This is here only to preview a site with translations already built.

    Make sure you run the build-all command first.
    """
    typer.echo("Warning: this is a very simple server.")
    typer.echo("For development, use the command live instead.")
    typer.echo("This is here only to preview a site with translations already built.")

    writer.frameHeader(0, newMaxFrameSize, Http2.TYPE_DATA, FLAG_NONE)
  }

  @Test fun streamIdHasReservedBit() {
    val writer = Http2Writer(Buffer(), true)
    assertFailsWith<IllegalArgumentException> {
      var streamId = 3
      streamId = streamId or (1L shl 31).toInt() // set reserved bit
      writer.frameHeader(streamId, Http2.INITIAL_MAX_FRAME_SIZE, Http2.TYPE_DATA, FLAG_NONE)
    }.also { expected ->

        val languages = projectLayoutSetupRegistry.getLanguagesFor(descriptor.componentType)
        var exampleClass = if (descriptor.componentType === ComponentType.LIBRARY) "Library" else "App"
        val testFileSuffix = if (descriptor.language === Language.SCALA) "Suite" else "Test"
        val sourceFile: String

   * granted only 100ms ago, then we wait for another 100ms. At this rate, serving 15 fresh permits
   * (i.e. for an acquire(15) request) naturally takes 3 seconds.
   *
   * It is important to realize that such a RateLimiter has a very superficial memory of the past:
   * it only remembers the last request. What if the RateLimiter was unused for a long period of
   * time, then a request arrived and was immediately granted? This RateLimiter would immediately

- Select a Adoptium Java 17 VM as "Gradle JVM"
- Revert the Git changes to files in the `.idea` folder

NOTE: Due to the project size, the very first import can take a while and IntelliJ might become unresponsive for several seconds during this period.

// Description of the TensorFlow op to execute.
//
// Assumes that the provided 'ctx' outlives the returned TFE_Op, i.e.,
// TFE_DeleteOp() is called before TFE_DeleteContext().
//
// Very similar to TF_OperationDescription with some differences:
// (1) TF_Output or TFE_TensorHandle* as arguments to TF_AddInput,
//     TF_AddInputList
// (2) TF_ColocateWith, TF_AddControlInput etc. do not make sense.

これは、コマンド`serve`で提供できます:

<div class="termy">

```console
// 「build-all」コマンドの実行の後に、「serve」コマンドを使います
$ python ./scripts/docs.py serve

Warning: this is a very simple server. For development, use mkdocs serve instead.
This is here only to preview a site with translations already built.
Make sure you run the build-all command first.
Serving at: http://127.0.0.1:8008
```

// setting the same key will lead to errors.
//
// Note that the key-values are only expected to be used for cluster
// configuration data, and should not be used for storing a large amount of data
// or being accessed very frequently.
TF_CAPI_EXPORT extern void TFE_InsertConfigKeyValue(TFE_Context* ctx,
                                                    const char* key,
                                                    const char* value,

			return nil
		}, index)
	}

	errs := g.Wait()
	if err := reduceReadQuorumErrs(ctx, errs, bucketOpIgnoredErrs, (len(localDrives) / 2)); err != nil {
		return BucketInfo{}, err
	}

	var bucketInfo BucketInfo
	for i, err := range errs {
		if err == nil {
			bucketInfo = bucketsInfo[i]
			break
		}
	}

	return bucketInfo, nil
}

    data.write("880203ee".decodeHex()) // Close with code 1006
    for (i in 1015..2999) {
      data.write(("8802" + format("%04X", i)).decodeHex()) // Close with code 'i'
    }
    var count = 0
    while (!data.exhausted()) {
      assertFailsWith<ProtocolException> {
        clientReader.processNextFrame()
      }.also { expected ->
        assertThat(expected.message!!)