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9bd422a | 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 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 | /**
* Unit tests for LayerStats.compute()
* Validates: Requirements 19.1, 19.2, 19.4, 19.5
*/
import { describe, it, expect } from 'vitest';
// Extract the pure compute logic for testing (mirrors LayerStats.compute)
function computeLayerStats(parsedModel) {
const nodes = (parsedModel && parsedModel.graph && parsedModel.graph.nodes) ? parsedModel.graph.nodes : [];
const edges = (parsedModel && parsedModel.graph && parsedModel.graph.edges) ? parsedModel.graph.edges : [];
const initializers = (parsedModel && parsedModel.initializers) ? parsedModel.initializers : [];
const totalNodes = nodes.length;
const totalEdges = edges.length;
const totalInitializers = initializers.length;
const countMap = {};
nodes.forEach((node) => {
const op = node.opType || 'Unknown';
countMap[op] = (countMap[op] || 0) + 1;
});
const opTypeCounts = Object.entries(countMap)
.map(([opType, count]) => ({
opType,
count,
percentage: totalNodes > 0 ? parseFloat(((count / totalNodes) * 100).toFixed(1)) : 0,
}))
.sort((a, b) => b.count - a.count);
return { opTypeCounts, totalNodes, totalEdges, totalInitializers };
}
describe('LayerStats.compute', () => {
it('should count operator types correctly', () => {
const model = {
graph: {
nodes: [
{ id: '1', opType: 'Conv' },
{ id: '2', opType: 'ReLU' },
{ id: '3', opType: 'Conv' },
{ id: '4', opType: 'Conv' },
{ id: '5', opType: 'ReLU' },
],
edges: [{ source: '1', target: '2' }],
},
initializers: [{ name: 'w1' }, { name: 'w2' }],
};
const stats = computeLayerStats(model);
expect(stats.totalNodes).toBe(5);
expect(stats.totalEdges).toBe(1);
expect(stats.totalInitializers).toBe(2);
expect(stats.opTypeCounts).toHaveLength(2);
// Sorted descending by count
expect(stats.opTypeCounts[0]).toEqual({ opType: 'Conv', count: 3, percentage: 60 });
expect(stats.opTypeCounts[1]).toEqual({ opType: 'ReLU', count: 2, percentage: 40 });
});
it('should return sum of counts equal to totalNodes', () => {
const model = {
graph: {
nodes: [
{ id: '1', opType: 'Conv' },
{ id: '2', opType: 'BatchNorm' },
{ id: '3', opType: 'Conv' },
{ id: '4', opType: 'Add' },
],
edges: [],
},
initializers: [],
};
const stats = computeLayerStats(model);
const sumCounts = stats.opTypeCounts.reduce((s, e) => s + e.count, 0);
expect(sumCounts).toBe(stats.totalNodes);
});
it('should handle empty model gracefully', () => {
const stats = computeLayerStats({ graph: { nodes: [], edges: [] }, initializers: [] });
expect(stats.totalNodes).toBe(0);
expect(stats.totalEdges).toBe(0);
expect(stats.totalInitializers).toBe(0);
expect(stats.opTypeCounts).toHaveLength(0);
});
it('should handle null/undefined model', () => {
const stats = computeLayerStats(null);
expect(stats.totalNodes).toBe(0);
expect(stats.opTypeCounts).toHaveLength(0);
});
it('should label nodes without opType as Unknown', () => {
const model = {
graph: { nodes: [{ id: '1' }, { id: '2', opType: '' }], edges: [] },
initializers: [],
};
const stats = computeLayerStats(model);
expect(stats.opTypeCounts).toHaveLength(1);
expect(stats.opTypeCounts[0].opType).toBe('Unknown');
expect(stats.opTypeCounts[0].count).toBe(2);
});
it('should sort by count descending', () => {
const model = {
graph: {
nodes: [
{ id: '1', opType: 'A' },
{ id: '2', opType: 'B' },
{ id: '3', opType: 'B' },
{ id: '4', opType: 'C' },
{ id: '5', opType: 'C' },
{ id: '6', opType: 'C' },
],
edges: [],
},
initializers: [],
};
const stats = computeLayerStats(model);
expect(stats.opTypeCounts[0].opType).toBe('C');
expect(stats.opTypeCounts[1].opType).toBe('B');
expect(stats.opTypeCounts[2].opType).toBe('A');
});
it('should compute percentages that sum close to 100', () => {
const model = {
graph: {
nodes: [
{ id: '1', opType: 'Conv' },
{ id: '2', opType: 'Conv' },
{ id: '3', opType: 'ReLU' },
],
edges: [],
},
initializers: [],
};
const stats = computeLayerStats(model);
const sumPct = stats.opTypeCounts.reduce((s, e) => s + e.percentage, 0);
// Allow small rounding tolerance
expect(Math.abs(sumPct - 100)).toBeLessThan(1);
});
});
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