lorem-text


Namelorem-text JSON
Version 2.1 PyPI version JSON
download
home_pagehttps://github.com/TheAbhijeet/lorem_text
SummaryDummy lorem ipsum text generator
upload_time2021-10-16 06:10:53
maintainer
docs_urlNone
authorAbhijeet Pal
requires_python>=3.5
licenseMIT license
keywords lorem_text
VCS
bugtrack_url
requirements No requirements were recorded.
Travis-CI
coveralls test coverage No coveralls.
            ==========
Lorem Text
==========


.. image:: https://travis-ci.org/TheAbhijeet/lorem_text.svg?branch=master
        :target: https://travis-ci.org/TheAbhijeet/lorem_text

.. image:: https://readthedocs.org/projects/lorem-text/badge/?version=latest
        :target: https://lorem-text.readthedocs.io/en/latest/?badge=latest
        :alt: Documentation Status




Dummy lorem ipsum text generator


* Free software: MIT license
* Documentation: https://lorem-text.readthedocs.io.


Features
--------
Dummy lorem ipsum text generator for Python.

* Generate dummy senetnce, paragraphs and words.
* Command line interface tool included.

=====
Usage
=====

To install Lorem Text, run this command in your terminal::

        pip install lorem-text


To use Lorem Text in a project::

    from lorem_text import lorem


For randomly generated sentence of lorem ipsum text where the first word is capitalized, and the sentence ends in either a period or question mark::

    lorem.sentence()

Generate a single paragraph::

    lorem.paragraph()


Generate multiple paragraphs of lorem ipsum text each paragraph's consists of 2 to 4 sentences::

    paragraph_length = 5
    lorem.paragraphs(paragraph_length)


Generate random lorem ipsum words seperated with single space::

    words = 10
    lorem.words(words)


Command Line Interface
----------------------

For randomly generated paragraph of lorem ipsum text::

    lorem_text

Lorem ipsum sentence::

    lorem_text --s

Lorem ipsum words::

    lorem_text --words=50

============
Contributing
============

Contributions are welcome, and they are greatly appreciated! Every little bit
helps, and credit will always be given.


Credits
-------

This package was created with Cookiecutter_ and the `audreyr/cookiecutter-pypackage`_ project template.

.. _Cookiecutter: https://github.com/audreyr/cookiecutter
.. _`audreyr/cookiecutter-pypackage`: https://github.com/audreyr/cookiecutter-pypackage


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

1.0 (2020-01-06)
------------------

* First release on PyPI.


2.1 (2021-10-16)
------------------

* Second release on PyPI.



            

Raw data

            {
    "_id": null,
    "home_page": "https://github.com/TheAbhijeet/lorem_text",
    "name": "lorem-text",
    "maintainer": "",
    "docs_url": null,
    "requires_python": ">=3.5",
    "maintainer_email": "",
    "keywords": "lorem_text",
    "author": "Abhijeet Pal",
    "author_email": "",
    "download_url": "https://files.pythonhosted.org/packages/bc/cb/845cec9407543b651e1d6313ffdd80c631a5aa4fc42dcc50dbf2d7170278/lorem_text-2.1.tar.gz",
    "platform": "",
    "description": "==========\nLorem Text\n==========\n\n\n.. image:: https://travis-ci.org/TheAbhijeet/lorem_text.svg?branch=master\n        :target: https://travis-ci.org/TheAbhijeet/lorem_text\n\n.. image:: https://readthedocs.org/projects/lorem-text/badge/?version=latest\n        :target: https://lorem-text.readthedocs.io/en/latest/?badge=latest\n        :alt: Documentation Status\n\n\n\n\nDummy lorem ipsum text generator\n\n\n* Free software: MIT license\n* Documentation: https://lorem-text.readthedocs.io.\n\n\nFeatures\n--------\nDummy lorem ipsum text generator for Python.\n\n* Generate dummy senetnce, paragraphs and words.\n* Command line interface tool included.\n\n=====\nUsage\n=====\n\nTo install Lorem Text, run this command in your terminal::\n\n        pip install lorem-text\n\n\nTo use Lorem Text in a project::\n\n    from lorem_text import lorem\n\n\nFor randomly generated sentence of lorem ipsum text where the first word is capitalized, and the sentence ends in either a period or question mark::\n\n    lorem.sentence()\n\nGenerate a single paragraph::\n\n    lorem.paragraph()\n\n\nGenerate multiple paragraphs of lorem ipsum text each paragraph's consists of 2 to 4 sentences::\n\n    paragraph_length = 5\n    lorem.paragraphs(paragraph_length)\n\n\nGenerate random lorem ipsum words seperated with single space::\n\n    words = 10\n    lorem.words(words)\n\n\nCommand Line Interface\n----------------------\n\nFor randomly generated paragraph of lorem ipsum text::\n\n    lorem_text\n\nLorem ipsum sentence::\n\n    lorem_text --s\n\nLorem ipsum words::\n\n    lorem_text --words=50\n\n============\nContributing\n============\n\nContributions are welcome, and they are greatly appreciated! Every little bit\nhelps, and credit will always be given.\n\n\nCredits\n-------\n\nThis package was created with Cookiecutter_ and the `audreyr/cookiecutter-pypackage`_ project template.\n\n.. _Cookiecutter: https://github.com/audreyr/cookiecutter\n.. _`audreyr/cookiecutter-pypackage`: https://github.com/audreyr/cookiecutter-pypackage\n\n\n=======\nHistory\n=======\n\n1.0 (2020-01-06)\n------------------\n\n* First release on PyPI.\n\n\n2.1 (2021-10-16)\n------------------\n\n* Second release on PyPI.\n\n\n",
    "bugtrack_url": null,
    "license": "MIT license",
    "summary": "Dummy lorem ipsum text generator",
    "version": "2.1",
    "split_keywords": [
        "lorem_text"
    ],
    "urls": [
        {
            "comment_text": "",
            "digests": {
                "md5": "eb2ab19797adb665a4a69dcdfacfbd8d",
                "sha256": "b512779addd08dcc221460ce428f7911b198f66c5763410f3de6d788eb62ceb3"
            },
            "downloads": -1,
            "filename": "lorem_text-2.1-py2.py3-none-any.whl",
            "has_sig": false,
            "md5_digest": "eb2ab19797adb665a4a69dcdfacfbd8d",
            "packagetype": "bdist_wheel",
            "python_version": "py2.py3",
            "requires_python": ">=3.5",
            "size": 5987,
            "upload_time": "2021-10-16T06:10:50",
            "upload_time_iso_8601": "2021-10-16T06:10:50.756884Z",
            "url": "https://files.pythonhosted.org/packages/73/34/6f1379fbce673d1d83245884763c5ec114363933330bf5fec275a8903ca5/lorem_text-2.1-py2.py3-none-any.whl",
            "yanked": false,
            "yanked_reason": null
        },
        {
            "comment_text": "",
            "digests": {
                "md5": "586e602da0e11c76e7f3d4a84a490f57",
                "sha256": "b984b5570295084012f5a9385672bab3470965c943b73d8d71a6efcd7a62b5c3"
            },
            "downloads": -1,
            "filename": "lorem_text-2.1.tar.gz",
            "has_sig": false,
            "md5_digest": "586e602da0e11c76e7f3d4a84a490f57",
            "packagetype": "sdist",
            "python_version": "source",
            "requires_python": ">=3.5",
            "size": 12943,
            "upload_time": "2021-10-16T06:10:53",
            "upload_time_iso_8601": "2021-10-16T06:10:53.416887Z",
            "url": "https://files.pythonhosted.org/packages/bc/cb/845cec9407543b651e1d6313ffdd80c631a5aa4fc42dcc50dbf2d7170278/lorem_text-2.1.tar.gz",
            "yanked": false,
            "yanked_reason": null
        }
    ],
    "upload_time": "2021-10-16 06:10:53",
    "github": true,
    "gitlab": false,
    "bitbucket": false,
    "github_user": "TheAbhijeet",
    "github_project": "lorem_text",
    "travis_ci": true,
    "coveralls": false,
    "github_actions": true,
    "tox": true,
    "lcname": "lorem-text"
}
        
Elapsed time: 0.01575s