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A scalable, concurrent, in-memory Key Value (KV) map. Oak implements a concurrent Key-Value map that can keep all keys and values off-heap. This enables working with bigger heap sizes than JVM's managed heap. OakMap implements an API similar to the industry standard Java8 ConcurrentNavigableMap API. It provides strong (atomic) semantics for read, write, and read-modify-write, as well as (non-atomic) range query (scan) operations, both forward and backward. OakMap is optimized for big keys and values, in particular, for incremental maintenance of objects (update in-place). It is faster and scales better with additional CPU cores than the popular Java ConcurrentNavigableMap ConcurrentSkipListMap

HotSpot learns a set of rules (displayed in a tree-like structure) that maximize/minimize a target variable/value of interest. With a nominal target, one might want to look for segments of the data where there is a high probability of a minority value occuring (given the constraint of a minimum support). For a numeric target, one might be interested in finding segments where this is higher on average than in the whole data set. For example, in a health insurance scenario, find which health insurance groups are at the highest risk (have the highest claim ratio), or, which groups have the highest average insurance payout.

Suji is a converter library from Japanese number notation to numerical value, and from numerical notation to Japanese Kansuji notation. Converter.values(src) to convert from Japanese number notation to numerical value: Japanese number notation can include Kansuji. The String "１つの価格が二兆30万五千十7円になります。" will be converted to two BigDecimal, 1 and 2000000005017. And also, 打率は三割二部五厘です。 will be a 0.325. The return value is a list of Suji Numeral objects. If the input string has no number notation, Suji returns a empty list. The Numeral object has three methods: value(), begin(), and end(): value(): a BigDecimal instance of a numerical value for the number notation. begin(): the begin index (int) of the found number notation at the input string. end(): the end index (int) of the found number notation. Converter.kansujis(src) to convert from numeric notation to Japanese Kansuji notation: The String 20兆30万五千十7円になります。 will be converted to the Kansuji string, 二十兆三十万五千十七. The boolean flag one is interpreted as whether to display the first character 一 or not. The output of Converter.kansujis('1000万', true) will be converted to 一千万, and the output of Converter.kansujis('1000万', false) will be converted to 千万. Note that kansujis does not support numerical notation after the decimal point. If the input string is 32.01, the output will 三十二, not 三十二割一厘. The return value is a list of Kansuji objects. If the input string has no number notation, Suji returns a empty list. The Kansuji object has three methods: value(), begin(), and end(): value(): a String instance of a Kansuji notation. begin(): the begin index (int) of the found number notation at the input string. end(): the end index (int) of the found number notation. Suji is a one-pass parser. That is, Suji parse a source text from the head to the end only once.

<p>Integrate the Mantis bugtracker system into netbeans</p> <p>Note for installation - to make the "Add patch" and "Checking" comment functions work correctly the mantis system has to configured correctly please check these options, if you encounter problems:</p> <ul> <li>source_control_notes_view_status (default private, integer value 10 -> public)</li> <li>source_control_set_resolution_to (integer value 80->resolved, 90->closed)</li> <li>source_control_set_status_to (20->fixed)</li> </ul> <p>If a self-signed SSL certificate or an invalid certificate need to be accepted, please install the module "SSL Certificate Exception".</p>

It helps to quickly make settings for class and its fields of with properties XML. Instead of create a lot of files to describe every class and its fields it use describing by type, by name. E.g. setting "java.lang.Integer"-"INTEGER NOT NULL" will be assigned for every field of this type. Of course it can be overridden by settings for field name and so on. It is used by beige-web to describe how to render an entity and convert from HTML value. It is used by beige-orm to describe how to map an entity to a DBMS. It make simple settings - Map<String, String>, e.g. "title"-"Beige ORM 1.1", class settings Map<String, Map<String, String>>, e.g. "org.model.Customer"-["defaultOrder"-"ITSNAME", "wdgFilterOrder"-"filterOrderStd"], fields settings Map<String, Map<String, Map<String, String>>>, e.g. "org.model.Customer"-["itsId"["wdgNew"-"null", "wdgFilter"-"filterNumber"]]

This module contains the sequence datastructure of the TCS Alignment Toolbox. It defines the possible value sets in the ValueType enum as well as the different KeywordSpecification classes, namely: 1.) StringKeywordSpecification for string type values. 2.) SymbolicKeywordSpecification for values from a discrete alphabet (also refer to the Alphabet class) 3.) VectorialKeywordSpecification for vectors of some length (or for scalars) A NodeSpecification is a vector of such KeywordSpecifications and defines the order of value sets. A node, then, is defined as a vector of values from these value sets (also refer to the Value interface as well as the StringValue, SymbolicValue and VectorialValue classes). Finally a sequence is defined as a list of such nodes.

A simple meta-classifier that uses a clusterer for classification. For cluster algorithms that use a fixed number of clusterers, like SimpleKMeans, the user has to make sure that the number of clusters to generate are the same as the number of class labels in the dataset in order to obtain a useful model. Note: at prediction time, a missing value is returned if no cluster is found for the instance. The code is based on the 'clusters to classes' functionality of the weka.clusterers.ClusterEvaluation class by Mark Hall.

配置监控信息，在web.xml中添加 <filter> <description>拦截获取js与css过滤</description> <filter-name>MergeFilter</filter-name> <filter-class>com.njzxw.filter.MergeFilter</filter-class> <init-param> <!-- js合并输出路径 --> <param-name>jsDir</param-name> <param-value>${js.path}</param-value> </init-param> <init-param> <!-- css合并输出路径 --> <param-name>cssDir</param-name> <param-value>${css.path}</param-value> </init-param> </filter> 同时添加一个合并js\css对应一个merge.xml，最好放置在同级，如： <merge> <group name="sss" > <js path="js/common/common.js" /> <js path="js/common/index.js" /> <css path="css/common/animate.css" /> <css path="css/common/normalize.css" /> </group> </merge> 访问项目：xxx/sss.js xxx/sss.css 同时配合maven插件： compress-maven-plugin结合使用： <plugin> <groupId>com.github.eliayng</groupId> <artifactId>compress-maven-plugin</artifactId> <version>1.0.0</version> <executions> <execution> <phase>compile</phase> <goals> <goal>compress</goal> </goals> </execution> </executions> <configuration> <skip>${skipCompress}</skip> <poolNum>50</poolNum> <jsOutDir>${jsOutDir}</jsOutDir> <cssOutDir>${cssOutDir}</cssOutDir> <!--是否监控编译class文件--> <isCompressClass>true</isCompressClass> <!-- 是否复制资源文件 --> <isResourcesCopy>true</isResourcesCopy> </configuration> </plugin>