It doesn't work
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5 changed files with 81 additions and 25 deletions
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@ -35,8 +35,21 @@ impl Learner {
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}
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self.best_algorithm.clone()
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}
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pub fn calculate_formula_debug(&mut self) -> Formula {
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for _ in 0..self.iterations {
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self.best_algorithm = self.iterate();
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self.best_algorithm.display_tree();
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}
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self.best_algorithm.clone()
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}
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fn iterate(&self) -> Formula {
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let mut formulas: Vec<(Formula, f64)> = vec![];
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let best_similarity = Learner::get_similarity(
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&self.expected_outputs,
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&self.best_algorithm.run(self.inputs.clone()),
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)
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.unwrap();
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let mut formulas: Vec<(Formula, f64)> =
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vec![(self.best_algorithm.clone(), best_similarity)];
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for _ in 0..self.formulas_per_iteration {
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let mut formula = self.best_algorithm.clone();
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Learner::mutate_formula_randomly(&mut formula);
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@ -63,7 +76,7 @@ impl Learner {
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}
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fn mutate_formula_randomly(formula: &mut Formula) {
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let mut editor = formula.modify_random_node();
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let decided_action = random_range(0..3);
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let decided_action = random_range(0..4);
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if decided_action == ACTION_ADD {
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editor.add_node(editor.get_random_node());
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} else if decided_action == ACTION_REMOVE {
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@ -8,9 +8,11 @@ mod tests;
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fn main() {
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let mut learner = Learner::new(
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vec![0., 1., 2., 3., 4., 5., 6., 7., 8., 9., 10.],
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vec![1., 2., 3., 4., 5., 6., 7., 8., 9., 10., 11.],
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None,
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vec![0., 2., 4., 6., 8., 10., 12., 14., 16., 19., 20.],
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None,
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Some(10000),
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);
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println!("{:?}", learner.calculate_formula().as_text());
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let formula = learner.calculate_formula();
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println!("{:?}", formula.as_text());
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formula.display_tree();
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}
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@ -29,7 +29,7 @@ impl Node {
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Self {
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children: vec![],
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handler: NodeHandler::Empty,
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max_children_count: None,
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max_children_count: Some(1),
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}
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}
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pub fn number(n: f64) -> Self {
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@ -74,6 +74,33 @@ impl Node {
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return self.handler.run(inputs, passed_x);
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}
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pub fn set_handler(&mut self, to: NodeHandler) {
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match &to {
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NodeHandler::Number { number } => {
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self.max_children_count = Some(0);
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self.children.clear();
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}
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NodeHandler::Function {
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name,
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function,
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max_args,
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min_args,
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} => {
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self.max_children_count = max_args.clone();
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if let Some(x) = max_args {
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self.children.truncate(x.clone());
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}
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}
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NodeHandler::Variable => {
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self.max_children_count = Some(0);
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self.children.clear();
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}
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NodeHandler::Empty => {
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self.max_children_count = Some(1);
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self.children.truncate(1);
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}
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}
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}
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pub fn modify_node(&mut self) -> NodeModifier {
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NodeModifier::from_random(self, None)
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}
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@ -6,7 +6,7 @@ use rand::random_range;
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pub mod errors;
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const PICK_STOP_PROBABILITY: u8 = 2;
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const TYPE_CHANGE_PROBABILITY: u8 = 10;
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const TYPE_CHANGE_PROBABILITY: u8 = 2;
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pub struct NodeModifier<'a> {
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picked_node: &'a mut Node,
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@ -120,6 +120,9 @@ impl<'a> NodeModifier<'a> {
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&mut self,
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specified_index: Option<usize>,
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) -> Result<(), NodeManipulationError> {
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if let NodeHandler::Empty = &self.picked_node.handler {
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return Err(NodeManipulationError::ProtectedEmpty);
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}
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if self.picked_node.children.len() == 0 {
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return Err(NodeManipulationError::NotEnoughChildren);
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}
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@ -149,6 +152,11 @@ impl<'a> NodeModifier<'a> {
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}
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}
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let children_count = self.picked_node.children.len();
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if let NodeHandler::Empty = &self.picked_node.handler
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&& children_count - 1 > 0
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{
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return Err(NodeManipulationError::TooMuchChildren(node));
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}
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if children_count <= 0 {
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return Err(NodeManipulationError::NotEnoughChildren);
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}
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@ -166,12 +174,12 @@ impl<'a> NodeModifier<'a> {
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} else {
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match &self.picked_node.handler {
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NodeHandler::Number { number } => {
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self.picked_node.handler = NodeHandler::Number {
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self.picked_node.set_handler(NodeHandler::Number {
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number: (self.number_mutation_pool
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[random_range(0..self.number_mutation_pool.len())])(
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number.clone()
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),
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};
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});
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}
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NodeHandler::Function {
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function,
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@ -181,23 +189,18 @@ impl<'a> NodeModifier<'a> {
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} => {
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let selected_mutation = &self.function_mutation_pool
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[random_range(0..self.function_mutation_pool.len())];
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if let NodeHandler::Function {
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name,
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function,
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max_args,
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min_args,
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} = &selected_mutation
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{
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self.picked_node.max_children_count = max_args.clone();
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self.picked_node.handler = selected_mutation.clone();
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}
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self.picked_node.set_handler(selected_mutation.clone());
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}
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_ => {}
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}
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}
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}
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pub fn change_node_type(&mut self, to: Option<NodeHandler>) {
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self.picked_node.handler = to.unwrap_or(self.get_random_handler());
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if let NodeHandler::Empty = &self.picked_node.handler {
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return;
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}
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let next_type = to.unwrap_or(self.get_random_handler());
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self.picked_node.set_handler(next_type);
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}
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pub fn get_random_handler(&self) -> NodeHandler {
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let picked = random_range(0..3);
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21
src/tests.rs
21
src/tests.rs
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@ -1,4 +1,4 @@
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use crate::{formula::Formula, node::Node};
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use crate::{formula::Formula, learner::Learner, node::Node};
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#[test]
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fn test_node_variable() {
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@ -17,7 +17,8 @@ fn test_plus_one() {
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Node::function(
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"+1".to_string(),
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|inputs: Vec<f64>| inputs[0] + 1f64,
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Some(1)
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Some(1),
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1
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),
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None
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)
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@ -35,7 +36,7 @@ fn test_branch_sum() {
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formula
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.modify_tree()
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.insert_node(
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Node::function("Sum".to_string(), |inputs| inputs.iter().sum(), Some(2)),
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Node::function("Sum".to_string(), |inputs| inputs.iter().sum(), Some(2), 0),
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None
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)
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.is_err()
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@ -60,7 +61,7 @@ fn test_display_as_text() {
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formula
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.modify_tree()
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.insert_node(
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Node::function("sum".to_string(), |inputs| inputs.iter().sum(), None),
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Node::function("sum".to_string(), |inputs| inputs.iter().sum(), None, 0),
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None
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)
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.is_err()
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@ -73,7 +74,8 @@ fn test_display_as_text() {
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.add_node(Node::function(
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"sin".to_string(),
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|inputs| inputs[0].sin(),
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Some(1)
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Some(1),
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0
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))
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.is_err()
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== false
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@ -89,3 +91,12 @@ fn test_display_as_text() {
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);
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assert_eq!(formula.as_text(), "sum(X,sin(X))".to_string());
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}
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#[test]
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fn test_2x() {
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let inputs = vec![0., 1., 2., 3., 4., 5., 6., 7., 8., 9., 10., 11., 12.];
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let outputs = vec![0., 2., 4., 6., 8., 10., 12., 14., 16., 18., 20., 22., 24.];
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let mut learner = Learner::new(inputs.clone(), outputs.clone(), None, None);
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let formula = learner.calculate_formula();
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assert_eq!(formula.run(inputs), outputs);
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}
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