monadify 0.1.0

A library for functional programming abstractions in Rust, focusing on Monads, Functors, Applicatives, and related concepts.
Documentation
# monadify: Functional Programming Constructs in Rust

`monadify` is a Rust library that provides implementations of common functional programming constructs, with a primary focus on monads and related concepts like Functors, Applicatives, and Profunctors. The goal is to offer a practical exploration of these patterns in idiomatic Rust, serving as both a learning resource and a potentially reusable library component.

## Core Concepts Implemented

The library defines and implements the following core functional programming traits:

*   **`Functor`**: Types that can be mapped over. Provides `map(self, f: A -> B) -> F<B>`.
    *   Implemented for `Option<A>`, `Result<A, E>`, `Vec<A>`, `CFn<X, A>`, `CFnOnce<X, A>`.
*   **`Apply`**: Extends `Functor`. Provides `apply(self, f: F<A -> B>) -> F<B>` for applying a wrapped function to a wrapped value.
    *   Implemented for `Option<A>`, `Result<A, E>`, `Vec<A>`.
*   **`Applicative`**: Extends `Apply`. Provides `pure(x: A) -> F<A>` for lifting a value into the applicative context.
    *   Implemented for `Option<A>`, `Result<A, E>`, `Vec<A>`.
*   **`Bind`**: Extends `Apply`. Provides `bind(self, f: A -> F<B>) -> F<B>` (also known as `flatMap` or `>>=`) for sequencing operations.
    *   Implemented for `Option<A>`, `Result<A, E>`, `Vec<A>`.
*   **`Monad`**: A marker trait that groups `Applicative` and `Bind`.
    *   Implemented for `Option<A>`, `Result<A, E>`, `Vec<A>`.
*   **`Profunctor`**: Bifunctors contravariant in the first argument and covariant in the second. Provides `dimap(self, f: X -> A, g: B -> Y) -> P<X, Y>`.
    *   Implemented for `CFn<A, B>` and `CFnOnce<A, B>`.
*   **`Strong`**: Extends `Profunctor`. Provides `first` and `second` for operating on product types (tuples).
    *   Implemented for `CFn<A, B>`.
*   **`Choice`**: Extends `Profunctor`. Provides `left` and `right` for operating on sum types (`Result`).
    *   Implemented for `CFn<A, B>`.

The library also includes `CFn` and `CFnOnce` wrappers for heap-allocated closures, and various helper functions and macros (e.g., `lift2`, `lift_a1`, `fn0!`, `fn1!`, `_1`, `_2`, `view`) for working with these abstractions. Optical structures like `Lens` and `Getter` (using `Profunctor` encoding) are also explored.

## Project Goals
- To explore and understand monads and other functional patterns from a practical Rust implementation perspective.
- To create a reusable library of these structures in idiomatic Rust.
- To serve as an educational resource for learning about functional programming concepts in Rust.

## Usage Example

Here's a quick example of using the `Functor` trait with `Option` (HKT is now the default):

```rust
use monadify::{Functor, OptionHKTMarker}; // Import HKT Functor and marker

let some_value: Option<i32> = Some(10);
// For HKT, Functor<A,B> is on the marker OptionHKTMarker
let mapped_value = OptionHKTMarker::map(some_value, |x| x * 2);
assert_eq!(mapped_value, Some(20));

let no_value: Option<i32> = None;
let mapped_none = OptionHKTMarker::map(no_value, |x: i32| x * 2);
assert_eq!(mapped_none, None);
```

And an example using `Bind` (often called `flat_map`):

```rust
use monadify::{Bind, OptionHKTMarker}; // Import HKT Bind and marker

fn try_parse_and_double(s: &str) -> Option<i32> {
    s.parse::<i32>().ok().map(|n| n * 2)
}

let opt_str: Option<String> = Some("5".to_string());

// For HKT, Bind<A,B> is on the marker OptionHKTMarker
    // The closure takes String because OptionHKTMarker::Applied<String> is Option<String>
    let result = OptionHKTMarker::bind(
        opt_str,
        |st: String| try_parse_and_double(&st) // Our function A -> F<B>
    );
    assert_eq!(result, Some(10));

    let opt_invalid_str: Option<String> = Some("hello".to_string());
    let result_invalid = OptionHKTMarker::bind(
        opt_invalid_str,
        |st: String| try_parse_and_double(&st)
    );
    assert_eq!(result_invalid, None);
```

For more detailed examples, please refer to the documentation comments within the source code and the test files in the `tests/` directory.

## Building the Project

To build the library:
```bash
cargo build
```

## Running Tests

The library includes a comprehensive test suite to verify the laws of `Functor`, `Applicative`, `Monad`, etc.
To run the default HKT tests:
```bash
cargo test
```
This suite includes over 140 tests covering HKT implementations (for `Option`, `Result`, `Vec`, `Identity`, `CFn`, `ReaderT`) and `Profunctor` laws, all passing.

To run tests for the legacy (non-HKT) implementations, use the `legacy` feature flag:
```bash
cargo test --features legacy
```
This suite includes over 80 tests for the legacy versions, also all passing.

## Running Benchmarks

Performance benchmarks for core operations are available using `criterion.rs`. To run the benchmarks:
```bash
cargo bench
```
The benchmark results can be found in `target/criterion/report/index.html`.
Key findings from initial benchmarks:
- `Functor::map` and `Bind::bind` for `Option` and `Result` show negligible overhead compared to native methods.
- `Apply::apply` (which involves `Box::new` for `CFn`) has a small, consistent overhead (around 2-4 ns).
- `Vec` operations show more overhead due to by-value semantics and heap allocations for `CFn` in some cases.

## License

This project is licensed under the terms of the [MIT License](./LICENSE).