caching h5 with lat / lon instead of /meta/lat and /meta/lon.

sup3r/preprocessing/cachers/base.py

@@ -225,8 +225,6 @@ def write_h5(
                     data_var = data_var.data
 
                 dset_name = dset
-                if dset in Dimension.coords_2d():
-                    dset_name = f'meta/{dset}'
                 if dset == Dimension.TIME:
                     dset_name = 'time_index'
 

sup3r/preprocessing/loaders/base.py

@@ -95,7 +95,7 @@ def _add_attrs(self, data):
             'source_files': str(self.file_paths),
             'date_modified': dt.utcnow().isoformat(),
         }
-        attrs['global_attrs'] = getattr(self.res, 'global_attrs', {})
+        attrs['global_attrs'] = getattr(self.res, 'global_attrs', ())
         attrs.update(getattr(self.res, 'attrs', {}))
         data.attrs.update(attrs)
         return data

sup3r/preprocessing/samplers/base.py

@@ -126,10 +126,11 @@ def preflight(self):
         msg = (
             f'sample_shape[2] * batch_size ({self.sample_shape[2]} * '
             f'{self.batch_size}) is larger than the number of time steps in '
-            'the raw data. This prevents us from building batches from '
-            'a single sample with n_time_steps = sample_shape[2] * batch_size '
-            'which is far more performant than building batches n_samples = '
-            'batch_size, each with n_time_steps = sample_shape[2].'
+            'the raw data. This prevents us from building batches with '
+            'a single sample with n_time_steps = sample_shape[2] * '
+            'batch_size, which is far more performant than building batches '
+            'with n_samples = batch_size, each with n_time_steps = '
+            'sample_shape[2].'
         )
         if self.data.shape[2] < self.sample_shape[2] * self.batch_size:
             logger.warning(msg)