We can consider the performance test to be based on a regular usage scenario, and extend to the large data test set imposing some extreme loads.
可以根据常规的使用场景考虑性能测试，然后扩展到模拟某些极端负载的大型测试数据集。
This is because data set by one test is not visible to other tests, even if the other test contains a variable with the same name.
这是因为一个测试所设置的数据对其他测试来说是不可见的，就算其他的测试也包含有相同名字的变量也是这样。
Given the number of desired clusters, randomly select that number of samples from the data set to serve as our initial test cluster centers.
理想的群集数量给定后，就可以随机地从数据集选择该数量的样例来充当我们初始测试群集中心。
Set up test data in the database.
在数据库中建立测试数据。
Prepare a clean, sensible set of test data.
准备好清晰、明确的测试数据集合。
Note that the performance data described above is for a specific operating environment and for a given set of test data.
注意，上述性能数据仅针对一个特定的操作环境和一个给定的测试数据集。
This article discusses how to make up a test data set so that it is large enough to be useful for testing and has the expected distribution of values and correlation between columns.
本文讨论了如何构建一个测试数据集，以使该数据集达到用于测试的规模，并且具有期望的值分布和列间相关性。
Data-driven testing is a technique where a single test script is used repeatedly with varying input and response data that comes from a predefined data set.
数据驱动测试是一项单个测试脚本使用不同的输入和响应数据被重复地执行的技术，这些数据来源于一个预定义的数据集。
In my case, I'd like the database to have a clean set of data before each logical test collection is run.
在本文的示例中，在运行每个逻辑测试集合前，我希望数据库具有一组干净的数据。
A test that invokes the service with a valid postcode and checks that a known set of data is returned.
调用具有有效邮政编码的服务的测试，并检查是否返回了一组已知数据。
Nevertheless, if you're in a bind for data, this can yield passable results with lower variance than simply using one test set and one training set.
尽管如此，比起只是简单的使用一个测试集和一个训练集，这种方法可以产生比较低的差异，还算是一个可以说得过去的结果。
We set out to see if this was true by defining the functionality being tested, outlining our test methodology and test data, and summarizing what the findings of the tests would mean to users.
我们定义要测试的功能，列出我们的测试方法和测试数据，总结测试结果对用户的意义，从而检验这个假设是否正确。
If, for instance, you only have 20 samples, there's not much data to use for a training set and still leave a significant test set.
比如，你现在仅仅只有20个样本，对于训练集和有效的测试集来说，没有太多的数据。
The data can be sent either as binary data or ASCII text up to 15 pages in length, with a page being up to 93 characters in length; the test set only provides support for ASCII messages.
可以用二进制数据或ascii文本的形式最多发送15页的数据，每页最多有93个字符；测试装置仅提供对ascii消息的支持。
Each time you use such a function or test, the data set must be sorted by the counted column before the occurrences of the values can be counted.
每次使用函数或者测试时，必须依照所计数列对数据集进行排序。
Rational Performance Tester also provides an automated "data pooling" capability that varies the test data set used by each simulated user.
RationalPerformance Tester同时还提供了一种自动化的“数据池”特性，它可以改变每一个模拟用户使用的测试数据设置。
With DbUnit, you can load a known set of data into a database before a test, which means you can rely on that data being present during testing.
通过使用DbUnit，可以在测试前将一组已知的数据加载到数据库中，这意味着您可以依赖这些在测试过程中呈现的数据。
When we click Start this time, WEKA will run this test data set through the model we already created and let us know how the model did.
当我们这次单击Start时，WEKA将会贯穿我们已经创建的这个模型运行测试数据集并会让我们知道模型的情况。
There is some way to determine for each source file the full set of diff output identifying the changes made since the coverage data for each test was collected.
有一些方法可以决定每一个源文件和 diff输出的全集，识别作出的更改，因为每一个测试的覆盖率数据都被收集了。
We are trying to give people a way to drive their testing scenarios via a large data set. Say for example you've written the following test in Twist
我们正努力给大家提供一种方式，通过大型数据集驱动测试场景。
Also, ensuring that the data set-up is complete and correct prior to testing would avoid test failures due to data errors and thus reduce testing costs.
此外，在测试前确保数据设置的完整性和正确性可以避免由于数据错误导致的测试失败，从而降低测试成本。
The ability to recall a defined set of test data provides a significant productivity boost, and can help make testing more consistent, adding to message flow quality.
可以再次调用已定义的测试数据，极大地提高了工作效率，并且可以使得测试工作更加一致，提高了消息流质量。
For example, imagine you have a test that puts a server through its paces with a standard data set and transaction sequence.
例如，想想您已经拥有一个服务器上测试，并且这个测试将带有标准数据包和事务序列。
By providing a set of tools designed specifically for testers, we are enabling better documentation of test scenarios as well as more thorough collection of data when a scenario fails.
通过提供一套专为测试人员设计工具，当一个测试场景失败时我们将为该场景提供更好的记录信息以及更全面的数据的集合。
Programmers don't usually have to test whether the user running the program is entitled to read a data file or set the system time.
程序员通常不必测试运行程序的用户是否有权读取数据文件和设置系统时间。
The first set of test runs is strictly for gathering data at a variety of configuration points and load levels.
第一组测试运行应严格被用于在各种配置点和负载级别上收集数据。
However, for truly scalable test cases built by using a huge set of test data, substituting Datapools may not be the best solution.
然而，对于使用大量测试数据构造起来的真正可升级的测试实例来说，替换数据池也许并不是最佳的解决方案。
Gets the current file row pointer, stored as an object but used as an integer, from the global variable in the data area for the test engine (this will be set up later).
从测试引擎(稍后就会安装它)数据区域中的全局变量获取当前最为结果储存但是当作整数使用的文件行指针。
Test results on synthetic data set and power system stability assessment show its effectiveness.
在人造数据集和电力系统安全稳定评估的应用验证了算法的有效性。
Next, set up your test to loop through all of the data. The easiest way to do this is by adding a loop.
下一步，设置您的测试循环测试所有数据。
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