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yymao/generic-catalog-reader | GCR/base.py | BaseGenericCatalog.add_quantity_modifier | def add_quantity_modifier(self, quantity, modifier, overwrite=False):
"""
Add a quantify modifier.
Consider useing the high-level function `add_derived_quantity` instead!
Parameters
----------
quantity : str
name of the derived quantity to add
modifi... | python | def add_quantity_modifier(self, quantity, modifier, overwrite=False):
"""
Add a quantify modifier.
Consider useing the high-level function `add_derived_quantity` instead!
Parameters
----------
quantity : str
name of the derived quantity to add
modifi... | [
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yymao/generic-catalog-reader | GCR/base.py | BaseGenericCatalog.get_normalized_quantity_modifier | def get_normalized_quantity_modifier(self, quantity):
"""
Retrive a quantify modifier, normalized.
This function would also return a tuple, with the first item a callable,
and the rest native quantity names
Parameters
----------
quantity : str
name of... | python | def get_normalized_quantity_modifier(self, quantity):
"""
Retrive a quantify modifier, normalized.
This function would also return a tuple, with the first item a callable,
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Parameters
----------
quantity : str
name of... | [
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yymao/generic-catalog-reader | GCR/base.py | BaseGenericCatalog.add_derived_quantity | def add_derived_quantity(self, derived_quantity, func, *quantities):
"""
Add a derived quantify modifier.
Parameters
----------
derived_quantity : str
name of the derived quantity to be added
func : callable
function to calculate the derived quan... | python | def add_derived_quantity(self, derived_quantity, func, *quantities):
"""
Add a derived quantify modifier.
Parameters
----------
derived_quantity : str
name of the derived quantity to be added
func : callable
function to calculate the derived quan... | [
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yymao/generic-catalog-reader | GCR/base.py | BaseGenericCatalog.add_modifier_on_derived_quantities | def add_modifier_on_derived_quantities(self, new_quantity, func, *quantities):
"""
Deprecated. Use `add_derived_quantity` instead.
"""
warnings.warn("Use `add_derived_quantity` instead.", DeprecationWarning)
self.add_derived_quantity(new_quantity, func, *quantities) | python | def add_modifier_on_derived_quantities(self, new_quantity, func, *quantities):
"""
Deprecated. Use `add_derived_quantity` instead.
"""
warnings.warn("Use `add_derived_quantity` instead.", DeprecationWarning)
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brutus/wdiffhtml | wdiffhtml/utils.py | check_for_wdiff | def check_for_wdiff():
"""
Checks if the `wdiff` command can be found.
Raises:
WdiffNotFoundError: if ``wdiff`` is not found.
"""
cmd = ['which', CMD_WDIFF]
DEVNULL = open(os.devnull, 'wb')
proc = sub.Popen(cmd, stdout=DEVNULL)
proc.wait()
DEVNULL.close()
if proc.returncode != 0:
msg = "t... | python | def check_for_wdiff():
"""
Checks if the `wdiff` command can be found.
Raises:
WdiffNotFoundError: if ``wdiff`` is not found.
"""
cmd = ['which', CMD_WDIFF]
DEVNULL = open(os.devnull, 'wb')
proc = sub.Popen(cmd, stdout=DEVNULL)
proc.wait()
DEVNULL.close()
if proc.returncode != 0:
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brutus/wdiffhtml | wdiffhtml/utils.py | generate_wdiff | def generate_wdiff(org_file, new_file, fold_tags=False, html=True):
"""
Returns the results from the `wdiff` command as a string.
HTML `<ins>` and `<del>` tags will be used instead of the default markings,
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If *fold_tags* is set, `<ins>` and `<del>` tags are allowed to span l... | python | def generate_wdiff(org_file, new_file, fold_tags=False, html=True):
"""
Returns the results from the `wdiff` command as a string.
HTML `<ins>` and `<del>` tags will be used instead of the default markings,
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mesbahamin/chronophore | chronophore/tkview.py | TkUserTypeSelectionDialog.body | def body(self, master):
"""Create dialog body. Return widget that should have initial
focus.
Inherited from tkinter.simpledialog.Dialog
"""
self.frame = ttk.Frame(master, padding=(5, 5, 10, 10))
self.lbl_message = ttk.Label(
self.frame,
text='Sel... | python | def body(self, master):
"""Create dialog body. Return widget that should have initial
focus.
Inherited from tkinter.simpledialog.Dialog
"""
self.frame = ttk.Frame(master, padding=(5, 5, 10, 10))
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mesbahamin/chronophore | chronophore/tkview.py | TkUserTypeSelectionDialog.apply | def apply(self):
"""Inherited from tkinter.simpledialog.Dialog"""
user_type = self.rb_choice.get()
if user_type == 'student' or user_type == 'tutor':
self.result = user_type | python | def apply(self):
"""Inherited from tkinter.simpledialog.Dialog"""
user_type = self.rb_choice.get()
if user_type == 'student' or user_type == 'tutor':
self.result = user_type | [
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mesbahamin/chronophore | chronophore/controller.py | flag_forgotten_entries | def flag_forgotten_entries(session, today=None):
"""Flag any entries from previous days where users forgot to sign
out.
:param session: SQLAlchemy session through which to access the database.
:param today: (optional) The current date as a `datetime.date` object. Used for testing.
""" # noqa
to... | python | def flag_forgotten_entries(session, today=None):
"""Flag any entries from previous days where users forgot to sign
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:param session: SQLAlchemy session through which to access the database.
:param today: (optional) The current date as a `datetime.date` object. Used for testing.
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mesbahamin/chronophore | chronophore/controller.py | signed_in_users | def signed_in_users(session=None, today=None, full_name=True):
"""Return list of names of currently signed in users.
:param session: SQLAlchemy session through which to access the database.
:param today: (optional) The current date as a `datetime.date` object. Used for testing.
:param full_name: (optio... | python | def signed_in_users(session=None, today=None, full_name=True):
"""Return list of names of currently signed in users.
:param session: SQLAlchemy session through which to access the database.
:param today: (optional) The current date as a `datetime.date` object. Used for testing.
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mesbahamin/chronophore | chronophore/controller.py | get_user_name | def get_user_name(user, full_name=True):
"""Return the user's name as a string.
:param user: `models.User` object. The user to get the name of.
:param full_name: (optional) Whether to return full user name, or just first name.
:return: The user's name.
""" # noqa
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... | python | def get_user_name(user, full_name=True):
"""Return the user's name as a string.
:param user: `models.User` object. The user to get the name of.
:param full_name: (optional) Whether to return full user name, or just first name.
:return: The user's name.
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mesbahamin/chronophore | chronophore/controller.py | sign_in | def sign_in(user, user_type=None, date=None, time_in=None):
"""Add a new entry to the timesheet.
:param user: `models.User` object. The user to sign in.
:param user_type: (optional) Specify whether user is signing in as a `'student'` or `'tutor'`.
:param date: (optional) `datetime.date` object. Specify... | python | def sign_in(user, user_type=None, date=None, time_in=None):
"""Add a new entry to the timesheet.
:param user: `models.User` object. The user to sign in.
:param user_type: (optional) Specify whether user is signing in as a `'student'` or `'tutor'`.
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mesbahamin/chronophore | chronophore/controller.py | sign_out | def sign_out(entry, time_out=None, forgot=False):
"""Sign out of an existing entry in the timesheet. If the user
forgot to sign out, flag the entry.
:param entry: `models.Entry` object. The entry to sign out.
:param time_out: (optional) `datetime.time` object. Specify the sign out time.
:param forg... | python | def sign_out(entry, time_out=None, forgot=False):
"""Sign out of an existing entry in the timesheet. If the user
forgot to sign out, flag the entry.
:param entry: `models.Entry` object. The entry to sign out.
:param time_out: (optional) `datetime.time` object. Specify the sign out time.
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mesbahamin/chronophore | chronophore/controller.py | undo_sign_in | def undo_sign_in(entry, session=None):
"""Delete a signed in entry.
:param entry: `models.Entry` object. The entry to delete.
:param session: (optional) SQLAlchemy session through which to access the database.
""" # noqa
if session is None:
session = Session()
else:
session = se... | python | def undo_sign_in(entry, session=None):
"""Delete a signed in entry.
:param entry: `models.Entry` object. The entry to delete.
:param session: (optional) SQLAlchemy session through which to access the database.
""" # noqa
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mesbahamin/chronophore | chronophore/controller.py | undo_sign_out | def undo_sign_out(entry, session=None):
"""Sign in a signed out entry.
:param entry: `models.Entry` object. The entry to sign back in.
:param session: (optional) SQLAlchemy session through which to access the database.
""" # noqa
if session is None:
session = Session()
else:
ses... | python | def undo_sign_out(entry, session=None):
"""Sign in a signed out entry.
:param entry: `models.Entry` object. The entry to sign back in.
:param session: (optional) SQLAlchemy session through which to access the database.
""" # noqa
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session = Session()
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reorx/torext | torext/gevent_wsgi.py | FormattedWSGIHandler.format_request | def format_request(self):
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... | python | def format_request(self):
"""Override for better log format
Tornado format:
[INFO 2015-03-24 11:29:57 app:521] 200 GET /static/css/lib/pure-min.css (127.0.0.1) 6.76ms
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geophysics-ubonn/crtomo_tools | lib/crtomo/configManager.py | ConfigManager.clear_measurements | def clear_measurements(self):
"""Remove all measurements from self.measurements. Reset the
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"""
keys = list(self.measurements.keys())
for key in keys:
del(self.measurements[key])
self.meas_counter = -1 | python | def clear_measurements(self):
"""Remove all measurements from self.measurements. Reset the
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"""
keys = list(self.measurements.keys())
for key in keys:
del(self.measurements[key])
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geophysics-ubonn/crtomo_tools | lib/crtomo/configManager.py | ConfigManager.add_measurements | def add_measurements(self, measurements):
"""Add new measurements to this instance
Parameters
----------
measurements: numpy.ndarray
one or more measurement sets. It must either be 1D or 2D, with the
first dimension the number of measurement sets (K), and the sec... | python | def add_measurements(self, measurements):
"""Add new measurements to this instance
Parameters
----------
measurements: numpy.ndarray
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geophysics-ubonn/crtomo_tools | lib/crtomo/configManager.py | ConfigManager.gen_all_voltages_for_injections | def gen_all_voltages_for_injections(self, injections_raw):
"""For a given set of current injections AB, generate all possible
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After Noel and Xu, 1991, for N electrodes, the number of possible
voltage dipoles for a given current dipole is :math:`(N - 2)(N -... | python | def gen_all_voltages_for_injections(self, injections_raw):
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geophysics-ubonn/crtomo_tools | lib/crtomo/configManager.py | ConfigManager.gen_wenner | def gen_wenner(self, a):
"""Generate Wenner measurement configurations.
Parameters
----------
a: int
distance (in electrodes) between subsequent electrodes of each
four-point configuration.
Returns
-------
configs: Kx4 numpy.ndarray
... | python | def gen_wenner(self, a):
"""Generate Wenner measurement configurations.
Parameters
----------
a: int
distance (in electrodes) between subsequent electrodes of each
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Returns
-------
configs: Kx4 numpy.ndarray
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geophysics-ubonn/crtomo_tools | lib/crtomo/configManager.py | ConfigManager.gen_reciprocals | def gen_reciprocals(self, quadrupoles):
"""For a given set of quadrupoles, generate and return reciprocals
"""
reciprocals = quadrupoles[:, ::-1].copy()
reciprocals[:, 0:2] = np.sort(reciprocals[:, 0:2], axis=1)
reciprocals[:, 2:4] = np.sort(reciprocals[:, 2:4], axis=1)
r... | python | def gen_reciprocals(self, quadrupoles):
"""For a given set of quadrupoles, generate and return reciprocals
"""
reciprocals = quadrupoles[:, ::-1].copy()
reciprocals[:, 0:2] = np.sort(reciprocals[:, 0:2], axis=1)
reciprocals[:, 2:4] = np.sort(reciprocals[:, 2:4], axis=1)
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geophysics-ubonn/crtomo_tools | lib/crtomo/configManager.py | ConfigManager.compute_K_factors | def compute_K_factors(self, spacing=None, configs=None, numerical=False,
elem_file=None, elec_file=None):
"""Compute analytical geometrical factors.
TODO: use real electrode positions from self.grid
"""
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"""Compute analytical geometrical factors.
TODO: use real electrode positions from self.grid
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NJDFan/ctypes-bitfield | bitfield/walk.py | _createunbound | def _createunbound(kls, **info):
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geophysics-ubonn/crtomo_tools | src/grid_translate_model.py | _almost_equal | def _almost_equal(a, b):
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pgxcentre/geneparse | geneparse/core.py | Variant.complement_alleles | def complement_alleles(self):
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aglie/meerkat | meerkat/det2lab_xds.py | rotvec2mat | def rotvec2mat(u, phi):
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self._key = key
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# type: () -> Text
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althonos/moclo | moclo/moclo/core/vectors.py | AbstractVector.placeholder_sequence | def placeholder_sequence(self):
# type: () -> SeqRecord
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althonos/moclo | moclo/moclo/core/vectors.py | AbstractVector.target_sequence | def target_sequence(self):
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"""
if self.cutter.is_3overhang():
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# type: () -> SeqRecord
"""Get the target sequence in the vector.
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"""
if self.cutter.is_3overhang():
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althonos/moclo | moclo/moclo/core/vectors.py | AbstractVector.assemble | def assemble(self, module, *modules, **kwargs):
# type: (AbstractModule, *AbstractModule, **Any) -> SeqRecord
"""Assemble the provided modules into the vector.
Arguments:
module (`~moclo.base.modules.AbstractModule`): a module to insert
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# type: (AbstractModule, *AbstractModule, **Any) -> SeqRecord
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eventifyio/eventify | eventify/drivers/base.py | BaseComponent.onConnect | async def onConnect(self):
"""
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"""
# Add extra attribute
# This allows for following crossbar/autobahn spec
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if not hasattr(self.config, 'extra'):
original_config = {'config': self.config}
... | python | async def onConnect(self):
"""
Configure the component
"""
# Add extra attribute
# This allows for following crossbar/autobahn spec
# without changing legacy configuration
if not hasattr(self.config, 'extra'):
original_config = {'config': self.config}
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peterbe/gg | gg/builtins/getback/gg_getback.py | getback | def getback(config, force=False):
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nhfruchter/pgh-bustime | pghbustime/datatypes.py | Bus.get | def get(_class, api, vid):
"""
Return a Bus object for a certain vehicle ID `vid` using API
instance `api`.
"""
busses = api.vehicles(vid=vid)['vehicle']
return _class.fromapi(api, api.vehicles(vid=vid)['vehicle']) | python | def get(_class, api, vid):
"""
Return a Bus object for a certain vehicle ID `vid` using API
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"""
busses = api.vehicles(vid=vid)['vehicle']
return _class.fromapi(api, api.vehicles(vid=vid)['vehicle']) | [
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nhfruchter/pgh-bustime | pghbustime/datatypes.py | Bus.fromapi | def fromapi(_class, api, apiresponse):
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"""
Return a Bus object from an API response dict.
"""
bus = apiresponse
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nhfruchter/pgh-bustime | pghbustime/datatypes.py | Bus.update | def update(self):
"""Update this bus by creating a new one and transplanting dictionaries."""
vehicle = self.api.vehicles(vid=self.vid)['vehicle']
newbus = self.fromapi(self.api, vehicle)
self.__dict__ = newbus.__dict__
del newbus | python | def update(self):
"""Update this bus by creating a new one and transplanting dictionaries."""
vehicle = self.api.vehicles(vid=self.vid)['vehicle']
newbus = self.fromapi(self.api, vehicle)
self.__dict__ = newbus.__dict__
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nhfruchter/pgh-bustime | pghbustime/datatypes.py | Bus.predictions | def predictions(self):
"""Generator that yields prediction objects from an API response."""
for prediction in self.api.predictions(vid=self.vid)['prd']:
pobj = Prediction.fromapi(self.api, prediction)
pobj._busobj = self
yield pobj | python | def predictions(self):
"""Generator that yields prediction objects from an API response."""
for prediction in self.api.predictions(vid=self.vid)['prd']:
pobj = Prediction.fromapi(self.api, prediction)
pobj._busobj = self
yield pobj | [
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nhfruchter/pgh-bustime | pghbustime/datatypes.py | Bus.next_stop | def next_stop(self):
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p = self.api.predictions(vid=self.vid)['prd']
pobj = Prediction.fromapi(self.api, p[0])
pobj._busobj = self
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"""Return the next stop for this bus."""
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pobj._busobj = self
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nhfruchter/pgh-bustime | pghbustime/datatypes.py | Route.get | def get(_class, api, rt):
"""
Return a Route object for route `rt` using API instance `api`.
"""
if not _class.all_routes:
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"""
Return a Route object for route `rt` using API instance `api`.
"""
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gebn/wood | wood/__init__.py | _normalise_path | def _normalise_path(path: Union[str, pathlib.Path]) -> pathlib.Path:
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gebn/wood | wood/__init__.py | root | def root(path: Union[str, pathlib.Path]) -> _Root:
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gebn/wood | wood/__init__.py | entity | def entity(path: Union[str, pathlib.Path]) -> _Entity:
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edx/edx-celeryutils | celery_utils/tasks.py | mark_resolved | def mark_resolved(task_id):
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Mark the specified task as resolved in the FailedTask table.
If more than one record exists with the specified task id, they will all be
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"""
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"""
Mark the specified task as resolved in the FailedTask table.
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Iter edges connected from outside of this unit
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Iter edges connected from outside of this unit
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reorx/torext | torext/app.py | _guess_caller | def _guess_caller():
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255BITS/hyperchamber | examples/shared/variational_autoencoder.py | xavier_init | def xavier_init(fan_in, fan_out, constant=1):
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low = -constant*np.sqrt(6.0/(fan_in + fan_out))
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255BITS/hyperchamber | examples/shared/variational_autoencoder.py | VariationalAutoencoder.partial_fit | def partial_fit(self, X):
"""Train model based on mini-batch of input data.
Return cost of mini-batch.
"""
opt, cost = self.sess.run((self.optimizer, self.cost),
feed_dict={self.x: X})
return cost | python | def partial_fit(self, X):
"""Train model based on mini-batch of input data.
Return cost of mini-batch.
"""
opt, cost = self.sess.run((self.optimizer, self.cost),
feed_dict={self.x: X})
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255BITS/hyperchamber | examples/shared/variational_autoencoder.py | VariationalAutoencoder.transform | def transform(self, X):
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"""Transform data by mapping it into the latent space."""
# Note: This maps to mean of distribution, we could alternatively
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255BITS/hyperchamber | examples/shared/variational_autoencoder.py | VariationalAutoencoder.generate | def generate(self, z_mu=None):
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"""
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255BITS/hyperchamber | examples/shared/variational_autoencoder.py | VariationalAutoencoder.reconstruct | def reconstruct(self, X):
""" Use VAE to reconstruct given data. """
return self.sess.run(self.x_reconstr_mean,
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geophysics-ubonn/crtomo_tools | src/cr_trig_parse_gmsh.py | get_ajd_bound | def get_ajd_bound(mesh):
"""
Determine triangular elements adjacend to the boundary elements
"""
print('Get elements adjacent to boundaries')
boundary_elements = []
str_adj_boundaries = ''
# for boundary in mesh['elements']['1']:
boundaries = mesh['boundaries']['12'] + mesh['boundaries']... | python | def get_ajd_bound(mesh):
"""
Determine triangular elements adjacend to the boundary elements
"""
print('Get elements adjacent to boundaries')
boundary_elements = []
str_adj_boundaries = ''
# for boundary in mesh['elements']['1']:
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geophysics-ubonn/crtomo_tools | src/cr_trig_parse_gmsh.py | write_elec_file | def write_elec_file(filename, mesh):
"""
Read in the electrode positions and return the indices of the electrodes
# TODO: Check if you find all electrodes
"""
elecs = []
# print('Write electrodes')
electrodes = np.loadtxt(filename)
for i in electrodes:
# find
for nr, j i... | python | def write_elec_file(filename, mesh):
"""
Read in the electrode positions and return the indices of the electrodes
# TODO: Check if you find all electrodes
"""
elecs = []
# print('Write electrodes')
electrodes = np.loadtxt(filename)
for i in electrodes:
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thiagopbueno/tf-rddlsim | tfrddlsim/simulation/policy_simulator.py | PolicySimulationCell.state_size | def state_size(self) -> Sequence[Shape]:
'''Returns the MDP state size.'''
return self._sizes(self._compiler.rddl.state_size) | python | def state_size(self) -> Sequence[Shape]:
'''Returns the MDP state size.'''
return self._sizes(self._compiler.rddl.state_size) | [
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thiagopbueno/tf-rddlsim | tfrddlsim/simulation/policy_simulator.py | PolicySimulationCell.action_size | def action_size(self) -> Sequence[Shape]:
'''Returns the MDP action size.'''
return self._sizes(self._compiler.rddl.action_size) | python | def action_size(self) -> Sequence[Shape]:
'''Returns the MDP action size.'''
return self._sizes(self._compiler.rddl.action_size) | [
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thiagopbueno/tf-rddlsim | tfrddlsim/simulation/policy_simulator.py | PolicySimulationCell.interm_size | def interm_size(self) -> Sequence[Shape]:
'''Returns the MDP intermediate state size.'''
return self._sizes(self._compiler.rddl.interm_size) | python | def interm_size(self) -> Sequence[Shape]:
'''Returns the MDP intermediate state size.'''
return self._sizes(self._compiler.rddl.interm_size) | [
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thiagopbueno/tf-rddlsim | tfrddlsim/simulation/policy_simulator.py | PolicySimulationCell.output_size | def output_size(self) -> Tuple[Sequence[Shape], Sequence[Shape], Sequence[Shape], int]:
'''Returns the simulation cell output size.'''
return (self.state_size, self.action_size, self.interm_size, 1) | python | def output_size(self) -> Tuple[Sequence[Shape], Sequence[Shape], Sequence[Shape], int]:
'''Returns the simulation cell output size.'''
return (self.state_size, self.action_size, self.interm_size, 1) | [
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thiagopbueno/tf-rddlsim | tfrddlsim/simulation/policy_simulator.py | PolicySimulationCell.initial_state | def initial_state(self) -> StateTensor:
'''Returns the initial state tensor.'''
s0 = []
for fluent in self._compiler.compile_initial_state(self._batch_size):
s0.append(self._output_size(fluent))
s0 = tuple(s0)
return s0 | python | def initial_state(self) -> StateTensor:
'''Returns the initial state tensor.'''
s0 = []
for fluent in self._compiler.compile_initial_state(self._batch_size):
s0.append(self._output_size(fluent))
s0 = tuple(s0)
return s0 | [
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