Los mismos modelos son compartidos entre requests, por lo que no es un modelo por request, o uno por usuario o algo similar.

Imaginemos que cargar el modelo puede **tomar bastante tiempo**, porque tiene que leer muchos **datos del disco**. Entonces no quieres hacerlo para cada request.

 *
 * <p>The time taken to compute multiple quantiles on the same dataset using {@link Scale#indexes
 * indexes} is generally less than the total time taken to compute each of them separately, and
 * sometimes much less. For example, on a large enough dataset, computing the 90th and 99th
 * percentiles together takes about 55% as long as computing them separately.
 *

#result .favorited i {
	color: #fab005;
}

#result .thumbnail {
	width: 100px;
	min-height: 30px;
	background-position: 50% 50%;
	background-repeat: no-repeat;
}

/* Extra small devices (less than 576px) */

@media (max-width: 575.98px) {
	.mainLogo img {
		width: 200px;
	}
	.searchFormBox {
		margin-top: 4em;
	}
	#result .info {
		display: none;
	}
	#result .more {

    assertLessThan(STOPPING, TERMINATED);
  }

  private static <T extends Comparable<? super T>> void assertLessThan(T a, T b) {
    if (a.compareTo(b) >= 0) {
      fail(String.format(Locale.ROOT, "Expected %s to be less than %s", a, b));
    }
  }

	}

	if setDriveCount > 2 {
		if ssParity > setDriveCount/2 {
			return fmt.Errorf("Standard storage class parity %d should be less than or equal to %d", ssParity, setDriveCount/2)
		}

		if rrsParity > setDriveCount/2 {
			return fmt.Errorf("Reduced redundancy storage class parity %d should be less than or equal to %d", rrsParity, setDriveCount/2)
		}
	}

	if ssParity > 0 && rrsParity > 0 {
		if ssParity < rrsParity {

        .test();
  }

  public void testRoundToDouble_twoToThe54PlusOne() {
    double twoToThe54 = Math.pow(2, 54);
    // the representable doubles are 2^54 and 2^54 + 4
    // 2^54+1 is less than halfway between, so HALF_DOWN and HALF_UP will both go down.
    new RoundToDoubleTester(BigDecimal.valueOf((1L << 54) + 1))
        .setExpectation(twoToThe54, DOWN, FLOOR, HALF_DOWN, HALF_UP, HALF_EVEN)

	Lt(gte).Build(builder)
}

// Lt less than for where
type Lt Eq

func (lt Lt) Build(builder Builder) {
	builder.WriteQuoted(lt.Column)
	builder.WriteString(" < ")
	builder.AddVar(builder, lt.Value)
}

func (lt Lt) NegationBuild(builder Builder) {
	Gte(lt).Build(builder)
}

// Lte less than or equal to for where
type Lte Eq

    IndexOutOfBoundsException expected =
        assertThrows(IndexOutOfBoundsException.class, () -> checkElementIndex(1, 1));
    assertThat(expected).hasMessageThat().isEqualTo("index (1) must be less than size (1)");
  }

  public void testCheckElementIndex_withDesc_negative() {
    IndexOutOfBoundsException expected =
        assertThrows(IndexOutOfBoundsException.class, () -> checkElementIndex(-1, 1, "foo"));

   * @param value any value in the range of the {@code int} type
   * @return the {@code int} value that equals {@code value}
   * @throws IllegalArgumentException if {@code value} is greater than {@link Integer#MAX_VALUE} or
   *     less than {@link Integer#MIN_VALUE}
   */
  public static int checkedCast(long value) {
    int result = (int) value;
    checkArgument(result == value, "Out of range: %s", value);
    return result;
  }

  /**

   * minimum hashtable size, whichever is greater.
   */
  static int tableSize(int expectedSize) {
    // We use entries next == 0 to indicate UNSET, so actual capacity is 1 less than requested.
    return max(MIN_HASH_TABLE_SIZE, Hashing.closedTableSize(expectedSize + 1, 1.0));
  }

  /** Creates and returns a properly-sized array with the given number of buckets. */