Mark Jones awgeezrick

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	from hashlib import md5
	import pandas as pd
	from typing import Optional, Iterable

	def get_md5_from_series(input_iterable: Iterable) -> str:
	"""
	Create a MD5 hash from an Iterable, typically a row from a Pandas ``DataFrame``, but can be any
	Iterable object instance such as a list, tuple or Pandas ``Series``.

	Args:

	import os

	filename = 'homework.txt'

	if not os.path.exists(filename):
	with open(filename, 'w'): pass

	answer1 = """1).
	X \| 3 \| X
	____\|____\|____

	###########################################################
	# How to NEVER use lambdas. An inneficient and yet educa- #
	# tonal [sic] guide to the proper misuse of the lambda #
	# construct in Python 3.x. [DO NOT USE ANY OF THIS EVER] #
	# original by (and apologies to): e000 (13/6/11) #
	# now in Python 3 courtesy of: khuxkm (17/9/20) #
	###########################################################

	## Part 1. Basic LAMBDA Introduction ##
	# If you're reading this, you've probably already read e000's

	import pandas as pd

	if __name__ == '__main__':
	# Override default pandas configuration
	pd.options.display.width = 0
	pd.options.display.max_rows = 10000
	pd.options.display.max_info_columns = 10000

	# Open example data.
	df = pd.read_csv('employee_data.csv')

	from arcgis.features import GeoAccessor, FeatureLayer
	from arcgis.geometry import Geometry
	from arcgis.gis import GIS
	import pandas as pd
	import os
	import re


	def get_dataframe(in_features, gis=None):
	"""

	// Program for cloning repos at a specific place on your computer
	package main

	import (
	"flag"
	"fmt"
	"net/url"
	"os"
	"os/exec"
	"path/filepath"