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mobinrg/rpi_spark_drives | JMRPiSpark/Drives/Display/RPiDisplay.py | RPiDiaplay.clear | def clear(self, fill = 0x00):
"""!
Clear buffer data and other data
RPiDiaplay object just implemented clear buffer data
"""
self._buffer = [ fill ] * ( self.width * self.height ) | python | def clear(self, fill = 0x00):
"""!
Clear buffer data and other data
RPiDiaplay object just implemented clear buffer data
"""
self._buffer = [ fill ] * ( self.width * self.height ) | [
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ONSdigital/sdc-rabbit | sdc/rabbit/consumers.py | AsyncConsumer.connect | def connect(self):
"""This method connects to RabbitMQ using a SelectConnection object,
returning the connection handle.
When the connection is established, the on_connection_open method
will be invoked by pika.
:rtype: pika.SelectConnection
"""
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"""This method connects to RabbitMQ using a SelectConnection object,
returning the connection handle.
When the connection is established, the on_connection_open method
will be invoked by pika.
:rtype: pika.SelectConnection
"""
count = 1
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ONSdigital/sdc-rabbit | sdc/rabbit/consumers.py | AsyncConsumer.nack_message | def nack_message(self, delivery_tag, **kwargs):
"""Negative acknowledge a message
:param int delivery_tag: The deliver tag from the Basic.Deliver frame
"""
logger.info('Nacking message', delivery_tag=delivery_tag, **kwargs)
self._channel.basic_nack(delivery_tag) | python | def nack_message(self, delivery_tag, **kwargs):
"""Negative acknowledge a message
:param int delivery_tag: The deliver tag from the Basic.Deliver frame
"""
logger.info('Nacking message', delivery_tag=delivery_tag, **kwargs)
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ONSdigital/sdc-rabbit | sdc/rabbit/consumers.py | MessageConsumer.tx_id | def tx_id(properties):
"""
Gets the tx_id for a message from a rabbit queue, using the
message properties. Will raise KeyError if tx_id is missing from message
headers.
: param properties: Message properties
: returns: tx_id of survey response
: rtype: str
... | python | def tx_id(properties):
"""
Gets the tx_id for a message from a rabbit queue, using the
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headers.
: param properties: Message properties
: returns: tx_id of survey response
: rtype: str
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ONSdigital/sdc-rabbit | sdc/rabbit/consumers.py | MessageConsumer.on_message | def on_message(self, unused_channel, basic_deliver, properties, body):
"""Called on receipt of a message from a queue.
Processes the message using the self._process method or function and positively
acknowledges the queue if successful. If processing is not succesful,
the message can ei... | python | def on_message(self, unused_channel, basic_deliver, properties, body):
"""Called on receipt of a message from a queue.
Processes the message using the self._process method or function and positively
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objectrocket/python-client | objectrocket/auth.py | Auth.authenticate | def authenticate(self, username, password):
"""Authenticate against the ObjectRocket API.
:param str username: The username to perform basic authentication against the API with.
:param str password: The password to perform basic authentication against the API with.
:returns: A token use... | python | def authenticate(self, username, password):
"""Authenticate against the ObjectRocket API.
:param str username: The username to perform basic authentication against the API with.
:param str password: The password to perform basic authentication against the API with.
:returns: A token use... | [
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objectrocket/python-client | objectrocket/auth.py | Auth._refresh | def _refresh(self):
"""Refresh the API token using the currently bound credentials.
This is simply a convenience method to be invoked automatically if authentication fails
during normal client use.
"""
# Request and set a new API token.
new_token = self.authenticate(self... | python | def _refresh(self):
"""Refresh the API token using the currently bound credentials.
This is simply a convenience method to be invoked automatically if authentication fails
during normal client use.
"""
# Request and set a new API token.
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objectrocket/python-client | objectrocket/auth.py | Auth._verify | def _verify(self, token):
"""Verify that the given token is valid.
:param str token: The API token to verify.
:returns: The token's corresponding user model as a dict, or None if invalid.
:rtype: dict
"""
# Attempt to authenticate.
url = '{}{}/'.format(self._url,... | python | def _verify(self, token):
"""Verify that the given token is valid.
:param str token: The API token to verify.
:returns: The token's corresponding user model as a dict, or None if invalid.
:rtype: dict
"""
# Attempt to authenticate.
url = '{}{}/'.format(self._url,... | [
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wdbm/abstraction | es-1.py | preprocess | def preprocess(net, image):
'''
convert to Caffe input image layout
'''
return np.float32(np.rollaxis(image, 2)[::-1]) - net.transformer.mean["data"] | python | def preprocess(net, image):
'''
convert to Caffe input image layout
'''
return np.float32(np.rollaxis(image, 2)[::-1]) - net.transformer.mean["data"] | [
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wdbm/abstraction | es-1.py | make_step | def make_step(
net,
step_size = 1.5,
end = "inception_4c/output",
jitter = 32,
clip = True,
objective = objective_L2
):
'''
basic gradient ascent step
'''
src = net.blobs["data"]
dst = net.blobs[end]
ox, oy = np.random.randint(- jitter, jitter + 1, 2)... | python | def make_step(
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clip = True,
objective = objective_L2
):
'''
basic gradient ascent step
'''
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dst = net.blobs[end]
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wdbm/abstraction | es-1.py | deepdream | def deepdream(
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iter_n = 10,
octave_n = 4,
octave_scale = 1.4,
end = "inception_4c/output",
clip = True,
**step_params
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'''
an ascent through different scales called "octaves"
'''
# Prepare base images for all octaves.... | python | def deepdream(
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octave_n = 4,
octave_scale = 1.4,
end = "inception_4c/output",
clip = True,
**step_params
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'''
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jkitzes/macroeco | macroeco/main/_main.py | main | def main(param_path='parameters.txt'):
"""
Entry point function for analysis based on parameter files.
Parameters
----------
param_path : str
Path to user-generated parameter file
"""
# Confirm parameters file is present
if not os.path.isfile(param_path):
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"""
Entry point function for analysis based on parameter files.
Parameters
----------
param_path : str
Path to user-generated parameter file
"""
# Confirm parameters file is present
if not os.path.isfile(param_path):
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jkitzes/macroeco | macroeco/main/_main.py | _do_analysis | def _do_analysis(options):
"""
Do analysis for a single run, as specified by options.
Parameters
----------
options : dict
Option names and values for analysis
"""
module = _function_location(options)
core_results = _call_analysis_function(options, module)
if module == 'e... | python | def _do_analysis(options):
"""
Do analysis for a single run, as specified by options.
Parameters
----------
options : dict
Option names and values for analysis
"""
module = _function_location(options)
core_results = _call_analysis_function(options, module)
if module == 'e... | [
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jkitzes/macroeco | macroeco/main/_main.py | _call_analysis_function | def _call_analysis_function(options, module):
"""
Call function from module and get result, using inputs from options
Parameters
----------
options : dict
Option names and values for analysis
module : str
Short name of module within macroeco containing analysis function
Ret... | python | def _call_analysis_function(options, module):
"""
Call function from module and get result, using inputs from options
Parameters
----------
options : dict
Option names and values for analysis
module : str
Short name of module within macroeco containing analysis function
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jkitzes/macroeco | macroeco/main/_main.py | _emp_extra_options | def _emp_extra_options(options):
"""
Get special options patch, cols, and splits if analysis in emp module
"""
# Check that metadata is valid
metadata_path = os.path.normpath(os.path.join(options['param_dir'],
options['metadata']))
if not os.pat... | python | def _emp_extra_options(options):
"""
Get special options patch, cols, and splits if analysis in emp module
"""
# Check that metadata is valid
metadata_path = os.path.normpath(os.path.join(options['param_dir'],
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jkitzes/macroeco | macroeco/main/_main.py | _fit_models | def _fit_models(options, core_results):
"""
Fit models to empirical result from a function in emp module
Parameters
----------
options : dict
Option names and values for analysis
core_results : list of tuples
Output of function in emp
Returns
-------
list of dicts
... | python | def _fit_models(options, core_results):
"""
Fit models to empirical result from a function in emp module
Parameters
----------
options : dict
Option names and values for analysis
core_results : list of tuples
Output of function in emp
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jkitzes/macroeco | macroeco/main/_main.py | _save_results | def _save_results(options, module, core_results, fit_results):
"""
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Parameters
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options : dict
Option names and values for analysis
module : str
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jkitzes/macroeco | macroeco/main/_main.py | _write_subset_index_file | def _write_subset_index_file(options, core_results):
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"""
f_path = os.path.join(options['run_dir'], '_subset_index.csv')
subset_strs = zip(*core_results)[0]
index = np.arange(len(subset_strs)) + 1
df = pd.DataFrame({'su... | python | def _write_subset_index_file(options, core_results):
"""
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"""
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jkitzes/macroeco | macroeco/main/_main.py | _pad_plot_frame | def _pad_plot_frame(ax, pad=0.01):
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ymin, ymax = ax.get_ylim()
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ax.set_xlim(xmin - xr*pad, xmax + xr*pad)
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"""
Provides padding on sides of frame equal to pad fraction of plot
"""
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jkitzes/macroeco | macroeco/main/_main.py | _output_cdf_plot | def _output_cdf_plot(core_result, spid, models, options, fit_results):
"""Function for plotting cdf"""
# CDF
x = core_result['y'].values
df = emp.empirical_cdf(x)
df.columns = ['x', 'empirical']
def calc_func(model, df, shapes):
return eval("mod.%s.cdf(df['x'], *shapes)" % model)
... | python | def _output_cdf_plot(core_result, spid, models, options, fit_results):
"""Function for plotting cdf"""
# CDF
x = core_result['y'].values
df = emp.empirical_cdf(x)
df.columns = ['x', 'empirical']
def calc_func(model, df, shapes):
return eval("mod.%s.cdf(df['x'], *shapes)" % model)
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mobinrg/rpi_spark_drives | JMRPiSpark/Drives/Attitude/MPU6050.py | MPU6050.openOnlyAccel | def openOnlyAccel(self, cycleFreq = 0x00 ):
"""!
Trun on device into Accelerometer Only Low Power Mode
@param cycleFreq can be choise:
@see VAL_PWR_MGMT_2_LP_WAKE_CTRL_1_25HZ is default
@see VAL_PWR_MGMT_2_LP_WAKE_CTRL_5HZ
@see VAL_PWR_MGMT_2_LP_WAKE_CTRL_20H... | python | def openOnlyAccel(self, cycleFreq = 0x00 ):
"""!
Trun on device into Accelerometer Only Low Power Mode
@param cycleFreq can be choise:
@see VAL_PWR_MGMT_2_LP_WAKE_CTRL_1_25HZ is default
@see VAL_PWR_MGMT_2_LP_WAKE_CTRL_5HZ
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mobinrg/rpi_spark_drives | JMRPiSpark/Drives/Attitude/MPU6050.py | MPU6050.setMotionInt | def setMotionInt(self, motDHPF = 0x01, motTHR = 0x14, motDUR = 0x30, motDeteDec = 0x15 ):
"""!
Set to enable Motion Detection Interrupt
@param motDHPF Set the Digital High Pass Filter. Default is 0x01 (5Hz)
@param motTHR Desired motion threshold. Default is 20 (0x14)
@param mot... | python | def setMotionInt(self, motDHPF = 0x01, motTHR = 0x14, motDUR = 0x30, motDeteDec = 0x15 ):
"""!
Set to enable Motion Detection Interrupt
@param motDHPF Set the Digital High Pass Filter. Default is 0x01 (5Hz)
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mobinrg/rpi_spark_drives | JMRPiSpark/Drives/Attitude/MPU6050.py | MPU6050.readAccelRange | def readAccelRange( self ):
"""!
Reads the range of accelerometer setup.
@return an int value.
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@see ACCEL_RANGE_2G
@see ACCEL_RANGE_4G
@see ACCEL_RANGE_8G
@see ACCEL_RANGE_16G
... | python | def readAccelRange( self ):
"""!
Reads the range of accelerometer setup.
@return an int value.
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@see ACCEL_RANGE_16G
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mobinrg/rpi_spark_drives | JMRPiSpark/Drives/Attitude/MPU6050.py | MPU6050.getAccelData | def getAccelData( self, raw = False ):
"""!
Gets and returns the X, Y and Z values from the accelerometer.
@param raw If raw is True, it will return the data in m/s^2,<br> If raw is False, it will return the data in g
@return a dictionary with the measurement results or Boolean.
... | python | def getAccelData( self, raw = False ):
"""!
Gets and returns the X, Y and Z values from the accelerometer.
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mobinrg/rpi_spark_drives | JMRPiSpark/Drives/Attitude/MPU6050.py | MPU6050.readGyroRange | def readGyroRange( self ):
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Read range of gyroscope.
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"""!
Read range of gyroscope.
@return an int value. It should be one of the following values (GYRO_RANGE_250DEG)
@see GYRO_RANGE_250DEG
@see GYRO_RANGE_500DEG
@see GYRO_RANGE_1KDEG
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mobinrg/rpi_spark_drives | JMRPiSpark/Drives/Attitude/MPU6050.py | MPU6050.getGyroData | def getGyroData(self):
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mobinrg/rpi_spark_drives | JMRPiSpark/Drives/Attitude/MPU6050.py | MPU6050.getAllData | def getAllData(self, temp = True, accel = True, gyro = True):
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CodyKochmann/generators | generators/repeater.py | repeater | def repeater(pipe, how_many=2):
''' this function repeats each value in the pipeline however many times you need '''
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for _ in r:
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''' this function repeats each value in the pipeline however many times you need '''
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iron-lion/nJSD | src/njsd/entropy.py | kld | def kld(p1, p2):
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iron-lion/nJSD | src/njsd/entropy.py | jsd | def jsd(p1, p2):
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iron-lion/nJSD | src/njsd/entropy.py | njsd | def njsd(network, ref_gene_expression_dict, query_gene_expression_dict, gene_set):
"""Calculate Jensen-Shannon divergence between query and reference gene expression profile.
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nuSTORM/gnomon | gnomon/processors/__init__.py | lookupProcessor | def lookupProcessor(name):
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CodyKochmann/generators | generators/side_task.py | side_task | def side_task(pipe, *side_jobs):
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TissueMAPS/TmDeploy | elasticluster/elasticluster/providers/ec2_boto.py | BotoCloudProvider._connect | def _connect(self):
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CodyKochmann/generators | generators/split.py | split | def split(pipe, splitter, skip_empty=False):
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erickgnavar/serpost | serpost/serpost.py | query_tracking_code | def query_tracking_code(tracking_code, year=None):
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inveniosoftware-attic/invenio-comments | invenio_comments/utils.py | comments_nb_counts | def comments_nb_counts():
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adamfast/faadata | faadata/airports/utils.py | decide_k | def decide_k(airport_code):
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slickqa/python-client | slickqa/micromodels/packages/PySO8601/datetimestamps.py | parse_date | def parse_date(datestring):
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thespacedoctor/fundamentals | fundamentals/mysql/database.py | database.connect | def connect(self):
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lycantropos/paradigm | paradigm/cached.py | map_ | def map_(cache: Mapping[Domain, Range]) -> Operator[Map[Domain, Range]]:
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lycantropos/paradigm | paradigm/cached.py | property_ | def property_(getter: Map[Domain, Range]) -> property:
"""
Returns property that calls given getter on the first access
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Class instances should be hashable and weak referenceable.
"""
return property(map_(WeakKeyDictionary())(getter)) | python | def property_(getter: Map[Domain, Range]) -> property:
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Returns property that calls given getter on the first access
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clinicedc/edc-auth | edc_auth/views/login_view.py | LoginView.get_context_data | def get_context_data(self, **kwargs):
"""Tests cookies.
"""
self.request.session.set_test_cookie()
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messages.add_message(
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self.request.session.dele... | python | def get_context_data(self, **kwargs):
"""Tests cookies.
"""
self.request.session.set_test_cookie()
if not self.request.session.test_cookie_worked():
messages.add_message(
self.request, messages.ERROR, "Please enable cookies.")
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PatrikValkovic/grammpy | grammpy/transforms/Traversing.py | Traversing.print | def print(root):
# type: (Union[Nonterminal,Terminal,Rule])-> str
"""
Transform the parsed tree to the string. Expects tree like structure.
You can see example output below.
(R)SplitRules26
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| `--(R)SplitRules30
| `--(N)Symb
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# type: (Union[Nonterminal,Terminal,Rule])-> str
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freevoid/django-datafilters | datafilters/views.py | FilterFormMixin.get_filter | def get_filter(self):
"""
Get FilterForm instance.
"""
return self.filter_form_cls(self.request.GET,
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use_filter_chaining=self.use_filter_chaining) | python | def get_filter(self):
"""
Get FilterForm instance.
"""
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freevoid/django-datafilters | datafilters/views.py | FilterFormMixin.get_context_data | def get_context_data(self, **kwargs):
"""
Add filter form to the context.
TODO: Currently we construct the filter form object twice - in
get_queryset and here, in get_context_data. Will need to figure out a
good way to eliminate extra initialization.
"""
context ... | python | def get_context_data(self, **kwargs):
"""
Add filter form to the context.
TODO: Currently we construct the filter form object twice - in
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chaosim/dao | dao/compile.py | compile_to_python | def compile_to_python(exp, env, done=None):
'''assemble steps from dao expression to python code'''
original_exp = exp
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if done is None:
done = il.Done(compiler.new_var(il.ConstLocalVar('v')))
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compiler.continue_block_cont_map = {}
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'''assemble steps from dao expression to python code'''
original_exp = exp
compiler = Compiler()
if done is None:
done = il.Done(compiler.new_var(il.ConstLocalVar('v')))
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CodyKochmann/generators | generators/last.py | last | def last(pipe, items=1):
''' this function simply returns the last item in an iterable '''
if items == 1:
tmp=None
for i in pipe:
tmp=i
return tmp
else:
return tuple(deque(pipe, maxlen=items)) | python | def last(pipe, items=1):
''' this function simply returns the last item in an iterable '''
if items == 1:
tmp=None
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tmp=i
return tmp
else:
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kgaughan/dbkit | examples/counters.py | print_help | def print_help(filename, table, dest=sys.stdout):
"""
Print help to the given destination file object.
"""
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print >> dest, "Syntax: %s %s [args]" % (path.basename(filename), cmds) | python | def print_help(filename, table, dest=sys.stdout):
"""
Print help to the given destination file object.
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consbio/parserutils | parserutils/strings.py | find_all | def find_all(s, sub, start=0, end=0, limit=-1, reverse=False):
"""
Find all indexes of sub in s.
:param s: the string to search
:param sub: the string to search for
:param start: the index in s at which to begin the search (same as in ''.find)
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"""
Find all indexes of sub in s.
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inveniosoftware-attic/invenio-utils | invenio_utils/container.py | get_substructure | def get_substructure(data, path):
"""
Tries to retrieve a sub-structure within some data. If the path does not
match any sub-structure, returns None.
>>> data = {'a': 5, 'b': {'c': [1, 2, [{'f': [57]}], 4], 'd': 'test'}}
>>> get_substructure(island, "bc")
[1, 2, [{'f': [57]}], 4]
>>> get_su... | python | def get_substructure(data, path):
"""
Tries to retrieve a sub-structure within some data. If the path does not
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>>> data = {'a': 5, 'b': {'c': [1, 2, [{'f': [57]}], 4], 'd': 'test'}}
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CodyKochmann/generators | generators/iterable.py | iterable | def iterable(target):
''' returns true if the given argument is iterable '''
if any(i in ('next', '__next__', '__iter__') for i in dir(target)):
return True
else:
try:
iter(target)
return True
except:
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''' returns true if the given argument is iterable '''
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iter(target)
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kellerza/pyqwikswitch | pyqwikswitch/threaded.py | QSUsb._thread_worker | def _thread_worker(self):
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# Retrieve next cmd, or block
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try:
self._ca... | python | def _thread_worker(self):
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# Retrieve next cmd, or block
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"""The main &listen loop."""
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"""The main &listen loop."""
while self._running:
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XRDX/pyleap | pyleap/color.py | hsla_to_rgba | def hsla_to_rgba(h, s, l, a):
""" 0 <= H < 360, 0 <= s,l,a < 1
"""
h = h % 360
s = max(0, min(1, s))
l = max(0, min(1, l))
a = max(0, min(1, a))
c = (1 - abs(2*l - 1)) * s
x = c * (1 - abs(h/60%2 - 1))
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NickMonzillo/SmartCloud | SmartCloud/utils.py | dir_list | def dir_list(directory):
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NickMonzillo/SmartCloud | SmartCloud/utils.py | colorize | def colorize(occurence,maxoccurence,minoccurence):
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NickMonzillo/SmartCloud | SmartCloud/utils.py | fontsize | def fontsize(count,maxsize,minsize,maxcount):
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size = int(maxsize - (maxsize)*((float(maxcount-count)/maxcount)))
if size < minsize:
size = minsize
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mobinrg/rpi_spark_drives | JMRPiSpark/Drives/Display/SSD1306.py | SSD1306Base._init_display | def _init_display(self):
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Initialize the SSD1306 display chip
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Write buffer to physical display.
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mobinrg/rpi_spark_drives | JMRPiSpark/Drives/Display/SSD1306.py | SSD1306Base.scrollWith | def scrollWith(self, hStart = 0x00, hEnd=0x00, vOffset = 0x00, vStart=0x00, vEnd=0x00, int = 0x00, dire = "left" ):
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Scroll screen
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praekeltfoundation/seed-scheduler | scheduler/tasks.py | QueueTasks.run | def run(self, schedule_type, lookup_id, **kwargs):
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Loads Schedule linked to provided lookup
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log.info("Queuing <%s> <%s>" % (schedule_type, lookup_id))
task_run = QueueTaskRun()
task_run.task_id = self.request.id or uuid4()
... | python | def run(self, schedule_type, lookup_id, **kwargs):
"""
Loads Schedule linked to provided lookup
"""
log = self.get_logger(**kwargs)
log.info("Queuing <%s> <%s>" % (schedule_type, lookup_id))
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Julian/Minion | minion/renderers.py | bind | def bind(renderer, to):
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Bind a renderer to the given callable by constructing a new rendering view.
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Formulka/django-fperms | fperms/__init__.py | get_perm_model | def get_perm_model():
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"""
Returns the Perm model that is active in this project.
"""
try:
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openstack/stacktach-winchester | winchester/config.py | ConfigManager._load_yaml_config | def _load_yaml_config(cls, config_data, filename="(unknown)"):
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errmsg = ("Inval... | python | def _load_yaml_config(cls, config_data, filename="(unknown)"):
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dmaust/rounding | rounding/stochastic.py | sround | def sround(x, precision=0):
"""
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@param x: to round.
@param precision: decimal places to round.
"""
sr = StochasticRound(precision=precision)
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"""
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@param precision: decimal places to round.
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sr = StochasticRound(precision=precision)
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pignacio/chorddb | chorddb/tab/parser.py | _parse_chord_line | def _parse_chord_line(line):
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chords = [
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''' Parse a chord line into a `ChordLineData` object. '''
chords = [
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pignacio/chorddb | chorddb/tab/parser.py | _get_line_type | def _get_line_type(line):
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stripped = line.strip()
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pignacio/chorddb | chorddb/tab/parser.py | parse_line | def parse_line(line):
''' Parse a line into a `TabLine` object. '''
line = line.rstrip()
line_type = _get_line_type(line)
return TabLine(
type=line_type,
data=_DATA_PARSERS[line_type](line),
original=line,
) | python | def parse_line(line):
''' Parse a line into a `TabLine` object. '''
line = line.rstrip()
line_type = _get_line_type(line)
return TabLine(
type=line_type,
data=_DATA_PARSERS[line_type](line),
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pignacio/chorddb | chorddb/tab/parser.py | parse_tablature | def parse_tablature(lines):
''' Parse a list of lines into a `Tablature`. '''
lines = [parse_line(l) for l in lines]
return Tablature(lines=lines) | python | def parse_tablature(lines):
''' Parse a list of lines into a `Tablature`. '''
lines = [parse_line(l) for l in lines]
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a2liu/mr-clean | mr_clean/_utils/io.py | preview | def preview(df,preview_rows = 20):#,preview_max_cols = 0):
""" Returns a preview of a dataframe, which contains both header
rows and tail rows.
"""
if preview_rows < 4:
preview_rows = 4
preview_rows = min(preview_rows,df.shape[0])
outer = math.floor(preview_rows / 4)
return pd.concat... | python | def preview(df,preview_rows = 20):#,preview_max_cols = 0):
""" Returns a preview of a dataframe, which contains both header
rows and tail rows.
"""
if preview_rows < 4:
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a2liu/mr-clean | mr_clean/_utils/io.py | title_line | def title_line(text):
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"""Returns a string that represents the
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start = columns // 2 - len(text) // 2
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dbuscher/pois | pois/__init__.py | RadiusGrid | def RadiusGrid(gridSize):
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x,y=np.mgrid[0:gridSize,0:gridSize]
x = x-(gridSize-1.0)/2.0
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"""
Return a square grid with values of the distance from the centre
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"""
x,y=np.mgrid[0:gridSize,0:gridSize]
x = x-(gridSize-1.0)/2.0
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dbuscher/pois | pois/__init__.py | CircularMaskGrid | def CircularMaskGrid(gridSize, diameter=None):
"""
Return a square grid with ones inside and zeros outside a given
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"""
if diameter is None: diameter=gridSize
return np.less_equal(RadiusGrid(gridSize),diameter/2.0) | python | def CircularMaskGrid(gridSize, diameter=None):
"""
Return a square grid with ones inside and zeros outside a given
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"""
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dbuscher/pois | pois/__init__.py | AdaptiveOpticsCorrect | def AdaptiveOpticsCorrect(pupils,diameter,maxRadial,numRemove=None):
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Correct a wavefront using Zernike rejection up to some maximal order.
Can operate on multiple telescopes in parallel.
Note that this version removes the piston mode as well
"""
gridSize=pupils.shape[-1]
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"""
Correct a wavefront using Zernike rejection up to some maximal order.
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dbuscher/pois | pois/__init__.py | FibreCouple | def FibreCouple(pupils,modeDiameter):
"""
Return the complex amplitudes coupled into a set of fibers
"""
gridSize=pupils.shape[-1]
pupilsVector=np.reshape(pupils,(-1,gridSize**2))
mode=np.reshape(FibreMode(gridSize,modeDiameter),(gridSize**2,))
return np.inner(pupilsVector,mode) | python | def FibreCouple(pupils,modeDiameter):
"""
Return the complex amplitudes coupled into a set of fibers
"""
gridSize=pupils.shape[-1]
pupilsVector=np.reshape(pupils,(-1,gridSize**2))
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dbuscher/pois | pois/__init__.py | SingleModeCombine | def SingleModeCombine(pupils,modeDiameter=None):
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Return the instantaneous coherent fluxes and photometric fluxes for a
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"""
if modeDiameter is None:
modeDiameter=0.9*pupils.shape[-1]
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"""
Return the instantaneous coherent fluxes and photometric fluxes for a
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"""
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TimSC/python-oauth10a | oauth10a/__init__.py | to_unicode | def to_unicode(s):
""" Convert to unicode, raise exception with instructive error
message if s is not unicode, ascii, or utf-8. """
if not isinstance(s, TEXT):
if not isinstance(s, bytes):
raise TypeError('You are required to pass either unicode or '
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""" Convert to unicode, raise exception with instructive error
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TimSC/python-oauth10a | oauth10a/__init__.py | Request.to_postdata | def to_postdata(self):
"""Serialize as post data for a POST request."""
items = []
for k, v in sorted(self.items()): # predictable for testing
items.append((k.encode('utf-8'), to_utf8_optional_iterator(v)))
# tell urlencode to deal with sequence values and map them correctl... | python | def to_postdata(self):
"""Serialize as post data for a POST request."""
items = []
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TimSC/python-oauth10a | oauth10a/__init__.py | Server.fetch_request_token | def fetch_request_token(self, oauth_request):
"""Processes a request_token request and returns the
request token on success.
"""
try:
# Get the request token for authorization.
token = self._get_token(oauth_request, 'request')
except Error:
# N... | python | def fetch_request_token(self, oauth_request):
"""Processes a request_token request and returns the
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"""
try:
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token = self._get_token(oauth_request, 'request')
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TimSC/python-oauth10a | oauth10a/__init__.py | Server.fetch_access_token | def fetch_access_token(self, oauth_request):
"""Processes an access_token request and returns the
access token on success.
"""
version = self._get_version(oauth_request)
consumer = self._get_consumer(oauth_request)
try:
verifier = self._get_verifier(oauth_requ... | python | def fetch_access_token(self, oauth_request):
"""Processes an access_token request and returns the
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"""
version = self._get_version(oauth_request)
consumer = self._get_consumer(oauth_request)
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TimSC/python-oauth10a | oauth10a/__init__.py | Server._get_token | def _get_token(self, oauth_request, token_type='access'):
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token_field = oauth_request.get_parameter('oauth_token')
token = self.data_store.lookup_token(token_type, token_field)
if not token:
raise OAuthError('Inv... | python | def _get_token(self, oauth_request, token_type='access'):
"""Try to find the token for the provided request token key."""
token_field = oauth_request.get_parameter('oauth_token')
token = self.data_store.lookup_token(token_type, token_field)
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jkitzes/macroeco | macroeco/models/_curves.py | mete_upscale_iterative_alt | def mete_upscale_iterative_alt(S, N, doublings):
"""
This function is used to upscale from the anchor area.
Parameters
----------
S : int or float
Number of species at anchor scale
N : int or float
Number of individuals at anchor scale
doublings : int
Number of doubl... | python | def mete_upscale_iterative_alt(S, N, doublings):
"""
This function is used to upscale from the anchor area.
Parameters
----------
S : int or float
Number of species at anchor scale
N : int or float
Number of individuals at anchor scale
doublings : int
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Parameters
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S : int or float
Number of species at anchor scale
N : int or float
Number of individuals at anchor scale
doublings : int
Number of doublings of A. Result vector will be length doublings + 1.
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jkitzes/macroeco | macroeco/models/_curves.py | curve.fit_lsq | def fit_lsq(self, x, y_obs, params_start=None):
"""
Fit curve by method of least squares.
Parameters
----------
x : iterable
Independent variable
y_obs : iterable
Dependent variable (values observed at x)
params_start : iterable
... | python | def fit_lsq(self, x, y_obs, params_start=None):
"""
Fit curve by method of least squares.
Parameters
----------
x : iterable
Independent variable
y_obs : iterable
Dependent variable (values observed at x)
params_start : iterable
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jkitzes/macroeco | macroeco/models/_curves.py | mete_sar_gen.fit_lsq | def fit_lsq(self, df):
"""
Parameterize generic SAR curve from empirical data set
Parameters
----------
df : DataFrame
Result data frame from empirical SAR analysis
Notes
-----
Simply returns S0 and N0 from empirical SAR output, which are two... | python | def fit_lsq(self, df):
"""
Parameterize generic SAR curve from empirical data set
Parameters
----------
df : DataFrame
Result data frame from empirical SAR analysis
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inveniosoftware-attic/invenio-comments | invenio_comments/models.py | after_insert | def after_insert(mapper, connection, target):
"""Update reply order cache and send record-after-update signal."""
record_after_update.send(CmtRECORDCOMMENT, recid=target.id_bibrec)
from .api import get_reply_order_cache_data
if target.in_reply_to_id_cmtRECORDCOMMENT > 0:
parent = CmtRECORDCOMM... | python | def after_insert(mapper, connection, target):
"""Update reply order cache and send record-after-update signal."""
record_after_update.send(CmtRECORDCOMMENT, recid=target.id_bibrec)
from .api import get_reply_order_cache_data
if target.in_reply_to_id_cmtRECORDCOMMENT > 0:
parent = CmtRECORDCOMM... | [
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inveniosoftware-attic/invenio-comments | invenio_comments/models.py | CmtRECORDCOMMENT.is_collapsed | def is_collapsed(self, id_user):
"""Return true if the comment is collapsed by user."""
return CmtCOLLAPSED.query.filter(db.and_(
CmtCOLLAPSED.id_bibrec == self.id_bibrec,
CmtCOLLAPSED.id_cmtRECORDCOMMENT == self.id,
CmtCOLLAPSED.id_user == id_user)).count() > 0 | python | def is_collapsed(self, id_user):
"""Return true if the comment is collapsed by user."""
return CmtCOLLAPSED.query.filter(db.and_(
CmtCOLLAPSED.id_bibrec == self.id_bibrec,
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inveniosoftware-attic/invenio-comments | invenio_comments/models.py | CmtRECORDCOMMENT.collapse | def collapse(self, id_user):
"""Collapse comment beloging to user."""
c = CmtCOLLAPSED(id_bibrec=self.id_bibrec, id_cmtRECORDCOMMENT=self.id,
id_user=id_user)
db.session.add(c)
db.session.commit() | python | def collapse(self, id_user):
"""Collapse comment beloging to user."""
c = CmtCOLLAPSED(id_bibrec=self.id_bibrec, id_cmtRECORDCOMMENT=self.id,
id_user=id_user)
db.session.add(c)
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inveniosoftware-attic/invenio-comments | invenio_comments/models.py | CmtRECORDCOMMENT.expand | def expand(self, id_user):
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inveniosoftware-attic/invenio-comments | invenio_comments/models.py | CmtRECORDCOMMENT.count | def count(cls, *criteria, **filters):
"""Count how many comments."""
return cls.query.filter(*criteria).filter_by(**filters).count() | python | def count(cls, *criteria, **filters):
"""Count how many comments."""
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aumayr/beancount-pygments-lexer | beancount_pygments_lexer/util/version.py | get_version | def get_version(version=None):
"""Returns a tuple of the django version. If version argument is non-empty,
then checks for correctness of the tuple provided.
"""
if version[4] > 0: # 0.2.1-alpha.1
return "%s.%s.%s-%s.%s" % (version[0], version[1], version[2], version[3], version[4])
elif v... | python | def get_version(version=None):
"""Returns a tuple of the django version. If version argument is non-empty,
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"""
if version[4] > 0: # 0.2.1-alpha.1
return "%s.%s.%s-%s.%s" % (version[0], version[1], version[2], version[3], version[4])
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mixer/beam-interactive-python | beam_interactive/connection.py | Connection._push_packet | def _push_packet(self, packet):
"""
Appends a packet to the internal read queue, or notifies
a waiting listener that a packet just came in.
"""
self._read_queue.append((decode(packet), packet))
if self._read_waiter is not None:
w, self._read_waiter = self._re... | python | def _push_packet(self, packet):
"""
Appends a packet to the internal read queue, or notifies
a waiting listener that a packet just came in.
"""
self._read_queue.append((decode(packet), packet))
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mixer/beam-interactive-python | beam_interactive/connection.py | Connection._read_data | def _read_data(self):
"""
Reads data from the connection and adds it to _push_packet,
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"""
while True:
try:
data = yield from self._socket.recv()
except asyncio.CancelledError:
... | python | def _read_data(self):
"""
Reads data from the connection and adds it to _push_packet,
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"""
while True:
try:
data = yield from self._socket.recv()
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mixer/beam-interactive-python | beam_interactive/connection.py | Connection.wait_message | def wait_message(self):
"""
Waits until a connection is available on the wire, or until
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It returns True if a message is available, False otherwise.
"""
if self._state != states['open']:
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... | python | def wait_message(self):
"""
Waits until a connection is available on the wire, or until
the connection is in a state that it can't accept messages.
It returns True if a message is available, False otherwise.
"""
if self._state != states['open']:
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QualiSystems/CloudShell-Traffic | cloudshell/traffic/tg_helper.py | get_reservation_ports | def get_reservation_ports(session, reservation_id, model_name='Generic Traffic Generator Port'):
""" Get all Generic Traffic Generator Port in reservation.
:return: list of all Generic Traffic Generator Port resource objects in reservation
"""
reservation_ports = []
reservation = session.GetReserv... | python | def get_reservation_ports(session, reservation_id, model_name='Generic Traffic Generator Port'):
""" Get all Generic Traffic Generator Port in reservation.
:return: list of all Generic Traffic Generator Port resource objects in reservation
"""
reservation_ports = []
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