Struct ScalableLinear 

pub struct ScalableLinear {
    pub min_x: u64,
    pub min_y: Decimal,
    pub max_x: u64,
    pub max_y: Decimal,
}

min_y for all x <= min_x, max_y for all x >= max_x, linear in between

Fields

min_x: u64

min_y: Decimal

max_x: u64

max_y: Decimal

Implementations

impl ScalableLinear

pub fn scale(self, amount: Uint128) -> Curve

Trait Implementations

impl Clone for ScalableLinear

fn clone(&self) -> ScalableLinear

Returns a duplicate of the value.

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

Performs copy-assignment from source.

impl Debug for ScalableLinear

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

Formats the value using the given formatter.

impl<'de> Deserialize<'de> for ScalableLinear

fn deserialize<__D>(__deserializer: __D) -> Result<Self, __D::Error>

where __D: Deserializer<'de>,

Deserialize this value from the given Serde deserializer.

impl JsonSchema for ScalableLinear

fn schema_name() -> String

The name of the generated JSON Schema.

fn schema_id() -> Cow<'static, str>

Returns a string that uniquely identifies the schema produced by this type.

fn json_schema(generator: &mut SchemaGenerator) -> Schema

Generates a JSON Schema for this type.

fn is_referenceable() -> bool

Whether JSON Schemas generated for this type should be re-used where possible using the $ref keyword.

impl PartialEq for ScalableLinear

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

Tests for self and other values to be equal, and is used by ==.

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

Tests for !=. The default implementation is almost always sufficient, and should not be overridden without very good reason.

impl Serialize for ScalableLinear

fn serialize<__S>(&self, __serializer: __S) -> Result<__S::Ok, __S::Error>

where __S: Serializer,

Serialize this value into the given Serde serializer.

impl StructuralPartialEq for ScalableLinear