Module QCheck2.Gen
A generator is responsible for generating pseudo-random values and provide shrinks (smaller values) when a test fails.
type 'a sized
= int -> 'a t
Random generator with a size bound.
Primitive generators
val unit : unit t
The unit generator.
Does not shrink.
val bool : bool t
The boolean generator.
Shrinks towards
false
.
val int : int t
Generates integers uniformly.
Shrinks towards
0
.
val pint : ?origin:int -> int t
Generates non-strictly positive integers uniformly (
0
included).Shrinks towards
origin
if specified, otherwise towards0
.
val small_nat : int t
Small positive integers (<
100
,0
included).Non-uniform: smaller numbers are more likely than bigger numbers.
Shrinks towards
0
.- since
- 0.5.1
val nat : int t
Generates natural numbers (<
10_000
).Non-uniform: smaller numbers are more likely than bigger numbers.
Shrinks towards
0
.
val big_nat : int t
Generates natural numbers, possibly large (<
1_000_000
).Non-uniform: smaller numbers are more likely than bigger numbers.
Shrinks towards
0
.- since
- 0.10
val neg_int : int t
Generates non-strictly negative integers (
0
included).Non-uniform: smaller numbers (in absolute value) are more likely than bigger numbers.
Shrinks towards
0
.
val small_int : int t
Small UNSIGNED integers, for retrocompatibility.
Shrinks towards
0
.- deprecated
use
small_nat
.
val small_signed_int : int t
Small SIGNED integers, based on
small_nat
.Non-uniform: smaller numbers (in absolute value) are more likely than bigger numbers.
Shrinks towards
0
.- since
- 0.5.2
val small_int_corners : unit -> int t
As
small_int
, but each newly created generator starts with a list of corner cases before falling back on random generation.
val ui32 : int32 t
Generates
int32
values.Shrinks towards
0l
.- deprecated
use
int32
instead, the name is wrong, values are signed.
val ui64 : int64 t
Generates
int64
values.Shrinks towards
0L
.- deprecated
use
int64
instead, the name is wrong, values are signed.
val float : float t
Generates floating point numbers.
Shrinks towards
0.
.
val pfloat : float t
Generates positive floating point numbers (
0.
included).Shrinks towards
0.
.
val nfloat : float t
Generates negative floating point numbers. (
-0.
included).Shrinks towards
-0.
.
val char : char t
Generates characters in the
0..255
range.Shrinks towards
'a'
.
val printable : char t
Generates printable characters.
The exhaustive list of character codes is:
32
to126
, inclusive'\n'
Shrinks towards
'a'
.
val numeral : char t
Generates numeral characters
'0'..'9'
.Shrinks towards
'0'
.
val string_size : ?gen:char t -> int t -> string t
Builds a string generator from a (non-negative) size generator. Accepts an optional character generator (the default is
char
).Shrinks on the number of characters first, then on the characters.
val string : string t
Builds a string generator. String size is generated by
nat
. The default character generator ischar
. See alsostring_of
andstring_printable
for versions with custom char generator.Shrinks on the number of characters first, then on the characters.
val string_of : char t -> string t
Builds a string generator using the given character generator.
Shrinks on the number of characters first, then on the characters.
- since
- 0.11
val string_printable : string t
Builds a string generator using the
printable
character generator.Shrinks on the number of characters first, then on the characters.
- since
- 0.11
val small_string : ?gen:char t -> string t
Builds a string generator, length is
small_nat
. Accepts an optional character generator (the default ischar
).Shrinks on the number of characters first, then on the characters.
val pure : 'a -> 'a t
pure a
creates a generator that always returnsa
.Does not shrink.
- since
- 0.8
val make_primitive : gen:(Stdlib.Random.State.t -> 'a) -> shrink:('a -> 'a Stdlib.Seq.t) -> 'a t
make_primitive ~gen ~shrink
creates a generator from a functiongen
that creates a random value (this function must only use the givenRandom
.State.t for randomness) and a functionshrink
that, given a valuea
, returns a lazy list of "smaller" values (used when a test fails).This lower-level function is meant to build generators for "primitive" types that can neither be built with other primitive generators nor through composition, or to have more control on the shrinking steps.
shrink
must obey the following rules (for your own definition of "small"):shrink a = Seq.empty
whena
is the smallest possible valueshrink a
must return values strictly smaller thana
, ideally from smallest to largest (for faster shrinking)let rec loop a = match shrink a () with | Nil -> () | Cons (smaller_a, _) -> loop smaller_a
must end for all valuesa
of type'a
(i.e. there must not be an infinite number of shrinking steps).
⚠️ This is an unstable API as it partially exposes the implementation. In particular, the type of
Random.State.t
may very well change in a future version, e.g. if QCheck switches to another randomness library.
val add_shrink_invariant : ('a -> bool) -> 'a t -> 'a t
add_shrink_invariant f gen
returns a generator similar togen
except all shrinks satisfyf
. This way it's easy to preserve invariants that are enforced by generators, when shrinking values- since
- 0.8
- deprecated
is this function still useful? I feel like it is either useless (invariants should already be part of the shrinking logic, not be added later) or a special, incomplete case of
Gen.t
being an Alternative (not implemented yet). For now we keep it and wait for users feedback (hence deprecation to raise attention).
Ranges
val int_bound : int -> int t
Uniform integer generator producing integers within
0..bound
.Shrinks towards
0
.- raises Invalid_argument
if the argument is negative.
val int_range : ?origin:int -> int -> int -> int t
int_range ?origin low high
is an uniform integer generator producing integers withinlow..high
(inclusive).Shrinks towards
origin
if specified, otherwise towards0
(but always stays within the range).Examples:
int_range ~origin:6 (-5) 15
will shrink towards6
int_range (-5) 15
will shrink towards0
int_range 8 20
will shrink towards8
(closest to0
within range)int_range (-20) (-8)
will shrink towards-8
(closest to0
within range)
- raises Invalid_argument
if any of the following holds:
low > high
origin < low
origin > high
val (--) : int -> int -> int t
a -- b
is an alias forint_range a b
. Seeint_range
for more information.
val float_bound_inclusive : ?origin:float -> float -> float t
float_bound_inclusive ?origin bound
returns a random floating-point number between0.
andbound
(inclusive). Ifbound
is negative, the result is negative or zero. Ifbound
is0.
, the result is0.
.Shrinks towards
origin
if given, otherwise towards0.
.- since
- 0.11
val float_bound_exclusive : ?origin:float -> float -> float t
float_bound_exclusive origin bound
returns a random floating-point number between0.
andbound
(exclusive). Ifbound
is negative, the result is negative or zero.Shrinks towards
origin
if given, otherwise towards0.
.- raises Invalid_argument
if
bound
is0.
.
- since
- 0.11
val float_range : ?origin:float -> float -> float -> float t
float_range ?origin low high
generates floating-point numbers withinlow
andhigh
(inclusive).Shrinks towards
origin
if specified, otherwise towards0.
(but always stays within the range).Examples:
float_range ~origin:6.2 (-5.8) 15.1
will shrink towards6.2
float_range (-5.8) 15.1
will shrink towards0.
float_range 8.5 20.1
will shrink towards8.5
(closest to0.
within range)float_range (-20.1) (-8.5)
will shrink towards-8.5
(closest to0.
within range)
- raises Invalid_argument
if any of the following holds:
low > high
high -. low > max_float
origin < low
origin > high
- since
- 0.11
val (--.) : float -> float -> float t
a --. b
is an alias forfloat_range ~origin:a a b
. Seefloat_range
for more information.- since
- 0.11
val char_range : ?origin:char -> char -> char -> char t
char_range ?origin low high
generates chars betweenlow
andhigh
, inclusive. Example:char_range 'a' 'z'
for all lower case ASCII letters.Shrinks towards
origin
if specified, otherwise towardslow
.- raises Invalid_argument
if
low > high
.
- since
- 0.13
Choosing elements
val oneof : 'a t list -> 'a t
oneof l
constructs a generator that selects among the given list of generatorsl
.Shrinks towards the first generator of the list.
- raises Invalid_argument
or Failure if
l
is empty
val oneofl : 'a list -> 'a t
oneofl l
constructs a generator that selects among the given list of valuesl
.Shrinks towards the first element of the list.
- raises Invalid_argument
or Failure if
l
is empty
val oneofa : 'a array -> 'a t
oneofa a
constructs a generator that selects among the given array of valuesa
.Shrinks towards the first element of the array.
- raises Invalid_argument
or Failure if
l
is empty
val frequency : (int * 'a t) list -> 'a t
Constructs a generator that selects among a given list of generators. Each of the given generators are chosen based on a positive integer weight.
Shrinks towards the first element of the list.
val frequencyl : (int * 'a) list -> 'a t
Constructs a generator that selects among a given list of values. Each of the given values are chosen based on a positive integer weight.
Shrinks towards the first element of the list.
val frequencya : (int * 'a) array -> 'a t
Constructs a generator that selects among a given array of values. Each of the array entries are chosen based on a positive integer weight.
Shrinks towards the first element of the array.
Shuffling elements
val shuffle_a : 'a array -> 'a array t
Returns a copy of the array with its elements shuffled.
val shuffle_l : 'a list -> 'a list t
Creates a generator of shuffled lists.
val shuffle_w_l : (int * 'a) list -> 'a list t
Creates a generator of weighted shuffled lists. A given list is shuffled on each generation according to the weights of its elements. An element with a larger weight is more likely to be at the front of the list than an element with a smaller weight. If we want to pick random elements from the (head of) list but need to prioritize some elements over others, this generator can be useful.
Example: given a weighted list
[1, "one"; 5, "five"; 10, "ten"]
, the generator is more likely to generate["ten"; "five"; "one"]
or["five"; "ten"; "one"]
than["one"; "ten"; "five"]
because "ten" and "five" have larger weights than "one".- since
- 0.11
Corner cases
Lists, arrays and options
val list : 'a t -> 'a list t
Builds a list generator from an element generator. List size is generated by
nat
.Shrinks on the number of elements first, then on elements.
val small_list : 'a t -> 'a list t
Generates lists of small size (see
small_nat
).Shrinks on the number of elements first, then on elements.
- since
- 0.5.3
val list_size : int t -> 'a t -> 'a list t
Builds a list generator from a (non-negative) size generator and an element generator.
Shrinks on the number of elements first, then on elements.
val list_repeat : int -> 'a t -> 'a list t
list_repeat i g
builds a list generator from exactlyi
elements generated byg
.Shrinks on elements only.
val array : 'a t -> 'a array t
Builds an array generator from an element generator. Array size is generated by
nat
.Shrinks on the number of elements first, then on elements.
val array_size : int t -> 'a t -> 'a array t
Builds an array generator from a (non-negative) size generator and an element generator.
Shrinks on the number of elements first, then on elements.
val small_array : 'a t -> 'a array t
Generates arrays of small size (see
small_nat
).Shrinks on the number of elements first, then on elements.
- since
- 0.10
Combining generators
Convert a structure of generator to a generator of structure
val flatten_l : 'a t list -> 'a list t
Generate a list of elements from individual generators.
Shrinks on the elements of the list, in the list order.
- since
- 0.13
val flatten_a : 'a t array -> 'a array t
Generate an array of elements from individual generators.
Shrinks on the elements of the array, in the array order.
- since
- 0.13
val flatten_opt : 'a t option -> 'a option t
Generate an option from an optional generator.
Shrinks towards
None
then shrinks on the value.- since
- 0.13
Influencing the size of generated values
Recursive data structures
val fix : (('a -> 'b t) -> 'a -> 'b t) -> 'a -> 'b t
Parametrized fixpoint combinator for generating recursive values.
The fixpoint is parametrized over an generator state
'a
, and the fixpoint computation may change the value of this state in the recursive calls.In particular, this can be used for size-bounded generators (with
'a
asint
). The passed size-parameter should decrease to ensure termination.
Composing generators
QCheck generators compose well: it means one can easily craft generators for new values or types from existing generators.
Part of the following documentation is greatly inspired by Gabriel Scherer's excellent Generator module documentation.
Functor
Gen.t
is a functor (in the Haskell sense of "mappable"): it has a map
function to transform a generator of 'a
into a generator of 'b
, given a simple function 'a -> 'b
.
let even_gen : int Gen.t = Gen.map (fun n -> n * 2) Gen.int
let odd_gen : int Gen.t = Gen.map (fun n -> n * 2 + 1) Gen.int
let lower_case_string_gen : string Gen.t = Gen.map String.lowercase Gen.string_printable
type foo = Foo of string * int
let foo_gen : foo Gen.t =
Gen.map (fun (s, n) -> Foo (s, n)) Gen.(pair string_printable int)
Applicative
Gen.t
is applicative: it has a map2
function to apply a function of 2 (or more) arguments to 2 (or more) generators.
Another equivalent way to look at it is that it has an ap
function to apply a generator of functions to a generator of values. While at first sight this may look almost useless, it actually permits a nice syntax (using the operator alias <*>
) for functions of any number of arguments.
(* Notice that this looks suspiciously like the [foo] example above:
this is no coincidence! [pair] is a special case of [map2] where
the function wraps arguments in a tuple. *)
type foo = Foo of string * int
let foo_gen : foo Gen.t =
Gen.map2 (fun s n -> Foo (s, n)) Gen.string_printable Gen.int
let string_prefixed_with_keyword_gen : string Gen.t =
Gen.map2 (fun prefix s -> prefix ^ s)
(Gen.oneofl ["foo"; "bar"; "baz"])
Gen.string_printable
Applicatives are useful when you need several random values to build a new generator, and the values are unrelated. A good rule of thumb is: if the values could be generated in parallel, then you can use an applicative function to combine those generators.
Note that while map2
and map3
are provided, you can use functions with more than 3 arguments (and that is where the <*>
operator alias really shines):
val complex_function : bool -> string -> int -> string -> int64 -> some_big_type
(* Verbose version, using map3 and ap *)
let big_type_gen : some_big_type Gen.t = Gen.(
ap (
ap (
map3 complex_function
bool
string_printable
int)
string_printable)
int64)
(* Sleeker syntax, using operators aliases for map and ap *)
let big_type_gen : some_big_type Gen.t = Gen.(
complex_function
<$> bool
<*> string_printable
<*> int
<*> string_printable
<*> int64)
Monad
Gen.t
is a monad: it has a bind
function to return a generator (not a value) based on another generated value.
As an example, imagine you want to create a generator of (int, string) result
that is an Ok
90% of the time and an Error
10% of the time. You can generate a number between 0 and 9 and return a generator of int
(wrapped in an Ok
using map
) if the generated number is lower than 9, otherwise return a generator of string
(wrapped in an Error
using map
):
let int_string_result : (int, string) result Gen.t = Gen.(
bind (int_range 0 9) (fun n ->
if n < 9
then map Result.ok int
else map Result.error string_printable))
(* Alternative syntax with operators *)
let int_string_result : (int, string) result Gen.t = Gen.(
int_range 0 9 >>= fun n ->
if n < 9
then int >|= Result.ok
else string_printable >|= Result.error)
(* Another allternative syntax with OCaml 4.08+ binding operators *)
let int_string_result : (int, string) result Gen.t = Gen.(
let* n = int_range 0 9 in
if n < 9
then int >|= Result.ok
else string_printable >|= Result.error)
Note that this particular use case can be simplified by using frequency
:
let int_string_result : (int, string) result Gen.t = Gen.(
frequency [
(9, int >|= Result.ok);
(1, string_printable >|= Result.error)
])
val map : ('a -> 'b) -> 'a t -> 'b t
map f gen
transforms a generatorgen
by applyingf
to each generated element.Shrinks towards the shrinks of
gen
withf
applied to them.
val (>|=) : 'a t -> ('a -> 'b) -> 'b t
An infix synonym for
map
. Note the order of arguments is reversed (usually more convenient for composing).
val map2 : ('a -> 'b -> 'c) -> 'a t -> 'b t -> 'c t
map2 f gen1 gen2
transforms two generatorsgen1
andgen2
by applyingf
to each pair of generated elements.Shrinks on
gen1
and thengen2
.
val map3 : ('a -> 'b -> 'c -> 'd) -> 'a t -> 'b t -> 'c t -> 'd t
map3 f gen1 gen2 gen3
transforms three generatorsgen1
,gen2
, andgen3
by applyingf
to each triple of generated elements.Shrinks on
gen1
, thengen2
, and thengen3
.
val ap : ('a -> 'b) t -> 'a t -> 'b t
ap fgen gen
composes a function generator and an argument generator into a result generator.Shrinks on
fgen
and thengen
.
val bind : 'a t -> ('a -> 'b t) -> 'b t
bind gen f
first generates a value of type'a
withgen
and then passes it tof
to generate a value of type'b
. This is typically useful when a generator depends on the value generated by another generator.Shrinks on
gen
and then on the resulting generator.
val let+ : 'a t -> ('a -> 'b) -> 'b t
Binding operator alias for
map
.Example:
let+ n = int_range 0 10 in string_of_int n (* is equivalent to *) map (fun n -> string_of_int n) (int_range 0 10)
val and+ : 'a t -> 'b t -> ('a * 'b) t
Binding operator alias for
pair
.Example:
let+ n = int_range 0 10 and+ b = bool in if b then string_of_int n else "Not a number" (* is equivalent to *) map (fun (n, b) -> if b then string_of_int n else "Not a number") (pair (int_range 0 10) bool)
val let* : 'a t -> ('a -> 'b t) -> 'b t
Binding operator alias for
bind
.Example:
let* n = int_range 0 9 in if n < 9 then int >|= Result.ok else string_printable >|= Result.error (* is equivalent to *) bind (int_range 0 9) (fun n -> if n < 9 then map Result.ok int else map Result.error string_printable)
val and* : 'a t -> 'b t -> ('a * 'b) t
Binding operator alias for
pair
.Example:
let* n = int_range 0 9 and* b = bool in if n < 9 then int >|= Result.ok else if b then pure (Error "Some specific error") else string_printable >|= Result.error (* is equivalent to *) bind (pair (int_range 0 9) bool) (fun (n, b) -> if n < 9 then map Result.ok int else if b then pure (Error "Some specific error") else map Result.error string_printable)
Debug generators
These functions should not be used in tests: they are provided for convenience to debug/investigate what values and shrinks a generator produces.
val generate : ?rand:Stdlib.Random.State.t -> n:int -> 'a t -> 'a list
generate ~n gen
generatesn
values usinggen
(shrinks are discarded).
val generate1 : ?rand:Stdlib.Random.State.t -> 'a t -> 'a
generate1 gen
generates one instance ofgen
(shrinks are discarded).