*
     * @param input The file to deserialize the toolchains from, must not be {@code null}.
     * @param options The options to use for deserialization, may be {@code null} to use the default values.
     * @return The deserialized toolchains, never {@code null}.
     * @throws IOException If the toolchains could not be deserialized.
     * @throws ToolchainsParseException If the input format could not be parsed.
     */

  /**
   * Sets two distinct values for {@code type}. These values can be used for both null pointer
   * testing and equals testing.
   *
   * @since 17.0
   */
  protected final <T> void setDistinctValues(Class<T> type, T value1, T value2) {
    tester.setDistinctValues(type, value1, value2);
  }

  /** Specifies that classes that satisfy the given predicate aren't tested for sanity. */

///

## Duplicate headers { #duplicate-headers }

It is possible to receive duplicate headers. That means, the same header with multiple values.

You can define those cases using a list in the type declaration.

You will receive all the values from the duplicate header as a Python `list`.

For example, to declare a header of `X-Token` that can appear more than once, you can write:

        @Test
        @DisplayName("Should handle maximum values without overflow")
        void testMaximumValues() throws SMBProtocolDecodingException {
            FileFsFullSizeInformation info = new FileFsFullSizeInformation();
            byte[] buffer = new byte[32];

            // Set all bytes to 0xFF for maximum values
            for (int i = 0; i < buffer.length; i++) {

{* ../../docs_src/query_params/tutorial001_py310.py hl[9] *}

The query is the set of key-value pairs that go after the `?` in a URL, separated by `&` characters.

For example, in the URL:

```
http://127.0.0.1:8000/items/?skip=0&limit=10
```

...the query parameters are:

* `skip`: with a value of `0`
* `limit`: with a value of `10`

As they are part of the URL, they are "naturally" strings.

        nBestExamples = settings.get(NBEST_EXAMPLES);
    }

    private static String parse(String rule, Set<String> dup) {
        String[] values = CSVUtil.parse(rule);
        if (dup.add(values[0]) == false) {
            throw new IllegalArgumentException("Found duplicate term [" + values[0] + "] in user dictionary.");
        }
        return rule;
    }

package cmd

import "strconv"

func _() {
	// An "invalid array index" compiler error signifies that the constant values have changed.
	// Re-run the stringer command to generate them again.
	var x [1]struct{}
	_ = x[invalidVersionType-0]
	_ = x[ObjectType-1]
	_ = x[DeleteType-2]
	_ = x[LegacyType-3]
	_ = x[lastVersionType-4]
}

   * Thus, calls like asMap().values().remove(someList) are safe because they are comparing a list
   * to a collection of other lists.
   */
  @SuppressWarnings("CollectionUndefinedEquality")
  public void testValuesRemove() {
    resetContainer(mapEntry(k0(), v0()), mapEntry(k1(), v0()), mapEntry(k0(), v3()));
    assertTrue(multimap().asMap().values().remove(singletonList(v0())));

   * Thus, calls like asMap().values().remove(someList) are safe because they are comparing a list
   * to a collection of other lists.
   */
  @SuppressWarnings("CollectionUndefinedEquality")
  public void testValuesRemove() {
    resetContainer(mapEntry(k0(), v0()), mapEntry(k1(), v0()), mapEntry(k0(), v3()));
    assertTrue(multimap().asMap().values().remove(singletonList(v0())));

        setErrorCount_PercentileRanks(values, null);
    }

    public void setErrorCount_PercentileRanks(double[] values, ConditionOptionCall<PercentileRanksAggregationBuilder> opLambda) {
        setErrorCount_PercentileRanks("errorCount", values, opLambda);
    }

    public void setErrorCount_PercentileRanks(String name, double[] values,