This resolves a long-standing issue: we could not use proper include paths for test-helper code that was defined alongside the tests. Since some test-helper code must now be relocated into the »Vault«-Layer, I took the opportunity to finally resolve this annoyance. The solution is two-fold * introduce a dedicated test-support library * remove the quirks that were necessary to support some plain-C tests Together, this allows to raise the include-directory by one level, and then to adjust all folder names so that they match the namespace
216 lines
8.7 KiB
C++
216 lines
8.7 KiB
C++
/*
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IterChainSearch(Test) - verify chained search operations with backtracking
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Copyright (C)
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2018, Hermann Vosseler <Ichthyostega@web.de>
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**Lumiera** is free software; you can redistribute it and/or modify it
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under the terms of the GNU General Public License as published by the
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Free Software Foundation; either version 2 of the License, or (at your
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option) any later version. See the file COPYING for further details.
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* *****************************************************************/
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/** @file iter-chain-search-test.cpp
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** unit test \ref IterChainSearch_test
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*/
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#include "test/run.hpp"
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#include "test/test-helper.hpp"
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#include "lib/format-util.hpp"
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#include "lib/iter-chain-search.hpp"
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#include "lib/iter-cursor.hpp"
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#include "lib/util.hpp"
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#include <vector>
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#include <string>
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namespace lib {
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namespace iter{
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namespace test{
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using ::Test;
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using util::join;
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using util::isnil;
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using util::startsWith;
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using util::isSameObject;
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using std::vector;
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using std::string;
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using LERR_(ITER_EXHAUST);
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namespace { // test fixture
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using Spam = vector<string>;
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const Spam SPAM{"spam"
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,"sausage"
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,"spam"
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,"spam"
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,"bacon"
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,"spam"
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,"tomato"
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,"and"
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,"spam"
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};
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/** Diagnostic helper: join all the elements from a _copy_ of the iterator */
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template<class II>
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inline string
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materialise (II&& ii)
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{
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return util::join (std::forward<II> (ii), "-");
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}
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}// (END)fixture
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/*****************************************************************//**
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* @test verify a setup for consecutive searches with backtracking.
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* - demonstrate simple consecutive matches and iterator behaviour
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* - clear the filter underway and thus return to simple iteration
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* - set up two conditions, the second one capturing state at the
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* point where the first one matches
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* - wrap a lib::IterCursor, which allows to toggle the search
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* direction underway; this creates a situation where the
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* first options picked do not lead to a successful solution,
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* so the search has to track back, try further options and
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* in each case re-apply all the following consecutive
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* search conditions.
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*
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* @see iter-chain-search.hpp
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* @see iter-cursor.hpp
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* @see [usage example](\ref event-log.hpp)
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*/
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class IterChainSearch_test : public Test
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{
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virtual void
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run (Arg)
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{
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simpleSearch();
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chainedIteration();
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backtracking();
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}
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/** @test simple basic use case. */
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void
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simpleSearch ()
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{
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auto search = chainSearch(SPAM)
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.search("bacon")
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.search("tomato");
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CHECK (search);
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CHECK (not isnil(search));
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CHECK ("tomato" == *search);
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CHECK (isSameObject (*search, SPAM[6]));
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search.clearFilter();
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CHECK ("tomato" == *search);
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++search;
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CHECK ("and" == *search);
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search.search("spam");
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CHECK ("spam" == *search);
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CHECK (isSameObject (*search, SPAM[8]));
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++search;
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CHECK (not search);
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CHECK (isnil (search));
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VERIFY_ERROR (ITER_EXHAUST, *search);
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}
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/** @test verify consecutive application of several functors on the underlying filter.
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* In the general case, each step in the chain is a function working on a copy of the
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* current filter state. Since each such step configures its own copy of the complete
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* pipeline, it may reconfigure this filter pipeline in arbitrary ways. After exhausting
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* the last layer, the evaluation returns to the previous layer, but immediately re-applies
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* the configuration step on the then next element.
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*/
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void
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chainedIteration ()
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{
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auto search = chainSearch(SPAM) // Note: 1st filter step picks all s-words
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.search([](string const& str){ return startsWith (str, "s"); });
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CHECK (materialise (search) =="spam-sausage-spam-spam-spam-spam");
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CHECK ("spam" == *search);
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search.addStep([](auto& filter)
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{ // Note: pick the current value at the point
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string currVal = *filter; // where the 2nd filter step is (re)applied
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filter.setNewFilter ([=](string const& val) // ...and bake this value into the lambda closure
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{
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return val != currVal;
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});
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});
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CHECK ("sausage" == *search);
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CHECK (materialise (search)
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== "sausage-bacon-tomato-and-" // everything in the rest, which is not "spam"
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"spam-spam-bacon-spam-tomato-and-spam-" // everything starting at "sausage" which is not "sausage"
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"bacon-tomato-and-" // any non-spam behind the 2nd spam
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"bacon-tomato-and-" // any non-spam behind the 3rd spam
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"tomato-and" // any non-spam behind the 4th spam
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""); // and any non-spam behind the final spam
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}
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/** @test verify a complex search with backtracking.
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* This becomes relevant when a given search condition can be "too greedy" for the
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* complete chain to succeed. Most notably this is the case when the search is fundamentally
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* reconfigured in some steps, e.g. by switching the search orientation. To demonstrate this,
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* we use a "gear switching" iterator, which allows us to reverse the direction and to search
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* backwards from the current position. We configure the second condition in the chain such
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* that it can not succeed when starting from the first match on the first condition
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*/
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void
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backtracking ()
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{
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using Cursor = IterCursor<decltype(SPAM.begin())>;
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auto search = chainSearch(Cursor{SPAM.begin(), SPAM.end()})
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.search("spam")
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.addStep([](auto& filter)
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{
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filter.switchBackwards(); // switch search direction without moving the cursor
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filter.flipFilter(); // flip from match on "spam" to match on non-spam
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})
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.addStep([](auto& filter)
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{ // filter is still configured to search non-spam backwards
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++filter; // just "advance" this filter by one step (backward)
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});
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CHECK (materialise (search) // Layer-0: 1-3 spam fail altogether, too greedy. Try 4rd spam....
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// Layer-1: turn back, toggle to non-spam, find bacon
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== "sausage-" // Layer-2: non-spam and one step further backwards yields sausage
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//
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// BACKTRACK to Layer-0: pick 5th (and last) spam...
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// Layer-1: turn back, toggle to non-spam, find "and"
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"tomato-bacon-sausage-" // Layer-2: non-spam and one step back yields tomato, next bacon, next sausage.
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// BACKTRACK to Layer-1: take previous one, which is tomato
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"bacon-sausage-" // Layer-2: non-spam and one step further back yields bacon, then next sausage.
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// BACKTRACK to Layer-1: take previous non-spam, which is bacon
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"sausage" // Layer-2: non-spam and one step further back yields sausage.
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""); // BACKTRACK to Layer-1: exhausted, BACKTRACK to Layer-0: exhausted. Done.
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}
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};
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LAUNCHER (IterChainSearch_test, "unit common");
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}}} // namespace lib::iter::test
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