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What is the best way to convert an array to a hash in Ruby
...y keys or values!
Building on @John Topley's popular answer, let's try:
a3 = [ ['apple', 1], ['banana', 2], [['orange','seedless'], 3] ]
h3 = Hash[*a3.flatten]
This throws an error:
ArgumentError: odd number of arguments for Hash
from (irb):10:in `[]'
from (irb):10
The constru...
Is there a NumPy function to return the first index of something in an array?
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13 Answers
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Active
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When is SQLiteOpenHelper onCreate() / onUpgrade() run?
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359
SQLiteOpenHelper onCreate() and onUpgrade() callbacks are invoked when the database is actuall...
Find a file in python
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edited Nov 12 '09 at 19:33
answered Nov 12 '09 at 19:25
N...
Collisions when generating UUIDs in JavaScript?
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35
My best guess is that Math.random() is broken on your system for some reason (bizarre as that s...
Fastest hash for non-cryptographic uses?
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13 Answers
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Error while installing json gem 'mkmf.rb can't find header files for ruby'
...ll ruby2.0-dev
sudo apt-get install ruby2.2-dev
sudo apt-get install ruby2.3-dev
or, generic way:
sudo apt-get install ruby-dev
or
sudo apt-get install ruby`ruby -e 'puts RUBY_VERSION[/\d+\.\d+/]'`-dev
The first link you’ve posted is exactly your case: there is no ruby development...
how to break the _.each function in underscore.js
...s, you could do something convoluted like this (link to JSFiddle):
[1, 2, 3, 4].every(function(n) {
alert(n);
return n !== 3;
});
This will alert 1 through 3, and then "break" out of the loop.
You're using underscore.js, so you'll be pleased to learn that it does provide an every method...
Python UTC datetime object's ISO format doesn't include Z (Zulu or Zero offset)
...etime.utcnow().replace(tzinfo=simple_utc()).isoformat()
'2014-05-16T22:51:53.015001+00:00'
Note that this DOES conform to the ISO 8601 format, which allows for either Z or +00:00 as the suffix for UTC. Note that the latter actually conforms to the standard better, with how time zones are represent...
How do I save and restore multiple variables in python?
... here...
# Saving the objects:
with open('objs.pkl', 'w') as f: # Python 3: open(..., 'wb')
pickle.dump([obj0, obj1, obj2], f)
# Getting back the objects:
with open('objs.pkl') as f: # Python 3: open(..., 'rb')
obj0, obj1, obj2 = pickle.load(f)
If you have a lot of data, you can reduce...