var _ = &Pointer[int]{}

// A Pointer is an atomic pointer of type *T. The zero value is a nil *T.
type Pointer[T any] struct {
	// Mention *T in a field to disallow conversion between Pointer types.
	// See go.dev/issue/56603 for more details.
	// Use *T, not T, to avoid spurious recursive type definition errors.
	_ [0]*T

	_ noCopy
	v unsafe.Pointer
}

                return FILE_COLLECTION.asType();
            case DIRECTORY_PROPERTY:
            case REGULAR_FILE_PROPERTY:
                return Type.getType(File.class);
            case LIST_PROPERTY:
                return Type.getType(List.class);
            case SET_PROPERTY:
                return Type.getType(Set.class);
            case MAP_PROPERTY:
                return Type.getType(Map.class);

        MethodHandle spreader = original.asSpreader(Object[].class, original.type().parameterCount());
        MethodHandle decorated = MethodHandles.insertArguments(INTERCEPTOR, 0, this, spreader, flags, caller.lookupClass().getName());
        return decorated.asCollector(Object[].class, original.type().parameterCount()).asType(original.type());
    }

              np.random.uniform(size=bias_shape), dtype=dtypes.float32
          )

        self._kernel = np.random.uniform(size=y_shape).astype('f4')
        self._min = (-0.8, -0.8, -0.9)
        self._max = (0.9, 0.9, 1.0)

      @def_function.function(
          input_signature=[
              tensor_spec.TensorSpec(
                  name='x', shape=x_signature, dtype=dtypes.float32
              )
          ]

    override val short: KaType by cachedBuiltin(builtinTypes.shortType)
    override val byte: KaType by cachedBuiltin(builtinTypes.byteType)

    override val float: KaType by cachedBuiltin(builtinTypes.floatType)
    override val double: KaType by cachedBuiltin(builtinTypes.doubleType)

    override val char: KaType by cachedBuiltin(builtinTypes.charType)

            default:
                throw new UnsupportedOperationException("Generating get call for type: " + upgradedPropertyType.asType() + " is not supported");
        }
    }

    private static CodeBlock getSetCall(String propertyGetterName, PropertyUpgradeRequestExtra implementationExtra, GradleLazyType upgradedPropertyType) {

        this.keyType = keyType;
        this.valueType = valueType;
        keyCollector = new ValidatingValueCollector<>(Set.class, keyType, ValueSanitizers.forType(keyType));
        entryCollector = new ValidatingMapEntryCollector<>(keyType, valueType, ValueSanitizers.forType(keyType), ValueSanitizers.forType(valueType));
        init();
    }

    private void init() {
        defaultValue = emptySupplier();

        "  rng = np.random.default_rng(seed=1235)\n",
        "  for _ in range(2):\n",
        "    yield {\n",
        "        'lhs_operand': rng.uniform(low=-1.0, high=1.0, size=input_shape).astype(\n",
        "            np.float32\n",
        "        )\n",
        "    }\n",
        "converter = tf.lite.TFLiteConverter.from_saved_model(saved_model_dir)\n",
        "converter.target_spec.supported_ops = [\n",

                                     zero_points[0], q_type.getStorageTypeMin(),
                                     q_type.getStorageTypeMax());
  } else if (auto q_type = dyn_cast<quant::UniformQuantizedPerAxisType>(type)) {
    return quant::UniformQuantizedPerAxisType::get(
        q_type.getFlags(), q_type.getStorageType(), q_type.getExpressedType(),
        scales, zero_points, q_type.getQuantizedDimension(),

        QType::getDefaultMinimumForInteger(/*isSigned=*/true, num_bits);

    auto flags = quant::QuantizationFlags::Signed;
    QType new_qtype;
    if (auto uqtype = qtype.template dyn_cast<quant::UniformQuantizedType>()) {
      new_qtype = quant::UniformQuantizedType::getChecked(
          op.getLoc(), flags, qtype.getStorageType(), qtype.getExpressedType(),
          uqtype.getScale(), uqtype.getZeroPoint() - offset,