import matplotlib.pyplot as plt
import seaborn as sns
import numpy as np
from typing import Optional
import logging

logger = logging.getLogger(__name__)

def setup_plot_style() -> None:
    """
    Set up consistent plotting style.
    """
    # TODO: Implement plot style configuration
    pass

def save_plot(fig: plt.Figure, filename: str) -> None:
    """
    Save plot to file with proper error handling.
    """
    # TODO: Implement plot saving with error handling
    pass

def create_time_series_plot(
    x: np.ndarray,
    y_true: np.ndarray,
    y_pred: np.ndarray,
    title: str,
    xlabel: str,
    ylabel: str,
    max_points: Optional[int] = None
) -> plt.Figure:
    """
    Create a time series plot with actual vs predicted values.
    """
    # TODO: Implement time series plot creation
    pass

def create_scatter_plot(
    y_true: np.ndarray,
    y_pred: np.ndarray,
    title: str,
    xlabel: str,
    ylabel: str
) -> plt.Figure:
    """
    Create a scatter plot of actual vs predicted values.
    """
    # TODO: Implement scatter plot creation
    pass

def create_residuals_plot(
    x: np.ndarray,
    residuals: np.ndarray,
    title: str,
    xlabel: str,
    ylabel: str,
    max_points: Optional[int] = None
) -> plt.Figure:
    """
    Create a plot of residuals over time.
    """
    # TODO: Implement residuals plot creation
    pass

def create_residuals_distribution_plot(
    residuals: np.ndarray,
    title: str,
    xlabel: str,
    ylabel: str
) -> plt.Figure:
    """
    Create a distribution plot of residuals.
    """
    # TODO: Implement residuals distribution plot creation
    pass