mirror of
https://github.com/nushell/nushell
synced 2024-12-27 05:23:11 +00:00
7d301c76d3
a recent addition must have removed the `create_default_context` command
from `nu_command`, which breaks the benchmarks 😮
## before this PR
```bash
cargo check --all-targets --workspace
```
gives a bunch of
```bash
error[E0425]: cannot find function `create_default_context` in crate `nu_command`
--> benches/benchmarks.rs:93:48
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93 | let mut engine_state = nu_command::create_default_context();
| ^^^^^^^^^^^^^^^^^^^^^^ not found in `nu_command`
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help: consider importing this function
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1 | use nu_cmd_lang::create_default_context;
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help: if you import `create_default_context`, refer to it directly
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93 - let mut engine_state = nu_command::create_default_context();
93 + let mut engine_state = create_default_context();
|
```
and `cargo bench` does not run...
## with this PR
```bash
cargo check --all-targets --workspace
```
is not happy and the benchmarks run again with `cargo bench`
---------
Co-authored-by: sholderbach <sholderbach@users.noreply.github.com>
194 lines
6.4 KiB
Rust
194 lines
6.4 KiB
Rust
use criterion::{criterion_group, criterion_main, BatchSize, Criterion};
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use nu_cli::eval_source;
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use nu_parser::parse;
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use nu_plugin::{EncodingType, PluginResponse};
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use nu_protocol::{engine::EngineState, PipelineData, Span, Value};
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use nu_utils::{get_default_config, get_default_env};
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fn load_bench_commands() -> EngineState {
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nu_command::add_shell_command_context(nu_cmd_lang::create_default_context())
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}
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// FIXME: All benchmarks live in this 1 file to speed up build times when benchmarking.
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// When the *_benchmarks functions were in different files, `cargo bench` would build
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// an executable for every single one - incredibly slowly. Would be nice to figure out
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// a way to split things up again.
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fn parser_benchmarks(c: &mut Criterion) {
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let mut engine_state = load_bench_commands();
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// parsing config.nu breaks without PWD set
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engine_state.add_env_var(
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"PWD".into(),
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Value::string("/some/dir".to_string(), Span::test_data()),
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);
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let default_env = get_default_env().as_bytes();
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c.bench_function("parse_default_env_file", |b| {
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b.iter_batched(
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|| nu_protocol::engine::StateWorkingSet::new(&engine_state),
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|mut working_set| parse(&mut working_set, None, default_env, false),
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BatchSize::SmallInput,
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)
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});
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let default_config = get_default_config().as_bytes();
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c.bench_function("parse_default_config_file", |b| {
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b.iter_batched(
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|| nu_protocol::engine::StateWorkingSet::new(&engine_state),
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|mut working_set| parse(&mut working_set, None, default_config, false),
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BatchSize::SmallInput,
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)
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});
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c.bench_function("eval default_env.nu", |b| {
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b.iter(|| {
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let mut engine_state = load_bench_commands();
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let mut stack = nu_protocol::engine::Stack::new();
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eval_source(
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&mut engine_state,
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&mut stack,
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get_default_env().as_bytes(),
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"default_env.nu",
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PipelineData::empty(),
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false,
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)
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})
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});
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c.bench_function("eval default_config.nu", |b| {
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b.iter(|| {
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let mut engine_state = load_bench_commands();
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// parsing config.nu breaks without PWD set
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engine_state.add_env_var(
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"PWD".into(),
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Value::string("/some/dir".to_string(), Span::test_data()),
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);
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let mut stack = nu_protocol::engine::Stack::new();
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eval_source(
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&mut engine_state,
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&mut stack,
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get_default_config().as_bytes(),
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"default_config.nu",
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PipelineData::empty(),
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false,
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)
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})
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});
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}
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fn eval_benchmarks(c: &mut Criterion) {
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c.bench_function("eval default_env.nu", |b| {
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b.iter(|| {
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let mut engine_state = load_bench_commands();
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let mut stack = nu_protocol::engine::Stack::new();
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eval_source(
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&mut engine_state,
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&mut stack,
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get_default_env().as_bytes(),
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"default_env.nu",
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PipelineData::empty(),
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false,
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)
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})
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});
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c.bench_function("eval default_config.nu", |b| {
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b.iter(|| {
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let mut engine_state = load_bench_commands();
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// parsing config.nu breaks without PWD set
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engine_state.add_env_var(
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"PWD".into(),
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Value::string("/some/dir".to_string(), Span::test_data()),
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);
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let mut stack = nu_protocol::engine::Stack::new();
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eval_source(
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&mut engine_state,
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&mut stack,
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get_default_config().as_bytes(),
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"default_config.nu",
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PipelineData::empty(),
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false,
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)
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})
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});
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}
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// generate a new table data with `row_cnt` rows, `col_cnt` columns.
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fn encoding_test_data(row_cnt: usize, col_cnt: usize) -> Value {
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let columns: Vec<String> = (0..col_cnt).map(|x| format!("col_{x}")).collect();
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let vals: Vec<Value> = (0..col_cnt as i64).map(Value::test_int).collect();
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Value::List {
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vals: (0..row_cnt)
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.map(|_| Value::test_record(columns.clone(), vals.clone()))
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.collect(),
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span: Span::test_data(),
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}
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}
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fn encoding_benchmarks(c: &mut Criterion) {
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let mut group = c.benchmark_group("Encoding");
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let test_cnt_pairs = [
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(100, 5),
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(100, 10),
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(100, 15),
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(1000, 5),
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(1000, 10),
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(1000, 15),
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(10000, 5),
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(10000, 10),
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(10000, 15),
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];
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for (row_cnt, col_cnt) in test_cnt_pairs.into_iter() {
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for fmt in ["json", "msgpack"] {
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group.bench_function(&format!("{fmt} encode {row_cnt} * {col_cnt}"), |b| {
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let mut res = vec![];
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let test_data =
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PluginResponse::Value(Box::new(encoding_test_data(row_cnt, col_cnt)));
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let encoder = EncodingType::try_from_bytes(fmt.as_bytes()).unwrap();
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b.iter(|| encoder.encode_response(&test_data, &mut res))
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});
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}
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}
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group.finish();
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}
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fn decoding_benchmarks(c: &mut Criterion) {
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let mut group = c.benchmark_group("Decoding");
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let test_cnt_pairs = [
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(100, 5),
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(100, 10),
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(100, 15),
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(1000, 5),
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(1000, 10),
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(1000, 15),
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(10000, 5),
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(10000, 10),
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(10000, 15),
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];
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for (row_cnt, col_cnt) in test_cnt_pairs.into_iter() {
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for fmt in ["json", "msgpack"] {
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group.bench_function(&format!("{fmt} decode for {row_cnt} * {col_cnt}"), |b| {
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let mut res = vec![];
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let test_data =
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PluginResponse::Value(Box::new(encoding_test_data(row_cnt, col_cnt)));
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let encoder = EncodingType::try_from_bytes(fmt.as_bytes()).unwrap();
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encoder.encode_response(&test_data, &mut res).unwrap();
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let mut binary_data = std::io::Cursor::new(res);
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b.iter(|| {
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binary_data.set_position(0);
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encoder.decode_response(&mut binary_data)
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})
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});
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}
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}
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group.finish();
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}
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criterion_group!(
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benches,
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parser_benchmarks,
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eval_benchmarks,
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encoding_benchmarks,
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decoding_benchmarks
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);
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criterion_main!(benches);
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