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from concurrent.futures import ThreadPoolExecutor
from simplebayes import SimpleBayes
def test_parallel_train_and_score_completes():
classifier = SimpleBayes()
def train_and_score(index: int) -> None:
classifier.train("tech", f"python fastapi service sample {index}")
_ = classifier.score("python service")
with ThreadPoolExecutor(max_workers=8) as pool:
list(pool.map(train_and_score, range(50)))
result = classifier.classify_result("python service")
assert result.category == "tech"
assert result.score > 0
summaries = classifier.get_summaries()
assert summaries["tech"].token_tally == 250
assert classifier.tally("tech") == 250
def test_parallel_classify_during_mutation():
classifier = SimpleBayes()
classifier.train("alpha", "one two three")
classifier.train("beta", "four five six")
def mutate() -> None:
for _ in range(50):
classifier.train("alpha", "one two three")
classifier.untrain("alpha", "one")
def classify() -> None:
for _ in range(50):
_ = classifier.classify("one five")
_ = classifier.get_summaries()
with ThreadPoolExecutor(max_workers=4) as pool:
futures = [pool.submit(mutate), pool.submit(classify), pool.submit(classify)]
for future in futures:
future.result()
assert classifier.tally("alpha") == 103
assert classifier.tally("beta") == 3
summaries = classifier.get_summaries()
assert summaries["alpha"].token_tally == 103
assert summaries["beta"].token_tally == 3
assert abs((summaries["alpha"].prob_in_cat + summaries["alpha"].prob_not_in_cat) - 1.0) < 1e-12
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