Removed useless imports

clase_base.py

@@ -1,74 +0,0 @@
-import random
-import time
-
-settings = {
-    "empresas": ["BBVA", "Santander"]
-}
-
-class BaseNetworkAgent:
-
-    def __init__(self, *args, **kwargs):
-        super().__init__(*args, **kwargs)
-        self.id = random.random()
-
-    @property
-    def env(self):
-        class T(object):
-            pass
-
-        temp = T()
-        temp.now = time.time()
-        return temp
-
-
-def agentes_a_json(agentes):
-    final = {}
-    for agente in agentes:
-        for stamp, attrs in self._attrs.items():
-            for a in attrs:
-                if a not in final:
-                   final[a] = {}
-                final[a][stamp] = attrs[a]
-    return final
-
-class ComportamientoBase(BaseNetworkAgent):
-    def __init__(self, *args, **kwargs):
-        self._attrs = {}
-
-    @property
-    def attrs(self):
-        now = self.env.now
-        if now not in self._attrs:
-            self._attrs[now] = {}
-        return self._attrs[now]
-
-    @attrs.setter
-    def attrs(self, value):
-        self._attrs[self.env.now] = value
-
-    def run(self):
-        while True:
-            self.step(self.env.now)
-            #yield self.env.timeout(settings.timeout)
-
-    def step(self, now):
-        pass
-
-    def a_json(self):
-        final = {}
-        for stamp, attrs in self._attrs.items():
-            for a in attrs:
-                if a not in final:
-                   final[a] = {}
-                final[a][stamp] = attrs[a]
-        return final
-
-class NuevoComportamiento(ComportamientoBase):
-
-    def __init__(self, *args, **kwargs):
-        super().__init__(*args, **kwargs)
-        self.empresas = settings["empresas"]
-
-    def step(self, now):
-        for i in self.empresas:
-            self.attrs['sentimiento_empresa_%s' % i] = random.random()

models.py

@@ -1,12 +1,5 @@
-from nxsim import NetworkSimulation
 from nxsim import BaseNetworkAgent
-from nxsim import BaseLoggingAgent
-from random import randint
-from pprint import pprint
-from matplotlib import pyplot as plt
 import random
-import numpy as np
-import networkx as nx
 import settings
 
 settings.init()
@@ -16,7 +9,7 @@ settings.init()
 ##############################
 def init():
     global networkStatus
-    networkStatus={} # Dict that will contain the status of every agent in the network
+    networkStatus = {}  # Dict that will contain the status of every agent in the network
 
 sentimentCorrelationNodeArray=[]
 for x in range(0, settings.number_of_nodes):
@@ -223,13 +216,11 @@ class SentimentCorrelationModel(ComportamientoBase):
 
         if(num<anger_prob):
 
-
             self.state['id'] = 1
             sentimentCorrelationNodeArray[self.id][self.env.now]=1
             self.time_awareness[self.state['id']-1] = self.env.now
         elif (num<joy_prob+anger_prob and num>anger_prob):
 
-
             self.state['id'] = 2
             sentimentCorrelationNodeArray[self.id][self.env.now]=2
             self.time_awareness[self.state['id']-1] = self.env.now

soil.py

@@ -1,10 +1,6 @@
-#from clase_base import *
 from models import *
 from nxsim import NetworkSimulation
-from nxsim import BaseNetworkAgent
 from nxsim import BaseLoggingAgent
-import random
-import numpy as np
 import networkx as nx
 import settings
 import models