{
    // 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": "dgl",
    // The project's homepage
    "project_url": "https://www.dgl.ai",
    // 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": "python",
    // Customizable commands for building, installing, and
    // uninstalling the project. See asv.conf.json documentation.
    //
    "build_command": [
        "/bin/bash {conf_dir}/scripts/build_dgl_asv.sh"
    ],
    "install_command": [
        "/bin/bash {conf_dir}/scripts/install_dgl_asv.sh"
    ],
    "uninstall_command": [
        "return-code=any python -m pip uninstall -y dgl"
    ],
    // List of branches to benchmark. If not provided, defaults to "master"
    // (for git) or "default" (for mercurial).
    "branches": [
        "HEAD"
    ], // for git
    // 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",
    // The tool to use to create environments.  May be "conda",
    // "virtualenv" or other value depending on the plugins in use.
    // If missing or the empty string, the tool will be automatically
    // determined by looking for tools on the PATH environment
    // variable.
    "environment_type": "conda",
    // timeout in seconds for installing any dependencies in environment
    // defaults to 10 min
    "install_timeout": 600,
    // the base URL to show a commit for the project.
    // "show_commit_url": "http://github.com/owner/project/commit/",
    // The Pythons you'd like to test against.  If not provided, defaults
    // to the current version of Python used to run `asv`.
    // "pythons": ["2.7", "3.6"],
    // The list of conda channel names to be searched for benchmark
    // dependency packages in the specified order
    // "conda_channels": ["conda-forge", "defaults"],
    // The matrix of dependencies to test.  Each key is the name of a
    // package (in PyPI) and the values are version numbers.  An empty
    // list or empty string indicates to just test against the default
    // (latest) version. null indicates that the package is to not be
    // installed. If the package to be tested is only available from
    // PyPi, and the 'environment_type' is conda, then you can preface
    // the package name by 'pip+', and the package will be installed via
    // pip (with all the conda available packages installed first,
    // followed by the pip installed packages).
    //
    // "matrix": {
    //     "numpy": ["1.6", "1.7"],
    //     "six": ["", null],        // test with and without six installed
    //     "pip+emcee": [""],   // emcee is only available for install with pip.
    // },
    // 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": ""},
    // ],
    // The directory (relative to the current directory) that benchmarks are
    // stored in.  If not provided, defaults to "benchmarks"
    // "benchmark_dir": "benchmarks",
    // The directory (relative to the current directory) to cache the Python
    // environments in.  If not provided, defaults to "env"
    "env_dir": "env",
    // The directory (relative to the current directory) that raw benchmark
    // results are stored in.  If not provided, defaults to "results".
    "results_dir": "results",
    // The directory (relative to the current directory) that the html tree
    // should be written to.  If not provided, defaults to "html".
    "html_dir": "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%
    // },
}
