What is mock data in unit testing?
Mock data in unit testing refers to simulated data that mimics real data to test the functionality of code without relying on actual data sources.
Why is it important to use mock data?
Using mock data allows developers to isolate tests, ensuring that they can test specific functionalities without external dependencies, which leads to more reliable and faster tests.
Can you give me an example of how to create mock data?
Sure! You can create mock data using libraries like Faker in Python, which generates random data for testing purposes, such as names, addresses, and emails.
Are there any downsides to using mock data?
Yes, one downside is that mock data may not always accurately represent real-world scenarios, which can lead to gaps in testing if not used carefully.
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