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codenerix/django-codenerix-invoicing | codenerix_invoicing/models_sales_original.py | GenLineProduct.create_invoice_from_ticket | def create_invoice_from_ticket(pk, list_lines):
"""
la pk y list_lines son de ticket, necesitamos la info de las lineas de pedidos
"""
context = {}
if list_lines:
new_list_lines = [x[0] for x in SalesLineTicket.objects.values_list('line_order__pk').filter(pk__in=[int(... | python | def create_invoice_from_ticket(pk, list_lines):
"""
la pk y list_lines son de ticket, necesitamos la info de las lineas de pedidos
"""
context = {}
if list_lines:
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xtream1101/cutil | cutil/database.py | _check_values | def _check_values(in_values):
""" Check if values need to be converted before they get mogrify'd
"""
out_values = []
for value in in_values:
# if isinstance(value, (dict, list)):
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# else:
out_values... | python | def _check_values(in_values):
""" Check if values need to be converted before they get mogrify'd
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out_values = []
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ScottDuckworth/python-anyvcs | anyvcs/__init__.py | clone | def clone(srcpath, destpath, vcs=None):
"""Clone an existing repository.
:param str srcpath: Path to an existing repository
:param str destpath: Desired path of new repository
:param str vcs: Either ``git``, ``hg``, or ``svn``
:returns VCSRepo: The newly cloned repository
If ``vcs`` is not giv... | python | def clone(srcpath, destpath, vcs=None):
"""Clone an existing repository.
:param str srcpath: Path to an existing repository
:param str destpath: Desired path of new repository
:param str vcs: Either ``git``, ``hg``, or ``svn``
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ScottDuckworth/python-anyvcs | anyvcs/__init__.py | probe | def probe(path):
"""Probe a repository for its type.
:param str path: The path of the repository
:raises UnknownVCSType: if the repository type couldn't be inferred
:returns str: either ``git``, ``hg``, or ``svn``
This function employs some heuristics to guess the type of the repository.
"""
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"""Probe a repository for its type.
:param str path: The path of the repository
:raises UnknownVCSType: if the repository type couldn't be inferred
:returns str: either ``git``, ``hg``, or ``svn``
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ScottDuckworth/python-anyvcs | anyvcs/__init__.py | open | def open(path, vcs=None):
"""Open an existing repository
:param str path: The path of the repository
:param vcs: If specified, assume the given repository type to avoid
auto-detection. Either ``git``, ``hg``, or ``svn``.
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"""Open an existing repository
:param str path: The path of the repository
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ProjetPP/PPP-datamodel-Python | ppp_datamodel/utils/attributesholder.py | AttributesHolder._check_attributes | def _check_attributes(self, attributes, extra=None):
"""Check if attributes given to the constructor can be used to
instanciate a valid node."""
extra = extra or ()
unknown_keys = set(attributes) - set(self._possible_attributes) - set(extra)
if unknown_keys:
logger.wa... | python | def _check_attributes(self, attributes, extra=None):
"""Check if attributes given to the constructor can be used to
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extra = extra or ()
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standage/tag | tag/__main__.py | main | def main(args=None):
"""
Entry point for the tag CLI.
Isolated as a method so that the CLI can be called by other Python code
(e.g. for testing), in which case the arguments are passed to the function.
If no arguments are passed to the function, parse them from the command
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"""
if ... | python | def main(args=None):
"""
Entry point for the tag CLI.
Isolated as a method so that the CLI can be called by other Python code
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If no arguments are passed to the function, parse them from the command
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PhracturedBlue/asterisk_mbox | asterisk_mbox/__init__.py | _build_request | def _build_request(request):
"""Build message to transfer over the socket from a request."""
msg = bytes([request['cmd']])
if 'dest' in request:
msg += bytes([request['dest']])
else:
msg += b'\0'
if 'sha' in request:
msg += request['sha']
else:
for dummy in range(... | python | def _build_request(request):
"""Build message to transfer over the socket from a request."""
msg = bytes([request['cmd']])
if 'dest' in request:
msg += bytes([request['dest']])
else:
msg += b'\0'
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PhracturedBlue/asterisk_mbox | asterisk_mbox/__init__.py | main | def main():
"""Show example using the API."""
__async__ = True
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"""Show example using the API."""
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PhracturedBlue/asterisk_mbox | asterisk_mbox/__init__.py | Client.start | def start(self):
"""Start thread."""
if not self._thread:
logging.info("Starting asterisk mbox thread")
# Ensure signal queue is empty
try:
while True:
self.signal.get(False)
except queue.Empty:
pass
... | python | def start(self):
"""Start thread."""
if not self._thread:
logging.info("Starting asterisk mbox thread")
# Ensure signal queue is empty
try:
while True:
self.signal.get(False)
except queue.Empty:
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PhracturedBlue/asterisk_mbox | asterisk_mbox/__init__.py | Client.stop | def stop(self):
"""Stop thread."""
if self._thread:
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self._soc.shutdown()
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self._thread = None | python | def stop(self):
"""Stop thread."""
if self._thread:
self.signal.put("Stop")
self._thread.join()
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self._soc.shutdown()
self._soc.close()
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PhracturedBlue/asterisk_mbox | asterisk_mbox/__init__.py | Client._recv_msg | def _recv_msg(self):
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command = ord(recv_blocking(self._soc, 1))
msglen = recv_blocking(self._soc, 4)
msglen = ((msglen[0] << 24) + (msglen[1] << 16) +
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msg = recv_blocking(self._soc, msglen)
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"""Read a message from the server."""
command = ord(recv_blocking(self._soc, 1))
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msglen = ((msglen[0] << 24) + (msglen[1] << 16) +
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PhracturedBlue/asterisk_mbox | asterisk_mbox/__init__.py | Client._loop | def _loop(self):
"""Handle data."""
request = {}
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if not connected:
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PhracturedBlue/asterisk_mbox | asterisk_mbox/__init__.py | Client.mp3 | def mp3(self, sha, **kwargs):
"""Get raw MP3 of a message."""
return self._queue_msg({'cmd': cmd.CMD_MESSAGE_MP3,
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"""Get raw MP3 of a message."""
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PhracturedBlue/asterisk_mbox | asterisk_mbox/__init__.py | Client.delete | def delete(self, sha, **kwargs):
"""Delete a message."""
return self._queue_msg({'cmd': cmd.CMD_MESSAGE_DELETE,
'sha': _get_bytes(sha)}, **kwargs) | python | def delete(self, sha, **kwargs):
"""Delete a message."""
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PhracturedBlue/asterisk_mbox | asterisk_mbox/__init__.py | Client.get_cdr | def get_cdr(self, start=0, count=-1, **kwargs):
"""Request range of CDR messages"""
sha = encode_to_sha("{:d},{:d}".format(start, count))
return self._queue_msg({'cmd': cmd.CMD_MESSAGE_CDR,
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"""Request range of CDR messages"""
sha = encode_to_sha("{:d},{:d}".format(start, count))
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edx/help-tokens | help_tokens/core.py | HelpUrlExpert.the_one | def the_one(cls):
"""Get the single global HelpUrlExpert object."""
if cls.THE_ONE is None:
cls.THE_ONE = cls(settings.HELP_TOKENS_INI_FILE)
return cls.THE_ONE | python | def the_one(cls):
"""Get the single global HelpUrlExpert object."""
if cls.THE_ONE is None:
cls.THE_ONE = cls(settings.HELP_TOKENS_INI_FILE)
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section_name (str): name of the section in the configuration from which
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edx/help-tokens | help_tokens/core.py | HelpUrlExpert.url_for_token | def url_for_token(self, token):
"""Find the full URL for a help token."""
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"""Find the full URL for a help token."""
book_url = self.get_config_value("pages", token)
book, _, url_tail = book_url.partition(':')
book_base = settings.HELP_TOKENS_BOOKS[book]
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AshleySetter/optoanalysis | optoanalysis/optoanalysis/optoanalysis.py | multi_load_data_custom | def multi_load_data_custom(Channel, TraceTitle, RunNos, directoryPath='.', calcPSD=True, NPerSegmentPSD=1000000):
"""
Lets you load multiple datasets named with the LeCroy's custom naming scheme at once.
Parameters
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Channel : int
The channel you want to load
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AshleySetter/optoanalysis | optoanalysis/optoanalysis/optoanalysis.py | search_data_custom | def search_data_custom(Channel, TraceTitle, RunNos, directoryPath='.'):
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AshleySetter/optoanalysis | optoanalysis/optoanalysis/optoanalysis.py | calc_temp | def calc_temp(Data_ref, Data):
"""
Calculates the temperature of a data set relative to a reference.
The reference is assumed to be at 300K.
Parameters
----------
Data_ref : DataObject
Reference data set, assumed to be 300K
Data : DataObject
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"""
Calculates the temperature of a data set relative to a reference.
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AshleySetter/optoanalysis | optoanalysis/optoanalysis/optoanalysis.py | fit_curvefit | def fit_curvefit(p0, datax, datay, function, **kwargs):
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Parameters
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p0 : array_like
initial parameters to use for fitting
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x data to use for fitting
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p0 : array_like
initial parameters to use for fitting
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AshleySetter/optoanalysis | optoanalysis/optoanalysis/optoanalysis.py | moving_average | def moving_average(array, n=3):
"""
Calculates the moving average of an array.
Parameters
----------
array : array
The array to have the moving average taken of
n : int
The number of points of moving average to take
Returns
-------
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"""
Calculates the moving average of an array.
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array : array
The array to have the moving average taken of
n : int
The number of points of moving average to take
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AshleySetter/optoanalysis | optoanalysis/optoanalysis/optoanalysis.py | fit_autocorrelation | def fit_autocorrelation(autocorrelation, time, GammaGuess, TrapFreqGuess=None, method='energy', MakeFig=True, show_fig=True):
"""
Fits exponential relaxation theory to data.
Parameters
----------
autocorrelation : array
array containing autocorrelation to be fitted
time : array
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AshleySetter/optoanalysis | optoanalysis/optoanalysis/optoanalysis.py | IFFT_filter | def IFFT_filter(Signal, SampleFreq, lowerFreq, upperFreq, PyCUDA = False):
"""
Filters data using fft -> zeroing out fft bins -> ifft
Parameters
----------
Signal : ndarray
Signal to be filtered
SampleFreq : float
Sample frequency of signal
lowerFreq : float
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"""
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Signal : ndarray
Signal to be filtered
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AshleySetter/optoanalysis | optoanalysis/optoanalysis/optoanalysis.py | calc_fft_with_PyCUDA | def calc_fft_with_PyCUDA(Signal):
"""
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Parameters
----------
Signal : ndarray
Signal to be transformed into Fourier space
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-------
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"""
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AshleySetter/optoanalysis | optoanalysis/optoanalysis/optoanalysis.py | calc_ifft_with_PyCUDA | def calc_ifft_with_PyCUDA(Signalfft):
"""
Calculates the inverse-FFT of the passed FFT-signal by
using the scikit-cuda libary which relies on PyCUDA
Parameters
----------
Signalfft : ndarray
FFT-Signal to be transformed into Real space
Returns
-------
Signal : ndarray
... | python | def calc_ifft_with_PyCUDA(Signalfft):
"""
Calculates the inverse-FFT of the passed FFT-signal by
using the scikit-cuda libary which relies on PyCUDA
Parameters
----------
Signalfft : ndarray
FFT-Signal to be transformed into Real space
Returns
-------
Signal : ndarray
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AshleySetter/optoanalysis | optoanalysis/optoanalysis/optoanalysis.py | make_butterworth_b_a | def make_butterworth_b_a(lowcut, highcut, SampleFreq, order=5, btype='band'):
"""
Generates the b and a coefficients for a butterworth IIR filter.
Parameters
----------
lowcut : float
frequency of lower bandpass limit
highcut : float
frequency of higher bandpass limit
Sample... | python | def make_butterworth_b_a(lowcut, highcut, SampleFreq, order=5, btype='band'):
"""
Generates the b and a coefficients for a butterworth IIR filter.
Parameters
----------
lowcut : float
frequency of lower bandpass limit
highcut : float
frequency of higher bandpass limit
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AshleySetter/optoanalysis | optoanalysis/optoanalysis/optoanalysis.py | make_butterworth_bandpass_b_a | def make_butterworth_bandpass_b_a(CenterFreq, bandwidth, SampleFreq, order=5, btype='band'):
"""
Generates the b and a coefficients for a butterworth bandpass IIR filter.
Parameters
----------
CenterFreq : float
central frequency of bandpass
bandwidth : float
width of the bandpa... | python | def make_butterworth_bandpass_b_a(CenterFreq, bandwidth, SampleFreq, order=5, btype='band'):
"""
Generates the b and a coefficients for a butterworth bandpass IIR filter.
Parameters
----------
CenterFreq : float
central frequency of bandpass
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width of the bandpa... | [
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AshleySetter/optoanalysis | optoanalysis/optoanalysis/optoanalysis.py | get_freq_response | def get_freq_response(a, b, show_fig=True, SampleFreq=(2 * pi), NumOfFreqs=500, whole=False):
"""
This function takes an array of coefficients and finds the frequency
response of the filter using scipy.signal.freqz.
show_fig sets if the response should be plotted
Parameters
----------
b : a... | python | def get_freq_response(a, b, show_fig=True, SampleFreq=(2 * pi), NumOfFreqs=500, whole=False):
"""
This function takes an array of coefficients and finds the frequency
response of the filter using scipy.signal.freqz.
show_fig sets if the response should be plotted
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----------
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AshleySetter/optoanalysis | optoanalysis/optoanalysis/optoanalysis.py | multi_plot_PSD | def multi_plot_PSD(DataArray, xlim=[0, 500], units="kHz", LabelArray=[], ColorArray=[], alphaArray=[], show_fig=True):
"""
plot the pulse spectral density for multiple data sets on the same
axes.
Parameters
----------
DataArray : array-like
array of DataObject instances for which to plo... | python | def multi_plot_PSD(DataArray, xlim=[0, 500], units="kHz", LabelArray=[], ColorArray=[], alphaArray=[], show_fig=True):
"""
plot the pulse spectral density for multiple data sets on the same
axes.
Parameters
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DataArray : array-like
array of DataObject instances for which to plo... | [
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AshleySetter/optoanalysis | optoanalysis/optoanalysis/optoanalysis.py | multi_plot_time | def multi_plot_time(DataArray, SubSampleN=1, units='s', xlim=None, ylim=None, LabelArray=[], show_fig=True):
"""
plot the time trace for multiple data sets on the same axes.
Parameters
----------
DataArray : array-like
array of DataObject instances for which to plot the PSDs
SubSampleN ... | python | def multi_plot_time(DataArray, SubSampleN=1, units='s', xlim=None, ylim=None, LabelArray=[], show_fig=True):
"""
plot the time trace for multiple data sets on the same axes.
Parameters
----------
DataArray : array-like
array of DataObject instances for which to plot the PSDs
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AshleySetter/optoanalysis | optoanalysis/optoanalysis/optoanalysis.py | multi_subplots_time | def multi_subplots_time(DataArray, SubSampleN=1, units='s', xlim=None, ylim=None, LabelArray=[], show_fig=True):
"""
plot the time trace on multiple axes
Parameters
----------
DataArray : array-like
array of DataObject instances for which to plot the PSDs
SubSampleN : int, optional
... | python | def multi_subplots_time(DataArray, SubSampleN=1, units='s', xlim=None, ylim=None, LabelArray=[], show_fig=True):
"""
plot the time trace on multiple axes
Parameters
----------
DataArray : array-like
array of DataObject instances for which to plot the PSDs
SubSampleN : int, optional
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AshleySetter/optoanalysis | optoanalysis/optoanalysis/optoanalysis.py | calc_autocorrelation | def calc_autocorrelation(Signal, FFT=False, PyCUDA=False):
"""
Calculates the autocorrelation from a given Signal via using
Parameters
----------
Signal : array-like
Array containing the signal to have the autocorrelation calculated for
FFT : optional, bool
Uses FFT to acce... | python | def calc_autocorrelation(Signal, FFT=False, PyCUDA=False):
"""
Calculates the autocorrelation from a given Signal via using
Parameters
----------
Signal : array-like
Array containing the signal to have the autocorrelation calculated for
FFT : optional, bool
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AshleySetter/optoanalysis | optoanalysis/optoanalysis/optoanalysis.py | _GetRealImagArray | def _GetRealImagArray(Array):
"""
Returns the real and imaginary components of each element in an array and returns them in 2 resulting arrays.
Parameters
----------
Array : ndarray
Input array
Returns
-------
RealArray : ndarray
The real components of the input array
... | python | def _GetRealImagArray(Array):
"""
Returns the real and imaginary components of each element in an array and returns them in 2 resulting arrays.
Parameters
----------
Array : ndarray
Input array
Returns
-------
RealArray : ndarray
The real components of the input array
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AshleySetter/optoanalysis | optoanalysis/optoanalysis/optoanalysis.py | _GetComplexConjugateArray | def _GetComplexConjugateArray(Array):
"""
Calculates the complex conjugate of each element in an array and returns the resulting array.
Parameters
----------
Array : ndarray
Input array
Returns
-------
ConjArray : ndarray
The complex conjugate of the input array.
""... | python | def _GetComplexConjugateArray(Array):
"""
Calculates the complex conjugate of each element in an array and returns the resulting array.
Parameters
----------
Array : ndarray
Input array
Returns
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ConjArray : ndarray
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AshleySetter/optoanalysis | optoanalysis/optoanalysis/optoanalysis.py | fm_discriminator | def fm_discriminator(Signal):
"""
Calculates the digital FM discriminator from a real-valued time signal.
Parameters
----------
Signal : array-like
A real-valued time signal
Returns
-------
fmDiscriminator : array-like
The digital FM discriminator of the argument signal... | python | def fm_discriminator(Signal):
"""
Calculates the digital FM discriminator from a real-valued time signal.
Parameters
----------
Signal : array-like
A real-valued time signal
Returns
-------
fmDiscriminator : array-like
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AshleySetter/optoanalysis | optoanalysis/optoanalysis/optoanalysis.py | find_collisions | def find_collisions(Signal, tolerance=50):
"""
Finds collision events in the signal from the shift in phase of the signal.
Parameters
----------
Signal : array_like
Array containing the values of the signal of interest containing a single frequency.
tolerance : float
Percentage ... | python | def find_collisions(Signal, tolerance=50):
"""
Finds collision events in the signal from the shift in phase of the signal.
Parameters
----------
Signal : array_like
Array containing the values of the signal of interest containing a single frequency.
tolerance : float
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AshleySetter/optoanalysis | optoanalysis/optoanalysis/optoanalysis.py | count_collisions | def count_collisions(Collisions):
"""
Counts the number of unique collisions and gets the collision index.
Parameters
----------
Collisions : array_like
Array of booleans, containing true if during a collision event, false otherwise.
Returns
-------
CollisionCount : int
... | python | def count_collisions(Collisions):
"""
Counts the number of unique collisions and gets the collision index.
Parameters
----------
Collisions : array_like
Array of booleans, containing true if during a collision event, false otherwise.
Returns
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CollisionCount : int
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AshleySetter/optoanalysis | optoanalysis/optoanalysis/optoanalysis.py | steady_state_potential | def steady_state_potential(xdata,HistBins=100):
"""
Calculates the steady state potential. Used in
fit_radius_from_potentials.
Parameters
----------
xdata : ndarray
Position data for a degree of freedom
HistBins : int
Number of bins to use for histogram
of xdata. N... | python | def steady_state_potential(xdata,HistBins=100):
"""
Calculates the steady state potential. Used in
fit_radius_from_potentials.
Parameters
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AshleySetter/optoanalysis | optoanalysis/optoanalysis/optoanalysis.py | calc_z0_and_conv_factor_from_ratio_of_harmonics | def calc_z0_and_conv_factor_from_ratio_of_harmonics(z, z2, NA=0.999):
"""
Calculates the Conversion Factor and physical amplitude of motion in nms
by comparison of the ratio of the heights of the z signal and
second harmonic of z.
Parameters
----------
z : ndarray
array containing... | python | def calc_z0_and_conv_factor_from_ratio_of_harmonics(z, z2, NA=0.999):
"""
Calculates the Conversion Factor and physical amplitude of motion in nms
by comparison of the ratio of the heights of the z signal and
second harmonic of z.
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AshleySetter/optoanalysis | optoanalysis/optoanalysis/optoanalysis.py | calc_mass_from_z0 | def calc_mass_from_z0(z0, w0):
"""
Calculates the mass of the particle using the equipartition
from the angular frequency of the z signal and the average
amplitude of the z signal in nms.
Parameters
----------
z0 : float
Physical average amplitude of motion in nms
w0 : float
... | python | def calc_mass_from_z0(z0, w0):
"""
Calculates the mass of the particle using the equipartition
from the angular frequency of the z signal and the average
amplitude of the z signal in nms.
Parameters
----------
z0 : float
Physical average amplitude of motion in nms
w0 : float
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Physical average amplitude of motion in nms
w0 : float
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AshleySetter/optoanalysis | optoanalysis/optoanalysis/optoanalysis.py | calc_mass_from_fit_and_conv_factor | def calc_mass_from_fit_and_conv_factor(A, Damping, ConvFactor):
"""
Calculates mass from the A parameter from fitting, the damping from
fitting in angular units and the Conversion factor calculated from
comparing the ratio of the z signal and first harmonic of z.
Parameters
----------
A :... | python | def calc_mass_from_fit_and_conv_factor(A, Damping, ConvFactor):
"""
Calculates mass from the A parameter from fitting, the damping from
fitting in angular units and the Conversion factor calculated from
comparing the ratio of the z signal and first harmonic of z.
Parameters
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Damping : float
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AshleySetter/optoanalysis | optoanalysis/optoanalysis/optoanalysis.py | unit_conversion | def unit_conversion(array, unit_prefix, current_prefix=""):
"""
Converts an array or value to of a certain
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E - exa - 1e18
P - peta - 1e15
T - tera - 1e12
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M - mega - 1e6
k - kilo - 1e3
m - milli - 1e-3
... | python | def unit_conversion(array, unit_prefix, current_prefix=""):
"""
Converts an array or value to of a certain
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Accepted units are:
E - exa - 1e18
P - peta - 1e15
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k - kilo - 1e3
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AshleySetter/optoanalysis | optoanalysis/optoanalysis/optoanalysis.py | get_wigner | def get_wigner(z, freq, sample_freq, histbins=200, show_plot=False):
"""
Calculates an approximation to the wigner quasi-probability distribution
by splitting the z position array into slices of the length of one period
of the motion. This slice is then associated with phase from -180 to 180
degrees... | python | def get_wigner(z, freq, sample_freq, histbins=200, show_plot=False):
"""
Calculates an approximation to the wigner quasi-probability distribution
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AshleySetter/optoanalysis | optoanalysis/optoanalysis/optoanalysis.py | plot_wigner3d | def plot_wigner3d(iradon_output, bin_centres, bin_centre_units="", cmap=_cm.cubehelix_r, view=(10, -45), figsize=(10, 10)):
"""
Plots the wigner space representation as a 3D surface plot.
Parameters
----------
iradon_output : ndarray
2d array of size (histbins x histbins)
bin_centres : ... | python | def plot_wigner3d(iradon_output, bin_centres, bin_centre_units="", cmap=_cm.cubehelix_r, view=(10, -45), figsize=(10, 10)):
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Plots the wigner space representation as a 3D surface plot.
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iradon_output : ndarray
2d array of size (histbins x histbins)
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AshleySetter/optoanalysis | optoanalysis/optoanalysis/optoanalysis.py | plot_wigner2d | def plot_wigner2d(iradon_output, bin_centres, cmap=_cm.cubehelix_r, figsize=(6, 6)):
"""
Plots the wigner space representation as a 2D heatmap.
Parameters
----------
iradon_output : ndarray
2d array of size (histbins x histbins)
bin_centres : ndarray
positions of the bin centres... | python | def plot_wigner2d(iradon_output, bin_centres, cmap=_cm.cubehelix_r, figsize=(6, 6)):
"""
Plots the wigner space representation as a 2D heatmap.
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2d array of size (histbins x histbins)
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AshleySetter/optoanalysis | optoanalysis/optoanalysis/optoanalysis.py | DataObject.get_time_data | def get_time_data(self, timeStart=None, timeEnd=None):
"""
Gets the time and voltage data.
Parameters
----------
timeStart : float, optional
The time get data from.
By default it uses the first time point
timeEnd : float, optional
The ... | python | def get_time_data(self, timeStart=None, timeEnd=None):
"""
Gets the time and voltage data.
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----------
timeStart : float, optional
The time get data from.
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timeEnd : float, optional
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"""
plot time data against voltage data.
Parameters
----------
timeStart : float, optional
The time to start plotting from.
By default it uses the first time point
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"""
plot time data against voltage data.
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timeStart : float, optional
The time to start plotting from.
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AshleySetter/optoanalysis | optoanalysis/optoanalysis/optoanalysis.py | DataObject.plot_PSD | def plot_PSD(self, xlim=None, units="kHz", show_fig=True, timeStart=None, timeEnd=None, *args, **kwargs):
"""
plot the pulse spectral density.
Parameters
----------
xlim : array_like, optional
The x limits of the plotted PSD [LowerLimit, UpperLimit]
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"""
plot the pulse spectral density.
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AshleySetter/optoanalysis | optoanalysis/optoanalysis/optoanalysis.py | DataObject.calc_area_under_PSD | def calc_area_under_PSD(self, lowerFreq, upperFreq):
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Parameters
----------
lowerFreq : float
The lower limit of frequency to sum from
upperFreq : float
The upper limit of frequency to su... | python | def calc_area_under_PSD(self, lowerFreq, upperFreq):
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AshleySetter/optoanalysis | optoanalysis/optoanalysis/optoanalysis.py | DataObject.get_fit_auto | def get_fit_auto(self, CentralFreq, MaxWidth=15000, MinWidth=500, WidthIntervals=500, MakeFig=True, show_fig=True, silent=False):
"""
Tries a range of regions to search for peaks and runs the one with the least error
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Parameters
-... | python | def get_fit_auto(self, CentralFreq, MaxWidth=15000, MinWidth=500, WidthIntervals=500, MakeFig=True, show_fig=True, silent=False):
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AshleySetter/optoanalysis | optoanalysis/optoanalysis/optoanalysis.py | DataObject.calc_gamma_from_variance_autocorrelation_fit | def calc_gamma_from_variance_autocorrelation_fit(self, NumberOfOscillations, GammaGuess=None, silent=False, MakeFig=True, show_fig=True):
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Calculates the total damping, i.e. Gamma, by splitting the time trace
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AshleySetter/optoanalysis | optoanalysis/optoanalysis/optoanalysis.py | DataObject.calc_gamma_from_energy_autocorrelation_fit | def calc_gamma_from_energy_autocorrelation_fit(self, GammaGuess=None, silent=False, MakeFig=True, show_fig=True):
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AshleySetter/optoanalysis | optoanalysis/optoanalysis/optoanalysis.py | DataObject.extract_parameters | def extract_parameters(self, P_mbar, P_Error, method="chang"):
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Extracts the Radius, mass and Conversion factor for a particle.
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The pressure in mbar when the data was taken.
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AshleySetter/optoanalysis | optoanalysis/optoanalysis/optoanalysis.py | ORGTableData.get_value | def get_value(self, ColumnName, RunNo):
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ColumnName : string
The name of the desired org-mode table's collumn
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AshleySetter/optoanalysis | PotentialComparisonMass.py | steady_state_potential | def steady_state_potential(xdata,HistBins=100):
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Calculates the steady state potential.
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xdata : ndarray
Position data for a degree of freedom
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Calculates the steady state potential.
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MacHu-GWU/crawlib-project | crawlib/pipeline/mongodb/query_builder.py | finished | def finished(finished_status,
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sporsh/carnifex | carnifex/ssh/command.py | SSHCommand.getCommandLine | def getCommandLine(self):
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commandLine = self.precursor + self.sep if self.precursor else ''
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commandLine = self.precursor + self.sep if self.precursor else ''
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Cadasta/django-tutelary | tutelary/models.py | _policy_psets | def _policy_psets(policy_instances):
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Cadasta/django-tutelary | tutelary/models.py | _get_permission_set_tree | def _get_permission_set_tree(user):
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Cadasta/django-tutelary | tutelary/models.py | ensure_permission_set_tree_cached | def ensure_permission_set_tree_cached(user):
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kevinconway/confpy | confpy/loaders/json.py | JsonFile.parsed | def parsed(self):
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fedora-infra/fedmsg-atomic-composer | fedmsg_atomic_composer/composer.py | AtomicComposer.cleanup_logger | def cleanup_logger(self):
"""Clean up logger to close out file handles.
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fedora-infra/fedmsg-atomic-composer | fedmsg_atomic_composer/composer.py | AtomicComposer.update_configs | def update_configs(self, release):
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git_repo = release['git_repo']
git_cache = release['git_cache']
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fedora-infra/fedmsg-atomic-composer | fedmsg_atomic_composer/composer.py | AtomicComposer.mock_cmd | def mock_cmd(self, release, *cmd, **kwargs):
"""Run a mock command in the chroot for a given release"""
fmt = '{mock_cmd}'
if kwargs.get('new_chroot') is True:
fmt +=' --new-chroot'
fmt += ' --configdir={mock_dir}'
return self.call(fmt.format(**release).split()
... | python | def mock_cmd(self, release, *cmd, **kwargs):
"""Run a mock command in the chroot for a given release"""
fmt = '{mock_cmd}'
if kwargs.get('new_chroot') is True:
fmt +=' --new-chroot'
fmt += ' --configdir={mock_dir}'
return self.call(fmt.format(**release).split()
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fedora-infra/fedmsg-atomic-composer | fedmsg_atomic_composer/composer.py | AtomicComposer.generate_mock_config | def generate_mock_config(self, release):
"""Dynamically generate our mock configuration"""
mock_tmpl = pkg_resources.resource_string(__name__, 'templates/mock.mako')
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"""Dynamically generate our mock configuration"""
mock_tmpl = pkg_resources.resource_string(__name__, 'templates/mock.mako')
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fedora-infra/fedmsg-atomic-composer | fedmsg_atomic_composer/composer.py | AtomicComposer.mock_chroot | def mock_chroot(self, release, cmd, **kwargs):
"""Run a commend in the mock container for a release"""
return self.mock_cmd(release, '--chroot', cmd, **kwargs) | python | def mock_chroot(self, release, cmd, **kwargs):
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fedora-infra/fedmsg-atomic-composer | fedmsg_atomic_composer/composer.py | AtomicComposer.generate_repo_files | def generate_repo_files(self, release):
"""Dynamically generate our yum repo configuration"""
repo_tmpl = pkg_resources.resource_string(__name__, 'templates/repo.mako')
repo_file = os.path.join(release['git_dir'], '%s.repo' % release['repo'])
with file(repo_file, 'w') as repo:
... | python | def generate_repo_files(self, release):
"""Dynamically generate our yum repo configuration"""
repo_tmpl = pkg_resources.resource_string(__name__, 'templates/repo.mako')
repo_file = os.path.join(release['git_dir'], '%s.repo' % release['repo'])
with file(repo_file, 'w') as repo:
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fedora-infra/fedmsg-atomic-composer | fedmsg_atomic_composer/composer.py | AtomicComposer.ostree_init | def ostree_init(self, release):
"""Initialize the OSTree for a release"""
out = release['output_dir'].rstrip('/')
base = os.path.dirname(out)
if not os.path.isdir(base):
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"""Initialize the OSTree for a release"""
out = release['output_dir'].rstrip('/')
base = os.path.dirname(out)
if not os.path.isdir(base):
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fedora-infra/fedmsg-atomic-composer | fedmsg_atomic_composer/composer.py | AtomicComposer.ostree_compose | def ostree_compose(self, release):
"""Compose the OSTree in the mock container"""
start = datetime.utcnow()
treefile = os.path.join(release['git_dir'], 'treefile.json')
cmd = release['ostree_compose'] % treefile
with file(treefile, 'w') as tree:
json.dump(release['tre... | python | def ostree_compose(self, release):
"""Compose the OSTree in the mock container"""
start = datetime.utcnow()
treefile = os.path.join(release['git_dir'], 'treefile.json')
cmd = release['ostree_compose'] % treefile
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fedora-infra/fedmsg-atomic-composer | fedmsg_atomic_composer/composer.py | AtomicComposer.update_ostree_summary | def update_ostree_summary(self, release):
"""Update the ostree summary file and return a path to it"""
self.log.info('Updating the ostree summary for %s', release['name'])
self.mock_chroot(release, release['ostree_summary'])
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"""Update the ostree summary file and return a path to it"""
self.log.info('Updating the ostree summary for %s', release['name'])
self.mock_chroot(release, release['ostree_summary'])
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fedora-infra/fedmsg-atomic-composer | fedmsg_atomic_composer/composer.py | AtomicComposer.sync_in | def sync_in(self, release):
"""Sync the canonical repo to our local working directory"""
tree = release['canonical_dir']
if os.path.exists(tree) and release.get('rsync_in_objs'):
out = release['output_dir']
if not os.path.isdir(out):
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"""Sync the canonical repo to our local working directory"""
tree = release['canonical_dir']
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out = release['output_dir']
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fedora-infra/fedmsg-atomic-composer | fedmsg_atomic_composer/composer.py | AtomicComposer.sync_out | def sync_out(self, release):
"""Sync our tree to the canonical location"""
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tree = release['canonical_dir']
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"""Sync our tree to the canonical location"""
if release.get('rsync_out_objs'):
tree = release['canonical_dir']
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fedora-infra/fedmsg-atomic-composer | fedmsg_atomic_composer/composer.py | AtomicComposer.call | def call(self, cmd, **kwargs):
"""A simple subprocess wrapper"""
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cmd = cmd.split()
self.log.info('Running %s', cmd)
p = subprocess.Popen(cmd, stdout=subprocess.PIPE,
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out, er... | python | def call(self, cmd, **kwargs):
"""A simple subprocess wrapper"""
if isinstance(cmd, basestring):
cmd = cmd.split()
self.log.info('Running %s', cmd)
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standage/tag | tag/range.py | Range.intersect | def intersect(self, other):
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"""
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Determine the interval of overlap between this range and another.
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GeorgeArgyros/symautomata | symautomata/pythonpda.py | PDAState.printer | def printer(self):
"""Prints PDA state attributes"""
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if self.type == 0:
print " Tag: - "
print " Start State - "
elif self.type == 1:
print " Push " + repr(self.sym)
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"""Prints PDA state attributes"""
print " ID " + repr(self.id)
if self.type == 0:
print " Tag: - "
print " Start State - "
elif self.type == 1:
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GeorgeArgyros/symautomata | symautomata/pythonpda.py | PythonPDA.printer | def printer(self):
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davgeo/clear | clear/database.py | RenamerDB._ActionDatabase | def _ActionDatabase(self, cmd, args = None, commit = True, error = True):
"""
Do action on database.
Parameters
----------
cmd : string
SQL command.
args : tuple [optional : default = None]
Arguments to be passed along with the SQL command.
e.g. cmd="SELECT Value FR... | python | def _ActionDatabase(self, cmd, args = None, commit = True, error = True):
"""
Do action on database.
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cmd : string
SQL command.
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davgeo/clear | clear/database.py | RenamerDB._PurgeTable | def _PurgeTable(self, tableName):
"""
Deletes all rows from given table without dropping table.
Parameters
----------
tableName : string
Name of table.
"""
goodlogging.Log.Info("DB", "Deleting all entries from table {0}".format(tableName), verbosity=self.logVerbosity)
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"""
Deletes all rows from given table without dropping table.
Parameters
----------
tableName : string
Name of table.
"""
goodlogging.Log.Info("DB", "Deleting all entries from table {0}".format(tableName), verbosity=self.logVerbosity)
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davgeo/clear | clear/database.py | RenamerDB.GetConfigValue | def GetConfigValue(self, fieldName):
"""
Match given field name in Config table and return corresponding value.
Parameters
----------
fieldName : string
String matching Name column in Config table.
Returns
----------
string or None
If a match is found the correspond... | python | def GetConfigValue(self, fieldName):
"""
Match given field name in Config table and return corresponding value.
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fieldName : string
String matching Name column in Config table.
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string or None
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davgeo/clear | clear/database.py | RenamerDB.SetConfigValue | def SetConfigValue(self, fieldName, value):
"""
Set value in Config table.
If a entry already exists this is updated with the new value, otherwise
a new entry is added.
Parameters
----------
fieldName : string
String to be inserted or matched against Name column in Config table.
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"""
Set value in Config table.
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fieldName : string
String to be inserted or matched against Name column in Config table.
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davgeo/clear | clear/database.py | RenamerDB._AddToSingleColumnTable | def _AddToSingleColumnTable(self, tableName, columnHeading, newValue):
"""
Add an entry to a table containing a single column. Checks existing
table entries to avoid duplicate entries if the given value already
exists in the table.
Parameters
----------
tableName : string
Name of ... | python | def _AddToSingleColumnTable(self, tableName, columnHeading, newValue):
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davgeo/clear | clear/database.py | RenamerDB.AddShowToTVLibrary | def AddShowToTVLibrary(self, showName):
"""
Add show to TVLibrary table. If the show already exists in the table
a fatal error is raised.
Parameters
----------
showName : string
Show name to add to TV library table.
Returns
----------
int
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"""
Add show to TVLibrary table. If the show already exists in the table
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showName : string
Show name to add to TV library table.
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davgeo/clear | clear/database.py | RenamerDB.UpdateShowDirInTVLibrary | def UpdateShowDirInTVLibrary(self, showID, showDir):
"""
Update show directory entry for given show id in TVLibrary table.
Parameters
----------
showID : int
Show id value.
showDir : string
Show directory name.
"""
goodlogging.Log.Info("DB", "Updating TV library for... | python | def UpdateShowDirInTVLibrary(self, showID, showDir):
"""
Update show directory entry for given show id in TVLibrary table.
Parameters
----------
showID : int
Show id value.
showDir : string
Show directory name.
"""
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davgeo/clear | clear/database.py | RenamerDB.SearchTVLibrary | def SearchTVLibrary(self, showName = None, showID = None, showDir = None):
"""
Search TVLibrary table.
If none of the optonal arguments are given it looks up all entries of the
table, otherwise it will look up entries which match the given arguments.
Note that it only looks up based on one argumen... | python | def SearchTVLibrary(self, showName = None, showID = None, showDir = None):
"""
Search TVLibrary table.
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davgeo/clear | clear/database.py | RenamerDB.SearchFileNameTable | def SearchFileNameTable(self, fileName):
"""
Search FileName table.
Find the show id for a given file name.
Parameters
----------
fileName : string
File name to look up in table.
Returns
----------
int or None
If a match is found in the database table the show ... | python | def SearchFileNameTable(self, fileName):
"""
Search FileName table.
Find the show id for a given file name.
Parameters
----------
fileName : string
File name to look up in table.
Returns
----------
int or None
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davgeo/clear | clear/database.py | RenamerDB.AddToFileNameTable | def AddToFileNameTable(self, fileName, showID):
"""
Add entry to FileName table. If the file name and show id combination
already exists in the table a fatal error is raised.
Parameters
----------
fileName : string
File name.
showID : int
Show id.
"""
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"""
Add entry to FileName table. If the file name and show id combination
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Parameters
----------
fileName : string
File name.
showID : int
Show id.
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davgeo/clear | clear/database.py | RenamerDB.SearchSeasonDirTable | def SearchSeasonDirTable(self, showID, seasonNum):
"""
Search SeasonDir table.
Find the season directory for a given show id and season combination.
Parameters
----------
showID : int
Show id for given show.
seasonNum : int
Season number.
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----------
... | python | def SearchSeasonDirTable(self, showID, seasonNum):
"""
Search SeasonDir table.
Find the season directory for a given show id and season combination.
Parameters
----------
showID : int
Show id for given show.
seasonNum : int
Season number.
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----------
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davgeo/clear | clear/database.py | RenamerDB.AddSeasonDirTable | def AddSeasonDirTable(self, showID, seasonNum, seasonDir):
"""
Add entry to SeasonDir table. If a different entry for season directory
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----------
showID : int
Show id.
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davgeo/clear | clear/database.py | RenamerDB.PrintAllTables | def PrintAllTables(self):
""" Prints contents of every table. """
goodlogging.Log.Info("DB", "Database contents:\n")
for table in self._tableDict.keys():
self._PrintDatabaseTable(table) | python | def PrintAllTables(self):
""" Prints contents of every table. """
goodlogging.Log.Info("DB", "Database contents:\n")
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"contents",
"of",
"every",
"table",
"."
] | 5ec85d27efd28afddfcd4c3f44df17f0115a77aa | https://github.com/davgeo/clear/blob/5ec85d27efd28afddfcd4c3f44df17f0115a77aa/clear/database.py#L711-L715 | train | 55,999 |
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