Download loda-rust/rust_project/loda-rust-cli/src/arc/convolution2x2.rs from Alignment-Lab-AI/ARC-stuff: direct link, hf CLI and curl.
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curl -L -o convolution2x2.rs https://huggingface.co/datasets/Alignment-Lab-AI/ARC-stuff/resolve/main/loda-rust/rust_project/loda-rust-cli/src/arc/convolution2x2.rs
4.15 kB
| use anyhow::Context; | |
| use super::Image; | |
| pub fn convolution2x2<F>(bitmap: &Image, callback: F) -> anyhow::Result<Image> | |
| where F: Fn(&Image) -> anyhow::Result<u8> | |
| { | |
| let width: u8 = bitmap.width(); | |
| let height: u8 = bitmap.height(); | |
| if width < 2 || height < 2 { | |
| return Err(anyhow::anyhow!("too small bitmap, must be 2x2 or bigger")); | |
| } | |
| let mut computed_bitmap = Image::zero(width - 1, height - 1); | |
| let mut conv_bitmap = Image::zero(2, 2); | |
| for self_y in 0..height-1 { | |
| for self_x in 0..width-1 { | |
| for conv_y in 0..2u8 { | |
| for conv_x in 0..2u8 { | |
| let get_x: i32 = (self_x as i32) + (conv_x as i32); | |
| let get_y: i32 = (self_y as i32) + (conv_y as i32); | |
| let pixel_value: u8 = bitmap.get(get_x, get_y) | |
| .ok_or_else(|| anyhow::anyhow!("self.get({},{}) returned None", get_x, get_y))?; | |
| conv_bitmap.set(conv_x as i32, conv_y as i32, pixel_value) | |
| .ok_or_else(|| anyhow::anyhow!("conv_bitmap.set({},{}) returned None", conv_x, conv_y))?; | |
| } | |
| } | |
| let computed_value: u8 = callback(&conv_bitmap) | |
| .with_context(|| format!("error in callback when computing ({},{})", self_x, self_y))?; | |
| computed_bitmap.set(self_x as i32, self_y as i32, computed_value) | |
| .ok_or_else(|| anyhow::anyhow!("computed_bitmap.set({},{}) returned None", self_x, self_y))?; | |
| } | |
| } | |
| Ok(computed_bitmap) | |
| } | |
| fn conv2x2_max(bm: &Image) -> anyhow::Result<u8> { | |
| let mut value: u8 = 0; | |
| for pixel in bm.pixels() { | |
| value = u8::max(value, *pixel); | |
| } | |
| Ok(value) | |
| } | |
| fn conv2x2_min(bm: &Image) -> anyhow::Result<u8> { | |
| let mut value: u8 = 255; | |
| for pixel in bm.pixels() { | |
| value = u8::min(value, *pixel); | |
| } | |
| Ok(value) | |
| } | |
| mod tests { | |
| use super::*; | |
| use crate::arc::ImageTryCreate; | |
| fn test_10000_callback() { | |
| // Arrange | |
| let pixels: Vec<u8> = vec![ | |
| 1, 2, 3, | |
| 4, 5, 6, | |
| 7, 8, 9, | |
| ]; | |
| let input: Image = Image::try_create(3, 3, pixels).expect("image"); | |
| // Act | |
| let output: Image = convolution2x2(&input, |bm| { | |
| let mut sum: u64 = 0; | |
| for pixel in bm.pixels() { | |
| sum += *pixel as u64; | |
| } | |
| let value = (sum & 255) as u8; | |
| Ok(value) | |
| }).expect("image"); | |
| // Assert | |
| assert_eq!(output.width(), 2); | |
| assert_eq!(output.height(), 2); | |
| assert_eq!(output.get(0, 0), Some(1+2+4+5)); | |
| assert_eq!(output.get(1, 0), Some(2+3+5+6)); | |
| assert_eq!(output.get(0, 1), Some(4+5+7+8)); | |
| assert_eq!(output.get(1, 1), Some(5+6+8+9)); | |
| } | |
| fn test_20000_max() { | |
| // Arrange | |
| let pixels: Vec<u8> = vec![ | |
| 1,2,3,4, | |
| 5,6,7,8, | |
| 9,10,11,12, | |
| 13,14,15,16, | |
| ]; | |
| let input: Image = Image::try_create(4, 4, pixels).expect("image"); | |
| // Act | |
| let output: Image = convolution2x2(&input, conv2x2_max).expect("image"); | |
| // Assert | |
| let expected_pixels: Vec<u8> = vec![ | |
| 6,7,8, | |
| 10,11,12, | |
| 14,15,16, | |
| ]; | |
| let expected: Image = Image::try_create(3, 3, expected_pixels).expect("image"); | |
| assert_eq!(output, expected); | |
| } | |
| fn test_20001_min() { | |
| // Arrange | |
| let pixels: Vec<u8> = vec![ | |
| 1,2,3,4, | |
| 5,6,7,8, | |
| 9,10,11,12, | |
| 13,14,15,16, | |
| ]; | |
| let input: Image = Image::try_create(4, 4, pixels).expect("image"); | |
| // Act | |
| let output: Image = convolution2x2(&input, conv2x2_min).expect("image"); | |
| // Assert | |
| let expected_pixels: Vec<u8> = vec![ | |
| 1,2,3, | |
| 5,6,7, | |
| 9,10,11, | |
| ]; | |
| let expected: Image = Image::try_create(3, 3, expected_pixels).expect("image"); | |
| assert_eq!(output, expected); | |
| } | |
| } | |