Trait ObservableReasoning 

pub trait ObservableReasoning<T>
where
    T: Observable,
{
    // Required methods
    fn len(&self) -> usize;
    fn is_empty(&self) -> bool;
    fn get_all_items(&self) -> Vec<&T>;

    // Provided methods
    fn number_observation(
        &self,
        target_threshold: NumericalValue,
        target_effect: NumericalValue,
    ) -> NumericalValue { ... }
    fn number_non_observation(
        &self,
        target_threshold: NumericalValue,
        target_effect: NumericalValue,
    ) -> NumericalValue { ... }
    fn percent_observation(
        &self,
        target_threshold: NumericalValue,
        target_effect: NumericalValue,
    ) -> NumericalValue { ... }
    fn percent_non_observation(
        &self,
        target_threshold: NumericalValue,
        target_effect: NumericalValue,
    ) -> NumericalValue { ... }
}

ObservableReasoning trait provides reasoning methods for collections of Observable items.

Where T: Observable

Provides methods:

• len() - number of items

• is_empty() - checks if empty

• get_all_items() - returns all items

• number_observation() - counts items meeting threshold and effect

• number_non_observation() - counts items not meeting criteria

• percent_observation() - % of items meeting criteria

• percent_non_observation() - % of items not meeting criteria

Uses T’s effect_observed() method to check criteria.

Required Methods

fn len(&self) -> usize

fn is_empty(&self) -> bool

fn get_all_items(&self) -> Vec<&T>

Provided Methods

fn number_observation( &self, target_threshold: NumericalValue, target_effect: NumericalValue, ) -> NumericalValue

Counts the number of observations meeting the criteria.

Iterates through all items and filters based on:

• item.effect_observed(target_threshold, target_effect)

Then returns the count.

fn number_non_observation( &self, target_threshold: NumericalValue, target_effect: NumericalValue, ) -> NumericalValue

Counts the number of non-observations based on the criteria.

Calculates this by:

• self.len() - total number of items
• minus number_observation() count

Returns the number of items not meeting criteria.

fn percent_observation( &self, target_threshold: NumericalValue, target_effect: NumericalValue, ) -> NumericalValue

Calculates the percentage of observations meeting the criteria.

Divides the number_observation count by the total number of items.

Returns value between 0.0 and 1.0 as a percentage.

fn percent_non_observation( &self, target_threshold: NumericalValue, target_effect: NumericalValue, ) -> NumericalValue

Calculates the percentage of non-observations based on the criteria.

Returns 1.0 minus the percent_observation.

Implementations on Foreign Types

impl<K, V> ObservableReasoning<V> for BTreeMap<K, V>

where K: Ord, V: Observable,

fn len(&self) -> usize

fn is_empty(&self) -> bool

fn get_all_items(&self) -> Vec<&V>

impl<K, V> ObservableReasoning<V> for HashMap<K, V>

where K: Eq + Hash, V: Observable,

fn len(&self) -> usize

fn is_empty(&self) -> bool

fn get_all_items(&self) -> Vec<&V>

impl<T> ObservableReasoning<T> for [T]

where T: Observable,

fn len(&self) -> usize

fn is_empty(&self) -> bool

fn get_all_items(&self) -> Vec<&T>

impl<T> ObservableReasoning<T> for VecDeque<T>

where T: Observable,

fn len(&self) -> usize

fn is_empty(&self) -> bool

fn get_all_items(&self) -> Vec<&T>

impl<T> ObservableReasoning<T> for Vec<T>

where T: Observable,

fn len(&self) -> usize

fn is_empty(&self) -> bool

fn get_all_items(&self) -> Vec<&T>

Implementors