John Readey jreadey

## read_wtk_conus.ipynb

      
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                jreadey
                / read_wtk_conus.ipynb
            
            
              Created
              June 18, 2019 04:04
            
          
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## tasmax_local.ipynb

      
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                jreadey
                / tasmax_local.ipynb
            
            
              Created
              July 12, 2019 00:42
            
          
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## tasmax_avg.ipynb
{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Multiple Writer/Multiple Reader (MWMR) Example\n",
    "\n",
    "The Goddard Satellite-based Surface Turbulent Fluxes (GSSTF) Version 3 Dataset is a product of the NASA MEaSURES project. The dataset consists of 7,850 files in the HDF-EOS5 format. Each file contains one-day worth of data in the Equidistant Cylindrical projection on the global 0.25×0.25 degree grid cell. The dataset's temporal coverage is from July 1, 1987 to January 1, 2009. More information is available at https://disc.gsfc.nasa.gov/datasets/GSSTF_NCEP_V3/summary.\n",
    "\n",

## check_domain.ipynb

      
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                jreadey
                / check_domain.ipynb
            
            
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              November 13, 2019 16:33
            
          
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## ca30_s3fs_smoke_test.ipynb

      
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                jreadey
                / ca30_s3fs_smoke_test.ipynb
            
            
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              December 24, 2019 17:56
            
              
                ca30_s3fs_smoke_test
              
          
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## ca30_h5pyd_smoke_test.ipynb

      
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                jreadey
                / ca30_h5pyd_smoke_test.ipynb
            
            
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              December 24, 2019 18:00
            
              
                ca30_h5pyd_smoke_test
              
          
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## azure vmsetup.sh
# install docker (from instrucitons on: https://www.digitalocean.com/community/tutorials/how-to-install-and-use-docker-on-ubuntu-18-04)
echo "install docker"
apt install apt-transport-https ca-certificates curl software-properties-common
curl -fsSL https://download.docker.com/linux/ubuntu/gpg | sudo apt-key add -
add-apt-repository "deb [arch=amd64] https://download.docker.com/linux/ubuntu bionic stable"
apt update
apt-cache policy docker-ce
apt install docker-ce
systemctl --no-page status docker
# install docker-compose (from: https://www.digitalocean.com/community/tutorials/how-to-install-docker-compose-on-ubuntu-18-04)

## hsds_deployment.yml
version: '2'
services:
  head:
    image: hdfgroup.azurecr.io/hsds:${IMAGE_TAG}
    container_name: hsds_head
    restart: ${RESTART_POLICY}
    mem_limit: ${HEAD_RAM}
    environment:
      - TARGET_SN_COUNT=${SN_CORES}
      - TARGET_DN_COUNT=${DN_CORES}

## aad_open.py
import h5pyd

api_key = {}
api_key["AD_APP_ID"] =       "47b78af2-4d62-41a2-849f-38b0615196bc"
api_key["AD_TENANT_ID"] =    "670728e4-f05c-4505-9642-0d1e5754ea9e"
api_key["AD_RESOURCE_ID"]  = "7c56e32a-edad-4e64-be49-74e4fedc0ce9"
api_key["openid_provider"] = "azure"

endpoint = "http://20.83.239.208"

## nsrdb_test.py
import random
import sys
import h5pyd
import numpy as np


#
# main
#
if len(sys.argv) <= 1 or sys.argv[1] in ("-h", "--help"):
	{
	"cells": [
	{
	"cell_type": "markdown",
	"metadata": {},
	"source": [
	"## Multiple Writer/Multiple Reader (MWMR) Example\n",
	"\n",
	"The Goddard Satellite-based Surface Turbulent Fluxes (GSSTF) Version 3 Dataset is a product of the NASA MEaSURES project. The dataset consists of 7,850 files in the HDF-EOS5 format. Each file contains one-day worth of data in the Equidistant Cylindrical projection on the global 0.25×0.25 degree grid cell. The dataset's temporal coverage is from July 1, 1987 to January 1, 2009. More information is available at https://disc.gsfc.nasa.gov/datasets/GSSTF_NCEP_V3/summary.\n",
	"\n",
	# install docker (from instrucitons on: https://www.digitalocean.com/community/tutorials/how-to-install-and-use-docker-on-ubuntu-18-04)
	echo "install docker"
	apt install apt-transport-https ca-certificates curl software-properties-common
	curl -fsSL https://download.docker.com/linux/ubuntu/gpg \| sudo apt-key add -
	add-apt-repository "deb [arch=amd64] https://download.docker.com/linux/ubuntu bionic stable"
	apt update
	apt-cache policy docker-ce
	apt install docker-ce
	systemctl --no-page status docker
	# install docker-compose (from: https://www.digitalocean.com/community/tutorials/how-to-install-docker-compose-on-ubuntu-18-04)
	version: '2'
	services:
	head:
	image: hdfgroup.azurecr.io/hsds:${IMAGE_TAG}
	container_name: hsds_head
	restart: ${RESTART_POLICY}
	mem_limit: ${HEAD_RAM}
	environment:
	- TARGET_SN_COUNT=${SN_CORES}
	- TARGET_DN_COUNT=${DN_CORES}
	import h5pyd

	api_key = {}
	api_key["AD_APP_ID"] = "47b78af2-4d62-41a2-849f-38b0615196bc"
	api_key["AD_TENANT_ID"] = "670728e4-f05c-4505-9642-0d1e5754ea9e"
	api_key["AD_RESOURCE_ID"] = "7c56e32a-edad-4e64-be49-74e4fedc0ce9"
	api_key["openid_provider"] = "azure"

	endpoint = "http://20.83.239.208"
	import random
	import sys
	import h5pyd
	import numpy as np


	#
	# main
	#
	if len(sys.argv) <= 1 or sys.argv[1] in ("-h", "--help"):