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					@ -92,7 +92,7 @@ class Components :
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									_df = pd.DataFrame(_df,columns=columns)
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									_df = pd.DataFrame(_df,columns=columns)
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									# print (columns)
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									# print (columns)
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									info = {"rows":_df.shape[0],"cols":_df.shape[1], "partition":part_index,"logs":_args['logs'],"num_gpu":2,"part_size":PART_SIZE}
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									info = {"rows":_df.shape[0],"cols":_df.shape[1], "partition":part_index,"logs":_args['logs'],"num_gpu":1,"part_size":PART_SIZE}
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									p = {"args":_args,"data":_df.to_dict(orient="records"),"info":info}
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									p = {"args":_args,"data":_df.to_dict(orient="records"),"info":info}
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									part_index += 1
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									part_index += 1
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									qwriter.write(p)
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									qwriter.write(p)
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					@ -134,7 +134,7 @@ class Components :
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							partition = args['partition'] if 'partition' in args else ''
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							partition = args['partition'] if 'partition' in args else ''
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							log_folder = os.sep.join([log_folder,args['context'],str(partition)])
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							log_folder = os.sep.join([log_folder,args['context'],str(partition)])
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							_args = {"batch_size":10000,"logs":log_folder,"context":args['context'],"max_epochs":150,"column":args['columns'],"id":"person_id","logger":logger}
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							_args = {"batch_size":2000,"logs":log_folder,"context":args['context'],"max_epochs":150,"column":args['columns'],"id":"person_id","logger":logger}
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							_args['max_epochs'] = 150 if 'max_epochs' not in args else int(args['max_epochs'])
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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['num_gpu'] = int(args['num_gpu']) if 'num_gpu' in args else 1 
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							os.environ['CUDA_VISIBLE_DEVICES'] = str(args['gpu']) if 'gpu' in args else '0'
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							os.environ['CUDA_VISIBLE_DEVICES'] = str(args['gpu']) if 'gpu' in args else '0'
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					@ -147,15 +147,18 @@ class Components :
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							reader = args['reader']
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							reader = args['reader']
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							df = reader()
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							df = reader()
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							# bounds = Components.split(df,MAX_ROWS,PART_SIZE)
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							# bounds = Components.split(df,MAX_ROWS,PART_SIZE)
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							if partition != '' and os.path.exists(log_folder):
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							if partition != '' :
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								columns = args['columns']
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								columns = args['columns']
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								df = np.array_split(df[columns].values,PART_SIZE)
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								df = np.array_split(df[columns].values,PART_SIZE)
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								df = pd.DataFrame(df[ int (partition) ],columns = columns)
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								df = pd.DataFrame(df[ int (partition) ],columns = columns)
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								info = {"parition":int(partition),"rows":df.shape[0],"cols":df.shape[0],"part_size":PART_SIZE}
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								logger.write({"module":"generate","action":"partition","input":info})
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							_args['data'] = df
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							_args['data'] = df
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								# _args['data'] = reader()
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								# _args['data'] = reader()
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							#_args['data'] = _args['data'].astype(object)
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							#_args['data'] = _args['data'].astype(object)
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							_args['num_gpu'] = int(args['num_gpu']) if 'num_gpu' in args else 1 
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							_args['num_gpu'] = 1
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							_args['gpu'] = partition
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							_dc = data.maker.generate(**_args) 
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							_dc = data.maker.generate(**_args) 
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							#
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							#
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							# We need to post the generate the data in order to :
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							# We need to post the generate the data in order to :
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					@ -205,7 +208,9 @@ class Components :
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							logger.write({"module":"generate","action":"write","info":info} )
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							logger.write({"module":"generate","action":"write","info":info} )
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						@staticmethod
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						@staticmethod
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						def callback(channel,method,header,stream):
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						def callback(channel,method,header,stream):
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							if stream.decode('utf8') in ['QUIT','EXIT','END'] :
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								channel.close()
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								channel.connection.close()
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							info = json.loads(stream)
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							info = json.loads(stream)
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							logger = factory.instance(type='mongo.MongoWriter',args={'dbname':'aou','doc':SYS_ARGS['context']})
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							logger = factory.instance(type='mongo.MongoWriter',args={'dbname':'aou','doc':SYS_ARGS['context']})
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					@ -214,10 +219,10 @@ class Components :
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							args = info['args']
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							args = info['args']
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							if args['num_gpu'] > 1 :
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							if args['num_gpu'] > 1 :
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								args['gpu'] = int(info['info']['partition']) if info['info']['partition'] == 0 else info['info']['partition'] + 2
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								args['gpu'] = int(info['info']['partition']) if info['info']['partition'] == 0 else info['info']['partition'] + 2
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								args['num_gpu'] = 2
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							else:
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							else:
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								args['gpu'] 	= 0
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								args['gpu'] 	= 0
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								args['num_gpu'] = 1
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							args['num_gpu'] = 1
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							# if int(args['num_gpu']) > 1 and args['gpu'] > 0:
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							# if int(args['num_gpu']) > 1 and args['gpu'] > 0:
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							# 	args['gpu'] = args['gpu'] + args['num_gpu'] if args['gpu'] + args['num_gpu'] < 8 else args['gpu'] #-- 8 max gpus
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							# 	args['gpu'] = args['gpu'] + args['num_gpu'] if args['gpu'] + args['num_gpu'] < 8 else args['gpu'] #-- 8 max gpus
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							args['reader'] = lambda: df
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							args['reader'] = lambda: df
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					@ -242,8 +247,7 @@ if __name__ == '__main__' :
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						args =  (PIPELINE[index])
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						args =  (PIPELINE[index])
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						args = dict(args,**SYS_ARGS)
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						args = dict(args,**SYS_ARGS)
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						args['max_rows'] 	= int(args['max_rows']) 	if 'max_rows' in args else 3
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						args['part_size']	= int(args['part_size']) 	if 'part_size' in args else 4
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						args['logs'] 		= args['logs'] if 'logs' in args else 'logs'
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						args['logs'] 		= args['logs'] if 'logs' in args else 'logs'
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						if 'dataset' not in args :
 | 
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						if 'dataset' not in args :
 | 
				
			
			
		
	
		
		
			
				
					
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							args['dataset'] = 'combined20191004v2_deid'
 | 
					 | 
					 | 
					 | 
							args['dataset'] = 'combined20191004v2_deid'
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