Transactions and Undo/Redo

class File:
    def enable_undo(self, filters=None):
        """
        Enable undo/redo functionality for the file.
        
        Parameters:
        - filters (Filters): Compression for undo log
        """
        
    def disable_undo(self):
        """Disable undo/redo and remove transaction log."""
        
    def is_undo_enabled(self):
        """
        Check if undo/redo is enabled.
        
        Returns:
        bool: True if undo/redo is enabled
        """

class File:
    def mark(self, name=None):
        """
        Create a transaction mark at current state.
        
        Parameters:
        - name (str): Optional name for the mark
        
        Returns:
        int: Mark identifier
        """
        
    def undo(self, mark=None):
        """
        Undo operations back to specified mark.
        
        Parameters:
        - mark (int or str): Mark to undo to (None for last mark)
        """
        
    def redo(self, mark=None):
        """
        Redo operations forward to specified mark.
        
        Parameters:
        - mark (int or str): Mark to redo to (None for next mark)
        """
        
    def get_current_mark(self):
        """
        Get current transaction mark.
        
        Returns:
        int: Current mark identifier
        """
        
    def goto(self, mark):
        """
        Go directly to specified mark.
        
        Parameters:
        - mark (int or str): Target mark identifier
        """

class File:
    def get_marks(self):
        """
        Get list of all available marks.
        
        Returns:
        list: Mark identifiers and names
        """
        
    def _undo_log(self):
        """Access to internal undo log for advanced operations."""

import tables as tb
import numpy as np

with tb.open_file("transactional.h5", "w") as h5file:
    # Enable transactions
    h5file.enable_undo()
    
    # Create initial data structure
    table = h5file.create_table("/", "data", MyDescription)
    h5file.mark("initial_structure")
    
    # Add some data
    for i in range(100):
        row = table.row
        row['id'] = i
        row['value'] = i * 2.0
        row.append()
    table.flush()
    h5file.mark("first_data_batch")
    
    # Add more data
    for i in range(100, 200):
        row = table.row
        row['id'] = i
        row['value'] = i * 3.0
        row.append()
    table.flush()
    h5file.mark("second_data_batch")
    
    # Create additional structures
    array = h5file.create_array("/", "lookup", np.arange(200))
    h5file.mark("with_lookup_array")
    
    # Something went wrong - undo to previous state
    h5file.undo("second_data_batch")
    
    # Check current state
    print(f"Table rows: {table.nrows}")  # Should be 100
    print(f"Array exists: {'lookup' in h5file.root}")  # Should be False
    
    # Redo to restore array
    h5file.redo("with_lookup_array")
    
    # List all available marks
    marks = h5file.get_marks()
    print(f"Available marks: {marks}")