In any programming language, assertions are the debugging tools that aid in the efficient operation of the code. Assumptions are primarily statements that a programmer knows to be true or always wants to be true and include in code so that if they are false, the code cannot continue to run.
If the supplied condition evaluates to True in Python, the assert statement is used to continue the execution. The assert condition raises the AssertionError exception with the supplied error message if it evaluates to False.
Syntax :
assert condition, error_message(optional)
where,
Example:
The following example demonstrates a simple assert statement.
x = 10
assert x > 0
print('x is a positive number.')
Output:
x is a positive number.
In the above illustration, the assert condition, x > 0, evaluates to True, allowing the next statement to be executed without any errors.
Example:
Python assert keyword with error message.
x = 0
assert x > 0, 'Only positive numbers are allowed'
print('x is a positive number.')
Output:
Traceback (most recent call last):
assert x > 0, 'Only positive numbers are allowed'
AssertionError: Only positive numbers are allowed
Note: also read about @property Decorator in Python
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