sreenivas alapati cg-cnu

General

#How to create a .file or .folder on Windows

There are several ways

Works the same with a file or a directory.

Using Python's built-in defaultdict we can easily define a tree data structure:

def tree(): return defaultdict(tree)

That's it!

	var aws_router = require('./routes/aws');
	app.use('/aws', aws_router);

	//npm install aws-sdk
	//visit http://localhost:3000/aws/table-list

	# You don't need Fog in Ruby or some other library to upload to S3 -- shell works perfectly fine
	# This is how I upload my new Sol Trader builds (http://soltrader.net)
	# Based on a modified script from here: http://tmont.com/blargh/2014/1/uploading-to-s3-in-bash

	S3KEY="my aws key"
	S3SECRET="my aws secret" # pass these in

	function putS3
	{
	path=$1

	'''
	texture image path are relative to the blend file directory. run from command line like this:

	texture=img/2012720989_c.jpg blender -b mug.blend --python texture_change.py -F PNG -s 1 -e 1 -j 1 -t 0 -a
	''''
	import os

	image_file = os.getenv('texture')
	if not image_file:
	image_file="img/2012720989_c.jpg"

	import sys
	from time import sleep
	import smtplib
	import getpass
	from fabric.api import env, prompt, local

	gmail_pw = getpass.getpass("enter your gmail password: ")
	ps_id = prompt("enter process_id: ")
	mysql_user = env.user

	"""
	example: The following JSON document:
	{"maps":[{"id1":"blabla","iscategorical1":"0", "perro":[{"dog1": "1", "dog2": "2"}]},{"id2":"blabla","iscategorical2":"0"}],
	"masks":{"id":"valore"},
	"om_points":"value",
	"parameters":{"id":"valore"}}

	will have the following output:
	{'masks.id': 'valore', 'maps.iscategorical2': '0', 'om_points': 'value', 'maps.iscategorical1': '0',
	'maps.id1': 'blabla', 'parameters.id': 'valore', 'maps.perro.dog2': '2', 'maps.perro.dog1': '1', 'maps.id2': 'blabla'}