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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": "pandas",
// The project's homepage
"project_url": "https://pandas.pydata.org/",
// The URL 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": ["main"],
// 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",
// the base URL to show a commit for the project.
"show_commit_url": "https://github.com/pandas-dev/pandas/commit/",
// The Pythons you'd like to test against. If not provided, defaults
// to the current version of Python used to run `asv`.
"pythons": ["3.8"],
// 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": [],
"Cython": ["0.29.32"],
"matplotlib": [],
"sqlalchemy": [],
"scipy": [],
"numba": [],
"numexpr": [],
"pytables": [null, ""], // platform dependent, see excludes below
"pyarrow": [],
"tables": [null, ""],
"openpyxl": [],
"xlsxwriter": [],
"xlrd": [],
"xlwt": [],
"odfpy": [],
"jinja2": [],
},
"conda_channels": ["defaults", "conda-forge"],
// 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": [
// On conda install pytables, otherwise tables
{"environment_type": "conda", "tables": ""},
{"environment_type": "conda", "pytables": null},
{"environment_type": "(?!conda).*", "tables": null},
{"environment_type": "(?!conda).*", "pytables": ""},
],
"include": [],
// 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.
"build_cache_size": 8,
// 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": {
".*": "0409521665"
},
"regression_thresholds": {
},
"build_command":
["python setup.py build -j4",
"PIP_NO_BUILD_ISOLATION=false python -mpip wheel --no-deps --no-index -w {build_cache_dir} {build_dir}"],
}
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