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train | Library.tdSensorValue | Get the sensor value for a given sensor.
:return: a dict with the keys: value, timestamp. | tellcore/library.py | def tdSensorValue(self, protocol, model, sid, datatype):
"""Get the sensor value for a given sensor.
:return: a dict with the keys: value, timestamp.
"""
value = create_string_buffer(20)
timestamp = c_int()
self._lib.tdSensorValue(protocol, model, sid, datatype,
... | def tdSensorValue(self, protocol, model, sid, datatype):
"""Get the sensor value for a given sensor.
:return: a dict with the keys: value, timestamp.
"""
value = create_string_buffer(20)
timestamp = c_int()
self._lib.tdSensorValue(protocol, model, sid, datatype,
... | [
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train | Library.tdController | Get the next controller while iterating.
:return: a dict with the keys: id, type, name, available. | tellcore/library.py | def tdController(self):
"""Get the next controller while iterating.
:return: a dict with the keys: id, type, name, available.
"""
cid = c_int()
ctype = c_int()
name = create_string_buffer(255)
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"""Get the next controller while iterating.
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train | make_passwordmanager | schemes contains a list of replace this list with the hash(es) you wish
to support.
this example sets pbkdf2_sha256 as the default,
with support for legacy bcrypt hashes.
:param schemes:
:return: CryptContext() | ziggurat_foundations/__init__.py | def make_passwordmanager(schemes=None):
"""
schemes contains a list of replace this list with the hash(es) you wish
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this example sets pbkdf2_sha256 as the default,
with support for legacy bcrypt hashes.
:param schemes:
:return: CryptContext()
"""
from passlib.context imp... | def make_passwordmanager(schemes=None):
"""
schemes contains a list of replace this list with the hash(es) you wish
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this example sets pbkdf2_sha256 as the default,
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train | ziggurat_model_init | This function handles attaching model to service if model has one specified
as `_ziggurat_service`, Also attached a proxy object holding all model
definitions that services might use
:param args:
:param kwargs:
:param passwordmanager, the password manager to override default one
:param password... | ziggurat_foundations/__init__.py | def ziggurat_model_init(
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user_group=None,
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user_permission=None,
user_resource_permission=None,
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This function handles attaching m... | def ziggurat_model_init(
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group_permission=None,
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user_resource_permission=None,
group_resource_permission=None,
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train | messages | Show messages for the given query or day. | gnotty/views.py | def messages(request, year=None, month=None, day=None,
template="gnotty/messages.html"):
"""
Show messages for the given query or day.
"""
query = request.REQUEST.get("q")
prev_url, next_url = None, None
messages = IRCMessage.objects.all()
if hide_joins_and_leaves(request):
... | def messages(request, year=None, month=None, day=None,
template="gnotty/messages.html"):
"""
Show messages for the given query or day.
"""
query = request.REQUEST.get("q")
prev_url, next_url = None, None
messages = IRCMessage.objects.all()
if hide_joins_and_leaves(request):
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train | calendar | Show calendar months for the given year/month. | gnotty/views.py | def calendar(request, year=None, month=None, template="gnotty/calendar.html"):
"""
Show calendar months for the given year/month.
"""
try:
year = int(year)
except TypeError:
year = datetime.now().year
lookup = {"message_time__year": year}
if month:
lookup["message_ti... | def calendar(request, year=None, month=None, template="gnotty/calendar.html"):
"""
Show calendar months for the given year/month.
"""
try:
year = int(year)
except TypeError:
year = datetime.now().year
lookup = {"message_time__year": year}
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train | decorate_client | A helper for decorating :class:`bravado.client.SwaggerClient`.
:class:`bravado.client.SwaggerClient` can be extended by creating a class
which wraps all calls to it. This helper is used in a :func:`__getattr__`
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raise :class:`Attri... | swagger_zipkin/decorate_client.py | def decorate_client(api_client, func, name):
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:class:`bravado.client.SwaggerClient` can be extended by creating a class
which wraps all calls to it. This helper is used in a :func:`__getattr__`
to check if the attr exists on the api_client... | def decorate_client(api_client, func, name):
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train | db_mutex.delete_expired_locks | Deletes all expired mutex locks if a ttl is provided. | db_mutex/db_mutex.py | def delete_expired_locks(self):
"""
Deletes all expired mutex locks if a ttl is provided.
"""
ttl_seconds = self.get_mutex_ttl_seconds()
if ttl_seconds is not None:
DBMutex.objects.filter(creation_time__lte=timezone.now() - timedelta(seconds=ttl_seconds)).delete() | def delete_expired_locks(self):
"""
Deletes all expired mutex locks if a ttl is provided.
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ttl_seconds = self.get_mutex_ttl_seconds()
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train | db_mutex.start | Acquires the db mutex lock. Takes the necessary steps to delete any stale locks.
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"""
Acquires the db mutex lock. Takes the necessary steps to delete any stale locks.
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Acquires the db mutex lock. Takes the necessary steps to delete any stale locks.
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train | db_mutex.stop | Releases the db mutex lock. Throws an error if the lock was released before the function finished. | db_mutex/db_mutex.py | def stop(self):
"""
Releases the db mutex lock. Throws an error if the lock was released before the function finished.
"""
if not DBMutex.objects.filter(id=self.lock.id).exists():
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train | db_mutex.decorate_callable | Decorates a function with the db_mutex decorator by using this class as a context manager around
it. | db_mutex/db_mutex.py | def decorate_callable(self, func):
"""
Decorates a function with the db_mutex decorator by using this class as a context manager around
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"""
def wrapper(*args, **kwargs):
try:
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Decorates a function with the db_mutex decorator by using this class as a context manager around
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def wrapper(*args, **kwargs):
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train | groupfinder | Default groupfinder implementaion for pyramid applications
:param userid:
:param request:
:return: | ziggurat_foundations/models/__init__.py | def groupfinder(userid, request):
"""
Default groupfinder implementaion for pyramid applications
:param userid:
:param request:
:return:
"""
if userid and hasattr(request, "user") and request.user:
groups = ["group:%s" % g.id for g in request.user.groups]
return groups
r... | def groupfinder(userid, request):
"""
Default groupfinder implementaion for pyramid applications
:param userid:
:param request:
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"""
if userid and hasattr(request, "user") and request.user:
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train | force_atlas2_layout | Position nodes using ForceAtlas2 force-directed algorithm
Parameters
----------
graph: NetworkX graph
A position will be assigned to every node in G.
pos_list : dict or None optional (default=None)
Initial positions for nodes as a dictionary with node as keys
and values as a c... | fa2l/fa2l.py | def force_atlas2_layout(graph,
pos_list=None,
node_masses=None,
iterations=100,
outbound_attraction_distribution=False,
lin_log_mode=False,
prevent_overlapping=False,
... | def force_atlas2_layout(graph,
pos_list=None,
node_masses=None,
iterations=100,
outbound_attraction_distribution=False,
lin_log_mode=False,
prevent_overlapping=False,
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train | apply_repulsion | Iterate through the nodes or edges and apply the forces directly to the node objects. | fa2l/force.py | def apply_repulsion(repulsion, nodes, barnes_hut_optimize=False, region=None, barnes_hut_theta=1.2):
"""
Iterate through the nodes or edges and apply the forces directly to the node objects.
"""
if not barnes_hut_optimize:
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... | def apply_repulsion(repulsion, nodes, barnes_hut_optimize=False, region=None, barnes_hut_theta=1.2):
"""
Iterate through the nodes or edges and apply the forces directly to the node objects.
"""
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for i in range(0, len(nodes)):
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train | apply_gravity | Iterate through the nodes or edges and apply the gravity directly to the node objects. | fa2l/force.py | def apply_gravity(repulsion, nodes, gravity, scaling_ratio):
"""
Iterate through the nodes or edges and apply the gravity directly to the node objects.
"""
for i in range(0, len(nodes)):
repulsion.apply_gravitation(nodes[i], gravity / scaling_ratio) | def apply_gravity(repulsion, nodes, gravity, scaling_ratio):
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Iterate through the nodes or edges and apply the gravity directly to the node objects.
"""
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train | ExternalIdentityService.get | Fetch row using primary key -
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:param local_user_id:
:param provider_name:
:param db_session:
:return: | ziggurat_foundations/models/services/external_identity.py | def get(cls, external_id, local_user_id, provider_name, db_session=None):
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Fetch row using primary key -
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train | ExternalIdentityService.by_external_id_and_provider | Returns ExternalIdentity instance based on search params
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:param provider_name:
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"""
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:param db_session:
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train | ExternalIdentityService.user_by_external_id_and_provider | Returns User instance based on search params
:param external_id:
:param provider_name:
:param db_session:
:return: User | ziggurat_foundations/models/services/external_identity.py | def user_by_external_id_and_provider(
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"""
Returns User instance based on search params
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:param provider_name:
:param db_session:
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:param provider_name:
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train | UserPermissionService.by_user_and_perm | return by user and permission name
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:param perm_name:
:param db_session:
:return: | ziggurat_foundations/models/services/user_permission.py | def by_user_and_perm(cls, user_id, perm_name, db_session=None):
"""
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:param user_id:
:param perm_name:
:param db_session:
:return:
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"""
return by user and permission name
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:param perm_name:
:param db_session:
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train | node_is_subclass | Checks if cls node has parent with subclass_name. | pylint_mongoengine/utils.py | def node_is_subclass(cls, *subclass_names):
"""Checks if cls node has parent with subclass_name."""
if not isinstance(cls, (ClassDef, Instance)):
return False
# if cls.bases == YES:
# return False
for base_cls in cls.bases:
try:
for inf in base_cls.inferred(): # pra... | def node_is_subclass(cls, *subclass_names):
"""Checks if cls node has parent with subclass_name."""
if not isinstance(cls, (ClassDef, Instance)):
return False
# if cls.bases == YES:
# return False
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train | is_field_method | Checks if a call to a field instance method is valid. A call is
valid if the call is a method of the underlying type. So, in a StringField
the methods from str are valid, in a ListField the methods from list are
valid and so on... | pylint_mongoengine/utils.py | def is_field_method(node):
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train | get_node_parent_class | Supposes that node is a mongoengine field in a class and tries to
get its parent class | pylint_mongoengine/utils.py | def get_node_parent_class(node):
"""Supposes that node is a mongoengine field in a class and tries to
get its parent class"""
while node.parent: # pragma no branch
if isinstance(node, ClassDef):
return node
node = node.parent | def get_node_parent_class(node):
"""Supposes that node is a mongoengine field in a class and tries to
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while node.parent: # pragma no branch
if isinstance(node, ClassDef):
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train | get_field_definition | node is a class attribute that is a mongoengine. Returns
the definition statement for the attribute | pylint_mongoengine/utils.py | def get_field_definition(node):
""""node is a class attribute that is a mongoengine. Returns
the definition statement for the attribute
"""
name = node.attrname
cls = get_node_parent_class(node)
definition = cls.lookup(name)[1][0].statement()
return definition | def get_field_definition(node):
""""node is a class attribute that is a mongoengine. Returns
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"""
name = node.attrname
cls = get_node_parent_class(node)
definition = cls.lookup(name)[1][0].statement()
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train | get_field_embedded_doc | Returns de ClassDef for the related embedded document in a
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"""Returns de ClassDef for the related embedded document in a
embedded document field."""
definition = get_field_definition(node)
cls_name = definition.last_child().last_child()
cls = next(cls_name.infer())
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train | node_is_embedded_doc_attr | Checks if a node is a valid field or method in a embedded document. | pylint_mongoengine/utils.py | def node_is_embedded_doc_attr(node):
"""Checks if a node is a valid field or method in a embedded document.
"""
embedded_doc = get_field_embedded_doc(node.last_child())
name = node.attrname
try:
r = bool(embedded_doc.lookup(name)[1][0])
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r = False
return r | def node_is_embedded_doc_attr(node):
"""Checks if a node is a valid field or method in a embedded document.
"""
embedded_doc = get_field_embedded_doc(node.last_child())
name = node.attrname
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r = bool(embedded_doc.lookup(name)[1][0])
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r = False
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train | BaseBot._dispatcher | This is the method in ``SimpleIRCClient`` that all IRC events
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"""
This is the method in ``SimpleIRCClient`` that all IRC events
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"""
super(BaseBot, self)._dispatcher(connection, event)
for handler ... | def _dispatcher(self, connection, event):
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train | BaseBot.on_pubmsg | Log any public messages, and also handle the command event. | gnotty/bots/base.py | def on_pubmsg(self, connection, event):
"""
Log any public messages, and also handle the command event.
"""
for message in event.arguments():
self.log(event, message)
command_args = filter(None, message.split())
command_name = command_args.pop(0)
... | def on_pubmsg(self, connection, event):
"""
Log any public messages, and also handle the command event.
"""
for message in event.arguments():
self.log(event, message)
command_args = filter(None, message.split())
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"""
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train | BaseBot.handle_timer_event | Runs each timer handler in a separate greenlet thread. | gnotty/bots/base.py | def handle_timer_event(self, handler):
"""
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"""
while True:
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sleep(handler.event.args["seconds"]) | def handle_timer_event(self, handler):
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train | BaseBot.handle_webhook_event | Webhook handler - each handler for the webhook event
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requested. Here we match the URL to the pattern for each
webhook handler, and bail out if it returns a response. | gnotty/bots/base.py | def handle_webhook_event(self, environ, url, params):
"""
Webhook handler - each handler for the webhook event
takes an initial pattern argument for matching the URL
requested. Here we match the URL to the pattern for each
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"""
Webhook handler - each handler for the webhook event
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train | DeviceFactory | Create the correct device instance based on device type and return it.
:return: a :class:`Device` or :class:`DeviceGroup` instance. | tellcore/telldus.py | def DeviceFactory(id, lib=None):
"""Create the correct device instance based on device type and return it.
:return: a :class:`Device` or :class:`DeviceGroup` instance.
"""
lib = lib or Library()
if lib.tdGetDeviceType(id) == const.TELLSTICK_TYPE_GROUP:
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re... | def DeviceFactory(id, lib=None):
"""Create the correct device instance based on device type and return it.
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"""
lib = lib or Library()
if lib.tdGetDeviceType(id) == const.TELLSTICK_TYPE_GROUP:
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train | QueuedCallbackDispatcher.process_callback | Dispatch a single callback in the current thread.
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:return: True if a callback was processed; otherwise False. | tellcore/telldus.py | def process_callback(self, block=True):
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train | TelldusCore.devices | Return all known devices.
:return: list of :class:`Device` or :class:`DeviceGroup` instances. | tellcore/telldus.py | def devices(self):
"""Return all known devices.
:return: list of :class:`Device` or :class:`DeviceGroup` instances.
"""
devices = []
count = self.lib.tdGetNumberOfDevices()
for i in range(count):
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train | TelldusCore.sensors | Return all known sensors.
:return: list of :class:`Sensor` instances. | tellcore/telldus.py | def sensors(self):
"""Return all known sensors.
:return: list of :class:`Sensor` instances.
"""
sensors = []
try:
while True:
sensor = self.lib.tdSensor()
sensors.append(Sensor(lib=self.lib, **sensor))
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"""Return all known sensors.
:return: list of :class:`Sensor` instances.
"""
sensors = []
try:
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sensor = self.lib.tdSensor()
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train | TelldusCore.controllers | Return all known controllers.
Requires Telldus core library version >= 2.1.2.
:return: list of :class:`Controller` instances. | tellcore/telldus.py | def controllers(self):
"""Return all known controllers.
Requires Telldus core library version >= 2.1.2.
:return: list of :class:`Controller` instances.
"""
controllers = []
try:
while True:
controller = self.lib.tdController()
... | def controllers(self):
"""Return all known controllers.
Requires Telldus core library version >= 2.1.2.
:return: list of :class:`Controller` instances.
"""
controllers = []
try:
while True:
controller = self.lib.tdController()
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train | TelldusCore.add_device | Add a new device.
:return: a :class:`Device` or :class:`DeviceGroup` instance. | tellcore/telldus.py | def add_device(self, name, protocol, model=None, **parameters):
"""Add a new device.
:return: a :class:`Device` or :class:`DeviceGroup` instance.
"""
device = Device(self.lib.tdAddDevice(), lib=self.lib)
try:
device.name = name
device.protocol = protocol
... | def add_device(self, name, protocol, model=None, **parameters):
"""Add a new device.
:return: a :class:`Device` or :class:`DeviceGroup` instance.
"""
device = Device(self.lib.tdAddDevice(), lib=self.lib)
try:
device.name = name
device.protocol = protocol
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train | TelldusCore.add_group | Add a new device group.
:return: a :class:`DeviceGroup` instance. | tellcore/telldus.py | def add_group(self, name, devices):
"""Add a new device group.
:return: a :class:`DeviceGroup` instance.
"""
device = self.add_device(name, "group")
device.add_to_group(devices)
return device | def add_group(self, name, devices):
"""Add a new device group.
:return: a :class:`DeviceGroup` instance.
"""
device = self.add_device(name, "group")
device.add_to_group(devices)
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train | TelldusCore.connect_controller | Connect a controller. | tellcore/telldus.py | def connect_controller(self, vid, pid, serial):
"""Connect a controller."""
self.lib.tdConnectTellStickController(vid, pid, serial) | def connect_controller(self, vid, pid, serial):
"""Connect a controller."""
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train | TelldusCore.disconnect_controller | Disconnect a controller. | tellcore/telldus.py | def disconnect_controller(self, vid, pid, serial):
"""Disconnect a controller."""
self.lib.tdDisconnectTellStickController(vid, pid, serial) | def disconnect_controller(self, vid, pid, serial):
"""Disconnect a controller."""
self.lib.tdDisconnectTellStickController(vid, pid, serial) | [
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train | Device.parameters | Get dict with all set parameters. | tellcore/telldus.py | def parameters(self):
"""Get dict with all set parameters."""
parameters = {}
for name in self.PARAMETERS:
try:
parameters[name] = self.get_parameter(name)
except AttributeError:
pass
return parameters | def parameters(self):
"""Get dict with all set parameters."""
parameters = {}
for name in self.PARAMETERS:
try:
parameters[name] = self.get_parameter(name)
except AttributeError:
pass
return parameters | [
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train | Device.get_parameter | Get a parameter. | tellcore/telldus.py | def get_parameter(self, name):
"""Get a parameter."""
default_value = "$%!)(INVALID)(!%$"
value = self.lib.tdGetDeviceParameter(self.id, name, default_value)
if value == default_value:
raise AttributeError(name)
return value | def get_parameter(self, name):
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default_value = "$%!)(INVALID)(!%$"
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train | Device.set_parameter | Set a parameter. | tellcore/telldus.py | def set_parameter(self, name, value):
"""Set a parameter."""
self.lib.tdSetDeviceParameter(self.id, name, str(value)) | def set_parameter(self, name, value):
"""Set a parameter."""
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train | DeviceGroup.add_to_group | Add device(s) to the group. | tellcore/telldus.py | def add_to_group(self, devices):
"""Add device(s) to the group."""
ids = {d.id for d in self.devices_in_group()}
ids.update(self._device_ids(devices))
self._set_group(ids) | def add_to_group(self, devices):
"""Add device(s) to the group."""
ids = {d.id for d in self.devices_in_group()}
ids.update(self._device_ids(devices))
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train | DeviceGroup.remove_from_group | Remove device(s) from the group. | tellcore/telldus.py | def remove_from_group(self, devices):
"""Remove device(s) from the group."""
ids = {d.id for d in self.devices_in_group()}
ids.difference_update(self._device_ids(devices))
self._set_group(ids) | def remove_from_group(self, devices):
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ids = {d.id for d in self.devices_in_group()}
ids.difference_update(self._device_ids(devices))
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train | DeviceGroup.devices_in_group | Fetch list of devices in group. | tellcore/telldus.py | def devices_in_group(self):
"""Fetch list of devices in group."""
try:
devices = self.get_parameter('devices')
except AttributeError:
return []
ctor = DeviceFactory
return [ctor(int(x), lib=self.lib) for x in devices.split(',') if x] | def devices_in_group(self):
"""Fetch list of devices in group."""
try:
devices = self.get_parameter('devices')
except AttributeError:
return []
ctor = DeviceFactory
return [ctor(int(x), lib=self.lib) for x in devices.split(',') if x] | [
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train | Sensor.value | Return the :class:`SensorValue` for the given data type.
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sensor.value(TELLSTICK_TEMPERATURE) is identical to calling
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"""
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train | _prepPointsForSegments | Move any off curves at the end of the contour
to the beginning of the contour. This makes
segmentation easier. | Lib/booleanOperations/flatten.py | def _prepPointsForSegments(points):
"""
Move any off curves at the end of the contour
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segmentation easier.
"""
while 1:
point = points[-1]
if point.segmentType:
break
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"""
Move any off curves at the end of the contour
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"""
while 1:
point = points[-1]
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train | _reversePoints | Reverse the points. This differs from the
reversal point pen in RoboFab in that it doesn't
worry about maintaing the start point position.
That has no benefit within the context of this module. | Lib/booleanOperations/flatten.py | def _reversePoints(points):
"""
Reverse the points. This differs from the
reversal point pen in RoboFab in that it doesn't
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That has no benefit within the context of this module.
"""
# copy the points
points = _copyPoints(points)
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"""
Reverse the points. This differs from the
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"""
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train | _convertPointsToSegments | Compile points into InputSegment objects. | Lib/booleanOperations/flatten.py | def _convertPointsToSegments(points, willBeReversed=False):
"""
Compile points into InputSegment objects.
"""
# get the last on curve
previousOnCurve = None
for point in reversed(points):
if point.segmentType is not None:
previousOnCurve = point.coordinates
break
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"""
Compile points into InputSegment objects.
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# get the last on curve
previousOnCurve = None
for point in reversed(points):
if point.segmentType is not None:
previousOnCurve = point.coordinates
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train | _tValueForPointOnCubicCurve | Finds a t value on a curve from a point.
The points must be originaly be a point on the curve.
This will only back trace the t value, needed to split the curve in parts | Lib/booleanOperations/flatten.py | def _tValueForPointOnCubicCurve(point, cubicCurve, isHorizontal=0):
"""
Finds a t value on a curve from a point.
The points must be originaly be a point on the curve.
This will only back trace the t value, needed to split the curve in parts
"""
pt1, pt2, pt3, pt4 = cubicCurve
a, b, c, d = be... | def _tValueForPointOnCubicCurve(point, cubicCurve, isHorizontal=0):
"""
Finds a t value on a curve from a point.
The points must be originaly be a point on the curve.
This will only back trace the t value, needed to split the curve in parts
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train | _scalePoints | Scale points and optionally convert them to integers. | Lib/booleanOperations/flatten.py | def _scalePoints(points, scale=1, convertToInteger=True):
"""
Scale points and optionally convert them to integers.
"""
if convertToInteger:
points = [
(int(round(x * scale)), int(round(y * scale)))
for (x, y) in points
]
else:
points = [(x * scale, y ... | def _scalePoints(points, scale=1, convertToInteger=True):
"""
Scale points and optionally convert them to integers.
"""
if convertToInteger:
points = [
(int(round(x * scale)), int(round(y * scale)))
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points = [(x * scale, y ... | [
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train | _scaleSinglePoint | Scale a single point | Lib/booleanOperations/flatten.py | def _scaleSinglePoint(point, scale=1, convertToInteger=True):
"""
Scale a single point
"""
x, y = point
if convertToInteger:
return int(round(x * scale)), int(round(y * scale))
else:
return (x * scale, y * scale) | def _scaleSinglePoint(point, scale=1, convertToInteger=True):
"""
Scale a single point
"""
x, y = point
if convertToInteger:
return int(round(x * scale)), int(round(y * scale))
else:
return (x * scale, y * scale) | [
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train | _flattenSegment | Flatten the curve segment int a list of points.
The first and last points in the segment must be
on curves. The returned list of points will not
include the first on curve point.
false curves (where the off curves are not any
different from the on curves) must not be sent here.
duplicate points ... | Lib/booleanOperations/flatten.py | def _flattenSegment(segment, approximateSegmentLength=_approximateSegmentLength):
"""
Flatten the curve segment int a list of points.
The first and last points in the segment must be
on curves. The returned list of points will not
include the first on curve point.
false curves (where the off cur... | def _flattenSegment(segment, approximateSegmentLength=_approximateSegmentLength):
"""
Flatten the curve segment int a list of points.
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train | _estimateCubicCurveLength | Estimate the length of this curve by iterating
through it and averaging the length of the flat bits. | Lib/booleanOperations/flatten.py | def _estimateCubicCurveLength(pt0, pt1, pt2, pt3, precision=10):
"""
Estimate the length of this curve by iterating
through it and averaging the length of the flat bits.
"""
points = []
length = 0
step = 1.0 / precision
factors = range(0, precision + 1)
for i in factors:
poin... | def _estimateCubicCurveLength(pt0, pt1, pt2, pt3, precision=10):
"""
Estimate the length of this curve by iterating
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points = []
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train | _mid | (Point, Point) -> Point
Return the point that lies in between the two input points. | Lib/booleanOperations/flatten.py | def _mid(pt1, pt2):
"""
(Point, Point) -> Point
Return the point that lies in between the two input points.
"""
(x0, y0), (x1, y1) = pt1, pt2
return 0.5 * (x0 + x1), 0.5 * (y0 + y1) | def _mid(pt1, pt2):
"""
(Point, Point) -> Point
Return the point that lies in between the two input points.
"""
(x0, y0), (x1, y1) = pt1, pt2
return 0.5 * (x0 + x1), 0.5 * (y0 + y1) | [
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train | InputSegment.split | Split the segment according the t values | Lib/booleanOperations/flatten.py | def split(self, tValues):
"""
Split the segment according the t values
"""
if self.segmentType == "curve":
on1 = self.previousOnCurve
off1 = self.points[0].coordinates
off2 = self.points[1].coordinates
on2 = self.points[2].coordinates
... | def split(self, tValues):
"""
Split the segment according the t values
"""
if self.segmentType == "curve":
on1 = self.previousOnCurve
off1 = self.points[0].coordinates
off2 = self.points[1].coordinates
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train | InputSegment.tValueForPoint | get a t values for a given point
required:
the point must be a point on the curve.
in an overlap cause the point will be an intersection points wich is alwasy a point on the curve | Lib/booleanOperations/flatten.py | def tValueForPoint(self, point):
"""
get a t values for a given point
required:
the point must be a point on the curve.
in an overlap cause the point will be an intersection points wich is alwasy a point on the curve
"""
if self.segmentType == "curve":
... | def tValueForPoint(self, point):
"""
get a t values for a given point
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the point must be a point on the curve.
in an overlap cause the point will be an intersection points wich is alwasy a point on the curve
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train | ContourPointDataPen.getData | Return a list of normalized InputPoint objects
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"""
Return a list of normalized InputPoint objects
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"""
# organize the points into segments
# 1. make sure there is an on curve
haveOnCurve = False
for point in self._points:
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"""
Return a list of normalized InputPoint objects
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train | OutputContour.reCurveFromEntireInputContour | Match if entire input contour matches entire output contour,
allowing for different start point. | Lib/booleanOperations/flatten.py | def reCurveFromEntireInputContour(self, inputContour):
"""
Match if entire input contour matches entire output contour,
allowing for different start point.
"""
if self.clockwise:
inputFlat = inputContour.clockwiseFlat
else:
inputFlat = inputContour... | def reCurveFromEntireInputContour(self, inputContour):
"""
Match if entire input contour matches entire output contour,
allowing for different start point.
"""
if self.clockwise:
inputFlat = inputContour.clockwiseFlat
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train | _is_custom_qs_manager | Checks if a function definition is a queryset manager created
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"""Checks if a function definition is a queryset manager created
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decors = getattr(funcdef, 'decorators', None)
if decors:
for dec in decors.get_children():
try:
if dec.name == 'queryset_mana... | def _is_custom_qs_manager(funcdef):
"""Checks if a function definition is a queryset manager created
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decors = getattr(funcdef, 'decorators', None)
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train | _is_call2custom_manager | Checks if the call is being done to a custom queryset manager. | pylint_mongoengine/suppression.py | def _is_call2custom_manager(node):
"""Checks if the call is being done to a custom queryset manager."""
called = safe_infer(node.func)
funcdef = getattr(called, '_proxied', None)
return _is_custom_qs_manager(funcdef) | def _is_call2custom_manager(node):
"""Checks if the call is being done to a custom queryset manager."""
called = safe_infer(node.func)
funcdef = getattr(called, '_proxied', None)
return _is_custom_qs_manager(funcdef) | [
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train | _is_custom_manager_attribute | Checks if the attribute is a valid attribute for a queryset manager. | pylint_mongoengine/suppression.py | def _is_custom_manager_attribute(node):
"""Checks if the attribute is a valid attribute for a queryset manager.
"""
attrname = node.attrname
if not name_is_from_qs(attrname):
return False
for attr in node.get_children():
inferred = safe_infer(attr)
funcdef = getattr(inferre... | def _is_custom_manager_attribute(node):
"""Checks if the attribute is a valid attribute for a queryset manager.
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attrname = node.attrname
if not name_is_from_qs(attrname):
return False
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train | GroupPermissionService.by_group_and_perm | return by by_user_and_perm and permission name
:param group_id:
:param perm_name:
:param db_session:
:return: | ziggurat_foundations/models/services/group_permission.py | def by_group_and_perm(cls, group_id, perm_name, db_session=None):
"""
return by by_user_and_perm and permission name
:param group_id:
:param perm_name:
:param db_session:
:return:
"""
db_session = get_db_session(db_session)
query = db_session.quer... | def by_group_and_perm(cls, group_id, perm_name, db_session=None):
"""
return by by_user_and_perm and permission name
:param group_id:
:param perm_name:
:param db_session:
:return:
"""
db_session = get_db_session(db_session)
query = db_session.quer... | [
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] | ergo/ziggurat_foundations | python | https://github.com/ergo/ziggurat_foundations/blob/9eeec894d08e8d7defa60ddc04b63f69cd4cbeba/ziggurat_foundations/models/services/group_permission.py#L26-L38 | [
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train | serve_forever | Starts the gevent-socketio server. | gnotty/server.py | def serve_forever(django=False):
"""
Starts the gevent-socketio server.
"""
logger = getLogger("irc.dispatch")
logger.setLevel(settings.LOG_LEVEL)
logger.addHandler(StreamHandler())
app = IRCApplication(django)
server = SocketIOServer((settings.HTTP_HOST, settings.HTTP_PORT), app)
pr... | def serve_forever(django=False):
"""
Starts the gevent-socketio server.
"""
logger = getLogger("irc.dispatch")
logger.setLevel(settings.LOG_LEVEL)
logger.addHandler(StreamHandler())
app = IRCApplication(django)
server = SocketIOServer((settings.HTTP_HOST, settings.HTTP_PORT), app)
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train | kill | Attempts to shut down a previously started daemon. | gnotty/server.py | def kill(pid_file):
"""
Attempts to shut down a previously started daemon.
"""
try:
with open(pid_file) as f:
os.kill(int(f.read()), 9)
os.remove(pid_file)
except (IOError, OSError):
return False
return True | def kill(pid_file):
"""
Attempts to shut down a previously started daemon.
"""
try:
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os.kill(int(f.read()), 9)
os.remove(pid_file)
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return False
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train | run | CLI entry point. Parses args and starts the gevent-socketio server. | gnotty/server.py | def run():
"""
CLI entry point. Parses args and starts the gevent-socketio server.
"""
settings.parse_args()
pid_name = "gnotty-%s-%s.pid" % (settings.HTTP_HOST, settings.HTTP_PORT)
pid_file = settings.PID_FILE or os.path.join(gettempdir(), pid_name)
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CLI entry point. Parses args and starts the gevent-socketio server.
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pid_name = "gnotty-%s-%s.pid" % (settings.HTTP_HOST, settings.HTTP_PORT)
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train | IRCNamespace.on_start | A WebSocket session has started - create a greenlet to host
the IRC client, and start it. | gnotty/server.py | def on_start(self, host, port, channel, nickname, password):
"""
A WebSocket session has started - create a greenlet to host
the IRC client, and start it.
"""
self.client = WebSocketIRCClient(host, port, channel, nickname,
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... | def on_start(self, host, port, channel, nickname, password):
"""
A WebSocket session has started - create a greenlet to host
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"""
self.client = WebSocketIRCClient(host, port, channel, nickname,
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train | IRCNamespace.disconnect | WebSocket was disconnected - leave the IRC channel. | gnotty/server.py | def disconnect(self, *args, **kwargs):
"""
WebSocket was disconnected - leave the IRC channel.
"""
quit_message = "%s %s" % (settings.GNOTTY_VERSION_STRING,
settings.GNOTTY_PROJECT_URL)
self.client.connection.quit(quit_message)
super(IRCN... | def disconnect(self, *args, **kwargs):
"""
WebSocket was disconnected - leave the IRC channel.
"""
quit_message = "%s %s" % (settings.GNOTTY_VERSION_STRING,
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self.client.connection.quit(quit_message)
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train | IRCApplication.bot_watcher | Thread (greenlet) that will try and reconnect the bot if
it's not connected. | gnotty/server.py | def bot_watcher(self):
"""
Thread (greenlet) that will try and reconnect the bot if
it's not connected.
"""
default_interval = 5
interval = default_interval
while True:
if not self.bot.connection.connected:
if self.bot.reconnect():
... | def bot_watcher(self):
"""
Thread (greenlet) that will try and reconnect the bot if
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"""
default_interval = 5
interval = default_interval
while True:
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train | IRCApplication.respond_webhook | Passes the request onto a bot with a webhook if the webhook
path is requested. | gnotty/server.py | def respond_webhook(self, environ):
"""
Passes the request onto a bot with a webhook if the webhook
path is requested.
"""
request = FieldStorage(fp=environ["wsgi.input"], environ=environ)
url = environ["PATH_INFO"]
params = dict([(k, request[k].value) for k in re... | def respond_webhook(self, environ):
"""
Passes the request onto a bot with a webhook if the webhook
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"""
request = FieldStorage(fp=environ["wsgi.input"], environ=environ)
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train | IRCApplication.respond_static | Serves a static file when Django isn't being used. | gnotty/server.py | def respond_static(self, environ):
"""
Serves a static file when Django isn't being used.
"""
path = os.path.normpath(environ["PATH_INFO"])
if path == "/":
content = self.index()
content_type = "text/html"
else:
path = os.path.join(os.p... | def respond_static(self, environ):
"""
Serves a static file when Django isn't being used.
"""
path = os.path.normpath(environ["PATH_INFO"])
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train | IRCApplication.index | Loads the chat interface template when Django isn't being
used, manually dealing with the Django template bits. | gnotty/server.py | def index(self):
"""
Loads the chat interface template when Django isn't being
used, manually dealing with the Django template bits.
"""
root_dir = os.path.dirname(__file__)
template_dir = os.path.join(root_dir, "templates", "gnotty")
with open(os.path.join(templa... | def index(self):
"""
Loads the chat interface template when Django isn't being
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root_dir = os.path.dirname(__file__)
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train | IRCApplication.authorized | If we're running Django and ``GNOTTY_LOGIN_REQUIRED`` is set
to ``True``, pull the session cookie from the environment and
validate that the user is authenticated. | gnotty/server.py | def authorized(self, environ):
"""
If we're running Django and ``GNOTTY_LOGIN_REQUIRED`` is set
to ``True``, pull the session cookie from the environment and
validate that the user is authenticated.
"""
if self.django and settings.LOGIN_REQUIRED:
try:
... | def authorized(self, environ):
"""
If we're running Django and ``GNOTTY_LOGIN_REQUIRED`` is set
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validate that the user is authenticated.
"""
if self.django and settings.LOGIN_REQUIRED:
try:
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train | Migration.forwards | Write your forwards methods here. | gnotty/migrations/0003_joins_leaves.py | def forwards(self, orm):
"Write your forwards methods here."
# Note: Remember to use orm['appname.ModelName'] rather than "from appname.models..."
if not db.dry_run:
orm['gnotty.IRCMessage'].objects.filter(message="joins").update(join_or_leave=True)
orm['gnotty.IRCMessage... | def forwards(self, orm):
"Write your forwards methods here."
# Note: Remember to use orm['appname.ModelName'] rather than "from appname.models..."
if not db.dry_run:
orm['gnotty.IRCMessage'].objects.filter(message="joins").update(join_or_leave=True)
orm['gnotty.IRCMessage... | [
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train | resource_permissions_for_users | Returns permission tuples that match one of passed permission names
perm_names - list of permissions that can be matched
user_ids - restrict to specific users
group_ids - restrict to specific groups
resource_ids - restrict to specific resources
limit_group_permissions - should be used if we do not w... | ziggurat_foundations/permissions.py | def resource_permissions_for_users(
models_proxy,
perm_names,
resource_ids=None,
user_ids=None,
group_ids=None,
resource_types=None,
limit_group_permissions=False,
skip_user_perms=False,
skip_group_perms=False,
db_session=None,
):
"""
Returns permission tuples that match ... | def resource_permissions_for_users(
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resource_ids=None,
user_ids=None,
group_ids=None,
resource_types=None,
limit_group_permissions=False,
skip_user_perms=False,
skip_group_perms=False,
db_session=None,
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train | permission_to_04_acls | Legacy acl format kept for bw. compatibility
:param permissions:
:return: | ziggurat_foundations/permissions.py | def permission_to_04_acls(permissions):
"""
Legacy acl format kept for bw. compatibility
:param permissions:
:return:
"""
acls = []
for perm in permissions:
if perm.type == "user":
acls.append((perm.user.id, perm.perm_name))
elif perm.type == "group":
... | def permission_to_04_acls(permissions):
"""
Legacy acl format kept for bw. compatibility
:param permissions:
:return:
"""
acls = []
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train | permission_to_pyramid_acls | Returns a list of permissions in a format understood by pyramid
:param permissions:
:return: | ziggurat_foundations/permissions.py | def permission_to_pyramid_acls(permissions):
"""
Returns a list of permissions in a format understood by pyramid
:param permissions:
:return:
"""
acls = []
for perm in permissions:
if perm.type == "user":
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Returns a list of permissions in a format understood by pyramid
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acls = []
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train | ChunkBy | [
{
'self': [1, 1, 3, 3, 1, 1],
'f': lambda x: x%2,
'assert': lambda ret: ret == [[1, 1], [3, 3], [1, 1]]
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] | linq/standard/general.py | def ChunkBy(self, f=None):
"""
[
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'f': lambda x: x%2,
'assert': lambda ret: ret == [[1, 1], [3, 3], [1, 1]]
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"""
if f is None:
return _chunk(self)
if is_to_destruct(f):
f = destruct_func(f)
r... | def ChunkBy(self, f=None):
"""
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'f': lambda x: x%2,
'assert': lambda ret: ret == [[1, 1], [3, 3], [1, 1]]
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train | GroupBy | [
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train | Take | [
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train | TakeIf | [
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train | TakeWhile | [
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train | Skip | [
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train | Shift | [
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train | Concat | [
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"""
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train | BaseModel.get_appstruct | return list of tuples keys and values corresponding to this model's
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train | BaseModel.delete | Deletes the object via session, this will permanently delete the
object from storage on commit
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"""
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:param db_session:
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"""
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train | HX711.power_down | turn off the HX711
:return: always True
:rtype bool | hx711/__init__.py | def power_down(self):
"""
turn off the HX711
:return: always True
:rtype bool
"""
GPIO.output(self._pd_sck, False)
GPIO.output(self._pd_sck, True)
time.sleep(0.01)
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"""
turn off the HX711
:return: always True
:rtype bool
"""
GPIO.output(self._pd_sck, False)
GPIO.output(self._pd_sck, True)
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:return: always True
:rtype bool | hx711/__init__.py | def power_up(self):
"""
power up the HX711
:return: always True
:rtype bool
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:rtype bool
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GPIO.output(self._pd_sck, False)
time.sleep(0.01)
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train | HX711.reset | reset the HX711 and prepare it for the next reading
:return: True on success
:rtype bool
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"""
reset the HX711 and prepare it for the next reading
:return: True on success
:rtype bool
:raises GenericHX711Exception
"""
logging.debug("power down")
self.power_down()
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logging.debug("power down")
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