use byteorder::{LittleEndian, WriteBytesExt}; use criterion::{black_box, criterion_group, criterion_main, Criterion}; use serde_pickle_rs::*; use std::collections::BTreeMap; use std::io::Read; // TODO: These macros are redefined from tests macro_rules! pyobj { (n=None) => { Value::None }; (b=True) => { Value::Bool(true) }; (b=False) => { Value::Bool(false) }; (i=$i:expr) => { Value::I64($i) }; (ii=$i:expr) => { Value::Int($i.clone()) }; (f=$f:expr) => { Value::F64($f) }; (bb=$b:expr) => { Value::Bytes($b.to_vec()) }; (s=$s:expr) => { Value::String($s.into()) }; (t=($($m:ident=$v:tt),*)) => { Value::Tuple(vec![$(pyobj!($m=$v)),*]) }; (l=[$($m:ident=$v:tt),*]) => { Value::List(vec![$(pyobj!($m=$v)),*]) }; (ss=($($m:ident=$v:tt),*)) => { Value::Set(BTreeSet::from_iter(vec![$(hpyobj!($m=$v)),*])) }; (fs=($($m:ident=$v:tt),*)) => { Value::FrozenSet(BTreeSet::from_iter(vec![$(hpyobj!($m=$v)),*])) }; (d={$($km:ident=$kv:tt => $vm:ident=$vv:tt),*}) => { Value::Dict(BTreeMap::from_iter(vec![$((hpyobj!($km=$kv), pyobj!($vm=$vv))),*])) }; } macro_rules! hpyobj { (n=None) => { HashableValue::None }; (b=True) => { HashableValue::Bool(true) }; (b=False) => { HashableValue::Bool(false) }; (i=$i:expr) => { HashableValue::I64($i) }; (ii=$i:expr) => { HashableValue::Int($i.clone()) }; (f=$f:expr) => { HashableValue::F64($f) }; (bb=$b:expr) => { HashableValue::Bytes($b.to_vec()) }; (s=$s:expr) => { HashableValue::String($s.into()) }; (t=($($m:ident=$v:tt),*)) => { HashableValue::Tuple(vec![$(hpyobj!($m=$v)),*]) }; (fs=($($m:ident=$v:tt),*)) => { HashableValue::FrozenSet(BTreeSet::from_iter(vec![$(hpyobj!($m=$v)),*])) }; } fn unpickle_list(c: &mut Criterion) { // Creates [[0], [1], [2], ...] // Start a list let mut buffer = b"\x80\x02]q\x00(".to_vec(); for i in 0..1000 { // Insert an empty list (memoized) buffer.extend(b"]r"); buffer.write_u32::(i + 1).unwrap(); // Insert i as an integer buffer.push(b'M'); buffer.write_u16::(i as u16).unwrap(); // Append buffer.push(b'a'); } // Append all buffer.extend(b"e."); c.bench_function("unpickle_list", |b| { b.iter(|| value_from_slice(&buffer, Default::default()).unwrap()); }); } fn unpickle_list_no_memo(c: &mut Criterion) { // Same as above, but doesn't use the memo let mut buffer = b"\x80\x02](".to_vec(); for i in 0..1000 { buffer.extend(b"]M"); buffer.write_u16::(i as u16).unwrap(); buffer.push(b'a'); } buffer.extend(b"e."); c.bench_function("unpickle_list_no_memo", |b| { b.iter(|| value_from_slice(&buffer, Default::default()).unwrap()); }); } fn unpickle_dict(c: &mut Criterion) { // Creates {0: "string", 1: "string", ...} let mut buffer = b"\x80\x03}q\x00(K\x00".to_vec(); buffer.extend(b"X\x06\x00\x00\x00stringq\x01"); for i in 0..1000 { buffer.push(b'M'); buffer.write_u16::(i as u16).unwrap(); buffer.extend(b"h\x01"); } buffer.extend(b"u."); c.bench_function("unpickle_dict", |b| { b.iter(|| value_from_slice(&buffer, Default::default()).unwrap()); }); } fn unpickle_nested_list(c: &mut Criterion) { // Creates [[[[...]]]] let mut buffer = b"\x80\x02".to_vec(); for i in 0..101 { buffer.extend(b"]r"); buffer.write_u32::(i).unwrap(); } buffer.resize(100, b'a'); buffer.push(b'.'); c.bench_function("unpickle_nested_list", |b| { b.iter(|| value_from_slice(&buffer, Default::default()).unwrap()); }); } fn unpickle_nested_list_no_memo(c: &mut Criterion) { // Creates [[[[...]]]] without using memo let mut buffer = b"\x80\x02".to_vec(); for _ in 0..201 { buffer.extend(b"]"); } buffer.resize(200, b'a'); buffer.push(b'.'); c.bench_function("unpickle_nested_list_no_memo", |b| { b.iter(|| value_from_slice(&buffer, Default::default()).unwrap()); }); } fn unpickle_simple_tuple(c: &mut Criterion) { let mut list = Vec::with_capacity(1000); for i in 0..1000 { list.push(pyobj!(i = i)); } let tuple = Value::Tuple(list); let buffer = value_to_vec(&tuple, Default::default()).unwrap(); c.bench_function("unpickle_simple_tuple", |b| { b.iter(|| value_from_slice(&buffer, Default::default()).unwrap()); }); } fn pickle_list(c: &mut Criterion) { let mut list = Vec::with_capacity(1000); for i in 0..1000 { list.push(pyobj!(l = [i = i])); } let list = Value::List(list); c.bench_function("pickle_list", |b| { b.iter(|| value_to_vec(&list, Default::default()).unwrap()); }); } fn pickle_dict(c: &mut Criterion) { let mut dict = BTreeMap::new(); for i in 0..1000 { dict.insert(hpyobj!(i = i), pyobj!(l = [i = i])); } let dict = Value::Dict(dict); c.bench_function("pickle_dict", |b| { b.iter(|| value_to_vec(&dict, Default::default()).unwrap()); }); } fn bench_picklefile(c: &mut Criterion, filename: &str) { // Load the picklefile let mut contents = vec![]; let mut f = std::fs::File::open(filename).unwrap(); f.read_to_end(&mut contents).unwrap(); // Run the benchmark c.bench_function(filename, |b| { b.iter(|| { serde_pickle_rs::de::value_from_slice( black_box(&contents), serde_pickle_rs::de::DeOptions::new(), ) .unwrap() }) }); } pub fn criterion_benchmark(c: &mut Criterion) { bench_picklefile(c, "benches/data/biglist.pickle"); bench_picklefile(c, "benches/data/manyrefs.pickle"); bench_picklefile(c, "benches/data/manystrings.pickle"); for i in 0..=5 { bench_picklefile(c, &format!("test/data/tests_py3_proto{}.pickle", i)); } for i in 0..=2 { bench_picklefile(c, &format!("test/data/tests_py2_proto{}.pickle", i)); } unpickle_list(c); unpickle_list_no_memo(c); unpickle_dict(c); unpickle_nested_list(c); unpickle_nested_list_no_memo(c); unpickle_simple_tuple(c); pickle_list(c); pickle_dict(c); } criterion_group!(benches, criterion_benchmark); criterion_main!(benches);