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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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@ -24,12 +24,16 @@
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#pragma once
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#include <string>
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#include <vector>
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namespace dev
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{
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/// Calculates the Damerau–Levenshtein distance between @a _name1 and @a _name2 and
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/// @returns true if that distance is not greater than @a _maxDistance
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bool stringWithinDistance(std::string const& _name1, std::string const& _name2, size_t _maxDistance);
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// Calculates the Damerau–Levenshtein distance between _str1 and _str2 and returns true if that distance is not greater than _maxDistance
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bool stringWithinDistance(std::string const& _str1, std::string const& _str2, size_t _maxDistance);
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// Calculates the Damerau–Levenshtein distance between _str1 and _str2
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size_t stringDistance(std::string const& _str1, std::string const& _str2);
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// Return a string having elements of suggestions as quoted, alternative suggestions. e.g. "a", "b" or "c"
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std::string quotedAlternativesList(std::vector<std::string> const& suggestions);
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}
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@ -119,20 +119,19 @@ vector<Declaration const*> DeclarationContainer::resolveName(ASTString const& _n
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vector<ASTString> DeclarationContainer::similarNames(ASTString const& _name) const
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{
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static size_t const MAXIMUM_EDIT_DISTANCE = 2;
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vector<ASTString> similar;
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for (auto const& declaration: m_declarations)
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{
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string const& declarationName = declaration.first;
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if (stringWithinDistance(_name, declarationName, MAXIMUM_DISTANCE))
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if (stringWithinDistance(_name, declarationName, MAXIMUM_EDIT_DISTANCE))
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similar.push_back(declarationName);
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}
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if (m_enclosingContainer)
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{
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vector<ASTString> enclosingSimilar = m_enclosingContainer->similarNames(_name);
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similar.insert(similar.end(), enclosingSimilar.begin(), enclosingSimilar.end());
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}
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similar += m_enclosingContainer->similarNames(_name);
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return similar;
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}
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@ -68,7 +68,6 @@ private:
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std::map<ASTString, std::vector<Declaration const*>> m_declarations;
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std::map<ASTString, std::vector<Declaration const*>> m_invisibleDeclarations;
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static size_t const MAXIMUM_DISTANCE = 2;
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};
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}
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@ -25,6 +25,7 @@
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#include <libsolidity/ast/AST.h>
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#include <libsolidity/analysis/TypeChecker.h>
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#include <libsolidity/interface/ErrorReporter.h>
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#include <libdevcore/StringUtils.h>
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#include <boost/algorithm/string.hpp>
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@ -427,19 +428,7 @@ vector<_T const*> NameAndTypeResolver::cThreeMerge(list<list<_T const*>>& _toMer
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string NameAndTypeResolver::similarNameSuggestions(ASTString const& _name) const
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{
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vector<ASTString> suggestions = m_currentScope->similarNames(_name);
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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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return quotedAlternativesList(m_currentScope->similarNames(_name));
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}
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DeclarationRegistrationHelper::DeclarationRegistrationHelper(
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@ -50,6 +50,38 @@ BOOST_AUTO_TEST_CASE(test_similarity)
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BOOST_CHECK_EQUAL(stringWithinDistance("", "", 2), true);
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}
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BOOST_AUTO_TEST_CASE(test_dldistance)
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{
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BOOST_CHECK_EQUAL(stringDistance("hello", "hellw"), 1);
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BOOST_CHECK_EQUAL(stringDistance("hello", "helol"), 1);
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BOOST_CHECK_EQUAL(stringDistance("hello", "helo"), 1);
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BOOST_CHECK_EQUAL(stringDistance("hello", "helllo"), 1);
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BOOST_CHECK_EQUAL(stringDistance("hello", "hlllo"), 1);
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BOOST_CHECK_EQUAL(stringDistance("hello", "hllllo"), 2);
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BOOST_CHECK_EQUAL(stringDistance("a", ""), 1);
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BOOST_CHECK_EQUAL(stringDistance("abc", "ba"), 2);
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BOOST_CHECK_EQUAL(stringDistance("abc", "abcdef"), 3);
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BOOST_CHECK_EQUAL(stringDistance("abcd", "wxyz"), 4);
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BOOST_CHECK_EQUAL(stringDistance("", ""), 0);
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BOOST_CHECK_EQUAL(stringDistance("abcdefghijklmnopqrstuvwxyz", "abcabcabcabcabcabcabcabca"), 23);
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}
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BOOST_AUTO_TEST_CASE(test_alternatives_list)
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{
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vector<string> strings;
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BOOST_CHECK_EQUAL(quotedAlternativesList(strings), "");
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strings.push_back("a");
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BOOST_CHECK_EQUAL(quotedAlternativesList(strings), "\"a\"");
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strings.push_back("b");
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BOOST_CHECK_EQUAL(quotedAlternativesList(strings), "\"a\" or \"b\"");
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strings.push_back("c");
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BOOST_CHECK_EQUAL(quotedAlternativesList(strings), "\"a\", \"b\" or \"c\"");
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strings.push_back("d");
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BOOST_CHECK_EQUAL(quotedAlternativesList(strings), "\"a\", \"b\", \"c\" or \"d\"");
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}
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BOOST_AUTO_TEST_SUITE_END()
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}
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