When running DP02_13a_Image_Cutout_SciDemo.ipynb on the LSST cloud, no results are returned in cell 12 and an error is produced in cell 14 due to this:
IndexError Traceback (most recent call last)
Cell In[14], line 1
----> 1 tract = results['lsst_tract'][0]
2 patch = results['lsst_patch'][0]
4 dataId = {'band': 'i', 'tract': tract,
5 'patch': patch}
File /opt/lsst/software/stack/conda/envs/lsst-scipipe-10.0.0/lib/python3.12/site-packages/numpy/ma/core.py:3304, in MaskedArray.__getitem__(self, indx)
3294 """
3295 x.__getitem__(y) <==> x[y]
3296
3297 Return the item described by i, as a masked array.
3298
3299 """
3300 # We could directly use ndarray.__getitem__ on self.
3301 # But then we would have to modify __array_finalize__ to prevent the
3302 # mask of being reshaped if it hasn't been set up properly yet
3303 # So it's easier to stick to the current version
-> 3304 dout = self.data[indx]
3305 _mask = self._mask
3307 def _is_scalar(m):
IndexError: index 0 is out of bounds for axis 0 with size 0```
It was initially thought this was caused by DP0.2 image services being offline, but now the banner at https://data.lsst.cloud/ has gone and the issue persists.