// according to the mapping function. If mapping returns a negative value, the character is
// dropped from the string with no replacement.
func Map(mapping func(rune) rune, s string) string {
	// In the worst case, the string can grow when mapped, making
	// things unpleasant. But it's so rare we barge in assuming it's
	// fine. It could also shrink but that falls out naturally.

// also sweep pages (e.g., for a large allocation), it can pass a
// non-zero callerSweepPages to leave that many pages unswept.
//
// deductSweepCredit makes a worst-case assumption that all spanBytes
// bytes of the ultimately allocated span will be available for object
// allocation.
//
// deductSweepCredit is the core of the "proportional sweep" system.

That's the entirety of long division: scale the inputs, and then loop over
each output position, guessing, checking, and correcting the next output digit.

For a 2n-digit number divided by an n-digit number (the worst size-n case for
division complexity), this algorithm uses n+1 iterations, each of which must do
at least the 1-by-n-digit multiplication q̂·v. That's O(n) iterations of
O(n) time each, so O(n²) time overall.

// Complexity depends on the type of operations that were performed
// since the last checkpoint; each Set* operation creates an undo
// pass which Undo has to revert with a worst-case complexity of O(n).
func (po *poset) Undo() {
	if len(po.undo) == 0 {
		panic("empty undo stack")
	}
	if debugPoset {
		defer po.CheckIntegrity()
	}

	for len(po.undo) > 0 {

	userArenaChunkPages = userArenaChunkBytes / pageSize

	// userArenaChunkMaxAllocBytes is the maximum size of an object that can
	// be allocated from an arena. This number is chosen to cap worst-case
	// fragmentation of user arenas to 25%. Larger allocations are redirected
	// to the heap.
	userArenaChunkMaxAllocBytes = userArenaChunkBytes / 4
)

func init() {

	i scavengeIndex
}

func NewScavengeIndex(min, max ChunkIdx) *ScavengeIndex {
	s := new(ScavengeIndex)
	// This is a bit lazy but we easily guarantee we'll be able
	// to reference all the relevant chunks. The worst-case
	// memory usage here is 512 MiB, but tests generally use
	// small offsets from BaseChunkIdx, which results in ~100s
	// of KiB in memory use.
	//
	// This may still be worth making better, at least by sharing

		// We're assuming here that all the keys in the map literal are distinct.
		// If any are equal, this will be an overcount. Probably not worth accounting
		// for that, as equal keys in map literals are rare, and at worst we waste
		// a bit of space.
		n.Len += int64(len(dynamics))

		return m
	}

	// No return - type-assertions above. Each case must return for itself.
}

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## Programm und Prozess

Wir werden viel über den laufenden „**Prozess**“ sprechen, daher ist es nützlich, Klarheit darüber zu haben, was das bedeutet und was der Unterschied zum Wort „**Programm**“ ist.

### Was ist ein Programm?

Das Wort **Programm** wird häufig zur Beschreibung vieler Dinge verwendet:

* Der **Code**, den Sie schreiben, die **Python-Dateien**.

    for (@SuppressWarnings("rawtypes") // class literals
    Class<? extends AbstractTester> testerClass : testers) {
      @SuppressWarnings("unchecked") // getting rid of the raw type, for better or for worse
      TestSuite testerSuite =
          makeSuiteForTesterClass((Class<? extends AbstractTester<?>>) testerClass);
      if (testerSuite.countTestCases() > 0) {
        suite.addTest(testerSuite);
      }
    }