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from datetime import datetime | |
import glob | |
from collections import defaultdict | |
import xlrd | |
LEAST_CONT_DAYS = 7 |
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# Inspired by https://gist.githubusercontent.com/leftstick/29e4099a61d2c0182e1fda196eb9e071/raw/4270cf778d70202bfc5d76fdee7e87c628b198e5/commit-msg | |
#!/usr/bin/env bash | |
echo " | |
#!/usr/bin/env bash | |
# regex to validate in commit msg | |
commit_regex='([A-Z]{1,7}-[0-9]{1,7}: .{1,100}(\\\nReviewed by: [a-zA-Z0-9\\.]{1,25})?|(fix|docs|feat|style|refactor|perf|test|chore): .{1,100})' | |
if ! grep -iqE \"\$commit_regex\" \"\$1\"; then | |
echo '\\\033[31m Commit comment format not correct!' |
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#! /usr/bin/env python | |
# -*- coding: utf-8 | |
""" | |
@description: Generate network topological graph by pygraphviz_1.3rc. | |
@created_at: Mon Aug 24 16:21:10 2015 | |
@author: Laisky | |
@copyright: 2015/Laisky | |
@license: MIT/Apache |
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""" | |
@description: Sortable chain with key, just like sorted. | |
@author: Laisky | |
@copyright: 2015/Laisky | |
@license: MIT/Apache | |
""" | |
from collections import namedtuple | |
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# Some useful commands to use docker. | |
# Author: yeasy@github | |
# Created:2014-09-25 | |
alias docker-pid="sudo docker inspect --format '{{.State.Pid}}'" | |
alias docker-ip="sudo docker inspect --format '{{ .NetworkSettings.IPAddress }}'" | |
#the implementation refs from https://github.com/jpetazzo/nsenter/blob/master/docker-enter | |
function docker-enter() { | |
if [ -e $(dirname "$0")/nsenter ]; then |
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import datetime | |
from pprint import pprint | |
from collections import defaultdict | |
import numpy as np | |
import pandas as pd | |
def apriori(dataset, min_support=0.5, min_hconf=0.5, verbose=False): | |
"""Implements the Apriori algorithm. |
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import queue | |
import random | |
import time | |
from datetime import datetime | |
from itertools import product | |
import concurrent.futures | |
import pandas as pd | |
from pipe import as_list |
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import os | |
import re | |
import codecs | |
import concurrent.futures | |
import multiprocessing | |
import pandas as pd | |
def worker(task_q): |
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#!/usr/bin/env python | |
# -*- coding: utf-8 -*- | |
import logging | |
import pymongo | |
NEW_HASH = '0f533b43e264260e17fed6a15e05ffd6c3f8e3b1' | |
HASH_TEXT = 'duanwei-儿童' | |
OLD_HASH_LS = ['efacd9afc28bed0712c4e904585f10a277fbfc7d', | |
'59f420d90a824716eb07df9b698aa2ecedf3f0dc', |