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from tests.candidate import complete_interview
from tests.grader import grade
from concurrent.futures import ThreadPoolExecutor
def complete_and_grade_interview(interview_type):
file_path, _ = complete_interview(interview_type, "test", model="gpt-3.5-turbo")
feedback = grade(file_path, model="gpt-4-turbo")
assert feedback["overall_score"] > 0.4
return feedback["overall_score"]
def test_complete_interview():
interview_types = ["ml_design", "math", "ml_theory", "system_design", "sql", "coding"]
scores = []
with ThreadPoolExecutor(max_workers=3) as executor:
futures = [executor.submit(complete_and_grade_interview, it) for it in interview_types]
for future in futures:
score = future.result()
scores.append(score)
assert sum(scores) / len(scores) > 0.6
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