/*
 * Copyright (C) 2014 The Guava Authors
 *
 * Licensed under the Apache License, Version 2.0 (the "License");
 * you may not use this file except in compliance with the License.
 * You may obtain a copy of the License at
 *
 * http://www.apache.org/licenses/LICENSE-2.0
 *
 * Unless required by applicable law or agreed to in writing, software
 * distributed under the License is distributed on an "AS IS" BASIS,

/*
 * Copyright (C) 2014 The Guava Authors
 *
 * Licensed under the Apache License, Version 2.0 (the "License");
 * you may not use this file except in compliance with the License.
 * You may obtain a copy of the License at
 *
 * http://www.apache.org/licenses/LICENSE-2.0
 *
 * Unless required by applicable law or agreed to in writing, software
 * distributed under the License is distributed on an "AS IS" BASIS,

/*
 * Copyright (C) 2014 The Guava Authors
 *
 * Licensed under the Apache License, Version 2.0 (the "License");
 * you may not use this file except in compliance with the License.
 * You may obtain a copy of the License at
 *
 * http://www.apache.org/licenses/LICENSE-2.0
 *
 * Unless required by applicable law or agreed to in writing, software
 * distributed under the License is distributed on an "AS IS" BASIS,

* `id`
* `name`
* `age`
* `secret_name`

{* ../../docs_src/sql_databases/tutorial002_an_py310.py ln[7:14] hl[12:14] *}

#### `HeroPublic` - el *modelo de datos* público

A continuación, creamos un modelo `HeroPublic`, este es el que será **devuelto** a los clientes de la API.

    test or more in general your filtered/selected tests have a very low
    execution time and the sharding
    [could create an overhead on the test execution](https://github.com/bazelbuild/bazel/issues/2113#issuecomment-264054799).

2.  Using [Docker](https://www.docker.com) and TensorFlow's CI scripts.

    ```bash
    # Install Docker first, then this will build and run cpu tests

    testSortDescending(new double[] {1, 2}, new double[] {2, 1});
    testSortDescending(new double[] {1, 3, 1}, new double[] {3, 1, 1});
    testSortDescending(new double[] {-1, 1, -2, 2}, new double[] {2, 1, -1, -2});
    testSortDescending(
        new double[] {-1, 1, Double.NaN, -2, -0.0, 0, 2},
        new double[] {Double.NaN, 2, 1, 0, -0.0, -1, -2});
  }

    testSortDescending(new long[] {1, 2}, new long[] {2, 1});
    testSortDescending(new long[] {1, 3, 1}, new long[] {3, 1, 1});
    testSortDescending(new long[] {-1, 1, -2, 2}, new long[] {2, 1, -1, -2});
  }

  private static void testSortDescending(long[] input, long[] expectedOutput) {
    input = Arrays.copyOf(input, input.length);
    Longs.sortDescending(input);

    testSortDescending(new short[] {1, 2}, new short[] {2, 1});
    testSortDescending(new short[] {1, 3, 1}, new short[] {3, 1, 1});
    testSortDescending(new short[] {-1, 1, -2, 2}, new short[] {2, 1, -1, -2});
  }

  private static void testSortDescending(short[] input, short[] expectedOutput) {
    input = Arrays.copyOf(input, input.length);
    Shorts.sortDescending(input);

    testSortDescending(new float[] {1, 2}, new float[] {2, 1});
    testSortDescending(new float[] {1, 3, 1}, new float[] {3, 1, 1});
    testSortDescending(new float[] {-1, 1, -2, 2}, new float[] {2, 1, -1, -2});
    testSortDescending(
        new float[] {-1, 1, Float.NaN, -2, -0f, 0, 2},
        new float[] {Float.NaN, 2, 1, 0, -0f, -1, -2});
  }

    testSortDescending(new int[] {1, 2}, new int[] {2, 1});
    testSortDescending(new int[] {1, 3, 1}, new int[] {3, 1, 1});
    testSortDescending(new int[] {-1, 1, -2, 2}, new int[] {2, 1, -1, -2});
  }

  private static void testSortDescending(int[] input, int[] expectedOutput) {
    input = Arrays.copyOf(input, input.length);
    Ints.sortDescending(input);