Tim Sheerman-Chase TimSC

## clusteraddress.py
# A script to group delivery areas into routes of roughly similar size.

import csv
from sklearn import cluster
from pyproj import Proj, transform
import numpy as np
from matplotlib import pyplot as plt

class EqualWeightClustering(object):

## install-nvidia-gl32.py
# https://askubuntu.com/a/1337205/294281
import os
import stat
import glob
from pathlib import Path
import shutil

if __name__=="__main__":

    ver = "495.29.05"

## pyellipse.py
#pyellipse by Tim Sheerman-Chase (C) 2021
#Calculate circumference of an ellipse in python (both exact and approximate approaches)
#This source code may be used under the CC0 license https://creativecommons.org/publicdomain/zero/1.0/
#
#For the best exact circumference, use EllipseCircumAdlaj2012
#
#For good approximations that are faster to compute, see EllipseCircumRamanujan2ndApprox and EllipseCircumJacobsenWaadeland1985
#
#Incidentally, scipy has a function to exactly calculate it:
#	C = 4.0*a*special.ellipe(e*e)

## keras_aerialimagelabeling.py
#Using Keras to tackle the Inria aerial image labeling dataset
# https://project.inria.fr/aerialimagelabeling/

import os
#Work around for https://github.com/tensorflow/tensorflow/issues/24496
os.environ['TF_FORCE_GPU_ALLOW_GROWTH'] = 'true'

# Work around for https://github.com/tensorflow/tensorflow/issues/33024
import tensorflow.compat as compat
compat.v1.disable_eager_execution()

## coil100-deeplearning.py
import os
#Work around for https://github.com/tensorflow/tensorflow/issues/24496
os.environ['TF_FORCE_GPU_ALLOW_GROWTH'] = 'true'

# Work around for https://github.com/tensorflow/tensorflow/issues/33024
import tensorflow.compat as compat
compat.v1.disable_eager_execution()

import imageio
from sklearn.model_selection import KFold, train_test_split

## nmist_original.py
#Based on https://machinelearningmastery.com/how-to-develop-a-convolutional-neural-network-from-scratch-for-mnist-handwritten-digit-classification/

import os
#Work around for https://github.com/tensorflow/tensorflow/issues/24496
os.environ['TF_FORCE_GPU_ALLOW_GROWTH'] = 'true'

# baseline cnn model for mnist
from numpy import mean
from numpy import std
from matplotlib import pyplot

## nmist_with_generator.py
import os
#Work around for https://github.com/tensorflow/tensorflow/issues/24496
os.environ['TF_FORCE_GPU_ALLOW_GROWTH'] = 'true'

# Work around for https://github.com/tensorflow/tensorflow/issues/33024
import tensorflow.compat as compat
compat.v1.disable_eager_execution()

# baseline cnn model for mnist
import numpy as np

## tensorflow-gpu-environment.md

      
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                TimSC
                / tensorflow-gpu-environment.md
            
            
              Last active
              April 15, 2020 21:47
            
              
                Working tensorflow GPU environments (Ubuntu 18.04 with Geforce RTX 2060 super)
              
          
      View tensorflow-gpu-environment.md
  
      
    Working environments (Ubuntu 18.04 with Geforce RTX 2060 super)
tensorflow-gpu-1.13 and after require TF_FORCE_GPU_ALLOW_GROWTH work around tensorflow/tensorflow#24496
Keras-2.2.5
tensorflow-gpu-1.12.0 
libcudnn7 7.6.5.32-1+cuda10.0
cuda-libraries-10-0


## portsmouth-measuredno2.csv

          
            Site ID
            X
            Y
            2012
            2013
            2014
            2015
            2016
            2017
            2018

            
              1
              463872
              99874
              42.54
              41.9
              42.57
              44.33
              43.52
              38.8
              42.92

            
              2
              463705
              99371
              17.48
              16.5
              16.55
              15.74
              17.4
              16.38
              17.09

            
              3
              463408
              99460
              26.63
              22.1
              25.67
              24.07
              25.75
              23.7
              24.13

            
              4
              463190
              100390
              36.35
              31.51
              27.97
              30.54
              34.7
              34.2
              34.04

            
              5
              464230
              102194
              28.62
              27.49
              28.93
              27.53
              29.52
              24.48
              28.08

            
              6
              464331
              102197
              35.62
              38.29
              34.85
              46.06
              36.08
              32.08
              30.86

            
              7
              464291
              102279
              29.78
              30
              26.53
              26.05
              28.09
              27.32
              27.74

            
              8
              466690
              104355
              28.81
              27.22
              28.37
              28.43
              29.94
              26.75
              25.97

            
              9
              465621
              105528
              35.07
              31.95
              33.88
              34.98
              40.86
              37.06
              36.7

## splitquoted.py
from __future__ import unicode_literals
from __future__ import print_function

def SplitQuoted(inStr, delim=','):

	if '"' in delim or '\\' in delim:
		raise ValueError("Delimiter not supported")

	l = len(inStr)
	# A script to group delivery areas into routes of roughly similar size.

	import csv
	from sklearn import cluster
	from pyproj import Proj, transform
	import numpy as np
	from matplotlib import pyplot as plt

	class EqualWeightClustering(object):
	# https://askubuntu.com/a/1337205/294281
	import os
	import stat
	import glob
	from pathlib import Path
	import shutil

	if __name__=="__main__":

	ver = "495.29.05"
	#pyellipse by Tim Sheerman-Chase (C) 2021
	#Calculate circumference of an ellipse in python (both exact and approximate approaches)
	#This source code may be used under the CC0 license https://creativecommons.org/publicdomain/zero/1.0/
	#
	#For the best exact circumference, use EllipseCircumAdlaj2012
	#
	#For good approximations that are faster to compute, see EllipseCircumRamanujan2ndApprox and EllipseCircumJacobsenWaadeland1985
	#
	#Incidentally, scipy has a function to exactly calculate it:
	# C = 4.0aspecial.ellipe(e*e)
	#Using Keras to tackle the Inria aerial image labeling dataset
	# https://project.inria.fr/aerialimagelabeling/

	import os
	#Work around for https://github.com/tensorflow/tensorflow/issues/24496
	os.environ['TF_FORCE_GPU_ALLOW_GROWTH'] = 'true'

	# Work around for https://github.com/tensorflow/tensorflow/issues/33024
	import tensorflow.compat as compat
	compat.v1.disable_eager_execution()
	#Based on https://machinelearningmastery.com/how-to-develop-a-convolutional-neural-network-from-scratch-for-mnist-handwritten-digit-classification/

	import os
	#Work around for https://github.com/tensorflow/tensorflow/issues/24496
	os.environ['TF_FORCE_GPU_ALLOW_GROWTH'] = 'true'

	# baseline cnn model for mnist
	from numpy import mean
	from numpy import std
	from matplotlib import pyplot
Site ID	X	Y	2012	2013	2014	2015	2016	2017	2018
1	463872	99874	42.54	41.9	42.57	44.33	43.52	38.8	42.92
2	463705	99371	17.48	16.5	16.55	15.74	17.4	16.38	17.09
3	463408	99460	26.63	22.1	25.67	24.07	25.75	23.7	24.13
4	463190	100390	36.35	31.51	27.97	30.54	34.7	34.2	34.04
5	464230	102194	28.62	27.49	28.93	27.53	29.52	24.48	28.08
6	464331	102197	35.62	38.29	34.85	46.06	36.08	32.08	30.86
7	464291	102279	29.78	30	26.53	26.05	28.09	27.32	27.74
8	466690	104355	28.81	27.22	28.37	28.43	29.94	26.75	25.97
9	465621	105528	35.07	31.95	33.88	34.98	40.86	37.06	36.7
	from __future__ import unicode_literals
	from __future__ import print_function

	def SplitQuoted(inStr, delim=','):

	if '"' in delim or '\\' in delim:
	raise ValueError("Delimiter not supported")

	l = len(inStr)