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List submodules in a Git repository

I have a Git repository that has several submodules in it. How do I list the names of all the submodules after git submodule init has been run? ...
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How to save an image to localStorage and display it on the next page?

So, basically, I need to upload a single image, save it to localStorage, then display it on the next page. 7 Answers ...
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How to clear MemoryCache?

I have created a cache using the MemoryCache class. I add some items to it but when I need to reload the cache I want to clear it first. What is the quickest way to do this? Should I loop through all the items and remove them one at a time or is there a better way? ...
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Realistic usage of the C99 'restrict' keyword?

I was browsing through some documentation and questions/answers and saw it mentioned. I read a brief description, stating that it would be basically a promise from the programmer that the pointer won't be used to point somewhere else. ...
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When should I use a composite index?

... You should use a composite index when you are using queries that benefit from it. A composite index that looks like this: index( column_A, column_B, column_C ) will benefit a query that uses those fields for joining, filtering, and sometimes sel...
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Android Crop Center of Bitmap

I have bitmaps which are squares or rectangles. I take the shortest side and do something like this: 9 Answers ...
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How to run an application as “run as administrator” from the command prompt? [closed]

... /savecred /user:administrator "%sysdrive%\testScripts\testscript1.ps1" It saves the password the first time and never asks again. Maybe when you change the administrator password you will be prompted again. share ...
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Display filename before matching line

How can I get grep to display the filename before the matching lines in its output? 6 Answers ...
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How to normalize an array in NumPy?

... If you're using scikit-learn you can use sklearn.preprocessing.normalize: import numpy as np from sklearn.preprocessing import normalize x = np.random.rand(1000)*10 norm1 = x / np.linalg.norm(x) norm2 = normalize(x[:,np.newaxis], axis=0).ravel...
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Cancel/kill window.setTimeout() before it happens

...follow | edited Jan 10 '15 at 0:46 Joshua Pinter 34k1717 gold badges188188 silver badges208208 bronze badges ...