罗伯茨花费很多工作时间来整理检点数据，以此作为该研究的基础。
Roberts has spent much of his working life collating the data on which the study was based.
如果我们回想一下我们一开始讲过的数据对象的种类，浮点数，整数，字符串，它们实际上有相同的行为方式。
If we go back up to the kinds of data objects we started with, floats, ints, strings, they actually behave the same way.
注意，为点数据指定多个网格级别是没有好处的。
Note that it is never advantageous to specify more than one grid level for point data.
数据绑定必须保证从这个端点到那个端点数据是一致的。
From one endpoint to the other, data binding must ensure that data is consistent.
我要为大家指出这一点的原因是，如果我们想一下以前讲过的，数据类型的种类，浮点数，整数，字符串，它们实际上有相同的行为方式。
The reason I want to point this out to you is, if we go back up to the kinds of data objects we started with, floats, ints, strings, they actually behave the same way.
为了更加精确，请考虑增加必要的样例数或者数据点数以进行平均。
For more accuracy, consider increasing the number of samples required or the number of data points to average.
您可以看到，这些文档可以存储包括字符串、整数、浮点数、日期、对象、数组等的各种数据类型。
As you can see, these documents can store various data types include strings, integers, floats, dates, objects, arrays and more.
他们可以为士兵提供一张可以显示即时地点数据的现场虚拟地图。
They can gather around a virtual map of the battlefield with live location data for their troops.
毕竟，如果您希望做的只是存储一点点数据的话，RDBMS是一个强大、复杂的系统。
After all, an RDBMS is a powerful, complicated system when all you really want to do is save a little data.
上图是通过简单地把CPU和磁盘使用率指定为线并把每个应用程序的二进制焦点数据指定为点生成的。
The graph above is generated by specifying the CPU and disk usage as lines and the binary focus data per application as dots only.
然后，服务器的位置信息会从端点数据库中删除掉。
The server's location information is then removed from the endpoint database.
点击下一步将看到“验证点和动作”向导的“验证点数据”标签。
Click Next to see the Verification Point Data TAB of the Verification Point and Action Wizard.
如果需要其他的数据类型，比如说整数、浮点数或者布尔值，必须使用相应的包装器类来解析字符串。
If you need another data type such as integer, floating point, or Boolean value, you will have to parse the string using the appropriate wrapper class.
现在，下一个任务是在端点数据库中查找给定接口的所有兼容的塔。
Now, the next task is to look for all the compatible towers for the given interface in the endpoint database.
调用这个例程查看端点数据库的内容。
This routine is called to view the contents of the endpoint database.
此步骤是将正确的焦点/非焦点数据与相应的窗口名称关联在一起的关键。
This step is key to associating the correct focus/nonfocused data with the appropriate window name.
检查所有输入参数之后，获取访问端点数据库的引用。
After all the input parameters are validated, reference to access the endpoint database is obtained.
区别在于一个事实：计算机中使用的浮点数据类型无法包含每个实数。
The difference lies in the fact that floating-point data types used in computers can't hold every real number.
通过节点数据类型以及它所支持的函数，可以在关系数据库中表示分层数据。
The node data type, with its supporting functions, gives you the ability to represent hierarchical data within the relational database.
一般情况下，端点数据库的内容包括UUID、接口ID、注解表示和字符串绑定信息。
Normally, the contents of the endpoint database are sets of UUID, interface ID, annotation representation and the string binding information.
使用适用于列表的列表节点数据结构。
第三个项目可以收集你的日常定点数据，然后和空气污染报告进行前后对比。
The third project gathers your daily location data and cross references it with air pollution reports.
现在已经创建了树，您可以扩展获取被请求节点数据的节点了。
Now that the tree is created, you can expand a node that fetches data for the requested node.
这里的目标只是获取端点数据库的引用。
The objective here is to simply get a reference to the endpoint database.
地点数据显示在弹出的警告窗口中，如图2 所示。
The location value pops up in an alert window, as shown in Figure 2.
与名称服务数据库一样，信息在端点数据库中存储为塔的形式。
Remember that like in the name service database, information is stored in tower representation even in the endpoint database.
有了连接端点数据库所需的完全绑定句柄之后，检查接口的协议版本与服务器协议版本的兼容性。
Once we have a fully bound handle to contact the endpoint database, the protocol versions of the given interface are checked for compatibility with that of the server's.
各援助点数据库的使用可有效地寻找人口并让分离的家庭重聚。
The database was employed in the distribution of aid and proved useful in searching for and reuniting separated families.
处理检索单个时间点数据的代码应该是类似的。
Code to handle the case of retrieving data for a single time point would be similar.
处理检索单个时间点数据的代码应该是类似的。
Code to handle the case of retrieving data for a single time point would be similar.
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