ciscorn

digraph joetsu_merge {
    graph [rankdir = LR];

    "下ノ郷村" -> "金谷村";
    "北大崎村" -> "金谷村";
    "金谷村" -> "高田市\n(1954)";
    "新道村" -> "高田市\n(1954)";

    "高田町" -> "高田町\n(1908)";
    "高城村" -> "高田町\n(1908)";

ciscorn

import sys
import mmap

# usage:
# $ python3 rewrite_rp.py 1.dat 001

with open(sys.argv[1], 'rb+') as f:
    with mmap.mmap(f.fileno(), 0, access=mmap.ACCESS_WRITE) as m:
        (curr_rp, new_rp) = (m[1], int(sys.argv[2]))
        print("{0:03d} -> {1:03d}".format(curr_rp, new_rp))

ciscorn

#!/bin/env bash

pip3 uninstall pillow

apt install \
    libjpeg-turbo8-dev \
    zlib1g-dev \
    libtiff5-dev \
    liblcms2-dev \
    libfreetype6-dev \

ciscorn

import sys
from zipfile import ZipFile
import lxml.etree as et

for path in sys.argv[1:]:
    zf = ZipFile(path, mode='a')

    with zf.open('OEBPS/content.opf', mode='r') as f:
        doc = et.parse(f)

ciscorn

from mpl_toolkits.mplot3d import Axes3D
from matplotlib.pylab import plt
from matplotlib import animation, cm
import numpy as np
from scipy.signal import convolve, convolve2d


class Wave1D:
    K = np.array([1, -2, 1])

ciscorn

from collections import Counter
import re

import huffman


class TextSplitter:
    def __init__(self, words):
        words.sort(key=lambda x: len(x), reverse=True)
        self.words = set(words)

ciscorn

package main

import (
	"fmt"
)

type Fetcher interface {
	Fetch(url string) (body string, urls []string, err error)
}

ciscorn

Normalizing Unicode strings in Python / Go / Rust

NFC, NFD, NFKC, NFKD

input:

ｉｔ’ｓäå（１−2)ドﾌﾞﾛク㍿

result:

ciscorn

import boto3
from datetime import datetime, timedelta
import zoneinfo
import pandas

from matplotlib.dates import DateFormatter
import matplotlib.pyplot as plt

JST = zoneinfo.ZoneInfo("Asia/Tokyo")

ciscorn

import math
import numpy as np
from matplotlib import pyplot as plt


def webMercatorToLngLat(mx: float, my: float) -> tuple[float, float]:
    lng = (mx * 2 - 1) * 180.0
    lat = (my * 2 - 1) * 180.0
    lat = (
        -180