borrow more

This commit is contained in:
Simon Gardling
2022-03-29 17:39:17 -04:00
parent d9c6c8143e
commit eeecf4bd74
2 changed files with 73 additions and 92 deletions

View File

@@ -91,7 +91,7 @@ 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) {
if integral_min_x.is_nan() {
panic!("integral_min_x is NaN")
@@ -99,9 +99,9 @@ impl FunctionEntry {
panic!("integral_max_x is NaN")
}
let step = (integral_min_x - integral_max_x).abs() / (integral_num as f64);
let step = (integral_min_x - integral_max_x).abs() / (*integral_num as f64);
let data2: Vec<(f64, f64)> = dyn_iter(&step_helper(integral_num, integral_min_x, step))
let data2: Vec<(f64, f64)> = dyn_iter(&step_helper(*integral_num, &integral_min_x, &step))
.map(|x| {
let step_offset = step * x.signum(); // store the offset here so it doesn't have to be calculated multiple times
let x2: f64 = x + step_offset;
@@ -132,20 +132,22 @@ impl FunctionEntry {
pub fn get_func_str(&self) -> &str { &self.func_str }
/// Helps with processing newton's method depending on level of derivative
fn newtons_method_helper(&self, threshold: f64, derivative_level: usize) -> Option<Vec<Value>> {
fn newtons_method_helper(
&self, threshold: &f64, derivative_level: usize,
) -> Option<Vec<Value>> {
let range = self.min_x..self.max_x;
let newtons_method_output: Vec<f64> = match derivative_level {
0 => newtons_method_helper(
threshold,
range,
self.output.back.to_owned().unwrap(),
&threshold,
&range,
&self.output.back.to_owned().unwrap(),
&|x: f64| self.function.get(x),
&|x: f64| self.function.get_derivative_1(x),
),
1 => newtons_method_helper(
threshold,
range,
self.output.derivative.to_owned().unwrap(),
&threshold,
&range,
&self.output.derivative.to_owned().unwrap(),
&|x: f64| self.function.get_derivative_1(x),
&|x: f64| self.function.get_derivative_2(x),
),
@@ -157,8 +159,7 @@ impl FunctionEntry {
} else {
Some(
dyn_iter(&newtons_method_output)
.map(|x| (*x, self.function.get(*x)))
.map(|(x, y)| Value::new(x, y))
.map(|x| Value::new(*x, self.function.get(*x)))
.collect(),
)
}
@@ -169,7 +170,7 @@ impl FunctionEntry {
&mut self, min_x: &f64, max_x: &f64, width_changed: bool, settings: &AppSettings,
) {
let resolution: f64 = settings.plot_width as f64 / (max_x.abs() + min_x.abs());
let resolution_iter = resolution_helper(settings.plot_width + 1, *min_x, resolution);
let resolution_iter = resolution_helper(&settings.plot_width + 1, &min_x, &resolution);
// Makes sure proper arguments are passed when integral is enabled
if self.integral && settings.integral_changed {
@@ -179,11 +180,11 @@ impl FunctionEntry {
let mut partial_regen = false;
let min_max_changed = (min_x != &self.min_x) | (max_x != &self.max_x);
self.min_x = *min_x;
self.max_x = *max_x;
if width_changed {
self.output.invalidate_back();
self.output.invalidate_derivative();
self.min_x = *min_x;
self.max_x = *max_x;
} else if min_max_changed && self.output.back.is_some() {
partial_regen = true;
@@ -196,22 +197,21 @@ impl FunctionEntry {
.into();
let back_data: Vec<Value> = dyn_iter(&resolution_iter)
.cloned()
.map(|x| {
if let Some(i) = x_data.get_index(x) {
back_cache[i]
} else {
Value::new(x, self.function.get(x))
Value::new(*x, self.function.get(*x))
}
})
.collect();
assert_eq!(back_data.len(), settings.plot_width + 1);
// assert_eq!(back_data.len(), settings.plot_width + 1);
self.output.back = Some(back_data);
let derivative_cache = self.output.derivative.as_ref().unwrap();
let new_derivative_data: Vec<Value> = dyn_iter(&resolution_iter)
.map(|x| {
if let Some(i) = x_data.get_index(*x) {
if let Some(i) = x_data.get_index(x) {
derivative_cache[i]
} else {
Value::new(*x, self.function.get_derivative_1(*x))
@@ -219,7 +219,7 @@ impl FunctionEntry {
})
.collect();
assert_eq!(new_derivative_data.len(), settings.plot_width + 1);
// assert_eq!(new_derivative_data.len(), settings.plot_width + 1);
self.output.derivative = Some(new_derivative_data);
} else {
@@ -227,65 +227,50 @@ impl FunctionEntry {
self.output.invalidate_derivative();
}
self.min_x = *min_x;
self.max_x = *max_x;
let threshold: f64 = resolution / 2.0;
if !partial_regen {
self.output.back = Some({
if self.output.back.is_none() {
let data: Vec<Value> = dyn_iter(&resolution_iter)
.map(|x| Value::new(*x, self.function.get(*x)))
.collect();
assert_eq!(data.len(), settings.plot_width + 1);
if self.output.back.is_none() {
let data: Vec<Value> = dyn_iter(&resolution_iter)
.map(|x| Value::new(*x, self.function.get(*x)))
.collect();
assert_eq!(data.len(), settings.plot_width + 1);
self.output.back = Some(data);
}
self.output.back = Some(data);
}
self.output.back.as_ref().unwrap().clone()
});
self.output.derivative = {
if self.output.derivative.is_none() {
let data: Vec<Value> = dyn_iter(&resolution_iter)
.map(|x| Value::new(*x, self.function.get_derivative_1(*x)))
.collect();
assert_eq!(data.len(), settings.plot_width + 1);
self.output.derivative = Some(data);
}
Some(self.output.derivative.as_ref().unwrap().clone())
};
if self.output.derivative.is_none() {
let data: Vec<Value> = dyn_iter(&resolution_iter)
.map(|x| Value::new(*x, self.function.get_derivative_1(*x)))
.collect();
assert_eq!(data.len(), settings.plot_width + 1);
self.output.derivative = Some(data);
}
}
self.output.integral = match self.integral {
true => {
if self.output.integral.is_none() {
let (data, area) = self.integral_rectangles(
settings.integral_min_x,
settings.integral_max_x,
settings.riemann_sum,
settings.integral_num,
);
self.output.integral =
Some((data.iter().map(|(x, y)| Bar::new(*x, *y)).collect(), area));
}
let cache = self.output.integral.as_ref().unwrap();
Some((cache.0.clone(), cache.1))
if self.integral {
if self.output.integral.is_none() {
let (data, area) = self.integral_rectangles(
&settings.integral_min_x,
&settings.integral_max_x,
&settings.riemann_sum,
&settings.integral_num,
);
self.output.integral =
Some((data.iter().map(|(x, y)| Bar::new(*x, *y)).collect(), area));
}
false => None,
};
} else {
self.output.integral = None;
}
// Calculates extrema
if settings.do_extrema && (min_max_changed | self.output.extrema.is_none()) {
self.output.extrema = self.newtons_method_helper(threshold, 1);
self.output.extrema = self.newtons_method_helper(&threshold, 1);
}
// Calculates roots
if settings.do_roots && (min_max_changed | self.output.roots.is_none()) {
self.output.roots = self.newtons_method_helper(threshold, 0);
self.output.roots = self.newtons_method_helper(&threshold, 0);
}
}