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DATE 2016-12-01

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MESSAGE
DATE 2016-12-15
FROM Christopher League
SUBJECT Subject: [Learn] zlib demo with vector::resize
From learn-bounces-at-nylxs.com Thu Dec 15 17:49:11 2016
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Subject: [Learn] zlib demo with vector::resize
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Here's a cool little demo that generates some pseudo-random chars in a
buffer (represented by `vector`), compresses them using zlib,
decompresses, and checks that the final result matches the input.

Thanks Ruben, for the afternoon hack. :/

CL

~~~~ {.cpp}
// zdemo
// % make zdemo CXXFLAGS="-g -Wall" LDFLAGS=-lz
#include
#include
#include
#include
#include
#include "zlib.h"
using namespace std;

// This many bytes per kilobyte (kibibyte)
const unsigned KIBI = 1024;

// Since the deflating and inflating procedures have a lot in common, this is
// an attempt to capture the commonality. Yes I wrote a class, try not to
// faint.
class Flater {
public:
const int LEVEL = Z_DEFAULT_COMPRESSION;
const bool TRACE_RESIZES = true;
const unsigned MINIMAL_CHUNK = 16 * KIBI; // Start point for output size
Flater();
virtual ~Flater() { };
void run(vector& in, vector& out);
protected:
virtual int flate() = 0;
z_stream zs;
};

Flater::Flater()
{
zs.zalloc = Z_NULL;
zs.zfree = Z_NULL;
zs.opaque = Z_NULL;
}

// Here's the generic algorithm. The input buffer is fully available. The
// output buffer doubles its size as needed. It can start out empty, and we'll
// allocate MINIMAL_CHUNK bytes up front.
void Flater::run(vector& in, vector& out)
{
zs.avail_in = in.size(); // #bytes available to be read
zs.next_in = in.data(); // ptr to bytes available to be read

unsigned int bytes_written = 0;
do {
out.resize(max(MINIMAL_CHUNK, 2*(unsigned)out.size()));
if(TRACE_RESIZES) {
cout << " Resize " << out.size() << '\n';
}

zs.avail_out = out.size() - bytes_written;
zs.next_out = out.data() + bytes_written;

int r = flate();
assert(Z_STREAM_ERROR != r);

bytes_written = out.size() - zs.avail_out;

} while (zs.avail_out == 0);
assert(zs.avail_in == 0); // All input will be used

out.resize(bytes_written); // Reduce size
if(TRACE_RESIZES) {
cout << " Finish " << out.size() << '\n';
}
}

////////////////////////////////////////////////////////////////

// Here's the customizations for deflating (compression).

class Deflater : public Flater {
public:
Deflater();
~Deflater();
int flate();
};

Deflater::Deflater()
{
int r = deflateInit(&zs, LEVEL);
assert(Z_OK == r);
}

int Deflater::flate()
{
return deflate(&zs, Z_FINISH);
}

Deflater::~Deflater()
{
deflateEnd(&zs);
}

////////////////////////////////////////////////////////////////

// Here's the customizations for inflating (decompression).

class Inflater : public Flater {
public:
Inflater();
~Inflater();
int flate();
};


Inflater::Inflater()
{
int r = inflateInit(&zs);
assert(Z_OK == r);
}

int Inflater::flate()
{
return inflate(&zs, Z_FINISH);
}

Inflater::~Inflater()
{
inflateEnd(&zs);
}

////////////////////////////////////////////////////////////////

// For testing purposes, fill buffer with a mixture of lowercase letters and
// random bytes. If the data is completely uniform-random in the range 0-255,
// then we wouldn't be able to compress. Having a significant portion of
// lower-case letters (maybe) makes it more compressible.
void generate_data(vector& buffer)
{
assert(buffer.size() > 0);
const unsigned RANDOM_RATIO = 10;
srand(time(0));
for(unsigned i = 0; i < buffer.size(); i++) {
buffer[i] =
(rand()%RANDOM_RATIO == 0) ?
rand() :
'a' + (rand()%26);
}
}


// Print sizes, and first several bytes in hex and ASCII, similar to a hex
// dump.
void output_sample(const vector& buffer)
{
cout << " "
<< buffer.size() << " bytes (~"
<< buffer.size()/KIBI << "K, ~"
<< buffer.size()/KIBI/KIBI << "M)\n";

const unsigned SEVERAL = min(16, (int)buffer.size());
cout.fill('0');
cout << hex << " ";
for(unsigned i = 0; i < SEVERAL; i++) {
cout << setw(2) << (int)buffer[i] << ' ';
}
for(unsigned i = 0; i < SEVERAL; i++) {
cout << (char)(isprint(buffer[i])? buffer[i] : '.');
}
cout << dec << '\n';
}

////////////////////////////////////////////////////////////////

int main()
{
const float INPUT_SIZE_MB = 25.7;
const unsigned INPUT_SIZE_BYTES = INPUT_SIZE_MB * KIBI * KIBI;

cout << "Generating some data...\n";
vector original(INPUT_SIZE_BYTES);
generate_data(original);
output_sample(original);

cout << "Compressing...\n";
vector compressed;
Deflater().run(original, compressed);
output_sample(compressed);

double ratio = (double)compressed.size() / original.size();
cout << "Compression ratio: " << fixed << setprecision(3) << ratio << '\n';

vector copy;
cout << "Decompressing...\n";
Inflater().run(compressed, copy);
output_sample(copy);

assert(copy.size() == INPUT_SIZE_BYTES);
assert(copy == original);
cout << "Exact match!\n";

return 0;
}
~~~~


--==-=-=
Content-Type: text/html; charset=utf-8
Content-Transfer-Encoding: quoted-printable






1.0, user-scalable=3Dyes">




Here=E2=80=99s a cool little demo that generates some pseudo-random char=
s in a buffer (represented by vector<uint8_t>), compress=
es them using zlib, decompresses, and checks that the final result matches =
the input.


Thanks Ruben, for the afternoon hack. :/


CL


ceCode cpp">// zdemo
// % make zdemo CXXFLAGS=3D"-g -Wall" LDFLAGS=
=3D-lz

#include <iostream>
#include <iomanip>
#include <vector>
#include <cassert>
#include <cstdint>
#include "zlib.h"
using namespace std;

// This many bytes per kilobyte (kibibyte)
const unsigned KIBI =3D=
1024;

// Since the deflating and inflating procedures have a l=
ot in common, this is

// an attempt to capture the commonality. Yes I wrote a =
class, try not to

// faint.
class Flater {
public:
const int LEVEL =3D=
Z_DEFAULT_COMPRESSION;
const bool TRACE_RE=
SIZES =3D true;
const unsigned MINI=
MAL_CHUNK =3D 16 * KIBI; // St=
art point for output size

Flater();
virtual ~Flater() { };
void run(vector<uint8_t=
>& in, vector<uint8_t>& o=
ut);
protected:
virtual int flate()=
=3D 0;
z_stream zs;
};

Flater::Flater()
{
zs.zalloc =3D Z_NULL;
zs.zfree =3D Z_NULL;
zs.opaque =3D Z_NULL;
}

// Here's the generic algorithm. The input buffer is=
fully available. The

// output buffer doubles its size as needed. It can star=
t out empty, and we'll

// allocate MINIMAL_CHUNK bytes up front.
void Flater::run(vector<uin=
t8_t
>& in, vector<uint8_t>&am=
p; out)
{
zs.avail_in =3D in.size(); // #bytes available to =
be read

zs.next_in =3D in.data(); // ptr to bytes availab=
le to be read


unsigned int bytes_=
written =3D 0;
do {
out.resize(max(MINIMAL_CHUNK, 2*(ass=3D"dt">unsigned)out.size()));
if(TRACE_RESIZES) {
cout << " Resize " &=
lt;< out.size() << 'h">\n';
}

zs.avail_out =3D out.size() - bytes_written;
zs.next_out =3D out.data() + bytes_written;

int r =3D flate();
assert(Z_STREAM_ERROR !=3D r);

bytes_written =3D out.size() - zs.avail_out;

} while (zs.avail_out =3D=3D v">0);
assert(zs.avail_in =3D=3D 0); =3D"co">// All input will be used

out.resize(bytes_written); // Reduce size
if(TRACE_RESIZES) {
cout << " Finish " <&=
lt; out.size() << '\=
n
';
}
}

////////////////////////////////////////////////////////=
////////


// Here's the customizations for deflating (compress=
ion).


class Deflater : public=
Flater {
public:
Deflater();
~Deflater();
int flate();
};

Deflater::Deflater()
{
int r =3D deflateInit(&zs, LEVEL);
assert(Z_OK =3D=3D r);
}

int Deflater::flate()
{
return deflate(&zs, Z_FINISH);
}

Deflater::~Deflater()
{
deflateEnd(&zs);
}

////////////////////////////////////////////////////////=
////////


// Here's the customizations for inflating (decompre=
ssion).


class Inflater : public=
Flater {
public:
Inflater();
~Inflater();
int flate();
};


Inflater::Inflater()
{
int r =3D inflateInit(&zs);
assert(Z_OK =3D=3D r);
}

int Inflater::flate()
{
return inflate(&zs, Z_FINISH);
}

Inflater::~Inflater()
{
inflateEnd(&zs);
}

////////////////////////////////////////////////////////=
////////


// For testing purposes, fill buffer with a mixture of l=
owercase letters and

// random bytes. If the data is completely uniform-rando=
m in the range 0-255,

// then we wouldn't be able to compress. Having a si=
gnificant portion of

// lower-case letters (maybe) makes it more compressible=
.

void generate_data(vector<u=
int8_t
>& buffer)
{
assert(buffer.size() > 0);
const unsigned RAND=
OM_RATIO =3D 10;
srand(time(0));
for(unsigned i =3D =
0; i < buffer.size(); i++) {
buffer[i] =3D
(rand()%RANDOM_RATIO =3D=3D 0) ?
rand() :
'a' + (rand()%dv">26);
}
}


// Print sizes, and first several bytes in hex and ASCII=
, similar to a hex

// dump.
void output_sample(const> vector<uint8_t>& buffer)
{
cout << " "
<< buffer.size() << " bytes (~=
"

<< buffer.size()/KIBI << "K, ~=
"

<< buffer.size()/KIBI/KIBI << "=
;M)
\n";

const unsigned SEVE=
RAL =3D min(16, (int)bu=
ffer.size());
cout.fill('0');
cout << hex << " ";
for(unsigned i =3D =
0; i < SEVERAL; i++) {
cout << setw(2) << (ss=3D"dt">int)buffer[i] << ' 'n>;
}
for(unsigned i =3D =
0; i < SEVERAL; i++) {
cout << (char)(isprint(buffer[i])? =
buffer[i] : '.');
}
cout << dec << '=3D"ch">\n';
}

////////////////////////////////////////////////////////=
////////


int main()
{
const float INPUT_S=
IZE_MB =3D 25.7;
const unsigned INPU=
T_SIZE_BYTES =3D INPUT_SIZE_MB * KIBI * KIBI;

cout << "Generating some data...pan class=3D"ch">\n
";
vector<uint8_t> original(INPUT_SIZE_BYT=
ES);
generate_data(original);
output_sample(original);

cout << "Compressing...=3D"ch">\n";
vector<uint8_t> compressed;
Deflater().run(original, compressed);
output_sample(compressed);

double ratio =3D (doublespan>)compressed.size() / original.size();
cout << "Compression ratio: "=
<< fixed << setprecision(3) <<=
ratio << '\n=
';

vector<uint8_t> copy;
cout << "Decompressing...ss=3D"ch">\n";
Inflater().run(compressed, copy);
output_sample(copy);

assert(copy.size() =3D=3D INPUT_SIZE_BYTES);
assert(copy =3D=3D original);
cout << "Exact match!=3D"ch">\n";

return 0;
}




--==-=-=--

--=-=-=
Content-Type: text/x-c++src
Content-Disposition: attachment; filename=zdemo.cpp

// zdemo
// % make zdemo CXXFLAGS="-g -Wall" LDFLAGS=-lz
#include
#include
#include
#include
#include
#include "zlib.h"
using namespace std;

// This many bytes per kilobyte (kibibyte)
const unsigned KIBI = 1024;

// Since the deflating and inflating procedures have a lot in common, this is
// an attempt to capture the commonality. Yes I wrote a class, try not to
// faint.
class Flater {
public:
const int LEVEL = Z_DEFAULT_COMPRESSION;
const bool TRACE_RESIZES = true;
const unsigned MINIMAL_CHUNK = 16 * KIBI; // Start point for output size
Flater();
virtual ~Flater() { };
void run(vector& in, vector& out);
protected:
virtual int flate() = 0;
z_stream zs;
};

Flater::Flater()
{
zs.zalloc = Z_NULL;
zs.zfree = Z_NULL;
zs.opaque = Z_NULL;
}

// Here's the generic algorithm. The input buffer is fully available. The
// output buffer doubles its size as needed. It can start out empty, and we'll
// allocate MINIMAL_CHUNK bytes up front.
void Flater::run(vector& in, vector& out)
{
zs.avail_in = in.size(); // #bytes available to be read
zs.next_in = in.data(); // ptr to bytes available to be read

unsigned int bytes_written = 0;
do {
out.resize(max(MINIMAL_CHUNK, 2*(unsigned)out.size()));
if(TRACE_RESIZES) {
cout << " Resize " << out.size() << '\n';
}

zs.avail_out = out.size() - bytes_written;
zs.next_out = out.data() + bytes_written;

int r = flate();
assert(Z_STREAM_ERROR != r);

bytes_written = out.size() - zs.avail_out;

} while (zs.avail_out == 0);
assert(zs.avail_in == 0); // All input will be used

out.resize(bytes_written); // Reduce size
if(TRACE_RESIZES) {
cout << " Finish " << out.size() << '\n';
}
}

////////////////////////////////////////////////////////////////

// Here's the customizations for deflating (compression).

class Deflater : public Flater {
public:
Deflater();
~Deflater();
int flate();
};

Deflater::Deflater()
{
int r = deflateInit(&zs, LEVEL);
assert(Z_OK == r);
}

int Deflater::flate()
{
return deflate(&zs, Z_FINISH);
}

Deflater::~Deflater()
{
deflateEnd(&zs);
}

////////////////////////////////////////////////////////////////

// Here's the customizations for inflating (decompression).

class Inflater : public Flater {
public:
Inflater();
~Inflater();
int flate();
};


Inflater::Inflater()
{
int r = inflateInit(&zs);
assert(Z_OK == r);
}

int Inflater::flate()
{
return inflate(&zs, Z_FINISH);
}

Inflater::~Inflater()
{
inflateEnd(&zs);
}

////////////////////////////////////////////////////////////////

// For testing purposes, fill buffer with a mixture of lowercase letters and
// random bytes. If the data is completely uniform-random in the range 0-255,
// then we wouldn't be able to compress. Having a significant portion of
// lower-case letters (maybe) makes it more compressible.
void generate_data(vector& buffer)
{
assert(buffer.size() > 0);
const unsigned RANDOM_RATIO = 10;
srand(time(0));
for(unsigned i = 0; i < buffer.size(); i++) {
buffer[i] =
(rand()%RANDOM_RATIO == 0) ?
rand() :
'a' + (rand()%26);
}
}


// Print sizes, and first several bytes in hex and ASCII, similar to a hex
// dump.
void output_sample(const vector& buffer)
{
cout << " "
<< buffer.size() << " bytes (~"
<< buffer.size()/KIBI << "K, ~"
<< buffer.size()/KIBI/KIBI << "M)\n";

const unsigned SEVERAL = min(16, (int)buffer.size());
cout.fill('0');
cout << hex << " ";
for(unsigned i = 0; i < SEVERAL; i++) {
cout << setw(2) << (int)buffer[i] << ' ';
}
for(unsigned i = 0; i < SEVERAL; i++) {
cout << (char)(isprint(buffer[i])? buffer[i] : '.');
}
cout << dec << '\n';
}

////////////////////////////////////////////////////////////////

int main()
{
const float INPUT_SIZE_MB = 25.7;
const unsigned INPUT_SIZE_BYTES = INPUT_SIZE_MB * KIBI * KIBI;

cout << "Generating some data...\n";
vector original(INPUT_SIZE_BYTES);
generate_data(original);
output_sample(original);

cout << "Compressing...\n";
vector compressed;
Deflater().run(original, compressed);
output_sample(compressed);

double ratio = (double)compressed.size() / original.size();
cout << "Compression ratio: " << fixed << setprecision(3) << ratio << '\n';

vector copy;
cout << "Decompressing...\n";
Inflater().run(compressed, copy);
output_sample(copy);

assert(copy.size() == INPUT_SIZE_BYTES);
assert(copy == original);
cout << "Exact match!\n";

return 0;
}

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  28. 2016-12-10 Ruben Safir <ruben-at-mrbrklyn.com> Re: [Learn] references to pointers
  29. 2016-12-10 Ruben Safir <ruben-at-mrbrklyn.com> Subject: [Learn] C++ returning lvalue references and pointers and refs
  30. 2016-12-10 Ruben Safir <ruben-at-mrbrklyn.com> Subject: [Learn] const puzzle and literal type arguments
  31. 2016-12-11 ruben safir <ruben-at-mrbrklyn.com> Subject: [Learn] Fwd: Re: png data format
  32. 2016-12-12 Ruben Safir <ruben-at-mrbrklyn.com> Re: [Learn] Fwd: Re: png data format
  33. 2016-12-12 Ruben Safir <ruben-at-mrbrklyn.com> Subject: [Learn] gene phylogienics of homonids
  34. 2016-12-13 Ruben Safir <ruben-at-mrbrklyn.com> Subject: [Learn] Bit Depth
  35. 2016-12-13 Ruben Safir <ruben-at-mrbrklyn.com> Subject: [Learn] C++ Threads Workshop
  36. 2016-12-13 Ruben Safir <ruben-at-mrbrklyn.com> Subject: [Learn] Summer Jobs
  37. 2016-12-14 From: "Mancini, Sabin (DFS)" <Sabin.Mancini-at-dfs.ny.gov> Subject: [Learn] For Ruben ( + those in NYC Metro ) : Holiday Social Event
  38. 2016-12-14 Ruben Safir <ruben-at-mrbrklyn.com> Subject: [Learn] Fwd: Re: [dinosaur] Ceratopsid (Centrosaurinae:
  39. 2016-12-15 Ruben Safir <ruben.safir-at-my.liu.edu> Re: [Learn] Happy Holidays
  40. 2016-12-15 Ruben Safir <ruben-at-mrbrklyn.com> Re: [Learn] zlib demo with vector::resize
  41. 2016-12-15 John Bowler <john.cunningham.bowler-at-gmail.com> Re: [Learn] [png-mng-implement] 4 byte length storage
  42. 2016-12-15 Ruben Safir <ruben-at-mrbrklyn.com> Subject: [Learn] Fwd: [dinosaur] Elephant bird nuclear genome fragments
  43. 2016-12-15 Christopher League <league-at-contrapunctus.net> Subject: [Learn] zlib demo with vector::resize
  44. 2016-12-16 Ruben Safir <ruben-at-mrbrklyn.com> Re: [Learn] zlib demo with vector::resize
  45. 2016-12-16 Christopher League <league-at-contrapunctus.net> Re: [Learn] zlib demo with vector::resize
  46. 2016-12-16 Ruben Safir <ruben-at-mrbrklyn.com> Subject: [Learn] PNG Parallel Programming problem
  47. 2016-12-17 Ruben Safir <ruben-at-mrbrklyn.com> Re: [Learn] [Hangout-NYLXS] I'm sure it's a coincidence, part n+1
  48. 2016-12-17 Ruben Safir <mrbrklyn-at-panix.com> Subject: [Learn] irc thread on the use of object methods in threads
  49. 2016-12-17 Ruben Safir <ruben-at-mrbrklyn.com> Subject: [Learn] PNG threaded program
  50. 2016-12-18 ruben safir <ruben-at-mrbrklyn.com> Re: [Learn] Threads and Object Methods
  51. 2016-12-18 ruben safir <ruben-at-mrbrklyn.com> Re: [Learn] Threads and Object Methods
  52. 2016-12-18 Ruben Safir <ruben-at-mrbrklyn.com> Subject: [Learn] Look C++ is a functional programming language
  53. 2016-12-19 Ruben Safir <ruben-at-mrbrklyn.com> Re: [Learn] C++ Threading
  54. 2016-12-19 Ruben Safir <ruben-at-mrbrklyn.com> Subject: [Learn] C++ Threading
  55. 2016-12-19 ISOC-NY announcements <announce-at-lists.isoc-ny.org> Subject: [Learn] [isoc-ny] JOB: Telecommunications Policy Specialist -at- NTIA
  56. 2016-12-20 Ruben Safir <ruben-at-mrbrklyn.com> Subject: [Learn] F'ing Mouse Pad
  57. 2016-12-20 mrbrklyn <mrbrklyn-at-panix.com> Subject: [Learn] Phylogenetic study worth noting
  58. 2016-12-21 Samir Iabbassen <Samir.Iabbassen-at-liu.edu> Re: [Learn] Noobdy is home
  59. 2016-12-21 Ruben Safir <mrbrklyn-at-panix.com> Re: [Learn] Noobdy is home
  60. 2016-12-21 Ruben Safir <ruben-at-mrbrklyn.com> Re: [Learn] Noobdy is home
  61. 2016-12-21 Samir Iabbassen <Samir.Iabbassen-at-liu.edu> Re: [Learn] thread concurancy
  62. 2016-12-21 Ruben Safir <mrbrklyn-at-panix.com> Re: [Learn] thread concurancy
  63. 2016-12-21 Ruben Safir <mrbrklyn-at-panix.com> Subject: [Learn] (fwd) Re: lamda's in classes
  64. 2016-12-21 Ruben Safir <mrbrklyn-at-panix.com> Subject: [Learn] (fwd) Re: lamda's in classes
  65. 2016-12-21 Ruben Safir <mrbrklyn-at-panix.com> Subject: [Learn] (fwd) Re: thread concurancy
  66. 2016-12-21 Ruben Safir <mrbrklyn-at-panix.com> Subject: [Learn] (fwd) Re: Threads and Object Methods
  67. 2016-12-21 Ruben Safir <mrbrklyn-at-panix.com> Subject: [Learn] (fwd) Re: Threads and Object Methods
  68. 2016-12-21 Ruben Safir <mrbrklyn-at-panix.com> Subject: [Learn] (fwd) Re: Threads and Object Methods
  69. 2016-12-21 Ruben Safir <mrbrklyn-at-panix.com> Subject: [Learn] (fwd) Re: Threads and Object Methods
  70. 2016-12-21 Ruben Safir <mrbrklyn-at-panix.com> Subject: [Learn] (fwd) Re: Threads and Object Methods
  71. 2016-12-21 Ruben Safir <mrbrklyn-at-panix.com> Subject: [Learn] (fwd) Re: Threads and Object Methods
  72. 2016-12-21 Ruben Safir <mrbrklyn-at-panix.com> Subject: [Learn] (fwd) Re: Threads and Object Methods
  73. 2016-12-21 Ruben Safir <mrbrklyn-at-panix.com> Subject: [Learn] (fwd) Re: Threads and Object Methods
  74. 2016-12-21 Ruben Safir <mrbrklyn-at-panix.com> Subject: [Learn] (fwd) Re: Threads and Object Methods
  75. 2016-12-21 Ruben Safir <mrbrklyn-at-panix.com> Subject: [Learn] (fwd) thread concurancy
  76. 2016-12-21 Ruben Safir <mrbrklyn-at-panix.com> Subject: [Learn] (fwd) Threads and Object Methods
  77. 2016-12-21 Ruben Safir <ruben-at-mrbrklyn.com> Subject: [Learn] I need help
  78. 2016-12-21 Ruben Safir <ruben-at-mrbrklyn.com> Subject: [Learn] Noobdy is home
  79. 2016-12-21 Ruben Safir <ruben-at-mrbrklyn.com> Subject: [Learn] thread concurancy
  80. 2016-12-21 Ruben Safir <ruben-at-mrbrklyn.com> Subject: [Learn] [Hangout-NYLXS] Marnchester by the Sea
  81. 2016-12-22 Ruben Safir <mrbrklyn-at-panix.com> Re: [Learn] [Hangout-NYLXS] And be aware you were an unexcused
  82. 2016-12-22 ruben safir <ruben-at-mrbrklyn.com> Subject: [Learn] Fwd: Re: thread concurancy
  83. 2016-12-23 Ruben Safir <ruben-at-mrbrklyn.com> Re: [Learn] HOPL (History of Programming Languages)
  84. 2016-12-23 Ruben Safir <ruben-at-mrbrklyn.com> Re: [Learn] Noobdy is home
  85. 2016-12-23 Ruben Safir <ruben-at-mrbrklyn.com> Re: [Learn] Tiny Compiler in many languages at Rosettacode.org
  86. 2016-12-25 Ruben Safir <ruben-at-mrbrklyn.com> Subject: [Learn] Google and C++
  87. 2016-12-25 Ruben Safir <ruben.safir-at-my.liu.edu> Subject: [Learn] phylogentics
  88. 2016-12-27 Samir Iabbassen <Samir.Iabbassen-at-liu.edu> Re: [Learn] thread concurancy

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