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What are some compelling use cases for dependent method types?

...tside ResourceManager def testHash(r : Resource) = assert(r.hash == "9e47088d") def testDuplicates(r : Resource) = assert(r.duplicates(r)) } trait FileManager extends ResourceManager { type Resource <: File trait File extends BasicResource { def local : Boolean } override def c...
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What is “Service Include” in a csproj file for?

...here this was added: <ItemGroup> <Service Include="{82A7F48D-3B50-4B1E-B82E-3ADA8210C358}" /> </ItemGroup> This inclusion turns out to be generated on purpose by VS2013 if you create an NUnit test project, but forget to tag it as test project, as described in this answer from Mi...
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Cartesian product of x and y array points into single array of 2D points

... kennytmkennytm 451k9292 gold badges980980 silver badges958958 bronze badges 1 ...
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Create a custom View by inflating a layout?

... answered Dec 1 '10 at 20:48 chubbsondubschubbsondubs 33.9k2222 gold badges9595 silver badges132132 bronze badges ...
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Is there a way to cause git-reflog to show a date alongside each entry?

...oth? – Marco Eckstein Jul 9 '14 at 10:23 9 @Marco it seems you would have to use a custom format:...
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Reset the database (purge all), then seed a database

... 280 I use rake db:reset which drops and then recreates the database and includes your seeds.rb file....
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Matplotlib scatterplot; colour as a function of a third variable

... import matplotlib.pyplot as plt # Generate data... x = np.random.random(10) y = np.random.random(10) # Plot... plt.scatter(x, y, c=y, s=500) plt.gray() plt.show() Or, if you'd prefer a wider range of colormaps, you can also specify the cmap kwarg to scatter. To use the reversed version of a...
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fork() branches more than expected?

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Get all child views inside LinearLayout at once

...earLayout ll = … final int childCount = ll.getChildCount(); for (int i = 0; i < childCount; i++) { View v = ll.getChildAt(i); // Do something with v. // … } share | improve...
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What is the difference between 'log' and 'symlog'?

...de pyplot.ion() # Draw the grid lines pyplot.grid(True) # Numbers from -50 to 50, with 0.1 as step xdomain = numpy.arange(-50,50, 0.1) # Plots a simple linear function 'f(x) = x' pyplot.plot(xdomain, xdomain) # Plots 'sin(x)' pyplot.plot(xdomain, numpy.sin(xdomain)) # 'linear' is the default mod...