aboutsummaryrefslogtreecommitdiffstats
path: root/solver.py
blob: e435c8ad4a68135d71e34ede648e2c1acd41d8c7 (plain)
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
285
286
287
288
289
290
291
292
293
294
295
296
297
298
299
300
301
302
303
304
305
306
307
308
309
310
311
312
313
314
315
316
317
318
319
320
321
322
323
324
325
326
327
328
329
330
331
332
333
334
335
336
337
338
339
340
341
342
343
344
345
346
347
348
349
350
351
352
353
354
355
356
357
358
359
360
361
362
363
#!/usr/bin/env python3
# Copyright 2020 vg
# SPDX-License-Identifier: MIT

'''
Usage: solver.py -h|--help
       solver.py [-p] YAML_GRID


Options:
  -h, --help     Display this help message
  -p             Display solution with parents [DEFAULT is without parents]
'''

import copy
import zlib

import docopt
import yaml

class Kana:

    types = ('void', 'norm', 'froz', 'rock', 'myst',
             'ar_u', 'ar_l', 'ar_d', 'ar_r')

    def __init__(self, type_name, kana=None):
        self.type_name = type_name
        self.kana = kana

        #print(type_name)
        #print(kana)
        assert type_name in self.types

        # missing yet: 'n' and 'y...' and 'w...' are not we all vowels
        if kana:
            assert kana[0] in 'kstnhmryw'
            assert kana[1] in 'aiueo'

    def __repr__(self):
        return "%s(%s)" % (self.type_name, self.kana)

    def __eq__(self, other):
        return self.type_name == other.type_name and self.kana == other.kana

kana_void = Kana('void')


class KanaGrid:

    def __init__(self, size, grid,
                 action_count=0, score=0, myst_count=0, parent=None):

        self.width = size[0]
        self.height = size[1]
        self.grid = grid
        self.action_count = action_count
        self.score = score
        self.myst_count = myst_count
        self.parent = parent

    def copy(self):
        return KanaGrid(
                (self.width, self.height),
                copy.copy(self.grid),
                action_count=self.action_count,
                score=self.score,
                myst_count=self.myst_count,
                parent=self.parent,
        )

    def is_swappable(self, pos1, pos2):
        kana1 = self.get_kana(pos1)
        kana2 = self.get_kana(pos2)
        table_ok = {
            'norm': ('norm', 'froz', 'ar_u', 'ar_r', 'ar_d', 'ar_l'),
            'froz': ('norm',         'ar_u', 'ar_r', 'ar_d', 'ar_l'),
            'ar_u': ('norm', 'froz',                 'ar_d'        ),
            'ar_r': ('norm', 'froz',                         'ar_l'),
            'ar_d': ('norm', 'froz', 'ar_u'                        ),
            'ar_l': ('norm', 'froz',         'ar_r'                ),
        }
        if kana1.type_name in table_ok:
            if kana2.type_name in table_ok[kana1.type_name]:
                ar_vect_ok = {
                        'ar_u': ( 0, -1),
                        'ar_l': (-1,  0),
                        'ar_d': ( 0,  1),
                        'ar_r': ( 1,  0),
                }
                vect1_target = ar_vect_ok.get(kana1.type_name, None)
                vect2_target = ar_vect_ok.get(kana2.type_name, None)
                if vect1_target or vect2_target:
                    vect1 = (pos2[0] - pos1[0], pos2[1] - pos1[1])
                    vect2 = (pos1[0] - pos2[0], pos1[1] - pos2[1])
                    if vect1 != vect1_target and vect2 != vect2_target:
                        return False
                return True
        return False

    def action(self, pos, action_type):
        if action_type == "reveal":
            kana = self.get_kana(pos)
            if kana.type_name == 'myst':
                new_grid = self.copy()
                new_grid.action_count += 1
                new_grid.set_kana(pos, Kana('norm', kana.kana))
                return new_grid
        elif action_type in ("up", "right", "down", "left"):
            if action_type == "up":
                pos_dest = (pos[0], pos[1]-1)
            elif action_type == "right":
                pos_dest = (pos[0]+1, pos[1])
            elif action_type == "down":
                pos_dest = (pos[0], pos[1]+1)
            elif action_type == "left":
                pos_dest = (pos[0]-1, pos[1])
            if self.is_swappable(pos, pos_dest):
                new_grid = self.copy()
                new_grid.action_count += 1
                new_grid.swap_kana(pos, pos_dest)
                return new_grid

    def generate_valid_pos_for_chain(self):
        for y in range(self.height):
            for x in range(self.width):
                kana = self.get_kana((x, y))
                if kana.kana:
                    yield (x, y)

    def populate_chain(self, pos1, chain_positions):
        myst_count = 0
        if pos1 in chain_positions:
            return myst_count
        kana1 = self.get_kana(pos1)
        if kana1.type_name == 'myst':
            myst_count += 1
        chain_positions.add(pos1)
        pos2_list = [
                (pos1[0], pos1[1]-1), # up
                (pos1[0]+1, pos1[1]), # right
                (pos1[0], pos1[1]+1), # down
                (pos1[0]-1, pos1[1]), # left
        ]
        for pos2 in pos2_list:
            if pos2 in chain_positions:
                continue
            kana2 = self.get_kana(pos2)
            if kana2.kana:
                if is_kana_compatible(kana1, kana2):
                    myst_count += self.populate_chain(pos2, chain_positions)
        return myst_count

    def longest_chain(self):
        already_evaluated_pos = set()
        highest_length = 0
        highest_length_chain = 0
        highest_myst_count = 0
        for pos in self.generate_valid_pos_for_chain():
            if pos in already_evaluated_pos:
                continue
            chain = set()
            myst_count = self.populate_chain(pos, chain)
            already_evaluated_pos = already_evaluated_pos.union(chain)
            if myst_count > highest_myst_count:
                highest_myst_count = myst_count
            if highest_length < len(chain):
                highest_length = len(chain)
                highest_length_chain = chain
        return highest_length, highest_myst_count
        #, highest_length_chain # easy to add if needed

    def update_score(self):
        self.score, self.myst_count = self.longest_chain()

    def get_hash(self):
        data = ''.join((
                str(self.width),
                str(self.height),
                str(self.grid),
                str(self.action_count),
                ))
        return zlib.crc32(data.encode('utf8'))

    def get_kana(self, pos):
        if pos[0] < 0 or pos[0] >= self.width:
            return kana_void
        elif pos[1] < 0 or pos[1] >= self.height:
            return kana_void

        return self.grid[pos[0]+pos[1]*self.width]

    def set_kana(self, pos, kana):
        if pos[0] < 0 or pos[0] >= self.width:
            return
        elif pos[1] < 0 or pos[1] >= self.height:
            return
        self.grid[pos[0]+pos[1]*self.width] = kana

    def swap_kana(self, pos1, pos2):
        kana_dst = self.get_kana(pos2)

        if kana_dst.type_name in ('froz', 'fblk'):
            pos_tmp = pos1
            pos1 = pos2
            pos2 = pos_tmp
            kana_dst = self.get_kana(pos2)

        kana_src = self.get_kana(pos1)
        pos_src = pos1
        pos_dst = pos2
        vect = (pos2[0] - pos1[0], pos2[1] - pos1[1])

        while self.is_swappable(pos_src, pos_dst):
            #print("swap between src %s (%s) dst %s (%s)"
            #      % (kana_src, pos_src, kana_dst, pos_dst))
            self.set_kana(pos_src, kana_dst)
            self.set_kana(pos_dst, kana_src)

            if kana_src.type_name not in ('froz', 'fblk') :
                break

            pos_src = pos_dst
            pos_dst = (pos_dst[0] + vect[0], pos_dst[1] + vect[1])
            kana_dst = self.get_kana(pos_dst)

    def load(input_dict):
        grid = []
        for serialized_kana in input_dict['grid']:
            if serialized_kana[0] == 'void':
                grid.append(kana_void)
            else:
                grid.append(Kana(serialized_kana[0], serialized_kana[1]))
        return KanaGrid(input_dict['size'], grid)

    def dump(self, stream):
        raise NotImplemented

    def __repr__(self):
        self.update_score()
        return (
                ('KanaGrid (cnt: %d, score:%d): \n  ' % (self.action_count, self.score))
                + '\n  '.join(repr_grid(self.grid, (self.width, self.height)).splitlines())
        )

    def __eq__(self, other):
        return (
                self.width == other.width
                and self.height == other.height
                and self.grid == other.grid
                and self.action_count == other.action_count
                )


def repr_grid(grid, grid_size):
    indicator_map = {
            'norm': (' ', ' '),
            'froz': ('\x1b[36m[', ']\x1b[0m'),
            'rock': (' \x1b[1;40m', '\x1b[0m '),
            'myst': ('\x1b[33m?', '?\x1b[0m'),
            'ar_u': ('\x1b[31m∧\x1b[0m', '\x1b[31m∧\x1b[0m'),
            'ar_r': ('\x1b[31m>\x1b[0m', '\x1b[31m>\x1b[0m'),
            'ar_d': ('\x1b[31m∨\x1b[0m', '\x1b[31m∨\x1b[0m'),
            'ar_l': ('\x1b[31m<\x1b[0m', '\x1b[31m<\x1b[0m'),
    }
    lines = []
    kana_iter = iter(grid)
    for y in range(grid_size[1]):
        line = ''
        for x in range(grid_size[0]):
            kana = next(kana_iter)
            tname = kana.type_name
            kkana = kana.kana
            if not kkana:
                kkana = '  '
            if tname == 'void':
                line += '      '
            elif tname in indicator_map:
                line += '|%s%s%s|' % (
                        indicator_map[tname][0],
                        kkana,
                        indicator_map[tname][1],
                )
        lines.append(line)
    return '\n'.join(lines)


def display_grid(grid, grid_size):
    print(repr_grid(grid, grid_size))


def is_kana_compatible(kana1, kana2):
    if kana1.kana[0] == kana2.kana[0] or kana1.kana[1] == kana2.kana[1]:
        return True
    return False


def generate_possible_grids(kanagrid):
    for y in range(kanagrid.height):
        for x in range(kanagrid.width):
            for action_type in ("reveal", "up", "right", "down", "left"):
                new_grid = kanagrid.action((x, y), action_type)
                if new_grid and new_grid.grid != kanagrid.grid:
                    yield (x, y), action_type, new_grid


def generate_all_possible_grids(grid, grids, max_actions):
    for pos, action_type, new_grid in generate_possible_grids(grid):
        grid_hash = new_grid.get_hash()
        if grid_hash in grids or new_grid.action_count > max_actions:
            continue
        grids[grid_hash] = new_grid
        new_grid.parent = grid
        generate_all_possible_grids(new_grid, grids, max_actions)


def repr_grid_with_parents(grid):
    items = []
    while grid:
        items.append(str(grid))
        grid = grid.parent
    return '\n'.join(reversed(items))


def print_score_over(node, target_score):
    node.grid.update_score()
    if node.grid.score >= target_score:
        print("="*80)
        print(node_repr_with_parents(node))
        return
    for child in node.children:
        print_score_over(child, target_score)


def main():

    args = docopt.docopt(__doc__)
    with open(args['YAML_GRID'], encoding='utf8') as stream:
        input_dict = yaml.safe_load(stream)
    kanagrid = KanaGrid.load(input_dict)
    target_score = input_dict['target_score']
    max_actions = input_dict['max_actions']
    print('Size %dx%d' % (kanagrid.width, kanagrid.height))
    print('Target score %d' % target_score)
    print('Max actions %d' % max_actions)
    print('Initial grid:')
    print(kanagrid)

    del input_dict

    grids = {}
    generate_all_possible_grids(kanagrid, grids=grids, max_actions=max_actions)
    for grid in grids.values():
        grid.update_score()
        if grid.score >= target_score and grid.myst_count == 0:
            print("="*80)
            if args['-p']:
                print(repr_grid_with_parents(grid))
            else:
                print(grid)


if __name__ == '__main__':
    main()