[nu-std] std-rfc/random: add random choice (#16270)

# Description

Adds `random choice` suggested in #16241.

# User-Facing Changes

New `random` module in `std-rfc` with the `choice` subcommand.

# Tests + Formatting

Unsure how do to do tests. Sampling and a histogram should be enough,
but they'll be non-deterministic.

# After Submitting

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---------

Co-authored-by: sholderbach <sholderbach@users.noreply.github.com>
This commit is contained in:
Andrej Kolčin
2025-08-04 18:36:28 +00:00
committed by GitHub
parent f33d952adf
commit f015409253
3 changed files with 78 additions and 0 deletions

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@ -132,6 +132,11 @@ pub fn load_standard_library(
"std-rfc/iter",
include_str!("../std-rfc/iter/mod.nu"),
),
(
"mod.nu",
"std-rfc/random",
include_str!("../std-rfc/random/mod.nu"),
),
];
for (filename, std_rfc_subdir_name, content) in std_rfc_submodules.drain(..) {

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@ -4,6 +4,7 @@ export use path *
export module clip
export module str
export module iter
export module random
# kv module depends on sqlite feature, which may not be available in some builds
const kv_module = if ("sqlite" in (version).features) { "std-rfc/kv" } else { null }

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@ -0,0 +1,72 @@
# for examples
alias "random choice" = choice
# Sample `k` elements from a list
#
# This function will pick a simple random sample from input without replacement
# (each element from the input can only be picked once).
#
# The sample is treated as a set. This means that the combined probability of
# `[1 2 3 4] | random choice 2` returning `[3, 4]` or `[4, 3]` equals that of
# `[1, 2]`. To ensure that all permutations are equally probable, use
# `shuffle` or `sort`.
#
# The current implementation collects the input stream. This might change in
# the future.
@example "Pick 2 random items" {
[1 2 3 4 5] | random choice 2
}
@example "Verify that the elements are picked uniformly" {
0..100_000
| each {
[1 2 3 4 5] | random choice 2 | sort | to nuon
}
| histogram
}
export def choice [
n: int = 1 # number of items to sample
]: list -> list {
# XXX: this collects the stream
let input = $in
let len = $input | length
if $n > ($input | length) {
error make {
msg: "Can't sample more elements than there are in input"
label: {
text: $"Tried to sample ($n) out of ($len)"
span: (metadata $n).span
}
}
}
# always return a list, even though `first 1` returns standalone T
mut output = $input | if $n == 1 {
first | [$in]
} else {
first $n
}
# reservoir sampling, algorithm L
# https://doi.org/10.1145/198429.198435
mut w = (random float) ** (1 / $n)
mut i = $n - 1
loop {
$i += (random float | math ln) / (1.0 - $w | math ln)
| math floor
| $in + 1
if $i < $len {
let el = $input | get $i
$output = $output | update (random int 0..<$n) $el
$w *= (random float) ** (1 / $n)
} else {
break
}
}
$output
}