Enum googapis::google::privacy::dlp::v2::custom_info_type::detection_rule::likelihood_adjustment::Adjustment

pub enum Adjustment {
    FixedLikelihood(i32),
    RelativeLikelihood(i32),
}

Variants

FixedLikelihood(i32)

Set the likelihood of a finding to a fixed value.

Tuple Fields of FixedLikelihood

0: i32

RelativeLikelihood(i32)

Increase or decrease the likelihood by the specified number of levels. For example, if a finding would be POSSIBLE without the detection rule and relative_likelihood is 1, then it is upgraded to LIKELY, while a value of -1 would downgrade it to UNLIKELY. Likelihood may never drop below VERY_UNLIKELY or exceed VERY_LIKELY, so applying an adjustment of 1 followed by an adjustment of -1 when base likelihood is VERY_LIKELY will result in a final likelihood of LIKELY.

Tuple Fields of RelativeLikelihood

0: i32

Implementations

impl Adjustment

pub fn encode<B>(&self, buf: &mut B) where
    B: BufMut, 

pub fn merge<B>(
    field: &mut Option<Adjustment>,
    tag: u32,
    wire_type: WireType,
    buf: &mut B,
    ctx: DecodeContext
) -> Result<(), DecodeError> where
    B: Buf, 

pub fn encoded_len(&self) -> usize

Trait Implementations

impl Clone for Adjustment

fn clone(&self) -> Adjustment

Returns a copy of the value.

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

Performs copy-assignment from source.

impl Debug for Adjustment

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

Formats the value using the given formatter.

impl PartialEq<Adjustment> for Adjustment

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

This method tests for self and other values to be equal, and is used by ==.

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

This method tests for !=.

impl StructuralPartialEq for Adjustment