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-rw-r--r--vendor/exr/src/image/crop.rs801
1 files changed, 801 insertions, 0 deletions
diff --git a/vendor/exr/src/image/crop.rs b/vendor/exr/src/image/crop.rs
new file mode 100644
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+++ b/vendor/exr/src/image/crop.rs
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+//! Crop away unwanted pixels. Includes automatic detection of bounding rectangle.
+//! Currently does not support deep data and resolution levels.
+
+use crate::meta::attribute::{IntegerBounds, LevelMode, ChannelList};
+use crate::math::{Vec2, RoundingMode};
+use crate::image::{Layer, FlatSamples, SpecificChannels, AnyChannels, FlatSamplesPixel, AnyChannel};
+use crate::image::write::channels::{GetPixel, WritableChannels, ChannelsWriter};
+use crate::meta::header::{LayerAttributes, Header};
+use crate::block::BlockIndex;
+
+/// Something that has a two-dimensional rectangular shape
+pub trait GetBounds {
+
+ /// The bounding rectangle of this pixel grid.
+ fn bounds(&self) -> IntegerBounds;
+}
+
+/// Inspect the pixels in this image to determine where to crop some away
+pub trait InspectSample: GetBounds {
+
+ /// The type of pixel in this pixel grid.
+ type Sample;
+
+ /// Index is not in world coordinates, but within the data window.
+ /// Position `(0,0)` always represents the top left pixel.
+ fn inspect_sample(&self, local_index: Vec2<usize>) -> Self::Sample;
+}
+
+/// Crop some pixels ways when specifying a smaller rectangle
+pub trait Crop: Sized {
+
+ /// The type of this image after cropping (probably the same as before)
+ type Cropped;
+
+ /// Crop the image to exclude unwanted pixels.
+ /// Panics for invalid (larger than previously) bounds.
+ /// The bounds are specified in absolute coordinates.
+ /// Does not reduce allocation size of the current image, but instead only adjust a few boundary numbers.
+ /// Use `reallocate_cropped()` on the return value to actually reduce the memory footprint.
+ fn crop(self, bounds: IntegerBounds) -> Self::Cropped;
+
+ /// Reduce your image to a smaller part, usually to save memory.
+ /// Crop if bounds are specified, return the original if no bounds are specified.
+ /// Does not reduce allocation size of the current image, but instead only adjust a few boundary numbers.
+ /// Use `reallocate_cropped()` on the return value to actually reduce the memory footprint.
+ fn try_crop(self, bounds: Option<IntegerBounds>) -> CropResult<Self::Cropped, Self> {
+ match bounds {
+ Some(bounds) => CropResult::Cropped(self.crop(bounds)),
+ None => CropResult::Empty { original: self },
+ }
+ }
+}
+
+/// Cropping an image fails if the image is fully transparent.
+/// Use [`or_crop_to_1x1_if_empty`] or [`or_none_if_empty`] to obtain a normal image again.
+#[must_use]
+#[derive(Debug, Clone, Copy, Eq, PartialEq)]
+pub enum CropResult<Cropped, Old> {
+
+ /// The image contained some pixels and has been cropped or left untouched
+ Cropped (Cropped),
+
+ /// All pixels in the image would be discarded, removing the whole image
+ Empty {
+
+ /// The fully discarded image which caused the cropping to fail
+ original: Old
+ }
+}
+
+/// Crop away unwanted pixels from the border if they match the specified rule.
+pub trait CropWhere<Sample>: Sized {
+
+ /// The type of the cropped image (probably the same as the original image).
+ type Cropped;
+
+ /// Crop away unwanted pixels from the border if they match the specified rule.
+ /// Does not reduce allocation size of the current image, but instead only adjust a few boundary numbers.
+ /// Use `reallocate_cropped()` on the return value to actually reduce the memory footprint.
+ fn crop_where(self, discard_if: impl Fn(Sample) -> bool) -> CropResult<Self::Cropped, Self>;
+
+ /// Crop away unwanted pixels from the border if they match the specified color.
+ /// If you want discard based on a rule, use `crop_where` with a closure instead.
+ /// Does not reduce allocation size of the current image, but instead only adjust a few boundary numbers.
+ /// Use `reallocate_cropped()` on the return value to actually reduce the memory footprint.
+ fn crop_where_eq(self, discard_color: impl Into<Sample>) -> CropResult<Self::Cropped, Self> where Sample: PartialEq;
+
+ /// Convert this data to cropped data without discarding any pixels.
+ fn crop_nowhere(self) -> Self::Cropped;
+}
+
+impl<Channels> Crop for Layer<Channels> {
+ type Cropped = Layer<CroppedChannels<Channels>>;
+
+ fn crop(self, bounds: IntegerBounds) -> Self::Cropped {
+ CroppedChannels::crop_layer(bounds, self)
+ }
+}
+
+impl<T> CropWhere<T::Sample> for T where T: Crop + InspectSample {
+ type Cropped = <Self as Crop>::Cropped;
+
+ fn crop_where(self, discard_if: impl Fn(T::Sample) -> bool) -> CropResult<Self::Cropped, Self> {
+ let smaller_bounds = {
+ let keep_if = |position| !discard_if(self.inspect_sample(position));
+ try_find_smaller_bounds(self.bounds(), keep_if)
+ };
+
+ self.try_crop(smaller_bounds)
+ }
+
+ fn crop_where_eq(self, discard_color: impl Into<T::Sample>) -> CropResult<Self::Cropped, Self> where T::Sample: PartialEq {
+ let discard_color: T::Sample = discard_color.into();
+ self.crop_where(|sample| sample == discard_color)
+ }
+
+ fn crop_nowhere(self) -> Self::Cropped {
+ let current_bounds = self.bounds();
+ self.crop(current_bounds)
+ }
+}
+
+/// A smaller window into an existing pixel storage
+#[derive(Debug, Clone, Eq, PartialEq)]
+pub struct CroppedChannels<Channels> {
+
+ /// The uncropped pixel storage
+ pub full_channels: Channels,
+
+ /// The uncropped pixel storage bounds
+ pub full_bounds: IntegerBounds,
+
+ /// The cropped pixel storage bounds
+ pub cropped_bounds: IntegerBounds,
+}
+
+impl<Channels> CroppedChannels<Channels> {
+
+ /// Wrap a layer in a cropped view with adjusted bounds, but without reallocating your pixels
+ pub fn crop_layer(new_bounds: IntegerBounds, layer: Layer<Channels>) -> Layer<CroppedChannels<Channels>> {
+ Layer {
+ channel_data: CroppedChannels {
+ cropped_bounds: new_bounds,
+ full_bounds: layer.absolute_bounds(),
+ full_channels: layer.channel_data,
+ },
+
+ size: new_bounds.size,
+
+ attributes: LayerAttributes {
+ layer_position: new_bounds.position,
+ .. layer.attributes
+ },
+
+ encoding: layer.encoding
+ }
+ }
+}
+
+// TODO make cropped view readable if you only need a specific section of the image?
+
+// make cropped view writable:
+
+impl<'slf, Channels:'slf> WritableChannels<'slf> for CroppedChannels<Channels> where Channels: WritableChannels<'slf> {
+ fn infer_channel_list(&self) -> ChannelList {
+ self.full_channels.infer_channel_list() // no need for adjustments, as the layer content already reflects the changes
+ }
+
+ fn infer_level_modes(&self) -> (LevelMode, RoundingMode) {
+ self.full_channels.infer_level_modes()
+ }
+
+ type Writer = CroppedWriter<Channels::Writer>;
+
+ fn create_writer(&'slf self, header: &Header) -> Self::Writer {
+ let offset = (self.cropped_bounds.position - self.full_bounds.position)
+ .to_usize("invalid cropping bounds for cropped view").unwrap();
+
+ CroppedWriter { channels: self.full_channels.create_writer(header), offset }
+ }
+}
+
+/// A writer for the cropped view layer
+#[derive(Debug, Clone, PartialEq)]
+pub struct CroppedWriter<ChannelsWriter> {
+ channels: ChannelsWriter,
+ offset: Vec2<usize>
+}
+
+impl<'c, Channels> ChannelsWriter for CroppedWriter<Channels> where Channels: ChannelsWriter {
+ fn extract_uncompressed_block(&self, header: &Header, block: BlockIndex) -> Vec<u8> {
+ let block = BlockIndex {
+ pixel_position: block.pixel_position + self.offset,
+ .. block
+ };
+
+ self.channels.extract_uncompressed_block(header, block)
+ }
+}
+
+impl<Samples, Channels> InspectSample for Layer<SpecificChannels<Samples, Channels>> where Samples: GetPixel {
+ type Sample = Samples::Pixel;
+ fn inspect_sample(&self, local_index: Vec2<usize>) -> Samples::Pixel {
+ self.channel_data.pixels.get_pixel(local_index)
+ }
+}
+
+impl InspectSample for Layer<AnyChannels<FlatSamples>> {
+ type Sample = FlatSamplesPixel;
+
+ fn inspect_sample(&self, local_index: Vec2<usize>) -> FlatSamplesPixel {
+ self.sample_vec_at(local_index)
+ }
+}
+
+// ALGORITHM IDEA: for arbitrary channels, find the most desired channel,
+// and process that first, keeping the processed bounds as starting point for the other layers
+
+/// Realize a cropped view of the original data,
+/// by actually removing the unwanted original pixels,
+/// reducing the memory consumption.
+/// Currently not supported for `SpecificChannels`.
+pub trait ApplyCroppedView {
+
+ /// The simpler type after cropping is realized
+ type Reallocated;
+
+ /// Make the cropping real by reallocating the underlying storage,
+ /// with the goal of reducing total memory usage.
+ /// Currently not supported for `SpecificChannels`.
+ fn reallocate_cropped(self) -> Self::Reallocated;
+}
+
+impl ApplyCroppedView for Layer<CroppedChannels<AnyChannels<FlatSamples>>> {
+ type Reallocated = Layer<AnyChannels<FlatSamples>>;
+
+ fn reallocate_cropped(self) -> Self::Reallocated {
+ let cropped_absolute_bounds = self.channel_data.cropped_bounds;
+ let cropped_relative_bounds = cropped_absolute_bounds.with_origin(-self.channel_data.full_bounds.position);
+
+ assert!(self.absolute_bounds().contains(cropped_absolute_bounds), "bounds not valid for layer dimensions");
+ assert!(cropped_relative_bounds.size.area() > 0, "the cropped image would be empty");
+
+ Layer {
+ channel_data: if cropped_relative_bounds.size == self.channel_data.full_bounds.size {
+ assert_eq!(cropped_absolute_bounds.position, self.channel_data.full_bounds.position, "crop bounds size equals, but position does not");
+
+ // the cropping would not remove any pixels
+ self.channel_data.full_channels
+ }
+ else {
+ let start_x = cropped_relative_bounds.position.x() as usize; // safe, because just checked above
+ let start_y = cropped_relative_bounds.position.y() as usize; // safe, because just checked above
+ let x_range = start_x .. start_x + cropped_relative_bounds.size.width();
+ let old_width = self.channel_data.full_bounds.size.width();
+ let new_height = cropped_relative_bounds.size.height();
+
+ let channels = self.channel_data.full_channels.list.into_iter().map(|channel: AnyChannel<FlatSamples>| {
+ fn crop_samples<T:Copy>(samples: Vec<T>, old_width: usize, new_height: usize, x_range: std::ops::Range<usize>, y_start: usize) -> Vec<T> {
+ let filtered_lines = samples.chunks_exact(old_width).skip(y_start).take(new_height);
+ let trimmed_lines = filtered_lines.map(|line| &line[x_range.clone()]);
+ trimmed_lines.flatten().map(|x|*x).collect() // TODO does this use memcpy?
+ }
+
+ let samples = match channel.sample_data {
+ FlatSamples::F16(samples) => FlatSamples::F16(crop_samples(
+ samples, old_width, new_height, x_range.clone(), start_y
+ )),
+
+ FlatSamples::F32(samples) => FlatSamples::F32(crop_samples(
+ samples, old_width, new_height, x_range.clone(), start_y
+ )),
+
+ FlatSamples::U32(samples) => FlatSamples::U32(crop_samples(
+ samples, old_width, new_height, x_range.clone(), start_y
+ )),
+ };
+
+ AnyChannel { sample_data: samples, ..channel }
+ }).collect();
+
+ AnyChannels { list: channels }
+ },
+
+ attributes: self.attributes,
+ encoding: self.encoding,
+ size: self.size,
+ }
+ }
+}
+
+
+
+/// Return the smallest bounding rectangle including all pixels that satisfy the predicate.
+/// Worst case: Fully transparent image, visits each pixel once.
+/// Best case: Fully opaque image, visits two pixels.
+/// Returns `None` if the image is fully transparent.
+/// Returns `[(0,0), size]` if the image is fully opaque.
+/// Designed to be cache-friendly linear search. Optimized for row-major image vectors.
+pub fn try_find_smaller_bounds(current_bounds: IntegerBounds, pixel_at: impl Fn(Vec2<usize>) -> bool) -> Option<IntegerBounds> {
+ assert_ne!(current_bounds.size.area(), 0, "cannot find smaller bounds of an image with zero width or height");
+ let Vec2(width, height) = current_bounds.size;
+
+ // scans top to bottom (left to right)
+ let first_top_left_pixel = (0 .. height)
+ .flat_map(|y| (0 .. width).map(move |x| Vec2(x,y)))
+ .find(|&position| pixel_at(position))?; // return none if no pixel should be kept
+
+ // scans bottom to top (right to left)
+ let first_bottom_right_pixel = (first_top_left_pixel.y() + 1 .. height) // excluding the top line
+ .flat_map(|y| (0 .. width).map(move |x| Vec2(x, y))) // x search cannot start at first_top.x, because this must catch all bottom pixels
+ .rev().find(|&position| pixel_at(position))
+ .unwrap_or(first_top_left_pixel); // did not find any at bottom, but we know top has some pixel
+
+ // now we know exactly how much we can throw away top and bottom,
+ // but we don't know exactly about left or right
+ let top = first_top_left_pixel.y();
+ let bottom = first_bottom_right_pixel.y();
+
+ // we only now some arbitrary left and right bounds which we need to refine.
+ // because the actual image contents might be wider than the corner points.
+ // we know that we do not need to look in the center between min x and max x,
+ // as these must be included in any case.
+ let mut min_left_x = first_top_left_pixel.x().min(first_bottom_right_pixel.x());
+ let mut max_right_x = first_bottom_right_pixel.x().max(first_top_left_pixel.x());
+
+ // requires for loop, because bounds change while searching
+ for y in top ..= bottom {
+
+ // escape the loop if there is nothing left to crop
+ if min_left_x == 0 && max_right_x == width - 1 { break; }
+
+ // search from right image edge towards image center, until known max x, for existing pixels,
+ // possibly including some pixels that would have been cropped otherwise
+ if max_right_x != width - 1 {
+ max_right_x = (max_right_x + 1 .. width).rev() // excluding current max
+ .find(|&x| pixel_at(Vec2(x, y)))
+ .unwrap_or(max_right_x);
+ }
+
+ // search from left image edge towards image center, until known min x, for existing pixels,
+ // possibly including some pixels that would have been cropped otherwise
+ if min_left_x != 0 {
+ min_left_x = (0 .. min_left_x) // excluding current min
+ .find(|&x| pixel_at(Vec2(x, y)))
+ .unwrap_or(min_left_x);
+ }
+ }
+
+ // TODO add 1px margin to avoid interpolation issues?
+ let local_start = Vec2(min_left_x, top);
+ let local_end = Vec2(max_right_x + 1, bottom + 1);
+ Some(IntegerBounds::new(
+ current_bounds.position + local_start.to_i32(),
+ local_end - local_start
+ ))
+}
+
+impl<S> GetBounds for Layer<S> {
+ fn bounds(&self) -> IntegerBounds {
+ self.absolute_bounds()
+ }
+}
+
+impl<Cropped, Original> CropResult<Cropped, Original> {
+
+ /// If the image was fully empty, return `None`, otherwise return `Some(cropped_image)`.
+ pub fn or_none_if_empty(self) -> Option<Cropped> {
+ match self {
+ CropResult::Cropped (cropped) => Some(cropped),
+ CropResult::Empty { .. } => None,
+ }
+ }
+
+ /// If the image was fully empty, crop to one single pixel of all the transparent pixels instead,
+ /// leaving the layer intact while reducing memory usage.
+ pub fn or_crop_to_1x1_if_empty(self) -> Cropped where Original: Crop<Cropped=Cropped> + GetBounds {
+ match self {
+ CropResult::Cropped (cropped) => cropped,
+ CropResult::Empty { original } => {
+ let bounds = original.bounds();
+ if bounds.size == Vec2(0,0) { panic!("layer has width and height of zero") }
+ original.crop(IntegerBounds::new(bounds.position, Vec2(1,1)))
+ },
+ }
+ }
+}
+
+
+
+#[cfg(test)]
+mod test {
+ use super::*;
+
+ #[test]
+ fn find_bounds() {
+ fn find_bounds(offset: Vec2<i32>, lines: &Vec<Vec<i32>>) -> IntegerBounds {
+ if let Some(first_line) = lines.first() {
+ assert!(lines.iter().all(|line| line.len() == first_line.len()), "invalid test input");
+ IntegerBounds::new(offset, (first_line.len(), lines.len()))
+ }
+ else {
+ IntegerBounds::new(offset, (0,0))
+ }
+ }
+
+ fn assert_found_smaller_bounds(offset: Vec2<i32>, uncropped_lines: Vec<Vec<i32>>, expected_cropped_lines: Vec<Vec<i32>>) {
+ let old_bounds = find_bounds(offset, &uncropped_lines);
+
+ let found_bounds = try_find_smaller_bounds(
+ old_bounds,
+ |position| uncropped_lines[position.y()][position.x()] != 0
+ ).unwrap();
+
+ let found_bounds = found_bounds.with_origin(-offset); // make indices local
+
+ let cropped_lines: Vec<Vec<i32>> =
+ uncropped_lines[found_bounds.position.y() as usize .. found_bounds.end().y() as usize]
+ .iter().map(|uncropped_line|{
+ uncropped_line[found_bounds.position.x() as usize .. found_bounds.end().x() as usize].to_vec()
+ }).collect();
+
+ assert_eq!(cropped_lines, expected_cropped_lines);
+ }
+
+ assert_found_smaller_bounds(
+ Vec2(-3,-3),
+
+ vec![
+ vec![ 2, 3, 4 ],
+ vec![ 2, 3, 4 ],
+ ],
+
+ vec![
+ vec![ 2, 3, 4 ],
+ vec![ 2, 3, 4 ],
+ ]
+ );
+
+ assert_found_smaller_bounds(
+ Vec2(-3,-3),
+
+ vec![
+ vec![ 2 ],
+ ],
+
+ vec![
+ vec![ 2 ],
+ ]
+ );
+
+ assert_found_smaller_bounds(
+ Vec2(-3,-3),
+
+ vec![
+ vec![ 0 ],
+ vec![ 2 ],
+ vec![ 0 ],
+ vec![ 0 ],
+ ],
+
+ vec![
+ vec![ 2 ],
+ ]
+ );
+
+ assert_found_smaller_bounds(
+ Vec2(-3,-3),
+
+ vec![
+ vec![ 0, 0, 0, 3, 0 ],
+ ],
+
+ vec![
+ vec![ 3 ],
+ ]
+ );
+
+ assert_found_smaller_bounds(
+ Vec2(3,3),
+
+ vec![
+ vec![ 0, 1, 1, 2, 1, 0 ],
+ vec![ 0, 1, 3, 1, 1, 0 ],
+ vec![ 0, 1, 1, 1, 1, 0 ],
+ ],
+
+ vec![
+ vec![ 1, 1, 2, 1 ],
+ vec![ 1, 3, 1, 1 ],
+ vec![ 1, 1, 1, 1 ],
+ ]
+ );
+
+ assert_found_smaller_bounds(
+ Vec2(3,3),
+
+ vec![
+ vec![ 0, 0, 0, 0 ],
+ vec![ 1, 1, 2, 1 ],
+ vec![ 1, 3, 1, 1 ],
+ vec![ 1, 1, 1, 1 ],
+ vec![ 0, 0, 0, 0 ],
+ ],
+
+ vec![
+ vec![ 1, 1, 2, 1 ],
+ vec![ 1, 3, 1, 1 ],
+ vec![ 1, 1, 1, 1 ],
+ ]
+ );
+
+ assert_found_smaller_bounds(
+ Vec2(3,3),
+
+ vec![
+ vec![ 0, 1, 1, 2, 1, 0 ],
+ vec![ 0, 0, 3, 1, 0, 0 ],
+ vec![ 0, 1, 1, 1, 1, 0 ],
+ ],
+
+ vec![
+ vec![ 1, 1, 2, 1 ],
+ vec![ 0, 3, 1, 0 ],
+ vec![ 1, 1, 1, 1 ],
+ ]
+ );
+
+ assert_found_smaller_bounds(
+ Vec2(3,3),
+
+ vec![
+ vec![ 0, 0, 1, 2, 0, 0 ],
+ vec![ 0, 1, 3, 1, 1, 0 ],
+ vec![ 0, 0, 1, 1, 0, 0 ],
+ ],
+
+ vec![
+ vec![ 0, 1, 2, 0 ],
+ vec![ 1, 3, 1, 1 ],
+ vec![ 0, 1, 1, 0 ],
+ ]
+ );
+
+ assert_found_smaller_bounds(
+ Vec2(1,3),
+
+ vec![
+ vec![ 1, 0, 0, 0, ],
+ vec![ 0, 0, 0, 0, ],
+ vec![ 0, 0, 0, 0, ],
+ ],
+
+ vec![
+ vec![ 1 ],
+ ]
+ );
+
+ assert_found_smaller_bounds(
+ Vec2(1,3),
+
+ vec![
+ vec![ 0, 0, 0, 0, ],
+ vec![ 0, 1, 0, 0, ],
+ vec![ 0, 0, 0, 0, ],
+ ],
+
+ vec![
+ vec![ 1 ],
+ ]
+ );
+
+ assert_found_smaller_bounds(
+ Vec2(-1,-3),
+
+ vec![
+ vec![ 0, 0, 0, 0, ],
+ vec![ 0, 0, 0, 1, ],
+ vec![ 0, 0, 0, 0, ],
+ ],
+
+ vec![
+ vec![ 1 ],
+ ]
+ );
+
+ assert_found_smaller_bounds(
+ Vec2(-1,-3),
+
+ vec![
+ vec![ 0, 0, 0, 0, 0, 0, 0 ],
+ vec![ 0, 0, 0, 0, 0, 0, 0 ],
+ vec![ 0, 0, 1, 1, 1, 0, 0 ],
+ vec![ 0, 0, 1, 1, 1, 0, 0 ],
+ vec![ 0, 0, 1, 1, 1, 0, 0 ],
+ vec![ 0, 0, 0, 0, 0, 0, 0 ],
+ vec![ 0, 0, 0, 0, 0, 0, 0 ],
+ ],
+
+ vec![
+ vec![ 1, 1, 1 ],
+ vec![ 1, 1, 1 ],
+ vec![ 1, 1, 1 ],
+ ]
+ );
+
+ assert_found_smaller_bounds(
+ Vec2(1000,-300),
+
+ vec![
+ vec![ 0, 0, 0, 0, 0, 0, 0 ],
+ vec![ 0, 0, 0, 0, 0, 0, 0 ],
+ vec![ 0, 0, 1, 1, 1, 0, 0 ],
+ vec![ 0, 1, 1, 1, 1, 1, 0 ],
+ vec![ 0, 0, 1, 1, 1, 0, 0 ],
+ vec![ 0, 0, 0, 0, 0, 0, 0 ],
+ vec![ 0, 0, 0, 0, 0, 0, 0 ],
+ ],
+
+ vec![
+ vec![ 0, 1, 1, 1, 0 ],
+ vec![ 1, 1, 1, 1, 1 ],
+ vec![ 0, 1, 1, 1, 0 ],
+ ]
+ );
+
+ assert_found_smaller_bounds(
+ Vec2(-10,-300),
+
+ vec![
+ vec![ 0, 0, 0, 0, 0, 0, 0 ],
+ vec![ 0, 0, 0, 0, 0, 0, 0 ],
+ vec![ 0, 0, 1, 0, 1, 0, 0 ],
+ vec![ 0, 0, 0, 0, 0, 0, 0 ],
+ vec![ 0, 0, 1, 0, 1, 0, 0 ],
+ vec![ 0, 0, 0, 0, 0, 0, 0 ],
+ vec![ 0, 0, 0, 0, 0, 0, 0 ],
+ ],
+
+ vec![
+ vec![ 1, 0, 1 ],
+ vec![ 0, 0, 0 ],
+ vec![ 1, 0, 1 ],
+ ]
+ );
+
+ assert_found_smaller_bounds(
+ Vec2(-10,-300),
+
+ vec![
+ vec![ 0, 0, 0, 0, 0, 0, 0 ],
+ vec![ 0, 0, 0, 0, 0, 0, 0 ],
+ vec![ 0, 0, 1, 0, 1, 0, 0 ],
+ vec![ 0, 0, 0, 0, 0, 0, 0 ],
+ vec![ 0, 0, 0, 0, 0, 0, 0 ],
+ vec![ 0, 0, 0, 0, 0, 0, 0 ],
+ vec![ 0, 0, 0, 0, 0, 0, 0 ],
+ ],
+
+ vec![
+ vec![ 1, 0, 1 ],
+ ]
+ );
+
+ assert_found_smaller_bounds(
+ Vec2(-10,-300),
+
+ vec![
+ vec![ 0, 0, 0, 0, 0, 0, 0 ],
+ vec![ 0, 0, 0, 1, 0, 0, 0 ],
+ vec![ 0, 0, 0, 2, 0, 0, 0 ],
+ vec![ 0, 0, 3, 3, 3, 0, 0 ],
+ vec![ 0, 0, 0, 4, 0, 0, 0 ],
+ vec![ 0, 0, 0, 0, 0, 0, 0 ],
+ ],
+
+ vec![
+ vec![ 0, 1, 0 ],
+ vec![ 0, 2, 0 ],
+ vec![ 3, 3, 3 ],
+ vec![ 0, 4, 0 ],
+ ]
+ );
+
+ assert_found_smaller_bounds(
+ Vec2(-10,-300),
+
+ vec![
+ vec![ 0, 0, 0, 0, 0, 0, 0 ],
+ vec![ 0, 0, 0, 0, 0, 0, 0 ],
+ vec![ 0, 0, 0, 0, 1, 0, 0 ],
+ vec![ 0, 0, 0, 0, 0, 0, 0 ],
+ vec![ 0, 0, 0, 0, 0, 0, 0 ],
+ vec![ 0, 0, 1, 0, 0, 0, 0 ],
+ vec![ 0, 0, 0, 0, 0, 0, 0 ],
+ ],
+
+ vec![
+ vec![ 0, 0, 1 ],
+ vec![ 0, 0, 0 ],
+ vec![ 0, 0, 0 ],
+ vec![ 1, 0, 0 ],
+ ]
+ );
+
+ assert_found_smaller_bounds(
+ Vec2(-10,-300),
+
+ vec![
+ vec![ 0, 0, 0, 0, 0, 0, 0 ],
+ vec![ 0, 0, 0, 0, 0, 0, 0 ],
+ vec![ 0, 0, 1, 0, 0, 0, 0 ],
+ vec![ 0, 0, 0, 0, 0, 0, 0 ],
+ vec![ 0, 0, 0, 0, 0, 1, 0 ],
+ vec![ 0, 0, 0, 0, 0, 0, 0 ],
+ vec![ 0, 0, 0, 0, 0, 0, 0 ],
+ ],
+
+ vec![
+ vec![ 1, 0, 0, 0 ],
+ vec![ 0, 0, 0, 0 ],
+ vec![ 0, 0, 0, 1 ],
+ ]
+ );
+
+ assert_found_smaller_bounds(
+ Vec2(-10,-300),
+
+ vec![
+ vec![ 0, 0, 0, 0, 0, 0, 0 ],
+ vec![ 0, 0, 0, 0, 0, 0, 0 ],
+ vec![ 0, 0, 1, 0, 0, 0, 0 ],
+ vec![ 0, 0, 0, 0, 0, 0, 0 ],
+ vec![ 0, 0, 0, 0, 0, 0, 0 ],
+ vec![ 0, 0, 1, 0, 0, 0, 0 ],
+ vec![ 0, 0, 0, 0, 0, 0, 0 ],
+ ],
+
+ vec![
+ vec![ 1 ],
+ vec![ 0 ],
+ vec![ 0 ],
+ vec![ 1 ],
+ ]
+ );
+
+
+ assert_found_smaller_bounds(
+ Vec2(-1,-3),
+
+ vec![
+ vec![ 0, 0, 1, 0, ],
+ vec![ 0, 0, 0, 1, ],
+ vec![ 0, 0, 0, 0, ],
+ ],
+
+ vec![
+ vec![ 1, 0, ],
+ vec![ 0, 1, ],
+ ]
+ );
+
+ assert_found_smaller_bounds(
+ Vec2(-1,-3),
+
+ vec![
+ vec![ 1, 0, 0, 0, ],
+ vec![ 0, 1, 0, 0, ],
+ vec![ 0, 0, 0, 0, ],
+ vec![ 0, 0, 0, 0, ],
+ ],
+
+ vec![
+ vec![ 1, 0, ],
+ vec![ 0, 1, ],
+ ]
+ );
+ }
+
+
+ #[test]
+ fn find_no_bounds() {
+ let pixels = vec![
+ vec![ 0, 0, 0, 0 ],
+ vec![ 0, 0, 0, 0 ],
+ vec![ 0, 0, 0, 0 ],
+ ];
+
+ let bounds = try_find_smaller_bounds(
+ IntegerBounds::new((0,0), (4,3)),
+ |position| pixels[position.y()][position.x()] != 0
+ );
+
+ assert_eq!(bounds, None)
+ }
+
+}
+
+
+
+
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