`tf` instead of `tensorflow`, following the common practice of importing
TensorFlow via the command `import tensorflow as tf`.

The primary function of this module is to import all of the public TensorFlow
interfaces into a single place. The interfaces themselves are located in
sub-modules, as described below.

Note that the file `__init__.py` in the TensorFlow source code tree is actually

//
//	 e1 := MD5(part-1)
//	 e2 := MD5(part-2)
//	...
//	 eN := MD5(part-N)
//
// Then, the ETag of the object is computed as MD5 of all individual
// part checksums. S3 also encodes the number of parts into the ETag
// by appending a -<number-of-parts> at the end:
//
//	ETag := MD5(e1 || e2 || e3 ... || eN) || -N
//
//	For example: ceb8853ddc5086cc4ab9e149f8f09c88-5
//

   * @throws IllegalArgumentException if the scanned sub-sequence of {@code csq} contains invalid
   *     surrogate pairs
   */
  protected int nextEscapeIndex(CharSequence csq, int start, int end) {
    int index = start;
    while (index < end) {
      int cp = codePointAt(csq, index, end);
      if (cp < 0 || escape(cp) != null) {
        break;
      }
      index += Character.isSupplementaryCodePoint(cp) ? 2 : 1;

import org.jetbrains.kotlin.gradle.tasks.KotlinCompile
import java.time.Duration
import java.util.Optional

plugins {
    groovy
    idea // Need to apply the idea plugin, so the extended configuration is taken into account on sync
    id("gradlebuild.module-jar")
    id("gradlebuild.dependency-modules")
    id("gradlebuild.jvm-compile")
}

tasks.withType<JavaCompile>().configureEach {
    options.release = provider {

    }
    return encodeUtf8()
  }

  data class ImportResults(
    val sortedRules: SortedSet<ByteString>,
    val sortedExceptionRules: SortedSet<ByteString>,
    val totalRuleBytes: Int,
    val totalExceptionRuleBytes: Int,
  ) {
    fun writeOut(sink: BufferedSink) {
      with(sink) {
        writeInt(totalRuleBytes)
        for (domain in sortedRules) {
          write(domain).writeByte(NEWLINE)
        }

		arnErr, ok := err.(*event.ErrARNNotFound)
		if ok {
			for i, queue := range config.QueueList {
				// Remove ARN not found queues, because we previously allowed
				// adding unexpected entries into the config.
				//
				// With newer config disallowing changing / turning off
				// notification targets without removing ARN in notification
				// configuration we won't see this problem anymore.

		if err != nil {
			return nil, err
		}
		return sql.FromFloat(v), nil
	case simdjson.TypeInt:
		v, err := iter.Int()
		if err != nil {
			return nil, err
		}
		return sql.FromInt(v), nil
	case simdjson.TypeUint:
		v, err := iter.Int()
		if err != nil {
			// Can't fit into int, convert to float.
			v, err := iter.Float()
			return sql.FromFloat(v), err
		}
		return sql.FromInt(v), nil

		if l.Enabled {
			t := kafka.New(l)
			tgts = append(tgts, t)

			e := t.Init(ctx)
			if e != nil {
				errs = append(errs, e)
			}
		}
	}
	return tgts, errs
}

// Split targets into two groups:
//
//	group1 contains all targets of type t
//	group2 contains the remaining targets
func splitTargets(targets []Target, t types.TargetType) (group1 []Target, group2 []Target) {

    public static List<AvPair> decode(final byte[] data) throws CIFSException {
        final List<AvPair> pairs = new LinkedList<>();
        int pos = 0;
        boolean foundEnd = false;
        while (pos + 4 <= data.length) {
            final int avId = SMBUtil.readInt2(data, pos);
            final int avLen = SMBUtil.readInt2(data, pos + 2);
            pos += 4;

            if (avId == AvPair.MsvAvEOL) {
                if (avLen != 0) {

  }

  /*
   * AbstractCollection fails the removeAll(null) test when the subject
   * collection is empty, but we'd still like to test removeAll(null) when we
   * can. We split the test into empty and non-empty cases. This allows us to
   * suppress only the former.
   */

  @CollectionFeature.Require(SUPPORTS_REMOVE)
  @CollectionSize.Require(ZERO)