code stringlengths 75 104k | docstring stringlengths 1 46.9k |
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def printClassTree(self, element=None, showids=False, labels=False, showtype=False):
"""
Print nicely into stdout the class tree of an ontology
Note: indentation is made so that ids up to 3 digits fit in, plus a space.
[123]1--
[1]123--
[12]12--
"""
TYPE_... | Print nicely into stdout the class tree of an ontology
Note: indentation is made so that ids up to 3 digits fit in, plus a space.
[123]1--
[1]123--
[12]12-- |
def _priority_key(pep8_result):
"""Key for sorting PEP8 results.
Global fixes should be done first. This is important for things like
indentation.
"""
priority = [
# Fix multiline colon-based before semicolon based.
'e701',
# Break multiline statements early.
'e702'... | Key for sorting PEP8 results.
Global fixes should be done first. This is important for things like
indentation. |
def create(self, unique_name=values.unset, friendly_name=values.unset,
identity=values.unset, deployment_sid=values.unset,
enabled=values.unset):
"""
Create a new DeviceInstance
:param unicode unique_name: A unique, addressable name of this Device.
:param u... | Create a new DeviceInstance
:param unicode unique_name: A unique, addressable name of this Device.
:param unicode friendly_name: A human readable description for this Device.
:param unicode identity: An identifier of the Device user.
:param unicode deployment_sid: The unique SID of the ... |
def load_key_bindings_for_prompt(**kw):
"""
Create a ``Registry`` object with the defaults key bindings for an input
prompt.
This activates the key bindings for abort/exit (Ctrl-C/Ctrl-D),
incremental search and auto suggestions.
(Not for full screen applications.)
"""
kw.setdefault('e... | Create a ``Registry`` object with the defaults key bindings for an input
prompt.
This activates the key bindings for abort/exit (Ctrl-C/Ctrl-D),
incremental search and auto suggestions.
(Not for full screen applications.) |
def run_nested_groups():
"""Run the nested groups example.
This example shows a PhaseGroup in a PhaseGroup. No phase is terminal, so all
are run in the order;
main_phase
inner_main_phase
inner_teardown_phase
teardown_phase
"""
test = htf.Test(
htf.PhaseGroup(
main=[
... | Run the nested groups example.
This example shows a PhaseGroup in a PhaseGroup. No phase is terminal, so all
are run in the order;
main_phase
inner_main_phase
inner_teardown_phase
teardown_phase |
def delete_webhook(self, scaling_group, policy, webhook):
"""
Deletes the specified webhook from the specified policy.
"""
uri = "/%s/%s/policies/%s/webhooks/%s" % (self.uri_base,
utils.get_id(scaling_group), utils.get_id(policy),
utils.get_id(webhook))
... | Deletes the specified webhook from the specified policy. |
def validate_overwrite_different_input_output(opts):
"""
Make sure that if overwrite is set to False, the input and output folders
are not set to the same location.
:param opts: a namespace containing the attributes 'overwrite', 'input',
and 'output'
:raises ValidationException: if 'input' ... | Make sure that if overwrite is set to False, the input and output folders
are not set to the same location.
:param opts: a namespace containing the attributes 'overwrite', 'input',
and 'output'
:raises ValidationException: if 'input' and 'output' point to the same
directory and 'overwrite' ... |
def api_call(method, end_point, params=None, client_id=None, access_token=None):
"""Call given API end_point with API keys.
:param method: HTTP method (e.g. 'get', 'delete').
:param end_point: API endpoint (e.g. 'users/john/sets').
:param params: Dictionary to be sent in the query string (e.g. {'myparam... | Call given API end_point with API keys.
:param method: HTTP method (e.g. 'get', 'delete').
:param end_point: API endpoint (e.g. 'users/john/sets').
:param params: Dictionary to be sent in the query string (e.g. {'myparam': 'myval'})
:param client_id: Quizlet client ID as string.
:param access_token:... |
def pformat(self, prefix=()):
'''
Makes a pretty ASCII format of the data, suitable for
displaying in a console or saving to a text file.
Returns a list of lines.
'''
nan = float("nan")
def sformat(segment, stat):
FMT = "n={0}, mean={1}, p50/... | Makes a pretty ASCII format of the data, suitable for
displaying in a console or saving to a text file.
Returns a list of lines. |
def connect_to_region(region_name):
"""
Establish connection to AWS API.
"""
logging.debug("Connecting to AWS region '%s'" % region_name)
con = boto.vpc.connect_to_region(region_name)
if not con:
raise VpcRouteSetError("Could not establish connection to "
... | Establish connection to AWS API. |
async def post_heartbeat(self, msg, _context):
"""Update the status of a service."""
name = msg.get('name')
await self.service_manager.send_heartbeat(name) | Update the status of a service. |
def get_published_courses_in_account(self, account_id, params={}):
"""
Return a list of published courses for the passed account ID.
"""
params["published"] = True
return self.get_courses_in_account(account_id, params) | Return a list of published courses for the passed account ID. |
def log(self, msg, level=INFO):
"""Record a line of log in logger
:param str msg: content of the messag
:param level: logging level
:return: None
"""
logger.log(level, '<{}> - '.format(self._name) + msg) | Record a line of log in logger
:param str msg: content of the messag
:param level: logging level
:return: None |
def noisy_layer(self, prefix, action_in, out_size, sigma0,
non_linear=True):
"""
a common dense layer: y = w^{T}x + b
a noisy layer: y = (w + \epsilon_w*\sigma_w)^{T}x +
(b+\epsilon_b*\sigma_b)
where \epsilon are random variables sampled from factorized no... | a common dense layer: y = w^{T}x + b
a noisy layer: y = (w + \epsilon_w*\sigma_w)^{T}x +
(b+\epsilon_b*\sigma_b)
where \epsilon are random variables sampled from factorized normal
distributions and \sigma are trainable variables which are expected to
vanish along the training... |
def printhtml(csvdiffs):
"""print the html"""
soup = BeautifulSoup()
html = Tag(soup, name="html")
para1 = Tag(soup, name="p")
para1.append(csvdiffs[0][0])
para2 = Tag(soup, name="p")
para2.append(csvdiffs[1][0])
table = Tag(soup, name="table")
table.attrs.update(dict(border="1"))
... | print the html |
def entropy(string):
"""Calculate the entropy of a string."""
entropy = 0
for number in range(256):
result = float(string.encode('utf-8').count(
chr(number))) / len(string.encode('utf-8'))
if result != 0:
entropy = entropy - result * math.log(result, 2)
return ent... | Calculate the entropy of a string. |
def quic_graph_lasso_cv(X, metric):
"""Run QuicGraphicalLassoCV on data with metric of choice.
Compare results with GridSearchCV + quic_graph_lasso. The number of
lambdas tested should be much lower with similar final lam_ selected.
"""
print("QuicGraphicalLassoCV with:")
print(" metric: {}"... | Run QuicGraphicalLassoCV on data with metric of choice.
Compare results with GridSearchCV + quic_graph_lasso. The number of
lambdas tested should be much lower with similar final lam_ selected. |
def param_errors(self, pnames=None):
""" Return an array with the parameter errors
Parameters
----------
pname : list of string or none
If a list of strings, get the Parameter objects with those names
If none, get all the Parameter objects
Returns
... | Return an array with the parameter errors
Parameters
----------
pname : list of string or none
If a list of strings, get the Parameter objects with those names
If none, get all the Parameter objects
Returns
-------
~numpy.array of parameter errors... |
def _get_error_context(input_, token):
"""
Build a context string that defines where on the line the defined
error occurs. This consists of the characters ^ at the position
and for the length defined by the lexer position and token length
"""
try:
line = input_[token.lexpos... | Build a context string that defines where on the line the defined
error occurs. This consists of the characters ^ at the position
and for the length defined by the lexer position and token length |
def get_worksheet_keys(data_dict, result_info_key):
"""Gets sorted keys from the dict, ignoring result_info_key and 'meta' key
Args:
data_dict: dict to pull keys from
Returns:
list of keys in the dict other than the result_info_key
"""
keys = set(data_dict.keys())
keys.remove(re... | Gets sorted keys from the dict, ignoring result_info_key and 'meta' key
Args:
data_dict: dict to pull keys from
Returns:
list of keys in the dict other than the result_info_key |
def start():
'''
Start the server loop
'''
from . import app
root, apiopts, conf = app.get_app(__opts__)
if not apiopts.get('disable_ssl', False):
if 'ssl_crt' not in apiopts or 'ssl_key' not in apiopts:
logger.error("Not starting '%s'. Options 'ssl_crt' and "
... | Start the server loop |
def compute_group_count(self, pattern):
"""Compute the number of regexp match groups when the pattern is provided
to the :func:`Cardinality.make_pattern()` method.
:param pattern: Item regexp pattern (as string).
:return: Number of regexp match groups in the cardinality pattern.
... | Compute the number of regexp match groups when the pattern is provided
to the :func:`Cardinality.make_pattern()` method.
:param pattern: Item regexp pattern (as string).
:return: Number of regexp match groups in the cardinality pattern. |
def create_network(self, name, driver=None, options=None, ipam=None,
check_duplicate=None, internal=False, labels=None,
enable_ipv6=False, attachable=None, scope=None,
ingress=None):
"""
Create a network. Similar to the ``docker networ... | Create a network. Similar to the ``docker network create``.
Args:
name (str): Name of the network
driver (str): Name of the driver used to create the network
options (dict): Driver options as a key-value dictionary
ipam (IPAMConfig): Optional custom IP scheme for... |
def starting_expression(source_code, offset):
"""Return the expression to complete"""
word_finder = worder.Worder(source_code, True)
expression, starting, starting_offset = \
word_finder.get_splitted_primary_before(offset)
if expression:
return expression + '.' + starting
return star... | Return the expression to complete |
def get_avg_price_stat(self) -> Decimal:
"""
Calculates the statistical average price for the security,
by averaging only the prices paid. Very simple first implementation.
"""
avg_price = Decimal(0)
price_total = Decimal(0)
price_count = 0
for account i... | Calculates the statistical average price for the security,
by averaging only the prices paid. Very simple first implementation. |
def get_current_instruction(self) -> Dict:
"""Gets the current instruction for this GlobalState.
:return:
"""
instructions = self.environment.code.instruction_list
return instructions[self.mstate.pc] | Gets the current instruction for this GlobalState.
:return: |
def insert_contribution_entries(database, entries):
"""Insert a set of records of a contribution report in the provided database.
Insert a set of new records into the provided database without checking
for conflicting entries.
@param database: The MongoDB database to operate on. The contributions
... | Insert a set of records of a contribution report in the provided database.
Insert a set of new records into the provided database without checking
for conflicting entries.
@param database: The MongoDB database to operate on. The contributions
collection will be used from this database.
@type d... |
def read_rle(file_obj, header, bit_width, debug_logging):
"""Read a run-length encoded run from the given fo with the given header and bit_width.
The count is determined from the header and the width is used to grab the
value that's repeated. Yields the value repeated count times.
"""
count = heade... | Read a run-length encoded run from the given fo with the given header and bit_width.
The count is determined from the header and the width is used to grab the
value that's repeated. Yields the value repeated count times. |
def read(self):
"""Reads the cache file as pickle file."""
def warn(msg, elapsed_time, current_time):
desc = self._cache_id_desc()
self._warnings(
"{0} {1}: {2}s < {3}s", msg, desc, elapsed_time, current_time)
file_time = get_time()
out = self._o... | Reads the cache file as pickle file. |
def discard_observer(self, observer):
"""Un-register an observer.
Args:
observer: The observer to un-register.
Returns true if an observer was removed, otherwise False.
"""
discarded = False
key = self.make_key(observer)
if key in self.observers:
... | Un-register an observer.
Args:
observer: The observer to un-register.
Returns true if an observer was removed, otherwise False. |
def visit_Call(self, nodeCall):
"""
Be invoked when visiting a node of function call.
@param node: currently visiting node
"""
super(PatternFinder, self).generic_visit(nodeCall)
# Capture assignment like 'f = getattr(...)'.
if hasattr(nodeCall.func, "func"):
... | Be invoked when visiting a node of function call.
@param node: currently visiting node |
def clear(self):
''' Remove all content from the document but do not reset title.
Returns:
None
'''
self._push_all_models_freeze()
try:
while len(self._roots) > 0:
r = next(iter(self._roots))
self.remove_root(r)
fi... | Remove all content from the document but do not reset title.
Returns:
None |
def get_creators(self, *args, **kwargs):
"""
Returns a full CreatorDataWrapper object for this story.
/stories/{storyId}/creators
:returns: CreatorDataWrapper -- A new request to API. Contains full results set.
"""
from .creator import Creator, CreatorDataWrapper
... | Returns a full CreatorDataWrapper object for this story.
/stories/{storyId}/creators
:returns: CreatorDataWrapper -- A new request to API. Contains full results set. |
def get_matlab_value(val):
"""
Extract a value from a Matlab file
From the oct2py project, see
https://pythonhosted.org/oct2py/conversions.html
"""
import numpy as np
# Extract each item of a list.
if isinstance(val, list):
return [get_matlab_value(v) for v in val]
# Ignor... | Extract a value from a Matlab file
From the oct2py project, see
https://pythonhosted.org/oct2py/conversions.html |
def weld_variance(array, weld_type):
"""Returns the variance of the array.
Parameters
----------
array : numpy.ndarray or WeldObject
Input array.
weld_type : WeldType
Type of each element in the input array.
Returns
-------
WeldObject
Representation of this comp... | Returns the variance of the array.
Parameters
----------
array : numpy.ndarray or WeldObject
Input array.
weld_type : WeldType
Type of each element in the input array.
Returns
-------
WeldObject
Representation of this computation. |
def new_output_file_opt(self, opt, name):
""" Add an option and return a new file handle
"""
fil = File(name)
self.add_output_opt(opt, fil)
return fil | Add an option and return a new file handle |
def walk_directory_directories_relative_path(self, relativePath=""):
"""
Walk a certain directory in repository and yield all found directories relative path.
:parameters:
#. relativePath (str): The relative path of the directory.
"""
# get directory info dict
... | Walk a certain directory in repository and yield all found directories relative path.
:parameters:
#. relativePath (str): The relative path of the directory. |
def bow(self, tokens, remove_oov=False):
"""
Create a bow representation of a list of tokens.
Parameters
----------
tokens : list.
The list of items to change into a bag of words representation.
remove_oov : bool.
Whether to remove OOV items from ... | Create a bow representation of a list of tokens.
Parameters
----------
tokens : list.
The list of items to change into a bag of words representation.
remove_oov : bool.
Whether to remove OOV items from the input.
If this is True, the length of the ret... |
def _set_properties(self):
"""Setup title and label"""
self.SetTitle(_("About pyspread"))
label = _("pyspread {version}\nCopyright Martin Manns")
label = label.format(version=VERSION)
self.about_label.SetLabel(label) | Setup title and label |
def draw_no_data(self):
"""Write the no data text to the svg"""
no_data = self.node(
self.graph.nodes['text_overlay'],
'text',
x=self.graph.view.width / 2,
y=self.graph.view.height / 2,
class_='no_data'
)
no_data.text = self.gra... | Write the no data text to the svg |
def Validate(self, problems=default_problem_reporter):
"""Validate attribute values and this object's internal consistency.
Returns:
True iff all validation checks passed.
"""
found_problem = False
found_problem = ((not util.ValidateRequiredFieldsAreNotEmpty(
self, s... | Validate attribute values and this object's internal consistency.
Returns:
True iff all validation checks passed. |
def get_child_by_name(self, childname):
"""Get a child node of the current instance by its name.
:param childname: the name of the required child node.
:type childname: str
:returns: the first child node found with name `childname`.
:rtype: Node or None
"""
_chil... | Get a child node of the current instance by its name.
:param childname: the name of the required child node.
:type childname: str
:returns: the first child node found with name `childname`.
:rtype: Node or None |
def get_output_margin(self, status=None):
"""Get the output margin (number of rows for the prompt, footer and
timing message."""
margin = self.get_reserved_space() + self.get_prompt(self.prompt).count('\n') + 1
if special.is_timing_enabled():
margin += 1
if status:
... | Get the output margin (number of rows for the prompt, footer and
timing message. |
def _growth_curve_pooling_group(self, distr='glo', as_rural=False):
"""
Return flood growth curve function based on `amax_records` from a pooling group.
:return: Inverse cumulative distribution function with one parameter `aep` (annual exceedance probability)
:type: :class:`.GrowthCurve... | Return flood growth curve function based on `amax_records` from a pooling group.
:return: Inverse cumulative distribution function with one parameter `aep` (annual exceedance probability)
:type: :class:`.GrowthCurve`
:param as_rural: assume catchment is fully rural. Default: false.
:typ... |
def _get_connection(self, handle, expect_state=None):
"""Get a connection object, logging an error if its in an unexpected state
"""
conndata = self._connections.get(handle)
if conndata and expect_state is not None and conndata['state'] != expect_state:
self._logger.error("... | Get a connection object, logging an error if its in an unexpected state |
def _get_rescale_factors(self, reference_shape, meta_info):
""" Compute the resampling factor for height and width of the input array
:param reference_shape: Tuple specifying height and width in pixels of high-resolution array
:type reference_shape: tuple of ints
:param meta_info: Meta-... | Compute the resampling factor for height and width of the input array
:param reference_shape: Tuple specifying height and width in pixels of high-resolution array
:type reference_shape: tuple of ints
:param meta_info: Meta-info dictionary of input eopatch. Defines OGC request and parameters use... |
def logprob(self, actions, action_logits):
""" Logarithm of probability of given sample """
neg_log_prob = F.nll_loss(action_logits, actions, reduction='none')
return -neg_log_prob | Logarithm of probability of given sample |
def create_token(key, payload):
"""Auth token generator
payload should be a json encodable data structure
"""
token = hmac.new(key)
token.update(json.dumps(payload))
return token.hexdigest() | Auth token generator
payload should be a json encodable data structure |
def setting(key, default=None, expected_type=None, qsettings=None):
"""Helper function to get a value from settings under InaSAFE scope.
:param key: Unique key for setting.
:type key: basestring
:param default: The default value in case of the key is not found or there
is an error.
:type d... | Helper function to get a value from settings under InaSAFE scope.
:param key: Unique key for setting.
:type key: basestring
:param default: The default value in case of the key is not found or there
is an error.
:type default: basestring, None, boolean, int, float
:param expected_type: Th... |
def complete(self):
"""Task is complete if completion marker is set and all requirements are complete
"""
is_complete = super(ORMWrapperTask, self).complete()
for req in self.requires():
is_complete &= req.complete()
return is_complete | Task is complete if completion marker is set and all requirements are complete |
def read_pid_constants(self):
"""Reads back the PID constants stored on the Grizzly."""
p = self._read_as_int(Addr.PConstant, 4)
i = self._read_as_int(Addr.IConstant, 4)
d = self._read_as_int(Addr.DConstant, 4)
return map(lambda x: x / (2 ** 16), (p, i, d)) | Reads back the PID constants stored on the Grizzly. |
def get_game_logs(self):
"""Returns team game logs as a pandas DataFrame"""
logs = self.response.json()['resultSets'][0]['rowSet']
headers = self.response.json()['resultSets'][0]['headers']
df = pd.DataFrame(logs, columns=headers)
df.GAME_DATE = pd.to_datetime(df.GAME_DATE)
... | Returns team game logs as a pandas DataFrame |
def read_azimuth_noise_array(elts):
"""Read the azimuth noise vectors.
The azimuth noise is normalized per swath to account for gain
differences between the swaths in EW mode.
This is based on the this reference:
J. Park, A. A. Korosov, M. Babiker, S. Sandven and J. Won,
... | Read the azimuth noise vectors.
The azimuth noise is normalized per swath to account for gain
differences between the swaths in EW mode.
This is based on the this reference:
J. Park, A. A. Korosov, M. Babiker, S. Sandven and J. Won,
"Efficient Thermal Noise Removal for Sentinel... |
def cookie_dump(key, value='', max_age=None, expires=None, path='/',
domain=None, secure=False, httponly=False):
"""
:rtype: ``Cookie.SimpleCookie``
"""
cookie = SimpleCookie()
cookie[key] = value
for attr in ('max_age', 'expires', 'path', 'domain',
'secure', 'ht... | :rtype: ``Cookie.SimpleCookie`` |
def tas2eas(Vtas, H):
"""True Airspeed to Equivalent Airspeed"""
rho = density(H)
Veas = Vtas * np.sqrt(rho/rho0)
return Veas | True Airspeed to Equivalent Airspeed |
def lstm_seq2seq_internal_bid_encoder(inputs, targets, hparams, train):
"""The basic LSTM seq2seq model with bidirectional encoder."""
with tf.variable_scope("lstm_seq2seq_bid_encoder"):
if inputs is not None:
inputs_length = common_layers.length_from_embedding(inputs)
# Flatten inputs.
inputs... | The basic LSTM seq2seq model with bidirectional encoder. |
def fragment6(pkt, fragSize):
"""
Performs fragmentation of an IPv6 packet. Provided packet ('pkt') must
already contain an IPv6ExtHdrFragment() class. 'fragSize' argument is the
expected maximum size of fragments (MTU). The list of packets is returned.
If packet does not contain an IPv6ExtHdrFragm... | Performs fragmentation of an IPv6 packet. Provided packet ('pkt') must
already contain an IPv6ExtHdrFragment() class. 'fragSize' argument is the
expected maximum size of fragments (MTU). The list of packets is returned.
If packet does not contain an IPv6ExtHdrFragment class, it is returned in
result li... |
def prepare_files(self):
"""Get files from data dump."""
# Prepare files
files = {}
for f in self.data['files']:
k = f['full_name']
if k not in files:
files[k] = []
files[k].append(f)
# Sort versions
for k in files.keys... | Get files from data dump. |
def get_task_param_string(task):
"""Get all parameters of a task as one string
Returns:
str: task parameter string
"""
# get dict str -> str from luigi
param_dict = task.to_str_params()
# sort keys, serialize
items = []
for key in sorted(param_dict.keys()):
items.append... | Get all parameters of a task as one string
Returns:
str: task parameter string |
def get_all_invoice_payments(self, params=None):
"""
Get all invoice payments
This will iterate over all pages until it gets all elements.
So if the rate limit exceeded it will throw an Exception and you will get nothing
:param params: search params
:return: list
... | Get all invoice payments
This will iterate over all pages until it gets all elements.
So if the rate limit exceeded it will throw an Exception and you will get nothing
:param params: search params
:return: list |
def xlsx_to_csv(self, infile, worksheet=0, delimiter=","):
""" Convert xlsx to easier format first, since we want to use the
convenience of the CSV library
"""
wb = load_workbook(self.getInputFile())
sheet = wb.worksheets[worksheet]
buffer = StringIO()
# extract ... | Convert xlsx to easier format first, since we want to use the
convenience of the CSV library |
def _set_callables(modules):
'''
Set all Ansible modules callables
:return:
'''
def _set_function(cmd_name, doc):
'''
Create a Salt function for the Ansible module.
'''
def _cmd(*args, **kw):
'''
Call an Ansible module as a function from the Sa... | Set all Ansible modules callables
:return: |
def split_obj (obj, prefix = None):
'''
Split the object, returning a 3-tuple with the flat object, optionally
followed by the key for the subobjects and a list of those subobjects.
'''
# copy the object, optionally add the prefix before each key
new = obj.copy() if prefix is None else { '{}_{}... | Split the object, returning a 3-tuple with the flat object, optionally
followed by the key for the subobjects and a list of those subobjects. |
def _sum_wrapper(fn):
"""
Wrapper to perform row-wise aggregation of list arguments and pass
them to a function. The return value of the function is summed
over the argument groups. Non-list arguments will be
automatically cast to a list.
"""
def wrapper(*args, **kwargs):
v = 0
... | Wrapper to perform row-wise aggregation of list arguments and pass
them to a function. The return value of the function is summed
over the argument groups. Non-list arguments will be
automatically cast to a list. |
def rank(self,
method='ordinal',
ascending=True,
mask=NotSpecified,
groupby=NotSpecified):
"""
Construct a new Factor representing the sorted rank of each column
within each row.
Parameters
----------
method : str, {'or... | Construct a new Factor representing the sorted rank of each column
within each row.
Parameters
----------
method : str, {'ordinal', 'min', 'max', 'dense', 'average'}
The method used to assign ranks to tied elements. See
`scipy.stats.rankdata` for a full descripti... |
def get_defining_component(pe_pe):
'''
Get the BridgePoint component (C_C) that defines the packeable element
*pe_pe*.
'''
if pe_pe is None:
return None
if type(pe_pe).__name__ != 'PE_PE':
pe_pe = one(pe_pe).PE_PE[8001]()
ep_pkg = one(pe_pe).EP_PKG[8000]()
if ep... | Get the BridgePoint component (C_C) that defines the packeable element
*pe_pe*. |
def translate_config(self, profile, merge=None, replace=None):
"""
Translate the object to native configuration.
In this context, merge and replace means the following:
* **Merge** - Elements that exist in both ``self`` and ``merge`` will use by default the
values in ``merge`... | Translate the object to native configuration.
In this context, merge and replace means the following:
* **Merge** - Elements that exist in both ``self`` and ``merge`` will use by default the
values in ``merge`` unless ``self`` specifies a new one. Elements that exist only
in ``self... |
def Logger(name, **kargs):
""" Create and return logger """
path_dirs = PathDirs(**kargs)
logging.captureWarnings(True)
logger = logging.getLogger(name)
logger.setLevel(logging.INFO)
handler = logging.handlers.WatchedFileHandler(os.path.join(
path_dirs.meta_dir, 'vent.log'))
handler.... | Create and return logger |
def avg(self):
"""return the mean value"""
# XXX rename this method
if len(self.values) > 0:
return sum(self.values) / float(len(self.values))
else:
return None | return the mean value |
def is_translocated(graph: BELGraph, node: BaseEntity) -> bool:
"""Return true if over any of the node's edges, it is translocated."""
return _node_has_modifier(graph, node, TRANSLOCATION) | Return true if over any of the node's edges, it is translocated. |
def annual_reading_counts(kind='all'):
"""
Returns a list of dicts, one per year of reading. In year order.
Each dict is like this (if kind is 'all'):
{'year': datetime.date(2003, 1, 1),
'book': 12, # only included if kind is 'all' or 'book'
'periodical': 18, ... | Returns a list of dicts, one per year of reading. In year order.
Each dict is like this (if kind is 'all'):
{'year': datetime.date(2003, 1, 1),
'book': 12, # only included if kind is 'all' or 'book'
'periodical': 18, # only included if kind is 'all' or 'periodical'
... |
def get_embedded_tweet(tweet):
"""
Get the retweeted Tweet OR the quoted Tweet and return it as a dictionary
Args:
tweet (Tweet): A Tweet object (not simply a dict)
Returns:
dict (or None, if the Tweet is neither a quote tweet or a Retweet):
a dictionary representing the quote ... | Get the retweeted Tweet OR the quoted Tweet and return it as a dictionary
Args:
tweet (Tweet): A Tweet object (not simply a dict)
Returns:
dict (or None, if the Tweet is neither a quote tweet or a Retweet):
a dictionary representing the quote Tweet or the Retweet |
def get_initial_states(self, input_var, init_state=None):
"""
:type input_var: T.var
:rtype: dict
"""
initial_states = {}
for state in self.state_names:
if state != "state" or not init_state:
if self._input_type == 'sequence' and input_var.ndim... | :type input_var: T.var
:rtype: dict |
def serialize_array(array, domain=(0, 1), fmt='png', quality=70):
"""Given an arbitrary rank-3 NumPy array,
returns the byte representation of the encoded image.
Args:
array: NumPy array of dtype uint8 and range 0 to 255
domain: expected range of values in array, see `_normalize_array()`
fmt: string ... | Given an arbitrary rank-3 NumPy array,
returns the byte representation of the encoded image.
Args:
array: NumPy array of dtype uint8 and range 0 to 255
domain: expected range of values in array, see `_normalize_array()`
fmt: string describing desired file format, defaults to 'png'
quality: specifie... |
def generate_strings(project_base_dir, localization_bundle_path, tmp_directory, exclude_dirs, include_strings_file,
special_ui_components_prefix):
"""
Calls the builtin 'genstrings' command with JTLocalizedString as the string to search for,
and adds strings extracted from UI elements i... | Calls the builtin 'genstrings' command with JTLocalizedString as the string to search for,
and adds strings extracted from UI elements internationalized with 'JTL' + removes duplications. |
def get_satellites_list(self, sat_type):
"""Get a sorted satellite list: master then spare
:param sat_type: type of the required satellites (arbiters, schedulers, ...)
:type sat_type: str
:return: sorted satellites list
:rtype: list[alignak.objects.satellitelink.SatelliteLink]
... | Get a sorted satellite list: master then spare
:param sat_type: type of the required satellites (arbiters, schedulers, ...)
:type sat_type: str
:return: sorted satellites list
:rtype: list[alignak.objects.satellitelink.SatelliteLink] |
def field2parameter(self, field, name="body", default_in="body"):
"""Return an OpenAPI parameter as a `dict`, given a marshmallow
:class:`Field <marshmallow.Field>`.
https://github.com/OAI/OpenAPI-Specification/blob/master/versions/3.0.2.md#parameterObject
"""
location = field.m... | Return an OpenAPI parameter as a `dict`, given a marshmallow
:class:`Field <marshmallow.Field>`.
https://github.com/OAI/OpenAPI-Specification/blob/master/versions/3.0.2.md#parameterObject |
def _evaluate(self, indices, norm_distances, out=None):
"""Evaluate nearest interpolation."""
idx_res = []
for i, yi in zip(indices, norm_distances):
if self.variant == 'left':
idx_res.append(np.where(yi <= .5, i, i + 1))
else:
idx_res.appe... | Evaluate nearest interpolation. |
def get_argflag(argstr_, default=False, help_='', return_specified=None,
need_prefix=True, return_was_specified=False, argv=None,
debug=None,
**kwargs):
"""
Checks if the commandline has a flag or a corresponding noflag
Args:
argstr_ (str, list, or tu... | Checks if the commandline has a flag or a corresponding noflag
Args:
argstr_ (str, list, or tuple): the flag to look for
default (bool): dont use this (default = False)
help_ (str): a help string (default = '')
return_specified (bool): returns if flag was specified or not (default =... |
def get_col_width(self, col, tab):
"""Returns column width"""
try:
return self.col_widths[(col, tab)]
except KeyError:
return config["default_col_width"] | Returns column width |
def callRemote(self, objectPath, methodName,
interface=None,
destination=None,
signature=None,
body=None,
expectReply=True,
autoStart=True,
timeout=None,
returnSignatur... | Calls a method on a remote DBus object and returns a deferred to the
result.
@type objectPath: C{string}
@param objectPath: Path of the remote object
@type methodName: C{string}
@param methodName: Name of the method to call
@type interface: None or C{string}
@p... |
def load_delimited(filename, converters, delimiter=r'\s+'):
r"""Utility function for loading in data from an annotation file where columns
are delimited. The number of columns is inferred from the length of
the provided converters list.
Examples
--------
>>> # Load in a one-column list of even... | r"""Utility function for loading in data from an annotation file where columns
are delimited. The number of columns is inferred from the length of
the provided converters list.
Examples
--------
>>> # Load in a one-column list of event times (floats)
>>> load_delimited('events.txt', [float])
... |
def install_documentation(path="./Litho1pt0-Notebooks"):
"""Install the example notebooks for litho1pt0 in the given location
WARNING: If the path exists, the Notebook files will be written into the path
and will overwrite any existing files with which they collide. The default
path ("./Litho1pt0-Noteb... | Install the example notebooks for litho1pt0 in the given location
WARNING: If the path exists, the Notebook files will be written into the path
and will overwrite any existing files with which they collide. The default
path ("./Litho1pt0-Notebooks") is chosen to make collision less likely / problematic
... |
def InsertFloatArg(self, string="", **_):
"""Inserts a Float argument."""
try:
float_value = float(string)
return self.InsertArg(float_value)
except (TypeError, ValueError):
raise ParseError("%s is not a valid float." % string) | Inserts a Float argument. |
def _delete_json(self, instance, space=None, rel_path=None, extra_params=None, id_field=None, append_to_path=None):
"""
Base level method for removing data from the API
"""
model = type(instance)
# Only API.spaces and API.event should not provide
# the `space argument
... | Base level method for removing data from the API |
def emit_reset(self):
"""Resets the device to a blank state."""
for name in self.layout.axes:
params = self.layout.axes_options.get(name, DEFAULT_AXIS_OPTIONS)
self.write_event(ecodes.EV_ABS, name, int(sum(params[1:3]) / 2))
for name in self.layout.buttons:
s... | Resets the device to a blank state. |
def setup(app) -> Dict[str, Any]:
"""
Sets up Sphinx extension.
"""
app.connect("doctree-read", on_doctree_read)
app.connect("builder-inited", on_builder_inited)
app.add_css_file("uqbar.css")
app.add_node(
nodes.classifier, override=True, html=(visit_classifier, depart_classifier)
... | Sets up Sphinx extension. |
def payments_for_address(self, address):
"return an array of (TX ids, net_payment)"
URL = self.api_domain + ("/address/%s?format=json" % address)
d = urlopen(URL).read()
json_response = json.loads(d.decode("utf8"))
response = []
for tx in json_response.get("txs", []):
... | return an array of (TX ids, net_payment) |
def quadvgk(feval, fmin, fmax, tol1=1e-5, tol2=1e-5):
"""
numpy implementation makes use of the code here: http://se.mathworks.com/matlabcentral/fileexchange/18801-quadvgk
We here use gaussian kronrod integration already used in gpstuff for evaluating one dimensional integrals.
This is vectorised quadra... | numpy implementation makes use of the code here: http://se.mathworks.com/matlabcentral/fileexchange/18801-quadvgk
We here use gaussian kronrod integration already used in gpstuff for evaluating one dimensional integrals.
This is vectorised quadrature which means that several functions can be evaluated at the sa... |
def get_source_url(obj):
"""Get the source url for a Trust object.
Args:
obj (ChainOfTrust or LinkOfTrust): the trust object to inspect
Raises:
CoTError: if repo and source are defined and don't match
Returns:
str: the source url.
"""
source_env_prefix = obj.context.c... | Get the source url for a Trust object.
Args:
obj (ChainOfTrust or LinkOfTrust): the trust object to inspect
Raises:
CoTError: if repo and source are defined and don't match
Returns:
str: the source url. |
def build(self, region=None, profile=None):
"""Get or create the provider for the given region and profile."""
with self.lock:
# memoization lookup key derived from region + profile.
key = "{}-{}".format(profile, region)
try:
# assume provider is in p... | Get or create the provider for the given region and profile. |
def get_provider_name(driver):
"""
Return the provider name from the driver class
:param driver: obj
:return: str
"""
kls = driver.__class__.__name__
for d, prop in DRIVERS.items():
if prop[1] == kls:
return d
return None | Return the provider name from the driver class
:param driver: obj
:return: str |
def arange_col(n, dtype=int):
"""
Returns ``np.arange`` in a column form.
:param n: Length of the array.
:type n: int
:param dtype: Type of the array.
:type dtype: type
:returns: ``np.arange`` in a column form.
:rtype: ndarray
"""
return np.reshape(np.arange(n, dt... | Returns ``np.arange`` in a column form.
:param n: Length of the array.
:type n: int
:param dtype: Type of the array.
:type dtype: type
:returns: ``np.arange`` in a column form.
:rtype: ndarray |
def delete_priority_class(self, name, **kwargs):
"""
delete a PriorityClass
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.delete_priority_class(name, async_req=True)
>>> result = ... | delete a PriorityClass
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.delete_priority_class(name, async_req=True)
>>> result = thread.get()
:param async_req bool
:param str name: ... |
def shade_jar(self, shading_rules, jar_path):
"""Shades a jar using the shading rules from the given jvm_binary.
This *overwrites* the existing jar file at ``jar_path``.
:param shading_rules: predefined rules for shading
:param jar_path: The filepath to the jar that should be shaded.
"""
self.... | Shades a jar using the shading rules from the given jvm_binary.
This *overwrites* the existing jar file at ``jar_path``.
:param shading_rules: predefined rules for shading
:param jar_path: The filepath to the jar that should be shaded. |
def get_outputs(sym, params, in_shape, in_label):
""" Infer output shapes and return dictionary of output name to shape
:param :class:`~mxnet.symbol.Symbol` sym: symbol to perform infer shape on
:param dic of (str, nd.NDArray) params:
:param list of tuple(int, ...) in_shape: list of all... | Infer output shapes and return dictionary of output name to shape
:param :class:`~mxnet.symbol.Symbol` sym: symbol to perform infer shape on
:param dic of (str, nd.NDArray) params:
:param list of tuple(int, ...) in_shape: list of all input shapes
:param in_label: name of label typicall... |
def transfer(self, data):
"""Transfers data over SPI.
Arguments:
data: The data to transfer.
Returns:
The data returned by the SPI device.
"""
settings = self.transfer_settings
settings.spi_tx_size = len(data)
self.transfer_settings = set... | Transfers data over SPI.
Arguments:
data: The data to transfer.
Returns:
The data returned by the SPI device. |
def _detectEncoding(self, xml_data, isHTML=False):
"""Given a document, tries to detect its XML encoding."""
xml_encoding = sniffed_xml_encoding = None
try:
if xml_data[:4] == '\x4c\x6f\xa7\x94':
# EBCDIC
xml_data = self._ebcdic_to_ascii(xml_data)
... | Given a document, tries to detect its XML encoding. |
def check_publication_state(publication_id):
"""Check the publication's current state."""
with db_connect() as db_conn:
with db_conn.cursor() as cursor:
cursor.execute("""\
SELECT "state", "state_messages"
FROM publications
WHERE id = %s""", (publication_id,))
publication_state, ... | Check the publication's current state. |
def by_period(self, field=None, period=None, timezone=None, start=None, end=None):
"""
Create a date histogram aggregation using the last added aggregation for the
current object. Add this date_histogram aggregation into self.aggregations
:param field: the index field to create the hist... | Create a date histogram aggregation using the last added aggregation for the
current object. Add this date_histogram aggregation into self.aggregations
:param field: the index field to create the histogram from
:param period: the interval which elasticsearch supports, ex: "month", "week" and su... |
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