Struct TFVector 

#[repr(align(64))]
pub struct TFVector<N>
where
    N: Num + Copy,
{
    pub tf_vec: ZeroSpVec<N>,
    pub token_sum: u64,
    pub denormalize_num: f64,
}

子要素含めて合計64bytesになってる

Fields

tf_vec: ZeroSpVec<N>

TF Vector use sparse vector

token_sum: u64

sum of tokens of this document

denormalize_num: f64

denormalize number for this document for reverse calculation to get token counts from tf values

Implementations

impl<N> TFVector<N>

where N: Num + Copy,

pub fn shrink_to_fit(&mut self)

Trait Implementations

impl<N> Clone for TFVector<N>

where N: Num + Copy + Clone,

fn clone(&self) -> TFVector<N>

Returns a duplicate of the value.

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

Performs copy-assignment from source.

impl<N> Debug for TFVector<N>

where N: Num + Copy + Debug,

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

Formats the value using the given formatter.

impl<'de, N> Deserialize<'de> for TFVector<N>

where N: Num + Copy + Deserialize<'de>,

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

where __D: Deserializer<'de>,

Deserialize this value from the given Serde deserializer.

impl<N> Serialize for TFVector<N>

where N: Num + Copy + Serialize,

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

where __S: Serializer,

Serialize this value into the given Serde serializer.