micro cleanups

This commit is contained in:
Simon Gardling
2022-05-20 14:17:30 -04:00
parent 685ff25631
commit 4b0e758d33
4 changed files with 74 additions and 97 deletions

View File

@@ -17,9 +17,6 @@ use std::{
};
use unzip_n::unzip_n;
#[cfg(threading)]
use rayon::iter::ParallelIterator;
/// Represents the possible variations of Riemann Sums
#[derive(PartialEq, Debug, Copy, Clone)]
pub enum Riemann {
@@ -195,6 +192,7 @@ impl FunctionEntry {
}
}
/*
/// Get function that can be used to calculate integral based on Riemann Sum type
fn get_sum_func(&self, sum: Riemann) -> FunctionHelper {
match sum {
@@ -209,19 +207,20 @@ impl FunctionEntry {
}),
}
}
*/
/// Creates and does the math for creating all the rectangles under the graph
fn integral_rectangles(
&self, integral_min_x: &f64, integral_max_x: &f64, sum: &Riemann, integral_num: &usize,
&self, integral_min_x: f64, integral_max_x: f64, sum: Riemann, integral_num: usize,
) -> (Vec<(f64, f64)>, f64) {
let step = (integral_max_x - integral_min_x) / (*integral_num as f64);
let step = (integral_max_x - integral_min_x) / (integral_num as f64);
let sum_func = self.get_sum_func(*sum);
// let sum_func = self.get_sum_func(sum);
let data2: Vec<(f64, f64)> = step_helper(*integral_num, integral_min_x, &step)
let data2: Vec<(f64, f64)> = step_helper(integral_num, integral_min_x, step)
.into_iter()
.map(|x| {
let step_offset = step * x.signum(); // store the offset here so it doesn't have to be calculated multiple times
let step_offset = step.copysign(x); // store the offset here so it doesn't have to be calculated multiple times
let x2: f64 = x + step_offset;
let (left_x, right_x) = match x.is_sign_positive() {
@@ -229,21 +228,27 @@ impl FunctionEntry {
false => (x2, x),
};
let y = sum_func.get(left_x, right_x);
let y = match sum {
Riemann::Left => self.function.get(left_x),
Riemann::Right => self.function.get(right_x),
Riemann::Middle => {
(self.function.get(left_x) + self.function.get(right_x)) / 2.0
}
};
(x + (step_offset / 2.0), y)
})
.filter(|(_, y)| y.is_finite())
.collect();
let area = data2.iter().map(|(_, y)| y * step).sum();
let area = data2.iter().map(move |(_, y)| y * step).sum();
(data2, area)
}
/// Helps with processing newton's method depending on level of derivative
fn newtons_method_helper(
&self, threshold: &f64, derivative_level: usize, range: &std::ops::Range<f64>,
&self, threshold: f64, derivative_level: usize, range: &std::ops::Range<f64>,
) -> Vec<Value> {
let newtons_method_output: Vec<f64> = match derivative_level {
0 => newtons_method_helper(
@@ -279,7 +284,7 @@ impl FunctionEntry {
let resolution = (settings.max_x - settings.min_x) / (settings.plot_width as f64);
debug_assert!(resolution > 0.0);
let resolution_iter = step_helper(&settings.plot_width + 1, &settings.min_x, &resolution);
let resolution_iter = step_helper(settings.plot_width + 1, settings.min_x, resolution);
unsafe { assume(!resolution_iter.is_empty()) }
@@ -308,9 +313,11 @@ impl FunctionEntry {
Vec<Value>,
Vec<Option<Value>>,
Vec<Option<Value>>,
) = dyn_iter(&resolution_iter)
) = resolution_iter
.clone()
.into_iter()
.map(|x| {
if let Some(i) = x_data.get_index(*x) {
if let Some(i) = x_data.get_index(x) {
(
self.back_data[i],
derivative_required.then(|| self.derivative_data[i]),
@@ -320,11 +327,11 @@ impl FunctionEntry {
)
} else {
(
Value::new(*x, self.function.get(*x)),
Value::new(x, self.function.get(x)),
derivative_required
.then(|| Value::new(*x, self.function.get_derivative_1(*x))),
.then(|| Value::new(x, self.function.get_derivative_1(x))),
do_nth_derivative.then(|| {
Value::new(*x, self.function.get_nth_derivative(self.curr_nth, *x))
Value::new(x, self.function.get_nth_derivative(self.curr_nth, x))
}),
)
}
@@ -376,8 +383,10 @@ impl FunctionEntry {
if !partial_regen {
if self.back_data.is_empty() {
let data: Vec<Value> = dyn_iter(&resolution_iter)
.map(|x| Value::new(*x, self.function.get(*x)))
let data: Vec<Value> = resolution_iter
.clone()
.into_iter()
.map(|x| Value::new(x, self.function.get(x)))
.collect();
debug_assert_eq!(data.len(), settings.plot_width + 1);
@@ -385,16 +394,19 @@ impl FunctionEntry {
}
if derivative_required && self.derivative_data.is_empty() {
let data: Vec<Value> = dyn_iter(&resolution_iter)
.map(|x| Value::new(*x, self.function.get_derivative_1(*x)))
let data: Vec<Value> = resolution_iter
.clone()
.into_iter()
.map(|x| Value::new(x, self.function.get_derivative_1(x)))
.collect();
debug_assert_eq!(data.len(), settings.plot_width + 1);
self.derivative_data = data;
}
if self.nth_derviative && self.nth_derivative_data.is_none() {
let data: Vec<Value> = dyn_iter(&resolution_iter)
.map(|x| Value::new(*x, self.function.get_nth_derivative(self.curr_nth, *x)))
let data: Vec<Value> = resolution_iter
.into_iter()
.map(|x| Value::new(x, self.function.get_nth_derivative(self.curr_nth, x)))
.collect();
debug_assert_eq!(data.len(), settings.plot_width + 1);
self.nth_derivative_data = Some(data);
@@ -404,10 +416,10 @@ impl FunctionEntry {
if self.integral {
if self.integral_data.is_none() {
let (data, area) = self.integral_rectangles(
&settings.integral_min_x,
&settings.integral_max_x,
&settings.riemann_sum,
&settings.integral_num,
settings.integral_min_x,
settings.integral_max_x,
settings.riemann_sum,
settings.integral_num,
);
self.integral_data = Some((
@@ -424,12 +436,12 @@ impl FunctionEntry {
// Calculates extrema
if settings.do_extrema && (min_max_changed | self.extrema_data.is_empty()) {
self.extrema_data = self.newtons_method_helper(&threshold, 1, &x_range);
self.extrema_data = self.newtons_method_helper(threshold, 1, &x_range);
}
// Calculates roots
if settings.do_roots && (min_max_changed | self.root_data.is_empty()) {
self.root_data = self.newtons_method_helper(&threshold, 0, &x_range);
self.root_data = self.newtons_method_helper(threshold, 0, &x_range);
}
}