text: import h5py as h5
  import numpy as np
  
  """
  H5DataSet class
  
  Reads an h5py file to load a Python dictionary
  """
  
  
  class H5DataSet:
      def __init__(self, filename=None):
          self.filename = None
          self.dataset = None
          self.load_dataset(filename)
  
      def load_dataset(self, filename=None):
          if self.filename != filename:
              self.filename = filename
              if self.filename is not None:
                  with h5.File(filename) as file_handle:
                      self.dataset = {
                          key: np.array(value) if len(value.shape) > 0 else value[()]
                          for (key, value) in file_handle.items()
                      }
              else:
                  self.dataset = None
          return self.dataset
  
      def get_filename(self):
          return self.filename
  
      def get_dataset(self):
          return self.dataset
  
      def getSlideIdx(self, slide):
          idx = np.argwhere(self.dataset["slides"] == slide)[0, 0]
          return idx
  
      def getDataIdx(self, index):
          return self.dataset["dataIdx[index][0]"]
  
      def getObjNum(self, index):
          if self.dataset["n_slides"] > index + 1:
              num = self.dataset["dataIdx"][index + 1, 0]
          else:
              num = self.dataset["n_objects"]
          return num - self.dataset["dataIdx"][index, 0]
  
      def getFeatureSet(self, index, num):
          return self.dataset["features"][index : index + num]
  
      def getWSI_Mean(self, index):
          return self.dataset["wsi_mean"][index][:]
  
      def getWSI_Std(self, index):
          return self.dataset["wsi_stddev"][index][:]
  
      def getXcentroidSet(self, index, num):
          return self.dataset["x_centroid"][index : index + num]
  
      def getYcentroidSet(self, index, num):
          return self.dataset["y_centroid"][index : index + num]
  
      def getSlideIdxSet(self, index, num):
          return self.dataset["slideIdx"][index : index + num]
  