Francis Gassert

Noting here since I had the issue in a Jupyter notebook and it took me a while to figure out. Since ffmpeg is run in a subprocess, stderr and stdout...

Would be nice to have provisioned IOPS flag. Not many other options for disk-constrained processes, other than spinning up machine yourself and manually setting it up.

There's some discussion of this in #928. I've written a couple custom datasets for this use case and for parallel processing of partitions, attached here in case they're helpful. https://gist.github.com/fgassert/c6c9a87c47d2eaffd30d3f72b0ff675a

Try the third RobustPartitionedDataset? It's patterned off of the builtin incremental dataset to address some edge cases. You can set it up like a regular PartitionedDataset, with the additional parameter...

Thanks, for sure. On why you might have written this. I see in the documentation for rioxarray, that `xr.Dataset.rio.to_raster()` only supports 2d arrays. Whereas `xr.DataArray.rio.to_raster()` doesn't have that restriction. The...

Hi, I've also run into this issue. I think this should correctly test if the fill_value will fit into the dtype in both numpy 1.x and 2.x. ```python np.can_cast(np.min_scaler_type(fill_value), dtype)...

Hi Folks, Glad to see this moving forward 🙇 ! Just a comment that might inform the implementation of this. If you end up changing the harvesting client behavior to...