magnus167/rustframe
1
0
Fork 0
mirror of https://github.com/Magnus167/rustframe.git synced 2025-08-20 04:19:59 +00:00
Code Issues Packages Projects Releases Wiki Activity

Fix typos in documentation comments and improve clarity in cumsum_horizontal implementation

Browse Source
This commit is contained in:
Palash Tyagi 2025-04-23 19:57:46 +01:00
parent c30646d5d0
commit 284471f4aa
1 changed files with 6 additions and 7 deletions
Show Stats Download Patch File Download Diff File Expand all files Collapse all files

13
src/matrix/seriesops.rs
View File

@ -1,6 +1,6 @@
use crate::matrix::{Axis, BoolMatrix, FloatMatrix};
/// “Series–like” helpers that work along a single axis.
/// "Series-like" helpers that work along a single axis.
///
/// *All* the old methods (`sum_*`, `prod_*`, `is_nan`, …) are exposed
/// through this trait, so nothing needs to stay on an `impl Matrix<f64>`;
@ -100,7 +100,7 @@ impl SeriesOps for FloatMatrix {
}
fn cumsum_horizontal(&self) -> FloatMatrix {
// 1. Store row-wise cumulative sums temporarily
// Compute cumulative sums for each row and store in a temporary buffer
let mut row_results: Vec<Vec<f64>> = Vec::with_capacity(self.rows());
for r in 0..self.rows() {
let mut row_data = Vec::with_capacity(self.cols());
@ -115,16 +115,15 @@ impl SeriesOps for FloatMatrix {
row_results.push(row_data);
}
// 2. Build the final data vector in column-major order
// Assemble the final data vector in column-major format
let mut final_data = Vec::with_capacity(self.rows() * self.cols());
for c in 0..self.cols() {
for r in 0..self.rows() {
// Get the element from row 'r', column 'c' of the row_results
// Extract the element at (r, c) from the temporary row-wise results
final_data.push(row_results[r][c]);
}
}
// 3. Construct the matrix using the correctly ordered data
FloatMatrix::from_vec(final_data, self.rows(), self.cols())
}
@ -146,7 +145,7 @@ impl SeriesOps for FloatMatrix {
#[cfg(test)]
mod tests {
use super::*;
// Helper function to create a FloatMatrix for SeriesOps testing
fn create_float_test_matrix() -> FloatMatrix {
// 3x3 matrix (column-major) with some NaNs
@ -361,4 +360,4 @@ mod tests {
assert_eq!(matrix.count_nan_horizontal(), vec![2, 2]);
assert_eq!(matrix.is_nan().data(), &[true, true, true, true]);
}
}
}