Create a Generator that returns values in the specified range.
Create a Generator that returns values in the specified range.
This is the general-purpose function that underlies all of the other xxsBetween() functions in
CommonGenerators. It works with any type for which there is an Ordering, a Generator, and
a Chooser, making it easy to create Generators for ranges within that type.
The range is inclusive: both from and to may be produced by this Generator. Moreover, from and to are considered to be edge cases, so they usually will be produced in a typical run.
The value of from must be less than or equal to the value of to. (However "less than or equal"
is defined for this type.)
The "edges" -- the edge case values -- for this type will be taken from the implicit
Generator. This function then filters out any that aren't within the specified range,
and adds the from and to values as edges.
The implicit Chooser is used to pick random values of the type. That should do most of the heavy lifting.
Since this underlies the more-specific xxsBetween() functions, you may use either those
or this when appropriate. For example, this:
intsBetween(1, 100)
and
between(1, 100)
are functionally identical so long as the types of the parameters are clear to the compiler. Use whichever suits your project's coding style better.
the type to choose a value from
the lower bound of the range to choose from
the upper bound of the range to choose from
an instance of Ordering[T], which should usually be in implicit scope
an instance of Chooser[T], which should usually be in implicit scope
an instance of Generator[T], which should usually be in implicit scope
a new Generator, that produces values in the specified range
A Generator that produces Boolean values.
A Generator that produces Boolean values.
A Generator that produces Byte values.
A Generator that produces Byte values.
Create a Generator that returns Bytes in the specified range.
Create a Generator that returns Bytes in the specified range.
The range is inclusive: both from and to may be produced by this Generator. Moreover, from and to are considered to be edge cases, so they usually will be produced in a typical run.
The value of from must be less than or equal to the value of to.
one end of the desired range
the other end of the desired range
a value within that range, inclusive of the bounds
A Generator that produces Char values.
A Generator that produces Char values.
Create a Generator that returns Chars in the specified range.
Create a Generator that returns Chars in the specified range.
The range is inclusive: both from and to may be produced by this Generator. Moreover, from and to are considered to be edge cases, so they usually will be produced in a typical run.
The value of from must be less than or equal to the value of to.
one end of the desired range
the other end of the desired range
a value within that range, inclusive of the bounds
Generate a bunch of values from a Generator, and distribute them into buckets.
Generate a bunch of values from a Generator, and distribute them into buckets.
This function mainly exists for the purpose of testing your Generator, and making sure that it is actually creating data with the sort of distribution you expect. You provide the Generator, the number of values to create, and a function that "classifies" each value with a String; it returns a Classification that collates all of the results. You can then look at the Classification to see if the proportions match your expectations.
For example, consider this simple classification of small numbers:
val classification: Classification = CommonGenerators.classify(10000, CommonGenerators.intsBetween(0, 9)) { case x if (x % 2) == 0 => "even" case _ => "odd" }
As expected, the results come out evenly:
classification: org.scalatest.prop.Classification = 50% odd 50% even
The options provided in the PartialFunction do not have to be comprehensive; it is legal for some generated values to not match any of the choices. In this case, those values will not be accounted for in the resulting Classification.
the type to be generated
the number of values to generate
the Generator to use
a PartialFunction that takes the generated values, and sorts them into "buckets" by String names
statistics on how many values wound up in each bucket
A Generator that produces Double values.
A Generator that produces Double values.
Create a Generator that returns Doubles in the specified range.
Create a Generator that returns Doubles in the specified range.
The range is inclusive: both from and to may be produced by this Generator. Moreover, from and to are considered to be edge cases, so they usually will be produced in a typical run.
The value of from must be less than or equal to the value of to.
one end of the desired range
the other end of the desired range
a value within that range, inclusive of the bounds
Given Generators for two types, L and R, this provides one for Either[L, R].
Given Generators for two types, L and R, this provides one for Either[L, R].
the Left type for an Either
the Right type for an Either
a Generator that produces type L
a Generator that produces type R
a Generator that produces Either[L, R]
Given a number of Generators, this creates one that invokes each of its constituents with roughly the same frequency.
Given a number of Generators, this creates one that invokes each of its constituents with roughly the same frequency.
Consider this example:
val numbers: Generator[Char] = ... // generates only digits val letters: Generator[Char] = ... // generates only letters val punct: Generator[Char] = ... // generates only punctuation val chars: Generator[Char] = evenly(numbers, letters, punct)
The chars Generator should produce numbers, letters and punctuation, each about a third
of the time.
Keep in mind that the distribution is invoked randomly, so these are rough proportions. As you invoke the Generator more times, you should see results that are closer and closer to an equal distribution, but the random element will generally keep it inexact.
As usual, the resulting Generator will use the Randomizer passed in to Generator.next() to choose which of the constituent Generators to invoke. So if you use the same seed to initialize your Randomizer, you should get the same results.
Note that all of the constituent Generators must produce the same type.
the type to be produced
a Generator to choose from
another Generator to choose from
any number of additional Generators to choose from
a single Generator that invokes each of its constituents roughly the same number of times
A Generator that produces Double values, including zero but not including infinities or NaN.
A Generator that produces Double values, including zero but not including infinities or NaN.
A Generator that produces FiniteDouble values.
A Generator that produces FiniteDouble values.
Create a Generator that returns FiniteDoubles in the specified range.
Create a Generator that returns FiniteDoubles in the specified range.
The range is inclusive: both from and to may be produced by this Generator. Moreover, from and to are considered to be edge cases, so they usually will be produced in a typical run.
The value of from must be less than or equal to the value of to.
one end of the desired range
the other end of the desired range
a value within that range, inclusive of the bounds
A Generator that produces Float values, including zero but not including infinities or NaN.
A Generator that produces Float values, including zero but not including infinities or NaN.
A Generator that produces FiniteFloat values.
A Generator that produces FiniteFloat values.
Create a Generator that returns FiniteFloats in the specified range.
Create a Generator that returns FiniteFloats in the specified range.
The range is inclusive: both from and to may be produced by this Generator. Moreover, from and to are considered to be edge cases, so they usually will be produced in a typical run.
The value of from must be less than or equal to the value of to.
one end of the desired range
the other end of the desired range
a value within that range, inclusive of the bounds
A Generator of prime numbers.
A Generator of prime numbers.
As the name implies, this doesn't try to generate entirely arbitrary prime numbers. Instead, it takes the simpler and more efficient approach of choosing randomly from a hard-coded table of the first 1000 primes. As a result, the largest number that can be produced from this is 7919.
a Generator that will produce smallish prime numbers
A Generator that produces Float values.
A Generator that produces Float values.
Create a Generator that returns Floats in the specified range.
Create a Generator that returns Floats in the specified range.
The range is inclusive: both from and to may be produced by this Generator. Moreover, from and to are considered to be edge cases, so they usually will be produced in a typical run.
The value of from must be less than or equal to the value of to.
one end of the desired range
the other end of the desired range
a value within that range, inclusive of the bounds
Given a number of Generators, and the weightings for each one, this creates a Generator that invokes each of its components according to its weighting.
Given a number of Generators, and the weightings for each one, this creates a Generator that invokes each of its components according to its weighting.
For example, consider this:
val evens: Generator[Int] = ... // generates even Ints val odds: Generator[Int] = ... // generates odd Ints val zeros: Generator[Int] = specificValue(0) val mixed: Generator[Int] = frequency( (5, evens), (4, odds), (1, zeros) )
The total weighting is (5 + 4 + 1) = 10. So the resulting Generator will produce an even number (10 / 5) = 50% the time, an odd number (10 / 4) = 40% of the time, and zero (10 / 1) = 10% of the time.
Keep in mind that the distribution is invoked randomly, so these are rough proportions. As you invoke the Generator more times, you should see results that are closer and closer to the specified proportions, but the random element will generally keep it inexact.
As usual, the resulting Generator will use the Randomizer passed in to Generator.next() to choose which of the constituent Generators to invoke. So if you use the same seed to initialize your Randomizer, you should get the same results.
Note that all of the constituent Generators must produce the same type.
the type being produced by all of these Generators
a Generator and its weight
another Generator and its weight
as many more Generator and weight pairs as you like
a single Generator, that invokes its constituents according to their weights
Given a Generator that produces values of type A, this returns one that produces functions that return a T.
Given a Generator that produces values of type A, this returns one that produces functions that return a T.
The functions produced here are nullary -- they take no parameters, they just spew out values of type A.
the type to return from the generated functions
a Generator that produces functions that return values of type A
See function1s.
See function1s.
See function1s.
See function1s.
See function1s.
See function1s.
See function1s.
See function1s.
See function1s.
See function1s.
See function1s.
See function1s.
See function1s.
See function1s.
See function1s.
See function1s.
See function1s.
See function1s.
See function1s.
See function1s.
Create a Generator of functions from type A to type B.
Create a Generator of functions from type A to type B.
Note that the generated functions are, necessarily, pretty random. In practice, the function you get from a function1s call (and its variations, up through function22s) takes the hashes of its input values, combines those with a randomly-chosen number, and combines them in order to choose the generated value B.
That said, each of the generated functions is deterministic: given the same input parameters and the same
randomly-chosen number, you will always get the same B result. And the toString function on the generated
function will show the formula you need to use in order to recreate that, which will look something like:
(a: Int, b: String, c: Float) => org.scalatest.prop.valueOf[String](a, b, c)(131)
The number and type of the a, b, c, etc, parameters, as well as the type parameter of valueOf, will depend
on the function type you are generating, but they will always follow this pattern. valueOf is the underlying
function that takes these parameters and the randomly-chosen number, and returns a value of the specified type.
So if a property evaluation fails, the display of the generated function will tell you how to call valueOf to recreate the failure.
The typeInfo parameters are automatically created via macros; you should generally not try to pass them manually.
the input type for the generated functions
the result type for the generated functions
a Generator for the desired result type B
automatically-created type information for type A
automatically-created type information for type B
a Generator that produces functions that take values of A and returns values of B
See function1s.
See function1s.
See function1s.
See function1s.
See function1s.
See function1s.
See function1s.
See function1s.
See function1s.
See function1s.
See function1s.
See function1s.
See function1s.
See function1s.
See function1s.
See function1s.
See function1s.
See function1s.
See function1s.
See function1s.
See function1s.
See function1s.
See the simple [A, B] version of instancesOf() for details.
See the simple [A, B] version of instancesOf() for details.
See the simple [A, B] version of instancesOf() for details.
See the simple [A, B] version of instancesOf() for details.
See the simple [A, B] version of instancesOf() for details.
See the simple [A, B] version of instancesOf() for details.
See the simple [A, B] version of instancesOf() for details.
See the simple [A, B] version of instancesOf() for details.
See the simple [A, B] version of instancesOf() for details.
See the simple [A, B] version of instancesOf() for details.
See the simple [A, B] version of instancesOf() for details.
See the simple [A, B] version of instancesOf() for details.
See the simple [A, B] version of instancesOf() for details.
See the simple [A, B] version of instancesOf() for details.
See the simple [A, B] version of instancesOf() for details.
See the simple [A, B] version of instancesOf() for details.
See the simple [A, B] version of instancesOf() for details.
See the simple [A, B] version of instancesOf() for details.
See the simple [A, B] version of instancesOf() for details.
See the simple [A, B] version of instancesOf() for details.
See the simple [A, B] version of instancesOf() for details.
See the simple [A, B] version of instancesOf() for details.
See the simple [A, B] version of instancesOf() for details.
See the simple [A, B] version of instancesOf() for details.
See the simple [A, B] version of instancesOf() for details.
See the simple [A, B] version of instancesOf() for details.
See the simple [A, B] version of instancesOf() for details.
See the simple [A, B] version of instancesOf() for details.
See the simple [A, B] version of instancesOf() for details.
See the simple [A, B] version of instancesOf() for details.
See the simple [A, B] version of instancesOf() for details.
See the simple [A, B] version of instancesOf() for details.
See the simple [A, B] version of instancesOf() for details.
See the simple [A, B] version of instancesOf() for details.
See the simple [A, B] version of instancesOf() for details.
See the simple [A, B] version of instancesOf() for details.
See the simple [A, B] version of instancesOf() for details.
See the simple [A, B] version of instancesOf() for details.
See the simple [A, B] version of instancesOf() for details.
See the simple [A, B] version of instancesOf() for details.
See the simple [A, B] version of instancesOf() for details.
See the simple [A, B] version of instancesOf() for details.
The instancesOf function (which has overloads depending on how many parameters you need)
is one way to create a Generator for case classes and other situations where you
want to build a type out of other types.
The instancesOf function (which has overloads depending on how many parameters you need)
is one way to create a Generator for case classes and other situations where you
want to build a type out of other types.
To understand how it works, look at this example:
case class Person(name: String, age: Int) implicit val persons: Generator[Person] = instancesOf(Person) { p => (p.name, p.age) } (strings, posZIntValues)
What's going on here? instancesOf is taking two types (String and Int),
a function (a case class constructor) that turns those types into a third type (Person),
and a second function that takes a Person and deconstructs it back to its component
pieces. From those, it creates a Generator.
The last parameters -- the (strings, posZIntValues) -- are the Generators for
the component types. If you are good with using the default Generators for those types,
you can just let those parameters be resolved implicitly. (But in this case, that
could result in negative ages, which doesn't make any sense.)
After creating a Generator this way, you can use it like any other Generator in your property checks.
Alternatively, you can construct Generators for case classes using for comprehensions, like this:
implicit val persons: Generator[Person] = for { name <- strings age <- posZIntValues } yield Person(name, age)
Which approach you use is mainly up to personal taste and the coding standards of your project.
the input type
the target type to be generated
a constructor that builds the target type from its constituents; most often, a case class constructor
a deconstructor function that takes the target type and breaks is down into its constituents
a Generator for the input type
a Generator for the target type
A Generator that produces Int values.
A Generator that produces Int values.
Create a Generator that returns Ints in the specified range.
Create a Generator that returns Ints in the specified range.
The range is inclusive: both from and to may be produced by this Generator. Moreover, from and to are considered to be edge cases, so they usually will be produced in a typical run.
The value of from must be less than or equal to the value of to.
one end of the desired range
the other end of the desired range
a value within that range, inclusive of the bounds
Given an existing Generator[T], this creates a Generator[List[T]].
Given an existing Generator[T], this creates a Generator[List[T]].
the type that we are producing a List of
a Generator that produces values of type T
a List of values of type T
A Generator that produces Long values.
A Generator that produces Long values.
Create a Generator that returns Longs in the specified range.
Create a Generator that returns Longs in the specified range.
The range is inclusive: both from and to may be produced by this Generator. Moreover, from and to are considered to be edge cases, so they usually will be produced in a typical run.
The value of from must be less than or equal to the value of to.
one end of the desired range
the other end of the desired range
a value within that range, inclusive of the bounds
Given a Generator that produces Tuples of key/value pairs, this gives you one that produces Maps with those pairs.
Given a Generator that produces Tuples of key/value pairs, this gives you one that produces Maps with those pairs.
If you are simply looking for random pairing of the key and value types, this is pretty easy to use: if both the key and value types have Generators, then the Tuple and Map ones will be automatically and implicitly created when you need them.
The resulting Generator also has the HavingSize trait, so you can use it to generate Maps with specific sizes.
the type of the keys for the Map
the type of the values for the Map
a Generator of Maps from K to V
A Generator that produces negative Double values, not including zero but including
infinity and NaN.
A Generator that produces negative Double values, not including zero but including
infinity and NaN.
A Generator that produces NegDouble values.
A Generator that produces NegDouble values.
Create a Generator that returns NegDoubles in the specified range.
Create a Generator that returns NegDoubles in the specified range.
The range is inclusive: both from and to may be produced by this Generator. Moreover, from and to are considered to be edge cases, so they usually will be produced in a typical run.
The value of from must be less than or equal to the value of to.
one end of the desired range
the other end of the desired range
a value within that range, inclusive of the bounds
A Generator that produces negative Double values, not including zero, infinity or
NaN.
A Generator that produces negative Double values, not including zero, infinity or
NaN.
A Generator that produces NegFiniteDouble values.
A Generator that produces NegFiniteDouble values.
Create a Generator that returns NegFiniteDoubles in the specified range.
Create a Generator that returns NegFiniteDoubles in the specified range.
The range is inclusive: both from and to may be produced by this Generator. Moreover, from and to are considered to be edge cases, so they usually will be produced in a typical run.
The value of from must be less than or equal to the value of to.
one end of the desired range
the other end of the desired range
a value within that range, inclusive of the bounds
A Generator that produces negative Float values, not including zero, infinity
or NaN.
A Generator that produces negative Float values, not including zero, infinity
or NaN.
A Generator that produces NegFiniteFloat values.
A Generator that produces NegFiniteFloat values.
Create a Generator that returns NegFiniteFloats in the specified range.
Create a Generator that returns NegFiniteFloats in the specified range.
The range is inclusive: both from and to may be produced by this Generator. Moreover, from and to are considered to be edge cases, so they usually will be produced in a typical run.
The value of from must be less than or equal to the value of to.
one end of the desired range
the other end of the desired range
a value within that range, inclusive of the bounds
A Generator that produces negative Float values, not including zero but including
infinity and NaN.
A Generator that produces negative Float values, not including zero but including
infinity and NaN.
A Generator that produces NegFloat values.
A Generator that produces NegFloat values.
Create a Generator that returns NegFloats in the specified range.
Create a Generator that returns NegFloats in the specified range.
The range is inclusive: both from and to may be produced by this Generator. Moreover, from and to are considered to be edge cases, so they usually will be produced in a typical run.
The value of from must be less than or equal to the value of to.
one end of the desired range
the other end of the desired range
a value within that range, inclusive of the bounds
A Generator that produces negative Int values, not including zero.
A Generator that produces negative Int values, not including zero.
A Generator that produces NegInt values.
A Generator that produces NegInt values.
Create a Generator that returns NegInts in the specified range.
Create a Generator that returns NegInts in the specified range.
The range is inclusive: both from and to may be produced by this Generator. Moreover, from and to are considered to be edge cases, so they usually will be produced in a typical run.
The value of from must be less than or equal to the value of to.
one end of the desired range
the other end of the desired range
a value within that range, inclusive of the bounds
A Generator that produces negative Long values, not including zero.
A Generator that produces negative Long values, not including zero.
A Generator that produces NegLong values.
A Generator that produces NegLong values.
Create a Generator that returns NegLongs in the specified range.
Create a Generator that returns NegLongs in the specified range.
The range is inclusive: both from and to may be produced by this Generator. Moreover, from and to are considered to be edge cases, so they usually will be produced in a typical run.
The value of from must be less than or equal to the value of to.
one end of the desired range
the other end of the desired range
a value within that range, inclusive of the bounds
A Generator that produces negative Double values, including zero, infinity and NaN.
A Generator that produces negative Double values, including zero, infinity and NaN.
A Generator that produces NegZDouble values.
A Generator that produces NegZDouble values.
Create a Generator that returns NegZDoubles in the specified range.
Create a Generator that returns NegZDoubles in the specified range.
The range is inclusive: both from and to may be produced by this Generator. Moreover, from and to are considered to be edge cases, so they usually will be produced in a typical run.
The value of from must be less than or equal to the value of to.
one end of the desired range
the other end of the desired range
a value within that range, inclusive of the bounds
A Generator that produces negative Double values, including zero but not including
infinity or NaN.
A Generator that produces negative Double values, including zero but not including
infinity or NaN.
A Generator that produces NegZFiniteDouble values.
A Generator that produces NegZFiniteDouble values.
Create a Generator that returns NegZFiniteDoubles in the specified range.
Create a Generator that returns NegZFiniteDoubles in the specified range.
The range is inclusive: both from and to may be produced by this Generator. Moreover, from and to are considered to be edge cases, so they usually will be produced in a typical run.
The value of from must be less than or equal to the value of to.
one end of the desired range
the other end of the desired range
a value within that range, inclusive of the bounds
A Generator that produces negative Float values, including zero but not
including infinity or NaN.
A Generator that produces negative Float values, including zero but not
including infinity or NaN.
A Generator that produces NegZFiniteFloat values.
A Generator that produces NegZFiniteFloat values.
Create a Generator that returns NegZFiniteFloats in the specified range.
Create a Generator that returns NegZFiniteFloats in the specified range.
The range is inclusive: both from and to may be produced by this Generator. Moreover, from and to are considered to be edge cases, so they usually will be produced in a typical run.
The value of from must be less than or equal to the value of to.
one end of the desired range
the other end of the desired range
a value within that range, inclusive of the bounds
A Generator that produces negative Float values, including zero, infinity
and NaN.
A Generator that produces negative Float values, including zero, infinity
and NaN.
A Generator that produces NegZFloat values.
A Generator that produces NegZFloat values.
Create a Generator that returns NegZFloats in the specified range.
Create a Generator that returns NegZFloats in the specified range.
The range is inclusive: both from and to may be produced by this Generator. Moreover, from and to are considered to be edge cases, so they usually will be produced in a typical run.
The value of from must be less than or equal to the value of to.
one end of the desired range
the other end of the desired range
a value within that range, inclusive of the bounds
A Generator that produces negative Int values, including zero.
A Generator that produces negative Int values, including zero.
A Generator that produces NegZInt values.
A Generator that produces NegZInt values.
Create a Generator that returns NegZInts in the specified range.
Create a Generator that returns NegZInts in the specified range.
The range is inclusive: both from and to may be produced by this Generator. Moreover, from and to are considered to be edge cases, so they usually will be produced in a typical run.
The value of from must be less than or equal to the value of to.
one end of the desired range
the other end of the desired range
a value within that range, inclusive of the bounds
A Generator that produces negative Long values, including zero.
A Generator that produces negative Long values, including zero.
A Generator that produces NegZLong values.
A Generator that produces NegZLong values.
Create a Generator that returns NegZLongs in the specified range.
Create a Generator that returns NegZLongs in the specified range.
The range is inclusive: both from and to may be produced by this Generator. Moreover, from and to are considered to be edge cases, so they usually will be produced in a typical run.
The value of from must be less than or equal to the value of to.
one end of the desired range
the other end of the desired range
a value within that range, inclusive of the bounds
A Generator that produces non-zero Double values, including infinity and NaN.
A Generator that produces non-zero Double values, including infinity and NaN.
A Generator that produces NonZeroDouble values.
A Generator that produces NonZeroDouble values.
Create a Generator that returns NonZeroDoubles in the specified range.
Create a Generator that returns NonZeroDoubles in the specified range.
The range is inclusive: both from and to may be produced by this Generator. Moreover, from and to are considered to be edge cases, so they usually will be produced in a typical run.
The value of from must be less than or equal to the value of to.
one end of the desired range
the other end of the desired range
a value within that range, inclusive of the bounds
A Generator that produces non-zero Double values, not including infinity and NaN.
A Generator that produces non-zero Double values, not including infinity and NaN.
A Generator that produces NonZeroFiniteDouble values.
A Generator that produces NonZeroFiniteDouble values.
Create a Generator that returns NonZeroFiniteDoubles in the specified range.
Create a Generator that returns NonZeroFiniteDoubles in the specified range.
The range is inclusive: both from and to may be produced by this Generator. Moreover, from and to are considered to be edge cases, so they usually will be produced in a typical run.
The value of from must be less than or equal to the value of to.
one end of the desired range
the other end of the desired range
a value within that range, inclusive of the bounds
A Generator that produces non-zero Float values, not including infinity
or NaN.
A Generator that produces non-zero Float values, not including infinity
or NaN.
A Generator that produces NonZeroFiniteFloat values.
A Generator that produces NonZeroFiniteFloat values.
Create a Generator that returns NonZeroFiniteFloats in the specified range.
Create a Generator that returns NonZeroFiniteFloats in the specified range.
The range is inclusive: both from and to may be produced by this Generator. Moreover, from and to are considered to be edge cases, so they usually will be produced in a typical run.
The value of from must be less than or equal to the value of to.
one end of the desired range
the other end of the desired range
a value within that range, inclusive of the bounds
A Generator that produces non-zero Float values, including infinity and NaN.
A Generator that produces non-zero Float values, including infinity and NaN.
A Generator that produces NonZeroFloat values.
A Generator that produces NonZeroFloat values.
Create a Generator that returns NonZeroFloats in the specified range.
Create a Generator that returns NonZeroFloats in the specified range.
The range is inclusive: both from and to may be produced by this Generator. Moreover, from and to are considered to be edge cases, so they usually will be produced in a typical run.
The value of from must be less than or equal to the value of to.
one end of the desired range
the other end of the desired range
a value within that range, inclusive of the bounds
A Generator that produces non-zero Int values.
A Generator that produces non-zero Int values.
A Generator that produces NonZeroInt values.
A Generator that produces NonZeroInt values.
Create a Generator that returns NonZeroInts in the specified range.
Create a Generator that returns NonZeroInts in the specified range.
The range is inclusive: both from and to may be produced by this Generator. Moreover, from and to are considered to be edge cases, so they usually will be produced in a typical run.
The value of from must be less than or equal to the value of to.
one end of the desired range
the other end of the desired range
a value within that range, inclusive of the bounds
A Generator that produces non-zero Long values.
A Generator that produces non-zero Long values.
A Generator that produces NonZeroLong values.
A Generator that produces NonZeroLong values.
Create a Generator that returns NonZeroLongs in the specified range.
Create a Generator that returns NonZeroLongs in the specified range.
The range is inclusive: both from and to may be produced by this Generator. Moreover, from and to are considered to be edge cases, so they usually will be produced in a typical run.
The value of from must be less than or equal to the value of to.
one end of the desired range
the other end of the desired range
a value within that range, inclusive of the bounds
A Generator that produces digit Chars.
A Generator that produces digit Chars.
A Generator that produces NumericChar values.
A Generator that produces NumericChar values.
Given an existing Generator[T], this creates a Generator[Option[T]].
Given an existing Generator[T], this creates a Generator[Option[T]].
the type that we are producing an Option of
a Generator that produces values of type T
a Generator that produces Option[T]
Given Generators for two types, G and B, this provides one for G Or B.
Given Generators for two types, G and B, this provides one for G Or B.
the "good" type for an Or
the "bad" type for an Or
a Generator that produces type G
a Generator that produces type B
a Generator that produces G Or B
A Generator that produces positive Double values, not including zero but
including infinity and NaN.
A Generator that produces positive Double values, not including zero but
including infinity and NaN.
A Generator that produces PosDouble values.
A Generator that produces PosDouble values.
Create a Generator that returns PosDoubles in the specified range.
Create a Generator that returns PosDoubles in the specified range.
The range is inclusive: both from and to may be produced by this Generator. Moreover, from and to are considered to be edge cases, so they usually will be produced in a typical run.
The value of from must be less than or equal to the value of to.
one end of the desired range
the other end of the desired range
a value within that range, inclusive of the bounds
A Generator that produces positive Double values, not including zero,
infinity or NaN.
A Generator that produces positive Double values, not including zero,
infinity or NaN.
A Generator that produces PosFiniteDouble values.
A Generator that produces PosFiniteDouble values.
Create a Generator that returns PosFiniteDoubles in the specified range.
Create a Generator that returns PosFiniteDoubles in the specified range.
The range is inclusive: both from and to may be produced by this Generator. Moreover, from and to are considered to be edge cases, so they usually will be produced in a typical run.
The value of from must be less than or equal to the value of to.
one end of the desired range
the other end of the desired range
a value within that range, inclusive of the bounds
A Generator that produces positive Float values, not including zero,
infinity or NaN.
A Generator that produces positive Float values, not including zero,
infinity or NaN.
A Generator that produces PosFiniteFloat values.
A Generator that produces PosFiniteFloat values.
Create a Generator that returns PosFiniteFloats in the specified range.
Create a Generator that returns PosFiniteFloats in the specified range.
The range is inclusive: both from and to may be produced by this Generator. Moreover, from and to are considered to be edge cases, so they usually will be produced in a typical run.
The value of from must be less than or equal to the value of to.
one end of the desired range
the other end of the desired range
a value within that range, inclusive of the bounds
A Generator that produces positive Float values, not including zero
but including infinites and NaN.
A Generator that produces positive Float values, not including zero
but including infinites and NaN.
A Generator that produces PosFloat values.
A Generator that produces PosFloat values.
Create a Generator that returns PosFloats in the specified range.
Create a Generator that returns PosFloats in the specified range.
The range is inclusive: both from and to may be produced by this Generator. Moreover, from and to are considered to be edge cases, so they usually will be produced in a typical run.
The value of from must be less than or equal to the value of to.
one end of the desired range
the other end of the desired range
a value within that range, inclusive of the bounds
A Generator that produces positive Int values, not including zero.
A Generator that produces positive Int values, not including zero.
A Generator that produces PosInt values.
A Generator that produces PosInt values.
Create a Generator that returns PosInts in the specified range.
Create a Generator that returns PosInts in the specified range.
The range is inclusive: both from and to may be produced by this Generator. Moreover, from and to are considered to be edge cases, so they usually will be produced in a typical run.
The value of from must be less than or equal to the value of to.
one end of the desired range
the other end of the desired range
a value within that range, inclusive of the bounds
A Generator that produces positive Long values, not including zero.
A Generator that produces positive Long values, not including zero.
A Generator that produces PosLong values.
A Generator that produces PosLong values.
Create a Generator that returns PosLongs in the specified range.
Create a Generator that returns PosLongs in the specified range.
The range is inclusive: both from and to may be produced by this Generator. Moreover, from and to are considered to be edge cases, so they usually will be produced in a typical run.
The value of from must be less than or equal to the value of to.
one end of the desired range
the other end of the desired range
a value within that range, inclusive of the bounds
A Generator that produces positive Double values, including zero, infinity
and NaN.
A Generator that produces positive Double values, including zero, infinity
and NaN.
A Generator that produces PosZDouble values.
A Generator that produces PosZDouble values.
Create a Generator that returns PosZDoubles in the specified range.
Create a Generator that returns PosZDoubles in the specified range.
The range is inclusive: both from and to may be produced by this Generator. Moreover, from and to are considered to be edge cases, so they usually will be produced in a typical run.
The value of from must be less than or equal to the value of to.
one end of the desired range
the other end of the desired range
a value within that range, inclusive of the bounds
A Generator that produces positive Int values.
A Generator that produces positive Int values.
A Generator that produces PosZFiniteDouble values.
A Generator that produces PosZFiniteDouble values.
Create a Generator that returns PosZFiniteDoubles in the specified range.
Create a Generator that returns PosZFiniteDoubles in the specified range.
The range is inclusive: both from and to may be produced by this Generator. Moreover, from and to are considered to be edge cases, so they usually will be produced in a typical run.
The value of from must be less than or equal to the value of to.
one end of the desired range
the other end of the desired range
a value within that range, inclusive of the bounds
A Generator that produces positive Float values, including zero but not
including infinity or NaN.
A Generator that produces positive Float values, including zero but not
including infinity or NaN.
A Generator that produces PosZFiniteFloat values.
A Generator that produces PosZFiniteFloat values.
Create a Generator that returns PosZFiniteFloats in the specified range.
Create a Generator that returns PosZFiniteFloats in the specified range.
The range is inclusive: both from and to may be produced by this Generator. Moreover, from and to are considered to be edge cases, so they usually will be produced in a typical run.
The value of from must be less than or equal to the value of to.
one end of the desired range
the other end of the desired range
a value within that range, inclusive of the bounds
A Generator that produces positive Float values, including zero, infinity
and NaN.
A Generator that produces positive Float values, including zero, infinity
and NaN.
A Generator that produces PosZFloat values.
A Generator that produces PosZFloat values.
Create a Generator that returns PosZFloats in the specified range.
Create a Generator that returns PosZFloats in the specified range.
The range is inclusive: both from and to may be produced by this Generator. Moreover, from and to are considered to be edge cases, so they usually will be produced in a typical run.
The value of from must be less than or equal to the value of to.
one end of the desired range
the other end of the desired range
a value within that range, inclusive of the bounds
A Generator that produces positive Int values, including zero.
A Generator that produces positive Int values, including zero.
A Generator that produces PosZInt values.
A Generator that produces PosZInt values.
Create a Generator that returns PosZInts in the specified range.
Create a Generator that returns PosZInts in the specified range.
The range is inclusive: both from and to may be produced by this Generator. Moreover, from and to are considered to be edge cases, so they usually will be produced in a typical run.
The value of from must be less than or equal to the value of to.
one end of the desired range
the other end of the desired range
a value within that range, inclusive of the bounds
A Generator that produces positive Long values, including zero.
A Generator that produces positive Long values, including zero.
A Generator that produces PosZLong values.
A Generator that produces PosZLong values.
Create a Generator that returns PosZLongs in the specified range.
Create a Generator that returns PosZLongs in the specified range.
The range is inclusive: both from and to may be produced by this Generator. Moreover, from and to are considered to be edge cases, so they usually will be produced in a typical run.
The value of from must be less than or equal to the value of to.
one end of the desired range
the other end of the desired range
a value within that range, inclusive of the bounds
Given a Generator that produces values of type T, this creates one for a Set of T.
Given a Generator that produces values of type T, this creates one for a Set of T.
Note that the Set type is considered to have a "size", so you can use the configuration parameters
Configuration.minSize and Configuration.sizeRange to constrain the sizes of the resulting Sets
when you use this Generator.
The resulting Generator also has the HavingSize trait, so you can use it to generate Sets with specific sizes.
the type to produce
a Generator that produces values of type T
a Generator that produces Set[T].
A Generator that produces Short values.
A Generator that produces Short values.
Create a Generator that returns Shorts in the specified range.
Create a Generator that returns Shorts in the specified range.
The range is inclusive: both from and to may be produced by this Generator. Moreover, from and to are considered to be edge cases, so they usually will be produced in a typical run.
The value of from must be less than or equal to the value of to.
one end of the desired range
the other end of the desired range
a value within that range, inclusive of the bounds
Given a Generator that produces Tuples of key/value pairs, this gives you one that produces SortedMaps with those pairs.
Given a Generator that produces Tuples of key/value pairs, this gives you one that produces SortedMaps with those pairs.
If you are simply looking for random pairing of the key and value types, this is pretty easy to use: if both the key and value types have Generators, then the Tuple and SortedMap ones will be automatically and implicitly created when you need them.
The resulting Generator also has the HavingSize trait, so you can use it to generate SortedMaps with specific sizes.
the type of the keys for the SortedMap
the type of the values for the SortedMap
a Generator of SortedMaps from K to V
Given a Generator that produces values of type T, this creates one for a SortedSet of T.
Given a Generator that produces values of type T, this creates one for a SortedSet of T.
Note that the SortedSet type is considered to have a "size", so you can use the configuration parameters
Configuration.minSize and Configuration.sizeRange to constrain the sizes of the resulting SortedSets
when you use this Generator.
The resulting Generator also has the HavingSize trait, so you can use it to generate SortedSets with specific sizes.
the type to produce
a Generator that produces values of type T
a Generator that produces SortedSet[T].
Creates a Generator that will always return exactly the same value.
Creates a Generator that will always return exactly the same value.
This is specialized, but occasionally useful. It is mainly appropriate when you have a function that requires a Generator, but only one value makes sense for the Property you are evaluating.
the type of that value
the value to produce
a Generator that will always produce that value
Given a list of values of type T, this creates a Generator that will only produce those values.
Given a list of values of type T, this creates a Generator that will only produce those values.
The order in which the values are produced is random, based on the Randomizer passed
in to the next function. It may produce the same value multiple times.
the type that will be produced by the resulting Generator
a value of type T
another value of type T
more values of type T, as many as you wish
a Generator that produces exactly the specified values
A Generator that produces String values.
A Generator that produces String values.
See tuple2s.
See tuple2s.
See tuple2s.
See tuple2s.
See tuple2s.
See tuple2s.
See tuple2s.
See tuple2s.
See tuple2s.
See tuple2s.
See tuple2s.
See tuple2s.
See tuple2s.
See tuple2s.
See tuple2s.
See tuple2s.
See tuple2s.
See tuple2s.
See tuple2s.
See tuple2s.
See tuple2s.
See tuple2s.
See tuple2s.
See tuple2s.
See tuple2s.
See tuple2s.
Given Generators for types A and B, get one that produces Tuples of those types.
Given Generators for types A and B, get one that produces Tuples of those types.
tuple2s (and its variants, up through tuple22s) will create Generators on demand for essentially arbitrary Tuples, so long as you have Generators in implicit scope for all of the component types.
the first type in the Tuple
the second type in the Tuple
a Generator for type A
a Generator for type B
a Generator that produces the desired types, Tupled together.
See tuple2s.
See tuple2s.
See tuple2s.
See tuple2s.
See tuple2s.
See tuple2s.
See tuple2s.
See tuple2s.
See tuple2s.
See tuple2s.
See tuple2s.
See tuple2s.
See tuple2s.
See tuple2s.
Given a Generator for type T, this creates one for a Vector of T.
Given a Generator for type T, this creates one for a Vector of T.
Note that the Vector type is considered to have a "size", so you can use the configuration parameters
Configuration.minSize and Configuration.sizeRange to constrain the sizes of the resulting Vectors
when you use this Generator.
The resulting Generator also has the HavingLength trait, so you can use it to generate Vectors with specific lengths.
the type to produce
a Generator that produces values of type T
a Generator that produces values of type Vector[T]
These functions let you create Generators that only return specific values
These cover types from both the Scala Standard Library and Scalactic
Scalactic has many highly-precise numeric types such as NonZeroLong,
PosZFloat or FiniteDouble. These help you make sure your code is using
exactly the numbers you intend, and they are very convenient for using with
Generators. But if the code under test is not using Scalactic, you
sometimes find that you need to type .value a lot. These Generators do that
for so: you can choose a precise numeric Generator, but get the conventional
numeric type from it.
These functions take one or more types T, and create Generators that
produce collections of T.
Functions that create Generators for values in a specific range of a specific type.
These functions create Generators that produce random functions with specified parameter and return types.
These functions are one way to create Generators for case class instances.
An import-able version of CommonGenerators.
You should not usually need to import this directly, since it is mixed into GeneratorDrivenPropertyChecks and TableDrivenPropertyChecks.