How does python handle generic/template type scenarios? Say I want to create an external file \"BinaryTree.py\" and have it handle binary trees, but for any data type.
The other answers are totally fine:
However, if you still want a typed variant, there is a built-in solution since Python 3.5.
Generic classes:
from typing import TypeVar, Generic
T = TypeVar('T')
class Stack(Generic[T]):
def __init__(self) -> None:
# Create an empty list with items of type T
self.items: List[T] = []
def push(self, item: T) -> None:
self.items.append(item)
def pop(self) -> T:
return self.items.pop()
def empty(self) -> bool:
return not self.items
# Construct an empty Stack[int] instance
stack = Stack[int]()
stack.push(2)
stack.pop()
stack.push('x') # Type error
Generic functions:
from typing import TypeVar, Sequence
T = TypeVar('T') # Declare type variable
def first(seq: Sequence[T]) -> T:
return seq[0]
def last(seq: Sequence[T]) -> T:
return seq[-1]
n = first([1, 2, 3]) # n has type int.
Reference: mypy documentation about generics.