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path: root/labb6/res/output/expected-output-5.txt
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Welcome to TDDD86 Shrink-It!
This program uses the Huffman coding algorithm for compression.
Any file can be compressed by this method, often with substantial
savings. Decompression will faithfully reproduce the original.


1) build character frequency table
2) build encoding tree
3) build encoding map
4) encode data
5) decode data

C) compress file
D) decompress file
F) free tree memory

B) binary file viewer
T) text file viewer
S) side-by-side file comparison
Q) quit

Your choice? c
Input file name: hamlet.txt
Output file name (Enter for hamlet.huf): 
Reading 191734 uncompressed bytes.
Compressing ...
Wrote 106020 compressed bytes.

1) build character frequency table
2) build encoding tree
3) build encoding map
4) encode data
5) decode data

C) compress file
D) decompress file
F) free tree memory

B) binary file viewer
T) text file viewer
S) side-by-side file comparison
Q) quit

Your choice? d
Input file name: hamlet.huf
Output file name (Enter for hamlet-out.txt): hamlet-out.txt
Reading 106020 compressed bytes.
Decompressing ...
Wrote 191734 decompressed bytes.

1) build character frequency table
2) build encoding tree
3) build encoding map
4) encode data
5) decode data

C) compress file
D) decompress file
F) free tree memory

B) binary file viewer
T) text file viewer
S) side-by-side file comparison
Q) quit

Your choice? s
First file name: hamlet.txt
Second file name: hamlet-out.txt
Files match!

1) build character frequency table
2) build encoding tree
3) build encoding map
4) encode data
5) decode data

C) compress file
D) decompress file
F) free tree memory

B) binary file viewer
T) text file viewer
S) side-by-side file comparison
Q) quit

Your choice? 1
Read from a s)tring or f)ile? f
File name to process: hamlet.txt
Building frequency table ...
     10: '\n'  =>    4463
     32:  ' '  =>   47876
     33:  '!'  =>     373
     34:  '"'  =>       1
     38:  '&'  =>       1
     39:  '''  =>    1202
     40:  '('  =>      44
     41:  ')'  =>      43
     44:  ','  =>    3001
     45:  '-'  =>     298
     46:  '.'  =>    3133
     48:  '0'  =>       1
     49:  '1'  =>       7
     52:  '4'  =>       1
     54:  '6'  =>       1
     58:  ':'  =>      32
     59:  ';'  =>     442
     63:  '?'  =>     452
     65:  'A'  =>     633
     66:  'B'  =>     262
     67:  'C'  =>     176
     68:  'D'  =>     132
     69:  'E'  =>     238
     70:  'F'  =>     201
     71:  'G'  =>     250
     72:  'H'  =>     892
     73:  'I'  =>     854
     74:  'J'  =>       9
     75:  'K'  =>     180
     76:  'L'  =>     249
     77:  'M'  =>     252
     78:  'N'  =>     180
     79:  'O'  =>     376
     80:  'P'  =>     236
     81:  'Q'  =>     112
     82:  'R'  =>     139
     83:  'S'  =>     253
     84:  'T'  =>     790
     85:  'U'  =>      36
     86:  'V'  =>      33
     87:  'W'  =>     485
     89:  'Y'  =>     130
     91:  '['  =>     116
     93:  ']'  =>     112
     97:  'a'  =>    9317
     98:  'b'  =>    1568
     99:  'c'  =>    2430
    100:  'd'  =>    4893
    101:  'e'  =>   14722
    102:  'f'  =>    2497
    103:  'g'  =>    2170
    104:  'h'  =>    7839
    105:  'i'  =>    7657
    106:  'j'  =>     101
    107:  'k'  =>    1092
    108:  'l'  =>    5598
    109:  'm'  =>    4001
    110:  'n'  =>    8117
    111:  'o'  =>   10842
    112:  'p'  =>    1780
    113:  'q'  =>     108
    114:  'r'  =>    7638
    115:  's'  =>    8126
    116:  't'  =>   11073
    117:  'u'  =>    4307
    118:  'v'  =>    1189
    119:  'w'  =>    2647
    120:  'x'  =>     179
    121:  'y'  =>    3074
    122:  'z'  =>      72
    256:  EOF  =>       1
71 character frequencies found.

1) build character frequency table
2) build encoding tree
3) build encoding map
4) encode data
5) decode data

C) compress file
D) decompress file
F) free tree memory

B) binary file viewer
T) text file viewer
S) side-by-side file comparison
Q) quit

Your choice? 2
Building encoding tree ...
          {'s' (115), count=8126}
        {NOT, count=16243}
          {'n' (110), count=8117}
      {NOT, count=31739}
          {'h' (104), count=7839}
        {NOT, count=15496}
          {'i' (105), count=7657}
    {NOT, count=61684}
          {'r' (114), count=7638}
        {NOT, count=15223}
            {'m' (109), count=4001}
          {NOT, count=7585}
                    {'P' (80), count=236}
                  {NOT, count=460}
                      {']' (93), count=112}
                    {NOT, count=224}
                      {'Q' (81), count=112}
                {NOT, count=912}
                  {'?' (63), count=452}
              {NOT, count=1804}
                {'H' (72), count=892}
            {NOT, count=3584}
              {'p' (112), count=1780}
      {NOT, count=29945}
        {'e' (101), count=14722}
  {NOT, count=109560}
    {' ' (32), count=47876}
{NOT, count=191735}
                {'I' (73), count=854}
              {NOT, count=1706}
                  {';' (59), count=442}
                {NOT, count=852}
                      {'q' (113), count=108}
                    {NOT, count=209}
                      {'j' (106), count=101}
                  {NOT, count=410}
                    {'F' (70), count=201}
            {NOT, count=3274}
              {'b' (98), count=1568}
          {NOT, count=6407}
            {'.' (46), count=3133}
        {NOT, count=12482}
            {'y' (121), count=3074}
          {NOT, count=6075}
            {',' (44), count=3001}
      {NOT, count=23614}
          {'l' (108), count=5598}
        {NOT, count=11132}
                {'T' (84), count=790}
              {NOT, count=1539}
                  {'O' (79), count=376}
                {NOT, count=749}
                  {'!' (33), count=373}
            {NOT, count=2887}
                    {'N' (78), count=180}
                  {NOT, count=360}
                    {'K' (75), count=180}
                {NOT, count=715}
                    {'x' (120), count=179}
                  {NOT, count=355}
                    {'C' (67), count=176}
              {NOT, count=1348}
                {'A' (65), count=633}
          {NOT, count=5534}
            {'w' (119), count=2647}
    {NOT, count=45529}
        {'t' (116), count=11073}
      {NOT, count=21915}
        {'o' (111), count=10842}
  {NOT, count=82175}
            {'f' (102), count=2497}
          {NOT, count=4927}
            {'c' (99), count=2430}
        {NOT, count=9820}
          {'d' (100), count=4893}
      {NOT, count=19137}
        {'a' (97), count=9317}
    {NOT, count=36646}
              {''' (39), count=1202}
            {NOT, count=2391}
              {'v' (118), count=1189}
          {NOT, count=4603}
                        {'(' (40), count=44}
                      {NOT, count=87}
                        {')' (41), count=43}
                    {NOT, count=159}
                      {'z' (122), count=72}
                  {NOT, count=298}
                    {'R' (82), count=139}
                {NOT, count=596}
                  {'-' (45), count=298}
              {NOT, count=1120}
                    {'D' (68), count=132}
                  {NOT, count=262}
                    {'Y' (89), count=130}
                {NOT, count=524}
                  {'B' (66), count=262}
            {NOT, count=2212}
              {'k' (107), count=1092}
        {NOT, count=9066}
          {'\n' (10), count=4463}
      {NOT, count=17509}
          {'u' (117), count=4307}
        {NOT, count=8443}
            {'g' (103), count=2170}
          {NOT, count=4136}
                  {'S' (83), count=253}
                {NOT, count=505}
                  {'M' (77), count=252}
              {NOT, count=1004}
                  {'G' (71), count=250}
                {NOT, count=499}
                  {'L' (76), count=249}
            {NOT, count=1966}
                {'W' (87), count=485}
              {NOT, count=962}
                        {'U' (85), count=36}
                      {NOT, count=69}
                        {'V' (86), count=33}
                    {NOT, count=123}
                        {':' (58), count=32}
                      {NOT, count=54}
                            {'1' (49), count=7}
                          {NOT, count=13}
                                  {'4' (52), count=1}
                                {NOT, count=2}
                                  {'0' (48), count=1}
                              {NOT, count=4}
                                  {'&' (38), count=1}
                                {NOT, count=2}
                                  {'"' (34), count=1}
                            {NOT, count=6}
                                {EOF (256), count=1}
                              {NOT, count=2}
                                {'6' (54), count=1}
                        {NOT, count=22}
                          {'J' (74), count=9}
                  {NOT, count=239}
                    {'[' (91), count=116}
                {NOT, count=477}
                  {'E' (69), count=238}

1) build character frequency table
2) build encoding tree
3) build encoding map
4) encode data
5) decode data

C) compress file
D) decompress file
F) free tree memory

B) binary file viewer
T) text file viewer
S) side-by-side file comparison
Q) quit

Your choice? 3
Building encoding map ...
     10: '\n'  => 00010
     32:  ' '  => 10
     33:  '!'  => 011001100
     34:  '"'  => 00000000110010100
     38:  '&'  => 00000000110010101
     39:  '''  => 0001111
     40:  '('  => 000110111111
     41:  ')'  => 000110111110
     44:  ','  => 011100
     45:  '-'  => 000110110
     46:  '.'  => 011110
     48:  '0'  => 00000000110010110
     49:  '1'  => 00000000110011
     52:  '4'  => 00000000110010111
     54:  '6'  => 0000000011001000
     58:  ':'  => 000000001101
     59:  ';'  => 011111101
     63:  '?'  => 110100110
     65:  'A'  => 01100100
     66:  'B'  => 000110100
     67:  'C'  => 0110010100
     68:  'D'  => 0001101011
     69:  'E'  => 000000000
     70:  'F'  => 0111111000
     71:  'G'  => 000000101
     72:  'H'  => 11010010
     73:  'I'  => 01111111
     74:  'J'  => 0000000011000
     75:  'K'  => 0110010110
     76:  'L'  => 000000100
     77:  'M'  => 000000110
     78:  'N'  => 0110010111
     79:  'O'  => 011001101
     80:  'P'  => 1101001111
     81:  'Q'  => 11010011100
     82:  'R'  => 0001101110
     83:  'S'  => 000000111
     84:  'T'  => 01100111
     85:  'U'  => 000000001111
     86:  'V'  => 000000001110
     87:  'W'  => 00000001
     89:  'Y'  => 0001101010
     91:  '['  => 0000000010
     93:  ']'  => 11010011101
     97:  'a'  => 0010
     98:  'b'  => 0111110
     99:  'c'  => 001110
    100:  'd'  => 00110
    101:  'e'  => 1100
    102:  'f'  => 001111
    103:  'g'  => 000001
    104:  'h'  => 11101
    105:  'i'  => 11100
    106:  'j'  => 01111110010
    107:  'k'  => 0001100
    108:  'l'  => 01101
    109:  'm'  => 110101
    110:  'n'  => 11110
    111:  'o'  => 0100
    112:  'p'  => 1101000
    113:  'q'  => 01111110011
    114:  'r'  => 11011
    115:  's'  => 11111
    116:  't'  => 0101
    117:  'u'  => 00001
    118:  'v'  => 0001110
    119:  'w'  => 011000
    120:  'x'  => 0110010101
    121:  'y'  => 011101
    122:  'z'  => 00011011110
    256:  EOF  => 0000000011001001
71 character encodings found.

1) build character frequency table
2) build encoding tree
3) build encoding map
4) encode data
5) decode data

C) compress file
D) decompress file
F) free tree memory

B) binary file viewer
T) text file viewer
S) side-by-side file comparison
Q) quit

Your choice? q
Exiting.