Let me explain those three booleans a bit more.
让我们更详细地解释这三个布尔常量。
The Boolean false elements are maintained as Booleans.
布尔型false元素都被保留为布尔型。
Booleans are delineated by the values true or false, without quotations.
Booleans通过值true或者false来划定，没有分号。
But JCR also supports other types, including booleans, dates, and long integers.
但是JCR还支持其他类型，包括布尔型和长整型。
Methods that return Numbers return 0. Methods that return booleans return false.
返回数字的方法返回0，返回布尔值的方法返回false。
This example will store booleans, scalars, arrays, and hashes in separate tables.
这个示例将在不同表中存储布尔值、标量、数组和散列。
Strings, numbers (floating point only), booleans, and the special nil type are basic types.
number（只有浮点数）、boolean和特殊的nil类型都是基本类型。
Next to the word Preview is a brief description of this template: Display Text for Booleans.
在词语Preview的旁边是该模板的简单介绍：DisplayTextfor Booleans。
Read more about Dr. George Boole, the inventor of symbolic logic, after whom booleans are named.
阅读关于George Boole博士（符号逻辑的发明者）的更多内容，布尔型就是因他而得名的。
Do not use Booleans unless you are absolutely sure there will never be a need for more than two values.
除非完全确定永不需要多于两个的值，否则不要使用布尔值。
PAT and EFAT accept several data types, such as integers, Booleans, floats, enumerates and fixed-size arrays.
PAT和EFAT能接受多种数据类型，包括整型、布尔型、浮点型、枚举型变量和有限大小的数组。
Functions can return booleans, which is often convenient for hiding complicated tests inside functions. For example.
函数也可以返回布尔值，这种情况便于隐藏函数内部的复杂测试。例如。
So far in this series of articles, we've been restricted to the use of single scalar values (Numbers, strings, and booleans).
到目前为止，该系列文章一直关注单个标量函数(数值、字符串和布尔值)的使用。
For example, every value in Scala is an object, this includes basic data types (i.e. booleans, Numbers) as well as functions.
例如，Scala中的每个值都是一个对象，包括基本数据类型(即布尔值、数字等)在内，连函数也是对象。
Keeping the Boolean functions true and false as Booleans without having them unintentionally converted to strings is difficult.
保持Boolean函数true和false为booleans值，不让它们被意外地转换成字符串，是很困难的。
Manually add exception handling to the TopType methods to ensure only string values that can be converted to booleans are supplied.
向TopType方法中手工添加异常处理代码，保证只能提供可以转化成布尔值的字符串。
These include Booleans, Lofts, Extrudes and more; allowing you to use the right tool in the right place to achieve the best results.
其中包括布尔，阁楼，挤出更多，让您使用在正确的地方，以达到最佳效果的正确的工具。
In addition to basic string support, you can store booleans, doubles, floats, integers, longs, and byte arrays (think serialization).
除支持基本的字符串之外，您还可以存储布尔值、双精度数、浮点数、整型数、长整型数和字节数组(考虑序列化)。
Try to design your extension functions so that they use only doubles, strings, booleans, and node-sets as both arguments and return values.
尽量尝试将您的扩展函数设计为仅使用双精度、字符串、布尔和节点集作为实参和返回值的类型。
Next, let's see what happens if you decide you want to change the field tag so that it generates Booleans, dates, and text components automatically.
下一节，让我们来看看若您决定改变字段标记以使其自动生成布尔值、日期和文本组件，会发生怎样的情况。
Booleans have been around for a long time, and by adding or subtracting different objects from one another we can create surprisingly complex objects.
布尔值已经存在了很长时间，并通过添加或从另一个我们可以创造出奇复杂的对象减去的对象不同。
One way would be to create an array of booleans, one for each line of the original method, and add code that sets the appropriate flag as each line is executed.
可以使用的一种方法是创建一个布尔值数组，初始方法中的每一行代码对应一个布尔值，然后添加代码，每执行一行代码就设置相应的标志。
But issues like poor transitions from object to object and messy final topology have sometimes made Booleans difficult to work with, even if they do save time.
但问题就像从对象差转换对象和凌乱的最终拓扑有时布尔困难的工作，即使他们节省时间。
Arguments are strongly-typed, and the types range from fundamental primitives (booleans, bytes, integers) to high-level structures (strings, arrays, and dictionaries).
参数是强类型的，类型的范围是从基本的非派生类型(布尔(booleans)、字节(bytes)、整型(integers))到高层次数据结构(字符串(strings)、数组(arrays)和字典(dictionaries))。
The general policy in Saxon is that scalar values (strings, numbers, Booleans) are evaluated as early as possible, while node-set values are evaluated as late as possible.
Saxon中的常规策略是尽早对标量值求值（字符串、数字、布尔值），而尽可能晚对节点集求值。
To avoid this problem, complex attributes should be initialized in the constructor; however, this is not necessary for simple attributes such as strings, booleans, and so on.
为了避免这个问题，应当在构造函数中初始化复杂属性；然而，对于字符串、布尔值等简单属性则不需要这样做。
The probability that you may have to write your own parser, because you are likely to need a variety of different data structures (booleans, scalars, arrays, and hashes, for example).
您必须自己编写解析器的可能性，因为您可能需要多种不同数据结构(例如，布尔型、标量、数组和散列)。
Writing your own parser because you need different data structures (booleans, scalars, arrays) and hashes: AppConfig handles all these data structures, but it does so without nesting.
编写自己的解析器，因为您需要不同的数据结构(布尔型、标量、数组)和散列：AppConfig处理所有这些数据结构，但它这样做时不用嵌套。
For example, in the sample application, you can create different tests for Strings, Numbers, and booleans, and then run them selectively, configuring TestNG as illustrated in Listing 4.
例如，在示例应用程序中，您可以为String、Number以及boolean创建不同的测试，然后如清单4所示配置TestNG，有选择地运行它们。
For example, in the sample application, you can create different tests for Strings, Numbers, and booleans, and then run them selectively, configuring TestNG as illustrated in Listing 4.
例如，在示例应用程序中，您可以为String、Number以及boolean创建不同的测试，然后如清单4所示配置TestNG，有选择地运行它们。
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