TypeError: expected np.ndarray (got numpy.ndarray) when using forecast function

[Charmery]

Hello,
I encountered a TypeError while using the timesFM model. The details are as follows:
Environment:

• Python version: 3.10
• checkpoint: timesfm-1.0-200m-pytorch
  Issue Description:
  I received the following error when attempting to use the forecast function for prediction:

TypeError: expected np.ndarray (got numpy.ndarray)

Error Traceback:

TypeError                                 Traceback (most recent call last)
Cell In[5], line 9
...
--> 9 point_forecast, experimental_quantile_forecast = tfm.forecast(
     10     forecast_input,
     11     freq=frequency_input,
     12 )
File ~/.conda/envs/czy-timesfm/lib/python3.10/site-packages/timesfm/timesfm_torch.py:130, in TimesFmTorch.forecast(self, inputs, freq, window_size, forecast_context_len, return_forecast_on_context, truncate_negative)
...
TypeError: expected np.ndarray (got numpy.ndarray)

Code Example:

forecast_input = [
    np.sin(np.linspace(0, 20, 100)),
    np.sin(np.linspace(0, 20, 200)),
    np.sin(np.linspace(0, 20, 400)),
]
frequency_input = [0, 1, 2]
point_forecast, experimental_quantile_forecast = tfm.forecast(
    forecast_input,
    freq=frequency_input,
)

I confirmed that forecast_input is a list containing multiple numpy.ndarray objects, but it seems there is a type error when processing within the forecast function. Is this an issue with my usage or a bug in timesFM? How can I resolve this issue?
Thank you!