expectedUsedPVCSet           sets.Set[string]
	}{
		{
			name:               "Empty cache",
			operations:         []operation{},
			expected:           []*v1.Node{},
			expectedUsedPVCSet: sets.New[string](),
		},
		{
			name:               "Single node",
			operations:         []operation{addNode(1)},
			expected:           []*v1.Node{nodes[1]},
			expectedUsedPVCSet: sets.New[string](),
		},

Status IgnoreResourceOpForSafetyAnalysis(
    jit::DeviceInfoCache* device_info_cache, const Node& n, bool* ignore) {
  // If a resource operation is assigned to XLA_CPU or XLA_GPU explicitly then
  // ignore it during resource operation safety analysis.  We need this hack
  // because of two reasons:
  //
  //  1. Operations assigned to XLA_CPU and XLA_GPU have to always be compiled.

//              below).
//  opers - Array of operations to become the body of the function or null.
//          - If no array is given (`num_opers` = -1), all the
//          operations in `fn_body` will become part of the function
//          except operations referenced in `inputs`. These operations
//          must have a single output (these operations are typically

	}

	authority := ""
	if in.Headers != nil {
		operations := TranslateHeadersOperations(in.Headers)
		out.RequestHeadersToAdd = operations.RequestHeadersToAdd
		out.ResponseHeadersToAdd = operations.ResponseHeadersToAdd
		out.RequestHeadersToRemove = operations.RequestHeadersToRemove
		out.ResponseHeadersToRemove = operations.ResponseHeadersToRemove
		authority = operations.Authority
	}

	var hostnames []host.Name

  return LogicalResult::success();
}

LogicalResult FindCoreTPUOps(
    llvm::SetVector<Operation*>& core_tpu_ops,
    const llvm::SetVector<Operation*>& forward_pass_ops,
    const llvm::SetVector<Operation*>& backward_pass_ops,
    const llvm::SetVector<Operation*>& merged_set,
    func::FuncOp loop_body_func) {
  // Find all of the Ops that are part of the forward/backward pass but aren't

/// operations which are conditionally required. If the presence of an operation
/// `foo` requires operation `bar` to be present, this is specified in `foo`. If
/// the entire set of operations in a table is not provided, use `nullptr` for
/// the struct pointer (e.g., when a file type is not supported).
///
/// DEFAULT IMPLEMENTATIONS: Some operations have default implementations that

   * the map are reflected in the multimap, and vice versa. If the map is modified while an
   * iteration over one of the multimap's collection views is in progress (except through the
   * iterator's own {@code remove} operation, or through the {@code setValue} operation on a map
   * entry returned by the iterator), the results of the iteration are undefined.
   *

   * the map are reflected in the multimap, and vice versa. If the map is modified while an
   * iteration over one of the multimap's collection views is in progress (except through the
   * iterator's own {@code remove} operation, or through the {@code setValue} operation on a map
   * entry returned by the iterator), the results of the iteration are undefined.
   *

_Decomposes TensorList operations into generic operations on tensors._

This pass rewrites TensorList operations into generic and non-mutating
operations on tensors. This results in operations that can be legalized to XLA.

The list is converted to a single large tensor that includes all list elements,
with a new first dimension for the list index. List update operations are

    return success();
  };
};

static LogicalResult static_dag_matcher(
    PatternRewriter &rewriter, Operation *op,
    ::llvm::SmallVector<Operation *, 4> &target_ops,
    Operation::operand_range &max, Operation::operand_range &min,
    Operation::operand_range &input, IntegerAttr &num_bits,
    BoolAttr &narrow_range) {
  auto fakequant_op = ::llvm::dyn_cast<TF::FakeQuantWithMinMaxVarsOp>(op);