pyisheval
| Crates.io | pyisheval |
| lib.rs | pyisheval |
| version | |
| source | src |
| created_at | 2024-12-12 15:48:28.321489 |
| updated_at | 2024-12-12 16:37:56.319018 |
| description | A Python-like expression evaluator in Rust |
| homepage | |
| repository | https://github.com/neka-nat/pyisheval |
| max_upload_size | |
| id | 1481369 |
| Cargo.toml error: | TOML parse error at line 18, column 1 | 18 | autolib = false | ^^^^^^^ unknown field `autolib`, expected one of `name`, `version`, `edition`, `authors`, `description`, `readme`, `license`, `repository`, `homepage`, `documentation`, `build`, `resolver`, `links`, `default-run`, `default_dash_run`, `rust-version`, `rust_dash_version`, `rust_version`, `license-file`, `license_dash_file`, `license_file`, `licenseFile`, `license_capital_file`, `forced-target`, `forced_dash_target`, `autobins`, `autotests`, `autoexamples`, `autobenches`, `publish`, `metadata`, `keywords`, `categories`, `exclude`, `include` |
| size | 0 |
Shirokuma (k tanaka) (neka-nat)
documentation
README
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 - List and dictionary literals
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
}
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.