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https://github.com/ethereum/solidity
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Restructure code for alternative identifier suggestions
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@@ -29,16 +29,24 @@
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using namespace std;
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using namespace dev;
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namespace dev
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bool dev::stringWithinDistance(string const& _str1, string const& _str2, size_t _maxDistance)
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{
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bool stringWithinDistance(string const& _name1, string const& _name2, size_t _maxDistance)
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{
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if (_name1 == _name2)
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if (_str1 == _str2)
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return true;
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size_t n1 = _name1.size(), n2 = _name2.size();
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vector<vector<size_t>> dp(n1 + 1, vector<size_t>(n2 + 1));
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size_t n1 = _str1.size(), n2 = _str2.size();
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size_t distance = stringDistance(_str1, _str2);
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// if distance is not greater than _maxDistance, and distance is strictly less than length of both names, they can be considered similar
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// this is to avoid irrelevant suggestions
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return distance <= _maxDistance && distance < n1 && distance < n2;
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}
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size_t dev::stringDistance(string const& _str1, string const& _str2)
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{
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size_t n1 = _str1.size(), n2 = _str2.size();
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// Optimize by storing only last 2 rows and current row. So first index is considered modulo 3
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vector<vector<size_t>> dp(3, vector<size_t>(n2 + 1));
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// In this dp formulation of Damerau–Levenshtein distance we are assuming that the strings are 1-based to make base case storage easier.
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// So index accesser to _name1 and _name2 have to be adjusted accordingly
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@@ -46,32 +54,37 @@ bool stringWithinDistance(string const& _name1, string const& _name2, size_t _ma
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{
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for (size_t i2 = 0; i2 <= n2; ++i2)
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{
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if (min(i1, i2) == 0)
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// Base case
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dp[i1][i2] = max(i1, i2);
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else
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{
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dp[i1][i2] = min(dp[i1 - 1][i2] + 1, dp[i1][i2 - 1] + 1);
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// Deletion and insertion
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if (_name1[i1 - 1] == _name2[i2 - 1])
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// Same chars, can skip
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dp[i1][i2] = min(dp[i1][i2], dp[i1 - 1][i2 - 1]);
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if (min(i1, i2) == 0) // base case
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dp[i1 % 3][i2] = max(i1, i2);
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else
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// Different chars so try substitution
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dp[i1][i2] = min(dp[i1][i2], dp[i1 - 1][i2 - 1] + 1);
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{
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dp[i1 % 3][i2] = min(dp[(i1-1) % 3][i2] + 1, dp[i1 % 3][i2-1] + 1); // deletion and insertion
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if (_str1[i1-1] == _str2[i2-1]) // same chars, can skip
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dp[i1 % 3][i2] = min(dp[i1 % 3][i2], dp[(i1-1) % 3][i2-1]);
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else // different chars so try substitution
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dp[i1 % 3][i2] = min(dp[i1 % 3][i2], dp[(i1-1) % 3][i2-1] + 1);
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if (i1 > 1 && i2 > 1 && _name1[i1 - 1] == _name2[i2 - 2] && _name1[i1 - 2] == _name2[i2 - 1])
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// Try transposing
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dp[i1][i2] = min(dp[i1][i2], dp[i1 - 2][i2 - 2] + 1);
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}
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if (i1 > 1 && i2 > 1 && _str1[i1-1] == _str2[i2-2] && _str1[i1-2] == _str2[i2-1]) // Try transposing
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dp[i1 % 3][i2] = min(dp[i1 % 3][i2], dp[(i1-2) % 3][i2-2] + 1);
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}
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}
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}
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size_t distance = dp[n1][n2];
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// if distance is not greater than _maxDistance, and distance is strictly less than length of both names,
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// they can be considered similar this is to avoid irrelevant suggestions
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return distance <= _maxDistance && distance < n1 && distance < n2;
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return dp[n1 % 3][n2];
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}
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string dev::quotedAlternativesList(vector<string> const& suggestions) {
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if (suggestions.empty())
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return "";
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if (suggestions.size() == 1)
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return "\"" + suggestions.front() + "\"";
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string choices = "\"" + suggestions.front() + "\"";
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for (size_t i = 1; i + 1 < suggestions.size(); ++i)
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choices += ", \"" + suggestions[i] + "\"";
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choices += " or \"" + suggestions.back() + "\"";
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return choices;
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}
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