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EvaluateModality

qualia_cli::cli::evaluate

Enum EvaluateModality 

Source 
pub enum EvaluateModality {

Show 16 variants    Deontic {
        dataset: PathBuf,
        contract_hash: u64,
    },
    Epistemic {
        dataset: PathBuf,
        agent_hash: u64,
    },
    Paraconsistent {
        dataset: PathBuf,
    },
    Ltl {
        dataset: PathBuf,
        formula_type: String,
        hash_a: u64,
        hash_b: u64,
    },
    Asp {
        dataset: PathBuf,
        base_index: usize,
    },
    Dl {
        dataset: PathBuf,
        sub_class: u64,
        super_class: u64,
    },
    Probabilistic {
        weight: f32,
        threshold: f32,
    },
    LinearLogic {
        dataset: PathBuf,
        quin_index: usize,
    },
    Dialectical {
        dataset: PathBuf,
        var1: u64,
        var2: u64,
    },
    Diffusion {
        graph_id: String,
    },
    SpatioTemporal {
        action: String,
        ax1: f64,
        ay1: f64,
        ax2: f64,
        ay2: f64,
        bx1: f64,
        by1: f64,
        bx2: f64,
        by2: f64,
    },
    Interval {
        action: String,
        start1: i64,
        end1: i64,
        start2: i64,
        end2: i64,
        point: i64,
    },
    GraphTopology {
        dataset: PathBuf,
        context: u64,
    },
    Argumentation {
        demo: bool,
        dataset: Option<PathBuf>,
    },
    ControlFeedback {
        kp: f64,
        ki: f64,
        kd: f64,
        setpoint: f64,
        measurement: f64,
    },
    NeuroSymbolic {
        demo: bool,
    },

}

Variants§

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Deontic

Fields

§dataset: PathBuf
§contract_hash: u64
§

Epistemic

Fields

§dataset: PathBuf
§agent_hash: u64
§

Paraconsistent

Fields

§dataset: PathBuf
§

Ltl

Fields

§dataset: PathBuf
§formula_type: String
§hash_a: u64
§hash_b: u64
§

Asp

Fields

§dataset: PathBuf
§base_index: usize
§

Dl

Fields

§dataset: PathBuf
§sub_class: u64
§super_class: u64
§

Probabilistic

Fields

§weight: f32
§threshold: f32
§

LinearLogic

Fields

§dataset: PathBuf
§quin_index: usize
§

Dialectical

Fields

§dataset: PathBuf
§var1: u64
§var2: u64
§

Diffusion

Fields

§graph_id: String
§

SpatioTemporal

Fields

§action: String
§ax1: f64
§ay1: f64
§ax2: f64
§ay2: f64
§bx1: f64
§by1: f64
§bx2: f64
§by2: f64
§

Interval

Fields

§action: String
§start1: i64
§end1: i64
§start2: i64
§end2: i64
§point: i64
§

GraphTopology

Fields

§dataset: PathBuf
§context: u64
§

Argumentation

Fields

§demo: bool
§dataset: Option<PathBuf>
§

ControlFeedback

Fields

§kp: f64
§ki: f64
§kd: f64
§setpoint: f64
§measurement: f64
§

NeuroSymbolic

Fields

§demo: bool

Trait Implementations§

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impl Debug for EvaluateModality

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

Formats the value using the given formatter. Read more
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impl FromArgMatches for EvaluateModality

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fn from_arg_matches(__clap_arg_matches: &ArgMatches) -> Result<Self, Error>

Instantiate Self from [ArgMatches], parsing the arguments as needed. Read more
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fn from_arg_matches_mut( __clap_arg_matches: &mut ArgMatches, ) -> Result<Self, Error>

Instantiate Self from [ArgMatches], parsing the arguments as needed. Read more
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fn update_from_arg_matches( &mut self, __clap_arg_matches: &ArgMatches, ) -> Result<(), Error>

Assign values from ArgMatches to self.
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fn update_from_arg_matches_mut<'b>( &mut self, __clap_arg_matches: &mut ArgMatches, ) -> Result<(), Error>

Assign values from ArgMatches to self.
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impl Subcommand for EvaluateModality

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fn augment_subcommands<'b>(__clap_app: Command) -> Command

Append to [Command] so it can instantiate Self via [FromArgMatches::from_arg_matches_mut] Read more
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fn augment_subcommands_for_update<'b>(__clap_app: Command) -> Command

Append to [Command] so it can instantiate self via [FromArgMatches::update_from_arg_matches_mut] Read more
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fn has_subcommand(__clap_name: &str) -> bool

Test whether Self can parse a specific subcommand

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