bparanj

from collections import defaultdict
import heapq
class Solution:
    def maxProbability(self, n: int, edges: List[List[int]], succProb: List[float], start: int, end: int) -> float:
        '''
        Input
            n - number of nodes
            edges - (u,v) for an undirected edge.
            succProb - edge[i]'s weight
            start - start node

bparanj

require 'aws-sdk-s3'  # v2: require 'aws-sdk'

ACCESS_KEY_ID = ""
SECRET_ACCESS_KEY = ""
REGION_ID = "us-east-1"
BUCKET_NAME = "bucket-name"

def uploadS3
  credentials = Aws::Credentials.new(
                                     ACCESS_KEY_ID,

bparanj

#!/usr/bin/env bash

# Configuration
SERVER='10.20.30.40'
DEPLOY_TO='/Users/simon/apps/some_app/staging/'
EXCLUDE='*.sqlite3 *.swp .DS_Store .git/ tmp/ log/ public/uploads/ uploads/'
DRY_RUN=false
DEPLOY_GEM_PATH='/Users/simon/.rvm/gems/ruby-1.9.2-p180'
MYSQL2_BUNDLE='/Users/simon/apps/some_app/staging/vendor/bundle/ruby/1.9.1/gems/mysql2-0.2.13/lib/mysql2/mysql2.bundle'

bparanj

#!/bin/bash

# deploy.sh

# Put this script on your production server and make it executable with chmod
# +x. 

# Set the deploy_dir variable to the path on the production server to
# deployment directory. The script assumes the deployment directory is a git
# clone of the codebase from an upstream git repo. This script also assumes