CellMLToNektar.CellMLToNektar Namespace Reference

Functions
def	euler
def	writefile
def	show_usage
def	fix_divide_by_zero

Variables
tuple	pycml_path = os.path.dirname(os.path.realpath(__file__))
string	profile_name = '/tmp/pycml-profile-%f-%d'

Function Documentation

def CellMLToNektar.CellMLToNektar.euler	(		doc,
			t,
			nsteps = 1000,
			dt = 0.01
	)

Definition at line 66 of file CellMLToNektar.py.

    def euler(doc, t, nsteps=1000, dt=0.01):
        global tvar, state_vars, exprs #assigns tvar, state_vars and exprs to be global variables, meaning they can be used by any function
        tvar = t.free_vars[0] #takes the t-input and does "free_vars[0]" to it?
        state_vars = t.state_vars #defines state_vars as the state_vars of the t-input?
        for var in state_vars: #cycles through all the entries in "state_vars"
            var.set_value(float(var.initial_value)) #for all the entries in "state_vars" it sets the value to a float of the initial value
        tvar.set_value(0.0) #this sets the value of tvars to (0.0)?
        exprs = [e for e in doc.model.get_assignments() #I don't understand this part
                 if isinstance(e, modified_translators.mathml_apply)] #what is the mathml_apply function? Can't find it in modified_translators
        for _ in range(nsteps): #this is a for-loop through all the values up to the input of nsteps
            for expr in exprs: #this cycles through all the entries in exprs
                expr.evaluate()
            tvar.set_value(tvar.get_value() + dt)
            for var in state_vars:
                var.set_value(var.get_value() +
                              dt * var.get_value(ode=tvar))
        return