feat: Add AtomizerField training data export and intelligent model discovery
Major additions: - Training data export system for AtomizerField neural network training - Bracket stiffness optimization study with 50+ training samples - Intelligent NX model discovery (auto-detect solutions, expressions, mesh) - Result extractors module for displacement, stress, frequency, mass - User-generated NX journals for advanced workflows - Archive structure for legacy scripts and test outputs - Protocol documentation and dashboard launcher 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude <noreply@anthropic.com>
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# AtomizerField Training Data
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**Study Name**: bracket_stiffness_optimization_atomizerfield
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**Generated**: 2025-11-26 10:39:27
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## Directory Structure
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```
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bracket_stiffness_optimization_atomizerfield/
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├── trial_0001/
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│ ├── input/
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│ │ └── model.bdf # NX Nastran input deck (BDF format)
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│ ├── output/
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│ │ └── model.op2 # NX Nastran binary results (OP2 format)
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│ └── metadata.json # Design parameters, objectives, constraints
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├── trial_0002/
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│ └── ...
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├── study_summary.json # Overall study metadata
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└── README.md # This file
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```
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## Design Variables
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- support_angle
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- tip_thickness
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## Objectives
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- stiffness
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- mass
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## Constraints
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- mass_limit
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## Usage with AtomizerField
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### 1. Parse Training Data
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```bash
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cd Atomizer-Field
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python batch_parser.py --data-dir "C:\Users\antoi\Documents\Atomaste\Atomizer\atomizer_field_training_data\bracket_stiffness_optimization_atomizerfield"
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```
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This converts BDF/OP2 files to PyTorch Geometric format.
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### 2. Validate Parsed Data
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```bash
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python validate_parsed_data.py
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```
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### 3. Train Neural Network
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```bash
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python train.py --data-dir "training_data/parsed/" --epochs 200
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```
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### 4. Use Trained Model in Atomizer
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```bash
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cd ../Atomizer
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python run_optimization.py --config studies/bracket_stiffness_optimization_atomizerfield/workflow_config.json --use-neural
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```
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## File Formats
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- **BDF (.bdf)**: Nastran Bulk Data File - contains mesh, materials, loads, BCs
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- **OP2 (.op2)**: Nastran Output2 - binary results with displacements, stresses, etc.
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- **metadata.json**: Human-readable trial metadata
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## AtomizerField Documentation
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See `Atomizer-Field/docs/` for complete documentation on:
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- Neural network architecture
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- Training procedures
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- Integration with Atomizer
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- Uncertainty quantification
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---
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*Generated by Atomizer Training Data Exporter*
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{
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"study_name": "bracket_stiffness_optimization_atomizerfield",
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"total_trials": 99,
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"design_variables": [
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"support_angle",
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"tip_thickness"
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],
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"objectives": [
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"stiffness",
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"mass"
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],
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"constraints": [
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"mass_limit"
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],
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"export_timestamp": "2025-11-26T10:24:08.885790",
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"metadata": {
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"atomizer_version": "2.0",
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"optimization_algorithm": "NSGA-II",
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"n_trials": 100,
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"description": "Bracket Stiffness Optimization with AtomizerField Neural Acceleration - Multi-objective optimization of bracket geometry for maximum stiffness and minimum mass"
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}
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}
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{
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"trial_number": 0,
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"timestamp": "2025-11-26T09:51:31.691278",
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"atomizer_study": "bracket_stiffness_optimization_atomizerfield",
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"design_parameters": {
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"support_angle": 38.72700594236812,
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"tip_thickness": 58.52142919229749
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},
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"results": {
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"objectives": {
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"stiffness": 20959.60904717116,
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"mass": 0.15948142745824906
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},
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"constraints": {
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"mass_limit": 0.15948142745824906
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},
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"max_displacement": 0.04771081358194351,
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"feasible": true
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}
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}
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{
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"trial_number": 1,
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"timestamp": "2025-11-26T09:51:38.513064",
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"atomizer_study": "bracket_stiffness_optimization_atomizerfield",
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"design_parameters": {
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"support_angle": 56.59969709057025,
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"tip_thickness": 47.959754525911094
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},
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"results": {
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"objectives": {
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"stiffness": 16381.0655256764,
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"mass": 0.1370984918463113
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},
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"constraints": {
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"mass_limit": 0.1370984918463113
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},
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"max_displacement": 0.061046089977025986,
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"feasible": true
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}
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}
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{
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"trial_number": 2,
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"timestamp": "2025-11-26T09:51:46.479281",
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"atomizer_study": "bracket_stiffness_optimization_atomizerfield",
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"design_parameters": {
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"support_angle": 27.800932022121827,
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"tip_thickness": 34.67983561008608
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},
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"results": {
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"objectives": {
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"stiffness": 8118.567202877005,
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"mass": 0.10631243304453929
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},
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"constraints": {
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"mass_limit": 0.10631243304453929
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},
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"max_displacement": 0.12317444384098053,
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"feasible": true
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}
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}
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{
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"trial_number": 4,
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"timestamp": "2025-11-26T09:52:32.103479",
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"atomizer_study": "bracket_stiffness_optimization_atomizerfield",
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"design_parameters": {
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"support_angle": 50.05575058716044,
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"tip_thickness": 51.242177333881365
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},
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"results": {
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"objectives": {
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"stiffness": 17663.23127979331,
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"mass": 0.14318191031914837
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},
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"constraints": {
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"mass_limit": 0.14318191031914837
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},
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"max_displacement": 0.05661478266119957,
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"feasible": true
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}
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}
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{
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"trial_number": 5,
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"timestamp": "2025-11-26T09:52:39.853142",
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"atomizer_study": "bracket_stiffness_optimization_atomizerfield",
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"design_parameters": {
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"support_angle": 21.02922471479012,
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"tip_thickness": 59.097295564859834
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},
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"results": {
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"objectives": {
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"stiffness": 21249.113101276806,
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"mass": 0.16085535181855637
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},
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"constraints": {
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"mass_limit": 0.16085535181855637
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"max_displacement": 0.04706078767776489,
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"feasible": true
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}
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}
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{
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"trial_number": 6,
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"timestamp": "2025-11-26T09:52:48.595745",
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"atomizer_study": "bracket_stiffness_optimization_atomizerfield",
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"design_parameters": {
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"support_angle": 61.622132040021086,
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},
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"results": {
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"objectives": {
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"stiffness": 13545.870584182874,
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},
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"constraints": {
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"mass_limit": 0.12051879186805532
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},
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"feasible": true
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}
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}
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{
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"trial_number": 8,
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"timestamp": "2025-11-26T09:53:04.968940",
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"atomizer_study": "bracket_stiffness_optimization_atomizerfield",
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"design_parameters": {
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"support_angle": 35.21211214797688,
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"results": {
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"objectives": {
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"constraints": {
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"mass_limit": 0.13060907261079233
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"max_displacement": 0.0700375959277153,
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"feasible": true
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}
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}
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{
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"trial_number": 9,
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"timestamp": "2025-11-26T09:53:14.350855",
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"atomizer_study": "bracket_stiffness_optimization_atomizerfield",
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"design_parameters": {
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"support_angle": 41.59725093210579,
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}
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{
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"trial_number": 10,
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"atomizer_study": "bracket_stiffness_optimization_atomizerfield",
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"design_parameters": {
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"feasible": true
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}
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{
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"trial_number": 11,
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"timestamp": "2025-11-26T09:53:28.628018",
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"atomizer_study": "bracket_stiffness_optimization_atomizerfield",
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"design_parameters": {
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"max_displacement": 0.08552846312522888,
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"feasible": true
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}
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}
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{
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"trial_number": 12,
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"timestamp": "2025-11-26T09:53:41.273539",
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"atomizer_study": "bracket_stiffness_optimization_atomizerfield",
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"design_parameters": {
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"max_displacement": 0.05449121817946434,
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"feasible": true
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}
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}
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{
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"trial_number": 13,
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"timestamp": "2025-11-26T09:53:47.412599",
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"atomizer_study": "bracket_stiffness_optimization_atomizerfield",
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"design_parameters": {
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"support_angle": 29.98368910791799,
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"tip_thickness": 45.42703315240835
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},
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"results": {
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"objectives": {
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"mass": 0.12948175375871773
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"constraints": {
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"mass_limit": 0.12948175375871773
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},
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"max_displacement": 0.07163137942552567,
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"feasible": true
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}
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}
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{
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"trial_number": 14,
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"timestamp": "2025-11-26T09:53:54.464900",
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"atomizer_study": "bracket_stiffness_optimization_atomizerfield",
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"design_parameters": {
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"support_angle": 49.620728443102124,
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},
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"results": {
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"objectives": {
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"stiffness": 9263.79648843576,
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"mass": 0.10717872178299684
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},
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"constraints": {
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"mass_limit": 0.10717872178299684
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},
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"max_displacement": 0.10794710367918015,
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"feasible": true
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}
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}
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{
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"trial_number": 15,
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"timestamp": "2025-11-26T09:54:00.849939",
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"atomizer_study": "bracket_stiffness_optimization_atomizerfield",
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"design_parameters": {
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"support_angle": 50.37724259507192,
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"tip_thickness": 35.115723710618745
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},
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"results": {
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"objectives": {
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"stiffness": 10722.37860287646,
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"mass": 0.11326315567376985
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},
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"constraints": {
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"mass_limit": 0.11326315567376985
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},
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"max_displacement": 0.09326288849115372,
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"feasible": true
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}
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}
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{
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"trial_number": 16,
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"timestamp": "2025-11-26T09:54:06.961559",
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"atomizer_study": "bracket_stiffness_optimization_atomizerfield",
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"design_parameters": {
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"support_angle": 23.252579649263975,
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},
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"results": {
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"objectives": {
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"stiffness": 20932.418895641033,
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"mass": 0.15936133413232823
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},
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"constraints": {
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||||
"mass_limit": 0.15936133413232823
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},
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"max_displacement": 0.047772787511348724,
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"feasible": true
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}
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}
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{
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"trial_number": 17,
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"timestamp": "2025-11-26T09:54:12.905286",
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"atomizer_study": "bracket_stiffness_optimization_atomizerfield",
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"design_parameters": {
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"support_angle": 68.28160165372796,
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"tip_thickness": 54.25192044349383
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},
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"results": {
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"objectives": {
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||||
"stiffness": 19530.746021063354,
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"mass": 0.150481264481965
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},
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"constraints": {
|
||||
"mass_limit": 0.150481264481965
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},
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"max_displacement": 0.05120132118463516,
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"feasible": true
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}
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}
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{
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"trial_number": 18,
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"timestamp": "2025-11-26T09:54:18.777146",
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"atomizer_study": "bracket_stiffness_optimization_atomizerfield",
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"design_parameters": {
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"support_angle": 35.23068845866854,
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"tip_thickness": 32.93016342019152
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},
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"results": {
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"objectives": {
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"stiffness": 7906.796484379188,
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"mass": 0.10460074364438958
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},
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"constraints": {
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"mass_limit": 0.10460074364438958
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},
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"max_displacement": 0.12647347152233124,
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"feasible": true
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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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|
||||
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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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|
||||
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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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||||
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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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||||
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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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||||
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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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||||
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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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|
||||
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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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||||
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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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||||
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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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|
||||
{
|
||||
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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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||||
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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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||||
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|
||||
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||||
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|
||||
}
|
||||
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|
||||
File diff suppressed because it is too large
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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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||||
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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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||||
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||||
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|
||||
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||||
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|
||||
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|
||||
}
|
||||
File diff suppressed because it is too large
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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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||||
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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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||||
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||||
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||||
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||||
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|
||||
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|
||||
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|
||||
File diff suppressed because it is too large
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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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||||
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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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||||
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||||
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|
||||
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||||
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|
||||
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|
||||
}
|
||||
File diff suppressed because it is too large
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@@ -0,0 +1,20 @@
|
||||
{
|
||||
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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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|
||||
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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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||||
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|
||||
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||||
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|
||||
}
|
||||
}
|
||||
File diff suppressed because it is too large
Load Diff
@@ -0,0 +1,20 @@
|
||||
{
|
||||
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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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|
||||
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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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||||
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||||
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||||
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|
||||
}
|
||||
}
|
||||
File diff suppressed because it is too large
Load Diff
@@ -0,0 +1,20 @@
|
||||
{
|
||||
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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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||||
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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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||||
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|
||||
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|
||||
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|
||||
}
|
||||
}
|
||||
Some files were not shown because too many files have changed in this diff Show More
Reference in New Issue
Block a user