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Python (and Python C API): __new__ versus __init__
The question I'm about to ask seems to be a duplicate of Python's use of __new__ and __init__? , but regardless, it's still unclear to me exactly what the practical difference between __new__ and __init__ is.
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STL中map容器使用自定义key类型报错详解 - C/C++ - 清泛网 - 专注C/C++及内核技术
...定义一个结构体来试试：[cpp]view plaincopystructa{char*pName;intm_a;} 引言
STL的map容器中，key的类型是不是随意的呢？
实践
编写测试代码
定义一个结构体来试试：
struct a
{
char* pName;
int m_a;
};
...
map<a, int> mp;
a ...
Get exception description and stack trace which caused an exception, all as a string
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See the traceback module, specifically the format_exc() function. Here.
import traceback
try:
raise ValueError
except ValueError:
tb = traceback.format_exc()
else:
tb = "No error"
finally:
print tb
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__lt__ instead of __cmp__
Python 2.x has two ways to overload comparison operators, __cmp__ or the "rich comparison operators" such as __lt__ . The rich comparison overloads are said to be preferred, but why is this so?
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What's the difference between __PRETTY_FUNCTION__, __FUNCTION__, __func__?
What's the difference between __PRETTY_FUNCTION__ , __FUNCTION__ , __func__ , and where are they documented? How do I decide which one to use?
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Difference between __getattr__ vs __getattribute__
I am trying to understand when to use __getattr__ or __getattribute__ . The documentation mentions __getattribute__ applies to new-style classes. What are new-style classes?
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A simple explanation of Naive Bayes Classification
...sitive =
Prob(Test is positive|Disease) * P(Disease)
_______________________________________________________________
(scaled by) Prob(Testing Positive, with or without the disease)
Now, all this was just preamble, to get to Naive Bayes.
Getting to Naive Bayes'
So far, ...
Shards and replicas in Elasticsearch
... elasticsearch will create 5 primary shards that will contain your data:
____ ____ ____ ____ ____
| 1 | | 2 | | 3 | | 4 | | 5 |
|____| |____| |____| |____| |____|
Every time you index a document, elasticsearch will decide which primary shard is supposed to hold that docu...
Understanding the difference between __getattr__ and __getattribute__
I am trying to understand the difference between __getattr__ and __getattribute__ , however, I am failing at it.
4 Answe...
Is there a Python caching library?
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From Python 3.2 you can use the decorator @lru_cache from the functools library.
It's a Last Recently Used cache, so there is no expiration time for the items in it, but as a fast hack it's very useful.
from functools import lru_cache
@lru_cache(maxsize=256)
def f(x):
...