Your Task

1. Implement a Python script analyze.py

The script should:

• Find all .py files in the src/ directory.
• Detects the following types of violations:

Violations to Detect:

• Line Length Violation:
  Any line exceeding 80 characters (excluding trailing whitespace).
• Forbidden Keywords:
  Use of any of the following: print, eval, or exec.
  These must be ignored if they appear in:
  • Full-line comments (lines starting with #)
  • Inline comments (i.e., anything after #)
• Unclosed String Literals:
  Detect unclosed ' or " string literals in any line.

2. Classify each file

Based on the number and type of violations:

• CLEAN: 0 violations
• LOW RISK: 1-5 violations and no forbidden keywords
• HIGH RISK: more than 5 violations or any forbidden keyword used (even once)

3. Output format

One line per file:

<file_path>: CLEAN / LOW RISK / HIGH RISK

Example:

src/file1.py: HIGH RISK
src/file2.py: CLEAN
src/file3.py: LOW RISK

4. Create a GitHub Actions workflow

It should:

• Trigger on every push and pull request
• Automatically run analyze.py
• Print the results of your analysis in the CI logs