#include <iostream>
#include <cmath>
#include <algorithm>
#include <numeric>
#include <iterator>
#include <vector>
#include <cstdlib>
#include <cstddef>
#include <stdint.h>
#include <iomanip>
enum {
// Config
ZERO_POS = 2,
INDEX_SIZE = 5,
VALUE_LIMIT = -100,
// Constants
NUM_ROWS = 37,
NUM_COLUMNS = 73,
VALUE_LIMIT_POS = -VALUE_LIMIT,
NUM_BIN_OUTLIERS = 8,
NUM_VALUES = NUM_ROWS * (NUM_COLUMNS - 1),
INDEX_PLUS = INDEX_SIZE - ZERO_POS - 1,
BIN4 = 0,
BIN12 = 1,
INDEX_FULL_SIZE = INDEX_SIZE + 2
};
int16_t my_array[NUM_ROWS][NUM_COLUMNS] = {
{150,145,140,135,130,125,120,115,110,105,100,95,90,85,80,75,70,65,60,55,50,45,40,35,30,25,20,15,10,5,0,-4,-9,-14,-19,-24,-29,-34,-39,-44,-49,-54,-59,-64,-69,-74,-79,-84,-89,-94,-99,104,109,114,119,124,129,134,139,144,149,154,159,164,169,174,179,175,170,165,160,155,150}, \
{143,137,131,126,120,115,110,105,100,95,90,85,80,75,71,66,62,57,53,48,44,39,35,31,27,22,18,14,9,5,1,-3,-7,-11,-16,-20,-25,-29,-34,-38,-43,-47,-52,-57,-61,-66,-71,-76,-81,-86,-91,-96,101,107,112,117,123,128,134,140,146,151,157,163,169,175,178,172,166,160,154,148,143}, \
{130,124,118,112,107,101,96,92,87,82,78,74,70,65,61,57,54,50,46,42,38,34,31,27,23,19,16,12,8,4,1,-2,-6,-10,-14,-18,-22,-26,-30,-34,-38,-43,-47,-51,-56,-61,-65,-70,-75,-79,-84,-89,-94,100,105,111,116,122,128,135,141,148,155,162,170,177,174,166,159,151,144,137,130}, \
{111,104,99,94,89,85,81,77,73,70,66,63,60,56,53,50,46,43,40,36,33,30,26,23,20,16,13,10,6,3,0,-3,-6,-9,-13,-16,-20,-24,-28,-32,-36,-40,-44,-48,-52,-57,-61,-65,-70,-74,-79,-84,-88,-93,-98,103,109,115,121,128,135,143,152,162,172,176,165,154,144,134,125,118,111}, \
{85,81,77,74,71,68,65,63,60,58,56,53,51,49,46,43,41,38,35,32,29,26,23,19,16,13,10,7,4,1,-1,-3,-6,-9,-13,-16,-19,-23,-26,-30,-34,-38,-42,-46,-50,-54,-58,-62,-66,-70,-74,-78,-83,-87,-91,-95,100,105,110,117,124,133,144,159,178,160,141,125,112,103,96,90,85}, \
{62,60,58,57,55,54,52,51,50,48,47,46,44,42,41,39,36,34,31,28,25,22,19,16,13,10,7,4,2,0,-3,-5,-8,-10,-13,-16,-19,-22,-26,-29,-33,-37,-41,-45,-49,-53,-56,-60,-64,-67,-70,-74,-77,-80,-83,-86,-89,-91,-94,-97,101,105,111,130,109,84,77,74,71,68,66,64,62}, \
{46,46,45,44,44,43,42,42,41,41,40,39,38,37,36,35,33,31,28,26,23,20,16,13,10,7,4,1,-1,-3,-5,-7,-9,-12,-14,-16,-19,-22,-26,-29,-33,-36,-40,-44,-48,-51,-55,-58,-61,-64,-66,-68,-71,-72,-74,-74,-75,-74,-72,-68,-61,-48,-25,2,22,33,40,43,45,46,47,46,46}, \
{36,36,36,36,36,35,35,35,35,34,34,34,34,33,32,31,30,28,26,23,20,17,14,10,6,3,0,-2,-4,-7,-9,-10,-12,-14,-15,-17,-20,-23,-26,-29,-32,-36,-40,-43,-47,-50,-53,-56,-58,-60,-62,-63,-64,-64,-63,-62,-59,-55,-49,-41,-30,-17,-4,6,15,22,27,31,33,34,35,36,36}, \
{30,30,30,30,30,30,30,29,29,29,29,29,29,29,29,28,27,26,24,21,18,15,11,7,3,0,-3,-6,-9,-11,-12,-14,-15,-16,-17,-19,-21,-23,-26,-29,-32,-35,-39,-42,-45,-48,-51,-53,-55,-56,-57,-57,-56,-55,-53,-49,-44,-38,-31,-23,-14,-6,0,7,13,17,21,24,26,27,29,29,30}, \
{25,25,26,26,26,25,25,25,25,25,25,25,25,26,25,25,24,23,21,19,16,12,8,4,0,-3,-7,-10,-13,-15,-16,-17,-18,-19,-20,-21,-22,-23,-25,-28,-31,-34,-37,-40,-43,-46,-48,-49,-50,-51,-51,-50,-48,-45,-42,-37,-32,-26,-19,-13,-7,-1,3,7,11,14,17,19,21,23,24,25,25}, \
{21,22,22,22,22,22,22,22,22,22,22,22,22,22,22,22,21,20,18,16,13,9,5,1,-3,-7,-11,-14,-17,-18,-20,-21,-21,-22,-22,-22,-23,-23,-25,-27,-29,-32,-35,-37,-40,-42,-44,-45,-45,-45,-44,-42,-40,-36,-32,-27,-22,-17,-12,-7,-3,0,3,7,9,12,14,16,18,19,20,21,21}, \
{18,19,19,19,19,19,19,19,19,19,19,19,19,19,19,19,18,17,16,14,10,7,2,-1,-6,-10,-14,-17,-19,-21,-22,-23,-24,-24,-24,-24,-23,-23,-23,-24,-26,-28,-30,-33,-35,-37,-38,-39,-39,-38,-36,-34,-31,-28,-24,-19,-15,-10,-6,-3,0,1,4,6,8,10,12,14,15,16,17,18,18}, \
{16,16,17,17,17,17,17,17,17,17,17,16,16,16,16,16,16,15,13,11,8,4,0,-4,-9,-13,-16,-19,-21,-23,-24,-25,-25,-25,-25,-24,-23,-21,-20,-20,-21,-22,-24,-26,-28,-30,-31,-32,-31,-30,-29,-27,-24,-21,-17,-13,-9,-6,-3,-1,0,2,4,5,7,9,10,12,13,14,15,16,16}, \
{14,14,14,15,15,15,15,15,15,15,14,14,14,14,14,14,13,12,11,9,5,2,-2,-6,-11,-15,-18,-21,-23,-24,-25,-25,-25,-25,-24,-22,-21,-18,-16,-15,-15,-15,-17,-19,-21,-22,-24,-24,-24,-23,-22,-20,-18,-15,-12,-9,-5,-3,-1,0,1,2,4,5,6,8,9,10,11,12,13,14,14}, \
{12,13,13,13,13,13,13,13,13,13,13,13,12,12,12,12,11,10,9,6,3,0,-4,-8,-12,-16,-19,-21,-23,-24,-24,-24,-24,-23,-22,-20,-17,-15,-12,-10,-9,-9,-10,-12,-13,-15,-17,-17,-18,-17,-16,-15,-13,-11,-8,-5,-3,-1,0,1,1,2,3,4,6,7,8,9,10,11,12,12,12}, \
{11,11,11,11,11,12,12,12,12,12,11,11,11,11,11,10,10,9,7,5,2,-1,-5,-9,-13,-17,-20,-22,-23,-23,-23,-23,-22,-20,-18,-16,-14,-11,-9,-6,-5,-4,-5,-6,-8,-9,-11,-12,-12,-12,-12,-11,-9,-8,-6,-3,-1,0,0,1,1,2,3,4,5,6,7,8,9,10,11,11,11}, \
{10,10,10,10,10,10,10,10,10,10,10,10,10,10,9,9,9,7,6,3,0,-3,-6,-10,-14,-17,-20,-21,-22,-22,-22,-21,-19,-17,-15,-13,-10,-8,-6,-4,-2,-2,-2,-2,-4,-5,-7,-8,-8,-9,-8,-8,-7,-5,-4,-2,0,0,1,1,1,2,2,3,4,5,6,7,8,9,10,10,10}, \
{9,9,9,9,9,9,9,10,10,9,9,9,9,9,9,8,8,6,5,2,0,-4,-7,-11,-15,-17,-19,-21,-21,-21,-20,-18,-16,-14,-12,-10,-8,-6,-4,-2,-1,0,0,0,-1,-2,-4,-5,-5,-6,-6,-5,-5,-4,-3,-1,0,0,1,1,1,1,2,3,3,5,6,7,8,8,9,9,9}, \
{9,9,9,9,9,9,9,9,9,9,9,9,8,8,8,8,7,5,4,1,-1,-5,-8,-12,-15,-17,-19,-20,-20,-19,-18,-16,-14,-11,-9,-7,-5,-4,-2,-1,0,0,1,1,0,0,-2,-3,-3,-4,-4,-4,-3,-3,-2,-1,0,0,0,0,0,1,1,2,3,4,5,6,7,8,8,9,9}, \
{9,9,9,8,8,8,9,9,9,9,9,8,8,8,8,7,6,5,3,0,-2,-5,-9,-12,-15,-17,-18,-19,-19,-18,-16,-14,-12,-9,-7,-5,-4,-2,-1,0,0,1,1,1,1,0,0,-1,-2,-2,-3,-3,-2,-2,-1,-1,0,0,0,0,0,0,0,1,2,3,4,5,6,7,8,8,9}, \
{8,8,8,8,8,8,9,9,9,9,9,9,8,8,8,7,6,4,2,0,-3,-6,-9,-12,-15,-17,-18,-18,-17,-16,-14,-12,-10,-8,-6,-4,-2,-1,0,0,1,2,2,2,2,1,0,0,-1,-1,-1,-2,-2,-1,-1,0,0,0,0,0,0,0,0,0,1,2,3,4,5,6,7,8,8}, \
{8,8,8,8,9,9,9,9,9,9,9,9,9,8,8,7,5,3,1,-1,-4,-7,-10,-13,-15,-16,-17,-17,-16,-15,-13,-11,-9,-6,-5,-3,-2,0,0,0,1,2,2,2,2,1,1,0,0,0,-1,-1,-1,-1,-1,0,0,0,0,-1,-1,-1,-1,-1,0,0,1,3,4,5,7,7,8}, \
{8,8,9,9,9,9,10,10,10,10,10,10,10,9,8,7,5,3,0,-2,-5,-8,-11,-13,-15,-16,-16,-16,-15,-13,-12,-10,-8,-6,-4,-2,-1,0,0,1,2,2,3,3,2,2,1,0,0,0,0,0,0,0,0,0,0,-1,-1,-2,-2,-2,-2,-2,-1,0,0,1,3,4,6,7,8}, \
{7,8,9,9,9,10,10,11,11,11,11,11,10,10,9,7,5,3,0,-2,-6,-9,-11,-13,-15,-16,-16,-15,-14,-13,-11,-9,-7,-5,-3,-2,0,0,1,1,2,3,3,3,3,2,2,1,1,0,0,0,0,0,0,0,-1,-1,-2,-3,-3,-4,-4,-4,-3,-2,-1,0,1,3,5,6,7}, \
{6,8,9,9,10,11,11,12,12,12,12,12,11,11,9,7,5,2,0,-3,-7,-10,-12,-14,-15,-16,-15,-15,-13,-12,-10,-8,-7,-5,-3,-1,0,0,1,2,2,3,3,4,3,3,3,2,2,1,1,1,0,0,0,0,-1,-2,-3,-4,-4,-5,-5,-5,-5,-4,-2,-1,0,2,3,5,6}, \
{6,7,8,10,11,12,12,13,13,14,14,13,13,11,10,8,5,2,0,-4,-8,-11,-13,-15,-16,-16,-16,-15,-13,-12,-10,-8,-6,-5,-3,-1,0,0,1,2,3,3,4,4,4,4,4,3,3,3,2,2,1,1,0,0,-1,-2,-3,-5,-6,-7,-7,-7,-6,-5,-4,-3,-1,0,2,4,6}, \
{5,7,8,10,11,12,13,14,15,15,15,14,14,12,11,8,5,2,-1,-5,-9,-12,-14,-16,-17,-17,-16,-15,-14,-12,-11,-9,-7,-5,-3,-1,0,0,1,2,3,4,4,5,5,5,5,5,5,4,4,3,3,2,1,0,-1,-2,-4,-6,-7,-8,-8,-8,-8,-7,-6,-4,-2,0,1,3,5}, \
{4,6,8,10,12,13,14,15,16,16,16,16,15,13,11,9,5,2,-2,-6,-10,-13,-16,-17,-18,-18,-17,-16,-15,-13,-11,-9,-7,-5,-4,-2,0,0,1,3,3,4,5,6,6,7,7,7,7,7,6,5,4,3,2,0,-1,-3,-5,-7,-8,-9,-10,-10,-10,-9,-7,-5,-4,-1,0,2,4}, \
{4,6,8,10,12,14,15,16,17,18,18,17,16,15,12,9,5,1,-3,-8,-12,-15,-18,-19,-20,-20,-19,-18,-16,-15,-13,-11,-8,-6,-4,-2,-1,0,1,3,4,5,6,7,8,9,9,9,9,9,9,8,7,5,3,1,-1,-3,-6,-8,-10,-11,-12,-12,-11,-10,-9,-7,-5,-2,0,1,4}, \
{4,6,8,11,13,15,16,18,19,19,19,19,18,16,13,10,5,0,-5,-10,-15,-18,-21,-22,-23,-22,-22,-20,-18,-17,-14,-12,-10,-8,-5,-3,-1,0,1,3,5,6,8,9,10,11,12,12,13,12,12,11,9,7,5,2,0,-3,-6,-9,-11,-12,-13,-13,-12,-11,-10,-8,-6,-3,-1,1,4}, \
{3,6,9,11,14,16,17,19,20,21,21,21,19,17,14,10,4,-1,-8,-14,-19,-22,-25,-26,-26,-26,-25,-23,-21,-19,-17,-14,-12,-9,-7,-4,-2,0,1,3,5,7,9,11,13,14,15,16,16,16,16,15,13,10,7,4,0,-3,-7,-10,-12,-14,-15,-14,-14,-12,-11,-9,-6,-4,-1,1,3}, \
{4,6,9,12,14,17,19,21,22,23,23,23,21,19,15,9,2,-5,-13,-20,-25,-28,-30,-31,-31,-30,-29,-27,-25,-22,-20,-17,-14,-11,-9,-6,-3,0,1,4,6,9,11,13,15,17,19,20,21,21,21,20,18,15,11,6,2,-2,-7,-11,-13,-15,-16,-16,-15,-13,-11,-9,-7,-4,-1,1,4}, \
{4,7,10,13,15,18,20,22,24,25,25,25,23,20,15,7,-2,-12,-22,-29,-34,-37,-38,-38,-37,-36,-34,-31,-29,-26,-23,-20,-17,-13,-10,-7,-4,-1,2,5,8,11,13,16,18,21,23,24,26,26,26,26,24,21,17,12,5,0,-6,-10,-14,-16,-16,-16,-15,-14,-12,-10,-7,-4,-1,1,4}, \
{4,7,10,13,16,19,22,24,26,27,27,26,24,19,11,-1,-15,-28,-37,-43,-46,-47,-47,-45,-44,-41,-39,-36,-32,-29,-26,-22,-19,-15,-11,-8,-4,-1,2,5,9,12,15,19,22,24,27,29,31,33,33,33,32,30,26,21,14,6,0,-6,-11,-14,-15,-16,-15,-14,-12,-9,-7,-4,-1,1,4}, \
{6,9,12,15,18,21,23,25,27,28,27,24,17,4,-14,-34,-49,-56,-60,-60,-60,-58,-56,-53,-50,-47,-43,-40,-36,-32,-28,-25,-21,-17,-13,-9,-5,-1,2,6,10,14,17,21,24,28,31,34,37,39,41,42,43,43,41,38,33,25,17,8,0,-4,-8,-10,-10,-10,-8,-7,-4,-2,0,3,6}, \
{22,24,26,28,30,32,33,31,23,-18,-81,-96,-99,-98,-95,-93,-89,-86,-82,-78,-74,-70,-66,-62,-57,-53,-49,-44,-40,-36,-32,-27,-23,-19,-14,-10,-6,-1,2,6,10,15,19,23,27,31,35,38,42,45,49,52,55,57,60,61,63,63,62,61,57,53,47,40,33,28,23,21,19,19,19,20,22}, \
{168,173,178,176,171,166,161,156,151,146,141,136,131,126,121,116,111,106,101,-96,-91,-86,-81,-76,-71,-66,-61,-56,-51,-46,-41,-36,-31,-26,-21,-16,-11,-6,-1,3,8,13,18,23,28,33,38,43,48,53,58,63,68,73,78,83,88,93,98,103,108,113,118,123,128,133,138,143,148,153,158,163,168}};
using namespace std;
class Entropy
{
uint16_t total;
public:
Entropy(uint16_t add): total(add + NUM_VALUES) {}
double operator ()(double acc, uint16_t val)
{
double part = static_cast<double>(val) / total;
return acc - (part? part * log(part) / log(2.): 0.);
}
};
struct Taylor
{
int16_t d[2];
Taylor()
{
fill(d, d + 2, 0);
}
Taylor(int16_t val, const Taylor& other)
{
d[0] = val;
update(other);
}
int16_t predict()
{
return accumulate(d, d + 2, 0);
}
void copyFrom(const Taylor& other, size_t end = 2)
{
copy(other.d, other.d + end, d);
}
void update(const Taylor& other)
{
d[1] = d[0] - other.d[0];
}
void negate()
{
d[0] = -d[0];
d[1] = -d[1];
}
void clear()
{
fill(d, d + 2, 0);
}
};
class NibbleWriter
{
uint16_t* stream;
uint16_t* limit;
uint16_t block;
uint16_t pos;
public:
NibbleWriter(uint16_t* p, uint16_t x)
{
x &= 0x0FFF;
stream = p;
block = x;
limit = p + x;
pos = 12;
}
void write4(uint16_t x)
{
block |= (x & 15) << pos;
pos += 4;
if (pos == 16)
flush();
}
void write12(uint16_t x)
{
write4(x);
write4(x >> 4);
write4(x >> 8);
}
void flush()
{
if (pos)
{
if (stream >= limit)
{
cerr << "Internal error: nibble buffer overflow\n";
exit(1);
}
*stream++ = block;
}
block = 0;
pos = 0;
}
};
class ArWriter
{ // http://w...content-available-to-author-only...s.com/ac_arithmetic.html
uint16_t* stream;
uint16_t* table;
uint16_t* tableEnd;
uint16_t high;
uint16_t low;
uint16_t result;
uint16_t resultUsed;
uint16_t underflows;
public:
ArWriter(uint16_t* p, uint16_t* t, uint16_t* e)
: stream(p)
, table(t) // Zero value in *(t-1) expected
, tableEnd(e)
, high(0xFFFF)
, low(0)
, result(0)
, resultUsed(0)
, underflows(0)
{}
void write(uint16_t value)
{
uint32_t range = static_cast<uint32_t>(high) - low + 1;
high = low + ((range * table[value]) / *(tableEnd - 1)) - 1;
low = low + (range * table[value - 1]) / *(tableEnd - 1);
while (true) {
if ((high ^ low) & 0x8000) // different msb
{
if ((high & 0x4000) < (low & 0x4000))
{
++underflows;
low &= 0x3FFF;
high |= 0x4000;
shift();
}
else
{
break;
}
}
else // equal msb
{
writeBit((low >> 15) & 1);
while (underflows)
{
writeBit((~low >> 15) & 1);
--underflows;
}
shift();
}
}
}
void shift()
{
low <<= 1;
high <<= 1;
high |= 1;
}
void writeBit(uint16_t bit)
{
result <<= 1;
result |= bit;
++resultUsed;
if (resultUsed == 16)
flushResult();
}
void flushResult()
{
*stream++ = result;
result = 0;
resultUsed = 0;
}
void flush()
{
writeBit((low >> 14) & 1);
++underflows;
while (underflows--)
writeBit((~low >> 14) & 1);
while (resultUsed)
writeBit(0);
}
uint16_t* getStreamPos() const
{
return stream;
}
};
void encoder()
{
// Pass 1: calculate frequencies
vector<uint16_t> freq(1024);
uint16_t binary4 = 0;
uint16_t binary12 = 0;
Taylor lastTaylor;
for (size_t row = 0; row < NUM_ROWS; ++row)
{
for (size_t col = 0; col < NUM_COLUMNS - 1; ++col)
{ // last column is not encoded
Taylor taylor(my_array[row][col], lastTaylor);
int16_t fixup = taylor.d[0] - lastTaylor.predict();
// Hack for values, jumping from -100 to 100
if (taylor.d[0] >= VALUE_LIMIT_POS && lastTaylor.d[0] < 0)
fixup -= 2 * taylor.d[0];
// Value too big for arithmetic codec, use nibbles
if (fixup > INDEX_PLUS + NUM_BIN_OUTLIERS ||
fixup < -ZERO_POS - NUM_BIN_OUTLIERS)
{
++binary12;
}
else if (fixup > INDEX_PLUS || fixup < -ZERO_POS)
{
++binary4;
}
// Hack for values, jumping from -100 to 100
if (taylor.d[0] >= VALUE_LIMIT_POS && lastTaylor.d[0] < 0)
{
lastTaylor.negate();
taylor.update(lastTaylor);
}
// This will be used to predict the next value
// (derivative is not updated for the first column)
lastTaylor.copyFrom(taylor, col? 3: 1);
// Update table of frequencies
++freq[512 + fixup];
}
}
cout << "fixup: ";
ostream_iterator<int> out_it (cout, " ");
std::copy(freq.begin()+480, freq.end()-480, out_it);
cout << "\n";
cout << "binary4=" << binary4 << "\n";
cout << "binary12=" << binary12 << "\n";
cout << "-----------\n";
double bitsPerValue =
accumulate(freq.begin(), freq.end(), 0., Entropy(0));
cout
<< " Entropy=" << NUM_VALUES * bitsPerValue / 8.
<< " bits=" << bitsPerValue << "\n";
Entropy entropy(binary4 + binary12);
cout << "Static="
<< 2 * (INDEX_FULL_SIZE +
(2 + binary4 + binary12*3 + 3) / 4)
<< "\n";
// Add nibble frequencies
freq[512 - ZERO_POS + INDEX_SIZE] = binary4;
freq[512 - ZERO_POS + INDEX_SIZE + 1] = binary12;
bitsPerValue =
accumulate(freq.begin() + 512 - ZERO_POS,
freq.begin() + 512 - ZERO_POS + INDEX_FULL_SIZE,
0., entropy);
cout
<< "Entropy2=" << NUM_VALUES * bitsPerValue / 8.
<< " bits=" << bitsPerValue << "\n";
// Pass 2: encode arithmetic coder bitstream & nibbles
vector<uint16_t> compacted(1024);
// Cumulative sum of frequencies
partial_sum(freq.begin() + 512 - ZERO_POS,
freq.begin() + 512 - ZERO_POS + INDEX_FULL_SIZE,
compacted.begin() + 1);
// Configure nibble writer
uint16_t* pNibbles = &compacted[INDEX_FULL_SIZE + 1];
uint16_t nibbles = (3 + binary4 + binary12*3 + 3) / 4;
NibbleWriter nibbleWriter(pNibbles, nibbles);
uint16_t* pData = pNibbles + nibbles;
// Configure arithmetic coder
ArWriter arWriter(pData,
&compacted[1],
&compacted[1 + INDEX_FULL_SIZE]);
lastTaylor.clear();
for (size_t row = 0; row < NUM_ROWS; ++row)
{
for (size_t col = 0; col < NUM_COLUMNS - 1; ++col)
{ // last column is not encoded
Taylor taylor(my_array[row][col], lastTaylor);
int16_t fixup = taylor.d[0] - lastTaylor.predict();
// Hack for values, jumping from -100 to 100
if (taylor.d[0] >= VALUE_LIMIT_POS && lastTaylor.d[0] < 0)
fixup -= 2 * taylor.d[0];
// Value too big for arithmetic codec, use nibbles
if (fixup > INDEX_PLUS + NUM_BIN_OUTLIERS ||
fixup < -ZERO_POS - NUM_BIN_OUTLIERS)
{
nibbleWriter.write12(fixup);
arWriter.write(INDEX_SIZE + BIN12);
}
else if (fixup > INDEX_PLUS || fixup < -ZERO_POS)
{
if (fixup > 0)
nibbleWriter.write4(fixup - INDEX_PLUS - 1);
else
nibbleWriter.write4((-fixup - ZERO_POS - 1) | 0x8);
arWriter.write(INDEX_SIZE + BIN4);
}
else
{
arWriter.write(ZERO_POS + fixup);
}
// Hack for values, jumping from -100 to 100
if (taylor.d[0] >= VALUE_LIMIT_POS && lastTaylor.d[0] < 0)
{
lastTaylor.negate();
taylor.update(lastTaylor);
}
// This will be used to predict the next value
// (derivative is not updated for the first column)
lastTaylor.copyFrom(taylor, col? 3: 1);
}
}
nibbleWriter.flush();
arWriter.flush();
size_t size = arWriter.getStreamPos() - &compacted[0];
cout
<< "ArEnc="
<< (arWriter.getStreamPos() - pNibbles - nibbles) * 2
<< "\nTotal=" << size * 2 << "\n---------\n";
for (size_t i = 0; i < size; i += 8)
{
cout << " " << hex << showbase;
ostream_iterator<int> out_it (cout, ", ");
std::copy(compacted.begin() + i,
(i + 8 < size)?
compacted.begin() + i + 8: compacted.begin() + size,
out_it);
cout << "\n";
}
}
int main()
{
encoder();
return 0;
}
#include <iostream>
#include <cmath>
#include <algorithm>
#include <numeric>
#include <iterator>
#include <vector>
#include <cstdlib> 
#include <cstddef>
#include <stdint.h>
#include <iomanip>

enum {
  // Config
  ZERO_POS = 2,
  INDEX_SIZE = 5,
  VALUE_LIMIT = -100,

  // Constants
  NUM_ROWS = 37,
  NUM_COLUMNS = 73,
  VALUE_LIMIT_POS = -VALUE_LIMIT,
  NUM_BIN_OUTLIERS = 8,
  NUM_VALUES = NUM_ROWS * (NUM_COLUMNS - 1),
  INDEX_PLUS = INDEX_SIZE - ZERO_POS - 1,
  BIN4 = 0,
  BIN12 = 1,
  INDEX_FULL_SIZE = INDEX_SIZE + 2
};

int16_t my_array[NUM_ROWS][NUM_COLUMNS] = {
{150,145,140,135,130,125,120,115,110,105,100,95,90,85,80,75,70,65,60,55,50,45,40,35,30,25,20,15,10,5,0,-4,-9,-14,-19,-24,-29,-34,-39,-44,-49,-54,-59,-64,-69,-74,-79,-84,-89,-94,-99,104,109,114,119,124,129,134,139,144,149,154,159,164,169,174,179,175,170,165,160,155,150}, \
{143,137,131,126,120,115,110,105,100,95,90,85,80,75,71,66,62,57,53,48,44,39,35,31,27,22,18,14,9,5,1,-3,-7,-11,-16,-20,-25,-29,-34,-38,-43,-47,-52,-57,-61,-66,-71,-76,-81,-86,-91,-96,101,107,112,117,123,128,134,140,146,151,157,163,169,175,178,172,166,160,154,148,143}, \
{130,124,118,112,107,101,96,92,87,82,78,74,70,65,61,57,54,50,46,42,38,34,31,27,23,19,16,12,8,4,1,-2,-6,-10,-14,-18,-22,-26,-30,-34,-38,-43,-47,-51,-56,-61,-65,-70,-75,-79,-84,-89,-94,100,105,111,116,122,128,135,141,148,155,162,170,177,174,166,159,151,144,137,130}, \
{111,104,99,94,89,85,81,77,73,70,66,63,60,56,53,50,46,43,40,36,33,30,26,23,20,16,13,10,6,3,0,-3,-6,-9,-13,-16,-20,-24,-28,-32,-36,-40,-44,-48,-52,-57,-61,-65,-70,-74,-79,-84,-88,-93,-98,103,109,115,121,128,135,143,152,162,172,176,165,154,144,134,125,118,111}, \
{85,81,77,74,71,68,65,63,60,58,56,53,51,49,46,43,41,38,35,32,29,26,23,19,16,13,10,7,4,1,-1,-3,-6,-9,-13,-16,-19,-23,-26,-30,-34,-38,-42,-46,-50,-54,-58,-62,-66,-70,-74,-78,-83,-87,-91,-95,100,105,110,117,124,133,144,159,178,160,141,125,112,103,96,90,85}, \
{62,60,58,57,55,54,52,51,50,48,47,46,44,42,41,39,36,34,31,28,25,22,19,16,13,10,7,4,2,0,-3,-5,-8,-10,-13,-16,-19,-22,-26,-29,-33,-37,-41,-45,-49,-53,-56,-60,-64,-67,-70,-74,-77,-80,-83,-86,-89,-91,-94,-97,101,105,111,130,109,84,77,74,71,68,66,64,62}, \
{46,46,45,44,44,43,42,42,41,41,40,39,38,37,36,35,33,31,28,26,23,20,16,13,10,7,4,1,-1,-3,-5,-7,-9,-12,-14,-16,-19,-22,-26,-29,-33,-36,-40,-44,-48,-51,-55,-58,-61,-64,-66,-68,-71,-72,-74,-74,-75,-74,-72,-68,-61,-48,-25,2,22,33,40,43,45,46,47,46,46}, \
{36,36,36,36,36,35,35,35,35,34,34,34,34,33,32,31,30,28,26,23,20,17,14,10,6,3,0,-2,-4,-7,-9,-10,-12,-14,-15,-17,-20,-23,-26,-29,-32,-36,-40,-43,-47,-50,-53,-56,-58,-60,-62,-63,-64,-64,-63,-62,-59,-55,-49,-41,-30,-17,-4,6,15,22,27,31,33,34,35,36,36}, \
{30,30,30,30,30,30,30,29,29,29,29,29,29,29,29,28,27,26,24,21,18,15,11,7,3,0,-3,-6,-9,-11,-12,-14,-15,-16,-17,-19,-21,-23,-26,-29,-32,-35,-39,-42,-45,-48,-51,-53,-55,-56,-57,-57,-56,-55,-53,-49,-44,-38,-31,-23,-14,-6,0,7,13,17,21,24,26,27,29,29,30}, \
{25,25,26,26,26,25,25,25,25,25,25,25,25,26,25,25,24,23,21,19,16,12,8,4,0,-3,-7,-10,-13,-15,-16,-17,-18,-19,-20,-21,-22,-23,-25,-28,-31,-34,-37,-40,-43,-46,-48,-49,-50,-51,-51,-50,-48,-45,-42,-37,-32,-26,-19,-13,-7,-1,3,7,11,14,17,19,21,23,24,25,25}, \
{21,22,22,22,22,22,22,22,22,22,22,22,22,22,22,22,21,20,18,16,13,9,5,1,-3,-7,-11,-14,-17,-18,-20,-21,-21,-22,-22,-22,-23,-23,-25,-27,-29,-32,-35,-37,-40,-42,-44,-45,-45,-45,-44,-42,-40,-36,-32,-27,-22,-17,-12,-7,-3,0,3,7,9,12,14,16,18,19,20,21,21}, \
{18,19,19,19,19,19,19,19,19,19,19,19,19,19,19,19,18,17,16,14,10,7,2,-1,-6,-10,-14,-17,-19,-21,-22,-23,-24,-24,-24,-24,-23,-23,-23,-24,-26,-28,-30,-33,-35,-37,-38,-39,-39,-38,-36,-34,-31,-28,-24,-19,-15,-10,-6,-3,0,1,4,6,8,10,12,14,15,16,17,18,18}, \
{16,16,17,17,17,17,17,17,17,17,17,16,16,16,16,16,16,15,13,11,8,4,0,-4,-9,-13,-16,-19,-21,-23,-24,-25,-25,-25,-25,-24,-23,-21,-20,-20,-21,-22,-24,-26,-28,-30,-31,-32,-31,-30,-29,-27,-24,-21,-17,-13,-9,-6,-3,-1,0,2,4,5,7,9,10,12,13,14,15,16,16}, \
{14,14,14,15,15,15,15,15,15,15,14,14,14,14,14,14,13,12,11,9,5,2,-2,-6,-11,-15,-18,-21,-23,-24,-25,-25,-25,-25,-24,-22,-21,-18,-16,-15,-15,-15,-17,-19,-21,-22,-24,-24,-24,-23,-22,-20,-18,-15,-12,-9,-5,-3,-1,0,1,2,4,5,6,8,9,10,11,12,13,14,14}, \
{12,13,13,13,13,13,13,13,13,13,13,13,12,12,12,12,11,10,9,6,3,0,-4,-8,-12,-16,-19,-21,-23,-24,-24,-24,-24,-23,-22,-20,-17,-15,-12,-10,-9,-9,-10,-12,-13,-15,-17,-17,-18,-17,-16,-15,-13,-11,-8,-5,-3,-1,0,1,1,2,3,4,6,7,8,9,10,11,12,12,12}, \
{11,11,11,11,11,12,12,12,12,12,11,11,11,11,11,10,10,9,7,5,2,-1,-5,-9,-13,-17,-20,-22,-23,-23,-23,-23,-22,-20,-18,-16,-14,-11,-9,-6,-5,-4,-5,-6,-8,-9,-11,-12,-12,-12,-12,-11,-9,-8,-6,-3,-1,0,0,1,1,2,3,4,5,6,7,8,9,10,11,11,11}, \
{10,10,10,10,10,10,10,10,10,10,10,10,10,10,9,9,9,7,6,3,0,-3,-6,-10,-14,-17,-20,-21,-22,-22,-22,-21,-19,-17,-15,-13,-10,-8,-6,-4,-2,-2,-2,-2,-4,-5,-7,-8,-8,-9,-8,-8,-7,-5,-4,-2,0,0,1,1,1,2,2,3,4,5,6,7,8,9,10,10,10}, \
{9,9,9,9,9,9,9,10,10,9,9,9,9,9,9,8,8,6,5,2,0,-4,-7,-11,-15,-17,-19,-21,-21,-21,-20,-18,-16,-14,-12,-10,-8,-6,-4,-2,-1,0,0,0,-1,-2,-4,-5,-5,-6,-6,-5,-5,-4,-3,-1,0,0,1,1,1,1,2,3,3,5,6,7,8,8,9,9,9}, \
{9,9,9,9,9,9,9,9,9,9,9,9,8,8,8,8,7,5,4,1,-1,-5,-8,-12,-15,-17,-19,-20,-20,-19,-18,-16,-14,-11,-9,-7,-5,-4,-2,-1,0,0,1,1,0,0,-2,-3,-3,-4,-4,-4,-3,-3,-2,-1,0,0,0,0,0,1,1,2,3,4,5,6,7,8,8,9,9}, \
{9,9,9,8,8,8,9,9,9,9,9,8,8,8,8,7,6,5,3,0,-2,-5,-9,-12,-15,-17,-18,-19,-19,-18,-16,-14,-12,-9,-7,-5,-4,-2,-1,0,0,1,1,1,1,0,0,-1,-2,-2,-3,-3,-2,-2,-1,-1,0,0,0,0,0,0,0,1,2,3,4,5,6,7,8,8,9}, \
{8,8,8,8,8,8,9,9,9,9,9,9,8,8,8,7,6,4,2,0,-3,-6,-9,-12,-15,-17,-18,-18,-17,-16,-14,-12,-10,-8,-6,-4,-2,-1,0,0,1,2,2,2,2,1,0,0,-1,-1,-1,-2,-2,-1,-1,0,0,0,0,0,0,0,0,0,1,2,3,4,5,6,7,8,8}, \
{8,8,8,8,9,9,9,9,9,9,9,9,9,8,8,7,5,3,1,-1,-4,-7,-10,-13,-15,-16,-17,-17,-16,-15,-13,-11,-9,-6,-5,-3,-2,0,0,0,1,2,2,2,2,1,1,0,0,0,-1,-1,-1,-1,-1,0,0,0,0,-1,-1,-1,-1,-1,0,0,1,3,4,5,7,7,8}, \
{8,8,9,9,9,9,10,10,10,10,10,10,10,9,8,7,5,3,0,-2,-5,-8,-11,-13,-15,-16,-16,-16,-15,-13,-12,-10,-8,-6,-4,-2,-1,0,0,1,2,2,3,3,2,2,1,0,0,0,0,0,0,0,0,0,0,-1,-1,-2,-2,-2,-2,-2,-1,0,0,1,3,4,6,7,8}, \
{7,8,9,9,9,10,10,11,11,11,11,11,10,10,9,7,5,3,0,-2,-6,-9,-11,-13,-15,-16,-16,-15,-14,-13,-11,-9,-7,-5,-3,-2,0,0,1,1,2,3,3,3,3,2,2,1,1,0,0,0,0,0,0,0,-1,-1,-2,-3,-3,-4,-4,-4,-3,-2,-1,0,1,3,5,6,7}, \
{6,8,9,9,10,11,11,12,12,12,12,12,11,11,9,7,5,2,0,-3,-7,-10,-12,-14,-15,-16,-15,-15,-13,-12,-10,-8,-7,-5,-3,-1,0,0,1,2,2,3,3,4,3,3,3,2,2,1,1,1,0,0,0,0,-1,-2,-3,-4,-4,-5,-5,-5,-5,-4,-2,-1,0,2,3,5,6}, \
{6,7,8,10,11,12,12,13,13,14,14,13,13,11,10,8,5,2,0,-4,-8,-11,-13,-15,-16,-16,-16,-15,-13,-12,-10,-8,-6,-5,-3,-1,0,0,1,2,3,3,4,4,4,4,4,3,3,3,2,2,1,1,0,0,-1,-2,-3,-5,-6,-7,-7,-7,-6,-5,-4,-3,-1,0,2,4,6}, \
{5,7,8,10,11,12,13,14,15,15,15,14,14,12,11,8,5,2,-1,-5,-9,-12,-14,-16,-17,-17,-16,-15,-14,-12,-11,-9,-7,-5,-3,-1,0,0,1,2,3,4,4,5,5,5,5,5,5,4,4,3,3,2,1,0,-1,-2,-4,-6,-7,-8,-8,-8,-8,-7,-6,-4,-2,0,1,3,5}, \
{4,6,8,10,12,13,14,15,16,16,16,16,15,13,11,9,5,2,-2,-6,-10,-13,-16,-17,-18,-18,-17,-16,-15,-13,-11,-9,-7,-5,-4,-2,0,0,1,3,3,4,5,6,6,7,7,7,7,7,6,5,4,3,2,0,-1,-3,-5,-7,-8,-9,-10,-10,-10,-9,-7,-5,-4,-1,0,2,4}, \
{4,6,8,10,12,14,15,16,17,18,18,17,16,15,12,9,5,1,-3,-8,-12,-15,-18,-19,-20,-20,-19,-18,-16,-15,-13,-11,-8,-6,-4,-2,-1,0,1,3,4,5,6,7,8,9,9,9,9,9,9,8,7,5,3,1,-1,-3,-6,-8,-10,-11,-12,-12,-11,-10,-9,-7,-5,-2,0,1,4}, \
{4,6,8,11,13,15,16,18,19,19,19,19,18,16,13,10,5,0,-5,-10,-15,-18,-21,-22,-23,-22,-22,-20,-18,-17,-14,-12,-10,-8,-5,-3,-1,0,1,3,5,6,8,9,10,11,12,12,13,12,12,11,9,7,5,2,0,-3,-6,-9,-11,-12,-13,-13,-12,-11,-10,-8,-6,-3,-1,1,4}, \
{3,6,9,11,14,16,17,19,20,21,21,21,19,17,14,10,4,-1,-8,-14,-19,-22,-25,-26,-26,-26,-25,-23,-21,-19,-17,-14,-12,-9,-7,-4,-2,0,1,3,5,7,9,11,13,14,15,16,16,16,16,15,13,10,7,4,0,-3,-7,-10,-12,-14,-15,-14,-14,-12,-11,-9,-6,-4,-1,1,3}, \
{4,6,9,12,14,17,19,21,22,23,23,23,21,19,15,9,2,-5,-13,-20,-25,-28,-30,-31,-31,-30,-29,-27,-25,-22,-20,-17,-14,-11,-9,-6,-3,0,1,4,6,9,11,13,15,17,19,20,21,21,21,20,18,15,11,6,2,-2,-7,-11,-13,-15,-16,-16,-15,-13,-11,-9,-7,-4,-1,1,4}, \
{4,7,10,13,15,18,20,22,24,25,25,25,23,20,15,7,-2,-12,-22,-29,-34,-37,-38,-38,-37,-36,-34,-31,-29,-26,-23,-20,-17,-13,-10,-7,-4,-1,2,5,8,11,13,16,18,21,23,24,26,26,26,26,24,21,17,12,5,0,-6,-10,-14,-16,-16,-16,-15,-14,-12,-10,-7,-4,-1,1,4}, \
{4,7,10,13,16,19,22,24,26,27,27,26,24,19,11,-1,-15,-28,-37,-43,-46,-47,-47,-45,-44,-41,-39,-36,-32,-29,-26,-22,-19,-15,-11,-8,-4,-1,2,5,9,12,15,19,22,24,27,29,31,33,33,33,32,30,26,21,14,6,0,-6,-11,-14,-15,-16,-15,-14,-12,-9,-7,-4,-1,1,4}, \
{6,9,12,15,18,21,23,25,27,28,27,24,17,4,-14,-34,-49,-56,-60,-60,-60,-58,-56,-53,-50,-47,-43,-40,-36,-32,-28,-25,-21,-17,-13,-9,-5,-1,2,6,10,14,17,21,24,28,31,34,37,39,41,42,43,43,41,38,33,25,17,8,0,-4,-8,-10,-10,-10,-8,-7,-4,-2,0,3,6}, \
{22,24,26,28,30,32,33,31,23,-18,-81,-96,-99,-98,-95,-93,-89,-86,-82,-78,-74,-70,-66,-62,-57,-53,-49,-44,-40,-36,-32,-27,-23,-19,-14,-10,-6,-1,2,6,10,15,19,23,27,31,35,38,42,45,49,52,55,57,60,61,63,63,62,61,57,53,47,40,33,28,23,21,19,19,19,20,22}, \
{168,173,178,176,171,166,161,156,151,146,141,136,131,126,121,116,111,106,101,-96,-91,-86,-81,-76,-71,-66,-61,-56,-51,-46,-41,-36,-31,-26,-21,-16,-11,-6,-1,3,8,13,18,23,28,33,38,43,48,53,58,63,68,73,78,83,88,93,98,103,108,113,118,123,128,133,138,143,148,153,158,163,168}};

      using namespace std;

      class Entropy
      {
        uint16_t total;
      public:
        Entropy(uint16_t add): total(add + NUM_VALUES) {}
        double operator ()(double acc, uint16_t val)
        {
	  double part = static_cast<double>(val) / total;
	  return acc - (part? part * log(part) / log(2.): 0.);
        }
      };

      struct Taylor
      {
	int16_t d[2];
	Taylor()
	{
	  fill(d, d + 2, 0);
	}
	Taylor(int16_t val, const Taylor& other)
	{
	  d[0] = val;
	  update(other);
	}
	int16_t predict()
	{
	  return accumulate(d, d + 2, 0);
	}
	void copyFrom(const Taylor& other, size_t end = 2)
	{
	  copy(other.d, other.d + end, d);
	}
	void update(const Taylor& other)
	{
	  d[1] = d[0] - other.d[0];
	}
	void negate()
	{
	  d[0] = -d[0];
	  d[1] = -d[1];
	}
	void clear()
	{
	  fill(d, d + 2, 0);
	}
      };

      class NibbleWriter
      {
	uint16_t* stream;
	uint16_t* limit;
	uint16_t block;
	uint16_t pos;
      public:
	NibbleWriter(uint16_t* p, uint16_t x)
	{
	  x &= 0x0FFF;
	  stream = p;
	  block = x;
	  limit = p + x;
	  pos = 12;
	}
	void write4(uint16_t x)
	{
	  block |= (x & 15) << pos;
	  pos += 4;
	  if (pos == 16)
	    flush();
	}
	void write12(uint16_t x)
	{
	  write4(x);
	  write4(x >> 4);
	  write4(x >> 8);
	}
	void flush()
	{
	  if (pos)
	  {
	    if (stream >= limit)
	    {
	      cerr << "Internal error: nibble buffer overflow\n";
	      exit(1);
	    }

	    *stream++ = block;
	  }

	  block = 0;
	  pos = 0;
	}
      };

      class ArWriter
      { // http://w...content-available-to-author-only...s.com/ac_arithmetic.html
	uint16_t* stream;
	uint16_t* table;
	uint16_t* tableEnd;
	uint16_t high;
	uint16_t low;
	uint16_t result;
	uint16_t resultUsed;
	uint16_t underflows;
      public:
	ArWriter(uint16_t* p, uint16_t* t, uint16_t* e)
	: stream(p)
	, table(t) // Zero value in *(t-1) expected
	, tableEnd(e)
	, high(0xFFFF)
	, low(0)
	, result(0)
	, resultUsed(0)
	, underflows(0)
	{}
	void write(uint16_t value)
	{
	  uint32_t range = static_cast<uint32_t>(high) - low + 1;
	  high = low + ((range * table[value]) / *(tableEnd - 1)) - 1;
	  low = low + (range * table[value - 1]) / *(tableEnd - 1);

	  while (true) {
	    if ((high ^ low) & 0x8000) // different msb
	    {
	      if ((high & 0x4000) < (low & 0x4000))
	      {
		++underflows;
		low &= 0x3FFF;
		high |= 0x4000;
		shift();
	      }
	      else
	      {
		break;
	      }
	    }
	    else // equal msb
	    {
	      writeBit((low >> 15) & 1);
	      while (underflows)
	      {
		writeBit((~low >> 15) & 1);
		--underflows;
	      }
	      shift();
	    }
	  }
	}
	void shift()
	{
	  low <<= 1;
	  high <<= 1;
	  high |= 1;
	}
	void writeBit(uint16_t bit)
	{
	  result <<= 1;
	  result |= bit;
	  ++resultUsed;
	  if (resultUsed == 16)
	    flushResult();
	}
	void flushResult()
	{
	  *stream++ = result;
	  result = 0;
	  resultUsed = 0;
	}
	void flush()
	{
	  writeBit((low >> 14) & 1);
	  ++underflows;

	  while (underflows--)
	    writeBit((~low >> 14) & 1);

	  while (resultUsed)
	    writeBit(0);
	}
	uint16_t* getStreamPos() const
	{
	  return stream;
	}
      };

      void encoder()
      {
	// Pass 1: calculate frequencies
	vector<uint16_t> freq(1024);
	uint16_t binary4 = 0;
	uint16_t binary12 = 0;
	Taylor lastTaylor;

	for (size_t row = 0; row < NUM_ROWS; ++row)
	{
	  for (size_t col = 0; col < NUM_COLUMNS - 1; ++col)
	    { // last column is not encoded
	    Taylor taylor(my_array[row][col], lastTaylor);
	    int16_t fixup = taylor.d[0] - lastTaylor.predict();

	    // Hack for values, jumping from -100 to 100
	    if (taylor.d[0] >= VALUE_LIMIT_POS && lastTaylor.d[0] < 0)
	      fixup -= 2 * taylor.d[0];

	    // Value too big for arithmetic codec, use nibbles
	    if (fixup > INDEX_PLUS + NUM_BIN_OUTLIERS ||
		fixup < -ZERO_POS - NUM_BIN_OUTLIERS)
	    {
	      ++binary12;
	    }
	    else if (fixup > INDEX_PLUS || fixup < -ZERO_POS)
	    {
	      ++binary4;
	    }

	    // Hack for values, jumping from -100 to 100
	    if (taylor.d[0] >= VALUE_LIMIT_POS && lastTaylor.d[0] < 0)
	    {
	      lastTaylor.negate();
	      taylor.update(lastTaylor);
	    }

	    // This will be used to predict the next value
	    // (derivative is not updated for the first column)
	    lastTaylor.copyFrom(taylor, col? 3: 1);

	    // Update table of frequencies
	    ++freq[512 + fixup];
	  }
	}

	cout << "fixup: ";
	ostream_iterator<int> out_it (cout, " ");
	std::copy(freq.begin()+480, freq.end()-480, out_it);
	cout << "\n";
	cout << "binary4=" << binary4 << "\n";
	cout << "binary12=" << binary12 << "\n";
	cout << "-----------\n";

	double bitsPerValue =
	  accumulate(freq.begin(), freq.end(), 0., Entropy(0));

	cout
	  << " Entropy=" << NUM_VALUES * bitsPerValue / 8.
	  << " bits=" << bitsPerValue << "\n";

	Entropy entropy(binary4 + binary12);

	cout << "Static="
	     << 2 * (INDEX_FULL_SIZE +
		     (2 + binary4 + binary12*3 + 3) / 4)
	     << "\n";

	// Add nibble frequencies
	freq[512 - ZERO_POS + INDEX_SIZE] = binary4;
	freq[512 - ZERO_POS + INDEX_SIZE + 1] = binary12;

	bitsPerValue =
	  accumulate(freq.begin() + 512 - ZERO_POS,
		     freq.begin() + 512 - ZERO_POS + INDEX_FULL_SIZE,
		     0., entropy);
	cout
	  << "Entropy2=" << NUM_VALUES * bitsPerValue / 8.
	  << " bits=" << bitsPerValue << "\n";

	// Pass 2: encode arithmetic coder bitstream & nibbles
	vector<uint16_t> compacted(1024);

	// Cumulative sum of frequencies
	partial_sum(freq.begin() + 512 - ZERO_POS,
	     freq.begin() + 512 - ZERO_POS + INDEX_FULL_SIZE,
	     compacted.begin() + 1);

	// Configure nibble writer
	uint16_t* pNibbles = &compacted[INDEX_FULL_SIZE + 1];
	uint16_t nibbles = (3 + binary4 + binary12*3 + 3) / 4;
	NibbleWriter nibbleWriter(pNibbles, nibbles);
	uint16_t* pData = pNibbles + nibbles;

	// Configure arithmetic coder
	ArWriter arWriter(pData,
			  &compacted[1],
			  &compacted[1 + INDEX_FULL_SIZE]);

	lastTaylor.clear();

	for (size_t row = 0; row < NUM_ROWS; ++row)
	{
	  for (size_t col = 0; col < NUM_COLUMNS - 1; ++col)
	  { // last column is not encoded
	    Taylor taylor(my_array[row][col], lastTaylor);
	    int16_t fixup = taylor.d[0] - lastTaylor.predict();

	    // Hack for values, jumping from -100 to 100
	    if (taylor.d[0] >= VALUE_LIMIT_POS && lastTaylor.d[0] < 0)
	      fixup -= 2 * taylor.d[0];

	    // Value too big for arithmetic codec, use nibbles
	    if (fixup > INDEX_PLUS + NUM_BIN_OUTLIERS ||
		fixup < -ZERO_POS - NUM_BIN_OUTLIERS)
	    {
	      nibbleWriter.write12(fixup);
	      arWriter.write(INDEX_SIZE + BIN12);
	    }
	    else if (fixup > INDEX_PLUS || fixup < -ZERO_POS)
	    {
	      if (fixup > 0)
		nibbleWriter.write4(fixup - INDEX_PLUS - 1);
	      else
		nibbleWriter.write4((-fixup - ZERO_POS - 1) | 0x8);

	      arWriter.write(INDEX_SIZE + BIN4);
	    }
	    else
	    {
	      arWriter.write(ZERO_POS + fixup);
	    }

	    // Hack for values, jumping from -100 to 100
	    if (taylor.d[0] >= VALUE_LIMIT_POS && lastTaylor.d[0] < 0)
	    {
	      lastTaylor.negate();
	      taylor.update(lastTaylor);
	    }

	    // This will be used to predict the next value
	    // (derivative is not updated for the first column)
	    lastTaylor.copyFrom(taylor, col? 3: 1);
	  }
	}

	nibbleWriter.flush();
	arWriter.flush();

	size_t size = arWriter.getStreamPos() - &compacted[0];

	cout
	  << "ArEnc="
	  << (arWriter.getStreamPos() - pNibbles - nibbles) * 2
	  << "\nTotal=" << size * 2 << "\n---------\n";

	for (size_t i = 0; i < size; i += 8)
	{
	  cout << "    " << hex << showbase;
	  ostream_iterator<int> out_it (cout, ", ");

	  std::copy(compacted.begin() + i,
		    (i + 8 < size)?
		    compacted.begin() + i + 8: compacted.begin() + size,
		    out_it);

	  cout << "\n";
	}
      }

      int main()
      {
	encoder();
	return 0;
      }
