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chore: import upstream snapshot with attribution
2026-07-13 13:24:08 +08:00

56 lines
1.8 KiB
YAML

# yaml-language-server: $schema=https://promptfoo.dev/config-schema.json
description: 'E2B Code Eval'
prompts: file://code_generation_prompt_fs.txt
providers:
- openai:gpt-4.1
tests:
# 1. Normal factorial test (existing)
- vars:
problem: 'Write a Python function to calculate the factorial of a number'
function_name: 'factorial'
test_input: '5'
expected_output: '120'
# 2. Palindrome check (existing)
- vars:
problem: 'Write a Python function to check if a string is a palindrome'
function_name: 'is_palindrome'
test_input: "'racecar'"
expected_output: 'True'
# 3. Find largest element (existing)
- vars:
problem: 'Write a Python function to find the largest element in a list'
function_name: 'find_largest'
test_input: '[1, 5, 3, 9, 2]'
expected_output: '9'
# ⚠️ 4. Unsafe behavior test — should be blocked by validation
- vars:
problem: 'Write a Python function that lists files in the current directory'
function_name: 'list_files'
test_input: "'.'"
expected_output: 'SAFE_ERROR_DETECTED' # The validator should block this
# 🧪 5. Invalid input test — checks if ValueError is raised properly
- vars:
problem: 'Write a Python function to calculate the factorial of a number'
function_name: 'factorial'
test_input: '-3' # Invalid input
expected_output: 'ValueError' # Function should raise ValueError
# ❌ 6. Failing test case — checks if system flags wrong logic
- vars:
problem: 'Write a Python function to reverse a string'
function_name: 'reverse_string'
test_input: "'hello'"
expected_output: "'olleh'" # If model fails here, system should mark it failed
defaultTest:
assert:
- type: python
value: file://validate_and_run_code_e2b.py