tl;dr - curly braces are used to disambiguate, quotes are used to form a "single word".
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| quicksort :: [Int] -> [Int] | |
| quicksort [] = [] | |
| quicksort [x] = [x] | |
| quicksort xs = | |
| quicksort(less) ++ [pivot] ++ quicksort(greater) | |
| where | |
| m = length xs `div` 2 | |
| pivot = xs!!m | |
| less = [ xs!!i | i <- [0..(length xs)-1], xs!!i <= pivot && i /= m ] | |
| greater = [ xs!!i | i <- [0..(length xs)-1], xs!!i > pivot && i /= m ] |
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| http://en.wikipedia.org/wiki/Animal | |
| http://en.wikipedia.org/wiki/Gnathifera_(phylum) | |
| http://en.wikipedia.org/wiki/Gnathostomulid | |
| http://en.wikipedia.org/wiki/Testis | |
| http://en.wikipedia.org/wiki/Infertility | |
| http://en.wikipedia.org/wiki/Embryo_transfer | |
| http://en.wikipedia.org/wiki/Foal | |
| http://en.wikipedia.org/wiki/Gestation | |
| http://en.wikipedia.org/wiki/Uterus | |
| http://en.wikipedia.org/wiki/Asherman%27s_syndrome |
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| from sys import stdin as d | |
| def dr(): return d.readline().rstrip() | |
| def gr(): r1=int(dr())-1; return [ [ int(s) for s in dr().split() ] for z in [1]*4 ][r1] | |
| nc=int(dr()) | |
| for i in range(nc):r=list(set(gr()).intersection(set(gr())));l=len(r);print ''.join(['Case #',str(i+1),': ',"Volunteer cheated!"if l==0 else"Bad magician!"if l>1 else`r[0]`]) |
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| def quicksort(arr): | |
| if arr == []: | |
| return [] | |
| if len(arr) == 1: | |
| return arr | |
| m = len(arr) / 2 | |
| pivot = arr[m] | |
| less = [ arr[x] for x in range(0, len(arr)) if arr[x] <= pivot and x != m ] | |
| greater = [ arr[x] for x in range(0, len(arr)) if arr[x] > pivot and x != m ] | |
| return quicksort(less) + [pivot] + quicksort(greater) |
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| from sys import stdin | |
| import sys | |
| N = 10 # number of sequences | |
| body = stdin.read() | |
| body = body.split('\n') | |
| body = body[3:len(body)-2] | |
| final_body = [] | |
| for elem in body: |
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| digraph unix { | |
| node [color=lightblue2, style=filled]; | |
| "node1" -> "node2" | |
| "node3" -> "node2" | |
| "node4" -> "node1" | |
| } |
Dirs:
ssh- Contains scripts/data/etc. that should bescped onto remote machines such as Chris's cluster.22- blah
Testing
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| from lasagne.nonlinearities import * | |
| from lasagne.layers import Layer | |
| class SpatialSoftmaxLayer(Layer): | |
| """ | |
| Softmax layer that computes the softmax over pixels in the same location, | |
| i.e., over the channel axis. This layer will automatically use the CuDNN | |
| version of this softmax if it is available. | |
| Parameters |
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