code: def create_patch_hdf5_file(self):
      self.open_hdf5_file = tables.open_file(
          self.current_patch_filename, mode="w"
      )
      filters = tables.Filters(complevel=5, complib="blosc")
  
      num_cases = self.patch_num * self.data_collection.total_cases
  
      if num_cases == 0:
          raise Exception(
              "WARNING: No cases found. Cannot write to file."
          )
  
      if self.current_layer is None:
          data_shape = list(self.output_patch_shape)
      else:
          data_shape = list(
              self.model.get_layer_output_shape(self.current_layer)
          )
      data_shape[0:4] = [0, 1, 1, 1]
      data_shape = tuple(data_shape)
  
      # for output_name, output_shape in self.output_layers
      self.output_storage = self.open_hdf5_file.create_earray(
          self.open_hdf5_file.root,
          "patches",
          tables.Float32Atom(),
          shape=data_shape,
          filters=filters,
          expectedrows=num_cases,
      )
  
      # Naming convention is bad here, TODO, think about this.
      self.casename_storage = self.open_hdf5_file.create_earray(
          self.open_hdf5_file.root,
          "casenames",
          tables.StringAtom(256),
          shape=(0, 1),
          filters=filters,
          expectedrows=num_cases,
      )
      self.corner_storage = self.open_hdf5_file.create_earray(
          self.open_hdf5_file.root,
          "corners",
          tables.Float32Atom(),
          shape=(0, 3),
          filters=filters,
          expectedrows=num_cases,
      )
  
      return self.open_hdf5_file
  
imports: import numpy
  import tables
  import os
  import umap
  import matplotlib.pyplot
  import matplotlib
  import scipy.ndimage
  from sklearn.cluster import KMeans
  from deepneuro.outputs.output import Output
  from deepneuro.utilities.util import add_parameter, docker_print, replace_suffix
  from deepneuro.utilities.conversion import save_data
label_desc: Use image node_id 10 for calling the PatchInterpretability obj's underlying member method code with example usage: obj.create_patch_hdf5_file() and returns: self