// Thr attribute structure for extended attributes
type Bpxyatt_t struct { // DSECT BPXYATT
	Att_id           [4]uint8
	Att_version      uint16
	Att_res01        [2]uint8
	Att_setflags1    uint8
	Att_setflags2    uint8
	Att_setflags3    uint8
	Att_setflags4    uint8
	Att_mode         uint32
	Att_uid          uint32
	Att_gid          uint32
	Att_opaquemask   [3]uint8
	Att_visblmaskres uint8
	Att_opaque       [3]uint8

class PetOut(BaseModel):
    name: str
    owner: User


@app.post("/users/", response_model=User)
async def create_user(user: UserCreate):
    return user


@app.get("/pets/{pet_id}", response_model=PetOut)
async def read_pet(pet_id: int):
    user = UserDB(
        email="******@****.***",
        hashed_password="secrethashed",
    )
    pet = PetDB(name="Nibbler", owner=user)
    return pet

class PetOut(BaseModel):
    name: str
    owner: UserBase


@app.post("/users/", response_model=UserBase)
async def create_user(user: UserCreate):
    return user


@app.get("/pets/{pet_id}", response_model=PetOut)
async def read_pet(pet_id: int):
    user = UserDB(
        email="******@****.***",
        hashed_password="secrethashed",
    )
    pet = PetDB(name="Nibbler", owner=user)
    return pet

| `minio_cluster_erasure_set_write_quorum`         | `gauge` | Write quorum for the erasure set in a pool                                        | `pool_id,set_id` |
| `minio_cluster_erasure_set_online_drives_count`  | `gauge` | Count of online drives in the erasure set in a pool                               | `pool_id,set_id` |

  std::srand(0);
  for (auto fn : module->getOps<mlir::func::FuncOp>()) {
    for (auto& bb : fn) {
      for (auto& inst : bb) {
        auto attr_id = mlir::StringAttr::get(context, "value");
        if (auto attr = inst.getAttrOfType<mlir::ElementsAttr>(attr_id)) {
          mlir::Attribute rand_val;
          mlir::Type element_type = attr.getShapedType().getElementType();

    return {"message": "Hello World"}


app.add_api_route("/non_decorated_route", non_decorated_route)


@app.get("/text")
def get_text():
    return "Hello World"


@app.get("/path/{item_id}")
def get_id(item_id):
    return item_id


@app.get("/path/str/{item_id}")
def get_str_id(item_id: str):
    return item_id


@app.get("/path/int/{item_id}")
def get_int_id(item_id: int):
    return item_id

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	erasureSetWriteTolerance     = "write_tolerance"
	erasureSetReadHealth         = "read_health"
	erasureSetWriteHealth        = "write_health"
)

const (
	poolIDL = "pool_id"
	setIDL  = "set_id"
)

var (
	erasureSetOverallWriteQuorumMD = NewGaugeMD(erasureSetOverallWriteQuorum,
		"Overall write quorum across pools and sets")
	erasureSetOverallHealthMD = NewGaugeMD(erasureSetOverallHealth,

                       .getLeafReference()
                       .getValue());
    // Remove the attribute from the instruction as it is already converted to
    // op_name.
    auto attr_id = mlir::StringAttr::get(inst->getContext(), "f");
    inst->removeAttr(attr_id);
  } else {
    // Some control flow ops in TensorFlow Graph have their respective "Ref" ops
    // as well. For example there is Enter and RefEnter op. RefEnter forwards

-  char ut_line[UT_LINESIZE];	/* Devicename.  */
-  char ut_id[4];		/* Inittab ID.  */
-  char ut_user[UT_NAMESIZE];	/* Username.  */
-  char ut_host[UT_HOSTSIZE];	/* Hostname for remote login.  */
+  char ut_line[UT_LINESIZE]
+    __attribute_nonstring__;	/* Devicename.  */
+  char ut_id[4]
+    __attribute_nonstring__;		/* Inittab ID.  */
+  char ut_user[UT_NAMESIZE]