basabuuka_prototyp/venv/lib/python3.5/site-packages/spacy/lemmatizer.py

# coding: utf8
from __future__ import unicode_literals

from .symbols import POS, NOUN, VERB, ADJ, PUNCT
from .symbols import VerbForm_inf, VerbForm_none, Number_sing, Degree_pos


class Lemmatizer(object):
    @classmethod
    def load(cls, path, index=None, exc=None, rules=None, lookup=None):
        return cls(index, exc, rules, lookup)

    def __init__(self, index=None, exceptions=None, rules=None, lookup=None):
        self.index = index
        self.exc = exceptions
        self.rules = rules
        self.lookup_table = lookup if lookup is not None else {}

    def __call__(self, string, univ_pos, morphology=None):
        if not self.rules:
            return [self.lookup_table.get(string, string)]
        if univ_pos in (NOUN, 'NOUN', 'noun'):
            univ_pos = 'noun'
        elif univ_pos in (VERB, 'VERB', 'verb'):
            univ_pos = 'verb'
        elif univ_pos in (ADJ, 'ADJ', 'adj'):
            univ_pos = 'adj'
        elif univ_pos in (PUNCT, 'PUNCT', 'punct'):
            univ_pos = 'punct'
        else:
            return list(set([string.lower()]))
        # See Issue #435 for example of where this logic is requied.
        if self.is_base_form(univ_pos, morphology):
            return list(set([string.lower()]))
        lemmas = lemmatize(string, self.index.get(univ_pos, {}),
                           self.exc.get(univ_pos, {}),
                           self.rules.get(univ_pos, []))
        return lemmas

    def is_base_form(self, univ_pos, morphology=None):
        """
        Check whether we're dealing with an uninflected paradigm, so we can
        avoid lemmatization entirely.
        """
        morphology = {} if morphology is None else morphology
        others = [key for key in morphology
                  if key not in (POS, 'Number', 'POS', 'VerbForm', 'Tense')]
        if univ_pos == 'noun' and morphology.get('Number') == 'sing':
            return True
        elif univ_pos == 'verb' and morphology.get('VerbForm') == 'inf':
            return True
        # This maps 'VBP' to base form -- probably just need 'IS_BASE'
        # morphology
        elif univ_pos == 'verb' and (morphology.get('VerbForm') == 'fin' and
                                     morphology.get('Tense') == 'pres' and
                                     morphology.get('Number') is None and
                                     not others):
            return True
        elif univ_pos == 'adj' and morphology.get('Degree') == 'pos':
            return True
        elif VerbForm_inf in morphology:
            return True
        elif VerbForm_none in morphology:
            return True
        elif Number_sing in morphology:
            return True
        elif Degree_pos in morphology:
            return True
        else:
            return False

    def noun(self, string, morphology=None):
        return self(string, 'noun', morphology)

    def verb(self, string, morphology=None):
        return self(string, 'verb', morphology)

    def adj(self, string, morphology=None):
        return self(string, 'adj', morphology)

    def punct(self, string, morphology=None):
        return self(string, 'punct', morphology)

    def lookup(self, string):
        if string in self.lookup_table:
            return self.lookup_table[string]
        return string


def lemmatize(string, index, exceptions, rules):
    string = string.lower()
    forms = []
    forms.extend(exceptions.get(string, []))
    oov_forms = []
    if not forms:
        for old, new in rules:
            if string.endswith(old):
                form = string[:len(string) - len(old)] + new
                if not form:
                    pass
                elif form in index or not form.isalpha():
                    forms.append(form)
                else:
                    oov_forms.append(form)
    if not forms:
        forms.extend(oov_forms)
    if not forms:
        forms.append(string)
    return list(set(forms))