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Merge pull request #673 from mrava87/release-v2.5.0
release: prepare for v2.5.0
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‎CHANGELOG.md‎

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Changelog
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=========
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# 2.5.0
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* Added `cuda` engine to `pylops.waveeqprocessing.Kirchhoff`
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operator
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* Added `Opbasis` and `optimal_coeff` to
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`pylops.optimization.cls_sparsity.OMP`
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* Added `solver` to the input parameters of the `_oneshot`
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internal methods of `pylops.waveeqprocessing.AcousticWave2D`
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to avoid recreating it for every shot
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* Added `kwargs_fft` to `pylops.signalprocessing.FFT`,
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`pylops.signalprocessing.FFT2D`, and
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`pylops.signalprocessing.FFTND`
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* Fix bug in `pylops.waveeqprocessing.MDD` when using
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CuPy arrays for `G` and `d` with `twosided=True` and `add_negative=True`
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* Fix bug in `pylops.signalprocessing.FourierRadon3D`
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in the default choice of `num_threads_per_blocks`
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* Fix bug in `pylops.signalprocessing.Convolve1D`
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in the definition of `pad` and `padd` when applying the
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operator to a CuPy array
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* Fix bug in `pylops.optimization.cls_sparsity.OMP` avoiding
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passing `explicit` in the creation of `_ColumnLinearOperator`
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* Fix bug in `pylops.optimization.cls_sparsity.OMP` callback
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method as `cols` was not passed not allowing ``x`` to be
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properly reconstructed
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* Fix bug in `pylops.waveeqprocessing.SeismicInterpolation`
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in calculation of `sampling` when not passed
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# 2.4.0
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* Added `pylops.signalprocessing.FourierRadon2d` and
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`pylops.signalprocessing.FourierRadon3d` operators

‎docs/source/changelog.rst‎

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Changelog
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=========
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Version 2.5.0
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-------------
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*Released on: 21/06/2025*
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* Added `cuda` engine to :py:class:`pylops.waveeqprocessing.Kirchhoff`
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operator
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* Added `Opbasis` and `optimal_coeff` to
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:py:class:`pylops.optimization.cls_sparsity.OMP`
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* Added `solver` to the input parameters of the `_oneshot`
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internal methods of :py:class:`pylops.waveeqprocessing.AcousticWave2D`
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to avoid recreating it for every shot
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* Added `kwargs_fft` to `pylops.signalprocessing.FFT`,
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:py:class:`pylops.signalprocessing.FFT2D`, and
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:py:class:`pylops.signalprocessing.FFTND`
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* Fix bug in :py:func:`pylops.waveeqprocessing.MDD` when using
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CuPy arrays for `G` and `d` with `twosided=True` and `add_negative=True`
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* Fix bug in :py:class:`pylops.signalprocessing.FourierRadon3D`
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in the default choice of `num_threads_per_blocks`
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* Fix bug in :py:class:`pylops.signalprocessing.Convolve1D`
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in the definition of `pad` and `padd` when applying the
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operator to a CuPy array
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* Fix bug in :py:class:`pylops.optimization.cls_sparsity.OMP` avoiding
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passing `explicit` in the creation of `_ColumnLinearOperator`
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* Fix bug in :py:class:`pylops.optimization.cls_sparsity.OMP` callback
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method as `cols` was not passed not allowing ``x`` to be
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properly reconstructed
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* Fix bug in :py:func:`pylops.waveeqprocessing.SeismicInterpolation`
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in calculation of `sampling` when not passed
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Version 2.4.0
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-------------
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* Extended :py:func:`pylops.Laplacian` to N-dimensional arrays
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* Added `forward` kind to :py:class:`pylops.SecondDerivative` and
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:py:func:`pylops.Laplacian`
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* Added `chirp-sliding` kind to :py:class:`pylops.waveeqprocessing.seismicinterpolation.SeismicInterpolation`
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* Added `chirp-sliding` kind to :py:func:`pylops.waveeqprocessing.SeismicInterpolation`
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* Fixed bug due to the new internal structure of `LinearOperator` submodule introduced in `scipy1.8.0`
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:py:class:`pylops.signalprocessing.FFT2D` to ensure that the type of the input
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vector is retained when applying forward and adjoint.
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* Added ``dtype`` parameter to the ``FFT`` calls in the definition of the
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:py:class:`pylops.waveeqprocessing.MDD` operation. This ensure that the type
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:py:func:`pylops.waveeqprocessing.MDD` operation. This ensure that the type
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of the real part of ``G`` input is enforced to the output vectors of the
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forward and adjoint operations.
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‎docs/source/sg_execution_times.rst‎

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:orphan:
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.. _sphx_glr_sg_execution_times:
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Computation times
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=================
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**00:00.703** total execution time for 79 files **from all galleries**:
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.. container::
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.. raw:: html
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<style scoped>
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<link href="https://cdnjs.cloudflare.com/ajax/libs/twitter-bootstrap/5.3.0/css/bootstrap.min.css" rel="stylesheet" />
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<link href="https://cdn.datatables.net/1.13.6/css/dataTables.bootstrap5.min.css" rel="stylesheet" />
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</style>
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<script src="https://code.jquery.com/jquery-3.7.0.js"></script>
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<script src="https://cdn.datatables.net/1.13.6/js/jquery.dataTables.min.js"></script>
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<script src="https://cdn.datatables.net/1.13.6/js/dataTables.bootstrap5.min.js"></script>
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<script type="text/javascript" class="init">
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$(document).ready( function () {
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$('table.sg-datatable').DataTable({order: [[1, 'desc']]});
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} );
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</script>
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.. list-table::
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:header-rows: 1
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:class: table table-striped sg-datatable
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* - Example
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- Time
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- Mem (MB)
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* - :ref:`sphx_glr_tutorials_jaxop.py` (``../../tutorials/jaxop.py``)
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- 00:00.703
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- 0.0
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* - :ref:`sphx_glr_gallery_plot_avo.py` (``../../examples/plot_avo.py``)
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- 00:00.000
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- 00:00.000
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- 00:00.000
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- 0.0
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* - :ref:`sphx_glr_gallery_plot_blending.py` (``../../examples/plot_blending.py``)
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- 00:00.000
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- 0.0
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* - :ref:`sphx_glr_gallery_plot_causalintegration.py` (``../../examples/plot_causalintegration.py``)
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- 00:00.000
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- 0.0
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* - :ref:`sphx_glr_gallery_plot_cgls.py` (``../../examples/plot_cgls.py``)
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- 00:00.000
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- 00:00.000
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* - :ref:`sphx_glr_gallery_plot_convolve.py` (``../../examples/plot_convolve.py``)
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* - :ref:`sphx_glr_gallery_plot_diagonal.py` (``../../examples/plot_diagonal.py``)
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* - :ref:`sphx_glr_gallery_plot_identity.py` (``../../examples/plot_identity.py``)
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* - :ref:`sphx_glr_gallery_plot_nmo.py` (``../../examples/plot_nmo.py``)
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* - :ref:`sphx_glr_gallery_plot_pad.py` (``../../examples/plot_pad.py``)
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* - :ref:`sphx_glr_gallery_plot_patching.py` (``../../examples/plot_patching.py``)
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* - :ref:`sphx_glr_gallery_plot_phaseshift.py` (``../../examples/plot_phaseshift.py``)
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* - :ref:`sphx_glr_gallery_plot_prestack.py` (``../../examples/plot_prestack.py``)
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* - :ref:`sphx_glr_gallery_plot_radon.py` (``../../examples/plot_radon.py``)
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* - :ref:`sphx_glr_gallery_plot_real.py` (``../../examples/plot_real.py``)
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* - :ref:`sphx_glr_gallery_plot_regr.py` (``../../examples/plot_regr.py``)
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* - :ref:`sphx_glr_gallery_plot_restriction.py` (``../../examples/plot_restriction.py``)
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* - :ref:`sphx_glr_gallery_plot_roll.py` (``../../examples/plot_roll.py``)
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* - :ref:`sphx_glr_gallery_plot_shift.py` (``../../examples/plot_shift.py``)
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* - :ref:`sphx_glr_gallery_plot_slopeest.py` (``../../examples/plot_slopeest.py``)
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* - :ref:`sphx_glr_gallery_plot_smoothing1d.py` (``../../examples/plot_smoothing1d.py``)
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* - :ref:`sphx_glr_gallery_plot_smoothing2d.py` (``../../examples/plot_smoothing2d.py``)
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* - :ref:`sphx_glr_gallery_plot_spread.py` (``../../examples/plot_spread.py``)
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* - :ref:`sphx_glr_gallery_plot_stacking.py` (``../../examples/plot_stacking.py``)
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* - :ref:`sphx_glr_gallery_plot_sum.py` (``../../examples/plot_sum.py``)
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* - :ref:`sphx_glr_gallery_plot_symmetrize.py` (``../../examples/plot_symmetrize.py``)
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* - :ref:`sphx_glr_gallery_plot_tapers.py` (``../../examples/plot_tapers.py``)
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* - :ref:`sphx_glr_gallery_plot_tndarray.py` (``../../examples/plot_tndarray.py``)
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* - :ref:`sphx_glr_gallery_plot_transpose.py` (``../../examples/plot_transpose.py``)
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* - :ref:`sphx_glr_gallery_plot_tvreg.py` (``../../examples/plot_tvreg.py``)
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* - :ref:`sphx_glr_gallery_plot_twoway.py` (``../../examples/plot_twoway.py``)
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