}

    public void test_toString() {
        String tag = "tag", id = "id", css = "css", attrName = "attrName", attrValue = "attrValue";
        PrunedTag prunedtag = new PrunedTag(tag);
        prunedtag.setAttr(attrName, attrValue);
        prunedtag.setId(id);
        prunedtag.setCss(css);
        assertEquals("PrunedTag [tag=" + tag + ", id=" + id + ", css=" + css + ", attrName=" + attrName + ", attrValue=" + attrValue + "]",

  import tensorflow_io_gcs_filesystem as _tensorflow_io_gcs_filesystem

# Lazy-load Keras v1.
_tf_uses_legacy_keras = (
    _os.environ.get("TF_USE_LEGACY_KERAS", None) in ("true", "True", "1"))
setattr(_current_module, "keras", _KerasLazyLoader(globals(), mode="v1"))
_module_dir = _module_util.get_parent_dir_for_name("keras._tf_keras.keras")
_current_module.__path__ = [_module_dir] + _current_module.__path__

 * ```
 *
 * If any other extension or parameter is specified, then [unknownValues] will be true. Such
 * responses should be refused as their web socket extensions will not be understood.
 *
 * Note that [java.util.zip.Deflater] is hardcoded to use 15 bits (32 KiB) for
 * `client_max_window_bits` and [java.util.zip.Inflater] is hardcoded to use 15 bits (32 KiB) for
 * `server_max_window_bits`. This harms our ability to support these parameters:
 *

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    }                                                                        \
  }
DEFINE_GETATTR(TF_OperationGetAttrInt, int64_t, int64_t, i);
DEFINE_GETATTR(TF_OperationGetAttrFloat, float, float, f);
DEFINE_GETATTR(TF_OperationGetAttrBool, unsigned char, bool, b);
DEFINE_GETATTR(TF_OperationGetAttrType, TF_DataType, DataType, type);
#undef DEFINE_GETATTR

void TF_OperationGetAttrShape(TF_Operation* oper, const char* attr_name,

    if operation_id in operation_ids:
        message = (
            f"Duplicate Operation ID {operation_id} for function "
            + f"{route.endpoint.__name__}"
        )
        file_name = getattr(route.endpoint, "__globals__", {}).get("__file__")
        if file_name:
            message += f" at {file_name}"
        warnings.warn(message, stacklevel=1)
    operation_ids.add(operation_id)

        exclude = set(exclude)
    if isinstance(obj, BaseModel):
        # TODO: remove when deprecating Pydantic v1
        encoders: Dict[Any, Any] = {}
        if not PYDANTIC_V2:
            encoders = getattr(obj.__config__, "json_encoders", {})  # type: ignore[attr-defined]
            if custom_encoder:
                encoders.update(custom_encoder)
        obj_dict = _model_dump(
            obj,
            mode="json",

So, we need to do some extra tricks to make it work as if it was just using `threading.local`. The `__init__`, `__setattr__`, and `__getattr__` implement all the required tricks for this to be used by Peewee without knowing that it is now compatible with FastAPI.

!!! tip

    of unacknowledged data per stream and no per-connection limit.

 *  Fix: Don't close a `Deflater` while we're still using it to compress a web socket message. We
    had a severe bug where web sockets were closed on the wrong thread, which caused
    `NullPointerException` crashes in `Deflater`.

 *  Fix: Don't crash after a web socket fails its connection upgrade. We incorrectly released

⚫️ ✔️ 🌐 ⚛ ⚒ 🏒 ⚙️ `contextvars` ↩️ `threading.local`.

`contextvars` 👷 🍖 🎏 🌘 `threading.local`. ✋️ 🎂 🏒 🔗 📟 🤔 👈 👉 🎓 👷 ⏮️ `threading.local`.

, 👥 💪 ➕ 🎱 ⚒ ⚫️ 👷 🚥 ⚫️ ⚙️ `threading.local`. `__init__`, `__setattr__`, & `__getattr__` 🛠️ 🌐 ✔ 🎱 👉 ⚙️ 🏒 🍵 🤔 👈 ⚫️ 🔜 🔗 ⏮️ FastAPI.

!!! tip
    👉 🔜 ⚒ 🏒 🎭 ☑ 🕐❔ ⚙️ ⏮️ FastAPI. 🚫 🎲 📂 ⚖️ 📪 🔗 👈 ➖ ⚙️, 🏗 ❌, ♒️.