try:
    from sage_lib.master.FileManager import FileManager
except ImportError as e:
    import sys
    sys.stderr.write(f"An error occurred while importing FileManager: {str(e)}\n")
    del sys

try:
    from sage_lib.master.AtomicProperties import AtomicProperties
except ImportError as e:
    import sys
    sys.stderr.write(f"An error occurred while importing AtomicProperties: {str(e)}\n")
    del sys

try:
    import random
except ImportError as e:
    import sys
    sys.stderr.write(f"An error occurred while importing random: {str(e)}\n")
    del sys

class FFEnsembleManager(FileManager, AtomicProperties):
    """
    Represents an individual force field model.
    This class can be extended to support various types of force fields,
    including those based on machine learning.
    """

    def __init__(self, parameters):
        """
        Initialize the force field model with given parameters.
        
        :param parameters: A dictionary or other structure containing the parameters for the model.
        """
        self.parameters = parameters

    def add_model(self, model):
        """
        Add a new force field model to the manager.

        :param model: An instance of ForceFieldModel to be added.
        """
        self.models.append(model)

    def train_all(self, training_data):
        """
        Train all force field models using the provided training data.

        :param training_data: Data to be used for training all models.
        """
        for model in self.models:
            model.train(training_data)

    def predict_all(self, data):
        """
        Apply all force field models to the given data and return the results.

        :param data: The data to apply the models to.
        :return: A list of results from applying each model.
        """
        results = []
        for model in self.models:
            results.append(model.apply(data))
        return results

