TypingError Traceback (most recent call last) Cell In[18], [line 2](vscode-notebook-cell:?execution_count=18&line=2) [1](vscode-notebook-cell:?execution_count=18&line=1) for val in index_xarray: ----> [2](vscode-notebook-cell:?execution_count=18&line=2) print(val.max().compute().values.item()) File ~/anaconda3/envs/stac/lib/python3.12/site-packages/xarray/core/dataarray.py:1169, in DataArray.compute(self, **kwargs) [1150](https://file+.vscode-resource.vscode-cdn.net/Users/krishnaglodha/Desktop/trash/planetstac/sentin/~/anaconda3/envs/stac/lib/python3.12/site-packages/xarray/core/dataarray.py:1150) """Manually trigger loading of this array's data from disk or a [1151](https://file+.vscode-resource.vscode-cdn.net/Users/krishnaglodha/Desktop/trash/planetstac/sentin/~/anaconda3/envs/stac/lib/python3.12/site-packages/xarray/core/dataarray.py:1151) remote source into memory and return a new array. The original is [1152](https://file+.vscode-resource.vscode-cdn.net/Users/krishnaglodha/Desktop/trash/planetstac/sentin/~/anaconda3/envs/stac/lib/python3.12/site-packages/xarray/core/dataarray.py:1152) left unaltered. (...) [1166](https://file+.vscode-resource.vscode-cdn.net/Users/krishnaglodha/Desktop/trash/planetstac/sentin/~/anaconda3/envs/stac/lib/python3.12/site-packages/xarray/core/dataarray.py:1166) dask.compute [1167](https://file+.vscode-resource.vscode-cdn.net/Users/krishnaglodha/Desktop/trash/planetstac/sentin/~/anaconda3/envs/stac/lib/python3.12/site-packages/xarray/core/dataarray.py:1167) """ [1168](https://file+.vscode-resource.vscode-cdn.net/Users/krishnaglodha/Desktop/trash/planetstac/sentin/~/anaconda3/envs/stac/lib/python3.12/site-packages/xarray/core/dataarray.py:1168) new = self.copy(deep=False) -> [1169](https://file+.vscode-resource.vscode-cdn.net/Users/krishnaglodha/Desktop/trash/planetstac/sentin/~/anaconda3/envs/stac/lib/python3.12/site-packages/xarray/core/dataarray.py:1169) return new.load(**kwargs) File ~/anaconda3/envs/stac/lib/python3.12/site-packages/xarray/core/dataarray.py:1143, in DataArray.load(self, **kwargs) [1125](https://file+.vscode-resource.vscode-cdn.net/Users/krishnaglodha/Desktop/trash/planetstac/sentin/~/anaconda3/envs/stac/lib/python3.12/site-packages/xarray/core/dataarray.py:1125) def load(self, **kwargs) -> Self: [1126](https://file+.vscode-resource.vscode-cdn.net/Users/krishnaglodha/Desktop/trash/planetstac/sentin/~/anaconda3/envs/stac/lib/python3.12/site-packages/xarray/core/dataarray.py:1126) """Manually trigger loading of this array's data from disk or a [1127](https://file+.vscode-resource.vscode-cdn.net/Users/krishnaglodha/Desktop/trash/planetstac/sentin/~/anaconda3/envs/stac/lib/python3.12/site-packages/xarray/core/dataarray.py:1127) remote source into memory and return this array. [1128](https://file+.vscode-resource.vscode-cdn.net/Users/krishnaglodha/Desktop/trash/planetstac/sentin/~/anaconda3/envs/stac/lib/python3.12/site-packages/xarray/core/dataarray.py:1128) (...) [1141](https://file+.vscode-resource.vscode-cdn.net/Users/krishnaglodha/Desktop/trash/planetstac/sentin/~/anaconda3/envs/stac/lib/python3.12/site-packages/xarray/core/dataarray.py:1141) dask.compute [1142](https://file+.vscode-resource.vscode-cdn.net/Users/krishnaglodha/Desktop/trash/planetstac/sentin/~/anaconda3/envs/stac/lib/python3.12/site-packages/xarray/core/dataarray.py:1142) """ -> [1143](https://file+.vscode-resource.vscode-cdn.net/Users/krishnaglodha/Desktop/trash/planetstac/sentin/~/anaconda3/envs/stac/lib/python3.12/site-packages/xarray/core/dataarray.py:1143) ds = self._to_temp_dataset().load(**kwargs) [1144](https://file+.vscode-resource.vscode-cdn.net/Users/krishnaglodha/Desktop/trash/planetstac/sentin/~/anaconda3/envs/stac/lib/python3.12/site-packages/xarray/core/dataarray.py:1144) new = self._from_temp_dataset(ds) [1145](https://file+.vscode-resource.vscode-cdn.net/Users/krishnaglodha/Desktop/trash/planetstac/sentin/~/anaconda3/envs/stac/lib/python3.12/site-packages/xarray/core/dataarray.py:1145) self._variable = new._variable File ~/anaconda3/envs/stac/lib/python3.12/site-packages/xarray/core/dataset.py:845, in Dataset.load(self, **kwargs) [842](https://file+.vscode-resource.vscode-cdn.net/Users/krishnaglodha/Desktop/trash/planetstac/sentin/~/anaconda3/envs/stac/lib/python3.12/site-packages/xarray/core/dataset.py:842) chunkmanager = get_chunked_array_type(*lazy_data.values()) [844](https://file+.vscode-resource.vscode-cdn.net/Users/krishnaglodha/Desktop/trash/planetstac/sentin/~/anaconda3/envs/stac/lib/python3.12/site-packages/xarray/core/dataset.py:844) # evaluate all the chunked arrays simultaneously --> [845](https://file+.vscode-resource.vscode-cdn.net/Users/krishnaglodha/Desktop/trash/planetstac/sentin/~/anaconda3/envs/stac/lib/python3.12/site-packages/xarray/core/dataset.py:845) evaluated_data: tuple[np.ndarray[Any, Any], ...] = chunkmanager.compute( [846](https://file+.vscode-resource.vscode-cdn.net/Users/krishnaglodha/Desktop/trash/planetstac/sentin/~/anaconda3/envs/stac/lib/python3.12/site-packages/xarray/core/dataset.py:846) *lazy_data.values(), **kwargs [847](https://file+.vscode-resource.vscode-cdn.net/Users/krishnaglodha/Desktop/trash/planetstac/sentin/~/anaconda3/envs/stac/lib/python3.12/site-packages/xarray/core/dataset.py:847) ) [849](https://file+.vscode-resource.vscode-cdn.net/Users/krishnaglodha/Desktop/trash/planetstac/sentin/~/anaconda3/envs/stac/lib/python3.12/site-packages/xarray/core/dataset.py:849) for k, data in zip(lazy_data, evaluated_data): [850](https://file+.vscode-resource.vscode-cdn.net/Users/krishnaglodha/Desktop/trash/planetstac/sentin/~/anaconda3/envs/stac/lib/python3.12/site-packages/xarray/core/dataset.py:850) self.variables[k].data = data File ~/anaconda3/envs/stac/lib/python3.12/site-packages/xarray/namedarray/daskmanager.py:86, in DaskManager.compute(self, *data, **kwargs) [81](https://file+.vscode-resource.vscode-cdn.net/Users/krishnaglodha/Desktop/trash/planetstac/sentin/~/anaconda3/envs/stac/lib/python3.12/site-packages/xarray/namedarray/daskmanager.py:81) def compute( [82](https://file+.vscode-resource.vscode-cdn.net/Users/krishnaglodha/Desktop/trash/planetstac/sentin/~/anaconda3/envs/stac/lib/python3.12/site-packages/xarray/namedarray/daskmanager.py:82) self, *data: Any, **kwargs: Any [83](https://file+.vscode-resource.vscode-cdn.net/Users/krishnaglodha/Desktop/trash/planetstac/sentin/~/anaconda3/envs/stac/lib/python3.12/site-packages/xarray/namedarray/daskmanager.py:83) ) -> tuple[np.ndarray[Any, _DType_co], ...]: [84](https://file+.vscode-resource.vscode-cdn.net/Users/krishnaglodha/Desktop/trash/planetstac/sentin/~/anaconda3/envs/stac/lib/python3.12/site-packages/xarray/namedarray/daskmanager.py:84) from dask.array import compute ---> [86](https://file+.vscode-resource.vscode-cdn.net/Users/krishnaglodha/Desktop/trash/planetstac/sentin/~/anaconda3/envs/stac/lib/python3.12/site-packages/xarray/namedarray/daskmanager.py:86) return compute(*data, **kwargs) File ~/anaconda3/envs/stac/lib/python3.12/site-packages/dask/base.py:661, in compute(traverse, optimize_graph, scheduler, get, *args, **kwargs) [658](https://file+.vscode-resource.vscode-cdn.net/Users/krishnaglodha/Desktop/trash/planetstac/sentin/~/anaconda3/envs/stac/lib/python3.12/site-packages/dask/base.py:658) postcomputes.append(x.__dask_postcompute__()) [660](https://file+.vscode-resource.vscode-cdn.net/Users/krishnaglodha/Desktop/trash/planetstac/sentin/~/anaconda3/envs/stac/lib/python3.12/site-packages/dask/base.py:660) with shorten_traceback(): --> [661](https://file+.vscode-resource.vscode-cdn.net/Users/krishnaglodha/Desktop/trash/planetstac/sentin/~/anaconda3/envs/stac/lib/python3.12/site-packages/dask/base.py:661) results = schedule(dsk, keys, **kwargs) [663](https://file+.vscode-resource.vscode-cdn.net/Users/krishnaglodha/Desktop/trash/planetstac/sentin/~/anaconda3/envs/stac/lib/python3.12/site-packages/dask/base.py:663) return repack([f(r, *a) for r, (f, a) in zip(results, postcomputes)]) File ~/anaconda3/envs/stac/lib/python3.12/site-packages/numba/core/dispatcher.py:468, in _DispatcherBase._compile_for_args(self, *args, **kws) [464](https://file+.vscode-resource.vscode-cdn.net/Users/krishnaglodha/Desktop/trash/planetstac/sentin/~/anaconda3/envs/stac/lib/python3.12/site-packages/numba/core/dispatcher.py:464) msg = (f"{str(e).rstrip()} \n\nThis error may have been caused " [465](https://file+.vscode-resource.vscode-cdn.net/Users/krishnaglodha/Desktop/trash/planetstac/sentin/~/anaconda3/envs/stac/lib/python3.12/site-packages/numba/core/dispatcher.py:465) f"by the following argument(s):\n{args_str}\n") [466](https://file+.vscode-resource.vscode-cdn.net/Users/krishnaglodha/Desktop/trash/planetstac/sentin/~/anaconda3/envs/stac/lib/python3.12/site-packages/numba/core/dispatcher.py:466) e.patch_message(msg) --> [468](https://file+.vscode-resource.vscode-cdn.net/Users/krishnaglodha/Desktop/trash/planetstac/sentin/~/anaconda3/envs/stac/lib/python3.12/site-packages/numba/core/dispatcher.py:468) error_rewrite(e, 'typing') [469](https://file+.vscode-resource.vscode-cdn.net/Users/krishnaglodha/Desktop/trash/planetstac/sentin/~/anaconda3/envs/stac/lib/python3.12/site-packages/numba/core/dispatcher.py:469) except errors.UnsupportedError as e: [470](https://file+.vscode-resource.vscode-cdn.net/Users/krishnaglodha/Desktop/trash/planetstac/sentin/~/anaconda3/envs/stac/lib/python3.12/site-packages/numba/core/dispatcher.py:470) # Something unsupported is present in the user code, add help info [471](https://file+.vscode-resource.vscode-cdn.net/Users/krishnaglodha/Desktop/trash/planetstac/sentin/~/anaconda3/envs/stac/lib/python3.12/site-packages/numba/core/dispatcher.py:471) error_rewrite(e, 'unsupported_error') File ~/anaconda3/envs/stac/lib/python3.12/site-packages/numba/core/dispatcher.py:409, in _DispatcherBase._compile_for_args.<locals>.error_rewrite(e, issue_type) [407](https://file+.vscode-resource.vscode-cdn.net/Users/krishnaglodha/Desktop/trash/planetstac/sentin/~/anaconda3/envs/stac/lib/python3.12/site-packages/numba/core/dispatcher.py:407) raise e [408](https://file+.vscode-resource.vscode-cdn.net/Users/krishnaglodha/Desktop/trash/planetstac/sentin/~/anaconda3/envs/stac/lib/python3.12/site-packages/numba/core/dispatcher.py:408) else: --> [409](https://file+.vscode-resource.vscode-cdn.net/Users/krishnaglodha/Desktop/trash/planetstac/sentin/~/anaconda3/envs/stac/lib/python3.12/site-packages/numba/core/dispatcher.py:409) raise e.with_traceback(None) TypingError: Failed in nopython mode pipeline (step: nopython frontend) ('wrong tuple length for $130load_attr.11: ', 'expected 2, got 3') During: typing of exhaust iter at /Users/krishnaglodha/anaconda3/envs/stac/lib/python3.12/site-packages/xrspatial/multispectral.py (772) File "../../../../anaconda3/envs/stac/lib/python3.12/site-packages/xrspatial/multispectral.py", line 772: def _normalized_ratio_cpu(arr1, arr2): <source elided> out = np.full(arr1.shape, np.nan, dtype=np.float32) rows, cols = arr1.shape ^ 

catalog = pystac_client.Client.open('https://earth-search.aws.element84.com/v1') time_range = f"{start_date}/{end_date}" collection = "sentinel-2-l2a" geometry = polygon["features"][0]["geometry"] search = catalog.search( collections=[collection], intersects=geometry, datetime=time_range ) print(search.get_all_items()) data = load( search.items(), geopolygon=geometry, chunks={}, resolution=1, projection="epsg:3857", ) dc = data.rio.clip([geometry], crs="epsg:4326") index_xarray = ms.ndvi(dc.nir, dc.red) for val in index_xarray: print(val.max().compute().values.item())