More translated variables

models
JesusMSM 8 years ago
parent d3d7e1d4c9
commit 127a220fa6

@ -67,7 +67,7 @@ def init():
tweet_probability_users = 0.44
tweet_relevant_probability = 0.25
tweet_probability_about = [0.15, 0.15, 0.15]
sentiment_about = [0, 0, 0] #Valores por defecto
sentiment_about = [0, 0, 0] #Default values
##Enterprises
tweet_probability_enterprises = [0.3, 0.3, 0.3]

@ -51,18 +51,18 @@ for time in range(0, settings.max_time):
real_time = time * settings.timeout
activity= False
for x in range(0, settings.number_of_nodes):
if attribute_plot in models.networkStatus["agente_%s" % x]:
if real_time in models.networkStatus["agente_%s" % x][attribute_plot]:
if models.networkStatus["agente_%s" % x][attribute_plot][real_time] == 1: ##Representar infectados
if attribute_plot in models.networkStatus["agent_%s" % x]:
if real_time in models.networkStatus["agent_%s" % x][attribute_plot]:
if models.networkStatus["agent_%s" % x][attribute_plot][real_time] == 1: ##Infected
value_infectados += 1
activity = True
if models.networkStatus["agente_%s" % x][attribute_plot][real_time] == 0: ##Representar neutrales
if models.networkStatus["agent_%s" % x][attribute_plot][real_time] == 0: ##Neutral
value_neutral += 1
activity = True
if models.networkStatus["agente_%s" % x][attribute_plot][real_time] == 2: ##Representar cured
if models.networkStatus["agent_%s" % x][attribute_plot][real_time] == 2: ##Cured
value_cured += 1
activity = True
if models.networkStatus["agente_%s" % x][attribute_plot][real_time] == 3: ##Representar vaccinated
if models.networkStatus["agent_%s" % x][attribute_plot][real_time] == 3: ##Vaccinated
value_vaccinated += 1
activity = True
@ -89,14 +89,14 @@ plt.savefig('control_model.png')
for x in range(0, settings.number_of_nodes):
for empresa in models.networkStatus["agente_%s"%x]:
for attribute in models.networkStatus["agent_%s"%x]:
emotionStatusAux=[]
for tiempo in models.networkStatus["agente_%s"%x][empresa]:
for t_step in models.networkStatus["agent_%s"%x][attribute]:
prec = 2
output = math.floor(models.networkStatus["agente_%s"%x][empresa][tiempo] * (10 ** prec)) / (10 ** prec) #Para tener 2 decimales solo
emotionStatusAux.append((output,tiempo,None))
output = math.floor(models.networkStatus["agent_%s"%x][attribute][t_step] * (10 ** prec)) / (10 ** prec) #2 decimals
emotionStatusAux.append((output,t_step,None))
attributes = {}
attributes[empresa] = emotionStatusAux
attributes[attribute] = emotionStatusAux
G.add_node(x, attributes)

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