Python utils.itervalues方法代碼示例

# 需要導入模塊: from future import utils [as 別名]
# 或者: from future.utils import itervalues [as 別名]
def __init__(self, path_response, list_id=None):
        # common.debug('VideoList data: {}', path_response)
        self.perpetual_range_selector = path_response.get('_perpetual_range_selector')
        self.data = path_response
        has_data = bool(path_response.get('lists'))
        self.videos = OrderedDict()
        self.artitem = None
        self.contained_titles = None
        self.videoids = None
        if has_data:
            # Generate one videoid, or from the first id of the list or with specified one
            self.videoid = common.VideoId(
                videoid=(list_id
                         if list_id
                         else next(iter(self.data['lists']))))
            self.videos = OrderedDict(resolve_refs(self.data['lists'][self.videoid.value], self.data))
            if self.videos:
                # self.artitem = next(itervalues(self.videos))
                self.artitem = listvalues(self.videos)[0]
                self.contained_titles = _get_titles(self.videos)
                try:
                    self.videoids = _get_videoids(self.videos)
                except KeyError:
                    self.videoids = None 

# 需要導入模塊: from future import utils [as 別名]
# 或者: from future.utils import itervalues [as 別名]
def __iter__(self):
    for value in itervalues(self._backing):
      yield value 

# 需要導入模塊: from future import utils [as 別名]
# 或者: from future.utils import itervalues [as 別名]
def added(self):
    return itervalues(self._added) 

# 需要導入模塊: from future import utils [as 別名]
# 或者: from future.utils import itervalues [as 別名]
def removed(self):
    return itervalues(self._removed) 

# 需要導入模塊: from future import utils [as 別名]
# 或者: from future.utils import itervalues [as 別名]
def get_available_audio_languages():
    """Get the list of available audio languages of videos"""
    call_args = {
        'paths': [['spokenAudioLanguages', {'from': 0, 'to': 25}, ['id', 'name']]]
    }
    response = common.make_call('path_request', call_args)
    lang_list = {}
    for lang_dict in itervalues(response.get('spokenAudioLanguages', {})):
        lang_list[lang_dict['id']] = lang_dict['name']
    return lang_list 

# 需要導入模塊: from future import utils [as 別名]
# 或者: from future.utils import itervalues [as 別名]
def get_available_subtitles_languages():
    """Get the list of available subtitles languages of videos"""
    call_args = {
        'paths': [['subtitleLanguages', {'from': 0, 'to': 25}, ['id', 'name']]]
    }
    response = common.make_call('path_request', call_args)
    lang_list = {}
    for lang_dict in itervalues(response.get('subtitleLanguages', {})):
        lang_list[lang_dict['id']] = lang_dict['name']
    return lang_list 

# 需要導入模塊: from future import utils [as 別名]
# 或者: from future.utils import itervalues [as 別名]
def _get_titles(videos):
    """Return a list of videos' titles"""
    return [_get_title(video)
            for video in itervalues(videos)
            if _get_title(video)] 

# 需要導入模塊: from future import utils [as 別名]
# 或者: from future.utils import itervalues [as 別名]
def _get_videoids(videos):
    """Return a list of VideoId s for the videos"""
    return [common.VideoId.from_videolist_item(video)
            for video in itervalues(videos)] 

# 需要導入模塊: from future import utils [as 別名]
# 或者: from future.utils import itervalues [as 別名]
def _parse_tags(item):
    """Parse the tags"""
    return {'tag': [tagdef['name']
                    for tagdef
                    in itervalues(item.get('tags', {}))
                    if isinstance(tagdef.get('name', {}), unicode)]} 

# 需要導入模塊: from future import utils [as 別名]
# 或者: from future.utils import itervalues [as 別名]
def clear(self):
        'od.clear() -> None.  Remove all items from od.'
        try:
            for node in itervalues(self.__map):
                del node[:]
            root = self.__root
            root[:] = [root, root, None]
            self.__map.clear()
        except AttributeError:
            pass
        dict.clear(self) 

# 需要導入模塊: from future import utils [as 別名]
# 或者: from future.utils import itervalues [as 別名]
def itervalues(self):
        'od.itervalues -> an iterator over the values in od'
        for k in self:
            yield self[k] 

# 需要導入模塊: from future import utils [as 別名]
# 或者: from future.utils import itervalues [as 別名]
def categorize_columns(self):
        self.partition_cols = []
        self.clustering_cols = []
        self.regular_cols = []
        self.static_cols = []

        for i in itervalues(self.columns):
            if i.cql_type == "partition_key":
                self.partition_cols.append(i)
                next
            if i.cql_type == "clustering_key":
                self.clustering_cols.append(i)
                next
            if i.cql_type == "regular":
                self.regular_cols.append(i)
                next
            if i.cql_type == "static":
                self.static_cols.append(i)
                next

        self.partition_cols = self.sort_columns(self.partition_cols)
        self.clustering_cols = self.sort_columns(self.clustering_cols, reverse=True)
        cluster_str = self.regular_cols
        for i in self.clustering_cols:
            cluster_str = [i, cluster_str]

        #partition_cols = paste([i.name for i in partition_cols])

        return self.partition_cols,[cluster_str, self.static_cols]

#TODO utilize TableMeta.describe to implement the same thing for keyspaces 

# 需要導入模塊: from future import utils [as 別名]
# 或者: from future.utils import itervalues [as 別名]
def extract_utterance_entities(dataset):
    entities_values = {ent_name: set() for ent_name in dataset[ENTITIES]}

    for intent in itervalues(dataset[INTENTS]):
        for utterance in intent[UTTERANCES]:
            for chunk in utterance[DATA]:
                if ENTITY in chunk:
                    entities_values[chunk[ENTITY]].add(chunk[TEXT].strip())
    return {k: list(v) for k, v in iteritems(entities_values)} 

# 需要導入模塊: from future import utils [as 別名]
# 或者: from future.utils import itervalues [as 別名]
def get_intents(self, text):
        """Performs intent classification on the provided *text* and returns
        the list of intents ordered by decreasing probability

        The length of the returned list is exactly the number of intents in the
        dataset + 1 for the None intent

        .. note::

            The probabilities returned along with each intent are not
            guaranteed to sum to 1.0. They should be considered as scores
            between 0 and 1.
        """
        results = None
        for parser in self.intent_parsers:
            parser_results = parser.get_intents(text)
            if results is None:
                results = {res[RES_INTENT_NAME]: res for res in parser_results}
                continue

            for res in parser_results:
                intent = res[RES_INTENT_NAME]
                proba = max(res[RES_PROBA], results[intent][RES_PROBA])
                results[intent][RES_PROBA] = proba

        return sorted(itervalues(results), key=lambda res: -res[RES_PROBA]) 

# 需要導入模塊: from future import utils [as 別名]
# 或者: from future.utils import itervalues [as 別名]
def remove_builtin_slots(dataset):
    filtered_dataset = deepcopy(dataset)
    for intent_data in itervalues(filtered_dataset[INTENTS]):
        for utterance in intent_data[UTTERANCES]:
            utterance[DATA] = [
                chunk for chunk in utterance[DATA]
                if ENTITY not in chunk or not is_builtin_entity(chunk[ENTITY])]
    return filtered_dataset