Java的StreamTokenizer在识别数字方面似乎过于贪心。配置选项相对较轻,我还没有找到办法让它做我想做的事。以下测试通过,IMO显示实施中的错误;我真正喜欢的是将第二个标记识别为单词“20001_to_30000”。有任何想法吗?
public void testBrokenTokenizer()
throws Exception
{
final String query = "foo_bah 20001_to_30000";
StreamTokenizer tok = new StreamTokenizer(new StringReader(query));
tok.wordChars('_', '_');
assertEquals(tok.nextToken(), StreamTokenizer.TT_WORD);
assertEquals(tok.sval, "foo_bah");
assertEquals(tok.nextToken(), StreamTokenizer.TT_NUMBER);
assertEquals(tok.nval, 20001.0);
assertEquals(tok.nextToken(), StreamTokenizer.TT_WORD);
assertEquals(tok.sval, "_to_30000");
}
FWIW我可以使用StringTokenizer,但它需要大量的重构。
答案 0 :(得分:0)
IMO,最好的解决方案是使用扫描仪,但是如果你想迫使古老的StreamTokenizer为你工作,请尝试以下方法:
import java.util.regex.*;
...
final String query = "foo_bah 20001_to_30000\n2.001 this is line number 2 blargh";
StreamTokenizer tok = new StreamTokenizer(new StringReader(query));
// recreate standard syntax table
tok.resetSyntax();
tok.whitespaceChars('\u0000', '\u0020');
tok.wordChars('a', 'z');
tok.wordChars('A', 'Z');
tok.wordChars('\u00A0', '\u00FF');
tok.commentChar('/');
tok.quoteChar('\'');
tok.quoteChar('"');
tok.eolIsSignificant(false);
tok.slashSlashComments(false);
tok.slashStarComments(false);
//tok.parseNumbers(); // this WOULD be part of the standard syntax
// syntax additions
tok.wordChars('0', '9');
tok.wordChars('.', '.');
tok.wordChars('_', '_');
// create regex to verify numeric conversion in order to avoid having
// to catch NumberFormatException errors from Double.parseDouble()
Pattern double_regex = Pattern.compile("[-+]?[0-9]*\\.?[0-9]+([eE][-+]?[0-9]+)?");
try {
int type = StreamTokenizer.TT_WORD;
while (type != StreamTokenizer.TT_EOF) {
type = tok.nextToken();
if (type == StreamTokenizer.TT_WORD) {
String str = tok.sval;
Matcher regex_match = double_regex.matcher(str);
if (regex_match.matches()) { // NUMBER
double val = Double.parseDouble(str);
System.out.println("double = " + val);
}
else { // WORD
System.out.println("string = " + str);
}
}
}
}
catch (IOException err) {
err.printStackTrace();
}
基本上,您正在从StreamTokenizer卸载数值的标记化。正则表达式匹配是为了避免依赖NumericFormatException来告诉您Double.parseDouble()不能对给定的令牌起作用。