flexible explicit type checking of function arguments (Python3-only)
A decorator for functions, @typecheck, to be used together with Python3 annotations on function parameters and function results. The decorator will perform dynamic argument type checking for every call to the function.
@typecheck def foo1(a:int, b=None, c:str="mydefault") -> bool : print(a, b, c) return b is not None and a != b
The parts :int, :str, and -> bool are annotations. This is a syntactic feature introduced in Python 3 where : (for parameters) and -> (for results) are delimiters and the rest can be an arbitrary expression. It is important to understand that, as such, annotations do not have any semantics whatsoever. There must be explicit Python code somewhere that looks at them and does something in order to give them a meaning.
The @typecheck decorator gives the above annotations the following meaning: foo1’s argument a must have type int, b has no annotation and can have any type whatsoever, it will not be checked, c must have type string, and the function’s result must be either True (not 17 or "yes" or [3,7,44] or some such) or False (not 0 or None or  or some such).
If any argument has the wrong type, a TypeCheckError exception will be raised. Class types, collection types, fixed-length collections and type predicates can be annotated as well. Here is a more complex example:
from typecheck import typecheck import typecheck as tc @typecheck def foo2(record:(int,int,bool), rgb:tc.matches("^[rgb]$") -> tc.either_type(int,float) : a = record; b = record return a/b if (a/b == float(a)/b) else float(a)/b foo2((4,10,True), "r") # OK foo2([4,10,True], "g") # OK: list is acceptable in place of tuple foo2((4,10,1), "rg") # Wrong: 1 is not a bool, string is too long foo2(None, "R") # Wrong: None is no tuple, string has illegal character
These annotations mean that record is a 3-tuple of two ints and an actual bool and rgb is a one-character string that is either “r” or “g” or “b” by virtue of a regular expression test. The result will be a number that can be either int or float.
Other kinds of annotations:
- tc.optional(int) will allow int and None,
- tc.either_value(1, 2.0, "three") allows to define arbitrary enumeration types,
- tc.dict_of(str, tc.list_of(Person)) describes dictionaries where all keys are strings and all values are homogeneous lists of Persons,
- and so on.
Find the documentation at https://github.com/prechelt/typecheck-decorator