}

void TF_AttrBuilderSetTypeList(TF_AttrBuilder* builder, const char* attr_name,
                               const TF_DataType* values, int num_values) {
  auto iter = builder->attr_names.insert(attr_name).first;
  builder->Set(*iter, tensorflow::gtl::ArraySlice<const tensorflow::DataType>(
                          reinterpret_cast<const tensorflow::DataType*>(values),
                          num_values));
}

   * 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

  /**

        node.style.display = "block";
        new Termynal(node, {
            lineDelay: 500
        });
    });
    const progressLiteralStart = "---> 100%";
    const promptLiteralStart = "$ ";
    const customPromptLiteralStart = "# ";
    const termynalActivateClass = "termy";
    let termynals = [];

    function createTermynals() {
        document

    TF_Operation* const3;
    if (grad_inputs_provided) {
      const float const3_val[] = {1.0, 1.0, 1.0, 1.0};
      const3 = FloatConst2x2(expected_graph_, s_, const3_val, "GradInputs");
    } else {
      const3 = OnesLike(expected_graph_, s_, matmul, "gradients/OnesLike");
    }

    TF_Operation* matmul1 = MatMul(expected_graph_, s_, const3, const1,

pkg p1, const A //deprecated
pkg p1, const A = 1
pkg p1, const A ideal-int
pkg p1, const A64 = 1
pkg p1, const A64 int64
pkg p1, const AIsLowerA = 11
pkg p1, const AIsLowerA ideal-int
pkg p1, const B0 = 2
pkg p1, const B0 ideal-int
pkg p1, const ConstChase2 = 11
pkg p1, const ConstChase2 ideal-int
pkg p1, const ConversionConst = 5
pkg p1, const ConversionConst MyInt
pkg p1, const FloatConst = 1.5  // 3/2
pkg p1, const FloatConst ideal-float

TF_CAPI_EXPORT extern TF_CheckpointReader* TF_NewCheckpointReader(
    const char* filename, TF_Status* status);
TF_CAPI_EXPORT extern void TF_DeleteCheckpointReader(
    TF_CheckpointReader* reader);
TF_CAPI_EXPORT extern int TF_CheckpointReaderHasTensor(
    TF_CheckpointReader* reader, const char* name);
// Get the variable name at the given index
TF_CAPI_EXPORT extern const char* TF_CheckpointReaderGetVariable(

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"

internal const val USERNAME_ENCODE_SET = " \"':;<=>@[]^`{}|/\\?#"
internal const val PASSWORD_ENCODE_SET = " \"':;<=>@[]^`{}|/\\?#"
internal const val PATH_SEGMENT_ENCODE_SET = " \"<>^`{}|/\\?#"
internal const val PATH_SEGMENT_ENCODE_SET_URI = "[]"
internal const val QUERY_ENCODE_SET = " \"'<>#"
internal const val QUERY_COMPONENT_REENCODE_SET = " \"'<>#&="

*/
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]);

/** `100 Continue` (HTTP/1.1 - RFC 7231)  */
const val HTTP_CONTINUE = 100

/** `101 Switching Protocols` (HTTP/1.1 - RFC 9110)  */
const val HTTP_SWITCHING_PROTOCOLS = 101

/** `102 Processing` (WebDAV - RFC 2518)  */
const val HTTP_PROCESSING = 102

/** `103 Early Hints (Early Hints - RFC 8297)` */
const val HTTP_EARLY_HINTS = 103

/** `307 Temporary Redirect` (HTTP/1.1 - RFC 7231)  */
const val HTTP_TEMP_REDIRECT = 307