public void Add()
{
IMultiSet <string> multiSet = new MultiSet <string>();
Assert.AreEqual(0, multiSet.Add(null, 3));
Assert.AreEqual(0, multiSet.Add(string.Empty, 4));
multiSet.Add("ab");
Assert.AreEqual(1, multiSet.Add("ab", 2));
Assert.AreEqual(3, multiSet.Count(i => i == null));
Assert.AreEqual(4, multiSet.Count(i => i == string.Empty));
Assert.AreEqual(3, multiSet.Count(i => i == "ab"));
}
public void SetItemCount()
{
IMultiSet <string> multiSet = new MultiSet <string>();
multiSet.Add("itemToIncrease", 3);
multiSet.Add("itemToDecrease", 3);
multiSet.Add("itemToDelete", 3);
multiSet.Add("itemNotChanged", 3);
Assert.AreEqual(3, multiSet.SetItemCount("itemToIncrease", 4));
Assert.AreEqual(3, multiSet.SetItemCount("itemToDecrease", 2));
Assert.AreEqual(3, multiSet.SetItemCount("itemToDelete", 0));
Assert.AreEqual(3, multiSet.SetItemCount("itemNotChanged", 3));
Assert.AreEqual(0, multiSet.SetItemCount("itemToAdd", 3));
Assert.AreEqual(4, multiSet.Count(i => i == "itemToIncrease"));
Assert.AreEqual(2, multiSet.Count(i => i == "itemToDecrease"));
Assert.IsFalse(multiSet.Any(i => i == "itemToDelete"));
Assert.AreEqual(3, multiSet.Count(i => i == "itemToAdd"));
Assert.AreEqual(3, multiSet.Count(i => i == "itemNotChanged"));
}
public void Remove()
{
IMultiSet <string> multiSet = new MultiSet <string>();
multiSet.Add("itemToDecrease", 3);
multiSet.Add("itemToDelete", 3);
multiSet.Add("itemToDelete_negative", 3);
multiSet.Add("itemNotChanged", 3);
Assert.AreEqual(3, multiSet.Remove("itemToDecrease", 1));
Assert.IsTrue(multiSet.Remove("itemToDecrease"));
Assert.AreEqual(3, multiSet.Remove("itemToDelete", 3));
Assert.IsFalse(multiSet.Remove("itemToDelete"));
Assert.AreEqual(3, multiSet.Remove("itemToDelete_negative", 4));
Assert.AreEqual(3, multiSet.Remove("itemNotChanged", 0));
Assert.AreEqual(0, multiSet.Remove("itemNotExist", 1));
Assert.IsFalse(multiSet.Remove("itemNotExist"));
Assert.AreEqual(1, multiSet.Count(i => i == "itemToDecrease"));
Assert.AreEqual(3, multiSet.Count(i => i == "itemNotChanged"));
Assert.IsFalse(multiSet.Any(i => i == "itemToDelete"));
Assert.IsFalse(multiSet.Any(i => i == "itemToDelete_negative"));
Assert.IsFalse(multiSet.Any(i => i == "itemNotExist"));
}
public void SetItemCount_ExpectedCountMisMatch_DoesNotUpdate()
{
IMultiSet <string> multiSet = new MultiSet <string>();
multiSet.Add("item", 3);
Assert.IsFalse(multiSet.SetItemCount("item", 4, 5));
Assert.IsFalse(multiSet.SetItemCount("item", 0, 5));
Assert.IsFalse(multiSet.SetItemCount("itemNotExist", 1, 5));
Assert.IsFalse(multiSet.SetItemCount("itemNotExist", 5, 5));
Assert.AreEqual(3, multiSet.Count(i => i == "item"));
Assert.IsFalse(multiSet.Any(i => i == "itemNotExist"));
}
public void Clear()
{
IMultiSet <string> multiSet = new MultiSet <string>();
multiSet.Add("item1", 3);
multiSet.Add("item2", 3);
multiSet.Add(null, 3);
Assert.AreEqual(9, multiSet.Count);
multiSet.Clear();
Assert.AreEqual(0, multiSet.Count);
Assert.AreEqual(0, multiSet.ToArray().Length);
// still usable after clear
multiSet.Add("item1", 3);
Assert.AreEqual(3, multiSet.Count);
Assert.AreEqual(3, multiSet.Count(i => i == "item1"));
}
private static void EncodeInternal(Stream input, Stream output, bool xor, long inputLength)
{
var rleSource = new List <NibbleRun>();
var counts = new SortedList <NibbleRun, long>();
using (IEnumerator <byte> unpacked = Unpacked(input))
{
// Build RLE nibble runs, RLE-encoding the nibble runs as we go along.
// Maximum run length is 8, meaning 7 repetitions.
if (unpacked.MoveNext())
{
NibbleRun current = new NibbleRun(unpacked.Current, 0);
while (unpacked.MoveNext())
{
NibbleRun next = new NibbleRun(unpacked.Current, 0);
if (next.Nibble != current.Nibble || current.Count >= 7)
{
rleSource.Add(current);
long count;
counts.TryGetValue(current, out count);
counts[current] = count + 1;
current = next;
}
else
{
++current.Count;
}
}
}
}
// We will use the Package-merge algorithm to build the optimal length-limited
// Huffman code for the current file. To do this, we must map the current
// problem onto the Coin Collector's problem.
// Build the basic coin collection.
var qt = new List <EncodingCodeTreeNode>();
foreach (var kvp in counts)
{
// No point in including anything with weight less than 2, as they
// would actually increase compressed file size if used.
if (kvp.Value > 1)
{
qt.Add(new EncodingCodeTreeNode(kvp.Key, kvp.Value));
}
}
qt.Sort();
// The base coin collection for the length-limited Huffman coding has
// one coin list per character in length of the limmitation. Each coin list
// has a constant "face value", and each coin in a list has its own
// "numismatic value". The "face value" is unimportant in the way the code
// is structured below; the "numismatic value" of each coin is the number
// of times the underlying nibble run appears in the source file.
// This will hold the Huffman code map.
// NOTE: while the codes that will be written in the header will not be
// longer than 8 bits, it is possible that a supplementary code map will
// add "fake" codes that are longer than 8 bits.
var codeMap = new SortedList <NibbleRun, KeyValuePair <long, byte> >();
// Size estimate. This is used to build the optimal compressed file.
long sizeEstimate = long.MaxValue;
// We will solve the Coin Collector's problem several times, each time
// ignoring more of the least frequent nibble runs. This allows us to find
// *the* lowest file size.
while (qt.Count > 1)
{
// Make a copy of the basic coin collection.
var q0 = new List <EncodingCodeTreeNode>(qt);
// Ignore the lowest weighted item. Will only affect the next iteration
// of the loop. If it can be proven that there is a single global
// minimum (and no local minima for file size), then this could be
// simplified to a binary search.
qt.RemoveAt(qt.Count - 1);
// We now solve the Coin collector's problem using the Package-merge
// algorithm. The solution goes here.
var solution = new List <EncodingCodeTreeNode>();
// This holds the packages from the last iteration.
var q = new List <EncodingCodeTreeNode>(q0);
int target = (q0.Count - 1) << 8, idx = 0;
while (target != 0)
{
// Gets lowest bit set in its proper place:
int val = (target & -target), r = 1 << idx;
// Is the current denomination equal to the least denomination?
if (r == val)
{
// If yes, take the least valuable node and put it into the solution.
solution.Add(q[q.Count - 1]);
q.RemoveAt(q.Count - 1);
target -= r;
}
// The coin collection has coins of values 1 to 8; copy from the
// original in those cases for the next step.
var q1 = new List <EncodingCodeTreeNode>();
if (idx < 7)
{
q1.AddRange(q0);
}
// Split the current list into pairs and insert the packages into
// the next list.
while (q.Count > 1)
{
EncodingCodeTreeNode child1 = q[q.Count - 1];
q.RemoveAt(q.Count - 1);
EncodingCodeTreeNode child0 = q[q.Count - 1];
q.RemoveAt(q.Count - 1);
q1.Add(new EncodingCodeTreeNode(child0, child1));
}
idx++;
q.Clear();
q.AddRange(q1);
q.Sort();
}
// The Coin Collector's problem has been solved. Now it is time to
// map the solution back into the length-limited Huffman coding problem.
// To do that, we iterate through the solution and count how many times
// each nibble run has been used (remember that the coin collection had
// had multiple coins associated with each nibble run) -- this number
// is the optimal bit length for the nibble run.
var baseSizeMap = new SortedList <NibbleRun, long>();
foreach (var item in solution)
{
item.Traverse(baseSizeMap);
}
// With the length-limited Huffman coding problem solved, it is now time
// to build the code table. As input, we have a map associating a nibble
// run to its optimal encoded bit length. We will build the codes using
// the canonical Huffman code.
// To do that, we must invert the size map so we can sort it by code size.
var sizeOnlyMap = new MultiSet <long>();
// This map contains lots more information, and is used to associate
// the nibble run with its optimal code. It is sorted by code size,
// then by frequency of the nibble run, then by the nibble run.
var sizeMap = new MultiSet <SizeMapItem>();
foreach (var item in baseSizeMap)
{
long size = item.Value;
sizeOnlyMap.Add(size);
sizeMap.Add(new SizeMapItem(size, counts[item.Key], item.Key));
}
// We now build the canonical Huffman code table.
// "baseCode" is the code for the first nibble run with a given bit length.
// "carry" is how many nibble runs were demoted to a higher bit length
// at an earlier step.
// "cnt" is how many nibble runs have a given bit length.
long baseCode = 0;
long carry = 0, cnt;
// This list contains the codes sorted by size.
var codes = new List <KeyValuePair <long, byte> >();
for (byte j = 1; j <= 8; j++)
{
// How many nibble runs have the desired bit length.
cnt = sizeOnlyMap.Count(j) + carry;
carry = 0;
for (int k = 0; k < cnt; k++)
{
// Sequential binary numbers for codes.
long code = baseCode + k;
long mask = (1L << j) - 1;
// We do not want any codes composed solely of 1's or which
// start with 111111, as that sequence is reserved.
if ((j <= 6 && code == mask) ||
(j > 6 && code == (mask & ~((1L << (j - 6)) - 1))))
{
// We must demote this many nibble runs to a longer code.
carry = cnt - k;
cnt = k;
break;
}
codes.Add(new KeyValuePair <long, byte>(code, j));
}
// This is the beginning bit pattern for the next bit length.
baseCode = (baseCode + cnt) << 1;
}
// With the canonical table build, the codemap can finally be built.
var tempCodemap = new SortedList <NibbleRun, KeyValuePair <long, byte> >();
using (IEnumerator <SizeMapItem> enumerator = sizeMap.GetEnumerator())
{
int pos = 0;
while (enumerator.MoveNext() && pos < codes.Count)
{
tempCodemap[enumerator.Current.NibbleRun] = codes[pos];
++pos;
}
}
// We now compute the final file size for this code table.
// 2 bytes at the start of the file, plus 1 byte at the end of the
// code table.
long tempsize_est = 3 * 8;
byte last = 0xff;
// Start with any nibble runs with their own code.
foreach (var item in tempCodemap)
{
// Each new nibble needs an extra byte.
if (item.Key.Nibble != last)
{
tempsize_est += 8;
last = item.Key.Nibble;
}
// 2 bytes per nibble run in the table.
tempsize_est += 2 * 8;
// How many bits this nibble run uses in the file.
tempsize_est += counts[item.Key] * item.Value.Value;
}
// Supplementary code map for the nibble runs that can be broken up into
// shorter nibble runs with a smaller bit length than inlining.
var supCodemap = new Dictionary <NibbleRun, KeyValuePair <long, byte> >();
// Now we will compute the size requirements for inline nibble runs.
foreach (var item in counts)
{
if (!tempCodemap.ContainsKey(item.Key))
{
// Nibble run does not have its own code. We need to find out if
// we can break it up into smaller nibble runs with total code
// size less than 13 bits or if we need to inline it (13 bits).
if (item.Key.Count == 0)
{
// If this is a nibble run with zero repeats, we can't break
// it up into smaller runs, so we inline it.
tempsize_est += (6 + 7) * item.Value;
}
else if (item.Key.Count == 1)
{
// We stand a chance of breaking the nibble run.
// This case is rather trivial, so we hard-code it.
// We can break this up only as 2 consecutive runs of a nibble
// run with count == 0.
KeyValuePair <long, byte> value;
if (!tempCodemap.TryGetValue(new NibbleRun(item.Key.Nibble, 0), out value) || value.Value > 6)
{
// The smaller nibble run either does not have its own code
// or it results in a longer bit code when doubled up than
// would result from inlining the run. In either case, we
// inline the nibble run.
tempsize_est += (6 + 7) * item.Value;
}
else
{
// The smaller nibble run has a small enough code that it is
// more efficient to use it twice than to inline our nibble
// run. So we do exactly that, by adding a (temporary) entry
// in the supplementary codemap, which will later be merged
// into the main codemap.
long code = value.Key;
byte len = value.Value;
code = (code << len) | code;
len <<= 1;
tempsize_est += len * item.Value;
supCodemap[item.Key] = new KeyValuePair <long, byte>(code, (byte)(0x80 | len));
}
}
else
{
// We stand a chance of breaking the nibble run.
byte n = item.Key.Count;
// This is a linear optimization problem subjected to 2
// constraints. If the number of repeats of the current nibble
// run is N, then we have N dimensions.
// Reference to table of linear coefficients. This table has
// N columns for each line.
byte[,] myLinearCoeffs = linearCoeffs[n - 2];
int rows = myLinearCoeffs.GetLength(0);
byte nibble = item.Key.Nibble;
// List containing the code length of each nibble run, or 13
// if the nibble run is not in the codemap.
var runlen = new List <long>();
// Initialize the list.
for (byte i = 0; i < n; i++)
{
// Is this run in the codemap?
KeyValuePair <long, byte> value;
if (tempCodemap.TryGetValue(new NibbleRun(nibble, i), out value))
{
// It is.
// Put code length in the vector.
runlen.Add(value.Value);
}
else
{
// It is not.
// Put inline length in the vector.
runlen.Add(6 + 7);
}
}
// Now go through the linear coefficient table and tally up
// the total code size, looking for the best case.
// The best size is initialized to be the inlined case.
long bestSize = 6 + 7;
int bestLine = -1;
for (int i = 0; i < rows; i++)
{
// Tally up the code length for this coefficient line.
long len = 0;
for (byte j = 0; j < n; j++)
{
byte c = myLinearCoeffs[i, j];
if (c == 0)
{
continue;
}
len += c * runlen[j];
}
// Is the length better than the best yet?
if (len < bestSize)
{
// If yes, store it as the best.
bestSize = len;
bestLine = i;
}
}
// Have we found a better code than inlining?
if (bestLine >= 0)
{
// We have; use it. To do so, we have to build the code
// and add it to the supplementary code table.
long code = 0, len = 0;
for (byte i = 0; i < n; i++)
{
byte c = myLinearCoeffs[bestLine, i];
if (c == 0)
{
continue;
}
// Is this run in the codemap?
KeyValuePair <long, byte> value;
if (tempCodemap.TryGetValue(new NibbleRun(nibble, i), out value))
{
// It is; it MUST be, as the other case is impossible
// by construction.
for (int j = 0; j < c; j++)
{
len += value.Value;
code <<= value.Value;
code |= value.Key;
}
}
}
if (len != bestSize)
{
// ERROR! DANGER! THIS IS IMPOSSIBLE!
// But just in case...
tempsize_est += (6 + 7) * item.Value;
}
else
{
// By construction, best_size is at most 12.
byte c = (byte)bestSize;
// Add it to supplementary code map.
supCodemap[item.Key] = new KeyValuePair <long, byte>(code, (byte)(0x80 | c));
tempsize_est += bestSize * item.Value;
}
}
else
{
// No, we will have to inline it.
tempsize_est += (6 + 7) * item.Value;
}
}
}
}
// Merge the supplementary code map into the temporary code map.
foreach (var item in supCodemap)
{
tempCodemap[item.Key] = item.Value;
}
// Round up to a full byte.
tempsize_est = (tempsize_est + 7) & ~7;
// Is this iteration better than the best?
if (tempsize_est < sizeEstimate)
{
// If yes, save the codemap and file size.
codeMap = tempCodemap;
sizeEstimate = tempsize_est;
}
}
// We now have a prefix-free code map associating the RLE-encoded nibble
// runs with their code. Now we write the file.
// Write header.
BigEndian.Write2(output, (ushort)((Convert.ToInt32(xor) << 15) | ((int)inputLength >> 5)));
byte lastNibble = 0xff;
foreach (var item in codeMap)
{
byte length = item.Value.Value;
// length with bit 7 set is a special device for further reducing file size, and
// should NOT be on the table.
if ((length & 0x80) != 0)
{
continue;
}
NibbleRun nibbleRun = item.Key;
if (nibbleRun.Nibble != lastNibble)
{
// 0x80 marks byte as setting a new nibble.
NeutralEndian.Write1(output, (byte)(0x80 | nibbleRun.Nibble));
lastNibble = nibbleRun.Nibble;
}
long code = item.Value.Key;
NeutralEndian.Write1(output, (byte)((nibbleRun.Count << 4) | length));
NeutralEndian.Write1(output, (byte)code);
}
// Mark end of header.
NeutralEndian.Write1(output, 0xff);
// Write the encoded bitstream.
UInt8_E_L_OutputBitStream bitStream = new UInt8_E_L_OutputBitStream(output);
// The RLE-encoded source makes for a far faster encode as we simply
// use the nibble runs as an index into the map, meaning a quick binary
// search gives us the code to use (if in the map) or tells us that we
// need to use inline RLE.
foreach (var nibbleRun in rleSource)
{
KeyValuePair <long, byte> value;
if (codeMap.TryGetValue(nibbleRun, out value))
{
long code = value.Key;
byte len = value.Value;
// len with bit 7 set is a device to bypass the code table at the
// start of the file. We need to clear the bit here before writing
// the code to the file.
len &= 0x7f;
// We can have codes in the 9-12 range due to the break up of large
// inlined runs into smaller non-inlined runs. Deal with those high
// bits first, if needed.
if (len > 8)
{
bitStream.Write((byte)((code >> 8) & 0xff), len - 8);
len = 8;
}
bitStream.Write((byte)(code & 0xff), len);
}
else
{
bitStream.Write(0x3f, 6);
bitStream.Write(nibbleRun.Count, 3);
bitStream.Write(nibbleRun.Nibble, 4);
}
}
// Fill remainder of last byte with zeroes and write if needed.
bitStream.Flush(false);
}