• 符合全球标准和数据池标准。

    Global standards and data pool standards compliance.

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  • 使用数据池随机的输入。

    Randomized input using data pools.

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  • 支持GS 1标准和行业领先的数据池标准。

    GS1 standards and industry-leading data pool standards supported on an ongoing basis.

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  • 建立数据池的方法有很多。

    There are several ways to create datapools. The most basic way is by using the file menu.

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  • 因此,零售商需要以同步方式与这些全局数据池集成。

    So retailers need to integrate with these global data pools by means of synchronization.

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  • 然而,这也使得数据池的最大容量依赖于可用的内存总量。

    However, it also makes the maximum size of the data pool dependent on the amount of available RAM.

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  • 展开一个或者多个数据池,确定需要映射的资源。

    Expand the pool or pools, and locate the resource that needs to be mapped.

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  • 现在数据池已经建立起来了,将其与脚本联系起来再使用它。

    Now that your data pool is established, associate it with the script that will use it.

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  • 您能够通过命名创建同每一个页面相对应的数据池。

    You can create Datapools that correspond to each page by naming them accordingly.

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  • 首先,您必须创建一个数据池,然后导入它以和脚本一起使用。

    First, you must create a data pool, and then you import it to use with your script.

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  • 在这个例子中,您将添加一个保存相同值的多个数据的数据池。

    In this example, you will add a data pool that stores multiple data for the same value.

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  • 您可以在此关联数据池,或者您可以在进行替换时关联它们。

    You can associate datapools here, or you can associate them when you make the substitution.

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  • 全局数据池(比如1sync)存储产品主数据领域的属性和层次结构。

    Global data pools, such as 1sync, store attributes and hierarchies for the product master data domain.

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  • 每一个MicrosoftExcel测试数据文件都会传播一个数据池。

    Each Microsoft Excel testing data file populates one data pool.

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  • 由于这个新测试是从最初的记录中产生的,它将不包含取代数据池数值的编辑。

    Since the new test was generated from the initial recording, it will not include the edits for substituting datapool values.

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  • 首先,创建更够容易获取的数据,云计算设备数据以及众包的数据池。

    First, by creating deep pools of easily accessed data, cloud computing facilitates data mining and crowd sourcing.

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  • 首先,测试人员使用FunctionalTester数据池建立一个决策表。

    First, the tester creates a decision table with a Functional tester data pool.

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  • 虚拟走廊里的虚拟数据池(左)和媒体实验室走廊(右)里的真实数据池。

    Virtual DataPond in the Virtual Atrium (left) and a real DataPond in the real Media Lab Atrium (right).

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  • 如果您查看您刚刚建立的数据池,您使用的是数据池的默认设置,如图4所示。

    If you look at the datapool that you just created, you can see that you are on the default equivalence class created for the datapool ( Figure 4).

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  • 您创建的每一个测试脚本都有一个私有的测试数据池与其相关联--这是自动生成的。

    Every test script that you create has a private test datapool associated with it -- this happens automatically.

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  • 此规则不仅适用于向数据池添加值,然后使用它们,而且还适用于直接在对象之间复制和粘贴值。

    This rule applies not only to adding values to the data pool and then using them, but also when you directly copy and paste values between objects.

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  • 您可以编辑数据池过滤器,以过滤其他业务对象类型,或清除过滤器,以显示数据池中的所有类型。

    You can edit the data pool filter to filter for other business object types, or clear the filter to show all of the types in the data pool.

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  • 数据池将包括五个不同的用户登录id,分别编号为:uid:0到uid:4,如表1中所示。

    The data pool will contain five different user login IDs, numbered uid: 0 through uid: 4, as Table 1 shows.

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  • 如果在每次模拟组件时厌倦了输入值,或者甚至厌倦了从数据池选取数据,则使用编程式模拟非常有用。

    Using programmatic emulation is useful if you are tired of entering values or even picking values from the data pool every time a component is emulated.

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  • 在结果对话框中,选择您想要的数据池(扩展名为。datapool的文件,而不是CSV文件)。

    In the resulting dialog, select the datapool you want (the file with the.datapool extension, not the CSV file).

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  • 右键点击这个虚框,打开弹出式选单(图7),用它来添加或者维护已有的数据池构件元素。

    Right-clicking on the grid opens the pop-up menu ( Figure 7) that you use to add or maintain the datapool structural elements already described here.

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  • 这些信息对于零售商非常重要,零售商必须利用它们把供应商发布的必需的产品属性输入这些全局数据池。

    This information is crucial for retailers in order to get the required product attributes that are published by their suppliers into these global data pools.

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  • 您可以向脚本分配一个数据池,然后该脚本就会使用来自所分配数据池的Excel文件的测试数据了。

    You can assign a data pool to a script, and then the script will use testing data from the assigned data pool's Excel file.

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  • 你可以使用每行包含多个元素的数据池,但是用户必须在这个测试的自定义代码中增加一些功能来取出单个元素。

    You can use data pools that contain multiple elements per line, but the user would have to add functions to the test's custom code to extract individual elements.

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  • 巨大的数据池将会用到大量的内存,这将会降低加载和RationalPerformance启动的速度。

    Large data pools will use a lot of memory, which can slow down the loading and starting of a Rational Performance Tester test.

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