Errors running prediction example with real fes2022b database

[diegoiglesias]

Describe the bug
When I run ex_prediction.py with the real fes2022b database downloaded from aviso, it takes forever, and then I get the following errors:

`{'tide': {'tide': <pyfes.core.tidal_model.CartesianComplex64 object at 0x104bb3bb0>}, 'radial': {'radial': <pyfes.core.tidal_model.CartesianComplex64 object at 0x107196e70>}}
/usr/local/Caskroom/miniforge/base/envs/venv/lib/python3.12/site-packages/pyfes/leap_seconds.py:119: UserWarning: Leap second file leap-seconds.txt has expired. Downloading a new version.
warnings.warn(
Traceback (most recent call last):
File "/Users/**/aviso-fes/examples/ex_prediction.py", line 77, in
tide, lp, _ = pyfes.evaluate_tide(handlers['tide'],
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/Caskroom/miniforge/base/envs/venv/lib/python3.12/site-packages/pyfes/init.py", line 124, in evaluate_tide
return core.evaluate_tide(
^^^^^^^^^^^^^^^^^^^
TypeError: evaluate_tide(): incompatible function arguments. The following argument types are supported:
1. (tidal_model: pyfes.core.AbstractTidalModelComplex128, date: numpy.ndarray, leap_seconds: numpy.ndarray[numpy.uint16[m, 1]], longitude: numpy.ndarray[numpy.float64[m, 1]], latitude: numpy.ndarray[numpy.float64[m, 1]], settings: Optional[pyfes.core.Settings] = None, num_threads: int = 0) -> tuple[numpy.ndarray[numpy.float64[m, 1]], numpy.ndarray[numpy.float64[m, 1]], numpy.ndarray[numpy.uint8[m, 1]]]
2. (tidal_model: pyfes.core.AbstractTidalModelComplex64, date: numpy.ndarray, leap_seconds: numpy.ndarray[numpy.uint16[m, 1]], longitude: numpy.ndarray[numpy.float64[m, 1]], latitude: numpy.ndarray[numpy.float64[m, 1]], settings: Optional[pyfes.core.Settings] = None, num_threads: int = 0) -> tuple[numpy.ndarray[numpy.float64[m, 1]], numpy.ndarray[numpy.float64[m, 1]], numpy.ndarray[numpy.uint8[m, 1]]]

Invoked with: {'tide': <pyfes.core.tidal_model.CartesianComplex64 object at 0x104bb3bb0>}, array(['1983-01-01T00:00:00', '1983-01-01T01:00:00',
'1983-01-01T02:00:00', '1983-01-01T03:00:00',
'1983-01-01T04:00:00', '1983-01-01T05:00:00',
'1983-01-01T06:00:00', '1983-01-01T07:00:00',
'1983-01-01T08:00:00', '1983-01-01T09:00:00',
'1983-01-01T10:00:00', '1983-01-01T11:00:00',
'1983-01-01T12:00:00', '1983-01-01T13:00:00',
'1983-01-01T14:00:00', '1983-01-01T15:00:00',
'1983-01-01T16:00:00', '1983-01-01T17:00:00',
'1983-01-01T18:00:00', '1983-01-01T19:00:00',
'1983-01-01T20:00:00', '1983-01-01T21:00:00',
'1983-01-01T22:00:00', '1983-01-01T23:00:00'],
dtype='datetime64[s]'), array([21, 21, 21, 21, 21, 21, 21, 21, 21, 21, 21, 21, 21, 21, 21, 21, 21,
21, 21, 21, 21, 21, 21, 21], dtype=uint16), array([-7.688, -7.688, -7.688, -7.688, -7.688, -7.688, -7.688, -7.688,
-7.688, -7.688, -7.688, -7.688, -7.688, -7.688, -7.688, -7.688,
-7.688, -7.688, -7.688, -7.688, -7.688, -7.688, -7.688, -7.688]), array([59.195, 59.195, 59.195, 59.195, 59.195, 59.195, 59.195, 59.195,
59.195, 59.195, 59.195, 59.195, 59.195, 59.195, 59.195, 59.195,
59.195, 59.195, 59.195, 59.195, 59.195, 59.195, 59.195, 59.195]), None, 1`

pyfes/Numpy/Python version information
print(pyfes.version)
2024.11.1
print(numpy.version)
2.2.1
print(sys.version)
3.12.7 | packaged by conda-forge | (main, Oct 4 2024, 15:55:29) [Clang 17.0.6 ]

I'm using a Macbook Pro 2,5 GHz Dual-Core Intel Core i7

[fbriol]

Can you please provide a minimum example to reproduce your error? Thank you.