How can we use the save method with s3fs?

[tinaok]

I would like to use s3 storage for creating temporary image and final movies, in future to make use of dask cluster with shared s3 storage access.

import xarray as xr
from xmovie import Movie

ds = xr.tutorial.open_dataset('air_temperature').isel(time=slice(0,10))
mov = Movie(ds.air)
#mov.save('movie.mp4')
import s3fs
storage_options = {
    'anon': False, 
    }
}
s3 = s3fs.S3FileSystem(**storage_options )
pathvideo='demo3/video'
with s3.open(pathvideo, 'wb') as f:
     mov.save(f)

It does not accept the S3File.

---------------------------------------------------------------------------
TypeError                                 Traceback (most recent call last)
Cell In[3], line 2
      1 with s3.open(pathvideo, 'wb') as f:
----> 2      mov.save(f)

File /srv/conda/envs/notebook/lib/python3.11/site-packages/xmovie/core.py:516, in Movie.save(self, filename, remove_frames, remove_movie, progress, verbose, overwrite_existing, parallel, parallel_compute_kwargs, framerate, ffmpeg_options, gif_palette, gif_resolution_factor, gif_framerate)
    466 """Save out animation from Movie object.
    467 
    468 Parameters
   (...)
    512     (The default is 10).
    513 """
    515 # parse out directory and filename
--> 516 dirname = os.path.dirname(filename)
    517 filename = os.path.basename(filename)
    519 # detect gif filename

File <frozen posixpath>:152, in dirname(p)

TypeError: expected str, bytes or os.PathLike object, not S3File