* both run on the same bare metal. Some builds require exclusive access to the
 * hardware resources (e.g. performance test).
 */
fun Requirements.requiresNotSharedHost() {
    doesNotContain("agent.host.type", "shared")
}

/**
 * This is an undocumented location that forbids anonymous access.
 * We put artifacts here to avoid accidentally exposing sensitive information publicly.
 */

## Development

By the time I started creating **FastAPI** itself, most of the pieces were already in place, the design was defined, the requirements and tools were ready, and the knowledge about the standards and specifications was clear and fresh.

## Future

(we highly recommend to name this branch without prefix and hyphen (`-`) because it's used to generate build type ID) and want to
test these changes without affecting `master`/`release` pipeline. Here are the instructions.

- Click the left sidebar "VCS Roots" here and create a VCS root [here](https://builds.gradle.org/admin/editProject.html?projectId=Gradle&cameFromUrl=%2Fproject.html%3FprojectId%3DGradle%26tab%3DprojectOverview%26branch_Gradle_Master_Check%3Dmaster)

    * Standard Python `Decimal`.
    * In requests and responses, handled the same as a `float`.
* You can check all the valid pydantic data types here: <a href="https://docs.pydantic.dev/latest/usage/types/types/" class="external-link" target="_blank">Pydantic data types</a>.

## Example

Here's an example *path operation* with parameters using some of the above types.

=== "Python 3.10+"

    ```Python hl_lines="1  3  12-16"

      arrayOf(
        TlsVersion.TLS_1_2,
        TlsVersion.TLS_1_1,
        TlsVersion.TLS_1_0,
      )
    var socket = createSocketWithEnabledProtocols(*enabledSocketTlsVersions)

    // MODERN_TLS is used here.
    val attempt0 =
      routePlanner.planConnectToRoute(route)
        .planWithCurrentOrInitialConnectionSpec(connectionSpecs, socket)
    assertThat(attempt0.isTlsFallback).isFalse()

| [`NSQ`](#NSQ)                     |                             |                                 |

## Prerequisites

- Install and configure MinIO Server from [here](https://min.io/docs/minio/linux/index.html#procedure).
- Install and configure MinIO Client from [here](https://min.io/docs/minio/linux/reference/minio-mc.html#quickstart).

```
$ mc admin config get myminio | grep notify

    Because Pewee doesn't play well with anything async and there are better alternatives, I won't update these docs for Pydantic v2, they are kept for now only for historical purposes.

    The examples here are no longer tested in CI (as they were before).

If you are starting a project from scratch, you are probably better off with SQLAlchemy ORM ([SQL (Relational) Databases](../tutorial/sql-databases.md){.internal-link target=_blank}), or any other async ORM.

    bufferA.writeUtf8("Dodgson, we've got Dodgson here!\n")
    operatorA.write(36, bufferA, 33)
    operatorB.read(0, bufferB, 9)
    assertThat(bufferB.readUtf8()).isEqualTo("Dodgson!\n")
    operatorA.read(9, bufferA, 27)
    assertThat(bufferA.readUtf8()).isEqualTo("You shouldn't use my name.\n")
    operatorB.read(36, bufferB, 33)
    assertThat(bufferB.readUtf8()).isEqualTo("Dodgson, we've got Dodgson here!\n")
  }

  @Test

be required before going through the steps below. This is due to the new Python
versions becoming available through `rules-python`. \
See
[here](https://github.com/tensorflow/tensorflow/commit/f91457f258fdd78f693044a57efa63a38335d1de),
and
[here](https://github.com/tensorflow/tensorflow/commit/052445e04ce20fd747657e0198a1bcec2b6dff5b),
for an example.

See

against a pending change. Search for "MLCI" internally to find it.

You may invoke a CI script of your choice by following these instructions:

```bash
cd tensorflow-git-dir

# Here is a single-line example of running a script on Linux to build the
# GPU version of TensorFlow for Python 3.12, using the public TF bazel cache and
# a local build cache: