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33 lines
827 B
Python
33 lines
827 B
Python
from __future__ import annotations
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from dataclasses import dataclass
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@dataclass(frozen=True)
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class PartitionItem:
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kind: str
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item_id: str
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est_time: float
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used_fallback_estimate: bool = False
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def partition_items_by_lpt(
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items: list[PartitionItem], num_partitions: int
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) -> list[list[PartitionItem]]:
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if not items or num_partitions <= 0:
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return []
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sorted_items = sorted(
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items,
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key=lambda item: (-item.est_time, item.kind, item.item_id),
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)
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partitions: list[list[PartitionItem]] = [[] for _ in range(num_partitions)]
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partition_sums = [0.0] * num_partitions
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for item in sorted_items:
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min_idx = partition_sums.index(min(partition_sums))
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partitions[min_idx].append(item)
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partition_sums[min_idx] += item.est_time
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return partitions
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