Exemplo n.º 1
0
 def add_diffeq(self,
                name,
                eq,
                unit,
                global_namespace={},
                local_namespace={},
                nonzero=True):
     '''
     unit may contain "(event-driven)" 
     '''
     pattern = re.compile("(\w+)\s*\(event\-driven\)\s*")
     result = pattern.match(unit)  # event-driven
     if result:
         unit, = result.groups()
         # We treat as a diff eq to get the correct namespaces
         Equations.add_diffeq(self,
                              name,
                              eq,
                              unit,
                              global_namespace,
                              local_namespace,
                              nonzero=False)
         if isinstance(unit, Quantity):
             unit = scalar_representation(unit)
         self._string[name] = '0*' + unit + '/second'
         self._namespace[name]['second'] = second
         # then add it to the list of event-driven variables
         self._eventdriven[name] = eq
     else:
         Equations.add_diffeq(self, name, eq, unit, global_namespace,
                              local_namespace, nonzero)
Exemplo n.º 2
0
def separate_equations(eqs, additional_dependencies=[]):
    eqs.prepare()
    all_vars = eqs._string.keys()
    # Construct a list of dependency sets, where each variable in each
    # dependency set induces a dependency on each other variable in each
    # dependency set
    depsets = []
    for var in all_vars:
        ids = set(get_identifiers(eqs._string[var]))
        ids = ids.intersection(all_vars)
        ids.add(var)
        depsets.append(ids)
    for expr in additional_dependencies:
        ids = set(get_identifiers(expr))
        ids = ids.intersection(all_vars)
        depsets.append(ids)
    # Construct a graph deps which indicates what variable depends on which
    # other variables (or is depended on by other variables).
    deps = defaultdict(set)
    for ids in depsets:
        for id1 in ids:
            for id2 in ids:
                deps[id1].add(id2)
    # Extract all the independent subgraphs
    ind_graphs = []
    while len(deps):
        ind_graphs.append(set(next_independent_subgraph(deps).keys()))
    if len(ind_graphs) == 1:
        return [eqs]
    # Finally, we construct an Equations object for each of the subgraphs
    ind_eqs = []
    for G in ind_graphs:
        neweqs = Equations()
        for var in G:
            if var in eqs._eq_names:
                neweqs.add_eq(var,
                              eqs._string[var],
                              eqs._units[var],
                              local_namespace=eqs._namespace[var])
            elif var in eqs._diffeq_names:
                nonzero = var in eqs._diffeq_names_nonzero
                neweqs.add_diffeq(var,
                                  eqs._string[var],
                                  eqs._units[var],
                                  local_namespace=eqs._namespace[var],
                                  nonzero=nonzero)
            elif var in eqs._alias.keys():
                neweqs.add_alias(var, eqs._string[var].strip())
            else:
                assert False
        ind_eqs.append(neweqs)
    return ind_eqs
Exemplo n.º 3
0
def separate_equations(eqs, additional_dependencies=[]):
    eqs.prepare()
    all_vars = eqs._string.keys()
    # Construct a list of dependency sets, where each variable in each
    # dependency set induces a dependency on each other variable in each
    # dependency set
    depsets = []
    for var in all_vars:
        ids = set(get_identifiers(eqs._string[var]))
        ids = ids.intersection(all_vars)
        ids.add(var)
        depsets.append(ids)
    for expr in additional_dependencies:
        ids = set(get_identifiers(expr))
        ids = ids.intersection(all_vars)
        depsets.append(ids)
    # Construct a graph deps which indicates what variable depends on which
    # other variables (or is depended on by other variables).
    deps = defaultdict(set)
    for ids in depsets:
        for id1 in ids:
            for id2 in ids:
                deps[id1].add(id2)
    # Extract all the independent subgraphs
    ind_graphs = []
    while len(deps):
        ind_graphs.append(set(next_independent_subgraph(deps).keys()))
    if len(ind_graphs) == 1:
        return [eqs]
    # Finally, we construct an Equations object for each of the subgraphs
    ind_eqs = []
    for G in ind_graphs:
        neweqs = Equations()
        for var in G:
            if var in eqs._eq_names:
                neweqs.add_eq(var, eqs._string[var], eqs._units[var],
                              local_namespace=eqs._namespace[var])
            elif var in eqs._diffeq_names:
                nonzero = var in eqs._diffeq_names_nonzero
                neweqs.add_diffeq(var, eqs._string[var], eqs._units[var],
                                  local_namespace=eqs._namespace[var],
                                  nonzero=nonzero)
            elif var in eqs._alias.keys():
                neweqs.add_alias(var, eqs._string[var].strip())
            else:
                assert False
        ind_eqs.append(neweqs)
    return ind_eqs
Exemplo n.º 4
0
 def add_diffeq(self, name, eq, unit, global_namespace={}, local_namespace={}, nonzero=True):
     '''
     unit may contain "(event-driven)" 
     '''
     pattern=re.compile("(\w+)\s*\(event\-driven\)\s*")
     result=pattern.match(unit) # event-driven
     if result:
         unit, = result.groups()
         # We treat as a diff eq to get the correct namespaces
         Equations.add_diffeq(self,name, eq, unit, global_namespace, local_namespace, nonzero=False)
         if isinstance(unit, Quantity):
             unit = scalar_representation(unit)
         self._string[name]='0*' + unit + '/second'
         self._namespace[name]['second']=second
         # then add it to the list of event-driven variables
         self._eventdriven[name]=eq
     else:
         Equations.add_diffeq(self,name, eq, unit, global_namespace, local_namespace, nonzero)