ywolff

def encrypt(plaintext, key):
    cyphertext = ''
    for character in plaintext:
        if character.isalpha():
            number = ord(character)
            number += key
            if character.isupper():
                if number > ord('Z'):
                    number -= 26
                elif number < ord('A'):

ywolff

import sys

from caesar_encryption import encrypt


def caesar():
    key = 1
    is_error = False

    for index, arg in enumerate(sys.argv):

ywolff

import argparse

from caesar_encryption import encrypt


def caesar():
    parser = argparse.ArgumentParser()
    group = parser.add_mutually_exclusive_group()
    group.add_argument('-e', '--encrypt', action='store_true')
    group.add_argument('-d', '--decrypt', action='store_true')

ywolff

import click

from caesar_encryption import encrypt

@click.command()
@click.argument('text', nargs=-1)
@click.option('--decrypt/--encrypt', '-d/-e')
@click.option('--key', '-k', default=1)
def caesar(text, decrypt, key):
    text_string = ' '.join(text)

ywolff

import click

from caesar_encryption import encrypt

@click.command()
@click.option(
    '--input_file',
    type=click.File('r'),
    help='File in which there is the text you want to encrypt/decrypt.'
         'If not provided, a prompt will allow you to type the input text.',

ywolff

import click
import enchant

from caesar_encryption import encrypt

@click.command()
@click.option(
    '--input_file',
    type=click.File('r'),
    required=True,

ywolff

import click
import enchant

from tqdm import tqdm

from caesar_encryption import encrypt

@click.command()
@click.option(
    '--input_file',

ywolff

from tensorflow.keras.layers import Dense
from tensorflow.keras import Model, Input


def build_big_model(
    # small input and output in order to avoid latency due to data transfer through the internet during our tests
    input_width=10,
    output_width=10,
    hidden_layers_width=10**4,
    nb_hidden_layers=200,

ywolff

import numpy as np
from flask import Flask, request

from build_big_model import build_big_model

model = build_big_model()

app = Flask(__name__)

ywolff

import numpy as np
from locust import HttpLocust, TaskSet, task, between

INPUT_WIDTH = 10


class PredictTaskSet(TaskSet):
    @task(1)
    def predict(self):
        payload = {