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
,str
,dict
,list
,tuple
,set
, etc. - 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.
cargo add pyisheval
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)]
}
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.