std.random.RandomCover/randomCover  - multiple declarations
				Function randomCover
Covers a given range r in a random manner, i.e. goes through each
element of r once and only once, just in a random order. r
must be a random-access range with length.
						
				auto randomCover(Range, UniformRNG)
				(
				
				  Range r,
				
				  auto ref UniformRNG rng
				
				)
				
				if (isRandomAccessRange!Range && isUniformRNG!UniformRNG);
				
				
				auto randomCover(Range)
				(
				
				  Range r
				
				)
				
				if (isRandomAccessRange!Range);
						
					
				If no random number generator is passed to randomCover, the
thread-global RNG rndGen will be used internally.
Parameters
| Name | Description | 
|---|---|
| r | random-access range to cover | 
| rng | (optional) random number generator to use;
          if not specified, defaults to rndGen | 
Returns
Range whose elements consist of the elements of r,
    in random order.  Will be a forward range if both r and
    rng are forward ranges, an
    input range otherwise.
Example
import stdStruct RandomCover
Covers a given range r in a random manner, i.e. goes through each
element of r once and only once, just in a random order. r
must be a random-access range with length.
						
				struct RandomCover(Range, UniformRNG)
				
				  
				
				if (isRandomAccessRange!Range && (isUniformRNG!UniformRNG || is(UniformRNG == void)));
						
					
				If no random number generator is passed to randomCover, the
thread-global RNG rndGen will be used internally.
Parameters
| Name | Description | 
|---|---|
| r | random-access range to cover | 
| rng | (optional) random number generator to use;
          if not specified, defaults to rndGen | 
Returns
Range whose elements consist of the elements of r,
    in random order.  Will be a forward range if both r and
    rng are forward ranges, an
    input range otherwise.
Example
import stdAuthors
Andrei Alexandrescu Masahiro Nakagawa (Xorshift random generator) Joseph Rushton Wakeling (Algorithm D for random sampling) Ilya Yaroshenko (Mersenne Twister implementation, adapted from mir-random)