package exenum

  1. Overview
  2. Docs
Build efficient enumerations for datatypes. Inspired by Feat for Haskell.

Install

Dune Dependency

Authors

Maintainers

Sources

0.86.tar.gz
sha256=42a0112e2e4e85d43b5dbe207c7d118816253145ed89887b1036745de34df80f
md5=a4854a0286dfd8bcb3f34003365195a9

README.md.html

ocaml-exenum

exenum is an OCaml library that helps building exhaustive or semi-exhaustive data sets, typically for intensive unit testing.

Inspired by testing-feat for Haskell.

Install

Install with opam: opam install exenum

API Documentation

The Exenum API. See also the examples/ dir.

The ocamlfind package names are exenum and exenum.lwt (the latter is installed only if lwt is present).

When using exenum.lwt, you need to compile with the following packages (in ocamlbuild's _tag notation): package(lwt,exenum,exenum.lwt,lwt.ppx)

Overview

We consider a simple example.

  • Assume that, for testing purposes, we need many values of type int list.

open Exenum

(* Build a new enumeration of type int list. *)
let enum_intlist = e_list e_int
  • Because pretty-printing matters, we take the time to define string_of_intlist:

let string_of_intlist l = "[" ^ String.concat ", " (List.map string_of_int l) ^ "]"
  • We ask Exenum to show a few values of this enumeration:

let () = show enum_intlist string_of_intlist 0 11
Value #0 is []
Value #1 is [2]
Value #2 is [0]
Value #3 is [3]
Value #4 is [1]
Value #5 is [-2]
Value #6 is [-1]
Value #7 is [-3]
Value #8 is [4, 2]
Value #9 is [1, 2]
Value #10 is [0, -2]
  • We are curious. What are values at a very large index?

let index = Z.pow (Z.of_int 10) 200 (* Indeed, this is 10^200. *)
let () = bigshow enum_intlist string_of_intlist index 2
Value #0 is [-11141639911, 19603183504, -15283679472, 6656783909, 1634524031, -471077998, 112885229, -223859756, -132220646, -7807730, -47780089, 30956540, -11221453, 3859390, 2834978, 2087393, 895525, -306900, -121738, -9063, 29280, 23372, 13852, -6911, -2887, 1103, 846, -253, -68, -13, 43, 10, -4, -2]
Value #1 is [13635890183, -19174930941, -15838074444, -4484269954, -2648391618, -1149614834, 645802777, -18833984, 256671692, 42265941, -44644927, 19249984, 2972215, -5443265, 2028581, 844099, 519800, 375847, -76182, 27590, -64122, 29835, 14849, -7121, 4030, -327, -753, -498, 104, -8, 47, 0, -5, 4, -1]
  • Notice how these two values, which are adjacent in the enumeration, are (purposely) significantly different.

  • Computing values at a large index is quick (the complexity is basically logarithmic with respect to the index).

  • Testing a function

(* This is the function we wish to test. *)
let mysum l = List.fold_left (+) 0 l

(* This is the test we perform on mysum. *)
let test_mysum l =
  let sum1 = mysum l
  
  (* Here, we use an oracle to check if the function is right. *)
  and sum2 = List.fold_right (+) l 0 in

  assert (sum1 = sum2)
  
(* Exenum provides a 'tester', which applies test_mysum continuously. *)  
let () = tester enum_intlist ~tos:string_of_intlist ~len:1000 ~verbose_period:10000 test_mysum
  • The ~len argument is the number of consecutive indices which are tested before doubling the current index.

  • A message is printed every ~verbose_period tests.

Test number 0, index #0 ... with [] ... done
Test number 10000, index #2046000 ... with [51, 8, -9, 3, 2] ... done
Test number 20000, index #2097150000 ... with [8, 0, 17, 3, 2, 2] ... done
Test number 30000, index #2147483646000 ... with [212, 107, -20, -9, 15, 0, -1] ... done
Test number 40000, index #2199023255550000 ... with [-158, 4, 30, -48, 15, 5, -7, -2] ... done
Test number 50000, index #2251799813685246000 ... with [47, 93, -244, -54, 5, 11, -13, 3, -3] ... done
Test number 60000, index #2305843009213693950000 ... with [746, -191, 499, 61, -58, 31, -21, 9, 5, 2] ... done
...
(and so on, you have to interrupt)

Contact

Didier Le Botlan, github.lebotlan@dfgh.met where you replace .met by .net.

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