{ "info": { "author": "Martijn Meijers", "author_email": "b.m.meijers@tudelft.nl", "bugtrack_url": null, "classifiers": [ "Development Status :: 4 - Beta", "Intended Audience :: Developers", "Intended Audience :: Information Technology", "License :: OSI Approved :: MIT License", "Operating System :: Microsoft :: Windows", "Operating System :: OS Independent", "Operating System :: POSIX :: Linux", "Programming Language :: Cython", "Programming Language :: Python", "Programming Language :: Python :: 2.7", "Programming Language :: Python :: 3.6", "Topic :: Scientific/Engineering :: GIS", "Topic :: Software Development :: Libraries", "Topic :: Software Development :: Libraries :: Python Modules" ], "description": "README\n======\n\ngeompreds - A Python wrapper for 2D predicates of Jonathan Richard Shewchuk\n\n Many computational geometry applications use numerical tests known as the \n orientation and incircle tests. The orientation test determines whether a point\n lies to the left of, to the right of, or on a line or plane defined by other\n points. The incircle test determines whether a point lies inside, outside, or\n on a circle defined by other points. \n [`Adaptive Precision Floating-Point Arithmetic and Fast Robust Predicates for Computational Geometry `_].\n\n\nInstallation\n------------\n\n- Download the source\n- Run `python setup.py install` (or `python setup.py develop`)\n- Run `python test/test_predicates.py` to run the tests.\n\n\nUsage\n-----\n\n>>> from geompreds import orient2d, incircle\n\n>>> orient2d( (0, 0), (10, 0), (10, 10)) # left turn (positive), looking from above\n100.0\n>>> orient2d( (0, 0), (10, 0), (20, 0)) # straight (zero)\n0.0\n>>> orient2d( (0, 0), (10, 0), (10, -10)) # right turn (negative), looking from above\n-100.0\n\n>>> incircle((0,0), (10,0), (0,10), (0,10)) # on boundary\n0.0\n>>> incircle((0,0), (10,0), (0,10), (1,1)) # inside, value positive\n1800.0\n>>> incircle((0,0), (10,0), (0,10), (-100,-100)) # outside, value negative\n-2200000.0\n\n\nChangelog\n---------\nSee `CHANGES.txt`.\n\n\nBug reports\n-----------\nIf you discover any bugs, feel free to create an issue on Bitbucket.\n\nPlease add as much information as possible to help us fixing the possible bug.\nWe also encourage you to help even more by forking and sending us a pull\nrequest.\n\nThe issue tracker lives `here `_.\n\n\nMaintainers\n-----------\n\n- `Martijn Meijers `_\n\n\nLicense\n-------\n\n`MIT License `_", "description_content_type": null, "docs_url": null, "download_url": "", "downloads": { "last_day": -1, "last_month": -1, "last_week": -1 }, "home_page": "https://bitbucket.org/bmmeijers/predicates/", "keywords": "", "license": "MIT license", "maintainer": "", "maintainer_email": "", "name": "geompreds", "package_url": "https://pypi.org/project/geompreds/", "platform": "UNKNOWN", "project_url": "https://pypi.org/project/geompreds/", "project_urls": { "Homepage": "https://bitbucket.org/bmmeijers/predicates/" }, "release_url": "https://pypi.org/project/geompreds/1.0.2/", "requires_dist": null, "requires_python": "", "summary": "Adaptive Precision Floating-Point Arithmetic and Fast Robust Predicates for Computational Geometry for Python", "version": "1.0.2" }, "last_serial": 2825594, "releases": { "1.0.0": [ { "comment_text": "", "digests": { "md5": "6f7f053f1e26976dcfca4bd6d0c5c12c", "sha256": "3bbab26a271a3fe27a06ec31727a36630d852835adb3256d3fb66013f81c7cac" }, "downloads": -1, "filename": "geompreds-1.0.0.tar.gz", "has_sig": false, "md5_digest": "6f7f053f1e26976dcfca4bd6d0c5c12c", "packagetype": "sdist", "python_version": "source", "requires_python": null, "size": 51907, "upload_time": "2015-07-12T13:17:59", "url": "https://files.pythonhosted.org/packages/4d/7a/ccfed57ba2246777648de2637bec048c7882a2c18a20f43ee466f8d7778a/geompreds-1.0.0.tar.gz" } ], "1.0.1": [ { "comment_text": "", "digests": { "md5": "3c9d542b92672af5115d0985b130373e", "sha256": "abcf06119efdbcf702bc1e8c7456f37f212b1a20ca54e6afdb19a3bb9ec1bee9" }, "downloads": -1, "filename": "geompreds-1.0.1.tar.gz", "has_sig": false, "md5_digest": "3c9d542b92672af5115d0985b130373e", "packagetype": "sdist", "python_version": "source", "requires_python": null, "size": 52882, "upload_time": "2015-07-30T08:07:35", "url": "https://files.pythonhosted.org/packages/64/11/f3794d3e9ce6990a1dc3722dbd96f80eb1950aaa815e51452aa0207ba127/geompreds-1.0.1.tar.gz" } ], "1.0.2": [ { "comment_text": "", "digests": { "md5": "c94dc5acbb63e81418be9c61a0b6d2c2", "sha256": "f6b48fe4c823a8c9249b52df9a8375fcf68b48b31a19bf5689c2ff9d6d8820fb" }, "downloads": -1, "filename": "geompreds-1.0.2.tar.gz", "has_sig": false, "md5_digest": "c94dc5acbb63e81418be9c61a0b6d2c2", "packagetype": "sdist", "python_version": "source", "requires_python": null, "size": 52942, "upload_time": "2017-04-24T12:07:01", "url": "https://files.pythonhosted.org/packages/d0/47/c47deecf8f538fdac9661605dfd66727c77f5bcea3ab93ba5268a1ce0a8b/geompreds-1.0.2.tar.gz" } ] }, "urls": [ { "comment_text": "", "digests": { "md5": "c94dc5acbb63e81418be9c61a0b6d2c2", "sha256": "f6b48fe4c823a8c9249b52df9a8375fcf68b48b31a19bf5689c2ff9d6d8820fb" }, "downloads": -1, "filename": "geompreds-1.0.2.tar.gz", "has_sig": false, "md5_digest": "c94dc5acbb63e81418be9c61a0b6d2c2", "packagetype": "sdist", "python_version": "source", "requires_python": null, "size": 52942, "upload_time": "2017-04-24T12:07:01", "url": "https://files.pythonhosted.org/packages/d0/47/c47deecf8f538fdac9661605dfd66727c77f5bcea3ab93ba5268a1ce0a8b/geompreds-1.0.2.tar.gz" } ] }