chore: Fix ruff build failures (#14347)

machine_learning/linear_discriminant_analysis.py

@@ -47,7 +47,6 @@ from collections.abc import Callable
 from math import log
 from os import name, system
 from random import gauss, seed
-from typing import TypeVar
 
 
 # Make a training dataset drawn from a gaussian distribution
@@ -249,10 +248,7 @@ def accuracy(actual_y: list, predicted_y: list) -> float:
     return (correct / len(actual_y)) * 100
 
 
-num = TypeVar("num")
-
-
-def valid_input(
+def valid_input[num](
     input_type: Callable[[object], num],  # Usually float or int
     input_msg: str,
     err_msg: str,

searches/jump_search.py

@@ -10,17 +10,14 @@ https://en.wikipedia.org/wiki/Jump_search
 
 import math
 from collections.abc import Sequence
-from typing import Any, Protocol, TypeVar
+from typing import Any, Protocol
 
 
 class Comparable(Protocol):
     def __lt__(self, other: Any, /) -> bool: ...
 
 
-T = TypeVar("T", bound=Comparable)
-
-
-def jump_search(arr: Sequence[T], item: T) -> int:
+def jump_search[T: Comparable](arr: Sequence[T], item: T) -> int:
     """
     Python implementation of the jump search algorithm.
     Return the index if the `item` is found, otherwise return -1.