mevangelista-alvarado

# Variables
test = u'Hola a todo el mundo' # Enter a phrase
lenght = 10 # Enter a number

test_list = test.split()
i = len(test_list)

while i<=len(test_list):
    phrase = " ".join(list[0:i])
    if len(phrase)<lenght:

mevangelista-alvarado

import rsa
import base64
import binascii

def load_puk(name_file):
  name_file = name_file + '.pem'
  with open(name_file, 'rb') as file:
    PublicKey = file.read()
    puk = rsa.PublicKey.load_pkcs1_openssl_pem(PublicKey)
  return puk

mevangelista-alvarado

Virtual Environment

Create

To start, first create a directory

    mkdir directory_name

mevangelista-alvarado

import sys
import ga
import sympy
#import ast


class PoissonGeometry(object):

    def __init__(self, *args, **kwargs):
        '''Inicialize global variables'''

mevangelista-alvarado

from Crypto.PublicKey import RSA  # nosec B413
from Crypto.Hash import SHA256  # nosec B413

# Read FIEL.cer
def read_fiel_cer(directory_file):
    try:
        public_key = None
        with open(directory_file + '.cer', 'rb') as f:
            public_key = RSA.import_key(f.read())
    except Exception as e:

mevangelista-alvarado

{
    "_id" : ObjectId("5c59de20791330c1e7ad15d5"),
    "package_desc" : "Muñequera Sencilla de Neopreno",
    "brand" : "TOTAL MEDIC",
    "upc" : "7503024808988",
    "image_url" : "https://s3-us-west-2.amazonaws.com/drugs-catalog/all_drugs/7503024808988.png",
    "provider" : "total_medic",
    "categories" : "['muñequera']",
    "flag dbase" : "Total Medic",
    "unique_id" : "64d2d603e682c0b4d63f4c9a242852b66df33da05d9654000aef8dc56ded3403",

mevangelista-alvarado

{
  "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

mevangelista-alvarado

[
  {
    "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

mevangelista-alvarado

# -*- coding: utf-8 -*-
"""
Author: Jesus A. Garzon
github: xtornasol512
twitter: xtornasol512
Description: 
Just put this script in your directory of images
After create a directory for img_result
Then execute the script
python resize1920.py

mevangelista-alvarado