Using storage policy filter expressions.
使用存储策略筛选器表达式。
The following sections describe some sample filter expressions.
接下来将描述一些样例筛选器表达式。
It allows users to filter expressions based on something other than their type.
它允许用户通过表达式筛选一些情况,而不是仅仅是筛选它的类型。
Next, the rule USES the ASTHelper.satisfy method to filter expressions from the list that do not meet a given criteria.
接下来,该规则使用ASTHelper. satisfy方法从满足给定标准的列表中筛选表达式。
The tcpdump and tcpflow tools give you a huge number of options, including the ability to create complex filter expressions.
tcpdump和tcpflow工具有大量的选项,包括创建复杂过滤表达式的能力。
Filter expressions provide a more flexible mechanism for specifying which storage areas to select for a given storage policy.
在为给定存储策略指定存储区域时,筛选器表达式提供了一种更加灵活的机制。
The Using storage policy filter expressions section later in this article discusses storage policy filter expressions in greater detail.
本文后面的使用存储策略筛选器表达式一节将更详细地讨论存储策略筛选器表达式。
The basic report, on the other hand, contains a list of Rational DOORS filter expressions, and assigns different templates to the result objects of these filter expressions.
另一方面,基本报告包含有RationalDOORS筛选器表达式的列表,并向这些筛选器表达式的结果对象分配不同的模板。
Mostly they seem puzzled by the purpose of filter expressions and correlation predicates, by the various event delivery options, and by the way in which updates are driven in a monitoring context.
基本上,他们似乎是被筛选器表达式和关联谓词的用途、各种事件交付选项以及监视上下文中驱动更新的方式难住了。
We can define multiple conditions in a single Query Filter definition by using Boolean expressions.
可以使用布尔表达式在单个QueryFilter定义中定义多个条件。
Message Filter — Selectively route messages based on message content specified via XPath expressions.
MessageFilter——根据XPath表达式指定的消息内容,选择性地对消息进行路由。
The other type of filter is based on Xpath expressions.
另一种过滤器类型基于Xpath表达式。
Use regular expressions for more complex filtering (an asterisk (*) is always added to the beginning and end of the filter string, so there's no need to add wildcards for simple strings).
对更复杂的过滤使用正则表达式(过滤字符串的开头和末尾总是添加一个星号 *,因此没有必要为简单的字符串添加通配符)。
Based on the delay-coordinate reconstruction and bilinear expressions in the phase space of a chaotic system, a bilinear adaptive filter was designed to predict low-dimensional chaotic time series.
基于混沌动力系统相空间的延迟坐标重构和双线性表达式,设计了预测混沌时间序列的双线性自适应预测滤波器。
Several eigenvalue expressions are encountered in studying the convergence condition and the lower and upper limit formula of the LMS algorithm which is used in the adaptive filter design.
在研究线性滤波lms算法的收敛条件及推导其稳态相对误差的上下限算式时,都用到自相关矩阵的特征值的表达式。
Several eigenvalue expressions are encountered in studying the convergence condition and the lower and upper limit formula of the LMS algorithm which is used in the adaptive filter design.
在研究线性滤波lms算法的收敛条件及推导其稳态相对误差的上下限算式时,都用到自相关矩阵的特征值的表达式。
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