Add three methods that create NEW HeightMap objects: - threshold(range): preserve original values where in range, 0.0 elsewhere - threshold_binary(range, value=1.0): set uniform value where in range - inverse(): return (1.0 - value) for each cell These operations are immutable - they preserve the original HeightMap. Useful for masking operations with Grid.apply_threshold/apply_ranges. Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
254 lines
8 KiB
Python
254 lines
8 KiB
Python
#!/usr/bin/env python3
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"""Unit tests for mcrfpy.HeightMap threshold operations (#197)
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Tests the HeightMap threshold methods: threshold, threshold_binary, inverse
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These methods return NEW HeightMap objects, preserving the original.
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"""
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import sys
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import mcrfpy
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def test_threshold_basic():
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"""threshold() returns new HeightMap with values in range"""
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hmap = mcrfpy.HeightMap((10, 10), fill=0.5)
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result = hmap.threshold((0.4, 0.6))
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# Result should have values (all 0.5 are in range)
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assert abs(result[5, 5] - 0.5) < 0.001, f"Expected 0.5, got {result[5, 5]}"
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print("PASS: test_threshold_basic")
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def test_threshold_preserves_original():
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"""threshold() does not modify original"""
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hmap = mcrfpy.HeightMap((10, 10), fill=0.5)
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original_value = hmap[5, 5]
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_ = hmap.threshold((0.0, 0.3)) # Range excludes 0.5
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# Original should be unchanged
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assert abs(hmap[5, 5] - original_value) < 0.001, "Original was modified!"
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print("PASS: test_threshold_preserves_original")
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def test_threshold_returns_new():
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"""threshold() returns a different object"""
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hmap = mcrfpy.HeightMap((10, 10), fill=0.5)
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result = hmap.threshold((0.0, 1.0))
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assert result is not hmap, "threshold should return a new HeightMap"
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print("PASS: test_threshold_returns_new")
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def test_threshold_out_of_range():
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"""threshold() sets values outside range to 0.0"""
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hmap = mcrfpy.HeightMap((10, 10), fill=0.5)
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result = hmap.threshold((0.6, 1.0)) # Excludes 0.5
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# All values should be 0.0 since 0.5 is not in [0.6, 1.0]
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assert abs(result[5, 5]) < 0.001, f"Expected 0.0, got {result[5, 5]}"
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print("PASS: test_threshold_out_of_range")
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def test_threshold_preserves_values():
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"""threshold() preserves original values (not just 1.0)"""
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hmap = mcrfpy.HeightMap((10, 10))
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# Set different values manually using scalar ops
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hmap.fill(0.0)
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# We can't set individual values, so let's test with uniform map
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# and verify the value is preserved, not converted to 1.0
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hmap2 = mcrfpy.HeightMap((10, 10), fill=0.75)
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result = hmap2.threshold((0.5, 1.0))
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assert abs(result[5, 5] - 0.75) < 0.001, f"Expected 0.75, got {result[5, 5]}"
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print("PASS: test_threshold_preserves_values")
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def test_threshold_invalid_range():
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"""threshold() raises ValueError for invalid range"""
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hmap = mcrfpy.HeightMap((10, 10), fill=0.5)
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try:
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hmap.threshold((1.0, 0.0)) # min > max
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print("FAIL: test_threshold_invalid_range - should have raised ValueError")
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sys.exit(1)
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except ValueError as e:
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assert "min" in str(e).lower()
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print("PASS: test_threshold_invalid_range")
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def test_threshold_accepts_list():
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"""threshold() accepts list as range"""
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hmap = mcrfpy.HeightMap((10, 10), fill=0.5)
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result = hmap.threshold([0.4, 0.6]) # List instead of tuple
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assert abs(result[5, 5] - 0.5) < 0.001
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print("PASS: test_threshold_accepts_list")
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def test_threshold_binary_basic():
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"""threshold_binary() sets uniform value in range"""
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hmap = mcrfpy.HeightMap((10, 10), fill=0.5)
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result = hmap.threshold_binary((0.4, 0.6))
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# Default value is 1.0
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assert abs(result[5, 5] - 1.0) < 0.001, f"Expected 1.0, got {result[5, 5]}"
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print("PASS: test_threshold_binary_basic")
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def test_threshold_binary_custom_value():
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"""threshold_binary() uses custom value"""
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hmap = mcrfpy.HeightMap((10, 10), fill=0.5)
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result = hmap.threshold_binary((0.4, 0.6), value=0.8)
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assert abs(result[5, 5] - 0.8) < 0.001, f"Expected 0.8, got {result[5, 5]}"
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print("PASS: test_threshold_binary_custom_value")
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def test_threshold_binary_out_of_range():
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"""threshold_binary() sets 0.0 for values outside range"""
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hmap = mcrfpy.HeightMap((10, 10), fill=0.5)
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result = hmap.threshold_binary((0.6, 1.0))
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# 0.5 is not in [0.6, 1.0], so result should be 0.0
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assert abs(result[5, 5]) < 0.001, f"Expected 0.0, got {result[5, 5]}"
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print("PASS: test_threshold_binary_out_of_range")
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def test_threshold_binary_preserves_original():
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"""threshold_binary() does not modify original"""
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hmap = mcrfpy.HeightMap((10, 10), fill=0.5)
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_ = hmap.threshold_binary((0.0, 1.0), value=0.0)
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assert abs(hmap[5, 5] - 0.5) < 0.001, "Original was modified!"
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print("PASS: test_threshold_binary_preserves_original")
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def test_threshold_binary_invalid_range():
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"""threshold_binary() raises ValueError for invalid range"""
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hmap = mcrfpy.HeightMap((10, 10), fill=0.5)
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try:
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hmap.threshold_binary((1.0, 0.0)) # min > max
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print("FAIL: test_threshold_binary_invalid_range - should have raised ValueError")
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sys.exit(1)
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except ValueError as e:
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assert "min" in str(e).lower()
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print("PASS: test_threshold_binary_invalid_range")
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def test_inverse_basic():
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"""inverse() returns (1.0 - value) for each cell"""
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hmap = mcrfpy.HeightMap((10, 10), fill=0.3)
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result = hmap.inverse()
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expected = 1.0 - 0.3
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assert abs(result[5, 5] - expected) < 0.001, f"Expected {expected}, got {result[5, 5]}"
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print("PASS: test_inverse_basic")
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def test_inverse_preserves_original():
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"""inverse() does not modify original"""
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hmap = mcrfpy.HeightMap((10, 10), fill=0.3)
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_ = hmap.inverse()
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assert abs(hmap[5, 5] - 0.3) < 0.001, "Original was modified!"
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print("PASS: test_inverse_preserves_original")
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def test_inverse_returns_new():
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"""inverse() returns a different object"""
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hmap = mcrfpy.HeightMap((10, 10), fill=0.5)
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result = hmap.inverse()
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assert result is not hmap, "inverse should return a new HeightMap"
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print("PASS: test_inverse_returns_new")
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def test_inverse_zero():
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"""inverse() of 0.0 is 1.0"""
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hmap = mcrfpy.HeightMap((10, 10), fill=0.0)
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result = hmap.inverse()
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assert abs(result[5, 5] - 1.0) < 0.001, f"Expected 1.0, got {result[5, 5]}"
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print("PASS: test_inverse_zero")
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def test_inverse_one():
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"""inverse() of 1.0 is 0.0"""
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hmap = mcrfpy.HeightMap((10, 10), fill=1.0)
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result = hmap.inverse()
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assert abs(result[5, 5]) < 0.001, f"Expected 0.0, got {result[5, 5]}"
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print("PASS: test_inverse_one")
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def test_inverse_half():
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"""inverse() of 0.5 is 0.5"""
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hmap = mcrfpy.HeightMap((10, 10), fill=0.5)
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result = hmap.inverse()
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assert abs(result[5, 5] - 0.5) < 0.001, f"Expected 0.5, got {result[5, 5]}"
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print("PASS: test_inverse_half")
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def test_double_inverse():
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"""double inverse() returns to original value"""
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hmap = mcrfpy.HeightMap((10, 10), fill=0.7)
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result = hmap.inverse().inverse()
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assert abs(result[5, 5] - 0.7) < 0.001, f"Expected 0.7, got {result[5, 5]}"
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print("PASS: test_double_inverse")
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def test_size_preserved():
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"""threshold operations preserve HeightMap size"""
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hmap = mcrfpy.HeightMap((15, 20), fill=0.5)
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result1 = hmap.threshold((0.0, 1.0))
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result2 = hmap.threshold_binary((0.0, 1.0))
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result3 = hmap.inverse()
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assert result1.size == (15, 20), f"threshold size mismatch: {result1.size}"
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assert result2.size == (15, 20), f"threshold_binary size mismatch: {result2.size}"
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assert result3.size == (15, 20), f"inverse size mismatch: {result3.size}"
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print("PASS: test_size_preserved")
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def run_all_tests():
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"""Run all tests"""
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print("Running HeightMap threshold operation tests (#197)...")
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print()
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test_threshold_basic()
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test_threshold_preserves_original()
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test_threshold_returns_new()
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test_threshold_out_of_range()
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test_threshold_preserves_values()
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test_threshold_invalid_range()
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test_threshold_accepts_list()
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test_threshold_binary_basic()
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test_threshold_binary_custom_value()
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test_threshold_binary_out_of_range()
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test_threshold_binary_preserves_original()
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test_threshold_binary_invalid_range()
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test_inverse_basic()
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test_inverse_preserves_original()
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test_inverse_returns_new()
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test_inverse_zero()
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test_inverse_one()
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test_inverse_half()
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test_double_inverse()
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test_size_preserved()
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print()
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print("All HeightMap threshold operation tests PASSED!")
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# Run tests directly
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run_all_tests()
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sys.exit(0)
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