Casey Schneider-Mizell

That code was just added (partially to deal with a case like this) a day or two ago and is not in use in the world outside a few of...

For example, you could make a new parsing system that lets you specify secrets explicitly based on prefix, e.g.: ```python cloudvolume.Cloudvolume(..., secrets={'graphene': cave_token, 'gs': google_secret}) ``` that would resolve the...

While the default visualization in neuroglancer is at a [4,4,40] nm/voxel resolution, the actual MIP-0 image data is in [8,8,40] nm/voxel, so you need to adjust your bounding box accordingly....

I think that at the moment you have to either look at the docstring or the code itself: https://github.com/seung-lab/cloud-volume/blob/731a646210a768a54320b8b0b8202704eb789d59/cloudvolume/frontends/precomputed.py#L647

I tend to find that the easiest way to work with bounding boxes is the cloudvolume Bbox class. In this case, for example, what I would have done is: ```python...

Scanning the examples for tifffile, it looks like it inherits the bit size from the dtype of the numpy array. Try setting the dtype of the downloaded array to an...

Oh, I see, you're downloading the segmentation. This looks correct for that. Segmentation data has the 64-bit object id in each voxel of the downloaded array. If you want to...

This is a bit of a bug — at the moment the MeshMeta object requires a cloud volume path even if the files are to be loaded locally, because it...

Looks good to me. The new skeleton creation is a good approach since it makes adding features like updating the mesh map, etc, purely additive.

One caveat: it looks to me like it will break if the skeleton is masked such that the root is not in the mask (this is allowed because I have...