Zoybean

#![feature(cell_update)]

#[cfg(test)]
mod test {
    use crate::*;
    use std::cell::Cell;

    #[test]
    fn test() {
        test_counter::<0>();

iddan

# Sync Pipfile with setup.py dependencies
# Assumptions:
# - You are running in a directory with Pipfile, Pipfile.lock & setup.py
# - Your setup.py calls a function named setup()
# - setup() is called with keyword arguments of install_requires and dependency_links (can be empty lists)
# - All your remote dependencies are HTTPS git

import pipfile
import ast
import json

k3zi

Table of Contents

Accent Types　アクセントの種類｜Numbers 数字｜Counters　数え方｜Suffixes｜Verbs 動詞｜Adjectives 形容詞｜Prefixes｜〜もの｜Special Common Exceptions｜Regions, Cities & Places｜Names｜Trends

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fasiha

Overview Nayr's Japanese Core5000 Anki deck (discussion) contains pronunciations of all five thousand or so sentences in A Frequency Dictionary of Japanese by Yukio Tono, Makoto Yamazaki, and Kikuo Maekawa (2013), which contains the top five thousand words in Japanese according to the latest corpus research. I analyzed these sentences to make a histogram table of hiragana occurrences, including dipthongs like きゃ, ちょ, etc. The attached two tables show the results in modern hiragana order, and sorted order.

Technical notes I parsed a file containing those sentences (with annotated readings in hiragana, in core5k-sentences.md) using the following script and helper file (in kana.txt):

cp core5k-sentences.md sacrifice.md; 
sed '/^$/d' kana.txt | while read i; do 
  echo -n $i " : " ;
  sed -n "s/$i/$i\n/gp" 

Arachnid

import bisect

class NFA(object):
  EPSILON = object()
  ANY = object()
  
  def __init__(self, start_state):
    self.transitions = {}
    self.final_states = set()
    self._start_state = start_state