• March 20, 2025

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 an AssertionError 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

Featureassert (Python)verify (Testing Frameworks)
PurposeDebugging & error-checkingTest validation without stopping execution
Failure HandlingStops execution (AssertionError)Logs failure but continues execution
Can be DisabledYes (-O flag)No
Common Use CaseCode validationAutomated 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! 🚀

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