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)

# 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(

    /**
     * {@return the version or meta-version of the artifact}
     * A meta-version is a version suffixed with the {@code SNAPSHOT} keyword.
     * Meta-versions are represented in a base version by their symbols (e.g., {@code SNAPSHOT}),
     * while they are replaced by, for example, the actual timestamp in the {@linkplain #getVersion() version}.
     */
    @Nonnull
    Version getBaseVersion();

    /**

	if lerr != nil || len(e.Right) == 0 {
		return lval, lerr
	}

	// Process remaining child nodes - result must be
	// numeric. This AST node is for terms separated by + or -
	// symbols.
	for _, rightTerm := range e.Right {
		op := rightTerm.Op
		rval, rerr := rightTerm.Right.evalNode(r, tableAlias)
		if rerr != nil {
			return nil, rerr
		}
		err := lval.arithOp(op, rval)

      --with-tune="generic" \
      && \
    make -j 42 && \
    make install


# Create the devtoolset libstdc++ linkerscript that links dynamically against
# the system libstdc++ 4.4 and provides all other symbols statically.
case "${VERSION}" in
devtoolset-7)
mv "/${TARGET}/usr/lib/libstdc++.so.${LIBSTDCXX_VERSION}" \
   "/${TARGET}/usr/lib/libstdc++.so.${LIBSTDCXX_VERSION}.backup"

		return s == "__cgodebug_ints" || s == "___cgodebug_ints"
	}
	isDebugFloats := func(s string) bool {
		// Some systems use leading _ to denote non-assembly symbols.
		return s == "__cgodebug_floats" || s == "___cgodebug_floats"
	}
	indexOfDebugStr := func(s string) int {
		// Some systems use leading _ to denote non-assembly symbols.
		if strings.HasPrefix(s, "___") {

		return "", obj.ABI0, false
	}
	name = p.qualifySymbol(name)
	// Parse optional <> (indicates a static symbol) or
	// <ABIxxx> (selecting text symbol with specific ABI).
	noErrMsg := false
	isStatic, abi := p.symRefAttrs(name, noErrMsg)
	if isStatic {
		return "", obj.ABI0, false // This function rejects static symbols.
	}
	tok = p.next()
	if tok.ScanToken == '+' {
		if p.next().ScanToken != scanner.Int {

	<local>, assuming it will be resolved by a dynamic library
	symbol. The optional <remote> specifies the symbol's name and
	possibly version in the dynamic library, and the optional "<library>"
	names the specific library where the symbol should be found.

	On AIX, the library pattern is slightly different. It must be
	"lib.a/obj.o" with obj.o the member of this library exporting
	this symbol.

        being silently buggy.
    *   Code that directly asserts on a Keras symbolic value in cases where ops
        like `tf.rank` used to return a static or symbolic value depending on if
        the input had a fully static shape or not. Now these ops always return
        symbolic values.
    *   Code already susceptible to leaking tensors outside of graphs becomes

                return 1L;
            }

            @Override
            public String symbol() {
                return "B";
            }
        },
        KILOBYTE {
            @Override
            public long bytes() {
                return 1000L;
            }

            @Override
            public String symbol() {
                return "kB";
            }
        },
        MEGABYTE {