{
    "info": {
        "author": "Jason Eu",
        "author_email": "morty.yu@yahoo.com",
        "bugtrack_url": null,
        "classifiers": [
            "Intended Audience :: Science/Research",
            "License :: OSI Approved :: MIT License",
            "Natural Language :: Chinese (Simplified)",
            "Natural Language :: English",
            "Operating System :: POSIX :: Linux",
            "Programming Language :: Python :: 2.7",
            "Programming Language :: Python :: 3.5",
            "Programming Language :: Python :: 3.6",
            "Topic :: Scientific/Engineering :: Chemistry",
            "Topic :: Scientific/Engineering :: Physics"
        ],
        "description": "pniggli\n========================================\n\nThis is a (P)ure python implementation of algorithm to determin Niggli cell.\nThe library supports both 2D and 3D niggli transformations.\n\nRows of list or rows of `numpy.ndarray` correspond basis vectors, a, b, c or a, b\nThey are input to niggli_reduce as a row with three colum  matrices,\nsame as most DFT softwares' lattice inputs.\n\nIn the implementation details, since the lattice is represented by a row vector,\nthe transformation operation on the lattice is left-multiplied, such as:\n\n.. code-block:: python\n\n    import numpy as np\n\n    # TMatrix is the transform matrix\n    new_Lattice = np.matmul(TMatrix, old_Lattice)\n\nFor details of the algorithm, see [[Niggli for 2d and 3d]](http://)\n\nInstall\n----------\n\n.. code-block:: shell\n\n    $ pip install pniggli\n\nUsage\n----------\n\n.. code-block:: python\n\n    from pniggli import niggli_reduce, niggli_check\n\n    lattice_3D = [4.912, 0.000, 0.000,\n                -2.456, 4.254, 0.000,\n                0.000, 0.000, 0.000]\n    niggli_lattice = niggli_reduce(lattice_3D)\n    print(niggli_lattice)\n    # Out:\n    # array([[ 4.912,  0.   ,  0.   ],\n    #        [-2.456,  4.254,  0.   ],\n    #        [ 0.   ,  0.   , 16.   ]])\n    print(niggli_check(niggli_lattice)) # True\n\n    lattice_2D = [2.4560000896, 0.0000000000,\n                11.0520002567, 2.1269502021]\n    niggli_lattice = niggli_reduce(lattice_2D)\n    print(niggli_lattice)\n    # Out[6]:\n    # array([[-1.2279999 , -2.1269502 ],\n    #        [-1.22800019,  2.1269502 ]])\n\n\nThe 2D example is a triangle motif.\n\nVersion\n----------\n\nv0.1.2\n########\n+ 2D and 3D niggli reduce support\n+ niggli_check for 3D lattice\n\nv0.1.0\n#######\n+ 3D niggli reduce support\n+ niggli_check for 3D lattice\n\n\n",
        "description_content_type": "",
        "docs_url": null,
        "download_url": "",
        "downloads": {
            "last_day": -1,
            "last_month": -1,
            "last_week": -1
        },
        "home_page": "",
        "keywords": "niggli material strucutre cell",
        "license": "MIT, with atztogo/niggli LICENSE",
        "maintainer": "",
        "maintainer_email": "",
        "name": "pniggli",
        "package_url": "https://pypi.org/project/pniggli/",
        "platform": "",
        "project_url": "https://pypi.org/project/pniggli/",
        "project_urls": null,
        "release_url": "https://pypi.org/project/pniggli/0.1.3/",
        "requires_dist": [
            "numpy",
            "spglib",
            "pip ; extra == 'dev'",
            "pytest ; extra == 'dev'",
            "pytest-cov ; extra == 'dev'",
            "twine ; extra == 'dev'",
            "ipython ; extra == 'dev'"
        ],
        "requires_python": "",
        "summary": "Structures of Alloys Generation And Recognition",
        "version": "0.1.3"
    },
    "last_serial": 5187277,
    "releases": {
        "0.1.0": [
            {
                "comment_text": "",
                "digests": {
                    "md5": "f6ee7e335d7a2b4a8db319f8f6b5a5cf",
                    "sha256": "6c3a2b12752c0008808f5c4fdc058d955ebc504cdd85960eda3d7d38d59a8492"
                },
                "downloads": -1,
                "filename": "pniggli-0.1.0-py2.py3-none-any.whl",
                "has_sig": false,
                "md5_digest": "f6ee7e335d7a2b4a8db319f8f6b5a5cf",
                "packagetype": "bdist_wheel",
                "python_version": "py2.py3",
                "requires_python": null,
                "size": 6006,
                "upload_time": "2019-04-25T06:25:42",
                "url": "https://files.pythonhosted.org/packages/20/e3/35ab559e8d7c072fd73c6ea0f4a82b95e8e8ade41d0b8af7350b799d0c61/pniggli-0.1.0-py2.py3-none-any.whl"
            },
            {
                "comment_text": "",
                "digests": {
                    "md5": "3566bdc40f04bf3dfea3219de755749e",
                    "sha256": "62bf40d6058053bcd677395cc4a2297395d46bafe60083da99d26930333b6dd5"
                },
                "downloads": -1,
                "filename": "pniggli-0.1.0.tar.gz",
                "has_sig": false,
                "md5_digest": "3566bdc40f04bf3dfea3219de755749e",
                "packagetype": "sdist",
                "python_version": "source",
                "requires_python": null,
                "size": 4549,
                "upload_time": "2019-04-25T06:25:45",
                "url": "https://files.pythonhosted.org/packages/92/0a/28155d0cf7d93c1e7e11d9feb61688e2192fb33b00b0d26c63351761f426/pniggli-0.1.0.tar.gz"
            }
        ],
        "0.1.1": [
            {
                "comment_text": "",
                "digests": {
                    "md5": "732f49dbb94063a87f6855d36115107d",
                    "sha256": "1bb0eaa52597a4c255dd51e78db407af3bc408fd87cdc6aef2dfcae026f83406"
                },
                "downloads": -1,
                "filename": "pniggli-0.1.1-py2.py3-none-any.whl",
                "has_sig": false,
                "md5_digest": "732f49dbb94063a87f6855d36115107d",
                "packagetype": "bdist_wheel",
                "python_version": "py2.py3",
                "requires_python": null,
                "size": 7259,
                "upload_time": "2019-04-25T09:30:28",
                "url": "https://files.pythonhosted.org/packages/ce/71/0cf478f32468d26ae8443c16ca4787f7c227cda9a8c7453016d0f39ca0ef/pniggli-0.1.1-py2.py3-none-any.whl"
            },
            {
                "comment_text": "",
                "digests": {
                    "md5": "902067c9026cf80007df18f769a3a021",
                    "sha256": "a1927ff8c3524ccd526d77bd98e3cc9db2d724b11dc15867bac5bfefe1ab9b73"
                },
                "downloads": -1,
                "filename": "pniggli-0.1.1.tar.gz",
                "has_sig": false,
                "md5_digest": "902067c9026cf80007df18f769a3a021",
                "packagetype": "sdist",
                "python_version": "source",
                "requires_python": null,
                "size": 4900,
                "upload_time": "2019-04-25T09:30:29",
                "url": "https://files.pythonhosted.org/packages/23/a2/9c9ce0321313d9244133db7872ca12e45513ed012ac988b952d88213a279/pniggli-0.1.1.tar.gz"
            }
        ],
        "0.1.2": [
            {
                "comment_text": "",
                "digests": {
                    "md5": "7aac3059ba7042533f8e91c48a2f3a4a",
                    "sha256": "0de3c8724a8dd2ccd640a5be0976a87f2399ef67b7cb0b46c8ea27c2a49937f0"
                },
                "downloads": -1,
                "filename": "pniggli-0.1.2-py2.py3-none-any.whl",
                "has_sig": false,
                "md5_digest": "7aac3059ba7042533f8e91c48a2f3a4a",
                "packagetype": "bdist_wheel",
                "python_version": "py2.py3",
                "requires_python": null,
                "size": 8185,
                "upload_time": "2019-04-25T10:30:24",
                "url": "https://files.pythonhosted.org/packages/6e/4a/e4c588d9122e95b909b26a6e3105e8a5f1fbb4a846729026bfa50d08dc22/pniggli-0.1.2-py2.py3-none-any.whl"
            },
            {
                "comment_text": "",
                "digests": {
                    "md5": "320fe6a3b38fc90242b026174b77806c",
                    "sha256": "54be6d47adaabb64a6c6bfc673e0f1ac5c2b34d9b68699d0bf0df8bc1fb7c079"
                },
                "downloads": -1,
                "filename": "pniggli-0.1.2.tar.gz",
                "has_sig": false,
                "md5_digest": "320fe6a3b38fc90242b026174b77806c",
                "packagetype": "sdist",
                "python_version": "source",
                "requires_python": null,
                "size": 5855,
                "upload_time": "2019-04-25T10:30:26",
                "url": "https://files.pythonhosted.org/packages/8b/a0/f1386afff7a9a4eaabf2e93e8df90ad4838f7f1a7a549c3e8647e53c578f/pniggli-0.1.2.tar.gz"
            }
        ],
        "0.1.2a0": [
            {
                "comment_text": "",
                "digests": {
                    "md5": "b8ebe917f92e872cf5f758978f5f132f",
                    "sha256": "2b261208106e2e3a3db350f2580c19c4af22f859c4c49abd12c49644e6e7cd34"
                },
                "downloads": -1,
                "filename": "pniggli-0.1.2a0-py2.py3-none-any.whl",
                "has_sig": false,
                "md5_digest": "b8ebe917f92e872cf5f758978f5f132f",
                "packagetype": "bdist_wheel",
                "python_version": "py2.py3",
                "requires_python": null,
                "size": 8238,
                "upload_time": "2019-04-25T10:56:17",
                "url": "https://files.pythonhosted.org/packages/12/b7/641ee57a50f3f641267777173e9ec3bcaa9bf67be6598d24356bb44e723d/pniggli-0.1.2a0-py2.py3-none-any.whl"
            },
            {
                "comment_text": "",
                "digests": {
                    "md5": "dcabccd5967145085a8376d26fef2ac1",
                    "sha256": "93ec753268b83e78e1ce3afff76ef8c4adb6dc1aedb35d879d84002bc1364ef0"
                },
                "downloads": -1,
                "filename": "pniggli-0.1.2a0.tar.gz",
                "has_sig": false,
                "md5_digest": "dcabccd5967145085a8376d26fef2ac1",
                "packagetype": "sdist",
                "python_version": "source",
                "requires_python": null,
                "size": 5883,
                "upload_time": "2019-04-25T10:56:18",
                "url": "https://files.pythonhosted.org/packages/84/e9/2eef491ac5b12bc62d1739c4cb714955289ea42ec2564f3cd1b5eb08a2c9/pniggli-0.1.2a0.tar.gz"
            }
        ],
        "0.1.3": [
            {
                "comment_text": "",
                "digests": {
                    "md5": "667290e0964e8889270ed21bf467e259",
                    "sha256": "6ccbd1c3fad9d638a6ab3f7be1560eb70016f881a02ac184725f654803588f31"
                },
                "downloads": -1,
                "filename": "pniggli-0.1.3-py2.py3-none-any.whl",
                "has_sig": false,
                "md5_digest": "667290e0964e8889270ed21bf467e259",
                "packagetype": "bdist_wheel",
                "python_version": "py2.py3",
                "requires_python": null,
                "size": 8204,
                "upload_time": "2019-04-25T10:57:57",
                "url": "https://files.pythonhosted.org/packages/50/88/d471fcf9ab23e80087c25c02ed23c0f915f6ccd073996e4e6ce098ee77d5/pniggli-0.1.3-py2.py3-none-any.whl"
            },
            {
                "comment_text": "",
                "digests": {
                    "md5": "6a5bc419f3dd3bedc0bd75efc5dd870b",
                    "sha256": "2916cfbe96b6b2c3f580aa81f4d57fa8b4a8cc8085f29d72f1351a6af3482346"
                },
                "downloads": -1,
                "filename": "pniggli-0.1.3.tar.gz",
                "has_sig": false,
                "md5_digest": "6a5bc419f3dd3bedc0bd75efc5dd870b",
                "packagetype": "sdist",
                "python_version": "source",
                "requires_python": null,
                "size": 5878,
                "upload_time": "2019-04-25T10:57:58",
                "url": "https://files.pythonhosted.org/packages/af/dd/ac558aa8cf5c48861d0b765eb2c6b44e93ecf6359ec95c7fdc102c54a3cc/pniggli-0.1.3.tar.gz"
            }
        ]
    },
    "urls": [
        {
            "comment_text": "",
            "digests": {
                "md5": "667290e0964e8889270ed21bf467e259",
                "sha256": "6ccbd1c3fad9d638a6ab3f7be1560eb70016f881a02ac184725f654803588f31"
            },
            "downloads": -1,
            "filename": "pniggli-0.1.3-py2.py3-none-any.whl",
            "has_sig": false,
            "md5_digest": "667290e0964e8889270ed21bf467e259",
            "packagetype": "bdist_wheel",
            "python_version": "py2.py3",
            "requires_python": null,
            "size": 8204,
            "upload_time": "2019-04-25T10:57:57",
            "url": "https://files.pythonhosted.org/packages/50/88/d471fcf9ab23e80087c25c02ed23c0f915f6ccd073996e4e6ce098ee77d5/pniggli-0.1.3-py2.py3-none-any.whl"
        },
        {
            "comment_text": "",
            "digests": {
                "md5": "6a5bc419f3dd3bedc0bd75efc5dd870b",
                "sha256": "2916cfbe96b6b2c3f580aa81f4d57fa8b4a8cc8085f29d72f1351a6af3482346"
            },
            "downloads": -1,
            "filename": "pniggli-0.1.3.tar.gz",
            "has_sig": false,
            "md5_digest": "6a5bc419f3dd3bedc0bd75efc5dd870b",
            "packagetype": "sdist",
            "python_version": "source",
            "requires_python": null,
            "size": 5878,
            "upload_time": "2019-04-25T10:57:58",
            "url": "https://files.pythonhosted.org/packages/af/dd/ac558aa8cf5c48861d0b765eb2c6b44e93ecf6359ec95c7fdc102c54a3cc/pniggli-0.1.3.tar.gz"
        }
    ]
}