public abstract class StringConversionUtil {

    /** WAVE DASH */
    public static final char WAVE_DASH = '\u301C';

    /** FULLWIDTH TILDE */
    public static final char FULLWIDTH_TILDE = '\uFF5E';

    /** DOUBLE VERTICAL LINE */
    public static final char DOUBLE_VERTICAL_LINE = '\u2016';

    /** PARALLEL TO */
    public static final char PARALLEL_TO = '\u2225';

    /** MINUS SIGN */

# Build TensorFlow v2
build --define=tf_api_version=2 --action_env=TF2_BEHAVIOR=1

# Use lld as the linker
build --linkopt="-fuse-ld=lld"
build --linkopt="-lm"
build --linkopt="-Wl,--undefined-version"

# Prevent double-compilation of some TF code, ref. b/183279666 (internal)
# > TF's gen_api_init_files has a genrule to run the core TensorFlow code
# > on the host machine. If we don't have --distinct_host_configuration=false,

labels.pathmap_pt_both	=	Explorer/afficher
labels.pathmap_pt_stored	=	URL stockées
labels.regular_name	=	Nom régulier
labels.duplicate_name	=	Nom en double
labels.duplicate_host_configuration	=	Hôte en double
labels.duplicate_host_title_details	=	Hôte en double
labels.dashboard_title_configuration	=	Configuration du système
labels.suggest_search_log_enabled	=	Suggérer à partir de mots de recherche

Code Cleanup
------------

IntelliJ and Android Studio offer a **Code Cleanup** feature that will automatically update
deprecated APIs with their replacements. Access this feature from the _Search Anywhere_ dialog
(double-press shift) or under the _Analyze_ menu.

We’ve included deprecated APIs in OkHttp 4.0 because they make migration easy. We will remove them

  Float generateFloatObject() {
    return new Float(generateFloat());
  }

  @Generates
  double generateDouble() {
    return generateInt();
  }

  @SuppressWarnings("removal") // b/321209431 -- maybe just use valueOf here?
  @Generates
  Double generateDoubleObject() {
    return new Double(generateDouble());
  }

  @Generates
  short generateShort() {
    return (short) generateInt();

    public long dec_ndr_hyper () {
        align(8);
        long val = Encdec.dec_uint64le(this.buf, this.index);
        advance(8);
        return val;
    }


    /* float */
    /* double */
    public void enc_ndr_string ( String s ) {
        align(4);
        int i = this.index;
        int len = s.length();
        Encdec.enc_uint32le(len + 1, this.buf, i);
        i += 4;

eting:before{content:"\f2a3"}.fa-amilia:before{content:"\f36d"}.fa-anchor:before{content:"\f13d"}.fa-android:before{content:"\f17b"}.fa-angellist:before{content:"\f209"}.fa-angle-double-down:before{content:"\f103"}.fa-angle-double-left:before{content:"\f100"}.fa-angle-double-right:before{content:"\f101"}.fa-angle-double-up:before{content:"\f102"}.fa-angle-down:before{content:"\f107"}.fa-angle-left:before{content:"\f104"}.fa-angle-right:before{content:"\f105"}.fa-angle-up:before{content:"\f106"}....

 * create an instance of one of the built-in implementations of {@code ValueGraph}, use the {@link
 * ValueGraphBuilder} class:
 *
 * <pre>{@code
 * MutableValueGraph<Integer, Double> graph = ValueGraphBuilder.directed().build();
 * }</pre>
 *
 * <p>{@link ValueGraphBuilder#build()} returns an instance of {@link MutableValueGraph}, which is a

  TF_DeleteTensor(t);
  TF_DeleteStatus(status);
  return th;
}

TFE_TensorHandle* DoubleTestMatrixTensorHandle(TFE_Context* ctx) {
  int64_t dims[] = {2, 2};
  double data[] = {1.0, 2.0, 3.0, 4.0};
  TF_Status* status = TF_NewStatus();
  TF_Tensor* t = TFE_AllocateHostTensor(ctx, TF_DOUBLE, &dims[0],
                                        sizeof(dims) / sizeof(int64_t), status);

  virtual AbstractTensorInterface* CreateInt32Scalar(int32_t value) = 0;
  virtual AbstractTensorInterface* CreateFloatScalar(float value) = 0;
  virtual AbstractTensorInterface* CreateDoubleScalar(double value) = 0;
  virtual AbstractTensorInterface* CreateHalfScalar(Eigen::half value) = 0;
  virtual AbstractTensorInterface* CreateStringScalar(tstring value) = 0;