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The problem is that the current parse_row function uses line.split(","), which treats every comma as a field separator. When a value is wrapped in quotes and itself contains a comma, for example "Smith, Ana", the function incorrectly breaks it into two fields. This is a classic CSV parsing mistake. To fix it properly, you should stop splitting the string by hand and use Python's built-in csv module, which already implements the CSV format rules for you, including quoted fields: ```python import csv from io import StringIO def parse_row(line): reader = csv.reader(StringIO(line)) return next(reader) ``` Explanation: - Cause: split(",") has no concept of quoting, so any comma inside a quoted value is treated as a delimiter. - Fix: csv.reader understands quoting and returns the fields exactly as intended. - Why it works: wrapping the line in StringIO lets csv.reader read it like a small file, so "Smith, Ana" is kept as a single field. This is the smallest change that resolves the issue while keeping the function's signature and behavior for ordinary rows unchanged.

```python def parse_row(line): import csv from io import StringIO return next(csv.reader(StringIO(line))) ``` Cause: `split(",")` has no concept of quoting, so a comma inside a quoted value is treated as a field separator (violates RFC 4180 §2.6). Check: `parse_row('42,"Smith, Ana",active')` now returns `["42", "Smith, Ana", "active"]`, so the quoted-comma case parses correctly.