com.telenav.mesakit.graph.query.antlr.GraphQueryLexer Maven / Gradle / Ivy
// Generated from com/telenav/mesakit/graph/query/antlr/GraphQuery.g4 by ANTLR 4.9.2
package com.telenav.mesakit.graph.query.antlr;
import org.antlr.v4.runtime.Lexer;
import org.antlr.v4.runtime.CharStream;
import org.antlr.v4.runtime.Token;
import org.antlr.v4.runtime.TokenStream;
import org.antlr.v4.runtime.*;
import org.antlr.v4.runtime.atn.*;
import org.antlr.v4.runtime.dfa.DFA;
import org.antlr.v4.runtime.misc.*;
@SuppressWarnings({"all", "warnings", "unchecked", "unused", "cast"})
public class GraphQueryLexer extends Lexer {
static { RuntimeMetaData.checkVersion("4.9.2", RuntimeMetaData.VERSION); }
protected static final DFA[] _decisionToDFA;
protected static final PredictionContextCache _sharedContextCache =
new PredictionContextCache();
public static final int
T__0=1, T__1=2, T__2=3, T__3=4, T__4=5, T__5=6, T__6=7, T__7=8, T__8=9,
T__9=10, T__10=11, T__11=12, SELECT=13, NOT=14, ONE_OR_MORE=15, OPEN_PARENTHESIS=16,
CLOSE_PARENTHESIS=17, CONTAINS=18, THEN=19, BOOLEAN=20, AND=21, OR=22,
EQUAL=23, NOT_EQUAL=24, GREATER_THAN=25, LESS_THAN=26, GREATER_THAN_OR_EQUAL=27,
LESS_THAN_OR_EQUAL=28, ATTRIBUTE_NAME=29, STRING=30, DOUBLE=31, INT=32,
SP=33;
public static String[] channelNames = {
"DEFAULT_TOKEN_CHANNEL", "HIDDEN"
};
public static String[] modeNames = {
"DEFAULT_MODE"
};
private static String[] makeRuleNames() {
return new String[] {
"T__0", "T__1", "T__2", "T__3", "T__4", "T__5", "T__6", "T__7", "T__8",
"T__9", "T__10", "T__11", "SELECT", "NOT", "ONE_OR_MORE", "OPEN_PARENTHESIS",
"CLOSE_PARENTHESIS", "CONTAINS", "THEN", "BOOLEAN", "AND", "OR", "EQUAL",
"NOT_EQUAL", "GREATER_THAN", "LESS_THAN", "GREATER_THAN_OR_EQUAL", "LESS_THAN_OR_EQUAL",
"ATTRIBUTE_NAME", "ATTRIBUTE_NAME_CHAR", "DIGIT", "ALPHA", "STRING",
"VERTEX", "ESC", "UNICODE", "HEX", "DOUBLE", "INT", "SP"
};
}
public static final String[] ruleNames = makeRuleNames();
private static String[] makeLiteralNames() {
return new String[] {
null, "'inch'", "'inches'", "'feet'", "'meter'", "'meters'", "'kilometer'",
"'kilometers'", "'mile'", "'miles'", "'kph'", "'mph'", "'msec'", "'select'",
null, "'+'", "'('", "')'", "'contains'", "'then'", null, null, null,
null, "'!='", "'>'", "'<'", "'>='", "'<='", null, null, null, null, "' '"
};
}
private static final String[] _LITERAL_NAMES = makeLiteralNames();
private static String[] makeSymbolicNames() {
return new String[] {
null, null, null, null, null, null, null, null, null, null, null, null,
null, "SELECT", "NOT", "ONE_OR_MORE", "OPEN_PARENTHESIS", "CLOSE_PARENTHESIS",
"CONTAINS", "THEN", "BOOLEAN", "AND", "OR", "EQUAL", "NOT_EQUAL", "GREATER_THAN",
"LESS_THAN", "GREATER_THAN_OR_EQUAL", "LESS_THAN_OR_EQUAL", "ATTRIBUTE_NAME",
"STRING", "DOUBLE", "INT", "SP"
};
}
private static final String[] _SYMBOLIC_NAMES = makeSymbolicNames();
public static final Vocabulary VOCABULARY = new VocabularyImpl(_LITERAL_NAMES, _SYMBOLIC_NAMES);
/**
* @deprecated Use {@link #VOCABULARY} instead.
*/
@Deprecated
public static final String[] tokenNames;
static {
tokenNames = new String[_SYMBOLIC_NAMES.length];
for (int i = 0; i < tokenNames.length; i++) {
tokenNames[i] = VOCABULARY.getLiteralName(i);
if (tokenNames[i] == null) {
tokenNames[i] = VOCABULARY.getSymbolicName(i);
}
if (tokenNames[i] == null) {
tokenNames[i] = "";
}
}
}
@Override
@Deprecated
public String[] getTokenNames() {
return tokenNames;
}
@Override
public Vocabulary getVocabulary() {
return VOCABULARY;
}
public GraphQueryLexer(CharStream input) {
super(input);
_interp = new LexerATNSimulator(this,_ATN,_decisionToDFA,_sharedContextCache);
}
@Override
public String getGrammarFileName() { return "GraphQuery.g4"; }
@Override
public String[] getRuleNames() { return ruleNames; }
@Override
public String getSerializedATN() { return _serializedATN; }
@Override
public String[] getChannelNames() { return channelNames; }
@Override
public String[] getModeNames() { return modeNames; }
@Override
public ATN getATN() { return _ATN; }
public static final String _serializedATN =
"\3\u608b\ua72a\u8133\ub9ed\u417c\u3be7\u7786\u5964\2#\u0138\b\1\4\2\t"+
"\2\4\3\t\3\4\4\t\4\4\5\t\5\4\6\t\6\4\7\t\7\4\b\t\b\4\t\t\t\4\n\t\n\4\13"+
"\t\13\4\f\t\f\4\r\t\r\4\16\t\16\4\17\t\17\4\20\t\20\4\21\t\21\4\22\t\22"+
"\4\23\t\23\4\24\t\24\4\25\t\25\4\26\t\26\4\27\t\27\4\30\t\30\4\31\t\31"+
"\4\32\t\32\4\33\t\33\4\34\t\34\4\35\t\35\4\36\t\36\4\37\t\37\4 \t \4!"+
"\t!\4\"\t\"\4#\t#\4$\t$\4%\t%\4&\t&\4\'\t\'\4(\t(\4)\t)\3\2\3\2\3\2\3"+
"\2\3\2\3\3\3\3\3\3\3\3\3\3\3\3\3\3\3\4\3\4\3\4\3\4\3\4\3\5\3\5\3\5\3\5"+
"\3\5\3\5\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\7\3\7\3\7\3\7\3\7\3\7\3\7\3\7\3"+
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"\3\n\3\n\3\n\3\n\3\n\3\n\3\13\3\13\3\13\3\13\3\f\3\f\3\f\3\f\3\r\3\r\3"+
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")\26+\27-\30/\31\61\32\63\33\65\34\67\359\36;\37=\2?\2A\2C E\2G\2I\2K"+
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"\u0113\u0114\7z\2\2\u0114F\3\2\2\2\u0115\u0118\7^\2\2\u0116\u0119\t\5"+
"\2\2\u0117\u0119\5I%\2\u0118\u0116\3\2\2\2\u0118\u0117\3\2\2\2\u0119H"+
"\3\2\2\2\u011a\u011b\7w\2\2\u011b\u011c\5K&\2\u011c\u011d\5K&\2\u011d"+
"\u011e\5K&\2\u011e\u011f\5K&\2\u011fJ\3\2\2\2\u0120\u0121\t\6\2\2\u0121"+
"L\3\2\2\2\u0122\u0124\7/\2\2\u0123\u0122\3\2\2\2\u0123\u0124\3\2\2\2\u0124"+
"\u0125\3\2\2\2\u0125\u0126\5O(\2\u0126\u0128\7\60\2\2\u0127\u0129\t\7"+
"\2\2\u0128\u0127\3\2\2\2\u0129\u012a\3\2\2\2\u012a\u0128\3\2\2\2\u012a"+
"\u012b\3\2\2\2\u012bN\3\2\2\2\u012c\u0135\7\62\2\2\u012d\u0131\t\b\2\2"+
"\u012e\u0130\t\7\2\2\u012f\u012e\3\2\2\2\u0130\u0133\3\2\2\2\u0131\u012f"+
"\3\2\2\2\u0131\u0132\3\2\2\2\u0132\u0135\3\2\2\2\u0133\u0131\3\2\2\2\u0134"+
"\u012c\3\2\2\2\u0134\u012d\3\2\2\2\u0135P\3\2\2\2\u0136\u0137\7\"\2\2"+
"\u0137R\3\2\2\2\24\2\u00aa\u00c9\u00d0\u00d6\u00db\u00ee\u00f4\u00fd\u00ff"+
"\u0106\u0108\u010c\u0118\u0123\u012a\u0131\u0134\2";
public static final ATN _ATN =
new ATNDeserializer().deserialize(_serializedATN.toCharArray());
static {
_decisionToDFA = new DFA[_ATN.getNumberOfDecisions()];
for (int i = 0; i < _ATN.getNumberOfDecisions(); i++) {
_decisionToDFA[i] = new DFA(_ATN.getDecisionState(i), i);
}
}
} © 2015 - 2025 Weber Informatics LLC | Privacy Policy