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Lorem Ipsum

Lipsum is a small Rust library for generating pseudo-Latin lorem ipsum filler text. This is a standard placeholder text used in publishing. It starts with:

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…

The text is generated using a Markov chain that has been trained on the first book in Cicero's work De finibus bonorum et malorum (On the ends of good and evil), of which the lorem ipsum text is a scrambled subset.

Usage

Add this to your Cargo.toml:

[dependencies]
lipsum = "0.9"

Documentation

Please see the API documentation.

Getting Started

Use the lipsum function to generate lorem ipsum text:

use lipsum::lipsum;

fn main() {
    // Print 25 random words of lorem ipsum text.
    println!("{}", lipsum(25));
}

This generates the lorem ipsum text show above:

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…

The text becomes random after 18 words, so you might not see exactly the same text.

Use lipsum_title instead if you just need a short text suitable for a document title or a section heading. The text generated by that function looks like this:

Refugiendi et Omnino Rerum

Small words are kept uncapitalized and punctuation is stripped from all words.

Release History

This is a changelog with the most important changes in each release.

Version 0.9.1 (2024-03-13)

  • #100: Add lipsum_title_with_rng function.
  • #102: Document MSRV in Cargo.toml.
  • #103: Enable dependabot updates.

Version 0.9.0 (2023-03-28)

  • #90: Test minimum supported Rust version (Rust 1.56) in CI
  • #91: Remove dependency on system randomness

Version 0.8.2 (2022-06-06)

  • #84: Fix build error on Rust 1.56. Thanks @WorldSEnder for the report.

Version 0.8.1 (2022-04-19)

  • #73: Add lipsum_from_seed and tweak capitalization. Thanks @reknih!
  • #77: Update to Rust 2021 edition.

Version 0.8.0 (2021-05-30)

The random number generator has been separated from the MarkovChain implementation to allow using the same trained model to generate multiple outputs with different seeds. Thanks @Diggsey!

Version 0.7.0 (2020-07-08)

  • The code has been updated to the Rust 2018 edition.

  • Each new release will only support the latest stable version of Rust. Trying to support older Rust versions has proven to be a fool's errand: our dependencies keep releasing new patch versions that require newer and newer versions of Rust.

  • #65: A new lipsum_words_from_seed function was added. It generates random but deterministic lorem ipsum text. This is useful in unit tests when you need fixed inputs.

Version 0.6.0 (2018-12-09)

The new lipsum_words function can be used to generate random lorem ipsum text that doesn't always start with "Lorem ipsum".

Dependencies were updated and the oldest supported version of Rust is now 1.22.

Version 0.5.0 (2018-04-22)

The new lipsum_title function can be used to generate a short string suitable for a document title or a section heading.

Dependencies were updated and the oldest supported version of Rust is now 1.17.

Version 0.4.0 (2017-09-24)

The generate and generate_from now always generate proper sentences, meaning that they generate sentences that start with a capital letter and end with . or some other punctuation character. Use iter and iter_from directly if you need more control.

Version 0.3.0 (2017-07-28)

Performance is improved by about 50% when generating text, but training the Markov chain now takes about twice as long as before.

The MarkovChain struct has many new methods:

  • new_with_rng makes it possible to specify the random number generator used by the Markov chain. Use this to get deterministic and thus reproducible output for tests. MarkovChain now owns the RNG it uses and as a consequence, it has an extra type parameter. This is a breaking change if you used struct directly in your code.

  • iter and into_from return iterators over words in the Markov chain. The generate and generate_from methods are now straight-forward convenience wrappers for the iterators.

  • len tells you the number of stats in the Markov chain and is_empty tells you if the Markov chain is empty, meaning that it hasn't been trained on anything yet.

Version 0.2.0 (2017-07-10)

Rust version 1.6.0 is now supported. This is checked with TravisCI.

Version 0.1.0 (2017-07-2)

First public release.

License

Lipsum can be distributed according to the MIT license. Contributions will be accepted under the same license.