CellMLToNektar.pycml.reduce_commutative_nary Class Reference

Inheritance diagram for CellMLToNektar.pycml.reduce_commutative_nary:

Private Member Functions
def	_reduce (self)

Detailed Description

Definition at line 5524 of file pycml.py.

Member Function Documentation

_reduce()

def CellMLToNektar.pycml.reduce_commutative_nary._reduce (   self )

private

Reduce this expression by evaluating its static parts.

If the whole expression is static, proceed as normal for an
<apply>.  Otherwise check if we have more than one static
operand.  If we do, we can combine them in a new static
expression and evaluate that as a whole.

Definition at line 5525 of file pycml.py.

    def _reduce(self):
        """Reduce this expression by evaluating its static parts.
 
        If the whole expression is static, proceed as normal for an
        <apply>.  Otherwise check if we have more than one static
        operand.  If we do, we can combine them in a new static
        expression and evaluate that as a whole.
        """
        app = self.xml_parent
        bt = app._get_binding_time()
        if bt == BINDING_TIMES.static or not self.model.get_option('partial_pe_commutative'):
            # Evaluate this expression as normal
            app._reduce(check_operator=False)
        else:
            # Get binding times of operands
            static_opers = filter(lambda e: app._get_element_binding_time(e) == BINDING_TIMES.static,
                                  app.operands())
            if len(static_opers) > 1:
                # Remove them from app
                for oper in static_opers:
                    app.safe_remove_child(oper)
                # Create the new expression
                new_expr = mathml_apply.create_new(self, self.localName, static_opers)
                # Put it in the model and reduce it to evaluate it properly
                app.xml_append(new_expr)
                new_expr._reduce()
            # Now reduce all our operands as normal
            app._reduce(check_operator=False)
 

References CellMLToNektar.processors.ModelModifier.model, CellMLToNektar.pycml.cellml_variable.model(), CellMLToNektar.pycml.mathml.model(), and CellMLToNektar.translators.CellMLTranslator.model.