Spaces:
Runtime error
Runtime error
File size: 989 Bytes
85d9fef |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 |
from __future__ import annotations
import numpy as np
from typing import Iterable, TypeVar, Callable
T = TypeVar("T")
V = TypeVar("V")
def diff(input_list: Iterable[T]) -> T:
return max(input_list) - min(input_list)
def grouped_by(
items: list[T],
group_key: Callable[[T], V],
eps: float,
eps_key: Callable[[T], float],
) -> list[list[T]]:
items = sorted(items, key=group_key)
groups = []
group = []
for item in items:
if not group:
group.append(item)
continue
if group:
cond = abs(
group_key(item) - np.mean([group_key(item) for item in group])
) < eps * np.mean([eps_key(item) for item in group])
if cond:
group.append(item)
else:
groups.append(group)
group = [item]
else:
if group:
groups.append(group)
return groups
|