csaps 0.5.0

Cubic spline approximation (smoothing)
Documentation 
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use ndarray::{ArrayView1, Axis, Dimension};

use crate::{
    validate::{validate_data_sites, validate_smooth_value},
    CsapsError::InvalidInputData,
    CubicSmoothingSpline, Real, RealRef, Result,
};

impl<'a, T, D> CubicSmoothingSpline<'a, T, D>
where
    T: Real<T>,
    for<'r> &'r T: RealRef<&'r T, T>,

    D: Dimension,
{
    pub(super) fn make_validate(&self) -> Result<()> {
        let x_size = self.x.len();

        if x_size < 2 {
            return Err(InvalidInputData(
                "The size of data vectors must be greater or equal to 2".to_string(),
            ));
        }

        validate_data_sites(self.x)?;

        if self.y.ndim() == 0 {
            return Err(InvalidInputData("`y` has zero dimensionality".to_string()));
        }

        let default_axis = Axis(self.y.ndim() - 1);
        let axis = self.axis.unwrap_or(default_axis);

        if axis > default_axis {
            return Err(InvalidInputData(format!(
                "`axis` value ({}) is out of bounds `y` dimensionality ({})",
                axis.0,
                self.y.ndim()
            )));
        }

        let y_size = self.y.len_of(axis);

        if x_size != y_size {
            return Err(InvalidInputData(format!(
                "The shape[{}] ({}) of `y` data is not equal to `x` size ({})",
                axis.0, y_size, x_size
            )));
        }

        if let Some(weights) = self.weights {
            let w_size = weights.len();

            if w_size != x_size {
                return Err(InvalidInputData(format!(
                    "`weights` size ({}) is not equal to `x` size ({})",
                    w_size, x_size
                )));
            }
        }

        if let Some(smooth) = self.smooth {
            validate_smooth_value(smooth)?;
        }

        Ok(())
    }

    pub(super) fn evaluate_validate(&self, xi: ArrayView1<'a, T>) -> Result<()> {
        if xi.is_empty() {
            return Err(InvalidInputData(
                "The size of `xi` vector must be greater or equal to 1".to_string(),
            ));
        }

        if self.spline.is_none() {
            return Err(InvalidInputData(
                "The spline has not been computed, use `make` method before".to_string(),
            ));
        }

        Ok(())
    }
}