{
    "info": {
        "author": "Parker Edwards",
        "author_email": "pedwards@ufl.edu",
        "bugtrack_url": null,
        "classifiers": [
            "Development Status :: 3 - Alpha",
            "License :: OSI Approved :: MIT License",
            "Programming Language :: Python :: 2.7"
        ],
        "description": "tdasampling\n-------------\n\nCopyright (C) 2019 `Parker\nEdwards <https://people.clas.ufl.edu/pedwards>`__\n\nExternal requirements\n---------------------\n\n1. `Bertini <https://bertini.nd.edu/>`__\n2. `Libspatialindex <https://libspatialindex.github.io/>`__ (A\n   requirement of the Python package\n   `Rtree <https://pypi.python.org/pypi/Rtree/>`__)\n3. An mpiexec executable, like the one you can compile from source\n   `here <https://www.open-mpi.org/software/ompi/v3.0/>`__\n\nDescription\n-----------\n\nPython package for sampling real algebraic varieties from their\npolynomial systems. See the article https://arxiv.org/abs/1802.07716 for\ntheoretical details. It has been tested on Linux.\n\nThe package installs two command line scripts:\n\n1. **tdasampling** - Entry point to the main sampling algorithm.\n2. **sampling-setup** - Script for setting up a directory for sampling\n   computation from just a list of polynomials in the system.\n\nSee the included tutorial for detailed information about all the\ndifferent options.\n\nVersion 1.1.4\n-------------\n\nBasic usage for tdasampling\n---------------------------\n\n.. code:: shell\n\n    $ tdasampling [options] bounds density number_of_functions_in_system execution_directory\n\n-  Bounds is a list of a form like -1.0,1.0,-1.0,1.0, which indicates\n   the region in which to sample the polynomial system is box [-1.0,1.0]\n   x [-1.0,1.0] in Euclidean space\n-  execution\\_directory is a directory containing, at minimum:\n-  A *minimizer* directory which contains parameter homotopy files for\n   Bertini. Unless you have experience with Bertini, set these up with\n   ``sampling-setup``\n-  (*Recommended, not required*) A parameters file *parameters.json*.\n   See examples for format. If you include a *parameters.json* file and\n   use the option flag ``--parameters`` with ``tdasampling``, the\n   *parameters.json* file should include all the information except\n   ``execution_directory``, which can then be omitted from the command\n   line call.\n\nBasic usage for sampling-setup\n------------------------------\n\n.. code:: shell\n\n    $ sampling-setup [options] path_to_directory_to_setup\n\n-  The directory indicated at ``path_to_directory_to_setup`` should\n   contain a file named *polynomial\\_system*. The general format of that\n   file is text:\n\n::\n\n    list of variable names separated by commas\n    polynomial 1\n    polynomial 2 \n    ...\n    polynomial n\n\nFor example, if we were sampling from a circle of radius 1:\n\n::\n\n    x1,x2\n    x1^2 + x2^2 - 1\n\n-  ``--mpiexecutable /a/path/to/mpiexec`` option to indicate a path to\n   ``mpiexec``. Unnecesssary if your ``mpiexec`` can be called as\n   ``mpiexec``\n-  ``--bertini /a/path/to/bertini``: a path to your ``bertini``\n   executable if it cannot be called as ``bertini``\n-  ``--processors k``: the number of processes you would like to use for\n   the ``bertini`` solving run associated with setup\n-  ``--hosts name1,name2,...,namek``: list of ssh names for nodes to use\n   for the ``bertini`` computation. By default, the ``bertini`` run will\n   run only on your local machine\n\nLicense\n-------\n\ntdasampling is licensed under an MIT license.",
        "description_content_type": "",
        "docs_url": null,
        "download_url": "",
        "downloads": {
            "last_day": -1,
            "last_month": -1,
            "last_week": -1
        },
        "home_page": "https://github.com/P-Edwards/tdasampling",
        "keywords": "",
        "license": "MIT",
        "maintainer": "",
        "maintainer_email": "",
        "name": "tdasampling",
        "package_url": "https://pypi.org/project/tdasampling/",
        "platform": "",
        "project_url": "https://pypi.org/project/tdasampling/",
        "project_urls": {
            "Homepage": "https://github.com/P-Edwards/tdasampling"
        },
        "release_url": "https://pypi.org/project/tdasampling/1.1.4/",
        "requires_dist": null,
        "requires_python": "",
        "summary": "Compute dense samples of real algebraic varieties for use with topological data analysis tools.",
        "version": "1.1.4"
    },
    "last_serial": 5881525,
    "releases": {
        "1.0.0": [
            {
                "comment_text": "",
                "digests": {
                    "md5": "0529b9427dbb83484264ac1f3bfdafbf",
                    "sha256": "898ca952bec81a9f286bf9c4d4a7fb3a1be51530aab0bd67c2549f5294d8c358"
                },
                "downloads": -1,
                "filename": "tdasampling-1.0.0-py2-none-any.whl",
                "has_sig": false,
                "md5_digest": "0529b9427dbb83484264ac1f3bfdafbf",
                "packagetype": "bdist_wheel",
                "python_version": "py2",
                "requires_python": null,
                "size": 13889,
                "upload_time": "2018-03-07T00:47:00",
                "url": "https://files.pythonhosted.org/packages/55/65/b079f6b154eea5c715e3ddbb9db9c4555c8b87391f09d99052ce32c91f8e/tdasampling-1.0.0-py2-none-any.whl"
            },
            {
                "comment_text": "",
                "digests": {
                    "md5": "52372d6d3ff143fe5fd6f149f0590cd6",
                    "sha256": "9ab8b76a7d6ef121dc6a0ffb1cc1ec82d670d91a2ba11f2365b822270e5517fa"
                },
                "downloads": -1,
                "filename": "tdasampling-1.0.0.tar.gz",
                "has_sig": false,
                "md5_digest": "52372d6d3ff143fe5fd6f149f0590cd6",
                "packagetype": "sdist",
                "python_version": "source",
                "requires_python": null,
                "size": 10068,
                "upload_time": "2018-03-07T00:47:01",
                "url": "https://files.pythonhosted.org/packages/c2/07/645f525837554074d6966dd93d1da740a3c91e61c1ae8bc7d12aff579564/tdasampling-1.0.0.tar.gz"
            }
        ],
        "1.0.1": [
            {
                "comment_text": "",
                "digests": {
                    "md5": "3e3ca1d62012c403f916e99445bdbf43",
                    "sha256": "ec322dbffda20d6bae63798460b26ac1c61f64f1b5ab8d1888fb95a1e0334f5f"
                },
                "downloads": -1,
                "filename": "tdasampling-1.0.1-py2-none-any.whl",
                "has_sig": false,
                "md5_digest": "3e3ca1d62012c403f916e99445bdbf43",
                "packagetype": "bdist_wheel",
                "python_version": "py2",
                "requires_python": null,
                "size": 18315,
                "upload_time": "2018-03-07T01:14:04",
                "url": "https://files.pythonhosted.org/packages/54/4a/eb0b46297c5543ac778008620cc250851cb978556056e9e7a7af732913ee/tdasampling-1.0.1-py2-none-any.whl"
            }
        ],
        "1.0.2": [
            {
                "comment_text": "",
                "digests": {
                    "md5": "a034f7bbbdac42594852603b54222f7d",
                    "sha256": "965aecf2c436b3eb8986a36b5992c65fdf477ef35b04a8a90b7eadd5babb4555"
                },
                "downloads": -1,
                "filename": "tdasampling-1.0.2-py2-none-any.whl",
                "has_sig": false,
                "md5_digest": "a034f7bbbdac42594852603b54222f7d",
                "packagetype": "bdist_wheel",
                "python_version": "py2",
                "requires_python": null,
                "size": 18328,
                "upload_time": "2018-03-07T23:12:02",
                "url": "https://files.pythonhosted.org/packages/22/79/baa001f973495d70ef61e7ca77266924af394117b8e20ef91a1e3c8d5e68/tdasampling-1.0.2-py2-none-any.whl"
            }
        ],
        "1.0.3": [
            {
                "comment_text": "",
                "digests": {
                    "md5": "890dc5721cd9f0e884fd12f89b48ffba",
                    "sha256": "7a93d1d7821a0de2a07056689aa629882967af5cc6e3ea3d4e9d7a8b1e93163b"
                },
                "downloads": -1,
                "filename": "tdasampling-1.0.3-py2-none-any.whl",
                "has_sig": false,
                "md5_digest": "890dc5721cd9f0e884fd12f89b48ffba",
                "packagetype": "bdist_wheel",
                "python_version": "py2",
                "requires_python": null,
                "size": 18385,
                "upload_time": "2018-03-08T22:45:01",
                "url": "https://files.pythonhosted.org/packages/a7/0c/4e22da2e20714976bc9ade3e384f295cafa08998c20c2973b644509b9346/tdasampling-1.0.3-py2-none-any.whl"
            }
        ],
        "1.1.0": [
            {
                "comment_text": "",
                "digests": {
                    "md5": "03c539575deaa42ae7f2d277a726c157",
                    "sha256": "dc29561e9855eadf068ba56ae07de140c6231b88f13f55cc67cac3a39c1fee31"
                },
                "downloads": -1,
                "filename": "tdasampling-1.1.0.tar.gz",
                "has_sig": false,
                "md5_digest": "03c539575deaa42ae7f2d277a726c157",
                "packagetype": "sdist",
                "python_version": "source",
                "requires_python": null,
                "size": 172557,
                "upload_time": "2018-10-09T04:38:41",
                "url": "https://files.pythonhosted.org/packages/66/7c/c9a202d245eec5ac15024623b6345a9279197e46b93015d9bb15bc8108e4/tdasampling-1.1.0.tar.gz"
            }
        ],
        "1.1.1": [
            {
                "comment_text": "",
                "digests": {
                    "md5": "4f05703ecebdfd0fd6c39def54941c17",
                    "sha256": "b2cc90ebd95fb7dd995a2d8ba8d14619fc11ac0cb646b89473466c979a04fdd6"
                },
                "downloads": -1,
                "filename": "tdasampling-1.1.1.tar.gz",
                "has_sig": false,
                "md5_digest": "4f05703ecebdfd0fd6c39def54941c17",
                "packagetype": "sdist",
                "python_version": "source",
                "requires_python": null,
                "size": 173107,
                "upload_time": "2018-11-07T03:33:40",
                "url": "https://files.pythonhosted.org/packages/1c/f2/1d949c309d60f1d13383879a0f447d25a94cd5bd9a2789d229a1d47cb4a2/tdasampling-1.1.1.tar.gz"
            }
        ],
        "1.1.2": [
            {
                "comment_text": "",
                "digests": {
                    "md5": "f973c97de3b7390055752009e270413f",
                    "sha256": "454943a7b42265b9ed1b49791a1a8d050af19d45f2e9086362129b9b3af79426"
                },
                "downloads": -1,
                "filename": "tdasampling-1.1.2.tar.gz",
                "has_sig": false,
                "md5_digest": "f973c97de3b7390055752009e270413f",
                "packagetype": "sdist",
                "python_version": "source",
                "requires_python": null,
                "size": 172981,
                "upload_time": "2018-11-07T03:54:33",
                "url": "https://files.pythonhosted.org/packages/bb/70/ddf01918e22ec20c4734d5a79e09fcef4ba00cb60dedc63d0734d168ba8b/tdasampling-1.1.2.tar.gz"
            }
        ],
        "1.1.3": [
            {
                "comment_text": "",
                "digests": {
                    "md5": "7940dd69c13b4a5bec1972bf4cfc94ca",
                    "sha256": "e5a36c83b415260190e948987f3336a775fbf6bb00bef2e9087b21c65db7c78f"
                },
                "downloads": -1,
                "filename": "tdasampling-1.1.3.tar.gz",
                "has_sig": false,
                "md5_digest": "7940dd69c13b4a5bec1972bf4cfc94ca",
                "packagetype": "sdist",
                "python_version": "source",
                "requires_python": null,
                "size": 172952,
                "upload_time": "2019-07-06T19:38:51",
                "url": "https://files.pythonhosted.org/packages/91/c3/10b28fa279a561bdf2d27181cc52b33ffe3abdb2f826b7f23520e8f1d58d/tdasampling-1.1.3.tar.gz"
            }
        ],
        "1.1.4": [
            {
                "comment_text": "",
                "digests": {
                    "md5": "e1aacbaddcb53a77ab9fdd7d625ea1a4",
                    "sha256": "cfc74de9247f899d1cc0c286d20dc96ed2b86569cd6ea2ca0d6091dea5852e76"
                },
                "downloads": -1,
                "filename": "tdasampling-1.1.4.tar.gz",
                "has_sig": false,
                "md5_digest": "e1aacbaddcb53a77ab9fdd7d625ea1a4",
                "packagetype": "sdist",
                "python_version": "source",
                "requires_python": null,
                "size": 173042,
                "upload_time": "2019-09-24T19:36:18",
                "url": "https://files.pythonhosted.org/packages/fc/d9/e4c94ad12c009560b05a4839711a3851fc306401bbd6bfb374c40fbb7391/tdasampling-1.1.4.tar.gz"
            }
        ]
    },
    "urls": [
        {
            "comment_text": "",
            "digests": {
                "md5": "e1aacbaddcb53a77ab9fdd7d625ea1a4",
                "sha256": "cfc74de9247f899d1cc0c286d20dc96ed2b86569cd6ea2ca0d6091dea5852e76"
            },
            "downloads": -1,
            "filename": "tdasampling-1.1.4.tar.gz",
            "has_sig": false,
            "md5_digest": "e1aacbaddcb53a77ab9fdd7d625ea1a4",
            "packagetype": "sdist",
            "python_version": "source",
            "requires_python": null,
            "size": 173042,
            "upload_time": "2019-09-24T19:36:18",
            "url": "https://files.pythonhosted.org/packages/fc/d9/e4c94ad12c009560b05a4839711a3851fc306401bbd6bfb374c40fbb7391/tdasampling-1.1.4.tar.gz"
        }
    ]
}