额外的数据类型检查代码是不必要的。
检查给定的输入是否具有预期的数据类型。
本专栏的前一期文章指出了一些常见的输入数据类型以及检查它们的方法。
The previous installment in this column identified some common input data types and how to check them.
验证就是检查实例文档是否满足在XML模式中指定的结构、数据类型和内容限制的过程。
Validation is a process of checking whether the instance document satisfies structural, data type, and content constraints specified in the XML schema.
我们需要在服务器上进行重新检查，或者至少确保我们已经预料到了由无效数据类型引起的异常。
We would need to do some rechecking on the server, or at least ensure we've anticipated exceptions due to invalid data types.
还添加了一些新的数据类型，例如链接、数字和日期、搜索、自定义帮助、限制检查、改进的导航、视图和更好的富文本编辑。
New data types such as links, Numbers and dates, searching, custom help, limit checking, improved navigation, views and better rich text editing have been added.
当匹配模式或者进行值比较时，需要检查数据类型。
Attempting to check the data type when matching a pattern or in a value comparison.
在DefineRelationships屏幕，检查数据类型之间的关系。
In the Define relationships screen, check the relationships between data types.
DeployAttributeNotNull确认器只适用于复杂的数据类型，例如端口(os：port)并检查它们拥有一个值。
The DeployAttributeNotNull validator works on complex data types such as the port (OS: port) and checks that they have a value.
MTK 将ENUM数据类型映射到带检查约束的VARCHAR(255)。
MTK maps the ENUM data type to VARCHAR(255) with check constraint.
您有一个地址清理服务，它检查地址的有效性，但是需要给出一个地址作为被逗号分隔的值；也就是说，库中存在一种AddressCSV数据类型。
You have an address cleansing service that checks the validity of addresses, but requires an address to be given as a comma delimited value; that is, there is an AddressCSV data type in the library.
但是如果您不知道所有的数据自何处而来，那么，只是知道如何检查数据类型是不够的。
But knowing how to check data types isn't enough if you don't know where all of your data comes from.
处理器在提交数据进行处理之前检查数据类型和约束。
The processor checks data types and constraints before the data is submitted for processing.
对于识别登录数据类型，一种已经证明有效的做法是使用嵌套的IF语句检查可信凭证、凭证和表单，最后检查sso。
A proven practice for handling the identification of logon data type is to use nested if statements which will check for Trusted Credentials, Credentials, Forms and finally for SSO.
这个解析器检查返回的行和列上的元数据类型，以确保它只读取sqlxml类型的xml列。
The resolver looks at the metadata type on the returned row and column, ensuring it only reads XML columns with the SQLXML type.
解决方案：检查CREATEPROCEDURE语句，确保传递的输入和输出参数的数量和数据类型都正确。
Solution: Check the CREATE PROCEDURE statement and make sure you are passing the correct number of input and output parameters with proper data types.
实现or g . relaxng .datatype . datatype接口的类表示素数数据类型：该类负责检查一个给定的字符串是否为素数。
A class that implements the org.relaxng.datatype.Datatype interface to represent the prime datatype: This class is responsible for verifying that a given string is, in fact, a prime number.
第 1部分：XML Schema 1.1 简介（2008 年12 月）：检查一个特性概述，包括数据类型的添加和更改。
Part 1 (December 2008): Check out an overview of features, plus the additions and changes to datatypes.
您可以测试数据类型，但这种检查的基础犀利的复杂性。
You can test the data type, but splattering such checks builds complexity.
另一方面，它提供了比C更多的错误检查，并且，做为一门非常高级的语言，它拥有内置的高级数据类型，例如可变数组和字典，如果通过C 来实现的话，这些工作可能让你大干上几天的时间。
On the other hand, Python also offers much more error checking than C, and, being a very-high-level language, it has high-level data types built in, such as flexible arrays and dictionaries.
复杂数据类型验证是XML文档验证的主要内容，是检查XML文档结构是否符合模式规则的关键。
The validation for complex data type is primary portion of XML document validation and the key to checking whether the structure of a XML document matches its schema rule.
检查该重载函数接受的数据类型，并确保参数的数据类型只与一个重载函数相匹配。
Check the data types accepted by the overloaded function and make sure the data types of the arguments match only one overloaded function.
其中要的一点就是：你必须检查数据库支持的数据类型。
It is important to check what data types your database supports.
泛型相当有用，因为他们提供强制的编译时类型检查，要求更少的数据类型之间的显式转换，并减少装箱拆箱的操作和运行时类型检查。
Generics are useful because they provide stronger compile-time type checking, require fewer explicit conversions between data types, and reduce the need for boxing operations and run-time type checks.
泛型相当有用，因为他们提供强制的编译时类型检查，要求更少的数据类型之间的显式转换，并减少装箱拆箱的操作和运行时类型检查。
Generics are useful because they provide stronger compile-time type checking, require fewer explicit conversions between data types, and reduce the need for boxing operations and run-time type checks.
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