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10,600 | astropy/photutils | photutils/segmentation/core.py | SegmentationImage.remove_masked_labels | def remove_masked_labels(self, mask, partial_overlap=True,
relabel=False):
"""
Remove labeled segments located within a masked region.
Parameters
----------
mask : array_like (bool)
A boolean mask, with the same shape as the segmentation
... | python | def remove_masked_labels(self, mask, partial_overlap=True,
relabel=False):
"""
Remove labeled segments located within a masked region.
Parameters
----------
mask : array_like (bool)
A boolean mask, with the same shape as the segmentation
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10,601 | astropy/photutils | photutils/segmentation/core.py | SegmentationImage.outline_segments | def outline_segments(self, mask_background=False):
"""
Outline the labeled segments.
The "outlines" represent the pixels *just inside* the segments,
leaving the background pixels unmodified.
Parameters
----------
mask_background : bool, optional
Set ... | python | def outline_segments(self, mask_background=False):
"""
Outline the labeled segments.
The "outlines" represent the pixels *just inside* the segments,
leaving the background pixels unmodified.
Parameters
----------
mask_background : bool, optional
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10,602 | astropy/photutils | photutils/aperture/mask.py | ApertureMask._overlap_slices | def _overlap_slices(self, shape):
"""
Calculate the slices for the overlapping part of the bounding
box and an array of the given shape.
Parameters
----------
shape : tuple of int
The ``(ny, nx)`` shape of array where the slices are to be
applied.... | python | def _overlap_slices(self, shape):
"""
Calculate the slices for the overlapping part of the bounding
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Parameters
----------
shape : tuple of int
The ``(ny, nx)`` shape of array where the slices are to be
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10,603 | astropy/photutils | photutils/aperture/mask.py | ApertureMask.to_image | def to_image(self, shape):
"""
Return an image of the mask in a 2D array of the given shape,
taking any edge effects into account.
Parameters
----------
shape : tuple of int
The ``(ny, nx)`` shape of the output array.
Returns
-------
... | python | def to_image(self, shape):
"""
Return an image of the mask in a 2D array of the given shape,
taking any edge effects into account.
Parameters
----------
shape : tuple of int
The ``(ny, nx)`` shape of the output array.
Returns
-------
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10,604 | astropy/photutils | photutils/aperture/mask.py | ApertureMask.cutout | def cutout(self, data, fill_value=0., copy=False):
"""
Create a cutout from the input data over the mask bounding box,
taking any edge effects into account.
Parameters
----------
data : array_like
A 2D array on which to apply the aperture mask.
fill_... | python | def cutout(self, data, fill_value=0., copy=False):
"""
Create a cutout from the input data over the mask bounding box,
taking any edge effects into account.
Parameters
----------
data : array_like
A 2D array on which to apply the aperture mask.
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10,605 | astropy/photutils | photutils/aperture/mask.py | ApertureMask.multiply | def multiply(self, data, fill_value=0.):
"""
Multiply the aperture mask with the input data, taking any edge
effects into account.
The result is a mask-weighted cutout from the data.
Parameters
----------
data : array_like or `~astropy.units.Quantity`
... | python | def multiply(self, data, fill_value=0.):
"""
Multiply the aperture mask with the input data, taking any edge
effects into account.
The result is a mask-weighted cutout from the data.
Parameters
----------
data : array_like or `~astropy.units.Quantity`
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10,606 | astropy/photutils | photutils/segmentation/deblend.py | deblend_sources | def deblend_sources(data, segment_img, npixels, filter_kernel=None,
labels=None, nlevels=32, contrast=0.001,
mode='exponential', connectivity=8, relabel=True):
"""
Deblend overlapping sources labeled in a segmentation image.
Sources are deblended using a combination ... | python | def deblend_sources(data, segment_img, npixels, filter_kernel=None,
labels=None, nlevels=32, contrast=0.001,
mode='exponential', connectivity=8, relabel=True):
"""
Deblend overlapping sources labeled in a segmentation image.
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10,607 | astropy/photutils | photutils/utils/_moments.py | _moments_central | def _moments_central(data, center=None, order=1):
"""
Calculate the central image moments up to the specified order.
Parameters
----------
data : 2D array-like
The input 2D array.
center : tuple of two floats or `None`, optional
The ``(x, y)`` center position. If `None` it wil... | python | def _moments_central(data, center=None, order=1):
"""
Calculate the central image moments up to the specified order.
Parameters
----------
data : 2D array-like
The input 2D array.
center : tuple of two floats or `None`, optional
The ``(x, y)`` center position. If `None` it wil... | [
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10,608 | astropy/photutils | photutils/isophote/harmonics.py | first_and_second_harmonic_function | def first_and_second_harmonic_function(phi, c):
"""
Compute the harmonic function value used to calculate the
corrections for ellipse fitting.
This function includes simultaneously both the first and second
order harmonics:
.. math::
f(phi) = c[0] + c[1]*\\sin(phi) + c[2]*\\cos(phi) +... | python | def first_and_second_harmonic_function(phi, c):
"""
Compute the harmonic function value used to calculate the
corrections for ellipse fitting.
This function includes simultaneously both the first and second
order harmonics:
.. math::
f(phi) = c[0] + c[1]*\\sin(phi) + c[2]*\\cos(phi) +... | [
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10,609 | astropy/photutils | photutils/psf/matching/windows.py | _radial_distance | def _radial_distance(shape):
"""
Return an array where each value is the Euclidean distance from the
array center.
Parameters
----------
shape : tuple of int
The size of the output array along each axis.
Returns
-------
result : `~numpy.ndarray`
An array containing ... | python | def _radial_distance(shape):
"""
Return an array where each value is the Euclidean distance from the
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Parameters
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shape : tuple of int
The size of the output array along each axis.
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result : `~numpy.ndarray`
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10,610 | astropy/photutils | photutils/datasets/load.py | load_spitzer_image | def load_spitzer_image(show_progress=False): # pragma: no cover
"""
Load a 4.5 micron Spitzer image.
The catalog for this image is returned by
:func:`load_spitzer_catalog`.
Parameters
----------
show_progress : bool, optional
Whether to display a progress bar during the download... | python | def load_spitzer_image(show_progress=False): # pragma: no cover
"""
Load a 4.5 micron Spitzer image.
The catalog for this image is returned by
:func:`load_spitzer_catalog`.
Parameters
----------
show_progress : bool, optional
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10,611 | astropy/photutils | photutils/datasets/load.py | load_spitzer_catalog | def load_spitzer_catalog(show_progress=False): # pragma: no cover
"""
Load a 4.5 micron Spitzer catalog.
The image from which this catalog was derived is returned by
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Parameters
----------
show_progress : bool, optional
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Load a 4.5 micron Spitzer catalog.
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10,612 | astropy/photutils | photutils/datasets/load.py | load_irac_psf | def load_irac_psf(channel, show_progress=False): # pragma: no cover
"""
Load a Spitzer IRAC PSF image.
Parameters
----------
channel : int (1-4)
The IRAC channel number:
* Channel 1: 3.6 microns
* Channel 2: 4.5 microns
* Channel 3: 5.8 microns
... | python | def load_irac_psf(channel, show_progress=False): # pragma: no cover
"""
Load a Spitzer IRAC PSF image.
Parameters
----------
channel : int (1-4)
The IRAC channel number:
* Channel 1: 3.6 microns
* Channel 2: 4.5 microns
* Channel 3: 5.8 microns
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10,613 | astropy/photutils | photutils/isophote/ellipse.py | Ellipse.fit_image | def fit_image(self, sma0=None, minsma=0., maxsma=None, step=0.1,
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integrmode=BILINEAR, linear=False, maxrit=None):... | python | def fit_image(self, sma0=None, minsma=0., maxsma=None, step=0.1,
conver=DEFAULT_CONVERGENCE, minit=DEFAULT_MINIT,
maxit=DEFAULT_MAXIT, fflag=DEFAULT_FFLAG,
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10,614 | astropy/photutils | photutils/isophote/ellipse.py | Ellipse.fit_isophote | def fit_isophote(self, sma, step=0.1, conver=DEFAULT_CONVERGENCE,
minit=DEFAULT_MINIT, maxit=DEFAULT_MAXIT,
fflag=DEFAULT_FFLAG, maxgerr=DEFAULT_MAXGERR,
sclip=3., nclip=0, integrmode=BILINEAR,
linear=False, maxrit=None, noniterate=Fals... | python | def fit_isophote(self, sma, step=0.1, conver=DEFAULT_CONVERGENCE,
minit=DEFAULT_MINIT, maxit=DEFAULT_MAXIT,
fflag=DEFAULT_FFLAG, maxgerr=DEFAULT_MAXGERR,
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10,615 | astropy/photutils | photutils/aperture/circle.py | CircularAperture.to_sky | def to_sky(self, wcs, mode='all'):
"""
Convert the aperture to a `SkyCircularAperture` object defined
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Parameters
----------
wcs : `~astropy.wcs.WCS`
The world coordinate system (WCS) transformation to use.
mode : {'all', 'wc... | python | def to_sky(self, wcs, mode='all'):
"""
Convert the aperture to a `SkyCircularAperture` object defined
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The world coordinate system (WCS) transformation to use.
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10,616 | astropy/photutils | photutils/aperture/circle.py | CircularAnnulus.to_sky | def to_sky(self, wcs, mode='all'):
"""
Convert the aperture to a `SkyCircularAnnulus` object defined
in celestial coordinates.
Parameters
----------
wcs : `~astropy.wcs.WCS`
The world coordinate system (WCS) transformation to use.
mode : {'all', 'wcs... | python | def to_sky(self, wcs, mode='all'):
"""
Convert the aperture to a `SkyCircularAnnulus` object defined
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10,617 | astropy/photutils | photutils/aperture/circle.py | SkyCircularAperture.to_pixel | def to_pixel(self, wcs, mode='all'):
"""
Convert the aperture to a `CircularAperture` object defined in
pixel coordinates.
Parameters
----------
wcs : `~astropy.wcs.WCS`
The world coordinate system (WCS) transformation to use.
mode : {'all', 'wcs'}, ... | python | def to_pixel(self, wcs, mode='all'):
"""
Convert the aperture to a `CircularAperture` object defined in
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10,618 | astropy/photutils | photutils/aperture/circle.py | SkyCircularAnnulus.to_pixel | def to_pixel(self, wcs, mode='all'):
"""
Convert the aperture to a `CircularAnnulus` object defined in
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Parameters
----------
wcs : `~astropy.wcs.WCS`
The world coordinate system (WCS) transformation to use.
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Convert the aperture to a `CircularAnnulus` object defined in
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10,619 | astropy/photutils | photutils/datasets/make.py | apply_poisson_noise | def apply_poisson_noise(data, random_state=None):
"""
Apply Poisson noise to an array, where the value of each element in
the input array represents the expected number of counts.
Each pixel in the output array is generated by drawing a random
sample from a Poisson distribution whose expectation va... | python | def apply_poisson_noise(data, random_state=None):
"""
Apply Poisson noise to an array, where the value of each element in
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10,620 | astropy/photutils | photutils/datasets/make.py | make_noise_image | def make_noise_image(shape, type='gaussian', mean=None, stddev=None,
random_state=None):
"""
Make a noise image containing Gaussian or Poisson noise.
Parameters
----------
shape : 2-tuple of int
The shape of the output 2D image.
type : {'gaussian', 'poisson'}
... | python | def make_noise_image(shape, type='gaussian', mean=None, stddev=None,
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Make a noise image containing Gaussian or Poisson noise.
Parameters
----------
shape : 2-tuple of int
The shape of the output 2D image.
type : {'gaussian', 'poisson'}
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10,621 | astropy/photutils | photutils/datasets/make.py | make_random_models_table | def make_random_models_table(n_sources, param_ranges, random_state=None):
"""
Make a `~astropy.table.Table` containing randomly generated
parameters for an Astropy model to simulate a set of sources.
Each row of the table corresponds to a source whose parameters are
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"""
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10,622 | astropy/photutils | photutils/datasets/make.py | make_random_gaussians_table | def make_random_gaussians_table(n_sources, param_ranges, random_state=None):
"""
Make a `~astropy.table.Table` containing randomly generated
parameters for 2D Gaussian sources.
Each row of the table corresponds to a Gaussian source whose
parameters are defined by the column names. The parameters a... | python | def make_random_gaussians_table(n_sources, param_ranges, random_state=None):
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10,623 | astropy/photutils | photutils/datasets/make.py | make_model_sources_image | def make_model_sources_image(shape, model, source_table, oversample=1):
"""
Make an image containing sources generated from a user-specified
model.
Parameters
----------
shape : 2-tuple of int
The shape of the output 2D image.
model : 2D astropy.modeling.models object
The m... | python | def make_model_sources_image(shape, model, source_table, oversample=1):
"""
Make an image containing sources generated from a user-specified
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shape : 2-tuple of int
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10,624 | astropy/photutils | photutils/datasets/make.py | make_4gaussians_image | def make_4gaussians_image(noise=True):
"""
Make an example image containing four 2D Gaussians plus a constant
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The background has a mean of 5.
If ``noise`` is `True`, then Gaussian noise with a mean of 0 and a
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Parameters
... | python | def make_4gaussians_image(noise=True):
"""
Make an example image containing four 2D Gaussians plus a constant
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10,625 | astropy/photutils | photutils/datasets/make.py | make_100gaussians_image | def make_100gaussians_image(noise=True):
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Make an example image containing 100 2D Gaussians plus a constant
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10,626 | astropy/photutils | photutils/datasets/make.py | make_wcs | def make_wcs(shape, galactic=False):
"""
Create a simple celestial WCS object in either the ICRS or Galactic
coordinate frame.
Parameters
----------
shape : 2-tuple of int
The shape of the 2D array to be used with the output
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galactic : bool, optio... | python | def make_wcs(shape, galactic=False):
"""
Create a simple celestial WCS object in either the ICRS or Galactic
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shape : 2-tuple of int
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10,627 | astropy/photutils | photutils/datasets/make.py | make_imagehdu | def make_imagehdu(data, wcs=None):
"""
Create a FITS `~astropy.io.fits.ImageHDU` containing the input 2D
image.
Parameters
----------
data : 2D array-like
The input 2D data.
wcs : `~astropy.wcs.WCS`, optional
The world coordinate system (WCS) transformation to include in
... | python | def make_imagehdu(data, wcs=None):
"""
Create a FITS `~astropy.io.fits.ImageHDU` containing the input 2D
image.
Parameters
----------
data : 2D array-like
The input 2D data.
wcs : `~astropy.wcs.WCS`, optional
The world coordinate system (WCS) transformation to include in
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10,628 | astropy/photutils | photutils/centroids/core.py | centroid_com | def centroid_com(data, mask=None):
"""
Calculate the centroid of an n-dimensional array as its "center of
mass" determined from moments.
Invalid values (e.g. NaNs or infs) in the ``data`` array are
automatically masked.
Parameters
----------
data : array_like
The input n-dimens... | python | def centroid_com(data, mask=None):
"""
Calculate the centroid of an n-dimensional array as its "center of
mass" determined from moments.
Invalid values (e.g. NaNs or infs) in the ``data`` array are
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10,629 | astropy/photutils | photutils/centroids/core.py | gaussian1d_moments | def gaussian1d_moments(data, mask=None):
"""
Estimate 1D Gaussian parameters from the moments of 1D data.
This function can be useful for providing initial parameter values
when fitting a 1D Gaussian to the ``data``.
Parameters
----------
data : array_like (1D)
The 1D array.
m... | python | def gaussian1d_moments(data, mask=None):
"""
Estimate 1D Gaussian parameters from the moments of 1D data.
This function can be useful for providing initial parameter values
when fitting a 1D Gaussian to the ``data``.
Parameters
----------
data : array_like (1D)
The 1D array.
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10,630 | astropy/photutils | photutils/centroids/core.py | fit_2dgaussian | def fit_2dgaussian(data, error=None, mask=None):
"""
Fit a 2D Gaussian plus a constant to a 2D image.
Invalid values (e.g. NaNs or infs) in the ``data`` or ``error``
arrays are automatically masked. The mask for invalid values
represents the combination of the invalid-value masks for the
``dat... | python | def fit_2dgaussian(data, error=None, mask=None):
"""
Fit a 2D Gaussian plus a constant to a 2D image.
Invalid values (e.g. NaNs or infs) in the ``data`` or ``error``
arrays are automatically masked. The mask for invalid values
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``dat... | [
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10,631 | astropy/photutils | photutils/centroids/core.py | centroid_1dg | def centroid_1dg(data, error=None, mask=None):
"""
Calculate the centroid of a 2D array by fitting 1D Gaussians to the
marginal ``x`` and ``y`` distributions of the array.
Invalid values (e.g. NaNs or infs) in the ``data`` or ``error``
arrays are automatically masked. The mask for invalid values
... | python | def centroid_1dg(data, error=None, mask=None):
"""
Calculate the centroid of a 2D array by fitting 1D Gaussians to the
marginal ``x`` and ``y`` distributions of the array.
Invalid values (e.g. NaNs or infs) in the ``data`` or ``error``
arrays are automatically masked. The mask for invalid values
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10,632 | astropy/photutils | photutils/centroids/core.py | centroid_sources | def centroid_sources(data, xpos, ypos, box_size=11, footprint=None,
error=None, mask=None, centroid_func=centroid_com):
"""
Calculate the centroid of sources at the defined positions.
A cutout image centered on each input position will be used to
calculate the centroid position. T... | python | def centroid_sources(data, xpos, ypos, box_size=11, footprint=None,
error=None, mask=None, centroid_func=centroid_com):
"""
Calculate the centroid of sources at the defined positions.
A cutout image centered on each input position will be used to
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10,633 | astropy/photutils | photutils/centroids/core.py | GaussianConst2D.evaluate | def evaluate(x, y, constant, amplitude, x_mean, y_mean, x_stddev,
y_stddev, theta):
"""Two dimensional Gaussian plus constant function."""
model = Const2D(constant)(x, y) + Gaussian2D(amplitude, x_mean,
y_mean, x_stddev,
... | python | def evaluate(x, y, constant, amplitude, x_mean, y_mean, x_stddev,
y_stddev, theta):
"""Two dimensional Gaussian plus constant function."""
model = Const2D(constant)(x, y) + Gaussian2D(amplitude, x_mean,
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10,634 | astropy/photutils | photutils/psf/sandbox.py | DiscretePRF.evaluate | def evaluate(self, x, y, flux, x_0, y_0):
"""
Discrete PRF model evaluation.
Given a certain position and flux the corresponding image of
the PSF is chosen and scaled to the flux. If x and y are
outside the boundaries of the image, zero will be returned.
Parameters
... | python | def evaluate(self, x, y, flux, x_0, y_0):
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Discrete PRF model evaluation.
Given a certain position and flux the corresponding image of
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10,635 | astropy/photutils | photutils/psf/sandbox.py | Reproject._reproject | def _reproject(wcs1, wcs2):
"""
Perform the forward transformation of ``wcs1`` followed by the
inverse transformation of ``wcs2``.
Parameters
----------
wcs1, wcs2 : `~astropy.wcs.WCS` or `~gwcs.wcs.WCS`
The WCS objects.
Returns
-------
... | python | def _reproject(wcs1, wcs2):
"""
Perform the forward transformation of ``wcs1`` followed by the
inverse transformation of ``wcs2``.
Parameters
----------
wcs1, wcs2 : `~astropy.wcs.WCS` or `~gwcs.wcs.WCS`
The WCS objects.
Returns
-------
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10,636 | astropy/photutils | photutils/utils/misc.py | get_version_info | def get_version_info():
"""
Return astropy and photutils versions.
Returns
-------
result : str
The astropy and photutils versions.
"""
from astropy import __version__
astropy_version = __version__
from photutils import __version__
photutils_version = __version__
... | python | def get_version_info():
"""
Return astropy and photutils versions.
Returns
-------
result : str
The astropy and photutils versions.
"""
from astropy import __version__
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10,637 | astropy/photutils | photutils/utils/errors.py | calc_total_error | def calc_total_error(data, bkg_error, effective_gain):
"""
Calculate a total error array, combining a background-only error
array with the Poisson noise of sources.
Parameters
----------
data : array_like or `~astropy.units.Quantity`
The data array.
bkg_error : array_like or `~astr... | python | def calc_total_error(data, bkg_error, effective_gain):
"""
Calculate a total error array, combining a background-only error
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----------
data : array_like or `~astropy.units.Quantity`
The data array.
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10,638 | astropy/photutils | photutils/aperture/rectangle.py | RectangularAperture.to_sky | def to_sky(self, wcs, mode='all'):
"""
Convert the aperture to a `SkyRectangularAperture` object
defined in celestial coordinates.
Parameters
----------
wcs : `~astropy.wcs.WCS`
The world coordinate system (WCS) transformation to use.
mode : {'all', ... | python | def to_sky(self, wcs, mode='all'):
"""
Convert the aperture to a `SkyRectangularAperture` object
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wcs : `~astropy.wcs.WCS`
The world coordinate system (WCS) transformation to use.
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10,639 | astropy/photutils | photutils/aperture/rectangle.py | RectangularAnnulus.to_sky | def to_sky(self, wcs, mode='all'):
"""
Convert the aperture to a `SkyRectangularAnnulus` object
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Parameters
----------
wcs : `~astropy.wcs.WCS`
The world coordinate system (WCS) transformation to use.
mode : {'all', '... | python | def to_sky(self, wcs, mode='all'):
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Convert the aperture to a `SkyRectangularAnnulus` object
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10,640 | astropy/photutils | photutils/aperture/rectangle.py | SkyRectangularAperture.to_pixel | def to_pixel(self, wcs, mode='all'):
"""
Convert the aperture to a `RectangularAperture` object defined
in pixel coordinates.
Parameters
----------
wcs : `~astropy.wcs.WCS`
The world coordinate system (WCS) transformation to use.
mode : {'all', 'wcs'... | python | def to_pixel(self, wcs, mode='all'):
"""
Convert the aperture to a `RectangularAperture` object defined
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10,641 | astropy/photutils | photutils/aperture/rectangle.py | SkyRectangularAnnulus.to_pixel | def to_pixel(self, wcs, mode='all'):
"""
Convert the aperture to a `RectangularAnnulus` object defined in
pixel coordinates.
Parameters
----------
wcs : `~astropy.wcs.WCS`
The world coordinate system (WCS) transformation to use.
mode : {'all', 'wcs'}... | python | def to_pixel(self, wcs, mode='all'):
"""
Convert the aperture to a `RectangularAnnulus` object defined in
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10,642 | astropy/photutils | photutils/psf/epsf.py | _py2intround | def _py2intround(a):
"""
Round the input to the nearest integer.
If two integers are equally close, rounding is done away from 0.
"""
data = np.asanyarray(a)
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np.ceil(data - 0.5)).astype(int)
if not hasattr(a, '__iter__... | python | def _py2intround(a):
"""
Round the input to the nearest integer.
If two integers are equally close, rounding is done away from 0.
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data = np.asanyarray(a)
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10,643 | astropy/photutils | photutils/psf/epsf.py | _interpolate_missing_data | def _interpolate_missing_data(data, mask, method='cubic'):
"""
Interpolate missing data as identified by the ``mask`` keyword.
Parameters
----------
data : 2D `~numpy.ndarray`
An array containing the 2D image.
mask : 2D bool `~numpy.ndarray`
A 2D booleen mask array with the sam... | python | def _interpolate_missing_data(data, mask, method='cubic'):
"""
Interpolate missing data as identified by the ``mask`` keyword.
Parameters
----------
data : 2D `~numpy.ndarray`
An array containing the 2D image.
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10,644 | astropy/photutils | photutils/psf/epsf.py | EPSFFitter._fit_star | def _fit_star(self, epsf, star, fitter, fitter_kwargs,
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"""
Fit an ePSF model to a single star.
The input ``epsf`` will usually be modified by the fitting
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"""
Fit an ePSF model to a single star.
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10,645 | astropy/photutils | photutils/psf/epsf.py | EPSFBuilder._init_img_params | def _init_img_params(param):
"""
Initialize 2D image-type parameters that can accept either a
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"""
if param is not None:
param = np.atleast_1d(param)
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return para... | python | def _init_img_params(param):
"""
Initialize 2D image-type parameters that can accept either a
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"""
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10,646 | astropy/photutils | photutils/psf/epsf.py | EPSFBuilder._create_initial_epsf | def _create_initial_epsf(self, stars):
"""
Create an initial `EPSFModel` object.
The initial ePSF data are all zeros.
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"""
Create an initial `EPSFModel` object.
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10,647 | astropy/photutils | photutils/psf/epsf.py | EPSFBuilder._resample_residual | def _resample_residual(self, star, epsf):
"""
Compute a normalized residual image in the oversampled ePSF
grid.
A normalized residual image is calculated by subtracting the
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"""
Compute a normalized residual image in the oversampled ePSF
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10,648 | astropy/photutils | photutils/psf/epsf.py | EPSFBuilder._resample_residuals | def _resample_residuals(self, stars, epsf):
"""
Compute normalized residual images for all the input stars.
Parameters
----------
stars : `EPSFStars` object
The stars used to build the ePSF.
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The ePSF model.
Retu... | python | def _resample_residuals(self, stars, epsf):
"""
Compute normalized residual images for all the input stars.
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----------
stars : `EPSFStars` object
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10,649 | astropy/photutils | photutils/psf/epsf.py | EPSFBuilder._smooth_epsf | def _smooth_epsf(self, epsf_data):
"""
Smooth the ePSF array by convolving it with a kernel.
Parameters
----------
epsf_data : 2D `~numpy.ndarray`
A 2D array containing the ePSF image.
Returns
-------
result : 2D `~numpy.ndarray`
... | python | def _smooth_epsf(self, epsf_data):
"""
Smooth the ePSF array by convolving it with a kernel.
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epsf_data : 2D `~numpy.ndarray`
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10,650 | astropy/photutils | photutils/psf/epsf.py | EPSFBuilder._recenter_epsf | def _recenter_epsf(self, epsf_data, epsf, centroid_func=centroid_com,
box_size=5, maxiters=20, center_accuracy=1.0e-4):
"""
Calculate the center of the ePSF data and shift the data so the
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Parameters
----... | python | def _recenter_epsf(self, epsf_data, epsf, centroid_func=centroid_com,
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Calculate the center of the ePSF data and shift the data so the
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10,651 | astropy/photutils | photutils/psf/epsf.py | EPSFBuilder._build_epsf_step | def _build_epsf_step(self, stars, epsf=None):
"""
A single iteration of improving an ePSF.
Parameters
----------
stars : `EPSFStars` object
The stars used to build the ePSF.
epsf : `EPSFModel` object, optional
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"""
A single iteration of improving an ePSF.
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10,652 | astropy/photutils | photutils/psf/epsf.py | EPSFBuilder.build_epsf | def build_epsf(self, stars, init_epsf=None):
"""
Iteratively build an ePSF from star cutouts.
Parameters
----------
stars : `EPSFStars` object
The stars used to build the ePSF.
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"""
Iteratively build an ePSF from star cutouts.
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----------
stars : `EPSFStars` object
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10,653 | astropy/photutils | photutils/psf/models.py | FittableImageModel._set_oversampling | def _set_oversampling(self, value):
"""
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"""
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value = np.atleast_1d(value).astype(float)
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10,654 | astropy/photutils | photutils/psf/models.py | FittableImageModel.evaluate | def evaluate(self, x, y, flux, x_0, y_0, use_oversampling=True):
"""
Evaluate the model on some input variables and provided model
parameters.
Parameters
----------
use_oversampling : bool, optional
Whether to use the oversampling factor to calculate the
... | python | def evaluate(self, x, y, flux, x_0, y_0, use_oversampling=True):
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Evaluate the model on some input variables and provided model
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10,655 | astropy/photutils | photutils/psf/models.py | GriddedPSFModel._find_bounds_1d | def _find_bounds_1d(data, x):
"""
Find the index of the lower bound where ``x`` should be inserted
into ``a`` to maintain order.
The index of the upper bound is the index of the lower bound
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"""
Find the index of the lower bound where ``x`` should be inserted
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10,656 | astropy/photutils | photutils/psf/models.py | GriddedPSFModel._bilinear_interp | def _bilinear_interp(xyref, zref, xi, yi):
"""
Perform bilinear interpolation of four 2D arrays located at
points on a regular grid.
Parameters
----------
xyref : list of 4 (x, y) pairs
A list of 4 ``(x, y)`` pairs that form a rectangle.
refdata : 3D... | python | def _bilinear_interp(xyref, zref, xi, yi):
"""
Perform bilinear interpolation of four 2D arrays located at
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10,657 | astropy/photutils | photutils/psf/models.py | GriddedPSFModel.evaluate | def evaluate(self, x, y, flux, x_0, y_0):
"""
Evaluate the `GriddedPSFModel` for the input parameters.
"""
# NOTE: this is needed because the PSF photometry routines input
# length-1 values instead of scalars. TODO: fix the photometry
# routines.
if not np.issca... | python | def evaluate(self, x, y, flux, x_0, y_0):
"""
Evaluate the `GriddedPSFModel` for the input parameters.
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# NOTE: this is needed because the PSF photometry routines input
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10,658 | astropy/photutils | photutils/psf/models.py | IntegratedGaussianPRF.evaluate | def evaluate(self, x, y, flux, x_0, y_0, sigma):
"""Model function Gaussian PSF model."""
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self._erf((x - x_0 - 0.5) / (np.sqrt(2) * sigma))) *
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10,659 | astropy/photutils | photutils/psf/models.py | PRFAdapter.evaluate | def evaluate(self, x, y, flux, x_0, y_0):
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10,660 | astropy/photutils | photutils/isophote/isophote.py | _isophote_list_to_table | def _isophote_list_to_table(isophote_list):
"""
Convert an `~photutils.isophote.IsophoteList` instance to
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Parameters
----------
isophote_list : list of `~photutils.isophote.Isophote` or a `~photutils.isophote.IsophoteList` instance
A list of isophotes.
Re... | python | def _isophote_list_to_table(isophote_list):
"""
Convert an `~photutils.isophote.IsophoteList` instance to
a `~astropy.table.QTable`.
Parameters
----------
isophote_list : list of `~photutils.isophote.Isophote` or a `~photutils.isophote.IsophoteList` instance
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10,661 | astropy/photutils | photutils/isophote/isophote.py | Isophote._compute_fluxes | def _compute_fluxes(self):
"""
Compute integrated flux inside ellipse, as well as inside a
circle defined with the same semimajor axis.
Pixels in a square section enclosing circle are scanned; the
distance of each pixel to the isophote center is compared both
with the se... | python | def _compute_fluxes(self):
"""
Compute integrated flux inside ellipse, as well as inside a
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10,662 | astropy/photutils | photutils/isophote/isophote.py | Isophote._compute_deviations | def _compute_deviations(self, sample, n):
"""
Compute deviations from a perfect ellipse, based on the
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"""
try:
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"""
Compute deviations from a perfect ellipse, based on the
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10,663 | astropy/photutils | photutils/isophote/isophote.py | Isophote._compute_errors | def _compute_errors(self):
"""
Compute parameter errors based on the diagonal of the covariance
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"""
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10,664 | astropy/photutils | photutils/isophote/isophote.py | Isophote.fix_geometry | def fix_geometry(self, isophote):
"""
Fix the geometry of a problematic isophote to be identical to
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This method should be called when the fitting goes berserk and
delivers an isophote with bad geometry, such as ellipticity > 1
or another meaningless s... | python | def fix_geometry(self, isophote):
"""
Fix the geometry of a problematic isophote to be identical to
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10,665 | astropy/photutils | photutils/isophote/isophote.py | IsophoteList.get_closest | def get_closest(self, sma):
"""
Return the `~photutils.isophote.Isophote` instance that has the
closest semimajor axis length to the input semimajor axis.
Parameters
----------
sma : float
The semimajor axis length.
Returns
-------
is... | python | def get_closest(self, sma):
"""
Return the `~photutils.isophote.Isophote` instance that has the
closest semimajor axis length to the input semimajor axis.
Parameters
----------
sma : float
The semimajor axis length.
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-------
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10,666 | astropy/photutils | photutils/utils/interpolation.py | interpolate_masked_data | def interpolate_masked_data(data, mask, error=None, background=None):
"""
Interpolate over masked pixels in data and optional error or
background images.
The value of masked pixels are replaced by the mean value of the
connected neighboring non-masked pixels. This function is intended
for sing... | python | def interpolate_masked_data(data, mask, error=None, background=None):
"""
Interpolate over masked pixels in data and optional error or
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The value of masked pixels are replaced by the mean value of the
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10,667 | google/pyringe | pyringe/plugins/inject_sentinel.py | SentinelInjectPlugin.ThreadsWithRunningExecServers | def ThreadsWithRunningExecServers(self):
"""Returns a list of tids of inferior threads with open exec servers."""
socket_dir = '/tmp/pyringe_%s' % self.inferior.pid
if os.path.isdir(socket_dir):
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if fname.endswith('... | python | def ThreadsWithRunningExecServers(self):
"""Returns a list of tids of inferior threads with open exec servers."""
socket_dir = '/tmp/pyringe_%s' % self.inferior.pid
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10,668 | google/pyringe | pyringe/plugins/inject_sentinel.py | SentinelInjectPlugin.SendToExecSocket | def SendToExecSocket(self, code, tid=None):
"""Inject python code into exec socket."""
response = self._SendToExecSocketRaw(json.dumps(code), tid)
return json.loads(response) | python | def SendToExecSocket(self, code, tid=None):
"""Inject python code into exec socket."""
response = self._SendToExecSocketRaw(json.dumps(code), tid)
return json.loads(response) | [
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10,669 | google/pyringe | pyringe/plugins/inject_sentinel.py | SentinelInjectPlugin.CloseExecSocket | def CloseExecSocket(self, tid=None):
"""Send closing request to exec socket."""
response = self._SendToExecSocketRaw('__kill__', tid)
if response != '__kill_ack__':
logging.warning('May not have succeeded in closing socket, make sure '
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"""Send closing request to exec socket."""
response = self._SendToExecSocketRaw('__kill__', tid)
if response != '__kill_ack__':
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10,670 | google/pyringe | pyringe/plugins/read_only.py | ReadonlyPlugin.Backtrace | def Backtrace(self, to_string=False):
"""Get a backtrace of the current position."""
if self.inferior.is_running:
res = self.inferior.Backtrace()
if to_string:
return res
print res
else:
logging.error('Not attached to any process.') | python | def Backtrace(self, to_string=False):
"""Get a backtrace of the current position."""
if self.inferior.is_running:
res = self.inferior.Backtrace()
if to_string:
return res
print res
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10,671 | google/pyringe | pyringe/plugins/read_only.py | ReadonlyPlugin.ListThreads | def ListThreads(self):
"""List the currently running python threads.
Returns:
A list of the inferior's thread idents, or None if the debugger is not
attached to any process.
"""
if self.inferior.is_running:
return self.inferior.threads
logging.error('Not attached to any process.')... | python | def ListThreads(self):
"""List the currently running python threads.
Returns:
A list of the inferior's thread idents, or None if the debugger is not
attached to any process.
"""
if self.inferior.is_running:
return self.inferior.threads
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10,672 | google/pyringe | pyringe/payload/gdb_service.py | PyFrameObjectPtr.extract_filename | def extract_filename(self):
"""Alternative way of getting the executed file which inspects globals."""
globals_gdbval = self._gdbval['f_globals'].cast(GdbCache.DICT)
global_dict = libpython.PyDictObjectPtr(globals_gdbval)
for key, value in global_dict.iteritems():
if str(key.proxyval(set())) == '_... | python | def extract_filename(self):
"""Alternative way of getting the executed file which inspects globals."""
globals_gdbval = self._gdbval['f_globals'].cast(GdbCache.DICT)
global_dict = libpython.PyDictObjectPtr(globals_gdbval)
for key, value in global_dict.iteritems():
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10,673 | google/pyringe | pyringe/payload/gdb_service.py | GdbService._UnserializableObjectFallback | def _UnserializableObjectFallback(self, obj):
"""Handles sanitizing of unserializable objects for Json.
For instances of heap types, we take the class dict, augment it with the
instance's __dict__, tag it and transmit it over to the RPC client to be
reconstructed there. (Works with both old and new sty... | python | def _UnserializableObjectFallback(self, obj):
"""Handles sanitizing of unserializable objects for Json.
For instances of heap types, we take the class dict, augment it with the
instance's __dict__, tag it and transmit it over to the RPC client to be
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10,674 | google/pyringe | pyringe/payload/gdb_service.py | GdbService._AcceptRPC | def _AcceptRPC(self):
"""Reads RPC request from stdin and processes it, writing result to stdout.
Returns:
True as long as execution is to be continued, False otherwise.
Raises:
RpcException: if no function was specified in the RPC or no such API
function exists.
"""
request =... | python | def _AcceptRPC(self):
"""Reads RPC request from stdin and processes it, writing result to stdout.
Returns:
True as long as execution is to be continued, False otherwise.
Raises:
RpcException: if no function was specified in the RPC or no such API
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"""
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10,675 | google/pyringe | pyringe/payload/gdb_service.py | GdbService._UnpackGdbVal | def _UnpackGdbVal(self, gdb_value):
"""Unpacks gdb.Value objects and returns the best-matched python object."""
val_type = gdb_value.type.code
if val_type == gdb.TYPE_CODE_INT or val_type == gdb.TYPE_CODE_ENUM:
return int(gdb_value)
if val_type == gdb.TYPE_CODE_VOID:
return None
if val_t... | python | def _UnpackGdbVal(self, gdb_value):
"""Unpacks gdb.Value objects and returns the best-matched python object."""
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if val_type == gdb.TYPE_CODE_INT or val_type == gdb.TYPE_CODE_ENUM:
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10,676 | google/pyringe | pyringe/payload/gdb_service.py | GdbService.EnsureGdbPosition | def EnsureGdbPosition(self, pid, tid, frame_depth):
"""Make sure our position matches the request.
Args:
pid: The process ID of the target process
tid: The python thread ident of the target thread
frame_depth: The 'depth' of the requested frame in the frame stack
Raises:
PositionUna... | python | def EnsureGdbPosition(self, pid, tid, frame_depth):
"""Make sure our position matches the request.
Args:
pid: The process ID of the target process
tid: The python thread ident of the target thread
frame_depth: The 'depth' of the requested frame in the frame stack
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10,677 | google/pyringe | pyringe/payload/gdb_service.py | GdbService.IsSymbolFileSane | def IsSymbolFileSane(self, position):
"""Performs basic sanity check by trying to look up a bunch of symbols."""
pos = [position[0], None, None]
self.EnsureGdbPosition(*pos)
try:
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tsta... | python | def IsSymbolFileSane(self, position):
"""Performs basic sanity check by trying to look up a bunch of symbols."""
pos = [position[0], None, None]
self.EnsureGdbPosition(*pos)
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10,678 | google/pyringe | pyringe/payload/gdb_service.py | GdbService.Detach | def Detach(self):
"""Detaches from the inferior. If not attached, this is a no-op."""
# We have to work around the python APIs weirdness :\
if not self.IsAttached():
return None
# Gdb doesn't drain any pending SIGINTs it may have sent to the inferior
# when it simply detaches. We can do this b... | python | def Detach(self):
"""Detaches from the inferior. If not attached, this is a no-op."""
# We have to work around the python APIs weirdness :\
if not self.IsAttached():
return None
# Gdb doesn't drain any pending SIGINTs it may have sent to the inferior
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10,679 | google/pyringe | pyringe/payload/gdb_service.py | GdbService.Call | def Call(self, position, function_call):
"""Perform a function call in the inferior.
WARNING: Since Gdb's concept of threads can't be directly identified with
python threads, the function call will be made from what has to be assumed
is an arbitrary thread. This *will* interrupt the inferior. Continuin... | python | def Call(self, position, function_call):
"""Perform a function call in the inferior.
WARNING: Since Gdb's concept of threads can't be directly identified with
python threads, the function call will be made from what has to be assumed
is an arbitrary thread. This *will* interrupt the inferior. Continuin... | [
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10,680 | google/pyringe | pyringe/payload/gdb_service.py | GdbService.ExecuteRaw | def ExecuteRaw(self, position, command):
"""Send a command string to gdb."""
self.EnsureGdbPosition(position[0], None, None)
return gdb.execute(command, to_string=True) | python | def ExecuteRaw(self, position, command):
"""Send a command string to gdb."""
self.EnsureGdbPosition(position[0], None, None)
return gdb.execute(command, to_string=True) | [
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10,681 | google/pyringe | pyringe/payload/gdb_service.py | GdbService._GetGdbThreadMapping | def _GetGdbThreadMapping(self, position):
"""Gets a mapping from python tid to gdb thread num.
There's no way to get the thread ident from a gdb thread. We only get the
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10,682 | google/pyringe | pyringe/payload/gdb_service.py | GdbService._Inject | def _Inject(self, position, call):
"""Injects evaluation of 'call' in a safe location in the inferior.
Due to the way these injected function calls work, gdb must not be killed
until the call has returned. If that happens, the inferior will be sent
SIGTRAP upon attempting to return from the dummy frame... | python | def _Inject(self, position, call):
"""Injects evaluation of 'call' in a safe location in the inferior.
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10,683 | google/pyringe | pyringe/payload/gdb_service.py | GdbService._BacktraceFromFramePtr | def _BacktraceFromFramePtr(self, frame_ptr):
"""Assembles and returns what looks exactly like python's backtraces."""
# expects frame_ptr to be a gdb.Value
frame_objs = [PyFrameObjectPtr(frame) for frame
in self._IterateChainedList(frame_ptr, 'f_back')]
# We want to output tracebacks ... | python | def _BacktraceFromFramePtr(self, frame_ptr):
"""Assembles and returns what looks exactly like python's backtraces."""
# expects frame_ptr to be a gdb.Value
frame_objs = [PyFrameObjectPtr(frame) for frame
in self._IterateChainedList(frame_ptr, 'f_back')]
# We want to output tracebacks ... | [
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10,684 | google/pyringe | pyringe/inferior.py | GdbProxy.Kill | def Kill(self):
"""Send death pill to Gdb and forcefully kill it if that doesn't work."""
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time.sleep(0.1)
except (TimeoutError, P... | python | def Kill(self):
"""Send death pill to Gdb and forcefully kill it if that doesn't work."""
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10,685 | google/pyringe | pyringe/inferior.py | GdbProxy.Version | def Version():
"""Gets the version of gdb as a 3-tuple.
The gdb devs seem to think it's a good idea to make --version
output multiple lines of welcome text instead of just the actual version,
so we ignore everything it outputs after the first line.
Returns:
The installed version of gdb in the... | python | def Version():
"""Gets the version of gdb as a 3-tuple.
The gdb devs seem to think it's a good idea to make --version
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10,686 | google/pyringe | pyringe/inferior.py | GdbProxy._JsonDecodeDict | def _JsonDecodeDict(self, data):
"""Json object decode hook that automatically converts unicode objects."""
rv = {}
for key, value in data.iteritems():
if isinstance(key, unicode):
key = self._TryStr(key)
if isinstance(value, unicode):
value = self._TryStr(value)
elif isins... | python | def _JsonDecodeDict(self, data):
"""Json object decode hook that automatically converts unicode objects."""
rv = {}
for key, value in data.iteritems():
if isinstance(key, unicode):
key = self._TryStr(key)
if isinstance(value, unicode):
value = self._TryStr(value)
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10,687 | google/pyringe | pyringe/inferior.py | GdbProxy._Execute | def _Execute(self, funcname, *args, **kwargs):
"""Send an RPC request to the gdb-internal python.
Blocks for 3 seconds by default and returns any results.
Args:
funcname: the name of the function to call.
*args: the function's arguments.
**kwargs: Only the key 'wait_for_completion' is ins... | python | def _Execute(self, funcname, *args, **kwargs):
"""Send an RPC request to the gdb-internal python.
Blocks for 3 seconds by default and returns any results.
Args:
funcname: the name of the function to call.
*args: the function's arguments.
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10,688 | google/pyringe | pyringe/inferior.py | GdbProxy._Recv | def _Recv(self, timeout):
"""Receive output from gdb.
This reads gdb's stdout and stderr streams, returns a single line of gdb's
stdout or rethrows any exceptions thrown from within gdb as well as it can.
Args:
timeout: floating point number of seconds after which to abort.
A value of ... | python | def _Recv(self, timeout):
"""Receive output from gdb.
This reads gdb's stdout and stderr streams, returns a single line of gdb's
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timeout: floating point number of seconds after which to abort.
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10,689 | google/pyringe | pyringe/inferior.py | Inferior.needsattached | def needsattached(func):
"""Decorator to prevent commands from being used when not attached."""
@functools.wraps(func)
def wrap(self, *args, **kwargs):
if not self.attached:
raise PositionError('Not attached to any process.')
return func(self, *args, **kwargs)
return wrap | python | def needsattached(func):
"""Decorator to prevent commands from being used when not attached."""
@functools.wraps(func)
def wrap(self, *args, **kwargs):
if not self.attached:
raise PositionError('Not attached to any process.')
return func(self, *args, **kwargs)
return wrap | [
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10,690 | google/pyringe | pyringe/inferior.py | Inferior.Reinit | def Reinit(self, pid, auto_symfile_loading=True):
"""Reinitializes the object with a new pid.
Since all modes might need access to this object at any time, this object
needs to be long-lived. To make this clear in the API, this shorthand is
supplied.
Args:
pid: the pid of the target process
... | python | def Reinit(self, pid, auto_symfile_loading=True):
"""Reinitializes the object with a new pid.
Since all modes might need access to this object at any time, this object
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pid: the pid of the target process
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10,691 | google/pyringe | pyringe/plugins/inject.py | InjectPlugin.InjectString | def InjectString(self, codestring, wait_for_completion=True):
"""Try to inject python code into current thread.
Args:
codestring: Python snippet to execute in inferior. (may contain newlines)
wait_for_completion: Block until execution of snippet has completed.
"""
if self.inferior.is_runnin... | python | def InjectString(self, codestring, wait_for_completion=True):
"""Try to inject python code into current thread.
Args:
codestring: Python snippet to execute in inferior. (may contain newlines)
wait_for_completion: Block until execution of snippet has completed.
"""
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10,692 | google/pyringe | pyringe/payload/libpython.py | PyObjectPtr.field | def field(self, name):
'''
Get the gdb.Value for the given field within the PyObject, coping with
some python 2 versus python 3 differences.
Various libpython types are defined using the "PyObject_HEAD" and
"PyObject_VAR_HEAD" macros.
In Python 2, this these are defined... | python | def field(self, name):
'''
Get the gdb.Value for the given field within the PyObject, coping with
some python 2 versus python 3 differences.
Various libpython types are defined using the "PyObject_HEAD" and
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10,693 | google/pyringe | pyringe/payload/libpython.py | PyObjectPtr.write_repr | def write_repr(self, out, visited):
'''
Write a string representation of the value scraped from the inferior
process to "out", a file-like object.
'''
# Default implementation: generate a proxy value and write its repr
# However, this could involve a lot of work for compl... | python | def write_repr(self, out, visited):
'''
Write a string representation of the value scraped from the inferior
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'''
# Default implementation: generate a proxy value and write its repr
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10,694 | google/pyringe | pyringe/payload/libpython.py | PyObjectPtr.from_pyobject_ptr | def from_pyobject_ptr(cls, gdbval):
'''
Try to locate the appropriate derived class dynamically, and cast
the pointer accordingly.
'''
try:
p = PyObjectPtr(gdbval)
cls = cls.subclass_from_type(p.type())
return cls(gdbval, cast_to=cls.get_gdb_ty... | python | def from_pyobject_ptr(cls, gdbval):
'''
Try to locate the appropriate derived class dynamically, and cast
the pointer accordingly.
'''
try:
p = PyObjectPtr(gdbval)
cls = cls.subclass_from_type(p.type())
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10,695 | google/pyringe | pyringe/payload/libpython.py | HeapTypeObjectPtr.proxyval | def proxyval(self, visited):
'''
Support for new-style classes.
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'''
# Guard against infinite loops:
if self.as_address() in visited:
... | python | def proxyval(self, visited):
'''
Support for new-style classes.
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'''
# Guard against infinite loops:
if self.as_address() in visited:
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10,696 | google/pyringe | pyringe/payload/libpython.py | PyCodeObjectPtr.addr2line | def addr2line(self, addrq):
'''
Get the line number for a given bytecode offset
Analogous to PyCode_Addr2Line; translated from pseudocode in
Objects/lnotab_notes.txt
'''
co_lnotab = self.pyop_field('co_lnotab').proxyval(set())
# Initialize lineno to co_firstline... | python | def addr2line(self, addrq):
'''
Get the line number for a given bytecode offset
Analogous to PyCode_Addr2Line; translated from pseudocode in
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'''
co_lnotab = self.pyop_field('co_lnotab').proxyval(set())
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10,697 | google/pyringe | pyringe/payload/libpython.py | PyFrameObjectPtr.current_line | def current_line(self):
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return '(frame information optimized out)'
with open(self.filename(), 'r') as f:
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"of",
"the",
"current",
"source",
"line",
"as",
"a",
"string",
"with",
"a",
"trailing",
"newline",
"character"
] | 76dff5d1ac29cd5e7bf32677654a83291a15ad8a | https://github.com/google/pyringe/blob/76dff5d1ac29cd5e7bf32677654a83291a15ad8a/pyringe/payload/libpython.py#L889-L897 |
10,698 | google/pyringe | pyringe/payload/libpython.py | Frame.select | def select(self):
'''If supported, select this frame and return True; return False if unsupported
Not all builds have a gdb.Frame.select method; seems to be present on Fedora 12
onwards, but absent on Ubuntu buildbot'''
if not hasattr(self._gdbframe, 'select'):
print ('Unabl... | python | def select(self):
'''If supported, select this frame and return True; return False if unsupported
Not all builds have a gdb.Frame.select method; seems to be present on Fedora 12
onwards, but absent on Ubuntu buildbot'''
if not hasattr(self._gdbframe, 'select'):
print ('Unabl... | [
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"select",
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"self",
")",
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"hasattr",
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"self",
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"'Unable to select frame: '",
"'this build of gdb does not expose a gdb.Frame.select method'",
")",
"return",
"False",
"self",
"."... | If supported, select this frame and return True; return False if unsupported
Not all builds have a gdb.Frame.select method; seems to be present on Fedora 12
onwards, but absent on Ubuntu buildbot | [
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"supported",
"select",
"this",
"frame",
"and",
"return",
"True",
";",
"return",
"False",
"if",
"unsupported"
] | 76dff5d1ac29cd5e7bf32677654a83291a15ad8a | https://github.com/google/pyringe/blob/76dff5d1ac29cd5e7bf32677654a83291a15ad8a/pyringe/payload/libpython.py#L1173-L1183 |
10,699 | google/pyringe | pyringe/payload/libpython.py | Frame.get_index | def get_index(self):
'''Calculate index of frame, starting at 0 for the newest frame within
this thread'''
index = 0
# Go down until you reach the newest frame:
iter_frame = self
while iter_frame.newer():
index += 1
iter_frame = iter_frame.newer()
... | python | def get_index(self):
'''Calculate index of frame, starting at 0 for the newest frame within
this thread'''
index = 0
# Go down until you reach the newest frame:
iter_frame = self
while iter_frame.newer():
index += 1
iter_frame = iter_frame.newer()
... | [
"def",
"get_index",
"(",
"self",
")",
":",
"index",
"=",
"0",
"# Go down until you reach the newest frame:",
"iter_frame",
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"self",
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"(",
")",
":",
"index",
"+=",
"1",
"iter_frame",
"=",
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"(",
... | Calculate index of frame, starting at 0 for the newest frame within
this thread | [
"Calculate",
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"starting",
"at",
"0",
"for",
"the",
"newest",
"frame",
"within",
"this",
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] | 76dff5d1ac29cd5e7bf32677654a83291a15ad8a | https://github.com/google/pyringe/blob/76dff5d1ac29cd5e7bf32677654a83291a15ad8a/pyringe/payload/libpython.py#L1185-L1194 |
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