%    remainder              integers

&    bitwise AND            integers
|    bitwise OR             integers
^    bitwise XOR            integers
&^   bit clear (AND NOT)    integers

<<   left shift             integer << integer >= 0
>>   right shift            integer >> integer >= 0
</pre>

Keep in mind that JSON only supports `str` as keys.

But Pydantic has automatic data conversion.

This means that, even though your API clients can only send strings as keys, as long as those strings contain pure integers, Pydantic will convert them and validate them.

And the `dict` you receive as `weights` will actually have `int` keys and `float` values.

///

## Recap

```sh
export MINIO_ROOT_USER=<ACCESS_KEY>
export MINIO_ROOT_PASSWORD=<SECRET_KEY>
minio server http://host{1...n}/export{1...m}
```

> **NOTE:** In above example `n` and `m` represent positive integers, _do not copy paste and expect it work make the changes according to local deployment and setup_.

    assertEquals(foo, bar);

    List<Integer> list = asList(3, foo, bar, -1);
    List<Integer> result = numberOrdering.leastOf(list, list.size());
    assertEquals(ImmutableList.of(-1, 3, foo, bar), result);
  }

  public void testLeastOfIterator_ties() {
    Integer foo = new Integer(Integer.MAX_VALUE - 10);
    Integer bar = new Integer(Integer.MAX_VALUE - 10);

    assertNotSame(foo, bar);

    assertEquals(foo, bar);

    List<Integer> list = asList(3, foo, bar, -1);
    List<Integer> result = numberOrdering.leastOf(list, list.size());
    assertEquals(ImmutableList.of(-1, 3, foo, bar), result);
  }

  public void testLeastOfIterator_ties() {
    Integer foo = new Integer(Integer.MAX_VALUE - 10);
    Integer bar = new Integer(Integer.MAX_VALUE - 10);

    assertNotSame(foo, bar);

 *
 * @author mike nonemacher
 */

public class PopulatedCachesTest extends TestCase {
  // we use integers as keys; make sure the range covers some values that ARE cached by
  // Integer.valueOf(int), and some that are not cached. (127 is the highest cached value.)
  static final int WARMUP_MIN = 120;
  static final int WARMUP_MAX = 135;

*    product                integers, floats, complex values
/    quotient               integers, floats, complex values
%    remainder              integers

&    bitwise AND            integers
|    bitwise OR             integers
^    bitwise XOR            integers
&^   bit clear (AND NOT)    integers

<<   left shift             integer << integer >= 0

    int scale = Integer.MAX_VALUE;
    int otherIndex = (Integer.MAX_VALUE - 1) / 3; // this divides exactly
    // For the otherIndex calculation, we have q=Integer.MAX_VALUE, k=(Integer.MAX_VALUE-1)/3, and
    // N=16. Therefore k*(N-1)/q = 5-5/Integer.MAX_VALUE, which has floor 4 and fractional part
    // (1-5/Integer.MAX_VALUE).
    double otherValue = 16.0 * 5.0 / Integer.MAX_VALUE + 25.0 * (1.0 - 5.0 / Integer.MAX_VALUE);

  template <typename DataType>
  std::unique_ptr<ParallelTensor> ScalarsFromSequence(
      absl::Span<const DataType> values, TFE_Context* context,
      TF_Status* status) const;

  // A parallel tensor with scalar integers numbering component devices.
  std::unique_ptr<ParallelTensor> DeviceIDs(TFE_Context* context,
                                            TF_Status* status) const;

  // The number of devices operations run on.

 *
 * @author mike nonemacher
 */

public class PopulatedCachesTest extends TestCase {
  // we use integers as keys; make sure the range covers some values that ARE cached by
  // Integer.valueOf(int), and some that are not cached. (127 is the highest cached value.)
  static final int WARMUP_MIN = 120;
  static final int WARMUP_MAX = 135;