kashifulhaque

If you do not have yay installed, then follow these steps to install it first

Update

yay

Install

yay -S docker docker-compose

RoshanTanisha

import numpy as np
import os, sys, math
import matplotlib.pyplot as plt
import cv2
import copy


def convert_image_to_BW(image):
    bw_img = cv2.cvtColor(image, cv2.COLOR_BGR2GRAY)
    return cv2.cvtColor(bw_img, cv2.COLOR_GRAY2BGR)

canhtran

apiVersion: apps/v1
kind: Deployment
metadata:
  name: iris-app
  labels:
    app: iris-app
    tier: backend
    version: v1
spec:
  selector:

tgardiner

#!/usr/bin/env python3.6
import os
import sys
from hashlib import md5
from argparse import ArgumentParser

parser = ArgumentParser(description='Compare an S3 etag to a local file')
parser.add_argument('inputfile', help='The local file')
parser.add_argument('etag', help='The etag from s3')
args = parser.parse_args()

chipolux

# A simple example of using a QTimer to create a debounce on a line edit.
#   For things like search fields, etc.

from PyQt5.QtCore import QTimer
from PyQt5.QtWidgets import QWidget, QLineEdit, QApplication, QVBoxLayout


class Widget(QWidget):
    def __init__(self, parent=None):
        super().__init__(parent)

matthbull

#!/bin/sh
# Author: Matt Holbrook-Bull
# Description: Tar and upload files to an AWS S3 bucket.  Also backs up apache sites-available config files (take this out if you dont need it)
# Setup: you need to install the AWS CLI - http://docs.aws.amazon.com/cli/latest/userguide/cli-chap-getting-set-up.html
# To run this automatically setup a root crontab job
# Will remove backups over 5 days old. Edit line 31/32 to adjust this retention period.

# alter these prefs to specify your S3 bucket location, local storage path on your server, and the source path of your required backups
DATE=`date +%d%m%y%H%M`
S3PATH=XXXXXX

boniattirodrigo

import unicodedata
import re

"""
A remoção de acentos foi baseada em uma resposta no Stack Overflow.
http://stackoverflow.com/a/517974/3464573
"""

def removerAcentosECaracteresEspeciais(palavra):

nylki

do androids dream of cooking?

The following recipes are sampled from a trained neural net. You can find the repo to train your own neural net here: https://github.com/karpathy/char-rnn Thanks to Andrej Karpathy for the great code! It's really easy to setup.

The recipes I used for training the char-rnn are from a recipe collection called ffts.com And here is the actual zipped data (uncompressed ~35 MB) I used for training. The ZIP is also archived @ archive.org in case the original links becomes invalid in the future.

Fire-

# Basic Dante Socks5 Setup, Debian

apt-get update
apt-get install make gcc

cd /usr/src

# get newest from http://www.inet.no/dante/download.html

wget http://www.inet.no/dante/files/dante-1.4.1.tar.gz

philfreo

import mimerender

mimerender.register_mime('pdf', ('application/pdf',))
mimerender = mimerender.FlaskMimeRender(global_charset='UTF-8')

def render_pdf(html):
    from xhtml2pdf import pisa
    from cStringIO import StringIO
    pdf = StringIO()
    pisa.CreatePDF(StringIO(html.encode('utf-8')), pdf)