Alex Coleman Sparrow0hawk

## get_POI_in_LSOA.py
import requests
import json
import pandas as pd
from shapely.geometry import shape, Point
from geopy.geocoders import Nominatim
from collections import Counter
import time

def get_POI_in_LSOA(location=None, POI_type=None):


## ONS_OA_lookup.py
# function for mapping between OA, LSOA, MSOA
import sys
import pandas as pd

# moved data read out of function call
lookup_table = pd.read_csv('data/OA_lookup_table.csv')

def ONS_OA_lookup(code, level, lookup_tbl=lookup_table):
    """
    Using http://geoportal1-ons.opendata.arcgis.com/datasets/fe6c55f0924b4734adf1cf7104a0173e_0.csv

## helloworld.py
print("Hello, world!")

## NEC_nomination_table.csv

          
            Totnes CLP
            York Central CLP
            Almond Valley CLP
            Chatham and Aylesford CLP
            Edmonton CLP
            Enfield North CLP
            Aberavon CLP
            Aberdeen Central CLP
            Airdrie and Shotts CLP
            Altrincham and Sale West CLP
            Amber Valley CLP
            Arundel and South Downs CLP
            Barking CLP
            Barrow and Furness CLP
            Bassetlaw CLP
            Beckenham CLP
            Bermondsey and Old Southwark CLP
            Bexhill and Battle CLP
            Bexleyheath and Crayford CLP
            Birmingham, Northfield CLP
            Birmingham, Selly Oak CLP
            Bracknell CLP
            Braintree CLP
            Brentwood and Ongar CLP
            Bristol West CLP
            Bromley and Chislehurst CLP
            Buckingham CLP
            Bury North CLP
            Bury South CLP
            Caerphilly CLP
            Chelsea and Fulham CLP
            Chesham and Amersham CLP
            Chesterfield CLP
            Cities of London and Westminster CLP
            Coventry North East CLP
            Coventry South CLP
            Croydon North CLP
            Cunninghame North CLP
            Dagenham and Rainham CLP
            Darlington CLP
            Derby North CLP
            Don Valley CLP
            Doncaster North CLP
            Dundee City East CLP
            Dundee City West CLP
            East Lothian CLP
            East Surrey CLP
            Eastleigh CLP
            Eastwood CLP
            Edinburgh Pentlands CLP
            Edinburgh Southern CLP
            En

## main.py
# unpacking a tuple returning function within an if statement
# inspired by this stackoverflow answer https://stackoverflow.com/questions/68122210/python-function-returning-tuple

def check_something():
  return True, "string"

 if (x := check_something())[0]:
  print(x[1])

## flags-and-emissions.ipynb

      
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                / flags-and-emissions.ipynb
            
            
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              November 11, 2021 14:41
            
              
                flags-and-emissions.ipynb
              
          
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## extracting-topic-scores.ipynb

      
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                / extracting-topic-scores.ipynb
            
            
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              April 15, 2022 19:09
            
              
                Extracting topic scores for documents using LDA Gensim (SOO answer)
              
          
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## test-post.py
import requests


headers = {"Authorization": "Token super-secret-token",
            "Content-Type": "text/plain; charset=utf-8",
            "Accept": "application/json"}

data = "airSensors,sensor_id=THP0101 temperature=37.94,humidity=35.231,pressure=1010"

res = requests.post("http://INFLUXDB_IP:8086/api/v2/write?org=home&bucket=weather-pi&precision=ns",

## random_walk.py
from mpi4py import MPI
import numpy as np

# Define the size of the grid
n = 100

# Initialize MPI and get the rank of the current process
comm = MPI.COMM_WORLD
rank = comm.Get_rank()
	import requests
	import json
	import pandas as pd
	from shapely.geometry import shape, Point
	from geopy.geocoders import Nominatim
	from collections import Counter
	import time

	def get_POI_in_LSOA(location=None, POI_type=None):
	# function for mapping between OA, LSOA, MSOA
	import sys
	import pandas as pd

	# moved data read out of function call
	lookup_table = pd.read_csv('data/OA_lookup_table.csv')

	def ONS_OA_lookup(code, level, lookup_tbl=lookup_table):
	"""
	Using http://geoportal1-ons.opendata.arcgis.com/datasets/fe6c55f0924b4734adf1cf7104a0173e_0.csv
	# unpacking a tuple returning function within an if statement
	# inspired by this stackoverflow answer https://stackoverflow.com/questions/68122210/python-function-returning-tuple

	def check_something():
	return True, "string"

	if (x := check_something())[0]:
	print(x[1])
	import requests


	headers = {"Authorization": "Token super-secret-token",
	"Content-Type": "text/plain; charset=utf-8",
	"Accept": "application/json"}

	data = "airSensors,sensor_id=THP0101 temperature=37.94,humidity=35.231,pressure=1010"

	res = requests.post("http://INFLUXDB_IP:8086/api/v2/write?org=home&bucket=weather-pi&precision=ns",
	from mpi4py import MPI
	import numpy as np

	# Define the size of the grid
	n = 100

	# Initialize MPI and get the rank of the current process
	comm = MPI.COMM_WORLD
	rank = comm.Get_rank()