class_docstr: BaseIOTensor
  
  A `BaseIOTensor` is a basic `IOTensor` with only one component.
  It is associated with a `Tensor` of `shape` and `dtype`, with
  data backed by IO. It is the building block for `IOTensor`.
  For example, a `CSVIOTensor` consists of multiple `BaseIOTensor`
  where each one is a column of the CSV.
  
  All `IOTensor` types are either a subclass of `BaseIOTensor`,
  or are a composite of a collection of `BaseIOTensor`.
  
  The additional properties exposed by `BaseIOTensor` are `shape`
  and `dtype` associated with counterparts in `Tensor`.
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docstr: Returns the specified piece of this IOTensor.
code: def __getitem__(self, key):
      """Returns the specified piece of this IOTensor."""
      # Find out the indices based on length and key,
      # based on python slice()'s indices method:
      index = key if isinstance(key, slice) else slice(key, key + 1)
      items = self._function(start=index.start, stop=index.stop)
      return (
          tf.squeeze(items, axis=[0]) if items.shape[0] == 1 else items
      )
  
imports: import tensorflow
label_desc: Use image node_id 4 for calling the BaseIOTensor obj's underlying member method code with example usage: obj.__getitem__(key) and returns: unknown