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H5H=HD$0B9\ ~l$,LLHH9,$L$HD$0D../matrix/kaldi-vector.hin.NumCols() == input_dim_../cudamatrix/cu-matrix-inl.hUsing non-NG update, lr = Using NG update, lr = input_dim_ > output_dim_input_dim_ % output_dim_ == 0to_update != NULLcomponents, it does nothing.../cudamatrix/cu-vector.hmat.NumCols() > 1scales.Dim() != 0bias.Dim() != 0this->IsUpdatable()cur_offset == params->Dim()cur_offset == params.Dim() , sub-component = { }falsetrue, dim=, norm-based-clipping=, clipping-threshold=, clipped-proportion=, self-repair-target=, self-repair-scale=token == ""token == "", out_deriv sum is , out_deriv has bad rows.mat.NumCols() >= 2SameDim(out_value, out_deriv)!components.empty()Bad num-components , column-map=[ ... ]dim > 0column_map.size() > 0indexes[i].first == 0linear-paramsbias, num-repeats=, num-blocks=, orthonormal-constraint=, rank-in=, rank-out=, num-samples-history=, update-period=, alpha=, rank=, block-size=scalesoffsets, offsets-min=, offsets-max=, block-dim=, use-natural-gradient=>token == ""input-dimoutput-dimInvalid values input-dim= output-dim=scalevectordimInvalid dimension dim=param-meanparam-stddevblock-dimInvalid value block-dim=use-natural-gradient: ""dropout-proportiondropout-per-frametest-modebackprop-scaleclipping-thresholdnorm-based-clippingself-repair-targetself-repair-scalematrixbias-stddevorthonormal-constraintBad initializer num-repeatsbias-meannum-blocksInvalid block-dim: rankis-updatableoutput-meanoutput-stddevnum-samples-historyalpharank-inrank-outupdate-periodparams_.NumRows() != 0mat.NumRows() != 0column-map,max-rows-processnum-componentscomponentExpected '' to be defined in typeNested line: '' , backprop-scale=, scale=, dropout-proportion=, dropout-per-frame=, scales-min=, scales-max=!sizes.empty()sizes[i] > 0input_dim % num_groups == 0sizesHHHHHHHHHHHHH@HHSHHH@HH[SHHHRHSPC @ [SHHHRHSPC @ [out->NumRows() == in.NumRows() && out->NumCols() == in.NumCols() && in.NumCols() == dim_dropout >= 0.0 && dropout <= 1.0static_cast(i) < static_cast(num_rows_)in_value.NumRows() == out_value.NumRows() && in_value.NumCols() == out_value.NumCols()in_value.NumRows() == out_deriv.NumRows() && in_value.NumCols() == out_deriv.NumCols()other != NULL && other->components_.size() == components_.size() && "Mismatching nnet topologies"uc != NULL && uc_other != NULLinput_dim > 0 && output_dim > 0params->Dim() == this->NumParameters()params.Dim() == this->NumParameters()to_update && to_update->is_updatable_out->NumRows() == in.NumRows() && out->NumCols() == output_dim_ && in.NumCols() == input_dim_bias_params_.Dim() == linear_params_.NumRows()static_cast(origin)+ static_cast(length) <= static_cast(t.Dim())num_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 >= 0in.NumCols() == in.Stride() && out->NumCols() == out->Stride() && out->NumRows() == in.NumRows()out_deriv.NumCols() == out_deriv.Stride() && in_value.NumCols() == in_value.Stride() && in_value.NumRows() == out_deriv.NumRows()out->Stride() == out->NumCols()out_deriv.NumCols() == out_deriv.Stride() && (in_value.NumCols() == 0 || in_value.NumCols() == in_value.Stride()) && (!in_deriv || in_deriv->NumCols() == in_deriv->Stride())multiple == 1 || out_deriv.Stride() == out_deriv.NumCols()input_dim_ > 0 && output_dim_ > 0 && input_dim_ % output_dim_ == 0input_dim_ > 0 && output_dim_ >= 0self_repair_scale_ > 0.0 && self_repair_scale_ < 0.1Do not set the self-repair-upper-threshold for sigmoid clipping_threshold >= 0 && dim > 0 && self_repair_clipped_proportion_threshold >= 0.0 && self_repair_target >= 0.0 && self_repair_scale >= 0.0self_repair_target_ >= 0.0 && self_repair_scale_ > 0.0)'s self-repair was activated as the first time at the -th call of Backprop() in this training job.linear_params.NumRows() == bias_params.Dim()&& bias_params.Dim() != 0output_dim > 0 && input_dim > 0 && param_stddev >= 0.0input_dim % num_repeats == 0 && output_dim % num_repeats == 0input_dim > 0 && output_dim > 0 && num_blocks >= 1output_dim % num_blocks == 0 && input_dim % num_blocks == 0param_stddev >= 0.0 && bias_stddev >= 0.0dim > 0 && param_stddev >= 0.0bias_params.Dim() == linear_params.NumRows() && bias_params.Dim() != 0static_cast(i) < components_.size(), self-repair-clipped-proportion-threshold=token == ""token == ""token == ""Expected token , got NaturalGradientAffineComponent>Expected or , got Preonditioning failed, in_value sum is in_deriv->NumCols() == dim || in_deriv->NumCols() == block_dimin_deriv->NumCols() == in_deriv->Stride()in.NumCols() == in.Stride() && SameDimAndStride(in, *out)out_value.NumCols() == out_value.Stride() && SameDimAndStride(out_value, out_deriv) && (!in_deriv || SameDimAndStride(out_value, *in_deriv))in.NumRows() == out->NumRows() && in.NumCols() == InputDim() && out->NumCols() == OutputDim()in_value.NumRows() == out_deriv.NumRows() && in_value.NumCols() == InputDim() && out_deriv.NumCols() == OutputDim()components_[i]->Properties() & kSimpleComponentcomponents_[i]->InputDim() == components_[i-1]->OutputDim()Expected token , got Column map does not represent a permutation.indexes[i].first == indexes[i-1].secondindexes[i].second > indexes[i].firsttoken == ""token == ""input-dim and output-dim must both be provided.Could not process these elements in initializer: 'dim' not provided in the config line.Invalid initializer for layer of type self-repair-clipped-proportion-thresholdinput_dim == InputDim() && "input-dim mismatch vs. matrix."output_dim == OutputDim() && "output-dim mismatch vs. matrix."input_dim % num_repeats == 0 && "num-repeats must divide input-dim"output_dim % num_repeats == 0 && "num-repeats must divide output-dim"dim == InputDim() && "input-dim mismatch vs. vector."Dimension 'dim' must be specified and >0: output_dim > 0 && input_dim > 0 && param_stddev >= 0.0 && bias_stddev >= 0.0Bad initializer in PermuteComponent: column-map=Expected num-components to be defined in CompositeComponent config line 'Could not parse config line for '(or undefined or bad component type [type=xxx]), in Found CompositeComponent nested within CompositeComponent.Toplevel CompositeComponent line 'CompositeComponent contains disallowed component type: Expected , got "Y-Z6-R-)d3 08v@H!@H!@HG@H!kV&~*R.9; #.\w.9Z #.\w.9Z.9Z #.\w #1 #1 #1 #1 #15=Q 5=Q 5=Q 6t$P"&ae5@}x+ -4B #1 -4B'+%~ t{@ J^ ) ` \  L  ?s>'+%W (V| #1Ud (Vx #1 (/V #1 (Vx #1$VE& #1 Bahv #1Hv #1.(e'+X&Y`o Hho} #13B]& (;B~ #1 )L_f #1G^mz, .Qdr (/M #1 #14@)u%-L+ddNBh3W&}}3L(e";9,E: C Cv %x+x/ j T  +9oC +9o.%q>5 5v"3 3Q( bFf54 $ $ $ X g$$ $ ^ $$$ns{x+x'@/)TFx ynQ2x+x*x,s pC8f+BNm!{x+x 9-c#=]v_=]v_=]v=]v=]v=]v@@'@'@_)@'@57Cc (*/5     ; ,    .9/+=]vEA=]v}P53zLMqjx0Eq0E0 7 /' /'   , * %  D    Tcf6X|u[?+IeP?+S6X|u[?+0QdXA'K^Vl      ? +[-   T g !   o    ,  iD3    q  e 0 ,  xd~  ? 'U     ? ' ~dO- j ,  i _%1d,\  ,   v1Y}vP   E , ? n K0 F  $  ,              KD F F T $  , i            f jd  M  ? +O   E   ? +  f      ? +         ? +  " ud~   ? +    ? + v|?+           ? + Ed~;2/?+j  F '!   !*!!Y!+!#9!!Y!+N!F!Y!+!!3!!L!! (5     5     / )   ) w  *   5 _    *   Fx ynQ2x+x'Fll2T^e  R  ? +   E   ? + *xSHHH@HH8H{ [SHHH@HH8H{ H[SHHH@HH8H{ [SHHH@HH8H{ H[HHH@HH HSHHH@HH H[HHH@HHHSHHH@HHH[HHH@HHHSHHH@HHH[SHHH@HH H{[SHHH@HH H{H[SHHH@HH8H{ [SHHH@HH8H{ H[SHHH@HH8H{ H{H[SHHH@HHxH{XHH@HH{ [SHHH@HHHHH{hH{ [SHHH@HHHHH{xHH@HH{8H{ [SHHH@HHH{`H{ [SHHH@HHHHH{pH{0H{ [SHHH@HHH{`H{ [SHHH@HHH{xHH@HH{8H{ [USHHpHHHHHHHH@HHH[]USHHpHHHHHHHH@HHH[]USHHpHHHHHHHH@HHH[]USHHpHHHHHHHH@HHH[]USHHpHHHHHHHH@HHH[]SHHH@HHxH{XHH@HH{ H[SHHH@HHH{`H{ H[SHHH@HHH{`H{ H[SHHH@HHH{xHH@HH{8H{ H[SHHH@HHHHH{hH{ H[SHHH@HHHHH{xHH@HH{8H{ H[SHHH@HHHHH{pH{0H{ H[SHHH@HH8H{ H{[SHHH@HH8H{ H{[SHHH@HH8H{ H{[SHHH@HH8H{ H{[SHHH@HH8H{ H{[SHHH@HH8H{ H{H[SHHH@HH8H{ H{H[SHHH@HH8H{ H{H[SHHH@HH8H{ H{H[../nnet3/nnet-simple-component.hClipGradientComponent(node_name=)'s self-repair was activated times of calling Backprop() in this training job. time(s) out of ATUSHHdH%(H$1HH@HH5H{ H0H9tH$dH3%(OHĠ[]A\IA\H HLIl$ H5HHS(Hs HH5HsHHH5HsLH2H5HLHHPHT$ H@@H$HH@HD$(H|$pIL9tHH@HD$(HH}`HHPHT$ HRH@HD HH@H$HSHH[USH8HdH%(HD$(1HHHHs(HHHH@HEH<$HD$H9tHH5HHH<$HD$H9tHHHUSHHHËU uHH@HHHHHHH[]USHHHËU uHH@HHHHHHH[]UHAVATSHHPIIƋCLDKHDCDK@[SKSC sH=HI:IZ0IZ IB(AB0HPL!II~ H9tLLHLHe[A\A^]USHHHHHHHHHH[]AVAUATUSHAH_(Lw HcL$IHHHuL;HSL9tL)LLMtLL3Jt-IHCKHCH[]A\A]A^A_H=I?kApout != NULL../util/text-utils.hAUATUSH8dH%(HD$(1Ht:HH8uNHHAADHL$(dH3 %(H8[]A\A]H JH5H=HD$HD$HD$ HL$Ht$H+t$HHUHEH)HH9H9sHHEHT$H9T$Ld$HHL,HD$ LLHT$L9tF:uAHcH9unHUHHT$HD$H)HH9rAH)HrHEHEAHl$H\$H9u3H|$HHEHEAH H9tH;HCH9tHLd$H\$I9tH;HCH9tH H|$HtH../cudamatrix/cu-array-inl.hCuArray::CopyToVecD2HcudaMemcpyAsync(&dst->front(), Data(), this->dim_ * sizeof(T), cudaMemcpyDeviceToHost, cudaStreamPerThread)USHHHdH%(H$1HHFH)Hw9u'{uEH$dH3%(H[]HcH9wH9sHHEH)HfH=ffH8H8`H8HcSHAH3H}ÅÅ8fH=ffH8H\$fH=ffHHH5HfH=ffHHdata_, 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)cudaMemcpyAsync(this->data_, src.data_, this->dim_ * sizeof(T), cudaMemcpyDeviceToDevice, cudaStreamPerThread)USHHHdH%(H$1v{u!H$dH3%(H[]fH=ffH8H8H8HcSHAHuH;ÅuzfH=ffH8H\$fH=ffHHH5H2fH=ffHHTH|$HwaHl$0AH HHH} H5H|$PH|$PH5H|$PHH|$PH5H|$PH5H|$PH5Ht$0H|$HH|$PHfH=ffHHH;HcSHHuATUSIHHu'[]A\H{ HC0H9tHHHtHsLHkH{@HCPH9tAWAVAUATUSHHH4$IHHGH)HHt?L<L9HI9III)Mt I9v L4$MI)AJ<HItI$IL#MM)M9tLLHNt5HCHL)HL$L9tHH4$LLt$MtLH+LsJDHCH[]A\A]A^A_L4$MI)IVAWAVAUATUSHHH4$IHHGH)HHt?L<L9H?I9III)Mt I9v L4$MI)AJ<HItA$AL#MM)M9tLLHNt5HCHL)HL$L9tHH4$LLt$MtLH+LsJDHCH[]A\A]A^A_L4$MI)I?VHGH;GtHtHGHHHHAWAVAUATUSHHH4$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?VReadIntegerVector: expected to see type of size ReadIntegerVector: expected to see [, saw ReadIntegerVector: read failure at file position , saw instead , 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$0AH HHH} H5-HHt$LH|$HHH|$PHHt$0H|$HH|$PHHHPHOHWH)HH9r&HH@HHuHHGAWAVAUATUSHHHH+IIIHL)H9L9MLCMHI9MI9J<IK>H@HHuL;HSL9tL)LLMtLL3Jt-IHCKHCH[]A\A]A^A_H=IdAiUSHHHdH%(H$1HHFH)Hw9u'{uEH$dH3%(H[]HcH9wH9sHHEH)HfH=ffH8H8`H8HcSHAH3H}ÅÅ8fH=ffH8H\$fH=ffHHH5HfH=ffHHo:833s?? 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' n/H*Wn/ǣn/n/ddY\?Y\HY\4Y\b}]Y^L22290{02{0R_# ,& -M); :ҥ =& ? @ A B OԤڤ Q V 8 Y0; ]S^ cv t ¥ȥ_Tpx2`7^`:^`;^`?^`@8:S:::: :?:Ydiv:Si%%2a2a2+a2,a26,Vy+!a:+!a;+!a<+!a=+!a@E!aAKHa^h)Waa QQKadKagKajKamKap2atv!auj,_Tph)eUG;6GQ6GF6  קݧJ" ( 5;( #.TZ *s~8 /. 68 ;ڨ( ?.  C"-( G.FQ Kju( O"(XeӫUGr6G6G}6   4J)4: ԩBH@ ag@ #F4 *48 /Fêɪ4 648 ;ԩ@ǩ ?F*54ǩ CNY@ǩ GFr}4ǩ K@ǩ O:@X2`d^`g^`j^`k^`l*2`d\^`g^`j^`k^`l12`d^`g^`j^`k^`l82`7^`:^`;^`?^`@2`7"^`:^`;^`?^`@2`7d^`:^`;^`?^`@2`7^`: ^`; ^`?^`@2a2a2?a2?a2@Vj?!a:?ͭ!a;?!a@G!aAGHa^e@GWaa1GGKadKagKajKamKap2at!auO@_TpXe@; : =& ?x @ A B O H Q(H H V<GH8 Y_jH׮ ]ˮH cH tɯٯH H_TpXCe2UGGG  bhFLJ}FLLL 3RL @ưRL #XL߰FL *  FL8 /XL"(FL 6 ALFL8 ;3epRL& ?XLFL& C RL& GXLѱܱFL& K RL& OLLRLC 2a2a2KNa2oNa2NVMHa^NwIWaaIIKadKagKajKamKap2at!auN_TpUPN; : =& ?I @I AI BI OciI Q}I J VI8 YʳJ7 ]+JC cI t)9I QWJ t_UpNII_TpUP2a2a2ra2sa27sVr!a:r!a;r!a@]K!aAcKHa^siKWaaoKoKKadKagKajKamKap2at!auks_Tpլs; : =& ?EK @KK AuK B{K OK QKK V$/K8 YGRK ]juK˵ cK tK ٶ߶K_TpլCCb1b52a2a2a2 a2-VHa^ws ^Waa^^KadKagKajKamKap2at!aua_Tpjw; :] =& ?$^ @*^ A0^ B6^ O_e<^ Qy<^B^ V<^8 YƸH^3 ]'޸H^? c<^ t%5<^ MSH^_Tpj2a2ca2ƾa2a2 VY!a:w!a;!a@_!aA _Ha^Tӹ&_Waa,_,_KadKagKajKamKap2atY!au>_TpT; : =& ?_ @_ A2_ B8_ Oź>_ Qٺ>_D_ V>_8 Y{&J_ ]>IJ_ c{aq>_o t>_{o oJ__TpcCC2a2ͼa2)a2Ma2mV!a:!a;!a@_!aA_Ha^=_WaaW__KadKagKajKamKap2atü!au_Tp]; :' =& ?_ @_ A_ B_ O)/_ QCN__ Vbm_8 Y` ]`  c˽۽_ټ t_ټ ټ`_Tp]ͼCC2a27a2a2a2V!a:=]!a;I!a@`!aA`Ha^`Waa``KadKagKajKamKap2at-!au_Tp; : =& ?] @M A BM O` Q`` V̿׿`8 YO`g ][`s cO5E`C tYi`OC C`_Tp7CC; : =& ?*a @0a A6a Bf  V\mJq|m m 'm 4m #mm *m8 /mm 65@m8 ;'Ydm ?m}m Cm Gmm Km O m mfeRU"fG3QGIQG>Q  sg cpVfggd tzggpd dsg_Tp9XCC2d!d1_Tp*_Up8*12d1!d212a2a27a27a27V$7!a:B7<!a;N7!a@h!aAhHa^{8hWaahhKadKagKajKamKap2at !au 8_Tpg{8; : =& ?h @h Ah Bi Orxi Qii Vi8 Y.iF ]:iR c.$i" t8Hi." "`fi _Upgih _Upgkciihi_TpgeUhGjfGfGuf  06*mJKV*m5m ou;m ;m #Fm*m **m8 /Fm*m 6*m8 ;3>;m ?FmWb*m C{;m GFm*m K;m O5m;mh;C2a2 a2Ga2Ga2GV&G!a:DG1!a;PG!a@i!aAiHa^H{iWaaiiKadKagKajKamKap2at!au H_Tp8H; : =& ?G @ AM BN Ogmi Qii Vi8 Y#i; ]/iG c# i t-=i# U[i x_Up8iG _Up8kcNiGN _Up8kc8iGN_Tp8 e1UGGfGgGf  agnmJ|nmym 2m ?m #mnm * nm8 /m!'nm 6 @Knm8 ;2dom% ?mnm% C m% Gmnm% K m% OymmGyg e]UGfGfGf  LmJLmWm ^]m k]m #hm Lm *6)4Lm8 /hmMSLm 66lwLm8 ;^]mQ ?hmLmQ C6]mQ GhmLmQ K6 +]mQ OWmDJ]myg62a2ca2gLa2La2LVK!a:L!a;$L!a@}j!aAjHa^LjWaajjKadKagKajKamKap2atY!auL_TpkOL; : =& ?e @e Aj Be Oj Qjj Vj8 Y{&j ]>Ij c{aqjo tj{o oj_TpkOceUeGvGwGv  PnJ4?Pn[n X^an w}an #lnPn *Pn8 /lnPn 6Pn8 ;'an ?ln@KPn Cdoan GlnPn Kan O[naneeUeG{G{G{  EKoJ`koo o #o #*oo *o8 /*o o 6$/o8 ;HSo  ?*olwo  Co  G*oo  Ko  Oooe2a2a2Qa2Qa2RV^Q!a:|QA!a;Q!a@jk!aApkHa^YRvkWaa|k|kKadKagKajKamKap2at!auCR_TpYR; :u =& ?.K @>e A8e Bd Ow}k Qkk Vk8 Y3kK ]?kW c3)k' t=Mk3' 'ekk_TpCC2a2a2Va2Wa2nIcBnIcFInIcJI n_TpNX2d1G!d2e2d1_!d2G2d1w!d2f2d1!d2VHdHd'ee^^'%5Gyg^^'ff!!'h;'e"f'syg&&'e*yg&&'s[h;'sf!!s"fvWvvvvvvv8vvWv1*v v!e2f&f&f&f&f!ghhhh&h8&h:<v!h!i'!jB2k&k8&k&k&k&k &k(8k08k88k@8kH8kP8kX8k`8k h8k 8p8k8t8kx8k8k8k8k8k%8k-8k.8k/8k08k2W8k388k5!lBNm>8Nm7Nn5558;v;Nmb;Nm8}}BNm=88NnY8}Nmm8}NmmNmIWW'Nm(WF5WNm$8\\2NnW5WNm;Nm;Nn85W}Nmw8}}NmNnl88}8bNm8^}8Nn;85W}8Nm8}}8Nnf8}8Nm8}8NnW;On55}Omj88}}Om8R}}On5l5}OmW}}NmCW5W}Btm8oB&o 8&o 8&o 8&o 8 &o 8&o8&o8&o8&o8 &o(&o0OmW\}Nn5|5}WOmm8}}WOn55}WNnWW}OmW}}Nmy1}5Nm~*;}Om5Z5}Nmz}8Nm}8OmW5}WNmD8Nm8}}WOn'55}WOnD5-5}WOn5L5;WNnS8d}Nmt8|}Hm}};Hm}}}Hm}};Hm}}}Hm}};WNm82}Nm%R}8Nmr}8 ee%e8er  ""A  """#585:7#L#X#X#L#i#&&&&&!p$!p%!p&!p'!p(8m!p)!p+!p,!p=!p>!p!p:8<!p!p!p!qA!qW!qm!q!rL!rb!r}!r!s+!s,!s-8!s/!s6!s7!s8!s:!sD!sF!sG!sH!sQ!sS!sT!sU!sa!sd!so!spvv2`t3o&t7&t8&t>&tD&tE &tF(&tG0&tH8&tI@&tJH&tKP&tLQ&tNR&tPS&tRT&tTU&t[V&t\W&t_X&taY&tcZ&te[&tl\&tm]Otz8t}B!u2v&v &v !w:<wxwx8wxwxwx8wxx82yR_&yT_&yU_:!yV:2(yv&yx8&yy&yz8&y| &y8&y&y&ye!z:<7(zD*zEpzF*zG::<'!zH:U</:e<!/!2:!{ 8xҥҥh))|;&|<8rem|=8!|>|C!&|Drem|E!|F|MS&|N%rem|O%!|P,.|%jp8N|P8'|U8O}1N|i8N|nO~'WW^div|QC88N|wYN|S!tN|8WOqW5WN|85W|;WW^|l8|8|#O|u1==O|b=8O|=8N| 8OW}WOS8;N|WS%%N|u%O|% =8O|?=8O|{*Y=O|~8s=&&!sk2k&k&k&k8B:<:<dk?k@kA!N;wwww8:www8wwO8N8N8O8N8)N8DD;Oi8ONWWWON88N8FNN84,8OUhO8}O8"N&88WON8#8w-w.++h)dWAh):x<XxE%nzEAXX,r-U00!&!0xO8O7 O45OJ1M3PZ[xHOxN1OxROxKOxOxOxwOx{ӫ66627HS8WO8N8NOOWWH8''.HL8'Bk ; "=$=H       !"#$%&'()*+,-./0123456789:;<<=>?@ABCDEFGHIJKLMNOPQRSTUVWXYZ[\]^_`abcdefghijklmnopqrstuvwxyz{|}~w$w28w78w;8;~ !! !!'!2!=! 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