From bc974956c651c9e288890cd30041e2b04cb5630e Mon Sep 17 00:00:00 2001 From: rakcsle Date: Fri, 29 Oct 2021 19:57:34 -0700 Subject: [PATCH] traspaso carta porte --- Acarreos/CatChoferes.aspx | 13 +- Acarreos/CatChoferes.aspx.vb | 17 +- App_Code/ClsGenerales.vb | 73 +- App_Code/ClsPaginas.vb | 10 +- Bin/GoCfdi.dll | Bin 388096 -> 390144 bytes Compras/PopUpVerFactura.aspx.vb | 23 +- Empresas/1/Formatos/Traspaso.rdlc | 634 ++++++++++++++--- Empresas/13/Formatos/OC.rdlc | 258 ++++++- Empresas/146/Formatos/Cotizacion.rdlc | 98 ++- Empresas/83/Formatos/OC.rdlc | 238 ++++++- Empresas/Grales/Formatos/CartaPorte.rdlc | 13 +- Inventarios/TraspasoAlmacen.aspx | 14 +- Inventarios/TraspasoAlmacen.aspx.vb | 862 ++++++++++++++++++++++- vwd.webinfo | 2 + 14 files changed, 2074 insertions(+), 181 deletions(-) diff --git a/Acarreos/CatChoferes.aspx b/Acarreos/CatChoferes.aspx index 740010af5..717eaf460 100644 --- a/Acarreos/CatChoferes.aspx +++ b/Acarreos/CatChoferes.aspx @@ -207,8 +207,17 @@
- - + <%----%> + + + Seleccione una + MEX + USA + CAN + + + +
diff --git a/Acarreos/CatChoferes.aspx.vb b/Acarreos/CatChoferes.aspx.vb index a4eaa2db3..e8f855dbd 100644 --- a/Acarreos/CatChoferes.aspx.vb +++ b/Acarreos/CatChoferes.aspx.vb @@ -70,6 +70,13 @@ Partial Class Acarreos_CatChoferes End If + + If TxtRFC.Text.Length > 0 And TxtNumRegidTribOperador.Text.Trim.Length > 0 Then + Alert("Se debe de proporcionar RFC O Numero RegidTribOperador elimine uno", TipoMensaje.MsgAdvertencia) + Exit Sub + End If + + If DdlTransportista.SelectedValue = "-1" Then Alert("Tiene que seleccionar un transportista.", TipoMensaje.MsgAdvertencia) Else @@ -79,12 +86,12 @@ Partial Class Acarreos_CatChoferes If ChkEstatus.Checked Then Estatus = 1 If HdnModalidad.Value = "A" Then - If ObjAcar.AddChofer(TxtChofer.Text, UsuarioActual.CveUsuario, UsuarioActual.CveEmpresa, DdlTransportista.SelectedValue, TxtIdentificacion.Text.Trim, TxtTelefono.Text.Trim, Licencia:=TxtLicencia.Text, RFC:=TxtRFC.Text.Trim, Domicilio:=TxtDomicilio.Text.Trim, NumeroExterior:=TxtNumExt.Text.Trim, NumeroInterior:=TxtNumInt.Text.Trim, Colonia:="", Ciudad:="", Estado:="", CP:=TxtCP.Text.Trim, NumRegidTribOperador:=TxtNumRegidTribOperador.Text.Trim, ResidenciaFiscalOperador:=TxtResidenciaFiscalOperador.Text.Trim, CveEstado:=DdlEstado.SelectedValue.ToEntero, CveMunicipio:=DdlMunicipio.SelectedValue.ToEntero, CveLocalidad:=DdlLocalidad.SelectedValue.ToEntero, CveColonia:=CveColonia) Then + If ObjAcar.AddChofer(TxtChofer.Text, UsuarioActual.CveUsuario, UsuarioActual.CveEmpresa, DdlTransportista.SelectedValue, TxtIdentificacion.Text.Trim, TxtTelefono.Text.Trim, Licencia:=TxtLicencia.Text, RFC:=TxtRFC.Text.Trim, Domicilio:=TxtDomicilio.Text.Trim, NumeroExterior:=TxtNumExt.Text.Trim, NumeroInterior:=TxtNumInt.Text.Trim, Colonia:="", Ciudad:="", Estado:="", CP:=TxtCP.Text.Trim, NumRegidTribOperador:=TxtNumRegidTribOperador.Text.Trim, ResidenciaFiscalOperador:=DdlResidenciaFiscalOperador.SelectedValue, CveEstado:=DdlEstado.SelectedValue.ToEntero, CveMunicipio:=DdlMunicipio.SelectedValue.ToEntero, CveLocalidad:=DdlLocalidad.SelectedValue.ToEntero, CveColonia:=CveColonia) Then CargaDatos() Alert("Agregado Correctamente.", TipoMensaje.MsgInformacion) End If ElseIf HdnModalidad.Value = "U" Then - If ObjAcar.UpdateChofer(HdnID.Value.ToEntero(), TxtChofer.Text, UsuarioActual.CveUsuario, UsuarioActual.CveEmpresa, Estatus, DdlTransportista.SelectedValue, TxtIdentificacion.Text.Trim, TxtTelefono.Text.Trim, Licencia:=TxtLicencia.Text, RFC:=TxtRFC.Text.Trim, Domicilio:=TxtDomicilio.Text.Trim, NumeroExterior:=TxtNumExt.Text.Trim, NumeroInterior:=TxtNumInt.Text.Trim, Colonia:="", Ciudad:="", Estado:="", CP:=TxtCP.Text.Trim, NumRegidTribOperador:=TxtNumRegidTribOperador.Text.Trim, ResidenciaFiscalOperador:=TxtResidenciaFiscalOperador.Text.Trim, CveEstado:=DdlEstado.SelectedValue.ToEntero, CveMunicipio:=DdlMunicipio.SelectedValue.ToEntero, CveLocalidad:=DdlLocalidad.SelectedValue.ToEntero, CveColonia:=CveColonia) Then + If ObjAcar.UpdateChofer(HdnID.Value.ToEntero(), TxtChofer.Text, UsuarioActual.CveUsuario, UsuarioActual.CveEmpresa, Estatus, DdlTransportista.SelectedValue, TxtIdentificacion.Text.Trim, TxtTelefono.Text.Trim, Licencia:=TxtLicencia.Text, RFC:=TxtRFC.Text.Trim, Domicilio:=TxtDomicilio.Text.Trim, NumeroExterior:=TxtNumExt.Text.Trim, NumeroInterior:=TxtNumInt.Text.Trim, Colonia:="", Ciudad:="", Estado:="", CP:=TxtCP.Text.Trim, NumRegidTribOperador:=TxtNumRegidTribOperador.Text.Trim, ResidenciaFiscalOperador:=DdlResidenciaFiscalOperador.SelectedValue, CveEstado:=DdlEstado.SelectedValue.ToEntero, CveMunicipio:=DdlMunicipio.SelectedValue.ToEntero, CveLocalidad:=DdlLocalidad.SelectedValue.ToEntero, CveColonia:=CveColonia) Then CargaDatos() Alert("Actualizado Correctamente.", TipoMensaje.MsgInformacion) End If @@ -120,7 +127,9 @@ Partial Class Acarreos_CatChoferes TxtLicencia.Text = GvRow.DataKey("Licencia") TxtNumRegidTribOperador.Text = GvRow.DataKey("NumRegidTribOperador") - TxtResidenciaFiscalOperador.Text = GvRow.DataKey("ResidenciaFiscalOperador") + + DdlResidenciaFiscalOperador.SelectedValueExist("-1") + DdlResidenciaFiscalOperador.SelectedValueExist(GvRow.DataKey("ResidenciaFiscalOperador")) DdlTransportista.SelectedValueExist(GvRow.DataKey("CveTransportista")) @@ -193,7 +202,7 @@ Partial Class Acarreos_CatChoferes 'TxtColonia.Text = "" TxtNumRegidTribOperador.Text = "" - TxtResidenciaFiscalOperador.Text = "" + DdlResidenciaFiscalOperador.SelectedValueExist("-1") DdlColonias.txtText.Value = "Selecione Una" DdlColonias.txtValue.Value = "-1" diff --git a/App_Code/ClsGenerales.vb b/App_Code/ClsGenerales.vb index 51f446d2f..939808c43 100644 --- a/App_Code/ClsGenerales.vb +++ b/App_Code/ClsGenerales.vb @@ -20,6 +20,7 @@ Public Class ClsGenerales 'REGISTRAR CONEXIONES ABIERTAS Private CveConexion As Integer = 0 Private EsTransaccionCompartida As Boolean = False + #End Region #Region "Propiedades" @@ -49,6 +50,10 @@ Public Class ClsGenerales DtResultados = Data End Get End Property + + Public Property FolioInsertado As Integer + + Public Property SerieInsertada As String #End Region Public Function IniciaTransacSQL() As SqlTransaction @@ -3606,8 +3611,8 @@ Public Class ClsGenerales #Region "GRAL TIMBRES" - Public Function GralTimbreAdd(TipoDocto As Integer, Serie As String, Folio As Integer, FolioFiscal As String, Fecha As Date, CveVenta As Integer, CveMovimientoAlmacen As Integer, CveUsuario As Integer, CveEmpresa As Integer, - Estatus As Integer, CvePAC As Integer, AplicaCP As Boolean, CveSubProyectoOrigen As Integer, CveDireccionOrigen As Integer, CveDireccionDestino As Integer) As Integer + Public Function AddGralTimbre(TipoDocto As String, Serie As String, Folio As Integer, FolioFiscal As String, Fecha As Date, CvePaqueteriaGuia As Integer, CveMovimientoAlmacen As Integer, CveUsuario As Integer, CveEmpresa As Integer, + Estatus As Integer, CvePAC As Integer, AplicaCP As Boolean, CveSubProyectoOrigen As Integer, CveDireccionOrigen As Integer, CveDireccionDestino As Integer, CveChofer As Integer, CveCamion As Integer, FechaEntrega As Date) As Integer Dim Retorno As Integer = -1 DataAdapter("PA_Gral_TimbreAdd") @@ -3618,7 +3623,7 @@ Public Class ClsGenerales .Add("@Folio", SqlDbType.Int).Value = Folio .Add("@FolioFiscal", SqlDbType.VarChar).Value = FolioFiscal .Add("@Fecha", SqlDbType.Date).Value = Fecha - .Add("@CveVenta", SqlDbType.Int).Value = CveVenta + .Add("@CvePaqueteriaGuia", SqlDbType.Int).Value = CvePaqueteriaGuia .Add("@CveMovimientoAlmacen", SqlDbType.Int).Value = CveMovimientoAlmacen .Add("@CveUsuario", SqlDbType.Int).Value = CveUsuario .Add("@CveEmpresa", SqlDbType.Int).Value = CveEmpresa @@ -3628,19 +3633,31 @@ Public Class ClsGenerales .Add("@CveSubProyectoOrigen", SqlDbType.Int).Value = CveSubProyectoOrigen .Add("@CveDireccionOrigen", SqlDbType.Int).Value = CveDireccionOrigen .Add("@CveDireccionDestino", SqlDbType.Int).Value = CveDireccionDestino - .Add("@CveTimbre", SqlDbType.Int).Direction = ParameterDirection.Output + .Add("@CveChofer", SqlDbType.Int).Value = CveChofer + .Add("@CveCamion", SqlDbType.Int).Value = CveCamion + .Add("@FechaEntrega", SqlDbType.DateTime).Value = FechaEntrega + + .Add("@CveTimbre", SqlDbType.Int).Direction = ParameterDirection.Output + .Add("@FolioInsertado", SqlDbType.Int).Direction = ParameterDirection.Output + .Add("@SerieInsertada", SqlDbType.VarChar, 5).Direction = ParameterDirection.Output + End With Try - SqlAdapter.Fill(Data) - Retorno = SqlAdapter.SelectCommand.Parameters("@CveTimbre").Value.ToString.ToEntero + SqlAdapter.Fill(Data) + + FolioInsertado = SqlAdapter.SelectCommand.Parameters("@FolioInsertado").Value.ToString.ToEntero + SerieInsertada = SqlAdapter.SelectCommand.Parameters("@SerieInsertada").Value.ToString + + Retorno = SqlAdapter.SelectCommand.Parameters("@CveTimbre").Value.ToString.ToEntero + Catch ex As Exception OnError("Ocurrió un error al agregar el timbre", ex, SqlAdapter.SelectCommand.Parameters.ParametrosInfo) End Try Return Retorno End Function - Public Function GralTimbreGet(CveTimbre As Integer, TipoDocto As String, Serie As String, Folio As Integer, FechaI As Date, FechaF As Date, Estatus As Integer, CveEmpresa As Integer, CveVenta As Integer) As Boolean + Public Function GetGralTimbre(CveTimbre As Integer, TipoDocto As String, Serie As String, Folio As Integer, FechaI As Date, FechaF As Date, Estatus As Integer, CveEmpresa As Integer, CveMovimiento As Integer, CvePaqueteriaGuia As Integer) As Boolean Dim Retorno As Boolean = False DataAdapter("PA_Gral_TimbreGet") @@ -3651,11 +3668,10 @@ Public Class ClsGenerales .Add("@Folio", SqlDbType.Int).Value = Folio .Add("@FechaI", SqlDbType.Date).Value = FechaI .Add("@FechaF", SqlDbType.Date).Value = FechaF - .Add("@Estatus", SqlDbType.Int).Value = Estatus - .Add("@CveEmpresa", SqlDbType.Int).Value = CveEmpresa - - .Add("@CveVenta", SqlDbType.Int).Value = CveVenta + .Add("@CveEmpresa", SqlDbType.Int).Value = CveEmpresa + .Add("@CveMovimiento", SqlDbType.Int).Value = CveMovimiento + .Add("@CvePaqueteriaGuia", SqlDbType.Int).Value = CvePaqueteriaGuia @@ -3671,8 +3687,9 @@ Public Class ClsGenerales Return Retorno End Function - Public Function GralTimbreUpdate(CveTimbre As Integer, TipoDocto As Integer, Serie As String, Folio As Integer, FolioFiscal As String, Fecha As Date, CveVenta As Integer, CveMovimientoAlmacen As Integer, CveUsuario As Integer, CveEmpresa As Integer, - Estatus As Integer, CvePAC As Integer, CvePACCancelacion As Integer, FechaCancelacion As Date, AplicaCP As Boolean, CveSubProyectoOrigen As Integer, CveDireccionOrigen As Integer, CveDireccionDestino As Integer) As Boolean + Public Function UpdateGralTimbre(CveTimbre As Integer, TipoDocto As String, Serie As String, Folio As Integer, FolioFiscal As String, Fecha As Date, CvePaqueteriaGuia As Integer, CveMovimientoAlmacen As Integer, CveUsuario As Integer, CveEmpresa As Integer, + Estatus As Integer, CvePAC As Integer, CvePACCancelacion As Integer, FechaCancelacion As Date, AplicaCP As Boolean, CveSubProyectoOrigen As Integer, CveDireccionOrigen As Integer, CveDireccionDestino As Integer, + CveChofer As Integer, CveCamion As Integer) As Boolean Dim Retorno As Boolean = False DataAdapter("PA_Gral_TimbreUpdate") @@ -3684,7 +3701,7 @@ Public Class ClsGenerales .Add("@Folio", SqlDbType.Int).Value = Folio .Add("@FolioFiscal", SqlDbType.VarChar).Value = FolioFiscal .Add("@Fecha", SqlDbType.Date).Value = Fecha - .Add("@CveVenta", SqlDbType.Int).Value = CveVenta + .Add("@CvePaqueteriaGuia", SqlDbType.Int).Value = CvePaqueteriaGuia .Add("@CveMovimientoAlmacen", SqlDbType.Int).Value = CveMovimientoAlmacen .Add("@Estatus", SqlDbType.Int).Value = Estatus .Add("@CvePAC", SqlDbType.Int).Value = CvePAC @@ -3695,7 +3712,9 @@ Public Class ClsGenerales .Add("@CveDireccionOrigen", SqlDbType.Int).Value = CveDireccionOrigen .Add("@CveDireccionDestino", SqlDbType.Int).Value = CveDireccionDestino .Add("@CveUsuario", SqlDbType.Int).Value = CveUsuario - .Add("@CveEmpresa", SqlDbType.Int).Value = CveEmpresa + .Add("@CveEmpresa", SqlDbType.Int).Value = CveEmpresa + .Add("@CveChofer", SqlDbType.Int).Value = CveChofer + .Add("@CveCamion", SqlDbType.Int).Value = CveCamion End With @@ -3710,7 +3729,7 @@ Public Class ClsGenerales - Public Function GralTimbreRemove(CveTimbre As Integer, CveEmpresa As Integer) As Boolean + Public Function RemoveGralTimbre(CveTimbre As Integer, CveEmpresa As Integer) As Boolean Dim Retorno As Boolean = False DataAdapter("PA_Gral_TimbreRemove") @@ -3728,6 +3747,28 @@ Public Class ClsGenerales Return Retorno End Function + Public Function GetGralMovimientosDetalleTimbre(CveTimbre As Integer, CveEmpresa As Integer) As Boolean + + + Dim Retorno As Boolean = False + DataAdapter("PA_Gral_MovimientosDetalleTimbreGet") + + With SqlAdapter.SelectCommand.Parameters + .Add("@CveTimbre", SqlDbType.Int).Value = CveTimbre + .Add("@CveEmpresa", SqlDbType.Int).Value = CveEmpresa + End With + + Try + SqlAdapter.Fill(Data) + Retorno = True + Catch ex As Exception + OnError("Ocurrió un error al obtener los movimientos del timbre", ex, SqlAdapter.SelectCommand.Parameters.ParametrosInfo) + End Try + + Return Retorno + + End Function + #End Region diff --git a/App_Code/ClsPaginas.vb b/App_Code/ClsPaginas.vb index 668fa1c7d..95e7c7ae0 100644 --- a/App_Code/ClsPaginas.vb +++ b/App_Code/ClsPaginas.vb @@ -6844,7 +6844,8 @@ Public Class ClsPaginas Dim CBB As New ClbNegBICFDv3_2.ClsNegCBBGenerar() CBB.GenerarCBB(UsuarioActual.Empresa.RFC, RFCReceptor, Vta.Total.ToString.ToDecimal, Vta.FolioFiscal, RutaCBB) End If - ImgCBB = String.Format("{0}://{1}:{2}/Empresas/{3}/CBB/{4}.jpg", Request.Url.Scheme, Request.Url.Host, Request.Url.Port, UsuarioActual.CveEmpresa, Vta.SerieFolio) + 'ImgCBB = String.Format("{0}://{1}:{2}/Empresas/{3}/CBB/{4}.jpg", Request.Url.Scheme.Replace("https", "http"), Request.Url.Host, Request.Url.Port, UsuarioActual.CveEmpresa, Vta.SerieFolio) + 'Dim CadenaOriginals As String = "||1.0|" + Vta.FolioFiscal + "|" + Vta.FechaCertificacion.ToString("yyyy-MM-dd") + "T" + Vta.FechaCertificacion.ToString("HH:mm:ss") + "|" + Vta.SelloCFDi + "|" + Vta.NoSerieCertificado + "||" Dim CadenaOriginals As String = String.Format("||{0}|{1}|{2}T{3}|{4}|{5}||", If(Vta.Version = "3.3", "1.1", "1.0"), Vta.FolioFiscal, Vta.FechaCertificacion.ToString("yyyy-MM-dd"), Vta.FechaCertificacion.ToString("HH:mm:ss"), Vta.SelloCFDi, Vta.NoSerieCertificado) @@ -6852,6 +6853,11 @@ Public Class ClsPaginas Dim RutaFormato As String = "" Dim RutaFormatoDefault As String = "" + + ImgCBB = $"file://{ImagenCBB.FullName}" + + + 'AQUI EMPIEZA LOS PARAMETROS Try Dim params As New List(Of ReportParameter) @@ -6903,6 +6909,8 @@ Public Class ClsPaginas params.Add(New ReportParameter("CadenaSAT", CadenaOriginals)) params.Add(New ReportParameter("SelloSAT", Vta.SelloSAT)) + 'Net.ServicePointManager.SecurityProtocol = Net.ServicePointManager.SecurityProtocol Or Net.SecurityProtocolType.Tls Or Net.SecurityProtocolType.Tls11 Or Net.SecurityProtocolType.Tls12 + params.Add(New ReportParameter("QR", ImgCBB)) params.Add(New ReportParameter("Moneda", Vta.Moneda)) params.Add(New ReportParameter("TipoCambio", Vta.TipoCambio.ToString)) diff --git a/Bin/GoCfdi.dll b/Bin/GoCfdi.dll index 0fb132ef3c35db65ff453c59f65f4fd81f581a13..0e4145017e0bfd5b3c6a6837ea8d2941f6bba3e8 100644 GIT binary patch delta 95053 zcmeFa2Yg(`^)G(6_qA3l?W%fZ$&#62%3uDK<8y*al;&0RvuhMK@v%gpO%9 zAaD!>ClD|_1V{)369_E?LJiHL29iK%N$8mW_neuzWwip5U*7+{_xU`3K)d(MnKNfj zn=|Fku6iN6>Mz*~&uU%2{>c3``R_HYwI$}6plR;~G%YBAJ4G*Azi0BZNKo6A04+i7 zP~SzP(($Q5Esp06;h@$uu>YHZE_0!0O!UIPp=Jx<@0sU#@}Bq2J3V7OADe@o)-hdC zL2(vJy;?x4In<;1ulH&mJk!6rlwZ5(+jjQOj;3{RW+bzszJ9e|iO)aOKx1N{#`4=eQP!4=JaK~u%C#0?0>fU(4@tq3WM zCxerM?*K#ZG((~7L3?&+W-w2Ub(w2IdWpUoX}`9@r*{){9R5^!d`1=^eGETnedF<& zh!~>)D?$~~4)03pK(;s$5BenhN&7SDKz^Q<3go6PNcoGK0hV33$)66Uf?XLclJZkY zaWcSyf|hS0=pLzn#7+ekI*SFRbigWSYN1r9du_y6Xffi86gLOWOy3mz)wjSO&8Lqx zr+!#tt`FyeQmRjew?@wskt0>lS4D>J`Bp)@=YF9+XgNx(bk%F3=k;Dci7QwvP>Em5 zSE&LP2_U|dU*A%)gOAK64~wD>`dJO``#t6j;k4NkjoCcr%w^G1um{-sB=dvl)L1XR zD*Ne)jV*13=R_n^+!~)+#8=#gKl`@DN7|qA3)YHL@mQQjMSat$1bj1*;tYmuN3bBo z8Z2&40Mblx2l^)J*Y(XL3`knin}tXITJjfn#CH~WaVM$))$NSWRH(R%e4H&m=ioCP zjuhdb(MT$sEzZT4;ynE6h!l6j$1yA6IW?Pn=}0QlHA0IBXmLJaXp!RX_>2vXO_PJH zfI?EyVh7xqTx4ndY$)@?cq{xVoe)x??n}9({J!EIzyxzbGU)#>l7VdwkxVERM0bQ_ zNJb9H^z8|<>2NCS5=@CaVTfP?LNH+|m_ShoCQxL-!0=fzkbT4{8h~B0iKe1mDbkRD zOX>K8wfF5s?8Guu9xE=OE^C8{RIDqE$A#wHWQ{VdWy!ZaQ_XoJx@M4V9Ni4b!$SKO zQGH0qSKOPv1&L75ukVA0;$r-XYEVE33OFeQ1y~Vf!-$a$`=VIWUZM8B4fBcR6 z6Ok>iL=@FRMm!9Mq;SZwuy_Ezb%cy1*-Fsr_Dawzwx|TXuC!An@PP{}K`%XUC{)XD z2li4&4J`>7`}9|WUT~%pS`vNH!o>s8r)=>c{FM)x;=%SqOV0>RD=xJGuF^VJy-aRo z-yy&(9%`c(55xCRaT!B=#l!L05iTB~RcX=lGjKuJSJ!T6_z1JVx_;D=C{Bl~!<#Z~ zFckK7W4fuWs1E7NQKT2myQ(`pE6l;_hTIAOK=~+qXf?5L(cmv};Z_*+n$vYnG>G(L z6!d#rdhyW@onx?w<+W6-)105)wbTcMbg(+8A5EA+!jv9%3;{5tTL6kh{V@mNSgISU z4jI3^1d=_Dij$7w7rvM`n={pr4 z)O_D*^d*p?fD|bHz$|65JDm|-4#RW>E>&hh7yrODIV!dNXs*UzarW+tOi9-dnOfH+n!B@*V6Em z(a$6_YVIuh0-@7zUX!Zns-hN|xfIeJj8>3!w0JhKxG{V}n1o!Ls_o)Nz@C;>EysZ# zXLNiko@HK`t=;V$Y9djc+*CUjoKz=6{pSLrpNBu8;%fX|6^8z*li~jJ@sLWSlEn+~ zMN1_z#S8Hz8ce4Kt2;D^WH3hTU1WZm-TBaqsYna@iY6f=A}{Meru0KR#KXl)@R0}? zFQuYL-vB;H5uERd0rE0{Isl=>%K^cN!Ct}9nQXGJ-CSR{caUVLUv9?gr))nOHDjSJ zpO&AhX})aV8azjX{*3?p!-_w`cZ^w$G&bZ0?6Co04j9^?HV9seYt1w2XSGu97z>7S zRr(e9reknGHh@0}nRN@|VPA1G^TYZv`Kt&N?DE&d@{_f`ALA*m`HENLGm%OA^R*az z&2)g2zs{WA&{_HkN{$`}hNHpaPx0M22Al+n*WfFfX2|J)B>fU(T!g3MwOnl6PTzk< z-}US8SB#`!vfG!*`$Fd*wybzP6?#L}nm!)R4~pvnfXHva2aNtk8fZz_tOF9E4l~YE zu9yxD&Ps>1zCU}lV7n0d8~CcV_x+6^E&l{!@vjUq?gbwyHMD|a@g0H}-!f-4jxXIz zO;CKjg}zX*oP8OB<*j%U0`$){<^dAqC($*4?7sQuW{bB0TkHEd{>Heg#syTvxSS|K zdQr|H;?AP0WKl_!C5&qTNc%(KOjzljtr})^^yM%s`lH{jNTmazR3MWIC{&+_4`HnZ z6DN(mG#$w&wGjLhE+M>ihz9+S5q8eQEQUrV%BPpM)YADr98;+)(ijYK=AI zpIf{W59zoT$}B71g|C_@epWP<2*JNn2}!vlR9s6asknklQ%)dkhT+npxlUMB6HN}E zF@4SL2_030BL|DC&3hjhWA4)&A4~Rd^h97{>K3B8R1kR=JSG&9RJ6hRI0olmninuEYxn?X`5)k@s#AgDjGdXkGKiC%O3PmJ|a91c?TzGr;$mcyB zBfTr9Ab@nXdVT%;B|X8b?GB0<*&OrL`j*z}d&pwFIn-PCND zCx2jgOhWUv{0kPTZ_bsBz1C@biL7FW7zW_)C0&YABLgp#04K4;7 zuFzI^b<8$`E^1R4OrjLvWI!=NF{djnxts&EB)1yXk}<=;qmC>v+MUGHvFa)B$%@IW zsAV>^#RL!e6 z9ckKup(R6L5C2N|UyQVvpLP9vY|so;v2h)<5vt6FEUdtWcN?MQdr&Z z0!6B(gFp#cD{0kArjk~z9S9{UYZ?3DsXq%n!p&)^>=%!5u!^v_ zqt$b_xvFDg&PjOL)t0Y{UKTf)f9x1*H}az02z6)JMz$H#SR(g99EdAQcvSId>vd(3 zXAb~WkSO*7lf9kEJ7UFRV7X((;ebf5bv0w0xz2oH%qTmeeqb|xCh9=2X?@Gl&b|-F zg1JJk(K+l`k;B1K&rd7{WK>F<_vs;5WI7f&Dz><}JOd@RNd&bY`7{k;OS#7$h=WIk zRVbDEq>4iLizMVS3o;9ksboRxEzlH+^oj);Eg@AuRfLqO6d1y$a^=`q=_AZqB`!BA zwVDzgF`BQjHOZF7jS^C~BFK#r1d$Jt>ySoJ+yKz9-&LC>?w5-mGbrg%0$FZhE$BPP z_EE!9_h$MDOO_kGj!y8HwHE-w9Q_)NH8*tDH;IuaXk3CaH8cc`+xf|St+RP+M#$%+ zVD3eM7wd23fm;?ogJNXXf+!5jynkN0^ezEi=4^aUAT@NU<{&s;J*<<&QrBX5JP%P! z(6dGlf_sx#&Mapl>7+z4nkku&c#5Ec^LwQLIHId4(Tow*xN6V9$8e}ZepD3$3#rJLQv=pUI%jST&XJvo- zuesBo{+~O2KX;lS+zAH59!c)x_KZp%bnt)6gH+B!9+V78H&sq!-kVoB%l|e%+4aBW zCzOi>wWH0eyK3xVej(;F(lzXHMa6S5tYCl`y<>G59z|sg`J+*pwbt`9dvsvH0t=u} zj%A2Br#oA6=C_i-T9mp+{F?!hh7d3w#Dhu_7AlHQ1L#fqo3f5{*%i(zMCD|lO*3Eb z9+TO?gAxy&B9M@D>daB&YPPX5t*^^^&4EJ=sP>?%MeeQ^@ zhCxy02-qd}^z8d8mMgn;Yei2&g>V~qy)ps z_Ar7GWfcVDv>JoDsboY0SEsrE6vx0d!cIPI5h%#_+2U`wK!GUU{0G* z(_w|qZ@B9@1Vya6B6df-v{n(+@*%Ij!F;kX((@bh{X$*Ixze%xR+=v2k6f8rSxYhX zF#_E0kQ}f0cHU;AWeAM{PPBJ`VSMU9VBr7^P(Py zM`NWMTI6s#6Ls7keHcSb47sJV>FXBU>*Z3oQ*JLCpq2w*c`9>w9w235$f=otD?o`7 zHK^a5X|;;^1DoK>4m>tN2HbDnc7AOGII%qar*~S?p*5TR zx5|dOm{wO-ZIu-(8%aMRlK6*p3(8^}Wk8WRG zi@nf%u5AKB-)8UBiHE9ALG13`vG!j(jaC$6yo9niNNtH?Iab-7Bdb*i3xOb~!~e^K zF-U6m)Gsz#P@?sTUm+&taAqj(sh%RMdGjpGQU zOhKsV6aqzMAT!8YUDg5Cu;+=vt$FQ;E*CedzVz~PeXo}$B@@xvqT`tdN2!z6J zYe$OGEks}oiou1swm~vka{Xcap2N|<5k7{U34xucrTP=^RjT)yS8i38xfaik)PPXQ z!(ZP%9eNN&P?}lVuC}D2$V-G?X*4!ILCFX|AD)vdbXdi)gF9`qs^H%A8w&1aRE%u^ zm9dBw^epmYNR)&7<`AB}3B~&_zp~S3s_D*0gvvNf@4J1hVA#0dB6X1}ftGL$ih5UX z?}&OEwy(Fxu-CV*-$HnzE8@~QbJb1WbimS=nzWH@+4?8!pbVYN9wBc}UMW=@3y6b2 zrQ=$(C9DGHUiZPW)#4`tqeOA;=|b+7izE>s%zLbcqIi0B2kBACm{r}mt@rLpZ3H;FU}nQ)@l<7TluD(n zKFAiAAHGDQjQKX7N zUlNd9Af?QT7m3hSzk4+ceYZm6tyV|L^>^J_CaGS-|2t)P2uwb055#adVJHq=3?8VsRp!J5NneQdN?-ecgv*rAvH<7?a4C>DlayOgZjbd8 z>E}NJkg`0h4uvu`!oLOtHB?&(0?)2hc-jOE*AS1eR!Z1d7bm2xbH zMNgFL-HB4$U4=h8<|G?XJj8XK?*0Z4lzM_+5ut~;tvpH>7$5}@l%T~e03sf<7 zm0IYlVEP~>D1clR^#K5iPq$7~?il+$bW%2@XO*j!oQXh?0YW$e(l(GvZCN?eUSel; zf>#KK#Kw`8Xn}hympZsF%;73zoX%mu*b&IC&Qub*LnlW9zg+0hNkQfshKX_|^FWVx zC0Q^ggr_5mtx~3ZA8=H_RP~-Cn5@W?W6YCE9}sY8Zst5Tp|B;_?0i0<$mx^J5?g5epzK{m`XdR)aX^m`%d8}z`$*m;1R8oI&zaNSMJVz} zUJ?nRQvdZPR$&?eF&b27?&>sjp<-(S7+Z;v7 zYL#-%#*?tfMmT;OtS3(cznJ}ZR|$XZ4*TaY?^we@2#E1SC06(haa+^)@M_$r{}z2q z`1vF44;V!dElyXJ_Hy zHI7zS`}IfhrP{|I3)7KmUn-(M1`yu){5_#imxHMY-UzYF5~%jLsP?#d>-^e!rXfh- zJy}ZUdzhO)n1l02dmb}=yN_vp!ae2ftc#kW>LEGp%P*v$G%8Auvr5C&F#%f1AoCBq?_wXyMBro}C+&y` zwWLH}MTFW#YI58YWlp^x0Pf-FXh2ln>WV~{qCiF>3X)UZ2Qu1uM0T)%?plF|s>;A) zGgTPmxH=^8+zDh6czh09rDRZc;te2_PtP5gH0PI?UlFD&y5d!Gn&K~-@+3;iX4_(@ zT|p(~tE{5v94;!WWvl~K4TM2$BJF+Bg@EQBW}9cqE(9t)x(^wSLC2>loO%GxX7 z*tHsfxC%OJ@7{A2f>c~B<(%Uue^e5ca``;~ZmrXMG%l_0$w$>xz!v@gE2<46n$S~J zR4y9gRt;VDwx*00D#oZ%ekf3o zQ)BCPz_K+*>(+GI*}SYLVIMR?TyV*rW*U}VJJhulw4}N)q^ZGc_A_OC9|OP$k0V)= z9V`LvlD|Q;-Sb`Mh@wj?@#ER|Gt&NW?+Dc`k>w2GA>dT{Duw{OU8)4a z2o&(qQ&(@KscidFnN=MOz;{IZ3ccr~<_?q1oxicHxu*fB*qrema{>7ld3gnnxX$?zoqpgqu~N*w3#r@wEWCNfWBnqdD%trmFK_ zvrwOa0s`jX6(i#-U$=liHZQrjy;OL^0u)(IIZ&nPG0nxl$Fkf(Dy)4#ggCoWqeb>j z1ySkocm<&YzO)uQ(wu$y2s64_jE`8A9qQN%*e+EJ0ASogP&tC~0$=(q0PeS)#o#j? zCP5_{ukSIyiRN10D=AkqF8*_QsJIyrw_f>;%1VAH{GLzKx@gMn zc>i~679G;KK;bDAtGlhxD_Aqu*>VS|w|^f8H_`%r225y6|E<}7a5j6~+p1vWNht6J z^j~6aCS#62ytX;>jw&n6MH$v;HUsJGqy&94Hy)ge-(q9bnBk@Er4#>RRe2MZh8KEZ z9%AXARp(-=_OBN5orD~AAoDJ%vj-2^$Y&FB#DPr5IGM6}(kV~kIW5^?}588`gB%+h~f4rqM8+$!lM=4#EpoJAQsXO;A-p?mJP1qi66 zIXNJRz1)D;EFK!D^lHR>s$wnD2_=z(r?Kg2t(@^LuX~xUkLtOX=>`boKGh&z9aFE= zPIs{{PA(lavUbLz8G1)Yl2MXDN_}(GX7ggWlUM#ihqj`z2tRK1AYvTQ5|?D$Q&6&?)8 zuz~z26uJZX34oLZ@=FK=tdhf5?f?v%g|1UB(%T*;ba%*pmq6~29nm}>;C@Y35@_cl z6}n~QMtCmS(MCk*Sz2tq9igv;N`?&pNWD^Jc$Qbv&TfL2=%`bH9r)udniOvwfgU5vK!S+(uC6JmPBt-0yH9 z9&Szu+Gsr7Fu;lCd_AG^a3iK=js%MK3)Nouej$$0F{uX$4?3h*SEz-NPjs$%(e|1c*IUKhz zt|N?~HG9D~^Iym0;xF15N0=?gwwL~xu&RhN!aOe^iHUSj%}7g0385J&?a`Jmqu)RX zA_w}|4gySw&7H0Zw6eVABc!Dv5=&*SQy>MXJOH@omqVlevmjFz^#=(g?F1rm-Dy%1 zlNPnT{T`vJ7v024yolkI&Wnh(9Irv5ai-g=wAi_JFux(7Y2z!|8fTLA7oym2R97i^ zC;Uc+A1M89YM`$|sPlp7U5U4MRKj9b9Y4C~IU6Aj1joBtSgM(+8PBFXxbF0+L^bk%$br$6iQ;IhMj9L)j`k7RwYcfD^^m|Usr7x+s+B$-8X`1o=iIwAiSA+CM<$8+%Fbsk^-cWaH8@0kz<jT$DvdGjYZw2jdfm!Erm80;?Sub*`q z=!l4spP?-88^A<%=qu|p;+e_>90#<#M*T?h!~RkA2<;@F?SKW;U*BX!5jJ;41)j%B9Vmw<=S*)RPDpTY> zKPjI)(yM2#+(C`rhoi1a4$~9Nw^wCn$llo(z*!u?f-AMZ+G<}}yE*lg8u7k}*SNvl z=alyUXQ2N-8R)}i`)Q*$vkVm1)jG2xD6mI{ho(t!5hrr`CNDNh&8v?{d;Vo!cv^;! zkieBUlM}j@F2oG^j%s;!@ph|a&5P#q%i{Q0@fISx4iv|gvba89 z1XWs{*}al6ZVnXH5RV;wNY~}M%n++^zA%!*3s#7==IS%+tak_Z05NaCwaNy&aVUwD zPn%k5OzT4hWm$A5l>8^s8nQuko_94-EtcHDWP2h3MrR1Y+Zn|OG7yRQi#Xw_3pbS#sxiO%^R4~8 zx*Ja6nu3zSO`;Vt^MZ3mdbPZH%Q-o^SOB+0^BoBsr|9Yp8$`SHv~;1iAB~|mCP)eY zBwwcJ+W{~hCa8=fyz%lS0q$p`VuLG*E%ljQHXcuj7~sG&oKqru60=8!*DMjtMf#x-QanEUv{ z@nssg5rAQY<8Y#ffThwrgIej&nyJ+-o=$Vp>bBCeD3yl!1DkolDv3)mzjA`?4rB)N zC$TtBjQ)s02uK}w)wG{E+T-_{CML2k^_yclmUF1hss`5q8eh8m3#`#| zd|__5fNn>|LX^ieKfIu}?qM|SUXz@(1wqW_3mZ$j&{q+1X!k^#8CT(kXk<|XXnmnf zS9_HMOaOci&yY%{>0#wKj%7sWQuR%!KWr#>z2E{w70KP%6G?}cOl8|VNmMjl=@em> zC~ZDMko}bNrs$q77$;7y zTuNCzX-p+cv=ToK<}s<#+5y{J+KgS?Uh^uoD^&XiR113&=Xk2F+)@>6ybA^5+}1HY z3RpOs&TS<|_F8}i9y79Z^tfNy5XVhr!!ukV;H5L|8 zhqJ!_!@AO+Y=p}hfi3Bzsb#YIB>?Viz~2H=>A2+!1oxF&=+OLJR9luWX;zh4D2CwZh=>sf|8P z`u3I6%XaMC69R_J*~rY4j<*2~W$Zj{ zn`-WVh2uFL{FyJ57p64sAHzb76H^5y{$ai|?qEq|~;^f=E4no7zaCN*z*d zC9s9$yKMgE90Qf!zOUMx!{Si28P|eg%;Z!I8)N@Mhue2aL_)8$Hl1^yb@M~Il^q#V zAkRJKQ)_DL$S~Y#hLrk8lj=(=cd|6K%2pItA*sWshGerG{Fnsmg(h-p{vmCV!;$!I zsb^=UFsU995ma7wrFrF#91(#ox+=HT4WJ-xbzc-KTWv4yV!Ok0axN46yAhzWC2jMcMF50A@p9*Pdi|B?UnQ@fzpDio zUjLR2_&b8`0yGd7+SmOT$uip)nzIU+xKhWzJ4CnPEBIWf#E$!2^mP%PA zZxDTk$ZnmEL7s^8OJU;@UWrUA=;f+(-QB_5zTh zL&fFm`dbSv13JsepSqsff?6<9;I)bLpYaq-M4_=4K(DZ zm5lCLqF~K%GZT_{>EdI+*ooBsin>4R3lxk9Io?E0hT&`Yw*>zWtxD#omX_=GBo^Ek z!XzW2HY#IFh~L?et}ubI?Sr7^s-M=BTx?NDRkXKb?6R|=j#R*Fkfw&J906q5?e;+7 zT9iuFv!b!^g_r6|OVOCnbpANWZEi26=3!oN78jAb#Baw7*Za-ls&E&k*O&(Siu*(k znK!JEhuk;Z?}&=I1jj+D;!eGmFofTmw7XDPWp|RRQ0Rm~s`Z_fR?lQtuPz4+eS<(; z>h11=OBr>o!UoJBY;h9| zn=^j7FfP~W&C>OC2a`UnGn7tV4_s^!eGidc)na@agv$HYy03+Q5Adran`&|WfCm-z zXUwm_<*OFL#63Br?DNT-G z)(}!Yk#)Yf)lHaIPEw9ZKLV{r?ClBD%1p{J?Yk{Yeq%AAy5I9U7$BU^QZrmT)peRu zmu*VuASG&aCC@Ubg5B^a&~RmhcThX7rC8(OZ+65Iua&|$HjwDdqUy^7R8i(Ig1Bpj zDjqt`8*dzY0Hqh=Fe_))9LnwAD*CVdPzY}F@;qhEyQyIk`GS=uJAcRn13=|@wRy!& z4W&;Gv;>pwZ^3A!B&Hu^6$lX?1b}fqL7g`K0s)5D_}qhSG`4XDIML)QRt5W2EY{QJ zORbbjYHmItt}Lo6&bLS}zd5^TZ7aP&h&1Ky(Fg6FjxA`8gEaWRbWzM;!p}{WR=8z%9qpPkzvjVC7MxSnO^ z$XhcFbO+HCV*li4fr+2o=HCR5h472ub8gL*5E{jgO^d-~BQC1Kue?4-(BI-uB3OK0 zeWzCRo9XFK_`~a#6np7Mj}?FKEmQmz&IC9j(D~{uP6~nkr~|$A@RGvM@68>LXVc+) zvlb2(UqBnFaJC513kKs_3cn{#$00-^ALGXbU6{^vKj97Qb4Z5XVDUw&fc=xGK9?Xh z(V949B-ZXjT6MkF1#82v8hbU|%oWp+U8FRBJRA#|C*Iaty5?{g;dz$;Lw^Z0qItu( zqa3uvc(@$2i}7+fXiMXxa!`j6Iiiew+D#s>fF$yxy!v9W-W9~9w;na`q+e*pWIPxR zCh}T@W;#A?2gtHO{QGj_iZ6rRx&`>DbAH`sVJx51e4*kifaWIfwFXgNC|lf!XRM8e zvI}FOASJBbFZ%H7>$u_76gC=iE%I;-fphjob_z9L6Wk`#rTSg;8M4X zA9d|kM8Exal7@|q)O&QFL$>u(W);ILGAs9wB$bq;h{kZ=6>aMWXe`<+7YgPyUHgtj zQC62%TR%e6wj>i^hD-ifC>q@IasY$+Kk!rY@o>vEuWIK`pMp^++_Ke=9+^2kjDQes z$wklBH$OVu^78GU)@-~pBCSdQ4VIV(~r1oxqp|E-H6KJ0(QO(}xiJ3dOaPmuaQ;9;| z(Q~)%9qC8=ghkNa2C!DRh_T)~V(iS`S0t+>gx+c@Jemt14-M=${XBS5xaIR_>gBy> zOG*Un-9*T@GV-r(dgO%O=_G&ZKUHPn7fdd_;>K6bBocr6Byw`^&tM9KM8Mt+;J>h( zk@ov?;OyT0WFZ+%?+oH}9v43N))P-oZ)3~pSa$2RQeLZ{Ygj`pwmtgu3yA)r$+vf0 z(7TxwG(me!qLE}8KMzd3xYv*!psKy6QtKa?zqvElHlF(OI1Yn^TXxgdU(-8AGD5BO zW(e<=i|=YEoh{{k+pG(2?)@0F3a4_N$n5MLz1_0#*+1;Cq4#5|b1)aau;aUr5__rN zCLZoRN+JQ^a~37oPgYp?{`6o0s2JH{l-Hg}o&ECVF@F9K3e`!@4xU&`lOn@S5u4Ax$yRP z&i-cehH%S|#=r4JZ|OiOPlAryztF-c%T_%3O>a;NM0@X@Z+h>f`aTo}`KM)g?Wm`b zcz+*3F~}Ex3t*OjFEWsSZJ-Tdt0zam2N}4_U3iU&fl&ZUg>i?dAD;T(zZjWc8cM@=K23q%;_gqcD9T>>>-ZSQT1T0NtC|~`~P?CS4 ziGkLoU*ES2B>!+B@o>%|Pp@bPv}*nt|4tR#ANk1Fh4rJ>2|G473iiit3w35Ez2S z99^}To65T*aA|pES$tZ>z&b_ z6A5?-1Nr?^Zs}M8?#94=tNO_V+*)9sX+h5*sLs%zSitiMm}a1LKCI_b0&YSS4BDr9 zdM+m5Um3`!SGf5#1bmi(e9VJ^T>U-<`b%_Vf}vc0JwvT6;vTMl2?MQN;huFwbQJ@6 z|BtKRNx;Jy_&baH-w<$52J*fjV?IQ{X$-vQNn9=C-%%3e+qVSp0m6I%f1DX#;bAAhezm*E*>z#Pv-De%#lk7y6VcW7 zE~r$P>8J_+k7|V}4hRF<%K$DS;j+TQr*JVB#@l58SK*`1Lh66vmrlsH_4$JDi@3B5 zv9L!OKyk$VR}b9vu3<2#(23~$Uij2kE`f5ubLD^s8BoHUQysH$ETI?Z5-w*8&hLeD zzNOHGNU!8N0Ykr+gxNU@3SHk>t3stukw>_wyj=!x7TVu&Lt23j-rJDjrR>BhoK;q- za9kO{g-w@NI04powm-TO&w`Lac9j8Kh2qyphtb=|NV;6uua^N_g%5gQe@=+=dx0)a zasr&+3+H@W;gMy9g?-8Z7Afxkwq>P-api#KGJsW|q=hx~;rV1jBvxKtAwJap^YoJ>jaWNs1EWne@78q8 z3$W_4H~vP0`Xuw-2R2LS^uPtd;%f8j2lC+_UZ&AUn-d<)gdqa#%>j4LgPkQD7sKqm zY^Mi{6M@3@EbtsehlPeLa4>YxMupus{vFl(7+OYvmk$DkrImGt^Sb1JX^@_jS(Yij zisz2Lt%z$4$H@p@e2s9l!7f~(;5FXGSeptII{?$im}7s}T-u$!V)2O>B7BQXu(&IV z`d-JMm^XwUyde}Fv>kTAXA)NT```)DSl?Ut8`ty~um;ojXME?y z)3@nMAOu0agKt{Mho#KF(6?amuT%s9oPSvT!qsQc0%fQ^9X4k?+#M$SN`+uY$3NU$ z8V`x2Vp0((5X-jOAV~a;DAiPXYGSx9YhlIIw3ybYTobEOkU(O~gi zd~{%e(V?tZUJG@?)P2a^HEmn2qmP~lL@Y{TXJZr=w zT=d4)zcVStNC`k(!}qHIQx6zEpg!))IGguaf!&mtF~k{Q%RmBuMSsH1`IrS zeKnlz6p#_3EZhuS$09L}|^O z@R+{~h8h%&<+t|+g`*ZfBp`S!qhjv&SbfP+K?K8~wjY?7Mm-WC1Unm0AA(2FZ>0S= z>0*RdNR1R%pnxA)FvKbF2HRqqH!CeE#CBq&P(_#mR_KG;pckQ+7V*u`9;>OIPK~)j zh&l524UU&N5X*x4AIzJ6kF}g3ty4L@474NWk6ypNKXL36(W~nyv`o>f%HzwfhA(^CGr7I5 zpe>(hG!rj`P{rL96v*h!GtclE-ZZu9o>UT*6OqgsV*;qNOR!+ecUN)HY|EcuQl~}E zKTQ7sbn(L{!AOe!TVoVZmG^|W>N*A9$_+NA;u$S5=?wE9BJ-eO;Hk&!JpZ`;Z;xN? zDQyQVF&X+Rq+aO2)FBl%PPU+L6SPV|e{4bNJbB>@KjS`RLGj|ER(MN5|7Jn61f?|s z(EZASW(fLATK5IG+E7ePB=9S4o<`8HfF5K)e?U-LvIJ|ZEa)u+eMLa8v!Hhn z^dSL#OhA#|_56mww+it47V^UcT_d2{(TcS%3Hk#8ooqqJ08m&ipo=VMCqWko=qd}U z6LdQMcq7?0ItJUb{+KU)47-RluhIE)g8!rPITyo29RDZqe{zj}AUR1vQzQ=J z$B)1mQ#_a->7oL9jMS}()UVN(GVl*BV5DJ9q;ZXY2#U-}PmRItpx}XFk)}1o3LggeHg`Mm?NSDGV{{k^K0+ zdXzN<>T)i7T9(P~GKOqlN8p6GZnZH)MGP+hUru0s0lr(;YVP}VbBSD>)Waj?UX01_ zDG|)o{83!CRT*&-Id`Owi+OS&lp$)XVuOn}Q5>^$MRJR98zc?W_sm$&ZD#i~4MIOc zGf1wYk#fzj!Emcctb$tJaEe*5b2}F-l#L14FBrDH&46H0N$(CW?(nwMJ9Czw!kkkf z;}NpzaptSfj7oQaC1ViJ6kNNG0la9YpPg3ffWEhbcMgfv-7&8|8N@T2d`Mw=5Fmx) z02T)GoMs#f8a_WRqos3LBCE|5|AnWhmLH=TYf)^xM1MBn52I1+cOzE)A}oZ*N3Sf^p9EPk zBp2vPUM!(HsI{RI-%QXTQ*}w_L*%<+R*-MDN@3iS&e?f zi!wkt6L{>{2!!+s_2hYT-V521_)0v^av^f^XBY0|D&z#sF5HC*wfqDm3!kEkDwT~N zM{+3_5j;(0+cnY7#TdwujcD3fZP(+)k%Gnv0c{>2+moHxV|}+A>tQ277}YKyZjadO z2y`s&f3rcckp7YR=JQ*Wo+9o#iRxKkZinx-KAANv26o>MJxB@rLiii&+YNu){l#7J zp|$&pv*|Og#C$(mNrb}12th-EVvIg4;C*5b{Ec#oQF?7b3-Q>$naXo@Gc~%Ff@TGP3%(CCDY?tzXcsRw-oAk8$;Z9 z40hl!hFxrx{tt}-nlErOL{CQByE(F9En1!FOcXJU_)R_>Bg6U~{G!x6j z4a%?m#>nF-goB?d+$VY!KE*Vk23h!M6a`oc#S>8w*TNZ`8luw`0Z`8$<@1M&t56{B zsa+5a(ml1!FE?zdqoSYFWJh?UDr0@d0VoS{wU{p$3NDoAYJ5TH;{Q;|E4BI#hhS#TI)4&%O1 zIJB@h*_`-Fb`nC~&_N8w<;^3p5$hqm8WOcvLr#39v6j|J)GA4i^h@eA*S|8-^Md*4 zD|yds^IxxQ!*4@_)>yE&lm&!Hg!#O=)5gY$G)G03hB@m7Goo78p%zS3)Vg%zIKDB6 zWdwgRmUuM?UDDjRv2nt3o=qkF>(T+lj#NO$87LVzw873ah7aR?P)w;%W$J^Icbh{J zNcwS1=0-T3*4IZaBx0nDjVe~gIesRzh>D64873pn;0Zb0JlG%((y{Gse3$4B#^4!| z;z9^cdnHsn3aubVU~|SKTmY=FfKI81pcMpLYheHBVBcc;2x%!qW^^B+AQkfYUCkfM zh$Zs7aGBrjb^M_8_1if(m?wZ)~XY0&p1sawNwoKZzk3 z#?z%#%;Yo#G0$Z4p;voKyOL=8i1R2j9-{$8unn%0{$wB-Oonh8*dP>yEnJ}D3R{%o z4CPnHxIp~L)?JMc(#vYHA7<&bu^n@X2lj)g*H;_?gYfIG;BVBuT=2wequE?xcsk7F zR!GXHOe^yGm=Xr^6pRDQhf&mon1XDE^}#IDHnbBl0@dM9@hhOj@>y5GZdQR;$HH*1 zIw%gIr-J&|KxZq6d&TL-m(W^mA)E#;FW*lO#IIIrbJ`J z$b}>MplmwiO$C~0xk=oHLMb}0+~5|~3B@49ln&>jt3}*2T2At;Sl6CS1=qFL8Q1ee zeJZrBy}`Jh9~vX;+MA4f`FnH9zpj0x@i0H+BB}5?9myqbcv<4bZ|uH`24gt4>-OfS zfGlD}4X-Ark;MTTC@Mp&9iA8_um%bcSz9l_WuzQjOEQc->xc^%Sxn$ zm%*T5r-(%LeK@xnjrJi;kH%V%MQfQp+)5RV>qyw62|bR#X+Kt86NC`fllag_;7=b; z`@)iVn*!6qK&Y6aqH6p>7*FFv!)FJEXIwD>Zzvx_JpGO_#60|+v86qP`Zhu*QA*Je zfy2Ha87fZ9gJIe;I1itD5?&wWkI_Etv<5L#9z>luR=j&bRAiIEaIuBTD&(+~H4e>T z3zNQ2)=24H0>_^zi$v16{a>ccr#v{Og|iFdVgDxVsCB<>+yXX2#;@_0Gd$m?_UhOFKhyHo{Y9O)xTC57=tNFxVb{kE7>7POXy;X@IJ;9^Jfetkxh^*Y!+|Qde z`~EuC{G&HinhxA(UJK&w0)e%cz?z}p(6)g_qc@jB6mPbw6qHL zYWlY&PBQ&d>7%B9n)sk5@q`r&zqhoK8iL*s%pz2S9<{-+SI2x7xe8QBGg~j1-)d_u z4BD*GXYsj!8gXn#K=btop7)UixZT_d+;Cw%kR3N%Atxlf+{uJjA|`St3dB=^C?*mj zVJEb68I7=7U}G91<}pgD-MSj2DWu;Fa6h+jWz&P3c`@Mg1_(@w_b$icB?HIeeljX} zZNY2?#Lb3xN0ulufngZwHi?QR z4 zB*kFWJ0_lP%@_XO?fHlKSTcvde@o_QX)?%;`4FlSTLN7=lYo%oWTA8_av!YH__U`W zdE}eq@WR9B&N^&F8CarIl0SsIT@&Ybk{zCePSusD^QT&<{Sq~gmkNj;I@AZba`GsS z8(@Ny@~2?#aE@qkF$svKJt5FJ5_FK>TMGcP<54zw5UT;EHi%bh{F&musHkbLXw{e% z_%SQ+%UJ;(X1L@1nWZ)&%+_Yi^SOmmz~l+trMLpk$Z+83?!nxL0#=-$!93{bUHBuG zO)v{GuD9s%dqDy_XJPa1Vaca=Q%#=TdwfO~JBmD=$H3M%9wmv0@i4ket1sBZW@dP* zn)YWfS)Zq+0=cOR&?`!mvI{YtCf~_u5y%cDoHvQOTE0m@C2}f&Su+;iqOw>}A}4iH zgMW3ejToWR6brrx-;$TL3vv~M+dp9m?i3I#9%`YXh>Fv zs0)igqFJ$fPwxmV0}V_;V3i^$r2Rf)2Ju>p zfsAhLI)NVWmKeV{No#(1)yAh|RwH8)NvjsN$x|21MN^>+H-St6TY97`A$~=V1)=EC zT@zSd_2JF2Z$ObEl8@i=MVtvC@`(gr@SMhoS-1~Qwt;isq^ z4--AQAOhlFl~cTkgBYJ{Yn((22|kD+gp+N|x#Se)~o>C|7CZ?+x!&Lk@bU;m* zKmA8b>}=HIeRaRbeDWWeWz+ywY7mv^g=5GmHn`kDumwC(+oWHcscb6H0-mUVUMZ#^ zM!o1r`6J81#X59<;bBE;j%G+OJagB7W;_>}OaHk;nc{5QfZ{CM7+!IN@6;35aRR=F z;+jiKNM+>TY;F-~wWg5tYg#TQwTOi+r9}mLL4jhJ(Ln>A_CLO;Kye95NCKqYgwQ*A zi_kngB`I`&NL41C!duf?s!AvyexQ_}O=ThHDogn&5X!Gh)p3DTK3Lwkj}QGAN`ijR zgh`m=KB?P*@l#c~n9zqGONl`p3jw_RM88V{JE_^Y$y<>W{TPWLb>1g+5lITxbkir< zk}%IKu`W2IpAHFwp9(F8tQP54L%795Dz`{K7Gn3`LA@2f3F4q$oXpk>>yy^omTD7( zM+m}P97$Cn&a)u~NT}vC^sEYU- zmm1eq-@+3n(T3gaSl*vXVI8On=iV$A#uyy*WAP`Ue@TM~Qdjbx@u~4$lvjKyn9tH^ zI|ID)Xp4>vwt7<-Cd_%CllLF``K;1@rkyNA`jsqqoopR#+psy5cB&r%g1>w6PwF zx9IT2kL+x;2kU&gJw`8%TnXICg(Odlz#DG;G9yDk3kCxj0%$OZMAQIPldj(Q zcXT(B8^M+&#~u-SXrPCGRd4(~VTd>g`L*~?VFRU~q5>uI#Ev|*;1fZH@&MJsq2!>| z8_#6|?A4g3(yBlG4iy)zaMP9pEX7zCZAXYzv;}Fb7;tBA`l?AdS1_LkFJ8e5{rpo6 z%DHK5KJX{bP;k>&d(j%iK#@rW*J9l-w3hrPqn}BpBHK?#BgHYWq}pX!aVj`P>3W*t z@(4+}BNf3pGQ3g-OBD_o6HUpno?T$66$9&s@z$ zDW3YyAwH7TBR18J#c)}*-jByeCLSH5w%OJ}H+nnOy_82wFQK}II{B(24rnq@_0E z!~)}+=WJ^AoNnH>w7NRi~n~09po%IbiXTi^&AYez2kxAGvpS!N^6FK8i47 z(Fvz&Q}KmGo!nT<6PHqI*d(!Ah>tX9eN#6c9C{KKMkJN3Tov2GT-Chbo7^O-gT)9% z79ptKQ47IcmGJ%^^~roqRSQ^!2)vEMRKr1WZtaqZo?MAr3)By3*lR;ry$q<`Xbu!#P z7Lu<{M*6YTgU^(|KQF!n`n$xJV1Kvx66(jB6VX%xnUpZcL^?INdAdbK*_L8QD_Y`N zs+@U?D2tYBfEpu{x@cg9$1|&RAla-nZ{Ue6&!iA@t(laJxpdnRTsh9OZfoj5Rh&_l zt2qG`!fq%X--s?~9a=rs0V383_2PK+%eWm*S*#tH>-A)JA^;5|#_J5k6NLksaWN;z zI58_maq0}zIT4-CE+`^MMR_7bV-JuK#=vb}PbNGWD7h+q;=q$$PvbOh4t$6O zAfikG8^I%qTpZhvhcT6d6gmfD zeossODzJ)ax*vNUleNAd;|Z6p6tBi7jaK8AdD5sbpw0)J*}mKiEB0cxwgCiM9h+HHZjAZC2FXtjbk&ECNNx%Z(9)1ufgh|kV=F9K{O7+d?xo`L(}NLb7tlgr66@)7 zg?{%bxjMl|7-2U>SraoNn4UsBPzyv`JOnWiSq~w!tsX?mC6L1DB&3_98&CY&&9Jwn z8s^>d_(vw;E1o{^VZhUvp`j)kRGB7aV-YGF74&2erZW7n6@A3i7#PA37yUvff}SPeLxn$YG2jn*+Bpj9mxGQL z%vB+>(Ha>>6um&gz^*18H#z^XOR|Lu11VUP_G`vr@k}(!02$fbymj?5JGCEe=d$J`n5dPm$LNTPn$Dp%i%EM(z|kd zfO*9e%O}2mdUD{vFM*@?4*Ynur|tm!5N?#4>8kOrBy!zxtdmf?;2lT2&^lfz%IG*m zN{ssSt+^Lgi_{HJ+Xhf>aRx5&iHQlDht0(;O{li9RohY8Q%^6(86yJ z_zMQEAbf^1z8k(@T=CN+@D~mw;=pG($w` zI|Y*U2WoWWK44pDW=C7Pv&tApW+WM>5-`q`v-R|ZnY55Cs*{q0cs~cvrD1r!hIn4* zfs7iT4 z!wLTe>d1A@j!c9Qju*l|a^U_dPlH#VK5#^pr?CgaGfSFfG{+Y8PHvuqn_DbX30P)2 zO?C8ypRQ1%wwN9GJT<&^+(r!E>|}6?&0zn){V7k57(6oNX^vsgk`kRiaBsDzp&A2~ zRQk?>6Rt2SOHa7(T5@7DGBG_oBlxwNVDT4DMlc*HNnJFMs`ZQ`MpjjOCKfPkkfez4 z0k)iWL91emMEDX0Ajut-Ku%0$LLEINBZ@nRMdF9HhxMX+iM_j>?2#9pAQX8Mdl9jB zRoYX(@xlk3nhP40{)mxww|6UyUfDc;Te2@7~J4w&>_DE-138BD##Be z=aL_MQ}Rb8;E$rW`$0atguhB4(DhtNl1tGE6XflGuG*u#1yrJ{@g|lP#4_&VsUsk7Cq&tYB$evS4QzID-{y#4^}aMyv6O`hh`Tx!U>vL7XK0OmAK zAyFx0(|Kv%P;Ik&6o$*C@a7Sf?W>adWob>?7MAqi2PHc$lltu5RixNy-Q z2ZvM!4#VZ58Q268BiwXPXS&@M-7{Qt-MCZ+x{-mCyF7K1E-AiWIWFK0M(%R0AcZbfB^r6`2f-D9Jo8D<^!#e3+4mo z3>=m7p4&Dz?_^XI0TRLQ72ww7S zo+|<)33T|t7@)bR7k?!C|CL~<&xZF16G{v;<~=QU9p38M%YzxVidZ5rth^MwaU|fm zD?M2eOSv#M*B#yoUv+rgz`zG>o{a6umwgNFWdr%qo}Al#2FZQ+g&4R`m>%#pv*kW9 zk_zVFSAeQ?pDTvC57i*|AuM(u0{j=;hv;<PxgRTi=U}L70XpC*P?BwNZTwPsRTT_X?eMVlBOj}VG&o0m`V;Xd`z7|j8C;0 z|6dbR2bSbH)5I2sGZ#d-hv}{SDLAwvD?M3}b>Jmb+)n0X*PsN+#TdA7#gyz?s%hnd ztC_gU1+N|W28)IVSV_#!T)0B|3YW? zJJ17O{I^2)j$DxGUk|D>bgy@Y?h>zrQVj~-gvFto0RM&1P4qg+3w<06&PQjwD{lbM zj+xP;CyAhW!@%lptg)5jaL`mJsQLf3_ulbURNLG5+IwbBPAVrAq@__3YC;b+0fdAi z2`PY}CPEa{(8PkElLHu0upsCGMFkP1DWC`_s9-=qk!wY~q8G#hii#EM_4lkblVgJ5 z_ulut-~0aaR?;O|@E_=s?5|azX=cr8qN~&Uwgw)^z|sCxM$KxX zuDmp}W;K!J*gq49%!IwjrHj^;zZSIb;n+VLxRLEeF7|ch*&S;9_j2sF1-@W=k&As@ z`G%l(*j?fW_Q&j)&SguTeczK*;J z)|(jFFQ9J!7}?Ws$%YqFF9aS()c$9hh?g1@M8v?xNp{_V&Brb*On6`iFtD2hc6L|T zzTG#_v6E_}rUgnnsrrE#os}=)8uSilsIG^vI`;S+7t5l&!NpCjWx=bR&wWC(3O*;T z1k^d9ar5&y@^jV`n!%lMLW5W9ob7~W1M*ROf|(x7HEWRT$DI?J^O&CXgeLHQmvgUU zp5P3xt({@?GQyIGE3i7Syo+kal{cu1N>nogH*{6aV{Q!QV55_R>cGaXs%<^zYG?46 zANZo{xs%<*$!^gVGqR<2M)(YLNuX^O)(3q9+%jrTpgc>p@Z2n^1{P$gRxvf#m}_^7taEpZ9h}N@ ze@exv<&JazqFY4HWKoXkqoUY+lqoTEBk;*3_;&M1ak&3L+GZlEAWwL`Vc@1Zi){J`@)RP)%|gSo-u)SMf~tSw$4 z$%3<8C=K-LsZ!3Bh5ej`edox+j5=A!x{J-6u5l^y>8zS&Y(}!Rhs=Ut4q1a7I$qi) zYcV}r4xI{n!8suF9Chvk@*AArzx|Ql|NH@&F9HM_^-_EOd=20wWbKawGP6G&koT}K zctFOv1V(nv!g5cbUhmr10QUZc?Ow4}!vYT?iWjSY@e|nITQ&J(75j1>2Q@~#HqbLz zhoe8vlg_?cex**_x*2^%6941chT1}68xs2vu#qYthb)^+ge86`b%RtHW-4+Ng- zqmpf0M8IPye}kdZnNn!#Ll~;B4MYLb3Sc^EIN<6+KzK+c+d0+|_!t2OEUH}L^EyNi zil5h@mzGK)UC9JXNkgs?E7qsIjUF`hZTP>5m6M885BE8NKO8+Ij$W^EByF021jGTZ z#3AyeV&rDp#K0Zd>b&r_x1J%Gai-w8GX!nF{zCx2PJVS-37k@^lB@rLJf@A{6mn4q zm4SjBm0&m3Gv4Ilq~PMW1ge6YHLw1RBYebTLr+C6@g6`9w?dS+YNAL0g12h~5-17! zaN>O`@mlEmlfICUl)XL5?z6d4^o)aCD;~Vjxpfln$Hfh>8Sg;UysgoqwI^*P7l0oF zVY61Vu#)6}mS>LYUp)%i8`;`T6fI-XJUCy*zKyBPZ>xF0Y%(5X@hLs^YDi?$dzi<@ zORgNj)cYYdrtSpFUM<=AAKp4wi%86|!w;V$6Yd(egh$tq{hZ*W96!iQwPjg*gR zVU$<5Nl)7SKx02A9*61pFp~0=B`s8>E)0{*>q#90-}h7PdvBjXl#2TRX*2Pp z`h^G=PMbPm;^lZ2gD3+nziPgs)Z#)qbg9OBbfF(uoYxt&4~9TQX(}{w%m$@L9o=V)JA3mk_tRV4TQ@C$nUnNa_i$ zFWQh1M!l38>Y>ZKZm`jAPxfs+B8rX__ii6Uv)bnYKWW0)IFs?s(7g6hv>w_h+B~3l zdk-z?J8YDPl3TSN;h{lYhm8uOrCrp}F#0}|@n9k2J3|>C9kIS3j5@VmU*MtCV~4eyw#_0dS}VLqA*&WvaiTP*FzpgD-lNCyRu{= zm4tgJu{qb)`Ke2QyHIByvNJbiL{X!@oZXPjaD=y%gu`lH&8J9!wp3$`~n{7rW* z{mka$2YBdjEtU)lqu8`#?NaE57EcaJp(E{Qpxmq4{FI(T6)k5Jq)={i#!FLXbWNeZ zC2`npFl+{@sI(2|I<>{6U83kj%S*eY(Dykr3Q&TUT#o*bd#Gb7*U;c%#`|C&MlWA* ztX&kn4f_@}C2>!vhZag5{L?A$cwtkB;aCf$_k7red(43@A0@P+1||1*#b`2E zo7r?cKSHD#=nVfF#!DRe-(Qcvjt=SOjedRZiEWz>v8pZCzc(qvVV zz~oW4p>^k>y*+eYQrjUs!zfb_6O_V)_Chxmo=14)K2JYB%E)0FOYKA%-Ns>^gni>- z)|EaIc96DZWvTNiM5!bnvIY5Ci-rh_dJ-8|9VME8rXSadhhL!!I9KgY9ax#)%r z<9If$6kTdR)>YDDqWgX*>ndrj=pK=HetO&%g>=rtdqX}Fr-kQ-bgobV`b8{L^FumM2m4)g6GgX}l;#@k zA-ct62|GxinOSNHg=l4?4SzO2GxKnaYJmqI(DnO$W>%<`)K*NRFZj%y4wfl8-}$V2 zlsby;lVPlTl)8#;XMff`Mp>eJKy;5$FVVFX-74xMy5Gg;D(VMj`{=eNg`O<6n$FkU zp`ua?J$bZ_hD*f#{R%x5>IoVl5%0X9&@&xuw6LE$G#iwq*3(52?_j%TgYswxEfO}d zh*>q=FJ9*KZ#Jkx?V(2`-etp@4Vn(Nigh+M8NkZDv__Qg<+E}xJs}Zi_ha2Y+90|i z7qD(0ZE~`9KI>kl&7!+Y;=N4IitdCY_zGpEeIo`>9-N0yb-snC{C#wC=;Xmm)a&%F zSQfPT=kPpwgN_ROs*u@R^ohj7%JjP-d32CI7v(*L4m&BzI|ng4L|h*ePM* zF8i9_fP&Woq7%dNTOA9A|MavvOy3D>T8G78IppXR4bOeSvK3Y4`s+ngQu>^FicT4G zfvdW`U@1D*nepi~)*kBhf)!0mES8w<=fmb>L{_xDkJvP2tPEp}O=K(xXDn*Vcugqd zwo!K?)|07=fU64@11Ajv+H~hYR=+ve4^hJq4yW{FT;GH7LgCx95!eb@;KEh75JGG9Qw!5*2t5;Dkb0wU9 zmG%_+g4JL(!Z*b}4!lUPZw!aM(Tq1rc%X!D6Z~8-Oe~v=cKRsJ;;Zpb0++;Z2HxX) z7PuhldEocH7lA)T*)QQwMZK4S;l2YvU;G=u%Y6rd57p;vO%V)j{C7zDHs%U16igQE zAh@Iv%gYE%{m`!vqr=v&~@%!`=qjUY{eMkjOs@UMo0Dj8;lGU$Cd(Ho-lP z3&9HoXN%k;xWUm%*zv!i@CZ^l6Vd?-y zNr`6(z9$*-Iay@1sh{Mub|zX#TYe&~xI{3lR*UYA`VvY0J?>lJsJI`2-F?5Ek%v;r=%YjvDPl6>u~+%9#~tX8&am*cO( z(UhOr-WN@SQaSkv6myv zY&dG!@+$jp}vC3HWvE5RnzG?zUs$!EK4Z6CHA>9UngnN4=t~frjf8??caWFIKs%E0I>7=L3XHlo-j;Wo&-^}^0g~Qg3Xh|Ws zBIU68?JICrzs_a3n%Q?Q>u%-iP@2z|^r(t1wtTpjw1MvufL%lRI-Fi}S-z34Bj}XN z?0-NRNj^NuO1Oa1v_oqhMa|kd5q~SV+~=e5L3S0o(s5ya`mJE9FP3sMop?QPz86pZ zJ2|Y#n(m7y{&o=iv`TDW0v&eQ@}W2T>Qgh^hGgAIJM3oPd9=)>_l(Hbjp$dGmA9Jj zYfSmw*tCjzlq~c$p^;fm#0N_rKo^PV;piUK`8t(`xNK|6W4>mzLzthQPIRX|7$3?Uhr6`n{9!9CHi0!Bu9Uv$dpIt}Z9n2R6^uO>OU^G+N}cE6_0M zwA5w0@c?l;?RMF=wmw|^Kj5-e=xeR%pv(3qSJM9$wsh~FWm8)yf z#s~JJtNRvx9W91?r>I2lZ%ut*p~9-XkN2#=SyZ&E+tSkq*3i}YG1A&oimSW3vybfd z)Y?@(iD8jJ9bM%%6DMW-ZaMs`^1hr^L7CLw)g8|Afem$aA>kF&fr?#S<8U9?#jb8L zMtVoO%+<}psOU(OT-|qFE2xuA*SSg)%1%`2Dz7W5pw2Yc)y*mLfh}-#`@2_A7h2-# z-s$cGd)U=olvjZ>#Wk*Oa-I+DDOcB~lMkP=*zU5%ohtB6ZhMzYKWJUz$)f!(`=)g~ zlyAFiUWY-tJH79+WgVXOb*E2Uc1uW!rw4uMvXvq6)PqjD%%5ICJ?VFs-IMME^Y)e+ z#c7HU?Kj?b>4t0{KKXRYWh2#gUmu#>&oP}e+($#{JD1Hv z4*RTEljub>ZLGs??Aa>%0Xj6!VFL$si++r@U*@o%LUN+l(b5SHYtXJZdOOX$!eNi) zTok>7vajUh50ZZXd%&wH<0?n_Ni!eqCiD*ctD><35BOf9#SMjxSExtv=?ZSp2Ze@N!Ftn<_8$g1e?DF1p89RFxX$Ch-O zPB8`BH01W^pQz^z4(r(Y-speQ%oz@gK;;{%+f0Yu68ccIrP|!+ut~jdj}BGiZgN=9 zPLD-LsZDP4jvw-~FIFY_9bIK7yw^ZAp2ZA%UtjMLAAO#xob4!|>b@bmiHexxu~Nc3P8cfZ4O==12|YX35a-Hr+Q zB6Zbrhn1mWE>@jZIBY<#mNZ_Ce8geVm<6s-hg~*1uT}Jw>XAnsoo)8|IrGq?11l4wQifE zn__l~S*w10&S4M0a-(YYg2Qfu<&)~r4u@62a*JwK?XYiq^p1H>^?%7>_h%Kv>{q3G z9oDwc{@Hg>W$bfkbByLgD(Pj14Z>*tyQ+M}VU@!#iTObFf6ZaNvk&+_S99KA=BF#V zZ#GYWb%U0k(ZRx#V zI0?Rj&gRkUzH}@nS=AoArS&U^RcE)PaDCim3d^}jJ?%$Fw=d_Wn0mI}`m^Jvb@yV8 z4=(=VDC0tJj)~RTF6-6ij+h4eqhB3ekCJLnV?FXWhyA_iW;~Q@{?lQn%zI;+>HWg| zG{bs0rj1_wyQ7@O}^#^+DsQmchy(nw29fC)_278&_1(< zt%>QQw+i#qo(`L125P)v0G58*)$aM2JiRx>v24`zXBwF4Q-p29aT%|(FVrszbIvP9>+hm* z{>$a%W%p?PYmDQD&jBvdo8lbCtNx4ikHY+vGO{HY_U%c$n@28Fr8)vH4rDJGJ>H2a z(_8T#J!T(6cd0Hq&tWk=K8P8sw>NPu)$y2eeH`z`Li&Cxgz1%fPNJjiGxD97t8kau zVfTYo=v~bnwtnP~F%$J-ynBe_#f?(2lXXU#!+5!VwVva$&Z8n?r|FaFj&4wTgV^i! zs#XpgQKaNux0EFox~K3PY`D6>xDUOf0N$tFz=+awy`(qk6bo8tpnI8 zmz_pE+1lHNy;OOB#{%8f`7Rq+P~xf7<6Tx(5KonQrZAlUt&i^(>(`rH&X*j(MyW$*g( z@pRNQhuPjQL2uLRT;+RFC9(7LM=tvYY`$*X-f=Uy-WWW{ROGVD!0yoVU3RkGrLlMF zT`n_ym&V?ue|6cnapPkb=uR1qm(cj}v3KjMTxJjQO^jWrA8~0Z*dl${VPqChi@irj zWJ*MOGr~vr>IOk}Lu^2g6XvIxv3B?py~)*`E~<>ZPk-dHorrh8J{4p)#4go6JFriz zglt57P|p`yMRBQB(GTfeE=!K6_B^cL3bLx$mAXwwCt`Mt9ll!66jntSsA;il^g5SK z!70dEy*0>gh+U^m?Azu9J<)df6S_!P73HiNQ|Xm67PvB&i;mwg^y?fG246=YShU+Om4_{|BP zK)i4COkq{jsbEv=xB4}g-5;?g<`?~4knN1M4P#uE6VZ#Nh%hz@tD^AKJMc2fuU!_4 znu#_{Y)#}@FE%0&8*h{f^HVBnrlIkKs~a3)hc_~|ySfLPY&IJkc$kmlc|T05pe9B) zmwkh~Elq5rze^)c%z0MGE7T%dW%vG2QsJr*r)C zmW5PMDoP(AY8LBy16W75H3;}{aqFbr)`WeE=z{fHpY0Dan{-z zl`i9~wKe9u?AFw3YG*vsOOAh4-i4_Ow070BH#WGYFX1vwdtyl>g|W_MU*b|_7h{*p2y34% z#%s*@`saaET(dBayUGt!am~W`&Sn4fR!}!1qK{LGP@I@|Ga9(;Dd@6{43|CU^?~(t z*#NABx*J6<8;xr#-HlS0J>9y3dKlLW!}0I=*0?`w%yE@ZCgYlgvD9VHVWr#CSmiQq z(O$+5mvM{sGWNTSTeP?Fk;}M2d)H~uJ_h%DLwbJi@EZ1#t*%J?I5x*szNE?%Psa8O zveAh@#SS#S6sNN>(kU+2FteSy$Sw|x8&bz<4SNYb>&0CV^irOf5SJfh?6b&dC0=GX zu-R#`ksWlJ8aJwr(;CK3)8a-4-IOP`kGm+y*lC$@nd_8&UTVw?`mCVK>iDc-@M$OZ zj2j-$&7~>vZ^Ts_r7r6Xw#!)Tvcd81#_cvPRTvR$?sOSYGd{2;4}ebrbc%umg+zIfgE(bav0cyAaP{B9vk!L$hx-!`&? ztSa`9u~?X&`XJ)rItz^VjpMG47Z@KHL-6V+p2+z~`43~9%lJt74`Z^+c=9@8%yk)0 zUPp{Y18gTEA1sa<>s%!tERGsmUB(BX4~^Gc#s{Dejl(YE1JE(!JD2eR=$JtR9iLYg zSI|dB1D9Q2>;r4&vYVm%*yuUXJ^tMd<;O;@tL&LmL7y0;@5Fs1{rtKZ;XTD)EW2R8YkT(vWtI@J6*?T4P&2H{7;U~Chqx>@xRn@`nwT> zTQN1030|r$jC=m?ai*E?Fv+%QKH}=Q=bPqsmvPTGO*7AF3hw!q+1O>=^DQ$&7><9B zL^X={nB!gL^I#$7GM8NOJHXJP6taMqTFC#v} z-0HH9V3Fo2htXxKYkZWMgB2#c*i;$bKR(VJ=}@p?@eR$r!u-?>Yx!ie!4NT}oS~!R zQ_P_*tBTkVoobE=vP#`9M2YhYJBA3}CBG$xa znwy0BDS(JwP4faLVxy*0;=7rhT=ol2tFp}OAiE*9yE$K&pS+0I)2w|C(91mR>UfCu zHnWF`PZ^?p%#kijvN1;cnB!c^V>H{G=`tRp+2&lAjm!R-a?E8eo1A?)SnU;KUla8i zTwv5N?rhh`;|+_Vt>Q>O|}6n|yVOL^jf_=+H7pY{~<;#y9pn$v<#?})$FT{$E_ zW@DUOVOY@1=xj61v>>}7_C|A>Fh8xqsIcpFwn}rCtK-h*H`5B8tVQ82;w&@UWl6Y; zILjR3vUuD@oNe0UYLvK*IJ-`Vnp3ArYZzDQXYp0RN-R(OCVp;^ah1+DCyGy}nQk}d zxG7{8Q^Epsox`L?7no!hIXUGjU0^nF8CU57v(#l=rFWaxyNs*!ZgalN9`$(=7Miq)-WVuX&ZrBI?B@1k6W@-Q!;?(8cCqS9v79QNj{4uEdF` z6B;GlXAW`MHE}5k_nUKEwg_ygx!q;=C!{AlV1DPa=fNH{+l+9$JXJ3v;UROJ%MO4o zGnbBVkAE!_x+W|)-*S}$z#cXuMoL6_vvu!;73N5nwTl>>u*RGjWF-k3&EvxSGzOE< zGiJ9@PP~aFmnJ-GPIg&rWVPoxvogr4Vt1H_z~uVp2`n&nnQ0d~5!1X^ChRtOrwVt( z<>A*QykgD?GJnGB=5b+u8jFs2$m}-Su^d=(Wx~6r?XnLeu1olbxhTl|2_Kt33iH!_ zNbjVXI|lLi{$Kl{mnM8+Rx$;fgq6@K^R6JPiv89+F3eBQqlBl;ZWlS0(^0}7&B-oH zMG1c~D}$^m_Mhe~MT?`C=#D>ah6rjyGjBRV>mOAmOQNk`(?c+gLYq6{2A==IQ zRaliR2ZSsuu1xagv{wUf`bP=Ue2Q4QnS*88Y1J<-!PVcYdw1%O%p^z|xX-5n-}%GFjsVGA1kGk0d#YHO5hxdZ1ltF1DZ{SD_etF0?s_Cw*- z_19QaU8aksgUxW5_*`o}P;NU3cEdKSE9*aL9TK*X2DF}6-`Vrmr5iu@{)*sX!Fx4Je)llmo58qs1h$vb zFfWHUw`bhh9_cIk1kaNF88y8f!t&nYf?aDj9D%2QYKQUEdoo*|--G2H!Z^G>iNn~3 zh4AXujHj9~wg_dpfeab+U@w&4r03IEu~{OlhigUONZy_BE<94HC?Gcfc|`mFyH2wt zb1kHjQxdr}+i*?apc$wwlct~!EV>bh*WR|nj#cva!3Iyl2OsgcW_?&+fa*2KE6r3}a=HyC`35T4qWT#1SkFis zcZCOo&WmF0_mQmq8R(&FI&+4u>BSj3*o-q|bMF5AXilt!Xc|qS*__z7xt!RAk`;EX z=&!Zql5UwTWm-R+9i0cn1JiJ)C3iJpc5R4j)0M9n!ZxL1Z+GW#eU!|g4 z@`X|>Jen6q0dyQivw)hm_vR$0A#Bo^K^%9z^q$ll)?Q+=mfPEueqc#Iz}7|h525!^ zf9L`5V29G1_!CC$6S+^O0V8O2I(NxPWFkuXZ9S?)*hh`fxvH0UTSOVU%l{B_&qPS<(?j#r9=*GpLA*ZBrlovFKVLHp$df3)KH^t#p-% zWe`S_L3aX8S_ZVJBYKI4_MyZfG*im`rSuz1vTOf<4rtJmXnQ>MjdEbtL$zZAim024 zwwqM)SX7-wKfuOAW6&re^gK%Dr4xu7N|ESpVblb@I-EWQM$l1UB$Xl)QS?4~Og)++ zwfH598ckoqK8CXFC{An(hKiOz;KyMF#kIf4$oYMJH1>aiD5G^Bv(q?F90fPE{XX=SUwyR2qsratP@;& zCFG*%e(Zo-|kGY}I$yT(EQ zxz@A=&;qogDc#MYl~Rq|G@4dP2?CIq zRE$={-apLkN@_?`JThvKC9?u|NsF8Y<-T$*Enemzg=9bI|9@rr*V-CKJn3pWCNuwg zK$A`ZQ4G`;1|bR-LdP+4cqszIJCr(OM1;{?bkcB}zC-0iP!U{2(pSJJ8VRgNdw|$H z2^X4pnT3NgEKTxy*mV*RpTPx&&>l39mo6!0*BxaVZi~T&C8*4sf4!=(dED15D}Ipq zD^`ZnTvWb^4#J5wNA=>J80a4%WMQ)MN-qhe87NH{9maSGr=hTkpldKUMAB(A8Fora z^IZoUgT_k(@yublTD}a6p2X*W*eX_^5$}3KS@GsFL^zbj5(I!8S<}A3KA%DF!>OVS z%-%I?_+wo;{I-;MC!%OK?k;$!3HR&EHc!f$|FBqYKs{mqBVT{3F=Dl*nNS<_uo%q+ zYI063zLzyWXHoIG9dc)$UxqqUbh~ue5tswCXbsVt)DBH%kz-Rk7Rzyf?j-a7nTomz zIHnVkaE+rVMAr1H4BGcFf0&ek3b!ZYC~$Tnhs*cS>P{1w)JB?y*Zdgk(jwe6HS#mFE@gtBZiCpqG0>1YFl9M!(V<+< zB6|x#+gj(Pa|GV2q3A;x)r1=~Wl2~qbb3ScLY5yuRx}lRIUFS(euV_>isnEK zNqCNA-3kBsM9*eX&6%Eans^L7TvMAS?C3Lufzl0~@TUlCdPtH_mt@*w;2C72&P*DD zSQZ_?9EUf_KvLtO?I;cp6l6a&9!_HY2@(l~@H|36TZjbjQPc53a)dHr)Pb?wf@9jETNIJ*RQ z6zV4M7yj7;`adUAGhUtE&We9sZq-Th&vAM3wq)|gM(;B{+cLMGQ(a4oSL@U&*`FNM zvE)d4F4!l1Ieb-mFl-CK+6ISClh_nHnlaz;?sYbuf}^`ZmtgT( zGqV5E-M{V4{?EGmx4qf_#j>6)b29(`(JKG-hT!X;PR~DE?tzt%qb9mg7`?$Ph;lA5}7W|V)$gMFq^T^Ik^N$D(&V*fD}{I9j~Uo|oMe@%&N zwaPggn^bP zy16DkM=<1k!K7RqIW6~&18cGV`78Cgv~?FF&LaH}tec6y>_fK9`R6=5{IB;3`@eax z`49L1vv)?4e~Rvt^MXI{?2RJxe{Dx+$>aaU5UuU`tYKdNoK^9EAg_JW`2sF4n6liq zr(JlB*#9W0TW9~X{h2;%&Hrc5gejM$ za7R;Sa_&AMa!tfb(=o%J>5dzbuMz#r_PqZ2s|a;ZJkBiNU&sAdGH3tal%{Ux{&Jo_ z*C7A@=YQ@*|L+#ywfg^mcIN*Vy>b6%)Bo;S-ycVuv!4H+Zp9hmhl(_Pg+-EcsZ`^= zg@1%64dU=sMMLOu6-r;^D%{iL_hX$048!}6zQ8_-Ou;O{9Kk%n0>M#?HkIK|JWUYM z6hS|*A-=H2E*8j(wU#S(y%Cs11)4YOj{6%Tc}DPc!Jh;}4UUx# zY>T~e9JcfDrxO(bIWZPZFX5oi7#wayOP!o6;!Ho)LSZ4 z#f<#B`r6o?egs(2^i$x@p3>c&{)vi|g zdI^~+gLEBqC%Z=+t{!Cej zg{=v|g*r!dH0}cqPJ0m8+jv-KnQ7`#geT`z!=`lTY8uk?9^r(wy0*tul|1hG1F+r8*bTuZJ zZBk2sqYE!GrkkDdwwnp&JnROYU>Rsj854~HDYxHz zq-dIvscs+f5U^LlO5;{kb-tdWTBhT@T5eho6sv8$ub8Wm73>UF1BzaQ)-FLyWUAc4cR9FJ&rHVn zKB|(!-tfF`HmlFWDY~R_$VRGcdRs`QdUezXc+XG4(0d{2)M9DKQS)z&R{$rbFAe!x zl}qxK12DO%bc=D+2+mM)@wO12Nq2_)gmh2YAxdWEuTk#PA<=qQo8N&Cr2Y=|gH0{3 zvUatJ06vf!;XMzQFb%E7& zot9C*G_p*N0{c+B z36T->SjLUO?~AK(lm9TSh{Q)9Z2Ay?KB6X3QFNS!15eUy;3;|*_#J%#{E@oV)AVtO zU9TN(v?nxZhxf!M0vl0pU@8p+wx&X0N5LL~{X{;PMnPUElF@==X$mA)()|tk(P%vX z*0&$tbyp8KgBtXm4N)kNC9@$J*kFZ7R)}N;BLf>PM zKMZ8~F_9mmSLiuN-lPxv8j7`sVy&S#mZ6}v`=*K_RTQbBNM%Leej@KD@_r)kC-Si( zA1m^)A|EUA*^u|>yTV0IW`$_0MRLqV$(+ay&GvSx{7KcUNY$LLej*v`BFo2$e6~nd zxF`vTyjmp3T$BVvZWx?Es*B>^5dR_>>!58&0-~5Lq7^Pm0wS*#$uSot0g)RfCtzSv zfhsknN=u`5OgL-rML{uix#)@RDL>nv7 z{G#=XcD87ji)6V-R)}PU*sl=#oub_-+G^2Oi?&*{)soSp<~$quIx0rTV1(`?M#seH znB-JhTpDF@Mh%NgoGg-Lk)((^ksK4rF|j`;_R1p#@JInX(qtZKG7qwA z_cc6EQGCB-F-jJrR2ZSn#3+@G5PpR&@0TMsIbzdK9F>WrOeAAPGFD=Zl~@xz@1f=@ z#m4U2_r=6AVliG4&m}8i6T`L{aj>qKhc(ocC5%NB|KZgv&F@1u~{ba z6(Zju;c5w2i%qrI91;03k&{=l;A>o}a zvgC+_kGjYb3g@gS7g>@d;ba#fvHNBV$#Id5N+nz=xJ+<|;1NNJV5gx`$LPWSCxF}f zht^}v!CO*SHOPr(4`mWAlkkM-Z*efYRq#agFR(cg{kfo_4)nKAM2D+)`iI7_A~c2- zp)srojR{xr=ckK2UF7K^PltT$`FSGG6M3G<^B{lZ{0SnTAo2+!p8)xX=kJW=%;=-sT5o$xI^%WAT^T+g4xZs(c=xWn^n_`4R%O)2g2nIvzv>& zc{PPM-XY-~2(N3B-J+U?CGG&8O3H3ojV&2FfZdyAr&ZGj&36Fp%9cC2OKAkDha@JL zjeSok={tZsTUF+;e3{@5!6SmySL_9|1xp1h`&QGXZKz*0dD~S2H@2t#)pSv2b{^Z8 z3RdP-({FZ%>>(l&tQ1@(xI^%WAPtpd1hWN81uF%Y3GNU)B1jjAyRKI&OVsMS2oE!#o#y$~;$juJ+vIS?@Vyd;a11(sSBlgv5lTgtQIm8ghQf=#a}o zDnizU>C~S;p4)u44)EyefXU4d&5_TuL)ltzA5~f@K?g$ z5C1s)^KkpO@Olx+5gj9XMD&Zui?|@7DB{A1t0JaF+z>H8;=zaw5idr(74b>Lj}c*! zF_8@;lOkJ04vZ|0oD_LYAc@GTEK9E5Lq;2BMP%Oe}O zAPUcu;aeX0z@MT<0xRm30>gddabXwV@|X;~+;=^&XZ&0a$KM6q9kmSj_qbKSQE?l9 z-F;hu%j@k0?)Du9-jeVUFtgrCU}(a3!29EV1@2BT72z8W5x}7daf-h`VQuIS93h_j95lT`_u~dRr<&U8HG!hp}M^PiXkebkFN~AF; z^F@?QmryEQLCxt(l>aJfiBHX?(-dk=Q}LGftMUH!X{eKHkj!<|k)|W58}M%QnRo}f zjklZ6MyhkDC*5r0b>dZ&O}F4MG?)70a_RuOjRw*@%B4H-v7ALT2-^wqpmpwDxMh}- zy9oG=XEE@NwhsX3dswo#8*AU|%vfE>_*=V&fzL>+^?g{fx+&wdFvjpi#tQSU`l$ch zwoJx_idqslU!pzPo+bMRa{@1j&HKqLY1M`?MODn?;TPbJ=tvf0QaEFkWa|aN zxkW5_uRG(kJjRSpK)hJEHRtq^4vzv?hj4gFI;(4!*eRb=vbN?rXm3f|2sAR-vb=y} z{gA}rq$Z3sXftrdaL)Q6L1PGqizVElJBP24OxrPSUbXF(&@hKz?my3{<0Q+Ct(L` z%l`=f()VZB3{Rm3M9Y*1*sVCM0s8+-#O|(>j&p^$UL}&-1mBc8XjSAxgj`8Jr01gg zUW&q$;-h*%o?5W$lYGjABpS#v3z8V+fg~1)t+beOycDNkNAW<7=_r&REKgAQ$|BVV za-?t=HBb?doCoCZ(?&wlP(?w~2&mzv9wd#G50WN84Hk`GQxyYAA`p8$F@1R{NyR~u z4Ahw7;vqSx5+Hd8sF6~ANbEzZ0YvWtHLlB^2T_D>2uUOmPkdwELs@lWNa_JKE(tY( z#HX7=5)IVIP9h{RIth|kAlFMWB!hGcLW6-C8BB%bQr!%au|SRausQ0jvyDGq8mC)8 zQ4YjD227<2pMz)#`DHo{^2>o5-+4%fyc^I<<8>>@CjjwTAxybmxskd#%2|Tb>J!4-&1yGa% zvGEND2VCC5p+VCpGy?c34htHW!$t$W>LOT%0#VoM5`@Ens8Usia3m0q$*Zvl4+UZ` zt13r$7!Z5*)a3{l05uh=2?!Sfv0=bgSAvuPHH}dG!JCmlO{3H#gf9eYd_#5$!ef9M z@7cc^;fsNqO4T(8mjN}_G}j?K7N}{QnvQTeP~#hmGY}pR)VQ^9Bf?hzHC>7QCb(&+ zY~J=%q5L2dftn_%*$7Vt;*nQ%Gs07Wnx^5)gV-1Y)O4-772)fEnyy##5S|Xybc4Db z;Tb^eUQu@$3ea)j>$YP|e^1;Pt}n(kIB5nc$?bRWJ*sA(BK zFR1BJTzA914)r)cb@n8_9H?n4?yg}cjd}{WOFa#IS#1Hnrk(-5p|-)%n?Ox(spk-W z8;BmGUO@O`AbO12iSVaD^cYo*@Cl%%&(v;&KL=_$iLVVR`U0rwOME~Ot?(88XgZ}{ zf#PeRrf<}%2!9L2XN=U}5dI#Bz2~@ZsOU6M(~s&+gnt6!84vw7(4*f0diA@IhXT<_ z^?L}112w+r_&&ldftu3vKM+m_;z_Jl`Y1?iAl?_Cj{&>skAc1Qr@;RD1aN@<95w@i znsW6Q2L$Ry>qOvt zxZ9}duucWOubTru&@F*Sbvj~w2*h4H-5TMKfan3bEyAAy(F1gQgiio9zB-hQdHX=%M$>tmNDHwf{xq@lCXD@Za3Xeb{qwrffsTpJlzV z&#JE7g2+#?v&Z?zM<(arfi}E2$3Hxy7W@~6XAaJcoQPdAXUd+$a|d;0b0hbJvMhqZ z{dZsF{atIqT)YH4fm%TMG#tM|%C|AQ%`p6WU6@}#i{D=S4&wI_e&66n;eH*3Ut|1Q z;kO&VcknxnUucA1H^Q$iewX1_h2LWQ*5J1tzXSLk!S5UVOzcd=ze_GDoK`k%!q}Xt zQ_H63O`I?-FziJYwk7ukRcvlqR;?0@yvxg{T~ct(glT0{`;||fbansou@frFuIgVt zwS4UOGP?RNwGz*bHg(I!msF`zW4DCwRgLSNcTS&y1&37PmQL@eh-NYU%BD^$%bzrL zTKTZaeE;06ERyZiq+S>+&py{O{Q|3hm_%~x|8s?Kd=JN zZj8n6D*Pr9wGOBcbc-#&py%%K?c20-pG5&WQ>DPf>j~c@geqt8w|4shPQqCVMkp7r4RmBIE zK4uiDcLQHPW(-zs1HD!m!@ZrO*!QfgKwy<|gUSoUtTvi?#b@-ap<8;dHnysykPs`% z>y6SD>8Pm2U|tj;%1lyT17LUqdaaSFMg>}|H9D#0fzfLXyeTK}<67g{u!^WCCxIz} z?dyyS`&`4h_D0XT5f9u%`$LgGe1nEJGseuiIU>mbvk=06$^2F>uEd#&~s4;Pey5#Yy+X%(@4+OD)BJ`R7Gq zO{^xCmypb?dji+2H(Htori8%K^+tmb_~8G6ZR?F6)T>*b++aMUI=vk|>s`so`%Z1o zdfy5`9&ZPWLfzjkED4p+ILb@#dKCWyH$Q14Zdv`LaT=5AmWMVO<5YM=Qm8^r@V_l; zvoTkNc#@2$NUsjuxy2ahvEVM!yXD{(qoCt0X`dTg(mprWoo=&cO+^`xDV|IkV`v}t zdg$UJ1+8W`!wg_J!;OK0|qbId<-{`W0Ek@)%@$u;iLu03A#<#mJT0T dht?{F)n}&0c?Zmf!JWyj0gdYSWFFI zikZNIG0mnY^w2^xgcM2$4hb!`z;qHyD1p$-_dDm_J7pyq$d~tf-akG+u$npd+;h)8 z?Vej^=9G6br@WZC@aIiuj^6WNP5ygTYif*n#%S6b0Zj`E;3DtpoA*hEy+Lgc0yGA- zpZHb}OU0)JwK(pd1>TU-{C@`8&4r#3(W_rW%|^iAFwgPiJa3uzct&{sVfK2OMob0? z`nN0o_i8{p#G_?z@M<20YFakp*KYjWL$uoNn&(~a^)#A~`qP86!!<3c^@hFKO1juI z(u2QLEuAqx@Yi{o%}AiZ(_*#-mJewKMvq_9{912IRP!1skG4Em7y)QDYu+8$5y)Qz zhBdbV5c7t*o#=6({|V?}g+3*?y#95Fp)it~1;H3F4)kivLki=m;JDyxz{uuIUub90 zo)wxIY^TOL%u7PqB3&9OzqZ_$9YxU5_^I^xj0`~8EZ=C|kajc?F@^zF7>nyx?+WTb zrZ5gS+3oO?@~2aQ+U=ekv(U09a7aazhBZw;qt# zdSIcmSWrp@ta7Fn(nB3hmB_lZclFomi|e1)m}w|g4?r2M*HG*p<5+rkVg>fVt` zAQ2`~*ok2~6D$ZR1q-_nfCOEbNmrtNO*d>gnu6dYy;->B%c8$98`mtq!W^mrP0Yn# zJyh6D-tI2{!mXmIaHKE~ezEnhyv{z^m0WJK9 zFtkWvZ~Tq*wx!74mqW&Sv@inRMHYWZ{A}pwy?7Jcqaq=sLfw~g(fz){KEMQXLNe(8 z0Fr^J^^r_S528ClG9)91WV-hS*;H5$y984t!|o%PfDlYr3MNnxf(aB@FtB5m3}hd1 ziUwepY@&L!T_+6*xRj1h7;pCiVkb6+%43Cv)Mc$Vp~u?8xLriIo3!2$DGC8B!MO79 z!;^1$rklG}wC_l!a%?>m0lVzpkH|q-zQX==6(qVre|9l$3J2f^;i@ea0=1Ju(1#T- z9;_HzcOZ&2YA&Js(Y#+aAA}u$T5%fmbbRH=`h$Sv&muYnW4$AYtH(jd3QUhwb`%$S zHLXh1bd9wV?LHVaV%>+}H||eFCS6G}HDtuYa54&Z9O(*&;;J=d9GK}3TGi4Y^os5K zgWg!2-5>bSh5bPQv70Mn>CE=>@)-;AO4+jKehN&$_Q2|BS<>p;gt)64d zm#gZg90LGaGw?^Nj)e=|d=VD|pzyzJGhit)_MnzY#d1wBj(Hbjkb}3kr-pbmb7pFf z;<1DjtO{m-ii@5gyv{2f@i+p+9RLbhJuwI1XH+*-6*BGv+3fLDoOBeQ(6=~&V&g$z zcb|yDn0Lj#?B~>!G4&D*Yb$US52rC=AtJPU({U9q2_;-Wc#9^ykwOptvVeLpz`Hm$ z_G2>UQPtbmpG;Uq`Z)zZJt0Pwy_;=rsIHE2!zYLuuT&3i<@=Iiq;^3{g?}!%3I%Y( zm1g6hOpzcwzNP|BiNU=wl*%!bhMFFon&pAIKoT^rbCTEnHCsKYxE^n>b>j5L0#{Zn zXk8FJ!pb1jPUwmDDo5=yuBe`yEAyj488t2^(=&^w0wWRWJ`I1!OuJ8~3o=oR{)IE> z1~I*H%t}o|YZZD$dlc|90dLI>qXN`NL8V^F1!r+VxH_e8p6Wr|Q6$o-P#RhdHhKl2 zD!r;bMubR1sZg$iiUg^Yo8p33b$-aw-Rd*iR@wBA%(At)a9$rf$UOM}8 zB1PPtO&2jemIhGlA++Pkp(Txv2=mE1b04V+aaLp`ei$)1OwP~m+1o)U&7R3*bb7vM%u z=*hx`xX|?4M7ppVSJ5EoRJCeEE=EmXWd1WV=O-o=X+dA%7le&4zqA#})y24phYOeB zPa<3>QBkD(Qv4wea*8Mh;mZJO1%z@n2L!_q`wxeFGNkTS^U9k2f+W=J8uQzli95HT zW-Qe1({j@^&6nxE9QV$n#KZ7AGpjdG>((R zSrH`1EV`c~e@TUUcTI)0?pM89uti9IGcL83?l%e2_$d$zZ!pAo2z=;j&<4fAYXmR6 zVon}Bx_BEkK@s|Px}b2o+ocG%ci>J)(Lc|a4+!EqRpqV$WcSTKFH^V^MOyb=_>FN_ zjSHxTaT!rU&!U{2#GOS~$)chtOBmMykn)GZ>98^Ywr$wfv6sQN=qLMYMJg2t>4CH! zP^dl;UBX%;j6-AJO+|7^Ed;NHBMN)c!*mxxox4G&B^9M{(_Av7q9_utP$W%-jO?Em zD%?Y@v4;Hf3isj$X;~<}v~V9THBtOm(NrR&C(?RCQf>_ut{@aWuAtJM6NtlMIJ#(V zB&=!(%^#mLKOfSPfLBL_I|mErn{D;md46dwuCGg~q_8%Q(fxk&jQaU=ego9TKO%mN zs_+%~=0a$DD`vSFc+^-}HQ5jFyKlkY1Tu5-e5D3quZ%50qrO#s*##=5eE(UXdpiyrQYlwR;$e@ zK;H&y-i9A%;qc(exOfdrg4@bB`89K=VYzu^fjuc25xpzuk4(BBBrqDrKuN!u!b1RH z>O?ofyj}vW!ov>e;L8Dc#C&AfppFd=@VNjRS5cW0`Uyd6*Amq9Gz|)KnJ;^_IkYJw zZv42}p(!)hS?dE-2)O8c35f7z#!I3W+NOa3F`zvq84g~-0cV4GbyIpDC&7s*5JD4F zlL4zfLWfmDDWnOHQD>2FTqi+!CmHEQ3Dk?5VT|n*(v`sZyp|7`omhMX{l=cMs7XS zZ|kzm)w(&XIThh9CnKb+<~kt&r-W$8Z?BPEcohv8tMDVc_QP1EoJ_Gwl)TAkIjgm7 zp0d!*>qi!^aqyaGsT;zaOU_!agn|>&29iL~Z%ozfLcpW|dX0l{*OP(lN1Dr9YBM>Q z8T`(hTkKsyP%g)!$ki>QQja*yf5=r>LV}TRX=(T5%w%g#ifU4N$h8)r7`4WZs5SR& zO=H5pq_xR&kGZOKY=e`^(rcKCO}FrH$l8F|hnnNCI*sATBSJ%@}8`Gv637tj=Qk zL!0TdPzQ2o$WAJLPZrRNeps;l*TG@udW)X{;=}&HKtjS@9Vh#B9KrhS#+fJ)mY`u6 z2xym>ceGa*tzND0S*jq+EbDubRL-RqWLF8f*@8@zkWCh(SwbqWRdkfyue3P^>N#T)S>8d+XO*qf(Tn>$afk_-)m)g?c6&TJ?2x= z;#ZW$AM$RcfcmZ*Cb?H;f5Lgf9p|24XZSn^~Ew8!ehqv01;K!VzZ1 zW$oB?p32GKXvOmmu7gFk@;VU}&b6&x4xcAMzO@u$>@fv~!4P{~fdU!g8e5zp^Ts(G zGb80Olbu+E_edXRv>aKKL3(vs{4wT7BdYD-vk!8qKK89FO4zr#a!m8AiZVR13%GH! zG%};}2HQTFtpyf9p&Z8$^Mf&&y&YqqRM%P*xefJh$>7?0zIy%C1JuOj#t0KG~7 z5J}D4e{4-iU7s{|bgi&ZgLej{aCDuzqY!R0_}*b z6e!}a`O)fH^N{g1hqz*%Gls&v>-y1#(2QdK1EmNBXuR19d_tZy+>dYDo~`P?U~}?> zu{`qk8|E>5d^d|b|56#8RPd1i$k?n{gf}BroPYx9DKt3#4gmxU7y8cq&suKg5vvi= z4Qz}aP*SQ1bL_;yvsem0WcaiOODpXnCXsGjJh8d>349Oj@_1;EUrO_g=+drpM1!ww zQ*_^BklmTxX54r7oQ2EzmD_ei%rtwpA6h&fM1Hs%(;S30BbDb~_^SauR}?utmmOF0 z^N3{*$yXPT`)^sG)n&!P24cbAZ}1RBeOT}spQ27rhE~V1O283%n(5ioF-W!8F_v&e zTBh7Nd<)ydH~Howt=Y&q@^iLja1|MrRXSxyROu5|K$Y4wD3)1H^8Hj(#5nI9!(n1d zESxd)FBVbMS1b;L@fy@g;hE%^Bj9 zoh+#3Lf-5HW^wXR&m-oQlWSbFv!idP`8m{7~n*E z8yLpt4m1|R9` zrc1Wk+)>h2;rXOj?1U#6Aw z38q2Da=u@I3yfyejX%<*yBmdHmvv)30Pb%54v_z<8`QGw1_xcQHlL;j_GEY>M*!Qb zh9eDNyOMIMA!8A9zDy6HX}JhcuuO`bPl@w-c?T-)hNXA2v@c!<= zW5Z*B)9@aqHN-xKckMlvl&nQX$C|@qD3*@jcg-QBvfI$D)Gr%5S0+lwIIq=7FiHA&@E*MO+1Px)1`>h zZ`t<7WI5q+k!6UBEJIvm34&|_Lb4|LA_}ngaSsRuv7JUxEGYSnL+`WHFI2YL0$?#1 z$Z91Q4Y9*LfO6Qb`O5S`Bd|fsu)hITX1xY=LyFcMJfqHDb6R1`R7lX=W5(E@umxHz zI@Emg{e7(f9Z>8%h~jc9;L%7SJP!mp0j0GkbJb3Da>DlH z@W8@od0?Bun1teO3S%J<{%c{he_vtnVszKebv0bUYmgJT<*;n$My$o2zq5O_={Z;L z%ndusjR;cID?4YT+DM7t?p)(gV&g7#k~b((nyhp4VCsX8MI_SfIrHll3*LnNE+GWB zCVxgCrAdLcl0Z?VT=HXAr^r%}`O*mZoO#S?)%INXK3mb3gNBGAF6ZV6mCLyq;&Ses zIelhxaknyB1U()=&p_oAzEoz!K%&w3w7z0O-%&wcq{g7(- z5H-EYc&%fJFqv@bJ*g)xoq0A8a>ALhCus{PH%E240(ZMxca^w1W=>tTXwV>CuqV>I z(_A~J)()}v10r)zsmDLh5eqT!nWRi_+|&90fEk$&3AgWj)QY*XbF%?)PdN?;M8;K# za}pqGW!r14#hqX=HO6Na=ca8IafU>(NLa`suWm`3znfdLzevgi6Zbw=&cq9Vs92xg z>P3IlCg0mAsqi_x#cOzeTNbR$NxL=L+3p`~9tcx7fC?I8Er<#ll22NCyM4EsgDF&@ zc{M4Y{CJrF4=)Ft4}d%Uy%rE9QG*(EMOL$I_eMLR-DES%tdSRDy7a>~O6=IE;xK1w z92-@~Ia6Z@I$q=yilsv!k!5{nxHN9J`flYmj^yPXhae39@05)oM)@>aEpe<4n8nkA zwhW^7DA0;(JYR(j`dBnG%@}1$%A=Oc$`7*u{V}=OaC5D1RcLq;14|0>$N3=HKmj$;56-33aM-|+t)ILgxu>Y3&F6xeT}6(?Iv7qOUV zQX{6+|IOTIB3g7wY99cMV+pzeoq+H1ocm4!^qu=u{lUiLxeo*S%zd76ps}=`1HkPf z?*gJ+L`d`-K$Iv1q~VVw!QCWdNq^5^bY04S2b5I=98n<|bi`x$uNp!31ES*ygn95@ z)#kT1hl@pqyACHv(${cF*frNS9tF^$8=v+&_-#|)J#63jh6$UF^D-_*z%&qfo9oG&DiB*~Cx$1}e%i%?=RO^YL~ z*)l3s+?RlH6ara85Lg#|Cf&G0HWvqs?m;WOjXmO8iy+?31{t^6{UAsYsPik7S<$2oF&` zO(@jopdP_NX}c_eYJU>d{&dm8LA6XmP{L__%5XcGnP<#V3!6PpnR_i9QU7NLO*-x! z6o;?TUNrk>v$Sx;ffnn}0yVpl8js-+D2^h~sck$B5#b=dFXJ3OgJgsTJhqe~I4=1NsYpDFY3$pE;Ar+I+5h9?!5 z3=~Mk(+J(=KDf|mCo+Nsbk~YPR8>Twtj&}>Xw@eQT?Awteq4QEs;ENd!vK}dLmg&} zkfRV^Bt+NJplg2VoZD9Y8K~~*rHF!asesoP>8Pj6dk^O#cO~Ow03C7}O`8FBMqX{p zg%I5t`K1;_#p_!c!twfXx@7g`AArwD{c;tR%d*C~ik-@qEf{jtDLz}K_8S0jtDO## zyVSlXA5~G|TZra&s8+u8DoS4Gk}}BO21bE!6}9v$SZBdHkFHE0L4B7GEy*qFSCUo>Vs`Blv%@(0Jvo-&EYf@ zRCviu@O;7saHjI2^;DyuP8+tQez2gP0!<|-_JsW)nkJdun_rKJ*sGt@`V*R(b=yI| zSwsEp09^`+ ztg;2d2qX~n)YThlD}!Gyv#RL;d`D#OC$M*1->iJiwjhHVSGGYt+lMCQ_R!X4+rwhC z>K@ue&zx>0;|)zk3WP5D`kLKWCL;TqbcXBPHkW635bQfFT9OkB;%ZT={qNfHqHB`# zBS2h$;{o_@MA(l6sY^}?_Mo?wntA5p3OjTAvGf-qLs~SPa}hWY^2x!!crcl?sf^2I z0Q46=gzeJ`Dyi%a_n3Q0nY6{2dmc#1=8llfE!|w!+^qog*PQWt6o_c$4pz@lg?@sS zo4-9^L#BUEeIFWH`Qe-KwpEc*c|OoFNy>Omai;JxDif}k1hRMGt$ zRBFKZ#Db^+BlbGsn5!=xY~DICR(yq&=RVM|9WY$7?*_m)m!KP90?^zbn)iQ5fX4)Y z-HFdL6yC7WcukK1PBcExpw{%dtbzFGH_Ic$Ie@qo$qyh|_HQ1%G&R(*hvGG;|0*;L zhNr%3u3lO_nFIo@1@h1MtYcR)B+}z&bSjJ0cq7`AYP=Sh=wtS`=9Z z79eZxeN@Y|=WM{|cKqmTV#1)%aVwh;MrZ!!sKLdbzh_ZhYZKurqykV4?=P;nROG$y`?T5+i*QaChLn6bus5u zz-y3DmGR35G*-Pi zwF>joqnnCzKePZ_C}@bak%6=iK_Zt#M5kaW7O91oZL!I$DI>$$;}uCzXYt?pFQq*# zFF}8?KoZdR)FYp9w4a%HrjTjtqbQl$8f0dU*uQ~}I4!Y6bRCQ6Uubfm*kAXNC6(iW zEZ;svJ;C@_K2UsUBhLXcwzVJr$F2Lyy{uB zKCIS?rUTyJNNemx1?30K>~KxN`YChEG1XJ8V0}9xs(Ns_e`y{Fn$ki~1F{{j$9=8} zHZMSdiq|#&w&3}8z>`W@<^@Jg)1CiOmGWOx_;dwxFwhV+=N(@cKkEw%ZG-ut(NeSg zOABxT)eFh6YqodS)U0nD}!#FMA!W;PxMfnF!j=)IA5C~XB2W&N9*urz3zL3tep0MrR4f5tc5Xc>= z-{ktP2i0VKkLCeocfb~5c`!|=)MN9zYO%d!REF8FrHC`ria0BwoqmHddVqi`v(L|9 z?P?@<1nQm4>~T$T9c)OyNF%>Yn@1fNcSi4bP}yk!)V4Kt3!4#*@gDXz;`dc$gxE@W zy9o4I{#Sz));bg*LH|%71sLb?luZqH0%X9|Mwl;32YP5yg>~wN2Ue>^TT;IHk%%TO3lm2qLtIldu&zt5_Cpn2T!EhEqITYypQybWN14mD8@=spSm zyW{&GIEDqJB9zn*2EaIvpc}wCpq$gcM1aQxfECCC$KF93jRy_}IMJMkz$ptd=p3N|lC0Sz;-Et(;ZIeXB|%~olC29;uy_HI$kvp90A zw?RyK@r6-EES~~;(z2L6F0QF>i&=%Q!vGM`guNx`%IsLtQ2&OFaRXrlEeu?lOI9@K zcgHOnM-oQJY&)v4_^X5k?PSy9l^+tT$O+Y~alfR5AO`U}!pg(KS%e_c#gEV}8DE$X zhXp=4r;KlQg|tRHES#)B3a9_!z#ZQEjsdrWOxYOl8v;pNf?Qm03Mh&hh&p8RM?!UP zPl=e`&%q8AX-G2C1jSoXPSIlL+Ts1CfToQeF!I!%k7B>^0os*0xZn7gZzu;J@)=zU zq0R@QcSW5Qdz#JDdzzQsQE4IQKyW-$gv@)UX56lO@D3ila_2={`1n`6zUOiHI7JYO z*5z61Cg93eAM}&GE0$o2ZP!&ov7Fo#H~l#B6c zgMLQ>t-6Bp6p(07;_lDa$vc>u`Dpi`N#EE+KBGKO`34gqyPBaHzo|w?k;L$O;^+-$ z(D+}>uTLI4;=Dl?3+uSHBl`2p$;Ps`m{W>FrY=ZZxCb(>Oy;;HUDw-p)r=!DXbGFs zEKFp3Bv~m_^RnXL&eu^cyBuH|a?;K;XpmR&YKC=MR+SdCTvc8WG?8qd|~ z?P22qf=iD%rJ;CCt%bXkaII%o)c8=N*H|-WqwljUGWv$=q&F(pn+SlhJ3%*yp@7GR zs|oO!0C3bU^5BphY~%6ZzyK#6FZjq=1;z%4k)~?(TFN|_Txdvn9zaV%(%}Pczm2Bq z^tz%|wFOm`hxZw12J3^ZQ*<+dsKNs*#1#vosUi9h3-d_AR5Z(?Ml@Bg*SDu|`i2?5 zm{6@Le>u^i`cRAL6NG6UJTAv<&>JkwzZ0g+JE89~MjQ1;V5-N62-P}lGaPon|HS*| zhUvqs(R5Tf2Gy9+AvgX0RYW|f6`ZrCp@$~8)HjtCR%*wRp zJZm-hL3^&^HbnE7)8%4O`C!GbRkSR`{oF=*Th4P-dsAEPY0Y;$)6pbl;d-cpja`j; zt!CR9%`+^4e+83sDytb1=x3pPCkR`{#wWPOc=LiY>WZ6fFy6D~dYcasg4WB;=F~<- zD0j3>HCl-Xq4TVzzkR*o!^%{>|9YNrwvf7HkLhJRt{g*kc&54Anau~v4%@F)vRXxN z`)hNF)uzKO9CjpGU=ED4%xBMR`TwmL&MDFX&L~uF_J6{P*PEC9ym^#m#dwRNb991A zJ7pLdGA=ISNki7Wuv9aABh)Glc@2%cjtL>Gbvv36nyqIy6d!A{@D>oBwAHhyI@zlA z#*6g|f}K@P%K9^=n}#a`cKRBz&szs7HrX~sGt;slM1eseI^KlAsS!`OU?Srx z*mO>fSZYU>jjl0ziO#t;HQ^l7EAZXQ= zMO(Jl-M=?EYrad*2&ttP2l?Ls?3&Y(O$Nr%8l4%saHx0FNOQ!64b}1$0W{6xbu4}f z#i9%QUwSL%%9MNo0LFTPZeV*7OK&d_;4uMUfP<6G!BMtJ>vbso?j9ajPX0Fl z81E3&X^9iZ0pK(-w#0h~D$&>y8Q?@?OO!9F2y&oYZ|?Go;rtR8w#=-&^_{tbj_;qR@n(CvkpVhn!2aM3|>68=J^R0N`_FZ z@3vs&YIb3wRrt0&Jg%n}DZp7ON^UP9WaX4Dl`nN>%{wk0ROE_eX#C{?HM0I2mDR|~ z*0x=~3{U{TC%)byrO9|S?NokPo{P{}rTq15RHvwp_xblT#dJN;0!(}ObJ8?Vxn#g8 zCT#?&0W?Pw#{m~MC;%u-PNv*bOwQNcJ7<(MRYZ)t!C1D4Go1b8Pi_#WPx1*M_rOF- zQYjOy`_qdc$Mv_&%7#~oQeS3V)Ymw5Mg`tmi6q;+xRk1XfH)BY%PSQ5)zW_a#7U}P z^RM}c*8ENd$e&3^wBlddfW6Hrm$r<$xXZ$5{%-T4^H;^}WUGqfBsAL}8x|Q~e_7Rs zsOK`W(L3}TCXB^^V*_<1{_y8El>f5DT~-8mz>PHHUMfuvbmpIrjUZ?GjzGs zu{b_gi|wlx$IV+W%h)l00SV1oDuUX|m!;p{!Tjj5(VipBVQV@(UUQE%gNj6+otM*q zazDLmswLjbpj#PZ7fdS?-Y)=<;a{R$2}pm(FMmyNpRivt-`#~g`(~lM2P%oZh)T*0 z-8TF$lsMAJJL!z`zE-YP0?R%lI$id#9qCo2xz z&)Ep0BzGsyD3iv604Qk~ug)-EyL>pG$>4RhOQ0jUjzI?6kCL<<6%Y9(q)_a7{n{L} zzSeV#dBECqHT4c->R1#6)T$uumU;FxuUwlhzKX_$KGnX2^W@Oxoh;honS3_mRXdmU zfM&G=4Ck(C@?TKV9dV1`Shnw+CVvb>nMg~iRqbNywC^m|IR_!*Qgc|h_Uk}HMKC^A zJk@L7c}2<=b~6Pnk&+D{>?t52!xx{>Q^M9ivJ0L>pOQg3XEfrJnHKux1aqeHCe(3WhN^R3UH#c6XftRwZd9A%~kcxDVm^ zA>Dr6oMut8E=3bk!@}eVE?GqE>tw86`SRO=6N9q#bB-OD<>EhCi+8bz+zH{5{r|8Js=_3EXm z<{ejvBX%6lzdOR5i0<|qVMgy^6*wZy1{?aF5vDNDqTq}$mQt(;8jpvUH5NLGB)%^0hXz_g@xfjO2 zQ4sOSQJ=8I4K(akrdWC(h{|FFtJ?!bP2UA%J|Jp+OuQmk!w{lP#CyZ}P4<+l&=im( zq3rO%sDn7<+(MNlCvb`NYy$P(@tOr^LU;x+?OB!eE&>V`U1~mc72#ML#TE`_B?{#c zLa}y;<=YW96VTcVw(8L!sOo)AC~}(Rc=3XBtjqieD2^8|pfhw<#QE~8?FmILY$p?{ zp=rEsq*~g8aQeQN!8va{m{1(=WuOn69B~W*<(nA12AKpKw^tm6R!?EYV8__G8{l(8 z|DpjyEV-~vxn}rmQ{n|4XP_+^;BMk7Y)_N-F0-ej08lxl>a1fy_W8B;ozj&K z51L!O(3C2q@U2F1WjC2yCu!@jy>H^pl)w_j@=XWIGN}Pc(q37t3==E3Do=P zlINd!dQG+L9#@gw>vv=6@CB-`s){8MXhuoI#*%9Oxm8U9ihV`${a$~~E-znF?NYtV zPN}11(xZi^>-?Iw9fzSo&TpzgL_FG_W3IoYDSjh(m6F-t+;~eFbV|JVNcXT zmnnOvJXP&aL>F1e9w4hTbR<)2-NT9hsExl7senq48DGq+XS*9XY(J}kYp6o`Gil`v z1@^b_k1-#-wPotfHeebN5O1boC%`wz;`Y7*1uR5|Ntd8|7Fx5}cw0@))WsIjcM;lE zt!8uHZ8b}_+J*O{uqv{35MKZ00ao^}B!-CA+kki6xy1Is0gB+}Gf)S{C6gW=q$uq{ zIwhgJo58y{8*l4>7iZOh%1WiVJr02J9zi#N1JL0^a^nvI;4uMUyW-sEMuJK-&V3l* zM04g>j$NG74o2i1@U0xzQR#pybbmmpd(?Ro5cg7)@ezUCSYH(hW(_&z6KeXNs~X`W zhXB(`Q_3;v1Fs5m7-3r3N;xJStyGwk4xuFz_ip=i)W(AqYNlR^<{fub z7k5J)R|s8AEVvev4SK-D&SGpcP051J(@8qN#uCR9mDcxltP>@haFR(S2^d+nIhSulKak-e_9!&t zFNa#<%k)sW>~7KUA7+(^M0y$k#!`Yx6K7BOH36I^&YsZzV;hYJY37 zxcx;LgF#`(G)5Rb;366nAF~ema6)G%1&8_K^1y7_r@Dp$^y`w0j7)}_`~N$z0o zX&eJdu3ifV3ooG!J)9{_pa$`f4_MdnonRVgL?QO>Z@(u!`DH4{P#w+ABdJwKtL5j< zM+(OcX;rmaJ6sxHGxch>qIKjlI(_*k8Z@`w(^On}By4ciB|ykxyCxdX8OG{z(1FJK za?o7k-g3|+<4@(FR^!cbP|8gnTdMJ#7B*||Ybrj9_FeJE8H>DW;jsC;&<9{~mT7<4 z?5KDNq*8%(D`UH za{plQwI@}7+aEFduGq!B+jjUvTyuZHNS@r5nX$uNonlmyv%dObg;tgUrBf=(sHoYO zpm^!IS39vn)AF1qk~)fPRFjqf7|ecvZ#T!ojf?JTygQ}3FI=RW9$FuKkOqM0g?4L9C( z%i*mP>cfq>u`ktjjmBARLLy+-0zcL{^6w`Jt08)JwyRE(pvJmh_oMJxF046r-VPIH zpw^4|2}J5=3$~2yI$JhQz^+@Vz4eUz%!o{9*Il@$cBp38V4`#;7ru8?+f1S`{^go! zU7rWhK4B5G>p`%VKbWy5U;f9LT^~vkB!sRuaF*YR3m=SC9X*5I;uCKC;;WPQBEDX) z_}P4-`cn5d^SZofjffJk>mFpG`8e16;;->NyB@$j6;jQvX9Lv#4--V{^Nvp!6NyWG zw=C|uN;XZvu9t}WCmHGKQ0btqiIP6?(RBjxbqg21@LA+!V&?u^{&)gW+UdtP9N+bK ziA=z*CPF@ikstZh7bkR0Bl#0IRJH3`s62ltmmc(0>1-l##jiG<)pdnrnSfn;6Ven$ zy6zS2+^$B+DH%=IB$D7TE`0orXZ|cLr*-M=*OTR(_qVz=WI4m1xbuRp6{22k!NQl5x+#T%R_i;xbUxk+GPWE{f=EP zxRv;BII{c3u45(N1nk;OU0=q?k=-(Pch$&3s@b)fD9z)-7iazR38J7smiR;0nEfRd zLAyqQvMwNEoec20L zpUX<0uKsFE*K%t2elGm-(to^8?H+L96|Z;w6dp(2Bw*JlqWlX++Wbbt8(rs03a7sI zlQ+9eBL6ckyz&pf|B_@-yyfgWKO|B|crSdb>k5fYz^+|EH$R)PJs%zYQP-=o9je;3 zikRu(!n@u+``Zb1;l|5HzxHLjIT3D%)bO^kYAiFfL;PV&Om;Ve=`DDXOw`qF>vm^GGXleH+63f1FaW-cfLx% zGZ<*S`@8cg0xlE;6A>b|yv|be6Nso}_$1>3RXh7%B2sng+ z);r8QN&fi|1Fe^OcOFN;k0aF2qDiAmGqrRHK{qp$o>mdSGYR-d2L9Uuo=U*G7-${j z?>w1+S2A$sFjw`n8E75e?&RvnGH`v-Lgo4gGSoVI+sVz(W}tO!R@9%sz>!(i5_8|k zKFSv0Fu^ zHi>~Zv91sWqn+aj+RV^bEDf^rRWQ(c4NT_@!u%4kF35)mg<20G;F}DzPX2WsK)`1i z$mi|2`NIkL00Tc44Pl<$c{D+J&gyvHWv<{hdUP8dFh=oDJIv~_}5dq(2 zARmR{=GPGLuMFhl9}MK`k1){MkS~h*H#5}Q8}8)#7c4(?n>L{DKL@6a*PdkA@dXjJNAM?>| zGWIzJHy5XGl>`1(4tSgZ;=#zi$$0*TGISU5bGA|FLOl4p5R0x?zzaV3jWbR%-{(62 zImUV?V*af%fV0rLrUk@2oz=G>+fcs~C;#)ZO8K9a0bJON1}GHvw?kQJzP$|KqE)f2 z!jF+Lxv;mC0bGTT(>X3D#Ce^k*CRLq&g=X++bR^V;}^ucn)n=xU698j_rPT6X-juiN6k~VQRu9c!}5V$jjnf6tD??= z+<51m^ExN@3f&HCKJr9O@;t-`UtxdzMuXYy%(nUwX8g%`qKyDqDhw9RC+NuWU=~jw z=vcLC0T?TQ*nSaD-p6u7aMFlgaflr@5IOG2k;P7)ikEHJV5K3Dzlp`(fCW#i8f4U~ z5uNPvH%B2>>>ZR5;1$O}{_y@aw+ReD+9{A8mtLAKY{q?S_YU}tYB)qj@B;SDkmB~X zrvi9H;tv>8^*~_+VA-rW|Ec=o-gJp&1lqPBe2Yx5fHkdX_bd2`c|+Mp1$UEaXaqAN z1;+A48NalA!4J6P*OIQiSx7Kwe1T>~tyk^leE#h3@Rn6~pPS8Zo@(+uYc@XJQu{tu zF(hk(j@S^%zGoirbkn@90p#t?p-G_|QZTWv_10qnJtDe|6*x56_$fLemNI)I-jF~0 zi23Z(LyDh+X>_sg2>@s=kcYUn?z=!S8nndJy@guneht5IEsM9k1o3K1v5S^{gDwIg z2>eZ4X(1n058tAzVBu{lf}qY{QoHcHvuJ@ZRGSK$NB*fJOg5;8V1!ryss7N|(NI`S zDhvf;nO^G!iFb%nb)}~|X01BP{ep?wsrP9k;Xu6X2xV(93D_}n#$3V3-$nISZ!r6) zIpmp|@DxVKwwRNjsjb-;jf#d?X|deyP^B;X4|CZwLt0m&FkH@%!0WA$3eP@f-u6tk z_*Mt-y7hScH`k z!g?D4#-Me>j)GCSb{-7*N%KJ%09;co(VJ7Bt=)z01>M}v-k>*2zFPPv0jJ@|T>)J4 zgKKy#cjIT4D|kWFyz<%fKB%B;B9LHj0KK7EvfoJgaq7f)U5TM^3<~&`#XxOQs2Lv9 zycxMo5MoO)-lraA&FIF~j_E|YJZx~Bgd4!jdWIkhc~{Uc%yIF?+PVvuD|zMiA}EDj z-VfN$yl`Vp+tVnvVj7Bs2zv3JVW#m9fDpif**}^aH#QV!^w&JjtOfG3Fgf)4vj>u_ zd?I9pk3q|?fwDkmc8 zHAWoN**I8^++bq}?$HvH zPBZ_Fg%3cAeGt<@Jw(qM^7eTzWmV=sbebDh{A0TF}D?dXRwr+JYWW(Afg|R||TK7wzZA3-EgunDW;A zPytPMD<)1OXjnj}SKr4?`tc?I5f3$#3w4fsiO7E~F)+}h2pfm8}jb!kg?T6;Cp3l|( z3#JmOUz6p(L)SzaBKSXwd-GqHHESZZYqEzi z@J}vaq;5@Q@S5z8&Anb2S;U!>r~pKUtf8hEFjW3U`wYk)&U6k^Z7t#3`RbPIaDyNv zD4+p?W{+S@T6|_E%P}E$;)PLv!l>WC&>3|p-+rKOWle#4B$xd~mdU;{hHO8(j4^Jv zF+|0q7ev*A`T;-NE! zQ~ZLR+qht%Y)imyXV}hm`=WzNs&{a4tGBV%&gQ(vDKKh1WL!(OJ=*lWJS>F_C~Eu$ z_Y`%*KLvcbx&6!2(=>bB5su&v;pX`-r|0@mghNyqml`x1FYI2jlP21ym zu}M#d@8+WuJCRM;1Ad1b@S*h}3@H0E=ditwK*!;2bM{Cc3uQkveVey0K203rAVfer z9}Mo?$I`$=N6eeWL=&%g^r@ZSK>ko*cVFN^(%0?9Z>$?1p$@kA3$yV@Yw;DZ`xDgS zO4JXcdLk4q;ISW^;0P3g^cP3^QiJH2Nn8s>3UKluY&DF_HuIUyHNqN$1Fn0vfhGv`9^ zq5I3trFRlq8%CX;fQlp-d}L5E5-K1W3|4RT@hl^m3=2TE)4cQ5rb)AiuXHpWOUDh$ zvHixEXo2HcCEj^@HMkOI$EuNuYscfzA!n?G6=q^fO>rfP#p`hwM1$f2pZ}v(hc@?Y z#_*%6p9f4wj08)$HlHyCWx)c`iur<};KITexI~^Gg!sP{mq66?0O>LXU1GG+5Rmi^ zjrdL{w!t}10q|PF065;bWk{ui;~3^|j-yB_n5!2IhM2*)FBA?fc zB!B~Q&zW0Z%X#LSiPxtbN&^_I8k#U>u!IrIJ>m*vI zgBGlwX_>daJ_-lVHou;kYkP&akzO_{=;kmqWX?nWg6Ue)zb+N#~+2F+=2j9<1J$ujAW1}FUrylLG>!n?i-7fQV5*&B_J9@~oxg)FQTMdBNJnaIjRcdjb8S zsa&9d#dAazJ>>JdSU83ewcfT=*v*46>I6@8xvo}o%v0VR)G643Q1Iq?3WWSJno2JK zCIBL)=Wz5+Vn_yYx7z&ko3o0$ll;1gwJ38IqY+8)1-4Xd!Li+CgrfD1z>8a)VlgOB zQVc;dax$OASVIiS=Fl452zm6<6KA0UGj5jNYV+)2KKfRw>IG;!>hcQnt+$%_drq*a zEVRGs1UdjJ?9&|f_K5I2VjjyL=DfFSiknbse2SmKSKuR-%LFs*oCX(+I#CsPv-_c? zs-QSNt_QPU1D&-P_lhHk`=eY76}|yHXsn`&NUEcSZ}HPAzygZp`KWOV$|RdlKNq9r_CAfHnlMVMrrZ4us6|2V5u9A^cj0njiem2xW@W-J35fw z^^KKS*AG?4^6+(pQOXC5CsDcZxcSYy^}B7veL^L&d*ej_#+h^sn!qXLXU40P03LLu zg!3$gqK+U&y)?x7r}^zaYdy{8%6~L?Hk#M`BV9!97ah8AD983x$gAUdt<9j!D>js( z^9A1GI;IeSR8rxFsEljI*I;p7OGXc_YpF5LIEij*_0YPOI^zPq85~*HGQ_xyuj_UH zx|X5FdcJ9h=;3u)WQlmjVXzmU-F+Di#&Gb}?TDDz{WDX9WCxVjVde5dU*h3OV*pn3 z0D}c~7No`k`@wRoA&qWBkhSmqUm?g?PVXzeSKg~V9P5>cD7D=oNITk%^Owv+fCMKHDpXRDjvqwaD*QnzPMV<)^*hHvdOLcS!1y=pq$EoDBPd*-pq*Ca6Ab6?6r+ky&E28%rZWOi5ls zojCj;(*r-?oG}v+pJ7j1@&5`H;pQ^%vthd!u}r_kk|L9{^JoigA0V9y{i*fYVL@?pJaig}PXCW}B$%@bUN2J#FOSWdJXBq~7Kdr`wj^R<2G+628ysbwVeoV z1gnh^FK9y(qdpp1T)-UzVae%ks3Lo`LU1|~{^015WVLUPFvQ@5J@%pg0~Xkznb#Uj zN_$B7UgNh!dm1kDNcCvP>I*!6Em3JM>_C0jLZxI1s94UCm^6`aU?xscL{BA5KaKCf zScpVL3o<0C{Rl;9Nk||2*S=8p-#{!1MrpAHuL)I*-m7Tl=ny&8er(F+r7WOq8Vrc40#Za-~B%$S^qY0>ju=`s{> z2wG)^fW+2dLvTzGEkp1Vi>P4Q_Md$kJcx$-&>+y&2f824NKZa9LwT^-Mpm>iCUPSq5t^EPUaM9tw0 zKed5Wy&E|lCvoDW0458%Ux)Q$4jnBVfFGo;BawA`jajF{1;j2F&rxO1qh6`8YG7); zcz(p6E*yx8nzl)+>P^7O!kAcb(z=PxAw2QvOg=n`_(95_?{fv50r!iHYkGXQgv<2uDB{i9aa!#JsB9I+QIL8rnHJqPd zs6^HSG`q#>yDS!zD2aAbgS&OCjTo<6Echb)(z|pwCIWnj0aI>uR)g0!Ns{NG7g8x- zpugO61h8xhVcN(BG^CX>Nu&@hF~4L?^NP<}X~U32F7@INxwNoYu0ohirmz|WVmU1| zlJ|izWz(QvSgD8^DZkHXI1S>f#vn%T-rAdP2H}R**C;-XqCoVyD-aEWtp+*bQM5^O z6PU(f^Nn;T)S>9HU=%%iKLeIVeRyo@OBt|y{FN1ip%4P2$i)TEsW=Ee!hUj=lfg%D zQ?xjwmn=*s4nIcac$n69=#9o$5eswlq%U6(ke<;@YI=pFt@DfY5V#KU8J{?*Pd(ky zeSH0*eF_o(6vPt|qC*c%W;Ju#e*zhbq$zypg203HK}5b9W;RE$nY02bzF=iV#hV`m$y`G0>{}BTK`D3^-r7q(Ee8&LPbKV^k{ETh*$8i{2QK zy~sTA%U#L@Y^x9g7AkZKn2Me9WE3Z$uYgB+4loygRab-zJT1?@Y>PG~rHz@qkai5S zAAyCOR)FFXlxPsxB=Uq%21!Y%1D2T-3aLz|^mM99(<_BSV0M;5GI|E$s)R zrIG5*^z2AK73f1Fj8B5iWr)(LEO&fI1i`(sz$Em_hM17FA8S6r?6;bE%-88!HU~%R z^qmmV_|;$6L}bmv8Rny3XJ(RKT@BDzJqBnXga(9-&<8zWBh{Oaz)(c&n+@M&n)=Xc z!q+(*w9xwn-wYkZrWDaD5gXY`0xXwvRSA4B0|RT(TiRn>^6)ox5vsF@@3wrC>eImy z`Uu&<#MYXHqJxkaW=9~@rnj{xz+^qQme6wJanleLciu?Y>eNVmBp#>q8fPJPaHysZ zV%DT(QdA$@pS)Fa4{7Rx0^E*D?$|oibEf(1)(n2%**dgn@e95eq+&V0u48$k5~r;! z$H4d#^kYpTk^PJ!5Ils^zR~(<`kcM-f?~qkxFc8)SwyP3x5j)SMr^7e^G8ordD2oSb zQ9X<$`flv$L=$3W=ucuHklyv9WrqTq3S}{}(+*!K(oj=q#5FBLVy=j_xF){vBV`#* zi%gmBW&p4^G*%OpFm6PKI_qG4Q`L!39ji*vm-d~%q_CEH6fCq5-C*GgxgC%$Ilb+VHKw}S;2sC1-bOstKcE%M(aRSN$P3ZuS zXH@YZlK1xr;~Xs#cu^AuW-TIO1w~dFyeYCqA_d`0jRY5-PcIz+oUNOpdDZ6k(Y;7R z1)EgN8^AH7Z?#gT*E6VwBLLC#tz;jd?>G_7(hgovro%x38*X5MJrZ*>S|X-zHZk?( zTy#chrPq@l*@qkYRFj*VF%th#uV;wo%u=t{Q_F6U!p0ysfUS8Z+=~&UPQ==@9$brM zrqEh4|8(}}q*&SaR5Vg(h294(&4{C?I%S+G`Z`jDWVuz3;M`IK*`ACfG0{?u_?FNR zy*Q*j073O)O@TRxN3ih64wOUP&vSu9P`YJCrzkhtqUm-t9lRcsxEle?a(3O&}d z3Lso0dM?0)p42M}7ve(GlOV6tuvXO@1zXAmt45-e(@X#MdAf=RlU?BK8Rge<^gwUL zm=VF(>C&lK8d(xL!D_>6tCT6wyDOrA3+WG|0$~ec^mQ16zWHAii5(U_`<>naz_o%I9hbD(9VQP zd!rH$wh5~&qG$TAgk!UI>+zwB$@<8wIy5~#bid4kp^NByTWlzpj4PIr@7Fr$Au_8H z-cLezu&hXZloV;ebWnu-2#Nu#9s=>;0Vv{Fv*_2(K~KXt5(Z+SYEKX9^#jy{MTvTs zpdQNu8Maj~q&EyuFQf_EOH?I=?RnLyaTr_AbQn-oGAL{@8DdkcN``x~&_`7=($mI& zb$<_5Jpj-HJvq9Vm(+tj?E)0)>A;1aK=vZ+H<8kNC!`ux5N)*gVdZQ^#89+c4NMF( zu<_FAAqPfhl)-#ncBwl$gwdEMEUzvyaJ77 z78FLKl2{wZc*pb1n*D^Wgwm;s+)zEFS3u_#HH&I^y4g^fMa+w?#cX5&%}?~u`AaY_ zg>QEJRq|kXy3}!YVv|BR0#ZD;80D9sRm`?9oFmB4Ir0#Nk$CTPB+dRzP4*kDG&SNG z?EOkB?H}>%R6LaAEl!B@NKBi(Jo2i6SHot7J%%PCjv+K6#!gySpcNG!FZ-^jI8+_z zjf->S@vz*eE;U3wjk&AADrT$x>KM|f?rU&|7jG2S;V%tnxj~qCo2ft;>vro)OQW8q z;$g%!ry$XW%2+7rU&JECmuIbXBq6eqXfTqdU`Y2{RYIj$%ri{X!0-kQ;!r%5i%K}68q^Seb2=qsh4G~y#XQ50 zV0tigXcZ$%5=+NqUmYtOY6Kr)L~ot)CT2u1J%MD?u}fN}r?v8BZoyxG5Er=ajR+J@x=N7(Gb4plI_3w~gIcqwxxi~SBn*>ukyI8x=; za#(Q5(6wK@!NQ|q*+KgWap_&L6TrM8h~)%d58YvOPQiBx2k`|s+0ILno|+=I`J>!Q zd$o53QR|3f*?^h_>sU!a<9H?}o$V5Q`tU}4>V!p%dI4fP0Ll&SLaPppEV<)`eHuI- zXNS<^74wKUEcyDfQ>fChV96Wzo;0s?P0};Cz8q&7a9k+41XVjWDQe9x=@p*Ar3aIq z$^@f2;Sv=KQPjYmrIm!*UZGH(aEV$aQ1>c*M5t>mR3}`bRtwZ0l@6{1YP?cWb;2cT zTA=P-+DND;S*T99M6D61`;?~ZKz+|bb;2cToj~2UbO)jCuPX+eaEUrZpe`s4s{-oN z7OE32QHKiDg{9SmI=MuEy9-l- z$oyma-8Ot_U+GJ=p3p$je3*EBz{#sanpe4{IaM%LCQY2ob7>ocr{tAN zAWcD~W0-dZ0s50BOJ>Ca=`eKzJIv$6?W0a^9S(CxABUL&!*V!`Z2`NN@eEUwJW~mH zwrRl#2-dF?EgOt1eE>6kl34wNU=;_YeA!(wXi(UM5&7t7hjs#W+lLJ&eqfCEm~qq` z>0dxg$8&jK_bk-F1EI6=rx9Ff=@=Avw31oxxy<7!bqw{)^mt1@9qJj5yUT`p zUclWk4Rm+!#SNHH;r5PUp4yH*y?#1ix;v3W=Xy?}#?UjbhNMBmq>xg%J*d>X;-u1_ zn>^{Fh1=u8MNJ1Tm0`puqTG}6c20KHmHDS^hsscw#;bnnmX2-mR93h-E0%F~iisu+lwDHsd$zP(mg*1RXL~NOPKt? z^93S6^991>`2qp{2lEA@#|?}5LJ_L;t~eV&=X{|Fx6m1=OOXQ0!^mhNcvG#x!an8Zh)f`xDFmj6egu{1X889DS^ zaApTYx^o)iy?bXpi#d0~rdWk%U zkL|&O@F-g_+lU|KK|x&8w0tdEksidCPNoGrju|%*AP*u;_8C7CsD;@UJQ@ zYX?5V8Q%?`*Y2sTX8NN9{?*_Z?x>euO?s+JR4iuqs<^ZnvGsCC_*?amHcq> z-W60Y8S0yTGPkS@9K3+_Y^V8-{ZVOX22*L$(7=9z4L_Ejx4}aZEUEX2vmA3) ze)p|o4t@~&@0f!RA{tN?dpTu{0l`!0hz?KX6g(|1dydl_)boBwdsk4Inmb8KB3^9l z7&!YMM?Dzr>;cV95Z$N;9cPse&UhNy)XKqiq(0`F7LzDrNn-w5%e+$-yI1MpQJ%U~ zoyG1N!LFb)6cZEz^fy7df7HO4U!GW;;A9a)gC!Um>U(3iUDkGFTqB4~sDw7ENN&I|0*SYGha@D0W)IA7>;;f6T>w~eL z^c*31mC0Vu$ZSGyo`;;XGf3DN4yM!1T>PlvU?(m}_uK@k zayZ~ir_4lO9K!(-py7Zpc{m`z|6n*Edfc!W4$ecv-W4|k=uD`_iI{tH>6+~@9F*g5 zxOSq*)xYz(6UM;+8NFwx72^_;s+`EFn(lPq1{@u(O zQ;|A1a3tLaEfn@5UPQ+9Kk^fdj6zw7QdibfE9P~-1ShuJ(A~&V>jY18pIO)~RD_T$ zW?>h&4E>hUh5g-Ix?>{juN;T%&xs-v`bnbJeWhXBBeQsVqDm2*aEaO_ zQ136TCe+E>D^w?3qV6D2e^c`0f%^ZH_uhe3RNEWq+IwbBPAVsz8d89S&=Pv62{oZ6 z5Sl2G3nB;#0aOrm59Zw;oV0$&DzDY`Zqh6#>2oC~IO!69 z(&~CQDIS^N1EyUic^OFhgFk6?y_>YRll1Q;dpPNojH&>t>!VA;Iw?;G4oP@VI|CbQ z1HL$k^~+f$eLJb@M~oRZ>BxXd=w zAKDX6Xp$wi4zpi9#VR@9NhSW))!j`T3_fjsF&GRJ!ch-5;Dczu`rLr=9MG69s$mzr z$A%k_;~9Ce`JP1C)te8m#&MgEEj2vh(_pOgA2D9s=BH3< z^|mVV$H*46mAHwm!|d1lQ*~2`Eq~)w^;r&Z$1egb$?JxzG|r$>^GX(WQ%yYcrQnk7 z-BjwYoe-Z#DZh1dW)GM0_v)o!E39gU&LxL3RZAW*rCBPyJH1QwM9{3#(2gJd}w6Fb6+Sf|<_Erftt|{Pwme-Nc z*-8^>`kXt|w1a(7`;=S+HZ>10V+bHPpor5ssrg$d&Yne4Ft!GqLmz6Jgz<qXD z4qSMNV#KA2)t4yj*Dflm&L|Rf$}l*k)ZsJ!frwIua|zj~anV7JIZn?x#D5cU6i+P@BwcG&ho63_gH2hhb4;*Cn7;}q{@j1!~IUCqjjdGd?*>4=-8>1 zBFRx>D>R9Zn?%of3%PM1Xi&3wUZ09vx^v!!s&NaWNi$E%2(A!6HNweK=i(rd1$}Es zZ5U!_j0E2Dc1e1+inJeOe^}?WsOlNELOko@Q+oPfXr{ghf@1KoK;hGGgwmLPKTuXX z$y@Y-n`LWJNouT-!zWmTy9ra^!%fJ3UgDA*Kc6g8b`3`)OMpE5a0``kVADG<#`979`csc%&<^pK8@@_f14exVO@L4#v$W$U|pNpLE^TxZO^) z24idf5=BYFhEjZi=D|ZreTU`r!rwIT3%yHj=%<==eFmIw5dQh=wv3{(-vvFv9 z4;^m8xJ~euWR@EVb`_i|`Z{SgK3P#fd^WKQ7o)s6w_x9zGd=lR@q1ot#7&_t5vy2T=;-AlluYHP_**Rvvn&5x3dC#BXyv z)E8}r2_(HuS{TjA;&2zG{k2sXH5~reR!EOhVkn<-Gh=8%W^QH}g~jb@S=Xk4J(f1D zOAj<)ysce)k2vbl_o39fRM|Vehlh@~;<~;vfU$#zv8!M!gXQZxaqWL@w6C{^hBWy$ zCx})iPiUD)KQ@l&mq_DUy_<^%+?(IrG?C6Vc{ewaUTws9I^n1Gi8LghWqa13cXNa2 zWHXNXk;bRnh0&Dc)9n&zSk}9_s6i91$6n|?^mHP(&{p)HhZ;2JUQ8V{0oIX7--N!5 zyFL&PE=n7W?r{}b<*H5x+Xc}Fi4$4|(O()f8i~(BQ@aV{@>Ir7wvdX(&!T`U8nWw? z4SC3XDZN!_vSv~$V~cq1v-!hV9+<|pKby*$W}_G%OymLeQ#|8FjEo4{kI@rEk7Hy+ z(C$t=l8O>}ByDcTRSJ=jG_|SC4S3B69xUyeGQQVw5`2lujb0 zhu%r%ATH~}*wf@t?v^psPl7IQzyZCR$+^ClF?1D1Oc3R@zdI(CiiX8?z{|`Gwr*>X zZs&*59jQF3KayJRmo}K2e!vQ&u^2=#^cM`480wbzV!s%A(By$r8P7H7)E>i!?rh29 z=J}NP9(8F`e;z&0^?N8aj!vZV80s=&Y125mFmy{(5A7YoLv{QJ4*H;!(j})&8pi+X z=G@?iWQcW=hJ8WsKm)E>g=}mE&?Hix45;U29DEVV!)l;tT6SQkAEYtXNni|=mN+&t zv^_RL^ty+>Yq+#O&olh_Ri32yKOgn5@#UNxA-sz$$z&FZ8I+AHnmMeku&+GK+S3QZ z-llFD8LAg)rQ&_`Q%JXr0(BYn71p&uH@tD{3K}FVr4_Srm=ihWsFuto&|ie@i?Nwb zA-u{(5ry{dmT|4RneGDd(UHO3GG>FV5Zk|cvF#RGDYormyM^u*+uojRyOq|6ZSx?` zcPo{OZC($y+4PXuh7Dw!O^=Ap?A6VNv4}Q`@uXxdqRnD_Q8E_O<6^r@G8WTQVhfZ4 z=h8N@y&<-_v_ovyiftY}Beovma~}O&Z1+ed=F@JmO++Q^*=jz$D8@~a@iux{jLRhB zZS;z;w`oz^47Gp`NV5&hU(_~-7SjikZ)>kbZLd`;>1#E$8Rt;LF>0 z3VVGhvlnQkcsbQ`e$KV(WqMHZy*y}s&TRFvP3y#XOK&#rrH94XIhT!lX_MGa_F&sS zdQ@zi2eNG+J>i5V`S#Nmv7H;tw*9nSY&pF+-z!umwnVYLLeGlre#!SL*}KFzQVM*P zuuuvO)lVWlK;>c!l1LBGUa<|AjIYstvBgTh*N9(n>!T_C4))8T*Xa$s@xw<01|ICU zS{n|12QgbmOmhe-lBhs@v9*Y`$%k`K8hW}~1dY3*E7FUBs;GoE{*@~X(TaG8WEBa2W z6;A6?_!Ttgj2nT?IT<5{>u{QnYBTN?93Z$^u)g3aNz+;IR4k{o?-BBykQ+oEB{;P%o41MF zUgS8D7uV(@f2e&Y@ESPHD|$1FaR4fiSM;>VX(InkF3E-5R?Ja`Q+$;Z4DU=fYWj+Q--|g7GVnJBog_;11Cr7Wu?T4s=fRT43Mk zhk-qPn}FTJ9s{oPZ2@iwv$x|DeZJBhAUHD^PqV6QS__pv2~GXklqHlCYGH}5yKq8Z^coXBuWv@VbMG< z*iAIoi#1ZvE9epZLP;}5G)_Q{f8WqIP|Br<@qel6*EDZQ!+s{{H0;Mwhv6DLufSYN>%)p~SB*n24Qj;IfT0Z|_T zD{Gy-B#69vGUxqjjTK#1&6_>A7FH6_DT%ATpc6`n6uer7UZiB`C-QYpKqB8L`WYfS ztun*+HN3Tp`5yQ|82J>HMO(m}D4d(qjF?)$dA0Bn3;I5~4zRvmZQwj0%~Cy-&eDq; zL|?sy{#XvD!)bB8aC$8v2{^n#3JTjN-iFt00lAIL2M6ldJoIA2cvJbbVQXI-HO}Y& z+-`IM&QMvvCD7!?WB#NC-pPFnF|kf`*{yx|f)xoX_P*xn1IMdeTV9L)U{AViv4>Oc zb6IRh_EN#jhSNdqm|hTLvA5w+X1)X%VY|6yACICGmqll@Ez@NY-Ir|}nJE;Mmi z)QDsXpqaQ5gSMbrtqLiSo^)BZW_H14U9Ef_NO$oi2&62qe7KObjW6_rT~GNsn2xwC z*T~l)^rg$}4`2+Xs1}^GnAWDZ(qY7}#o>%sukL4~F_g{5s$nbv^QS zbc~fv=lJT=<-!)wx?yvD4QPCZWAhAOf+13y@BARpM|8eUqLD7^oVe20hz94MBZC@W)iEI0+rH@jm z)McNvEX4AujV^19XNjBAA(wS);lr(jf4Hn!i$c87>O+_HPbjoOKNec-y*$AO_JwP_ zuUR2Ar|(_cre;1c6L&dLU+)bV&n+lKSh2S#&IcCl+M>D?;{2(BYm4jR18d^iOl)bb zsHJO*Zs#Mr6?Jfp+p$@sVOPvW6np<}`oOYX+rW%MN~c`cc4dYSY*bY~Y-+8kz_q;+ zXhU;c+l{cbwP~JfyuE`DUwB{Q8joTYXh$nt+o_>Gu=`!x z;7)}&4}93QUDnA5_PA@?g&Cp)J?+{KX8XXNcWqC!@!|Uo`&{;5n?ii<%0B4Qf@Xa@ z8Fb8L*EfrX@r295S`X5l=#0yfTCewYqR(AsHZ7#i^qtFUH}!#;-K3i+L;LV`rSUF{ z&Gg~BL}y(#Qa$SHM&s?CPSQ8>aKKEJE(=2g52Omd+=tQKIeV*T5LNVc*iYHJe0g-C zkHflmf7v&j*5E=Nr~F69!@eu2{s4zXb~@}EPhAE%?3~w!^?lic9d@d@kFKFExwb=> z4LR(w4&UZa6;rps6ehSzu znl;K{gBpF~n?uJgbJ)`K4}CU`zuaMs(tq|9lXnc}f6kcK^=IEAdhSZcNL@n0m*cvp z!#3p94Zojo0xu~a4@e4sh$^mf*nKTJgg-^QCpauDt9$sZ*S zHjQn?6c{=&yh2t;v6r50lIbLs$_3m76g6OK_-U$~>3Dg%?X2*RsnHD%n}XK;ksBT3+g+!Ie?{Ke4tu`M!tn1XAJ>Yxh<*K!`+lb9aK)IJ(e@jkQaf&T zSbpbke3q(ztHauNx;s2jZFE^uPDyx>n&@_R{m=)(L)D8#oDxfSzo$x{Po>Obx`2k7 z4~IvowA&rl*F5KIsMg=%up9eV`V!T&MGl+Ve_MDHHS(_x(;4S{X^QT0SV7=7IC7YH zx5GvSz7XC)mEPm9EP5@xn;LnaFq=NX#G0cnIFwFx4hiq4cB8{Nn8&&#Q@%R&fWr#0 zH4j%4A9UEs?2zygDs8R9CU-d=UZA?Hci7zlXTz^mnU6T^^L`z|XQ*13!!2*l zccDvI#8UO-R)-x;^3gIiZJWbhO4{YSTcthiu$g8|M2Wh2hr{A+jLZAg#+?ogZM4hx zfV%uyhb=_Xb!y`-huzRQK4O#Fx7%TH8EqnVsEQXHwiE;E1+}@{VH>gezNl8c=&;wY z`M#_!yyUQoysU^<)N`*m?BVYAF5gl0!vUtn^hw4u=5dvVJC4ly1UzHDr^dVN8`$1g zD}*he+eZ$G_&}w-&M6mA38wB3)x}R2TFLaW+AXY@Ua*>Z&Z;A) z9otSE34Nlx|8&^1-ShRQYQ4*vU=RD5TK^H-im7$iWU|kxJ1U)|)2*$Z&y{(`VX2wP z^p$$iWs`;{(>E&jbH|pJb!Ei2YSov_aDgskl>R|^zjAE*y%QpSRPip`-E3-v)(5_J zZ0m+?^>}pVHxBEOKOrK})@NP%g?VE{nBI1Qjm31UH7_DY7k%p_z0;Z)URP&+=dg~g zJA^mTXI<7vcL-0=`9CjrfJ9fBwo6B}}#x7Q0j)Qb|x&eLP zQEwBrKn}J#>9zrqPtF}W=>aa|bB9iPyzNpxCFrDYb{U@obkZwa*3^6?qLbe2FxTlW zKTAf+W5S$+@Gd$N>+m_y3D^U4(P@EI?9qsBdP$JO4q-fH>fB(Q|8i13MDC%d1v`un zk$dX9T*gPpz4YV4oHK&ny253Ayxdz?hB*27;JvRd4RaVDu4n60!is4T4&}4;DEq9MfBI}BOK$vk?Yj}oyixmV7sT&&WM3}W30o{RC&Z;eFXP| z+4d~l4AaxysQL~wMm`lWLO0>H3Md{=;tg zK>G?k4V2maBR`55qmLyy?6s6HBL1RRG;-K;L%)j{r@wUBeM5BQRXU`xW8)+H33|LR zr|&1~9S-w;p6rdBs1Lf#lM)JcoEe}0-Gqjkq`!2Hb6ep!MR#e!P8WDL zz76XTd85vBSyZhKk+bwHhuPkHYjusBt)Fy_Pl4T}D_yoWs%PXJ9glbCaPeheH|vou zyHG19@)muU%ffs)k+D+ z<)^nrZqet271I|euuNy-poV9N-GO&T?$9e-c2)4=h~0XJpRI}9r}^D0T*LOL;UPUs z*aGU`U{mCq`bn3qM$5dVcl%j^9eGUGZtY|&LB`{HqOb+DBKOY7_w;iv%L!Q=aavdS z*_y~tbZ#3b-_xk!*Sb{L0{Uy>q{wgddoJ69mib>CKGv(Z4|l2&+_)-I}58^_H!PdoG{kAEP2RY3O1f|S=%AF zCT#3;+2HADOB+SX;K z+7?nRV}Q%PZ0iH7ehI;6jC5@pmtlOyG?#_pjL&D>>@qGQ+*siskU*K%VMyXs9huMI>s8; z)&!^Gb&PE;Ym0;TI>v67-49z`<5&mT|1I!724h|0lxyVcf%S|ZTy`0*Qq(iN9i1BT zm5=&Hyvz8?M}4EY%lOJi1EZJA_{v8EBiChFs8XCU(PhI>r8r|I81{b)yq~r%q=p8b z`j+vmaG9W?v8pO5E;7a&PrB@C9Q(u@&$%oQjhJ8@aoJU9!vv$kWm~<4lxSRV+23*U zooJXC0bJfh*piI;%y|Dd9mXVsUo^zV{kSaB$jEfr`#7|2WDIawM_dzXY>anV7On|3 zHm13(T|yx>G460#CXRHQ7%N=H9hz)xb{ThQvav%L_J7=?DaJw9$UT};qeq(>hzr** zd7qvdT*Y2ipTzBsZ06ctR+VvkBU|{{`*BAi(~W zD5|fY+3d8xF{GN)0mekX(?ZIv;k1ge)7YpXem9kIaZ&kx#y&?Hf34~`yGLDf(J6dZG4|OjYKq@WWnBL# z{zNKw=*#N;IQvNCbi;#JV^lTi45PjuNqX z7$JDi2yfclqK_JF9fm>bp+{}w4%f&>!H*iHF5{!%M~zCC@lo(*15eF~8$Jr&Y(%;2 zVANw#j~N48b`tDyW4_D2joKFVgz=oq!lJiDJ!yRDFzS;3Y}6LRZjM#Gh>b>sZ1rq2 zy7*Z^WSOx-STP;O0mie&sVW;XK4;YL?&SLm@;z@f_p^e?7mWGBaF&C7FV{G}*lQed zZG3#O&**4pI(6b*<$fdAWxT80Z(Qy&p1oc%X1a`LuUCvBm+`*hRb!RQcwh0VvEF68 z13F+l=Q7>_9WeH}jCVk<85NnfQ#|j0UNg?R#>4rA^txeYIkt*?ADGW&pTPEp!LOO& z9{mosH;lF}TbEf#2aN$PdlJ`s4;mv~b_iGg4;j;3_Ac%U95Qasa`%66T?^?=V})x> z>FNV3b=j3Tz&LE|aM?9Dz&KoEdOlKPkXA7sq%TIj?H`tvaR;J~`56z=jbBoxR|Bt8>HJny4c3Kg2((k4+t}^PhpRv<3#!uqK@%gb4)x&8g_W7yN#bGk? zKQ-=RR(1aOsj<;b$|L_%Vuxa*jQm!4)K03tAa9P`syTe1xY=_y@ zHl%BGn7Kx1G2M+##%G>&lU~!UXLPvPvajRD3fbk0F*E(_w#a&Bsjy<|jeH5_IoI|; zg8|WrW_-4jZxha{lFa6QHY~D{IZGJM|DMK4Kohh2IY6?x&o%NknqoH35jS4mM4Otu zT*jMdQ#03Pyosio6J5reXsS8WWv_Ps39oou;!{Z1!Ek2UXbm~3ie&Eu|(_c3G5 zFI~o4nmyL+f>S1*%Xm{OF!No;n_7W6(Pgb`l|}!>EOl8n*f{f;!{~J2-=oKy-T}^F zn}xwP!Hn{=VUbsxV}%vdNQ|{fHOAUCw)v!MjC(D5y2;ny+(V%wkvEu^iBqSa zZZxO4MQqG}H+qh_%3;!^bIh}@jhl3iX%2G2<|dtE4saQ_=*{MMmvM{UY|e67zVAfz zE#{N_`X+AtDWJESl`e~ksf@PG_`!~?C0LO;(q+$teHLA8-sQ4mU~|oVF8gcr*U|G# z%60NR2{zyC=(41!AER$Gr@5>L*aCB7uDk!si7{htH!ED@6tFwY+BjY2&Q z+GT@-hs10*r}^3CG0&PugcVab2I325qhZeZA3ZUwPfWQv8I&WvD`ZH_ezVBWE{}P` zJSD7{vQgmMX4~OT$~y;ijX7#gaajWd`VaGFKP!lQ&paZmn5LkDC(K48oO~xx!4J*L zneqLFZzgCr|tv=r#&{XrwEk;{00(8x-289y!2*vfX8?d3-) z8e9Gy0=C~KR=%5*XMrZx6qoTV(8QYMGM)vJt-D;tvp}-7#%0kB3n|6g=CURY@vw%q z+hwD1vftD?<}!PFYaeL!;!`a&gnxHb#d!L-J_hfQ6C3Z2Zi#8>XFMUdwmuZ6&g{{~ zy5JVEF@JGPhZ;Vs7<}4s%VIM8ZYtwe$8`2HcG}&FyPTWUahhqh6~?=c#WB5VIIUtF z=!Td+elL}APsC*V8T%YyUFP>`zZ*Hwn&x-9D<-do(<;VJ%VUQ6-BiZC8Z*q#*y$*1 zrQhkhk(XJUtN9#L!)Fy^pYPZ)WBqO_<4(l<#n0I31nbRePOr8q{Z1FhOs?Uyim}tr zVy^Xjsf_z3W~!gD&ly(O6&G97o@q4_>NM%B8cwSiJGEkO^1G>w3yrBk zv)mf)vf)Dq#jdc%xa==O^TDomm^i)1TIkxI#r42@tYt3Si|c{+SogYYPUpR}(t5~c z3p(SmZ0k{niI);=_OkzX?pBppd&KxpH9QgP*Q^7=UIdE<3m7Xkl#Hut%onSy6tS(O zYZI=gRn~5o>Acag_gZZWINwT|+HQ308tX-2%V~e=gxCkr+1UT>?7+{e59-KxrQk}< zvJPOZlg1c70&6Dl!Y!6Fuz*idFTqJISiTfBEt0%h9=5V)O^!TsSWOxGzm@TvXkRBb zR0Oiz8X8USiHx_nLo=fRRQ`9=Y1}R^R`BCc&oJNA+RPIRg<th7@&YH!gM zNQ1S4Xx9MRbyB7(&^=P&$c#uoe=%UW=MYOAPAEOUw)5 zB7#1GQ$<(F5NnNa4dP-HnV7ybEyMUwlqCcF19XrohIXXyv$_}p{F$+1>#yP3NUF6tXT6S9>$|!g9ghm?B9?J=m1poH}P;- zf}2yHb5*nA`8PDFmW>e0DSi=(vo&9Z%r!%F^miaoJiaes^+$IY^oER*OoXB-O#*sV zy5mhuQ<^?S(1uKLrc7v<|8JB*ajOgpp1DlA1`TD&xb@Hm)F42{t(WFO4y0{xgbzEz zX>g5sf+rut)l^7f-%DYiwqT!8vhCa^WzCnekRAG2wiH$d*I1Q`cmwDj$X+Uki$HlY zI>?<^W_RZrL`pFQGM=4c7NG!xxUkuQ z!(ge(vAaq2Avf|d(ex)v;(M!U1N6~&wgStFb(=qHmx`eRf{e| zm9StPH4dQGXfrQ8hb{}GJ7q>mZYlGBk&IrR=@c!6{9m|pJ!q+`Az_&kmL*|%h{Fny zu)GqM9Vl@HNnF7aR|p|4IC>RrpeY9#3|a^@>1L_ZDj-(7V?I#yh)3#;jmn@<*|Z)+ zn_-JUTWU(h-qN7?Xahyh05$OkoRq7%0UeF`pPSB*7)^=Mk{GeP8W{p4Mz4ezC?N(( zh{0}%pQFt*1-4)hQ5Z?swLrFLsI($?jixK40==Oz=@_;ztd7IsGuCL26mu(XXehD(2U%@MDW3o^&<+6H}5w?*mQx0%%bP#ymDc49@_X zjN#^`nb^JqX$Kk>i`3CU!897fDuj;0LnvOm!E@!ikZVyt$T%>Oj^JY+Lymb&!dnaA z8P8$DbCd_;KY*@BQ+sJ|KD&Nerr{MR_}@P=m@U)SO4*t|L*tt=J}h~t-$Suz;{duU zo6F)+5=bY9WBdnE7i>1cv<>DEnuSdzls2Q!6jez7eSjKcUXu>usl#%u*GezGgLcAF zs~E=Xag>K41~h1N3Tq$$Ij^Rs*mSFoo+rqWU>Equ{J#h3w40$XvQ^3JvN%IKIneHj zq*yd1)9ts_(z8|5Nwk(hfs*Dk$l5)qzXG9a2@A&!5=0jK8>#5?HG-Q=`~rn#bT4!t5itk(2C29(q6CjCRYgAcm3v~Ep(jVjsI z>a;3{Gu#X`qzz0tpvKy$Yz~p#VLm|Pd)>}jBb^n}kAvueG@2awz6PvWS`D2MaN7{p z=Si+0FU!kPY|iGKgls^6RLOYJm|wp1^vXHmsyfMXPSAQv=ugNV0ZX9a`ePY-j{Fg1 zO+QQVM*~?d$>&PW<>Mcd-as~sTIO*r@$LjPc@SK~|%pVjKa9;OS9lj=RjgN_Q}!8z%}`s)fIzj=m+=K904xc@wj{VOMkf0yBN z5jAPdcZ#;8GG5d>a!qUX!NudI=63N*jm;{&Jnc^x!0BsluFh!x_w@LPqf??Sb^2vy zp0O>Nv9b947e)SAE0!cytJtsk!T5KI@!({bH?S=z%TElG}loPNEu zuwT~umztU#cc}-Hx=SnKJu}#{xXl8jMZHo<#~a3f^{MxdGyM7VQa}H&{bg`6ZtP#_ z-QOEf{(&Ro#_8QfvWxo9HemZd%l1FZ^;_3}Vq`8GFB58?9=yqYmcm=}MH$x#aP)^$ zccfIbTaXv9Y5KA~&y1mA7dPzR_9pW`yZ+y}s|xf_d*karza8Db?e5?9hU1_AwCVmQ z!D0RL|4G08+2HIyH%$JlyMNo8{inz9pV{Q9@BQ%pL5zk!(qR18oJ9X9!>>85>EYj+ zlz9CAe$D=Gw+_tz|IGmW{m_5kdJi9x+j1OkP#MkwOgRj<=za8@hr0FWrj|tib((-0 z#{pw-DFd(K5VZME%|j@@a;=F^5)3(EFzHpG#=kl+L7P5Whc& z{&!;n1Io-sSJDhIf#)FLf|9wg?w*P9!=hdfPd^-grL_afV-}sqW&}tb8fT zl1ot@89f2geqQ%gTNMG~B zaPIj3ch6w{iwWnF`R4y`^Z%tS_g^0WTDRdQ1h)V%qfz9e!w*Tyk05_M;ByqSE$}C#oSIfhTg2NI z`k;O^pv~a!|b%{DPTr5!$oeCI&FYT@HWaxY zo*Ldl?}y@*IPCgXbpm)B%-uUIRig}k0Eue`cgBSQ>(zNE^i}il-s{ygsNG&lFuCzJ z84a)+W;K1=dyr07eN*%GYPvmPkWN5hK6v;6A3sV^WvOFyQ}g{~PWk4D2|C>@84;(J z8OKx5l{OMh(VL8l5kFA|vQ4HeV2RFBZHxziuO~kQ>}EWov&i0bBGL zX`vjIG_*|bG~PF!1x`raqjOaLuri%vo*J@OFEcu)zK&eEXi;u64}!jDm=B|5$M6qz zo@r;}*|t2B%{=IQz@zog=uu`y($~5Gp;$(-%186jLokpVdtS&TvNWB_q zI@^g;jM=KJ)pR3I>b=l3^Jf|9>Z{@FfcNKaGM1sK^L3&6TMAxD5S1HZE(hD zl4>&v7=|}e)5*|bX1W@axYe9(e4G0W097-am9N+AP~RYbL1esn3`^Zu0d)V|_fAa`h;@ z|8kS@O;a99VHi;9>T5XKWaP@=dRVsLABP^W&KU2eVzyEvn}2HYW>cc~m;PJtXLlH+k=+t<0&>C9KM0ZFMV{G4X8k)o3Fer@d!X6d@Ltar$oG2Az%||sWsaw3JcrD?@o4fPGY_-d zA#**RXg;A{4}8J%j`?N`Z#z3uUIoq`780<9jJTTu(p9@rADZXYmH`W(DQmnW;EXw> z{_=n`ws}5fNx*qknan{{^u~;)np=!}hO=g2{-XiBDQ*e)7R6TtC}(0u?LP_#*L|CR z28>Vo4Az9WuL1(CzRiCC#wYy{PzNcsSLyT-wY&+|=%&%$I(mPrdfpJ(3T7Lz&7MIQ z*kSn7)ao;0tG8IKXurwGvL5Oh7dQ#SYA@wjKQ~JV%(2W-DZr1Kr3W^J)AoVs`iaEu zff>NwfqB*iY>K0-2S-e%QP!;<#(N7g(&gjlw zVhprB{O4^UKMQJT^2{gVxf!RWeiXRSIGTJmFdacO3}Q?TDzs#ivv#F+fac}QZb4_L zu+xN~QD%939x+Y{DwK9Aws?6)vBgU-iY;E8QEc&|jD^-~@pjNMYeJm8IB21@BgICB zPvR1TXCqr`aG~BFoEE%Rn?rj9pVtL_`vQN)kU6ivOdJrr+Tu4QY(h%R7JA7reob@Q za1J*vVRrByDfm2aA#w$d!Y>eOyYNt6g|MlFGDfObnf_Q<5C82VFN$U{XlT5uc< zfMzn?P`f9Mrc+rxX$E}^oI_t^%@fT$(aeJ;vGzLAtP{;TXv`kvbRWe4*WnTNa=cNy z6XdPbtH(*`Z|QLo@4trOq!>=ptF#J+!?df1q1bFFwi=4F8H%k*qE8ZilIW8}-&6EG zMc-5OJw-oG^y5T7PW0nMKM(qt9_y6t{NZBOiMd=1CtYOyNzogcQzp5{`XtR^^%TuG z7g;|}^z%fs&PDMr`f|~nba5Tte^~pZ7z{%Sa8U{{qyW*3b5RNq{XEgEb5RNqeYt2( zy2$#IqBl(TZ3kX?lvI z0?`zRW}IloNv?5{t5~eXVx1?}wW3)onsuUC$La0b>mD*Gc+4V%;OwaK!2U4&Zvni#|#8JzZpLPqB^_>p0OD zi9Ao_dE#N7q$w5sI??YIxg4^Mxk(b0OQH%foRmc5l~BAAidRDMN+_aF5`Ct~Jw@&* zX?jYUv7#R*`XZ6%i9Aoz%#$>wtjG8l!){4bE^@gfDwjkRqCW}!`#n#3|AiW#6b%JR za4z0Q4SU6loGCa~ut=~}aJOKEAO&$=C1|T48E8V{1ruCkeWu7+F0y8<$OSI4rby&s z7g&;Jvs>gnF0!UV%2Md8}ZOV5#74!84&JX?Cyu zVJB&2uQP%P;p{U3?-PADD@)`ok#oYoz;0|(xXpj|hkuVm`@{bwXsAuS_J;?nr+S?c z{Tb1p31|Ho=+E^EjNtTv5u83Sg7twB!Kz#DrlM~u`lh093ccMsNAx+O&k=nN^t*bm zjaL@p4yK;&YPi$#u4;Pjb-V+D%@ zO9gieRtQoer;KN`Yi9}>D_A60D!5y)LXeUqgJ7oMSivH}(xhkUj@qS3<#d1T_(m+p zH!7#hx}_qQLjGsH_{O4dTu!$)C#|jn+mUb$qA5-Exm(!ZmicC&JSrVLJrr=n?BEeF@-GUWa<j~>+>rLyJ^?~)H?AK4u}Y75Re?uE}(zF@PI1<)&!IVycm$;ZRzdo&Gh#7j`m*V zUFa>h?(y#O{_GtSxHxcM;OBv6P~V_oL1TjogKh}AKj_h*ok4qp-U>PybUx_kpwQrY z!JUJ1gGU5k5j;M4TJYT9Wx*?h?+Y#semJ-+cz^Jr;G@B3g6;2vLqi&dB!{#LX&2Hd zBr~K>$jFefArnGog)9nL6Y_Y-?vOV_PKA6O@>7T>G$b@4v`uJM=;+Xb(5a#PLi%_# zXcIg&n}$^pZLubT@YM@EvyQJ`;8|XL^&%74Jq))+@YM@EcaE=K;L$;R^kOVI_((?Fu}_GY4wqwZii`Yzy%uu|Y1Q5%5)QBMLZYwZ9IuC)(1!*?9mF6I>QgRrx} zvgj{?IZ;0VXT+Gedp56D2=M#pD8=7sF%h1HH>cxsUbyR!h9}M1;5lGBgP#IMEqb69 zLoh6cq9*wiNyG3``Qa2xBXEUuB-Nu))POFdhBO*=zMK+h3?< z(CyTV?w~#xihXGjWz$l8P-Z#xqkB-FseLEM63y*975J5B25?x5S-?9ztf|+Ltz+6T zCJkjQYIzH=PBzOi-5Hz5F(w8v{#E2_O_uFfoAaNDK*l3dz{65lyH>1e+Mf&P(Sqf% z35<_5V|>_g*M;ReQt%7nZd?XyUYBA5C9EETl@ivNPHa6QVQp>0@@%^qN1EKa7+Ak4 ztE$)4shLx!7Uu1+2BjILk~Uj@z1{QCttX_e+7k*ni|OElG6rFvbRKs#0o{Zu}C{t1Yi zP}?$@gtcVM=*oDVG|tZa&5#}ZE!S-`pOQ3Xg1ZE{Q+DRFrh2aVG6J^C_}H0WUS+k( z>BZ{tIzz8|hSY`})(x#0cjoV}hHr@MV0HaPd32Arkmjv~cY&qq1Y`bb;LF6`?C)gY ze3H&&qo@`M9+oy(H1uE4zbd1BQRk_#ctjnO3BGUvwF7$TO5MbUVXSTfLwii33ZG0!hM_>GK>rt@#)c71=0px5T)-kDZkoy5O^;cIx9stz%NZ{3w2LmLtjPKuu@x zxjn4f0BZUdKB0$RIEz1;K2fj2@F@^?pw(-T&jB^A(7yrsbD*X#aD!0Mmq1P5tHVI0 z-vS!?DD)-}gH*o**#p%0#^Jk=6MP#m%YYcF`YXtn12w)> z_zmQ{fLJc8zlD4^P}6c-e-E+(sPO^AA0d|jHLcP=LtYKU!f(xAdAtv(X^l1@-w)KZ zUR%JwY22=$CvkI8)6+T__?!*}zMyLX_u)pPrq}UxK1~O8H1Lp)g@-qRnhtBb4*nd` z^?+~b2EeyLU7G zs+%2pJ)Y*{MRgbdEe?(AP{nXqPB$P|9_8YoI~Vh8E+#J9u=T1STR&0&*oNN=_#MRW zef-Yi_Z@!TU|YxFw*|j){7&Nc6@CFBwyuNU5d5a&Hy^*1_-(}R8T=05_db5-B&L#q z`&Iq2kuR%Zrs`Yv=qswWQ5OEX8m-D^yrE)hm84au(6T-6tB^)zXS7bU%HqBHbcES+ z>Xa#Es-B+nN?GY?Jz%eI;3QGl5SOd$5C$AN+!@OQEb|PV65ykI?1b8+6HL$df$P0>x5MKOF$w!YFZ5!|R z#48n1e8S>C1%dGzy2UOU^%zZ@1Se8UKWluih)!`GnD5rI%Pw8biDpVeETu*ODurG;UG@OaAes(a0-4 z!{_FedA1lkREQN|c)ej3>9DZ+CGS6FB&jP(^j4#-YFg4^tFcC1TXJNp@k~%5?huKy z>q}N`GcM~snHUKG~A zYG84jgO}u$8ObF#ml?GKUW%B@|CiiXW_+yD4X|;aY2>c@|-bFm3^|ySfD)I=#B^>=))^-!xy)YDfWZ6ugnu$5wF`2YzQiv}nlCUPFyrGe22qhY#3% zb#nIN?W0~SJNL2WRS{{JC93}QV>y0VLX7UB%M#C8$5mO_r`C6dzPxo=_~+JVYFS#q F{{xlN?sxzI diff --git a/Compras/PopUpVerFactura.aspx.vb b/Compras/PopUpVerFactura.aspx.vb index 5d3ac2f06..398a7575e 100644 --- a/Compras/PopUpVerFactura.aspx.vb +++ b/Compras/PopUpVerFactura.aspx.vb @@ -379,8 +379,8 @@ Partial Class PopUpVerFactura End If If UrlParametros("OP").ToString = "CARPOTIMBRE" Then - If UrlParametros("CVEMOV") IsNot Nothing AndAlso UrlParametros("CVEMOV").ToString.ToEntero > 0 Then - ImprimeFormatoCartaPorteTimbrado(UrlParametros("CVEMOV").ToString.ToEntero) + If UrlParametros("CVETIMBRE") IsNot Nothing AndAlso UrlParametros("CVETIMBRE").ToString.ToEntero > 0 Then + ImprimeFormatoCartaPorteTimbrado(UrlParametros("CVETIMBRE").ToString.ToEntero) End If End If @@ -897,8 +897,8 @@ Partial Class PopUpVerFactura End If End Function - Private Sub ImprimeFormatoCartaPorteTimbrado(CveMovimiento As Integer) - If CveMovimiento > 0 Then + Private Sub ImprimeFormatoCartaPorteTimbrado(CveTimbre As Integer) + If CveTimbre > 0 Then '01 Autotransporte Federal '02 Transporte Marítimo @@ -944,13 +944,14 @@ Partial Class PopUpVerFactura Dim SelloCFDi As String = "" Dim SelloSAT As String = "" - Dim ObjInv As New ClsInventarios - If ObjInv.GetMovimientos(CveMovimiento, -1, -1, UsuarioActual.CveEmpresa) Then + Dim ObjInv As New ClsGenerales + + If ObjInv.GetGralTimbre(CveTimbre, "-1", "-1", -1, MinFecha, MaxFecha, -1, UsuarioActual.CveEmpresa, -1, -1) Then If ObjInv.DtResultados.Rows.Count > 0 Then Dim Dr As DataRow = ObjInv.DtResultados.Rows(0) If Dr IsNot Nothing Then - SerieFolio = Dr("Folio").ToString - Telefono = Dr("Telefono1").ToString + SerieFolio = Dr("SerieFolio").ToString + Telefono = Dr("ChrTelefono").ToString End If End If End If @@ -982,7 +983,7 @@ Partial Class PopUpVerFactura DtOperadores.Columns.Add(New DataColumn("NombreOperador", GetType(String))) Dim XMLDoc As New XmlDocument - Dim Path As String = String.Format("{0}\{1}\{2}\{3}.{4}", UsuarioActual.Empresa.Ruta, "XML", "Tra", String.Format("Tra-{0}", SerieFolio), "xml") + Dim Path As String = String.Format("{0}\{1}\{2}\{3}.{4}", UsuarioActual.Empresa.Ruta, "XML", "Tra", String.Format("{0}", SerieFolio), "xml") Dim Archivo As New System.IO.FileInfo(Path) If Archivo.Exists Then @@ -1001,7 +1002,7 @@ Partial Class PopUpVerFactura If XMLDoc IsNot Nothing AndAlso Archivo.Exists Then - Dim RutaCBB As String = String.Format("{0}\CBB\Tra-{1}.jpg", UsuarioActual.Empresa.Ruta, SerieFolio) + Dim RutaCBB As String = String.Format("{0}\CBB\{1}.jpg", UsuarioActual.Empresa.Ruta, SerieFolio) Dim ImagenCBB As New System.IO.FileInfo(RutaCBB) Dim nodo As XmlNode = XMLDoc.DocumentElement @@ -1150,7 +1151,7 @@ Partial Class PopUpVerFactura CBB.GenerarCBB(UsuarioActual.Empresa.RFC, ClienteRFC, Total, FolioFiscal, RutaCBB) End If - ImgCBB = String.Format("{0}://{1}:{2}/Empresas/{3}/CBB/Tra-{4}.jpg", Request.Url.Scheme, Request.Url.Host, Request.Url.Port, UsuarioActual.CveEmpresa, SerieFolio) + ImgCBB = String.Format("{0}://{1}:{2}/Empresas/{3}/CBB/{4}.jpg", Request.Url.Scheme, Request.Url.Host, Request.Url.Port, UsuarioActual.CveEmpresa, SerieFolio) End If If DtConceptos.Rows.Count > 0 Then diff --git a/Empresas/1/Formatos/Traspaso.rdlc b/Empresas/1/Formatos/Traspaso.rdlc index 6b8926333..189c9fe92 100644 --- a/Empresas/1/Formatos/Traspaso.rdlc +++ b/Empresas/1/Formatos/Traspaso.rdlc @@ -13,8 +13,7 @@ "Este documento es una representación impresa de un CFDI" @@ -28,16 +27,14 @@ Folio fiscal: =Parameters!FolioFiscal.Value @@ -49,32 +46,28 @@ Fecha y hora de certificación: =Parameters!FechaCertificacion.Value Número de serie del Certificado de Sello Digital: =Parameters!CertificadoContribuyente.Value @@ -86,16 +79,14 @@ Sello digital del CFDI: Número de serie del Certificado de Sello Digital del SAT: =Parameters!SerieCertificadoSAT.Value @@ -107,8 +98,7 @@ =Parameters!SelloCFDI.Value @@ -120,8 +110,7 @@ @@ -133,8 +122,7 @@ Cadena original del complemento de certificación digital del SAT: @@ -146,8 +134,7 @@ =Parameters!CadenaOriginal.Value @@ -159,8 +146,7 @@ @@ -172,8 +158,7 @@ Sello digital del SAT: @@ -185,8 +170,7 @@ =Parameters!SelloSAT.Value @@ -255,7 +239,7 @@ - Agroquímicos JAM, S.A. de C.V. + BDH BATERIAS , SA DE CV @@ -351,7 +334,6 @@ TIPO DE DOCUMENTO: @@ -359,7 +341,6 @@ =Parameters!Tipo.Value @@ -374,7 +355,6 @@ @@ -382,7 +362,6 @@ Serie: @@ -390,7 +369,6 @@ =Parameters!Serie.Value @@ -398,7 +376,6 @@ Folio: @@ -406,7 +383,6 @@ =Parameters!Folio.Value @@ -421,7 +397,6 @@ Fecha: @@ -429,7 +404,6 @@ @@ -437,7 +411,6 @@ = Parameters!Fecha.Value @@ -461,7 +433,6 @@ Regimen General de Ley Personas Morales @@ -469,7 +440,6 @@ @@ -483,7 +453,7 @@ Textbox4 0.05022in 4.90719in - 1.62345in + 1.00267in 3.35633in 2 @@ -544,7 +515,14 @@ - #008204 + + Black + + + + Black + + 2pt 2pt 2pt @@ -564,10 +542,8 @@ UNIDAD @@ -579,7 +555,54 @@ - #008204 + + Black + + + + Black + + + 2pt + 2pt + 2pt + 2pt + + + + + + + + true + true + + + + + CÓDIGO + + + + + + + Black + + + + Black + + 2pt 2pt 2pt @@ -599,10 +622,8 @@ CLAVE SAT @@ -616,7 +637,14 @@ - #008204 + + Black + + + + Black + + 2pt 2pt 2pt @@ -636,10 +664,8 @@ DESCRIPCIÓN @@ -653,7 +679,14 @@ - #008204 + + Black + + + + Black + + 2pt 2pt 2pt @@ -678,14 +711,14 @@ =Fields!Cantidad.Value @@ -713,14 +746,13 @@ =Fields!UM.Value @@ -737,6 +769,40 @@ + + + + true + true + + + + + =Fields!Noidentificacion.Value + + + + + + + Noidentificacion + + + 2pt + 2pt + 2pt + 2pt + + + + @@ -748,7 +814,6 @@ =Fields!SATClaveProdServ.Value @@ -783,7 +848,6 @@ =Fields!PS.Value & " " & Fields!Obs.Value @@ -815,6 +879,7 @@ + @@ -831,7 +896,7 @@ 2.25503in 0.04048in 0.34081in - 8.27504in + 8.27505in 3 - #008204 2pt 2pt 2pt @@ -894,7 +958,6 @@ - #008204 2pt 2pt 2pt @@ -925,7 +988,6 @@ - #008204 2pt 2pt 2pt @@ -967,7 +1029,7 @@ Embedded - jam3 + Logo FitProportional 0.13104cm 0.08425cm @@ -980,6 +1042,149 @@ + + true + true + + + + + Almacén Origen: + + + + =Parameters!AlmOrigen.Value + + + + + + 2pt + 2pt + 2pt + 2pt + + + + true + true + + + + + Almacén Destino: + + + + =Parameters!AlmDestino.Value + + + + + + 2pt + 2pt + 2pt + 2pt + + + + true + true + + + + + =Parameters!DireccionOrigen.Value + + + + + + 2pt + 2pt + 2pt + 2pt + + + + true + true + + + + + =Parameters!DireccionDestino.Value + + + + + + 2pt + 2pt + 2pt + 2pt + + 12.81558cm - 21.12144cm + 21.12145cm - 0.63499cm + 0.5327cm true true @@ -1237,6 +1442,10 @@ SATClaveProdServ System.String + + Noidentificacion + System.String + DsOC @@ -1769,6 +1978,30 @@ true ReportParameter1 + + String + true + true + ReportParameter1 + + + String + true + true + ReportParameter1 + + + String + true + true + ReportParameter1 + + + String + true + true + ReportParameter1 + @@ -1843,6 +2076,241 @@ AA+WpAolTjKS9WmSCdYKQjh9qGHZkcrH/admJByUKXucEiCTljeamY+IBOwcBBXlRl0XjqWn3djjSyQ3 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 LGhzjnRtIggBu05bDCMIzGgaD5rq6uyIhCNzN/f9un/AFWzNf9v/AP/Z + + image/png + 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 +ABJT6AAAAAAAAAAAAAAAAAAAAACQmEIHAAAAAAAAAAAAAAAAAAAAgMQUOgAAAAAAAAAAAAAAAAAAAAAkptABAAAAAAAAAAAAAAAAAAAAIDGFDgAAAAAAAAAAAAAAAAAAAACJKXQAAAAAAAAAAAAAAAAAAAAASEyhAwAAAAAAAAAAAAAAAAAAAEBiCh0AAAAAAAAAAAAAAAAAAAAAElPoAAAAAAAAAAAAAAAAAAAAAJCYQgcAAAAAAAAAAAAAAAAAAACAxBQ6AAAAAAAAAAAAAAAAAAAAACSm0AEAAAAAAAAAAAAAAAAAAAAgMYUOAAAAAAAAAAAAAAAAAAAAAIkpdAAAAAAAAAAAAAAAAAAAAABITKEDAAAAAAAAAAAAAAAAAAAAQGIKHQAAAAAAAAAAAAAAAAAAAAASU+gAAAAAAAAAAAAAAAAAAAAAkJhCBwAAAAAAAAAAAAAAAAAAAIDEFDoAAAAAAAAAAAAAAAAAAAAAJKbQAQAAAAAAAAAAAAAAAAAAACAxhQ4AAAAAAAAAAAAAAAAAAAAAiSl0AAAAAAAAAAAAAAAAAAAAAEhMoQMAAAAAAAAAAAAAAAAAAABAYgodAAAAAAAAAAAAAAAAAAAAABJT6AAAAAAAAAAAAAAAAAAAAACQmEIHAAAAAAAAAAAAAAAAAAAAgMQUOgAAAAAAAAAAAAAAAAAAAAAkptABAAAAAAAAAAAAAAAAAAAAIDGFDgAAAAAAAAAAAAAAAAAAAACJKXQAAAAAAAAAAAAAAAAAAAAASEyhAwAAAAAAAAAAAAAAAAAAAEBiCh0AAAAAAAAAAAAAAAAAAAAAElPoAAAAAAAAAAAAAAAAAAAAAJCYQgcAAAAAAAAAAAAAAAAAAACAxBQ6AAAAAAAAAAAAAAAAAAAAACSm0AEAAAAAAAAAAAAAAAAAAAAgMYUOAAAAAAAAAAAAAAAAAAAAAIkpdAAAAAAAAAAAAAAAAAAAAABITKEDAAAAAAAAAAAA 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 +uy+kjGNeKXoAYHvX6fvh8VUSABTgv8Oa7kIMQEZz8fiZdSIJADL3LczD98UAvMRvIgAAGK1WBAAAWTkYxvcvovu6ibdjdpWCBwDYRq9FAACMwE4YR8P4Q183D4sevpc9TBazTlwAFKwVAQCFsHYDzMUBwDwcyJBCBwCA8XLwHwAgb3vVstzhZwUPU7dhAkDRWhEAACP2l6KHvm7i4zqMebUseeji0/4FAIVw/gKAEly7RADISV83+9Xy7AwA5G4qAuClXt3d3UkBAGBk+rrZDY/fJQEAULT4kkTc6I/lDlfiAIBy9HUTX3zckQQAUIBYUDmvhoKHalnyMBcLANbpALB2/xfWY2/FAGQ0D4+fWe8lAUAB/kMBNvBSv4kAAGCUWhEAABTvYBjv+rq5rZblDl21LHiw+Q8AmQq/1w8rL4kAAOXYG8bRg/lO3MfoqmXBw/envQwArNMBYOXcCgzkphUBAAW49h0IkIJCBwCAcXotAgCArRIPk54M40NfN5fV8kDO1K2XAJAd+zoAQOniPsbxMN7Ff9HXzbfq3yUPseChExMA1ukAkI51FpChYxEAUADFakASr+7u7qQAADAyfd3Mq+VtRwAAcB3GRaXcAQCy0NdNfInxQBIAAFUsrIxzo65aljzMRQKAdToAPMunsKZSUgTkNA9vw+OzJAAowH+GufiVGICXUugAADAyfd0chscXSQAA8BPKHQBgxPq62Q2P3yUBAPBT36qh3CE+HYAEwDodAB7tf8Ia6lwMQEZz8fiZ9UYSAGTuNszDd8UApPCbCAAARqcVAQAAvxBvEXsfR183yh0AYHzckAYA8Gt7YZwMIx7sv62WBQ/fh4IHAFagFQEAhZiKADAXB4C160QApKLQAQBgfFoRAADwCA/LHT5Vy0M8sdzhRjQAsDGtCAAAHm0njONhKHgAYBUULwJQgm8K/oGc9HWzXy3PtABA7hSrAckodAAAGJ9jEQAA8Iw5ZBznfd3ELxEuJotZ 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 +VATAKih0AADYsOHg15EkAAAYOcUOAPCD8PtwPzwOJAEAUDzlDgD5aEUAQAE6EQDm4QBgLg6UQ6EDAMDmtSIAACAjfyp2EAcAW64VAQDA1lHuADBSw63AO5IAoABuBQZy04oAgAJcThazGzEAq6DQAQBg816LAACADH0vdujrJhY7nIoDgC1lXwcAYLvdlzvE/ZGLMMwPAazTAeDFJotZJwUgM8ciAKAA5uHAyih0AADYvFYEAABkbC+MD33dXIVhbgvAtvG7DwCAKBZfnoTxsa+bm6Hc4VAsAGun0AGAEnwSAZATBZcAFGQqAmBVFDoAAGxQXzf71fIFOAAAyN1BGJ/DHLcb5rkAULShyGhHEgAA/OC+3OFLmDPOwzizVwKwlnX6brXcpwaA3HUiADLTigCAAtxOFrMrMQCrotABAGCztNICAFCaozC+Di8r7IoDgILZ1wEA4J/EYvd31XKvJJZgntovAViZVgQAFMKtwIC5OACYhwOFUegAALBZrQgAAChUfFkh3kJ5KgoACtWKAACAJ4glmB+q5X7JRRiHIgFISvEiACX4NlnM5mIActHXzX54HEgCgAJ0IgBWSaEDAMBmtSIAAKBgO2F8GG6g9JICAMVwOA0AgBeI+yUnYXwJ88pY7vA2jF2xALxYKwIACuBWYMA8HAA2oxMBsEoKHQAANqSvm7ZaHtgCAIDSxRso40sKZ15QAKAQbv0EACCFvTDeh/F7XzcXw/eHADzRUCi8JwkACtCJAMiM78wAKMH1ZDGbiwFYJYUOAACbYxMTAIBt8y6MKy8nAFAAv8sAAEjtJIzPfd3Mw3irFBPAOh2ArdSJADAXBwDzcKA8Ch0AADanFQEAAFso3pIWX06YejEBgIwdiwAAgBWJeyfvw/i9r5sLxZgAj+KzEoASXE4WsxsxALno6+YwPHYkAUABpiIAVk2hAwDABgwvrh1IAgCALRZfhI03Tr4WBQA58bsLAIA1OqmWxZhxD+VUOSbA 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 +gFMx0AEAWCKH/wEAgGyKBEBmhxs/10oAAABMYjv+94sMvEKRAIAE7uuhe5ABiMLnZgAkcisBsBQGOgAAS1QkAAAA7HMAQjGgEwAAYFqf+6qxF8N+HYAlaCUArMMBwFoc4JQMdAAAFuUwlXarBAAAkMxq3O/sZAASKxIAAABM7uvhM3b4m8P7kSslAEiglQAIpkgAQAL39dA9yQAshYEOAMDSFAkAAAD7HYBwriQAAACY3MuX9b/KwA+4FRiAFOqhu1UBCMbnZgBkYB0OLIqBDgDA0hQJAACApHYSABn1VeMLIgAAAOezH/dlNzLwHUUCABL4VQIgknF/Zh0OQBYGOgCLYqADALA0vgAAAABkVSQA/H0DAADgBP7dV41hovxu/PdwOT72SgCQQCsBEIxz0ABk8FwP3Z0MwJIY6AAALMbhgMlKCQAAIKn14SA1QDYOpgEAAJzfVwn4H0UCAJJoJQCsxQHAOhzg1Ax0AACWpEgAAADY9wDE0VfNZnyslQAAADi77bhH+yIDB4YvApDBo1uBgUgOn5ttlQAggVsJgKUx0AEAWBIHCgAAgOx2EgDJeD8HAABgPv6vrxrvP/GiSABAAq0EgHU4AFiLA0zBQAcAYBH6qrkcH3slAACA5IoEgL9rAAAAnNDt4fN3Fuow1GOtBAAZ1jUSAMEUCQBI4L4eugcZgKUx0AEAWIoiAQAAsABuSATSOHxB6EoJAACAWXn5Iv8XGRatSABAEq0EQDCfJADAOhwgJgMdAIClKBIAAAALsOqrZiMDkESRAAAAYJb+1VeNPZv9OgBE9q0euicZgCjGPdjL5Q4rJQBIoJUAWCIDHQCApTCVFgAAWIqdBEAS3s8BAACYr68SLNaVBAAk0EoABONzMwBSqIfuVgVgiQx0AADSO9xOu1YCAABYCAMdgCyKBAAAALO17qvmiwzLMr7mvkQGQBa+RAZEUyQAIIFfJQCWykAHAGAJHCgAAACWpEgARNdXzctwGgM6 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 +YGV+TnFVZGBjrMQAwJdchhqFcecktR17utsfZPOGAJ86viuxCcVPscI+XcfjFWqyc3D/kOpJ2TQVGcdqmovH4zjMNKcCwHU7AAAAAHzJRAQA6Xr3/PwsBQDYYnVejLPuPwgJAADwFj2G6qe2OjKwOXVexBWvrXANwGfn2byRw1VqO/Z0tx8nQ8YGAMeJXy/EB/NGOwf3V9ty0obxzDCbN3Y49hYGoKvC+OvdFz7j+mHzm3QAAAAAaOG2N5v2xQCQLg0dAGDL1XkRJxZZDQkAAGD5/tqbTcdiAJbBxBAAGrEJwCibN3JIqnHY093+XjZf1fos1OGWHdfb5riOdw7ut6IhXDO2GTZ16K0NQMf86Y9jsaZp0a+iAQAAAKCF895sOhQDQLreiwAAtledF4NMMwcAAIBVuNbMAViyUgQAWy1O+I8Nw/ZCnaXUzOHpbr8fKjYzuMnmkyC3cXJ/3Oe/hfpnyGIcKvnP/XAO3zTncj/89S+hLrzNAeiQwRf+t49iAQAAAKCliQgA0vZBBACw1TxQAAAAsBqnIgCWzPc4ANvpMlSc9F6ltmNN04JhqE8O83+IeXwK+cQmHuNYOwf3NynvcDi/40OKkzov+s2YJ15PHToVAOiYUgQAAAAAtFSJACBt756fn6UAAFuqzot40XcsCQAAgKU6782mQzEAy1TnRVyJfVcSAFvhMZuvwhMbOdyktnNPd/txrBzL/YmXu8jmjR22ZnWmMPYpMw0/AHi7fvx9w63mc+sfYgEAAACghcvebFqKASBtH0QAANupzou9zMOSAAAAyxYn352KAVimZmKIZg4A6bsNNQ416s2mDynt2NPdfrwnMWzGyocO9cJOYoUc4zkSmzqMdg7ub1Le4WaSbBXGQafNuRPryKkAwBtVigAAAACAlioRAKRPQwcA2F6lCAAAAJbuNLXJd8Cb8FEEAEm7zuZNHMap7djT3X4/bM6azzLNiV4vNsP4KVbI9jJsxzsH9+OUd7i5 +vhrFqvNikM2bgjifAHDdDgAAAEAqJiIASN+75+dnKQDAFqrzIj789pMkAAAAluayN5uWYgCWrc6Lq8yK1AApusjmjRyq1Hbs6W4/jovjxPsTh3nlHrP5g36jnYP7qy0ZG+1l84mzw1DHTgEANuDHz2O45nPpnyIBAAAAoIXH3my6JwaA9H0QAQBsLStEAAAALNepCIBlq/Oin2nmAJCSOPl+nM0bOdyktnNPd/vDZlzss2t9dkN9ihXyv47nVqjJzsH9Q6o7HN47D837aNyMleI5N2yyAIB1GISqmj979gIAAACAtiYiANgOGjoAwBZqHm47lAQAAMDS/NybTa/EAKxAKQKAJNxm84n242YyejKe7vbjqkGfJ9S797BZsZHGr/FcC8clPgA43jm4r1Le4aYxSjz/Tuu8iOdgnFR74lQAYMX2XLcDAAAAsASVCAC2g4YOALCdrBABAACwPNe92fRMDMCK+B4HoNsus3kTh3FqO/Z0t98PmzgO/uQwvzm7zXH5FI7Tv5uJ7BzcP6S80837bNw0Nh9mmowAsB6lCAAAAABoqRIBwHZ4LwIA2EqlCAAAAJbmVATACpUiAOik81B/7s2mZWrNHJ7u9stQVfjjb5lmDl0QGxr8LdQ/w3Ebh0q+WVR4z93Epnuh+uGvfwl14TQAYBXqvBhkmgcBAAAA0E5cROhGDADb4YMIAGArlSIAAABYil96s2klBmAV6ryIEy53JQHQGY+hRqHGqT189XS3vxc28XPpLDNpsctiA45P4XjexvM01s7B/U3KOxzei5OwmYRxVTyHh9m8IZ9zGIBlKUUAAAAAQEuVCAC2x3sRAMB2qfOizEwEAAAAWIY4CepMDMAKlSIA6My48K+h+r3Z9CylZg5Pd/v9UHHMG/fp18xE+FTE4/i/oX4Lx3cS6mPqOxzelw+hRqH64a8/hjp3GgCwBB9FAAAAAEBLExEAbI8PIgCAreOBAgAAgOUYxklBYgBWyPc4AG/b 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 +CAAAgAY5S1Z3fb4RBdAwSjmBunsf5mijMne4nHYHicXQ8C17YZyIobJORQAAAAAAAK1QiACA71HoAAA1NUuzeNell5IAAAAa4l1vPjlW5gA0VC4CoMY+hDlaqYvGl9PuYdj8LHr4rpPwfNkXQ7XM0myY+A4PAAAAAADaohABAN+j0AEA6sudHQEAgCa4DePH3nwyFAXQRLM0y5PVHbQB6ugyjF2UORSih3vZK/s5ynfnfvEa9lYSAAAAAADQGmMRAPA9Ch0AoL5yEQAAADV3Hd/b9OaTkSiABlPKCdTV7XqudlPWDpfT7n7YxLmhIhy4v5P1c4dq8P4WAAAAAADa47LM71MBqC+FDgBQX7kIAACAGjsP47A3n1yIAmi4XARADZVe5rAW717zUvzwILEAZSiGL1tOu6XNxWZpNnQNAwAAAACAVhmLAID7UOgAADU0S7PDsHkhCQAAoKbe9+aTXDs50HSzNDtILOoD6umk7OKt5bQ7Cpsj0cOjvAnPoQMx/Hk92Q9jGEZ8z7lf0rwvfnf3VvoAAAAAANAqhQgAuA+FDgBQT7kIAACAGop3ev5Pbz45EQXQErkIgBr6b5ivjcrc4XLajfPD16KHJxm2PYBYarEuh7lKVuUKRae/KOvOWKf+BAEAAAAAoFVue/NJIQYA7kOhAwDU07EIAACAmrkM47A3n4xFAbSIz3CAuvkQ5mulLkpeTrvxWvmT6OHJXsdCgzYeeDjuw3WRw2/JqhxmL1kVCg7K2P8szWIpzZE/QQAAAAAAaJVCBADc13MRAEAt+VEYAABQJ+9788mJGIAWykUA1MhlmLMNytxhXIQdNiPRw8YMk5JKDKogXEPy9TF/6XuzQae/uNn2Y5il2cH6MQAAAAAAAO3ixkYA3NszEQBAvczSzJ0dAQCAuoh3RP2PMgegjdaf4exJAqiJy6TkEprltLufrH7k5FoJm/N6XZTSaOEYB2FchX/+kny5zOGs01+U9SPKkesYAAAA 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 +DYUIANgUhQ4AUD25CAAAoPXiAr54J+Rhbz65EgdAJR2LANiA8zDi4uU/yxvC/K+owgNbTruDsHntFAFlXQ87/cWopH3F/eyJHAAAAAAA+IaxCADYFIUOAFA9uQgAAKC1rpPVwpLT3nxyIw6ASlPoADxkjneVrO7g8md5Q5WLu5bTbrzG/ezUASWJpYaDMnY0S7N4fTsSOQAAAAAA8A2Xfr8HwCYpdACA6rEYAAAA2ifemXnUm09GogCovlmaHSbu6gz8XVyM/EdRQ/KX8oYwv7uo24Esp914jTMvBco07PQXVyXM4fZd3wAAAAAAgHsYiwCATVLoAAAVMkuzg7B5IQkAAGiND2Gc1nGhH0DLKeSE9opFXPFOLH+WN4S5XNGUg1tOu3Gxc/xxktIaoLTraqe/OC1pXyPXNwAAAAAA4B4UOgCwUQodAKBaLAYAAIDmu05Wi0hikcONOABqyWc40C63YRyGudtVkw9yXeZQJEqHgXKvr4MydjRLszh/eyVyAAAAAADgO27doAmATVPoAADVkosAAAAa6yyMUW8+0d4NUGOzNIsLnl9KAlpl0PQyh7VT1zegZMNOf7H16+t6/jYSNwAAAAAAcA+FCADYNIUOAFAtuQgAAKBRrpPVopFRSxYBArTBsQigVc7aUMi1nHaHYfPa6QZKdNnpL05L2ld8X74ncgAAAAAA4B7csAmAjVPoAAAVMUuzPPFjMgAAaIoPYYzbsPgPoIVyEUBr3IYxaPpBLqfdeIxvnW6gZKVcX9ffv70SNwAAAAAAcE+FCADYNIUOAFAduQgAAKDWLpPVXT9HvfnkRhwAjXUsAmiNQdPndctp9zBsTp1qoGTvOv3FxbZ3Mkuz/fX7dAAAAAAAgPu47M0nV2IAYNMUOgBAdVgMAAAA9XMdxjiMU1/kADTfLM3iwuc9SUArnIX53bjJB7icdg+S1d1lXNeAMl12+othSfuK+3khcgAAAAAA4J4KEQCwDQodAKAC1ncI 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 ++CoCAHheCh0A2DSFCAAAsnC1mTH1lubltN0P7kgNAKy59lHkAAAAwCv4W3defvvN7ynEBEAGLtd4zwPYGLPOIN4sZE8SAGRgIgIAeF4KHQDYNJppAQDS9qUaR6lfWLOctotQ3+Hsk0MKANxDkQMAAACv6bQ7L0dr/L5CVABkYCICIDGugQYgF8ciAIDnpdABgI0x6wz61cOuJAAAknNZjXGoixzOUp7IctoehrrIwR0TAID7XJVYtXqL5O8Op8gBAAAgKYdrfM7rB99xA5AHm8iA1BQiACAD56lfBwoAm0ihAwCbpBABAEBSzsNNkcNFqpNYTts71cMw1BfCKhgDAO4TixxGrd7iLPWJzDqDuP4ZWf8AAAAk4+/deTlZ4/cVogIgExMRAImxFgfAOhwAuJNCBwA2yYEIAACSEIscRt15OU55Estpux/qEodhNT44rADAPRQ5AAAA8JbOm89y63DtBQA5OHVXYCAls85gP/jZCwB5OBYBADw/hQ4AbJJCBAAAG+0k1EUOk5QnsZy24w/RY5HDZ4cUAPgNRQ4AAABsgmF3Xl6s+XsLcQGQgYkIgMRYhwNgLQ4A/JJCBwA2wqwzKIK7IgMAbKq4kfGoOy+/pTyJ5bQd70oWixw+OqQAwD0u49onjlZvcZHyRGadwU6o78w6CoocAAAAUvX3dYuWm7sCu/YCgBxMRAAk5kAEAGTg5AGlogDAAyh0AGBTFCIAANgocSPjONRFDmcpT2Q5bQ+DTYwAwHrrn5yKHA6bYSMPAABAus5D/f32umwiAyAL3Xl5LAUgMW4uAkAOJiIAgJeh0AGATeGiAgCAzRAvDh2Husgh2Y2My2nbJkYAYF2KHAAAANhUhw/8rt61FwDk4KsIgJTMOgPrcAByoVgNAF6IQgcA3lxzofmeJAAA3tTVXb6683Kc8iSW03Y/1Hcr++yQAgC/ocgBAACATfb1IXcnd+0FABmZiABITCECADJw2Z2X38QAAC9DoQMA 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 +wZb9Yeo7fXSIAQAA4EHV5tXC4328SWQAlKJWAiC3ewUlAEA/HADYN4EOALyVQQUA0H4XsU1zTd9dL3pnYbO6dOp3mHAL7EIKuKnDY4DDDyU5rmV/mM71KTBwHq9XBwvUaEIdUlDQvx2Fzik2yOEnntkAAADAxm+HfOb0SpXDBEAB7jO45gL8TkA6AAW5VAIAaDeBDgC8VaUEANBK92HzgHY8WM3mOX6AZtX0NMn2i8MJvEGatF3HlgaP1WkCv5Ic37I//NTcT6aW/v6wvX6l/9shr11pQn+85qQ/hTp055xQepDDVuVwAwAAQLgYrGY5PAcQzAhACUwiA3KjHw5AKWolAIB2E+gAwKs1ybSfVQIAWiUFOUxSG6xmWa44v170RnEz0s8AXukqPA1w+KEkrbh3rMImuKH6xfn9XWwHP2ZNqEPat2+OWNHnhmlHghy2DEADAACg664Gq9mo7Tu57A/PwmPgKQDkrFYCIDOVEgBQgNtcF34DgC4R6ADAW1RKAACt8bDadCarTP2H9aKXJvuOYjsPBi0CLzv3PQQ3hE14w7WSHN+yP9wGN2y3Lzmvfz9WIFH8/ozi9Sj9KdShLCnIYRyPb93B3+E7hx8AAIAOS88Ocwk7rBwuAApxqQRAZgSkA6AfDgAchEAHAN6iUgIAOLo0SXEyWM2yfCC7XvTOwmOQg0mHwHPOedsAh+uT07u5khzXsj9MgTzb4Iaq+fst5/NjX8/Om8/w0dEt4nzRuSCHn4x8BQAAAOiw+9i+His49BVMIgOgBDcZXXsBBKQDUJJaCQCg/QQ6APAWBhUAwPFcxDYdrGZ1jju/XvTSS9E0adYq6MBfSSvo/RzeUCvJ8S37w7PwNLxh18EHRw10iN+zH/EaVTXfvQ+OeJa6HuSwVfkqAAAA0GGjwWp27T4eAA6qVgIgM/rhABQh1wXhAKBrBDoA8CrNJB6TWwDgsNKKUunB63iwms1z/ADNJNlxbJ8dTuAPbkIT3pC2 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 +22SwmmX3IHC96KVr2Ci2bw4je5QGq27DG1JLAQ4/lOX4lv3h+/A0vOGzqsBBjZUA9nqdS9c3YWUAAAAc21eTOp9fKyUAoAC1EgCZqZQAAH1xAKDtBDoAkFRKANBJF7FNc1xZe73ojcImyMHkbfbhNjTBDWl7cnpnoGpLNBNbt+ENaWuFBTie7zn2ISAzJoEAAABwbL95BvQ8zarAH1QCgAK49gO58U4NgBLcDFazuTIAQLkEOgB03LI/rILVHgG65D62y9jGuT34Wy9678PmBdw4GBDHbl2FpwEOP5SkVX3VbbNKObTLuRLA3hl8BgAAwDGlMIepMriPB6BzLpUAyEylBAAUoFYCACibQAcAKiUA6IQU5DBJbbCaZTVZfb3oncXNKGwmjprMzVvdhqfhDddK0g7N6mWpb/qp2X5UFWitC4nwsPfr4nvXQgAAAI5ImMPLVUoAQAFuchtTAnTbsj+0OAgApaiVAADKJtABAKtEAJQtTV4f5zjorglyGMf2zWHkDa5CE96Qtiend3MlaYdlf1iFx/CG1Lxgh3yMlQD2zvMaAAAAjkWYw+t8UQIACnCpBEBmvFMDoAiD1UxfHAAKJ9ABoMOs9ghQtDSJfZLjA771oleFzUTRzw4jL5QCTH4Ob6iVpDX9zrPwGN7wye8bsnYR+xdzZYC9q5QAAACAIxDm8ApNgDEAlKBWAiAzAh0AKMF3JQCA8gl0AOg2DzIBynMR23SwmtW57fh60RuFTZDDB4eRZ7oJmwElqaUAh7mStMOyP/w5vKHyu4Zi3Md2rgxwEJ7ZAAAAcGjCHNzHA9Bt9zmONQG6y6J2ABREPxwAOkCgA0C3VUoAUIQ0ufIytnFuK2avF730Yi1NDB0FE7759fe8ju06bU9O72olaYfmBXnqV27DGz6rChRrEvsaP5QB9n5tTdfUdyoBAADAAQlzeJtKCQAoQK0EgH44AOiLAwD7IdABoNsqJQDIWprgPgkZTq5cL3pncTMO 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 +d0oaqcDhSCoAsNM5XsypqAv46dz6NChEAwAAGKp56Es1favi63f5Y+/yABSiEQGQmSgCAArwZL0RAHguhQ4AGVpuKjiXBByEtLnsqhs3Od7a/Nvvf6Vfs1uOhvP3x2lYFzekpw1qALBfFz7qQVGiCAAAAAYp3Vh9keO3NrzLA8Az3YgAyMxHEQBgHg4AHBKFDgB5iiKA4t11YzJaTCei4LXaqk5/X6zKG9I4kgoADMb/dnM9H/WgLDaeAQAADM8fo8X0Sgx4lwegYPNuvjMTA5CL5aVEJ5IAoACNCACA51LoAJAnmwqgXOmGoPFoMW1EwUssP3StyhvS81wqADBYfyjugiJFEQAAAAzGUzc++uaGd3kADoD5DmAeDgD74TIfAODZFDoA5CmKAIpz3Y0rjfk8V1vVX5c3pKfWcgDIZN7nVkgocn6e5uRHkgAAABiEu9CXOTyKgp+8y6dvbL6vAVACh8iA3LjUDoASPFh/BABeQqEDQGaWN7DbVABlSDcDjdOwoMMvfvYfh3+WN5xLBQCylMocLsQARbLxDAAAYBj+UKbJM0URAFCIRgSAuTgAmIcDAMOm0AEgPw4IQP7m3bjqxo0iB75neSPQqrwhPc+kAgDZe+jGpRigWFEEAAAAe5W+v12MFtNGFHiXB+CA3Nl7BOSkreo0Dz+SBAAFuBEBAPASCh0A8hNFANlKh/jGo8V0IgpW2qo+Duvyhrj8Zx+tAKC8eWC0oQ6KndOfBiVsAAAA+3Qb+jIHay+8xAcRAFCARgRAZqIIACjAk2JZAOClFDoA5MemAsjPXTeuLNyQLA97xbAucXDwCwDKpswByhdFAAAAsDf/HS2mYzHwEm1Vf5QCAIVwKzCQG3NxAErQiAAAeCmFDgAZaas6SgGych36IoeZKA7+Z3caqwKHI6kAwMF4Csoc4BDYeAYAALB78/Q+NlpM70XBK0QRAFCAJ3MhICdtVR8Hlx8BUIZGBADASyl0AMiLAwIwfOnQ 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 +TA6cQ2QAFDGv6+Z0j2IAcuG7GgAFaUQAAGyTQgeA/bOpgH0Y5O08y8X9GNYFDid+qwAAWM1hu/nrhRiAHbBWAwAA5OIp9EUOE1GAyzQAKEIjAsA8HAB2b7SY3kgBANgmhQ4A+xdFwI6kDV3jNIbQ5N5W9XFYFzfE5T9ragYA4HvzWAcTgF1S6AAAAOTgz9AXuLvBmYPXVnUMvjUDUAaHyIDc+K4GQAnuRAAAbJtCB4A9aqv6tHucSIItm3fjqhs3+9zQtfzzHsO6vOHMbw0AAL/w0I2Lbh57LwpgR++ux95XAQCAgUubi9N6yUwU8LcoAgAK8NTN8RoxALlYflc7lwQABVCsBgBsnUIHgP3STMs2pc1ck33dZLy8BSWN98unG1EAAHiJ625cumUS2DFrNQAAwFClEvcLh/zA+zwAxTLPA3ITRQCAuTgAwPModADYrygCtuC2G+NdbuZqq/o0rIsb0nCbKQAAr/UU+iKHiSiAPYgiAAAABiatlVyNFtOxKODflrcC+z4NQAkaEQCZUawGQAnmo8X0XgwAwLYpdADYrw8iYIPSDcZpM9ds2/9BbVXHsC5wSM8T8QMAsAEPob9p0kcyYF9sPAMAAIbkj9AXuT+KArzLA1C8GxEAmYkiAKAAjQgAgF1Q6ACwJ8sD8fBW6UaedBvP1jZyLW80SX9eVwUO52IHAGALUkHZpQMKwL5077/pvfdIEgAAwADchn6dZCYK+KUoAgAKMDf3A3LSVvVpcBEYAGVoRAAA7IJCB4D9cUsEbzHvxlU3bjZ94G15gCWGdYGDRXcAALYplZRddPNatw4B+2atBgAA2Le7blyNFtNGFPBsUQQAFMB3MiA3vqsBYC4OAPACCh0A9ieKgFdIm7gmo8V0son/ZW1VH4d1cUMa5yIGAGDH89sLNw4BA2HjGQAAsC9fytw39Q0QDsXysgIXFABQgkYEQGaiCAAowMOmL9cEAPgRhQ4Ae7A8RH8mCV7gthvjt97G 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 +h6Wt6uPucS4JAArQiADITBQBAAV4ss8RAMiZQgeA54kiAAAgcw+h31z0ZYwW00eRAJCpKAIAgEGbh3+WNzQiAcD7PAAF8Y4DmIsDwO7diAAAyJlCB4BfaKv6tHucSQIAgMykwxNNWBc4zEQCQCE+iAAAYDCewlflDUGJJAA/9lEEABRg7lZgICf2QANQkEYEAEDOFDoA/FoUAQAAGVDgAEDx2qp2+AMAYH++LW+4t/4AwAtEEQBQgEYEgHk4AJiLAwC8lEIHgF+LIgAAYIAUOABwiKIIAAB2QnkDABuzvBX4RBIAFOBGBEBmlKUDUIIH3ygAgNwpdAD4NYuZAAAMwUNYH6RQ4ADAobJOAwCweak0chaUNwDgfR4AfqURAZCZKAIAzMMBAPZPoQPAT7RV/b57HEkCAIA9uAvrgxSpwOFRJAAcMrd5AgBsRFpvmIVlcUPoyxusOQCwbVEEABTgwfsTkJO2qtM83B5oAEpwIwIAIHcKHQB+zi0RAADsQroJ80txQ+gPUjQiAYB/sU4DAPB8aa1hFtZlkbPRYnovFgD25IMIACiAQ2RAbqIIACiB/ZQAQAkUOgD8XBQBAABbkG7DbML6JsyZSADgl6IIAAD+5Sks1xfCurihEQsAQ7G8FRgASqDQAciNsnQASnArAgCgBAodAH6grerj7nEuCQAA3iiVN/x9sMJtmADwam7zBAAO2bwbs9AXRM6WI60zPIoGgIFziAyAEjz5zgvkZLkH+kwSABSgEQEAUAKFDgA/FkUAAMALKW8AgC1oq9rhDwDgUKS1hVTSsFpfeBwtpo1YAMhYFAEABfBeBuTGtzUASnEjAgCgBAodAH7MYiYAAD/yFPpDFU1Y34ipvAEAtieKAAAoyEPoSxuasC5vmI0W05loAChJW9Wnwa3AAJTBITIgN1EEABRg7tsJAFAKhQ4APxZFAABA6A9ZfDlYEfqDFqm84VEsALBTijcBgNwobQAA+y4AKEcjAsBcHADM +wwEAXkuhA8B3LG+JOJEEAMBBSQctZqE/YLE6ZHEvFgDYL+s0AMBAzUO/jvDtUAQJAGtRBAAU4EE5H5CTtqrfB9/WACjDjQgAgFIodAD4Prc+AgCU6y58dcgiKG4AgKGzTgMA7EMqfkzFDLNvh4M8AOCdHoCD0ogAyEwUAQDm4gAAw6LQAeD7oggAALK2OnTRLJ+psMENmQCQJ4c/AIBNm4e+nGG1ZpA0y6f1AwDYgOWtwEeSAKAAjQiAzPi2BkAJ7nyvAQBKotAB4PuiCAAABu0p9AcuVgcvZsEtmQBQnLaqj7vHuSQAgGdaFTUkq3WDv0sbRotpIyIA2BmHyAAoQvcueSMFIDO+rQFQgkYEAEBJFDoAfKOt6hjcEgEAsG/f3pT593O0mN6LBwAORhQBABy8r0saZuHfhQ2KGgDAOz0AbMutCICctFWtWA2AUihWAwCKotAB4N8sZgIAbNdD+OaGzLBuU56NFtOZiACAJes0AFCWr8sZvl4PSP4uaAjWBwAga21VHwe3AgNQhkYEQGaiCAAowJOLvwCA0ih0APi+u6/+2SYDAICfewrrYoakWT6/LmxwEAMAeI0oAgAYlFVJY/jOu/+36wJf/vs23AGA93kAyJhbgYHcKEsHwDwcAGCAFDoAfGO0mF5K4Z/aqn7fPY4l8Q9RBPLZsPTv2ZEYgD26++a//vZAxrf/tYIGAGCrlusRJ5IAgGf7tmzhW/c/+O9/r5Thy///7t3/UawAwCs4RAZACea+iQM5aav6NPi2BkAZGhEAAKVR6ADAL7k967saEcCwtVWdimjeSyIbUQRv9qPDF9/+ve7vMAAgC8v1iP/xTgDAgf996D0eAMjVnQgAyJx3ciA3p+bhAJiLAwAM0//83//9nxQAAAAAAAAAAAAAAAAAAAAANuj/iQAAAAAAAAAAAAAAAAAAAABgsxQ6AAAAAAAAAAAAAAAAAAAAAGyYQgcAAAAAAAAAAAAAAAAAAACADVPoAAAA 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 +6AAAAAAAAAAAAAAAAAAAAACQmEIHAAAAAAAAAAAAAAAAAAAAgMQUOgAAAAAAAAAAAAAAAAAAAAAkptABAAAAAAAAAAAAAAAAAAAAIDGFDgAAAAAAAAAAAAAAAAAAAACJKXQAAAAAAAAAAAAAAAAAAAAASEyhAwAAAAAAAAAAAAAAAAAAAEBiCh0AAAAAAAAAAAAAAAAAAAAAElPoAAAAAAAAAAAAAAAAAAAAAJCYQgcAAAAAAAAAAAAAAAAAAACAxBQ6AAAAAAAAAAAAAAAAAAAAACSm0AEAAAAAAAAAAAAAAAAAAAAgMYUOAAAAAAAAAAAAAAAAAAAAAIkpdAAAAAAAAAAAAAAAAAAAAABITKEDAAAAAAAAAAAAAAAAAAAAQGIKHQAAAAAAAAAAAAAAAAAAAAASU+gAAAAAAAAAAAAAAAAAAAAAkJhCBwAAAAAAAAAAAAAAAAAAAIDEFDoAAAAAAAAAAAAAAAAAAAAAJKbQAQAAAAAAAAAAAAAAAAAAACAxhQ4AAAAAAAAAAAAAAAAAAAAAiSl0AAAAAAAAAAAAAAAAAAAAAEhMoQMAAAAAAAAAAAAAAAAAAABAYgodAAAAAAAAAAAAAAAAAAAAABJT6AAAAAAAAAAAAAAAAAAAAACQmEIHAAAAAAAAAAAAAAAAAAAAgMQUOgAAAAAAAAAAAAAAAAAAAAAkptABAAAAAAAAAAAAAAAAAAAAIDGFDgAAAAAAAAAAAAAAAAAAAACJKXQAAAAAAAAAAAAAAAAAAAAASEyhAwAAAAAAAAAAAAAAAAAAAEBiCh0AAAAAAAAAAAAAAAAAAAAAElPoAAAAAAAAAAAAAAAAAAAAAJCYQgcAAAAAAAAAAAAAAAAAAACAxBQ6AAAAAAAAAAAAAAAAAAAAACSm0AEAAAAAAAAAAAAAAAAAAAAgMYUOAAAAAAAAAAAAAAAAAAAAAIkpdAAAAAAAAAAAAAAAAAAAAABITKEDAAAAAAAAAAAAAAAA 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 +7L79A4VhmtYYASgFhQ4AABUmLvQXG81PV/xQPPwUFyUGD/2+UPagfRIoV0vaW4QAZ3i8Xzx/hmkNAAAAAEBFKu55jjyAHQ0/hF3c7zw48Ltw9PgHggMAKDPxYtKzDS+CPOu9baFCByCJODirvu7aMOvGBuUNMEJxsObIctn+vQOh/7Xfhv7+gcL6opIHAMaaQgcAgJw5efhpnvZJoPz1ru4QApzB2nXdCh0AAAAAgNw50yHsWGzfv/e3Yd++gbDzlQNKHgAAysDSha1CgDOIz2nqayeHg4PvCAMYlVjgMPNjfxFaWxrD7I83h6bpdUKBUYr3m5H3nb5t/YVrKXbs2h9e/9+HDcwEICmFDgAAFJytfbLvN/sKJQ8H/vltmwfAuJnZUFcooAFOL94/4v1EARMAAAAAwJ+K7YdPgI4lDzu2vxZ29O0Pr7z6hkPYAADjrPvWNiHAWdzWc3N4eMOTggDOSoEDjI/itRSr1iwqvG1tEYCUFDoAAHBWI9snh4aOhb5t+8KOHf1h555/VvAAjJnOZXOFAOdw913Lw/r7NwoCAAAAAOA0YsFD14q2wi2Ke51bfrHTIWwAgHHQ1tJgkAecQ3yu8v3Hfu65CfARNZOqwyfnTg8LFrR8ZFgfMD5Gri0WCx62/Gp32P3ab8PR4x8ICYDzptABAIBRqa6+rDDVpjjZZnjBw4vb99pYAJKIjdLFBVDgzOJmXdy88/gLAAAAAHBuca9z5CHsLc/vDDt27Q9bdx0QEABAQl3LbxICnIeVn/pk2PDIM4IAQn3t5NC5eE5oXzRLKRKUoZEFD33b+sMLL+xyDQUA50WhAwAAF2V4wcO9waEnII0l7S1CgPN05+pbwsMbnhQEAAAAAMAoxUPYq9YsKtxikf2WX+wMO/r2h6079pmwBwBwEeJgguLAIODsOle0hR/86HnPQSDHj5mx2EWJA2RPHMgVb/Eaiv69A6HvN/vCEz95UbkDAKel0AEAgKROd+hpy692 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 +QK60tTQY5AEJ3Ln6FiFAhsTzzV/7yupw730rC0PtAEaraXpdoRCmvnayMAAqmEIHAADKWlzcjM2Tj3zvSy5QhQoWNzXiAUfg4ilHAQAAAAAorbjH+eBDt4cND69VXA8A5EbX8puEACnuSyvaPI+AjIgXX8fzze0dLcIALkpcT/z2d/6DUgeACqbQAQCATIjt7d/Z+IWw/o5lNiugAi1pt6EBqcSN/ZpJ1YIAAAAAACix2fOawo8ff0BxPQBQ8eIetYtZIZ2eToNxoNzFi67jxdfxfDNACkodACqbQgcAADJl1ZpFYcPff95CBVSY3tUdQoCE7lx9ixAAAAAAAMpAPIgdi+t7lswVBgBQsZYubBUCJNS7ZpEQoIwVyxzic36AlIqlDoZ6AVQehQ4AAGRO0/S6wkLF4vkzhAEVIE6l0lINabV3zApVEycIAgAAAACgTNx738pw//pPCwIAqEjdt7YJARKKF3M6HwnlSZkDMB6/B3z9q3cJAqDCKHQAACCT4kLFgw/dbtMCKkDnMhOpYCweJ3s6HZgBAAAAACgnXSvalDoAABWnraXBIA8YA2vXdQsBykzNpGplDsC4iAMwb+9ZIAiACqLQAQCATFPqANlWNXFC4fAikJ4JKAAAAAAA5UepAwBQcb/fLL9JCDAGYlFKLEwBysfXv3qXMgdg3Ky9pyvU104WBECFUOgAAEDmKXWA7FrS3iIEGCNxY9/jIwAAAABA+YmlDuvvWCYIACDz4qTy9g5nP2Cs9N62UAhQJm7vWRCaptcJAhhXX1y/QggAFeJSEQAAUAliqUN44NHw3Et7hAEZ0ru6Qwgwhtau6/bYCAAAAABQhlatWRT27R+whgsAZNrSha1CgDE0e15TYTL3wcF3hAElFO+Ha+/pEgRnNTR0LOx/9c3C64OD7564HTmvz7ui+rLQ1Dy18HrjDVND9Ym3YfjvAjMb6sLuAwPCAMg4hQ4AAFSMe7+8Mhz492/bvICMiAuMU66/ 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 +NjfBKKutqbZQm6i2zV1D2pwcm5hJxy3LrskWIQEAAAAAOHfKHACA0RYHeZgmnq7ntu8d0j+vbfNOXy+JWPjB4/jjh7eYqg5DbOOT28POPS+Hu//iT0LV9AqBUAiTp0zIbnUNs47+Ws/evtD5Qnfo7u0Lu178leFRAHAMhQ4AAJS82ODZtmVneOSnz7mwAyWiZWm9EBK1tW3XkP55cQE4lvEc28xMfsUNGvdveNr7MQAAAADAOYiTjb/x9f9hYiEAMOqurZslhETFQR5Dvabf0dmr0CERcYBPfP7Hw+fA0DrQ/0ZY9fUfhC/fWB9uXG5/JcUUC02OLTWJ18J6X3w17NjRE3bu2h8O9P1aqRAAhaXQAQCAkhQP/27d2pU11saLnEDpmFo+UYt0ouLF8+GYCBZfzxU6pOPzV9eE9Ru3CgIAAAAA4CzEg3Vr7n3EpnUAoCS0LGsQQqKGepBHFCdsk9bzX6EDDI/4PX/rA0+Etuf2hL+6Z3mYPGWCUCi0WCQU944eu3+0Z29f6Nn3SlYYFT9jGC4FQFEodAAAoCTEAofYvtn7Ul9o79ovEChhS5rnCyFRbZt3DsufG8t5SEfL8vqw8fF2m44BAAAAAM7AwdfeDt9a/WDYvb9PGABASZhZWeGAaaKGa5BHPGgZD18aAJOG+PxfMG/GsHytAL8TrwF86aY14ebmq7K9VvFQO/A78fNEvDUuqj36+aVzW3fo7u4LO3ftdw0NgGQpdAAAYMQNNmv29PSF3pf6XXiBHBk3dkyoa5gtiET948Znh+XPPdD/RnbR3cJUGuLjWFtTbWEfAAAAAOA04proQ/+wxbVUAKDkLLzuciEkargGeUSdL3QrdEhIy9J636vACFi/cWv452c6wi3Lrjl6eB04XtyPWNcwK7sd/dxxzKDI3fteMXwKgCQodAAAYNjEaTMH+97MLqgcfP2t8Pqhw8obIOfiIW6H8tN9zY7FC8MlbhqwKJWOFSubLOwDAAAAAJwg 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 +P7jFewicIBY7/GTDN8OqP70ujBs7RiAAifm4CACAofLVFd8Lu/f3fejXY7PmuAs/cdr/d/ZllR/6tfLyCR/cLjr682mXXpxtfIGzFRvn1z/wjfCte9Znra/AqcVmda+1aSul6QiHDg+Enr19JoMkasXKJpMaAAAAAMiFeVf/2Wn/+8zKU1/DnPaZ8jBu3IVHf37sGqf1TaLGRbXZbdNj7aH1h5tK5vAdAJCmePDLII+0dXSU1uHXrVu7ssOHpCfu54nfD59sXzDAuYp7BuPt2P3c8bUmniWorq744D2l2vU0Cu/G5fWhrn52uPe7jzj7AJAQhQ4AwLCLzZof5Wwv+A6WRHx60vgw+dOfOroxysIApxIv7v3NvSvD6rvXO1wKp9HUeIUQElZKUxoGdb7QrdAhUZOnTMhKYrzvAgAAAJB3p1vLPJN1zknjy8KkT/3e0bXNz32uStlDAcVSh3i48qEHt4T1G7cKBAAYFrU1DkGm7rnte0vu/tzhYUnWjYuvCrvXbBAEMKzi9bVjr7HFa2mXXfoHoXpaRZjzR9X2F1JIcf9lPPvw8INbwo8f3qIkFiABCh0AgFwaLIk42QapwYs4V9VdFuoaZgmL49zz7ZtDzWPtYW3ro8KAk7x+KsZJW6lNaYgef2pH1iZMmmJJjEIHAAAAAIpucPLg4Nrm4GH+eF3+ysunh8Y/rrUxvSDi4coVtzWGpi/Whm+tftCkWwBgyLUstf6esp69fdn3FqX2/U68X76nSVPcgzvpvp+W3NcdkLb4mhP3nGX7zh54Ivu1mZUVYdpnykNNTdUH7zmXZIfdoQji/tpYbPLt//o/z2jQKgCl62MiAABSM3gR5641G8INzauzaeRwrDj9pvnaywUBJ1h8/ZVCSFypTWmI4gXmg6+97cFJVCyJiYtpAAAAAMCHxXXNjU9uD1++7XvZumbnth6hFEQ8dHDfutvDzc1XCQMAGDJTyyc6VJ+4TT9rL8n71flCtwcnYbcs 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 +CQDwUZY0zxdCAXR09ubq/rZ3dHvQCsAgIYAzd7KCh9V3rw+bHmsPB197W0AMmZbl9fZmApSwj4sAACiiHTt6ssOEcKJpnynP3eFnOBcL5s0IZWUXCCJxndt6cnefLewXwy3LrglrWx8VBAAAAACcgXit19pmsYy78BNCAABO/3lh7JhQ1zBbEAWw68Vf5er+xkOrbZu7Pvj6nOXBS1gcJPTjh7coIaQwDIsrniPv/Gs40P/GsL1XPvX8nuwWxQP4V14+PdTUVHn/5LzEfeH2ZgKULoUOAABwjKqqihCe3C4IktfUeIUQCiBu8H3+mb8VBCWncVFtuH/D0+HQ4QFhAAAAAACcYPZllUroAYDTqq2pNsijIB7deI8QKDnx9efaullho72WFMR9624XQsHEgtVVd64bkb8r7qGLr6fZa+qaDaF2VmWomTUt1NXPDpOnTPBgcFZi6VvrDzcpXQIoQR8TAQAA/D/l5RcJgeTFNl+TvIDR9vmra4QAAAAAAAAAcA5altYLARjd16FlDUIAGAbtXftD6wNPhC/dtCbctOw74d7vPBJ69ir+5MwMli4BUHoUOgAAABTM4uuvFAIw6lqW14dxY8cIAgAAAAA+Qk/3q0IomPJy0xcBgFObWj4xVE2vEAQwquLU+AXzZggCYBgd6H8jbHxye/jybd8LNzSvDuu+vykcfO1twXBajX9cKwSAEqTQAQAAjjFnbpUQSN7CRS7UAaMvNkHX1lQLAgAAAAA+wm8H3hVCwZSXXyQEAOCUljTPFwJQElqW1gsBYIQcOjwQ1m/cGr5005qw+u71ih04pVj+FkvgACgtCh0AAAAKJLaix0PUAKVgxcomIQAAAAAAAACcoXFjx4S6htmCAEpCPDA6s7JCEAAj7Knn92TFDvd+55EwoAyWk5h/xb8TAkCJUegAAABQIE2NVwgBKBmTp0zIimYAAAAAAAAA+Gi1NdUGeQAl5cbFVwkBYJRsfHJ7+NpX/3vo2dsn 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 +QKADAADFkG5mdDy7J2zv6nHiNpWzcpWHl4xsYOBEeOnw65XpbzqVwgsvDDdvCnQAAAAAAAAAGsGaO25VBEblwIvVOeCia9cBgQ4Mac4Vl4WW5vkO/YL3SJvBU9jJ6cCTa+fPDUtuXRRu+KcfDAsWzlUgaAC9L/SHXT/tCV3dB3wfA+BdBDoAANCQjrx6rJbC/eyP97qZQaWlB1PpARWMZNeOnkr1N51KIdCBoaR58/bWRU5rAAAAAAAAACbdcpvWGaW9+1+uTF8PHnrNgDOstX/Q7t1RGOn7xsH+Wgubnwyzpl0crv3Qb4fFzVcLeIAJdHaAQ1rLObgSgKEIdAAAoCGkmxm9+1+uJW/v2ddXS5EFQlix7GZFYFS6unor1d8qnUrB+bnncysFOgAAAAAAAACTKgXRNzVNVwhGlN6fq9IGwJcOvx4GBk7474MhpYNerp0/99RmdWBE6XtICkGpBaGcFfBw9VVzw403LnB4EmSya0dv7UCy9A6rAAcAxkKgAwAAE+7Iq8dC7wsvh56e/rB7z8HwUv/P3cyAQcy+tCksua1ZIRiVAy8erlR/q3QqBednzhWXebAPAAAAAAAATKqVK25RBEYlnexcuT7v6PFuFMNa/rsfCXs3ee8DzsfZAQ9bHuuofe3Ky98frl/0O2HBgrlhwYd+OyxYOFehYNi1Sm/o7Xkl9BzoDwcPvVYLpAKA8yXQAQCAcVNLDf/V27UUyiOv/TK8dvQNmyphDJa2L1YERq1q82t64JS+z3ioxHDu/uyy8IX7HlIIAAAAAAAAYMKlgzychs1opY2CVdPV1SvQgWGtWN0SvvnID8PRNwYUAzJIm9FrG9Kfeu7M19KBOVdfdbmQByptYOBEOLDvFeENAIwrgQ4AAJy3lDqZpJsXvxo4cSa04egv/94NdMhg5aoWRWBM83Hl+v3THg+QGFZ6OSq9JGVdAgAAAAAAAEy0NXfcqgiM2p59fZXr8+7nDxl4RjWXbtr8pELA 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 +ACCze0rarzZDCw2hrKExMw0tFFLRwlj2GLLhCXSAcpitBJX0lhIAAMCYrStx3yS1AwAUx6oS922e4QUAAAAaRQpziB/bY1urGhPu4Vj/DcoAAGRa16XA9Dkl7d4sIwwNYU2J59B5hhcKp2hhLH2GbHgCHcCCiuL6mRIAAMCYrVECAACsSwEAAADKr77p75XYFqrGpLk/jsNmZQAAMihzYPpUwwuT/vPjvFDe0JhknlGGQs1JzQW87G4jNzyBDmBBRXHtVwIAABi9+uk7XtYCAMC6FAAAAKDkWtvXt8WP7aF4pxmW0V1CHQCADJYqATCO2pQAaCCXFPCa3zRswxPoAMXXrASV1acEAADg5ycAAKxLAQAAAPgHre3r18WPH8U2PbYpKtIQUqjDt5UBALgANykBMI7aSt4/G63BnDTeug3b8AQ6QPFdogSV5ZscAACMTZsSAABgXQoAAABQXvUwh4dVoiGtFeoAAJznGq/sgek2WsPku6bMnevcttEeNCiWIu4Z7jNswxPoAMXXpgSV5Yd2AAAYm7IH4nUYYgAA61LrUgAAAKCqhDkUQgp12KwMAMAYlf35Wp8hhkm3WAmABnJj0S64c9tG65kRCHSA4purBNUUv8l1qAIAAIxJsxIAAGBdOu6EEQMAAAATTphDodwl1AEAGKOyP1/rM8TAOHpRCaBw5ptnykegAxTfVUoAAAAwKrPK3DmhbwAAhVHqE4TiurTbEAMAAAATqbV9fVsQ5lA0KdRhgzIAAKN0Scn75/kaTO7PlPNK3sWfGWUonNkFu97XDNnIBDpAsReMl6hCZXUpAQAAjNnUEvet1/ACAGBdCgAAAFRNa/v6dFrzEypRSPfH8VunDAAAAh1gks0zxwCNoqAhM08buZEJdIBia1aCyupXAgAA4CxPKgEAANalAAAAQJXUD8X6cWzTVKOwHo7juEoZAIAKO9q5bWOfMgDjqEMJ+P/svX+onceZ51kKYYgls6uGHWS11Mtp 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 +CQCghWIsBFvTIwg6AOiylCbIlhZNAAAAAAAwMK8m9C3P0Z0AAAAA+KURsIXuBAAAAAAAAIARcMSXxTRDNtzhy1HRlykBAACgGlK6bP1tLloDxIWfk22XxsMM13057b9nil4FkKQhWOcW3dYbCDoA6ILycL6wcQcAAAAAGJwpXz5N4Dv2Tp/cf4buBAAAAJD2S1Ngb0hsAQAAAAAAAACojLH1u5r2g5bIikW+rPZlkqYAAAAAI5xJTafwKf5b8HEA4mRfInupZ+lKAFkaNEG6IOgAgHEGPbi0BQAAAAAwIEHZ/HX1z/DfMUFvAgAAAMj7pYfxSwEAAAAAAAAAeuIITZAd9qqsCfW3aAoAAADoYrd4/a/5soVuBIiT6ZP7p/yPy+Kf8TyPhQFII/cIvLc5LbqtNxB0ANBlFU2QLW2aAAAAAABgKCZc53BMDUta+sSXJ+hCAAAAgGT80k/xSwEAAAAAAAAA5mZs/a5x/2MFLZEd/+LLw+FCFQAAAMANwoXBadc5r1Lkaf8NbXoSIGpeEK77MW9jJulCAGlWitX3Kl3WOwg6AOiyhibIEzbwAAAAAACl+NTfE6z67315NLzmDAAAAABp+KX78EsBAAAAAAAAAOblRZogO475so5XZQEAAGAOnvNlkWC9t3n/5jjdBxA3QVTunNMTjjnry3Z6EECeBwRtD/QIgg4AuiyhCbLkMk0AAAAAADA80yf3T7hO0F0Fe7n5YZKWAAAAAPBL8UsBAAAAAAAAIBfG1u8a9z9W0BJZYJelLPZkFx03IyYKAAAAcxHOqfaKVftwuCQOABpsdlrCMR84HmUAkGds/a6lgtU+T8/1DoIOAJrGuUkrZMuHNAEAAAAAQGls8OWaQD25NAcAAACAX4pfCgAAAAAAAAA58iJNkA3/4jqxpymaAgAAABYiiKZPi1TXxBzG6TUAKRtjZ+LbRKprD0isQ8wBIAnWCta5Tbf1DoIOAABavEMTAAAAAACUw/TJ/W3/ 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 +HPhhKYSs7IGG3Tz6Ju/fXKDLBrYrM+8YXKdV5qR4zGE62I0WTVIJaj7OVbpscBB0gH55xelegLFD40eE216x3dmExsuEL3/n9BNLLVBpyq07vWM4mXqnhQS7o4l8zllftrPZ7okrQ4wZEskXpkgs3+u4tJ6KrWTcl4e1nx1W7/LtirDD3DwUab3e6WPOvOY01GX3lzAGpewCwc++7H/ToZRcFut8eRNhhyz3HpeHnIcT+GA3kr3eDEKaE/hOMmtIw3ViZU86xIDK5g7XEZXdUdaF7sT2W0p+KeLNxCGGwZI8nvRt9T0/liaG+D0Nse9+j66HSPfOlpzGpZ7ZsWRgE7o1sYvtQ+6HszmLAujaVx3BvnyGnT9u9O2yb0j/h71N+VzMdExyIQGUMB9sj2jdLY/NYsQ/cdp5qqDrk437H991Ny+mw2BYXLu4tERce25iFYz6TR9zxnKOFR7Gm54lRvEzpyfoYOdwU0ydgW28zblviFXbLvrtLPl3qj2QyvnacOPeLlvbgz7kgpWPXWDn0bfbaYjV9yJdNtB6OtvZ/iJaZ0EeduSUVsn9YvU9S5cNzudoAujTIVZ+pWNM8fWeLuQSAQliRt03tuHaktAnfUfxRYE+bbAdsJ9ynQMDdUwd+NEaN/5qa8GZAcfMuP9x3nUOukkmXxhrp/eDvwOadnJpuET4Xxn3lfih1qYXTUSJ5pBZV670MG/Mv3jfaRx62CHf5JB2oik2tlAw7bFfffm1/+ebjgO8simEHX4tOH9iQW2f2h507+HLx/hgt7Aj7C/W0hQSa8hvXSc5EzGHarE2tpdqp8Tj9GWMvawEfzKIQ1xkDewJs7F7fJtdHMK3VLMdJL5BTDar4ctPw96Zy9YLszrsh6eGOH9cKfbNJJfDMDZmIuyrsC+3ckcJ/g97m/JpZToe1eKUH2NCQN1Emi9JM8CI1uMbMSpfPvH/8ZBDzKFsirj2ROr5qQMQqy94scd5809OQ8zB2D3L/01x 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 +BRL3f6FeUgm8r6QroUSSEwgJ6wYXGGFU7IlI6BO/tFpe82U1Qx4ioE0TwAK+kPl3P6UlIALeowmyZBdNEC3/4ssjIo/VNATb90ym46pBP0HibPHlWuZtYKIOOxkKte/zisuP99IaMAQmBLI65jnNo1qlsXtEf+dngm3zZAZrhgktjolVe9rvVY/X+PfV8vTawkP0Jw4xBxgdMYnbqAlWycVPwtmYiTIi5gADD6ME4x+KdxEQ5C0JBB1gIV4QrrsFuDYIvyzRYPhli4qTvT2hNt9RhtJfCLalcinBXs0eT+RbeCEXYrI1Sa7v4YD6F47XBubDXlZ6b5Zylaa5jdhfHmBdGZ7DQUBwFKgdNLXE7H/TcSl3IS7PYf/hdlYkEnh/gK6EEnkosX3DOOsG1EAsgkGr8Esrsy0T/scGhjpEApfQYD57ZTHUf3AkrEEckHSVnw1qOL1LI7lgyczrRMQcFPc2TjhvbFjuF6tvG3MAfc5tGzNfpyXcAb/OT9EMtWK5DVx+nJ/Zzkov0yyz8p0QP4iRBt0zNB/59WtUNltxbdgQ8fgvY1++1MWdDzcXW2r++2p5em+Ljs+jjrgRjHjYxZAjprjuqMW5wh0tE8DjbAyG5cXEfMWmoP0hF6IkPk8TwAKTreUN3mn/zz9zepfztokbC4K8+dIWsg8H/T93JNDmdnHUghH3DbnZOJrIGDzr0hLs4CV1iIkJX8YT/C5T5839tYHfBPtp67j5oBY0O9NP8CwEGtYGu7U2FLvEtyyztixeHhgf4UFmPzQyH+smQvKhL5+EmMJ/5/pXKZ4YYX1XOagEXhX9bD6Y7X+7y/7f2CsN0Jbda8CXw7+XZNimFnifUk2yTjnBBGpjXWLrBmIOUMvwMxHWml8PMtTi/RJrcRDY3cMwh1jI+LIg9MZrjhgqxEOLJsgOXu+Ok8OCjyyo7W2yFNcVvZDQxiTAAONmyo/3v/D/3JR5U2z17fCvfHtsZlSM3N5OMP7cBdc5 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 +RWOBPVjse4ZCBGgxQ39oP+FDX+5yeq8p1clbvuyuWzRL0C+9LFLP/+KIOc3Wd2Yr3nE3L661Flhjij1uM6y/99OMA9OmCWCOdcB82QO0xG28F2xVq2sOzTePml17hQd9uQe/aCjO0ATZ2SF1oWjzc34exu6NMlvsKHxrI8QRYrz0Z7F3e9F3u+IjNYJ7m4X84ZRpiNX3Y6w1DErIXfuq61wyzz0Gafk5b/n2eBhRh5H4V69k8rn24Ik9/mBnpcdrmOOtsJ5PhDwEOytd6JGJFJhw8eWWNTOa5j2fLYQcAvPtp8KZmI3Rb4Yx2p3P9UIN32FzVi234EmXzqvL3XxfsM7PReJPrBFrNxkfLOQgHXIwLJb/8onrxKs5t+yNT33Z5zq52O2a69IQa7uWSkW9jTkqaMMhfsy/ftmXR8RjCoo5pucZfuWBoAP0hAkkeIPxPwksqAd9XXeqt7foISiUg9whpSUa+DH7dy6N19ntYO81Xx7vw5Gy4G0KL6Xb5vhR9Vc/54Ak5N457bqSoQYcD6055krxcvtf+bIu83Z+yl5kUz9Az+SA2g6m/97VIOKwwNprdTGfd2fwG19MZB2ejZdcuMgcETkkilvgZfOg4z6sHxOuk1QxHsboCtcR3xulr6EW9JJQMLXXQBK2OQXFSxtTMa3XIUnqeHjZ1ebWNxPZi8zkjrDOTQjWfa2DueaUCWP1+1pTkRg4EexPw+WTqDdzXLWE65+TCFC/WHLHxdC/V9zNS3Vn+l1/uuLJDXfz8tJK13mdMEcsgb92IQdh2rFXMPikuSeAmNDLG8GGnClzvIeYT1GeStTnrAIuR8Ns86kQBc+dD3z5WZfNGmStac3jB5m9+nPXOYNASCyR9R5KZVy47iY6PNWrr9MlkGoxhYlZLlTF4MM9msgLYirkeqG5IVbfNxiqMAzhwbKn/T9/TGvcWO9Om8gF603l+7wvJP6px3x5vQ4Rh3nmuu1jJl3nkQnbB9p5YqpC+Pby 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 +ld1CAOEtJ/qKawgkb/Zzyi52vOjSujhn3zMVSV1SFgqy9WF7VeIZNYlyqPVXO+bKhTX7J4mOfbOdk4qXGWaIprzs0rmkawfHptY9IVbvVRnvMwp/anoU/lSYr0Wi3vddnkJxURPs0tbMm8GS/yxR7nida8yMi9njIfnJ+uephPbh9lrctyJey/FLy/VJj2ZmSyyR/od1+quziCqZn2ZCrbkmiMwFSQww02ZZ8nluLxDZ4xA/cBWLOCxgs2wvYmVn6INdDpGxmVygCbKyReY/qZ3nPO/n8mQF9sHWajtHsQTyl0dsG0q9HMbeJo39TcWsEatvC4sNJdl6e2DkXsdLoBart/Oit3x7PIyoQ6m+lcVEUjyP+Mh1znamBOe9rfUTQWD6u4nN/6025mLwITN4VKvUh09mjNG6/RzL0VQTdLDzq52JrBs2rtQe5zgcUe6kmu05L1JPE6dKKfe3X665IETsOgIOdcWxb3koMdgMi2dbedKlcQZn9/z2u7jFwh4Qa9N25Otew6WZX7oQI8sNmkXkPDW70Svr+njEOUYagnXmcYsSQdAB+jX+Z7zR+yPXScaIwZG3JPEnEjj0TME4QzmoOhTFoZi90JVCIrh9w5yXh8IBQCrB/22KhzHY04Ewxb9vuRoTKeewHTm8MD2rnVHdSCaaiCwr5DDLnLJveCSxi70rIpovzURtkl1oTzGZR02BNfb2/4lL70Xvg+bzpxBTMJ/e28rjwa9K5QL1M05P0GGNy5d/9OWFUa/X4SDs8eCjWuKBiYEsSqxt5fyPIBjwSqZzYSQvUQ85b8znsLjXzqDe/4zwHi92IYeCB/FLS8N8g9QFQQuRpBuXomOL3Yb5tjMkopot2ZXgPmFQ2jQBdPlDlmx8JKNPPhz211HNA3ul2XWEpRsuvYs9w/AxTZAVanvKys+uw57okRBLeGUE/qVdhhlPZDyp7W2coohvSagJz5IQDGWy3Zc/dXnH612ILVi8/F2/5qWeGzaq +fd7asK9ICVkhhznW/OIRlKMunRhiLAL4KT+qlbqNtNjIIbE6W17lWvUcphAf/IZYta+5uMQ0mmLtd1ZgXKYqTtXL2LYz/MmYbUtXPNv6yeJW9nDganfz7FAFBSEHZZ83Zv6LS//cuJiPH4VxXvcDL8eDvzce7g0868s6QbsxCC85vRxx2f1VCndsYuJzNAEMMAmvBAN/omYnz1T5H0nUyVvFSMsW9fG8OaG+2BMOYm4hsRcmD2dwYNfArNzYMNrBwx9af8e8bob6rbQ1Pqz1qTOuVuGQ+PpaYvPjseBTJrXRDPbd5tN0Ip/0TCT1SPHVgVTFHBT9gGjX6HBQlNJrlhbP+GM/7nemFFOwbwnJ4Y8l4kstD4n1SuR4mfFq2G88VKc/FQ6ozE79C1vA2tcM85csWfILGX32ZV/2hrXl8dj33jPmjr06YvG8P3YdoSMVDof23ixyOece/NJS7EvT/9iRgU35xxCreCjm2G3wPSdC7GEvK2DWlwVhdl7JZH9Q+EDjMc8Bq1vweb7k0omXDsM7NEFWKCUGjvQiVYgl3Bf2F1V+03hC40ltb3Mh47kv5YckekYFNe5X/Y9HXefRk+u0yA0OhXw3GI6U4t5F/vXK1HIHw1mV+XgHE/mkWHJlGonO6+QFb8K6qBgLaSbQ/PYYh9pL2d+O7IxTLU+vHXPlwp2IA5n5b6eDrV8SYtgSe89wBmc5B+bTWA7YW0I+pp0ZmI8Z/QNL4exZiQuRt+eEy0NY8Weuc5Zv43wyprOxYDceErMbw7BOcB4XrBSMIUCJIOgAwziJj7vOhctrI/7zh4OTN5lwEzcYZdnOrTPi9W+5esVeyublGRuNcaenVjsXxxJLHpmLtS5f7ELJNsXDt7DGr0zMnszGk4J1tlflFifQ9ua/7g3zo5W4z/6IS+NixaZwObBuHkxwqGxIOFFumaAvHR1BzOc7iYyJQsjn8ZQvW4WxlIqoz9dUKip8QDAM5q9Hs98I65mJ0H6Q 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 +5HMWh/NaBdaIte17rLLlg6ADQHzcTRNkSbKHlCHgc4IuroW9mV9oW5XgNxUbx6ncB3dQFH00le+JdBNpQV3Fl3YtiQ4xh97nkvWzBWKVkhHqmi8rhbva+nc6l1eOggKw2lyMyWa9JNr1h/GR+hpvapf0Yw+6p/hylfkHqbxUc1y8/u2I6/ayS+ti7o0L1+wlelpLbM3t96JjbkIO+KXDtd24/7EiIduSvZ8axtYGX36f4Oe1HeTOi4n4RBZX/SMu/iSXxDYTLnZBtLY0Zv95hl2wxPh1OdlLxb2N53ymc0ktTnnWAdRj18cdog4zsUfITiHq8Flcyh5mWSRWdcspQ8yhdzugmNP6lZr+bkO8u+1sYpJR/9m4vyZW7egv54VHs14RHBJbIq+fWp5eTA/5mN3ek5D5+th1HmSYwpIvaOev+PKI/+exPv+np315zP9v78uonZti9Y0mzpWIyHkhhpe9bQl3CI4l8jkbReqpdjeHHLoKQNABIK5NfYNWyJbUDym/7vQCgeoczlUtrovUbOqnbBxv20RaEPT5RD6nGaFPohbUtQDLJ66TRMfmsT+2O61khL+o6e8qC69Z/+7GB4iWCxHZf/Mflwn2+bGcXzwe0I9qOb3LKU3qNjLs0GpDKj5V5C+L9EI7xkqFpNYxp5fUOts+wvbbj7Hf7ntuWXv1IuqQnZCDsF8ak7L+i4mMAcQcbrUbZ0IMIjXepnfzpStxTd0nMjEH4qq32ixLYptO8NPoY4gVS2L8RbgIE7NdMP/ukQztZUOwzu1M51JTrL65Cm9AHHZ93CHq0M2isB4j6qAblxpDzKFvTNhc6SG2e2vyl9Uf1dpPvOMWfiRY59gv59lecblYmx4MD6rFjFqeXkzt+f2EbJbdr7kPH6fvvY498jNfbLsQqC6EHB7K5aGwLtQEMWOyMUfE+74Qc3gE2/IZdn7/gdMXr38q+k27ZrylxRQpHwQdAOKiQRNkS9KHlCHw8226eWSc4ELb 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 ++/8YMRRgfZiXWpX1xS9Hn8C+DOWHWttdE/6ENr2YJePCdd9MYuxQ/EC8/sRU8qSV6Hd1CzuM083sbfDRJPuKdQkU9quIOtzKvb6cSvC7lC74WAxlC0OxMlRyZUa55t9FXyaL4vnwhrqFhcJZxlaxdvvI+zWTDPlK/ca69zYvuk7uhypPkwsGI6YpVt92BDZGEds7bWC4D8z3hOveoF6lwZlyRSDoAIBxhvrJchMalLv20f0Dc5gg2+yIqpcV2OtYE/TiULZFSTF9JnfWOG9MWEpFpddeRdjMaK+Ulkg9myOaH03RfjyX6Quxan5A3QqmKglKiPmMhhM0wUAoC3SaX/VCRn31iWCdY1rLvyna7zfWEF+2Y66A9WFe3qj574+L9vNVx0v3ZaCcYE2SYWaEpPGtotVHTHp47LKDrAgNYh7Zkvq8N2GHQ94+f4ywA3ubLtqZ9lWTfgIo3X+acog6zGSNX3OnEvumrwnV9duZ5gDgO9fnn6k+qnWc4bzgGmdxzUuCVd9Y899/yeldnJcSAhLM07tcc3s1XOchn0Wi5uhgRg+QQDysFKtvbf6/4GNh7J3K8xVbor6isYp9XHZ7ZDkQdACIhwZNkC3ZOorhQtZHDIG+sVclx2mGJO3pdhLqSuHvRetdZ5BIyabwOjsb8FGj+vL66/gBEtS97v+dSDsh5jMafqVQyQgP8FX3H5ZoMs2Frug5E9G8Wy3ahjfWEPbawPoQPU+K1vs57EspTAnXnf7Pj42i9TYBmgm6bziCzVcVoXmPHsx63J7O4FOXOYQd2NvcJNdzRLXzrDbTC0TWUtuzPubLp7TGZ2z16+3OFD4k+A2LVYYjjz9VPt9tbbosUNWVI5ofDdGuPEHMtmcU84qaNa8Z9mDWIrH50GJfk/S+RtUnKx72ScKnBDnUBKvqjHOpzlH2TuWg+njzGnyc0mBfVRGfpwlgnk1nQ2rF1X+pcy0jL1vamX+/qX++yTDombPe3nGZLU17Oo3S 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 +gQKcH1WDFZNejBgAarFTp/3PtLcVJv3vM2p29oh80cVXtH6JmAxztNUfFBrrUbQb1OBjTvmf434fya1zuHXx3s4KSA46zUJTtMTGSyHDZniJvacadzhDO6aAPL3BUL3DY+f4XT5xwL4ZmPNM2cAssfPmTIshVYbwfZzDEa6Fn4ZHBfbrmqGgA1zdzMTGewaZNxAtoKsjjGbQveGfTyON8sTq5box4+DdbKwQHDNBqvKZEh13p+Z/T2kvf1B4XkEbtc5T2QYkQ+EwJS7xeQ0EBX2A9VkeHzJl7m6hsXJJdHTWIQLALpWxS5UTzjqs9lKxS4s3iY35DNMG2L9Z7vPmB+4UHDr7FkiTWWGHO5hxGHJvajmtnLO3mTWo8Hvo3yfOuvi6MVa9X3a9DD5gL0kOOs1CU1A8Gwah4yjoUAVPZPzu5OmlTTs3Gx2ioyU23iYLVlkOgdodR3RM+UyJjvtHsQ3oyGvPTbGcYD5+DxHkjWB3QeO4uMwVA190dYRh17klOP0P/9zsn0VIpFReDPKFHooJim2mrVR903Ka1QBP1t2BV6wS5e2sbmgIOuvqoGYPneLzGggSRYD1WR7HmDIpYrkk+p6i/Rb8QgDs0sE40aD/onq28wWWeXmE2PZTgkPvMHsg8o21kUKpWAGaJYLjJrkckiAUdrAu1btdwgVz0d0wJGrrBTsaqtCbG/1j8dR97trZ7q2Z6tOfsyIGRiX2vYR4NzSEWlMtbIxmfDS7NHkZSZTK3swbbqoVcGxqrlRjff+FTxwaBrt6cBSbBrWZtvIQvo9zmWbJoAgFHUDxUnAXmWOgQdTGnK3xNxwVwKvCEsemEIM0X0QEpfKi6Lh/yNTNC5eyoAkbhs66WrTFxtvkRV2lw9+/QBtBxKjZJllf4BFM3u1EMo6PRKd8IyoKsEsHhkJj6c9x7Ozxz02C4+ZyNGAX5edT2HnnTsWxZ34RABLDipWHblZ2wWxv+I+vJPaaFLmFlP2TDlMGJdpn +bf+87f/4E//cOst/5dsZikXxG2uqsdh/YhsAzItaUy1idc3xMiIoDcv7msrYtpPb75pqqCYc61tFA0tomNX4dwOjmCvEfZxy+T62KUB9UNABFIN/XXGZtwXHTFdHGIYXBB0gNbbTqUO6W8kdXFQvdQ1MiA5/mhlM0mYCbdQOEE4xX1I0ebimlMywFlUEEbNSbLwd9gkpYtHVqkVdv4CKAvTNwHSZsqFZbN0/EcP4hATNLaLD53J0fqja0w8zdaUx5XpF1tW4wNRBioTCDjv8Hz/vn3/Fp6jMXuOiRfwoFUX+oKkLT5CeL+mfN/0fX3fznyNNZJhLpfiNnW/o31W6oNTmywdY0D8gVtccHURQGk9kbi+r+Z/vsGRHgvM1aBK1PK8m9wTFXCHu45REiKVsEB3+HmYQFKGgAygexnWReVbGIWgZc9P+ZxOSqBzrOvICYnDKCSUEqcbXNzb/B0SHf7jBYPx7QnJqs9KhZtSK3Z3JfL7uwY9Ndo9H/0OstBAB+3qFxJJ4prpfbeCgFrBLZfTNadF5JpZXDt9zuh218elAheWK3e1iI8hwO/oKID7s4pZ/1vk/Pumfy8K2RT/tiMaiuIdks++F/WmZ0JB/jtaCMdd8yz+WE/KuG7zRx7cz2xc7gsNuKldG6fI3hfqgbn3bFhsyhQyb5RAiGBvzY0/6fXw6czmQpzccqudrj/HJQ4NIFWxuuGBVV3SOOcMf3xdQvo9zkkJvoAoFHWCd2oC9wu2Ky/wewTF3+FRgAGPOOmJsQRK1sMg/q7zMpzKXg3JyxtdZxmNj63+56NhfbvDfVuo68BDLHGpGrVBQ7oGoW8TG22WtDAyBdogVpWRp1UTOMmmJjTeWYqpd4Tln/wDsUg19879E55kYxZiE8wO7gLNIcfwJnE2Crn02CpNM39hY8prqJfG3mT7IAb837wm2xakEXmcpM4r8BkQt9tFhecKI/uPS0FDoN274pkITFA6PnqbOLZV8vOUUMAbs 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 +1IhaUy0KGTbvf3X9z0kkMRLfpfCZrC/XzfzfHwcr2MaFa6gbtbzzRveGsDep5gpxH2c0fuqfm0XH/rFr/j4OwFhQ0AEjRY2LyLx26OoIsxKKObzhxquMDuXwQqYXnlPoVjLF8h1K75i8NogO35JAD4cDjSbpisnNujduZPVDDfqlpTbmzA/41ArlxTBXHTGZEWiH2FDzt7o5T5ZgQdXYLom+LTz9t9KNGrBL5yWGIl/Ke5TFdp5h2Q+1J1tMZ1cCr0KCbb4oF0rDLhqeopj0IuWXOPLacx2mEnLFr/9p//MkksjS7mwl/n4Wm/ya2LDp2gwL+ov+sTjFPv8sq8genspAlHL6ryl7VfRs/etoC6gJtaZaxOri4CVEMDRn/X40hRhk8/S6OdpQJfIUjd2gZtaJjTeGglUfCs83++tw+7AVQ1BuyPAsBbJAHQo65E1bcMzqlTXXCI6Zro4wmxFnTvWPXRoX6q8k8A7Lc3NEBC/ozAWXFQef80mnnQBuSaDfbXoQ3oFVtKW4LAF1oKaL38t8vtQOeDoRjKErOM+TqCaIiHvExpt7Zxoq7evvW+PwPZJBKvPL1yAFeX3T+P4gnnBmsZ21oUgBDKYz/iGR1+kwo9nSFR8/cdXBddaU0y0m3c8lZhNyx9ubloy6H0lkR+r+qnUyXSw03ssUGIJ57K62f6yg7E/8c2vF/9zfZpCP0xYb7+mG//2jYvLaRE4Z1IRUDjB2RjRQwGt4HkUEn6C2v52OZBxHhefcmoe+wNKvzM/iHF9fz8SQN/Sq8HxzH2dwfTHpf7YLv8LH/tnDTII6FHQANdSr6CgmE3dZdjDDiLN1/IZ/7nDiXWqCQbcokanZnplDntLljO+jWRbUO7a21YN5JyM6UHpHTHbL6CYHNdDCL5KizXwNjeLlbqqzQ0zcgt5hn6iQTmTjUS8IYomHU6it0v1y88ne9b/vcxAurW+6kYzjgvi8v4CduqDOMPkcdr0EvRSgw0e+dMTH 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 +dYbtu28l8CrfJScSUoGCDnmjdgnmQ2TeCHQegsKQs2pWWxJ5nSeLy9XBqHssoan6TibJ9Pck9j6WJEWQ6kbn8Y0gG/Vufk9HNp6OqBy3c6l3rG+qhRTmRa3w2vGM17KcnRPRwewvBKeciycZfjMRoraHvsOUuduFxhrrJdH/loif/Qafw1h7yLT/2TXPf8WS8bPt8oFdij/j6CI02zdhend1Yq9G1z/4hfj4Lba+KpzxwTWd1Xa95LWbEns1zvVh2G9h0vU6pi8O+sKe5Qn5Us+JjPM8PkMpTCZoXyvGxg+TWI1vGAqE/tbFk2Nm+9w/JWjPTqiNu+nixv7fN3tZrXCj2Wd0mh3ve2khhXlRi292mbKo9LoV8rqMJObFCvgRl7sRNd18PJJvLoXL1sYGbJuxbBs7m7emTqvnsB3N/3ne//d+lvE5ZltsvDGdRf6z+Nzb+j+MprhOZ0y6NM7DsKkgKSjokK9SbgkO+xgyb8z5A3SGGXLbE3md/X5d75mxzi2weCSR9zNHJIfCALcn+E4bwsE2OietYg5niwIyEe3tXafZWc4u9f6YyxIjfVMWAP+N/32TDqJzcrfYeLsZz5XahcHTEY2lIzjfxcUTbKThdb8lTb7p//hbkx/7Z1Z65wxT5pYJjTXWS6KdRNbCaq//KAw02h7yb26wpHu77PVupns1dumINJ28XyK2/n+K1vjkspklgqxO8PXo+gep6Kzt4awPndWTw+suvWIOBuf6MOy3sC9xX+o4325WfC2xGOgLwedQ42WWYtZ7y5Trxad3RWhrrU6syNkLgmOOJS/vVdE5/w4NUEbSS23/82v/ewafeE7UmmpRyBD7T43HuIcxK3eJjbcb0VheSmQNPM/ePLJtY7lgdwzwX9/ges0Z2kgOHTMEhxKQ56rQvASdce0MIIXzsG/kZFOFvK32HA95wAlAQYd8aQmO+SIyrx26OsJCyRxqHPSG3FwBgEddOtViN2TggC9L9L125R6k 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 +2XOxxaVsPF62JxPwGbZbzMa/z2Smtm5/vOpKSX+tda22wg5P+b/fCl5PJ15IXa1wBYUMI8W+k0T06riYLjqVaw7jEKwWG28n0nE9m4gvORM7Y/sT/7s5t3ywEMv6tqsvr/4W1zsfeNLLOiWfnoJV5cUBtiT2mRX6ZUMqNn4obP6U0y4AOReHQ8F95fkxfXTYNVt43nxcuw+yxssz1WY8klDQIUNEq4eeQuaNsI8vZmzsAH6d0Fo94NK5YL11VGfeDvW9LJ5I6Bv4nn+fQwklzed4QWeXn8MHXa/SnLQTmbjzaEH5t1SCW0HXHXS9DrXqmLPZzumgOtiX5lzvqvCfWRb+/p3+33vOpVvYQe2gKNsq7oLF5i5EOq5UCvrYwZIlkD+iHrwd8juwQO/3KvLbiou39ndbYQfzZ5/JSb6z0BIbL51pnLtNaKzRXxJNzGeYqe+KQ6uvpuBrD+E//G1497rZ4J//6cfxlykUDMIuLU3HWPL8OZdm53Szp6wA2Wb1NR8Kif0gxAhyA9sK+pl26SWvFZhN9JATL75U0WUeJbp8pjDjm7AY0hv+ubkiX+q/+N9tMeqNoA8OiEzVL9AnlWGFTOyi9r0Rr9Ni31LnaK6FlzPCzgj+KtF3u8lFmNgedMQ/uF5MTZ0fRjyuFIoZ26UkazR3f07d4ENBJDsvXdJnp5atGyxXxvL19tuenegZQhu/F0rkJVdtDpsCpou2sRQWRK3xUqz7q9no33fNnPvWsUas0MDulBohzmPXtMJcmu1fZ1y7vzmDNUFNpVA9BatKIKEieDOx9/m1f7dvKRcyCf7Q37k08yyMS/55RFy3x1agM+uCkDHye4ggS9YIjrmLzEGU3wkZDdMunQT9sbsJhf/9kUTkYYcXKVVPvM3lyURwIiWro5nz6J/ful7g/qZE58gCXE+IjfmHCcnfDqrfD0mKaSuDnh444+o7CFsS/q2zVpRFuFjZfO8nQ+ZJcWprrxvpGrLDl/2J7Lt2 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 +uN7fq1ogK5xbHnBx38vcknFjt6igoEOetATHfFFc5lwAyJfo127YkPclIm+rcFqagREOlXYntB5fTOAd0Kc9rJvI66E6YDtSh6S/kMOtGczJEa8zpkTHnlIVzeSq8xYddUNisn1PMXTFLC68pdqFIGa6+LL4AiXZuR3/czKx9VF0QP5ZIgVn1vRVYo8lyFsUdjifUWBXrTNNh32Cfb0ifpDJGlriri/sILWmQtL3juCLv+7iPiS0uMavhfcT7NLy7FLThSklz8/FMhd5gawZCWT3hv84xw73+OAwH9OZvKd1A4s27hdsnimz2Vw88dKmOY0IoNjPXTPn/oXeaKxAXjhL+ZnTamJxOOKx/SKhT8Ns2v7Oe+2G9i6zIyzWu8mlxdNo32zYk8l7Xj0HD7kGtfjvM3TEhsTk+d3Ix5di0T7bZ87EUMioLPu2L969NiIZ/yacSbeFZdtSGzOFDCV4KeN3/65yJ+kaUSs6dEJALx7MZO2YHfB6cc6mVsAq5IBZvN2KhOxzcV/ILpozqN7XuEtsvLHbNynnCi2aYd8fiMm+D7GCPf75KOiNVYnr+Sv+Oen3NmVf9g2nEfvdJ6zjk+FTiCBLWoJjPo7MQZSo127YiFMp5nDCG3Cby/5L7YK2l9PXXRrVz2+1RBrhS+fo0xux5GoLUtmFTLuUf6jJwHC4PG/Pw6530J0LVmH5UeHxT/vnOy6ujq1lUFTntS5Cz6h1hwl7tAUmYk8+tPFZxcb9/ndK8AC1LTbetzPf91biC5TKswn5Av0UCeRyeikcOJot9ZiL+/CuuJD4jOsd3OxJODlBTe/kniSi5i/K6CervO+/+W+7PIr1GUVhB0vePuJ6HQgPxajrgt9gNq3FrtQOcBeH/eQh//uI2F6itj90Ih+fJc+ndqlpLooCWX8X7PHphmN5RezhIXd9XCj3Qg4qPh3UbxN1/XdzMCOdVcT97MLxj5qMr/b5yw+59C65lcEZRACh0Mmuhodh//5T 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 +CjrgDMXKJWQOwlRpnPzUP6sSkdNEyoZcSPxMKcjxYoP/ttphwvFwqEmQKz6sevJ9VJIrXd+ZLreumHQfSJfiMm8qB1bY6VrcLTbe3ALuX3G9Qm0k4qWJeif14Z3UXhFFtW+xm/k6bQvGCnL1G2zfeMD1Lvezb+SDdVz6o0R8CTW7NIv9Idgpn3MUmoyNy8FXmBYbN13/oA57iMS1CKfGP59xesWQKFqdnw45jg6Jkv25X3YN+9uTLAUptvp524EYoCYd0XW9S+8fIw0p9lLMYaD1bZcg73Pkh6XM1RiXFUFKJNdMrakWhQzT4pDIOB8jtzR73ZPd/Ae7by9LNT+b36VxKbslNt53MtQx066XK0SOqTaXgm+0I2Nb6UJqc5pZk7eooKBDPtwlNt4TyByEjc5KDJSJ9TsPuHQ6b2zN5FLQNpdOEuiEX4OTDf3bbTFZdYMusCDXfrRiNE7kA35OphBFpXufJWIcRhrJYYHb1C7zrhYbb4dlKKUPc6s8a4fu9zouPqVGkZz0pQwD8GrJBKdZrm4FIpDaN8yusdjWvyONLLCiindSeKax762b2btaoUmKOsSBne/9UfAV6PoHcKPOmnZcyI7NXimKQLfFxo6NhQ6B5rHLrpOI4eratCJ+nIvHT3FmPo0ooGYdYWdnFhOkqIMGFH0Zfo1bfthuJJHe1LprMa5UkGuqxTJMzh44F/EQ7YLpkcS++VhQO8/vZPqNmv1HzCkPzoXYwA4KVjVClgWrQq4QOaa62N2QFdhJyRVkeY6l3RwUdMgAxe6CTjxpSlTmUA7vVbSm7AB8UyIy2prLAXFwdJ9O6JW+15B+UwvodfvWwKTj0K7xTzE4kR1EUb3Os4ufjmq9qZByNc2VYuPNtvK7tzvaYkO+kOM8hYN362R5wkEqttMfZRyAb4mN9zxL1t0mNNZ3mK5P9g27eE0xuLT3ks+mVFQRu1RCt1wMugWbtFnsYvTn+gqKqH07dP2DunTWtKMbUdMU 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 +ADATOgAAAAAAAAAAAAAAAAAAAADMhA4AAAAAAAAAAAAAAAAAAAAAM6EDAAAAAAAAAAAAAAAAAAAAwEzoAAAAAAAAAAAAAAAAAAAAADATOgAAAAAAAAAAAAAAAAAAAADMhA4AAAAAAAAAAAAAAAAAAAAAM6EDAAAAAAAAAAAAAAAAAAAAwEzoAAAAAAAAAAAAAAAAAAAAADATOgAAAAAAAAAAAAAAAAAAAADMhA4AAAAAAAAAAAAAAAAAAAAAM6EDAAAAAAAAAAAAAAAAAAAAwEzoAAAAAAAAAAAAAAAAAAAAADATOgAAAAAAAAAAAAAAAAAAAADMhA4AAAAAAAAAAAAAAAAAAAAAM6EDAAAAAAAAAAAAAAAAAAAAwEzoAAAAAAAAAAAAAAAAAAAAADATOgAAAAAAAAAAAAAAAAAAAADMhA4AAAAAAAAAAAAAAAAAAAAAM6EDAAAAAAAAAAAAAAAAAAAAwEzoAAAAAAAAAAAAAAAAAAAAADATOgAAAAAAAAAAAAAAAAAAAADMhA4AAAAAAAAAAAAAAAAAAAAAM6EDAAAAAAAAAAAAAAAAAAAAwEzoAAAAAAAAAAAAAAAAAAAAADATOgAAAAAAAAAAAAAAAAAAAADMhA4AAAAAAAAAAAAAAAAAAAAAM6EDAAAAAAAAAAAAAAAAAAAAwCzg8zze50D8YwAAAABJRU5ErkJggg== + es-MX true diff --git a/Empresas/13/Formatos/OC.rdlc b/Empresas/13/Formatos/OC.rdlc index d4506917f..1d16b9cd9 100644 --- a/Empresas/13/Formatos/OC.rdlc +++ b/Empresas/13/Formatos/OC.rdlc @@ -1173,7 +1173,7 @@ Textbox20 - 7.25225cm + 8.173cm 16.1331cm 0.45183cm 2.06968cm @@ -1339,7 +1339,7 @@ Textbox20 - 7.25225cm + 8.173cm 18.20276cm 0.45183cm 2.26019cm @@ -1449,7 +1449,7 @@ Textbox46 - 7.25225cm + 8.173cm 0.20457cm 0.45183cm 15.92855cm @@ -2432,7 +2432,7 @@ Textbox12 - 9.76815cm + 10.72065cm 3.07712cm 0.44478cm 5.83844cm @@ -2468,7 +2468,7 @@ Textbox12 - 10.21293cm + 11.16543cm 3.07712cm 0.4095cm 5.83844cm @@ -2508,7 +2508,7 @@ Textbox12 - 10.65771cm + 11.61021cm 3.07712cm 0.44478cm 5.83844cm @@ -2544,7 +2544,7 @@ Textbox12 - 9.76815cm + 10.72065cm 11.4732cm 0.44478cm 5.83844cm @@ -2580,7 +2580,7 @@ Textbox12 - 10.21293cm + 11.16543cm 11.4732cm 0.4095cm 5.83844cm @@ -2620,7 +2620,7 @@ Textbox12 - 10.65771cm + 11.61021cm 11.4732cm 0.44478cm 5.83844cm @@ -2637,10 +2637,11 @@ - External - =Parameters!FirmaAutorizo.Value + Database + =System.Convert.FromBase64String(Parameters!FirmaAutorizo.Value) + image/png Fit - 8.19797cm + 9.15047cm 12.49243cm 3.5cm 3.5cm @@ -2655,10 +2656,11 @@ - External - =Parameters!FirmaSolicito.Value + Database + =System.Convert.FromBase64String(Parameters!FirmaSolicito.Value) + image/png Fit - 8.19797cm + 9.15047cm 4.23541cm 3.5cm 3.5cm @@ -2805,7 +2807,7 @@ Textbox1 - 11.98901cm + 13.25901cm 4.69611cm 0.6cm 15.75563cm @@ -3075,7 +3077,7 @@ Textbox8 - 11.98901cm + 13.25901cm 1.20854cm 4.59028cm 42 @@ -3129,8 +3131,228 @@ 2pt + + true + true + + + + + Ret IVA + + + + + + + Textbox20 + 7.26417cm + 16.13046cm + 0.45183cm + 2.0717cm + 44 + + =Microsoft.VisualBasic.Interaction.iif(Parameters!RetIVA.Value > 0, False, True) + + + + + LightGrey + + + + LightGrey + + + + LightGrey + + + + LightGrey + + + 2pt + 2pt + 2pt + 2pt + + + + true + true + + + + + =Parameters!RetIVA.Value + + + + + + + Textbox20 + 7.26417cm + 18.19155cm + 0.45183cm + 2.25666cm + 45 + + =Microsoft.VisualBasic.Interaction.iif(Parameters!RetIVA.Value > 0, False, True) + + + + + LightGrey + + + + LightGrey + + + + LightGrey + + + + LightGrey + + + 2pt + 2pt + 2pt + 2pt + + + + true + true + + + + + Ret ISR + + + + + + + Textbox20 + 7.71953cm + 16.12189cm + 0.45183cm + 2.08027cm + 46 + + =Microsoft.VisualBasic.Interaction.iif(Parameters!RetISR.Value > 0, False, True) + + + + + LightGrey + + + + LightGrey + + + + LightGrey + + + + LightGrey + + + 2pt + 2pt + 2pt + 2pt + + + + true + true + + + + + =Parameters!RetISR.Value + + + + + + + Textbox20 + 7.71953cm + 18.19155cm + 0.45183cm + 2.26019cm + 47 + + =Microsoft.VisualBasic.Interaction.iif(Parameters!RetISR.Value > 0, False, True) + + + + + LightGrey + + + + LightGrey + + + + LightGrey + + + + LightGrey + + + 2pt + 2pt + 2pt + 2pt + + - 5.19589in + 5.94589in + + + + + + Textbox11 + + + #ff1037 + 2pt + 2pt + 2pt + 2pt + + + + @@ -255,6 +295,41 @@ 0.25in + + + + true + true + + + + + =Fields!Codigo.Value + + + + + + + Codigo + + + 2pt + 2pt + 2pt + 2pt + + + + @@ -466,6 +541,7 @@ + @@ -481,8 +557,8 @@ DsOC 3.49009in 0.13746in - 0.5in - 7.1093in + 0.5625in + 7.22235in @@ -1245,12 +1321,12 @@ 2pt - + 6.36333in - External - =Parameters!FirmaAutorizo.Value + Database + =System.Convert.FromBase64String(Parameters!FirmaAutorizo.Value) + image/png Fit 8.83297cm 12.49243cm @@ -2312,8 +2313,9 @@ - External - =Parameters!FirmaSolicito.Value + Database + =System.Convert.FromBase64String(Parameters!FirmaSolicito.Value) + image/png Fit 8.83297cm 4.23541cm @@ -2564,7 +2566,7 @@ Textbox20 - 7.05666cm + 7.97741cm 16.12454cm 0.45183cm 2.06968cm @@ -2676,7 +2678,7 @@ Textbox20 - 7.05666cm + 7.97741cm 18.1942cm 0.45183cm 2.26019cm @@ -2730,7 +2732,7 @@ Textbox46 - 7.05666cm + 7.97741cm 0.19601cm 0.45183cm 15.92855cm @@ -3026,6 +3028,226 @@ 2pt + + true + true + + + + + Ret IVA + + + + + + + Textbox20 + 7.05964cm + 16.13311cm + 0.45183cm + 2.0717cm + 43 + + =Microsoft.VisualBasic.Interaction.iif(Parameters!RetIVA.Value > 0, False, True) + + + + + LightGrey + + + + LightGrey + + + + LightGrey + + + + LightGrey + + + 2pt + 2pt + 2pt + 2pt + + + + true + true + + + + + =Parameters!RetIVA.Value + + + + + + + Textbox20 + 7.05964cm + 18.1942cm + 0.45183cm + 2.25666cm + 44 + + =Microsoft.VisualBasic.Interaction.iif(Parameters!RetIVA.Value > 0, False, True) + + + + + LightGrey + + + + LightGrey + + + + LightGrey + + + + LightGrey + + + 2pt + 2pt + 2pt + 2pt + + + + true + true + + + + + Ret ISR + + + + + + + Textbox20 + 7.515cm + 16.12454cm + 0.45183cm + 2.08027cm + 45 + + =Microsoft.VisualBasic.Interaction.iif(Parameters!RetISR.Value > 0, False, True) + + + + + LightGrey + + + + LightGrey + + + + LightGrey + + + + LightGrey + + + 2pt + 2pt + 2pt + 2pt + + + + true + true + + + + + =Parameters!RetISR.Value + + + + + + + Textbox20 + 7.515cm + 18.1942cm + 0.45183cm + 2.26019cm + 46 + + =Microsoft.VisualBasic.Interaction.iif(Parameters!RetISR.Value > 0, False, True) + + + + + LightGrey + + + + LightGrey + + + + LightGrey + + + + LightGrey + + + 2pt + 2pt + 2pt + 2pt + + 5.1933in + + + O + diff --git a/Inventarios/TraspasoAlmacen.aspx b/Inventarios/TraspasoAlmacen.aspx index 54598e5a1..08708cf35 100644 --- a/Inventarios/TraspasoAlmacen.aspx +++ b/Inventarios/TraspasoAlmacen.aspx @@ -157,8 +157,18 @@ - - + + + + + + + +
+ + + + diff --git a/Inventarios/TraspasoAlmacen.aspx.vb b/Inventarios/TraspasoAlmacen.aspx.vb index a9cb7ff99..7c9afd83a 100644 --- a/Inventarios/TraspasoAlmacen.aspx.vb +++ b/Inventarios/TraspasoAlmacen.aspx.vb @@ -215,8 +215,14 @@ Partial Class Inventarios_TraspasoAlmacen If UsuarioActual.CveEmpresa.Contiene(1, 119, 140, 2) Then DivEmitirTimbrado.Visible = True - LblEmitirTimbrado.Visible = True - ChkEmitirTimbrado.Checked = True + + If UsuarioActual.Empresa.Funcionalidad(161) = "1" Then + LblEmitirTimbrado.Visible = True + ChkEmitirTimbrado.Checked = True + End If + + + ChkEmitirCartaPorte.Visible = True Dim HabilitarValidators As Boolean = UsuarioActual.CveEmpresa.Contiene(119) RfvDdlChofer.Enabled = HabilitarValidators @@ -702,6 +708,7 @@ Partial Class Inventarios_TraspasoAlmacen registro.Item("Noidentificacion") = DrPS("Codigo") registro.Item("CuentaPredial") = "" registro.Item("Obs") = "" + registro.Item("ImporteIVA") = 0 registro.Item("PorcentajeIVA") = 0 registro("ClaveMaterialPeligroso") = DrPS("ClaveMaterialPeligroso") @@ -747,6 +754,24 @@ Partial Class Inventarios_TraspasoAlmacen #Region " GUARDAR " Protected Sub BtnGuardar_Click(sender As Object, e As EventArgs) Handles BtnGuardar.Click + + + If ChkEmitirTimbrado.Checked Then + + If DdlChofer.SelectedValue.ToEntero <= 0 Then + Alert("Debe de seleccionar un chofer") + Exit Sub + End If + + + If DdlUnidadCamion.SelectedValue.ToEntero <= 0 Then + Alert("Debe de seleccionar una unidad") + Exit Sub + End If + + + End If + 'VALIDA ALMACEN ORIGEN Y DESTINO If DdlAlmacenOrigen.SelectedValue = DdlAlmacenDestino.SelectedValue Then Alert("No se puede realizar un traspaso entre el mismo almacén.", TipoMensaje.MsgAdvertencia) @@ -1147,8 +1172,34 @@ Partial Class Inventarios_TraspasoAlmacen ' End If 'End If + Dim SerieInsertadaTimbre As String = "" + Dim FolioInsertadoTimbre As Integer = -1 + Dim CveTimbre As Integer = -1 + If Not ErrorMovInv Then + + If ChkEmitirTimbrado.Checked Then + Dim ObjGral As New ClsGenerales(ObjInventario.IniciaTransacSQL) + Dim CveSubProyectoTimbre As Integer = GlobalDTAlmacen(UsuarioActual.CveEmpresa).FiltraParametros($"CveAlmacen = {DdlAlmacenOrigen.SelectedValue}").Rows(0)("CveSubProyecto").ToString.ToEntero + + CveTimbre = ObjGral.AddGralTimbre("Tra", "-1", -1, "", MinFecha, -1, CveMovimientoSalida, UsuarioActual.CveUsuario, UsuarioActual.CveEmpresa, 0, -1, ChkEmitirCartaPorte.Checked, CveSubProyectoTimbre, -1, -1, DdlChofer.SelectedValue.ToEntero, DdlUnidadCamion.SelectedValue.ToEntero, TxtFechaEntrega.Text.ToDateTime) + + If CveTimbre > 0 Then + SerieInsertadaTimbre = ObjGral.SerieInsertada + FolioInsertadoTimbre = ObjGral.FolioInsertado + Else + ErrorMovInv = True + End If + + End If + + + End If + + + If Not ErrorMovInv Then DtTraslado = DtMovimientos.Copy + ObjInventario.Commit() MensajeAlert = New StringBuilder @@ -1165,7 +1216,10 @@ Partial Class Inventarios_TraspasoAlmacen End If - If ChkEmitirTimbrado.Checked AndAlso ChkTransitorio.Checked Then CveMovimientoTimbrado = CveMovimientoSalida : Timbrar() + If ChkEmitirTimbrado.Checked Then + CveMovimientoTimbrado = CveMovimientoSalida + Timbrar(CveTimbre, CveMovimientoTimbrado) + End If Alert(MensajeAlert.ToString, TipoMensaje.MsgInformacion, "") @@ -2667,12 +2721,19 @@ Partial Class Inventarios_TraspasoAlmacen ObjFactura.Inv_CveMovimiento = CveMovimientoTimbrado - If UsuarioActual.Empresa.Funcionalidad(161) = "1" Then + 'If UsuarioActual.Empresa.Funcionalidad(161) = "1" Then + ' ObjFactura.Timbre = PreParaTimbreCartaPorte(ObjFactura) + 'Else + ' ObjFactura.Timbre = PreParaTimbre(ObjFactura) + 'End If + + If ChkEmitirCartaPorte.Checked Then ObjFactura.Timbre = PreParaTimbreCartaPorte(ObjFactura) Else ObjFactura.Timbre = PreParaTimbre(ObjFactura) End If + End Sub Private Function PreParaTimbreCartaPorte(Obj As Modelos.Factura) As CFDITimbre Dim Timbre As New CFDITimbre @@ -3009,45 +3070,92 @@ Partial Class Inventarios_TraspasoAlmacen TmpDTComplementosTimbrado.Rows.Add(Row2) End Sub - Private Sub Timbrar() - CreaObjetosVenta() - Dim ObjTimbrado As New Timbrado - Dim FM As New Modelos.FemsaFactura - Dim TmpDT7Eleven As New DataTable - Dim TmpDTComplementosTimbrado As New DataTable - PrepararTimbrado(FM, TmpDT7Eleven, TmpDTComplementosTimbrado) + + Private Sub Timbrar(CveTimbre As Integer, CveMovimientoTimbrado As Integer) + + + + Dim ObjTimbres As New Timbres() + + If Not ObjTimbres.CargarDatosRequeridos(CveTimbre, UsuarioActual) Then + Alert($"{ObjTimbres.MsgError.ToString}", TipoMensaje.MsgAdvertencia) + Exit Sub + End If + + MensajeAlert.Append("

") + If ObjTimbres.Timbrar() Then + + Try + PdfFactura(ObjTimbres.ObjFactura) + Catch ex As Exception + + End Try + - 'If TimbrarFacturaGoCFDIv33(ObjFactura, UsuarioActual, 4) <> "" Then - ' MensajeAlert.AppendFormat("
  • -- no timbró-{0}
", MensajeErrorCFDI) - 'End If - If ObjTimbrado.TimbrarFactura(UsuarioActual, ObjFactura) Then MensajeAlert.Append("Emitido con exito.") 'XML - Dim ArchivoXML = String.Format("{0}/XML/{1}/{2}.xml", UsuarioActual.Empresa.Ruta, ObjFactura.TipoDocto, ObjFactura.SerieFolio) + Dim ArchivoXML = String.Format("{0}/XML/{1}/{2}.xml", UsuarioActual.Empresa.Ruta, ObjTimbres.ObjFactura.TipoDocto, ObjTimbres.ObjFactura.SerieFolio) If File.Exists(ArchivoXML) Then - MensajeAlert.AppendFormat("", Encripta(String.Format("OP=DesXmlTra&CVEMOVIMIENTO={0}&EXT={1}&FOLIO={2}&TIPODOCTO={3}", CveMovimientoTimbrado, "XML", ObjFactura.SerieFolio, ObjFactura.TipoDocto))) + MensajeAlert.AppendFormat("", Encripta(String.Format("OP=DesXmlTra&CVEMOVIMIENTO={0}&EXT={1}&FOLIO={2}&TIPODOCTO={3}", CveMovimientoTimbrado, "XML", ObjTimbres.ObjFactura.SerieFolio, ObjTimbres.ObjFactura.TipoDocto))) End If 'PDF - GeneraPDFFactura() - Dim ArchivoPDF = String.Format("{0}/PDF/{1}/{2}.pdf", UsuarioActual.Empresa.Ruta, ObjFactura.TipoDocto, ObjFactura.SerieFolio) + Dim ArchivoPDF = String.Format("{0}/PDF/{1}/{2}.pdf", UsuarioActual.Empresa.Ruta, ObjTimbres.ObjFactura.TipoDocto, ObjTimbres.ObjFactura.SerieFolio) If File.Exists(ArchivoPDF) Then - MensajeAlert.AppendFormat("", Encripta(String.Format("OP=DesPdfTra&CVEMOVIMIENTO={0}&EXT={1}&FOLIO={2}&TIPODOCTO={3}", CveMovimientoTimbrado, "PDF", ObjFactura.SerieFolio, ObjFactura.TipoDocto))) + MensajeAlert.AppendFormat("", Encripta(String.Format("OP=DesPdfTra&CVEMOVIMIENTO={0}&EXT={1}&FOLIO={2}&TIPODOCTO={3}", CveMovimientoTimbrado, "PDF", ObjTimbres.ObjFactura.SerieFolio, ObjTimbres.ObjFactura.TipoDocto))) End If If UsuarioActual.Empresa.Funcionalidad(161) = "1" Then - MensajeAlert.AppendFormat("", Encripta(String.Format("OP=CARPOTIMBRE&CVEMOV={0}", CveMovimientoTimbrado))) + MensajeAlert.AppendFormat("", Encripta(String.Format("OP=CARPOTIMBRE&CVETIMBRE={0}", CveTimbre))) Else MensajeAlert.AppendFormat("", Encripta(String.Format("OP=CARPO&CVEMOV={0}", CveMovimientoTimbrado))) End If Else - MensajeAlert.AppendFormat("
  • {0}
", ObjTimbrado.MensajeErrorCFDI) + MensajeAlert.AppendFormat("
  • {0}
", ObjTimbres.MsgError.ToString) End If End Sub + + 'Private Sub Timbrar() + + ' CreaObjetosVenta() + ' Dim ObjTimbrado As New Timbrado + ' Dim FM As New Modelos.FemsaFactura + ' Dim TmpDT7Eleven As New DataTable + ' Dim TmpDTComplementosTimbrado As New DataTable + ' PrepararTimbrado(FM, TmpDT7Eleven, TmpDTComplementosTimbrado) + ' MensajeAlert.Append("

") + + + ' If ObjTimbrado.TimbrarFactura(UsuarioActual, ObjFactura) Then + ' MensajeAlert.Append("Emitido con exito.") + ' 'XML + ' Dim ArchivoXML = String.Format("{0}/XML/{1}/{2}.xml", UsuarioActual.Empresa.Ruta, ObjFactura.TipoDocto, ObjFactura.SerieFolio) + ' If File.Exists(ArchivoXML) Then + ' MensajeAlert.AppendFormat("", Encripta(String.Format("OP=DesXmlTra&CVEMOVIMIENTO={0}&EXT={1}&FOLIO={2}&TIPODOCTO={3}", CveMovimientoTimbrado, "XML", ObjFactura.SerieFolio, ObjFactura.TipoDocto))) + ' End If + ' 'PDF + ' 'GeneraPDFFactura() + ' Dim ArchivoPDF = String.Format("{0}/PDF/{1}/{2}.pdf", UsuarioActual.Empresa.Ruta, ObjFactura.TipoDocto, ObjFactura.SerieFolio) + ' If File.Exists(ArchivoPDF) Then + ' MensajeAlert.AppendFormat("", Encripta(String.Format("OP=DesPdfTra&CVEMOVIMIENTO={0}&EXT={1}&FOLIO={2}&TIPODOCTO={3}", CveMovimientoTimbrado, "PDF", ObjFactura.SerieFolio, ObjFactura.TipoDocto))) + ' End If + + ' If UsuarioActual.Empresa.Funcionalidad(161) = "1" Then + ' MensajeAlert.AppendFormat("", Encripta(String.Format("OP=CARPOTIMBRE&CVEMOV={0}", CveMovimientoTimbrado))) + ' Else + ' MensajeAlert.AppendFormat("", Encripta(String.Format("OP=CARPO&CVEMOV={0}", CveMovimientoTimbrado))) + ' End If + + ' Else + ' MensajeAlert.AppendFormat("
  • {0}
", ObjTimbrado.MensajeErrorCFDI) + ' End If + + 'End Sub + Private Sub GeneraPDFFactura() Try PdfFactura(ObjFactura) @@ -3365,4 +3473,714 @@ Partial Class Inventarios_TraspasoAlmacen End If End Sub + Protected Sub ChkEmitirTimbrado_CheckedChanged(sender As Object, e As EventArgs) + + If ChkEmitirTimbrado.Checked Then + ChkEmitirCartaPorte.Checked = False + ChkEmitirCartaPorte.Visible = True + Else + ChkEmitirCartaPorte.Visible = False + ChkEmitirCartaPorte.Checked = False + End If + + + + End Sub End Class + + + + +Partial Class Timbres + + + + Public Property TieneError As Boolean + Public Property MsgError As StringBuilder + Public Property MensajeAlert As StringBuilder + + Private Property CvePaqueteriaGuia As Integer + Private Property CveMovimiento As Integer + Private Property UsuarioActual As Usuario + Private Property AplicaCP As Boolean + Private Property FechaEntrega As Date + Private Property CveSubProyectoOrigen As Integer + + Public Property SubProyectoMatriz As Modelos.SubProyectoModel + Public Property SubProyecto As Modelos.SubProyectoModel + + Private Property Serie As String + Private Property Folio As Integer + Private Property CveTimbre As Integer + + Private Property GlobalDTMonedas As DataTable + Private Property GlobalDTAlmacen As DataTable + Private Property DTCamiones As DataTable + 'Private Property GlobalDTPS As DataTable + Private Property DtMovimientos As DataTable + 'Private Property GlobalDTUnidadesMedida As DataTable + Private Property GlobalDTSubProyectos As DataTable + + Private Property CveAlmacenOrigen As Integer + Private Property CveAlmacenDestico As Integer + + + + + Private Property TipoPermisoSCT As String + Private Property NumPermisoSCT As String + Private Property NombreAseguradora As String + Private Property NumPolizaSeguro As String + Private Property ConfigCartaPorte As String + Private Property Placa As String + Private Property Anio As Integer + + + Private Property CPCliente As Integer + + Private Property DirOriCP As Integer + Private Property DirOriCalle As String + Private Property DirOriClaveSATPais As String + Private Property DirOriClaveSATEstado As String + Private Property DirOriClaveSATMunicipio As String + Private Property DirOriClaveSATLocalidad As String + Private Property DirOriClaveSATColonia As String + + Private Property DirDesCP As Integer + Private Property DirDesCalle As String + Private Property DirDesClaveSATPais As String + Private Property DirDesClaveSATEstado As String + Private Property DirDesClaveSATMunicipio As String + Private Property DirDesClaveSATLocalidad As String + Private Property DirDesClaveSATColonia As String + + + Private Property ChrDomicilio As String + Private Property ChrCP As String + Private Property ChrNumeroExterior As String + Private Property ChrNumeroInterior As String + Private Property ChrClaveSATColonia As String + Private Property ChrClaveSATMunicipio As String + Private Property ChrClaveSATEstado As String + Private Property ChrChofer As String + Private Property ChrLicencia As String + Private Property ChrNumRegidTribOperador As String + Private Property ChrResidenciaFiscalOperador As String + Private Property ChrRFC As String + + + + + + Public Property ObjFactura As Modelos.Factura + + + 'Public Sub New(CveMovimiento As Integer, CvePaqueteriaGuia As Integer, CveTimbre As Integer, UsuarioActual As Usuario, + ' GlobalDTMonedas As DataTable, GlobalDTAlmacen As DataTable, GlobalDTPS As DataTable, GlobalDTUnidadesMedida As DataTable, GlobalDTSubProyectos As DataTable) + Public Sub New() + End Sub + + + + Private Sub CreaObjetosVenta() + ObjFactura = New Modelos.Factura + ObjFactura.Version = "3.3" + ObjFactura.CveUsuario = UsuarioActual.CveUsuario + ObjFactura.CveEmpresa = UsuarioActual.CveEmpresa + 'ObjFactura.TipoCambio = 1 + ObjFactura.ConvertirPesos = False + ObjFactura.CveMoneda = 1 + ObjFactura.Moneda = GlobalDTMonedas.FiltroPrimeroValor("Moneda", $"CveMoneda = {ObjFactura.CveMoneda} ") + ObjFactura.MonedaSAT = GlobalDTMonedas.FiltroPrimeroValor("AbreviaturaSAT", "CveMoneda = 1") '"XXX" + ObjFactura.MonedaAbreviatura = GlobalDTMonedas.FiltroPrimeroValor("Abreviatura", $"CveMoneda = {ObjFactura.CveMoneda} ") + ObjFactura.TipoDocto = "Tra" + ObjFactura.RefDocto = "" + + ObjFactura.Folio = Folio + ObjFactura.Serie = Serie + + ObjFactura.CveMesa = -1 + ObjFactura.Fecha = Now + ObjFactura.CvePrePoliza = -1 + ObjFactura.FechaPago = Now + ObjFactura.MotivoDescuento = "" + ObjFactura.Observaciones = "" + ObjFactura.FechaEjecucion = Now + ObjFactura.UsuarioCreo = UsuarioActual.Usuario + ObjFactura.CveCondicionEntrega = -1 + ObjFactura.CondicionEntrega = "" + ObjFactura.NumeroCuenta = "" + ObjFactura.CondicionesPago = 0 + ObjFactura.FormaPago = 0 + ObjFactura.PedidoContrato = "" + ObjFactura.OrdenCompra = "" + ObjFactura.NumeroContrato = "" + ObjFactura.NumeroDescripcionContrato = "" + ObjFactura.DescripcionContrato = "" + ObjFactura.CveCorte = -1 + ObjFactura.TipoDocumento = "Traspaso" + ObjFactura.Alfa1 = "" + ObjFactura.Alfa2 = "" + ObjFactura.Alfa3 = "" + ObjFactura.Descuento = 0 + ObjFactura.Amortizacion = 0 + ObjFactura.CveContrato = 0 + ObjFactura.CveVendedor = 0 + ObjFactura.FechaVencimiento = Now + ObjFactura.TipoEstatus = 0 + ObjFactura.Det_OrdenCompra = "" + ObjFactura.Inv_CveEstatusEntrega = 0 + ObjFactura.FormaPago33 = "" + ObjFactura.MetodoPago33 = "" + ObjFactura.UsoCFDI = "" + ObjFactura.CveClienteSucursal = 0 + + + + + ObjFactura.CveSubProyecto = CveSubProyectoOrigen + ObjFactura.CveSubProyectoCobranza = CveSubProyectoOrigen + ObjFactura.CveSubProyectoEjecucion = CveSubProyectoOrigen + + ObjFactura.SubTotal = 0 + ObjFactura.Descuento = 0 + ObjFactura.Amortizacion = 0 + ObjFactura.IVA = 0 + ObjFactura.RetIVA = 0 + ObjFactura.RetISR = 0 + ObjFactura.IEPS = 0 + ObjFactura.Total = 0 + + ObjFactura.RFCReceptor = "XAXX010101000" ' RFC empresa traslado , si es entrega RFC Cliente + + 'DETALLES + ObjFactura.DtDetalle = DtMovimientos + + + ObjFactura.SubProyectoMatriz = SubProyectoMatriz + ObjFactura.SubProyecto = SubProyecto + + ObjFactura.Inv_CveMovimiento = CveMovimiento + + If AplicaCP Then + ObjFactura.Timbre = PreParaTimbreCartaPorte(ObjFactura) + Else + ObjFactura.Timbre = PreParaTimbre(ObjFactura) + End If + + + End Sub + + Private Function PreParaTimbreCartaPorte(Obj As Modelos.Factura) As CFDITimbre + Dim Timbre As New CFDITimbre + Timbre.Comprobante.TipoComprobante = "T" + Timbre.Comprobante.Folio = Obj.Folio.ToString + Timbre.Comprobante.Serie = Obj.Serie + Timbre.Comprobante.Fecha = Obj.Fecha + Timbre.Comprobante.FormadePago = Obj.FormaPagoSAT33 + Timbre.Comprobante.CondicionesdePago = "" + Timbre.Comprobante.MetodoPago = Obj.ClaveMetodoPagoSAT + Timbre.Comprobante.Subtotal = Obj.SubTotal + Timbre.Comprobante.Descuentos = Obj.Descuento + Timbre.Comprobante.Moneda = "XXX" + Timbre.Comprobante.TipoCambio = "" ' CONDICIÓN SI LA MONEDA ES 'XXX' + + 'Timbre.Comprobante.LugarExpedicion = Obj.SubProyecto.CP + Timbre.Comprobante.Confirmacion = "" + + Timbre.Receptor.RFC = UsuarioActual.Empresa.RFC + Timbre.Receptor.Nombre = UsuarioActual.Empresa.Empresa + Timbre.Receptor.UsoCFDI = "P01" + + + Dim totSubTotal As Decimal = Obj.SubTotal + Dim totIVA As Decimal = Obj.IVA + Dim totRetIVA As Decimal = Obj.RetIVA + Dim totRetISR As Decimal = Obj.RetISR + Dim i As Integer = 1 + + + If CveMovimiento > 0 Then + Timbre.Comprobante.LugarExpedicion = UsuarioActual.Empresa.CP.ToString + Else + Timbre.Comprobante.LugarExpedicion = CPCliente.ToString + End If + + + 'DETALLES + Dim tPS As String = "" + + Dim CartaPorte As New CFDICartaPorte + CartaPorte.TranspInternac = "No" + CartaPorte.EntradaSalidaMercancia = "" + CartaPorte.ViaEntradaSalida = "" + + CartaPorte.Mercancias.PesoBrutoTotal = 0 + CartaPorte.Mercancias.UnidadPeso = "" + CartaPorte.Mercancias.CargoporTasacion = 0 + + CartaPorte.FiguraTransporte.AutoTransporteFederal.PermSCT = TipoPermisoSCT '"TPAF01" + CartaPorte.FiguraTransporte.AutoTransporteFederal.NumPermisoSCT = NumPermisoSCT + CartaPorte.FiguraTransporte.AutoTransporteFederal.NombreAseg = NombreAseguradora + CartaPorte.FiguraTransporte.AutoTransporteFederal.NumPolizaSeguro = NumPolizaSeguro + CartaPorte.FiguraTransporte.AutoTransporteFederal.Vehiculo.ConfigVehicular = ConfigCartaPorte '"C2" + CartaPorte.FiguraTransporte.AutoTransporteFederal.Vehiculo.PlacaVM = Placa + CartaPorte.FiguraTransporte.AutoTransporteFederal.Vehiculo.AnioModeloVM = Anio + + Dim DomOrigen As CFDICartaPorteDomicilio = Nothing + DomOrigen = New CFDICartaPorteDomicilio With {.Calle = DirOriCalle, + .Colonia = DirOriClaveSATColonia, + .CP = DirOriCP.ToString, + .Estado = DirOriClaveSATEstado, + .Pais = DirOriClaveSATPais, + .Municipio = DirOriClaveSATMunicipio, + .Localidad = DirOriClaveSATLocalidad} + + Dim DomDestino As CFDICartaPorteDomicilio = Nothing + + + DomDestino = New CFDICartaPorteDomicilio With {.Calle = DirDesCalle, + .Colonia = DirDesClaveSATColonia, + .CP = DirDesCP.ToString, + .Estado = DirDesClaveSATEstado, + .Pais = DirDesClaveSATPais, + .Municipio = DirDesClaveSATMunicipio, + .Localidad = DirDesClaveSATLocalidad} + + + Dim Ubica As New CFDICartaPorteUbicaciones + Ubica.TipoEstacion = "" + Ubica.DistanciaRecorridaDestino = 1 + Ubica.Origen = New CFDICartaPorteUbicacionOrigen With {.RFCRemitente = "",'UsuarioActual.Empresa.RFC, + .FechaHoraSalida = Now.ToString("yyyy-MM-ddTHH:mm:ss"),' "2021-08-23T11:13:01", + .NombreRemitente = UsuarioActual.Empresa.Empresa, + .Domicilio = DomOrigen} + Ubica.Destino = New CFDICartaPorteUbicacionDestino With {.RFCDestinatario = "",'UsuarioActual.Empresa.RFC,'"CAMJ841219I33", + .FechaHoraProgLlegada = FechaEntrega.ToString("yyyy-MM-ddT23:59:59"), + .NombreDestinatario = UsuarioActual.Empresa.Empresa, + .Domicilio = DomDestino} + + CartaPorte.Ubicaciones.Add(Ubica) + + CartaPorte.FiguraTransporte.ClaveTransporte = "01" + + Dim ObjAcar As New ClsAcarreos() + + ' If ObjAcar.GetChofer(DdlChofer.SelectedValue.ToEntero, UsuarioActual.CveEmpresa, 1, -1) Then + 'Dim dro As DataRow = ObjAcar.DtResultados.Rows(0) + 'If dro IsNot Nothing Then + Dim DomicilioOperador As New CFDICartaPorteDomicilio With {.Calle = ChrDomicilio, + .NumeroExterior = ChrNumeroExterior, + .NumeroInterior = ChrNumeroInterior, + .Colonia = ChrClaveSATColonia, + .Municipio = ChrClaveSATMunicipio, + .Estado = ChrClaveSATEstado, + .CP = ChrCP} + + CartaPorte.FiguraTransporte.Operadores.Add(New CFDICartaPorteOperador With { + .RFCOperador = ChrRFC, + .NombreOperador = ChrChofer, + .NumLicencia = ChrLicencia, + .NumRegidTribOperador = ChrNumRegidTribOperador, + .ResidenciaFiscalOperador = ChrResidenciaFiscalOperador, + .Domicilio = DomicilioOperador}) + + 'End If + ' End If + ObjAcar.Dispose() + + + 'concepto único + + Dim concepto As New CFDIConceptos With {.Cantidad = 1, + .Descripcion = "Flete", + .ValorUnitario = 0, + .Importe = 0, + .Descuento = 0, + .Unidad = "Servicio", + .ClaveUnidad = "E48", + .ClaveProdServ = "78101802", + .Noidentificacion = "", + .CuentaPredial = ""} + + Timbre.Conceptos.Add(concepto) + + For Each drr As DataRow In Obj.DtDetalle.Rows + + If drr("PS").ToString.Length = 1 Then + tPS = drr("Obs").ToString + Else + If drr("PS").ToString.Length = 0 Then + tPS = "" + Else + tPS = String.Format("{0} {1}", drr("PS"), drr("Obs")) + End If + End If + Dim conceptoCarta As New CFDICartaPorteMercancia With { + .BienesTransp = drr("SATClaveProdServ").ToString, + .ClaveSTCC = "", 'para metodo ferroviario + .Cantidad = drr("Cantidad").ToString.ToDecimal, + .Descripción = tPS, + .ClaveUnidad = drr("SATClaveUM").ToString, + .Unidad = drr("UM").ToString, + .Dimensiones = "", + .MaterialPeligroso = If(drr("ClaveMaterialPeligroso").ToString <> "", "Sí", "No"), + .ClaveMaterialPeligroso = drr("ClaveMaterialPeligroso").ToString, + .Embalaje = drr("ClaveEmbalaje").ToString, + .DescripEmbalaje = drr("Embalaje").ToString, + .PesoenKg = drr("PesoKg").ToString.ToDecimal, + .ValorMercancia = drr("PU").ToString.ToDecimal, + .Moneda = "MXN", 'temporal + .FraccionArrancelaria = "", + .UUIDComercioExt = "" + } + + + totSubTotal = totSubTotal - concepto.Importe + CartaPorte.Mercancias.Mercancias.Add(conceptoCarta) + + i += 1 + Next + Timbre.Complementos.CartaPorte = CartaPorte + + Return Timbre + End Function + + Private Function PreParaTimbre(Obj As Modelos.Factura) As CFDITimbre + Dim Timbre As New CFDITimbre + Timbre.Comprobante.TipoComprobante = "T" + Timbre.Comprobante.Folio = Obj.Folio.ToString + Timbre.Comprobante.Serie = Obj.Serie + Timbre.Comprobante.Fecha = Obj.Fecha + Timbre.Comprobante.FormadePago = Obj.FormaPagoSAT33 + Timbre.Comprobante.CondicionesdePago = "" + Timbre.Comprobante.MetodoPago = Obj.ClaveMetodoPagoSAT + Timbre.Comprobante.Subtotal = Obj.SubTotal + Timbre.Comprobante.Descuentos = Obj.Descuento + Timbre.Comprobante.Moneda = Obj.MonedaSAT + Timbre.Comprobante.TipoCambio = If(Obj.CveMoneda = 1, "1", Obj.TipoCambio.ToString) + Timbre.Comprobante.Total = Obj.Total + + If CveMovimiento > 0 Then + Timbre.Comprobante.LugarExpedicion = UsuarioActual.Empresa.CP.ToString + Else + Timbre.Comprobante.LugarExpedicion = CPCliente.ToString + End If + + Timbre.Comprobante.Confirmacion = "" + + Timbre.Receptor.RFC = "XAXX010101000" + Timbre.Receptor.Nombre = UsuarioActual.Empresa.Empresa + Timbre.Receptor.UsoCFDI = "P01" + + Dim totSubTotal As Decimal = Obj.SubTotal + Dim totIVA As Decimal = Obj.IVA + Dim totRetIVA As Decimal = Obj.RetIVA + Dim totRetISR As Decimal = Obj.RetISR + Dim i As Integer = 1 + + 'DETALLES + Dim tPS As String = "" + + For Each drr As DataRow In Obj.DtDetalle.Rows + 'If drr("PS").ToString.Length = 1 Then + ' tPS = drr("Obs").ToString + 'Else + ' If drr("PS").ToString.Length = 0 Then + ' tPS = "" + ' Else + ' tPS = String.Format("{0} {1}", drr("PS"), drr("Obs")) + ' End If + 'End If + + If drr("PS").ToString.Length = 1 Then + tPS = drr("Obs").ToString + Else + If drr("PS").ToString.Length = 0 Then + tPS = "" + Else + tPS = String.Format("{0} {1}", drr("PS"), drr("Obs")) + End If + End If + + + 'Observaciones + + 'CONDICIONANTE, ESPECIAL + If UsuarioActual.CveEmpresa = 15 Then drr("UM") = "" 'LES COMENTAN QUE NO DEBE IR LA ETIQUETA DE LA UNIDAD EN EL PRODUCTO + + Dim concepto As New CFDIConceptos With {.Cantidad = drr("Cantidad").ToString.ToDecimal, + .Descripcion = tPS, + .ValorUnitario = drr("PU").ToString.ToDecimal, + .Importe = drr("TotalImporte").ToString.ToDecimal, + .Descuento = drr("Descuento").ToString.ToDecimal, + .Unidad = drr("UM").ToString, + .ClaveUnidad = drr("SATClaveUM").ToString, + .ClaveProdServ = drr("SATClaveProdServ").ToString, + .Noidentificacion = drr("Noidentificacion").ToString, + .CuentaPredial = drr("CuentaPredial").ToString} + 'VERIFICA SUMA SUBTOTALES + If i = Obj.DtDetalle.Rows.Count AndAlso totSubTotal <> concepto.Importe Then 'PROCESO DE AJUSTA DE DECIMALES + concepto.Importe = totSubTotal + End If + totSubTotal = totSubTotal - concepto.Importe + + 'SIEMPRE ESTAMOS AGREGANDO EL IVA + 'concepto.Impuestos.Add(New CFDIConceptosImpuestos With {.TrasladooRetencion = "T", .Base = concepto.Importe - concepto.Descuento, .TasaOCuota = drr("PorcentajeIVA").ToString.ToDecimal, .Impuesto = "002", .Importe = drr("ImporteIVA").ToString.ToDecimal}) + + Timbre.Conceptos.Add(concepto) + i += 1 + Next + Return Timbre + End Function + Private Sub PrepararTimbrado(ByRef FM As Modelos.FemsaFactura, ByRef TmpDT7Eleven As DataTable, ByRef TmpDTComplementosTimbrado As DataTable) + FM.AplicaFEMSA = False + FM.FEMSA_NumSociedad = "" + FM.FEMSA_NumProveedor = "" + FM.FEMSA_Mail = "" + FM.FEMSA_Version = 0 + FM.FEMSA_NumPedido = 0 + FM.FEMSA_NumEntrada = "" + FM.FEMSA_NumRemision = "" + FM.FEMSA_NumSocio = "" + FM.FEMSA_CentroCosto = "" + FM.FEMSA_IPeriodoLiquidacion = "" + FM.FEMSA_FPeriodoLiquidacion = "" + FM.FEMSA_CodRetencion1 = "" + FM.FEMSA_CodRetencion2 = "" + + TmpDT7Eleven.Columns.Add("sevenElevenNumProveedor") + TmpDT7Eleven.Columns.Add("sevenElevenFolio") + TmpDT7Eleven.Columns.Add("sevenElevenTienda") + TmpDT7Eleven.Columns.Add("sevenElevenFecha") + + Dim Row As DataRow = TmpDT7Eleven.NewRow + Row("sevenElevenNumProveedor") = "" + Row("sevenElevenFolio") = "" + Row("sevenElevenTienda") = "" + Row("sevenElevenFecha") = "" + + TmpDT7Eleven.Rows.Add(Row) + + TmpDTComplementosTimbrado.Columns.Add("CveComplemento") + TmpDTComplementosTimbrado.Columns.Add("IdContabilidad") + TmpDTComplementosTimbrado.Columns.Add("TipoProceso") + TmpDTComplementosTimbrado.Columns.Add("TipoAmbito") + TmpDTComplementosTimbrado.Columns.Add("Entidad") + + Dim Row2 As DataRow = TmpDTComplementosTimbrado.NewRow + + Row2("CveComplemento") = "" + Row2("IdContabilidad") = "" + Row2("TipoProceso") = "" + Row2("TipoAmbito") = "" + Row2("Entidad") = "" + + TmpDTComplementosTimbrado.Rows.Add(Row2) + End Sub + + Public Function Timbrar() As Boolean + + Dim Respuesta As Boolean = False + + CreaObjetosVenta() + Dim ObjTimbrado As New Timbrado + Dim FM As New Modelos.FemsaFactura + Dim TmpDT7Eleven As New DataTable + Dim TmpDTComplementosTimbrado As New DataTable + PrepararTimbrado(FM, TmpDT7Eleven, TmpDTComplementosTimbrado) + 'MensajeAlert.Append("

") + + + If ObjTimbrado.TimbrarFactura(UsuarioActual, ObjFactura) Then + Respuesta = True + + Dim objGrales As New ClsGenerales + If Not objGrales.UpdateGralTimbre(CveTimbre, "-1", "-1", -1, ObjTimbrado.UUID, Now, CvePaqueteriaGuia, CveMovimiento, UsuarioActual.CveUsuario, UsuarioActual.CveEmpresa, 1, UsuarioActual.Empresa.CvePAC, -1, New Date(1900, 1, 1), AplicaCP, -1, -1, -1, -1, -1) Then + GuardaLogAD($"Error no se actualizo registro de timbre {CveTimbre} ") + End If + objGrales.Dispose() + + Else + Respuesta = False + ' MensajeAlert.AppendFormat("
  • {0}
", ObjTimbrado.MensajeErrorCFDI) + MsgError.AppendLine(ObjTimbrado.MensajeErrorCFDI) + End If + + Return Respuesta + + End Function + + + + + + Public Function CargarDatosRequeridos(CveTimbre As Integer, UsuarioActual As Usuario) As Boolean + + + + Me.CveTimbre = CveTimbre + Me.UsuarioActual = UsuarioActual + + + TieneError = False + MsgError = New StringBuilder + MensajeAlert = New StringBuilder + + + Using ObjMonedas As New ClsMonedas() + If ObjMonedas.GetMonedas() Then + Me.GlobalDTMonedas = ObjMonedas.DtResultados + Else + Me.GlobalDTMonedas = Nothing + TieneError = True + MsgError.AppendLine("Se presento error al cargar las monedas") + End If + End Using + + Using ObjAlmacenes As New ClsInventarios() + If ObjAlmacenes.GetAlmacenes(-1, -1, UsuarioActual.CveEmpresa, -1) Then + Me.GlobalDTAlmacen = ObjAlmacenes.DtResultados + Else + Me.GlobalDTAlmacen = Nothing + TieneError = True + MsgError.AppendLine("Se presento error al cargar los almacenes") + End If + End Using + + + Using ObjSubPro As New ClsSubProyectos() + If ObjSubPro.GetSubProyectos(CveEmpresa:=UsuarioActual.CveEmpresa) Then + GlobalDTSubProyectos = ObjSubPro.DtResultados + Else + GlobalDTSubProyectos = Nothing + TieneError = True + MsgError.AppendLine("Se presento error al cargar los subproyectos") + End If + End Using + + + + Dim FI As Date = New Date(1900, 1, 1) + Dim FF As Date = New Date(9999, 1, 1) + + Dim ObjGrales As New ClsGenerales + + If CveTimbre > 0 Then + + If ObjGrales.GetGralTimbre(CveTimbre, "-1", "-1", -1, FI, FF, 0, UsuarioActual.CveEmpresa, -1, -1) Then + + + If ObjGrales.DtResultados.Rows.Count = 1 Then + + + CveMovimiento = ObjGrales.DtResultados.Rows(0)("CveMovimientoAlmacen").ToString.ToEntero + CvePaqueteriaGuia = ObjGrales.DtResultados.Rows(0)("Folio").ToString.ToEntero + + FechaEntrega = ObjGrales.DtResultados.Rows(0)("FechaEntrega").ToString.ToDate + + Serie = ObjGrales.DtResultados.Rows(0)("Serie").ToString + Folio = ObjGrales.DtResultados.Rows(0)("Folio").ToString.ToEntero + + AplicaCP = Boolean.Parse(ObjGrales.DtResultados.Rows(0)("AplicaCP").ToString) + CveSubProyectoOrigen = ObjGrales.DtResultados.Rows(0)("CveSubProyectoOrigen").ToString.ToEntero + + TipoPermisoSCT = ObjGrales.DtResultados.Rows(0)("TipoPermisoSCT").ToString + NumPermisoSCT = ObjGrales.DtResultados.Rows(0)("NumPermisoSCT").ToString + NombreAseguradora = ObjGrales.DtResultados.Rows(0)("NombreAseguradora").ToString + NumPolizaSeguro = ObjGrales.DtResultados.Rows(0)("NumPolizaSeguro").ToString + ConfigCartaPorte = ObjGrales.DtResultados.Rows(0)("ConfigCartaPorte").ToString + Placa = ObjGrales.DtResultados.Rows(0)("Placa").ToString + Anio = ObjGrales.DtResultados.Rows(0)("Anio").ToString.ToEntero + + CPCliente = ObjGrales.DtResultados.Rows(0)("CPCliente").ToString.ToEntero + + DirOriCP = ObjGrales.DtResultados.Rows(0)("DirOriCP").ToString.ToEntero + DirOriCalle = ObjGrales.DtResultados.Rows(0)("DirOriCalle").ToString + DirOriClaveSATPais = ObjGrales.DtResultados.Rows(0)("DirOriClaveSATPais").ToString + DirOriClaveSATEstado = ObjGrales.DtResultados.Rows(0)("DirOriClaveSATEstado").ToString + DirOriClaveSATMunicipio = ObjGrales.DtResultados.Rows(0)("DIrOriClaveSATMunicipio").ToString + DirOriClaveSATLocalidad = ObjGrales.DtResultados.Rows(0)("DirOriClaveSATLocalidad").ToString + DirOriClaveSATColonia = ObjGrales.DtResultados.Rows(0)("DirOriClaveSATColonia").ToString + + DirDesCP = ObjGrales.DtResultados.Rows(0)("DirDesCP").ToString.ToEntero + DirDesCalle = ObjGrales.DtResultados.Rows(0)("DirDesCalle").ToString + DirDesClaveSATPais = ObjGrales.DtResultados.Rows(0)("DirDesClaveSATPais").ToString + DirDesClaveSATEstado = ObjGrales.DtResultados.Rows(0)("DirDesClaveSATEstado").ToString + DirDesClaveSATMunicipio = ObjGrales.DtResultados.Rows(0)("DirDesClaveSATMunicipio").ToString + DirDesClaveSATLocalidad = ObjGrales.DtResultados.Rows(0)("DirDesClaveSATLocalidad").ToString + DirDesClaveSATColonia = ObjGrales.DtResultados.Rows(0)("DirDesClaveSATColonia").ToString + + + + ChrDomicilio = ObjGrales.DtResultados.Rows(0)("ChrDomicilio").ToString + ChrCP = ObjGrales.DtResultados.Rows(0)("ChrCP").ToString + ChrNumeroExterior = ObjGrales.DtResultados.Rows(0)("ChrNumeroExterior").ToString + ChrNumeroInterior = ObjGrales.DtResultados.Rows(0)("ChrNumeroInterior").ToString + ChrClaveSATColonia = ObjGrales.DtResultados.Rows(0)("ChrClaveSATColonia").ToString + ChrClaveSATMunicipio = ObjGrales.DtResultados.Rows(0)("ChrClaveSATMunicipio").ToString + ChrClaveSATEstado = ObjGrales.DtResultados.Rows(0)("ChrClaveSATEstado").ToString + + ChrChofer = ObjGrales.DtResultados.Rows(0)("ChrChofer").ToString + ChrLicencia = ObjGrales.DtResultados.Rows(0)("ChrLicencia").ToString + ChrNumRegidTribOperador = ObjGrales.DtResultados.Rows(0)("ChrNumRegidTribOperador").ToString + ChrResidenciaFiscalOperador = ObjGrales.DtResultados.Rows(0)("ChrResidenciaFiscalOperador").ToString + ChrRFC = ObjGrales.DtResultados.Rows(0)("ChrRFC").ToString + + + Else + TieneError = True + MsgError.AppendLine("Consultar datos de timbrado") + End If + End If + Else + TieneError = True + MsgError.AppendLine("CveTimbre no valida") + End If + + + + + If ObjGrales.GetGralMovimientosDetalleTimbre(CveTimbre, UsuarioActual.CveEmpresa) Then + DtMovimientos = ObjGrales.DtResultados + Else + DtMovimientos = Nothing + TieneError = True + MsgError.AppendLine("Error al obtener Movimientos") + End If + ObjGrales.Dispose() + + + Dim ObjInventarios As New ClsInventarios + If ObjInventarios.GetCamiones(-1, UsuarioActual.CveEmpresa) AndAlso ObjInventarios.DtResultados.Rows.Count > 0 Then + DTCamiones = ObjInventarios.DtResultados + End If + + If ObjInventarios.GetMovimientos(CveMovimiento, -1, -1, UsuarioActual.CveEmpresa) Then + CveAlmacenOrigen = ObjInventarios.CveAlmacen + CveAlmacenDestico = ObjInventarios.CveAlmacenDestino + 'CveSubProyecto = ObjInventarios.CveSubProyecto + End If + + ObjInventarios.Dispose() + + + Dim Row As Data.DataRow = Extensiones.FiltroPrimero(GlobalDTSubProyectos, "TipoSucursal=1") + SubProyectoMatriz = New Modelos.SubProyectoModel(Row) + SubProyecto = New Modelos.SubProyectoModel(Extensiones.FiltroPrimero(GlobalDTSubProyectos, $"CveSubProyecto = {CveSubProyectoOrigen}")) + + If TieneError Then + Return False + Else + Return True + End If + + End Function + + + + + + +End Class + diff --git a/vwd.webinfo b/vwd.webinfo index 583dcacf8..bd5e347d3 100644 --- a/vwd.webinfo +++ b/vwd.webinfo @@ -344,6 +344,8 @@ + +