WE-repartir-taches/repartir_taches/partition.py

73 lines
2 KiB
Python

""" Implements Multiway number partitioning greedy algorithm """
import typing as t
from sortedcontainers import SortedList
__all__ = ["TaskId", "partition"]
TaskId = t.NewType("TaskId", int)
class PartitionException(Exception):
"""An exception occurring during partitioning"""
class UnsolvableConflict(PartitionException):
"""Cannot partition set due to unsolvable conflicts"""
class Bin:
"""A bin containing assigned tasks"""
elts: list[TaskId]
cost: int
def __init__(self):
self.elts = []
self.cost = 0
def add(self, task: TaskId, cost: int):
assert task not in self.elts
self.elts.append(task)
self.cost += cost
def __contains__(self, task: TaskId) -> bool:
return task in self.elts
def partition(
bin_count: int, costs: dict[TaskId, int], multiplicity: dict[TaskId, int]
) -> list[list[TaskId]]:
"""Partitions the tasks, each with cost `costs[i]`, into `bin_count` bins. Each
task has multiplicity `multiplicity[i]`, copies of the same task being mutually
exclusive (ie. cannot be in the same bin)"""
bins = SortedList([Bin() for _ in range(bin_count)], key=lambda x: x.cost)
ordered_tasks: list[TaskId] = []
for t_id, reps in multiplicity.items():
for _ in range(reps):
ordered_tasks.append(t_id)
ordered_tasks.sort(key=lambda x: costs[x], reverse=True)
for task in ordered_tasks:
least_full: Bin
least_full_pos: int
for pos, cur_bin in enumerate(bins):
if task not in cur_bin:
least_full = cur_bin
least_full_pos = pos
break
else:
raise UnsolvableConflict(
"Pas assez de groupes pour affecter la tâche "
+ f"{task} {multiplicity[task]} fois."
)
del bins[least_full_pos]
least_full.add(task, costs[task])
bins.add(least_full)
out: list[list[TaskId]] = []
for cur_bin in bins:
out.append(cur_bin.elts)
return out