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Count Records Processed per Category in Python

Use a Counter dictionary to track how many records of each type (ok, error, retry) were processed in a data pipeline.

from collections import Counter
import random

processed_counter = Counter()

def process_records(records):
    for record in records:
        processed_counter[record] += 1
    return len(records)

if __name__ == "__main__":
    sample_records = [random.choice(["ok", "error", "retry"]) for _ in range(10)]
    print(f…

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