def __wrappers__(self):
wrappers = {}
for case_func in self.case_funcs:
case_func, metadata = extract_metadata(case_func)
wrapper = CaseWrapper(case_func, parent=self, metadata=metadata)
wrappers[wrapper.id] = wrapper
return wrappers
def __init__(self, parent=None):
super(DataDescribe, self).__init__(parent=parent)
self.cases = {}
# Generate new functions and monkey-patch
for case_func in self.case_funcs:
extracted_func, base_metadata = extract_metadata(case_func)
for name, data in self.DATASET.items():
args, meta = data, dict(base_metadata)
# Handle complex dataset item
if 'args' in data and 'meta' in data:
args = data.get('args', {})
meta.update(data.get('meta', {}))
# Extract name, args and duplicate function
func_name = '{0}_{1}'.format(extracted_func.__name__, name)
new_func = copy_function(extracted_func, func_name)
kwargs = get_function_kwargs(extracted_func, args)
# Monkey-patch and add to cases list
setattr(self, func_name, new_func)
wrapper = CaseWrapper(new_func, parent=self,
execute_kwargs=kwargs, metadata=meta)
self.cases[wrapper.id] = wrapper
def __wrappers__(self):
wrappers = {}
for case_func in self.case_funcs:
case_func, metadata = extract_metadata(case_func)
wrapper = CaseWrapper(case_func, parent=self, metadata=metadata)
wrappers[wrapper.id] = wrapper
return wrappers
def __wrappers__(self):
wrappers = []
for case_func in self.case_funcs:
case_func, metadata = extract_metadata(case_func)
wrappers.append(CaseWrapper(case_func, parent=self,
metadata=metadata))
return wrappers
def test_extract_metadata_w_skip_after(self):
@metadata(type='testing')
@skip('testing_skip')
def sample_func():
pass
func, meta = util.extract_metadata(sample_func)
self.assertEqual(meta.get('type'), 'testing')
def test_extract_metadata(self):
@metadata(type='testing')
def sample_func():
pass
func, meta = util.extract_metadata(sample_func)
self.assertEqual(func.__name__, 'sample_func')
self.assertEqual(meta.get('type'), 'testing')
def test_extract_metadata_w_skip_after(self):
@metadata(type='testing')
@skip('testing_skip')
def sample_func():
pass
func, meta = util.extract_metadata(sample_func)
self.assertEqual(meta.get('type'), 'testing')
def test_extract_metadata(self):
@metadata(type='testing')
def sample_func():
pass
func, meta = util.extract_metadata(sample_func)
self.assertEqual(func.__name__, 'sample_func')
self.assertEqual(meta.get('type'), 'testing')
def __init__(self, parent=None):
super(DataDescribe, self).__init__(parent=parent)
self.cases = {}
self.dup_count = 0
self.dups = set()
# Generate new functions and monkey-patch
for case_func in self.case_funcs:
extracted_func, base_metadata = extract_metadata(case_func)
for name, data in self.DATASET.items():
args, meta = data, dict(base_metadata)
# Handle complex dataset item
if 'args' in data and 'meta' in data:
args = data.get('args', {})
meta.update(data.get('meta', {}))
# Skip duplicates
if args:
key_args = convert_to_hashable(args)
if key_args in self.dups:
self.dup_count += 1
continue
else:
self.dups.add(key_args)
# Extract name, args and duplicate function
func_name = '{0}_{1}'.format(extracted_func.__name__, name)
new_func = copy_function(extracted_func, func_name)
kwargs = get_function_kwargs(extracted_func, args)
# Monkey-patch and add to cases list
setattr(self, func_name, new_func)
wrapper = CaseWrapper(new_func, parent=self,
execute_kwargs=kwargs, metadata=meta)
self.cases[wrapper.id] = wrapper
