Makelore 2.0 initial clean snapshot
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67
tests/unit/imported-model-profile.test.ts
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67
tests/unit/imported-model-profile.test.ts
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import { describe, expect, it } from 'vitest';
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import {
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estimateImportedModelVisionTokens,
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getImportedModelProfile,
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} from '../../shared/imported-model-profile';
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import {
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getKnownModelCapabilityKind,
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getModelCapabilityLabel,
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isKnownImageInputModelId,
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} from '../../shared/model-capabilities';
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describe('getImportedModelProfile', () => {
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it.each([
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'qwen3.6-plus',
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'qwen3.6-plus-2026-04-02',
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'qwen3.7-plus',
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'qwen3.7-plus-2026-05-26',
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])('returns verified limits for %s', (modelId) => {
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expect(getImportedModelProfile(modelId)).toEqual({
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modalities: {
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input: ['text', 'image'],
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output: ['text'],
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},
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limit: {
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context: 1_000_000,
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output: 65_536,
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},
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visionTokenEstimator: 'qwen-32px-grid',
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});
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});
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it.each(['qwen-vl-max', 'qwen2.5-vl-72b-instruct', 'qwen-omni-turbo'])(
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'keeps image modalities without guessed limits for %s',
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(modelId) => {
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const profile = getImportedModelProfile(modelId);
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expect(profile?.modalities.input).toEqual(['text', 'image']);
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expect(profile).not.toHaveProperty('limit');
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expect(profile).not.toHaveProperty('visionTokenEstimator');
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},
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);
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it.each([
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'qwen3.8-plus',
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'qwen3.7-plus-latest',
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'qwen3.7-plus-2026-06-15',
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'qwen3.6-plus-2026-04-03',
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'qwen3.7-plus-2026-99-99',
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'deepseek-chat',
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'',
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])('does not guess metadata for %s', (modelId) => {
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expect(getImportedModelProfile(modelId)).toBeNull();
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});
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it('estimates only profiles with the verified Qwen grid formula', () => {
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expect(estimateImportedModelVisionTokens('qwen3.7-plus', 1930, 1086)).toBe(2049);
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expect(estimateImportedModelVisionTokens('qwen-vl-max', 1930, 1086)).toBeNull();
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});
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it('keeps the legacy capability helpers delegated to the same profile', () => {
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expect(isKnownImageInputModelId('qwen3.7-plus')).toBe(true);
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expect(isKnownImageInputModelId('deepseek-chat')).toBe(false);
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expect(getKnownModelCapabilityKind('qwen-vl-max')).toBe('multimodal');
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expect(getKnownModelCapabilityKind('deepseek-chat')).toBe('text');
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expect(getModelCapabilityLabel('multimodal')).toBe('多模态');
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expect(getModelCapabilityLabel('text')).toBe('文本');
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});
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});
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