code: def test_small_number_of_points(dtype):
      x = cudf.Series(
          [
              1.9804558865545805,
              0.1895259128530169,
              1.2591725716781235,
              0.8178039499335275,
              0.48171647380517046,
              1.3890664414691907,
              0.2536015260915061,
              3.1907684812039956,
              3.028362149164369,
              3.918090468102582,
              3.710910700915217,
              3.0706987088385853,
              3.572744183805594,
              3.7080407833612004,
              3.70669993057843,
              3.3588457228653024,
              2.0697434332621234,
              2.5322042870739683,
              2.175448214220591,
              2.113652420701984,
              2.520755151373394,
              2.9909779614491687,
              2.4613232527836137,
              4.975578758530645,
              4.07037627210835,
              4.300706849071861,
              4.5584381091040616,
              4.822583857757069,
              4.849847745942472,
              4.75489831780737,
              4.529792124514895,
              4.732546857961497,
              3.7622247877537456,
              3.2648444465931474,
              3.01954722322135,
              3.7164018490892348,
              3.7002781846945347,
              2.493975723955388,
              2.1807636574967466,
              2.566986568683904,
              2.2006520196663066,
              2.5104987015171574,
              2.8222482218882474,
              2.241538022180476,
              2.3007438625108882,
              6.0821276168848994,
              6.291790729917634,
              6.109985464455084,
              6.101327777646798,
              6.325158445513714,
              6.6793884701899,
              6.4274219368674315,
              6.444584786789386,
              7.897735998643542,
              7.079453687660189,
              7.430677191305505,
              7.5085184104988,
              7.886010001346151,
              7.250745898479374,
              7.769497359206111,
              1.8703303641352362,
              1.7015273093278767,
              2.7456295127617385,
              2.2065031771469,
              3.86008672302403,
              1.9143371250907073,
              3.7176098065039747,
              0.059011873032214,
              3.1162712022943757,
              2.4264509160270813,
              3.154282922203257,
          ]
      ).astype(
          dtype
      )  # x
      y = cudf.Series(
          [
              1.3472225743317712,
              0.5431061133894604,
              0.1448705855995005,
              0.8138440641113271,
              1.9022922214961997,
              1.5177694304735412,
              1.8762161698642947,
              0.2621847215928189,
              0.027638405909631958,
              0.3338651960183463,
              0.9937713340192049,
              0.9376313558467103,
              0.33184908855075124,
              0.09804238103130436,
              0.7485845679979923,
              0.2346381514128677,
              1.1809465376402173,
              1.419555755682142,
              1.2372448404986038,
              1.2774712415624014,
              1.902015274420646,
              1.2420487904041893,
              1.0484414482621331,
              0.9606291981013242,
              1.9486902798139454,
              0.021365525588281198,
              1.8996548860019926,
              0.3234041700489503,
              1.9531893897409585,
              0.7800065259479418,
              1.942673409259531,
              0.5659923375279095,
              2.8709552313924487,
              2.693039435509084,
              2.57810040095543,
              2.4612194182614333,
              2.3345952955903906,
              3.3999020934055837,
              3.2296461832828114,
              3.6607732238530897,
              3.7672478678985257,
              3.0668114607133137,
              3.8159308233351266,
              3.8812819070357545,
              3.6045900851589048,
              2.5470532680258002,
              2.983311357415729,
              2.2235950639628523,
              2.5239201807166616,
              2.8765450351723674,
              2.5605928243991434,
              2.9754616970668213,
              2.174562817047202,
              3.380784914178574,
              3.063690547962938,
              3.380489849365283,
              3.623862886287816,
              3.538128217886674,
              3.4154469467473447,
              3.253257011908445,
              4.209727933188015,
              7.478882372510933,
              7.474216636277054,
              6.896038613284851,
              7.513564222799629,
              6.885401350515916,
              6.194330707468438,
              5.823535317960799,
              6.789029097334483,
              5.188939408363776,
              5.788316610960881,
          ]
      ).astype(dtype)
      xy = cudf.DataFrame({"x": x, "y": y}).interleave_columns()
      points = cuspatial.GeoSeries.from_points_xy(xy)
      order, quadtree = cuspatial.quadtree_on_points(
          points,
          0,  # x_min
          8,  # x_max
          0,  # y_min
          8,  # y_max
          1,  # scale
          3,  # max_depth
          12,  # min_size
      )
      cudf.testing.assert_frame_equal(
          quadtree,
          cudf.DataFrame(
              {
                  "key": cudf.Series(
                      [0, 1, 2, 0, 1, 3, 4, 7, 5, 6, 13, 14, 28, 31],
                      dtype=np.uint32,
                  ),
                  "level": cudf.Series(
                      [0, 0, 0, 1, 1, 1, 1, 1, 2, 2, 2, 2, 2, 2],
                      dtype=np.uint8,
                  ),
                  "is_internal_node": cudf.Series(
                      [1, 1, 0, 0, 1, 1, 0, 1, 0, 0, 0, 0, 0, 0],
                      dtype=np.bool_,
                  ),
                  "length": cudf.Series(
                      [3, 2, 11, 7, 2, 2, 9, 2, 9, 7, 5, 8, 8, 7],
                      dtype=np.uint32,
                  ),
                  "offset": cudf.Series(
                      [
                          3,
                          6,
                          60,
                          0,
                          8,
                          10,
                          36,
                          12,
                          7,
                          16,
                          23,
                          28,
                          45,
                          53,
                      ],
                      dtype=np.uint32,
                  ),
              }
          ),
      )
  
file_path: cuspatial/python/cuspatial/cuspatial/tests/spatial/indexing/test_indexing.py
imports: import numpy
  import pytest
  from shapely.geometry import Point
  import cudf
  import cuspatial
label_desc: Use image node_id 4 for calling a global function with example usage: test_small_number_of_points(dtype) without return types