In this example, calling “outer_function(5)” triggers the nested inner_function to double the value passed (5), resulting in “10”. The outer function then returns this result, which is printed to the console. Check out these Python Interview Questions to ace your interview. The return...
from haystack.components.retrievers.in_memory import InMemoryEmbeddingRetriever from haystack.components.builders import PromptBuilder from haystack.components.generators import OpenAIGenerator template = """ Answer the questions based on the given context. Context: {% for document in documents %} {{ docu...
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问Tensorflow: AttributeError：'function‘对象没有属性'graph’EN在使用TensorFlow进行深度学习任务时，有...
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In this article, we’ll learn about Python’s min() function and how to use it. If you are preparing for a tech interview, check out our technical interview checklist, interview questions page, and salary negotiation e-book to get interview-ready! Also, read Python String join() Method,...
In this article, we’ll learn about Python’s upper() function and how to use it. If you are preparing for a tech interview, check out our technical interview checklist, interview questions page, and salary negotiation e-book to get interview-ready! Also, read Python String join() Method...
Global variables can be a powerful tool in Python programming, but they must be used with care to avoid potential issues such as naming conflicts and unintended side effects. We have discussed how to use global variables in Python functions with examples. If you have any questions please comment...
Answer the questions based on the given context. Context: {% for document in documents %} {{ document.content }} {% endfor %} Question: {{ question }} Answer: """ rag_pipe = Pipeline() rag_pipe.add_component("embedder", SentenceTransformersTextEmbedder(model="sentence-transformers/all-...
Python Upper function python pandas uppercase import pandas as pd df = pd.DataFrame([{"email": "test@gmail.com"}]) is_upper = lambda x: x.upper() if isinstance(x, str) else x df = df.applymap(trim_strings) a = df.to_dict("records") 我得到的反应是: [{'email': 'test@...