rttc 1.0.3

Python run-time type check

Python run-time type checking utility

Author: Yuxuan Zhang | GitHub Repository

The rttc project originates from this post on the python discussion forum.

Usage

Want to do something like this?

>>> isinstance(["hello type check"], list[str])
TypeError: isinstance() argument 2 cannot be a parameterized generic

Just drop-in replace isinstance() with type_check()

from type_check import type_check

type_check(["hello type check"], list[str]) # True
type_check([1], list[str]) # False

And of course you can use type variables!

DataType = list[tuple[float, str]]

type_check([(1.0, "hello rttc")], DataType) # True
type_check([(1, 2), [3.0, "4"]] , DataType) # False

Wondering how far you can go?

These features all work recursively with each other!

• Union types are supported:

  type_check(1   , int | bool) # True
  type_check(True, int | bool) # True
  type_check("1" , int | bool) # False
  

• Literals are supported:

  type_check("alex", Literal["alex", "bob"]) # True
  type_check("hack", Literal["alex", "bob"]) # False
  

• Inherited classes are supported:

  class C(list[int]):
      pass
  
  type_check(C([1])  , C) # True
  type_check(C([1.0]), C) # False
  

• Type-hinted classes are supported:

  from typing import TypeVar, Generic, Literal
  from dataclasses import dataclass
  
  T = TypeVar("T")
  P = TypeVar("P")
  
  @dataclass
  class C(Generic[T, P]):
      x: T
      y: P
      z: Literal[1]
  
  type_check(C(x=1  , y="y", z=1), C[int, str]) # True
  type_check(C(x=1.0, y="y", z=1), C[int, str]) # False - C.x = float(1.0) is not int
  type_check(C(x=1  , y="y", z=2), C[int, str]) # False - C.z = int(2) is not Literal[1]
  

• Custom checking hooks:

  Examples coming soon...

  For now, please refer to builtin_checks.py.

Other tools in the box

type_assert()

Similar to type_check(), but it raises TypeCheckError instead of returns bool. The raised TypeCheckError contains debug-friendly information indicating what caused type check to fail (check below for details).

type_guard

This decorator allows you to convert a class or a function into a type-guarded object. It is analogous to performing a type_assert on function return values or on returned class instances.

from type_check import type_guard

@type_guard
def fn(x) -> int | float | str:
    return x

fn(1) # ok

fn([]) # TypeCheckError: list([]) is not int | float | str

from dataclasses import dataclass

@type_guard
@dataclass
class C:
    x: int

C(x=1) # ok

C(x=1.0) # TypeCheckError: C.x = float(1.0) is not int

Super friendly stack trace

This is the output of test cases. You can run the test yourself!

================================== 01-simple ===================================
       
[ PASS ] 1 is int => True
       
[ PASS ] 1.0 is int => False
[REASON] float(1.0) is not int
       
[ PASS ] [1, 2, 3] is list[int] => True
       
[ PASS ] [1, 2, 3.0] is list[int] => False
[REASON] list[2] = float(3.0) is not int
       
[ PASS ] 1 is Literal[1] => True
       
[ PASS ] 2 is Literal[1] => False
[REASON] int(2) is not Literal[1]
       
[ PASS ] 'alex' is Literal['alex', 'bob'] => True
       
[ PASS ] 'alex' is Literal['bob'] => False
[REASON] str('alex') is not Literal['bob']
       
================================= 02-multiple ==================================
       
[ PASS ] [1, '2', 3.0] is list[int, str, float] => True
       
[ PASS ] [1, '2', '3'] is list[int, str, float] => False
[REASON] list[2] = str('3') is not float
       
[ PASS ] [1, '2'] is list[int, str, float] => False
[REASON] list([1, '2']) is not list[int, str, float]
       
[ PASS ] (1, '2', 3.0) is tuple[int, str, float] => True
       
[ PASS ] (1, '2', '3') is tuple[int, str, float] => False
[REASON] tuple[2] = str('3') is not float
       
[ PASS ] {1, 3.0, '2'} is set[int | str | float] => True
       
[ PASS ] {None, 1, '2'} is set[int | str | float] => False
[REASON] set['?'] = NoneType(None) is not int | str | float
       
[ PASS ] {1: '2', 3: 4.0} is dict[int, str | float] => True
       
[ PASS ] {1: '2', '3': 4.0} is dict[int, str | float] => False
[REASON] dict<key> = str('3') is not int
       
[ PASS ] {1: '2', 3: None} is dict[int, str | float] => False
[REASON] dict[3] = NoneType(None) is not str | float
       
================================== 03-nested ===================================
       
[ PASS ] [[1, 2], [3, 4]] is list[list[int]] => True
       
[ PASS ] [[1, 2], [3, '4']] is list[list[int]] => False
[REASON] list[1][1] = str('4') is not int
       
================================== 04-unions ===================================
       
[ PASS ] [[1, 2], [3.0, 4.0]] is list[list[int] | list[float]] => True
       
[ PASS ] [[1, 2.0], [3, 4.0]] is list[list[int] | list[float]] => False
[REASON] list[0] = list([1, 2.0]) is not list[int] | list[float]
       
================================== 05-inherit ==================================
       
[ PASS ] [1, 2, 3] is A => True
       
[ PASS ] [1, 2, 0.0] is A => False
[REASON] A[2] = float(0.0) is not int
       
[ PASS ] B(x=1, y='2') is tests.05-inherit.B[int, str] => True
       
[ PASS ] B(x=1, y=2.0) is tests.05-inherit.B[int, str] => False
[REASON] B.y = float(2.0) is not str
       
=================================== 06-guard ===================================
       
[ PASS ] C([1, 2, 3]) is C => True
       
[ PASS ] C([1, 2, 0.0]) is C => False
[REASON] C[2] = float(0.0) is not int
       
[ PASS ] C(x=1, y=2.0) is C => True
       
[ PASS ] C(x=1.0, y=2) is C => False
[REASON] C.x = float(1.0) is not int
       
[ PASS ] add(1, 2) is int => True
       
[ PASS ] add('1', '2') is str => True
       
[ PASS ] add([1], [2]) is int | str => False
[REASON] list([1, 2]) is not int | str
       
[ PASS ] All 33 tests passed