# Data Generators > Introduced in Catch2 2.6.0. ```cpp #include ``` Data generators (also known as _data driven/parametrized test cases_) let you reuse the same set of assertions across different input values. In Catch2, this means that they respect the ordering and nesting of the `TEST_CASE` and `SECTION` macros, and their nested sections are run once per each value in a generator. This is best explained with an example: ```cpp TEST_CASE("Generators") { auto i = GENERATE(1, 3, 5); REQUIRE(is_odd(i)); } ``` The "Generators" `TEST_CASE` will be entered 3 times, and the value of `i` will be 1, 3, and 5 in turn. `GENERATE`s can also be used multiple times at the same scope, in which case the result will be a cartesian product of all elements in the generators. This means that in the snippet below, the test case will be run 6 (2\*3) times. ```cpp TEST_CASE("Generators") { auto i = GENERATE(1, 2); auto j = GENERATE(3, 4, 5); } ``` There are 2 parts to generators in Catch2, the `GENERATE` macro together with the already provided generators, and the `IGenerator` interface that allows users to implement their own generators. ## Combining `GENERATE` and `SECTION`. `GENERATE` can be seen as an implicit `SECTION`, that goes from the place `GENERATE` is used, to the end of the scope. This can be used for various effects. The simplest usage is shown below, where the `SECTION` "one" runs 4 (2\*2) times, and `SECTION` "two" is run 6 times (2\*3). ```cpp TEST_CASE("Generators") { auto i = GENERATE(1, 2); SECTION("one") { auto j = GENERATE(-3, -2); REQUIRE(j < i); } SECTION("two") { auto k = GENERATE(4, 5, 6); REQUIRE(i != k); } } ``` The specific order of the `SECTION`s will be "one", "one", "two", "two", "two", "one"... The fact that `GENERATE` introduces a virtual `SECTION` can also be used to make a generator replay only some `SECTION`s, without having to explicitly add a `SECTION`. As an example, the code below reports 3 assertions, because the "first" section is run once, but the "second" section is run twice. ```cpp TEST_CASE("GENERATE between SECTIONs") { SECTION("first") { REQUIRE(true); } auto _ = GENERATE(1, 2); SECTION("second") { REQUIRE(true); } } ``` This can lead to surprisingly complex test flows. As an example, the test below will report 14 assertions: ```cpp TEST_CASE("Complex mix of sections and generates") { auto i = GENERATE(1, 2); SECTION("A") { SUCCEED("A"); } auto j = GENERATE(3, 4); SECTION("B") { SUCCEED("B"); } auto k = GENERATE(5, 6); SUCCEED(); } ``` > The ability to place `GENERATE` between two `SECTION`s was [introduced](https://github.com/catchorg/Catch2/issues/1938) in Catch2 2.13.0. ## Provided generators Catch2's provided generator functionality consists of three parts, * `GENERATE` macro, that serves to integrate generator expression with a test case, * 2 fundamental generators * `SingleValueGenerator` -- contains only single element * `FixedValuesGenerator` -- contains multiple elements * 5 generic generators that modify other generators * `FilterGenerator` -- filters out elements from a generator for which the predicate returns "false" * `TakeGenerator` -- takes first `n` elements from a generator * `RepeatGenerator` -- repeats output from a generator `n` times * `MapGenerator` -- returns the result of applying `Func` on elements from a different generator * `ChunkGenerator` -- returns chunks (inside `std::vector`) of n elements from a generator * 4 specific purpose generators * `RandomIntegerGenerator` -- generates random Integrals from range * `RandomFloatGenerator` -- generates random Floats from range * `RangeGenerator(first, last)` -- generates all values inside a `[first, last)` arithmetic range * `IteratorGenerator` -- copies and returns values from an iterator range > `ChunkGenerator`, `RandomIntegerGenerator`, `RandomFloatGenerator` and `RangeGenerator` were introduced in Catch2 2.7.0. > `IteratorGenerator` was introduced in Catch2 2.10.0. The generators also have associated helper functions that infer their type, making their usage much nicer. These are * `value(T&&)` for `SingleValueGenerator` * `values(std::initializer_list)` for `FixedValuesGenerator` * `table(std::initializer_list>)` for `FixedValuesGenerator>` * `filter(predicate, GeneratorWrapper&&)` for `FilterGenerator` * `take(count, GeneratorWrapper&&)` for `TakeGenerator` * `repeat(repeats, GeneratorWrapper&&)` for `RepeatGenerator` * `map(func, GeneratorWrapper&&)` for `MapGenerator` (map `U` to `T`, deduced from `Func`) * `map(func, GeneratorWrapper&&)` for `MapGenerator` (map `U` to `T`) * `chunk(chunk-size, GeneratorWrapper&&)` for `ChunkGenerator` * `random(IntegerOrFloat a, IntegerOrFloat b)` for `RandomIntegerGenerator` or `RandomFloatGenerator` * `range(Arithemtic start, Arithmetic end)` for `RangeGenerator` with a step size of `1` * `range(Arithmetic start, Arithmetic end, Arithmetic step)` for `RangeGenerator` with a custom step size * `from_range(InputIterator from, InputIterator to)` for `IteratorGenerator` * `from_range(Container const&)` for `IteratorGenerator` > `chunk()`, `random()` and both `range()` functions were introduced in Catch2 2.7.0. > `from_range` has been introduced in Catch2 2.10.0 > `range()` for floating point numbers has been introduced in Catch2 2.11.0 ### Random generators ```cpp #include ``` ### Range generators ```cpp #include ``` And can be used as shown in the example below to create a generator that returns 100 odd random number: ```cpp TEST_CASE("Generating random ints", "[example][generator]") { SECTION("Deducing functions") { auto i = GENERATE(take(100, filter([](int i) { return i % 2 == 1; }, random(-100, 100)))); REQUIRE(i > -100); REQUIRE(i < 100); REQUIRE(i % 2 == 1); } } ``` Apart from registering generators with Catch2, the `GENERATE` macro has one more purpose, and that is to provide simple way of generating trivial generators, as seen in the first example on this page, where we used it as `auto i = GENERATE(1, 2, 3);`. This usage converted each of the three literals into a single `SingleValueGenerator` and then placed them all in a special generator that concatenates other generators. It can also be used with other generators as arguments, such as `auto i = GENERATE(0, 2, take(100, random(300, 3000)));`. This is useful e.g. if you know that specific inputs are problematic and want to test them separately/first. **For safety reasons, you cannot use variables inside the `GENERATE` macro. This is done because the generator expression _will_ outlive the outside scope and thus capturing references is dangerous. If you need to use variables inside the generator expression, make sure you thought through the lifetime implications and use `GENERATE_COPY` or `GENERATE_REF`.** > `GENERATE_COPY` and `GENERATE_REF` were introduced in Catch2 2.7.1. You can also override the inferred type by using `as` as the first argument to the macro. This can be useful when dealing with string literals, if you want them to come out as `std::string`: ```cpp TEST_CASE("type conversion", "[generators]") { auto str = GENERATE(as{}, "a", "bb", "ccc"); REQUIRE(str.size() > 0); } ``` ## Generator interface You can also implement your own generators, by deriving from the `IGenerator` interface: ```cpp template struct IGenerator : GeneratorUntypedBase { // via GeneratorUntypedBase: // Attempts to move the generator to the next element. // Returns true if successful (and thus has another element that can be read) virtual bool next() = 0; // Precondition: // The generator is either freshly constructed or the last call to next() returned true virtual T const& get() const = 0; }; ``` However, to be able to use your custom generator inside `GENERATE`, it will need to be wrapped inside a `GeneratorWrapper`. `GeneratorWrapper` is a value wrapper around a `std::unique_ptr>`. For full example of implementing your own generator, look into Catch2's examples, specifically [Generators: Create your own generator](../examples/300-Gen-OwnGenerator.cpp).