class_docstr: Select closest anchors as the nodes with the largest personalized page rank.
  
  .. seealso::
      http://web.stanford.edu/class/cs224w/slides/04-pagerank.pdf
class_docstr_tok: ["Select","closest","anchors","as","the","nodes","with","the","largest","personalized","page","rank",".","..","seealso",":",":","http",":","\/\/web.stanford.edu\/class\/cs224w\/slides\/04-pagerank.pdf"]
code: def iter_extra_repr(self) -> Iterable[str]:  # noqa: D102
      yield f"batch_size={self.batch_size}"
      yield f"use_tqdm={self.use_tqdm}"
      yield f"page_rank_kwargs={self.page_rank_kwargs}"
  
imports: import logging
  from abc import ABC, abstractmethod
  from typing import Iterable, Optional
  import numpy
  import scipy.sparse
  import torch
  from class_resolver import ClassResolver, OptionalKwargs
  from torch_ppr import page_rank
  from torch_ppr.utils import edge_index_to_sparse_matrix, prepare_page_rank_adjacency, prepare_x0
  from tqdm.auto import tqdm
  from .utils import ensure_num_entities
  from ...typing import DeviceHint
  from ...utils import ExtraReprMixin, format_relative_comparison, resolve_device
label_desc: Use image node_id 2 for calling the PersonalizedPageRankAnchorSearcher obj's underlying member method code with example usage: obj.iter_extra_repr() without return types