Jun 99 Challenge

Volume Number: 15 (1999)
Issue Number: 6
Column Tag: Programmer's Challenge

Jun 99 Challenge

by Bob Boonstra, Westford, MA

Tetraminx

The last Challenge I entered as a contestant was the Rubik's Cube Challenge, where entries had to solve a scrambled Rubik's cube. While that Challenge was difficult enough to cause me to retire from competition after winning, I've stayed interested in puzzles. Some time ago I ran across Meffert's World Of Puzzles, an online puzzle vendor at http://www.mefferts-puzzles.com/mefferts-puzzles/catalog.html, and ordered a few of their puzzles. The Tetraminx is perhaps the least difficult puzzle, much simpler than the Cube, but still interesting enough that I thought it might make a good Challenge without driving any contestants into retirement.

The Tetraminx is formed by four hexagonal faces, each consisting of six triangles, joined in the shape of a tetrahedron, plus four triangles to complete the solid, as depicted at http://www.mefferts-puzzles.com/pictures/tetramix.jpg.

Scrambled Tetraminx

Your Challenge is to come up with a sequence of moves that will return the puzzle to the goal state, where each of the hexagonal faces consist of triangular facelets of a single color.

The prototype for the code you should write is:

```#if defined (__cplusplus)
extern "C" {
#endif

typedef enum {
kYellow=1,kBlue,kRed,kGreen
} PieceColor;

typedef enum {
kLeftClockwise=1,kRightClockwise,
kBottomClockwise,kBackClockwise,
kLeftCounterClockwise,kRightCounterClockwise,
kBottomCounterClockwise,kBackCounterClockwise
} Move;

typedef enum {
/* single triangular faces named after the opposite hexagonal face */
kLeft,kRight,kBottom,kBack,
/* edge faces named kXY, where X is the hexagonal face they are part of,
and Y is the adjacent hexagonal face */
kBR,kRK,kKB,
kLB,kBK,kKL,
kKR,kRL,kLK,
kLR,kRB,kBL,
/* corner faces named cXY, where X is the hexagonal face they are part of,
and Y is the hexagonal face opposite the adjacent single triangle */
cRL,cKL,cBL,
cLR,cBR,cKR,
cRB,cLB,cKB,
cLK,cRK,cBK
} PieceType;

typedef struct {
PieceType piece;
PieceColor color;
} PieceState;

long /* numberOfMoves */ Tetraminx (
PieceState state[28],      /* initial state of the 28 pieces */
Move moves[],              /* moves you generate */
long maxMoves              /* maximum storage in move array */
);

#if defined (__cplusplus)
}
#endif
```

The puzzle is manipulated with four pairs of 120-degree rotation moves that we will call kLeftXXX, kRightXXX, kBottomXXX, and kBackXXX, corresponding to the four hexagonal faces of the Tetraminx. The moves are named for the hexagonal face that remains fixed during the move.. Opposite each of those hexagonal faces are the single triangular faces whose positions remain fixed for all moves (except for rotation). Each move pair consists of a clockwise move and a counterclockwise move, as viewed from the opposite single facelet, through the Tetraminx, at the face for which the move is named.

The PieceType enum names the 28 triangular facelets. Facelets come in three types, and it is important to understand the naming convention for the facelets. The first type consists of the single triangular faces, and those are named kLeft, etc., for the move that rotates the piece, and for the opposite hexagonal face. The second type is an "edge" facelet, one with a single adjoining triangle, and those are named kXY, where X (L, R, B, or K) is the hexagonal face containing the piece, and Y (also L, R, B, or K) contains the adjacent facelet. Finally, "corner" facelets have three adjacent triangles, two of them on the same hexagonal face, and one a single triangular face. These are named kXY, where X is the hexagon containing the piece, and Y is the single triangular face.

This is probably impossible to understand without a picture, so I've included one. A color version of the picture is available at http://www.mefferts-puzzles.com/mefferts-puzzles/pictures/tetrmi5b.gif. The blue, red, yellow, and green faces are the left, right, bottom, and back faces, respectively. The face comprised of the single center (yellow) triangle is the kBack facelet. Starting with the blue triangle next to the kBack facelet, and moving clockwise around the blue face, are the cLK, kLB, cLR, kLK, cLB, and kLR facelets.

The kBackClockwise move rotates the yellow kBack facelet in a clockwise direction, moving the kLR piece (Blue-Red) to where the kRB piece (Red-Yellow) is, and the kRB piece to where the kBL piece (Yellow-Blue) is.

If the nomenclature for facelets and moves seems confusing, the test code available via the Challenge mailing list will make it clearer. Alternatively, for those of you that are into group theory, the four clockwise moves perform the following permutations on the facelets:

```kRightClockwise:     (kKL, kLB, kBK) (kLK, kBL, kKB) (cLR, cBR, cKR)
kLeftClockwise:      (kRK, kKB, kBR) (kKR, kBK, kRB) (cRL, cKL, cBL)
kBottomClockwise:    (kKR, kRL, kLK) (kRK, kLR, kKL) (cRB, cLB, cKB)
kBackClockwise:      (kLR, kRB, kBL) (kRL, kBR, kLB) (cLK, cRK, cBK)
```

Tetraminx Facelets

Your code should place the moves needed to solve the puzzle in moves and return the number of moves generated, or return zero if you cannot solve the puzzle in maxMoves moves.

Instructions for solving the Tetraminx are available at http://www.mefferts-puzzles.com/mefferts-puzzles/tetrasol.html. Since you probably don't have a Tetraminx handy, test code will be available to help you see the effects of the moves you make to solve the puzzle. The winner will be the solution that solves the puzzle in the fewest number of moves, with a 10% penalty added for each second of execution time.

This will be a native PowerPC Challenge, using the latest CodeWarrior environment. Solutions may be coded in C, C++, or Pascal.

Three Months Ago Winner

Congratulations once again to Randy Boring for submitting the winning solution to the March Terrain Traversal Challenge. The March Challenge required contestants to process sets of 3-dimensional input points, convert them into non-overlapping triangles, and then navigate across those triangles from pairs of starting points and ending points. The score for a solution was based on the distance traveled, with a penalty for the change in elevation along each segment of the solution, and an additional 10% penalty for each second of execution time. The winning solution minimized the solution score and the total elevation change, but it took the greatest amount of execution time to do so, and generated solution paths that were longer than those of the 3rd place solution.

Some of the contestants and members of the Challenge mailing list mentioned the possible use of Delaunay triangles http://www.ics.uci.edu/~eppstein/gina/delaunay.html in solving this Challenge. A collection of Delaunay triangles has the property that, for each edge in the collection, there is a circle containing the edge's endpoints but not any other endpoints. The idea was that these triangles would be "best" in some sense for finding optimal paths from pairs of points. However, none of the submitted solutions actually implemented this approach.

The top two scoring solutions both tried a straightforward approach to defining triangles, one that I hadn't anticipated when I defined the problem (although I probably should have). These two solutions selected an anchor point, sorted the remaining points by the angle they formed from the anchor point, and formed triangles from the anchor point to the Nth and N+1st points in angle from the anchor. This approach has the feature that there is a two-segment path between any pair of points, one from the first point to the anchor, and one from the anchor to the second point. Randy's winning solution chose the anchor to be a point in the center of the set of points, while the second-place entry of Jared Selengut chose the point arbitrarily. Randy's solution looked for a path that was better than this initial two-segment path, an enhancement that did find a better solution in one of my tests. Jared's solution was much quicker, but it found longer paths with greater elevation change than Randy's winning solution.

Ernst Munter's solution actually found the shortest solutions, although the elevation change was greater. Ernst's approach was to build the triangles in progressively widening circles around a central point. The paths produced by his solution had many more segments than the other two solutions, resulting in a more direct path between the endpoints, but the total elevation change was greater than that generated by either of the other two solutions.

The test scenarios consisted of a total of 18 test cases using 3 data sets of 2500 points each. The table below lists, for each of the solutions submitted, the total execution time for all test cases, the total horizontal distance and elevation change for the paths generated, the total score for all test cases, and the code and data size of each solution. As usual, the number in parentheses after the entrant's name is the total number of Challenge points earned in all Challenges prior to this one.

 Name Time (msec) Horizontal Distance Elevation Change Score Time Code Size Data Size Randy Boring (83) 3947.17 71710.96 3207.75 118109.99 9952 1MB Jared Selengut 142.63 73702.69 6282.39 137171.56 2044 72 Ernst Munter (430) 1729.30 65972.19 18157.13 261376.67 9312 264

Top Contestants

Listed here are the Top 20 Contestants for the Programmer's Challenge. The numbers below include points awarded over the 24 most recent contests, including points earned by this month's entrants.

1. Munter, Ernst 205
2. Saxton, Tom 99
3. Boring, Randy 66
4. Rieken, Willeke 47
5. Maurer, Sebastian 40
6. Heithcock, JG 37
7. Murphy, ACC 34
8. Lewis, Peter 31
9. Mallett, Jeff 30
10. Cooper, Greg 27
11. Nicolle, Ludovic 27
12. Brown, Pat 20
13. Day, Mark 20
14. Hostetter, Mat 20
15. Hewett, Kevin 10
16. Jones, Dennis 10
17. Selengut, Jared 10
19. Varilly, Patrick 10
20. Webb, Russ 10

There are three ways to earn points: (1) scoring in the top 5 of any Challenge, (2) being the first person to find a bug in a published winning solution or, (3) being the first person to suggest a Challenge that I use. The points you can win are:

 1st place 20 points 2nd place 10 points 3rd place 7 points 4th place 4 points 5th place 2 points finding bug 2 points suggesting Challenge 2 points

Here is Randy's winning Terrain Traversal solution:

```/*
*    Simple solution: two-part path!
*    make radial design triangles to a central point
*    solve by traversing to center, then to destination
*/

#include "FindAPath.h"
#include <fp.h>
#include <MacMemory.h>   // for NewPtr, etc.

#pragma mark == Top ==
#define INPUT_IS_SORTED   0
#define MYDEBUG 0

#if MYDEBUG
#define kGarbage   (0xA3A3A3A3)
#define kGarbage2   (0xA3A5A4A3)
#define kGarbage3   (0xA5A5A5A5)
#define ASRT_TYPE 1
#if ASRT_TYPE == 2
#include <assert.h>
#define ASSERT(cond)   assert(cond)
#else
#define ASSERT(cond)   if (cond) ; else DebugStr("\p assert failed!")
#endif
#else
#define ASSERT(cond)
#endif

// skew the weight of the z (height) axis, since it is skewed
//   in the scoring of our Solutions.
#define kHeightWeight      (8.0)   // should be up around 100.0 since it's squared
#define kTwoPi            (pi * 2.0)
#define IdxOfPt(pt,ptarray)   ((pt) - (ptarray))
#define kNoTriangle         (-1)
#define kMaxPoints         (32 * 1024L)

// globals
static long gCenterIdx;   // index of center point

#if INPUT_IS_SORTED
// 'fix' the numbering of points (off by one)
#define PtNumToIdx(n)      ((n) - 1)
#define IdxToPtNum(p,i)      ((i) + 1)
#else
// 'fix' the numbering of points (create mapping of number to index!)
static long gPtNumToIdxMap[kMaxPoints];

#define PtNumToIdx(n)   (gPtNumToIdxMap[(n) - 1])
#define IdxToPtNum(p,i)   ((p)[i].thePointNum)

static void
MakePtNumToIdxMap(const Point3D p[], long pCount)
{
long i;
for (i = 0; i < pCount; i++)
gPtNumToIdxMap[p[i].thePointNum - 1] = i;
}

static void
DisposePtNumToIdxMap(void)
{
DisposePtr((Ptr) gPtNumToIdxMap);
}
#endif

Dist
// Return a measure of the distance, given the deltas, but
//   weight the height (z) axis most, as this has the most
//   weight in our Solution's score.
static double
Dist(double dx, double dy, double dz)
{
return (dx * dx + dy * dy + dz * dz * kHeightWeight);
}

FindMiddleDotIdx
// Return the index of the middle-most point
static long
FindMiddleDotIdx(const Point3D p[], long numPoints)
{
double totX = 0.0, totY = 0.0, totH = 0.0;
double aveX, aveY, aveH;
double denom = 1.0 / numPoints;
double bestDX, bestDY, bestDH, closestDist;
long i, besti;

// find average x, y, ht
for (i = 0; i < numPoints; i++)
{
totX += p[i].thePoint.x;
totY += p[i].thePoint.y;
totH += p[i].ht;
}
aveX = totX * denom;
aveY = totY * denom;
aveH = totH * denom;
bestDX = aveX - p[0].thePoint.x;
bestDY = aveY - p[0].thePoint.y;
bestDH = aveH - p[0].ht;
besti = 0;
closestDist = Dist(bestDX, bestDY, bestDH);

// find lowest distance to average
for (i = 1; i < numPoints; i++)
{
double dH, dX, dY, thisDist;
dX = aveX - p[i].thePoint.x;
dY = aveY - p[i].thePoint.y;
dH = aveH - p[i].ht;
thisDist = Dist(dX, dY, dH);
if (closestDist > thisDist)
{
closestDist = thisDist;
besti = i;
}
}
return besti;
}

// Absolute radians of the vector from point c to point i
static double
RadiansBetweenOld(long c, long i, const Point3D p[])
{
double dx = p[i].thePoint.x - p[c].thePoint.x;
double dy = p[i].thePoint.y - p[c].thePoint.y;
double angle = atan2(dy, dx);
return angle;
}

// Absolute radians of the vector from point 0 to point 1
static inline double
RadiansBetween(double x0, double y0, double x1, double y1)
{
double dx = x1 - x0;
double dy = y1 - y0;
double angle = atan2(dy, dx);
return angle;
}

// Add the two points, c and pointi, to a proto-Triangle
//   (The other leg will be added after sorting by angle)
static void
long pointi, long c,
Triangle t[], long ti)
{
double *angle = (double *) &(t[ti].thePoints[1]);
p[pointi].thePoint.x, p[pointi].thePoint.y);
//   t[ti].theTriangleNum = ti;   // filled in later
t[ti].thePoints[0] = IdxToPtNum(p, pointi);
}

Cmp
static int   // positive if right less then left, zero if equal
Cmp(const void *left, const void *right)
{
Triangle *lt = (Triangle *) left;
Triangle *rt = (Triangle *) right;
double *ltval = (double *) &(lt->thePoints[1]);
double *rtval = (double *) &(rt->thePoints[1]);
double diff = *ltval - *rtval;
if (diff > 0.0)
return 1;
else if (diff < 0.0)
return -1;
else
return 0;
}

SortTriangles
#include <stdlib.h>
/* void qsort(void *base, size_t nmemb, size_t size,
int (*compare) (const void *, const void *)) */
/* this requires linking with MSL Std C Lib */
static void
SortTriangles(Triangle t[], const long tCount)
{
qsort(t, tCount, sizeof(Triangle), Cmp);
}

ConcaveAngle
// Return true if the angle difference, diff, represents
//   a Concave angle, i.e., < 180 degrees (pi radians)
static Boolean
ConcaveAngle(double diff)
{
if (diff < -pi)
return true;

/* Bob guaranteed that this case would not occur:
'The situation where a point lies exactly along an
edge between two other points will not arise.' */
ASSERT(diff != 0.0);

if (diff <= 0.0)
return false;
if (diff < pi)
return true;
return false;
}

Perimeter Point List
#pragma mark == Perimeter Point List ==

// This structure is for keeping track of the diminishing
//   list of points that make up the 'perimeter' around the
//   triangles.
// As the 'concavities' are filled up, points in this list
//   are no longer on the perimeter and so are removed.
// The process stops when the perimeter is convex
// The 'un-const' Point3DPtr is still treated as 'const' by me,
//   but I couldn't figure out how to make the compiler let
//   me make const pointers into the point array otherwise.
typedef Point3D * Point3DPtr;
typedef struct {
Point3DPtr   *plist;
Point3DPtr   *plast;
long      size;
} PointList;

//----//----//----//----//----//----//
static void
MakeListOfEdgePoints(Triangle t[], long tCount, void *vp,
{
long i;
Point3DPtr p = (Point3DPtr) vp;
Point3DPtr *pp;
list->plist = pp = (Point3D **) NewPtr(tCount * sizeof(Point3D));
if (list->plist == nil)
DebugStr("\p couldn't allocate point list!");
list->size = tCount;
for (i = 0; i < badIndex; i++)
*pp++ = &(p[PtNumToIdx(t[i].thePoints[0])]);
{
*pp++ = &(p[PtNumToIdx(t[i].thePoints[0])]);
*pp++ = &(p[gCenterIdx]);
list->size++;
i++;   // i == badIndex has been processed
}
for (; i < tCount; i++)
*pp++ = &(p[PtNumToIdx(t[i].thePoints[0])]);
list->plast = pp;
}

static void
DisposeList(PointList *list)
{
DisposePtr((Ptr) list->plist);
#if MYDEBUG
list->plist = (struct Point3D **) kGarbage;
list->plast = (struct Point3D **) kGarbage2;
list->size = kGarbage3;
#endif
}

#define GetEdgePointCount(l)   ((l)->size)
#define SetEdgePointCount(l,s)   ((l)->size = (s))
#define RemoveEdgePoint(l,p)   (*(p) = nil)

//----//----//----//----//----//----//
// Find first non-nil ptr in array
static Point3DPtr *
GetFirstEdgePoint(PointList *list)
{
Point3DPtr *p = list->plist;
while (*p == nil)
++p;
ASSERT(p < list->plast);
return p;
}

//----//----//----//----//----//----//
// Starting at p, find next non-nil ptr in array
// Returns nil if no more, else
// Returns pointer to array element containing the non-nil ptr
static Point3DPtr *
GetNextEdgePoint(PointList *list, Point3DPtr *p)
{
Point3DPtr *stop = list->plast;
Point3DPtr *found = nil;
while (++p < stop)
if (*p != nil)
{
found = p;
break;
}
ASSERT(p < stop);
return found;
}

//----//----//----//----//----//----//
// Return true if, when looking from p1 to p3, p2 is on the left
// This means that a triangle can be constructed of these
//   points, making the perimeter more convex (removing a concavity).
static Boolean
Concave(const Point3D *p1, const Point3D *p2, const Point3D *p3)
{
p1->thePoint.x, p1->thePoint.y);
p3->thePoint.x, p3->thePoint.y);
double diff = r23 - r21;   // angle (in radians) at point 2
return ConcaveAngle(diff);
}

static void
Point3DPtr p1, Point3DPtr p2, Point3DPtr p3)
{
//   t[tidx].theTriangleNum = tidx;   // filled in later
t[tidx].thePoints[0] = p1->thePointNum;
t[tidx].thePoints[1] = p2->thePointNum;
t[tidx].thePoints[2] = p3->thePointNum;
}

//----//----//----//----//----//----//
// Create more triangles by going around the perimeter once
//   and connecting edge points that can 'see' each other.
// Returns how many more were created
static long
Convexify(PointList *list, Triangle t[], long tCount)
{
Point3DPtr *firstpt, *pt1, *pt2, *pt3;
long edgePtCount = GetEdgePointCount(list);
long moreTriangles = 0;
firstpt = pt1 = GetFirstEdgePoint(list);
pt2 = GetNextEdgePoint(list, pt1);
ASSERT(pt2 != nil);
do   {
pt3 = GetNextEdgePoint(list, pt2);
ASSERT(pt3 != nil);
if (Concave(*pt1, *pt2, *pt3))
{
tCount++;
moreTriangles++;
RemoveEdgePoint(list, pt2);
pt1 = pt3;
if (-edgePtCount > 2)
pt2 = GetNextEdgePoint(list, pt1);
}
else {
pt1 = pt2;
pt2 = pt3;
}
} while (-edgePtCount > 2);
// last two wrap around, putting p1 into p3 and p2 positions
if (*pt2 == nil)   // last triangle was concave
{
pt2 = firstpt;
pt3 = GetNextEdgePoint(list, firstpt);
if (Concave(*pt1, *pt2, *pt3))
{
tCount++;
moreTriangles++;
RemoveEdgePoint(list, pt2);
}
}
else {
pt3 = firstpt;
if (Concave(*pt1, *pt2, *pt3))
{
tCount++;
moreTriangles++;
RemoveEdgePoint(list, pt2);
}
else {
pt1 = pt2;
pt2 = pt3;
pt3 = GetNextEdgePoint(list, pt2);
if (Concave(*pt1, *pt2, *pt3))
{
tCount++;
moreTriangles++;
RemoveEdgePoint(list, pt2);
}
}
}
// reduce the count of points on the perimeter by the number
//   of triangles we created this pass
SetEdgePointCount(list,
GetEdgePointCount(list) - moreTriangles);
return moreTriangles;
}

//----//----//----//----//----//----//
// Interconnect more 'edge' points into triangles
// Returns new triangle count
static long
MakeMoreTriangles(Triangle t[], long tCount,
const Point3D p[], PointList *listp)
{
#pragma unused (p)
long moreTriangles = 0;
do   {
moreTriangles = Convexify(listp, t, tCount);
tCount += moreTriangles;
} while (moreTriangles > 0);
DisposeList(listp);
return tCount;
}
//----//----//----//----//----//----//
// Note: If the set of points can form a convex polygon,
//   (or the mid-most point is on the outside for any reason),
//   then this algorithm would produce an "overlapping triangle"
//   because one of its angles is greater than 180 degrees (i.e.,
//   it is upside down) without the ConcaveAngle check.
// Returns how many triangles were made.  This should be
//   tCount, unless there was an inverted triangle, in which case
//   it will be tCount - 1
static long
MakePerimeterConnections(Triangle t[], const long tCount,
const Point3D p[], const PointNum cnum, PointList *listp)
{
double angleLast = *(double *)&t[0].thePoints[1];
double angleLastOriginal = angleLast;   // save for wraparound test
double angleNext;
for (i = 0; i < tCount - 1; i++)
{
angleNext = *(double *)&t[i + 1].thePoints[1];
if (ConcaveAngle(angleNext - angleLast))
{
t[i].thePoints[2] = t[i + 1].thePoints[0];
t[i].thePoints[1] = cnum;
angleLast = angleNext;
}
else {
/* we can have only ONE inverted triangle to skip */
}
}
// wrap around to the beginning
angleNext = angleLastOriginal;
if (ConcaveAngle(angleNext - angleLast))
{
t[tCount - 1].thePoints[2] = t[0].thePoints[0];
t[tCount - 1].thePoints[1] = cnum;
}
else
MakeListOfEdgePoints(t, tCount, (void *) p, badIndex, listp);
// account for possible bad triangle
{   // shift all triangles above badIndex down one
(tCount - 1 - badIndex) * sizeof(Triangle));
return tCount - 1;
}
return tCount;
}

//----//----//----//----//----//----//
// Make the triangles that connect each point with the center point
// Return the number of triangles created (pCount - 1 or 2)
static long
MakeRadialTriangles(long center, const Point3D p[], long pCount, Triangle t[])
{
long i, tCount;
PointList list;
for (i = 0; i < center; i++)
// don't connect center with itself!
for (i = center + 1; i < pCount; i++)
MakeRadialConnection(p, i, center, t, i - 1);
tCount = pCount - 1;
SortTriangles(t, tCount);
tCount = MakePerimeterConnections(t, tCount, p,
IdxToPtNum(p, center), &list);
tCount = MakeMoreTriangles(t, tCount, p, &list);
return tCount;
}

#if MYDEBUG
static void
DbgWriteTriangles(long c, const Point3D p[], Triangle t[],
long tCount)
{
FILE *dbgf = fopen("triangles.out", "w");
long i;
const Point2D *pt = &(p[c].thePoint);
fprintf(dbgf, "center = %d (%f, %f)\n\n", c, pt->x, pt->y);
fprintf(dbgf,
"\n tri   \tp0   \tp1   \tp2   \t(x, y) of p0\n");
for (i = 0; i < tCount; i++)
{
const Point2D *pt0;
PointNum pnum0 = t[i].thePoints[0];
pt0 = &(p[PtNumToIdx(pnum0)].thePoint);
fprintf(dbgf, "%d   \t%d   \t%d   \t%d   \t(%f, %f)\n",
i, pnum0, t[i].thePoints[1], t[i].thePoints[2],
pt0->x, pt0->y);
}
fclose(dbgf);
}
#endif

Neighbor Mapping
#pragma mark == Neighbor Mapping ==

// This mapping helps iterate over the neighbors of a point

#define kEndOfNeighborList   (-1)
#define kMaxSmallNeighbors   (3)   // later 5-7
#define kExtraNeighborBytes   (2)   // later 32 (bytes = 16 more neighbors)
#define kLastSmallNeighbor   (kMaxSmallNeighbors - 1)

typedef struct NMap {
short**   moreNeighborsH;   // excess neighbors (more than kMaxSmallNeighbors)
short   nCount;         // count of neighbors
short   smallNeighbors[kMaxSmallNeighbors];
} NeighborMap;

static NeighborMap gNeighborMap[kMaxPoints];
static long gpCount;

static void
ClearNeighborMap(const long pCount)
{
long i;
gpCount = pCount;   // for deallocating later
for (i = 0; i < pCount; i++)
{
gNeighborMap[i].moreNeighborsH = nil;
gNeighborMap[i].nCount = 0;
#if MYDEBUG
gNeighborMap[i].smallNeighbors[0] = kGarbage;
#endif
}
}

//----//----//----//----//----//----//
// add pt2 to pt1's neighborlist
static void
{
long i, count = gNeighborMap[pt1].nCount;
short *np = gNeighborMap[pt1].smallNeighbors;
long stop = (count > kMaxSmallNeighbors)
? kMaxSmallNeighbors : count;
short **h;
for (i = 0; i < stop; i++)
if (np[i] == pt2)

if (count < kMaxSmallNeighbors)
{   // there is room in the small neighbor list
gNeighborMap[pt1].smallNeighbors[count] = pt2;
gNeighborMap[pt1].nCount = count + 1;
return;
}
else if (count == kMaxSmallNeighbors)
{   // time to allocate Handle for more neighbors
ASSERT(gNeighborMap[pt1].moreNeighborsH == nil);
h = (short **) NewHandle(kExtraNeighborBytes);
if (h == nil)
DebugStr("\p couldn't allocate extra neighbors handle");
gNeighborMap[pt1].moreNeighborsH = h;
**h = pt2;
gNeighborMap[pt1].nCount = count + 1;
return;
}

ASSERT(GetHandleSize((Handle) gNeighborMap[pt1].moreNeighborsH)
>= 2 *(count - kMaxSmallNeighbors));
np = *gNeighborMap[pt1].moreNeighborsH;
stop = count - kMaxSmallNeighbors;
for (i = 0; i < stop; i++)
if (np[i] == pt2)

// didn't find pt2 in neighbor list, we'll have to add it
h = gNeighborMap[pt1].moreNeighborsH;
// check to see if we need to resize handle
ASSERT(stop * 2 <= GetHandleSize((Handle) h));
if (stop * 2 == GetHandleSize((Handle) h))
{
SetHandleSize((Handle) h, stop * 4);
if (GetHandleSize((Handle) h) != stop * 4)
DebugStr("\p couldn't resize handle for more neighbors!");
}
*((*h) + stop) = pt2;
gNeighborMap[pt1].nCount = count + 1;
}

//----//----//----//----//----//----//
// add pt2 to pt1's neighborlist and pt1 to pt2's
static void
{
}

static void
LockNeighborHandles(void)
{
long i;
for (i = 0; i < gpCount; i++)
if (gNeighborMap[i].nCount > kMaxSmallNeighbors)
{   // must have handle when we have more neighbors
ASSERT(gNeighborMap[i].moreNeighborsH != nil);
HLock((Handle) gNeighborMap[i].moreNeighborsH);
}
else   // no handle when neighbors fit in small array
ASSERT(gNeighborMap[i].moreNeighborsH == nil);
}

//----//----//----//----//----//----//
// Ignores center point because our algorithm will first use
//   the center to find an initial solution.  Therefore no
//   around-the-edge solution will need to go through the center.
static void
MakeNeighborMap(const Triangle t[], const long tCount,
const long pCount)
{
long i = -1;
ClearNeighborMap(pCount);
while (t[++i].thePoints[1] == gCenterIdx)
PtNumToIdx(t[i].thePoints[2]));
for (; i < tCount; i++)
{
PtNumToIdx(t[i].thePoints[1]));
PtNumToIdx(t[i].thePoints[2]));
PtNumToIdx(t[i].thePoints[2]));
}
LockNeighborHandles();
}

static void
DisposeNeighborMap()
{
long i;
for (i = 0; i < gpCount; i++)
if (gNeighborMap[i].nCount > kMaxSmallNeighbors)
DisposeHandle((Handle) gNeighborMap[i].moreNeighborsH);
}

static inline long
FirstNeighbor(long pti)
{
ASSERT(gNeighborMap[pti].nCount > 0);
return gNeighborMap[pti].smallNeighbors[0];
}

//----//----//----//----//----//----//
// returns next neighbor's point index
// searches for previous neighbor in list and returns the next one
// or kEndOfNeighborList (-1) if there is no next one
static long
NextNeighbor(long pti, long neighbor)
{
long i, count = gNeighborMap[pti].nCount;
short *np = gNeighborMap[pti].smallNeighbors;
long stop = (count > kMaxSmallNeighbors) ?
kMaxSmallNeighbors : count;
short **h;
for (i = 0; i < stop; i++)
if (np[i] == neighbor)
break;   // found neighbor
if (i < stop)
{   // found neighbor in small list
if (i + 1 < stop)   // there are more in the small list
return gNeighborMap[pti].smallNeighbors[i + 1];
// else, there are no more in the small list
if (i + 1 < kMaxSmallNeighbors)   // was there room for more?
return kEndOfNeighborList;   // then, that was the last one!
// else, found at end of a full small list
if (i + 1 < count)   // are there more neighbors?
{   // next neighbor is the first in the Handle
h = gNeighborMap[pti].moreNeighborsH;
ASSERT(h != nil);
return **h;
}
// else, no more at all
return kEndOfNeighborList;
}
if (count == kMaxSmallNeighbors)   // there are no more
return kEndOfNeighborList;
// have to search the handle's entries
np = *gNeighborMap[pti].moreNeighborsH;
stop = count - kMaxSmallNeighbors;
for (i = 0; i < stop; i++)
if (np[i] == neighbor)
break;   // found neighbor
ASSERT(i < stop);   // otherwise neighbor wasn't found! (misuse of this routine)
// check to see if we are at end of neighbor list
if (i + 1 < stop)   // there are more in handle's list
return np[i + 1];   // next neighbor
else            // found neighbor was the last one
return kEndOfNeighborList;
}

InitTerrainMap
// Interconnect the points into triangles of my choosing
// My strategy is to make thin triangles from every point to
//   a central point.  This way there is always a two-step (max)
//   path between any two points, and that path won't have much
//   elevation change.
// Then I improve that set by filling in the edges so that
//   the perimeter is concave.  This way, alternate paths may
//   be found between some pairs that are shorter than going
//   through the center.
long /*numTriangles*/
InitTerrainMap(
const Point3D thePoints[],
long numPoints,
Triangle theTriangles[])
{
long i, numTriangles;
long center;
#if !INPUT_IS_SORTED
MakePtNumToIdxMap(thePoints, numPoints);
#endif
center = FindMiddleDotIdx(thePoints, numPoints);
gCenterIdx = center;
numPoints, theTriangles);
#if MYDEBUG
DbgWriteTriangles(center, thePoints,
theTriangles, numTriangles);
#endif
// now number the triangles
for (i = 0; i < numTriangles; i++)
theTriangles[i].theTriangleNum = i;
MakeNeighborMap(theTriangles, numTriangles, numPoints);
return numTriangles;
}

TermTerrainMap
// release anything allocated in initialization
void
TermTerrainMap(void)
{
#if !INPUT_IS_SORTED
DisposePtNumToIdxMap();
#endif
DisposeNeighborMap();
}

ContainsPoint
// Return true if the point (x,y) is one of the points
static Boolean
ContainsPoint(const Point3D p[], const PointNum pn[3],
double x, double y)
{
long j;
for (j = 0; j < 3; j++)
{
long pti = PtNumToIdx(pn[j]);
if (p[pti].thePoint.x == x &&
p[pti].thePoint.y == y)
return true;
}
return false;
}

FindTriangleContaining
// Return the index of the triangle containing both
//   point 1 (x1, y1) and point 2 (x2, y2)
static long
FindTriangleContaining(const Point3D p[],
const Triangle t[], long tCount,
double x1, double y1,    // point 1
double x2, double y2)      // point 2
{
long i;
if (x1 == x2 && y1 == y2)
return kNoTriangle;   // points are the same
for (i = 0; i < tCount; i ++)
if (ContainsPoint(p, t[i].thePoints, x1, y1) &&
ContainsPoint(p, t[i].thePoints, x2, y2))
return i;
DebugStr("\p didn't find the triangle!");
return -2;   // failure!
}

FindPtIdx
// Find the index of the point with coordinates (ptx, pty)
// This is a linear search through the point list, don't do
//   it very often!
static long
FindPtIdx(const Point3D p[], long pCount,
double ptx, double pty)
{
long i;
for (i = 0; i < pCount; i++)
if (p[i].thePoint.x == ptx &&
p[i].thePoint.y == pty)
return i;
return -1;
}

CostBetween
// returns the cost between two points
// computed as per Challenge Statement: the distance between
//   the two (2D) points plus ten times the height difference
//   (as an absolute value).
static double
CostBetween(long ptAi, long ptBi, const Point3D p[])
{
double dx, dy, dht;
dht   = p[ptAi].ht;
dx      = p[ptAi].thePoint.x;
dy      = p[ptAi].thePoint.y;
dht   -= p[ptBi].ht;
dx      -= p[ptBi].thePoint.x;
dy      -= p[ptBi].thePoint.y;
dht   *= 10.0;
dx      *= dx;
dy      *= dy;
if      (dht < 0.0)
dht = -dht;
return sqrt(dx + dy) + dht;
}

CostOfSegmentPath
// returns cost of whole path (given as list of Segments)
// computed by adding cost between the startingPoint and the
//   endingPoint of each Segment.
static double
CostOfSegmentPath(Segment s[], long sCount,
const Point3D p[], const long pCount)
{
double total = 0.0;
long i;
long ptAi = FindPtIdx(p, pCount,
s[0].startingPoint.x, s[0].startingPoint.y);
for (i = 0; i < sCount; i++)
{
long ptBi = FindPtIdx(p, pCount,
s[i].endingPoint.x, s[i].endingPoint.y);
total += CostBetween(ptAi, ptBi, p);
ptAi = ptBi;
}
}

Search Queue & Paths
#pragma mark == Search Queue & Paths ==
// This structure is the heart of my depth-first-search
// It is both a search queue element and a path element
typedef struct QE {
struct QE *      nextSearchSQ;    // 32K max (+ 2 sentries)
//   short         ptIdx;            // 32K max
unsigned short   nextPathQEi;     // 32K max (+ 2 sentries)
short         refCount;           // path points are shared
double         costSoFar;         // total cost of folowing this path
} SearchQueueElem, *SearchQueue, *Path, **SearchQueuePtr;
#define IdxOfPath(p)      ((p) - gQ)
#define IdxOfSQ(q)         ((q) - gQ)
#define CostOfPath(p)      ((p)->costSoFar)
#define Idx2Path(ptidx)      (&(gQ[ptidx]))
#define Idx2SQ(qidx)      (&(gQ[qidx]))
#define NextSQOf(q)         ((q)->nextSearchSQ)
#define NextSQIdxOf(q)      (IdxOfSQ(NextSQOf(q)))
#define SetNextSQOf(q,nq)   (NextSQOf(q) = (nq))
#define NextPathIdxOf(p)   ((p)->nextPathQEi)
#define NextPathOf(p)      (Idx2Path(NextPathIdxOf(p)))
#define SetNextPathOf(p,np)   (NextPathIdxOf(p) = IdxOfPath(np))
#define RefCountOf(p)      ((p)->refCount)
#define kMaxQE         (kMaxPoints)
#define kLastValidQEi   (kMaxQE - 1)
#define kLastPath      (kMaxQE + 1)
#define kLastQE         (kMaxQE + 2)
static SearchQueueElem gQ[kMaxQE + 3];
// Sentry values (not nil, so I can tell whether an element is
//   in a path or queue, even at the end of it)
static const SearchQueue gkLastSQ = &gQ[kLastQE];
static const Path gkLastPath = &gQ[kLastPath];
//----//----//----//----//----//----//
static void
InitSearchQueue(SearchQueuePtr qp, const long pCount)
{
long i;
for (i = 0; i < pCount; i++)
{
gQ[i].nextSearchSQ = nil;
gQ[i].refCount = 0;
#if MYDEBUG
gQ[i].nextPathQEi = kGarbage;
gQ[i].costSoFar = (double) kGarbage;
#endif
}
*qp = gkLastSQ;
}

//----//----//----//----//----//----//
static void
DeInitSearchQueue(SearchQueuePtr qp)
{
#pragma unused(qp)
}
IsEmptySearchQueue
static inline Boolean
IsEmptySearchQueue(SearchQueuePtr qp)
{
ASSERT(qp != nil);
ASSERT(*qp >= &gQ[0]);
ASSERT(*qp <= gkLastSQ);
ASSERT(*qp != gkLastPath);
return (*qp == gkLastSQ);
}

//----//----//----//----//----//----//
static inline Boolean
{
ASSERT(p != nil);
ASSERT(p != gkLastSQ);
ASSERT(p != gkLastPath);
return (nil != NextSQOf(p));
}

//----//----//----//----//----//----//
// Add to search queue in sorted order (least cost at front)
static void
{
double pCost;
SearchQueue q, lastq;
ASSERT(qp != nil);
ASSERT(*qp != gkLastPath);
ASSERT(p != nil);
ASSERT(p != gkLastSQ);
ASSERT(p != gkLastPath);
if (*qp == gkLastSQ)
{
*qp = p;
SetNextSQOf(p, gkLastSQ);
return;
}
lastq = nil;
q = *qp;
pCost = CostOfPath(p);
while (q != gkLastSQ && CostOfPath(q) < pCost)
{
lastq = q;
q = NextSQOf(q);
}
if (lastq == nil)
else               // insert p after lastq
SetNextSQOf(lastq, p);
SetNextSQOf(p, q);
}

//----//----//----//----//----//----//
// Remove from the queue the least cost path
// Hint: it's at the front!
// Does NOT remove it from path NOR releases it
// DOES set nextSQ to nil
static inline Path
RemoveBestElem(SearchQueuePtr qp)
{
Path p = *qp;
ASSERT(p != nil);
ASSERT(p != gkLastSQ);
ASSERT(p != gkLastPath);
*qp = NextSQOf(p);
SetNextSQOf(p, nil);
return p;
}

//----//----//----//----//----//----//
// Remove from the queue the given path
// Does NOT remove it from path NOR releases it
// DOES set nextSQ to nil
static void
RemoveFromSearchQueue(SearchQueuePtr qp, Path p)
{
Path seek, seekLast;
ASSERT(qp != nil);
ASSERT(*qp != gkLastSQ);
ASSERT(*qp != gkLastPath);
ASSERT(p != nil);
ASSERT(p != gkLastSQ);
ASSERT(p != gkLastPath);
seekLast = nil;
seek = *qp;
while (seek != p)
{
seekLast = seek;
seek = NextSQOf(seek);
ASSERT(seek != nil);
ASSERT(seek != gkLastSQ);
}
if (seekLast == nil)   // p was first in list
*qp = NextSQOf(p);
else   // make the node before p point to the one after p
SetNextSQOf(seekLast, NextSQOf(p));
SetNextSQOf(p, nil);
}

//----//----//----//----//----//----//
static Path
MakeFirstPath(long pointIdx)
{
Path p = Idx2Path(pointIdx);
ASSERT(p >= gQ);
ASSERT(p <= &(gQ[kLastValidQEi]));
SetNextPathOf(p, gkLastPath);
SetNextSQOf(p, nil);
RefCountOf(p) = 64;   // anomoly to prevent loops at beginning
CostOfPath(p) = 0.0;
return p;
}

//----//----//----//----//----//----//
static inline void
AddPath(Path oldp, Path newp, double newTotalCost)
{
ASSERT(oldp != nil);
ASSERT(newp != nil);
ASSERT(newTotalCost > CostOfPath(oldp));
ASSERT(RefCountOf(newp) == 0);
SetNextPathOf(newp, oldp);
CostOfPath(newp) = newTotalCost;
RefCountOf(oldp)++;      // oldp becomes interior node
}

//----//----//----//----//----//----//
static void
ReleasePath(Path p)
{
ASSERT(p != nil);
ASSERT(p != gkLastSQ);
if (p == gkLastPath)
return;
if (RefCountOf(p) == 0)
ReleasePath(NextPathOf(p));
else
RefCountOf(p)-;
}

//----//----//----//----//----//----//
// Returns the number of segments, i.e., jumps between path nodes
static long
PathLength(Path p)
{
long len = -1;
ASSERT(p != nil);
ASSERT(p != gkLastPath);
ASSERT(p != gkLastSQ);
do   {
p = NextPathOf(p);
++len;
} while (p != gkLastPath);
return len;
}

//----//----//----//----//----//----//
// Record the segments that make of this (newer) better path
// The path is from end to start, so work backwards
// NOTE: this will fail if the path is size zero
static void
RecordPath(Segment s[], long *sCount, Path path,
const Point3D p[], const Triangle t[], const long tCount)
{
double xE, yE, xS, yS;
long len = *sCount = PathLength(path);
long triNum;
xE = p[IdxOfPath(path)].thePoint.x;
yE = p[IdxOfPath(path)].thePoint.y;
ASSERT(len > 0);
do   {
path = NextPathOf(path);
len-;
xS = p[IdxOfPath(path)].thePoint.x;
yS = p[IdxOfPath(path)].thePoint.y;
triNum = FindTriangleContaining(p, t,
tCount, xS, yS, xE, yE);
ASSERT(triNum != kNoTriangle);
s[len].theTriangleNum   = triNum;
s[len].startingPoint.x   = xS;
s[len].startingPoint.y   = yS;
s[len].endingPoint.x   = xE;
s[len].endingPoint.y   = yE;
xE = xS;
yE = yS;
} while (len > 0);
}

#if MYDEBUG
static long
FindPtInTriangle(const Point3D p[], const PointNum pn[3],
double x, double y)
{
long j;
for (j = 0; j < 3; j++)
{
long pti = PtNumToIdx(pn[j]);
if (p[pti].thePoint.x == x &&
p[pti].thePoint.y == y)
return pn[j];
}
DebugStr("\p couldn't find point in triangle!");
return -1;
}

static void
PrintPath(Segment s[], long sCount, const Point3D p[], const Triangle t[])
{
long i;
for (i = 0; i < sCount; i++)
{
long triNum, ptNumFrom, ptNumTo;
triNum = s[i].theTriangleNum;
ptNumFrom = FindPtInTriangle(p, t[triNum].thePoints,
s[i].startingPoint.x, s[i].startingPoint.y);
ptNumTo   = FindPtInTriangle(p, t[triNum].thePoints,
s[i].endingPoint.x,   s[i].endingPoint.y);
printf("seg %d \t%d \t%d \t%d",
i, triNum, ptNumFrom, ptNumTo);
printf(" cost=%f\n",
CostBetween(PtNumToIdx(ptNumFrom), PtNumToIdx(ptNumTo), p));
}
}
#endif

EvaluateFinishedPath
// Deal with a path to the end point
// If it is a better path,
//      record it, release the old best path, and return the new value
//   otherwise
//      release the path (it wasn't better), and return the old value
// Return the current best path in *bestPath
static double
EvaluateFinishedPath(Segment s[], long *sCount,
const Point3D p[], const Triangle t[], const long tCount,
Path path, Path *bestPath, double bestCost)
{
double newCost;
newCost = CostOfPath(path);
if (newCost < bestCost)
{   // found a better path to end!!
RecordPath(s, sCount, path, p, t, tCount);
#if MYDEBUG
printf("better path:\n");
PrintPath(s, *sCount, p, t);
#endif
bestCost = newCost;
ASSERT(bestPath != nil);
if (*bestPath != nil)
ReleasePath(*bestPath);
*bestPath = path;
}
else
ReleasePath(path);
return bestCost;
}

ExpandSearch
// Expand the search from the given path endpoint 'path'
// Expand by following each node that is neighbor to 'path'
// Expand just one level, then return.
static void
ExpandSearch(SearchQueuePtr qp, const Point3D p[],
Path path, long pathIdx, double bestCost)
{
long follow;
// expand search from partial path ending at 'path'
{
double newCost;
Path followPath = Idx2Path(follow);
// don't go back on yourself (problem with neighbor logic)
if (RefCountOf(followPath) > 0)
{         // it's an interior node,
// should not be in search path
continue;   // skip it
}
newCost = CostOfPath(path) + CostBetween(pathIdx, follow, p);
if (newCost < bestCost)
{   // survived cutoff
if (newCost >= CostOfPath(followPath))
// new path not an improvement
continue;
else   // remove to add in proper (sorted) place
RemoveFromSearchQueue(qp, followPath);
}
}
}

SearchAlternatePath
// Search for a better path from start to end than the
//   through-the-center route already in theSegments
// If found, fill in theSegments and return its length
//   else, just return the old length (sCount)
static long
SearchAlternatePath(Segment s[], long sCount,
const Point3D p[], const long pCount,
const Triangle t[], const long tCount,
long ptIdxStart, long ptIdxEnd)
{
double bestCost = CostOfSegmentPath(s, sCount, p, pCount);
SearchQueue q;
Path pathStartPtr, bestPath = nil;
InitSearchQueue(&q, pCount);
pathStartPtr = MakeFirstPath(ptIdxStart);
do   {
Path path = RemoveBestElem(&q);
long pathIdx = IdxOfPath(path);
if (pathIdx == ptIdxEnd)   // found a path to end!
bestCost = EvaluateFinishedPath(s, &sCount,
p, t, tCount, path, &bestPath, bestCost);
else
ExpandSearch(&q, p, path, pathIdx, bestCost);
} while (!IsEmptySearchQueue(&q));
DeInitSearchQueue(&q);
return sCount;
}

FindAPath
// Find a minimal cost path between the two points
// First:
// Connect the start to the middle
// Connect the middle to the end
// Then:
// Do a breadth-first search from start
// Use the simple through-the-center path as an optimizing cutoff
long /*numSegments*/
FindAPath(
const Point3D thePoints[],
long numPoints,
const Triangle theTriangles[],
long numTriangles,
const Point2D pathStart,
const Point2D pathEnd,
Segment theSegments[]
) {
#pragma unused (numPoints)
double x1, y1, xc, yc;
long numSegments = 0;
long triNumStart, triNumEnd;
PointNum ptIdxStart, ptIdxEnd;
x1 = pathStart.x;
y1 = pathStart.y;
xc = thePoints[gCenterIdx].thePoint.x;
yc = thePoints[gCenterIdx].thePoint.y;
triNumStart = FindTriangleContaining(thePoints, theTriangles,
numTriangles, x1, y1, xc, yc);
if (triNumStart != kNoTriangle)
// triNum == kNoTriangle means pathStart IS center
{
theSegments[0].theTriangleNum   = triNumStart;
theSegments[0].startingPoint   = pathStart;
theSegments[0].endingPoint.x   = xc;
theSegments[0].endingPoint.y   = yc;
numSegments = 1;
}
ptIdxStart = FindPtIdx(thePoints, numPoints, x1, y1);
x1 = pathEnd.x;
y1 = pathEnd.y;
triNumEnd = FindTriangleContaining(thePoints, theTriangles,
numTriangles, x1, y1, xc, yc);
if (triNumEnd != kNoTriangle)
// triNum == kNoTriangle means pathEnd IS center
{
theSegments[numSegments].theTriangleNum   = triNumEnd;
theSegments[numSegments].startingPoint.x   = xc;
theSegments[numSegments].startingPoint.y   = yc;
theSegments[numSegments].endingPoint       = pathEnd;
numSegments++;
}
#if MYDEBUG
printf("starting point: %f, %f\n", pathStart.x, pathStart.y);
printf("ending point:   %f, %f\n", pathEnd.x,   pathEnd.y);
printf("initial path through center:\n");
PrintPath(theSegments, numSegments, thePoints, theTriangles);
#endif
if (numSegments > 1)   // can't improve a path of length one
{
ptIdxEnd = FindPtIdx(thePoints, numPoints, x1, y1);
numSegments = SearchAlternatePath(theSegments, numSegments,
thePoints, numPoints,
theTriangles, numTriangles,
ptIdxStart, ptIdxEnd);
}
// else SearchAlternatePath is unnecessary (and fails!)
return numSegments;
}
```

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Ableton Live lets you create and record music on your Mac. Use digital instruments, pre-recorded sounds, and sampled loops to arrange, produce, and perform your music like never before. Ableton Live... Read more
Macs Fan Control 1.3.1.0 - Monitor and c...
Macs Fan Control allows you to monitor and control almost any aspect of your computer's fans, with support for controlling fan speed, temperature sensors pane, menu-bar icon, and autostart with... Read more

Latest Forum Discussions

This Week at 148Apps: August 24-28, 2015
The Apps of August With 148Apps How do you know what apps are worth your time and money? Just look to the review team at 148Apps. We sort through the chaos and find the apps you're looking for. The ones we love become Editor’s Choice, standing out... | Read more »
NASCAR in Real Racing 3? Sure, Why Not?
I have to give Firemonkeys credit - it's very cool of them to add NASCAR to Real Racing 3 via an update rather than making a separate game for it. But that's a different discussion for another time; for now let's sit back and enjoy driving in... | Read more »
The nuyu is an Inexpensive Activity Moni...
Today, Health o Meter nuyu has announced a series of health and fitness-related products, including the aforementioned activity monitor along with a wireless scale. All at a decent pricepoint, no less. [Read more] | Read more »
The Makers of Overkill are Trying Someth...
Craneballs, the studio responsible for the Overkill series, is taking a little break from all that violence (a little break) to bring us Cube Worm - a 3D take on one of the most classic PC/calculator games in existence. [Read more] | Read more »
The Sandbox Welcomes Cutethulu in its La...
Another month, another update to Pixowl's The Sandbox. This time players can say hello to "Cutethulu" - an adorable little rendition of perhaps the most well known (and infamous) of the Elder Gods. [Read more] | Read more »
ReBoard: Revolutionary Keyboard (Utilit...
ReBoard: Revolutionary Keyboard 1.0 Device: iOS Universal Category: Utilities Price: \$1.99, Version: 1.0 (iTunes) Description: Do everything within the keyboard without switching apps! If you are in WhatsApp, how do you schedule a... | Read more »
Tiny Empire (Games)
Tiny Empire 1.1.3 Device: iOS Universal Category: Games Price: \$2.99, Version: 1.1.3 (iTunes) Description: Launch cannonballs and blow tiny orcs into thousands of pieces in this intuitive fantasy-themed puzzle shooter! Embark on an... | Read more »
Astropad Mini 1.0 Device: iOS iPhone Category: Productivity Price: \$4.99, Version: 1.0 (iTunes) Description: *** 50% off introductory price! ​*** Get the high-end experience of a Wacom tablet at a fraction of the price with Astropad... | Read more »
Emo Chorus (Music)
Emo Chorus 1.0.0 Device: iOS Universal Category: Music Price: \$1.99, Version: 1.0.0 (iTunes) Description: Realistic Choir simulator ranging from simple Chorus emulation to full ensemble Choir with 128 members. ### introductory offer... | Read more »
Forest Spirit (Games)
Forest Spirit 1.0.5 Device: iOS Universal Category: Games Price: \$2.99, Version: 1.0.5 (iTunes) Description: | Read more »

Price Scanner via MacPrices.net

San Francisco’s WaterField Designs today unveiled their all-leather Cozmo 2.0 — an elegant attach laptop bag with carefully-designed features to suit any business environment. The Cozmo 2.0 is... Read more
Apple’s 2015 Back to School promotion: Free B...
Purchase a new Mac or iPad at The Apple Store for Education and take up to \$300 off MSRP. All teachers, students, and staff of any educational institution qualify for the discount. Shipping is free,... Read more
128GB MacBook Airs on sale for \$100 off MSRP,...
B&H Photo has 11″ & 13″ MacBook Airs with 128GB SSDs on sale for \$100 off MSRP. Shipping is free, and B&H charges NY sales tax only: - 11″ 1.6GHz/128GB MacBook Air: \$799.99, \$100 off MSRP... Read more
13-inch 2.5GHz MacBook Pro (refurbished) avai...
The Apple Store has Apple Certified Refurbished 13″ 2.5GHz MacBook Pros available for \$829, or \$270 off the cost of new models. Apple’s one-year warranty is standard, and shipping is free: - 13″ 2.... Read more
27-inch 3.2GHz iMac on sale for \$1679, save \$...
B&H Photo has the 27″ 3.2GHz iMac on sale for \$1679.99 including free shipping plus NY sales tax only. Their price is \$120 off MSRP. Read more
Apple and Cisco Partner to Deliver Fast-Lane...
Apple and Cisco have announced a partnership to create a “fast lane” for iOS business users by optimizing Cisco networks for iOS devices and apps. The alliance integrates iPhone with Cisco enterprise... Read more
Apple offering refurbished 2015 13-inch Retin...
The Apple Store is offering Apple Certified Refurbished 2015 13″ Retina MacBook Pros for up to \$270 (15%) off the cost of new models. An Apple one-year warranty is included with each model, and... Read more
Apple refurbished 2015 MacBook Airs available...
The Apple Store has Apple Certified Refurbished 2015 11″ and 13″ MacBook Airs (the latest models), available for up to \$180 off the cost of new models. An Apple one-year warranty is included with... Read more
21-inch iMacs on sale for up to \$120 off MSRP
B&H Photo has 21″ iMacs on sale for up to \$120 off MSRP including free shipping plus NY sales tax only: - 21″ 1.4GHz iMac: \$999.99 \$100 off - 21″ 2.7GHz iMac: \$1199.99 \$100 off - 21″ 2.9GHz iMac... Read more
5K iMacs on sale for up to \$150 off MSRP, fre...
B&H Photo has the 27″ 3.3GHz 5K iMac on sale for \$1899.99 including free shipping plus NY tax only. Their price is \$100 off MSRP. They have the 27″ 3.5GHz 5K iMac on sale for \$2149.99 \$2199.99, \$... Read more

Jobs Board

*Apple* Desktop Analyst - KDS Staffing (Unit...
…field and consistent professional recruiting achievement. Job Description: Title: Apple Desktop AnalystPosition Type: Full-time PermanentLocation: White Plains, NYHot Read more
Simply Mac- *Apple* Specialist- Store Manag...
Simply Mac is the largest premier retailer for Apple products and solutions. We're looking for dedicated individuals with a passion to simplify and enhance the Read more
*Apple* Evangelist - JAMF Software (United S...
The Apple Evangelist is responsible for building and cultivating strategic relationships with Apple 's small and mid-market business development field teams. This Read more
*Apple* Retail - Multiple Positions (US) - A...
Sales Specialist - Retail Customer Service and Sales Transform Apple Store visitors into loyal Apple customers. When customers enter the store, you're also the Read more
*Apple* Desktop Analyst - KDS Staffing (Unit...
…field and consistent professional recruiting achievement. Job Description: Title: Apple Desktop AnalystPosition Type: Full-time PermanentLocation: White Plains, NYHot Read more