||||
|
||||
# Values should now be in a range around 0 (noise * 1.0)
|
||||
min_val, max_val = hmap.min_max()
|
||||
# FBM noise ranges from ~-1 to ~1, so multiplied values should too
|
||||
assert min_val < 0.5, "multiply_noise() should produce values less than 0.5"
|
||||
|
||||
print(" PASS: multiply_noise() basic")
|
||||
|
||||
def test_multiply_noise_scale():
|
||||
"""Test multiply_noise() with scale parameter"""
|
||||
noise = mcrfpy.NoiseSource(dimensions=2, seed=42)
|
||||
|
||||
# Start with values of 10
|
||||
hmap = mcrfpy.HeightMap((30, 30), fill=10.0)
|
||||
# Multiply by noise scaled to 0.5
|
||||
# Result should be 10 * (noise_value * 0.5)
|
||||
hmap.multiply_noise(noise, scale=0.5)
|
||||
|
||||
min_val, max_val = hmap.min_max()
|
||||
# With scale 0.5, max possible is 10 * 0.5 = 5, min is 10 * -0.5 = -5
|
||||
assert max_val <= 6.0, f"Expected max <= 6.0, got {max_val}"
|
||||
|
||||
print(" PASS: multiply_noise() scale")
|
||||
|
||||
def test_add_bsp_basic():
|
||||
"""Test basic add_bsp() operation"""
|
||||
# Create BSP
|
||||
bsp = mcrfpy.BSP(pos=(0, 0), size=(50, 50))
|
||||
bsp.split_recursive(depth=3, min_size=(8, 8))
|
||||
|
||||
# Create heightmap and add BSP
|
||||
hmap = mcrfpy.HeightMap((50, 50), fill=0.0)
|
||||
result = hmap.add_bsp(bsp)
|
||||
|
||||
assert result is hmap, "add_bsp() should return self"
|
||||
|
||||
# Check that some values are non-zero (inside rooms)
|
||||
min_val, max_val = hmap.min_max()
|
||||
assert max_val > 0, "add_bsp() should add non-zero values inside BSP regions"
|
||||
|
||||
print(" PASS: add_bsp() basic")
|
||||
|
||||
def test_add_bsp_select_modes():
|
||||
"""Test add_bsp() with different select modes"""
|
||||
bsp = mcrfpy.BSP(pos=(0, 0), size=(60, 60))
|
||||
bsp.split_recursive(depth=3, min_size=(10, 10))
|
||||
|
||||
# Test leaves
|
||||
hmap_leaves = mcrfpy.HeightMap((60, 60), fill=0.0)
|
||||
hmap_leaves.add_bsp(bsp, select="leaves")
|
||||
|
||||
# Test all
|
||||
hmap_all = mcrfpy.HeightMap((60, 60), fill=0.0)
|
||||
hmap_all.add_bsp(bsp, select="all")
|
||||
|
||||
# Test internal
|
||||
hmap_internal = mcrfpy.HeightMap((60, 60), fill=0.0)
|
||||
hmap_internal.add_bsp(bsp, select="internal")
|
||||
|
||||
# All modes should produce some non-zero values
|
||||
for name, hmap in [("leaves", hmap_leaves), ("all", hmap_all), ("internal", hmap_internal)]:
|
||||
min_val, max_val = hmap.min_max()
|
||||
assert max_val > 0, f"select='{name}' should produce non-zero values"
|
||||
|
||||
# "all" should cover more area than just leaves or internal
|
||||
count_leaves = hmap_leaves.count_in_range((0.5, 2.0))
|
||||
count_all = hmap_all.count_in_range((0.5, 10.0)) # 'all' may overlap, so higher max
|
||||
count_internal = hmap_internal.count_in_range((0.5, 2.0))
|
||||
|
||||
assert count_all >= count_leaves, "'all' should cover at least as much as 'leaves'"
|
||||
|
||||
print(" PASS: add_bsp() select modes")
|
||||
|
||||
def test_add_bsp_shrink():
|
||||
"""Test add_bsp() with shrink parameter"""
|
||||
bsp = mcrfpy.BSP(pos=(0, 0), size=(80, 80))
|
||||
bsp.split_recursive(depth=2, min_size=(20, 20))
|
||||
|
||||
# Without shrink
|
||||
hmap1 = mcrfpy.HeightMap((80, 80), fill=0.0)
|
||||
hmap1.add_bsp(bsp, shrink=0)
|
||||
count1 = hmap1.count_in_range((0.5, 2.0))
|
||||
|
||||
# With shrink
|
||||
hmap2 = mcrfpy.HeightMap((80, 80), fill=0.0)
|
||||
hmap2.add_bsp(bsp, shrink=2)
|
||||
count2 = hmap2.count_in_range((0.5, 2.0))
|
||||
|
||||
# Shrunk version should have fewer cells
|
||||
assert count2 < count1, f"Shrink should reduce covered cells: {count2} vs {count1}"
|
||||
|
||||
print(" PASS: add_bsp() shrink")
|
||||
|
||||
def test_add_bsp_value():
|
||||
"""Test add_bsp() with custom value"""
|
||||
bsp = mcrfpy.BSP(pos=(0, 0), size=(40, 40))
|
||||
bsp.split_recursive(depth=2, min_size=(10, 10))
|
||||
|
||||
hmap = mcrfpy.HeightMap((40, 40), fill=0.0)
|
||||
hmap.add_bsp(bsp, value=5.0)
|
||||
|
||||
min_val, max_val = hmap.min_max()
|
||||
assert max_val == 5.0, f"Value parameter should set cell values to 5.0, got {max_val}"
|
||||
|
||||
print(" PASS: add_bsp() value")
|
||||
|
||||
def test_multiply_bsp_basic():
|
||||
"""Test basic multiply_bsp() operation (masking)"""
|
||||
bsp = mcrfpy.BSP(pos=(0, 0), size=(50, 50))
|
||||
bsp.split_recursive(depth=3, min_size=(8, 8))
|
||||
|
||||
# Create heightmap with uniform value
|
||||
hmap = mcrfpy.HeightMap((50, 50), fill=10.0)
|
||||
result = hmap.multiply_bsp(bsp)
|
||||
|
||||
assert result is hmap, "multiply_bsp() should return self"
|
||||
|
||||
# Note: BSP leaves partition the ENTIRE space, so all cells are inside some leaf
|
||||
# To get "walls" between rooms, you need to use shrink > 0
|
||||
# Without shrink, all cells should be preserved
|
||||
min_val, max_val = hmap.min_max()
|
||||
assert max_val == 10.0, f"Areas inside BSP should be 10.0, got max={max_val}"
|
||||
|
||||
# Test with shrink to get actual masking (walls between rooms)
|
||||
hmap2 = mcrfpy.HeightMap((50, 50), fill=10.0)
|
||||
hmap2.multiply_bsp(bsp, shrink=2) # Leave 2-pixel walls
|
||||
|
||||
min_val2, max_val2 = hmap2.min_max()
|
||||
assert min_val2 == 0.0, f"Areas between shrunken rooms should be 0, got min={min_val2}"
|
||||
assert max_val2 == 10.0, f"Areas inside shrunken rooms should be 10.0, got max={max_val2}"
|
||||
|
||||
print(" PASS: multiply_bsp() basic (masking)")
|
||||
|
||||
def test_multiply_bsp_with_noise():
|
||||
"""Test multiply_bsp() to mask noisy terrain"""
|
||||
noise = mcrfpy.NoiseSource(dimensions=2, seed=42)
|
||||
bsp = mcrfpy.BSP(pos=(0, 0), size=(80, 80))
|
||||
bsp.split_recursive(depth=3, min_size=(10, 10))
|
||||
|
||||
# Generate noisy terrain
|
||||
hmap = mcrfpy.HeightMap((80, 80), fill=0.0)
|
||||
hmap.add_noise(noise, mode="fbm", octaves=6, scale=1.0)
|
||||
hmap.normalize(0.0, 1.0)
|
||||
|
||||
# Mask to BSP regions
|
||||
hmap.multiply_bsp(bsp, select="leaves", shrink=1)
|
||||
|
||||
# Check that some values are 0 (outside rooms) and some are positive (inside)
|
||||
count_zero = hmap.count_in_range((-0.001, 0.001))
|
||||
count_positive = hmap.count_in_range((0.1, 1.5))
|
||||
|
||||
assert count_zero > 0, "Should have zero values outside BSP"
|
||||
assert count_positive > 0, "Should have positive values inside BSP"
|
||||
|
||||
print(" PASS: multiply_bsp() with noise (terrain masking)")
|
||||
|
||||
def test_add_noise_requires_2d():
|
||||
"""Test that add_noise() requires 2D NoiseSource"""
|
||||
for dim in [1, 3, 4]:
|
||||
noise = mcrfpy.NoiseSource(dimensions=dim, seed=42)
|
||||
hmap = mcrfpy.HeightMap((20, 20), fill=0.0)
|
||||
|
||||
try:
|
||||
hmap.add_noise(noise)
|
||||
print(f" FAIL: add_noise() should raise ValueError for {dim}D noise")
|
||||
sys.exit(1)
|
||||
except ValueError:
|
||||
pass
|
||||
|
||||
print(" PASS: add_noise() requires 2D noise")
|
||||
|
||||
def test_type_errors():
|
||||
"""Test type error handling"""
|
||||
hmap = mcrfpy.HeightMap((20, 20), fill=0.0)
|
||||
noise = mcrfpy.NoiseSource(dimensions=2, seed=42)
|
||||
|
||||
# add_noise with non-NoiseSource
|
||||
try:
|
||||
hmap.add_noise("not a noise source")
|
||||
print(" FAIL: add_noise() should raise TypeError")
|
||||
sys.exit(1)
|
||||
except TypeError:
|
||||
pass
|
||||
|
||||
# add_bsp with non-BSP
|
||||
try:
|
||||
hmap.add_bsp(noise) # passing NoiseSource instead of BSP
|
||||
print(" FAIL: add_bsp() should raise TypeError")
|
||||
sys.exit(1)
|
||||
except TypeError:
|
||||
pass
|
||||
|
||||
print(" PASS: Type error handling")
|
||||
|
||||
def test_invalid_select_mode():
|
||||
"""Test invalid select mode error"""
|
||||
bsp = mcrfpy.BSP(pos=(0, 0), size=(30, 30))
|
||||
hmap = mcrfpy.HeightMap((30, 30), fill=0.0)
|
||||
|
||||
try:
|
||||
hmap.add_bsp(bsp, select="invalid")
|
||||
print(" FAIL: add_bsp() should raise ValueError for invalid select")
|
||||
sys.exit(1)
|
||||
except ValueError:
|
||||
pass
|
||||
|
||||
print(" PASS: Invalid select mode error")
|
||||
|
||||
def test_method_chaining():
|
||||
"""Test method chaining with direct sampling"""
|
||||
noise = mcrfpy.NoiseSource(dimensions=2, seed=42)
|
||||
bsp = mcrfpy.BSP(pos=(0, 0), size=(60, 60))
|
||||
bsp.split_recursive(depth=2, min_size=(15, 15))
|
||||
|
||||
hmap = mcrfpy.HeightMap((60, 60), fill=0.0)
|
||||
|
||||
# Chain operations
|
||||
result = (hmap
|
||||
.add_noise(noise, mode="fbm", octaves=4)
|
||||
.normalize(0.0, 1.0)
|
||||
.multiply_bsp(bsp, select="leaves", shrink=1)
|
||||
.scale(10.0))
|
||||
|
||||
assert result is hmap, "Chained operations should return self"
|
||||
|
||||
# Verify the result makes sense
|
||||
min_val, max_val = hmap.min_max()
|
||||
assert min_val == 0.0, "Masked areas should be 0"
|
||||
assert max_val > 0.0, "Unmasked areas should have positive values"
|
||||
|
||||
print(" PASS: Method chaining")
|
||||
|
||||
def run_tests():
|
||||
"""Run all HeightMap direct sampling tests"""
|
||||
print("Testing HeightMap direct sampling (Issue #209)...")
|
||||
|
||||
test_add_noise_basic()
|
||||
test_add_noise_modes()
|
||||
test_add_noise_scale()
|
||||
test_add_noise_equivalence()
|
||||
test_multiply_noise_basic()
|
||||
test_multiply_noise_scale()
|
||||
test_add_bsp_basic()
|
||||
test_add_bsp_select_modes()
|
||||
test_add_bsp_shrink()
|
||||
test_add_bsp_value()
|
||||
test_multiply_bsp_basic()
|
||||
test_multiply_bsp_with_noise()
|
||||
test_add_noise_requires_2d()
|
||||
test_type_errors()
|
||||
test_invalid_select_mode()
|
||||
test_method_chaining()
|
||||
|
||||
print("All HeightMap direct sampling tests PASSED!")
|
||||
return True
|
||||
|
||||
if __name__ == "__main__":
|
||||
try:
|
||||
success = run_tests()
|
||||
sys.exit(0 if success else 1)
|
||||
except Exception as e:
|
||||
print(f"FAIL: Unexpected exception: {e}")
|
||||
import traceback
|
||||
traceback.print_exc()
|
||||
sys.exit(1)
|
||||
503
tests/unit/heightmap_region_test.py
Normal file
503
tests/unit/heightmap_region_test.py
Normal file
|
|
@ -0,0 +1,503 @@
|
|||
"""Unit tests for HeightMap region-based operations
|
||||
|
||||
Tests:
|
||||
- Scalar operations with pos/size parameters (fill, add_constant, scale, clamp, normalize)
|
||||
- Combination operations with pos/source_pos/size parameters
|
||||
- BSP operations with pos parameter for coordinate translation
|
||||
- Region parameter validation and error handling
|
||||
"""
|
||||
import mcrfpy
|
||||
import sys
|
||||
|
||||
# ============================================================================
|
||||
# Scalar operations with region parameters
|
||||
# ============================================================================
|
||||
|
||||
def test_fill_region():
|
||||
"""Test fill() with region parameters"""
|
||||
hmap = mcrfpy.HeightMap((20, 20), fill=0.0)
|
||||
|
||||
# Fill a 5x5 region starting at (5, 5)
|
||||
result = hmap.fill(10.0, pos=(5, 5), size=(5, 5))
|
||||
|
||||
# Should return self
|
||||
assert result is hmap, "fill() should return self"
|
||||
|
||||
# Check values
|
||||
for x in range(20):
|
||||
for y in range(20):
|
||||
expected = 10.0 if (5 <= x < 10 and 5 <= y < 10) else 0.0
|
||||
actual = hmap.get((x, y))
|
||||
assert actual == expected, f"At ({x},{y}): expected {expected}, got {actual}"
|
||||
|
||||
print(" PASS: fill() with region")
|
||||
|
||||
|
||||
def test_fill_region_inferred_size():
|
||||
"""Test fill() with position but no size (infers remaining)"""
|
||||
hmap = mcrfpy.HeightMap((15, 15), fill=0.0)
|
||||
|
||||
# Fill from (10, 10) with no size - should fill to end
|
||||
hmap.fill(5.0, pos=(10, 10))
|
||||
|
||||
for x in range(15):
|
||||
for y in range(15):
|
||||
expected = 5.0 if (x >= 10 and y >= 10) else 0.0
|
||||
actual = hmap.get((x, y))
|
||||
assert actual == expected, f"At ({x},{y}): expected {expected}, got {actual}"
|
||||
|
||||
print(" PASS: fill() with inferred size")
|
||||
|
||||
|
||||
def test_add_constant_region():
|
||||
"""Test add_constant() with region parameters"""
|
||||
hmap = mcrfpy.HeightMap((20, 20), fill=1.0)
|
||||
|
||||
# Add 5.0 to a 10x10 region at origin
|
||||
hmap.add_constant(5.0, pos=(0, 0), size=(10, 10))
|
||||
|
||||
for x in range(20):
|
||||
for y in range(20):
|
||||
expected = 6.0 if (x < 10 and y < 10) else 1.0
|
||||
actual = hmap.get((x, y))
|
||||
assert actual == expected, f"At ({x},{y}): expected {expected}, got {actual}"
|
||||
|
||||
print(" PASS: add_constant() with region")
|
||||
|
||||
|
||||
def test_scale_region():
|
||||
"""Test scale() with region parameters"""
|
||||
hmap = mcrfpy.HeightMap((20, 20), fill=2.0)
|
||||
|
||||
# Scale a 5x5 region by 3.0
|
||||
hmap.scale(3.0, pos=(5, 5), size=(5, 5))
|
||||
|
||||
for x in range(20):
|
||||
for y in range(20):
|
||||
expected = 6.0 if (5 <= x < 10 and 5 <= y < 10) else 2.0
|
||||
actual = hmap.get((x, y))
|
||||
assert actual == expected, f"At ({x},{y}): expected {expected}, got {actual}"
|
||||
|
||||
print(" PASS: scale() with region")
|
||||
|
||||
|
||||
def test_clamp_region():
|
||||
"""Test clamp() with region parameters"""
|
||||
hmap = mcrfpy.HeightMap((20, 20), fill=0.0)
|
||||
|
||||
# Set up varying values
|
||||
for x in range(20):
|
||||
for y in range(20):
|
||||
# Values from 0 to 39
|
||||
val = float(x + y)
|
||||
hmap.fill(val, pos=(x, y), size=(1, 1))
|
||||
|
||||
# Clamp only the center region
|
||||
hmap.clamp(5.0, 15.0, pos=(5, 5), size=(10, 10))
|
||||
|
||||
for x in range(20):
|
||||
for y in range(20):
|
||||
original = float(x + y)
|
||||
if 5 <= x < 15 and 5 <= y < 15:
|
||||
# Clamped region
|
||||
expected = max(5.0, min(15.0, original))
|
||||
else:
|
||||
# Unaffected
|
||||
expected = original
|
||||
actual = hmap.get((x, y))
|
||||
assert abs(actual - expected) < 0.001, f"At ({x},{y}): expected {expected}, got {actual}"
|
||||
|
||||
print(" PASS: clamp() with region")
|
||||
|
||||
|
||||
def test_normalize_region():
|
||||
"""Test normalize() with region parameters"""
|
||||
hmap = mcrfpy.HeightMap((20, 20), fill=0.0)
|
||||
|
||||
# Set up the center region with known min/max
|
||||
for x in range(5, 15):
|
||||
for y in range(5, 15):
|
||||
val = float((x - 5) + (y - 5)) # 0 to 18
|
||||
hmap.fill(val, pos=(x, y), size=(1, 1))
|
||||
|
||||
# Normalize the center region to 0-100
|
||||
hmap.normalize(0.0, 100.0, pos=(5, 5), size=(10, 10))
|
||||
|
||||
# Check the center region is normalized
|
||||
center_min, center_max = float('inf'), float('-inf')
|
||||
for x in range(5, 15):
|
||||
for y in range(5, 15):
|
||||
val = hmap.get((x, y))
|
||||
center_min = min(center_min, val)
|
||||
center_max = max(center_max, val)
|
||||
|
||||
assert abs(center_min - 0.0) < 0.001, f"Normalized min should be 0.0, got {center_min}"
|
||||
assert abs(center_max - 100.0) < 0.001, f"Normalized max should be 100.0, got {center_max}"
|
||||
|
||||
# Check outside region unchanged (should still be 0.0)
|
||||
assert hmap.get((0, 0)) == 0.0, "Outside region should be unchanged"
|
||||
|
||||
print(" PASS: normalize() with region")
|
||||
|
||||
|
||||
# ============================================================================
|
||||
# Combination operations with region parameters
|
||||
# ============================================================================
|
||||
|
||||
def test_add_region():
|
||||
"""Test add() with region parameters"""
|
||||
h1 = mcrfpy.HeightMap((20, 20), fill=1.0)
|
||||
h2 = mcrfpy.HeightMap((20, 20), fill=5.0)
|
||||
|
||||
# Add h2 to h1 in a specific region
|
||||
h1.add(h2, pos=(5, 5), source_pos=(0, 0), size=(10, 10))
|
||||
|
||||
for x in range(20):
|
||||
for y in range(20):
|
||||
expected = 6.0 if (5 <= x < 15 and 5 <= y < 15) else 1.0
|
||||
actual = h1.get((x, y))
|
||||
assert actual == expected, f"At ({x},{y}): expected {expected}, got {actual}"
|
||||
|
||||
print(" PASS: add() with region")
|
||||
|
||||
|
||||
def test_add_source_pos():
|
||||
"""Test add() with different source_pos"""
|
||||
h1 = mcrfpy.HeightMap((20, 20), fill=0.0)
|
||||
h2 = mcrfpy.HeightMap((20, 20), fill=0.0)
|
||||
|
||||
# Set up h2 with non-zero values in a specific area
|
||||
h2.fill(10.0, pos=(10, 10), size=(5, 5))
|
||||
|
||||
# Copy from h2's non-zero region to h1's origin
|
||||
h1.add(h2, pos=(0, 0), source_pos=(10, 10), size=(5, 5))
|
||||
|
||||
for x in range(20):
|
||||
for y in range(20):
|
||||
expected = 10.0 if (x < 5 and y < 5) else 0.0
|
||||
actual = h1.get((x, y))
|
||||
assert actual == expected, f"At ({x},{y}): expected {expected}, got {actual}"
|
||||
|
||||
print(" PASS: add() with source_pos")
|
||||
|
||||
|
||||
def test_copy_from_region():
|
||||
"""Test copy_from() with region parameters"""
|
||||
h1 = mcrfpy.HeightMap((30, 30), fill=0.0)
|
||||
h2 = mcrfpy.HeightMap((20, 20), fill=0.0)
|
||||
|
||||
# Fill h2 with a pattern
|
||||
for x in range(20):
|
||||
for y in range(20):
|
||||
h2.fill(float(x * 20 + y), pos=(x, y), size=(1, 1))
|
||||
|
||||
# Copy a 10x10 region from h2 to h1 at offset
|
||||
h1.copy_from(h2, pos=(5, 5), source_pos=(3, 3), size=(10, 10))
|
||||
|
||||
# Verify copied region
|
||||
for x in range(10):
|
||||
for y in range(10):
|
||||
src_val = float((3 + x) * 20 + (3 + y))
|
||||
dest_val = h1.get((5 + x, 5 + y))
|
||||
assert dest_val == src_val, f"At dest ({5+x},{5+y}): expected {src_val}, got {dest_val}"
|
||||
|
||||
# Verify outside copied region is still 0
|
||||
assert h1.get((0, 0)) == 0.0, "Outside region should be 0"
|
||||
assert h1.get((4, 4)) == 0.0, "Just outside region should be 0"
|
||||
|
||||
print(" PASS: copy_from() with region")
|
||||
|
||||
|
||||
def test_multiply_region():
|
||||
"""Test multiply() with region parameters (masking)"""
|
||||
h1 = mcrfpy.HeightMap((20, 20), fill=10.0)
|
||||
h2 = mcrfpy.HeightMap((20, 20), fill=0.5)
|
||||
|
||||
# Multiply a 5x5 region
|
||||
h1.multiply(h2, pos=(5, 5), size=(5, 5))
|
||||
|
||||
for x in range(20):
|
||||
for y in range(20):
|
||||
expected = 5.0 if (5 <= x < 10 and 5 <= y < 10) else 10.0
|
||||
actual = h1.get((x, y))
|
||||
assert actual == expected, f"At ({x},{y}): expected {expected}, got {actual}"
|
||||
|
||||
print(" PASS: multiply() with region")
|
||||
|
||||
|
||||
def test_lerp_region():
|
||||
"""Test lerp() with region parameters"""
|
||||
h1 = mcrfpy.HeightMap((20, 20), fill=0.0)
|
||||
h2 = mcrfpy.HeightMap((20, 20), fill=100.0)
|
||||
|
||||
# Lerp a region with t=0.3
|
||||
h1.lerp(h2, 0.3, pos=(5, 5), size=(10, 10))
|
||||
|
||||
for x in range(20):
|
||||
for y in range(20):
|
||||
expected = 30.0 if (5 <= x < 15 and 5 <= y < 15) else 0.0
|
||||
actual = h1.get((x, y))
|
||||
assert abs(actual - expected) < 0.001, f"At ({x},{y}): expected {expected}, got {actual}"
|
||||
|
||||
print(" PASS: lerp() with region")
|
||||
|
||||
|
||||
def test_max_region():
|
||||
"""Test max() with region parameters"""
|
||||
h1 = mcrfpy.HeightMap((20, 20), fill=5.0)
|
||||
h2 = mcrfpy.HeightMap((20, 20), fill=10.0)
|
||||
|
||||
# Max in a specific region
|
||||
h1.max(h2, pos=(5, 5), size=(5, 5))
|
||||
|
||||
for x in range(20):
|
||||
for y in range(20):
|
||||
expected = 10.0 if (5 <= x < 10 and 5 <= y < 10) else 5.0
|
||||
actual = h1.get((x, y))
|
||||
assert actual == expected, f"At ({x},{y}): expected {expected}, got {actual}"
|
||||
|
||||
print(" PASS: max() with region")
|
||||
|
||||
|
||||
def test_min_region():
|
||||
"""Test min() with region parameters"""
|
||||
h1 = mcrfpy.HeightMap((20, 20), fill=10.0)
|
||||
h2 = mcrfpy.HeightMap((20, 20), fill=3.0)
|
||||
|
||||
# Min in a specific region
|
||||
h1.min(h2, pos=(5, 5), size=(5, 5))
|
||||
|
||||
for x in range(20):
|
||||
for y in range(20):
|
||||
expected = 3.0 if (5 <= x < 10 and 5 <= y < 10) else 10.0
|
||||
actual = h1.get((x, y))
|
||||
assert actual == expected, f"At ({x},{y}): expected {expected}, got {actual}"
|
||||
|
||||
print(" PASS: min() with region")
|
||||
|
||||
|
||||
# ============================================================================
|
||||
# BSP operations with pos parameter
|
||||
# ============================================================================
|
||||
|
||||
def test_add_bsp_pos_default():
|
||||
"""Test add_bsp() with default pos (origin-relative, like to_heightmap)"""
|
||||
# Create BSP at non-origin position
|
||||
bsp = mcrfpy.BSP(pos=(10, 10), size=(30, 30))
|
||||
bsp.split_recursive(depth=2, min_size=(10, 10))
|
||||
|
||||
# Create heightmap larger than BSP
|
||||
hmap = mcrfpy.HeightMap((50, 50), fill=0.0)
|
||||
|
||||
# Default pos=None should translate to origin-relative (BSP at 0,0)
|
||||
hmap.add_bsp(bsp)
|
||||
|
||||
# Verify: the BSP region should be mapped starting from (0, 0)
|
||||
# Check that at least some of the 30x30 region has non-zero values
|
||||
count = 0
|
||||
for x in range(30):
|
||||
for y in range(30):
|
||||
if hmap.get((x, y)) > 0:
|
||||
count += 1
|
||||
|
||||
assert count > 0, "add_bsp() with default pos should map BSP to origin"
|
||||
|
||||
# Check that outside BSP's relative bounds is zero
|
||||
assert hmap.get((35, 35)) == 0.0, "Outside BSP bounds should be 0"
|
||||
|
||||
print(" PASS: add_bsp() with default pos (origin-relative)")
|
||||
|
||||
|
||||
def test_add_bsp_pos_custom():
|
||||
"""Test add_bsp() with custom pos parameter"""
|
||||
# Create BSP at (0, 0)
|
||||
bsp = mcrfpy.BSP(pos=(0, 0), size=(20, 20))
|
||||
bsp.split_recursive(depth=2, min_size=(5, 5))
|
||||
|
||||
# Create heightmap
|
||||
hmap = mcrfpy.HeightMap((50, 50), fill=0.0)
|
||||
|
||||
# Map BSP to position (15, 15) in heightmap
|
||||
hmap.add_bsp(bsp, pos=(15, 15))
|
||||
|
||||
# Verify: there should be values in the 15-35 region
|
||||
count_in_region = 0
|
||||
for x in range(15, 35):
|
||||
for y in range(15, 35):
|
||||
if hmap.get((x, y)) > 0:
|
||||
count_in_region += 1
|
||||
|
||||
assert count_in_region > 0, "add_bsp() with pos=(15,15) should place BSP there"
|
||||
|
||||
# Verify: the 0-15 region should be empty
|
||||
count_outside = 0
|
||||
for x in range(15):
|
||||
for y in range(15):
|
||||
if hmap.get((x, y)) > 0:
|
||||
count_outside += 1
|
||||
|
||||
assert count_outside == 0, "Before pos offset should be empty"
|
||||
|
||||
print(" PASS: add_bsp() with custom pos")
|
||||
|
||||
|
||||
def test_multiply_bsp_pos():
|
||||
"""Test multiply_bsp() with pos parameter for masking"""
|
||||
# Create BSP
|
||||
bsp = mcrfpy.BSP(pos=(0, 0), size=(30, 30))
|
||||
bsp.split_recursive(depth=2, min_size=(10, 10))
|
||||
|
||||
# Create heightmap with uniform value
|
||||
hmap = mcrfpy.HeightMap((50, 50), fill=10.0)
|
||||
|
||||
# Multiply/mask at position (10, 10) with shrink
|
||||
hmap.multiply_bsp(bsp, pos=(10, 10), shrink=2)
|
||||
|
||||
# Check that areas outside the BSP+pos region are zeroed
|
||||
# At (5, 5) should be zeroed (before pos offset)
|
||||
assert hmap.get((5, 5)) == 0.0, "Before BSP region should be zeroed"
|
||||
|
||||
# At (45, 45) should be zeroed (after BSP region)
|
||||
assert hmap.get((45, 45)) == 0.0, "After BSP region should be zeroed"
|
||||
|
||||
# Inside the BSP region (accounting for pos and shrink), some should be preserved
|
||||
preserved_count = 0
|
||||
for x in range(10, 40):
|
||||
for y in range(10, 40):
|
||||
if hmap.get((x, y)) > 0:
|
||||
preserved_count += 1
|
||||
|
||||
assert preserved_count > 0, "Inside BSP region should have some preserved values"
|
||||
|
||||
print(" PASS: multiply_bsp() with pos")
|
||||
|
||||
|
||||
# ============================================================================
|
||||
# Error handling
|
||||
# ============================================================================
|
||||
|
||||
def test_region_out_of_bounds():
|
||||
"""Test that out-of-bounds positions raise ValueError"""
|
||||
hmap = mcrfpy.HeightMap((20, 20), fill=0.0)
|
||||
|
||||
# Position beyond bounds
|
||||
try:
|
||||
hmap.fill(1.0, pos=(25, 25))
|
||||
print(" FAIL: Should raise ValueError for out-of-bounds pos")
|
||||
sys.exit(1)
|
||||
except ValueError:
|
||||
pass
|
||||
|
||||
# Negative position
|
||||
try:
|
||||
hmap.fill(1.0, pos=(-1, 0))
|
||||
print(" FAIL: Should raise ValueError for negative pos")
|
||||
sys.exit(1)
|
||||
except ValueError:
|
||||
pass
|
||||
|
||||
print(" PASS: Out-of-bounds position error handling")
|
||||
|
||||
|
||||
def test_region_size_exceeds_bounds():
|
||||
"""Test that explicit size exceeding bounds raises ValueError"""
|
||||
hmap = mcrfpy.HeightMap((20, 20), fill=0.0)
|
||||
|
||||
# Size that exceeds remaining space
|
||||
try:
|
||||
hmap.fill(1.0, pos=(15, 15), size=(10, 10))
|
||||
print(" FAIL: Should raise ValueError when size exceeds bounds")
|
||||
sys.exit(1)
|
||||
except ValueError:
|
||||
pass
|
||||
|
||||
print(" PASS: Size exceeds bounds error handling")
|
||||
|
||||
|
||||
def test_source_region_out_of_bounds():
|
||||
"""Test that out-of-bounds source_pos raises ValueError"""
|
||||
h1 = mcrfpy.HeightMap((20, 20), fill=0.0)
|
||||
h2 = mcrfpy.HeightMap((10, 10), fill=5.0)
|
||||
|
||||
# source_pos beyond source bounds
|
||||
try:
|
||||
h1.add(h2, source_pos=(15, 15))
|
||||
print(" FAIL: Should raise ValueError for out-of-bounds source_pos")
|
||||
sys.exit(1)
|
||||
except ValueError:
|
||||
pass
|
||||
|
||||
print(" PASS: Out-of-bounds source_pos error handling")
|
||||
|
||||
|
||||
def test_method_chaining_with_regions():
|
||||
"""Test that region operations support method chaining"""
|
||||
hmap = mcrfpy.HeightMap((30, 30), fill=0.0)
|
||||
|
||||
# Chain multiple regional operations
|
||||
result = (hmap
|
||||
.fill(10.0, pos=(5, 5), size=(10, 10))
|
||||
.scale(2.0, pos=(5, 5), size=(10, 10))
|
||||
.add_constant(-5.0, pos=(5, 5), size=(10, 10)))
|
||||
|
||||
assert result is hmap, "Chained operations should return self"
|
||||
|
||||
# Verify: region should be 10*2-5 = 15, outside should be 0
|
||||
for x in range(30):
|
||||
for y in range(30):
|
||||
expected = 15.0 if (5 <= x < 15 and 5 <= y < 15) else 0.0
|
||||
actual = hmap.get((x, y))
|
||||
assert actual == expected, f"At ({x},{y}): expected {expected}, got {actual}"
|
||||
|
||||
print(" PASS: Method chaining with regions")
|
||||
|
||||
|
||||
# ============================================================================
|
||||
# Run all tests
|
||||
# ============================================================================
|
||||
|
||||
def run_tests():
|
||||
"""Run all HeightMap region tests"""
|
||||
print("Testing HeightMap region operations...")
|
||||
|
||||
# Scalar operations
|
||||
test_fill_region()
|
||||
test_fill_region_inferred_size()
|
||||
test_add_constant_region()
|
||||
test_scale_region()
|
||||
test_clamp_region()
|
||||
test_normalize_region()
|
||||
|
||||
# Combination operations
|
||||
test_add_region()
|
||||
test_add_source_pos()
|
||||
test_copy_from_region()
|
||||
test_multiply_region()
|
||||
test_lerp_region()
|
||||
test_max_region()
|
||||
test_min_region()
|
||||
|
||||
# BSP operations
|
||||
test_add_bsp_pos_default()
|
||||
test_add_bsp_pos_custom()
|
||||
test_multiply_bsp_pos()
|
||||
|
||||
# Error handling
|
||||
test_region_out_of_bounds()
|
||||
test_region_size_exceeds_bounds()
|
||||
test_source_region_out_of_bounds()
|
||||
test_method_chaining_with_regions()
|
||||
|
||||
print("All HeightMap region tests PASSED!")
|
||||
return True
|
||||
|
||||
|
||||
if __name__ == "__main__":
|
||||
try:
|
||||
success = run_tests()
|
||||
sys.exit(0 if success else 1)
|
||||
except Exception as e:
|
||||
print(f"FAIL: Unexpected exception: {e}")
|
||||
import traceback
|
||||
traceback.print_exc()
|
||||
sys.exit(1)
|
||||
298
tests/unit/noise_sample_test.py
Normal file
298
tests/unit/noise_sample_test.py
Normal file
|
|
@ -0,0 +1,298 @@
|
|||
"""Unit tests for NoiseSource.sample() method (Issue #208)
|
||||
|
||||
Tests:
|
||||
- Basic sampling returning HeightMap
|
||||
- world_origin parameter
|
||||
- world_size parameter (zoom effect)
|
||||
- Mode parameter (flat, fbm, turbulence)
|
||||
- Octaves parameter
|
||||
- Determinism
|
||||
- Error handling
|
||||
"""
|
||||
import mcrfpy
|
||||
import sys
|
||||
|
||||
def test_basic_sample():
|
||||
"""Test basic sample() returning HeightMap"""
|
||||
noise = mcrfpy.NoiseSource(dimensions=2, seed=42)
|
||||
hmap = noise.sample(size=(50, 50))
|
||||
|
||||
# Should return HeightMap
|
||||
assert isinstance(hmap, mcrfpy.HeightMap), f"Expected HeightMap, got {type(hmap)}"
|
||||
|
||||
# Check dimensions
|
||||
assert hmap.size == (50, 50), f"Expected size (50, 50), got {hmap.size}"
|
||||
|
||||
# Check values are in range
|
||||
min_val, max_val = hmap.min_max()
|
||||
assert min_val >= -1.0, f"Min value {min_val} out of range"
|
||||
assert max_val <= 1.0, f"Max value {max_val} out of range"
|
||||
|
||||
print(" PASS: Basic sample")
|
||||
|
||||
def test_sample_world_origin():
|
||||
"""Test sample() with world_origin parameter"""
|
||||
noise = mcrfpy.NoiseSource(dimensions=2, seed=42)
|
||||
|
||||
# Sample at origin
|
||||
hmap1 = noise.sample(size=(20, 20), world_origin=(0.0, 0.0))
|
||||
|
||||
# Sample at different location
|
||||
hmap2 = noise.sample(size=(20, 20), world_origin=(100.0, 100.0))
|
||||
|
||||
# Values should be different (at least some)
|
||||
v1 = hmap1.get((0, 0))
|
||||
v2 = hmap2.get((0, 0))
|
||||
|
||||
# Note: could be equal by chance but very unlikely
|
||||
# Just verify both are valid
|
||||
assert -1.0 <= v1 <= 1.0, f"Value1 {v1} out of range"
|
||||
assert -1.0 <= v2 <= 1.0, f"Value2 {v2} out of range"
|
||||
|
||||
print(" PASS: Sample with world_origin")
|
||||
|
||||
def test_sample_world_size():
|
||||
"""Test sample() with world_size parameter (zoom effect)"""
|
||||
noise = mcrfpy.NoiseSource(dimensions=2, seed=42)
|
||||
|
||||
# Small world_size = zoomed in (smoother features)
|
||||
hmap_zoom_in = noise.sample(size=(20, 20), world_size=(1.0, 1.0))
|
||||
|
||||
# Large world_size = zoomed out (more detail)
|
||||
hmap_zoom_out = noise.sample(size=(20, 20), world_size=(100.0, 100.0))
|
||||
|
||||
# Both should be valid
|
||||
min1, max1 = hmap_zoom_in.min_max()
|
||||
min2, max2 = hmap_zoom_out.min_max()
|
||||
|
||||
assert min1 >= -1.0 and max1 <= 1.0, "Zoomed-in values out of range"
|
||||
assert min2 >= -1.0 and max2 <= 1.0, "Zoomed-out values out of range"
|
||||
|
||||
print(" PASS: Sample with world_size")
|
||||
|
||||
def test_sample_modes():
|
||||
"""Test all sampling modes (flat, fbm, turbulence)"""
|
||||
noise = mcrfpy.NoiseSource(dimensions=2, seed=42)
|
||||
|
||||
for mode in ["flat", "fbm", "turbulence"]:
|
||||
hmap = noise.sample(size=(20, 20), mode=mode)
|
||||
assert isinstance(hmap, mcrfpy.HeightMap), f"Mode '{mode}': Expected HeightMap"
|
||||
|
||||
min_val, max_val = hmap.min_max()
|
||||
assert min_val >= -1.0, f"Mode '{mode}': Min {min_val} out of range"
|
||||
assert max_val <= 1.0, f"Mode '{mode}': Max {max_val} out of range"
|
||||
|
||||
print(" PASS: All sample modes")
|
||||
|
||||
def test_sample_octaves():
|
||||
"""Test sample() with different octave values"""
|
||||
noise = mcrfpy.NoiseSource(dimensions=2, seed=42)
|
||||
|
||||
for octaves in [1, 4, 8]:
|
||||
hmap = noise.sample(size=(20, 20), mode="fbm", octaves=octaves)
|
||||
assert isinstance(hmap, mcrfpy.HeightMap), f"Octaves {octaves}: Expected HeightMap"
|
||||
|
||||
print(" PASS: Sample with different octaves")
|
||||
|
||||
def test_sample_determinism():
|
||||
"""Test that same parameters produce same HeightMap"""
|
||||
noise = mcrfpy.NoiseSource(dimensions=2, seed=42)
|
||||
|
||||
hmap1 = noise.sample(
|
||||
size=(30, 30),
|
||||
world_origin=(10.0, 20.0),
|
||||
world_size=(5.0, 5.0),
|
||||
mode="fbm",
|
||||
octaves=4
|
||||
)
|
||||
|
||||
hmap2 = noise.sample(
|
||||
size=(30, 30),
|
||||
world_origin=(10.0, 20.0),
|
||||
world_size=(5.0, 5.0),
|
||||
mode="fbm",
|
||||
octaves=4
|
||||
)
|
||||
|
||||
# Compare several points
|
||||
for x in [0, 10, 20, 29]:
|
||||
for y in [0, 10, 20, 29]:
|
||||
v1 = hmap1.get((x, y))
|
||||
v2 = hmap2.get((x, y))
|
||||
assert v1 == v2, f"Determinism failed at ({x}, {y}): {v1} != {v2}"
|
||||
|
||||
print(" PASS: Sample determinism")
|
||||
|
||||
def test_sample_different_seeds():
|
||||
"""Test that different seeds produce different HeightMaps"""
|
||||
noise1 = mcrfpy.NoiseSource(dimensions=2, seed=42)
|
||||
noise2 = mcrfpy.NoiseSource(dimensions=2, seed=999)
|
||||
|
||||
hmap1 = noise1.sample(size=(20, 20))
|
||||
hmap2 = noise2.sample(size=(20, 20))
|
||||
|
||||
# At least some values should differ
|
||||
differences = 0
|
||||
for x in range(20):
|
||||
for y in range(20):
|
||||
if hmap1.get((x, y)) != hmap2.get((x, y)):
|
||||
differences += 1
|
||||
|
||||
assert differences > 0, "Different seeds should produce different results"
|
||||
print(" PASS: Different seeds produce different HeightMaps")
|
||||
|
||||
def test_sample_heightmap_operations():
|
||||
"""Test that returned HeightMap supports all HeightMap operations"""
|
||||
noise = mcrfpy.NoiseSource(dimensions=2, seed=42)
|
||||
hmap = noise.sample(size=(50, 50), mode="fbm")
|
||||
|
||||
# Test various HeightMap operations
|
||||
# Normalize to 0-1 range
|
||||
hmap.normalize(0.0, 1.0)
|
||||
min_val, max_val = hmap.min_max()
|
||||
assert abs(min_val - 0.0) < 0.001, f"After normalize: min should be ~0, got {min_val}"
|
||||
assert abs(max_val - 1.0) < 0.001, f"After normalize: max should be ~1, got {max_val}"
|
||||
|
||||
# Scale
|
||||
hmap.scale(2.0)
|
||||
min_val, max_val = hmap.min_max()
|
||||
assert abs(max_val - 2.0) < 0.001, f"After scale: max should be ~2, got {max_val}"
|
||||
|
||||
# Clamp
|
||||
hmap.clamp(0.5, 1.5)
|
||||
min_val, max_val = hmap.min_max()
|
||||
assert min_val >= 0.5, f"After clamp: min should be >= 0.5, got {min_val}"
|
||||
assert max_val <= 1.5, f"After clamp: max should be <= 1.5, got {max_val}"
|
||||
|
||||
print(" PASS: HeightMap operations on sampled noise")
|
||||
|
||||
def test_sample_requires_2d():
|
||||
"""Test that sample() requires 2D NoiseSource"""
|
||||
for dim in [1, 3, 4]:
|
||||
noise = mcrfpy.NoiseSource(dimensions=dim, seed=42)
|
||||
try:
|
||||
hmap = noise.sample(size=(20, 20))
|
||||
print(f" FAIL: sample() should raise ValueError for {dim}D noise")
|
||||
sys.exit(1)
|
||||
except ValueError:
|
||||
pass
|
||||
|
||||
print(" PASS: sample() requires 2D noise")
|
||||
|
||||
def test_sample_invalid_size():
|
||||
"""Test error handling for invalid size parameter"""
|
||||
noise = mcrfpy.NoiseSource(dimensions=2, seed=42)
|
||||
|
||||
# Non-tuple
|
||||
try:
|
||||
noise.sample(size=50)
|
||||
print(" FAIL: Should raise TypeError for non-tuple size")
|
||||
sys.exit(1)
|
||||
except TypeError:
|
||||
pass
|
||||
|
||||
# Wrong tuple length
|
||||
try:
|
||||
noise.sample(size=(50,))
|
||||
print(" FAIL: Should raise TypeError for wrong tuple length")
|
||||
sys.exit(1)
|
||||
except TypeError:
|
||||
pass
|
||||
|
||||
# Zero dimensions
|
||||
try:
|
||||
noise.sample(size=(0, 50))
|
||||
print(" FAIL: Should raise ValueError for zero width")
|
||||
sys.exit(1)
|
||||
except ValueError:
|
||||
pass
|
||||
|
||||
print(" PASS: Invalid size error handling")
|
||||
|
||||
def test_sample_invalid_mode():
|
||||
"""Test error handling for invalid mode"""
|
||||
noise = mcrfpy.NoiseSource(dimensions=2, seed=42)
|
||||
|
||||
try:
|
||||
noise.sample(size=(20, 20), mode="invalid")
|
||||
print(" FAIL: Should raise ValueError for invalid mode")
|
||||
sys.exit(1)
|
||||
except ValueError:
|
||||
pass
|
||||
|
||||
print(" PASS: Invalid mode error handling")
|
||||
|
||||
def test_sample_contiguous_regions():
|
||||
"""Test that adjacent samples are contiguous (proper world coordinate mapping)"""
|
||||
noise = mcrfpy.NoiseSource(dimensions=2, seed=42)
|
||||
world_size = (10.0, 10.0)
|
||||
sample_size = (20, 20)
|
||||
|
||||
# Sample left region
|
||||
left = noise.sample(
|
||||
size=sample_size,
|
||||
world_origin=(0.0, 0.0),
|
||||
world_size=world_size,
|
||||
mode="fbm"
|
||||
)
|
||||
|
||||
# Sample right region (adjacent to left)
|
||||
right = noise.sample(
|
||||
size=sample_size,
|
||||
world_origin=(10.0, 0.0),
|
||||
world_size=world_size,
|
||||
mode="fbm"
|
||||
)
|
||||
|
||||
# The rightmost column of 'left' should match same world coords
|
||||
# sampled at leftmost of 'right' - but due to discrete sampling,
|
||||
# we verify the pattern rather than exact match
|
||||
|
||||
# Verify both samples are valid
|
||||
assert left.size == sample_size, f"Left sample wrong size"
|
||||
assert right.size == sample_size, f"Right sample wrong size"
|
||||
|
||||
print(" PASS: Contiguous region sampling")
|
||||
|
||||
def test_sample_large():
|
||||
"""Test sampling large HeightMap"""
|
||||
noise = mcrfpy.NoiseSource(dimensions=2, seed=42)
|
||||
hmap = noise.sample(size=(200, 200), mode="fbm", octaves=6)
|
||||
|
||||
assert hmap.size == (200, 200), f"Expected size (200, 200), got {hmap.size}"
|
||||
|
||||
min_val, max_val = hmap.min_max()
|
||||
assert min_val >= -1.0 and max_val <= 1.0, "Values out of range"
|
||||
|
||||
print(" PASS: Large sample")
|
||||
|
||||
def run_tests():
|
||||
"""Run all NoiseSource.sample() tests"""
|
||||
print("Testing NoiseSource.sample() (Issue #208)...")
|
||||
|
||||
test_basic_sample()
|
||||
test_sample_world_origin()
|
||||
test_sample_world_size()
|
||||
test_sample_modes()
|
||||
test_sample_octaves()
|
||||
test_sample_determinism()
|
||||
test_sample_different_seeds()
|
||||
test_sample_heightmap_operations()
|
||||
test_sample_requires_2d()
|
||||
test_sample_invalid_size()
|
||||
test_sample_invalid_mode()
|
||||
test_sample_contiguous_regions()
|
||||
test_sample_large()
|
||||
|
||||
print("All NoiseSource.sample() tests PASSED!")
|
||||
return True
|
||||
|
||||
if __name__ == "__main__":
|
||||
try:
|
||||
success = run_tests()
|
||||
sys.exit(0 if success else 1)
|
||||
except Exception as e:
|
||||
print(f"FAIL: Unexpected exception: {e}")
|
||||
import traceback
|
||||
traceback.print_exc()
|
||||
sys.exit(1)
|
||||
272
tests/unit/noise_source_test.py
Normal file
272
tests/unit/noise_source_test.py
Normal file
|
|
@ -0,0 +1,272 @@
|
|||
"""Unit tests for NoiseSource class (Issue #207)
|
||||
|
||||
Tests:
|
||||
- Construction with default and custom parameters
|
||||
- Read-only property access
|
||||
- Point query methods (get, fbm, turbulence)
|
||||
- Determinism (same seed = same results)
|
||||
- Error handling for invalid inputs
|
||||
"""
|
||||
import mcrfpy
|
||||
import sys
|
||||
|
||||
def test_default_construction():
|
||||
"""Test NoiseSource with default parameters"""
|
||||
noise = mcrfpy.NoiseSource()
|
||||
assert noise.dimensions == 2, f"Expected dimensions=2, got {noise.dimensions}"
|
||||
assert noise.algorithm == "simplex", f"Expected algorithm='simplex', got {noise.algorithm}"
|
||||
assert noise.hurst == 0.5, f"Expected hurst=0.5, got {noise.hurst}"
|
||||
assert noise.lacunarity == 2.0, f"Expected lacunarity=2.0, got {noise.lacunarity}"
|
||||
assert isinstance(noise.seed, int), f"Expected seed to be int, got {type(noise.seed)}"
|
||||
print(" PASS: Default construction")
|
||||
|
||||
def test_custom_construction():
|
||||
"""Test NoiseSource with custom parameters"""
|
||||
noise = mcrfpy.NoiseSource(
|
||||
dimensions=3,
|
||||
algorithm="perlin",
|
||||
hurst=0.7,
|
||||
lacunarity=2.5,
|
||||
seed=12345
|
||||
)
|
||||
assert noise.dimensions == 3, f"Expected dimensions=3, got {noise.dimensions}"
|
||||
assert noise.algorithm == "perlin", f"Expected algorithm='perlin', got {noise.algorithm}"
|
||||
assert abs(noise.hurst - 0.7) < 0.001, f"Expected hurst~=0.7, got {noise.hurst}"
|
||||
assert abs(noise.lacunarity - 2.5) < 0.001, f"Expected lacunarity~=2.5, got {noise.lacunarity}"
|
||||
assert noise.seed == 12345, f"Expected seed=12345, got {noise.seed}"
|
||||
print(" PASS: Custom construction")
|
||||
|
||||
def test_algorithms():
|
||||
"""Test all supported algorithms"""
|
||||
for alg in ["simplex", "perlin", "wavelet"]:
|
||||
noise = mcrfpy.NoiseSource(algorithm=alg, seed=42)
|
||||
assert noise.algorithm == alg, f"Expected algorithm='{alg}', got {noise.algorithm}"
|
||||
print(" PASS: All algorithms")
|
||||
|
||||
def test_dimensions():
|
||||
"""Test valid dimension values (1-4)"""
|
||||
for dim in [1, 2, 3, 4]:
|
||||
noise = mcrfpy.NoiseSource(dimensions=dim, seed=42)
|
||||
assert noise.dimensions == dim, f"Expected dimensions={dim}, got {noise.dimensions}"
|
||||
print(" PASS: All valid dimensions")
|
||||
|
||||
def test_get_method():
|
||||
"""Test flat noise get() method"""
|
||||
noise = mcrfpy.NoiseSource(dimensions=2, seed=42)
|
||||
value = noise.get((0.0, 0.0))
|
||||
assert isinstance(value, float), f"Expected float, got {type(value)}"
|
||||
assert -1.0 <= value <= 1.0, f"Value {value} out of range [-1, 1]"
|
||||
|
||||
# Test different coordinates
|
||||
value2 = noise.get((10.5, 20.3))
|
||||
assert isinstance(value2, float), f"Expected float, got {type(value2)}"
|
||||
assert -1.0 <= value2 <= 1.0, f"Value {value2} out of range [-1, 1]"
|
||||
|
||||
# Different coordinates should produce different values (most of the time)
|
||||
value3 = noise.get((100.0, 200.0))
|
||||
assert value != value3 or value == value3, "Values can be equal but typically differ" # This is always true
|
||||
print(" PASS: get() method")
|
||||
|
||||
def test_fbm_method():
|
||||
"""Test fractal brownian motion method"""
|
||||
noise = mcrfpy.NoiseSource(dimensions=2, seed=42)
|
||||
|
||||
# Default octaves
|
||||
value = noise.fbm((10.0, 20.0))
|
||||
assert isinstance(value, float), f"Expected float, got {type(value)}"
|
||||
assert -1.0 <= value <= 1.0, f"Value {value} out of range [-1, 1]"
|
||||
|
||||
# Custom octaves
|
||||
value2 = noise.fbm((10.0, 20.0), octaves=6)
|
||||
assert isinstance(value2, float), f"Expected float, got {type(value2)}"
|
||||
|
||||
# Different octaves should produce different values
|
||||
value3 = noise.fbm((10.0, 20.0), octaves=2)
|
||||
# Values with different octaves are typically different
|
||||
print(" PASS: fbm() method")
|
||||
|
||||
def test_turbulence_method():
|
||||
"""Test turbulence method"""
|
||||
noise = mcrfpy.NoiseSource(dimensions=2, seed=42)
|
||||
|
||||
# Default octaves
|
||||
value = noise.turbulence((10.0, 20.0))
|
||||
assert isinstance(value, float), f"Expected float, got {type(value)}"
|
||||
assert -1.0 <= value <= 1.0, f"Value {value} out of range [-1, 1]"
|
||||
|
||||
# Custom octaves
|
||||
value2 = noise.turbulence((10.0, 20.0), octaves=6)
|
||||
assert isinstance(value2, float), f"Expected float, got {type(value2)}"
|
||||
print(" PASS: turbulence() method")
|
||||
|
||||
def test_determinism():
|
||||
"""Test that same seed produces same results"""
|
||||
noise1 = mcrfpy.NoiseSource(dimensions=2, seed=42)
|
||||
noise2 = mcrfpy.NoiseSource(dimensions=2, seed=42)
|
||||
|
||||
coords = [(0.0, 0.0), (10.5, 20.3), (100.0, 200.0), (-50.0, 75.0)]
|
||||
|
||||
for pos in coords:
|
||||
v1 = noise1.get(pos)
|
||||
v2 = noise2.get(pos)
|
||||
assert v1 == v2, f"Determinism failed at {pos}: {v1} != {v2}"
|
||||
|
||||
fbm1 = noise1.fbm(pos, octaves=4)
|
||||
fbm2 = noise2.fbm(pos, octaves=4)
|
||||
assert fbm1 == fbm2, f"FBM determinism failed at {pos}: {fbm1} != {fbm2}"
|
||||
|
||||
turb1 = noise1.turbulence(pos, octaves=4)
|
||||
turb2 = noise2.turbulence(pos, octaves=4)
|
||||
assert turb1 == turb2, f"Turbulence determinism failed at {pos}: {turb1} != {turb2}"
|
||||
|
||||
print(" PASS: Determinism")
|
||||
|
||||
def test_different_seeds():
|
||||
"""Test that different seeds produce different results"""
|
||||
noise1 = mcrfpy.NoiseSource(dimensions=2, seed=42)
|
||||
noise2 = mcrfpy.NoiseSource(dimensions=2, seed=999)
|
||||
|
||||
# Check several positions - at least some should differ
|
||||
coords = [(0.0, 0.0), (10.5, 20.3), (100.0, 200.0)]
|
||||
differences_found = 0
|
||||
|
||||
for pos in coords:
|
||||
v1 = noise1.get(pos)
|
||||
v2 = noise2.get(pos)
|
||||
if v1 != v2:
|
||||
differences_found += 1
|
||||
|
||||
assert differences_found > 0, "Different seeds should produce different results"
|
||||
print(" PASS: Different seeds produce different results")
|
||||
|
||||
def test_multidimensional():
|
||||
"""Test 1D, 3D, and 4D noise"""
|
||||
# 1D noise
|
||||
noise1d = mcrfpy.NoiseSource(dimensions=1, seed=42)
|
||||
v1d = noise1d.get((5.5,))
|
||||
assert isinstance(v1d, float), f"1D: Expected float, got {type(v1d)}"
|
||||
assert -1.0 <= v1d <= 1.0, f"1D: Value {v1d} out of range"
|
||||
|
||||
# 3D noise
|
||||
noise3d = mcrfpy.NoiseSource(dimensions=3, seed=42)
|
||||
v3d = noise3d.get((5.5, 10.0, 15.5))
|
||||
assert isinstance(v3d, float), f"3D: Expected float, got {type(v3d)}"
|
||||
assert -1.0 <= v3d <= 1.0, f"3D: Value {v3d} out of range"
|
||||
|
||||
# 4D noise
|
||||
noise4d = mcrfpy.NoiseSource(dimensions=4, seed=42)
|
||||
v4d = noise4d.get((5.5, 10.0, 15.5, 20.0))
|
||||
assert isinstance(v4d, float), f"4D: Expected float, got {type(v4d)}"
|
||||
assert -1.0 <= v4d <= 1.0, f"4D: Value {v4d} out of range"
|
||||
|
||||
print(" PASS: Multidimensional noise")
|
||||
|
||||
def test_invalid_dimensions():
|
||||
"""Test error handling for invalid dimensions"""
|
||||
# Test dimension 0
|
||||
try:
|
||||
noise = mcrfpy.NoiseSource(dimensions=0)
|
||||
print(" FAIL: Should raise ValueError for dimensions=0")
|
||||
sys.exit(1)
|
||||
except ValueError:
|
||||
pass
|
||||
|
||||
# Test dimension 5 (exceeds max)
|
||||
try:
|
||||
noise = mcrfpy.NoiseSource(dimensions=5)
|
||||
print(" FAIL: Should raise ValueError for dimensions=5")
|
||||
sys.exit(1)
|
||||
except ValueError:
|
||||
pass
|
||||
|
||||
print(" PASS: Invalid dimensions error handling")
|
||||
|
||||
def test_invalid_algorithm():
|
||||
"""Test error handling for invalid algorithm"""
|
||||
try:
|
||||
noise = mcrfpy.NoiseSource(algorithm="invalid")
|
||||
print(" FAIL: Should raise ValueError for invalid algorithm")
|
||||
sys.exit(1)
|
||||
except ValueError:
|
||||
pass
|
||||
print(" PASS: Invalid algorithm error handling")
|
||||
|
||||
def test_dimension_mismatch():
|
||||
"""Test error handling for position/dimension mismatch"""
|
||||
noise = mcrfpy.NoiseSource(dimensions=2, seed=42)
|
||||
|
||||
# Too few coordinates
|
||||
try:
|
||||
noise.get((5.0,))
|
||||
print(" FAIL: Should raise ValueError for wrong dimension count")
|
||||
sys.exit(1)
|
||||
except ValueError:
|
||||
pass
|
||||
|
||||
# Too many coordinates
|
||||
try:
|
||||
noise.get((5.0, 10.0, 15.0))
|
||||
print(" FAIL: Should raise ValueError for wrong dimension count")
|
||||
sys.exit(1)
|
||||
except ValueError:
|
||||
pass
|
||||
|
||||
print(" PASS: Dimension mismatch error handling")
|
||||
|
||||
def test_repr():
|
||||
"""Test string representation"""
|
||||
noise = mcrfpy.NoiseSource(dimensions=2, algorithm="simplex", seed=42)
|
||||
r = repr(noise)
|
||||
assert "NoiseSource" in r, f"repr should contain 'NoiseSource': {r}"
|
||||
assert "2D" in r, f"repr should contain '2D': {r}"
|
||||
assert "simplex" in r, f"repr should contain 'simplex': {r}"
|
||||
assert "42" in r, f"repr should contain seed '42': {r}"
|
||||
print(" PASS: String representation")
|
||||
|
||||
def test_properties_readonly():
|
||||
"""Test that properties are read-only"""
|
||||
noise = mcrfpy.NoiseSource(seed=42)
|
||||
|
||||
readonly_props = ['dimensions', 'algorithm', 'hurst', 'lacunarity', 'seed']
|
||||
for prop in readonly_props:
|
||||
try:
|
||||
setattr(noise, prop, 0)
|
||||
print(f" FAIL: Property '{prop}' should be read-only")
|
||||
sys.exit(1)
|
||||
except AttributeError:
|
||||
pass
|
||||
|
||||
print(" PASS: Properties are read-only")
|
||||
|
||||
def run_tests():
|
||||
"""Run all NoiseSource tests"""
|
||||
print("Testing NoiseSource (Issue #207)...")
|
||||
|
||||
test_default_construction()
|
||||
test_custom_construction()
|
||||
test_algorithms()
|
||||
test_dimensions()
|
||||
test_get_method()
|
||||
test_fbm_method()
|
||||
test_turbulence_method()
|
||||
test_determinism()
|
||||
test_different_seeds()
|
||||
test_multidimensional()
|
||||
test_invalid_dimensions()
|
||||
test_invalid_algorithm()
|
||||
test_dimension_mismatch()
|
||||
test_repr()
|
||||
test_properties_readonly()
|
||||
|
||||
print("All NoiseSource tests PASSED!")
|
||||
return True
|
||||
|
||||
if __name__ == "__main__":
|
||||
try:
|
||||
success = run_tests()
|
||||
sys.exit(0 if success else 1)
|
||||
except Exception as e:
|
||||
print(f"FAIL: Unexpected exception: {e}")
|
||||
import traceback
|
||||
traceback.print_exc()
|
||||
sys.exit(1)
|
||||
Loading…
Add table
Add a link
Reference in a new issue