- Notifications
You must be signed in to change notification settings - Fork 46.7k
/
Copy pathmatrix_based_game.py
284 lines (226 loc) · 8.37 KB
/
matrix_based_game.py
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
190
191
192
193
194
195
196
197
198
199
200
201
202
203
204
205
206
207
208
209
210
211
212
213
214
215
216
217
218
219
220
221
222
223
224
225
226
227
228
229
230
231
232
233
234
235
236
237
238
239
240
241
242
243
244
245
246
247
248
249
250
251
252
253
254
255
256
257
258
259
260
261
262
263
264
265
266
267
268
269
270
271
272
273
274
275
276
277
278
279
280
281
282
283
284
"""
Matrix-Based Game Script
=========================
This script implements a matrix-based game where players interact with a grid of
elements. The primary goals are to:
- Identify connected elements of the same type from a selected position.
- Remove those elements, adjust the matrix by simulating gravity, and reorganize empty
columns.
- Calculate and display the score based on the number of elements removed in each move.
Functions:
-----------
1. `find_repeat`: Finds all connected elements of the same type.
2. `increment_score`: Calculates the score for a given move.
3. `move_x`: Simulates gravity in a column.
4. `move_y`: Reorganizes the matrix by shifting columns leftward when a column becomes
empty.
5. `play`: Executes a single move, updating the matrix and returning the score.
Input Format:
--------------
1. Matrix size (`lines`): Integer specifying the size of the matrix (N x N).
2. Matrix content (`matrix`): Rows of the matrix, each consisting of characters.
3. Number of moves (`movs`): Integer indicating the number of moves.
4. List of moves (`movements`): A comma-separated string of coordinates for each move.
(0,0) position starts from first left column to last right, and below row to up row
Example Input:
---------------
4
RRBG
RBBG
YYGG
XYGG
2
0 1,1 1
Example (0,0) = X
Output:
--------
The script outputs the total score after processing all moves.
Usage:
-------
Run the script and provide the required inputs as prompted.
"""
defvalidate_matrix_size(size: int) ->None:
"""
>>> validate_matrix_size(-1)
Traceback (most recent call last):
...
ValueError: Matrix size must be a positive integer.
"""
ifnotisinstance(size, int) orsize<=0:
raiseValueError("Matrix size must be a positive integer.")
defvalidate_matrix_content(matrix: list[str], size: int) ->None:
"""
Validates that the number of elements in the matrix matches the given size.
>>> validate_matrix_content(['aaaa', 'aaaa', 'aaaa', 'aaaa'], 3)
Traceback (most recent call last):
...
ValueError: The matrix dont match with size.
>>> validate_matrix_content(['aa%', 'aaa', 'aaa'], 3)
Traceback (most recent call last):
...
ValueError: Matrix rows can only contain letters and numbers.
>>> validate_matrix_content(['aaa', 'aaa', 'aaaa'], 3)
Traceback (most recent call last):
...
ValueError: Each row in the matrix must have exactly 3 characters.
"""
print(matrix)
iflen(matrix) !=size:
raiseValueError("The matrix dont match with size.")
forrowinmatrix:
iflen(row) !=size:
msg=f"Each row in the matrix must have exactly {size} characters."
raiseValueError(msg)
ifnotall(char.isalnum() forcharinrow):
raiseValueError("Matrix rows can only contain letters and numbers.")
defvalidate_moves(moves: list[tuple[int, int]], size: int) ->None:
"""
>>> validate_moves([(1, 2), (-1, 0)], 3)
Traceback (most recent call last):
...
ValueError: Move is out of bounds for a matrix.
"""
formoveinmoves:
x, y=move
ifnot (0<=x<sizeand0<=y<size):
raiseValueError("Move is out of bounds for a matrix.")
defparse_moves(input_str: str) ->list[tuple[int, int]]:
"""
>>> parse_moves("0 1, 1 1")
[(0, 1), (1, 1)]
>>> parse_moves("0 1, 1 1, 2")
Traceback (most recent call last):
...
ValueError: Each move must have exactly two numbers.
>>> parse_moves("0 1, 1 1, 2 4 5 6")
Traceback (most recent call last):
...
ValueError: Each move must have exactly two numbers.
"""
moves= []
forpairininput_str.split(","):
parts=pair.strip().split()
iflen(parts) !=2:
raiseValueError("Each move must have exactly two numbers.")
x, y=map(int, parts)
moves.append((x, y))
returnmoves
deffind_repeat(
matrix_g: list[list[str]], row: int, column: int, size: int
) ->set[tuple[int, int]]:
"""
Finds all connected elements of the same type from a given position.
>>> find_repeat([['A', 'B', 'A'], ['A', 'B', 'A'], ['A', 'A', 'A']], 0, 0, 3)
{(1, 2), (2, 1), (0, 0), (2, 0), (0, 2), (2, 2), (1, 0)}
>>> find_repeat([['-', '-', '-'], ['-', '-', '-'], ['-', '-', '-']], 1, 1, 3)
set()
"""
column=size-1-column
visited=set()
repeated=set()
if (color:=matrix_g[column][row]) !="-":
defdfs(row_n: int, column_n: int) ->None:
ifrow_n<0orrow_n>=sizeorcolumn_n<0orcolumn_n>=size:
return
if (row_n, column_n) invisited:
return
visited.add((row_n, column_n))
ifmatrix_g[row_n][column_n] ==color:
repeated.add((row_n, column_n))
dfs(row_n-1, column_n)
dfs(row_n+1, column_n)
dfs(row_n, column_n-1)
dfs(row_n, column_n+1)
dfs(column, row)
returnrepeated
defincrement_score(count: int) ->int:
"""
Calculates the score for a move based on the number of elements removed.
>>> increment_score(3)
6
>>> increment_score(0)
0
"""
returnint(count* (count+1) /2)
defmove_x(matrix_g: list[list[str]], column: int, size: int) ->list[list[str]]:
"""
Simulates gravity in a specific column.
>>> move_x([['-', 'A'], ['-', '-'], ['-', 'C']], 1, 2)
[['-', '-'], ['-', 'A'], ['-', 'C']]
"""
new_list= []
forrowinrange(size):
ifmatrix_g[row][column] !="-":
new_list.append(matrix_g[row][column])
else:
new_list.insert(0, matrix_g[row][column])
forrowinrange(size):
matrix_g[row][column] =new_list[row]
returnmatrix_g
defmove_y(matrix_g: list[list[str]], size: int) ->list[list[str]]:
"""
Shifts all columns leftward when an entire column becomes empty.
>>> move_y([['-', 'A'], ['-', '-'], ['-', 'C']], 2)
[['A', '-'], ['-', '-'], ['-', 'C']]
"""
empty_columns= []
forcolumninrange(size-1, -1, -1):
ifall(matrix_g[row][column] =="-"forrowinrange(size)):
empty_columns.append(column)
forcolumninempty_columns:
forcolinrange(column+1, size):
forrowinrange(size):
matrix_g[row][col-1] =matrix_g[row][col]
forrowinrange(size):
matrix_g[row][-1] ="-"
returnmatrix_g
defplay(
matrix_g: list[list[str]], pos_x: int, pos_y: int, size: int
) ->tuple[list[list[str]], int]:
"""
Processes a single move, updating the matrix and calculating the score.
>>> play([['R', 'G'], ['R', 'G']], 0, 0, 2)
([['G', '-'], ['G', '-']], 3)
"""
same_colors=find_repeat(matrix_g, pos_x, pos_y, size)
iflen(same_colors) !=0:
forposinsame_colors:
matrix_g[pos[0]][pos[1]] ="-"
forcolumninrange(size):
matrix_g=move_x(matrix_g, column, size)
matrix_g=move_y(matrix_g, size)
return (matrix_g, increment_score(len(same_colors)))
defprocess_game(size: int, matrix: list[str], moves: list[tuple[int, int]]) ->int:
"""Processes the game logic for the given matrix and moves.
Args:
size (int): Size of the game board.
matrix (List[str]): Initial game matrix.
moves (List[Tuple[int, int]]): List of moves as (x, y) coordinates.
Returns:
int: The total score obtained.
>>> process_game(3, ['aaa', 'bbb', 'ccc'], [(0, 0)])
6
"""
game_matrix= [list(row) forrowinmatrix]
total_score=0
formoveinmoves:
pos_x, pos_y=move
game_matrix, score=play(game_matrix, pos_x, pos_y, size)
total_score+=score
returntotal_score
if__name__=="__main__":
importdoctest
doctest.testmod(verbose=True)
try:
size=int(input("Enter the size of the matrix: "))
validate_matrix_size(size)
print(f"Enter the {size} rows of the matrix:")
matrix= [input(f"Row {i+1}: ") foriinrange(size)]
validate_matrix_content(matrix, size)
moves_input=input("Enter the moves (e.g., '0 0, 1 1'): ")
moves=parse_moves(moves_input)
validate_moves(moves, size)
score=process_game(size, matrix, moves)
print(f"Total score: {score}")
exceptValueErrorase:
print(f"{e}")