return null
            } else if (isId(value)) {
                return toPbxObject(toNSString(value).getContent())
            } else if (value instanceof NSArray) {
                def list = []
                for (NSObject obj : value.getArray()) {
                    if (isId(obj)) {
                        list.add(toPbxObject(toNSString(obj).getContent()))
                    } else {

        super.visitVarInsn(ALOAD, var);
    }

    public void _ASTORE(int var) {
        super.visitVarInsn(ASTORE, var);
    }

    public void _ANEWARRAY(Type type) {
        super.visitTypeInsn(ANEWARRAY, type.getInternalName());
    }

    public void _AALOAD() {
        super.visitInsn(AALOAD);
    }

    public void _AASTORE() {
        super.visitInsn(AASTORE);
    }

        !listArray.isAssignableFrom(collectionArray)

        rawArray.isAssignableFrom(listArray)
        rawArray.isAssignableFrom(rawArray)
        rawArray.isAssignableFrom(numberListArray)
        !rawArray.isAssignableFrom(collectionArray)

        numberListArray.isAssignableFrom(numberListArray)
        !numberListArray.isAssignableFrom(rawArray)
        !numberListArray.isAssignableFrom(listArray)

        reader.beginArray();
        while (reader.peek() != JsonToken.END_ARRAY) {
            consumeVariant(reader, metadata);
        }
        reader.endArray();
    }

    private void consumeVariant(JsonReader reader, MutableModuleComponentResolveMetadata metadata) throws IOException {
        String variantName = null;

	for i := 0; i < b.N; i++ {
		m.SetAlpha16(4, 5, c)
	}
}

func BenchmarkGrayAt(b *testing.B) {
	m := NewGray(Rect(0, 0, 10, 10))
	b.ResetTimer()

	for i := 0; i < b.N; i++ {
		m.GrayAt(4, 5)
	}
}

func BenchmarkGraySetGray(b *testing.B) {
	m := NewGray(Rect(0, 0, 10, 10))
	c := color.Gray{0x13}
	b.ResetTimer()

	for i := 0; i < b.N; i++ {
		m.SetGray(4, 5, c)
	}
}

// Convert updates into canonical form as expected by tf.scatter ops.
//
// tf.scatter expects `update_window_dims` to be the trailing dimensions.
//
// To support scatter ops generated by numpy-like slice updates:
//   nd_array[:, [i,j]] = [i_values, j_values]
//
// `updates` must be transposed when the update_window_dims are the leading
// dimensions of `updates`.
//
// Other values of `update_window_dims` are left unsupported.
//

          sample, signature_def
      )
      input_tensor_data = input_tensor.eval()

    self.assertLen(feed_dict, 1)
    self.assertIn('input:0', feed_dict)
    self.assertIsInstance(feed_dict['input:0'], np.ndarray)
    self.assertAllEqual(feed_dict['input:0'], input_tensor_data)

  @test_util.deprecated_graph_mode_only
  def test_create_feed_dict_from_input_data_empty(self):
    signature_def = meta_graph_pb2.SignatureDef(

type ArrayOf[T RoundTripper] struct {
	aPool sync.Pool // Arrays
	ePool sync.Pool // Elements
}

// NewArrayOf returns a new ArrayOf.
// You must provide a function that returns a new instance of T.
func NewArrayOf[T RoundTripper](newFn func() T) *ArrayOf[T] {
	return &ArrayOf[T]{
		ePool: sync.Pool{New: func() any {
			return newFn()
		}},
	}
}

            out.name("subcategories").beginArray();
            for (String sc : value.getSubcategories()) {
                out.value(sc);
            }
            out.endArray();
            out.endObject();
        }

        @Override
        public ProblemCategory read(JsonReader in) throws IOException {
            in.beginObject();
            String namespace = null;

    self._hist_mids = np.linspace(first_mid, last_mid, self._num_bins)

  def _get_dequantized_hist_mids_after_quantize(
      self, quant_min: float, quant_max: float
  ) -> np.ndarray:
    """Quantizes and dequantizes hist_mids using quant_min and quant_max.

    Quantization converts the range of numbers from [quant_min, quant_max] to
    [0, 2^num_bits - 1]. Values less than quant_min are converted to 0, and