A Gen[R, A] represents a generator of values of type A, which requires an
environment R. Generators may be random or deterministic.
- Companion:
- object
Value members
Concrete methods
Maps the values produced by this generator with the specified partial function, discarding any values the partial function is not defined at.
Maps the values produced by this generator with the specified partial function, discarding any values the partial function is not defined at.
Composes this generator with the specified generator to create a cartesian product of elements.
Composes this generator with the specified generator to create a cartesian product of elements.
Composes this generator with the specified generator to create a cartesian product of elements with the specified function.
Composes this generator with the specified generator to create a cartesian product of elements with the specified function.
Filters the values produced by this generator, discarding any values that
do not meet the specified predicate. Using filter can reduce test
performance, especially if many values must be discarded. It is recommended
to use combinators such as map and flatMap to create generators of the
desired values instead.
Filters the values produced by this generator, discarding any values that
do not meet the specified predicate. Using filter can reduce test
performance, especially if many values must be discarded. It is recommended
to use combinators such as map and flatMap to create generators of the
desired values instead.
val evens: Gen[Random, Int] = Gen.anyInt.map(_ * 2)
Filters the values produced by this generator, discarding any values that meet the specified predicate.
Filters the values produced by this generator, discarding any values that meet the specified predicate.
Discards the shrinker for this generator and applies a new shrinker by mapping each value to a sample using the specified function. This is useful when the process to shrink a value is simpler than the process used to generate it.
Discards the shrinker for this generator and applies a new shrinker by mapping each value to a sample using the specified function. This is useful when the process to shrink a value is simpler than the process used to generate it.
Runs the generator and collects all of its values in a list.
Runs the generator and collects all of its values in a list.
Repeatedly runs the generator and collects the specified number of values in a list.
Repeatedly runs the generator and collects the specified number of values in a list.
Runs the generator returning the first value of the generator.
Runs the generator returning the first value of the generator.
Zips two generators together pairwise. The new generator will generate elements as long as either generator is generating elements, running the other generator multiple times if necessary.
Zips two generators together pairwise. The new generator will generate elements as long as either generator is generating elements, running the other generator multiple times if necessary.
Zips two generators together pairwise with the specified function. The new generator will generate elements as long as either generator is generating elements, running the other generator multiple times if necessary.
Zips two generators together pairwise with the specified function. The new generator will generate elements as long as either generator is generating elements, running the other generator multiple times if necessary.