#create test case
test_case = LLMTestCase(
    input=input,
    actual_output=actual_output,
    retrieval_context=retrieved_contexts,
    expected_output=expected_output)

#compute contextual precision and print results
contextual_precision.measure(test_case)
print("Score: ", contextual_precision.score)
print("Reason: ", contextual_precision.reason)

#compute contextual recall and print results
contextual_recall.measure(test_case)
print("Score: ", contextual_recall.score)
print("Reason: ", contextual_recall.reason)

#compute relevancy precision and print results
contextual_relevancy.measure(test_case)
print("Score: ", contextual_relevancy.score)
print("Reason: ", contextual_relevancy.reason)