sciyoshi

import numpy as np
from scipy.ndimage import convolve

lines = INPUT.splitlines()
alg = [i for i, c in enumerate(lines[0]) if c == "#"]
img = np.pad(np.array([[int(c == "#") for c in l] for l in lines[2:]]), ((50, 50), (50, 50)))
rot = np.array([[1, 2, 4], [8, 16, 32], [64, 128, 256]])

for i in range(50):
    img = np.isin(convolve(img, rot, mode="constant", cval=i % 2), alg).astype(int)

sciyoshi

BEGIN MESSAGE.
65hLapBEOn4NOxF egwcqIO20ortY0d na6S7EY81Qh8tCs QSLVmAVHIqqn3ad
h29hB5xx5GvRGgE aVFTWvLjWLkTCKq 6Xr2MZHgg6SdpCJ TM9zHVJotbsq3wI
lAtXO8mikSV1xga sUzGicn8NsMBiUU nTW4dABMOWXRxE1 nbIuenrRNb9lyhP
vCe0UMMbuselAJl g3V2jeGTpVJPxt6 UtPtN0Qz5Z.
END MESSAGE.

sciyoshi

# /// script
# dependencies = [
#   "mcp",
#   "httpx",
#   "dotenv",
# ]
# ///

import os
from typing import Any

sciyoshi

#!/usr/bin/env python3
"""
patchclean.py - Process a patch file to handle blank line removals.

This script reads a patch file from stdin, processes it to convert blank line
removals (single "-" lines) to context lines (" "), and updates line numbers
in hunk headers accordingly. It also removes hunks that no longer have changes
and files that no longer have any modification hunks.

Special handling is added for deleted files to preserve their patch structure.