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authorVincent Ambo <tazjin@google.com>2020-01-17T18·37+0000
committerVincent Ambo <tazjin@google.com>2020-01-17T18·37+0000
commit7db9b2aa71847e96e5d5a4713a7835147278a1b4 (patch)
treeaf32fc26548916e90d1ed951340da76ff60e9887 /third_party/lisp/fiveam/src/random.lisp
parent807445a10b4d6f2faff3765bbe1dc38cad81b31c (diff)
parent728a186263688293c214297cf8ea34dde8b20edb (diff)
Merge commit '728a186263688293c214297cf8ea34dde8b20edb' as 'third_party/lisp/fiveam' r/396
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+;;;; -*- Mode: Lisp; indent-tabs-mode: nil -*-
+
+(in-package :it.bese.fiveam)
+
+;;;; ** Random (QuickCheck-ish) testing
+
+;;;; FiveAM provides the ability to automatically generate a
+;;;; collection of random input data for a specific test and run a
+;;;; test multiple times.
+
+;;;; Specification testing is done through the FOR-ALL macro. This
+;;;; macro will bind variables to random data and run a test body a
+;;;; certain number of times. Should the test body ever signal a
+;;;; failure we stop running and report what values of the variables
+;;;; caused the code to fail.
+
+;;;; The generation of the random data is done using "generator
+;;;; functions" (see below for details). A generator function is a
+;;;; function which creates, based on user supplied parameters, a
+;;;; function which returns random data. In order to facilitate
+;;;; generating good random data the FOR-ALL macro also supports guard
+;;;; conditions and creating one random input based on the values of
+;;;; another (see the FOR-ALL macro for details).
+
+;;;; *** Public Interface to the Random Tester
+
+(defparameter *num-trials* 100
+  "Number of times we attempt to run the body of the FOR-ALL test.")
+
+(defparameter *max-trials* 10000
+  "Number of total times we attempt to run the body of the
+  FOR-ALL test including when the body is skipped due to failed
+  guard conditions.
+
+Since we have guard conditions we may get into infinite loops
+where the test code is never run due to the guards never
+returning true. This second run limit prevents that.")
+
+(defmacro for-all (bindings &body body)
+  "Bind BINDINGS to random variables and test BODY *num-trials* times.
+
+BINDINGS is a list of binding forms, each element is a list
+of (BINDING VALUE &optional GUARD). Value, which is evaluated
+once when the for-all is evaluated, must return a generator which
+be called each time BODY is evaluated. BINDING is either a symbol
+or a list which will be passed to destructuring-bind. GUARD is a
+form which, if present, stops BODY from executing when IT returns
+NIL. The GUARDS are evaluated after all the random data has been
+generated and they can refer to the current value of any
+binding. NB: Generator forms, unlike guard forms, can not contain
+references to the bound variables.
+
+Examples:
+
+  (for-all ((a (gen-integer)))
+    (is (integerp a)))
+
+  (for-all ((a (gen-integer) (plusp a)))
+    (is (integerp a))
+    (is (plusp a)))
+
+  (for-all ((less (gen-integer))
+            (more (gen-integer) (< less more)))
+    (is (<= less more)))
+
+  (for-all (((a b) (gen-two-integers)))
+    (is (integerp a))
+    (is (integerp b)))"
+  (with-gensyms (test-lambda-args)
+    `(perform-random-testing
+      (list ,@(mapcar #'second bindings))
+      (lambda (,test-lambda-args)
+        (destructuring-bind ,(mapcar #'first bindings)
+            ,test-lambda-args
+          (if (and ,@(delete-if #'null (mapcar #'third bindings)))
+              (progn ,@body)
+              (throw 'run-once
+                (list :guard-conditions-failed))))))))
+
+;;;; *** Implementation
+
+;;;; We could just make FOR-ALL a monster macro, but having FOR-ALL be
+;;;; a preproccessor for the perform-random-testing function is
+;;;; actually much easier.
+
+(defun perform-random-testing (generators body)
+  (loop
+     with random-state = *random-state*
+     with total-counter = *max-trials*
+     with counter = *num-trials*
+     with run-at-least-once = nil
+     until (or (zerop total-counter)
+               (zerop counter))
+     do (let ((result (perform-random-testing/run-once generators body)))
+          (ecase (first result)
+            (:pass
+             (decf counter)
+             (decf total-counter)
+             (setf run-at-least-once t))
+            (:no-tests
+             (add-result 'for-all-test-no-tests
+                         :reason "No tests"
+                         :random-state random-state)
+             (return-from perform-random-testing nil))
+            (:guard-conditions-failed
+             (decf total-counter))
+            (:fail
+             (add-result 'for-all-test-failed
+                         :reason "Found failing test data"
+                         :random-state random-state
+                         :failure-values (second result)
+                         :result-list (third result))
+             (return-from perform-random-testing nil))))
+     finally (if run-at-least-once
+                 (add-result 'for-all-test-passed)
+                 (add-result 'for-all-test-never-run
+                             :reason "Guard conditions never passed"))))
+
+(defun perform-random-testing/run-once (generators body)
+  (catch 'run-once
+    (bind-run-state ((result-list '()))
+      (let ((values (mapcar #'funcall generators)))
+        (funcall body values)
+        (cond
+          ((null result-list)
+           (throw 'run-once (list :no-tests)))
+          ((every #'test-passed-p result-list)
+           (throw 'run-once (list :pass)))
+          ((notevery #'test-passed-p result-list)
+           (throw 'run-once (list :fail values result-list))))))))
+
+(defclass for-all-test-result ()
+  ((random-state :initarg :random-state)))
+
+(defclass for-all-test-passed (test-passed for-all-test-result)
+  ())
+
+(defclass for-all-test-failed (test-failure for-all-test-result)
+  ((failure-values :initarg :failure-values)
+   (result-list :initarg :result-list)))
+
+(defgeneric for-all-test-failed-p (object)
+  (:method ((object for-all-test-failed)) t)
+  (:method ((object t)) nil))
+
+(defmethod reason ((result for-all-test-failed))
+  (format nil "Falsifiable with ~S" (slot-value result 'failure-values)))
+
+(defclass for-all-test-no-tests (test-failure for-all-test-result)
+  ())
+
+(defclass for-all-test-never-run (test-failure for-all-test-result)
+  ())
+
+;;;; *** Generators
+
+;;;; Since this is random testing we need some way of creating random
+;;;; data to feed to our code. Generators are regular functions which
+;;;; create this random data.
+
+;;;; We provide a set of built-in generators.
+
+(defun gen-integer (&key (max (1+ most-positive-fixnum))
+                         (min (1- most-negative-fixnum)))
+  "Returns a generator which produces random integers greater
+than or equal to MIN and less than or equal to MAX."
+  (lambda ()
+    (+ min (random (1+ (- max min))))))
+
+(defun gen-float (&key bound (type 'short-float))
+  "Returns a generator which produces floats of type TYPE. BOUND,
+if specified, constrains the results to be in the range (-BOUND,
+BOUND)."
+  (lambda ()
+    (let* ((most-negative (ecase type
+                            (short-float most-negative-short-float)
+                            (single-float most-negative-single-float)
+                            (double-float most-negative-double-float)
+                            (long-float most-negative-long-float)))
+           (most-positive (ecase type
+                            (short-float most-positive-short-float)
+                            (single-float most-positive-single-float)
+                            (double-float most-positive-double-float)
+                            (long-float most-positive-long-float)))
+           (bound (or bound (max most-positive (- most-negative)))))
+      (coerce
+       (ecase (random 2)
+         (0 ;; generate a positive number
+          (random (min most-positive bound)))
+         (1 ;; generate a negative number
+          (- (random (min (- most-negative) bound)))))
+       type))))
+
+(defun gen-character (&key (code-limit char-code-limit)
+                           (code (gen-integer :min 0 :max (1- code-limit)))
+                           (alphanumericp nil))
+  "Returns a generator of characters.
+
+CODE must be a generator of random integers. ALPHANUMERICP, if
+non-NIL, limits the returned chars to those which pass
+alphanumericp."
+  (lambda ()
+    (loop
+       for count upfrom 0
+       for char = (code-char (funcall code))
+       until (and char
+                  (or (not alphanumericp)
+                      (alphanumericp char)))
+       when (= 1000 count)
+       do (error "After 1000 iterations ~S has still not generated ~:[a valid~;an alphanumeric~] character :(."
+                 code alphanumericp)
+       finally (return char))))
+
+(defun gen-string (&key (length (gen-integer :min 0 :max 80))
+                        (elements (gen-character))
+                        (element-type 'character))
+  "Returns a generator which produces random strings. LENGTH must
+be a generator which produces integers, ELEMENTS must be a
+generator which produces characters of type ELEMENT-TYPE."
+  (lambda ()
+    (loop
+       with length = (funcall length)
+       with string = (make-string length :element-type element-type)
+       for index below length
+       do (setf (aref string index) (funcall elements))
+       finally (return string))))
+
+(defun gen-list (&key (length (gen-integer :min 0 :max 10))
+                      (elements (gen-integer :min -10 :max 10)))
+  "Returns a generator which produces random lists. LENGTH must be
+an integer generator and ELEMENTS must be a generator which
+produces objects."
+  (lambda ()
+    (loop
+       repeat (funcall length)
+       collect (funcall elements))))
+
+(defun gen-tree (&key (size 20)
+                      (elements (gen-integer :min -10 :max 10)))
+  "Returns a generator which produces random trees. SIZE controls
+the approximate size of the tree, but don't try anything above
+ 30, you have been warned. ELEMENTS must be a generator which
+will produce the elements."
+  (labels ((rec (&optional (current-depth 0))
+             (let ((key (random (+ 3 (- size current-depth)))))
+               (cond ((> key 2)
+                      (list (rec (+ current-depth 1))
+                            (rec (+ current-depth 1))))
+                     (t (funcall elements))))))
+    (lambda ()
+      (rec))))
+
+(defun gen-buffer (&key (length (gen-integer :min 0 :max 50))
+                        (element-type '(unsigned-byte 8))
+                        (elements (gen-integer :min 0 :max (1- (expt 2 8)))))
+  (lambda ()
+    (let ((buffer (make-array (funcall length) :element-type element-type)))
+      (map-into buffer elements))))
+
+(defun gen-one-element (&rest elements)
+  (lambda ()
+    (nth (random (length elements)) elements)))
+
+;;;; The trivial always-produce-the-same-thing generator is done using
+;;;; cl:constantly.