strange-loop 0.3.0

Hyper-optimized strange loops with temporal consciousness and quantum-classical hybrid computing. NPX: npx strange-loops
Documentation 
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//! Custom Vector3D implementation for strange-loop examples

use serde::{Deserialize, Serialize};
use std::ops::{Add, AddAssign, Index, IndexMut, Mul, Sub};

/// Simple 3D vector for examples that don't require heavy math
#[derive(Debug, Clone, Copy, PartialEq, Serialize, Deserialize)]
pub struct Vector3D {
    pub x: f64,
    pub y: f64,
    pub z: f64,
}

impl Vector3D {
    pub fn new(x: f64, y: f64, z: f64) -> Self {
        Self { x, y, z }
    }

    pub fn zero() -> Self {
        Self { x: 0.0, y: 0.0, z: 0.0 }
    }

    pub fn distance(&self, other: &Vector3D) -> f64 {
        ((self.x - other.x).powi(2) +
         (self.y - other.y).powi(2) +
         (self.z - other.z).powi(2)).sqrt()
    }

    pub fn magnitude(&self) -> f64 {
        (self.x * self.x + self.y * self.y + self.z * self.z).sqrt()
    }

    pub fn norm(&self) -> f64 {
        self.magnitude()
    }

    pub fn zeros() -> Self {
        Self { x: 0.0, y: 0.0, z: 0.0 }
    }

    pub fn dot(&self, other: &Vector3D) -> f64 {
        self.x * other.x + self.y * other.y + self.z * other.z
    }

    pub fn iter(&self) -> impl Iterator<Item = f64> {
        [self.x, self.y, self.z].into_iter()
    }
}

impl std::ops::Add for Vector3D {
    type Output = Vector3D;

    fn add(self, other: Vector3D) -> Vector3D {
        Vector3D {
            x: self.x + other.x,
            y: self.y + other.y,
            z: self.z + other.z,
        }
    }
}

impl std::ops::Sub for Vector3D {
    type Output = Vector3D;

    fn sub(self, other: Vector3D) -> Vector3D {
        Vector3D {
            x: self.x - other.x,
            y: self.y - other.y,
            z: self.z - other.z,
        }
    }
}

impl std::ops::Mul<f64> for Vector3D {
    type Output = Vector3D;

    fn mul(self, scalar: f64) -> Vector3D {
        Vector3D {
            x: self.x * scalar,
            y: self.y * scalar,
            z: self.z * scalar,
        }
    }
}

impl std::ops::Mul<Vector3D> for f64 {
    type Output = Vector3D;

    fn mul(self, vector: Vector3D) -> Vector3D {
        Vector3D {
            x: self * vector.x,
            y: self * vector.y,
            z: self * vector.z,
        }
    }
}

impl std::ops::Neg for Vector3D {
    type Output = Vector3D;

    fn neg(self) -> Vector3D {
        Vector3D {
            x: -self.x,
            y: -self.y,
            z: -self.z,
        }
    }
}

impl std::ops::Div<f64> for Vector3D {
    type Output = Vector3D;

    fn div(self, scalar: f64) -> Vector3D {
        Vector3D {
            x: self.x / scalar,
            y: self.y / scalar,
            z: self.z / scalar,
        }
    }
}

impl Index<usize> for Vector3D {
    type Output = f64;

    fn index(&self, index: usize) -> &Self::Output {
        match index {
            0 => &self.x,
            1 => &self.y,
            2 => &self.z,
            _ => panic!("Vector3D index out of bounds: {}", index),
        }
    }
}

impl IndexMut<usize> for Vector3D {
    fn index_mut(&mut self, index: usize) -> &mut Self::Output {
        match index {
            0 => &mut self.x,
            1 => &mut self.y,
            2 => &mut self.z,
            _ => panic!("Vector3D index out of bounds: {}", index),
        }
    }
}

impl AddAssign for Vector3D {
    fn add_assign(&mut self, other: Vector3D) {
        self.x += other.x;
        self.y += other.y;
        self.z += other.z;
    }
}