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Rank function in MySQL
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This does not implement the em>x m>ample from the question as it misses the partition by gender part of the analytical function (which "numbers" the rank value per gender not for the overall result)
– a_horse_with_no_name
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What does the fpermissive flag do?
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I em>x m>pect more information than quote manual + "don't use it until you know what you are doing" from the highest voted answer. I don't have to google for this. Which cases of nonconformant code are downgraded em>x m>actly?
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UIView's frame, bounds, center, origin, when to use what?
...e system and bounds is using coordinate of the local view (therefore its m>x m> and y are 0, but not always), but it's still confusing to me when to use what.
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Why is a round-trip conversion via a string not safe for a double?
Recently I have had to serialize a double into tem>x m>t, and then get it back. The value seems to not be equivalent:
3 Answers
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Makefile经典教程（入门必备） - C/C++ - 清泛网移动版 - 专注C/C++及内核技术
Makefile经典教程（入门必备）Linum>x m>_Shell_Classic_tutorialmakefile很重要 什么是makefile？或许很多Winodws的程序员都不知道这个东西，因为那些Windows的IDE都为你做了这个工作，但我觉得要作
makefile。makefile带来的好处就是——“自动化...
Best approach for designing F# libraries for use from both F# and C#
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Daniel already em>x m>plained how to define a C#-friendly version of the F# function that you wrote, so I'll add some higher-level comments. First of all, you should read the F# Component Design Guidelines (referenced already by gradbot). This is...
Understanding generators in Python
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Note: this post assumes Python 3.m>x m> syntam>x m>.†
A generator is simply a function which returns an object on which you can call nem>x m>t, such that for every call it returns some value, until it raises a StopIteration em>x m>ception, signaling that all values have been...
Merging two images in C#/.NET
Simple idea: I have two images that I want to merge, one is 500m>x m>500 that is transparent in the middle the other one is 150m>x m>150.
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Numpy: Divide each row by a vector element
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Here you go. You just need to use None (or alternatively np.newam>x m>is) combined with broadcasting:
In [6]: data - vector[:,None]
Out[6]:
array([[0, 0, 0],
[0, 0, 0],
[0, 0, 0]])
In [7]: data / vector[:,None]
Out[7]:
array([[1, 1, 1],
[1, 1, 1],
[1, 1, 1]])
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