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intuition-io/insights | insights/plugins/hipchat.py | Bot.message | def message(self, body, room_id, style='text'):
''' Send a message to the given room '''
# TODO Automatically detect body format ?
path = 'rooms/message'
data = {
'room_id': room_id,
'message': body,
'from': self.name,
'notify': 1,
... | python | def message(self, body, room_id, style='text'):
''' Send a message to the given room '''
# TODO Automatically detect body format ?
path = 'rooms/message'
data = {
'room_id': room_id,
'message': body,
'from': self.name,
'notify': 1,
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tethysplatform/condorpy | condorpy/job.py | Job.job_file | def job_file(self):
"""The path to the submit description file representing this job.
"""
job_file_name = '%s.job' % (self.name)
job_file_path = os.path.join(self.initial_dir, job_file_name)
self._job_file = job_file_path
return self._job_file | python | def job_file(self):
"""The path to the submit description file representing this job.
"""
job_file_name = '%s.job' % (self.name)
job_file_path = os.path.join(self.initial_dir, job_file_name)
self._job_file = job_file_path
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tethysplatform/condorpy | condorpy/job.py | Job.log_file | def log_file(self):
"""The path to the log file for this job.
"""
log_file = self.get('log')
if not log_file:
log_file = '%s.log' % (self.name)
self.set('log', log_file)
return os.path.join(self.initial_dir, self.get('log')) | python | def log_file(self):
"""The path to the log file for this job.
"""
log_file = self.get('log')
if not log_file:
log_file = '%s.log' % (self.name)
self.set('log', log_file)
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tethysplatform/condorpy | condorpy/job.py | Job.initial_dir | def initial_dir(self):
"""The initial directory defined for the job.
All input files, and log files are relative to this directory. Output files will be copied into this
directory by default. This directory will be created if it doesn't already exist when the job is submitted.
Note:
... | python | def initial_dir(self):
"""The initial directory defined for the job.
All input files, and log files are relative to this directory. Output files will be copied into this
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tethysplatform/condorpy | condorpy/job.py | Job.submit | def submit(self, queue=None, options=[]):
"""Submits the job either locally or to a remote server if it is defined.
Args:
queue (int, optional): The number of sub-jobs to run. This argmuent will set the num_jobs attribute of
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"""Submits the job either locally or to a remote server if it is defined.
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tethysplatform/condorpy | condorpy/job.py | Job.wait | def wait(self, options=[], sub_job_num=None):
"""Wait for the job, or a sub-job to complete.
Args:
options (list of str, optional): A list of command line options for the condor_wait command. For
details on valid options see: http://research.cs.wisc.edu/htcondor/manual/curre... | python | def wait(self, options=[], sub_job_num=None):
"""Wait for the job, or a sub-job to complete.
Args:
options (list of str, optional): A list of command line options for the condor_wait command. For
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tethysplatform/condorpy | condorpy/job.py | Job.get | def get(self, attr, value=None, resolve=True):
"""Get the value of an attribute from submit description file.
Args:
attr (str): The name of the attribute whose value should be returned.
value (str, optional): A default value to return if 'attr' doesn't exist. Defaults to None.
... | python | def get(self, attr, value=None, resolve=True):
"""Get the value of an attribute from submit description file.
Args:
attr (str): The name of the attribute whose value should be returned.
value (str, optional): A default value to return if 'attr' doesn't exist. Defaults to None.
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tethysplatform/condorpy | condorpy/job.py | Job.set | def set(self, attr, value):
"""Set the value of an attribute in the submit description file.
The value can be passed in as a Python type (i.e. a list, a tuple or a Python boolean).
The Python values will be reformatted into strings based on the standards described in
the HTCondor manual... | python | def set(self, attr, value):
"""Set the value of an attribute in the submit description file.
The value can be passed in as a Python type (i.e. a list, a tuple or a Python boolean).
The Python values will be reformatted into strings based on the standards described in
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tethysplatform/condorpy | condorpy/job.py | Job._update_status | def _update_status(self, sub_job_num=None):
"""Gets the job status.
Return:
str: The current status of the job
"""
job_id = '%s.%s' % (self.cluster_id, sub_job_num) if sub_job_num else str(self.cluster_id)
format = ['-format', '"%d"', 'JobStatus']
cmd = 'con... | python | def _update_status(self, sub_job_num=None):
"""Gets the job status.
Return:
str: The current status of the job
"""
job_id = '%s.%s' % (self.cluster_id, sub_job_num) if sub_job_num else str(self.cluster_id)
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tethysplatform/condorpy | condorpy/job.py | Job._resolve_attribute | def _resolve_attribute(self, attribute):
"""Recursively replaces references to other attributes with their value.
Args:
attribute (str): The name of the attribute to resolve.
Returns:
str: The resolved value of 'attribute'.
"""
value = self.attributes[a... | python | def _resolve_attribute(self, attribute):
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attribute (str): The name of the attribute to resolve.
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str: The resolved value of 'attribute'.
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tethysplatform/condorpy | condorpy/job.py | Job._resolve_attribute_match | def _resolve_attribute_match(self, match):
"""Replaces a reference to an attribute with the value of the attribute.
Args:
match (re.match object): A match object containing a match to a reference to an attribute.
"""
if match.group(1) == 'cluster':
return str(se... | python | def _resolve_attribute_match(self, match):
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match (re.match object): A match object containing a match to a reference to an attribute.
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ktdreyer/txkoji | txkoji/channel.py | Channel.total_capacity | def total_capacity(self):
"""
Find the total task capacity available for this channel.
Query all the enabled hosts for this channel and sum up all the
capacities.
Each task has a "weight". Each task will be in "FREE" state until
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Find the total task capacity available for this channel.
Query all the enabled hosts for this channel and sum up all the
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tjcsl/cslbot | cslbot/commands/google.py | cmd | def cmd(send, msg, args):
"""Googles something.
Syntax: {command} <term>
"""
if not msg:
send("Google what?")
return
key = args['config']['api']['googleapikey']
cx = args['config']['api']['googlesearchid']
data = get('https://www.googleapis.com/customsearch/v1', params={'ke... | python | def cmd(send, msg, args):
"""Googles something.
Syntax: {command} <term>
"""
if not msg:
send("Google what?")
return
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rraadd88/rohan | rohan/dandage/__init__.py | get_deps | def get_deps(cfg=None,deps=[]):
"""
Installs conda dependencies.
:param cfg: configuration dict
"""
if not cfg is None:
if not 'deps' in cfg:
cfg['deps']=deps
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deps=cfg['deps']
if not len(deps)==0:
for dep in deps:
if not dep in c... | python | def get_deps(cfg=None,deps=[]):
"""
Installs conda dependencies.
:param cfg: configuration dict
"""
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Syndace/python-xeddsa | xeddsa/xeddsa.py | XEdDSA.mont_pub_from_mont_priv | def mont_pub_from_mont_priv(cls, mont_priv):
"""
Restore the Montgomery public key from a Montgomery private key.
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:returns: A bytes-like object encoding the public key with length
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"""
Restore the Montgomery public key from a Montgomery private key.
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Syndace/python-xeddsa | xeddsa/xeddsa.py | XEdDSA.mont_priv_to_ed_pair | def mont_priv_to_ed_pair(cls, mont_priv):
"""
Derive a Twisted Edwards key pair from given Montgomery private key.
:param mont_priv: A bytes-like object encoding the private key with length
MONT_PRIV_KEY_SIZE.
:returns: A tuple of bytes-like objects encoding the private key ... | python | def mont_priv_to_ed_pair(cls, mont_priv):
"""
Derive a Twisted Edwards key pair from given Montgomery private key.
:param mont_priv: A bytes-like object encoding the private key with length
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Derive a Twisted Edwards public key from given Montgomery public key.
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Syndace/python-xeddsa | xeddsa/xeddsa.py | XEdDSA.sign | def sign(self, data, nonce = None):
"""
Sign data using the Montgomery private key stored by this XEdDSA instance.
:param data: A bytes-like object containing the data to sign.
:param nonce: A bytes-like object with length 64 or None.
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"""
Sign data using the Montgomery private key stored by this XEdDSA instance.
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Syndace/python-xeddsa | xeddsa/xeddsa.py | XEdDSA.verify | def verify(self, data, signature):
"""
Verify signed data using the Montgomery public key stored by this XEdDSA instance.
:param data: A bytes-like object containing the data that was signed.
:param signature: A bytes-like object encoding the signature with length
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"""
Verify signed data using the Montgomery public key stored by this XEdDSA instance.
:param data: A bytes-like object containing the data that was signed.
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ZanderBrown/nudatus | nudatus.py | mangle | def mangle(text):
"""
Takes a script and mangles it
TokenError is thrown when encountering bad syntax
"""
text_bytes = text.encode('utf-8')
# Wrap the input script as a byte stream
buff = BytesIO(text_bytes)
# Byte stream for the mangled script
mangled = BytesIO()
last_tok = ... | python | def mangle(text):
"""
Takes a script and mangles it
TokenError is thrown when encountering bad syntax
"""
text_bytes = text.encode('utf-8')
# Wrap the input script as a byte stream
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ZanderBrown/nudatus | nudatus.py | main | def main(argv=None):
"""
Command line entry point
"""
if not argv:
argv = sys.argv[1:]
parser = argparse.ArgumentParser(description=_HELP_TEXT)
parser.add_argument('input', nargs='?', default=None)
parser.add_argument('output', nargs='?', default=None)
parser.add_argument('--ver... | python | def main(argv=None):
"""
Command line entry point
"""
if not argv:
argv = sys.argv[1:]
parser = argparse.ArgumentParser(description=_HELP_TEXT)
parser.add_argument('input', nargs='?', default=None)
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raymondEhlers/pachyderm | pachyderm/histogram.py | get_histograms_in_list | def get_histograms_in_list(filename: str, list_name: str = None) -> Dict[str, Any]:
""" Get histograms from the file and make them available in a dict.
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raymondEhlers/pachyderm | pachyderm/histogram.py | _retrieve_object | def _retrieve_object(output_dict: Dict[str, Any], obj: Any) -> None:
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raymondEhlers/pachyderm | pachyderm/histogram.py | get_array_from_hist2D | def get_array_from_hist2D(hist: Hist, set_zero_to_NaN: bool = True, return_bin_edges: bool = False) -> Tuple[np.ndarray, np.ndarray, np.ndarray]:
""" Extract x, y, and bin values from a 2D ROOT histogram.
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raymondEhlers/pachyderm | pachyderm/histogram.py | get_bin_edges_from_axis | def get_bin_edges_from_axis(axis) -> np.ndarray:
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lowandrew/OLCTools | spadespipeline/sistr.py | Sistr.sistr | def sistr(self):
"""Perform sistr analyses on Salmonella"""
logging.info('Performing sistr analyses')
with progressbar(self.metadata) as bar:
for sample in bar:
# Create the analysis-type specific attribute
setattr(sample, self.analysistype, GenObject(... | python | def sistr(self):
"""Perform sistr analyses on Salmonella"""
logging.info('Performing sistr analyses')
with progressbar(self.metadata) as bar:
for sample in bar:
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lowandrew/OLCTools | spadespipeline/sistr.py | Sistr.report | def report(self):
"""Creates sistr reports"""
# Initialise strings to store report data
header = '\t'.join(self.headers) + '\n'
data = ''
for sample in self.metadata:
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# Each strain is a fresh row
... | python | def report(self):
"""Creates sistr reports"""
# Initialise strings to store report data
header = '\t'.join(self.headers) + '\n'
data = ''
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portfors-lab/sparkle | sparkle/gui/stim/abstract_editor.py | AbstractEditorWidget.purgeDeletedWidgets | def purgeDeletedWidgets():
"""Finds old references to stashed fields and deletes them"""
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lowandrew/OLCTools | spadespipeline/fastqmover.py | FastqMover.movefastq | def movefastq(self):
"""Find .fastq files for each sample and move them to an appropriately named folder"""
logging.info('Moving FASTQ files')
# Iterate through each sample
for sample in self.metadata.runmetadata.samples:
# Retrieve the output directory
outputdir ... | python | def movefastq(self):
"""Find .fastq files for each sample and move them to an appropriately named folder"""
logging.info('Moving FASTQ files')
# Iterate through each sample
for sample in self.metadata.runmetadata.samples:
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oracal/cineworld | cineworld/cineworld.py | CW.get_list | def get_list(self, datatype, url, **kwargs):
"""base function for connecting to API"""
search_url = [url, '?']
kwargs.update({'key': self.api_key})
search_url.append(urlencode(kwargs))
data = json.loads(urlopen(''.join(search_url)).read())
return data[datatype] | python | def get_list(self, datatype, url, **kwargs):
"""base function for connecting to API"""
search_url = [url, '?']
kwargs.update({'key': self.api_key})
search_url.append(urlencode(kwargs))
data = json.loads(urlopen(''.join(search_url)).read())
return data[datatype] | [
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oracal/cineworld | cineworld/cineworld.py | CW.film_search | def film_search(self, title):
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films = []
#check for cache or update
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self.get_film_list()
#iterate over films and check for fuzzy string match
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"""film search using fuzzy matching"""
films = []
#check for cache or update
if not hasattr(self, 'film_list'):
self.get_film_list()
#iterate over films and check for fuzzy string match
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oracal/cineworld | cineworld/cineworld.py | CW.get_film_id | def get_film_id(self, title, three_dimensional=False):
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for film in films:
if (film['title'].find('3D') is - 1) is not three_dimensional:
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portfors-lab/sparkle | sparkle/run/search_runner.py | SearchRunner.set_current_stim_parameter | def set_current_stim_parameter(self, param, val):
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:type param: str
:param val: new value to set the parameter to
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"""Sets a parameter on the current stimulus
:param param: name of the parameter of the stimulus to set
:type param: str
:param val: new value to set the parameter to
"""
component = self._stimulus.component(0,1)
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portfors-lab/sparkle | sparkle/run/search_runner.py | SearchRunner.save_to_file | def save_to_file(self, data, stamp):
"""Saves data to current dataset.
:param data: data to save to file
:type data: numpy.ndarray
:param stamp: time stamp of when the data was acquired
:type stamp: str
"""
self.datafile.append(self.current_dataset_name, data)
... | python | def save_to_file(self, data, stamp):
"""Saves data to current dataset.
:param data: data to save to file
:type data: numpy.ndarray
:param stamp: time stamp of when the data was acquired
:type stamp: str
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self.datafile.append(self.current_dataset_name, data)
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lsst-sqre/sqre-codekit | codekit/progressbar.py | countdown_timer | def countdown_timer(seconds=10):
"""Show a simple countdown progress bar
Parameters
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seconds
Period of time the progress bar takes to reach zero.
"""
tick = 0.1 # seconds
n_ticks = int(seconds / tick)
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"""Show a simple countdown progress bar
Parameters
----------
seconds
Period of time the progress bar takes to reach zero.
"""
tick = 0.1 # seconds
n_ticks = int(seconds / tick)
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sirfoga/pyhal | hal/files/save_as.py | FileSaver.write_dicts_to_csv | def write_dicts_to_csv(self, dicts):
"""Saves .csv file with posts data
:param dicts: Dictionaries with same values
"""
csv_headers = sorted(dicts[0].keys())
with open(self.path, "w") as out_file: # write to file
dict_writer = csv.DictWriter(
out_fil... | python | def write_dicts_to_csv(self, dicts):
"""Saves .csv file with posts data
:param dicts: Dictionaries with same values
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csv_headers = sorted(dicts[0].keys())
with open(self.path, "w") as out_file: # write to file
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sirfoga/pyhal | hal/files/save_as.py | FileSaver.write_matrix_to_csv | def write_matrix_to_csv(self, headers, data):
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:param data: Data
"""
with open(self.path, "w") as out_file: # write to file
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"""Saves .csv file with data
:param headers: column names
:param data: Data
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sirfoga/pyhal | hal/files/save_as.py | FileSaver.write_dicts_to_json | def write_dicts_to_json(self, data):
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:param data: Data
"""
with open(self.path, "w") as out:
json.dump(
data, # data
out, # file handler
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"""Saves .json file with data
:param data: Data
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portfors-lab/sparkle | sparkle/run/acquisition_manager.py | AcquisitionManager.start_listening | def start_listening(self):
"""Start listener threads for acquistion callback queues"""
self._qlisten()
self._halt_threads = False
for t in self.queue_threads:
t.start() | python | def start_listening(self):
"""Start listener threads for acquistion callback queues"""
self._qlisten()
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portfors-lab/sparkle | sparkle/run/acquisition_manager.py | AcquisitionManager.stop_listening | def stop_listening(self):
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"""Stop listener threads for acquistion queues"""
self._halt_threads = True
# wake them up so that they can die
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portfors-lab/sparkle | sparkle/run/acquisition_manager.py | AcquisitionManager.set_queue_callback | def set_queue_callback(self, name, func):
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:type name: str
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portfors-lab/sparkle | sparkle/run/acquisition_manager.py | AcquisitionManager.set_calibration | def set_calibration(self, datakey, calf=None, frange=None):
"""Sets a calibration for all of the acquisition operations,
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portfors-lab/sparkle | sparkle/run/acquisition_manager.py | AcquisitionManager.set_calibration_duration | def set_calibration_duration(self, dur):
"""Sets the stimulus duration for the calibration stimulus. Sets for calibration chirp, test tone, and calibration curve tones
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:type dur: float
"""
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... | python | def set_calibration_duration(self, dur):
"""Sets the stimulus duration for the calibration stimulus. Sets for calibration chirp, test tone, and calibration curve tones
:param dur: Duration (seconds) of output signal
:type dur: float
"""
self.bs_calibrator.set_duration(dur)
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portfors-lab/sparkle | sparkle/run/acquisition_manager.py | AcquisitionManager.set_calibration_reps | def set_calibration_reps(self, reps):
"""Sets the number of repetitions for calibration stimuli
:param reps: Number of times a unique stimulus is presented in calibration operations
:type reps: int
"""
self.bs_calibrator.set_reps(reps)
self.tone_calibrator.set_reps(reps) | python | def set_calibration_reps(self, reps):
"""Sets the number of repetitions for calibration stimuli
:param reps: Number of times a unique stimulus is presented in calibration operations
:type reps: int
"""
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portfors-lab/sparkle | sparkle/run/acquisition_manager.py | AcquisitionManager.load_data_file | def load_data_file(self, fname, filemode='a'):
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:type fname: str
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"""Opens an existing data file to append to
:param fname: File path of the location for the data file to open
:type fname: str
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portfors-lab/sparkle | sparkle/run/acquisition_manager.py | AcquisitionManager.set_threshold | def set_threshold(self, threshold):
"""Sets spike detection threshold
:param threshold: electrical potential to determine spikes (V)
:type threshold: float
"""
self.explorer.set_threshold(threshold)
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"""Sets spike detection threshold
:param threshold: electrical potential to determine spikes (V)
:type threshold: float
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portfors-lab/sparkle | sparkle/run/acquisition_manager.py | AcquisitionManager.set | def set(self, **kwargs):
"""Sets acquisition parameters for all acquisition types
See :meth:`AbstractAcquisitionRunner<sparkle.run.abstract_acquisition.AbstractAcquisitionRunner.set>`
"""
self.explorer.set(**kwargs)
self.protocoler.set(**kwargs)
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"""Sets acquisition parameters for all acquisition types
See :meth:`AbstractAcquisitionRunner<sparkle.run.abstract_acquisition.AbstractAcquisitionRunner.set>`
"""
self.explorer.set(**kwargs)
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portfors-lab/sparkle | sparkle/run/acquisition_manager.py | AcquisitionManager.set_mphone_calibration | def set_mphone_calibration(self, sens, db):
"""Sets the microphone calibration, for the purpose of calculating recorded dB levels
:param sens: microphone sensitivity (V)
:type sens: float
:param db: dB SPL that the calibration was measured at
:type db: int
"""
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"""Sets the microphone calibration, for the purpose of calculating recorded dB levels
:param sens: microphone sensitivity (V)
:type sens: float
:param db: dB SPL that the calibration was measured at
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portfors-lab/sparkle | sparkle/run/acquisition_manager.py | AcquisitionManager.run_chart_protocol | def run_chart_protocol(self, interval):
"""Runs the stimuli presentation during a chart acquisition
:param interval: The repetition interval between stimuli presentations (seconds)
:type interval: float
:returns: :py:class:`threading.Thread` -- the acquisition thread
"""
... | python | def run_chart_protocol(self, interval):
"""Runs the stimuli presentation during a chart acquisition
:param interval: The repetition interval between stimuli presentations (seconds)
:type interval: float
:returns: :py:class:`threading.Thread` -- the acquisition thread
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portfors-lab/sparkle | sparkle/run/acquisition_manager.py | AcquisitionManager.process_calibration | def process_calibration(self, save=True, calf=20000):
"""Processes a completed calibration
:param save: Wether to save this calibration to file
:type save: bool
:param calf: Frequency for which to reference attenuation curve from
:type calf: int
:returns: str -- name of ... | python | def process_calibration(self, save=True, calf=20000):
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portfors-lab/sparkle | sparkle/run/acquisition_manager.py | AcquisitionManager.close_data | def close_data(self):
"""Closes the current data file"""
# save the total number of cells to make re-loading convient
if self.datafile is not None:
if self.datafile.filemode != 'r':
self.datafile.set_metadata('', {'total cells': self.current_cellid})
self.... | python | def close_data(self):
"""Closes the current data file"""
# save the total number of cells to make re-loading convient
if self.datafile is not None:
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self.datafile.set_metadata('', {'total cells': self.current_cellid})
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portfors-lab/sparkle | sparkle/run/acquisition_manager.py | AcquisitionManager.calibration_stimulus | def calibration_stimulus(self, mode):
"""Gets the stimulus model for calibration
:param mode: Type of stimulus to get: tone or noise
:type mode: str
:returns: :class:`StimulusModel<sparkle.stim.stimulus_model.StimulusModel>`
"""
if mode == 'tone':
return self... | python | def calibration_stimulus(self, mode):
"""Gets the stimulus model for calibration
:param mode: Type of stimulus to get: tone or noise
:type mode: str
:returns: :class:`StimulusModel<sparkle.stim.stimulus_model.StimulusModel>`
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portfors-lab/sparkle | sparkle/run/acquisition_manager.py | AcquisitionManager.calibration_template | def calibration_template(self):
"""Gets the template documentation for the both the tone curve calibration and noise calibration
:returns: dict -- all information necessary to recreate calibration objects
"""
temp = {}
temp['tone_doc'] = self.tone_calibrator.stimulus.templateDoc... | python | def calibration_template(self):
"""Gets the template documentation for the both the tone curve calibration and noise calibration
:returns: dict -- all information necessary to recreate calibration objects
"""
temp = {}
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portfors-lab/sparkle | sparkle/run/acquisition_manager.py | AcquisitionManager.load_calibration_template | def load_calibration_template(self, template):
"""Reloads calibration settings from saved template doc
:param template: Values for calibration stimuli (see calibration_template function)
:type template: dict
"""
self.tone_calibrator.stimulus.clearComponents()
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"""Reloads calibration settings from saved template doc
:param template: Values for calibration stimuli (see calibration_template function)
:type template: dict
"""
self.tone_calibrator.stimulus.clearComponents()
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portfors-lab/sparkle | sparkle/run/acquisition_manager.py | AcquisitionManager.attenuator_connection | def attenuator_connection(self, connect=True):
"""Checks the connection to the attenuator, and attempts to connect if not connected.
Will also set an appropriate ouput minimum for stimuli, if connection successful
:returns: bool - whether there is a connection
"""
# all or none... | python | def attenuator_connection(self, connect=True):
"""Checks the connection to the attenuator, and attempts to connect if not connected.
Will also set an appropriate ouput minimum for stimuli, if connection successful
:returns: bool - whether there is a connection
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agramian/subprocess-manager | subprocess_manager/nbstream_readerwriter.py | NonBlockingStreamReaderWriter.readline | def readline(self, timeout = 0.1):
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"""Try to read a line from the stream queue.
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yamcs/yamcs-python | yamcs-client/yamcs/tmtc/model.py | CommandHistory.verification_events | def verification_events(self):
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Events related to command verification.
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"""
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"""
Events related to command verification.
:type: List[:class:`.CommandHistoryEvent`]
"""
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yamcs/yamcs-python | yamcs-client/yamcs/tmtc/model.py | CommandHistory.events | def events(self):
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yamcs/yamcs-python | yamcs-client/yamcs/tmtc/model.py | IssuedCommand.generation_time | def generation_time(self):
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yamcs/yamcs-python | yamcs-client/yamcs/tmtc/model.py | IssuedCommand.queue | def queue(self):
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"""The name of the queue that this command was assigned to."""
entry = self._proto.commandQueueEntry
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yamcs/yamcs-python | yamcs-client/yamcs/tmtc/model.py | IssuedCommand.origin | def origin(self):
"""
The origin of this command. This is often empty, but may
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"""
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return entry.cmdId.origin
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The origin of this command. This is often empty, but may
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yamcs/yamcs-python | yamcs-client/yamcs/tmtc/model.py | IssuedCommand.sequence_number | def sequence_number(self):
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"""
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"""
The sequence number of this command. This is the sequence
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"""
entry = self._proto.commandQueueEntry
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return entry.cmdId.sequenceNumber
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"""
Create a new command history subscription for this command.
:param on_data: Function that gets called with :class:`.CommandHistory`
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"""
Create a new command history subscription for this command.
:param on_data: Function that gets called with :class:`.CommandHistory`
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yamcs/yamcs-python | yamcs-client/yamcs/tmtc/model.py | Alarm.acknowledged_by | def acknowledged_by(self):
"""Username of the acknowledger."""
if (self.is_acknowledged and
self._proto.acknowledgeInfo.HasField('acknowledgedBy')):
return self._proto.acknowledgeInfo.acknowledgedBy
return None | python | def acknowledged_by(self):
"""Username of the acknowledger."""
if (self.is_acknowledged and
self._proto.acknowledgeInfo.HasField('acknowledgedBy')):
return self._proto.acknowledgeInfo.acknowledgedBy
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yamcs/yamcs-python | yamcs-client/yamcs/tmtc/model.py | Alarm.acknowledge_message | def acknowledge_message(self):
"""Comment provided when acknowledging the alarm."""
if (self.is_acknowledged and
self._proto.acknowledgeInfo.HasField('acknowledgeMessage')):
return self._proto.acknowledgeInfo.acknowledgeMessage
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"""Comment provided when acknowledging the alarm."""
if (self.is_acknowledged and
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return self._proto.acknowledgeInfo.acknowledgeMessage
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yamcs/yamcs-python | yamcs-client/yamcs/tmtc/model.py | Alarm.acknowledge_time | def acknowledge_time(self):
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Processor time when the alarm was acknowledged.
:type: :class:`~datetime.datetime`
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Processor time when the alarm was acknowledged.
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if self._proto.id.namespace:
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yamcs/yamcs-python | yamcs-client/yamcs/tmtc/model.py | ParameterValue.validity_duration | def validity_duration(self):
"""
How long this parameter value is valid.
.. note: There is also an option when subscribing to get updated when
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:type: :class:`~datetime.timedelta`
"""
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... | python | def validity_duration(self):
"""
How long this parameter value is valid.
.. note: There is also an option when subscribing to get updated when
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:type: :class:`~datetime.timedelta`
"""
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yamcs/yamcs-python | yamcs-client/yamcs/tmtc/model.py | ParameterValue.range_condition | def range_condition(self):
"""
If the value is out of limits, this indicates ``LOW`` or ``HIGH``.
"""
if self._proto.HasField('rangeCondition'):
return pvalue_pb2.RangeCondition.Name(self._proto.rangeCondition)
return None | python | def range_condition(self):
"""
If the value is out of limits, this indicates ``LOW`` or ``HIGH``.
"""
if self._proto.HasField('rangeCondition'):
return pvalue_pb2.RangeCondition.Name(self._proto.rangeCondition)
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lowandrew/OLCTools | sipprCommon/sippingmethods.py | Sippr.reversebait | def reversebait(self, maskmiddle='f', k=19):
"""
Use the freshly-baited FASTQ files to bait out sequence from the original target files. This will reduce the
number of possibly targets against which the baited reads must be aligned
"""
logging.info('Performing reverse kmer baitin... | python | def reversebait(self, maskmiddle='f', k=19):
"""
Use the freshly-baited FASTQ files to bait out sequence from the original target files. This will reduce the
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lowandrew/OLCTools | sipprCommon/sippingmethods.py | Sippr.clipper | def clipper(self):
"""
Filter out results based on the presence of cigar features such as internal soft-clipping
"""
for sample in self.runmetadata:
# Create a dictionary to store all the samples that do not have features
replacementresults = dict()
tr... | python | def clipper(self):
"""
Filter out results based on the presence of cigar features such as internal soft-clipping
"""
for sample in self.runmetadata:
# Create a dictionary to store all the samples that do not have features
replacementresults = dict()
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sirfoga/pyhal | hal/help.py | main | def main():
"""Pretty-print the bug information as JSON"""
reporter = BugReporter()
print("JSON report:")
print(reporter.as_json())
print()
print("Markdown report:")
print(reporter.as_markdown())
print("SQL report:")
print(reporter.as_sql())
print("Choose the appropriate for... | python | def main():
"""Pretty-print the bug information as JSON"""
reporter = BugReporter()
print("JSON report:")
print(reporter.as_json())
print()
print("Markdown report:")
print(reporter.as_markdown())
print("SQL report:")
print(reporter.as_sql())
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sirfoga/pyhal | hal/help.py | BugReporter.get_platform_info | def get_platform_info():
"""Gets platform info
:return: platform info
"""
try:
system_name = platform.system()
release_name = platform.release()
except:
system_name = "Unknown"
release_name = "Unknown"
return {
... | python | def get_platform_info():
"""Gets platform info
:return: platform info
"""
try:
system_name = platform.system()
release_name = platform.release()
except:
system_name = "Unknown"
release_name = "Unknown"
return {
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sirfoga/pyhal | hal/help.py | BugReporter.get_bug_report | def get_bug_report():
"""Generate information for a bug report
:return: information for bug report
"""
platform_info = BugReporter.get_platform_info()
module_info = {
'version': hal_version.__version__,
'build': hal_version.__build__
}
re... | python | def get_bug_report():
"""Generate information for a bug report
:return: information for bug report
"""
platform_info = BugReporter.get_platform_info()
module_info = {
'version': hal_version.__version__,
'build': hal_version.__build__
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yamcs/yamcs-python | yamcs-client/yamcs/core/helpers.py | to_isostring | def to_isostring(dt):
"""
Converts the given datetime to an ISO String.
This assumes the datetime is UTC.
"""
if dt.tzinfo is not None and dt.tzinfo.utcoffset(dt) > timedelta(0):
logging.warn('Warning: aware datetimes are interpreted as if they were naive')
# -3 to change microseconds t... | python | def to_isostring(dt):
"""
Converts the given datetime to an ISO String.
This assumes the datetime is UTC.
"""
if dt.tzinfo is not None and dt.tzinfo.utcoffset(dt) > timedelta(0):
logging.warn('Warning: aware datetimes are interpreted as if they were naive')
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yamcs/yamcs-python | yamcs-client/yamcs/core/helpers.py | parse_value | def parse_value(proto):
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return proto.doubleValue
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Retrieve data as a Pandas dataframe.
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portfors-lab/sparkle | sparkle/gui/stim/auto_parameter_view.py | AutoParameterTableView.grabImage | def grabImage(self, index):
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# grab an image of the cell we are moving
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row_height = self.row... | python | def grabImage(self, index):
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Re-implemented from :meth:`AbstractDragView<sparkle.gui.abstract_drag_view.AbstractDragView.grabImage>`
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# selecting the row sets the current index to 0,0 for tab
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outini/python-pylls | pylls/client.py | CachetAPIClient.request | def request(self, path, method, data=None, **kwargs):
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:param dict data: Data to send (optional)
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etal/biocma | biocma/sugar.py | maybe_open | def maybe_open(infile, mode='r'):
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sirfoga/pyhal | hal/internet/parser.py | HtmlTable._get_row_tag | def _get_row_tag(row, tag):
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:param tag: tag to get
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"""
is_empty = True
data = []
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sirfoga/pyhal | hal/internet/parser.py | HtmlTable._parse_row | def _parse_row(row):
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sirfoga/pyhal | hal/internet/parser.py | HtmlTable.parse | def parse(self):
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moin18/utilspie | utilspie/importutils/import_utils.py | delete_module | def delete_module(modname):
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moin18/utilspie | utilspie/importutils/import_utils.py | reload_module | def reload_module(module):
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Reload the Python module
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moin18/utilspie | utilspie/importutils/import_utils.py | lazy_load_modules | def lazy_load_modules(*modules):
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NoviceLive/intellicoder | intellicoder/init.py | LevelFormatter.format | def format(self, record):
"""
Format the record using the corresponding formatter.
"""
if record.levelno == DEBUG:
return self.debug_formatter.format(record)
if record.levelno == INFO:
return self.info_formatter.format(record)
if record.levelno == ... | python | def format(self, record):
"""
Format the record using the corresponding formatter.
"""
if record.levelno == DEBUG:
return self.debug_formatter.format(record)
if record.levelno == INFO:
return self.info_formatter.format(record)
if record.levelno == ... | [
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dalloriam/engel | engel/widgets/structure.py | Head.load_stylesheet | def load_stylesheet(self, id, path):
"""
Proper way to dynamically inject a stylesheet in a page.
:param path: Path of the stylesheet to inject.
"""
self.add_child(HeadLink(id=id, link_type="stylesheet", path=path)) | python | def load_stylesheet(self, id, path):
"""
Proper way to dynamically inject a stylesheet in a page.
:param path: Path of the stylesheet to inject.
"""
self.add_child(HeadLink(id=id, link_type="stylesheet", path=path)) | [
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dalloriam/engel | engel/widgets/structure.py | List.add_child | def add_child(self, widget):
"""
Append a widget to the list.
:param widget: Object inheriting :class:`~.widgets.base.BaseElement`
"""
li_itm = _li(id=self.id + str(self._count))
li_itm.add_child(widget)
super(List, self).add_child(li_itm)
self._items.ap... | python | def add_child(self, widget):
"""
Append a widget to the list.
:param widget: Object inheriting :class:`~.widgets.base.BaseElement`
"""
li_itm = _li(id=self.id + str(self._count))
li_itm.add_child(widget)
super(List, self).add_child(li_itm)
self._items.ap... | [
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dalloriam/engel | engel/widgets/structure.py | List.remove_child | def remove_child(self, widget):
"""
Remove a widget from the list.
:param widget: Object inheriting :class:`~.widgets.base.BaseElement`
"""
raw = list(filter(lambda x: x[0] == widget, self._items))
if raw:
itm, wrapped = raw[0]
self._items.remove(... | python | def remove_child(self, widget):
"""
Remove a widget from the list.
:param widget: Object inheriting :class:`~.widgets.base.BaseElement`
"""
raw = list(filter(lambda x: x[0] == widget, self._items))
if raw:
itm, wrapped = raw[0]
self._items.remove(... | [
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ArabellaTech/django-basic-cms | basic_cms/admin/views.py | move_page | def move_page(request, page_id, extra_context=None):
"""Move the page to the requested target, at the given
position."""
page = Page.objects.get(pk=page_id)
target = request.POST.get('target', None)
position = request.POST.get('position', None)
if target is not None and position is not None:
... | python | def move_page(request, page_id, extra_context=None):
"""Move the page to the requested target, at the given
position."""
page = Page.objects.get(pk=page_id)
target = request.POST.get('target', None)
position = request.POST.get('position', None)
if target is not None and position is not None:
... | [
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NoviceLive/intellicoder | intellicoder/sources.py | reloc_var | def reloc_var(var_name, reloc_delta, pointer, var_type):
"""
Build C source code to relocate a variable.
"""
template = '{0} {3}{1} = RELOC_VAR(_{1}, {2}, {0});\n'
return template.format(
var_type, var_name, reloc_delta,
'*' if pointer else ''
) | python | def reloc_var(var_name, reloc_delta, pointer, var_type):
"""
Build C source code to relocate a variable.
"""
template = '{0} {3}{1} = RELOC_VAR(_{1}, {2}, {0});\n'
return template.format(
var_type, var_name, reloc_delta,
'*' if pointer else ''
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NoviceLive/intellicoder | intellicoder/sources.py | make_c_args | def make_c_args(arg_pairs):
"""
Build a C argument list from return type and arguments pairs.
"""
logging.debug(arg_pairs)
c_args = [
'{} {}'.format(arg_type, arg_name) if arg_name else arg_type
for dummy_number, arg_type, arg_name in sorted(arg_pairs)
]
return ', '.join(c_ar... | python | def make_c_args(arg_pairs):
"""
Build a C argument list from return type and arguments pairs.
"""
logging.debug(arg_pairs)
c_args = [
'{} {}'.format(arg_type, arg_name) if arg_name else arg_type
for dummy_number, arg_type, arg_name in sorted(arg_pairs)
]
return ', '.join(c_ar... | [
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lowandrew/OLCTools | spadespipeline/phix.py | PhiX.interop_parse | def interop_parse(self):
"""
Use interop to parse the files in the InterOp folder to extract the number of reads mapping to PhiX as well as
the error rate
"""
# Parse the files and load the data
try:
run_metrics = py_interop_run_metrics.run_metrics()
... | python | def interop_parse(self):
"""
Use interop to parse the files in the InterOp folder to extract the number of reads mapping to PhiX as well as
the error rate
"""
# Parse the files and load the data
try:
run_metrics = py_interop_run_metrics.run_metrics()
... | [
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NoviceLive/intellicoder | intellicoder/msbuild/builders.py | Builder.make_inc | def make_inc(incs):
"""
Make include directory for link.exe.
"""
inc_args = [['/I', inc] for inc in incs]
return list(chain.from_iterable(inc_args)) | python | def make_inc(incs):
"""
Make include directory for link.exe.
"""
inc_args = [['/I', inc] for inc in incs]
return list(chain.from_iterable(inc_args)) | [
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