return '老师编号:'+str(self.tno) # 学生类,将文本答案逐行读出,调用Answer类返回每一行的答案 class Student(Person): def __init__(self, sno): super(self.__class__, self).__init__() self.sno = sno def answer(self): file = open('question.txt', 'r+') lines = file.readlines() f...
The short answer is “neither”, actually it is called “call by object” or “call by sharing”(you can checkherefor more info). The longer one starts with the fact that this terminology is probably not the best one to describe how Python works. In Python everything is an object and ...
You can ask a follow-up question by providing the ID of your chosen answer as the context for the continued conversation: Python 複製 import os from azure.core.credentials import AzureKeyCredential from azure.ai.language.questionanswering import QuestionAnsweringClient from azure.ai.language....
Question & Answer Q: uiautomator2 如何对单个设备进行初始化? A: python -m uiautomator2 init --serial $SERIAL Q: WEDITOR 是不是对安卓 5 以下的不友好? A: 对 Android 4.3(SDK: 18) 以上的支持的都很好。 Q: 有什么办法能够加快 atx 对 android 设备的图片的识别速度吗,感觉好慢啊? A: atx ...
Can anyone answer me this question in ? Thx Why the first one no need “Vector2D” in return but the second need ? Thanks class Vector2D: def __init__(self, x): self.x = x def __truediv__(self, other): return self.x + other.x first = Vector2D(5) second = Vector2D(3) ...
Click on “New Step” and search “Language – Question Answering” and choose amongst the three actions.Actions:Generate Answer from ProjectThis action helps in answering the specified question using your knowledge base in your project. You can give this query for generating answer from your “Sa...
This function is a simple question and answer function. I provide 6 default text models. If you have a better model, you can add new model in the extra model. Click Run and it will automatically download the model. When downloading the model is completed, search and load the node again,...
pythondomain_self_question.py"""输出示例(已经生成过了,没生过会显示生成的信息)所需的生成数量: 0""" 3.配置生成答案参数并运行domain_self_answer.py a.配置生成答案参数 示例:config.py # domain_self_answer.py 配置内容answer_prompt="你的名字叫[名字代号],是一款由[公司代号]在[时间代号]年开发的...
defpostprocess(self,outputs):"""Post-processes the output generated by the model."""# decode the output, ignoring special tokensanswer=self.processor.batch_decode(outputs,skip_special_tokens=True)returnanswer Here we use the processor to do all the post-processing and return the final, English...
https://python.langchain.com/docs/tutorials/rag/ One of the most powerful applications enabled by LLMs is sophisticated question-answering (Q&A) chatbots. These are applications that can answer questions about specific source information. These applications use a technique known as Retrieval Augmented...