which generates classes corresponding your tables,
for example, entities, condition-beans to specified
directories by DBFlute properties on "dfprop" directory.

Generated structures (directories and classes) are like this:
/- - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
allcommon : classes bridging to DBFlute Runtime
bsbhv     : base behaviors
bsentity  : base entities
cbean     : condition-beans (both base and extended)

package main

// This programs mocks user interaction against Dex IDP and generates STS
// credentials. It is for MinIO testing purposes only.
//
// Run like:
//
// $ MINIO_ENDPOINT=http://localhost:9000 go run gen-oidc-sts-cred.go

import (
	"context"
	"fmt"
	"log"
	"net/http"
	"os"

	cr "github.com/minio/minio-go/v7/pkg/credentials"

# any.sh has two run modes.
#
# 1. RUN, TEST, OR BUILD BAZEL TARGET(S) WITHIN A TFCI ENVIRONMENT
#    To use:
#       export TFCI=ci/official/envs/env_goes_here
#       export TF_ANY_TARGETS="quoted list of targets, like on the command line"
#       export TF_ANY_MODE="test" or "build" or "run" (default: "test")
#       ./any.sh
#
# 2. RUN ANY OTHER SCRIPT AND ENV WITH NO SIDE EFFECTS (NO UPLOADS)
#    To use:

//// tab | Python

```Python
{!> ../../docs_src/generate_clients/tutorial004.py!}
```

////

//// tab | Node.js

```Javascript
{!> ../../docs_src/generate_clients/tutorial004.js!}
```

////

```

In your client you will get a JSON response like:

```JSON
{
  "model_name": "alexnet",
  "message": "Deep Learning FTW!"
}
```

## Path parameters containing paths

Let's say you have a *path operation* with a path `/files/{file_path}`.

But you need `file_path` itself to contain a *path*, like `home/johndoe/myfile.txt`.

/// tip

Integrating other authentication/authorization providers like Google, Facebook, Twitter, GitHub, etc. is also possible and relatively easy.

The most complex problem is building an authentication/authorization provider like those, but **FastAPI** gives you the tools to do it easily, while doing the heavy lifting for you.

///

## **FastAPI** utilities

			}, clause.Where{
				Exprs: []clause.Expression{clause.Or(clause.Gt{Column: "score", Value: 100}, clause.Like{Column: "name", Value: "%linus%"})},
			}},
			"SELECT * FROM `users` WHERE `users`.`id` = ? AND `age` > ? OR `name` <> ? AND (`score` > ? OR `name` LIKE ?)",
			[]interface{}{"1", 18, "jinzhu", 100, "%linus%"},
		},
		{
			[]clause.Interface{clause.Select{}, clause.From{}, clause.Where{

$ export MY_NAME="Wade Wilson"

// Then you could use it with other programs, like
$ echo "Hello $MY_NAME"

Hello Wade Wilson
```

</div>

////

//// tab | Windows PowerShell

<div class="termy">

```console
// Create an env var MY_NAME
$ $Env:MY_NAME = "Wade Wilson"

// Use it with other programs, like
$ echo "Hello $Env:MY_NAME"

Hello Wade Wilson
```

</div>

////

		result.combine(e.Between.Start.analyze(s))
		result.combine(e.Between.End.analyze(s))
	case e.In != nil:
		result.combine(e.In.analyze(s))
	case e.Like != nil:
		result.combine(e.Like.Pattern.analyze(s))
		if e.Like.EscapeChar != nil {
			result.combine(e.Like.EscapeChar.analyze(s))
		}
	default:
		result = qProp{err: errUnexpectedInvalidNode}
	}
	return
}

#### Unwrapping a `dict` and extra keywords

And then adding the extra keyword argument `hashed_password=hashed_password`, like in:

```Python
UserInDB(**user_in.dict(), hashed_password=hashed_password)
```

...ends up being like:

```Python
UserInDB(
    username = user_dict["username"],
    password = user_dict["password"],
    email = user_dict["email"],