under the License.
-->

<!--
 | This is the configuration file for Maven. It can be specified at two levels:
 |
 |  1. User Level. This settings.xml file provides configuration for a single user,
 |                 and is normally provided in ${user.home}/.m2/settings.xml.
 |
 |                 NOTE: This location can be overridden with the CLI option:
 |
 |                 -s /path/to/user/settings.xml
 |

* The *path* can contain an <a href="https://github.com/OAI/OpenAPI-Specification/blob/master/versions/3.1.0.md#key-expression" class="external-link" target="_blank">OpenAPI 3 expression</a> (see more below) where it can use variables with parameters and parts of the original request sent to *your API*.

# Including WSGI - Flask, Django, others { #including-wsgi-flask-django-others }

You can mount WSGI applications as you saw with [Sub Applications - Mounts](sub-applications.md){.internal-link target=_blank}, [Behind a Proxy](behind-a-proxy.md){.internal-link target=_blank}.

For that, you can use the `WSGIMiddleware` and use it to wrap your WSGI application, for example, Flask, Django, etc.

## Using `WSGIMiddleware` { #using-wsgimiddleware }

# MinIO Multi-user Quickstart Guide [![Slack](https://slack.min.io/slack?type=svg)](https://slack.min.io)

MinIO supports multiple long term users in addition to default user created during server startup. New users can be added after server starts up, and server can be configured to deny or allow access to buckets and resources to each of these users. This document explains how to add/remove users and modify their access rights.

## Get started

under the License.
-->

<!--
 | This is the toolchains file for Maven. It can be specified at two levels:
 |
 |  1. User Level. This toolchains.xml file provides configuration for a single user,
 |                 and is normally provided in ${user.home}/.m2/toolchains.xml.
 |
 |                 NOTE: This location can be overridden with the CLI option:
 |
 |                 -t /path/to/user/toolchains.xml
 |

# license that can be found in the LICENSE file.

SOURCE="${BASH_SOURCE[0]}"
while [ -h "$SOURCE" ]; do
	DIR="$( cd -P "$( dirname "$SOURCE" )" && pwd )"
	SOURCE="$(readlink "$SOURCE")"
	[[ $SOURCE != /* ]] && SOURCE="$DIR/$SOURCE"
done
DIR="$( cd -P "$( dirname "$SOURCE" )" && pwd )"

# Increase the V8 stack size from the default of 984K
# to 8192K to ensure all tests can pass without hitting
# stack size limits.

   
   Apparently, your CPU model does not support AVX instruction sets. You can still use TensorFlow with the alternatives given below:
   
      * Try Google Colab to use TensorFlow.
         * The easiest way to use TF will be to switch to [google colab](https://colab.sandbox.google.com/notebooks/welcome.ipynb#recent=true). You get pre-installed latest stable TF version. Also you can use ```pip install```  to install any other preferred TF version.

 * <p>
 * The mojo can be annotated with {@code org.apache.maven.api.di.*} annotations to
 * control the lifecycle of the mojo itself, and to inject other beans.
 * </p>
 * <p>
 * The mojo class can also be injected with an {@link Execute} annotation to specify a
 * forked lifecycle.
 * </p>
 * <p>
 * The {@link Parameter} annotation can be added on fields to inject data

# Use of this source code is governed by a BSD-style
# license that can be found in the LICENSE file.

# Run go tool dist to install a command.
# The -v causes dist to print the name of each directory as it runs.
# The -vv causes dist to print each build command as it runs.
# go tool dist clean cleans all directories, not just this one,
# but it's as close as we can get.

# Default target (first).
install:
	go tool dist install -v

* searching
* inspections

///

## Use the model { #use-the-model }

Inside of the function, you can access all the attributes of the model object directly:

{* ../../docs_src/body/tutorial002_py310.py *}

## Request body + path parameters { #request-body-path-parameters }

You can declare path parameters and request body at the same time.