Proper way to assert type of variable in Python
The isinstance
built-in is the preferred way if you really must, but even better is to remember Python's motto: "it's easier to ask forgiveness than permission"!-) (It was actually Grace Murray Hopper's favorite motto;-). I.e.:
def my_print(text, begin, end):
"Print 'text' in UPPER between 'begin' and 'end' in lower"
try:
print begin.lower() + text.upper() + end.lower()
except (AttributeError, TypeError):
raise AssertionError('Input variables should be strings')
This, BTW, lets the function work just fine on Unicode strings -- without any extra effort!-)
You might want to try this example for version 2.6 of Python.
def my_print(text, begin, end):
"Print text in UPPER between 'begin' and 'end' in lower."
for obj in (text, begin, end):
assert isinstance(obj, str), 'Argument of wrong type!'
print begin.lower() + text.upper() + end.lower()
However, have you considered letting the function fail naturally instead?
Doing type('')
is effectively equivalent to str
and types.StringType
so type('') == str == types.StringType
will evaluate to "True
"
Note that Unicode strings which only contain ASCII will fail if checking types in this way, so you may want to do something like assert type(s) in (str, unicode)
or assert isinstance(obj, basestring)
, the latter of which was suggested in the comments by 007Brendan and is probably preferred.
isinstance()
is useful if you want to ask whether an object is an instance of a class, e.g:
class MyClass: pass
print isinstance(MyClass(), MyClass) # -> True
print isinstance(MyClass, MyClass()) # -> TypeError exception
But for basic types, e.g. str
, unicode
, int
, float
, long
etc asking type(var) == TYPE
will work OK.
isinstance(x, str)
is best if you can use it, but it does not work with generics. For example you cannot do:
isinstance(x, dict[str, int])
It will give a runtime error:
TypeError: isinstance() argument 2 cannot be a parameterized generic
If you are only interested in asserting a type for a static type checker you can use cast
:
from typing import cast
x_as_dict = cast(dict[str, int], x)
Unlike isinstance()
it doesn't actually do the type check so you have to check all of the keys and values yourself if necessary.
(I realise this isn't exactly what you asked for but "type assertion" is also used to refer to things like cast()
so I'm avoiding another question that will get closed as duplicate.)