{
    "info": {
        "author": "Michael Hirsch, Ph.D.",
        "author_email": "scivision@users.noreply.github.com",
        "bugtrack_url": null,
        "classifiers": [
            "Development Status :: 5 - Production/Stable",
            "Environment :: Console",
            "Intended Audience :: End Users/Desktop",
            "Operating System :: OS Independent",
            "Programming Language :: Python :: 3.5",
            "Programming Language :: Python :: 3.6",
            "Programming Language :: Python :: 3.7",
            "Programming Language :: Python :: 3.8",
            "Programming Language :: Python :: Implementation :: CPython",
            "Topic :: Scientific/Engineering",
            "Topic :: Utilities"
        ],
        "description": "[![Actions Status](https://github.com/scivision/airtools/workflows/ci/badge.svg)](https://github.com/scivision/airtools/actions)\n\n[![PyPi versions](https://img.shields.io/pypi/pyversions/airtools.svg)](https://pypi.python.org/pypi/airtools)\n[![PyPi Download stats](http://pepy.tech/badge/airtools)](http://pepy.tech/project/airtools)\n\n# AIRtools\n\nLimited subset of P.C. Hansen and J. S. J\u00f8rgensen\n[AIRtools 1.0](http://www2.compute.dtu.dk/~pcha/AIRtoolsII/)\nMatlab suite of inversion / regularization tools, along with some ReguTools functions.\nAlso includes linear constrained least squares solver using cvxopt in `lsqlin.py`\n\nMore function are available in Matlab from\n[AIRtools 2](https://github.com/jakobsj/AIRToolsII).\n\n\n## Install\n\n```sh\npython -m pip install -e .\n```\n\n## Usage\n\nJust paste the code from each test into your console for the function\nyou're interested in. Would you like to submit a pull request for an\ninversion example making a cool plot?\n\n* picard.py: Picard Plot\n* kaczmarz.py  Kaczmarz ART\n* maxent.py: Maximum Entropy Regularization  (from ReguTools)\n* rzr.py: remove unused or little used rows from tomographic projection matrix\n* lsqlin.py: linear constrained least squares solver\n* matlab/logmart.m:  Implementation of log-MART\n* fortran/logmart.f90: log-MART in Fortran\n\n\n### Examples\n\n[tests/test_all.py](./tests/test_all.py)\n\n### Tests\n\nRun a comparison of the Python code with the Matlab code in the [matlab](./matlab) directory by:\n\n    python airtools/tests/test_octave.py\n\nwhich runs the Matlab version via\n[Oct2Py](https://blink1073.github.io/oct2py/).",
        "description_content_type": "text/markdown",
        "docs_url": null,
        "download_url": "",
        "downloads": {
            "last_day": -1,
            "last_month": -1,
            "last_week": -1
        },
        "home_page": "https://github.com/scivision/airtools",
        "keywords": "regularization",
        "license": "",
        "maintainer": "",
        "maintainer_email": "",
        "name": "airtools",
        "package_url": "https://pypi.org/project/airtools/",
        "platform": "",
        "project_url": "https://pypi.org/project/airtools/",
        "project_urls": {
            "Homepage": "https://github.com/scivision/airtools"
        },
        "release_url": "https://pypi.org/project/airtools/1.2.0/",
        "requires_dist": null,
        "requires_python": ">= 3.5",
        "summary": "Python port of Matlab AIRtools and ReguTools regularization toolbox",
        "version": "1.2.0"
    },
    "last_serial": 5930356,
    "releases": {
        "1.1.0": [
            {
                "comment_text": "",
                "digests": {
                    "md5": "90799a9b6d615385aea08b5c4b7a5dbb",
                    "sha256": "b7776930d9dcff7a56fd7807691e369a3f01b5d9ea2904d8ba5f55058a73cc5c"
                },
                "downloads": -1,
                "filename": "airtools-1.1.0.tar.gz",
                "has_sig": false,
                "md5_digest": "90799a9b6d615385aea08b5c4b7a5dbb",
                "packagetype": "sdist",
                "python_version": "source",
                "requires_python": ">= 3.5",
                "size": 10809,
                "upload_time": "2019-05-30T14:06:01",
                "url": "https://files.pythonhosted.org/packages/53/4f/400333d8647d674e43a64ed9c83916b895450ac7c434bbb2652e6013dc20/airtools-1.1.0.tar.gz"
            }
        ],
        "1.2.0": [
            {
                "comment_text": "",
                "digests": {
                    "md5": "54b7bacb196a6f7a6229afb462feb9ef",
                    "sha256": "39b4a66e4901ded589754efc213d83bf4debc7c5bb623062f38dabcee38ce789"
                },
                "downloads": -1,
                "filename": "airtools-1.2.0.tar.gz",
                "has_sig": false,
                "md5_digest": "54b7bacb196a6f7a6229afb462feb9ef",
                "packagetype": "sdist",
                "python_version": "source",
                "requires_python": ">= 3.5",
                "size": 10379,
                "upload_time": "2019-10-04T22:07:19",
                "url": "https://files.pythonhosted.org/packages/7f/d3/c34a8b1ce4361efcaa018b3995c4dfa1599f2c781db37b3a999199a705e6/airtools-1.2.0.tar.gz"
            }
        ]
    },
    "urls": [
        {
            "comment_text": "",
            "digests": {
                "md5": "54b7bacb196a6f7a6229afb462feb9ef",
                "sha256": "39b4a66e4901ded589754efc213d83bf4debc7c5bb623062f38dabcee38ce789"
            },
            "downloads": -1,
            "filename": "airtools-1.2.0.tar.gz",
            "has_sig": false,
            "md5_digest": "54b7bacb196a6f7a6229afb462feb9ef",
            "packagetype": "sdist",
            "python_version": "source",
            "requires_python": ">= 3.5",
            "size": 10379,
            "upload_time": "2019-10-04T22:07:19",
            "url": "https://files.pythonhosted.org/packages/7f/d3/c34a8b1ce4361efcaa018b3995c4dfa1599f2c781db37b3a999199a705e6/airtools-1.2.0.tar.gz"
        }
    ]
}