如果条件1为真,变量${var}的值设为a, 否则判断条件2,若为真变量值设为b,否则设为c。 2. 使用示例 *** Test Cases *** Test_001${num}setvariable 0${result}setvariableif${num}<0 a blogto console${result}${num2}setvariable 5${result2}setvariableif${num2}<0 less than 0 ...${num2...
robotFramework-几种set Variable的区别 Set Global Variable 使用范围:在所有测试套件中都可以使用该关键字定义的变量。 Set Suite Variable 使用范围:使用此关键字设置的变量在当前执行的测试套件的范围内随处可用。 Set Test Variable 使用范围:使用此关键字设置的变量在当前执行的测试用例的范围内随处可用 Set Variable...
robotframework --- set variable if 1. 简介 最常用的形式是: ${var} set variable 判断条件 a b 1. 如果条件为真,变量${var}的值设为a, 否则设为b。 另一种使用形式: ${var} set variable 判断条件1 a ... 判断条件2 b ... c 1. 2. 3. 如果条件1为真,变量${var}的值设为a, 否则判...
import datetime PATH = os.getcwd()#获得当前路径RANDOM_INT = random.randint(0,9999)#random integer in range [0,9999]CURRENT_TIME = time.time()# 1513661957.0591035NOW = datetime.datetime.now()#2017-12-19YEAR = NOW.year MONTH = NOW.month HOUR = NOW.hour RF中打印变量的值如下: rf log YA...
To this end, a framework is presented for stylistic gait generation in a compass-like under-actuated planar biped model. The gait design is done using model-based trajectory optimization with variable constraints. For a finite range of optimization parameters, a large set of 360 gaits can be ...
side limb by independent real-time stiffness control. Additionally, the bilateral impedance control is incorporated for realizing compliant patient–robot interaction. Preliminary experiments were carried out to evaluate the tracking perf...
robotframework学习笔记六:Set Variable If 关键字的使用 此处特别注意,必须将条件成立和不成立时的结果都要写上,否则在条件不成立时,原变量将被赋予None值。 使用Set Variable If 特别容易被偷偷的改值,问题就出现在上面这里!
作用域是可以修改的,即通过一些系统关键字,对变量进行作用域的设定,常用的关键字有: Set Global Variable ——设定全局级变量 Set Suite Variable ——设定suite级变量 Set Test Variable ——设定case级变量 举例说明 创建2个test case:test1,test2,都在一个suit下 ...
These labels have been validated by conducting user studies in Amazon Mechanical Turk and thus demonstrate that visually distinguishable, meaningful gaits are generated using this framework. This lays groundwork for creating a bipedal humanoid with variable socially competent movement profiles. 展开 ...
The intermediate rewards in our reinforcement learning framework are derived from the Apache II score (Acute Physiology and Chronic Health Evaluation II) [17], a well-established system for assessing the severity and prognosis of ICU patients. This score is computed using multiple physiological and ...