navigate to the
[GitHub "issues" tab](https://github.com/tensorflow/tensorflow/issues) and start
looking through interesting issues. If you are not sure of where to start, then
start by trying one of the smaller/easier issues here i.e.
[issues with the "good first issue" label](https://github.com/tensorflow/tensorflow/labels/good%20first%20issue)
and then take a look at the

		return 0, 0, nil
	}
	partOffset = offset
	// Seek until object offset maps to a particular part offset.
	for i, part := range fi.Parts {
		partIndex = i
		// Offset is smaller than size we have reached the proper part offset.
		if partOffset < part.Size {
			return partIndex, partOffset, nil
		}
		// Continue to towards the next part.
		partOffset -= part.Size
	}

            .buildKeepingLast();
    assertMapEquals(map, key1, 3, key2, 4);
  }

  // The java7 branch has different code depending on whether the entry indexes fit in a byte,
  // short, or int. The small table in testBuildKeepingLast_allowsOverwrite will test the byte
  // case. This method tests the short case.
  public void testBuildKeepingLast_shortTable() {
    Builder<Integer, String> builder = ImmutableMap.builder();

    Random random = new Random(0);
    Multiset<Integer> elements = HashMultiset.create();
    MinMaxPriorityQueue<Integer> queue = MinMaxPriorityQueue.create();
    int range = 10_000; // range should be small enough that equal elements occur semi-frequently
    for (int iter = 0; iter < reduceIterationsIfGwt(1000); iter++) {
      for (int i = 0; i < 100; i++) {
        Integer element = random.nextInt(range);

			accessKey:           credentials.AccessKey,
			secretKey:           credentials.SecretKey,
			malformedBody:       false,
			ignoreContentLength: true,
		},
		// Failed with entity too small.
		{
			objectName:          "test",
			data:                bytes.Repeat([]byte("a"), 1023),
			expectedRespStatus:  http.StatusBadRequest,
			accessKey:           credentials.AccessKey,

	BSET	X8, X9, X10				// 33958428
	BSET	$63, X9					// 9394f42b
	BSETI	$1, X10, X11				// 93151528

	//
	// Privileged ISA
	//

	// 3.3.1: Environment Call and Breakpoint
	ECALL						// 73000000
	SCALL						// 73000000
	EBREAK						// 73001000
	SBREAK						// 73001000

	// Arbitrary bytes (entered in little-endian mode)
	WORD	$0x12345678	// WORD $305419896	// 78563412

    if (size < requireEntries().length) {
      resizeEntries(size);
    }
    int minimumTableSize = CompactHashing.tableSize(size);
    int mask = hashTableMask();
    if (minimumTableSize < mask) { // smaller table size will always be less than current mask
      resizeTable(mask, minimumTableSize, UNSET, UNSET);
    }
  }

  @Override
  public void clear() {
    if (needsAllocArrays()) {
      return;

      return actions[random.nextInt(actions.length)];
    }
  }

  /**
   * Test that the hash function contains no funnels. A funnel is a situation where a set of input
   * (key) bits 'affects' a strictly smaller set of output bits. Funneling is bad because it can
   * result in more-than-ideal collisions for a non-uniformly distributed key space. In practice,

### Synchronous Get ([.kt][SynchronousGetKotlin], [.java][SynchronousGetJava])

Download a file, print its headers, and print its response body as a string.

The `string()` method on response body is convenient and efficient for small documents. But if the response body is large (greater than 1 MiB), avoid `string()` because it will load the entire document into memory. In that case, prefer to process the body as a stream.

=== ":material-language-kotlin: Kotlin"

   * Returns a splitter that divides strings into pieces of the given length. For example, {@code
   * Splitter.fixedLength(2).split("abcde")} returns an iterable containing {@code ["ab", "cd",
   * "e"]}. The last piece can be smaller than {@code length} but will never be empty.
   *
   * <p><b>Note:</b> if {@link #fixedLength} is used in conjunction with {@link #limit}, the final