def test_default_response_class_skips_json_dumps():
    """When no response_class is set, the fast path serializes directly to
    JSON bytes via Pydantic's dump_json and never calls json.dumps."""
    with patch(
        "starlette.responses.json.dumps", wraps=__import__("json").dumps
    ) as mock_dumps:
        response = client.get("/default")
    assert response.status_code == 200
    assert response.json() == {"name": "widget", "price": 9.99}

gOccu 14-:-XX:+UseG1GC 14-:-XX:G1ReservePercent=25 14-:-XX:InitiatingHeapOccupa=30 ## JVM temporary directory -Djava.io.tmpdir=${ES_TMPDIR} ## heap dumps # generate a heap dump when an allocation from the Java heap fails # heap dumps are created in the working directory of the JVM -XX:+HeapDumpOnOutOfMemor # specify an alternative path for heap dumps; ensure the directory exists and # has sufficient space -XX:HeapDumpPath=data # specify an alternative path for JVM fatal error logs -XX:ErrorFile=...

gOccu 14-:-XX:+UseG1GC 14-:-XX:G1ReservePercent=25 14-:-XX:InitiatingHeapOccupa=30 ## JVM temporary directory -Djava.io.tmpdir=${ES_TMPDIR} ## heap dumps # generate a heap dump when an allocation from the Java heap fails # heap dumps are created in the working directory of the JVM -XX:+HeapDumpOnOutOfMemor # specify an alternative path for heap dumps; ensure the directory exists and # has sufficient space -XX:HeapDumpPath=data # specify an alternative path for JVM fatal error logs -XX:ErrorFile=...

gOccu 14-:-XX:+UseG1GC 14-:-XX:G1ReservePercent=25 14-:-XX:InitiatingHeapOccupa=30 ## JVM temporary directory -Djava.io.tmpdir=${ES_TMPDIR} ## heap dumps # generate a heap dump when an allocation from the Java heap fails # heap dumps are created in the working directory of the JVM -XX:+HeapDumpOnOutOfMemor # specify an alternative path for heap dumps; ensure the directory exists and # has sufficient space -XX:HeapDumpPath=data # specify an alternative path for JVM fatal error logs -XX:ErrorFile=...

# See the License for the specific language governing permissions and
# limitations under the License.
# ==============================================================================
# This script dumps some information about the environment. It's most useful
# for verifying changes to the TFCI scripts system, and most users won't need
# to interact with it at all.
source "${BASH_SOURCE%/*}/utilities/setup.sh"

.java-version

# macOS
# ----
.DS_Store

# HPROF
# -----
*.hprof

# Work dirs
# ---------
/incoming-distributions
/intTestHomeDir

# Logs
# ----
/*.log

# Thread dumps for troubleshooting
*.threaddump
# ps output for cleaning up leaking Java processes
*.psoutput

# oh-my-zsh gradle plugin
.gradletasknamecache

    }

    /**
     * Prints thread dump information to the logger at ERROR level.
     */
    public static void printThreadDumpAsError() {
        processThreadDump(logger::error);
    }

    /**
     * Writes thread dump information to the specified file.
     *
     * @param file the file path to write the thread dump to
     */
    public static void writeThreadDump(final String file) {

У цьому прикладі вона конвертує модель Pydantic у `dict`, а `datetime` у `str`.

Результат виклику цієї функції — це щось, що можна кодувати з використанням стандарту Python [`json.dumps()`](https://docs.python.org/3/library/json.html#json.dumps).

Вона не повертає великий `str`, який містить дані у форматі JSON (як рядок). Вона повертає стандартну структуру даних Python (наприклад, `dict`) зі значеннями та підзначеннями, які є сумісними з JSON.

def test_form_json_list():
    response = client.post(
        "/form-json-list", data={"items": json.dumps(["abc", "def"])}
    )
    assert response.status_code == 200, response.text
    assert response.json() == ["abc", "def"]


def test_query_json_list():
    response = client.get(
        "/query-json-list", params={"items": json.dumps(["abc", "def"])}
    )
    assert response.status_code == 200, response.text

Pydanticモデルのようなオブジェクトを受け取り、JSON互換版を返します:

{* ../../docs_src/encoder/tutorial001_py310.py hl[4,21] *}

この例では、Pydanticモデルを`dict`に、`datetime`を`str`に変換します。

呼び出した結果は、Pythonの標準の[`json.dumps()`](https://docs.python.org/3/library/json.html#json.dumps)でエンコードできるものです。

これはJSON形式のデータを含む大きな`str`を（文字列として）返しません。JSONと互換性のある値とサブの値を持つPython標準のデータ構造（例：`dict`）を返します。

/// note | 備考