```JSON
{"item_id":"foo"}
```

## Tip İçeren Yol Parametreleri

Standart Python tip belirteçlerini kullanarak yol parametresinin tipini fonksiyonun içerisinde tanımlayabilirsiniz.

{* ../../docs_src/path_params/tutorial002.py hl[7] *}

Bu durumda, `item_id` bir `int` olarak tanımlanacaktır.

grpcio >= 1.68.1, < 2.0
portpicker == 1.6.0
# Scipy 15.x and above have misc.derivative removed, but we still use it
scipy >= 1.13.0, < 1.15.0
requests >= 2.31.0
packaging==23.2
setuptools==78.1.1
jax==0.4.7
zstandard==0.23.0
# The dependencies below are needed for TF wheel testing.
tensorflow-io-gcs-filesystem==0.37.1 ; python_version <= "3.12"
libclang >= 13.0.0
google_pasta ~= 0.2

 */
package okhttp3.zstd

import com.squareup.zstd.okio.zstdDecompress
import okhttp3.CompressionInterceptor
import okio.BufferedSource
import okio.Source

/**
 * Support for Zstandard encoding. Use via the [CompressionInterceptor].
 */
object Zstd : CompressionInterceptor.DecompressionAlgorithm {
  override val encoding: String get() = "zstd"

size, disability, ethnicity, gender identity and expression, level of
experience, nationality, personal appearance, race, religion, or sexual identity
and orientation.

## Our Standards

Examples of behavior that contributes to creating a positive environment include:

*   Using welcoming and inclusive language.
*   Being respectful of differing viewpoints and experiences.

Voor nu hoef je alleen te weten dat `Annotated` bestaat en dat het standaard Python is. 😎

Later zul je zien hoe **krachtig** het kan zijn.

/// tip

3. **Follow** the coding standards: `mvn formatter:format`
4. **Add** comprehensive tests for new functionality
5. **Commit** your changes: `git commit -m 'Add amazing feature'`
6. **Push** to the branch: `git push origin feature/amazing-feature`
7. **Submit** a Pull Request with detailed description

### Code Standards
- Follow the project's Eclipse formatter configuration

    * **Robust**: Erhalten Sie produktionsbereiten Code. Mit automatischer, interaktiver Dokumentation.

- External credential provider plugins will now have their standard error output logged by kubelet upon failures. ([#117448](https://github.com/kubernetes/kubernetes/pull/117448), [@cartermckinnon](https://github.com/cartermckinnon))

grpcio >= 1.68.1, < 2.0
portpicker == 1.6.0
# Scipy 15.x and above have misc.derivative removed, but we still use it
scipy >= 1.13.0, < 1.15.0
requests >= 2.31.0
packaging==23.2
setuptools==78.1.1
jax==0.4.7
zstandard==0.23.0
# The dependencies below are needed for TF wheel testing.
tensorflow-io-gcs-filesystem==0.37.1 ; python_version <= "3.12"
libclang >= 13.0.0
google_pasta ~= 0.2

    - `apiserver_flowcontrol_demand_seats_average`: Time-weighted average, over last adjustment period, of demand_seats
    - `apiserver_flowcontrol_demand_seats_stdev`: Time-weighted standard deviation, over last adjustment period, of demand_seats
    - `apiserver_flowcontrol_demand_seats_smoothed`: Smoothed seat demands
    - `apiserver_flowcontrol_target_seats`: Seat allocation targets