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## Benchmarks
These benchmarks are written using [Google Benchmark](https://github.com/google/benchmark).
*Repetitions*
To increase the number of times each benchmark iteration is run use:
```
--benchmark_repetitions=20
```
*Filters*
To filter out which benchmarks are performed use:
```
--benchmark_filter="adler32*"
```
There are two different benchmarks, micro and macro.
### Benchmark benchmark_zlib
These are microbenchmarks intended to test lower level subfunctions of the library.
Benchmarks include implementations of:
- Adler32
- CRC
- 256 byte comparisons
- SIMD accelerated "slide hash" routine
By default these benchmarks report things on the nanosecond scale and are small enough
to measure very minute differences.
*Alternative zlib library*
To benchmark against an alternative zlib-compatible library, use the `ZLIB_LIBRARY`
CMake argument. When set, only the public API benchmarks are built:
```sh
cmake -S . -B build-alt \
-DZLIB_COMPAT=ON \
-DBUILD_SHARED_LIBS=OFF \
-DBUILD_TESTING=ON \
-DWITH_BENCHMARKS=ON \
-DCMAKE_BUILD_TYPE=Release \
-DWITH_RUNTIME_CPU_DETECTION=OFF \
-DZLIB_LIBRARY=/path/to/libz.a
```
### Benchmark benchmark_zlib_apps
These benchmarks measure applications of zlib as a whole. Currently the only examples
are PNG encoding and decoding. The PNG encode and decode tests leveraging procedurally
generated and highly compressible image data.
Additionally, a test called `png_decode_realistic` that will decode any RGB 8 BPP encoded
set of PNGs in the working directory under a directory named "test_pngs" with files named
{0..1}.png. If these images do not exist, they will error out and the benchmark will move
on to the next set of benchmarks.
*benchmark_zlib_apps_alt*
The user can compile a comparison benchmark application linking to any zlib-compatible
implementation of his or her choosing.
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