Python typing: Difference between revisions

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class Project:
class Project:
     def ex_param_w_return(user: User) -> Bool
     def ex_param_w_return(user: User) -> bool


     def ex_type_w_default(active: bool=False) -> None:
     def ex_type_w_default(active: bool=False) -> None:
Line 29: Line 29:
from typing import Callable
from typing import Callable


def run_callback(cb: Callable[[str, int], Bool]) -> None:
def run_callback(cb: Callable[[str, int], bool]) -> None:
</syntaxhighlight>
</syntaxhighlight>
</blockquote><!-- functions/lambdas -->
</blockquote><!-- functions/lambdas -->
Line 73: Line 73:
</syntaxhighlight>
</syntaxhighlight>
</blockquote><!-- context managers -->
</blockquote><!-- context managers -->
== dataclasses (structs) ==
<blockquote>
They're already typed. See [[python datatypes]]
<syntaxhighlight lang="python">
import dataclasses
@dataclasses.dataclass
class User
    id: int
    name: str
</syntaxhighlight>
</blockquote><!-- dataclasses (structs) -->
</blockquote><!-- Common Types -->
</blockquote><!-- Common Types -->



Latest revision as of 22:56, 13 February 2024

Type annotations in python.

Example

from typing import Dict, List, Tuple
from typing import Optional, Union

class Project:
    def ex_param_w_return(user: User) -> bool

    def ex_type_w_default(active: bool=False) -> None:

    def ex_no_return() -> None:

    def ex_generics(data: List[Dict]):

    def ex_optional() -> Optional[str]:  # nullable type

    def ex_type_or_other_type(id: Union[str, int]) -> None:

Common Types

functions/lambdas

from typing import Callable

def run_callback(cb: Callable[[str, int], bool]) -> None:

dates/times

import datetime

def foo() -> datetime.datetime:
    return datetime.datetime.now()

def foo() -> datetime.date:
    return datetime.date.today()

open file objects

from typing import IO

# either bytes/str
def foo() -> IO:
    return open('foo.txt', 'r')

def foo() -> IO[bytes]:
    return open('foo.txt', 'rb')

def foo() -> IO[str]:
    return open('foo.txt', 'r')

context managers

@contextlib.contextmanager
def foo() -> Iterator[str]:
    print('foo')
    yield 'bar'
    print('baz')

dataclasses (structs)

They're already typed. See python datatypes

import dataclasses

@dataclasses.dataclass
class User
    id: int
    name: str

Implementing Generics

TODO:

improve, w/ usage example

from typing import Generic, TypeVar

T = TypeVar('T')

class Range(Generic[T]):
    start: T
    end: T