Preserve the completed teach-and-repeat laboratory stage: reference preparation, cascaded acquisition, local tracking and recovery, recording lifecycle, replay qualification, and persistent Rerun scene controls. Document the open grid-picking regression and Rerun upgrade contract. No autonomous driving or loop-closure optimization is claimed.
34 lines
1.3 KiB
TypeScript
34 lines
1.3 KiB
TypeScript
import { StrictMode } from "react";
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import { createRoot } from "react-dom/client";
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import { applyNodedcTheme } from "@nodedc/ui-core";
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import "@nodedc/tokens/tokens.css";
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import "@nodedc/tokens/themes.css";
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import "@nodedc/ui-core/styles.css";
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import App from "./App";
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import { installedDevicePlugins, installedNodeSensorContributions } from "./composition/devicePlugins";
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import { PlanningTestProvider } from "./core/missions/PlanningTestContext";
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import { DevicePluginHostProvider } from "./core/device-plugins/DevicePluginHost";
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import { ComputeContourProvider } from "./core/system/ComputeContourContext";
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import "./styles.css";
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const rootElement = document.getElementById("root");
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if (!rootElement) {
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throw new Error("Не найден корневой элемент пункта управления.");
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}
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rootElement.classList.add("nodedc-ui-root");
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rootElement.dataset.nodedcUi = "";
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applyNodedcTheme(rootElement, { theme: "dark" });
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createRoot(rootElement).render(
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<StrictMode>
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<DevicePluginHostProvider plugins={installedDevicePlugins} nodeSensorContributions={installedNodeSensorContributions}>
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<ComputeContourProvider>
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<PlanningTestProvider><App /></PlanningTestProvider>
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</ComputeContourProvider>
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</DevicePluginHostProvider>
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</StrictMode>,
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);
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