tokenizer java

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Java Stream Tokenizer, streamtokenizer

Java Stream Tokenizer, streamtokenizer Note:JAVA is generally used to solve problems using the handler class.InputBut it may time out when the time is strictly required. I encountered this problem when I solved POJ1823, and then switched to the StreamTokenizer class.Input. It seems that the latter handlesInputHigh efficiency.The following is a summary:1. Class java

Java Stream tokenizer Use

the punctuation marks in Englishs = string.valueof ((char) st.ttype);Symbolsum + = S.length ();}}System.out.println ("Sum of number =" + numbersum);System.out.println ("sum of Word =" + wordSum);System.out.println ("sum of symbol =" + symbolsum);Total = symbolsum + numbersum + wordSum;SYSTEM.OUT.PRINTLN ("total =" + total);return total;} catch (Exception e) {E.printstacktrace ();return-1;} finally {if (FileReader! = null) {try {Filereader.close ();} catch (IOException E1) {}}}}public static voi

PHP tokenizer learning notes

*/class compactcode {static protected $ out; static protected $ tokens; static public function compact ($ source) {// parse the PHP source code self ::$ tokens = token_get_all ($ source); self ::$ out = ''; reset (Self ::$ tokens ); // recursively determine the type of each token while ($ T = Current (SELF: $ tokens) {If (is_array ($ t )) {// filter blank and comment if ($ t [0] = t_whitespace | $ t [0] = t_doc_comment | $ t [0] = t_comment) {self: skipwhiteandcomments (); continue;} self ::$ o

Tokenize and tokenizer?

When compiling lexer or parser, except lexer and parser, tokenize and tokenizer often appear, basically all source code that involves lexical parsing will use tokenize. It is named by developers who use English. Otherwise, the name may be replaced by other simple words and will not be visualized, therefore, different languages and cultures may lead to different ways of thinking. Therefore, Chinese people's ways of thinking must be different from that

Php-tokenizer's learning experience sharing

In a project, you need to analyze the PHP code to isolate the corresponding function call (and the location of the source code). While this is also possible, it is not the best way to consider both efficiency and code complexity. In a project, you need to analyze the PHP code to isolate the corresponding function call (and the location of the source code). While this is also possible, it is not the best way to consider both efficiency and code complexity. Query the PHP manual, found that in fac

Analysis of tokenizer. h In Parser using Python lexical analysis

If you are puzzled by the actual operations on Python lexical analysis, you can click the following article to learn about it, we hope you can implement the relevant Python lexical analysis in tokenizer under the Parser directory. h and tokenizer. cpp content. In Python lexical analysis, tokenizer. h and tokenizer. cpp

The difference between split and Tokenizer

As for the theoretical aspects of the said, you can view the API, now mainly give a few examples to illustrate the difference between: Example one: String sample1= "Ben Ben"; With a 8-space interval between Ben. string[] split1 = Sample1.split (""); Isolate by a space Final listFinal StringTokenizer tokens = new StringTokenizer (Sample1, ""); Results: Split1.length was 9 olines.size as 2 Explanation: If split is separated, he will save the space as a string into the array, and

Analyzer,tokenstream, Tokenizer, tokenfilter in Lucene word breaker

the core class of the word breaker: Analyzer:Word breaker tokenstream: a stream that a word breaker gets when it's done processing. This stream stores the various information of the word breaker, which can be effectively obtained by tokenstream to the word-breaker unit. The following is the process of converting a file stream to a component word flow (Tokenstream)First, through the tokenizer to do word segmentation, different word breakers have differ

Tokenizer. Perl in Moses cannot work properly: tangled "<" and ">" (resolved)

I found that I did not input or output the text. After one night, I finally understood it in the middle of the night: Written in manual: The tokenisation can be run as follows :~ /Mosesdecoder/scripts/tokenizer. Perl-l en The mlgb write is too inaccurate (although it is accurate after careful consideration). I always thought that the ' Tokenizer. Perl in Moses cannot work properly: tangled "

Tokenstream, tokenizer, tokenfilter, tokenstreamcomponents and analyzer in Lucene

Tokenstream extends attributesource implements closeable:Incrementtoken, end, reset, closeTokenizer directly inherits to tokenstream, and its input is a readerTokenfilter also directly inherits tokenstream, but input is a tokenstream.Tokenstreamcomponents encapsulates tokenizer and tokenfilter (or tokenizer, two members are source and sink). You can use setreader and gettokenstream to return the sink.Analyz

Open-source search framework Lucene learning tokenizer (4) -- learning the modifier mode through the word divider source code

abstract class for decoration. It inherits component and extends the functionality of the component class from the external class. Concretedecoratora and concretedecoratorb are specific decorative classes and are responsible for implementing specific decorative duties. Let's take a look at the structure of the entire class of the Word Segmentation module: We can see whether it is the same as the structure chart of the above modifier mode. Tokenstream is an abstract class. We should underst

Boost: tokenizer and boosttokenizer

Boost: tokenizer and boosttokenizer The tokenizer Library provides four predefined word segmentation objects. char_delimiters_separator has been deprecated. The others are as follows:1. char_separator Char_separator has two constructors. 1 char_separator() Use the std: isspace () function to identify the discarded separator, and use std: ispunct () to identify the reserved separator. In addition, empty word

Htmlparser2 # Tokenizer. prototype. _ stateInNamedEntity bug,

Htmlparser2 # Tokenizer. prototype. _ stateInNamedEntity bug, Source: Tokenizer.prototype._stateInNamedEntity = function(c){ if(c === ";"){ this._parseNamedEntityStrict(); if(this._sectionStart + 1 Input: trade_type = xxx, the c is "_", Output: type = xxx Fix: if (c And c! = "=" Do nothing!

Boost::tokenizer detailed

The Tokenizer library provides a predefined four participle objects, where Char_delimiters_separator is deprecated. The others are as follows:1. Char_separatorChar_separator has two constructors1 char_separator ()Use the function std::isspace () to identify the discarded delimiter, and use STD::ISPUNCT () to identify the reserved delimiter. Also, discard blank words. (see Example 2) 1 char_separator (// The delimiter is not preserved 2 const Char

[Boost] boost: tokenizer

The tokenizer Library provides four predefined word segmentation objects. char_delimiters_separator has been deprecated. The others are as follows:1. char_separator Char_separator has two constructors.1. char_separator ()Use the STD: isspace () function to identify the discarded separator, and use STD: ispunct () to identify the reserved separator. In addition, empty words are discarded. (See example 2)2. char_separator (// Unretained SeparatorConst c

Java notes Java tutorial translation preface Java introduction Java Native type Java operators summary Java class Java object Java this use Java class members access control Java method return value Java

Java tutorial translation Sequence Java Introduction Build a JSE development environment-install JDK and eclipse Language basics Java Hello World Program Analysis Variable Java Variables Java Native type Conversion of Java

Java. util. stringtokenizer example

/** @ (#) Teststringtokenizer. java * in package net. outinn. james. codebase. java. util * by James fancy * On 2003-9-27 */package net. outinn. james. codebase. java. util; import Java. util. the stringtokenizer;/*** teststringtokenizer class provides three examples to demonstrate the common usage of the stringtokeniz

Cross-validation principle and spark Mllib use Example (Scala/java/python)

crossvalidator is very high, however, compared with heuristic manual validation, cross-validation is still a very useful parameter selection method in existence. Scala: Import org.apache.spark.ml.Pipeline Import org.apache.spark.ml.classification.LogisticRegression Import Org.apache.spark.ml.evaluation.BinaryClassificationEvaluator import org.apache.spark.ml.feature. {HASHINGTF, tokenizer} import org.apache.spark.ml.linalg.Vector import org.apache.s

Java programming notes 5: stringbuffer and stringtokenizer

Str)Constructs a string tokenizer for the specified string. Stringtokenizer(String STR, string delim)Constructs a string tokenizer for the specified string. Stringtokenizer(String STR, string delim, Boolean returndelims)Constructs a string tokenizer for the specified string. Delim

How can I tell if a string is Java code or an English word?

Consider the following two strings:1.for(int i=02.doin English(nottoa sentence).It's easy to see that the first one is Java code, the second is an English sentence. So how do computer programs differentiate between the two?Java code may not be resolvable because it is a complete method (or declaration or expression), which provides a workaround for this problem. Sometimes the

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