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How to use _map method in robotframework-ioslibrary

Best Python code snippet using robotframework-ioslibrary_python

alternative_calc_gamma3.py

Source:alternative_calc_gamma3.py

1#!usr/bin/env python2import sys3import numpy as np4import parameter as para5from weight import UP,DOWN,IN,OUT6import weight, plot7from logger import *8import r_index 9import calculator as calc10def SimpleGG(G, _map):11    #half integer tin and tout12    GammaG=np.zeros([2, _map.Vol, _map.MaxTauBin, _map.MaxTauBin])+0.0*1j13    G.FFT("R", "T")14    Uspin=UP15    Gspin=UP16    sub=017    r=018    for t1 in range(_map.MaxTauBin):19        tg1=t120        sign1=121        G1=G.Data[Uspin,sub,Gspin,sub,r,tg1]*sign122        for t2 in range(_map.MaxTauBin):23            tg2=-t2-124            sign2=125            if tg2<0:26                tg2+=_map.MaxTauBin27                sign2=-sign228            G2=sign2*G.Data[Gspin,sub,Uspin,sub,r,tg2]29            GammaG[Gspin, r, t1, t2]=G1*G2 30    return GammaG31def GGW(GammaG,W,_map):32    W.FFT("R","T")33    #GammaG=SimpleGG(G,_map)34    OrderSign = -135    spinUP=_map.Spin2Index(UP,UP)36    spinDOWN=_map.Spin2Index(DOWN,DOWN)37    spinUPDOWN=_map.Spin2Index(UP,DOWN)38    spinDOWNUP=_map.Spin2Index(DOWN,UP)39    sub=040    GGW=np.zeros([2, _map.Vol, _map.MaxTauBin, _map.MaxTauBin])+0.0*1j41    Wshift=weight.Weight("SmoothT", _map, "FourSpins", "Symmetric", "R","T")42    for t in range(_map.MaxTauBin):43        t1=t-144        if t1<0:45            t1+=_map.MaxTauBin46        Wshift.Data[:,:,:,:,:,t]=0.5*(W.Data[:,:,:,:,:,t1]+W.Data[:,:,:,:,:,t])47    for t1 in range(_map.MaxTauBin):48        for t2 in range(_map.MaxTauBin):49            dt = t1 - t250            if dt <0:51                dt = dt + _map.MaxTauBin52            GGW[UP, :, t1,t2] = GammaG[UP,:,t1,t2]*Wshift.Data[spinUP,sub,spinUP,sub,0,dt]53            GGW[UP, :, t1,t2] += GammaG[DOWN,:,t1,t2]*Wshift.Data[spinUPDOWN,sub,spinDOWNUP,sub,0,dt]54            GGW[DOWN, :, t1,t2] = GammaG[UP,:,t1,t2]*Wshift.Data[spinDOWNUP,sub,spinUPDOWN,sub,0,dt]55            GGW[DOWN, :, t1,t2] += GammaG[DOWN,:,t1,t2]*Wshift.Data[spinDOWN,sub,spinDOWN,sub,0,dt]56    return GGW*OrderSign57def AddTwoGToGammaG(GammaG, G, _map):58    #integer tin and tout59    G.FFT("R","T")60    spinUP=_map.Spin2Index(UP,UP)61    spinDOWN=_map.Spin2Index(DOWN,DOWN)62    sub=063    r=064    GGGammaG=np.zeros([2, _map.Vol, _map.MaxTauBin, _map.MaxTauBin])+0.0*1j65    for t in range(_map.MaxTauBin):66        for tout in range(_map.MaxTauBin):67            tgout=t-tout-168            signout=169            if tgout<0:70                tgout+=_map.MaxTauBin71                signout*=-172            Gout=0.5*signout*G.Data[:,sub,:,sub,r,tgout]73            tgout=t-tout74            signout=175            if tgout<0:76                tgout+=_map.MaxTauBin77                signout*=-178            Gout+=0.5*signout*G.Data[:,sub,:,sub,r,tgout]79            for tin in range(_map.MaxTauBin):80                GGGammaG[UP, :, t, tin]+=Gout[UP,UP]*GammaG[UP,:,tout,tin]81                GGGammaG[DOWN, :, t, tin]+=Gout[DOWN,DOWN]*GammaG[DOWN,:,tout,tin]82    GGGammaGNew=np.zeros([2, _map.Vol, _map.MaxTauBin, _map.MaxTauBin])+0.0*1j83    for t in range(_map.MaxTauBin):84        for tin in range(_map.MaxTauBin):85            tgin=tin-t 86            signin=187            if tgin<0:88                tgin+=_map.MaxTauBin89                signin*=-190            Gin=0.5*signin*G.Data[:,sub,:,sub,r,tgin]91            tgin=tin-t-1 92            signin=193            if tgin<0:94                tgin+=_map.MaxTauBin95                signin*=-196            Gin+=0.5*signin*G.Data[:,sub,:,sub,r,tgin]97            for tout in range(_map.MaxTauBin):98                GGGammaGNew[UP, :, tout, t]+=Gin[UP,UP]*GGGammaG[UP,:,tout,tin]99                GGGammaGNew[DOWN, :, tout, t]+=Gin[DOWN,DOWN]*GGGammaG[DOWN,:,tout,tin]100    return GGGammaGNew*_map.Beta**2/_map.MaxTauBin**2101def AddG_To_GammaG(GammaG, G, _map):102    #integer tin and tout103    G.FFT("R","T")104    FermiLoopSign=-1105    spinUP=_map.Spin2Index(UP,UP)106    spinDOWN=_map.Spin2Index(DOWN,DOWN)107    sub=0108    GGammaG = np.zeros([6, _map.Vol, _map.Vol, _map.MaxTauBin, _map.MaxTauBin])+0.0*1j109    for tout in range(_map.MaxTauBin):110        for tin in range(_map.MaxTauBin):111            tgout = tin - tout -1112            sign=1113            if tgout<0:114                tgout+=_map.MaxTauBin115                sign*=-1116            Gout = 0.5*sign*G.Data[:,sub,:,sub,0,tgout]117            tgout = tin - tout118            sign=1119            if tgout<0:120                tgout+=_map.MaxTauBin121                sign*=-1122            Gout += 0.5*sign*G.Data[:,sub,:,sub,0,tgout]123            for r in range(_map.Vol):124                ## UP UP UP UP125                GGammaG[0, r, r, tout, tin] = Gout[UP,UP]*GammaG[UP,r,tout,tin]126                ## DOWN DOWN DOWN DOWN127                GGammaG[1, r, r, tout, tin] = Gout[DOWN,DOWN]*GammaG[DOWN,r,tout,tin]128                ## in:UP DOWN out:DOWN UP129                GGammaG[5, r, r, tout, tin] = Gout[UP, UP]*GammaG[DOWN,r,tout,tin]130                ## in:DOWN UP out:UP DOWN 131                GGammaG[4, r, r, tout, tin] = Gout[DOWN,DOWN]*GammaG[UP,r,tout,tin]132            ### reverse133            tgout = tout - tin -1134            sign=1135            if tgout<0:136                tgout+=_map.MaxTauBin137                sign*=-1138            Gout = 0.5*sign*G.Data[:,sub,:,sub,0,tgout]139            tgout = tout - tin140            sign=1141            if tgout<0:142                tgout+=_map.MaxTauBin143                sign*=-1144            Gout += 0.5*sign*G.Data[:,sub,:,sub,0,tgout]145            for r in range(_map.Vol):146                ## UP UP UP UP147                GGammaG[0, r, r, tout, tin] += Gout[UP,UP]*GammaG[UP,r,tin,tout]148                ## DOWN DOWN DOWN DOWN149                GGammaG[1, r, r, tout, tin] += Gout[DOWN,DOWN]*GammaG[DOWN,r,tin,tout]150                ## in:UP DOWN out:DOWN UP151                GGammaG[5, r, r, tout, tin] += Gout[DOWN, DOWN]*GammaG[UP,r,tin,tout]152                ## in:DOWN UP out:UP DOWN 153                GGammaG[4, r, r, tout, tin] += Gout[UP,UP]*GammaG[DOWN,r,tin,tout]154    return FermiLoopSign*GGammaG155def GenerateSpinIndex(_map):156    UPUP=_map.Spin2Index(UP,UP)157    DOWNDOWN=_map.Spin2Index(DOWN,DOWN)158    UPDOWN=_map.Spin2Index(UP,DOWN)159    DOWNUP=_map.Spin2Index(DOWN,UP)160    spinindex=np.array([UP,DOWN])161    spin2index=np.array([UPUP,DOWNDOWN, UPDOWN, DOWNUP])162    return (spinindex, spin2index)163def FastWWGammaW(GGammaG, W0, W, _map):164    import gamma3165    sub = 0166    W.FFT("R","T")167    W0.FFT("R")168    rIndex=np.zeros([_map.Vol, _map.Vol])169    for r in range(_map.Vol):170        for rout in range(_map.Vol):171            rIndex[r, rout] = int(r_index.CoordiIndex(r, rout, _map))172    spinindex, spin2index=GenerateSpinIndex(_map)173    # print "before", GGammaG[:,0,0,0,0]174    WWGammaW=gamma3.fast_wwgammaw(GGammaG, W0.Data[:,sub,:,sub,:], W.Data[:,sub,:,sub,:,:], _map.Beta, rIndex, spinindex, spin2index, _map.Vol, _map.MaxTauBin)175    # print WWGammaW[:,0,0,0,0]176    # print "after", GGammaG[:,0,0,0,0]177    return WWGammaW178def FFTGammaW(GammaW, _map, BackForth):179    OldShape=GammaW.shape180    NewShape=(6, _map.L[0], _map.L[1], _map.L[0], _map.L[1], _map.MaxTauBin, _map.MaxTauBin)181    GammaW=GammaW.reshape(NewShape)182    if BackForth==1:183        GammaW=np.fft.fftn(GammaW, axes=[1,2,3,4,5,6]) 184    elif BackForth==-1:185        GammaW=np.fft.ifftn(GammaW, axes=[1,2,3,4,5,6]) 186    GammaW=GammaW.reshape(OldShape)187    return GammaW188def FFTWshift(Wshift, _map, BackForth):189    OldShape=Wshift.shape190    NewShape=(4,4, _map.L[0], _map.L[1], _map.MaxTauBin)191    Wshift=Wshift.reshape(NewShape)192    if BackForth==1:193        Wshift=np.fft.fftn(Wshift, axes=[2,3,4]) 194    elif BackForth==-1:195        Wshift=np.fft.ifftn(Wshift, axes=[2,3,4]) 196    Wshift=Wshift.reshape(OldShape)197    return Wshift198def FourierWWGammaW(GGammaG, W0, W, _map):199    # import gamma3200    GGammaG=np.array(GGammaG)201    sub = 0202    UPUP=_map.Spin2Index(UP,UP)203    DOWNDOWN=_map.Spin2Index(DOWN,DOWN)204    UPDOWN=_map.Spin2Index(UP,DOWN)205    DOWNUP=_map.Spin2Index(DOWN,UP)206    spinindex, spin2index=GenerateSpinIndex(_map)207    W.FFT("R","T")208    W0.FFT("R", "T")209    Wshift=weight.Weight("SmoothT", _map, "FourSpins", "Symmetric", "R","T")210    for t in range(_map.MaxTauBin):211        t1=t-1212        if t1<0:213            t1+=_map.MaxTauBin214        Wshift.Data[:,:,:,:,:,t]=0.5*(W.Data[:,:,:,:,:,t1]+W.Data[:,:,:,:,:,t])215    Wtot=np.array(Wshift.Data[:,0,:,0,:,:])*_map.Beta/_map.MaxTauBin216    Wtot[:,:,:,0]+=W0.Data[:,0,:,0,:]217    Wtot=FFTWshift(Wtot, _map, 1)218    GGammaG=FFTGammaW(GGammaG, _map, 1)219    WGammaW=np.zeros([6, _map.Vol, _map.Vol, _map.MaxTauBin, _map.MaxTauBin])+0.0*1j220    print "calculating WGammaW with fourier..."221    TempGammaW=np.array(GGammaG)222    TempGammaW[0,:,:,:,:]=GGammaG[0,:,:,:,:]223    TempGammaW[1,:,:,:,:]=GGammaG[1,:,:,:,:]224    TempGammaW[2,:,:,:,:]=GGammaG[1,:,:,:,:]225    TempGammaW[3,:,:,:,:]=GGammaG[0,:,:,:,:]226    TempGammaW[4,:,:,:,:]=GGammaG[5,:,:,:,:]227    TempGammaW[5,:,:,:,:]=GGammaG[4,:,:,:,:]228    Wout = np.zeros((6,Wtot.shape[2],1,Wtot.shape[3],1)) +0.0*1j229    Wout[0,:,0,:,0] = Wtot[UPUP, UPUP, :, :]230    Wout[1,:,0,:,0] = Wtot[DOWNDOWN, DOWNDOWN, :, :]231    Wout[2,:,0,:,0] = Wtot[UPUP, DOWNDOWN, :, :]232    Wout[3,:,0,:,0] = Wtot[DOWNDOWN, UPUP, :, :]233    Wout[4,:,0,:,0] = Wtot[UPDOWN, DOWNUP, :, :]234    Wout[5,:,0,:,0] = Wtot[DOWNUP, UPDOWN, :, :]235    WGammaW = Wout * TempGammaW236    # for kout in range(_map.Vol):237        # for wout in range(_map.MaxTauBin):238                239                    # # UPUP UPUP240                    # WGammaW[0, kout, :, wout, :]  = Wout[UPUP, UPUP, kout, wout] * GGammaG[0, kout, :, wout, :]241                    # # DOWNDOWN DOWNDOWN242                    # WGammaW[1, kout, :, wout, :]  = Wout[DOWNDOWN, DOWNDOWN, kout, wout] * GGammaG[1, kout, :, wout, :]243                    # # out:UPUP in:DOWNDOWN 244                    # WGammaW[2, kout, :, wout, :]  = Wout[UPUP, DOWNDOWN, kout, wout] * GGammaG[1, kout, :, wout, :]245                    # # out:DOWNDOWN in:UPUP246                    # WGammaW[3, kout, :, wout, :]  = Wout[DOWNDOWN, UPUP, kout, wout] * GGammaG[0, kout, :, wout, :]247                    # # out:UPDOWN in:DOWNUP248                    # WGammaW[4, kout, :, wout, :]  = Wout[UPDOWN, DOWNUP, kout, wout] * GGammaG[5, kout, :, wout, :]249                    # # out:DOWNUP in:UPDOWN250                    # WGammaW[5, kout, :, wout, :]  = Wout[DOWNUP, UPDOWN, kout, wout] * GGammaG[4, kout, :, wout, :]251    print "calculating WWGammaW with fourier..."252    Win = np.zeros((6,1,Wtot.shape[2],1,Wtot.shape[3])) +0.0*1j253    Win[0,0,:,0,:] = Wtot[UPUP, UPUP, :, :]254    Win[1,0,:,0,:] = Wtot[DOWNDOWN, UPUP, :, :]255    Win[2,0,:,0,:] = Wtot[DOWNDOWN, UPUP, :, :]256    Win[3,0,:,0,:] = Wtot[UPUP, UPUP, :, :]257    Win[4,0,:,0,:] = Wtot[UPDOWN, DOWNUP, :, :]258    Win[5,0,:,0,:] = Wtot[DOWNUP, UPDOWN, :, :]259    TempGammaW[0,:,:,:,:] = WGammaW[0,:,:,:,:]260    TempGammaW[1,:,:,:,:] = WGammaW[3,:,:,:,:]261    TempGammaW[2,:,:,:,:] = WGammaW[0,:,:,:,:]262    TempGammaW[3,:,:,:,:] = WGammaW[3,:,:,:,:]263    TempGammaW[4,:,:,:,:] = WGammaW[4,:,:,:,:]264    TempGammaW[5,:,:,:,:] = WGammaW[5,:,:,:,:]265    266    WWGammaW = Win * TempGammaW267    Win[0,0,:,0,:] = Wtot[UPUP, DOWNDOWN, :, :]268    Win[1,0,:,0,:] = Wtot[DOWNDOWN, DOWNDOWN, :, :]269    Win[2,0,:,0,:] = Wtot[DOWNDOWN, DOWNDOWN, :, :]270    Win[3,0,:,0,:] = Wtot[UPUP, DOWNDOWN, :, :]271    TempGammaW[0,...] = WGammaW[2,...]272    TempGammaW[1,...] = WGammaW[1,...]273    TempGammaW[2,...] = WGammaW[2,...]274    TempGammaW[3,...] = WGammaW[1,...]275    WWGammaW[0:4,...] += Win[0:4,...] * TempGammaW[0:4,...]276    # WWGammaW = np.zeros([6, _map.Vol, _map.Vol, _map.MaxTauBin, _map.MaxTauBin]) + 0.0*1j277    # for kin in range(_map.Vol):278            # for win in range(_map.MaxTauBin):279                    # ## out:UPUP in:UPUP280                    # WWGammaW[0, :, kin, :, win] = Win[UPUP, UPUP, kin, win] * WGammaW[0, :, kin, :, win] + Win[UPUP, DOWNDOWN,kin, win] * WGammaW[2, :, kin, :, win]281                    # ## out:DOWNDOWN in:DOWNDOWN282                    # WWGammaW[1, :, kin, :, win] = Win[DOWNDOWN, UPUP,kin, win] * WGammaW[3, :, kin, :, win] + Win[DOWNDOWN, DOWNDOWN,kin, win] * WGammaW[1, :, kin, :, win]283                    # ## out:UPUP in:DOWNDOWN284                    # WWGammaW[2, :, kin, :, win] = Win[DOWNDOWN, UPUP,kin, win] * WGammaW[0, :, kin, :, win] + Win[DOWNDOWN, DOWNDOWN,kin, win] * WGammaW[2, :, kin, :, win]285                    # ## out:DOWNDOWN in:UPUP286                    # WWGammaW[3, :, kin, :, win] = Win[UPUP, UPUP,kin, win] * WGammaW[3, :, kin, :, win] + Win[UPUP, DOWNDOWN, kin, win] * WGammaW[1, :, kin, :, win]287                    # ## out:UPDOWN in:DOWNUP288                    # WWGammaW[4, :, kin, :, win] = Win[UPDOWN, DOWNUP, kin, win] * WGammaW[4, :, kin, :, win]289                    # ## out:DOWNUP in:UPDOWN290                    # WWGammaW[5, :, kin, :, win] = Win[DOWNUP, UPDOWN, kin, win] * WGammaW[5, :, kin, :, win]291    WWGammaW=FFTGammaW(WWGammaW, _map, -1)292    W0.FFT("R","T")293    W.FFT("R","T")294    print "calculating WWGammaW with fourier done!"295    return -1.0*WWGammaW296def FastFourierWWGammaW(GGammaG, W0, W, _map):297    import gamma3298    # GGammaG=np.array(GGammaG)299    sub = 0300    UPUP=_map.Spin2Index(UP,UP)301    DOWNDOWN=_map.Spin2Index(DOWN,DOWN)302    UPDOWN=_map.Spin2Index(UP,DOWN)303    DOWNUP=_map.Spin2Index(DOWN,UP)304    spinindex, spin2index=GenerateSpinIndex(_map)305    W.FFT("R","T")306    W0.FFT("R", "T")307    Wshift=weight.Weight("SmoothT", _map, "FourSpins", "Symmetric", "R","T")308    for t in range(_map.MaxTauBin):309        t1=t-1310        if t1<0:311            t1+=_map.MaxTauBin312        Wshift.Data[:,:,:,:,:,t]=0.5*(W.Data[:,:,:,:,:,t1]+W.Data[:,:,:,:,:,t])313    Wtot=np.array(Wshift.Data[:,0,:,0,:,:])*_map.Beta/_map.MaxTauBin314    Wtot[:,:,:,0]+=W0.Data[:,0,:,0,:]315    Wtot=FFTWshift(Wtot, _map, 1)316    GGammaG=FFTGammaW(GGammaG, _map, 1)317    WWGammaW=gamma3.fast_fourier_wwgammaw(GGammaG, Wtot, _map.Beta, spinindex, spin2index, _map.Vol, _map.MaxTauBin)318    WWGammaW=FFTGammaW(WWGammaW, _map, -1)319    W0.FFT("R","T")320    W.FFT("R","T")321    return WWGammaW322def WWGammaW(GGammaG, W0, W, _map):323    sub = 0324    W.FFT("R","T")325    W0.FFT("R")326    UPUP=_map.Spin2Index(UP,UP)327    DOWNDOWN=_map.Spin2Index(DOWN,DOWN)328    UPDOWN=_map.Spin2Index(UP,DOWN)329    DOWNUP=_map.Spin2Index(DOWN,UP)330    print "calculating WGammaW..."331    WGammaW=np.zeros([6, _map.Vol, _map.Vol, _map.MaxTauBin, _map.MaxTauBin])+0.0*1j332    for r in range(_map.Vol):333        for rout in range(_map.Vol):334            dr_out = int(r_index.CoordiIndex(r, rout, _map))335            for t in range(_map.MaxTauBin):336                for tout in range(_map.MaxTauBin):337                    dt_out = t - tout -1338                    if dt_out<0:339                        dt_out+=_map.MaxTauBin340                    Wout = 0.5*W.Data[:,sub,:,sub,dr_out,dt_out]*(_map.Beta/_map.MaxTauBin)341                    dt_out = t - tout342                    if dt_out<0:343                        dt_out+=_map.MaxTauBin344                    Wout += 0.5*W.Data[:,sub,:,sub,dr_out,dt_out]*(_map.Beta/_map.MaxTauBin)345                    if t == tout:346                        Wout += W0.Data[:,sub,:,sub,dr_out]347                    #For Delta W test348                    # if t!= tout:349                        # continue350                    # else:351                        # Wout = W0.Data[:,sub,:,sub,dr_out]352                    # UPUP UPUP353                    WGammaW[0, r, :, t, :]  += Wout[UPUP, UPUP] * GGammaG[0, rout, :, tout, :]354                    # DOWNDOWN DOWNDOWN355                    WGammaW[1, r, :, t, :]  += Wout[DOWNDOWN, DOWNDOWN] * GGammaG[1, rout, :, tout, :]356                    # out:UPUP in:DOWNDOWN 357                    WGammaW[2, r, :, t, :]  += Wout[UPUP, DOWNDOWN] * GGammaG[1, rout, :, tout, :]358                    # out:DOWNDOWN in:UPUP359                    WGammaW[3, r, :, t, :]  += Wout[DOWNDOWN, UPUP] * GGammaG[0, rout, :, tout, :]360                    # out:UPDOWN in:DOWNUP361                    WGammaW[4, r, :, t, :]  += Wout[UPDOWN, DOWNUP] * GGammaG[5, rout, :, tout, :]362                    # out:DOWNUP in:UPDOWN363                    WGammaW[5, r, :, t, :]  += Wout[DOWNUP, UPDOWN] * GGammaG[4, rout, :, tout, :]364    # print "ConventionalWGammaW, type0, tau1=0, dyson=\n", WGammaW[0, 1, 1, 0, :]365    # print "ConventionalWGammaW, type0, tau1=1, dyson=\n", WGammaW[0, 1, 1, 1, :]366    # print "ConventionalWGammaW, type0, tau2=0, dyson=\n", WGammaW[0, 1, 1, :, 0]367    # print "ConventionalWGammaW, type0, tau2=1, dyson=\n", WGammaW[0, 1, 1, :, 1]368    # print "ConventionalWGammaW, type0, diagonal, dyson=\n", WGammaW[0, 1, 1, :, :].diagonal()369    print "calculating WWGammaW..."370    WWGammaW = np.zeros([6, _map.Vol, _map.Vol, _map.MaxTauBin, _map.MaxTauBin]) + 0.0*1j371    for r in range(_map.Vol):372        for rin in range(_map.Vol):373            dr_in = int(r_index.CoordiIndex(rin, r, _map))374            for t in range(_map.MaxTauBin):375                for tin in range(_map.MaxTauBin):376                    dt_in = tin - t377                    if dt_in < 0:378                        dt_in +=_map.MaxTauBin379                    Win = 0.5*W.Data[:,sub,:,sub,dr_in,dt_in]*(_map.Beta/_map.MaxTauBin)380                    dt_in = tin - t-1381                    if dt_in < 0:382                        dt_in +=_map.MaxTauBin383                    Win += 0.5*W.Data[:,sub,:,sub,dr_in,dt_in]*(_map.Beta/_map.MaxTauBin)384                    if t == tin:385                        Win += W0.Data[:,sub,:,sub, dr_in]386                    ##For DeltaW test387                    # if t!= tin:388                        # continue389                    # else:390                        # Win = W0.Data[:,sub,:,sub,dr_in]391                    ## out:UPUP in:UPUP392                    WWGammaW[0, :, r, :, t] += Win[UPUP, UPUP] * WGammaW[0, :, rin, :, tin]393                    WWGammaW[0, :, r, :, t] += Win[UPUP, DOWNDOWN] * WGammaW[2, :, rin, :, tin]394                    ## out:DOWNDOWN in:DOWNDOWN395                    WWGammaW[1, :, r, :, t] += Win[DOWNDOWN, UPUP] * WGammaW[3, :, rin, :, tin]396                    WWGammaW[1, :, r, :, t] += Win[DOWNDOWN, DOWNDOWN] * WGammaW[1, :, rin, :, tin]397                    ## out:UPUP in:DOWNDOWN398                    WWGammaW[2, :, r, :, t] += Win[DOWNDOWN, UPUP] * WGammaW[0, :, rin, :, tin]399                    WWGammaW[2, :, r, :, t] += Win[DOWNDOWN, DOWNDOWN] * WGammaW[2, :, rin, :, tin]400                    ## out:DOWNDOWN in:UPUP401                    WWGammaW[3, :, r, :, t] += Win[UPUP, UPUP] * WGammaW[3, :, rin, :, tin]402                    WWGammaW[3, :, r, :, t] += Win[UPUP, DOWNDOWN] * WGammaW[1, :, rin, :, tin]403                    ## out:UPDOWN in:DOWNUP404                    WWGammaW[4, :, r, :, t] += Win[UPDOWN, DOWNUP] * WGammaW[4, :, rin, :, tin]405                    ## out:DOWNUP in:UPDOWN406                    WWGammaW[5, :, r, :, t] += Win[DOWNUP, UPDOWN] * WGammaW[5, :, rin, :, tin]407    return -1.0*WWGammaW408def GammaWToGammaG(GammaW, G, _map):409    #integer tin and tout410    G.FFT("R","T")411    spinUP=_map.Spin2Index(UP,UP)412    spinDOWN=_map.Spin2Index(DOWN,DOWN)413    sub=0414    GGammaW = np.zeros([2, _map.Vol, _map.MaxTauBin, _map.MaxTauBin])+0.0*1j415    for r in range(_map.Vol):416        for tout in range(_map.MaxTauBin):417            for tin in range(_map.MaxTauBin):418                tgout = tout - tin -1419                sign=1420                if tgout<0:421                    tgout+=_map.MaxTauBin422                    sign*=-1423                Gout = 0.5*sign*G.Data[:,sub,:,sub,0,tgout]424                tgout = tout - tin425                sign=1426                if tgout<0:427                    tgout+=_map.MaxTauBin428                    sign*=-1429                Gout += 0.5*sign*G.Data[:,sub,:,sub,0,tgout]430                GGammaW[UP, r, tout, tin] += Gout[UP,UP]*GammaW[0,r,r,tout,tin]431                GGammaW[UP, r, tout, tin] += Gout[DOWN,DOWN]*GammaW[5,r,r,tout,tin]432                GGammaW[DOWN, r, tout, tin] += Gout[DOWN,DOWN]*GammaW[1,r,r,tout,tin]433                GGammaW[DOWN, r, tout, tin] += Gout[UP,UP]*GammaW[4,r,r,tout,tin]434    # GammaG=AddTwoGToGammaG(GGammaW, G, _map)435    # return GammaG436    return GGammaW437def shift(r, L):438    if r<0:439        r+=L440    elif r>=L:441        r-=L442    return r443def FastGammaG_RPA(GammaG, G, W0, _map):444    import gamma3445    #OrderSign=-1, FermiLoopSign=-1, therefore TotalSign=1446    #integer tin and tout447    print "calculating FirstOrder GammaG using fortran fast RPA..."448    W0.FFT("R", "T")449    G.FFT("R", "T")450    spinindex, spin2index=GenerateSpinIndex(_map)451    rIndex=np.zeros([_map.Vol, _map.Vol])452    sub=0453    GammaGNew=np.zeros([2, _map.Vol, _map.MaxTauBin, _map.MaxTauBin])+0.0*1j454    for r in range(_map.Vol):455        for rout in range(_map.Vol):456            rIndex[r, rout] = int(r_index.CoordiIndex(r, rout, _map))457    GammaGNew=gamma3.fast_gammag_rpa(GammaGNew, GammaG, G.Data[:,sub,:,sub,0,:], W0.Data[:,sub,:,sub,:], _map.Beta, rIndex, spinindex, spin2index, _map.Vol, _map.MaxTauBin)458    # print GammaGNew459    print "calculating FirstOrder GammaG done!"460    return GammaGNew461def Calculate_RPA(Chi, Polar, W0, _map):462    ChiNew=np.zeros([2, _map.Vol, _map.MaxTauBin])+0.0*1j463    spinUP=_map.Spin2Index(UP,UP)464    spinDOWN=_map.Spin2Index(DOWN,DOWN)465    print "calculating RPA..."466    # # # print "GammaG[UP,UP]=\n", GammaG[UP,0,:,-1]467    W0.FFT("R", "T")468    sub=0469    r=0470    Neighbors=[]471    Lx, Ly=_map.L472    for Gx in range(Lx):473        for dx in [-1,0,1]:474            x=shift(Gx+dx, Lx)475            for Gy in range(Ly):476                for dy in [-1,0,1]:477                    y=shift(Gy+dy, Ly)478                    dx_shift=shift(dx, Lx)479                    dy_shift=shift(dy, Ly)480                    i=_map.CoordiIndex([Gx,Gy])481                    j=_map.CoordiIndex([x,y])482                    k=_map.CoordiIndex([dx_shift,dy_shift])483                    Neighbors.append([i,j,W0.Data[:,sub,:,sub,k]])484                    # print W0.Data[spinUP,sub,spinUP,sub,k], dx, dy485                    # print W0.Data[:,sub,:,sub,k], dx, dy486    AvgPolar = np.zeros(Polar.shape)+0.0*1j487    for t in range(_map.MaxTauBin):488        t1 = t - 1489        if t1 < 0:490            t1 += _map.MaxTauBin491        AvgPolar[:, :, t]=0.5*( Polar[:, :, t1] + Polar[:, :, t])492    for t3 in range(_map.MaxTauBin):493        for tout in range(_map.MaxTauBin):494            dtout = tout-t3495            if dtout<0:496                dtout += _map.MaxTauBin497            for r in range(_map.Vol):498                for r1, r2, V in Neighbors:499                    dr = int(r_index.CoordiIndex(r, r1, _map))500                    ChiNew[UP,r,tout] += ( AvgPolar[UP,dr,dtout] * V[spinUP,spinUP] +  AvgPolar[DOWN,dr,dtout] * V[spinDOWN,spinUP])  * Chi[UP, r2, t3] 501                    ChiNew[UP,r,tout] += ( AvgPolar[UP,dr,dtout] * V[spinUP,spinDOWN] +  AvgPolar[DOWN,dr,dtout] * V[spinDOWN,spinDOWN])  * Chi[DOWN, r2, t3] 502                    ChiNew[DOWN,r,tout] += ( AvgPolar[DOWN,dr,dtout] * V[spinUP,spinUP] +  AvgPolar[UP,dr,dtout] * V[spinDOWN,spinUP])  * Chi[UP, r2, t3] 503                    ChiNew[DOWN,r,tout] += ( AvgPolar[DOWN,dr,dtout] * V[spinUP,spinDOWN] +  AvgPolar[UP,dr,dtout] * V[spinDOWN,spinDOWN])  * Chi[DOWN, r2, t3] 504    ChiNew*=_map.Beta/_map.MaxTauBin*(-1.0)505    print "calculating RPA done!"506    return ChiNew507def GammaG_FirstOrder(GammaG, G, W0, _map):508    #OrderSign=-1, FermiLoopSign=-1, therefore TotalSign=1509    #integer tin and tout510    GG=SimpleGG(G,_map)511    GammaGNew=np.zeros([2, _map.Vol, _map.MaxTauBin, _map.MaxTauBin])+0.0*1j512    spinUP=_map.Spin2Index(UP,UP)513    spinDOWN=_map.Spin2Index(DOWN,DOWN)514    print "calculating FirstOrder GammaG..."515    # # # print "GammaG[UP,UP]=\n", GammaG[UP,0,:,-1]516    W0.FFT("R", "T")517    G.FFT("R", "T")518    sub=0519    r=0520    Neighbors=[]521    Lx, Ly=_map.L522    for Gx in range(Lx):523        for dx in [-1,0,1]:524            x=shift(Gx+dx, Lx)525            #if x<0:526                #x+=Lx527            #elif x>=Lx:528                #x-=Lx529            for Gy in range(Ly):530                for dy in [-1,0,1]:531                    y=shift(Gy+dy, Ly)532                    #if y<0:533                        #y+=Ly534                    #elif y>=Ly:535                        #y-=Ly536                    dx_shift=shift(dx, Lx)537                    dy_shift=shift(dy, Ly)538                    #if dx<0539                        #dx_shift+=Lx540                    #if dy<0:541                        #dy_shift+=Ly542                    i=_map.CoordiIndex([Gx,Gy])543                    j=_map.CoordiIndex([x,y])544                    k=_map.CoordiIndex([dx_shift,dy_shift])545                    Neighbors.append([i,j,W0.Data[:,sub,:,sub,k]])546                    # print W0.Data[spinUP,sub,spinUP,sub,k], dx, dy547                    # print W0.Data[:,sub,:,sub,k], dx, dy548    for t3 in range(_map.MaxTauBin):549        dt=t3550        Polar=0.5*GammaG[:, :, dt, dt]551        dt=t3-1552        if dt<0:553            dt+=_map.MaxTauBin554        Polar+=0.5*GammaG[:, :, dt, dt]555        556        for tin in range(_map.MaxTauBin):557            # dtin=t3-tin558            # sign=1559            # if dtin<0:560                # dtin+=_map.MaxTauBin561                # sign*=-1562            # G1=0.5*sign*G.Data[UP,sub,UP,sub,0,dtin]563            dtin=t3-tin-1564            sign=1565            if dtin<0:566                dtin+=_map.MaxTauBin567                sign*=-1568            # G1+=0.5*sign*G.Data[UP,sub,UP,sub,0,dtin]569            G1=sign*G.Data[UP,sub,UP,sub,0,dtin]570            for tout in range(_map.MaxTauBin):571                # dtout=tout-t3-1572                # sign=1573                # if dtout<0:574                    # dtout+=_map.MaxTauBin575                    # sign*=-1576                # G2=0.5*sign*G.Data[UP,sub,UP,sub,0,dtout]577                dtout=tout-t3578                sign=1579                if dtout<0:580                    dtout+=_map.MaxTauBin581                    sign*=-1582                # G2+=0.5*sign*G.Data[UP,sub,UP,sub,0,dtout]583                G2=sign*G.Data[UP,sub,UP,sub,0,dtout]584                GG=G1*G2585                586                for r1,r2,V in Neighbors:587                    # GammaGNew[UP,r1,tout,tin]+=GG*(V[spinUP,spinUP]*GammaG[UP,r2,t3,t3]+V[spinUP,spinDOWN]*GammaG[DOWN,r2,t3,t3])588                    # GammaGNew[DOWN,r1,tout,tin]+=GG*(V[spinDOWN,spinUP]*GammaG[UP,r2,t3,t3]+V[spinDOWN,spinDOWN]*GammaG[DOWN,r2,t3,t3])589                    GammaGNew[UP,r1,tout,tin] += GG *(V[spinUP,spinUP] *Polar[UP,r2] + V[spinUP,spinDOWN] * Polar[DOWN,r2])590                    GammaGNew[DOWN,r1,tout,tin] += GG *(V[spinDOWN,spinUP] *Polar[UP,r2] + V[spinDOWN,spinDOWN] * Polar[DOWN,r2])591    GammaGNew*=_map.Beta/_map.MaxTauBin592    print "calculating FirstOrder GammaG done!"593    return GammaGNew594def FullGammaG(IrGammaG, W0, _map):595    sub=0596    BKPolar=weight.Weight("SmoothT", _map, "FourSpins", "Symmetric","R","T")597    UPUP=_map.Spin2Index(UP,UP)598    DOWNDOWN=_map.Spin2Index(DOWN,DOWN)599    UPDOWN=_map.Spin2Index(UP,DOWN)600    DOWNUP=_map.Spin2Index(DOWN,UP)601    IrGammaGuu=np.zeros((_map.Vol, _map.MaxTauBin))+0.0*1j602    IrGammaGdu=np.zeros((_map.Vol, _map.MaxTauBin))+0.0*1j603    for i in range(_map.MaxTauBin):604        IrGammaGuu[:, i]=IrGammaG[UP, :, i, i]605        IrGammaGdu[:, i]=IrGammaG[DOWN, :, i, i]606    BKPolar.Data[UPUP, sub, UPUP, sub, :,:]=IrGammaGuu 607    BKPolar.Data[DOWNDOWN, sub, DOWNDOWN, sub, :,:]=IrGammaGuu 608    BKPolar.Data[DOWNDOWN, sub, UPUP, sub, :,:]=IrGammaGdu 609    BKPolar.Data[UPUP, sub, DOWNDOWN, sub, :,:]=IrGammaGdu 610    # print "BKPolar[UP,UP]=\n", BKPolar.Data[UPUP,0,UPUP,0,0,:]611    BKPolar.FFT("K", "W")612    W0.FFT("K")613    Denorm,JP=calc.Calculate_Denorminator(W0, BKPolar, _map)614    # JPJ=np.einsum("ijklvt,klmnv->ijmnvt", JP, W0.Data)615    BKChiTensor=weight.Weight("SmoothT", _map, "FourSpins", "Symmetric", "K","W")616    lu_piv,Determ=weight.LUFactor(Denorm)617    Check_Denorminator(Denorm, Determ, _map)618    BKChiTensor.LUSolve(lu_piv, -BKPolar.Data)619    return BKChiTensor, Determ620def Calculate_Chi(ChiTensor, _map):621    NSpin, NSublat=ChiTensor.NSpin, ChiTensor.NSublat622    SxSx=np.zeros((NSpin,NSpin))623    SySy=np.zeros((NSpin,NSpin))624    SzSz=np.zeros((NSpin,NSpin))625    UU=_map.Spin2Index(UP,UP) 626    UD=_map.Spin2Index(UP,DOWN) 627    DU=_map.Spin2Index(DOWN, UP) 628    DD=_map.Spin2Index(DOWN, DOWN) 629    SxSx[UD, UD]=SxSx[DU, DU]=1630    SxSx[UD, DU]=SxSx[DU, UD]=1631    SySy[UD, UD]= SySy[DU, DU]=-1632    SySy[UD, DU]= SySy[DU, UD]=1633    SzSz[UU, UU]= SzSz[DD, DD]=1634    SzSz[UU, DD]= SzSz[DD, UU]=-1635    Chi=weight.Weight("SmoothT", _map, "NoSpin", "Symmetric", ChiTensor.SpaceDomain, ChiTensor.TimeDomain)636    Chi.Data=0.0637    SS=[SzSz/4.0]638    for i in range(len(SS)):639        temp=np.einsum("ik, kminvt->mnvt", SS[i], ChiTensor.Data)640        Chi.Data+=temp.reshape([1, NSublat, 1, NSublat, _map.Vol, _map.MaxTauBin]) 641    return Chi642def Check_Denorminator(Denorm, Determ, _map):643    pos=np.where(Determ==Determ.min())644    x,t=pos[0][0], pos[1][0]645    log.info("Checking denorminator of GammaG")646    log.info("The minmum {0} is at K={1} and Omega={2}".format(Determ.min(), _map.IndexToCoordi(x), t))647    SpSub,Vol,Time=Denorm.shape[0]*Denorm.shape[1], Denorm.shape[-2], Denorm.shape[-1]648    Denorm=Denorm.reshape([SpSub,SpSub,Vol,Time])649    log.info("The 1/linalg.cond is {0}".format(1.0/np.linalg.cond(Denorm[...,x,t])))650    if Determ.min().real<0.0 and Determ.min().imag<1.0e-4:...

builder.py

Source:builder.py

...42        self._fix_building(width, height)43        self._fix_street()44        self._fix_road(width, height)45        self._fix_facing()46    def mini_map(self) -> str:47        return str(self)48    def publish(self) -> None:49        cache: Mapping[str, dict] = {}50        for x in range(0, self._map.width):51            for y in range(0, self._map.height):52                if not self._map.empty(x, y):53                    entity = Entity.eid()54                    cache[f'{x}x{y}'] = {55                        'entity': entity,56                        'vertex': Vertex(x, y)57                    }58                    Stats.update_text(59                        'room',60                        entity,61                        Stats.text(62                            'entity', 63                            self._map.cell(x, y).name.lower()64                        )65                    )66        for c in cache.values():67            exits = {}68            entity = c['entity']69            vertex = c['vertex']70            block = self._map.cell(vertex.x, vertex.y)71            if block in (72                Block.STREET_V,73                Block.CROSSROAD,74                Block.CORNER_SW,75                Block.CORNER_SE,76                Block.T_BOTTOM,77                Block.T_LEFT,78                Block.T_RIGHT79            ):80                if vertex.y > 0:81                    exits['n'] = cache[f'{vertex.x}x{vertex.y - 1}']['entity']82            if block in (83                Block.STREET_V,84                Block.CROSSROAD,85                Block.CORNER_NW,86                Block.CORNER_NE,87                Block.T_TOP,88                Block.T_LEFT,89                Block.T_RIGHT90            ):91                if vertex.y < self._map.height - 1:92                    exits['s'] = cache[f'{vertex.x}x{vertex.y + 1}']['entity']93            if block in (94                Block.STREET_H,95                Block.CROSSROAD,96                Block.CORNER_SW,97                Block.CORNER_NW,98                Block.T_TOP,99                Block.T_BOTTOM,100                Block.T_LEFT101            ):102                if vertex.x < self._map.width - 1:103                    exits['e'] = cache[f'{vertex.x + 1}x{vertex.y}']['entity']104            if block in (105                Block.STREET_H,106                Block.CROSSROAD,107                Block.CORNER_SE,108                Block.CORNER_NE,109                Block.T_TOP,110                Block.T_BOTTOM,111                Block.T_RIGHT112            ):113                if vertex.x > 0:114                    exits['w'] = cache[f'{vertex.x - 1}x{vertex.y}']['entity']115            Stats.update_text('exit', entity, exits)116        for b in self._buildings:117            if b.facing == Facing.EAST:118                exit = { 'e': cache[f'{b.x + 1}x{b.y}']['entity'] }119            elif b.facing == Facing.WEST:120                exit = { 'w': cache[f'{b.x - 1}x{b.y}']['entity'] }121            elif b.facing == Facing.NORTH:122                exit = { 'n': cache[f'{b.x}x{b.y - 1}']['entity'] }123            elif b.facing == Facing.SOUTH:124                exit = { 's': cache[f'{b.x}x{b.y + 1}']['entity'] }125            Stats.update_text('exit', cache[f'{b.x}x{b.y}']['entity'], exits)126        Stats.save('exit')127        Stats.save('room')128        f = Path(f'./tools/data/{Entity.eid()}.map')129        with f.open(mode='w', encoding='utf-8') as fout:130            fout.write(self.mini_map())131    def _check_facing(self, s: Vertex, d: Vertex) -> Facing:132        facing: Facing = Facing.NORTH133        if s.x > d.x:134            facing = Facing.WEST135        elif s.x < d.x:136            facing = Facing.EAST137        elif s.y > d.y:138            facing = Facing.NORTH139        else:140            facing = Facing.SOUTH141        return facing142    def _fix_building(self, w: int, h: int):143        x = randint(int(w * .20), int(w * .80))144        y = randint(int(h * .20), int(h * .80))145        for b in Zone.BUILDING:146            while (147                not self._map.cell(x, y) == Block.BLOCK or148                self._on_axis(x, y)149            ):150                x = randint(int(w * .20), int(w * .80))151                y = randint(int(h * .20), int(h * .80))152            self._map.update(x, y, b)153            self._buildings.append(Building(x, y, b))154    def _fix_corner_b2t(self, x: int, y: int) -> None:155        if self._map.empty(x - 1, y):156            if self._map.empty(x + 1, y):157                b = Block.STREET_V158            else:159                b = Block.CORNER_SW160        else:161            if self._map.empty(x + 1, y):162                b = Block.CORNER_SE163            else:164                b = Block.T_BOTTOM165        self._map.update(x, y, b)166    def _fix_corner_l2r(self, x: int, y: int) -> None:167        if self._map.empty(x, y - 1):168            if self._map.empty(x, y + 1):169                b = Block.STREET_H170            else:171                b = Block.CORNER_NW172        else:173            if self._map.empty(x, y + 1):174                b = Block.CORNER_SW175            else:176                b = Block.T_LEFT177        self._map.update(x, y, b)178    def _fix_corner_r2l(self, x: int, y: int) -> None:179        if self._map.empty(x, y - 1):180            if self._map.empty(x, y + 1):181                b = Block.STREET_H182            else:183                b = Block.CORNER_NE184        else:185            if self._map.empty(x, y + 1):186                b = Block.CORNER_SE187            else:188                b = Block.T_RIGHT189        self._map.update(x, y, b)190    def _fix_corner_t2b(self, x: int, y: int) -> None:191        if self._map.empty(x - 1, y):192            if self._map.empty(x + 1, y):193                b = Block.STREET_V194            else:195                b = Block.CORNER_NW196        else:197            if self._map.empty(x + 1, y):198                b = Block.CORNER_NE199            else:200                b = Block.T_TOP201        self._map.update(x, y, b)202    def _fix_facing(self):203        for b in self._buildings:204            if not b.facing == Facing.NORTH:205                block = self._map.cell(b.x, b.y - 1)206                if block == Block.CROSSROAD:207                    self._map.update(b.x, b.y - 1, Block.T_BOTTOM)208                elif block == Block.T_TOP:209                    self._map.update(b.x, b.y - 1, Block.STREET_H)210            if not b.facing == Facing.WEST:211                block = self._map.cell(b.x - 1, b.y)212                if block == Block.CROSSROAD:213                    self._map.update(b.x - 1, b.y, Block.T_RIGHT)214                elif block == Block.T_LEFT:215                    self._map.update(b.x - 1, b.y, Block.STREET_V)216            if not b.facing == Facing.SOUTH:217                block = self._map.cell(b.x, b.y + 1)218                if block == Block.CROSSROAD:219                    self._map.update(b.x, b.y + 1, Block.T_TOP)220                elif block == Block.T_BOTTOM:221                    self._map.update(b.x, b.y + 1, Block.STREET_H)222            if not b.facing == Facing.EAST:223                block = self._map.cell(b.x + 1, b.y)224                if block == Block.CROSSROAD:225                    self._map.update(b.x + 1, b.y, Block.T_LEFT)226                elif block == Block.T_RIGHT:227                    self._map.update(b.x + 1, b.y, Block.STREET_V)228    def _fix_hline(self, y: int, s: int, d: int) -> None:229        for x in range(s, d):230            if self._map.empty(x, y - 1):231                if self._map.empty(x, y + 1):232                    self._map.update(x, y, Block.STREET_H)233                else:234                    self._map.update(x, y, Block.T_TOP)235            else:236                if self._map.empty(x, y + 1):237                    self._map.update(x, y, Block.T_BOTTOM)238                else:239                    self._map.update(x, y, Block.CROSSROAD)240    def _fix_lane(self, path: List[Vertex]) -> None:241        u = path[0]242        for v in path[1:]:243            if v.x == u.x:244                self._map.update(v.x, v.y, Block.STREET_V)245            else:246                self._map.update(v.x, v.y, Block.STREET_H)247            u = v248    def _fix_path(self, path: List[Vertex]) -> None:249        u = path[0]250        for i in range(1, len(path) - 1):251            v = path[i]252            t = path[i + 1]253            if v.y > t.y:254                if v.x < u.x:255                    self._map.update(v.x, v.y, Block.CORNER_SW)256                elif v.x > u.x:257                    self._map.update(v.x, v.y, Block.CORNER_SE)258                else:259                    self._map.update(v.x, v.y, Block.STREET_V)260            elif v.y < t.y:261                if v.x < u.x:262                    self._map.update(v.x, v.y, Block.CORNER_NW)263                elif v.x > u.x:264                    self._map.update(v.x, v.y, Block.CORNER_NE)265                else:266                    self._map.update(v.x, v.y, Block.STREET_V)267            elif v.x < t.x:268                if v.y < u.y:269                    self._map.update(v.x, v.y, Block.CORNER_NW)270                elif v.y > u.y:271                    self._map.update(v.x, v.y, Block.CORNER_SW)272                else:273                    self._map.update(v.x, v.y, Block.STREET_H)274            elif v.x > t.x:275                if v.y < u.y:276                    self._map.update(v.x, v.y, Block.CORNER_NE)277                elif v.y > u.y:278                    self._map.update(v.x, v.y, Block.CORNER_SE)279                else:280                    self._map.update(v.x, v.y, Block.STREET_H)281            u = v282    def _fix_road(self, w: int, h: int) -> None:283        x = self._crossroads[0].x284        y = 0285        if randint(0, 1):286            while (287                self._map.cell(x, y) == Block.BLOCK and288                y < self._crossroads[0].y289            ):290                y += 1291            self._fix_corner_t2b(x, y)292            self._fix_vline(x, y + 1, h)293        else:294            y = h - 1295            while (296                self._map.cell(x, y) == Block.BLOCK and297                y > self._crossroads[1].y298            ):299                y -= 1300            self._fix_corner_b2t(x, y)301            self._fix_vline(x, 0, y)302        x = self._crossroads[1].x303        y = 0304        if randint(0, 1):305            while (306                self._map.cell(x, y) == Block.BLOCK and307                y < self._crossroads[0].y308            ):309                y += 1310            self._fix_corner_t2b(x, y)311            self._fix_vline(x, y + 1, h)312        else:313            y = h - 1314            while (315                self._map.cell(x, y) == Block.BLOCK and316                y > self._crossroads[1].y317            ):318                y -= 1319            self._fix_corner_b2t(x, y)320            self._fix_vline(x, 0, y)321        x = 0322        y = self._crossroads[0].y323        if randint(0, 1):324            while (325                self._map.cell(x, y) == Block.BLOCK and326                x < self._crossroads[0].x327            ):328                x += 1329            self._fix_corner_l2r(x, y)330            self._fix_hline(y, x + 1, w)331        else:332            x = w - 1333            while (334                self._map.cell(x, y) == Block.BLOCK and335                x > self._crossroads[1].x336            ):337                x -= 1338            self._fix_corner_r2l(x, y)339            self._fix_hline(y, 0, x)340        x = 0341        y = self._crossroads[1].y342        if randint(0, 1):343            while (344                self._map.cell(x, y) == Block.BLOCK and345                x < self._crossroads[0].x346            ):347                x += 1348            self._fix_corner_l2r(x, y)349            self._fix_hline(y, x + 1, w)350        else:351            x = w - 1352            while (353                self._map.cell(x, y) == Block.BLOCK and354                x > self._crossroads[1].x355            ):356                x -= 1357            self._fix_corner_r2l(x, y)358            self._fix_hline(y, 0, x)359    def _fix_street(self):360        for src in self._buildings:361            pathes = [362                self._map.find_path(src, dst) for dst in (363                    Vertex(src.x, self._crossroads[0].y),364                    Vertex(src.x, self._crossroads[1].y),365                    Vertex(self._crossroads[0].x, src.y),366                    Vertex(self._crossroads[1].x, src.y)367                )368            ]369            cost = len(pathes[0])370            index = 0371            for i, path in enumerate(pathes):372                if len(path) < cost:373                    cost = len(path)374                    index = i375                elif len(path) == cost:376                    index = index if randint(0, 1) else i377            path = pathes[index]378            self._fix_lane(path)379            src.facing = self._check_facing(path[0], path[1])380            self._fix_path(path)381    def _fix_vline(self, x: int, s: int, d: int) -> None:382        for y in range(s, d):383            if self._map.empty(x - 1, y):384                if self._map.empty(x + 1, y):385                    self._map.update(x, y, Block.STREET_V)386                else:387                    self._map.update(x, y, Block.T_LEFT)388            else:389                if self._map.empty(x + 1, y):390                    self._map.update(x, y, Block.T_RIGHT)391                else:392                    self._map.update(x, y, Block.CROSSROAD)393    def _on_axis(self, x: int, y: int) -> bool:394        on = True395        for v in self._crossroads:396            if x == v.x or y == v.y:397                break398        else:399            on = False400        return on401    def __repr__(self) -> str:402        return str(self._map)403if __name__ == '__main__':404    zone = Zone(19, 19)405    zone.publish()406    print(zone.mini_map())...

UniquePathII.py

Source:UniquePathII.py

1"""2A robot is located at the top-left corner of a m x n grid (marked 'Start' in the diagram below).3The robot can only move either down or right at any point in time. The robot is trying to reach the bottom-right corner of the grid (marked 'Finish' in the diagram below).4Now consider if some obstacles are added to the grids. How many unique paths would there be?5An obstacle and empty space is marked as 1 and 0 respectively in the grid.6Note: m and n will be at most 100.7Example 1:8Input:9[10  [0,0,0],11  [0,1,0],12  [0,0,0]13]14Output: 215Explanation:16There is one obstacle in the middle of the 3x3 grid above.17There are two ways to reach the bottom-right corner:181. Right -> Right -> Down -> Down192. Down -> Down -> Right -> Right20ä¸Unique Path ç¸æ¯å°±æ¯å¤äºä¸éçè·¯ï¼è¿ä¸ªåè¾¹çå¤ççæææ¯ä¸æ ·çãä¸è¿ä¸éæä½¿ç¨çæ°å1ï¼æä»¥é¢å¤çä¸ä¸ã21å¶ä»çä¸åä¹å¤ï¼22å¨1ä¸ä¼å° 0 0 åä¸º1ï¼ä½å¦ææ¤å¤ä¹ç´æ¥ä½¿ç¨çè¯ä¼é æä¸é¢æåµçéè¯¯ï¼23[[1]]æ¶é¢å¤çä¸º[['x']]ï¼ä½éåå¦æä¸åå¤çä¼ç´æ¥åä¸ºpathä¸º1ï¼ä½ç»ææ¯0ã24åæ ·çè¿æ[[1,0]]ï¼[[0,1]]25[0, 1]26[1, 0]27éè¦æ³¨æçç¹ï¼281. åªè¦å¤æå¼å§/ç»æç¹ä¸º 1 å¯ä»¥ç´æ¥è¿å 0ã292. å¦ææ¤ç¹ä¸éåä¸å¿è¿è¡æ¤ç¹çå åè¿ç®ã30ä¼åå°ç»ï¼311. å°½éé¿åå¤ä¸ªå¤æã32    if x + y == 0 and i + j == 0:33        _map[i][j] = 134    else:35        _map[i][j] = x + y36æ¯æ¬¡é½éè¦ä¸¤æ¬¡å¤æï¼37    if x + y != 0:38        _map[i][j] = x + y39    elif i + j == 0:40        _map[i][j] = 141æ¹æè¿æ ·æææ¯ä¸æ ·ç,ä½åå°äºæ¯æ¬¡æå¿é¡»è¿è¡çå¤ææ°éã42æ¹å¨åçæææåææ¾ï¼43ç¬¬ä¸ä¸ªå¹³åèæ¶ 36msã44ç¬¬äºä¸ªåªæ 24msã452. åå®æåä¼åã46ä¸è¦æ³å¤ªå¤ï¼åå®æåå¨ä¼åéåº¦ã47æå¼å§çåæ³æ¯ ä¸¤ä¸ªå¤æ + é¢å¤ç 1 + åªå¤æå¥å£ï¼èµ°å®äºåå¤æåºå£ã48è·éä¹åï¼åç°å¯ä»¥ç´æ¥å¤æåºå£æ¯ä¸æ¯ä¹ä¸º 1ã49ä¸¤ä¸ªå¤æä¹å¯ä»¥ç¼©ä¸º1~2ä¸ªã50é¢å¤ç1æ´æ¯ä¸å¿è¦ã51ä½å¦æåè¿æ¥ï¼æä¸è¿è¡é¢å¤ç 1ï¼ä¸ååä¸¤ä¸ªå¤æãåèµ·æ¥æ¯å¾é¾çï¼å¾å¤å¼èçå°æ¹é½æ¯æ¨¡ç³çã52ç°å¨è¿ä¸ªçæ¬å·²ç»å¯ä»¥äºï¼è¿å¯ä»¥ä¼åçå°æ¹ï¼53é¢å¤çç¬¬ä¸æ¨ªæåç«æï¼è¿æ ·å¯ä»¥ä¸éè¦è¾¹çå¤æï¼ä¹å°±ä¼åå°3~4ä¸ªå¤ææ°éã54æµè¯å°åï¼55https://leetcode.com/problems/unique-paths-ii/description/56beat 76%57"""58class Solution(object):59    def uniquePathsWithObstacles(self, _map):60        """61        :type obstacleGrid: List[List[int]]62        :rtype: int63        """64        65        if _map[0][0] == 1:66            return 067            68        if _map[-1][-1] == 1:69            return 070            71        72        n, m = len(_map), len(_map[0])73        for i in range(n):74            for j in range(m):75                if _map[i][j] == 1:76                    _map[i][j] = 'x'77                    continue78                    79                x = _map[i-1][j] if i - 1 >= 0 and _map[i-1][j] != 'x' else 080                y = _map[i][j-1] if j - 1 >= 0 and _map[i][j-1] != 'x' else 081                82                if x + y != 0:83                    _map[i][j] = x + y84                elif i + j == 0:85                    _map[i][j] = 186        return _map[n-1][m-1]87    # def uniquePathsWithObstacles(self, _map):88    #     """89    #     :type obstacleGrid: List[List[int]]90    #     :rtype: int91    #     """92        93    #     if _map[0][0] == 1:94    #         return 095    #     if _map[-1][-1] == 1:96    #         return 097            98    #     for i, d in enumerate(_map):99    #         for j, d2 in enumerate(d):100    #             if d2 == 1:101    #                 _map[i][j] = 'x'102        103    #     n, m = len(_map), len(_map[0])104    #     for i in range(n):105    #         for j in range(m):106    #             if _map[i][j] == 'x':107    #                 continue108    #             x = _map[i-1][j] if i - 1 >= 0 and _map[i-1][j] != 'x' else 0109    #             y = _map[i][j-1] if j - 1 >= 0 and _map[i][j-1] != 'x' else 0110                111    #             if x + y == 0 and i + j == 0:112    #                 _map[i][j] = 1113    #             else:114    #                 _map[i][j] = x + y...

sol2.py

Source:sol2.py

1with open("/home/rwr/advent/day8/input.txt", "r") as input_file:2    lines = input_file.read().splitlines()3    total = 04    for line in lines:5        signals, outputs = line.split(" | ")6        signals = sorted(signals.split(" "), key=len)7        print(signals)8        _map = {}9        _map[1] = signals[0]10        _map[4] = signals[2]11        _map[7] = signals[1]12        _map[8] = signals[-1]13        signals.remove(_map[1])14        signals.remove(_map[4])15        signals.remove(_map[7])16        signals.remove(_map[8])17        right = _map[1]18        mid_left = set(_map[4]) - set(_map[1])19        for s in signals:20            if len(s) == 6 and len(set(_map[4]) - set(s)) == 0:21                _map[9] = s22                signals.remove(s)23        for s in signals:24            if len(s) == 6 and len(set(s).intersection(mid_left)) == 1:25                _map[0] = s26                signals.remove(s)27        for s in signals:28            if len(s) == 6:29                _map[6] = s30        for s in signals:31            if len(s) == 5 and len(set(s).intersection(mid_left)) == 2:32                _map[5] = s33                signals.remove(s)34        for s in signals:35            if len(s) == 5 and len(set(s).intersection(right)) == 2:36                _map[3] = s37                signals.remove(s)38        _map[2] = signals[0]39        print(_map)40        for idx in range(len(_map)):41            _map[idx] = sorted(_map[idx])42        result = ""43        for o in outputs.split(" "):44            for idx in range(len(_map)):45                if sorted(o) == _map[idx]:46                    result += str(idx)47                    break48        print(f"{outputs} ", end="")49        print(result)50        print("--------------")51        total += int(result)...

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