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How can I sort arrays and data in PHP?
...te a comparison function. That function takes two elements and must return 0 if these elements are considered equal, a value lower than 0 if the first value is lower and a value higher than 0 if the first value is higher. That's all that's needed:
function cmp(array $a, array $b) {
if ($a['foo']...
Sort a list by multiple attributes?
...|
edited Apr 24 '18 at 22:05
smci
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answered Nov...
Git Extensions: Win32 error 487: Couldn't reserve space for cygwin's heap, Win32 error 0
...
Dyin
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answered Aug 29 '13 at 6:03
Greg HewgillGreg Hewg...
Why is January month 0 in Java Calendar?
In java.util.Calendar , January is defined as month 0, not month 1. Is there any specific reason to that ?
16 Answers
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How do write IF ELSE statement in a MySQL query
...
150
You probably want to use a CASE expression.
They look like this:
SELECT col1, col2, (case when...
Initialising an array of fixed size in python [duplicate]
...sked.
– samplebias
Aug 25 '14 at 21:08
3
This meets the requirements of the question because you ...
A weighted version of random.choice
...
Since version 1.7.0, NumPy has a choice function that supports probability distributions.
from numpy.random import choice
draw = choice(list_of_candidates, number_of_items_to_pick,
p=probability_distribution)
Note that probabi...
Optional Parameters with C++ Macros
...rd trick to count the number of arguments to a macro.
enum
{
plain = 0,
bold = 1,
italic = 2
};
void PrintString(const char* message, int size, int style)
{
}
#define PRINT_STRING_1_ARGS(message) PrintString(message, 0, 0)
#define PRINT_STRING_2_ARGS(message, size) ...
Ruby on Rails and Rake problems: uninitialized constant Rake::DSL
...
A tweet from DHH earlier. Rake .9.0 breaks Rails and several other things, you need to:
gem "rake", "0.8.7"
in your Gemfile.
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improve this answer
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How to count the number of true elements in a NumPy bool array
...xample:
>>> import numpy as np
>>> boolarr = np.array([[0, 0, 1], [1, 0, 1], [1, 0, 1]], dtype=np.bool)
>>> boolarr
array([[False, False, True],
[ True, False, True],
[ True, False, True]], dtype=bool)
>>> np.sum(boolarr)
5
Of course, that is ...