def get_users_to_write(
    *,
    counter: Counter[str],
    authors: dict[str, Author],
    min_count: int = 2,
) -> dict[str, Any]:
    users: dict[str, Any] = {}
    for user, count in counter.most_common():
        if count >= min_count:
            author = authors[user]
            users[user] = {
                "login": user,
                "count": count,
                "avatarUrl": author.avatarUrl,

            // This appears to be a bug in the implementation, but we test the actual behavior
            assertEquals(6, encodedSize); // actual encoded size: 2 bytes count + 2*2 bytes for ciphers
            assertEquals(2, buffer[0]); // cipher count (little endian)
            assertEquals(0, buffer[1]);
            assertEquals(1, buffer[2]); // AES128_CCM (little endian)
            assertEquals(0, buffer[3]);

      void doIt(ImmutableLongArray.Builder builder, AtomicLong counter) {
        builder.add(counter.getAndIncrement());
      }
    },
    ADD_ARRAY {
      @Override
      void doIt(ImmutableLongArray.Builder builder, AtomicLong counter) {
        long[] array = new long[random.nextInt(10)];
        for (int i = 0; i < array.length; i++) {
          array[i] = counter.getAndIncrement();
        }
        builder.addAll(array);

      void doIt(ImmutableLongArray.Builder builder, AtomicLong counter) {
        builder.add(counter.getAndIncrement());
      }
    },
    ADD_ARRAY {
      @Override
      void doIt(ImmutableLongArray.Builder builder, AtomicLong counter) {
        long[] array = new long[random.nextInt(10)];
        for (int i = 0; i < array.length; i++) {
          array[i] = counter.getAndIncrement();
        }
        builder.addAll(array);

     * Stores a crawling configuration in the session-based storage with a unique identifier.
     * The generated session count ID combines the session ID with an incrementing counter.
     *
     * @param sessionId the session identifier
     * @param crawlingConfig the crawling configuration to store
     * @return the unique session count ID that can be used to retrieve the stored configuration
     */

      }
    } while (System.nanoTime() - deadline < 0);
    throw formatRuntimeException(
        "Latch failed to count down within %d second timeout", timeoutSeconds);
  }

  /**
   * Creates a garbage object that counts down the latch in its finalizer. Sequestered into a
   * separate method to make it somewhat more likely to be unreachable.
   */

  public void testSingleSimpleStats() {
    StatsCounter counter = new SimpleStatsCounter();
    for (int i = 0; i < 11; i++) {
      counter.recordHits(1);
    }
    for (int i = 0; i < 13; i++) {
      counter.recordLoadSuccess(i);
    }
    for (int i = 0; i < 17; i++) {
      counter.recordLoadException(i);
    }
    for (int i = 0; i < 23; i++) {
      counter.recordMisses(1);
    }

  }

  public void testOnlyOneOpen() throws Exception {
    ByteSource source = newByteSource(0, 50);
    int[] counter = new int[1];
    ByteSource checker =
        new ByteSource() {
          @Override
          public InputStream openStream() throws IOException {
            if (counter[0]++ != 0) {
              throw new IllegalStateException("More than one source open");
            }

        assertEquals(0xFFFFFFFF, pipe.timeout);

        // Max parameter and data counts should be 0
        assertEquals(0, pipe.maxParameterCount);
        assertEquals(0, pipe.maxDataCount);

        // Max setup count should be 0
        assertEquals(0, pipe.maxSetupCount);

        // Setup count should be 2 (as per actual implementation)
        assertEquals(2, pipe.setupCount);
    }

    @Test

file: org.apache.spark.rdd.RDD[String] = s3a://testbucket/testdata MapPartitionsRDD[1] at textFile at <console>:24

scala> val counts = file.flatMap(line => line.split(" ")).map(word => (word, 1)).reduceByKey(_ + _)
counts: org.apache.spark.rdd.RDD[(String, Int)] = ShuffledRDD[4] at reduceByKey at <console>:25

scala> counts.saveAsTextFile("s3a://testbucket/wordcount")
```

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