/* To figure out the load address we use the definition that for any symbol:
      dynamic_addr(symbol) = static_addr(symbol) + load_addr
 
-     The choice of symbol is arbitrary. The static address we obtain
-     by constructing a non GOT reference to the symbol, the dynamic
-     address of the symbol we compute using adrp/add to compute the
-     symbol's address relative to the PC. */
-
-  ElfW(Addr) static_addr;

        assertArgumentNotNull("locale", locale);

        DecimalFormatSymbols symbols = CACHE.get(locale);
        if (symbols == null) {
            symbols = new DecimalFormatSymbols(locale);
            CACHE.put(locale, symbols);
        }
        return symbols;
    }

     */
    public void testGetDecimalFormatSymbols() throws Exception {
        final DecimalFormatSymbols symbols = DecimalFormatSymbolsUtil.getDecimalFormatSymbols(Locale.GERMAN);
        System.out.println("DecimalSeparator:" + symbols.getDecimalSeparator());
        System.out.println("GroupingSeparator:" + symbols.getGroupingSeparator());
    }

        if (s == null) {
            return null;
        }
        final DecimalFormatSymbols symbols = DecimalFormatSymbolsUtil.getDecimalFormatSymbols(locale);
        final char decimalSep = symbols.getDecimalSeparator();
        final char groupingSep = symbols.getGroupingSeparator();
        final StringBuilder buf = new StringBuilder(20);
        for (int i = 0; i < s.length(); ++i) {

The same assembler is used for all target operating systems and architectures.
The GOOS and GOARCH environment variables set the desired target.

Flags:

	-D name[=value]
		Predefine symbol name with an optional simple value.
		Can be repeated to define multiple symbols.
	-I dir1 -I dir2
		Search for #include files in dir1, dir2, etc,
		after consulting $GOROOT/pkg/$GOOS_$GOARCH.
	-S
		Print assembly and machine code.
	-V

from tensorflow.python.platform import app  # pylint: disable=g-import-not-at-top
app.flags = flags

# These symbols appear because we import the python package which
# in turn imports from tensorflow.core and tensorflow.python. They
# must come from this module. So python adds these symbols for the
# resolution to succeed.
# pylint: disable=undefined-variable
del python
del core

	for scanner.Scan() {
		f := strings.Fields(scanner.Text())
		if len(f) < 3 {
			continue
		}
		syms[f[2]] = f[0]
	}
	if err := scanner.Err(); err != nil {
		t.Fatalf("error reading symbols: %v", err)
	}
	return syms
}

func runAddr2Line(t *testing.T, dbgExePath, addr string) (funcname, path, lineno string) {
	cmd := testenv.Command(t, testenv.Executable(t), dbgExePath)

high bit is set is rejected.
</p>

<h3 id="symbols">Symbols</h3>

<p>
Some symbols, such as <code>R1</code> or <code>LR</code>,
are predefined and refer to registers.
The exact set depends on the architecture.
</p>

<p>
There are four predeclared symbols that refer to pseudo-registers.
These are not real registers, but rather virtual registers maintained by

# configure script unconditionally); otherwise if it is false or undefined, the
# build is static and TensorFlow symbols (in Python only) are loaded into the
# global symbol table in order to support op registration. This means that
# projects building with Bazel and importing TensorFlow as a dependency will not
# depend on libtensorflow_framework.so unless they opt in.
tf_cc_shared_library(

	Dynlink    = flag.Bool("dynlink", false, "support references to Go symbols defined in other shared libraries")
	Linkshared = flag.Bool("linkshared", false, "generate code that will be linked against Go shared libraries")
	AllErrors  = flag.Bool("e", false, "no limit on number of errors reported")
	SymABIs    = flag.Bool("gensymabis", false, "write symbol ABI information to output file, don't assemble")