---
title: "immutables"
output: rmarkdown::html_vignette
vignette: >
%\VignetteIndexEntry{immutables}
%\VignetteEngine{knitr::rmarkdown}
%\VignetteEncoding{UTF-8}
---
```{r setup, include = FALSE}
knitr::opts_chunk$set(collapse = TRUE, comment = "#>")
if(requireNamespace("pkgload", quietly = TRUE)) {
pkgload::load_all(".", quiet = TRUE)
} else if(requireNamespace("Immutables", quietly = TRUE)) {
library(Immutables)
} else {
stop("Need either installed 'Immutables' or the 'pkgload' package to render this vignette.")
}
```
## Overview
`immutables` provides four fast data structures:
[`flexseq()`](flexseq.html) - Provides list-like operations including indexed and named element
access, push/pop/peek from either end for double-ended queue behavior,
insertion, splitting, and concatenation.
[`priority_queue()`](priority-queues.html) - Associates items with priority values and provides
min and max peek/pop by priority and fast insertion.
[`ordered_sequence()`](ordered-sequences.html) - Associates items with key values and keeps the elements in
sorted order by key. These may be similarly be inserted/popped/peeked by key
value as well as position. Keys may be duplicated, with first-in-first-out
order within key groups.
[`interval_index()`](interval-indices.html) - Stores items associated with interval ranges, supporting
point and interval overlap/containment/subsumption queries. Items are kept
in interval-start-order.
A [developer API](developer-api.html) exposes the underlying monoid-annotated
finger tree primitives (custom monoids, predicate-based locate/split,
validation helpers) for building new structures and indexes.
## Quick Tour
### flexseq
Construct, then push or pop at either end:
```{r}
s <- flexseq("a", "b", "c", "d")
s |> push_front("z") |> push_back("e")
pop_front(s)$remaining
```
Random-access and positional edits:
```{r}
s[[3]]
peek_back(s)
insert_at(s, 3, c("x", "y"))
```
Map, concatenate, and iterate:
```{r}
fapply(s, toupper)
c(s, as_flexseq(letters[10:12]))
loop(for (el in s) print(el))
```
### priority_queue
Construct with priorities, optionally with names, and insert more entries:
```{r}
q <- priority_queue(a = "task_a", b = "task_b", c = "task_c", priorities = c(3, 1, 2)) |>
insert("task_d", priority = 1, name = "d")
```
Peek/pop by min or max priority; the `*_all_*` variants handle ties:
```{r}
peek_min(q)
pop_max(q)$value
pop_all_min(q)$elements
```
Read extrema and merge two queues into one:
```{r}
min_priority(q); max_priority(q)
merge(q, priority_queue("task_e", priorities = 0))
```
### ordered_sequence
Construct sorted by key (duplicates allowed, ties FIFO):
```{r}
xs <- ordered_sequence("a1", "b1", "b2", "c1", keys = c(1, 2, 2, 3))
peek_key(xs, 2)
peek_all_key(xs, 2)
```
Range queries and successor lookup:
```{r}
count_between(xs, 1, 2)
elements_between(xs, 2, 3, include_to = FALSE)
lower_bound(xs, 2)$index
```
Extrema and merge:
```{r}
min_key(xs); max_key(xs)
merge(xs, ordered_sequence("d1", keys = 4))
```
### interval_index
Construct with start/end coordinates; entries stay in start order:
```{r}
ix <- interval_index("A", "B", "C", start = c(1, 2, 4), end = c(3, 4, 5))
peek_point(ix, 2)
```
Interval-relation queries (overlap, containment), plus sweep-line endpoint matches via `match_at`:
```{r}
peek_all_overlaps(ix, start = 2, end = 5)
peek_all_containing(ix, start = 2, end = 3)
peek_all_point(ix, point = 3, match_at = "end")
```
Endpoint extrema and merge:
```{r}
min_endpoint(ix); max_endpoint(ix)
merge(ix, interval_index("D", start = 6, end = 8))
```
### developer API
Define a custom monoid (here, a running sum) and attach it to any structure:
```{r}
sum_monoid <- measure_monoid(f = `+`, i = 0, measure = function(el) el)
x <- as_flexseq(c(3, 1, 4, 1, 5, 9, 2, 6)) |>
add_monoids(list(sum = sum_monoid))
get_measure(x, "sum")
```
Use a monotonic predicate over the cached measure for $O(\log n)$ locate and split:
```{r}
locate_by_predicate(x, function(v) v > 10, "sum")
split_around_by_predicate(x, function(v) v > 10, "sum")$value
validate_tree(x)
```