| import { | |
| app, | |
| HttpRequest, | |
| HttpResponseInit, | |
| InvocationContext, | |
| output, | |
| } from "@azure/functions"; | |
| const cosmosDBOutput = output.cosmosDB({ | |
| connection: "CosmosDBConnection", |
| source $(rvm 3.1.2 do rvm env --path) |
| /** | |
| * This program finds the difference between two arrays. | |
| * It essentially removes elements from the first array that are present in the second array. | |
| */ | |
| use std::collections::HashSet; | |
| use std::hash::Hash; | |
| use std::iter::FromIterator; | |
| fn array_diff<T: PartialEq + std::clone::Clone>(a: Vec<T>, b: Vec<T>) -> Vec<T> | |
| where |
| ''' | |
| In this program, we implement a simple linear regression ML model | |
| that tries to find weights that will match the input tensor x to | |
| the output tensor y in a multiplication operation | |
| ''' | |
| import torch | |
| x = torch.tensor(1.0) | |
| y = torch.tensor(2.0) |
| find . ! -path "*/node_modules/*" ! -path "*/.git/*" -type f | awk -F. '{print $NF}' | sort | uniq -c |
| ########################### | |
| # Persistent Volume Claim | |
| ########################### | |
| kind: PersistentVolume | |
| apiVersion: v1 | |
| metadata: | |
| name: postgres-pv | |
| namespace: argo | |
| # labels: | |
| # type: local |
| # Definition for a binary tree node. | |
| # class TreeNode: | |
| # def __init__(self, val=0, left=None, right=None): | |
| # self.val = val | |
| # self.left = left | |
| # self.right = right | |
| class Solution: | |
| def widthOfBinaryTree(self, root: Optional[TreeNode]) -> int: | |
| ''' | |
| { |
| class Solution: | |
| def letterCasePermutation(self, s: str) -> List[str]: | |
| output = [] | |
| def recur(ptr, buildup): | |
| if ptr >= len(s): | |
| output.append(buildup) | |
| return | |
| if s[ptr].isalpha(): |
| class Solution: | |
| def spiralOrder(self, matrix: List[List[int]]) -> List[int]: | |
| directions = [(0, 1), (1, 0), (0, -1), (-1, 0)] | |
| ROWS, COLS = len(matrix),len(matrix[0]) | |
| visited = set() | |
| ptr = 0 | |
| pos = (0, 0) | |
| output = [matrix[0][0]] | |
| for _ in range(ROWS * COLS - 1): |
ssh -L localport:localhost:remoteport username@hostip
e.g. ssh -L 9000:localhost:36839 azureuser@52.186.170.39
You can then access the website on your local machine on this url http://localhost:9000
If you need to use a private key file, then do
ssh -i ./path-to-private-key-file -L localport:localhost:remoteport username@hostname