File: asv.conf.json

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mdanalysis 2.9.0-12
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{
    // 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": "mdanalysis",

    // The project's homepage
    "project_url": "https://www.mdanalysis.org/",

    // The URL of the source code repository for the project being
    // benchmarked
    "repo": "..",
    "dvcs": "git",
    "repo_subdir":"package",
    "branches": ["develop"],

    // The base URL to show information about a particular commit.
    "show_commit_url": "https://github.com/MDAnalysis/mdanalysis/commit/",

    // The Pythons you'd like to test against.  If not provided, defaults
    // to the current version of Python used to run `asv`.
    "pythons": ["3.10"],
    // 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 indicates to just test against the default (latest)
    // version.
    "conda_channels": ["conda-forge"],
    "matrix": {
        "Cython": [],
        "numpy": [],
        "scipy": [],
	    "six": [],
	    "pytest": [],
	    "nose": [],
	    "mock": [],
        "MDAnalysisTests": [],
    },
    // 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",
    "environment_type": "conda",
    "build_cache_size": 10,
    // 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,
}