Assert vs Verify: What is Difference?
Both assert
and verify
are used for validation, but they have key differences in behavior and use cases.
1. assert
(Python)
- Used for debugging and checking conditions.
- If the condition is
False
, it raises anAssertionError
and stops execution. - Can be disabled using the
-O
(optimize) flag when running Python. - Typically used for developer debugging and internal checks.
Example:
pythonCopy codex = 10
assert x > 5, "x should be greater than 5" # No error
assert x < 5, "x should be less than 5" # Raises AssertionError
2. verify
(Test Automation)
- Not a built-in Python feature but commonly used in testing frameworks like Selenium.
- Unlike
assert
,verify
does not stop execution on failure. - Used for soft assertions (logging failures but continuing execution).
Example in Selenium (Test Automation)
pythonCopy codefrom selenium import webdriver
driver = webdriver.Chrome()
driver.get("https://example.com")
title = driver.title
if title != "Expected Title":
print("Verification Failed: Title does not match") # Execution continues
Key Differences
Feature | assert (Python) | verify (Testing Frameworks) |
---|---|---|
Purpose | Debugging & error-checking | Test validation without stopping execution |
Failure Handling | Stops execution (AssertionError ) | Logs failure but continues execution |
Can be Disabled | Yes (-O flag) | No |
Common Use Case | Code validation | Automated testing (e.g., Selenium) |
When to Use What?
- Use
assert
for debugging and enforcing correctness in Python scripts. - Use
verify
in test automation (e.g., Selenium) when you want to log failures without stopping the test.
Let me know if you need further clarification! 🚀