> port         (port)               MySQL server port (used only if `dsn_string` is empty)
> username     (string)             database username (used only if `dsn_string` is empty)
> password     (string)             database password (used only if `dsn_string` is empty)
> database     (string)             database name (used only if `dsn_string` is empty)
> ```
>

		if trunc := t0.Truncate(d); trunc != t1 {
			t.Errorf("Time.Truncate(%s, %s) = %s, want %s\n"+
				"%v trunc %v =\n%v want\n%v",
				t0.Format(RFC3339Nano), d, trunc, t1.Format(RFC3339Nano),
				absString(t0), int64(d), absString(trunc), absString(t1))
			return false
		}

		// To round, add d back if remainder r > d/2 or r == exactly d/2.
		// The commented out code would round half to even instead of up,

		if(/msie/.test(u) && parseInt(v, 10) == 7) {
			is_ie7 = true;
			css_string += '.jstree li a { border-width:0 !important; padding:0px 2px !important; } ';
		}
		// correct ff2 lack of display:inline-block
		if(!/compatible/.test(u) && /mozilla/.test(u) && parseFloat(v, 10) < 1.9) {
			is_ff2 = true;
			css_string += '' +
				'.jstree ins { display:-moz-inline-box; } ' +

		j := 0
		for x := l.aux; x != nil; x = x.next {
			j++
		}
		s.AddUint16(ctxt.Arch, uint16(j))                        // aux count
		s.AddUint32(ctxt.Arch, uint32(dynstr.Addstring(l.file))) // file string offset
		s.AddUint32(ctxt.Arch, 16)                               // offset from header to first aux
		if l.next != nil {
			s.AddUint32(ctxt.Arch, 16+uint32(j)*16) // offset from this header to next

}

func (c dwctxt) AddBytes(s dwarf.Sym, b []byte) {
	ds := loader.Sym(s.(dwSym))
	dsu := c.ldr.MakeSymbolUpdater(ds)
	dsu.AddBytes(b)
}

func (c dwctxt) AddString(s dwarf.Sym, v string) {
	ds := loader.Sym(s.(dwSym))
	dsu := c.ldr.MakeSymbolUpdater(ds)
	dsu.Addstring(v)
}

func (c dwctxt) AddAddress(s dwarf.Sym, data interface{}, value int64) {
	ds := loader.Sym(s.(dwSym))
	dsu := c.ldr.MakeSymbolUpdater(ds)

  EXPECT_EQ(TF_INT16, static_cast<TF_DataType>(tensorflow::DT_INT16));
  EXPECT_EQ(TF_INT8, static_cast<TF_DataType>(tensorflow::DT_INT8));
  EXPECT_EQ(TF_STRING, static_cast<TF_DataType>(tensorflow::DT_STRING));
  EXPECT_EQ(TF_COMPLEX64, static_cast<TF_DataType>(tensorflow::DT_COMPLEX64));
  EXPECT_EQ(TF_COMPLEX, TF_COMPLEX64);
  EXPECT_EQ(TF_INT64, static_cast<TF_DataType>(tensorflow::DT_INT64));

		}
		// A boolean type can only convert to another boolean type.
		if allBoolean(x.typ) != allBoolean(y.typ) {
			return false
		}
		// A string type can only convert to another string type.
		if allString(x.typ) != allString(y.typ) {
			return false
		}
		// Untyped nil can only convert to a type that has a nil.
		if x.isNil() {
			return hasNil(y.typ)
		}
		if y.isNil() {
			return hasNil(x.typ)
		}

    Node* a = ops::SourceOp(
        "Const", builder.opts()
                     .WithName("A")
                     .WithAttr("dtype", DT_STRING)
                     .WithAttr("value", Tensor(DT_STRING, TensorShape())));
    Node* b = ops::UnaryOp("EncodeBase64", a, builder.opts().WithName("B"));
    ops::BinaryOp("StringSplit", a, b, builder.opts().WithName("C"));

		}
		// A boolean type can only convert to another boolean type.
		if allBoolean(x.typ) != allBoolean(y.typ) {
			return false
		}
		// A string type can only convert to another string type.
		if allString(x.typ) != allString(y.typ) {
			return false
		}
		// Untyped nil can only convert to a type that has a nil.
		if x.isNil() {
			return hasNil(y.typ)
		}
		if y.isNil() {
			return hasNil(x.typ)
		}

      continue;
    }

    if (node->type_string() == "Const") {
      // Skip Const op with type DT_STRING, since XLA autoclustering doesn't
      // support it.
      const AttrValue* attr = node->attrs().Find("dtype");
      if (attr != nullptr && attr->type() == DT_STRING) {
        continue;
      }
    }

    if (!allowlist.empty() && !allowlist.contains(node->def().op())) {