> For the complete documentation index, see [llms.txt](https://trizen.gitbook.io/sidef-lang/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://trizen.gitbook.io/sidef-lang/programming_tasks/r/rock-paper-scissors.md).

# Rock-paper-scissors

```ruby
const rps = %w(r p s)

const msg = [
    "Rock breaks scissors",
    "Paper covers rock",
    "Scissors cut paper",
]

say <<"EOT"
\n>> Rock Paper Scissors <<\n
** Enter 'r', 'p', or 's' as your play.
** Enter 'q' to exit the game.
** Running score shown as <your wins>:<my wins>
EOT

var plays   = 0
var aScore  = 0
var pScore  = 0
var pcf     = [0,0,0]      # pcf = player choice frequency
var aChoice = pick(0..2)   # ai choice for first play is completely random

loop {
    var pi = Sys.scanln("Play: ")
    pi == 'q' && break

    var pChoice = rps.index(pi)

    if (pChoice == -1) {
        STDERR.print("Invalid input!\n")
        next
    }

    ++pcf[pChoice]
    ++plays

    # show result of play
    ">> My play: %-8s".printf(rps[aChoice])

    given ((aChoice - pChoice + 3) % 3) {
        when (0) { say "Tie." }
        when (1) { "%-*s %s".printlnf(30, msg[aChoice], 'My point');   aScore++ }
        when (2) { "%-*s %s".printlnf(30, msg[pChoice], 'Your point'); pScore++ }
    }

    # show score
    "%-6s".printf("%d:%d" % (pScore, aScore))

    # compute ai choice for next play
    given (plays.rand.int) { |rn|
        case (rn < pcf[0])        { aChoice = 1 }
        case (pcf[0]+pcf[1] > rn) { aChoice = 2 }
        default                   { aChoice = 0 }
    }
}
```

#### Sample run:

```
>> Rock Paper Scissors <<

** Enter 'r', 'p', or 's' as your play.
** Enter 'q' to exit the game.
** Running score shown as <your wins>:<my wins>

Play: r
>> My play: s       Rock breaks scissors           Your point
1:0   Play: p
>> My play: p       Tie.
1:0   Play: r
>> My play: s       Rock breaks scissors           Your point
2:0   Play: s
>> My play: p       Scissors cut paper             Your point
3:0   Play: r
>> My play: p       Paper covers rock              My point
3:1   Play: p
>> My play: r       Paper covers rock              Your point
4:1   Play: q
```


---

# Agent Instructions
This documentation is published with GitBook. GitBook is the documentation platform designed so that both humans and AI agents can read, navigate, and reason over technical content effectively. Learn more at gitbook.com.

## Querying This Documentation
If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question.

Perform an HTTP GET request on the current page URL with the `ask` query parameter, and the optional `goal` query parameter:

```
GET https://trizen.gitbook.io/sidef-lang/programming_tasks/r/rock-paper-scissors.md?ask=<question>&goal=<endgoal>
```

`ask` is the immediate question: it should be specific, self-contained, and written in natural language.
`goal` is optional and describes the broader end goal you are ultimately trying to accomplish on behalf of the user. GitBook uses it to tailor the answer towards what is most useful for that goal.

The response will contain a direct answer to the question and relevant excerpts and sources from the documentation.

Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.