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refactor handling of {min,max}_x

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This commit is contained in:
Simon Gardling
2022-05-16 10:23:08 -04:00
parent 54c0703946
commit cfd245f82c
3 changed files with 35 additions and 28 deletions
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37
src/function_entry.rs
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@@ -41,10 +41,6 @@ pub struct FunctionEntry {
/// Stores a function string (that hasn't been processed via `process_func_str`) to display to the user
raw_func_str: String,
/// Minimum and Maximum values of what do display
min_x: f64,
max_x: f64,
/// If calculating/displayingintegrals are enabled
pub integral: bool,
@@ -127,8 +123,6 @@ impl FunctionEntry {
pub const EMPTY: FunctionEntry = FunctionEntry {
function: BackingFunction::EMPTY,
raw_func_str: String::new(),
min_x: -1.0,
max_x: 1.0,
integral: false,
derivative: false,
nth_derviative: false,
@@ -249,19 +243,20 @@ impl FunctionEntry {
}
/// Helps with processing newton's method depending on level of derivative
fn newtons_method_helper(&self, threshold: &f64, derivative_level: usize) -> Vec<Value> {
let range = self.min_x..self.max_x;
fn newtons_method_helper(
&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(
threshold,
&range,
range,
self.back_data.as_slice(),
&|x: f64| self.function.get(x),
&|x: f64| self.function.get_derivative_1(x),
),
1 => newtons_method_helper(
threshold,
&range,
range,
self.derivative_data.as_slice(),
&|x: f64| self.function.get_derivative_1(x),
&|x: f64| self.function.get_derivative_2(x),
@@ -276,7 +271,8 @@ impl FunctionEntry {
/// Does the calculations and stores results in `self`
pub fn calculate(
&mut self, min_x: &f64, max_x: &f64, width_changed: bool, settings: &AppSettings,
&mut self, min_x: &f64, max_x: &f64, width_changed: bool, min_max_changed: bool,
settings: &AppSettings,
) {
if self.test_result.is_some() {
return;
@@ -293,12 +289,8 @@ impl FunctionEntry {
}
let mut partial_regen = false;
let min_max_changed = (min_x != &self.min_x) | (max_x != &self.max_x);
let derivative_required = settings.do_extrema | self.derivative;
self.min_x = *min_x;
self.max_x = *max_x;
if width_changed {
self.invalidate_back();
self.invalidate_derivative();
@@ -425,15 +417,16 @@ impl FunctionEntry {
}
let threshold: f64 = resolution / 2.0;
let x_range = settings.min_x..settings.max_x;
// Calculates extrema
if settings.do_extrema && (min_max_changed | self.extrema_data.is_empty()) {
self.extrema_data = self.newtons_method_helper(&threshold, 1);
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);
self.root_data = self.newtons_method_helper(&threshold, 0, &x_range);
}
}
@@ -450,7 +443,7 @@ impl FunctionEntry {
let step = (settings.integral_min_x - settings.integral_max_x).abs()
/ (settings.integral_num as f64);
let resolution = (self.min_x - self.max_x).abs() / (settings.plot_width as f64);
let resolution = (settings.min_x - settings.max_x).abs() / (settings.plot_width as f64);
// Plot back data
if !self.back_data.is_empty() {
@@ -566,7 +559,7 @@ impl FunctionEntry {
derivative_target: Vec<(f64, f64)>, area_target: f64, min_x: f64, max_x: f64,
) {
{
self.calculate(&min_x, &max_x, true, &settings);
self.calculate(&min_x, &max_x, true, true, &settings);
assert!(!self.back_data.is_empty());
assert_eq!(self.back_data.len(), settings.plot_width + 1);
let back_vec_tuple = self.back_data.to_tuple();
@@ -586,7 +579,7 @@ impl FunctionEntry {
}
{
self.calculate(&(min_x + 1.0), &(max_x + 1.0), true, &settings);
self.calculate(&(min_x + 1.0), &(max_x + 1.0), true, true, &settings);
assert_eq!(
self.derivative_data
@@ -626,7 +619,7 @@ impl FunctionEntry {
}
{
self.calculate(&(min_x - 1.0), &(max_x - 1.0), true, &settings);
self.calculate(&(min_x - 1.0), &(max_x - 1.0), true, true, &settings);
assert_eq!(
self.derivative_data
@@ -682,7 +675,7 @@ impl FunctionEntry {
assert!(self.extrema_data.is_empty());
assert!(self.derivative_data.is_empty());
self.calculate(&min_x, &max_x, true, &settings);
self.calculate(&min_x, &max_x, true, true, &settings);
assert!(!self.back_data.is_empty());
assert!(self.integral_data.is_none());