asv.conf.json

{
    // The version of the config file format.  Do not change, unless
    // you know what you are doing.
    "version": 1,

    // The name of the project being benchmarked
    "project": "beluga",

    // The project's homepage
    "project_url": "https://github.com/Rapid-Design-of-Systems-Laboratory/beluga",

    // The URL or local path of the source code repository for the
    // project being benchmarked
    "repo": ".",

    // The Python project's subdirectory in your repo.  If missing or
    // the empty string, the project is assumed to be located at the root
    // of the repository.
    // "repo_subdir": "",

    // Customizable commands for building, installing, and
    // uninstalling the project. See asv.conf.json documentation.
    //
    "install_command": ["python -m pip install -e ."],
    // "uninstall_command": ["return-code=any python -mpip uninstall -y {project}"],
    // "build_command": [
    //     "python setup.py build",
    //     "PIP_NO_BUILD_ISOLATION=false python -mpip wheel --no-deps --no-index -w {build_cache_dir} {build_dir}"
    // ],

    // List of branches to benchmark. If not provided, defaults to "master"
    // (for git) or "default" (for mercurial).
    // "branches": ["master"], // for git
    // "branches": ["default"],    // for mercurial

    // The DVCS being used.  If not set, it will be automatically
    // determined from "repo" by looking at the protocol in the URL
    // (if remote), or by looking for special directories, such as
    // ".git" (if local).
    // "dvcs": "git",

    "environment_type": "conda",

    "install_timeout": 600,

    // the base URL to show a commit for the project.
    "show_commit_url": "https://github.com/Rapid-Design-of-Systems-Laboratory/beluga/commit/",

    "pythons": ["3.7"],

    //    "matrix": {
    //        "bokeh": ["1.0.3"],
    //        "cloudpickle": [""],
    //        "docopt": [""],
    //        "matplotlib": [""],
    //        "pip+multiprocessing_on_dill": [""],
    //        "pip+npnlp": ["0.0.2"],
    //        "numba": [""],
    //        "scipy": ["1.1.0"],
    //        "sympy": ["1.3"],
    //        "pip+pathos": ["0.2.2.1"],
    //        "numpy": ["1.15.4"]
    //    },

    // Combinations of libraries/python versions can be excluded/included
    // from the set to test. Each entry is a dictionary containing additional
    // key-value pairs to include/exclude.
    //
    // An exclude entry excludes entries where all values match. The
    // values are regexps that should match the whole string.
    //
    // An include entry adds an environment. Only the packages listed
    // are installed. The 'python' key is required. The exclude rules
    // do not apply to includes.
    //
    // In addition to package names, the following keys are available:
    //
    // - python
    //     Python version, as in the *pythons* variable above.
    // - environment_type
    //     Environment type, as above.
    // - sys_platform
    //     Platform, as in sys.platform. Possible values for the common
    //     cases: 'linux2', 'win32', 'cygwin', 'darwin'.
    //
    // "exclude": [
    //     {"python": "3.2", "sys_platform": "win32"}, // skip py3.2 on windows
    //     {"environment_type": "conda", "six": null}, // don't run without six on conda
    // ],
    //
    // "include": [
    //     // additional env for python2.7
    //     {"python": "2.7", "numpy": "1.8"},
    //     // additional env if run on windows+conda
    //     {"platform": "win32", "environment_type": "conda", "python": "2.7", "libpython": ""},
    // ],

    "benchmark_dir": "benchmarks",
    "env_dir": ".asv/env",
    "results_dir": ".asv/results",
    "html_dir": ".asv/html",

    // The number of characters to retain in the commit hashes.
    // "hash_length": 8,

    // `asv` will cache results of the recent builds in each
    // environment, making them faster to install next time.  This is
    // the number of builds to keep, per environment.
    "build_cache_size": 2,

    // The commits after which the regression search in `asv publish`
    // should start looking for regressions. Dictionary whose keys are
    // regexps matching to benchmark names, and values corresponding to
    // the commit (exclusive) after which to start looking for
    // regressions.  The default is to start from the first commit
    // with results. If the commit is `null`, regression detection is
    // skipped for the matching benchmark.
    //
    // "regressions_first_commits": {
    //    "some_benchmark": "352cdf",  // Consider regressions only after this commit
    //    "another_benchmark": null,   // Skip regression detection altogether
    // },

    // The thresholds for relative change in results, after which `asv
    // publish` starts reporting regressions. Dictionary of the same
    // form as in ``regressions_first_commits``, with values
    // indicating the thresholds.  If multiple entries match, the
    // maximum is taken. If no entry matches, the default is 5%.
    //
    // "regressions_thresholds": {
    //    "some_benchmark": 0.01,     // Threshold of 1%
    //    "another_benchmark": 0.5,   // Threshold of 50%
    // },
}