大约有 10,000 项符合查询结果（耗时：0.0237秒） [XML]
How to make lists contain only distinct element in Python? [duplicate]
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More generic version, more readable, generator based, adds the ability to transform values with a function:
def f(seq, idfun=None): # Order preserving
return list(_f(seq, idfun))
def _f(seq, idfun=None):
''' Originally proposed by Andrew Dalke '''
seen = set()
if idfun is None:
for ...
How do you normalize a file path in Bash?
I want to transform /foo/bar/.. to /foo
22 Answers
22
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Binary search (bisection) in Python
...o use for common searching tasks. The following five functions show how to transform them into the standard lookups for sorted lists:
def index(a, x):
'Locate the leftmost value exactly equal to x'
i = bisect_left(a, x)
if i != len(a) and a[i] == x:
return i
raise ValueError...
Sending images using Http Post
...();
} catch (IOException e) {
e.printStackTrace();
}
If you need to do transformations on the image, you'll want to create a Drawable instead of a Bitmap.
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orderBy multiple fields in Angular
...and numbers.
@Pipe({name: 'orderBy'})
export class OrderBy implements PipeTransform {
transform(array: any[], filter: any): any[] {
if(typeof filter === 'string') {
return this.sortAray(array, filter)
} else {
for (var i = filter.length -1; i >= 0; i--...
Secure random token in Node.js
...n', shortToken);
}
This works out of the box in Node 7 without any Babel transformations
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sed or awk: delete n lines following a pattern
... column, and in the 2nd the number of lines to skip. The first sed command transforms the file into a sed script that performs the corresponding matching and skipping; that script is provided via -f and stdin (-) to the 2nd sed command. The 2nd sed command operates on a sample ad-hoc input file form...
A CSS selector to get last visible div
...the style parameter. Real quick: [1] width and height can be set to 0, [2] transform scale can be 0, [3] and we can place it out of the viewable area.
– Markus
May 11 '16 at 15:25
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Counting DISTINCT over multiple columns
...with GROUP BY may introduce a couple of additional challenges to the query transformation to achieve the desired output (e.g. when the original query already had GROUP BY or HAVING clauses...)
– Lukas Eder
Dec 17 '13 at 9:08
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pandas DataFrame: replace nan values with average of columns
...nan, strategy='mean')
imputer = imputer.fit(X[:, 1:3])
X[:, 1:3] = imputer.transform(X[:, 1:3])
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