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Update shared_vis_python_exe.py
Browse files- shared_vis_python_exe.py +138 -62
shared_vis_python_exe.py
CHANGED
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@@ -213,74 +213,150 @@ class PythonExecutor:
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return [g.split("\n") for g in gens]
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# @staticmethod
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def execute(
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) -> Tuple[Union[str, Dict[str, Any]], str]:
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def apply(self, code, messages):
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return self.batch_apply([code], messages)[0]
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return [g.split("\n") for g in gens]
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# @staticmethod
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# def execute(
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# self,
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# code,
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# messages,
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# get_answer_from_stdout=True,
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# runtime_class=None,
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# # run_time_instance=None,
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# answer_symbol=None,
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# answer_expr=None,
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# timeout_length=20,
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# ) -> Tuple[Union[str, Dict[str, Any]], str]:
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# # print("dome")
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# # try:
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# # 在每个进程中创建新的运行时实例
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# print(f"################################################## I am excuting ! #############################################################")
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# print(str(messages)[0:500])
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# print(str(messages)[-500:])
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# print(runtime_class)
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# # runtime = runtime_class(messages)
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# runtime = self.persistent_runtime
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# print(f"################################################## I am excuting ! #############################################################")
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# if get_answer_from_stdout:
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# program_io = io.StringIO()
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# with redirect_stdout(program_io):
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# timeout(timeout_length)(runtime.exec_code)("\n".join(code))
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# program_io.seek(0)
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# result = program_io.read()
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# elif answer_symbol:
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# timeout(timeout_length)(runtime.exec_code)("\n".join(code))
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# result = runtime._global_vars.get(answer_symbol, "")
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# elif answer_expr:
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# timeout(timeout_length)(runtime.exec_code)("\n".join(code))
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# result = timeout(timeout_length)(runtime.eval_code)(answer_expr)
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# else:
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# if len(code) > 1:
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# timeout(timeout_length)(runtime.exec_code)("\n".join(code[:-1]))
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# result = timeout(timeout_length)(runtime.eval_code)(code[-1])
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# else:
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# timeout(timeout_length)(runtime.exec_code)("\n".join(code))
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# result = ""
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# # 检查是否有捕获的图像
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# captured_figures = runtime._global_vars.get("_captured_figures", [])
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# if captured_figures:
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# # 如果有文本输出和图像,将它们组合
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# if result:
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# result = {
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# 'text': result,
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# 'images': captured_figures
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# }
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# else:
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# result = {'images': captured_figures}
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# report = "Done"
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# # except Exception as e:
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# # result = ""
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# # report = f"Error: {str(e)}\n{traceback.format_exc()}"
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# # 确保结果可序列化
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# try:
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# pickle.dumps(result)
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# except Exception as e:
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# result = f"Result serialization error: {str(e)}"
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# report = f"Serialization Error: {str(e)}"
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# return result, report
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def execute(
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self,
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code,
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messages,
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get_answer_from_stdout=True,
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runtime_class=None,
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# run_time_instance=None,
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answer_symbol=None,
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answer_expr=None,
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# 移除 timeout_length 参数
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) -> Tuple[Union[str, Dict[str, Any]], str]:
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# print("dome")
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# try:
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# 在每个进程中创建新的运行时实例
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print(f"################################################## I am excuting ! #############################################################")
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print(str(messages)[0:500])
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print(str(messages)[-500:])
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print(runtime_class)
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# runtime = runtime_class(messages)
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runtime = self.persistent_runtime
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print(f"################################################## I am excuting ! #############################################################")
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if get_answer_from_stdout:
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program_io = io.StringIO()
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with redirect_stdout(program_io):
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# 移除 timeout 调用
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runtime.exec_code("\n".join(code))
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program_io.seek(0)
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result = program_io.read()
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elif answer_symbol:
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# 移除 timeout 调用
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runtime.exec_code("\n".join(code))
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result = runtime._global_vars.get(answer_symbol, "")
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elif answer_expr:
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# 移除 timeout 调用
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runtime.exec_code("\n".join(code))
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# 移除 timeout 调用
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result = runtime.eval_code(answer_expr)
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else:
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if len(code) > 1:
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# 移除 timeout 调用
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runtime.exec_code("\n".join(code[:-1]))
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# 移除 timeout 调用
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result = runtime.eval_code(code[-1])
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else:
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# 移除 timeout 调用
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runtime.exec_code("\n".join(code))
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result = ""
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# 检查是否有捕获的图像
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captured_figures = runtime._global_vars.get("_captured_figures", [])
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if captured_figures:
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# 如果有文本输出和图像,将它们组合
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if result:
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result = {
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'text': result,
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'images': captured_figures
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}
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else:
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result = {'images': captured_figures}
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report = "Done"
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# except Exception as e:
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# result = ""
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# report = f"Error: {str(e)}\n{traceback.format_exc()}"
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# 确保结果可序列化
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try:
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pickle.dumps(result)
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except Exception as e:
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result = f"Result serialization error: {str(e)}"
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report = f"Serialization Error: {str(e)}"
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return result, report
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def apply(self, code, messages):
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return self.batch_apply([code], messages)[0]
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