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Change priorityQueue to max priorityqueue
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System.out.println(q.poll());
}
}
}
Reference :https://docs.oracle.com/javase/7/docs/api/java/util/PriorityQueue.html#comparator()
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Shuffling a list of objects
...ng sample(a, len(a)) is the solution, using len(a) as the sample size. See https://docs.python.org/3.6/library/random.html#random.sample for the Python documentation.
Here's a simple version using random.sample() that returns the shuffled result as a new list.
import random
a = range(5)
b = rando...
What's the best practice using a settings file in Python? [closed]
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I Found this the most useful and easy to use
https://wiki.python.org/moin/ConfigParserExamples
You just create a "myfile.ini" like:
[SectionOne]
Status: Single
Name: Derek
Value: Yes
Age: 30
Single: True
[SectionTwo]
FavoriteColor=Green
[SectionThree]
FamilyName: Joh...
How to cancel a local git commit
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How do I get Pyflakes to ignore a statement?
... analysis. Here are the changes made in pocket-lint for ignoring pyflakes: https://code.launchpad.net/~adiroiban/pocket-lint/907742/+merge/102882
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How to create a numpy array of all True or all False?
...her arguments as well that can be passed, for documentation on that, check https://docs.scipy.org/doc/numpy/reference/generated/numpy.full.html
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Python add item to the tuple
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jquery save json data object in cookie
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Try this one:
https://github.com/tantau-horia/jquery-SuperCookie
Quick Usage:
create - create cookie
check - check existance
verify - verify cookie value if JSON
check_index - verify if index exists in JSON
read_values - read cookie value...
How to get the list of all installed color schemes in Vim?
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If you are willing to install a plugin, I recommend https://github.com/vim-scripts/CycleColor.
to cycle through all installed colorschemes. Nice way to easily choose a colorscheme.
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python pandas: Remove duplicates by columns A, keeping the row with the highest value in column B
...s well
df.drop_duplicates(subset='A', keep='last')
I referred this from https://pandas.pydata.org/pandas-docs/stable/generated/pandas.DataFrame.drop_duplicates.html
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