Skip to main content

Lorem ipsum generator.

Project description

Lorem ipsum generator.

In publishing and graphic design, lorem ipsum is a placeholder text commonly used to demonstrate the visual form of a document or a typeface without relying on meaningful content.

The lorem module provides a generic access to generating the lorem ipsum text from its very original text:

Lorem ipsum dolor sit amet, consectetur adipiscing elit, sed do eiusmod tempor incididunt ut labore et dolore magna aliqua. Ut enim ad minim veniam, quis nostrud exercitation ullamco laboris nisi ut aliquip ex ea commodo consequat. Duis aute irure dolor in reprehenderit in voluptate velit esse cillum dolore eu fugiat nulla pariatur. Excepteur sint occaecat cupidatat non proident, sunt in culpa qui officia deserunt mollit anim id est laborum.

Usage of the lorem module is rather simple. Depending on your needs, the lorem module provides generation of words, sentences, and paragraphs.

Get Random Words

The lorem module provides two different ways for getting random words.

  1. word -- generate a list of random words

    word(count=1, func=None, args=[], kwargs={}) -> Iterable[str]
    
  2. get_word -- return random words

    get_word(count=1, sep=' ', func=None, args=[], kwargs={}) -> str
    

Get Random Sentences

The lorem module provides two different ways for getting random sentences.

  1. sentence -- generate a list of random sentences

    sentence(count=1, comma=(0, 2), word_range=(4, 8)) -> Iterable[str]
    
  2. get_sentence -- return random sentences

    get_sentence(count=1, comma=(0, 2), word_range=(4, 8), sep=' ') -> Union[str]
    

Get Random Paragraphs

The lorem module provides two different ways for getting random paragraphs.

  1. paragraph -- generate a list of random paragraphs

    paragraph(count=1, comma=(0, 2), word_range=(4, 8), sentence_range=(5, 10)) -> Iterable[str]
    
  2. get_paragraph -- return random paragraphs

    get_paragraph(count=1, comma=(0, 2), word_range=(4, 8), sentence_range=(5, 10), sep=os.linesep) -> Union[str]
    

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

python-lorem-1.0.0.tar.gz (9.7 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

python_lorem-1.0.0-py3-none-any.whl (6.9 kB view details)

Uploaded Python 3

File details

Details for the file python-lorem-1.0.0.tar.gz.

File metadata

  • Download URL: python-lorem-1.0.0.tar.gz
  • Upload date:
  • Size: 9.7 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/1.14.0 pkginfo/1.5.0.1 requests/2.22.0 setuptools/41.2.0 requests-toolbelt/0.9.1 tqdm/4.35.0 CPython/3.7.4

File hashes

Hashes for python-lorem-1.0.0.tar.gz
Algorithm Hash digest
SHA256 2d629e6a081ec09427a27cdfa47ccac68c44fe8b05b3c9abfe5cfd48c0b9915f
MD5 4c28b11a643a66f959f34e9e52705355
BLAKE2b-256 941fab051b242d482b185beec4480f5d55733c1024bae82498fccc07f6802465

See more details on using hashes here.

File details

Details for the file python_lorem-1.0.0-py3-none-any.whl.

File metadata

  • Download URL: python_lorem-1.0.0-py3-none-any.whl
  • Upload date:
  • Size: 6.9 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/1.14.0 pkginfo/1.5.0.1 requests/2.22.0 setuptools/41.2.0 requests-toolbelt/0.9.1 tqdm/4.35.0 CPython/3.7.4

File hashes

Hashes for python_lorem-1.0.0-py3-none-any.whl
Algorithm Hash digest
SHA256 dd82e83c40869b8d1af48c17b8cc696d7e9e17e6d03d0e03088e6c6c61f237f7
MD5 fd64737b05bbf4815acc940b7c3606ae
BLAKE2b-256 04b531f24ab53d9fb52a9be276ecfb4eb83c7b178928141f14a6aa3cc987e357

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page