Help for running example code meet error！

[PlanetesDDH]

cube = emc.load_minicube(specs, compute = True)

Output:

{
"name": "ValueError",
"message": "rescale=True, but safe casting cannot be completed between asset scale value 1 and output dtype float32.
To continue using dtype='float32', pass rescale=False to retrieve data in its raw, unscaled values. Or, if you want rescaled values, pass a different dtype= (typically float).",
"stack": "---------------------------------------------------------------------------
ValueError Traceback (most recent call last)
Cell In[4], line 1
----> 1 cube = emc.load_minicube(specs, compute = True)

File c:\MySoftwares\Anaconda3\envs\cube\Lib\site-packages\earthnet_minicuber\minicuber.py:192, in Minicuber.load_minicube(cls, specs, verbose, compute)
189 if verbose:
190 print(f"Loading {provider.class.name} for {time_interval}")
--> 192 product_cube = provider.load_data(self.padded_bbox, time_interval, full_time_interval = self.full_time_interval)
194 if product_cube is not None:
195 if cube is None:

File c:\MySoftwares\Anaconda3\envs\cube\Lib\site-packages\earthnet_minicuber\provider\s2\sentinel2.py:152, in Sentinel2.load_data(self, bbox, time_interval, **kwargs)
148 metadata = items_s2.to_dict()['features'][0]["properties"]
149 epsg = metadata["proj:epsg"]
--> 152 stack = stackstac.stack(items_s2, epsg = epsg, assets = self.bands, dtype = "float32", properties = ["sentinel:product_id"], band_coords = False, bounds_latlon = bbox, xy_coords = 'center', chunksize = 2048,errors_as_nodata=(RasterioIOError('.*'), ), gdal_env=gdal_session)
155 if self.aws_bucket != "planetary_computer":
156 stack = stack.rename({"id": "id_old"}).rename({"sentinel:product_id": "id"})

File c:\MySoftwares\Anaconda3\envs\cube\Lib\site-packages\stackstac\stack.py:290, in stack(items, assets, epsg, resolution, bounds, bounds_latlon, snap_bounds, resampling, chunksize, dtype, fill_value, rescale, sortby_date, xy_coords, properties, band_coords, gdal_env, errors_as_nodata, reader)
283 if sortby_date is not False:
284 plain_items = sorted(
285 plain_items,
286 key=lambda item: item["properties"].get("datetime", "") or "",
287 reverse=sortby_date == "desc",
288 )
--> 290 asset_table, spec, asset_ids, plain_items = prepare_items(
291 plain_items,
292 assets=assets,
293 epsg=epsg,
294 resolution=resolution,
295 bounds=bounds,
296 bounds_latlon=bounds_latlon,
297 snap_bounds=snap_bounds,
298 rescale=rescale,
299 dtype=dtype,
300 )
301 arr = items_to_dask(
302 asset_table,
303 spec,
(...)
311 errors_as_nodata=errors_as_nodata,
312 )
314 return xr.DataArray(
315 arr,
316 *to_coords(
(...)
325 name="stackstac-" + dask.base.tokenize(arr),
326 )

File c:\MySoftwares\Anaconda3\envs\cube\Lib\site-packages\stackstac\prepare.py:168, in prepare_items(items, assets, epsg, resolution, bounds, bounds_latlon, snap_bounds, rescale, dtype)
166 if rescale:
167 if not np.can_cast(type(asset_scale), dtype):
--> 168 raise ValueError(
169 f"rescale=True, but safe casting cannot be completed between "
170 f"asset scale value {asset_scale} and output dtype {dtype}.
"
171 f"To continue using {dtype=}, pass rescale=False to retrieve "
172 "data in its raw, unscaled values. Or, if you want rescaled "
173 "values, pass a different dtype= (typically float)."
174 )
176 if not np.can_cast(type(asset_offset), dtype):
177 raise ValueError(
178 f"rescale=True, but safe casting cannot be completed between "
179 f"asset offset value {asset_offset} and output dtype {dtype}.
"
(...)
182 "values, pass a different dtype= (typically float)."
183 )

ValueError: rescale=True, but safe casting cannot be completed between asset scale value 1 and output dtype float32.
To continue using dtype='float32', pass rescale=False to retrieve data in its raw, unscaled values. Or, if you want rescaled values, pass a different dtype= (typically float)."
}