... 13 Answers 13 Active ...

... Sunny 19511 silver badge1313 bronze badges answered Mar 30 '15 at 22:15 user1378912user1378912 ...

...to extract only positive integers, try the following: >>> str = "h3110 23 cat 444.4 rabbit 11 2 dog" >>> [int(s) for s in str.split() if s.isdigit()] [23, 11, 2] I would argue that this is better than the regex example because you don't need another module and it's more readable b...

... 230 Badr, You need to set android:key for the item, Then in your code you can do... Assuming you...

... | edited Sep 30 '19 at 9:58 Jay 17k3131 gold badges102102 silver badges163163 bronze badges ...

...ss watchpoint. So you have to expand them yourself: gdb$ print $ebx $13 = 0x135700 gdb$ rwatch *0x135700+0xec1a04f Hardware read watchpoint 3: *0x135700 + 0xec1a04f gdb$ c Hardware read watchpoint 3: *0x135700 + 0xec1a04f Value = 0xec34daf 0x9527d6e7 in objc_msgSend () Edit: Oh, and by the w...

...king for a way to reliably determine whether C++ code is being compiled in 32 vs 64 bit. We've come up with what we think is a reasonable solution using macros, but was curious to know if people could think of cases where this might fail or if there is a better way to do this. Please note we are try...

... | edited Apr 30 at 7:02 Kaleem Ullah 5,10011 gold badge3636 silver badges4040 bronze badges ...

... | edited Jul 16 '18 at 3:34 XtraSimplicity 4,12011 gold badge2323 silver badges2626 bronze badges ans...

...ing 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"...