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Apply .gitignore on an existing repository already tracking large number of files
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This answer solved my problem:
First of all, commit all pending changes.
Then run this command:
git rm -r --cached .
This removes everything from the index, then just run:
git add .
Commit it:
git commit -m ".gitignore is now working"
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Node.js - Find home directory in platform agnostic way
... recent answer, the preferred way is now simply:
const homedir = require('os').homedir();
[Original Answer]: Why not use the USERPROFILE environment variable on win32?
function getUserHome() {
return process.env[(process.platform == 'win32') ? 'USERPROFILE' : 'HOME'];
}
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Doing something before program exit
...t this works great for normal termination of the script, but it won't get called in all cases (e.g. fatal internal errors).
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How does one remove an image in Docker?
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Try docker rmi node. That should work.
Seeing all created containers is as simple as docker ps -a.
To remove all existing containers (not images!) run docker rm $(docker ps -aq)
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How do you get the list of targets in a makefile?
...ed rake a bit (a Ruby make program), and it has an option to get a list of all the available targets, eg
20 Answers
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Capture characters from standard input without waiting for enter to be pressed
...oo much on the terminal used that may be connected with stdin (they are usually line buffered). You can, however use a library for that:
conio available with Windows compilers. Use the _getch() function to give you a character without waiting for the Enter key. I'm not a frequent Windows developer...
Pythonic way to check if a list is sorted or not
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Actually we are not giving the answer anijhaw is looking for. Here is the one liner:
all(l[i] <= l[i+1] for i in xrange(len(l)-1))
For Python 3:
all(l[i] <= l[i+1] for i in range(len(l)-1))
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Retrieving the output of subprocess.call() [duplicate]
How can I get the output of a process run using subprocess.call() ?
7 Answers
7
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Use numpy array in shared memory for multiprocessing
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To add to @unutbu's (not available anymore) and @Henry Gomersall's answers. You could use shared_arr.get_lock() to synchronize access when needed:
shared_arr = mp.Array(ctypes.c_double, N)
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def f(i): # could be anything numpy accepts as an index such another numpy array
with ...
Finding Number of Cores in Java
...ly available to the JVM (at startup I guess). Using CPU affinity the user/OS can restrict the number of "cores" a JVM sees. You can even do it on a running JVM but I'm not too sure how this influence availableProcessors().
– SyntaxT3rr0r
Jan 21 '11 at 16:17
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