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Microsoft AI for Earth track schedule

All times UTC-3 (ART)

Session 1

8:00 AM

FOSS4G and the climate crisis: Let's get to work

Rob Emanuele, Microsoft

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Forcing an Azure Batch node to pull from ACR

Sometimes you want to keep a node in an Azure Batch pool up and running as you're debugging tasks so that you don't have to pay the waiting time to spin up and down a node. You may want to push a new image to ACR with the same tag to run the job based on fixes based on the last run. However, Azure Batch nodes don't pull an updated image by default, and will run with the same image if a task is run again even if ACR has been updated.

The best solution I've found to speed things up is:

• In Batch Explorer, go to the pool view, right click on the node, and "connect"
• This will ssh into the node. Inside of the shell, run:

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{
	"type": "Feature",
	"properties": {
		"ID": "4937061",
		"OBJECTID": "3503",
		"Provider Number": "440232",
		"X": -87.689643485999966,
		"Y": 36.320170566000058,
		"NAME": "HOUSTON COUNTY COMMUNITY HOSPITAL",
		"ADDRESS": "5001 E. MAIN STREET",

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{
  "type": "FeatureCollection",
  "features": [
    {
      "type": "Feature",
      "properties": {},
      "geometry": {
        "type": "Polygon",
        "coordinates": [
          [

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from datetime import datetime

import pandas as pd
import requests

def get_usafacts_county_cases(url):
    r = requests.get(url)
    return pd.read_csv(io.BytesIO(r.content))
    
def get_new_cases(url):

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{
  "Estimated Beds Available (Conventional) - Lower": [
    0,
    212
  ],
  "Estimated Beds Available (Conventional) - Upper": [
    0,
    425
  ],
  "Estimated Additional Ventilators Required (Conventional) - Lower": [

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"""STAC Model classes.
"""

import os
import json
from copy import copy, deepcopy

STAC_VERSION = '0.7.0'

class STAC_IO: