class_docstr: This summary analyzer processes the values of specific key `stats_name` in a list of dict.
  Typically, the list of dict is the output of case analyzer under the same prefix
  (ImageHistogram).
  
  Args:
      stats_name: the key of the to-process value in the dict.
      average: whether to average the statistical value across different image modalities.
class_docstr_tok: ["This","summary","analyzer","processes","the","values","of","specific","key","`","stats_name","`","in","a","list","of","dict",".","Typically",",","the","list","of","dict","is","the","output","of","case","analyzer","under","the","same","prefix","(","ImageHistogram",")",".","Args",":","stats_name",":","the","key","of","the","to-process","value","in","the","dict",".","average",":","whether","to","average","the","statistical","value","across","different","image","modalities","."]
code: def __init__(
      self,
      stats_name: str = DataStatsKeys.IMAGE_HISTOGRAM,
      average: bool | None = True,
  ):
      self.summary_average = average
      report_format = {ImageStatsKeys.HISTOGRAM: None}
      super().__init__(stats_name, report_format)
  
      self.update_ops(ImageStatsKeys.HISTOGRAM, SummaryOperations())
  
imports: from __future__ import annotations
  import time
  from abc import ABC, abstractmethod
  from collections.abc import Hashable, Mapping
  from copy import deepcopy
  from typing import Any
  import numpy
  import torch
  from monai.apps.utils import get_logger
  from monai.auto3dseg.operations import Operations, SampleOperations, SummaryOperations
  from monai.auto3dseg.utils import concat_multikeys_to_dict, concat_val_to_np, get_foreground_image, get_foreground_label, get_label_ccp, verify_report_format
  from monai.bundle.config_parser import ConfigParser
  from monai.bundle.utils import ID_SEP_KEY
  from monai.data import MetaTensor, affine_to_spacing
  from monai.transforms.transform import MapTransform
  from monai.transforms.utils_pytorch_numpy_unification import sum, unique
  from monai.utils import convert_to_numpy
  from monai.utils.enums import DataStatsKeys, ImageStatsKeys, LabelStatsKeys
  from monai.utils.misc import ImageMetaKey, label_union
label_desc: Use image node_id 1 to create a new ImageHistogramSumm object from inherited base classes: Analyzer with example: obj = ImageHistogramSumm(stats_name, average)