lens

class Solution { public int lengthLongestPath(String input) { String [] arr=input.split("\n"); int [] lens= new int[arr.length]; int max=0; for(String s:arr){ int lastBackT= s.lastIndexOf("\t"); int level = lastBackT+1; int parentLen = level==0? 0: lens[level-1]+1; int nameLen = s.length()-lastBackT-1; lens[level] = parentLen+nameLen; if(s.contains(".")) { max = Math.max(max,lens[level]); } } return max; } } The first thought is DFS, however, we're able to deal it with array 来源： https://www.cnblogs.com/zg1005/p/11987302.html

I'm trying to build lenses for records which have the same field names. Along with that, I'm trying to "wrap/extend" these base records and want the same field names to work for the wrapped/extended records (which, I believe, classy lenses do). How do I get the following to work: -- Data types for context of the code snippet below data Download = Download { userId :: UserId ,gid :: Gid ,logId :: LogId ,parentId :: Maybe DownloadId ,createdAt :: UTCTime ,updatedAt :: UTCTime } data File = File { downloadId :: DownloadId ,fpath :: String ,len :: Int ,createdAt :: UTCTime ,updatedAt :: UTCTime }

I would like to correct lens distortions on a series of images. All the images were captured with the camera fixed in place, and a checkerboard image from the same set up is also available. After detecting the corners of the distorted checkerboard image, I would like to compute the radial distortion coefficients so that I can correct the images. Similar to the estimateCameraParameters function. Ideally, I would like to use a method similar to Matlab camera calibration however this does not seem to work for cases where only a single calibration image is available (and the images were all

I'm interested in getting a zooming functionality for my monad transformer stack which is defined the following way: newtype Awesome a = Awesome (StateT AwesomeState (ExceptT B.ByteString IO) a) deriving (Functor, Applicative, Monad , MonadIO, MonadError B.ByteString , MonadState AwesomeState) My AwesomeState is deeply nested record, so using zoom would greatly help me in updating some of the fields. But the problem is that zoom doesn't work out of the box for my newtype. Couldn't match type ‘Control.Lens.Internal.Zoom.Zoomed Awesome’ with ‘Control.Lens.Internal.Zoom.Zoomed m0’ I found an

一、冒泡排序 arr = [5,3,1,2,4] n = len(arr) for i in range(n - 1): for j in range(n - 1 - i): print(i,j) if arr[j] > arr[j + 1]: arr[j], arr[j + 1] = arr[j + 1], arr[j] print(arr) print(arr) arr为要排序的列表 该代码实现的分析过程 这是我在本子上的具体推导过程。 需要注意的是，嵌套for循环，会先把子循环里的i执行到条件结束后再进行外循环的i值变量 即当i = 0的时候， j第一次循环为0. j=0的代码执行结束后，j = 1，i=0不变 然后j=2，j=3， 因为range（n-1-i），n=5，即为range(4) ---->0,1,2,3。 执行结束后，i 才会变成1.再次 进入j循环。 j = range(n-1-1) = range(3) ----->0,1,2 具体的推到过程图上很清晰易懂 二、移动数组 输入 ：[1,2,3,4,5,6,7] k = 3 输出 : [5,6,7,1,2,3,4] k = 3 arr = [1, 2, 3, 4, 5, 6, 7] lens = len(arr) k = k % lens #因为K不一定小于lens，所以当k>lens时，位移k

Inspired by a question on polymorphic function between ADTs I'm trying to create isomorphisms between multiple (not just 2) types, so that every time I need an isomorphic but not the same type, I can sprinkle my code with some convert . Suppose I have 3 ADTs: data AB = A | B deriving (Show) data CD = C | D deriving (Show) data EF = E | F deriving (Show) Using lens I can implement 2 isomorphisms between AB and CD, and CD and EF: {-# LANGUAGE MultiParamTypeClasses #-} class Isomorphic a b where convert :: Iso' a b instance Isomorphic AB CD where convert = iso ab2cd cd2ab where ab2cd A = C ab2cd