大佬教程收集整理的这篇文章主要介绍了如何在 python 中修复此错误：AttributeError: module 'google.protobuf.descriptor' has no attribute '_internal_create_key'，大佬教程大佬觉得挺不错的，现在分享给大家，也给大家做个参考。
要修复 importError: DLL load Failed: The specifIEd procedure Could not be found. 错误，我 raed ：https://stackoverflow.com/a/53111377/11747148
所以我输入：
pip install protobuf==3.6.0
（我也读过Encountering DLL error in OR Tools pywrapcp
但是我已经安装了 visual studio 2019 redistributables Version 14.28.29334.0 ！我的版本比他们在 Encountering DLL error in OR Tools pywrapcp
中提到的版本更新
而那个解决方案对我不起作用！）
但是，当我再次执行源代码时，发生了新的错误：AttributeError: module 'Google.protobuf.descriptor' has no attribute '_internal_create_key'
为了修复，我在：How to solve "AttributeError: module 'google.protobuf.descriptor' has no attribute '_internal_create_key"?
他们说：
pip install --upgrade protobuf
但它是一个毫无意义的Cicle！
对于第一个他们说降级protobuf 套餐。
对于第二个他们说升级protobuf 包。
我怎样才能摆脱这些错误？
源代码如果你想看：
import Json
import operator
from math import degrees,atan2,sqrt
import random
from ortools.consTraint_solver import pywrapcp
from ortools.consTraint_solver import routIng_enums_pb2
class position:
def __init__(self,x,y):
self.x = x
self.y = y
def __str__(self):
return "(" + str(self.X) + "," + str(self.y) + ") "
def x_coor(self):
return self.x
def y_coor(self):
return self.y
class Customer:
pos = position(-1,-1)
demand = 0
def __init__(self,Name):
self.name = name
def setposition(self,y):
self.pos = position(x,y)
def setDemand(self,d):
self.demand = d
def setAngleWithDepot(self,a):
self.angleWithDepot = a
def __str__(self):
# return str(self.Name) #+ " -> (" + str(self.pos.X) + "," + \
#str(self.pos.y) + ") -> " + str(self.demand)
return "(" + str(self.pos.X) + "," + \
str(self.pos.y) + " )"
def print_tuple(t):
print ("["),for i in t:
print (i),print ("]")
def copy(li):
return [i for i in li]
def get_distance(cus1,cus2):
# EuclIDeian
dist = 0
dist = sqrt(((cus1.pos.x - cus2.pos.X) ** 2) + ((cus1.pos.y - cus2.pos.y) ** 2))
return dist
def calculateDepotAngle(x,y,depot_x,depot_y):
angle = degrees(atan2(y - depot_y,x - depot_X))
bearing = (90 - anglE) % 360
return bearing
def make_Dictionary(routE):
global route_node
route_node = {}
counter = 0
for r in route:
route_node[counter] = r
counter += 1
# for k in route_node.keys():
# print k," ",route_node[k]
def get_route(routE):
final = []
for r in route:
final.append(route_node[r])
return final
def get_demand_route(routE):
route_demand = 0
for c in route:
route_demand += c.demand
return route_demand
def get_cost_route(routE):
route_cost = 0
for i in range(len(routE)- 1):
route_cost += get_distance(route[i],route[i+1])
return route_cost
def print_solution(final_routes):
COST = 0
for r in final_routes:
print_tuple(r)
print (get_demand_route(r))
cost = get_cost_route(r)
print (cost)
COST += cost
print ("@R_172_10586@l Cost = ",COST)
def distance(i,j):
I = route_node[i]
J = route_node[j]
# print "here ",I
# print J
return get_distance(I,J)
def TSP(sizE):
# Create routIng model
route_List = []
if size > 0:
# TSP of size args.tsp_size
# Second argument = 1 to build a single tour (it's a TSp).
# Nodes are indexed from 0 to parser_tsp_size - 1,by default the start of
# the route is node 0.
routIng = pywrapcp.RoutIngModel(size,1,0)
search_parameters = pywrapcp.RoutIngModel.DefaultSearchParameters()
# SetTing first solution heuristic (cheapest addition).
search_parameters.first_solution_strategy = (
routIng_enums_pb2.FirstSolutionStrategy.PATH_CHEApest_ARC)
routIng.SetArcCostEvaluatorOfallVehicles(distancE)
# ForbID node connections (randomly).
rand = random.Random()
rand.seed(0)
assignment = routIng.solve()
if assignment:
# Solution cost.
# print(assignment.objectiveValue())
# Inspect solution.
# Only one route here; otherwise iterate from 0 to routIng.vehicles() - 1
route_number = 0
node = routIng.Start(route_number)
route = ''
while not routIng.IsEnd(nodE):
route += str(nodE) + ' -> '
route_List.append(nodE)
node = assignment.Value(routIng.Nextvar(nodE))
route += '0'
route_List.append(0)
# print(routE)
else:
print('No solution found.')
return -1
return route_List
with open('data36.Json') as inputfile:
data = Json.load(inputfilE)
noOfCustomers = len(data["nodes"])
vehicleCap = data["vehicleCapacity"][0]["1"]
DEPOT = Customer(0)
DEPOT.setposition(data["depot"]["x"],data["depot"]["y"])
DEPOT.setDemand(0)
DEPOT.setAngleWithDepot(0)
Customers = []
for i in range(0,noOfCustomers):
c = Customer(i+1)
c.setposition(data["nodes"][i]["x"],data["nodes"][i]["y"])
c.setDemand(data["nodes"][i]["demand"])
angle = calculateDepotAngle(c.pos.x,c.pos.y,DEPOT.pos.x,DEPOT.pos.y)
c.setAngleWithDepot(anglE)
Customers.append(C)
Customers.sort(key=lambda x: x.angleWithDepot,reverse=falsE)
route_node = {}
clusters = List()
final_routes = List()
tempCluster = List()
cap = 0
temp_Customers = copy(Customers)
while len(temp_Customers):
currCust = temp_Customers.pop(0)
if cap + currCust.demand <= vehicleCap:
tempCluster.append(currCust)
cap += currCust.demand
else:
clusters.append(tempCluster)
tempCluster = List()
cap = 0
tempCluster.append(currCust)
cap += currCust.demand
# print get_distance(DEPOT,Customers[0])
clusters.append(tempCluster)
for c in clusters:
c.insert(0,DEPOT)
# print_tuple(C)
make_Dictionary(C)
route = TSP(len(C))
# print route
route = get_route(routE)
final_routes.append(routE)
print_solution(final_routes)
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