code: def test_constructor_with_convert(self):
      # this is actually mostly a test of lib.maybe_convert_objects
      # #2845
      df = DataFrame({"A": [2**63 - 1]})
      result = df["A"]
      expected = Series(np.asarray([2**63 - 1], np.int64), name="A")
      tm.assert_series_equal(result, expected)
  
      df = DataFrame({"A": [2**63]})
      result = df["A"]
      expected = Series(np.asarray([2**63], np.uint64), name="A")
      tm.assert_series_equal(result, expected)
  
      df = DataFrame({"A": [datetime(2005, 1, 1), True]})
      result = df["A"]
      expected = Series(
          np.asarray([datetime(2005, 1, 1), True], np.object_), name="A"
      )
      tm.assert_series_equal(result, expected)
  
      df = DataFrame({"A": [None, 1]})
      result = df["A"]
      expected = Series(np.asarray([np.nan, 1], np.float64), name="A")
      tm.assert_series_equal(result, expected)
  
      df = DataFrame({"A": [1.0, 2]})
      result = df["A"]
      expected = Series(np.asarray([1.0, 2], np.float64), name="A")
      tm.assert_series_equal(result, expected)
  
      df = DataFrame({"A": [1.0 + 2.0j, 3]})
      result = df["A"]
      expected = Series(
          np.asarray([1.0 + 2.0j, 3], np.complex128), name="A"
      )
      tm.assert_series_equal(result, expected)
  
      df = DataFrame({"A": [1.0 + 2.0j, 3.0]})
      result = df["A"]
      expected = Series(
          np.asarray([1.0 + 2.0j, 3.0], np.complex128), name="A"
      )
      tm.assert_series_equal(result, expected)
  
      df = DataFrame({"A": [1.0 + 2.0j, True]})
      result = df["A"]
      expected = Series(
          np.asarray([1.0 + 2.0j, True], np.object_), name="A"
      )
      tm.assert_series_equal(result, expected)
  
      df = DataFrame({"A": [1.0, None]})
      result = df["A"]
      expected = Series(np.asarray([1.0, np.nan], np.float64), name="A")
      tm.assert_series_equal(result, expected)
  
      df = DataFrame({"A": [1.0 + 2.0j, None]})
      result = df["A"]
      expected = Series(
          np.asarray([1.0 + 2.0j, np.nan], np.complex128), name="A"
      )
      tm.assert_series_equal(result, expected)
  
      df = DataFrame({"A": [2.0, 1, True, None]})
      result = df["A"]
      expected = Series(
          np.asarray([2.0, 1, True, None], np.object_), name="A"
      )
      tm.assert_series_equal(result, expected)
  
      df = DataFrame({"A": [2.0, 1, datetime(2006, 1, 1), None]})
      result = df["A"]
      expected = Series(
          np.asarray([2.0, 1, datetime(2006, 1, 1), None], np.object_),
          name="A",
      )
      tm.assert_series_equal(result, expected)
  
imports: from datetime import datetime, timedelta
  import itertools
  import numpy
  import pytest
  from pandas.errors import PerformanceWarning
  import pandas
  from pandas import Categorical, DataFrame, Series, Timestamp, date_range, option_context
  import pandas._testing
  from pandas.core.internals.blocks import NumpyBlock
label_desc: Use image node_id 7 for calling the TestDataFrameBlockInternals obj's underlying member method code with example usage: obj.test_constructor_with_convert() without return types