assertEquals(p.getRepositories().size(), clone.getRepositories().size());
        // TODO deep compare the lists
        assertEquals(
                p.getPluginRepositories().size(), clone.getPluginRepositories().size());
        // TODO deep compare the lists
    }

{* ../../docs_src/path_params/tutorial005_py39.py hl[1,6:9] *}


/// tip | Tipp

Falls Sie sich fragen, was „AlexNet“, „ResNet“ und „LeNet“ ist, das sind Namen von <abbr title="Genau genommen, Deep-Learning-Modellarchitekturen">Modellen</abbr> für maschinelles Lernen.

///

### Einen *Pfad-Parameter* deklarieren { #declare-a-path-parameter }

client = TestClient(app)


def test_get_enums_alexnet():
    response = client.get("/models/alexnet")
    assert response.status_code == 200
    assert response.json() == {"model_name": "alexnet", "message": "Deep Learning FTW!"}


def test_get_enums_lenet():
    response = client.get("/models/lenet")
    assert response.status_code == 200
    assert response.json() == {"model_name": "lenet", "message": "LeCNN all the images"}

  dependencies:
    string-width "^4.2.0"
    strip-ansi "^6.0.0"
    wrap-ansi "^7.0.0"

clone-deep@^4.0.1:
  version "4.0.1"
  resolved "https://registry.yarnpkg.com/clone-deep/-/clone-deep-4.0.1.tgz#c19fd9bdbbf85942b4fd979c84dcf7d5f07c2387"
  integrity sha512-neHB9xuzh/wk0dIHweyAXv2aPGZIVk3pLMe+/RNzINf17fe0OG96QroktYAUm7SM1PBnzTabaLboqqxDyMU+SQ==
  dependencies:

@Deprecated(since = "4.0.0")
public interface InheritanceAssembler {

    /**
     * Merges values from the specified parent model into the given child model. Implementations are expected to keep
     * parent and child completely decoupled by injecting deep copies of objects into the child rather than the original
     * objects from the parent.
     *

* mount (verb): монтировать
* mount (noun): точка монтирования / mount (keep in English if it's a FastAPI keyword)
* plugin: плагин
* plug-in: плагин
* full stack: full stack (do not translate)
* full-stack: full-stack (do not translate)
* loop (as in async loop): цикл событий
* Machine Learning: Машинное обучение
* Deep Learning: Глубокое обучение
* callback hell: callback hell (clarify as `ад обратных вызовов`)

    assertThat(reader.readLine()).isEqualTo("hello world")
    val request = server.takeRequest()
    assertThat(request.requestLine).isEqualTo(
      "GET /a/deep/path?key=foo%20bar HTTP/1.1",
    )
    assertThat(request.path).isEqualTo("/a/deep/path?key=foo%20bar")
    val requestUrl = request.requestUrl
    assertThat(requestUrl!!.scheme).isEqualTo("http")
    assertThat(requestUrl.host).isEqualTo(server.hostName)

        Path deepDir = publicDir.resolve("deep");
        Files.createDirectory(deepDir);
        Path currentDir = deepDir;
        for (int i = 1; i <= 5; i++) {
            currentDir = currentDir.resolve("level" + i);
            Files.createDirectory(currentDir);
        }
        Files.writeString(currentDir.resolve("deepfile.txt"), "deep content");

        // Zero byte file for test_zeroByteFile

	induce_bitrot "2" "/data"$((DATA_DRIVE + 1)) $FILE
	WANT='{ "before": { "color": "green", "missing": 0, "corrupted": 1 }, "after": { "color": "green", "missing": 0, "corrupted": 0 }, "args": {"file": "'${FILE}'", "dir": "'${DIR}'", "deep": true} }'
	verify_resiliency_healing "${FUNCNAME[0]}" "${WANT}"

	# Induce bitrot in two parts -- status becomes yellow (2 corrupted)
	induce_bitrot "2" "/data"$((DATA_DRIVE)) $FILE

* <abbr title="Eine Methode des Machine Learning, die künstliche neuronale Netze mit zahlreichen versteckten Schichten zwischen Eingabe- und Ausgabeschicht verwendet und so eine umfassende interne Struktur entwickelt">Deep Learning</abbr>

### Das abbr gibt eine vollständige Phrase und eine Erklärung { #the-abbr-gives-a-full-phrase-and-an-explanation }