import copy import numpy as np from pytriqs.gf import GfImFreq, BlockGf from ast import literal_eval from warnings import warn class BlockStructure(object): """ Contains information about the Green function structure. This class contains information about the structure of the solver and sumk Green functions and the mapping between them. Parameters ---------- gf_struct_sumk : list of list of tuple gf_struct_sumk[ish][idx] = (block_name,list of indices in block) for correlated shell ish; idx is just a counter in the list gf_struct_solver : list of dict gf_struct_solver[ish][block] = list of indices in that block for *inequivalent* correlated shell ish solver_to_sumk : list of dict solver_to_sumk[ish][(from_block,from_idx)] = (to_block,to_idx) maps from the solver block and index to the sumk block and index for *inequivalent* correlated shell ish sumk_to_solver : list of dict sumk_to_solver[ish][(from_block,from_idx)] = (to_block,to_idx) maps from the sumk block and index to the solver block and index for *inequivalent* correlated shell ish solver_to_sumk_block : list of dict solver_to_sumk_block[ish][from_block] = to_block maps from the solver block to the sumk block for *inequivalent* correlated shell ish """ def __init__(self,gf_struct_sumk=None, gf_struct_solver=None, solver_to_sumk=None, sumk_to_solver=None, solver_to_sumk_block=None): self.gf_struct_sumk = gf_struct_sumk self.gf_struct_solver = gf_struct_solver self.solver_to_sumk = solver_to_sumk self.sumk_to_solver = sumk_to_solver self.solver_to_sumk_block = solver_to_sumk_block @classmethod def full_structure(cls,gf_struct,corr_to_inequiv): """ Construct structure that maps to itself. This has the same structure for sumk and solver, and the mapping solver_to_sumk and sumk_to_solver is one-to-one. Parameters ---------- gf_struct : list of dict gf_struct[ish][block] = list of indices in that block for (inequivalent) correlated shell ish corr_to_inequiv : list gives the mapping from correlated shell csh to inequivalent correlated shell icsh, so that corr_to_inequiv[csh]=icsh e.g. SumkDFT.corr_to_inequiv if None, each inequivalent correlated shell is supposed to be correspond to just one correlated shell with the same index; there is not default, None has to be set explicitly! """ solver_to_sumk = [] s2sblock = [] gs_sumk = [] for ish in range(len(gf_struct)): so2su = {} so2sublock = {} gss = [] for block in gf_struct[ish]: so2sublock[block]=block for ind in gf_struct[ish][block]: so2su[(block,ind)]=(block,ind) gss.append((block,gf_struct[ish][block])) solver_to_sumk.append(so2su) s2sblock.append(so2sublock) gs_sumk.append(gss) # gf_struct_sumk is not given for each inequivalent correlated # shell, but for every correlated shell! if corr_to_inequiv is not None: gs_sumk_all = [None]*len(corr_to_inequiv) for i in range(len(corr_to_inequiv)): gs_sumk_all[i] = gs_sumk[corr_to_inequiv[i]] else: gs_sumk_all = gs_sumk return cls(gf_struct_solver=copy.deepcopy(gf_struct), gf_struct_sumk = gs_sumk_all, solver_to_sumk = copy.deepcopy(solver_to_sumk), sumk_to_solver = solver_to_sumk, solver_to_sumk_block = s2sblock) def pick_gf_struct_solver(self,new_gf_struct): """ Pick selected orbitals within blocks. This throws away parts of the Green's function that (for some reason - be sure that you know what you're doing) shouldn't be included in the calculation. To drop an entire block, just don't include it. To drop a certain index within a block, just don't include it. If it was before: [{'up':[0,1],'down':[0,1],'left':[0,1]}] to choose the 0th index of the up block and the 1st index of the down block and drop the left block, the new_gf_struct would have to be [{'up':[0],'down':[1]}] Note that the indices will be renamed to be a 0-based sequence of integers, i.e. the new structure will actually be [{'up':[0],'down':[0]}]. For dropped indices, sumk_to_solver will map to (None,None). Parameters ---------- new_gf_struct : list of dict formatted the same as gf_struct_solver: new_gf_struct[ish][block]=list of indices in that block. """ for ish in range(len(self.gf_struct_solver)): gf_struct = new_gf_struct[ish] # create new solver_to_sumk so2su={} so2su_block = {} for blk,idxs in gf_struct.items(): for i in range(len(idxs)): so2su[(blk,i)]=self.solver_to_sumk[ish][(blk,idxs[i])] so2su_block[blk]=so2su[(blk,i)][0] self.solver_to_sumk[ish] = so2su self.solver_to_sumk_block[ish] = so2su_block # create new sumk_to_solver for k,v in self.sumk_to_solver[ish].items(): blk,ind=v if blk in gf_struct and ind in gf_struct[blk]: new_ind = gf_struct[blk].index(ind) self.sumk_to_solver[ish][k]=(blk,new_ind) else: self.sumk_to_solver[ish][k]=(None,None) # reindexing gf_struct so that it starts with 0 for k in gf_struct: gf_struct[k]=range(len(gf_struct[k])) self.gf_struct_solver[ish]=gf_struct def pick_gf_struct_sumk(self,new_gf_struct): """ Pick selected orbitals within blocks. This throws away parts of the Green's function that (for some reason - be sure that you know what you're doing) shouldn't be included in the calculation. To drop an entire block, just don't include it. To drop a certain index within a block, just don't include it. If it was before: [{'up':[0,1],'down':[0,1],'left':[0,1]}] to choose the 0th index of the up block and the 1st index of the down block and drop the left block, the new_gf_struct would have to be [{'up':[0],'down':[1]}] Note that the indices will be renamed to be a 0-based sequence of integers. For dropped indices, sumk_to_solver will map to (None,None). Parameters ---------- new_gf_struct : list of dict formatted the same as gf_struct_solver: new_gf_struct[ish][block]=list of indices in that block. However, the indices are not according to the solver Gf but the sumk Gf. """ gfs = [] # construct gfs, which is the equivalent of new_gf_struct # but according to the solver Gf, by using the sumk_to_solver # mapping for ish in range(len(new_gf_struct)): gfs.append({}) for block in new_gf_struct[ish].keys(): for ind in new_gf_struct[ish][block]: ind_sol = self.sumk_to_solver[ish][(block,ind)] if not ind_sol[0] in gfs[ish]: gfs[ish][ind_sol[0]]=[] gfs[ish][ind_sol[0]].append(ind_sol[1]) self.pick_gf_struct_solver(gfs) def map_gf_struct_solver(self,mapping): """ Map the Green function structure from one struct to another. Parameters ---------- mapping : list of dict the dict consists of elements (from_block,from_index) : (to_block,to_index) that maps from one structure to the other """ for ish in range(len(mapping)): gf_struct = {} so2su = {} su2so = {} so2su_block = {} for frm,to in mapping[ish].iteritems(): if not to[0] in gf_struct: gf_struct[to[0]]=[] gf_struct[to[0]].append(to[1]) so2su[to]=self.solver_to_sumk[ish][frm] su2so[self.solver_to_sumk[ish][frm]]=to if to[0] in so2su_block: if so2su_block[to[0]] != \ self.solver_to_sumk_block[ish][frm[0]]: warn("solver block '{}' maps to more than one sumk block: '{}', '{}'".format( to[0],so2su_block[to[0]],self.solver_to_sumk_block[ish][frm[0]])) else: so2su_block[to[0]]=\ self.solver_to_sumk_block[ish][frm[0]] for k in self.sumk_to_solver[ish].keys(): if not k in su2so: su2so[k] = (None,None) self.gf_struct_solver[ish]=gf_struct self.solver_to_sumk[ish]=so2su self.sumk_to_solver[ish]=su2so self.solver_to_sumk_block[ish]=so2su_block def create_gf(self,ish=0,gf_function=GfImFreq,**kwargs): """ Create a zero BlockGf having the gf_struct_solver structure. When using GfImFreq as gf_function, typically you have to supply beta as keyword argument. Parameters ---------- ish : int shell index gf_function : constructor function used to construct the Gf objects constituting the individual blocks; default: GfImFreq **kwargs : options passed on to the Gf constructor for the individual blocks """ names = self.gf_struct_solver[ish].keys() blocks=[] for n in names: G = gf_function(indices=self.gf_struct_solver[ish][n],**kwargs) blocks.append(G) G = BlockGf(name_list = names, block_list = blocks) return G def convert_gf(self,G,G_struct,ish=0,show_warnings=True,**kwargs): """ Convert BlockGf from its structure to this structure. .. warning:: Elements that are zero in the new structure due to the new block structure will be just ignored, thus approximated to zero. Parameters ---------- G : BlockGf the Gf that should be converted G_struct : GfStructure the structure ofthat G ish : int shell index show_warnings : bool whether to show warnings when elements of the Green's function get thrown away **kwargs : options passed to the constructor for the new Gf """ G_new = self.create_gf(ish=ish,**kwargs) for block in G_struct.gf_struct_solver[ish].keys(): for i1 in G_struct.gf_struct_solver[ish][block]: for i2 in G_struct.gf_struct_solver[ish][block]: i1_sumk = G_struct.solver_to_sumk[ish][(block,i1)] i2_sumk = G_struct.solver_to_sumk[ish][(block,i2)] i1_sol = self.sumk_to_solver[ish][i1_sumk] i2_sol = self.sumk_to_solver[ish][i2_sumk] if i1_sol[0] is None or i2_sol[0] is None: if show_warnings: warn(('Element {},{} of block {} of G is not present '+ 'in the new structure').format(i1,i2,block)) continue if i1_sol[0]!=i2_sol[0]: if show_warnings: warn(('Element {},{} of block {} of G is approximated '+ 'to zero to match the new structure.').format( i1,i2,block)) continue G_new[i1_sol[0]][i1_sol[1],i2_sol[1]] = \ G[block][i1,i2] return G_new def approximate_as_diagonal(self): """ Create a structure for a GF with zero off-diagonal elements. .. warning:: In general, this will throw away non-zero elements of the Green's function. Be sure to verify whether this approximation is justified. """ self.gf_struct_solver=[] self.solver_to_sumk=[] self.solver_to_sumk_block=[] for ish in range(len(self.sumk_to_solver)): self.gf_struct_solver.append({}) self.solver_to_sumk.append({}) self.solver_to_sumk_block.append({}) for frm,to in self.sumk_to_solver[ish].iteritems(): if to[0] is not None: self.gf_struct_solver[ish][frm[0]+'_'+str(frm[1])]=[0] self.sumk_to_solver[ish][frm]=(frm[0]+'_'+str(frm[1]),0) self.solver_to_sumk[ish][(frm[0]+'_'+str(frm[1]),0)]=frm self.solver_to_sumk_block[ish][frm[0]+'_'+str(frm[1])]=frm[0] def __eq__(self,other): def compare(one,two): if type(one)!=type(two): return False if one is None and two is None: return True if isinstance(one,list) or isinstance(one,tuple): if len(one) != len(two): return False for x,y in zip(one,two): if not compare(x,y): return False return True elif isinstance(one,int): return one==two elif isinstance(one,str): return one==two elif isinstance(one,dict): if set(one.keys()) != set(two.keys()): return False for k in set(one.keys()).intersection(two.keys()): if not compare(one[k],two[k]): return False return True warn('Cannot compare {}'.format(type(one))) return False for prop in [ "gf_struct_sumk", "gf_struct_solver", "solver_to_sumk", "sumk_to_solver", "solver_to_sumk_block"]: if not compare(getattr(self,prop),getattr(other,prop)): return False return True def copy(self): return copy.deepcopy(self) def __reduce_to_dict__(self): """ Reduce to dict for HDF5 export.""" ret = {} for element in [ "gf_struct_sumk", "gf_struct_solver", "solver_to_sumk_block"]: ret[element] = getattr(self,element) def construct_mapping(mapping): d = [] for ish in range(len(mapping)): d.append({}) for k,v in mapping[ish].iteritems(): d[ish][repr(k)] = repr(v) return d ret['solver_to_sumk']=construct_mapping(self.solver_to_sumk) ret['sumk_to_solver']=construct_mapping(self.sumk_to_solver) return ret @classmethod def __factory_from_dict__(cls,name,D) : """ Create from dict for HDF5 import.""" def reconstruct_mapping(mapping): d = [] for ish in range(len(mapping)): d.append({}) for k,v in mapping[ish].iteritems(): # literal_eval is a saje alternative to eval d[ish][literal_eval(k)] = literal_eval(v) return d D['solver_to_sumk']=reconstruct_mapping(D['solver_to_sumk']) D['sumk_to_solver']=reconstruct_mapping(D['sumk_to_solver']) return cls(**D) def __str__(self): s='' s+= "gf_struct_sumk "+str( self.gf_struct_sumk)+'\n' s+= "gf_struct_solver "+str(self.gf_struct_solver)+'\n' s+= "solver_to_sumk_block "+str(self.solver_to_sumk_block)+'\n' for el in ['solver_to_sumk','sumk_to_solver']: s+=el+'\n' element=getattr(self,el) for ish in range(len(element)): s+=' shell '+str(ish)+'\n' def keyfun(el): return '{}_{:05d}'.format(el[0],el[1]) keys = sorted(element[ish].keys(),key=keyfun) for k in keys: s+=' '+str(k)+str(element[ish][k])+'\n' return s from pytriqs.archive.hdf_archive_schemes import register_class register_class(BlockStructure)