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{
"version": 1,
"project": "pydicom",
"project_url": "https://github.com/pydicom/pydicom.git",
// The URL or local path of the repo for the project being benchmarked
"repo": ".",
"repo_subdir": "",
// Customizable commands for building, installing, and
// uninstalling the project. See asv.conf.json documentation.
//
// "install_command": ["in-dir={env_dir} python -mpip install {wheel_file}"],
// "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": ["nested-seq-speed", "master"],
"environment_type": "virtualenv",
// timeout in seconds for installing any dependencies in environment
//"install_timeout": 600,
// the base URL to show a commit for the project.
"show_commit_url": "https://github.com/pydicom/pydicom/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 matrix of dependencies to test.
"matrix": {
"req": {
"numpy": []
},
},
// "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. ...
// "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. ...
// "regressions_thresholds": {
// "some_benchmark": 0.01, // Threshold of 1%
// "another_benchmark": 0.5, // Threshold of 50%
// },
}
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