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Full rewrite: use base32 polynomial hash to represent words
Refactor because dictionary comparison in very expensive, using polynomial hashes reduces those by a lot, but makes extracting bits harder, so use base32 and bitify. # of Wires: 23122 +0ms # of Constraints: 22172 +0ms # of Private Inputs: 7 +0ms # of Public Inputs: 1000 +0ms # of Labels: 76462 +0ms Made me revaluate life :)
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include "words.circom" | ||
include "lines.circom" | ||
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template Main(LINE_SIZE, DICTIONARY_SIZE, WORD_SIZE, FIG_SIZE, SIDE_SIZE) { | ||
signal private input line[LINE_SIZE][WORD_SIZE]; | ||
signal input figure[FIG_SIZE][SIDE_SIZE]; | ||
signal input dictionary[DICTIONARY_SIZE][WORD_SIZE]; | ||
template Main(LINE_SIZE, WORD_SIZE, BIT_SIZE, DICTIONARY_SIZE, FIG_SIZE, SIDE_SIZE) { | ||
signal private input line[LINE_SIZE]; | ||
signal input dictionary[DICTIONARY_SIZE]; | ||
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component extractor[LINE_SIZE]; | ||
for (var i = 0;i < LINE_SIZE;i++) extractor[i] = CharExtractor(WORD_SIZE, 5); | ||
for (var i = 0;i < LINE_SIZE;i++) extractor[i].poly <== line[i]; | ||
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component is_padding[LINE_SIZE]; | ||
for (var i = 0;i < LINE_SIZE;i++) is_padding[i] = IsPadding(); | ||
for (var i = 0;i < LINE_SIZE;i++) { | ||
is_padding[i].first_char <== line[i][0]; | ||
} | ||
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component validator[LINE_SIZE]; | ||
component validator_or_padding[LINE_SIZE]; | ||
for (var i = 0;i < LINE_SIZE;i++) { | ||
validator[i] = IsWordValid(WORD_SIZE); | ||
validator_or_padding[i] = OR(); | ||
} | ||
for (var i = 0;i < LINE_SIZE;i++) { | ||
for (var j = 0;j < WORD_SIZE;j++) validator[i].word[j] <== line[i][j]; | ||
validator_or_padding[i].a <== validator[i].out; | ||
validator_or_padding[i].b <== is_padding[i].out; | ||
validator_or_padding[i].out === 1; | ||
is_padding[i].first_char <== extractor[i].out[0]; | ||
} | ||
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component checker[LINE_SIZE]; | ||
component checker_or_padding[LINE_SIZE]; | ||
for (var i = 0;i < LINE_SIZE;i++) { | ||
checker[i] = InDictionary(DICTIONARY_SIZE, WORD_SIZE); | ||
checker[i] = InDictionary(DICTIONARY_SIZE); | ||
checker_or_padding[i] = OR(); | ||
} | ||
for (var i = 0;i < LINE_SIZE;i++) { | ||
for (var j = 0;j < DICTIONARY_SIZE;j++) { | ||
for (var k = 0;k < WORD_SIZE;k++) { | ||
checker[i].dictionary[j][k] <== dictionary[j][k]; | ||
} | ||
checker[i].dictionary[j] <== dictionary[j]; | ||
} | ||
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for (var j = 0;j < WORD_SIZE;j++) { | ||
checker[i].word[j] <== line[i][j]; | ||
} | ||
checker[i].word <== line[i]; | ||
checker_or_padding[i].a <== checker[i].out; | ||
checker_or_padding[i].b <== is_padding[i].out; | ||
checker_or_padding[i].out === 1; | ||
} | ||
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component continuity = IsContinual(LINE_SIZE, WORD_SIZE); | ||
component continuity = IsContinual(LINE_SIZE, WORD_SIZE, BIT_SIZE); | ||
for (var i = 0;i < LINE_SIZE;i++) { | ||
continuity.padding[i] <== is_padding[i].out; | ||
for (var j = 0;j < WORD_SIZE;j++) continuity.words[i][j] <== line[i][j]; | ||
for (var j = 0;j < WORD_SIZE;j++) continuity.words[i][j] <== extractor[i].out[j]; | ||
} | ||
continuity.out === 1; | ||
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component crossing[LINE_SIZE]; | ||
component crossing_or_padding[LINE_SIZE]; | ||
for (var i = 0;i < LINE_SIZE;i++) { | ||
crossing[i] = IsNotCrossing(WORD_SIZE, FIG_SIZE, SIDE_SIZE); | ||
crossing_or_padding[i] = OR(); | ||
} | ||
for (var i = 0;i < LINE_SIZE;i++) { | ||
for (var j = 0;j < WORD_SIZE;j++) crossing[i].word[j] <== line[i][j]; | ||
for (var j = 0;j < FIG_SIZE;j++) { | ||
for (var k = 0;k < SIDE_SIZE;k++) crossing[i].figure[j][k] <== figure[j][k]; | ||
} | ||
crossing_or_padding[i].a <== crossing[i].out; | ||
crossing_or_padding[i].b <== is_padding[i].out; | ||
crossing_or_padding[i].out === 1; | ||
} | ||
} | ||
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component main = Main(3, 3, 3, 3, 2); | ||
component main = Main(7, 6, 5, 1000, 4, 3); |
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@@ -1,5 +1 @@ | ||
{ | ||
"line": [[2, 0, 1], [1, 0, 2], [28, 28, 28]], | ||
"figure": [[0, 3], [1, 4], [2, 5]], | ||
"dictionary": [[2, 0, 1], [0, 1, 27], [1, 0, 2]] | ||
} | ||
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