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531a149ae7
This basically tests the combination where the compiler supports most of C++17 but the library does not.
272 lines
9.3 KiB
C++
272 lines
9.3 KiB
C++
#include "catch.hpp"
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#include <cstring>
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// Generators and sections can be nested freely
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TEST_CASE("Generators -- simple", "[generators]") {
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auto i = GENERATE(1, 2, 3);
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SECTION("one") {
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auto j = GENERATE(values({ -3, -2, -1 }));
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REQUIRE(j < i);
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}
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SECTION("two") {
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// You can also explicitly set type for generators via Catch::Generators::as
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auto str = GENERATE(as<std::string>{}, "a", "bb", "ccc");
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REQUIRE(4u * i > str.size());
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}
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}
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// You can create a cartesian-product of generators by creating multiple ones
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TEST_CASE("3x3x3 ints", "[generators]") {
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auto x = GENERATE(1, 2, 3);
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auto y = GENERATE(4, 5, 6);
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auto z = GENERATE(7, 8, 9);
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// These assertions will be run 27 times (3x3x3)
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CHECK(x < y);
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CHECK(y < z);
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REQUIRE(x < z);
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}
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// You can also create data tuples
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TEST_CASE("tables", "[generators]") {
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// Note that this will not compile with libstdc++ older than libstdc++6
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// See https://stackoverflow.com/questions/12436586/tuple-vector-and-initializer-list
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// for possible workarounds
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// auto data = GENERATE(table<char const*, int>({
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// {"first", 5},
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// {"second", 6},
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// {"third", 5},
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// {"etc...", 6}
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// }));
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// Workaround for the libstdc++ bug mentioned above
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using tuple_type = std::tuple<char const*, int>;
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auto data = GENERATE(table<char const*, int>({
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tuple_type{"first", 5},
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tuple_type{"second", 6},
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tuple_type{"third", 5},
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tuple_type{"etc...", 6}
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}));
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REQUIRE(strlen(std::get<0>(data)) == static_cast<size_t>(std::get<1>(data)));
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}
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#ifdef __cpp_structured_bindings
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// Structured bindings make the table utility much nicer to use
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TEST_CASE( "strlen2", "[approvals][generators]" ) {
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using tuple_type = std::tuple<std::string, int>; // see above workaround
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auto [test_input, expected] =
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GENERATE( table<std::string, size_t>( { tuple_type{ "one", 3 },
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tuple_type{ "two", 3 },
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tuple_type{ "three", 5 },
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tuple_type{ "four", 4 } } ) );
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REQUIRE( test_input.size() == expected );
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}
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#endif
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// An alternate way of doing data tables without structured bindings
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struct Data { std::string str; size_t len; };
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TEST_CASE( "strlen3", "[generators]" ) {
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auto data = GENERATE( values<Data>({
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{"one", 3},
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{"two", 3},
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{"three", 5},
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{"four", 4}
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}));
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REQUIRE( data.str.size() == data.len );
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}
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#ifdef __cpp_structured_bindings
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// Based on example from https://docs.cucumber.io/gherkin/reference/#scenario-outline
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// (thanks to https://github.com/catchorg/Catch2/issues/850#issuecomment-399504851)
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// Note that GIVEN, WHEN, and THEN now forward onto DYNAMIC_SECTION instead of SECTION.
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// DYNAMIC_SECTION takes its name as a stringstream-style expression, so can be formatted using
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// variables in scope - such as the generated variables here. This reads quite nicely in the
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// test name output (the full scenario description).
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static auto eatCucumbers( int start, int eat ) -> int { return start-eat; }
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SCENARIO("Eating cucumbers", "[generators][approvals]") {
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using tuple_type = std::tuple<int, int, int>;
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auto [start, eat, left] = GENERATE( table<int, int, int>(
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{ tuple_type{ 12, 5, 7 }, tuple_type{ 20, 5, 15 } } ) );
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GIVEN( "there are " << start << " cucumbers" )
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WHEN( "I eat " << eat << " cucumbers" )
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THEN( "I should have " << left << " cucumbers" ) {
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REQUIRE( eatCucumbers( start, eat ) == left );
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}
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}
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#endif
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// There are also some generic generator manipulators
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TEST_CASE("Generators -- adapters", "[generators][generic]") {
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// TODO: This won't work yet, introduce GENERATE_VAR?
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//auto numbers = Catch::Generators::values({ 1, 2, 3, 4, 5, 6 });
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SECTION("Filtering by predicate") {
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SECTION("Basic usage") {
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// This filters out all odd (false) numbers, giving [2, 4, 6]
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auto i = GENERATE(filter([] (int val) { return val % 2 == 0; }, values({ 1, 2, 3, 4, 5, 6 })));
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REQUIRE(i % 2 == 0);
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}
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SECTION("Throws if there are no matching values") {
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using namespace Catch::Generators;
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REQUIRE_THROWS_AS(filter([] (int) {return false; }, value(1)), Catch::GeneratorException);
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}
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}
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SECTION("Shortening a range") {
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// This takes the first 3 elements from the values, giving back [1, 2, 3]
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auto i = GENERATE(take(3, values({ 1, 2, 3, 4, 5, 6 })));
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REQUIRE(i < 4);
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}
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SECTION("Transforming elements") {
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SECTION("Same type") {
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// This doubles values [1, 2, 3] into [2, 4, 6]
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auto i = GENERATE(map([] (int val) { return val * 2; }, values({ 1, 2, 3 })));
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REQUIRE(i % 2 == 0);
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}
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SECTION("Different type") {
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// This takes a generator that returns ints and maps them into strings
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auto i = GENERATE(map<std::string>([] (int val) { return std::to_string(val); }, values({ 1, 2, 3 })));
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REQUIRE(i.size() == 1);
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}
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SECTION("Different deduced type") {
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// This takes a generator that returns ints and maps them into strings
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auto i = GENERATE(map([] (int val) { return std::to_string(val); }, values({ 1, 2, 3 })));
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REQUIRE(i.size() == 1);
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}
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}
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SECTION("Repeating a generator") {
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// This will return values [1, 2, 3, 1, 2, 3]
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auto j = GENERATE(repeat(2, values({ 1, 2, 3 })));
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REQUIRE(j > 0);
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}
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SECTION("Chunking a generator into sized pieces") {
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SECTION("Number of elements in source is divisible by chunk size") {
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auto chunk2 = GENERATE(chunk(2, values({ 1, 1, 2, 2, 3, 3 })));
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REQUIRE(chunk2.size() == 2);
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REQUIRE(chunk2.front() == chunk2.back());
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}
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SECTION("Number of elements in source is not divisible by chunk size") {
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auto chunk2 = GENERATE(chunk(2, values({ 1, 1, 2, 2, 3 })));
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REQUIRE(chunk2.size() == 2);
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REQUIRE(chunk2.front() == chunk2.back());
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REQUIRE(chunk2.front() < 3);
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}
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SECTION("Chunk size of zero") {
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auto chunk2 = GENERATE(take(3, chunk(0, value(1))));
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REQUIRE(chunk2.size() == 0);
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}
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SECTION("Throws on too small generators") {
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using namespace Catch::Generators;
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REQUIRE_THROWS_AS(chunk(2, value(1)), Catch::GeneratorException);
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}
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}
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}
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// Note that because of the non-reproducibility of distributions,
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// anything involving the random generators cannot be part of approvals
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TEST_CASE("Random generator", "[generators][approvals]") {
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SECTION("Infer int from integral arguments") {
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auto val = GENERATE(take(4, random(0, 1)));
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STATIC_REQUIRE(std::is_same<decltype(val), int>::value);
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REQUIRE(0 <= val);
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REQUIRE(val <= 1);
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}
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SECTION("Infer double from double arguments") {
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auto val = GENERATE(take(4, random(0., 1.)));
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STATIC_REQUIRE(std::is_same<decltype(val), double>::value);
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REQUIRE(0. <= val);
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REQUIRE(val < 1);
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}
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}
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TEST_CASE("Nested generators and captured variables", "[generators]") {
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// Workaround for old libstdc++
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using record = std::tuple<int, int>;
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// Set up 3 ranges to generate numbers from
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auto extent = GENERATE(table<int, int>({
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record{3, 7},
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record{-5, -3},
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record{90, 100}
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}));
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auto from = std::get<0>(extent);
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auto to = std::get<1>(extent);
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auto values = GENERATE_COPY(range(from, to));
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REQUIRE(values > -6);
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}
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namespace {
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size_t call_count = 0;
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size_t test_count = 0;
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std::vector<int> make_data() {
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return { 1, 3, 5, 7, 9, 11 };
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}
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std::vector<int> make_data_counted() {
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++call_count;
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return make_data();
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}
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}
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#if defined(__clang__)
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#pragma clang diagnostic push
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#pragma clang diagnostic ignored "-Wexit-time-destructors"
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#endif
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TEST_CASE("Copy and then generate a range", "[generators]") {
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SECTION("from var and iterators") {
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static auto data = make_data();
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// It is important to notice that a generator is only initialized
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// **once** per run. What this means is that modifying data will not
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// modify the underlying generator.
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auto elem = GENERATE_REF(from_range(data.begin(), data.end()));
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REQUIRE(elem % 2 == 1);
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}
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SECTION("From a temporary container") {
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auto elem = GENERATE(from_range(make_data_counted()));
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++test_count;
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REQUIRE(elem % 2 == 1);
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}
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SECTION("Final validation") {
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REQUIRE(call_count == 1);
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REQUIRE(make_data().size() == test_count);
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}
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}
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TEST_CASE("#1913 - GENERATE inside a for loop should not keep recreating the generator", "[regression][generators]") {
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static int counter = 0;
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for (int i = 0; i < 3; ++i) {
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int _ = GENERATE(1, 2);
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(void)_;
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++counter;
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}
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// There should be at most 6 (3 * 2) counter increments
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REQUIRE(counter < 7);
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}
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TEST_CASE("#1913 - GENERATEs can share a line", "[regression][generators]") {
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int i = GENERATE(1, 2); int j = GENERATE(3, 4);
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REQUIRE(i != j);
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}
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#if defined(__clang__)
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#pragma clang diagnostic pop
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#endif
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