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ajdavis/mongo-mockup-db | mockupdb/__init__.py | Request.client_port | def client_port(self):
"""Client connection's TCP port."""
address = self._client.getpeername()
if isinstance(address, tuple):
return address[1]
# Maybe a Unix domain socket connection.
return 0 | python | def client_port(self):
"""Client connection's TCP port."""
address = self._client.getpeername()
if isinstance(address, tuple):
return address[1]
# Maybe a Unix domain socket connection.
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ajdavis/mongo-mockup-db | mockupdb/__init__.py | Request.command_err | def command_err(self, code=1, errmsg='MockupDB command failure',
*args, **kwargs):
"""Error reply to a command.
Returns True so it is suitable as an `~MockupDB.autoresponds` handler.
"""
kwargs.setdefault('ok', 0)
kwargs['code'] = code
kwargs['errmsg'... | python | def command_err(self, code=1, errmsg='MockupDB command failure',
*args, **kwargs):
"""Error reply to a command.
Returns True so it is suitable as an `~MockupDB.autoresponds` handler.
"""
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ajdavis/mongo-mockup-db | mockupdb/__init__.py | OpMsg.unpack | def unpack(cls, msg, client, server, request_id):
"""Parse message and return an `OpMsg`.
Takes the client message as bytes, the client and server socket objects,
and the client request id.
"""
payload_document = OrderedDict()
flags, = _UNPACK_UINT(msg[:4])
pos =... | python | def unpack(cls, msg, client, server, request_id):
"""Parse message and return an `OpMsg`.
Takes the client message as bytes, the client and server socket objects,
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ajdavis/mongo-mockup-db | mockupdb/__init__.py | OpQuery.unpack | def unpack(cls, msg, client, server, request_id):
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Takes the client message as bytes, the client and server socket objects,
and the client request id.
"""
flags, = _UNPACK_INT(msg[:4])
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"""Parse message and return an `OpQuery` or `Command`.
Takes the client message as bytes, the client and server socket objects,
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"""
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ajdavis/mongo-mockup-db | mockupdb/__init__.py | OpGetMore.unpack | def unpack(cls, msg, client, server, request_id):
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Takes the client message as bytes, the client and server socket objects,
and the client request id.
"""
flags, = _UNPACK_INT(msg[:4])
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... | python | def unpack(cls, msg, client, server, request_id):
"""Parse message and return an `OpGetMore`.
Takes the client message as bytes, the client and server socket objects,
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ajdavis/mongo-mockup-db | mockupdb/__init__.py | OpKillCursors.unpack | def unpack(cls, msg, client, server, _):
"""Parse message and return an `OpKillCursors`.
Takes the client message as bytes, the client and server socket objects,
and the client request id.
"""
# Leading 4 bytes are reserved.
num_of_cursor_ids, = _UNPACK_INT(msg[4:8])
... | python | def unpack(cls, msg, client, server, _):
"""Parse message and return an `OpKillCursors`.
Takes the client message as bytes, the client and server socket objects,
and the client request id.
"""
# Leading 4 bytes are reserved.
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ajdavis/mongo-mockup-db | mockupdb/__init__.py | OpInsert.unpack | def unpack(cls, msg, client, server, request_id):
"""Parse message and return an `OpInsert`.
Takes the client message as bytes, the client and server socket objects,
and the client request id.
"""
flags, = _UNPACK_INT(msg[:4])
namespace, pos = _get_c_string(msg, 4)
... | python | def unpack(cls, msg, client, server, request_id):
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Takes the client message as bytes, the client and server socket objects,
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ajdavis/mongo-mockup-db | mockupdb/__init__.py | OpReply.reply_bytes | def reply_bytes(self, request):
"""Take a `Request` and return an OP_REPLY message as bytes."""
flags = struct.pack("<i", self._flags)
cursor_id = struct.pack("<q", self._cursor_id)
starting_from = struct.pack("<i", self._starting_from)
number_returned = struct.pack("<i", len(sel... | python | def reply_bytes(self, request):
"""Take a `Request` and return an OP_REPLY message as bytes."""
flags = struct.pack("<i", self._flags)
cursor_id = struct.pack("<q", self._cursor_id)
starting_from = struct.pack("<i", self._starting_from)
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ajdavis/mongo-mockup-db | mockupdb/__init__.py | OpMsgReply.reply_bytes | def reply_bytes(self, request):
"""Take a `Request` and return an OP_MSG message as bytes."""
flags = struct.pack("<I", self._flags)
payload_type = struct.pack("<b", 0)
payload_data = bson.BSON.encode(self.doc)
data = b''.join([flags, payload_type, payload_data])
reply_i... | python | def reply_bytes(self, request):
"""Take a `Request` and return an OP_MSG message as bytes."""
flags = struct.pack("<I", self._flags)
payload_type = struct.pack("<b", 0)
payload_data = bson.BSON.encode(self.doc)
data = b''.join([flags, payload_type, payload_data])
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ajdavis/mongo-mockup-db | mockupdb/__init__.py | MockupDB.run | def run(self):
"""Begin serving. Returns the bound port, or 0 for domain socket."""
self._listening_sock, self._address = (
bind_domain_socket(self._address)
if self._uds_path
else bind_tcp_socket(self._address))
if self._ssl:
certfile = os.path.j... | python | def run(self):
"""Begin serving. Returns the bound port, or 0 for domain socket."""
self._listening_sock, self._address = (
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ajdavis/mongo-mockup-db | mockupdb/__init__.py | MockupDB.stop | def stop(self):
"""Stop serving. Always call this to clean up after yourself."""
self._stopped = True
threads = [self._accept_thread]
threads.extend(self._server_threads)
self._listening_sock.close()
for sock in list(self._server_socks):
try:
s... | python | def stop(self):
"""Stop serving. Always call this to clean up after yourself."""
self._stopped = True
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ajdavis/mongo-mockup-db | mockupdb/__init__.py | MockupDB.receives | def receives(self, *args, **kwargs):
"""Pop the next `Request` and assert it matches.
Returns None if the server is stopped.
Pass a `Request` or request pattern to specify what client request to
expect. See the tutorial for examples. Pass ``timeout`` as a keyword
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ajdavis/mongo-mockup-db | mockupdb/__init__.py | MockupDB.autoresponds | def autoresponds(self, matcher, *args, **kwargs):
"""Send a canned reply to all matching client requests.
``matcher`` is a `Matcher` or a command name, or an instance of
`OpInsert`, `OpQuery`, etc.
>>> s = MockupDB()
>>> port = s.run()
>>>
>>> from pymon... | python | def autoresponds(self, matcher, *args, **kwargs):
"""Send a canned reply to all matching client requests.
``matcher`` is a `Matcher` or a command name, or an instance of
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>>> s = MockupDB()
>>> port = s.run()
>>>
>>> from pymon... | [
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ajdavis/mongo-mockup-db | mockupdb/__init__.py | MockupDB.append_responder | def append_responder(self, matcher, *args, **kwargs):
"""Add a responder of last resort.
Like `.autoresponds`, but instead of adding a responder to the top of
the stack, add it to the bottom. This responder will be called if no
others match.
"""
return self._insert_respo... | python | def append_responder(self, matcher, *args, **kwargs):
"""Add a responder of last resort.
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the stack, add it to the bottom. This responder will be called if no
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ajdavis/mongo-mockup-db | mockupdb/__init__.py | MockupDB.uri | def uri(self):
"""Connection string to pass to `~pymongo.mongo_client.MongoClient`."""
if self._uds_path:
uri = 'mongodb://%s' % (quote_plus(self._uds_path),)
else:
uri = 'mongodb://%s' % (format_addr(self._address),)
return uri + '/?ssl=true' if self._ssl else ur... | python | def uri(self):
"""Connection string to pass to `~pymongo.mongo_client.MongoClient`."""
if self._uds_path:
uri = 'mongodb://%s' % (quote_plus(self._uds_path),)
else:
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ajdavis/mongo-mockup-db | mockupdb/__init__.py | MockupDB._accept_loop | def _accept_loop(self):
"""Accept client connections and spawn a thread for each."""
self._listening_sock.setblocking(0)
while not self._stopped and not _shutting_down:
try:
# Wait a short time to accept.
if select.select([self._listening_sock.fileno()... | python | def _accept_loop(self):
"""Accept client connections and spawn a thread for each."""
self._listening_sock.setblocking(0)
while not self._stopped and not _shutting_down:
try:
# Wait a short time to accept.
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ajdavis/mongo-mockup-db | mockupdb/__init__.py | MockupDB._server_loop | def _server_loop(self, client, client_addr):
"""Read requests from one client socket, 'client'."""
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02strich/django-auth-kerberos | django_auth_kerberos/backends.py | KrbBackend.check_password | def check_password(self, username, password):
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ajdavis/mongo-mockup-db | mockupdb/__main__.py | main | def main():
"""Start an interactive `MockupDB`.
Use like ``python -m mockupdb``.
"""
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"""Start an interactive `MockupDB`.
Use like ``python -m mockupdb``.
"""
from optparse import OptionParser
parser = OptionParser('Start mock MongoDB server')
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stephantul/somber | somber/som.py | BaseSom._initialize_distance_grid | def _initialize_distance_grid(self):
"""Initialize the distance grid by calls to _grid_dist."""
p = [self._grid_distance(i) for i in range(self.num_neurons)]
return np.array(p) | python | def _initialize_distance_grid(self):
"""Initialize the distance grid by calls to _grid_dist."""
p = [self._grid_distance(i) for i in range(self.num_neurons)]
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stephantul/somber | somber/som.py | BaseSom._grid_distance | def _grid_distance(self, index):
"""
Calculate the distance grid for a single index position.
This is pre-calculated for fast neighborhood calculations
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"""
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Calculate the distance grid for a single index position.
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stephantul/somber | somber/som.py | BaseSom.topographic_error | def topographic_error(self, X, batch_size=1):
"""
Calculate the topographic error.
The topographic error is a measure of the spatial organization of the
map. Maps in which the most similar neurons are also close on the
grid have low topographic error and indicate that a problem ... | python | def topographic_error(self, X, batch_size=1):
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stephantul/somber | somber/som.py | BaseSom.neighbors | def neighbors(self, distance=2.0):
"""Get all neighbors for all neurons."""
dgrid = self.distance_grid.reshape(self.num_neurons, self.num_neurons)
for x, y in zip(*np.nonzero(dgrid <= distance)):
if x != y:
yield x, y | python | def neighbors(self, distance=2.0):
"""Get all neighbors for all neurons."""
dgrid = self.distance_grid.reshape(self.num_neurons, self.num_neurons)
for x, y in zip(*np.nonzero(dgrid <= distance)):
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stephantul/somber | somber/som.py | BaseSom.neighbor_difference | def neighbor_difference(self):
"""Get the euclidean distance between a node and its neighbors."""
differences = np.zeros(self.num_neurons)
num_neighbors = np.zeros(self.num_neurons)
distance, _ = self.distance_function(self.weights, self.weights)
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"""Get the euclidean distance between a node and its neighbors."""
differences = np.zeros(self.num_neurons)
num_neighbors = np.zeros(self.num_neurons)
distance, _ = self.distance_function(self.weights, self.weights)
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stephantul/somber | somber/som.py | BaseSom.spread | def spread(self, X):
"""
Calculate the average spread for each node.
The average spread is a measure of how far each neuron is from the
data points which cluster to it.
Parameters
----------
X : numpy array
The input data.
Returns
--... | python | def spread(self, X):
"""
Calculate the average spread for each node.
The average spread is a measure of how far each neuron is from the
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Parameters
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X : numpy array
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stephantul/somber | somber/som.py | BaseSom.receptive_field | def receptive_field(self,
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Calculate the receptive field of the SOM on some data.
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X,
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max_len=10,
threshold=0.9,
batch_size=1):
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stephantul/somber | somber/som.py | BaseSom.invert_projection | def invert_projection(self, X, identities):
"""
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with the input which matches it the most, thus giving a good
approximation of the "influence" of each input item.
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"""
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stephantul/somber | somber/som.py | BaseSom.map_weights | def map_weights(self):
"""
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soms.
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Reshaped weights for visualization.
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stephantul/somber | somber/som.py | Som.load | def load(cls, path):
"""
Load a SOM from a JSON file saved with this package..
Parameters
----------
path : str
The path to the JSON file.
Returns
-------
s : cls
A som of the specified class.
"""
data = json.load... | python | def load(cls, path):
"""
Load a SOM from a JSON file saved with this package..
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path : str
The path to the JSON file.
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cloudnull/turbolift | turbolift/methods/__init__.py | BaseMethod.remove_dirs | def remove_dirs(self, directory):
"""Delete a directory recursively.
:param directory: $PATH to directory.
:type directory: ``str``
"""
LOG.info('Removing directory [ %s ]', directory)
local_files = self._drectory_local_files(directory=directory)
for file_name i... | python | def remove_dirs(self, directory):
"""Delete a directory recursively.
:param directory: $PATH to directory.
:type directory: ``str``
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LOG.info('Removing directory [ %s ]', directory)
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cloudnull/turbolift | turbolift/methods/__init__.py | BaseMethod._return_container_objects | def _return_container_objects(self):
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The list of objects is a list of dictionaries with the key being
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"""Return a list of objects to delete.
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cloudnull/turbolift | turbolift/methods/__init__.py | BaseMethod._index_fs | def _index_fs(self):
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:returns: ``deque``
"""
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:returns: ``deque``
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cloudnull/turbolift | turbolift/methods/__init__.py | BaseMethod.match_filter | def match_filter(self, idx_list, pattern, dict_type=False,
dict_key='name'):
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:param idx_list:
:return list
"""
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cloudnull/turbolift | turbolift/methods/__init__.py | BaseMethod.print_horiz_table | def print_horiz_table(self, data):
"""Print a horizontal pretty table from data."""
# Build list of returned objects
return_objects = list()
fields = self.job_args.get('fields')
if not fields:
fields = set()
for item_dict in data:
for fiel... | python | def print_horiz_table(self, data):
"""Print a horizontal pretty table from data."""
# Build list of returned objects
return_objects = list()
fields = self.job_args.get('fields')
if not fields:
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cloudnull/turbolift | turbolift/methods/__init__.py | BaseMethod.print_virt_table | def print_virt_table(self, data):
"""Print a vertical pretty table from data."""
table = prettytable.PrettyTable()
keys = sorted(data.keys())
table.add_column('Keys', keys)
table.add_column('Values', [data.get(i) for i in keys])
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cloudnull/turbolift | turbolift/methods/__init__.py | BaseMethod.printer | def printer(self, message, color_level='info'):
"""Print Messages and Log it.
:param message: item to print to screen
"""
if self.job_args.get('colorized'):
print(cloud_utils.return_colorized(msg=message, color=color_level))
else:
print(message) | python | def printer(self, message, color_level='info'):
"""Print Messages and Log it.
:param message: item to print to screen
"""
if self.job_args.get('colorized'):
print(cloud_utils.return_colorized(msg=message, color=color_level))
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cloudnull/turbolift | turbolift/worker.py | Worker._get_method | def _get_method(method):
"""Return an imported object.
:param method: ``str`` DOT notation for import with Colin used to
separate the class used for the job.
:returns: ``object`` Loaded class object from imported method.
"""
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"""Return an imported object.
:param method: ``str`` DOT notation for import with Colin used to
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:returns: ``object`` Loaded class object from imported method.
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cloudnull/turbolift | turbolift/worker.py | Worker.run_manager | def run_manager(self, job_override=None):
"""The run manager.
The run manager is responsible for loading the plugin required based on
what the user has inputted using the parsed_command value as found in
the job_args dict. If the user provides a *job_override* the method
will at... | python | def run_manager(self, job_override=None):
"""The run manager.
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stephantul/somber | somber/components/initializers.py | range_initialization | def range_initialization(X, num_weights):
"""
Initialize the weights by calculating the range of the data.
The data range is calculated by reshaping the input matrix to a
2D matrix, and then taking the min and max values over the columns.
Parameters
----------
X : numpy array
The i... | python | def range_initialization(X, num_weights):
"""
Initialize the weights by calculating the range of the data.
The data range is calculated by reshaping the input matrix to a
2D matrix, and then taking the min and max values over the columns.
Parameters
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X : numpy array
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stephantul/somber | somber/base.py | Base.fit | def fit(self,
X,
num_epochs=10,
updates_epoch=None,
stop_param_updates=dict(),
batch_size=1,
show_progressbar=False,
show_epoch=False,
refit=True):
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Fit the learner to some data.
Parameters
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X,
num_epochs=10,
updates_epoch=None,
stop_param_updates=dict(),
batch_size=1,
show_progressbar=False,
show_epoch=False,
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stephantul/somber | somber/base.py | Base._init_weights | def _init_weights(self,
X):
"""Set the weights and normalize data before starting training."""
X = np.asarray(X, dtype=np.float64)
if self.scaler is not None:
X = self.scaler.fit_transform(X)
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X):
"""Set the weights and normalize data before starting training."""
X = np.asarray(X, dtype=np.float64)
if self.scaler is not None:
X = self.scaler.fit_transform(X)
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stephantul/somber | somber/base.py | Base._pre_train | def _pre_train(self,
stop_param_updates,
num_epochs,
updates_epoch):
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# Calculate the total number of updates given early stopping.
updates = {k: stop_param_updates.get(k, num_epochs) * up... | python | def _pre_train(self,
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stephantul/somber | somber/base.py | Base.fit_predict | def fit_predict(self,
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updates_epoch=10,
stop_param_updates=dict(),
batch_size=1,
show_progressbar=False):
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batch_size=1,
show_progressbar=False):
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stephantul/somber | somber/base.py | Base._update_params | def _update_params(self, constants):
"""Update params and return new influence."""
for k, v in constants.items():
self.params[k]['value'] *= v
influence = self._calculate_influence(self.params['infl']['value'])
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"""Update params and return new influence."""
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stephantul/somber | somber/base.py | Base._create_batches | def _create_batches(self, X, batch_size, shuffle_data=True):
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stephantul/somber | somber/base.py | Base._propagate | def _propagate(self, x, influences, **kwargs):
"""Propagate a single batch of examples through the network."""
activation, difference_x = self.forward(x)
update = self.backward(difference_x, influences, activation)
# If batch size is 1 we can leave out the call to mean.
if update... | python | def _propagate(self, x, influences, **kwargs):
"""Propagate a single batch of examples through the network."""
activation, difference_x = self.forward(x)
update = self.backward(difference_x, influences, activation)
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The input data.
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Transform input to a distance matrix by measuring the L2 distance.
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stephantul/somber | somber/base.py | Base.predict | def predict(self, X, batch_size=1, show_progressbar=False):
"""
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Parameters
----------
X : numpy array.
The input data.
batch_size : int, optional, default 100
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stephantul/somber | somber/base.py | Base.quantization_error | def quantization_error(self, X, batch_size=1):
"""
Calculate the quantization error.
Find the the minimum euclidean distance between the units and
some input.
Parameters
----------
X : numpy array.
The input data.
batch_size : int
... | python | def quantization_error(self, X, batch_size=1):
"""
Calculate the quantization error.
Find the the minimum euclidean distance between the units and
some input.
Parameters
----------
X : numpy array.
The input data.
batch_size : int
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stephantul/somber | somber/base.py | Base.load | def load(cls, path):
"""
Load a SOM from a JSON file saved with this package.
Parameters
----------
path : str
The path to the JSON file.
Returns
-------
s : cls
A som of the specified class.
"""
data = json.load(... | python | def load(cls, path):
"""
Load a SOM from a JSON file saved with this package.
Parameters
----------
path : str
The path to the JSON file.
Returns
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s : cls
A som of the specified class.
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stephantul/somber | somber/base.py | Base.save | def save(self, path):
"""Save a SOM to a JSON file."""
to_save = {}
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if type(attr) == np.ndarray:
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"""Save a SOM to a JSON file."""
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cloudnull/turbolift | turbolift/authentication/utils.py | get_authversion | def get_authversion(job_args):
"""Get or infer the auth version.
Based on the information found in the *AUTH_VERSION_MAP* the authentication
version will be set to a correct value as determined by the
**os_auth_version** parameter as found in the `job_args`.
:param job_args: ``dict``
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"""Get or infer the auth version.
Based on the information found in the *AUTH_VERSION_MAP* the authentication
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cloudnull/turbolift | turbolift/authentication/utils.py | V1Authentication.get_headers | def get_headers(self):
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"""Setup headers for authentication request."""
try:
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cloudnull/turbolift | turbolift/authentication/utils.py | OSAuthentication.auth_request | def auth_request(self, url, headers, body):
"""Perform auth request for token."""
return self.req.post(url, headers, body=body) | python | def auth_request(self, url, headers, body):
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cloudnull/turbolift | turbolift/authentication/utils.py | OSAuthentication.parse_reqtype | def parse_reqtype(self):
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cloudnull/turbolift | turbolift/executable.py | execute | def execute():
"""This is the run section of the application Turbolift."""
if len(sys.argv) <= 1:
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# Capture user arguments
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"""This is the run section of the application Turbolift."""
if len(sys.argv) <= 1:
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Clivern/PyLogging | pylogging/storage.py | TextStorage.write | def write(self, log_file, msg):
""" Append message to .log file """
try:
with open(log_file, 'a') as LogFile:
LogFile.write(msg + os.linesep)
except:
raise Exception('Error Configuring PyLogger.TextStorage Class.')
return os.path.isfile(log_file) | python | def write(self, log_file, msg):
""" Append message to .log file """
try:
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except:
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stephantul/somber | somber/components/utilities.py | Scaler.fit | def fit(self, X):
"""
Fit the scaler based on some data.
Takes the columnwise mean and standard deviation of the entire input
array.
If the array has more than 2 dimensions, it is flattened.
Parameters
----------
X : numpy array
Returns
... | python | def fit(self, X):
"""
Fit the scaler based on some data.
Takes the columnwise mean and standard deviation of the entire input
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If the array has more than 2 dimensions, it is flattened.
Parameters
----------
X : numpy array
Returns
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stephantul/somber | somber/components/utilities.py | Scaler.transform | def transform(self, X):
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raise ValueError("The scaler has not been fit yet.")
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"""Transform your data to zero mean unit variance."""
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cloudnull/turbolift | turbolift/clouderator/utils.py | stupid_hack | def stupid_hack(most=10, wait=None):
"""Return a random time between 1 - 10 Seconds."""
# Stupid Hack For Public Cloud so it is not overwhelmed with API requests.
if wait is not None:
time.sleep(wait)
else:
time.sleep(random.randrange(1, most)) | python | def stupid_hack(most=10, wait=None):
"""Return a random time between 1 - 10 Seconds."""
# Stupid Hack For Public Cloud so it is not overwhelmed with API requests.
if wait is not None:
time.sleep(wait)
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cloudnull/turbolift | turbolift/clouderator/utils.py | time_stamp | def time_stamp():
"""Setup time functions
:returns: ``tuple``
"""
# Time constants
fmt = '%Y-%m-%dT%H:%M:%S.%f'
date = datetime.datetime
date_delta = datetime.timedelta
now = datetime.datetime.utcnow()
return fmt, date, date_delta, now | python | def time_stamp():
"""Setup time functions
:returns: ``tuple``
"""
# Time constants
fmt = '%Y-%m-%dT%H:%M:%S.%f'
date = datetime.datetime
date_delta = datetime.timedelta
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cloudnull/turbolift | turbolift/clouderator/utils.py | unique_list_dicts | def unique_list_dicts(dlist, key):
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:param key:
:return list:
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cloudnull/turbolift | turbolift/clouderator/utils.py | quoter | def quoter(obj):
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The quote function will return a URL encoded string. If there is an
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string will be returned as it will be assumed to already be URL
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:param obj: ``basestring``
:return: ``str``... | python | def quoter(obj):
"""Return a Quoted URL.
The quote function will return a URL encoded string. If there is an
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string will be returned as it will be assumed to already be URL
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cloudnull/turbolift | turbolift/methods/clone.py | CloneRunMethod.start | def start(self):
"""Clone objects from one container to another.
This method was built to clone a container between data-centers while
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token will be valid within the two data centers.
"""
LOG.info('Cl... | python | def start(self):
"""Clone objects from one container to another.
This method was built to clone a container between data-centers while
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"""
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cloudnull/turbolift | turbolift/authentication/auth.py | authenticate | def authenticate(job_args):
"""Authentication For Openstack API.
Pulls the full Openstack Service Catalog Credentials are the Users API
Username and Key/Password.
Set a DC Endpoint and Authentication URL for the OpenStack environment
"""
# Load any authentication plugins as needed
job_arg... | python | def authenticate(job_args):
"""Authentication For Openstack API.
Pulls the full Openstack Service Catalog Credentials are the Users API
Username and Key/Password.
Set a DC Endpoint and Authentication URL for the OpenStack environment
"""
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Clivern/PyLogging | pylogging/pylogging.py | PyLogging.getConfig | def getConfig(self, key):
""" Get a Config Value """
if hasattr(self, key):
return getattr(self, key)
else:
return False | python | def getConfig(self, key):
""" Get a Config Value """
if hasattr(self, key):
return getattr(self, key)
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Clivern/PyLogging | pylogging/pylogging.py | PyLogging.addFilter | def addFilter(self, filter):
""" Register Custom Filter """
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return "FILTER#{}".format(len(self.FILTERS) - 1) | python | def addFilter(self, filter):
""" Register Custom Filter """
self.FILTERS.append(filter)
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Clivern/PyLogging | pylogging/pylogging.py | PyLogging.addAction | def addAction(self, action):
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return "ACTION#{}".format(len(self.ACTIONS) - 1) | python | def addAction(self, action):
""" Register Custom Action """
self.ACTIONS.append(action)
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Clivern/PyLogging | pylogging/pylogging.py | PyLogging.removeFilter | def removeFilter(self, filter):
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filter = filter.split('#')
del self.FILTERS[int(filter[1])]
return True | python | def removeFilter(self, filter):
""" Remove Registered Filter """
filter = filter.split('#')
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Clivern/PyLogging | pylogging/pylogging.py | PyLogging.removeAction | def removeAction(self, action):
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return True | python | def removeAction(self, action):
""" Remove Registered Action """
action = action.split('#')
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Clivern/PyLogging | pylogging/pylogging.py | PyLogging.info | def info(self, msg):
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self._execActions('info', msg)
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""" Log Info Messages """
self._execActions('info', msg)
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Clivern/PyLogging | pylogging/pylogging.py | PyLogging.log | def log(self, msg):
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self._sendMsg('log', msg) | python | def log(self, msg):
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Clivern/PyLogging | pylogging/pylogging.py | PyLogging._processMsg | def _processMsg(self, type, msg):
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# Build absolute Path
log_file = se... | python | def _processMsg(self, type, msg):
""" Process Debug Messages """
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Clivern/PyLogging | pylogging/pylogging.py | PyLogging._configMailer | def _configMailer(self):
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""" Config Mailer Class """
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Clivern/PyLogging | pylogging/pylogging.py | PyLogging._sendMsg | def _sendMsg(self, type, msg):
""" Send Alert Message To Emails """
if self.ALERT_STATUS and type in self.ALERT_TYPES:
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""" Send Alert Message To Emails """
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cloudnull/turbolift | turbolift/__init__.py | auth_plugins | def auth_plugins(auth_plugins=None):
"""Authentication plugins.
Usage, Add any plugin here that will serve as a rapid means to
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Syntax is as follows:
>>> __auth_plugins__ = {
... 'new_plugin_name': {
... 'os_auth_url': 'https://localhost... | python | def auth_plugins(auth_plugins=None):
"""Authentication plugins.
Usage, Add any plugin here that will serve as a rapid means to
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Syntax is as follows:
>>> __auth_plugins__ = {
... 'new_plugin_name': {
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:returns: ``bol``
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stephantul/somber | somber/sequential.py | SequentialMixin.predict_distance | def predict_distance(self, X, batch_size=1, show_progressbar=False):
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----------
x : numpy array
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Perform a forward pass through the network.
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----------
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cloudnull/turbolift | turbolift/clouderator/actions.py | CloudActions._return_base_data | def _return_base_data(self, url, container, container_object=None,
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cloudnull/turbolift | turbolift/clouderator/actions.py | CloudActions._chunk_putter | def _chunk_putter(self, uri, open_file, headers=None):
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cloudnull/turbolift | turbolift/clouderator/actions.py | CloudActions._putter | def _putter(self, uri, headers, local_object=None):
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:param local_object:
"""
if not local_object:
return self.http.put(url=uri, headers=headers)
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cloudnull/turbolift | turbolift/clouderator/actions.py | CloudActions._header_poster | def _header_poster(self, uri, headers):
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:param headers: ``dict``
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cloudnull/turbolift | turbolift/clouderator/actions.py | CloudActions._list_getter | def _list_getter(self, uri, headers, last_obj=None, spr=False):
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cloudnull/turbolift | turbolift/clouderator/actions.py | CloudActions._resp_exception | def _resp_exception(self, resp):
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:param resp:
"""
message = [
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we will look at how we can attempt to resolve the exception.
:param resp: | [
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] | da33034e88959226529ce762e2895e6f6356c448 | https://github.com/cloudnull/turbolift/blob/da33034e88959226529ce762e2895e6f6356c448/turbolift/clouderator/actions.py#L386-L449 | train | 61,895 |
cloudnull/turbolift | turbolift/clouderator/actions.py | CloudActions.list_items | def list_items(self, url, container=None, last_obj=None, spr=False):
"""Builds a long list of objects found in a container.
NOTE: This could be millions of Objects.
:param url:
:param container:
:param last_obj:
:param spr: "single page return" Limit the returned data t... | python | def list_items(self, url, container=None, last_obj=None, spr=False):
"""Builds a long list of objects found in a container.
NOTE: This could be millions of Objects.
:param url:
:param container:
:param last_obj:
:param spr: "single page return" Limit the returned data t... | [
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NOTE: This could be millions of Objects.
:param url:
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:param last_obj:
:param spr: "single page return" Limit the returned data to one page
:type spr: ``bol``
:return None | list: | [
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cloudnull/turbolift | turbolift/clouderator/actions.py | CloudActions.update_object | def update_object(self, url, container, container_object, object_headers,
container_headers):
"""Update an existing object in a swift container.
This method will place new headers on an existing object or container.
:param url:
:param container:
:param con... | python | def update_object(self, url, container, container_object, object_headers,
container_headers):
"""Update an existing object in a swift container.
This method will place new headers on an existing object or container.
:param url:
:param container:
:param con... | [
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This method will place new headers on an existing object or container.
:param url:
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:param container_object: | [
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] | da33034e88959226529ce762e2895e6f6356c448 | https://github.com/cloudnull/turbolift/blob/da33034e88959226529ce762e2895e6f6356c448/turbolift/clouderator/actions.py#L504-L526 | train | 61,897 |
cloudnull/turbolift | turbolift/clouderator/actions.py | CloudActions.container_cdn_command | def container_cdn_command(self, url, container, container_object,
cdn_headers):
"""Command your CDN enabled Container.
:param url:
:param container:
"""
headers, container_uri = self._return_base_data(
url=url,
container=con... | python | def container_cdn_command(self, url, container, container_object,
cdn_headers):
"""Command your CDN enabled Container.
:param url:
:param container:
"""
headers, container_uri = self._return_base_data(
url=url,
container=con... | [
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:param url:
:param container: | [
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] | da33034e88959226529ce762e2895e6f6356c448 | https://github.com/cloudnull/turbolift/blob/da33034e88959226529ce762e2895e6f6356c448/turbolift/clouderator/actions.py#L529-L553 | train | 61,898 |
cloudnull/turbolift | turbolift/clouderator/actions.py | CloudActions.put_container | def put_container(self, url, container, container_headers=None):
"""Create a container if it is not Found.
:param url:
:param container:
"""
headers, container_uri = self._return_base_data(
url=url,
container=container,
container_headers=cont... | python | def put_container(self, url, container, container_headers=None):
"""Create a container if it is not Found.
:param url:
:param container:
"""
headers, container_uri = self._return_base_data(
url=url,
container=container,
container_headers=cont... | [
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:param url:
:param container: | [
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] | da33034e88959226529ce762e2895e6f6356c448 | https://github.com/cloudnull/turbolift/blob/da33034e88959226529ce762e2895e6f6356c448/turbolift/clouderator/actions.py#L556-L576 | train | 61,899 |
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