def generate(self, static, dynamic, local, var_stream):
expr = self.expr
for var_set in var_stream:
new_local = local.new(set_map=var_set)
result = expr.evaluate(static, dynamic, new_local)
if utils.boolean(result):
yield var_set
def evaluate_i(self, static, dynamic, local):
name = self.name
expr_value = self.expr.evaluate(static, dynamic, local)
condition = self.condition
if self.type == "some": # Existential quantification
for value in expr_value:
new_local = local.new(set_name=name, set_value=d.StandardSequence([value]))
if utils.boolean(condition.evaluate(static, dynamic, new_local)):
return utils.create_boolean(True)
return utils.create_boolean(False)
elif self.type == "every": # Universal quantification
for value in expr_value:
new_local = local.new(set_name=name, set_value=d.StandardSequence([value]))
if not utils.boolean(condition.evaluate(static, dynamic, new_local)):
return utils.create_boolean(False)
return utils.create_boolean(True)
else:
raise Exception("Invalid quantification type: " + self.type)
def evaluate_i(self, static, dynamic, local):
# TODO: same thing about synthetic lists as with Path
sequence = self.left.evaluate(static, dynamic, local)
sequence_size = sequence.get_size()
results = [None for s in xrange(sequence_size)]
for i in xrange(sequence_size):
item = sequence.get_item(i)
new_dynamic = dynamic.new(context_size=sequence_size, context_item=item, context_position=i + 1)
if utils.boolean(self.right.evaluate(static, new_dynamic, local)):
results[i] = item
return d.StandardSequence([x for x in results if x is not None])
def evaluate_i(self, static, dynamic, local):
condition = utils.boolean(self.condition.evaluate(static, dynamic, local))
if condition:
return self.true.evaluate(static, dynamic, local)
else:
return self.false.evaluate(static, dynamic, local)
def evaluate_i(self, static, dynamic, local):
left = self.left.evaluate(static, dynamic, local)
if utils.boolean(left):
return utils.create_boolean(True)
return utils.create_boolean(utils.boolean(self.right.evaluate(static, dynamic, local)))
