Build a Practical Fix and Verify Example in Debugging and Problem Solving

Define the build target

For Fix and Verify, create or use a controlled failure, capture the error, identify the failing boundary, fix one cause, and rerun the original reproduction. Build the boundary case using this implementation lens: Use reproducible symptoms, logs, traces, debugger state, hypotheses, minimal changes, and repeatable verification to isolate causes instead of guessing.

Keep the Fix and Verify build centered on these technical constraints: Reproduce consistently. Read the first relevant error. Apply them through this path lens: Use reproducible symptoms, logs, traces, debugger state, hypotheses, minimal changes, and repeatable verification to isolate causes instead of guessing. Use reproducible symptoms, logs, traces, debugger state, hypotheses, minimal changes, and repeatable verification to isolate causes instead of guessing.

Implement the core behavior

Implement Fix and Verify around the module artifact—a working fix and verify example with an explicit success and failure check—and keep the implementation specific to this path context: Use reproducible symptoms, logs, traces, debugger state, hypotheses, minimal changes, and repeatable verification to isolate causes instead of guessing.

def average(total, count):
    return total / count

cases = [(30, 3), (0, 0)]
for total, count in cases:
    try:
        print(total, count, average(total, count))
    except Exception as exc:
        print(type(exc).__name__, str(exc), {'total': total, 'count': count})

python3 reproduce.py

The normal case succeeds and the zero-count input reproduces a precise ZeroDivisionError with the failing input recorded.

practice/\n├── README.md\n├── fix-and-verify-build.py\n└── evidence/\n    └── expected-result.txt

Run the complete path

Run one realistic Fix and Verify case end to end and record the required evidence: the relevant output, test, log, query result, or rendered state for Fix and Verify. Interpret the result through this path context: Use reproducible symptoms, logs, traces, debugger state, hypotheses, minimal changes, and repeatable verification to isolate causes instead of guessing.

Change one meaningful condition

Modify one condition central to Fix and Verify using this path context: Use reproducible symptoms, logs, traces, debugger state, hypotheses, minimal changes, and repeatable verification to isolate causes instead of guessing. Predict the new result before rerunning the same workflow.

Verify the artifact

Your deliverable is a working fix and verify example with an explicit success and failure check.

Common mistakes to avoid

• Fixing symptom instead of cause.
• Catching all exceptions and hiding them.
• Changing multiple variables.
• Not retesting original failure.