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Workflows
Coding workflows · Rectangular matrix transposition
03
A concrete starting point
Transpose a rectangular matrix into newly allocated rows. Check a tall matrix, one row and zero-width input, rejecting ragged rows and confirming that editing the result does not change the source rows.
Define the change
Describe the input, expected output and boundaries that must stay intact.
Inspect the work
Review the proposed edits and any commands before relying on their result.
Check the outcome
Compare actual behavior with the expected result. If a check fails, investigate it before applying more changes.
Rectangular matrix transposition
A concrete starting point
def transpose(rows):
rows = [list(row) for row in rows]
if not rows:
return []
width = len(rows[0])
if any(len(row) != width for row in rows):
raise ValueError("matrix.ragged")
return [[row[column] for row in rows] for column in range(width)]The example is a starting point for a real project, not a claim that generated code is already tested. Adjust paths, dependencies and expected behavior to match your application.