Pynapple

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- Full `pynajax` backend compatibility
- Fixed `TsdFrame` column slicing

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- Fixing IntervalSet `__repr__`. Tabulate conflict with numpy 1.26.

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- Improving `__repr__` for all objects.
- TsGroup `__getattr__` and `__setattr__` added to access metadata columns directly
- TsGroup `__setitem__` now allows changes directly to metadata
- TsGroup `__getitem__` returns column of metadata if passed as string

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- `smooth` now takes standard deviation in time units
- Fixed `TsGroup` saving method.
- `__getattr__` of `BaseTsd` allow numpy functions to be attached as attributes of Tsd objects
- Added `get` method for `TsGroup`
- Tsds can be concatenate vertically if time indexes matches.

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- Fixed pynapple `loc` method for new `IntervalSet`

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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).