Python typing.DefaultDict方法代碼示例

# 需要導入模塊: import typing [as 別名]
# 或者: from typing import DefaultDict [as 別名]
def __init__(self, name: str, channel_service, peer_id, channel_name, store_identity):
        self.__channel_service: ChannelService = channel_service
        self.__channel_name = channel_name
        self.__pre_validate_strategy = self.__pre_validate
        self.__peer_id = peer_id

        self.__tx_queue = AgingCache(max_age_seconds=conf.MAX_TX_QUEUE_AGING_SECONDS,
                                     default_item_status=TransactionStatusInQueue.normal)
        self.blockchain = BlockChain(channel_name, store_identity, self)
        self.__peer_type = None
        self.__consensus_algorithm = None
        self.candidate_blocks = CandidateBlocks(self.blockchain)
        self.__block_height_sync_bad_targets = {}
        self.__block_height_sync_lock = threading.Lock()
        self.__block_height_thread_pool = ThreadPoolExecutor(1, 'BlockHeightSyncThread')
        self.__block_height_future: Future = None
        self.__precommit_block: Block = None
        self.set_peer_type(loopchain_pb2.PEER)
        self.name = name
        self.__service_status = status_code.Service.online

        # old_block_hashes[height][new_block_hash] = old_block_hash
        self.__old_block_hashes: DefaultDict[int, Dict[Hash32, Hash32]] = defaultdict(dict)
        self.epoch: Epoch = None 

# 需要導入模塊: import typing [as 別名]
# 或者: from typing import DefaultDict [as 別名]
def _busiest_week(feed: Feed) -> Dict[datetime.date, FrozenSet[str]]:
    service_ids_by_date = _service_ids_by_date(feed)
    trip_counts_by_date = _trip_counts_by_date(feed)

    weekly_trip_counts: DefaultDict[Week, int] = defaultdict(int)
    weekly_dates: DefaultDict[Week, Set[datetime.date]] = defaultdict(set)
    for date in service_ids_by_date.keys():
        key = Week.withdate(date)
        weekly_trip_counts[key] += trip_counts_by_date[date]
        weekly_dates[key].add(date)

    def max_by(kv: Tuple[Week, int]) -> Tuple[int, int]:
        week, count = kv
        return count, -week.toordinal()

    week, _ = max(weekly_trip_counts.items(), key=max_by)
    dates = sorted(weekly_dates[week])

    return {date: service_ids_by_date[date] for date in dates} 

# 需要導入模塊: import typing [as 別名]
# 或者: from typing import DefaultDict [as 別名]
def _get_table_cells(table: Table) -> DefaultDict[Cell, List[Sentence]]:
    """Cache table cells and the cells' sentences.

    This function significantly improves the speed of `get_row_ngrams`
    primarily by reducing the number of queries that are made (which were
    previously the bottleneck. Rather than taking a single mention, then its
    sentence, then its table, then all the cells in the table, then all the
    sentences in each cell, and performing operations on that series of
    queries, this performs a single query for all the sentences in a table and
    returns all of the cells and the cells sentences directly.

    :param table: the Table object to cache.
    :return: an iterator of (Cell, [Sentence._asdict(), ...]) tuples.
    """
    sent_map: DefaultDict[Cell, List[Sentence]] = defaultdict(list)
    for sent in table.sentences:
        sent_map[sent.cell].append(sent)
    return sent_map 

# 需要導入模塊: import typing [as 別名]
# 或者: from typing import DefaultDict [as 別名]
def load_parents() -> DefaultDict[str, Set[str]]:
    ''' Generates a dictionary with child to parent mapping. '''
    def recursive_parse(parents: DefaultDict[str, Set[str]], node: Any) -> None:
        name = node['LabelName']

        if 'Subcategory' in node:
            for child in node['Subcategory']:
                child_name = child['LabelName']

                if name != '/m/0bl9f':
                    parents[child_name].add(name)
                    parents[child_name].update(parents[name])

                recursive_parse(parents, child)

    with open('../data/challenge-2019-label500-hierarchy.json') as f:
        hierarchy = json.load(f)

    parents: DefaultDict[str, Set[str]] = defaultdict(set)
    recursive_parse(parents, hierarchy)

    return parents 

# 需要導入模塊: import typing [as 別名]
# 或者: from typing import DefaultDict [as 別名]
def _aggregate_losses(self) -> Metrics:
        """Calculate the task specific loss, average micro loss and learning rate."""

        metric_dict = dict()

        # Log task specific loss
        self.running_losses: DefaultDict[str, float]
        self.running_counts: DefaultDict[str, float]
        for identifier in self.running_losses.keys():
            if self.running_counts[identifier] > 0:
                metric_dict[identifier] = (
                    self.running_losses[identifier] / self.running_counts[identifier]
                )

        # Calculate average micro loss
        total_loss = sum(self.running_losses.values())
        total_count = sum(self.running_counts.values())
        if total_count > 0:
            metric_dict["model/all/train/loss"] = total_loss / total_count

        # Log the learning rate
        metric_dict["model/all/train/lr"] = self.optimizer.param_groups[0]["lr"]

        return metric_dict 

# 需要導入模塊: import typing [as 別名]
# 或者: from typing import DefaultDict [as 別名]
def get_borg_eval_gist(self, pr: Dict[str, Any]) -> Optional[Dict[str, Set[str]]]:
        packages_per_system: DefaultDict[str, Set[str]] = defaultdict(set)
        statuses = self.get(pr["statuses_url"])
        for status in statuses:
            url = status.get("target_url", "")
            if (
                status["description"] == "^.^!"
                and status["creator"]["login"] == "ofborg[bot]"
                and url != ""
            ):
                url = urllib.parse.urlparse(url)
                raw_gist_url = (
                    f"https://gist.githubusercontent.com/GrahamcOfBorg{url.path}/raw/"
                )
                for line in urllib.request.urlopen(raw_gist_url):
                    if line == b"":
                        break
                    system, attribute = line.decode("utf-8").split()
                    packages_per_system[system].add(attribute)
                return packages_per_system
        return None 

# 需要導入模塊: import typing [as 別名]
# 或者: from typing import DefaultDict [as 別名]
def test_defaultdict_raise_error():
    elem = collections.defaultdict(int)
    elem[5] = [1, 2, 3]

    validator = type_validator()

    attr = MagicMock()
    attr.name = "foo"
    attr.type = DefaultDict[int, List[str]]

    with pytest.raises(ValueError) as error:
        validator(None, attr, elem)

    assert (
        "<foo must be typing.DefaultDict[int, typing.List[str]] "
        "(got 1 that is a {}) in [1, 2, 3] in "
        "defaultdict({}, {{5: [1, 2, 3]}})>"
    ).format(int, int) == repr(error.value) 

# 需要導入模塊: import typing [as 別名]
# 或者: from typing import DefaultDict [as 別名]
def parameter_count(model: nn.Module) -> typing.DefaultDict[str, int]:
    """
    Count parameters of a model and its submodules.

    Args:
        model: a torch module

    Returns:
        dict (str-> int): the key is either a parameter name or a module name.
            The value is the number of elements in the parameter, or in all
            parameters of the module. The key "" corresponds to the total
            number of parameters of the model.
    """
    r = defaultdict(int)
    for name, prm in model.named_parameters():
        size = prm.numel()
        name = name.split(".")
        for k in range(0, len(name) + 1):
            prefix = ".".join(name[:k])
            r[prefix] += size
    return r 

# 需要導入模塊: import typing [as 別名]
# 或者: from typing import DefaultDict [as 別名]
def __init__(self, logger=None):
        self._user_token = None
        self._user_client = None
        self._bot_token = None
        self._bot_client = None
        self._verification_token = None
        self._executor = concurrent.futures.ThreadPoolExecutor()
        self.logger = logger or logging.getLogger("uqcsbot")
        self._handlers: DefaultDict[str, list] = collections.defaultdict(list)
        self._command_registry: DefaultDict[str, list] = collections.defaultdict(list)
        self._scheduler = AsyncIOScheduler()

        self.register_handler('message', self._handle_command)
        self.register_handler('hello', self._handle_hello)
        self.register_handler('goodbye', self._handle_goodbye)

        self.channels = ChannelWrapper(self)
        self.users = UsersWrapper(self) 

# 需要導入模塊: import typing [as 別名]
# 或者: from typing import DefaultDict [as 別名]
def __init__(self, optimizer, all_players, params):
        super(LockedPlayersRule, self).__init__(optimizer, all_players, params)
        self.used_players = defaultdict(int)  # type: DefaultDict[Player, int]
        self.total_lineups = params.get('n')
        self.remaining_iteration = params.get('n') + 1 

# 需要導入模塊: import typing [as 別名]
# 或者: from typing import DefaultDict [as 別名]
def get_players_grouped_by_teams(
        players: Iterable['Player'],
        for_teams: Optional[List[str]] = None,
        for_positions: Optional[List[str]] = None,
) -> DefaultDict[str, List['Player']]:
    players_by_teams = defaultdict(list)  # type: DefaultDict[str, List['Player']]
    for player in players:
        if for_teams is not None and player.team not in for_teams:
            continue
        if for_positions is not None and not list_intersection(player.positions, for_positions):
            continue
        players_by_teams[player.team].append(player)
    return players_by_teams 

# 需要導入模塊: import typing [as 別名]
# 或者: from typing import DefaultDict [as 別名]
def merge_dicts(
    d1: DefaultDict[str, List[str]],
    d2: Union[DefaultDict[str, List[str]], Dict[str, List[str]]],
) -> DefaultDict[str, List[str]]:
    """
    Merge two `dict()` objects

    """
    for k, v in d2.items():
        d1[k].extend(v)
    return d1 

# 需要導入模塊: import typing [as 別名]
# 或者: from typing import DefaultDict [as 別名]
def get_downloads_by_category(*, category: str, name: str) -> List[Dict[str, Any]]:
    url = CATEGORIES_URLS[category].format(name)
    with requests_session() as session:
        response = session.get(url)
    response.raise_for_status()
    body = response.json()['data']

    yesterday = date.today() - timedelta(1)
    grouped: DefaultDict[str, DateList]
    grouped = defaultdict(lambda: DateList(start=yesterday - timedelta(30), end=yesterday))
    for line in body:
        category = line['category'].replace('.', '')
        grouped[category].add(date=line['date'], value=line['downloads'])

    result = []
    for category, dates in grouped.items():
        downloads = list(dates)
        if sum(downloads) == 0:
            continue
        result.append(dict(
            category=category,
            day=downloads[-1],
            week=sum(downloads[-7:]),
            month=sum(downloads),
            chart=make_chart(downloads[-28:], group=7),
        ))
    return result 

# 需要導入模塊: import typing [as 別名]
# 或者: from typing import DefaultDict [as 別名]
def attach_cli(self, args, sep: str = '_') -> Dict[str, Any]:
        data = defaultdict(dict)  # type: DefaultDict[str, Any]
        for name, value in args._get_kwargs():
            if value is None or value is False:
                continue
            parsed = name.split(sep, maxsplit=1)
            if len(parsed) == 1:
                data[name] = value
            else:
                # if old content isn't a dict, override it
                if not isinstance(data[parsed[0]], dict):
                    data[parsed[0]] = dict()
                data[parsed[0]][parsed[1]] = value
        self.attach(data)
        return dict(data) 

# 需要導入模塊: import typing [as 別名]
# 或者: from typing import DefaultDict [as 別名]
def attach_env_vars(self, *, env_vars: Dict[str, str] = None, sep: str = '_') -> dict:
        if env_vars is None:
            env_vars = dict(environ)
        data = defaultdict(dict)  # type: DefaultDict[str, Any]
        for name, value in env_vars.items():
            # drop templated part from name
            match = ENV_VAR_REX.fullmatch(name)
            if not match:
                continue
            name = match.groups()[0].lower()
            if name in ('env', 'config'):
                continue

            # convert value to the correct type
            try:
                value = tomlkit.parse('key={}'.format(value))['key']
            except TOMLKitError:
                pass

            # do the same as in `attach_cli`
            parsed = name.split(sep, maxsplit=1)
            if len(parsed) == 1:
                data[name] = value
            else:
                # if old content isn't a dict, override it
                if not isinstance(data[parsed[0]], dict):
                    data[parsed[0]] = dict()
                data[parsed[0]][parsed[1]] = value
        self.attach(data)
        return dict(data)