skipWhitespace()
    val type = select(optionsType)

    when (type) {
      TYPE_DEVIATION, TYPE_MAPPED, TYPE_DISALLOWED_STD3_MAPPED -> {
        skipWhitespace()
        if (readByte() != ';'.code.toByte()) throw IOException("expected ';'")

        // Like "0061" or "0031 2044 0034".
        while (true) {
          skipWhitespace()

          when (select(optionsDelimiter)) {

1. Click **Next step**.
1. Set "requestedAt" to the **Time Filter field name**.
1. Click **Create index pattern**.
1. Click **Saved Objects**.
1. Click **Import** and select "fess\_log.ndjson" to import example settings.
1. Click **Dashboard**.
1. Select "fess\_log" dashboard.
1. (Change the period from upper right if you want to do.)
## FAQ

#### Q. Kibana can't connect Elasticsearch.

    ...

                if (logger.isDebugEnabled()) {
                    logger.debug("Failed to select a job by {}", id, e);
                }
                lastException = e;
                ThreadUtil.sleep(RandomUtils.nextLong(500, 5000));
            }
        }
        logger.warn("Failed to select a job by {}", id, lastException);
        return OptionalEntity.empty();
    }

    hdrs = ["posix_filesystem_helper.h"],
    deps = [":copy_file"],
)

# On Linux, we can copy files faster using `sendfile`. But not elsewhere.
# Hence, this private library to select which implementation to use.
cc_library(
    name = "copy_file",
    srcs = select({
        "//tensorflow:linux_x86_64": ["copy_file_linux.cc"],
        "//conditions:default": ["copy_file_portable.cc"],
    }),
    hdrs = ["copy_file.h"],

    return list(models.User.select().offset(skip).limit(limit))


def create_user(user: schemas.UserCreate):
    fake_hashed_password = user.password + "notreallyhashed"
    db_user = models.User(email=user.email, hashed_password=fake_hashed_password)
    db_user.save()
    return db_user


def get_items(skip: int = 0, limit: int = 100):
    return list(models.Item.select().offset(skip).limit(limit))

$(function() {
  $('input[type="text"],select,textarea', ".login-box,section.content")
    .first()
    .focus();
  $(".form-group .has-error")
    .first()
    .next("input,select,textarea")
    .focus();

  $("section.content input").keypress(function(e) {
    if (e.which === 13) {
      var $submitButton = $("input#submit, button#submit");
      if ($submitButton.size() > 0) {
        $submitButton[0].submit();
      }

# CI Pipeline Configuration

## Open & import the project

In your IDEA, `File` - `Open`, select `.teamcity/pom.xml`, `import as project`, and you'll have a Maven project.

## Project structure

Mostly a standard Maven project structure. The entry point `settings.kts` defines the TeamCity project.

There are 3 subprojects in the TeamCity project hierarchy: `Check` for Gradle builds, `Promotion` for releasing Gradle versions, `Util` for miscellaneous utilities.

	}
	st.Results(func(b *grid.Bytes) error {
		select {
		case listenCh <- *b:
		default:
			// Do not block on slow receivers.
			b.Recycle()
		}
		return nil
	})
}

// Listen - listen on peers.
func (client *peerRESTClient) Listen(ctx context.Context, listenCh chan<- []byte, v url.Values) {
	go func() {
		for {
			client.doListen(ctx, listenCh, v)
			select {
			case <-ctx.Done():
				return

$(function() {
  $('input[type="text"],select,textarea', ".login-box,section.content")
    .first()
    .focus();
  $(".form-group .has-error")
    .first()
    .next("input,select,textarea")
    .focus();

  $("section.content input").keypress(function(e) {
    var $submitButton;
    if (e.which === 13) {
      $submitButton = $("input#submit, button#submit");
      if ($submitButton.length > 0) {
        $submitButton[0].submit();
      }