大约有 47,000 项符合查询结果(耗时:0.0820秒) [XML]

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How can I request the vibrate permission?

... = (Vibrator) getSystemService(Context.VIBRATOR_SERVICE); // Vibrate for 300 milliseconds v.vibrate(300); For a more creative pattern try the star wars theme =D v.vibrate(new long[]{0, 500, 110, 500, 110, 450, 110, 200, 110, 170, 40, 450, 110, 200, 110, 170, 40, 500}, -1); ...
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How do I split a string with multiple separators in javascript?

... | edited Mar 16 '09 at 19:09 answered Mar 16 '09 at 11:30 ...
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Get nodes where child node contains an attribute

... answered Sep 22 '09 at 1:07 laviniolavinio 22.3k44 gold badges5050 silver badges6969 bronze badges ...
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What is the `zero` value for time.Time in Go?

...the following print statement: fmt.Println(time.Time{}) The output is: 0001-01-01 00:00:00 +0000 UTC For the sake of completeness, the official documentation explicitly states: The zero value of type Time is January 1, year 1, 00:00:00.000000000 UTC. ...
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brew install gcc too time consuming

...SmithTim Smith 5,16211 gold badge2121 silver badges3030 bronze badges 3 ...
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How can I implode an array while skipping empty array items?

...ode('-', array_filter($array)); Obviously this will not work if you have 0 (or any other value that evaluates to false) in your array and you want to keep it. But then you can provide your own callback function. share ...
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bower automatically update bower.json

I run the following commands using bower 1.0.0: 1 Answer 1 ...
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How to drop columns by name in a data frame

... answered Mar 8 '11 at 15:03 jubajuba 41k1111 gold badges9696 silver badges109109 bronze badges ...
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writing some characters like '

... answered Jul 2 '10 at 15:13 reecereece 6,87711 gold badge2121 silver badges2222 bronze badges ...
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Detect if a NumPy array contains at least one non-numeric value?

...ng and will work regardless of shape. numpy.isnan(myarray).any() Edit: 30x faster: import timeit s = 'import numpy;a = numpy.arange(10000.).reshape((100,100));a[10,10]=numpy.nan' ms = [ 'numpy.isnan(a).any()', 'any(numpy.isnan(x) for x in a.flatten())'] for m in ms: print " %.2f s" ...