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COGNITIVE FUNCTION ADVANCE: One of the most commonly praised effects of ginkgo biloba extract is its impact on cognition. Certain studies have demonstrated ginkgo biloba’s ability to increase memory and retention, boost focus, and stimulate creative thinking. Millions of people around the world turn to ginkgo for a brain boost. Plus, it may helps reduce the symptoms of anxiety too.

LESSEN DEPRESSION: If you are having trouble looking on the bright side of things or have mood swings, ginkgo biloba has been shown to be highly effective in balancing your compound levels and boosting your mood. While the most promising results have been shown in elderly people, that have a depression as a result of cognitive difficulties, research on younger people that have a depression have also been promising.

BLOOD CIRCULATION BOOST: Research has definitively shown that ginkgo biloba extract is able to increase blood flow overall and stimulate blood supply to extremities in the body, including the skin and essential systems, properly oxygenating the entire system and boosting energy and strength. This increase in blood flow also may helps people who have poor circulation, allowing them to perform better in physical activity.

GOOD MOOD SUPPORT: If you have chronically high stress that is killing your quality of life, nervousness, depression or mood swings, ginkgo might be able to help. Research suggests ginkgo biloba benefits the systems ability to handle stressors and counteracts the effects of high levels of stress compounds, like cortisol and adrenaline. Known as an adapotgen herb that naturally raises the system's ability to cope with trouble and worry, it might be especially helpful for people with anxiety and possibly seasonal emotions.

Brain Booster Pills - Ginkgo BILOBA 120MG - Support Mental Clari

I'm impressed not more people talk about locust (http://locust.io/). 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 Lztly for Colt Armrest Box Universal Car Center Console Modifica Lead Software Engineer at EA/DICE

locust.io 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
locustfile.py
from locust import HttpUser, between, task


class WebsiteUser(HttpUser):
    wait_time = between(5, 15)
    
    def on_start(self):
        self.client.post("/login", {
            "username": "test_user",
            "password": ""
        })
    
    @task
    def index(self):
        self.client.get("/")
        self.client.get("/static/assets.js")
        
    @task
    def about(self):
        self.client.get("/about/")
# This locust test script example will simulate a user 
# browsing the Locust documentation on https://docs.locust.io

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


class AwesomeUser(HttpUser):
    host = "https://docs.locust.io/en/latest/"
    
    # 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
        self.wait()
        # assume all users arrive at the index page
        self.index_page()
        self.urls_on_current_page = self.toc_urls
    
    @task(10)
    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
        ]
    
    @task(50)
    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
        ]
    
    @task(30)
    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):
    pass

class ForumPage(TaskSet):
    # wait_time can be overridden for individual TaskSets
    wait_time = between(10, 300)
    
    # TaskSets can be nested multiple levels
    tasks = {
        ForumThread:3
    }
    
    @task(3)
    def forum_index(self):
        pass
    
    @task(1)
    def stop(self):
        self.interrupt()

class AboutPage(TaskSet):
    pass

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
    @task(10)
    def index(self):
        pass
$ locust -f locustfile.py

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

Installation

The easiest way to install Locust is from YOUANG Childrens Beach Toy Set, 6-Piece Beach Toys, with Beach B, using pip:

> pip install locust

Read more detailed installations instructions in the documentation.

Get the source code at Github.

Maintainers & Contributors


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