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pair data-problem
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+29
-5
@@ -1,5 +1,6 @@
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from SimPEG import Utils, np, sp, Data
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norm = np.linalg.norm
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import Utils, Data
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import scipy.sparse as sp
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import numpy as np
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class BaseProblem(object):
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@@ -41,12 +42,35 @@ class BaseProblem(object):
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dataPair = Data.BaseData
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def __init__(self, mesh, model, *args, **kwargs):
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Utils.setKwargs(self, **kwargs)
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self.mesh = mesh
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self.model = model
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@property
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def data(self):
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"""
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The data object for this problem. Data
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"""
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return getattr(self, '_data', None)
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def pair(self, d):
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"""Bind a data to this problem instance using pointers."""
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assert isinstance(d, self.dataPair), "Data object must be an instance of a %s class."%(self.dataPair.__name__)
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if d.ispaired:
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raise Exception("The data object is already paired to a problem. Use data.unpair()")
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self._data = d
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d._prob = self
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def unpair(self):
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"""Unbind a data from this problem instance."""
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if not self.ispaired: return
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self.data._prob = None
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self._data = None
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@property
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def ispaired(self): return self.data is not None
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@Utils.timeIt
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def J(self, m, v, u=None):
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"""
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@@ -143,8 +167,8 @@ class BaseProblem(object):
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and Wd which is the same size as data, and can be used to weight the inversion.
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"""
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data = self.dataPair(mtrue=m, **geometry_kwargs)
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data.setProblem(self)
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data.dtrue = self.data.dpred(m,u=u)
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data.pair(self)
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data.dtrue = data.dpred(m, u=u)
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noise = std*abs(data.dtrue)*np.random.randn(*data.dtrue.shape)
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data.dobs = data.dtrue+noise
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data.std = data.dobs*0 + std
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