# Buggy code
def __init__(
    self,
    domains: set,
    network_middleware: RestMiddleware = __DEFAULT_MIDDLEWARE_CLASS(),
    start_learning_now: bool = False,
    learn_on_same_thread: bool = False,
    known_nodes: tuple = None,
    seed_nodes: Tuple[tuple] = None,
    node_storage=None,
    save_metadata: bool = False,
    abort_on_learning_error: bool = False,
    lonely: bool = False,
) -> None:
    self.log = Logger("learning-loop")  # type: Logger

    self.learning_domains = domains
    self.network_middleware = network_middleware
    self.save_metadata = save_metadata
    self.start_learning_now = start_learning_now
    self.learn_on_same_thread = learn_on_same_thread

    self._abort_on_learning_error = abort_on_learning_error
    self._learning_listeners = defaultdict(list)
    self._node_ids_to_learn_about_immediately = set()

    self.__known_nodes = self.tracker_class()

    self.lonely = lonely
    self.done_seeding = False

    # Read
    if node_storage is None:
        from nucypher.characters.lawful import Ursula

        node_storage = self.__DEFAULT_NODE_STORAGE(
            federated_only=self.federated_only,  # TODO: #466
            character_class=Ursula,
        )

    self.node_storage = node_storage

    if save_metadata and node_storage is NO_STORAGE_AVAILIBLE:
        raise ValueError("Cannot save nodes without a configured node storage")

    known_nodes = known_nodes or tuple()
    self.unresponsive_startup_nodes = (
        list()
    )  # TODO: Buckets - Attempt to use these again later
    for node in known_nodes:
        try:
            self.remember_node(node)
        except self.UnresponsiveTeacher:
            self.unresponsive_startup_nodes.append(node)

    self.teacher_nodes = deque()
    self._current_teacher_node = None  # type: Teacher
    self._learning_task = task.LoopingCall(self.keep_learning_about_nodes)
    self._learning_round = 0  # type: int
    self._rounds_without_new_nodes = 0  # type: int
    self._seed_nodes = seed_nodes or []
    self.unresponsive_seed_nodes = set()

    if self.start_learning_now:
        self.start_learning_loop(now=self.learn_on_same_thread)


# Traceback (ValueError)
$ nucypher ursula confirm-activity



,ggg,         gg
dP""Y8a        88                                   ,dPYb,
Yb, `88        88                                   IP'`Yb
`"  88        88                                   I8  8I
88        88                                   I8  8'
88        88   ,gggggg,    ,g,     gg      gg  I8 dP    ,gggg,gg
88        88   dP""""8I   ,8'8,    I8      8I  I8dP    dP"  "Y8I
88        88  ,8'    8I  ,8'  Yb   I8,    ,8I  I8P    i8'    ,8I
Y8b,____,d88,,dP     Y8,,8'_   8) ,d8b,  ,d8b,,d8b,_ ,d8,   ,d8b,
"Y888888P"Y88P      `Y8P' "YY8P8P8P'"Y88P"`Y88P'"Y88P"Y8888P"`Y8


the Untrusted Re-Encryption Proxy.


Decrypting NuCypher keyring...
WARNING - No Bootnodes Available
Traceback (most recent call last):
File "/home/ubuntu/.local/share/virtualenvs/nucypher-fvStivKV/bin/nucypher", line 11, in <module>
load_entry_point('nucypher', 'console_scripts', 'nucypher')()
File "/home/ubuntu/.local/share/virtualenvs/nucypher-fvStivKV/lib/python3.6/site-packages/click/core.py", line 764, in __call__
return self.main(*args, **kwargs)
File "/home/ubuntu/.local/share/virtualenvs/nucypher-fvStivKV/lib/python3.6/site-packages/click/core.py", line 717, in main
rv = self.invoke(ctx)
File "/home/ubuntu/.local/share/virtualenvs/nucypher-fvStivKV/lib/python3.6/site-packages/click/core.py", line 1137, in invoke
return _process_result(sub_ctx.command.invoke(sub_ctx))
File "/home/ubuntu/.local/share/virtualenvs/nucypher-fvStivKV/lib/python3.6/site-packages/click/core.py", line 956, in invoke
return ctx.invoke(self.callback, **ctx.params)
File "/home/ubuntu/.local/share/virtualenvs/nucypher-fvStivKV/lib/python3.6/site-packages/click/core.py", line 555, in invoke
return callback(*args, **kwargs)
File "/home/ubuntu/.local/share/virtualenvs/nucypher-fvStivKV/lib/python3.6/site-packages/click/decorators.py", line 64, in new_func
return ctx.invoke(f, obj, *args, **kwargs)
File "/home/ubuntu/.local/share/virtualenvs/nucypher-fvStivKV/lib/python3.6/site-packages/click/core.py", line 555, in invoke
return callback(*args, **kwargs)
File "/home/ubuntu/nucypher/nucypher/cli/config.py", line 219, in wrapper
return func(config, *args, **kwargs)
File "/home/ubuntu/nucypher/nucypher/cli/characters/ursula.py", line 268, in ursula
client_password=client_password)
File "/home/ubuntu/nucypher/nucypher/cli/actions.py", line 288, in make_cli_character
**config_args)
File "/home/ubuntu/nucypher/nucypher/config/node.py", line 215, in __call__
return self.produce(**character_kwargs)
File "/home/ubuntu/nucypher/nucypher/config/characters.py", line 103, in produce
merged_parameters = self.generate_parameters(**overrides)
File "/home/ubuntu/nucypher/nucypher/config/node.py", line 284, in generate_parameters
merged_parameters = {**self.static_payload(), **self.dynamic_payload, **overrides}
File "/home/ubuntu/nucypher/nucypher/config/characters.py", line 98, in dynamic_payload
return {**super().dynamic_payload, **payload}
File "/home/ubuntu/nucypher/nucypher/config/node.py", line 385, in dynamic_payload
self.read_known_nodes()   # Requires a connected blockchain to init Ursulas.
File "/home/ubuntu/nucypher/nucypher/config/node.py", line 260, in read_known_nodes
known_nodes = self.node_storage.all(federated_only=self.federated_only)
File "/home/ubuntu/nucypher/nucypher/config/storages.py", line 415, in all
federated_only=federated_only)  # TODO: 466
File "/home/ubuntu/nucypher/nucypher/config/storages.py", line 384, in __read_metadata
node = Ursula.from_bytes(node_bytes, registry=registry, federated_only=federated_only)
File "/home/ubuntu/nucypher/nucypher/characters/lawful.py", line 1175, in from_bytes
ursula = cls.from_public_keys(registry=registry, federated_only=federated_only, **node_info)
File "/home/ubuntu/nucypher/nucypher/characters/base.py", line 310, in from_public_keys
return cls(is_me=False, federated_only=federated_only, crypto_power=crypto_power, *args, **kwargs)
File "/home/ubuntu/nucypher/nucypher/characters/lawful.py", line 831, in __init__
**character_kwargs)
File "/home/ubuntu/nucypher/nucypher/characters/base.py", line 116, in __init__
raise ValueError(f"Pass either federated only or registry.  Got '{federated_only}'. '{registry}'")
ValueError: Pass either federated only or registry.  Got 'None'. 'None'
Sentry is attempting to send 0 pending error messages
Waiting up to 2.0 seconds
Press Ctrl-C to quit

# Fixed code
def __init__(
    self,
    domains: set,
    network_middleware: RestMiddleware = __DEFAULT_MIDDLEWARE_CLASS(),
    start_learning_now: bool = False,
    learn_on_same_thread: bool = False,
    known_nodes: tuple = None,
    seed_nodes: Tuple[tuple] = None,
    node_storage=None,
    save_metadata: bool = False,
    abort_on_learning_error: bool = False,
    lonely: bool = False,
) -> None:
    self.log = Logger("learning-loop")  # type: Logger

    self.learning_domains = domains
    self.network_middleware = network_middleware
    self.save_metadata = save_metadata
    self.start_learning_now = start_learning_now
    self.learn_on_same_thread = learn_on_same_thread

    self._abort_on_learning_error = abort_on_learning_error
    self._learning_listeners = defaultdict(list)
    self._node_ids_to_learn_about_immediately = set()

    self.__known_nodes = self.tracker_class()

    self.lonely = lonely
    self.done_seeding = False

    if not node_storage:
        # Fallback storage backend
        node_storage = self.__DEFAULT_NODE_STORAGE(federated_only=self.federated_only)
    self.node_storage = node_storage
    if save_metadata and node_storage is NO_STORAGE_AVAILIBLE:
        raise ValueError("Cannot save nodes without a configured node storage")

    known_nodes = known_nodes or tuple()
    self.unresponsive_startup_nodes = (
        list()
    )  # TODO: Buckets - Attempt to use these again later
    for node in known_nodes:
        try:
            self.remember_node(node)
        except self.UnresponsiveTeacher:
            self.unresponsive_startup_nodes.append(node)

    self.teacher_nodes = deque()
    self._current_teacher_node = None  # type: Teacher
    self._learning_task = task.LoopingCall(self.keep_learning_about_nodes)
    self._learning_round = 0  # type: int
    self._rounds_without_new_nodes = 0  # type: int
    self._seed_nodes = seed_nodes or []
    self.unresponsive_seed_nodes = set()

    if self.start_learning_now:
        self.start_learning_loop(now=self.learn_on_same_thread)