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https://github.com/wassname/simpeg.git
synced 2026-09-13 13:03:14 +08:00
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9
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| Author | SHA1 | Date | |
|---|---|---|---|
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1a5e981dff | ||
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21c64cbe66 | ||
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eb24a70f31 | ||
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704776b8ba | ||
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e4448c2f2e | ||
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9d5db11b0e | ||
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e9957d7ec8 | ||
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c74022a948 | ||
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41e9d175f2 |
+1
-1
@@ -15,7 +15,7 @@ before_install:
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||||
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||||
# Install packages
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||||
install:
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||||
- conda install --yes pip python=$TRAVIS_PYTHON_VERSION numpy scipy matplotlib cython ipython networkx pyzmq
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- conda install --yes pip python=$TRAVIS_PYTHON_VERSION numpy scipy matplotlib cython
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- pip install nose-cov python-coveralls
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# - pip install -r requirements.txt
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- python setup.py install
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@@ -14,6 +14,34 @@ class BaseDataMisfit(object):
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debug = False #: Print debugging information
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||||
counter = None #: Set this to a SimPEG.Utils.Counter() if you want to count things
|
||||
|
||||
# Pickleing support methods
|
||||
def __getstate__(self):
|
||||
'''
|
||||
Method that makes the dictionary of the object pickleble, removes non-pickleble elements of the object.
|
||||
|
||||
Used when doing:
|
||||
pickle.dump(pickleFile,object)
|
||||
'''
|
||||
odict = self.__dict__.copy()
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||||
# Remove fields that are not needed
|
||||
del odict['hook']
|
||||
del odict['setKwargs']
|
||||
# Return the dict
|
||||
return odict
|
||||
|
||||
def __setstate__(self,odict):
|
||||
'''
|
||||
Function that sets a pickle dictionary in to an object.
|
||||
|
||||
Used when doing:
|
||||
object = pickle.load(pickleFile)
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||||
'''
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||||
# Update the dict
|
||||
self.__dict__.update(odict)
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||||
# Re-hook the methods to the object
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||||
Utils.codeutils.hook(self,Utils.codeutils.hook)
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||||
Utils.codeutils.hook(self,Utils.codeutils.setKwargs)
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|
||||
def __init__(self, survey, **kwargs):
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assert survey.ispaired, 'The survey must be paired to a problem.'
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if isinstance(survey, Survey.BaseSurvey):
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||||
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||||
@@ -8,6 +8,34 @@ class InversionDirective(object):
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def __init__(self, **kwargs):
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Utils.setKwargs(self, **kwargs)
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||||
|
||||
# Pickleing support methods
|
||||
def __getstate__(self):
|
||||
'''
|
||||
Method that makes the dictionary of the object pickleble, removes non-pickleble elements of the object.
|
||||
|
||||
Used when doing:
|
||||
pickle.dump(pickleFile,object)
|
||||
'''
|
||||
odict = self.__dict__.copy()
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||||
# Remove fields that are not needed
|
||||
del odict['hook']
|
||||
del odict['setKwargs']
|
||||
# Return the dict
|
||||
return odict
|
||||
|
||||
def __setstate__(self,odict):
|
||||
'''
|
||||
Function that sets a pickle dictionary in to an object.
|
||||
|
||||
Used when doing:
|
||||
object = pickle.load(pickleFile)
|
||||
'''
|
||||
# Update the dict
|
||||
self.__dict__.update(odict)
|
||||
# Re-hook the methods to the object
|
||||
Utils.codeutils.hook(self,Utils.codeutils.hook)
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Utils.codeutils.hook(self,Utils.codeutils.setKwargs)
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|
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@property
|
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def inversion(self):
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"""This is the inversion of the InversionDirective instance."""
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@@ -207,6 +235,76 @@ class SaveOutputEveryIteration(_SaveEveryIteration):
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f.close()
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|
||||
|
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class SaveOutputDictEveryIteration(_SaveEveryIteration):
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"""SaveOutputDictEveryIteration"""
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|
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def initialize(self):
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print "SimPEG.SaveOutputDictEveryIteration will save your inversion progress as dictionary: '###-%s.npz'"%self.fileName
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|
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def endIter(self):
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# Save the data.
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ms = self.reg.Ws * ( self.reg.mapping * (self.invProb.curModel - self.reg.mref) )
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phi_ms = 0.5*ms.dot(ms)
|
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if self.reg.smoothModel == True:
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mref = self.reg.mref
|
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else:
|
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mref = 0
|
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mx = self.reg.Wx * ( self.reg.mapping * (self.invProb.curModel - mref) )
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phi_mx = 0.5 * mx.dot(mx)
|
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if self.prob.mesh.dim==2:
|
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my = self.reg.Wy * ( self.reg.mapping * (self.invProb.curModel - mref) )
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phi_my = 0.5 * my.dot(my)
|
||||
else:
|
||||
phi_my = 'NaN'
|
||||
if self.prob.mesh.dim==3:
|
||||
mz = self.reg.Wz * ( self.reg.mapping * (self.invProb.curModel - mref) )
|
||||
phi_mz = 0.5 * mz.dot(mz)
|
||||
else:
|
||||
phi_mz = 'NaN'
|
||||
|
||||
|
||||
# Save the file as a npz
|
||||
np.savez('{:03d}-{:s}'.format(self.opt.iter,self.fileName), iter=self.opt.iter, beta=self.invProb.beta, phi_d=self.invProb.phi_d, phi_m=self.invProb.phi_m, phi_ms=phi_ms, phi_mx=phi_mx, phi_my=phi_my, phi_mz=phi_mz,f=self.opt.f, m=self.invProb.curModel)
|
||||
|
||||
|
||||
class SaveOutputDictEveryIteration(_SaveEveryIteration):
|
||||
"""SaveOutputDictEveryIteration
|
||||
|
||||
A directive that saves some relevant information from the inversion run to a numpy .npz dictionary file (see numpy.savez function for further info).
|
||||
|
||||
|
||||
|
||||
"""
|
||||
|
||||
def initialize(self):
|
||||
print "SimPEG.SaveOutputDictEveryIteration will save your inversion progress as dictionary: '###-%s.npz'"%self.fileName
|
||||
|
||||
def endIter(self):
|
||||
# Save the data.
|
||||
ms = self.reg.Ws * ( self.reg.mapping * (self.invProb.curModel - self.reg.mref) )
|
||||
phi_ms = 0.5*ms.dot(ms)
|
||||
if self.reg.smoothModel == True:
|
||||
mref = self.reg.mref
|
||||
else:
|
||||
mref = 0
|
||||
mx = self.reg.Wx * ( self.reg.mapping * (self.invProb.curModel - mref) )
|
||||
phi_mx = 0.5 * mx.dot(mx)
|
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if self.prob.mesh.dim==2:
|
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my = self.reg.Wy * ( self.reg.mapping * (self.invProb.curModel - mref) )
|
||||
phi_my = 0.5 * my.dot(my)
|
||||
else:
|
||||
phi_my = 'NaN'
|
||||
if self.prob.mesh.dim==3:
|
||||
mz = self.reg.Wz * ( self.reg.mapping * (self.invProb.curModel - mref) )
|
||||
phi_mz = 0.5 * mz.dot(mz)
|
||||
else:
|
||||
phi_mz = 'NaN'
|
||||
|
||||
|
||||
# Save the file as a npz
|
||||
np.savez('{:03d}-{:s}'.format(self.opt.iter,self.fileName), iter=self.opt.iter, beta=self.invProb.beta, phi_d=self.invProb.phi_d, phi_m=self.invProb.phi_m, phi_ms=phi_ms, phi_mx=phi_mx, phi_my=phi_my, phi_mz=phi_mz,f=self.opt.f, m=self.invProb.curModel,dpred=self.invProb.dpred)
|
||||
|
||||
|
||||
|
||||
|
||||
# class UpdateReferenceModel(Parameter):
|
||||
|
||||
@@ -1,112 +0,0 @@
|
||||
### PROTOTYPE INTERFACE FOR PARALLEL DISPATCHER ###
|
||||
|
||||
from functools import wraps
|
||||
|
||||
def synchronize(fn):
|
||||
@wraps(fn)
|
||||
def wrapper(*args, **kwargs):
|
||||
self = args[0]
|
||||
|
||||
pr = isinstance(getattr(self, '_dispatcher', None), ParallelDispatcher)
|
||||
if pr:
|
||||
print('Parallel stuff: (start) %(prob)s.%(fn)s'%{'prob': self.__class__.__name__, 'fn': fn.__name__})
|
||||
|
||||
result = fn(*args, **kwargs)
|
||||
|
||||
if pr:
|
||||
print('Parallel stuff: ( end ) %(prob)s.%(fn)s'%{'prob': self.__class__.__name__, 'fn': fn.__name__})
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||||
|
||||
return result
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||||
|
||||
return wrapper
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||||
|
||||
|
||||
class BaseDispatcher(object):
|
||||
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||||
def __init__(self, *args, **kwargs):
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print('INIT: Dispatcher!')
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def pair(self, problem):
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||||
self._prob = problem
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||||
print('PAIR: Dispatcher setup...')
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||||
|
||||
class SerialDispatcher(BaseDispatcher):
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||||
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||||
def __init__(self, *args, **kwargs):
|
||||
BaseDispatcher.__init__(self, *args, **kwargs)
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||||
print('INIT: Serial dispatcher...')
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||||
|
||||
class ParallelDispatcher(BaseDispatcher):
|
||||
|
||||
remoteOnly = ['someotherattribute']
|
||||
|
||||
def __init__(self, *args, **kwargs):
|
||||
BaseDispatcher.__init__(self, *args, **kwargs)
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print('INIT: Parallel dispatcher...')
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||||
|
||||
def pair(self, problem):
|
||||
BaseDispatcher.pair(self, problem)
|
||||
print('PAIR: Parallel dispatcher setup...')
|
||||
|
||||
def interceptSetattr(self, prob, name, value):
|
||||
print('SET: Parallel dispatcher set %(prob)s.%(name)s = %(value)r'
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||||
%{'prob': prob.__class__.__name__, 'name': name, 'value': value})
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||||
|
||||
if name in self.remoteOnly:
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||||
print('Setting remote state...')
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||||
else:
|
||||
raise AttributeError('Set local copy!')
|
||||
|
||||
def interceptGetattr(self, prob, name):
|
||||
print('GET: Parallel dispatcher get %(prob)s.%(name)s'
|
||||
%{'prob': prob.__class__.__name__, 'name': name})
|
||||
|
||||
if name in self.remoteOnly:
|
||||
return '***Value from remote state***'
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||||
else:
|
||||
raise AttributeError('Attribute %s not in parallel namespace!'%(name,))
|
||||
|
||||
class StandinSurvey(object):
|
||||
|
||||
def pair(self, problem):
|
||||
self._prob = problem
|
||||
|
||||
class StandinProblem(object):
|
||||
|
||||
def __init__(self):
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||||
print('INIT: Problem!')
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||||
self._dispatcher = SerialDispatcher()
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||||
|
||||
def __setattr__(self, name, value):
|
||||
d = getattr(self, '_dispatcher', None)
|
||||
|
||||
if isinstance(d, ParallelDispatcher):
|
||||
try:
|
||||
d.interceptSetattr(self, name, value)
|
||||
except AttributeError:
|
||||
super(self.__class__, self).__setattr__(name, value)
|
||||
finally:
|
||||
return
|
||||
|
||||
else:
|
||||
super(self.__class__, self).__setattr__(name, value)
|
||||
|
||||
def __getattr__(self, name):
|
||||
d = super(self.__class__, self).__getattribute__('_dispatcher')
|
||||
|
||||
if isinstance(d, ParallelDispatcher):
|
||||
return d.interceptGetattr(self, name)
|
||||
|
||||
def pair(self, survey, dispatcher=None):
|
||||
|
||||
self._survey = survey
|
||||
self._survey.pair(self)
|
||||
|
||||
if dispatcher is not None:
|
||||
self._dispatcher = dispatcher
|
||||
print('PAIR: Problem setup...')
|
||||
self._dispatcher.pair(self)
|
||||
|
||||
@synchronize
|
||||
def dosomething(self):
|
||||
print('Doing something!')
|
||||
@@ -12,6 +12,34 @@ class Fields(object):
|
||||
aliasFields = None #: Aliased fields, a dict with [alias, location, function], e.g. {"b":["e","F",lambda(F,e,ind)]}
|
||||
dtype = float #: dtype is the type of the storage matrix. This can be a dictionary.
|
||||
|
||||
# Pickleing support methods
|
||||
def __getstate__(self):
|
||||
'''
|
||||
Method that makes the dictionary of the object pickleble, removes non-pickleble elements of the object.
|
||||
|
||||
Used when doing:
|
||||
pickle.dump(pickleFile,object)
|
||||
'''
|
||||
odict = self.__dict__.copy()
|
||||
# Remove fields that are not needed
|
||||
del odict['hook']
|
||||
del odict['setKwargs']
|
||||
# Return the dict
|
||||
return odict
|
||||
|
||||
def __setstate__(self,odict):
|
||||
'''
|
||||
Function that sets a pickle dictionary in to an object.
|
||||
|
||||
Used when doing:
|
||||
object = pickle.load(pickleFile)
|
||||
'''
|
||||
# Update the dict
|
||||
self.__dict__.update(odict)
|
||||
# Re-hook the methods to the object
|
||||
Utils.codeutils.hook(self,Utils.codeutils.hook)
|
||||
Utils.codeutils.hook(self,Utils.codeutils.setKwargs)
|
||||
|
||||
def __init__(self, mesh, survey, **kwargs):
|
||||
self.survey = survey
|
||||
self.mesh = mesh
|
||||
|
||||
+27
-3
@@ -17,6 +17,30 @@ class IdentityMap(object):
|
||||
Utils.setKwargs(self, **kwargs)
|
||||
self.mesh = mesh
|
||||
|
||||
# Pickleing support methods
|
||||
def __getstate__(self):
|
||||
'''
|
||||
Method that makes the dictionary of the object pickleble, removes non-pickleble elements of the object.
|
||||
|
||||
Used when doing:
|
||||
pickle.dump(pickleFile,object)
|
||||
'''
|
||||
odict = self.__dict__.copy()
|
||||
# Remove fields that are not needed
|
||||
# Return the dict
|
||||
return odict
|
||||
|
||||
def __setstate__(self,odict):
|
||||
'''
|
||||
Function that sets a pickle dictionary in to an object.
|
||||
|
||||
Used when doing:
|
||||
object = pickle.load(pickleFile)
|
||||
'''
|
||||
# Update the dict
|
||||
self.__dict__.update(odict)
|
||||
# Re-hook the methods to the object
|
||||
|
||||
@property
|
||||
def nP(self):
|
||||
"""
|
||||
@@ -289,7 +313,7 @@ class FullMap(IdentityMap):
|
||||
"""
|
||||
FullMap
|
||||
|
||||
Given a scalar, the FullMap maps the value to the
|
||||
Given a scalar, the FullMap maps the value to the
|
||||
full model space.
|
||||
"""
|
||||
|
||||
@@ -314,8 +338,8 @@ class FullMap(IdentityMap):
|
||||
:rtype: numpy.array
|
||||
:return: derivative of transformed model
|
||||
"""
|
||||
return np.ones([self.mesh.nC,1])
|
||||
|
||||
return np.ones([self.mesh.nC,1])
|
||||
|
||||
|
||||
class Vertical1DMap(IdentityMap):
|
||||
"""Vertical1DMap
|
||||
|
||||
@@ -33,7 +33,7 @@ class InnerProducts(object):
|
||||
return self._getInnerProduct('E', prop=prop, invProp=invProp, invMat=invMat, doFast=doFast)
|
||||
|
||||
def _getInnerProduct(self, projType, prop=None, invProp=False, invMat=False, doFast=True):
|
||||
"""
|
||||
"""r
|
||||
:param str projType: 'F' for faces 'E' for edges
|
||||
:param numpy.array prop: material property (tensor properties are possible) at each cell center (nC, (1, 3, or 6))
|
||||
:param bool invProp: inverts the material property
|
||||
|
||||
@@ -115,6 +115,34 @@ class Minimize(object):
|
||||
|
||||
Utils.setKwargs(self, **kwargs)
|
||||
|
||||
# Pickleing support methods
|
||||
def __getstate__(self):
|
||||
'''
|
||||
Method that makes the dictionary of the object pickleble, removes non-pickleble elements of the object.
|
||||
|
||||
Used when doing:
|
||||
pickle.dump(pickleFile,object)
|
||||
'''
|
||||
odict = self.__dict__.copy()
|
||||
# Remove fields that are not needed
|
||||
del odict['hook']
|
||||
del odict['setKwargs']
|
||||
# Return the dict
|
||||
return odict
|
||||
|
||||
def __setstate__(self,odict):
|
||||
'''
|
||||
Function that sets a pickle dictionary in to an object.
|
||||
|
||||
Used when doing:
|
||||
object = pickle.load(pickleFile)
|
||||
'''
|
||||
# Update the dict
|
||||
self.__dict__.update(odict)
|
||||
# Re-hook the methods to the object
|
||||
Utils.codeutils.hook(self,Utils.codeutils.hook)
|
||||
Utils.codeutils.hook(self,Utils.codeutils.setKwargs)
|
||||
|
||||
@property
|
||||
def callback(self):
|
||||
return getattr(self, '_callback', None)
|
||||
|
||||
@@ -1,638 +0,0 @@
|
||||
from ipyparallel import Client, parallel, Reference, require, depend, interactive
|
||||
from SimPEG.Utils import CommonReducer
|
||||
import numpy as np
|
||||
import networkx
|
||||
|
||||
DEFAULT_MPI = True
|
||||
MPI_BELLWETHERS = ['PMI_SIZE', 'OMPI_UNIVERSE_SIZE']
|
||||
|
||||
class SuperReference(object):
|
||||
'''
|
||||
Object that can be called to return a reference, but
|
||||
will only be schedulable on the correct worker(s) if
|
||||
its 'lrank' parameter has been set.
|
||||
'''
|
||||
|
||||
def __init__(self, ref, lrank=None):
|
||||
|
||||
if (lrank is None) or (type(lrank) is list):
|
||||
self.rank = lrank
|
||||
else:
|
||||
self.rank = [lrank]
|
||||
|
||||
self.ref = ref
|
||||
|
||||
def __call__(self, *args, **kwargs):
|
||||
|
||||
from ipyparallel import depend
|
||||
from ipyparallel.error import UnmetDependency
|
||||
|
||||
if (self.rank is not None) and (globals().get('rank', None) not in self.rank):
|
||||
raise UnmetDependency('Global \'rank\' does not satisfy requirements')
|
||||
|
||||
return self.ref(*args, **kwargs)
|
||||
|
||||
class Endpoint(object):
|
||||
'''
|
||||
Object that holds the namespace of the SimPEG parallel
|
||||
footprint on the remote workers.
|
||||
'''
|
||||
|
||||
problemFactory = lambda: None # Callable for constructing system / problem
|
||||
surveyFactory = lambda: None # Callable for constructing survey
|
||||
localFields = {} # Dictionary for storing local fields
|
||||
globalFields = {} # Dictionary for storing merged fields
|
||||
localProblems = {} # Dictionary of local subsystem / problem objects
|
||||
localSurveys = {} # Dictionary of local survey objects
|
||||
functions = {} # Dictionary of callables to carry out modelling / etc.
|
||||
fieldspec = None # Dictionary of callables to setup field storage objects
|
||||
baseSystemConfig = {} # Base configuration for system
|
||||
|
||||
def setupLocalFields(self, whichfields=None):
|
||||
|
||||
# If no names are specified, clear all fields first
|
||||
if whichfields is None:
|
||||
self.localFields = {}
|
||||
|
||||
# If we have a 'fieldspec' object...
|
||||
if getattr(self, 'fieldspec', None) is not None:
|
||||
# ...either loop over the specified names, or all the fields...
|
||||
for fn in (whichfields or self.fieldspec):
|
||||
# ...and construct a new empty object per the 'fieldspec' constructor.
|
||||
self.localFields[fn] = self.fieldspec[fn]()
|
||||
|
||||
def setupLocalSurveys(self, subConfigs):
|
||||
|
||||
# Loop over possible survey configurations (may differ in source terms, etc.)
|
||||
for isub in subConfigs:
|
||||
# For each 'isub' create a separate copy of the base configuration...
|
||||
geom = self.baseSystemConfig['geom'].copy()
|
||||
# ...and update with any differences...
|
||||
geom.update(subConfigs[isub])
|
||||
# ...then construct the Survey object and store it for later pairing.
|
||||
self.localSurveys[isub] = self.surveyFactory(geom)
|
||||
|
||||
def setupLocalProblem(self, subConfig):
|
||||
|
||||
# Make a copy w/o the geometry information (which is used by Survey)
|
||||
systemConfig = {key: self.baseSystemConfig[key] for key in self.baseSystemConfig if key not in ['geom']}
|
||||
|
||||
# Update with the configuration for this subproblem
|
||||
systemConfig.update(subConfig)
|
||||
|
||||
# Create the local subproblem...
|
||||
problem = self.problemFactory(systemConfig)
|
||||
# ...and pair it with a corresponding survey for this 'isub' (e.g., frequency)...
|
||||
problem.pair(self.localSurveys[subConfig['isub']])
|
||||
# ...then store in the Endpoint for later access by the scheduler.
|
||||
self.localProblems[subConfig['tag']] = problem
|
||||
|
||||
|
||||
class SystemGraph(networkx.DiGraph):
|
||||
'''
|
||||
NetworkX Directed Graph subclass that knows about
|
||||
job status information, and can return a representation
|
||||
of itself for use in interactive debugging/testing.
|
||||
'''
|
||||
|
||||
@staticmethod
|
||||
def _codeStatus(data):
|
||||
|
||||
status = 0
|
||||
|
||||
if 'jobs' in data:
|
||||
status = 1 * data['jobs'][-1].ready() + 1
|
||||
if status > 1:
|
||||
status += 1 * (not data['jobs'][-1].successful())
|
||||
|
||||
return status
|
||||
|
||||
def _codeGraph(self):
|
||||
from networkx.readwrite import json_graph
|
||||
|
||||
G = networkx.DiGraph()
|
||||
|
||||
for e in self.edges_iter():
|
||||
G.add_edge(e[0], e[1])
|
||||
|
||||
for n, data in self.nodes_iter(data=True):
|
||||
G.add_node(n, status=self._codeStatus(data))
|
||||
|
||||
return json_graph.node_link_data(G)
|
||||
|
||||
def RenderHTML(self):
|
||||
import pkg_resources
|
||||
from IPython.core import display
|
||||
import time
|
||||
|
||||
data = str(self._codeGraph())
|
||||
uniqueID = hash(time.time())
|
||||
|
||||
formatstr = {
|
||||
'uniqueID': 'Graph%s'%uniqueID,
|
||||
'JSONData': data,
|
||||
}
|
||||
|
||||
code = pkg_resources.resource_string('SimPEG', 'Resources/Parallel/SystemGraph.html')%formatstr
|
||||
|
||||
return display.HTML(data=code)._repr_html_()
|
||||
|
||||
try:
|
||||
get_ipython().display_formatter.formatters['text/html'].for_type(SystemGraph, SystemGraph.RenderHTML)
|
||||
except NameError:
|
||||
pass
|
||||
|
||||
class SystemSolver(object):
|
||||
|
||||
def __init__(self, problem, schedule):
|
||||
|
||||
self.problem = problem
|
||||
self.remote = problem.remote
|
||||
self.schedule = schedule
|
||||
|
||||
def __call__(self, entry, isrcs):
|
||||
|
||||
# TODO: Replace with SuperReference instances
|
||||
fnformat = '%s.functions["%s"]'
|
||||
fnRef = Reference(fnformat%(self.remote.endpointName, self.schedule[entry]['solve']))
|
||||
clearRef = Reference(fnformat%(self.remote.endpointName, self.schedule[entry]['clear']))
|
||||
reduceLabels = self.schedule[entry]['reduce']
|
||||
|
||||
dview = self.problem.remote.dview
|
||||
lview = self.problem.remote.lview
|
||||
|
||||
chunksPerWorker = getattr(self.problem, 'chunksPerWorker', 1)
|
||||
|
||||
G = SystemGraph()
|
||||
|
||||
mainNode = 'Beginning'
|
||||
G.add_node(mainNode)
|
||||
|
||||
# Parse sources
|
||||
# TODO: Get from Survey somehow?
|
||||
nsrc = self.problem.nsrc
|
||||
if isrcs is None:
|
||||
isrcs = slice(None)
|
||||
|
||||
elif not isinstance(isrcs, slice):
|
||||
raise Exception('Scheduler must run over slice or None!')
|
||||
|
||||
# TODO: Replace w/ hook into Endpoint classes
|
||||
systemsOnWorkers = dview['%s.localProblems.keys()'%self.remote.endpointName]
|
||||
ids = dview['rank']
|
||||
tags = set()
|
||||
for ltags in systemsOnWorkers:
|
||||
tags = tags.union(set(ltags))
|
||||
|
||||
clearJobs = []
|
||||
endNodes = {}
|
||||
tailNodes = []
|
||||
|
||||
for tag in tags:
|
||||
|
||||
tagNode = 'Head: %d, %d'%tag
|
||||
G.add_edge(mainNode, tagNode)
|
||||
|
||||
relIDs = []
|
||||
for i in xrange(len(ids)):
|
||||
|
||||
systems = systemsOnWorkers[i]
|
||||
rank = ids[i]
|
||||
|
||||
if tag in systems:
|
||||
relIDs.append(rank)
|
||||
|
||||
systemJobs = []
|
||||
endNodes[tag] = []
|
||||
systemNodes = []
|
||||
|
||||
with lview.temp_flags(block=False):
|
||||
iworks = 0
|
||||
for work in self._subSlice(isrcs, int(round(chunksPerWorker*len(relIDs)))):
|
||||
if work:
|
||||
job = lview.apply(fnRef, Reference(self.remote.endpointName), tag, work)
|
||||
systemJobs.append(job)
|
||||
label = 'Compute: %d, %d, %d'%(tag[0], tag[1], iworks)
|
||||
systemNodes.append(label)
|
||||
G.add_node(label, jobs=[job], subslice=work, tag=tag)
|
||||
G.add_edge(tagNode, label)
|
||||
iworks += 1
|
||||
|
||||
if getattr(self.problem, 'ensembleClear', False): # True for ensemble ending, False for individual ending
|
||||
tagNode = 'Wrap: %d, %d'%tag
|
||||
for label in systemNodes:
|
||||
G.add_edge(label, tagNode)
|
||||
|
||||
for rank in relIDs:
|
||||
|
||||
with lview.temp_flags(block=False, after=systemJobs):
|
||||
# TODO: Remove dependency on self._hasSystemRank, once the SuperReferences
|
||||
# are able to be used. They will automatically schedule only on the
|
||||
# correct (allowed) systems.
|
||||
job = lview.apply(clearRef, Reference(self.remote.endpointName), tag, rank)
|
||||
clearJobs.append(job)
|
||||
label = 'Wrap: %d, %d, %d'%(tag[0],tag[1], rank)
|
||||
G.add_node(label, jobs=[job], tag=tag, rank=rank)
|
||||
endNodes[tag].append(label)
|
||||
G.add_edge(tagNode, label)
|
||||
else:
|
||||
|
||||
for i, sjob in enumerate(systemJobs):
|
||||
with lview.temp_flags(block=False, follow=sjob, after=sjob):
|
||||
job = lview.apply(clearRef, Reference(self.remote.endpointName), tag)
|
||||
clearJobs.append(job)
|
||||
label = 'Wrap: %d, %d, %d'%(tag[0],tag[1],i)
|
||||
G.add_node(label, jobs=[job])
|
||||
endNodes[tag].append(label)
|
||||
G.add_edge(systemNodes[i], label)
|
||||
|
||||
tagNode = 'Tail: %d, %d'%tag
|
||||
for label in endNodes[tag]:
|
||||
G.add_edge(label, tagNode)
|
||||
tailNodes.append(tagNode)
|
||||
|
||||
endNode = 'End'
|
||||
jobs = []
|
||||
after = clearJobs
|
||||
for label in reduceLabels:
|
||||
job = self.problem.remote.reduceLB(Reference(self.remote.endpointName), label, after)
|
||||
after = job
|
||||
if job is not None:
|
||||
jobs.append(job)
|
||||
G.add_node(endNode, jobs=jobs)
|
||||
for node in tailNodes:
|
||||
G.add_edge(node, endNode)
|
||||
|
||||
return G
|
||||
|
||||
def wait(self, G):
|
||||
self.problem.remote.lview.wait(G.node['End']['jobs'] if G.node['End']['jobs'] else (G.node[wn]['jobs'] for wn in (G.predecessors(tn)[0] for tn in G.predecessors('End'))))
|
||||
|
||||
# TODO: Hopefully obsoleted by SuperReference
|
||||
@staticmethod
|
||||
@interactive
|
||||
def _hasSystemRank(endpoint, tag, wid):
|
||||
global rank
|
||||
|
||||
return (tag in endpoint.localProblems) and (rank == wid)
|
||||
|
||||
@staticmethod
|
||||
def _getChunks(problems, chunks=1):
|
||||
nproblems = len(problems)
|
||||
return (problems[i*nproblems // chunks: (i+1)*nproblems // chunks] for i in range(chunks))
|
||||
|
||||
@staticmethod
|
||||
def _subSlice(insl, chunks=1):
|
||||
start = insl.start or 0
|
||||
nproblems = insl.stop - start
|
||||
return [slice(start + i*nproblems/chunks, start + (i+1)*nproblems/chunks) for i in xrange(chunks)]
|
||||
|
||||
|
||||
class RemoteInterface(object):
|
||||
|
||||
def __init__(self, profile=None, MPI=None, nThreads=1, bootstrap=None, endpointName='endpoint'):
|
||||
|
||||
# TODO: Add interface for namespace bootstrapping from
|
||||
# the dispatcher / problem side
|
||||
|
||||
if profile is not None:
|
||||
pupdate = {'profile': profile}
|
||||
else:
|
||||
pupdate = {}
|
||||
|
||||
pclient = Client(**pupdate)
|
||||
|
||||
if not self._cdSame(pclient):
|
||||
print('Could not change all workers to the same directory as the client!')
|
||||
|
||||
dview = pclient[:]
|
||||
dview.block = True
|
||||
dview.clear()
|
||||
|
||||
remoteSetup = '''
|
||||
import os'''
|
||||
|
||||
parMPISetup = '''
|
||||
from mpi4py import MPI
|
||||
comm = MPI.COMM_WORLD
|
||||
rank = comm.Get_rank()'''
|
||||
|
||||
for command in remoteSetup.strip().split('\n'):
|
||||
dview.execute(command.strip())
|
||||
|
||||
dview.scatter('rank', pclient.ids, flatten=True)
|
||||
|
||||
self.e0 = pclient[0]
|
||||
self.e0.block = True
|
||||
|
||||
self.useMPI = False
|
||||
MPI = DEFAULT_MPI if MPI is None else MPI
|
||||
if MPI:
|
||||
MPISafe = False
|
||||
|
||||
for var in MPI_BELLWETHERS:
|
||||
MPISafe = MPISafe or all(dview['os.getenv("%s")'%(var,)])
|
||||
|
||||
if MPISafe:
|
||||
for command in parMPISetup.strip().split('\n'):
|
||||
dview.execute(command.strip())
|
||||
ranks = dview['rank']
|
||||
reorder = [ranks.index(i) for i in xrange(len(ranks))]
|
||||
dview = pclient[reorder]
|
||||
dview.block = True
|
||||
dview.activate()
|
||||
|
||||
# Set up necessary parts for broadcast-based communication
|
||||
self.e0 = pclient[reorder[0]]
|
||||
self.e0.block = True
|
||||
self.comm = Reference('comm')
|
||||
|
||||
self.useMPI = MPISafe
|
||||
|
||||
self.pclient = pclient
|
||||
self.dview = dview
|
||||
self.lview = pclient.load_balanced_view()
|
||||
|
||||
self.nThreads = nThreads
|
||||
|
||||
if bootstrap is not None:
|
||||
for command in bootstrap.strip().split('\n'):
|
||||
dview.execute(command.strip())
|
||||
|
||||
self.endpointName = endpointName
|
||||
|
||||
@property
|
||||
def nThreads(self):
|
||||
return self._nThreads
|
||||
@nThreads.setter
|
||||
def nThreads(self, value):
|
||||
self._nThreads = value
|
||||
self.dview.apply(self._adjustMKLVectorization, self._nThreads)
|
||||
|
||||
|
||||
def __setitem__(self, key, item):
|
||||
|
||||
if self.useMPI:
|
||||
self.e0[key] = item
|
||||
code = 'if rank != 0: %(key)s = None\n%(key)s = comm.bcast(%(key)s, root=0)'
|
||||
self.dview.execute(code%{'key': key})
|
||||
|
||||
else:
|
||||
self.dview[key] = item
|
||||
|
||||
def __getitem__(self, key):
|
||||
|
||||
if self.useMPI:
|
||||
code = 'temp_%(key)s = None\ntemp_%(key)s = comm.gather(%(key)s, root=%(root)d)'
|
||||
self.dview.execute(code%{'key': key, 'root': 0})
|
||||
item = self.e0['temp_%s'%(key,)]
|
||||
self.e0.execute('del temp_%s'%(key,))
|
||||
|
||||
else:
|
||||
item = self.dview[key]
|
||||
|
||||
return item
|
||||
|
||||
def reduceLB(self, endpoint, key, after=None):
|
||||
|
||||
repeat = lambda value: (value for i in xrange(len(self.pclient.ids)))
|
||||
|
||||
if self.useMPI:
|
||||
with self.lview.temp_flags(block=False, after=after):
|
||||
job = self.lview.map(self._reduceJob, xrange(len(self.pclient.ids)), repeat(0), repeat(endpoint), repeat(key))
|
||||
|
||||
return job
|
||||
|
||||
def reduce(self, key, axis=None):
|
||||
|
||||
if self.useMPI:
|
||||
code = 'temp_%(key)s = comm.reduce(%(key)s, root=%(root)d)'
|
||||
self.dview.execute(code%{'key': key, 'root': 0})
|
||||
|
||||
# if axis is not None:
|
||||
# code = 'temp_%(key)s = temp_%(key)s.sum(axis=%(axis)d)'
|
||||
# self.e0.execute(code%{'key': key, 'axis': axis})
|
||||
|
||||
item = self.e0['temp_%s'%(key,)]
|
||||
self.dview.execute('del temp_%s'%(key,))
|
||||
|
||||
else:
|
||||
item = reduce(np.add, self.dview[key])
|
||||
|
||||
return item
|
||||
|
||||
def reduceMul(self, key1, key2, axis=None):
|
||||
|
||||
if self.useMPI:
|
||||
# Gather
|
||||
code_reduce = 'temp_%(key)s = comm.reduce(%(key)s, root=%(root)d)'
|
||||
self.dview.execute(code_reduce%{'key': key1, 'root': 0})
|
||||
self.dview.execute(code_reduce%{'key': key2, 'root': 0})
|
||||
|
||||
# Multiply
|
||||
code_mul = 'temp_%(key1)s%(key2)s = temp_%(key1)s * temp_%(key2)s'
|
||||
self.e0.execute(code_mul%{'key1': key1, 'key2': key2})
|
||||
|
||||
# Potentially sum
|
||||
if axis is not None:
|
||||
code = 'temp_%(key1)s%(key2)s = temp_%(key1)s%(key2)s.sum(axis=%(axis)d)'
|
||||
self.e0.execute(code%{'key1': key1, 'key2': key2, 'axis': axis})
|
||||
|
||||
# Pull
|
||||
item = self.e0['temp_%(key1)s%(key2)s'%{'key1': key1, 'key2': key2}]
|
||||
|
||||
# Clear
|
||||
self.dview.execute('del temp_%s'%(key1,))
|
||||
self.dview.execute('del temp_%s'%(key2,))
|
||||
self.e0.execute('del temp_%(key1)s%(key2)s'%{'key1': key1, 'key2': key2})
|
||||
|
||||
else:
|
||||
item1 = reduce(np.add, self.dview[key1])
|
||||
item2 = reduce(np.add, self.dview[key2])
|
||||
item = item1 * item2
|
||||
|
||||
return item
|
||||
|
||||
def remoteMulE0(self, key1, key2, axis=None):
|
||||
|
||||
code_mul = 'temp_field = %(key1)s * %(key2)s'
|
||||
self.e0.execute(code_mul%{'key1': key1, 'key2': key2})
|
||||
|
||||
if axis is not None:
|
||||
code = 'temp_field = temp_field.sum(axis=%(axis)d)'
|
||||
self.e0.execute(code%{'axis': axis})
|
||||
|
||||
item = self.e0['temp_field']
|
||||
self.e0.execute('del temp_field')
|
||||
|
||||
return item
|
||||
|
||||
def remoteDifference(self, key1, key2, keyresult):
|
||||
|
||||
if self.useMPI:
|
||||
|
||||
root = 0
|
||||
|
||||
# Gather
|
||||
code_reduce = 'temp_%(key)s = comm.reduce(%(key)s, root=%(root)d)'
|
||||
self.dview.execute(code_reduce%{'key': key1, 'root': root})
|
||||
self.dview.execute(code_reduce%{'key': key2, 'root': root})
|
||||
|
||||
# Difference
|
||||
code_difference = '%(keyresult)s = temp_%(key1)s - temp_%(key2)s'
|
||||
self.e0.execute(code_difference%{'key1': key1, 'key2': key2, 'keyresult': keyresult})
|
||||
|
||||
# Broadcast
|
||||
code = 'if rank != 0: %(key)s = None\n%(key)s = comm.bcast(%(key)s, root=%(root)d)'
|
||||
self.dview.execute(code%{'key': keyresult, 'root': root})
|
||||
|
||||
# Clear
|
||||
self.e0.execute('del temp_%s'%(key1,))
|
||||
self.e0.execute('del temp_%s'%(key2,))
|
||||
|
||||
else:
|
||||
item1 = reduce(np.add, self.dview[key1])
|
||||
item2 = reduce(np.add, self.dview[key2])
|
||||
|
||||
item = item1 - item2
|
||||
self.dview[keyresult] = item
|
||||
|
||||
def remoteOpGatherFirst(self, op, key1, key2, keyresult):
|
||||
|
||||
if self.useMPI:
|
||||
|
||||
root = 0
|
||||
|
||||
# Gather
|
||||
code_reduce = 'temp_%(key)s = comm.reduce(%(key)s, root=%(root)d)'
|
||||
self.dview.execute(code_reduce%{'key': key1, 'root': root})
|
||||
|
||||
# Difference
|
||||
code_difference = '%(keyresult)s = temp_%(key1)s %(op)s %(key2)s'
|
||||
self.e0.execute(code_difference%{'op': op, 'key1': key1, 'key2': key2, 'keyresult': keyresult})
|
||||
|
||||
# Broadcast
|
||||
code = 'if rank != 0: %(key)s = None\n%(key)s = comm.bcast(%(key)s, root=%(root)d)'
|
||||
self.dview.execute(code%{'key': keyresult, 'root': root})
|
||||
|
||||
# Clear
|
||||
self.e0.execute('del temp_%s'%(key1,))
|
||||
|
||||
else:
|
||||
item1 = reduce(np.add, self.dview[key1])
|
||||
item2 = self.e0[key2] # Assumes that any arbitrary worker has this information
|
||||
|
||||
item = eval('item1 %s item2'%(op,))
|
||||
self.dview[keyresult] = item
|
||||
|
||||
def remoteDifferenceGatherFirst(self, *args):
|
||||
self.remoteOpGatherFirst('-', *args)
|
||||
|
||||
def remoteSrcEstGatherFirst(self, keyresult, key1, key2, individual=False):
|
||||
|
||||
if self.useMPI:
|
||||
|
||||
root = 0
|
||||
|
||||
# # Gather
|
||||
# code_reduce = 'temp_%(key)s = comm.reduce(%(key)s, root=%(root)d)'
|
||||
# self.dview.execute(code_reduce%{'key': key1, 'root': root})
|
||||
|
||||
# SrcEst
|
||||
if individual:
|
||||
code_srcest = '%(keyresult)s = (%(key2)s.conj() * %(key1)s).sum(axis=1) / (%(key1)s.conj() * %(key1)s).sum(axis=1)'
|
||||
else:
|
||||
code_srcest = '%(keyresult)s = (%(key2)s.conj() * %(key1)s).sum() / (%(key1)s.conj() * %(key1)s).sum()'
|
||||
self.e0.execute(code_srcest%{'key1': key1, 'key2': key2, 'keyresult': keyresult})
|
||||
|
||||
# Broadcast
|
||||
code = 'if rank != %(root)d: %(key)s = None\n%(key)s = comm.bcast(%(key)s, root=%(root)d)'
|
||||
self.dview.execute(code%{'key': keyresult, 'root': root})
|
||||
|
||||
else:
|
||||
|
||||
item1 = reduce(np.add, self.dview[key1])
|
||||
item2 = self.e0[key2]
|
||||
|
||||
if individual:
|
||||
item = (item2.conj() * item1).sum(axis=1) / (item1.conj() * item1).sum(axis=1)
|
||||
else:
|
||||
item = (item2.conj() * item1).sum() / (item1.conj() * item1).sum()
|
||||
|
||||
self.dview[keyresult] = item
|
||||
|
||||
def remoteApplySrc(self, keyData, keySrc):
|
||||
|
||||
code = '%(keyData)s = %(keySrc)s * %(keyData)s'
|
||||
self.dview.execute(code%{'keyData': keyData, 'keySrc': keySrc})
|
||||
|
||||
# def normFromDifference(self, key):
|
||||
|
||||
# code = 'temp_norm%(key)s = (%(key)s * %(key)s.conj()).sum(0).sum(0)'
|
||||
# self.e0.execute(code%{'key': key})
|
||||
# code = 'temp_norm%(key)s = {key: np.sqrt(temp_norm%(key)s[key]).real for key in temp_norm%(key)s.keys()}'
|
||||
# self.e0.execute(code%{'key': key})
|
||||
# result = CommonReducer(self.e0['temp_norm%s'%(key,)])
|
||||
# self.e0.execute('del temp_norm%s'%(key,))
|
||||
|
||||
# return result
|
||||
|
||||
def normFromDifference(self, key):
|
||||
|
||||
code = 'temp_norm = (%(key)s * %(key)s.conj()).sum(0).sum(0)'
|
||||
self.e0.execute(code%{'key': key})
|
||||
code = 'temp_norm = {key: np.sqrt(temp_norm[key]).real for key in temp_norm}'
|
||||
self.e0.execute(code%{'key': key})
|
||||
result = CommonReducer(self.e0['temp_norm'])
|
||||
self.e0.execute('del temp_norm')
|
||||
|
||||
return result
|
||||
|
||||
@staticmethod
|
||||
@interactive
|
||||
def _reduceJob(worker, root, endpoint, key):
|
||||
|
||||
from ipyparallel.error import UnmetDependency
|
||||
if not rank == worker:
|
||||
raise UnmetDependency
|
||||
|
||||
# code = '%(endpoint)s.globalFields["%(key)s"] = comm.reduce(%(endpoint)s.localFields["%(key)s"], root=%(root)d)'
|
||||
# exec(code%{'endpoint': endpoint, 'key': key, 'root': root})
|
||||
|
||||
if key not in endpoint.localFields:
|
||||
endpoint.localFields[key] = endpoint.fieldspec[key]()
|
||||
|
||||
endpoint.globalFields[key] = comm.reduce(endpoint.localFields[key], root=root)
|
||||
|
||||
@staticmethod
|
||||
def _adjustMKLVectorization(nt=1):
|
||||
try:
|
||||
import mkl
|
||||
mkl.set_num_threads(nt)
|
||||
except ImportError:
|
||||
pass
|
||||
|
||||
@staticmethod
|
||||
def _cdSame(rc):
|
||||
import os
|
||||
|
||||
dview = rc[:]
|
||||
|
||||
home = os.getenv('HOME')
|
||||
cwd = os.getcwd()
|
||||
|
||||
@interactive
|
||||
def cdrel(relpath):
|
||||
import os
|
||||
home = os.getenv('HOME')
|
||||
fullpath = os.path.join(home, relpath)
|
||||
try:
|
||||
os.chdir(fullpath)
|
||||
except OSError:
|
||||
return False
|
||||
else:
|
||||
return True
|
||||
|
||||
if cwd.find(home) == 0:
|
||||
relpath = cwd[len(home)+1:]
|
||||
return all(rc[:].apply_sync(cdrel, relpath))
|
||||
+30
-2
@@ -22,6 +22,34 @@ class BaseProblem(object):
|
||||
|
||||
PropMap = None #: A SimPEG PropertyMap class.
|
||||
|
||||
# Pickleing support methods
|
||||
def __getstate__(self):
|
||||
'''
|
||||
Method that makes the dictionary of the object pickleble, removes non-pickleble elements of the object.
|
||||
|
||||
Used when doing:
|
||||
pickle.dump(pickleFile,object)
|
||||
'''
|
||||
odict = self.__dict__.copy()
|
||||
# Remove fields that are not needed
|
||||
del odict['hook']
|
||||
del odict['setKwargs']
|
||||
# Return the dict
|
||||
return odict
|
||||
|
||||
def __setstate__(self,odict):
|
||||
'''
|
||||
Function that sets a pickle dictionary in to an object.
|
||||
|
||||
Used when doing:
|
||||
object = pickle.load(pickleFile)
|
||||
'''
|
||||
# Update the dict
|
||||
self.__dict__.update(odict)
|
||||
# Re-hook the methods to the object
|
||||
Utils.codeutils.hook(self,Utils.codeutils.hook)
|
||||
Utils.codeutils.hook(self,Utils.codeutils.setKwargs)
|
||||
|
||||
@property
|
||||
def mapping(self):
|
||||
"A SimPEG.Map instance or a property map is PropMap is not None"
|
||||
@@ -32,8 +60,8 @@ class BaseProblem(object):
|
||||
val._assertMatchesPair(self.mapPair)
|
||||
self._mapping = val
|
||||
else:
|
||||
self._mapping = self.PropMap(val)
|
||||
|
||||
self._mapping = self.PropMap(val)
|
||||
|
||||
def __init__(self, mesh, mapping=None, **kwargs):
|
||||
Utils.setKwargs(self, **kwargs)
|
||||
assert isinstance(mesh, Mesh.BaseMesh), "mesh must be a SimPEG.Mesh object."
|
||||
|
||||
+77
-1
@@ -13,6 +13,34 @@ class Property(object):
|
||||
self.doc = doc
|
||||
Utils.setKwargs(self, **kwargs)
|
||||
|
||||
# Pickleing support methods
|
||||
def __getstate__(self):
|
||||
'''
|
||||
Method that makes the dictionary of the object pickleble, removes non-pickleble elements of the object.
|
||||
|
||||
Used when doing:
|
||||
pickle.dump(pickleFile,object)
|
||||
'''
|
||||
odict = self.__dict__.copy()
|
||||
# Remove fields that are not needed
|
||||
del odict['hook']
|
||||
del odict['setKwargs']
|
||||
# Return the dict
|
||||
return odict
|
||||
|
||||
def __setstate__(self,odict):
|
||||
'''
|
||||
Function that sets a pickle dictionary in to an object.
|
||||
|
||||
Used when doing:
|
||||
object = pickle.load(pickleFile)
|
||||
'''
|
||||
# Update the dict
|
||||
self.__dict__.update(odict)
|
||||
# Re-hook the methods to the object
|
||||
Utils.codeutils.hook(self,Utils.codeutils.hook)
|
||||
Utils.codeutils.hook(self,Utils.codeutils.setKwargs)
|
||||
|
||||
@property
|
||||
def propertyLink(self):
|
||||
"Can be something like: ('sigma', Maps.ReciprocalMap)"
|
||||
@@ -118,6 +146,36 @@ class PropModel(object):
|
||||
self.vector = vector
|
||||
assert len(self.vector) == self.nP
|
||||
|
||||
# Pickleing support methods
|
||||
# def __reduce__(self):
|
||||
# return (dict,{self.propMap,self.vector})
|
||||
|
||||
# def __getstate__(self):
|
||||
# '''
|
||||
# Method that makes the dictionary of the object pickleble, removes non-pickleble elements of the object.
|
||||
|
||||
# Used when doing:
|
||||
# pickle.dump(pickleFile,object)
|
||||
# '''
|
||||
# self.__class__ = ProbModel
|
||||
# odict = {}
|
||||
# odict['vec'] = self.__dict__['vector']
|
||||
# odict['pMap'] = self.__dict__['propMap']
|
||||
# # Return the dict
|
||||
# return odict
|
||||
|
||||
# def __setstate__(self,odict):
|
||||
# '''
|
||||
# Function that sets a pickle dictionary in to an object.
|
||||
|
||||
# Used when doing:
|
||||
# object = pickle.load(pickleFile)
|
||||
# '''
|
||||
# # Update the dict
|
||||
# # Re-hook the methods to the object
|
||||
# self.propMap = odict['prMap']
|
||||
# self.vector = odict['vec']
|
||||
|
||||
@property
|
||||
def nP(self):
|
||||
inds = []
|
||||
@@ -207,6 +265,24 @@ class PropMap(object):
|
||||
else:
|
||||
raise Exception('mappings must be a dict, a mapping, or a list of tuples.')
|
||||
|
||||
# Pickleing support methods
|
||||
def __getstate__(self):
|
||||
'''
|
||||
Method that makes the dictionary of the object pickleble, removes non-pickleble elements of the object.
|
||||
|
||||
Used when doing:
|
||||
pickle.dump(pickleFile,object)
|
||||
'''
|
||||
pass
|
||||
|
||||
def __setstate__(self,odict):
|
||||
'''
|
||||
Function that sets a pickle dictionary in to an object.
|
||||
|
||||
Used when doing:
|
||||
object = pickle.load(pickleFile)
|
||||
'''
|
||||
pass
|
||||
|
||||
def setup(self, maps, slices=None):
|
||||
"""
|
||||
@@ -239,7 +315,7 @@ class PropMap(object):
|
||||
setattr(self, '%sMap'%name, mapping)
|
||||
setattr(self, '%sIndex'%name, slices.get(name, slice(nP, nP + mapping.nP)))
|
||||
nP += mapping.nP
|
||||
self.nP = nP
|
||||
self.nP = nP
|
||||
|
||||
@property
|
||||
def defaultInvProp(self):
|
||||
|
||||
@@ -27,6 +27,34 @@ class BaseRegularization(object):
|
||||
self.mapping = mapping or Maps.IdentityMap(mesh)
|
||||
self.mapping._assertMatchesPair(self.mapPair)
|
||||
|
||||
# Pickleing support methods
|
||||
def __getstate__(self):
|
||||
'''
|
||||
Method that makes the dictionary of the object pickleble, removes non-pickleble elements of the object.
|
||||
|
||||
Used when doing:
|
||||
pickle.dump(pickleFile,object)
|
||||
'''
|
||||
odict = self.__dict__.copy()
|
||||
# Remove fields that are not needed
|
||||
del odict['hook']
|
||||
del odict['setKwargs']
|
||||
# Return the dict
|
||||
return odict
|
||||
|
||||
def __setstate__(self,odict):
|
||||
'''
|
||||
Function that sets a pickle dictionary in to an object.
|
||||
|
||||
Used when doing:
|
||||
object = pickle.load(pickleFile)
|
||||
'''
|
||||
# Update the dict
|
||||
self.__dict__.update(odict)
|
||||
# Re-hook the methods to the object
|
||||
Utils.codeutils.hook(self,Utils.codeutils.hook)
|
||||
Utils.codeutils.hook(self,Utils.codeutils.setKwargs)
|
||||
|
||||
@property
|
||||
def parent(self):
|
||||
"""This is the parent of the regularization."""
|
||||
@@ -311,7 +339,7 @@ class Tikhonov(BaseRegularization):
|
||||
if self.smoothModel == True:
|
||||
mD1 = self.mapping.deriv(m)
|
||||
mD2 = self.mapping.deriv(m - self.mref)
|
||||
r1 = self.Wsmooth * ( self.mapping * (m))
|
||||
r1 = self.Wsmooth * ( self.mapping * (m))
|
||||
r2 = self.Ws * ( self.mapping * (m - self.mref) )
|
||||
out1 = mD1.T * ( self.Wsmooth.T * r1 )
|
||||
out2 = mD2.T * ( self.Ws.T * r2 )
|
||||
|
||||
@@ -1,75 +0,0 @@
|
||||
<div id="%(uniqueID)s"></div>
|
||||
<style>
|
||||
.node {stroke: #fff; stroke-width: 1.5px;}
|
||||
.link {stroke: #999; stroke-opacity: .6;}
|
||||
</style>
|
||||
|
||||
<script>
|
||||
var True = true;
|
||||
var False = false;
|
||||
var graph = %(JSONData)s;
|
||||
|
||||
require.config({paths: {d3: "http://d3js.org/d3.v3.min"}});
|
||||
require(["d3"], function(d3) {
|
||||
|
||||
var width = 800, height = 450, radius = 8;
|
||||
|
||||
var color = d3.scale.category10();
|
||||
var domain = [0, 1, 2, 3];
|
||||
color.domain(domain);
|
||||
|
||||
var force = d3.layout.force()
|
||||
.charge(-120)
|
||||
.linkDistance(30)
|
||||
.size([width, height]);
|
||||
|
||||
var svg = d3.select("#%(uniqueID)s").select("svg");
|
||||
if (svg.empty()) {
|
||||
svg = d3.select("#%(uniqueID)s").append("svg")
|
||||
.attr("width", width)
|
||||
.attr("height", height);
|
||||
}
|
||||
|
||||
force.nodes(graph.nodes)
|
||||
.links(graph.links)
|
||||
.start();
|
||||
|
||||
var link = svg.selectAll(".link")
|
||||
.data(graph.links)
|
||||
.enter().append("line")
|
||||
.attr("class", "link");
|
||||
|
||||
var node = svg.selectAll(".node")
|
||||
.data(graph.nodes)
|
||||
.enter().append("circle")
|
||||
.attr("class", "node")
|
||||
.attr("r", radius)
|
||||
.style("fill", function(d) {
|
||||
return color(d.status);
|
||||
})
|
||||
|
||||
.call(force.drag);
|
||||
|
||||
node.append("title")
|
||||
.text(function(d) { return d.id; });
|
||||
|
||||
node.on("dblclick", function() {
|
||||
n = d3.select(this);
|
||||
name = n.text();
|
||||
graph = IPython.notebook.get_selected_cell().get_text();
|
||||
cell = IPython.notebook.insert_cell_below();
|
||||
cell.set_text(graph + ".node['" + name + "'].get('jobs', [])");
|
||||
})
|
||||
|
||||
force.on("tick", function() {
|
||||
link.attr("x1", function(d) { return d.source.x; })
|
||||
.attr("y1", function(d) { return d.source.y; })
|
||||
.attr("x2", function(d) { return d.target.x; })
|
||||
.attr("y2", function(d) { return d.target.y; });
|
||||
|
||||
node.attr("cx", function(d) { return d.x; })
|
||||
.attr("cy", function(d) { return d.y; });
|
||||
});
|
||||
|
||||
});
|
||||
</script>
|
||||
+104
-1
@@ -19,6 +19,35 @@ class BaseRx(object):
|
||||
self._Ps = {}
|
||||
Utils.setKwargs(self, **kwargs)
|
||||
|
||||
# Pickleing support methods
|
||||
def __getstate__(self):
|
||||
'''
|
||||
Method that makes the dictionary of the object pickleble, removes non-pickleble elements of the object.
|
||||
|
||||
Used when doing:
|
||||
pickle.dump(pickleFile,object)
|
||||
'''
|
||||
odict = self.__dict__.copy()
|
||||
# Remove fields that are not needed
|
||||
del odict['hook']
|
||||
del odict['setKwargs']
|
||||
# Return the dict
|
||||
return odict
|
||||
|
||||
def __setstate__(self,odict):
|
||||
'''
|
||||
Function that sets a pickle dictionary in to an object.
|
||||
|
||||
Used when doing:
|
||||
object = pickle.load(pickleFile)
|
||||
'''
|
||||
# Update the dict
|
||||
self.__dict__.update(odict)
|
||||
# Re-hook the methods to the object
|
||||
Utils.codeutils.hook(self,Utils.codeutils.hook)
|
||||
Utils.codeutils.hook(self,Utils.codeutils.setKwargs)
|
||||
|
||||
|
||||
@property
|
||||
def rxType(self):
|
||||
"""Receiver Type"""
|
||||
@@ -129,6 +158,33 @@ class BaseSrc(object):
|
||||
self.rxList = rxList
|
||||
Utils.setKwargs(self, **kwargs)
|
||||
|
||||
# Pickleing support methods
|
||||
def __getstate__(self):
|
||||
'''
|
||||
Method that makes the dictionary of the object pickleble, removes non-pickleble elements of the object.
|
||||
|
||||
Used when doing:
|
||||
pickle.dump(pickleFile,object)
|
||||
'''
|
||||
odict = self.__dict__.copy()
|
||||
# Remove fields that are not needed
|
||||
del odict['hook']
|
||||
del odict['setKwargs']
|
||||
# Return the dict
|
||||
return odict
|
||||
|
||||
def __setstate__(self,odict):
|
||||
'''
|
||||
Function that sets a pickle dictionary in to an object.
|
||||
|
||||
Used when doing:
|
||||
object = pickle.load(pickleFile)
|
||||
'''
|
||||
# Update the dict
|
||||
self.__dict__.update(odict)
|
||||
# Re-hook the methods to the object
|
||||
Utils.codeutils.hook(self,Utils.codeutils.hook)
|
||||
Utils.codeutils.hook(self,Utils.codeutils.setKwargs)
|
||||
|
||||
@property
|
||||
def nD(self):
|
||||
@@ -153,6 +209,25 @@ class Data(object):
|
||||
if v is not None:
|
||||
self.fromvec(v)
|
||||
|
||||
# Pickleing support methods
|
||||
def __getstate__(self):
|
||||
'''
|
||||
Method that makes the dictionary of the object pickleble, removes non-pickleble elements of the object.
|
||||
|
||||
Used when doing:
|
||||
pickle.dump(pickleFile,object)
|
||||
'''
|
||||
pass
|
||||
|
||||
def __setstate__(self,odict):
|
||||
'''
|
||||
Function that sets a pickle dictionary in to an object.
|
||||
|
||||
Used when doing:
|
||||
object = pickle.load(pickleFile)
|
||||
'''
|
||||
pass
|
||||
|
||||
def _ensureCorrectKey(self, key):
|
||||
if type(key) is tuple:
|
||||
if len(key) is not 2:
|
||||
@@ -210,11 +285,39 @@ class BaseSurvey(object):
|
||||
mtrue = None #: True model, if data is synthetic
|
||||
|
||||
counter = None #: A SimPEG.Utils.Counter object
|
||||
srcPair = BaseSrc #: Source Pair
|
||||
|
||||
def __init__(self, **kwargs):
|
||||
Utils.setKwargs(self, **kwargs)
|
||||
|
||||
srcPair = BaseSrc #: Source Pair
|
||||
# Pickleing support methods
|
||||
def __getstate__(self):
|
||||
'''
|
||||
Method that makes the dictionary of the object pickleble, removes non-pickleble elements of the object.
|
||||
|
||||
Used when doing:
|
||||
pickle.dump(pickleFile,object)
|
||||
'''
|
||||
odict = self.__dict__.copy()
|
||||
# Remove fields that are not needed
|
||||
del odict['hook']
|
||||
del odict['setKwargs']
|
||||
# Return the dict
|
||||
return odict
|
||||
|
||||
def __setstate__(self,odict):
|
||||
'''
|
||||
Function that sets a pickle dictionary in to an object.
|
||||
|
||||
Used when doing:
|
||||
object = pickle.load(pickleFile)
|
||||
'''
|
||||
# Update the dict
|
||||
self.__dict__.update(odict)
|
||||
# Re-hook the methods to the object
|
||||
Utils.codeutils.hook(self,Utils.codeutils.hook)
|
||||
Utils.codeutils.hook(self,Utils.codeutils.setKwargs)
|
||||
|
||||
|
||||
@property
|
||||
def srcList(self):
|
||||
|
||||
@@ -1,91 +0,0 @@
|
||||
|
||||
class CommonReducer(dict):
|
||||
'''
|
||||
Object based on 'dict' that implements the binary addition (obj1 + obj1) and
|
||||
accumulation (obj += obj2). These operations pass through to the entries in
|
||||
the commonReducer.
|
||||
|
||||
Instances of commonReducer are also callable, with the syntax:
|
||||
cr(key, value)
|
||||
this is equivalent to cr += {key: value}.
|
||||
'''
|
||||
|
||||
DISALLOWED = ['__getinitargs__', '__getnewargs__', '__getstate__', '__setstate__']
|
||||
|
||||
def __init__(self, *args, **kwargs):
|
||||
dict.__init__(self, *args, **kwargs)
|
||||
|
||||
def __add__(self, other):
|
||||
result = CommonReducer(self)
|
||||
for key in other.keys():
|
||||
if key in result:
|
||||
result[key] = self[key] + other[key]
|
||||
else:
|
||||
result[key] = other[key]
|
||||
|
||||
return result
|
||||
|
||||
def __iadd__(self, other):
|
||||
for key in other.keys():
|
||||
if key in self:
|
||||
self[key] += other[key]
|
||||
else:
|
||||
self[key] = other[key]
|
||||
|
||||
return self
|
||||
|
||||
def __mul__(self, other):
|
||||
result = CommonReducer()
|
||||
for key in other.keys():
|
||||
if key in self:
|
||||
result[key] = self[key] * other[key]
|
||||
|
||||
return result
|
||||
|
||||
def __sub__(self, other):
|
||||
result = CommonReducer()
|
||||
for key in other.keys():
|
||||
if key in self:
|
||||
result[key] = self[key] - other[key]
|
||||
|
||||
return result
|
||||
|
||||
def __div__(self, other):
|
||||
result = CommonReducer()
|
||||
for key in other.keys():
|
||||
if key in self:
|
||||
result[key] = self[key] / other[key]
|
||||
|
||||
return result
|
||||
|
||||
def __getattr__(self, attr):
|
||||
|
||||
if not attr in self.DISALLOWED and all((getattr(self[key], attr, None) is not None for key in self)):
|
||||
|
||||
if any((callable(getattr(self[key], attr)) for key in self)):
|
||||
|
||||
def wrapperFunction(*args, **kwargs):
|
||||
|
||||
innerresult = CommonReducer({key: getattr(self[key], attr, None)(*args, **kwargs) for key in self})
|
||||
|
||||
if not all((innerresult[key] is None for key in innerresult)):
|
||||
return innerresult
|
||||
|
||||
result = wrapperFunction
|
||||
|
||||
else:
|
||||
return CommonReducer({key: getattr(self[key], attr) for key in self})
|
||||
else:
|
||||
raise AttributeError('\'CommonReducer\' object has no attribute \'%s\', and it could not be satisfied through cascade lookup'%attr)
|
||||
|
||||
return result
|
||||
|
||||
def copy(self):
|
||||
|
||||
return CommonReducer(self)
|
||||
|
||||
def __call__(self, key, result):
|
||||
if key in self:
|
||||
self[key] += result
|
||||
else:
|
||||
self[key] = result
|
||||
@@ -170,16 +170,58 @@ def scalarConductivity(ccMesh,pFunction):
|
||||
|
||||
return mkvc(sigma)
|
||||
|
||||
def layeredModel(ccMesh, layerTops, layerValues):
|
||||
"""
|
||||
Define a layered model from layerTops (z-positive up)
|
||||
|
||||
:param numpy.array ccMesh: cell-centered mesh
|
||||
:param numpy.array layerTops: z-locations of the tops of each layer
|
||||
:param numpy.array layerValue: values of the property to assign for each layer (starting at the top)
|
||||
:rtype: numpy.array
|
||||
:return: M, layered model on the mesh
|
||||
"""
|
||||
|
||||
descending = np.linalg.norm(sorted(layerTops, reverse=True) - layerTops) < 1e-20
|
||||
|
||||
# TODO: put an error check to make sure that there is an ordering... needs to work with inf elts
|
||||
# assert ascending or descending, "Layers must be listed in either ascending or descending order"
|
||||
|
||||
# start from bottom up
|
||||
if not descending:
|
||||
zprop = np.hstack([mkvc(layerTops,2),mkvc(layerValues,2)])
|
||||
zprop.sort(axis=0)
|
||||
layerTops, layerValues = zprop[::-1,0], zprop[::-1,1]
|
||||
|
||||
# put in vector form
|
||||
layerTops, layerValues = mkvc(layerTops), mkvc(layerValues)
|
||||
|
||||
# initialize with bottom layer
|
||||
dim = ccMesh.shape[1]
|
||||
if dim == 3:
|
||||
z = ccMesh[:,2]
|
||||
elif dim == 2:
|
||||
z = ccMesh[:,1]
|
||||
elif dim == 1:
|
||||
z = ccMesh[:,0]
|
||||
|
||||
model = np.zeros(ccMesh.shape[0])
|
||||
|
||||
for i, top in enumerate(layerTops):
|
||||
zind = z <= top
|
||||
model[zind] = layerValues[i]
|
||||
|
||||
return model
|
||||
|
||||
|
||||
|
||||
def randomModel(shape, seed=None, anisotropy=None, its=100, bounds=[0,1]):
|
||||
"""
|
||||
Create a random model by convolving a kernal with a
|
||||
Create a random model by convolving a kernel with a
|
||||
uniformly distributed model.
|
||||
|
||||
:param int,tuple shape: shape of the model.
|
||||
:param int seed: pick which model to produce, prints the seed if you don't choose.
|
||||
:param numpy.ndarray,list anisotropy: this is the (3 x n) blurring kernal that is used.
|
||||
:param numpy.ndarray,list anisotropy: this is the (3 x n) blurring kernel that is used.
|
||||
:param int its: number of smoothing iterations
|
||||
:param list bounds: bounds on the model, len(list) == 2
|
||||
:rtype: numpy.ndarray
|
||||
|
||||
@@ -5,7 +5,6 @@ from curvutils import volTetra, faceInfo, indexCube
|
||||
from interputils import interpmat
|
||||
from ipythonutils import easyAnimate as animate
|
||||
from CounterUtils import *
|
||||
from DataWrappers import *
|
||||
import ModelBuilder
|
||||
import SolverUtils
|
||||
|
||||
|
||||
+46
-44
@@ -149,7 +149,7 @@ def readUBCTensorModel(fileName, mesh):
|
||||
|
||||
Input:
|
||||
:param fileName, path to the UBC GIF mesh file to read
|
||||
:param mesh, TensorMesh object, mesh that coresponds to the model
|
||||
:param mesh, TensorMesh object, mesh that coresponds to the model
|
||||
|
||||
Output:
|
||||
:return numpy array, model with TensorMesh ordered
|
||||
@@ -170,7 +170,7 @@ def writeUBCTensorMesh(fileName, mesh):
|
||||
|
||||
:param str fileName: File to write to
|
||||
:param simpeg.Mesh.TensorMesh mesh: The mesh
|
||||
|
||||
|
||||
"""
|
||||
assert mesh.dim == 3
|
||||
s = ''
|
||||
@@ -205,7 +205,6 @@ def writeUBCTensorModel(fileName, mesh, model):
|
||||
|
||||
np.savetxt(fileName, modelMatTR.ravel())
|
||||
|
||||
|
||||
def readVTRFile(fileName):
|
||||
"""
|
||||
Read VTK Rectilinear (vtr xml file) and return SimPEG Tensor mesh and model
|
||||
@@ -216,7 +215,7 @@ def readVTRFile(fileName):
|
||||
Output:
|
||||
:return SimPEG TensorMesh object
|
||||
:return SimPEG model dictionary
|
||||
|
||||
|
||||
"""
|
||||
# Import
|
||||
from vtk import vtkXMLRectilinearGridReader as vtrFileReader
|
||||
@@ -296,84 +295,87 @@ def writeVTRFile(fileName,mesh,model=None):
|
||||
vtkObj.SetZCoordinates(numpy_to_vtk(vZ,deep=1))
|
||||
|
||||
# Assign the model('s) to the object
|
||||
for item in model.iteritems():
|
||||
# Convert numpy array
|
||||
vtkDoubleArr = numpy_to_vtk(item[1],deep=1)
|
||||
vtkDoubleArr.SetName(item[0])
|
||||
vtkObj.GetCellData().AddArray(vtkDoubleArr)
|
||||
# Set the active scalar
|
||||
vtkObj.GetCellData().SetActiveScalars(model.keys()[0])
|
||||
vtkObj.Update()
|
||||
if model is not None:
|
||||
for item in model.iteritems():
|
||||
# Convert numpy array
|
||||
vtkDoubleArr = numpy_to_vtk(item[1],deep=1)
|
||||
vtkDoubleArr.SetName(item[0])
|
||||
vtkObj.GetCellData().AddArray(vtkDoubleArr)
|
||||
# Set the active scalar
|
||||
vtkObj.GetCellData().SetActiveScalars(model.keys()[0])
|
||||
|
||||
|
||||
# Check the extension of the fileName
|
||||
ext = os.path.splitext(fileName)[1]
|
||||
if ext is '':
|
||||
fileName = fileName + '.vtr'
|
||||
elif ext not in '.vtr':
|
||||
raise IOError('{:s} is an incorrect extension, has to be .vtr')
|
||||
# Write the file.
|
||||
vtrWriteFilter = rectWriter()
|
||||
vtrWriteFilter.SetInput(vtkObj)
|
||||
vtrWriteFilter.SetFileName(fileName)
|
||||
vtrWriteFilter.Update()
|
||||
if fileName is not None:
|
||||
ext = os.path.splitext(fileName)[1]
|
||||
if ext is '':
|
||||
fileName = fileName + '.vtr'
|
||||
elif ext not in '.vtr':
|
||||
raise IOError('{:s} is an incorrect extension, has to be .vtr')
|
||||
# Write the file.
|
||||
|
||||
vtrWriteFilter = rectWriter()
|
||||
vtrWriteFilter.SetInputData(vtkObj)
|
||||
vtrWriteFilter.SetFileName(fileName)
|
||||
vtrWriteFilter.Update()
|
||||
else:
|
||||
return vtkObj
|
||||
|
||||
def ExtractCoreMesh(xyzlim, mesh, meshType='tensor'):
|
||||
"""
|
||||
Extracts Core Mesh from Global mesh
|
||||
xyzlim: 2D array [ndim x 2]
|
||||
mesh: SimPEG mesh
|
||||
This function ouputs:
|
||||
This function ouputs:
|
||||
- actind: corresponding boolean index from global to core
|
||||
- meshcore: core SimPEG mesh
|
||||
- meshcore: core SimPEG mesh
|
||||
Warning: 1D and 2D has not been tested
|
||||
"""
|
||||
from SimPEG import Mesh
|
||||
if mesh.dim ==1:
|
||||
xyzlim = xyzlim.flatten()
|
||||
xmin, xmax = xyzlim[0], xyzlim[1]
|
||||
|
||||
xind = np.logical_and(mesh.vectorCCx>xmin, mesh.vectorCCx<xmax)
|
||||
|
||||
|
||||
xind = np.logical_and(mesh.vectorCCx>xmin, mesh.vectorCCx<xmax)
|
||||
|
||||
xc = mesh.vectorCCx[xind]
|
||||
|
||||
hx = mesh.hx[xind]
|
||||
|
||||
|
||||
x0 = [xc[0]-hx[0]*0.5, yc[0]-hy[0]*0.5]
|
||||
|
||||
|
||||
meshCore = Mesh.TensorMesh([hx, hy] ,x0=x0)
|
||||
|
||||
|
||||
actind = (mesh.gridCC[:,0]>xmin) & (mesh.gridCC[:,0]<xmax)
|
||||
|
||||
|
||||
elif mesh.dim ==2:
|
||||
xmin, xmax = xyzlim[0,0], xyzlim[0,1]
|
||||
ymin, ymax = xyzlim[1,0], xyzlim[1,1]
|
||||
|
||||
yind = np.logical_and(mesh.vectorCCy>ymin, mesh.vectorCCy<ymax)
|
||||
zind = np.logical_and(mesh.vectorCCz>zmin, mesh.vectorCCz<zmax)
|
||||
zind = np.logical_and(mesh.vectorCCz>zmin, mesh.vectorCCz<zmax)
|
||||
|
||||
xc = mesh.vectorCCx[xind]
|
||||
yc = mesh.vectorCCy[yind]
|
||||
|
||||
hx = mesh.hx[xind]
|
||||
hy = mesh.hy[yind]
|
||||
|
||||
|
||||
x0 = [xc[0]-hx[0]*0.5, yc[0]-hy[0]*0.5]
|
||||
|
||||
|
||||
meshCore = Mesh.TensorMesh([hx, hy] ,x0=x0)
|
||||
|
||||
|
||||
actind = (mesh.gridCC[:,0]>xmin) & (mesh.gridCC[:,0]<xmax) \
|
||||
& (mesh.gridCC[:,1]>ymin) & (mesh.gridCC[:,1]<ymax) \
|
||||
|
||||
|
||||
elif mesh.dim==3:
|
||||
xmin, xmax = xyzlim[0,0], xyzlim[0,1]
|
||||
ymin, ymax = xyzlim[1,0], xyzlim[1,1]
|
||||
zmin, zmax = xyzlim[2,0], xyzlim[2,1]
|
||||
|
||||
|
||||
xind = np.logical_and(mesh.vectorCCx>xmin, mesh.vectorCCx<xmax)
|
||||
yind = np.logical_and(mesh.vectorCCy>ymin, mesh.vectorCCy<ymax)
|
||||
zind = np.logical_and(mesh.vectorCCz>zmin, mesh.vectorCCz<zmax)
|
||||
zind = np.logical_and(mesh.vectorCCz>zmin, mesh.vectorCCz<zmax)
|
||||
|
||||
xc = mesh.vectorCCx[xind]
|
||||
yc = mesh.vectorCCy[yind]
|
||||
@@ -382,19 +384,19 @@ def ExtractCoreMesh(xyzlim, mesh, meshType='tensor'):
|
||||
hx = mesh.hx[xind]
|
||||
hy = mesh.hy[yind]
|
||||
hz = mesh.hz[zind]
|
||||
|
||||
|
||||
x0 = [xc[0]-hx[0]*0.5, yc[0]-hy[0]*0.5, zc[0]-hz[0]*0.5]
|
||||
|
||||
|
||||
meshCore = Mesh.TensorMesh([hx, hy, hz] ,x0=x0)
|
||||
|
||||
|
||||
actind = (mesh.gridCC[:,0]>xmin) & (mesh.gridCC[:,0]<xmax) \
|
||||
& (mesh.gridCC[:,1]>ymin) & (mesh.gridCC[:,1]<ymax) \
|
||||
& (mesh.gridCC[:,2]>zmin) & (mesh.gridCC[:,2]<zmax)
|
||||
|
||||
|
||||
else:
|
||||
raise(Exception("Not implemented!"))
|
||||
|
||||
|
||||
|
||||
|
||||
return actind, meshCore
|
||||
|
||||
|
||||
|
||||
@@ -13,7 +13,6 @@ import InvProblem
|
||||
import Optimization
|
||||
import Directives
|
||||
import Inversion
|
||||
import Parallel
|
||||
import Tests
|
||||
|
||||
__version__ = '0.1.3'
|
||||
|
||||
Reference in New Issue
Block a user