}


object BuildParams {
    const val BUILD_BRANCH = "BUILD_BRANCH"
    const val BUILD_COMMIT_ID = "BUILD_COMMIT_ID"
    const val BUILD_COMMIT_DISTRIBUTION = "buildCommitDistribution"
    const val BUILD_FINAL_RELEASE = "finalRelease"
    const val BUILD_ID = "BUILD_ID"
    const val BUILD_IGNORE_INCOMING_BUILD_RECEIPT = "ignoreIncomingBuildReceipt"
    const val BUILD_MILESTONE_NUMBER = "milestoneNumber"

   * represent the length.
   */
  internal const val B1_MASK_LENGTH = 127

  internal const val OPCODE_CONTINUATION = 0x0
  internal const val OPCODE_TEXT = 0x1
  internal const val OPCODE_BINARY = 0x2

  internal const val OPCODE_CONTROL_CLOSE = 0x8
  internal const val OPCODE_CONTROL_PING = 0x9
  internal const val OPCODE_CONTROL_PONG = 0xa

  /**

}

void TF_SetAttrString(TF_OperationDescription* desc, const char* attr_name,
                      const void* value, size_t length) {
  tensorflow::StringPiece s(static_cast<const char*>(value), length);
  desc->node_builder.Attr(attr_name, s);
}

void TF_SetAttrStringList(TF_OperationDescription* desc, const char* attr_name,
                          const void* const* values, const size_t* lengths,

*/
module.exports = async ({github, context}) => {
  const rollback_commit = context.payload.head_commit.id;
  const pr_match_groups = context.payload.head_commit.message.match(/\Rollback of PR #(\d+).*/) || [];
  if (pr_match_groups.length != 2) {
    console.log(`PR Number not found in ${context.payload.head_commit.message}`);
    throw "Error extracting PR Number from commit message";
  }
  const pr_number = parseInt(pr_match_groups[1]);

  const val INITIAL_MAX_FRAME_SIZE = 0x4000 // 16384

  const val TYPE_DATA = 0x0
  const val TYPE_HEADERS = 0x1
  const val TYPE_PRIORITY = 0x2
  const val TYPE_RST_STREAM = 0x3
  const val TYPE_SETTINGS = 0x4
  const val TYPE_PUSH_PROMISE = 0x5
  const val TYPE_PING = 0x6
  const val TYPE_GOAWAY = 0x7
  const val TYPE_WINDOW_UPDATE = 0x8
  const val TYPE_CONTINUATION = 0x9

  }                                                                            \
                                                                               \
  inline const cpp_impl *unwrap(const wrapper *w) {                            \
    return reinterpret_cast<const cpp_impl *>(w);                              \
  }                                                                            \

class CheckpointReader {
 public:
  CheckpointReader(const string& filename, TF_Status* status);

  bool HasTensor(const string& name) const;
  const string DebugString() const;

  // Returns a map from variable names to their shapes.  Slices of a partitioned
  // tensor are combined into a single entry.
  const TensorSliceReader::VarToShapeMap& GetVariableToShapeMap() const;

internal object ObjectIdentifiers {
  const val EC_PUBLIC_KEY = "1.2.840.10045.2.1"
  const val SHA256_WITH_ECDSA = "1.2.840.10045.4.3.2"
  const val RSA_ENCRYPTION = "1.2.840.113549.1.1.1"
  const val SHA256_WITH_RSA_ENCRYPTION = "1.2.840.113549.1.1.11"
  const val SUBJECT_ALTERNATIVE_NAME = "2.5.29.17"
  const val BASIC_CONSTRAINTS = "2.5.29.19"
  const val COMMON_NAME = "2.5.4.3"
  const val ORGANIZATIONAL_UNIT_NAME = "2.5.4.11"

[
	uuid(4fc742e0-4a10-11cf-8273-00aa004ae673),
	version(3.0)
]
interface netdfs
{
	import "../rpc.idl";

	const uint32_t DFS_VOLUME_FLAVOR_STANDALONE = 0x100;
	const uint32_t DFS_VOLUME_FLAVOR_AD_BLOB = 0x200;

	const uint32_t DFS_STORAGE_STATE_OFFLINE = 0x0001;
	const uint32_t DFS_STORAGE_STATE_ONLINE = 0x0002;
	const uint32_t DFS_STORAGE_STATE_ACTIVE = 0x0004;

	typedef struct {
		[string] wchar_t *entry_path;
	} DfsInfo1;

                       subdiv_offsets.size());

  return op;
}

TFE_Op* SendOp(TFE_Context* ctx, TFE_TensorHandle* in,
               const std::string& op_name, const std::string& send_device,
               const std::string& recv_device,
               tensorflow::uint64 send_device_incarnation) {
  TF_Status* status = TF_NewStatus();
  TFE_Op* op = TFE_NewOp(ctx, op_name.c_str(), status);