lorem


Namelorem JSON
Version 0.1.1 PyPI version JSON
download
home_pagehttps://github.com/sfischer13/python-lorem
SummaryGenerator for random text that looks like Latin.
upload_time2016-06-18 21:15:54
maintainer
docs_urlNone
authorStefan Fischer
requires_python
licenseMIT
keywords lorem ipsum random text placeholder
VCS
bugtrack_url
requirements No requirements were recorded.
Travis-CI
coveralls test coverage No coveralls.
            ====================
Python Lorem Package
====================

.. image:: https://img.shields.io/pypi/v/lorem.svg
        :target: https://pypi.python.org/pypi/lorem

.. image:: https://img.shields.io/travis/sfischer13/python-lorem.svg
        :target: https://travis-ci.org/sfischer13/python-lorem


Summary
-------

Generator for random text that looks like Latin.

Simple Example
--------------

.. code:: python

    import lorem

    s = lorem.sentence()  # 'Eius dolorem dolorem labore neque.'
    p = lorem.paragraph()
    t = lorem.text()

Complex Example
---------------

.. code:: python

    from lorem.text import TextLorem

    # separate words by '-'
    # sentence length should be between 2 and 3
    # choose words from A, B, C and D
    lorem = TextLorem(wsep='-', srange=(2,3), words="A B C D".split())

    s1 = lorem.sentence()  # 'C-B.'
    s2 = lorem.sentence()  # 'C-A-C.'


=======
History
=======

0.1.1 (2016-06-18)
------------------

* Update documentation

0.1.0 (2016-06-17)
------------------

* Minimum viable product

0.0.1 (2016-06-14)
------------------

* First release on PyPI.
            

Raw data

            {
    "_id": null,
    "home_page": "https://github.com/sfischer13/python-lorem",
    "name": "lorem",
    "maintainer": "",
    "docs_url": null,
    "requires_python": "",
    "maintainer_email": "",
    "keywords": "lorem ipsum random text placeholder",
    "author": "Stefan Fischer",
    "author_email": "sfischer13@ymail.com",
    "download_url": "https://files.pythonhosted.org/packages/3a/ae/6a5d8faaec3bc847ae1999e760f76c7238cefd99452e040e4aea5f723738/lorem-0.1.1.tar.gz",
    "platform": "UNKNOWN",
    "description": "====================\nPython Lorem Package\n====================\n\n.. image:: https://img.shields.io/pypi/v/lorem.svg\n        :target: https://pypi.python.org/pypi/lorem\n\n.. image:: https://img.shields.io/travis/sfischer13/python-lorem.svg\n        :target: https://travis-ci.org/sfischer13/python-lorem\n\n\nSummary\n-------\n\nGenerator for random text that looks like Latin.\n\nSimple Example\n--------------\n\n.. code:: python\n\n    import lorem\n\n    s = lorem.sentence()  # 'Eius dolorem dolorem labore neque.'\n    p = lorem.paragraph()\n    t = lorem.text()\n\nComplex Example\n---------------\n\n.. code:: python\n\n    from lorem.text import TextLorem\n\n    # separate words by '-'\n    # sentence length should be between 2 and 3\n    # choose words from A, B, C and D\n    lorem = TextLorem(wsep='-', srange=(2,3), words=\"A B C D\".split())\n\n    s1 = lorem.sentence()  # 'C-B.'\n    s2 = lorem.sentence()  # 'C-A-C.'\n\n\n=======\nHistory\n=======\n\n0.1.1 (2016-06-18)\n------------------\n\n* Update documentation\n\n0.1.0 (2016-06-17)\n------------------\n\n* Minimum viable product\n\n0.0.1 (2016-06-14)\n------------------\n\n* First release on PyPI.",
    "bugtrack_url": null,
    "license": "MIT",
    "summary": "Generator for random text that looks like Latin.",
    "version": "0.1.1",
    "split_keywords": [
        "lorem",
        "ipsum",
        "random",
        "text",
        "placeholder"
    ],
    "urls": [
        {
            "comment_text": "",
            "digests": {
                "md5": "98ac9ba015747135d331d12dd3751d82",
                "sha256": "c9c2914b5a772022417c398bd74b7bbd712e73ff029ba82720855e458f13ae42"
            },
            "downloads": -1,
            "filename": "lorem-0.1.1-py3-none-any.whl",
            "has_sig": false,
            "md5_digest": "98ac9ba015747135d331d12dd3751d82",
            "packagetype": "bdist_wheel",
            "python_version": "py3",
            "requires_python": null,
            "size": 4999,
            "upload_time": "2016-06-18T21:15:50",
            "upload_time_iso_8601": "2016-06-18T21:15:50.562620Z",
            "url": "https://files.pythonhosted.org/packages/90/7e/963834e2a400cefdf72af1e10a106c9e849cb4c149cc7b394cb1492effec/lorem-0.1.1-py3-none-any.whl",
            "yanked": false,
            "yanked_reason": null
        },
        {
            "comment_text": "",
            "digests": {
                "md5": "e3f0064a94c13e19780eb724affdb426",
                "sha256": "785f4109a241fc2891e59705e85d065f6e6d3ed6ad91750a8cb54d4f3e59d934"
            },
            "downloads": -1,
            "filename": "lorem-0.1.1.tar.gz",
            "has_sig": false,
            "md5_digest": "e3f0064a94c13e19780eb724affdb426",
            "packagetype": "sdist",
            "python_version": "source",
            "requires_python": null,
            "size": 3913,
            "upload_time": "2016-06-18T21:15:54",
            "upload_time_iso_8601": "2016-06-18T21:15:54.335586Z",
            "url": "https://files.pythonhosted.org/packages/3a/ae/6a5d8faaec3bc847ae1999e760f76c7238cefd99452e040e4aea5f723738/lorem-0.1.1.tar.gz",
            "yanked": false,
            "yanked_reason": null
        }
    ],
    "upload_time": "2016-06-18 21:15:54",
    "github": true,
    "gitlab": false,
    "bitbucket": false,
    "github_user": "sfischer13",
    "github_project": "python-lorem",
    "travis_ci": true,
    "coveralls": false,
    "github_actions": false,
    "requirements": [],
    "lcname": "lorem"
}
        
Elapsed time: 0.11329s