code: def join_quadtree_and_bounding_boxes(
      quadtree,
      bounding_boxes,
      x_min,
      x_max,
      y_min,
      y_max,
      scale,
      max_depth,
  ):
      """Search a quadtree for polygon or linestring bounding box intersections.
  
      Parameters
      ----------
      quadtree : cudf.DataFrame
          A complete quadtree for a given area-of-interest bounding box.
      bounding_boxes : cudf.DataFrame
          Minimum bounding boxes for a set of polygons or linestrings
      x_min
          The lower-left x-coordinate of the area of interest bounding box
      x_max
          The upper-right x-coordinate of the area of interest bounding box
      min_y
          The lower-left y-coordinate of the area of interest bounding box
      max_y
          The upper-right y-coordinate of the area of interest bounding box
      scale
          Scale to apply to each point's distance from ``(x_min, y_min)``
      max_depth
          Maximum quadtree depth at which to stop testing for intersections
  
      Returns
      -------
      result : cudf.DataFrame
          Indices for each intersecting bounding box and leaf quadrant.
  
          bbox_offset : cudf.Series
              Indices for each bbox that intersects with the quadtree.
          quad_offset : cudf.Series
              Indices for each leaf quadrant intersecting with a poly bbox.
  
      Notes
      -----
      * Swaps ``min_x`` and ``max_x`` if ``min_x > max_x``
      * Swaps ``min_y`` and ``max_y`` if ``min_y > max_y``
      """
      x_min, x_max, y_min, y_max = (
          min(x_min, x_max),
          max(x_min, x_max),
          min(y_min, y_max),
          max(y_min, y_max),
      )
  
      min_scale = max(x_max - x_min, y_max - y_min) / (
          (1 << max_depth) + 2
      )
      if scale < min_scale:
          warnings.warn(
              "scale {} is less than required minimum ".format(scale)
              + "scale {}. Clamping to minimum scale".format(min_scale)
          )
  
      return DataFrame._from_data(
          *spatial_join.join_quadtree_and_bounding_boxes(
              quadtree,
              bounding_boxes,
              x_min,
              x_max,
              y_min,
              y_max,
              max(scale, min_scale),
              max_depth,
          )
      )
  
file_path: cuspatial/python/cuspatial/cuspatial/core/spatial/join.py
imports: import warnings
  from cudf import DataFrame
  from cudf.core.column import as_column
  from cuspatial import GeoSeries
  from cuspatial._lib import spatial_join
  from cuspatial._lib.point_in_polygon import point_in_polygon
  from cuspatial.utils.column_utils import contains_only_linestrings, contains_only_points, contains_only_polygons
  from cuspatial.utils.join_utils import pip_bitmap_column_to_binary_array
label_desc: Use image node_id 2 for calling a global function with example usage: join_quadtree_and_bounding_boxes(quadtree, bounding_boxes, x_min, x_max, y_min, y_max, scale, max_depth) and returns: DataFrame