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Nourishing Healthy Skin DHL EXPRESS 4 x 3ml Aging Firm Soft Smoo


Nourishing Healthy Skin DHL EXPRESS 4 x 3ml Aging Firm Soft Smoo


Product description

1.) Mfeel Spongilla Micro Serum Rejuvenating 4 x 3ml Anti Aging Firm Soft Smooth Nourishing Healthy Skin

Helps the skin to be soft, moisturized,bouncy, clear, full of water.
Reduce dull skin.Adjust the skin color evenly.
Reduce large pores.And shallow pore.
Pore holes look more shallow. Tighten pores Makes the face smooth and can be felt in 14 days.

Step 1 : Open the lid.
Step 2 : Press out the serum.
Step 3 : Apply all over the face.

Notification No. 10-2-6100011295
Package : 1 Box ( 3 ml. X 4 Bottles)

Nourishing Healthy Skin DHL EXPRESS 4 x 3ml Aging Firm Soft Smoo

I'm impressed not more people talk about locust ( The thing is awesome :) Shoutout too the guys from ESN :)

Armin Ronacher Author of Flask, Jinja2 & more

it’s become a mandatory part of the development of any large scale HTTP service built at DICE at this point.

Joakim Bodin Lead Software Engineer at EA/DICE is pretty fantastic, wish it had a bit more in the way of docs for non-HTTP stuff though

Alex Gaynor Django & PyPy core developer
from locust import HttpUser, between, task

class WebsiteUser(HttpUser):
    wait_time = between(5, 15)
    def on_start(self):"/login", {
            "username": "test_user",
            "password": ""
    def index(self):
    def about(self):
# This locust test script example will simulate a user 
# browsing the Locust documentation on

import random
from locust import HttpUser, between, task
from pyquery import PyQuery

class AwesomeUser(HttpUser):
    host = ""
    # we assume someone who is browsing the Locust docs, 
    # generally has a quite long waiting time (between 
    # 10 and 600 seconds), since there's a bunch of text 
    # on each page
    wait_time = between(10, 600)
    def on_start(self):
        # start by waiting so that the simulated users 
        # won't all arrive at the same time
        # assume all users arrive at the index page
        self.urls_on_current_page = self.toc_urls
    def index_page(self):
        r = self.client.get("")
        pq = PyQuery(r.content)
        link_elements = pq(".toctree-wrapper a.internal")
        self.toc_urls = [
            l.attrib["href"] for l in link_elements
    def load_page(self):
        url = random.choice(self.toc_urls)
        r = self.client.get(url)
        pq = PyQuery(r.content)
        link_elements = pq("a.internal")
        self.urls_on_current_page = [
            l.attrib["href"] for l in link_elements
    def load_sub_page(self):
        url = random.choice(self.urls_on_current_page)
        r = self.client.get(url)
# An example on how to use and nest TaskSets

from locust import HttpUser, TaskSet, task, between

class ForumThread(TaskSet):

class ForumPage(TaskSet):
    # wait_time can be overridden for individual TaskSets
    wait_time = between(10, 300)
    # TaskSets can be nested multiple levels
    tasks = {
    def forum_index(self):
    def stop(self):

class AboutPage(TaskSet):

class WebsiteUser(HttpUser):
    wait_time = between(5, 15)
    # We can specify sub TaskSets using the tasks dict
    tasks = {
        ForumPage: 20,
        AboutPage: 10,
    # We can use the @task decorator as well as the  
    # tasks dict in the same Locust/TaskSet
    def index(self):
$ locust -f

Example code

A fundamental feature of Locust is that you describe all your test in Python code. No need for clunky UIs or bloated XML, just plain code.

Select example

Used by


The easiest way to install Locust is from PyPI, using ZXNRTU Digital Kitchen Scale Multifunction Food Scale, Accuracy:

> pip install locust

Read more detailed installations instructions in the Kinsman Enterprises 65122 Plastic Adjustment Tab for Swedish Hel.

Get the source code at Github.

Maintainers & Contributors

Original Authors

  1. Joakim Hamrén

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