Expand description
Write APIs that accept single values, tuples, or collections—then work with a predictable iterator inside your function.
§Core Traits
This crate provides four traits for flattening heterogeneous inputs into iterators:
IntoItems<T>– flatten inputs intoIterator<Item = T>TryIntoItems<T, E>– flatten inputs intoIterator<Item = Result<T, E>>IntoRows<T>– flatten 2D inputs into nested iteratorsTryIntoRows<T, E>– flatten 2D inputs with fallible conversion
These traits let you write functions that accept a single value, a tuple of values, or a collection, and handle them uniformly through iteration.
§Derive Macros
Generate trait implementations with the #[items_from(...)] attribute:
types(...)– types to accept (e.g.,String,&'a str,usize)tuples(n)– support tuples up to size ncollections(vec, slice, array)– which collection types to supporterror_type(Type)– lockTryInto*impls to a specific error type
§Examples
§Basic IntoItems
use itemize::IntoItems;
#[derive(Debug, IntoItems)]
#[items_from(types(u32), tuples(2), collections(vec, array))]
struct Count(u32);
impl From<u32> for Count {
fn from(value: u32) -> Self {
Count(value)
}
}
fn collect_counts(input: impl IntoItems<Count>) -> Vec<u32> {
input.into_items().map(|Count(n)| n).collect()
}
// Accepts single values, tuples, and collections
assert_eq!(collect_counts(5), vec![5]);
assert_eq!(collect_counts((1, 2)), vec![1, 2]);
assert_eq!(collect_counts([3, 4, 5]), vec![3, 4, 5]);
assert_eq!(collect_counts(vec![6, 7]), vec![6, 7]);§Fallible Parsing with TryIntoItems
use itemize::TryIntoItems;
#[derive(Debug)]
struct ParseError(String);
impl From<std::num::ParseIntError> for ParseError {
fn from(e: std::num::ParseIntError) -> Self {
ParseError(e.to_string())
}
}
#[derive(TryIntoItems)]
#[items_from(types(String, &'a str, i64), tuples(3), collections(vec, slice, array), error_type(ParseError))]
struct Int(i64);
impl TryFrom<&str> for Int {
type Error = std::num::ParseIntError;
fn try_from(s: &str) -> Result<Self, Self::Error> {
s.parse::<i64>().map(Int)
}
}
impl TryFrom<String> for Int {
type Error = std::num::ParseIntError;
fn try_from(s: String) -> Result<Self, Self::Error> {
s.parse::<i64>().map(Int)
}
}
impl TryFrom<i64> for Int {
type Error = std::num::ParseIntError;
fn try_from(n: i64) -> Result<Self, Self::Error> {
Ok(Int(n))
}
}
fn parse_ints(input: impl TryIntoItems<Int, ParseError>) -> Result<Vec<Int>, ParseError> {
input.try_into_items().collect()
}
// Accepts various input formats
let _ = parse_ints("42")?;
let _ = parse_ints(("1", "2".to_string(), 3))?;
let _ = parse_ints(["10", "20", "30"])?;§2D Flattening with IntoRows
use itemize::{IntoItems, IntoRows};
#[derive(Debug, IntoItems, IntoRows)]
#[items_from(types(&'a str), tuples(3))]
struct Cell<'a>(&'a str);
impl<'a> From<&'a str> for Cell<'a> {
fn from(value: &'a str) -> Self {
Cell(value)
}
}
fn collect_rows<'a>(input: impl IntoRows<Cell<'a>>) -> Vec<Vec<&'a str>> {
input
.into_rows()
.map(|row| row.map(|Cell(value)| value).collect())
.collect()
}
// Each tuple in the outer tuple becomes a row
let grid = collect_rows((("a", "b"), ("c", "d", "e")));
assert_eq!(grid, vec![vec!["a", "b"], vec!["c", "d", "e"]]);§Trait Bounds
IntoItems<T>implementations expectT: From<Source>for every declared source type.TryIntoItems<T, E>implementations expectT: TryFrom<Source, Error = SourceErr>withSourceErr: Into<E>.
§Additional Types
The Either type enables composing heterogeneous iterators through nesting.
It allows two different iterator types to be unified into a single type.
Re-exports§
pub use either::Either;