示例#1
0
            public WorkflowState Invoke(Tr tr, Tt tt) //decide if this should be here or in the workflow itself..
            {
                if (CanInvoke(tr, tt))
                {
                    var toState = ToState;

                    if (ToStateFunction != null)
                    {
                        toState = ToStateFunction(tr);//todo autofind it when accessing the propery as well?
                    }

                    var newWorkflowState = new WorkflowState(toState, Workflow.CurrentState.Initiator);
                    if (ResetInitiator)
                    {
                        newWorkflowState.Initiator = tr;
                    }

                    if (_onTransitioned != null)
                    {
                        _onTransitioned(this);
                    }

                    return(newWorkflowState);
                }

                return(null);
            }
示例#2
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 public Transition AllowInitiatorOnly(Tt t)
 {
     Trigger = t;
     AllowRoles.Clear();
     AllowRoles.Add(Workflow.CurrentState.Initiator);
     return(this);
 }
示例#3
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 public Transition Allow(List <Tr> roles, Tt t)
 {
     Trigger = t;
     AllowRoles.Clear();
     foreach (var r in roles)
     {
         AllowRoles.Add(r);
     }
     return(this);
 }
示例#4
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            public Transition AllowAll(Tt t)
            {
                Trigger = t;

                AllowRoles.Clear();
                foreach (var r in Enum.GetValues(typeof(Tr)))
                {
                    AllowRoles.Add((Tr)r);
                }
                return(this);
            }
示例#5
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            public bool CanInvoke(Tr tr, Tt tt)
            {
                if (AllowRoles.Contains(tr) && Trigger.GetHashCode() == tt.GetHashCode())
                {
                    if (GuardCondition == null)
                    {
                        return(true);
                    }
                    else if (GuardCondition != null && GuardCondition(tr))
                    {
                        return(true);
                    }
                    else
                    {
                        return(false);
                    }
                }

                return(false);
            }
示例#6
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        private void TransBtn_Click(object sender, System.EventArgs e)
        {
            if (MessageBox.Show(@"選択されているテキストを翻訳します。よろしいですか?
今入力されている変換後のテキストは上書きされます。", @"翻訳", MessageBoxButtons.OKCancel) != DialogResult.OK)
            {
                return;
            }

            foreach (DataGridViewRow row in FixationDGV.Rows)
            {
                if (row.Cells[0].Value == null)
                {
                    continue;
                }
                var t      = new Translation();
                var before = (string)row.Cells[1].Value;
                t.DownloadCallbackFunc = Tt =>
                {
                    row.Cells[2].Value = Tt.GetTransText();
                    return(Tt.GetTransText());
                };
                t.Translate(before, "en", "ja");
            }
        }
示例#7
0
        public static Matrix[] KalmanFilter(Matrix y, Matrix Z, Matrix d, Matrix T, Matrix c, Matrix a0,
                                            Matrix P0, Matrix H, Matrix Q, int timeVar)
        {
            /*
             *  function [a_smooth,P_smooth,P2_smooth] = Kalman_Smoothing(y,Z,d,T,c,a0,P0,H,Q,timevar)
             *  % Kalman smoothing
             *  % code is a Matlab translation of Thierry Roncalli's.
             *
             *  nobs = size(y,1);
             *  n    = size(y,2);
             *  at   = a0;
             *  Pt   = P0;
             *
             *
             *  if timevar == 1
             *      m=size(Z,2)/n;
             *      g=size(Q,2)/m;
             *  else
             *      m=size(Z,2);
             *      g=size(Q,2);
             *  end
             *
             *  a_cond   = zeros(nobs,m);
             *  a        = zeros(nobs,m);
             *  P_cond   = zeros(nobs,m*m);
             *  P        = zeros(nobs,m*m);
             *  a_smooth = zeros(nobs,m);
             *  P_smooth = zeros(nobs,m*m);
             *
             *  if timevar ~= 1 % then matrices are time invariant
             *    Zt=Z;
             *    dt=d;
             *    Ht=H;
             *    Tt=T;
             *    ct=c;
             *    %Rt=R;
             *    Qt=Q;
             *  end
             *
             *  for  i=1:nobs
             *
             *      yt=y(i,:)';                         % y(t)
             *
             *      if timevar == 1
             *        Zt=reshape(Z(i,:),n,m);           % Z(t)
             *        dt=d(i,:)';                       % d(t)
             *        Ht=reshape(H(i,:),n,n);           % H(t)
             *        Tt=reshape(T(i,:),m,m);           % T(t)
             *        ct=c(i,:)';                       % c(t)
             *        Rt=reshape(R(i,:),m,g);           % R(t)
             *        Qt=reshape(Q(i,:),g,g);           % Q(t)
             *      end;
             *
             *      % Prediction Equations
             *
             *      at_1 = Tt*at + ct ;                  % a(t|t-1) formula(3.2.2a)
             *      Pt_1 = Tt*Pt*Tt' + Qt;%Rt*Qt*Rt' ;       % P(t|t-1) formula(3.2.2b)
             *
             *      % Innovations
             *
             *      yt_1 = Zt*at_1 + dt ;                % y(t|t-1) formula(3.2.18)
             *      vt = yt-yt_1 ;                       % v(t)     formula(3.2.19)
             *
             *      % Updating Equations
             *
             *      Ft = Zt*Pt_1*Zt' + Ht ;              % F(t)     formula(3.2.3c)
             *      inv_Ft = Ft\eye(size(Ft,1));         % Inversion de Ft
             *
             *      at = at_1 + Pt_1*Zt'*inv_Ft*vt ;      % a(t)     formula(3.2.3a)
             *      Pt = Pt_1 - Pt_1*Zt'*inv_Ft*Zt*Pt_1 ; % P(t)     formula(3.2.3b)
             *
             *      % Save results
             *
             *      a(i,:)=at';
             *      a_cond(i,:)=at_1';
             *      P(i,:)=vecr(Pt)';
             *      P_cond(i,:)=vecr(Pt_1)';
             *
             *  end;
             *
             *  % Smoothing Equations
             *
             *  a_smooth(nobs,:)=at';
             *  P_smooth(nobs,:)=vecr(Pt)';
             *
             *  for i=(nobs-1):-1:1;
             *
             *      if timevar == 1;
             *        Tt=reshape(T(i+1,:),m,m);           % T(t+1)
             *      end;
             *
             *      Pt=reshape(P(i,:),m,m);               % P(t)
             *      Pt_1=reshape(P_cond(i+1,:),m,m);      % P(t+1|t)
             *      Pt_1_T=reshape(P_smooth(i+1,:),m,m);  % P(t+1|T)
             *      at=a(i,:)';                           % a(t)
             *      at_1=a_cond(i+1,:)';                  % a(t+1|t)
             *      at_1_T=a_smooth(i+1,:)';              % a(t+1|T)
             *
             *      inv_Pt_1 = Pt_1\eye(size(Pt_1,1));         % Inversion de Ft
             *
             *      P_star = Pt*Tt'*inv_Pt_1;
             *
             *      as = at + P_star*(at_1_T-at_1) ;          % a(t|T) formula(3.6.16a)
             *      Ps = Pt + P_star*(Pt_1_T-Pt_1)*P_star' ;  % P(t|T) formula(3.6.16b)
             *
             *      %Added equation P(t|t-1)'
             *      P2_smooth(i,:)=vecr((Pt_1_T*P_star')');
             *      a_smooth(i,:)=as';
             *      P_smooth(i,:)=vecr(Ps)';
             *
             *  end
             */

            int    nobs = y.R;
            int    n    = y.C;
            int    m    = 0;
            int    g    = 0;
            Matrix at   = a0;
            Matrix Pt   = P0;
            Matrix logl = new Matrix(nobs, 1);

            if (timeVar == 1)
            {
                m = Z.C / n;
                g = Q.C / n;
            }
            else
            {
                m = Z.C;
                g = Q.C;
            }

            Matrix y_cond = new Matrix(nobs, n);
            Matrix v      = new Matrix(nobs, n);
            Matrix a_cond = new Matrix(nobs, m);
            Matrix a      = new Matrix(nobs, m);
            Matrix P_cond = new Matrix(nobs, m * m);
            Matrix P      = new Matrix(nobs, m * m);
            Matrix F      = new Matrix(nobs, n * n);

            Matrix Zt = new Matrix();
            Matrix dt = new Matrix();
            Matrix Ht = new Matrix();
            Matrix Tt = new Matrix();
            Matrix ct = new Matrix();
            Matrix Qt = new Matrix();

            if (timeVar != 1)
            {
                Zt = Z;
                dt = d;
                Ht = H;
                Tt = T;
                ct = c;
                Qt = Q;
            }

            for (int i = 0; i < nobs; i++)
            {
                Matrix yt = y[i, Range.All];
                yt = yt.Transpose();

                if (timeVar == 1)
                {
                    Zt = Z[i, Range.All];
                    Zt = Zt.Reshape(n, m);
                    dt = d[i, Range.All];
                    dt = dt.Transpose();
                    Ht = H[i, Range.All];
                    Ht = Ht.Reshape(n, n);
                    Tt = T[i, Range.All];
                    Tt = Tt.Reshape(m, m);
                    ct = c[i, Range.All];
                    ct = ct.Transpose();
                    Qt = Q[i, Range.All];
                    Qt = Qt.Reshape(g, g);
                }

                //% Prediction Equations
                Matrix at_1 = Tt * at + ct;
                Matrix Pt_1 = Tt * Pt * Tt.Transpose() + Qt;

                //% Innovations
                Matrix yt_1 = Zt * at_1 + dt;
                Matrix vt   = yt - yt_1;

                //% Updating Equation
                Matrix Ft     = Zt * Pt_1 * Zt.Transpose() + Ht;
                Matrix inv_Ft = Ft.Inverse();

                at = at_1 + Pt_1 * Zt.Transpose() * inv_Ft * vt;
                Pt = Pt_1 - Pt_1 * Zt.Transpose() * inv_Ft * Zt * Pt_1;

                //% Save results
                y_cond[i, Range.All] = yt_1.Transpose();
                v[i, Range.All]      = vt.Transpose();
                a[i, Range.All]      = at.Transpose();
                a_cond[i, Range.All] = at_1.Transpose();
                P[i, Range.All]      = Vecr(Pt).Transpose();
                P_cond[i, Range.All] = Vecr(Pt_1).Transpose();
                F[i, Range.All]      = Vecr(Ft).Transpose();

                double dFt = Ft.Determinant();
                if (dFt <= 0)
                {
                    dFt = 1e-10;
                }


                // The matrix here is 1x1.
                logl[i, 0] = (double)(-(n / 2) * Math.Log(2 * Math.PI) - 0.5 * Math.Log(dFt) - 0.5 * vt.Transpose() * inv_Ft * vt);
            }

            return(new Matrix[] { y_cond, v, a, a_cond, P, P_cond, F, logl });
        }
 static public string Tr(string s)
 {
     return(Tt.Tr(s));
 }
 static public void TranslateForm(Form form)
 {
     Tt.TranslateForm(form);
 }
示例#10
0
 public Transition Allow(Tr r, Tt t)
 {
     AllowRoles.Add(r);
     Trigger = t;
     return(this);
 }
示例#11
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 public Transition Allow(Tt tt, Func <List <Tr> > fn)
 {
     AllowRolesFunction = fn;
     return(this);
 }
示例#12
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 public RoleTrigger(Tr tr, Tt tt)
 {
     Role    = tr;
     Trigger = tt;
 }