code: def test_convert_dtypes(df):
      # https://github.com/geopandas/geopandas/issues/1870
  
      # Test geometry col is first col, first, geom_col_name=geometry
      # (order is important in concat, used internally)
      res1 = df.convert_dtypes()
  
      expected1 = GeoDataFrame(
          pd.DataFrame(df).convert_dtypes(),
          crs=df.crs,
          geometry=df.geometry.name,
      )
  
      # Checking type and metadata are right
      assert_geodataframe_equal(expected1, res1)
  
      # Test geom last, geom_col_name=geometry
      res2 = df[["value1", "value2", "geometry"]].convert_dtypes()
      assert_geodataframe_equal(
          expected1[["value1", "value2", "geometry"]], res2
      )
  
      # Test again with crs set and custom geom col name
      df2 = df.set_crs(epsg=4326).rename_geometry("points")
      expected2 = GeoDataFrame(
          pd.DataFrame(df2).convert_dtypes(),
          crs=df2.crs,
          geometry=df2.geometry.name,
      )
      res3 = df2.convert_dtypes()
      assert_geodataframe_equal(expected2, res3)
  
      # Test geom last, geom_col=geometry
      res4 = df2[["value1", "value2", "points"]].convert_dtypes()
      assert_geodataframe_equal(
          expected2[["value1", "value2", "points"]], res4
      )
  
imports: import os
  from packaging.version import Version
  import warnings
  import numpy
  from numpy.testing import assert_array_equal
  import pandas
  import shapely
  from shapely.geometry import Point, GeometryCollection, LineString, LinearRing
  import geopandas
  from geopandas import GeoDataFrame, GeoSeries
  import geopandas._compat
  from geopandas.array import from_shapely
  from geopandas.testing import assert_geodataframe_equal, assert_geoseries_equal
  from pandas.testing import assert_frame_equal, assert_series_equal
  import pytest
label_desc: Use image node_id 16 for calling a global function with example usage: test_convert_dtypes(df) without return types