data-maker/pipeline.py

#!/usr/bin/env python3
		SQL = SQL.replace(':dataset',args['dataset']) #+ " LIMIT 1000 "
_args['num_gpu'] = int(args['num_gpu']) if 'num_gpu' in args else 1 
				p = {"args":_args,"data":_df.to_dict(orient="records"),"input":info}
		"""
	# 	df = pd.DataFrame(df[ int (partition) ],columns = columns)
		else:
		# @TODO: Fix
		# 	There is an inconsistency in column/columns ... fix this shit!
		#
		channel.close()
		channel.connection.close()
			jobs = []