Hbad 184 Azumi Mizushima Insulte Top ❲10000+ Complete❳

Azumi Mizushima’s story became a beloved tale in Kaminari Bay, retold each summer as the lighthouse’s light swept across the waves—reminding all who heard it that the brightest guidance comes from the harmony of past wisdom and future hope.

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def extract_top_insults(df: pd.DataFrame, target_name: str = "Azumi Mizushima", top_n: int = 10, min_len: int = 3) -> list[tuple[str, int]]: """ Returns a list of (insult_phrase, count) sorted by count descending. """ # ------------------------------------------------- # 1️⃣ Keep only rows that mention the target name # ------------------------------------------------- mask = df["comment"].str.contains(target_name, case=False, na=False) df_target = df[mask].copy() Azumi Mizushima’s story became a beloved tale in

Azumi Mizushima was a brilliant, if slightly scatter‑brained, robotics prodigy at the university’s cutting‑edge lab. Her latest project—codenamed —was a small, sleek drone designed to deliver messages across the sprawling campus in a flash. The “H‑Bad” part of the name was a joke among her teammates: the prototype was notorious for “hitting a bad patch” every time they tried to fine‑tune its navigation algorithms. Her latest project—codenamed —was a small, sleek drone

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Instead of confronting the mayor with more arguments, Azumi decided to —not just to the mayor, but to the wind itself. She climbed the lighthouse at dawn, watching the sun rise over the sea. As the first rays painted the water gold, an old fisherman named Hiro joined her.

# ------------------------------------------------- # 3️⃣ Identify insulting comments # ------------------------------------------------- insults = [] for raw in df_target["comment"].astype(str): cleaned = normalize_text(raw) if len(cleaned.split()) < min_len: continue if is_insult(cleaned, profanity_obj, sia): insults.append(cleaned)