mirror of
https://github.com/triqs/dft_tools
synced 2024-11-01 11:43:47 +01:00
83 lines
3.0 KiB
Python
83 lines
3.0 KiB
Python
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from types import SliceType
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import descriptors
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class LazyCTX:
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def __init__ (self, G):
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self.G = G
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def _is_compatible_for_ops(self, g):
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m1,m2 = self.G.mesh, g.mesh
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return m1 is m2 or m1 == m2
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def __eq__ (self, y):
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return isinstance(y, self.__class__) and self._is_compatible_for_ops(y.G)
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def __call__ (self, x):
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if not isinstance(x, descriptors.Base): return x
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tmp = self.G.copy()
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x(tmp)
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return tmp
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class IndicesConverter:
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def __init__(self, indices):
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if indices == None: # none is a trivial converter
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self.indices=None
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return
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try:
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self.indices = list(indices)[:] # make a copy
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except:
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raise RuntimeError, "Indices must be a list or transformable into a list %s"(indices,)
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assert len(set(repr(x) for x in self.indices)) == len(self.indices), "Error: indices are not unique !!!"
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assert self.indices != [], "Error: indices are empty!!!"
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try:
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# a continuous list of ordered integers
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self.__indices_are_sliceable = (self.indices== range(min(self.indices),max(self.indices)+1))
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self.__indexmin = min(self.indices)
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self.__indexmax = max(self.indices)
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#self.__indexlen = self.__indexmax - self.__indexmin +1
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except:
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self.__indices_are_sliceable =False
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self.Length = len(self.indices)
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def convertToNumpyIndex(self,a,noslice=False):
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"""
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Transcription of one Python index/slice into the index/slice of the numpy
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"""
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if self.indices==None:
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if type(a)==SliceType: return a
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return a if noslice else slice(a,a+1,1)
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if type(a)==SliceType:
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if not self.__indices_are_sliceable: raise IndexError, "Indices %s can't be sliced"%self.indices
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# put the slice to start at 0, and clip it
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sta,sto,ste = slice(a.start, a.stop , a.step).indices(self.__indexmax+1)
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return slice( max(0,sta-self.__indexmin), sto - self.__indexmin, ste)
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try:
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s1 = self.indices.index(a)
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except:
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raise IndexError, "Index %s out of range %s"%(a,self.indices)
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return s1 if noslice else slice(s1,s1+1,1)
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def get_indices_in_dict( d):
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# exclusive: size = (n1,n2) or IndicesL/R
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if 'indices_pack' in d:
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indicesL, indicesR = d.pop('indices_pack')
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else:
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indicesL = list ( d.pop('indicesL',()) or d.pop('indices',()) )
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indicesR = list ( d.pop('indicesR',()) or indicesL )
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# Now check the indices
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ty = set([type(x) for x in indicesL]+[type(x) for x in indicesR])
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assert len(ty) !=0, "No indices found !"
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assert len(ty)==1, " All indices must have the same type %s"%ty
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# If the indices are not string, make them string anyway
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indicesL = [ str(x) for x in indicesL ]
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indicesR = [ str(x) for x in indicesR ]
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return indicesL, indicesR
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def py_deserialize( cls, s):
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return cls(boost_serialization_string = s)
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