enhance resource anagement in Plotting Functions

[liincu4n]

Description

This PR addresses resource consumption issues in the plot_RTFs and plot_results_LCs functions by adding input data size restrictions and ensuring proper closure of Matplotlib figures to prevent memory leaks.

Changes Made

1. Input Data Size Restriction:

   • Added checks in plot_RTFs to limit the size of P_all and P_freqs arrays to 10,000,000 elements.
   • Added checks in plot_results_LCs to limit the size of freqs, P_DEISM_LC, and P_DEISM_LC_matrix arrays to 10,000,000 elements.
   • Throws ValueError if arrays exceed the limit, preventing excessive memory usage.

2. Optimized Plot Closure:

   • In plot_RTFs, moved plt.close("all") outside the IF_SAVE_PLOT conditional blocks for both magnitude and phase plots to ensure figures are always closed.
   • In plot_results_LCs, added plt.close("all") after plt.show() for both magnitude and phase plots to prevent memory leaks.

Motivation

These changes improve the robustness of the plotting functions by:

• Preventing crashes or slowdowns due to oversized input arrays.
• Ensuring Matplotlib figures are properly closed, avoiding memory leaks in long-running scripts or when generating multiple plots.

Additional Notes

• The input size limit (10M elements) can be adjusted if needed for specific use cases.
• If further optimizations (e.g., data downsampling) are required, please provide feedback.

Please review and provide feedback. Let me know if additional tests or changes are needed!