bazel test ${flags} //tensorflow/python/saved_model:load_test --test_filter=*LoadTest.test_capture_variables*
    ```

    **Note:** You can add `--test_sharding_strategy=disabled` to the `flags` to
    disable the sharding so that all the test outputs are in one file. However,
    it may slow down the tests for not running in parallel and may cause the
    test to timeout but it could be useful when you need to execute a single

Node metrics can be viewed in the Grafana dashboard using [json file here](https://raw.githubusercontent.com/minio/minio/master/docs/metrics/prometheus/grafana/node/minio-node.json)

![Grafana](https://raw.githubusercontent.com/minio/minio/master/docs/metrics/prometheus/grafana/node/grafana-node.png)

   * @return the converted instance; <b>must not</b> be null
   * @throws UnsupportedOperationException if backward conversion is not implemented; this should be
   *     very rare. Note that if backward conversion is not only unimplemented but
   *     unimplement<i>able</i> (for example, consider a {@code Converter<Chicken, ChickenNugget>}),
   *     then this is not logically a {@code Converter} at all, and should just implement {@link

* 次に、アプリケーションの残りの部分に**リクエスト**を渡して (*path operation* によって) 処理させます。
* 次に、ミドルウェアはアプリケーション (の *path operation*) によって生成された**レスポンス**を受け取ります。
* その**レスポンス**に対して何かを実行したり、必要なコードを実行したりできます。
* そして、**レスポンス**を返します。

/// note | "技術詳細"

`yield` を使った依存関係をもつ場合は、終了コードはミドルウェアの *後に* 実行されます。

バックグラウンドタスク (後述) がある場合は、それらは全てのミドルウェアの *後に* 実行されます。

///

## ミドルウェアの作成

ミドルウェアを作成するには、関数の上部でデコレータ `@app.middleware("http")` を使用します。

import java.util.regex.Pattern


/**
 * This is the definition of what constitutes the Gradle public API.
 *
 * A type is part of the Gradle public API if and only if its FQCN matches {@link #includes} and does not match {@link #excludes}.
 */
// NOTE: If you update this, please also change .idea/scopes/Gradle_public_API.xml
object PublicApi {
    val includes = listOf(
        "org/gradle/*",
        "org/gradle/api/**",

#   TF_BISECT_SCRIPT: The build script path relative to the TF root dir, e.g.
#     ci/official/wheel.sh
#   TFCI: The env config path, relative to the TF root dir, e.g.
#     ci/official/envs/an_env_config
#
# Note that you can combine bisect.sh with any.sh to bisect a single test:
#
#   export TFCI=...
#   export TF_BISECT_SCRIPT=ci/official/any.sh
#   export TF_BISECT_GOOD=a_good_commit_sha
#   export TF_BISECT_BAD=a_failing_commit_sha

buckets: # # Name of the bucket # - name: bucket1 # # Policy to be set on the # # bucket [none|download|upload|public] # policy: none # # Purge if bucket exists already # purge: false # # set versioning for # # bucket [true|false] # versioning: false # # set objectlocking for # # bucket [true|false] NOTE: versioning is enabled by default if you use locking # objectlocking: false # - name: bucket2 # policy: none # purge: false # versioning: true # # set objectlocking for # # bucket [true|false] NOTE:...

buckets: # # Name of the bucket # - name: bucket1 # # Policy to be set on the # # bucket [none|download|upload|public] # policy: none # # Purge if bucket exists already # purge: false # # set versioning for # # bucket [true|false] # versioning: false # # set objectlocking for # # bucket [true|false] NOTE: versioning is enabled by default if you use locking # objectlocking: false # - name: bucket2 # policy: none # purge: false # versioning: true # # set objectlocking for # # bucket [true|false] NOTE:...

 */
@ExperimentalOkHttpApi
interface Stream {
  val requestBody: BufferedSource
  val responseBody: BufferedSink

  /**
   * Terminate the stream so that no further data is transmitted or received. Note that
   * [requestBody] may return data after this call; that is the buffered data received before this
   * stream was canceled.
   *
   * This does nothing if [requestBody] and [responseBody] are already closed.
   *

TFCI_BAZEL_COMMON_ARGS="--repo_env=HERMETIC_PYTHON_VERSION=$TFCI_PYTHON_VERSION --config release_arm64_linux"
TFCI_BAZEL_TARGET_SELECTING_CONFIG_PREFIX=linux_arm64
# Note: this is not set to "--cpu", because that changes the package name
# to tensorflow_cpu. These ARM builds are supposed to have the name "tensorflow"
# despite lacking Nvidia CUDA support.