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The auxiliary library `(vicare crypto randomisations vectors)`

exports bindings specialised to handle vectors and randomness sources;
it is based on both `(vicare crypto randomisations)`

and
`(vicare containers vectors)`

. Arguments to the following
functions follow the same conventions established for ```
(vicare
containers vectors)
```

and `(vicare crypto vectors low)`

.
Interface conventions

- Function:
**random-vector-unfold-numbers**`number-maker``number-of-numbers` Given the closure

`number-maker`returning a random number, build and return a new list of`number-of-numbers`random numbers.

- Function:
**%random-vector-shuffle**`source``vec``start``past` - Macro:
**random-vector-shuffle**`V``source` Build a new vector copying the selected subvector, then shuffle it using randomness from the given

`source`. Return the new vector.

- Function:
**%random-vector-shuffle!**`source``vec``start``past` - Macro:
**random-vector-shuffle!**`V``source` Shuffle the selected subvector using randomness from the given

`source`. Return the shuffled vector itself.

- Function:
**%random-vector-sample**`source``vec``start``past` - Macro:
**random-vector-sample**`V``source` Return a closure that, when evaluated with no arguments, returns a randomly selected item from the selected subvector, using randomness from

`source`.

- Function:
**%random-vector-sample-population**`source``len``vec``start``past` - Macro:
**random-vector-sample-population**`V``len``source` Return a closure that, when evaluated with no arguments, returns a vector of

`len`items randomly selected from the selected subvector of`vec`, using randomness from`source`.

- Function:
**random-integers-with-sum**`requested-sum``number-of-numbers``inclusive-min``inclusive-max``source` Return a vector of length

`number-of-numbers`, holding random integers in the range delimited by`inclusive-min`and`inclusive-max`, generated using randomness from`source`. The integers are such that their sum equals`requested-sum`.

- Function:
**random-reals-with-sum**`requested-sum``tolerance``number-of-numbers``exclusive-min``exclusive-max``source` Return a vector of length

`number-of-numbers`, holding random reals in the range delimited by`exclusive-min`and`exclusive-max`, generated using randomness from`source`. The numbers are such that their sum equals approximately`requested-sum`with`tolerance`:(< (- (abs

`tolerance`)) (abs (-`requested-sum`actual-sum)) (abs`tolerance`)) ⇒ #t

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