Dictionaries are prebuilt and saved as part of the data object.
The config decides whether or not to use the dictionary if it is
available. Configs that require dictionaries are only run with
data that have dictionaries. The method will skip configs that are
irrelevant, so for example ZSTD_compress() will skip configs with
dictionaries.
I've also trimmed the silesia source to 1MB per file (12 MB total),
and added 500 samples from the github data set with a dictionary.
I've intentionally added an extra line to the `results.csv` to make
the nightly build fail, so that we can see how CircleCI reports it.
Full list of changes:
* Add pre-built dictionaries to the data.
* Add `use_dictionary` and `no_pledged_src_size` flags to the config.
* Add a config using a dictionary for every level.
* Add a config that specifies no pledged source size.
* Support dictionaries and streaming in the `zstdcli` method.
* Add a context-reuse method using `ZSTD_compressCCtx()`.
* Clean up the formatting of the `results.csv` file to align columns.
* Add `--data`, `--config`, and `--method` flags to constrain each
to a particular value. This is useful for debugging a failure
or debugging a particular config/method/data.
ZSTD_compress_generic() is renamed ZSTD_compressStream2().
Note that, for the time being,
the "stable" API and advanced one use different parameter planes :
setting parameters using the advanced API does not influence ZSTD_compressStream()
and using ZSTD_initCStream() does not influence parameters for ZSTD_compressStream2().
The regression tests run nightly or on the `regression`
branch for convenience. The results get uploaded as the
artifacts of the job. If they change, check the diff
printed in the job. If all is well, download the new
results and commit them to the repo.
This code will only run on a UNIX like platform. It
could be made to run on Windows, but I don't think that
it is necessary. It also uses C99.
* data: This module defines the data to run tests on.
It downloads data from a URL into a cache directory,
checks it against a checksum, and unpacks it. It also
provides helpers for accessing the data.
* config: This module defines the configs to run tests
with. A config is a set of API parameters and a set of
CLI flags.
* result: This module is a helper for method that defines
the result type.
* method: This module defines the compression methods
to test. It is what runs the regression test using the
data and the config. It reports the total compressed
size, or an error/skip.
* test: This is the test binary that runs the tests for
every (data, config, method) tuple, and prints the
results to the output file and stderr.
* results.csv: The results that the current commit is
expected to produce.
NOTE: This commit only tested on Linux (Ubuntu 18.04). Windows
build may not work as expected.
* Use meson >= 0.47.0 cause we use install_man function
* Add three helper Python script:
* CopyFile.py: To copy file
* CreateSymlink.py: To make symlink (both Windows and Unix)
* GetZstdLibraryVersion.py: Parse lib/zstd.h to get zstd version
These help emulating equivalent functions in CMake and Makefile.
* Use subdir from meson to split meson.build
* Add contrib build
* Fix other build
* Add new build options
* build_programs: Enable programs build
* build_contrib: Enable contrib build
* build_tests: Enable tests build
* use_static_runtime: Link to static run-time libraries on MSVC
* zlib_support: Enable zlib support
* lzma_support: Enable lzma support
