Python utils.iteritems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 iteritems [as 別名]
def lists_by_context(self, context, break_on_first=False):
        """Return a generator expression that iterates over all video
        lists with the given context.
        Will match any video lists with type contained in context
        if context is a list."""
        # 'context' may contain a list of multiple contexts or a single
        # 'context' can be passed as a string, convert to simplify code
        if not isinstance(context, list):
            context = [context]

        match_context = ((lambda context, contexts: context in contexts)
                         if isinstance(context, list)
                         else (lambda context, target: context == target))

        # Keep sort order of context list
        lists = {}
        for context_name in context:
            for list_id, video_list in iteritems(self.lists):
                if match_context(video_list['context'], context_name):
                    lists.update({list_id: VideoList(self.data, list_id)})
                    if break_on_first:
                        break
        return iteritems(lists) 

# 需要導入模塊: from future import utils [as 別名]
# 或者: from future.utils import iteritems [as 別名]
def iterate_references(source):
    """Generator expression that iterates over a dictionary of
    index=>reference pairs (sorted in ascending order by indices) until it
    reaches the first empty reference, which signals the end of the reference
    list.
    Items with a key that do not represent an integer are ignored."""
    for index, ref in sorted({int(k): v
                              for k, v in iteritems(source)
                              if common.is_numeric(k)}.items()):
        path = reference_path(ref)
        if path is None:
            break
        if path[0] == 'characters':
            # TODO: Implement handling of character references in Kids profiles
            continue
        yield (index, path) 

# 需要導入模塊: from future import utils [as 別名]
# 或者: from future.utils import iteritems [as 別名]
def _convert_dict_to_listitem(dict_item):
    list_item = xbmcgui.ListItem(label=dict_item['label'], offscreen=True)
    list_item.setContentLookup(False)
    properties = dict_item.get('properties', {})  # 'properties' key allow to set custom properties to xbmcgui.Listitem
    properties['isFolder'] = str(dict_item['is_folder'])

    if not dict_item['is_folder'] and dict_item['media_type'] in [common.VideoId.EPISODE,
                                                                  common.VideoId.MOVIE,
                                                                  common.VideoId.SUPPLEMENTAL]:
        properties.update({
            'IsPlayable': 'true',
            'TotalTime': dict_item.get('TotalTime', ''),
            'ResumeTime': dict_item.get('ResumeTime', '')
        })
    for stream_type, quality_info in iteritems(dict_item.get('quality_info', {})):
        list_item.addStreamInfo(stream_type, quality_info)
    list_item.setProperties(properties)
    list_item.setInfo('video', dict_item.get('info', {}))
    list_item.setArt(dict_item.get('art', {}))
    list_item.addContextMenuItems(dict_item.get('menu_items', []))
    if dict_item.get('is_selected'):
        list_item.select(True)
    return list_item 

# 需要導入模塊: from future import utils [as 別名]
# 或者: from future.utils import iteritems [as 別名]
def elements(self):
        '''Iterator over elements repeating each as many times as its count.

        >>> c = Counter('ABCABC')
        >>> sorted(c.elements())
        ['A', 'A', 'B', 'B', 'C', 'C']

        If an element's count has been set to zero or is a negative number,
        elements() will ignore it.

        '''
        for elem, count in iteritems(self):
            for _ in range(count):
                yield elem

    # Override dict methods where the meaning changes for Counter objects. 

# 需要導入模塊: from future import utils [as 別名]
# 或者: from future.utils import iteritems [as 別名]
def get_entities_iterators(intent_entities, language,
                           add_builtin_entities_examples, random_state):
    from snips_nlu_parsers import get_builtin_entity_examples

    entities_its = dict()
    for entity_name, entity in iteritems(intent_entities):
        utterance_values = random_state.permutation(sorted(entity[UTTERANCES]))
        if add_builtin_entities_examples and is_builtin_entity(entity_name):
            entity_examples = get_builtin_entity_examples(
                entity_name, language)
            # Builtin entity examples must be kept first in the iterator to
            # ensure that they are used when augmenting data
            iterator_values = entity_examples + list(utterance_values)
        else:
            iterator_values = utterance_values
        entities_its[entity_name] = cycle(iterator_values)
    return entities_its 

# 需要導入模塊: from future import utils [as 別名]
# 或者: from future.utils import iteritems [as 別名]
def log_weights(self):
        """Returns a logs for both the label-to-label and label-to-features
         weights"""
        if not self.slot_name_mapping:
            return "No weights to display: intent '%s' has no slots" \
                   % self.intent
        log = ""
        transition_features = self.crf_model.transition_features_
        transition_features = sorted(
            iteritems(transition_features), key=_weight_absolute_value,
            reverse=True)
        log += "\nTransition weights: \n\n"
        for (state_1, state_2), weight in transition_features:
            log += "\n%s %s: %s" % (
                _decode_tag(state_1), _decode_tag(state_2), weight)
        feature_weights = self.crf_model.state_features_
        feature_weights = sorted(
            iteritems(feature_weights), key=_weight_absolute_value,
            reverse=True)
        log += "\n\nFeature weights: \n\n"
        for (feat, tag), weight in feature_weights:
            log += "\n%s %s: %s" % (feat, _decode_tag(tag), weight)
        return log 

# 需要導入模塊: from future import utils [as 別名]
# 或者: from future.utils import iteritems [as 別名]
def feature_index_to_feature_name(self):
        """Maps the feature index of the feature matrix to printable features
        names. Mainly useful for debug.

        Returns:
            dict: a dict mapping feature indices to printable features names
        """
        if not self.fitted:
            return dict()

        index = {
            i: "ngram:%s" % ng
            for ng, i in iteritems(self.tfidf_vectorizer.vocabulary)
        }
        num_ng = len(index)
        if self.cooccurrence_vectorizer is not None:
            for word_pair, j in iteritems(
                    self.cooccurrence_vectorizer.word_pairs):
                index[j + num_ng] = "pair:%s+%s" % (word_pair[0], word_pair[1])
        return index 

# 需要導入模塊: from future import utils [as 別名]
# 或者: from future.utils import iteritems [as 別名]
def persist(self, path):
        path.mkdir()

        builtin_entity_scope = None
        if self.builtin_entity_scope is not None:
            builtin_entity_scope = list(self.builtin_entity_scope)

        self_as_dict = {
            "language_code": self.language,
            "word_pairs": {
                i: list(p) for p, i in iteritems(self.word_pairs)
            },
            "builtin_entity_scope": builtin_entity_scope,
            "config": self.config.to_dict()
        }
        vectorizer_json = json_string(self_as_dict)
        vectorizer_path = path / "vectorizer.json"
        with vectorizer_path.open(mode="w", encoding="utf8") as f:
            f.write(vectorizer_json)
        self.persist_metadata(path) 

# 需要導入模塊: from future import utils [as 別名]
# 或者: from future.utils import iteritems [as 別名]
def from_dict(cls, dict):
        if dict is None:
            return cls()
        params = inspect.signature(cls.__init__).parameters

        if any(p.kind == inspect.Parameter.VAR_KEYWORD for p in
               params.values()):
            return cls(**dict)

        param_names = set()
        for i, (name, param) in enumerate(iteritems(params)):
            if i == 0 and name == "self":
                continue
            if param.kind in KEYWORD_KINDS:
                param_names.add(name)
        filtered_dict = {k: v for k, v in iteritems(dict) if k in param_names}
        return cls(**filtered_dict) 

# 需要導入模塊: from future import utils [as 別名]
# 或者: from future.utils import iteritems [as 別名]
def to_dict(self):
        """Returns a json-serializable dict"""
        stop_words_whitelist = None
        if self._stop_words_whitelist is not None:
            stop_words_whitelist = {
                intent: sorted(values)
                for intent, values in iteritems(self._stop_words_whitelist)}
        return {
            "config": self.config.to_dict(),
            "language_code": self.language,
            "map": self._map,
            "slots_names": self._slots_names,
            "intents_names": self._intents_names,
            "entity_scopes": self._entity_scopes,
            "stop_words_whitelist": stop_words_whitelist,
        } 

# 需要導入模塊: from future import utils [as 別名]
# 或者: from future.utils import iteritems [as 別名]
def frameAllNodes(self):
        allnodes = []
        for name, node in iteritems(self.__nodes):
            allnodes.append(node)
        self.frameNodes(allnodes) 

# 需要導入模塊: from future import utils [as 別名]
# 或者: from future.utils import iteritems [as 別名]
def _to_xml(self, xml, data):
        if isinstance(data, (list, tuple)):
            for item in data:
                xml.startElement("row", {})
                self._to_xml(xml, item)
                xml.endElement("row")
        elif isinstance(data, dict):
            for key, value in iteritems(data):
                key = key.replace(' ', '_')
                xml.startElement(key, {})
                self._to_xml(xml, value)
                xml.endElement(key)
        else:
            xml.characters(smart_text(data)) 

# 需要導入模塊: from future import utils [as 別名]
# 或者: from future.utils import iteritems [as 別名]
def load_cfg(cfg_to_load):
    """Wrapper around yaml.load used for maintaining backward compatibility"""
    file_types = [file, io.IOBase] if six.PY2 else [io.IOBase]  # noqa false positive
    expected_types = tuple(file_types + list(six.string_types))
    assert isinstance(cfg_to_load, expected_types), \
        'Expected one of {}, got {}'.format(expected_types, type(cfg_to_load))
    if isinstance(cfg_to_load, tuple(file_types)):
        cfg_to_load = ''.join(cfg_to_load.readlines())
    for old_module, new_module in iteritems(_RENAMED_MODULES):
        # yaml object encoding: !!python/object/new:<module>.<object>
        old_module, new_module = 'new:' + old_module, 'new:' + new_module
        cfg_to_load = cfg_to_load.replace(old_module, new_module)
    # Import inline due to a circular dependency between env.py and config.py
    import detectron.utils.env as envu
    return envu.yaml_load(cfg_to_load) 

# 需要導入模塊: from future import utils [as 別名]
# 或者: from future.utils import iteritems [as 別名]
def parse_params(indict, *specs):
    if not specs:
        specs = [NIF_PARAMS]
    logger.debug("Parsing: {}\n{}".format(indict, specs))
    outdict = indict.copy()
    wrong_params = {}
    for spec in specs:
        for param, options in iteritems(spec):
            for alias in options.get("aliases", []):
                # Replace each alias with the correct name of the parameter
                if alias in indict and alias != param:
                    outdict[param] = indict[alias]
                    del outdict[alias]
                    break
            if param not in outdict:
                if "default" in options:
                    # We assume the default is correct
                    outdict[param] = options["default"]
                elif options.get("required", False):
                    wrong_params[param] = spec[param]
                continue
            if 'processor' in options:
                outdict[param] = processors[options['processor']](outdict[param])
            if "options" in options:
                if options["options"] == boolean:
                    outdict[param] = str(outdict[param]).lower() in ['true', '1', '']
                elif outdict[param] not in options["options"]:
                    wrong_params[param] = spec[param]
    if wrong_params:
        logger.debug("Error parsing: %s", wrong_params)
        message = Error(
            status=400,
            message='Missing or invalid parameters',
            parameters=outdict,
            errors=wrong_params)
        raise message
    return outdict 

# 需要導入模塊: from future import utils [as 別名]
# 或者: from future.utils import iteritems [as 別名]
def run_device_tensor_initializations(self):
        for device_tensor_view, host_tensor in iteritems(self.device_initializations):
            device_tensor_view[()] = host_tensor
        self.device_initializations = dict()