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44,511 | gwcs.wcs | to_fits |
Construct a FITS WCS ``-TAB``-based approximation to the WCS
in the form of a FITS header and a binary table extension. For the
description of the FITS WCS ``-TAB`` convention, see
"Representations of spectral coordinates in FITS" in
`Greisen, E. W. et al. A&A 446 (2) 747-771 (2006)
<https://doi.org/10.1051/0004-6361:20053818>`_ . If WCS contains
celestial frame, PC/CD formalism will be used for the celestial axes.
.. note::
SIP distortion fitting requires that the WCS object has only two
celestial axes. When WCS does not contain celestial axes,
SIP fitting parameters (``max_pix_error``, ``degree``,
``max_inv_pix_error``, ``inv_degree``, and ``projection``)
are ignored. When a WCS, in addition to celestial
frame, contains other types of axes, SIP distortion fitting is
disabled (ony linear terms are fitted for celestial frame).
Parameters
----------
bounding_box : tuple, optional
Specifies the range of acceptable values for each input axis.
The order of the axes is
`~gwcs.coordinate_frames.CoordinateFrame.axes_order`.
For two image axes ``bounding_box`` is of the form
``((xmin, xmax), (ymin, ymax))``.
max_pix_error : float, optional
Maximum allowed error over the domain of the pixel array. This
error is the equivalent pixel error that corresponds to the maximum
error in the output coordinate resulting from the fit based on
a nominal plate scale.
degree : int, iterable, None, optional
Degree of the SIP polynomial. Default value `None` indicates that
all allowed degree values (``[1...9]``) will be considered and
the lowest degree that meets accuracy requerements set by
``max_pix_error`` will be returned. Alternatively, ``degree`` can be
an iterable containing allowed values for the SIP polynomial degree.
This option is similar to default `None` but it allows caller to
restrict the range of allowed SIP degrees used for fitting.
Finally, ``degree`` can be an integer indicating the exact SIP degree
to be fit to the WCS transformation. In this case
``max_pixel_error`` is ignored.
.. note::
When WCS object has When ``degree`` is `None` and the WCS object has
max_inv_pix_error : float, optional
Maximum allowed inverse error over the domain of the pixel array
in pixel units. If None, no inverse is generated.
inv_degree : int, iterable, None, optional
Degree of the SIP polynomial. Default value `None` indicates that
all allowed degree values (``[1...9]``) will be considered and
the lowest degree that meets accuracy requerements set by
``max_pix_error`` will be returned. Alternatively, ``degree`` can be
an iterable containing allowed values for the SIP polynomial degree.
This option is similar to default `None` but it allows caller to
restrict the range of allowed SIP degrees used for fitting.
Finally, ``degree`` can be an integer indicating the exact SIP degree
to be fit to the WCS transformation. In this case
``max_inv_pixel_error`` is ignored.
npoints : int, optional
The number of points in each dimension to sample the bounding box
for use in the SIP fit. Minimum number of points is 3.
crpix : list of float, None, optional
Coordinates (1-based) of the reference point for the new FITS WCS.
When not provided, i.e., when set to `None` (default) the reference
pixel will be chosen near the center of the bounding box for axes
corresponding to the celestial frame.
projection : str, `~astropy.modeling.projections.Pix2SkyProjection`, optional
Projection to be used for the created FITS WCS. It can be specified
as a string of three characters specifying a FITS projection code
from Table 13 in
`Representations of World Coordinates in FITS <https://doi.org/10.1051/0004-6361:20021326>`_
(Paper I), Greisen, E. W., and Calabretta, M. R., A & A, 395,
1061-1075, 2002. Alternatively, it can be an instance of one of the
`astropy's Pix2Sky_* <https://docs.astropy.org/en/stable/modeling/ reference_api.html#module-astropy.modeling.projections>`_
projection models inherited from
:py:class:`~astropy.modeling.projections.Pix2SkyProjection`.
bin_ext_name : str, optional
Extension name for the `~astropy.io.fits.BinTableHDU` HDU for those
axes groups that will be converted using FITW WCS' ``-TAB``
algorith. Extension version will be determined automatically
based on the number of separable group of axes.
coord_col_name : str, optional
Field name of the coordinate array in the structured array
stored in `~astropy.io.fits.BinTableHDU` data. This corresponds to
``TTYPEi`` field in the FITS header of the binary table extension.
sampling : float, tuple, optional
The target "density" of grid nodes per pixel to be used when
creating the coordinate array for the ``-TAB`` FITS WCS convention.
It is equal to ``1/step`` where ``step`` is the distance between
grid nodes in pixels. ``sampling`` can be specified as a single
number to be used for all axes or as a `tuple` of numbers
that specify the sampling for each image axis.
verbose : bool, optional
Print progress of fits.
Returns
-------
hdr : `~astropy.io.fits.Header`
Header with WCS-TAB information associated (to be used) with image
data.
hdulist : a list of `~astropy.io.fits.BinTableHDU`
A Python list of binary table extensions containing the coordinate
array for TAB extensions; one extension per separable axes group.
Raises
------
ValueError
When ``bounding_box`` is not defined either through the input
``bounding_box`` parameter or this object's ``bounding_box``
property.
ValueError
When ``sampling`` is a `tuple` of length larger than 1 that
does not match the number of image axes.
RuntimeError
If the number of image axes (``~gwcs.WCS.pixel_n_dim``) is larger
than the number of world axes (``~gwcs.WCS.world_n_dim``).
| def to_fits(self, bounding_box=None, max_pix_error=0.25, degree=None,
max_inv_pix_error=0.25, inv_degree=None, npoints=32,
crpix=None, projection='TAN', bin_ext_name='WCS-TABLE',
coord_col_name='coordinates', sampling=1, verbose=False):
"""
Construct a FITS WCS ``-TAB``-based approximation to the WCS
in the form of a FITS header and a binary table extension. For the
description of the FITS WCS ``-TAB`` convention, see
"Representations of spectral coordinates in FITS" in
`Greisen, E. W. et al. A&A 446 (2) 747-771 (2006)
<https://doi.org/10.1051/0004-6361:20053818>`_ . If WCS contains
celestial frame, PC/CD formalism will be used for the celestial axes.
.. note::
SIP distortion fitting requires that the WCS object has only two
celestial axes. When WCS does not contain celestial axes,
SIP fitting parameters (``max_pix_error``, ``degree``,
``max_inv_pix_error``, ``inv_degree``, and ``projection``)
are ignored. When a WCS, in addition to celestial
frame, contains other types of axes, SIP distortion fitting is
disabled (ony linear terms are fitted for celestial frame).
Parameters
----------
bounding_box : tuple, optional
Specifies the range of acceptable values for each input axis.
The order of the axes is
`~gwcs.coordinate_frames.CoordinateFrame.axes_order`.
For two image axes ``bounding_box`` is of the form
``((xmin, xmax), (ymin, ymax))``.
max_pix_error : float, optional
Maximum allowed error over the domain of the pixel array. This
error is the equivalent pixel error that corresponds to the maximum
error in the output coordinate resulting from the fit based on
a nominal plate scale.
degree : int, iterable, None, optional
Degree of the SIP polynomial. Default value `None` indicates that
all allowed degree values (``[1...9]``) will be considered and
the lowest degree that meets accuracy requerements set by
``max_pix_error`` will be returned. Alternatively, ``degree`` can be
an iterable containing allowed values for the SIP polynomial degree.
This option is similar to default `None` but it allows caller to
restrict the range of allowed SIP degrees used for fitting.
Finally, ``degree`` can be an integer indicating the exact SIP degree
to be fit to the WCS transformation. In this case
``max_pixel_error`` is ignored.
.. note::
When WCS object has When ``degree`` is `None` and the WCS object has
max_inv_pix_error : float, optional
Maximum allowed inverse error over the domain of the pixel array
in pixel units. If None, no inverse is generated.
inv_degree : int, iterable, None, optional
Degree of the SIP polynomial. Default value `None` indicates that
all allowed degree values (``[1...9]``) will be considered and
the lowest degree that meets accuracy requerements set by
``max_pix_error`` will be returned. Alternatively, ``degree`` can be
an iterable containing allowed values for the SIP polynomial degree.
This option is similar to default `None` but it allows caller to
restrict the range of allowed SIP degrees used for fitting.
Finally, ``degree`` can be an integer indicating the exact SIP degree
to be fit to the WCS transformation. In this case
``max_inv_pixel_error`` is ignored.
npoints : int, optional
The number of points in each dimension to sample the bounding box
for use in the SIP fit. Minimum number of points is 3.
crpix : list of float, None, optional
Coordinates (1-based) of the reference point for the new FITS WCS.
When not provided, i.e., when set to `None` (default) the reference
pixel will be chosen near the center of the bounding box for axes
corresponding to the celestial frame.
projection : str, `~astropy.modeling.projections.Pix2SkyProjection`, optional
Projection to be used for the created FITS WCS. It can be specified
as a string of three characters specifying a FITS projection code
from Table 13 in
`Representations of World Coordinates in FITS \
<https://doi.org/10.1051/0004-6361:20021326>`_
(Paper I), Greisen, E. W., and Calabretta, M. R., A & A, 395,
1061-1075, 2002. Alternatively, it can be an instance of one of the
`astropy's Pix2Sky_* <https://docs.astropy.org/en/stable/modeling/\
reference_api.html#module-astropy.modeling.projections>`_
projection models inherited from
:py:class:`~astropy.modeling.projections.Pix2SkyProjection`.
bin_ext_name : str, optional
Extension name for the `~astropy.io.fits.BinTableHDU` HDU for those
axes groups that will be converted using FITW WCS' ``-TAB``
algorith. Extension version will be determined automatically
based on the number of separable group of axes.
coord_col_name : str, optional
Field name of the coordinate array in the structured array
stored in `~astropy.io.fits.BinTableHDU` data. This corresponds to
``TTYPEi`` field in the FITS header of the binary table extension.
sampling : float, tuple, optional
The target "density" of grid nodes per pixel to be used when
creating the coordinate array for the ``-TAB`` FITS WCS convention.
It is equal to ``1/step`` where ``step`` is the distance between
grid nodes in pixels. ``sampling`` can be specified as a single
number to be used for all axes or as a `tuple` of numbers
that specify the sampling for each image axis.
verbose : bool, optional
Print progress of fits.
Returns
-------
hdr : `~astropy.io.fits.Header`
Header with WCS-TAB information associated (to be used) with image
data.
hdulist : a list of `~astropy.io.fits.BinTableHDU`
A Python list of binary table extensions containing the coordinate
array for TAB extensions; one extension per separable axes group.
Raises
------
ValueError
When ``bounding_box`` is not defined either through the input
``bounding_box`` parameter or this object's ``bounding_box``
property.
ValueError
When ``sampling`` is a `tuple` of length larger than 1 that
does not match the number of image axes.
RuntimeError
If the number of image axes (``~gwcs.WCS.pixel_n_dim``) is larger
than the number of world axes (``~gwcs.WCS.world_n_dim``).
"""
if bounding_box is None:
if self.bounding_box is None:
raise ValueError(
"Need a valid bounding_box to compute the footprint."
)
bounding_box = self.bounding_box
else:
# validate user-supplied bounding box:
frames = self.available_frames
transform_0 = self.get_transform(frames[0], frames[1])
Bbox.validate(transform_0, bounding_box)
if self.forward_transform.n_inputs == 1:
bounding_box = [bounding_box]
if self.pixel_n_dim > self.world_n_dim:
raise RuntimeError(
"The case when the number of input axes is larger than the "
"number of output axes is not supported."
)
try:
sampling = np.broadcast_to(sampling, (self.pixel_n_dim, ))
except ValueError:
raise ValueError("Number of sampling values either must be 1 "
"or it must match the number of pixel axes.")
world_axes_groups, _, celestial_group = self._separable_groups(
detect_celestial=True
)
# Find celestial axes group and treat it separately from other axes:
if celestial_group:
# if world_axes_groups is empty, then we have only celestial axes
# and so we can allow arbitrary degree for SIP. When there are
# other axes types present, issue a warning and set 'degree' to 1
# because use of SIP when world_n_dim > 2 currently is not supported by
# astropy.wcs.WC | (self, bounding_box=None, max_pix_error=0.25, degree=None, max_inv_pix_error=0.25, inv_degree=None, npoints=32, crpix=None, projection='TAN', bin_ext_name='WCS-TABLE', coord_col_name='coordinates', sampling=1, verbose=False) | [
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|
44,512 | gwcs.wcs | to_fits_sip |
Construct a SIP-based approximation to the WCS for the axes
corresponding to the `~gwcs.coordinate_frames.CelestialFrame`
in the form of a FITS header.
The default mode in using this attempts to achieve roughly 0.25 pixel
accuracy over the whole image.
Parameters
----------
bounding_box : tuple, optional
A pair of tuples, each consisting of two numbers
Represents the range of pixel values in both dimensions
((xmin, xmax), (ymin, ymax))
max_pix_error : float, optional
Maximum allowed error over the domain of the pixel array. This
error is the equivalent pixel error that corresponds to the maximum
error in the output coordinate resulting from the fit based on
a nominal plate scale. Ignored when ``degree`` is an integer or
a list with a single degree.
degree : int, iterable, None, optional
Degree of the SIP polynomial. Default value `None` indicates that
all allowed degree values (``[1...9]``) will be considered and
the lowest degree that meets accuracy requerements set by
``max_pix_error`` will be returned. Alternatively, ``degree`` can be
an iterable containing allowed values for the SIP polynomial degree.
This option is similar to default `None` but it allows caller to
restrict the range of allowed SIP degrees used for fitting.
Finally, ``degree`` can be an integer indicating the exact SIP degree
to be fit to the WCS transformation. In this case
``max_pixel_error`` is ignored.
max_inv_pix_error : float, optional
Maximum allowed inverse error over the domain of the pixel array
in pixel units. If None, no inverse is generated. Ignored when
``degree`` is an integer or a list with a single degree.
inv_degree : int, iterable, None, optional
Degree of the SIP polynomial. Default value `None` indicates that
all allowed degree values (``[1...9]``) will be considered and
the lowest degree that meets accuracy requerements set by
``max_pix_error`` will be returned. Alternatively, ``degree`` can be
an iterable containing allowed values for the SIP polynomial degree.
This option is similar to default `None` but it allows caller to
restrict the range of allowed SIP degrees used for fitting.
Finally, ``degree`` can be an integer indicating the exact SIP degree
to be fit to the WCS transformation. In this case
``max_inv_pixel_error`` is ignored.
npoints : int, optional
The number of points in each dimension to sample the bounding box
for use in the SIP fit. Minimum number of points is 3.
crpix : list of float, None, optional
Coordinates (1-based) of the reference point for the new FITS WCS.
When not provided, i.e., when set to `None` (default) the reference
pixel will be chosen near the center of the bounding box for axes
corresponding to the celestial frame.
projection : str, `~astropy.modeling.projections.Pix2SkyProjection`, optional
Projection to be used for the created FITS WCS. It can be specified
as a string of three characters specifying a FITS projection code
from Table 13 in
`Representations of World Coordinates in FITS <https://doi.org/10.1051/0004-6361:20021326>`_
(Paper I), Greisen, E. W., and Calabretta, M. R., A & A, 395,
1061-1075, 2002. Alternatively, it can be an instance of one of the
`astropy's Pix2Sky_* <https://docs.astropy.org/en/stable/modeling/ reference_api.html#module-astropy.modeling.projections>`_
projection models inherited from
:py:class:`~astropy.modeling.projections.Pix2SkyProjection`.
verbose : bool, optional
Print progress of fits.
Returns
-------
FITS header with all SIP WCS keywords
Raises
------
ValueError
If the WCS is not at least 2D, an exception will be raised. If the
specified accuracy (both forward and inverse, both rms and maximum)
is not achieved an exception will be raised.
Notes
-----
Use of this requires a judicious choice of required accuracies.
Attempts to use higher degrees (~7 or higher) will typically fail due
to floating point problems that arise with high powers.
| def to_fits_sip(self, bounding_box=None, max_pix_error=0.25, degree=None,
max_inv_pix_error=0.25, inv_degree=None,
npoints=32, crpix=None, projection='TAN',
verbose=False):
"""
Construct a SIP-based approximation to the WCS for the axes
corresponding to the `~gwcs.coordinate_frames.CelestialFrame`
in the form of a FITS header.
The default mode in using this attempts to achieve roughly 0.25 pixel
accuracy over the whole image.
Parameters
----------
bounding_box : tuple, optional
A pair of tuples, each consisting of two numbers
Represents the range of pixel values in both dimensions
((xmin, xmax), (ymin, ymax))
max_pix_error : float, optional
Maximum allowed error over the domain of the pixel array. This
error is the equivalent pixel error that corresponds to the maximum
error in the output coordinate resulting from the fit based on
a nominal plate scale. Ignored when ``degree`` is an integer or
a list with a single degree.
degree : int, iterable, None, optional
Degree of the SIP polynomial. Default value `None` indicates that
all allowed degree values (``[1...9]``) will be considered and
the lowest degree that meets accuracy requerements set by
``max_pix_error`` will be returned. Alternatively, ``degree`` can be
an iterable containing allowed values for the SIP polynomial degree.
This option is similar to default `None` but it allows caller to
restrict the range of allowed SIP degrees used for fitting.
Finally, ``degree`` can be an integer indicating the exact SIP degree
to be fit to the WCS transformation. In this case
``max_pixel_error`` is ignored.
max_inv_pix_error : float, optional
Maximum allowed inverse error over the domain of the pixel array
in pixel units. If None, no inverse is generated. Ignored when
``degree`` is an integer or a list with a single degree.
inv_degree : int, iterable, None, optional
Degree of the SIP polynomial. Default value `None` indicates that
all allowed degree values (``[1...9]``) will be considered and
the lowest degree that meets accuracy requerements set by
``max_pix_error`` will be returned. Alternatively, ``degree`` can be
an iterable containing allowed values for the SIP polynomial degree.
This option is similar to default `None` but it allows caller to
restrict the range of allowed SIP degrees used for fitting.
Finally, ``degree`` can be an integer indicating the exact SIP degree
to be fit to the WCS transformation. In this case
``max_inv_pixel_error`` is ignored.
npoints : int, optional
The number of points in each dimension to sample the bounding box
for use in the SIP fit. Minimum number of points is 3.
crpix : list of float, None, optional
Coordinates (1-based) of the reference point for the new FITS WCS.
When not provided, i.e., when set to `None` (default) the reference
pixel will be chosen near the center of the bounding box for axes
corresponding to the celestial frame.
projection : str, `~astropy.modeling.projections.Pix2SkyProjection`, optional
Projection to be used for the created FITS WCS. It can be specified
as a string of three characters specifying a FITS projection code
from Table 13 in
`Representations of World Coordinates in FITS \
<https://doi.org/10.1051/0004-6361:20021326>`_
(Paper I), Greisen, E. W., and Calabretta, M. R., A & A, 395,
1061-1075, 2002. Alternatively, it can be an instance of one of the
`astropy's Pix2Sky_* <https://docs.astropy.org/en/stable/modeling/\
reference_api.html#module-astropy.modeling.projections>`_
projection models inherited from
:py:class:`~astropy.modeling.projections.Pix2SkyProjection`.
verbose : bool, optional
Print progress of fits.
Returns
-------
FITS header with all SIP WCS keywords
Raises
------
ValueError
If the WCS is not at least 2D, an exception will be raised. If the
specified accuracy (both forward and inverse, both rms and maximum)
is not achieved an exception will be raised.
Notes
-----
Use of this requires a judicious choice of required accuracies.
Attempts to use higher degrees (~7 or higher) will typically fail due
to floating point problems that arise with high powers.
"""
_, _, celestial_group = self._separable_groups(detect_celestial=True)
if celestial_group is None:
raise ValueError("The to_fits_sip requires an output celestial frame.")
hdr = self._to_fits_sip(
celestial_group=celestial_group,
keep_axis_position=False,
bounding_box=bounding_box,
max_pix_error=max_pix_error,
degree=degree,
max_inv_pix_error=max_inv_pix_error,
inv_degree=inv_degree,
npoints=npoints,
crpix=crpix,
projection=projection,
matrix_type='CD',
verbose=verbose
)
return hdr
| (self, bounding_box=None, max_pix_error=0.25, degree=None, max_inv_pix_error=0.25, inv_degree=None, npoints=32, crpix=None, projection='TAN', verbose=False) | [
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|
44,513 | gwcs.wcs | to_fits_tab |
Construct a FITS WCS ``-TAB``-based approximation to the WCS
in the form of a FITS header and a binary table extension. For the
description of the FITS WCS ``-TAB`` convention, see
"Representations of spectral coordinates in FITS" in
`Greisen, E. W. et al. A&A 446 (2) 747-771 (2006)
<https://doi.org/10.1051/0004-6361:20053818>`_ .
Parameters
----------
bounding_box : tuple, optional
Specifies the range of acceptable values for each input axis.
The order of the axes is
`~gwcs.coordinate_frames.CoordinateFrame.axes_order`.
For two image axes ``bounding_box`` is of the form
``((xmin, xmax), (ymin, ymax))``.
bin_ext_name : str, optional
Extension name for the `~astropy.io.fits.BinTableHDU` HDU for those
axes groups that will be converted using FITW WCS' ``-TAB``
algorith. Extension version will be determined automatically
based on the number of separable group of axes.
coord_col_name : str, optional
Field name of the coordinate array in the structured array
stored in `~astropy.io.fits.BinTableHDU` data. This corresponds to
``TTYPEi`` field in the FITS header of the binary table extension.
sampling : float, tuple, optional
The target "density" of grid nodes per pixel to be used when
creating the coordinate array for the ``-TAB`` FITS WCS convention.
It is equal to ``1/step`` where ``step`` is the distance between
grid nodes in pixels. ``sampling`` can be specified as a single
number to be used for all axes or as a `tuple` of numbers
that specify the sampling for each image axis.
Returns
-------
hdr : `~astropy.io.fits.Header`
Header with WCS-TAB information associated (to be used) with image
data.
bin_table_hdu : `~astropy.io.fits.BinTableHDU`
Binary table extension containing the coordinate array.
Raises
------
ValueError
When ``bounding_box`` is not defined either through the input
``bounding_box`` parameter or this object's ``bounding_box``
property.
ValueError
When ``sampling`` is a `tuple` of length larger than 1 that
does not match the number of image axes.
RuntimeError
If the number of image axes (``~gwcs.WCS.pixel_n_dim``) is larger
than the number of world axes (``~gwcs.WCS.world_n_dim``).
| def to_fits_tab(self, bounding_box=None, bin_ext_name='WCS-TABLE',
coord_col_name='coordinates', sampling=1):
"""
Construct a FITS WCS ``-TAB``-based approximation to the WCS
in the form of a FITS header and a binary table extension. For the
description of the FITS WCS ``-TAB`` convention, see
"Representations of spectral coordinates in FITS" in
`Greisen, E. W. et al. A&A 446 (2) 747-771 (2006)
<https://doi.org/10.1051/0004-6361:20053818>`_ .
Parameters
----------
bounding_box : tuple, optional
Specifies the range of acceptable values for each input axis.
The order of the axes is
`~gwcs.coordinate_frames.CoordinateFrame.axes_order`.
For two image axes ``bounding_box`` is of the form
``((xmin, xmax), (ymin, ymax))``.
bin_ext_name : str, optional
Extension name for the `~astropy.io.fits.BinTableHDU` HDU for those
axes groups that will be converted using FITW WCS' ``-TAB``
algorith. Extension version will be determined automatically
based on the number of separable group of axes.
coord_col_name : str, optional
Field name of the coordinate array in the structured array
stored in `~astropy.io.fits.BinTableHDU` data. This corresponds to
``TTYPEi`` field in the FITS header of the binary table extension.
sampling : float, tuple, optional
The target "density" of grid nodes per pixel to be used when
creating the coordinate array for the ``-TAB`` FITS WCS convention.
It is equal to ``1/step`` where ``step`` is the distance between
grid nodes in pixels. ``sampling`` can be specified as a single
number to be used for all axes or as a `tuple` of numbers
that specify the sampling for each image axis.
Returns
-------
hdr : `~astropy.io.fits.Header`
Header with WCS-TAB information associated (to be used) with image
data.
bin_table_hdu : `~astropy.io.fits.BinTableHDU`
Binary table extension containing the coordinate array.
Raises
------
ValueError
When ``bounding_box`` is not defined either through the input
``bounding_box`` parameter or this object's ``bounding_box``
property.
ValueError
When ``sampling`` is a `tuple` of length larger than 1 that
does not match the number of image axes.
RuntimeError
If the number of image axes (``~gwcs.WCS.pixel_n_dim``) is larger
than the number of world axes (``~gwcs.WCS.world_n_dim``).
"""
if bounding_box is None:
if self.bounding_box is None:
raise ValueError(
"Need a valid bounding_box to compute the footprint."
)
bounding_box = self.bounding_box
else:
# validate user-supplied bounding box:
frames = self.available_frames
transform_0 = self.get_transform(frames[0], frames[1])
Bbox.validate(transform_0, bounding_box)
if self.forward_transform.n_inputs == 1:
bounding_box = [bounding_box]
if self.pixel_n_dim > self.world_n_dim:
raise RuntimeError(
"The case when the number of input axes is larger than the "
"number of output axes is not supported."
)
try:
sampling = np.broadcast_to(sampling, (self.pixel_n_dim, ))
except ValueError:
raise ValueError("Number of sampling values either must be 1 "
"or it must match the number of pixel axes.")
_, world_axes = self._separable_groups(detect_celestial=False)
hdr, bin_table_hdu = self._to_fits_tab(
hdr=None,
world_axes_group=world_axes,
use_cd=False,
bounding_box=bounding_box,
bin_ext=bin_ext_name,
coord_col_name=coord_col_name,
sampling=sampling
)
return hdr, bin_table_hdu
| (self, bounding_box=None, bin_ext_name='WCS-TABLE', coord_col_name='coordinates', sampling=1) | [
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|
44,514 | gwcs.wcs | transform |
Transform positions between two frames.
Parameters
----------
from_frame : str or `~gwcs.coordinate_frames.CoordinateFrame`
Initial coordinate frame.
to_frame : str, or instance of `~gwcs.coordinate_frames.CoordinateFrame`
Coordinate frame into which to transform.
args : float or array-like
Inputs in ``from_frame``, separate inputs for each dimension.
output_with_units : bool
If ``True`` - returns a `~astropy.coordinates.SkyCoord` or
`~astropy.coordinates.SpectralCoord` object.
with_bounding_box : bool, optional
If True(default) values in the result which correspond to any of the inputs being
outside the bounding_box are set to ``fill_value``.
fill_value : float, optional
Output value for inputs outside the bounding_box (default is np.nan).
| def transform(self, from_frame, to_frame, *args, **kwargs):
"""
Transform positions between two frames.
Parameters
----------
from_frame : str or `~gwcs.coordinate_frames.CoordinateFrame`
Initial coordinate frame.
to_frame : str, or instance of `~gwcs.coordinate_frames.CoordinateFrame`
Coordinate frame into which to transform.
args : float or array-like
Inputs in ``from_frame``, separate inputs for each dimension.
output_with_units : bool
If ``True`` - returns a `~astropy.coordinates.SkyCoord` or
`~astropy.coordinates.SpectralCoord` object.
with_bounding_box : bool, optional
If True(default) values in the result which correspond to any of the inputs being
outside the bounding_box are set to ``fill_value``.
fill_value : float, optional
Output value for inputs outside the bounding_box (default is np.nan).
"""
transform = self.get_transform(from_frame, to_frame)
if not utils.isnumerical(args[0]):
inp_frame = getattr(self, from_frame)
args = inp_frame.coordinate_to_quantity(*args)
if not transform.uses_quantity:
args = utils.get_values(inp_frame.unit, *args)
with_units = kwargs.pop("with_units", False)
if 'with_bounding_box' not in kwargs:
kwargs['with_bounding_box'] = True
if 'fill_value' not in kwargs:
kwargs['fill_value'] = np.nan
result = transform(*args, **kwargs)
if with_units:
to_frame_name, to_frame_obj = self._get_frame_name(to_frame)
if to_frame_obj is not None:
if to_frame_obj.naxes == 1:
result = to_frame_obj.coordinates(result)
else:
result = to_frame_obj.coordinates(*result)
else:
raise TypeError("Coordinate objects could not be created because"
"frame {0} is not defined.".format(to_frame_name))
return result
| (self, from_frame, to_frame, *args, **kwargs) | [
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|
44,515 | gwcs.api | world_to_array_index |
Convert world coordinates (represented by Astropy objects) to array
indices.
| def world_to_array_index(self, *world_objects):
"""
Convert world coordinates (represented by Astropy objects) to array
indices.
"""
result = self.invert(*world_objects, with_units=True)[::-1]
return tuple([utils._toindex(r) for r in result])
| (self, *world_objects) | [
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|
44,516 | gwcs.api | world_to_array_index_values |
Convert world coordinates to array indices.
This is the same as `~BaseLowLevelWCS.world_to_pixel_values` except that
the indices should be returned in ``(i, j)`` order, where for an image
``i`` is the row and ``j`` is the column (i.e. the opposite order to
`~BaseLowLevelWCS.pixel_to_world_values`). The indices should be
returned as rounded integers.
| def world_to_array_index_values(self, *world_arrays):
"""
Convert world coordinates to array indices.
This is the same as `~BaseLowLevelWCS.world_to_pixel_values` except that
the indices should be returned in ``(i, j)`` order, where for an image
``i`` is the row and ``j`` is the column (i.e. the opposite order to
`~BaseLowLevelWCS.pixel_to_world_values`). The indices should be
returned as rounded integers.
"""
result = self.world_to_pixel_values(*world_arrays)
if self.pixel_n_dim != 1:
result = result[::-1]
return result
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|
44,517 | gwcs.api | world_to_pixel |
Convert world coordinates to pixel values.
| def world_to_pixel(self, *world_objects):
"""
Convert world coordinates to pixel values.
"""
result = self.invert(*world_objects, with_units=True)
if self.input_frame.naxes > 1:
first_res = result[0]
if not utils.isnumerical(first_res):
result = [i.value for i in result]
else:
if not utils.isnumerical(result):
result = result.value
return result
| (self, *world_objects) | [
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|
44,518 | gwcs.api | world_to_pixel_values |
Convert world coordinates to pixel coordinates.
This method takes ``world_n_dim`` scalars or arrays as input in units
given by ``world_axis_units``. Returns ``pixel_n_dim`` scalars or
arrays. Note that pixel coordinates are assumed to be 0 at the center of
the first pixel in each dimension. If a world coordinate does not have a
matching pixel coordinate, NaN can be returned. The coordinates should
be returned in the ``(x, y)`` order, where for an image, ``x`` is the
horizontal coordinate and ``y`` is the vertical coordinate.
| def world_to_pixel_values(self, *world_arrays):
"""
Convert world coordinates to pixel coordinates.
This method takes ``world_n_dim`` scalars or arrays as input in units
given by ``world_axis_units``. Returns ``pixel_n_dim`` scalars or
arrays. Note that pixel coordinates are assumed to be 0 at the center of
the first pixel in each dimension. If a world coordinate does not have a
matching pixel coordinate, NaN can be returned. The coordinates should
be returned in the ``(x, y)`` order, where for an image, ``x`` is the
horizontal coordinate and ``y`` is the vertical coordinate.
"""
world_arrays = self._add_units_input(world_arrays, self.backward_transform, self.output_frame)
result = self.invert(*world_arrays, with_units=False)
return self._remove_quantity_output(result, self.input_frame)
| (self, *world_arrays) | [
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|
44,521 | gwcs.wcstools | grid_from_bounding_box |
Create a grid of input points from the WCS bounding_box.
Note: If ``bbox`` is a tuple describing the range of an axis in ``bounding_box``,
``x.5`` is considered part of the next pixel in ``bbox[0]``
and part of the previous pixel in ``bbox[1]``. In this way if
``bbox`` describes the edges of an image the indexing includes
only pixels within the image.
Parameters
----------
bounding_box : tuple
The bounding_box of a WCS object, `~gwcs.wcs.WCS.bounding_box`.
step : scalar or tuple
Step size for grid in each dimension. Scalar applies to all dimensions.
center : bool
The bounding_box is in order of X, Y [, Z] and the output will be in the
same order.
Examples
--------
>>> bb = ((-1, 2.9), (6, 7.5))
>>> grid_from_bounding_box(bb, step=(1, .5), center=False)
array([[[-1. , 0. , 1. , 2. , 3. ],
[-1. , 0. , 1. , 2. , 3. ],
[-1. , 0. , 1. , 2. , 3. ],
[-1. , 0. , 1. , 2. , 3. ]],
[[ 6. , 6. , 6. , 6. , 6. ],
[ 6.5, 6.5, 6.5, 6.5, 6.5],
[ 7. , 7. , 7. , 7. , 7. ],
[ 7.5, 7.5, 7.5, 7.5, 7.5]]])
>>> bb = ((-1, 2.9), (6, 7.5))
>>> grid_from_bounding_box(bb)
array([[[-1., 0., 1., 2., 3.],
[-1., 0., 1., 2., 3.]],
[[ 6., 6., 6., 6., 6.],
[ 7., 7., 7., 7., 7.]]])
Returns
-------
x, y [, z]: ndarray
Grid of points.
| def grid_from_bounding_box(bounding_box, step=1, center=True):
"""
Create a grid of input points from the WCS bounding_box.
Note: If ``bbox`` is a tuple describing the range of an axis in ``bounding_box``,
``x.5`` is considered part of the next pixel in ``bbox[0]``
and part of the previous pixel in ``bbox[1]``. In this way if
``bbox`` describes the edges of an image the indexing includes
only pixels within the image.
Parameters
----------
bounding_box : tuple
The bounding_box of a WCS object, `~gwcs.wcs.WCS.bounding_box`.
step : scalar or tuple
Step size for grid in each dimension. Scalar applies to all dimensions.
center : bool
The bounding_box is in order of X, Y [, Z] and the output will be in the
same order.
Examples
--------
>>> bb = ((-1, 2.9), (6, 7.5))
>>> grid_from_bounding_box(bb, step=(1, .5), center=False)
array([[[-1. , 0. , 1. , 2. , 3. ],
[-1. , 0. , 1. , 2. , 3. ],
[-1. , 0. , 1. , 2. , 3. ],
[-1. , 0. , 1. , 2. , 3. ]],
[[ 6. , 6. , 6. , 6. , 6. ],
[ 6.5, 6.5, 6.5, 6.5, 6.5],
[ 7. , 7. , 7. , 7. , 7. ],
[ 7.5, 7.5, 7.5, 7.5, 7.5]]])
>>> bb = ((-1, 2.9), (6, 7.5))
>>> grid_from_bounding_box(bb)
array([[[-1., 0., 1., 2., 3.],
[-1., 0., 1., 2., 3.]],
[[ 6., 6., 6., 6., 6.],
[ 7., 7., 7., 7., 7.]]])
Returns
-------
x, y [, z]: ndarray
Grid of points.
"""
def _bbox_to_pixel(bbox):
return (np.floor(bbox[0] + 0.5), np.ceil(bbox[1] - 0.5))
# 1D case
if np.isscalar(bounding_box[0]):
nd = 1
bounding_box = (bounding_box, )
else:
nd = len(bounding_box)
if center:
bb = tuple([_bbox_to_pixel(bb) for bb in bounding_box])
else:
bb = bounding_box
step = np.atleast_1d(step)
if nd > 1 and len(step) == 1:
step = np.repeat(step, nd)
if len(step) != len(bb):
raise ValueError('`step` must be a scalar, or tuple with length '
'matching `bounding_box`')
slices = []
for d, s in zip(bb, step):
slices.append(slice(d[0], d[1] + s, s))
grid = np.mgrid[slices[::-1]][::-1]
if nd == 1:
return grid[0]
return grid
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|
44,527 | gwcs.wcstools | wcs_from_fiducial |
Create a WCS object from a fiducial point in a coordinate frame.
If an additional transform is supplied it is prepended to the projection.
Parameters
----------
fiducial : `~astropy.coordinates.SkyCoord` or tuple of float
One of:
A location on the sky in some standard coordinate system.
A Quantity with spectral units.
A list of the above.
coordinate_frame : ~gwcs.coordinate_frames.CoordinateFrame`
The output coordinate frame.
If fiducial is not an instance of `~astropy.coordinates.SkyCoord`,
``coordinate_frame`` is required.
projection : `~astropy.modeling.projections.Projection`
Projection instance - required if there is a celestial component in
the fiducial.
transform : `~astropy.modeling.Model` (optional)
An optional tranform to be prepended to the transform constructed by
the fiducial point. The number of outputs of this transform must equal
the number of axes in the coordinate frame.
name : str
Name of this WCS.
bounding_box : tuple
The bounding box over which the WCS is valid.
It is a tuple of tuples of size 2 where each tuple
represents a range of (low, high) values. The ``bounding_box`` is in the order of
the axes, `~gwcs.coordinate_frames.CoordinateFrame.axes_order`.
For two inputs and axes_order(0, 1) the bounding box is ((xlow, xhigh), (ylow, yhigh)).
input_frame : ~gwcs.coordinate_frames.CoordinateFrame`
The input coordinate frame.
| def wcs_from_fiducial(fiducial, coordinate_frame=None, projection=None,
transform=None, name='', bounding_box=None, input_frame=None):
"""
Create a WCS object from a fiducial point in a coordinate frame.
If an additional transform is supplied it is prepended to the projection.
Parameters
----------
fiducial : `~astropy.coordinates.SkyCoord` or tuple of float
One of:
A location on the sky in some standard coordinate system.
A Quantity with spectral units.
A list of the above.
coordinate_frame : ~gwcs.coordinate_frames.CoordinateFrame`
The output coordinate frame.
If fiducial is not an instance of `~astropy.coordinates.SkyCoord`,
``coordinate_frame`` is required.
projection : `~astropy.modeling.projections.Projection`
Projection instance - required if there is a celestial component in
the fiducial.
transform : `~astropy.modeling.Model` (optional)
An optional tranform to be prepended to the transform constructed by
the fiducial point. The number of outputs of this transform must equal
the number of axes in the coordinate frame.
name : str
Name of this WCS.
bounding_box : tuple
The bounding box over which the WCS is valid.
It is a tuple of tuples of size 2 where each tuple
represents a range of (low, high) values. The ``bounding_box`` is in the order of
the axes, `~gwcs.coordinate_frames.CoordinateFrame.axes_order`.
For two inputs and axes_order(0, 1) the bounding box is ((xlow, xhigh), (ylow, yhigh)).
input_frame : ~gwcs.coordinate_frames.CoordinateFrame`
The input coordinate frame.
"""
from .wcs import WCS
if transform is not None:
if not isinstance(transform, Model):
raise UnsupportedTransformError("Expected transform to be an instance"
"of astropy.modeling.Model")
# transform_outputs = transform.n_outputs
if isinstance(fiducial, coord.SkyCoord):
coordinate_frame = CelestialFrame(reference_frame=fiducial.frame,
unit=(fiducial.spherical.lon.unit,
fiducial.spherical.lat.unit))
fiducial_transform = _sky_transform(fiducial, projection)
elif isinstance(coordinate_frame, CompositeFrame):
trans_from_fiducial = []
for item in coordinate_frame.frames:
ind = coordinate_frame.frames.index(item)
try:
model = frame2transform[item.__class__](fiducial[ind], projection=projection)
except KeyError:
raise TypeError("Coordinate frame {0} is not supported".format(item))
trans_from_fiducial.append(model)
fiducial_transform = functools.reduce(lambda x, y: x & y,
[tr for tr in trans_from_fiducial])
else:
# The case of one coordinate frame with more than 1 axes.
try:
fiducial_transform = frame2transform[coordinate_frame.__class__](fiducial,
projection=projection)
except KeyError:
raise TypeError("Coordinate frame {0} is not supported".format(coordinate_frame))
if transform is not None:
forward_transform = transform | fiducial_transform
else:
forward_transform = fiducial_transform
if bounding_box is not None:
if len(bounding_box) != forward_transform.n_outputs:
raise ValueError("Expected the number of items in 'bounding_box' to be equal to the "
"number of outputs of the forawrd transform.")
forward_transform.bounding_box = bounding_box[::-1]
if input_frame is None:
input_frame = 'detector'
return WCS(output_frame=coordinate_frame, input_frame=input_frame,
forward_transform=forward_transform, name=name)
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|
44,528 | gwcs.wcstools | wcs_from_points |
Given two matching sets of coordinates on detector and sky, compute the WCS.
Notes
-----
This function implements the following algorithm:
``world_coords`` are transformed to a projection plane using the specified
projection. A polynomial fits ``xy`` and the projected coordinates.
The fitted polynomials and the projection transforms are combined into a
tranform from detector to sky. The input coordinate frame is set to
``detector``. The output coordinate frame is initialized based on the frame
in the fiducial.
Parameters
----------
xy : tuple of 2 ndarrays
Points in the input cooridnate frame - x, y inputs.
world_coords : `~astropy.coordinates.SkyCoord`
Points in the output coordinate frame.
The order matches the order of ``xy``.
proj_point : `~astropy.coordinates.SkyCoord`
A fiducial point in the output coordinate frame. If set to 'center'
(default), the geometric center of input world
coordinates will be used as the projection point. To specify an exact
point for the projection, a Skycoord object with a coordinate pair can
be passed in.
projection : `~astropy.modeling.projections.Projection`
A projection type. One of the projections in
`~astropy.modeling.projections.projcodes`. Defaults to TAN projection
(`astropy.modeling.projections.Sky2Pix_TAN`).
poly_degree : int
Degree of polynomial model to be fit to data. Defaults to 4.
polynomial_type : str
one of "polynomial", "chebyshev", "legendre". Defaults to "polynomial".
Returns
-------
wcsobj : `~gwcs.wcs.WCS`
a WCS object for this observation.
| def wcs_from_points(xy, world_coords, proj_point='center',
projection=projections.Sky2Pix_TAN(), poly_degree=4,
polynomial_type='polynomial'):
"""
Given two matching sets of coordinates on detector and sky, compute the WCS.
Notes
-----
This function implements the following algorithm:
``world_coords`` are transformed to a projection plane using the specified
projection. A polynomial fits ``xy`` and the projected coordinates.
The fitted polynomials and the projection transforms are combined into a
tranform from detector to sky. The input coordinate frame is set to
``detector``. The output coordinate frame is initialized based on the frame
in the fiducial.
Parameters
----------
xy : tuple of 2 ndarrays
Points in the input cooridnate frame - x, y inputs.
world_coords : `~astropy.coordinates.SkyCoord`
Points in the output coordinate frame.
The order matches the order of ``xy``.
proj_point : `~astropy.coordinates.SkyCoord`
A fiducial point in the output coordinate frame. If set to 'center'
(default), the geometric center of input world
coordinates will be used as the projection point. To specify an exact
point for the projection, a Skycoord object with a coordinate pair can
be passed in.
projection : `~astropy.modeling.projections.Projection`
A projection type. One of the projections in
`~astropy.modeling.projections.projcodes`. Defaults to TAN projection
(`astropy.modeling.projections.Sky2Pix_TAN`).
poly_degree : int
Degree of polynomial model to be fit to data. Defaults to 4.
polynomial_type : str
one of "polynomial", "chebyshev", "legendre". Defaults to "polynomial".
Returns
-------
wcsobj : `~gwcs.wcs.WCS`
a WCS object for this observation.
"""
from .wcs import WCS
supported_poly_types = {"polynomial": models.Polynomial2D,
"chebyshev": models.Chebyshev2D,
"legendre": models.Legendre2D
}
x, y = xy
if not isinstance(world_coords, coord.SkyCoord):
raise TypeError('`world_coords` must be an `~astropy.coordinates.SkyCoord`')
try:
lon, lat = world_coords.data.lon.deg, world_coords.data.lat.deg
except AttributeError:
unit_sph = world_coords.unit_spherical
lon, lat = unit_sph.lon.deg, unit_sph.lat.deg
if isinstance(proj_point, coord.SkyCoord):
assert proj_point.size == 1
proj_point.transform_to(world_coords)
crval = (proj_point.data.lon, proj_point.data.lat)
frame = proj_point.frame
elif proj_point == 'center': # use center of input points
sc1 = coord.SkyCoord(lon.min()*u.deg, lat.max()*u.deg)
sc2 = coord.SkyCoord(lon.max()*u.deg, lat.min()*u.deg)
pa = sc1.position_angle(sc2)
sep = sc1.separation(sc2)
midpoint_sc = sc1.directional_offset_by(pa, sep/2)
crval = (midpoint_sc.data.lon, midpoint_sc.data.lat)
frame = sc1.frame
else:
raise ValueError("`proj_point` must be set to 'center', or an" +
"`~astropy.coordinates.SkyCoord` object with " +
"a pair of points.")
if not isinstance(projection, projections.Projection):
raise UnsupportedProjectionError("Unsupported projection code {0}".format(projection))
if polynomial_type not in supported_poly_types.keys():
raise ValueError("Unsupported polynomial_type: {}. "
"Only one of {} is supported.".format(polynomial_type,
supported_poly_types.keys()))
skyrot = models.RotateCelestial2Native(crval[0], crval[1], 180*u.deg)
trans = (skyrot | projection)
projection_x, projection_y = trans(lon, lat)
poly = supported_poly_types[polynomial_type](poly_degree)
fitter = fitting.LevMarLSQFitter()
with warnings.catch_warnings():
warnings.simplefilter("ignore")
poly_x = fitter(poly, x, y, projection_x)
poly_y = fitter(poly, x, y, projection_y)
distortion = models.Mapping((0, 1, 0, 1)) | poly_x & poly_y
poly_x_inverse = fitter(poly, projection_x, projection_y, x)
poly_y_inverse = fitter(poly, projection_x, projection_y, y)
distortion.inverse = models.Mapping((0, 1, 0, 1)) | poly_x_inverse & poly_y_inverse
transform = distortion | projection.inverse | skyrot.inverse
skyframe = CelestialFrame(reference_frame=frame)
detector = Frame2D(name="detector")
pipeline = [(detector, transform),
(skyframe, None)]
return WCS(pipeline)
| (xy, world_coords, proj_point='center', projection=<Sky2Pix_Gnomonic()>, poly_degree=4, polynomial_type='polynomial') | [
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|
44,530 | sock | AbstractPwnlibTubes | null | class AbstractPwnlibTubes(object):
def recvall(self, *args, **kwargs):
return self.read_all(*args, **kwargs)
def recvline(self, *args, **kwargs):
return self.read_line(*args, **kwargs)
def recvuntil(self, *args, **kwargs):
return self.read_until(*args, **kwargs)
def recvregex(self, *args, **kwargs):
return self.read_until_re(*args, **kwargs)
def sendline(self, *args, **kwargs):
return self.send_line(*args, **kwargs)
def readall(self, *args, **kwargs):
return self.recvall(*args, **kwargs)
def readline(self, *args, **kwargs):
return self.recvline(*args, **kwargs)
def readuntil(self, *args, **kwargs):
return self.recvuntil(*args, **kwargs)
def readregex(self, *args, **kwargs):
return self.recvregex(*args, **kwargs)
def interactive(self, *args, **kwargs):
return self.interact(*args, **kwargs)
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|
44,531 | sock | interactive | null | def interactive(self, *args, **kwargs):
return self.interact(*args, **kwargs)
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|
44,532 | sock | readall | null | def readall(self, *args, **kwargs):
return self.recvall(*args, **kwargs)
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|
44,533 | sock | readline | null | def readline(self, *args, **kwargs):
return self.recvline(*args, **kwargs)
| (self, *args, **kwargs) | [
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|
44,534 | sock | readregex | null | def readregex(self, *args, **kwargs):
return self.recvregex(*args, **kwargs)
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|
44,535 | sock | readuntil | null | def readuntil(self, *args, **kwargs):
return self.recvuntil(*args, **kwargs)
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|
44,536 | sock | recvall | null | def recvall(self, *args, **kwargs):
return self.read_all(*args, **kwargs)
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|
44,537 | sock | recvline | null | def recvline(self, *args, **kwargs):
return self.read_line(*args, **kwargs)
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|
44,538 | sock | recvregex | null | def recvregex(self, *args, **kwargs):
return self.read_until_re(*args, **kwargs)
| (self, *args, **kwargs) | [
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|
44,539 | sock | recvuntil | null | def recvuntil(self, *args, **kwargs):
return self.read_until(*args, **kwargs)
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|
44,540 | sock | sendline | null | def sendline(self, *args, **kwargs):
return self.send_line(*args, **kwargs)
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|
44,541 | sock | AbstractSock |
SomeSock("127.0.0.1", 3123, timeout=15)
- timeout should be given using explicit keyword
| class AbstractSock(object):
"""
SomeSock("127.0.0.1", 3123, timeout=15)
- timeout should be given using explicit keyword
"""
SOCKET_FAMILY = NotImplemented
SOCKET_TYPE = NotImplemented
RECV_SIZE = 4096
def __init__(self, *addr, **timeout_dict):
self.addr = parse_addr(*addr)
# python2 does not allow (*args, timeout=None) :(
self.timeout = float(timeout_dict.pop("timeout", DEFAULT_TIMEOUT))
if timeout_dict:
raise TypeError("Only timeout should be given through keyword args")
self.buf = b""
self.eof = False
self._init_sock()
self._connect()
return
@classmethod
def from_socket(cls, sock, timeout=None):
self = object.__new__(cls)
self.addr = sock.getpeername()
self.sock = sock
assert self.SOCKET_TYPE == sock.type
if timeout is not None:
self.timeout = float(timeout)
self.sock.settimeout(self.timeout)
else:
self.timeout = self.sock.gettimeout()
self.buf = b""
self.eof = False
return self
def _init_sock(self):
self.sock = socket.socket(self.SOCKET_FAMILY, self.SOCKET_TYPE)
self.sock.settimeout(self.timeout)
def _connect(self):
return NotImplemented
def recv(self):
return NotImplemented
def send(self):
return NotImplemented
def send_line(self, line):
return self.send(Bytes(line) + b"\n")
def read_line(self, timeout=None):
return self.read_until(b"\n", timeout=timeout)
def read_one(self, timeout=None):
"""
Read something from socket
timeout = -1 - wait until something new in socket
timeout = 0 - return cached buffer + socket buffer immediately
timeout = N - wait N seconds until something new in socket, else raise TimeoutError
"""
self._fill_one(timeout)
if not self.buf and timeout != 0:
raise EOFError("Connection closed")
res = self.buf
self.buf = b""
return res
def read_all(self, timeout=None):
"""
Read everything from socket (the other side should close socket before timeout)
"""
self.read_cond(lambda x: x.eof, timeout)
res = self.buf
self.buf = b""
return res
def skip_until(self, s, timeout=None):
"""
Skip everything until first occurence of string @s, stop before occurence.
Return nothing.
"""
s = Bytes(s)
self.read_cond(lambda x: s in x.buf, timeout)
start = self.buf.find(s)
self.buf = self.buf[start:]
return
def skip_until_re(self, r, flags=0, timeout=None):
"""
Skip everything until first match of regexp @r, stop before match.
Return match.
"""
r = Bytes(r)
match = self.read_cond(
lambda x: re.search(r, x.buf, flags=flags), timeout)
self.buf = self.buf[match.start():]
return match if len(match.groups()) > 1 else match.group(len(match.groups()))
def read_until(self, s, timeout=None):
"""
Read everything until first occurence of string @s, stop after occurence.
Return everything before @s, and @s.
"""
s = Bytes(s)
self.read_cond(lambda x: s in x.buf, timeout)
end = self.buf.find(s) + len(s)
res = self.buf[:end]
self.buf = self.buf[end:]
return res
def read_until_re(self, r, flags=0, timeout=None):
"""
Read everything until first match of regexp @r, stop after match.
Return match.
Note: if you need the data before match, you can make group (.*?) for that:
r1 = r"(\d) coins"
r2 = r"(.*?)(\d coins)"
"""
r = Bytes(r)
match = self.read_cond(lambda x: re.search(r, x.buf, flags=flags), timeout)
self.buf = self.buf[match.end():]
return match if len(match.groups()) > 1 else match.group(len(match.groups()))
def read_nbytes(self, n, timeout=None):
self.read_cond(lambda x: len(x.buf) >= n, timeout)
self.buf, res = self.buf[n:], self.buf[:n]
return res
def read_cond(self, cond, timeout=None):
"""
Read bytes while @cond(self) is False. Return @cond return.
self.buf should be analyzed/cropped by caller, if needed
(this is rather low-level function, helper)
"""
time_start = time()
remaining = timeout
if timeout is None:
timeout = self.timeout
if self.eof and not self.buf:
raise EOFError("Connection closed")
res = cond(self)
while not res:
self._fill_one(remaining)
res = cond(self)
if res:
break
if self.eof:
raise EOFError("Connection closed")
if timeout == -1:
remaining = -1
elif timeout == 0:
raise Timeout("read_cond timeout")
else:
remaining = time_start + timeout - time()
if remaining <= 0:
raise Timeout("read_cond timeout")
return res
def _fill_one(self, timeout=None):
"""Read something from socket.
timeout = -1 - blocking until read
timeout = 0 - non-blocking
timeout = N - blocking until read or timeout
"""
if timeout is None:
timeout = self.timeout
if timeout == 0:
self.sock.setblocking(False)
try:
self.buf += self.recv(self.RECV_SIZE)
except SocketError:
# WHAT?
pass
return
if timeout == -1:
self.sock.settimeout(None) # blocking, infinity timeout
else:
self.sock.setblocking(True) # it's overriden by settimeout, but for clarity
self.sock.settimeout(timeout)
buf = self.recv(self.RECV_SIZE)
self.eof = (not buf)
self.buf += buf
return
@property
def socket(self):
return self.sock
@property
def fileno(self):
return self.sock.fileno()
def write(self, s):
return self.send(s)
def shut_wr(self):
self.sock.shutdown(socket.SHUT_WR)
def shut_rd(self):
self.sock.shutdown(socket.SHUT_RD)
def close(self):
return self.sock.close()
def __del__(self):
self.sock.close()
def interact_telnet(self):
sys.stdout.buffer.write(self.buf)
self.buf = b""
t = telnetlib.Telnet()
t.sock = self.sock
return t.interact()
def interact(self):
# copied from Telnetlib with minor fixes
import selectors
_TelnetSelector = selectors.SelectSelector
sys.stdout.buffer.write(self.buf)
self.buf = b""
with _TelnetSelector() as selector:
selector.register(self.sock, selectors.EVENT_READ)
selector.register(sys.stdin, selectors.EVENT_READ)
while True:
for key, events in selector.select():
if key.fileobj is self.sock:
try:
text = self.read_one()
except EOFError:
print('*** Connection closed by remote host ***')
return
if text:
sys.stdout.buffer.write(text)
sys.stdout.flush()
elif key.fileobj is sys.stdin:
line = sys.stdin.readline()
if not line:
return
self.send(line)
| (*addr, **timeout_dict) | [
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|
44,542 | sock | __del__ | null | def __del__(self):
self.sock.close()
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|
44,543 | sock | __init__ | null | def __init__(self, *addr, **timeout_dict):
self.addr = parse_addr(*addr)
# python2 does not allow (*args, timeout=None) :(
self.timeout = float(timeout_dict.pop("timeout", DEFAULT_TIMEOUT))
if timeout_dict:
raise TypeError("Only timeout should be given through keyword args")
self.buf = b""
self.eof = False
self._init_sock()
self._connect()
return
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|
44,544 | sock | _connect | null | def _connect(self):
return NotImplemented
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|
44,545 | sock | _fill_one | Read something from socket.
timeout = -1 - blocking until read
timeout = 0 - non-blocking
timeout = N - blocking until read or timeout
| def _fill_one(self, timeout=None):
"""Read something from socket.
timeout = -1 - blocking until read
timeout = 0 - non-blocking
timeout = N - blocking until read or timeout
"""
if timeout is None:
timeout = self.timeout
if timeout == 0:
self.sock.setblocking(False)
try:
self.buf += self.recv(self.RECV_SIZE)
except SocketError:
# WHAT?
pass
return
if timeout == -1:
self.sock.settimeout(None) # blocking, infinity timeout
else:
self.sock.setblocking(True) # it's overriden by settimeout, but for clarity
self.sock.settimeout(timeout)
buf = self.recv(self.RECV_SIZE)
self.eof = (not buf)
self.buf += buf
return
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|
44,546 | sock | _init_sock | null | def _init_sock(self):
self.sock = socket.socket(self.SOCKET_FAMILY, self.SOCKET_TYPE)
self.sock.settimeout(self.timeout)
| (self) | [
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|
44,547 | sock | close | null | def close(self):
return self.sock.close()
| (self) | [
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|
44,548 | sock | interact | null | def interact(self):
# copied from Telnetlib with minor fixes
import selectors
_TelnetSelector = selectors.SelectSelector
sys.stdout.buffer.write(self.buf)
self.buf = b""
with _TelnetSelector() as selector:
selector.register(self.sock, selectors.EVENT_READ)
selector.register(sys.stdin, selectors.EVENT_READ)
while True:
for key, events in selector.select():
if key.fileobj is self.sock:
try:
text = self.read_one()
except EOFError:
print('*** Connection closed by remote host ***')
return
if text:
sys.stdout.buffer.write(text)
sys.stdout.flush()
elif key.fileobj is sys.stdin:
line = sys.stdin.readline()
if not line:
return
self.send(line)
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|
44,549 | sock | interact_telnet | null | def interact_telnet(self):
sys.stdout.buffer.write(self.buf)
self.buf = b""
t = telnetlib.Telnet()
t.sock = self.sock
return t.interact()
| (self) | [
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|
44,550 | sock | read_all |
Read everything from socket (the other side should close socket before timeout)
| def read_all(self, timeout=None):
"""
Read everything from socket (the other side should close socket before timeout)
"""
self.read_cond(lambda x: x.eof, timeout)
res = self.buf
self.buf = b""
return res
| (self, timeout=None) | [
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|
44,551 | sock | read_cond |
Read bytes while @cond(self) is False. Return @cond return.
self.buf should be analyzed/cropped by caller, if needed
(this is rather low-level function, helper)
| def read_cond(self, cond, timeout=None):
"""
Read bytes while @cond(self) is False. Return @cond return.
self.buf should be analyzed/cropped by caller, if needed
(this is rather low-level function, helper)
"""
time_start = time()
remaining = timeout
if timeout is None:
timeout = self.timeout
if self.eof and not self.buf:
raise EOFError("Connection closed")
res = cond(self)
while not res:
self._fill_one(remaining)
res = cond(self)
if res:
break
if self.eof:
raise EOFError("Connection closed")
if timeout == -1:
remaining = -1
elif timeout == 0:
raise Timeout("read_cond timeout")
else:
remaining = time_start + timeout - time()
if remaining <= 0:
raise Timeout("read_cond timeout")
return res
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|
44,552 | sock | read_line | null | def read_line(self, timeout=None):
return self.read_until(b"\n", timeout=timeout)
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|
44,553 | sock | read_nbytes | null | def read_nbytes(self, n, timeout=None):
self.read_cond(lambda x: len(x.buf) >= n, timeout)
self.buf, res = self.buf[n:], self.buf[:n]
return res
| (self, n, timeout=None) | [
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|
44,554 | sock | read_one |
Read something from socket
timeout = -1 - wait until something new in socket
timeout = 0 - return cached buffer + socket buffer immediately
timeout = N - wait N seconds until something new in socket, else raise TimeoutError
| def read_one(self, timeout=None):
"""
Read something from socket
timeout = -1 - wait until something new in socket
timeout = 0 - return cached buffer + socket buffer immediately
timeout = N - wait N seconds until something new in socket, else raise TimeoutError
"""
self._fill_one(timeout)
if not self.buf and timeout != 0:
raise EOFError("Connection closed")
res = self.buf
self.buf = b""
return res
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|
44,555 | sock | read_until |
Read everything until first occurence of string @s, stop after occurence.
Return everything before @s, and @s.
| def read_until(self, s, timeout=None):
"""
Read everything until first occurence of string @s, stop after occurence.
Return everything before @s, and @s.
"""
s = Bytes(s)
self.read_cond(lambda x: s in x.buf, timeout)
end = self.buf.find(s) + len(s)
res = self.buf[:end]
self.buf = self.buf[end:]
return res
| (self, s, timeout=None) | [
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|
44,556 | sock | read_until_re |
Read everything until first match of regexp @r, stop after match.
Return match.
Note: if you need the data before match, you can make group (.*?) for that:
r1 = r"(\d) coins"
r2 = r"(.*?)(\d coins)"
| def read_until_re(self, r, flags=0, timeout=None):
"""
Read everything until first match of regexp @r, stop after match.
Return match.
Note: if you need the data before match, you can make group (.*?) for that:
r1 = r"(\d) coins"
r2 = r"(.*?)(\d coins)"
"""
r = Bytes(r)
match = self.read_cond(lambda x: re.search(r, x.buf, flags=flags), timeout)
self.buf = self.buf[match.end():]
return match if len(match.groups()) > 1 else match.group(len(match.groups()))
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|
44,557 | sock | recv | null | def recv(self):
return NotImplemented
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|
44,558 | sock | send | null | def send(self):
return NotImplemented
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|
44,559 | sock | send_line | null | def send_line(self, line):
return self.send(Bytes(line) + b"\n")
| (self, line) | [
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|
44,560 | sock | shut_rd | null | def shut_rd(self):
self.sock.shutdown(socket.SHUT_RD)
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|
44,561 | sock | shut_wr | null | def shut_wr(self):
self.sock.shutdown(socket.SHUT_WR)
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|
44,562 | sock | skip_until |
Skip everything until first occurence of string @s, stop before occurence.
Return nothing.
| def skip_until(self, s, timeout=None):
"""
Skip everything until first occurence of string @s, stop before occurence.
Return nothing.
"""
s = Bytes(s)
self.read_cond(lambda x: s in x.buf, timeout)
start = self.buf.find(s)
self.buf = self.buf[start:]
return
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|
44,563 | sock | skip_until_re |
Skip everything until first match of regexp @r, stop before match.
Return match.
| def skip_until_re(self, r, flags=0, timeout=None):
"""
Skip everything until first match of regexp @r, stop before match.
Return match.
"""
r = Bytes(r)
match = self.read_cond(
lambda x: re.search(r, x.buf, flags=flags), timeout)
self.buf = self.buf[match.start():]
return match if len(match.groups()) > 1 else match.group(len(match.groups()))
| (self, r, flags=0, timeout=None) | [
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|
44,564 | sock | write | null | def write(self, s):
return self.send(s)
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|
44,565 | sock | Bytes | null | def Bytes(s):
if isinstance(s, str): return s.encode("ascii")
assert isinstance(s, bytes)
return s
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44,566 | sock | IPv4Mixin | null | class IPv4Mixin(object):
SOCKET_FAMILY = socket.AF_INET
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44,567 | sock | IPv6Mixin | null | class IPv6Mixin(object):
SOCKET_FAMILY = socket.AF_INET6
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|
44,568 | sock | MyWebSocket | null | class MyWebSocket(websocket.WebSocket):
def __init__(self, *args, **kwargs):
self.buf = b''
super(MyWebSocket, self).__init__(*args, **kwargs)
def setblocking(self, val):
pass
def recvbytes(self, bufsize):
self.buf += self.recv()
r = self.buf[:bufsize]
self.buf = self.buf[bufsize:]
return r
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|
44,569 | sock | __init__ | null | def __init__(self, *args, **kwargs):
self.buf = b''
super(MyWebSocket, self).__init__(*args, **kwargs)
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|
44,570 | websocket._core | __iter__ |
Allow iteration over websocket, implying sequential `recv` executions.
| def __iter__(self):
"""
Allow iteration over websocket, implying sequential `recv` executions.
"""
while True:
yield self.recv()
| (self) | [
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|
44,571 | websocket._core | __next__ | null | def __next__(self):
return self.recv()
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|
44,572 | websocket._core | _recv | null | def _recv(self, bufsize):
try:
return recv(self.sock, bufsize)
except WebSocketConnectionClosedException:
if self.sock:
self.sock.close()
self.sock = None
self.connected = False
raise
| (self, bufsize) | [
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|
44,573 | websocket._core | _send | null | def _send(self, data):
return send(self.sock, data)
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|
44,574 | websocket._core | abort |
Low-level asynchronous abort, wakes up other threads that are waiting in recv_*
| def abort(self):
"""
Low-level asynchronous abort, wakes up other threads that are waiting in recv_*
"""
if self.connected:
self.sock.shutdown(socket.SHUT_RDWR)
| (self) | [
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|
44,575 | websocket._core | close |
Close Websocket object
status: status code to send. see STATUS_XXX.
reason: the reason to close. This must be string.
timeout: timeout until receive a close frame.
If None, it will wait forever until receive a close frame.
| def close(self, status=STATUS_NORMAL, reason=six.b(""), timeout=3):
"""
Close Websocket object
status: status code to send. see STATUS_XXX.
reason: the reason to close. This must be string.
timeout: timeout until receive a close frame.
If None, it will wait forever until receive a close frame.
"""
if self.connected:
if status < 0 or status >= ABNF.LENGTH_16:
raise ValueError("code is invalid range")
try:
self.connected = False
self.send(struct.pack('!H', status) +
reason, ABNF.OPCODE_CLOSE)
sock_timeout = self.sock.gettimeout()
self.sock.settimeout(timeout)
start_time = time.time()
while timeout is None or time.time() - start_time < timeout:
try:
frame = self.recv_frame()
if frame.opcode != ABNF.OPCODE_CLOSE:
continue
if isEnabledForError():
recv_status = struct.unpack("!H", frame.data[0:2])[0]
if recv_status != STATUS_NORMAL:
error("close status: " + repr(recv_status))
break
except:
break
self.sock.settimeout(sock_timeout)
self.sock.shutdown(socket.SHUT_RDWR)
except:
pass
self.shutdown()
| (self, status=1000, reason=b'', timeout=3) | [
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|
44,576 | websocket._core | connect |
Connect to url. url is websocket url scheme.
ie. ws://host:port/resource
You can customize using 'options'.
If you set "header" list object, you can set your own custom header.
>>> ws = WebSocket()
>>> ws.connect("ws://echo.websocket.org/",
... header=["User-Agent: MyProgram",
... "x-custom: header"])
timeout: socket timeout time. This value is integer.
if you set None for this value,
it means "use default_timeout value"
options: "header" -> custom http header list or dict.
"cookie" -> cookie value.
"origin" -> custom origin url.
"suppress_origin" -> suppress outputting origin header.
"host" -> custom host header string.
"http_proxy_host" - http proxy host name.
"http_proxy_port" - http proxy port. If not set, set to 80.
"http_no_proxy" - host names, which doesn't use proxy.
"http_proxy_auth" - http proxy auth information.
tuple of username and password.
default is None
"redirect_limit" -> number of redirects to follow.
"subprotocols" - array of available sub protocols.
default is None.
"socket" - pre-initialized stream socket.
| def connect(self, url, **options):
"""
Connect to url. url is websocket url scheme.
ie. ws://host:port/resource
You can customize using 'options'.
If you set "header" list object, you can set your own custom header.
>>> ws = WebSocket()
>>> ws.connect("ws://echo.websocket.org/",
... header=["User-Agent: MyProgram",
... "x-custom: header"])
timeout: socket timeout time. This value is integer.
if you set None for this value,
it means "use default_timeout value"
options: "header" -> custom http header list or dict.
"cookie" -> cookie value.
"origin" -> custom origin url.
"suppress_origin" -> suppress outputting origin header.
"host" -> custom host header string.
"http_proxy_host" - http proxy host name.
"http_proxy_port" - http proxy port. If not set, set to 80.
"http_no_proxy" - host names, which doesn't use proxy.
"http_proxy_auth" - http proxy auth information.
tuple of username and password.
default is None
"redirect_limit" -> number of redirects to follow.
"subprotocols" - array of available sub protocols.
default is None.
"socket" - pre-initialized stream socket.
"""
# FIXME: "subprotocols" are getting lost, not passed down
# FIXME: "header", "cookie", "origin" and "host" too
self.sock_opt.timeout = options.get('timeout', self.sock_opt.timeout)
self.sock, addrs = connect(url, self.sock_opt, proxy_info(**options),
options.pop('socket', None))
try:
self.handshake_response = handshake(self.sock, *addrs, **options)
for attempt in range(options.pop('redirect_limit', 3)):
if self.handshake_response.status in SUPPORTED_REDIRECT_STATUSES:
url = self.handshake_response.headers['location']
self.sock.close()
self.sock, addrs = connect(url, self.sock_opt, proxy_info(**options),
options.pop('socket', None))
self.handshake_response = handshake(self.sock, *addrs, **options)
self.connected = True
except:
if self.sock:
self.sock.close()
self.sock = None
raise
| (self, url, **options) | [
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-0.0682598128914833,
-0.044013235718011856,
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|
44,577 | websocket._core | fileno | null | def fileno(self):
return self.sock.fileno()
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|
44,578 | websocket._core | getheaders |
get handshake response header
| def getheaders(self):
"""
get handshake response header
"""
if self.handshake_response:
return self.handshake_response.headers
else:
return None
| (self) | [
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|
44,579 | websocket._core | getstatus |
get handshake status
| def getstatus(self):
"""
get handshake status
"""
if self.handshake_response:
return self.handshake_response.status
else:
return None
| (self) | [
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|
44,580 | websocket._core | getsubprotocol |
get subprotocol
| def getsubprotocol(self):
"""
get subprotocol
"""
if self.handshake_response:
return self.handshake_response.subprotocol
else:
return None
| (self) | [
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|
44,581 | websocket._core | gettimeout |
Get the websocket timeout(second).
| def gettimeout(self):
"""
Get the websocket timeout(second).
"""
return self.sock_opt.timeout
| (self) | [
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|
44,582 | websocket._core | is_ssl | null | def is_ssl(self):
return isinstance(self.sock, ssl.SSLSocket)
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|
44,583 | websocket._core | next | null | def next(self):
return self.__next__()
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|
44,584 | websocket._core | ping |
send ping data.
payload: data payload to send server.
| def ping(self, payload=""):
"""
send ping data.
payload: data payload to send server.
"""
if isinstance(payload, six.text_type):
payload = payload.encode("utf-8")
self.send(payload, ABNF.OPCODE_PING)
| (self, payload='') | [
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|
44,585 | websocket._core | pong |
send pong data.
payload: data payload to send server.
| def pong(self, payload):
"""
send pong data.
payload: data payload to send server.
"""
if isinstance(payload, six.text_type):
payload = payload.encode("utf-8")
self.send(payload, ABNF.OPCODE_PONG)
| (self, payload) | [
-0.004932591691613197,
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|
44,586 | websocket._core | recv |
Receive string data(byte array) from the server.
return value: string(byte array) value.
| def recv(self):
"""
Receive string data(byte array) from the server.
return value: string(byte array) value.
"""
with self.readlock:
opcode, data = self.recv_data()
if six.PY3 and opcode == ABNF.OPCODE_TEXT:
return data.decode("utf-8")
elif opcode == ABNF.OPCODE_TEXT or opcode == ABNF.OPCODE_BINARY:
return data
else:
return ''
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|
44,587 | websocket._core | recv_data |
Receive data with operation code.
control_frame: a boolean flag indicating whether to return control frame
data, defaults to False
return value: tuple of operation code and string(byte array) value.
| def recv_data(self, control_frame=False):
"""
Receive data with operation code.
control_frame: a boolean flag indicating whether to return control frame
data, defaults to False
return value: tuple of operation code and string(byte array) value.
"""
opcode, frame = self.recv_data_frame(control_frame)
return opcode, frame.data
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|
44,588 | websocket._core | recv_data_frame |
Receive data with operation code.
control_frame: a boolean flag indicating whether to return control frame
data, defaults to False
return value: tuple of operation code and string(byte array) value.
| def recv_data_frame(self, control_frame=False):
"""
Receive data with operation code.
control_frame: a boolean flag indicating whether to return control frame
data, defaults to False
return value: tuple of operation code and string(byte array) value.
"""
while True:
frame = self.recv_frame()
if not frame:
# handle error:
# 'NoneType' object has no attribute 'opcode'
raise WebSocketProtocolException(
"Not a valid frame %s" % frame)
elif frame.opcode in (ABNF.OPCODE_TEXT, ABNF.OPCODE_BINARY, ABNF.OPCODE_CONT):
self.cont_frame.validate(frame)
self.cont_frame.add(frame)
if self.cont_frame.is_fire(frame):
return self.cont_frame.extract(frame)
elif frame.opcode == ABNF.OPCODE_CLOSE:
self.send_close()
return frame.opcode, frame
elif frame.opcode == ABNF.OPCODE_PING:
if len(frame.data) < 126:
self.pong(frame.data)
else:
raise WebSocketProtocolException(
"Ping message is too long")
if control_frame:
return frame.opcode, frame
elif frame.opcode == ABNF.OPCODE_PONG:
if control_frame:
return frame.opcode, frame
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|
44,589 | websocket._core | recv_frame |
receive data as frame from server.
return value: ABNF frame object.
| def recv_frame(self):
"""
receive data as frame from server.
return value: ABNF frame object.
"""
return self.frame_buffer.recv_frame()
| (self) | [
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|
44,590 | sock | recvbytes | null | def recvbytes(self, bufsize):
self.buf += self.recv()
r = self.buf[:bufsize]
self.buf = self.buf[bufsize:]
return r
| (self, bufsize) | [
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|
44,591 | websocket._core | send |
Send the data as string.
payload: Payload must be utf-8 string or unicode,
if the opcode is OPCODE_TEXT.
Otherwise, it must be string(byte array)
opcode: operation code to send. Please see OPCODE_XXX.
| def send(self, payload, opcode=ABNF.OPCODE_TEXT):
"""
Send the data as string.
payload: Payload must be utf-8 string or unicode,
if the opcode is OPCODE_TEXT.
Otherwise, it must be string(byte array)
opcode: operation code to send. Please see OPCODE_XXX.
"""
frame = ABNF.create_frame(payload, opcode)
return self.send_frame(frame)
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|
44,592 | websocket._core | send_binary | null | def send_binary(self, payload):
return self.send(payload, ABNF.OPCODE_BINARY)
| (self, payload) | [
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|
44,593 | websocket._core | send_close |
send close data to the server.
status: status code to send. see STATUS_XXX.
reason: the reason to close. This must be string or bytes.
| def send_close(self, status=STATUS_NORMAL, reason=six.b("")):
"""
send close data to the server.
status: status code to send. see STATUS_XXX.
reason: the reason to close. This must be string or bytes.
"""
if status < 0 or status >= ABNF.LENGTH_16:
raise ValueError("code is invalid range")
self.connected = False
self.send(struct.pack('!H', status) + reason, ABNF.OPCODE_CLOSE)
| (self, status=1000, reason=b'') | [
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|
44,594 | websocket._core | send_frame |
Send the data frame.
frame: frame data created by ABNF.create_frame
>>> ws = create_connection("ws://echo.websocket.org/")
>>> frame = ABNF.create_frame("Hello", ABNF.OPCODE_TEXT)
>>> ws.send_frame(frame)
>>> cont_frame = ABNF.create_frame("My name is ", ABNF.OPCODE_CONT, 0)
>>> ws.send_frame(frame)
>>> cont_frame = ABNF.create_frame("Foo Bar", ABNF.OPCODE_CONT, 1)
>>> ws.send_frame(frame)
| def send_frame(self, frame):
"""
Send the data frame.
frame: frame data created by ABNF.create_frame
>>> ws = create_connection("ws://echo.websocket.org/")
>>> frame = ABNF.create_frame("Hello", ABNF.OPCODE_TEXT)
>>> ws.send_frame(frame)
>>> cont_frame = ABNF.create_frame("My name is ", ABNF.OPCODE_CONT, 0)
>>> ws.send_frame(frame)
>>> cont_frame = ABNF.create_frame("Foo Bar", ABNF.OPCODE_CONT, 1)
>>> ws.send_frame(frame)
"""
if self.get_mask_key:
frame.get_mask_key = self.get_mask_key
data = frame.format()
length = len(data)
if (isEnabledForTrace()):
trace("send: " + repr(data))
with self.lock:
while data:
l = self._send(data)
data = data[l:]
return length
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|
44,595 | websocket._core | set_mask_key |
set function to create musk key. You can customize mask key generator.
Mainly, this is for testing purpose.
func: callable object. the func takes 1 argument as integer.
The argument means length of mask key.
This func must return string(byte array),
which length is argument specified.
| def set_mask_key(self, func):
"""
set function to create musk key. You can customize mask key generator.
Mainly, this is for testing purpose.
func: callable object. the func takes 1 argument as integer.
The argument means length of mask key.
This func must return string(byte array),
which length is argument specified.
"""
self.get_mask_key = func
| (self, func) | [
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|
44,596 | sock | setblocking | null | def setblocking(self, val):
pass
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|
44,597 | websocket._core | settimeout |
Set the timeout to the websocket.
timeout: timeout time(second).
| def settimeout(self, timeout):
"""
Set the timeout to the websocket.
timeout: timeout time(second).
"""
self.sock_opt.timeout = timeout
if self.sock:
self.sock.settimeout(timeout)
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|
44,598 | websocket._core | shutdown | close socket, immediately. | def shutdown(self):
"""close socket, immediately."""
if self.sock:
self.sock.close()
self.sock = None
self.connected = False
| (self) | [
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|
44,599 | sock | SSLMixIn | null | class SSLMixIn(TCPMixIn):
def _connect(self):
TCPMixIn._connect(self)
self.sock = ssl.wrap_socket(self.sock)
| () | [
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|
44,600 | sock | _connect | null | def _connect(self):
TCPMixIn._connect(self)
self.sock = ssl.wrap_socket(self.sock)
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|
44,601 | sock | recv | null | def recv(self, bufsize):
return self.sock.recv(bufsize)
| (self, bufsize) | [
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|
44,602 | sock | send | null | def send(self, s):
return self.sock.sendall(Bytes(s))
| (self, s) | [
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]
|
44,603 | sock | SSLSock | null | class SSLSock(SSLMixIn, IPv4Mixin, AbstractSock, AbstractPwnlibTubes):
pass
| (*addr, **timeout_dict) | [
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]
|
44,637 | sock | SSLSock6 | null | class SSLSock6(SSLMixIn, IPv6Mixin, AbstractSock, AbstractPwnlibTubes):
pass
| (*addr, **timeout_dict) | [
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]
|
44,671 | sock | Sock | null | class Sock(TCPMixIn, IPv4Mixin, AbstractSock, AbstractPwnlibTubes):
pass
| (*addr, **timeout_dict) | [
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|
44,674 | sock | _connect | null | def _connect(self):
self.sock.connect(self.addr)
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0.0399617925286293,
0.04200102388858795
]
|
44,705 | sock | Sock6 | null | class Sock6(TCPMixIn, IPv6Mixin, AbstractSock, AbstractPwnlibTubes):
pass
| (*addr, **timeout_dict) | [
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]
|
44,739 | sock | SockU | null | class SockU(UDPMixIn, IPv4Mixin, AbstractSock, AbstractPwnlibTubes):
pass
| (*addr, **timeout_dict) | [
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|
44,742 | sock | _connect | null | def _connect(self):
pass # udp doesn't need connect
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|
44,760 | sock | recv | null | def recv(self, bufsize):
while True:
data, addr = self.sock.recvfrom(bufsize)
if addr == self.addr:
return data
# TODO: warning about non-matching addr
| (self, bufsize) | [
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|
44,765 | sock | send | null | def send(self, s):
return self.sock.sendto(s, self.addr)
| (self, s) | [
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0.062216516584157944
]
|
44,773 | sock | SockU6 | null | class SockU6(UDPMixIn, IPv6Mixin, AbstractSock, AbstractPwnlibTubes):
pass
| (*addr, **timeout_dict) | [
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|
44,807 | builtins | OSError | Base class for I/O related errors. | from builtins import OSError
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|
44,808 | sock | Str | null | def Str(s):
if isinstance(s, bytes): return s.decode("ascii")
assert isinstance(s, str)
return s
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|
44,809 | sock | TCPMixIn | null | class TCPMixIn(object):
SOCKET_TYPE = socket.SOCK_STREAM
def _connect(self):
self.sock.connect(self.addr)
def recv(self, bufsize):
return self.sock.recv(bufsize)
def send(self, s):
return self.sock.sendall(Bytes(s))
| () | [
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|
44,813 | builtins | TimeoutError | Timeout expired. | from builtins import TimeoutError
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|
44,814 | sock | UDPMixIn | null | class UDPMixIn(object):
SOCKET_TYPE = socket.SOCK_DGRAM
def _connect(self):
pass # udp doesn't need connect
def recv(self, bufsize):
while True:
data, addr = self.sock.recvfrom(bufsize)
if addr == self.addr:
return data
# TODO: warning about non-matching addr
def send(self, s):
return self.sock.sendto(s, self.addr)
| () | [
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]
|
44,818 | sock | WebSock | null | class WebSock(WebSocketMixIn, AbstractSock, AbstractPwnlibTubes):
pass
| (*addr, **timeout_dict) | [
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|
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