slots

“TypeError: native Qt signal is not callable” with custom slots

梦想的初衷 提交于 2019-11-28 05:27:10
问题 The Environment I am running an Anaconda environment with Python 3.4. I am using PyCharm as my IDE. The Objective I am trying to make a pyQt4 QPushButton connect to a custom function: button.clicked().connect([method reference or whatever]) Attempts I have tried using the pyqtSlot() decorator but when I run the code it throws: NameError: name 'pyqtSlot' is not defined I have used the following imports which should include that decorator: from PyQt4 import QtCore, QtGui I also attempted to

Python: How does inheritance of __slots__ in subclasses actually work?

巧了我就是萌 提交于 2019-11-28 03:22:47
In the Python data model reference section on slots there is a list of notes on using __slots__ . I am thoroughly confused by the 1st and 6th items, because they seem to be contradicting each other. First item: When inheriting from a class without __slots__ , the __dict__ attribute of that class will always be accessible, so a __slots__ definition in the subclass is meaningless. Sixth item: The action of a __slots__ declaration is limited to the class where it is defined. As a result, subclasses will have a __dict__ unless they also define __slots__ (which must only contain names of any

Cannot inherit from multiple classes defining __slots__?

为君一笑 提交于 2019-11-27 14:39:30
问题 A certain situation in Python recently alarmed me, and its reason is still not completely clear after a little research. The following class definitions appear to work flawlessly and will produce what is intended: class A: __slots__ = 'a', 'b' class B(A): __slots__ = () class C(A): __slots__ = () class D(B, C): __slots__ = () These are four classes arranged in a diamond inheritance pattern. However, a somewhat similar pattern is not allowed. The following class definitions seem as though they

Why am I getting an error about my class defining __slots__ when trying to pickle an object?

不打扰是莪最后的温柔 提交于 2019-11-27 05:49:13
问题 I'm trying to pickle an object of a (new-style) class I defined. But I'm getting the following error: >>> with open('temp/connection.pickle','w') as f: ... pickle.dump(c,f) ... Traceback (most recent call last): File "<stdin>", line 2, in <module> File "/usr/lib/python2.5/pickle.py", line 1362, in dump Pickler(file, protocol).dump(obj) File "/usr/lib/python2.5/pickle.py", line 224, in dump self.save(obj) File "/usr/lib/python2.5/pickle.py", line 331, in save self.save_reduce(obj=obj, *rv)

Measure Object Size Accurately in Python - Sys.GetSizeOf not functioning

限于喜欢 提交于 2019-11-27 05:19:56
I am trying to accurately/definitively find the size differences between two different classes in Python. They are both new style classes, save for one not having slots defined. I have tried numerous tests to determine their size difference, but they always end up being identical in memory usage. So far I have tried sys.GetSizeOf(obj) and heapy's heap() function, with no positive results. Test code is below: import sys from guppy import hpy class test3(object): def __init__(self): self.one = 1 self.two = "two variable" class test4(object): __slots__ = ('one', 'two') def __init__(self): self

How does __slots__ avoid a dictionary lookup?

寵の児 提交于 2019-11-27 02:41:04
问题 I've heard that __slots__ makes objects faster by avoiding a dictionary lookup. My confusion comes from Python being a dynamic language. In a static language, we avoid a dictionary lookup for a.test by doing a compile-time optimisation to save the index in the instruction we run. Now, in Python, a could just as easily be another object that has a dictionary or a different set of attributes. It seems like we'll still have to do a dictionary lookup - the only difference seems to be that we only

Measure Object Size Accurately in Python - Sys.GetSizeOf not functioning

♀尐吖头ヾ 提交于 2019-11-26 11:33:28
问题 I am trying to accurately/definitively find the size differences between two different classes in Python. They are both new style classes, save for one not having slots defined. I have tried numerous tests to determine their size difference, but they always end up being identical in memory usage. So far I have tried sys.GetSizeOf(obj) and heapy\'s heap() function, with no positive results. Test code is below: import sys from guppy import hpy class test3(object): def __init__(self): self.one =

Usage of __slots__?

只谈情不闲聊 提交于 2019-11-25 21:53:38
问题 What is the purpose of __slots__ in Python — especially with respect to when I would want to use it, and when not? 回答1: In Python, what is the purpose of __slots__ and what are the cases one should avoid this? TLDR: The special attribute __slots__ allows you to explicitly state which instance attributes you expect your object instances to have, with the expected results: faster attribute access. space savings in memory. The space savings is from Storing value references in slots instead of _