code: def test_min(self, values_for_np_reduce, box_with_array):
      box = box_with_array
      values = values_for_np_reduce
  
      same_type = True
      if box is pd.Index and values.dtype.kind in ["i", "f"]:
          # ATM Index casts to object, so we get python ints/floats
          same_type = False
  
      with tm.assert_produces_warning(None):
          obj = box(values)
  
      result = np.minimum.reduce(obj)
      if box is pd.DataFrame:
          expected = obj.min(numeric_only=False)
          tm.assert_series_equal(result, expected)
      else:
          expected = values[0]
          assert result == expected
          if same_type:
              # check we have e.g. Timestamp instead of dt64
              assert type(result) == type(expected)
  
imports: from collections import deque
  import re
  import string
  import numpy
  import pytest
  import pandas.util._test_decorators
  import pandas
  import pandas._testing
  from pandas.arrays import SparseArray
label_desc: Use image node_id 4 for calling the TestNumpyReductions obj's underlying member method code with example usage: obj.test_min(values_for_np_reduce, box_with_array) without return types