(
items: WorkItem<T>[],
opts: PartitionOptions = {},
)
| 117 | * coupled items kept together, total weight balanced via LPT. |
| 118 | */ |
| 119 | export function partitionWork<T = unknown>( |
| 120 | items: WorkItem<T>[], |
| 121 | opts: PartitionOptions = {}, |
| 122 | ): Partition<T>[] { |
| 123 | if (!items || items.length === 0) return []; |
| 124 | |
| 125 | const units = buildUnits(items); |
| 126 | const totalWeight = units.reduce((s, x) => s + x.weight, 0); |
| 127 | const k = chooseK(units, totalWeight, opts); |
| 128 | if (k <= 1) { |
| 129 | // Single partition: keep original input order. |
| 130 | const all = units.flatMap((un) => un.members); |
| 131 | return [{ index: 0, items: all, totalWeight }]; |
| 132 | } |
| 133 | |
| 134 | // LPT: heaviest unit first; tie-break by first-appearance order then key for stability. |
| 135 | const sorted = [...units].sort((a, b) => |
| 136 | b.weight - a.weight || a.order - b.order || (a.key < b.key ? -1 : a.key > b.key ? 1 : 0), |
| 137 | ); |
| 138 | |
| 139 | const bins: Array<{ weight: number; units: Unit<T>[] }> = Array.from({ length: k }, () => ({ |
| 140 | weight: 0, |
| 141 | units: [], |
| 142 | })); |
| 143 | |
| 144 | for (const unit of sorted) { |
| 145 | // Assign to the currently-lightest bin; tie-break by lowest bin index. |
| 146 | let best = 0; |
| 147 | for (let i = 1; i < bins.length; i++) { |
| 148 | if (bins[i]!.weight < bins[best]!.weight) best = i; |
| 149 | } |
| 150 | bins[best]!.units.push(unit); |
| 151 | bins[best]!.weight += unit.weight; |
| 152 | } |
| 153 | |
| 154 | // Flatten each bin back to items, restoring original input order within the partition. |
| 155 | return bins.map((bin, index) => { |
| 156 | const flat = bin.units.flatMap((un) => un.members); |
| 157 | flat.sort((a, b) => items.indexOf(a) - items.indexOf(b)); |
| 158 | return { index, items: flat, totalWeight: bin.weight }; |
| 159 | }); |
| 160 | } |
| 161 | |
| 162 | /** |
| 163 | * Convenience: build WorkItems from plain string ids plus optional parallel |
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