vladimirtsyupko

git fetch --all
git reset --hard origin/master
git pull origin master

anildigital

docker rmi $(docker images -q -f dangling=true)

beeftornado

server {
	listen   80; ## listen for ipv4; this line is default and implied
	listen   [::]:80 default ipv6only=on; ## listen for ipv6

	root /usr/share/nginx/www;
	index index.php index.html index.htm;

	# Make site accessible from http://localhost/
	server_name _;

theskumar

# -*- coding: utf-8 -*-
''' Generates database schema graph from a relational database.
Usages:
Add database configuation in this file and then
python app.py

Note: You must have your latest database schema in the database
engine you are running against.
'''
from __future__ import unicode_literals, absolute_import

u0d7i

Disable vim automatic visual mode on mouse select

issue: :set mouse-=a
add to ~/.vimrc: set mouse-=a

my ~/.vimrc for preserving global defaults and only changing one option:

source $VIMRUNTIME/defaults.vim
set mouse-=a

andyshinn

FROM gliderlabs/alpine:3.3
COPY myawesomescript /bin/myawesomescript
COPY root /var/spool/cron/crontabs/root
RUN chmod +x /bin/myawesomescript
CMD crond -l 2 -f

oglops

#!/usr/bin/env python
try:
        # for python newer than 2.7
    from collections import OrderedDict
except ImportError:
        # use backport from pypi
    from ordereddict import OrderedDict

import yaml

jordanorelli

#!/usr/bin/env ruby

# diffs the contents of yaml files semantically. that is, ydiff will parse each
# yaml file and then diff their resulting trees, instead of attempting to diff
# the text. it's specifically for comparing directories of translations from
# Crowdin, so it's effectively only concerned with strings.

require 'pathname'
require 'rubygems'
require 'yaml'

Seanny123

from keras.models import Sequential
from keras.layers import LSTM, Dense
import numpy as np


def gen_sig(num_samples, seq_len):
    one_indices = np.random.choice(a=num_samples, size=num_samples // 2, replace=False)

    x_val = np.zeros((num_samples, seq_len), dtype=np.bool)
    x_val[one_indices, 0] = 1

tammoippen

import numpy as np

def crappyhist(a, bins=50, width=140):
    h, b = np.histogram(a, bins)

    for i in range (0, bins):
        print('{:12.5f}  | {:{width}s} {}'.format(
            b[i], 
            '#'*int(width*h[i]/np.amax(h)), 
            h[i],