class PSO:
def __init__(self, costFunc, x0, bounds, num_particles, maxiter):
global num_dimensions
num_dimensions = len(x0)
err_best_g = -1 # best error for group
pos_best_g = [] # best position for group
# establish the swarm
swarm = []
for i in range(0, num_particles):
swarm.append(Particle(x0))
# begin optimization loop
i = 0
while i < maxiter:
# print i,err_best_g
# cycle through particles in swarm and evaluate fitness
for j in range(0, num_particles):
swarm[j].evaluate(costFunc)
# determine if current particle is the best (globally)
if swarm[j].err_i < err_best_g or err_best_g == -1:
pos_best_g = list(swarm[j].position_i)
err_best_g = float(swarm[j].err_i)
# cycle through swarm and update velocities and position
for j in range(0, num_particles):
swarm[j].update_velocity(pos_best_g)
swarm[j].update_position(bounds)
i += 1
# print final results
print('FINAL:')
print (pos_best_g)
print (err_best_g)
main()
# read methoud
read = lambda self: self.collection.find({})
# insert methoud
insert = lambda self, name, lname: \
self.collection.insert_one({"name":name, "lname": lname})
# update methoud
update = lambda self, name: self.collection.find_one_and_update(
{"name": "ismail"}, {"$set": {
"name": name
}})
# delete methoud
delete = lambda self, name: \
self.collection.find_one_and_delete({"name": name})
if __name__ == "__main__":
mongo = Mongo()
# read
students = [student for student in mongo.read()]
print(students[::-1])
# inser
# insert = mongo.insert('zouheir', 'salmi')
# print(insert, 'is inserted')
#update
# update = mongo.update('samir')
# print(update, 'is updated')
# delete
# delete = mongo.delete('samir')
# print(delete , "is deleted")
main()
urconv = npsbot.find_element_by_id('yourcon1')
firstv = npsbot.find_element_by_id('firstv1')
wastechcou = npsbot.find_element_by_id('wastechcou1')
chargingtech = npsbot.find_element_by_id('chargingtech1')
# 3 stars
starratting = npsbot.find_element_by_xpath('/html/body/div/div/div/div[2]/form/div/div[1]/div[7]/div[2]/div/div[1]/input')
actions = ActionChains(npsbot)
scalerate = npsbot.find_element_by_id('ratingpremain10')
remarks = npsbot.find_element_by_id('remarksbreak').send_keys('good service')
submit = npsbot.find_element_by_id('submit')
#pyautogui.click(792, 265)
# Do Action on elements
urconv.click()
firstv.click()
wastechcou.click()
chargingtech.click()
#starratting.click()
actions.click(starratting)
actions.perform()
scalerate.click()
time.sleep(1)
submit.click()
time.sleep(2)
except Exception as e:
print(e)
npsbot.quit()
if __name__ == '__manin__': main()
def update_event(self, inp=-1):
self.set_output_val(0, base64.main())