//
	// The n above was for the public interface of "if n <= 0,
	// Readdir returns all the FileInfo from the directory in a
	// single slice".
	//
	// But below, we use only negative to mean looping until the
	// end and positive to mean bounded, with positive
	// terminating at 0.
	if n == 0 {
		n = -1
	}

	for n != 0 {
		// Refill the buffer if necessary
		if d.bufp >= d.nbuf {
			d.bufp = 0
			var errno error

// the specified mean.
func fastexprand(mean int) int32 {
	// Avoid overflow. Maximum possible step is
	// -ln(1/(1<<randomBitCount)) * mean, approximately 20 * mean.
	switch {
	case mean > 0x7000000:
		mean = 0x7000000
	case mean == 0:
		return 0
	}

	// Take a random sample of the exponential distribution exp(-mean*x).

     * dependency properties.
     *
     * @return if the artifact can be added to the class path
     *
     * @deprecated A value of {@code true} does not mean that the dependency should
     * be placed on the classpath. See {@code JavaPathType} instead for better analysis.
     */
    @Deprecated
    boolean isAddedToClasspath();

  Tf2XlaTypeConverter();
};

/// Adds the TF to XLA via TF2XLA rewrite patterns to the pattern list.
/// `prefer_tf2xla` means an op will be included iff it is not in
/// `MlirLegalizedUnderPreferTf2XlaSet`. `!prefer_tf2xla` mean an op will be
/// included if there is no native MLIR legalization for the op.
void PopulateLegalizeTfWithTf2XlaPatterns(llvm::StringRef device_type,
                                          RewritePatternSet& patterns,

     * In this case, the failure can be synthetic to provide the stack trace for the problem origin.
     * <p>
     * The failure can also be omitted due to limits. Its absence does not mean there was no exception causing the problem.
     */
    @Nullable
    Failure getFailure();

    /**
     * Returns an exception that can be thrown when this problem should result in an error.
     *

	N := n * hashSize
	var c float64
	// find c such that Prob(mean-c*stddev < x < mean+c*stddev)^N > .9999
	for c = 0.0; math.Pow(math.Erf(c/math.Sqrt(2)), float64(N)) < .9999; c += .1 {
	}
	c *= 11.0 // allowed slack: 40% to 60% - we don't need to be perfectly random
	mean := .5 * REP
	stddev := .5 * math.Sqrt(REP)
	low := int(mean - c*stddev)
	high := int(mean + c*stddev)
	for i := 0; i < n; i++ {

                    cycle.removeLast();
                    stateMap.put(v, DfsState.VISITED);
                } else if (state == DfsState.VISITING) {
                    // we are already visiting this vertex, this mean we have a cycle
                    int pos = cycle.lastIndexOf(v);
                    List<String> ret = cycle.subList(pos, cycle.size());
                    ret.add(v);
                    return ret;
                }

                    cycle.removeLast();
                    stateMap.put(v, DfsState.VISITED);
                } else if (state == DfsState.VISITING) {
                    // we are already visiting this vertex, this mean we have a cycle
                    int pos = cycle.lastIndexOf(v);
                    List<String> ret = cycle.subList(pos, cycle.size());
                    ret.add(v);
                    return ret;
                }

     *
     * a) every iteration (except potentially the first) has guess >= floor(sqrt(x)). This is
     * because guess' is the arithmetic mean of guess and x / guess, sqrt(x) is the geometric mean,
     * and the arithmetic mean is always higher than the geometric mean.
     *
     * b) this iteration converges to floor(sqrt(x)). In fact, the number of correct digits doubles

     *
     * a) every iteration (except potentially the first) has guess >= floor(sqrt(x)). This is
     * because guess' is the arithmetic mean of guess and x / guess, sqrt(x) is the geometric mean,
     * and the arithmetic mean is always higher than the geometric mean.
     *
     * b) this iteration converges to floor(sqrt(x)). In fact, the number of correct digits doubles