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from collections import namedtuple
from functools import partial

from shapely.affinity import translate
from shapely.geometry.multipolygon import MultiPolygon
from shapely.geometry.point import Point
from shapely.geometry.polygon import Polygon
from shapely.ops import transform

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def build_nsidc_url(aws_url):
    """
    This function is a hack to translate v1 URLS from ITS_LIVE hosted in AWS to URLs hosted at NSIDC
    It will translate 
    
    https://its-live-data.s3.us-west-2.amazonaws.com/velocity_image_pair/landsatOLI/v01/32627/LE07_L1TP_230006_20020604_20170129_01_T1_X_LE07_L1TP_230006_20010703_20170204_01_T1_G0240V01_P053.nc
    
    into
    
    https://n5eil01u.ecs.nsidc.org/DP4/MEASURES/NSIDC-0775.001/2001.07.03/LE07L1TP2300062002060401T1_LE07L1TP2300062001070301T1_32627_G0240V01_P053.nc

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EULAS

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Keybase proof

I hereby claim:

• I am betolink on github.
• I am betolink (https://keybase.io/betolink) on keybase.
• I have a public key ASCrY4QgiSsT5118Gwg4zNt8PZ15xR9Lr-no1-NYaiSONwo

To claim this, I am signing this object:

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NSIDC Cryohub @ AWS

A guide to deploy Jupyterhub using Kubernetes on AWS.

1. Overview
2. Cloud resources
3. Setup AWS credentials and environment variables
4. Configure a Kubernetes cluster on AWS
5. Deploy Jupyterhub to the cluster using Helm (PENDING)
   • config.yaml
   • authentication