int64_t list_size;

  // Type of elements of the list if is_list != 0.
  // Type of the single value stored in the attribute if is_list == 0.
  TF_AttrType type;

  // Total size the attribute value.
  // The units of total_size depend on is_list and type.
  // (1) If type == TF_ATTR_STRING and is_list == 0
  //     then total_size is the byte size of the string
  //     valued attribute.

このシナリオでは、清掃員 (あなたを含む) のそれぞれがプロセッサとなり、それぞれの役割を果たします。

また、実行時間のほとんどは (待機ではなく) 実際の作業に費やされ、コンピュータでの作業は<abbr title="Central Processing Unit">CPU</abbr>によって行われます。これらの問題は「CPUバウンド」と言います。

---

CPUバウンド操作の一般的な例は、複雑な数学処理が必要なものです。

例えば:

* **オーディオ** や **画像処理**。
* **コンピュータビジョン**: 画像は数百万のピクセルで構成され、各ピクセルには3つの値/色があり、通常、これらのピクセルで何かを同時に計算する必要がある処理。

- sigs.k8s.io/kustomize/kyaml: v0.11.0 → v0.13.0

### Removed
- cloud.google.com/go/datastore: v1.1.0
- cloud.google.com/go/pubsub: v1.2.0
- github.com/alecthomas/units: [f65c72e](https://github.com/alecthomas/units/tree/f65c72e)
- github.com/coreos/bbolt: [v1.3.2](https://github.com/coreos/bbolt/tree/v1.3.2)
- github.com/coreos/etcd: [v3.3.13+incompatible](https://github.com/coreos/etcd/tree/v3.3.13)

    val maxConcurrentStreams = AtomicInteger()
    val listener: Http2Connection.Listener =
      object : Http2Connection.Listener() {
        override fun onStream(stream: Http2Stream): Unit = throw AssertionError()

        override fun onSettings(
          connection: Http2Connection,
          settings: Settings,
        ) {
          maxConcurrentStreams.set(settings.getMaxConcurrentStreams())

$result: $result + 1;\n    }\n  }\n  $result: $result * $factor * $sign;\n  $dividend-unit: unit($dividend);\n  $divisor-unit: unit($divisor);\n  $unit-map: (\n    \"px\": 1px,\n    \"rem\": 1rem,\n    \"em\": 1em,\n    \"%\": 1%\n  );\n  @if ($dividend-unit != $divisor-unit and map-has-key($unit-map, $dividend-unit)) {\n    $result: $result * map-get($unit-map, $dividend-unit);\n  }\n  @return $result;\n}\n\n// Remove px-unit from $rfs-base-font-size for calculations\n@if $rfs-base-font-size-unit == \"px\"...

- github.com/Microsoft/go-winio: [v0.4.17 → v0.6.0](https://github.com/Microsoft/go-winio/compare/v0.4.17...v0.6.0)
- github.com/alecthomas/units: [f65c72e → b94a6e3](https://github.com/alecthomas/units/compare/f65c72e...b94a6e3)
- github.com/cenkalti/backoff/v4: [v4.1.3 → v4.2.1](https://github.com/cenkalti/backoff/v4/compare/v4.1.3...v4.2.1)

*   Upgrading the kubernetes-master units now results in staged upgrades just like the kubernetes-worker nodes. Use the upgrade action in order to continue the upgrade process on each unit such as juju run-action kubernetes-master/0 upgrade ([#55990](https://github.com/kubernetes/kubernetes/pull/55990),[ @hyperbolic2346](https://github.com/hyperbolic2346))

        the check on main_op was previously only done at load time.
    *   The protocol used for Estimator training is now configurable in
        RunConfig.
    *   Triangular solve performance improvements.
    *   Unify RNN cell interface between TF and Keras. Add new
        get_initial_state() to Keras and TF RNN cell, which will use to replace
        the existing zero_state() method.
    *   Update initialization of variables in Keras.

  returns `nil`. (It now returns a pointer to a zero-valued object, like the real
  clients do.) This will break some downstream unit tests that were testing
  `result == nil` rather than `err != nil`, and in some cases may expose bugs

		//
		// import org.apache.spark.sql.SparkSession
		// import org.apache.spark.sql.types.{IntegerType, StringType, StructField, StructType}
		// object SparkJSONRead {
		//   def main(args: Array[String]): Unit = {
		//     val spark:SparkSession = SparkSession.builder()
		//       .appName("SparkByExample")
		//       .master("local[1]").getOrCreate()
		//
		//     spark.sparkContext.setLogLevel("ERROR")