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['numpy','matplotlib'] if importlib.util.find_spec(p) is None]\nif missing: subprocess.check_call([sys.executable,'-m','pip','install',*missing])\nimport torch, numpy as np\nprint('Python',sys.version.split()[0], 'torch',torch.__version__, 'numpy',np.__version__, 'device: CPU')\n```","sha256":"3098d3eb8f780b33c1762433ec3a9ada3dfc16c7c7b446357e70e645c768b17f","chapter":{"id":"course","title":"先预测采样结果，再判断指标名称 · 实现代码"},"unit":{"id":"notebook-blocks/69c46b79dec64732aba46f41c673c245","title":"先预测采样结果，再判断指标名称 · 实现代码"},"page":{"id":"reading-opening","title":"先预测采样结果，再判断指标名称 · 实现代码","number":1},"sectionTitle":"先预测采样结果，再判断指标名称 · 实现代码","currentQuestion":"先预测采样结果，再判断指标名称 · 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