replace SimPEG import with simpeg

geoscilabs/dcip/DCIP_overburden_PseudoSection.py

@@ -25,10 +25,10 @@
 
 from discretize import TensorMesh
 
-from SimPEG import maps, SolverLU, utils
-from SimPEG.utils import extract_core_mesh
-from SimPEG.electromagnetics.static import resistivity as DC
-from SimPEG.electromagnetics.static import induced_polarization as IP
+from simpeg import maps, SolverLU, utils
+from simpeg.utils import extract_core_mesh
+from simpeg.electromagnetics.static import resistivity as DC
+from simpeg.electromagnetics.static import induced_polarization as IP
 from pymatsolver import Pardiso
 
 from ..base import widgetify

geoscilabs/dcip/DCLayers.py

@@ -9,7 +9,7 @@
 
 from discretize import TensorMesh
 
-from SimPEG import maps, utils
+from simpeg import maps, utils
 from pymatsolver import Pardiso
 
 from ..base import widgetify
@@ -153,7 +153,7 @@ def rho_a(VM, VN, A, B, M, N):
 
 def solve_2D_potentials(rho1, rho2, h, A, B):
     """
-    Here we solve the 2D DC problem for potentials (using SimPEG Mesg Class)
+    Here we solve the 2D DC problem for potentials (using simpeg Mesg Class)
     """
     sigma = 1.0 / rho2 * np.ones(mesh.nC)
     sigma[mesh.gridCC[:, 1] >= -h] = 1.0 / rho1  # since the model is 2D

geoscilabs/dcip/DCWidgetPlate2_5D.py

@@ -15,9 +15,9 @@
 from pymatsolver import Pardiso
 
 from discretize import TensorMesh
-from SimPEG import maps, SolverLU, utils
-from SimPEG.utils import extract_core_mesh
-from SimPEG.electromagnetics.static import resistivity as DC
+from simpeg import maps, SolverLU, utils
+from simpeg.utils import extract_core_mesh
+from simpeg.electromagnetics.static import resistivity as DC
 from ..base import widgetify
 
 # Mesh, mapping can be globals global
@@ -272,7 +272,7 @@ def sumPlateCharges(xc, zc, dx, dz, rotAng, qSecondary):
     return qPosSum, qNegSum, qPosAvgLoc, qNegAvgLoc
 
 
-# The only thing we need to make it work is a 2.5D field object in SimPEG
+# The only thing we need to make it work is a 2.5D field object in simpeg
 
 
 def getSensitivity(survey, A, B, M, N, model):

geoscilabs/dcip/DCWidgetPlate_2D.py

@@ -14,9 +14,9 @@
 from pymatsolver import Pardiso
 
 from discretize import TensorMesh
-from SimPEG import maps, SolverLU, utils
-from SimPEG.utils import extract_core_mesh
-from SimPEG.electromagnetics.static import resistivity as DC
+from simpeg import maps, SolverLU, utils
+from simpeg.utils import extract_core_mesh
+from simpeg.electromagnetics.static import resistivity as DC
 
 from ..base import widgetify
 

geoscilabs/dcip/DCWidgetResLayer2D.py

@@ -1,8 +1,8 @@
 from discretize import TensorMesh
-from SimPEG import maps, SolverLU, utils
-from SimPEG.utils import extract_core_mesh
+from simpeg import maps, SolverLU, utils
+from simpeg.utils import extract_core_mesh
 import numpy as np
-from SimPEG.electromagnetics.static import resistivity as DC
+from simpeg.electromagnetics.static import resistivity as DC
 import matplotlib
 import matplotlib.pyplot as plt
 import matplotlib.pylab as pylab

geoscilabs/dcip/DCWidgetResLayer2_5D.py

@@ -10,9 +10,9 @@
 from matplotlib.path import Path
 import matplotlib.patches as patches
 
-from SimPEG import maps, SolverLU, utils
-from SimPEG.utils import extract_core_mesh
-from SimPEG.electromagnetics.static import resistivity as DC
+from simpeg import maps, SolverLU, utils
+from simpeg.utils import extract_core_mesh
+from simpeg.electromagnetics.static import resistivity as DC
 from pymatsolver import Pardiso
 
 from discretize import TensorMesh
@@ -331,7 +331,7 @@ def sumCylinderCharges(xc, zc, r, qSecondary):
     return qPosSum, qNegSum, qPosAvgLoc, qNegAvgLoc
 
 
-# The only thing we need to make it work is a 2.5D field object in SimPEG
+# The only thing we need to make it work is a 2.5D field object in simpeg
 
 
 def getSensitivity(survey, A, B, M, N, model):

geoscilabs/dcip/DCWidget_Overburden_2_5D.py

@@ -21,9 +21,9 @@
 )
 
 from discretize import TensorMesh
-from SimPEG import maps, utils
-from SimPEG.utils import extract_core_mesh
-from SimPEG.electromagnetics.static import resistivity as DC
+from simpeg import maps, utils
+from simpeg.utils import extract_core_mesh
+from simpeg.electromagnetics.static import resistivity as DC
 
 from pymatsolver import Pardiso
 

geoscilabs/dcip/DC_Pseudosections.py

@@ -20,10 +20,10 @@
 from discretize import TensorMesh
 from pymatsolver import Pardiso
 
-from SimPEG import maps, SolverLU, utils
-from SimPEG.electromagnetics.static import resistivity as DC
-from SimPEG.maps import IdentityMap
-from SimPEG.electromagnetics.static.utils import static_utils
+from simpeg import maps, SolverLU, utils
+from simpeg.electromagnetics.static import resistivity as DC
+from simpeg.maps import IdentityMap
+from simpeg.electromagnetics.static.utils import static_utils
 
 from ..base import widgetify
 
@@ -248,7 +248,7 @@ def PseudoSectionPlotfnc(i, j, survey, flag="PoleDipole"):
 
     :param int i: source index
     :param int j: receiver index
-    :param SimPEG.survey survey: SimPEG survey object
+    :param simpeg.survey survey: simpeg survey object
     :param str flag: Survey Type 'PoleDipole', 'DipoleDipole', 'DipolePole'
     """
     matplotlib.rcParams["font.size"] = 14
@@ -436,7 +436,7 @@ def PseudoSectionWidget(survey, flag):
     associated with a particular survey
     for each pair source-receiver
 
-    :param SimPEG.survey survey: Survey object
+    :param simpeg.survey survey: Survey object
     :param str flag: Survey Type 'PoleDipole', 'DipoleDipole', 'DipolePole'
     """
     dx = 5
@@ -496,8 +496,8 @@ def DC2Dfwdfun(
     over a known geological model
 
     :param TensorMesh mesh: discretization of the model
-    :param SimPEG.Simulation sim: simulation object
-    :param SimPEG.SigmaMap mapping: sigmamap of the model
+    :param simpeg.Simulation sim: simulation object
+    :param simpeg.SigmaMap mapping: sigmamap of the model
     :param numpy.array xr: electrodes positions
     :param numpy.array xzlocs: pseudolocations
     :param float rhohalf: Resistivity of the half-space

geoscilabs/dcip/DC_cylinder.py

@@ -10,9 +10,9 @@
 from pymatsolver import Pardiso
 from discretize import TensorMesh
 
-from SimPEG import maps, utils
-from SimPEG.utils import extract_core_mesh, mkvc
-from SimPEG.electromagnetics.static import resistivity as DC
+from simpeg import maps, utils
+from simpeg.utils import extract_core_mesh, mkvc
+from simpeg.electromagnetics.static import resistivity as DC
 
 from ipywidgets import interact, IntSlider, FloatSlider, FloatText, ToggleButtons, BoundedFloatText
 

geoscilabs/dcip/sphereElectrostatic_example.py

@@ -3,7 +3,7 @@
 import matplotlib.pyplot as plt
 import matplotlib.colors as colors
 
-from SimPEG.utils import ndgrid, mkvc
+from simpeg.utils import ndgrid, mkvc
 
 """
 Authors: Thibaut Astic, Lindsey Heagy, Sanna Tyrvainen, Ronghua Peng

geoscilabs/em/BiotSavart.py

@@ -1,6 +1,6 @@
 import numpy as np
 import scipy.sparse as sp
-from SimPEG import utils
+from simpeg import utils
 from scipy.constants import mu_0
 
 

geoscilabs/em/DipoleWidget1D.py

@@ -1,5 +1,5 @@
 import numpy as np
-from SimPEG import electromagnetics as EM
+from simpeg import electromagnetics as EM
 import matplotlib.pyplot as plt
 import matplotlib.ticker as ticker
 import matplotlib
@@ -8,7 +8,7 @@
 from ipywidgets import ToggleButtons, FloatSlider
 
 from geoscilabs.base import widgetify
-from SimPEG.view import DataView
+from simpeg.view import DataView
 
 matplotlib.rcParams["font.size"] = 12
 

geoscilabs/em/DipoleWidgetFD.py

@@ -1,6 +1,6 @@
 import numpy as np
 
-# from SimPEG.electromagnetics import frequency_domain as EM
+# from simpeg.electromagnetics import frequency_domain as EM
 import matplotlib.pyplot as plt
 import matplotlib.ticker as ticker
 import matplotlib

geoscilabs/em/FDEMDipolarfields.py

@@ -1,7 +1,7 @@
 import numpy as np
 from scipy.constants import mu_0, pi, epsilon_0
 from scipy.special import erf
-from SimPEG import utils
+from simpeg import utils
 
 
 def omega(f):

geoscilabs/em/FDEMPlanewave.py

@@ -1,6 +1,6 @@
 import numpy as np
 from scipy.constants import mu_0, pi, epsilon_0
-from SimPEG import utils
+from simpeg import utils
 
 
 def omega(f):

geoscilabs/em/HarmonicVMDCylWidget.py

@@ -1,7 +1,7 @@
 from ipywidgets import widgets
 from discretize import CylindricalMesh, TensorMesh
-from SimPEG import maps, utils
-from SimPEG.electromagnetics import frequency_domain as fdem
+from simpeg import maps, utils
+from simpeg.electromagnetics import frequency_domain as fdem
 from pymatsolver import Pardiso
 
 # from pymatsolver import PardisoSolver

geoscilabs/em/PlanewaveWidgetFD.py

@@ -1,5 +1,5 @@
 import numpy as np
-from SimPEG.electromagnetics.utils import waveform_utils
+from simpeg.electromagnetics.utils import waveform_utils
 import matplotlib.pyplot as plt
 import matplotlib.ticker as ticker
 import matplotlib

geoscilabs/em/TDEMDipolarfields.py

@@ -2,7 +2,7 @@
 from scipy.constants import mu_0, pi, epsilon_0
 from scipy.special import erfc, erf
 from discretize.utils import as_array_n_by_dim
-from SimPEG import utils
+from simpeg import utils
 
 # TODO:
 # r = lambda dx, dy, dz: np.sqrt( dx**2. + dy**2. + dz**2.)

geoscilabs/em/TDEMGroundedSource.py

@@ -3,7 +3,7 @@
 import matplotlib.pyplot as plt
 import deepdish as dd
 from discretize import TensorMesh
-from SimPEG import utils
+from simpeg import utils
 import tarfile
 import os
 
@@ -83,11 +83,11 @@ def choose_model(model):
 
 
 def run_simulation(fname="tdem_gs_half.h5", sigma_block=0.01, sigma_halfspace=0.01):
-    from SimPEG.electromagnetics import time_domain as tdem
-    from SimPEG.electromagnetics.utils import waveform_utils
+    from simpeg.electromagnetics import time_domain as tdem
+    from simpeg.electromagnetics.utils import waveform_utils
     from scipy.constants import mu_0
     import numpy as np
-    from SimPEG import maps, utils
+    from simpeg import maps, utils
     from pymatsolver import Pardiso
 
     cs = 20

geoscilabs/em/TDEMHorizontalLoopCylWidget.py

@@ -1,7 +1,7 @@
 from ipywidgets import widgets, FloatText
 from discretize import TensorMesh, CylindricalMesh
-from SimPEG import maps, utils
-from SimPEG.electromagnetics import time_domain as tdem
+from simpeg import maps, utils
+from simpeg.electromagnetics import time_domain as tdem
 
 # from pymatsolver import PardisoSolver
 import matplotlib.pyplot as plt

geoscilabs/em/TDEMInductiveSource.py

@@ -2,7 +2,7 @@
 import matplotlib.pyplot as plt
 import deepdish as dd
 from discretize import TensorMesh
-from SimPEG import utils
+from simpeg import utils
 import tarfile
 import os
 
@@ -67,10 +67,10 @@ def choose_source(src_type):
 
 
 def run_simulation(fname="tdem_vmd.h5", sigma_halfspace=0.01, src_type="VMD"):
-    from SimPEG.electromagnetics import time_domain
+    from simpeg.electromagnetics import time_domain
     from scipy.constants import mu_0
     import numpy as np
-    from SimPEG import maps
+    from simpeg import maps
     from pymatsolver import Pardiso
 
     cs = 20.0

geoscilabs/em/TDEMPlanewave.py

@@ -1,6 +1,6 @@
 import numpy as np
 from scipy.constants import mu_0, pi, epsilon_0
-from SimPEG import utils
+from simpeg import utils
 
 
 def e_field_from_sheet_current(

geoscilabs/em/UXO_TEM_Widget.py

@@ -1,6 +1,6 @@
 import numpy as np
 from scipy.sparse import linalg
-from SimPEG import mkvc
+from simpeg import mkvc
 import scipy.optimize as op
 from ..base import widgetify
 from ipywidgets import (

geoscilabs/inversion/LinearInversionCG.py

@@ -1,14 +1,14 @@
 import numpy as np
 import discretize
-from SimPEG.simulation import LinearSimulation
-from SimPEG.survey import LinearSurvey
-from SimPEG.data import Data
-from SimPEG import data_misfit
-from SimPEG import directives
-from SimPEG import optimization
-from SimPEG import regularization
-from SimPEG import inverse_problem
-from SimPEG import inversion
+from simpeg.simulation import LinearSimulation
+from simpeg.survey import LinearSurvey
+from simpeg.data import Data
+from simpeg import data_misfit
+from simpeg import directives
+from simpeg import optimization
+from simpeg import regularization
+from simpeg import inverse_problem
+from simpeg import inversion
 import matplotlib.pyplot as plt
 import matplotlib.gridspec as gridspec
 

geoscilabs/inversion/LinearInversionDirect.py

@@ -1,6 +1,6 @@
 import numpy as np
 from discretize import TensorMesh
-from SimPEG import (
+from simpeg import (
     maps,
     simulation,
     survey,

geoscilabs/inversion/TomographyInversion.py

@@ -1,6 +1,6 @@
 import numpy as np
 from discretize import TensorMesh
-from SimPEG import (
+from simpeg import (
     maps,
     utils,
     simulation,
@@ -28,7 +28,7 @@
     SelectMultiple,
 )
 import ipywidgets as widgets
-import SimPEG.seismic.straight_ray_tomography as seismic
+import simpeg.seismic.straight_ray_tomography as seismic
 from pylab import hist
 
 

geoscilabs/mag/Mag.py

@@ -2,8 +2,8 @@
 from scipy.constants import mu_0
 import re
 import numpy as np
-from SimPEG import utils, data
-from SimPEG.potential_fields import magnetics as mag
+from simpeg import utils, data
+from simpeg.potential_fields import magnetics as mag
 
 
 class Simulation(object):
@@ -316,7 +316,7 @@ def Intrgl_Fwr_Op(xn, yn, zn, rxLoc):
 
 def createMagSurvey(xyzd, B):
     """
-        Create SimPEG magnetic survey pbject
+        Create simpeg magnetic survey pbject
 
         INPUT
         :param array: xyzd, n-by-4 array of observation points and data