def init_name_region(name_data: Dict[str, int], man_judge: int):
"""
初始化性别名字随机权重
Keyword arguments:
name_data -- 名字数据
man_judge -- 类型校验(0:男,1:女,2:姓)
"""
region_list = value_handle.get_region_list(name_data)
if man_judge == 0:
cache_contorl.boys_region_list = region_list
cache_contorl.boys_region_int_list = list(map(int, region_list))
elif man_judge == 1:
cache_contorl.girls_region_list = region_list
cache_contorl.girls_region_int_list = list(map(int, region_list))
else:
cache_contorl.family_region_list = region_list
cache_contorl.family_region_int_list = list(map(int, region_list))
new_npc_data.BodyFat = dir_data["BodyFat"]
if "Chest" in dir_data:
new_npc_data.Chest = dir_data["Chest"]
if "MotherTongue" in dir_data:
new_npc_data.MotherTongue = dir_data["MotherTongue"]
return new_npc_data
random_npc_max = int(game_config.random_npc_max)
random_teacher_proportion = int(game_config.proportion_teacher)
random_student_proportion = int(game_config.proportion_student)
age_weight_data = {
"Teacher": random_teacher_proportion,
"Student": random_student_proportion,
}
age_weight_regin_data = value_handle.get_region_list(age_weight_data)
age_weight_regin_list = list(map(int, age_weight_regin_data.keys()))
age_weight_max = sum(
[int(age_weight_data[age_weight]) for age_weight in age_weight_data])
def init_random_npc_data() -> list:
"""
生成所有随机npc的数据模板
"""
cache_contorl.random_npc_list = []
for i in range(random_npc_max):
create_random_npc(i)
def create_random_npc(id) -> dict:
def init_phase_course_hour():
"""
初始化各班级课时
"""
phase_course_time = text_loading.get_text_data(
constant.FilePath.PHASE_COURSE_PATH, "CourseTime"
)
primary_weight = text_loading.get_text_data(
constant.FilePath.PHASE_COURSE_PATH, "PrimarySchool"
)
junior_middle_weight = text_loading.get_text_data(
constant.FilePath.PHASE_COURSE_PATH, "JuniorMiddleSchool"
)
senior_high_weight = text_loading.get_text_data(
constant.FilePath.PHASE_COURSE_PATH, "SeniorHighSchool"
)
now_weight_list = (
primary_weight + junior_middle_weight + senior_high_weight
)
all_class_hour_data = {}
phase_index = 0
for phase in now_weight_list:
phase_weight_regin = value_handle.get_region_list(phase)
weight_max = 0
weight_max = sum(map(int, phase_weight_regin.keys()))
class_hour_data = {}
class_hour_max = 0
if phase_index <= 5:
class_hour_max = phase_course_time["PrimarySchool"]
elif phase_index <= 8:
class_hour_max = phase_course_time["JuniorMiddleSchool"]
else:
class_hour_max = phase_course_time["SeniorHighSchool"]
class_hour_data = {
phase_weight_regin[region]: math.ceil(
class_hour_max * (int(region) / weight_max)
)
for region in phase_weight_regin
}
now_class_hour_max = sum(class_hour_data.values())
while now_class_hour_max != class_hour_max:
for course in class_hour_data:
if now_class_hour_max == class_hour_max:
break
elif (
class_hour_data[course] > 1
and now_class_hour_max > class_hour_max
):
class_hour_data[course] -= 1
now_class_hour_max -= 1
elif now_class_hour_max < class_hour_max:
class_hour_data[course] += 1
now_class_hour_max += 1
more_hour = 0
while 1:
for course in class_hour_data:
if more_hour > 0 and class_hour_data[course] < 14:
class_hour_data[course] += 1
more_hour -= 1
elif more_hour > 0 and class_hour_data[course] > 14:
more_hour += class_hour_data[course] - 14
class_hour_data[course] -= class_hour_data[course] - 14
if more_hour == 0:
break
all_class_hour_data[phase_index] = class_hour_data
phase_index += 1
cache_contorl.course_data["ClassHour"] = all_class_hour_data
init_phase_course_hour_experience()