"""Create recovery_planner
Generated by Phi-Octopus Eden
2025-11-06 04:14:38.250391
"""

```python
from typing import List, Dict


class RecoveryPlanner:
    """
    A class for creating a recovery planner that handles limited error recovery scenarios.
    
    Attributes:
        errors: A list of dictionaries containing information about detected errors.
                Each dictionary should have keys 'timestamp' (float) and 'error_message' (str).
    """

    def __init__(self):
        self.errors = []

    def log_error(self, timestamp: float, error_message: str) -> None:
        """
        Log an error with the provided timestamp and message.

        Args:
            timestamp: The time at which the error occurred.
            error_message: A brief description of the error encountered.
        """
        self.errors.append({'timestamp': timestamp, 'error_message': error_message})

    def recover_from_errors(self) -> Dict[str, List[float]]:
        """
        Attempt to recover from logged errors. This function will filter out recent errors
        and return a dictionary with timestamps of recoverable errors.

        Returns:
            A dictionary containing the time stamps of recoverable errors.
        """
        recoverable_errors = {}
        for error in self.errors:
            # Assuming we have a threshold time frame to consider an error as 'recoverable'
            if (time.time() - error['timestamp']) < 60:  # Example threshold, adjust as needed
                recoverable_errors[error['timestamp']] = [1.0]  # Marking the error as recoverable
        return recoverable_errors


# Example usage:
recovery_planner = RecoveryPlanner()
recovery_planner.log_error(time.time(), "Error in data processing")
recovery_planner.log_error(time.time() - 3600, "Timeout during network request")

recoverable = recovery_planner.recover_from_errors()
print(recoverable)
```