This issue provides visibility into Renovate updates and their statuses. Learn more

This repository currently has no open or pending branches.

• Check this box to trigger a request for Renovate to run again on this repository

As seen in 2018 Day 10.

This should be pretty simple as you just need to copy the 6-tall conversion function, add the letters, change a couple of values, and add some tests.

It would be lovely if it could be run as a module accepting standard input, so I could do day10.py < day10.txt | python -m advent_of_code_ocr.

As mentioned in Reddit comment

Creating issue to add to milestone status

There is an error with this repository's Renovate configuration that needs to be fixed. As a precaution, Renovate will stop PRs until it is resolved.

Error type: undefined. Note: this is a nested preset so please contact the preset author if you are unable to fix it yourself.

I think it would be nice to use advent_of_code_ocr directly from numpy.

I had set as goal to stay as much as possible with numpy.ndarrays and to use advent_of_code_ocr as it is now, i would need to convert to string, just so that it would internally convert back to numpy.ndarray.

I already broke up the API in my fork https://github.com/pseyfert/advent-of-code-ocr/commits/numpy if you're interested i can open an MR (i made a few unrelated implementation changes which we maybe want to remove from my branch before merging.)

Hi @bsoyka

Thanks for making this! It worked perfectly also for Day 13, 2021 👍
I had some issues with installing the library since NumPy has been pinned to a version that's not compatible with Python 3.10 in the version available on PyPI.

I looked at the code and noticed that it doesn't rely significantly on NumPy so that it's possible to make it work quite effectively only using the standard library. For instance, by doing something like:

    input_text = input_text.replace(fill_pixel, "#").replace(empty_pixel, ".")
    array = input_text.split("\n")

    rows, cols = len(array), len(array[0])
    if any(len(row) != cols for row in array):
        raise ValueError("all rows should have the same number of columns")
    if rows != 6:
        raise ValueError("incorrect number of rows (expected 6)")

    indices = [slice(start, start + 4) for start in range(0, cols, 5)]
    result = [
        ALPHABET_6["\n".join(row[index] for row in array)] for index in indices
    ]

    return "".join(result)

Would you be interested in me adding a PR that removes NumPy as a dependency, making the library easier to use?

Best,
Geir Arne