random.3: Some minor improvements to wording/clarity
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@ -28,7 +28,7 @@
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.\" @(#)random.3 8.1 (Berkeley) 6/4/93
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.\" $FreeBSD$
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.\"
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.Dd April 22, 2019
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.Dd January 20, 2020
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.Dt RANDOM 3
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.Os
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.Sh NAME
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@ -60,7 +60,7 @@ Applications which require unpredictable random numbers should use
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instead.
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.Ef
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.Pp
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The
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Unless initialized with less than 32 bytes of state, the
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.Fn random
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function
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uses a non-linear additive feedback random number generator employing a
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@ -72,53 +72,51 @@ The period of this random number generator is very large, approximately
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.if t 16\(mu(2\u\s731\s10\d\(mi1).
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.if n 16*((2**31)\(mi1).
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.Pp
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If initialized with less than 32 bytes of state,
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.Fn random
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uses the same poor-quality Park-Miller LCG as
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.Xr rand 3 .
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.Pp
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The
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.Fn random
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and
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.Fn srandom
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functions have (almost) the same calling sequence and initialization properties as the
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functions are analagous to
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.Xr rand 3
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and
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.Xr srand 3
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functions.
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.Xr srand 3 .
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The difference is that
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.Xr rand 3
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produces a much less random sequence \(em in fact, the low dozen bits
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generated by rand go through a cyclic pattern.
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All the bits generated by
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.Fn random
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are usable.
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For example,
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.Sq Li random()&01
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will produce a random binary
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value.
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is a worse pseudo-random number generator.
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.Pp
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Like
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.Xr rand 3 ,
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.Fn random
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will by default produce a sequence of numbers that can be duplicated
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by calling
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.Fn srandom
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with
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.Ql 1
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as the seed.
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is implicitly initialized as if
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.Fn srandom "1"
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had been invoked explicitly.
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.Pp
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The
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.Fn srandomdev
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routine initializes a state array using
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pseudo-random numbers obtained from the kernel.
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Note that this particular seeding
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procedure can generate states which are impossible to reproduce by
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calling
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.Fn srandom
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with any value, since the succeeding terms in the
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state buffer are no longer derived from the LC algorithm applied to
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a fixed seed.
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routine initializes the state array using random numbers obtained from the
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kernel.
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This can generate states which are impossible to reproduce by calling
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.Fn srandom ,
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because the succeeding terms in the state buffer are no longer derived from the
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Park-Miller LCG algorithm applied to a fixed seed.
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.Pp
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The
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.Fn initstate
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routine allows a state array, passed in as an argument, to be initialized
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for future use.
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routine initializes the provided state array of
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.Vt uint32_t
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values and uses it in future
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.Fn random
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invocations.
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(Despite the
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.Vt char *
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type of
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.Fa state ,
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the underlying object must be a naturally aligned array of 32-bit values.)
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The size of the state array (in bytes) is used by
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.Fn initstate
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to decide how sophisticated a random number generator it should use \(em the
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@ -127,26 +125,21 @@ more state, the better the random numbers will be.
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8, 32, 64, 128, and 256 bytes; other amounts will be rounded down to
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the nearest known amount.
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Using less than 8 bytes will cause an error.)
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The seed for the initialization (which specifies a starting point for
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the random number sequence, and provides for restarting at the same
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point) is also an argument.
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The
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.Fa seed
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is used as in
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.Fn srandom .
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The
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.Fn initstate
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function
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returns a pointer to the previous state information array.
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.Pp
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Once a state has been initialized, the
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.Fn setstate
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routine provides for rapid switching between states.
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The
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.Fn setstate
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function
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returns a pointer to the previous state array; its
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argument state array is used for further random number generation
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until the next call to
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.Fn initstate
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or
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.Fn setstate .
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routine switches
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.Fn random
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to using the provided state.
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It returns a pointer to the previous state.
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.Pp
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Once a state array has been initialized, it may be restarted at a
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different point either by calling
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