author | nemo |
Fri, 29 Oct 2010 16:31:37 -0400 | |
changeset 4015 | 2897cf5730e7 |
parent 3697 | d5b30d6373fc |
child 4357 | a1fcfc341a52 |
permissions | -rw-r--r-- |
4 | 1 |
(* |
1066 | 2 |
* Hedgewars, a free turn based strategy game |
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Update (c) lines to 2010 as unc0rr requested - they all had varying values so I just took the first year mentioned, then tacked on -2010
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|
3 |
* Copyright (c) 2005-2010 Andrey Korotaev <unC0Rr@gmail.com> |
4 | 4 |
* |
183 | 5 |
* This program is free software; you can redistribute it and/or modify |
6 |
* it under the terms of the GNU General Public License as published by |
|
7 |
* the Free Software Foundation; version 2 of the License |
|
4 | 8 |
* |
183 | 9 |
* This program is distributed in the hope that it will be useful, |
10 |
* but WITHOUT ANY WARRANTY; without even the implied warranty of |
|
11 |
* MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the |
|
12 |
* GNU General Public License for more details. |
|
4 | 13 |
* |
183 | 14 |
* You should have received a copy of the GNU General Public License |
15 |
* along with this program; if not, write to the Free Software |
|
16 |
* Foundation, Inc., 59 Temple Place - Suite 330, Boston, MA 02111-1307, USA |
|
4 | 17 |
*) |
18 |
||
2630 | 19 |
{$INCLUDE "options.inc"} |
20 |
||
4 | 21 |
unit uCollisions; |
22 |
interface |
|
351 | 23 |
uses uGears, uFloat; |
2630 | 24 |
|
53 | 25 |
const cMaxGearArrayInd = 255; |
4 | 26 |
|
70 | 27 |
type PGearArray = ^TGearArray; |
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28 |
TGearArray = record |
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ar: array[0..cMaxGearArrayInd] of PGear; |
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Count: Longword |
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31 |
end; |
4 | 32 |
|
3038 | 33 |
procedure initModule; |
34 |
procedure freeModule; |
|
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35 |
|
53 | 36 |
procedure AddGearCI(Gear: PGear); |
37 |
procedure DeleteCI(Gear: PGear); |
|
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38 |
|
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function CheckGearsCollision(Gear: PGear): PGearArray; |
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40 |
|
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41 |
function TestCollisionXwithGear(Gear: PGear; Dir: LongInt): boolean; |
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42 |
function TestCollisionYwithGear(Gear: PGear; Dir: LongInt): boolean; |
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43 |
|
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function TestCollisionXKick(Gear: PGear; Dir: LongInt): boolean; |
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function TestCollisionYKick(Gear: PGear; Dir: LongInt): boolean; |
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function TestCollisionY(Gear: PGear; Dir: LongInt): boolean; |
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48 |
|
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49 |
function TestCollisionXwithXYShift(Gear: PGear; ShiftX: hwFloat; ShiftY: LongInt; Dir: LongInt): boolean; |
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function TestCollisionYwithXYShift(Gear: PGear; ShiftX, ShiftY: LongInt; Dir: LongInt): boolean; |
4 | 51 |
|
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52 |
function calcSlopeTangent(Gear: PGear; collisionX, collisionY: LongInt; var outDeltaX, outDeltaY: LongInt; TestWord: LongWord): Boolean; |
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add a part of my landslide vector collision and use if for the portal gun DirAngle, not flawless yet
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53 |
|
4 | 54 |
implementation |
3407 | 55 |
uses uMisc, uConsts, uLand, uLandGraphics; |
4 | 56 |
|
53 | 57 |
type TCollisionEntry = record |
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X, Y, Radius: LongInt; |
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cGear: PGear; |
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60 |
end; |
351 | 61 |
|
906 | 62 |
const MAXRECTSINDEX = 511; |
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63 |
var Count: Longword; |
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64 |
cinfos: array[0..MAXRECTSINDEX] of TCollisionEntry; |
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65 |
ga: TGearArray; |
4 | 66 |
|
53 | 67 |
procedure AddGearCI(Gear: PGear); |
68 |
begin |
|
511 | 69 |
if Gear^.CollisionIndex >= 0 then exit; |
4 | 70 |
TryDo(Count <= MAXRECTSINDEX, 'Collision rects array overflow', true); |
53 | 71 |
with cinfos[Count] do |
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72 |
begin |
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X:= hwRound(Gear^.X); |
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Y:= hwRound(Gear^.Y); |
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75 |
Radius:= Gear^.Radius; |
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Revert prior attempted optimisation. Gridding the land pays in some situations, but not all. Restricting to an upper bound might help, but overall, seems too fuzzy to be worth it. On one side is increased cost of Add/Delete + extra test on collision check, on the other is skipping the list iteration. Perhaps for large lists.
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76 |
ChangeRoundInLand(X, Y, Radius - 1, true); |
c509bbc779e7
Revert prior attempted optimisation. Gridding the land pays in some situations, but not all. Restricting to an upper bound might help, but overall, seems too fuzzy to be worth it. On one side is increased cost of Add/Delete + extra test on collision check, on the other is skipping the list iteration. Perhaps for large lists.
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77 |
cGear:= Gear |
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78 |
end; |
511 | 79 |
Gear^.CollisionIndex:= Count; |
4 | 80 |
inc(Count) |
81 |
end; |
|
82 |
||
53 | 83 |
procedure DeleteCI(Gear: PGear); |
4 | 84 |
begin |
511 | 85 |
if Gear^.CollisionIndex >= 0 then |
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86 |
begin |
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with cinfos[Gear^.CollisionIndex] do |
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Revert prior attempted optimisation. Gridding the land pays in some situations, but not all. Restricting to an upper bound might help, but overall, seems too fuzzy to be worth it. On one side is increased cost of Add/Delete + extra test on collision check, on the other is skipping the list iteration. Perhaps for large lists.
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88 |
ChangeRoundInLand(X, Y, Radius - 1, false); |
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89 |
cinfos[Gear^.CollisionIndex]:= cinfos[Pred(Count)]; |
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cinfos[Gear^.CollisionIndex].cGear^.CollisionIndex:= Gear^.CollisionIndex; |
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Gear^.CollisionIndex:= -1; |
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dec(Count) |
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93 |
end; |
4 | 94 |
end; |
95 |
||
53 | 96 |
function CheckGearsCollision(Gear: PGear): PGearArray; |
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97 |
var mx, my, tr: LongInt; |
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98 |
i: Longword; |
4 | 99 |
begin |
1506 | 100 |
CheckGearsCollision:= @ga; |
53 | 101 |
ga.Count:= 0; |
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Fix reading out of bounds of the collisions array. This fixes flying hedgehogs and not moving after explosion
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|
102 |
if Count = 0 then exit; |
351 | 103 |
mx:= hwRound(Gear^.X); |
104 |
my:= hwRound(Gear^.Y); |
|
4 | 105 |
|
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106 |
tr:= Gear^.Radius + 2; |
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107 |
|
3608
c509bbc779e7
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108 |
for i:= 0 to Pred(Count) do |
c509bbc779e7
Revert prior attempted optimisation. Gridding the land pays in some situations, but not all. Restricting to an upper bound might help, but overall, seems too fuzzy to be worth it. On one side is increased cost of Add/Delete + extra test on collision check, on the other is skipping the list iteration. Perhaps for large lists.
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109 |
with cinfos[i] do |
c509bbc779e7
Revert prior attempted optimisation. Gridding the land pays in some situations, but not all. Restricting to an upper bound might help, but overall, seems too fuzzy to be worth it. On one side is increased cost of Add/Delete + extra test on collision check, on the other is skipping the list iteration. Perhaps for large lists.
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|
110 |
if (Gear <> cGear) and |
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111 |
(sqr(mx - x) + sqr(my - y) <= sqr(Radius + tr)) then |
3608
c509bbc779e7
Revert prior attempted optimisation. Gridding the land pays in some situations, but not all. Restricting to an upper bound might help, but overall, seems too fuzzy to be worth it. On one side is increased cost of Add/Delete + extra test on collision check, on the other is skipping the list iteration. Perhaps for large lists.
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112 |
begin |
c509bbc779e7
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|
113 |
ga.ar[ga.Count]:= cinfos[i].cGear; |
c509bbc779e7
Revert prior attempted optimisation. Gridding the land pays in some situations, but not all. Restricting to an upper bound might help, but overall, seems too fuzzy to be worth it. On one side is increased cost of Add/Delete + extra test on collision check, on the other is skipping the list iteration. Perhaps for large lists.
nemo
parents:
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|
114 |
inc(ga.Count) |
c509bbc779e7
Revert prior attempted optimisation. Gridding the land pays in some situations, but not all. Restricting to an upper bound might help, but overall, seems too fuzzy to be worth it. On one side is increased cost of Add/Delete + extra test on collision check, on the other is skipping the list iteration. Perhaps for large lists.
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|
115 |
end |
4 | 116 |
end; |
117 |
||
371 | 118 |
function TestCollisionXwithGear(Gear: PGear; Dir: LongInt): boolean; |
119 |
var x, y, i: LongInt; |
|
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120 |
TestWord: LongWord; |
4 | 121 |
begin |
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122 |
if Gear^.IntersectGear <> nil then |
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123 |
with Gear^ do |
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124 |
if (hwRound(IntersectGear^.X) + IntersectGear^.Radius < hwRound(X) - Radius) or |
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125 |
(hwRound(IntersectGear^.X) - IntersectGear^.Radius > hwRound(X) + Radius) then |
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|
126 |
begin |
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127 |
IntersectGear:= nil; |
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|
128 |
TestWord:= 0 |
838 | 129 |
end else |
1966 | 130 |
TestWord:= 255 |
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131 |
else TestWord:= 0; |
838 | 132 |
|
351 | 133 |
x:= hwRound(Gear^.X); |
134 |
if Dir < 0 then x:= x - Gear^.Radius |
|
135 |
else x:= x + Gear^.Radius; |
|
1753 | 136 |
if (x and LAND_WIDTH_MASK) = 0 then |
4 | 137 |
begin |
351 | 138 |
y:= hwRound(Gear^.Y) - Gear^.Radius + 1; |
139 |
i:= y + Gear^.Radius * 2 - 2; |
|
4 | 140 |
repeat |
1753 | 141 |
if (y and LAND_HEIGHT_MASK) = 0 then |
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|
142 |
if Land[y, x] > TestWord then exit(true); |
4 | 143 |
inc(y) |
351 | 144 |
until (y > i); |
145 |
end; |
|
146 |
TestCollisionXwithGear:= false |
|
4 | 147 |
end; |
148 |
||
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|
149 |
function TestCollisionYwithGear(Gear: PGear; Dir: LongInt): boolean; |
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150 |
var x, y, i: LongInt; |
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151 |
TestWord: LongWord; |
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|
152 |
begin |
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|
153 |
if Gear^.IntersectGear <> nil then |
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|
154 |
with Gear^ do |
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|
155 |
if (hwRound(IntersectGear^.Y) + IntersectGear^.Radius < hwRound(Y) - Radius) or |
fcba7d7aea0d
Fix old bug with grenade(bomd, etc..) not colliding with attacking hedgehog
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|
156 |
(hwRound(IntersectGear^.Y) - IntersectGear^.Radius > hwRound(Y) + Radius) then |
fcba7d7aea0d
Fix old bug with grenade(bomd, etc..) not colliding with attacking hedgehog
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|
157 |
begin |
fcba7d7aea0d
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|
158 |
IntersectGear:= nil; |
fcba7d7aea0d
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|
159 |
TestWord:= 0 |
513
69e06d710d46
Moving hedgehog could get another hedgehog moving forward
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|
160 |
end else |
1966 | 161 |
TestWord:= 255 |
505
fcba7d7aea0d
Fix old bug with grenade(bomd, etc..) not colliding with attacking hedgehog
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|
162 |
else TestWord:= 0; |
fcba7d7aea0d
Fix old bug with grenade(bomd, etc..) not colliding with attacking hedgehog
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|
163 |
|
fcba7d7aea0d
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|
164 |
y:= hwRound(Gear^.Y); |
fcba7d7aea0d
Fix old bug with grenade(bomd, etc..) not colliding with attacking hedgehog
unc0rr
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diff
changeset
|
165 |
if Dir < 0 then y:= y - Gear^.Radius |
fcba7d7aea0d
Fix old bug with grenade(bomd, etc..) not colliding with attacking hedgehog
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diff
changeset
|
166 |
else y:= y + Gear^.Radius; |
1753 | 167 |
if (y and LAND_HEIGHT_MASK) = 0 then |
505
fcba7d7aea0d
Fix old bug with grenade(bomd, etc..) not colliding with attacking hedgehog
unc0rr
parents:
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diff
changeset
|
168 |
begin |
fcba7d7aea0d
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unc0rr
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504
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changeset
|
169 |
x:= hwRound(Gear^.X) - Gear^.Radius + 1; |
fcba7d7aea0d
Fix old bug with grenade(bomd, etc..) not colliding with attacking hedgehog
unc0rr
parents:
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diff
changeset
|
170 |
i:= x + Gear^.Radius * 2 - 2; |
fcba7d7aea0d
Fix old bug with grenade(bomd, etc..) not colliding with attacking hedgehog
unc0rr
parents:
504
diff
changeset
|
171 |
repeat |
1753 | 172 |
if (x and LAND_WIDTH_MASK) = 0 then |
505
fcba7d7aea0d
Fix old bug with grenade(bomd, etc..) not colliding with attacking hedgehog
unc0rr
parents:
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diff
changeset
|
173 |
if Land[y, x] > TestWord then exit(true); |
fcba7d7aea0d
Fix old bug with grenade(bomd, etc..) not colliding with attacking hedgehog
unc0rr
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diff
changeset
|
174 |
inc(x) |
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175 |
until (x > i); |
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|
176 |
end; |
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|
177 |
TestCollisionYwithGear:= false |
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|
178 |
end; |
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|
179 |
|
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|
180 |
function TestCollisionXKick(Gear: PGear; Dir: LongInt): boolean; |
3608
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|
181 |
var x, y, mx, my, i: LongInt; |
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|
182 |
flag: boolean; |
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|
183 |
begin |
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|
184 |
flag:= false; |
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|
185 |
x:= hwRound(Gear^.X); |
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|
186 |
if Dir < 0 then x:= x - Gear^.Radius |
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|
187 |
else x:= x + Gear^.Radius; |
1753 | 188 |
if (x and LAND_WIDTH_MASK) = 0 then |
513
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|
189 |
begin |
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|
190 |
y:= hwRound(Gear^.Y) - Gear^.Radius + 1; |
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|
191 |
i:= y + Gear^.Radius * 2 - 2; |
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|
192 |
repeat |
1753 | 193 |
if (y and LAND_HEIGHT_MASK) = 0 then |
1966 | 194 |
if Land[y, x] > 255 then exit(true) |
536 | 195 |
else if Land[y, x] <> 0 then flag:= true; |
513
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|
196 |
inc(y) |
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|
197 |
until (y > i); |
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|
198 |
end; |
538 | 199 |
TestCollisionXKick:= flag; |
513
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|
200 |
|
536 | 201 |
if flag then |
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|
202 |
begin |
538 | 203 |
if hwAbs(Gear^.dX) < cHHKick then exit; |
967 | 204 |
if (Gear^.State and gstHHJumping <> 0) |
205 |
and (hwAbs(Gear^.dX) < _0_4) then exit; |
|
206 |
||
513
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|
207 |
mx:= hwRound(Gear^.X); |
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|
208 |
my:= hwRound(Gear^.Y); |
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changeset
|
209 |
|
3608
c509bbc779e7
Revert prior attempted optimisation. Gridding the land pays in some situations, but not all. Restricting to an upper bound might help, but overall, seems too fuzzy to be worth it. On one side is increased cost of Add/Delete + extra test on collision check, on the other is skipping the list iteration. Perhaps for large lists.
nemo
parents:
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diff
changeset
|
210 |
for i:= 0 to Pred(Count) do |
c509bbc779e7
Revert prior attempted optimisation. Gridding the land pays in some situations, but not all. Restricting to an upper bound might help, but overall, seems too fuzzy to be worth it. On one side is increased cost of Add/Delete + extra test on collision check, on the other is skipping the list iteration. Perhaps for large lists.
nemo
parents:
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changeset
|
211 |
with cinfos[i] do |
c509bbc779e7
Revert prior attempted optimisation. Gridding the land pays in some situations, but not all. Restricting to an upper bound might help, but overall, seems too fuzzy to be worth it. On one side is increased cost of Add/Delete + extra test on collision check, on the other is skipping the list iteration. Perhaps for large lists.
nemo
parents:
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|
212 |
if (Gear <> cGear) and |
c509bbc779e7
Revert prior attempted optimisation. Gridding the land pays in some situations, but not all. Restricting to an upper bound might help, but overall, seems too fuzzy to be worth it. On one side is increased cost of Add/Delete + extra test on collision check, on the other is skipping the list iteration. Perhaps for large lists.
nemo
parents:
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diff
changeset
|
213 |
(sqr(mx - x) + sqr(my - y) <= sqr(Radius + Gear^.Radius + 2)) and |
c509bbc779e7
Revert prior attempted optimisation. Gridding the land pays in some situations, but not all. Restricting to an upper bound might help, but overall, seems too fuzzy to be worth it. On one side is increased cost of Add/Delete + extra test on collision check, on the other is skipping the list iteration. Perhaps for large lists.
nemo
parents:
3603
diff
changeset
|
214 |
((mx > x) xor (Dir > 0)) then |
c509bbc779e7
Revert prior attempted optimisation. Gridding the land pays in some situations, but not all. Restricting to an upper bound might help, but overall, seems too fuzzy to be worth it. On one side is increased cost of Add/Delete + extra test on collision check, on the other is skipping the list iteration. Perhaps for large lists.
nemo
parents:
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diff
changeset
|
215 |
if ((cGear^.Kind in [gtHedgehog, gtMine]) and ((Gear^.State and gstNotKickable) = 0)) or |
c509bbc779e7
Revert prior attempted optimisation. Gridding the land pays in some situations, but not all. Restricting to an upper bound might help, but overall, seems too fuzzy to be worth it. On one side is increased cost of Add/Delete + extra test on collision check, on the other is skipping the list iteration. Perhaps for large lists.
nemo
parents:
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diff
changeset
|
216 |
// only apply X kick if the barrel is knocked over |
c509bbc779e7
Revert prior attempted optimisation. Gridding the land pays in some situations, but not all. Restricting to an upper bound might help, but overall, seems too fuzzy to be worth it. On one side is increased cost of Add/Delete + extra test on collision check, on the other is skipping the list iteration. Perhaps for large lists.
nemo
parents:
3603
diff
changeset
|
217 |
((cGear^.Kind = gtExplosives) and ((cGear^.State and gsttmpflag) <> 0)) then |
c509bbc779e7
Revert prior attempted optimisation. Gridding the land pays in some situations, but not all. Restricting to an upper bound might help, but overall, seems too fuzzy to be worth it. On one side is increased cost of Add/Delete + extra test on collision check, on the other is skipping the list iteration. Perhaps for large lists.
nemo
parents:
3603
diff
changeset
|
218 |
begin |
c509bbc779e7
Revert prior attempted optimisation. Gridding the land pays in some situations, but not all. Restricting to an upper bound might help, but overall, seems too fuzzy to be worth it. On one side is increased cost of Add/Delete + extra test on collision check, on the other is skipping the list iteration. Perhaps for large lists.
nemo
parents:
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diff
changeset
|
219 |
with cGear^ do |
c509bbc779e7
Revert prior attempted optimisation. Gridding the land pays in some situations, but not all. Restricting to an upper bound might help, but overall, seems too fuzzy to be worth it. On one side is increased cost of Add/Delete + extra test on collision check, on the other is skipping the list iteration. Perhaps for large lists.
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parents:
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|
220 |
begin |
c509bbc779e7
Revert prior attempted optimisation. Gridding the land pays in some situations, but not all. Restricting to an upper bound might help, but overall, seems too fuzzy to be worth it. On one side is increased cost of Add/Delete + extra test on collision check, on the other is skipping the list iteration. Perhaps for large lists.
nemo
parents:
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diff
changeset
|
221 |
dX:= Gear^.dX; |
c509bbc779e7
Revert prior attempted optimisation. Gridding the land pays in some situations, but not all. Restricting to an upper bound might help, but overall, seems too fuzzy to be worth it. On one side is increased cost of Add/Delete + extra test on collision check, on the other is skipping the list iteration. Perhaps for large lists.
nemo
parents:
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diff
changeset
|
222 |
dY:= Gear^.dY * _0_5; |
c509bbc779e7
Revert prior attempted optimisation. Gridding the land pays in some situations, but not all. Restricting to an upper bound might help, but overall, seems too fuzzy to be worth it. On one side is increased cost of Add/Delete + extra test on collision check, on the other is skipping the list iteration. Perhaps for large lists.
nemo
parents:
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diff
changeset
|
223 |
State:= State or gstMoving; |
c509bbc779e7
Revert prior attempted optimisation. Gridding the land pays in some situations, but not all. Restricting to an upper bound might help, but overall, seems too fuzzy to be worth it. On one side is increased cost of Add/Delete + extra test on collision check, on the other is skipping the list iteration. Perhaps for large lists.
nemo
parents:
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diff
changeset
|
224 |
Active:= true |
c509bbc779e7
Revert prior attempted optimisation. Gridding the land pays in some situations, but not all. Restricting to an upper bound might help, but overall, seems too fuzzy to be worth it. On one side is increased cost of Add/Delete + extra test on collision check, on the other is skipping the list iteration. Perhaps for large lists.
nemo
parents:
3603
diff
changeset
|
225 |
end; |
c509bbc779e7
Revert prior attempted optimisation. Gridding the land pays in some situations, but not all. Restricting to an upper bound might help, but overall, seems too fuzzy to be worth it. On one side is increased cost of Add/Delete + extra test on collision check, on the other is skipping the list iteration. Perhaps for large lists.
nemo
parents:
3603
diff
changeset
|
226 |
DeleteCI(cGear); |
c509bbc779e7
Revert prior attempted optimisation. Gridding the land pays in some situations, but not all. Restricting to an upper bound might help, but overall, seems too fuzzy to be worth it. On one side is increased cost of Add/Delete + extra test on collision check, on the other is skipping the list iteration. Perhaps for large lists.
nemo
parents:
3603
diff
changeset
|
227 |
exit(false) |
c509bbc779e7
Revert prior attempted optimisation. Gridding the land pays in some situations, but not all. Restricting to an upper bound might help, but overall, seems too fuzzy to be worth it. On one side is increased cost of Add/Delete + extra test on collision check, on the other is skipping the list iteration. Perhaps for large lists.
nemo
parents:
3603
diff
changeset
|
228 |
end |
c509bbc779e7
Revert prior attempted optimisation. Gridding the land pays in some situations, but not all. Restricting to an upper bound might help, but overall, seems too fuzzy to be worth it. On one side is increased cost of Add/Delete + extra test on collision check, on the other is skipping the list iteration. Perhaps for large lists.
nemo
parents:
3603
diff
changeset
|
229 |
end |
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parents:
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diff
changeset
|
230 |
end; |
69e06d710d46
Moving hedgehog could get another hedgehog moving forward
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parents:
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diff
changeset
|
231 |
|
69e06d710d46
Moving hedgehog could get another hedgehog moving forward
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parents:
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diff
changeset
|
232 |
function TestCollisionYKick(Gear: PGear; Dir: LongInt): boolean; |
3608
c509bbc779e7
Revert prior attempted optimisation. Gridding the land pays in some situations, but not all. Restricting to an upper bound might help, but overall, seems too fuzzy to be worth it. On one side is increased cost of Add/Delete + extra test on collision check, on the other is skipping the list iteration. Perhaps for large lists.
nemo
parents:
3603
diff
changeset
|
233 |
var x, y, mx, my, i: LongInt; |
513
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diff
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|
234 |
flag: boolean; |
69e06d710d46
Moving hedgehog could get another hedgehog moving forward
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parents:
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diff
changeset
|
235 |
begin |
69e06d710d46
Moving hedgehog could get another hedgehog moving forward
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parents:
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diff
changeset
|
236 |
flag:= false; |
69e06d710d46
Moving hedgehog could get another hedgehog moving forward
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parents:
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diff
changeset
|
237 |
y:= hwRound(Gear^.Y); |
69e06d710d46
Moving hedgehog could get another hedgehog moving forward
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parents:
511
diff
changeset
|
238 |
if Dir < 0 then y:= y - Gear^.Radius |
69e06d710d46
Moving hedgehog could get another hedgehog moving forward
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parents:
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diff
changeset
|
239 |
else y:= y + Gear^.Radius; |
1753 | 240 |
if (y and LAND_HEIGHT_MASK) = 0 then |
513
69e06d710d46
Moving hedgehog could get another hedgehog moving forward
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parents:
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diff
changeset
|
241 |
begin |
69e06d710d46
Moving hedgehog could get another hedgehog moving forward
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parents:
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diff
changeset
|
242 |
x:= hwRound(Gear^.X) - Gear^.Radius + 1; |
69e06d710d46
Moving hedgehog could get another hedgehog moving forward
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parents:
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diff
changeset
|
243 |
i:= x + Gear^.Radius * 2 - 2; |
69e06d710d46
Moving hedgehog could get another hedgehog moving forward
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parents:
511
diff
changeset
|
244 |
repeat |
1753 | 245 |
if (x and LAND_WIDTH_MASK) = 0 then |
513
69e06d710d46
Moving hedgehog could get another hedgehog moving forward
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parents:
511
diff
changeset
|
246 |
if Land[y, x] > 0 then |
1966 | 247 |
if Land[y, x] > 255 then exit(true) |
536 | 248 |
else if Land[y, x] <> 0 then flag:= true; |
513
69e06d710d46
Moving hedgehog could get another hedgehog moving forward
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parents:
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diff
changeset
|
249 |
inc(x) |
69e06d710d46
Moving hedgehog could get another hedgehog moving forward
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parents:
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diff
changeset
|
250 |
until (x > i); |
69e06d710d46
Moving hedgehog could get another hedgehog moving forward
unc0rr
parents:
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diff
changeset
|
251 |
end; |
538 | 252 |
TestCollisionYKick:= flag; |
513
69e06d710d46
Moving hedgehog could get another hedgehog moving forward
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parents:
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diff
changeset
|
253 |
|
536 | 254 |
if flag then |
513
69e06d710d46
Moving hedgehog could get another hedgehog moving forward
unc0rr
parents:
511
diff
changeset
|
255 |
begin |
839 | 256 |
if hwAbs(Gear^.dY) < cHHKick then exit(true); |
967 | 257 |
if (Gear^.State and gstHHJumping <> 0) |
258 |
and (not Gear^.dY.isNegative) |
|
259 |
and (Gear^.dY < _0_4) then exit; |
|
260 |
||
513
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Moving hedgehog could get another hedgehog moving forward
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parents:
511
diff
changeset
|
261 |
mx:= hwRound(Gear^.X); |
69e06d710d46
Moving hedgehog could get another hedgehog moving forward
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parents:
511
diff
changeset
|
262 |
my:= hwRound(Gear^.Y); |
69e06d710d46
Moving hedgehog could get another hedgehog moving forward
unc0rr
parents:
511
diff
changeset
|
263 |
|
3608
c509bbc779e7
Revert prior attempted optimisation. Gridding the land pays in some situations, but not all. Restricting to an upper bound might help, but overall, seems too fuzzy to be worth it. On one side is increased cost of Add/Delete + extra test on collision check, on the other is skipping the list iteration. Perhaps for large lists.
nemo
parents:
3603
diff
changeset
|
264 |
for i:= 0 to Pred(Count) do |
c509bbc779e7
Revert prior attempted optimisation. Gridding the land pays in some situations, but not all. Restricting to an upper bound might help, but overall, seems too fuzzy to be worth it. On one side is increased cost of Add/Delete + extra test on collision check, on the other is skipping the list iteration. Perhaps for large lists.
nemo
parents:
3603
diff
changeset
|
265 |
with cinfos[i] do |
c509bbc779e7
Revert prior attempted optimisation. Gridding the land pays in some situations, but not all. Restricting to an upper bound might help, but overall, seems too fuzzy to be worth it. On one side is increased cost of Add/Delete + extra test on collision check, on the other is skipping the list iteration. Perhaps for large lists.
nemo
parents:
3603
diff
changeset
|
266 |
if (Gear <> cGear) and |
c509bbc779e7
Revert prior attempted optimisation. Gridding the land pays in some situations, but not all. Restricting to an upper bound might help, but overall, seems too fuzzy to be worth it. On one side is increased cost of Add/Delete + extra test on collision check, on the other is skipping the list iteration. Perhaps for large lists.
nemo
parents:
3603
diff
changeset
|
267 |
(sqr(mx - x) + sqr(my - y) <= sqr(Radius + Gear^.Radius + 2)) and |
c509bbc779e7
Revert prior attempted optimisation. Gridding the land pays in some situations, but not all. Restricting to an upper bound might help, but overall, seems too fuzzy to be worth it. On one side is increased cost of Add/Delete + extra test on collision check, on the other is skipping the list iteration. Perhaps for large lists.
nemo
parents:
3603
diff
changeset
|
268 |
((my > y) xor (Dir > 0)) then |
c509bbc779e7
Revert prior attempted optimisation. Gridding the land pays in some situations, but not all. Restricting to an upper bound might help, but overall, seems too fuzzy to be worth it. On one side is increased cost of Add/Delete + extra test on collision check, on the other is skipping the list iteration. Perhaps for large lists.
nemo
parents:
3603
diff
changeset
|
269 |
if (cGear^.Kind in [gtHedgehog, gtMine, gtExplosives]) and ((Gear^.State and gstNotKickable) = 0) then |
c509bbc779e7
Revert prior attempted optimisation. Gridding the land pays in some situations, but not all. Restricting to an upper bound might help, but overall, seems too fuzzy to be worth it. On one side is increased cost of Add/Delete + extra test on collision check, on the other is skipping the list iteration. Perhaps for large lists.
nemo
parents:
3603
diff
changeset
|
270 |
begin |
c509bbc779e7
Revert prior attempted optimisation. Gridding the land pays in some situations, but not all. Restricting to an upper bound might help, but overall, seems too fuzzy to be worth it. On one side is increased cost of Add/Delete + extra test on collision check, on the other is skipping the list iteration. Perhaps for large lists.
nemo
parents:
3603
diff
changeset
|
271 |
with cGear^ do |
c509bbc779e7
Revert prior attempted optimisation. Gridding the land pays in some situations, but not all. Restricting to an upper bound might help, but overall, seems too fuzzy to be worth it. On one side is increased cost of Add/Delete + extra test on collision check, on the other is skipping the list iteration. Perhaps for large lists.
nemo
parents:
3603
diff
changeset
|
272 |
begin |
c509bbc779e7
Revert prior attempted optimisation. Gridding the land pays in some situations, but not all. Restricting to an upper bound might help, but overall, seems too fuzzy to be worth it. On one side is increased cost of Add/Delete + extra test on collision check, on the other is skipping the list iteration. Perhaps for large lists.
nemo
parents:
3603
diff
changeset
|
273 |
if (Kind <> gtExplosives) or ((State and gsttmpflag) <> 0) then dX:= Gear^.dX * _0_5; |
c509bbc779e7
Revert prior attempted optimisation. Gridding the land pays in some situations, but not all. Restricting to an upper bound might help, but overall, seems too fuzzy to be worth it. On one side is increased cost of Add/Delete + extra test on collision check, on the other is skipping the list iteration. Perhaps for large lists.
nemo
parents:
3603
diff
changeset
|
274 |
dY:= Gear^.dY; |
c509bbc779e7
Revert prior attempted optimisation. Gridding the land pays in some situations, but not all. Restricting to an upper bound might help, but overall, seems too fuzzy to be worth it. On one side is increased cost of Add/Delete + extra test on collision check, on the other is skipping the list iteration. Perhaps for large lists.
nemo
parents:
3603
diff
changeset
|
275 |
State:= State or gstMoving; |
c509bbc779e7
Revert prior attempted optimisation. Gridding the land pays in some situations, but not all. Restricting to an upper bound might help, but overall, seems too fuzzy to be worth it. On one side is increased cost of Add/Delete + extra test on collision check, on the other is skipping the list iteration. Perhaps for large lists.
nemo
parents:
3603
diff
changeset
|
276 |
Active:= true |
c509bbc779e7
Revert prior attempted optimisation. Gridding the land pays in some situations, but not all. Restricting to an upper bound might help, but overall, seems too fuzzy to be worth it. On one side is increased cost of Add/Delete + extra test on collision check, on the other is skipping the list iteration. Perhaps for large lists.
nemo
parents:
3603
diff
changeset
|
277 |
end; |
c509bbc779e7
Revert prior attempted optimisation. Gridding the land pays in some situations, but not all. Restricting to an upper bound might help, but overall, seems too fuzzy to be worth it. On one side is increased cost of Add/Delete + extra test on collision check, on the other is skipping the list iteration. Perhaps for large lists.
nemo
parents:
3603
diff
changeset
|
278 |
DeleteCI(cGear); |
c509bbc779e7
Revert prior attempted optimisation. Gridding the land pays in some situations, but not all. Restricting to an upper bound might help, but overall, seems too fuzzy to be worth it. On one side is increased cost of Add/Delete + extra test on collision check, on the other is skipping the list iteration. Perhaps for large lists.
nemo
parents:
3603
diff
changeset
|
279 |
exit(false) |
c509bbc779e7
Revert prior attempted optimisation. Gridding the land pays in some situations, but not all. Restricting to an upper bound might help, but overall, seems too fuzzy to be worth it. On one side is increased cost of Add/Delete + extra test on collision check, on the other is skipping the list iteration. Perhaps for large lists.
nemo
parents:
3603
diff
changeset
|
280 |
end |
c509bbc779e7
Revert prior attempted optimisation. Gridding the land pays in some situations, but not all. Restricting to an upper bound might help, but overall, seems too fuzzy to be worth it. On one side is increased cost of Add/Delete + extra test on collision check, on the other is skipping the list iteration. Perhaps for large lists.
nemo
parents:
3603
diff
changeset
|
281 |
end |
513
69e06d710d46
Moving hedgehog could get another hedgehog moving forward
unc0rr
parents:
511
diff
changeset
|
282 |
end; |
69e06d710d46
Moving hedgehog could get another hedgehog moving forward
unc0rr
parents:
511
diff
changeset
|
283 |
|
498 | 284 |
function TestCollisionXwithXYShift(Gear: PGear; ShiftX: hwFloat; ShiftY: LongInt; Dir: LongInt): boolean; |
4 | 285 |
begin |
351 | 286 |
Gear^.X:= Gear^.X + ShiftX; |
498 | 287 |
Gear^.Y:= Gear^.Y + int2hwFloat(ShiftY); |
351 | 288 |
TestCollisionXwithXYShift:= TestCollisionXwithGear(Gear, Dir); |
289 |
Gear^.X:= Gear^.X - ShiftX; |
|
498 | 290 |
Gear^.Y:= Gear^.Y - int2hwFloat(ShiftY) |
4 | 291 |
end; |
292 |
||
371 | 293 |
function TestCollisionY(Gear: PGear; Dir: LongInt): boolean; |
294 |
var x, y, i: LongInt; |
|
68 | 295 |
begin |
351 | 296 |
y:= hwRound(Gear^.Y); |
297 |
if Dir < 0 then y:= y - Gear^.Radius |
|
298 |
else y:= y + Gear^.Radius; |
|
1753 | 299 |
if (y and LAND_HEIGHT_MASK) = 0 then |
68 | 300 |
begin |
351 | 301 |
x:= hwRound(Gear^.X) - Gear^.Radius + 1; |
302 |
i:= x + Gear^.Radius * 2 - 2; |
|
68 | 303 |
repeat |
1753 | 304 |
if (x and LAND_WIDTH_MASK) = 0 then |
1966 | 305 |
if Land[y, x] > 255 then exit(true); |
68 | 306 |
inc(x) |
351 | 307 |
until (x > i); |
308 |
end; |
|
309 |
TestCollisionY:= false |
|
68 | 310 |
end; |
311 |
||
371 | 312 |
function TestCollisionYwithXYShift(Gear: PGear; ShiftX, ShiftY: LongInt; Dir: LongInt): boolean; |
4 | 313 |
begin |
498 | 314 |
Gear^.X:= Gear^.X + int2hwFloat(ShiftX); |
315 |
Gear^.Y:= Gear^.Y + int2hwFloat(ShiftY); |
|
351 | 316 |
TestCollisionYwithXYShift:= TestCollisionYwithGear(Gear, Dir); |
498 | 317 |
Gear^.X:= Gear^.X - int2hwFloat(ShiftX); |
318 |
Gear^.Y:= Gear^.Y - int2hwFloat(ShiftY) |
|
4 | 319 |
end; |
320 |
||
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|
321 |
|
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|
322 |
function calcSlopeTangent(Gear: PGear; collisionX, collisionY: LongInt; var outDeltaX, outDeltaY: LongInt; TestWord: LongWord): boolean; |
3408 | 323 |
var ldx, ldy, rdx, rdy: LongInt; |
324 |
i, j, mx, my, li, ri, jfr, jto, tmpo : ShortInt; |
|
3401
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|
325 |
tmpx, tmpy: LongWord; |
3569 | 326 |
dx, dy, s: hwFloat; |
3408 | 327 |
offset: Array[0..7,0..1] of ShortInt; |
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add a part of my landslide vector collision and use if for the portal gun DirAngle, not flawless yet
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|
328 |
|
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|
329 |
begin |
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|
330 |
dx:= Gear^.dX; |
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|
331 |
dy:= Gear^.dY; |
3408 | 332 |
|
3569 | 333 |
// we start searching from the direction the gear came from |
334 |
if (dx.QWordValue > _0_995.QWordValue ) |
|
335 |
or (dy.QWordValue > _0_995.QWordValue ) then |
|
336 |
begin // scale |
|
337 |
s := _1 / Distance(dx,dy); |
|
338 |
dx := s * dx; |
|
339 |
dy := s * dy; |
|
340 |
end; |
|
341 |
||
3408 | 342 |
mx:= hwRound(Gear^.X-dx) - hwRound(Gear^.X); |
343 |
my:= hwRound(Gear^.Y-dy) - hwRound(Gear^.Y); |
|
344 |
||
345 |
li:= -1; |
|
346 |
ri:= -1; |
|
3569 | 347 |
|
3408 | 348 |
// go around collision pixel, checking for first/last collisions |
349 |
// this will determinate what angles will be tried to crawl along |
|
350 |
for i:= 0 to 7 do |
|
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|
351 |
begin |
3408 | 352 |
offset[i,0]:= mx; |
353 |
offset[i,1]:= my; |
|
3569 | 354 |
|
3408 | 355 |
tmpx:= collisionX + mx; |
356 |
tmpy:= collisionY + my; |
|
3401
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add a part of my landslide vector collision and use if for the portal gun DirAngle, not flawless yet
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|
357 |
|
3569 | 358 |
if (((tmpy) and LAND_HEIGHT_MASK) = 0) and (((tmpx) and LAND_WIDTH_MASK) = 0) then |
3408 | 359 |
if (Land[tmpy,tmpx] > TestWord) then |
360 |
begin |
|
361 |
// remember the index belonging to the first and last collision (if in 1st half) |
|
362 |
if (i <> 0) then |
|
363 |
begin |
|
364 |
if (ri = -1) then |
|
365 |
ri:= i |
|
366 |
else |
|
367 |
li:= i; |
|
368 |
end; |
|
369 |
end; |
|
3401
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add a part of my landslide vector collision and use if for the portal gun DirAngle, not flawless yet
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changeset
|
370 |
|
3408 | 371 |
if i = 7 then break; |
3401
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add a part of my landslide vector collision and use if for the portal gun DirAngle, not flawless yet
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changeset
|
372 |
|
3408 | 373 |
// prepare offset for next check (clockwise) |
3401
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add a part of my landslide vector collision and use if for the portal gun DirAngle, not flawless yet
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changeset
|
374 |
if (mx = -1) and (my <> -1) then my:= my - 1 |
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parents:
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changeset
|
375 |
else if (my = -1) and (mx <> 1) then mx:= mx + 1 |
d5d31d16eccc
add a part of my landslide vector collision and use if for the portal gun DirAngle, not flawless yet
sheepluva
parents:
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diff
changeset
|
376 |
else if (mx = 1) and (my <> 1) then my:= my + 1 |
d5d31d16eccc
add a part of my landslide vector collision and use if for the portal gun DirAngle, not flawless yet
sheepluva
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diff
changeset
|
377 |
else mx:= mx - 1; |
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add a part of my landslide vector collision and use if for the portal gun DirAngle, not flawless yet
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changeset
|
378 |
|
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add a part of my landslide vector collision and use if for the portal gun DirAngle, not flawless yet
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changeset
|
379 |
end; |
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add a part of my landslide vector collision and use if for the portal gun DirAngle, not flawless yet
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changeset
|
380 |
|
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add a part of my landslide vector collision and use if for the portal gun DirAngle, not flawless yet
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changeset
|
381 |
ldx:= collisionX; |
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changeset
|
382 |
ldy:= collisionY; |
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changeset
|
383 |
rdx:= collisionX; |
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add a part of my landslide vector collision and use if for the portal gun DirAngle, not flawless yet
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changeset
|
384 |
rdy:= collisionY; |
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add a part of my landslide vector collision and use if for the portal gun DirAngle, not flawless yet
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diff
changeset
|
385 |
|
3408 | 386 |
// edge-crawl |
387 |
for i:= 0 to 8 do |
|
3401
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add a part of my landslide vector collision and use if for the portal gun DirAngle, not flawless yet
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diff
changeset
|
388 |
begin |
3408 | 389 |
// using mx,my as temporary value buffer here |
3697 | 390 |
|
3408 | 391 |
jfr:= 8+li+1; |
392 |
jto:= 8+li-1; |
|
3401
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add a part of my landslide vector collision and use if for the portal gun DirAngle, not flawless yet
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diff
changeset
|
393 |
|
3408 | 394 |
for j:= jfr downto jto do |
3401
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add a part of my landslide vector collision and use if for the portal gun DirAngle, not flawless yet
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diff
changeset
|
395 |
begin |
3408 | 396 |
tmpo:= j mod 8; |
397 |
tmpx:= ldx + offset[tmpo,0]; |
|
398 |
tmpy:= ldy + offset[tmpo,1]; |
|
399 |
if (((tmpy) and LAND_HEIGHT_MASK) = 0) and (((tmpx) and LAND_WIDTH_MASK) = 0) |
|
400 |
and (Land[tmpy,tmpx] > TestWord) then |
|
3401
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add a part of my landslide vector collision and use if for the portal gun DirAngle, not flawless yet
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diff
changeset
|
401 |
begin |
d5d31d16eccc
add a part of my landslide vector collision and use if for the portal gun DirAngle, not flawless yet
sheepluva
parents:
3236
diff
changeset
|
402 |
ldx:= tmpx; |
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add a part of my landslide vector collision and use if for the portal gun DirAngle, not flawless yet
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3236
diff
changeset
|
403 |
ldy:= tmpy; |
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add a part of my landslide vector collision and use if for the portal gun DirAngle, not flawless yet
sheepluva
parents:
3236
diff
changeset
|
404 |
break; |
d5d31d16eccc
add a part of my landslide vector collision and use if for the portal gun DirAngle, not flawless yet
sheepluva
parents:
3236
diff
changeset
|
405 |
end; |
d5d31d16eccc
add a part of my landslide vector collision and use if for the portal gun DirAngle, not flawless yet
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3236
diff
changeset
|
406 |
end; |
3408 | 407 |
|
408 |
jfr:= 8+ri-1; |
|
409 |
jto:= 8+ri+1; |
|
3401
d5d31d16eccc
add a part of my landslide vector collision and use if for the portal gun DirAngle, not flawless yet
sheepluva
parents:
3236
diff
changeset
|
410 |
|
3408 | 411 |
for j:= jfr to jto do |
3401
d5d31d16eccc
add a part of my landslide vector collision and use if for the portal gun DirAngle, not flawless yet
sheepluva
parents:
3236
diff
changeset
|
412 |
begin |
3408 | 413 |
tmpo:= j mod 8; |
414 |
tmpx:= rdx + offset[tmpo,0]; |
|
415 |
tmpy:= rdy + offset[tmpo,1]; |
|
416 |
if (((tmpy) and LAND_HEIGHT_MASK) = 0) and (((tmpx) and LAND_WIDTH_MASK) = 0) |
|
417 |
and (Land[tmpy,tmpx] > TestWord) then |
|
3401
d5d31d16eccc
add a part of my landslide vector collision and use if for the portal gun DirAngle, not flawless yet
sheepluva
parents:
3236
diff
changeset
|
418 |
begin |
d5d31d16eccc
add a part of my landslide vector collision and use if for the portal gun DirAngle, not flawless yet
sheepluva
parents:
3236
diff
changeset
|
419 |
rdx:= tmpx; |
d5d31d16eccc
add a part of my landslide vector collision and use if for the portal gun DirAngle, not flawless yet
sheepluva
parents:
3236
diff
changeset
|
420 |
rdy:= tmpy; |
d5d31d16eccc
add a part of my landslide vector collision and use if for the portal gun DirAngle, not flawless yet
sheepluva
parents:
3236
diff
changeset
|
421 |
break; |
d5d31d16eccc
add a part of my landslide vector collision and use if for the portal gun DirAngle, not flawless yet
sheepluva
parents:
3236
diff
changeset
|
422 |
end; |
d5d31d16eccc
add a part of my landslide vector collision and use if for the portal gun DirAngle, not flawless yet
sheepluva
parents:
3236
diff
changeset
|
423 |
end; |
d5d31d16eccc
add a part of my landslide vector collision and use if for the portal gun DirAngle, not flawless yet
sheepluva
parents:
3236
diff
changeset
|
424 |
end; |
d5d31d16eccc
add a part of my landslide vector collision and use if for the portal gun DirAngle, not flawless yet
sheepluva
parents:
3236
diff
changeset
|
425 |
|
d5d31d16eccc
add a part of my landslide vector collision and use if for the portal gun DirAngle, not flawless yet
sheepluva
parents:
3236
diff
changeset
|
426 |
ldx:= rdx - ldx; |
d5d31d16eccc
add a part of my landslide vector collision and use if for the portal gun DirAngle, not flawless yet
sheepluva
parents:
3236
diff
changeset
|
427 |
ldy:= rdy - ldy; |
d5d31d16eccc
add a part of my landslide vector collision and use if for the portal gun DirAngle, not flawless yet
sheepluva
parents:
3236
diff
changeset
|
428 |
|
d5d31d16eccc
add a part of my landslide vector collision and use if for the portal gun DirAngle, not flawless yet
sheepluva
parents:
3236
diff
changeset
|
429 |
if ((ldx = 0) and (ldy = 0)) then EXIT(false); |
d5d31d16eccc
add a part of my landslide vector collision and use if for the portal gun DirAngle, not flawless yet
sheepluva
parents:
3236
diff
changeset
|
430 |
|
3414
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some portal changes, warning: no loop prevention yet, note: entry angle not preserved yet
sheepluva
parents:
3411
diff
changeset
|
431 |
outDeltaX:= ldx; |
b2f3bb44777e
some portal changes, warning: no loop prevention yet, note: entry angle not preserved yet
sheepluva
parents:
3411
diff
changeset
|
432 |
outDeltaY:= ldy; |
3408 | 433 |
exit(true); |
3401
d5d31d16eccc
add a part of my landslide vector collision and use if for the portal gun DirAngle, not flawless yet
sheepluva
parents:
3236
diff
changeset
|
434 |
end; |
d5d31d16eccc
add a part of my landslide vector collision and use if for the portal gun DirAngle, not flawless yet
sheepluva
parents:
3236
diff
changeset
|
435 |
|
3038 | 436 |
procedure initModule; |
2716
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complete the replacement of init/free wrappers for every unit
koda
parents:
2630
diff
changeset
|
437 |
begin |
2948
3f21a9dc93d0
Replace tabs with spaces using 'expand -t 4' command
unc0rr
parents:
2716
diff
changeset
|
438 |
Count:= 0; |
2716
b9ca1bfca24f
complete the replacement of init/free wrappers for every unit
koda
parents:
2630
diff
changeset
|
439 |
end; |
b9ca1bfca24f
complete the replacement of init/free wrappers for every unit
koda
parents:
2630
diff
changeset
|
440 |
|
3038 | 441 |
procedure freeModule; |
2716
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complete the replacement of init/free wrappers for every unit
koda
parents:
2630
diff
changeset
|
442 |
begin |
b9ca1bfca24f
complete the replacement of init/free wrappers for every unit
koda
parents:
2630
diff
changeset
|
443 |
|
b9ca1bfca24f
complete the replacement of init/free wrappers for every unit
koda
parents:
2630
diff
changeset
|
444 |
end; |
b9ca1bfca24f
complete the replacement of init/free wrappers for every unit
koda
parents:
2630
diff
changeset
|
445 |
|
4 | 446 |
end. |