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Solve the following problem using Python, implementing the functions described below, one line at a time
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Description:
 def load(self, hdf5):
 """Loads this cascade from the given HDF5 file. **Parameters:** ``hdf5`` : :py:class:`bob.io.base.HDF5File` An HDF5 file open for reading """

    # write the cascade to file
    self.thresholds = hdf5.read("Thresholds")
    self.cascade = []
    for i in range(len(self.thresholds)):
      hdf5.cd("Classifier_%d" % (i+1))
      self.cascade.append(bob.learn.boosting.BoostedMachine(hdf5))
      hdf5.cd("..")
    hdf5.cd("FeatureExtractor")
    self.extractor = FeatureExtractor(hdf5)
    hdf5.cd("..")
    self._indices()