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mattja/nsim | nsim/analyses1/phase.py | periods | def periods(ts, phi=0.0):
"""For a single variable timeseries representing the phase of an oscillator,
measure the period of each successive oscillation.
An individual oscillation is defined to start and end when the phase
passes phi (by default zero) after completing a full cycle.
If the timeser... | python | def periods(ts, phi=0.0):
"""For a single variable timeseries representing the phase of an oscillator,
measure the period of each successive oscillation.
An individual oscillation is defined to start and end when the phase
passes phi (by default zero) after completing a full cycle.
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mattja/nsim | nsim/analyses1/phase.py | circmean | def circmean(ts, axis=2):
"""Circular mean phase"""
return np.exp(1.0j * ts).mean(axis=axis).angle() | python | def circmean(ts, axis=2):
"""Circular mean phase"""
return np.exp(1.0j * ts).mean(axis=axis).angle() | [
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mattja/nsim | nsim/analyses1/phase.py | order_param | def order_param(ts, axis=2):
"""Order parameter of phase synchronization"""
return np.abs(np.exp(1.0j * ts).mean(axis=axis)) | python | def order_param(ts, axis=2):
"""Order parameter of phase synchronization"""
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mattja/nsim | nsim/analyses1/_cwtmorlet.py | cwtmorlet | def cwtmorlet(points, width):
"""complex morlet wavelet function compatible with scipy.signal.cwt
Parameters: points: int
Number of points in `vector`.
width: scalar
Width parameter of wavelet.
Equals (sample rate / fundamental frequenc... | python | def cwtmorlet(points, width):
"""complex morlet wavelet function compatible with scipy.signal.cwt
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Number of points in `vector`.
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Width parameter of wavelet.
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mattja/nsim | nsim/analyses1/_cwtmorlet.py | roughcwt | def roughcwt(data, wavelet, widths):
"""
Continuous wavelet transform.
Performs a continuous wavelet transform on `data`,
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"""
Continuous wavelet transform.
Performs a continuous wavelet transform on `data`,
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mattja/nsim | nsim/analyses1/epochs.py | variability_fp | def variability_fp(ts, freqs=None, ncycles=6, plot=True):
"""Example variability function.
Gives two continuous, time-resolved measures of the variability of a
time series, ranging between -1 and 1.
The two measures are based on variance of the centroid frequency and
variance of the height of the ... | python | def variability_fp(ts, freqs=None, ncycles=6, plot=True):
"""Example variability function.
Gives two continuous, time-resolved measures of the variability of a
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mattja/nsim | nsim/analyses1/epochs.py | _rescale | def _rescale(ar):
"""Shift and rescale array ar to the interval [-1, 1]"""
max = np.nanmax(ar)
min = np.nanmin(ar)
midpoint = (max + min) / 2.0
return 2.0 * (ar - midpoint) / (max - min) | python | def _rescale(ar):
"""Shift and rescale array ar to the interval [-1, 1]"""
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mattja/nsim | nsim/analyses1/epochs.py | _get_color_list | def _get_color_list():
"""Get cycle of colors in a way compatible with all matplotlib versions"""
if 'axes.prop_cycle' in plt.rcParams:
return [p['color'] for p in list(plt.rcParams['axes.prop_cycle'])]
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return plt.rcParams['axes.color_cycle'] | python | def _get_color_list():
"""Get cycle of colors in a way compatible with all matplotlib versions"""
if 'axes.prop_cycle' in plt.rcParams:
return [p['color'] for p in list(plt.rcParams['axes.prop_cycle'])]
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mattja/nsim | nsim/analyses1/epochs.py | _plot_variability | def _plot_variability(ts, variability, threshold=None, epochs=None):
"""Plot the timeseries and variability. Optionally plot epochs."""
import matplotlib.style
import matplotlib as mpl
mpl.style.use('classic')
import matplotlib.pyplot as plt
if variability.ndim is 1:
variability = variab... | python | def _plot_variability(ts, variability, threshold=None, epochs=None):
"""Plot the timeseries and variability. Optionally plot epochs."""
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import matplotlib.pyplot as plt
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mattja/nsim | nsim/analyses1/epochs.py | epochs | def epochs(ts, variability=None, threshold=0.0, minlength=1.0, plot=True):
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continuous measure of variability.
Epochs are defined to contain the points of minimal variability, and to
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mattja/nsim | nsim/analyses1/epochs.py | epochs_distributed | def epochs_distributed(ts, variability=None, threshold=0.0, minlength=1.0,
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mattja/nsim | nsim/analyses1/epochs.py | epochs_joint | def epochs_joint(ts, variability=None, threshold=0.0, minlength=1.0,
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mattja/nsim | nsim/analyses1/plots.py | plot | def plot(ts, title=None, show=True):
"""Plot a Timeseries
Args:
ts Timeseries
title str
show bool whether to display the figure or just return a figure object
"""
ts = _remove_pi_crossings(ts)
fig = plt.figure()
ylabelprops = dict(rotation=0,
hor... | python | def plot(ts, title=None, show=True):
"""Plot a Timeseries
Args:
ts Timeseries
title str
show bool whether to display the figure or just return a figure object
"""
ts = _remove_pi_crossings(ts)
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mattja/nsim | nsim/analyses1/plots.py | _remove_pi_crossings | def _remove_pi_crossings(ts):
"""For each variable in the Timeseries, checks whether it represents
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phase crosses pi to 'nan' so that spurious lines will not be plotted.
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Otherwis... | python | def _remove_pi_crossings(ts):
"""For each variable in the Timeseries, checks whether it represents
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mattja/nsim | nsim/readfile.py | timeseries_from_mat | def timeseries_from_mat(filename, varname=None, fs=1.0):
"""load a multi-channel Timeseries from a MATLAB .mat file
Args:
filename (str): .mat file to load
varname (str): variable name. only needed if there is more than one
variable saved in the .mat file
fs (scalar): sample rate of t... | python | def timeseries_from_mat(filename, varname=None, fs=1.0):
"""load a multi-channel Timeseries from a MATLAB .mat file
Args:
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mattja/nsim | nsim/readfile.py | save_mat | def save_mat(ts, filename):
"""save a Timeseries to a MATLAB .mat file
Args:
ts (Timeseries): the timeseries to save
filename (str): .mat filename to save to
"""
import scipy.io as sio
tspan = ts.tspan
fs = (1.0*len(tspan) - 1) / (tspan[-1] - tspan[0])
mat_dict = {'data': np.asar... | python | def save_mat(ts, filename):
"""save a Timeseries to a MATLAB .mat file
Args:
ts (Timeseries): the timeseries to save
filename (str): .mat filename to save to
"""
import scipy.io as sio
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mattja/nsim | nsim/readfile.py | timeseries_from_file | def timeseries_from_file(filename):
"""Load a multi-channel Timeseries from any file type supported by `biosig`
Supported file formats include EDF/EDF+, BDF/BDF+, EEG, CNT and GDF.
Full list is here: http://pub.ist.ac.at/~schloegl/biosig/TESTED
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"""Load a multi-channel Timeseries from any file type supported by `biosig`
Supported file formats include EDF/EDF+, BDF/BDF+, EEG, CNT and GDF.
Full list is here: http://pub.ist.ac.at/~schloegl/biosig/TESTED
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mattja/nsim | nsim/readfile.py | _load_edflib | def _load_edflib(filename):
"""load a multi-channel Timeseries from an EDF (European Data Format) file
or EDF+ file, using edflib.
Args:
filename: EDF+ file
Returns:
Timeseries
"""
import edflib
e = edflib.EdfReader(filename, annotations_mode='all')
if np.ptp(e.get_samples_... | python | def _load_edflib(filename):
"""load a multi-channel Timeseries from an EDF (European Data Format) file
or EDF+ file, using edflib.
Args:
filename: EDF+ file
Returns:
Timeseries
"""
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mattja/nsim | nsim/readfile.py | annotations_from_file | def annotations_from_file(filename):
"""Get a list of event annotations from an EDF (European Data Format file
or EDF+ file, using edflib.
Args:
filename: EDF+ file
Returns:
list: annotation events, each in the form [start_time, duration, text]
"""
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e = edflib.EdfR... | python | def annotations_from_file(filename):
"""Get a list of event annotations from an EDF (European Data Format file
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filename: EDF+ file
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mattja/nsim | nsim/nsim.py | _ufunc_wrap | def _ufunc_wrap(out_arr, ufunc, method, i, inputs, **kwargs):
"""After using the superclass __numpy_ufunc__ to route ufunc computations
on the array data, convert any resulting ndarray, RemoteArray and DistArray
instances into Timeseries, RemoteTimeseries and DistTimeseries instances
if appropriate"""
... | python | def _ufunc_wrap(out_arr, ufunc, method, i, inputs, **kwargs):
"""After using the superclass __numpy_ufunc__ to route ufunc computations
on the array data, convert any resulting ndarray, RemoteArray and DistArray
instances into Timeseries, RemoteTimeseries and DistTimeseries instances
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mattja/nsim | nsim/nsim.py | _rts_from_ra | def _rts_from_ra(ra, tspan, labels, block=True):
"""construct a RemoteTimeseries from a RemoteArray"""
def _convert(a, tspan, labels):
from nsim import Timeseries
return Timeseries(a, tspan, labels)
return distob.call(
_convert, ra, tspan, labels, prefer_local=False, block=block) | python | def _rts_from_ra(ra, tspan, labels, block=True):
"""construct a RemoteTimeseries from a RemoteArray"""
def _convert(a, tspan, labels):
from nsim import Timeseries
return Timeseries(a, tspan, labels)
return distob.call(
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mattja/nsim | nsim/nsim.py | _dts_from_da | def _dts_from_da(da, tspan, labels):
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mattja/nsim | nsim/nsim.py | newsim | def newsim(f, G, y0, name='NewModel', modelType=ItoModel, T=60.0, dt=0.005, repeat=1, identical=True):
"""Make a simulation of the system defined by functions f and G.
dy = f(y,t)dt + G(y,t).dW with initial condition y0
This helper function is for convenience, making it easy to define
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"""Make a simulation of the system defined by functions f and G.
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mattja/nsim | nsim/nsim.py | newmodel | def newmodel(f, G, y0, name='NewModel', modelType=ItoModel):
"""Use the functions f and G to define a new Model class for simulations.
It will take functions f and G from global scope and make a new Model class
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mattja/nsim | nsim/nsim.py | __clone_function | def __clone_function(f, name=None):
"""Make a new version of a function that has its own independent copy
of any globals that it uses directly, and has its own name.
All other attributes are assigned from the original function.
Args:
f: the function to clone
name (str): the name for the ... | python | def __clone_function(f, name=None):
"""Make a new version of a function that has its own independent copy
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mattja/nsim | nsim/nsim.py | DistTimeseries.expand_dims | def expand_dims(self, axis):
"""Insert a new axis, at a given position in the array shape
Args:
axis (int): Position (amongst axes) where new axis is to be inserted.
"""
if axis <= self._distaxis:
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"""Insert a new axis, at a given position in the array shape
Args:
axis (int): Position (amongst axes) where new axis is to be inserted.
"""
if axis <= self._distaxis:
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mattja/nsim | nsim/nsim.py | DistTimeseries.absolute | def absolute(self):
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Returns:
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Absolute value. For complex input (a + b*j) gives sqrt(a**a + b**2)
"""
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"""Calculate the absolute value element-wise.
Returns:
absolute (Timeseries):
Absolute value. For complex input (a + b*j) gives sqrt(a**a + b**2)
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mattja/nsim | nsim/nsim.py | DistTimeseries.angle | def angle(self, deg=False):
"""Return the angle of a complex Timeseries
Args:
deg (bool, optional):
Return angle in degrees if True, radians if False (default).
Returns:
angle (Timeseries):
The counterclockwise angle from the positive real axis on
... | python | def angle(self, deg=False):
"""Return the angle of a complex Timeseries
Args:
deg (bool, optional):
Return angle in degrees if True, radians if False (default).
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angle (Timeseries):
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mattja/nsim | nsim/nsim.py | NetworkModel.coupling | def coupling(self, source_y, target_y, weight):
"""How to couple the output of one subsystem to the input of another.
This is a fallback default coupling function that should usually be
replaced with your own.
This example coupling function takes the mean of all variables of the
... | python | def coupling(self, source_y, target_y, weight):
"""How to couple the output of one subsystem to the input of another.
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mattja/nsim | nsim/nsim.py | NetworkModel.f | def f(self, y, t):
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mattja/nsim | nsim/nsim.py | NetworkModel.G | def G(self, y, t):
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mattja/nsim | nsim/nsim.py | NetworkModel._scalar_to_vector | def _scalar_to_vector(self, m):
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Args:
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t0 = 0.0
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mattja/nsim | nsim/nsim.py | NetworkModel._reshape_timeseries | def _reshape_timeseries(self, ts):
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mattja/nsim | nsim/nsim.py | NetworkModel._reshape_output | def _reshape_output(self, ts):
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shp[1] = subodim
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mattja/nsim | nsim/nsim.py | Simulation.timeseries | def timeseries(self):
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if self._timeseries is None:
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self.compute()
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mattja/nsim | nsim/nsim.py | Simulation.output | def output(self):
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mattja/nsim | nsim/nsim.py | MultipleSim.output | def output(self):
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mattja/nsim | nsim/nsim.py | DistSim._tosubs | def _tosubs(self, ixlist):
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mattja/nsim | nsim/nsim.py | DistSim.output | def output(self):
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mattja/nsim | nsim/analyses1/misc.py | crossing_times | def crossing_times(ts, c=0.0, d=0.0):
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mattja/nsim | nsim/analyses1/misc.py | first_return_times | def first_return_times(ts, c=None, d=0.0):
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Roastero/freshroastsr700 | freshroastsr700/__init__.py | freshroastsr700.fan_speed | def fan_speed(self, value):
"""Verifies the value is between 1 and 9 inclusively."""
if value not in range(1, 10):
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self._fan_speed.value = value | python | def fan_speed(self, value):
"""Verifies the value is between 1 and 9 inclusively."""
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Roastero/freshroastsr700 | freshroastsr700/__init__.py | freshroastsr700.heat_setting | def heat_setting(self, value):
"""Verifies that the heat setting is between 0 and 3."""
if value not in range(0, 4):
raise exceptions.RoasterValueError
self._heat_setting.value = value | python | def heat_setting(self, value):
"""Verifies that the heat setting is between 0 and 3."""
if value not in range(0, 4):
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Roastero/freshroastsr700 | freshroastsr700/__init__.py | freshroastsr700.heater_level | def heater_level(self, value):
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Can only be called when freshroastsr700 object is initialized
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"""Verifies that the heater_level is between 0 and heater_segments.
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Roastero/freshroastsr700 | freshroastsr700/__init__.py | freshroastsr700.set_state_transition_func | def set_state_transition_func(self, func):
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freshroastsr700.auto_connect().
Set, or re-set, the state transition function callback.
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Roastero/freshroastsr700 | freshroastsr700/__init__.py | freshroastsr700.update_data_run | def update_data_run(self, event_to_wait_on):
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# with the daemon=Turue setting, this thread should
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Roastero/freshroastsr700 | freshroastsr700/__init__.py | freshroastsr700.state_transition_run | def state_transition_run(self, event_to_wait_on):
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the timer process to execute the state_transition_func callback
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# with the daemon=Turue setting, this thread should
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Roastero/freshroastsr700 | freshroastsr700/__init__.py | freshroastsr700._connect | def _connect(self):
"""Do not call this directly - call auto_connect() or connect(),
which will call _connect() for you.
Connects to the roaster and creates communication thread.
Raises a RoasterLokkupError exception if the hardware is not found.
"""
# the following call... | python | def _connect(self):
"""Do not call this directly - call auto_connect() or connect(),
which will call _connect() for you.
Connects to the roaster and creates communication thread.
Raises a RoasterLokkupError exception if the hardware is not found.
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Roastero/freshroastsr700 | freshroastsr700/__init__.py | freshroastsr700._initialize | def _initialize(self):
"""Sends the initialization packet to the roaster."""
self._header.value = b'\xAA\x55'
self._current_state.value = b'\x00\x00'
s = self._generate_packet()
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self._header.value = b'\xAA\xAA'
self._current_state.value = b'\x02... | python | def _initialize(self):
"""Sends the initialization packet to the roaster."""
self._header.value = b'\xAA\x55'
self._current_state.value = b'\x00\x00'
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Roastero/freshroastsr700 | freshroastsr700/__init__.py | freshroastsr700.connect | def connect(self):
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Check freshroastsr700.connected or freshroastsr700.connect_state
to verify result.
Raises:
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Roastero/freshroastsr700 | freshroastsr700/__init__.py | freshroastsr700._start_connect | def _start_connect(self, connect_type):
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Roastero/freshroastsr700 | freshroastsr700/__init__.py | freshroastsr700._comm | def _comm(self, thermostat=False,
kp=0.06, ki=0.0075, kd=0.01,
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Roastero/freshroastsr700 | freshroastsr700/__init__.py | freshroastsr700._timer | def _timer(self, state_transition_event=None):
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Roastero/freshroastsr700 | freshroastsr700/__init__.py | freshroastsr700.get_roaster_state | def get_roaster_state(self):
"""Returns a string based upon the current state of the roaster. Will
raise an exception if the state is unknown.
Returns:
'idle' if idle,
'sleeping' if sleeping,
'cooling' if cooling,
'roasting' if roasting,
... | python | def get_roaster_state(self):
"""Returns a string based upon the current state of the roaster. Will
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Returns:
'idle' if idle,
'sleeping' if sleeping,
'cooling' if cooling,
'roasting' if roasting,
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Roastero/freshroastsr700 | freshroastsr700/__init__.py | freshroastsr700._generate_packet | def _generate_packet(self):
"""Generates a packet based upon the current class variables. Note that
current temperature is not sent, as the original application sent zeros
to the roaster for the current temperature."""
roaster_time = utils.seconds_to_float(self._time_remaining.value)
... | python | def _generate_packet(self):
"""Generates a packet based upon the current class variables. Note that
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roaster_time = utils.seconds_to_float(self._time_remaining.value)
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Roastero/freshroastsr700 | freshroastsr700/__init__.py | heat_controller.heat_level | def heat_level(self, value):
"""Set the desired output level. Must be between 0 and
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if value < 0:
self._heat_level = 0
elif round(value) > self._num_segments:
self._heat_level = self._num_segments
else:
self._he... | python | def heat_level(self, value):
"""Set the desired output level. Must be between 0 and
number_of_segments inclusive."""
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Roastero/freshroastsr700 | freshroastsr700/__init__.py | heat_controller.generate_bangbang_output | def generate_bangbang_output(self):
"""Generates the latest on or off pulse in
the string of on (True) or off (False) pulses
according to the desired heat_level setting. Successive calls
to this function will return the next value in the
on/off array series. Call th... | python | def generate_bangbang_output(self):
"""Generates the latest on or off pulse in
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Roastero/freshroastsr700 | examples/pid_tune_aid.py | Roaster.update_data | def update_data(self):
"""This is a method that will be called every time a packet is opened
from the roaster."""
time_elapsed = datetime.datetime.now() - self.start_time
crntTemp = self.roaster.current_temp
targetTemp = self.roaster.target_temp
heaterLevel = self.roaster... | python | def update_data(self):
"""This is a method that will be called every time a packet is opened
from the roaster."""
time_elapsed = datetime.datetime.now() - self.start_time
crntTemp = self.roaster.current_temp
targetTemp = self.roaster.target_temp
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Roastero/freshroastsr700 | examples/pid_tune_aid.py | Roaster.next_state | def next_state(self):
"""This is a method that will be called when the time remaining ends.
The current state can be: roasting, cooling, idle, sleeping, connecting,
or unkown."""
self.active_recipe_item += 1
if self.active_recipe_item >= len(self.recipe):
# we're done... | python | def next_state(self):
"""This is a method that will be called when the time remaining ends.
The current state can be: roasting, cooling, idle, sleeping, connecting,
or unkown."""
self.active_recipe_item += 1
if self.active_recipe_item >= len(self.recipe):
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for result in self._results:
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self.failed_providers.append(provider)
continue
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""" Process results by providers """
for result in self._results:
provider = result.provider
self.providers.append(provider)
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self.failed_providers.append(provider)
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dmippolitov/pydnsbl | pydnsbl/checker.py | DNSBLChecker.dnsbl_request | async def dnsbl_request(self, addr, provider):
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Make lookup to dnsbl provider
Parameters:
* addr (string) - ip address to check
* provider (string) - dnsbl provider
Returns:
* DNSBLResponse object
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"""
Make lookup to dnsbl provider
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* addr (string) - ip address to check
* provider (string) - dnsbl provider
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dmippolitov/pydnsbl | pydnsbl/checker.py | DNSBLChecker._check_ip | async def _check_ip(self, addr):
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dmippolitov/pydnsbl | pydnsbl/checker.py | DNSBLChecker.check_ips | def check_ips(self, addrs):
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Roastero/freshroastsr700 | freshroastsr700/utils.py | frange | def frange(start, stop, step, precision):
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Roastero/freshroastsr700 | freshroastsr700/utils.py | find_device | def find_device(vidpid):
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Roastero/freshroastsr700 | freshroastsr700/pid.py | PID.update | def update(self, currentTemp, targetTemp):
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# in this implementation, ki includes the dt multiplier term,
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self.targetTemp = targ... | python | def update(self, currentTemp, targetTemp):
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Roastero/freshroastsr700 | examples/advanced.py | Roaster.next_state | def next_state(self):
"""This is a method that will be called when the time remaining ends.
The current state can be: roasting, cooling, idle, sleeping, connecting,
or unkown."""
if(self.roaster.get_roaster_state() == 'roasting'):
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... | python | def next_state(self):
"""This is a method that will be called when the time remaining ends.
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if(self.roaster.get_roaster_state() == 'roasting'):
self.roaster.time_remaining = 20
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tomislater/RandomWords | random_words/random_words.py | Random.load_nouns | def load_nouns(self, file):
"""
Load dict from file for random words.
:param str file: filename
"""
with open(os.path.join(main_dir, file + '.dat'), 'r') as f:
self.nouns = json.load(f) | python | def load_nouns(self, file):
"""
Load dict from file for random words.
:param str file: filename
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"""
Load list from file for random mails
:param str file: filename
"""
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Load list from file for random mails
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Load dict from file for random nicknames.
:param str file: filename
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Load dict from file for random nicknames.
:param str file: filename
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:param str letter: letter
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:rtype: list
:returns: list of random words
:raises: ValueError
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"""
Returns list of random words.
:param str letter: letter
:param int count: how much words
:rtype: list
:returns: list of random words
:raises: ValueError
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:param str gender: ``'f'`` for female, ``'m'`` for male and None for both
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:rtype: list
:returns: list of random n... | python | def random_nicks(self, letter=None, gender='u', count=1):
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tomislater/RandomWords | random_words/random_words.py | RandomEmails.randomMails | def randomMails(self, count=1):
"""
Return random e-mails.
:rtype: list
:returns: list of random e-mails
"""
self.check_count(count)
random_nicks = self.rn.random_nicks(count=count)
random_domains = sample(self.dmails, count)
return [
... | python | def randomMails(self, count=1):
"""
Return random e-mails.
:rtype: list
:returns: list of random e-mails
"""
self.check_count(count)
random_nicks = self.rn.random_nicks(count=count)
random_domains = sample(self.dmails, count)
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tomislater/RandomWords | random_words/lorem_ipsum.py | LoremIpsum.get_sentences_list | def get_sentences_list(self, sentences=1):
"""
Return sentences in list.
:param int sentences: how many sentences
:returns: list of strings with sentence
:rtype: list
"""
if sentences < 1:
raise ValueError('Param "sentences" must be greater than 0.')
... | python | def get_sentences_list(self, sentences=1):
"""
Return sentences in list.
:param int sentences: how many sentences
:returns: list of strings with sentence
:rtype: list
"""
if sentences < 1:
raise ValueError('Param "sentences" must be greater than 0.')
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tomislater/RandomWords | random_words/lorem_ipsum.py | LoremIpsum.make_sentence | def make_sentence(list_words):
"""
Return a sentence from list of words.
:param list list_words: list of words
:returns: sentence
:rtype: str
"""
lw_len = len(list_words)
if lw_len > 6:
list_words.insert(lw_len // 2 + random.choice(range(-2, ... | python | def make_sentence(list_words):
"""
Return a sentence from list of words.
:param list list_words: list of words
:returns: sentence
:rtype: str
"""
lw_len = len(list_words)
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paulocheque/epub-meta | epub_meta/collector.py | _discover_cover_image | def _discover_cover_image(zf, opf_xmldoc, opf_filepath):
'''
Find the cover image path in the OPF file.
Returns a tuple: (image content in base64, file extension)
'''
content = None
filepath = None
extension = None
# Strategies to discover the cover-image path:
# e.g.: <meta name="... | python | def _discover_cover_image(zf, opf_xmldoc, opf_filepath):
'''
Find the cover image path in the OPF file.
Returns a tuple: (image content in base64, file extension)
'''
content = None
filepath = None
extension = None
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paulocheque/epub-meta | epub_meta/collector.py | _discover_toc | def _discover_toc(zf, opf_xmldoc, opf_filepath):
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'''
toc = None
# ePub 3.x
tag = find_tag(opf_xmldoc, 'item', 'properties', 'nav')
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'''
Returns a list of objects: {title: str, src: str, level: int, index: int}
'''
toc = None
# ePub 3.x
tag = find_tag(opf_xmldoc, 'item', 'properties', 'nav')
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paulocheque/epub-meta | epub_meta/collector.py | get_epub_metadata | def get_epub_metadata(filepath, read_cover_image=True, read_toc=True):
'''
References: http://idpf.org/epub/201 and http://idpf.org/epub/301
1. Parse META-INF/container.xml file and find the .OPF file path.
2. In the .OPF file, find the metadata
'''
if not zipfile.is_zipfile(filepath):
r... | python | def get_epub_metadata(filepath, read_cover_image=True, read_toc=True):
'''
References: http://idpf.org/epub/201 and http://idpf.org/epub/301
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paulocheque/epub-meta | epub_meta/collector.py | get_epub_opf_xml | def get_epub_opf_xml(filepath):
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'''
Returns the file.OPF contents of the ePub file
'''
if not zipfile.is_zipfile(filepath):
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damirazo/Petrovich | petrovich/main.py | Petrovich.firstname | def firstname(self, value, case, gender=None):
u"""
Склонение имени
:param value: Значение для склонения
:param case: Падеж для склонения (значение из класса Case)
:param gender: Грамматический род
"""
if not value:
raise ValueError('Firstname cannot ... | python | def firstname(self, value, case, gender=None):
u"""
Склонение имени
:param value: Значение для склонения
:param case: Падеж для склонения (значение из класса Case)
:param gender: Грамматический род
"""
if not value:
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damirazo/Petrovich | petrovich/main.py | Petrovich.lastname | def lastname(self, value, case, gender=None):
u"""
Склонение фамилии
:param value: Значение для склонения
:param case: Падеж для склонения (значение из класса Case)
:param gender: Грамматический род
"""
if not value:
raise ValueError('Lastname cannot ... | python | def lastname(self, value, case, gender=None):
u"""
Склонение фамилии
:param value: Значение для склонения
:param case: Падеж для склонения (значение из класса Case)
:param gender: Грамматический род
"""
if not value:
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damirazo/Petrovich | petrovich/main.py | Petrovich.middlename | def middlename(self, value, case, gender=None):
u"""
Склонение отчества
:param value: Значение для склонения
:param case: Падеж для склонения (значение из класса Case)
:param gender: Грамматический род
"""
if not value:
raise ValueError('Middlename ca... | python | def middlename(self, value, case, gender=None):
u"""
Склонение отчества
:param value: Значение для склонения
:param case: Падеж для склонения (значение из класса Case)
:param gender: Грамматический род
"""
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damirazo/Petrovich | petrovich/main.py | Petrovich.__split_name | def __split_name(self, name):
u"""
Разделяет имя на сегменты по разделителям в self.separators
:param name: имя
:return: разделённое имя вместе с разделителями
"""
def gen(name, separators):
if len(separators) == 0:
yield name
else:... | python | def __split_name(self, name):
u"""
Разделяет имя на сегменты по разделителям в self.separators
:param name: имя
:return: разделённое имя вместе с разделителями
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xigt/xigt | xigt/ref.py | expand | def expand(expression):
"""
Expand a reference expression to individual spans.
Also works on space-separated ID lists, although a sequence of space
characters will be considered a delimiter.
>>> expand('a1')
'a1'
>>> expand('a1[3:5]')
'a1[3:5]'
>>> expand('a1[3:5+6:7]')
'a1[3:5]... | python | def expand(expression):
"""
Expand a reference expression to individual spans.
Also works on space-separated ID lists, although a sequence of space
characters will be considered a delimiter.
>>> expand('a1')
'a1'
>>> expand('a1[3:5]')
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>>> expand('a1[3:5+6:7]')
'a1[3:5]... | [
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xigt/xigt | xigt/ref.py | compress | def compress(expression):
"""
Compress a reference expression to group spans on the same id.
Also works on space-separated ID lists, although a sequence of space
characters will be considered a delimiter.
>>> compress('a1')
'a1'
>>> compress('a1[3:5]')
'a1[3:5]'
>>> compress('a1[3:5... | python | def compress(expression):
"""
Compress a reference expression to group spans on the same id.
Also works on space-separated ID lists, although a sequence of space
characters will be considered a delimiter.
>>> compress('a1')
'a1'
>>> compress('a1[3:5]')
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>>> compress('a1[3:5... | [
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xigt/xigt | xigt/ref.py | selections | def selections(expression, keep_delimiters=True):
"""
Split the expression into individual selection expressions. The
delimiters will be kept as separate items if keep_delimters=True.
Also works on space-separated ID lists, although a sequence of space
characters will be considered a delimiter.
... | python | def selections(expression, keep_delimiters=True):
"""
Split the expression into individual selection expressions. The
delimiters will be kept as separate items if keep_delimters=True.
Also works on space-separated ID lists, although a sequence of space
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xigt/xigt | xigt/ref.py | resolve | def resolve(container, expression):
"""
Return the string that is the resolution of the alignment expression
`expression`, which selects ids from `container`.
"""
itemgetter = getattr(container, 'get_item', container.get)
tokens = []
expression = expression.strip()
for sel_delim, _id, _r... | python | def resolve(container, expression):
"""
Return the string that is the resolution of the alignment expression
`expression`, which selects ids from `container`.
"""
itemgetter = getattr(container, 'get_item', container.get)
tokens = []
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xigt/xigt | xigt/ref.py | referents | def referents(igt, id, refattrs=None):
"""
Return a list of ids denoting objects (tiers or items) in `igt` that
are referred by the object denoted by `id` using a reference
attribute in `refattrs`. If `refattrs` is None, then consider all
known reference attributes for the type of object denoted by ... | python | def referents(igt, id, refattrs=None):
"""
Return a list of ids denoting objects (tiers or items) in `igt` that
are referred by the object denoted by `id` using a reference
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xigt/xigt | xigt/ref.py | referrers | def referrers(igt, id, refattrs=None):
"""
Return a list of ids denoting objects (tiers or items) in `igt` that
refer to the given `id`. In other words, if 'b1' refers to 'a1',
then `referrers(igt, 'a1')` returns `['b1']`.
"""
if refattrs is None:
result = {}
else:
result = {... | python | def referrers(igt, id, refattrs=None):
"""
Return a list of ids denoting objects (tiers or items) in `igt` that
refer to the given `id`. In other words, if 'b1' refers to 'a1',
then `referrers(igt, 'a1')` returns `['b1']`.
"""
if refattrs is None:
result = {}
else:
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xigt/xigt | xigt/query.py | ancestors | def ancestors(obj, refattrs=(ALIGNMENT, SEGMENTATION)):
"""
>>> for anc in query.ancestors(igt.get_item('g1'), refattrs=(ALIGNMENT, SEGMENTATION)):
... print(anc)
(<Tier object (id: g type: glosses) at ...>, 'alignment', <Tier object (id: m type: morphemes) at ...>, [<Item object (id: m1) at ...>])
... | python | def ancestors(obj, refattrs=(ALIGNMENT, SEGMENTATION)):
"""
>>> for anc in query.ancestors(igt.get_item('g1'), refattrs=(ALIGNMENT, SEGMENTATION)):
... print(anc)
(<Tier object (id: g type: glosses) at ...>, 'alignment', <Tier object (id: m type: morphemes) at ...>, [<Item object (id: m1) at ...>])
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xigt/xigt | xigt/query.py | descendants | def descendants(obj, refattrs=(SEGMENTATION, ALIGNMENT), follow='first'):
"""
>>> for des in query.descendants(igt.get_item('p1'), refattrs=(SEGMENTATION, ALIGNMENT)):
... print(des)
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"""
>>> for des in query.descendants(igt.get_item('p1'), refattrs=(SEGMENTATION, ALIGNMENT)):
... print(des)
(<Tier object (id: p type: phrases) at ...>, 'segmentation', <Tier object (id: w type: words) at ...>, [<Item object ... | [
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xigt/xigt | xigt/codecs/xigtxml.py | default_decode | def default_decode(events, mode='full'):
"""Decode a XigtCorpus element."""
event, elem = next(events)
root = elem # store root for later instantiation
while (event, elem.tag) not in [('start', 'igt'), ('end', 'xigt-corpus')]:
event, elem = next(events)
igts = None
if event == 'start' a... | python | def default_decode(events, mode='full'):
"""Decode a XigtCorpus element."""
event, elem = next(events)
root = elem # store root for later instantiation
while (event, elem.tag) not in [('start', 'igt'), ('end', 'xigt-corpus')]:
event, elem = next(events)
igts = None
if event == 'start' a... | [
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willkg/socorro-siggen | siggen/siglists_utils.py | _get_file_content | def _get_file_content(source):
"""Return a tuple, each value being a line of the source file.
Remove empty lines and comments (lines starting with a '#').
"""
filepath = os.path.join('siglists', source + '.txt')
lines = []
with resource_stream(__name__, filepath) as f:
for i, line in ... | python | def _get_file_content(source):
"""Return a tuple, each value being a line of the source file.
Remove empty lines and comments (lines starting with a '#').
"""
filepath = os.path.join('siglists', source + '.txt')
lines = []
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JohnDoee/thomas | thomas/processors/rar.py | _get_rar_version | def _get_rar_version(xfile):
"""Check quickly whether file is rar archive.
"""
buf = xfile.read(len(RAR5_ID))
if buf.startswith(RAR_ID):
return 3
elif buf.startswith(RAR5_ID):
xfile.read(1)
return 5
return 0 | python | def _get_rar_version(xfile):
"""Check quickly whether file is rar archive.
"""
buf = xfile.read(len(RAR5_ID))
if buf.startswith(RAR_ID):
return 3
elif buf.startswith(RAR5_ID):
xfile.read(1)
return 5
return 0 | [
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JohnDoee/thomas | thomas/processors/rar.py | VirtualDirectReader._open_next | def _open_next(self):
"""Proceed to next volume."""
# is the file split over archives?
if (self._cur.flags & rarfile.RAR_FILE_SPLIT_AFTER) == 0:
return False
if self._fd:
self._fd.close()
self._fd = None
# open next part
self._volfil... | python | def _open_next(self):
"""Proceed to next volume."""
# is the file split over archives?
if (self._cur.flags & rarfile.RAR_FILE_SPLIT_AFTER) == 0:
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if self._fd:
self._fd.close()
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JohnDoee/thomas | thomas/processors/rar.py | VirtualDirectReader._check | def _check(self): # TODO: fix?
"""Do not check final CRC."""
if self._returncode:
rarfile.check_returncode(self, '')
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"""Do not check final CRC."""
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"self",
")",
":",
"# TODO: fix?",
"if",
"self",
".",
"_returncode",
":",
"rarfile",
".",
"check_returncode",
"(",
"self",
",",
"''",
")",
"if",
"self",
".",
"_remain",
"!=",
"0",
":",
"raise",
"rarfile",
".",
"BadRarFile",
"(",
"\... | Do not check final CRC. | [
"Do",
"not",
"check",
"final",
"CRC",
"."
] | train | https://github.com/JohnDoee/thomas/blob/51916dd110098b189a1c2fbcb71794fd9ec94832/thomas/processors/rar.py#L202-L207 |
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