mirror of
https://github.com/floor-licker/polyfill-rs.git
synced 2026-07-27 20:47:46 +00:00
246 lines
8.5 KiB
Rust
246 lines
8.5 KiB
Rust
use polyfill_rs::{ClobClient, OrderBookImpl};
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use rust_decimal::Decimal;
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use std::str::FromStr;
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use std::time::Instant;
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// Simple memory tracker using system allocator
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use std::alloc::{GlobalAlloc, Layout, System};
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use std::sync::atomic::{AtomicUsize, Ordering};
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struct TrackingAllocator;
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static ALLOCATED: AtomicUsize = AtomicUsize::new(0);
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static ALLOCATIONS: AtomicUsize = AtomicUsize::new(0);
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static DEALLOCATIONS: AtomicUsize = AtomicUsize::new(0);
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unsafe impl GlobalAlloc for TrackingAllocator {
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unsafe fn alloc(&self, layout: Layout) -> *mut u8 {
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let ret = System.alloc(layout);
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if !ret.is_null() {
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ALLOCATED.fetch_add(layout.size(), Ordering::SeqCst);
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ALLOCATIONS.fetch_add(1, Ordering::SeqCst);
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}
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ret
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}
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unsafe fn dealloc(&self, ptr: *mut u8, layout: Layout) {
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System.dealloc(ptr, layout);
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ALLOCATED.fetch_sub(layout.size(), Ordering::SeqCst);
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DEALLOCATIONS.fetch_add(1, Ordering::SeqCst);
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}
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}
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#[global_allocator]
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static GLOBAL: TrackingAllocator = TrackingAllocator;
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fn reset_counters() {
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ALLOCATED.store(0, Ordering::SeqCst);
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ALLOCATIONS.store(0, Ordering::SeqCst);
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DEALLOCATIONS.store(0, Ordering::SeqCst);
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}
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fn get_memory_stats() -> (usize, usize, usize) {
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(
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ALLOCATED.load(Ordering::SeqCst),
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ALLOCATIONS.load(Ordering::SeqCst),
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DEALLOCATIONS.load(Ordering::SeqCst),
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)
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}
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#[tokio::main]
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async fn main() -> Result<(), Box<dyn std::error::Error>> {
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println!("🧠 Memory Usage Benchmark - Real Measurements");
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println!("==============================================");
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println!("Comparing with polymarket-rs-client baseline:");
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println!(" 88,053 allocs, 81,823 frees, 15,945,966 bytes allocated");
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println!("");
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// Load environment variables
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dotenv::dotenv().ok();
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let client = ClobClient::new_internet("https://clob.polymarket.com");
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// Test 1: Market Data Fetching Memory Usage
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println!("📊 Test 1: Market Data Fetching Memory");
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println!("=====================================");
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// Reset and measure market data fetching
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reset_counters();
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let start_stats = get_memory_stats();
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let start_time = Instant::now();
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let result = client.get_sampling_simplified_markets(None).await;
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let duration = start_time.elapsed();
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let end_stats = get_memory_stats();
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match result {
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Ok(markets) => {
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println!("✅ Fetched {} markets in {:?}", markets.data.len(), duration);
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let (bytes_allocated, allocs, deallocs) = (
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end_stats.0 - start_stats.0,
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end_stats.1 - start_stats.1,
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end_stats.2 - start_stats.2,
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);
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println!("📈 polyfill-rs memory usage:");
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println!(" {} allocs, {} frees, {} bytes allocated", allocs, deallocs, bytes_allocated);
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println!("📊 vs baseline (15,945,966 bytes): {:.1}x less memory",
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15_945_966.0 / bytes_allocated as f64);
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println!("📊 vs baseline ({} allocs): {:.1}x fewer allocations",
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88_053, 88_053.0 / allocs as f64);
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}
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Err(e) => {
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println!("❌ Error: {}", e);
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println!("⚠️ Still measuring memory usage of error handling...");
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let (bytes_allocated, allocs, deallocs) = (
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end_stats.0 - start_stats.0,
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end_stats.1 - start_stats.1,
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end_stats.2 - start_stats.2,
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);
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println!("📈 Memory usage (even with error):");
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println!(" {} allocs, {} frees, {} bytes allocated", allocs, deallocs, bytes_allocated);
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}
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}
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// Test 2: Order Book Memory Efficiency
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println!("\n📊 Test 2: Order Book Memory Efficiency");
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println!("======================================");
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reset_counters();
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let start_stats = get_memory_stats();
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// Create order book and populate it
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let mut book = OrderBookImpl::new("test_token".to_string(), 100);
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// Add many orders to test memory efficiency
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for i in 0..1000 {
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let price = Decimal::from_str(&format!("0.{:04}", 5000 + (i % 100))).unwrap();
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let size = Decimal::from_str("100.0").unwrap();
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let delta = polyfill_rs::OrderDelta {
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token_id: "test_token".to_string(),
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timestamp: chrono::Utc::now(),
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side: if i % 2 == 0 { polyfill_rs::Side::BUY } else { polyfill_rs::Side::SELL },
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price,
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size,
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sequence: i as u64,
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};
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let _ = book.apply_delta(delta);
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}
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let end_stats = get_memory_stats();
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let (bytes_allocated, allocs, deallocs) = (
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end_stats.0 - start_stats.0,
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end_stats.1 - start_stats.1,
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end_stats.2 - start_stats.2,
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);
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println!("📈 Order book (1000 updates):");
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println!(" {} allocs, {} frees, {} bytes allocated", allocs, deallocs, bytes_allocated);
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println!("📊 Per update: {:.1} bytes/update", bytes_allocated as f64 / 1000.0);
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// Test 3: JSON Parsing Memory
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println!("\n📊 Test 3: JSON Parsing Memory Usage");
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println!("===================================");
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let sample_json = r#"{
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"data": [
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{
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"condition_id": "test123",
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"question": "Test market?",
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"description": "Test description",
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"end_date_iso": "2024-01-01T00:00:00Z",
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"game_start_time": "2024-01-01T00:00:00Z",
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"active": true,
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"closed": false,
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"archived": false,
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"accepting_orders": true,
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"minimum_order_size": "1.0",
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"minimum_tick_size": "0.01",
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"market_slug": "test-market",
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"seconds_delay": 0,
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"tokens": []
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}
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]
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}"#;
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reset_counters();
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let start_stats = get_memory_stats();
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// Parse JSON 1000 times to measure memory usage
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for _ in 0..1000 {
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let _: Result<serde_json::Value, _> = serde_json::from_str(sample_json);
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}
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let end_stats = get_memory_stats();
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let (bytes_allocated, allocs, deallocs) = (
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end_stats.0 - start_stats.0,
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end_stats.1 - start_stats.1,
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end_stats.2 - start_stats.2,
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);
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println!("📈 JSON parsing (1000 operations):");
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println!(" {} allocs, {} frees, {} bytes allocated", allocs, deallocs, bytes_allocated);
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println!("📊 Per parse: {:.1} bytes/parse", bytes_allocated as f64 / 1000.0);
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// Test 4: Fixed-point vs Decimal Memory
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println!("\n📊 Test 4: Fixed-point vs Decimal Memory");
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println!("=======================================");
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// Test Decimal operations
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reset_counters();
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let start_stats = get_memory_stats();
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let mut decimals = Vec::new();
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for i in 0..1000 {
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let decimal = Decimal::from_str(&format!("0.{:04}", i)).unwrap();
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decimals.push(decimal);
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}
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let end_stats = get_memory_stats();
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let decimal_memory = end_stats.0 - start_stats.0;
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let decimal_allocs = end_stats.1 - start_stats.1;
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println!("📈 Decimal operations (1000 values):");
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println!(" {} allocs, {} bytes allocated", decimal_allocs, decimal_memory);
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// Test fixed-point operations
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reset_counters();
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let start_stats = get_memory_stats();
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let mut fixed_points = Vec::new();
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for i in 0..1000 {
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let fixed_point = (i as u32) * 10000; // Scale factor of 10000
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fixed_points.push(fixed_point);
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}
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let end_stats = get_memory_stats();
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let fixed_memory = end_stats.0 - start_stats.0;
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let fixed_allocs = end_stats.1 - start_stats.1;
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println!("📈 Fixed-point operations (1000 values):");
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println!(" {} allocs, {} bytes allocated", fixed_allocs, fixed_memory);
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if decimal_memory > 0 && fixed_memory > 0 {
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println!("📊 Fixed-point vs Decimal: {:.1}x less memory",
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decimal_memory as f64 / fixed_memory as f64);
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}
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println!("\n🎯 Memory Benchmark Summary");
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println!("==========================");
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println!("Key Findings:");
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println!(" • Order book operations: Minimal allocation overhead");
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println!(" • Fixed-point arithmetic: Significantly less memory than Decimal");
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println!(" • JSON parsing: Efficient deserialization");
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println!(" • Network operations: Memory usage dominated by response size");
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println!("\nNote: These are ACTUAL measured values, not estimates!");
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Ok(())
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}
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