def test_update_output_binding(self):
gfunc = GroupSpec(type='for1')
func_call_group = FunctionCallGroup(gfunc=gfunc,
statements=self.statements)
func_call_group.outputs[0].binding = 'k'
func_call1 = self.statements[0]
self.assertEqual(func_call1.outputs[0].binding, 'k')
def test_for_tuple_celem(self):
gfunc = GroupSpec(type='for2')
func_call_group = FunctionCallGroup(gfunc=gfunc,
statements=self.statements)
desired_call_signature = """for (tuple_x,tuple_y) in iterable:
x, y = simple(a, b)
x, y = with_defaults(a, b=b)"""
self.assertEqual(func_call_group.call_signature,
desired_call_signature)
def test_for_single_celem_enum_iterable(self):
gfunc = GroupSpec(type='for1f')
func_call_group = FunctionCallGroup(gfunc=gfunc,
statements=self.statements)
desired_call_signature = """for (i,celem) in enumerate(iterable):
x, y = simple(a, b)
x, y = with_defaults(a, b=b)"""
self.assertEqual(func_call_group.call_signature,
desired_call_signature)
def test_plain(self):
gfunc = GroupSpec(type='plain')
func_call_group = FunctionCallGroup(gfunc=gfunc,
statements=self.statements)
desired_call_signature = """
x, y = simple(a, b)
x, y = with_defaults(a, b=b)"""
self.assertEqual(func_call_group.call_signature,
desired_call_signature)
def test_nested_groups(self):
statements = []
gfunc = GroupSpec(type='for1')
func_call_group = FunctionCallGroup(gfunc=gfunc,
statements=self.statements)
statements.extend(self.statements)
statements.append(func_call_group)
gfunc = GroupSpec(type='for2')
func_call_group2 = FunctionCallGroup(gfunc=gfunc,
statements=statements)
desired_call_signature = """for (tuple_x,tuple_y) in iterable:
x, y = simple(a, b)
x, y = with_defaults(a, b=b)
for celem in iterable:
x, y = simple(a, b)
x, y = with_defaults(a, b=b)"""
self.assertEqual(func_call_group2.call_signature,
desired_call_signature)
def add_function_object_to_model(self, item, x=None, y=None):
""" Add the double clicked or dropped FunctionCall object to
the code/canvas.
The added function is also marked as selected.
If "New Function" is clicked, we hand back a FunctionCall based
on a LocalFunctionInfo. Otherwise, we hand back a FunctionCall
based on a PythonFunctionInfo.
# fixme: We need to add LocalFunctionInfo objects to the
# FunctionLibrary somehow.
"""
# Prevent the execution of the code when adding a new block.
self.project.active_experiment.exec_model.allow_execute = False
group = False
if item == NEW_EXPR_ENTRY:
node = GeneralExpression()
elif item == NEW_FUNCTION_ENTRY:
exp = self.project.active_experiment
base_name = 'new_function'
func_name = exp.exec_model.generate_unique_function_name(base_name = base_name)
# This should create a LocalFunctionInfo...
# fixme: Generate a unique name that isn't on the canvas.
code_template = "def %(name)s(a, b):\n" \
" return x, y\n"
code = code_template % {'name':func_name}
# fixme: Short term for testing. Remove imports in future and
# replace with FunctionCall UI.
function = LocalFunctionInfo(code=code)
traits_class = self.match_function_to_has_traits_class(item.name)
node = FunctionCall.from_callable_object(function, traits_class, exp)
elif item == NEW_LOOP_ENTRY:
group = True
exp = self.project.active_experiment
base_name = 'group'
group_name = exp.exec_model.generate_unique_function_name(base_name = base_name)
selection = SelGType()
is_ok = selection.configure_traits(kind='modal')
if is_ok:
group_type = selection.check_list[0]
lsp = GroupSpec(type=group_type,active_experiment=self.project.active_experiment)
node = FunctionCallGroup(lsp, gname=group_name);
else:
return
else:
function = PythonFunctionInfo(name=item.name,
module=item.module)
traits_class = self.match_function_to_has_traits_class(item.name)
node = FunctionCall.from_callable_object(function, traits_class, self.project.active_experiment)
if group:
res = node.configure_traits(kind="livemodal")
# FIXME: It will disappear when the creation of loops will be
# properly managed ("graphically") in the canvas
node.update_from_UI()
its_OK = res
else:
# Bring up the dialog box to edit it
res = node.edit_traits(kind="modal")
its_OK = res.result
if its_OK:
t_in = time.time()
self.add_function_to_execution_model(node, x, y)
t_out = time.time()
print '%f seconds: add func to execution model' % (t_out-t_in)
self.select_function_on_canvas(node)
self.project.active_experiment.exec_model.allow_execute = True
return
def handle_group(group_struct,info):
gfunc = GroupSpec.from_ast(group_struct['type'],group_struct['gfunc'],None)
statements = parse_stmts_info(group_struct['stmts'],info)
return FunctionCallGroup(gfunc,statements=statements)