Pynapple

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- Refactoring `IntervalSet` to pure numpy ndarray.
- Implementing new chain of inheritance for time series with abstract base class. `base_class.Base` holds the temporal methods for all time series and `Ts`. `time_series.BaseTsd` inherit `Base` and implements the common methods for `Tsd`, `TsdFrame` and `Tsd`.
- Automatic conversion to numpy ndarray for all objects that are numpy-like (typically jax).

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- Implementing `event_trigger_average` for all dimensions.
- Hiding jitted functions from users.

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- Removing GUI stack from pynapple. To create a NWB file, users need to install nwbmatic (https://github.com/pynapple-org/nwbmatic)
- Implementing `compute_perievent_continuous`
- Implementing `convolve` for Tsd, TsdFrame and TsdTensor
- Implementing `smooth` for fast gaussian smoothing of time series

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- Implementing `get` method that return both an interval or the closest timepoint

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- Implementing the numpy array container approach within pynapple
- TsdTensor for objects larger than 2 dimensions is now available

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- Fix issue in NWB reader class with units
- Implement a linear interpolation function.