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