def get_derivative(self, s):
# Case 1: s is a constant, e.g. MX(5)
if ca.MX(s).is_constant():
return 0
# Case 2: s is a symbol, e.g. MX(x)
elif s.is_symbolic():
if s.name() not in self.derivative:
if len(self.for_loops
) > 0 and s in self.for_loops[-1].indexed_symbols:
# Create a new indexed symbol, referencing to the for loop index inside the vector derivative symbol.
for_loop_symbol = self.for_loops[-1].indexed_symbols[s]
s_without_index = self.get_mx(
ast.ComponentRef(name=for_loop_symbol.tree.name))
der_s_without_index = self.get_derivative(s_without_index)
if ca.MX(der_s_without_index).is_symbolic():
return self.get_indexed_symbol(
ast.ComponentRef(
name=der_s_without_index.name(),
indices=for_loop_symbol.tree.indices),
der_s_without_index)
else:
return 0
else:
der_s = _new_mx("der({})".format(s.name()), s.size())
self.derivative[s.name()] = der_s
self.nodes[self.current_class][der_s.name()] = der_s
return der_s
else:
return self.derivative[s.name()]
# Case 3: s is an already indexed symbol, e.g. MX(x[1])
elif s.is_op(ca.OP_GETNONZEROS) and s.dep().is_symbolic():
slice_info = s.info()['slice']
dep = s.dep()
if dep.name() not in self.derivative:
der_dep = _new_mx("der({})".format(dep.name()), dep.size())
self.derivative[dep.name()] = der_dep
return der_dep[
slice_info['start']:slice_info['stop']:slice_info['step']]
else:
return self.derivative[dep.name(
)][slice_info['start']:slice_info['stop']:slice_info['step']]
# Case 4: s is an expression that requires differentiation, e.g. MX(x2 * x2)
# Need to do this sort of expansion: der(x1 * x2) = der(x1) * x2 + x1 * der(x2)
else:
# Differentiate expression using CasADi
orig_deps = ca.symvar(s)
deps = ca.vertcat(*orig_deps)
J = ca.Function('J', [deps], [ca.jacobian(s, deps)])
J_sparsity = J.sparsity_out(0)
der_deps = [
self.get_derivative(dep)
if J_sparsity.has_nz(0, j) else ca.DM.zeros(dep.size())
for j, dep in enumerate(orig_deps)
]
return ca.mtimes(J(deps), ca.vertcat(*der_deps))
def test_modification_typo(self):
with open(os.path.join(MODEL_DIR, 'ModificationTypo.mo'), 'r') as f:
txt = f.read()
for c in ["Wrong1", "Wrong2"]:
with self.assertRaises(tree.ModificationTargetNotFound):
ast_tree = parser.parse(txt)
flat_tree = tree.flatten(ast_tree, ast.ComponentRef(name=c))
for c in ["Good1", "Good2"]:
ast_tree = parser.parse(txt)
flat_tree = tree.flatten(ast_tree, ast.ComponentRef(name=c))
def test_inheritance_symbol_modifiers(self):
with open(os.path.join(MODEL_DIR, 'Inheritance.mo'), 'r') as f:
txt = f.read()
ast_tree = parser.parse(txt)
flat_tree = tree.flatten(ast_tree, ast.ComponentRef(name='Sub'))
self.assertEqual(flat_tree.classes['Sub'].symbols['x'].max.value, 30.0)
def test_deep_copy_timeout(self):
with open(os.path.join(MODEL_DIR, 'DeepCopyTimeout.mo'), 'r') as f:
txt = f.read()
ast_tree = parser.parse(txt)
# Start a background thread which will run the flattening, such that
# we can kill it if takes to long.
# noinspection PyTypeChecker
thread = threading.Thread(target=tree.flatten,
args=(
ast_tree,
ast.ComponentRef(name='Test'),
))
# Daemon threads automatically stop when the program stops (and do not
# prevent the program from exiting)
thread.setDaemon(True)
thread.start()
# Use a timeout of 5 seconds. We check every 100 ms sec, such that the
# test is fast to succeed when everything works as expected.
for i in range(50):
time.sleep(0.1)
if not thread.isAlive():
return
self.assertFalse(thread.isAlive(), msg='Timeout occurred')
def test_spring(self):
with open(os.path.join(MODEL_DIR, 'Spring.mo'), 'r') as f:
txt = f.read()
ast_tree = parser.parse(txt)
print('AST TREE\n', ast_tree)
flat_tree = tree.flatten(ast_tree, ast.ComponentRef(name='Spring'))
print('AST TREE FLAT\n', flat_tree)
self.flush()
def test_extends_modification(self):
with open(os.path.join(MODEL_DIR, 'ExtendsModification.mo'), 'r') as f:
txt = f.read()
ast_tree = parser.parse(txt)
flat_tree = tree.flatten(ast_tree, ast.ComponentRef(name='MainModel'))
self.assertEqual(
flat_tree.classes['MainModel'].symbols['e.HQ.H'].min.name, "e.H_b")
def test_nested_classes(self):
with open(os.path.join(MODEL_DIR, 'NestedClasses.mo'), 'r') as f:
txt = f.read()
ast_tree = parser.parse(txt)
flat_tree = tree.flatten(ast_tree, ast.ComponentRef(name='C2'))
self.assertEqual(flat_tree.classes['C2'].symbols['v1'].nominal.value,
1000.0)
self.assertEqual(flat_tree.classes['C2'].symbols['v2'].nominal.value,
1000.0)
def test_inheritance(self):
with open(os.path.join(MODEL_DIR, 'InheritanceInstantiation.mo'),
'r') as f:
txt = f.read()
ast_tree = parser.parse(txt)
flat_tree = tree.flatten(ast_tree, ast.ComponentRef(name='C2'))
self.assertEqual(
flat_tree.classes['C2'].symbols['bcomp1.b'].value.value, 3.0)
self.assertEqual(
flat_tree.classes['C2'].symbols['bcomp3.a'].value.value, 1.0)
self.assertEqual(
flat_tree.classes['C2'].symbols['bcomp3.b'].value.value, 2.0)
def test_spring(self):
with open(os.path.join(MODEL_DIR, 'SpringSystem.mo'), 'r') as f:
txt = f.read()
ast_tree = parser.parse(txt)
flat_tree = tree.flatten(ast_tree,
ast.ComponentRef(name='SpringSystem'))
print(flat_tree)
text = gen_sympy.generate(ast_tree, 'SpringSystem')
with open(os.path.join(GENERATED_DIR, 'Spring.py'), 'w') as f:
f.write(text)
from test.generated.Spring import SpringSystem as SpringSystem
e = SpringSystem()
e.linearize_symbolic()
e.linearize()
# noinspection PyUnusedLocal
res = e.simulate(x0=[1.0, 1.0])
self.flush()
def test_connector(self):
with open(os.path.join(MODEL_DIR, 'Connector.mo'), 'r') as f:
txt = f.read()
ast_tree = parser.parse(txt)
# print(ast_tree)
# noinspection PyUnusedLocal
flat_tree = tree.flatten(ast_tree, ast.ComponentRef(name='Aircraft'))
# print(flat_tree)
# noinspection PyUnusedLocal
walker = tree.TreeWalker()
# noinspection PyUnusedLocal
classes = ast_tree.classes
# noinspection PyUnusedLocal
root = ast_tree.classes['Aircraft']
# instantiator = tree.Instantiator(classes=classes)
# walker.walk(instantiator, root)
# print(instantiator.res[root].symbols.keys())
# print(instantiator.res[root])
# print('INSTANTIATOR\n-----------\n\n')
# print(instantiator.res[root])
# connectExpander = tree.ConnectExpander(classes=classes)
# walker.walk(connectExpander, instantiator.res[root])
# print('CONNECT EXPANDER\n-----------\n\n')
# print(connectExpander.new_class)
# text = gen_sympy.generate(ast_tree, 'Aircraft')
# print(text)
# with open(os.path.join(MODEL_DIR, 'generated/Connect.py'), 'w') as f:
# f.write(text)
# from generated.Connect import Aircraft as Aircraft
# e = Aircraft()
# res = e.simulate()
self.flush()
def exitExpression(self, tree):
if isinstance(tree.operator, ast.ComponentRef):
op = tree.operator.name
else:
op = tree.operator
if op == '*':
op = 'mtimes' # .* differs from *
if op.startswith('.'):
op = op[1:]
logger.debug('exitExpression')
n_operands = len(tree.operands)
if op == 'der':
v = self.get_mx(tree.operands[0])
src = self.get_derivative(v)
elif op == '-' and n_operands == 1:
src = -self.get_mx(tree.operands[0])
elif op == 'not' and n_operands == 1:
src = ca.if_else(self.get_mx(tree.operands[0]), 0, 1, True)
elif op == 'mtimes':
assert n_operands >= 2
src = self.get_mx(tree.operands[0])
for i in tree.operands[1:]:
src = ca.mtimes(src, self.get_mx(i))
elif op == 'transpose' and n_operands == 1:
src = self.get_mx(tree.operands[0]).T
elif op == 'sum' and n_operands == 1:
v = self.get_mx(tree.operands[0])
src = ca.sum1(v)
elif op == 'linspace' and n_operands == 3:
a = self.get_mx(tree.operands[0])
b = self.get_mx(tree.operands[1])
n_steps = self.get_integer(tree.operands[2])
src = ca.linspace(a, b, n_steps)
elif op == 'fill' and n_operands == 2:
val = self.get_mx(tree.operands[0])
n_row = self.get_integer(tree.operands[1])
src = val * ca.DM.ones(n_row)
elif op == 'fill' and n_operands == 3:
val = self.get_mx(tree.operands[0])
n_row = self.get_integer(tree.operands[1])
n_col = self.get_integer(tree.operands[2])
src = val * ca.DM.ones(n_row, n_col)
elif op == 'zeros' and n_operands == 1:
n_row = self.get_integer(tree.operands[0])
src = ca.DM.zeros(n_row)
elif op == 'zeros' and n_operands == 2:
n_row = self.get_integer(tree.operands[0])
n_col = self.get_integer(tree.operands[1])
src = ca.DM.zeros(n_row, n_col)
elif op == 'ones' and n_operands == 1:
n_row = self.get_integer(tree.operands[0])
src = ca.DM.ones(n_row)
elif op == 'ones' and n_operands == 2:
n_row = self.get_integer(tree.operands[0])
n_col = self.get_integer(tree.operands[1])
src = ca.DM.ones(n_row, n_col)
elif op == 'identity' and n_operands == 1:
n = self.get_integer(tree.operands[0])
src = ca.DM.eye(n)
elif op == 'diagonal' and n_operands == 1:
diag = self.get_mx(tree.operands[0])
n = len(diag)
indices = list(range(n))
src = ca.DM.triplet(indices, indices, diag, n, n)
elif op == 'cat':
axis = self.get_integer(tree.operands[0])
assert axis == 1, "Currently only concatenation on first axis is supported"
entries = []
for sym in [self.get_mx(op) for op in tree.operands[1:]]:
if isinstance(sym, list):
for e in sym:
entries.append(e)
else:
entries.append(sym)
src = ca.vertcat(*entries)
elif op == 'delay' and n_operands == 2:
expr = self.get_mx(tree.operands[0])
duration = self.get_mx(tree.operands[1])
src = _new_mx('_pymoca_delay_{}'.format(self.delay_counter), *expr.size())
self.delay_counter += 1
for f in self.for_loops:
syms = set(ca.symvar(expr))
if syms.intersection(f.indexed_symbols):
f.register_indexed_symbol(src, lambda i: i, True, tree.operands[0], f.index_variable)
self.model.delay_states.append(src.name())
self.model.inputs.append(Variable(src))
delay_argument = DelayArgument(expr, duration)
self.model.delay_arguments.append(delay_argument)
elif op == '_pymoca_interp1d' and n_operands >= 3 and n_operands <= 4:
entered_class = self.entered_classes[-1]
if isinstance(tree.operands[0], ast.ComponentRef):
xp = self.get_mx(entered_class.symbols[tree.operands[0].name].value)
else:
xp = self.get_mx(tree.operands[0])
if isinstance(tree.operands[1], ast.ComponentRef):
yp = self.get_mx(entered_class.symbols[tree.operands[1].name].value)
else:
yp = self.get_mx(tree.operands[1])
arg = self.get_mx(tree.operands[2])
if n_operands == 4:
assert isinstance(tree.operands[3], ast.Primary)
mode = tree.operands[3].value
else:
mode = 'linear'
func = ca.interpolant('interpolant', mode, [xp], yp)
src = func(arg)
elif op == '_pymoca_interp2d' and n_operands >= 5 and n_operands <= 6:
entered_class = self.entered_classes[-1]
if isinstance(tree.operands[0], ast.ComponentRef):
xp = self.get_mx(entered_class.symbols[tree.operands[0].name].value)
else:
xp = self.get_mx(tree.operands[0])
if isinstance(tree.operands[1], ast.ComponentRef):
yp = self.get_mx(entered_class.symbols[tree.operands[1].name].value)
else:
yp = self.get_mx(tree.operands[1])
if isinstance(tree.operands[2], ast.ComponentRef):
zp = self.get_mx(entered_class.symbols[tree.operands[2].name].value)
else:
zp = self.get_mx(tree.operands[2])
arg_1 = self.get_mx(tree.operands[3])
arg_2 = self.get_mx(tree.operands[4])
if n_operands == 6:
assert isinstance(tree.operands[5], ast.Primary)
mode = tree.operands[5].value
else:
mode = 'linear'
func = ca.interpolant('interpolant', mode, [xp, yp], np.array(zp).ravel(order='F'))
src = func(ca.vertcat(arg_1, arg_2))
elif op in OP_MAP and n_operands == 2:
lhs = ca.MX(self.get_mx(tree.operands[0]))
rhs = ca.MX(self.get_mx(tree.operands[1]))
lhs_op = getattr(lhs, OP_MAP[op])
src = lhs_op(rhs)
elif op in OP_MAP and n_operands == 1:
lhs = ca.MX(self.get_mx(tree.operands[0]))
lhs_op = getattr(lhs, OP_MAP[op])
src = lhs_op()
else:
src = ca.MX(self.get_mx(tree.operands[0]))
# Check for built-in operations, such as the
# elementary functions, first.
if hasattr(src, op) and n_operands <= 2:
if n_operands == 1:
src = ca.MX(self.get_mx(tree.operands[0]))
src = getattr(src, op)()
else:
lhs = ca.MX(self.get_mx(tree.operands[0]))
rhs = ca.MX(self.get_mx(tree.operands[1]))
lhs_op = getattr(lhs, op)
src = lhs_op(rhs)
else:
try: # Check if there is a component named as the operation. In that case we are dealing with a time access
# Should we check for symbol as well?
v = self.get_mx(ast.ComponentRef(name=op))
t = self.get_mx(tree.operands[0])
src = self.get_symbol_time_access(v, t)
except KeyError:
func = self.get_function(op)
src = ca.vertcat(*func.call([self.get_mx(operand) for operand in tree.operands], *self.function_mode))
self.src[tree] = src
