大约有 40,000 项符合查询结果（耗时：0.0976秒） [XML]
Prevent flicker on webkit-transition of webkit-transform [duplicate]
...
answered Oct 13 '10 at 8:21
rpittingrpitting
3,21511 gold badge1616 silver badges1010 bronze badges
...
How do I create a list of random numbers without duplicates?
I tried using random.randint(0, 100) , but some numbers were the same. Is there a method/module to create a list unique random numbers?
...
Appropriate datatype for holding percent values?
What is the best datatype for holding percent values ranging from 0.00% to 100.00%?
5 Answers
...
C++: Rounding up to the nearest multiple of a number
...ger math.
int roundUp(int numToRound, int multiple)
{
if (multiple == 0)
return numToRound;
int remainder = numToRound % multiple;
if (remainder == 0)
return numToRound;
return numToRound + multiple - remainder;
}
Edit: Here's a version that works with negative n...
Decreasing for loops in Python impossible?
...
220
for n in range(6,0,-1):
print n
# prints [6, 5, 4, 3, 2, 1]
...
CSS background opacity with rgba not working in IE 8
...
Daniel Mendel
8,35111 gold badge2020 silver badges3737 bronze badges
answered Oct 20 '10 at 7:44
MatTheCatMatTheCat
...
How do you get the width and height of a multi-dimensional array?
...
answered Nov 23 '10 at 19:52
Reed CopseyReed Copsey
509k6868 gold badges10671067 silver badges13241324 bronze badges
...
Using .NET, how can you find the mime type of a file based on the file signature not the extension
...
answered Sep 12 '08 at 9:44
Steve MorganSteve Morgan
12.4k22 gold badges3838 silver badges4949 bronze badges
...
Does opacity:0 have exactly the same effect as visibility:hidden
... in the taborder
collapse events taborder
opacity: 0 No Yes Yes
visibility: hidden No No No
visibility: collapse Yes* No No
display: none Yes No No
* Yes inside a table element, otherwise No.
...
How does numpy.histogram() work?
...qual width) of each bar.
In this example:
np.histogram([1, 2, 1], bins=[0, 1, 2, 3])
There are 3 bins, for values ranging from 0 to 1 (excl 1.), 1 to 2 (excl. 2) and 2 to 3 (incl. 3), respectively. The way Numpy defines these bins if by giving a list of delimiters ([0, 1, 2, 3]) in this example...