pyisheval

pyisheval is a Rust library that allows you to evaluate Python-like expressions.
It's not a full Python interpreter, but it supports a subset of Python-like syntax:

• Arithmetic operations: +, -, *, /, //, %, **, >, <, >=, <=, ==, !=
• Variables and assignments
• Lambda expressions (lambda x: x + 1)
• Built-in functions: abs, max, min, int, float, len, sum
• List and dictionary literals
• List comprehensions: [y * 2 for y in x]
• Conditional expressions: x if x > 5 else 0
• String method: str.upper(), str.lower(), str.splitlines(), etc.
• List method: list.append(), list.clear(), etc.
• Dict method: dict.clear(), dict.get(), dict.items(), dict.keys(), dict.values(), etc.

No classes, functions (def), or control structures are supported.

Installation

cargo add pyisheval

Example

use pyisheval::Interpreter;

fn main() {
    let mut interp = Interpreter::new();

    // Assign variables
    interp.eval("x = 10").unwrap();
    interp.eval("y = 20").unwrap();

    // Arithmetic
    let val = interp.eval("x + y * 2").unwrap();
    println!("{}", val); // 50

    // Lambda
    interp.eval("inc = lambda a: a + 1").unwrap();
    let val = interp.eval("inc(x)").unwrap();
    println!("{}", val); // 11

    // Conditional expression
    let val = interp.eval("x if x > y else y").unwrap();
    println!("{}", val); // 10

    // List comprehension
    let val = interp.eval("[y * 2 for y in x]").unwrap();
    println!("{}", val); // [2, 4, 6, 8, 10]

    // Dict comprehension
    let val = interp.eval("{y: y * 2 for y in x}").unwrap();
    println!("{}", val); // {1: 2, 2: 4, 3: 6, 4: 8, 5: 10}

    // String method
    let val = interp.eval("'hello'.upper()").unwrap();
    println!("{}", val); // HELLO

    // List method
    interp.eval("x = [1, 2, 3]").unwrap();
    let val = interp.eval("x.append(4)").unwrap();
    println!("{}", val); // [1, 2, 3, 4]

    // Dict method
    interp.eval("x = {'a': 1, 'b': 2}").unwrap();
    let val = interp.eval("x.items()").unwrap();
    println!("{}", val); // [(a, 1), (b, 2)]
}

Why

This library aims to provide a lightweight and embedded Python-like expression evaluator for scenarios where you want to let users provide arithmetic expressions or simple lambdas without embedding a full Python interpreter.