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Add tests for palette encoding and fix Rust index casting
Add comprehensive test suite for palette encoding feature: - Test palette generation with outliers - Test skipping when not beneficial - Test cost calculations and Pareto frontier - Test code generation for C and Rust - End-to-end compilation tests - Integration tests with other optimizations Fix Rust code generation to cast palette index to usize, which is required for array indexing in Rust (u8 indices don't implement SliceIndex<[T]>). All 205 tests pass (191 original + 14 new). Co-Authored-By: Claude Sonnet 4.5 <[email protected]>
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Lines changed: 225 additions & 1 deletion

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packTab/__init__.py

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Original file line numberDiff line numberDiff line change
@@ -1194,7 +1194,9 @@ def genCode(self, code, name=None, var="u", language="c", private=True):
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(_, index_expr) = self.next.genCode(code, None, var, language=language)
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# Look up value in palette: palette[index]
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expr = language.array_index(palette_name, index_expr)
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# Cast index to usize for Rust array indexing
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index_expr_usize = language.as_usize(index_expr)
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expr = language.array_index(palette_name, index_expr_usize)
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expr = language.cast(retType, expr)
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# Apply OuterLayer's inverse arithmetic operations

packTab/test.py

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@@ -1199,3 +1199,225 @@ def test_mixed_frequency_and_position(self):
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# (5,6) appears once -> highest ID
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assert id_56 > id_12
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assert id_56 > id_34
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class TestPaletteEncoding:
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"""Test palette encoding optimization."""
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def test_palette_generated_for_outlier(self):
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"""Palette solution should be generated when there's an outlier."""
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data = [1, 2, 3, 2, 3, 2, 1, 0, 2, 1, 2, 2, 3, 3, 1, 11110124]
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solutions = pack_table(data, default=0, compression=None)
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# Should have both direct and palette solutions
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assert len(solutions) >= 2
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# Check that one is a palette solution
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palette_solutions = [s for s in solutions if hasattr(s, 'palette') and isinstance(s.palette, list)]
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assert len(palette_solutions) >= 1
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# Verify palette structure
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pal_sol = palette_solutions[0]
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assert pal_sol.palette == [0, 1, 2, 3, 11110124]
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assert pal_sol.nLookups == 2 # indices + palette
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def test_palette_skipped_all_unique(self):
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"""Palette should not be generated when all values are unique."""
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data = list(range(100))
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solutions = pack_table(data, default=0, compression=None)
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# Should not have palette solutions (all values unique)
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palette_solutions = [s for s in solutions if hasattr(s, 'palette') and isinstance(s.palette, list)]
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assert len(palette_solutions) == 0
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def test_palette_skipped_no_savings(self):
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"""Palette should not be generated when index_bits >= value_bits."""
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# 16 unique values in range [0..15] -> 4 bits for both indices and values
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data = list(range(16))
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solutions = pack_table(data, default=0, compression=None)
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# Should not have palette solutions (no bit savings)
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palette_solutions = [s for s in solutions if hasattr(s, 'palette') and isinstance(s.palette, list)]
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assert len(palette_solutions) == 0
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def test_palette_with_few_unique_values(self):
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"""Palette should be generated when few unique values with outlier."""
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# 100 values, only 5 unique small values + 1 huge outlier
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import random
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random.seed(42)
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data = [random.choice([1, 2, 3, 4, 5]) for _ in range(100)] + [999999]
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solutions = pack_table(data, default=0, compression=None)
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# Should have palette solution
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palette_solutions = [s for s in solutions if hasattr(s, 'palette') and isinstance(s.palette, list)]
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assert len(palette_solutions) >= 1
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pal_sol = palette_solutions[0]
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assert len(pal_sol.palette) <= 6 # 5 small values + outlier
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def test_palette_cost_calculation(self):
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"""Verify palette solution cost is calculated correctly."""
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data = [1, 2, 3, 2, 3, 2, 1, 0, 2, 1, 2, 2, 3, 3, 1, 11110124]
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solutions = pack_table(data, default=0, compression=None)
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palette_sol = [s for s in solutions if hasattr(s, 'palette') and isinstance(s.palette, list)][0]
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# Palette: 5 values × 4 bytes = 20 bytes
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# Indices: 16 values, 3 bits each, packed = ~6 bytes
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# Total should be around 20-28 bytes
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assert 20 <= palette_sol.cost <= 30
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assert palette_sol.cost < 64 # Better than direct (64 bytes)
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def test_palette_in_pareto_frontier(self):
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"""Palette solution should be on Pareto frontier."""
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data = [1, 2, 3, 2, 3, 2, 1, 0, 2, 1, 2, 2, 3, 3, 1, 11110124]
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solutions = pack_table(data, default=0, compression=None)
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# All returned solutions should be non-dominated
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for a in solutions:
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for b in solutions:
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if a is b:
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continue
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# a should not dominate b (otherwise b wouldn't be in frontier)
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assert not (a.nLookups <= b.nLookups and a.fullCost <= b.fullCost)
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def test_palette_selected_large_dataset(self):
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"""Palette should be selected for large dataset with outliers."""
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import random
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random.seed(42)
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# 1000 values from small range, plus one huge outlier
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data = [random.choice([1, 2, 3, 4, 5]) for _ in range(1000)] + [999999]
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# With compression=1, palette should win
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solution = pack_table(data, default=0, compression=1)
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# Should be palette solution
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assert hasattr(solution, 'palette') and isinstance(solution.palette, list)
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assert len(solution.palette) == 6 # 5 values + outlier
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def test_palette_code_generation_c(self):
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"""Test palette code generation for C."""
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data = [1, 2, 3, 2, 3, 2, 1, 0, 2, 1, 2, 2, 3, 3, 1, 11110124]
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solutions = pack_table(data, default=0, compression=None)
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palette_sol = [s for s in solutions if hasattr(s, 'palette') and isinstance(s.palette, list)][0]
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code = Code("test")
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palette_sol.genCode(code, "get", language="c", private=False)
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output = io.StringIO()
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code.print_code(file=output, language="c")
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result = output.getvalue()
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# Should contain palette array
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assert "palette" in result
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# Should contain the outlier value
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assert "11110124" in result
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def test_palette_code_generation_rust(self):
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"""Test palette code generation for Rust."""
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data = [1, 2, 3, 2, 3, 2, 1, 0, 2, 1, 2, 2, 3, 3, 1, 11110124]
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solutions = pack_table(data, default=0, compression=None)
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palette_sol = [s for s in solutions if hasattr(s, 'palette') and isinstance(s.palette, list)][0]
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code = Code("test")
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palette_sol.genCode(code, "get", language="rust", private=False)
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output = io.StringIO()
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code.print_code(file=output, language="rust")
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result = output.getvalue()
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# Should contain palette array
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assert "palette" in result
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# Should be valid Rust syntax
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assert "fn " in result or "#[inline]" in result
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def test_palette_end_to_end_c(self):
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"""Compile and run palette-encoded C code."""
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import random
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random.seed(42)
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data = [random.choice([10, 20, 30]) for _ in range(50)] + [999999]
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# Force palette solution
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solutions = pack_table(data, default=0, compression=None)
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palette_sol = [s for s in solutions if hasattr(s, 'palette') and isinstance(s.palette, list)][0]
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code = Code("data")
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palette_sol.genCode(code, "get", language="c", private=False)
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output = io.StringIO()
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code.print_code(file=output, language="c")
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c_code = output.getvalue()
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# Compile and test
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_compile_and_run_c(c_code, data, 0)
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def test_palette_end_to_end_rust(self):
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"""Compile and run palette-encoded Rust code."""
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import random
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random.seed(42)
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data = [random.choice([10, 20, 30]) for _ in range(50)] + [999999]
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# Force palette solution
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solutions = pack_table(data, default=0, compression=None)
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palette_sol = [s for s in solutions if hasattr(s, 'palette') and isinstance(s.palette, list)][0]
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code = Code("data")
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palette_sol.genCode(code, "get", language="rust", private=False)
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output = io.StringIO()
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code.print_code(file=output, language="rust")
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rust_code = output.getvalue()
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# Compile and test
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_compile_and_run_rust(rust_code, data, 0)
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def test_palette_with_bias(self):
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"""Palette should work with OuterLayer bias optimization."""
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# Values with common bias
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data = [100, 101, 102, 101, 102, 101, 100, 99] + [999999]
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solutions = pack_table(data, default=0, compression=None)
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palette_sol = [s for s in solutions if hasattr(s, 'palette') and isinstance(s.palette, list)]
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if palette_sol:
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# If palette generated, it should handle the bias correctly
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pal = palette_sol[0]
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code = Code("test")
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pal.genCode(code, "get", language="c")
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assert True # Just verify it generates without error
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def test_palette_with_repeated_pattern(self):
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"""Palette with repeated patterns should work correctly."""
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# Repeated pattern with outlier
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base_pattern = [1, 2, 3, 2, 3, 2, 1, 0]
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data = base_pattern * 32 + [999999]
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solution = pack_table(data, default=0, compression=5)
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# Should generate valid code
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code = Code("test")
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solution.genCode(code, "get", language="c")
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output = io.StringIO()
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code.print_code(file=output, language="c")
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assert len(output.getvalue()) > 0
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def test_palette_separate_from_other_arrays(self):
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"""Verify palette uses separate array, not offset into existing arrays."""
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data = [1, 2, 3, 2, 3, 2, 1, 0, 2, 1, 2, 2, 3, 3, 1, 11110124]
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solutions = pack_table(data, default=0, compression=None)
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palette_sol = [s for s in solutions if hasattr(s, 'palette') and isinstance(s.palette, list)][0]
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code = Code("data")
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palette_sol.genCode(code, "get", language="c", private=False)
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output = io.StringIO()
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code.print_code(file=output, language="c")
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result = output.getvalue()
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# Should have separate palette array name
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assert "data_palette" in result
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# Should not have offset addition in palette access (e.g., not "data_u32[5 + ...]")
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# The palette access should be clean: palette[index]
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assert "palette[" in result or "palette" in result

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