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#!/usr/bin/env python3
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SQL = SQL.replace(':dataset',args['dataset']) #+ " LI "
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# _args['max_epochs'] = 150 if 'max_epochs' not in args else int(args['max_epochs'])
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# _args['num_gpu'] = int(args['num_gpu']) if 'num_gpu' in args else 1
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# _args['gpu'] = args['gpu'] if 'gpu' in args else 0
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_args['gpu'] = 0
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# performing basic analytics on the synthetic data generated (easy to quickly asses)
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#
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channel.close()
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channel.connection.close()
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DATA = pd.read_csv(args['file']) ;
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# generator.generate(args)
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else:
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generator.generate(args)
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# Components.generate(args)
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elif 'listen' in args :
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#
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# This will start a worker just in case to listen to a queue
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else:
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