TBgen_App/__pycache__/run_tbgen.cpython-312.pyc

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TB Generator - 根据DUT和项目要求生成Testbench（完整版）
支持多阶段流程: TBgen → TBsim → TBcheck → CGA → TBeval

用法:
    from run_tbgen import generate_tb
    tb_path, result = generate_tb(
        dut_code="module example(...); endmodule",
        description="项目描述",
        header="module example(input clk, ...);",
        task_id="my_task",
        model="qwen-max"
    )
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        生成Testbench（完整流程）

        参数:
            dut_code: str, DUT的Verilog代码
            description: str, 项目描述/需求
            header: str, DUT的module header
            task_id: str, 任务ID
            enable_cga: bool, 是否启用CGA优化
            cga_iter: int, CGA最大迭代次数

        返回:
            dict: 包含TB代码、评估结果等
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    root: "<22>outputz'/"
autoline:
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    promptscript: "pychecker"
    onlyrun: "TBgensimeval"
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    便捷函数：生成TB并保存

    参数:
        dut_code: str, DUT代码
        description: str, 项目描述
        header: str, module header
        task_id: str, 任务ID
        api_key_path: str, API密钥路径
        model: str, 使用的模型
        enable_cga: bool, 是否启用CGA
        output_dir: str, 输出目录

    返回:
        tuple: (TB文件路径, 结果字典)
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module example(
    input clk,
    input rst,
    input [7:0] a,
    input [7:0] b,
    output [15:0] y
);
    assign y = a * b;
endmodule
uF一个8位乘法器，输入两个8位无符号数，输出16位乘积zTmodule example(input clk, input rst, input [7:0] a, input [7:0] b, output [15:0] y);z'Generating TB for example multiplier...<2E>example_mul)r rrrr
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