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6 changes: 1 addition & 5 deletions machine_learning/linear_discriminant_analysis.py
Original file line number Diff line number Diff line change
Expand Up @@ -47,7 +47,6 @@
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
Expand Down Expand Up @@ -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,
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7 changes: 2 additions & 5 deletions searches/jump_search.py
Original file line number Diff line number Diff line change
Expand Up @@ -10,17 +10,14 @@

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.
Expand Down