failure.assertHasCause("Cannot change dependencies of dependency configuration ':conf' after it has been included in dependency resolution.")
    }

    void resolvedGraph(@DelegatesTo(ResolveTestFixture.NodeBuilder) Closure closure) {
        resolve.prepare()
        succeeds ":checkDeps"

        resolve.expectGraph {
            root(":", "org.test:root:1.1", closure)
        }
    }

  strings::StrAppend(&body, "  const auto unique_name = ", scope_str,
                     ".GetUniqueNameForOp(\"", op_info.op_name, "\");\n");
  strings::StrAppend(
      &body, "  auto builder = ::tensorflow::NodeBuilder(unique_name, \"",
      op_info.graph_op_def.name(), "\")\n");
  const string spaces = "                     ";
  for (int i = 0; i < op_info.api_def.in_arg_size(); ++i) {
    const auto& arg(op_info.api_def.in_arg(i));

    }

    private void checkDependenciesFails() {
        resolve.prepare()
        fails(buildA, ":checkDeps", buildArgs)
    }

    void checkGraph(@DelegatesTo(ResolveTestFixture.NodeBuilder) Closure closure) {
        resolve.expectGraph {
            root(":", "org.test:buildA:1.0", closure)
        }
    }

  return op_name;
}

absl::StatusOr<std::unique_ptr<NodeDef>> GetOperationNodeDef(
    mlir::Operation* inst, llvm::StringRef name) {
  auto node_def = std::make_unique<NodeDef>();
  // Note: we do not use NodeBuilder or NodeDefBuilder as that would require
  // mapping back from the inputs to the input arguments.

  llvm::SmallString<64> op_name;
  if (IsLegacyCallInstruction(inst)) {
    // The op_name is the name of the function.

// (1) TF_Output or TFE_TensorHandle* as arguments to TF_AddInput,
//     TF_AddInputList
// (2) TF_ColocateWith, TF_AddControlInput etc. do not make sense.
// (3) Implementation detail: Avoid use of NodeBuilder/NodeDefBuilder since
//     the additional sanity checks there seem unnecessary;
typedef struct TFE_Op TFE_Op;

TF_CAPI_EXPORT extern TFE_Op* TFE_NewOp(TFE_Context* ctx,

    inputs.push_back(op.input(i));
  }

  auto shapes = ShapeN(scope, inputs);
  const auto unique_name = scope.GetUniqueNameForOp("ConcatOffset");
  auto builder =
      ::tensorflow::NodeBuilder(unique_name, "ConcatOffset")
          .Input(::tensorflow::ops::AsNodeOut(scope, op.input(dim_index)))
          .Input(::tensorflow::ops::AsNodeOutList(scope, shapes.output));
  scope.UpdateBuilder(&builder);