Took me a minute to even figure out what 'possible' means here.
For each column, determine the minimum rotations needed to make all rows have a 1 in that column, then take the minimum across columns. If any column has no 1 in a row, that column is impossible; if all columns are impossible, return 0.
Pro tip: Clarify that 'cycle a row' means shifting the entire row left or right by one position per operation, and that operations on different rows are independent. Also, mention that you can precompute the positions of 1s in each row to quickly check column feasibility.
Confirm that each operation shifts a single row by one position (left or right) and that you can perform operations on multiple rows. The goal is to align a column of 1s with minimum total shifts.
For each row, record the indices where 1s appear. This allows O(1) lookup of whether a row can contribute a 1 to a given column and the required shift.
For each column index c, check every row: if the row has a 1, compute the minimal shift (left or right) to move that 1 to column c; if no 1, the column is impossible. Sum the minimal shifts for all rows to get the cost for that column.
Track the minimum total shifts across all feasible columns. If no column is feasible, return 0 as specified.
The algorithm runs in O(n * m) time where n is rows and m is columns, with O(n * m) space for storing positions. Discuss edge cases like empty array, all zeros, or already aligned columns.
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