2014-01-07 14:16:38 -06:00
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% The Rust Testing Guide
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2013-12-18 11:38:14 -06:00
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# Quick start
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To create test functions, add a `#[test]` attribute like this:
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```rust
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fn return_two() -> int {
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2
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}
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#[test]
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fn return_two_test() {
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let x = return_two();
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assert!(x == 2);
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}
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```
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To run these tests, use `rustc --test`:
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```
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$ rustc --test foo.rs; ./foo
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running 1 test
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test return_two_test ... ok
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test result: ok. 1 passed; 0 failed; 0 ignored; 0 measured
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```
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`rustc foo.rs` will *not* compile the tests, since `#[test]` implies
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`#[cfg(test)]`. The `--test` flag to `rustc` implies `--cfg test`.
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# Unit testing in Rust
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Rust has built in support for simple unit testing. Functions can be
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marked as unit tests using the 'test' attribute.
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```rust
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#[test]
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fn return_none_if_empty() {
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// ... test code ...
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}
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```
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A test function's signature must have no arguments and no return
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value. To run the tests in a crate, it must be compiled with the
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'--test' flag: `rustc myprogram.rs --test -o myprogram-tests`. Running
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the resulting executable will run all the tests in the crate. A test
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is considered successful if its function returns; if the task running
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the test fails, through a call to `fail!`, a failed `check` or
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`assert`, or some other (`assert_eq`, `assert_approx_eq`, ...) means,
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then the test fails.
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When compiling a crate with the '--test' flag '--cfg test' is also
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implied, so that tests can be conditionally compiled.
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```rust
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#[cfg(test)]
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mod tests {
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#[test]
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fn return_none_if_empty() {
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// ... test code ...
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}
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}
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```
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Additionally #[test] items behave as if they also have the
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#[cfg(test)] attribute, and will not be compiled when the --test flag
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is not used.
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Tests that should not be run can be annotated with the 'ignore'
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attribute. The existence of these tests will be noted in the test
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runner output, but the test will not be run. Tests can also be ignored
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by configuration so, for example, to ignore a test on windows you can
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write `#[ignore(cfg(target_os = "win32"))]`.
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Tests that are intended to fail can be annotated with the
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'should_fail' attribute. The test will be run, and if it causes its
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task to fail then the test will be counted as successful; otherwise it
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will be counted as a failure. For example:
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```rust
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#[test]
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#[should_fail]
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fn test_out_of_bounds_failure() {
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let v: [int] = [];
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v[0];
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}
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```
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A test runner built with the '--test' flag supports a limited set of
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arguments to control which tests are run: the first free argument
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passed to a test runner specifies a filter used to narrow down the set
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of tests being run; the '--ignored' flag tells the test runner to run
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only tests with the 'ignore' attribute.
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## Parallelism
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By default, tests are run in parallel, which can make interpreting
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failure output difficult. In these cases you can set the
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`RUST_TEST_TASKS` environment variable to 1 to make the tests run
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sequentially.
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## Benchmarking
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The test runner also understands a simple form of benchmark execution.
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Benchmark functions are marked with the `#[bench]` attribute, rather
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than `#[test]`, and have a different form and meaning. They are
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compiled along with `#[test]` functions when a crate is compiled with
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`--test`, but they are not run by default. To run the benchmark
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component of your testsuite, pass `--bench` to the compiled test
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runner.
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The type signature of a benchmark function differs from a unit test:
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it takes a mutable reference to type `test::BenchHarness`. Inside the
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benchmark function, any time-variable or "setup" code should execute
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first, followed by a call to `iter` on the benchmark harness, passing
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a closure that contains the portion of the benchmark you wish to
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actually measure the per-iteration speed of.
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For benchmarks relating to processing/generating data, one can set the
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`bytes` field to the number of bytes consumed/produced in each
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iteration; this will used to show the throughput of the benchmark.
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This must be the amount used in each iteration, *not* the total
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amount.
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For example:
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```rust
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extern mod extra;
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use std::vec;
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#[bench]
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fn bench_sum_1024_ints(b: &mut extra::test::BenchHarness) {
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let v = vec::from_fn(1024, |n| n);
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b.iter(|| {v.iter().fold(0, |old, new| old + *new);} );
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}
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#[bench]
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fn initialise_a_vector(b: &mut extra::test::BenchHarness) {
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b.iter(|| {vec::from_elem(1024, 0u64);} );
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b.bytes = 1024 * 8;
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}
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```
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The benchmark runner will calibrate measurement of the benchmark
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function to run the `iter` block "enough" times to get a reliable
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measure of the per-iteration speed.
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Advice on writing benchmarks:
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- Move setup code outside the `iter` loop; only put the part you
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want to measure inside
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- Make the code do "the same thing" on each iteration; do not
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accumulate or change state
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- Make the outer function idempotent too; the benchmark runner is
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likely to run it many times
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- Make the inner `iter` loop short and fast so benchmark runs are
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fast and the calibrator can adjust the run-length at fine
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resolution
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- Make the code in the `iter` loop do something simple, to assist in
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pinpointing performance improvements (or regressions)
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To run benchmarks, pass the `--bench` flag to the compiled
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test-runner. Benchmarks are compiled-in but not executed by default.
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## Examples
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### Typical test run
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```
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> mytests
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running 30 tests
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running driver::tests::mytest1 ... ok
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running driver::tests::mytest2 ... ignored
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... snip ...
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running driver::tests::mytest30 ... ok
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result: ok. 28 passed; 0 failed; 2 ignored
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```
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### Test run with failures
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```
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> mytests
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running 30 tests
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running driver::tests::mytest1 ... ok
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running driver::tests::mytest2 ... ignored
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... snip ...
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running driver::tests::mytest30 ... FAILED
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result: FAILED. 27 passed; 1 failed; 2 ignored
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```
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### Running ignored tests
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```
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> mytests --ignored
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running 2 tests
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running driver::tests::mytest2 ... failed
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running driver::tests::mytest10 ... ok
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result: FAILED. 1 passed; 1 failed; 0 ignored
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```
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### Running a subset of tests
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```
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> mytests mytest1
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running 11 tests
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running driver::tests::mytest1 ... ok
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running driver::tests::mytest10 ... ignored
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... snip ...
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running driver::tests::mytest19 ... ok
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result: ok. 11 passed; 0 failed; 1 ignored
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```
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### Running benchmarks
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```
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> mytests --bench
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running 2 tests
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test bench_sum_1024_ints ... bench: 709 ns/iter (+/- 82)
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test initialise_a_vector ... bench: 424 ns/iter (+/- 99) = 19320 MB/s
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test result: ok. 0 passed; 0 failed; 0 ignored; 2 measured
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```
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## Saving and ratcheting metrics
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When running benchmarks or other tests, the test runner can record
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per-test "metrics". Each metric is a scalar `f64` value, plus a noise
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value which represents uncertainty in the measurement. By default, all
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`#[bench]` benchmarks are recorded as metrics, which can be saved as
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JSON in an external file for further reporting.
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In addition, the test runner supports _ratcheting_ against a metrics
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file. Ratcheting is like saving metrics, except that after each run,
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if the output file already exists the results of the current run are
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compared against the contents of the existing file, and any regression
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_causes the testsuite to fail_. If the comparison passes -- if all
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metrics stayed the same (within noise) or improved -- then the metrics
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file is overwritten with the new values. In this way, a metrics file
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in your workspace can be used to ensure your work does not regress
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performance.
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Test runners take 3 options that are relevant to metrics:
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- `--save-metrics=<file.json>` will save the metrics from a test run
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to `file.json`
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- `--ratchet-metrics=<file.json>` will ratchet the metrics against
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the `file.json`
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- `--ratchet-noise-percent=N` will override the noise measurements
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in `file.json`, and consider a metric change less than `N%` to be
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noise. This can be helpful if you are testing in a noisy
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environment where the benchmark calibration loop cannot acquire a
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clear enough signal.
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