def ordered_assignments_by_dependancies(self,):
from neurounits.visitors.common.ast_symbol_dependancies import VisitorFindDirectSymbolDependance
#from neurounits.visitors.common.ast_symbol_dependancies import VisitorFindDirectSymbolDependance
#from neurounits.units_misc import LookUpDict
ordered_assigned_values = VisitorFindDirectSymbolDependance.get_assignment_dependancy_ordering(self)
ordered_assignments = [LookUpDict(self.assignments).get_single_obj_by(lhs=av) for av in ordered_assigned_values]
return ordered_assignments
def VisitEqnSet(self, eqnset, modfilecontents, build_parameters, **kwargs):
self.assigment_statements = {}
ASTActionerDefaultIgnoreMissing.VisitEqnSet(self,eqnset,modfilecontents=modfilecontents, build_parameters=build_parameters, **kwargs)
# The order of writing out assignments is important. There are 3 phases,
# 1. Initialisation
# 2. Pre-State Solving
# 3. Post-State Solving
# At this stage, we assume that there are no assignments dependant on states depending on
# further assignments. This can be resolved, but I have not done so here....
# 1. Initialisation:
# We perform all assignments in order:
assignments_ordered = VisitorFindDirectSymbolDependance.get_assignment_dependancy_ordering( eqnset)
for ass in assignments_ordered:
modfilecontents.section_INITIAL.append( self.assigment_statements[ass] )
# 2. Find which assignments are used by the states:
required_assignments = []
dependancies = VisitorFindDirectSymbolDependance()
dependancies.VisitEqnSet(eqnset)
for s in eqnset.timederivatives:
ass_deps = [d for d in dependancies.dependancies[s] if not isinstance(d, StateVariable) ]
required_assignments.extend( ass_deps)
all_deps = []
for i in required_assignments:
a = VisitorFindDirectSymbolDependance().get_assignment_dependancy_ordering_recursive(eqnset=eqnset, ass=i)
all_deps.extend(a)
all_deps.append(i)
for ass in unique(all_deps):
unexpected_deps = [d for d in dependancies.dependancies[ass] if not isinstance(d, (AssignedVariable, SymbolicConstant, SuppliedValue, Parameter)) ]
print unexpected_deps
print 'Unexpected:', [s.symbol for s in unexpected_deps]
assert not unexpected_deps, "Resolution of dependances in Neurounits can't support assignments need by timeerivatives which are dependanct on state variables (%s)"%(unexpected_deps)
modfilecontents.section_BREAKPOINT_pre_solve.append( self.assigment_statements[ass] )
# 3. Find the dependancies of the current variables:
all_deps = []
for c in build_parameters.currents:
a = VisitorFindDirectSymbolDependance().get_assignment_dependancy_ordering_recursive(eqnset=eqnset, ass=c)
all_deps.extend(a)
all_deps.append(c)
for ass in unique(all_deps):
modfilecontents.section_BREAKPOINT_post_solve.append( self.assigment_statements[ass] )
def VisitEqnSet(self, eqnset, modfilecontents, build_parameters, **kwargs):
self.assigment_statements = {}
ASTActionerDefaultIgnoreMissing.VisitEqnSet(self,eqnset,modfilecontents=modfilecontents, build_parameters=build_parameters, **kwargs)
# The order of writing out assignments is important. There are 3 phases,
# 1. Initialisation
# 2. Pre-State Solving
# 3. Post-State Solving
# At this stage, we assume that there are no assignments dependant on states depending on
# further assignments. This can be resolved, but I have not done so here....
# 1. Initialisation:
# We perform all assignments in order:
assignments_ordered = VisitorFindDirectSymbolDependance.get_assignment_dependancy_ordering( eqnset)
for ass in assignments_ordered:
modfilecontents.section_INITIAL.append( self.assigment_statements[ass] )
# 2. Find which assignments are used by the states:
required_assignments = []
dependancies = VisitorFindDirectSymbolDependance()
dependancies.VisitEqnSet(eqnset)
for s in eqnset.timederivatives:
ass_deps = [d for d in dependancies.dependancies[s] if not isinstance(d, StateVariable) ]
required_assignments.extend( ass_deps)
all_deps = []
for i in required_assignments:
a = VisitorFindDirectSymbolDependance().get_assignment_dependancy_ordering_recursive(eqnset=eqnset, ass=i)
all_deps.extend(a)
all_deps.append(i)
for ass in unique(all_deps):
unexpected_deps = [d for d in dependancies.dependancies[ass] if not isinstance(d, (AssignedVariable, SymbolicConstant, SuppliedValue, Parameter)) ]
print unexpected_deps
print 'Unexpected:', [s.symbol for s in unexpected_deps]
assert not unexpected_deps, "Resolution of dependances in Neurounits can't support assignments need by timeerivatives which are dependanct on state variables (%s)"%(unexpected_deps)
modfilecontents.section_BREAKPOINT_pre_solve.append( self.assigment_statements[ass] )
# 3. Find the dependancies of the current variables:
all_deps = []
for c in build_parameters.currents:
a = VisitorFindDirectSymbolDependance().get_assignment_dependancy_ordering_recursive(eqnset=eqnset, ass=c)
all_deps.extend(a)
all_deps.append(c)
for ass in unique(all_deps):
modfilecontents.section_BREAKPOINT_post_solve.append(self.assigment_statements[ass])
def ordered_assignments_by_dependancies(self, ):
from neurounits.visitors.common.ast_symbol_dependancies import VisitorFindDirectSymbolDependance
#from neurounits.visitors.common.ast_symbol_dependancies import VisitorFindDirectSymbolDependance
#from neurounits.units_misc import LookUpDict
ordered_assigned_values = VisitorFindDirectSymbolDependance.get_assignment_dependancy_ordering(
self)
ordered_assignments = [
LookUpDict(self.assignments).get_single_obj_by(lhs=av)
for av in ordered_assigned_values
]
return ordered_assignments
