napf.base.KDT.radii_search

KDT.radii_search(queries, radii, return_sorted, nthread=None)

Similar to radius_search, but you can specify radius for each query.

Parameters:

• queries ((m, d) np.ndarray) – Data type will be casted to the same type as tree_data.

• radii ((m,) np.ndarray)

• return_sorted (bool)

• nthread (int) – Default is None and will use self.nthread

Returns:

ids_and_distances –

((m, 1) np.ndarray - uint ids,

(m, 1) np.ndarray - double dists)

Return type:

tuple