copy docs badges from readme to docs index

.travis.yml

@@ -1,7 +1,6 @@
 language: python
 python:
   - 2.7
-  - 3.4
 
 sudo: false
 
@@ -39,7 +38,7 @@ before_install:
     -O miniconda.sh; fi
   - chmod +x miniconda.sh
   - ./miniconda.sh -b
-  - export PATH=/home/travis/anaconda/bin:/home/travis/anaconda3/bin:/home/travis/miniconda/bin:/home/travis/miniconda3/bin:$PATH
+  - export PATH=/home/travis/anaconda/bin:/home/travis/miniconda/bin:$PATH
   - conda update --yes conda
 
 install:

README.rst

@@ -21,17 +21,20 @@ SimPEG
     :target: https://travis-ci.org/simpeg/simpeg
     :alt: Travis CI build status
 
-.. image:: https://img.shields.io/coveralls/simpeg/simpeg.svg
-    :target: https://coveralls.io/r/simpeg/simpeg?branch=master
-    :alt: Coverage status
-
 .. image:: http://img.shields.io/badge/GITTER-JOIN_CHAT-brightgreen.svg?style=flat-square
     :alt: gitter chat room at https://gitter.im/simpeg/simpeg
     :target: https://gitter.im/simpeg/simpeg
 
 .. image:: https://codecov.io/gh/simpeg/simpeg/branch/master/graph/badge.svg
-  :target: https://codecov.io/gh/simpeg/simpeg
+    :target: https://codecov.io/gh/simpeg/simpeg
 
+.. image:: https://www.quantifiedcode.com/api/v1/project/933aa3decf444538aa432c8817169b6d/badge.svg
+    :target: https://www.quantifiedcode.com/app/project/933aa3decf444538aa432c8817169b6d
+    :alt: Code issues
+
+.. image:: https://api.codacy.com/project/badge/Grade/4fc959a5294a418fa21fc7bc3b3aa078
+    :target: https://www.codacy.com/app/lindseyheagy/simpeg?utm_source=github.com&utm_medium=referral&utm_content=simpeg/simpeg&utm_campaign=Badge_Grade
+    :alt: codacy
 
 Simulation and Parameter Estimation in Geophysics  -  A python package for simulation and gradient based parameter estimation in the context of geophysical applications.
 

SimPEG/DCIP/BaseDC.py

@@ -1,11 +1,3 @@
-from __future__ import division
-from __future__ import unicode_literals
-from __future__ import print_function
-from __future__ import absolute_import
-from builtins import super
-from future import standard_library
-standard_library.install_aliases()
-from builtins import range
 from SimPEG import *
 
 class FieldsDC_CC(Problem.Fields):
@@ -69,7 +61,7 @@ class SrcDipole(Survey.BaseSrc):
         pts = [self.loc[0], self.loc[1]]
         inds = Utils.closestPoints(prob.mesh, pts)
         q = np.zeros(prob.mesh.nC)
-        q[inds] = - self.current * (np.r_[1., -1.] / prob.mesh.vol[inds])
+        q[inds] = - self.current * ( np.r_[1., -1.] / prob.mesh.vol[inds] )
         # self._rhsDict[mesh] = q
         # return self._rhsDict[mesh]
         return q

SimPEG/DCIP/BaseIP.py

@@ -1,12 +1,5 @@
-from __future__ import absolute_import
-from __future__ import division
-from __future__ import unicode_literals
-from __future__ import print_function
-from future import standard_library
-standard_library.install_aliases()
-from builtins import range
 from SimPEG import *
-from .BaseDC import SurveyDC, FieldsDC_CC
+from BaseDC import SurveyDC, FieldsDC_CC
 
 class SurveyIP(SurveyDC):
     """
@@ -59,7 +52,7 @@ class ProblemIP(Problem.BaseProblem):
             # sigma = self.curModel.transform
             sigma = self.sigma
             Av = self.mesh.aveF2CC
-            self._Msig = Utils.sdiag(1//(self.mesh.dim * Av.T * (1/sigma)))
+            self._Msig = Utils.sdiag(1/(self.mesh.dim * Av.T * (1/sigma)))
         return self._Msig
 
     @property

SimPEG/DCIP/DCIPUtils.py

@@ -1,16 +1,6 @@
-from __future__ import print_function
-from __future__ import absolute_import
-from __future__ import division
-from __future__ import unicode_literals
-from builtins import open
-from builtins import int
-from future import standard_library
-standard_library.install_aliases()
-from builtins import map
-from builtins import range
 from SimPEG import np, Utils
-from . import BaseDC as DC
-from . import BaseDC as IP
+import BaseDC as DC
+import BaseDC as IP
 import warnings
 
 def getActiveindfromTopo(mesh, topo):
@@ -77,7 +67,7 @@ def readUBC_DC3Dobstopo(filename,mesh,topo,probType="CC"):
         if "!" in line.split(): continue
         elif line == '\n': continue
         elif line == ' \n': continue
-        temp =  list(map(float, line.split()))
+        temp =  map(float, line.split())
         # Read a line for the current electrode
         if len(temp) == 5: # SRC: Only X and Y are provided (assume no topography)
             #TODO consider topography and assign the closest cell center in the earth
@@ -238,10 +228,10 @@ def plot_pseudoSection(DCsurvey, axs, surveyType='dipole-dipole', unitType='volt
 
             elif surveyType == 'dipole-dipole':
 
-                leg = data * 2*np.pi / (1/MA - 1/MB - 1/NB + 1/NA)
+                leg = data * 2*np.pi / ( 1/MA - 1/MB - 1/NB + 1/NA )
 
             else:
-                print("""unitType must be 'pole-dipole' | 'dipole-dipole' """)
+                print """unitType must be 'pole-dipole' | 'dipole-dipole' """
                 break
 
 
@@ -256,11 +246,11 @@ def plot_pseudoSection(DCsurvey, axs, surveyType='dipole-dipole', unitType='volt
                 rho = np.hstack([rho,leg])
 
             else:
-                print("""unitType must be 'appResistivity' | 'appConductivity' | 'volt' """)
+                print """unitType must be 'appResistivity' | 'appConductivity' | 'volt' """
                 break
 
-        midx = np.hstack([midx, (Cmid + Pmid)/2])
-        midz = np.hstack([midz, -np.abs(Cmid-Pmid)/2 + (Tx[0][2] + Tx[1][2])/2])
+        midx = np.hstack([midx, ( Cmid + Pmid )/2 ])
+        midz = np.hstack([midz, -np.abs(Cmid-Pmid)/2 + (Tx[0][2] + Tx[1][2])/2 ])
 
     # Grid points
     grid_x, grid_z = np.mgrid[np.min(midx):np.max(midx), np.min(midz):np.max(midz)]
@@ -350,11 +340,11 @@ def gen_DCIPsurvey(endl, mesh, surveyType, AM_sep, MN_sep, nrx):
     dl_x = ( endl[1,0] - endl[0,0] ) / dl_len
     dl_y = ( endl[1,1] - endl[0,1] ) / dl_len
 
-    nstn = np.floor(dl_len / AM_sep)
+    nstn = np.floor( dl_len / AM_sep )
 
     # Compute discrete pole location along line
-    stn_x = endl[0,0] + np.array(list(range(int(nstn))))*dl_x*AM_sep
-    stn_y = endl[0,1] + np.array(list(range(int(nstn))))*dl_y*AM_sep
+    stn_x = endl[0,0] + np.array(range(int(nstn)))*dl_x*AM_sep
+    stn_y = endl[0,1] + np.array(range(int(nstn)))*dl_y*AM_sep
 
     # Create line of P1 locations
     M = np.c_[stn_x, stn_y, np.ones(nstn).T*mesh.vectorNz[-1]]
@@ -386,15 +376,15 @@ def gen_DCIPsurvey(endl, mesh, surveyType, AM_sep, MN_sep, nrx):
             AB = xy_2_r(tx[0,1],endl[1,0],tx[1,1],endl[1,1])
 
             # Number of receivers to fit
-            nstn = np.min([(AB - MN_sep) // AM_sep, nrx])
+            nstn = np.min([np.floor( (AB - MN_sep) / AM_sep ) , nrx])
 
             # Check if there is enough space, else break the loop
             if nstn <= 0:
                 continue
 
             # Compute discrete pole location along line
-            stn_x = N[ii,0] + dl_x*MN_sep + np.array(list(range(int(nstn))))*dl_x*AM_sep
-            stn_y = N[ii,1] + dl_y*MN_sep + np.array(list(range(int(nstn))))*dl_y*AM_sep
+            stn_x = N[ii,0] + dl_x*MN_sep + np.array(range(int(nstn)))*dl_x*AM_sep
+            stn_y = N[ii,1] + dl_y*MN_sep + np.array(range(int(nstn)))*dl_y*AM_sep
 
             # Create receiver poles
             # Create line of P1 locations
@@ -429,15 +419,15 @@ def gen_DCIPsurvey(endl, mesh, surveyType, AM_sep, MN_sep, nrx):
         box_l = np.sqrt( (min_x - max_x)**2 + (min_y - max_y)**2 )
         box_w = box_l/2.
 
-        nstn = box_l // AM_sep
+        nstn = np.floor( box_l / AM_sep )
 
         # Compute discrete pole location along line
-        stn_x = min_x + np.array(list(range(int(nstn))))*dl_x*AM_sep
-        stn_y = min_y + np.array(list(range(int(nstn))))*dl_y*AM_sep
+        stn_x = min_x + np.array(range(int(nstn)))*dl_x*AM_sep
+        stn_y = min_y + np.array(range(int(nstn)))*dl_y*AM_sep
 
         # Define number of cross lines
-        nlin = int(box_w // AM_sep)
-        lind = list(range(-nlin,nlin+1))
+        nlin = int(np.floor( box_w / AM_sep ))
+        lind = range(-nlin,nlin+1)
 
         ngrad = nstn * len(lind)
 
@@ -459,7 +449,7 @@ def gen_DCIPsurvey(endl, mesh, surveyType, AM_sep, MN_sep, nrx):
         srcClass = DC.SrcDipole([rxClass], M[0,:], N[-1,:])
         SrcList.append(srcClass)
     else:
-        print("""surveyType must be either 'pole-dipole', 'dipole-dipole' or 'gradient'. """)
+        print """surveyType must be either 'pole-dipole', 'dipole-dipole' or 'gradient'. """
 
     survey = DC.SurveyDC(SrcList)
     return survey, Tx, Rx
@@ -486,7 +476,7 @@ def writeUBC_DCobs(fileName, DCsurvey, dim, surveyType, iptype = 0):
     fid.write('! ' + surveyType + ' FORMAT\n')
 
     if iptype!=0:
-        fid.write('IPTYPE=%i\n'%iptype)
+        fid.write('IPTYPE={0:d}\n'.format(iptype))
 
     else:
         fid.write('! ' + stype + ' FORMAT\n')
@@ -522,7 +512,7 @@ def writeUBC_DCobs(fileName, DCsurvey, dim, surveyType, iptype = 0):
 
                 if surveyType == 'SURFACE':
 
-                    fid.writelines("%f " % ii for ii in mkvc(tx[0,:]))
+                    fid.writelines("{0:f} ".format(ii) for ii in mkvc(tx[0,:]))
                     M = M[:,0]
                     N = N[:,0]
 
@@ -531,7 +521,7 @@ def writeUBC_DCobs(fileName, DCsurvey, dim, surveyType, iptype = 0):
                     # Flip sign for z-elevation to depth
                     tx[2::2,:] = -tx[2::2,:]
 
-                    fid.writelines("%e " % ii for ii in mkvc(tx[::2,:]))
+                    fid.writelines("{0:e} ".format(ii) for ii in mkvc(tx[::2,:]))
                     M = M[:,0::2]
                     N = N[:,0::2]
 
@@ -539,22 +529,22 @@ def writeUBC_DCobs(fileName, DCsurvey, dim, surveyType, iptype = 0):
                     M[:,1::2] = -M[:,1::2]
                     N[:,1::2] = -N[:,1::2]
 
-                fid.write('%i\n'% nD)
+                fid.write('{0:d}\n'.format(nD))
                 np.savetxt(fid, np.c_[ M, N , DCsurvey.dobs[count:count+nD], DCsurvey.std[count:count+nD] ], fmt='%f',delimiter=' ',newline='\n')
 
         if dim=='3D':
 
             if surveyType == 'SURFACE':
 
-                fid.writelines("%e " % ii for ii in mkvc(tx[0:2,:]))
+                fid.writelines("{0:e} ".format(ii) for ii in mkvc(tx[0:2,:]))
                 M = M[:,0:2]
                 N = N[:,0:2]
 
             if surveyType == 'GENERAL':
 
-                fid.writelines("%e " % ii for ii in mkvc(tx[0:3,:]))
+                fid.writelines("{0:e} ".format(ii) for ii in mkvc(tx[0:3,:]))
 
-            fid.write('%i\n'% nD)
+            fid.write('{0:d}\n'.format(nD))
             np.savetxt(fid, np.c_[ M, N , DCsurvey.dobs[count:count+nD], DCsurvey.std[count:count+nD] ], fmt='%e',delimiter=' ',newline='\n')
             fid.write('\n')
 
@@ -678,7 +668,7 @@ def readUBC_DC3Dobs(fileName, rtype = 'DC'):
         obsfile = np.genfromtxt(fileName,delimiter=' \n',dtype=np.str,comments='!')
 
     else:
-        print("rtype must be 'DC'(default) | 'IP'")
+        print "rtype must be 'DC'(default) | 'IP'"
 
     # Pre-allocate
     srcLists = []

SimPEG/DCIP/Utils.py

@@ -1,10 +1,3 @@
-from __future__ import division
-from __future__ import unicode_literals
-from __future__ import print_function
-from __future__ import absolute_import
-from future import standard_library
-standard_library.install_aliases()
-from builtins import range
 import numpy as np
 
 def WennerSrcList(nElecs, aSpacing, in2D=False, plotIt=False):
@@ -12,7 +5,7 @@ def WennerSrcList(nElecs, aSpacing, in2D=False, plotIt=False):
     import SimPEG.DCIP as DC
 
     elocs = np.arange(0,aSpacing*nElecs,aSpacing)
-    elocs -= (nElecs*aSpacing - aSpacing) / 2
+    elocs -= (nElecs*aSpacing - aSpacing)/2
     space = 1
     WENNER = np.zeros((0,),dtype=int)
     for ii in range(nElecs):

SimPEG/DCIP/__init__.py

@@ -1,10 +1,4 @@
-from __future__ import absolute_import
-from __future__ import unicode_literals
-from __future__ import print_function
-from __future__ import division
-from future import standard_library
-standard_library.install_aliases()
-from .BaseDC import *
-from .BaseIP import *
-from .DCIPUtils import *
-from . import Utils
+from BaseDC import *
+from BaseIP import *
+from DCIPUtils import *
+import Utils

SimPEG/DataMisfit.py

@@ -1,16 +1,7 @@
-from __future__ import print_function
-from __future__ import division
-from __future__ import unicode_literals
-from __future__ import absolute_import
-from future import standard_library
-standard_library.install_aliases()
-from builtins import object
-from . import Utils, Survey, Problem
-import numpy as np, scipy.sparse as sp, gc
-from future.utils import with_metaclass
+import Utils, Survey, Problem, numpy as np, scipy.sparse as sp, gc
 
 
-class BaseDataMisfit(with_metaclass(Utils.SimPEGMetaClass, object)):
+class BaseDataMisfit(object):
     """BaseDataMisfit
 
         .. note::
@@ -18,6 +9,8 @@ class BaseDataMisfit(with_metaclass(Utils.SimPEGMetaClass, object)):
             You should inherit from this class to create your own data misfit term.
     """
 
+    __metaclass__ = Utils.SimPEGMetaClass
+
     debug   = False  #: Print debugging information
     counter = None   #: Set this to a SimPEG.Utils.Counter() if you want to count things
 
@@ -100,11 +93,11 @@ class l2_DataMisfit(BaseDataMisfit):
             survey = self.survey
 
             if getattr(survey,'std', None) is None:
-                print('SimPEG.DataMisfit.l2_DataMisfit assigning default std of 5%')
+                print 'SimPEG.DataMisfit.l2_DataMisfit assigning default std of 5%'
                 survey.std = 0.05
 
             if getattr(survey, 'eps', None) is None:
-                print('SimPEG.DataMisfit.l2_DataMisfit assigning default eps of 1e-5 * ||dobs||')
+                print 'SimPEG.DataMisfit.l2_DataMisfit assigning default eps of 1e-5 * ||dobs||'
                 survey.eps = np.linalg.norm(Utils.mkvc(survey.dobs),2)*1e-5
 
             self._Wd = Utils.sdiag(1/(abs(survey.dobs)*survey.std+survey.eps))

SimPEG/Directives.py

@@ -1,15 +1,4 @@
-from __future__ import print_function
-from __future__ import division
-from __future__ import unicode_literals
-from __future__ import absolute_import
-from builtins import open
-from builtins import int
-from future import standard_library
-standard_library.install_aliases()
-from builtins import str
-from builtins import object
-from . import Utils
-import numpy as np
+import Utils, numpy as np
 
 class InversionDirective(object):
     """InversionDirective"""
@@ -26,7 +15,7 @@ class InversionDirective(object):
     @inversion.setter
     def inversion(self, i):
         if getattr(self,'_inversion',None) is not None:
-            print('Warning: InversionDirective %s has switched to a new inversion.' % self.__name__)
+            print 'Warning: InversionDirective {0!s} has switched to a new inversion.'.format(self.__name__)
         self._inversion = i
 
     @property
@@ -58,7 +47,7 @@ class DirectiveList(object):
     def __init__(self, *directives, **kwargs):
         self.dList = []
         for d in directives:
-            assert isinstance(d, InversionDirective), 'All directives must be InversionDirectives not %s' % d.__name__
+            assert isinstance(d, InversionDirective), 'All directives must be InversionDirectives not {0!s}'.format(d.__name__)
             self.dList.append(d)
         Utils.setKwargs(self, **kwargs)
 
@@ -79,7 +68,7 @@ class DirectiveList(object):
     def inversion(self, i):
         if self.inversion is i: return
         if getattr(self,'_inversion',None) is not None:
-            print('Warning: %s has switched to a new inversion.' % self.__name__)
+            print 'Warning: {0!s} has switched to a new inversion.'.format(self.__name__)
         for d in self.dList:
             d.inversion = i
         self._inversion = i
@@ -90,7 +79,7 @@ class DirectiveList(object):
             return
 
         directives = ['initialize', 'endIter', 'finish']
-        assert ruleType in directives, 'Directive type must be in ["%s"]' % '", "'.join(directives)
+        assert ruleType in directives, 'Directive type must be in ["{0!s}"]'.format('", "'.join(directives))
         for r in self.dList:
             getattr(r, ruleType)()
 
@@ -131,7 +120,7 @@ class BetaEstimate_ByEig(InversionDirective):
             :return: beta0
         """
 
-        if self.debug: print('Calculating the beta0 parameter.')
+        if self.debug: print 'Calculating the beta0 parameter.'
 
         m = self.invProb.curModel
         f = self.invProb.getFields(m, store=True, deleteWarmstart=False)
@@ -152,7 +141,7 @@ class BetaSchedule(InversionDirective):
 
     def endIter(self):
         if self.opt.iter > 0 and self.opt.iter % self.coolingRate == 0:
-            if self.debug: print('BetaSchedule is cooling Beta. Iteration: %d' % self.opt.iter)
+            if self.debug: print 'BetaSchedule is cooling Beta. Iteration: {0:d}'.format(self.opt.iter)
             self.invProb.beta /= self.coolingFactor
 
 
@@ -192,7 +181,7 @@ class SaveEveryIteration(InversionDirective):
     def fileName(self):
         if getattr(self, '_fileName', None) is None:
             from datetime import datetime
-            self._fileName = '%s-%s'%(self.name, datetime.now().strftime('%Y-%m-%d-%H-%M'))
+            self._fileName = '{0!s}-{1!s}'.format(self.name, datetime.now().strftime('%Y-%m-%d-%H-%M'))
         return self._fileName
     @fileName.setter
     def fileName(self, value):
@@ -203,31 +192,31 @@ class SaveModelEveryIteration(SaveEveryIteration):
     """SaveModelEveryIteration"""
 
     def initialize(self):
-        print("SimPEG.SaveModelEveryIteration will save your models as: '###-%s.npy'"%self.fileName)
+        print "SimPEG.SaveModelEveryIteration will save your models as: '###-{0!s}.npy'".format(self.fileName)
 
     def endIter(self):
-        np.save('%03d-%s' % (self.opt.iter, self.fileName), self.opt.xc)
+        np.save('{0:03d}-{1!s}'.format(self.opt.iter, self.fileName), self.opt.xc)
 
 
 class SaveOutputEveryIteration(SaveEveryIteration):
     """SaveModelEveryIteration"""
 
     def initialize(self):
-        print("SimPEG.SaveOutputEveryIteration will save your inversion progress as: '###-%s.txt'"%self.fileName)
+        print "SimPEG.SaveOutputEveryIteration will save your inversion progress as: '###-{0!s}.txt'".format(self.fileName)
         f = open(self.fileName+'.txt', 'w')
         f.write("  #     beta     phi_d     phi_m       f\n")
         f.close()
 
     def endIter(self):
         f = open(self.fileName+'.txt', 'a')
-        f.write(' %3d %1.4e %1.4e %1.4e %1.4e\n'%(self.opt.iter, self.invProb.beta, self.invProb.phi_d, self.invProb.phi_m, self.opt.f))
+        f.write(' {0:3d} {1:1.4e} {2:1.4e} {3:1.4e} {4:1.4e}\n'.format(self.opt.iter, self.invProb.beta, self.invProb.phi_d, self.invProb.phi_m, self.opt.f))
         f.close()
 
 class SaveOutputDictEveryIteration(SaveEveryIteration):
     """SaveOutputDictEveryIteration"""
 
     def initialize(self):
-        print("SimPEG.SaveOutputDictEveryIteration will save your inversion progress as dictionary: '###-%s.npz'"%self.fileName)
+        print "SimPEG.SaveOutputDictEveryIteration will save your inversion progress as dictionary: '###-{0!s}.npz'".format(self.fileName)
 
     def endIter(self):
         # Save the data.
@@ -305,7 +294,7 @@ class Update_IRLS(InversionDirective):
 
         # After reaching target misfit with l2-norm, switch to IRLS (mode:2)
         if self.invProb.phi_d < self.target and self.mode == 1:
-            print("Convergence with smooth l2-norm regularization: Start IRLS steps...")
+            print "Convergence with smooth l2-norm regularization: Start IRLS steps..."
 
             self.mode = 2
 
@@ -313,17 +302,17 @@ class Update_IRLS(InversionDirective):
             # model values
             if getattr(self, 'reg.eps', None) is None:
                 self.reg.eps_p = np.percentile(np.abs(self.invProb.curModel),self.prctile)
-            else:
+            else:                 
                 self.reg.eps_p = self.eps[0]
-
+                
             if getattr(self, 'reg.eps', None) is None:
                 self.reg.eps_q = np.percentile(np.abs(self.reg.regmesh.cellDiffxStencil*(self.reg.mapping * self.invProb.curModel)),self.prctile)
-            else:
+            else:                 
                 self.reg.eps_q = self.eps[1]
-
-            print("L[p qx qy qz]-norm : " + str(self.reg.norms))
-            print("eps_p: " + str(self.reg.eps_p) + " eps_q: " + str(self.reg.eps_q))
-
+            
+            print "L[p qx qy qz]-norm : " + str(self.reg.norms)
+            print "eps_p: " + str(self.reg.eps_p) + " eps_q: " + str(self.reg.eps_q)
+            
             self.reg.norms = self.norms
             self.coolingFactor = 1.
             self.coolingRate = 1
@@ -339,7 +328,7 @@ class Update_IRLS(InversionDirective):
 
         # Beta Schedule
         if self.opt.iter > 0 and self.opt.iter % self.coolingRate == 0:
-            if self.debug: print('BetaSchedule is cooling Beta. Iteration: %d' % self.opt.iter)
+            if self.debug: print 'BetaSchedule is cooling Beta. Iteration: {0:d}'.format(self.opt.iter)
             self.invProb.beta /= self.coolingFactor
 
 
@@ -351,17 +340,17 @@ class Update_IRLS(InversionDirective):
             phim_new = self.reg.eval(self.invProb.curModel)
             self.f_change = np.abs(self.f_old - phim_new) / self.f_old
 
-            print("Regularization decrease: %6.3e" % (self.f_change))
+            print "Regularization decrease: {0:6.3e}".format((self.f_change))
 
             # Check for maximum number of IRLS cycles
             if self.IRLSiter == self.maxIRLSiter:
-                print("Reach maximum number of IRLS cycles: %i" % self.maxIRLSiter)
+                print "Reach maximum number of IRLS cycles: {0:d}".format(self.maxIRLSiter)
                 self.opt.stopNextIteration = True
                 return
 
             # Check if the function has changed enough
             if self.f_change < self.f_min_change and self.IRLSiter > 1:
-                print("Minimum decrease in regularization. End of IRLS")
+                print "Minimum decrease in regularization. End of IRLS"
                 self.opt.stopNextIteration = True
                 return
             else:

SimPEG/EM/Analytics/DC.py

@@ -1,10 +1,3 @@
-from __future__ import division
-from __future__ import unicode_literals
-from __future__ import print_function
-from __future__ import absolute_import
-from future import standard_library
-standard_library.install_aliases()
-from builtins import range
 import numpy as np
 from scipy.constants import mu_0, pi
 from scipy import special

SimPEG/EM/Analytics/FDEM.py

@@ -1,9 +1,4 @@
 from __future__ import division
-from __future__ import unicode_literals
-from __future__ import print_function
-from __future__ import absolute_import
-from future import standard_library
-standard_library.install_aliases()
 import numpy as np
 from scipy.constants import mu_0, pi
 from scipy.special import erf

SimPEG/EM/Analytics/FDEMDipolarfields.py

@@ -1,9 +1,4 @@
 from __future__ import division
-from __future__ import unicode_literals
-from __future__ import print_function
-from __future__ import absolute_import
-from future import standard_library
-standard_library.install_aliases()
 import numpy as np
 from scipy.constants import mu_0, pi, epsilon_0
 from scipy.special import erf

SimPEG/EM/Analytics/FDEMcasing.py

@@ -1,9 +1,3 @@
-from __future__ import division
-from __future__ import unicode_literals
-from __future__ import print_function
-from __future__ import absolute_import
-from future import standard_library
-standard_library.install_aliases()
 from SimPEG import Utils, np
 from scipy.constants import mu_0, epsilon_0
 from SimPEG.EM.Utils.EMUtils import k
@@ -40,7 +34,7 @@ def _getCasingHertzMagDipoleDeriv_r(srcloc,obsloc,freq,sigma,a,b,mu=mu_0*np.ones
     sqrtr2z2 = np.sqrt(r2 + dxyz[:,2]**2)
     k2 = k(freq,sigma[2],mu[2],eps)
 
-    return -HertzZ * np.sqrt(r2) / sqrtr2z2 * (1j*k2 + 1. / sqrtr2z2)
+    return -HertzZ * np.sqrt(r2) / sqrtr2z2 * (1j*k2 + 1./ sqrtr2z2)
 
 
 def _getCasingHertzMagDipoleDeriv_z(srcloc,obsloc,freq,sigma,a,b,mu=mu_0*np.ones(3),eps=epsilon_0,moment=1.):

SimPEG/EM/Analytics/TDEM.py

@@ -1,9 +1,3 @@
-from __future__ import division
-from __future__ import unicode_literals
-from __future__ import print_function
-from __future__ import absolute_import
-from future import standard_library
-standard_library.install_aliases()
 import numpy as np
 from scipy.constants import mu_0, pi
 from scipy.special import erf

SimPEG/EM/Analytics/__init__.py

@@ -1,11 +1,5 @@
-from __future__ import absolute_import
-from __future__ import unicode_literals
-from __future__ import print_function
-from __future__ import division
-from future import standard_library
-standard_library.install_aliases()
-from .TDEM import hzAnalyticDipoleT
-from .FDEM import hzAnalyticDipoleF
-from .FDEMcasing import *
-from .DC import DCAnalyticHalf, DCAnalyticSphere
-from .FDEMDipolarfields import *
+from TDEM import hzAnalyticDipoleT
+from FDEM import hzAnalyticDipoleF
+from FDEMcasing import *
+from DC import DCAnalyticHalf, DCAnalyticSphere
+from FDEMDipolarfields import *

SimPEG/EM/Base.py

@@ -1,9 +1,3 @@
-from __future__ import division
-from __future__ import unicode_literals
-from __future__ import print_function
-from __future__ import absolute_import
-from future import standard_library
-standard_library.install_aliases()
 from SimPEG import Survey, Problem, Utils, Models, Maps, PropMaps, np, sp, Solver as SimpegSolver
 from scipy.constants import mu_0
 

SimPEG/EM/FDEM/FieldsFDEM.py

@@ -1,10 +1,3 @@
-from __future__ import division
-from __future__ import unicode_literals
-from __future__ import print_function
-from __future__ import absolute_import
-from builtins import int
-from future import standard_library
-standard_library.install_aliases()
 import numpy as np
 import scipy.sparse as sp
 import SimPEG
@@ -49,7 +42,7 @@ class FieldsFDEM(SimPEG.Problem.Fields):
         :return: total electric field
         """
         if getattr(self, '_ePrimary', None) is None or getattr(self, '_eSecondary', None) is None:
-            raise NotImplementedError ('Getting e from %s is not implemented' %list(self.knownFields.keys())[0])
+            raise NotImplementedError ('Getting e from {0!s} is not implemented'.format(self.knownFields.keys()[0]))
 
         return self._ePrimary(solution,srcList) + self._eSecondary(solution,srcList)
 
@@ -63,7 +56,7 @@ class FieldsFDEM(SimPEG.Problem.Fields):
         :return: total magnetic flux density
         """
         if getattr(self, '_bPrimary', None) is None or getattr(self, '_bSecondary', None) is None:
-            raise NotImplementedError ('Getting b from %s is not implemented' %list(self.knownFields.keys())[0])
+            raise NotImplementedError ('Getting b from {0!s} is not implemented'.format(self.knownFields.keys()[0]))
 
         return self._bPrimary(solution, srcList) + self._bSecondary(solution, srcList)
 
@@ -77,7 +70,7 @@ class FieldsFDEM(SimPEG.Problem.Fields):
         :return: total magnetic field
         """
         if getattr(self, '_hPrimary', None) is None or getattr(self, '_hSecondary', None) is None:
-            raise NotImplementedError ('Getting h from %s is not implemented' %list(self.knownFields.keys())[0])
+            raise NotImplementedError ('Getting h from {0!s} is not implemented'.format(self.knownFields.keys()[0]))
 
         return self._hPrimary(solution, srcList) + self._hSecondary(solution, srcList)
 
@@ -91,7 +84,7 @@ class FieldsFDEM(SimPEG.Problem.Fields):
         :return: total current density
         """
         if getattr(self, '_jPrimary', None) is None or getattr(self, '_jSecondary', None) is None:
-            raise NotImplementedError ('Getting j from %s is not implemented' %list(self.knownFields.keys())[0])
+            raise NotImplementedError ('Getting j from {0!s} is not implemented'.format(self.knownFields.keys()[0]))
 
         return self._jPrimary(solution, srcList) + self._jSecondary(solution, srcList)
 
@@ -107,7 +100,7 @@ class FieldsFDEM(SimPEG.Problem.Fields):
         :return: derivative times a vector (or tuple for adjoint)
         """
         if getattr(self, '_eDeriv_u', None) is None or getattr(self, '_eDeriv_m', None) is None:
-            raise NotImplementedError ('Getting eDerivs from %s is not implemented' %list(self.knownFields.keys())[0])
+            raise NotImplementedError ('Getting eDerivs from {0!s} is not implemented'.format(self.knownFields.keys()[0]))
 
         if adjoint:
             return self._eDeriv_u(src, v, adjoint), self._eDeriv_m(src, v, adjoint)
@@ -125,7 +118,7 @@ class FieldsFDEM(SimPEG.Problem.Fields):
         :return: derivative times a vector (or tuple for adjoint)
         """
         if getattr(self, '_bDeriv_u', None) is None or getattr(self, '_bDeriv_m', None) is None:
-            raise NotImplementedError ('Getting bDerivs from %s is not implemented' %list(self.knownFields.keys())[0])
+            raise NotImplementedError ('Getting bDerivs from {0!s} is not implemented'.format(self.knownFields.keys()[0]))
 
         if adjoint:
             return self._bDeriv_u(src, v, adjoint), self._bDeriv_m(src, v, adjoint)
@@ -143,7 +136,7 @@ class FieldsFDEM(SimPEG.Problem.Fields):
         :return: derivative times a vector (or tuple for adjoint)
         """
         if getattr(self, '_hDeriv_u', None) is None or getattr(self, '_hDeriv_m', None) is None:
-            raise NotImplementedError ('Getting hDerivs from %s is not implemented' %list(self.knownFields.keys())[0])
+            raise NotImplementedError ('Getting hDerivs from {0!s} is not implemented'.format(self.knownFields.keys()[0]))
 
         if adjoint:
             return self._hDeriv_u(src, v, adjoint), self._hDeriv_m(src, v, adjoint)
@@ -161,7 +154,7 @@ class FieldsFDEM(SimPEG.Problem.Fields):
         :return: derivative times a vector (or tuple for adjoint)
         """
         if getattr(self, '_jDeriv_u', None) is None or getattr(self, '_jDeriv_m', None) is None:
-            raise NotImplementedError ('Getting jDerivs from %s is not implemented' %list(self.knownFields.keys())[0])
+            raise NotImplementedError ('Getting jDerivs from {0!s} is not implemented'.format(self.knownFields.keys()[0]))
 
         if adjoint:
             return self._jDeriv_u(src, v, adjoint), self._jDeriv_m(src, v, adjoint)
@@ -292,7 +285,7 @@ class Fields3D_e(FieldsFDEM):
         C = self._edgeCurl
         b = (C * eSolution)
         for i, src in enumerate(srcList):
-            b[:,i] *= -1./(1j*omega(src.freq))
+            b[:,i] *= - 1./(1j*omega(src.freq))
             s_m, _ = src.eval(self.prob)
             b[:,i] = b[:,i]+ 1./(1j*omega(src.freq)) * s_m
         return b
@@ -352,7 +345,7 @@ class Fields3D_e(FieldsFDEM):
         :rtype: numpy.ndarray
         :return: product of the derivative of the current density with respect to the field we solved for with a vector
         """
-        n = int(self._aveE2CCV.shape[0] // self._nC) # number of components (instead of checking if cyl or not)
+        n = int(self._aveE2CCV.shape[0] / self._nC) # number of components (instead of checking if cyl or not)
         VI = sdiag(np.kron(np.ones(n), 1./self.prob.mesh.vol))
 
         if adjoint:
@@ -389,8 +382,8 @@ class Fields3D_e(FieldsFDEM):
         :rtype: numpy.ndarray
         :return: magnetic field
         """
-        n = int(self._aveF2CCV.shape[0] // self._nC) # Number of Components
-        VI = sdiag(np.kron(np.ones(n), 1. // self.prob.mesh.vol))
+        n = int(self._aveF2CCV.shape[0] / self._nC) # Number of Components
+        VI = sdiag(np.kron(np.ones(n), 1./self.prob.mesh.vol))
 
         return VI * (self._aveF2CCV * (self._MfMui * self._b(eSolution, srcList)))
 
@@ -404,7 +397,7 @@ class Fields3D_e(FieldsFDEM):
         :rtype: numpy.ndarray
         :return: product of the derivative of the magnetic field with respect to the field we solved for with a vector
         """
-        n = int(self._aveF2CCV.shape[0] // self._nC) # Number of Components
+        n = int(self._aveF2CCV.shape[0] / self._nC) # Number of Components
         VI = sdiag(np.kron(np.ones(n), 1./self.prob.mesh.vol))
         if adjoint:
             v =  self._MfMui.T * (self._aveF2CCV.T  * (VI.T * du_dm_v))
@@ -421,7 +414,7 @@ class Fields3D_e(FieldsFDEM):
         :rtype: numpy.ndarray
         :return: product of the magnetic field derivative with respect to the inversion model with a vector
         """
-        n = int(self._aveF2CCV.shape[0] // self._nC) # Number of Components
+        n = int(self._aveF2CCV.shape[0] / self._nC) # Number of Components
         VI = sdiag(np.kron(np.ones(n), 1./self.prob.mesh.vol))
         if adjoint:
             v =  self._MfMui.T * (self._aveF2CCV.T  * (VI.T * v))
@@ -614,7 +607,7 @@ class Fields3D_b(FieldsFDEM):
         :return: primary current density
         """
 
-        n = int(self._aveE2CCV.shape[0] // self._nC) # number of components
+        n = int(self._aveE2CCV.shape[0] / self._nC) # number of components
         VI = sdiag(np.kron(np.ones(n), 1./self.prob.mesh.vol))
 
         return VI * (self._aveE2CCV * ( self._MeSigma * self._e(bSolution,srcList ) ) )
@@ -631,7 +624,7 @@ class Fields3D_b(FieldsFDEM):
         :rtype: numpy.ndarray
         :return: product of the derivative of the current density with respect to the field we solved for with a vector
         """
-        n = int(self._aveE2CCV.shape[0] // self._nC) # number of components
+        n = int(self._aveE2CCV.shape[0] / self._nC) # number of components
         VI = sdiag(np.kron(np.ones(n), 1./self.prob.mesh.vol))
         if adjoint:
             return self._MfMui.T * ( self._edgeCurl * ( self._aveE2CCV.T * (VI.T * du_dm_v) ) )
@@ -659,7 +652,7 @@ class Fields3D_b(FieldsFDEM):
         :rtype: numpy.ndarray
         :return: magnetic field
         """
-        n = int(self._aveF2CCV.shape[0] // self._nC) #number of components
+        n = int(self._aveF2CCV.shape[0] / self._nC) #number of components
         VI = sdiag(np.kron(np.ones(n), 1./self.prob.mesh.vol))
         return VI * (self._aveF2CCV * (self._MfMui * self._b(bSolution, srcList)))
 
@@ -674,7 +667,7 @@ class Fields3D_b(FieldsFDEM):
         :rtype: numpy.ndarray
         :return: product of the derivative of the magnetic field with respect to the field we solved for with a vector
         """
-        n = int(self._aveF2CCV.shape[0] // self._nC) #number of components
+        n = int(self._aveF2CCV.shape[0] / self._nC) #number of components
         VI = sdiag(np.kron(np.ones(n), 1./self.prob.mesh.vol))
 
         if adjoint:
@@ -897,7 +890,7 @@ class Fields3D_j(FieldsFDEM):
         :rtype: numpy.ndarray
         :return: electric field
         """
-        n = int(self._aveF2CCV.shape[0] // self._nC) # number of components
+        n = int(self._aveF2CCV.shape[0] / self._nC) # number of components
         VI = sdiag(np.kron(np.ones(n), 1./self.prob.mesh.vol))
         return VI * (self._aveF2CCV * (self._MfRho *  self._j(jSolution, srcList)))
 
@@ -911,7 +904,7 @@ class Fields3D_j(FieldsFDEM):
         :rtype: numpy.ndarray
         :return: product of the derivative of the electric field with respect to the field we solved for with a vector
         """
-        n = int(self._aveF2CCV.shape[0] // self._nC) # number of components
+        n = int(self._aveF2CCV.shape[0] / self._nC) # number of components
         VI = sdiag(np.kron(np.ones(n), 1./self.prob.mesh.vol))
         if adjoint:
             return self._MfRho.T * ( self._aveF2CCV.T * ( VI.T * du_dm_v ) )
@@ -928,7 +921,7 @@ class Fields3D_j(FieldsFDEM):
         :return: product of the derivative of the electric field with respect to the model with a vector
         """
         jSolution = Utils.mkvc(self[src,'jSolution'])
-        n = int(self._aveF2CCV.shape[0] // self._nC) # number of components
+        n = int(self._aveF2CCV.shape[0] / self._nC) # number of components
         VI = sdiag(np.kron(np.ones(n), 1./self.prob.mesh.vol))
         if adjoint:
             return self._MfRhoDeriv(jSolution).T * ( self._aveF2CCV.T * ( VI.T * v ) )
@@ -943,7 +936,7 @@ class Fields3D_j(FieldsFDEM):
         :rtype: numpy.ndarray
         :return: secondary magnetic flux density
         """
-        n = int(self._aveE2CCV.shape[0] // self._nC) # number of components
+        n = int(self._aveE2CCV.shape[0] / self._nC) # number of components
         VI = sdiag(np.kron(np.ones(n), 1./self.prob.mesh.vol))
 
         return VI * (self._aveE2CCV * ( self._MeMu * self._h(jSolution,srcList)) )
@@ -958,7 +951,7 @@ class Fields3D_j(FieldsFDEM):
         :rtype: numpy.ndarray
         :return: product of the derivative of the magnetic flux density with respect to the field we solved for with a vector
         """
-        n = int(self._aveF2CCV.shape[0] // self._nC) # number of components
+        n = int(self._aveF2CCV.shape[0] / self._nC) # number of components
         VI = sdiag(np.kron(np.ones(n), 1./self.prob.mesh.vol))
 
         if adjoint:
@@ -976,7 +969,7 @@ class Fields3D_j(FieldsFDEM):
         :return: product of the derivative of the magnetic flux density with respect to the model with a vector
         """
         jSolution = self[src,'jSolution']
-        n = int(self._aveE2CCV.shape[0] // self._nC) # number of components
+        n = int(self._aveE2CCV.shape[0] / self._nC) # number of components
         VI = sdiag(np.kron(np.ones(n), 1./self.prob.mesh.vol))
         s_mDeriv,_ = src.evalDeriv(self.prob, adjoint = adjoint)
 
@@ -1158,7 +1151,7 @@ class Fields3D_h(FieldsFDEM):
         :rtype: numpy.ndarray
         :return: electric field
         """
-        n = int(self._aveF2CCV.shape[0] // self._nC) #number of components
+        n = int(self._aveF2CCV.shape[0] / self._nC) #number of components
         VI = sdiag(np.kron(np.ones(n), 1./self.prob.mesh.vol))
         return VI * (self._aveF2CCV * (self._MfRho *  self._j(hSolution, srcList)))
 
@@ -1172,7 +1165,7 @@ class Fields3D_h(FieldsFDEM):
         :rtype: numpy.ndarray
         :return: product of the derivative of the electric field with respect to the field we solved for with a vector
         """
-        n = int(self._aveF2CCV.shape[0] // self._nC) #number of components
+        n = int(self._aveF2CCV.shape[0] / self._nC) #number of components
         VI = sdiag(np.kron(np.ones(n), 1./self.prob.mesh.vol))
         if adjoint:
             return self._edgeCurl.T * ( self._MfRho.T * ( self._aveF2CCV.T * ( VI.T * du_dm_v ) ) )
@@ -1189,7 +1182,7 @@ class Fields3D_h(FieldsFDEM):
         :return: product of the electric field derivative with respect to the inversion model with a vector
         """
         hSolution = Utils.mkvc(self[src,'hSolution'])
-        n = int(self._aveF2CCV.shape[0] // self._nC) #number of components
+        n = int(self._aveF2CCV.shape[0] / self._nC) #number of components
         VI = sdiag(np.kron(np.ones(n), 1./self.prob.mesh.vol))
         if adjoint:
             return ( self._MfRhoDeriv(self._edgeCurl * hSolution).T * ( self._aveF2CCV.T * (VI.T * v) ) )
@@ -1205,7 +1198,7 @@ class Fields3D_h(FieldsFDEM):
         :return: magnetic flux density
         """
         h = self._h(hSolution, srcList)
-        n = int(self._aveE2CCV.shape[0] // self._nC) #number of components
+        n = int(self._aveE2CCV.shape[0] / self._nC) #number of components
         VI = sdiag(np.kron(np.ones(n), 1./self.prob.mesh.vol))
 
         return VI * (self._aveE2CCV * (self._MeMu * h))
@@ -1220,7 +1213,7 @@ class Fields3D_h(FieldsFDEM):
         :rtype: numpy.ndarray
         :return: product of the derivative of the magnetic flux density with respect to the field we solved for with a vector
         """
-        n = int(self._aveE2CCV.shape[0] // self._nC) #number of components
+        n = int(self._aveE2CCV.shape[0] / self._nC) #number of components
         VI = sdiag(np.kron(np.ones(n), 1./self.prob.mesh.vol))
         if adjoint:
             return self._MeMu.T * (self._aveE2CCV.T * ( VI.T * du_dm_v ))

SimPEG/EM/FDEM/ProblemFDEM.py

@@ -1,13 +1,7 @@
-from __future__ import absolute_import
-from __future__ import unicode_literals
-from __future__ import print_function
-from __future__ import division
-from future import standard_library
-standard_library.install_aliases()
 from SimPEG import Problem, Utils, np, sp, Solver as SimpegSolver
 from scipy.constants import mu_0
-from .SurveyFDEM import Survey as SurveyFDEM
-from .FieldsFDEM import FieldsFDEM, Fields3D_e, Fields3D_b, Fields3D_h, Fields3D_j
+from SurveyFDEM import Survey as SurveyFDEM
+from FieldsFDEM import FieldsFDEM, Fields3D_e, Fields3D_b, Fields3D_h, Fields3D_j
 from SimPEG.EM.Base import BaseEMProblem
 from SimPEG.EM.Utils import omega
 

SimPEG/EM/FDEM/RxFDEM.py

@@ -1,10 +1,3 @@
-from __future__ import unicode_literals
-from __future__ import print_function
-from __future__ import division
-from __future__ import absolute_import
-from builtins import super
-from future import standard_library
-standard_library.install_aliases()
 import SimPEG
 from SimPEG import sp
 
@@ -18,8 +11,8 @@ class BaseRx(SimPEG.Survey.BaseRx):
     """
 
     def __init__(self, locs, orientation=None, component=None):
-        assert(orientation in ['x','y','z']), "Orientation %s not known. Orientation must be in 'x', 'y', 'z'. Arbitrary orientations have not yet been implemented."%orientation
-        assert(component in ['real', 'imag']), "'component' must be 'real' or 'imag', not %s"%component
+        assert(orientation in ['x','y','z']), "Orientation {0!s} not known. Orientation must be in 'x', 'y', 'z'. Arbitrary orientations have not yet been implemented.".format(orientation)
+        assert(component in ['real', 'imag']), "'component' must be 'real' or 'imag', not {0!s}".format(component)
 
         self.projComp = orientation
         self.component = component

SimPEG/EM/FDEM/SrcFDEM.py

@@ -1,9 +1,3 @@
-from __future__ import division
-from __future__ import unicode_literals
-from __future__ import print_function
-from __future__ import absolute_import
-from future import standard_library
-standard_library.install_aliases()
 from SimPEG import Survey, Problem, Utils, np, sp
 from scipy.constants import mu_0
 from SimPEG.EM.Utils import *

SimPEG/EM/FDEM/SurveyFDEM.py

@@ -1,16 +1,10 @@
-from __future__ import absolute_import
-from __future__ import unicode_literals
-from __future__ import print_function
-from __future__ import division
-from future import standard_library
-standard_library.install_aliases()
 import SimPEG
 from SimPEG.EM.Utils import *
 from SimPEG.EM.Base import BaseEMSurvey
 from scipy.constants import mu_0
 from SimPEG.Utils import Zero, Identity
-from . import SrcFDEM as Src
-from . import RxFDEM as Rx
+import SrcFDEM as Src
+import RxFDEM as Rx
 from SimPEG import sp
 
 class Survey(BaseEMSurvey):

SimPEG/EM/FDEM/__init__.py

@@ -1,11 +1,5 @@
-from __future__ import absolute_import
-from __future__ import unicode_literals
-from __future__ import print_function
-from __future__ import division
-from future import standard_library
-standard_library.install_aliases()
-from .SurveyFDEM import Survey
-from . import SrcFDEM as Src
-from . import RxFDEM as Rx
-from .ProblemFDEM import Problem3D_e, Problem3D_b, Problem3D_j, Problem3D_h
-from .FieldsFDEM import Fields3D_e, Fields3D_b, Fields3D_j, Fields3D_h
+from SurveyFDEM import Survey
+import SrcFDEM as Src
+import RxFDEM as Rx
+from ProblemFDEM import Problem3D_e, Problem3D_b, Problem3D_j, Problem3D_h
+from FieldsFDEM import Fields3D_e, Fields3D_b, Fields3D_j, Fields3D_h

SimPEG/EM/Static/DC/BoundaryUtils.py

@@ -1,9 +1,3 @@
-from __future__ import division
-from __future__ import unicode_literals
-from __future__ import print_function
-from __future__ import absolute_import
-from future import standard_library
-standard_library.install_aliases()
 import numpy as np
 
 def getxBCyBC_CC(mesh, alpha, beta, gamma):

SimPEG/EM/Static/DC/FieldsDC.py

@@ -1,9 +1,3 @@
-from __future__ import unicode_literals
-from __future__ import print_function
-from __future__ import division
-from __future__ import absolute_import
-from future import standard_library
-standard_library.install_aliases()
 import SimPEG
 from SimPEG.Utils import Identity, Zero
 import numpy as np
@@ -15,7 +9,7 @@ class Fields(SimPEG.Problem.Fields):
 
     def _phiDeriv(self, src, du_dm_v, v, adjoint=False):
         if getattr(self, '_phiDeriv_u', None) is None or getattr(self, '_phiDeriv_m', None) is None:
-            raise NotImplementedError ('Getting phiDerivs from %s is not implemented' %list(self.knownFields.keys())[0])
+            raise NotImplementedError ('Getting phiDerivs from {0!s} is not implemented'.format(self.knownFields.keys()[0]))
 
         if adjoint:
             return self._phiDeriv_u(src, v, adjoint=adjoint), self._phiDeriv_m(src, v, adjoint=adjoint)
@@ -24,7 +18,7 @@ class Fields(SimPEG.Problem.Fields):
 
     def _eDeriv(self, src, du_dm_v, v, adjoint=False):
         if getattr(self, '_eDeriv_u', None) is None or getattr(self, '_eDeriv_m', None) is None:
-            raise NotImplementedError ('Getting eDerivs from %s is not implemented' %list(self.knownFields.keys())[0])
+            raise NotImplementedError ('Getting eDerivs from {0!s} is not implemented'.format(self.knownFields.keys()[0]))
 
         if adjoint:
             return self._eDeriv_u(src, v, adjoint), self._eDeriv_m(src, v, adjoint)
@@ -32,7 +26,7 @@ class Fields(SimPEG.Problem.Fields):
 
     def _jDeriv(self, src, du_dm_v, v, adjoint=False):
         if getattr(self, '_jDeriv_u', None) is None or getattr(self, '_jDeriv_m', None) is None:
-            raise NotImplementedError ('Getting jDerivs from %s is not implemented' %list(self.knownFields.keys())[0])
+            raise NotImplementedError ('Getting jDerivs from {0!s} is not implemented'.format(self.knownFields.keys()[0]))
 
         if adjoint:
             return self._jDeriv_u(src, v, adjoint), self._jDeriv_m(src, v, adjoint)

SimPEG/EM/Static/DC/FieldsDC_2D.py

@@ -1,9 +1,3 @@
-from __future__ import unicode_literals
-from __future__ import print_function
-from __future__ import division
-from __future__ import absolute_import
-from future import standard_library
-standard_library.install_aliases()
 import SimPEG
 from SimPEG.Utils import Identity, Zero
 import numpy as np
@@ -38,7 +32,7 @@ class Fields_ky(SimPEG.Problem.TimeFields):
 
     def _phiDeriv(self,kyInd, src, du_dm_v, v, adjoint=False):
         if getattr(self, '_phiDeriv_u', None) is None or getattr(self, '_phiDeriv_m', None) is None:
-            raise NotImplementedError ('Getting phiDerivs from %s is not implemented' %list(self.knownFields.keys())[0])
+            raise NotImplementedError ('Getting phiDerivs from {0!s} is not implemented'.format(self.knownFields.keys()[0]))
 
         if adjoint:
             return self._phiDeriv_u(kyInd, src, v, adjoint=adjoint), self._phiDeriv_m(kyInd, src, v, adjoint=adjoint)
@@ -47,7 +41,7 @@ class Fields_ky(SimPEG.Problem.TimeFields):
 
     def _eDeriv(self,kyInd, src, du_dm_v, v, adjoint=False):
         if getattr(self, '_eDeriv_u', None) is None or getattr(self, '_eDeriv_m', None) is None:
-            raise NotImplementedError ('Getting eDerivs from %s is not implemented' %list(self.knownFields.keys())[0])
+            raise NotImplementedError ('Getting eDerivs from {0!s} is not implemented'.format(self.knownFields.keys()[0]))
 
         if adjoint:
             return self._eDeriv_u(kyInd, src, v, adjoint), self._eDeriv_m(kyInd, src, v, adjoint)
@@ -55,7 +49,7 @@ class Fields_ky(SimPEG.Problem.TimeFields):
 
     def _jDeriv(self,kyInd, src, du_dm_v, v, adjoint=False):
         if getattr(self, '_jDeriv_u', None) is None or getattr(self, '_jDeriv_m', None) is None:
-            raise NotImplementedError ('Getting jDerivs from %s is not implemented' %list(self.knownFields.keys())[0])
+            raise NotImplementedError ('Getting jDerivs from {0!s} is not implemented'.format(self.knownFields.keys()[0]))
 
         if adjoint:
             return self._jDeriv_u(kyInd, src, v, adjoint), self._jDeriv_m(kyInd, src, v, adjoint)

SimPEG/EM/Static/DC/ProblemDC.py

@@ -1,17 +1,11 @@
-from __future__ import absolute_import
-from __future__ import unicode_literals
-from __future__ import print_function
-from __future__ import division
-from future import standard_library
-standard_library.install_aliases()
 from SimPEG import Problem, Utils
 from SimPEG.EM.Base import BaseEMProblem
-from .SurveyDC import Survey
-from .FieldsDC import Fields, Fields_CC, Fields_N
+from SurveyDC import Survey
+from FieldsDC import Fields, Fields_CC, Fields_N
 from SimPEG.Utils import sdiag
 import numpy as np
 from SimPEG.Utils import Zero
-from .BoundaryUtils import getxBCyBC_CC
+from BoundaryUtils import getxBCyBC_CC
 
 class BaseDCProblem(BaseEMProblem):
 
@@ -52,7 +46,7 @@ class BaseDCProblem(BaseEMProblem):
             du_dm_v = self.Ainv * ( - dA_dm_v + dRHS_dm_v )
 
             for rx in src.rxList:
-                df_dmFun = getattr(f, '_%sDeriv'%rx.projField, None)
+                df_dmFun = getattr(f, '_{0!s}Deriv'.format(rx.projField), None)
                 df_dm_v = df_dmFun(src, du_dm_v, v, adjoint=False)
                 Jv[src, rx] = rx.evalDeriv(src, self.mesh, f, df_dm_v)
         return Utils.mkvc(Jv)
@@ -75,7 +69,7 @@ class BaseDCProblem(BaseEMProblem):
             u_src = f[src, self._solutionType]
             for rx in src.rxList:
                 PTv = rx.evalDeriv(src, self.mesh, f, v[src, rx], adjoint=True) # wrt f, need possibility wrt m
-                df_duTFun = getattr(f, '_%sDeriv'%rx.projField, None)
+                df_duTFun = getattr(f, '_{0!s}Deriv'.format(rx.projField), None)
                 df_duT, df_dmT = df_duTFun(src, None, PTv, adjoint=True)
 
                 ATinvdf_duT = self.Ainv * df_duT

SimPEG/EM/Static/DC/ProblemDC_2D.py

@@ -1,18 +1,11 @@
-from __future__ import absolute_import
-from __future__ import division
-from __future__ import unicode_literals
-from __future__ import print_function
-from future import standard_library
-standard_library.install_aliases()
-from builtins import range
 from SimPEG import Problem, Utils
 from SimPEG.EM.Base import BaseEMProblem
-from .SurveyDC import Survey, Survey_ky
-from .FieldsDC_2D import Fields_ky, Fields_ky_CC, Fields_ky_N
+from SurveyDC import Survey, Survey_ky
+from FieldsDC_2D import Fields_ky, Fields_ky_CC, Fields_ky_N
 from SimPEG.Utils import sdiag
 import numpy as np
 from SimPEG.Utils import Zero
-from .BoundaryUtils import getxBCyBC_CC
+from BoundaryUtils import getxBCyBC_CC
 
 class BaseDCProblem_2D(BaseEMProblem):
 
@@ -67,7 +60,7 @@ class BaseDCProblem_2D(BaseEMProblem):
                 dRHS_dm_v = self.getRHSDeriv(ky, src, v)
                 du_dm_v = self.Ainv[iky] * ( - dA_dm_v + dRHS_dm_v )
                 for rx in src.rxList:
-                    df_dmFun = getattr(f, '_%sDeriv'%rx.projField, None)
+                    df_dmFun = getattr(f, '_{0!s}Deriv'.format(rx.projField), None)
                     df_dm_v = df_dmFun(iky, src, du_dm_v, v, adjoint=False)
                     # Trapezoidal intergration
                     Jv1_temp = 1./np.pi*rx.evalDeriv(ky, src, self.mesh, f, df_dm_v)
@@ -108,7 +101,7 @@ class BaseDCProblem_2D(BaseEMProblem):
                     ky = self.kys[iky]
                     AT = self.getA(ky)
                     PTv = rx.evalDeriv(ky, src, self.mesh, f, v[src, rx], adjoint=True) # wrt f, need possibility wrt m
-                    df_duTFun = getattr(f, '_%sDeriv'%rx.projField, None)
+                    df_duTFun = getattr(f, '_{0!s}Deriv'.format(rx.projField), None)
                     df_duT, df_dmT = df_duTFun(iky, src, None, PTv, adjoint=True)
 
                     ATinvdf_duT = self.Ainv[iky] * df_duT

SimPEG/EM/Static/DC/RxDC.py

@@ -1,10 +1,3 @@
-from __future__ import division
-from __future__ import unicode_literals
-from __future__ import print_function
-from __future__ import absolute_import
-from future import standard_library
-standard_library.install_aliases()
-from builtins import range
 import SimPEG
 import numpy as np
 from SimPEG.Utils import Zero, closestPoints

SimPEG/EM/Static/DC/SrcDC.py

@@ -1,9 +1,3 @@
-from __future__ import unicode_literals
-from __future__ import print_function
-from __future__ import division
-from __future__ import absolute_import
-from future import standard_library
-standard_library.install_aliases()
 import SimPEG
 # from SimPEG.EM.Base import BaseEMSurvey
 from SimPEG.Utils import Zero, closestPoints, mkvc

SimPEG/EM/Static/DC/SurveyDC.py

@@ -1,15 +1,9 @@
-from __future__ import absolute_import
-from __future__ import unicode_literals
-from __future__ import print_function
-from __future__ import division
-from future import standard_library
-standard_library.install_aliases()
 import SimPEG
 from SimPEG.EM.Base import BaseEMSurvey
 from SimPEG import sp, Survey
 from SimPEG.Utils import Zero, Identity
-from .RxDC import BaseRx
-from .SrcDC import BaseSrc
+from RxDC import BaseRx
+from SrcDC import BaseSrc
 
 class Survey(BaseEMSurvey):
     rxPair  = BaseRx

SimPEG/EM/Static/DC/Utils.py

@@ -1,10 +1,3 @@
-from __future__ import division
-from __future__ import unicode_literals
-from __future__ import print_function
-from __future__ import absolute_import
-from future import standard_library
-standard_library.install_aliases()
-from builtins import range
 import numpy as np
 
 def WennerSrcList(nElecs, aSpacing, in2D=False, plotIt=False):

SimPEG/EM/Static/DC/__init__.py

@@ -1,14 +1,8 @@
-from __future__ import absolute_import
-from __future__ import unicode_literals
-from __future__ import print_function
-from __future__ import division
-from future import standard_library
-standard_library.install_aliases()
-from .ProblemDC import Problem3D_CC, Problem3D_N
-from .ProblemDC_2D import Problem2D_CC, Problem2D_N
-from .SurveyDC import Survey, Survey_ky
-from . import SrcDC as Src #Pole
-from . import RxDC as Rx
-from .FieldsDC import Fields_CC
-from .BoundaryUtils import getxBCyBC_CC
-from . import Utils
+from ProblemDC import Problem3D_CC, Problem3D_N
+from ProblemDC_2D import Problem2D_CC, Problem2D_N
+from SurveyDC import Survey, Survey_ky
+import SrcDC as Src #Pole
+import RxDC as Rx
+from FieldsDC import Fields_CC
+from BoundaryUtils import getxBCyBC_CC
+import Utils

SimPEG/EM/Static/IP/ProblemIP.py

@@ -1,9 +1,3 @@
-from __future__ import absolute_import
-from __future__ import unicode_literals
-from __future__ import print_function
-from __future__ import division
-from future import standard_library
-standard_library.install_aliases()
 from SimPEG import Problem, Utils, Maps, Mesh
 from SimPEG.EM.Base import BaseEMProblem
 from SimPEG.EM.Static.DC.FieldsDC import Fields, Fields_CC, Fields_N
@@ -11,7 +5,7 @@ from SimPEG.Utils import sdiag
 import numpy as np
 from SimPEG.Utils import Zero
 from SimPEG.EM.Static.DC import getxBCyBC_CC
-from .SurveyIP import Survey
+from SurveyIP import Survey
 
 class IPPropMap(Maps.PropMap):
     """
@@ -62,7 +56,7 @@ class BaseIPProblem(BaseEMProblem):
             du_dm_v = self.Ainv * ( - dA_dm_v + dRHS_dm_v )
 
             for rx in src.rxList:
-                df_dmFun = getattr(f, '_%sDeriv'%rx.projField, None)
+                df_dmFun = getattr(f, '_{0!s}Deriv'.format(rx.projField), None)
                 df_dm_v = df_dmFun(src, du_dm_v, v, adjoint=False)
                 Jv[src, rx] = rx.evalDeriv(src, self.mesh, f, df_dm_v)
         # Conductivity (d u / d log sigma)
@@ -89,7 +83,7 @@ class BaseIPProblem(BaseEMProblem):
             u_src = f[src, self._solutionType]
             for rx in src.rxList:
                 PTv = rx.evalDeriv(src, self.mesh, f, v[src, rx], adjoint=True) # wrt f, need possibility wrt m
-                df_duTFun = getattr(f, '_%sDeriv'%rx.projField, None)
+                df_duTFun = getattr(f, '_{0!s}Deriv'.format(rx.projField), None)
                 df_duT, df_dmT = df_duTFun(src, None, PTv, adjoint=True)
                 ATinvdf_duT = self.Ainv * df_duT
                 dA_dmT = self.getADeriv(u_src, ATinvdf_duT, adjoint=True)

SimPEG/EM/Static/IP/SurveyIP.py

@@ -1,9 +1,3 @@
-from __future__ import unicode_literals
-from __future__ import print_function
-from __future__ import division
-from __future__ import absolute_import
-from future import standard_library
-standard_library.install_aliases()
 import SimPEG
 from SimPEG.EM.Base import BaseEMSurvey
 from SimPEG import sp, Survey

SimPEG/EM/Static/IP/__init__.py

@@ -1,8 +1,2 @@
-from __future__ import absolute_import
-from __future__ import unicode_literals
-from __future__ import print_function
-from __future__ import division
-from future import standard_library
-standard_library.install_aliases()
-from .ProblemIP import Problem3D_CC, Problem3D_N
-from .SurveyIP import Survey
+from ProblemIP import Problem3D_CC, Problem3D_N
+from SurveyIP import Survey

SimPEG/EM/Static/SIP/ProblemSIP.py

@@ -1,11 +1,3 @@
-from __future__ import absolute_import
-from __future__ import division
-from __future__ import unicode_literals
-from __future__ import print_function
-from builtins import int
-from future import standard_library
-standard_library.install_aliases()
-from builtins import range
 from SimPEG import Problem, Utils, Maps, Mesh
 from SimPEG.EM.Base import BaseEMProblem
 from SimPEG.EM.Static.DC.FieldsDC import Fields, Fields_CC, Fields_N
@@ -13,7 +5,7 @@ from SimPEG.Utils import sdiag
 import numpy as np
 from SimPEG.Utils import Zero
 from SimPEG.EM.Static.DC import getxBCyBC_CC
-from .SurveySIP import Survey, Data
+from SurveySIP import Survey, Data
 
 class ColeColePropMap(Maps.PropMap):
     """
@@ -91,7 +83,7 @@ class BaseSIPProblem(BaseEMProblem):
                 for rx in src.rxList:
                     timeindex = rx.getTimeP(self.survey.times)
                     if timeindex[tind]:
-                        df_dmFun = getattr(f, '_%sDeriv'%rx.projField, None)
+                        df_dmFun = getattr(f, '_{0!s}Deriv'.format(rx.projField), None)
                         df_dm_v = df_dmFun(src, du_dm_v, v, adjoint=False)
                         Jv[src, rx, t] = rx.evalDeriv(src, self.mesh, f, df_dm_v)
 
@@ -113,7 +105,7 @@ class BaseSIPProblem(BaseEMProblem):
         JvAll = []
         #Assume only eta and tau (eta first then tau)
         # v = [2*Mx1]
-        v = v.reshape((v.size//2), 2), order='F')
+        v = v.reshape((int(v.size/2), 2), order='F')
 
         for tind in range(len(self.survey.times)):
             t = self.survey.times[tind]
@@ -130,7 +122,7 @@ class BaseSIPProblem(BaseEMProblem):
                 for rx in src.rxList:
                     timeindex = rx.getTimeP(self.survey.times)
                     if timeindex[tind]:
-                        df_dmFun = getattr(f, '_%sDeriv'%rx.projField, None)
+                        df_dmFun = getattr(f, '_{0!s}Deriv'.format(rx.projField), None)
                         df_dm_v0 = df_dmFun(src, du_dm_v0, v0, adjoint=False)
                         df_dm_v1 = df_dmFun(src, du_dm_v1, v1, adjoint=False)
                         Jv[src, rx, t] = rx.evalDeriv(src, self.mesh, f, df_dm_v0)
@@ -161,7 +153,7 @@ class BaseSIPProblem(BaseEMProblem):
                     timeindex = rx.getTimeP(self.survey.times)
                     if timeindex[tind]:
                         PTv = rx.evalDeriv(src, self.mesh, f, v[src, rx, t], adjoint=True) # wrt f, need possibility wrt m
-                        df_duTFun = getattr(f, '_%sDeriv'%rx.projField, None)
+                        df_duTFun = getattr(f, '_{0!s}Deriv'.format(rx.projField), None)
                         df_duT, df_dmT = df_duTFun(src, None, PTv, adjoint=True)
                         ATinvdf_duT = self.Ainv * df_duT
                         dA_dmT = self.getADeriv(u_src, ATinvdf_duT, adjoint=True)

SimPEG/EM/Static/SIP/Regularization.py

@@ -1,10 +1,3 @@
-from __future__ import unicode_literals
-from __future__ import print_function
-from __future__ import division
-from __future__ import absolute_import
-from future import standard_library
-standard_library.install_aliases()
-from builtins import range
 from SimPEG import Utils, Maps, Mesh, sp, np
 from SimPEG.Regularization import BaseRegularization, Simple
 

SimPEG/EM/Static/SIP/RxSIP.py

@@ -1,9 +1,3 @@
-from __future__ import unicode_literals
-from __future__ import print_function
-from __future__ import division
-from __future__ import absolute_import
-from future import standard_library
-standard_library.install_aliases()
 import SimPEG
 import numpy as np
 from SimPEG.Utils import Zero, closestPoints

SimPEG/EM/Static/SIP/SrcSIP.py

@@ -1,9 +1,3 @@
-from __future__ import unicode_literals
-from __future__ import print_function
-from __future__ import division
-from __future__ import absolute_import
-from future import standard_library
-standard_library.install_aliases()
 import SimPEG
 # from SimPEG.EM.Base import BaseEMSurvey
 from SimPEG.Utils import Zero, closestPoints, mkvc

SimPEG/EM/Static/SIP/SurveySIP.py

@@ -1,10 +1,3 @@
-from __future__ import unicode_literals
-from __future__ import print_function
-from __future__ import division
-from __future__ import absolute_import
-from future import standard_library
-standard_library.install_aliases()
-from builtins import str
 import SimPEG
 from SimPEG.EM.Base import BaseEMSurvey
 from SimPEG import np, sp, Survey, Utils

SimPEG/EM/Static/SIP/__init__.py

@@ -1,11 +1,5 @@
-from __future__ import absolute_import
-from __future__ import unicode_literals
-from __future__ import print_function
-from __future__ import division
-from future import standard_library
-standard_library.install_aliases()
-from .ProblemSIP import Problem3D_CC, Problem3D_N
-from .SurveySIP import Survey, Data
-from . import SrcSIP as Src #Pole
-from . import RxSIP as Rx
-from .Regularization import MultiRegularization
+from ProblemSIP import Problem3D_CC, Problem3D_N
+from SurveySIP import Survey, Data
+import SrcSIP as Src #Pole
+import RxSIP as Rx
+from Regularization import MultiRegularization

SimPEG/EM/Static/Utils/StaticUtils.py

@@ -1,11 +1,3 @@
-from __future__ import print_function
-from __future__ import division
-from __future__ import unicode_literals
-from __future__ import absolute_import
-from builtins import int
-from future import standard_library
-standard_library.install_aliases()
-from builtins import range
 from SimPEG import np
 from SimPEG.EM.Static import DC, IP
 
@@ -93,10 +85,10 @@ def plot_pseudoSection(DCsurvey, axs, stype='dpdp', dtype="appc", clim=None):
 
             elif stype == 'dpdp':
 
-                leg = data * 2*np.pi / (1/MA - 1/MB + 1/NB - 1/NA)
-                LEG.append(1./(2*np.pi) * (1/MA - 1/MB + 1/NB - 1/NA))
+                leg = data * 2*np.pi / ( 1/MA - 1/MB + 1/NB - 1/NA )
+                LEG.append(1./(2*np.pi) *( 1/MA - 1/MB + 1/NB - 1/NA ))
             else:
-                print("""dtype must be 'pdp'(pole-dipole) | 'dpdp' (dipole-dipole) """)
+                print """dtype must be 'pdp'(pole-dipole) | 'dpdp' (dipole-dipole) """
                 break
 
 
@@ -111,7 +103,7 @@ def plot_pseudoSection(DCsurvey, axs, stype='dpdp', dtype="appc", clim=None):
                 rho = np.hstack([rho,leg])
 
             else:
-                print("""dtype must be 'appr' | 'appc' | 'volt' """)
+                print """dtype must be 'appr' | 'appc' | 'volt' """
                 break
 
 
@@ -192,14 +184,14 @@ def gen_DCIPsurvey(endl, mesh, stype, a, b, n):
     # Mesure survey length and direction
     dl_len = xy_2_r(endl[0,0],endl[1,0],endl[0,1],endl[1,1])
 
-    dl_x = (endl[1,0] - endl[0,0]) / dl_len
-    dl_y = (endl[1,1] - endl[0,1]) / dl_len
+    dl_x = ( endl[1,0] - endl[0,0] ) / dl_len
+    dl_y = ( endl[1,1] - endl[0,1] ) / dl_len
 
-    nstn = np.floor(dl_len / a)
+    nstn = np.floor( dl_len / a )
 
     # Compute discrete pole location along line
-    stn_x = endl[0,0] + np.array(list(range(int(nstn))))*dl_x*a
-    stn_y = endl[0,1] + np.array(list(range(int(nstn))))*dl_y*a
+    stn_x = endl[0,0] + np.array(range(int(nstn)))*dl_x*a
+    stn_y = endl[0,1] + np.array(range(int(nstn)))*dl_y*a
 
     if mesh.dim==2:
         ztop = mesh.vectorNy[-1]
@@ -238,15 +230,15 @@ def gen_DCIPsurvey(endl, mesh, stype, a, b, n):
             AB = xy_2_r(tx[0,1],endl[1,0],tx[1,1],endl[1,1])
 
             # Number of receivers to fit
-            nstn = np.min([(AB - b) // a, n])
+            nstn = np.min([np.floor( (AB - b) / a ) , n])
 
             # Check if there is enough space, else break the loop
             if nstn <= 0:
                 continue
 
             # Compute discrete pole location along line
-            stn_x = N[ii,0] + dl_x*b + np.array(list(range(int(nstn))))*dl_x*a
-            stn_y = N[ii,1] + dl_y*b + np.array(list(range(int(nstn))))*dl_y*a
+            stn_x = N[ii,0] + dl_x*b + np.array(range(int(nstn)))*dl_x*a
+            stn_y = N[ii,1] + dl_y*b + np.array(range(int(nstn)))*dl_y*a
 
             # Create receiver poles
 
@@ -283,17 +275,17 @@ def gen_DCIPsurvey(endl, mesh, stype, a, b, n):
         max_y = endl[1,1] - dl_y * b
 
         box_l = np.sqrt( (min_x - max_x)**2 + (min_y - max_y)**2 )
-        box_w = box_l / 2.
+        box_w = box_l/2.
 
-        nstn = np.floor(box_l / a)
+        nstn = np.floor( box_l / a )
 
         # Compute discrete pole location along line
-        stn_x = min_x + np.array(list(range(int(nstn))))*dl_x*a
-        stn_y = min_y + np.array(list(range(int(nstn))))*dl_y*a
+        stn_x = min_x + np.array(range(int(nstn)))*dl_x*a
+        stn_y = min_y + np.array(range(int(nstn)))*dl_y*a
 
         # Define number of cross lines
-        nlin = int(box_w // a)
-        lind = list(range(-nlin,nlin+1))
+        nlin = int(np.floor( box_w / a ))
+        lind = range(-nlin,nlin+1)
 
         ngrad = nstn * len(lind)
 
@@ -318,7 +310,7 @@ def gen_DCIPsurvey(endl, mesh, stype, a, b, n):
             srcClass = DC.Src.Dipole([rxClass], M[0,:], N[-1,:])
         SrcList.append(srcClass)
     else:
-        print("""stype must be either 'pdp', 'dpdp' or 'gradient'. """)
+        print """stype must be either 'pdp', 'dpdp' or 'gradient'. """
 
 
     return SrcList

SimPEG/EM/Static/Utils/__init__.py

@@ -1,7 +1 @@
-from __future__ import absolute_import
-from __future__ import unicode_literals
-from __future__ import print_function
-from __future__ import division
-from future import standard_library
-standard_library.install_aliases()
-from .StaticUtils import *
+from StaticUtils import *

SimPEG/EM/Static/__init__.py

@@ -1,9 +1,3 @@
-from __future__ import absolute_import
-from __future__ import unicode_literals
-from __future__ import print_function
-from __future__ import division
-from future import standard_library
-standard_library.install_aliases()
-from . import DC
-from . import IP
-from . import SIP
+import DC
+import IP
+import SIP

SimPEG/EM/TDEM/BaseTDEM.py

@@ -1,10 +1,3 @@
-from __future__ import print_function
-from __future__ import unicode_literals
-from __future__ import division
-from __future__ import absolute_import
-from future import standard_library
-standard_library.install_aliases()
-from builtins import range
 from SimPEG import Solver, Problem
 from SimPEG.Problem import BaseTimeProblem
 from SimPEG.EM.Utils import *
@@ -54,7 +47,7 @@ class BaseTDEMProblem(BaseTimeProblem, BaseEMProblem):
         self.waveformType = "GENERAL"
 
     def fields(self, m):
-        if self.verbose: print('%s\nCalculating fields(m)\n%s'%('*'*50,'*'*50))
+        if self.verbose: print '{0!s}\nCalculating fields(m)\n{1!s}'.format('*'*50, '*'*50)
         self.curModel = m
         # Create a fields storage object
         F = self._FieldsForward_pair(self.mesh, self.survey)
@@ -62,7 +55,7 @@ class BaseTDEMProblem(BaseTimeProblem, BaseEMProblem):
             # Set the initial conditions
             F[src,:,0] = src.getInitialFields(self.mesh)
         F = self.forward(m, self.getRHS, F=F)
-        if self.verbose: print('%s\nDone calculating fields(m)\n%s'%('*'*50,'*'*50))
+        if self.verbose: print '{0!s}\nDone calculating fields(m)\n{1!s}'.format('*'*50, '*'*50)
         return F
 
     def forward(self, m, RHS, F=None):
@@ -77,13 +70,13 @@ class BaseTDEMProblem(BaseTimeProblem, BaseEMProblem):
                 if Ainv is not None:
                     Ainv.clean()
                 A = self.getA(tInd)
-                if self.verbose: print('Factoring...   (dt = %e)'%dt)
+                if self.verbose: print 'Factoring...   (dt = {0:e})'.format(dt)
                 Ainv = self.Solver(A, **self.solverOpts)
-                if self.verbose: print('Done')
+                if self.verbose: print 'Done'
             rhs = RHS(tInd, F)
-            if self.verbose: print('    Solving...   (tInd = %d)'%tInd)
+            if self.verbose: print '    Solving...   (tInd = {0:d})'.format(tInd)
             sol = Ainv * rhs
-            if self.verbose: print('    Done...')
+            if self.verbose: print '    Done...'
             if sol.ndim == 1:
                 sol.shape = (sol.size,1)
             F[:,self.solType,tInd+1] = sol
@@ -102,13 +95,13 @@ class BaseTDEMProblem(BaseTimeProblem, BaseEMProblem):
                 if Ainv is not None:
                     Ainv.clean()
                 A = self.getA(tInd)
-                if self.verbose: print('Factoring (Adjoint)...   (dt = %e)'%dt)
+                if self.verbose: print 'Factoring (Adjoint)...   (dt = {0:e})'.format(dt)
                 Ainv = self.Solver(A, **self.solverOpts)
-                if self.verbose: print('Done')
+                if self.verbose: print 'Done'
             rhs = RHS(tInd, F)
-            if self.verbose: print('    Solving (Adjoint)...   (tInd = %d)'%tInd)
+            if self.verbose: print '    Solving (Adjoint)...   (tInd = {0:d})'.format(tInd)
             sol = Ainv * rhs
-            if self.verbose: print('    Done...')
+            if self.verbose: print '    Done...'
             if sol.ndim == 1:
                 sol.shape = (sol.size,1)
             F[:,self.solType,tInd+1] = sol
@@ -130,14 +123,14 @@ class BaseTDEMProblem(BaseTimeProblem, BaseEMProblem):
             * Compute \\\(\\\\vec{w} = -\\\mathbf{Q} \\\\vec{y}\\\)
 
         """
-        if self.verbose: print('%s\nCalculating J(v)\n%s'%('*'*50,'*'*50))
+        if self.verbose: print '{0!s}\nCalculating J(v)\n{1!s}'.format('*'*50, '*'*50)
         self.curModel = m
         if f is None:
             f = self.fields(m)
         p = self.Gvec(m, v, f)
         y = self.solveAh(m, p)
         Jv = self.survey.evalDeriv(f, v=y)
-        if self.verbose: print('%s\nDone calculating J(v)\n%s'%('*'*50,'*'*50))
+        if self.verbose: print '{0!s}\nDone calculating J(v)\n{1!s}'.format('*'*50, '*'*50)
         return - mkvc(Jv)
 
     def Jtvec(self, m, v, f=None):
@@ -155,7 +148,7 @@ class BaseTDEMProblem(BaseTimeProblem, BaseEMProblem):
             * Compute \\\(\\\\vec{w} = -\\\mathbf{G}^\\\\top y\\\)
 
         """
-        if self.verbose: print('%s\nCalculating J^T(v)\n%s'%('*'*50,'*'*50))
+        if self.verbose: print '{0!s}\nCalculating J^T(v)\n{1!s}'.format('*'*50, '*'*50)
         self.curModel = m
         if f is None:
             f = self.fields(m)
@@ -166,6 +159,6 @@ class BaseTDEMProblem(BaseTimeProblem, BaseEMProblem):
         p = self.survey.evalDeriv(f, v=v, adjoint=True)
         y = self.solveAht(m, p)
         w = self.Gtvec(m, y, f)
-        if self.verbose: print('%s\nDone calculating J^T(v)\n%s'%('*'*50,'*'*50))
+        if self.verbose: print '{0!s}\nDone calculating J^T(v)\n{1!s}'.format('*'*50, '*'*50)
         return - mkvc(w)
 

SimPEG/EM/TDEM/SurveyTDEM.py

@@ -1,13 +1,7 @@
-from __future__ import print_function
-from __future__ import absolute_import
-from __future__ import unicode_literals
-from __future__ import division
-from future import standard_library
-standard_library.install_aliases()
 from SimPEG import Utils, Survey, np
 from SimPEG.Survey import BaseSurvey
 from SimPEG.EM.Utils import *
-from .BaseTDEM import FieldsTDEM
+from BaseTDEM import FieldsTDEM
 
 
 class RxTDEM(Survey.BaseTimeRx):
@@ -93,7 +87,7 @@ class SrcTDEM_VMD_MVP(SrcTDEM):
     def getInitialFields(self, mesh):
         """Vertical magnetic dipole, magnetic vector potential"""
         if self.waveformType == "STEPOFF":
-            print(">> Step waveform: Non-zero initial condition")
+            print ">> Step waveform: Non-zero initial condition"
             if mesh._meshType is 'CYL':
                 if mesh.isSymmetric:
                     MVP = MagneticDipoleVectorPotential(self.loc, mesh, 'Ey')
@@ -105,7 +99,7 @@ class SrcTDEM_VMD_MVP(SrcTDEM):
                 raise Exception('Unknown mesh for VMD')
             return {"b": mesh.edgeCurl*MVP}
         elif self.waveformType == "GENERAL":
-            print(">> General waveform: Zero initial condition")
+            print ">> General waveform: Zero initial condition"
             return {"b": np.zeros(mesh.nF)}
         else:
             raise NotImplementedError("Only use STEPOFF or GENERAL")
@@ -133,7 +127,7 @@ class SrcTDEM_CircularLoop_MVP(SrcTDEM):
     def getInitialFields(self, mesh):
         """Circular Loop, magnetic vector potential"""
         if self.waveformType == "STEPOFF":
-            print(">> Step waveform: Non-zero initial condition")
+            print ">> Step waveform: Non-zero initial condition"
             if mesh._meshType is 'CYL':
                 if mesh.isSymmetric:
                     MVP = MagneticLoopVectorPotential(self.loc, mesh, 'Ey', self.radius)
@@ -145,7 +139,7 @@ class SrcTDEM_CircularLoop_MVP(SrcTDEM):
                 raise Exception('Unknown mesh for CircularLoop')
             return {"b": mesh.edgeCurl*MVP}
         elif self.waveformType == "GENERAL":
-            print(">> General waveform: Zero initial condition")
+            print ">> General waveform: Zero initial condition"
             return {"b": np.zeros(mesh.nF)}
         else:
             raise NotImplementedError("Only use STEPOFF or GENERAL")

SimPEG/EM/TDEM/TDEM_b.py

@@ -1,14 +1,7 @@
-from __future__ import absolute_import
-from __future__ import division
-from __future__ import unicode_literals
-from __future__ import print_function
-from future import standard_library
-standard_library.install_aliases()
-from builtins import range
-from .BaseTDEM import BaseTDEMProblem, FieldsTDEM
+from BaseTDEM import BaseTDEMProblem, FieldsTDEM
 from SimPEG.Utils import mkvc, sdiag
 import numpy as np
-from .SurveyTDEM import SurveyTDEM
+from SurveyTDEM import SurveyTDEM
 
 
 class FieldsTDEM_e_from_b(FieldsTDEM):

SimPEG/EM/TDEM/__init__.py

@@ -1,9 +1,3 @@
-from __future__ import absolute_import
-from __future__ import unicode_literals
-from __future__ import print_function
-from __future__ import division
-from future import standard_library
-standard_library.install_aliases()
-from .SurveyTDEM import * #SurveyTDEM, RxTDEM, SrcTDEM
-from .BaseTDEM import BaseTDEMProblem, FieldsTDEM
-from .TDEM_b import ProblemTDEM_b
+from SurveyTDEM import * #SurveyTDEM, RxTDEM, SrcTDEM
+from BaseTDEM import BaseTDEMProblem, FieldsTDEM
+from TDEM_b import ProblemTDEM_b

SimPEG/EM/Utils/AnalyticUtils.py

@@ -1,10 +1,3 @@
-from __future__ import division
-from __future__ import unicode_literals
-from __future__ import print_function
-from __future__ import absolute_import
-from future import standard_library
-standard_library.install_aliases()
-from builtins import range
 from SimPEG import *
 from scipy.special import ellipk, ellipe
 from scipy.constants import mu_0, pi
@@ -24,7 +17,7 @@ def MagneticDipoleVectorPotential(srcLoc, obsLoc, component, moment=1., dipoleMo
     #TODO: break this out!
 
     if type(component) in [list, tuple]:
-        out = list(range(len(component)))
+        out = range(len(component))
         for i, comp in enumerate(component):
             out[i] = MagneticDipoleVectorPotential(srcLoc, obsLoc, comp, dipoleMoment=dipoleMoment)
         return np.concatenate(out)
@@ -125,7 +118,7 @@ def MagneticLoopVectorPotential(srcLoc, obsLoc, component, radius, mu=mu_0):
     """
 
     if type(component) in [list, tuple]:
-        out = list(range(len(component)))
+        out = range(len(component))
         for i, comp in enumerate(component):
             out[i] = MagneticLoopVectorPotential(srcLoc, obsLoc, comp, radius, mu)
         return np.concatenate(out)
@@ -165,11 +158,11 @@ def MagneticLoopVectorPotential(srcLoc, obsLoc, component, radius, mu=mu_0):
             # % 1/r singular at r = 0 and K(m) singular at m = 1
             Aphi = np.zeros(n)
             # % Common factor is (mu * I) / pi with I = 1 and mu = 4e-7 * pi.
-            Aphi[ind] = 4e-7 / np.sqrt(m[ind])  * np.sqrt(radius/ r[ind]) *((1. - m[ind] / 2.) * K[ind] - E[ind])
+            Aphi[ind] = 4e-7 / np.sqrt(m[ind])  * np.sqrt(radius / r[ind]) *((1. - m[ind] / 2.) * K[ind] - E[ind])
             if component == 'x':
-                A[ind, i] = Aphi[ind] * (-y[ind] / r[ind])
+                A[ind, i] = Aphi[ind] * (-y[ind] / r[ind] )
             elif component == 'y':
-                A[ind, i] = Aphi[ind] * (x[ind] / r[ind])
+                A[ind, i] = Aphi[ind] * ( x[ind] / r[ind] )
             else:
                 raise ValueError('Invalid component')
 

SimPEG/EM/Utils/EMUtils.py

@@ -1,9 +1,3 @@
-from __future__ import division
-from __future__ import unicode_literals
-from __future__ import print_function
-from __future__ import absolute_import
-from future import standard_library
-standard_library.install_aliases()
 import numpy as np
 from scipy.constants import mu_0, epsilon_0
 
@@ -15,8 +9,8 @@ def omega(freq):
 def k(freq, sigma, mu=mu_0, eps=epsilon_0):
     """ Eq 1.47 - 1.49 in Ward and Hohmann """
     w = omega(freq)
-    alp  = w * np.sqrt( mu*eps/2 * ( np.sqrt(1. + (sigma / (eps*w)))**2 ) + 1)
-    beta = w * np.sqrt( mu*eps/2 * ( np.sqrt(1. + (sigma / (eps*w)))**2 ) - 1)
+    alp  = w * np.sqrt( mu*eps/2 * ( np.sqrt(1. + (sigma / (eps*w))**2 ) + 1) ) 
+    beta = w * np.sqrt( mu*eps/2 * ( np.sqrt(1. + (sigma / (eps*w))**2 ) - 1) ) 
     return alp - 1j*beta
 
 

SimPEG/EM/Utils/__init__.py

@@ -1,8 +1,2 @@
-from __future__ import absolute_import
-from __future__ import unicode_literals
-from __future__ import print_function
-from __future__ import division
-from future import standard_library
-standard_library.install_aliases()
-from .EMUtils import omega, k
-from .AnalyticUtils import MagneticDipoleFields, MagneticDipoleVectorPotential, MagneticLoopVectorPotential
+from EMUtils import omega, k
+from AnalyticUtils import MagneticDipoleFields, MagneticDipoleVectorPotential, MagneticLoopVectorPotential

SimPEG/EM/Utils/testingUtils.py

@@ -1,10 +1,3 @@
-from __future__ import print_function
-from __future__ import division
-from __future__ import unicode_literals
-from __future__ import absolute_import
-from builtins import int
-from future import standard_library
-standard_library.install_aliases()
 import unittest
 from SimPEG import *
 from SimPEG import EM
@@ -65,7 +58,7 @@ def getFDEMProblem(fdemType, comp, SrcList, freq, useMu=False, verbose=False):
                 Src.append(EM.FDEM.Src.RawVec([rx0], freq, mesh.getEdgeInnerProduct()*S_m, S_e))
 
     if verbose:
-        print('  Fetching %s problem' % (fdemType))
+        print '  Fetching {0!s} problem'.format((fdemType))
 
     if fdemType == 'e':
         survey = EM.FDEM.Survey(Src)
@@ -90,7 +83,7 @@ def getFDEMProblem(fdemType, comp, SrcList, freq, useMu=False, verbose=False):
     try:
         from pymatsolver import MumpsSolver
         prb.Solver = MumpsSolver
-    except ImportError as e:
+    except ImportError, e:
         prb.Solver = SolverLU
 
     return prb
@@ -101,7 +94,7 @@ def crossCheckTest(SrcList, fdemType1, fdemType2, comp, addrandoms = False, useM
 
     prb1 = getFDEMProblem(fdemType1, comp, SrcList, freq, useMu, verbose)
     mesh = prb1.mesh
-    print('Cross Checking Forward: %s, %s formulations - %s' % (fdemType1, fdemType2, comp))
+    print 'Cross Checking Forward: {0!s}, {1!s} formulations - {2!s}'.format(fdemType1, fdemType2, comp)
 
     logsig = np.log(np.ones(mesh.nC)*CONDUCTIVITY)
     mu = np.ones(mesh.nC)*MU
@@ -119,7 +112,7 @@ def crossCheckTest(SrcList, fdemType1, fdemType2, comp, addrandoms = False, useM
     d1 = survey1.dpred(m)
 
     if verbose:
-        print('  Problem 1 solved')
+        print '  Problem 1 solved'
 
 
     prb2 = getFDEMProblem(fdemType2, comp, SrcList, freq, useMu, verbose)
@@ -128,11 +121,11 @@ def crossCheckTest(SrcList, fdemType1, fdemType2, comp, addrandoms = False, useM
     d2 = survey2.dpred(m)
 
     if verbose:
-        print('  Problem 2 solved')
+        print '  Problem 2 solved'
 
     r = d2-d1
     l2r = l2norm(r)
 
     tol = np.max([TOL*(10**int(np.log10(0.5* (l2norm(d1) + l2norm(d2)) ))),FLR])
-    print(l2norm(d1), l2norm(d2),  l2r , tol, l2r < tol)
+    print l2norm(d1), l2norm(d2),  l2r , tol, l2r < tol
     return l2r < tol

SimPEG/EM/__init__.py

@@ -1,13 +1,7 @@
-from __future__ import absolute_import
-from __future__ import unicode_literals
-from __future__ import print_function
-from __future__ import division
-from future import standard_library
-standard_library.install_aliases()
-from . import TDEM
-from . import FDEM
-from . import Static
-from . import Base
-from . import Analytics
-from . import Utils
+import TDEM
+import FDEM
+import Static
+import Base
+import Analytics
+import Utils
 from scipy.constants import mu_0, epsilon_0

SimPEG/Examples/DC_Analytic_Dipole.py

@@ -1,9 +1,3 @@
-from __future__ import print_function
-from __future__ import division
-from __future__ import unicode_literals
-from __future__ import absolute_import
-from future import standard_library
-standard_library.install_aliases()
 from SimPEG import *
 import SimPEG.EM.Static.DC as DC
 
@@ -35,7 +29,7 @@ def run(plotIt=True):
     try:
         from pymatsolver import MumpsSolver
         problem.Solver = MumpsSolver
-    except Exception as e:
+    except Exception, e:
         pass
     data = survey.dpred(sigma)
 
@@ -67,8 +61,8 @@ def run(plotIt=True):
         ax[0].set_title('Computed')
         plt.show()
 
-    return np.linalg.norm(data-data_ana) / np.linalg.norm(data_ana)
+    return np.linalg.norm(data-data_ana)/np.linalg.norm(data_ana)
 
 
 if __name__ == '__main__':
-    print(run())
+    print run()

SimPEG/Examples/DC_Forward_PseudoSection.py

@@ -1,11 +1,3 @@
-from __future__ import print_function
-from __future__ import division
-from __future__ import unicode_literals
-from __future__ import absolute_import
-from builtins import int
-from future import standard_library
-standard_library.install_aliases()
-from builtins import range
 from SimPEG import Mesh, Utils, np, sp
 import SimPEG.DCIP as DC
 import time
@@ -65,7 +57,7 @@ def run(loc=None, sig=None, radi=None, param=None, surveyType='dipole-dipole', u
     model[ind] = sig[2]
 
     # Get index of the center
-    indy = int(mesh.nCy // 2)
+    indy = int(mesh.nCy/2)
 
     # Plot the model for reference
     # Define core mesh extent
@@ -132,10 +124,10 @@ def run(loc=None, sig=None, radi=None, param=None, surveyType='dipole-dipole', u
             tx =  np.squeeze(Tx[ii][:,0:1])
             tinf = tx + np.array([dl_x,dl_y,0])*dl_len*2
             inds = Utils.closestPoints(mesh, np.c_[tx,tinf].T)
-            RHS = mesh.getInterpolationMat(np.asarray(Tx[ii]).T, 'CC').T*([-1] / mesh.vol[inds])
+            RHS = mesh.getInterpolationMat(np.asarray(Tx[ii]).T, 'CC').T*( [-1] / mesh.vol[inds] )
         else:
             inds = Utils.closestPoints(mesh, np.asarray(Tx[ii]).T )
-            RHS = mesh.getInterpolationMat(np.asarray(Tx[ii]).T, 'CC').T*([-1,1] / mesh.vol[inds])
+            RHS = mesh.getInterpolationMat(np.asarray(Tx[ii]).T, 'CC').T*( [-1,1] / mesh.vol[inds] )
 
         # Iterative Solve
         Ainvb = sp.linalg.bicgstab(P*A,P*RHS, tol=1e-5)
@@ -151,10 +143,10 @@ def run(loc=None, sig=None, radi=None, param=None, surveyType='dipole-dipole', u
         dtemp = (P1*phi - P2*phi)*np.pi
 
         data.append( dtemp )
-        print('\rTransmitter {0} of {1} -> Time:{2} sec'.format(ii,len(Tx),time.time()- start_time), end=' ')
+        print '\rTransmitter {0} of {1} -> Time:{2} sec'.format(ii,len(Tx),time.time()- start_time),
 
-    print('Transmitter {0} of {1}'.format(ii,len(Tx)))
-    print('Forward completed')
+    print 'Transmitter {0} of {1}'.format(ii,len(Tx))
+    print 'Forward completed'
 
     # Let's just convert the 3D format into 2D (distance along line) and plot
     survey2D = DC.convertObs_DC3D_to_2D(survey, np.ones(survey.nSrc) , 'Xloc')

SimPEG/Examples/EM_FDEM_1D_Inversion.py

@@ -1,9 +1,3 @@
-from __future__ import unicode_literals
-from __future__ import print_function
-from __future__ import division
-from __future__ import absolute_import
-from future import standard_library
-standard_library.install_aliases()
 from SimPEG import *
 import SimPEG.EM as EM
 from SimPEG.EM import mu_0
@@ -62,7 +56,7 @@ def run(plotIt=True):
     try:
         from pymatsolver import MumpsSolver
         prb.Solver = MumpsSolver
-    except ImportError as e:
+    except ImportError, e:
         prb.Solver = SolverLU
 
     prb.pair(survey)

SimPEG/Examples/EM_FDEM_Analytic_MagDipoleWholespace.py

@@ -1,9 +1,3 @@
-from __future__ import unicode_literals
-from __future__ import print_function
-from __future__ import division
-from __future__ import absolute_import
-from future import standard_library
-standard_library.install_aliases()
 from SimPEG import *
 import SimPEG.EM as EM
 

SimPEG/Examples/EM_Schenkel_Morrison_Casing.py

@@ -1,10 +1,3 @@
-from __future__ import print_function
-from __future__ import division
-from __future__ import unicode_literals
-from __future__ import absolute_import
-from future import standard_library
-standard_library.install_aliases()
-from builtins import range
 from SimPEG import *
 from SimPEG.EM import FDEM, Analytics, mu_0
 import time
@@ -74,8 +67,8 @@ def run(plotIt=True):
     casing_l = 300   # length of the casing
 
     casing_r = 0.1
-    casing_a = casing_r - casing_t / 2. # inner radius
-    casing_b = casing_r + casing_t / 2. # outer radius
+    casing_a = casing_r - casing_t/2. # inner radius
+    casing_b = casing_r + casing_t/2. # outer radius
     casing_z = np.r_[-casing_l,0.]
 
 
@@ -85,25 +78,25 @@ def run(plotIt=True):
     src_loc = np.r_[0.,0.,dsz]
     inf_loc = np.r_[0.,0.,1e4]
 
-    print('Skin Depth: ', [(500. / np.sqrt(sigmaback*_)) for _ in freqs])
+    print 'Skin Depth: ', [(500./np.sqrt(sigmaback*_)) for _ in freqs]
 
 
     # ------------------ MESH ------------------
     # fine cells near well bore
     csx1, csx2 = 2e-3, 60.
     pfx1, pfx2 = 1.3, 1.3
-    ncx1 = np.ceil(casing_b/csx1)+2
+    ncx1 = np.ceil(casing_b/csx1+2)
 
     # pad nicely to second cell size
-    npadx1 = np.log(csx2/csx1) // np.log(pfx1)
+    npadx1 = np.floor(np.log(csx2/csx1) / np.log(pfx1))
     hx1a,hx1b = Utils.meshTensor([(csx1,ncx1)]),Utils.meshTensor([(csx1,npadx1,pfx1)])
     dx1 = sum(hx1a)+sum(hx1b)
-    dx1 = dx1 // csx2
-    hx1b *= (dx1*csx2 - sum(hx1a)) / sum(hx1b)
+    dx1 = np.floor(dx1/csx2)
+    hx1b *= (dx1*csx2 - sum(hx1a))/sum(hx1b)
 
     # second chunk of mesh
     dx2 = 300. # uniform mesh out to here
-    ncx2 = np.ceil((dx2 - dx1) / csx2)
+    ncx2 = np.ceil((dx2 - dx1)/csx2)
     npadx2 = 45
     hx2a, hx2b = Utils.meshTensor([(csx2,ncx2)]), Utils.meshTensor([(csx2,npadx2,pfx2)])
     hx = np.hstack([hx1a,hx1b,hx2a,hx2b])
@@ -117,8 +110,8 @@ def run(plotIt=True):
     # Mesh
     mesh = Mesh.CylMesh([hx,1.,hz], [0.,0.,-np.sum(hz[:npadzu+ncz-nza])])
 
-    print('Mesh Extent xmax: %f,: zmin: %f, zmax: %f'%(mesh.vectorCCx.max(), mesh.vectorCCz.min(), mesh.vectorCCz.max()))
-    print('Number of cells', mesh.nC)
+    print 'Mesh Extent xmax: {0:f},: zmin: {1:f}, zmax: {2:f}'.format(mesh.vectorCCx.max(), mesh.vectorCCz.min(), mesh.vectorCCz.max())
+    print 'Number of cells', mesh.nC
 
     if plotIt is True:
         fig, ax = plt.subplots(1, 1, figsize=(6, 4))
@@ -231,7 +224,7 @@ def run(plotIt=True):
     # ------------- Solve ---------------------------
     t0 = time.time()
     fieldsCasing = problem.fields(sigCasing)
-    print('Time to solve 2 sources', time.time() - t0)
+    print 'Time to solve 2 sources', time.time() - t0
 
     # Plot current
 
@@ -258,9 +251,9 @@ def run(plotIt=True):
     in1_in = in1[np.r_[inds]]
     z_in = mesh.gridFz[inds_fz,2]
 
-    in0_in = in0_in.reshape([in0_in.shape[0]//3,3])
-    in1_in = in1_in.reshape([in1_in.shape[0]//3,3])
-    z_in = z_in.reshape([z_in.shape[0]//3,3])
+    in0_in = in0_in.reshape([in0_in.shape[0]/3,3])
+    in1_in = in1_in.reshape([in1_in.shape[0]/3,3])
+    z_in = z_in.reshape([z_in.shape[0]/3,3])
 
     I0 = in0_in.sum(1).real
     I1 = in1_in.sum(1).real

SimPEG/Examples/EM_TDEM_1D_Inversion.py

@@ -1,9 +1,3 @@
-from __future__ import unicode_literals
-from __future__ import print_function
-from __future__ import division
-from __future__ import absolute_import
-from future import standard_library
-standard_library.install_aliases()
 from SimPEG import *
 import SimPEG.EM as EM
 from SimPEG.EM import mu_0

SimPEG/Examples/FLOW_Richards_1D_Celia1990.py

@@ -1,9 +1,3 @@
-from __future__ import division
-from __future__ import unicode_literals
-from __future__ import print_function
-from __future__ import absolute_import
-from future import standard_library
-standard_library.install_aliases()
 from SimPEG import *
 from SimPEG.FLOW import Richards
 

SimPEG/Examples/Inversion_IRLS.py

@@ -1,11 +1,3 @@
-from __future__ import print_function
-from __future__ import division
-from __future__ import unicode_literals
-from __future__ import absolute_import
-from future import standard_library
-standard_library.install_aliases()
-from builtins import str
-from builtins import range
 from SimPEG import *
 
 
@@ -55,7 +47,7 @@ def run(N=100, plotIt=True):
 
     # Distance weighting
     wr = np.sum(prob.G**2.,axis=0)**0.5
-    wr = ( wr/np.max(wr))
+    wr = ( wr/np.max(wr) )
 
     dmis = DataMisfit.l2_DataMisfit(survey)
     dmis.Wd = 1./wd
@@ -67,15 +59,15 @@ def run(N=100, plotIt=True):
     reg.cell_weights = wr
 
     reg.mref = np.zeros(mesh.nC)
-
+    
 
     opt = Optimization.ProjectedGNCG(maxIter=100 ,lower=-2.,upper=2., maxIterLS = 20, maxIterCG= 10, tolCG = 1e-3)
     invProb = InvProblem.BaseInvProblem(dmis, reg, opt)
     update_Jacobi = Directives.Update_lin_PreCond()
-
+    
     # Set the IRLS directive, penalize the lowest 25 percentile of model values
     # Start with an l2-l2, then switch to lp-norms
-    norms   = [0., 0., 2., 2.]
+    norms   = [0., 0., 2., 2.]    
     IRLS = Directives.Update_IRLS( norms=norms, prctile = 25, maxIRLSiter = 15, minGNiter=3)
 
     inv = Inversion.BaseInversion(invProb, directiveList=[IRLS,betaest,update_Jacobi])
@@ -83,7 +75,7 @@ def run(N=100, plotIt=True):
     # Run inversion
     mrec = inv.run(m0)
 
-    print("Final misfit:" + str(invProb.dmisfit.eval(mrec)))
+    print "Final misfit:" + str(invProb.dmisfit.eval(mrec))
 
 
     if plotIt:

SimPEG/Examples/Inversion_Linear.py

@@ -1,10 +1,3 @@
-from __future__ import unicode_literals
-from __future__ import print_function
-from __future__ import division
-from __future__ import absolute_import
-from future import standard_library
-standard_library.install_aliases()
-from builtins import range
 from SimPEG import *
 
 

SimPEG/Examples/MT_1D_ForwardAndInversion.py

@@ -1,9 +1,3 @@
-from __future__ import division
-from __future__ import unicode_literals
-from __future__ import print_function
-from __future__ import absolute_import
-from future import standard_library
-standard_library.install_aliases()
 import SimPEG as simpeg
 import numpy as np
 import SimPEG.MT as MT

SimPEG/Examples/MT_3D_Foward.py

@@ -1,9 +1,3 @@
-from __future__ import unicode_literals
-from __future__ import print_function
-from __future__ import division
-from __future__ import absolute_import
-from future import standard_library
-standard_library.install_aliases()
 # Test script to use SimPEG.MT platform to forward model synthetic data.
 
 # Import

SimPEG/Examples/Maps_ComboMaps.py

@@ -1,10 +1,3 @@
-from __future__ import unicode_literals
-from __future__ import print_function
-from __future__ import division
-from __future__ import absolute_import
-from builtins import dict
-from future import standard_library
-standard_library.install_aliases()
 from SimPEG import Mesh, Maps, np
 
 def run(plotIt=True):

SimPEG/Examples/Maps_Mesh2Mesh.py

@@ -1,9 +1,3 @@
-from __future__ import division
-from __future__ import unicode_literals
-from __future__ import print_function
-from __future__ import absolute_import
-from future import standard_library
-standard_library.install_aliases()
 from SimPEG import Mesh, Maps, Utils
 
 def run(plotIt=True):

SimPEG/Examples/Mesh_Basic_ForwardDC.py

@@ -1,9 +1,3 @@
-from __future__ import unicode_literals
-from __future__ import print_function
-from __future__ import division
-from __future__ import absolute_import
-from future import standard_library
-standard_library.install_aliases()
 from SimPEG import Mesh, Utils, np, SolverLU
 
 def run(plotIt=True):

SimPEG/Examples/Mesh_Basic_PlotImage.py

@@ -1,9 +1,3 @@
-from __future__ import unicode_literals
-from __future__ import print_function
-from __future__ import division
-from __future__ import absolute_import
-from future import standard_library
-standard_library.install_aliases()
 from SimPEG import *
 
 def run(plotIt=True):

SimPEG/Examples/Mesh_Basic_Types.py

@@ -1,9 +1,3 @@
-from __future__ import unicode_literals
-from __future__ import print_function
-from __future__ import division
-from __future__ import absolute_import
-from future import standard_library
-standard_library.install_aliases()
 from SimPEG import *
 
 def run(plotIt=True):

SimPEG/Examples/Mesh_Operators_CahnHilliard.py

@@ -1,11 +1,3 @@
-from __future__ import print_function
-from __future__ import unicode_literals
-from __future__ import division
-from __future__ import absolute_import
-from builtins import int
-from future import standard_library
-standard_library.install_aliases()
-from builtins import zip
 from SimPEG import *
 
 def run(plotIt=True, n=60):
@@ -95,7 +87,7 @@ def run(plotIt=True, n=60):
         if elapsed > capture[jj]:
             PHIS += [(elapsed, phi.copy())]
             jj += 1
-        if ii % 10 == 0: print(ii, elapsed)
+        if ii % 10 == 0: print ii, elapsed
         ii += 1
 
     if plotIt:
@@ -106,7 +98,7 @@ def run(plotIt=True, n=60):
             ii = int(ii)
             out = M.plotImage(PHIS[ii][1],ax=ax)
             ax.axis('off')
-            ax.set_title('Elapsed Time: %4.1f'%PHIS[ii][0])
+            ax.set_title('Elapsed Time: {0:4.1f}'.format(PHIS[ii][0]))
         plt.show()
 
 if __name__ == '__main__':

SimPEG/Examples/Mesh_QuadTree_Creation.py

@@ -1,10 +1,3 @@
-from __future__ import unicode_literals
-from __future__ import print_function
-from __future__ import division
-from __future__ import absolute_import
-from future import standard_library
-standard_library.install_aliases()
-from builtins import range
 from SimPEG import *
 
 def run(plotIt=True):

SimPEG/Examples/Mesh_QuadTree_FaceDiv.py

@@ -1,11 +1,3 @@
-from __future__ import unicode_literals
-from __future__ import print_function
-from __future__ import division
-from __future__ import absolute_import
-from future import standard_library
-standard_library.install_aliases()
-from builtins import zip
-from builtins import range
 from SimPEG import *
 
 def run(plotIt=True, n=60):
@@ -36,16 +28,16 @@ def run(plotIt=True, n=60):
         axes[0].set_xlim([-1,17])
         axes[0].set_ylim([-1,17])
 
-        for ii, loc in zip(list(range(M.nC)),M.gridCC):
-            axes[0].text(loc[0]+0.2,loc[1],'%d'%ii, color='r')
+        for ii, loc in zip(range(M.nC),M.gridCC):
+            axes[0].text(loc[0]+0.2,loc[1],'{0:d}'.format(ii), color='r')
 
         axes[0].plot(M.gridFx[:,0],M.gridFx[:,1], 'g>')
-        for ii, loc in zip(list(range(M.nFx)),M.gridFx):
-            axes[0].text(loc[0]+0.2,loc[1],'%d'%ii, color='g')
+        for ii, loc in zip(range(M.nFx),M.gridFx):
+            axes[0].text(loc[0]+0.2,loc[1],'{0:d}'.format(ii), color='g')
 
         axes[0].plot(M.gridFy[:,0],M.gridFy[:,1], 'm^')
-        for ii, loc in zip(list(range(M.nFy)),M.gridFy):
-            axes[0].text(loc[0]+0.2,loc[1]+0.2,'%d'%(ii+M.nFx), color='m')
+        for ii, loc in zip(range(M.nFy),M.gridFy):
+            axes[0].text(loc[0]+0.2,loc[1]+0.2,'{0:d}'.format((ii+M.nFx)), color='m')
 
         axes[1].spy(M.faceDiv)
         axes[1].set_title('Face Divergence')

SimPEG/Examples/Mesh_QuadTree_HangingNodes.py

@@ -1,9 +1,3 @@
-from __future__ import unicode_literals
-from __future__ import print_function
-from __future__ import division
-from __future__ import absolute_import
-from future import standard_library
-standard_library.install_aliases()
 from SimPEG import *
 
 def run(plotIt=True):

SimPEG/Examples/Mesh_Tensor_Creation.py

@@ -1,9 +1,3 @@
-from __future__ import unicode_literals
-from __future__ import print_function
-from __future__ import division
-from __future__ import absolute_import
-from future import standard_library
-standard_library.install_aliases()
 from SimPEG import *
 
 def run(plotIt=True):

SimPEG/Examples/Utils_surface2ind_topo.py

@@ -1,9 +1,3 @@
-from __future__ import unicode_literals
-from __future__ import print_function
-from __future__ import division
-from __future__ import absolute_import
-from future import standard_library
-standard_library.install_aliases()
 from SimPEG import *
 from SimPEG.Utils import surface2ind_topo
 

SimPEG/Examples/__init__.py

@@ -1,35 +1,28 @@
-from __future__ import print_function
-from __future__ import absolute_import
-from __future__ import unicode_literals
-from __future__ import division
-from builtins import open
-from future import standard_library
-standard_library.install_aliases()
 # Run this file to add imports.
 
 ##### AUTOIMPORTS #####
-from . import DC_Analytic_Dipole
-from . import DC_Forward_PseudoSection
-from . import EM_FDEM_1D_Inversion
-from . import EM_FDEM_Analytic_MagDipoleWholespace
-from . import EM_Schenkel_Morrison_Casing
-from . import EM_TDEM_1D_Inversion
-from . import FLOW_Richards_1D_Celia1990
-from . import Inversion_IRLS
-from . import Inversion_Linear
-from . import Maps_ComboMaps
-from . import Maps_Mesh2Mesh
-from . import Mesh_Basic_ForwardDC
-from . import Mesh_Basic_PlotImage
-from . import Mesh_Basic_Types
-from . import Mesh_Operators_CahnHilliard
-from . import Mesh_QuadTree_Creation
-from . import Mesh_QuadTree_FaceDiv
-from . import Mesh_QuadTree_HangingNodes
-from . import Mesh_Tensor_Creation
-from . import MT_1D_ForwardAndInversion
-from . import MT_3D_Foward
-from . import Utils_surface2ind_topo
+import DC_Analytic_Dipole
+import DC_Forward_PseudoSection
+import EM_FDEM_1D_Inversion
+import EM_FDEM_Analytic_MagDipoleWholespace
+import EM_Schenkel_Morrison_Casing
+import EM_TDEM_1D_Inversion
+import FLOW_Richards_1D_Celia1990
+import Inversion_IRLS
+import Inversion_Linear
+import Maps_ComboMaps
+import Maps_Mesh2Mesh
+import Mesh_Basic_ForwardDC
+import Mesh_Basic_PlotImage
+import Mesh_Basic_Types
+import Mesh_Operators_CahnHilliard
+import Mesh_QuadTree_Creation
+import Mesh_QuadTree_FaceDiv
+import Mesh_QuadTree_HangingNodes
+import Mesh_Tensor_Creation
+import MT_1D_ForwardAndInversion
+import MT_3D_Foward
+import Utils_surface2ind_topo
 
 __examples__ = ["DC_Analytic_Dipole", "DC_Forward_PseudoSection", "EM_FDEM_1D_Inversion", "EM_FDEM_Analytic_MagDipoleWholespace", "EM_Schenkel_Morrison_Casing", "EM_TDEM_1D_Inversion", "FLOW_Richards_1D_Celia1990", "Inversion_IRLS", "Inversion_Linear", "Maps_ComboMaps", "Maps_Mesh2Mesh", "Mesh_Basic_ForwardDC", "Mesh_Basic_PlotImage", "Mesh_Basic_Types", "Mesh_Operators_CahnHilliard", "Mesh_QuadTree_Creation", "Mesh_QuadTree_FaceDiv", "Mesh_QuadTree_HangingNodes", "Mesh_Tensor_Creation", "MT_1D_ForwardAndInversion", "MT_3D_Foward", "Utils_surface2ind_topo"]
 
@@ -66,7 +59,7 @@ if __name__ == '__main__':
         if line == "##### AUTOIMPORTS #####\n":
             inimports = not inimports
             if inimports:
-                out += '\n'.join(["import %s"%_ for _ in exfiles])
+                out += '\n'.join(["import {0!s}".format(_) for _ in exfiles])
                 out += '\n\n__examples__ = ["' + '", "'.join(exfiles)+ '"]\n'
                 out += '\n##### AUTOIMPORTS #####\n'
     f.close()
@@ -83,11 +76,11 @@ if __name__ == '__main__':
 
         docstr = runFunction.__doc__
         if docstr is None:
-            doc = '%s\n%s'%(name.replace('_',' '),'='*len(name))
+            doc = '{0!s}\n{1!s}'.format(name.replace('_',' '), '='*len(name))
         else:
             doc = '\n'.join([_[8:].rstrip() for _ in docstr.split('\n')])
 
-        out = """.. _examples_%s:
+        out = """.. _examples_{0!s}:
 
 .. --------------------------------- ..
 ..                                   ..
@@ -97,21 +90,21 @@ if __name__ == '__main__':
 ..                                   ..
 .. --------------------------------- ..
 
-%s
+{1!s}
 
 .. plot::
 
     from SimPEG import Examples
-    Examples.%s.run()
+    Examples.{2!s}.run()
 
-.. literalinclude:: ../../../SimPEG/Examples/%s.py
+.. literalinclude:: ../../../SimPEG/Examples/{3!s}.py
     :language: python
     :linenos:
-"""%(name,doc,name,name)
+""".format(name, doc, name, name)
 
         rst = os.path.sep.join((filePath.split(os.path.sep)[:-3] + ['docs', 'content', 'examples', name + '.rst']))
 
-        print('Creating: %s.rst'%name)
+        print 'Creating: {0!s}.rst'.format(name)
         f = open(rst, 'w')
         f.write(out)
         f.close()

SimPEG/FLOW/Richards/Empirical.py

@@ -1,20 +1,14 @@
-from __future__ import division
-from __future__ import unicode_literals
-from __future__ import print_function
-from __future__ import absolute_import
-from future import standard_library
-standard_library.install_aliases()
-from builtins import object
 from SimPEG import Mesh, Maps, Utils, np
-from future.utils import with_metaclass
 
 
-class NonLinearMap(with_metaclass(Utils.SimPEGMetaClass, object)):
+class NonLinearMap(object):
     """
     SimPEG NonLinearMap
 
     """
 
+    __metaclass__ = Utils.SimPEGMetaClass
+
     counter = None   #: A SimPEG.Utils.Counter object
     mesh = None      #: A SimPEG Mesh
 
@@ -122,7 +116,7 @@ class RichardsMap(object):
         ax.semilogx(self.k(h, m), h)
 
     def _assertMatchesPair(self, pair):
-        assert isinstance(self, pair), "Mapping object must be an instance of a %s class."%(pair.__name__)
+        assert isinstance(self, pair), "Mapping object must be an instance of a {0!s} class.".format((pair.__name__))
 
 
 
@@ -192,7 +186,7 @@ class _haverkamp_theta(NonLinearMap):
 
     def transformDerivU(self, u, m):
         self.setModel(m)
-        g = (self.alpha*((self.theta_s - self.theta_r) /
+        g = (self.alpha*((self.theta_s - self.theta_r)/
              (self.alpha + abs(u)**self.beta)**2)
              *(-self.beta*abs(u)**(self.beta-1)*np.sign(u)))
         g[u >= 0] = 0
@@ -279,7 +273,7 @@ class _vangenuchten_theta(NonLinearMap):
     def transform(self, u, m):
         self.setModel(m)
         m = 1 - 1.0/self.n
-        f = ((  self.theta_s  -  self.theta_r  ) /
+        f = ((  self.theta_s  -  self.theta_r  )/
              ((1+abs(self.alpha*u)**self.n)**m)   +  self.theta_r)
         if Utils.isScalar(self.theta_s):
             f[u >= 0] = self.theta_s
@@ -349,7 +343,7 @@ class _vangenuchten_k(NonLinearMap):
         Ks = self.Ks
         m = 1.0 - 1.0/n
 
-        g = I*alpha*n*np.exp(Ks)*abs(alpha*u)**(n - 1.0)*np.sign(alpha*u)*(1.0/n - 1.0)*((abs(alpha*u)**n + 1)**(1.0/n - 1))**(I - 1)*((1 - 1.0/((abs(alpha*u)**n + 1)**(1.0/n - 1))**(1.0/(1.0/n - 1)))**(1 - 1.0/n) - 1)**2*(abs(alpha*u)**n + 1)**(1.0/n - 2) - (2*alpha*n*np.exp(Ks)*abs(alpha*u)**(n - 1)*np.sign(alpha*u)*(1.0/n - 1)*((abs(alpha*u)**n + 1)**(1.0/n - 1))**I*((1 - 1.0/((abs(alpha*u)**n + 1)**(1.0/n - 1))**(1.0/(1.0/n - 1)))**(1 - 1.0/n) - 1)*(abs(alpha*u)**n + 1)**(1.0/n - 2))/(((abs(alpha*u)**n + 1)**(1.0/n - 1))**(1.0/(1.0/n - 1))+ 1)*(1 - 1.0/((abs(alpha*u)**n + 1)**(1.0/n - 1))**(1.0/(1.0/n - 1)))**(1.0/n)
+        g = I*alpha*n*np.exp(Ks)*abs(alpha*u)**(n - 1.0)*np.sign(alpha*u)*(1.0/n - 1.0)*((abs(alpha*u)**n + 1)**(1.0/n - 1))**(I - 1)*((1 - 1.0/((abs(alpha*u)**n + 1)**(1.0/n - 1))**(1.0/(1.0/n - 1)))**(1 - 1.0/n) - 1)**2*(abs(alpha*u)**n + 1)**(1.0/n - 2) - (2*alpha*n*np.exp(Ks)*abs(alpha*u)**(n - 1)*np.sign(alpha*u)*(1.0/n - 1)*((abs(alpha*u)**n + 1)**(1.0/n - 1))**I*((1 - 1.0/((abs(alpha*u)**n + 1)**(1.0/n - 1))**(1.0/(1.0/n - 1)))**(1 - 1.0/n) - 1)*(abs(alpha*u)**n + 1)**(1.0/n - 2))/(((abs(alpha*u)**n + 1)**(1.0/n - 1))**(1.0/(1.0/n - 1) + 1)*(1 - 1.0/((abs(alpha*u)**n + 1)**(1.0/n - 1))**(1.0/(1.0/n - 1)))**(1.0/n))
         g[u >= 0] = 0
         g = Utils.sdiag(g)
         return g

SimPEG/FLOW/Richards/RichardsProblem.py

@@ -1,12 +1,5 @@
-from __future__ import print_function
-from __future__ import absolute_import
-from __future__ import division
-from __future__ import unicode_literals
-from future import standard_library
-standard_library.install_aliases()
-from builtins import range
 from SimPEG import *
-from .Empirical import RichardsMap
+from Empirical import RichardsMap
 import time
 
 
@@ -68,7 +61,7 @@ class RichardsSurvey(Survey.BaseSurvey):
 
     @Utils.requires('prob')
     def eval(self, U, m):
-        Ds = list(range(len(self.rxList)))
+        Ds = range(len(self.rxList))
         for ii, rx in enumerate(self.rxList):
             Ds[ii] = rx.eval(U, m,
                                 self.prob.mapping,
@@ -80,7 +73,7 @@ class RichardsSurvey(Survey.BaseSurvey):
     @Utils.requires('prob')
     def evalDeriv(self, U, m):
         """The Derivative with respect to the fields."""
-        Ds = list(range(len(self.rxList)))
+        Ds = range(len(self.rxList))
         for ii, rx in enumerate(self.rxList):
             Ds[ii] = rx.evalDeriv(U, m,
                                 self.prob.mapping,
@@ -142,12 +135,12 @@ class RichardsProblem(Problem.BaseTimeProblem):
     @Utils.timeIt
     def fields(self, m):
         tic = time.time()
-        u = list(range(self.nT+1))
+        u = range(self.nT+1)
         u[0] = self.initialConditions
         for ii, dt in enumerate(self.timeSteps):
             bc = self.getBoundaryConditions(ii, u[ii])
             u[ii+1] = self.rootFinder.root(lambda hn1m, return_g=True: self.getResidual(m, u[ii], hn1m, dt, bc, return_g=return_g), u[ii])
-            if self.debug: print("Solving Fields (%4d/%d - %3.1f%% Done) %d Iterations, %4.2f seconds"%(ii+1, self.nT, 100.0*(ii+1)/self.nT, self.rootFinder.iter, time.time() - tic))
+            if self.debug: print "Solving Fields ({0:4d}/{1:d} - {2:3.1f}% Done) {3:d} Iterations, {4:4.2f} seconds".format(ii+1, self.nT, 100.0*(ii+1)/self.nT, self.rootFinder.iter, time.time() - tic)
         return u
 
     @Utils.timeIt
@@ -245,7 +238,7 @@ class RichardsProblem(Problem.BaseTimeProblem):
             f = self.fields(m)
 
         nn = len(f)-1
-        Asubs, Adiags, Bs = list(range(nn)), list(range(nn)), list(range(nn))
+        Asubs, Adiags, Bs = range(nn), range(nn), range(nn)
         for ii in range(nn):
             dt = self.timeSteps[ii]
             bc = self.getBoundaryConditions(ii, f[ii])
@@ -270,7 +263,7 @@ class RichardsProblem(Problem.BaseTimeProblem):
         if f is None:
             f = self.fields(m)
 
-        JvC = list(range(len(f)-1)) # Cell to hold each row of the long vector.
+        JvC = range(len(f)-1) # Cell to hold each row of the long vector.
 
         # This is done via forward substitution.
         bc = self.getBoundaryConditions(0, f[0])
@@ -302,7 +295,7 @@ class RichardsProblem(Problem.BaseTimeProblem):
             bc = self.getBoundaryConditions(ii-1, f[ii-1])
             Asub, Adiag, B = self.diagsJacobian(m, f[ii-1], f[ii], self.timeSteps[ii-1], bc)
             #select the correct part of v
-            vpart = list(range((ii)*Adiag.shape[0], (ii+1)*Adiag.shape[0]))
+            vpart = range((ii)*Adiag.shape[0], (ii+1)*Adiag.shape[0])
             AdiaginvT = self.Solver(Adiag.T, **self.solverOpts)
             JTvC = AdiaginvT * (PTv[vpart] - minus)
             minus = Asub.T*JTvC  # this is now the super diagonal.

SimPEG/FLOW/Richards/__init__.py

@@ -1,8 +1,2 @@
-from __future__ import absolute_import
-from __future__ import unicode_literals
-from __future__ import print_function
-from __future__ import division
-from future import standard_library
-standard_library.install_aliases()
-from . import Empirical
-from .RichardsProblem import *
+import Empirical
+from RichardsProblem import *

SimPEG/FLOW/__init__.py

@@ -1,7 +1 @@
-from __future__ import absolute_import
-from __future__ import unicode_literals
-from __future__ import print_function
-from __future__ import division
-from future import standard_library
-standard_library.install_aliases()
-from . import Richards
+import Richards

SimPEG/Fields.py

@@ -1,13 +1,4 @@
-from __future__ import division
-from __future__ import unicode_literals
-from __future__ import print_function
-from __future__ import absolute_import
-from future import standard_library
-standard_library.install_aliases()
-from builtins import range
-from builtins import object
-from . import Utils
-import numpy as np, scipy.sparse as sp
+import Utils, numpy as np, scipy.sparse as sp
 
 class Fields(object):
     """Fancy Field Storage
@@ -46,7 +37,7 @@ class Fields(object):
         for f in self.knownFields:
             loc =self.knownFields[f]
             sz += np.array(self._storageShape(loc)).prod()*8.0/(1024**2)
-        return "%e MB"%sz
+        return "{0:e} MB".format(sz)
 
     def _storageShape(self, loc):
         nSrc = self.survey.nSrc
@@ -93,12 +84,12 @@ class Fields(object):
             return
         if accessType=='set' and name not in self.knownFields:
             if name in self.aliasFields:
-                raise KeyError("Invalid field name (%s) for setter, you can't set an aliased property"%name)
+                raise KeyError("Invalid field name ({0!s}) for setter, you can't set an aliased property".format(name))
             else:
-                raise KeyError('Invalid field name (%s) for setter'%name)
+                raise KeyError('Invalid field name ({0!s}) for setter'.format(name))
 
         elif accessType=='get' and (name not in self.knownFields and name not in self.aliasFields):
-            raise KeyError('Invalid field name (%s) for getter'%name)
+            raise KeyError('Invalid field name ({0!s}) for getter'.format(name))
         return name
 
     def _indexAndNameFromKey(self, key, accessType):
@@ -253,7 +244,7 @@ class TimeFields(Fields):
                 out = func(pointerFields, srcII, timeII)
             else: #loop over the time steps
                 nT = pointerShape[2]
-                out = list(range(nT))
+                out = range(nT)
                 for i, TIND_i in enumerate(timeII):
                     fieldI = pointerFields[:,:,i]
                     if fieldI.shape[0] == fieldI.size:

SimPEG/InvProblem.py

@@ -1,21 +1,14 @@
-from __future__ import print_function
-from __future__ import absolute_import
-from __future__ import unicode_literals
-from __future__ import division
-from future import standard_library
-standard_library.install_aliases()
-from builtins import object
-from . import Utils, Survey, Problem
-import numpy as np, scipy.sparse as sp, gc
-from .Utils.SolverUtils import *
-from . import DataMisfit
-from . import Regularization
-from future.utils import with_metaclass
+import Utils, Survey, Problem, numpy as np, scipy.sparse as sp, gc
+from Utils.SolverUtils import *
+import DataMisfit
+import Regularization
 
 
-class BaseInvProblem(with_metaclass(Utils.SimPEGMetaClass, object)):
+class BaseInvProblem(object):
     """BaseInvProblem(dmisfit, reg, opt)"""
 
+    __metaclass__ = Utils.SimPEGMetaClass
+
     beta    = 1.0    #: Trade-off parameter
 
     debug   = False  #: Print debugging information
@@ -61,10 +54,10 @@ class BaseInvProblem(with_metaclass(Utils.SimPEGMetaClass, object)):
 
             Called when inversion is first starting.
         """
-        if self.debug: print('Calling InvProblem.startup')
+        if self.debug: print 'Calling InvProblem.startup'
 
         if self.reg.mref is None:
-            print('SimPEG.InvProblem will set Regularization.mref to m0.')
+            print 'SimPEG.InvProblem will set Regularization.mref to m0.'
             self.reg.mref = m0
 
         self.phi_d = np.nan
@@ -72,8 +65,8 @@ class BaseInvProblem(with_metaclass(Utils.SimPEGMetaClass, object)):
 
         self.curModel = m0
 
-        print("""SimPEG.InvProblem is setting bfgsH0 to the inverse of the eval2Deriv.
-                    ***Done using same Solver and solverOpts as the problem***""")
+        print """SimPEG.InvProblem is setting bfgsH0 to the inverse of the eval2Deriv.
+                    ***Done using same Solver and solverOpts as the problem***"""
         self.opt.bfgsH0 = self.prob.Solver(self.reg.eval2Deriv(self.curModel), **self.prob.solverOpts)
 
     @property
@@ -94,7 +87,7 @@ class BaseInvProblem(with_metaclass(Utils.SimPEGMetaClass, object)):
         for mtest, u_ofmtest in self.warmstart:
             if m is mtest:
                 f = u_ofmtest
-                if self.debug: print('InvProb is Warm Starting!')
+                if self.debug: print 'InvProb is Warm Starting!'
                 break
 
         if f is None:

SimPEG/Inversion.py

@@ -1,24 +1,18 @@
-from __future__ import absolute_import
-from __future__ import unicode_literals
-from __future__ import print_function
-from __future__ import division
-from future import standard_library
-standard_library.install_aliases()
-from builtins import object
 import SimPEG
 from SimPEG import Utils, sp, np
-from .Optimization import Remember, IterationPrinters, StoppingCriteria
-from . import Directives
-from future.utils import with_metaclass
+from Optimization import Remember, IterationPrinters, StoppingCriteria
+import Directives
 
 
-class BaseInversion(with_metaclass(Utils.SimPEGMetaClass, object)):
+class BaseInversion(object):
     """
 
         Inversion Class.
 
     """
 
+    __metaclass__ = Utils.SimPEGMetaClass
+
     name = 'BaseInversion'
 
     debug   = False    #: Print debugging information

SimPEG/MT/BaseMT.py

@@ -1,13 +1,7 @@
-from __future__ import absolute_import
-from __future__ import unicode_literals
-from __future__ import print_function
-from __future__ import division
-from future import standard_library
-standard_library.install_aliases()
 from SimPEG import SolverLU as SimpegSolver, PropMaps, Utils, mkvc, sp, np
 from SimPEG.EM.FDEM.ProblemFDEM import BaseFDEMProblem
-from .SurveyMT import Survey, Data
-from .FieldsMT import BaseMTFields
+from SurveyMT import Survey, Data
+from FieldsMT import BaseMTFields
 
 
 class BaseMTProblem(BaseFDEMProblem):

SimPEG/MT/FieldsMT.py

@@ -1,9 +1,3 @@
-from __future__ import division
-from __future__ import unicode_literals
-from __future__ import print_function
-from __future__ import absolute_import
-from future import standard_library
-standard_library.install_aliases()
 from SimPEG import Survey, Utils, Problem, np, sp, mkvc
 from scipy.constants import mu_0
 import sys
@@ -69,7 +63,7 @@ class Fields1D_e(BaseMTFields):
         C = self.mesh.nodalGrad
         b = (C * eSolution)
         for i, src in enumerate(srcList):
-            b[:,i] *= -1./(1j*omega(src.freq))
+            b[:,i] *= - 1./(1j*omega(src.freq))
             # There is no magnetic source in the MT problem
             # S_m, _ = src.eval(self.survey.prob)
             # if S_m is not None:
@@ -194,7 +188,7 @@ class Fields3D_e(BaseMTFields):
             # adjoint: returns a 2*nE long vector with zero's for py
             return np.vstack((v,np.zeros_like(v)))
         # Not adjoint: return only the px part of the vector
-        return v[:len(v)//2]
+        return v[:len(v)/2]
 
     def _e_pyDeriv_u(self, src, v, adjoint = False):
         '''
@@ -204,7 +198,7 @@ class Fields3D_e(BaseMTFields):
             # adjoint: returns a 2*nE long vector with zero's for px
             return np.vstack((np.zeros_like(v),v))
         # Not adjoint: return only the px part of the vector
-        return v[len(v)//2::]
+        return v[len(v)/2::]
 
     def _e_pxDeriv_m(self, src, v, adjoint = False):
         # assuming primary does not depend on the model
@@ -233,7 +227,7 @@ class Fields3D_e(BaseMTFields):
         C = self.mesh.edgeCurl
         b = (C * e_pxSolution)
         for i, src in enumerate(srcList):
-            b[:,i] *= -1./(1j*omega(src.freq))
+            b[:,i] *= - 1./(1j*omega(src.freq))
             # There is no magnetic source in the MT problem
             # S_m, _ = src.eval(self.survey.prob)
             # if S_m is not None:
@@ -244,7 +238,7 @@ class Fields3D_e(BaseMTFields):
         C = self.mesh.edgeCurl
         b = (C * e_pySolution)
         for i, src in enumerate(srcList):
-            b[:,i] *= -1./(1j*omega(src.freq))
+            b[:,i] *= - 1./(1j*omega(src.freq))
             # There is no magnetic source in the MT problem
             # S_m, _ = src.eval(self.survey.prob)
             # if S_m is not None:
@@ -354,4 +348,4 @@ class Fields3D_e(BaseMTFields):
         This function stacks the fields derivatives appropriately
         """
         # The fields have no dependance to the model.
-        return None
+        return None

SimPEG/MT/Problem1D/Probs.py

@@ -1,9 +1,3 @@
-from __future__ import print_function
-from __future__ import division
-from __future__ import unicode_literals
-from __future__ import absolute_import
-from future import standard_library
-standard_library.install_aliases()
 from SimPEG.EM.Utils import omega
 from SimPEG import mkvc
 from scipy.constants import mu_0
@@ -52,7 +46,7 @@ class eForm_psField(BaseMTProblem):
             Edge inner product matrix
         """
         if getattr(self, '_MeMui', None) is None:
-            self._MeMui = self.mesh.getEdgeInnerProduct(old_div(1.0,mu_0))
+            self._MeMui = self.mesh.getEdgeInnerProduct(1.0/mu_0)
         return self._MeMui
 
     @property
@@ -148,7 +142,7 @@ class eForm_psField(BaseMTProblem):
         for freq in self.survey.freqs:
             if self.verbose:
                 startTime = time.time()
-                print('Starting work for {:.3e}'.format(freq))
+                print 'Starting work for {:.3e}'.format(freq)
                 sys.stdout.flush()
             A = self.getA(freq)
             rhs  = self.getRHS(freq)
@@ -164,7 +158,7 @@ class eForm_psField(BaseMTProblem):
             # b = -( self.mesh.nodalGrad * e )/( 1j*omega(freq) )
             # F[Src, 'b_1d'] = b[:,1]
             if self.verbose:
-                print('Ran for {:f} seconds'.format(time.time()-startTime))
+                print 'Ran for {:f} seconds'.format(time.time()-startTime)
                 sys.stdout.flush()
         return F
 
@@ -197,7 +191,7 @@ class eForm_TotalField(BaseMTProblem):
             Edge inner product matrix
         """
         if getattr(self, '_MeMui', None) is None:
-            self._MeMui = self.mesh.getEdgeInnerProduct(old_div(1.0,mu_0))
+            self._MeMui = self.mesh.getEdgeInnerProduct(1.0/mu_0)
         return self._MeMui
 
     @property
@@ -255,7 +249,7 @@ class eForm_TotalField(BaseMTProblem):
         Ed, Eu, Hd, Hu = getEHfields(self.mesh,self.curModel.sigma,freq,self.mesh.vectorNx)
         Etot = (Ed + Eu)
         sourceAmp = 1.0
-        Etot = ((old_div(Etot,Etot[-1]))*sourceAmp) # Scale the fields to be equal to sourceAmp at the top
+        Etot = ((Etot/Etot[-1])*sourceAmp) # Scale the fields to be equal to sourceAmp at the top
         ## Note: The analytic solution is derived with e^iwt
         eBC = np.r_[Etot[0],Etot[-1]]
         # The right hand side
@@ -280,7 +274,7 @@ class eForm_TotalField(BaseMTProblem):
         for freq in self.survey.freqs:
             if self.verbose:
                 startTime = time.time()
-                print('Starting work for {:.3e}'.format(freq))
+                print 'Starting work for {:.3e}'.format(freq)
                 sys.stdout.flush()
             A = self.getA(freq)
             rhs, e_o = self.getRHS(freq)
@@ -292,6 +286,6 @@ class eForm_TotalField(BaseMTProblem):
             # NOTE: only store e fields
             F[Src, 'e_1dSolution'] = e[:,0]
             if self.verbose:
-                print('Ran for {:f} seconds'.format(time.time()-startTime))
+                print 'Ran for {:f} seconds'.format(time.time()-startTime)
                 sys.stdout.flush()
         return F

SimPEG/MT/Problem1D/__init__.py

@@ -1,7 +1 @@
-from __future__ import absolute_import
-from __future__ import unicode_literals
-from __future__ import print_function
-from __future__ import division
-from future import standard_library
-standard_library.install_aliases()
-from .Probs import eForm_TotalField, eForm_psField
+from Probs import eForm_TotalField, eForm_psField

SimPEG/MT/Problem2D/__init__.py

@@ -1,7 +1 @@
-from __future__ import unicode_literals
-from __future__ import print_function
-from __future__ import division
-from __future__ import absolute_import
-from future import standard_library
-standard_library.install_aliases()
 pass

SimPEG/MT/Problem3D/Probs.py

@@ -1,9 +1,3 @@
-from __future__ import print_function
-from __future__ import unicode_literals
-from __future__ import division
-from __future__ import absolute_import
-from future import standard_library
-standard_library.install_aliases()
 from SimPEG import Survey, Problem, Utils, Models, np, sp, mkvc, SolverLU as SimpegSolver
 from SimPEG.EM.Utils import omega
 from scipy.constants import mu_0
@@ -121,7 +115,7 @@ class eForm_ps(BaseMTProblem):
         for freq in self.survey.freqs:
             if self.verbose:
                 startTime = time.time()
-                print('Starting work for {:.3e}'.format(freq))
+                print 'Starting work for {:.3e}'.format(freq)
                 sys.stdout.flush()
             A = self.getA(freq)
             rhs  = self.getRHS(freq)
@@ -137,7 +131,7 @@ class eForm_ps(BaseMTProblem):
             # Note curl e = -iwb so b = -curl/iw
 
             if self.verbose:
-                print('Ran for {:f} seconds'.format(time.time()-startTime))
+                print 'Ran for {:f} seconds'.format(time.time()-startTime)
                 sys.stdout.flush()
             Ainv.clean()
         return F

SimPEG/MT/Problem3D/__init__.py

@@ -1,7 +1 @@
-from __future__ import absolute_import
-from __future__ import unicode_literals
-from __future__ import print_function
-from __future__ import division
-from future import standard_library
-standard_library.install_aliases()
-from .Probs import eForm_ps
+from Probs import eForm_ps

SimPEG/MT/SrcMT.py

@@ -1,16 +1,10 @@
-from __future__ import absolute_import
-from __future__ import division
-from __future__ import unicode_literals
-from __future__ import print_function
-from future import standard_library
-standard_library.install_aliases()
 from SimPEG import Utils, Problem, Maps, np, sp, mkvc
 from SimPEG.EM.FDEM.SrcFDEM import BaseSrc as FDEMBaseSrc
 from SimPEG.EM.Utils import omega
 from scipy.constants import mu_0
 from numpy.lib import recfunctions as recFunc
-from .Utils.sourceUtils import homo1DModelSource
-from .Utils import rec2ndarr
+from Utils.sourceUtils import homo1DModelSource
+from Utils import rec2ndarr
 import sys
 
 #################
@@ -84,7 +78,7 @@ class polxy_1Dprimary(BaseMTSrc):
             C = problem.mesh.nodalGrad
         elif problem.mesh.dim == 3:
             C = problem.mesh.edgeCurl
-        bBG_bp = (- C * self.ePrimary(problem) )*(1/(1j*omega(self.freq)))
+        bBG_bp = (- C * self.ePrimary(problem) )*(1/( 1j*omega(self.freq) ))
         return bBG_bp
 
     def S_e(self,problem):
@@ -161,7 +155,7 @@ class polxy_3Dprimary(BaseMTSrc):
             C = problem.mesh.nodalGrad
         elif problem.mesh.dim == 3:
             C = problem.mesh.edgeCurl
-        bBG_bp = (- C * self.ePrimary(problem) )*(1/(1j*omega(self.freq)))
+        bBG_bp = (- C * self.ePrimary(problem) )*(1/( 1j*omega(self.freq) ))
         return bBG_bp
 
     def S_e(self,problem):

SimPEG/MT/SurveyMT.py

@@ -1,16 +1,10 @@
-from __future__ import absolute_import
-from __future__ import division
-from __future__ import unicode_literals
-from __future__ import print_function
-from future import standard_library
-standard_library.install_aliases()
 from SimPEG import Survey as SimPEGsurvey, Utils, Problem, Maps, np, sp, mkvc
 from SimPEG.EM.FDEM.SrcFDEM import BaseSrc as FDEMBaseSrc
 from SimPEG.EM.Utils import omega
 from scipy.constants import mu_0
 from numpy.lib import recfunctions as recFunc
-from .Utils import rec2ndarr
-from . import SrcMT
+from Utils import rec2ndarr
+import SrcMT
 import sys
 
 #################
@@ -82,7 +76,7 @@ class Rx(SimPEGsurvey.BaseRx):
             bx = Pbx*mkvc(f[src,'b_1d'],2)/mu_0
             # Note: Has a minus sign in front, to comply with quadrant calculations.
             # Can be derived from zyx case for the 3D case.
-            f_part_complex = old_div(-ex,bx)
+            f_part_complex = -ex/bx
         # elif self.projType is 'Z2D':
         elif self.projType is 'Z3D':
             ## NOTE: Assumes that e is on edges and b on the faces. Need to generalize that or use a prop of fields to determine that.
@@ -109,13 +103,13 @@ class Rx(SimPEGsurvey.BaseRx):
             hy_py = Pby*f[src,'b_py']/mu_0
             # Make the complex data
             if 'zxx' in self.rxType:
-                f_part_complex = old_div(( ex_px*hy_py - ex_py*hy_px),(hx_px*hy_py - hx_py*hy_px))
+                f_part_complex = ( ex_px*hy_py - ex_py*hy_px)/(hx_px*hy_py - hx_py*hy_px)
             elif 'zxy' in self.rxType:
-                f_part_complex = old_div((-ex_px*hx_py + ex_py*hx_px),(hx_px*hy_py - hx_py*hy_px))
+                f_part_complex = (-ex_px*hx_py + ex_py*hx_px)/(hx_px*hy_py - hx_py*hy_px)
             elif 'zyx' in self.rxType:
-                f_part_complex = old_div(( ey_px*hy_py - ey_py*hy_px),(hx_px*hy_py - hx_py*hy_px))
+                f_part_complex = ( ey_px*hy_py - ey_py*hy_px)/(hx_px*hy_py - hx_py*hy_px)
             elif 'zyy' in self.rxType:
-                f_part_complex = old_div((-ey_px*hx_py + ey_py*hx_px),(hx_px*hy_py - hx_py*hy_px))
+                f_part_complex = (-ey_px*hx_py + ey_py*hx_px)/(hx_px*hy_py - hx_py*hy_px)
         elif self.projType is 'T3D':
             if self.locs.ndim == 3:
                 horLoc = self.locs[:,:,0]
@@ -133,9 +127,9 @@ class Rx(SimPEGsurvey.BaseRx):
             by_py = Pby*f[src,'b_py']
             bz_py = Pbz*f[src,'b_py']
             if 'tzx' in self.rxType:
-                f_part_complex = old_div((- by_px*bz_py + by_py*bz_px),(bx_px*by_py - bx_py*by_px))
+                f_part_complex = (- by_px*bz_py + by_py*bz_px)/(bx_px*by_py - bx_py*by_px)
             if 'tzy' in self.rxType:
-                f_part_complex = old_div((  bx_px*bz_py - bx_py*bz_px),(bx_px*by_py - bx_py*by_px))
+                f_part_complex = (  bx_px*bz_py - bx_py*bz_px)/(bx_px*by_py - bx_py*by_px)
 
         else:
             NotImplementedError('Projection of {:s} receiver type is not implemented.'.format(self.rxType))
@@ -163,8 +157,8 @@ class Rx(SimPEGsurvey.BaseRx):
                 Pbx = mesh.getInterpolationMat(self.locs[:,-1],'Ex')
                 # ex = Pex*mkvc(f[src,'e_1d'],2)
                 # bx = Pbx*mkvc(f[src,'b_1d'],2)/mu_0
-                dP_de = -mkvc(Utils.sdiag(old_div(1.,(Pbx*mkvc(f[src,'b_1d'],2)/mu_0)))*(Pex*v),2)
-                dP_db = mkvc( Utils.sdiag(Pex*mkvc(f[src,'e_1d'],2))*(Utils.sdiag(old_div(1.,(Pbx*mkvc(f[src,'b_1d'],2)/mu_0))).T*Utils.sdiag(old_div(1.,(Pbx*mkvc(f[src,'b_1d'],2)/mu_0))))*(Pbx*f._bDeriv_u(src,v)/mu_0),2)
+                dP_de = -mkvc(Utils.sdiag(1./(Pbx*mkvc(f[src,'b_1d'],2)/mu_0))*(Pex*v),2)
+                dP_db = mkvc( Utils.sdiag(Pex*mkvc(f[src,'e_1d'],2))*(Utils.sdiag(1./(Pbx*mkvc(f[src,'b_1d'],2)/mu_0)).T*Utils.sdiag(1./(Pbx*mkvc(f[src,'b_1d'],2)/mu_0)))*(Pbx*f._bDeriv_u(src,v)/mu_0),2)
                 PDeriv_complex = np.sum(np.hstack((dP_de,dP_db)),1)
             elif self.projType is 'Z2D':
                 raise NotImplementedError('Has not been implement for 2D impedance tensor')
@@ -204,7 +198,7 @@ class Rx(SimPEGsurvey.BaseRx):
                 # Update the input vector
                 sDiag = lambda t: Utils.sdiag(mkvc(t,2))
                 # Define the components of the derivative
-                Hd = sDiag(old_div(1.,(sDiag(hx_px)*hy_py - sDiag(hx_py)*hy_px)))
+                Hd = sDiag(1./(sDiag(hx_px)*hy_py - sDiag(hx_py)*hy_px))
                 Hd_uV = sDiag(hy_py)*hx_px_u(v) + sDiag(hx_px)*hy_py_u(v) - sDiag(hx_py)*hy_px_u(v) - sDiag(hy_px)*hx_py_u(v)
                 # Calculate components
                 if 'zxx' in self.rxType:
@@ -253,7 +247,7 @@ class Rx(SimPEGsurvey.BaseRx):
                 # Update the input vector
                 sDiag = lambda t: Utils.sdiag(mkvc(t,2))
                 # Define the components of the derivative
-                Hd = sDiag(old_div(1.,(sDiag(bx_px)*by_py - sDiag(bx_py)*by_px)))
+                Hd = sDiag(1./(sDiag(bx_px)*by_py - sDiag(bx_py)*by_px))
                 Hd_uV = sDiag(by_py)*bx_px_u(v) + sDiag(bx_px)*by_py_u(v) - sDiag(bx_py)*by_px_u(v) - sDiag(by_px)*bx_py_u(v)
                 if 'tzx' in self.rxType:
                     Tij = sDiag(Hd*( - sDiag(by_px)*bz_py + sDiag(by_py)*bz_px ))
@@ -273,8 +267,8 @@ class Rx(SimPEGsurvey.BaseRx):
                 Pbx = mesh.getInterpolationMat(self.locs[:,-1],'Ex')
                 # ex = Pex*mkvc(f[src,'e_1d'],2)
                 # bx = Pbx*mkvc(f[src,'b_1d'],2)/mu_0
-                dP_deTv = -mkvc(Pex.T*Utils.sdiag(old_div(1.,(Pbx*mkvc(f[src,'b_1d'],2)/mu_0))).T*v,2)
-                db_duv = Pbx.T/mu_0*Utils.sdiag(old_div(1.,(Pbx*mkvc(f[src,'b_1d'],2)/mu_0)))*(Utils.sdiag(old_div(1.,(Pbx*mkvc(f[src,'b_1d'],2)/mu_0)))).T*Utils.sdiag(Pex*mkvc(f[src,'e_1d'],2)).T*v
+                dP_deTv = -mkvc(Pex.T*Utils.sdiag(1./(Pbx*mkvc(f[src,'b_1d'],2)/mu_0)).T*v,2)
+                db_duv = Pbx.T/mu_0*Utils.sdiag(1./(Pbx*mkvc(f[src,'b_1d'],2)/mu_0))*(Utils.sdiag(1./(Pbx*mkvc(f[src,'b_1d'],2)/mu_0))).T*Utils.sdiag(Pex*mkvc(f[src,'e_1d'],2)).T*v
                 dP_dbTv = mkvc(f._bDeriv_u(src,db_duv,adjoint=True),2)
                 PDeriv_real = np.sum(np.hstack((dP_deTv,dP_dbTv)),1)
             elif self.projType is 'Z2D':
@@ -306,17 +300,17 @@ class Rx(SimPEGsurvey.BaseRx):
                 aey_px_u = lambda vec: f._e_pxDeriv_u(src,Pey.T*vec,adjoint=True)
                 aex_py_u = lambda vec: f._e_pyDeriv_u(src,Pex.T*vec,adjoint=True)
                 aey_py_u = lambda vec: f._e_pyDeriv_u(src,Pey.T*vec,adjoint=True)
-                ahx_px_u = lambda vec: old_div(f._b_pxDeriv_u(src,Pbx.T*vec,adjoint=True),mu_0)
-                ahy_px_u = lambda vec: old_div(f._b_pxDeriv_u(src,Pby.T*vec,adjoint=True),mu_0)
-                ahx_py_u = lambda vec: old_div(f._b_pyDeriv_u(src,Pbx.T*vec,adjoint=True),mu_0)
-                ahy_py_u = lambda vec: old_div(f._b_pyDeriv_u(src,Pby.T*vec,adjoint=True),mu_0)
+                ahx_px_u = lambda vec: f._b_pxDeriv_u(src,Pbx.T*vec,adjoint=True)/mu_0
+                ahy_px_u = lambda vec: f._b_pxDeriv_u(src,Pby.T*vec,adjoint=True)/mu_0
+                ahx_py_u = lambda vec: f._b_pyDeriv_u(src,Pbx.T*vec,adjoint=True)/mu_0
+                ahy_py_u = lambda vec: f._b_pyDeriv_u(src,Pby.T*vec,adjoint=True)/mu_0
 
                 # Update the input vector
                 # Define shortcuts
                 sDiag = lambda t: Utils.sdiag(mkvc(t,2))
                 sVec = lambda t: Utils.sp.csr_matrix(mkvc(t,2))
                 # Define the components of the derivative
-                aHd = sDiag(old_div(1.,(sDiag(ahx_px)*ahy_py - sDiag(ahx_py)*ahy_px)))
+                aHd = sDiag(1./(sDiag(ahx_px)*ahy_py - sDiag(ahx_py)*ahy_px))
                 aHd_uV = lambda x: ahx_px_u(sDiag(ahy_py)*x) + ahx_px_u(sDiag(ahy_py)*x) - ahy_px_u(sDiag(ahx_py)*x) - ahx_py_u(sDiag(ahy_px)*x)
                 # Need to fix this to reflect the adjoint
                 if 'zxx' in self.rxType:
@@ -368,7 +362,7 @@ class Rx(SimPEGsurvey.BaseRx):
                 sDiag = lambda t: Utils.sdiag(mkvc(t,2))
                 sVec = lambda t: Utils.sp.csr_matrix(mkvc(t,2))
                 # Define the components of the derivative
-                aHd = sDiag(old_div(1.,(sDiag(abx_px)*aby_py - sDiag(abx_py)*aby_px)))
+                aHd = sDiag(1./(sDiag(abx_px)*aby_py - sDiag(abx_py)*aby_px))
                 aHd_uV = lambda x: abx_px_u(sDiag(aby_py)*x) + abx_px_u(sDiag(aby_py)*x) - aby_px_u(sDiag(abx_py)*x) - abx_py_u(sDiag(aby_px)*x)
                 # Need to fix this to reflect the adjoint
                 if 'tzx' in self.rxType:

SimPEG/MT/Utils/MT1Danalytic.py

@@ -1,10 +1,3 @@
-from __future__ import division
-from __future__ import unicode_literals
-from __future__ import print_function
-from __future__ import absolute_import
-from future import standard_library
-standard_library.install_aliases()
-from builtins import zip
 # Analytic solution of EM fields due to a plane wave
 
 import numpy as np, SimPEG as simpeg
@@ -40,8 +33,8 @@ def getEHfields(m1d,sigma,freq,zd,scaleUD=True):
     # Loop over all the layers, starting at the bottom layer
     for lnr, h in enumerate(m1d.hx): # lnr-number of layer, h-thickness of the layer
         # Calculate
-        yp1 = old_div(k[lnr],(w*mu[lnr])) # Admittance of the layer below the current layer
-        zp = old_div((w*mu[lnr+1]),k[lnr+1]) # Impedance in the current layer
+        yp1 = k[lnr]/(w*mu[lnr]) # Admittance of the layer below the current layer
+        zp = (w*mu[lnr+1])/k[lnr+1] # Impedance in the current layer
         # Build the propagation matrix
 
         # Convert fields to down/up going components in layer below current layer
@@ -55,7 +48,7 @@ def getEHfields(m1d,sigma,freq,zd,scaleUD=True):
         UDp[:,lnr+1] = elamh.dot(Pjinv.dot(Pj1)).dot(UDp[:,lnr])
 
         if scaleUD:
-             UDp[:,lnr+1::-1] = old_div(UDp[:,lnr+1::-1],UDp[1,lnr+1])
+             UDp[:,lnr+1::-1] = UDp[:,lnr+1::-1]/UDp[1,lnr+1]
 
     # Calculate the fields
     Ed = np.empty((zd.size,),dtype=complex)
@@ -69,14 +62,14 @@ def getEHfields(m1d,sigma,freq,zd,scaleUD=True):
     dind = dup >= zd
     Ed[dind] = UDp[1,0]*np.exp(-1j*k[0]*(dup-zd[dind]))
     Eu[dind] = UDp[0,0]*np.exp(1j*k[0]*(dup-zd[dind]))
-    Hd[dind] = (old_div(k[0],(w*mu[0])))*UDp[1,0]*np.exp(-1j*k[0]*(dup-zd[dind]))
-    Hu[dind] = -(old_div(k[0],(w*mu[0])))*UDp[0,0]*np.exp(1j*k[0]*(dup-zd[dind]))
+    Hd[dind] = (k[0]/(w*mu[0]))*UDp[1,0]*np.exp(-1j*k[0]*(dup-zd[dind]))
+    Hu[dind] = -(k[0]/(w*mu[0]))*UDp[0,0]*np.exp(1j*k[0]*(dup-zd[dind]))
     for ki,mui,epsi,dlow,dup,Up,Dp in zip(k[1::],mu[1::],eps[1::],m1d.vectorNx[:-1],m1d.vectorNx[1::],UDp[0,1::],UDp[1,1::]):
         dind = np.logical_and(dup >= zd, zd > dlow)
         Ed[dind] = Dp*np.exp(-1j*ki*(dup-zd[dind]))
         Eu[dind] = Up*np.exp(1j*ki*(dup-zd[dind]))
-        Hd[dind] = (old_div(ki,(w*mui)))*Dp*np.exp(-1j*ki*(dup-zd[dind]))
-        Hu[dind] = -(old_div(ki,(w*mui)))*Up*np.exp(1j*ki*(dup-zd[dind]))
+        Hd[dind] = (ki/(w*mui))*Dp*np.exp(-1j*ki*(dup-zd[dind]))
+        Hu[dind] = -(ki/(w*mui))*Up*np.exp(1j*ki*(dup-zd[dind]))
 
     # Return return the fields
     return Ed, Eu, Hd, Hu
@@ -99,15 +92,15 @@ def getImpedance(m1d,sigma,freq):
         om = 2*np.pi*fr
         Zall = np.empty(len(h)+1,dtype='complex')
         # Calculate the impedance for the bottom layer
-        Zall[0] = old_div((mu_0*om),np.sqrt(mu_0*eps_0*(om)**2 - 1j*mu_0*sigma[0]*om))
+        Zall[0] = (mu_0*om)/np.sqrt(mu_0*eps_0*(om)**2 - 1j*mu_0*sigma[0]*om)
 
         for nr,hi in enumerate(h):
             # Calculate the wave number
             # print nr,sigma[nr]
             k = np.sqrt(mu_0*eps_0*om**2 - 1j*mu_0*sigma[nr]*om)
-            Z = old_div((mu_0*om),k)
+            Z = (mu_0*om)/k
 
-            Zall[nr+1] = Z *(old_div((Zall[nr] + Z*np.tanh(1j*k*hi)),(Z + Zall[nr]*np.tanh(1j*k*hi))))
+            Zall[nr+1] = Z *((Zall[nr] + Z*np.tanh(1j*k*hi))/(Z + Zall[nr]*np.tanh(1j*k*hi)))
 
         #pdb.set_trace()
         Z1d[nrFr] = Zall[-1]

SimPEG/MT/Utils/MT1Dsolutions.py

@@ -1,11 +1,5 @@
-from __future__ import absolute_import
-from __future__ import division
-from __future__ import unicode_literals
-from __future__ import print_function
-from future import standard_library
-standard_library.install_aliases()
 import numpy as np, SimPEG as simpeg
-from .MT1Danalytic import getEHfields
+from MT1Danalytic import getEHfields
 from scipy.constants import mu_0
 
 def get1DEfields(m1d,sigma,freq,sourceAmp=1.0):
@@ -15,7 +9,7 @@ def get1DEfields(m1d,sigma,freq,sourceAmp=1.0):
     G = m1d.nodalGrad
     # Mass matrices
     # Magnetic permeability
-    Mmu = simpeg.Utils.sdiag(m1d.vol*(old_div(1.0,mu_0)))
+    Mmu = simpeg.Utils.sdiag(m1d.vol*(1.0/mu_0))
     # Conductivity
     Msig = m1d.getFaceInnerProduct(sigma)
     # Set up the solution matrix
@@ -29,7 +23,7 @@ def get1DEfields(m1d,sigma,freq,sourceAmp=1.0):
     Ed, Eu, Hd, Hu = getEHfields(m1d,sigma,freq,m1d.vectorNx)
     Etot = (Ed + Eu)
     if sourceAmp is not None:
-        Etot = ((old_div(Etot,Etot[-1]))*sourceAmp) # Scale the fields to be equal to sourceAmp at the top
+        Etot = ((Etot/Etot[-1])*sourceAmp) # Scale the fields to be equal to sourceAmp at the top
     ## Note: The analytic solution is derived with e^iwt
     bc = np.r_[Etot[0],Etot[-1]]
     # The right hand side

SimPEG/MT/Utils/__init__.py

@@ -1,10 +1,4 @@
-from __future__ import absolute_import
-from __future__ import unicode_literals
-from __future__ import print_function
-from __future__ import division
-from future import standard_library
-standard_library.install_aliases()
-from .MT1Dsolutions import *  # Add the names of the functions
-from .MT1Danalytic import *
-from .dataUtils import *
-from .ediFilesUtils import *
+from MT1Dsolutions import *  # Add the names of the functions
+from MT1Danalytic import *
+from dataUtils import *
+from ediFilesUtils import *

SimPEG/MT/Utils/dataUtils.py

@@ -1,9 +1,3 @@
-from __future__ import print_function
-from __future__ import absolute_import
-from __future__ import division
-from __future__ import unicode_literals
-from future import standard_library
-standard_library.install_aliases()
 # Utils used for the data,
 import numpy as np, matplotlib.pyplot as plt, sys
 import SimPEG as simpeg
@@ -51,13 +45,13 @@ def rotateData(MTdata, rotAngle):
 
 
 def appResPhs(freq, z):
-    app_res = (old_div((old_div(1.,(8e-7*np.pi**2))),freq))*np.abs(z)**2
-    app_phs = np.arctan2(z.imag,z.real)*(old_div(180,np.pi))
+    app_res = ((1./(8e-7*np.pi**2))/freq)*np.abs(z)**2
+    app_phs = np.arctan2(z.imag,z.real)*(180/np.pi)
     return app_res, app_phs
 
 def skindepth(rho, freq):
     ''' Function to calculate the skindepth of EM waves'''
-    return np.sqrt( (rho*((old_div(1,(freq * mu_0 * np.pi ))))))
+    return np.sqrt( (rho*((1/(freq * mu_0 * np.pi )))))
 
 def rec2ndarr(x, dt=float):
     return x.view((dt, len(x.dtype.names)))
@@ -70,7 +64,7 @@ def makeAnalyticSolution(mesh, model, elev, freqs):
         anaE = anaEd+anaEu
         anaH = anaHd+anaHu
 
-        anaZ = old_div(anaE,anaH)
+        anaZ = anaE/anaH
         # Add to the list
         data1D.append((freq,0,0,elev,anaZ[0]))
     dataRec = np.array(data1D,dtype=[('freq',float),('x',float),('y',float),('z',float),('zyx',complex)])
@@ -103,7 +97,7 @@ def plotMT1DModelData(problem, models, symList=None):
 
     # if not symList:
     #   symList = ['x']*len(models)
-    from . import plotDataTypes as pDt
+    import plotDataTypes as pDt
     # Loop through the models.
     modelList = [problem.survey.mtrue]
     modelList.extend(models)
@@ -116,14 +110,14 @@ def plotMT1DModelData(problem, models, symList=None):
         else:
             data1D = problem.dataPair(problem.survey,problem.survey.dpred(model)).toRecArray('Complex')
         # Plot the data and the model
-        colRat = old_div(nr,((len(modelList)-1.999)*1.))
+        colRat = nr/((len(modelList)-1.999)*1.)
         if colRat > 1.:
             col = 'k'
         else:
             col = plt.cm.seismic(1-colRat)
         # The model - make the pts to plot
         meshPts = np.concatenate((problem.mesh.gridN[0:1],np.kron(problem.mesh.gridN[1::],np.ones(2))[:-1]))
-        modelPts = np.kron(old_div(1.,(problem.mapping.sigmaMap*model)),np.ones(2,))
+        modelPts = np.kron(1./(problem.mapping.sigmaMap*model),np.ones(2,))
         axM.semilogx(modelPts,meshPts,color=col)
 
         ## Data
@@ -150,7 +144,7 @@ def plotMT1DModelData(problem, models, symList=None):
 
     # Fix labels and ticks
 
-    yMtick = [old_div(l,1000) for l in axM.get_yticks().tolist()]
+    yMtick = [l/1000 for l in axM.get_yticks().tolist()]
     axM.set_yticklabels(yMtick)
     [ l.set_rotation(90) for l in axM.get_yticklabels()]
     [ l.set_rotation(90) for l in axR.get_yticklabels()]
@@ -163,7 +157,7 @@ def plotMT1DModelData(problem, models, symList=None):
 
 def printTime():
     import time
-    print(time.strftime("%a, %d %b %Y %H:%M:%S +0000", time.localtime()))
+    print time.strftime("%a, %d %b %Y %H:%M:%S +0000", time.localtime())
 
 def convert3Dto1Dobject(MTdata,rxType3D='zyx'):
     from SimPEG import MT

SimPEG/MT/Utils/ediFilesUtils.py

@@ -1,12 +1,3 @@
-from __future__ import print_function
-from __future__ import division
-from __future__ import unicode_literals
-from __future__ import absolute_import
-from builtins import open
-from builtins import int
-from future import standard_library
-standard_library.install_aliases()
-from builtins import object
 # Functions to import and export MT EDI files.
 from SimPEG import mkvc
 from scipy.constants import mu_0
@@ -18,7 +9,7 @@ import numpy as np
 import os, sys, re
 
 
-class EDIimporter(object):
+class EDIimporter:
     """
     A class to import EDIfiles.
 
@@ -27,7 +18,7 @@ class EDIimporter(object):
 
     # Define data converters
     _impUnitEDI2SI = 4*np.pi*1e-4 # Convert Z[mV/km/nT] (as in EDI)to Z[V/A] SI unit
-    _impUnitSI2EDI = old_div(1.,_impUnitEDI2SI) # ConvertZ[V/A] SI unit to Z[mV/km/nT] (as in EDI)
+    _impUnitSI2EDI = 1./_impUnitEDI2SI # ConvertZ[V/A] SI unit to Z[mV/km/nT] (as in EDI)
 
     # Properties
     filesList = None
@@ -125,7 +116,7 @@ class EDIimporter(object):
         try:
             import osr
         except ImportError as e:
-            print('Could not import osr, missing the gdal package\nCan not project coordinates')
+            print 'Could not import osr, missing the gdal package\nCan not project coordinates'
             raise e
         # Coordinates convertor
         if self._2out is None:
@@ -135,7 +126,7 @@ class EDIimporter(object):
             if self._outEPSG is None:
                 # Find the UTM EPSG number
                 Nnr =  700 if latD < 0.0 else 600
-                utmZ = int(1+old_div((longD+180.0),6.0))
+                utmZ = int(1+(longD+180.0)/6.0)
                 self._outEPSG = 32000 + Nnr + utmZ
             out.ImportFromEPSG(self._outEPSG)
             self._2out = osr.CoordinateTransformation(src,out)

SimPEG/MT/Utils/plotDataTypes.py

@@ -1,9 +1,3 @@
-from __future__ import division
-from __future__ import unicode_literals
-from __future__ import print_function
-from __future__ import absolute_import
-from future import standard_library
-standard_library.install_aliases()
 from matplotlib import pyplot as plt, colors, numpy as np
 
 
@@ -41,7 +35,7 @@ def plotIsoFreqNSimpedance(ax,freq,array,flag,par='abs',colorbar=True,colorNorm=
 		cmap = plt.get_cmap('RdYlBu')
 		level = np.concatenate((-np.logspace(0,-10,31),np.logspace(-10,0,31)))
 		clevel = np.concatenate((-np.logspace(0,-8,5),np.logspace(-8,0,5)))
-		plotNorm = colors.SymLogNorm(1e-10,linscale=2)
+		plotNorm = colors.SymLogNorm(1e-10,linscale=2)		
 		if cLevel:
 			level = np.concatenate((-np.logspace(0,-10,31),np.logspace(-10,0,31)))
 			clevel = np.concatenate((-np.logspace(0,-8,5),np.logspace(-8,0,5)))
@@ -71,45 +65,45 @@ def plotIsoFreqNSDiff(ax,freq,arrayList,flag,par='abs',colorbar=True,cLevel=True
 	x, y = arrayList[0]['x'][indUniFreq0],arrayList[0]['y'][indUniFreq0]
 	if par == 'abs':
 		if useLog:
-			zPlot = old_div((np.log10(np.abs(arrayList[0][flag][indUniFreq0])) - np.log10(np.abs(arrayList[1][flag][indUniFreq1]))),np.log10(np.abs(arrayList[1][flag][indUniFreq1])))
+			zPlot = (np.log10(np.abs(arrayList[0][flag][indUniFreq0])) - np.log10(np.abs(arrayList[1][flag][indUniFreq1])))/np.log10(np.abs(arrayList[1][flag][indUniFreq1]))
 		else:
-			zPlot = old_div((np.abs(arrayList[0][flag][indUniFreq0]) - np.abs(arrayList[1][flag][indUniFreq1])),np.abs(arrayList[1][flag][indUniFreq1]))
+			zPlot = (np.abs(arrayList[0][flag][indUniFreq0]) - np.abs(arrayList[1][flag][indUniFreq1]))/np.abs(arrayList[1][flag][indUniFreq1])
 		if mask:
 			maskInd = np.logical_or(np.abs(arrayList[0][flag][indUniFreq0])< 1e-3,np.abs(arrayList[1][flag][indUniFreq1]) < 1e-3)
 			zPlot = np.ma.array(zPlot)
 			zPlot[maskInd] = mask
 		if cLevel:
-			level = np.arange(-200,201,10)
+			level = np.arange(-200,201,10) 
 			clevel = np.arange(-200,201,25)
 		else:
 			level = np.linspace(zPlot.min(),zPlot.max(),100)
 			clevel = np.linspace(zPlot.min(),zPlot.max(),10)
 	elif par == 'real':
 		if useLog:
-			zPlot = old_div((np.log10(np.real(arrayList[0][flag][indUniFreq0])) -np.log10(np.real(arrayList[1][flag][indUniFreq1]))),np.log10(np.abs((np.real(arrayList[1][flag][indUniFreq1])))))
+			zPlot = (np.log10(np.real(arrayList[0][flag][indUniFreq0])) -np.log10(np.real(arrayList[1][flag][indUniFreq1])))/np.log10(np.abs((np.real(arrayList[1][flag][indUniFreq1]))))
 		else:
-			zPlot = old_div((np.real(arrayList[0][flag][indUniFreq0]) -np.real(arrayList[1][flag][indUniFreq1])),np.abs((np.real(arrayList[1][flag][indUniFreq1]))))
+			zPlot = (np.real(arrayList[0][flag][indUniFreq0]) -np.real(arrayList[1][flag][indUniFreq1]))/np.abs((np.real(arrayList[1][flag][indUniFreq1])))
 		if mask:
 			maskInd = np.logical_or(np.abs(np.real(arrayList[0][flag][indUniFreq0])) < 1e-3,np.abs(np.real(arrayList[1][flag][indUniFreq1])) < 1e-3)
 			zPlot = np.ma.array(zPlot)
 			zPlot[maskInd] = mask
 		if cLevel:
-			level = np.arange(-200,201,10)
+			level = np.arange(-200,201,10) 
 			clevel = np.arange(-200,201,25)
 		else:
 			level = np.linspace(zPlot.min(),zPlot.max(),100)
 			clevel = np.linspace(zPlot.min(),zPlot.max(),10)
 	elif par == 'imag':
 		if useLog:
-			zPlot = old_div((np.log10(np.imag(arrayList[0][flag][indUniFreq0])) -np.log10(np.imag(arrayList[1][flag][indUniFreq1]))),np.log10(np.abs((np.imag(arrayList[1][flag][indUniFreq1])))))
+			zPlot = (np.log10(np.imag(arrayList[0][flag][indUniFreq0])) -np.log10(np.imag(arrayList[1][flag][indUniFreq1])))/np.log10(np.abs((np.imag(arrayList[1][flag][indUniFreq1]))))
 		else:
-			zPlot = old_div((np.imag(arrayList[0][flag][indUniFreq0]) -np.imag(arrayList[1][flag][indUniFreq1])),np.abs((np.imag(arrayList[1][flag][indUniFreq1]))))
+			zPlot = (np.imag(arrayList[0][flag][indUniFreq0]) -np.imag(arrayList[1][flag][indUniFreq1]))/np.abs((np.imag(arrayList[1][flag][indUniFreq1])))
 		if mask:
 			maskInd = np.logical_or(np.abs(np.imag(arrayList[0][flag][indUniFreq0])) < 1e-3,np.abs(np.imag(arrayList[1][flag][indUniFreq1])) < 1e-3)
 			zPlot = np.ma.array(zPlot)
 			zPlot[maskInd] = mask
 		if cLevel:
-			level = np.arange(-200,201,10)
+			level = np.arange(-200,201,10) 
 			clevel = np.arange(-200,201,25)
 		else:
 			level = np.linspace(zPlot.min(),zPlot.max(),100)
@@ -180,13 +174,13 @@ def plotIsoFreqNStipper(ax,freq,array,flag,par='abs',colorbar=True,colorNorm='Sy
 		plt.colorbar(cs,cax=ax.cax,ticks=clevel,format='%1.2e')
 	ax.set_title(flag+' '+par,fontsize=8)
 
-def plotIsoStaImpedance(ax,loc,array,flag,par='abs',pSym='s',pColor=None):
-
-	appResFact = old_div(1,(8*np.pi**2*10**(-7)))
+def plotIsoStaImpedance(ax,loc,array,flag,par='abs',pSym='s',pColor=None):	
+	
+	appResFact = 1/(8*np.pi**2*10**(-7))
 	treshold = 1.0 # 1 meter
 	indUniSta = np.sqrt(np.sum((rec2nd(array[['x','y']])-loc)**2,axis=1)) < treshold
 	freq = array['freq'][indUniSta]
-
+	
 	if par == 'abs':
 		zPlot = np.abs(array[flag][indUniSta])
 	elif par == 'real':
@@ -194,9 +188,9 @@ def plotIsoStaImpedance(ax,loc,array,flag,par='abs',pSym='s',pColor=None):
 	elif par == 'imag':
 		zPlot = np.imag(array[flag][indUniSta])
 	elif par == 'res':
-		zPlot = (old_div(appResFact,freq))*np.abs(array[flag][indUniSta])**2
+		zPlot = (appResFact/freq)*np.abs(array[flag][indUniSta])**2
 	elif par == 'phs':
-		zPlot = np.arctan2(array[flag][indUniSta].imag,array[flag][indUniSta].real)*(old_div(180,np.pi))
+		zPlot = np.arctan2(array[flag][indUniSta].imag,array[flag][indUniSta].real)*(180/np.pi)
 
 	if not pColor:
 		if 'xx' in flag:
@@ -204,7 +198,7 @@ def plotIsoStaImpedance(ax,loc,array,flag,par='abs',pSym='s',pColor=None):
 			pColor = 'g'
 		elif 'xy' in flag:
 			lab = 'XY'
-			pColor = 'r'
+			pColor = 'r'	
 		elif 'yx' in flag:
 			lab = 'YX'
 			pColor = 'b'
@@ -213,14 +207,14 @@ def plotIsoStaImpedance(ax,loc,array,flag,par='abs',pSym='s',pColor=None):
 			pColor = 'y'
 
 	ax.plot(freq,zPlot,color=pColor,marker=pSym,label=flag)
-
+	
 
 def plotPsudoSectNSimpedance(ax,sectDict,array,flag,par='abs',colorbar=True,colorNorm='None',cLevel=None,contour=True):
 
-	indSect = np.where(list(sectDict.values())[0]==array[list(sectDict.keys())[0]])
+	indSect = np.where(sectDict.values()[0]==array[sectDict.keys()[0]])
 
 	# Define the plot axes
-	if 'x' in list(sectDict.keys())[0]:
+	if 'x' in sectDict.keys()[0]:
 		x = array['y'][indSect]
 	else:
 		x = array['x'][indSect]
@@ -235,9 +229,9 @@ def plotPsudoSectNSimpedance(ax,sectDict,array,flag,par='abs',colorbar=True,colo
 		else:
 			level = np.linspace(zPlot.min(),zPlot.max(),100,endpoint=True)
 			clevel = np.linspace(zPlot.min(),zPlot.max(),10,endpoint=True)
-
-	elif par == 'ares':
-		zPlot = old_div(np.abs(array[flag][indSect])**2,(8*np.pi**2*10**(-7)*array['freq'][indSect]))
+		
+	elif par == 'ares':	
+		zPlot = np.abs(array[flag][indSect])**2/(8*np.pi**2*10**(-7)*array['freq'][indSect])
 		cmap = plt.get_cmap('RdYlBu')#seismic)
 		if cLevel:
 			zMax = np.log10(cLevel[1])
@@ -250,7 +244,7 @@ def plotPsudoSectNSimpedance(ax,sectDict,array,flag,par='abs',colorbar=True,colo
 		plotNorm = colors.LogNorm()
 
 	elif par == 'aphs':
-		zPlot = np.arctan2(array[flag][indSect].imag,array[flag][indSect].real)*(old_div(180,np.pi))
+		zPlot = np.arctan2(array[flag][indSect].imag,array[flag][indSect].real)*(180/np.pi)
 		cmap = plt.get_cmap('RdYlBu')#seismic)
 		if cLevel:
 			zMax = cLevel[1]
@@ -277,7 +271,7 @@ def plotPsudoSectNSimpedance(ax,sectDict,array,flag,par='abs',colorbar=True,colo
 	elif par == 'imag':
 		zPlot = np.imag(array[flag][indSect])
 		cmap = plt.get_cmap('Spectral') #('RdYlBu')
-
+		
 		if cLevel:
 			zMax = np.log10(cLevel[1])
 			zMin = np.log10(cLevel[0])
@@ -287,7 +281,7 @@ def plotPsudoSectNSimpedance(ax,sectDict,array,flag,par='abs',colorbar=True,colo
 		level = np.concatenate((-np.logspace(zMax,zMin-.125,(zMax-zMin)*8+1,endpoint=True),np.logspace(zMin-.125,zMax,(zMax-zMin)*8+1,endpoint=True)))
 		clevel = np.concatenate((-np.logspace(zMax,zMin,(zMax-zMin)*1+1,endpoint=True),np.logspace(zMin,zMax,(zMax-zMin)*1+1,endpoint=True)))
 		plotNorm = colors.SymLogNorm(np.abs(level).min(),linscale=0.1)
-
+	
 	if colorNorm=='SymLog':
 		plotNorm = colors.SymLogNorm(np.abs(level).min(),linscale=0.1)
 	elif colorNorm=='Lin':
@@ -313,14 +307,14 @@ def plotPsudoSectNSDiff(ax,sectDict,arrayList,flag,par='abs',colorbar=True,color
 	def sortInArr(arr):
 		return np.sort(arr,order=['freq','x','y','z'])
 	# Find the index for the slice
-	indSect0 = np.where(list(sectDict.values())[0]==arrayList[0][list(sectDict.keys())[0]])
-	indSect1 = np.where(list(sectDict.values())[0]==arrayList[1][list(sectDict.keys())[0]])
+	indSect0 = np.where(sectDict.values()[0]==arrayList[0][sectDict.keys()[0]])
+	indSect1 = np.where(sectDict.values()[0]==arrayList[1][sectDict.keys()[0]])
 	# Extract and sort the mats
 	arr0 = sortInArr(arrayList[0][indSect0])
 	arr1 = sortInArr(arrayList[1][indSect1])
 
 	# Define the plot axes
-	if 'x' in list(sectDict.keys())[0]:
+	if 'x' in sectDict.keys()[0]:
 		x0 = arr0['y']
 		x1 = arr1['y']
 	else:
@@ -328,35 +322,35 @@ def plotPsudoSectNSDiff(ax,sectDict,arrayList,flag,par='abs',colorbar=True,color
 		x1 = arr1['x']
 	y0 = arr0['freq']
 	y1 = arr1['freq']
-
+	
 
 	if par == 'abs':
 		if useLog:
-			zPlot = old_div((np.log10(np.abs(arr0[flag])) - np.log10(np.abs(arr1[flag]))),np.log10(np.abs(arr1[flag])))
+			zPlot = (np.log10(np.abs(arr0[flag])) - np.log10(np.abs(arr1[flag])))/np.log10(np.abs(arr1[flag]))
 		else:
-			zPlot = old_div((np.abs(arr0[flag]) - np.abs(arr1[flag])),np.abs(arr1[flag]))
+			zPlot = (np.abs(arr0[flag]) - np.abs(arr1[flag]))/np.abs(arr1[flag])
 		if mask:
 			maskInd = np.logical_or(np.abs(arr0[flag])< 1e-3,np.abs(arr1[flag]) < 1e-3)
 			zPlot = np.ma.array(zPlot)
 			zPlot[maskInd] = mask
 		cmap = plt.get_cmap('RdYlBu')#seismic)
 	elif par == 'ares':
-		arF = old_div(1,(8*np.pi**2*10**(-7)))
+		arF = 1/(8*np.pi**2*10**(-7))		
 		if useLog:
-			zPlot = old_div((np.log10((old_div(arF,arr0['freq']))*np.abs(arr0[flag])**2) - np.log10((old_div(arF,arr1['freq']))*np.abs(arr1[flag])**2)),np.log10((old_div(arF,arr1['freq']))*np.abs(arr1[flag])**2))
+			zPlot = (np.log10((arF/arr0['freq'])*np.abs(arr0[flag])**2) - np.log10((arF/arr1['freq'])*np.abs(arr1[flag])**2))/np.log10((arF/arr1['freq'])*np.abs(arr1[flag])**2)
 		else:
-			zPlot = old_div(((old_div(arF,arr0['freq']))*np.abs(arr0[flag])**2 - (old_div(arF,arr1['freq']))*np.abs(arr1[flag])**2),((old_div(arF,arr1['freq']))*np.abs(arr1[flag])**2))
+			zPlot = ((arF/arr0['freq'])*np.abs(arr0[flag])**2 - (arF/arr1['freq'])*np.abs(arr1[flag])**2)/((arF/arr1['freq'])*np.abs(arr1[flag])**2)
 		if mask:
 			maskInd = np.logical_or(np.abs(arr0[flag])< 1e-3,np.abs(arr1[flag]) < 1e-3)
 			zPlot = np.ma.array(zPlot)
 			zPlot[maskInd] = mask
 		cmap = plt.get_cmap('Spectral')#seismic)
-
+	
 	elif par == 'aphs':
 		if useLog:
-			zPlot = old_div((np.log10(np.arctan2(arr0[flag].imag,arr0[flag].real)*(old_div(180,np.pi))) - np.log10(np.arctan2(arr1[flag].imag,arr1[flag].real)*(old_div(180,np.pi))) ),np.log10(np.arctan2(arr1[flag].imag,arr1[flag].real)*(old_div(180,np.pi))))
+			zPlot = (np.log10(np.arctan2(arr0[flag].imag,arr0[flag].real)*(180/np.pi)) - np.log10(np.arctan2(arr1[flag].imag,arr1[flag].real)*(180/np.pi)) )/np.log10(np.arctan2(arr1[flag].imag,arr1[flag].real)*(180/np.pi))
 		else:
-			zPlot = old_div(( np.arctan2(arr0[flag].imag,arr0[flag].real)*(old_div(180,np.pi)) - np.arctan2(arr1[flag].imag,arr1[flag].real)*(old_div(180,np.pi)) ),(np.arctan2(arr1[flag].imag,arr1[flag].real)*(old_div(180,np.pi))))
+			zPlot = ( np.arctan2(arr0[flag].imag,arr0[flag].real)*(180/np.pi) - np.arctan2(arr1[flag].imag,arr1[flag].real)*(180/np.pi) )/(np.arctan2(arr1[flag].imag,arr1[flag].real)*(180/np.pi))
 		if mask:
 			maskInd = np.logical_or(np.abs(arr0[flag])< 1e-3,np.abs(arr1[flag]) < 1e-3)
 			zPlot = np.ma.array(zPlot)
@@ -364,26 +358,26 @@ def plotPsudoSectNSDiff(ax,sectDict,arrayList,flag,par='abs',colorbar=True,color
 		cmap = plt.get_cmap('Spectral')#seismic)
 	elif par == 'real':
 		if useLog:
-			zPlot = old_div((np.log10(arr0[flag].real) - np.log10(arr1[flag].real)),np.log10(arr1[flag].real))
+			zPlot = (np.log10(arr0[flag].real) - np.log10(arr1[flag].real))/np.log10(arr1[flag].real)
 		else:
-			zPlot = old_div((arr0[flag].real - arr1[flag].real),arr1[flag].real)
+			zPlot = (arr0[flag].real - arr1[flag].real)/arr1[flag].real
 		if mask:
 			maskInd = np.logical_or(arr0[flag].real< 1e-3,arr1[flag].real < 1e-3)
 			zPlot = np.ma.array(zPlot)
 			zPlot[maskInd] = mask
 		cmap = plt.get_cmap('Spectral') #('Spectral')
-
+		
 	elif par == 'imag':
 		if useLog:
-			zPlot = old_div((np.log10(arr0[flag].imag) - np.log10(arr1[flag].imag)),np.log10(arr1[flag].imag))
+			zPlot = (np.log10(arr0[flag].imag) - np.log10(arr1[flag].imag))/np.log10(arr1[flag].imag)
 		else:
-			zPlot = old_div((arr0[flag].imag - arr1[flag].imag),arr1[flag].imag)
+			zPlot = (arr0[flag].imag - arr1[flag].imag)/arr1[flag].imag
 		if mask:
 			maskInd = np.logical_or(arr0[flag].imag< 1e-3,arr1[flag].imag < 1e-3)
 			zPlot = np.ma.array(zPlot)
 			zPlot[maskInd] = mask
 		cmap = plt.get_cmap('Spectral') #('RdYlBu')
-
+		
 	if cLevel:
 		zMax = np.log10(cLevel[1])
 		zMin = np.log10(cLevel[0])
@@ -391,18 +385,18 @@ def plotPsudoSectNSDiff(ax,sectDict,arrayList,flag,par='abs',colorbar=True,color
 		zMax = (np.ceil(np.log10(np.abs(zPlot).max())))
 		zMin = (np.floor(np.log10(np.abs(zPlot).min())))
 
-
+	
 	if colorNorm=='SymLog':
 		level = np.concatenate((-np.logspace(zMax,zMin-.125,(zMax-zMin)*8+1,endpoint=True),np.logspace(zMin-.125,zMax,(zMax-zMin)*8+1,endpoint=True)))
 		clevel = np.concatenate((-np.logspace(zMax,zMin,(zMax-zMin)*1+1,endpoint=True),np.logspace(zMin,zMax,(zMax-zMin)*1+1,endpoint=True)))
 		plotNorm = colors.SymLogNorm(np.abs(level).min(),linscale=0.1)
 	elif colorNorm=='Lin':
 		if cLevel:
-			level = np.arange(cLevel[0],cLevel[1]+.1,old_div((cLevel[1] - cLevel[0]),50.))
-			clevel = np.arange(cLevel[0],cLevel[1]+.1,old_div((cLevel[1] - cLevel[0]),10.))
+			level = np.arange(cLevel[0],cLevel[1]+.1,(cLevel[1] - cLevel[0])/50.) 
+			clevel = np.arange(cLevel[0],cLevel[1]+.1,(cLevel[1] - cLevel[0])/10.)
 		else:
-			level = np.arange(zPlot.min(),zPlot.max(),old_div((zPlot.max() - zPlot.min()),50.))
-			clevel = np.arange(zPlot.min(),zPlot.max(),old_div((zPlot.max() - zPlot.min()),10.))
+			level = np.arange(zPlot.min(),zPlot.max(),(zPlot.max() - zPlot.min())/50.)
+			clevel = np.arange(zPlot.min(),zPlot.max(),(zPlot.max() - zPlot.min())/10.)
 		plotNorm = colors.Normalize()
 	elif colorNorm=='Log':
 		level = np.logspace(zMin-.125,zMax,(zMax-zMin)*8+1,endpoint=True)

SimPEG/MT/Utils/sourceUtils.py

@@ -1,11 +1,3 @@
-from __future__ import unicode_literals
-from __future__ import print_function
-from __future__ import division
-from __future__ import absolute_import
-from builtins import dict
-from future import standard_library
-standard_library.install_aliases()
-from builtins import zip
 import SimPEG as simpeg, numpy as np
 
 def homo1DModelSource(mesh,freq,sigma_1d):
@@ -98,7 +90,7 @@ def analytic1DModelSource(mesh,freq,sigma_1d):
     Eu, Ed, _, _ = getEHfields(mesh1d,sigma_1d,freq,mesh.vectorNz)
     # Make the fields into a dictionary of location and the fields
     e0_1d = Eu+Ed
-    E1dFieldDict = dict(list(zip(mesh.vectorNz,e0_1d)))
+    E1dFieldDict = dict(zip(mesh.vectorNz,e0_1d))
     if mesh.dim == 1:
         eBG_px = simpeg.mkvc(e0_1d,2)
         eBG_py = -simpeg.mkvc(e0_1d,2) # added a minus to make the results in the correct quadrents.

SimPEG/MT/Utils/srcUtils.py

@@ -1,9 +1,3 @@
-from __future__ import unicode_literals
-from __future__ import print_function
-from __future__ import division
-from __future__ import absolute_import
-from future import standard_library
-standard_library.install_aliases()
 import SimPEG as simpeg, numpy as np
 
 def homo1DModelSource(mesh,freq,m_back):