{

    // 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": "ODDT",

    // The project's homepage

    "project_url": "https://github.com/oddt/oddt",

    // The URL or local path of the source code repository for the

    // project being benchmarked

    "repo": "../",

    // 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",

    // 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": "https://github.com/oddt/oddt/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": ["openbabel", "rdkit", "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": ["1.13"],

         "scipy": [""],

         "six": [""],        // test with and without six installed

         "scikit-learn": [""],   // emcee is only available for install with pip.

         "openbabel": ["2.4.1", null],

         "rdkit": [null, "2017.09"]

    },

    // 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": [

        {"openbabel": null, "rdkit": null}, // ignore case without toolkit

        {"openbabel": "2.4.1", "rdkit": "2017.09"}, // both toolkits = OB

    ],

    //

    // "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 wheels of the recent builds in each

    // environment, making them faster to install next time.  This is

    // number of builds to keep, per environment.

    // "wheel_cache_size": 0

    // 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%

    // }

}