code: def _get_current_scale_parameters(self, scale_i, r):
      im_size = max(r["h"], r["w"])
      im_target_size = self.target_sizes[scale_i]
      self._cur_im_size, self._cur_im_target_size = (
          im_size,
          im_target_size,
      )
      self._cur_scale = self._get_current_scale(im_target_size, im_size)
      self._cur_valid_ratio_range = self.valid_box_ratio_ranges[scale_i]
  
imports: import copy
  import math
  import random
  import numpy
  from copy import deepcopy
  from typing import List, Tuple
  from collections import defaultdict
  from .chip_box_utils import nms, transform_chip_boxes2image_boxes
  from .chip_box_utils import find_chips_to_cover_overlaped_boxes
  from .chip_box_utils import transform_chip_box
  from .chip_box_utils import intersection_over_box
label_desc: Use image node_id 8 for calling the AnnoCropper obj's underlying member method code with example usage: obj._get_current_scale_parameters(scale_i, r) without return types