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I have source (src) image(s) I wish to align to a destination (dst) image using an Affine Transformation whilst retaining the full extent of both images during alignment (even the non-overlapping areas).

I am already able to calculate the Affine Transformation rotation and offset matrix, which I feed to scipy.ndimage.interpolate.affine_transform to recover the dst-aligned src image.

The problem is that, when the images are not fuly overlapping, the resultant image is cropped to only the common footprint of the two images. What I need is the full extent of both images, placed on the same pixel coordinate system. This question is almost a duplicate of this one - and the excellent answer and repository there provides this functionality for OpenCV transformations. I unfortunately need this for scipy's implementation.

Much too late, after repeatedly hitting a brick wall trying to translate the above question's answer to scipy, I came across this issue and subsequently followed to this question. The latter question did give some insight into the wonderful world of scipy's affine transformation, but I have as yet been unable to crack my particular needs.

The transformations from src to dst can have translations and rotation. I can get translations only working (an example is shown below) and I can get rotations only working (largely hacking around the below and taking inspiration from the use of the reshape argument in scipy.ndimage.interpolation.rotate). However, I am getting thoroughly lost combining the two. I have tried to calculate what should be the correct offset (see this question's answers again), but I can't get it working in all scenarios.

Translation-only working example of padded affine transformation, which follows largely this repo, explained in this answer:

I'm currently using isort --profile=black --line-length=79 as a linter in my project for python files.

This produces the Vertical Hanging Indent (mode 3 in isort's documentation kind of output:

I have a little library where I can define integer types. These are intended for type-safe indexing into arrays and strings in the kind of algorithms I often write. For example, I can use it to define an offset type, Offset and an index type, Idx such that you can get an Offset by subtracting two Idx, you can get Idx by adding or subtracting Offset, but you cannot for example multiple or add Idx.

I am not a coder by trade, but am working on hacking together an image carousel for our website. I've gotten everything to work except for this last weird problem I am having with spacing. In the attached image, you'll see there is too much spacing between the screenshot and the next-image button to the right of it.

Here is the code (apologies in advance, it is truly terrible):

I think the question is quite obvious. The I have tried so far:

I want to change the background color of a SpTextInputFieldPresenter

e.g. to provide a visual feedback of the input, I want to react to whenTextChangedDo: and change the background color of the field to show if the input is correct or wrong. I know this is not the best for everybody, but I still want to try it.
How can I do without hacking?

Let's say I have the following Spark frame:

I have a playbook that performs some tasks on a GKE cluster. It works, but every now and again, the cluster will go into a "RECONCILING" state (we don't know why yet).

I want to add a task to wait for the cluster state to be in "RUNNING" before proceeding with the other tasks, in order to avoid tasks failing

This works:

Consider the following stream: