本文整理汇总了Python中configuration.Configuration.get_num_classes方法的典型用法代码示例。如果您正苦于以下问题：Python Configuration.get_num_classes方法的具体用法？Python Configuration.get_num_classes怎么用？Python Configuration.get_num_classes使用的例子？那么, 这里精选的方法代码示例或许可以为您提供帮助。您也可以进一步了解该方法所在类configuration.Configuration的用法示例。
在下文中一共展示了Configuration.get_num_classes方法的2个代码示例，这些例子默认根据受欢迎程度排序。您可以为喜欢或者感觉有用的代码点赞，您的评价将有助于系统推荐出更棒的Python代码示例。
示例1: get_room_by_id
# 需要导入模块: from configuration import Configuration [as 别名]
# 或者: from configuration.Configuration import get_num_classes [as 别名]
This is testing the get_room_by_id() function in configuration.py
It checks to see if the correct room name, seat number, and lab is returned
Input: config file (ID: 2)
Expected output: Unknown
"""
room = config.get_room_by_id(2)
print str(room.name) + " " + str(room.seat_num) + " " + str(room.lab)
"""
This is testing the get_num_classes() function in configuration.py
It checks to see if the correct number of classes is returned
Input: config file(26 classes)
Expected output: 26
"""
num = config.get_num_classes()
print num
"""
This is testing the get_class_by_course() function
Input: config file
Expected output: 2
This is testing the get_professor_by_id() function
Input: t_class.professor
Expected output: (Professor IDs) 2 and 3
This is testing the print_professor() function
Input: prof
Expected output: (2, Red) (3, Philip)
"""
t_class = config.get_class_by_course(2)示例2: __init__
# 需要导入模块: from configuration import Configuration [as 别名]
# 或者: from configuration.Configuration import get_num_classes [as 别名]
#.........这里部分代码省略.........
#Class is not found
else:
search_chromosome = None
return search_chromosome
def algorithm(self):
"""
Runs the schedule algorithm. Flow of algorithm:
read in data
initialize chromosome
get_overall_fitness
while overall fitness != 1.0
get crossover points
perform crossover
get mutation size
perform mutations
get overall fitness
return schedule
"""
#Loads the config for the rooms/classes
self.get_config()
#Creates the first chromosome
self.init_chromosomes()
print "BOOBS"
self.get_overall_fitness()
#Seeds the random with system time
random.seed()
generations = 1
print "TEST!!!"
while self.get_overall_fitness() < 1.0 and generations <= 12500:
#Get random points for crossover
start_crossover = random.randint(0,self.config.get_num_classes())
end_crossover = random.randint(0,self.config.get_num_classes())
#Checks to see which crossover point is greater, Dont want to go
#From a greater value to lesser value
if start_crossover <= end_crossover:
self.perform_crossover(start_crossover,end_crossover)
else:
self.perform_crossover(end_crossover, start_crossover)
#Gets random mutation size and performs mutations
self.mutation_size = random.randint(0,len(self.chromo_list))
self.perform_mutations()
generations += 1
#Updates the console with Number of Generations and Perfect Chromos
print_string_generation = "Generations: " + str(generations)
print_string_best = " Overall Fitness: " + str(self.get_overall_fitness())
PrintStatic(print_string_generation + print_string_best)
print "\nDone! Took " + str(generations) + " Generations"
def print_chromosomes(self):
"""
Prints the chromo_list to console
"""
count = 0
while count < len(self.chromo_list):
#Gets the list at counter
chromo_list = self.chromo_list[count]
if type(chromo_list) is ListType:
len_list = len(chromo_list)
if len_list > 1: