Custom conditional seasonality: adding condition_name is giving error

[manishagupta15]

https://neuralprophet.com/how-to-guides/feature-guides/conditional_seasonality_peyton.html

df["ds"] = pd.to_datetime(df["ds"])
df["on_season"] = df["ds"].apply(lambda x: x.month in [9, 10, 11, 12, 1])
df["off_season"] = df["ds"].apply(lambda x: x.month not in [9, 10, 11, 12, 1])

m = NeuralProphet(weekly_seasonality=False)
m.set_plotting_backend("plotly-static")
m.add_seasonality(name="on_season", period=7, fourier_order=3, condition_name="on_season")
m.add_seasonality(name="off_season", period=7, fourier_order=3, condition_name="off_season")
metrics = m.fit(df, freq="D")

adding conditional_seasonlity in the code, I am getting error that " TypeError: add_seasonality() got an unexpected keyword argument 'condition_name'. can you please help. thanks