我用Java编写了以下代码块: public mainFunction() {
...
if (!functionA(data1, data2)) {
return new Left<>(Reason.INVALID_RULE);
}
if (!functionB(data1, data2)) {
return new Left<>(FAILURE.INVALID_ID);
}
...there are a few if clauses like above...
}
private boolean functionA(Data1 data1,
class a_class:
def __getattr__(self, name):
# if called by hasattr(a, 'b') not by a.b
# print("I am called by hasattr")
print(name)
a = a_class()
a.b_attr
hasattr(a, 'c_attr')
请看一下__getattr__内部的评论。我该怎么做?我使用Python 3,原因是我想动态创建属性,但我不想在使用hasattr时这样做。
最新的版本似乎只有2.6版。
我面对的是ImportError: DLL load failed: The specified module could not be found.,周围找不到任何解决方案,有人知道吗?
有没有其他的内存分析器可用于python2.7?
错误回溯:
>>> import guppy
>>> from guppy import hpy
>>> h = hpy()
Traceback (most recent call last):
File "<pyshell#3>", lin
我正在尝试使用元类做一些事情,但是我不理解我的python代码的结果。 import sys
class Meta(type):
a = None
b = None
def __call__(cls, *args, **kwargs):
name = args[0]
if getattr(cls, name) is None:
setattr(cls, name, super(Meta, cls).__call__(*args, **kwargs))
return getattr(cls, n
我正试着在colab上使用张力板。我设法使它发挥作用,但不是所有的命令。add_graph和add_scalar可以工作,但是当我试图运行add_embedding时,我得到了以下错误:
AttributeError: module 'tensorflow._api.v1.io.gfile' has no attribute 'get_filesystem'
这是有关的守则(我想);
import os
from torch.utils.tensorboard import SummaryWriter
writer = SummaryWriter(log_dir
import tensorflow_hub as hub
我知道错误了
Traceback (most recent call last):
File "<pyshell#1>", line 1, in <module>
import tensorflow_hub as hub
File "E:\python64bit\lib\site-packages\tensorflow_hub\__init__.py", line 88, in <module>
from tensorflow_hub.e
我有一个基于gstreamer和dbus 的python音频播放器。它可以在pygst下工作,我想把它移植到gstreamer 1上。下面是如何它将会工作,但是:
File "/home/pat1/svn/autoradio/autoradio/autoplayer/player.py", line 826, in position
except(Gst.QueryError):
File "/usr/lib64/python2.7/site-packages/gi/module.py", line 316, in __getattr__
return geta
如何用Python3和继承重写__getattr__?
当我使用以下命令时:
class MixinA:
def __getattr__(self, item):
# Process item and return value if known
if item == 'a':
return 'MixinA'
# If it is unknown, pass it along to give
# a chance to another class to handle it
我在实现属性和__getattr__时遇到了困难,因此当发生错误时,就会正确地报告错误。这是我的MWE (python 3.6):
class A:
@property
def F(self):
return self.moo # here should be an error
@property
def G(self):
return self.F
def __getattr__(self, name):
print('call of __getattr__ with name ='