zahlman

/* converter.c
 *
 * This code converts `.md` files into `.html` files.
 *
 * The main use is to write a static website in `.md` files, and then run this
 * program to convert it to `.html`
 *
 * The program relies on the following variables:
 *
 * - INPUT_FOLDER: full path of the website with `.md` files.

zahlman

#!/usr/bin/env python

import itertools, operator, random, timeit

GROUPS = 16384
ELEMENTS = 1048576
ESTIMATE = ELEMENTS // GROUPS
ITERS = 10

class Value:

zahlman

import dis


def filter_code(func, replacement):
    name = func.__name__
    code = func.__code__.co_code
    begin, do_fix = None, None
    for i in dis.get_instructions(func):
         if begin is not None: # every time except the first
             end = i.offset

zahlman

import os, shutil
from pathlib import Path
import pytest

@pytest.fixture(scope='session', autouse=True)
def session(tmp_path_factory):
    try:
        yield
    finally:
        shutil.rmtree(str(tmp_path_factory.getbasetemp()))

zahlman

def group_adjacent(things, predicate, distance):
    """Make groups of things that are within distance of each other when the predicate is applied."""
    result = []
    for thing in things:
        if result and abs(predicate(thing) - predicate(result[-1])) > distance:
            yield result
            result = []
        result.append(thing)
    if result:
        yield result

zahlman

from itertools import product
from random import choice


collisions = {
    'b': 'pv', 'c': 'js', 'd': 't' , 'f': 'pv',
    'g': 'kx', 'j': 'cz', 'k': 'gx', 'l': 'r',
    'm': 'n' , 'n': 'm' , 'p': 'bf', 'r': 'l',
    's': 'cz', 't': 'd' , 'v': 'bf', 'x': 'gk',
    'z': 'js'

zahlman

from itertools import combinations, product
from operator import mul, div, add, sub

def intersperse(values, operations):
  result = values[0]
  for v, o in zip(values[1:], operations): result = o(result, v)
  return result

def results(*values):
  count = len(values)

zahlman

from collections import Counter
from sys import argv

letters = Counter(argv[2:])
letter_count = len(argv) - 2
with file(argv[1]) as f: words = [word.strip() for word in f] # one word per line
longest = max(len(word) for word in words)

for i in reversed(xrange(min(longest, letter_count) + 1)):
	possible_words = [