def setUp(self):
func_call1 = FunctionCall.from_function(simple)
func_call2 = FunctionCall.from_function(with_defaults)
self.statements = [func_call1, func_call2]
unittest.TestCase.setUp(self)
def setUp(self):
func_call1 = FunctionCall.from_function(simple)
func_call2 = FunctionCall.from_function(with_defaults)
self.statements = [func_call1,func_call2]
unittest.TestCase.setUp(self)
def test_simple(self):
func_call = FunctionCall.from_function(simple)
inputs = func_call.inputs
# Check the names.
desired = ['a','b']
self.assertEqual([x.name for x in inputs], desired)
# And the default values.
desired = [None, None]
self.assertEqual([x.default for x in inputs], desired)
# And the values values.
desired = ['a', 'b']
self.assertEqual([x.binding for x in inputs], desired)
# Now check the output names.
outputs = [x.name for x in func_call.outputs]
desired = ['x','y']
self.assertEqual(outputs, desired)
# Check the module.
# fixme: Do we actually want to test this here? I think only if
# we choose to move module up to the func_call level.
desired = simple.__module__
self.assertEqual(func_call.function.module, desired)
def test_simple(self):
func_call = FunctionCall.from_function(simple)
inputs = func_call.inputs
# Check the names.
desired = ['a', 'b']
self.assertEqual([x.name for x in inputs], desired)
# And the default values.
desired = [None, None]
self.assertEqual([x.default for x in inputs], desired)
# And the values values.
desired = ['a', 'b']
self.assertEqual([x.binding for x in inputs], desired)
# Now check the output names.
outputs = [x.name for x in func_call.outputs]
desired = ['x', 'y']
self.assertEqual(outputs, desired)
# Check the module.
# fixme: Do we actually want to test this here? I think only if
# we choose to move module up to the func_call level.
desired = simple.__module__
self.assertEqual(func_call.function.module, desired)
def _test_py_modules_in_directory(self, lib_dir):
py_files = glob(os.path.join(lib_dir,'*.py'))
module_names = []
for path in py_files:
base_name = os.path.basename(path)
module_name, ext = os.path.splitext(base_name)
module_names.append(module_name)
for module_name in module_names:
# fixme: do this with pkgutil?
try:
# Skip modules that don't import. Since not all modules
# in the standard library will import on all platforms.
exec "import %s" % module_name
module = eval(module_name)
except ImportError:
module = None
if module:
functions = _get_functions(module)
for function in functions:
func = FunctionCall.from_function(function)
signature = func.call_signature
def _test_py_modules_in_directory(self, lib_dir):
py_files = glob(os.path.join(lib_dir, '*.py'))
module_names = []
for path in py_files:
base_name = os.path.basename(path)
module_name, ext = os.path.splitext(base_name)
module_names.append(module_name)
for module_name in module_names:
# fixme: do this with pkgutil?
try:
# Skip modules that don't import. Since not all modules
# in the standard library will import on all platforms.
exec "import %s" % module_name
module = eval(module_name)
except ImportError:
module = None
if module:
functions = _get_functions(module)
for function in functions:
func = FunctionCall.from_function(function)
signature = func.call_signature
def test_unbound_default_call_signature(self):
func = FunctionCall.from_function(with_defaults)
desired = 'x, y = with_defaults(a, b=b)'
self.assertEqual(func.call_signature, desired)
def test_no_return(self):
func = FunctionCall.from_function(no_return)
# Now check the output names.
outputs = [x.name for x in func.outputs]
desired = []
self.assertEqual(outputs, desired)
def test_no_return(self):
func = FunctionCall.from_function(no_return)
# Now check the output names.
outputs = [x.name for x in func.outputs]
desired = []
self.assertEqual(outputs, desired)
def test_remove_function(self):
code = "def foo(a, b):\n" " x, y = a, b\n" " return x, y\n" "c, d = foo(1, 2)\n" "e, f = foo(3, 4)"
block = Block(code)
info = find_functions(block.ast)
foo1_func = FunctionCall.from_ast(block.sub_blocks[-1].ast, info)
foo2_func = FunctionCall.from_ast(block.sub_blocks[-2].ast, info)
assert foo1_func != foo2_func
model = ExecutionModel()
model.add_function(foo1_func)
model.add_function(foo2_func)
model.remove_function(foo2_func)
assert not (foo2_func in model.statements)
assert foo1_func in model.statements
def test_name_change_updates_call_signature(self):
func = FunctionCall.from_function(simple)
desired = 'x, y = simple(a, b)'
self.assertEqual(func.call_signature, desired)
func.label_name = 'baz'
desired = 'x, y = baz(a, b)'
self.assertEqual(func.call_signature, desired)
def test_label_name(self):
func = FunctionCall.from_function(simple)
self.assertEqual(func.label_name,"simple")
func.function.name = "no_return"
self.assertEqual(func.label_name, "no_return")
func.function.library_name = "foo"
self.assertEqual(func.label_name,"foo")
def test_name_change_updates_call_signature(self):
func = FunctionCall.from_function(simple)
desired = 'x, y = simple(a, b)'
self.assertEqual(func.call_signature, desired)
func.label_name = 'baz'
desired = 'x, y = baz(a, b)'
self.assertEqual(func.call_signature, desired)
def collect_func_call(statement_info,info):
functions = []
for names, node in statement_info.call_funcs:
function = FunctionCall.from_ast(node, info)
# update the output bindings if we can, else just leave empty
if len(function.outputs) == len(names):
for output, name in zip(function.outputs, names):
output.binding = name
functions.append(function)
return functions
def test_import_and_rename(self):
code = "from blockcanvas.debug.my_operator import add as add1\n" \
"a = add1(1,2)\n" \
"b = add1(a,3)"
foo_block = Block(code)
info = find_functions(foo_block.ast)
foo_call = FunctionCall.from_ast(foo_block.sub_blocks[1].ast, info)
desired = 'result = add(1, 2)'
self.assertEqual(foo_call.call_signature, desired)
def test_import_and_rename(self):
code = "from blockcanvas.debug.my_operator import add as add1\n" \
"a = add1(1,2)\n" \
"b = add1(a,3)"
foo_block = Block(code)
info = find_functions(foo_block.ast)
foo_call = FunctionCall.from_ast(foo_block.sub_blocks[1].ast, info)
desired = 'result = add(1, 2)'
self.assertEqual(foo_call.call_signature, desired)
def test_label_name(self):
func = FunctionCall.from_function(simple)
self.assertEqual(func.label_name, "simple")
func.function.name = "no_return"
self.assertEqual(func.label_name, "no_return")
func.function.library_name = "foo"
self.assertEqual(func.label_name, "foo")
def test_local_def(self):
code = "def foo(a):\n" \
" b = a\n" \
" return b\n" \
"y = foo(2)\n"
foo_block = Block(code)
info = find_functions(foo_block.ast)
foo_call = FunctionCall.from_ast(foo_block.sub_blocks[-1].ast, info)
desired = 'b = foo(2)'
self.assertEqual(foo_call.call_signature, desired)
def test_local_def(self):
code = "def foo(a):\n" \
" b = a\n" \
" return b\n" \
"y = foo(2)\n"
foo_block = Block(code)
info = find_functions(foo_block.ast)
foo_call = FunctionCall.from_ast(foo_block.sub_blocks[-1].ast, info)
desired = 'b = foo(2)'
self.assertEqual(foo_call.call_signature, desired)
def test_import(self):
code = "from blockcanvas.debug.my_operator import add, mul\n" \
"c = add(a,b)\n" \
"d = mul(c, 2)\n" \
"e = mul(c, 3)\n" \
"f = add(d,e)"
foo_block = Block(code)
info = find_functions(foo_block.ast)
foo_call = FunctionCall.from_ast(foo_block.sub_blocks[1].ast, info)
desired = 'result = add(a, b)'
self.assertEqual(foo_call.call_signature, desired)
def test_remove_function(self):
code = "def foo(a, b):\n" \
" x, y = a, b\n" \
" return x, y\n" \
"c, d = foo(1, 2)\n" \
"e, f = foo(3, 4)"
block = Block(code)
info = find_functions(block.ast)
foo1_func = FunctionCall.from_ast(block.sub_blocks[-1].ast, info)
foo2_func = FunctionCall.from_ast(block.sub_blocks[-2].ast, info)
assert foo1_func != foo2_func
model = ExecutionModel()
model.add_function(foo1_func)
model.add_function(foo2_func)
model.remove_function(foo2_func)
assert not (foo2_func in model.statements)
assert foo1_func in model.statements
def test_with_defaults_none(self):
func = FunctionCall.from_function(with_defaults_none)
inputs = func.inputs
# Check the names.
desired = ['a', 'b']
self.assertEqual([x.name for x in inputs], desired)
# And the default values.
desired = [None, 'None']
self.assertEqual([x.default for x in inputs], desired)
def test_with_defaults_none(self):
func = FunctionCall.from_function(with_defaults_none)
inputs = func.inputs
# Check the names.
desired = ['a','b']
self.assertEqual([x.name for x in inputs], desired)
# And the default values.
desired = [None, 'None']
self.assertEqual([x.default for x in inputs], desired)
def test_import(self):
code = "from blockcanvas.debug.my_operator import add, mul\n" \
"c = add(a,b)\n" \
"d = mul(c, 2)\n" \
"e = mul(c, 3)\n" \
"f = add(d,e)"
foo_block = Block(code)
info = find_functions(foo_block.ast)
foo_call = FunctionCall.from_ast(foo_block.sub_blocks[1].ast, info)
desired = 'result = add(a, b)'
self.assertEqual(foo_call.call_signature, desired)
def test_add_function(self):
code = "def foo(a, b):\n" " x, y = a, b\n" " return x, y\n" "c, d = foo(1, 2)"
block = Block(code)
info = find_functions(block.ast)
func = FunctionCall.from_ast(block.sub_blocks[-1].ast, info)
model = ExecutionModel()
model.add_function(func)
assert len(model.sorted_statements) == 1
desired = "\ndef foo(a, b): \n x, y = (a, b)\n return x, y\n\nx_, y_ = foo(1, 2)"
self.assertEqual(desired, model.code)
def test_with_defaults(self):
func = FunctionCall.from_function(with_defaults)
inputs = func.inputs
# Check the names.
desired = ['a','b']
self.assertEqual([x.name for x in inputs], desired)
# And the default values.
desired = [None, '3']
self.assertEqual([x.default for x in inputs], desired)
# Now check the output names.
outputs = [x.name for x in func.outputs]
desired = ['x','y']
self.assertEqual(outputs, desired)
def test_with_defaults(self):
func = FunctionCall.from_function(with_defaults)
inputs = func.inputs
# Check the names.
desired = ['a', 'b']
self.assertEqual([x.name for x in inputs], desired)
# And the default values.
desired = [None, '3']
self.assertEqual([x.default for x in inputs], desired)
# Now check the output names.
outputs = [x.name for x in func.outputs]
desired = ['x', 'y']
self.assertEqual(outputs, desired)
def test_add_function(self):
code = "def foo(a, b):\n" \
" x, y = a, b\n" \
" return x, y\n" \
"c, d = foo(1, 2)"
block = Block(code)
info = find_functions(block.ast)
func = FunctionCall.from_ast(block.sub_blocks[-1].ast, info)
model = ExecutionModel()
model.add_function(func)
assert len(model.sorted_statements) == 1
desired = '\ndef foo(a, b): \n x, y = (a, b)\n return x, y\n\nx_, y_ = foo(1, 2)'
self.assertEqual(desired, model.code)
if __name__ == '__main__':
from blockcanvas.function_tools.local_function_info import LocalFunctionInfo
f1code = "def foo(x=3, y=4):\n" \
" z = x + y\n" \
" return z\n"
f2code = "def bar(k='ciao'):\n" \
" print 'K=%s' % k\n"
f1 = LocalFunctionInfo(code=f1code)
f2 = LocalFunctionInfo(code=f2code)
F1 = FunctionCall.from_callable_object(f1)
F2 = FunctionCall.from_callable_object(f2)
group_type = 'for1'
lsp = GroupSpec(type=group_type)
node = FunctionCallGroup(lsp, statements=[F1,F2], gname='test_group');
print "CODE:\n"
print node.code
print "\nUUID:%s\n" % node.uuid
print "\nUUID_LIST:\n"
for u in node.uuid_list:
print 'uuid:%s\n' % u
print "\nINPUTS:\n"
for input in node.inputs:
print 'name:%s binding:%s default:%s\n' % (input.name, input.binding, input.default)
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
if __name__ == '__main__':
from blockcanvas.function_tools.local_function_info import LocalFunctionInfo
f1code = "def foo(x=3, y=4):\n" \
" z = x + y\n" \
" return z\n"
f2code = "def bar(k='ciao'):\n" \
" print 'K=%s' % k\n"
f1 = LocalFunctionInfo(code=f1code)
f2 = LocalFunctionInfo(code=f2code)
F1 = FunctionCall.from_callable_object(f1)
F2 = FunctionCall.from_callable_object(f2)
group_type = 'for1'
lsp = GroupSpec(type=group_type)
node = FunctionCallGroup(lsp, statements=[F1, F2], gname='test_group')
print "CODE:\n"
print node.code
print "\nUUID:%s\n" % node.uuid
print "\nUUID_LIST:\n"
for u in node.uuid_list:
print 'uuid:%s\n' % u
print "\nINPUTS:\n"
for input in node.inputs:
print 'name:%s binding:%s default:%s\n' % (input.name, input.binding,
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 test_simple_call_signature(self):
func = FunctionCall.from_function(simple)
desired = 'x, y = simple(a, b)'
self.assertEqual(func.call_signature, desired)
def test_empty_return_call_signature(self):
func = FunctionCall.from_function(empty_return)
desired = 'empty_return(a, b)'
self.assertEqual(func.call_signature, desired)
def test_simple_call_signature(self):
func = FunctionCall.from_function(simple)
desired = 'x, y = simple(a, b)'
self.assertEqual(func.call_signature, desired)
def test_empty_return_call_signature(self):
func = FunctionCall.from_function(empty_return)
desired = 'empty_return(a, b)'
self.assertEqual(func.call_signature, desired)
def test_unbound_default_call_signature(self):
func = FunctionCall.from_function(with_defaults)
desired = 'x, y = with_defaults(a, b=b)'
self.assertEqual(func.call_signature, desired)