Enum LlmOptimization Evidence Quality

Generated from cargo doc --no-deps -p nemo-relay-builtins -p nemo-relay-diagnostics -p nemo-relay-logging -p nemo-relay-plugin-host -p nemo-relay-codecs -p nemo-relay -p nemo-relay-runtime -p nemo-relay-model-pricing -p nemo-relay-resource-metrics -p nemo-relay-observability -p nemo-relay-adaptive -p nemo-relay-pii-redaction -p nemo-relay-ffi -p nemo-relay-types -p nemo-relay-plugin -p nemo-relay-worker-proto -p nemo-relay-worker.

#[repr(i32)]pub enum LlmOptimizationEvidenceQuality {
    Unspecified = 0,
    Observed = 1,
    Estimated = 2,
}

Whether token evidence was observed or estimated.

Variants

`Unspecified = 0`

Unspecified = 0

No value supplied; invalid where this contract requires an explicit value.

`Observed = 1`

Observed = 1

Token evidence was directly observed.

`Estimated = 2`

Estimated = 2

Token evidence was estimated using the supplied method.

Implementations

`impl LlmOptimizationEvidenceQuality`

impl LlmOptimizationEvidenceQuality

`is_valid`

pub fn is_valid(value: i32) -> bool

Returns true if value is a variant of LlmOptimizationEvidenceQuality.

`from_i32`

pub fn from_i32(value: i32) -> Option<LlmOptimizationEvidenceQuality>

Converts an i32 to a LlmOptimizationEvidenceQuality, or None if value is not a valid variant.

`impl LlmOptimizationEvidenceQuality`

impl LlmOptimizationEvidenceQuality

`as_str_name`

pub fn as_str_name(&self) -> &'static str

String value of the enum field names used in the ProtoBuf definition.

The values are not transformed in any way and thus are considered stable (if the ProtoBuf definition does not change) and safe for programmatic use.

`from_str_name`

pub fn from_str_name(value: &str) -> Option<Self>

Creates an enum from field names used in the ProtoBuf definition.

Trait Implementations

`impl Clone for LlmOptimizationEvidenceQuality`

impl Clone for LlmOptimizationEvidenceQuality

`clone`

fn clone(&self) -> LlmOptimizationEvidenceQuality

`clone_from`

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

`impl Debug for LlmOptimizationEvidenceQuality`

impl Debug for LlmOptimizationEvidenceQuality

`fmt`

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

`impl Default for LlmOptimizationEvidenceQuality`

impl Default for LlmOptimizationEvidenceQuality

`default`

fn default() -> LlmOptimizationEvidenceQuality

`impl From<LlmOptimizationEvidenceQuality> for i32`

impl From<LlmOptimizationEvidenceQuality> for i32

`from`

fn from(value: LlmOptimizationEvidenceQuality) -> i32

`impl Hash for LlmOptimizationEvidenceQuality`

impl Hash for LlmOptimizationEvidenceQuality

`hash`

fn hash<__H: Hasher>(&self, state: &mut __H)

`hash_slice`

fn hash_slice<H>(data: &[Self], state: &mut H)where
    H: Hasher,
    Self: Sized,

`impl Ord for LlmOptimizationEvidenceQuality`

impl Ord for LlmOptimizationEvidenceQuality

`cmp`

fn cmp(&self, other: &LlmOptimizationEvidenceQuality) -> Ordering

`max`

fn max(self, other: Self) -> Selfwhere
    Self: Sized,

`min`

fn min(self, other: Self) -> Selfwhere
    Self: Sized,

`clamp`

fn clamp(self, min: Self, max: Self) -> Selfwhere
    Self: Sized,

`impl PartialEq for LlmOptimizationEvidenceQuality`

impl PartialEq for LlmOptimizationEvidenceQuality

`eq`

fn eq(&self, other: &LlmOptimizationEvidenceQuality) -> bool

`ne`

fn ne(&self, other: &Rhs) -> bool

`impl PartialOrd for LlmOptimizationEvidenceQuality`

impl PartialOrd for LlmOptimizationEvidenceQuality

`partial_cmp`

fn partial_cmp(
    &self,
    other: &LlmOptimizationEvidenceQuality,
) -> Option<Ordering>

`lt`

fn lt(&self, other: &Rhs) -> bool

`le`

fn le(&self, other: &Rhs) -> bool

`gt`

fn gt(&self, other: &Rhs) -> bool

`ge`

fn ge(&self, other: &Rhs) -> bool

`impl TryFrom<i32> for LlmOptimizationEvidenceQuality`

impl TryFrom<i32> for LlmOptimizationEvidenceQuality

`Error`

type Error = UnknownEnumValue

`try_from`

fn try_from(
    value: i32,
) -> Result<LlmOptimizationEvidenceQuality, UnknownEnumValue>

`impl Copy for LlmOptimizationEvidenceQuality`

impl Copy for LlmOptimizationEvidenceQuality

`impl Eq for LlmOptimizationEvidenceQuality`

impl Eq for LlmOptimizationEvidenceQuality

`impl StructuralPartialEq for LlmOptimizationEvidenceQuality`

impl StructuralPartialEq for LlmOptimizationEvidenceQuality