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openxc/openxc-python | openxc/controllers/base.py | Controller.write_translated | def write_translated(self, name, value, event=None):
"""Send a translated write request to the VI.
"""
data = {'name': name}
if value is not None:
data['value'] = self._massage_write_value(value)
if event is not None:
data['event'] = self._massage_write_va... | python | def write_translated(self, name, value, event=None):
"""Send a translated write request to the VI.
"""
data = {'name': name}
if value is not None:
data['value'] = self._massage_write_value(value)
if event is not None:
data['event'] = self._massage_write_va... | [
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openxc/openxc-python | openxc/controllers/base.py | Controller.write_raw | def write_raw(self, message_id, data, bus=None, frame_format=None):
"""Send a raw write request to the VI.
"""
if not isinstance(message_id, numbers.Number):
try:
message_id = int(message_id, 0)
except ValueError:
raise ValueError("ID must ... | python | def write_raw(self, message_id, data, bus=None, frame_format=None):
"""Send a raw write request to the VI.
"""
if not isinstance(message_id, numbers.Number):
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message_id = int(message_id, 0)
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openxc/openxc-python | openxc/controllers/base.py | Controller._massage_write_value | def _massage_write_value(cls, value):
"""Convert string values from command-line arguments into first-order
Python boolean and float objects, if applicable.
"""
if not isinstance(value, numbers.Number):
if value == "true":
value = True
elif value =... | python | def _massage_write_value(cls, value):
"""Convert string values from command-line arguments into first-order
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"""
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value = True
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openxc/openxc-python | openxc/formats/json.py | JsonFormatter._validate | def _validate(cls, message):
"""Confirm the validitiy of a given dict as an OpenXC message.
Returns:
``True`` if the message contains at least a ``name`` and ``value``.
"""
valid = False
if(('name' in message and 'value' in message) or
('id' in messag... | python | def _validate(cls, message):
"""Confirm the validitiy of a given dict as an OpenXC message.
Returns:
``True`` if the message contains at least a ``name`` and ``value``.
"""
valid = False
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openxc/openxc-python | openxc/measurements.py | Measurement.value | def value(self, new_value):
"""Set the value of this measurement.
Raises:
AttributeError: if the new value isn't of the correct units.
"""
if self.unit != units.Undefined and new_value.unit != self.unit:
raise AttributeError("%s must be in %s" % (
... | python | def value(self, new_value):
"""Set the value of this measurement.
Raises:
AttributeError: if the new value isn't of the correct units.
"""
if self.unit != units.Undefined and new_value.unit != self.unit:
raise AttributeError("%s must be in %s" % (
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openxc/openxc-python | openxc/measurements.py | Measurement.from_dict | def from_dict(cls, data):
"""Create a new Measurement subclass instance using the given dict.
If Measurement.name_from_class was previously called with this data's
associated Measurement sub-class in Python, the returned object will be
an instance of that sub-class. If the measurement n... | python | def from_dict(cls, data):
"""Create a new Measurement subclass instance using the given dict.
If Measurement.name_from_class was previously called with this data's
associated Measurement sub-class in Python, the returned object will be
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openxc/openxc-python | openxc/measurements.py | Measurement.name_from_class | def name_from_class(cls, measurement_class):
"""For a given measurement class, return its generic name.
The given class is expected to have a ``name`` attribute, otherwise this
function will raise an execption. The point of using this method instead
of just trying to grab that attribute... | python | def name_from_class(cls, measurement_class):
"""For a given measurement class, return its generic name.
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openxc/openxc-python | openxc/sources/trace.py | TraceDataSource._store_timestamp | def _store_timestamp(self, timestamp):
"""If not already saved, cache the first timestamp in the active trace
file on the instance.
"""
if getattr(self, 'first_timestamp', None) is None:
self.first_timestamp = timestamp
LOG.debug("Storing %d as the first timestamp... | python | def _store_timestamp(self, timestamp):
"""If not already saved, cache the first timestamp in the active trace
file on the instance.
"""
if getattr(self, 'first_timestamp', None) is None:
self.first_timestamp = timestamp
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openxc/openxc-python | openxc/sources/trace.py | TraceDataSource.read | def read(self):
"""Read a line of data from the input source at a time."""
line = self.trace_file.readline()
if line == '':
if self.loop:
self._reopen_file()
else:
self.trace_file.close()
self.trace_file = None
... | python | def read(self):
"""Read a line of data from the input source at a time."""
line = self.trace_file.readline()
if line == '':
if self.loop:
self._reopen_file()
else:
self.trace_file.close()
self.trace_file = None
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openxc/openxc-python | openxc/sources/trace.py | TraceDataSource._open_file | def _open_file(filename):
"""Attempt to open the the file at ``filename`` for reading.
Raises:
DataSourceError, if the file cannot be opened.
"""
if filename is None:
raise DataSourceError("Trace filename is not defined")
try:
trace_file = op... | python | def _open_file(filename):
"""Attempt to open the the file at ``filename`` for reading.
Raises:
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"""
if filename is None:
raise DataSourceError("Trace filename is not defined")
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openxc/openxc-python | openxc/sources/trace.py | TraceDataSource._wait | def _wait(starting_time, first_timestamp, timestamp):
"""Given that the first timestamp in the trace file is
``first_timestamp`` and we started playing back the file at
``starting_time``, block until the current ``timestamp`` should occur.
"""
target_time = starting_time + (times... | python | def _wait(starting_time, first_timestamp, timestamp):
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"""
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openxc/openxc-python | openxc/generator/xml_to_json.py | XMLBackedSignal.from_xml_node | def from_xml_node(cls, node):
"""Construct a Signal instance from an XML node exported from a Vector
CANoe .dbc file."""
return cls(name=node.find("Name").text,
bit_position=int(node.find("Bitposition").text),
bit_size=int(node.find("Bitsize").text),
... | python | def from_xml_node(cls, node):
"""Construct a Signal instance from an XML node exported from a Vector
CANoe .dbc file."""
return cls(name=node.find("Name").text,
bit_position=int(node.find("Bitposition").text),
bit_size=int(node.find("Bitsize").text),
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openxc/openxc-python | openxc/sources/base.py | SourceLogger.run | def run(self):
"""Continuously read data from the source and attempt to parse a valid
message from the buffer of bytes. When a message is parsed, passes it
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"""
message_buffer = b""
while self.running:
try:
mes... | python | def run(self):
"""Continuously read data from the source and attempt to parse a valid
message from the buffer of bytes. When a message is parsed, passes it
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"""
message_buffer = b""
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dfm/celerite | celerite/celerite.py | GP.compute | def compute(self, t, yerr=1.123e-12, check_sorted=True,
A=None, U=None, V=None):
"""
Compute the extended form of the covariance matrix and factorize
Args:
x (array[n]): The independent coordinates of the data points.
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"""
Compute the extended form of the covariance matrix and factorize
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x (array[n]): The independent coordinates of the data points.
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dfm/celerite | celerite/celerite.py | GP.log_likelihood | def log_likelihood(self, y, _const=math.log(2.0*math.pi), quiet=False):
"""
Compute the marginalized likelihood of the GP model
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y (array[n]): The ob... | python | def log_likelihood(self, y, _const=math.log(2.0*math.pi), quiet=False):
"""
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dfm/celerite | celerite/celerite.py | GP.grad_log_likelihood | def grad_log_likelihood(self, y, quiet=False):
"""
Compute the gradient of the marginalized likelihood
The factorized matrix from the previous call to :func:`GP.compute` is
used so ``compute`` must be called first. The gradient is taken with
respect to the parameters returned by... | python | def grad_log_likelihood(self, y, quiet=False):
"""
Compute the gradient of the marginalized likelihood
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dfm/celerite | celerite/celerite.py | GP.apply_inverse | def apply_inverse(self, y):
"""
Apply the inverse of the covariance matrix to a vector or matrix
Solve ``K.x = y`` for ``x`` where ``K`` is the covariance matrix of
the GP with the white noise and ``yerr`` components included on the
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y (array[... | python | def apply_inverse(self, y):
"""
Apply the inverse of the covariance matrix to a vector or matrix
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the GP with the white noise and ``yerr`` components included on the
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dfm/celerite | celerite/celerite.py | GP.dot | def dot(self, y, t=None, A=None, U=None, V=None, kernel=None,
check_sorted=True):
"""
Dot the covariance matrix into a vector or matrix
Compute ``K.y`` where ``K`` is the covariance matrix of the GP without
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Args:
... | python | def dot(self, y, t=None, A=None, U=None, V=None, kernel=None,
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Dot the covariance matrix into a vector or matrix
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dfm/celerite | celerite/celerite.py | GP.predict | def predict(self, y, t=None, return_cov=True, return_var=False):
"""
Compute the conditional predictive distribution of the model
You must call :func:`GP.compute` before this method.
Args:
y (array[n]): The observations at coordinates ``x`` from
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"""
Compute the conditional predictive distribution of the model
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dfm/celerite | celerite/celerite.py | GP.get_matrix | def get_matrix(self, x1=None, x2=None, include_diagonal=None,
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Get the covariance matrix at given independent coordinates
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x1 (Optional[array[n1]]): The first set of independent coordinates.
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dfm/celerite | celerite/celerite.py | GP.sample | def sample(self, size=None):
"""
Sample from the prior distribution over datasets
Args:
size (Optional[int]): The number of samples to draw.
Returns:
array[n] or array[size, n]: The samples from the prior
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"""
... | python | def sample(self, size=None):
"""
Sample from the prior distribution over datasets
Args:
size (Optional[int]): The number of samples to draw.
Returns:
array[n] or array[size, n]: The samples from the prior
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dfm/celerite | celerite/terms.py | Term.get_value | def get_value(self, tau):
"""
Compute the value of the term for an array of lags
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tau (array[...]): An array of lags where the term should be
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Returns:
The value of the term for each ``tau``. This will have the same
sha... | python | def get_value(self, tau):
"""
Compute the value of the term for an array of lags
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tau (array[...]): An array of lags where the term should be
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dfm/celerite | celerite/terms.py | Term.get_psd | def get_psd(self, omega):
"""
Compute the PSD of the term for an array of angular frequencies
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omega (array[...]): An array of frequencies where the PSD should
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Returns:
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dfm/celerite | celerite/terms.py | Term.coefficients | def coefficients(self):
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shoyer/h5netcdf | h5netcdf/core.py | Group._determine_current_dimension_size | def _determine_current_dimension_size(self, dim_name, max_size):
"""
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"""
# Limited dimension.
if self.dimensions[dim_name] is not None:
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shoyer/h5netcdf | h5netcdf/core.py | Group._create_dim_scales | def _create_dim_scales(self):
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shoyer/h5netcdf | h5netcdf/core.py | Group._attach_dim_scales | def _attach_dim_scales(self):
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shoyer/h5netcdf | h5netcdf/core.py | Group.resize_dimension | def resize_dimension(self, dimension, size):
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vijayvarma392/surfinBH | surfinBH/_utils.py | alignVec_quat | def alignVec_quat(vec):
"""Returns a unit quaternion that will align vec with the z-axis"""
alpha = np.arctan2(vec[1], vec[0])
beta = np.arccos(vec[2])
gamma = -alpha*vec[2]
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sb*n... | python | def alignVec_quat(vec):
"""Returns a unit quaternion that will align vec with the z-axis"""
alpha = np.arctan2(vec[1], vec[0])
beta = np.arccos(vec[2])
gamma = -alpha*vec[2]
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vijayvarma392/surfinBH | surfinBH/_utils.py | rotate_in_plane | def rotate_in_plane(chi, phase):
"""For transforming spins between the coprecessing and coorbital frames"""
v = chi.T
sp = np.sin(phase)
cp = np.cos(phase)
res = 1.*v
res[0] = v[0]*cp + v[1]*sp
res[1] = v[1]*cp - v[0]*sp
return res.T | python | def rotate_in_plane(chi, phase):
"""For transforming spins between the coprecessing and coorbital frames"""
v = chi.T
sp = np.sin(phase)
cp = np.cos(phase)
res = 1.*v
res[0] = v[0]*cp + v[1]*sp
res[1] = v[1]*cp - v[0]*sp
return res.T | [
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vijayvarma392/surfinBH | surfinBH/_utils.py | transform_error_coorb_to_inertial | def transform_error_coorb_to_inertial(vec_coorb, vec_err_coorb, orbPhase,
quat_copr):
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vijayvarma392/surfinBH | surfinBH/_fit_evaluators/fit_7dq2.py | Fit7dq2._extra_regression_kwargs | def _extra_regression_kwargs(self):
""" List of additional kwargs to use in regression tests.
"""
# larger than default sometimes needed when extrapolating
omega_switch_test = 0.019
extra_args = []
extra_args.append({
'omega0': 5e-3,
'PN_approxim... | python | def _extra_regression_kwargs(self):
""" List of additional kwargs to use in regression tests.
"""
# larger than default sometimes needed when extrapolating
omega_switch_test = 0.019
extra_args = []
extra_args.append({
'omega0': 5e-3,
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vijayvarma392/surfinBH | surfinBH/_fit_evaluators/fit_7dq2.py | Fit7dq2._evolve_spins | def _evolve_spins(self, q, chiA0, chiB0, omega0, PN_approximant,
PN_dt, PN_spin0, PN_phase0, omega0_nrsur):
""" Evolves spins of the component BHs from an initial orbital
frequency = omega0 until t=-100 M from the peak of the waveform.
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PN_dt, PN_spin0, PN_phase0, omega0_nrsur):
""" Evolves spins of the component BHs from an initial orbital
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vijayvarma392/surfinBH | surfinBH/_fit_evaluators/fit_7dq2.py | Fit7dq2._eval_wrapper | def _eval_wrapper(self, fit_key, q, chiA, chiB, **kwargs):
"""Evaluates the surfinBH7dq2 model.
"""
chiA = np.array(chiA)
chiB = np.array(chiB)
# Warn/Exit if extrapolating
allow_extrap = kwargs.pop('allow_extrap', False)
self._check_param_limits(q, chiA, chiB, a... | python | def _eval_wrapper(self, fit_key, q, chiA, chiB, **kwargs):
"""Evaluates the surfinBH7dq2 model.
"""
chiA = np.array(chiA)
chiB = np.array(chiB)
# Warn/Exit if extrapolating
allow_extrap = kwargs.pop('allow_extrap', False)
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vijayvarma392/surfinBH | surfinBH/_loadFits.py | LoadFits | def LoadFits(name):
""" Loads data for a fit.
If data is not available, downloads it before loading.
"""
if name not in fits_collection.keys():
raise Exception('Invalid fit name : %s'%name)
else:
testPath = DataPath() + '/' + fits_collection[name].data_url.split('/')[-1]
if (... | python | def LoadFits(name):
""" Loads data for a fit.
If data is not available, downloads it before loading.
"""
if name not in fits_collection.keys():
raise Exception('Invalid fit name : %s'%name)
else:
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vijayvarma392/surfinBH | surfinBH/_fit_evaluators/fit_3dq8.py | Fit3dq8._eval_wrapper | def _eval_wrapper(self, fit_key, q, chiA, chiB, **kwargs):
""" Evaluates the surfinBH3dq8 model.
"""
chiA = np.array(chiA)
chiB = np.array(chiB)
# Warn/Exit if extrapolating
allow_extrap = kwargs.pop('allow_extrap', False)
self._check_param_limits(q, chiA, chiB, ... | python | def _eval_wrapper(self, fit_key, q, chiA, chiB, **kwargs):
""" Evaluates the surfinBH3dq8 model.
"""
chiA = np.array(chiA)
chiB = np.array(chiB)
# Warn/Exit if extrapolating
allow_extrap = kwargs.pop('allow_extrap', False)
self._check_param_limits(q, chiA, chiB, ... | [
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vijayvarma392/surfinBH | surfinBH/_lal_spin_evolution.py | evolve_pn_spins | def evolve_pn_spins(q, chiA0, chiB0, omega0, omegaTimesM_final,
approximant='SpinTaylorT4', dt=0.1, spinO=7, phaseO=7):
""" Evolves PN spins from a starting orbital frequency and spins to a final
frequency.
Inputs:
q: Mass ratio (q>=1)
chiA0: Dimless sp... | python | def evolve_pn_spins(q, chiA0, chiB0, omega0, omegaTimesM_final,
approximant='SpinTaylorT4', dt=0.1, spinO=7, phaseO=7):
""" Evolves PN spins from a starting orbital frequency and spins to a final
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q: Mass ratio (q>=1)
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crossbario/zlmdb | zlmdb/_pmap.py | qual | def qual(obj):
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return u'{}.{}'.format(obj.__class__.__module__, obj.__class__.__name__) | python | def qual(obj):
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Return fully qualified name of a class.
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crossbario/zlmdb | zlmdb/_pmap.py | PersistentMap.count | def count(self, txn, prefix=None):
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Count number of records in the persistent map. When no prefix
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"""
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crossbario/zlmdb | zlmdb/_pmap.py | PersistentMap.count_range | def count_range(self, txn, from_key, to_key):
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:type txn: :class:`zlmdb.Transaction`
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vijayvarma392/surfinBH | surfinBH/surfinBH.py | SurFinBH._read_dict | def _read_dict(self, f):
""" Converts h5 groups to dictionaries
"""
d = {}
for k, item in f.items():
if type(item) == h5py._hl.dataset.Dataset:
v = item.value
if type(v) == np.string_:
v = str(v)
if type(v) =... | python | def _read_dict(self, f):
""" Converts h5 groups to dictionaries
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d = {}
for k, item in f.items():
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vijayvarma392/surfinBH | surfinBH/surfinBH.py | SurFinBH._load_scalar_fit | def _load_scalar_fit(self, fit_key=None, h5file=None, fit_data=None):
""" Loads a single fit
"""
if (fit_key is None) ^ (h5file is None):
raise ValueError("Either specify both fit_key and h5file, or"
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if not ((fit_key is None) ^ (fit_data is None))... | python | def _load_scalar_fit(self, fit_key=None, h5file=None, fit_data=None):
""" Loads a single fit
"""
if (fit_key is None) ^ (h5file is None):
raise ValueError("Either specify both fit_key and h5file, or"
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vijayvarma392/surfinBH | surfinBH/surfinBH.py | SurFinBH._load_vector_fit | def _load_vector_fit(self, fit_key, h5file):
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for i in range(len(h5file[fit_key].keys())):
fit_data = self._read_dict(h5file[fit_key]['comp_%d'%i])
vector_fit.append(self._load_scalar_fit(fit_data=fit_data))
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vector_fit.append(self._load_scalar_fit(fit_data=fit_data))
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""" Return the default path for fit data h5 files"""
return os.path.abspath('%s/data'%(os.path.dirname( \
os.path.realpath(__file__)))) | python | def DataPath():
""" Return the default path for fit data h5 files"""
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openid/JWTConnect-Python-OidcService | src/oidcservice/service.py | init_services | def init_services(service_definitions, service_context, state_db,
client_authn_factory=None):
"""
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:param service_context: A reference to the service context, this is the same
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openid/JWTConnect-Python-OidcService | src/oidcservice/service.py | Service.method_args | def method_args(self, context, **kwargs):
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:param kwargs: A set of keyword arguments that are added at run-time.
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openid/JWTConnect-Python-OidcService | src/oidcservice/service.py | Service.construct | def construct(self, request_args=None, **kwargs):
"""
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openid/JWTConnect-Python-OidcService | src/oidcservice/service.py | Service.init_authentication_method | def init_authentication_method(self, request, authn_method,
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openid/JWTConnect-Python-OidcService | src/oidcservice/service.py | Service.construct_request | def construct_request(self, request_args=None, **kwargs):
"""
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openid/JWTConnect-Python-OidcService | src/oidcservice/service.py | Service.get_endpoint | def get_endpoint(self):
"""
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"""
if self.endpoint:
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return self.service_context.provider_info[self.endpoint_name] | python | def get_endpoint(self):
"""
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openid/JWTConnect-Python-OidcService | src/oidcservice/service.py | Service.get_authn_header | def get_authn_header(self, request, authn_method, **kwargs):
"""
Construct an authorization specification to be sent in the
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:param request: The service request
:param authn_method: Which authentication/authorization method to use
:param kwargs: Extra keyword... | python | def get_authn_header(self, request, authn_method, **kwargs):
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Construct an authorization specification to be sent in the
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openid/JWTConnect-Python-OidcService | src/oidcservice/service.py | Service.get_request_parameters | def get_request_parameters(self, request_body_type="", method="",
authn_method='', request_args=None,
http_args=None, **kwargs):
"""
Builds the request message and constructs the HTTP headers.
This is the starting point for a pipelin... | python | def get_request_parameters(self, request_body_type="", method="",
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# If info is a whole URL pick out the query or fragment part
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"""
Pick out the fragment or query part from a URL.
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openid/JWTConnect-Python-OidcService | src/oidcservice/service.py | Service.get_conf_attr | def get_conf_attr(self, attr, default=None):
"""
Get the value of a attribute in the configuration
:param attr: The attribute
:param default: If the attribute doesn't appear in the configuration
return this value
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Get the value of a attribute in the configuration
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openid/JWTConnect-Python-OidcService | src/oidcservice/oauth2/authorization.py | Authorization.post_parse_response | def post_parse_response(self, response, **kwargs):
"""
Add scope claim to response, from the request, if not present in the
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:param response: The response
:param kwargs: Extra Keyword arguments
:return: A possibly augmented response
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"""
Add scope claim to response, from the request, if not present in the
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openid/JWTConnect-Python-OidcService | src/oidcservice/oidc/end_session.py | EndSession.get_id_token_hint | def get_id_token_hint(self, request_args=None, **kwargs):
"""
Add id_token_hint to request
:param request_args:
:param kwargs:
:return:
"""
request_args = self.multiple_extend_request_args(
request_args, kwargs['state'], ['id_token'],
['au... | python | def get_id_token_hint(self, request_args=None, **kwargs):
"""
Add id_token_hint to request
:param request_args:
:param kwargs:
:return:
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request_args = self.multiple_extend_request_args(
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openid/JWTConnect-Python-OidcService | src/oidcservice/state_interface.py | StateInterface.get_state | def get_state(self, key):
"""
Get the state connected to a given key.
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:return: A :py:class:´oidcservice.state_interface.State` instance
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... | python | def get_state(self, key):
"""
Get the state connected to a given key.
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openid/JWTConnect-Python-OidcService | src/oidcservice/state_interface.py | StateInterface.store_item | def store_item(self, item, item_type, key):
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Store a service response.
:param item: The item as a :py:class:`oidcmsg.message.Message`
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"""
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openid/JWTConnect-Python-OidcService | src/oidcservice/state_interface.py | StateInterface.get_iss | def get_iss(self, key):
"""
Get the Issuer ID
:param key: Key to the information in the state database
:return: The issuer ID
"""
_state = self.get_state(key)
if not _state:
raise KeyError(key)
return _state['iss'] | python | def get_iss(self, key):
"""
Get the Issuer ID
:param key: Key to the information in the state database
:return: The issuer ID
"""
_state = self.get_state(key)
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openid/JWTConnect-Python-OidcService | src/oidcservice/state_interface.py | StateInterface.extend_request_args | def extend_request_args(self, args, item_cls, item_type, key,
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"""
Add a set of parameters and their value to a set of request arguments.
:param args: A dictionary
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openid/JWTConnect-Python-OidcService | src/oidcservice/state_interface.py | StateInterface.get_state_by_X | def get_state_by_X(self, x, xtyp):
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openid/JWTConnect-Python-OidcService | src/oidcservice/service_context.py | ServiceContext.import_keys | def import_keys(self, keyspec):
"""
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This method can also fetch other entities keys provided the
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:param keyspec:
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openid/JWTConnect-Python-OidcService | src/oidcservice/client_auth.py | assertion_jwt | def assertion_jwt(client_id, keys, audience, algorithm, lifetime=600):
"""
Create a signed Json Web Token containing some information.
:param client_id: The Client ID
:param keys: Signing keys
:param audience: Who is the receivers for this assertion
:param algorithm: Signing algorithm
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"""
Create a signed Json Web Token containing some information.
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:param keys: Signing keys
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openid/JWTConnect-Python-OidcService | src/oidcservice/client_auth.py | valid_service_context | def valid_service_context(service_context, when=0):
"""
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"""
Check if the client_secret has expired
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openid/JWTConnect-Python-OidcService | src/oidcservice/client_auth.py | ClientSecretBasic.construct | def construct(self, request, service=None, http_args=None, **kwargs):
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openid/JWTConnect-Python-OidcService | src/oidcservice/client_auth.py | BearerBody.construct | def construct(self, request, service=None, http_args=None, **kwargs):
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openid/JWTConnect-Python-OidcService | src/oidcservice/client_auth.py | JWSAuthnMethod.choose_algorithm | def choose_algorithm(self, context, **kwargs):
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:return: Name of a signing algorithm
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openid/JWTConnect-Python-OidcService | src/oidcservice/client_auth.py | JWSAuthnMethod.construct | def construct(self, request, service=None, http_args=None, **kwargs):
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openid/JWTConnect-Python-OidcService | src/oidcservice/oauth2/provider_info_discovery.py | ProviderInfoDiscovery.get_endpoint | def get_endpoint(self):
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openid/JWTConnect-Python-OidcService | src/oidcservice/util.py | get_http_url | def get_http_url(url, req, method='GET'):
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Add a query part representing the request to a url that may already contain
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openid/JWTConnect-Python-OidcService | src/oidcservice/util.py | get_http_body | def get_http_body(req, content_type=URL_ENCODED):
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openid/JWTConnect-Python-OidcService | src/oidcservice/util.py | importer | def importer(name):
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openid/JWTConnect-Python-OidcService | src/oidcservice/__init__.py | rndstr | def rndstr(size=16):
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openid/JWTConnect-Python-OidcService | src/oidcservice/oidc/provider_info_discovery.py | add_redirect_uris | def add_redirect_uris(request_args, service=None, **kwargs):
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openid/JWTConnect-Python-OidcService | src/oidcservice/oidc/provider_info_discovery.py | ProviderInfoDiscovery.match_preferences | def match_preferences(self, pcr=None, issuer=None):
"""
Match the clients preferences against what the provider can do.
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"""
Match the clients preferences against what the provider can do.
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skoczen/django-seo-js | django_seo_js/backends/prerender.py | PrerenderIO.get_response_for_url | def get_response_for_url(self, url):
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lock8/django-rest-framework-jwt-refresh-token | refreshtoken/serializers.py | RefreshTokenSerializer.create | def create(self, validated_data):
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Aula13/poloniex | poloniex/concurrency.py | Semaphore.clear | def clear(self):
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Aula13/poloniex | poloniex/poloniex.py | _api_wrapper | def _api_wrapper(fn):
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Aula13/poloniex | poloniex/poloniex.py | PoloniexPublic.returnOrderBook | def returnOrderBook(self, currencyPair='all', depth='50'):
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Aula13/poloniex | poloniex/poloniex.py | Poloniex.returnDepositsWithdrawals | def returnDepositsWithdrawals(self, start=0, end=2**32-1):
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Aula13/poloniex | poloniex/poloniex.py | Poloniex.buy | def buy(self, currencyPair, rate, amount, fillOrKill=None,
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Aula13/poloniex | poloniex/poloniex.py | Poloniex.moveOrder | def moveOrder(self, orderNumber, rate, amount=None, postOnly=None,
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Aula13/poloniex | poloniex/poloniex.py | Poloniex.withdraw | def withdraw(self, currency, amount, address, paymentId=None):
"""Immediately places a withdrawal for a given currency, with no email
confirmation. In order to use this method, the withdrawal privilege
must be enabled for your API key. Required POST parameters are
"currency", "amount", a... | python | def withdraw(self, currency, amount, address, paymentId=None):
"""Immediately places a withdrawal for a given currency, with no email
confirmation. In order to use this method, the withdrawal privilege
must be enabled for your API key. Required POST parameters are
"currency", "amount", a... | [
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