{ "info": { "author": "AJ Friend", "author_email": "ajfriend@gmail.com", "bugtrack_url": null, "classifiers": [], "description": "Converts a CVXPY problem and a dict of CVXPY variables to a fast proximal operator object, which uses CySCS to provide fast evaluation, via one-time matrix stuffing, CySCS factorization caching, and automatic warm-starting of variables.", "description_content_type": null, "docs_url": null, "download_url": "", "downloads": { "last_day": -1, "last_month": -1, "last_week": -1 }, "home_page": "https://github.com/ajfriend/scsprox", "keywords": "scs cvxpy convex optimization proximal operators ADMM", "license": "MIT", "maintainer": "", "maintainer_email": "", "name": "scsprox", "package_url": "https://pypi.org/project/scsprox/", "platform": "UNKNOWN", "project_url": "https://pypi.org/project/scsprox/", "project_urls": { "Homepage": "https://github.com/ajfriend/scsprox" }, "release_url": "https://pypi.org/project/scsprox/0.1.0a2/", "requires_dist": [ "cvxpy", "cyscs", "numpy", "psutil", "pytest", "scipy" ], "requires_python": "", "summary": "Fast proximal operators from CVXPY problems with CySCS", "version": "0.1.0a2" }, "last_serial": 2143590, "releases": { "0.1.0a1": [ { "comment_text": "", "digests": { "md5": "7478f581ec3fc680649b653f3b71f66f", "sha256": "88f446f435b1e0a517f618400e5fb2a82ee89423fd85af5af2d760a8e009112a" }, "downloads": -1, "filename": "scsprox-0.1.0a1-py2.py3-none-any.whl", "has_sig": false, "md5_digest": "7478f581ec3fc680649b653f3b71f66f", "packagetype": "bdist_wheel", "python_version": "py2.py3", "requires_python": null, "size": 8458, "upload_time": "2016-05-31T21:48:02", "url": "https://files.pythonhosted.org/packages/f8/62/618ef53b3b4d492c92c654b2bb4c0f90ae67626e7af0a9cfc102cc4040f9/scsprox-0.1.0a1-py2.py3-none-any.whl" }, { "comment_text": "", "digests": { "md5": "72fbcf08b00f078eb92e37508fe586bd", "sha256": "673560aef53559da3b8b96161c1583e809d437de7cc25f7991c4f1225aa8059f" }, "downloads": -1, "filename": "scsprox-0.1.0a1.tar.gz", "has_sig": false, "md5_digest": "72fbcf08b00f078eb92e37508fe586bd", "packagetype": "sdist", "python_version": "source", "requires_python": null, "size": 5670, "upload_time": "2016-05-31T21:50:01", "url": "https://files.pythonhosted.org/packages/3a/98/b0cef240a3caac76fb35ecb3f69dfd3a3d8336fb27582e81c511e7ef5905/scsprox-0.1.0a1.tar.gz" } ], "0.1.0a2": [ { "comment_text": "", "digests": { "md5": "92f88f69ac00e1930719fe266d589943", "sha256": "815648388ad06937d750781577eea75f17466ce2e419fe415ecca0ef690e2e8b" }, "downloads": -1, "filename": "scsprox-0.1.0a2-py2.py3-none-any.whl", "has_sig": false, "md5_digest": "92f88f69ac00e1930719fe266d589943", "packagetype": "bdist_wheel", "python_version": "py2.py3", "requires_python": null, "size": 12303, "upload_time": "2016-05-31T22:33:20", "url": "https://files.pythonhosted.org/packages/42/0a/f9c1ac71df856254e4e0b8353b4c67aa1c60fe90d985f71b059a1c79868f/scsprox-0.1.0a2-py2.py3-none-any.whl" }, { "comment_text": "", "digests": { "md5": "15684dd207effdb9311c7ca63f180110", "sha256": "2d1387cab73628d8ef33c89baabb7e010e6a14ea7d0e9dce17415598f2b57398" }, "downloads": -1, "filename": "scsprox-0.1.0a2.tar.gz", "has_sig": false, "md5_digest": "15684dd207effdb9311c7ca63f180110", "packagetype": "sdist", "python_version": "source", "requires_python": null, "size": 7764, "upload_time": "2016-05-31T22:33:44", "url": "https://files.pythonhosted.org/packages/c5/54/edf2ea3c09c51a236ed818b5a14913a90aa8370cdc2ab404e8b8f4face5f/scsprox-0.1.0a2.tar.gz" } ] }, "urls": [ { "comment_text": "", "digests": { "md5": "92f88f69ac00e1930719fe266d589943", "sha256": "815648388ad06937d750781577eea75f17466ce2e419fe415ecca0ef690e2e8b" }, "downloads": -1, "filename": "scsprox-0.1.0a2-py2.py3-none-any.whl", "has_sig": false, "md5_digest": "92f88f69ac00e1930719fe266d589943", "packagetype": "bdist_wheel", "python_version": "py2.py3", "requires_python": null, "size": 12303, "upload_time": "2016-05-31T22:33:20", "url": "https://files.pythonhosted.org/packages/42/0a/f9c1ac71df856254e4e0b8353b4c67aa1c60fe90d985f71b059a1c79868f/scsprox-0.1.0a2-py2.py3-none-any.whl" }, { "comment_text": "", "digests": { "md5": "15684dd207effdb9311c7ca63f180110", "sha256": "2d1387cab73628d8ef33c89baabb7e010e6a14ea7d0e9dce17415598f2b57398" }, "downloads": -1, "filename": "scsprox-0.1.0a2.tar.gz", "has_sig": false, "md5_digest": "15684dd207effdb9311c7ca63f180110", "packagetype": "sdist", "python_version": "source", "requires_python": null, "size": 7764, "upload_time": "2016-05-31T22:33:44", "url": "https://files.pythonhosted.org/packages/c5/54/edf2ea3c09c51a236ed818b5a14913a90aa8370cdc2ab404e8b8f4face5f/scsprox-0.1.0a2.tar.gz" } ] }