ELF>(#@@<=>?@AEFGHKLOPQRUVWXYZ[\]^_`bcefhijklmnopqrsvwz{|}~HGHH9t-H)HH9}:HH9FtHH NH5H=AWAVAUATUSHHL$LD$dH%(H$1ۋY9YulHII׋F H\$Dc D9|qOugDu]HG0H+G(HHH…4@HDHHD$AtH H5H=H H5H=D Y(u ؙDAAW HD$@D$HD$LD$PEE E;OvEOMcMOLD$@D$HT$LDL$PFH "H5H=H )H5H= EAL\$MLD$`D$hT$lD$pAAE8QH9u H|$G H7H$$$$@Dž@@8SHQ Ht$ H$M ؙ$H$H$$$$@ƅ@8HL$@H$H|$` Apo(IPL;l$LHM(UA~HD$ D$(D$,D$0E…4E+#B A;V AvHcHHHIHD$ |$(Dd$,t$0>H "H5H=H )H5H=H AH5H=H AH5H=D$(t$,HT$ H$$$$8t:x6x2HL$@H$H|$` Apo(hH AH5H=QLD$,HDŽ$DŽ$DŽ$DŽ$tDt@x~xz ;L$(qHcHL$ HH$$$D$0$ uH$H$o$H "H5H=H )H5H=H AH5H=H$dH3%(uH[]A\A]A^A_AWAVAUATUSHH$D$HL$dH%(H$1ۋY9YuwHIMNjF H$Dc D9|}OusDuiHG0H+G(HHH…G@HDHHD$ADD$vH H5H=H H5H=D Y(u ؙDAAW HD$@D$HD$LD$PEE E;OzEOMcMOLD$@D$HT$LDL$PFH "H5H=H )H5H= EAL$MLD$`D$hT$lD$pAAE8QH9u H|$G H7H$$$$@Dž@@8[HQ Ht$ H$M ؙ$H$H$$$$@ƅ@8H$Ht$`H|$@ AopD$IPL;l$LHM(UA~HD$ D$(D$,D$0E…2|$'B A;V AvHcHHHIHD$ |$(Dd$,t$0:H "H5H=H )H5H=H AH5H=H AH5H=D$(t$,HT$ H$$$$8t=x9x5H$Ht$`H|$@ AopD$cH AH5H=QLD$,HDŽ$DŽ$DŽ$DŽ$tDt@x~xz ;L$(qHcHL$ HH$$$D$0$ uH$H$oH "H5H=H )H5H=H AH5H=H$dH3%(uH[]A\A]A^A_AWAVAUATUSHHT$HL$L$dH%(H$1ۋY9YumIIH$@ H\$Dk D9|qOugDu]HG0H+G(HHH…@HDHHD$AH aH5H=H jH5H=D K(At$ șDCAW HD$PD$XD$\D$`E80(E E;OEOMcMOLD$PD$XT$\DL$`FH "H5H=H )H5H= AT$AEL\$M LL$pT$xDD$|$EA…AE8E{Hu9H|$W H?H$$$$AAE8UMEH$$$$@ƅ@80( HL$PHt$pH$fAoo{HHC0H9C8OH$Ht$0Dl$$Ld$(IIHHHLLHHC0HK8H)HH9rDl$$Ld$(H "H5H=H )H5H=H AH5H=H AH5H=H AH5H=D$8t$H "H5H=H )H5H=ECD9-D)D9AODEs|$։AHD$@D$HD$LD$PEe]ET< ;} HDMIcHLcIH}H|$@DD$HT$LDL$PA|$HD$`D$hD$lD$p@ƅ@A;T$ ED$IcHHcHI $HL$`|$hD$lDD$pH|$ HL$ MLHHH|$ AWAVAUATUSHHIdH%(H$81q;qHIH͋RA;T$GA;E O{A;|$  C 9Du KD։C9D9D DHUH$$$$@ƅ@81)!H$LLHH$8dH3%(HH[]A\A]A^A_H H5H=H H5H=H H5H=H H5H=H$AH HHH{ H5H$H$HH$HH AH5H=S sHD$ D$(D$,D$0H|$ AD{E9zEqKDAօuCDANjCs)Ɖt$5Ht$@Ht$H$Ht$Ht$`Ht$H H5H=D u_A|$HD$`D$hD$lD$p@ƅt@uz_H )H5H=H "H5H=H )H5H=HH|$ H u|T$(HDŽ$DŽ$DŽ$DŽ$tf@ua9D$,HL$ H$$$D$0$#H "H5H= uLD$HL$HT$LHZ>H "H5H=H )H5H=ECD9-D)D9AODEs|$։AHD$@D$HD$LD$PEe]ET< ;} HDMIcHLcIH}H|$@DD$HT$LDL$PA|$HD$`D$hD$lD$p@ƅ@A;T$ ED$IcHHcHI $HL$`|$hD$lDD$pH|$ HL$ ILLHH|$ AWAVAUATUSHHH$dH%(H$81v;u HII͋RA;T$G;A O{A;|$ C 9Du KD։C9D9DDHUH$$$$@ƅ@86.&H$L$LHH$8dH3%(HH[]A\A]A^A_H OH5H=H PH5H=H RH5H=H UH5H=H$A^H HHH{ H5H$H$HH$HH AH5H=S sHD$ D$(D$,D$0H|$ AD{E9EvKDAօuCDANjCs)Ɖt$:H$Ht$Ht$`Ht$Ht$@Ht$H vH5H=D u_A|$HD$`D$hD$lD$p@ƅt@uzdH )H5H=H "H5H=H )H5H=HH|$ H u|T$(HDŽ$DŽ$DŽ$DŽ$tf@ua9D$,HL$ H$$$D$0$#H "H5H= u!MHL$$HT$Ht$H)>H "H5H=H )H5H=ECD9-D)D9AODEs|$։AHD$@D$HD$LD$PE`XEO< ;} CDMIcHLcIH}H|$@DD$HT$LDL$PA|$HD$`D$hD$lD$p@ƅ@A;T$ ~ED$IcHHcHI $HL$`|$hD$lDD$pH|$ HL$ M$LHHH|$ AVAUATUSDEu []A\A]A^HHGxD` Hhh DkDDCssC AřHK DCEċ{D9~D)u^ȉC DcCCD{ WS9|P9])Љu\șC CCqH 9H5H=H DH5H=H GH5H=AWAVAUATUSHIIHWHH9tHIHHH9tdx98H H5H=H H5H=H H5H=A$HEH+EHIǻHv[HE4+tHI9uAEt@HEHA+$AA+$A}pH[]A\A]A^A_AEHEH+EH(AATUSH@HIHdH%(HD$81H$HD$HD$HHD$H$H9tCH)HH8HD$ HD$(HD$0Ht$ L$H H5H=HZHt$(H|$ H$HH)HHT$H)HH9tGH H5H=HH|$ HtH<$HtHH99uHH9OuHHH99 uH9Jt{HK HSHsH|$ KHt$ LHKHSHsH|$ (CH|$ HtH<$HtHD$8dH3%(u[H@[]A\HH|$ H%HtHD$ HD$(HD$0Ht$ H8ATUSIHHHA$HAT$HAT$HAT$ HAT$HAT$HAT$HAT$HHH[]A\ÐAWAVAUATUSHxIHT$dH%(H$h1DHDHHDHADHHDHAWDHHDHAWDHHDHAW DHHDHAWDHHDHMw M+wLHHIHH9w LHHItHt@IIWIG H)HHHt ‰LLLHH9u|$D$$Ht$$H AI)IDt$(IcI9uHt$(HH eH5H=D$(ujHH@D Mw8MoHM9LAHII9uLM|H?I90H,HHHH|H5HI9tqIHD$&HD$HD$%HD$FD$&,Ht$HH $qHD$% Ht$HIM9tL,$AuH먺H5HH|$0A}H HH|$PH5Ht$0H|$,HH|$PHtHHHH$M9tCL<$AE AILII9uHDHH$AL<$ր|$D$'Ht$'HL+<$ID|$,IcI9uHt$,H'H H5H=HD$,u)HH@D HDHHHH4$H뿺H5HH$L9t3IL5LHIM9tAuHٺH5HVH$AH HH$H5H$H|$,HH$H$HHH$HtHHtHH$hdH3%(uHx[]A\A]A^A_H$AWAVAUATUSHIHHHHHAHAVHHHAVHAV HHHAVHAVHHHAVHHHAVHAV HMf0M+f(IHLHHDHEAD$HDHHD$AL=MMf(LHA$HHHAT$HHHIT$HIPL;l$uHHH[]A\A]A^A_ATUSIHHHLHIT$HIT$HIT$ HIT$HIT$HIT$HIT$HHH[]A\AWAVAUATUSHdH%(HD$x12H%DGE DOwA9 Eu} t"9} H](HE0H)HHH‰D$4A)DL$8DDD$<*A9@Ɖ@ @t$=NЉT$0IЉT$ CT$$T$H$D$HD$@HD$(AD|$:H _H5H=H aH5H=H dH5H=H eH5H=H pH5H=H vH5H=H xH5H=H4$XHt$@9CLujLSHCL)HDuHcK(IcHH9uf…A|sM9}lEID\$$Dd$DAH\$Hl$H |H5H=H }H5H=H H5H=EIcAoHHI9tC D$LLH|$8HD$(H9AAEOgAoIH|$p"H5H|$pH|$p"H5Ht$PH|$HH|$pH|$ Ht$0HH|$ Ht$0H$dH3%(umH[]A\A]A^A_HHL9t_ 9|DAG 9} )AtH|$PAPH HUHAWAVAUATSHIHdH%(HE1LPIpHH@HHEEEHEHEHEHEHL`LPLpID$LPHPLHxHHPHPH@@HHH@HXHDž`HDžhHDžpHDžxHDžHDžI@HH@HXDžIG`HHDžƅIwIpHHH@HXHHH9tHH@HXHLPID$LPHH@HHHHHPH5HP3IƺH5HsLIƺ H5HsLIƺ H5Hs LIƺH5HsLH5HHDžHCH9C LPLH HHL$HC4Lƅ,LHHSBt"HHHHC H+CHH9s*Htƅ HLpHPH5HCHHLs8L9t^LPLHp LHHL9t&HH9CHtƅ,LLHP H53sHPIƺ H5Hss LI]I]IEAEHHHpH9H0HWH0HjHHxHI}H0H@H96H9IUIEH8IEH@IEHH0H@HDž8H0H0H@H9tHHPHPH@@HHH@HXHHH9tHH@HXHPH{@HHPHPHRH@HPHH@HH{pLH]dH3%(He[A\A]A^A_]H8HtHu!@H8IEIUH@HHGHHjHxHI}HH H9ttH9IUIEHIEH IEH HH HDžHHH H9KAHHtHu HIEIUH HLII}H9tLHPHHIEH8IEH@IEH@H0hIEHIEH IEH HAWAVAUATUSHHdH%(H$81~>HAAAՋW~+O~$w ~DGE~H LKL9tH{XuPH$AH HHH{ $H5H${$$$$D$L)HHHHDŽ$HDŽ$HDŽ$HHH9IL$L$I(size_t)vecsz == v.size()[ ] temp_rows % num_images == 0h >= -1 && h < height_incolumns.size() <= temp_cols!all_negativec < int32(columns.size())num_t_values == 1vector::reservenum-filters-in=, num-filters-out=, height-in=, height-out=, height-subsample-out=, {time,height}-offsets=[], required-time-offsets=[], input-dim=, output-dim=for the The input at the 'th height is never used.(time,height) offset (,IsSortedAndUniq(offsets)!model.offsets.empty()io->num_t_out == 1Check(false, true)!steps.empty()j >= -1 && j < input_dimc >= 0m < ratioio.t_step_in == io.t_step_outio.reorder_t_in == 1temp_mat->Stride() == temp_mat->NumCols()output_rows <= input_rows && input_rows % cc.num_images == 0 && output_rows % cc.num_images == 0num_rows == 0 && num_cols == 0row_offset >= 0 && col_offset >= 0 && num_rows >= 0 && num_cols >= 0 && row_offset + num_rows <= mat.num_rows_ && col_offset + num_cols <= mat.num_cols_(num_rows != 0) == (num_cols != 0) && stride >= 0 && num_rows >= 0 && num_cols >= 0 && stride >= 0Memory consumed in convolution is more than requested (maybe very long time sequence?)input.NumCols() == input.Stride() && output->NumCols() == output->Stride()params.NumRows() == cc.num_filters_outoutput->NumRows() == cc.num_t_out * cc.num_images && output->NumCols() == cc.height_out * cc.num_filters_outinput.NumRows() * input.NumCols() == cc.num_images * cc.num_t_in * cc.height_in * cc.num_filters_incc.temp_rows % cc.num_images == 0input_deriv->NumCols() == input_deriv->Stride() && output_deriv.NumCols() == output_deriv.Stride()output_deriv.NumRows() == cc.num_t_out * cc.num_images && output_deriv.NumCols() == cc.height_out * cc.num_filters_outinput_deriv->NumRows() * input_deriv->NumCols() == cc.num_images * cc.num_t_in * cc.height_in * cc.num_filters_ininput.NumCols() == input.Stride() && output_deriv.NumCols() == output_deriv.Stride()params_deriv->NumRows() == cc.num_filters_out(io->start_t_in - first_desired_input_t) % io->t_step_in == 0last_desired_input_t >= last_input_t(last_desired_input_t - last_input_t) % io->t_step_in == 0!t_values.empty() && IsSortedAndUniq(t_values)(last_value - *start) % *step == 0Write failure in WriteIntegerPairVector.Write failure in WriteIntegerVector.num_filters_in > 0 && num_filters_out > 0 && height_in > 0 && height_out > 0num_t_in >= num_t_out && num_t_out > 0 && num_images > 0(temp_rows == 0 && temp_cols == 0) || (temp_rows <= num_t_out * num_images && temp_cols > 0)step.input_time_shift >= 0 && step.input_time_shift <= num_extra_input_timesstep.params_start_col >= 0 && step.params_start_col % num_filters_in == 0step.input_time_shift != steps[s-1].input_time_shiftstep.first_column == columns[0]step.columns.Dim() == step.height_map.size() * num_filters_incolumns[i * num_filters_in + f] == -1columns[i * num_filters_in + f] == h * num_filters_in + fcontiguous == step.columns_are_contiguousint32(backward_columns.size()) == num_filters_in * height_incolumns_reconstructed[c] == -1columns_reconstructed == columnssmallest_time_shift == 0 && largest_time_shift == num_extra_input_times(temp_cols != 0) == temp_mat_requiredreorder_t >= 1 && num_t_values % reorder_t == 0 && t_step >= 0indexes->size() == num_n_x_pairs * num_t_valuesio.num_t_in > 0 && io.num_t_out > 0 && !model.required_time_offsets.empty() && !model.all_time_offsets.empty()io.start_t_in >= io.start_t_out + *model.all_time_offsets.begin()last_t_in <= last_t_out + *model.all_time_offsets.rbegin()Error checking model and IO: time is required but not in the input.Convolution model fails basic check.Derived variables are incorrect.Required time offsets not a subset of all_time_offsets.height padding not allowed but is required.'th output height, no input is available, if only required time-indexes are available.) of this computation is never used.model_padded->Check(false, false)io->t_step_out % io->t_step_in == 0time_step_out == io_appended->t_step_in && time_step_out != 0orig_time_step_in * ratio == time_step_outio->start_t_in - io->start_t_out == first_time_offset(old_offset.time_offset - new_offset.time_offset) % orig_time_step_in == 0model_appended->Check(false, false)n_x_pairs.size() == io.num_imagesstep.height_map[h] >= -1 && step.height_map[h] < height_intemp_cols == largest_required_temp_colsold_computation_height_in % model_padded.height_in == 0 && computation->height_out == model.height_outmodified_time_offset >= 0 && modified_time_offset % t_step == 0step.input_time_shift <= num_t_extrah_in >= 0 && h_in < model.height_inIsSortedAndUniq(model.offsets)%5@}x+)`c )`c )`h #>,*?  >%-L+ddNC8f+BNm!{x+x/  $  X $ C+6! Fx ynQ2x+x$ vg    +=;v4g  >   O<f+B N Sa   ! 3Ee4 7QafqAS Uf8*x)/}0  E:/   }Dd}             }=4C   R0`USH8HdH%(HD$(1HHHHs(HHHH@HEH<$HD$H9tHH5HHH<$HD$H9tHHHATUSHHGHH9tIHSH)HH HHH!HD@L$ HL9tH;HtH}Ht[]A\../base/kaldi-math.hUndefined GCD since m = 0, n = 0.SHdH%(H$1t.t*ׅօu1) tug1)rH\$A+H HHH{ H5Ht$H|$HH|$0H1) 1)H$dH3 %(u Hİ[ ../base/io-funcs-inl.hWrite failure in WriteBasicType.SHHT$ dH%(H$1@tJHt$ HHH@D u?H$dH3%(H[Ët$ H5HH\$ A2H HHH{ H5Ht$ H|$HH|$@HAUATUSHHHdH%(H$1@D$ Ht$ HCH+HD$ HcH9u8Ht$ HD$ HHH3HH H5H=H5HLcI9t;HHI)IIL-3HLHHL9uݺH5HHEH@D u!H$dH3%(uhHĸ[]A\A]H\$AH HHH{ H5Ht$H|$ HH|$0HReadBasicType: encountered end of stream.ReadBasicType: did not get expected integer type, . You can change this code to successfullyRead failure in ReadBasicType, file position is vs. read it later, if needed., next char is ATUSHHHdH%(H$1@*Aăt<uoHH H\$A?H HHH{ H5Ht$H|$HH|$0HH\$ADH HHH{ H5AH|$0H|$0H5H|$0H|$0H5H|$0H5Ht$H|$HH|$0HHHH@D u#H$dH3%(Hİ[]A\Hl$AVH HHH} H5HH|$0HH|$0H5HH|$0Ht$H|$HH|$0HAVAUATUSHH9ILvL.LL)HHH?HCH)HH9rGHSH)HHH9IDI9H{HH+3I4$IT$H9tTH)JHt]HH9wIHIM9tHLLM,,H;HtL#LkH+HkH[]A\A]A^AM9tHLLUUSHHHHtHHHuHEHH}HEHEH}H0H9tH[]St HH?HtH=tC[ÿATUSIHHt HsLHkHHHu[]A\SHHwpH`Hs@H{0H{Ht[vector::_M_realloc_insertAWAVAUATUSHHH4$IHHGH)HHt?L<L9H?I9III)Mt I9v L4$MI)AJ<HItA$AL#MM)M9tLLHNt5HCHL)HL$L9tHH4$LLt$MtLH+LsJDHCH[]A\A]A^A_L4$MI)I?Vvector::_M_default_appendHlHOHWH)HHHH9r=HH HHtHtHH@H@HvHHGAWAVAUATUSHHt$HHH+IIHLH L)H9wHHD$L9IMBMrEH I9w6Mt=I9w'KH@HHuL;HSL9tL)LLMtLL3Jt-IHCKHCH[]A\A]A^A_H=IdAiAVAUATUSHH9ILvL.LL)HHH?HCH)HH9rGHSH)HHH9IDI9H{HH+3I4$IT$H9tTH)JHt]H?H9wIHIM9tHLLM,,H;HtL#LkH+HkH[]A\A]A^AM9tHLLUHGHt_HVHHWHFHGHVHWHFHG HV HW HF HGHWHPHFHVHPHG(HV(HW(HF(H~tFGHFHGHVHWHV HW HWHPHF(HG(HFHFHFHF HF(ËGFHGHFHWHVHW HV HVHPHG(HF(HGHGHGHG HG(HBHOHWH)HH9rHHHHuHHGAWAVAUATUSHHHH+IIIH?L)H9L9MLCMH?I9MI9J<IK>HHHuL;HSL9tL)LLMtLL3Jt-IHCKHCH[]A\A]A^A_H=I?kApv != NULL, saw instead , at file position ReadIntegerVector: expected to see type of size ReadIntegerVector: expected to see [, saw ReadIntegerVector: read failure at file position AUATUSHdH%(H$1HHI@ŃHHt$HHH@D t$HcI$ID$H)HH9H9s HID$D$HH@D xH$dH3%( H[]A\A]H H5H=Ld$0AH HLI|$ H5H|$PH|$PH5H|$PH|$PH5HH|$PHHt$0H|$HH|$PHH)LHHI4$HHD$HD$HD$ H[u HH|$0AH HH|$PH5HH|$PH|$PH5HH|$PHHt$0H|$ HH|$PH|$HtHHHl$ Ll$G]HHHHH@D u4Ht$H;t$ tHtD$ HD$HHLH|$HtHl$0AH HHH} 1H5-HHt$LH|$H HH|$PHHt$0H|$HH|$PHH../cudamatrix/cu-array-inl.hcudaError_t : "" returned from ''CuArray::CopyToVecD2HcudaMemcpyAsync(&dst->front(), Data(), this->dim_ * sizeof(T), cudaMemcpyDeviceToHost, cudaStreamPerThread)cudaStreamSynchronize(cudaStreamPerThread)USHHHdH%(H$1HHFH)Hw9u'{uEH$dH3%(H[]HcH9wH9sHHEH)HfH=ffH8H8`H8HcSHAH3H}ÅÅ8fH=ffH8H\$fH=ffHHH5HfH=ffHHH/H=IAHHtHt@HuH}H9tLHHtHH HHH9uHtLuLIHEKHEH[]A\A]A^A_AWAVAUATUSHIHHILiMIEHAHL;htMH@ItC AE AEIEIEImHsHupHkHMH@HAHPHtHQHBHuHHID$HPHuH@HvID$lH`LLLIEyH@ID$HPHtdata_, 0, this->dim_ * sizeof(T), cudaStreamPerThread)CuArray::SetZeroUSHdH%(H$1u!H$dH3%(H[]HfH=ffH8H8H8HcSHH;ÅuzfH=ffH8H\$fH=ffHHH5H4fH=ffHHYH|$HwfHl$0AH HHH} H5H|$PH|$PH5H|$PHH|$PH5H|$PH5H|$PH5Ht$0H|$HH|$PHfH=ffHHHcSHH;(resize_type == kSetZero || resize_type == kUndefined) && dim >= 0Memory allocation failed when initializing CuVector CuArray::Resizewith dimension object size in bytes: AUATUSHdH%(H$1x;HAԃw.9wuOtDH$dH3%(H[]A\A]H ,H5H=tfH=ffH8H8H8fH=ffH8HcL,H8LH=ILm]EMfH=ffH8<Ll$fH=ffHLH5H]EHfH=ffHH H|$HwfH=ffHHHHH$D$H=tHHuD$LH=Iŀ|$H<$HH=HÀ|$tHHHfH=ffHHHcHHEHHl$0AGH HHH} H5H|$PH5H|$PH|$PH5H|$PHt$0H|$HH|$PHcudaMemcpyAsync(this->data_, &src.front(), src.size()*sizeof(T), cudaMemcpyHostToDevice, cudaStreamPerThread)USHHHdH%(H$1HvH+3HHCH9fH=ffH8H8{H8H3HSH)AH}ÅÅTfH=ffH8H\$fH=ffHHH5HH$dH3%(H[]fH=ffHH!H|$Hw.Hl$0AH HHH} H5H|$PH|$PH5H|$PHH|$PH5H|$PH5H|$PH5Ht$0H|$HH|$PHHl$0AH HHH} H5H|$PH|$PH5H|$PHH|$PH5H|$PH5H|$PH5Ht$0H|$HH|$PHfH=ffHHH3H}HSH)basic_string::_M_construct null not validATUSHHIdH%(HD$1H9tHtHHL)H$HwDH}HtXHu\H$HEHUHD$dH3%(uIH[]A\H=HHHEH$HEA$HLATUSHHIdH%(HD$1H9tHtHHL)H$HwDH}HtXHu\H$HEHUHD$dH3%(uIH[]A\H=HHHEH$HEA$HLAWAVAUATUSHIHHIϿ(IHtC AD$ A$ID$ID$Il$HsHuHkHMVLLLID$HHtE C EHCHCI]LkHuHuHmIHtH(LHLHCHLLHHLH[]A\A]A^A_AWAVAUATUSHHHIIHHGH)HHtQL4L9HI9HH)HD$MtHI9v#A&MhHH)HD$AJ<IHD$LtIHH}H9tLHHtHH HHI9uHWH)HMlIHuH9t.HLHtHH HHH9uHH)HMlHtLeLmKHEH[]A\A]A^A_HH)HD$I+ReadIntegerPairVector: expected to see type of size ReadIntegerPairVector: expected to see [, saw ReadIntegerPairVector: expected to see ',', saw ReadIntegerPairVector: read failure at file position AWAVAUATUSHdH%(H$1HHI@ŃHHt$HHH@D t$HcIUIEH)HH9 H9sHIED$HH@D kH$dH3%(H[]A\A]A^A_H H5H=Ld$0AH HLI|$ 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