def get_list_of_all_vms(Hypervisors):
vmList = Parallel(LOG)
vmList.hosts = [hv.hostname for hv in Hypervisors]
vm_tables = (vmList.start("nova hypervisor-servers"))
all_vms = []
index = 0
for vm_table in vm_tables:
vms = []
lines = vm_table['stdout'].split('\n')
# Logic to return if no VMs on the hypervisor
if len(lines) > 5:
for line in lines[3:len(lines) - 2]:
uuid = line.split(" ")[1]
vm = VirtualMachine(uuid)
# Fetch all the information about the VM from nova
vm.preprocess()
vms.append(vm)
Hypervisors[index].vms = vms
all_vms.extend(vms)
index = index + 1
return all_vms
def __init__(self, game, nnet, args, game_args):
self.args = args
self.game_args = game_args #Game_args object contains information about matrix A and observed vector y. THIS SINGLE GAME ARGS IS USED FOR GENERATING THE A AND y FOR SELF PLAY GAMES!!! ONLY.
self.arena_game_args = Game_args() #object used to generate instances of A and y across all arenas objects in learn
self.game = game
self.nnet = nnet #new neural network wrapper object
# the competitor network. SZ: Our competitor network is just another network which plays the same game as another network
# and we compare which network picks the sparsest vector. The network which picks the sparsest vector is chosen and we remember these weights.
self.pnet = self.nnet.__class__(self.args) #past neural network. self.nnet is a NNetWrapper object, and self.pnet = self.nnet.__class__(self.args) instantiates another instance of the NNetWrapper object with self.args as input. self.pnet and self.nnet are not pointing to the same thing.
#self.skip_nnet = skip_nnet
self.parallel = Parallel(self.args, self.nnet) #initialize parallelization object for parllel search.
self.threaded_mcts = Threading_MCTS(self.args, self.nnet)
self.trainExamplesHistory = [] # history of examples from args.numItersForTrainExamplesHistory latest iterations
self.skipFirstSelfPlay = False # can be overriden in loadTrainExamples()
def reboot_all(VMs):
if VMs:
vmList = Parallel(LOG)
vmList.hosts = [vm.uuid for vm in VMs]
vmList.start("nova reboot")
time.sleep(80)
def start_all(VMs):
if VMs:
vmList = Parallel(LOG)
vmList.hosts = [vm.uuid for vm in VMs]
vmList.start("nova start")
def Curves2_Curve(self, name=None):
if (not name): name = self.Curves2_Name()
self.Calc = True
if (name == "Circle"):
self.Curve = Circle()
elif (name == "Parabola"):
self.Curve = Parabola()
elif (name == "Ellipsis"):
self.Curve = Ellipsis()
elif (name == "Hyperbola"):
self.Curve = Hyperbola()
elif (name == "Descartes"):
self.Curve = Descartes()
elif (name == "Rose"):
self.Curve = Rose()
elif (name == "Superellipse"):
self.Curve = Super()
elif (name == "Cycloid"):
self.Curve = Cycloid()
elif (name == "Trochoid"):
self.Curve = Trochoid()
elif (name == "Hypocycloid"):
self.Curve = Hypocycloid()
elif (name == "Hypotrochoid"):
self.Curve = Hypotrochoid()
elif (name == "Epicycloid"):
self.Curve = Epicycloid()
elif (name == "Epitrochoid"):
self.Curve = Epitrochoid()
elif (name == "Super"):
self.Curve = Super()
elif (name == "LatexTables"):
self.Latex_Curves_Table_Generate()
elif (name == "Parallel"):
self.Curve = Parallel()
self.Curve.Base_Curve()
self.Curve.Run()
else:
self.Calc = False
self.Name = name
if (self.Curves2_Args()):
self.Calc = False
return self.Curve
class Curves2_Names():
def Curves2_Curve(self, name=None):
if (not name): name = self.Curves2_Name()
self.Calc = True
if (name == "Circle"):
self.Curve = Circle()
elif (name == "Parabola"):
self.Curve = Parabola()
elif (name == "Ellipsis"):
self.Curve = Ellipsis()
elif (name == "Hyperbola"):
self.Curve = Hyperbola()
elif (name == "Descartes"):
self.Curve = Descartes()
elif (name == "Rose"):
self.Curve = Rose()
elif (name == "Superellipse"):
self.Curve = Super()
elif (name == "Cycloid"):
self.Curve = Cycloid()
elif (name == "Trochoid"):
self.Curve = Trochoid()
elif (name == "Hypocycloid"):
self.Curve = Hypocycloid()
elif (name == "Hypotrochoid"):
self.Curve = Hypotrochoid()
elif (name == "Epicycloid"):
self.Curve = Epicycloid()
elif (name == "Epitrochoid"):
self.Curve = Epitrochoid()
elif (name == "Super"):
self.Curve = Super()
elif (name == "LatexTables"):
self.Latex_Curves_Table_Generate()
elif (name == "Parallel"):
self.Curve = Parallel()
self.Curve.Base_Curve()
self.Curve.Run()
else:
self.Calc = False
self.Name = name
if (self.Curves2_Args()):
self.Calc = False
return self.Curve
def Curves2_Names(self):
return [
"Circle",
"Parabola",
"Ellipsis",
"Hyperbola",
"Superellipse",
"Cycloid",
"Trochoid",
"Hypocycloid",
"Hypotrochoid",
"Epicycloid",
"Epitrochoid",
"Descartes",
"Rose",
"Super",
"Parallel",
"LatexTables",
]
def Curves2_Name(self):
curve = None
if (self.CGI_Is()):
curve = self.CGI_GET_Get("Curve")
else:
if (len(sys.argv) > 1
and re.search(self.Curves2_Regex() + '$', sys.argv[1])):
curve = sys.argv[1]
return curve
def results_button(app):
parallel = Parallel(app)
parallel.execute(True) # True to execute minimizing window
def confirm_button(app):
parallel = Parallel(app)
parallel.execute()