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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've been putting together my own disassembler for Sega Mega Drive ROMs, basing my initial work on the MOTOROLA M68000 FAMILY Programmer’s Reference Manual. Having disassembled a considerable chunk of the ROM, I've attempted to reassemble this disassembled output, using VASM as it can accept the Motorola assembly syntax, using its mot syntax module.

Now, for the vast majority of the reassembly, this has worked well, however there is one wrinkle with operations that have effective addresses defined by the "Program Counter Indirect with Index (8-Bit Displacement) Mode". Given that I'm only now learning Motorola 68000 assembly, I wanted to confirm my understanding and to ask: what is the proper syntax for these operations?

For example, if I have two words:

I'm experimenting with Hunspell and how to interact with it using Java Project Panama (Build 19-panama+1-13 (2022/1/18)). I was able to get some initial testing done, as in creating a handle to Hunspell and subsequently using that to perform a spell check. I'm now trying something more elaborate, letting Hunspell give me suggestions for a word not present in the dictionary. This is the code that I have for that now:

I was somewhat surprised to observe that the following code

After migrating from Remark to MDX, my builds on Netlify are failing.

I get this error when trying to build:

Consider code:

• Save a program that writes data to disk from vain attempts of writing to a full filesystem;
• Save bandwidth (don't download if nowhere to store);
• Save user's and programmer's time and nerves (notify them of the problem instead of having them tearing out their hair with reading misleading error messages and "why the heck this software is not working!").

1. Reporting storage space statistics (available, used, total etc.), either of all filesystems or of the filesystem that path in question belongs to.
2. Reporting a filesystem error on running out of space.

Share please NATIVE Raku alternative(s) (TIMTOWTDIBSCINABTE "Tim Toady Bicarbonate") to:

how to find the difference between two last versions of a Delta Table ? Here is as far as I went using dataframes :