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Manifest merger failed : uses-sdk:minSdkVersion 14
...o not use dynamic updating.
compile 'com.android.support:support-v4:21.0.0'
}
fixed the issue.
Make sure you're not doing a general inclusion of com.android.support:support-v4:+ or any other support libraries (v7, v13, appcompat, etc), anywhere in your project.
I'd assume the problem is v4...
How to get execution time in rails console?
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edited Jul 20 '19 at 4:28
Jeremy Baker
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Algorithm to generate all possible permutations of a list?
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answered Apr 26 '10 at 1:53
WhirlWindWhirlWind
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How do I get Flask to run on port 80?
I have a Flask server running through port 5000, and it's fine. I can access it at http://example.com:5000
14 Answers
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What are the options for storing hierarchical data in a relational database? [closed]
...ttle for one or the other especially if there are more than, say, a lousy 100,000 nodes or so. Using the push stack method can take a whole day to do the conversion on what MLM'ers would consider to be a small million node hierarchy.
I thought I'd give Celko a bit of competition by coming up with ...
How to delete multiple values from a vector?
I have a vector like: a = c(1:10) and I need to remove multiple values, like: 2, 3, 5
8 Answers
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How to clear the canvas for redrawing
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const context = canvas.getContext('2d');
context.clearRect(0, 0, canvas.width, canvas.height);
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How do multiple clients connect simultaneously to one port, say 80, on a server? [duplicate]
... don't get is how multiple clients can simultaneously connect to say port 80. I know each client has a unique (for their machine) port. Does the server reply back from an available port to the client, and simply state the reply came from 80? How does this work?
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oracle10g 网址收藏 - 数据库(内核) - 清泛网 - 专注C/C++及内核技术
oracle10g 网址收藏载OTN上的这些软件，你需要一个OTN免费帐号，不过如果通过迅雷进行下载，就不用登陆OTN了：Oracle Database 10g Release 2 (10.2.0.1....载OTN上的这些软件，你需要一个OTN免费帐号，不过如果通过迅雷进行下载，就不用登...
What is the most efficient way to create a dictionary of two pandas Dataframe columns?
...Speed comparion (using Wouter's method)
In [6]: df = pd.DataFrame(randint(0,10,10000).reshape(5000,2),columns=list('AB'))
In [7]: %timeit dict(zip(df.A,df.B))
1000 loops, best of 3: 1.27 ms per loop
In [8]: %timeit pd.Series(df.A.values,index=df.B).to_dict()
1000 loops, best of 3: 987 us per loop...