mirror of
https://github.com/farion1231/cc-switch.git
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3bb17434fb
Update the Codex chat preset test's Kimi expectation (kimi-k2.6 -> kimi-k2.7-code) after the Kimi K2.7 upgrade, update the Claude Desktop form test for the four-tier (Sonnet/Opus/Fable/Haiku) routes, and reformat UsageDateRangePicker imports (prettier).
206 lines
4.7 KiB
TypeScript
206 lines
4.7 KiB
TypeScript
import { describe, expect, it } from "vitest";
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import { codexProviderPresets } from "@/config/codexProviderPresets";
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import {
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extractCodexBaseUrl,
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extractCodexModelName,
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extractCodexWireApi,
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} from "@/utils/providerConfigUtils";
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const expectedChatPresets = new Map<
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string,
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{ baseUrl: string; contextWindows: Record<string, number> }
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>([
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[
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"火山Agentplan",
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{
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baseUrl: "https://ark.cn-beijing.volces.com/api/coding/v3",
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contextWindows: { "ark-code-latest": 256000 },
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},
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],
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[
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"BytePlus",
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{
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baseUrl: "https://ark.ap-southeast.bytepluses.com/api/coding/v3",
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contextWindows: { "ark-code-latest": 256000 },
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},
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],
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[
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"DouBaoSeed",
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{
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baseUrl: "https://ark.cn-beijing.volces.com/api/v3",
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contextWindows: { "doubao-seed-2-0-code-preview-latest": 256000 },
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},
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],
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[
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"DeepSeek",
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{
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baseUrl: "https://api.deepseek.com",
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contextWindows: {
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"deepseek-v4-flash": 1000000,
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"deepseek-v4-pro": 1000000,
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},
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},
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],
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[
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"Zhipu GLM",
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{
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baseUrl: "https://open.bigmodel.cn/api/coding/paas/v4",
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contextWindows: { "glm-5.1": 200000 },
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},
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],
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[
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"Zhipu GLM en",
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{
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baseUrl: "https://api.z.ai/api/coding/paas/v4",
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contextWindows: { "glm-5.1": 200000 },
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},
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],
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[
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"Baidu Qianfan Coding Plan",
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{
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baseUrl: "https://qianfan.baidubce.com/v2/coding",
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contextWindows: { "qianfan-code-latest": 131072 },
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},
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],
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[
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"Bailian",
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{
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baseUrl: "https://dashscope.aliyuncs.com/compatible-mode/v1",
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contextWindows: {
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"qwen3-coder-plus": 1000000,
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"qwen3-max": 262144,
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},
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},
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],
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[
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"Kimi",
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{
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baseUrl: "https://api.moonshot.cn/v1",
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contextWindows: { "kimi-k2.7-code": 262144 },
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},
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],
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[
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"StepFun",
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{
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baseUrl: "https://api.stepfun.com/step_plan/v1",
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contextWindows: {
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"step-3.5-flash-2603": 262144,
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"step-3.5-flash": 262144,
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},
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},
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],
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[
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"StepFun en",
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{
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baseUrl: "https://api.stepfun.ai/step_plan/v1",
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contextWindows: {
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"step-3.5-flash-2603": 262144,
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"step-3.5-flash": 262144,
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},
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},
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],
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[
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"ModelScope",
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{
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baseUrl: "https://api-inference.modelscope.cn/v1",
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contextWindows: { "ZhipuAI/GLM-5.1": 200000 },
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},
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],
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[
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"Longcat",
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{
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baseUrl: "https://api.longcat.chat/openai/v1",
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contextWindows: { "LongCat-Flash-Chat": 262144 },
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},
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],
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[
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"MiniMax",
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{
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baseUrl: "https://api.minimaxi.com/v1",
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contextWindows: { "MiniMax-M2.7": 200000 },
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},
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],
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[
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"MiniMax en",
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{
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baseUrl: "https://api.minimax.io/v1",
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contextWindows: { "MiniMax-M2.7": 200000 },
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},
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],
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[
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"BaiLing",
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{
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baseUrl: "https://api.tbox.cn/api/llm/v1",
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contextWindows: { "Ling-2.5-1T": 131072 },
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},
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],
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[
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"Xiaomi MiMo",
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{
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baseUrl: "https://api.xiaomimimo.com/v1",
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contextWindows: { "mimo-v2.5-pro": 1048576 },
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},
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],
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[
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"Xiaomi MiMo Token Plan (China)",
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{
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baseUrl: "https://token-plan-cn.xiaomimimo.com/v1",
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contextWindows: { "mimo-v2.5-pro": 1048576 },
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},
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],
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[
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"SiliconFlow",
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{
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baseUrl: "https://api.siliconflow.cn/v1",
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contextWindows: { "Pro/MiniMaxAI/MiniMax-M2.7": 200000 },
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},
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],
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[
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"SiliconFlow en",
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{
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baseUrl: "https://api.siliconflow.com/v1",
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contextWindows: { "MiniMaxAI/MiniMax-M2.7": 200000 },
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},
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],
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[
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"Novita AI",
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{
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baseUrl: "https://api.novita.ai/openai/v1",
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contextWindows: { "zai-org/glm-5.1": 202800 },
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},
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],
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[
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"Nvidia",
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{
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baseUrl: "https://integrate.api.nvidia.com/v1",
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contextWindows: { "moonshotai/kimi-k2.5": 262144 },
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},
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],
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]);
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describe("Codex Chat provider presets", () => {
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it("marks migrated Chat Completions presets for local routing", () => {
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for (const [name, expected] of expectedChatPresets) {
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const preset = codexProviderPresets.find((item) => item.name === name);
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expect(preset, `${name} preset`).toBeDefined();
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expect(preset?.apiFormat).toBe("openai_chat");
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expect(extractCodexBaseUrl(preset?.config)).toBe(expected.baseUrl);
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expect(extractCodexWireApi(preset?.config)).toBe("responses");
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expect(preset?.endpointCandidates).toContain(expected.baseUrl);
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expect(preset?.modelCatalog?.length).toBeGreaterThan(0);
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expect(extractCodexModelName(preset?.config)).toBe(
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preset?.modelCatalog?.[0]?.model,
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);
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expect(
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Object.fromEntries(
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(preset?.modelCatalog ?? []).map((model) => [
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model.model,
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model.contextWindow,
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]),
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),
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).toEqual(expected.contextWindows);
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}
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});
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});
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