Struct Regression10V1 

pub struct Regression10V1 {
    pub table: Regression10TableV1,
}

Fields

table: Regression10TableV1

Trait Implementations

impl Clone for Regression10V1

fn clone(&self) -> Regression10V1

Returns a duplicate of the value.

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

Performs copy-assignment from source.

impl CompatFrom<Regression10V1> for Regression10V1

fn compat_from(value: Regression10V1) -> Regression10V1

Converts value into a value of this type.

impl Debug for Regression10V1

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

Formats the value using the given formatter.

impl<'a, ___E> Encode<Regression10V1<'static>, ___E> for &'a Regression10V1

where ___E: InternalHandleEncoder + Encoder + ?Sized,

fn encode( self, encoder_: &mut ___E, out_: &mut MaybeUninit<Regression10V1<'static>>, _: (), ) -> Result<(), EncodeError>

Encodes this value into an encoder and output.

const COPY_OPTIMIZATION: CopyOptimization<Self, W> = _

Whether the conversion from Self to W is equivalent to copying the raw bytes of Self.

impl<___E> Encode<Regression10V1<'static>, ___E> for Regression10V1

where ___E: InternalHandleEncoder + Encoder + ?Sized,

fn encode( self, encoder_: &mut ___E, out_: &mut MaybeUninit<Regression10V1<'static>>, _: (), ) -> Result<(), EncodeError>

Encodes this value into an encoder and output.

const COPY_OPTIMIZATION: CopyOptimization<Self, W> = _

Whether the conversion from Self to W is equivalent to copying the raw bytes of Self.

impl<'a, ___E> EncodeOption<Box<'static, Regression10V1<'static>>, ___E> for &'a Regression10V1

where ___E: Encoder + ?Sized, &'a Regression10V1: Encode<Regression10V1<'static>, ___E>,

fn encode_option( this: Option<&'a Regression10V1>, encoder: &mut ___E, out: &mut MaybeUninit<Box<'static, Regression10V1<'static>>>, _: (), ) -> Result<(), EncodeError>

Encodes this optional value into an encoder and output.

impl<___E> EncodeOption<Box<'static, Regression10V1<'static>>, ___E> for Regression10V1

where ___E: Encoder + ?Sized, Regression10V1: Encode<Regression10V1<'static>, ___E>,

fn encode_option( this: Option<Regression10V1>, encoder: &mut ___E, out: &mut MaybeUninit<Box<'static, Regression10V1<'static>>>, _: (), ) -> Result<(), EncodeError>

Encodes this optional value into an encoder and output.

impl<'de> FromWire<Regression10V1<'de>> for Regression10V1

fn from_wire(wire: Regression10V1<'de>) -> Regression10V1

Converts the given owned value to this type.

const COPY_OPTIMIZATION: CopyOptimization<W, Self> = _

Whether the conversion from W to Self is equivalent to copying the raw bytes of W.

impl<'de> FromWireRef<Regression10V1<'de>> for Regression10V1

fn from_wire_ref(wire: &Regression10V1<'de>) -> Regression10V1

Converts the given reference to this type.

impl Hash for Regression10V1

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

where __H: Hasher,

Feeds this value into the given Hasher.

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

where H: Hasher, Self: Sized,

Feeds a slice of this type into the given Hasher.

impl Ord for Regression10V1

fn cmp(&self, other: &Regression10V1) -> Ordering

This method returns an Ordering between self and other.

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

where Self: Sized,

Compares and returns the maximum of two values.

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

where Self: Sized,

Compares and returns the minimum of two values.

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

where Self: Sized,

Restrict a value to a certain interval.

impl PartialEq for Regression10V1

fn eq(&self, other: &Regression10V1) -> 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 PartialOrd for Regression10V1

fn partial_cmp(&self, other: &Regression10V1) -> Option<Ordering>

This method returns an ordering between self and other values if one exists.

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

Tests less than (for self and other) and is used by the < operator.

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

Tests less than or equal to (for self and other) and is used by the <= operator.

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

Tests greater than (for self and other) and is used by the > operator.

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

Tests greater than or equal to (for self and other) and is used by the >= operator.

impl Copy for Regression10V1

impl Eq for Regression10V1

impl StructuralPartialEq for Regression10V1