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Introduction. Have you ever wondered how to build a scalable system like the one you use most for interview practice? Leetcode has become a cornerstone for s...
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Google Docs is a powerful, web-based word processing application that allows multiple users to create, edit, and collaborate on documents in real time. Desig...
Create the Lazy-Loaded Component. In the application, add a new component using the Angular CLI command, as shown below.
Basic Introduction. Nodejs is a JavaScript runtime build over Chrome's V8 JavaScript engine. Nodejs is generally used a backend tool to cater to client apis.
import docx def create_word_letter(recipient_name, recipient_address, sender_name, sender_address, body_text, file_name="letter.docx"): """ 创建一个包含信件的 Microsoft Word 文档。 参数: recipient_name: 收件人的姓名。 recipient_address: 收件人的地址(字符串列表)。 sender_name: 发件人的姓名。 sender_address: 发件人的地址(字符串列表)。 body_text: 信件的正文。 file_name: 要创建的 Word 文档的名称。 """ doc = docx.Document() # 发件人的地址 doc.add_paragraph(sender_name) for line in sender_address: doc.add_paragraph(line) doc.add_paragraph() # 添加一个空段落以增加间距 # 日期(您可以在此处添加日期逻辑) doc.add_paragraph("日期:[插入日期]") doc.add_paragraph() # 收件人的地址 doc.add_paragraph(recipient_name) for line in recipient_address: doc.add_paragraph(line) doc.add_paragraph() # 称谓 doc.add_paragraph("尊敬的 " + recipient_name + ",") doc.add_paragraph() # 信件正文 doc.add_paragraph(body_text) doc.add_paragraph() # 结尾 doc.add_paragraph("致以最诚挚的问候 最好的祝福") doc.add_paragraph(sender_name) doc.save(file_name) print(f"信件已保存为 {file_name}") # 示例用法: recipient_name = "John Doe" recipient_address = [ "泰安宏海食品有限公司 驰马农场,窖坑子村,下马关镇,同心县,宁夏回族自治区,中国", "宁夏吴忠市同心县下马关镇窖坑子村,中华人民共和国" ] sender_name = "Louis Amprako" sender_address = [""] body_text = "SRS 已仔细研究了您提交的文件、认证申请、您的运营描述及其附件。在下表中,您可以看到我们的反馈,请阅读并回复我们:针对我们有疑问或需要澄清的地方,请根据以下评论更正运营描述(OPD 和 OPD 附件)。您的运营描述符合要求。检查员将很快与您联系以安排现场检查。请尽快将更新后的 OPD 和 OPD 附件以及其他文件发送给我们以备检查。" create_word_letter(recipient_name, recipient_address, sender_name, sender_address, body_text)
def listsum(a,b): print("Sum: ",(a+b)) listsum(10,20)
public class code{ public static void main(String[] args) { int num1 = 10; int num2 = 20; System.out.println("Sum = "+(num1+num2)); } }
-- Create a table CREATE TABLE users ( id SERIAL PRIMARY KEY, name VARCHAR(100), age INT ); -- Insert sample data INSERT INTO users (name, age) VALUES ('Alice', 25), ('Bob', 30), ('Charlie', 22); -- Select all data SELECT * FROM users; -- Drop the table to clean up DROP TABLE users;
def get_blog_post(post_id): # Step 1: Check Cache cached_post = redis.get(f"blog_post:{post_id}") if cached_post: return cached_post # Return cached data (cache hit) # Step 2: Cache Miss - Fetch from DB post_data = fetch_post_from_db(post_id) # Simulate DB fetch # Store in Cache with TTL (e.g., 1 hour) redis.setex(f"blog_post:{post_id}", 3600, post_data) return post_data # Return data from DB (cache miss) def update_blog_post(post_id, new_data): # Update post in the database (simulate DB update) update_post_in_db(post_id, new_data) # Step 3: Invalidate Cache redis.delete(f"blog_post:{post_id}") # Invalidate cache def fetch_post_from_db(post_id): # Simulate a database fetch operation return {"id": post_id, "title": "Blog Post Title", "content": "Blog content"} def update_post_in_db(post_id, new_data): # Simulate database update pass
SET user:1001:name "Axhutos Singh" GET user:1001:name SETEX session:12345 3600 "active" INCR user:1001:login_count LPUSH user:1001:tasks "task1" "task2" "task3" LRANGE user:1001:tasks 0 -1 SADD user:1001:friends 2001 2002 2003 SISMEMBER user:1001:friends 2002 HSET user:1001:profile age 30 HGETALL user:1001:profile