def settings(data):
# get the default encoded state, replacing the position with Inf
state = VariablesSelection.encode_var_state(
[list(self.model_selected),
list(self.model_other)])
state = {
key: (source_ind, np.inf)
for key, (source_ind, _) in state.items()
}
self.openContext(data.domain)
selected_keys = [
key for key, (sind, _) in self.variable_state.items()
if sind == 0
]
if set(selected_keys).issubset(set(state.keys())):
pass
if self.__pending_selection_restore is not None:
self._selection = np.array(self.__pending_selection_restore,
dtype=int)
self.__pending_selection_restore = None
# update the defaults state (the encoded state must contain
# all variables in the input domain)
state.update(self.variable_state)
# ... and restore it with saved positions taking precedence over
# the defaults
selected, other = VariablesSelection.decode_var_state(
state, [list(self.model_selected),
list(self.model_other)])
return selected, other
def settings(data):
# get the default encoded state, replacing the position with Inf
state = VariablesSelection.encode_var_state(
[list(self.model_selected), list(self.model_other)]
)
state = {key: (source_ind, np.inf) for key, (source_ind, _) in state.items()}
self.openContext(data.domain)
selected_keys = [key for key, (sind, _) in self.variable_state.items() if sind == 0]
if set(selected_keys).issubset(set(state.keys())):
pass
if self.__pending_selection_restore is not None:
self._selection = np.array(self.__pending_selection_restore, dtype=int)
self.__pending_selection_restore = None
# update the defaults state (the encoded state must contain
# all variables in the input domain)
state.update(self.variable_state)
# ... and restore it with saved positions taking precedence over
# the defaults
selected, other = VariablesSelection.decode_var_state(
state, [list(self.model_selected), list(self.model_other)])
return selected, other
def _load_settings(self):
domain = self.data.domain
variables = [
v for v in domain.attributes + domain.metas if v.is_primitive()
]
self.model_selected[:] = variables[:5]
self.model_other[:] = variables[5:] + list(domain.class_vars)
state = VariablesSelection.encode_var_state(
[list(self.model_selected),
list(self.model_other)])
state = {key: (ind, np.inf) for key, (ind, _) in state.items()}
state.update(self.variable_state)
return VariablesSelection.decode_var_state(
state, [list(self.model_selected),
list(self.model_other)])