//
// ``delete``: This is the delete-marker
//
// ``legacyObject``: This is the legacy object in xlV1 format, preserved until its overwritten
//
// The most recently updated element in the array is considered the latest version.

// In addition to these we have a special kind called free-version. This is represented
// using a delete-marker and MetaSys entries. It's used to track tiered content of a

        * [`tf.data.Dataset.ragged_batch`](https://www.tensorflow.org/api_docs/python/tf/data/Dataset/#ragged_batch), which batches elements of `tf.data.Dataset`s into `tf.RaggedTensor`s.
        * [`tf.data.Dataset.sparse_batch`](https://www.tensorflow.org/api_docs/python/tf/data/Dataset/#sparse_batch), which batches elements of `tf.data.Dataset`s into `tf.sparse.SparseTensor`s.

## Bug Fixes and Other Changes

*   `tf.image`

    // The URL will remain available if hasNext() returned true...
    val i = cache.urls()
    assertThat(i.hasNext()).isTrue()

    // ...so even when we evict the element, we still get something back.
    cache.evictAll()
    assertThat(i.next()).isEqualTo(url.toString())

    // Remove does nothing. But most importantly, it doesn't throw!
    i.remove()
  }

- Improved how the API server responds to **list** requests where the response format negotiates to Protobuf. List responses in Protobuf are marshalled one element at the time, drastically reducing memory needed to serve large collections. Streaming list responses can be disabled via the `StreamingCollectionEncodingToProtobuf` feature gate. ([#129407](https://github.com/kubernetes/kubernetes/pull/129407), [...

            return new SmbFile(this, name);
        } catch (MalformedURLException | UnknownHostException e) {
            // this should not actually happen
            throw new SmbException("Failed to resolve child element", e);
        }
    }

    SmbFileHandleImpl openUnshared(final int flags, final int access, final int sharing, final int attrs, final int options)
            throws CIFSException {

  shapes.resize(num_shapes);
  for (int i = 0; i < num_shapes; ++i) {
    if (proto_lens[i] > std::numeric_limits<int>::max()) {
      status->status = InvalidArgument(
          "length of element ", i, " in the list (", proto_lens[i],
          " bytes) is too large to be parsed by the protocol buffer library");
      return;
    }
    if (!shapes[i].ParseFromArray(protos[i], static_cast<int>(proto_lens[i]))) {

    // The following input string length is large enough to make sure that
    // copy to tstring in large mode.
    std::string source =
        "This is the " + std::to_string(i + 1) + "th. data element\n";
    TF_TString_Copy(&data[i], source.c_str(), source.length());
  }

  TF_DeleteTensor(t);
}

}  // namespace
}  // namespace tensorflow

// TODO(josh11b): Test:

### API Change

  }

  public void testPutAll() {
    int element1 = 1;
    int element2 = 2;

    BloomFilter<Integer> bf1 = BloomFilter.create(Funnels.integerFunnel(), 100);
    bf1.put(element1);
    assertTrue(bf1.mightContain(element1));
    assertFalse(bf1.mightContain(element2));

    BloomFilter<Integer> bf2 = BloomFilter.create(Funnels.integerFunnel(), 100);
    bf2.put(element2);
    assertFalse(bf2.mightContain(element1));

  }

  public void testPutAll() {
    int element1 = 1;
    int element2 = 2;

    BloomFilter<Integer> bf1 = BloomFilter.create(Funnels.integerFunnel(), 100);
    bf1.put(element1);
    assertTrue(bf1.mightContain(element1));
    assertFalse(bf1.mightContain(element2));

    BloomFilter<Integer> bf2 = BloomFilter.create(Funnels.integerFunnel(), 100);
    bf2.put(element2);
    assertFalse(bf2.mightContain(element1));