final LogStream[] instances = new LogStream[10];
        Thread[] threads = new Thread[10];

        for (int i = 0; i < threads.length; i++) {
            final int index = i;
            threads[i] = new Thread(() -> {
                instances[index] = LogStream.getInstance();
            });
            threads[i].start();
        }

        for (Thread thread : threads) {
            thread.join();
        }

		"\n.\n.MOVBLZX.(.8.*.4.).(.R12.).,.AX.\n.ADDB.AX.,.DX.\n",
	},
	{
		"nested multiline macro",
		lines(
			"#define KEYROUND(xmm, load, off, r1, r2, index) \\",
			"\tMOVBLZX	(BP)(DX*4),	R8 \\",
			"\tload((off+1), r2) \\",
			"\tMOVB	R8,		(off*4)(R12) \\",
			"\tPINSRW	$index, (BP)(R8*4), xmm",
			"#define LOAD(off, reg) \\",
			"\tMOVBLZX	(off*4)(R12),	reg \\",
			"\tADDB	reg,		DX",
			"KEYROUND(X0, LOAD, 8, AX, BX, 0)",

   * they're defined above -- including logic to add and subtract 1 to map between the values stored
   * in the predecessor/successor arrays and the indexes in the elements array that they identify.
   */

                    if (server.length() == 0) {
                        // this can also be a v6 address within brackets, look ahead required
                        final int nexts = str.indexOf('[', si + 1);
                        final int nexte = str.indexOf(']', si);
                        if (nexts >= 0 && nexte >= 0 && nexte == nexts - 1) {
                            server = str.substring(si, nexte + 1);
                            si = nexts;

          "uidNumber" : {
            "type" : "long"
          },
          "x121Address" : {
            "type" : "keyword"
          }
        }
      }
    },
    "settings" : {
      "index" : {
        "dbflute" : {
          "user" : {
            "properties" : {
              "groups" : {
                "array" : "true"
              },
              "roles" : {

import org.opensearch.index.query.RangeQueryBuilder;
import org.opensearch.index.query.RegexpQueryBuilder;
import org.opensearch.index.query.SpanTermQueryBuilder;
import org.opensearch.index.query.TermQueryBuilder;
import org.opensearch.index.query.TermsQueryBuilder;
import org.opensearch.index.query.WildcardQueryBuilder;
import org.opensearch.index.query.functionscore.FunctionScoreQueryBuilder;

synchronizes objects in the bucket with documents in the index. For each event in the MinIO, the server creates a document with the bucket and object name from the event as the document ID. Other details of the event are stored in the body of the document. Thus if an existing object is over-written in MinIO, the corresponding document in the Elasticsearch index is updated. If an object is deleted, the corresponding document is deleted from the index.

When the _access_ format is used, MinIO...

        if (content == null) {
            return StringUtil.EMPTY;
        }
        String value = content;
        int pos = value.indexOf("<!--");
        while (pos >= 0) {
            final int lastPos = value.indexOf("-->", pos);
            if (lastPos < 0) {
                break;
            }
            if (pos == 0) {
                value = " " + value.substring(lastPos + 3);

    /**
     * Returns the OSDD document.
     *
     * @return the OSDD document as a stream response
     */
    @Execute
    public ActionResponse index() {
        if (isLoginRequired()) {
            return redirectToLogin();
        }
        return osddHelper.asStream();
    }

  fun run() {
    val formBody =
      FormBody
        .Builder()
        .add("search", "Jurassic Park")
        .build()
    val request =
      Request(
        url = "https://en.wikipedia.org/w/index.php".toHttpUrl(),
        body = formBody,
      )

    client.newCall(request).execute().use { response ->
      if (!response.isSuccessful) throw IOException("Unexpected code $response")