{* ../../docs_src/dataclasses_/tutorial003_py310.py hl[1,4,7:10,13:16,22:24,27] *}

1. Мы по-прежнему импортируем `field` из стандартных `dataclasses`.

2. `pydantic.dataclasses` — полностью совместимая замена (drop-in replacement) для `dataclasses`.

3. Dataclass `Author` содержит список dataclass `Item`.

Bu durumda standart `dataclasses` yerine, drop-in replacement olan `pydantic.dataclasses` kullanabilirsiniz:

{* ../../docs_src/dataclasses_/tutorial003_py310.py hl[1,4,7:10,13:16,22:24,27] *}

1. `field` hâlâ standart `dataclasses` içinden import edilir.

2. `pydantic.dataclasses`, `dataclasses` için bir drop-in replacement'tır.

        // collect drop list
        for (MetadataGraphVertex v : g.getVertices()) {
            if (!visited.contains(v)) {
                dropList.add(v);
            }
        }

        if (dropList.isEmpty()) {
            return g;
        }

        // now - drop vertices
        TreeSet<MetadataGraphVertex> vertices = g.getVertices();

In that case, you can simply swap the standard `dataclasses` with `pydantic.dataclasses`, which is a drop-in replacement:

{* ../../docs_src/dataclasses_/tutorial003_py310.py hl[1,4,7:10,13:16,22:24,27] *}

1. We still import `field` from standard `dataclasses`.

2. `pydantic.dataclasses` is a drop-in replacement for `dataclasses`.

3. The `Author` dataclass includes a list of `Item` dataclasses.

        }
        val isVarargs = Modifier.isVarArgs(method.modifiers)

        // Parameter type check
        method.parameterTypes
            .asSequence()
            // Drop the receiver if present
            .drop(if (extensionCandidate) 1 else 0)
            .withIndex()
            .all {
                val ktParamType = ktFunction.valueParameters[it.index].typeReference!!

Dans ce cas, vous pouvez simplement remplacer les `dataclasses` standard par `pydantic.dataclasses`, qui est un remplacement drop‑in :

{* ../../docs_src/dataclasses_/tutorial003_py310.py hl[1,4,7:10,13:16,22:24,27] *}

1. Nous continuons à importer `field` depuis les `dataclasses` standard.

2. `pydantic.dataclasses` est un remplacement drop‑in pour `dataclasses`.

3. La dataclass `Author` inclut une liste de dataclasses `Item`.

    }


def test_create_item_bad_token():
    response = client.post(
        "/items/",
        headers={"X-Token": "hailhydra"},
        json={"id": "bazz", "title": "Bazz", "description": "Drop the bazz"},
    )
    assert response.status_code == 400
    assert response.json() == {"detail": "Invalid X-Token header"}


def test_create_existing_item():
    response = client.post(
        "/items/",

}

class IanaSuites(
  val name: String,
  val suites: List<SuiteId>,
) {
  fun fromJavaName(javaName: String): SuiteId =
    suites.firstOrNull {
      it.name == javaName || it.name == "TLS_${javaName.drop(4)}"
    } ?: throw IllegalArgumentException("No such suite: $javaName")
}

suspend fun fetchIanaSuites(okHttpClient: OkHttpClient): IanaSuites {

    }


def test_create_item_bad_token():
    response = client.post(
        "/items/",
        headers={"X-Token": "hailhydra"},
        json={"id": "bazz", "title": "Bazz", "description": "Drop the bazz"},
    )
    assert response.status_code == 400
    assert response.json() == {"detail": "Invalid X-Token header"}


def test_create_existing_item():
    response = client.post(
        "/items/",

    calling thread.
 *  Fix: Don't log gzipped data in the logging interceptor.
 *  Fix: Don't resolve DNS addresses when connecting through a SOCKS proxy.
 *  Fix: Drop the synthetic `OkHttp-Selected-Protocol` response header.
 *  Fix: Support 204 and 205 'No Content' replies in the logging interceptor.
 *  New: Add `Call.isExecuted()`.


## Version 2.6.0

_2015-11-22_