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geophysics-ubonn/crtomo_tools | lib/crtomo/tdManager.py | tdMan._save_potentials | def _save_potentials(self, directory):
"""save potentials to a directory
"""
print('saving potentials')
digits = int(np.ceil(np.log10(self.configs.configs.shape[0])))
for i in range(0, self.configs.configs.shape[0]):
pot_data = self.get_potential(i)
filena... | python | def _save_potentials(self, directory):
"""save potentials to a directory
"""
print('saving potentials')
digits = int(np.ceil(np.log10(self.configs.configs.shape[0])))
for i in range(0, self.configs.configs.shape[0]):
pot_data = self.get_potential(i)
filena... | [
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geophysics-ubonn/crtomo_tools | lib/crtomo/tdManager.py | tdMan.clear_measurements | def clear_measurements(self):
"""Forget any previous measurements
"""
mid_list = self.assignments.get('measurements', None)
if mid_list is not None:
for mid in mid_list:
self.configs.delete_measurements(mid=mid)
self.assignments['measurements'] = N... | python | def clear_measurements(self):
"""Forget any previous measurements
"""
mid_list = self.assignments.get('measurements', None)
if mid_list is not None:
for mid in mid_list:
self.configs.delete_measurements(mid=mid)
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geophysics-ubonn/crtomo_tools | lib/crtomo/tdManager.py | tdMan.measurements | def measurements(self):
"""Return the measurements associated with this instance.
if measurements are not present, check if we can model, and then
run CRMod to load the measurements.
"""
# check if we have measurements
mid = self.assignments.get('measurements', None)
... | python | def measurements(self):
"""Return the measurements associated with this instance.
if measurements are not present, check if we can model, and then
run CRMod to load the measurements.
"""
# check if we have measurements
mid = self.assignments.get('measurements', None)
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geophysics-ubonn/crtomo_tools | lib/crtomo/tdManager.py | tdMan._read_sensitivities | def _read_sensitivities(self, sens_dir):
"""import sensitivities from a directory
Note
----
* check that signs are correct in case CRMod switches potential
electrodes
"""
if self.assignments['sensitivities'] is not None:
print('Sensitivities alrea... | python | def _read_sensitivities(self, sens_dir):
"""import sensitivities from a directory
Note
----
* check that signs are correct in case CRMod switches potential
electrodes
"""
if self.assignments['sensitivities'] is not None:
print('Sensitivities alrea... | [
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geophysics-ubonn/crtomo_tools | lib/crtomo/tdManager.py | tdMan._read_potentials | def _read_potentials(self, pot_dir):
"""import potentials from a directory
"""
if self.assignments['potentials'] is not None:
print('Potentials already imported. Will not overwrite!')
return
else:
self.assignments['potentials'] = {}
pot_files ... | python | def _read_potentials(self, pot_dir):
"""import potentials from a directory
"""
if self.assignments['potentials'] is not None:
print('Potentials already imported. Will not overwrite!')
return
else:
self.assignments['potentials'] = {}
pot_files ... | [
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geophysics-ubonn/crtomo_tools | lib/crtomo/tdManager.py | tdMan.get_potential | def get_potential(self, config_nr):
"""Return potential data for a given measurement configuration.
Parameters
----------
config_nr: int
Number of the configurations. Starts at 0
Returns
-------
pot_data: list with two numpy.ndarrays
Firs... | python | def get_potential(self, config_nr):
"""Return potential data for a given measurement configuration.
Parameters
----------
config_nr: int
Number of the configurations. Starts at 0
Returns
-------
pot_data: list with two numpy.ndarrays
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geophysics-ubonn/crtomo_tools | lib/crtomo/tdManager.py | tdMan.get_sensitivity | def get_sensitivity(self, config_nr):
"""return a sensitivity, as well as corresponding metadata, for a given
measurement configuration. Indices start at zero.
"""
if self.assignments['sensitivities'] is None:
self._check_state()
if self.can_model:
... | python | def get_sensitivity(self, config_nr):
"""return a sensitivity, as well as corresponding metadata, for a given
measurement configuration. Indices start at zero.
"""
if self.assignments['sensitivities'] is None:
self._check_state()
if self.can_model:
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geophysics-ubonn/crtomo_tools | lib/crtomo/tdManager.py | tdMan.read_voltages | def read_voltages(self, voltage_file):
"""import voltages from a volt.dat file
Parameters
----------
voltage_file : string
Path to volt.dat file
"""
measurements_raw = np.loadtxt(
voltage_file,
skiprows=1,
)
measuremen... | python | def read_voltages(self, voltage_file):
"""import voltages from a volt.dat file
Parameters
----------
voltage_file : string
Path to volt.dat file
"""
measurements_raw = np.loadtxt(
voltage_file,
skiprows=1,
)
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geophysics-ubonn/crtomo_tools | lib/crtomo/tdManager.py | tdMan.model | def model(self,
voltages=True,
sensitivities=False,
potentials=False,
output_directory=None,
silent=False,
):
"""Forward model the tomodir and read in the results
"""
self._check_state()
if self.can_model... | python | def model(self,
voltages=True,
sensitivities=False,
potentials=False,
output_directory=None,
silent=False,
):
"""Forward model the tomodir and read in the results
"""
self._check_state()
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geophysics-ubonn/crtomo_tools | lib/crtomo/tdManager.py | tdMan._invert | def _invert(self, tempdir, catch_output=True, **kwargs):
"""Internal function than runs an inversion using CRTomo.
Parameters
----------
tempdir : string
directory which to use as a tomodir
catch_output : bool, optional
if True, catch all outputs of the C... | python | def _invert(self, tempdir, catch_output=True, **kwargs):
"""Internal function than runs an inversion using CRTomo.
Parameters
----------
tempdir : string
directory which to use as a tomodir
catch_output : bool, optional
if True, catch all outputs of the C... | [
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tempdir : string
directory which to use as a tomodir
catch_output : bool, optional
if True, catch all outputs of the CRTomo call (default: True)
cores : int, optional
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geophysics-ubonn/crtomo_tools | lib/crtomo/tdManager.py | tdMan.invert | def invert(self, output_directory=None, catch_output=True, **kwargs):
"""Invert this instance, and import the result files
No directories/files will be overwritten. Raise an IOError if the
output directory exists.
Parameters
----------
output_directory: string, optional... | python | def invert(self, output_directory=None, catch_output=True, **kwargs):
"""Invert this instance, and import the result files
No directories/files will be overwritten. Raise an IOError if the
output directory exists.
Parameters
----------
output_directory: string, optional... | [
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geophysics-ubonn/crtomo_tools | lib/crtomo/tdManager.py | tdMan.read_inversion_results | def read_inversion_results(self, tomodir):
"""Import inversion results from a tomodir into this instance
WARNING: Not finished!
"""
self._read_inversion_results(tomodir)
self._read_inv_ctr(tomodir)
self._read_resm_m(tomodir)
self._read_eps_ctr(tomodir) | python | def read_inversion_results(self, tomodir):
"""Import inversion results from a tomodir into this instance
WARNING: Not finished!
"""
self._read_inversion_results(tomodir)
self._read_inv_ctr(tomodir)
self._read_resm_m(tomodir)
self._read_eps_ctr(tomodir) | [
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geophysics-ubonn/crtomo_tools | lib/crtomo/tdManager.py | tdMan.plot_eps_data_hist | def plot_eps_data_hist(self, dfs):
"""Plot histograms of data residuals and data error weighting
TODO:
* add percentage of data below/above the RMS value
"""
# check if this is a DC inversion
if 'datum' in dfs[0]:
dc_inv = True
else:
d... | python | def plot_eps_data_hist(self, dfs):
"""Plot histograms of data residuals and data error weighting
TODO:
* add percentage of data below/above the RMS value
"""
# check if this is a DC inversion
if 'datum' in dfs[0]:
dc_inv = True
else:
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geophysics-ubonn/crtomo_tools | lib/crtomo/tdManager.py | tdMan._read_eps_ctr | def _read_eps_ctr(tomodir):
"""Parse a CRTomo eps.ctr file.
TODO: change parameters to only provide eps.ctr file
Parameters
----------
tomodir: string
Path to directory path
Returns
-------
"""
epsctr_file = tomodir + os.sep + 'inv... | python | def _read_eps_ctr(tomodir):
"""Parse a CRTomo eps.ctr file.
TODO: change parameters to only provide eps.ctr file
Parameters
----------
tomodir: string
Path to directory path
Returns
-------
"""
epsctr_file = tomodir + os.sep + 'inv... | [
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geophysics-ubonn/crtomo_tools | lib/crtomo/tdManager.py | tdMan._read_resm_m | def _read_resm_m(self, tomodir):
"""Read in the resolution matrix of an inversion
Parameters
----------
tomodir: string
directory path to a tomodir
"""
resm_file = tomodir + os.sep + 'inv' + os.sep + 'res_m.diag'
if not os.path.isfile(resm_file):
... | python | def _read_resm_m(self, tomodir):
"""Read in the resolution matrix of an inversion
Parameters
----------
tomodir: string
directory path to a tomodir
"""
resm_file = tomodir + os.sep + 'inv' + os.sep + 'res_m.diag'
if not os.path.isfile(resm_file):
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geophysics-ubonn/crtomo_tools | lib/crtomo/tdManager.py | tdMan.register_forward_model | def register_forward_model(self, pid_mag, pid_pha):
"""Register parameter sets as the forward models for magnitude and
phase
Parameters
----------
pid_mag: int
parameter id corresponding to the magnitude model
pid_pha: int
parameter id correspondi... | python | def register_forward_model(self, pid_mag, pid_pha):
"""Register parameter sets as the forward models for magnitude and
phase
Parameters
----------
pid_mag: int
parameter id corresponding to the magnitude model
pid_pha: int
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geophysics-ubonn/crtomo_tools | lib/crtomo/tdManager.py | tdMan.register_magnitude_model | def register_magnitude_model(self, pid):
"""Set a given parameter model to the forward magnitude model
"""
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self.assignments['forward_model'] = [None, None]
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"""Set a given parameter model to the forward magnitude model
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if self.assignments['forward_model'] is None:
self.assignments['forward_model'] = [None, None]
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geophysics-ubonn/crtomo_tools | lib/crtomo/tdManager.py | tdMan.register_phase_model | def register_phase_model(self, pid):
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geophysics-ubonn/crtomo_tools | lib/crtomo/tdManager.py | tdMan.add_homogeneous_model | def add_homogeneous_model(self, magnitude, phase=0):
"""Add a homogeneous resistivity model to the tomodir. This is useful
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Parameters
----------
magnitude : float
magnitude [Ohm m] value of the homogeneous model
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"""Add a homogeneous resistivity model to the tomodir. This is useful
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magnitude : float
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geophysics-ubonn/crtomo_tools | lib/crtomo/tdManager.py | tdMan.show_parset | def show_parset(self, pid):
"""Plot a given parameter set
"""
fig, ax = plt.subplots()
self.plot.plot_elements_to_ax(pid, ax=ax)
return fig, ax | python | def show_parset(self, pid):
"""Plot a given parameter set
"""
fig, ax = plt.subplots()
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wdv4758h/python-everywhere | setup.py | cythonize | def cythonize(*args, **kwargs):
'''
dirty hack, only import cythonize at the time you use it.
if you don't write Cython extension,
you won't fail even if you don't install Cython.
'''
global cythonize
from Cython.Build import cythonize
return cythonize(*args, **kwargs) | python | def cythonize(*args, **kwargs):
'''
dirty hack, only import cythonize at the time you use it.
if you don't write Cython extension,
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global cythonize
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nhfruchter/pgh-bustime | pghbustime/interface.py | BustimeAPI.response | def response(self, url):
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nhfruchter/pgh-bustime | pghbustime/interface.py | BustimeAPI.errorhandle | def errorhandle(self, resp):
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zalando-stups/lizzy-client | lizzy_client/utils.py | get_stack_refs | def get_stack_refs(refs: list): # copy pasted from Senza
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rhayes777/PyAutoFit | autofit/mapper/model_mapper.py | ModelMapper.instance_for_arguments | def instance_for_arguments(self, arguments):
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Parameters
----------
arguments : dict
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rhayes777/PyAutoFit | autofit/mapper/model_mapper.py | ModelMapper.mapper_from_partial_prior_arguments | def mapper_from_partial_prior_arguments(self, arguments):
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rhayes777/PyAutoFit | autofit/mapper/model_mapper.py | ModelMapper.mapper_from_prior_arguments | def mapper_from_prior_arguments(self, arguments):
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arguments: {Prior: Prior}
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rhayes777/PyAutoFit | autofit/mapper/model_mapper.py | ModelMapper.mapper_from_gaussian_tuples | def mapper_from_gaussian_tuples(self, tuples, a=None, r=None):
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rhayes777/PyAutoFit | autofit/mapper/model_mapper.py | ModelMapper.info | def info(self):
"""
Use the priors that make up the model_mapper to generate information on each parameter of the overall model.
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"""
info = []
for prior_model_name, prior_model in self.prior_model_tup... | python | def info(self):
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Use the priors that make up the model_mapper to generate information on each parameter of the overall model.
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peterbe/gg | gg/builtins/push/gg_push.py | push | def push(config, force=False):
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repo = config.repo
active_branch = repo.active_branch
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"""Create push the current branch."""
repo = config.repo
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error_out(
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geophysics-ubonn/crtomo_tools | src/volt_correct_temperature.py | readin_volt | def readin_volt(filename):
"""Read in measurement data from a volt.dat file and return electrodes and
measured resistance.
"""
with open(filename, 'r') as fid:
content = np.loadtxt(fid, skiprows=1, usecols=[0, 1, 2])
volt = content[:, 2]
elecs = content[:, 0:2]
return elecs, ... | python | def readin_volt(filename):
"""Read in measurement data from a volt.dat file and return electrodes and
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"""
with open(filename, 'r') as fid:
content = np.loadtxt(fid, skiprows=1, usecols=[0, 1, 2])
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geophysics-ubonn/crtomo_tools | src/volt_correct_temperature.py | save_volt | def save_volt(elecs, volt, filename):
"""Save the values in volt-format.
"""
# bring data in shape
content = np.column_stack((elecs, volt, np.zeros(len(volt))))
# save datapoints
with open(filename, 'w') as fid:
fid.write('{0}\n'.format(content.shape[0]))
with open(filename, 'ab') a... | python | def save_volt(elecs, volt, filename):
"""Save the values in volt-format.
"""
# bring data in shape
content = np.column_stack((elecs, volt, np.zeros(len(volt))))
# save datapoints
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geophysics-ubonn/crtomo_tools | src/volt_correct_temperature.py | main | def main():
"""Function to remove temperature effect from field data
"""
options = handle_options()
# read in observed and synthetic data
elecs, d_obs = readin_volt(options.d_obs)
elecs, d_est = readin_volt(options.d_est)
elecs, d_estTC = readin_volt(options.d_estTC)
# calculate correct... | python | def main():
"""Function to remove temperature effect from field data
"""
options = handle_options()
# read in observed and synthetic data
elecs, d_obs = readin_volt(options.d_obs)
elecs, d_est = readin_volt(options.d_est)
elecs, d_estTC = readin_volt(options.d_estTC)
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Maples7/dict-recursive-update | dict_recursive_update/__init__.py | recursive_update | def recursive_update(default, custom):
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TypeError: Params of recursive_update should be dicts
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{'a': [2... | python | def recursive_update(default, custom):
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Traceback (most recent call last):
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TypeError: Params of recursive_update should be dicts
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peterbe/gg | gg/builtins/cleanup/gg_cleanup.py | cleanup | def cleanup(config, searchstring, force=False):
"""Deletes a found branch locally and remotely."""
repo = config.repo
branches_ = list(find(repo, searchstring))
if not branches_:
error_out("No branches found")
elif len(branches_) > 1:
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"""Deletes a found branch locally and remotely."""
repo = config.repo
branches_ = list(find(repo, searchstring))
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geophysics-ubonn/crtomo_tools | src/td_correct_temperature.py | calc_correction | def calc_correction(temp, mag, add=False, T_std=10, m=0.021):
"""Function to add or substract the temperature effect to given data. The
function can be called in python scripts. For application via command line
in a file system use the script td_correct_temperature.py. The data is
taken and given in Ohm... | python | def calc_correction(temp, mag, add=False, T_std=10, m=0.021):
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geophysics-ubonn/crtomo_tools | src/td_correct_temperature.py | save_mag_to_file | def save_mag_to_file(mag, filename, rhofile):
"""Save the values in rho- or mag-format.
"""
if rhofile:
# bring data in shape
null = np.zeros(len(mag))
if mag.shape[1] == 3:
null = np.column_stack((null, null, null, null))
result = np.column_stack((mag, null))
... | python | def save_mag_to_file(mag, filename, rhofile):
"""Save the values in rho- or mag-format.
"""
if rhofile:
# bring data in shape
null = np.zeros(len(mag))
if mag.shape[1] == 3:
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result = np.column_stack((mag, null))
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geophysics-ubonn/crtomo_tools | src/td_correct_temperature.py | main | def main():
"""Function to add or substract the temperature effect to data in a tomodir
"""
options = handle_options()
# read in temperature and resistivity data
tempdata = readin_temp(options.temp_file)
magdata = readin_rho(options.filename,
options.rhofile,
... | python | def main():
"""Function to add or substract the temperature effect to data in a tomodir
"""
options = handle_options()
# read in temperature and resistivity data
tempdata = readin_temp(options.temp_file)
magdata = readin_rho(options.filename,
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lalinsky/mbdata | mbdata/api/utils.py | singular | def singular(plural):
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Take a plural English word and turn it into singular
Obviously, this doesn't work in general. It know just enough words to
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"""
Take a plural English word and turn it into singular
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geophysics-ubonn/crtomo_tools | src/sens_center_plot.py | sens_center.plot_single_configuration | def plot_single_configuration(self, config_nr, sens_file):
"""
plot sensitivity distribution with center of mass for
a single configuration. The electrodes used are colored.
Parameters
----------
config_nr: int
number of configuration
sens_file: strin... | python | def plot_single_configuration(self, config_nr, sens_file):
"""
plot sensitivity distribution with center of mass for
a single configuration. The electrodes used are colored.
Parameters
----------
config_nr: int
number of configuration
sens_file: strin... | [
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geophysics-ubonn/crtomo_tools | src/sens_center_plot.py | sens_center.plot_sens_center | def plot_sens_center(self, frequency=2):
"""
plot sensitivity center distribution for all configurations in
config.dat. The centers of mass are colored by the data given in
volt_file.
"""
try:
colors = np.loadtxt(self.volt_file, skiprows=1)
except IOE... | python | def plot_sens_center(self, frequency=2):
"""
plot sensitivity center distribution for all configurations in
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"""
try:
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geophysics-ubonn/crtomo_tools | src/sens_center_plot.py | sens_center.color_electrodes | def color_electrodes(self, config_nr, ax):
"""
Color the electrodes used in specific configuration.
Voltage electrodes are yellow, Current electrodes are red ?!
"""
electrodes = np.loadtxt(options.config_file, skiprows=1)
electrodes = self.configs[~np.isnan(self.configs).... | python | def color_electrodes(self, config_nr, ax):
"""
Color the electrodes used in specific configuration.
Voltage electrodes are yellow, Current electrodes are red ?!
"""
electrodes = np.loadtxt(options.config_file, skiprows=1)
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geophysics-ubonn/crtomo_tools | src/td_init.py | handle_cmd_options | def handle_cmd_options():
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occurrences = {}
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geophysics-ubonn/crtomo_tools | lib/crtomo/status.py | is_tomodir | def is_tomodir(directory):
"""Check if the supplied directory is a tomodir
Parameters
----------
directory: string
Check if the supplied path is a valid tomodir
Returns
-------
is_tomodir: bool
True if the supplied directory is a tomodir directory
"""
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directory: string
Check if the supplied path is a valid tomodir
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True if the supplied directory is a tomodir directory
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tomodir: string
Directory to check
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geophysics-ubonn/crtomo_tools | lib/crtomo/status.py | is_sipdir | def is_sipdir(directory):
""" Simple check if the supplied directory is a SIP directory.
Parameters
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directory: string
Check if the supplied path is a valid SIP directory
Returns
-------
is_sipdir: bool
True if the supplied directory is a SIP directory
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directory: string
Check if the supplied path is a valid SIP directory
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sipdir: string
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redhat-openstack/python-tripleo-helper | tripleohelper/ovb_undercloud.py | OVBUndercloud.enable_neutron_hack | def enable_neutron_hack(self, os_username, os_password, os_project_id, os_auth_url):
"""Enable the neutron hack on the undercloud.
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redhat-openstack/python-tripleo-helper | tripleohelper/ovb_undercloud.py | OVBUndercloud.patch_ironic_ramdisk | def patch_ironic_ramdisk(self):
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See: https://bugs.launchpad.net/ironic-lib/+bug/1550604
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NikolayDachev/jadm | lib/paramiko-1.14.1/paramiko/message.py | Message.get_int | def get_int(self):
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reorx/torext | torext/log.py | set_logger | def set_logger(name,
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reorx/torext | torext/log.py | BaseFormatter.format | def format(self, record):
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Riminder/python-riminder-api | riminder/profile.py | Profile.list | def list(self, source_ids=None, seniority="all", stage=None,
date_start="1494539999", date_end=TIMESTAMP_NOW, filter_id=None,
page=1, limit=30, sort_by='ranking', filter_reference=None, order_by=None):
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Retreive all profiles that match the query param.
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source_id: <string>
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Riminder/python-riminder-api | riminder/profile.py | Profile.addList | def addList(self, source_id, dir_path, is_recurcive=False, timestamp_reception=None, training_metadata=[]):
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"""Add all profile from a given directory."""
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Riminder/python-riminder-api | riminder/profile.py | Profile.get | def get(self, source_id=None, profile_id=None, profile_reference=None):
"""
Retrieve the profile information associated with profile id.
Args:
source_id: <string>
source id
profile_id: <string>
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Riminder/python-riminder-api | riminder/profile.py | ProfileStage.set | def set(self, source_id=None, profile_id=None, filter_id=None, stage=None, profile_reference=None, filter_reference=None):
"""
Edit the profile stage given a filter.
Args:
profile_id: <string>
profile id
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profile_id: <string>
profile id
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Riminder/python-riminder-api | riminder/profile.py | ProfileRevealing.get | def get(self, source_id=None, profile_id=None, profile_reference=None, filter_id=None, filter_reference=None):
"""
Retrieve the interpretability information.
Args:
source_id: <string>
source id
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Riminder/python-riminder-api | riminder/profile.py | ProfileJson.check | def check(self, profile_data, training_metadata=[]):
"""Use the api to check weither the profile_data are valid."""
data = {
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respon... | python | def check(self, profile_data, training_metadata=[]):
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Riminder/python-riminder-api | riminder/profile.py | ProfileJson.add | def add(self, source_id, profile_data, training_metadata=[], profile_reference=None, timestamp_reception=None):
"""Use the api to add a new profile using profile_data."""
data = {
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"""Use the api to add a new profile using profile_data."""
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kwlzn/blast | blast/scanner.py | DirScanner.md5sum | def md5sum(self, f):
''' md5sums a file, returning the hex digest
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'''
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fh = open(f, 'r')
while 1:
chunk = fh.read(BUF_SIZE)
if not chunk: break
m.update(chunk)
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''' md5sums a file, returning the hex digest
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- f filename string
'''
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'''
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gebn/wood | wood/integrations/s3.py | objects_to_root | def objects_to_root(objects: List) -> Root:
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gebn/wood | wood/integrations/s3.py | Syncer._delete | def _delete(self, paths: Iterable[str]) -> None:
"""
Delete a collection of paths from S3.
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:raises ClientError: If any request fails.
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Delete a collection of paths from S3.
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gebn/wood | wood/integrations/s3.py | Syncer._upload | def _upload(self, items: Iterable[Tuple[str, str]]) -> None:
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geophysics-ubonn/crtomo_tools | src/grid_rotate.py | rotmat | def rotmat(alpha):
"""Rotate around z-axis
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return R | python | def rotmat(alpha):
"""Rotate around z-axis
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R = np.array(((np.cos(alpha), -np.sin(alpha)),
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edx/edx-celeryutils | celery_utils/logged_task.py | LoggedTask.apply_async | def apply_async(self, args=None, kwargs=None, **options): # pylint: disable=arguments-differ
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Emit a log statement when the task is submitted.
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result = super(LoggedTask, self).apply_async(args=args, kwargs=kwargs, **options)
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Emit a log statement when the task is submitted.
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Capture the exception that caused the task to be retried, if any.
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Capture the exception that caused the task to fail, if any.
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hotzenklotz/pybeerxml | pybeerxml/parser.py | Parser.nodes_to_object | def nodes_to_object(self, node, object):
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attribute = "_yield" if attribute == "yield" else attribute
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hotzenklotz/pybeerxml | pybeerxml/parser.py | Parser.parse | def parse(self, xml_file):
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maxzheng/localconfig | localconfig/manager.py | LocalConfig._to_dot_key | def _to_dot_key(cls, section, key=None):
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maxzheng/localconfig | localconfig/manager.py | LocalConfig._parse_extra | def _parse_extra(self, fp):
""" Parse and store the config comments and create maps for dot notion lookup """
comment = ''
section = ''
fp.seek(0)
for line in fp:
line = line.rstrip()
if not line:
if comment:
comment ... | python | def _parse_extra(self, fp):
""" Parse and store the config comments and create maps for dot notion lookup """
comment = ''
section = ''
fp.seek(0)
for line in fp:
line = line.rstrip()
if not line:
if comment:
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maxzheng/localconfig | localconfig/manager.py | LocalConfig._typed_value | def _typed_value(self, value):
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new_value = value
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new_value = int(value)
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""" Transform string value to an actual data type of the same value. """
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maxzheng/localconfig | localconfig/manager.py | LocalConfig.add_section | def add_section(self, section, comment=None):
"""
Add a section
:param str section: Section to add
:raise DuplicateSectionError: if section already exist.
"""
self._read_sources()
if self._to_dot_key(section) in self._dot_keys:
raise DuplicateSection... | python | def add_section(self, section, comment=None):
"""
Add a section
:param str section: Section to add
:raise DuplicateSectionError: if section already exist.
"""
self._read_sources()
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maxzheng/localconfig | localconfig/manager.py | LocalConfig._set_comment | def _set_comment(self, section, comment, key=None):
"""
Set a comment for section or key
:param str section: Section to add comment to
:param str comment: Comment to add
:param str key: Key to add comment to
"""
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comment = '\n# '.j... | python | def _set_comment(self, section, comment, key=None):
"""
Set a comment for section or key
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:param str comment: Comment to add
:param str key: Key to add comment to
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thiagopbueno/tf-rddlsim | tfrddlsim/policy/random_policy.py | RandomPolicy._sample_actions | def _sample_actions(self,
state: Sequence[tf.Tensor]) -> Tuple[Sequence[tf.Tensor], tf.Tensor, tf.Tensor]:
'''Returns sampled action fluents and tensors related to the sampling.
Args:
state (Sequence[tf.Tensor]): A list of state fluents.
Returns:
Tuple[Seque... | python | def _sample_actions(self,
state: Sequence[tf.Tensor]) -> Tuple[Sequence[tf.Tensor], tf.Tensor, tf.Tensor]:
'''Returns sampled action fluents and tensors related to the sampling.
Args:
state (Sequence[tf.Tensor]): A list of state fluents.
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thiagopbueno/tf-rddlsim | tfrddlsim/policy/random_policy.py | RandomPolicy._check_preconditions | def _check_preconditions(self,
state: Sequence[tf.Tensor],
action: Sequence[tf.Tensor],
bound_constraints: Dict[str, Constraints],
default: Sequence[tf.Tensor]) -> Tuple[tf.Tensor, Sequence[tf.Tensor], tf.Tensor]:
'''Samples action fluents until all preconditions ... | python | def _check_preconditions(self,
state: Sequence[tf.Tensor],
action: Sequence[tf.Tensor],
bound_constraints: Dict[str, Constraints],
default: Sequence[tf.Tensor]) -> Tuple[tf.Tensor, Sequence[tf.Tensor], tf.Tensor]:
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thiagopbueno/tf-rddlsim | tfrddlsim/policy/random_policy.py | RandomPolicy._sample_action | def _sample_action(self,
constraints: Dict[str, Constraints],
default: Sequence[tf.Tensor],
prob: float = 0.3) -> Sequence[tf.Tensor]:
'''Samples action fluents respecting the given bound `constraints`.
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constraints: Dict[str, Constraints],
default: Sequence[tf.Tensor],
prob: float = 0.3) -> Sequence[tf.Tensor]:
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thiagopbueno/tf-rddlsim | tfrddlsim/policy/random_policy.py | RandomPolicy._sample_action_fluent | def _sample_action_fluent(self,
name: str,
dtype: tf.DType,
size: Sequence[int],
constraints: Dict[str, Constraints],
default_value: tf.Tensor,
prob: float) -> tf.Tensor:
'''Samples the action fluent with given `name`, `dtype`, and `size`.
... | python | def _sample_action_fluent(self,
name: str,
dtype: tf.DType,
size: Sequence[int],
constraints: Dict[str, Constraints],
default_value: tf.Tensor,
prob: float) -> tf.Tensor:
'''Samples the action fluent with given `name`, `dtype`, and `size`.
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Nic30/hwtGraph | hwtGraph/elk/fromHwt/convertor.py | UnitToLNode | def UnitToLNode(u: Unit, node: Optional[LNode]=None,
toL: Optional[dict]=None,
optimizations=[]) -> LNode:
"""
Build LNode instance from Unit instance
:attention: unit has to be synthesized
"""
if toL is None:
toL = {}
if node is None:
root = LNod... | python | def UnitToLNode(u: Unit, node: Optional[LNode]=None,
toL: Optional[dict]=None,
optimizations=[]) -> LNode:
"""
Build LNode instance from Unit instance
:attention: unit has to be synthesized
"""
if toL is None:
toL = {}
if node is None:
root = LNod... | [
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redhat-openstack/python-tripleo-helper | tripleohelper/host0.py | Host0.configure | def configure(self, rhsm=None, repositories=None):
"""This method will configure the host0 and run the hypervisor."""
if rhsm is not None:
self.rhsm_register(rhsm)
if repositories is not None:
self.enable_repositories(repositories)
self.create_stack_user()
... | python | def configure(self, rhsm=None, repositories=None):
"""This method will configure the host0 and run the hypervisor."""
if rhsm is not None:
self.rhsm_register(rhsm)
if repositories is not None:
self.enable_repositories(repositories)
self.create_stack_user()
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redhat-openstack/python-tripleo-helper | tripleohelper/host0.py | Host0.deploy_hypervisor | def deploy_hypervisor(self):
"""Install the libvirtd and instack-undercloud packages.
"""
self.yum_install(['libvirt-daemon-driver-nwfilter', 'libvirt-client', 'libvirt-daemon-config-network', 'libvirt-daemon-driver-nodedev', 'libvirt-daemon-kvm', 'libvirt-python', 'libvirt-daemon-config-nwfilte... | python | def deploy_hypervisor(self):
"""Install the libvirtd and instack-undercloud packages.
"""
self.yum_install(['libvirt-daemon-driver-nwfilter', 'libvirt-client', 'libvirt-daemon-config-network', 'libvirt-daemon-driver-nodedev', 'libvirt-daemon-kvm', 'libvirt-python', 'libvirt-daemon-config-nwfilte... | [
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redhat-openstack/python-tripleo-helper | tripleohelper/host0.py | Host0.build_undercloud_on_libvirt | def build_undercloud_on_libvirt(self, image_path,
rhsm=None, repositories=[]):
"""Build the Undercloud by using instack-virt-setup script."""
self.run('sysctl net.ipv4.ip_forward=1')
self.fetch_image(path=image_path, dest='/home/stack/guest_image.qcow2',
... | python | def build_undercloud_on_libvirt(self, image_path,
rhsm=None, repositories=[]):
"""Build the Undercloud by using instack-virt-setup script."""
self.run('sysctl net.ipv4.ip_forward=1')
self.fetch_image(path=image_path, dest='/home/stack/guest_image.qcow2',
... | [
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