Describe the bug
Following the Tutorial (A Gentle Introduction to Anomaly Detection in Merlion, I receive the following error:
84 df = df.drop_duplicates(subset="timestamp", keep="first")
85 logger.warning(f"Time series {csv} (index {i}) has timestamp duplicates. Kept first values.")
---> 87 all_dt = np.unique(np.diff(df["timestamp"])).astype(np.int64)
88 gcd_dt = all_dt[0]
89 for dt in all_dt[1:]:

TypeError: int() argument must be a string, a bytes-like object or a real number, not 'Timedelta'

To Reproduce
Perform the first step in the tutorial on Anomaly Detection

Expected behavior
Receive a train & test dataset

Screenshots
N/A

Desktop (please complete the following information):

• OS: Windows 11
• Merlion Version: Main code branch

Additional context
Fixed the issue by changing line 87 in nab.py
FROM:
all_dt = np.unique(np.diff(df["timestamp"])).astype(np.int64)

TO:
all_dt = np.unique(np.diff(df["timestamp"]))