code: def LanguageAnalyzer(
      lang, expression=default_pattern, gaps=False, cachesize=50000
  ):
      """Configures a simple analyzer for the given language, with a
      LowercaseFilter, StopFilter, and StemFilter.
  
      >>> ana = LanguageAnalyzer("es")
      >>> [token.text for token in ana("Por el mar corren las liebres")]
      ['mar', 'corr', 'liebr']
  
      The list of available languages is in `whoosh.lang.languages`.
      You can use :func:`whoosh.lang.has_stemmer` and
      :func:`whoosh.lang.has_stopwords` to check if a given language has a
      stemming function and/or stop word list available.
  
      :param expression: The regular expression pattern to use to extract tokens.
      :param gaps: If True, the tokenizer *splits* on the expression, rather
          than matching on the expression.
      :param cachesize: the maximum number of stemmed words to cache. The larger
          this number, the faster stemming will be but the more memory it will
          use.
      """
  
      from whoosh.lang import NoStemmer, NoStopWords
  
      # Make the start of the chain
      chain = (
          RegexTokenizer(expression=expression, gaps=gaps)
          | LowercaseFilter()
      )
  
      # Add a stop word filter
      try:
          chain = chain | StopFilter(lang=lang)
      except NoStopWords:
          pass
  
      # Add a stemming filter
      try:
          chain = chain | StemFilter(lang=lang, cachesize=cachesize)
      except NoStemmer:
          pass
  
      return chain
  
imports: from whoosh.analysis.acore import Composable, CompositionError
  from whoosh.analysis.tokenizers import Tokenizer
  from whoosh.analysis.filters import LowercaseFilter
  from whoosh.analysis.filters import StopFilter, STOP_WORDS
  from whoosh.analysis.morph import StemFilter
  from whoosh.analysis.intraword import IntraWordFilter
  from whoosh.analysis.tokenizers import default_pattern
  from whoosh.analysis.tokenizers import CommaSeparatedTokenizer
  from whoosh.analysis.tokenizers import IDTokenizer
  from whoosh.analysis.tokenizers import RegexTokenizer
  from whoosh.analysis.tokenizers import SpaceSeparatedTokenizer
  from whoosh.lang.porter import stem
label_desc: Use image node_id 8 for calling a global function with example usage: LanguageAnalyzer(lang, expression, gaps, cachesize) and returns: chain