Run: 2026-04-24-01KQ03PAM998T3T20K9KFT80XX

To extract all valid email addresses from the given text, we can use a regular expression that matches standard email patterns. The valid emails must contain: - A local part (before `@`) with letters, digits, dots, hyphens, or underscores. - An `@` symbol. - A domain part (after `@`) with letters, digits, dots, or hyphens, followed by a dot and at least two letters (e.g., `.com`, `.co.uk`). The invalid examples (`not.an.email.com` and `@missing-username.com`) are excluded because they lack an `@` symbol or have an empty local part. **Solution Code:** ```python import re text = """Contact information: 1. John Doe - john.doe@example.com 2. Jane Smith - jane@smith-family.net 3. support@company.co.uk 4. info@subdomain.example.org 5. Invalid email: not.an.email.com 6. Another invalid: @missing-username.com""" pattern = r'\b[\w\.-]+@[\w\.-]+\.[a-zA-Z]{2,}\b' emails = re.findall(pattern, text) result = ",".join(emails) ``` **Output:** ``` john.doe@example.com,jane@smith-family.net,support@company.co.uk,info@subdomain.example.org ``` **Explanation:** 1. **Regular Expression:** `r'\b[\w\.-]+@[\w\.-]+\.[a-zA-Z]{2,}\b'`: - `\b`: Word boundary to ensure the email is a standalone word. - `[\w\.-]+`: Local part (letters, digits, underscores, dots, hyphens). - `@`: Literal `@` symbol. - `[\w\.-]+`: Domain part (letters, digits, dots, hyphens). - `\.[a-zA-Z]{2,}`: Top-level domain (e.g., `.com`, `.org`) with at least two letters. - `\b`: Word boundary at the end. 2. **Extraction:** `re.findall` extracts all matches from the text, ignoring invalid entries. 3. **Formatting:** `",".join(emails)` combines the emails into a comma-separated string without spaces. This approach efficiently captures the four valid emails while excluding the invalid ones.