astor == 0.7.1
typing_extensions == 4.8.0
gast == 0.4.0
termcolor == 2.3.0
wrapt == 1.16.0
tblib == 2.0.0

# Install tensorboard, and keras
# Note that here we want the latest version that matches TF major.minor version
# Note that we must use nightly here as these are used in nightly jobs
# For release jobs, we will pin these on the release branch
keras-nightly ~= 3.0.0.dev
tb-nightly ~= 2.17.0.a

# Test dependencies

| [`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

(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)

API changes and other small changes to the standard library go here....

    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.

## Prerequisites

- Prometheus and MinIO configured as explained in [document here](https://github.com/minio/minio/blob/master/docs/metrics/prometheus/README.md).
- Grafana installed as explained [here](https://grafana.com/grafana/download).

## MinIO Grafana Dashboard

    * 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()

import jetbrains.buildServer.configs.kotlin.AbsoluteId
import jetbrains.buildServer.configs.kotlin.DslContext

fun DslContext.initForTest() {
    // Set the project id here, so we can use methods on the DslContext
    parentProjectId = AbsoluteId("Gradle")
    projectId = AbsoluteId("Gradle_Master")
    settingsRootId = AbsoluteId("GradleMaster")
    settingsRoot.name = "GradleMaster"
    addParameters("Branch" to "master")

# `APIRouter` class

Here's the reference information for the `APIRouter` class, with all its parameters, attributes and methods.

You can import the `APIRouter` class directly from `fastapi`:

```python
from fastapi import APIRouter
```

::: fastapi.APIRouter
    options:
        members:
            - websocket
            - include_router
            - get
            - put
            - post
            - delete