stock-trek 0.2.2

Stock Trek time-series analysis
Documentation 
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#[cfg(feature = "python")]
use pyo3::pyfunction;

#[cfg(feature = "python")]
#[pyfunction]
pub fn discrete_wavelet_transform(
    time_series_values: Vec<f64>,
    wavelet_name: String,
) -> (Vec<f64>, Vec<f64>) {
    crate::statistics::wavelets::discrete_wavelet_transform(&time_series_values, &wavelet_name)
}

#[cfg(feature = "python")]
#[pyfunction]
pub fn continuous_wavelet_transform(
    time_series_values: Vec<f64>,
    scale_values: Vec<f64>,
    wavelet_name: String,
) -> Vec<Vec<f64>> {
    crate::statistics::wavelets::continuous_wavelet_transform(
        &time_series_values,
        &scale_values,
        &wavelet_name,
    )
}