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python-lorem v1.0.0

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@JarryShaw JarryShaw released this 27 Sep 13:49
· 266 commits to master since this release
v1.0.0
b769a0c

python-lorem - Initial Release

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]