Annotation of /ea/submit_sites.py

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1 :	agomez	1	'''
2 :			Created on 22/02/2012
3 :
4 :			@author: R. Valin
5 :			Envio a todos los sites
6 :			'''
7 :			#import matplotlib.pyplot as plt
8 :			import time
9 :			#import os
10 :			import random
11 :			#from exp.ea
12 :			import experiment_type as expt
13 :			#from exp.ea
14 :			import ea_bonfire as ea
15 :
16 :
17 :
18 :			"""################################################################
19 :			# Envio de experimentos #
20 :			###################################################################"""
21 :			#Descripcion del trabajo en Json
22 :			exp={'description': 'Experiment description',
23 :			'duration': 120,
24 :			'name': 'My Experiment',
25 :			'resources': [{'compute': {'name': 'JSON-COMPUTE-TEST',
26 :			'description': 'A description of the compute.',
27 :			'instanceType': 'small',
28 :			'locations': ['fr-inria'],
29 :			'resources':[{'storage': '@BonFIRE Debian Squeeze v3'},{'network':'@BonFIRE WAN'}]}}]}
30 :
31 :
32 :
33 :
34 :			#Indicamos la lista de sites a la que queremos enviar, la duracion de los experimentos
35 :			# y nos devuelve una lista con stings en json con la definicion del experimento
36 :			locations=['be-ibbt','fr-inria','uk-hplabs','uk-epcc']
37 :
38 :			duration = 120
39 :			locations = ['fr-inria']
40 :			exp, info_instance, info_storage, info_location = expt.json_exp(locations, duration)
41 :
42 :			multi = 10
43 :
44 :			for i in exp:
45 :			print i
46 :			m=str(i)
47 :			for j in range(10):
48 :			#save(locations)
49 :			location=info_location[m]
50 :			instance=info_instance[m]
51 :			store=info_storage[m]
52 :			ea.ea_bf(i,instance,store,location)
53 :			#time.sleep(float(130))

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