* close or flush the reader.
   *
   * <p>This is identical to {@link #copy(Readable, Appendable)} but optimized for these specific
   * types. CharBuffer has poor performance when being written into or read out of so round tripping
   * all the bytes through the buffer takes a long time. With these specialized types we can just
   * use a char array.
   *

### Windows

We are advancing support for Windows Server and Windows Server Containers to beta along with continued feature and functional advancements on both the Kubernetes and Windows platforms. This opens the door for many Windows-specific applications and workloads to run on Kubernetes, significantly expanding the implementation scenarios and the enterprise reach of Kubernetes.

## Before Upgrading

        TlsVersion.TLS_1_2,
        reversed,
      )

    makeRequest(client)

    val expectedConnectionCipherSuites = expectedConnectionCipherSuites(client)
    // Will choose a poor cipher suite but not plaintext.
//    assertThat(handshake.cipherSuite).isEqualTo("TLS_ECDHE_ECDSA_WITH_AES_128_GCM_SHA256")
    assertThat(handshakeEnabledCipherSuites).containsExactly(

hammar","halmstad","hammarö","haninge","haparanda","heby","hedemora","helsingborg","herrljunga","hjo","hofor","huddinge","hudiksvall","hultsfred","hylte","håbo","hällefor","härjedalen","härnösand","härryda","hässleholm","höganäs","högsby","hörby","höör","jokkmokk","järfälla","jönköping","kalix","kalmar","karlsborg","karlshamn","karlskoga","karlskrona","karlstad","katrineholm","kil","kinda","kiruna","klippan","knivsta","kramfors","kristianstad","kristinehamn","krokoms","kumla","kungsbacka","kungs...

   *       servers {@code alpha}, {@code bravo}, and {@code charlie} and you occasionally need to
   *       take each of the servers offline, {@code consistentHash} will be a poor fit: It provides
   *       no way for you to specify which of the three buckets is disappearing. Thus, if your
   *       buckets change from {@code [alpha, bravo, charlie]} to {@code [bravo, charlie]}, it will

   * WeakReference} (by default, strong references are used).
   *
   * <p>Weak values will be garbage collected once they are weakly reachable. This makes them a poor
   * candidate for caching.
   *
   * <p><b>Warning:</b> when this method is used, the resulting map will use identity ({@code ==})

   *       servers {@code alpha}, {@code bravo}, and {@code charlie} and you occasionally need to
   *       take each of the servers offline, {@code consistentHash} will be a poor fit: It provides
   *       no way for you to specify which of the three buckets is disappearing. Thus, if your
   *       buckets change from {@code [alpha, bravo, charlie]} to {@code [bravo, charlie]}, it will

2F3D          ; mapped                 ; 6208          # 3.0  KANGXI RADICAL HALBERD
2F3E          ; mapped                 ; 6236          # 3.0  KANGXI RADICAL DOOR
2F3F          ; mapped                 ; 624B          # 3.0  KANGXI RADICAL HAND
2F40          ; mapped                 ; 652F          # 3.0  KANGXI RADICAL BRANCH

    // The Dolphin algorithm is attractive because it does the fewest array reads and writes: each
    // array slot is read and written exactly once. However, it can have very poor memory locality:
    // benchmarking shows it can take 7 times longer than the other two in some cases. The other two
    // do n swaps, minus a delta (0 or 2 for Reversal, gcd(d, n) for Successive), so that's about

    // and reduces the false-positive probability.
    static final int MAX_RUN_MULTIPLIER = 13;

    /**
     * Checks the whole hash table for poor hash distribution. Takes O(n) in the worst case, O(n /
     * log n) on average.
     *
     * <p>The online hash flooding detecting in RegularSetBuilderImpl.add can detect e.g. many