view +anim/animate.m @ 1037:2d7ba44340d0 feature/burgers1d

Pass scheme specific parameters as cell array. This will enabale constructDiffOps to be more general. In addition, allow for schemes returning function handles as diffOps, which is currently how non-linear schemes such as Burgers1d are implemented.
author Vidar Stiernström <vidar.stiernstrom@it.uu.se>
date Fri, 18 Jan 2019 09:02:02 +0100
parents 2fe13db674da
children
line wrap: on
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% Calls F(t) repeatedly
% Should there be a Fsetup and a F, two function, to allow creating a plot and then updating it?
% F takes the time to generate the frame for and returns the actual time for the generated frame.
% t = F(t_r) is a function that paints a frame for time t. t is the closest time <=t_r
% it will be called for increasnig t.

%Todo: make it catch up and produce warnings if it lags behind? Instead of just requesting the next target time


% If adapt is true time_modifier is treated as an upper bound
function animate(F, tstart, tend, time_modifier, target_frame_rate)
    default_arg('time_modifier', 1);
    default_arg('target_frame_rate',30);

    % t is simulation time
    % tau is real time

    time_modifier_bound = time_modifier;
    dTau_target = 1/target_frame_rate; % Real time between frames

    rs = util.ReplaceableString();
    rs.appendFormat('                   t: %d\n');
    rs.appendFormat('                 tau: %d\n');
    rs.appendFormat('          target tau: %d\n');
    rs.appendFormat('          Target fps: %.2f\n');
    rs.appendFormat('          Actual fps: %.2f\n');
    rs.appendFormat('Target time_modifier: %d\n');
    rs.appendFormat('actual time_modifier: %d\n');

    animation_start = tic();
    prevTau = 0;
    targetTau = 0;
    tauFrameStart = -dTau_target;
    t = F(tstart);

    while t < tend
        % Sleep until the frame should start
        pause(targetTau-toc(animation_start));
        tau = toc(animation_start);
        dTau = tau - tauFrameStart;

        % Calculate error in tau
        e_Tau = tau - targetTau;

        % Regulate time_modifier based on e_Tau
        % time_modifier = min(time_modifier_bound, max(0.5, abs(1-e_Tau/dTau)) * time_modifier);

        % Mark the start of the frame
        tauFrameStart = tau;

        dt_target = dTau_target*time_modifier; % Targeted simulation time between frames

        t_prev = t;
        t = F(t + dt_target); % Run simulation

        % Calculate when this frame should end and the next start. (this depends on what simulation time we ended up on)
        dt = t-t_prev;
        % targetTau = targetTau + dt/time_modifier;
        targetTau = targetTau + dTau_target;

        % Update information about this frame
        tau = toc(animation_start);
        rs.updateParam(t, tau, targetTau, 1/dTau_target, 1/dTau, time_modifier_bound, time_modifier);
    end


    % Final time reporting
    time_to_animate = toc(animation_start);
    expected_time = tend/time_modifier;
    fprintf('\n');
    fprintf('Time to animate: %.3f\n', time_to_animate)
    fprintf('Expected time  : %.3f\n', expected_time)
end