Struct Assessment 

#[non_exhaustive]
pub struct Assessment {
    pub action: String,
    pub equity: f64,
    pub ev: f64,
    pub recommended: bool,
}

One candidate action’s Monte Carlo assessment, for a solver or hint view

Produced by MonteCarloBot::assess: the same rollouts the bot chooses with, surfaced per candidate instead of collapsed to the single action a Strategy method returns.

Fields (Non-exhaustive)

Non-exhaustive structs could have additional fields added in future. Therefore, non-exhaustive structs cannot be constructed in external crates using the traditional Struct { .. } syntax; cannot be matched against without a wildcard ..; and struct update syntax will not work.

action: String

A rendered label for the action, e.g. "discard 4♠", "knock", "take 4♠", "pass", "draw stock", "big gin".

equity: f64

Mean game-winning equity in [0, 1] — the quantity the bot maximizes, so candidates rank by it. A candidate the bot eliminated early averages over the worlds it saw before elimination rather than the full sample count.

ev: f64

Mean signed round points the action wins the deciding seat: positive for a net gain, negative for a net loss. Averaged over the same worlds as equity.

recommended: bool

Whether this is the bot’s own pick — the move a Strategy method would return on this view. Because the bot deviates from the greedy baseline only on a statistically clear gain, this need not be the highest-equity candidate.

Trait Implementations

impl Clone for Assessment

fn clone(&self) -> Assessment

Returns a duplicate of the value.

fn clone_from(&mut self, source: &Self)

Performs copy-assignment from source.

impl Debug for Assessment

fn fmt(&self, f: &mut Formatter<'_>) -> Result

Formats the value using the given formatter.