### Criar um Engine
Um `engine` SQLModel (por baixo dos panos, ele é na verdade um `engine` do SQLAlchemy) é o que **mantém as conexões** com o banco de dados.

Você teria **um único objeto `engine`** para todo o seu código se conectar ao mesmo banco de dados.

OkCurl
======

_A curl for the next-generation web._

OkCurl is an OkHttp-backed curl clone which allows you to test OkHttp's HTTP engine (including

			Value:         "",
			HiddenIfEmpty: true,
		},
		config.KV{
			Key:           AuthToken,
			Value:         "",
			HiddenIfEmpty: true,
		},
	}
)

// Args opa general purpose policy engine configuration.
type Args struct {
	URL         *xnet.URL             `json:"url"`
	AuthToken   string                `json:"authToken"`
	Transport   http.RoundTripper     `json:"-"`

dependencies {
  api(projects.okhttp)

  testImplementation(projects.okhttpTestingSupport)
  testImplementation(libs.junit.jupiter.api)
  testImplementation(libs.junit.jupiter.params)
  testImplementation(libs.junit.jupiter.engine)
  testImplementation(libs.assertk)
  testImplementation(libs.testcontainers)
  testImplementation(libs.mockserver)
  testImplementation(libs.mockserver.client)
  testImplementation(libs.testcontainers.junit5)

    }
    implementation(kotlin("gradle-plugin") as String) {
        because("For manually defined KotlinSourceSet accessor - sourceSets.main.get().kotlin")
    }

    testImplementation("org.junit.jupiter:junit-jupiter-engine:5.8.2")

    implementation("org.jetbrains.kotlinx:kotlinx-metadata-jvm")
    implementation(kotlin("compiler-embeddable"))

    testImplementation("org.jsoup:jsoup")
    testImplementation("org.junit.jupiter:junit-jupiter-engine")
}

tasks.compileGroovy.configure {
    classpath += files(tasks.compileKotlin)

  }
}

dependencies {
  api(projects.mockwebserver3)
  api(libs.junit.jupiter.api)
  compileOnly(libs.animalsniffer.annotations)

  testRuntimeOnly(libs.junit.jupiter.engine)
  testImplementation(libs.kotlin.junit5)
  testImplementation(projects.okhttpTestingSupport)
  testImplementation(libs.assertk)
}

mavenPublishing {
  configure(KotlinJvm(javadocJar = JavadocJar.Empty()))

	</component>

	<component name="searchApiManager" class="org.codelibs.fess.api.json.SearchApiManager">
	</component>
	<component name="searchEngineApiManager" class="org.codelibs.fess.api.engine.SearchEngineApiManager">
	</component>

    SQLModel will know that something declared as `str` will be a SQL column of type `TEXT` (or `VARCHAR`, depending on the database).

### Create an Engine

A SQLModel `engine` (underneath it's actually a SQLAlchemy `engine`) is what **holds the connections** to the database.

You would have **one single `engine` object** for all your code to connect to the same database.

{* ../../docs_src/sql_databases/tutorial001_an_py310.py ln[14:18] hl[14:15,17:18] *}

 */
package org.codelibs.fess.crawler.client.http.ntlm;

import org.apache.http.impl.auth.NTLMEngine;
import org.apache.http.impl.auth.NTLMEngineException;

/**
 * SmbjEngine is a NTLM Engine implementation based on smbj.
 *
 * @author shinsuke
 *
 */
public class SmbjEngine implements NTLMEngine {

    @Override