chore: import upstream snapshot with attribution
This commit is contained in:
wehub-resource-sync
Executable
+100
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#!/usr/bin/env python3
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"""
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Dataset Pipeline Builder
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Production-grade tool for senior computer vision engineer
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"""
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import os
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import sys
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import json
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import logging
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import argparse
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from pathlib import Path
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from typing import Dict, List, Optional
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from datetime import datetime
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logging.basicConfig(
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level=logging.INFO,
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format='%(asctime)s - %(levelname)s - %(message)s'
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)
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logger = logging.getLogger(__name__)
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class DatasetPipelineBuilder:
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"""Production-grade dataset pipeline builder"""
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def __init__(self, config: Dict):
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self.config = config
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self.results = {
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'status': 'initialized',
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'start_time': datetime.now().isoformat(),
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'processed_items': 0
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}
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logger.info(f"Initialized {self.__class__.__name__}")
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def validate_config(self) -> bool:
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"""Validate configuration"""
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logger.info("Validating configuration...")
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# Add validation logic
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logger.info("Configuration validated")
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return True
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def process(self) -> Dict:
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"""Main processing logic"""
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logger.info("Starting processing...")
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try:
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self.validate_config()
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# Main processing
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result = self._execute()
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self.results['status'] = 'completed'
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self.results['end_time'] = datetime.now().isoformat()
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logger.info("Processing completed successfully")
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return self.results
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except Exception as e:
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self.results['status'] = 'failed'
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self.results['error'] = str(e)
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logger.error(f"Processing failed: {e}")
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raise
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def _execute(self) -> Dict:
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"""Execute main logic"""
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# Implementation here
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return {'success': True}
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def main():
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"""Main entry point"""
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parser = argparse.ArgumentParser(
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description="Dataset Pipeline Builder"
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)
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parser.add_argument('--input', '-i', required=True, help='Input path')
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parser.add_argument('--output', '-o', required=True, help='Output path')
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parser.add_argument('--config', '-c', help='Configuration file')
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parser.add_argument('--verbose', '-v', action='store_true', help='Verbose output')
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args = parser.parse_args()
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if args.verbose:
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logging.getLogger().setLevel(logging.DEBUG)
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try:
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config = {
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'input': args.input,
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'output': args.output
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}
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processor = DatasetPipelineBuilder(config)
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results = processor.process()
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print(json.dumps(results, indent=2))
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sys.exit(0)
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except Exception as e:
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logger.error(f"Fatal error: {e}")
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sys.exit(1)
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if __name__ == '__main__':
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main()
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Executable
+100
@@ -0,0 +1,100 @@
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#!/usr/bin/env python3
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"""
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Inference Optimizer
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Production-grade tool for senior computer vision engineer
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"""
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import os
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import sys
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import json
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import logging
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import argparse
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from pathlib import Path
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from typing import Dict, List, Optional
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from datetime import datetime
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logging.basicConfig(
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level=logging.INFO,
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format='%(asctime)s - %(levelname)s - %(message)s'
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)
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logger = logging.getLogger(__name__)
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class InferenceOptimizer:
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"""Production-grade inference optimizer"""
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def __init__(self, config: Dict):
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self.config = config
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self.results = {
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'status': 'initialized',
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'start_time': datetime.now().isoformat(),
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'processed_items': 0
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}
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logger.info(f"Initialized {self.__class__.__name__}")
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def validate_config(self) -> bool:
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"""Validate configuration"""
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logger.info("Validating configuration...")
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# Add validation logic
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logger.info("Configuration validated")
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return True
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def process(self) -> Dict:
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"""Main processing logic"""
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logger.info("Starting processing...")
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try:
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self.validate_config()
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# Main processing
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result = self._execute()
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self.results['status'] = 'completed'
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self.results['end_time'] = datetime.now().isoformat()
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logger.info("Processing completed successfully")
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return self.results
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except Exception as e:
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self.results['status'] = 'failed'
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self.results['error'] = str(e)
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logger.error(f"Processing failed: {e}")
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raise
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def _execute(self) -> Dict:
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"""Execute main logic"""
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# Implementation here
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return {'success': True}
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def main():
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"""Main entry point"""
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parser = argparse.ArgumentParser(
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description="Inference Optimizer"
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)
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parser.add_argument('--input', '-i', required=True, help='Input path')
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parser.add_argument('--output', '-o', required=True, help='Output path')
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parser.add_argument('--config', '-c', help='Configuration file')
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parser.add_argument('--verbose', '-v', action='store_true', help='Verbose output')
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args = parser.parse_args()
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if args.verbose:
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logging.getLogger().setLevel(logging.DEBUG)
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try:
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config = {
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'input': args.input,
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'output': args.output
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}
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processor = InferenceOptimizer(config)
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results = processor.process()
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print(json.dumps(results, indent=2))
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sys.exit(0)
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except Exception as e:
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logger.error(f"Fatal error: {e}")
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sys.exit(1)
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if __name__ == '__main__':
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main()
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Executable
+100
@@ -0,0 +1,100 @@
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#!/usr/bin/env python3
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"""
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Vision Model Trainer
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Production-grade tool for senior computer vision engineer
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"""
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import os
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import sys
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import json
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import logging
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import argparse
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from pathlib import Path
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from typing import Dict, List, Optional
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from datetime import datetime
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logging.basicConfig(
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level=logging.INFO,
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format='%(asctime)s - %(levelname)s - %(message)s'
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)
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logger = logging.getLogger(__name__)
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class VisionModelTrainer:
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"""Production-grade vision model trainer"""
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def __init__(self, config: Dict):
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self.config = config
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self.results = {
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'status': 'initialized',
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'start_time': datetime.now().isoformat(),
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'processed_items': 0
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}
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logger.info(f"Initialized {self.__class__.__name__}")
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def validate_config(self) -> bool:
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"""Validate configuration"""
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logger.info("Validating configuration...")
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# Add validation logic
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logger.info("Configuration validated")
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return True
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def process(self) -> Dict:
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"""Main processing logic"""
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logger.info("Starting processing...")
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try:
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self.validate_config()
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# Main processing
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result = self._execute()
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self.results['status'] = 'completed'
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self.results['end_time'] = datetime.now().isoformat()
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logger.info("Processing completed successfully")
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return self.results
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except Exception as e:
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self.results['status'] = 'failed'
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self.results['error'] = str(e)
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logger.error(f"Processing failed: {e}")
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raise
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def _execute(self) -> Dict:
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"""Execute main logic"""
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# Implementation here
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return {'success': True}
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def main():
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"""Main entry point"""
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parser = argparse.ArgumentParser(
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description="Vision Model Trainer"
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)
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parser.add_argument('--input', '-i', required=True, help='Input path')
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parser.add_argument('--output', '-o', required=True, help='Output path')
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parser.add_argument('--config', '-c', help='Configuration file')
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parser.add_argument('--verbose', '-v', action='store_true', help='Verbose output')
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args = parser.parse_args()
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if args.verbose:
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logging.getLogger().setLevel(logging.DEBUG)
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try:
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config = {
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'input': args.input,
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'output': args.output
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}
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processor = VisionModelTrainer(config)
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results = processor.process()
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print(json.dumps(results, indent=2))
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sys.exit(0)
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except Exception as e:
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logger.error(f"Fatal error: {e}")
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sys.exit(1)
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if __name__ == '__main__':
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main()
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