"""Create recovery_planner
Generated by Phi-Octopus Eden
2025-11-07 08:16:12.106236
"""

```python
from typing import Dict


class RecoveryPlanner:
    """
    A class designed to handle limited error recovery scenarios in a system.
    
    This planner identifies errors based on predefined conditions, logs them,
    and attempts to recover by implementing corrective actions. It operates 
    within the constraints of limited resources (CPU time, memory) to ensure
    efficient operations.

    Attributes:
        max_errors: The maximum number of errors this planner can handle before stopping.
        error_count: Current count of errors encountered.
        recovery_actions: A dictionary mapping error types to their corresponding recovery actions.

    Methods:
        log_error(error_type: str): Logs an error if the current count is below the limit, else returns.
        attempt_recovery(error_type: str) -> bool: Tries to recover from the given error type and returns success status.
        handle_errors() -> None: Main method that runs recovery actions in a loop until all errors are handled or max limit hit.
    """

    def __init__(self, max_errors: int):
        self.max_errors = max_errors
        self.error_count = 0
        self.recovery_actions: Dict[str, callable] = {
            'DataCorruption': self._recover_from_data_corruption,
            'ResourceLeak': self._recover_from_resource_leak,
            'TimeoutError': self._recover_from_timeout_error,
        }

    def log_error(self, error_type: str) -> None:
        """Log an error if the current count is below the limit."""
        if self.error_count < self.max_errors:
            print(f"Logging error {self.error_count}: {error_type}")
            self.error_count += 1
        else:
            print("Error count limit reached. Stopping recovery attempts.")

    def attempt_recovery(self, error_type: str) -> bool:
        """Try to recover from the given error type and return success status."""
        if error_type in self.recovery_actions:
            action = self.recovery_actions[error_type]
            result = action()
            print(f"Attempted recovery for {error_type}: {'Success' if result else 'Failed'}")
            return result
        return False

    def _recover_from_data_corruption(self) -> bool:
        """Simulate data corruption recovery logic."""
        import random
        success_chance = 0.75
        return random.random() < success_chance

    def _recover_from_resource_leak(self) -> bool:
        """Simulate resource leak recovery logic."""
        import time
        print("Releasing unused resources...")
        time.sleep(1)
        return True

    def _recover_from_timeout_error(self) -> bool:
        """Simulate timeout error recovery logic."""
        import signal
        signal_handler = signal.signal(signal.SIGALRM, lambda *args: None)
        signal.alarm(0)  # Reset alarm
        print("Resuming normal operations...")
        return True

    def handle_errors(self) -> None:
        """Run recovery actions in a loop until all errors are handled or max limit hit."""
        while self.error_count > 0:
            for error_type in self.recovery_actions.keys():
                if self.attempt_recovery(error_type):
                    print(f"Error {error_type} recovered.")
                    self.log_error(error_type)
                else:
                    break
            else:  # This loop will only run if no break statement was hit
                continue
            break


# Example usage
if __name__ == "__main__":
    planner = RecoveryPlanner(max_errors=5)
    for _ in range(10):
        error_type = 'DataCorruption' if random.random() < 0.3 else 'ResourceLeak'
        planner.log_error(error_type)
        if not planner.attempt_recovery(error_type):
            break
    planner.handle_errors()
```

This code creates a `RecoveryPlanner` class that simulates handling limited error recovery in a system. It includes three types of errors (`DataCorruption`, `ResourceLeak`, and `TimeoutError`) with different recovery methods. The example usage demonstrates logging errors, attempting to recover from them, and finally handling all logged errors if possible.