(defun make-random-state (&optional state)
#!+sb-doc
- "Make a RANDOM-STATE object. If STATE is not supplied, return a copy
+ "Make a random state object. If STATE is not supplied, return a copy
of the default random state. If STATE is a random state, then return a
copy of it. If STATE is T then return a random state generated from
the universal time."
(defun random-chunk (state)
(declare (type random-state state))
(sb!vm::random-mt19937 (random-state-state state)))
+
+#!-sb-fluid (declaim (inline big-random-chunk))
+(defun big-random-chunk (state)
+ (declare (type random-state state))
+ (logand (1- (expt 2 64))
+ (logior (ash (random-chunk state) 32)
+ (random-chunk state))))
\f
;;; Handle the single or double float case of RANDOM. We generate a
;;; float between 0.0 and 1.0 by clobbering the significand of 1.0
(* arg
(- (make-single-float
(dpb (ash (random-chunk state)
- (- sb!vm:single-float-digits n-random-chunk-bits))
+ (- sb!vm:single-float-digits random-chunk-length))
sb!vm:single-float-significand-byte
(single-float-bits 1.0)))
1.0)))
(* arg
(- (sb!impl::make-double-float
(dpb (ash (random-chunk state)
- (- sb!vm:double-float-digits n-random-chunk-bits 32))
+ (- sb!vm:double-float-digits random-chunk-length 32))
sb!vm:double-float-significand-byte
(sb!impl::double-float-high-bits 1d0))
(random-chunk state))
(* arg
(- (sb!impl::make-double-float
(dpb (ash (sb!vm::random-mt19937 state-vector)
- (- sb!vm:double-float-digits n-random-chunk-bits
+ (- sb!vm:double-float-digits random-chunk-length
sb!vm:n-word-bits))
sb!vm:double-float-significand-byte
(sb!impl::double-float-high-bits 1d0))
\f
;;;; random integers
-;;; a bitmask M wide enough that (= (LOGAND INCLUSIVE-LIMIT M) INCLUSIVE-LIMIT)
-(declaim (inline %inclusive-random-integer-mask))
-(defun %inclusive-random-integer-mask (inclusive-limit)
- (1- (ash 1 (integer-length inclusive-limit))))
-
-;;; Transform a uniform sample from an at-least-as-large range into a
-;;; random sample in [0,INCLUSIVE-LIMIT] range by throwing away
-;;; too-big samples.
-;;;
-;;; Up through sbcl-1.0.4, the (RANDOM INTEGER) worked by taking (MOD
-;;; RAW-MERSENNE-OUTPUT INTEGER). That introduces enough bias that it
-;;; is unsuitable for some calculations (like the Metropolis Monte
-;;; Carlo simulations that I, WHN, worked on in grad school): in the
-;;; sbcl-1.0.4, the expectation value of a sample was (in the worst
-;;; part of the range) more than 1.0001 times the ideal expectation
-;;; value. Perhaps that was even ANSI-conformant, because ANSI says only
-;;; An approximately uniform choice distribution is used. If
-;;; LIMIT is an integer, each of the possible results occurs
-;;; with (approximate) probability 1/LIMIT.
-;;; But I (WHN again) said "yuck," so these days we try to get a
-;;; truly uniform distribution by translating RAW-MERSENNE-OUTPUT to
-;;; our output using the second method recommended by
-;;; <http://www.math.sci.hiroshima-u.ac.jp/~m-mat/MT/efaq.html>:
-;;; In the rare case that the rounding-off error becomes a problem,
-;;; obtain minimum integer n such that N<=2^n, generate integer
-;;; random numbers, take the most significant n bits, and discard
-;;; those more than or equal to N.
-;;; (The first method recommended there differs from the sbcl-1.0.4
-;;; method: the recommended method gives slightly different weights
-;;; to different integers, but distributes the overweighted integers
-;;; evenly across the range of outputs so that any skew would be
-;;; of order (/ MOST-POSITIVE-MACHINE-WORD), rather than the (/ 10000)
-;;; or so achieved by sbcl-1.0.4. That skew would probably be
-;;; acceptable --- it seems to be exactly the kind of deviation that
-;;; might have been anticipated in the ANSI CL standard. However, that
-;;; recommended calculation involves multiplication and division of
-;;; two-machine-word bignums, which is hard for us to do efficiently
-;;; here. Without special low-level hacking to support such short
-;;; bignums without consing, the accept-reject solution is not only
-;;; more exact, but also likely more efficient.)
-(defmacro %inclusive-random-integer-accept-reject (raw-mersenne-output-expr
- inclusive-limit)
- (with-unique-names (raw-mersenne-output inclusive-limit-once)
- `(loop
- with ,inclusive-limit-once = ,inclusive-limit
- for ,raw-mersenne-output = ,raw-mersenne-output-expr
- until (<= ,raw-mersenne-output ,inclusive-limit-once)
- finally (return ,raw-mersenne-output))))
-
-;;; an UNSIGNED-BYTE of N-CHUNKS chunks sampled from the Mersenne twister
-(declaim (inline %random-chunks))
-(defun %random-chunks (n-chunks state)
- ;; KLUDGE: This algorithm will cons O(N^2) words when constructing
- ;; an N-word result. To do better should be fundamentally easy, we
- ;; just need to do some low-level hack preallocating the bignum and
- ;; writing its words one by one.
- ;;
- ;; Note: The old sbcl-1.0.4 code did its analogous operation using a
- ;; mysterious RANDOM-INTEGER-OVERLAP parameter, "the amount that we
- ;; overlap chunks by when building a large integer to make up for
- ;; the loss of randomness in the low bits." No such thing is called
- ;; for on
- ;; <http://www.math.sci.hiroshima-u.ac.jp/~m-mat/MT/efaq.html>:
- ;; they say there that it's OK just to concatenate words of twister
- ;; output with no overlap. Thus, crossing our fingers and hoping that
- ;; the previous RNG author didn't have some subtle reason to need
- ;; RANDOM-INTEGER-OVERLAP that we know not of, we just concatenate
- ;; chunks.
- (loop repeat n-chunks
- for result = 0 then (logior (ash result n-random-chunk-bits)
- (random-chunk state))
- finally (return result)))
-
-;;; an UNSIGNED-BYTE of N-BITS bits sampled from the Mersenne twister
-(declaim (inline %random-bits))
-(defun %random-bits (n-bits state)
- (multiple-value-bind (n-full-chunks n-extra-bits)
- (floor n-bits n-random-chunk-bits)
- (let ((full-chunks (%random-chunks n-full-chunks state)))
- (if (zerop n-extra-bits)
- full-chunks
- (logior full-chunks
- (ash (logand (random-chunk state)
- (1- (ash 1 n-extra-bits)))
- (* n-full-chunks n-random-chunk-bits)))))))
-
-;;; the guts of (RANDOM (1+ INCLUSIVE-LIMIT))
-(defun %inclusive-random-integer (inclusive-limit state)
- (declare (optimize speed (space 1))) ; to ensure DEFTRANSFORM is enabled
- (%inclusive-random-integer inclusive-limit state))
-
-;;; the guts of RANDOM for the known-to-return-FIXNUM case
-;;;
-;;; We use INCLUSIVE-LIMIT instead of the (exclusive) LIMIT of RANDOM,
-;;; because we want it to be a FIXNUM even for the possibly-common
-;;; case of (RANDOM (1+ MOST-POSITIVE-FIXNUM)). (That case is what
-;;; one might use for generating random hash values, e.g.)
-;;; It also turns out to be just what's needed for INTEGER-LENGTH.
-(declaim (maybe-inline %inclusive-random-fixnum))
-(defun %inclusive-random-fixnum (inclusive-limit state)
- (declare (type (and fixnum unsigned-byte) inclusive-limit))
- (aver (<= inclusive-limit most-positive-random-chunk))
- (let (;; If this calculation needs to be optimized further, a good
- ;; start might be a DEFTRANSFORM which picks off the case of
- ;; constant LIMIT and precomputes the MASK at compile time.
- (mask (%inclusive-random-integer-mask inclusive-limit)))
- (%inclusive-random-integer-accept-reject (logand (random-chunk state) mask)
- inclusive-limit)))
-\f
-;;;; outer, dynamically-typed interface
+(defun %random-integer (arg state)
+ (declare (type (integer 1) arg) (type random-state state))
+ (let ((shift (- random-chunk-length random-integer-overlap)))
+ (do ((bits (random-chunk state)
+ (logxor (ash bits shift) (random-chunk state)))
+ (count (+ (integer-length arg)
+ (- random-integer-extra-bits shift))
+ (- count shift)))
+ ((minusp count)
+ (rem bits arg))
+ (declare (fixnum count)))))
(defun random (arg &optional (state *random-state*))
- (declare (inline %random-single-float
- %random-double-float
+ (declare (inline %random-single-float %random-double-float
#!+long-float %random-long-float))
(cond
- ((and (fixnump arg) (plusp arg))
- (locally
- ;; The choice to inline this very common case of
- ;; %INCLUSIVE-RANDOM-FIXNUM and not the less-common call
- ;; below was just a guess (by WHN 2007-03-27), not based on
- ;; benchmarking or anything.
- (declare (inline %inclusive-random-fixnum))
- (%inclusive-random-fixnum (1- arg) state)))
+ ((and (fixnump arg) (<= arg random-fixnum-max) (> arg 0))
+ (rem (random-chunk state) arg))
((and (typep arg 'single-float) (> arg 0.0f0))
(%random-single-float arg state))
((and (typep arg 'double-float) (> arg 0.0d0))
#!+long-float
((and (typep arg 'long-float) (> arg 0.0l0))
(%random-long-float arg state))
- ((and (integerp arg) (plusp arg))
- (if (= arg (1+ most-positive-fixnum))
- (%inclusive-random-fixnum most-positive-fixnum state)
- (%inclusive-random-integer (1- arg) state)))
+ ((and (integerp arg) (> arg 0))
+ (%random-integer arg state))
(t
(error 'simple-type-error
:expected-type '(or (integer 1) (float (0))) :datum arg
projects / sbcl.git / blobdiff