body_hash stringlengths 64 64 | body stringlengths 23 109k | docstring stringlengths 1 57k | path stringlengths 4 198 | name stringlengths 1 115 | repository_name stringlengths 7 111 | repository_stars float64 0 191k | lang stringclasses 1
value | body_without_docstring stringlengths 14 108k | unified stringlengths 45 133k |
|---|---|---|---|---|---|---|---|---|---|
6b4e25695b40673bfcf1bc66a8fa5f29e3a7528caca966a2f23a8727eadd40f8 | def get_data_magnification(self, bad=False):
'\n Calculates the model magnification for each data point.\n\n Arguments :\n bad: *boolean*\n If *True*, calculates the magnification for all points.\n If *False*, only calculates the magnification for good data\n ... | Calculates the model magnification for each data point.
Arguments :
bad: *boolean*
If *True*, calculates the magnification for all points.
If *False*, only calculates the magnification for good data
points. Values for bad data points are set to 0. Default is
*False*.
Returns :
... | source/MulensModel/fitdata.py | get_data_magnification | rpoleski/MulensModel | 30 | python | def get_data_magnification(self, bad=False):
'\n Calculates the model magnification for each data point.\n\n Arguments :\n bad: *boolean*\n If *True*, calculates the magnification for all points.\n If *False*, only calculates the magnification for good data\n ... | def get_data_magnification(self, bad=False):
'\n Calculates the model magnification for each data point.\n\n Arguments :\n bad: *boolean*\n If *True*, calculates the magnification for all points.\n If *False*, only calculates the magnification for good data\n ... |
15dd0ded6046238c6d9428e585a0a9dc6f548f893790d5d96fb5d3a1d547d702 | def get_model_fluxes(self, bad=False):
'\n Calculate model in flux space.\n\n Keywords :\n bad: *bool*\n Default is *False*. If *True* recalculates the data\n magnification for each point to ensure that the values\n for bad datapoints are calcula... | Calculate model in flux space.
Keywords :
bad: *bool*
Default is *False*. If *True* recalculates the data
magnification for each point to ensure that the values
for bad datapoints are calculated (otherwise, they are set to
the magnitude of the blend).
Returns :
model_flux: *np.... | source/MulensModel/fitdata.py | get_model_fluxes | rpoleski/MulensModel | 30 | python | def get_model_fluxes(self, bad=False):
'\n Calculate model in flux space.\n\n Keywords :\n bad: *bool*\n Default is *False*. If *True* recalculates the data\n magnification for each point to ensure that the values\n for bad datapoints are calcula... | def get_model_fluxes(self, bad=False):
'\n Calculate model in flux space.\n\n Keywords :\n bad: *bool*\n Default is *False*. If *True* recalculates the data\n magnification for each point to ensure that the values\n for bad datapoints are calcula... |
3464ae98c57670868c6970f15cf27fe9950758269ceb7ce79bf375a3249828d3 | def get_model_magnitudes(self, **kwargs):
'\n Calculate model in magnitude space\n\n Arguments :\n ``**kwargs``:\n see :py:func:`get_model_fluxes()`\n\n Returns :\n model_mag: *np.ndarray*\n The model magnitude evaluated for each datapoint.\n ... | Calculate model in magnitude space
Arguments :
``**kwargs``:
see :py:func:`get_model_fluxes()`
Returns :
model_mag: *np.ndarray*
The model magnitude evaluated for each datapoint. | source/MulensModel/fitdata.py | get_model_magnitudes | rpoleski/MulensModel | 30 | python | def get_model_magnitudes(self, **kwargs):
'\n Calculate model in magnitude space\n\n Arguments :\n ``**kwargs``:\n see :py:func:`get_model_fluxes()`\n\n Returns :\n model_mag: *np.ndarray*\n The model magnitude evaluated for each datapoint.\n ... | def get_model_magnitudes(self, **kwargs):
'\n Calculate model in magnitude space\n\n Arguments :\n ``**kwargs``:\n see :py:func:`get_model_fluxes()`\n\n Returns :\n model_mag: *np.ndarray*\n The model magnitude evaluated for each datapoint.\n ... |
367fe883a5ed827e07862af5c0d43b255ba489c36958065101d9ee9f96103889 | def scale_fluxes(self, source_flux, blend_flux):
'\n Rescale the data fluxes to an arbitrary flux scale:\n flux = source_flux_0 * (data.flux - blend_flux) / source_flux\n flux += blend_flux_0\n err_flux = source_flux_0 * data.err_flux / source_flux\n\n Arguments :\n ... | Rescale the data fluxes to an arbitrary flux scale:
flux = source_flux_0 * (data.flux - blend_flux) / source_flux
flux += blend_flux_0
err_flux = source_flux_0 * data.err_flux / source_flux
Arguments :
source_flux: *float*, *list*, *np.array*
Flux of the source in the desired system. If n_sourc... | source/MulensModel/fitdata.py | scale_fluxes | rpoleski/MulensModel | 30 | python | def scale_fluxes(self, source_flux, blend_flux):
'\n Rescale the data fluxes to an arbitrary flux scale:\n flux = source_flux_0 * (data.flux - blend_flux) / source_flux\n flux += blend_flux_0\n err_flux = source_flux_0 * data.err_flux / source_flux\n\n Arguments :\n ... | def scale_fluxes(self, source_flux, blend_flux):
'\n Rescale the data fluxes to an arbitrary flux scale:\n flux = source_flux_0 * (data.flux - blend_flux) / source_flux\n flux += blend_flux_0\n err_flux = source_flux_0 * data.err_flux / source_flux\n\n Arguments :\n ... |
c1fe51b61c158e493410f050b788e0cecc37cfcd2ce2f46bf4087c2b1faa5079 | def get_residuals(self, phot_fmt=None, source_flux=None, blend_flux=None, bad=False, type=None):
'\n Calculate the residuals for each datapoint relative to the model.\n\n Keywords :\n phot_fmt: *str*, optional\n specify whether the residuals should be returned in\n ... | Calculate the residuals for each datapoint relative to the model.
Keywords :
phot_fmt: *str*, optional
specify whether the residuals should be returned in
magnitudes ('mag') or in flux ('flux'). Default is
'mag'. If 'scaled', will return the residuals in magnitudes
scaled to source_... | source/MulensModel/fitdata.py | get_residuals | rpoleski/MulensModel | 30 | python | def get_residuals(self, phot_fmt=None, source_flux=None, blend_flux=None, bad=False, type=None):
'\n Calculate the residuals for each datapoint relative to the model.\n\n Keywords :\n phot_fmt: *str*, optional\n specify whether the residuals should be returned in\n ... | def get_residuals(self, phot_fmt=None, source_flux=None, blend_flux=None, bad=False, type=None):
'\n Calculate the residuals for each datapoint relative to the model.\n\n Keywords :\n phot_fmt: *str*, optional\n specify whether the residuals should be returned in\n ... |
a8e1a4cee9dd6bd5c2a188d008b1f8e1eb1eec1045630de0b5632063739666bf | def _check_for_gradient_implementation(self, parameters):
' Check that the gradient methods are implemented for the requested\n values. '
if (not isinstance(parameters, list)):
parameters = [parameters]
implemented = {'t_0', 't_E', 'u_0', 't_eff', 'pi_E_N', 'pi_E_E'}
if (len((set(paramete... | Check that the gradient methods are implemented for the requested
values. | source/MulensModel/fitdata.py | _check_for_gradient_implementation | rpoleski/MulensModel | 30 | python | def _check_for_gradient_implementation(self, parameters):
' Check that the gradient methods are implemented for the requested\n values. '
if (not isinstance(parameters, list)):
parameters = [parameters]
implemented = {'t_0', 't_E', 'u_0', 't_eff', 'pi_E_N', 'pi_E_E'}
if (len((set(paramete... | def _check_for_gradient_implementation(self, parameters):
' Check that the gradient methods are implemented for the requested\n values. '
if (not isinstance(parameters, list)):
parameters = [parameters]
implemented = {'t_0', 't_E', 'u_0', 't_eff', 'pi_E_N', 'pi_E_E'}
if (len((set(paramete... |
a46a08d94f802dd8b85fc229a2344b73024f392c9a9b3f861a3173a8897a08f2 | def get_chi2_gradient(self, parameters):
'\n Fits fluxes and calculates chi^2 gradient (also called Jacobian), i.e.,\n :math:`d chi^2/d parameter`.\n\n Parameters :\n parameters: *str* or *list*, required\n Parameters with respect to which gradient is calculated.\n ... | Fits fluxes and calculates chi^2 gradient (also called Jacobian), i.e.,
:math:`d chi^2/d parameter`.
Parameters :
parameters: *str* or *list*, required
Parameters with respect to which gradient is calculated.
Currently accepted parameters are: ``t_0``, ``u_0``, ``t_eff``,
``t_E``, ``pi_E_N`... | source/MulensModel/fitdata.py | get_chi2_gradient | rpoleski/MulensModel | 30 | python | def get_chi2_gradient(self, parameters):
'\n Fits fluxes and calculates chi^2 gradient (also called Jacobian), i.e.,\n :math:`d chi^2/d parameter`.\n\n Parameters :\n parameters: *str* or *list*, required\n Parameters with respect to which gradient is calculated.\n ... | def get_chi2_gradient(self, parameters):
'\n Fits fluxes and calculates chi^2 gradient (also called Jacobian), i.e.,\n :math:`d chi^2/d parameter`.\n\n Parameters :\n parameters: *str* or *list*, required\n Parameters with respect to which gradient is calculated.\n ... |
c93e0e600269061c2eb7f5b9b97213e8147051330bbb49041a25e616cb9f07f9 | def calculate_chi2_gradient(self, parameters):
'\n Calculates chi^2 gradient (also called Jacobian), i.e.,\n :math:`d chi^2/d parameter` WITHOUT refitting for the fluxes. Saves\n computations if, e.g., you want to retrieve both py:attr:`~chi2` and\n py:attr:`~chi2_gradient`.\n\n P... | Calculates chi^2 gradient (also called Jacobian), i.e.,
:math:`d chi^2/d parameter` WITHOUT refitting for the fluxes. Saves
computations if, e.g., you want to retrieve both py:attr:`~chi2` and
py:attr:`~chi2_gradient`.
Parameters :
parameters: *str* or *list*, required
Parameters with respect to which grad... | source/MulensModel/fitdata.py | calculate_chi2_gradient | rpoleski/MulensModel | 30 | python | def calculate_chi2_gradient(self, parameters):
'\n Calculates chi^2 gradient (also called Jacobian), i.e.,\n :math:`d chi^2/d parameter` WITHOUT refitting for the fluxes. Saves\n computations if, e.g., you want to retrieve both py:attr:`~chi2` and\n py:attr:`~chi2_gradient`.\n\n P... | def calculate_chi2_gradient(self, parameters):
'\n Calculates chi^2 gradient (also called Jacobian), i.e.,\n :math:`d chi^2/d parameter` WITHOUT refitting for the fluxes. Saves\n computations if, e.g., you want to retrieve both py:attr:`~chi2` and\n py:attr:`~chi2_gradient`.\n\n P... |
5658b422fa504a5de4c25f8f07e59a78a3217743a6fc915dee056e7a91e24a0d | @property
def chi2_gradient(self):
'\n Return previously calculated chi^2 gradient (also called Jacobian),\n i.e., :math:`d chi^2/d parameter`. See :py:func:`~get_chi2_gradient()`\n and :py:func:`~calculate_chi2_gradient()`.\n\n Returns :\n gradient: *float* or *np.ndarray*\n ... | Return previously calculated chi^2 gradient (also called Jacobian),
i.e., :math:`d chi^2/d parameter`. See :py:func:`~get_chi2_gradient()`
and :py:func:`~calculate_chi2_gradient()`.
Returns :
gradient: *float* or *np.ndarray*
chi^2 gradient. Will return None if the chi2 gradient was not
previously ... | source/MulensModel/fitdata.py | chi2_gradient | rpoleski/MulensModel | 30 | python | @property
def chi2_gradient(self):
'\n Return previously calculated chi^2 gradient (also called Jacobian),\n i.e., :math:`d chi^2/d parameter`. See :py:func:`~get_chi2_gradient()`\n and :py:func:`~calculate_chi2_gradient()`.\n\n Returns :\n gradient: *float* or *np.ndarray*\n ... | @property
def chi2_gradient(self):
'\n Return previously calculated chi^2 gradient (also called Jacobian),\n i.e., :math:`d chi^2/d parameter`. See :py:func:`~get_chi2_gradient()`\n and :py:func:`~calculate_chi2_gradient()`.\n\n Returns :\n gradient: *float* or *np.ndarray*\n ... |
949a73944bac125e0f847028a4178d87457d53eaca714434900133e9b050b091 | @property
def chi2(self):
'\n Returns :\n chi2: *float*\n the total chi2 for the fitted dataset. Good points only. See\n :py:obj:`~MulensModel.mulensdata.MulensData.good`.\n\n If None, you need to run :py:func:`~update()` to execute the\n linear fit and ... | Returns :
chi2: *float*
the total chi2 for the fitted dataset. Good points only. See
:py:obj:`~MulensModel.mulensdata.MulensData.good`.
If None, you need to run :py:func:`~update()` to execute the
linear fit and calculate the chi2. | source/MulensModel/fitdata.py | chi2 | rpoleski/MulensModel | 30 | python | @property
def chi2(self):
'\n Returns :\n chi2: *float*\n the total chi2 for the fitted dataset. Good points only. See\n :py:obj:`~MulensModel.mulensdata.MulensData.good`.\n\n If None, you need to run :py:func:`~update()` to execute the\n linear fit and ... | @property
def chi2(self):
'\n Returns :\n chi2: *float*\n the total chi2 for the fitted dataset. Good points only. See\n :py:obj:`~MulensModel.mulensdata.MulensData.good`.\n\n If None, you need to run :py:func:`~update()` to execute the\n linear fit and ... |
85382f0366c2df8848e998e05c1a794a06ebbe225f3b7a9bb693f0cb73572f2d | @property
def chi2_per_point(self):
'\n Returns :\n chi2_per_point: *np.ndarray*\n Chi^2 contribution from each data point,\n e.g. ``chi2_per_point[k]`` returns the chi2 contribution\n from the *k*-th point of :py:obj:`dataset`. Includes bad\n ... | Returns :
chi2_per_point: *np.ndarray*
Chi^2 contribution from each data point,
e.g. ``chi2_per_point[k]`` returns the chi2 contribution
from the *k*-th point of :py:obj:`dataset`. Includes bad
datapoints.
If None, you need to run :py:func:`~update()` to execute the
linear fit and c... | source/MulensModel/fitdata.py | chi2_per_point | rpoleski/MulensModel | 30 | python | @property
def chi2_per_point(self):
'\n Returns :\n chi2_per_point: *np.ndarray*\n Chi^2 contribution from each data point,\n e.g. ``chi2_per_point[k]`` returns the chi2 contribution\n from the *k*-th point of :py:obj:`dataset`. Includes bad\n ... | @property
def chi2_per_point(self):
'\n Returns :\n chi2_per_point: *np.ndarray*\n Chi^2 contribution from each data point,\n e.g. ``chi2_per_point[k]`` returns the chi2 contribution\n from the *k*-th point of :py:obj:`dataset`. Includes bad\n ... |
c7b474468c353c138fffa19e1be7263091a8300a0df9f7ab78d36e1cf0e76b81 | @property
def source_flux(self):
'\n Returns :\n source_flux: *float*\n the fitted source flux. Only defined for models with a single\n source. See also :py:obj:`~source_fluxes`\n\n If None, you need to run :py:func:`~fit_fluxes()` or\n :py:func:`~update()` to e... | Returns :
source_flux: *float*
the fitted source flux. Only defined for models with a single
source. See also :py:obj:`~source_fluxes`
If None, you need to run :py:func:`~fit_fluxes()` or
:py:func:`~update()` to execute the linear fit. | source/MulensModel/fitdata.py | source_flux | rpoleski/MulensModel | 30 | python | @property
def source_flux(self):
'\n Returns :\n source_flux: *float*\n the fitted source flux. Only defined for models with a single\n source. See also :py:obj:`~source_fluxes`\n\n If None, you need to run :py:func:`~fit_fluxes()` or\n :py:func:`~update()` to e... | @property
def source_flux(self):
'\n Returns :\n source_flux: *float*\n the fitted source flux. Only defined for models with a single\n source. See also :py:obj:`~source_fluxes`\n\n If None, you need to run :py:func:`~fit_fluxes()` or\n :py:func:`~update()` to e... |
ad62833df35bfd49679c80cd70eb025dfab9e73b9568466b743f38eda6de6f35 | @property
def source_fluxes(self):
'\n Returns :\n source_fluxes: *np.array*\n the fitted source flux(es).\n\n If None, you need to run :py:func:`~fit_fluxes()` or\n :py:func:`~update()` to execute the linear fit.\n '
return self._source_fluxes | Returns :
source_fluxes: *np.array*
the fitted source flux(es).
If None, you need to run :py:func:`~fit_fluxes()` or
:py:func:`~update()` to execute the linear fit. | source/MulensModel/fitdata.py | source_fluxes | rpoleski/MulensModel | 30 | python | @property
def source_fluxes(self):
'\n Returns :\n source_fluxes: *np.array*\n the fitted source flux(es).\n\n If None, you need to run :py:func:`~fit_fluxes()` or\n :py:func:`~update()` to execute the linear fit.\n '
return self._source_fluxes | @property
def source_fluxes(self):
'\n Returns :\n source_fluxes: *np.array*\n the fitted source flux(es).\n\n If None, you need to run :py:func:`~fit_fluxes()` or\n :py:func:`~update()` to execute the linear fit.\n '
return self._source_fluxes<|docstring|>R... |
2dbac7dde4c2faff145595ebaa2a92cac9ae39d774a91376e07004c6888a7451 | @property
def blend_flux(self):
'\n Returns :\n blend_flux: *float*\n the fitted blend flux or the value set by\n fix_blend_flux (see :ref:`keywords`).\n\n If None, you need to run :py:func:`~fit_fluxes()` or\n :py:func:`~update()` to execute the linear ... | Returns :
blend_flux: *float*
the fitted blend flux or the value set by
fix_blend_flux (see :ref:`keywords`).
If None, you need to run :py:func:`~fit_fluxes()` or
:py:func:`~update()` to execute the linear fit. | source/MulensModel/fitdata.py | blend_flux | rpoleski/MulensModel | 30 | python | @property
def blend_flux(self):
'\n Returns :\n blend_flux: *float*\n the fitted blend flux or the value set by\n fix_blend_flux (see :ref:`keywords`).\n\n If None, you need to run :py:func:`~fit_fluxes()` or\n :py:func:`~update()` to execute the linear ... | @property
def blend_flux(self):
'\n Returns :\n blend_flux: *float*\n the fitted blend flux or the value set by\n fix_blend_flux (see :ref:`keywords`).\n\n If None, you need to run :py:func:`~fit_fluxes()` or\n :py:func:`~update()` to execute the linear ... |
dd1a23afbb6e672f9b9f1e35197931c8b2e95ecd1f67de2c89a22601d05b8240 | @property
def source_flux_ratio(self):
'\n source_flux_ratio = source_flux_1 / source_flux_0\n\n Returns :\n source_flux_ratio: *float*\n the ratio of the fitted source fluxes or the value set by\n fix_source_flux_ratio (see :ref:`keywords`).\n\n If None... | source_flux_ratio = source_flux_1 / source_flux_0
Returns :
source_flux_ratio: *float*
the ratio of the fitted source fluxes or the value set by
fix_source_flux_ratio (see :ref:`keywords`).
If None, you need to run :py:func:`~fit_fluxes()` or
:py:func:`~update()` to execute the linear fit. | source/MulensModel/fitdata.py | source_flux_ratio | rpoleski/MulensModel | 30 | python | @property
def source_flux_ratio(self):
'\n source_flux_ratio = source_flux_1 / source_flux_0\n\n Returns :\n source_flux_ratio: *float*\n the ratio of the fitted source fluxes or the value set by\n fix_source_flux_ratio (see :ref:`keywords`).\n\n If None... | @property
def source_flux_ratio(self):
'\n source_flux_ratio = source_flux_1 / source_flux_0\n\n Returns :\n source_flux_ratio: *float*\n the ratio of the fitted source fluxes or the value set by\n fix_source_flux_ratio (see :ref:`keywords`).\n\n If None... |
a1c4dacce6a29fef5c3afaa96239ac3a56b26ba2443f727d98136d93e6de1b24 | @property
def dataset(self):
'\n :py:class:`~MulensModel.mulensdata.MulensData` object\n\n A single photometric dataset to be fitted.\n '
return self._dataset | :py:class:`~MulensModel.mulensdata.MulensData` object
A single photometric dataset to be fitted. | source/MulensModel/fitdata.py | dataset | rpoleski/MulensModel | 30 | python | @property
def dataset(self):
'\n :py:class:`~MulensModel.mulensdata.MulensData` object\n\n A single photometric dataset to be fitted.\n '
return self._dataset | @property
def dataset(self):
'\n :py:class:`~MulensModel.mulensdata.MulensData` object\n\n A single photometric dataset to be fitted.\n '
return self._dataset<|docstring|>:py:class:`~MulensModel.mulensdata.MulensData` object
A single photometric dataset to be fitted.<|endoftext|> |
5c1ff6ce49dd4625adc41ed51fcbc0ed6e378ecca6b5737cc7ba8140976acc0b | @property
def model(self):
'\n :py:class:`~MulensModel.model.Model` object\n\n The model to fit to the data.\n '
return self._model | :py:class:`~MulensModel.model.Model` object
The model to fit to the data. | source/MulensModel/fitdata.py | model | rpoleski/MulensModel | 30 | python | @property
def model(self):
'\n :py:class:`~MulensModel.model.Model` object\n\n The model to fit to the data.\n '
return self._model | @property
def model(self):
'\n :py:class:`~MulensModel.model.Model` object\n\n The model to fit to the data.\n '
return self._model<|docstring|>:py:class:`~MulensModel.model.Model` object
The model to fit to the data.<|endoftext|> |
6e99bfafe17cbce9d2071ec88ffb50317368edd2d746ea9d8a1bf43fb04444c1 | @property
def gamma(self):
"\n *float*\n\n Limb-darkening coefficient for this fit. Set by\n :py:attr:`~dataset.bandpass` and\n :py:func:`~model.get_limb_coeff_gamma()`.\n\n *** CHECK LINKS IN SPHINX. PROBABLY WON'T WORK. ***\n "
return self._gamma | *float*
Limb-darkening coefficient for this fit. Set by
:py:attr:`~dataset.bandpass` and
:py:func:`~model.get_limb_coeff_gamma()`.
*** CHECK LINKS IN SPHINX. PROBABLY WON'T WORK. *** | source/MulensModel/fitdata.py | gamma | rpoleski/MulensModel | 30 | python | @property
def gamma(self):
"\n *float*\n\n Limb-darkening coefficient for this fit. Set by\n :py:attr:`~dataset.bandpass` and\n :py:func:`~model.get_limb_coeff_gamma()`.\n\n *** CHECK LINKS IN SPHINX. PROBABLY WON'T WORK. ***\n "
return self._gamma | @property
def gamma(self):
"\n *float*\n\n Limb-darkening coefficient for this fit. Set by\n :py:attr:`~dataset.bandpass` and\n :py:func:`~model.get_limb_coeff_gamma()`.\n\n *** CHECK LINKS IN SPHINX. PROBABLY WON'T WORK. ***\n "
return self._gamma<|docstring|>*float*
... |
d168801738909e9288d07d71ea59e67e6818b5b0400296fc98a22cb9ab77b649 | @abstractmethod
def apply_state_transition_without_block(self, state: BeaconState, slot: Slot, parent_root: Hash32) -> BeaconState:
'\n Advance the ``state`` to the beginning of the requested ``slot``.\n Return the resulting state at that slot assuming there are no\n intervening blocks. This me... | Advance the ``state`` to the beginning of the requested ``slot``.
Return the resulting state at that slot assuming there are no
intervening blocks. This method provides callers with some lookahead into
the future state of the chain, useful for generating RANDAO reveals or
computing future committee assignments.
NOTE: ... | eth2/beacon/state_machines/state_transitions.py | apply_state_transition_without_block | hwwhww/trinity | 2 | python | @abstractmethod
def apply_state_transition_without_block(self, state: BeaconState, slot: Slot, parent_root: Hash32) -> BeaconState:
'\n Advance the ``state`` to the beginning of the requested ``slot``.\n Return the resulting state at that slot assuming there are no\n intervening blocks. This me... | @abstractmethod
def apply_state_transition_without_block(self, state: BeaconState, slot: Slot, parent_root: Hash32) -> BeaconState:
'\n Advance the ``state`` to the beginning of the requested ``slot``.\n Return the resulting state at that slot assuming there are no\n intervening blocks. This me... |
5b2dcefe1e3e32b58af2a5b5bfe30b02091ca1e423b6f8b6f66afe9ca8939b3f | def start_response(self, status, headers, exc_info=None):
'Emulate WSGI start_response.'
self.headers += headers | Emulate WSGI start_response. | tests/test_middleware_cors.py | start_response | checkmate/simpl | 6 | python | def start_response(self, status, headers, exc_info=None):
self.headers += headers | def start_response(self, status, headers, exc_info=None):
self.headers += headers<|docstring|>Emulate WSGI start_response.<|endoftext|> |
74ef2f2467db392ad65f9c870d00532c3b23b30c6da4ab827f420f7e598549f1 | def test_default_bypass(self):
'Default config ignores all calls.'
middleware = cors.CORSMiddleware(debug_app)
env = {'PATH_INFO': '/something/'}
wsgiref.util.setup_testing_defaults(env)
middleware(env.copy(), self.start_response)
self.assertEqual(env['PATH_INFO'], '/something/')
self.assert... | Default config ignores all calls. | tests/test_middleware_cors.py | test_default_bypass | checkmate/simpl | 6 | python | def test_default_bypass(self):
middleware = cors.CORSMiddleware(debug_app)
env = {'PATH_INFO': '/something/'}
wsgiref.util.setup_testing_defaults(env)
middleware(env.copy(), self.start_response)
self.assertEqual(env['PATH_INFO'], '/something/')
self.assertFalse(any(((h[0] == 'Access-Control... | def test_default_bypass(self):
middleware = cors.CORSMiddleware(debug_app)
env = {'PATH_INFO': '/something/'}
wsgiref.util.setup_testing_defaults(env)
middleware(env.copy(), self.start_response)
self.assertEqual(env['PATH_INFO'], '/something/')
self.assertFalse(any(((h[0] == 'Access-Control... |
ddba70cadf0db1b1b621bf76a29386ff4599db37721fded4194231415c0460d3 | def test_netloc(self):
'Netloc match adds headers.'
middleware = cors.CORSMiddleware(debug_app, allowed_netlocs=['localhost'])
env = {'REQUEST_METHOD': 'OPTIONS', 'HTTP_ORIGIN': 'http://localhost'}
wsgiref.util.setup_testing_defaults(env)
middleware(env.copy(), self.start_response)
six.assertCou... | Netloc match adds headers. | tests/test_middleware_cors.py | test_netloc | checkmate/simpl | 6 | python | def test_netloc(self):
middleware = cors.CORSMiddleware(debug_app, allowed_netlocs=['localhost'])
env = {'REQUEST_METHOD': 'OPTIONS', 'HTTP_ORIGIN': 'http://localhost'}
wsgiref.util.setup_testing_defaults(env)
middleware(env.copy(), self.start_response)
six.assertCountEqual(self, self.headers, ... | def test_netloc(self):
middleware = cors.CORSMiddleware(debug_app, allowed_netlocs=['localhost'])
env = {'REQUEST_METHOD': 'OPTIONS', 'HTTP_ORIGIN': 'http://localhost'}
wsgiref.util.setup_testing_defaults(env)
middleware(env.copy(), self.start_response)
six.assertCountEqual(self, self.headers, ... |
0f363cf5180aefa0a042416dc2c438d11d37f04066e82e86f35d40cde1b429e7 | def test_netloc_mismatch(self):
'Netloc match checks ports.'
middleware = cors.CORSMiddleware(debug_app, allowed_netlocs=['localhost:9000'])
env = {'REQUEST_METHOD': 'OPTIONS', 'HTTP_ORIGIN': 'http://localhost:8080'}
wsgiref.util.setup_testing_defaults(env)
middleware(env.copy(), self.start_response... | Netloc match checks ports. | tests/test_middleware_cors.py | test_netloc_mismatch | checkmate/simpl | 6 | python | def test_netloc_mismatch(self):
middleware = cors.CORSMiddleware(debug_app, allowed_netlocs=['localhost:9000'])
env = {'REQUEST_METHOD': 'OPTIONS', 'HTTP_ORIGIN': 'http://localhost:8080'}
wsgiref.util.setup_testing_defaults(env)
middleware(env.copy(), self.start_response)
self.assertFalse(any((... | def test_netloc_mismatch(self):
middleware = cors.CORSMiddleware(debug_app, allowed_netlocs=['localhost:9000'])
env = {'REQUEST_METHOD': 'OPTIONS', 'HTTP_ORIGIN': 'http://localhost:8080'}
wsgiref.util.setup_testing_defaults(env)
middleware(env.copy(), self.start_response)
self.assertFalse(any((... |
0084c372d845968fb059ccc1cce48f9fcc70eb41cac8a797f03584a3ca5168ed | def test_hostname(self):
'Hostname matches any port and adds headers.'
middleware = cors.CORSMiddleware(debug_app, allowed_hostnames=['localhost'])
env = {'REQUEST_METHOD': 'OPTIONS', 'HTTP_ORIGIN': 'http://localhost:8080'}
wsgiref.util.setup_testing_defaults(env)
middleware(env.copy(), self.start_r... | Hostname matches any port and adds headers. | tests/test_middleware_cors.py | test_hostname | checkmate/simpl | 6 | python | def test_hostname(self):
middleware = cors.CORSMiddleware(debug_app, allowed_hostnames=['localhost'])
env = {'REQUEST_METHOD': 'OPTIONS', 'HTTP_ORIGIN': 'http://localhost:8080'}
wsgiref.util.setup_testing_defaults(env)
middleware(env.copy(), self.start_response)
six.assertCountEqual(self, self.... | def test_hostname(self):
middleware = cors.CORSMiddleware(debug_app, allowed_hostnames=['localhost'])
env = {'REQUEST_METHOD': 'OPTIONS', 'HTTP_ORIGIN': 'http://localhost:8080'}
wsgiref.util.setup_testing_defaults(env)
middleware(env.copy(), self.start_response)
six.assertCountEqual(self, self.... |
cb9893604dace50648302986d26ad66e9ed6f205ed8e5e578ee683620fd7ec36 | def test_regex(self):
'Regex matches origin and adds headers.'
middleware = cors.CORSMiddleware(debug_app, allowed_regexes=['.*'])
env = {'REQUEST_METHOD': 'OPTIONS', 'HTTP_ORIGIN': 'https://foo'}
wsgiref.util.setup_testing_defaults(env)
middleware(env.copy(), self.start_response)
six.assertCoun... | Regex matches origin and adds headers. | tests/test_middleware_cors.py | test_regex | checkmate/simpl | 6 | python | def test_regex(self):
middleware = cors.CORSMiddleware(debug_app, allowed_regexes=['.*'])
env = {'REQUEST_METHOD': 'OPTIONS', 'HTTP_ORIGIN': 'https://foo'}
wsgiref.util.setup_testing_defaults(env)
middleware(env.copy(), self.start_response)
six.assertCountEqual(self, self.headers, [('Access-Con... | def test_regex(self):
middleware = cors.CORSMiddleware(debug_app, allowed_regexes=['.*'])
env = {'REQUEST_METHOD': 'OPTIONS', 'HTTP_ORIGIN': 'https://foo'}
wsgiref.util.setup_testing_defaults(env)
middleware(env.copy(), self.start_response)
six.assertCountEqual(self, self.headers, [('Access-Con... |
e5233e36159568d7381aedff219282cae48f58f000ca2a9cd74a43822b06ba5c | def test_conditional_import(self):
'Fail to init if webob not installed.'
with mock.patch('simpl.middleware.cors.webob', new=None):
app = cors.CORSMiddleware(None)
with self.assertRaises(RuntimeError):
app({}, self.start_response) | Fail to init if webob not installed. | tests/test_middleware_cors.py | test_conditional_import | checkmate/simpl | 6 | python | def test_conditional_import(self):
with mock.patch('simpl.middleware.cors.webob', new=None):
app = cors.CORSMiddleware(None)
with self.assertRaises(RuntimeError):
app({}, self.start_response) | def test_conditional_import(self):
with mock.patch('simpl.middleware.cors.webob', new=None):
app = cors.CORSMiddleware(None)
with self.assertRaises(RuntimeError):
app({}, self.start_response)<|docstring|>Fail to init if webob not installed.<|endoftext|> |
2ac2d979c6654b0861e4730048650f37ac536823e5127049db2332ad64ac805d | @skipIfWindows
@skipIfFreeBSD
@expectedFailureAll(oslist=['linux'], bugnumber='new failure after r256863')
def test_lldbmi_symbol_list_lines_file(self):
"Test that 'lldb-mi --interpreter' works for -symbol-list-lines when file exists."
self.spawnLldbMi(args=None)
self.runCmd(('-file-exec-and-symbols %s' % s... | Test that 'lldb-mi --interpreter' works for -symbol-list-lines when file exists. | SymbolExtractorAndRenamer/lldb/packages/Python/lldbsuite/test/tools/lldb-mi/symbol/TestMiSymbol.py | test_lldbmi_symbol_list_lines_file | Polidea/SiriusObfuscator | 427 | python | @skipIfWindows
@skipIfFreeBSD
@expectedFailureAll(oslist=['linux'], bugnumber='new failure after r256863')
def test_lldbmi_symbol_list_lines_file(self):
self.spawnLldbMi(args=None)
self.runCmd(('-file-exec-and-symbols %s' % self.myexe))
self.expect('\\^done')
self.runCmd('-break-insert -f main')
... | @skipIfWindows
@skipIfFreeBSD
@expectedFailureAll(oslist=['linux'], bugnumber='new failure after r256863')
def test_lldbmi_symbol_list_lines_file(self):
self.spawnLldbMi(args=None)
self.runCmd(('-file-exec-and-symbols %s' % self.myexe))
self.expect('\\^done')
self.runCmd('-break-insert -f main')
... |
faa7acea4b2b428d30b1969edb5b8dfefb94c33a646f43cdbd0487d573eb6cb0 | def colorWipe(self, color, wait_ms=100):
' wipe color across display pixel a time '
for i in range(self.stick.numPixels()):
self.stick.setPixelColor(i, color)
self.stick.show()
time.sleep(1.5)
for i in range(self.stick.numPixels()):
self.stick.setPixelColor(i, Color(0, 0, 0))
sel... | wipe color across display pixel a time | python/states/standalone/buttonPress.py | colorWipe | dride/dride-indicators | 0 | python | def colorWipe(self, color, wait_ms=100):
' '
for i in range(self.stick.numPixels()):
self.stick.setPixelColor(i, color)
self.stick.show()
time.sleep(1.5)
for i in range(self.stick.numPixels()):
self.stick.setPixelColor(i, Color(0, 0, 0))
self.stick.show()
time.sleep(0.5) | def colorWipe(self, color, wait_ms=100):
' '
for i in range(self.stick.numPixels()):
self.stick.setPixelColor(i, color)
self.stick.show()
time.sleep(1.5)
for i in range(self.stick.numPixels()):
self.stick.setPixelColor(i, Color(0, 0, 0))
self.stick.show()
time.sleep(0.5)<|do... |
01d82ef235a222d59a202d99ac4aa27f36525041ff4ef6ec6cbad83d371fad2d | def execute_task(task):
' Evaluate a nested task\n\n >>> inc = lambda x: x + 1\n >>> execute_task((inc, 1))\n 2\n >>> execute_task((sum, [1, 2, (inc, 3)]))\n 7\n '
if istask(task):
(func, args) = (task[0], task[1:])
return func(*map(execute_task, args))
elif isinstance(task... | Evaluate a nested task
>>> inc = lambda x: x + 1
>>> execute_task((inc, 1))
2
>>> execute_task((sum, [1, 2, (inc, 3)]))
7 | distributed/worker.py | execute_task | gdementen/distributed | 1 | python | def execute_task(task):
' Evaluate a nested task\n\n >>> inc = lambda x: x + 1\n >>> execute_task((inc, 1))\n 2\n >>> execute_task((sum, [1, 2, (inc, 3)]))\n 7\n '
if istask(task):
(func, args) = (task[0], task[1:])
return func(*map(execute_task, args))
elif isinstance(task... | def execute_task(task):
' Evaluate a nested task\n\n >>> inc = lambda x: x + 1\n >>> execute_task((inc, 1))\n 2\n >>> execute_task((sum, [1, 2, (inc, 3)]))\n 7\n '
if istask(task):
(func, args) = (task[0], task[1:])
return func(*map(execute_task, args))
elif isinstance(task... |
bacf204f5b897109a90311cc113fbd692832ea2160232dc8746fcf8ce8ed7236 | def dumps_function(func):
' Dump a function to bytes, cache functions '
if (func not in cache):
b = dumps(func)
cache[func] = b
return cache[func] | Dump a function to bytes, cache functions | distributed/worker.py | dumps_function | gdementen/distributed | 1 | python | def dumps_function(func):
' '
if (func not in cache):
b = dumps(func)
cache[func] = b
return cache[func] | def dumps_function(func):
' '
if (func not in cache):
b = dumps(func)
cache[func] = b
return cache[func]<|docstring|>Dump a function to bytes, cache functions<|endoftext|> |
9e2a7bd28a39a9ef615502707ba8e6cfee53741b0ee8c1e7f7081de411aba499 | def dumps_task(task):
" Serialize a dask task\n\n Returns a dict of bytestrings that can each be loaded with ``loads``\n\n Examples\n --------\n Either returns a task as a function, args, kwargs dict\n\n >>> from operator import add\n >>> dumps_task((add, 1)) # doctest: +SKIP\n {'function': b'... | Serialize a dask task
Returns a dict of bytestrings that can each be loaded with ``loads``
Examples
--------
Either returns a task as a function, args, kwargs dict
>>> from operator import add
>>> dumps_task((add, 1)) # doctest: +SKIP
{'function': b' _operatoradd.'
'args': b' KK.'}
Or ... | distributed/worker.py | dumps_task | gdementen/distributed | 1 | python | def dumps_task(task):
" Serialize a dask task\n\n Returns a dict of bytestrings that can each be loaded with ``loads``\n\n Examples\n --------\n Either returns a task as a function, args, kwargs dict\n\n >>> from operator import add\n >>> dumps_task((add, 1)) # doctest: +SKIP\n {'function': b'... | def dumps_task(task):
" Serialize a dask task\n\n Returns a dict of bytestrings that can each be loaded with ``loads``\n\n Examples\n --------\n Either returns a task as a function, args, kwargs dict\n\n >>> from operator import add\n >>> dumps_task((add, 1)) # doctest: +SKIP\n {'function': b'... |
9ca851554f4403b36f02be268292663ba305e46ebd3e94ea442269a5da00a391 | def apply_function(function, args, kwargs):
' Run a function, collect information\n\n Returns\n -------\n msg: dictionary with status, result/error, timings, etc..\n '
start = time()
try:
result = function(*args, **kwargs)
except Exception as e:
msg = error_message(e)
els... | Run a function, collect information
Returns
-------
msg: dictionary with status, result/error, timings, etc.. | distributed/worker.py | apply_function | gdementen/distributed | 1 | python | def apply_function(function, args, kwargs):
' Run a function, collect information\n\n Returns\n -------\n msg: dictionary with status, result/error, timings, etc..\n '
start = time()
try:
result = function(*args, **kwargs)
except Exception as e:
msg = error_message(e)
els... | def apply_function(function, args, kwargs):
' Run a function, collect information\n\n Returns\n -------\n msg: dictionary with status, result/error, timings, etc..\n '
start = time()
try:
result = function(*args, **kwargs)
except Exception as e:
msg = error_message(e)
els... |
293ef1ba41caabe528c8b717ab9976f15ce36ac40f87d4e3e3f33944bc8083e5 | def get_msg_safe_str(msg):
' Make a worker msg, which contains args and kwargs, safe to cast to str:\n allowing for some arguments to raise exceptions during conversion and\n ignoring them.\n '
class Repr(object):
def __init__(self, f, val):
self._f = f
self._val = val... | Make a worker msg, which contains args and kwargs, safe to cast to str:
allowing for some arguments to raise exceptions during conversion and
ignoring them. | distributed/worker.py | get_msg_safe_str | gdementen/distributed | 1 | python | def get_msg_safe_str(msg):
' Make a worker msg, which contains args and kwargs, safe to cast to str:\n allowing for some arguments to raise exceptions during conversion and\n ignoring them.\n '
class Repr(object):
def __init__(self, f, val):
self._f = f
self._val = val... | def get_msg_safe_str(msg):
' Make a worker msg, which contains args and kwargs, safe to cast to str:\n allowing for some arguments to raise exceptions during conversion and\n ignoring them.\n '
class Repr(object):
def __init__(self, f, val):
self._f = f
self._val = val... |
73d97c716f6fbdd766ed4e72e77a9313de2e29e39cfa5b20da8c221b3725f567 | def convert_args_to_str(args, max_len=None):
' Convert args to a string, allowing for some arguments to raise\n exceptions during conversion and ignoring them.\n '
length = 0
strs = ['' for i in range(len(args))]
for (i, arg) in enumerate(args):
try:
sarg = repr(arg)
ex... | Convert args to a string, allowing for some arguments to raise
exceptions during conversion and ignoring them. | distributed/worker.py | convert_args_to_str | gdementen/distributed | 1 | python | def convert_args_to_str(args, max_len=None):
' Convert args to a string, allowing for some arguments to raise\n exceptions during conversion and ignoring them.\n '
length = 0
strs = [ for i in range(len(args))]
for (i, arg) in enumerate(args):
try:
sarg = repr(arg)
exce... | def convert_args_to_str(args, max_len=None):
' Convert args to a string, allowing for some arguments to raise\n exceptions during conversion and ignoring them.\n '
length = 0
strs = [ for i in range(len(args))]
for (i, arg) in enumerate(args):
try:
sarg = repr(arg)
exce... |
1c3290b3deaf87ccb99d912cc6b98737506c55fa212b178293869a350ebf641e | def convert_kwargs_to_str(kwargs, max_len=None):
' Convert kwargs to a string, allowing for some arguments to raise\n exceptions during conversion and ignoring them.\n '
length = 0
strs = ['' for i in range(len(kwargs))]
for (i, (argname, arg)) in enumerate(kwargs.items()):
try:
... | Convert kwargs to a string, allowing for some arguments to raise
exceptions during conversion and ignoring them. | distributed/worker.py | convert_kwargs_to_str | gdementen/distributed | 1 | python | def convert_kwargs_to_str(kwargs, max_len=None):
' Convert kwargs to a string, allowing for some arguments to raise\n exceptions during conversion and ignoring them.\n '
length = 0
strs = [ for i in range(len(kwargs))]
for (i, (argname, arg)) in enumerate(kwargs.items()):
try:
... | def convert_kwargs_to_str(kwargs, max_len=None):
' Convert kwargs to a string, allowing for some arguments to raise\n exceptions during conversion and ignoring them.\n '
length = 0
strs = [ for i in range(len(kwargs))]
for (i, (argname, arg)) in enumerate(kwargs.items()):
try:
... |
25de69ce27a61e6ae062101a0b69a60847b010b37e7abb6c8a895d6e6d931658 | def deserialize(self, function=None, args=None, kwargs=None, task=None):
' Deserialize task inputs and regularize to func, args, kwargs '
if (task is not None):
task = loads(task)
if (function is not None):
function = loads(function)
if args:
args = loads(args)
if kwargs:
... | Deserialize task inputs and regularize to func, args, kwargs | distributed/worker.py | deserialize | gdementen/distributed | 1 | python | def deserialize(self, function=None, args=None, kwargs=None, task=None):
' '
if (task is not None):
task = loads(task)
if (function is not None):
function = loads(function)
if args:
args = loads(args)
if kwargs:
kwargs = loads(kwargs)
if (task is not None):
... | def deserialize(self, function=None, args=None, kwargs=None, task=None):
' '
if (task is not None):
task = loads(task)
if (function is not None):
function = loads(function)
if args:
args = loads(args)
if kwargs:
kwargs = loads(kwargs)
if (task is not None):
... |
5f0f6a54984a68873b0e5ca581c902f9458e1e2c1361deca46f830c56c7250cb | @gen.coroutine
def gather_many(self, msgs):
" Gather the data for many compute messages at once\n\n Returns\n -------\n good: the input messages for which we have data\n bad: a dict of task keys for which we could not find data\n data: The scope in which to run tasks\n len(... | Gather the data for many compute messages at once
Returns
-------
good: the input messages for which we have data
bad: a dict of task keys for which we could not find data
data: The scope in which to run tasks
len(remote): the number of new keys we've gathered | distributed/worker.py | gather_many | gdementen/distributed | 1 | python | @gen.coroutine
def gather_many(self, msgs):
" Gather the data for many compute messages at once\n\n Returns\n -------\n good: the input messages for which we have data\n bad: a dict of task keys for which we could not find data\n data: The scope in which to run tasks\n len(... | @gen.coroutine
def gather_many(self, msgs):
" Gather the data for many compute messages at once\n\n Returns\n -------\n good: the input messages for which we have data\n bad: a dict of task keys for which we could not find data\n data: The scope in which to run tasks\n len(... |
a9562a4e75f87cb8be4581e4a744f8a7250aa380e3d6728a481cbb0bb8598e66 | @gen.coroutine
def executor_submit(self, key, function, *args, **kwargs):
" Safely run function in thread pool executor\n\n We've run into issues running concurrent.future futures within\n tornado. Apparently it's advantageous to use timeouts and periodic\n callbacks to ensure things run smoot... | Safely run function in thread pool executor
We've run into issues running concurrent.future futures within
tornado. Apparently it's advantageous to use timeouts and periodic
callbacks to ensure things run smoothly. This can get tricky, so we
pull it off into an separate method. | distributed/worker.py | executor_submit | gdementen/distributed | 1 | python | @gen.coroutine
def executor_submit(self, key, function, *args, **kwargs):
" Safely run function in thread pool executor\n\n We've run into issues running concurrent.future futures within\n tornado. Apparently it's advantageous to use timeouts and periodic\n callbacks to ensure things run smoot... | @gen.coroutine
def executor_submit(self, key, function, *args, **kwargs):
" Safely run function in thread pool executor\n\n We've run into issues running concurrent.future futures within\n tornado. Apparently it's advantageous to use timeouts and periodic\n callbacks to ensure things run smoot... |
0b5a5baf33c2fe4a102c354e8ed864e81a1c018d481a6639fa5b4ecdba75c7fc | @gen.coroutine
def compute(self, stream=None, function=None, key=None, args=(), kwargs={}, task=None, who_has=None, report=True):
' Execute function '
self.active.add(key)
msg = (yield self._ready_task(function=function, key=key, args=args, kwargs=kwargs, task=task, who_has=who_has))
if (msg['status'] !... | Execute function | distributed/worker.py | compute | gdementen/distributed | 1 | python | @gen.coroutine
def compute(self, stream=None, function=None, key=None, args=(), kwargs={}, task=None, who_has=None, report=True):
' '
self.active.add(key)
msg = (yield self._ready_task(function=function, key=key, args=args, kwargs=kwargs, task=task, who_has=who_has))
if (msg['status'] != 'OK'):
... | @gen.coroutine
def compute(self, stream=None, function=None, key=None, args=(), kwargs={}, task=None, who_has=None, report=True):
' '
self.active.add(key)
msg = (yield self._ready_task(function=function, key=key, args=args, kwargs=kwargs, task=task, who_has=who_has))
if (msg['status'] != 'OK'):
... |
c5479042cdad4efeb9f00b6762a5471b13a8527feb0d9f0a5433b7ac9fc0255e | def start_ipython(self, stream):
'Start an IPython kernel\n\n Returns Jupyter connection info dictionary.\n '
if (self._ipython_kernel is None):
self._ipython_kernel = self._start_ipython()
return self._ipython_kernel.get_connection_info() | Start an IPython kernel
Returns Jupyter connection info dictionary. | distributed/worker.py | start_ipython | gdementen/distributed | 1 | python | def start_ipython(self, stream):
'Start an IPython kernel\n\n Returns Jupyter connection info dictionary.\n '
if (self._ipython_kernel is None):
self._ipython_kernel = self._start_ipython()
return self._ipython_kernel.get_connection_info() | def start_ipython(self, stream):
'Start an IPython kernel\n\n Returns Jupyter connection info dictionary.\n '
if (self._ipython_kernel is None):
self._ipython_kernel = self._start_ipython()
return self._ipython_kernel.get_connection_info()<|docstring|>Start an IPython kernel
Returns J... |
ad31f832da57a638aa5900cb4cef47d28f80a314093640cbac4b541c77f61d83 | def host_health(self, stream=None):
' Information about worker '
d = {'time': time()}
try:
import psutil
mem = psutil.virtual_memory()
d.update({'cpu': psutil.cpu_percent(), 'memory': mem.total, 'memory-percent': mem.percent})
net_io = psutil.net_io_counters()
if self... | Information about worker | distributed/worker.py | host_health | gdementen/distributed | 1 | python | def host_health(self, stream=None):
' '
d = {'time': time()}
try:
import psutil
mem = psutil.virtual_memory()
d.update({'cpu': psutil.cpu_percent(), 'memory': mem.total, 'memory-percent': mem.percent})
net_io = psutil.net_io_counters()
if self._last_net_io:
... | def host_health(self, stream=None):
' '
d = {'time': time()}
try:
import psutil
mem = psutil.virtual_memory()
d.update({'cpu': psutil.cpu_percent(), 'memory': mem.total, 'memory-percent': mem.percent})
net_io = psutil.net_io_counters()
if self._last_net_io:
... |
e0ff678c32645f0a358463f544f97396a8ca3c8231af43392e85982d1fde9a5f | def parse(db: database.Database, logfile: pathlib.Path) -> None:
'\n Parse as much information as possible from the given log file into a DB.\n\n :param db:\n Target database to populate.\n :param logfile:\n Source jam log file containing debug output.\n\n '
for parser_cls in [DCParser... | Parse as much information as possible from the given log file into a DB.
:param db:
Target database to populate.
:param logfile:
Source jam log file containing debug output. | jamjar/parsers/__init__.py | parse | ensoft/jamjar | 0 | python | def parse(db: database.Database, logfile: pathlib.Path) -> None:
'\n Parse as much information as possible from the given log file into a DB.\n\n :param db:\n Target database to populate.\n :param logfile:\n Source jam log file containing debug output.\n\n '
for parser_cls in [DCParser... | def parse(db: database.Database, logfile: pathlib.Path) -> None:
'\n Parse as much information as possible from the given log file into a DB.\n\n :param db:\n Target database to populate.\n :param logfile:\n Source jam log file containing debug output.\n\n '
for parser_cls in [DCParser... |
7ebaa446d674e0440922983cee7b1b60d33374f3b656002918742cd1c60cfe7d | def __init__(self, parent, metadata=None):
'Groupbox for pynwb.base.TimeSeries fields filling form.'
super().__init__()
self.setTitle('TimeSeries')
self.parent = parent
self.group_type = 'TimeSeries'
self.lbl_name = QLabel((('name<span style="color:' + required_asterisk_color) + ';">*</span>:'))... | Groupbox for pynwb.base.TimeSeries fields filling form. | singer_lab_to_nwb/gui/classes/forms_base.py | __init__ | stephprince/singer-lab-to-nwb-hackathon | 0 | python | def __init__(self, parent, metadata=None):
super().__init__()
self.setTitle('TimeSeries')
self.parent = parent
self.group_type = 'TimeSeries'
self.lbl_name = QLabel((('name<span style="color:' + required_asterisk_color) + ';">*</span>:'))
self.form_name = QLineEdit('TimeSeries')
self.fo... | def __init__(self, parent, metadata=None):
super().__init__()
self.setTitle('TimeSeries')
self.parent = parent
self.group_type = 'TimeSeries'
self.lbl_name = QLabel((('name<span style="color:' + required_asterisk_color) + ';">*</span>:'))
self.form_name = QLineEdit('TimeSeries')
self.fo... |
afd321f4ba46d761b320e5cd077ca43c81987c9598d0001f577ccd7edfaccf8f | def refresh_objects_references(self, metadata=None):
'Refreshes references with existing objects in parent group.'
pass | Refreshes references with existing objects in parent group. | singer_lab_to_nwb/gui/classes/forms_base.py | refresh_objects_references | stephprince/singer-lab-to-nwb-hackathon | 0 | python | def refresh_objects_references(self, metadata=None):
pass | def refresh_objects_references(self, metadata=None):
pass<|docstring|>Refreshes references with existing objects in parent group.<|endoftext|> |
2cc3a12a29da1c6d9c034fa27c162c3c18116cacadc7e53b0f3f5297e65cf1dd | def read_fields(self):
'Reads fields and returns them structured in a dictionary.'
data = {}
data['name'] = self.form_name.text()
try:
data['conversion'] = float(self.form_conversion.text())
except ValueError:
pass
try:
data['resolution'] = float(self.form_resolution.text... | Reads fields and returns them structured in a dictionary. | singer_lab_to_nwb/gui/classes/forms_base.py | read_fields | stephprince/singer-lab-to-nwb-hackathon | 0 | python | def read_fields(self):
data = {}
data['name'] = self.form_name.text()
try:
data['conversion'] = float(self.form_conversion.text())
except ValueError:
pass
try:
data['resolution'] = float(self.form_resolution.text())
except ValueError as error:
print(error)
... | def read_fields(self):
data = {}
data['name'] = self.form_name.text()
try:
data['conversion'] = float(self.form_conversion.text())
except ValueError:
pass
try:
data['resolution'] = float(self.form_resolution.text())
except ValueError as error:
print(error)
... |
1e89c0b322b87c5f116fba1af1250c964ef07d92eea49ca9c71d74a01017d078 | def write_fields(self, metadata={}):
'Reads structured dictionary and write in form fields.'
self.form_name.setText(metadata['name'])
if ('unit' in metadata):
self.form_unit.setText(metadata['unit'])
if ('conversion' in metadata):
self.form_conversion.setText(str(metadata['conversion']))... | Reads structured dictionary and write in form fields. | singer_lab_to_nwb/gui/classes/forms_base.py | write_fields | stephprince/singer-lab-to-nwb-hackathon | 0 | python | def write_fields(self, metadata={}):
self.form_name.setText(metadata['name'])
if ('unit' in metadata):
self.form_unit.setText(metadata['unit'])
if ('conversion' in metadata):
self.form_conversion.setText(str(metadata['conversion']))
if ('resolution' in metadata):
self.form_r... | def write_fields(self, metadata={}):
self.form_name.setText(metadata['name'])
if ('unit' in metadata):
self.form_unit.setText(metadata['unit'])
if ('conversion' in metadata):
self.form_conversion.setText(str(metadata['conversion']))
if ('resolution' in metadata):
self.form_r... |
9ce913db1e840090b38492891625219fbc2a23670eb20edc2bb79357330a35fc | def __init__(self, parent):
'Groupbox for pynwb.base.Image fields filling form.'
super().__init__()
self.setTitle('Image')
self.parent = parent
self.group_type = 'Image'
self.lbl_name = QLabel((('name<span style="color:' + required_asterisk_color) + ';">*</span>:'))
self.form_name = QLineEdi... | Groupbox for pynwb.base.Image fields filling form. | singer_lab_to_nwb/gui/classes/forms_base.py | __init__ | stephprince/singer-lab-to-nwb-hackathon | 0 | python | def __init__(self, parent):
super().__init__()
self.setTitle('Image')
self.parent = parent
self.group_type = 'Image'
self.lbl_name = QLabel((('name<span style="color:' + required_asterisk_color) + ';">*</span>:'))
self.form_name = QLineEdit('Image')
self.form_name.setToolTip('The unique... | def __init__(self, parent):
super().__init__()
self.setTitle('Image')
self.parent = parent
self.group_type = 'Image'
self.lbl_name = QLabel((('name<span style="color:' + required_asterisk_color) + ';">*</span>:'))
self.form_name = QLineEdit('Image')
self.form_name.setToolTip('The unique... |
afd321f4ba46d761b320e5cd077ca43c81987c9598d0001f577ccd7edfaccf8f | def refresh_objects_references(self, metadata=None):
'Refreshes references with existing objects in parent group.'
pass | Refreshes references with existing objects in parent group. | singer_lab_to_nwb/gui/classes/forms_base.py | refresh_objects_references | stephprince/singer-lab-to-nwb-hackathon | 0 | python | def refresh_objects_references(self, metadata=None):
pass | def refresh_objects_references(self, metadata=None):
pass<|docstring|>Refreshes references with existing objects in parent group.<|endoftext|> |
90ee65f4bc364ec14eb1f73e62ea062f6de23202584518de1afcad474530160e | def read_fields(self):
'Reads fields and returns them structured in a dictionary.'
data = {}
data['name'] = self.form_name.text()
try:
data['resolution'] = float(self.form_resolution.text())
except ValueError as error:
print(error)
data['description'] = self.form_description.text... | Reads fields and returns them structured in a dictionary. | singer_lab_to_nwb/gui/classes/forms_base.py | read_fields | stephprince/singer-lab-to-nwb-hackathon | 0 | python | def read_fields(self):
data = {}
data['name'] = self.form_name.text()
try:
data['resolution'] = float(self.form_resolution.text())
except ValueError as error:
print(error)
data['description'] = self.form_description.text()
data['help'] = self.form_help.text()
return data | def read_fields(self):
data = {}
data['name'] = self.form_name.text()
try:
data['resolution'] = float(self.form_resolution.text())
except ValueError as error:
print(error)
data['description'] = self.form_description.text()
data['help'] = self.form_help.text()
return data... |
d07e0aae40a6b00c82ba33ea9ed7e5bdd240a7de5f468f15d883febabda9dabc | def write_fields(self, metadata={}):
'Reads structured dictionary and write in form fields.'
self.form_name.setText(metadata['name'])
if ('resolution' in metadata):
self.form_resolution.setText(str(metadata['resolution']))
if ('description' in metadata):
self.form_description.setText(met... | Reads structured dictionary and write in form fields. | singer_lab_to_nwb/gui/classes/forms_base.py | write_fields | stephprince/singer-lab-to-nwb-hackathon | 0 | python | def write_fields(self, metadata={}):
self.form_name.setText(metadata['name'])
if ('resolution' in metadata):
self.form_resolution.setText(str(metadata['resolution']))
if ('description' in metadata):
self.form_description.setText(metadata['description'])
if ('help' in metadata):
... | def write_fields(self, metadata={}):
self.form_name.setText(metadata['name'])
if ('resolution' in metadata):
self.form_resolution.setText(str(metadata['resolution']))
if ('description' in metadata):
self.form_description.setText(metadata['description'])
if ('help' in metadata):
... |
e8371eb4e9753c63938c825f8fa14e3165fa2934f8068e73d7d88c75d64bc10a | def __init__(self, parent):
'Groupbox for pynwb.base.Images fields filling form.'
super().__init__()
self.setTitle('Images')
self.parent = parent
self.group_type = 'Images'
self.lbl_name = QLabel((('name<span style="color:' + required_asterisk_color) + ';">*</span>:'))
self.form_name = QLine... | Groupbox for pynwb.base.Images fields filling form. | singer_lab_to_nwb/gui/classes/forms_base.py | __init__ | stephprince/singer-lab-to-nwb-hackathon | 0 | python | def __init__(self, parent):
super().__init__()
self.setTitle('Images')
self.parent = parent
self.group_type = 'Images'
self.lbl_name = QLabel((('name<span style="color:' + required_asterisk_color) + ';">*</span>:'))
self.form_name = QLineEdit('Images')
self.form_name.setToolTip('The nam... | def __init__(self, parent):
super().__init__()
self.setTitle('Images')
self.parent = parent
self.group_type = 'Images'
self.lbl_name = QLabel((('name<span style="color:' + required_asterisk_color) + ';">*</span>:'))
self.form_name = QLineEdit('Images')
self.form_name.setToolTip('The nam... |
b0b10945dd0c65a68e42fcb7832b2078f2e85629659915a5d7c72a5cfbd5527a | def refresh_objects_references(self, metadata=None):
'Refreshes references with existing objects in parent group.'
self.combo_images.clear()
for grp in self.parent.groups_list:
if isinstance(grp, GroupImage):
self.combo_images.addItem(grp.form_name.text()) | Refreshes references with existing objects in parent group. | singer_lab_to_nwb/gui/classes/forms_base.py | refresh_objects_references | stephprince/singer-lab-to-nwb-hackathon | 0 | python | def refresh_objects_references(self, metadata=None):
self.combo_images.clear()
for grp in self.parent.groups_list:
if isinstance(grp, GroupImage):
self.combo_images.addItem(grp.form_name.text()) | def refresh_objects_references(self, metadata=None):
self.combo_images.clear()
for grp in self.parent.groups_list:
if isinstance(grp, GroupImage):
self.combo_images.addItem(grp.form_name.text())<|docstring|>Refreshes references with existing objects in parent group.<|endoftext|> |
87271cf42eb3c7fd9eff2ed0f31a665f7d5e2c3ee0ff4269533206f5a767de54 | def read_fields(self):
'Reads fields and returns them structured in a dictionary.'
data = {}
data['name'] = self.form_name.text()
data['images'] = self.combo_images.currentText()
data['description'] = self.form_description.text()
return data | Reads fields and returns them structured in a dictionary. | singer_lab_to_nwb/gui/classes/forms_base.py | read_fields | stephprince/singer-lab-to-nwb-hackathon | 0 | python | def read_fields(self):
data = {}
data['name'] = self.form_name.text()
data['images'] = self.combo_images.currentText()
data['description'] = self.form_description.text()
return data | def read_fields(self):
data = {}
data['name'] = self.form_name.text()
data['images'] = self.combo_images.currentText()
data['description'] = self.form_description.text()
return data<|docstring|>Reads fields and returns them structured in a dictionary.<|endoftext|> |
6434b8a1ce67e2c22b965a16f45fca86963cf405664b3c645b05cd5598a49a91 | def write_fields(self, metadata={}):
'Reads structured dictionary and write in form fields.'
self.form_name.setText(metadata['name'])
self.combo_images.clear()
self.combo_images.addItem(metadata['images'])
if ('description' in metadata):
self.form_description.setText(metadata['description']) | Reads structured dictionary and write in form fields. | singer_lab_to_nwb/gui/classes/forms_base.py | write_fields | stephprince/singer-lab-to-nwb-hackathon | 0 | python | def write_fields(self, metadata={}):
self.form_name.setText(metadata['name'])
self.combo_images.clear()
self.combo_images.addItem(metadata['images'])
if ('description' in metadata):
self.form_description.setText(metadata['description']) | def write_fields(self, metadata={}):
self.form_name.setText(metadata['name'])
self.combo_images.clear()
self.combo_images.addItem(metadata['images'])
if ('description' in metadata):
self.form_description.setText(metadata['description'])<|docstring|>Reads structured dictionary and write in f... |
48c69b1d3a976691833e8c071a9be85106d9f8b6c596f647a9ffe355374eb823 | def __init__(self):
'Class created to ignore mouse wheel events on combobox.'
super().__init__() | Class created to ignore mouse wheel events on combobox. | singer_lab_to_nwb/gui/classes/forms_base.py | __init__ | stephprince/singer-lab-to-nwb-hackathon | 0 | python | def __init__(self):
super().__init__() | def __init__(self):
super().__init__()<|docstring|>Class created to ignore mouse wheel events on combobox.<|endoftext|> |
27a8c49a697a955a78e7264e2abb02e3dc525fb81d854b752a07bdbd3f8e29e6 | def write_json_data(data, filename):
'\n write data to a json file\n '
with open(filename, 'w+', encoding='utf-8') as f:
json.dump(data, f, indent=4, ensure_ascii=False)
f.close() | write data to a json file | dataset/new_dataset/get_single.py | write_json_data | ShubhamAnandJain/MWP-CS229 | 71 | python | def write_json_data(data, filename):
'\n \n '
with open(filename, 'w+', encoding='utf-8') as f:
json.dump(data, f, indent=4, ensure_ascii=False)
f.close() | def write_json_data(data, filename):
'\n \n '
with open(filename, 'w+', encoding='utf-8') as f:
json.dump(data, f, indent=4, ensure_ascii=False)
f.close()<|docstring|>write data to a json file<|endoftext|> |
a63faa279aa0472bd10138b0904055baf41cef4946867756a216fa7e1e76c918 | def read_json_data(filename):
'\n load data from a json file\n '
f = open(filename, 'r', encoding='utf-8')
return json.load(f) | load data from a json file | dataset/new_dataset/get_single.py | read_json_data | ShubhamAnandJain/MWP-CS229 | 71 | python | def read_json_data(filename):
'\n \n '
f = open(filename, 'r', encoding='utf-8')
return json.load(f) | def read_json_data(filename):
'\n \n '
f = open(filename, 'r', encoding='utf-8')
return json.load(f)<|docstring|>load data from a json file<|endoftext|> |
94060bf9780aa6c8037b2d50a14036cb4e58a0f35851f1f702d0f42552131548 | def small_txpuzzle_randfee(from_node, conflist, unconflist, amount, min_fee, fee_increment):
'Create and send a transaction with a random fee.\n\n The transaction pays to a trivial P2SH script, and assumes that its inputs\n are of the same form.\n The function takes a list of confirmed outputs and unconfir... | Create and send a transaction with a random fee.
The transaction pays to a trivial P2SH script, and assumes that its inputs
are of the same form.
The function takes a list of confirmed outputs and unconfirmed outputs
and attempts to use the confirmed list first for its inputs.
It adds the newly created outputs to the ... | test/functional/feature_fee_estimation.py | small_txpuzzle_randfee | Jlemix/bitcoin | 32 | python | def small_txpuzzle_randfee(from_node, conflist, unconflist, amount, min_fee, fee_increment):
'Create and send a transaction with a random fee.\n\n The transaction pays to a trivial P2SH script, and assumes that its inputs\n are of the same form.\n The function takes a list of confirmed outputs and unconfir... | def small_txpuzzle_randfee(from_node, conflist, unconflist, amount, min_fee, fee_increment):
'Create and send a transaction with a random fee.\n\n The transaction pays to a trivial P2SH script, and assumes that its inputs\n are of the same form.\n The function takes a list of confirmed outputs and unconfir... |
4f22de9e2142f5dad50056475b8f997a53a60ded3c88075c93b6beabf7373309 | def check_raw_estimates(node, fees_seen):
'Call estimaterawfee and verify that the estimates meet certain invariants.'
delta = 1e-06
for i in range(1, 26):
for (_, e) in node.estimaterawfee(i).items():
feerate = float(e['feerate'])
assert_greater_than(feerate, 0)
... | Call estimaterawfee and verify that the estimates meet certain invariants. | test/functional/feature_fee_estimation.py | check_raw_estimates | Jlemix/bitcoin | 32 | python | def check_raw_estimates(node, fees_seen):
delta = 1e-06
for i in range(1, 26):
for (_, e) in node.estimaterawfee(i).items():
feerate = float(e['feerate'])
assert_greater_than(feerate, 0)
if (((feerate + delta) < min(fees_seen)) or ((feerate - delta) > max(fees_se... | def check_raw_estimates(node, fees_seen):
delta = 1e-06
for i in range(1, 26):
for (_, e) in node.estimaterawfee(i).items():
feerate = float(e['feerate'])
assert_greater_than(feerate, 0)
if (((feerate + delta) < min(fees_seen)) or ((feerate - delta) > max(fees_se... |
17f1efb2dfea8081f4d5aa5439816016027880b099455ce3dac31dd520e8236d | def check_smart_estimates(node, fees_seen):
'Call estimatesmartfee and verify that the estimates meet certain invariants.'
delta = 1e-06
last_feerate = float(max(fees_seen))
all_smart_estimates = [node.estimatesmartfee(i) for i in range(1, 26)]
mempoolMinFee = node.getmempoolinfo()['mempoolminfee']
... | Call estimatesmartfee and verify that the estimates meet certain invariants. | test/functional/feature_fee_estimation.py | check_smart_estimates | Jlemix/bitcoin | 32 | python | def check_smart_estimates(node, fees_seen):
delta = 1e-06
last_feerate = float(max(fees_seen))
all_smart_estimates = [node.estimatesmartfee(i) for i in range(1, 26)]
mempoolMinFee = node.getmempoolinfo()['mempoolminfee']
minRelaytxFee = node.getmempoolinfo()['minrelaytxfee']
for (i, e) in e... | def check_smart_estimates(node, fees_seen):
delta = 1e-06
last_feerate = float(max(fees_seen))
all_smart_estimates = [node.estimatesmartfee(i) for i in range(1, 26)]
mempoolMinFee = node.getmempoolinfo()['mempoolminfee']
minRelaytxFee = node.getmempoolinfo()['minrelaytxfee']
for (i, e) in e... |
34462176d7b2f9af0faf022c1ed658fd5009db11fe527f791858381f59cb242b | def send_tx(node, utxo, feerate):
'Broadcast a 1in-1out transaction with a specific input and feerate (sat/vb).'
tx = CTransaction()
tx.vin = [CTxIn(COutPoint(int(utxo['txid'], 16), utxo['vout']), REDEEM_SCRIPT)]
tx.vout = [CTxOut(int((utxo['amount'] * COIN)), P2SH)]
fee = (tx.get_vsize() * feerate)... | Broadcast a 1in-1out transaction with a specific input and feerate (sat/vb). | test/functional/feature_fee_estimation.py | send_tx | Jlemix/bitcoin | 32 | python | def send_tx(node, utxo, feerate):
tx = CTransaction()
tx.vin = [CTxIn(COutPoint(int(utxo['txid'], 16), utxo['vout']), REDEEM_SCRIPT)]
tx.vout = [CTxOut(int((utxo['amount'] * COIN)), P2SH)]
fee = (tx.get_vsize() * feerate)
tx.vout[0].nValue -= fee
return node.sendrawtransaction(tx.serialize(... | def send_tx(node, utxo, feerate):
tx = CTransaction()
tx.vin = [CTxIn(COutPoint(int(utxo['txid'], 16), utxo['vout']), REDEEM_SCRIPT)]
tx.vout = [CTxOut(int((utxo['amount'] * COIN)), P2SH)]
fee = (tx.get_vsize() * feerate)
tx.vout[0].nValue -= fee
return node.sendrawtransaction(tx.serialize(... |
0590715800733dbf71b975c570b41ddb13df662c07049c0e8400a63f41158528 | def setup_network(self):
"\n We'll setup the network to have 3 nodes that all mine with different parameters.\n But first we need to use one node to create a lot of outputs\n which we will use to generate our transactions.\n "
self.add_nodes(3, extra_args=self.extra_args)
self.st... | We'll setup the network to have 3 nodes that all mine with different parameters.
But first we need to use one node to create a lot of outputs
which we will use to generate our transactions. | test/functional/feature_fee_estimation.py | setup_network | Jlemix/bitcoin | 32 | python | def setup_network(self):
"\n We'll setup the network to have 3 nodes that all mine with different parameters.\n But first we need to use one node to create a lot of outputs\n which we will use to generate our transactions.\n "
self.add_nodes(3, extra_args=self.extra_args)
self.st... | def setup_network(self):
"\n We'll setup the network to have 3 nodes that all mine with different parameters.\n But first we need to use one node to create a lot of outputs\n which we will use to generate our transactions.\n "
self.add_nodes(3, extra_args=self.extra_args)
self.st... |
c16deb631103ead917563e2555c7b8a95bf702a47cd09421dc97266636f0c4b1 | def initial_split(self, node):
'Split two coinbase UTxOs into many small coins'
utxo_count = 2048
self.confutxo = []
splitted_amount = Decimal('0.04')
fee = Decimal('0.1')
change = ((Decimal('100') - (splitted_amount * utxo_count)) - fee)
tx = CTransaction()
tx.vin = [CTxIn(COutPoint(int... | Split two coinbase UTxOs into many small coins | test/functional/feature_fee_estimation.py | initial_split | Jlemix/bitcoin | 32 | python | def initial_split(self, node):
utxo_count = 2048
self.confutxo = []
splitted_amount = Decimal('0.04')
fee = Decimal('0.1')
change = ((Decimal('100') - (splitted_amount * utxo_count)) - fee)
tx = CTransaction()
tx.vin = [CTxIn(COutPoint(int(cb['txid'], 16), cb['vout'])) for cb in node.li... | def initial_split(self, node):
utxo_count = 2048
self.confutxo = []
splitted_amount = Decimal('0.04')
fee = Decimal('0.1')
change = ((Decimal('100') - (splitted_amount * utxo_count)) - fee)
tx = CTransaction()
tx.vin = [CTxIn(COutPoint(int(cb['txid'], 16), cb['vout'])) for cb in node.li... |
840683e11bd02962c99a15e8c68ae83cba256c4f1abebbc854b5b133adbc0f58 | def sanity_check_estimates_range(self):
'Populate estimation buckets, assert estimates are in a sane range and\n are strictly increasing as the target decreases.'
self.fees_per_kb = []
self.memutxo = []
self.log.info('Will output estimates for 1/2/3/6/15/25 blocks')
for _ in range(2):
... | Populate estimation buckets, assert estimates are in a sane range and
are strictly increasing as the target decreases. | test/functional/feature_fee_estimation.py | sanity_check_estimates_range | Jlemix/bitcoin | 32 | python | def sanity_check_estimates_range(self):
'Populate estimation buckets, assert estimates are in a sane range and\n are strictly increasing as the target decreases.'
self.fees_per_kb = []
self.memutxo = []
self.log.info('Will output estimates for 1/2/3/6/15/25 blocks')
for _ in range(2):
... | def sanity_check_estimates_range(self):
'Populate estimation buckets, assert estimates are in a sane range and\n are strictly increasing as the target decreases.'
self.fees_per_kb = []
self.memutxo = []
self.log.info('Will output estimates for 1/2/3/6/15/25 blocks')
for _ in range(2):
... |
9f3ebfcb1c1c224aee7da0a4d363c74141bee64488af9dae8b78166bd7e98967 | def sanity_check_rbf_estimates(self, utxos):
"During 5 blocks, broadcast low fee transactions. Only 10% of them get\n confirmed and the remaining ones get RBF'd with a high fee transaction at\n the next block.\n The block policy estimator should return the high feerate.\n "
node = se... | During 5 blocks, broadcast low fee transactions. Only 10% of them get
confirmed and the remaining ones get RBF'd with a high fee transaction at
the next block.
The block policy estimator should return the high feerate. | test/functional/feature_fee_estimation.py | sanity_check_rbf_estimates | Jlemix/bitcoin | 32 | python | def sanity_check_rbf_estimates(self, utxos):
"During 5 blocks, broadcast low fee transactions. Only 10% of them get\n confirmed and the remaining ones get RBF'd with a high fee transaction at\n the next block.\n The block policy estimator should return the high feerate.\n "
node = se... | def sanity_check_rbf_estimates(self, utxos):
"During 5 blocks, broadcast low fee transactions. Only 10% of them get\n confirmed and the remaining ones get RBF'd with a high fee transaction at\n the next block.\n The block policy estimator should return the high feerate.\n "
node = se... |
65fded06436430a9b2c22de01effb4295b29b7ccac264bcd2c11c8de18b00d29 | def __init__(self):
'Constructeur de la commande'
Commande.__init__(self, 'score', 'score')
self.schema = ''
self.aide_courte = 'affiche votre feuille de personnage'
self.aide_longue = 'Cette commande vous donne des informations générales sur votre personnage. Considérez ces informations comme une f... | Constructeur de la commande | src/primaires/perso/commandes/score/__init__.py | __init__ | vlegoff/tsunami | 14 | python | def __init__(self):
Commande.__init__(self, 'score', 'score')
self.schema =
self.aide_courte = 'affiche votre feuille de personnage'
self.aide_longue = 'Cette commande vous donne des informations générales sur votre personnage. Considérez ces informations comme une fiche de personnage, vous donnan... | def __init__(self):
Commande.__init__(self, 'score', 'score')
self.schema =
self.aide_courte = 'affiche votre feuille de personnage'
self.aide_longue = 'Cette commande vous donne des informations générales sur votre personnage. Considérez ces informations comme une fiche de personnage, vous donnan... |
dfdcab9a4014813dbe1eb9e4cdb41a4529f18e1000c708c36531826b46673aaf | def interpreter(self, personnage, dic_masques):
'Interprétation de la commande'
(personnage << MontrerScore.montrer(personnage)) | Interprétation de la commande | src/primaires/perso/commandes/score/__init__.py | interpreter | vlegoff/tsunami | 14 | python | def interpreter(self, personnage, dic_masques):
(personnage << MontrerScore.montrer(personnage)) | def interpreter(self, personnage, dic_masques):
(personnage << MontrerScore.montrer(personnage))<|docstring|>Interprétation de la commande<|endoftext|> |
76faaad4d21a476321e7c26596048ea5921b3a9085993cabdafc33ca6602c095 | def forward(self, src_seq, tgt_seq, **kwargs):
' Forward process of NMT model\n\n Given source and target side, return the probabilities of the samples.\n '
raise NotImplementedError | Forward process of NMT model
Given source and target side, return the probabilities of the samples. | src/models/base.py | forward | 15091444119/NJUNMT-pytorch | 86 | python | def forward(self, src_seq, tgt_seq, **kwargs):
' Forward process of NMT model\n\n Given source and target side, return the probabilities of the samples.\n '
raise NotImplementedError | def forward(self, src_seq, tgt_seq, **kwargs):
' Forward process of NMT model\n\n Given source and target side, return the probabilities of the samples.\n '
raise NotImplementedError<|docstring|>Forward process of NMT model
Given source and target side, return the probabilities of the samples.<|e... |
f978ade2c3dca4d992435b21dece9c70f543d566fc42595a5177095d15b33fd0 | def init_decoder(self, enc_outputs, expand_size=1):
'\n Prepare for decoding\n Args:\n enc_outputs (dict): Output dictionary from the return value of ```encode```\n expand_size: (int): Repeat for several times along the first dimension. This is usefull for\n beam s... | Prepare for decoding
Args:
enc_outputs (dict): Output dictionary from the return value of ```encode```
expand_size: (int): Repeat for several times along the first dimension. This is usefull for
beam search
Returns (dict):
A dict object store the states in decoding phase. | src/models/base.py | init_decoder | 15091444119/NJUNMT-pytorch | 86 | python | def init_decoder(self, enc_outputs, expand_size=1):
'\n Prepare for decoding\n Args:\n enc_outputs (dict): Output dictionary from the return value of ```encode```\n expand_size: (int): Repeat for several times along the first dimension. This is usefull for\n beam s... | def init_decoder(self, enc_outputs, expand_size=1):
'\n Prepare for decoding\n Args:\n enc_outputs (dict): Output dictionary from the return value of ```encode```\n expand_size: (int): Repeat for several times along the first dimension. This is usefull for\n beam s... |
d6510fbcabeef044dbb712bda20ebaa12ce94815c513b26b6f0134aca8f72d36 | def encode(self, src_seq):
'\n Encode the source side\n '
raise NotImplementedError | Encode the source side | src/models/base.py | encode | 15091444119/NJUNMT-pytorch | 86 | python | def encode(self, src_seq):
'\n \n '
raise NotImplementedError | def encode(self, src_seq):
'\n \n '
raise NotImplementedError<|docstring|>Encode the source side<|endoftext|> |
e907f69d142b77d76d18b7fc6c4395d580bb2195a810214a6753cb15b7a05eb4 | def decode(self, tgt_seq, dec_states, log_probs=True):
'\n Decoding for one step\n Args:\n tgt_seq (torch.Tensor): All the generated tokens before.\n dec_states (dict): Decoding states.\n log_probs (bool): Return logarithm probabilities or probabilities. Default is Tru... | Decoding for one step
Args:
tgt_seq (torch.Tensor): All the generated tokens before.
dec_states (dict): Decoding states.
log_probs (bool): Return logarithm probabilities or probabilities. Default is True.
Returns:
Scores of next tokens and decoding states. | src/models/base.py | decode | 15091444119/NJUNMT-pytorch | 86 | python | def decode(self, tgt_seq, dec_states, log_probs=True):
'\n Decoding for one step\n Args:\n tgt_seq (torch.Tensor): All the generated tokens before.\n dec_states (dict): Decoding states.\n log_probs (bool): Return logarithm probabilities or probabilities. Default is Tru... | def decode(self, tgt_seq, dec_states, log_probs=True):
'\n Decoding for one step\n Args:\n tgt_seq (torch.Tensor): All the generated tokens before.\n dec_states (dict): Decoding states.\n log_probs (bool): Return logarithm probabilities or probabilities. Default is Tru... |
302e495356c22c48781d52068fda4ade9178c78a47a907229e5fa5e831470ba4 | def reorder_dec_states(self, dec_states, new_beam_indices, beam_size):
'\n Re-ordering decoding states according to newly selected beam indices\n\n Args:\n dec_states (dict):\n new_beam_indices (torch.Tensor):\n beam_size (int):\n\n Returns:\n Re-orde... | Re-ordering decoding states according to newly selected beam indices
Args:
dec_states (dict):
new_beam_indices (torch.Tensor):
beam_size (int):
Returns:
Re-ordered dec_states | src/models/base.py | reorder_dec_states | 15091444119/NJUNMT-pytorch | 86 | python | def reorder_dec_states(self, dec_states, new_beam_indices, beam_size):
'\n Re-ordering decoding states according to newly selected beam indices\n\n Args:\n dec_states (dict):\n new_beam_indices (torch.Tensor):\n beam_size (int):\n\n Returns:\n Re-orde... | def reorder_dec_states(self, dec_states, new_beam_indices, beam_size):
'\n Re-ordering decoding states according to newly selected beam indices\n\n Args:\n dec_states (dict):\n new_beam_indices (torch.Tensor):\n beam_size (int):\n\n Returns:\n Re-orde... |
f2f36be5ce3e3694f7b8f689a6f5a0bad13ac9e8ce1d6557b42c0a1ea04eb991 | def atMostNGivenDigitSet(self, D, N):
'\n :type D: List[str]\n :type N: int\n :rtype: int\n '
S = str(N)
K = len(S)
dp = (([0] * K) + [1])
for i in xrange((K - 1), (- 1), (- 1)):
for d in D:
if (d < S[i]):
dp[i] += (len(D) ** ((K - i) -... | :type D: List[str]
:type N: int
:rtype: int | cs15211/NumbersAtMostNGivenDigitSet.py | atMostNGivenDigitSet | JulyKikuAkita/PythonPrac | 1 | python | def atMostNGivenDigitSet(self, D, N):
'\n :type D: List[str]\n :type N: int\n :rtype: int\n '
S = str(N)
K = len(S)
dp = (([0] * K) + [1])
for i in xrange((K - 1), (- 1), (- 1)):
for d in D:
if (d < S[i]):
dp[i] += (len(D) ** ((K - i) -... | def atMostNGivenDigitSet(self, D, N):
'\n :type D: List[str]\n :type N: int\n :rtype: int\n '
S = str(N)
K = len(S)
dp = (([0] * K) + [1])
for i in xrange((K - 1), (- 1), (- 1)):
for d in D:
if (d < S[i]):
dp[i] += (len(D) ** ((K - i) -... |
826e9c2a524a2d46b349d3e4f1569df5ff0ad8e6380fa9f5893049b48ec5c536 | def atMostNGivenDigitSet(self, D, N):
'\n :type D: List[str]\n :type N: int\n :rtype: int\n '
B = len(D)
S = str(N)
K = len(S)
A = []
for c in S:
if (c in D):
A.append((D.index(c) + 1))
else:
i = bisect.bisect(D, c)
... | :type D: List[str]
:type N: int
:rtype: int | cs15211/NumbersAtMostNGivenDigitSet.py | atMostNGivenDigitSet | JulyKikuAkita/PythonPrac | 1 | python | def atMostNGivenDigitSet(self, D, N):
'\n :type D: List[str]\n :type N: int\n :rtype: int\n '
B = len(D)
S = str(N)
K = len(S)
A = []
for c in S:
if (c in D):
A.append((D.index(c) + 1))
else:
i = bisect.bisect(D, c)
... | def atMostNGivenDigitSet(self, D, N):
'\n :type D: List[str]\n :type N: int\n :rtype: int\n '
B = len(D)
S = str(N)
K = len(S)
A = []
for c in S:
if (c in D):
A.append((D.index(c) + 1))
else:
i = bisect.bisect(D, c)
... |
1c002154908ea8c3d629df823f64ce71818a91cdb639b011b2b6d5140045ba4c | def register(linter):
'required method to auto register this checker'
linter.register_checker(ForbiddenImportChecker(linter)) | required method to auto register this checker | venv/lib/python3.6/site-packages/python_ta/checkers/forbidden_import_checker.py | register | PenPenMark06/Stonehenge-MiniMax | 1 | python | def register(linter):
linter.register_checker(ForbiddenImportChecker(linter)) | def register(linter):
linter.register_checker(ForbiddenImportChecker(linter))<|docstring|>required method to auto register this checker<|endoftext|> |
637712bfe844baad251991b247e350358a7b8e1ff9eea11f7f092544217796f7 | @check_messages('forbidden-import')
def visit_import(self, node):
'visit an Import node'
temp = [name for name in node.names if ((name[0] not in self.config.allowed_import_modules) and (name[0] not in self.config.extra_imports))]
if (temp != []):
self.add_message('forbidden-import', node=node, args=... | visit an Import node | venv/lib/python3.6/site-packages/python_ta/checkers/forbidden_import_checker.py | visit_import | PenPenMark06/Stonehenge-MiniMax | 1 | python | @check_messages('forbidden-import')
def visit_import(self, node):
temp = [name for name in node.names if ((name[0] not in self.config.allowed_import_modules) and (name[0] not in self.config.extra_imports))]
if (temp != []):
self.add_message('forbidden-import', node=node, args=(', '.join(map((lambda... | @check_messages('forbidden-import')
def visit_import(self, node):
temp = [name for name in node.names if ((name[0] not in self.config.allowed_import_modules) and (name[0] not in self.config.extra_imports))]
if (temp != []):
self.add_message('forbidden-import', node=node, args=(', '.join(map((lambda... |
81f3d36581399b120f086c52f0f6d984f2abb03216f5e94861148f88a37b4a89 | @check_messages('forbidden-import')
def visit_importfrom(self, node):
'visit an ImportFrom node'
if ((node.modname not in self.config.allowed_import_modules) and (node.modname not in self.config.extra_imports)):
self.add_message('forbidden-import', node=node, args=(node.modname, node.lineno)) | visit an ImportFrom node | venv/lib/python3.6/site-packages/python_ta/checkers/forbidden_import_checker.py | visit_importfrom | PenPenMark06/Stonehenge-MiniMax | 1 | python | @check_messages('forbidden-import')
def visit_importfrom(self, node):
if ((node.modname not in self.config.allowed_import_modules) and (node.modname not in self.config.extra_imports)):
self.add_message('forbidden-import', node=node, args=(node.modname, node.lineno)) | @check_messages('forbidden-import')
def visit_importfrom(self, node):
if ((node.modname not in self.config.allowed_import_modules) and (node.modname not in self.config.extra_imports)):
self.add_message('forbidden-import', node=node, args=(node.modname, node.lineno))<|docstring|>visit an ImportFrom node... |
d1edce13055bc0ace5779f0b9bf128fc8f273228c5f59754bf0838c13bdb0706 | def __init__(self, **kwargs):
'\n Initializes a new LogAnalyticsWarning object with values from keyword arguments.\n The following keyword arguments are supported (corresponding to the getters/setters of this class):\n\n :param agent_id:\n The value to assign to the agent_id property... | Initializes a new LogAnalyticsWarning object with values from keyword arguments.
The following keyword arguments are supported (corresponding to the getters/setters of this class):
:param agent_id:
The value to assign to the agent_id property of this LogAnalyticsWarning.
:type agent_id: str
:param host_name:
... | src/oci/log_analytics/models/log_analytics_warning.py | __init__ | ezequielramos/oci-python-sdk | 249 | python | def __init__(self, **kwargs):
'\n Initializes a new LogAnalyticsWarning object with values from keyword arguments.\n The following keyword arguments are supported (corresponding to the getters/setters of this class):\n\n :param agent_id:\n The value to assign to the agent_id property... | def __init__(self, **kwargs):
'\n Initializes a new LogAnalyticsWarning object with values from keyword arguments.\n The following keyword arguments are supported (corresponding to the getters/setters of this class):\n\n :param agent_id:\n The value to assign to the agent_id property... |
7f56a2034f64e49bc580df92a1e34f41461cefb5f1def1ed28b9c3e4ad9222b0 | @property
def agent_id(self):
'\n Gets the agent_id of this LogAnalyticsWarning.\n The unique identifier of the agent associated with the warning\n\n\n :return: The agent_id of this LogAnalyticsWarning.\n :rtype: str\n '
return self._agent_id | Gets the agent_id of this LogAnalyticsWarning.
The unique identifier of the agent associated with the warning
:return: The agent_id of this LogAnalyticsWarning.
:rtype: str | src/oci/log_analytics/models/log_analytics_warning.py | agent_id | ezequielramos/oci-python-sdk | 249 | python | @property
def agent_id(self):
'\n Gets the agent_id of this LogAnalyticsWarning.\n The unique identifier of the agent associated with the warning\n\n\n :return: The agent_id of this LogAnalyticsWarning.\n :rtype: str\n '
return self._agent_id | @property
def agent_id(self):
'\n Gets the agent_id of this LogAnalyticsWarning.\n The unique identifier of the agent associated with the warning\n\n\n :return: The agent_id of this LogAnalyticsWarning.\n :rtype: str\n '
return self._agent_id<|docstring|>Gets the agent_id of t... |
a07bcec9155941119f5aab22543f026e706db385dab35860df8b8fa7fb3c564c | @agent_id.setter
def agent_id(self, agent_id):
'\n Sets the agent_id of this LogAnalyticsWarning.\n The unique identifier of the agent associated with the warning\n\n\n :param agent_id: The agent_id of this LogAnalyticsWarning.\n :type: str\n '
self._agent_id = agent_id | Sets the agent_id of this LogAnalyticsWarning.
The unique identifier of the agent associated with the warning
:param agent_id: The agent_id of this LogAnalyticsWarning.
:type: str | src/oci/log_analytics/models/log_analytics_warning.py | agent_id | ezequielramos/oci-python-sdk | 249 | python | @agent_id.setter
def agent_id(self, agent_id):
'\n Sets the agent_id of this LogAnalyticsWarning.\n The unique identifier of the agent associated with the warning\n\n\n :param agent_id: The agent_id of this LogAnalyticsWarning.\n :type: str\n '
self._agent_id = agent_id | @agent_id.setter
def agent_id(self, agent_id):
'\n Sets the agent_id of this LogAnalyticsWarning.\n The unique identifier of the agent associated with the warning\n\n\n :param agent_id: The agent_id of this LogAnalyticsWarning.\n :type: str\n '
self._agent_id = agent_id<|docst... |
85ee059a8f2dea1574d28f8afe732f2cd08a5818ccfb40b3917029d35e8d6b7a | @property
def host_name(self):
'\n Gets the host_name of this LogAnalyticsWarning.\n The host containing the agent associated with the warning\n\n\n :return: The host_name of this LogAnalyticsWarning.\n :rtype: str\n '
return self._host_name | Gets the host_name of this LogAnalyticsWarning.
The host containing the agent associated with the warning
:return: The host_name of this LogAnalyticsWarning.
:rtype: str | src/oci/log_analytics/models/log_analytics_warning.py | host_name | ezequielramos/oci-python-sdk | 249 | python | @property
def host_name(self):
'\n Gets the host_name of this LogAnalyticsWarning.\n The host containing the agent associated with the warning\n\n\n :return: The host_name of this LogAnalyticsWarning.\n :rtype: str\n '
return self._host_name | @property
def host_name(self):
'\n Gets the host_name of this LogAnalyticsWarning.\n The host containing the agent associated with the warning\n\n\n :return: The host_name of this LogAnalyticsWarning.\n :rtype: str\n '
return self._host_name<|docstring|>Gets the host_name of t... |
fea73020c4b56fe12302fe70b9b6ccf22651105db0f1bc49e53477527eb5957b | @host_name.setter
def host_name(self, host_name):
'\n Sets the host_name of this LogAnalyticsWarning.\n The host containing the agent associated with the warning\n\n\n :param host_name: The host_name of this LogAnalyticsWarning.\n :type: str\n '
self._host_name = host_name | Sets the host_name of this LogAnalyticsWarning.
The host containing the agent associated with the warning
:param host_name: The host_name of this LogAnalyticsWarning.
:type: str | src/oci/log_analytics/models/log_analytics_warning.py | host_name | ezequielramos/oci-python-sdk | 249 | python | @host_name.setter
def host_name(self, host_name):
'\n Sets the host_name of this LogAnalyticsWarning.\n The host containing the agent associated with the warning\n\n\n :param host_name: The host_name of this LogAnalyticsWarning.\n :type: str\n '
self._host_name = host_name | @host_name.setter
def host_name(self, host_name):
'\n Sets the host_name of this LogAnalyticsWarning.\n The host containing the agent associated with the warning\n\n\n :param host_name: The host_name of this LogAnalyticsWarning.\n :type: str\n '
self._host_name = host_name<|do... |
1ce8a89bf49bab4f5aeb6ee0613a2e924f8655ad0185bd062eda4c9c9d3d6f4a | @property
def rule_display_name(self):
'\n Gets the rule_display_name of this LogAnalyticsWarning.\n The display name of the rule which triggered the warning\n\n\n :return: The rule_display_name of this LogAnalyticsWarning.\n :rtype: str\n '
return self._rule_display_name | Gets the rule_display_name of this LogAnalyticsWarning.
The display name of the rule which triggered the warning
:return: The rule_display_name of this LogAnalyticsWarning.
:rtype: str | src/oci/log_analytics/models/log_analytics_warning.py | rule_display_name | ezequielramos/oci-python-sdk | 249 | python | @property
def rule_display_name(self):
'\n Gets the rule_display_name of this LogAnalyticsWarning.\n The display name of the rule which triggered the warning\n\n\n :return: The rule_display_name of this LogAnalyticsWarning.\n :rtype: str\n '
return self._rule_display_name | @property
def rule_display_name(self):
'\n Gets the rule_display_name of this LogAnalyticsWarning.\n The display name of the rule which triggered the warning\n\n\n :return: The rule_display_name of this LogAnalyticsWarning.\n :rtype: str\n '
return self._rule_display_name<|doc... |
a3c24d2d30b73ed4525d128e35484b1bd477b324ef15647603825d7d2ac19eea | @rule_display_name.setter
def rule_display_name(self, rule_display_name):
'\n Sets the rule_display_name of this LogAnalyticsWarning.\n The display name of the rule which triggered the warning\n\n\n :param rule_display_name: The rule_display_name of this LogAnalyticsWarning.\n :type: str... | Sets the rule_display_name of this LogAnalyticsWarning.
The display name of the rule which triggered the warning
:param rule_display_name: The rule_display_name of this LogAnalyticsWarning.
:type: str | src/oci/log_analytics/models/log_analytics_warning.py | rule_display_name | ezequielramos/oci-python-sdk | 249 | python | @rule_display_name.setter
def rule_display_name(self, rule_display_name):
'\n Sets the rule_display_name of this LogAnalyticsWarning.\n The display name of the rule which triggered the warning\n\n\n :param rule_display_name: The rule_display_name of this LogAnalyticsWarning.\n :type: str... | @rule_display_name.setter
def rule_display_name(self, rule_display_name):
'\n Sets the rule_display_name of this LogAnalyticsWarning.\n The display name of the rule which triggered the warning\n\n\n :param rule_display_name: The rule_display_name of this LogAnalyticsWarning.\n :type: str... |
24f36e2d57735ad412b625f5fb445ff7b2e54567c15e3fa7e3ae567156733326 | @property
def source_name(self):
'\n Gets the source_name of this LogAnalyticsWarning.\n The name of the source associated with the warning\n\n\n :return: The source_name of this LogAnalyticsWarning.\n :rtype: str\n '
return self._source_name | Gets the source_name of this LogAnalyticsWarning.
The name of the source associated with the warning
:return: The source_name of this LogAnalyticsWarning.
:rtype: str | src/oci/log_analytics/models/log_analytics_warning.py | source_name | ezequielramos/oci-python-sdk | 249 | python | @property
def source_name(self):
'\n Gets the source_name of this LogAnalyticsWarning.\n The name of the source associated with the warning\n\n\n :return: The source_name of this LogAnalyticsWarning.\n :rtype: str\n '
return self._source_name | @property
def source_name(self):
'\n Gets the source_name of this LogAnalyticsWarning.\n The name of the source associated with the warning\n\n\n :return: The source_name of this LogAnalyticsWarning.\n :rtype: str\n '
return self._source_name<|docstring|>Gets the source_name o... |
c9d57edd851d16810fe1e5775a397253886287bec6da601d12f188900ac28bdc | @source_name.setter
def source_name(self, source_name):
'\n Sets the source_name of this LogAnalyticsWarning.\n The name of the source associated with the warning\n\n\n :param source_name: The source_name of this LogAnalyticsWarning.\n :type: str\n '
self._source_name = source... | Sets the source_name of this LogAnalyticsWarning.
The name of the source associated with the warning
:param source_name: The source_name of this LogAnalyticsWarning.
:type: str | src/oci/log_analytics/models/log_analytics_warning.py | source_name | ezequielramos/oci-python-sdk | 249 | python | @source_name.setter
def source_name(self, source_name):
'\n Sets the source_name of this LogAnalyticsWarning.\n The name of the source associated with the warning\n\n\n :param source_name: The source_name of this LogAnalyticsWarning.\n :type: str\n '
self._source_name = source... | @source_name.setter
def source_name(self, source_name):
'\n Sets the source_name of this LogAnalyticsWarning.\n The name of the source associated with the warning\n\n\n :param source_name: The source_name of this LogAnalyticsWarning.\n :type: str\n '
self._source_name = source... |
6fcc49f2216f07f4bd2b2e52b321a13eb35f7235ffa95c195b980b9bbd0f849c | @property
def compartment_id(self):
'\n Gets the compartment_id of this LogAnalyticsWarning.\n The entity compartment ID.\n\n\n :return: The compartment_id of this LogAnalyticsWarning.\n :rtype: str\n '
return self._compartment_id | Gets the compartment_id of this LogAnalyticsWarning.
The entity compartment ID.
:return: The compartment_id of this LogAnalyticsWarning.
:rtype: str | src/oci/log_analytics/models/log_analytics_warning.py | compartment_id | ezequielramos/oci-python-sdk | 249 | python | @property
def compartment_id(self):
'\n Gets the compartment_id of this LogAnalyticsWarning.\n The entity compartment ID.\n\n\n :return: The compartment_id of this LogAnalyticsWarning.\n :rtype: str\n '
return self._compartment_id | @property
def compartment_id(self):
'\n Gets the compartment_id of this LogAnalyticsWarning.\n The entity compartment ID.\n\n\n :return: The compartment_id of this LogAnalyticsWarning.\n :rtype: str\n '
return self._compartment_id<|docstring|>Gets the compartment_id of this Lo... |
4d8ce0ec808d2ae1778ac1df3c787107c05d98bc11e2eb6abccddc3fe90d4d84 | @compartment_id.setter
def compartment_id(self, compartment_id):
'\n Sets the compartment_id of this LogAnalyticsWarning.\n The entity compartment ID.\n\n\n :param compartment_id: The compartment_id of this LogAnalyticsWarning.\n :type: str\n '
self._compartment_id = compartme... | Sets the compartment_id of this LogAnalyticsWarning.
The entity compartment ID.
:param compartment_id: The compartment_id of this LogAnalyticsWarning.
:type: str | src/oci/log_analytics/models/log_analytics_warning.py | compartment_id | ezequielramos/oci-python-sdk | 249 | python | @compartment_id.setter
def compartment_id(self, compartment_id):
'\n Sets the compartment_id of this LogAnalyticsWarning.\n The entity compartment ID.\n\n\n :param compartment_id: The compartment_id of this LogAnalyticsWarning.\n :type: str\n '
self._compartment_id = compartme... | @compartment_id.setter
def compartment_id(self, compartment_id):
'\n Sets the compartment_id of this LogAnalyticsWarning.\n The entity compartment ID.\n\n\n :param compartment_id: The compartment_id of this LogAnalyticsWarning.\n :type: str\n '
self._compartment_id = compartme... |
7f9b18d293cc681ddc121c806732aa79b59edb1acaf7dbd29fe4fd5c05601b16 | @property
def source_display_name(self):
'\n Gets the source_display_name of this LogAnalyticsWarning.\n The display name of the source associated with the warning\n\n\n :return: The source_display_name of this LogAnalyticsWarning.\n :rtype: str\n '
return self._source_display... | Gets the source_display_name of this LogAnalyticsWarning.
The display name of the source associated with the warning
:return: The source_display_name of this LogAnalyticsWarning.
:rtype: str | src/oci/log_analytics/models/log_analytics_warning.py | source_display_name | ezequielramos/oci-python-sdk | 249 | python | @property
def source_display_name(self):
'\n Gets the source_display_name of this LogAnalyticsWarning.\n The display name of the source associated with the warning\n\n\n :return: The source_display_name of this LogAnalyticsWarning.\n :rtype: str\n '
return self._source_display... | @property
def source_display_name(self):
'\n Gets the source_display_name of this LogAnalyticsWarning.\n The display name of the source associated with the warning\n\n\n :return: The source_display_name of this LogAnalyticsWarning.\n :rtype: str\n '
return self._source_display... |
0e3c2b176e26f7f3a699e0dac44d97a5ce2a01e9df115686e15f89feb616b085 | @source_display_name.setter
def source_display_name(self, source_display_name):
'\n Sets the source_display_name of this LogAnalyticsWarning.\n The display name of the source associated with the warning\n\n\n :param source_display_name: The source_display_name of this LogAnalyticsWarning.\n ... | Sets the source_display_name of this LogAnalyticsWarning.
The display name of the source associated with the warning
:param source_display_name: The source_display_name of this LogAnalyticsWarning.
:type: str | src/oci/log_analytics/models/log_analytics_warning.py | source_display_name | ezequielramos/oci-python-sdk | 249 | python | @source_display_name.setter
def source_display_name(self, source_display_name):
'\n Sets the source_display_name of this LogAnalyticsWarning.\n The display name of the source associated with the warning\n\n\n :param source_display_name: The source_display_name of this LogAnalyticsWarning.\n ... | @source_display_name.setter
def source_display_name(self, source_display_name):
'\n Sets the source_display_name of this LogAnalyticsWarning.\n The display name of the source associated with the warning\n\n\n :param source_display_name: The source_display_name of this LogAnalyticsWarning.\n ... |
36ddbf553299aa1ee42704cef1e8ec8a6e7986499b67b6866c1b8c768daa27dc | @property
def entity_name(self):
'\n Gets the entity_name of this LogAnalyticsWarning.\n The name of the entity associated with the warning\n\n\n :return: The entity_name of this LogAnalyticsWarning.\n :rtype: str\n '
return self._entity_name | Gets the entity_name of this LogAnalyticsWarning.
The name of the entity associated with the warning
:return: The entity_name of this LogAnalyticsWarning.
:rtype: str | src/oci/log_analytics/models/log_analytics_warning.py | entity_name | ezequielramos/oci-python-sdk | 249 | python | @property
def entity_name(self):
'\n Gets the entity_name of this LogAnalyticsWarning.\n The name of the entity associated with the warning\n\n\n :return: The entity_name of this LogAnalyticsWarning.\n :rtype: str\n '
return self._entity_name | @property
def entity_name(self):
'\n Gets the entity_name of this LogAnalyticsWarning.\n The name of the entity associated with the warning\n\n\n :return: The entity_name of this LogAnalyticsWarning.\n :rtype: str\n '
return self._entity_name<|docstring|>Gets the entity_name o... |
ddec4acf198e1e367563a1289d148760e17e52a2336519b5a4834d1a094b7dbb | @entity_name.setter
def entity_name(self, entity_name):
'\n Sets the entity_name of this LogAnalyticsWarning.\n The name of the entity associated with the warning\n\n\n :param entity_name: The entity_name of this LogAnalyticsWarning.\n :type: str\n '
self._entity_name = entity... | Sets the entity_name of this LogAnalyticsWarning.
The name of the entity associated with the warning
:param entity_name: The entity_name of this LogAnalyticsWarning.
:type: str | src/oci/log_analytics/models/log_analytics_warning.py | entity_name | ezequielramos/oci-python-sdk | 249 | python | @entity_name.setter
def entity_name(self, entity_name):
'\n Sets the entity_name of this LogAnalyticsWarning.\n The name of the entity associated with the warning\n\n\n :param entity_name: The entity_name of this LogAnalyticsWarning.\n :type: str\n '
self._entity_name = entity... | @entity_name.setter
def entity_name(self, entity_name):
'\n Sets the entity_name of this LogAnalyticsWarning.\n The name of the entity associated with the warning\n\n\n :param entity_name: The entity_name of this LogAnalyticsWarning.\n :type: str\n '
self._entity_name = entity... |
b5cf321249c7a8ad1a50d75208abe96a082bd8867102fe4663f9d4749be50a8f | @property
def time_collected(self):
'\n Gets the time_collected of this LogAnalyticsWarning.\n The time at which the warning was most recently collected\n\n\n :return: The time_collected of this LogAnalyticsWarning.\n :rtype: datetime\n '
return self._time_collected | Gets the time_collected of this LogAnalyticsWarning.
The time at which the warning was most recently collected
:return: The time_collected of this LogAnalyticsWarning.
:rtype: datetime | src/oci/log_analytics/models/log_analytics_warning.py | time_collected | ezequielramos/oci-python-sdk | 249 | python | @property
def time_collected(self):
'\n Gets the time_collected of this LogAnalyticsWarning.\n The time at which the warning was most recently collected\n\n\n :return: The time_collected of this LogAnalyticsWarning.\n :rtype: datetime\n '
return self._time_collected | @property
def time_collected(self):
'\n Gets the time_collected of this LogAnalyticsWarning.\n The time at which the warning was most recently collected\n\n\n :return: The time_collected of this LogAnalyticsWarning.\n :rtype: datetime\n '
return self._time_collected<|docstring... |
64aab265aa2f44563a2a05dd94840144a096352ee04046910ac67950ab9036e5 | @time_collected.setter
def time_collected(self, time_collected):
'\n Sets the time_collected of this LogAnalyticsWarning.\n The time at which the warning was most recently collected\n\n\n :param time_collected: The time_collected of this LogAnalyticsWarning.\n :type: datetime\n '
... | Sets the time_collected of this LogAnalyticsWarning.
The time at which the warning was most recently collected
:param time_collected: The time_collected of this LogAnalyticsWarning.
:type: datetime | src/oci/log_analytics/models/log_analytics_warning.py | time_collected | ezequielramos/oci-python-sdk | 249 | python | @time_collected.setter
def time_collected(self, time_collected):
'\n Sets the time_collected of this LogAnalyticsWarning.\n The time at which the warning was most recently collected\n\n\n :param time_collected: The time_collected of this LogAnalyticsWarning.\n :type: datetime\n '
... | @time_collected.setter
def time_collected(self, time_collected):
'\n Sets the time_collected of this LogAnalyticsWarning.\n The time at which the warning was most recently collected\n\n\n :param time_collected: The time_collected of this LogAnalyticsWarning.\n :type: datetime\n '
... |
62af919a3c6f26c332fab27dadb896987e98aaf4f7753a31eb69a9c7e5fdeb92 | @property
def warning_id(self):
'\n Gets the warning_id of this LogAnalyticsWarning.\n The unique identifier of the warning\n\n\n :return: The warning_id of this LogAnalyticsWarning.\n :rtype: str\n '
return self._warning_id | Gets the warning_id of this LogAnalyticsWarning.
The unique identifier of the warning
:return: The warning_id of this LogAnalyticsWarning.
:rtype: str | src/oci/log_analytics/models/log_analytics_warning.py | warning_id | ezequielramos/oci-python-sdk | 249 | python | @property
def warning_id(self):
'\n Gets the warning_id of this LogAnalyticsWarning.\n The unique identifier of the warning\n\n\n :return: The warning_id of this LogAnalyticsWarning.\n :rtype: str\n '
return self._warning_id | @property
def warning_id(self):
'\n Gets the warning_id of this LogAnalyticsWarning.\n The unique identifier of the warning\n\n\n :return: The warning_id of this LogAnalyticsWarning.\n :rtype: str\n '
return self._warning_id<|docstring|>Gets the warning_id of this LogAnalytics... |
cd50470fe7b710265fe72721d99d23207c441fc257a3c51a92f146fb050272eb | @warning_id.setter
def warning_id(self, warning_id):
'\n Sets the warning_id of this LogAnalyticsWarning.\n The unique identifier of the warning\n\n\n :param warning_id: The warning_id of this LogAnalyticsWarning.\n :type: str\n '
self._warning_id = warning_id | Sets the warning_id of this LogAnalyticsWarning.
The unique identifier of the warning
:param warning_id: The warning_id of this LogAnalyticsWarning.
:type: str | src/oci/log_analytics/models/log_analytics_warning.py | warning_id | ezequielramos/oci-python-sdk | 249 | python | @warning_id.setter
def warning_id(self, warning_id):
'\n Sets the warning_id of this LogAnalyticsWarning.\n The unique identifier of the warning\n\n\n :param warning_id: The warning_id of this LogAnalyticsWarning.\n :type: str\n '
self._warning_id = warning_id | @warning_id.setter
def warning_id(self, warning_id):
'\n Sets the warning_id of this LogAnalyticsWarning.\n The unique identifier of the warning\n\n\n :param warning_id: The warning_id of this LogAnalyticsWarning.\n :type: str\n '
self._warning_id = warning_id<|docstring|>Sets... |
17a3e61d86323ae3176e914b1748a38aa4072dcf06adbdbc0429187e02ae4735 | @property
def time_of_initial_warning(self):
'\n Gets the time_of_initial_warning of this LogAnalyticsWarning.\n The date at which the warning was initially triggered\n\n\n :return: The time_of_initial_warning of this LogAnalyticsWarning.\n :rtype: datetime\n '
return self._ti... | Gets the time_of_initial_warning of this LogAnalyticsWarning.
The date at which the warning was initially triggered
:return: The time_of_initial_warning of this LogAnalyticsWarning.
:rtype: datetime | src/oci/log_analytics/models/log_analytics_warning.py | time_of_initial_warning | ezequielramos/oci-python-sdk | 249 | python | @property
def time_of_initial_warning(self):
'\n Gets the time_of_initial_warning of this LogAnalyticsWarning.\n The date at which the warning was initially triggered\n\n\n :return: The time_of_initial_warning of this LogAnalyticsWarning.\n :rtype: datetime\n '
return self._ti... | @property
def time_of_initial_warning(self):
'\n Gets the time_of_initial_warning of this LogAnalyticsWarning.\n The date at which the warning was initially triggered\n\n\n :return: The time_of_initial_warning of this LogAnalyticsWarning.\n :rtype: datetime\n '
return self._ti... |
3a7e905730e699e6b3dd116ec7c40bfb6f87289b83ea1ce097cd54833124e83b | @time_of_initial_warning.setter
def time_of_initial_warning(self, time_of_initial_warning):
'\n Sets the time_of_initial_warning of this LogAnalyticsWarning.\n The date at which the warning was initially triggered\n\n\n :param time_of_initial_warning: The time_of_initial_warning of this LogAnal... | Sets the time_of_initial_warning of this LogAnalyticsWarning.
The date at which the warning was initially triggered
:param time_of_initial_warning: The time_of_initial_warning of this LogAnalyticsWarning.
:type: datetime | src/oci/log_analytics/models/log_analytics_warning.py | time_of_initial_warning | ezequielramos/oci-python-sdk | 249 | python | @time_of_initial_warning.setter
def time_of_initial_warning(self, time_of_initial_warning):
'\n Sets the time_of_initial_warning of this LogAnalyticsWarning.\n The date at which the warning was initially triggered\n\n\n :param time_of_initial_warning: The time_of_initial_warning of this LogAnal... | @time_of_initial_warning.setter
def time_of_initial_warning(self, time_of_initial_warning):
'\n Sets the time_of_initial_warning of this LogAnalyticsWarning.\n The date at which the warning was initially triggered\n\n\n :param time_of_initial_warning: The time_of_initial_warning of this LogAnal... |
60debcd17f33225e0968966802e80de0ecba95d28cfc25abbf0f9293e1e7c616 | @property
def is_active(self):
'\n Gets the is_active of this LogAnalyticsWarning.\n A flag indicating if the warning is currently active\n\n\n :return: The is_active of this LogAnalyticsWarning.\n :rtype: bool\n '
return self._is_active | Gets the is_active of this LogAnalyticsWarning.
A flag indicating if the warning is currently active
:return: The is_active of this LogAnalyticsWarning.
:rtype: bool | src/oci/log_analytics/models/log_analytics_warning.py | is_active | ezequielramos/oci-python-sdk | 249 | python | @property
def is_active(self):
'\n Gets the is_active of this LogAnalyticsWarning.\n A flag indicating if the warning is currently active\n\n\n :return: The is_active of this LogAnalyticsWarning.\n :rtype: bool\n '
return self._is_active | @property
def is_active(self):
'\n Gets the is_active of this LogAnalyticsWarning.\n A flag indicating if the warning is currently active\n\n\n :return: The is_active of this LogAnalyticsWarning.\n :rtype: bool\n '
return self._is_active<|docstring|>Gets the is_active of this ... |
20b389b17279999fd2a53b8f59af6c7113017ef4c1ed538c0ba6c858ce7636b1 | @is_active.setter
def is_active(self, is_active):
'\n Sets the is_active of this LogAnalyticsWarning.\n A flag indicating if the warning is currently active\n\n\n :param is_active: The is_active of this LogAnalyticsWarning.\n :type: bool\n '
self._is_active = is_active | Sets the is_active of this LogAnalyticsWarning.
A flag indicating if the warning is currently active
:param is_active: The is_active of this LogAnalyticsWarning.
:type: bool | src/oci/log_analytics/models/log_analytics_warning.py | is_active | ezequielramos/oci-python-sdk | 249 | python | @is_active.setter
def is_active(self, is_active):
'\n Sets the is_active of this LogAnalyticsWarning.\n A flag indicating if the warning is currently active\n\n\n :param is_active: The is_active of this LogAnalyticsWarning.\n :type: bool\n '
self._is_active = is_active | @is_active.setter
def is_active(self, is_active):
'\n Sets the is_active of this LogAnalyticsWarning.\n A flag indicating if the warning is currently active\n\n\n :param is_active: The is_active of this LogAnalyticsWarning.\n :type: bool\n '
self._is_active = is_active<|docstr... |
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