*     sequence.length()}
   */
  public int indexIn(CharSequence sequence, int start) {
    int length = sequence.length();
    checkPositionIndex(start, length);
    for (int i = start; i < length; i++) {
      if (matches(sequence.charAt(i))) {
        return i;
      }
    }
    return -1;
  }

  /**

				"application/vnd.shana.informed.interchange",
				"application/vnd.shana.informed.package",
				"application/vnd.simtech-mindmapper",
				"application/vnd.smaf",
				"application/vnd.smart.teacher",
				"application/vnd.software602.filler.form+xml",
				"application/vnd.software602.filler.form-xml-zip",
				"application/vnd.solent.sdkm+xml",
				"application/vnd.spotfire.dxp",

                    hour = 0;
            }

            if (isLeft) {
                var start = this.startDate.clone();
                start.hour(hour);
                start.minute(minute);
                start.second(second);
                this.setStartDate(start);
                if (this.singleDatePicker) {
                    this.endDate = this.startDate.clone();

    final String key = "bar";

    // start computing thread
    new Thread() {
      @Override
      public void run() {
        result.set(0, cache.getUnchecked(key));
        doneSignal.countDown();
      }
    }.start();

    // wait for computation to start
    secondSignal.await();

    // start waiting thread
    new Thread() {
      @Override

        </JSON>
    </OutputSerialization>
    <RequestProgress>
        <Enabled>FALSE</Enabled>
    </RequestProgress>
	<ScanRange><Start>56</Start><End>76</End></ScanRange>
</SelectObjectContentRequest>`),
		},
		{
			name:  "error-end-before-start",
			input: testInput,
			// Since we are doing offset, no headers are used.
			wantResult: ``,
			wantErr:    true,

                  .ok());
  ASSERT_TRUE(worker_server1->Start().ok());
  server_def_0.set_task_index(2);
  std::unique_ptr<tensorflow::GrpcServer> worker_server2;
  ASSERT_TRUE(tensorflow::GrpcServer::Create(
                  server_def_0, tensorflow::Env::Default(), &worker_server2)
                  .ok());
  ASSERT_TRUE(worker_server2->Start().ok());

  TFE_Context* ctx_0 = CreateContext(serialized_server_def_0,

                return startPosition;
            }

            final String start = request.getParameter("start");
            if (StringUtil.isBlank(start)) {
                startPosition = fessConfig.getPagingSearchPageStartAsInteger();
            } else {
                try {
                    startPosition = Integer.parseInt(start);
                } catch (final NumberFormatException e) {

```
git clone https://github.com/minio/thumbnailer/
npm install
```

Then open the Thumbnailer config file at `config/webhook.json` and add the configuration for your MinIO server and then start Thumbnailer by

```
NODE_ENV=webhook node thumbnail-webhook.js
```

            return null;
        }
        int start = entryDn.toLowerCase(Locale.ROOT).indexOf("cn=");
        if (start == -1) {
            return null;
        }
        start += 3;

        final int end = entryDn.indexOf(',', start);
        final String value = end == -1 ? entryDn.substring(start) : entryDn.substring(start, end);
        if (fessConfig.isLdapGroupNameWithUnderscores()) {

	ri.Bucket = bucket
	for i := range batch {
		ri.Object = batch[i].Name
		ri.countItem(batch[i].Size, batch[i].DeleteMarker, true, 1)
	}
}

// Start start the batch replication job, resumes if there was a pending job via "job.ID"
func (r *BatchJobReplicateV1) Start(ctx context.Context, api ObjectLayer, job BatchJobRequest) error {
	ri := &batchJobInfo{
		JobID:     job.ID,
		JobType:   string(job.Type()),