{ "info": { "author": "Jayme", "author_email": "tuxnet@gmail.com", "bugtrack_url": null, "classifiers": [ "Development Status :: 4 - Beta", "Intended Audience :: System Administrators", "License :: OSI Approved :: GNU Affero General Public License v3", "Operating System :: OS Independent", "Programming Language :: Python :: 3" ], "description": "============\nbon_csvAvg\n============\n\nA little script that calculates the average of a number of eqal `bonnie++ `_ tests.\nIt is probably far from complete and I've just tested it with some of my recent results.\n\nInstallation\n============\n\n.. code-block:: sh\n\n pip install bon-csvAvg\n\n\nUsage\n=====\n\n.. code-block:: sh\n\n bonnie++ ... | bon_csvAvg.py | bon_csv2html > your_bonnie_result.html\n # or\n bon_csvAvg.py your_bonnie_result.csv | bon_csv2html > your_bonnie_result.html\n\n\nThe script will try to average all results with the same name (:code:`bonnie++ -m \"foobar\" ...`) and will only output lines that have been calculated (e.g lines with names occurring only one won't be printed).\nColumns that could not be calculated will be printed as \":code:`yyyyy`\" (borrowing from bonnies \":code:`+++++`\" columns).", "description_content_type": null, "docs_url": null, "download_url": null, "downloads": { "last_day": -1, "last_month": -1, "last_week": -1 }, "home_page": "https://github.com/jayme-github/bon_csvAvg", "keywords": "bonnie", "license": "GNU Affero General Public License v3", "maintainer": null, "maintainer_email": null, "name": "bon-csvAvg", "package_url": "https://pypi.org/project/bon-csvAvg/", "platform": "any", "project_url": "https://pypi.org/project/bon-csvAvg/", "project_urls": { "Homepage": "https://github.com/jayme-github/bon_csvAvg" }, "release_url": "https://pypi.org/project/bon-csvAvg/0.2/", "requires_dist": null, "requires_python": null, "summary": "calculate the average of a number of bonnie++ test", "version": "0.2" }, "last_serial": 1932367, "releases": { "0.1": [ { "comment_text": "", "digests": { "md5": "c6d49b31f5e864c3954047f9458ac124", "sha256": "d32851f7f66e2cd69708761173b187df1ea38e637c25881ed255eef2b52bcb9f" }, "downloads": -1, "filename": "bon_csvAvg-0.1.tar.gz", "has_sig": false, "md5_digest": "c6d49b31f5e864c3954047f9458ac124", "packagetype": "sdist", "python_version": "source", "requires_python": null, "size": 3335, "upload_time": "2016-01-26T08:49:06", "url": "https://files.pythonhosted.org/packages/5a/50/5d73cd887d13cd3a342a5a52f74f5a742555835f87c9a546962ad8cb2ed9/bon_csvAvg-0.1.tar.gz" } ], "0.2": [ { "comment_text": "", "digests": { "md5": "a7a74d8e3b8e6dfb504d04476a743268", "sha256": "1157312384a626febd0a82202924637727ecfe337f3c828b2f4d9ecfb0d998b1" }, "downloads": -1, "filename": "bon_csvAvg-0.2.tar.gz", "has_sig": false, "md5_digest": "a7a74d8e3b8e6dfb504d04476a743268", "packagetype": "sdist", "python_version": "source", "requires_python": null, "size": 3401, "upload_time": "2016-01-31T19:16:26", "url": "https://files.pythonhosted.org/packages/55/5c/3e03e9843075ccdb4e32156c5cda58a92d2bd8fce02fe312e23d6cbd7b11/bon_csvAvg-0.2.tar.gz" } ] }, "urls": [ { "comment_text": "", "digests": { "md5": "a7a74d8e3b8e6dfb504d04476a743268", "sha256": "1157312384a626febd0a82202924637727ecfe337f3c828b2f4d9ecfb0d998b1" }, "downloads": -1, "filename": "bon_csvAvg-0.2.tar.gz", "has_sig": false, "md5_digest": "a7a74d8e3b8e6dfb504d04476a743268", "packagetype": "sdist", "python_version": "source", "requires_python": null, "size": 3401, "upload_time": "2016-01-31T19:16:26", "url": "https://files.pythonhosted.org/packages/55/5c/3e03e9843075ccdb4e32156c5cda58a92d2bd8fce02fe312e23d6cbd7b11/bon_csvAvg-0.2.tar.gz" } ] }