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Allow creation of 0-row matrices from empty column data and improve data flattening in from_cols method.

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This commit is contained in:
Palash Tyagi 2025-05-01 23:12:19 +01:00
parent 38c5c28454
commit 7cf41171a8
1 changed files with 7 additions and 7 deletions
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14
src/matrix/mat.rs
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@ -13,13 +13,15 @@ impl<T: Clone> Matrix<T> {
pub fn from_cols(cols_data: Vec<Vec<T>>) -> Self {
let cols = cols_data.len();
assert!(cols > 0, "need at least one column");
let rows = cols_data[0].len();
// Allow 0-row matrices if columns are empty, but not 0-col matrices if rows > 0
// Handle empty cols_data
let rows = cols_data.get(0).map_or(0, |c| c.len());
// Allow 0-row matrices if columns are empty, but not 0-col matrices if rows > 0
assert!(
rows > 0 || cols == 0,
"need at least one row if columns exist"
);
for (i, col) in cols_data.iter().enumerate().skip(1) {
for (i, col) in cols_data.iter().enumerate() {
assert!(
col.len() == rows,
"col {} has len {}, expected {}",
@ -28,10 +30,8 @@ impl<T: Clone> Matrix<T> {
rows
);
}
let mut data = Vec::with_capacity(rows * cols);
for col in cols_data {
data.extend(col);
}
// Flatten column data directly
let data = cols_data.into_iter().flatten().collect();
Matrix { rows, cols, data }
}