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PixelwarStudio/PyTree | Tree/core.py | https://github.com/PixelwarStudio/PyTree/blob/f14b25ea145da6b00d836e34251d2a4c823766dc/Tree/core.py#L92-L101 | def get_node_age_sum(self, age=None):
"""Get the sum of branches grown in an specific age.
Returns:
int: The sum of all nodes grown in an age.
"""
if age is None:
age = self.age
return pow(self.comp, age) | [
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evhub/coconut | coconut/command/util.py | https://github.com/evhub/coconut/blob/ff97177344e7604e89a0a98a977a87ed2a56fc6d/coconut/command/util.py#L493-L512 | def run(self, code, use_eval=None, path=None, all_errors_exit=False, store=True):
"""Execute Python code."""
if use_eval is None:
run_func = interpret
elif use_eval is True:
run_func = eval
else:
run_func = exec_func
with self.handling_errors(all_errors_exit):
if path is None:
result = run_func(code, self.vars)
else:
use_vars = self.build_vars(path)
try:
result = run_func(code, use_vars)
finally:
self.vars.update(use_vars)
if store:
self.store(code)
return result | [
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google-research/batch-ppo | agents/tools/loop.py | https://github.com/google-research/batch-ppo/blob/3d09705977bae4e7c3eb20339a3b384d2a5531e4/agents/tools/loop.py#L170-L187 | def _find_current_phase(self, global_step):
"""Determine the current phase based on the global step.
This ensures continuing the correct phase after restoring checkoints.
Args:
global_step: The global number of steps performed across all phases.
Returns:
Tuple of phase object, epoch number, and phase steps within the epoch.
"""
epoch_size = sum(phase.steps for phase in self._phases)
epoch = int(global_step // epoch_size)
steps_in = global_step % epoch_size
for phase in self._phases:
if steps_in < phase.steps:
return phase, epoch, steps_in
steps_in -= phase.steps | [
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kobejohn/PQHelper | pqhelper/easy.py | https://github.com/kobejohn/PQHelper/blob/d2b78a22dcb631794295e6a159b06f39c3f10db6/pqhelper/easy.py#L8-L56 | def versus_summaries(turns=2, sims_to_average=2, async_results_q=None):
"""Return summaries of the likely resutls of each available action..
Arguments:
- turns: how many turns to simulate.
- in 2013, 1 is fast (seconds), 2 is slow (seconds), 3 who knows
- sims_to_average: how many times to run the simulation
to get more representative average results of each action.
- async_results_q: provide a multiprocessing Queue on which
the summaries of each turn will be placed. this is an asynchronous
alternative to waiting for the final return value
"""
board, player, opponent, extra_actions = _state_investigator.get_versus()
if extra_actions: extra_actions = 1 # limit value for realistic time
if board is None:
return tuple()
averaged_summaries = list() # default return value is empty
# keep a separate advisor for each simulation to average
advisors = list()
for i in range(sims_to_average):
advisor = versus.Advisor()
advisor.reset(board, player, opponent, extra_actions)
advisors.append(advisor)
# provide async sim results per turn; final results as return value
for turn in range(turns):
# store {action: list of results from each simulation}
summaries_by_action = dict()
for i in range(sims_to_average):
advisor = advisors[i]
advisor.simulate_next_turn()
for s in advisor.sorted_current_summaries():
summaries_by_action.setdefault(s.action, list()).append(s)
# now all sims and analysis for this turn have been completed
averaged_summaries = list()
for action, summaries in summaries_by_action.items():
board = summaries[0].board # any board. they are all the same
action = summaries[0].action # any action. they are all the same
score_sum = sum(s.score for s in summaries)
score_avg = score_sum / len(summaries)
manadrain_sum = sum(s.mana_drain_leaves for s in summaries)
leaves_sum = sum(s.total_leaves for s in summaries)
avg_summary = base.Summary(board, action, score_avg,
manadrain_sum, leaves_sum)
averaged_summaries.append(avg_summary)
averaged_summaries.sort(key=lambda s: s.score, reverse=True)
# option to provide the results asynchronouslys
if not async_results_q is None:
async_results_q.put(averaged_summaries)
return averaged_summaries | [
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ellmetha/django-machina | machina/apps/forum_conversation/abstract_models.py | https://github.com/ellmetha/django-machina/blob/89ac083c1eaf1cfdeae6686ee094cc86362e8c69/machina/apps/forum_conversation/abstract_models.py#L269-L271 | def is_topic_head(self):
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return self.topic.first_post.id == self.id if self.topic.first_post else False | [
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f213/rumetr-client | rumetr/roometr.py | https://github.com/f213/rumetr-client/blob/5180152bcb2eed8246b88035db7c0bb1fe603166/rumetr/roometr.py#L61-L70 | def appt_exists(self, complex: str, house: str, appt: str) -> bool:
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Shortcut to check if appt exists in our database.
"""
try:
self.check_appt(complex, house, appt)
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SuryaSankar/flask-sqlalchemy-booster | flask_sqlalchemy_booster/custom_collections.py | https://github.com/SuryaSankar/flask-sqlalchemy-booster/blob/444048d167ab7718f758e943665ef32d101423a5/flask_sqlalchemy_booster/custom_collections.py#L36-L58 | def _convert(self, dictlike):
"""Validate and convert a dict-like object into values for set()ing.
This is called behind the scenes when a MappedCollection is replaced
entirely by another collection, as in::
myobj.mappedcollection = {'a':obj1, 'b': obj2} # ...
Raises a TypeError if the key in any (key, value) pair in the dictlike
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have assigned for that value.
"""
for incoming_key, valuelist in util.dictlike_iteritems(dictlike):
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if incoming_key != new_key:
raise TypeError(
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tensorflow/tensor2tensor | tensor2tensor/data_generators/video_utils.py | https://github.com/tensorflow/tensor2tensor/blob/272500b6efe353aeb638d2745ed56e519462ca31/tensor2tensor/data_generators/video_utils.py#L573-L630 | def generate_encoded_samples(self, data_dir, tmp_dir, dataset_split):
"""Generate samples of the encoded frames with possible extra data.
By default this function just encodes the numpy array returned as "frame"
from `self.generate_samples` into a PNG image. Override this function to
get other encodings on disk.
Args:
data_dir: final data directory. Typically only used in this method to copy
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tmp_dir: temporary directory that you can use for downloading and scratch.
dataset_split: problem.DatasetSplit, which data split to generate samples
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Yields:
Sample: dict<str feature_name, feature value> which is in disk encoding.
Raises:
ValueError: if the frame has a different number of channels than required.
"""
writer = None
with tf.Graph().as_default():
image_t = tf.placeholder(dtype=tf.uint8, shape=(None, None, None))
encoded_image_t = tf.image.encode_png(image_t)
with tf.Session() as sess:
for features in self.generate_samples(data_dir, tmp_dir, dataset_split):
unencoded_frame = features.pop("frame")
self.validate_frame(unencoded_frame)
height, width, _ = unencoded_frame.shape
encoded_frame = sess.run(
encoded_image_t, feed_dict={image_t: unencoded_frame})
features["image/encoded"] = [encoded_frame]
features["image/format"] = ["png"]
features["image/height"] = [height]
features["image/width"] = [width]
has_debug_image = "image/debug" in features
if has_debug_image:
unencoded_debug = features.pop("image/debug")
encoded_debug = sess.run(
encoded_image_t, feed_dict={image_t: unencoded_debug})
features["image/encoded_debug"] = [encoded_debug]
if self.debug_dump_frames_path:
# Defer creating debug writer until we know debug_dump_frames_path.
if writer is None:
if not tf.gfile.Exists(self.debug_dump_frames_path):
tf.gfile.MkDir(self.debug_dump_frames_path)
writer = debug_video_writer_factory(self.debug_dump_frames_path)
img = unencoded_debug if has_debug_image else unencoded_frame
encoded_img = encoded_debug if has_debug_image else encoded_frame
writer.write(img, encoded_img)
yield features
if self.debug_dump_frames_path:
writer.finish_to_disk() | [
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get other encodings on disk.
Args:
data_dir: final data directory. Typically only used in this method to copy
over user-supplied vocab files if there are extra fields needing them.
tmp_dir: temporary directory that you can use for downloading and scratch.
dataset_split: problem.DatasetSplit, which data split to generate samples
for (for example, training and evaluation).
Yields:
Sample: dict<str feature_name, feature value> which is in disk encoding.
Raises:
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SuryaSankar/flask-sqlalchemy-booster | flask_sqlalchemy_booster/model_booster/queryable_mixin.py | https://github.com/SuryaSankar/flask-sqlalchemy-booster/blob/444048d167ab7718f758e943665ef32d101423a5/flask_sqlalchemy_booster/model_booster/queryable_mixin.py#L580-L615 | def find_or_create(cls, **kwargs):
"""Checks if an instance already exists by filtering with the
kwargs. If yes, returns that instance. If not, creates a new
instance with kwargs and returns it
Args:
**kwargs: The keyword arguments which are used for filtering
and initialization.
keys(list, optional): A special keyword argument.
If passed, only the set of keys mentioned here will be used
for filtering. Useful when we want to 'find' based on a subset
of the keys and create with all the keys
Examples:
>>> customer = Customer.find_or_create(
... name="vicky", email="vicky@h.com", country="India")
>>> customer.id
45
>>> customer1 = Customer.find_or_create(
... name="vicky", email="vicky@h.com", country="India")
>>> customer1==customer
True
>>> customer2 = Customer.find_or_create(
... name="vicky", email="vicky@h.com", country="Russia")
>>> customer2==customer
False
>>> customer3 = Customer.find_or_create(
... name="vicky", email="vicky@h.com", country="Russia",
... keys=['name', 'email'])
>>> customer3==customer
True
"""
keys = kwargs.pop('keys') if 'keys' in kwargs else []
return cls.first(**subdict(kwargs, keys)) or cls.create(**kwargs) | [
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hawkular/hawkular-client-python | hawkular/alerts/triggers.py | https://github.com/hawkular/hawkular-client-python/blob/52371f9ebabbe310efee2a8ff8eb735ccc0654bb/hawkular/alerts/triggers.py#L301-L309 | def conditions(self, trigger_id):
"""
Get all conditions for a specific trigger.
:param trigger_id: Trigger definition id to be retrieved
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response = self._get(self._service_url(['triggers', trigger_id, 'conditions']))
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kiwi0fruit/sugartex | sugartex/sugartex_pandoc_filter.py | https://github.com/kiwi0fruit/sugartex/blob/9eb13703cb02d3e2163c9c5f29df280f6bf49cec/sugartex/sugartex_pandoc_filter.py#L25-L43 | def cli():
"""
Usage: sugartex [OPTIONS] [TO]
Reads from stdin and writes to stdout. Can have single argument/option only.
When no args or the arg is not from options then run Pandoc SugarTeX filter
that iterates over math blocks.
Options:
--kiwi Same as above but with kiwi flavor,
--help Show this message and exit.
"""
if len(sys.argv) > 1:
if sys.argv[1] == '--kiwi':
kiwi_hack()
elif sys.argv[1].lower() == '--help':
print(str(cli.__doc__).replace('\n ', '\n'))
return None
main() | [
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sorgerlab/indra | indra/assemblers/pysb/assembler.py | https://github.com/sorgerlab/indra/blob/79a70415832c5702d7a820c7c9ccc8e25010124b/indra/assemblers/pysb/assembler.py#L650-L694 | def set_expression(self, expression_dict):
"""Set protein expression amounts as initial conditions
Parameters
----------
expression_dict : dict
A dictionary in which the keys are gene names and the
values are numbers representing the absolute amount
(count per cell) of proteins expressed. Proteins that
are not expressed can be represented as nan. Entries
that are not in the dict or are in there but resolve
to None, are set to the default initial amount.
Example: {'EGFR': 12345, 'BRAF': 4567, 'ESR1': nan}
"""
if self.model is None:
return
monomers_found = []
monomers_notfound = []
# Iterate over all the monomers
for m in self.model.monomers:
if (m.name in expression_dict and
expression_dict[m.name] is not None):
# Try to get the expression amount from the dict
init = expression_dict[m.name]
# We interpret nan and None as not expressed
if math.isnan(init):
init = 0
init_round = round(init)
set_base_initial_condition(self.model, m, init_round)
monomers_found.append(m.name)
else:
set_base_initial_condition(self.model, m,
self.default_initial_amount)
monomers_notfound.append(m.name)
logger.info('Monomers set to given context')
logger.info('-----------------------------')
for m in monomers_found:
logger.info('%s' % m)
if monomers_notfound:
logger.info('')
logger.info('Monomers not found in given context')
logger.info('-----------------------------------')
for m in monomers_notfound:
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jim-easterbrook/pywws | src/pywws/filedata.py | https://github.com/jim-easterbrook/pywws/blob/4e4d74cee5a3ac5bf42286feaa251cd2ffcaf02c/src/pywws/filedata.py#L282-L298 | def before(self, idx):
"""Return datetime of newest existing data record whose
datetime is < idx.
Might not even be in the same year! If no such record exists,
return None."""
if not isinstance(idx, datetime):
raise TypeError("'%s' is not %s" % (idx, datetime))
day = min(idx.date(), self._hi_limit - DAY)
while day >= self._lo_limit:
if day < self._rd_cache.lo or day >= self._rd_cache.hi:
self._load(self._rd_cache, day)
self._rd_cache.set_ptr(idx)
if self._rd_cache.ptr > 0:
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day = self._rd_cache.lo - DAY
return None | [
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alorence/pysvg-py3 | pysvg/shape.py | https://github.com/alorence/pysvg-py3/blob/ce217a4da3ada44a71d3e2f391d37c67d95c724e/pysvg/shape.py#L145-L150 | def getBottomLeft(self):
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return (float(self.get_cx()) - float(self.get_r()), float(self.get_cy()) - float(self.get_r())) | [
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eddyxu/cpp-coveralls | cpp_coveralls/coverage.py | https://github.com/eddyxu/cpp-coveralls/blob/ff7af7eea2a23828f6ab2541667ea04f94344dce/cpp_coveralls/coverage.py#L101-L107 | def exclude_paths(args):
"""Returns the absolute paths for excluded path."""
results = []
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glue-viz/glue-vispy-viewers | glue_vispy_viewers/extern/vispy/visuals/visual.py | https://github.com/glue-viz/glue-vispy-viewers/blob/54a4351d98c1f90dfb1a557d1b447c1f57470eea/glue_vispy_viewers/extern/vispy/visuals/visual.py#L338-L349 | def set_gl_state(self, preset=None, **kwargs):
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Parameters
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preset : str
Preset to use.
**kwargs : dict
Keyword arguments to `gloo.set_state`.
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self._vshare.gl_state = kwargs
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AguaClara/aguaclara | aguaclara/design/sed_tank.py | https://github.com/AguaClara/aguaclara/blob/8dd4e734768b166a7fc2b60388a24df2f93783fc/aguaclara/design/sed_tank.py#L505-L524 | def n_tanks(Q_plant, sed_inputs=sed_dict):
"""Return the number of sedimentation tanks required for a given flow rate.
Parameters
----------
Q_plant : float
Total plant flow rate
sed_inputs : dict
A dictionary of all of the constant inputs needed for sedimentation tank
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Returns
-------
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Number of sedimentation tanks required for a given flow rate.
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>>>
"""
q = q_tank(sed_inputs).magnitude
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mozilla-b2g/fxos-certsuite | mcts/certsuite/cert.py | https://github.com/mozilla-b2g/fxos-certsuite/blob/152a76c7c4c9d908524cf6e6fc25a498058f363d/mcts/certsuite/cert.py#L572-L590 | def set_permission(permission, value, app):
"""Set a permission for the specified app
Value should be 'deny' or 'allow'
"""
# The object created to wrap PermissionSettingsModule is to work around
# an intermittent bug where it will sometimes be undefined.
script = """
const {classes: Cc, interfaces: Ci, utils: Cu, results: Cr} = Components;
var a = {b: Cu.import("resource://gre/modules/PermissionSettings.jsm")};
return a.b.PermissionSettingsModule.addPermission({
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origin: '%s',
manifestURL: '%s/manifest.webapp',
value: '%s',
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"""
app_url = 'app://' + app
run_marionette_script(script % (permission, app_url, app_url, value), True) | [
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saltstack/salt | salt/modules/win_groupadd.py | https://github.com/saltstack/salt/blob/e8541fd6e744ab0df786c0f76102e41631f45d46/salt/modules/win_groupadd.py#L203-L238 | def getent(refresh=False):
'''
Return info on all groups
Args:
refresh (bool):
Refresh the info for all groups in ``__context__``. If False only
the groups in ``__context__`` will be returned. If True the
``__context__`` will be refreshed with current data and returned.
Default is False
Returns:
A list of groups and their information
CLI Example:
.. code-block:: bash
salt '*' group.getent
'''
if 'group.getent' in __context__ and not refresh:
return __context__['group.getent']
ret = []
results = _get_all_groups()
for result in results:
group = {'gid': __salt__['file.group_to_gid'](result.Name),
'members': [_get_username(x) for x in result.members()],
'name': result.Name,
'passwd': 'x'}
ret.append(group)
__context__['group.getent'] = ret
return ret | [
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.. code-block:: bash
salt '*' group.getent | [
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tarbell-project/tarbell | tarbell/cli.py | https://github.com/tarbell-project/tarbell/blob/818b3d3623dcda5a08a5bf45550219719b0f0365/tarbell/cli.py#L448-L465 | def tarbell_switch(command, args):
"""
Switch to a project.
"""
with ensure_settings(command, args) as settings:
projects_path = settings.config.get("projects_path")
if not projects_path:
show_error("{0} does not exist".format(projects_path))
sys.exit()
project = args.get(0)
args.remove(project)
project_path = os.path.join(projects_path, project)
if os.path.isdir(project_path):
os.chdir(project_path)
puts("\nSwitching to {0}".format(colored.red(project)))
tarbell_serve(command, args)
else:
show_error("{0} isn't a tarbell project".format(project_path)) | [
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nwilming/ocupy | ocupy/fixmat.py | https://github.com/nwilming/ocupy/blob/a0bd64f822576feaa502939d6bafd1183b237d16/ocupy/fixmat.py#L283-L325 | def FixmatFactory(fixmatfile, categories = None, var_name = 'fixmat', field_name='x'):
"""
Loads a single fixmat (fixmatfile).
Parameters:
fixmatfile : string
The matlab fixmat that should be loaded.
categories : instance of stimuli.Categories, optional
Links data in categories to data in fixmat.
"""
try:
data = loadmat(fixmatfile, struct_as_record = False)
keys = list(data.keys())
data = data[var_name][0][0]
except KeyError:
raise RuntimeError('%s is not a field of the matlab structure. Possible'+
'Keys are %s'%str(keys))
num_fix = data.__getattribute__(field_name).size
# Get a list with fieldnames and a list with parameters
fields = {}
parameters = {}
for field in data._fieldnames:
if data.__getattribute__(field).size == num_fix:
fields[field] = data.__getattribute__(field)
else:
parameters[field] = data.__getattribute__(field)[0].tolist()
if len(parameters[field]) == 1:
parameters[field] = parameters[field][0]
# Generate FixMat
fixmat = FixMat(categories = categories)
fixmat._fields = list(fields.keys())
for (field, value) in list(fields.items()):
fixmat.__dict__[field] = value.reshape(-1,)
fixmat._parameters = parameters
fixmat._subjects = None
for (field, value) in list(parameters.items()):
fixmat.__dict__[field] = value
fixmat._num_fix = num_fix
return fixmat | [
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jessevdk/cldoc | cldoc/clang/cindex.py | https://github.com/jessevdk/cldoc/blob/fc7f59405c4a891b8367c80a700f5aa3c5c9230c/cldoc/clang/cindex.py#L1528-L1533 | def spelling(self):
"""Return the spelling of the entity pointed at by the cursor."""
if not hasattr(self, '_spelling'):
self._spelling = conf.lib.clang_getCursorSpelling(self)
return self._spelling | [
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shoebot/shoebot | shoebot/gui/gtk_drawingarea.py | https://github.com/shoebot/shoebot/blob/d554c1765c1899fa25727c9fc6805d221585562b/shoebot/gui/gtk_drawingarea.py#L78-L98 | def scale_context_and_center(self, cr):
"""
Scale context based on difference between bot size and widget
"""
bot_width, bot_height = self.bot_size
if self.width != bot_width or self.height != bot_height:
# Scale up by largest dimension
if self.width < self.height:
scale_x = float(self.width) / float(bot_width)
scale_y = scale_x
cr.translate(0, (self.height - (bot_height * scale_y)) / 2.0)
elif self.width > self.height:
scale_y = float(self.height) / float(bot_height)
scale_x = scale_y
cr.translate((self.width - (bot_width * scale_x)) / 2.0, 0)
else:
scale_x = 1.0
scale_y = 1.0
cr.scale(scale_x, scale_y)
self.input_device.scale_x = scale_y
self.input_device.scale_y = scale_y | [
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pallets/werkzeug | src/werkzeug/filesystem.py | https://github.com/pallets/werkzeug/blob/a220671d66755a94630a212378754bb432811158/src/werkzeug/filesystem.py#L42-L64 | def get_filesystem_encoding():
"""Returns the filesystem encoding that should be used. Note that this is
different from the Python understanding of the filesystem encoding which
might be deeply flawed. Do not use this value against Python's unicode APIs
because it might be different. See :ref:`filesystem-encoding` for the exact
behavior.
The concept of a filesystem encoding in generally is not something you
should rely on. As such if you ever need to use this function except for
writing wrapper code reconsider.
"""
global _warned_about_filesystem_encoding
rv = sys.getfilesystemencoding()
if has_likely_buggy_unicode_filesystem and not rv or _is_ascii_encoding(rv):
if not _warned_about_filesystem_encoding:
warnings.warn(
"Detected a misconfigured UNIX filesystem: Will use"
" UTF-8 as filesystem encoding instead of {0!r}".format(rv),
BrokenFilesystemWarning,
)
_warned_about_filesystem_encoding = True
return "utf-8"
return rv | [
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PmagPy/PmagPy | pmagpy/pmag.py | https://github.com/PmagPy/PmagPy/blob/c7984f8809bf40fe112e53dcc311a33293b62d0b/pmagpy/pmag.py#L5222-L5242 | def vfunc(pars_1, pars_2):
"""
Calculate the Watson Vw test statistic. Calculated as 2*(Sw-Rw)
Parameters
----------
pars_1 : dictionary of Fisher statistics from population 1
pars_2 : dictionary of Fisher statistics from population 2
Returns
-------
Vw : Watson's Vw statistic
"""
cart_1 = dir2cart([pars_1["dec"], pars_1["inc"], pars_1["r"]])
cart_2 = dir2cart([pars_2['dec'], pars_2['inc'], pars_2["r"]])
Sw = pars_1['k'] * pars_1['r'] + pars_2['k'] * pars_2['r'] # k1*r1+k2*r2
xhat_1 = pars_1['k'] * cart_1[0] + pars_2['k'] * cart_2[0] # k1*x1+k2*x2
xhat_2 = pars_1['k'] * cart_1[1] + pars_2['k'] * cart_2[1] # k1*y1+k2*y2
xhat_3 = pars_1['k'] * cart_1[2] + pars_2['k'] * cart_2[2] # k1*z1+k2*z2
Rw = np.sqrt(xhat_1**2 + xhat_2**2 + xhat_3**2)
return 2 * (Sw - Rw) | [
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"return",
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"(",
"Sw",
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] | Calculate the Watson Vw test statistic. Calculated as 2*(Sw-Rw)
Parameters
----------
pars_1 : dictionary of Fisher statistics from population 1
pars_2 : dictionary of Fisher statistics from population 2
Returns
-------
Vw : Watson's Vw statistic | [
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] | python | train |
tensorflow/tensor2tensor | tensor2tensor/trax/layers/attention.py | https://github.com/tensorflow/tensor2tensor/blob/272500b6efe353aeb638d2745ed56e519462ca31/tensor2tensor/trax/layers/attention.py#L97-L111 | def _positional_encoding_new_params(input_shape, rng, max_len=2048): # pylint: disable=invalid-name
"""Helper: create positional encoding parameters."""
del rng
# Check if we are operating on chunked inputs by checking if the first
# shape is a list/tuple of shapes (otherwise it's an int or numpy array).
is_chunked = isinstance(input_shape[0], (list, tuple))
feature_depth = input_shape[0][-1] if is_chunked else input_shape[-1]
pe = onp.zeros((max_len, feature_depth), dtype=onp.float32)
position = onp.arange(0, max_len)[:, onp.newaxis]
div_term = onp.exp(
onp.arange(0, feature_depth, 2) * -(onp.log(10000.0) / feature_depth))
pe[:, 0::2] = onp.sin(position * div_term)
pe[:, 1::2] = onp.cos(position * div_term)
pe = pe[onp.newaxis, :, :] # [1, max_len, feature_depth]
return np.array(pe) | [
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scott-maddox/openbandparams | src/openbandparams/iii_v_zinc_blende_alloy.py | https://github.com/scott-maddox/openbandparams/blob/bc24e59187326bcb8948117434536082c9055777/src/openbandparams/iii_v_zinc_blende_alloy.py#L132-L141 | def F(self, **kwargs):
'''
Returns the Kane remote-band parameter, `F`, calculated from
`Eg_Gamma_0`, `Delta_SO`, `Ep`, and `meff_e_Gamma_0`.
'''
Eg = self.Eg_Gamma_0(**kwargs)
Delta_SO = self.Delta_SO(**kwargs)
Ep = self.Ep(**kwargs)
meff = self.meff_e_Gamma_0(**kwargs)
return (1./meff-1-(Ep*(Eg+2.*Delta_SO/3.))/(Eg*(Eg+Delta_SO)))/2 | [
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PyCQA/pylint | pylint/utils/file_state.py | https://github.com/PyCQA/pylint/blob/2bf5c61a3ff6ae90613b81679de42c0f19aea600/pylint/utils/file_state.py#L103-L117 | def handle_ignored_message(
self, state_scope, msgid, line, node, args, confidence
): # pylint: disable=unused-argument
"""Report an ignored message.
state_scope is either MSG_STATE_SCOPE_MODULE or MSG_STATE_SCOPE_CONFIG,
depending on whether the message was disabled locally in the module,
or globally. The other arguments are the same as for add_message.
"""
if state_scope == MSG_STATE_SCOPE_MODULE:
try:
orig_line = self._suppression_mapping[(msgid, line)]
self._ignored_msgs[(msgid, orig_line)].add(line)
except KeyError:
pass | [
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or globally. The other arguments are the same as for add_message. | [
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allenai/allennlp | allennlp/common/util.py | https://github.com/allenai/allennlp/blob/648a36f77db7e45784c047176074f98534c76636/allennlp/common/util.py#L272-L306 | def get_spacy_model(spacy_model_name: str, pos_tags: bool, parse: bool, ner: bool) -> SpacyModelType:
"""
In order to avoid loading spacy models a whole bunch of times, we'll save references to them,
keyed by the options we used to create the spacy model, so any particular configuration only
gets loaded once.
"""
options = (spacy_model_name, pos_tags, parse, ner)
if options not in LOADED_SPACY_MODELS:
disable = ['vectors', 'textcat']
if not pos_tags:
disable.append('tagger')
if not parse:
disable.append('parser')
if not ner:
disable.append('ner')
try:
spacy_model = spacy.load(spacy_model_name, disable=disable)
except OSError:
logger.warning(f"Spacy models '{spacy_model_name}' not found. Downloading and installing.")
spacy_download(spacy_model_name)
# NOTE(mattg): The following four lines are a workaround suggested by Ines for spacy
# 2.1.0, which removed the linking that was done in spacy 2.0. importlib doesn't find
# packages that were installed in the same python session, so the way `spacy_download`
# works in 2.1.0 is broken for this use case. These four lines can probably be removed
# at some point in the future, once spacy has figured out a better way to handle this.
# See https://github.com/explosion/spaCy/issues/3435.
from spacy.cli import link
from spacy.util import get_package_path
package_path = get_package_path(spacy_model_name)
link(spacy_model_name, spacy_model_name, model_path=package_path)
spacy_model = spacy.load(spacy_model_name, disable=disable)
LOADED_SPACY_MODELS[options] = spacy_model
return LOADED_SPACY_MODELS[options] | [
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wolverdude/GenSON | genson/schema/node.py | https://github.com/wolverdude/GenSON/blob/76552d23cf9202e8e7c262cb018eb3cb3df686b9/genson/schema/node.py#L18-L37 | def add_schema(self, schema):
"""
Merges in an existing schema.
arguments:
* `schema` (required - `dict` or `SchemaNode`):
an existing JSON Schema to merge.
"""
# serialize instances of SchemaNode before parsing
if isinstance(schema, SchemaNode):
schema = schema.to_schema()
for subschema in self._get_subschemas(schema):
# delegate to SchemaType object
schema_generator = self._get_generator_for_schema(subschema)
schema_generator.add_schema(subschema)
# return self for easy method chaining
return self | [
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ArduPilot/MAVProxy | MAVProxy/modules/mavproxy_console.py | https://github.com/ArduPilot/MAVProxy/blob/f50bdeff33064876f7dc8dc4683d278ff47f75d5/MAVProxy/modules/mavproxy_console.py#L191-L516 | def mavlink_packet(self, msg):
'''handle an incoming mavlink packet'''
if not isinstance(self.console, wxconsole.MessageConsole):
return
if not self.console.is_alive():
self.mpstate.console = textconsole.SimpleConsole()
return
type = msg.get_type()
if type == 'HEARTBEAT':
sysid = msg.get_srcSystem()
if not sysid in self.vehicle_list:
self.add_new_vehicle(msg)
if sysid not in self.component_name:
self.component_name[sysid] = {}
compid = msg.get_srcComponent()
if compid not in self.component_name[sysid]:
self.component_name[sysid][compid] = self.component_type_string(msg)
self.update_vehicle_menu()
if self.last_param_sysid_timestamp != self.module('param').new_sysid_timestamp:
'''a new component ID has appeared for parameters'''
self.last_param_sysid_timestamp = self.module('param').new_sysid_timestamp
self.update_vehicle_menu()
if type in ['RADIO', 'RADIO_STATUS']:
# handle RADIO msgs from all vehicles
if msg.rssi < msg.noise+10 or msg.remrssi < msg.remnoise+10:
fg = 'red'
else:
fg = 'black'
self.console.set_status('Radio', 'Radio %u/%u %u/%u' % (msg.rssi, msg.noise, msg.remrssi, msg.remnoise), fg=fg)
if not self.is_primary_vehicle(msg):
# don't process msgs from other than primary vehicle, other than
# updating vehicle list
return
master = self.master
# add some status fields
if type in [ 'GPS_RAW', 'GPS_RAW_INT' ]:
if type == "GPS_RAW":
num_sats1 = master.field('GPS_STATUS', 'satellites_visible', 0)
else:
num_sats1 = msg.satellites_visible
num_sats2 = master.field('GPS2_RAW', 'satellites_visible', -1)
if num_sats2 == -1:
sats_string = "%u" % num_sats1
else:
sats_string = "%u/%u" % (num_sats1, num_sats2)
if ((msg.fix_type >= 3 and master.mavlink10()) or
(msg.fix_type == 2 and not master.mavlink10())):
if (msg.fix_type >= 4):
fix_type = "%u" % msg.fix_type
else:
fix_type = ""
self.console.set_status('GPS', 'GPS: OK%s (%s)' % (fix_type, sats_string), fg='green')
else:
self.console.set_status('GPS', 'GPS: %u (%s)' % (msg.fix_type, sats_string), fg='red')
if master.mavlink10():
gps_heading = int(self.mpstate.status.msgs['GPS_RAW_INT'].cog * 0.01)
else:
gps_heading = self.mpstate.status.msgs['GPS_RAW'].hdg
self.console.set_status('Heading', 'Hdg %s/%u' % (master.field('VFR_HUD', 'heading', '-'), gps_heading))
elif type == 'VFR_HUD':
if master.mavlink10():
alt = master.field('GPS_RAW_INT', 'alt', 0) / 1.0e3
else:
alt = master.field('GPS_RAW', 'alt', 0)
home = self.module('wp').get_home()
if home is not None:
home_lat = home.x
home_lng = home.y
else:
home_lat = None
home_lng = None
lat = master.field('GLOBAL_POSITION_INT', 'lat', 0) * 1.0e-7
lng = master.field('GLOBAL_POSITION_INT', 'lon', 0) * 1.0e-7
rel_alt = master.field('GLOBAL_POSITION_INT', 'relative_alt', 0) * 1.0e-3
agl_alt = None
if self.settings.basealt != 0:
agl_alt = self.console.ElevationMap.GetElevation(lat, lng)
if agl_alt is not None:
agl_alt = self.settings.basealt - agl_alt
else:
try:
agl_alt_home = self.console.ElevationMap.GetElevation(home_lat, home_lng)
except Exception as ex:
print(ex)
agl_alt_home = None
if agl_alt_home is not None:
agl_alt = self.console.ElevationMap.GetElevation(lat, lng)
if agl_alt is not None:
agl_alt = agl_alt_home - agl_alt
if agl_alt is not None:
agl_alt += rel_alt
vehicle_agl = master.field('TERRAIN_REPORT', 'current_height', None)
if vehicle_agl is None:
vehicle_agl = '---'
else:
vehicle_agl = self.height_string(vehicle_agl)
self.console.set_status('AGL', 'AGL %s/%s' % (self.height_string(agl_alt), vehicle_agl))
self.console.set_status('Alt', 'Alt %s' % self.height_string(rel_alt))
self.console.set_status('AirSpeed', 'AirSpeed %s' % self.speed_string(msg.airspeed))
self.console.set_status('GPSSpeed', 'GPSSpeed %s' % self.speed_string(msg.groundspeed))
self.console.set_status('Thr', 'Thr %u' % msg.throttle)
t = time.localtime(msg._timestamp)
flying = False
if self.mpstate.vehicle_type == 'copter':
flying = self.master.motors_armed()
else:
flying = msg.groundspeed > 3
if flying and not self.in_air:
self.in_air = True
self.start_time = time.mktime(t)
elif flying and self.in_air:
self.total_time = time.mktime(t) - self.start_time
self.console.set_status('FlightTime', 'FlightTime %u:%02u' % (int(self.total_time)/60, int(self.total_time)%60))
elif not flying and self.in_air:
self.in_air = False
self.total_time = time.mktime(t) - self.start_time
self.console.set_status('FlightTime', 'FlightTime %u:%02u' % (int(self.total_time)/60, int(self.total_time)%60))
elif type == 'ATTITUDE':
self.console.set_status('Roll', 'Roll %u' % math.degrees(msg.roll))
self.console.set_status('Pitch', 'Pitch %u' % math.degrees(msg.pitch))
elif type in ['SYS_STATUS']:
sensors = { 'AS' : mavutil.mavlink.MAV_SYS_STATUS_SENSOR_DIFFERENTIAL_PRESSURE,
'MAG' : mavutil.mavlink.MAV_SYS_STATUS_SENSOR_3D_MAG,
'INS' : mavutil.mavlink.MAV_SYS_STATUS_SENSOR_3D_ACCEL | mavutil.mavlink.MAV_SYS_STATUS_SENSOR_3D_GYRO,
'AHRS' : mavutil.mavlink.MAV_SYS_STATUS_AHRS,
'RC' : mavutil.mavlink.MAV_SYS_STATUS_SENSOR_RC_RECEIVER,
'TERR' : mavutil.mavlink.MAV_SYS_STATUS_TERRAIN,
'RNG' : mavutil.mavlink.MAV_SYS_STATUS_SENSOR_LASER_POSITION,
'LOG' : mavutil.mavlink.MAV_SYS_STATUS_LOGGING,
}
announce = [ 'RC' ]
for s in sensors.keys():
bits = sensors[s]
present = ((msg.onboard_control_sensors_present & bits) == bits)
enabled = ((msg.onboard_control_sensors_enabled & bits) == bits)
healthy = ((msg.onboard_control_sensors_health & bits) == bits)
if not present:
fg = 'black'
elif not enabled:
fg = 'grey'
elif not healthy:
fg = 'red'
else:
fg = 'green'
# for terrain show yellow if still loading
if s == 'TERR' and fg == 'green' and master.field('TERRAIN_REPORT', 'pending', 0) != 0:
fg = 'yellow'
self.console.set_status(s, s, fg=fg)
for s in announce:
bits = sensors[s]
enabled = ((msg.onboard_control_sensors_enabled & bits) == bits)
healthy = ((msg.onboard_control_sensors_health & bits) == bits)
was_healthy = ((self.last_sys_status_health & bits) == bits)
if enabled and not healthy and was_healthy:
self.say("%s fail" % s)
self.last_sys_status_health = msg.onboard_control_sensors_health
# check for any error bits being set:
now = time.time()
if now - self.last_sys_status_errors_announce > self.mpstate.settings.sys_status_error_warn_interval:
for field_num in range(1, 5):
field = "errors_count%u" % field_num
x = getattr(msg, field, None)
if x is None:
self.console.writeln("Failed to get field %s" % field)
self.last_sys_status_errors_announce = now
break
if x != 0:
self.last_sys_status_errors_announce = now
self.say("Critical failure")
break
elif type == 'WIND':
self.console.set_status('Wind', 'Wind %u/%.2f' % (msg.direction, msg.speed))
elif type == 'EKF_STATUS_REPORT':
highest = 0.0
vars = ['velocity_variance',
'pos_horiz_variance',
'pos_vert_variance',
'compass_variance',
'terrain_alt_variance']
for var in vars:
v = getattr(msg, var, 0)
highest = max(v, highest)
if highest >= 1.0:
fg = 'red'
elif highest >= 0.5:
fg = 'orange'
else:
fg = 'green'
self.console.set_status('EKF', 'EKF', fg=fg)
elif type == 'HWSTATUS':
if msg.Vcc >= 4600 and msg.Vcc <= 5300:
fg = 'green'
else:
fg = 'red'
self.console.set_status('Vcc', 'Vcc %.2f' % (msg.Vcc * 0.001), fg=fg)
elif type == 'POWER_STATUS':
if msg.flags & mavutil.mavlink.MAV_POWER_STATUS_CHANGED:
fg = 'red'
else:
fg = 'green'
status = 'PWR:'
if msg.flags & mavutil.mavlink.MAV_POWER_STATUS_USB_CONNECTED:
status += 'U'
if msg.flags & mavutil.mavlink.MAV_POWER_STATUS_BRICK_VALID:
status += 'B'
if msg.flags & mavutil.mavlink.MAV_POWER_STATUS_SERVO_VALID:
status += 'S'
if msg.flags & mavutil.mavlink.MAV_POWER_STATUS_PERIPH_OVERCURRENT:
status += 'O1'
if msg.flags & mavutil.mavlink.MAV_POWER_STATUS_PERIPH_HIPOWER_OVERCURRENT:
status += 'O2'
self.console.set_status('PWR', status, fg=fg)
self.console.set_status('Srv', 'Srv %.2f' % (msg.Vservo*0.001), fg='green')
elif type == 'HEARTBEAT':
fmode = master.flightmode
if self.settings.vehicle_name:
fmode = self.settings.vehicle_name + ':' + fmode
self.console.set_status('Mode', '%s' % fmode, fg='blue')
if len(self.vehicle_list) > 1:
self.console.set_status('SysID', 'Sys:%u' % msg.get_srcSystem(), fg='blue')
if self.master.motors_armed():
arm_colour = 'green'
else:
arm_colour = 'red'
armstring = 'ARM'
# add safety switch state
if 'SYS_STATUS' in self.mpstate.status.msgs:
if (self.mpstate.status.msgs['SYS_STATUS'].onboard_control_sensors_enabled & mavutil.mavlink.MAV_SYS_STATUS_SENSOR_MOTOR_OUTPUTS) == 0:
armstring += '(SAFE)'
self.console.set_status('ARM', armstring, fg=arm_colour)
if self.max_link_num != len(self.mpstate.mav_master):
for i in range(self.max_link_num):
self.console.set_status('Link%u'%(i+1), '', row=1)
self.max_link_num = len(self.mpstate.mav_master)
for m in self.mpstate.mav_master:
if self.mpstate.settings.checkdelay:
linkdelay = (self.mpstate.status.highest_msec - m.highest_msec)*1.0e-3
else:
linkdelay = 0
linkline = "Link %s " % (self.link_label(m))
fg = 'dark green'
if m.linkerror:
linkline += "down"
fg = 'red'
else:
packets_rcvd_percentage = 100
if (m.mav_count+m.mav_loss) != 0: #avoid divide-by-zero
packets_rcvd_percentage = (100.0 * m.mav_count) / (m.mav_count + m.mav_loss)
linkbits = ["%u pkts" % m.mav_count,
"%u lost" % m.mav_loss,
"%.2fs delay" % linkdelay,
]
try:
if m.mav.signing.sig_count:
# other end is sending us signed packets
if not m.mav.signing.secret_key:
# we've received signed packets but
# can't verify them
fg = 'orange'
linkbits.append("!KEY")
elif not m.mav.signing.sign_outgoing:
# we've received signed packets but aren't
# signing outselves; this can lead to hairloss
fg = 'orange'
linkbits.append("!SIGNING")
if m.mav.signing.badsig_count:
fg = 'orange'
linkbits.append("%u badsigs" % m.mav.signing.badsig_count)
except AttributeError as e:
# mav.signing.sig_count probably doesn't exist
pass
linkline += "OK {rcv_pct:.1f}% ({bits})".format(
rcv_pct=packets_rcvd_percentage,
bits=", ".join(linkbits))
if linkdelay > 1 and fg == 'dark green':
fg = 'orange'
self.console.set_status('Link%u'%m.linknum, linkline, row=1, fg=fg)
elif type in ['WAYPOINT_CURRENT', 'MISSION_CURRENT']:
wpmax = self.module('wp').wploader.count()
if wpmax > 0:
wpmax = "/%u" % wpmax
else:
wpmax = ""
self.console.set_status('WP', 'WP %u%s' % (msg.seq, wpmax))
lat = master.field('GLOBAL_POSITION_INT', 'lat', 0) * 1.0e-7
lng = master.field('GLOBAL_POSITION_INT', 'lon', 0) * 1.0e-7
if lat != 0 and lng != 0:
airspeed = master.field('VFR_HUD', 'airspeed', 30)
if abs(airspeed - self.speed) > 5:
self.speed = airspeed
else:
self.speed = 0.98*self.speed + 0.02*airspeed
self.speed = max(1, self.speed)
time_remaining = int(self.estimated_time_remaining(lat, lng, msg.seq, self.speed))
self.console.set_status('ETR', 'ETR %u:%02u' % (time_remaining/60, time_remaining%60))
elif type == 'NAV_CONTROLLER_OUTPUT':
self.console.set_status('WPDist', 'Distance %s' % self.dist_string(msg.wp_dist))
self.console.set_status('WPBearing', 'Bearing %u' % msg.target_bearing)
if msg.alt_error > 0:
alt_error_sign = "L"
else:
alt_error_sign = "H"
if msg.aspd_error > 0:
aspd_error_sign = "L"
else:
aspd_error_sign = "H"
if math.isnan(msg.alt_error):
alt_error = "NaN"
else:
alt_error = "%d%s" % (msg.alt_error, alt_error_sign)
self.console.set_status('AltError', 'AltError %s' % alt_error)
self.console.set_status('AspdError', 'AspdError %.1f%s' % (msg.aspd_error*0.01, aspd_error_sign)) | [
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] | handle an incoming mavlink packet | [
"handle",
"an",
"incoming",
"mavlink",
"packet"
] | python | train |
LonamiWebs/Telethon | telethon/extensions/markdown.py | https://github.com/LonamiWebs/Telethon/blob/1ead9757d366b58c1e0567cddb0196e20f1a445f/telethon/extensions/markdown.py#L132-L200 | def unparse(text, entities, delimiters=None, url_fmt=None):
"""
Performs the reverse operation to .parse(), effectively returning
markdown-like syntax given a normal text and its MessageEntity's.
:param text: the text to be reconverted into markdown.
:param entities: the MessageEntity's applied to the text.
:return: a markdown-like text representing the combination of both inputs.
"""
if not text or not entities:
return text
if not delimiters:
if delimiters is not None:
return text
delimiters = DEFAULT_DELIMITERS
if url_fmt is None:
url_fmt = DEFAULT_URL_FORMAT
if isinstance(entities, TLObject):
entities = (entities,)
else:
entities = tuple(sorted(entities, key=lambda e: e.offset, reverse=True))
text = add_surrogate(text)
delimiters = {v: k for k, v in delimiters.items()}
for entity in entities:
s = entity.offset
e = entity.offset + entity.length
delimiter = delimiters.get(type(entity), None)
if delimiter:
text = text[:s] + delimiter + text[s:e] + delimiter + text[e:]
elif url_fmt:
url = None
if isinstance(entity, MessageEntityTextUrl):
url = entity.url
elif isinstance(entity, MessageEntityMentionName):
url = 'tg://user?id={}'.format(entity.user_id)
if url:
# It's possible that entities are malformed and end up in the
# middle of some character, like emoji, by using malformed
# clients or bots. Try decoding the current one to check if
# this is the case, and if it is, advance the entity.
while e <= len(text):
try:
del_surrogate(text[s:e])
break
except UnicodeDecodeError:
e += 1
else:
# Out of bounds, no luck going forward
while e > s:
try:
del_surrogate(text[s:e])
break
except UnicodeDecodeError:
e -= 1
else:
# No luck going backwards either, ignore entity
continue
text = (
text[:s] +
add_surrogate(url_fmt.format(text[s:e], url)) +
text[e:]
)
return del_surrogate(text) | [
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genialis/resolwe | resolwe/flow/migrations/0006_add_total_size.py | https://github.com/genialis/resolwe/blob/f7bb54932c81ec0cfc5b5e80d238fceaeaa48d86/resolwe/flow/migrations/0006_add_total_size.py#L11-L16 | def calculate_total_size(apps, schema_editor):
"""Add ``total_size`` field to all file/dir-type outputs."""
Data = apps.get_model('flow', 'Data')
for data in Data.objects.all():
hydrate_size(data, force=True)
data.save() | [
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projectatomic/osbs-client | osbs/utils.py | https://github.com/projectatomic/osbs-client/blob/571fe035dab3a7c02e1dccd5d65ffd75be750458/osbs/utils.py#L270-L314 | def reset_git_repo(target_dir, git_reference, retry_depth=None):
"""
hard reset git clone in target_dir to given git_reference
:param target_dir: str, filesystem path where the repo is cloned
:param git_reference: str, any valid git reference
:param retry_depth: int, if the repo was cloned with --shallow, this is the expected
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:return: str and int, commit ID of HEAD and commit depth of git_reference
"""
deepen = retry_depth or 0
base_commit_depth = 0
for _ in range(GIT_FETCH_RETRY):
try:
if not deepen:
cmd = ['git', 'rev-list', '--count', git_reference]
base_commit_depth = int(subprocess.check_output(cmd, cwd=target_dir)) - 1
cmd = ["git", "reset", "--hard", git_reference]
logger.debug("Resetting current HEAD: '%s'", cmd)
subprocess.check_call(cmd, cwd=target_dir)
break
except subprocess.CalledProcessError:
if not deepen:
raise OsbsException('cannot find commit %s in repo %s' %
(git_reference, target_dir))
deepen *= 2
cmd = ["git", "fetch", "--depth", str(deepen)]
subprocess.check_call(cmd, cwd=target_dir)
logger.debug("Couldn't find commit %s, increasing depth with '%s'", git_reference,
cmd)
else:
raise OsbsException('cannot find commit %s in repo %s' % (git_reference, target_dir))
cmd = ["git", "rev-parse", "HEAD"]
logger.debug("getting SHA-1 of provided ref '%s'", git_reference)
commit_id = subprocess.check_output(cmd, cwd=target_dir, universal_newlines=True)
commit_id = commit_id.strip()
logger.info("commit ID = %s", commit_id)
final_commit_depth = None
if not deepen:
cmd = ['git', 'rev-list', '--count', 'HEAD']
final_commit_depth = int(subprocess.check_output(cmd, cwd=target_dir)) - base_commit_depth
return commit_id, final_commit_depth | [
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gopalkoduri/pypeaks | pypeaks/intervals.py | https://github.com/gopalkoduri/pypeaks/blob/59b1e4153e80c6a4c523dda241cc1713fd66161e/pypeaks/intervals.py#L23-L32 | def next_interval(self, interval):
"""
Given a value of an interval, this function returns the
next interval value
"""
index = np.where(self.intervals == interval)
if index[0][0] + 1 < len(self.intervals):
return self.intervals[index[0][0] + 1]
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AkihikoITOH/capybara | capybara/virtualenv/lib/python2.7/site-packages/setuptools/command/egg_info.py | https://github.com/AkihikoITOH/capybara/blob/e86c2173ea386654f4ae061148e8fbe3f25e715c/capybara/virtualenv/lib/python2.7/site-packages/setuptools/command/egg_info.py#L332-L354 | def _add_egg_info(self, cmd):
"""
Add paths for egg-info files for an external egg-base.
The egg-info files are written to egg-base. If egg-base is
outside the current working directory, this method
searchs the egg-base directory for files to include
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"""
if cmd.egg_base == os.curdir:
# egg-info files were already added by something else
return
discovered = distutils.filelist.findall(cmd.egg_base)
resolved = (os.path.join(cmd.egg_base, path) for path in discovered)
self.filelist.allfiles.extend(resolved) | [
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saltstack/salt | salt/modules/redismod.py | https://github.com/saltstack/salt/blob/e8541fd6e744ab0df786c0f76102e41631f45d46/salt/modules/redismod.py#L382-L399 | def hmset(key, **fieldsvals):
'''
Sets multiple hash fields to multiple values.
.. versionadded:: 2017.7.0
CLI Example:
.. code-block:: bash
salt '*' redis.hmset foo_hash bar_field1=bar_value1 bar_field2=bar_value2
'''
host = fieldsvals.pop('host', None)
port = fieldsvals.pop('port', None)
database = fieldsvals.pop('db', None)
password = fieldsvals.pop('password', None)
server = _connect(host, port, database, password)
return server.hmset(key, salt.utils.args.clean_kwargs(**fieldsvals)) | [
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kaniblu/pytorch-text-utils | torchtextutils/vocab.py | https://github.com/kaniblu/pytorch-text-utils/blob/ab26b88b3e1ed8e777abf32dbfab900399e0cf08/torchtextutils/vocab.py#L54-L65 | def reconstruct_indices(self):
"""
Reconstruct word indices in case of word removals.
Vocabulary does not handle empty indices when words are removed,
hence it need to be told explicity about when to reconstruct them.
"""
del self.i2f, self.f2i
self.f2i, self.i2f = {}, {}
for i, w in enumerate(self.words):
self.f2i[w] = i
self.i2f[i] = w | [
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airspeed-velocity/asv | asv/extern/asizeof.py | https://github.com/airspeed-velocity/asv/blob/d23bb8b74e8adacbfa3cf5724bda55fb39d56ba6/asv/extern/asizeof.py#L529-L540 | def _repr(obj, clip=80):
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'''
try: # safe repr()
r = repr(obj)
except TypeError:
r = 'N/A'
if 0 < clip < len(r):
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awslabs/sockeye | sockeye/encoder.py | https://github.com/awslabs/sockeye/blob/5d64a1ee1ef3cbba17c6d1d94bc061020c43f6ab/sockeye/encoder.py#L197-L220 | def get_transformer_encoder(config: transformer.TransformerConfig, prefix: str) -> 'Encoder':
"""
Returns a Transformer encoder, consisting of an embedding layer with
positional encodings and a TransformerEncoder instance.
:param config: Configuration for transformer encoder.
:param prefix: Prefix for variable names.
:return: Encoder instance.
"""
encoder_seq = EncoderSequence([], dtype=config.dtype)
cls, encoder_params = _get_positional_embedding_params(config.positional_embedding_type,
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fixed_pos_embed_scale_up_input=True,
fixed_pos_embed_scale_down_positions=False,
prefix=prefix + C.SOURCE_POSITIONAL_EMBEDDING_PREFIX)
encoder_seq.append(cls, **encoder_params)
if config.conv_config is not None:
encoder_seq.append(ConvolutionalEmbeddingEncoder, config=config.conv_config,
prefix=prefix + C.CHAR_SEQ_ENCODER_PREFIX)
encoder_seq.append(TransformerEncoder, config=config, prefix=prefix + C.TRANSFORMER_ENCODER_PREFIX)
return encoder_seq | [
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kkroening/ffmpeg-python | ffmpeg/_probe.py | https://github.com/kkroening/ffmpeg-python/blob/ac111dc3a976ddbb872bc7d6d4fe24a267c1a956/ffmpeg/_probe.py#L7-L24 | def probe(filename, cmd='ffprobe', **kwargs):
"""Run ffprobe on the specified file and return a JSON representation of the output.
Raises:
:class:`ffmpeg.Error`: if ffprobe returns a non-zero exit code,
an :class:`Error` is returned with a generic error message.
The stderr output can be retrieved by accessing the
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"""
args = [cmd, '-show_format', '-show_streams', '-of', 'json']
args += convert_kwargs_to_cmd_line_args(kwargs)
args += [filename]
p = subprocess.Popen(args, stdout=subprocess.PIPE, stderr=subprocess.PIPE)
out, err = p.communicate()
if p.returncode != 0:
raise Error('ffprobe', out, err)
return json.loads(out.decode('utf-8')) | [
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marcelcaraciolo/foursquare | pyfoursquare/foursquare.py | https://github.com/marcelcaraciolo/foursquare/blob/a8bda33cc2d61e25aa8df72011246269fd98aa13/pyfoursquare/foursquare.py#L208-L218 | def get_authorization_url(self):
"""Get the authorization URL to redirect the user"""
url = self._get_oauth_url('authenticate')
query = {
'client_id': self._client_id,
'response_type': 'code',
'redirect_uri': self.callback
}
query_str = self.urlencode(query)
return url + '?' + query_str | [
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iotile/coretools | iotilecore/iotile/core/dev/registry.py | https://github.com/iotile/coretools/blob/2d794f5f1346b841b0dcd16c9d284e9bf2f3c6ec/iotilecore/iotile/core/dev/registry.py#L52-L58 | def kvstore(self):
"""Lazily load the underlying key-value store backing this registry."""
if self._kvstore is None:
self._kvstore = self.BackingType(self.BackingFileName, respect_venv=True)
return self._kvstore | [
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ga4gh/ga4gh-server | ga4gh/server/datarepo.py | https://github.com/ga4gh/ga4gh-server/blob/1aa18922ef136db8604f6f098cb1732cba6f2a76/ga4gh/server/datarepo.py#L1217-L1237 | def insertBiosample(self, biosample):
"""
Inserts the specified Biosample into this repository.
"""
try:
models.Biosample.create(
id=biosample.getId(),
datasetid=biosample.getParentContainer().getId(),
name=biosample.getLocalId(),
description=biosample.getDescription(),
disease=json.dumps(biosample.getDisease()),
created=biosample.getCreated(),
updated=biosample.getUpdated(),
individualid=biosample.getIndividualId(),
attributes=json.dumps(biosample.getAttributes()),
individualAgeAtCollection=json.dumps(
biosample.getIndividualAgeAtCollection()))
except Exception:
raise exceptions.DuplicateNameException(
biosample.getLocalId(),
biosample.getParentContainer().getLocalId()) | [
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wakatime/wakatime | wakatime/stats.py | https://github.com/wakatime/wakatime/blob/74519ace04e8472f3a3993269963732b9946a01d/wakatime/stats.py#L288-L301 | def get_file_head(file_name):
"""Returns the first 512000 bytes of the file's contents."""
text = None
try:
with open(file_name, 'r', encoding='utf-8') as fh:
text = fh.read(512000)
except:
try:
with open(file_name, 'r', encoding=sys.getfilesystemencoding()) as fh:
text = fh.read(512000) # pragma: nocover
except:
log.traceback(logging.DEBUG)
return text | [
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googleapis/google-cloud-python | securitycenter/google/cloud/securitycenter_v1/gapic/security_center_client.py | https://github.com/googleapis/google-cloud-python/blob/85e80125a59cb10f8cb105f25ecc099e4b940b50/securitycenter/google/cloud/securitycenter_v1/gapic/security_center_client.py#L122-L128 | def source_path(cls, organization, source):
"""Return a fully-qualified source string."""
return google.api_core.path_template.expand(
"organizations/{organization}/sources/{source}",
organization=organization,
source=source,
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optimizely/python-sdk | optimizely/project_config.py | https://github.com/optimizely/python-sdk/blob/ec028d9efcf22498c3820f2650fa10f5c30bec90/optimizely/project_config.py#L478-L497 | def get_variable_for_feature(self, feature_key, variable_key):
""" Get the variable with the given variable key for the given feature.
Args:
feature_key: The key of the feature for which we are getting the variable.
variable_key: The key of the variable we are getting.
Returns:
Variable with the given key in the given variation.
"""
feature = self.feature_key_map.get(feature_key)
if not feature:
self.logger.error('Feature with key "%s" not found in the datafile.' % feature_key)
return None
if variable_key not in feature.variables:
self.logger.error('Variable with key "%s" not found in the datafile.' % variable_key)
return None
return feature.variables.get(variable_key) | [
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saltstack/salt | salt/states/cron.py | https://github.com/saltstack/salt/blob/e8541fd6e744ab0df786c0f76102e41631f45d46/salt/states/cron.py#L257-L383 | def present(name,
user='root',
minute='*',
hour='*',
daymonth='*',
month='*',
dayweek='*',
comment=None,
commented=False,
identifier=False,
special=None):
'''
Verifies that the specified cron job is present for the specified user.
It is recommended to use `identifier`. Otherwise the cron job is installed
twice if you change the name.
For more advanced information about what exactly can be set in the cron
timing parameters, check your cron system's documentation. Most Unix-like
systems' cron documentation can be found via the crontab man page:
``man 5 crontab``.
name
The command that should be executed by the cron job.
user
The name of the user whose crontab needs to be modified, defaults to
the root user
minute
The information to be set into the minute section, this can be any
string supported by your cron system's the minute field. Default is
``*``
hour
The information to be set in the hour section. Default is ``*``
daymonth
The information to be set in the day of month section. Default is ``*``
month
The information to be set in the month section. Default is ``*``
dayweek
The information to be set in the day of week section. Default is ``*``
comment
User comment to be added on line previous the cron job
commented
The cron job is set commented (prefixed with ``#DISABLED#``).
Defaults to False.
.. versionadded:: 2016.3.0
identifier
Custom-defined identifier for tracking the cron line for future crontab
edits. This defaults to the state name
special
A special keyword to specify periodicity (eg. @reboot, @hourly...).
Quotes must be used, otherwise PyYAML will strip the '@' sign.
.. versionadded:: 2016.3.0
'''
name = name.strip()
if identifier is False:
identifier = name
ret = {'changes': {},
'comment': '',
'name': name,
'result': True}
if __opts__['test']:
status = _check_cron(user,
cmd=name,
minute=minute,
hour=hour,
daymonth=daymonth,
month=month,
dayweek=dayweek,
comment=comment,
commented=commented,
identifier=identifier,
special=special)
ret['result'] = None
if status == 'absent':
ret['comment'] = 'Cron {0} is set to be added'.format(name)
elif status == 'present':
ret['result'] = True
ret['comment'] = 'Cron {0} already present'.format(name)
elif status == 'update':
ret['comment'] = 'Cron {0} is set to be updated'.format(name)
return ret
if special is None:
data = __salt__['cron.set_job'](user=user,
minute=minute,
hour=hour,
daymonth=daymonth,
month=month,
dayweek=dayweek,
cmd=name,
comment=comment,
commented=commented,
identifier=identifier)
else:
data = __salt__['cron.set_special'](user=user,
special=special,
cmd=name,
comment=comment,
commented=commented,
identifier=identifier)
if data == 'present':
ret['comment'] = 'Cron {0} already present'.format(name)
return ret
if data == 'new':
ret['comment'] = 'Cron {0} added to {1}\'s crontab'.format(name, user)
ret['changes'] = {user: name}
return ret
if data == 'updated':
ret['comment'] = 'Cron {0} updated'.format(name)
ret['changes'] = {user: name}
return ret
ret['comment'] = ('Cron {0} for user {1} failed to commit with error \n{2}'
.format(name, user, data))
ret['result'] = False
return ret | [
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It is recommended to use `identifier`. Otherwise the cron job is installed
twice if you change the name.
For more advanced information about what exactly can be set in the cron
timing parameters, check your cron system's documentation. Most Unix-like
systems' cron documentation can be found via the crontab man page:
``man 5 crontab``.
name
The command that should be executed by the cron job.
user
The name of the user whose crontab needs to be modified, defaults to
the root user
minute
The information to be set into the minute section, this can be any
string supported by your cron system's the minute field. Default is
``*``
hour
The information to be set in the hour section. Default is ``*``
daymonth
The information to be set in the day of month section. Default is ``*``
month
The information to be set in the month section. Default is ``*``
dayweek
The information to be set in the day of week section. Default is ``*``
comment
User comment to be added on line previous the cron job
commented
The cron job is set commented (prefixed with ``#DISABLED#``).
Defaults to False.
.. versionadded:: 2016.3.0
identifier
Custom-defined identifier for tracking the cron line for future crontab
edits. This defaults to the state name
special
A special keyword to specify periodicity (eg. @reboot, @hourly...).
Quotes must be used, otherwise PyYAML will strip the '@' sign.
.. versionadded:: 2016.3.0 | [
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ARMmbed/mbed-cloud-sdk-python | src/mbed_cloud/_backends/update_service/apis/default_api.py | https://github.com/ARMmbed/mbed-cloud-sdk-python/blob/c0af86fb2cdd4dc7ed26f236139241067d293509/src/mbed_cloud/_backends/update_service/apis/default_api.py#L2066-L2091 | def upload_job_chunk_list(self, upload_job_id, **kwargs): # noqa: E501
"""List all metadata for uploaded chunks # noqa: E501
List all metadata for uploaded chunks # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass asynchronous=True
>>> thread = api.upload_job_chunk_list(upload_job_id, asynchronous=True)
>>> result = thread.get()
:param asynchronous bool
:param str upload_job_id: Upload job (required)
:param int limit: How many metadata items for uploaded chunks to retrieve
:param str order: ASC or DESC
:param str after: The ID of the the item after which to retrieve the next page
:param str include: A comma-separated list of data fields to return. Currently supported: total_count
:param str filter: URL-encoded query string parameter to filter returned data `?filter={URL-encoded query string}` ###### Filterable fields: The table lists all the fields that can be filtered on with certain filters: <table> <thead> <tr> <th>Field</th> <th>= / __eq / __neq</th> <th>__in / __nin</th> <th>__lte / __gte</th> <tr> <thead> <tbody> <tr> <td>created_at</td> <td>✓</td> <td>✓</td> <td>✓</td> </tr> <tr> <td>etag</td> <td>✓</td> <td>✓</td> <td>✓</td> </tr> <tr> <td>id</td> <td>✓</td> <td>✓</td> <td> </td> </tr> <tr> <td>updated_at</td> <td>✓</td> <td>✓</td> <td>✓</td> </tr> <tr> <td>status</td> <td>✓</td> <td>✓</td> </tr> <tr> <td>hash</td> <td>✓</td> <td>✓</td> </tr> <tr> <td>length</td> <td>✓</td> <td>✓</td> <td>✓</td> </tr> </tbody> </table> The query string is made up of key-value pairs separated by ampersands. For example, this query: `key1=value1&key2=value2&key3=value3` would be URL-encoded as: `?filter=key1__eq%3Dvalue1%26key2__eq%3Dvalue2%26key3__eq%3Dvalue3` **Filtering by properties** `status__eq=in_progress` **Filtering on date-time fields** Date-time fields should be specified in UTC RFC3339 format, `YYYY-MM-DDThh:mm:ss.msZ`. There are three permitted variations: * UTC RFC3339 with milliseconds. Example: `2016-11-30T16:25:12.1234Z` * UTC RFC3339 without milliseconds. Example: `2016-11-30T16:25:12Z` * UTC RFC3339 shortened without milliseconds and punctuation. Example: `20161130T162512Z` Date-time filtering supports three operators: * equality by appending `__eq` to the field name * greater than or equal to by appending `__gte` to the field name * less than or equal to by appending `__lte` to the field name `{field name}[|__eq|__lte|__gte]={UTC RFC3339 date-time}` Time ranges may be specified by including both the `__gte` and `__lte` forms in the filter. For example: `created_at__gte=2016-11-30T16:25:12.1234Z&created_at__lte=2016-12-30T00:00:00Z` **Filtering on multiple fields** `status__eq=in_progress&created_at__gte=2016-11-30T16:25:12.1234Z&created_at__lte=2016-12-30T00:00:00Z` **Filtering with filter operators** String field filtering supports the following operators: * equality: `__eq` * non-equality: `__neq` * in : `__in` * not in: `__nin` For `__in` and `__nin` filters list of parameters must be comma-separated: `status__in=in_progress,success`
:return: UploadChunkInfoPage
If the method is called asynchronously,
returns the request thread.
"""
kwargs['_return_http_data_only'] = True
if kwargs.get('asynchronous'):
return self.upload_job_chunk_list_with_http_info(upload_job_id, **kwargs) # noqa: E501
else:
(data) = self.upload_job_chunk_list_with_http_info(upload_job_id, **kwargs) # noqa: E501
return data | [
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>>> thread = api.upload_job_chunk_list(upload_job_id, asynchronous=True)
>>> result = thread.get()
:param asynchronous bool
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:param int limit: How many metadata items for uploaded chunks to retrieve
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:return: UploadChunkInfoPage
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opencobra/cobrapy | cobra/flux_analysis/deletion.py | https://github.com/opencobra/cobrapy/blob/9d1987cdb3a395cf4125a3439c3b002ff2be2009/cobra/flux_analysis/deletion.py#L184-L225 | def single_reaction_deletion(model, reaction_list=None, method="fba",
solution=None, processes=None, **kwargs):
"""
Knock out each reaction from a given list.
Parameters
----------
model : cobra.Model
The metabolic model to perform deletions in.
reaction_list : iterable, optional
``cobra.Reaction``s to be deleted. If not passed,
all the reactions from the model are used.
method: {"fba", "moma", "linear moma", "room", "linear room"}, optional
Method used to predict the growth rate.
solution : cobra.Solution, optional
A previous solution to use as a reference for (linear) MOMA or ROOM.
processes : int, optional
The number of parallel processes to run. Can speed up the computations
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will be set to the number of CPUs found.
kwargs :
Keyword arguments are passed on to underlying simulation functions
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Returns
-------
pandas.DataFrame
A representation of all single reaction deletions. The columns are
'growth' and 'status', where
index : frozenset([str])
The reaction identifier that was knocked out.
growth : float
The growth rate of the adjusted model.
status : str
The solution's status.
"""
return _multi_deletion(
model, 'reaction',
element_lists=_element_lists(model.reactions, reaction_list),
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mdgoldberg/sportsref | sportsref/nba/players.py | https://github.com/mdgoldberg/sportsref/blob/09f11ac856a23c96d666d1d510bb35d6f050b5c3/sportsref/nba/players.py#L175-L177 | def stats_per100(self, kind='R', summary=False):
"""Returns a DataFrame of per-100-possession stats."""
return self._get_stats_table('per_poss', kind=kind, summary=summary) | [
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zvoase/django-relax | relax/viewserver.py | https://github.com/zvoase/django-relax/blob/10bb37bf3a512b290816856a6877c17fa37e930f/relax/viewserver.py#L158-L190 | def handle(self):
"""The main function called to handle a request."""
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# ["<cmd_name>" "<cmd_arg1>" "<cmd_arg2>" ...]
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self.wfile.write(repr(exc) + NEWLINE)
continue
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if not return_value:
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inasafe/inasafe | safe/gui/tools/wizard/step_kw47_default_inasafe_fields.py | https://github.com/inasafe/inasafe/blob/831d60abba919f6d481dc94a8d988cc205130724/safe/gui/tools/wizard/step_kw47_default_inasafe_fields.py#L106-L193 | def set_widgets(self):
"""Set widgets on the Extra Keywords tab."""
self.clear()
existing_inasafe_field = self.parent.get_existing_keyword(
'inasafe_fields')
existing_inasafe_default_values = self.parent.get_existing_keyword(
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# Remove old container and parameter
if self.parameter_container:
self.kwExtraKeywordsGridLayout.removeWidget(
self.parameter_container)
if self.parameters:
self.parameters = []
# Iterate through all inasafe fields
# existing_inasafe_default_values
for inasafe_field in self.inasafe_fields_for_the_layer():
# Option for Not Available
option_list = [no_field]
for field in self.parent.layer.fields():
# Check the field type
if isinstance(inasafe_field['type'], list):
if field.type() in inasafe_field['type']:
field_name = field.name()
option_list.append('%s' % field_name)
else:
if field.type() == inasafe_field['type']:
field_name = field.name()
option_list.append('%s' % field_name)
# Create DefaultSelectParameter
parameter = DefaultSelectParameter()
parameter.guid = inasafe_field['key']
parameter.name = inasafe_field['name']
parameter.is_required = False
parameter.description = inasafe_field['description']
parameter.help_text = inasafe_field['help_text']
parameter.element_type = str
parameter.options_list = option_list
parameter.value = no_field
parameter.default_labels = get_inasafe_default_value_fields(
self.parent.setting, inasafe_field['key'])[0]
parameter.default_values = get_inasafe_default_value_fields(
self.parent.setting, inasafe_field['key'])[1]
parameter.minimum = inasafe_field['default_value'].get(
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parameter.maximum = inasafe_field['default_value'].get(
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# Check if there is already value in the metadata.
if existing_inasafe_field:
existing_value = existing_inasafe_field.get(
inasafe_field['key'])
if existing_value:
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parameter.value = existing_value
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if existing_default_value:
parameter.default = existing_default_value
self.parameters.append(parameter)
# Create the parameter container and add to the wizard.
self.parameter_container = ParameterContainer(
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self.parameter_container.setup_ui()
self.kwExtraKeywordsGridLayout.addWidget(self.parameter_container)
# Add Message label
self.kwExtraKeywordsGridLayout.addWidget(self.message_label)
# Set default value to None
for parameter_widget in self.parameter_container.\
get_parameter_widgets():
parameter_widget.widget().set_default(None)
# Set selected radio button to 'Do not report'
parameter_widget.widget().set_selected_radio_button()
# Set default value from existing keywords
if existing_inasafe_default_values:
for guid, default in list(existing_inasafe_default_values.items()):
parameter_widget = self.parameter_container.\
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if isinstance(parameter_widget, DefaultSelectParameterWidget):
parameter_widget.set_default(default)
# Set selected radio button to 'Do not report'
parameter_widget.set_selected_radio_button() | [
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Jammy2211/PyAutoLens | autolens/data/array/mask.py | https://github.com/Jammy2211/PyAutoLens/blob/91e50369c7a9c048c83d217625578b72423cd5a7/autolens/data/array/mask.py#L231-L241 | def map_2d_array_to_masked_1d_array(self, array_2d):
"""For a 2D array (e.g. an image, noise_map, etc.) map it to a masked 1D array of valuees using this mask.
Parameters
----------
array_2d : ndarray | None | float
The 2D array to be mapped to a masked 1D array.
"""
if array_2d is None or isinstance(array_2d, float):
return array_2d
return mapping_util.map_2d_array_to_masked_1d_array_from_array_2d_and_mask(self, array_2d) | [
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pypa/pipenv | pipenv/vendor/click/decorators.py | https://github.com/pypa/pipenv/blob/cae8d76c210b9777e90aab76e9c4b0e53bb19cde/pipenv/vendor/click/decorators.py#L286-L307 | def help_option(*param_decls, **attrs):
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apache/airflow | airflow/models/xcom.py | https://github.com/apache/airflow/blob/b69c686ad8a0c89b9136bb4b31767257eb7b2597/airflow/models/xcom.py#L88-L136 | def set(
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Store an XCom value.
TODO: "pickling" has been deprecated and JSON is preferred.
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:return: None
"""
session.expunge_all()
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if enable_pickling:
value = pickle.dumps(value)
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value = json.dumps(value).encode('UTF-8')
except ValueError:
log = LoggingMixin().log
log.error("Could not serialize the XCOM value into JSON. "
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raise
# remove any duplicate XComs
session.query(cls).filter(
cls.key == key,
cls.execution_date == execution_date,
cls.task_id == task_id,
cls.dag_id == dag_id).delete()
session.commit()
# insert new XCom
session.add(XCom(
key=key,
value=value,
execution_date=execution_date,
task_id=task_id,
dag_id=dag_id))
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stephantul/somber | somber/base.py | https://github.com/stephantul/somber/blob/b7a13e646239500cc393668c01a7169c3e50b7b5/somber/base.py#L471-L494 | def predict(self, X, batch_size=1, show_progressbar=False):
"""
Predict the BMU for each input data.
Parameters
----------
X : numpy array.
The input data.
batch_size : int, optional, default 100
The batch size to use in prediction. This may affect prediction
in stateful, i.e. sequential SOMs.
show_progressbar : bool
Whether to show a progressbar during prediction.
Returns
-------
predictions : numpy array
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"""
dist = self.transform(X, batch_size, show_progressbar)
res = dist.__getattribute__(self.argfunc)(1)
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pkgw/pwkit | pwkit/environments/__init__.py | https://github.com/pkgw/pwkit/blob/d40957a1c3d2ea34e7ceac2267ee9635135f2793/pwkit/environments/__init__.py#L113-L130 | def prepend_environ_path(env, name, text, pathsep=os.pathsep):
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dictionary of environment variables and `name` is the variable name.
`pathsep` is the character separating path elements, defaulting to
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prepend_environ_path(env, 'PATH', '/mypackage/bin')
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quantopian/zipline | zipline/pipeline/loaders/earnings_estimates.py | https://github.com/quantopian/zipline/blob/77ad15e6dc4c1cbcdc133653bac8a63fc704f7fe/zipline/pipeline/loaders/earnings_estimates.py#L74-L92 | def validate_column_specs(events, columns):
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Verify that the columns of ``events`` can be used by a
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`columns`.
"""
required = required_estimates_fields(columns)
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received=sorted(received),
required=sorted(required),
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NASA-AMMOS/AIT-Core | ait/core/server/server.py | https://github.com/NASA-AMMOS/AIT-Core/blob/9d85bd9c738e7a6a6fbdff672bea708238b02a3a/ait/core/server/server.py#L192-L215 | def _create_handler(self, config):
"""
Creates a handler from its config.
Params:
config: handler config
Returns:
handler instance
"""
if config is None:
raise ValueError('No handler config to create handler from.')
if 'name' not in config:
raise ValueError('Handler name is required.')
handler_name = config['name']
# try to create handler
module_name = handler_name.rsplit('.', 1)[0]
class_name = handler_name.rsplit('.', 1)[-1]
module = import_module(module_name)
handler_class = getattr(module, class_name)
instance = handler_class(**config)
return instance | [
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ethereum/lahja | lahja/endpoint.py | https://github.com/ethereum/lahja/blob/e3993c5892232887a11800ed3e66332febcee96b/lahja/endpoint.py#L359-L377 | def broadcast(self, item: BaseEvent, config: Optional[BroadcastConfig] = None) -> None:
"""
Broadcast an instance of :class:`~lahja.misc.BaseEvent` on the event bus. Takes
an optional second parameter of :class:`~lahja.misc.BroadcastConfig` to decide
where this event should be broadcasted to. By default, events are broadcasted across
all connected endpoints with their consuming call sites.
"""
item._origin = self.name
if config is not None and config.internal:
# Internal events simply bypass going through the central event bus
# and are directly put into the local receiving queue instead.
self._internal_queue.put_nowait((item, config))
else:
# Broadcast to every connected Endpoint that is allowed to receive the event
compressed_item = self._compress_event(item)
for name, connector in self._connected_endpoints.items():
allowed = (config is None) or config.allowed_to_receive(name)
if allowed:
connector.put_nowait((compressed_item, config)) | [
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billy-yoyo/RainbowSixSiege-Python-API | r6sapi/r6sapi.py | https://github.com/billy-yoyo/RainbowSixSiege-Python-API/blob/9860fdfd9a78aabd977eaa71b0a4ab4ed69e94d0/r6sapi/r6sapi.py#L1259-L1277 | def get_operator(self, operator):
"""|coro|
Checks the players stats for this operator, only loading them if they haven't already been found
Parameters
----------
operator : str
the name of the operator
Returns
-------
:class:`Operator`
the operator object found"""
if operator in self.operators:
return self.operators[operator]
result = yield from self.load_operator(operator)
return result | [
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] | python | train |
AkihikoITOH/capybara | capybara/virtualenv/lib/python2.7/site-packages/flask/templating.py | https://github.com/AkihikoITOH/capybara/blob/e86c2173ea386654f4ae061148e8fbe3f25e715c/capybara/virtualenv/lib/python2.7/site-packages/flask/templating.py#L21-L33 | def _default_template_ctx_processor():
"""Default template context processor. Injects `request`,
`session` and `g`.
"""
reqctx = _request_ctx_stack.top
appctx = _app_ctx_stack.top
rv = {}
if appctx is not None:
rv['g'] = appctx.g
if reqctx is not None:
rv['request'] = reqctx.request
rv['session'] = reqctx.session
return rv | [
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mozilla/DeepSpeech | bin/benchmark_nc.py | https://github.com/mozilla/DeepSpeech/blob/f64aa73e7fbe9dde40d4fcf23b42ab304747d152/bin/benchmark_nc.py#L139-L186 | def all_files(models=[]):
r'''
Return a list of full path of files matching 'models', sorted in human
numerical order (i.e., 0 1 2 ..., 10 11 12, ..., 100, ..., 1000).
Files are supposed to be named identically except one variable component
e.g. the list,
test.weights.e5.lstm1200.ldc93s1.pb
test.weights.e5.lstm1000.ldc93s1.pb
test.weights.e5.lstm800.ldc93s1.pb
gets sorted:
test.weights.e5.lstm800.ldc93s1.pb
test.weights.e5.lstm1000.ldc93s1.pb
test.weights.e5.lstm1200.ldc93s1.pb
'''
def nsort(a, b):
fa = os.path.basename(a).split('.')
fb = os.path.basename(b).split('.')
elements_to_remove = []
assert len(fa) == len(fb)
for i in range(0, len(fa)):
if fa[i] == fb[i]:
elements_to_remove.append(fa[i])
for e in elements_to_remove:
fa.remove(e)
fb.remove(e)
assert len(fa) == len(fb)
assert len(fa) == 1
fa = keep_only_digits(fa[0])
fb = keep_only_digits(fb[0])
if fa < fb:
return -1
if fa == fb:
return 0
if fa > fb:
return 1
base = list(map(lambda x: os.path.abspath(x), maybe_inspect_zip(models)))
base.sort(cmp=nsort)
return base | [
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e.g. the list,
test.weights.e5.lstm1200.ldc93s1.pb
test.weights.e5.lstm1000.ldc93s1.pb
test.weights.e5.lstm800.ldc93s1.pb
gets sorted:
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test.weights.e5.lstm1000.ldc93s1.pb
test.weights.e5.lstm1200.ldc93s1.pb | [
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Equitable/trump | trump/converting/objects.py | https://github.com/Equitable/trump/blob/a2802692bc642fa32096374159eea7ceca2947b4/trump/converting/objects.py#L65-L76 | def use_trump_data(self, symbols):
"""
Use trump data to build conversion table
symbols :
list of symbols:
will attempt to use units to build the conversion table,
strings represent symbol names.
"""
dfs = {sym.units : sym.df[sym.name] for sym in symbols}
self.build_conversion_table(dfs) | [
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blockstack/blockstack-core | blockstack/lib/atlas.py | https://github.com/blockstack/blockstack-core/blob/1dcfdd39b152d29ce13e736a6a1a0981401a0505/blockstack/lib/atlas.py#L2713-L2722 | def canonical_peer( self, peer ):
"""
Get the canonical peer name
"""
their_host, their_port = url_to_host_port( peer )
if their_host in ['127.0.0.1', '::1']:
their_host = 'localhost'
return "%s:%s" % (their_host, their_port) | [
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bitshares/python-bitshares | bitshares/bitshares.py | https://github.com/bitshares/python-bitshares/blob/8a3b5954a6abcaaff7c6a5c41d910e58eea3142f/bitshares/bitshares.py#L128-L163 | def transfer(self, to, amount, asset, memo="", account=None, **kwargs):
""" Transfer an asset to another account.
:param str to: Recipient
:param float amount: Amount to transfer
:param str asset: Asset to transfer
:param str memo: (optional) Memo, may begin with `#` for encrypted
messaging
:param str account: (optional) the source account for the transfer
if not ``default_account``
"""
from .memo import Memo
if not account:
if "default_account" in self.config:
account = self.config["default_account"]
if not account:
raise ValueError("You need to provide an account")
account = Account(account, blockchain_instance=self)
amount = Amount(amount, asset, blockchain_instance=self)
to = Account(to, blockchain_instance=self)
memoObj = Memo(from_account=account, to_account=to, blockchain_instance=self)
op = operations.Transfer(
**{
"fee": {"amount": 0, "asset_id": "1.3.0"},
"from": account["id"],
"to": to["id"],
"amount": {"amount": int(amount), "asset_id": amount.asset["id"]},
"memo": memoObj.encrypt(memo),
"prefix": self.prefix,
}
)
return self.finalizeOp(op, account, "active", **kwargs) | [
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:param str account: (optional) the source account for the transfer
if not ``default_account`` | [
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] | python | train |
marcomusy/vtkplotter | vtkplotter/vtkio.py | https://github.com/marcomusy/vtkplotter/blob/692c3396782722ec525bc1346a26999868c650c6/vtkplotter/vtkio.py#L357-L405 | def loadDolfin(filename, c="gold", alpha=0.5, wire=None, bc=None):
"""Reads a `Fenics/Dolfin` file format. Return an ``Actor(vtkActor)`` object."""
if not os.path.exists(filename):
colors.printc("~noentry Error in loadDolfin: Cannot find", filename, c=1)
return None
import xml.etree.ElementTree as et
if filename.endswith(".gz"):
import gzip
inF = gzip.open(filename, "rb")
outF = open("/tmp/filename.xml", "wb")
outF.write(inF.read())
outF.close()
inF.close()
tree = et.parse("/tmp/filename.xml")
else:
tree = et.parse(filename)
coords, connectivity = [], []
for mesh in tree.getroot():
for elem in mesh:
for e in elem.findall("vertex"):
x = float(e.get("x"))
y = float(e.get("y"))
ez = e.get("z")
if ez is None:
coords.append([x, y])
else:
z = float(ez)
coords.append([x, y, z])
tets = elem.findall("tetrahedron")
if not len(tets):
tris = elem.findall("triangle")
for e in tris:
v0 = int(e.get("v0"))
v1 = int(e.get("v1"))
v2 = int(e.get("v2"))
connectivity.append([v0, v1, v2])
else:
for e in tets:
v0 = int(e.get("v0"))
v1 = int(e.get("v1"))
v2 = int(e.get("v2"))
v3 = int(e.get("v3"))
connectivity.append([v0, v1, v2, v3])
poly = buildPolyData(coords, connectivity)
return Actor(poly, c, alpha, True, bc) | [
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AtteqCom/zsl | src/zsl/utils/xml_helper.py | https://github.com/AtteqCom/zsl/blob/ab51a96da1780ff642912396d4b85bdcb72560c1/src/zsl/utils/xml_helper.py#L81-L96 | def attrib_to_dict(element, *args, **kwargs):
"""For an ElementTree ``element`` extract specified attributes. If an attribute does not exists, its value will be
``None``.
attrib_to_dict(element, 'attr_a', 'attr_b') -> {'attr_a': 'value', 'attr_a': 'value'}
Mapping between xml attributes and dictionary keys is done with kwargs.
attrib_to_dict(element, my_new_name = 'xml_atribute_name', ..)
"""
if len(args) > 0:
return {key: element.get(key) for key in args}
if len(kwargs) > 0:
return {new_key: element.get(old_key) for new_key, old_key in viewitems(kwargs)}
return element.attrib | [
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yjzhang/uncurl_python | uncurl/nb_clustering.py | https://github.com/yjzhang/uncurl_python/blob/55c58ca5670f87699d3bd5752fdfa4baa07724dd/uncurl/nb_clustering.py#L22-L28 | def log_ncr(a, b):
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"""
val = gammaln(a+1) - gammaln(a-b+1) - gammaln(b+1)
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google/grr | grr/server/grr_response_server/databases/mem_clients.py | https://github.com/google/grr/blob/5cef4e8e2f0d5df43ea4877e9c798e0bf60bfe74/grr/server/grr_response_server/databases/mem_clients.py#L342-L352 | def ReadClientCrashInfoHistory(self, client_id):
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if not history:
return []
res = []
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bcb/jsonrpcclient | jsonrpcclient/clients/tornado_client.py | https://github.com/bcb/jsonrpcclient/blob/5b5abc28d1466d694c80b80c427a5dcb275382bb/jsonrpcclient/clients/tornado_client.py#L46-L66 | async def send_message( # type: ignore
self, request: str, response_expected: bool, **kwargs: Any
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"""
Transport the message to the server and return the response.
Args:
request: The JSON-RPC request string.
response_expected: Whether the request expects a response.
Returns:
A Response object.
"""
headers = dict(self.DEFAULT_HEADERS)
headers.update(kwargs.pop("headers", {}))
response = await self.client.fetch(
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edx/edx-django-release-util | release_util/management/commands/__init__.py | https://github.com/edx/edx-django-release-util/blob/de0fde41d6a19885ab7dc309472b94fd0fccbc1d/release_util/management/commands/__init__.py#L310-L324 | def apply_all(self):
"""
Applies all Django model migrations at once, recording the result.
"""
if self.__closed:
raise MigrationSessionError("Can't apply applied session")
if self._to_apply:
raise MigrationSessionError("Can't apply_all with migrations added to session")
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self.__apply(run_all=True)
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deepmipt/DeepPavlov | deeppavlov/models/preprocessors/capitalization.py | https://github.com/deepmipt/DeepPavlov/blob/f3e4a69a3764d25d2f5bad4f1f1aebc872b00f9c/deeppavlov/models/preprocessors/capitalization.py#L75-L108 | def process_word(word: str, to_lower: bool = False,
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"""Converts word to a tuple of symbols, optionally converts it to lowercase
and adds capitalization label.
Args:
word: input word
to_lower: whether to lowercase
append_case: whether to add case mark
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Returns:
a preprocessed word
"""
if all(x.isupper() for x in word) and len(word) > 1:
uppercase = "<ALL_UPPER>"
elif word[0].isupper():
uppercase = "<FIRST_UPPER>"
else:
uppercase = None
if to_lower:
word = word.lower()
if word.isdigit():
answer = ["<DIGIT>"]
elif word.startswith("http://") or word.startswith("www."):
answer = ["<HTTP>"]
else:
answer = list(word)
if to_lower and uppercase is not None:
if append_case == "first":
answer = [uppercase] + answer
elif append_case == "last":
answer = answer + [uppercase]
return tuple(answer) | [
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koenedaele/skosprovider | skosprovider/providers.py | https://github.com/koenedaele/skosprovider/blob/7304a37953978ca8227febc2d3cc2b2be178f215/skosprovider/providers.py#L488-L503 | def _get_find_dict(self, c, **kwargs):
'''
Return a dict that can be used in the return list of the :meth:`find`
method.
:param c: A :class:`skosprovider.skos.Concept` or
:class:`skosprovider.skos.Collection`.
:rtype: dict
'''
language = self._get_language(**kwargs)
return {
'id': c.id,
'uri': c.uri,
'type': c.type,
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nirum/tableprint | tableprint/printer.py | https://github.com/nirum/tableprint/blob/50ab4b96706fce8ee035a4d48cb456e3271eab3d/tableprint/printer.py#L276-L284 | def dataframe(df, **kwargs):
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Parameters
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df : DataFrame
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"""
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joerick/pyinstrument | pyinstrument/vendor/decorator.py | https://github.com/joerick/pyinstrument/blob/cc4f3f6fc1b493d7cd058ecf41ad012e0030a512/pyinstrument/vendor/decorator.py#L331-L433 | def dispatch_on(*dispatch_args):
"""
Factory of decorators turning a function into a generic function
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"""
assert dispatch_args, 'No dispatch args passed'
dispatch_str = '(%s,)' % ', '.join(dispatch_args)
def check(arguments, wrong=operator.ne, msg=''):
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raise TypeError('Expected %d arguments, got %d%s' %
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def gen_func_dec(func):
"""Decorator turning a function into a generic function"""
# first check the dispatch arguments
argset = set(getfullargspec(func).args)
if not set(dispatch_args) <= argset:
raise NameError('Unknown dispatch arguments %s' % dispatch_str)
typemap = {}
def vancestors(*types):
"""
Get a list of sets of virtual ancestors for the given types
"""
check(types)
ras = [[] for _ in range(len(dispatch_args))]
for types_ in typemap:
for t, type_, ra in zip(types, types_, ras):
if issubclass(t, type_) and type_ not in t.mro():
append(type_, ra)
return [set(ra) for ra in ras]
def ancestors(*types):
"""
Get a list of virtual MROs, one for each type
"""
check(types)
lists = []
for t, vas in zip(types, vancestors(*types)):
n_vas = len(vas)
if n_vas > 1:
raise RuntimeError(
'Ambiguous dispatch for %s: %s' % (t, vas))
elif n_vas == 1:
va, = vas
mro = type('t', (t, va), {}).mro()[1:]
else:
mro = t.mro()
lists.append(mro[:-1]) # discard t and object
return lists
def register(*types):
"""
Decorator to register an implementation for the given types
"""
check(types)
def dec(f):
check(getfullargspec(f).args, operator.lt, ' in ' + f.__name__)
typemap[types] = f
return f
return dec
def dispatch_info(*types):
"""
An utility to introspect the dispatch algorithm
"""
check(types)
lst = []
for anc in itertools.product(*ancestors(*types)):
lst.append(tuple(a.__name__ for a in anc))
return lst
def _dispatch(dispatch_args, *args, **kw):
types = tuple(type(arg) for arg in dispatch_args)
try: # fast path
f = typemap[types]
except KeyError:
pass
else:
return f(*args, **kw)
combinations = itertools.product(*ancestors(*types))
next(combinations) # the first one has been already tried
for types_ in combinations:
f = typemap.get(types_)
if f is not None:
return f(*args, **kw)
# else call the default implementation
return func(*args, **kw)
return FunctionMaker.create(
func, 'return _f_(%s, %%(shortsignature)s)' % dispatch_str,
dict(_f_=_dispatch), register=register, default=func,
typemap=typemap, vancestors=vancestors, ancestors=ancestors,
dispatch_info=dispatch_info, __wrapped__=func)
gen_func_dec.__name__ = 'dispatch_on' + dispatch_str
return gen_func_dec | [
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tuomas2/automate | src/automate/extensions/rpc/rpc.py | https://github.com/tuomas2/automate/blob/d8a8cd03cd0da047e033a2d305f3f260f8c4e017/src/automate/extensions/rpc/rpc.py#L44-L50 | def set_object_status(self, statusdict):
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Set statuses from a dictionary of format ``{name: status}``
"""
for name, value in statusdict.items():
getattr(self.system, name).status = value
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eight04/pyAPNG | apng/__init__.py | https://github.com/eight04/pyAPNG/blob/b4d2927f7892a1de967b5cf57d434ed65f6a017e/apng/__init__.py#L321-L334 | def append(self, png, **options):
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raiden-network/raiden | raiden/raiden_service.py | https://github.com/raiden-network/raiden/blob/407ba15c72074e9de88771d6b9661ff4dc36bef5/raiden/raiden_service.py#L1004-L1009 | def sign(self, message: Message):
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ecell/ecell4 | ecell4/extra/azure_batch.py | https://github.com/ecell/ecell4/blob/a4a1229661c39b2059adbbacae9090e5ba664e01/ecell4/extra/azure_batch.py#L45-L60 | def print_batch_exception(batch_exception):
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for mesg in batch_exception.error.values:
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Grunny/zap-cli | zapcli/commands/context.py | https://github.com/Grunny/zap-cli/blob/d58d4850ecfc5467badfac5e5bcc841d064bd419/zapcli/commands/context.py#L35-L39 | def context_new(zap_helper, name):
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rkhleics/wagtailmenus | wagtailmenus/models/pages.py | https://github.com/rkhleics/wagtailmenus/blob/a41f240bed0d362e0d4dd4ef04a230f2b1827a93/wagtailmenus/models/pages.py#L67-L80 | def has_submenu_items(self, current_page, allow_repeating_parents,
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3ll3d00d/vibe | backend/src/analyser/common/targetcontroller.py | https://github.com/3ll3d00d/vibe/blob/124b029f13ac746723e92cb47e9cb56edd2e54b5/backend/src/analyser/common/targetcontroller.py#L64-L75 | def delete(self, name):
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titusjan/argos | argos/config/abstractcti.py | https://github.com/titusjan/argos/blob/20d0a3cae26c36ea789a5d219c02ca7df21279dd/argos/config/abstractcti.py#L400-L412 | def _nodeGetNonDefaultsDict(self):
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annoviko/pyclustering | pyclustering/cluster/rock.py | https://github.com/annoviko/pyclustering/blob/98aa0dd89fd36f701668fb1eb29c8fb5662bf7d0/pyclustering/cluster/rock.py#L97-L123 | def process(self):
"""!
@brief Performs cluster analysis in line with rules of ROCK algorithm.
@remark Results of clustering can be obtained using corresponding get methods.
@see get_clusters()
"""
# TODO: (Not related to specification, just idea) First iteration should be investigated. Euclidean distance should be used for clustering between two
# points and rock algorithm between clusters because we consider non-categorical samples. But it is required more investigations.
if (self.__ccore is True):
self.__clusters = wrapper.rock(self.__pointer_data, self.__eps, self.__number_clusters, self.__threshold);
else:
self.__clusters = [[index] for index in range(len(self.__pointer_data))];
while (len(self.__clusters) > self.__number_clusters):
indexes = self.__find_pair_clusters(self.__clusters);
if (indexes != [-1, -1]):
self.__clusters[indexes[0]] += self.__clusters[indexes[1]];
self.__clusters.pop(indexes[1]); # remove merged cluster.
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the01/python-paps | examples/measure/server.py | https://github.com/the01/python-paps/blob/2dde5a71913e4c7b22901cf05c6ecedd890919c4/examples/measure/server.py#L136-L155 | def create(host, port):
"""
Prepare server to execute
:return: Modules to execute, cmd line function
:rtype: list[WrapperServer], callable | None
"""
wrapper = WrapperServer({
'server': None
})
d = {
'listen_port': port,
'changer': wrapper
}
if host:
d['listen_bind_ip'] = host
ses = MeasureServer(d)
wrapper.server = ses
return [wrapper], cmd_line | [
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senaite/senaite.core | bika/lims/browser/analyses/view.py | https://github.com/senaite/senaite.core/blob/7602ce2ea2f9e81eb34e20ce17b98a3e70713f85/bika/lims/browser/analyses/view.py#L1176-L1190 | def _folder_item_remarks(self, analysis_brain, item):
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:param analysis_brain: Brain that represents an analysis
:param item: analysis' dictionary counterpart that represents a row
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if self.analysis_remarks_enabled():
item["Remarks"] = analysis_brain.getRemarks
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fronzbot/blinkpy | blinkpy/api.py | https://github.com/fronzbot/blinkpy/blob/bfdc1e47bdd84903f1aca653605846f3c99bcfac/blinkpy/api.py#L80-L88 | def request_system_disarm(blink, network):
"""
Disarm system.
:param blink: Blink instance.
:param network: Sync module network id.
"""
url = "{}/network/{}/disarm".format(blink.urls.base_url, network)
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log2timeline/dfdatetime | dfdatetime/time_elements.py | https://github.com/log2timeline/dfdatetime/blob/141ca4ef1eff3d354b5deaac3d81cb08506f98d6/dfdatetime/time_elements.py#L528-L545 | def CopyToDateTimeString(self):
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Returns:
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Raises:
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"""
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precision_helper = precisions.PrecisionHelperFactory.CreatePrecisionHelper(
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return precision_helper.CopyToDateTimeString(
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boundary/pulse-api-cli | boundary/hostgroup_get.py | https://github.com/boundary/pulse-api-cli/blob/b01ca65b442eed19faac309c9d62bbc3cb2c098f/boundary/hostgroup_get.py#L36-L44 | def get_arguments(self):
"""
Extracts the specific arguments of this CLI
"""
ApiCli.get_arguments(self)
if self.args.hostGroupId is not None:
self.hostGroupId = self.args.hostGroupId
self.path = "v1/hostgroup/{0}".format(str(self.hostGroupId)) | [
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GNS3/gns3-server | gns3server/web/documentation.py | https://github.com/GNS3/gns3-server/blob/a221678448fb5d24e977ef562f81d56aacc89ab1/gns3server/web/documentation.py#L121-L127 | def _include_query_example(self, f, method, path, api_version, server_type):
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m = method["method"].lower()
query_path = "{}_{}_{}.txt".format(server_type, m, self._file_path(path))
if os.path.isfile(os.path.join(self._directory, "api", "examples", query_path)):
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f.write("\n\n.. literalinclude:: ../../../examples/{}\n\n".format(query_path)) | [
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lago-project/lago | lago/log_utils.py | https://github.com/lago-project/lago/blob/5b8970f7687e063e4619066d5b8093ca997678c9/lago/log_utils.py#L436-L476 | def handle_error(self):
"""
Handles an error log record that should be shown
Returns:
None
"""
if not self.tasks:
return
# All the parents inherit the failure
self.mark_parent_tasks_as_failed(
self.cur_task,
flush_logs=True,
)
# Show the start headers for all the parent tasks if they were not
# shown by the depth level limit
for index, task in enumerate(self.tasks.values()):
if self.should_show_by_depth(index + 1):
continue
start_task_header = logging.LogRecord(
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)
start_task_header.msg = ColorFormatter.colored(
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START_TASK_MSG,
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start_task_header.task = task.name
self.pretty_emit(
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is_header=True,
task_level=index + 1,
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dropbox/stone | stone/frontend/parser.py | https://github.com/dropbox/stone/blob/2e95cbcd1c48e05cca68c919fd8d24adec6b0f58/stone/frontend/parser.py#L551-L560 | def p_union_patch(self, p):
"""union_patch : PATCH uniont ID NL INDENT field_list examples DEDENT"""
p[0] = AstUnionPatch(
path=self.path,
lineno=p[2][1],
lexpos=p[2][2],
name=p[3],
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projectatomic/atomic-reactor | atomic_reactor/util.py | https://github.com/projectatomic/atomic-reactor/blob/fd31c01b964097210bf169960d051e5f04019a80/atomic_reactor/util.py#L1116-L1148 | def get_config_and_id_from_registry(image, registry, digest, insecure=False,
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"""Return image config by digest
:param image: ImageName, the remote image to inspect
:param registry: str, URI for registry, if URI schema is not provided,
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"""
registry_session = RegistrySession(registry, insecure=insecure, dockercfg_path=dockercfg_path)
response = query_registry(
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response.raise_for_status()
manifest_config = response.json()
config_digest = manifest_config['config']['digest']
config_response = query_registry(
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config_response.raise_for_status()
blob_config = config_response.json()
context = '/'.join([x for x in [image.namespace, image.repo] if x])
tag = image.tag
logger.debug('Image %s:%s has config:\n%s', context, tag, blob_config)
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rackerlabs/timid | timid/steps.py | https://github.com/rackerlabs/timid/blob/b1c6aa159ab380a033740f4aa392cf0d125e0ac6/timid/steps.py#L329-L339 | def init(self, ctxt, step_addr):
"""
Initialize the item. This calls the class constructor with the
appropriate arguments and returns the initialized object.
:param ctxt: The context object.
:param step_addr: The address of the step in the test
configuration.
"""
return self.cls(ctxt, self.name, self.conf, step_addr) | [
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carpyncho/feets | feets/libs/ls_fap.py | https://github.com/carpyncho/feets/blob/53bdfb73b53845561914fc1f756e0c2377b9b76b/feets/libs/ls_fap.py#L169-L193 | def tau_davies(Z, fmax, t, y, dy, normalization='standard', dH=1, dK=3):
"""tau factor for estimating Davies bound (Baluev 2008, Table 1)"""
N = len(t)
NH = N - dH # DOF for null hypothesis
NK = N - dK # DOF for periodic hypothesis
Dt = _weighted_var(t, dy)
Teff = np.sqrt(4 * np.pi * Dt)
W = fmax * Teff
if normalization == 'psd':
# 'psd' normalization is same as Baluev's z
return W * np.exp(-Z) * np.sqrt(Z)
elif normalization == 'standard':
# 'standard' normalization is Z = 2/NH * z_1
return (_gamma(NH) * W * (1 - Z) ** (0.5 * (NK - 1))
* np.sqrt(0.5 * NH * Z))
elif normalization == 'model':
# 'model' normalization is Z = 2/NK * z_2
return (_gamma(NK) * W * (1 + Z) ** (-0.5 * NK)
* np.sqrt(0.5 * NK * Z))
elif normalization == 'log':
# 'log' normalization is Z = 2/NK * z_3
return (_gamma(NK) * W * np.exp(-0.5 * Z * (NK - 0.5))
* np.sqrt(NK * np.sinh(0.5 * Z)))
else:
raise NotImplementedError("normalization={0}".format(normalization)) | [
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unt-libraries/pyuntl | pyuntl/untl_structure.py | https://github.com/unt-libraries/pyuntl/blob/f92413302897dab948aac18ee9e482ace0187bd4/pyuntl/untl_structure.py#L216-L295 | def create_form_data(self, **kwargs):
"""Create groupings of form elements."""
# Get the specified keyword arguments.
children = kwargs.get('children', [])
sort_order = kwargs.get('sort_order', None)
solr_response = kwargs.get('solr_response', None)
superuser = kwargs.get('superuser', False)
# Get the vocabularies to pull the qualifiers from.
vocabularies = self.get_vocabularies()
# Loop through all UNTL elements in the Python object.
for element in children:
# Add children that are missing from the form.
element.children = add_missing_children(
element.contained_children,
element.children,
)
# Add the form attribute to the element.
element.add_form(
vocabularies=vocabularies,
qualifier=element.qualifier,
content=element.content,
superuser=superuser,
)
# Element can contain children.
if element.form.has_children:
# If the parent has a qualifier,
# create a representative form element for the parent.
if getattr(element.form, 'qualifier_name', False):
add_parent = PARENT_FORM[element.form.qualifier_name](
content=element.qualifier,
)
# Add the parent to the list of child elements.
element.children.append(add_parent)
# Sort the elements by the index of child sort.
element.children.sort(
key=lambda obj: element.form.child_sort.index(obj.tag)
)
# Loop through the element's children (if it has any).
for child in element.children:
# Add the form attribute to the element.
child.add_form(
vocabularies=vocabularies,
qualifier=child.qualifier,
content=child.content,
parent_tag=element.tag,
superuser=superuser,
)
element_group_dict = {}
# Group related objects together.
for element in children:
# Make meta-hidden its own group.
if element.form.name == 'meta' and element.qualifier == 'hidden':
element_group_dict['hidden'] = [element]
# Element is not meta-hidden.
else:
# Make sure the dictionary key exists.
if element.form.name not in element_group_dict:
element_group_dict[element.form.name] = []
element_group_dict[element.form.name].append(element)
# If the hidden meta element doesn't exist, add it to its own group.
if 'hidden' not in element_group_dict:
hidden_element = PYUNTL_DISPATCH['meta'](
qualifier='hidden',
content='False')
hidden_element.add_form(
vocabularies=vocabularies,
qualifier=hidden_element.qualifier,
content=hidden_element.content,
superuser=superuser,
)
element_group_dict['hidden'] = [hidden_element]
# Create a list of group object elements.
element_list = self.create_form_groupings(
vocabularies,
solr_response,
element_group_dict,
sort_order,
)
# Return the list of UNTL elements with form data added.
return element_list | [
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hvac/hvac | hvac/api/system_backend/key.py | https://github.com/hvac/hvac/blob/cce5b86889193f622c2a72a4a1b7e1c9c8aff1ce/hvac/api/system_backend/key.py#L156-L213 | def start_rekey(self, secret_shares=5, secret_threshold=3, pgp_keys=None, backup=False, require_verification=False, recovery_key=False):
"""Initializes a new rekey attempt.
Only a single recovery key rekeyattempt can take place at a time, and changing the parameters of a rekey
requires canceling and starting a new rekey, which will also provide a new nonce.
Supported methods:
PUT: /sys/rekey/init. Produces: 204 (empty body)
PUT: /sys/rekey-recovery-key/init. Produces: 204 (empty body)
:param secret_shares: Specifies the number of shares to split the master key into.
:type secret_shares: int
:param secret_threshold: Specifies the number of shares required to reconstruct the master key. This must be
less than or equal to secret_shares.
:type secret_threshold: int
:param pgp_keys: Specifies an array of PGP public keys used to encrypt the output unseal keys. Ordering is
preserved. The keys must be base64-encoded from their original binary representation. The size of this array
must be the same as secret_shares.
:type pgp_keys: list
:param backup: Specifies if using PGP-encrypted keys, whether Vault should also store a plaintext backup of the
PGP-encrypted keys at core/unseal-keys-backup in the physical storage backend. These can then be retrieved
and removed via the sys/rekey/backup endpoint.
:type backup: bool
:param require_verification: This turns on verification functionality. When verification is turned on, after
successful authorization with the current unseal keys, the new unseal keys are returned but the master key
is not actually rotated. The new keys must be provided to authorize the actual rotation of the master key.
This ensures that the new keys have been successfully saved and protects against a risk of the keys being
lost after rotation but before they can be persisted. This can be used with without pgp_keys, and when used
with it, it allows ensuring that the returned keys can be successfully decrypted before committing to the
new shares, which the backup functionality does not provide.
:param recovery_key: If true, send requests to "rekey-recovery-key" instead of "rekey" api path.
:type recovery_key: bool
:type require_verification: bool
:return: The JSON dict of the response.
:rtype: dict | request.Response
"""
params = {
'secret_shares': secret_shares,
'secret_threshold': secret_threshold,
'require_verification': require_verification,
}
if pgp_keys:
if len(pgp_keys) != secret_shares:
raise ParamValidationError('length of pgp_keys argument must equal secret shares value')
params['pgp_keys'] = pgp_keys
params['backup'] = backup
api_path = '/v1/sys/rekey/init'
if recovery_key:
api_path = '/v1/sys/rekey-recovery-key/init'
response = self._adapter.put(
url=api_path,
json=params,
)
return response.json() | [
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PUT: /sys/rekey/init. Produces: 204 (empty body)
PUT: /sys/rekey-recovery-key/init. Produces: 204 (empty body)
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:type pgp_keys: list
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:param require_verification: This turns on verification functionality. When verification is turned on, after
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This ensures that the new keys have been successfully saved and protects against a risk of the keys being
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:param recovery_key: If true, send requests to "rekey-recovery-key" instead of "rekey" api path.
:type recovery_key: bool
:type require_verification: bool
:return: The JSON dict of the response.
:rtype: dict | request.Response | [
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] | python | train |
chriskuehl/identify | identify/identify.py | https://github.com/chriskuehl/identify/blob/27ff23a3a5a08fb46e7eac79c393c1d678b4217a/identify/identify.py#L165-L173 | def parse_shebang_from_file(path):
"""Parse the shebang given a file path."""
if not os.path.lexists(path):
raise ValueError('{} does not exist.'.format(path))
if not os.access(path, os.X_OK):
return ()
with open(path, 'rb') as f:
return parse_shebang(f) | [
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