(self, value)
return iter(sorted(set(words)))
Returns an iterator of each unique word (in sorted order) in the
        input value, suitable for inclusion in the field's word graph.

        The default behavior is to call the field analyzer with the keyword
        argument ``no_morph=True``, which should make the analyzer skip any
        morphological transformation filters (e.g. stemming) to preserve the
        original form of the words. Exotic field types may need to override
        this behavior.
Returns an iterator of each unique word (in sorted order) in the
        input value, suitable for inclusion in the field's word graph.
Returns an iterator of each unique word ( in sorted order ) in the input value suitable for inclusion in the field s word graph .
def spellable_words(self, value):
        """Returns an iterator of each unique word (in sorted order) in the
        input value, suitable for inclusion in the field's word graph.

        The default behavior is to call the field analyzer with the keyword
        argument ``no_morph=True``, which should make the analyzer skip any
        morphological transformation filters (e.g. stemming) to preserve the
        original form of the words. Exotic field types may need to override
        this behavior.
        """

        if isinstance(value, (list, tuple)):
            words = value
        else:
            words = [token.text for token
                     in self.analyzer(value, no_morph=True)]

        return iter(sorted(set(words)))
def spellable_words ( self , value ) : if isinstance ( value , ( list , tuple ) ) : words = value else : words = [ token . text for token in self . analyzer ( value , no_morph = True ) ] return iter ( sorted ( set ( words ) ) )