Enum FftNorm 

pub enum FftNorm {
    Backward,
    Forward,
    Ortho,
}

FFT normalization convention.

Backward matches NumPy, JAX, and PyTorch defaults: the forward transform is unscaled and the inverse transform is scaled by 1 / n.

Examples

use tenferro_fft::FftNorm;

assert_eq!(FftNorm::default(), FftNorm::Backward);

Variants

Backward

Scale inverse transforms by 1 / n.

Forward

Scale forward transforms by 1 / n.

Ortho

Scale both forward and inverse transforms by 1 / sqrt(n).

Trait Implementations

impl Clone for FftNorm

fn clone(&self) -> FftNorm

Returns a duplicate of the value.

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

Performs copy-assignment from source.

impl Debug for FftNorm

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

Formats the value using the given formatter.

impl Default for FftNorm

fn default() -> FftNorm

Returns the “default value” for a type.

impl PartialEq for FftNorm

fn eq(&self, other: &FftNorm) -> 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 Copy for FftNorm

impl Eq for FftNorm

impl StructuralPartialEq for FftNorm