Open netcdf file with dask

S4A.py

@@ -16,6 +16,7 @@
 from itertools import product
 import numpy as np
 import xarray as xr
+import dask
 import netCDF4
 import datasets
 from pathlib import Path
@@ -172,20 +173,20 @@ class S4A(datasets.GeneratorBasedBuilder):
     # method parameters are unpacked from `gen_kwargs` as given in `_split_generators`
     def _generate_examples(self, root_paths):
         for file in root_paths:
-            netcdf = netCDF4.Dataset(file)
+            data = xr.open_dataset(file, chunks=-1, engine='netcdf4')
 
             res = {
-                "patch_full_name": netcdf.patch_full_name,
-                "patch_year": netcdf.patch_year,
-                "patch_name": netcdf.patch_name,
-                "patch_country_code": netcdf.patch_country_code,
-                "patch_tile": netcdf.patch_tile
+                "patch_full_name": data.patch_full_name,
+                "patch_year": data.patch_year,
+                "patch_name": data.patch_name,
+                "patch_country_code": data.patch_country_code,
+                "patch_tile": data.patch_tile
             }
 
             time_recorded = False
 
             for variable in ['B01', 'B02', 'B03', 'B04', 'B05', 'B06', 'B07', 'B08', 'B09', 'B10', 'B11', 'B12', 'B8A', 'labels', 'parcels']:
-                v = xr.open_dataset(xr.backends.NetCDF4DataStore(netcdf[variable]))
+                v = xr.open_dataset(file, chunks=-1, engine='netcdf4', groups=variable)
                 if not time_recorded:
                     res['timestamp'] = (v.time.values.astype(np.int64) // 10 ** 9).tolist()
                     time_recorded = True