Werkov

#!/bin/bash
wrk=$(mktemp)
CGROOT=/sys/fs/cgroup
SUBGROUP=subgroup
IFS=:

cp /proc/self/cgroup $wrk

while read id ctrl path ; do
	[ "$path" = "/" ] && continue

Werkov

Public source:
https://raw.githubusercontent.com/Werkov/Werkov.github.io/874101fed2664468ef3b02c2486c1dc7069d5799/_posts/2019-01-09-predictions.md

Checksums:
8bc09fc868f1cc54253e865a092d15a59af0a6aa  _posts/2019-01-09-predictions.md
3db759e1ec1f1a81a27889080eb7992b  _posts/2019-01-09-predictions.md

Werkov

Public source:
https://raw.githubusercontent.com/Werkov/Werkov.github.io/72c52850c39a102499a048e59772a4d9147ba796/_posts/2018-01-13-predictions.md

Checksums:
a9f7d7e5ddf4def05310db2196185b67dda283f2  _posts/2018-01-13-predictions.md
e166a2a36a399a000fda91c7e71df1a8  _posts/2018-01-13-predictions.md

Werkov

#!/usr/bin/python3

# Estimates time spent on a project from commit timestamps
#
# If two commits are less than INERTIA time apart, the time
# between them is considered spent, otherwise SINGLE_COMMIT
# time is taken.

import os

Werkov

#!/usr/bin/python3

from collections import defaultdict
from math import log

def entropy(n, sequence):
    """
    Estimates entropy of random sequence of elements
    based on ngram distribution.

Werkov

#!/usr/bin/python3

_cache = {}
def sums(addends, sum):
    """Return list of tuples of @addends addends that sums up to @sum."""
    global _cache
    if addends < 1 or sum < addends:
        return []
    if (addends, sum) not in _cache:
        result = [] if addends > 1 else [(sum,)]

Werkov

#!/usr/bin/env python3

#
# WEASEL
# Inspired by Richard Dawkins.
#

from random import random, choice

genoverse = 'ABCDEFGHIJKLKMNOPQRSTUVWXYZ '

Werkov

def play(desk, who):
        bestResult = -2 
        for row in range(0, 3):
                for col in range(0, 3):
                        if desk[row][col] != 0:
                                continue
                        desk[row][col] = who                    
                        if testLoser(desk, row, col, who):
                                bestResult = max(bestResult, -1)
                        else: