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backtracking.pl
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290 lines (254 loc) · 8.18 KB
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world(9).
actor([0,0]).
:- dynamic([
shortestPath/1,
maxLength/1,
covid_1/1,
covid_2/1,
home/1,
mask/1,
doctor/1
]).
% RANDOMLY SET COVID ON THE MAP
set_covid :-
world(W),
random(0, W, X1),
random(0, W, Y1),
random(0, W, X2),
random(0, W, Y2),
(
(
(X1 == X2), (Y1==Y2); actor(A), adjacent(A, [X1,Y1]); actor(A), adjacent(A, [X2, Y2]); actor([X1, Y1]); actor([X2,Y2])
) -> set_covid, true;
assert(covid_1([X1, Y1])), assert(covid_2([X2, Y2]))
).
% RANDOMLY SET DOCTOR ON THE MAP
set_doctor :-
world(W),
random(0, W, X1),
random(0, W, Y1),
((is_in_covid([X1, Y1]); actor([X1,Y1])) -> set_doctor, true;
assert(doctor([X1, Y1]))).
% RANDOMLY SET MASK ON THE MAP
set_mask :-
world(W),
random(0, W, X1),
random(0, W, Y1),
((is_in_covid([X1, Y1]); is_in_doctor([X1, Y1]); actor([X1,Y1]))-> set_mask, true;
assert(mask([X1, Y1]))).
% RANDOMLY SET HOME ON THE MAP
set_home :-
world(W),
random(0, W, X1),
random(0, W, Y1),
((is_in_covid([X1, Y1]); is_in_doctor([X1, Y1]); is_in_mask([X1, Y1]); actor([X1,Y1]))-> set_home, true;
assert(home([X1, Y1]))).
% CREATE MAP RANDOMLY
make_map :-
set_covid,
set_doctor,
set_mask,
set_home.
% CHECK WHETHER GIVE POSITION IS VALID
is_valid_pos([X, Y]):- X >= 0, Y >= 0, world(W), X < W, Y < W.
% FIND ADJACENT POINT OF THE GIVEN ONE
adjacent([X, Y], [X, Y1]):- Y1 is Y - 1, is_valid_pos([X, Y1]).
adjacent([X, Y], [X, Y1]):- Y1 is Y + 1, is_valid_pos([X, Y1]).
adjacent([X, Y], [X1, Y]):- X1 is X - 1, is_valid_pos([X1, Y]).
adjacent([X, Y], [X1, Y]):- X1 is X + 1, is_valid_pos([X1, Y]).
adjacent([X, Y], [X1, Y1]):- X1 is X - 1, Y1 is Y - 1, is_valid_pos([X1, Y1]).
adjacent([X, Y], [X1, Y1]):- X1 is X - 1, Y1 is Y + 1, is_valid_pos([X1, Y1]).
adjacent([X, Y], [X1, Y1]):- X1 is X + 1, Y1 is Y - 1, is_valid_pos([X1, Y1]).
adjacent([X, Y], [X1, Y1]):- X1 is X + 1, Y1 is Y + 1, is_valid_pos([X1, Y1]).
% CHECK WHETHER POINT CONTAINS HOME/DOC/MASK/COVID
is_in_home(Point) :- home(Point).
is_in_doctor(Point) :- doctor(Point).
is_in_mask(Point) :- mask(Point).
is_in_covid([X,Y]) :- covid_1([X,Y]).
is_in_covid([X,Y]) :- covid_2([X,Y]).
is_in_covid(Point) :- covid_1(C), adjacent(C, Point).
is_in_covid(Point) :- covid_2(C), adjacent(C, Point).
% !FOR 2ND VARIANT OF PERCEPTION!
% CHECK IS COVID NEAR ADJACENTS
% is_covid_near_adjacents(Point) :-
% adjacent(Point, Adj),
% adjacent(Adj, AdjOfAdj),
% is_in_covid(AdjOfAdj).
% SET PRIORITY TO THE POINT
priority(Original, Point, Priority):-
get_length_to_home(Original, OriginalD),
get_length_to_home(Point, PointD),
Priority is OriginalD - PointD.
% GET ADJACENT POINT WITHOUT COVID AND WITH PRIORITY
prior_adjacent(Original, [A, Priority], IsVaccinated):-
IsVaccinated == 0,
adjacent(Original, A),
\+ is_in_covid(A),
priority(Original, A, Priority).
% GET ANY ADJACENT POINT WITH PRIORITY
prior_adjacent(Original, [A, Priority], IsVaccinated):-
IsVaccinated == 1,
adjacent(Original, A),
priority(Original, A, Priority).
% GET ADJACENT POINTS IN A PRIORITIZED ORDER
prior_adjacents(Original, Adjacents, IsVaccinated):-
bagof(A, prior_adjacent(Original, A, IsVaccinated), As),
sort(2, >=, As, Adjacents).
% PARSE ADJACENT LIST AND GET ALL POINT FROM IT
get_point_from_adj_list(List, Point):- nth1(1, List, Point).
get_point_from_adj_list(List, Point):- nth1(2, List, Point).
get_point_from_adj_list(List, Point):- nth1(3, List, Point).
get_point_from_adj_list(List, Point):- nth1(4, List, Point).
get_point_from_adj_list(List, Point):- nth1(5, List, Point).
get_point_from_adj_list(List, Point):- nth1(6, List, Point).
get_point_from_adj_list(List, Point):- nth1(7, List, Point).
get_point_from_adj_list(List, Point):- nth1(8, List, Point).
% SHORTEST DISTANCE TO THE HOME
% (DIRECTLY, IGNORING COVID)
get_length_to_home([X,Y], Len) :-
home([X1, Y1]),
Len is max(abs(X1 - X), abs(Y1 - Y)).
% CHECK AND SET THE NEW FOUND PATH TO THE HOME AS THE SHORTEST ONE
%% IF THERE IS NO PATH TO HOME YET
%% THEN JUST SET NEW AS SHORTEST
set_shortest_path(Path):-
\+ shortestPath(_),
length(Path, L),
retractall(maxLength(_)),
assert(maxLength(L)),
assert(shortestPath(Path)).
%% IF THERE IS ALREADY PATH TO HOME
%% THEN COMPARE LENGTH OF THE OLD PATH WITH THE NEW ONE
set_shortest_path(Path):-
shortestPath(X),
length(X, L1),
length(Path, L2),
L2 < L1,
retractall(maxLength(_)),
assert(maxLength(L2)),
retractall(shortestPath(_)),
assert(shortestPath(Path)).
% CHECK WHETHER GIVEN PATH IS ALREADY LONGER THAN THE SHORTEST PATH
compare_len_with_max(Path, _) :-
length(Path, Len),
Len == 0.
compare_len_with_max(Path, Point) :-
length(Path, Len),
maxLength(Max),
get_length_to_home(Point, LenToHome),
LenToHome + Len - 1 =< Max.
% RECURSIVE SEARCH OF THE PATH TO THE HOME
%% IF WE ARE IN THE HOME CELL
%% THEN COMPARE PATH LENGTH WITH THE LENGTH OF EARLIER OBTAINED ONE
backtracking(Point, OldPath, _) :-
is_in_home(Point),
append(OldPath, [Point], NewPath),
compare_len_with_max(OldPath, Point),
set_shortest_path(NewPath).
%% IF WE ARE IN THE MASK OR IN THE DOCTOR
%% THEN WE CAN GO THROUGH ANY POINT IN THE FUTURE (INCLUDING COVID)
backtracking(Point, OldPath, _) :-
(
(is_in_mask(Point); is_in_doctor(Point)) -> true
),
% !FOR 2ND VARIANT OF PERCEPTION!
% (
% (is_covid_near_adjacents(Point)) -> true; true
% ),
\+ member(Point, OldPath),
compare_len_with_max(OldPath, Point),
append(OldPath, [Point], NewPath),
prior_adjacents(Point, Adjacents, 1),
get_point_from_adj_list(Adjacents, [Point1, _]),
backtracking(Point1, NewPath, 1).
%% IF WE ARE PROTECTED FROM THE COVID
%% THEN WE CAN GO THROUGH ANY POINT (INCLUDING COVID)
backtracking(Point, OldPath, 1) :-
\+ member(Point, OldPath),
compare_len_with_max(OldPath, Point),
% !FOR 2ND VARIANT OF PERCEPTION!
% (
% (is_covid_near_adjacents(Point)) -> true; true
% ),
append(OldPath, [Point], NewPath),
prior_adjacents(Point, Adjacents, 1),
get_point_from_adj_list(Adjacents, [Point1, _]),
backtracking(Point1, NewPath, 1).
%% IF WE ARE NOT PROTECTED FROM THE COVID
%% THEN WE CAN GO THROUGH ANY POINT EXCEPT COVID ONE
backtracking(Point, OldPath, 0) :-
\+ member(Point, OldPath),
compare_len_with_max(OldPath, Point),
% !FOR 2ND VARIANT OF PERCEPTION!
% (
% (is_covid_near_adjacents(Point)) -> true; true
% ),
append(OldPath, [Point], NewPath),
prior_adjacents(Point, Adjacents, 0),
get_point_from_adj_list(Adjacents, [Point1, _]),
backtracking(Point1, NewPath, 0).
% DRAWING MAP
draw_cell(Point) :-
shortestPath(X),
member(Point, X),
\+ home(Point),
\+ actor(Point),
write('+ '), !.
draw_cell(Point) :-
actor(Point),
write('A '), !.
draw_cell(Point) :-
is_in_covid(Point),
write('C '), !.
draw_cell(Point) :-
is_in_doctor(Point),
write('D '), !.
draw_cell(Point) :-
is_in_mask(Point),
write('M '), !.
draw_cell(Point) :-
is_in_home(Point),
write('H '), !.
draw_cell(_) :-
write('. '), !.
draw_row([X, Y]):-
world(W),
X < W,
draw_cell([X, Y]),
X1 is X+1,
draw_row([X1, Y]).
draw_map([X,Y]) :-
Y >= 0,
\+ draw_row([X, Y]),
nl,
Y1 is Y-1,
draw_map([X, Y1]).
main :-
% INITIALIZATION OF THE WORLD
make_map,
world(W),
actor(A),
Max is 2 * W, % max size of the path to the home
SIZE is W - 1,
assert(maxLength(Max)),
\+ draw_map([0, SIZE]),
format('~nSearching...~n~n'),
% START ALGORITHM AND OUTPUT THE RESULT
get_time(T1),
(setof(_, backtracking(A, [], 0), _) ->
\+ draw_map([0, SIZE]),
shortestPath(X), length(X, Count),
Len is Count - 1,
format('Win! Result path: ~w~nLength of the path: ~d', [X, Len]);
write('Loss! No path'), true),
get_time(T2),
T is T2 - T1,
format('~nTime spent: ~w~n~n', [T]),
% CLEARING DYNAMIC FACTS
retractall(covid_1(_)),
retractall(covid_2(_)),
retractall(home(_)),
retractall(doctor(_)),
retractall(mask(_)),
retractall(shortestPath(_)),
retractall(maxLength(_)).