* existing values in the execution request that are controlled by the toolchains. Hence, it is expected that this
     * method is called on a new/empty execution request before the caller mutates it to fit its needs.
     *
     * @param request The execution request to populate, must not be {@code null}.
     * @param toolchains The toolchains to copy into the execution request, may be {@code null}.

    }
  }

  /**
   * Sets {@code table[index]} to {@code entry}, where {@code table} is actually a {@code byte[]},
   * {@code short[]}, or {@code int[]}. The value of {@code entry} should fit in the size of the
   * assigned array element, when seen as an unsigned value. So if {@code table} is a {@code byte[]}
   * then we should have {@code 0 ≤ entry ≤ 255}, and if {@code table} is a {@code short[]} then we

    }
  }

  /**
   * Sets {@code table[index]} to {@code entry}, where {@code table} is actually a {@code byte[]},
   * {@code short[]}, or {@code int[]}. The value of {@code entry} should fit in the size of the
   * assigned array element, when seen as an unsigned value. So if {@code table} is a {@code byte[]}
   * then we should have {@code 0 ≤ entry ≤ 255}, and if {@code table} is a {@code short[]} then we

   * @param arrays zero or more {@code int} arrays
   * @return a single array containing all the values from the source arrays, in order
   * @throws IllegalArgumentException if the total number of elements in {@code arrays} does not fit
   *     in an {@code int}
   */
  public static int[] concat(int[]... arrays) {
    long length = 0;
    for (int[] array : arrays) {
      length += array.length;
    }

   * @param arrays zero or more {@code long} arrays
   * @return a single array containing all the values from the source arrays, in order
   * @throws IllegalArgumentException if the total number of elements in {@code arrays} does not fit
   *     in an {@code int}
   */
  public static long[] concat(long[]... arrays) {
    long length = 0;
    for (long[] array : arrays) {
      length += array.length;
    }

  // okay since we have to copy the just-created array anyway.
  public static ImmutableLongArray of(long first, long... rest) {
    checkArgument(
        rest.length <= Integer.MAX_VALUE - 1, "the total number of elements must fit in an int");
    long[] array = new long[rest.length + 1];
    array[0] = first;
    System.arraycopy(rest, 0, array, 1, rest.length);
    return new ImmutableLongArray(array);
  }

  // okay since we have to copy the just-created array anyway.
  public static ImmutableIntArray of(int first, int... rest) {
    checkArgument(
        rest.length <= Integer.MAX_VALUE - 1, "the total number of elements must fit in an int");
    int[] array = new int[rest.length + 1];
    array[0] = first;
    System.arraycopy(rest, 0, array, 1, rest.length);
    return new ImmutableIntArray(array);
  }

   * @param arrays zero or more {@code double} arrays
   * @return a single array containing all the values from the source arrays, in order
   * @throws IllegalArgumentException if the total number of elements in {@code arrays} does not fit
   *     in an {@code int}
   */
  public static double[] concat(double[]... arrays) {
    long length = 0;
    for (double[] array : arrays) {
      length += array.length;
    }

---

**FastAPI** doesn't make any compromise with any database, data model or tool.

It gives you all the flexibility to choose the ones that fit your project the best.

And you can use directly many well maintained and widely used packages like `passlib` and `PyJWT`, because **FastAPI** doesn't require any complex mechanisms to integrate external packages.

*   `tf.keras`:

    *   `Model.fit` major improvements:
        *   You can now use custom training logic with `Model.fit` by overriding
            `Model.train_step`.
        *   Easily write state-of-the-art training loops without worrying about
            all of the features `Model.fit` handles for you (distribution
            strategies, callbacks, data formats, looping logic, etc)