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     * [proxyAuthenticator] to set the authenticator for proxy servers.
     *
     * If unset, the [no authentication will be attempted][Authenticator.NONE].
     */
    fun authenticator(authenticator: Authenticator) =
      apply {
        this.authenticator = authenticator
      }

    /** Configure this client to follow redirects. If unset, redirects will be followed. */
    fun followRedirects(followRedirects: Boolean) =

* `path` - The filepath to the file to stream.
* `headers` - Any custom headers to include, as a dictionary.
* `media_type` - A string giving the media type. If unset, the filename or path will be used to infer a media type.
* `filename` - If set, this will be included in the response `Content-Disposition`.

from the `envs` directory that is filled with configuration options:

-   Nightly jobs (Run nightly on the `nightly` branch)
    -   Uses `wheel.sh`, `libtensorflow.sh`, `code_check_full.sh`
-   Continuous jobs (Run on every GitHub commit)
    -   Uses `pycpp.sh`
-   Presubmit jobs (Run on every GitHub PR)
    -   Uses `pycpp.sh`, `code_check_changed_files.sh`

These "env" files match up with an environment matrix that roughly covers:

  // one StatefulSet to another.
  // If set, replica indices will be in the range:
  //   [.spec.ordinals.start, .spec.ordinals.start + .spec.replicas).
  // If unset, defaults to 0. Replica indices will be in the range:
  //   [0, .spec.replicas).
  // +optional
  optional int32 start = 1;
}

// StatefulSetPersistentVolumeClaimRetentionPolicy describes the policy used for PVCs

  /**
   * Invoked when a call is assigned a particular connection.
   */
  open fun connectionAcquired(
    connection: Connection,
    call: Call,
  ) {}

  /**
   * Invoked when a call no longer uses a connection.
   */
  open fun connectionReleased(
    connection: Connection,
    call: Call,
  ) {}

  /**
   * Invoked when a connection is marked for no new exchanges.
   */

This is the same you would do if you followed the Peewee tutorial and updated the models to have the same data as in the SQLAlchemy tutorial.

!!! tip
    Peewee also uses the term "**model**" to refer to these classes and instances that interact with the database.

    But Pydantic also uses the term "**model**" to refer to something different, the data validation, conversion, and documentation classes and instances.

### Используйте параметр `response_model_exclude_unset`

Установите для *декоратора операции пути* параметр `response_model_exclude_unset=True`:

=== "Python 3.10+"

    ```Python hl_lines="22"
    {!> ../../../docs_src/response_model/tutorial004_py310.py!}
    ```

=== "Python 3.9+"

  // remaining items is unknown and the field will be left unset and omitted during serialization.
  // If the list is complete (either because it is not chunking or because this is the last chunk),
  // then there are no more remaining items and this field will be left unset and omitted during
  // serialization.
  // Servers older than v1.15 do not set this field.

        private
        val OLD_RELEASE_PATTERN = "release(\\d+)x".toRegex()

        fun fromDslContext(): VersionedSettingsBranch {
            val branch = DslContext.getParameter("Branch")
            // TeamCity uses a dummy name when first running the DSL
            if (branch.contains("placeholder-1")) {
                return VersionedSettingsBranch(MASTER_BRANCH)
            }
            return VersionedSettingsBranch(branch)