def _selector_get_type_feat(self, i, typefeats_i=None):
"""Get information only from selector.
Parameters
----------
i: int, list or np.ndarray
the index information.
typefeats_i: list, tuple or None (default=None)
the selector information of all the selections we have to do
in that process for each element `i`.
Returns
-------
typefeats_i: tuple or list
the selectors for the features of the elements `i`.
typefeats_nei: tuple or list
the selectors for the features of the neighs of elements `i`.
typefeats_desc: tuple or list
the selection of the features and descriptormodel to compute the
descriptor from desc_i and desc_neighs.
"""
selector_i = format_selection(self.selector[i])
typefeats_i, typefeats_nei, typefeats_desc = selector_i
# if type(i) == int:
# typefeats_i, typefeats_nei, typefeats_desc = self.selector[i]
# else:
# typefeats_i, typefeats_nei, typefeats_desc = [], [], []
# selectors_i = self.selector[i]
# print selectors_i
# for j in range(len(i)):
# typefeats_i.append(selectors_i[j][0])
# typefeats_nei.append(selectors_i[j][1])
# typefeats_desc.append(selectors_i[j][2])
return typefeats_i, typefeats_nei, typefeats_desc
def _selector_get_type_ret(self, i, typeret_i=None):
"""Get information only from selector.
Parameters
----------
i: int
the element id.
typeret_i: tuple, np.ndarray or None (default)
the selector of the retrievers we want to use.
Returns
-------
typeret_i: int
the retriever we want to use.
out_ret: int
the out retriever we want to use.
"""
selection = format_selection(self.selector[i])
typeret_i, out_ret = selection
return typeret_i, out_ret
