PyLucene custom char Tokenizer, Analyzer

example.py

from org.apache.pylucene.analysis import PythonAnalyzer, PythonCharTokenizer
from org.apache.lucene.analysis import Analyzer
from org.apache.lucene.analysis.core import LowerCaseTokenizer, LowerCaseFilter, StopAnalyzer, StopFilter

class LucTokenizer(PythonCharTokenizer):
    def __init__(self, version, input):
        PythonCharTokenizer.__init__(self, version, input)

    def isTokenChar(self, c):
        return c >= 48 and c <= 57 or c >=65 and c <= 90 or c >=97 and c <=122

    # lowercase!
    def normalize(self, c):
        if c >= 65 and c <= 90:
            return c + 32
        else:
            return c

class LucAnalyzer(PythonAnalyzer):
    def __init__(self, version):
        PythonAnalyzer.__init__(self, version)

    def createComponents(self, field, reader):
        tokenizer = LucTokenizer(Version.LUCENE_CURRENT, reader)
        last = StopFilter(Version.LUCENE_CURRENT, tokenizer, StopAnalyzer.ENGLISH_STOP_WORDS_SET)
        return Analyzer.TokenStreamComponents(tokenizer, last)