Add CONTRIBUTING.md & Update README.md

pull/3/head
sgoudham 3 years ago
parent 63d451eebd
commit c68a0a5b6f
Signed by: hammy
GPG Key ID: 44E818FD5457EEA4

@ -0,0 +1,12 @@
# Contributing to bst-rs
Thank you for your interest in contributing to this project! I really appreciate it!
# Got a Question?
Please raise an issue with the `question` label. This ensures that bugs are separated from genuine questions.
# Found an Issue or Bug?
Please raise an issue on if you think you have found any issues or bugs. Even better, it would be great
to submit a Pull Request including the fix.

@ -3,32 +3,111 @@
> Recursive & Iterative Binary Search Tree Implementations within Rust
## Table of Contents
- [Personal Goals](#Personal-Goals)
- [Usage](#Usage)
- [About](#About)
- [Quick Start](#Quick-Start)
- [License](#License)
- [Contributing](#Contributing)
- [Inspiration](#Inspiration)
## About
This crate contains Recursive & Iterative Binary Search Tree Implementations. All common operations are included along
with common traversal iterators.
All elements within the Binary Search Trees _must_ implement
the [Ord](https://doc.rust-lang.org/core/cmp/trait.Ord.html) trait.
It is also important to note that [RecursiveBST](src/lib.rs) is more likely to `blow the stack.`
For more information on why that is the case, please read have a look at
[The Story of Tail Call Optimizations in Rust.](https://seanchen1991.github.io/posts/tco-story/)
## Personal Goals
One of the main motivations for starting this is to fully grasp the following concepts
I have made this library with the personal goals of learning and solidifying concepts such as `ownership`, `borrowing`
, `generics` and `lifetimes`. I cannot promise that the implementations are particularly efficient, or if they are, it
was not at the forefront of my mind.
That being said, there are some areas I would love to improve/include:
- [ ] Write Rust more idiomatically.
- [ ] Implement a `pretty_print()` function to display the binary search trees nicely.
- [ ] Implementing the Drop trait for iterative node cleanup.
- [ ] Pre-allocating space on the heap for nodes to reduce inefficiency of inserts.
I'm more than happy to accept (and encourage) contributions if anyone is kind enough to do so. (Please look
at [CONTRIBUTING!](#Contributing))
## Quick Start
- [x] Ownership/Borrowing
- [x] Generic Traits
- [x] Lifetimes
```rust
use bst_rs::{BinarySearchTree, IterativeBST, RecursiveBST};
I am now more confident programming around these concepts and can discuss and reason
about different implementations.
// Create new empty binary search trees
let mut iterative_bst = IterativeBST::new();
assert!(iterative_bst.is_empty());
## Usage
let mut recursive_bst = RecursiveBST::new();
assert!(recursive_bst.is_empty());
TODO
// Insert elements (no duplicates are allowed)
iterative_bst.insert(10);
iterative_bst.insert(10); // Element is not inserted
iterative_bst.insert(5);
iterative_bst.insert(2);
iterative_bst.insert(15);
iterative_bst.insert(25);
assert_eq!(iterative_bst.size(), 5);
recursive_bst.insert(10);
recursive_bst.insert(10); // Element is not inserted
recursive_bst.insert(5);
recursive_bst.insert(2);
recursive_bst.insert(15);
recursive_bst.insert(25);
assert_eq!(recursive_bst.size(), 5);
// Check if element exists
assert!(iterative_bst.contains(&5)); // true
assert!(!iterative_bst.contains(&0)); // false
assert!(recursive_bst.contains(&5)); // true
assert!(!recursive_bst.contains(&0)); // false
// Remove elements
iterative_bst.remove(&10);
iterative_bst.remove(&50); // No change to tree as element does not exist
assert_eq!(iterative_bst.size(), 4);
recursive_bst.remove(&10);
recursive_bst.remove(&50); // No change to tree as element does not exist
assert_eq!(recursive_bst.size(), 4);
// View pre-order, in-order and post-order traversals
assert_eq!(iterative_bst.pre_order_vec(), vec![&15, &5, &2, &25]);
assert_eq!(iterative_bst.in_order_vec(), vec![&2, &5, &15, &25]);
assert_eq!(iterative_bst.post_order_vec(), vec![&2, &5, &25, &15]);
assert_eq!(recursive_bst.pre_order_vec(), vec![&15, &5, &2, &25]);
assert_eq!(recursive_bst.in_order_vec(), vec![&2, &5, &15, &25]);
assert_eq!(recursive_bst.post_order_vec(), vec![&2, &5, &25, &15]);
// Compare equality of trees
assert_eq!(iterative_bst.sorted_vec(), recursive_bst.sorted_vec());
assert_ne!(iterative_bst, IterativeBST::new());
assert_ne!(recursive_bst, RecursiveBST::new());
```
## License
[MIT License](LICENSE)
## Contributing
Please read the [CONTRIBUTING.md](CONTRIBUTING.md) before contributing! (Thank you!)
## Inspiration
The book [Learn Rust With Entirely Too Many Linked Lists](https://rust-unofficial.github.io/too-many-lists/) inspired me to try and
implement a Binary Search Trees within the language. I had also been wanting to create
my first library for other crates to use.
The book [Learn Rust With Entirely Too Many Linked Lists](https://rust-unofficial.github.io/too-many-lists/) inspired me
to try and implement a Binary Search Trees within the language. I had also been wanting to create my first library for
other crates to use.
Loading…
Cancel
Save