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.
Add this to your Cargo.toml:
toml
[dependencies]
lipsum = "0.4"
and this to your crate root:
rust
extern crate lipsum;
Please see the API documentation.
Use the lipsum function to generate lorem ipsum text:
```rust
extern crate lipsum;
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.
This is a changelog with the most important changes in each release.
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.
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.
Rust version 1.6.0 is now supported. This is checked with TravisCI.
First public release.
Lipsum can be distributed according to the MIT license. Contributions will be accepted under the same license.