Bitwise operations on Column #177

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Column has no bitwise operation methods.

Analysis

Adding Column.and_(), Column.or_(), etc. is not needed — Column.map + the Cell API already makes Column-level bitwise methods redundant. Users can write column.map(lambda cell: cell.and_(other)) instead.

However, the current Cell API does not support integer bitwise operations:

• The existing and_, or_, xor, not_ operators on Cell are Boolean-only (enforced via CellTypeRequirements.BOOLEAN). They reject integer cells with ColumnTypeError.
• There are no shift operations (__lshift__/__rshift__, shift_left/shift_right) on Cell at all.

Desired solution

Add integer bitwise support to the Cell API as named methods and operators directly on Cell (no namespace). Column.map then naturally provides Column-level access — no Column-level methods needed.

Operators (&, |, ^, ~, <<, >>): Accept both Boolean and integer cells, following Python's own convention where & on bool is logical and & on int is bitwise. The existing CellTypeRequirements.BOOLEAN check is relaxed to also accept integer cells.

Named methods: Flat on Cell with a bitwise_ prefix for integer methods to distinguish them from the existing Boolean named methods. The prefix is applied consistently across all bitwise methods (including shifts) for discoverability and grouping in autocomplete.

Example usage:

# Boolean (existing behavior, unchanged)
column.map(lambda cell: cell & other)       # logical AND (operator)
column.map(lambda cell: cell.and_(other))   # logical AND (named)

# Integer (new)
column.map(lambda cell: cell & 0xFF)              # bitwise AND (operator)
column.map(lambda cell: cell.bitwise_and(0xFF))   # bitwise AND (named)
column.map(lambda cell: cell << 2)                # left shift (operator)
column.map(lambda cell: cell.bitwise_left_shift(2))  # left shift (named)