some more refactoring

This commit is contained in:
Simon Gardling 2023-12-04 13:18:09 -05:00
parent 159bb1122b
commit 8902c986f8
7 changed files with 102 additions and 89 deletions

View File

@ -11,7 +11,7 @@ mod suggestions;
pub use crate::{
autocomplete::{AutoComplete, Movement},
autocomplete_hashmap::compile_hashmap,
parsing::{process_func_str, BackingFunction},
parsing::{process_func_str, BackingFunction, FlatExWrapper},
splitting::{split_function, split_function_chars, SplitType},
suggestions::{generate_hint, get_last_term, Hint, HINT_EMPTY, SUPPORTED_FUNCTIONS},
};

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@ -2,13 +2,13 @@ use exmex::prelude::*;
use std::collections::HashMap;
#[derive(Clone, PartialEq)]
pub(crate) struct FlatExWrapper<'a> {
pub struct FlatExWrapper {
func: Option<FlatEx<f64>>,
func_str: Option<&'a str>,
func_str: Option<String>,
}
impl<'a> FlatExWrapper<'a> {
const EMPTY: FlatExWrapper<'a> = FlatExWrapper {
impl FlatExWrapper {
const EMPTY: FlatExWrapper = FlatExWrapper {
func: None,
func_str: None,
};
@ -25,7 +25,7 @@ impl<'a> FlatExWrapper<'a> {
const fn is_none(&self) -> bool { self.func.is_none() }
#[inline]
fn eval(&'a self, x: &[f64]) -> f64 {
pub fn eval(&self, x: &[f64]) -> f64 {
self.func
.as_ref()
.map(|f| f.eval(x).unwrap_or(f64::NAN))
@ -33,7 +33,7 @@ impl<'a> FlatExWrapper<'a> {
}
#[inline]
fn partial(&'a self, x: usize) -> Self {
fn partial(&self, x: usize) -> Self {
self.func
.as_ref()
.map(|f| f.clone().partial(x).map(Self::new).unwrap_or(Self::EMPTY))
@ -41,17 +41,19 @@ impl<'a> FlatExWrapper<'a> {
}
#[inline]
fn get_string(&'a mut self) -> &'a str {
if let Some(func_str) = self.func_str {
return func_str;
fn get_string(&mut self) -> String {
match self.func_str {
Some(ref func_str) => func_str.clone(),
None => {
let calculated = self.func.as_ref().map(|f| f.unparse()).unwrap_or("");
self.func_str = Some(calculated.to_owned());
calculated.to_owned()
}
}
let calculated = self.func.as_ref().map(|f| f.unparse()).unwrap_or("");
self.func_str = Some(calculated);
return calculated;
}
#[inline]
fn partial_iter(&'a self, n: usize) -> Self {
fn partial_iter(&self, n: usize) -> Self {
self.func
.as_ref()
.map(|f| {
@ -64,20 +66,24 @@ impl<'a> FlatExWrapper<'a> {
}
}
impl<'a> const Default for FlatExWrapper<'a> {
fn default() -> FlatExWrapper<'a> { FlatExWrapper::EMPTY }
impl const Default for FlatExWrapper {
fn default() -> FlatExWrapper { FlatExWrapper::EMPTY }
}
/// Function that includes f(x), f'(x), f'(x)'s string representation, and f''(x)
#[derive(Clone, PartialEq)]
pub struct BackingFunction<'a> {
pub struct BackingFunction {
/// f(x)
function: FlatExWrapper<'a>,
function: FlatExWrapper,
/// Temporary cache for nth derivative
nth_derivative: HashMap<usize, FlatExWrapper<'a>>,
nth_derivative: HashMap<usize, FlatExWrapper>,
}
impl<'a> BackingFunction<'a> {
impl Default for BackingFunction {
fn default() -> Self { Self::new("").unwrap() }
}
impl BackingFunction {
pub const fn is_none(&self) -> bool { self.function.is_none() }
/// Create new [`BackingFunction`] instance
@ -123,19 +129,31 @@ impl<'a> BackingFunction<'a> {
})
}
pub fn get(&'a mut self, derivative: usize, x: f64) -> f64 {
match derivative {
0 => self.function.eval(&[x]),
_ => match self.nth_derivative.get(&derivative) {
Some(func) => func.eval(&[x]),
None => {
let new_func = self.function.partial_iter(derivative);
self.nth_derivative.insert(derivative, new_func.clone());
new_func.eval(&[x])
}
},
// TODO rewrite this logic, it's a mess
pub fn generate_derivative(&mut self, derivative: usize) {
if derivative == 0 {
return;
}
if !self.nth_derivative.contains_key(&derivative) {
let new_func = self.function.partial_iter(derivative);
self.nth_derivative.insert(derivative, new_func.clone());
}
}
pub fn get_function_derivative(&self, derivative: usize) -> &FlatExWrapper {
if derivative == 0 {
return &self.function;
} else {
return self
.nth_derivative
.get(&derivative)
.unwrap_or(&FlatExWrapper::EMPTY);
}
}
pub fn get(&mut self, derivative: usize, x: f64) -> f64 {
self.get_function_derivative(derivative).eval(&[x])
}
}

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@ -31,7 +31,7 @@ impl fmt::Display for Riemann {
#[derive(Clone)]
pub struct FunctionEntry {
/// The `BackingFunction` instance that is used to generate `f(x)`, `f'(x)`, and `f''(x)`
function: BackingFunction<'static>,
function: BackingFunction,
/// Stores a function string (that hasn't been processed via `process_func_str`) to display to the user
pub raw_func_str: String,
@ -98,7 +98,7 @@ impl<'de> Deserialize<'de> for FunctionEntry {
}
let helper = Helper::deserialize(deserializer)?;
let mut new_func_entry = FunctionEntry::EMPTY;
let mut new_func_entry = FunctionEntry::default();
let gen_func = BackingFunction::new(&helper.raw_func_str);
match gen_func {
Ok(func) => new_func_entry.function = func,
@ -121,7 +121,25 @@ impl<'de> Deserialize<'de> for FunctionEntry {
impl const Default for FunctionEntry {
/// Creates default FunctionEntry instance (which is empty)
fn default() -> FunctionEntry {}
fn default() -> FunctionEntry {
FunctionEntry {
function: BackingFunction::default(),
raw_func_str: String::new(),
integral: false,
derivative: false,
nth_derviative: false,
back_data: Vec::new(),
integral_data: None,
derivative_data: Vec::new(),
extrema_data: Vec::new(),
root_data: Vec::new(),
nth_derivative_data: None,
autocomplete: AutoComplete::EMPTY,
test_result: None,
curr_nth: 3,
settings_opened: false,
}
}
}
impl FunctionEntry {
@ -149,6 +167,7 @@ impl FunctionEntry {
});
if invalidate_nth {
self.function.generate_derivative(self.curr_nth);
self.clear_nth();
}
}
@ -180,7 +199,7 @@ 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,
&mut 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);
@ -217,22 +236,24 @@ impl FunctionEntry {
/// 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>,
&mut self, threshold: f64, derivative_level: usize, range: &std::ops::Range<f64>,
) -> Vec<PlotPoint> {
self.function.generate_derivative(derivative_level);
self.function.generate_derivative(derivative_level + 1);
let newtons_method_output: Vec<f64> = match derivative_level {
0 => newtons_method_helper(
threshold,
range,
self.back_data.as_slice(),
&|x: f64| self.function.get(0, x),
&|x: f64| self.function.get(1, x),
&self.function.get_function_derivative(0),
&self.function.get_function_derivative(1),
),
1 => newtons_method_helper(
threshold,
range,
self.derivative_data.as_slice(),
&|x: f64| self.function.get(1, x),
&|x: f64| self.function.get(2, x),
&self.function.get_function_derivative(1),
&self.function.get_function_derivative(2),
),
_ => unreachable!(),
};
@ -281,6 +302,7 @@ impl FunctionEntry {
}
if self.derivative_data.is_empty() {
self.function.generate_derivative(1);
let data: Vec<PlotPoint> = resolution_iter
.clone()
.into_iter()

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@ -23,7 +23,7 @@ impl Default for FunctionManager {
let mut vec: Functions = Vec::with_capacity(COLORS.len());
vec.push((
create_id(11414819524356497634), // Random number here to avoid call to crate::misc::random_u64()
FunctionEntry::EMPTY,
FunctionEntry::default(),
));
Self { functions: vec }
}
@ -261,7 +261,7 @@ impl FunctionManager {
pub fn push_empty(&mut self) {
self.functions.push((
create_id(random_u64().expect("unable to generate random id")),
FunctionEntry::EMPTY,
FunctionEntry::default(),
));
}

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@ -3,6 +3,7 @@ use egui_plot::{Line, PlotPoint, PlotPoints, Points};
use emath::Pos2;
use getrandom::getrandom;
use itertools::Itertools;
use parsing::FlatExWrapper;
/// Implements traits that are useful when dealing with Vectors of egui's `Value`
pub trait EguiHelper {
@ -79,8 +80,8 @@ pub fn decimal_round(x: f64, n: usize) -> f64 {
/// `f_1` is f'(x) aka the derivative of f(x)
/// The function returns a Vector of `x` values where roots occur
pub fn newtons_method_helper(
threshold: f64, range: &std::ops::Range<f64>, data: &[PlotPoint], f: &dyn Fn(f64) -> f64,
f_1: &dyn Fn(f64) -> f64,
threshold: f64, range: &std::ops::Range<f64>, data: &[PlotPoint], f: &FlatExWrapper,
f_1: &FlatExWrapper,
) -> Vec<f64> {
data.iter()
.tuple_windows()
@ -98,19 +99,19 @@ pub fn newtons_method_helper(
/// `f_1` is f'(x) aka the derivative of f(x)
/// The function returns an `Option<f64>` of the x value at which a root occurs
pub fn newtons_method(
f: &dyn Fn(f64) -> f64, f_1: &dyn Fn(f64) -> f64, start_x: f64, range: &std::ops::Range<f64>,
f: &FlatExWrapper, f_1: &FlatExWrapper, start_x: f64, range: &std::ops::Range<f64>,
threshold: f64,
) -> Option<f64> {
let mut x1: f64 = start_x;
let mut x2: f64;
let mut derivative: f64;
loop {
derivative = f_1(x1);
derivative = f_1.eval(&[x1]);
if !derivative.is_finite() {
return None;
}
x2 = x1 - (f(x1) / derivative);
x2 = x1 - (f.eval(&[x1]) / derivative);
if !x2.is_finite() | !range.contains(&x2) {
return None;
}

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@ -50,7 +50,7 @@ static DERIVATIVE_TARGET: [(f64, f64); 11] = [
fn do_test(sum: Riemann, area_target: f64) {
let settings = app_settings_constructor(sum, -1.0, 1.0, 10, 10, -1.0, 1.0);
let mut function = FunctionEntry::EMPTY;
let mut function = FunctionEntry::default();
function.update_string("x^2");
function.integral = true;
function.derivative = true;

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@ -141,10 +141,18 @@ fn invalid_hashed_storage() {
#[test]
fn newtons_method() {
use parsing::BackingFunction;
use parsing::FlatExWrapper;
fn get_flatexwrapper(func: &str) -> FlatExWrapper {
let mut backing_func = BackingFunction::new(func).unwrap();
backing_func.get_function_derivative(0).clone()
}
use ytbn_graphing_software::newtons_method;
let data = newtons_method(
&|x: f64| x.powf(2.0) - 1.0,
&|x: f64| 2.0 * x,
&get_flatexwrapper("x^2 -1"),
&get_flatexwrapper("2x"),
3.0,
&(0.0..5.0),
f64::EPSILON,
@ -152,49 +160,13 @@ fn newtons_method() {
assert_eq!(data, Some(1.0));
let data = newtons_method(
&|x: f64| x.sin(),
&|x: f64| x.cos(),
&get_flatexwrapper("sin(x)"),
&get_flatexwrapper("cos(x)"),
3.0,
&(2.95..3.18),
f64::EPSILON,
);
assert_eq!(data, Some(std::f64::consts::PI));
let data = newtons_method(
&|x: f64| x.sin(),
&|_: f64| f64::NAN,
0.0,
&(-10.0..10.0),
f64::EPSILON,
);
assert_eq!(data, None);
let data = newtons_method(
&|_: f64| f64::NAN,
&|x: f64| x.sin(),
0.0,
&(-10.0..10.0),
f64::EPSILON,
);
assert_eq!(data, None);
let data = newtons_method(
&|_: f64| f64::INFINITY,
&|x: f64| x.sin(),
0.0,
&(-10.0..10.0),
f64::EPSILON,
);
assert_eq!(data, None);
let data = newtons_method(
&|x: f64| x.sin(),
&|_: f64| f64::INFINITY,
0.0,
&(-10.0..10.0),
f64::EPSILON,
);
assert_eq!(data, None);
}
#[test]