class_docstr: Test example for a simple Analyzer
code: def __call__(self, data):
      d = dict(data)
      report = deepcopy(self.get_report_format())
      report["test_stats"] = self.ops["test_stats"].evaluate(
          d[self.image_key]
      )
      d[self.stats_name] = report
      return d
  
imports: from __future__ import annotations
  import os
  import tempfile
  import unittest
  from copy import deepcopy
  from numbers import Number
  import nibabel
  import numpy
  import torch
  from parameterized import parameterized
  from monai.apps.auto3dseg import DataAnalyzer
  from monai.auto3dseg import Analyzer, FgImageStats, FgImageStatsSumm, FilenameStats, ImageStats, ImageStatsSumm, LabelStats, LabelStatsSumm, Operations, SampleOperations, SegSummarizer, SummaryOperations, datafold_read, verify_report_format
  from monai.bundle import ConfigParser
  from monai.data import DataLoader, Dataset, create_test_image_2d, create_test_image_3d
  from monai.data.meta_tensor import MetaTensor
  from monai.data.utils import no_collation
  from monai.transforms import Compose, EnsureChannelFirstd, EnsureTyped, Lambdad, LoadImaged, Orientationd, SqueezeDimd, ToDeviced
  from monai.utils.enums import DataStatsKeys
  from tests.utils import skip_if_no_cuda
label_desc: Use image node_id 2 for calling the TestImageAnalyzer obj's underlying member method code with example usage: obj.__call__(data) and returns: d