Random provides an interface to Ruby's pseudo-random number generator, or PRNG. The PRNG produces a deterministic sequence of bits which approximate true randomness. The sequence may be represented by integers, floats, or binary strings.
The generator may be initialized with either a system-generated or user-supplied seed value by using ::srand.
The class method #rand provides the base functionality of Kernel#rand along with better handling of floating point values. These are both interfaces to Random::DEFAULT, the Ruby system PRNG.
::new will create a new PRNG with a state independent of Random::DEFAULT, allowing multiple generators with different seed values or sequence positions to exist simultaneously. Random objects can be marshaled, allowing sequences to be saved and resumed.
PRNGs are currently implemented as a modified Mersenne Twister with a period of 2**19937-1.
Creates a new PRNG using seed
to set the initial state. If
seed
is omitted, the generator is initialized with ::new_seed.
See ::srand for more information on the use of seed values.
static VALUE random_init(int argc, VALUE *argv, VALUE obj) { VALUE vseed; rb_random_t *rnd = get_rnd(obj); if (rb_check_arity(argc, 0, 1) == 0) { rb_check_frozen(obj); vseed = random_seed(); } else { vseed = argv[0]; rb_check_copyable(obj, vseed); vseed = rb_to_int(vseed); } rnd->seed = rand_init(&rnd->mt, vseed); return obj; }
Returns an arbitrary seed value. This is used by ::new when no seed value is specified as an argument.
Random.new_seed #=> 115032730400174366788466674494640623225
static VALUE random_seed(void) { VALUE v; uint32_t buf[DEFAULT_SEED_CNT+1]; fill_random_seed(buf, DEFAULT_SEED_CNT); v = make_seed_value(buf, DEFAULT_SEED_CNT); explicit_bzero(buf, DEFAULT_SEED_LEN); return v; }
Alias of Random::DEFAULT.rand.
static VALUE random_s_rand(int argc, VALUE *argv, VALUE obj) { VALUE v = rand_random(argc, argv, Qnil, rand_start(&default_rand)); check_random_number(v, argv); return v; }
Seeds the system pseudo-random number generator, Random::DEFAULT, with number
.
The previous seed value is returned.
If number
is omitted, seeds the generator using a source of
entropy provided by the operating system, if available (/dev/urandom on
Unix systems or the RSA cryptographic provider on Windows), which is then
combined with the time, the process id, and a sequence number.
srand may be used to ensure repeatable sequences of pseudo-random numbers between different runs of the program. By setting the seed to a known value, programs can be made deterministic during testing.
srand 1234 # => 268519324636777531569100071560086917274 [ rand, rand ] # => [0.1915194503788923, 0.6221087710398319] [ rand(10), rand(1000) ] # => [4, 664] srand 1234 # => 1234 [ rand, rand ] # => [0.1915194503788923, 0.6221087710398319]
static VALUE rb_f_srand(int argc, VALUE *argv, VALUE obj) { VALUE seed, old; rb_random_t *r = &default_rand; if (rb_check_arity(argc, 0, 1) == 0) { seed = random_seed(); } else { seed = rb_to_int(argv[0]); } old = r->seed; r->seed = rand_init(&r->mt, seed); return old; }
Returns a string, using platform providing features. Returned value is expected to be a cryptographically secure pseudo-random number in binary form. This method raises a RuntimeError if the feature provided by platform failed to prepare the result.
In 2017, Linux manpage random(7) writes that “no cryptographic primitive available today can hope to promise more than 256 bits of security”. So it might be questionable to pass size > 32 to this method.
Random.urandom(8) #=> "\x78\x41\xBA\xAF\x7D\xEA\xD8\xEA"
static VALUE random_raw_seed(VALUE self, VALUE size) { long n = NUM2ULONG(size); VALUE buf = rb_str_new(0, n); if (n == 0) return buf; if (fill_random_bytes(RSTRING_PTR(buf), n, FALSE)) rb_raise(rb_eRuntimeError, "failed to get urandom"); return buf; }
Returns true if the two generators have the same internal state, otherwise false. Equivalent generators will return the same sequence of pseudo-random numbers. Two generators will generally have the same state only if they were initialized with the same seed
Random.new == Random.new # => false Random.new(1234) == Random.new(1234) # => true
and have the same invocation history.
prng1 = Random.new(1234) prng2 = Random.new(1234) prng1 == prng2 # => true prng1.rand # => 0.1915194503788923 prng1 == prng2 # => false prng2.rand # => 0.1915194503788923 prng1 == prng2 # => true
static VALUE random_equal(VALUE self, VALUE other) { rb_random_t *r1, *r2; if (rb_obj_class(self) != rb_obj_class(other)) return Qfalse; r1 = get_rnd(self); r2 = get_rnd(other); if (memcmp(r1->mt.state, r2->mt.state, sizeof(r1->mt.state))) return Qfalse; if ((r1->mt.next - r1->mt.state) != (r2->mt.next - r2->mt.state)) return Qfalse; if (r1->mt.left != r2->mt.left) return Qfalse; return rb_equal(r1->seed, r2->seed); }
Returns a random binary string containing size
bytes.
random_string = Random.new.bytes(10) # => "\xD7:R\xAB?\x83\xCE\xFAkO" random_string.size # => 10
static VALUE random_bytes(VALUE obj, VALUE len) { return genrand_bytes(get_rnd(obj), NUM2LONG(rb_to_int(len))); }
When max
is an Integer,
rand
returns a random integer greater than or equal to zero
and less than max
. Unlike Kernel#rand, when max
is
a negative integer or zero, rand
raises an ArgumentError.
prng = Random.new prng.rand(100) # => 42
When max
is a Float,
rand
returns a random floating point number between 0.0 and
max
, including 0.0 and excluding max
.
prng.rand(1.5) # => 1.4600282860034115
When max
is a Range,
rand
returns a random number where range.member?(number) ==
true.
prng.rand(5..9) # => one of [5, 6, 7, 8, 9] prng.rand(5...9) # => one of [5, 6, 7, 8] prng.rand(5.0..9.0) # => between 5.0 and 9.0, including 9.0 prng.rand(5.0...9.0) # => between 5.0 and 9.0, excluding 9.0
Both the beginning and ending values of the range must respond to subtract
(-
) and add (+
)methods, or rand will raise an ArgumentError.
static VALUE random_rand(int argc, VALUE *argv, VALUE obj) { VALUE v = rand_random(argc, argv, obj, get_rnd(obj)); check_random_number(v, argv); return v; }
Returns the seed value used to initialize the generator. This may be used to initialize another generator with the same state at a later time, causing it to produce the same sequence of numbers.
prng1 = Random.new(1234) prng1.seed #=> 1234 prng1.rand(100) #=> 47 prng2 = Random.new(prng1.seed) prng2.rand(100) #=> 47
static VALUE random_get_seed(VALUE obj) { return get_rnd(obj)->seed; }