repo stringlengths 2 99 | file stringlengths 13 225 | code stringlengths 0 18.3M | file_length int64 0 18.3M | avg_line_length float64 0 1.36M | max_line_length int64 0 4.26M | extension_type stringclasses 1
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pylops | pylops-master/examples/plot_nonstatfilter.py | """
Non-stationary Filter Estimation
================================
This example shows how to use the :py:class:`pylops.signalprocessing.NonStationaryFilters1D`
and :py:class:`pylops.signalprocessing.NonStationaryFilters2D` operators to perform non-stationary
filter estimation that when convolved with an input signal... | 4,246 | 30.459259 | 98 | py |
pylops | pylops-master/examples/plot_zero.py | """
Zero
====
This example shows how to use the :py:class:`pylops.basicoperators.Zero` operator.
This operators simply zeroes the data in forward mode and the model in adjoint mode.
"""
import matplotlib.gridspec as pltgs
import matplotlib.pyplot as plt
import numpy as np
import pylops
plt.close("all")
############... | 2,981 | 26.611111 | 88 | py |
pylops | pylops-master/examples/plot_nonstatconvolve.py | """
Non-stationary Convolution
==========================
This example shows how to use the :py:class:`pylops.signalprocessing.NonStationaryConvolve1D`
and :py:class:`pylops.signalprocessing.NonStationaryConvolve2D` operators to perform non-stationary
convolution between two signals.
Similar to their stationary counte... | 3,979 | 28.924812 | 99 | py |
pylops | pylops-master/examples/plot_tvreg.py | r"""
Total Variation (TV) Regularization
===================================
This set of examples shows how to add Total Variation (TV) regularization to an
inverse problem in order to enforce blockiness in the reconstructed model.
To do so we will use the generalizated Split Bregman iterations by means of
:func:`pyl... | 6,483 | 29.729858 | 79 | py |
pylops | pylops-master/examples/plot_conj.py | """
Conj
====
This example shows how to use the :py:class:`pylops.basicoperators.Conj`
operator.
This operator returns the complex conjugate in both forward and adjoint
modes (it is self adjoint).
"""
import matplotlib.pyplot as plt
import numpy as np
import pylops
plt.close("all")
#################################... | 1,064 | 24.357143 | 79 | py |
pylops | pylops-master/examples/plot_wavs.py | """
Wavelets
========
This example shows how to use the different wavelets available PyLops.
"""
import matplotlib.pyplot as plt
import numpy as np
import pylops
plt.close("all")
###############################################################################
# Let's start with defining a time axis and creating the F... | 1,771 | 29.551724 | 82 | py |
pylops | pylops-master/examples/plot_seismicevents.py | """
Synthetic seismic
=================
This example shows how to use the :py:mod:`pylops.utils.seismicevents` module
to quickly create synthetic seismic data to be used for toy examples and tests.
"""
import matplotlib.pyplot as plt
import numpy as np
import pylops
plt.close("all")
################################... | 4,391 | 25.457831 | 83 | py |
pylops | pylops-master/examples/plot_identity.py | """
Identity
========
This example shows how to use the :py:class:`pylops.Identity` operator to transfer model
into data and viceversa.
"""
import matplotlib.gridspec as pltgs
import matplotlib.pyplot as plt
import numpy as np
import pylops
plt.close("all")
###########################################################... | 2,896 | 26.330189 | 90 | py |
pylops | pylops-master/examples/plot_derivative.py | """
Derivatives
===========
This example shows how to use the suite of derivative operators, namely
:py:class:`pylops.FirstDerivative`, :py:class:`pylops.SecondDerivative`,
:py:class:`pylops.Laplacian` and :py:class:`pylops.Gradient`,
:py:class:`pylops.FirstDirectionalDerivative` and
:py:class:`pylops.SecondDirectional... | 9,276 | 34.544061 | 81 | py |
pylops | pylops-master/examples/plot_transpose.py | r"""
Transpose
=========
This example shows how to use the :py:class:`pylops.Transpose`
operator. For arrays that are 2-dimensional in nature this operator
simply transposes rows and columns. For multi-dimensional arrays, this
operator can be used to permute dimensions
"""
import matplotlib.pyplot as plt
import numpy a... | 1,643 | 33.25 | 79 | py |
pylops | pylops-master/examples/plot_sliding.py | r"""
1D, 2D and 3D Sliding
=====================
This example shows how to use the
:py:class:`pylops.signalprocessing.Sliding1D`,
:py:class:`pylops.signalprocessing.Sliding2D`
and :py:class:`pylops.signalprocessing.Sliding3D` operators
to perform repeated transforms over small strides of a 1-, 2- or 3-dimensional
arra... | 11,470 | 30.34153 | 87 | py |
pylops | pylops-master/examples/plot_ista.py | r"""
MP, OMP, ISTA and FISTA
=======================
This example shows how to use the :py:class:`pylops.optimization.sparsity.omp`,
:py:class:`pylops.optimization.sparsity.irls`,
:py:class:`pylops.optimization.sparsity.ista`, and
:py:class:`pylops.optimization.sparsity.fista` solvers.
These solvers can be used when ... | 5,619 | 30.222222 | 85 | py |
pylops | pylops-master/examples/plot_convolve.py | """
Convolution
===========
This example shows how to use the :py:class:`pylops.signalprocessing.Convolve1D`,
:py:class:`pylops.signalprocessing.Convolve2D` and
:py:class:`pylops.signalprocessing.ConvolveND` operators to perform convolution
between two signals.
Such operators can be used in the forward model of severa... | 6,196 | 34.411429 | 86 | py |
pylops | pylops-master/examples/plot_l1l1.py | r"""
L1-L1 IRLS
==========
This example shows how to use the :py:class:`pylops.optimization.sparsity.irls` solver to
solve problems in the form:
.. math::
J = \left\| \mathbf{y}-\mathbf{Ax}\right\|_{1} + \epsilon \left\|\mathbf{x}\right\|_{1}
This can be easily achieved by recasting the problem into this... | 2,945 | 26.027523 | 103 | py |
pylops | pylops-master/examples/plot_shift.py | r"""
Shift
=====
This example shows how to use the :py:class:`pylops.signalprocessing.Shift`
operator to apply fractional delay to an input signal. Whilst this operator
acts on 1D signals it can also be applied on any multi-dimensional signal on
a specific direction of it.
"""
import matplotlib.pyplot as plt
import n... | 3,478 | 28.483051 | 87 | py |
pylops | pylops-master/examples/plot_spread.py | r"""
Spread How-to
================
This example focuses on the :py:class:`pylops.basicoperators.Spread` operator,
which is a highly versatile operator in PyLops to perform spreading/stacking
operations in a vectorized manner (or efficiently via Numba-jitted ``for`` loops).
The :py:class:`pylops.basicoperators.Spread`... | 7,574 | 32.223684 | 106 | py |
pylops | pylops-master/examples/plot_chirpradon.py | r"""
Chirp Radon Transform
=====================
This example shows how to use the :py:class:`pylops.signalprocessing.ChirpRadon2D`
and :py:class:`pylops.signalprocessing.ChirpRadon3D` operators to apply the
linear Radon Transform to 2-dimensional or 3-dimensional signals, respectively.
When working with the linear Ra... | 5,674 | 25.273148 | 85 | py |
pylops | pylops-master/examples/plot_slopeest.py | r"""
Slope estimation via Structure Tensor algorithm
===============================================
This example shows how to estimate local slopes or local dips of a two-dimensional
array using :py:func:`pylops.utils.signalprocessing.slope_estimate` and
:py:func:`pylops.utils.signalprocessing.dip_estimate`.
Knowing... | 10,546 | 35.49481 | 88 | py |
pylops | pylops-master/examples/plot_linearregr.py | r"""
Linear Regression
=================
This example shows how to use the :py:class:`pylops.LinearRegression` operator
to perform *Linear regression analysis*.
In short, linear regression is the problem of finding the best fitting
coefficients, namely intercept :math:`\mathbf{x_0}` and gradient
:math:`\mathbf{x_1}`,... | 6,329 | 29.878049 | 79 | py |
pylops | pylops-master/examples/plot_blending.py | """
Blending
========
This example shows how to use the :py:class:`pylops.waveeqprocessing.blending.Blending`
operator to blend seismic data to mimic state-of-the-art simultaneous shooting
acquisition systems.
"""
import matplotlib.pyplot as plt
import numpy as np
import scipy as sp
import pylops
plt.close("all")
np.... | 7,398 | 23.5 | 87 | py |
pylops | pylops-master/examples/plot_fft.py | """
Fourier Transform
=================
This example shows how to use the :py:class:`pylops.signalprocessing.FFT`,
:py:class:`pylops.signalprocessing.FFT2D`
and :py:class:`pylops.signalprocessing.FFTND` operators to apply the Fourier
Transform to the model and the inverse Fourier Transform to the data.
"""
import matpl... | 5,786 | 31.329609 | 88 | py |
pylops | pylops-master/examples/plot_restriction.py | """
Restriction and Interpolation
=============================
This example shows how to use the :py:class:`pylops.Restriction` operator
to sample a certain input vector at desired locations ``iava``. Moreover,
we go one step further and use the :py:class:`pylops.signalprocessing.Interp`
operator to show how we can a... | 3,699 | 31.45614 | 79 | py |
pylops | pylops-master/examples/plot_real.py | """
Real
====
This example shows how to use the :py:class:`pylops.basicoperators.Real`
operator.
This operator returns the real part of the data in forward and adjoint mode,
but the forward output will be a real number, while the adjoint output will
be a complex number with a zero-valued imaginary part.
"""
import mat... | 1,194 | 26.790698 | 79 | py |
pylops | pylops-master/examples/plot_seislet.py | """
Seislet transform
=================
This example shows how to use the :py:class:`pylops.signalprocessing.Seislet`
operator. This operator the forward, adjoint and inverse Seislet transform
that is a modification of the well-know Wavelet transform where local slopes
are used in the prediction and update steps to fur... | 8,773 | 37.31441 | 88 | py |
pylops | pylops-master/examples/plot_nmo.py | r"""
Normal Moveout (NMO) Correction
===============================
This example shows how to create your own operator for performing
normal moveout (NMO) correction to a seismic record.
We will perform classic NMO using an operator created from scratch,
as well as using the :py:class:`pylops.Spread` operator.
"""
fr... | 16,337 | 37.71564 | 85 | py |
pylops | pylops-master/examples/plot_dct.py | """
Discrete Cosine Transform
=========================
This example shows how to use the :py:class:`pylops.signalprocessing.DCT` operator.
This operator performs the Discrete Cosine Transform on a (single or multi-dimensional)
input array.
"""
import matplotlib.pyplot as plt
import numpy as np
import pylops
plt.cl... | 2,648 | 29.802326 | 87 | py |
pylops | pylops-master/examples/plot_imag.py | """
Imag
====
This example shows how to use the :py:class:`pylops.basicoperators.Imag`
operator.
This operator returns the imaginary part of the data as a real value in
forward mode, and the real part of the model as an imaginary value in
adjoint mode (with zero real part).
"""
import matplotlib.pyplot as plt
import n... | 1,169 | 26.209302 | 79 | py |
pylops | pylops-master/examples/plot_causalintegration.py | r"""
Causal Integration
==================
This example shows how to use the :py:class:`pylops.CausalIntegration`
operator to integrate an input signal (in forward mode) and to apply a smooth,
regularized derivative (in inverse mode). This is a very interesting
by-product of this operator which may result very useful ... | 6,401 | 34.966292 | 86 | py |
pylops | pylops-master/examples/plot_smoothing2d.py | """
2D Smoothing
============
This example shows how to use the :py:class:`pylops.Smoothing2D` operator
to smooth a multi-dimensional input signal along two given axes.
"""
import matplotlib.pyplot as plt
import numpy as np
import pylops
plt.close("all")
############################################################... | 1,462 | 30.12766 | 86 | py |
pylops | pylops-master/examples/plot_phaseshift.py | """
PhaseShift operator
====================
This example shows how to use the :class:`pylops.waveeqprocessing.PhaseShift`
operator to perform frequency-wavenumber shift of an input multi-dimensional
signal. Such a procedure is applied in a variety of disciplines including
geophysics, medical imaging and non-destructiv... | 5,968 | 27.15566 | 81 | py |
pylops | pylops-master/examples/plot_describe.py | r"""
Describe
========
This example focuses on the usage of the :func:`pylops.utils.describe.describe`
method, which allows expressing any PyLops operator into its equivalent
mathematical representation. This is done with the aid of
`sympy <https://docs.sympy.org>`_, a Python library for symbolic computing
"""
import ... | 2,071 | 28.183099 | 143 | py |
pylops | pylops-master/examples/plot_sum.py | """
Sum
===
This example shows how to use the :py:class:`pylops.Sum` operator to stack
values along an axis of a multi-dimensional array
"""
import matplotlib.gridspec as pltgs
import matplotlib.pyplot as plt
import numpy as np
import pylops
plt.close("all")
##########################################################... | 1,955 | 30.548387 | 79 | py |
pylops | pylops-master/examples/plot_cgls.py | r"""
CGLS and LSQR Solvers
=====================
This example shows how to use the :py:func:`pylops.optimization.leastsquares.cgls`
and :py:func:`pylops.optimization.leastsquares.lsqr` PyLops solvers
to minimize the following cost function:
.. math::
J = \| \mathbf{y} - \mathbf{Ax} \|_2^2 + \epsilon \| \math... | 2,394 | 26.848837 | 84 | py |
pylops | pylops-master/examples/plot_multiproc.py | """
Operators with Multiprocessing
==============================
This example shows how perform a scalability test for one of PyLops operators
that uses ``multiprocessing`` to spawn multiple processes. Operators that
support such feature are :class:`pylops.basicoperators.VStack`,
:class:`pylops.basicoperators.HStack`,... | 2,365 | 37.786885 | 82 | py |
pylops | pylops-master/examples/plot_wavelet.py | """
Wavelet transform
=================
This example shows how to use the :py:class:`pylops.DWT` and
:py:class:`pylops.DWT2D` operators to perform 1- and 2-dimensional DWT.
"""
import matplotlib.pyplot as plt
import numpy as np
import pylops
plt.close("all")
##########################################################... | 2,101 | 29.028571 | 86 | py |
pylops | pylops-master/examples/plot_regr.py | r"""
Polynomial Regression
=====================
This example shows how to use the :py:class:`pylops.Regression` operator
to perform *Polynomial regression analysis*.
In short, polynomial regression is the problem of finding the best fitting
coefficients for the following equation:
.. math::
y_i = \sum_{... | 4,506 | 27.891026 | 80 | py |
pylops | pylops-master/examples/plot_wavest.py | r"""
Wavelet estimation
==================
This example shows how to use the :py:class:`pylops.avo.prestack.PrestackWaveletModelling` to
estimate a wavelet from pre-stack seismic data. This problem can be written in mathematical
form as:
.. math::
\mathbf{d}= \mathbf{G} \mathbf{w}
where :math:`\mathbf{G}` is... | 6,524 | 32.290816 | 93 | py |
pylops | pylops-master/examples/plot_radon.py | r"""
Radon Transform
===============
This example shows how to use the :py:class:`pylops.signalprocessing.Radon2D`
and :py:class:`pylops.signalprocessing.Radon3D` operators to apply the Radon
Transform to 2-dimensional or 3-dimensional signals, respectively.
In our implementation both linear, parabolic and hyperbolic p... | 8,846 | 27.631068 | 86 | py |
pylops | pylops-master/examples/plot_matrixmult.py | r"""
Matrix Multiplication
=====================
This example shows how to use the :py:class:`pylops.MatrixMult` operator
to perform *Matrix inversion* of the following linear system.
.. math::
\mathbf{y}= \mathbf{A} \mathbf{x}
You will see that since this operator is a simple overloading to a
:py:func:`num... | 6,598 | 29.550926 | 85 | py |
pylops | pylops-master/examples/plot_patching.py | r"""
Patching
========
This example shows how to use the :py:class:`pylops.signalprocessing.Patch2D`
and :py:class:`pylops.signalprocessing.Patch3D` operators to perform repeated
transforms over small patches of a 2-dimensional or 3-dimensional
array. The transforms that we apply in this example are the
:py:class:`pylo... | 7,252 | 29.220833 | 87 | py |
pylops | pylops-master/examples/plot_pad.py | """
Padding
=======
This example shows how to use the :py:class:`pylops.Pad` operator to zero-pad a
model
"""
import matplotlib.pyplot as plt
import numpy as np
import pylops
plt.close("all")
###############################################################################
# Let's define a pad operator ``Pop`` for one... | 1,387 | 25.188679 | 79 | py |
pylops | pylops-master/examples/plot_avo.py | r"""
AVO modelling
===================
This example shows how to create pre-stack angle gathers using
the :py:class:`pylops.avo.avo.AVOLinearModelling` operator.
"""
import matplotlib.pyplot as plt
import numpy as np
from mpl_toolkits.axes_grid1.axes_divider import make_axes_locatable
from scipy.signal import filtfilt
... | 5,038 | 29.72561 | 87 | py |
pylops | pylops-master/examples/plot_roll.py | """
Roll
====
This example shows how to use the :py:class:`pylops.Roll` operator.
This operator simply shifts elements of multi-dimensional array along a
specified direction a chosen number of samples.
"""
import matplotlib.pyplot as plt
import numpy as np
import pylops
plt.close("all")
############################... | 1,554 | 25.810345 | 79 | py |
pylops | pylops-master/examples/plot_mdc.py | """
Multi-Dimensional Convolution
=============================
This example shows how to use the :py:class:`pylops.waveeqprocessing.MDC` operator
to convolve a 3D kernel with an input seismic data. The resulting data is
a blurred version of the input data and the problem of removing such blurring
is reffered to as *Mu... | 4,199 | 24.609756 | 88 | py |
pylops | pylops-master/examples/plot_stacking.py | """
Operators concatenation
=======================
This example shows how to use 'stacking' operators such as
:py:class:`pylops.VStack`, :py:class:`pylops.HStack`,
:py:class:`pylops.Block`, :py:class:`pylops.BlockDiag`,
and :py:class:`pylops.Kronecker`.
These operators allow for different combinations of multiple li... | 10,054 | 32.741611 | 84 | py |
pylops | pylops-master/examples/plot_prestack.py | r"""
Pre-stack modelling
===================
This example shows how to create pre-stack angle gathers using
the :py:class:`pylops.avo.prestack.PrestackLinearModelling` operator.
"""
import matplotlib.pyplot as plt
import numpy as np
from mpl_toolkits.axes_grid1.axes_divider import make_axes_locatable
from scipy.signal ... | 4,344 | 31.185185 | 84 | py |
pylops | pylops-master/examples/plot_bilinear.py | """
Bilinear Interpolation
======================
This example shows how to use the :py:class:`pylops.signalprocessing.Bilinar`
operator to perform bilinear interpolation to a 2-dimensional input vector.
"""
import matplotlib.pyplot as plt
import numpy as np
from scipy import misc
import pylops
plt.close("all")
np.ra... | 1,982 | 32.05 | 84 | py |
pylops | pylops-master/examples/plot_diagonal.py | r"""
Diagonal
========
This example shows how to use the :py:class:`pylops.Diagonal` operator
to perform *Element-wise multiplication* between the input vector and a vector :math:`\mathbf{d}`.
In other words, the operator acts as a diagonal operator :math:`\mathbf{D}` whose elements along
the diagonal are the element... | 3,237 | 27.156522 | 98 | py |
pylops | pylops-master/docs/source/conf.py | # -*- coding: utf-8 -*-
import sys
import os
import datetime
from sphinx_gallery.sorting import ExampleTitleSortKey
from pylops import __version__
# Sphinx needs to be able to import the package to use autodoc and get the version number
sys.path.insert(0, os.path.abspath("../../pylops"))
extensions = [
"sphinx.ex... | 4,717 | 28.304348 | 89 | py |
pylops | pylops-master/pytests/test_fredholm.py | import numpy as np
import pytest
from numpy.testing import assert_array_almost_equal
from scipy.sparse.linalg import lsqr
from pylops.signalprocessing import Fredholm1
from pylops.utils import dottest
par1 = {
"nsl": 3,
"ny": 6,
"nx": 4,
"nz": 5,
"usematmul": True,
"saveGt": True,
"imag": ... | 2,240 | 20.970588 | 96 | py |
pylops | pylops-master/pytests/test_solver.py | import numpy as np
import pytest
from numpy.testing import assert_array_almost_equal
from scipy.sparse.linalg import lsqr as sp_lsqr
from pylops.basicoperators import MatrixMult
from pylops.optimization.basic import cg, cgls, lsqr
par1 = {
"ny": 11,
"nx": 11,
"imag": 0,
"x0": False,
"dtype": "floa... | 4,695 | 25.382022 | 88 | py |
pylops | pylops-master/pytests/test_pad.py | import numpy as np
import pytest
from numpy.testing import assert_array_equal
from pylops.basicoperators import Pad
from pylops.utils import dottest
par1 = {"ny": 11, "nx": 11, "pad": ((0, 2), (4, 5)), "dtype": "float64"} # square
par2 = {"ny": 21, "nx": 11, "pad": ((3, 1), (0, 3)), "dtype": "float64"} # rectangula... | 1,645 | 30.653846 | 87 | py |
pylops | pylops-master/pytests/test_sparsity.py | import numpy as np
import pytest
from numpy.testing import assert_array_almost_equal
from pylops.basicoperators import FirstDerivative, Identity, MatrixMult
from pylops.optimization.sparsity import fista, irls, ista, omp, spgl1, splitbregman
par1 = {
"ny": 11,
"nx": 11,
"imag": 0,
"x0": False,
"dt... | 10,449 | 24 | 87 | py |
pylops | pylops-master/pytests/test_memoizeoperator.py | import numpy as np
import pytest
from numpy.testing import assert_array_almost_equal
from pylops import MemoizeOperator
from pylops.basicoperators import MatrixMult, VStack
par1 = {"ny": 11, "nx": 11, "imag": 0, "dtype": "float32"} # square real
par1j = {"ny": 11, "nx": 11, "imag": 1j, "dtype": "complex64"} # squar... | 2,334 | 30.986301 | 80 | py |
pylops | pylops-master/pytests/test_combine.py | import numpy as np
import pytest
from numpy.testing import assert_array_almost_equal
from scipy.sparse import random as sp_random
from scipy.sparse.linalg import lsqr
from pylops.basicoperators import Block, BlockDiag, HStack, MatrixMult, Real, VStack
from pylops.utils import dottest
par1 = {"ny": 101, "nx": 101, "im... | 14,453 | 37.339523 | 88 | py |
pylops | pylops-master/pytests/test_smoothing.py | import numpy as np
import pytest
from numpy.testing import assert_array_almost_equal
from scipy.sparse.linalg import lsqr
from pylops.basicoperators import Smoothing1D, Smoothing2D
from pylops.utils import dottest
par1 = {"nz": 10, "ny": 30, "nx": 20, "axis": 0} # even, first direction
par2 = {"nz": 11, "ny": 51, "n... | 4,926 | 34.702899 | 96 | py |
pylops | pylops-master/pytests/test_dwts.py | import numpy as np
import pytest
from numpy.testing import assert_array_almost_equal
from scipy.sparse.linalg import lsqr
from pylops.signalprocessing import DWT, DWT2D
from pylops.utils import dottest
par1 = {"ny": 7, "nx": 9, "nt": 10, "imag": 0, "dtype": "float32"} # real
par2 = {"ny": 7, "nx": 9, "nt": 10, "imag... | 4,860 | 34.742647 | 87 | py |
pylops | pylops-master/pytests/test_sliding.py | import numpy as np
import pytest
from numpy.testing import assert_array_almost_equal
from pylops.basicoperators import MatrixMult
from pylops.signalprocessing import Sliding1D, Sliding2D, Sliding3D
from pylops.signalprocessing.sliding1d import sliding1d_design
from pylops.signalprocessing.sliding2d import sliding2d_de... | 4,013 | 25.064935 | 88 | py |
pylops | pylops-master/pytests/test_signalutils.py | import numpy as np
import pytest
from numpy.testing import assert_array_almost_equal
from pylops.utils.signalprocessing import convmtx, nonstationary_convmtx
par1 = {"nt": 51, "imag": 0, "dtype": "float32"} # real
par2 = {"nt": 51, "imag": 1j, "dtype": "complex64"} # complex
np.random.seed(10)
@pytest.mark.param... | 1,370 | 25.882353 | 75 | py |
pylops | pylops-master/pytests/test_twoway.py | import devito
import numpy as np
from pylops.utils import dottest
from pylops.waveeqprocessing.twoway import AcousticWave2D
devito.configuration["log-level"] = "ERROR"
par = {
"ny": 10,
"nx": 12,
"nz": 20,
"tn": 500,
"dy": 3,
"dx": 1,
"dz": 2,
"nr": 8,
"ns": 2,
}
v0 = 2
y = np.a... | 1,034 | 18.166667 | 86 | py |
pylops | pylops-master/pytests/test_patching.py | import numpy as np
import pytest
from numpy.testing import assert_array_almost_equal
from pylops.basicoperators import MatrixMult
from pylops.signalprocessing import Patch2D, Patch3D
from pylops.signalprocessing.patch2d import patch2d_design
from pylops.signalprocessing.patch3d import patch3d_design
from pylops.utils ... | 5,060 | 25.222798 | 83 | py |
pylops | pylops-master/pytests/test_linearoperator.py | import numpy as np
import pytest
from numpy.testing import assert_array_almost_equal, assert_array_equal
from scipy.sparse.linalg import LinearOperator as spLinearOperator
import pylops
from pylops import LinearOperator
from pylops.basicoperators import (
Diagonal,
FirstDerivative,
HStack,
MatrixMult,
... | 11,395 | 29.883469 | 87 | py |
pylops | pylops-master/pytests/test_functionoperator.py | """
test_functionoperator.py
Test module for FunctionOperator. Tests 32 and 64 bit float and complex number
by wrapping a matrix multiplication as a FunctionOperator.
Also provides a good starting point for new tests.
"""
import itertools
import numpy as np
import pytest
from numpy.testing import assert_array_almost_... | 3,293 | 28.150442 | 85 | py |
pylops | pylops-master/pytests/test_chirpradon.py | import pytest
from numpy.testing import assert_array_almost_equal
from pylops.optimization.sparsity import fista
from pylops.signalprocessing import ChirpRadon2D, ChirpRadon3D
from pylops.utils import dottest
from pylops.utils.seismicevents import linear2d, linear3d, makeaxis
from pylops.utils.wavelets import ricker
... | 3,206 | 21.117241 | 85 | py |
pylops | pylops-master/pytests/test_leastsquares.py | import numpy as np
import pytest
from numpy.testing import assert_array_almost_equal
from pylops.basicoperators import Diagonal, HStack, Identity, MatrixMult, Smoothing1D
from pylops.optimization.leastsquares import (
normal_equations_inversion,
preconditioned_inversion,
regularized_inversion,
)
par1 = {
... | 7,592 | 29.616935 | 85 | py |
pylops | pylops-master/pytests/test_basicoperators.py | import numpy as np
import pytest
from numpy.testing import assert_array_almost_equal, assert_array_equal
from scipy.sparse import rand
from scipy.sparse.linalg import lsqr
from pylops.basicoperators import (
Conj,
Flip,
Identity,
Imag,
LinearRegression,
MatrixMult,
Real,
Regression,
... | 18,151 | 31.588869 | 91 | py |
pylops | pylops-master/pytests/test_kronecker.py | import numpy as np
import pytest
from numpy.testing import assert_array_almost_equal, assert_array_equal
from scipy.sparse.linalg import lsqr
from pylops.basicoperators import FirstDerivative, Identity, Kronecker, MatrixMult
from pylops.utils import dottest
par1 = {"ny": 11, "nx": 11, "imag": 0, "dtype": "float64"} ... | 2,270 | 37.491525 | 89 | py |
pylops | pylops-master/pytests/test_interpolation.py | import numpy as np
import pytest
from numpy.testing import assert_array_almost_equal
from pylops.signalprocessing import Bilinear, Interp
from pylops.utils import dottest
par1 = {
"ny": 21,
"nx": 11,
"nt": 20,
"imag": 0,
"dtype": "float64",
"kind": "nearest",
} # real, nearest
par2 = {
"n... | 12,425 | 26.30989 | 88 | py |
pylops | pylops-master/pytests/test_lsm.py | import numpy as np
import pytest
from numpy.testing import assert_array_almost_equal
from pylops.utils.wavelets import ricker
from pylops.waveeqprocessing.lsm import LSM
PAR = {
"ny": 10,
"nx": 12,
"nz": 20,
"nt": 50,
"dy": 3,
"dx": 1,
"dz": 2,
"dt": 0.004,
"nsy": 4,
"nry": 8,
... | 2,867 | 27.969697 | 82 | py |
pylops | pylops-master/pytests/test_marchenko.py | import numpy as np
import pytest
from scipy.signal import convolve
from pylops.waveeqprocessing.marchenko import Marchenko
# Test data
inputfile = "testdata/marchenko/input.npz"
# Parameters
vel = 2400.0 # velocity
toff = 0.045 # direct arrival time shift
nsmooth = 10 # time window smoothing
nfmax = 1000 # max f... | 5,231 | 28.066667 | 87 | py |
pylops | pylops-master/pytests/test_directwave.py | import numpy as np
from numpy.testing import assert_array_almost_equal
from scipy.signal import convolve
from pylops.waveeqprocessing.marchenko import directwave
# Test data
inputfile2d = "testdata/marchenko/input.npz"
inputfile3d = "testdata/marchenko/direct3D.npz"
# Parameters
vel = 2400.0 # velocity
def test_d... | 2,266 | 24.188889 | 80 | py |
pylops | pylops-master/pytests/test_waveeqprocessing.py | import numpy as np
import pytest
from numpy.testing import assert_array_almost_equal
from pylops.utils import dottest
from pylops.utils.seismicevents import linear2d, linear3d, makeaxis
from pylops.utils.wavelets import ricker
from pylops.waveeqprocessing.mdd import MDC, MDD
PAR = {
"ox": 0,
"dx": 2,
"nx"... | 6,650 | 25.604 | 85 | py |
pylops | pylops-master/pytests/test_convolve.py | import numpy as np
import pytest
from numpy.testing import assert_array_almost_equal
from scipy.signal.windows import triang
from scipy.sparse.linalg import lsqr
from pylops.signalprocessing import Convolve1D, Convolve2D, ConvolveND
from pylops.utils import dottest
# filters
nfilt = (5, 6, 5)
h1 = triang(nfilt[0], sy... | 7,491 | 26.645756 | 93 | py |
pylops | pylops-master/pytests/test_wavelets.py | import numpy as np
import pytest
from pylops.utils.wavelets import gaussian, klauder, ormsby, ricker
par1 = {"nt": 21, "dt": 0.004} # odd samples
par2 = {"nt": 20, "dt": 0.004} # even samples
@pytest.mark.parametrize("par", [(par1), (par2)])
def test_gaussian(par):
"""Create gaussian wavelet and check size an... | 1,923 | 36 | 87 | py |
pylops | pylops-master/pytests/test_avo.py | import numpy as np
import pytest
from numpy.testing import assert_array_almost_equal
from scipy.signal import filtfilt
from scipy.sparse.linalg import lsqr
from pylops.avo.avo import (
akirichards,
approx_zoeppritz_pp,
fatti,
zoeppritz_element,
zoeppritz_pp,
zoeppritz_scattering,
)
from pylops.... | 4,526 | 32.533333 | 88 | py |
pylops | pylops-master/pytests/test_seismicevents.py | import numpy as np
import pytest
from numpy.testing import assert_array_equal
from pylops.utils.seismicevents import (
hyperbolic2d,
hyperbolic3d,
linear2d,
linear3d,
makeaxis,
parabolic2d,
)
from pylops.utils.wavelets import ricker
# Wavelet
wav = ricker(np.arange(41) * 0.004, f0=10)[0]
par1... | 6,630 | 23.742537 | 80 | py |
pylops | pylops-master/pytests/test_dct.py | import numpy as np
import pytest
from pylops.signalprocessing import DCT
from pylops.utils import dottest
par1 = {"ny": 11, "nx": 11, "imag": 0, "dtype": "float64"}
par2 = {"ny": 11, "nx": 21, "imag": 0, "dtype": "float64"}
par3 = {"ny": 21, "nx": 21, "imag": 0, "dtype": "float64"}
@pytest.mark.parametrize("par", [... | 2,438 | 29.4875 | 86 | py |
pylops | pylops-master/pytests/test_seismicinterpolation.py | # import multiprocessing
import numpy as np
import pytest
from pylops.basicoperators import Restriction
from pylops.utils.seismicevents import linear2d, linear3d, makeaxis
from pylops.utils.wavelets import ricker
from pylops.waveeqprocessing.seismicinterpolation import SeismicInterpolation
np.random.seed(5)
# avoid... | 4,790 | 23.823834 | 85 | py |
pylops | pylops-master/pytests/test_blending.py | import numpy as np
import pytest
from pylops.utils import dottest
from pylops.waveeqprocessing import BlendingContinuous, BlendingGroup, BlendingHalf
par = {"nt": 101, "ns": 50, "nr": 20, "dtype": "float64"}
d = np.random.normal(0, 1, (par["ns"], par["nr"], par["nt"]))
dt = 0.004
@pytest.mark.parametrize("par", [(... | 2,175 | 24.011494 | 83 | py |
pylops | pylops-master/pytests/test_prestack.py | import numpy as np
import pytest
from numpy.testing import assert_array_almost_equal
from scipy.signal import filtfilt
from pylops.avo.prestack import (
PrestackInversion,
PrestackLinearModelling,
PrestackWaveletModelling,
_linearizations,
)
from pylops.utils import dottest
from pylops.utils.wavelets i... | 9,847 | 24.512953 | 88 | py |
pylops | pylops-master/pytests/test_seislet.py | import numpy as np
import pytest
from numpy.testing import assert_array_almost_equal
from pylops.basicoperators import FunctionOperator
from pylops.signalprocessing import Seislet
from pylops.signalprocessing.seislet import _predict_haar, _predict_lin, _predict_trace
from pylops.utils import dottest
par1 = {
"nx"... | 3,456 | 27.808333 | 88 | py |
pylops | pylops-master/pytests/test_poststack.py | import numpy as np
import pytest
from numpy.testing import assert_array_almost_equal
from scipy.signal import filtfilt
from pylops.avo.poststack import PoststackInversion, PoststackLinearModelling
from pylops.utils import dottest
from pylops.utils.wavelets import ricker
np.random.seed(10)
# params
dt0 = 0.004
ntwav ... | 6,020 | 28.370732 | 88 | py |
pylops | pylops-master/pytests/test_causalintegration.py | import itertools
import numpy as np
import pytest
from numpy.testing import assert_array_almost_equal
from pylops.basicoperators import CausalIntegration, FirstDerivative
from pylops.utils import dottest
par1 = {
"nt": 20,
"nx": 101,
"dt": 1.0,
"imag": 0,
"dtype": "float64",
} # even samples, re... | 4,999 | 27.248588 | 86 | py |
pylops | pylops-master/pytests/test_ffts.py | import itertools
import numpy as np
import pytest
from numpy.testing import assert_array_almost_equal
from scipy.sparse.linalg import lsqr
from pylops.signalprocessing import FFT, FFT2D, FFTND
from pylops.utils import dottest
# Utility function
def _choose_random_axes(ndim, n_choices=2):
"""Chooses `n_choices` ... | 45,216 | 29.801771 | 109 | py |
pylops | pylops-master/pytests/test_eigs.py | import numpy as np
import pytest
from pylops.basicoperators import MatrixMult
from pylops.optimization.eigs import power_iteration
par1 = {"n": 21, "imag": 0, "dtype": "float32"} # square, real
par2 = {"n": 21, "imag": 1j, "dtype": "complex64"} # square, complex
@pytest.mark.parametrize("par", [(par1), (par2)])
d... | 981 | 27.882353 | 82 | py |
pylops | pylops-master/pytests/test_oneway.py | import numpy as np
import pytest
from pylops.basicoperators import Identity
from pylops.utils import dottest
from pylops.utils.seismicevents import hyperbolic2d, makeaxis
from pylops.utils.wavelets import ricker
from pylops.waveeqprocessing.oneway import Deghosting, PhaseShift
np.random.seed(10)
parmod = {
"ox":... | 3,008 | 26.108108 | 87 | py |
pylops | pylops-master/pytests/test_transpose.py | import numpy as np
import pytest
from numpy.testing import assert_equal
from pylops.basicoperators import Transpose
from pylops.utils import dottest
par1 = {"ny": 21, "nx": 11, "nt": 20, "imag": 0, "dtype": "float64"} # real
par2 = {"ny": 21, "nx": 11, "nt": 20, "imag": 1j, "dtype": "complex128"} # complex
np.rand... | 1,640 | 28.303571 | 83 | py |
pylops | pylops-master/pytests/test_metrics.py | import numpy as np
import pytest
from pylops.utils.metrics import mae, mse, psnr, snr
par1 = {"nx": 11, "dtype": "float64"} # float64
par2 = {"nx": 11, "dtype": "float32"} # float32
@pytest.mark.parametrize("par", [(par1), (par2)])
def test_mae(par):
"""Check MAE with same vector and vector of zeros"""
xr... | 1,435 | 24.642857 | 57 | py |
pylops | pylops-master/pytests/test_tapers.py | import numpy as np
import pytest
from numpy.testing import assert_array_equal
from pylops.utils.tapers import taper2d, taper3d
par1 = {
"nt": 21,
"nspat": (11, 13),
"ntap": (3, 5),
"tapertype": "hanning",
} # hanning, odd samples and taper
par2 = {
"nt": 20,
"nspat": (12, 16),
"ntap": (4,... | 2,076 | 29.101449 | 81 | py |
pylops | pylops-master/pytests/test_radon.py | import multiprocessing
import numpy as np
import pytest
from numpy.testing import assert_array_almost_equal
from pylops.optimization.sparsity import fista
from pylops.signalprocessing import Radon2D, Radon3D
from pylops.utils import dottest
par1 = {
"nt": 11,
"nhx": 21,
"nhy": 10,
"npx": 21,
"npy... | 5,828 | 23.389121 | 82 | py |
pylops | pylops-master/pytests/test_describe.py | import numpy as np
from pylops.basicoperators import BlockDiag, Diagonal, HStack, MatrixMult
from pylops.utils.describe import describe
def test_describe():
"""Testing the describe method. As it is is difficult to verify that the
output is correct, at this point we merely test that no error arises when
a... | 827 | 21.378378 | 77 | py |
pylops | pylops-master/pytests/test_estimators.py | import numpy as np
import pytest
from numpy.testing import assert_almost_equal
from pylops.basicoperators import MatrixMult
SAMPLERS = ["gaussian", "rayleigh", "rademacher", "unitvector"]
DTYPES = ["float32", "float64"]
pars_hutchinson = [
{"n": 100, "dtype": dtype, "sampler": sampler}
for dtype in DTYPES
... | 2,702 | 26.03 | 63 | py |
pylops | pylops-master/pytests/test_nonstatconvolve.py | import numpy as np
import pytest
from numpy.testing import assert_array_almost_equal
from scipy.signal.windows import triang
from scipy.sparse.linalg import lsqr
from pylops.signalprocessing import (
Convolve1D,
Convolve2D,
NonStationaryConvolve1D,
NonStationaryConvolve2D,
NonStationaryFilters1D,
... | 8,753 | 30.489209 | 93 | py |
pylops | pylops-master/pytests/test_derivative.py | import numpy as np
import pytest
from numpy.testing import assert_array_almost_equal, assert_array_equal
from pylops.basicoperators import (
FirstDerivative,
FirstDirectionalDerivative,
Gradient,
Laplacian,
SecondDerivative,
SecondDirectionalDerivative,
)
from pylops.utils import dottest
par1 ... | 21,044 | 27.248322 | 88 | py |
pylops | pylops-master/pytests/test_torchoperator.py | import numpy as np
import pytest
import torch
from numpy.testing import assert_array_equal
from pylops import MatrixMult, TorchOperator
par1 = {"ny": 11, "nx": 11, "dtype": np.float32} # square
par2 = {"ny": 21, "nx": 11, "dtype": np.float32} # overdetermined
np.random.seed(0)
@pytest.mark.parametrize("par", [(p... | 2,110 | 29.157143 | 88 | py |
pylops | pylops-master/pytests/test_diagonal.py | import numpy as np
import pytest
from numpy.testing import assert_array_almost_equal
from scipy.sparse.linalg import lsqr as sp_lsqr
from pylops.basicoperators import Diagonal
from pylops.optimization.basic import lsqr
from pylops.utils import dottest
par1 = {"ny": 21, "nx": 11, "nt": 20, "imag": 0, "dtype": "float32... | 4,591 | 36.950413 | 104 | py |
pylops | pylops-master/pytests/test_wavedecomposition.py | import numpy as np
import pytest
from pylops.utils.seismicevents import hyperbolic2d, hyperbolic3d, makeaxis
from pylops.utils.wavelets import ricker
from pylops.waveeqprocessing.wavedecomposition import (
PressureToVelocity,
UpDownComposition2D,
UpDownComposition3D,
WavefieldDecomposition,
)
# params... | 5,596 | 27.125628 | 87 | py |
pylops | pylops-master/pytests/test_shift.py | import numpy as np
import pytest
from numpy.testing import assert_array_almost_equal
from scipy.sparse.linalg import lsqr
from pylops.signalprocessing import Shift
from pylops.utils import dottest
from pylops.utils.wavelets import gaussian
par1 = {"nt": 41, "nx": 41, "ny": 11, "imag": 0, "dtype": "float64"} # square... | 4,466 | 28.196078 | 97 | py |
pylops | pylops-master/pytests/test_restriction.py | import numpy as np
import pytest
from numpy.testing import assert_array_almost_equal
from pylops.basicoperators import Restriction
from pylops.utils import dottest
par1 = {
"ny": 21,
"nx": 11,
"nt": 20,
"imag": 0,
"dtype": "float64",
"inplace": "True",
} # real, inplace
par2 = {
"ny": 21,... | 6,129 | 28.190476 | 87 | py |
pylops | pylops-master/pytests/test_kirchhoff.py | import numpy as np
import pytest
from numpy.testing import assert_array_almost_equal
from pylops.utils import dottest
from pylops.utils.wavelets import ricker
from pylops.waveeqprocessing.kirchhoff import Kirchhoff
PAR = {
"ny": 3,
"nx": 12,
"nz": 20,
"nt": 50,
"dy": 3,
"dx": 1,
"dz": 2,
... | 10,879 | 25.280193 | 92 | py |
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