chore: Restructure

# Conflicts:
#	config/measure.py
#	results/compression_results_auto_small.csv

cpu_compression_graphs.py

@@ -1,114 +0,0 @@
-import pandas as pd
-import matplotlib.pyplot as plt
-import seaborn as sns
-import os
-
-
-def plot_compression_metrics(csv_path, output_dir="results/compress/plots"):
-    """Generate visualizations for compression metrics.
-
-    Args:
-        csv_path (str): Path to the CSV file with compression metrics
-        output_dir (str): Directory to save the output plots
-    """
-    # Create output directory if it doesn't exist
-    os.makedirs(output_dir, exist_ok=True)
-
-    # Read the data
-    df = pd.read_csv(csv_path)
-
-    # Add a human-readable size column
-    def format_size(size_bytes):
-        for unit in ['B', 'KB', 'MB']:
-            if size_bytes < 1024.0:
-                return f"{size_bytes:.1f} {unit}"
-            size_bytes /= 1024.0
-        return f"{size_bytes:.1f} GB"
-
-    df['file_size'] = df['original_size'].apply(format_size)
-
-    # Set up the plotting style
-    sns.set(style="whitegrid")
-    plt.rcParams['figure.figsize'] = (12, 6)
-
-    # 1. Compression Ratio Comparison
-    plt.figure()
-    ax = sns.barplot(
-        x='filename',
-        y='compression_ratio',
-        hue='compressor',
-        data=df,
-        palette='viridis'
-    )
-    plt.title('Compression Ratio by File and Compressor')
-    plt.xlabel('File')
-    plt.ylabel('Compression Ratio (Higher is better)')
-    plt.xticks(rotation=45, ha='right')
-    plt.tight_layout()
-    plt.savefig(f"{output_dir}/compression_ratio_comparison.png", dpi=300, bbox_inches='tight')
-    plt.close()
-
-    # 2. Compression Time Comparison
-    plt.figure()
-    ax = sns.barplot(
-        x='filename',
-        y='compression_time',
-        hue='compressor',
-        data=df,
-        palette='viridis'
-    )
-    plt.title('Compression Time by File and Compressor')
-    plt.xlabel('File')
-    plt.ylabel('Compression Time (seconds) (log)')
-    plt.yscale('log')
-    plt.xticks(rotation=45, ha='right')
-    plt.tight_layout()
-    plt.savefig(f"{output_dir}/compression_time_comparison.png", dpi=300, bbox_inches='tight')
-    plt.close()
-
-    # 3. Decompression Time Comparison
-    plt.figure()
-    ax = sns.barplot(
-        x='filename',
-        y='decompression_time',
-        hue='compressor',
-        data=df,
-        palette='viridis'
-    )
-    plt.title('Decompression Time by File and Compressor')
-    plt.xlabel('File')
-    plt.ylabel('Decompression Time (seconds) (log)')
-    plt.yscale('log')
-    plt.xticks(rotation=45, ha='right')
-    plt.tight_layout()
-    plt.savefig(f"{output_dir}/decompression_time_comparison.png", dpi=300, bbox_inches='tight')
-    plt.close()
-
-    # 4. Scatter plot: Compression Ratio vs Compression Time
-    plt.figure(figsize=(10, 6))
-    for compressor in df['compressor'].unique():
-        subset = df[df['compressor'] == compressor]
-        plt.scatter(
-            subset['compression_ratio'],
-            subset['compression_time'],
-            label=compressor.upper(),
-            s=100,
-            alpha=0.7
-        )
-
-    plt.title('Compression Ratio vs Compression Time')
-    plt.xlabel('Compression Ratio (Higher is better)')
-    plt.ylabel('Compression Time (seconds)')
-    plt.legend(title='Compressor')
-    plt.grid(True, alpha=0.3)
-    plt.tight_layout()
-    plt.savefig(f"{output_dir}/ratio_vs_time.png", dpi=300, bbox_inches='tight')
-    plt.close()
-
-    print(f"Plots saved to {output_dir}/")
-
-
-if __name__ == "__main__":
-    # You can modify this path to point to your CSV file
-    csv_path = "results/compress/compression_metrics_20251216_182603.csv"
-    plot_compression_metrics(csv_path)