other: null
    result:
      name: 1
      value: 1
  - description: defined null values should propagate removing original fields
    original:
      name: original-name
      value: original-value
    current:
      name: original-name
      value: original-value
      other: current-other
    modified:
      name: modified-name
      value: null
    twoWay:

      <K, V> ReferenceEntry<K, V> copyEntry(
          Segment<K, V> segment,
          ReferenceEntry<K, V> original,
          ReferenceEntry<K, V> newNext,
          K key) {
        ReferenceEntry<K, V> newEntry = super.copyEntry(segment, original, newNext, key);
        copyAccessEntry(original, newEntry);
        copyWriteEntry(original, newEntry);
        return newEntry;
      }
    },
    WEAK {
      @Override

      <K, V> ReferenceEntry<K, V> copyEntry(
          Segment<K, V> segment,
          ReferenceEntry<K, V> original,
          ReferenceEntry<K, V> newNext,
          K key) {
        ReferenceEntry<K, V> newEntry = super.copyEntry(segment, original, newNext, key);
        copyAccessEntry(original, newEntry);
        copyWriteEntry(original, newEntry);
        return newEntry;
      }
    },
    WEAK {
      @Override

        and:
        // The identifier's original filename should reference the filename from the source variant, not simply the prior transformed variant in the chain
        outputContains("ids: [lib1.jar -> lib1.jar.blue.red (project :lib)]")
        outputContains("variants: [{artifactType=jar, color=red, javaVersion=7, usage=api}]")
        // Should belong to same component as the originals

                              std::unordered_set<const Node*>{send_from_host});

  if (VLOG_IS_ON(4)) {
    DumpGraphToFile(shape_inference_graph_name, *g, fld);
  }

  // Replace original shape inference graph.
  FunctionDef fdef_replace;
  TF_RETURN_IF_ERROR(
      GraphToFunctionDef(*g, shape_inference_graph_name, &fdef_replace));
  TF_RETURN_IF_ERROR(

  // and returns the new placeholder node and a boolean indicating if the
  // original input node was removed from the graph. Uses of the feed output
  // tensor are replaced with this placeholder node. If the feed output tensor
  // is of a single output node, the control dependencies are forwarded to the
  // the placeholder node, and the original node will be removed.

   *
   * <p>After calling this method, you may not call {@link #finishToFuture()}, {@link
   * #finishToValueAndCloser(ValueAndCloserConsumer, Executor)}, or any other derivation method on
   * the original {@code ClosingFuture} instance.
   *
   * @param function transforms the value of this step to the value of the derived step
   * @param executor executor to run the function in
   * @return the derived step

   *
   * <p>After calling this method, you may not call {@link #finishToFuture()}, {@link
   * #finishToValueAndCloser(ValueAndCloserConsumer, Executor)}, or any other derivation method on
   * the original {@code ClosingFuture} instance.
   *
   * @param function transforms the value of this step to the value of the derived step
   * @param executor executor to run the function in
   * @return the derived step

	CompiledImports   []string             // additional Imports necessary when using CompiledGoFiles (all from standard library); 1:1 with the end of PackagePublic.Imports
	RawImports        []string             // this package's original imports as they appear in the text of the program; 1:1 with the end of PackagePublic.Imports
	ForceLibrary      bool                 // this package is a library (even if named "main")

    unable to identify the Shape of these args and thus the input TensorList
    shape is unidentifiable.
    All of these args are supposed to be independent and not related to original
    creation of TensorList.

    This pass will create multiple instances of TensorList for each arg of the
    while op and each use and thus there will be not a conflict in resolving the