<script src='https://cdnjs.cloudflare.com/ajax/libs/lodash.js/4.17.5/lodash.min.js'></script>var MyObject = { "person1": { "name": "Alice", "age": 30, "address": { "street": "123 Maple St", "city": "Wonderland", "zip": "12345" }, "hobbies": ["reading", "chess", "hiking"] }, "person2": { "name": "Bob", "age": 28, "address": { "street": "456 Oak St", "city": "Mystic Falls", "zip": "67890" }, "hobbies": ["gaming", "cycling", "cooking"] }, "person3": { "name": "Charlie", "age": 35, "address": { "street": "789 Pine St", "city": "Haven", "zip": "13579" }, "hobbies": ["painting", "running", "swimming"] }, "company1": { "name": "TechCorp", "location": { "city": "Silicon Valley", "state": "CA" }, "employees": [ { "name": "David", "role": "Engineer", "experience": 5 }, { "name": "Eva", "role": "Designer", "experience": 3 }, { "name": "Frank", "role": "Product Manager", "experience": 7 } ] }, "company2": { "name": "DesignCo", "location": { "city": "New York", "state": "NY" }, "employees": [ { "name": "Grace", "role": "Architect", "experience": 6 }, { "name": "Henry", "role": "Graphic Designer", "experience": 4 }, { "name": "Isabel", "role": "UX Specialist", "experience": 5 } ] }, "company3": { "name": "BuildIt", "location": { "city": "Chicago", "state": "IL" }, "employees": [ { "name": "Jack", "role": "Civil Engineer", "experience": 8 }, { "name": "Kara", "role": "Project Manager", "experience": 9 }, { "name": "Liam", "role": "Construction Worker", "experience": 2 } ] }, "product1": { "name": "Laptop", "category": "Electronics", "specs": { "processor": "Intel i7", "memory": "16GB", "storage": "512GB SSD" }, "price": 1200 }, "product2": { "name": "Smartphone", "category": "Electronics", "specs": { "processor": "Snapdragon 888", "memory": "8GB", "storage": "256GB" }, "price": 800 }, "product3": { "name": "Tablet", "category": "Electronics", "specs": { "processor": "Apple M1", "memory": "8GB", "storage": "128GB" }, "price": 600 }, "project1": { "title": "Project Alpha", "deadline": "2024-12-31", "team": { "leader": "Michael", "members": ["Natalie", "Oscar", "Peter"] }, "status": "In Progress" }, "project2": { "title": "Project Beta", "deadline": "2024-06-30", "team": { "leader": "Quincy", "members": ["Rachel", "Steven", "Tracy"] }, "status": "Completed" }, "project3": { "title": "Project Gamma", "deadline": "2025-03-15", "team": { "leader": "Uma", "members": ["Victor", "Wendy", "Xander"] }, "status": "Not Started" }, "event1": { "name": "Conference 2024", "date": "2024-11-20", "location": { "venue": "Convention Center", "city": "Las Vegas", "state": "NV" }, "attendees": 500 }, "event2": { "name": "Workshop on AI", "date": "2024-08-15", "location": { "venue": "Tech Park", "city": "San Francisco", "state": "CA" }, "attendees": 200 }, "event3": { "name": "Web Development Bootcamp", "date": "2024-07-10", "location": { "venue": "Innovation Hub", "city": "Austin", "state": "TX" }, "attendees": 150 }}var myCopy = null;myCopy = JSON.parse(JSON.stringify(MyObject));myCopy = structuredClone(MyObject);--enable-precise-memory-info flag.
| Test case name | Result |
|---|---|
| JSON parse | |
| Native structuredClone |
| Test name | Executions per second |
|---|---|
| JSON parse | 76651.7 Ops/sec |
| Native structuredClone | 45976.0 Ops/sec |
It looks like you have a large JSON object representing data for various products, projects, and events, along with benchmarking information.
To answer your question, I'll focus on the JSON parse and Native structuredClone test cases.
For JSON parse, we can analyze the code: "myCopy = JSON.parse(JSON.stringify(MyObject));". This code creates a deep copy of the original object using structuredClone (not available in older browsers) or JSON.parse(JSON.stringify()).
However, since structuredClone is not supported in older browsers, I'll assume the benchmark results are for modern browsers that support it. In this case, the execution time for JSON parse would be lower due to the performance benefits of structuredClone. But without more specific data on browser versions and hardware, it's difficult to provide a precise answer.
As for Native structuredClone, since it's not supported in older browsers, I'll assume the benchmark results are for modern browsers that support it. In this case, the execution time should be lower compared to using JSON.parse(JSON.stringify()) due to its performance benefits.
To give you a more specific answer, could you please provide:
JSON parse and Native structuredClone in the benchmark results?With this information, I can provide a more detailed analysis and answer your question.
