Struct slint::VecModel

pub struct VecModel<T> { /* private fields */ }

A model backed by a Vec<T>

Implementations

impl<T> VecModel<T>where T: 'static,

pub fn from_slice(slice: &[T]) -> ModelRc<T>where T: Clone,

Allocate a new model from a slice

pub fn push(&self, value: T)

Add a row at the end of the model

pub fn insert(&self, index: usize, value: T)

Inserts a row at position index. All rows after that are shifted. This function panics if index is > row_count().

pub fn remove(&self, index: usize) -> T

Remove the row at the given index from the model

Returns the removed row

pub fn set_vec(&self, new: impl Into<Vec<T, Global>>)

Replace inner Vec with new data

pub fn extend<I>(&self, iter: I)where I: IntoIterator<Item = T>,

Extend the model with the content of the iterator

Similar to Vec::extend

impl<T> VecModel<T>where T: Clone + 'static,

pub fn extend_from_slice(&self, src: &[T])

Appends all the elements in the slice to the model

Similar to Vec::extend_from_slice

Trait Implementations

impl<T> Default for VecModel<T>where T: Default,

fn default() -> VecModel<T>

Returns the “default value” for a type.

impl<T> From<Vec<T, Global>> for VecModel<T>

fn from(array: Vec<T, Global>) -> VecModel<T>

Converts to this type from the input type.

impl<T> Model for VecModel<T>where T: Clone + 'static,

type Data = T

The model data: A model is a set of row and each row has this data

fn row_count(&self) -> usize

The amount of row in the model

fn row_data(&self, row: usize) -> Option<<VecModel<T> as Model>::Data>

Returns the data for a particular row. This function should be called with row < row_count().

fn set_row_data(&self, row: usize, data: <VecModel<T> as Model>::Data)

Sets the data for a particular row.

fn model_tracker(&self) -> &dyn ModelTracker

The implementation should return a reference to its ModelNotify field.

fn as_any(&self) -> &(dyn Any + 'static)

Return something that can be downcast’ed (typically self)

fn iter(&self) -> ModelIterator<'_, Self::Data> where Self: Sized,

Returns an iterator visiting all elements of the model.