:orphan: **************** The command @run **************** The command ``@run`` starts a simulation. It takes as input the name(s) of the phase(s) that should be used, in that order. The phase names may be separated by space or comma or new line:: @run phase_name @run phase_name1, phase_name2, ... @run phase_name1 phase_name2 ... @run phase_name1 phase_name2 ... With :ref:`multiple runs `, one may label the different ``@run`` commands to be able to refer to them in postprocessing:: @run my_run1 phase_name1, phase_name2, ... @run my_run2 phase_name1, phase_name2, ... The old syntax using ``runlabel`` may also be used:: @run phase_name1, phase_name2, ... runlabel:run1 @run phase_name1, phase_name2, ... runlabel:run2 The phase names can be specified on separate lines, which may be useful when running many phases and/or running many phases with long names:: @run my_run1 phase_name1 phase_name2 ... The stop condition for the phase given in the ``@phase`` block can be overridden in the @run statment by giving the stop condition in parenthesis after the phase name:: @run my_run1 phase_name1(stop: stop_condition1) phase_name2(stop: stop_condition2) ... This means that it is possible to specify a ``@phase`` without a stop condition. If there is no stop condition, neither in ``@phase`` nor in ``@run``, an error will occur. .. _multiple-runs: Multiple runs ************* The simulation depends on the value of a number of parameters, such as ``n_subjects``, ``mechanism``, etc. It will use the values that are set at the point of the ``@run`` command. This makes it possible to re-set the value of a parameter and perform a ``@run`` again. In a script with several ``@run`` commands, use the syntax specifying the run label described above:: n_subjects = 10 @run ten_individuals phase_name n_subjects = 100 @run hundred_individuals phase_name These labels (``ten_individuals`` and ``hundred_individuals``) can then be used in the postprocessing stage in order to, for example, plot the data from the simulation with ten individuals, or from the simulation with 100 individuals:: runlabel = ten_individuals @vplot e->b # Plots the associative strength betweeen e and b in the simulation with 10 individuals runlabel = hundred_individuals @vplot e->b # Plots the associative strength betweeen e and b in the simulation with 100 individuals