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When should I use assert in a small Python program?

Quick answer

Use assert to check an internal assumption that should hold if your program’s logic is working. Don’t rely on it to validate user input or enforce any rule that must be checked on every run: Python may omit assertions when run with optimization (-O). For required checks, use an explicit condition and raise an appropriate exception instead. [S1]

LET’S WORK THROUGH IT

The question, the details, the next step.

Question

I’m writing a small Python program. What is assert for, and when is it a good fit?

Geez

Use assert as a debugging check for an assumption your code expects to hold. For example, after your program’s logic selects an item from an internal list, an assertion could check that the result is not None if that should be guaranteed by the earlier steps.

The idea is: “This should already be true if my program’s logic is working.” Assertions are not a general-purpose way to reject bad input. Python may omit them when run with optimization (-O), so they cannot guarantee that a check happens on every run. [S1]

Follow-up question

How do I choose between an assertion and an exception when checking a value someone entered?

Geez

Ask whether the check is a rule the program must enforce. If a negative count must be rejected, use an explicit condition and raise an appropriate exception:

if count < 0:
    raise ValueError("count must be zero or greater")

That makes the check part of the program’s normal logic. By contrast, an assertion is suited to an internal assumption: a condition that should follow from earlier steps in your code. The Python reference cautions against assertions for checks that must always execute, including user-input validation. [S1]

Follow-up question

Can you compare the two approaches with a small example?

Geez

Suppose a function receives a count from outside the function. The function needs to enforce its input rule explicitly:

def make_labels(count):
    if count < 0:
        raise ValueError("count must be zero or greater")
    return [f"Item {number}" for number in range(count)]

Now suppose a later internal step should only be reached with a nonnegative count because earlier logic has already checked it. An assertion could document that expectation:

assert count >= 0, "internal count should be nonnegative"

These are not interchangeable guarantees. The explicit exception check enforces the input rule. The assertion checks an internal assumption, and optimization may omit it. Don’t make correctness depend on that assertion being present. [S1]

A useful distinction is: is a failed check an invalid request the program must handle, or an unexpected result from its own logic? The first calls for explicit validation; the second may be a good fit for an assertion.

Follow-up question

What quick checklist can I use, especially for a small script?

Geez

Use this checklist:

  1. Must the check happen on every run? Use an explicit condition and raise an appropriate exception if it fails.
  2. Does the value come from outside your program? Validate it explicitly according to the rules your program must enforce.
  3. Is this an assumption about internal state? If it should follow from earlier logic, an assertion may help flag a programming mistake during development.
  4. Would omitting the check make the program violate a required rule? Don’t rely on assert; optimization may omit assertions. [S1]
  5. Will the failure be understandable? Choose an appropriate exception for required validation, or add a short message to an assertion when it would clarify the failed assumption.

For a small program, keep the distinction simple: explicitly reject inputs that violate required rules; reserve assertions for internal expectations. [S1]

A practical checklist

  • Decide whether the condition must be checked on every run.

  • Validate outside values explicitly according to required rules.

  • Use assert for internal assumptions that should hold if your logic is correct.

  • Do not make correctness depend on an assertion running.

  • Make failures understandable with an appropriate exception or a useful assertion message.

A few more useful answers

Can I use `assert` to check a command-line argument?

Not for a rule the program must enforce. Validate the argument explicitly and raise an appropriate exception; assertions may be omitted when Python runs with optimization. [S1]

What should I use an assertion for?

Use it to check an internal assumption that should hold if your program’s logic is working. It is a debugging check, not a required input-validation mechanism. [S1]

Should I replace every assertion with an exception?

No. Assertions can be useful for internal assumptions. Use an explicit condition and appropriate exception instead when the check represents a rule that must remain active on every run. [S1]

Sources

References used for this guide.

  1. [S1] Python Language Reference: The assert statement
    docs.python.org · Checked

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