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nanopond.c
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nanopond.c
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/* *********************************************************************** */
/* */
/* Nanopond version 2.0 -- A teeny tiny artificial life virtual machine */
/* Copyright (C) Adam Ierymenko */
/* MIT license -- see LICENSE.txt */
/* */
/* *********************************************************************** */
/*
* Changelog:
*
* 1.0 - Initial release
* 1.1 - Made empty cells get initialized with 0xffff... instead of zeros
* when the simulation starts. This makes things more consistent with
* the way the output buf is treated for self-replication, though
* the initial state rapidly becomes irrelevant as the simulation
* gets going. Also made one or two very minor performance fixes.
* 1.2 - Added statistics for execution frequency and metabolism, and made
* the visualization use 16bpp color.
* 1.3 - Added a few other statistics.
* 1.4 - Replaced SET with KILL and changed EAT to SHARE. The SHARE idea
* was contributed by Christoph Groth (http://www.falma.de/). KILL
* is a variation on the original EAT that is easier for cells to
* make use of.
* 1.5 - Made some other instruction changes such as XCHG and added a
* penalty for failed KILL attempts. Also made access permissions
* stochastic.
* 1.6 - Made cells all start facing in direction 0. This removes a bit
* of artificiality and requires cells to evolve the ability to
* turn in various directions in order to reproduce in anything but
* a straight line. It also makes pretty graphics.
* 1.7 - Added more statistics, such as original lineage, and made the
* genome dump files CSV files as well.
* 1.8 - Fixed LOOP/REP bug reported by user Sotek. Thanks! Also
* reduced the default mutation rate a bit.
* 1.9 - Added a bunch of changes suggested by Christoph Groth: a better
* coloring algorithm, right click to switch coloring schemes (two
* are currently supported), and a few speed optimizations. Also
* changed visualization so that cells with generations less than 2
* are no longer shown.
* 2.0 - Ported to SDL2 by Charles Huber, and added simple pthread based
* threading to make it take advantage of modern machines.
*/
/*
* Nanopond is just what it says: a very very small and simple artificial
* life virtual machine.
*
* It is a "small evolving program" based artificial life system of the same
* general class as Tierra, Avida, and Archis. It is written in very tight
* and efficient C code to make it as fast as possible, and is so small that
* it consists of only one .c file.
*
* How Nanopond works:
*
* The Nanopond world is called a "pond." It is an NxN two dimensional
* array of Cell structures, and it wraps at the edges (it's toroidal).
* Each Cell structure consists of a few attributes that are there for
* statistics purposes, an energy level, and an array of POND_DEPTH
* four-bit values. (The four-bit values are actually stored in an array
* of machine-size words.) The array in each cell contains the genome
* associated with that cell, and POND_DEPTH is therefore the maximum
* allowable size for a cell genome.
*
* The first four bit value in the genome is called the "logo." What that is
* for will be explained later. The remaining four bit values each code for
* one of 16 instructions. Instruction zero (0x0) is NOP (no operation) and
* instruction 15 (0xf) is STOP (stop cell execution). Read the code to see
* what the others are. The instructions are exceptionless and lack fragile
* operands. This means that *any* arbitrary sequence of instructions will
* always run and will always do *something*. This is called an evolvable
* instruction set, because programs coded in an instruction set with these
* basic characteristics can mutate. The instruction set is also
* Turing-complete, which means that it can theoretically do anything any
* computer can do. If you're curious, the instruciton set is based on this:
* http://www.muppetlabs.com/~breadbox/bf/
*
* At the center of Nanopond is a core loop. Each time this loop executes,
* a clock counter is incremented and one or more things happen:
*
* - Every REPORT_FREQUENCY clock ticks a line of comma seperated output
* is printed to STDOUT with some statistics about what's going on.
* - Every INFLOW_FREQUENCY clock ticks a random x,y location is picked,
* energy is added (see INFLOW_RATE_MEAN and INFLOW_RATE_DEVIATION)
* and it's genome is filled with completely random bits. Statistics
* are also reset to generation==0 and parentID==0 and a new cell ID
* is assigned.
* - Every tick a random x,y location is picked and the genome inside is
* executed until a STOP instruction is encountered or the cell's
* energy counter reaches zero. (Each instruction costs one unit energy.)
*
* The cell virtual machine is an extremely simple register machine with
* a single four bit register, one memory pointer, one spare memory pointer
* that can be exchanged with the main one, and an output buffer. When
* cell execution starts, this output buffer is filled with all binary 1's
* (0xffff....). When cell execution is finished, if the first byte of
* this buffer is *not* 0xff, then the VM says "hey, it must have some
* data!". This data is a candidate offspring; to reproduce cells must
* copy their genome data into the output buffer.
*
* When the VM sees data in the output buffer, it looks at the cell
* adjacent to the cell that just executed and checks whether or not
* the cell has permission (see below) to modify it. If so, then the
* contents of the output buffer replace the genome data in the
* adjacent cell. Statistics are also updated: parentID is set to the
* ID of the cell that generated the output and generation is set to
* one plus the generation of the parent.
*
* A cell is permitted to access a neighboring cell if:
* - That cell's energy is zero
* - That cell's parentID is zero
* - That cell's logo (remember?) matches the trying cell's "guess"
*
* Since randomly introduced cells have a parentID of zero, this allows
* real living cells to always replace them or eat them.
*
* The "guess" is merely the value of the register at the time that the
* access attempt occurs.
*
* Permissions determine whether or not an offspring can take the place
* of the contents of a cell and also whether or not the cell is allowed
* to EAT (an instruction) the energy in it's neighbor.
*
* If you haven't realized it yet, this is why the final permission
* criteria is comparison against what is called a "guess." In conjunction
* with the ability to "eat" neighbors' energy, guess what this permits?
*
* Since this is an evolving system, there have to be mutations. The
* MUTATION_RATE sets their probability. Mutations are random variations
* with a frequency defined by the mutation rate to the state of the
* virtual machine while cell genomes are executing. Since cells have
* to actually make copies of themselves to replicate, this means that
* these copies can vary if mutations have occurred to the state of the
* VM while copying was in progress.
*
* What results from this simple set of rules is an evolutionary game of
* "corewar." In the beginning, the process of randomly generating cells
* will cause self-replicating viable cells to spontaneously emerge. This
* is something I call "random genesis," and happens when some of the
* random gak turns out to be a program able to copy itself. After this,
* evolution by natural selection takes over. Since natural selection is
* most certainly *not* random, things will start to get more and more
* ordered and complex (in the functional sense). There are two commodities
* that are scarce in the pond: space in the NxN grid and energy. Evolving
* cells compete for access to both.
*
* If you want more implementation details such as the actual instruction
* set, read the source. It's well commented and is not that hard to
* read. Most of it's complexity comes from the fact that four-bit values
* are packed into machine size words by bit shifting. Once you get that,
* the rest is pretty simple.
*
* Nanopond, for it's simplicity, manifests some really interesting
* evolutionary dynamics. While I haven't run the kind of multiple-
* month-long experiment necessary to really see this (I might!), it
* would appear that evolution in the pond doesn't get "stuck" on just
* one or a few forms the way some other simulators are apt to do.
* I think simplicity is partly reponsible for this along with what
* biologists call embeddedness, which means that the cells are a part
* of their own world.
*
* Run it for a while... the results can be... interesting!
*
* Running Nanopond:
*
* Nanopond can use SDL (Simple Directmedia Layer) for screen output. If
* you don't have SDL, comment out USE_SDL below and you'll just see text
* statistics and get genome data dumps. (Turning off SDL will also speed
* things up slightly.)
*
* After looking over the tunable parameters below, compile Nanopond and
* run it. Here are some example compilation commands from Linux:
*
* For Pentiums:
* gcc -O6 -march=pentium -funroll-loops -fomit-frame-pointer -s
* -o nanopond nanopond.c -lSDL
*
* For Athlons with gcc 4.0+:
* gcc -O6 -msse -mmmx -march=athlon -mtune=athlon -ftree-vectorize
* -funroll-loops -fomit-frame-pointer -o nanopond nanopond.c -lSDL
*
* The second line is for gcc 4.0 or newer and makes use of GCC's new
* tree vectorizing feature. This will speed things up a bit by
* compiling a few of the loops into MMX/SSE instructions.
*
* This should also work on other Posix-compliant OSes with relatively
* new C compilers. (Really old C compilers will probably not work.)
* On other platforms, you're on your own! On Windows, you will probably
* need to find and download SDL if you want pretty graphics and you
* will need a compiler. MinGW and Borland's BCC32 are both free. I
* would actually expect those to work better than Microsoft's compilers,
* since MS tends to ignore C/C++ standards. If stdint.h isn't around,
* you can fudge it like this:
*
* #define uintptr_t unsigned long (or whatever your machine size word is)
* #define uint8_t unsigned char
* #define uint16_t unsigned short
* #define uint64_t unsigned long long (or whatever is your 64-bit int)
*
* When Nanopond runs, comma-seperated stats (see doReport() for
* the columns) are output to stdout and various messages are output
* to stderr. For example, you might do:
*
* ./nanopond >>stats.csv 2>messages.txt &
*
* To get both in seperate files.
*
* Have fun!
*/
/* ----------------------------------------------------------------------- */
/* Tunable parameters */
/* ----------------------------------------------------------------------- */
/* Frequency of comprehensive reports-- lower values will provide more
* info while slowing down the simulation. Higher values will give less
* frequent updates. */
/* This is also the frequency of screen refreshes if SDL is enabled. */
#define REPORT_FREQUENCY 200000
/* Mutation rate -- range is from 0 (none) to 0xffffffff (all mutations!) */
/* To get it from a float probability from 0.0 to 1.0, multiply it by
* 4294967295 (0xffffffff) and round. */
#define MUTATION_RATE 5000
/* How frequently should random cells / energy be introduced?
* Making this too high makes things very chaotic. Making it too low
* might not introduce enough energy. */
#define INFLOW_FREQUENCY 100
/* Base amount of energy to introduce per INFLOW_FREQUENCY ticks */
#define INFLOW_RATE_BASE 600
/* A random amount of energy between 0 and this is added to
* INFLOW_RATE_BASE when energy is introduced. Comment this out for
* no variation in inflow rate. */
#define INFLOW_RATE_VARIATION 1000
/* Size of pond in X and Y dimensions. */
#define POND_SIZE_X 800
#define POND_SIZE_Y 600
/* Depth of pond in four-bit codons -- this is the maximum
* genome size. This *must* be a multiple of 16! */
#define POND_DEPTH 1024
/* This is the divisor that determines how much energy is taken
* from cells when they try to KILL a viable cell neighbor and
* fail. Higher numbers mean lower penalties. */
#define FAILED_KILL_PENALTY 3
/* Define this to use SDL. To use SDL, you must have SDL headers
* available and you must link with the SDL library when you compile. */
/* Comment this out to compile without SDL visualization support. */
// #define USE_SDL 1
/* Define this to use threads, and how many threads to create */
// #define USE_PTHREADS_COUNT 4
/* ----------------------------------------------------------------------- */
#include <stdint.h>
#include <stdio.h>
#include <stdlib.h>
#include <string.h>
#include <time.h>
#ifdef USE_PTHREADS_COUNT
#include <pthread.h>
#endif
#ifdef USE_SDL
#ifdef _MSC_VER
#include <SDL.h>
#else
#include <SDL2/SDL.h>
#endif /* _MSC_VER */
#endif /* USE_SDL */
volatile uint64_t prngState[2];
static inline uintptr_t getRandom()
{
// https://en.wikipedia.org/wiki/Xorshift#xorshift.2B
uint64_t x = prngState[0];
const uint64_t y = prngState[1];
prngState[0] = y;
x ^= x << 23;
const uint64_t z = x ^ y ^ (x >> 17) ^ (y >> 26);
prngState[1] = z;
return (uintptr_t)(z + y);
}
/* Pond depth in machine-size words. This is calculated from
* POND_DEPTH and the size of the machine word. (The multiplication
* by two is due to the fact that there are two four-bit values in
* each eight-bit byte.) */
#define POND_DEPTH_SYSWORDS (POND_DEPTH / (sizeof(uintptr_t) * 2))
/* Number of bits in a machine-size word */
#define SYSWORD_BITS (sizeof(uintptr_t) * 8)
/* Constants representing neighbors in the 2D grid. */
#define N_LEFT 0
#define N_RIGHT 1
#define N_UP 2
#define N_DOWN 3
/* Word and bit at which to start execution */
/* This is after the "logo" */
#define EXEC_START_WORD 0
#define EXEC_START_BIT 4
/* Number of bits set in binary numbers 0000 through 1111 */
static const uintptr_t BITS_IN_FOURBIT_WORD[16] = { 0,1,1,2,1,2,2,3,1,2,2,3,2,3,3,4 };
/**
* Structure for a cell in the pond
*/
struct Cell
{
/* Globally unique cell ID */
uint64_t ID;
/* ID of the cell's parent */
uint64_t parentID;
/* Counter for original lineages -- equal to the cell ID of
* the first cell in the line. */
uint64_t lineage;
/* Generations start at 0 and are incremented from there. */
uintptr_t generation;
/* Energy level of this cell */
uintptr_t energy;
/* Memory space for cell genome (genome is stored as four
* bit instructions packed into machine size words) */
uintptr_t genome[POND_DEPTH_SYSWORDS];
#ifdef USE_PTHREADS_COUNT
pthread_mutex_t lock;
#endif
};
/* The pond is a 2D array of cells */
static struct Cell pond[POND_SIZE_X][POND_SIZE_Y];
/* This is used to generate unique cell IDs */
static volatile uint64_t cellIdCounter = 0;
/* Currently selected color scheme */
#ifdef USE_SDL
static SDL_Window *window;
enum { KINSHIP,LINEAGE,MAX_COLOR_SCHEME } colorScheme = KINSHIP;
static const char *colorSchemeName[2] = { "KINSHIP", "LINEAGE" };
static SDL_Surface *winsurf;
static SDL_Surface *screen;
#endif
volatile struct {
/* Counts for the number of times each instruction was
* executed since the last report. */
double instructionExecutions[16];
/* Number of cells executed since last report */
double cellExecutions;
/* Number of viable cells replaced by other cells' offspring */
uintptr_t viableCellsReplaced;
/* Number of viable cells KILLed */
uintptr_t viableCellsKilled;
/* Number of successful SHARE operations */
uintptr_t viableCellShares;
} statCounters;
static void doReport(const uint64_t clock)
{
static uint64_t lastTotalViableReplicators = 0;
uintptr_t x,y;
uint64_t totalActiveCells = 0;
uint64_t totalEnergy = 0;
uint64_t totalViableReplicators = 0;
uintptr_t maxGeneration = 0;
for(x=0;x<POND_SIZE_X;++x) {
for(y=0;y<POND_SIZE_Y;++y) {
struct Cell *const c = &pond[x][y];
if (c->energy) {
++totalActiveCells;
totalEnergy += (uint64_t)c->energy;
if (c->generation > 2)
++totalViableReplicators;
if (c->generation > maxGeneration)
maxGeneration = c->generation;
}
}
}
/* Look here to get the columns in the CSV output */
/* The first five are here and are self-explanatory */
printf("%lu,%lu,%lu,%lu,%lu,%lu,%lu,%lu",
(uint64_t)clock,
(uint64_t)totalEnergy,
(uint64_t)totalActiveCells,
(uint64_t)totalViableReplicators,
(uint64_t)maxGeneration,
(uint64_t)statCounters.viableCellsReplaced,
(uint64_t)statCounters.viableCellsKilled,
(uint64_t)statCounters.viableCellShares
);
/* The next 16 are the average frequencies of execution for each
* instruction per cell execution. */
double totalMetabolism = 0.0;
for(x=0;x<16;++x) {
totalMetabolism += statCounters.instructionExecutions[x];
printf(",%.4f",(statCounters.cellExecutions > 0.0) ? (statCounters.instructionExecutions[x] / statCounters.cellExecutions) : 0.0);
}
/* The last column is the average metabolism per cell execution */
printf(",%.4f\n",(statCounters.cellExecutions > 0.0) ? (totalMetabolism / statCounters.cellExecutions) : 0.0);
fflush(stdout);
if ((lastTotalViableReplicators > 0)&&(totalViableReplicators == 0))
fprintf(stderr,"[EVENT] Viable replicators have gone extinct. Please reserve a moment of silence.\n");
else if ((lastTotalViableReplicators == 0)&&(totalViableReplicators > 0))
fprintf(stderr,"[EVENT] Viable replicators have appeared!\n");
lastTotalViableReplicators = totalViableReplicators;
/* Reset per-report stat counters */
for(x=0;x<sizeof(statCounters);++x)
((uint8_t *)&statCounters)[x] = (uint8_t)0;
}
/**
* Dumps the genome of a cell to a file.
*
* @param file Destination
* @param cell Source
*/
#ifdef USE_SDL
static void dumpCell(FILE *file, struct Cell *cell)
{
uintptr_t wordPtr,shiftPtr,inst,stopCount,i;
if (cell->energy&&(cell->generation > 2)) {
wordPtr = 0;
shiftPtr = 0;
stopCount = 0;
for(i=0;i<POND_DEPTH;++i) {
inst = (cell->genome[wordPtr] >> shiftPtr) & 0xf;
/* Four STOP instructions in a row is considered the end.
* The probability of this being wrong is *very* small, and
* could only occur if you had four STOPs in a row inside
* a LOOP/REP pair that's always false. In any case, this
* would always result in our *underestimating* the size of
* the genome and would never result in an overestimation. */
fprintf(file,"%x",(unsigned int)inst);
if (inst == 0xf) { /* STOP */
if (++stopCount >= 4)
break;
} else stopCount = 0;
if ((shiftPtr += 4) >= SYSWORD_BITS) {
if (++wordPtr >= POND_DEPTH_SYSWORDS) {
wordPtr = EXEC_START_WORD;
shiftPtr = EXEC_START_BIT;
} else shiftPtr = 0;
}
}
}
fprintf(file,"\n");
}
#endif
static inline struct Cell *getNeighbor(const uintptr_t x,const uintptr_t y,const uintptr_t dir)
{
/* Space is toroidal; it wraps at edges */
switch(dir) {
case N_LEFT:
return (x) ? &pond[x-1][y] : &pond[POND_SIZE_X-1][y];
case N_RIGHT:
return (x < (POND_SIZE_X-1)) ? &pond[x+1][y] : &pond[0][y];
case N_UP:
return (y) ? &pond[x][y-1] : &pond[x][POND_SIZE_Y-1];
case N_DOWN:
return (y < (POND_SIZE_Y-1)) ? &pond[x][y+1] : &pond[x][0];
}
return &pond[x][y]; /* This should never be reached */
}
static inline int accessAllowed(struct Cell *const c2,const uintptr_t c1guess,int sense)
{
/* Access permission is more probable if they are more similar in sense 0,
* and more probable if they are different in sense 1. Sense 0 is used for
* "negative" interactions and sense 1 for "positive" ones. */
return sense ? (((getRandom() & 0xf) >= BITS_IN_FOURBIT_WORD[(c2->genome[0] & 0xf) ^ (c1guess & 0xf)])||(!c2->parentID)) : (((getRandom() & 0xf) <= BITS_IN_FOURBIT_WORD[(c2->genome[0] & 0xf) ^ (c1guess & 0xf)])||(!c2->parentID));
}
#ifdef USE_SDL
static inline uint8_t getColor(struct Cell *c)
{
uintptr_t i,j,word,sum,opcode,skipnext;
if (c->energy) {
switch(colorScheme) {
case KINSHIP:
/*
* Kinship color scheme by Christoph Groth
*
* For cells of generation > 1, saturation and value are set to maximum.
* Hue is a hash-value with the property that related genomes will have
* similar hue (but of course, as this is a hash function, totally
* different genomes can also have a similar or even the same hue).
* Therefore the difference in hue should to some extent reflect the grade
* of "kinship" of two cells.
*/
if (c->generation > 1) {
sum = 0;
skipnext = 0;
for(i=0;i<POND_DEPTH_SYSWORDS&&(c->genome[i] != ~((uintptr_t)0));++i) {
word = c->genome[i];
for(j=0;j<SYSWORD_BITS/4;++j,word >>= 4) {
/* We ignore 0xf's here, because otherwise very similar genomes
* might get quite different hash values in the case when one of
* the genomes is slightly longer and uses one more maschine
* word. */
opcode = word & 0xf;
if (skipnext)
skipnext = 0;
else {
if (opcode != 0xf)
sum += opcode;
if (opcode == 0xc) /* 0xc == XCHG */
skipnext = 1; /* Skip "operand" after XCHG */
}
}
}
/* For the hash-value use a wrapped around sum of the sum of all
* commands and the length of the genome. */
return (uint8_t)((sum % 192) + 64);
}
return 0;
case LINEAGE:
/*
* Cells with generation > 1 are color-coded by lineage.
*/
return (c->generation > 1) ? (((uint8_t)c->lineage) | (uint8_t)1) : 0;
case MAX_COLOR_SCHEME:
/* ... never used... to make compiler shut up. */
break;
}
}
return 0; /* Cells with no energy are black */
}
#endif
volatile int exitNow = 0;
static void *run(void *targ)
{
const uintptr_t threadNo = (uintptr_t)targ;
uintptr_t x,y,i;
uintptr_t clock = 0;
/* Buffer used for execution output of candidate offspring */
uintptr_t outputBuf[POND_DEPTH_SYSWORDS];
/* Miscellaneous variables used in the loop */
uintptr_t currentWord,wordPtr,shiftPtr,inst,tmp;
struct Cell *pptr,*tmpptr;
/* Virtual machine memory pointer register (which
* exists in two parts... read the code below...) */
uintptr_t ptr_wordPtr;
uintptr_t ptr_shiftPtr;
/* The main "register" */
uintptr_t reg;
/* Which way is the cell facing? */
uintptr_t facing;
/* Virtual machine loop/rep stack */
uintptr_t loopStack_wordPtr[POND_DEPTH];
uintptr_t loopStack_shiftPtr[POND_DEPTH];
uintptr_t loopStackPtr;
/* If this is nonzero, we're skipping to matching REP */
/* It is incremented to track the depth of a nested set
* of LOOP/REP pairs in false state. */
uintptr_t falseLoopDepth;
#ifdef USE_SDL
SDL_Event sdlEvent;
const uintptr_t sdlPitch = screen->pitch;
#endif
/* If this is nonzero, cell execution stops. This allows us
* to avoid the ugly use of a goto to exit the loop. :) */
int stop;
/* Main loop */
while (!exitNow) {
/* Increment clock and run reports periodically */
/* Clock is incremented at the start, so it starts at 1 */
++clock;
if ((threadNo == 0)&&(!(clock % REPORT_FREQUENCY))) {
doReport(clock);
/* SDL display is also refreshed every REPORT_FREQUENCY */
#ifdef USE_SDL
while (SDL_PollEvent(&sdlEvent)) {
if (sdlEvent.type == SDL_QUIT) {
fprintf(stderr,"[QUIT] Quit signal received!\n");
exitNow = 1;
} else if (sdlEvent.type == SDL_MOUSEBUTTONDOWN) {
switch (sdlEvent.button.button) {
case SDL_BUTTON_LEFT:
fprintf(stderr,"[INTERFACE] Genome of cell at (%d, %d):\n",sdlEvent.button.x, sdlEvent.button.y);
dumpCell(stderr, &pond[sdlEvent.button.x][sdlEvent.button.y]);
break;
case SDL_BUTTON_RIGHT:
colorScheme = (colorScheme + 1) % MAX_COLOR_SCHEME;
fprintf(stderr,"[INTERFACE] Switching to color scheme \"%s\".\n",colorSchemeName[colorScheme]);
for (y=0;y<POND_SIZE_Y;++y) {
for (x=0;x<POND_SIZE_X;++x)
((uint8_t *)screen->pixels)[x + (y * sdlPitch)] = getColor(&pond[x][y]);
}
break;
}
}
}
SDL_BlitSurface(screen, NULL, winsurf, NULL);
SDL_UpdateWindowSurface(window);
#endif /* USE_SDL */
}
/* Introduce a random cell somewhere with a given energy level */
/* This is called seeding, and introduces both energy and
* entropy into the substrate. This happens every INFLOW_FREQUENCY
* clock ticks. */
if (!(clock % INFLOW_FREQUENCY)) {
x = getRandom() % POND_SIZE_X;
y = getRandom() % POND_SIZE_Y;
pptr = &pond[x][y];
#ifdef USE_PTHREADS_COUNT
pthread_mutex_lock(&(pptr->lock));
#endif
pptr->ID = cellIdCounter;
pptr->parentID = 0;
pptr->lineage = cellIdCounter;
pptr->generation = 0;
#ifdef INFLOW_RATE_VARIATION
pptr->energy += INFLOW_RATE_BASE + (getRandom() % INFLOW_RATE_VARIATION);
#else
pptr->energy += INFLOW_RATE_BASE;
#endif /* INFLOW_RATE_VARIATION */
for(i=0;i<POND_DEPTH_SYSWORDS;++i)
pptr->genome[i] = getRandom();
++cellIdCounter;
/* Update the random cell on SDL screen if viz is enabled */
#ifdef USE_SDL
((uint8_t *)screen->pixels)[x + (y * sdlPitch)] = getColor(pptr);
#endif /* USE_SDL */
#ifdef USE_PTHREADS_COUNT
pthread_mutex_unlock(&(pptr->lock));
#endif
}
/* Pick a random cell to execute */
i = getRandom();
x = i % POND_SIZE_X;
y = ((i / POND_SIZE_X) >> 1) % POND_SIZE_Y;
pptr = &pond[x][y];
/* Reset the state of the VM prior to execution */
for(i=0;i<POND_DEPTH_SYSWORDS;++i)
outputBuf[i] = ~((uintptr_t)0); /* ~0 == 0xfffff... */
ptr_wordPtr = 0;
ptr_shiftPtr = 0;
reg = 0;
loopStackPtr = 0;
wordPtr = EXEC_START_WORD;
shiftPtr = EXEC_START_BIT;
facing = 0;
falseLoopDepth = 0;
stop = 0;
/* We use a currentWord buffer to hold the word we're
* currently working on. This speeds things up a bit
* since it eliminates a pointer dereference in the
* inner loop. We have to be careful to refresh this
* whenever it might have changed... take a look at
* the code. :) */
currentWord = pptr->genome[0];
/* Keep track of how many cells have been executed */
statCounters.cellExecutions += 1.0;
/* Core execution loop */
while ((pptr->energy)&&(!stop)) {
/* Get the next instruction */
inst = (currentWord >> shiftPtr) & 0xf;
/* Randomly frob either the instruction or the register with a
* probability defined by MUTATION_RATE. This introduces variation,
* and since the variation is introduced into the state of the VM
* it can have all manner of different effects on the end result of
* replication: insertions, deletions, duplications of entire
* ranges of the genome, etc. */
if ((getRandom() & 0xffffffff) < MUTATION_RATE) {
tmp = getRandom(); /* Call getRandom() only once for speed */
if (tmp & 0x80) /* Check for the 8th bit to get random boolean */
inst = tmp & 0xf; /* Only the first four bits are used here */
else reg = tmp & 0xf;
}
/* Each instruction processed costs one unit of energy */
--pptr->energy;
/* Execute the instruction */
if (falseLoopDepth) {
/* Skip forward to matching REP if we're in a false loop. */
if (inst == 0x9) /* Increment false LOOP depth */
++falseLoopDepth;
else if (inst == 0xa) /* Decrement on REP */
--falseLoopDepth;
} else {
/* If we're not in a false LOOP/REP, execute normally */
/* Keep track of execution frequencies for each instruction */
statCounters.instructionExecutions[inst] += 1.0;
switch(inst) {
case 0x0: /* ZERO: Zero VM state registers */
reg = 0;
ptr_wordPtr = 0;
ptr_shiftPtr = 0;
facing = 0;
break;
case 0x1: /* FWD: Increment the pointer (wrap at end) */
if ((ptr_shiftPtr += 4) >= SYSWORD_BITS) {
if (++ptr_wordPtr >= POND_DEPTH_SYSWORDS)
ptr_wordPtr = 0;
ptr_shiftPtr = 0;
}
break;
case 0x2: /* BACK: Decrement the pointer (wrap at beginning) */
if (ptr_shiftPtr)
ptr_shiftPtr -= 4;
else {
if (ptr_wordPtr)
--ptr_wordPtr;
else ptr_wordPtr = POND_DEPTH_SYSWORDS - 1;
ptr_shiftPtr = SYSWORD_BITS - 4;
}
break;
case 0x3: /* INC: Increment the register */
reg = (reg + 1) & 0xf;
break;
case 0x4: /* DEC: Decrement the register */
reg = (reg - 1) & 0xf;
break;
case 0x5: /* READG: Read into the register from genome */
reg = (pptr->genome[ptr_wordPtr] >> ptr_shiftPtr) & 0xf;
break;
case 0x6: /* WRITEG: Write out from the register to genome */
pptr->genome[ptr_wordPtr] &= ~(((uintptr_t)0xf) << ptr_shiftPtr);
pptr->genome[ptr_wordPtr] |= reg << ptr_shiftPtr;
currentWord = pptr->genome[wordPtr]; /* Must refresh in case this changed! */
break;
case 0x7: /* READB: Read into the register from buffer */
reg = (outputBuf[ptr_wordPtr] >> ptr_shiftPtr) & 0xf;
break;
case 0x8: /* WRITEB: Write out from the register to buffer */
outputBuf[ptr_wordPtr] &= ~(((uintptr_t)0xf) << ptr_shiftPtr);
outputBuf[ptr_wordPtr] |= reg << ptr_shiftPtr;
break;
case 0x9: /* LOOP: Jump forward to matching REP if register is zero */
if (reg) {
if (loopStackPtr >= POND_DEPTH)
stop = 1; /* Stack overflow ends execution */
else {
loopStack_wordPtr[loopStackPtr] = wordPtr;
loopStack_shiftPtr[loopStackPtr] = shiftPtr;
++loopStackPtr;
}
} else falseLoopDepth = 1;
break;
case 0xa: /* REP: Jump back to matching LOOP if register is nonzero */
if (loopStackPtr) {
--loopStackPtr;
if (reg) {
wordPtr = loopStack_wordPtr[loopStackPtr];
shiftPtr = loopStack_shiftPtr[loopStackPtr];
currentWord = pptr->genome[wordPtr];
/* This ensures that the LOOP is rerun */
continue;
}
}
break;
case 0xb: /* TURN: Turn in the direction specified by register */
facing = reg & 3;
break;
case 0xc: /* XCHG: Skip next instruction and exchange value of register with it */
if ((shiftPtr += 4) >= SYSWORD_BITS) {
if (++wordPtr >= POND_DEPTH_SYSWORDS) {
wordPtr = EXEC_START_WORD;
shiftPtr = EXEC_START_BIT;
} else shiftPtr = 0;
}
tmp = reg;
reg = (pptr->genome[wordPtr] >> shiftPtr) & 0xf;
pptr->genome[wordPtr] &= ~(((uintptr_t)0xf) << shiftPtr);
pptr->genome[wordPtr] |= tmp << shiftPtr;
currentWord = pptr->genome[wordPtr];
break;
case 0xd: /* KILL: Blow away neighboring cell if allowed with penalty on failure */
tmpptr = getNeighbor(x,y,facing);
if (accessAllowed(tmpptr,reg,0)) {
if (tmpptr->generation > 2)
++statCounters.viableCellsKilled;
/* Filling first two words with 0xfffff... is enough */
tmpptr->genome[0] = ~((uintptr_t)0);
tmpptr->genome[1] = ~((uintptr_t)0);
tmpptr->ID = cellIdCounter;
tmpptr->parentID = 0;
tmpptr->lineage = cellIdCounter;
tmpptr->generation = 0;
++cellIdCounter;
} else if (tmpptr->generation > 2) {
tmp = pptr->energy / FAILED_KILL_PENALTY;
if (pptr->energy > tmp)
pptr->energy -= tmp;
else pptr->energy = 0;
}
break;
case 0xe: /* SHARE: Equalize energy between self and neighbor if allowed */
tmpptr = getNeighbor(x,y,facing);
if (accessAllowed(tmpptr,reg,1)) {
#ifdef USE_PTHREADS_COUNT
pthread_mutex_lock(&(tmpptr->lock));
#endif
if (tmpptr->generation > 2)
++statCounters.viableCellShares;
tmp = pptr->energy + tmpptr->energy;
tmpptr->energy = tmp / 2;
pptr->energy = tmp - tmpptr->energy;
#ifdef USE_PTHREADS_COUNT
pthread_mutex_unlock(&(tmpptr->lock));
#endif
}
break;
case 0xf: /* STOP: End execution */
stop = 1;
break;
}
}
/* Advance the shift and word pointers, and loop around
* to the beginning at the end of the genome. */
if ((shiftPtr += 4) >= SYSWORD_BITS) {
if (++wordPtr >= POND_DEPTH_SYSWORDS) {
wordPtr = EXEC_START_WORD;
shiftPtr = EXEC_START_BIT;
} else shiftPtr = 0;
currentWord = pptr->genome[wordPtr];
}
}
/* Copy outputBuf into neighbor if access is permitted and there
* is energy there to make something happen. There is no need
* to copy to a cell with no energy, since anything copied there
* would never be executed and then would be replaced with random
* junk eventually. See the seeding code in the main loop above. */
if ((outputBuf[0] & 0xff) != 0xff) {
tmpptr = getNeighbor(x,y,facing);
#ifdef USE_PTHREADS_COUNT
pthread_mutex_lock(&(tmpptr->lock));
#endif
if ((tmpptr->energy)&&accessAllowed(tmpptr,reg,0)) {
/* Log it if we're replacing a viable cell */
if (tmpptr->generation > 2)
++statCounters.viableCellsReplaced;
tmpptr->ID = ++cellIdCounter;
tmpptr->parentID = pptr->ID;
tmpptr->lineage = pptr->lineage; /* Lineage is copied in offspring */
tmpptr->generation = pptr->generation + 1;
for(i=0;i<POND_DEPTH_SYSWORDS;++i)
tmpptr->genome[i] = outputBuf[i];
}
#ifdef USE_PTHREADS_COUNT
pthread_mutex_unlock(&(tmpptr->lock));
#endif
}
/* Update the neighborhood on SDL screen to show any changes. */
#ifdef USE_SDL
((uint8_t *)screen->pixels)[x + (y * sdlPitch)] = getColor(pptr);
if (x) {
((uint8_t *)screen->pixels)[(x-1) + (y * sdlPitch)] = getColor(&pond[x-1][y]);
if (x < (POND_SIZE_X-1))
((uint8_t *)screen->pixels)[(x+1) + (y * sdlPitch)] = getColor(&pond[x+1][y]);
else ((uint8_t *)screen->pixels)[y * sdlPitch] = getColor(&pond[0][y]);
} else {
((uint8_t *)screen->pixels)[(POND_SIZE_X-1) + (y * sdlPitch)] = getColor(&pond[POND_SIZE_X-1][y]);
((uint8_t *)screen->pixels)[1 + (y * sdlPitch)] = getColor(&pond[1][y]);
}
if (y) {
((uint8_t *)screen->pixels)[x + ((y-1) * sdlPitch)] = getColor(&pond[x][y-1]);
if (y < (POND_SIZE_Y-1))
((uint8_t *)screen->pixels)[x + ((y+1) * sdlPitch)] = getColor(&pond[x][y+1]);
else ((uint8_t *)screen->pixels)[x] = getColor(&pond[x][0]);
} else {
((uint8_t *)screen->pixels)[x + ((POND_SIZE_Y-1) * sdlPitch)] = getColor(&pond[x][POND_SIZE_Y-1]);
((uint8_t *)screen->pixels)[x + sdlPitch] = getColor(&pond[x][1]);
}
#endif /* USE_SDL */
}
return (void *)0;
}
/**
* Main method
*
* @param argc Number of args
* @param argv Argument array
*/
int main()
{
uintptr_t i,x,y;
/* Seed and init the random number generator */
prngState[0] = (uint64_t)time(NULL);
srand(time(NULL));
prngState[1] = (uint64_t)rand();
/* Reset per-report stat counters */
for(x=0;x<sizeof(statCounters);++x)
((uint8_t *)&statCounters)[x] = (uint8_t)0;
/* Set up SDL if we're using it */
#ifdef USE_SDL
if (SDL_Init(SDL_INIT_VIDEO) < 0 ) {
fprintf(stderr,"*** Unable to init SDL: %s ***\n",SDL_GetError());
exit(1);
}
atexit(SDL_Quit);
window = SDL_CreateWindow("nanopond", SDL_WINDOWPOS_CENTERED, SDL_WINDOWPOS_CENTERED, POND_SIZE_X, POND_SIZE_Y, 0);
if (!window) {
fprintf(stderr, "*** Unable to create SDL window: %s ***\n", SDL_GetError());
exit(1);
}
winsurf = SDL_GetWindowSurface(window);
if (!winsurf) {
fprintf(stderr, "*** Unable to get SDL window surface: %s ***\n", SDL_GetError());
exit(1);
}
screen = SDL_CreateRGBSurface(0, POND_SIZE_X, POND_SIZE_Y, 8, 0, 0, 0, 0);
if (!screen) {
fprintf(stderr, "*** Unable to create SDL window surface: %s ***\n", SDL_GetError());
exit(1);
}
/* Set palette entries to match the default SDL 1.2.15 palette */
{
Uint8 r[8] = {0, 36, 73, 109, 146, 182, 219, 255};
Uint8 g[8] = {0, 36, 73, 109, 146, 182, 219, 255};
Uint8 b[4] = {0, 85, 170, 255};
int curColor = 0;
for(unsigned int i = 0; i < 8; ++i) {
for(unsigned int j = 0; j < 8; ++j) {
for(unsigned int k = 0; k < 4; ++k) {
SDL_Color color = {r[i], g[j], b[k], 255};
SDL_SetPaletteColors(screen->format->palette, &color, curColor, 1);
curColor++;
}
}
}
}
#endif /* USE_SDL */
/* Clear the pond and initialize all genomes
* to 0xffff... */
for(x=0;x<POND_SIZE_X;++x) {
for(y=0;y<POND_SIZE_Y;++y) {
pond[x][y].ID = 0;
pond[x][y].parentID = 0;