Remove detailed print statements from fill rate analysis and retain only essential output
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@ -110,11 +110,7 @@
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" \"Node Types\": len(stats.get(\"node_type_frequency\", {}))\n",
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" \"Node Types\": len(stats.get(\"node_type_frequency\", {}))\n",
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" })\n",
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" })\n",
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"\n",
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"\n",
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"fill_rate_df = pd.DataFrame(fill_rate_data)\n",
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"fill_rate_df = pd.DataFrame(fill_rate_data)\n"
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"\n",
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"print(\"Fill Rate Summary for E and F:\")\n",
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"print(fill_rate_df.to_string(index=False))\n",
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"print(f\"\\nBoth candidates have identical dimensions: {total_cells} total cells\")\n"
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]
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]
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},
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},
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{
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{
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@ -22219,21 +22215,7 @@
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" yaxis=dict(autorange=\"reversed\")\n",
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" yaxis=dict(autorange=\"reversed\")\n",
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")\n",
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")\n",
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"\n",
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"\n",
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"fig.show()\n",
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"fig.show()"
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"\n",
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"print(\"\\n\" + \"=\"*80)\n",
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"print(\"DETAILED FILL RATE STATISTICS: E vs F\")\n",
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"print(\"=\"*80)\n",
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"for candidate in [\"E\", \"F\"]:\n",
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" stats = candidates[candidate]\n",
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" print(f\"\\nCandidate {candidate}:\")\n",
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" print(f\" Total Cells: {stats.get('total_cells', 'N/A'):,}\")\n",
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" print(f\" Filled Cells: {stats.get('filled_cells', 'N/A'):,}\")\n",
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" print(f\" Empty Cells: {stats.get('empty_cells', 'N/A'):,}\")\n",
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" print(f\" Low Quality: {stats.get('low_quality_cells', 'N/A'):,}\")\n",
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" print(f\" Fill Rate (%): {stats.get('fill_rate', 0) * 100:.4f}%\")\n",
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" print(f\" Node Types: {len(stats.get('node_type_frequency', {}))}\")\n",
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"print(\"=\"*80)"
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]
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]
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},
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},
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{
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{
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