6 Commits

10 changed files with 2616 additions and 140 deletions

37
check_i18n.js Normal file
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@@ -0,0 +1,37 @@
const fs = require('fs');
const fileContent = fs.readFileSync('src/composables/useI18n.js', 'utf8');
// Extract the messages object
const match = fileContent.match(/const messages = ({[\s\S]*?});/);
if (!match) {
console.error('Could not find messages object');
process.exit(1);
}
// We need to make the string valid JS to eval it.
// It seems the content inside `const messages = { ... };` is valid JS object notation.
// But we need to be careful about imports or other things if we were to `eval` the whole file.
// We'll just `eval` the object part.
const messagesStr = match[1];
const messages = eval(`(${messagesStr})`);
const enKeys = Object.keys(messages.en);
const languages = Object.keys(messages);
const missing = {};
languages.forEach(lang => {
if (lang === 'en') return;
const langKeys = Object.keys(messages[lang]);
const missingKeys = enKeys.filter(k => !langKeys.includes(k));
if (missingKeys.length > 0) {
missing[lang] = missingKeys;
}
});
console.log(JSON.stringify(missing, null, 2));

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@@ -0,0 +1,118 @@
size,density,avg_solved_percent,min_solved_percent,max_solved_percent,avg_time_ms
5,0.1,89.40,36.00,100.00,0.03
5,0.2,74.20,8.00,100.00,0.04
5,0.3,74.20,0.00,100.00,0.04
5,0.4,80.80,8.00,100.00,0.03
5,0.5,96.80,68.00,100.00,0.03
5,0.6,97.60,84.00,100.00,0.03
5,0.7,99.20,84.00,100.00,0.03
5,0.8,100.00,100.00,100.00,0.02
5,0.9,100.00,100.00,100.00,0.02
10,0.1,56.60,19.00,86.00,0.04
10,0.2,19.80,0.00,51.00,0.05
10,0.3,15.75,0.00,73.00,0.07
10,0.4,54.05,0.00,100.00,0.13
10,0.5,91.80,59.00,100.00,0.17
10,0.6,99.80,96.00,100.00,0.07
10,0.7,99.80,96.00,100.00,0.05
10,0.8,100.00,100.00,100.00,0.04
10,0.9,100.00,100.00,100.00,0.02
15,0.1,37.04,13.33,61.78,0.05
15,0.2,9.78,0.00,26.67,0.03
15,0.3,1.89,0.00,8.00,0.03
15,0.4,11.82,0.00,61.33,0.08
15,0.5,68.20,2.67,100.00,0.14
15,0.6,99.56,96.44,100.00,0.09
15,0.7,99.78,97.33,100.00,0.07
15,0.8,100.00,100.00,100.00,0.05
15,0.9,100.00,100.00,100.00,0.03
20,0.1,22.59,5.00,41.50,0.04
20,0.2,3.25,0.00,14.50,0.04
20,0.3,0.56,0.00,5.00,0.04
20,0.4,1.46,0.00,3.25,0.07
20,0.5,36.75,1.25,99.00,0.26
20,0.6,99.80,99.00,100.00,0.23
20,0.7,99.95,99.00,100.00,0.13
20,0.8,100.00,100.00,100.00,0.09
20,0.9,100.00,100.00,100.00,0.05
25,0.1,16.00,7.84,32.80,0.06
25,0.2,0.00,0.00,0.00,0.04
25,0.3,0.05,0.00,0.64,0.06
25,0.4,0.89,0.00,9.44,0.12
25,0.5,19.13,1.12,96.48,0.35
25,0.6,99.25,94.88,100.00,0.50
25,0.7,99.90,99.36,100.00,0.24
25,0.8,100.00,100.00,100.00,0.15
25,0.9,99.97,99.36,100.00,0.08
30,0.1,7.99,0.00,16.00,0.08
30,0.2,0.17,0.00,3.33,0.07
30,0.3,0.00,0.00,0.00,0.08
30,0.4,0.38,0.00,4.11,0.18
30,0.5,5.42,0.78,21.44,0.41
30,0.6,99.42,94.78,100.00,0.94
30,0.7,99.93,99.56,100.00,0.42
30,0.8,100.00,100.00,100.00,0.22
30,0.9,100.00,100.00,100.00,0.13
35,0.1,5.65,0.00,13.80,0.11
35,0.2,0.14,0.00,2.86,0.10
35,0.3,0.00,0.00,0.00,0.13
35,0.4,0.13,0.00,0.57,0.22
35,0.5,4.42,0.41,23.18,0.56
35,0.6,91.11,8.41,100.00,1.58
35,0.7,99.97,99.67,100.00,0.60
35,0.8,100.00,100.00,100.00,0.33
35,0.9,100.00,100.00,100.00,0.17
40,0.1,2.73,0.00,9.81,0.13
40,0.2,0.00,0.00,0.00,0.13
40,0.3,0.00,0.00,0.00,0.18
40,0.4,0.03,0.00,0.31,0.27
40,0.5,2.14,0.00,9.56,0.69
40,0.6,91.44,22.31,100.00,2.92
40,0.7,99.99,99.75,100.00,0.84
40,0.8,100.00,100.00,100.00,0.43
40,0.9,100.00,100.00,100.00,0.24
45,0.1,1.78,0.00,4.69,0.17
45,0.2,0.00,0.00,0.00,0.17
45,0.3,0.00,0.00,0.00,0.24
45,0.4,0.01,0.00,0.15,0.33
45,0.5,1.44,0.40,5.14,0.96
45,0.6,81.72,6.02,100.00,5.28
45,0.7,99.94,99.41,100.00,1.28
45,0.8,100.00,100.00,100.00,0.64
45,0.9,100.00,100.00,100.00,0.30
50,0.1,1.70,0.00,5.92,0.20
50,0.2,0.00,0.00,0.00,0.23
50,0.3,0.00,0.00,0.00,0.30
50,0.4,0.01,0.00,0.16,0.38
50,0.5,0.51,0.00,1.80,0.90
50,0.6,73.26,5.60,100.00,7.94
50,0.7,99.96,99.76,100.00,1.63
50,0.8,100.00,100.00,100.00,0.83
50,0.9,100.00,100.00,100.00,0.41
60,0.1,0.17,0.00,1.67,0.24
60,0.2,0.00,0.00,0.00,0.35
60,0.3,0.00,0.00,0.00,0.50
60,0.4,0.00,0.00,0.06,0.64
60,0.5,0.23,0.00,1.67,1.24
60,0.6,35.02,1.33,100.00,10.76
60,0.7,99.97,99.83,100.00,2.96
60,0.8,100.00,100.00,100.00,1.27
60,0.9,100.00,100.00,100.00,0.62
70,0.1,0.14,0.00,1.43,0.34
70,0.2,0.00,0.00,0.00,0.54
70,0.3,0.00,0.00,0.00,0.76
70,0.4,0.00,0.00,0.00,0.96
70,0.5,0.04,0.00,0.29,1.49
70,0.6,16.40,1.00,99.71,22.21
70,0.7,99.97,99.73,100.00,4.92
70,0.8,100.00,99.92,100.00,2.03
70,0.9,100.00,100.00,100.00,0.89
80,0.1,0.00,0.00,0.00,0.44
80,0.2,0.00,0.00,0.00,0.78
80,0.3,0.00,0.00,0.00,1.07
80,0.4,0.00,0.00,0.00,1.34
80,0.5,0.01,0.00,0.08,1.97
80,0.6,1.21,0.41,2.30,3.92
80,0.7,99.98,99.94,100.00,7.79
80,0.8,100.00,100.00,100.00,3.14
80,0.9,100.00,100.00,100.00,1.31
1 size density avg_solved_percent min_solved_percent max_solved_percent avg_time_ms
2 5 0.1 89.40 36.00 100.00 0.03
3 5 0.2 74.20 8.00 100.00 0.04
4 5 0.3 74.20 0.00 100.00 0.04
5 5 0.4 80.80 8.00 100.00 0.03
6 5 0.5 96.80 68.00 100.00 0.03
7 5 0.6 97.60 84.00 100.00 0.03
8 5 0.7 99.20 84.00 100.00 0.03
9 5 0.8 100.00 100.00 100.00 0.02
10 5 0.9 100.00 100.00 100.00 0.02
11 10 0.1 56.60 19.00 86.00 0.04
12 10 0.2 19.80 0.00 51.00 0.05
13 10 0.3 15.75 0.00 73.00 0.07
14 10 0.4 54.05 0.00 100.00 0.13
15 10 0.5 91.80 59.00 100.00 0.17
16 10 0.6 99.80 96.00 100.00 0.07
17 10 0.7 99.80 96.00 100.00 0.05
18 10 0.8 100.00 100.00 100.00 0.04
19 10 0.9 100.00 100.00 100.00 0.02
20 15 0.1 37.04 13.33 61.78 0.05
21 15 0.2 9.78 0.00 26.67 0.03
22 15 0.3 1.89 0.00 8.00 0.03
23 15 0.4 11.82 0.00 61.33 0.08
24 15 0.5 68.20 2.67 100.00 0.14
25 15 0.6 99.56 96.44 100.00 0.09
26 15 0.7 99.78 97.33 100.00 0.07
27 15 0.8 100.00 100.00 100.00 0.05
28 15 0.9 100.00 100.00 100.00 0.03
29 20 0.1 22.59 5.00 41.50 0.04
30 20 0.2 3.25 0.00 14.50 0.04
31 20 0.3 0.56 0.00 5.00 0.04
32 20 0.4 1.46 0.00 3.25 0.07
33 20 0.5 36.75 1.25 99.00 0.26
34 20 0.6 99.80 99.00 100.00 0.23
35 20 0.7 99.95 99.00 100.00 0.13
36 20 0.8 100.00 100.00 100.00 0.09
37 20 0.9 100.00 100.00 100.00 0.05
38 25 0.1 16.00 7.84 32.80 0.06
39 25 0.2 0.00 0.00 0.00 0.04
40 25 0.3 0.05 0.00 0.64 0.06
41 25 0.4 0.89 0.00 9.44 0.12
42 25 0.5 19.13 1.12 96.48 0.35
43 25 0.6 99.25 94.88 100.00 0.50
44 25 0.7 99.90 99.36 100.00 0.24
45 25 0.8 100.00 100.00 100.00 0.15
46 25 0.9 99.97 99.36 100.00 0.08
47 30 0.1 7.99 0.00 16.00 0.08
48 30 0.2 0.17 0.00 3.33 0.07
49 30 0.3 0.00 0.00 0.00 0.08
50 30 0.4 0.38 0.00 4.11 0.18
51 30 0.5 5.42 0.78 21.44 0.41
52 30 0.6 99.42 94.78 100.00 0.94
53 30 0.7 99.93 99.56 100.00 0.42
54 30 0.8 100.00 100.00 100.00 0.22
55 30 0.9 100.00 100.00 100.00 0.13
56 35 0.1 5.65 0.00 13.80 0.11
57 35 0.2 0.14 0.00 2.86 0.10
58 35 0.3 0.00 0.00 0.00 0.13
59 35 0.4 0.13 0.00 0.57 0.22
60 35 0.5 4.42 0.41 23.18 0.56
61 35 0.6 91.11 8.41 100.00 1.58
62 35 0.7 99.97 99.67 100.00 0.60
63 35 0.8 100.00 100.00 100.00 0.33
64 35 0.9 100.00 100.00 100.00 0.17
65 40 0.1 2.73 0.00 9.81 0.13
66 40 0.2 0.00 0.00 0.00 0.13
67 40 0.3 0.00 0.00 0.00 0.18
68 40 0.4 0.03 0.00 0.31 0.27
69 40 0.5 2.14 0.00 9.56 0.69
70 40 0.6 91.44 22.31 100.00 2.92
71 40 0.7 99.99 99.75 100.00 0.84
72 40 0.8 100.00 100.00 100.00 0.43
73 40 0.9 100.00 100.00 100.00 0.24
74 45 0.1 1.78 0.00 4.69 0.17
75 45 0.2 0.00 0.00 0.00 0.17
76 45 0.3 0.00 0.00 0.00 0.24
77 45 0.4 0.01 0.00 0.15 0.33
78 45 0.5 1.44 0.40 5.14 0.96
79 45 0.6 81.72 6.02 100.00 5.28
80 45 0.7 99.94 99.41 100.00 1.28
81 45 0.8 100.00 100.00 100.00 0.64
82 45 0.9 100.00 100.00 100.00 0.30
83 50 0.1 1.70 0.00 5.92 0.20
84 50 0.2 0.00 0.00 0.00 0.23
85 50 0.3 0.00 0.00 0.00 0.30
86 50 0.4 0.01 0.00 0.16 0.38
87 50 0.5 0.51 0.00 1.80 0.90
88 50 0.6 73.26 5.60 100.00 7.94
89 50 0.7 99.96 99.76 100.00 1.63
90 50 0.8 100.00 100.00 100.00 0.83
91 50 0.9 100.00 100.00 100.00 0.41
92 60 0.1 0.17 0.00 1.67 0.24
93 60 0.2 0.00 0.00 0.00 0.35
94 60 0.3 0.00 0.00 0.00 0.50
95 60 0.4 0.00 0.00 0.06 0.64
96 60 0.5 0.23 0.00 1.67 1.24
97 60 0.6 35.02 1.33 100.00 10.76
98 60 0.7 99.97 99.83 100.00 2.96
99 60 0.8 100.00 100.00 100.00 1.27
100 60 0.9 100.00 100.00 100.00 0.62
101 70 0.1 0.14 0.00 1.43 0.34
102 70 0.2 0.00 0.00 0.00 0.54
103 70 0.3 0.00 0.00 0.00 0.76
104 70 0.4 0.00 0.00 0.00 0.96
105 70 0.5 0.04 0.00 0.29 1.49
106 70 0.6 16.40 1.00 99.71 22.21
107 70 0.7 99.97 99.73 100.00 4.92
108 70 0.8 100.00 99.92 100.00 2.03
109 70 0.9 100.00 100.00 100.00 0.89
110 80 0.1 0.00 0.00 0.00 0.44
111 80 0.2 0.00 0.00 0.00 0.78
112 80 0.3 0.00 0.00 0.00 1.07
113 80 0.4 0.00 0.00 0.00 1.34
114 80 0.5 0.01 0.00 0.08 1.97
115 80 0.6 1.21 0.41 2.30 3.92
116 80 0.7 99.98 99.94 100.00 7.79
117 80 0.8 100.00 100.00 100.00 3.14
118 80 0.9 100.00 100.00 100.00 1.31

View File

@@ -0,0 +1,938 @@
[
{
"size": 5,
"density": 0.1,
"avgSolved": 89.4,
"minSolved": 36,
"maxSolved": 100,
"avgTime": 0.031666799999999905
},
{
"size": 5,
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"minSolved": 8,
"maxSolved": 100,
"avgTime": 0.03671869999999924
},
{
"size": 5,
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"minSolved": 0,
"maxSolved": 100,
"avgTime": 0.04439559999999983
},
{
"size": 5,
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"avgSolved": 80.8,
"minSolved": 8,
"maxSolved": 100,
"avgTime": 0.0317166499999999
},
{
"size": 5,
"density": 0.5,
"avgSolved": 96.8,
"minSolved": 68,
"maxSolved": 100,
"avgTime": 0.0309604000000002
},
{
"size": 5,
"density": 0.6,
"avgSolved": 97.6,
"minSolved": 84,
"maxSolved": 100,
"avgTime": 0.031464499999999875
},
{
"size": 5,
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{
"size": 5,
"density": 0.8,
"avgSolved": 100,
"minSolved": 100,
"maxSolved": 100,
"avgTime": 0.01615615000000048
},
{
"size": 5,
"density": 0.9,
"avgSolved": 100,
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"avgTime": 0.02271474999999956
},
{
"size": 10,
"density": 0.1,
"avgSolved": 56.6,
"minSolved": 19,
"maxSolved": 86,
"avgTime": 0.042958299999999915
},
{
"size": 10,
"density": 0.2,
"avgSolved": 19.8,
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"maxSolved": 51,
"avgTime": 0.050141749999999874
},
{
"size": 10,
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"avgSolved": 15.75,
"minSolved": 0,
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"avgTime": 0.06852290000000014
},
{
"size": 10,
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"avgTime": 0.12701870000000018
},
{
"size": 10,
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},
{
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},
{
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{
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},
{
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{
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"maxSolved": 61.77777777777778,
"avgTime": 0.045045850000000345
},
{
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"minSolved": 0,
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"avgTime": 0.034581349999998776
},
{
"size": 15,
"density": 0.3,
"avgSolved": 1.8888888888888886,
"minSolved": 0,
"maxSolved": 8,
"avgTime": 0.029402199999999823
},
{
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"minSolved": 0,
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"avgTime": 0.07898965000000047
},
{
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{
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"minSolved": 96.44444444444444,
"maxSolved": 100,
"avgTime": 0.09379159999999978
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{
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{
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"avgTime": 0.050104250000000405
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{
"size": 15,
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"avgTime": 0.031362550000000766
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{
"size": 20,
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"avgSolved": 22.5875,
"minSolved": 5,
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"avgTime": 0.04363335000000035
},
{
"size": 20,
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"avgTime": 0.03823525000000103
},
{
"size": 20,
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"minSolved": 0,
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},
{
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"maxSolved": 3.25,
"avgTime": 0.06692695000000129
},
{
"size": 20,
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"avgSolved": 36.75,
"minSolved": 1.25,
"maxSolved": 99,
"avgTime": 0.25872084999999884
},
{
"size": 20,
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"avgSolved": 99.8,
"minSolved": 99,
"maxSolved": 100,
"avgTime": 0.2258772000000004
},
{
"size": 20,
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"avgSolved": 99.95,
"minSolved": 99,
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{
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"avgTime": 0.09264785000000053
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{
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{
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"minSolved": 7.84,
"maxSolved": 32.800000000000004,
"avgTime": 0.05678540000000112
},
{
"size": 25,
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},
{
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"avgTime": 0.05884794999999983
},
{
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},
{
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},
{
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"minSolved": 94.88,
"maxSolved": 100,
"avgTime": 0.49611459999999996
},
{
"size": 25,
"density": 0.7,
"avgSolved": 99.904,
"minSolved": 99.36,
"maxSolved": 100,
"avgTime": 0.23916465000000073
},
{
"size": 25,
"density": 0.8,
"avgSolved": 100,
"minSolved": 100,
"maxSolved": 100,
"avgTime": 0.14604994999999973
},
{
"size": 25,
"density": 0.9,
"avgSolved": 99.96799999999999,
"minSolved": 99.36,
"maxSolved": 100,
"avgTime": 0.08385419999999896
},
{
"size": 30,
"density": 0.1,
"avgSolved": 7.988888888888889,
"minSolved": 0,
"maxSolved": 16,
"avgTime": 0.08026245000000073
},
{
"size": 30,
"density": 0.2,
"avgSolved": 0.16666666666666669,
"minSolved": 0,
"maxSolved": 3.3333333333333335,
"avgTime": 0.06999999999999887
},
{
"size": 30,
"density": 0.3,
"avgSolved": 0,
"minSolved": 0,
"maxSolved": 0,
"avgTime": 0.08285835000000005
},
{
"size": 30,
"density": 0.4,
"avgSolved": 0.3777777777777777,
"minSolved": 0,
"maxSolved": 4.111111111111112,
"avgTime": 0.1756041499999988
},
{
"size": 30,
"density": 0.5,
"avgSolved": 5.4222222222222225,
"minSolved": 0.7777777777777778,
"maxSolved": 21.444444444444443,
"avgTime": 0.41105620000000015
},
{
"size": 30,
"density": 0.6,
"avgSolved": 99.41666666666669,
"minSolved": 94.77777777777779,
"maxSolved": 100,
"avgTime": 0.9417500999999995
},
{
"size": 30,
"density": 0.7,
"avgSolved": 99.93333333333335,
"minSolved": 99.55555555555556,
"maxSolved": 100,
"avgTime": 0.41628955000000334
},
{
"size": 30,
"density": 0.8,
"avgSolved": 100,
"minSolved": 100,
"maxSolved": 100,
"avgTime": 0.22320620000000133
},
{
"size": 30,
"density": 0.9,
"avgSolved": 100,
"minSolved": 100,
"maxSolved": 100,
"avgTime": 0.13331460000000134
},
{
"size": 35,
"density": 0.1,
"avgSolved": 5.653061224489796,
"minSolved": 0,
"maxSolved": 13.795918367346937,
"avgTime": 0.11177699999999931
},
{
"size": 35,
"density": 0.2,
"avgSolved": 0.14285714285714285,
"minSolved": 0,
"maxSolved": 2.857142857142857,
"avgTime": 0.09598544999999917
},
{
"size": 35,
"density": 0.3,
"avgSolved": 0,
"minSolved": 0,
"maxSolved": 0,
"avgTime": 0.1290145000000038
},
{
"size": 35,
"density": 0.4,
"avgSolved": 0.1346938775510204,
"minSolved": 0,
"maxSolved": 0.5714285714285714,
"avgTime": 0.21904799999999797
},
{
"size": 35,
"density": 0.5,
"avgSolved": 4.424489795918367,
"minSolved": 0.40816326530612246,
"maxSolved": 23.183673469387756,
"avgTime": 0.5596769500000022
},
{
"size": 35,
"density": 0.6,
"avgSolved": 91.1061224489796,
"minSolved": 8.408163265306122,
"maxSolved": 100,
"avgTime": 1.5827311000000024
},
{
"size": 35,
"density": 0.7,
"avgSolved": 99.9673469387755,
"minSolved": 99.67346938775509,
"maxSolved": 100,
"avgTime": 0.5970167499999988
},
{
"size": 35,
"density": 0.8,
"avgSolved": 100,
"minSolved": 100,
"maxSolved": 100,
"avgTime": 0.33084175000000327
},
{
"size": 35,
"density": 0.9,
"avgSolved": 100,
"minSolved": 100,
"maxSolved": 100,
"avgTime": 0.1685022000000032
},
{
"size": 40,
"density": 0.1,
"avgSolved": 2.734375,
"minSolved": 0,
"maxSolved": 9.8125,
"avgTime": 0.13156869999999826
},
{
"size": 40,
"density": 0.2,
"avgSolved": 0,
"minSolved": 0,
"maxSolved": 0,
"avgTime": 0.13052910000000112
},
{
"size": 40,
"density": 0.3,
"avgSolved": 0,
"minSolved": 0,
"maxSolved": 0,
"avgTime": 0.17675199999999905
},
{
"size": 40,
"density": 0.4,
"avgSolved": 0.03125,
"minSolved": 0,
"maxSolved": 0.3125,
"avgTime": 0.26616039999999686
},
{
"size": 40,
"density": 0.5,
"avgSolved": 2.14375,
"minSolved": 0,
"maxSolved": 9.5625,
"avgTime": 0.694316649999999
},
{
"size": 40,
"density": 0.6,
"avgSolved": 91.44375,
"minSolved": 22.3125,
"maxSolved": 100,
"avgTime": 2.9244042000000006
},
{
"size": 40,
"density": 0.7,
"avgSolved": 99.9875,
"minSolved": 99.75,
"maxSolved": 100,
"avgTime": 0.8381519999999967
},
{
"size": 40,
"density": 0.8,
"avgSolved": 100,
"minSolved": 100,
"maxSolved": 100,
"avgTime": 0.4339062999999925
},
{
"size": 40,
"density": 0.9,
"avgSolved": 100,
"minSolved": 100,
"maxSolved": 100,
"avgTime": 0.2375938000000076
},
{
"size": 45,
"density": 0.1,
"avgSolved": 1.7827160493827159,
"minSolved": 0,
"maxSolved": 4.691358024691358,
"avgTime": 0.1660813500000046
},
{
"size": 45,
"density": 0.2,
"avgSolved": 0,
"minSolved": 0,
"maxSolved": 0,
"avgTime": 0.1715666999999968
},
{
"size": 45,
"density": 0.3,
"avgSolved": 0,
"minSolved": 0,
"maxSolved": 0,
"avgTime": 0.23760415000000706
},
{
"size": 45,
"density": 0.4,
"avgSolved": 0.012345679012345678,
"minSolved": 0,
"maxSolved": 0.14814814814814814,
"avgTime": 0.333931249999992
},
{
"size": 45,
"density": 0.5,
"avgSolved": 1.439506172839506,
"minSolved": 0.39506172839506176,
"maxSolved": 5.135802469135802,
"avgTime": 0.9644125499999916
},
{
"size": 45,
"density": 0.6,
"avgSolved": 81.71851851851852,
"minSolved": 6.0246913580246915,
"maxSolved": 100,
"avgTime": 5.281324949999998
},
{
"size": 45,
"density": 0.7,
"avgSolved": 99.94074074074075,
"minSolved": 99.4074074074074,
"maxSolved": 100,
"avgTime": 1.2768960000000107
},
{
"size": 45,
"density": 0.8,
"avgSolved": 100,
"minSolved": 100,
"maxSolved": 100,
"avgTime": 0.638566650000007
},
{
"size": 45,
"density": 0.9,
"avgSolved": 100,
"minSolved": 100,
"maxSolved": 100,
"avgTime": 0.3004915999999923
},
{
"size": 50,
"density": 0.1,
"avgSolved": 1.7,
"minSolved": 0,
"maxSolved": 5.92,
"avgTime": 0.20294785000000387
},
{
"size": 50,
"density": 0.2,
"avgSolved": 0,
"minSolved": 0,
"maxSolved": 0,
"avgTime": 0.23199789999999892
},
{
"size": 50,
"density": 0.3,
"avgSolved": 0,
"minSolved": 0,
"maxSolved": 0,
"avgTime": 0.29876259999999205
},
{
"size": 50,
"density": 0.4,
"avgSolved": 0.008,
"minSolved": 0,
"maxSolved": 0.16,
"avgTime": 0.38459799999998834
},
{
"size": 50,
"density": 0.5,
"avgSolved": 0.5099999999999999,
"minSolved": 0,
"maxSolved": 1.7999999999999998,
"avgTime": 0.8961771499999941
},
{
"size": 50,
"density": 0.6,
"avgSolved": 73.258,
"minSolved": 5.6000000000000005,
"maxSolved": 100,
"avgTime": 7.937735449999991
},
{
"size": 50,
"density": 0.7,
"avgSolved": 99.96399999999998,
"minSolved": 99.76,
"maxSolved": 100,
"avgTime": 1.6324250000000062
},
{
"size": 50,
"density": 0.8,
"avgSolved": 100,
"minSolved": 100,
"maxSolved": 100,
"avgTime": 0.8293270000000064
},
{
"size": 50,
"density": 0.9,
"avgSolved": 100,
"minSolved": 100,
"maxSolved": 100,
"avgTime": 0.41459575000000654
},
{
"size": 60,
"density": 0.1,
"avgSolved": 0.16666666666666669,
"minSolved": 0,
"maxSolved": 1.6666666666666667,
"avgTime": 0.2432124999999928
},
{
"size": 60,
"density": 0.2,
"avgSolved": 0,
"minSolved": 0,
"maxSolved": 0,
"avgTime": 0.35082704999999237
},
{
"size": 60,
"density": 0.3,
"avgSolved": 0,
"minSolved": 0,
"maxSolved": 0,
"avgTime": 0.49827310000000014
},
{
"size": 60,
"density": 0.4,
"avgSolved": 0.0027777777777777775,
"minSolved": 0,
"maxSolved": 0.05555555555555555,
"avgTime": 0.6393062499999985
},
{
"size": 60,
"density": 0.5,
"avgSolved": 0.23055555555555554,
"minSolved": 0,
"maxSolved": 1.6666666666666667,
"avgTime": 1.2402395500000012
},
{
"size": 60,
"density": 0.6,
"avgSolved": 35.01805555555556,
"minSolved": 1.3333333333333335,
"maxSolved": 100,
"avgTime": 10.759754149999992
},
{
"size": 60,
"density": 0.7,
"avgSolved": 99.96944444444445,
"minSolved": 99.83333333333333,
"maxSolved": 100,
"avgTime": 2.964204100000029
},
{
"size": 60,
"density": 0.8,
"avgSolved": 100,
"minSolved": 100,
"maxSolved": 100,
"avgTime": 1.2736664999999903
},
{
"size": 60,
"density": 0.9,
"avgSolved": 100,
"minSolved": 100,
"maxSolved": 100,
"avgTime": 0.6249353999999812
},
{
"size": 70,
"density": 0.1,
"avgSolved": 0.14285714285714285,
"minSolved": 0,
"maxSolved": 1.4285714285714286,
"avgTime": 0.34277719999998907
},
{
"size": 70,
"density": 0.2,
"avgSolved": 0,
"minSolved": 0,
"maxSolved": 0,
"avgTime": 0.5435105000000249
},
{
"size": 70,
"density": 0.3,
"avgSolved": 0,
"minSolved": 0,
"maxSolved": 0,
"avgTime": 0.7600602999999865
},
{
"size": 70,
"density": 0.4,
"avgSolved": 0,
"minSolved": 0,
"maxSolved": 0,
"avgTime": 0.9591250999999943
},
{
"size": 70,
"density": 0.5,
"avgSolved": 0.04081632653061225,
"minSolved": 0,
"maxSolved": 0.2857142857142857,
"avgTime": 1.491010399999982
},
{
"size": 70,
"density": 0.6,
"avgSolved": 16.403061224489797,
"minSolved": 1,
"maxSolved": 99.71428571428571,
"avgTime": 22.21432699999999
},
{
"size": 70,
"density": 0.7,
"avgSolved": 99.96836734693878,
"minSolved": 99.73469387755102,
"maxSolved": 100,
"avgTime": 4.92020829999999
},
{
"size": 70,
"density": 0.8,
"avgSolved": 99.99591836734695,
"minSolved": 99.91836734693878,
"maxSolved": 100,
"avgTime": 2.0306394499999554
},
{
"size": 70,
"density": 0.9,
"avgSolved": 100,
"minSolved": 100,
"maxSolved": 100,
"avgTime": 0.8882499500000336
},
{
"size": 80,
"density": 0.1,
"avgSolved": 0,
"minSolved": 0,
"maxSolved": 0,
"avgTime": 0.4418666499999858
},
{
"size": 80,
"density": 0.2,
"avgSolved": 0,
"minSolved": 0,
"maxSolved": 0,
"avgTime": 0.7795667999999978
},
{
"size": 80,
"density": 0.3,
"avgSolved": 0,
"minSolved": 0,
"maxSolved": 0,
"avgTime": 1.0745101999999747
},
{
"size": 80,
"density": 0.4,
"avgSolved": 0,
"minSolved": 0,
"maxSolved": 0,
"avgTime": 1.3407041500000105
},
{
"size": 80,
"density": 0.5,
"avgSolved": 0.0125,
"minSolved": 0,
"maxSolved": 0.078125,
"avgTime": 1.9724897000000283
},
{
"size": 80,
"density": 0.6,
"avgSolved": 1.21484375,
"minSolved": 0.40625,
"maxSolved": 2.296875,
"avgTime": 3.9163123999999927
},
{
"size": 80,
"density": 0.7,
"avgSolved": 99.978125,
"minSolved": 99.9375,
"maxSolved": 100,
"avgTime": 7.790070799999967
},
{
"size": 80,
"density": 0.8,
"avgSolved": 100,
"minSolved": 100,
"maxSolved": 100,
"avgTime": 3.1350061999999754
},
{
"size": 80,
"density": 0.9,
"avgSolved": 100,
"minSolved": 100,
"maxSolved": 100,
"avgTime": 1.3134414999999535
}
]

4
package-lock.json generated
View File

@@ -1,12 +1,12 @@
{
"name": "vue-nonograms-solid",
"version": "1.8.1",
"version": "1.8.4",
"lockfileVersion": 3,
"requires": true,
"packages": {
"": {
"name": "vue-nonograms-solid",
"version": "1.8.1",
"version": "1.8.4",
"dependencies": {
"fireworks-js": "^2.10.8",
"flag-icons": "^7.5.0",

View File

@@ -1,6 +1,6 @@
{
"name": "vue-nonograms-solid",
"version": "1.8.1",
"version": "1.8.4",
"type": "module",
"scripts": {
"dev": "vite",

View File

@@ -0,0 +1,61 @@
const fs = require('fs');
const path = require('path');
const filePath = path.join(__dirname, '../src/composables/useI18n.js');
let content = fs.readFileSync(filePath, 'utf8');
const newKeys = {
'custom.simulationHelp': 'How is this calculated?',
'custom.hideMap': 'Hide difficulty map',
'custom.showMap': 'Show difficulty map',
'simulation.title': 'Difficulty Simulation',
'simulation.status.ready': 'Ready',
'simulation.status.stopped': 'Stopped',
'simulation.status.completed': 'Completed',
'simulation.status.simulating': 'Simulating {size}x{size} @ {density}%',
'simulation.start': 'Start Simulation',
'simulation.stop': 'Stop',
'simulation.table.size': 'Size',
'simulation.table.density': 'Density',
'simulation.table.solved': 'Solved (Logic)',
'simulation.empty': 'Press Start to run Monte Carlo simulation'
};
const lines = content.split('\n');
const processedLines = [];
let currentLang = null;
for (let i = 0; i < lines.length; i++) {
let line = lines[i];
// Detect start of language block
const startMatch = line.match(/^\s{2}(['"]?[\w-]+['"]?): \{/);
if (startMatch) {
currentLang = startMatch[1].replace(/['"]/g, '');
}
// Detect end of language block
if (currentLang && (line.trim() === '},' || line.trim() === '}')) {
if (currentLang !== 'pl' && currentLang !== 'en') {
// Ensure previous line has comma
if (processedLines.length > 0) {
let lastLine = processedLines[processedLines.length - 1];
if (!lastLine.trim().endsWith(',') && !lastLine.trim().endsWith('{')) {
processedLines[processedLines.length - 1] = lastLine + ',';
}
}
// Append new keys
Object.entries(newKeys).forEach(([key, value]) => {
processedLines.push(` '${key}': '${value}',`);
});
}
currentLang = null;
}
processedLines.push(line);
}
const finalContent = processedLines.join('\n');
fs.writeFileSync(filePath, finalContent);
console.log('Successfully added simulation translations to all languages.');

View File

@@ -0,0 +1,97 @@
const fs = require('fs');
const path = require('path');
const filePath = path.join(__dirname, '../src/composables/useI18n.js');
let content = fs.readFileSync(filePath, 'utf8');
const newKeys = {
'custom.simulationHelp': 'How is this calculated?',
'simulation.title': 'Difficulty Simulation',
'simulation.status.ready': 'Ready',
'simulation.status.stopped': 'Stopped',
'simulation.status.completed': 'Completed',
'simulation.status.simulating': 'Simulating {size}x{size} @ {density}%',
'simulation.start': 'Start Simulation',
'simulation.stop': 'Stop',
'simulation.table.size': 'Size',
'simulation.table.density': 'Density',
'simulation.table.solved': 'Solved (Logic)',
'simulation.empty': 'Press Start to run Monte Carlo simulation'
};
// Regex to match the end of a language block
// Matches " }," or " }" at the start of a line
const blockEndRegex = /^(\s{2})\},?$/gm;
let newContent = content.replace(blockEndRegex, (match, indent, offset) => {
// Determine which language we are closing
const precedingText = content.substring(0, offset);
const langMatch = precedingText.match(/^\s{2}(\w+([-]\w+)?): \{/gm);
if (!langMatch) return match;
const currentLangLine = langMatch[langMatch.length - 1];
const currentLang = currentLangLine.match(/^\s{2}(\w+([-]\w+)?): \{/)[1];
// Skip pl and en as they are already updated
if (currentLang === 'pl' || currentLang === 'en') {
return match;
}
// Check if the previous line has a comma
// We need to look at the lines before the match
// This is tricky with replace callback.
// Easier strategy: Just insert the keys.
// If the file is well formatted, the last item might or might not have a comma.
// But we can ensure *our* inserted block starts with a comma if needed?
// No, standard JS objects need comma after previous item.
// Let's assume we simply inject before the closing brace.
// We'll add a comma to the previous line if it doesn't have one?
// That's hard with regex replace on the closing brace only.
// Alternative: Split by lines and process.
return match; // Placeholder, we will process by lines below.
});
const lines = content.split('\n');
const processedLines = [];
let currentLang = null;
for (let i = 0; i < lines.length; i++) {
let line = lines[i];
// Detect start of language block
const startMatch = line.match(/^\s{2}(['"]?[\w-]+['"]?): \{/);
if (startMatch) {
currentLang = startMatch[1].replace(/['"]/g, '');
}
// Detect end of language block
if (currentLang && (line.trim() === '},' || line.trim() === '}')) {
if (currentLang !== 'pl' && currentLang !== 'en') {
// Ensure previous line has comma
if (processedLines.length > 0) {
let lastLine = processedLines[processedLines.length - 1];
if (!lastLine.trim().endsWith(',') && !lastLine.trim().endsWith('{')) {
processedLines[processedLines.length - 1] = lastLine + ',';
}
}
// Append new keys
Object.entries(newKeys).forEach(([key, value]) => {
processedLines.push(` '${key}': '${value}',`);
});
// Remove trailing comma from last inserted item if we want strictly JSON-like (but JS allows it)
// It's fine to leave it.
}
currentLang = null;
}
processedLines.push(line);
}
const finalContent = processedLines.join('\n');
fs.writeFileSync(filePath, finalContent);
console.log('Successfully added simulation translations to all languages.');

View File

@@ -14,6 +14,7 @@ const fillRate = ref(50);
const errorMsg = ref('');
const difficultyCanvas = ref(null);
const isDragging = ref(false);
const cachedBackground = ref(null);
const drawMap = () => {
const canvas = difficultyCanvas.value;
@@ -25,46 +26,42 @@ const drawMap = () => {
// Clear
ctx.clearRect(0, 0, width, height);
// Draw Gradient Background
// Optimization: Create an image data once if static, but here it's small enough.
const imgData = ctx.createImageData(width, height);
const data = imgData.data;
// Use cached background if available
if (cachedBackground.value) {
ctx.putImageData(cachedBackground.value, 0, 0);
} else {
// Draw Gradient Background (Heavy calculation)
const imgData = ctx.createImageData(width, height);
const data = imgData.data;
// Ranges:
// X: Fill Rate 10% -> 90%
// Y: Size 5 -> 80
for (let y = 0; y < height; y++) {
for (let x = 0; x < width; x++) {
// Map x, y to fillRate, size
// y=0 -> size 80 (top), y=height -> size 5 (bottom)
// x=0 -> fill 10%, x=width -> fill 90%
// Ranges:
// X: Fill Rate 10% -> 90%
// Y: Size 5 -> 80
const normalizedX = x / width;
const normalizedY = 1 - (y / height); // 0 at bottom, 1 at top
const fRate = 0.1 + normalizedX * 0.8; // 0.1 to 0.9
const sSize = 5 + normalizedY * 75; // 5 to 80
const { value } = calculateDifficulty(fRate, sSize);
// Color Mapping:
// Green (0%) -> Yellow (50%) -> Red (100%)
// Hue: 120 -> 0
const hue = 120 * (1 - value / 100);
// Convert HSL to RGB (Simplified)
// Saturation 100%, Lightness 50%
const [r, g, b] = hslToRgb(hue / 360, 1, 0.5);
const index = (y * width + x) * 4;
data[index] = r;
data[index + 1] = g;
data[index + 2] = b;
data[index + 3] = 255; // Alpha
}
for (let y = 0; y < height; y++) {
for (let x = 0; x < width; x++) {
const normalizedX = x / width;
const normalizedY = 1 - (y / height); // 0 at bottom, 1 at top
const fRate = 0.1 + normalizedX * 0.8; // 0.1 to 0.9
const sSize = 5 + normalizedY * 75; // 5 to 80
const { value } = calculateDifficulty(fRate, sSize);
// Color Mapping
const hue = 120 * (1 - value / 100);
const [r, g, b] = hslToRgb(hue / 360, 1, 0.5);
const index = (y * width + x) * 4;
data[index] = r;
data[index + 1] = g;
data[index + 2] = b;
data[index + 3] = 255; // Alpha
}
}
ctx.putImageData(imgData, 0, 0);
cachedBackground.value = imgData;
}
ctx.putImageData(imgData, 0, 0);
// Draw current position
// Map current fillRate/size to x,y
@@ -166,6 +163,8 @@ const showAdvanced = ref(false);
const toggleAdvanced = () => {
showAdvanced.value = !showAdvanced.value;
if (showAdvanced.value) {
// Reset cache when opening to ensure size is correct if canvas resized
cachedBackground.value = null;
nextTick(drawMap);
}
};
@@ -306,7 +305,7 @@ const confirm = () => {
<div class="advanced-toggle">
<button class="btn-text" @click="toggleAdvanced">
{{ showAdvanced ? 'Ukryj mapę trudności' : 'Pokaż mapę trudności' }}
{{ showAdvanced ? t('custom.hideMap') : t('custom.showMap') }}
</button>
</div>

View File

@@ -3,9 +3,11 @@
import { ref, computed } from 'vue';
import { generateRandomGrid, calculateHints } from '@/utils/puzzleUtils';
import { solvePuzzle } from '@/utils/solver';
import { useI18n } from '@/composables/useI18n';
import { X, Play, Square, RotateCcw } from 'lucide-vue-next';
const emit = defineEmits(['close']);
const { t } = useI18n();
const SIZES = [5, 10, 15, 20, 25, 30, 35, 40, 45, 50];
const DENSITIES = [0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9];
@@ -13,12 +15,17 @@ const SAMPLES_PER_POINT = 10; // Reduced for web performance demo
const isRunning = ref(false);
const progress = ref(0);
const currentStatus = ref('Ready');
const currentStatus = ref('');
const results = ref([]);
const simulationSpeed = ref(1); // 1 = Normal, 2 = Fast (less render updates)
let stopRequested = false;
const displayStatus = computed(() => {
if (!currentStatus.value) return t('simulation.status.ready');
return currentStatus.value;
});
const startSimulation = async () => {
if (isRunning.value) return;
isRunning.value = true;
@@ -32,12 +39,15 @@ const startSimulation = async () => {
for (const size of SIZES) {
for (const density of DENSITIES) {
if (stopRequested) {
currentStatus.value = 'Stopped';
currentStatus.value = t('simulation.status.stopped');
isRunning.value = false;
return;
}
currentStatus.value = `Simulating ${size}x${size} @ ${(density * 100).toFixed(0)}%`;
currentStatus.value = t('simulation.status.simulating', {
size: size,
density: (density * 100).toFixed(0)
});
let totalSolved = 0;
@@ -66,7 +76,7 @@ const startSimulation = async () => {
}
isRunning.value = false;
currentStatus.value = 'Completed';
currentStatus.value = t('simulation.status.completed');
};
const stopSimulation = () => {
@@ -86,7 +96,7 @@ const getRowColor = (solved) => {
<div class="modal-overlay" @click.self="emit('close')">
<div class="modal glass-panel">
<div class="header">
<h2>Difficulty Simulation</h2>
<h2>{{ t('simulation.title') }}</h2>
<button class="close-btn" @click="emit('close')">
<X />
</button>
@@ -95,7 +105,7 @@ const getRowColor = (solved) => {
<div class="content">
<div class="controls">
<div class="status-bar">
<div class="status-text">{{ currentStatus }}</div>
<div class="status-text">{{ displayStatus }}</div>
<div class="progress-track">
<div class="progress-fill" :style="{ width: progress + '%' }"></div>
</div>
@@ -103,10 +113,10 @@ const getRowColor = (solved) => {
<div class="actions">
<button v-if="!isRunning" class="btn-neon" @click="startSimulation">
<Play class="icon" /> Start Simulation
<Play class="icon" /> {{ t('simulation.start') }}
</button>
<button v-else class="btn-neon secondary" @click="stopSimulation">
<Square class="icon" /> Stop
<Square class="icon" /> {{ t('simulation.stop') }}
</button>
</div>
</div>
@@ -115,9 +125,9 @@ const getRowColor = (solved) => {
<table class="results-table">
<thead>
<tr>
<th>Size</th>
<th>Density</th>
<th>Solved (Logic)</th>
<th>{{ t('simulation.table.size') }}</th>
<th>{{ t('simulation.table.density') }}</th>
<th>{{ t('simulation.table.solved') }}</th>
</tr>
</thead>
<tbody>
@@ -129,7 +139,7 @@ const getRowColor = (solved) => {
</tbody>
</table>
<div v-if="results.length === 0" class="empty-state">
Press Start to run Monte Carlo simulation
{{ t('simulation.empty') }}
</div>
</div>
</div>

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