final java.util.regex.Matcher m = p.matcher(stripCodeFences(json));
            if (m.find()) {
                final String arrayContent = m.group(1);
                return Arrays.stream(arrayContent.split(","))
                        .map(s -> s.trim().replaceAll("^\"|\"$", ""))
                        .filter(StringUtil::isNotBlank)
                        .collect(Collectors.toList());
            }
        }

draws 12 bits at a time from r, interprets them in // little-endian, and rejects values higher than q, until it drew 256 // values. (The rejection rate is approximately 19%.) // // To do this from a bytes stream, it draws three bytes at a time, and // splits them into two uint16 appropriately masked. // // r₀ r₁ r₂ // |- - - - - - - -|- - - - - - - -|- - - - - - - -| // // Uint16(r₀ || r₁) // |- - - - - - - - - - - - - - - -| // |- - - - - - - - - - - -| // d₁ // // Uint16(r₁ || r₂) // |- - - - - - -...

     * no elements below it).
     *
     * <p>Returns the new position of the element.
     */
    int crossOver(int index, E x) {
      int minChildIndex = findMinChild(index);
      // TODO(kevinb): split the && into two if's and move crossOverUp so it's
      // only called when there's no child.
      if ((minChildIndex > 0) && (ordering.compare(elementData(minChildIndex), x) < 0)) {

    visibility = ["//visibility:public"],
)

# This flag disables generating tensorflow.lite.python under LiteRT repo.
# Avoid using flag for creating tflite wheels as tensorflow/lite is not yet fully split from tf.
config_setting(
    name = "disable_tf_lite_py",
    define_values = {"disable_tf_lite_py": "true"},
    visibility = ["//visibility:public"],
)

# This flag enables experimental MLIR support.

n(e){for(var t=arguments.length,n=new Array(t>1?t-1:0),o=1;o<t;o++)n[o-1]=arguments[o];return new e(...n)});const u=D(Array.prototype.forEach),m=D(Array.prototype.lastIndexOf),p=D(Array.prototype.pop),f=D(Array.prototype.push),d=D(Array.prototype.splice),h=D(String.prototype.toLowerCase),g=D(String.prototype.toString),T=D(String.prototype.match),y=D(String.prototype.replace),E=D(String.prototype.indexOf),A=D(String.prototype.trim),_=D(Object.prototype.hasOwnProperty),b=D(RegExp.prototype.test),S...

  return status->status.ok();
}

TF_ApiDefMap* TF_NewApiDefMap(TF_Buffer* op_list_buffer, TF_Status* status) {
  tensorflow::OpList op_list;
  if (!op_list.ParseFromArray(op_list_buffer->data, op_list_buffer->length)) {
    status->status = InvalidArgument("Unparseable OpList");
    return nullptr;
  }
  status->status = absl::OkStatus();
  return new TF_ApiDefMap(op_list);
}

    tensorflow::OpList op_list;
    EXPECT_TRUE(op_list.ParseFromArray(op_list_buf.data, op_list_buf.length));
    ASSERT_EQ(op_list.op_size(), 1);
    EXPECT_EQ("TestCApi1", op_list.op(0).name());
    TF_DeleteLibraryHandle(lib);
  }
#endif  // !defined(TENSORFLOW_NO_SHARED_OBJECTS)
  {
    TF_Buffer* op_list_buffer = TF_GetAllOpList();
    tensorflow::OpList op_list;

	} else {
		minDisks = er.setDriveCount - er.defaultParityCount
	}

	if minDisks == er.setDriveCount/2 {
		// when data and parity are same we must atleast
		// wait for response from 1 extra drive to avoid
		// split-brain.
		minDisks++
	}

	calcQuorum := func(metaArr []FileInfo, errs []error) (FileInfo, []FileInfo, []StorageAPI, time.Time, string, error) {

            if (path == null) {
                parent = "/";
                name = null;
            } else {
                final String[] values = path.replaceAll("/+", "/").replaceFirst("/$", "").split("/");
                if (values.length == 1) {
                    parent = "/";
                    name = null;
                } else if (values.length == 2) {
                    parent = "/";

	if err != nil || numEntries < 0 || int(2*numEntries) < int(numEntries) {
		return nil, ErrHeader
	}

	// There should be two numbers in sparseMap for each entry.
	sparseMap := strings.Split(paxHdrs[paxGNUSparseMap], ",")
	if len(sparseMap) == 1 && sparseMap[0] == "" {
		sparseMap = sparseMap[:0]
	}
	if int64(len(sparseMap)) != 2*numEntries {
		return nil, ErrHeader
	}