assertEquals(int.class, TypeToken.of(int[].class).getComponentType().getType());
    assertEquals(long.class, TypeToken.of(long[].class).getComponentType().getType());
    assertEquals(float.class, TypeToken.of(float[].class).getComponentType().getType());
    assertEquals(double.class, TypeToken.of(double[].class).getComponentType().getType());
    assertNull(TypeToken.of(Object.class).getComponentType());

    assertEquals(int.class, TypeToken.of(int[].class).getComponentType().getType());
    assertEquals(long.class, TypeToken.of(long[].class).getComponentType().getType());
    assertEquals(float.class, TypeToken.of(float[].class).getComponentType().getType());
    assertEquals(double.class, TypeToken.of(double[].class).getComponentType().getType());
    assertNull(TypeToken.of(Object.class).getComponentType());

TF_CAPI_EXPORT extern void TF_SetAttrFloat(TF_OperationDescription* desc,
                                           const char* attr_name, float value);
TF_CAPI_EXPORT extern void TF_SetAttrFloatList(TF_OperationDescription* desc,
                                               const char* attr_name,
                                               const float* values,
                                               int num_values);

        protected SearchRequestType searchRequestType = SearchRequestType.SEARCH;
        protected boolean isScroll = false;
        protected String trackTotalHits = null;
        protected Float minScore = null;

        public static SearchConditionBuilder builder(final SearchRequestBuilder searchRequestBuilder) {
            return new SearchConditionBuilder(searchRequestBuilder);
        }

            }
            buf.append('}');
        } else if ((obj instanceof Integer) || (obj instanceof Long) || (obj instanceof Float) || (obj instanceof Double)) {
            buf.append((obj));
        } else if (obj instanceof Boolean) {
            buf.append(obj.toString());
        } else if (obj instanceof Date) {

    return f"bar_{route.name}"


def custom_generate_unique_id3(route: APIRoute):
    return f"baz_{route.name}"


class Item(BaseModel):
    name: str
    price: float


class Message(BaseModel):
    title: str
    description: str


def test_top_level_generate_unique_id():
    app = FastAPI(generate_unique_id_function=custom_generate_unique_id)
    router = APIRouter()

	DCBT (R3)                       // 7c001a2c
	ICBI (R3)(R4)                   // 7c041fac
	ICBI (R3)(R0)                   // 7c001fac
	ICBI (R3)                       // 7c001fac

	// float constants
	FMOVD $(0.0), F1                // f0210cd0
	FMOVD $(-0.0), F1               // f0210cd0fc200850

	FMOVD 8(R3), F1                 // c8230008
	FMOVD (R3)(R4), F1              // 7c241cae

          if ver < 35:
            print('WARNING: XLA does not support CUDA compute capabilities '
                  'lower than sm_35. Disable XLA when running on older GPUs.')
      else:
        ver = float(m.group(0))
        if ver < 3.0:
          print('ERROR: TensorFlow only supports CUDA compute capabilities 3.0 '
                'and higher. Please re-specify the list of compute '

  TF_Tensor* tensor_shape = Int32Tensor({37, 1});
  TF_Operation* shape = Const(tensor_shape, func_graph.get(), s.get(), "shape");
  TF_Operation* random =
      RandomUniform(shape, TF_FLOAT, func_graph.get(), s.get());

  TF_Output outputs[] = {{random, 0}};
  *func = TF_GraphToFunction(func_graph.get(), name,
                             /*append_hash_to_fn_name=*/false, -1,

          tf_additional_profiler_deps()) + if_xla_available([
        "//tensorflow/compiler/aot:tfcompile_lib",
    ]) + if_static(extra_deps = [
        "//tensorflow/core/platform:tensor_float_32_utils",
        "//tensorflow/core/platform:enable_tf2_utils",
    ]) + if_oss([
        "//tensorflow/core/distributed_runtime/rpc:grpc_server_lib",
        "//tensorflow/core/distributed_runtime/rpc:grpc_session",