Well, finally. Lumiera Iterators were conceived as a concept from the very beginning, and this idea dates back even before C++11. Furthermore, over time some ''trait templates'' have been developed, to detect if some template argument might match the known pattern of functions associated with a Lumiera Iterator. Meanwhile this concept is used pervasively in the whole code base, and also the traits templates proved to be reliable. It therefore seems that the time is ripe to gradually introduce a genuine **concept** `lum_iter` I'll take a defensive approach here, since any mistake would lead to a massive breakage of compilation. The new concept is defined simply by delegating to to the tried-and-tested trait template, which is also renamed `can_IterForEach` ⟼ `can_LumieraIter` One immediate benefit is that the compiler is now able to select overloads based on that concept, which allows to drop the tricky selection of variants based on the SFINAE technique and `enable_if`. For validation, one very heavily used case of that pattern was switched in `lib/format-util.hpp', which notably lies in the code-path used by `util::join`
399 lines
13 KiB
C++
399 lines
13 KiB
C++
/*
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DataCSV(Test) - verify data table with CSV storage support
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Copyright (C)
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2009, 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 data-csv-test.cpp
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** unit test \ref DataCSV_test
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*/
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#include "test/run.hpp"
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#include "test/temp-dir.hpp"
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#include "test/test-helper.hpp"
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#include "lib/stat/data.hpp"
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#include "lib/time/timevalue.hpp"
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#include "lib/format-cout.hpp"
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#include "lib/util.hpp"
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#include <sstream>
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#include <string>
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#include <vector>
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using util::isnil;
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using lib::time::Time;
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using test::TempDir;
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using std::make_tuple;
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using std::string;
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using std::vector;
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namespace lib {
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namespace stat{
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namespace test{
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namespace {//Setup for test
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/** Define the layout of a data row */
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struct TableForm
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{
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Column<string> id{"ID"}; // ◁────── names given here must match first storage line
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Column<double> val{"Value"};
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Column<int> off{"Offset"};
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auto allColumns() // ◁────────── mandatory function; defines actual sequence of columns
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{ return std::tie(id
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,val
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,off
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);
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}
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};
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using TestTab = DataTable<TableForm>;
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}//(End)Test setup
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using error::LUMIERA_ERROR_STATE;
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/***********************************************************//**
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* @test Document and verify a data table component to maintain
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* measurement data series, backed by CSV storage.
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* @see data.hpp
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* @see csv.hpp
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* @see Statistic_test
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*/
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class DataCSV_test : public Test
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{
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void
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run (Arg)
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{
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simpleUsage();
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verify_rowHandling();
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verify_CSV_Format();
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verify_persistentDataFile();
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demonnstrate_CSV_Notation();
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}
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/** @test add rows and data to a table without filename. */
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void
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simpleUsage ()
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{
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TestTab tab;
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CHECK (isnil (tab));
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tab.newRow();
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CHECK (not isnil (tab));
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CHECK (1 == tab.size());
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CHECK ( "" == string{tab.id});
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CHECK (0.0 == tab.val);
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CHECK ( 0 == tab.off);
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tab.id = "one";
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tab.val = 1.0;
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tab.dupRow();
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CHECK (2 == tab.size());
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CHECK ("one" == string{tab.id});
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CHECK ( 1.0 == tab.val);
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CHECK ( 0 == tab.off);
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tab.id = "two";
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tab.val = 5.0;
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tab.off = -23;
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CHECK ("two" == string{tab.id});
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CHECK ( 5.0 == tab.val);
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CHECK ( -23 == tab.off);
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CHECK (tab.off.header == "Offset");
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CHECK (tab.off.data == vector({0,-23}));
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}
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void
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verify_rowHandling()
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{
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TestTab tab;
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CHECK (3 == tab.columnCnt);
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CHECK (isnil (tab));
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CHECK (0 == tab.size());
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CHECK (0 == tab.id.data.size());
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CHECK (0 == tab.val.data.size());
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CHECK (0 == tab.off.data.size());
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CHECK ("ID" == tab.id.header);
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CHECK ("Value" == tab.val.header);
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CHECK ("Offset" == tab.off.header);
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VERIFY_ERROR (STATE, tab.id.get() );
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VERIFY_ERROR (STATE, tab.val.get());
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VERIFY_ERROR (STATE, tab.off.get());
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VERIFY_ERROR (STATE, tab.off = 5 );
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VERIFY_ERROR (STATE, int(tab.off) );
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// direct access to the data is possible and tolerated
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tab.val.data.push_back (5.5);
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CHECK (tab.val == 5.5);
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VERIFY_ERROR (STATE, tab.off.get());
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CHECK (1 == tab.val.data.size());
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CHECK (0 == tab.off.data.size());
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CHECK (0 == tab.id.data.size());
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CHECK (0 == tab.size());
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CHECK (isnil (tab));
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tab.newRow();
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CHECK ( "" == string{tab.id});
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CHECK (5.5 == tab.val);
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CHECK ( 0 == tab.off);
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CHECK (1 == tab.val.data.size());
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CHECK (1 == tab.off.data.size());
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CHECK (1 == tab.id.data.size());
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CHECK (1 == tab.size());
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CHECK (not isnil (tab));
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CHECK (tab.off.data == vector({0}));
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CHECK (tab.val.data == vector({5.5}));
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tab.allColumns() = make_tuple("●", 2.3, -11);
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CHECK ("●" == string{tab.id});
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CHECK (2.3 == tab.val);
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CHECK (-11 == tab.off);
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tab.dupRow();
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tab.val = 42;
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tab.id = "◆";
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CHECK (tab.off.data == vector({-11,-11}));
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CHECK (tab.val.data == vector({2.3,42.0}));
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CHECK (tab.id.data == vector<string>({"●","◆"}));
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tab.reserve(100);
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CHECK (tab.id.data.capacity() >= 100);
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CHECK (tab.val.data.capacity() >= 100);
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CHECK (tab.off.data.capacity() >= 100);
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CHECK (tab.id.data.size() == 2);
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CHECK (tab.val.data.size() == 2);
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CHECK (tab.off.data.size() == 2);
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CHECK (2 == tab.size());
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CHECK ("◆" == string{tab.id});
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CHECK ( 42 == tab.val);
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CHECK (-11 == tab.off);
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meta::forEach (tab.allColumns()
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,[](auto& col){ col.data.resize(2); }
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);
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CHECK (2 == tab.size());
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CHECK ("◆" == string{tab.id});
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CHECK ( 42 == tab.val);
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CHECK (-11 == tab.off);
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tab.dropLastRow();
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CHECK (1 == tab.size());
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CHECK ("●" == string{tab.id});
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CHECK (2.3 == tab.val);
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CHECK (-11 == tab.off);
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CHECK (tab.val.data.size() == 1);
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CHECK (tab.val.data.capacity() >= 100);
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tab.clear();
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CHECK (isnil (tab));
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CHECK (tab.val.data.size() == 0);
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CHECK (tab.val.data.capacity() >= 100);
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}
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/** @test validate the simple CSV conversion functions used by DataTable */
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void
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verify_CSV_Format()
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{
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double val = 1.0 / 3;
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CHECK (util::toString(val) == "0.33333333"_expect );
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CHECK (util::showDecimal(val) == "0.333333333333333"_expect );
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CHECK (util::showComplete(val) == "0.33333333333333331"_expect);
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CHECK (boost::lexical_cast<string>(val) == "0.33333333333333331"_expect);
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CHECK (format4Csv(double(1) / 3) == "0.333333333333333"_expect );
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CHECK (format4Csv(float(1) / 3) == "0.333333"_expect );
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CHECK (format4Csv(f128(1) / 3) == "0.333333333333333333"_expect);
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CHECK (format4Csv(bool(1)) == "true"_expect );
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CHECK (format4Csv(bool(0)) == "false"_expect);
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CHECK (format4Csv("Starship-3") == "\"Starship-3\""_expect ); // 3rd test today ;-)
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CHECK (format4Csv(Time(1,2,25,13)) == "\"13:25:02.001\""_expect);
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string line;
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int64_t ii = -100000;
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bool boo = true;
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appendCsvField (line, ii);
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CHECK (line == "-100000"_expect);
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appendCsvField (line, val);
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CHECK (line == "-100000,0.333333333333333"_expect);
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appendCsvField (line, boo);
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CHECK (line == "-100000,0.333333333333333,true"_expect);
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appendCsvField (line, "Raptor");
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CHECK (line == "-100000,0.333333333333333,true,\"Raptor\""_expect);
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CsvParser parse{line};
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CHECK (parse.isValid());
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CHECK (*parse == "-100000"_expect);
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CHECK (-100000 == parseAs<int>(*parse));
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++parse;
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CHECK (parse.isValid());
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CHECK (*parse == "0.333333333333333"_expect);
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CHECK (0.333333343f == parseAs<float>(*parse));
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++parse;
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CHECK (parse.isValid());
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CHECK (*parse == "true"_expect);
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CHECK (true == parseAs<bool>(*parse));
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++parse;
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CHECK (parse.isValid());
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CHECK (*parse == "Raptor"_expect);
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CHECK ("Raptor" == parseAs<string>(*parse));
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++parse;
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CHECK (not parse.isValid());
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line = " ◐0◑. ; \t \"' \" \n ,oh my ;";
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CsvParser horror{line};
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CHECK ("◐0◑." == *horror); // as far as our CSV format is concerned, this is valid
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CHECK (0 == horror.getParsedFieldCnt());
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++horror;
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CHECK (1 == horror.getParsedFieldCnt());
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CHECK ("' " == *horror);
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++horror;
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CHECK ("oh" == *horror);
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CHECK (2 == horror.getParsedFieldCnt());
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// next field is not quoted, but contains space
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VERIFY_FAIL (",oh |↯|my ;", ++horror );
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CHECK (not horror.isValid());
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CHECK (horror.isParseFail());
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// CsvParser is a »Lumiera Forward Iterator«
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CHECK (meta::lum_iter<CsvParser>);
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}
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/** @test verify a table backed by persistent CSV data */
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void
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verify_persistentDataFile()
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{
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TempDir temp;
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// prepare a data file to load into the table...
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fs::path f = temp.makeFile("dataz.csv");
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std::ofstream content{f};
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content << R"("ID", "Value", "Offset")"<<endl
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<< R"( "one" , 5.5 ; +1 )"<<endl
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<< R"(;" 0 ";0)" <<endl; // ◁────── demonstrating some leeway in storage format
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content.close();
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TestTab dat{f};
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CHECK (2 == dat.size());
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CHECK ("ID" == dat.id.header);
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CHECK ("Value" == dat.val.header);
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CHECK ("Offset" == dat.off.header);
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//Note: data is reversed in storage — last/newest line first
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CHECK ("one" == string{dat.id});
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CHECK ( 5.5 == dat.val);
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CHECK ( 1 == dat.off);
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CHECK (dat.id.data == vector<string>({"","one"}));
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CHECK (dat.val.data == vector<double>({0 ,5.5 }));
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CHECK (dat.off.data == vector<int> ({0 ,1 }));
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// can modify some values....
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dat.id = "mid";
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dat.dupRow();
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dat.id = "last";
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dat.off *= -1;
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// can render the contents as CSV
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CHECK (dat.renderCSV() ==
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R"("ID","Value","Offset"
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"",0,0
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"mid",5.5,1
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"last",5.5,-1
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)"_expect);
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// save complete table in current state, overwriting on disk
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dat.save();
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// read back data rewritten on disk...
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std::ifstream readback{f};
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std::ostringstream inBuff;
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inBuff << readback.rdbuf();
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CHECK (inBuff.str() ==
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R"("ID","Value","Offset"
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"last",5.5,-1
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"mid",5.5,1
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"",0,0
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)"_expect);
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// note again the reversed order in storage: last line at top
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}
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/** @test simplified notation of inline CSV data for tests */
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void
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demonnstrate_CSV_Notation()
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{
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CHECK (CSVLine(1,"2",3.4,5555/55) == "1,\"2\",3.4,101"_expect);
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CHECK (CSVLine(string{"himself"}) == "\"himself\""_expect);
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CHECK (CSVLine{CSVLine{1e9}} == "1000000000"_expect);
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CHECK (CSVLine{} == ""_expect);
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auto appended = (CSVLine{} += 5.5) += Symbol();
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CHECK (appended == "5.5,\"⟂\""_expect);
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CHECK (CSVData({"eeny","meeny","miny","moe"}) == "\"eeny\",\"meeny\",\"miny\",\"moe\"\n"_expect);
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CHECK (CSVData({"eeny , meeny","miny","moe"}) == "\"eeny , meeny\"\n\"miny\"\n\"moe\"\n"_expect); // you dirty dirty dishrag you
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auto csv = CSVData{{"la","la","schland"}
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,{{3.2,1l,88}
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,{"mit", string{"mia"}, Literal("ned")}
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,CSVLine(string(";"))
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,{false}
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,{}
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}};
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CHECK (csv.size() == 6);
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CHECK (string(csv) ==
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R"("la","la","schland"
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3.2,1,88
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"mit","mia","ned"
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";"
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false
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)"_expect);
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VERIFY_FAIL ("Header mismatch in CSV file", TestTab{csv} );
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csv = CSVData{{"ID","Value","Offset"}
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,{{"Baby","toe"}
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}};
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VERIFY_FAIL ("unable to parse \"toe\"", TestTab{csv} );
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csv = CSVData{{"ID","Value","Offset"}
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,{{"Baby",1.6180,23}
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,{"Tiger",10101,-5}
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}};
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TestTab dat{csv};
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CHECK (dat.val == 1.0101e4);
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CHECK (dat.renderCSV() == string(csv));
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}
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};
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LAUNCHER (DataCSV_test, "unit calculation");
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}}} // namespace lib::stat::test
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