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Pass a PHP array to a JavaScript function [duplicate]
I am trying to get a PHP array variable into a JavaScript variable.
4 Answers
4
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sed one-liner to convert all uppercase to lowercase?
... > output.txt for GNU sed works fine too
– Asfand Qazi
Apr 13 '17 at 8:49
1
@ekkis OSX is usin...
How can I set the PHP version in PHPStorm?
Is it possible to set the PHP version value, say 4.0+ and have PHPStorm highlight functions that wouldn't work with the oldest version? For example, for PHP4 this should highlight static function etc. I have a PHP installation on my PC but I don't want to install an older PHP version for every sma...
Non-recursive depth first search algorithm
...:
def next_sibling(node):
try:
i = node.parent.child_nodes.index(node)
return node.parent.child_nodes[i+1]
except (IndexError, AttributeError):
return None
share
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What does PHP keyword 'var' do?
...'t been able to find the answer neither through web search engines, nor on php.net. Please just direct me to where I can read about this, if you haven't got time to explain.
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How to trigger XDebug profiler for a command line PHP script?
...your scripts but only for a few special cases without always changing your PHP configuration.
8 Answers
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How do I resolve git saying “Commit your changes or stash them before you can merge”?
...e name> <remote branch name> (or) switch branch
git stash apply --index
The first command stores your changes temporarily in the stash and removes them from the working directory.
The second command switches branches.
The third command restores the changes which you have stored in the s...
What is the equivalent of MATLAB's repmat in NumPy
I would like to execute the equivalent of the following MATLAB code using NumPy: repmat([1; 1], [1 1 1]) . How would I accomplish this?
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PHP: How to send HTTP response code?
I have a PHP script that needs to make responses with HTTP response codes (status-codes), like HTTP 200 OK, or some 4XX or 5XX code.
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How to calculate a logistic sigmoid function in Python?
...s log1p.
In general, the multinomial logistic sigmoid is:
def nat_to_exp(q):
max_q = max(0.0, np.max(q))
rebased_q = q - max_q
return np.exp(rebased_q - np.logaddexp(-max_q, np.logaddexp.reduce(rebased_q)))
(However, logaddexp.reduce could be more accurate.)
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