}

	toEncode := io.Reader(data)
	if data.Size() > bigFileThreshold {
		// Add input readahead.
		// We use 2 buffers, so we always have a full buffer of input.
		pool := globalBytePoolCap.Load()
		bufA := pool.Get()
		bufB := pool.Get()
		defer pool.Put(bufA)
		defer pool.Put(bufB)

derives a key from the given label and context. func (kdf *CounterKDF) DeriveKey(label byte, context [12]byte) [32]byte { fips140.RecordApproved() var output [32]byte var input [aes.BlockSize]byte input[2] = label copy(input[4:], context[:]) input[1] = 0x01 // i = 1 K1 := kdf.mac.MAC(input[:]) input[1] = 0x02 // i = 2 K2 := kdf.mac.MAC(input[:]) copy(output[:], K1[:]) copy(output[aes.BlockSize:], K2[:]) return output } golang.org/fips140@v1.26.0/fips140/v1.26.0/aes/gcm/gcm.go // Copyright 2013 The Go Authors....

     */
    protected EditBody createEditBody(final StopwordsItem entity, final String dictId) {
        final EditBody body = new EditBody();
        body.id = entity.getId();
        body.dictId = dictId;
        body.input = entity.getInputValue();
        return body;
    }

    }
    return string;
  }

  /**
   * Returns the escaped form of the given character, or {@code null} if this character does not
   * need to be escaped. If an empty array is returned, this effectively strips the input character
   * from the resulting text.
   *
   * <p>If the character does not need to be escaped, this method should return {@code null}, rather

# inside the TensorFlow root directory. We then define them as a filegroup
# target inside "tensorflow/tools/toolchains/cross_compile/cc" so that Bazel
# can register it as an input to compile/link actions and send it to the remote
# VMs when needed.
# TODO(b/316932689): Avoid copying and replace with a local repository rule.
if [[ "$TFCI_MACOS_CROSS_COMPILE_ENABLE" == 1 ]]; then

* Fix the CPU frequency to avoid Turbo Boost from kicking in and skewing your results. On Linux you can use `cpufreq-set` and the
  `performance` CPU governor.
* Vary the problem input size with `@Param`.
* Use the integrated profilers in JMH to dig deeper if benchmark results to not match your hypotheses:
    * Add `-prof gc` to the options to check whether the garbage collector runs during a microbenchmarks and skews

            KeyMap<Binding> keyMap = reader.getKeyMaps().get("main");
            keyMap.bind(new Reference("tailtip-toggle"), KeyMap.alt("s"));

            // start the shell and process input until the user quits with Ctrl-D
            AtomicReference<Exception> failure = new AtomicReference<>();
            while (true) {
                try {
                    failure.set(null);

...沒有加上必填的 `needy` 參數，你會看到類似這樣的錯誤：

```JSON
{
  "detail": [
    {
      "type": "missing",
      "loc": [
        "query",
        "needy"
      ],
      "msg": "Field required",
      "input": null
    }
  ]
}
```

由於 `needy` 是必填參數，你需要在 URL 中設定它：

```
http://127.0.0.1:8000/items/foo-item?needy=sooooneedy
```

...這樣就會成功：

```JSON
{

```JSON
{
  "detail": [
    {
      "type": "int_parsing",
      "loc": [
        "path",
        "item_id"
      ],
      "msg": "Input should be a valid integer, unable to parse string as an integer",
      "input": "foo"
    }
  ]
}
```

これは、パスパラメータ `item_id` が `int` ではない値 `"foo"` だからです。

   * values in the list are not supported.
   *
   * <p>The returned comparator throws a {@link ClassCastException} when it receives an input
   * parameter that isn't among the provided values.
   *
   * <p>The generated comparator is serializable if all the provided values are serializable.
   *