code: def execute(cls, ctx, op):
      import h5py
  
      axis_offsets = op.axis_offsets
      shape = op.outputs[0].shape
  
      with h5py.File(open_file(op.filename), mode="r") as f:
          ds = f[op.path]
          data = ds[
              tuple(
                  slice(offset, offset + size)
                  for offset, size in zip(axis_offsets, shape)
              )
          ]
          ctx[op.outputs[0].key] = data
  
imports: from ...None import opcodes
  from ...lib.filesystem import open_file
  from .core import TensorFromHDF5Like, TensorOrder
label_desc: Use image node_id 1 for calling the TensorHDF5DataSource obj's underlying member method code with example usage: obj.execute(cls, ctx, op) without return types