.certificateAuthority(0)
        .commonName("compromised intermediate")
        .signedBy(pinnedRoot)
        .build()
    val attackerIntermediate =
      HeldCertificate
        .Builder()
        .keyPair(attackerCa.keyPair) // Share keys between compromised CA and intermediate!
        .serialNumber(4L)
        .certificateAuthority(0) // More intermediates than permitted by signer!
        .commonName("attacker intermediate")

    assertThrows(IllegalArgumentException.class, () -> intermediate.indexes(1, -1, 3));
  }

  public void testScale_indexes_varargs_tooHigh() {
    Quantiles.Scale intermediate = Quantiles.scale(10);
    assertThrows(IllegalArgumentException.class, () -> intermediate.indexes(1, 11, 3));
  }

  public void testScale_indexes_collection_negative() {

    assertThrows(IllegalArgumentException.class, () -> intermediate.indexes(1, -1, 3));
  }

  public void testScale_indexes_varargs_tooHigh() {
    Quantiles.Scale intermediate = Quantiles.scale(10);
    assertThrows(IllegalArgumentException.class, () -> intermediate.indexes(1, 11, 3));
  }

  public void testScale_indexes_collection_negative() {

 *
 * In this example the HTTP client already knows and trusts the last certificate, "Entrust Root
 * Certification Authority - G2". That certificate is used to verify the signature of the
 * intermediate certificate, "Entrust Certification Authority - L1M". The intermediate certificate
 * is used to verify the signature of the "www.squareup.com" certificate.
 *
 * This roles are reversed for client authentication. In that case the client has a private key and

   *
   * <p>This uses an efficient binary recursive algorithm to compute the factorial with balanced
   * multiplies. It also removes all the 2s from the intermediate products (shifting them back in at
   * the end).
   *
   * @throws IllegalArgumentException if {@code n < 0}
   */
  public static BigInteger factorial(int n) {
    checkNonNegative("n", n);

Follow these steps to run the Spark Pi example:

- Login as user **‘spark’**.
- When the job runs, the library can now use **MinIO** during intermediate processing.
- Navigate to a node with the Spark client and access the spark2-client directory:

```
cd /usr/hdp/current/spark2-client
su spark
```

  public boolean removeIfZero(K key) {
    return remove(key, 0);
  }

  /**
   * Removes all mappings from this map whose values are zero.
   *
   * <p>This method is not atomic: the map may be visible in intermediate states, where some of the
   * zero values have been removed and others have not.
   */
  public void removeAllZeros() {
    map.values().removeIf(x -> x == 0);
  }

  /**

We’ve included deprecated APIs in OkHttp 4.0 because they make migration easy. We will remove them
in a future release! If you’re skipping releases, it’ll be much easier if you upgrade to OkHttp 4.0
as an intermediate step.

#### Vars and Vals

Java doesn’t have language support for properties so developers make do with getters and setters.
Kotlin does have properties and we take advantage of them in OkHttp.

            task.attributes(attributes);
        });

        // Avoid overlapping outputs by copying exactly what we want from other intermediate tasks
        TaskProvider<Sync> userguide = tasks.register("userguide", Sync.class, task -> {
            task.setGroup("documentation");
            task.setDescription("Stages rendered user manual documentation.");

    EnumSetSupplier(Class<V> clazz) {
      this.clazz = checkNotNull(clazz);
    }

    @Override
    public Set<V> get() {
      return EnumSet.noneOf(clazz);
    }
  }

  /**
   * An intermediate stage in a {@link MultimapBuilder} in which the key-value collection map
   * implementation has been specified, but the value collection implementation has not.
   *