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crates.io · #4470 most downloaded on crates.io
Lipsum is a lorem ipsum text generation library. It generates pseudo-random Latin text. Use this if you need filler or dummy text for your application. The text is generated using a simple Markov chain, which you can instantiate to generate your own pieces of pseudo-random text.
Last release 3 years ago
no release in 18 months
Ships fairly regularly
a new release about every 9 months
Most releases are documented
notes for 10 of 12 stable releases
Nothing withdrawn
no release was ever pulled
9 years old
12 releases · first in 2017
Merge pull request #106 from mgeisler/release-0.9.1
Merge pull request #106 from mgeisler/release-0.9.1
Release 0.9.1
Merge pull request #97 from mgeisler/release-0.9.0
Merge pull request #97 from mgeisler/release-0.9.0
Release 0.9.0
Merge pull request #89 from mgeisler/release-0.8.2
One column per quarter.
Merge pull request #89 from mgeisler/release-0.8.2
Release 0.8.2
Merge pull request #82 from mgeisler/simplify-crates-io-tags
Merge pull request #82 from mgeisler/simplify-crates-io-tags
Remove some unnecessary crate tags
#72 : Split out RNG from MarkovChain to allow reusing a model multiple times. Thanks @Diggsey !
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 depe
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.
#49 : lipsum_words : new function for random lorem ipsum text
lipsum_words: new function for random lorem ipsum text#32 : MarkovChain : implement Default #42 : Add lipsum_title function
#28 : Generate full sentences #29 : Ensure all public items have documentation
#18 : MarkovChain: add iter and iter_from methods #20 : Put the random number generator into the Markov chain
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Nothing published for this version
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