input: Write a python function to filter stop words from a given text.
  assert filter_stop_words("This is a simple test sentence.") == "This simple test sentence ."
  assert filter_stop_words("NLTK is a leading platform for building Python programs to work with human language data.") == "NLTK leading platform building Python programs work human language data ."
  assert filter_stop_words("Stop words are common words that usually do not carry significant meaning.") == "Stop words common words usually carry significant meaning ."
output: def filter_stop_words(text):
      stop_words = set(["is", "a", "for", "to", "with", "that", "do", "not", "are", "and"])
      words = text.split()
      filtered_words = [word for word in words if word.lower() not in stop_words]
      return " ".join(filtered_words)