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* random.c: Improve documentation of Random. Patch by Gregory
Parkhurst. [Ruby 1.9 - Bug #5410] git-svn-id: svn+ssh://ci.ruby-lang.org/ruby/trunk@33413 b2dd03c8-39d4-4d8f-98ff-823fe69b080e
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drbrain
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@ -1,3 +1,8 @@
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Thu Oct 6 08:54:05 2011 Eric Hodel <drbrain@segment7.net>
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* random.c: Improve documentation of Random. Patch by Gregory
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Parkhurst. [Ruby 1.9 - Bug #5410]
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Thu Oct 6 01:44:51 2011 CHIKANAGA Tomoyuki <nagachika00@gmail.com>
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* cont.c (cont_mark): mark original Thread object from saved_thread.
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201
random.c
201
random.c
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@ -450,20 +450,14 @@ rand_init(struct MT *mt, VALUE vseed)
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}
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/*
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* call-seq: Random.new([seed]) -> prng
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* call-seq:
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* Random.new() -> prng
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* Random.new(seed) -> prng
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*
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* Creates new Mersenne Twister based pseudorandom number generator with
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* seed. When the argument seed is omitted, the generator is initialized
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* with Random.new_seed.
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* Creates a new PRNG using +seed+ to set the initial state. If +seed+ is
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* omitted, the generator is initialized with Random.new_seed.
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*
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* The argument seed is used to ensure repeatable sequences of random numbers
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* between different runs of the program.
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*
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* prng = Random.new(1234)
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* [ prng.rand, prng.rand ] #=> [0.191519450378892, 0.622108771039832]
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* [ prng.integer(10), prng.integer(1000) ] #=> [4, 664]
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* prng = Random.new(1234)
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* [ prng.rand, prng.rand ] #=> [0.191519450378892, 0.622108771039832]
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* See Random.srand for more information on the use of seed values.
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*/
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static VALUE
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random_init(int argc, VALUE *argv, VALUE obj)
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@ -569,7 +563,10 @@ make_seed_value(const void *ptr)
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/*
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* call-seq: Random.new_seed -> integer
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*
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* Returns arbitrary value for seed.
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* Returns an arbitrary seed value. This is used by Random.new
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* when no seed value is specified as an argument.
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*
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* Random.new_seed #=> 115032730400174366788466674494640623225
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*/
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static VALUE
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random_seed(void)
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@ -582,7 +579,16 @@ random_seed(void)
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/*
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* call-seq: prng.seed -> integer
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*
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* Returns the seed of the generator.
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* Returns the seed value used to initialize the generator. This may be used to
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* initialize another generator with the same state at a later time, causing it
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* to produce the same sequence of numbers.
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*
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* prng1 = Random.new(1234)
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* prng1.seed #=> 1234
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* prng1.rand(100) #=> 47
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*
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* prng2 = Random.new(prng1.seed)
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* prng2.rand(100) #=> 47
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*/
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static VALUE
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random_get_seed(VALUE obj)
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@ -758,17 +764,26 @@ random_load(VALUE obj, VALUE dump)
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}
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/*
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* call-seq:
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* srand(number=0) -> old_seed
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* call-seq:
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* srand(number=0) -> old_seed
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*
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* Seeds the pseudorandom number generator to the value of
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* <i>number</i>. If <i>number</i> is omitted,
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* seeds the generator using a combination of the time, the
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* process id, and a sequence number. (This is also the behavior if
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* <code>Kernel::rand</code> is called without previously calling
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* <code>srand</code>, but without the sequence.) By setting the seed
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* to a known value, scripts can be made deterministic during testing.
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* The previous seed value is returned. Also see <code>Kernel::rand</code>.
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* Seeds the system pseudo-random number generator, Random::DEFAULT, with
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* +number+. The previous seed value is returned.
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*
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* If +number+ is omitted, seeds the generator using a source of entropy
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* provided by the operating system, if available (/dev/urandom on Unix systems
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* or the RSA cryptographic provider on Windows), which is then combined with
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* the time, the process id, and a sequence number.
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*
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* srand may be used to ensure repeatable sequences of pseudo-random numbers
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* between different runs of the program. By setting the seed to a known value,
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* programs can be made deterministic during testing.
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*
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* srand 1234 # => 268519324636777531569100071560086917274
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* [ rand, rand ] # => [0.1915194503788923, 0.6221087710398319]
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* [ rand(10), rand(1000) ] # => [4, 664]
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* srand 1234 # => 1234
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* [ rand, rand ] # => [0.1915194503788923, 0.6221087710398319]
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*/
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static VALUE
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@ -878,9 +893,9 @@ limited_big_rand(struct MT *mt, struct RBignum *limit)
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}
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/*
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* Returns random unsigned long value in [0, _limit_].
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* Returns random unsigned long value in [0, +limit+].
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*
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* Note that _limit_ is included, and the range of the argument and the
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* Note that +limit+ is included, and the range of the argument and the
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* return value depends on environments.
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*/
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unsigned long
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@ -924,8 +939,10 @@ rb_random_real(VALUE obj)
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/*
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* call-seq: prng.bytes(size) -> a_string
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*
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* Returns a random binary string. The argument size specified the length of
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* the result string.
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* Returns a random binary string containing +size+ bytes.
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*
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* random_string = Random.new.bytes(10) # => "\xD7:R\xAB?\x83\xCE\xFAkO"
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* random_string.size # => 10
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*/
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static VALUE
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random_bytes(VALUE obj, VALUE len)
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@ -1111,27 +1128,32 @@ rand_range(struct MT* mt, VALUE range)
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/*
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* call-seq:
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* prng.rand -> float
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* prng.rand(limit) -> number
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* prng.rand -> float
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* prng.rand(max) -> number
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*
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* When the argument is an +Integer+ or a +Bignum+, it returns a
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* random integer greater than or equal to zero and less than the
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* argument. Unlike Random.rand, when the argument is a negative
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* integer or zero, it raises an ArgumentError.
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* When +max+ is an Integer, +rand+ returns a random integer greater than
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* or equal to zero and less than +max+. Unlike Kernel.rand, when +max+
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* is a negative integer or zero, +rand+ raises an ArgumentError.
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*
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* When the argument is a +Float+, it returns a random floating point
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* number between 0.0 and _max_, including 0.0 and excluding _max_.
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* prng = Random.new
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* prng.rand(100) # => 42
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*
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* When the argument _limit_ is a +Range+, it returns a random
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* number where range.member?(number) == true.
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* prng.rand(5..9) #=> one of [5, 6, 7, 8, 9]
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* prng.rand(5...9) #=> one of [5, 6, 7, 8]
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* prng.rand(5.0..9.0) #=> between 5.0 and 9.0, including 9.0
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* prng.rand(5.0...9.0) #=> between 5.0 and 9.0, excluding 9.0
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* When +max+ is a Float, +rand+ returns a random floating point number
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* between 0.0 and +max+, including 0.0 and excluding +max+.
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*
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* +begin+/+end+ of the range have to have subtract and add methods.
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* prng.rand(1.5) # => 1.4600282860034115
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*
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* Otherwise, it raises an ArgumentError.
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* When +max+ is a Range, +rand+ returns a random number where
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* range.member?(number) == true.
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*
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* prng.rand(5..9) # => one of [5, 6, 7, 8, 9]
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* prng.rand(5...9) # => one of [5, 6, 7, 8]
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* prng.rand(5.0..9.0) # => between 5.0 and 9.0, including 9.0
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* prng.rand(5.0...9.0) # => between 5.0 and 9.0, excluding 9.0
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*
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* Both the beginning and ending values of the range must respond to subtract
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* (<tt>-</tt>) and add (<tt>+</tt>)methods, or rand will raise an
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* ArgumentError.
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*/
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static VALUE
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random_rand(int argc, VALUE *argv, VALUE obj)
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@ -1177,9 +1199,27 @@ random_rand(int argc, VALUE *argv, VALUE obj)
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/*
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* call-seq:
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* prng1 == prng2 -> true or false
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* prng1 == prng2 -> true or false
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*
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* Returns true if the generators' states equal.
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* Returns true if the two generators have the same internal state, otherwise
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* false. Equivalent generators will return the same sequence of
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* pseudo-random numbers. Two generators will generally have the same state
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* only if they were initialized with the same seed
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*
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* Random.new == Random.new # => false
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* Random.new(1234) == Random.new(1234) # => true
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*
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* and have the same invocation history.
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*
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* prng1 = Random.new(1234)
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* prng2 = Random.new(1234)
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* prng1 == prng2 # => true
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*
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* prng1.rand # => 0.1915194503788923
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* prng1 == prng2 # => false
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*
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* prng2.rand # => 0.1915194503788923
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* prng1 == prng2 # => true
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*/
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static VALUE
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random_equal(VALUE self, VALUE other)
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@ -1196,31 +1236,32 @@ random_equal(VALUE self, VALUE other)
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}
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/*
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* call-seq:
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* rand(max=0) -> number
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* call-seq:
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* rand(max=0) -> number
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*
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* If called without an argument, or if <tt>max.to_i.abs == 0</tt>, rand
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* returns a pseudo-random floating point number between 0.0 and 1.0,
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* including 0.0 and excluding 1.0.
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*
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* If <i>max</i> is +Range+, returns a pseudorandom number where
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* range.member(number) == true.
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* rand #=> 0.2725926052826416
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*
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* Or else converts _max_ to an integer using max1 =
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* max<code>.to_i.abs</code>.
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* When <tt>max.abs</tt> is greater than or equal to 1, +rand+ returns a
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* pseudo-random integer greater than or equal to 0 and less than
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* <tt>max.to_i.abs</tt>.
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*
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* Then if _max_ is +nil+ the result is zero, returns a pseudorandom floating
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* point number greater than or equal to 0.0 and less than 1.0.
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* rand(100) #=> 12
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*
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* Otherwise, returns a pseudorandom integer greater than or equal to zero and
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* less than max1.
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* Negative or floating point values for +max+ are allowed, but may give
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* surprising results.
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*
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* <code>Kernel::srand</code> may be used to ensure repeatable sequences of
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* random numbers between different runs of the program. Ruby currently uses
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* a modified Mersenne Twister with a period of 2**19937-1.
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* rand(-100) # => 87
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* rand(-0.5) # => 0.8130921818028143
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* rand(1.9) # equivalent to rand(1), which is always 0
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*
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* srand 1234 #=> 0
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* [ rand, rand ] #=> [0.191519450163469, 0.49766366626136]
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* [ rand(10), rand(1000) ] #=> [6, 817]
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* srand 1234 #=> 1234
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* [ rand, rand ] #=> [0.191519450163469, 0.49766366626136]
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* Kernel.srand may be used to ensure that sequences of random numbers are
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* reproducible between different runs of a program.
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*
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* See also Random.rand.
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*/
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static VALUE
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@ -1244,12 +1285,11 @@ rb_f_rand(int argc, VALUE *argv, VALUE obj)
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}
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/*
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* call-seq:
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* Random.rand -> float
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* Random.rand(limit) -> number
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*
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* Alias of _Random::DEFAULT.rand_.
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* call-seq:
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* Random.rand -> float
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* Random.rand(max) -> number
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*
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* Alias of Random::DEFAULT.rand.
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*/
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static VALUE
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@ -1322,10 +1362,27 @@ rb_reset_random_seed(void)
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}
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/*
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* Document-class: Random
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* Document-class: Random
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*
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* The Random module contains module functions for producing pseudo-random
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* numbers that meet certain requirements for randomness.
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* Random provides an interface to Ruby's pseudo-random number generator, or
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* PRNG. The PRNG produces a deterministic sequence of bits which approximate
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* true randomness. The sequence may be represented by integers, floats, or
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* binary strings.
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*
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* The generator may be initialized with either a system-generated or
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* user-supplied seed value by using Random.srand.
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*
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* The class method Random.rand provides the base functionality of Kernel.rand
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* along with better handling of floating point values. These are both
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* interfaces to Random::DEFAULT, the Ruby system PRNG.
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*
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* Random.new will create a new PRNG with a state independent of
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* Random::DEFAULT, allowing multiple generators with different seed values or
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* sequence positions to exist simultaneously. Random objects can be
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* marshaled, allowing sequences to be saved and resumed.
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*
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* PRNGs are currently implemented as a modified Mersenne Twister with a period
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* of 2**19937-1.
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*/
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void
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