code: def test_dataframe_from_dict_of_series_with_dtype(index):
      # Variant of above, but now passing a dtype that causes a copy
      # -> need to ensure the result doesn't have refs set up to unnecessarily
      # trigger a copy on write
      s1 = Series([1.0, 2.0, 3.0])
      s2 = Series([4, 5, 6])
      df = DataFrame(
          {"a": s1, "b": s2}, index=index, dtype="int64", copy=False
      )
  
      # df should own its memory, so mutating shouldn't trigger a copy
      arr_before = get_array(df, "a")
      assert not np.shares_memory(arr_before, get_array(s1))
      df.iloc[0, 0] = 100
      arr_after = get_array(df, "a")
      assert np.shares_memory(arr_before, arr_after)
  
imports: import numpy
  import pytest
  import pandas
  from pandas import DataFrame, DatetimeIndex, Index, Period, PeriodIndex, Series, Timedelta, TimedeltaIndex, Timestamp
  import pandas._testing
  from pandas.tests.copy_view.util import get_array
label_desc: Use image node_id 15 for calling a global function with example usage: test_dataframe_from_dict_of_series_with_dtype(index) without return types