RangeMapEntry<K, V> rangeMapEntry = mapEntryAboveToTruncate.getValue();
      if (rangeMapEntry.getUpperBound().compareTo(rangeToRemove.upperBound) > 0) {
        // we know ( ] ), and since we dealt with truncating below already,
        // we know [ ( ] )
        putRangeMapEntry(
            rangeToRemove.upperBound,
            rangeMapEntry.getUpperBound(),
            mapEntryAboveToTruncate.getValue().getValue());

      RangeMapEntry<K, V> rangeMapEntry = mapEntryAboveToTruncate.getValue();
      if (rangeMapEntry.getUpperBound().compareTo(rangeToRemove.upperBound) > 0) {
        // we know ( ] ), and since we dealt with truncating below already,
        // we know [ ( ] )
        putRangeMapEntry(
            rangeToRemove.upperBound,
            rangeMapEntry.getUpperBound(),
            mapEntryAboveToTruncate.getValue().getValue());

				fmt.Println("Could NOT reconstruct:", err)
			}
		}
	}
	if lastValid == 0 {
		return errors.New("no valid data found")
	}
	if missing > 0 {
		fmt.Println(missing, "bytes missing. Truncating", len(m.filled)-lastValid-1, "from end.")
		out += ".incomplete"
	} else {
		fmt.Println("No bytes missing.")
		out += ".complete"
	}
	m.mapped = m.mapped[:lastValid+1]

    converted to Tensor by `tf.convert_to_tensor`.
*   Calling ops with a python constants or numpy values is now consistent with
    tf.convert_to_tensor behavior. This avoids operations like tf.reshape
    truncating inputs such as from int64 to int32.
*   Adds `tf.sparse.map_values` to apply a function to the `.value`s of
    `SparseTensor` arguments.
*   The Python bitwise operators for `Tensor` (`__and__`, `__or__`, `__xor__`

* Generate OpenAPI schemas in alphabetical order. PR [#554](https://github.com/tiangolo/fastapi/pull/554) by [@dmontagu](https://github.com/dmontagu).
* Add support for truncating docstrings from *path operation functions*.
    * New docs at [Advanced description from docstring](https://fastapi.tiangolo.com/advanced/path-operation-advanced-configuration/#advanced-description-from-docstring).