def find_class(self, module, name):
"""
Return imported ShellSubprocess module classes, otherwise return
classes as usual.
"""
if module == ShellSubprocess.ShellSubprocess.get_module_name():
return getattr(ShellSubprocess, name)
return Unpickler.find_class(self, module, name)
def find_class(self, module, name):
ok = False
for wm in _DjangoQueryUnpickler.white_modules:
if module.startswith(wm):
ok = True
break
if "%s.%s"%(module, name) in _DjangoQueryUnpickler.white_objects:
ok = True
if not ok:
raise UnpicklingError("Unsafe class to unpickle %s.%s"%(module, name))
return Unpickler.find_class(self, module, name)
def find_class(self, module, name):
"""
Helps Unpickler to find certain Numpy modules.
"""
try:
numpy_version = StrictVersion(numpy.__version__)
if numpy_version >= '1.5.0':
if module == 'numpy.core.defmatrix':
module = 'numpy.matrixlib.defmatrix'
except ValueError:
pass
return Unpickler.find_class(self, module, name)
def find_class(self, module, name): """ Helps Unpickler to find certain Numpy modules. """ try: numpy_version = StrictVersion(numpy.__version__) if numpy_version >= '1.5.0': if module == 'numpy.core.defmatrix': module = 'numpy.matrixlib.defmatrix' except ValueError: pass return Unpickler.find_class(self, module, name)
def find_class(self, module, name):
"Backwards-compatibility for changes in module paths"
if module.startswith('eelbrain.'):
if module == 'eelbrain.vessels.data':
module = 'eelbrain._data_obj'
class_names = {'var': 'Var', 'factor': 'Factor', 'ndvar': 'NDVar',
'datalist': 'Datalist', 'dataset': 'Dataset'}
name = class_names[name]
elif module.startswith('eelbrain.data.'):
if module.startswith('eelbrain.data.load'):
module = module.replace('.data.load', '.load')
elif module.startswith('eelbrain.data.stats'):
module = module.replace('.data.stats', '._stats')
elif module.startswith('eelbrain.data.data_obj'):
module = module.replace('.data.data_obj', '._data_obj')
else:
raise NotImplementedError("%r / %r" % (module, name))
return Unpickler.find_class(self, module, name)
def find_class(self, module, name):
"Backwards-compatibility for changes in module paths"
if module.startswith('eelbrain.'):
if module == 'eelbrain.vessels.data':
module = 'eelbrain._data_obj'
class_names = {'var': 'Var', 'factor': 'Factor', 'ndvar': 'NDVar',
'datalist': 'Datalist', 'dataset': 'Dataset'}
name = class_names[name]
elif module.startswith('eelbrain.data.'):
if module.startswith('eelbrain.data.load'):
module = module.replace('.data.load', '.load')
elif module.startswith('eelbrain.data.stats'):
module = module.replace('.data.stats', '._stats')
elif module.startswith('eelbrain.data.data_obj'):
module = module.replace('.data.data_obj', '._data_obj')
else:
raise NotImplementedError("%r / %r" % (module, name))
return Unpickler.find_class(self, module, name)
def find_class(self, module, name):
return Unpickler.find_class(self, module_subst.get(module, module),
name)
def find_class(self, module, name):
try:
return Unpickler.find_class(self, module, name)
except (ImportError, AttributeError):
return dummy
def find_class(self, module, name):
return Unpickler.find_class(self, module_subst.get(module, module), name)
def find_class(self, module, name):
if (module, name) == ('__builtin__', '__main__'):
return self._main_module.__dict__
return Unpickler.find_class(self, module, name)
def find_class(self,module,name): if module == "datetime": return Unpickler.find_class(self,module,name) return DummyClass(module,name)
def find_class(self, module, name):
if (module, name) == ('__builtin__', '__main__'):
return self._main_module.__dict__ #XXX: above set w/save_module_dict
return StockUnpickler.find_class(self, module, name)
def find_class(self, module, name):
if (module, name) == ('__builtin__', '__main__'):
return self._main_module.__dict__ #XXX: above set w/save_module_dict
return StockUnpickler.find_class(self, module, name)
def find_class(self, module, name):
if (module, name) == ('__builtin__', '__main__'):
return self._main_module.__dict__
return Unpickler.find_class(self, module, name)
def find_class(self, module, name):
if (module, name) == ('__builtin__', '__main__'):
return self._main.__dict__ #XXX: above set w/save_module_dict
elif (module, name) == ('__builtin__', 'NoneType'):
return type(None) #XXX: special case: NoneType missing
return StockUnpickler.find_class(self, module, name)
def find_class(self, module, name):
try:
return Unpickler.find_class(self, module, name)
except (ImportError, AttributeError):
return dummy
def find_class(self, module, name):
if module == "datetime":
return Unpickler.find_class(self, module, name)
return DummyClass(module, name)
