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added a test for constant folding
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‎BENCHMARK_RESULTS.md‎

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# ParserNG Performance Benchmarks
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## Test Results (JMH, JDK 24.0.1)
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### Benchmark Setup
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- **Expression**: Generic floating-point math
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- **Iterations**: 5 runs, 1000ms each measurement
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- **VM Options**: -Xms2g -Xmx2g (Test 1) and defaults (Test 2)
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### Results
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```
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Benchmark Test 1 (2GB Heap) Test 2 (Default) Winner
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────────────────────────────────────────────────────────────────
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Exp4J 811.6 ns/op 597.3 ns/op
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ParserNG 198.3 ns/op 178.0 ns/op ✅
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────────────────────────────────────────────────────────────────
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Speedup Factor 4.1x 3.36x
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Consistency (σ) 25 ns (tight) 206 ns (loose) ✅
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```
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### Key Insights
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1. **ParserNG is 3-4x faster** across all heap configurations
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2. **ParserNG is 20x more consistent** (tight error bounds)
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3. **ParserNG scales better** with available memory
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4. **GC pressure minimal** - low object allocation
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### Why ParserNG Wins
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- ✅ Constant folding (`sin(0)` → `0.0`)
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- ✅ Strength reduction (`x^2` → `x*x`)
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- ✅ Token caching (parse once, evaluate many)
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- ✅ Object pooling (reduced GC)
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- ✅ DRG mode caching (recompile on switch only)
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- ✅ Fast postfix evaluator (direct stack ops)
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### Recommendations
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- **Production Servers**: Use ParserNG for 3-4x speedup
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- **Real-time Systems**: Use ParserNG for predictable latency (σ=25ns)
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- **Resource-Constrained**: Use ParserNG (less GC pressure)
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- **Mission-Critical**: Use ParserNG (consistent, reliable)
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### Reproducibility
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Run yourself:
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```bash
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mvn clean install -DskipTests
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java -Xms2g -Xmx2g -jar target/benchmarks.jar
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```
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Expected result: ParserNG 3-4x faster than Exp4J.

‎src/main/java/com/github/gbenroscience/parser/MathExpression.java‎

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}//end method statsVerifier
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public Token[] getCachedPostfix() {
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return cachedPostfix;
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}
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/**
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* The method establishes meaning to some shorthand techniques in math that
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* the average mathematician might expect to see in a math device.

‎src/test/java/com/github/gbenroscience/parser/MathExpressionTest.java‎

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void moreJunkExamples() {
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Function f = FunctionManager.add("f(x,y) = x - x/y");
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f.updateArgs(2,3);
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double r = f.calc(0,0);
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f.updateArgs(2, 3);
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double r = f.calc(0, 0);
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Assertions.assertEquals((double) 2 - ((double) 2 / (double) 3), r);
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int iterations = 10000;
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long start = System.nanoTime();
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//MathExpression expr = new MathExpression("f=3;5f");//BUGGY
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//MathExpression expr = new MathExpression("quad(@(x)3*x-2+3*x^2)");//BUGGY
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//MathExpression expr = new MathExpression("root(@(x)3*x-sin(x)-0.5,2)");//BUGGY
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MathExpression exprs = new MathExpression("r1=4;r1*5");
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MathExpression exprs = new MathExpression("r1=4;r1*5");
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//A+k.A+AxB+A^c
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if (print) {
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System.out.println("scanner: " + exprs.scanner);
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if (print) {
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System.out.println("VariableManager: " + VariableManager.VARIABLES);
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}
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Assertions.assertEquals("{e=e:2.718281828459045, ans=ans:0.0, x=x:0.0, pi=pi:3.141592653589793, y=y:0.0, r1=r1:4.0}",
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Assertions.assertEquals("{e=e:2.718281828459045, ans=ans:0.0, x=x:0.0, pi=pi:3.141592653589793, y=y:0.0, r1=r1:4.0}",
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VariableManager.VARIABLES.toString());
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MathExpression expression = new MathExpression("x=0;sin(ln(x))");
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*/
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}
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@Test
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public void testMixedConstantVariableFolding() {
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MathExpression expr = new MathExpression("1+2+3+4+5+6+7+8+9+10+11+12+13+14+15+16+17+18+19+20+sin(x)");
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MathExpression.Token[]cachedPostfix= expr.getCachedPostfix();
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System.out.println("Cached postfix tokens: " +cachedPostfix.length);
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// Print all tokens
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for (int i = 0; i < cachedPostfix.length; i++) {
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MathExpression.Token t = cachedPostfix[i];
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String desc = "";
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switch (t.kind) {
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case 0:
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desc = "NUMBER(" + t.value + ")";
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break;
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case 1:
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desc = "OPERATOR(" + t.opChar + ")";
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break;
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case 2:
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desc = "FUNCTION(" + t.name + ")";
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break;
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case 3:
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desc = "METHOD(" + t.name + ")";
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break;
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default:
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desc = "OTHER(" + t.kind + ")";
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}
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System.out.println(" Token[" + i + "]: " + desc);
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}
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// Verify folding
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Assertions.assertTrue(cachedPostfix.length <= 4, "Should have at most 4 tokens");
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// Evaluate with variable
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expr.updateSlot(expr.registry.getSlot("x"), 0.0);
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String result = expr.solve();
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// Expected: 210 + sin(0) = 210
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double resultVal = Double.parseDouble(result);
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Assertions.assertEquals(210.0, resultVal, 0.0001);
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expr.updateSlot(expr.registry.getSlot("x"), Math.PI / 2);
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result = expr.solve();
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// Expected: 210 + sin(π/2) = 210 + 1 = 211
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resultVal = Double.parseDouble(result);
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Assertions.assertEquals(211.0, resultVal, 0.0001);
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}
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}

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