18.8. Typing Callable

  • Before Python 3.9 you need from typing import List, Set, Tuple, Dict

  • Since Python 3.9: PEP 585 -- Type Hinting Generics In Standard Collections

18.8.1. Parameters

  • Required Parameters

  • Optional Parameters

  • Mixed Parameters

>>> def run(a: int, b: int):
...     ...
>>> def run(a: int = 0, b: int = 1):
...     ...
>>> def run(a: int, b: int = 1):
...     ...

18.8.2. Union and Optional

>>> def run(a: int | float, b: int | float):
...     ...
>>> def run(a: int | None, b: int | None):
...     ...

18.8.3. Return

  • Return Type

  • Return Union

  • Return Optional

>>> def run() -> int:
...     ...
>>> def run(a: int | float, b: int | float) -> int | float:
...     ...
>>> def run(a: int | None, b: int | None) -> int | None:
...     ...

18.8.4. Return None

In Python functions always return something. If you don't specify a return value, Python will return None.

>>> def run() -> None:
...     return None
>>> def run() -> None:
...     pass
>>> def run() -> None:
...     print('hello')

18.8.5. NoReturn

If you want to indicate that a function never returns, you can use NoReturn.

>>> from typing import NoReturn
>>> def run() -> NoReturn:
...     pass
>>> def run() -> NoReturn:
...     print('hello')

18.8.6. Exception

>>> from typing import NoReturn
>>>
>>> def run() -> NoReturn:
...     raise ValueError
>>> def run() -> Exception:
...     raise ValueError
>>> def run() -> ValueError:
...     raise ValueError
>>> def run(value: int) -> int | ValueError:
...     if value <= 0:
...         raise ValueError
...     else:
...         return value

18.8.7. Literal

SetUp:

>>> from typing import Literal

Definition:

>>> def open(filename: str, mode: Literal['r','w','a']) -> None:
...     pass

Usage:

>>> open('myfile.txt', mode='w')  # ok
>>> open('myfile.txt', mode='r')  # ok
>>> open('myfile.txt', mode='a')  # ok
>>> open('myfile.txt', mode='x')  # error

18.8.8. Callable

SetUp:

>>> from collections.abc import Callable

Define:

>>> def run(a: int, b: int) -> float:
...     ...
>>>
>>> a: Callable = run
>>> b: Callable[..., float] = run
>>> c: Callable[[int,int], ...] = run
>>> d: Callable[[int,int], float] = run

Parameter:

>>> def run(func: Callable[[int, int], float]):
...     ...

18.8.9. Convention

>>> def add(a: int | float,
...         b: int | float,
...         ) -> int | float:
...     return a + b

18.8.10. Use Case - 1

>>> def valid_email(email: str) -> str | Exception:
...     if '@' in email:
...         return email
...     else:
...         raise ValueError('Invalid Email')
>>>
>>>
>>> valid_email('alice@example.com')
'alice@example.com'
>>>
>>> valid_email('alice_at_example.com')
Traceback (most recent call last):
ValueError: Invalid Email

18.8.11. Use Case - 2

>>> def find(text: str, what: str) -> int | None:
...     position = text.find(what)
...     if position == -1:
...         return None
...     else:
...         return position
>>>
>>>
>>> find('Python', 'x')
>>> find('Python', 'o')
4

18.8.12. Use Case - 3

>>> from collections.abc import Callable
>>> from typing import Any
>>> from urllib.request import urlopen
>>>
>>>
>>> def fetch(url: str,
...           on_success: Callable[[str], Any] = lambda result: ...,
...           on_error: Callable[[Exception], Any] = lambda error: ...,
...           ) -> None:
...     try:
...         result: str = urlopen(url).read().decode('utf-8')
...     except Exception as err:
...         on_error(err)
...     else:
...         on_success(result)
>>> def handle_result(result: str) -> None:
...     print('Success', result)
>>>
>>> def handle_error(error: Exception) -> None:
...     print('Error', error)
>>>
>>>
>>> fetch(
...     url='https://python3.info',
...     on_success=handle_result,
...     on_error=handle_error,
... )
>>> fetch(
...     url='https://python3.info',
...     on_success=lambda result: print(result),
...     on_error=lambda error: print(error),
... )