docstr: The test does .astype(object).stack(future_stack=True). If we happen to have
  any missing values in `data`, then we'll end up with different
  rows since we consider `{}` NA, but `.astype(object)` doesn't.
docstr_tok: ["The","test","does",".astype","(","object",")",".stack","(","future_stack=True",")",".","If","we","happen","to","have","any","missing","values","in","`","data","`",",","then","we","'ll","end","up","with","different","rows","since","we","consider","`","{","}","`","NA",",","but","`",".astype","(","object",")","`","does","n't","."]
code: def test_stack(self):
      """
      The test does .astype(object).stack(future_stack=True). If we happen to have
      any missing values in `data`, then we'll end up with different
      rows since we consider `{}` NA, but `.astype(object)` doesn't.
      """
      super().test_stack()
  
imports: import collections
  import operator
  import sys
  import numpy
  import pytest
  import pandas
  import pandas._testing
  from pandas.tests.extension import base
  from pandas.tests.extension.json.array import JSONArray, JSONDtype, make_data
label_desc: Use image node_id 6 for calling the TestJSONArray obj's underlying member method code with example usage: obj.test_stack() without return types