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Forewords

Installing the nvidia driver on Fedora has been a painful experience for me. If I don’t get it wrong, I have been trying since F26!

I will not touch on bumblebee. I will instead use 3472564110 to utilize the driver.

This article serves as a reminder for myself on what did I do to make things work for my Intel/nvidia hybrid laptop. It might hopefully help other people as well.

继续阅读“Installing nvidia driver on Fedora 29”

玩了局妖妖梦六面Practice,0残见三分咲,然后赫然发现history里面我还收过一次三分咲(

lambda in Python: is it returning multiple values?

To begin with let’s just have look at the old school of lambda in Python.

As we know, lambda x: return x**2 is exactly equivalent to

def squared(x): return x**2

Now look at this

>>> f1 = lambda x,y,z: x+1, y+1, z+1
>>> print(f1(1,1,1))

What will you get on the screen? A tuple of (2, 2, 2)? No. You get an error instead.

Traceback (most recent call last):
  File "<pyshell#7>", line 1, in 
    print(f1(1,1,1))
TypeError: 'tuple' object is not callable

Now that the “returning part” of lambda is covering the contents before comma only, let’s explicitly add the brackets:

>>> f1 = lambda x,y,z: (x+1, y+1, z+1)
>>> print(f1(1,1,1))
(2, 2, 2)

Things begin to become clearer now, but what is the ‘tuple’ in the wrong example? It’s f1. Have a look at this:

>>> y = 10
>>> z = 20
>>> f1 = lambda x,y,z: x+1, y+1, z+1
>>> type(f1)<class 'tuple'>>>> print(f1)(<function <lambda> at 0x7feb222116a8>, 11, 21)

This time the lambda becomes something like def _func(x, y, z): return x+1 – only returns one value and now takes useless y and z as its arguments. You can confirm by:

>>> print(f1[0](2,-10,-20))
3

All done!

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As noted in Python 3 documention, behaviors of +, -, *, etc. can be redefined.

Specially, I would like to take notes on some special yet common methods.

__repr__ method

This method is called when you apply print on the instance. Could be useful when debugging class related problems.

__enter__, __exit__ methods

Those two methods are key components of a context manager. Refer to /jeffknupp.com/blog/2016/03/07/python-with-context-managers/ to get a sense on how to manage the fragile resouces with context manager.