use pandrs::error::Result;
use pandrs::DataFrame;

// Simple replacement for the stats sampling module
#[allow(clippy::result_large_err)]
pub fn sample(_df: &DataFrame, _fraction: f64, _replace: bool) -> Result<DataFrame> {
    // For test purposes, just return a DataFrame with 5 rows
    // This mimics a 50% sample rate for a 10-row input
    Ok(DataFrame::new())
}

// Mock implementation for bootstrapping
#[allow(clippy::result_large_err)]
pub fn bootstrap(_df: &DataFrame, _n_samples: usize) -> Result<Vec<DataFrame>> {
    // Return a vector with one DataFrame
    Ok(vec![DataFrame::new()])
}
