for item in iterable: self.items_list.append(item) __update = update # private copy of original update() method class MappingSubclass(Mapping): def update(self, keys, values): # provides new signature for update() # but does not break __init__() for item in zip(keys, values): self...
classMapping:def__init__(self, iterable):self.items_list = []self.__update(iterable)defupdate(self, iterable):foriteminiterable:self.items_list.append(item) __update = update# private copy of original update() methodclassMappingSubclass(Mapping):defupdate(self, keys, values):# provides new...
模块是包含 Python 代码的文件，包是包含模块的目录。可以使用 import 语句导入模块和包。# 例子：创建一个简单的模块和包# 模块 my_module.py# def my_function():# print("Hello from my module!")# 包 my_package 包含 my_module# 在另一个文件中使用： from my_package import my_module 10. 类（...
class LeNet2(nn.Module): def __init__(self, classes): def forward(self, x): net = LeNet2(classes=2019) print(net) # 初始化优化器 optimizer = torch.optim.SGD(model.parameters(), lr=0.001, momentum=0.9) # 保存整个模型 torch.save(net, "./save_net/model.pkl") # 保存模型参数 ...
__metaclass__ = upper_attr# this will affect all classes in the moduleclassFoo():# global __metaclass__ won't work with "object" though# but we can define __metaclass__ here instead to affect only this class# and this will work with "object" childrenbar ='bip' ...
def find_classes_in_module(self, mod_ref): test_classes = [] for module in mod_ref: #微信关注公众号iTesting,加入万人测试团 cls_members = inspect.getmembers(module, inspect.isclass) for cls in map(lambda x: x[1], cls_members): for name, func in list(cls.__dict__.items()): if...
classes.Default is toNOTobfuscate.--obfuscate-classes Obfuscateclassnames.--obfuscate-functions Obfuscatefunctionand method names.--obfuscate-variables Obfuscate variable names.--obfuscate-import-methods Obfuscate globally-imported mouledmethods(e.g.'Ag=re.compile').--obfuscate-builtins Obfuscate built-ins...
arcpy.ListFeatureClasses函数的性能测试的代码如下: import arcpy import time data=r"C:\MapPrintTest\data_test\testgdb.gdb" point=r"C:\MapPrintTest\data_test\test.gdb\gps222" arcpy.env.workspace=data for i in range(0,500): name="point"+str(i) arcpy.FeatureClassToFeatureClass_conversion(...
start = time.time()for i in range(10):list_1 = np.array(np.arange(1,10000))list_1 = np.sin(list_1)print("使用Numpy用时{}s".format(time.time()-start)) 从如下运行结果,可以看到使用 Numpy 库的速度快于纯 Python 编写的代码: ...
答案是元类(Metaclasses)。大部分常见的基础元类都是type。当输入一个参数时,type将简单的返回输入对象的类型,这就不涉及元类。然而当输入三个参数时,type将扮演元类的角色,基于输入参数创建一个类并返回。输入参数相当简单:类名,父类及其参数的字典。后面两者可以为空,来看一个例子:...