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regex_executor.tcc: Add comments.
2013-10-28 Tim Shen <timshen91@gmail.com> * regex_executor.tcc: Add comments. From-SVN: r204117
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@ -1,3 +1,7 @@
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2013-10-28 Tim Shen <timshen91@gmail.com>
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* regex_executor.tcc: Add comments.
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2013-10-26 Tim Shen <timshen91@gmail.com>
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2013-10-26 Tim Shen <timshen91@gmail.com>
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* include/bits/regex.h: Remove unnecessary friends.
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* include/bits/regex.h: Remove unnecessary friends.
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@ -53,6 +53,49 @@ _GLIBCXX_BEGIN_NAMESPACE_VERSION
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return false;
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return false;
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}
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}
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// This function operates in different modes, DFS mode or BFS mode, indicated
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// by template parameter __dfs_mode. See _M_main for details.
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//
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// ------------------------------------------------------------
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//
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// DFS mode:
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//
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// It applies a Depth-First-Search (aka backtracking) on given NFA and input
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// string.
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// At the very beginning the executor stands in the start state, then it tries
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// every possible state transition in current state recursively. Some state
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// transitions consume input string, say, a single-char-matcher or a
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// back-reference matcher; some don't, like assertion or other anchor nodes.
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// When the input is exhausted and/or the current state is an accepting state,
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// the whole executor returns true.
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//
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// TODO: This approach is exponentially slow for certain input.
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// Try to compile the NFA to a DFA.
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//
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// Time complexity: o(match_length), O(2^(_M_nfa.size()))
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// Space complexity: \theta(match_results.size() + match_length)
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//
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// ------------------------------------------------------------
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//
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// BFS mode:
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//
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// Russ Cox's article (http://swtch.com/~rsc/regexp/regexp1.html)
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// explained this algorithm clearly.
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//
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// It first computes epsilon closure for every state that's still matching,
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// using the same DFS algorithm, but doesn't reenter states (set true in
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// _M_visited), nor follows _S_opcode_match.
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//
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// Then apply DFS using every _S_opcode_match (in _M_match_queue) as the start
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// state.
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//
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// It significantly reduces potential duplicate states, so has a better
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// upper bound; but it requires more overhead.
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//
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// Time complexity: o(match_length * match_results.size())
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// O(match_length * _M_nfa.size() * match_results.size())
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// Space complexity: o(_M_nfa.size() + match_results.size())
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// O(_M_nfa.size() * match_results.size())
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template<typename _BiIter, typename _Alloc, typename _TraitsT,
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template<typename _BiIter, typename _Alloc, typename _TraitsT,
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bool __dfs_mode>
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bool __dfs_mode>
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template<bool __match_mode>
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template<bool __match_mode>
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@ -68,18 +111,6 @@ _GLIBCXX_BEGIN_NAMESPACE_VERSION
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}
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}
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else
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else
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{
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{
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// Like the DFS approach, it try every possible state transition;
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// Unlike DFS, it uses a queue instead of a stack to store matching
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// states. It's a BFS approach.
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//
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// Russ Cox's article(http://swtch.com/~rsc/regexp/regexp1.html)
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// explained this algorithm clearly.
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//
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// Time complexity: o(match_length * match_results.size())
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// O(match_length * _M_nfa.size()
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// * match_results.size())
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// Space complexity: o(_M_nfa.size() + match_results.size())
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// O(_M_nfa.size() * match_results.size())
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_M_match_queue->push(make_pair(_M_start_state, _M_results));
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_M_match_queue->push(make_pair(_M_start_state, _M_results));
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bool __ret = false;
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bool __ret = false;
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while (1)
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while (1)
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@ -132,20 +163,6 @@ _GLIBCXX_BEGIN_NAMESPACE_VERSION
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return false;
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return false;
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}
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}
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// A _DFSExecutor perform a DFS on given NFA and input string. At the very
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// beginning the executor stands in the start state, then it try every
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// possible state transition in current state recursively. Some state
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// transitions consume input string, say, a single-char-matcher or a
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// back-reference matcher; some not, like assertion or other anchor nodes.
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// When the input is exhausted and the current state is an accepting state,
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// the whole executor return true.
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//
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// TODO: This approach is exponentially slow for certain input.
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// Try to compile the NFA to a DFA.
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//
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// Time complexity: o(match_length), O(2^(_M_nfa.size()))
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// Space complexity: \theta(match_results.size() + match_length)
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//
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template<typename _BiIter, typename _Alloc, typename _TraitsT,
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template<typename _BiIter, typename _Alloc, typename _TraitsT,
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bool __dfs_mode>
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bool __dfs_mode>
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template<bool __match_mode>
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template<bool __match_mode>
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@ -160,29 +177,44 @@ _GLIBCXX_BEGIN_NAMESPACE_VERSION
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}
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}
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const auto& __state = _M_nfa[__i];
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const auto& __state = _M_nfa[__i];
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// Every change on _M_cur_results and _M_current will be rolled back after
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// finishing the recursion step.
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switch (__state._M_opcode)
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switch (__state._M_opcode)
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{
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{
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// _M_alt branch is "match once more", while _M_next is "get me out
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// of this quantifier". Executing _M_next first or _M_alt first don't
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// mean the same thing, and we need to choose the correct order under
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// given greedy mode.
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case _S_opcode_alternative:
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case _S_opcode_alternative:
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// Greedy or not, this is a question ;)
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// Greedy.
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if (!__state._M_neg)
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if (!__state._M_neg)
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{
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{
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// "Once more" is preferred in greedy mode.
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_M_dfs<__match_mode>(__state._M_alt);
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_M_dfs<__match_mode>(__state._M_alt);
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// If it's DFS executor and already accepted, we're done.
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if (!__dfs_mode || !_M_has_sol)
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if (!__dfs_mode || !_M_has_sol)
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_M_dfs<__match_mode>(__state._M_next);
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_M_dfs<__match_mode>(__state._M_next);
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}
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}
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else
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else // Non-greedy mode
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{
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{
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if (__dfs_mode)
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if (__dfs_mode)
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{
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{
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// vice-versa.
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_M_dfs<__match_mode>(__state._M_next);
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_M_dfs<__match_mode>(__state._M_next);
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if (!_M_has_sol)
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if (!_M_has_sol)
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_M_dfs<__match_mode>(__state._M_alt);
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_M_dfs<__match_mode>(__state._M_alt);
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}
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}
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else
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else
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{
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{
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// DON'T attempt anything, because there's already another
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// state with higher priority accepted. This state cannot be
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// better by attempting its next node.
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if (!_M_has_sol)
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if (!_M_has_sol)
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{
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{
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_M_dfs<__match_mode>(__state._M_next);
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_M_dfs<__match_mode>(__state._M_next);
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// DON'T attempt anything if it's already accepted. An
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// accepted state *must* be better than a solution that
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// matches a non-greedy quantifier one more time.
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if (!_M_has_sol)
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if (!_M_has_sol)
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_M_dfs<__match_mode>(__state._M_alt);
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_M_dfs<__match_mode>(__state._M_alt);
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}
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}
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@ -190,12 +222,9 @@ _GLIBCXX_BEGIN_NAMESPACE_VERSION
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}
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}
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break;
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break;
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case _S_opcode_subexpr_begin:
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case _S_opcode_subexpr_begin:
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// Here's the critical part: if there's nothing changed since last
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// If there's nothing changed since last visit, do NOT continue.
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// visit, do NOT continue. This prevents the executor from get into
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// This prevents the executor from get into infinite loop when using
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// infinite loop when use "()*" to match "".
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// "()*" to match "".
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//
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// Every change on _M_cur_results will be roll back after the
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// recursion step finished.
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if (!_M_cur_results[__state._M_subexpr].matched
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if (!_M_cur_results[__state._M_subexpr].matched
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|| _M_cur_results[__state._M_subexpr].first != _M_current)
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|| _M_cur_results[__state._M_subexpr].first != _M_current)
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{
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{
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@ -232,8 +261,8 @@ _GLIBCXX_BEGIN_NAMESPACE_VERSION
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if (_M_word_boundry(__state) == !__state._M_neg)
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if (_M_word_boundry(__state) == !__state._M_neg)
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_M_dfs<__match_mode>(__state._M_next);
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_M_dfs<__match_mode>(__state._M_next);
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break;
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break;
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// Here __state._M_alt offers a single start node for a sub-NFA.
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// Here __state._M_alt offers a single start node for a sub-NFA.
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// We recursivly invoke our algorithm to match the sub-NFA.
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// We recursively invoke our algorithm to match the sub-NFA.
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case _S_opcode_subexpr_lookahead:
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case _S_opcode_subexpr_lookahead:
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if (_M_lookahead(__state) == !__state._M_neg)
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if (_M_lookahead(__state) == !__state._M_neg)
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_M_dfs<__match_mode>(__state._M_next);
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_M_dfs<__match_mode>(__state._M_next);
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break;
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break;
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// First fetch the matched result from _M_cur_results as __submatch;
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// First fetch the matched result from _M_cur_results as __submatch;
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// then compare it with
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// then compare it with
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// (_M_current, _M_current + (__submatch.second - __submatch.first))
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// (_M_current, _M_current + (__submatch.second - __submatch.first)).
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// If matched, keep going; else just return to try another state.
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// If matched, keep going; else just return and try another state.
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case _S_opcode_backref:
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case _S_opcode_backref:
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{
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{
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_GLIBCXX_DEBUG_ASSERT(__dfs_mode);
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_GLIBCXX_DEBUG_ASSERT(__dfs_mode);
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