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How to use normalize_tags method in Behave

Best Python code snippet using behave

demo_rec.py

Source:demo_rec.py

...47    relevance_index = debtags.relevance_index_function(debtags_db, relevant_db)48    sorted_relevant_tags = sorted(relevant_db.iter_tags(),49                                  lambda a, b: cmp(relevance_index(a),50                                                   relevance_index(b)))51    return normalize_tags(' '.join(sorted_relevant_tags[-50:]))52def normalize_tags(string):53    """ Normalize tag string so that it can be indexed and retrieved. """54    return string.replace(':', '_').replace('-', '\'')55def create_debtags_index(debtags_db, index_path):56    """ Create a xapian index for debtags info based on file 'debtags_db' and57    place it at 'index_path'.58    """59    if not os.path.exists(index_path):60        os.makedirs(index_path)61    print "Creating new debtags xapian index at \'%s\'" % index_path62    debtags_index = xapian.WritableDatabase(index_path,63                                            xapian.DB_CREATE_OR_OVERWRITE)64    for pkg, tags in debtags_db.iter_packages_tags():65        doc = xapian.Document()66        doc.set_data(pkg)67        for tag in tags:68            doc.add_term(normalize_tags(tag))69        print "indexing ", debtags_index.add_document(doc)70    return debtags_index71def load_debtags_index(debtags_db, reindex):72    """ Load an existing or new debtags index, based on boolean reindex. """73    if not reindex:74        try:75            print ("Opening existing debtags xapian index at \'%s\'" %76                   INDEX_PATH)77            debtags_index = xapian.Database(INDEX_PATH)78        except xapian.DatabaseError:79            print "Could not open debtags xapian index"80            reindex = 181    if reindex:82        debtags_index = create_debtags_index(debtags_db, INDEX_PATH)...

make_categories.py

Source:make_categories.py

...36hierarchy      ['Roshambo'] = []37hierarchy  ['Stories'] = []38hierarchy  ['The Attic'] = []39hierarchy  ['Tutorials'] = []40def normalize_tags(tag):41  result = []42  for key in hierarchy[tag]:43    result.extend(normalize_tags(key))44  result.insert(0, tag)45  return result46category_tags = {}47for key in hierarchy:48  category_tags[key] = ', '.join(normalize_tags(key))49filenames = glob.glob(post_dir + '*html')50all_post_categories = []51# Add all categories, even if they're empty52for key in hierarchy:53    all_post_categories.append(key)54# Add all the categories in all the posts55#for filename in filenames:56#    f = open(filename, 'r')57#    docs = yaml.safe_load_all(f)58#    post_data = next(docs)59#    file_categories = post_data['categories']60#    all_post_categories.extend(file_categories)61#    f.close()62#all_post_categories = set(all_post_categories)...

NormalizeTags.py

Source:NormalizeTags.py

...24            raise InvalidParameterValueError(25                self.__class__.__name__, "case", case, "Supported cases: lowercase, uppercase, titlecase."26            )27    def visit_Tags(self, node):  # noqa28        return self.normalize_tags(node, Tags, indent=True)29    def visit_DefaultTags(self, node):  # noqa30        return self.normalize_tags(node, DefaultTags)31    def visit_ForceTags(self, node):  # noqa32        return self.normalize_tags(node, ForceTags)33    def normalize_tags(self, node, tag_class, indent=False):34        tags = [tag.value for tag in node.data_tokens[1:]]35        if self.normalize_case:36            tags = self.convert_case(tags)37        tags = self.remove_duplicates(tags)38        comments = node.get_tokens(Token.COMMENT)39        if indent:40            tag_node = tag_class.from_params(41                tags,42                indent=self.formatting_config.separator,43                separator=self.formatting_config.separator,44            )45        else:46            tag_node = tag_class.from_params(tags, separator=self.formatting_config.separator)47        if comments:...

parser.py

Source:parser.py

...28        self.sentence = sentence29    def tokenize_sentence(self, sentence):30        tokens = nltk.word_tokenize(sentence)31        return tokens32    def normalize_tags(self, tagged):33        n_tagged = []34        for t in tagged:35            if t[1] == "NP-TL" or t[1] == "NP":36                n_tagged.append((t[0], "NNP"))37                continue38            if t[1].endswith("-TL"):39                n_tagged.append((t[0], t[1][:-3]))40                continue41            if t[1].endswith("S"):42                n_tagged.append((t[0], t[1][:-1]))43                continue44            n_tagged.append((t[0], t[1]))45        return n_tagged46    def extract(self):47        tokens = self.tokenize_sentence(self.sentence)48        tags = self.normalize_tags(bigram_tagger.tag(tokens))49        merge = True50        while merge:51            merge = False52            for x in range(0, len(tags) - 1):53                t1 = tags[x]54                t2 = tags[x + 1]55                key = "%s+%s" % (t1[1], t2[1])56                value = cfg.get(key, '')57                if value:58                    merge = True59                    tags.pop(x)60                    tags.pop(x)61                    match = "%s %s" % (t1[0], t2[0])62                    pos = value...

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