use crate::benchmarks::{BenchmarkConfig, BenchmarkFramework, BenchmarkResult, MetricType};
use std::collections::HashMap;
use std::time::Duration;
pub struct ExecutionBenchmark;
impl ExecutionBenchmark {
pub fn new() -> Self {
Self
}
pub fn simple_expression_benchmark(&self) -> BenchmarkResult {
let config: _ = BenchmarkConfig {
iterations: 10000,
warmup_iterations: 100,
timeout: Some(Duration::from_secs(60)),
save_raw_data: true,
compare_with_baseline: true,
};
let framework: _ = BenchmarkFramework::new(config);
framework.run_benchmark("simple_expression", MetricType::ExecutionTime, || {
let mut sum = 0;
for i in 0..100 {
sum += i * 2;
}
sum
})
}
pub fn complex_calculation_benchmark(&self) -> BenchmarkResult {
let config: _ = BenchmarkConfig {
iterations: 1000,
warmup_iterations: 10,
timeout: Some(Duration::from_secs(60)),
save_raw_data: true,
compare_with_baseline: true,
};
let framework: _ = BenchmarkFramework::new(config);
framework.run_benchmark("complex_calculation", MetricType::ExecutionTime, || {
let mut result = 0.0;
for i in 0..1000 {
result += (i as f64).sin() * (i as f64).cos();
}
result
})
}
pub fn function_call_benchmark(&self) -> BenchmarkResult {
let config: _ = BenchmarkConfig {
iterations: 10000,
warmup_iterations: 100,
timeout: Some(Duration::from_secs(60)),
save_raw_data: true,
compare_with_baseline: true,
};
let framework: _ = BenchmarkFramework::new(config);
framework.run_benchmark("function_call", MetricType::ExecutionTime, || {
fibonacci(20)
})
}
pub fn recursive_function_benchmark(&self) -> BenchmarkResult {
let config: _ = BenchmarkConfig {
iterations: 1000,
warmup_iterations: 10,
timeout: Some(Duration::from_secs(60)),
save_raw_data: true,
compare_with_baseline: true,
};
let framework: _ = BenchmarkFramework::new(config);
framework.run_benchmark("recursive_function", MetricType::ExecutionTime, || {
factorial(10)
})
}
pub fn object_operations_benchmark(&self) -> BenchmarkResult {
let config: _ = BenchmarkConfig {
iterations: 5000,
warmup_iterations: 50,
timeout: Some(Duration::from_secs(60)),
save_raw_data: true,
compare_with_baseline: true,
};
let framework: _ = BenchmarkFramework::new(config);
framework.run_benchmark("object_operations", MetricType::ExecutionTime, || {
let mut obj = HashMap::new();
for i in 0..100 {
obj.insert(format!("key_{}", i), i * 2);
}
let mut sum = 0;
for (_key, value) in &obj {
sum += value;
}
sum
})
}
pub fn array_operations_benchmark(&self) -> BenchmarkResult {
let config: _ = BenchmarkConfig {
iterations: 5000,
warmup_iterations: 50,
timeout: Some(Duration::from_secs(60)),
save_raw_data: true,
compare_with_baseline: true,
};
let framework: _ = BenchmarkFramework::new(config);
framework.run_benchmark("array_operations", MetricType::ExecutionTime, || {
let mut arr = Vec::new();
for i in 0..1000 {
arr.push(i * 2);
}
let sum: i32 = arr.iter().sum();
sum
})
}
pub fn string_operations_benchmark(&self) -> BenchmarkResult {
let config: _ = BenchmarkConfig {
iterations: 5000,
warmup_iterations: 50,
timeout: Some(Duration::from_secs(60)),
save_raw_data: true,
compare_with_baseline: true,
};
let framework: _ = BenchmarkFramework::new(config);
framework.run_benchmark("string_operations", MetricType::ExecutionTime, || {
let mut s = String::new();
for i in 0..100 {
s.push_str(&format!("item_{}_", i));
}
s.len()
})
}
pub fn loop_performance_benchmark(&self) -> BenchmarkResult {
let config: _ = BenchmarkConfig {
iterations: 1000,
warmup_iterations: 10,
timeout: Some(Duration::from_secs(60)),
save_raw_data: true,
compare_with_baseline: true,
};
let framework: _ = BenchmarkFramework::new(config);
framework.run_benchmark("loop_performance", MetricType::ExecutionTime, || {
let mut sum = 0;
for i in 0..10000 {
if i % 2 == 0 {
sum += i;
} else {
sum -= i;
}
}
sum
})
}
pub fn json_parsing_benchmark(&self) -> BenchmarkResult {
let config: _ = BenchmarkConfig {
iterations: 1000,
warmup_iterations: 10,
timeout: Some(Duration::from_secs(60)),
save_raw_data: true,
compare_with_baseline: true,
};
let framework: _ = BenchmarkFramework::new(config);
framework.run_benchmark("json_parsing", MetricType::ExecutionTime, || {
let json_str: _ = r#"{"name":"test","value":123,"items":[1,2,3,4,5]}"#;
let parsed: Result<serde_json::Value, _> = serde_json::from_str(json_str);
let _: _ = parsed.is_ok();
})
}
pub fn regex_benchmark(&self) -> BenchmarkResult {
let config: _ = BenchmarkConfig {
iterations: 1000,
warmup_iterations: 10,
timeout: Some(Duration::from_secs(60)),
save_raw_data: true,
compare_with_baseline: true,
};
let framework: _ = BenchmarkFramework::new(config);
framework.run_benchmark("regex", MetricType::ExecutionTime, || {
let text: _ = "The quick brown fox jumps over the lazy dog 12345";
let re: _ = regex::Regex::new(r"\d+").unwrap();
let _matches: Vec<_> = re.find_iter(text).collect();
_matches.len()
})
}
pub fn run_all_benchmarks(&self) -> Vec<BenchmarkResult> {
vec![
self.simple_expression_benchmark(),
self.complex_calculation_benchmark(),
self.function_call_benchmark(),
self.recursive_function_benchmark(),
self.object_operations_benchmark(),
self.array_operations_benchmark(),
self.string_operations_benchmark(),
self.loop_performance_benchmark(),
self.json_parsing_benchmark(),
self.regex_benchmark(),
]
}
pub fn generate_report(&self, results: &[BenchmarkResult]) -> String {
let mut report = String::new();
report.push_str("=== Execution Speed Performance Report ===\n\n");
for result in results {
report.push_str(&result.format_summary());
report.push_str("\n\n");
}
let total_ops_per_second: f64 = results.iter().map(|r| r.operations_per_second).sum();
let avg_ops_per_second: _ = total_ops_per_second / results.len() as f64;
report.push_str(&format!(
"Total Operations/Second: {:.0}\n",
total_ops_per_second
));
report.push_str(&format!(
"Average Operations/Second: {:.0}\n",
avg_ops_per_second
));
report
}
}
impl Default for ExecutionBenchmark {
fn default() -> Self {
Self::new()
}
}
fn fibonacci(n: u32) -> u64 {
match n {
0 => 0,
1 => 1,
_ => fibonacci(n - 1) + fibonacci(n - 2),
}
}
fn factorial(n: u64) -> u64 {
match n {
0 | 1 => 1,
_ => n * factorial(n - 1),
}
}
pub struct ExecutionOptimizationSuggestions {
pub suggestions: Vec<String>,
}
impl ExecutionOptimizationSuggestions {
pub fn generate(results: &[BenchmarkResult]) -> Self {
let mut suggestions = Vec::new();
for result in results {
let ops_per_sec: _ = result.operations_per_second;
match result.name.as_str() {
"simple_expression" => {
if ops_per_sec < 100000.0 {
suggestions.push(
"Simple expression execution is slow. Consider optimizing expression evaluation.".to_string()
);
}
}
"function_call" => {
if ops_per_sec < 50000.0 {
suggestions.push(
"Function call overhead is high. Consider inlining frequently called functions.".to_string()
);
}
}
"object_operations" => {
if ops_per_sec < 10000.0 {
suggestions.push(
"Object operations are slow. Consider optimizing property access patterns.".to_string()
);
}
}
"array_operations" => {
if ops_per_sec < 10000.0 {
suggestions.push(
"Array operations are slow. Consider optimizing array handling."
.to_string(),
);
}
}
_ => {}
}
}
let avg_ops: _ =
results.iter().map(|r| r.operations_per_second).sum::<f64>() / results.len() as f64;
if avg_ops < 50000.0 {
suggestions.push(
"Overall execution speed is below target. Consider implementing more aggressive JIT optimizations.".to_string()
);
}
Self { suggestions }
}
pub fn format(&self) -> String {
if self.suggestions.is_empty() {
"No optimization suggestions. Execution speed is within acceptable limits.".to_string()
} else {
format!(
"=== Execution Optimization Suggestions ===\n\n{}",
self.suggestions
.iter()
.enumerate()
.map(|(i, s)| format!("{}. {}", i + 1, s))
.collect::<Vec<_>>()
.join("\n")
)
}
}
}