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get_patterns.py
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import os
BASE_DIR = os.path.dirname(os.path.abspath(__file__))
##sample sizes that are multiples of 40 round incorrectly, so I wrote my own function
def round_up(number,places):
if type(number)==type('string'):
pass
else:
number=repr(number)
if number[-1]=='5':
decimals=len(number.split('.')[-1])
if places<decimals:
return round(float(number[:-1]+'6'),places)
else:
return round(float(number),places)
else:
return round(float(number),places)
###smaller numbers are viewed to have less floating point errors than larger numbers
for N in range(5,100):
f=open(os.path.join(BASE_DIR,'raw_variances',str(N)+'.txt'))
f.readline()
all_data=[[float(i.split('\t')[0]),eval(i.strip().split('\t')[-1])] for i in f]
data=[[int(i[0]),round_up('.'+repr(i[0]).split('.')[1],12)] for i in all_data]
#step1
#check pattern 0
## print 'pattern 0'
pattern_zero=[i[1] for i in data if i[0]==0]
size=len(set(pattern_zero))
pattern_zero_decimals=12
for j in range(7,12)[::-1]:
pattern=[round_up(i,j) for i in pattern_zero]
newsize=len(set(pattern))
if size!=newsize:
size=newsize
pattern_zero_decimals=j
pattern_0=sorted(list(set(pattern)))
else:
pass
#step2
#check pattern 1
## print 'pattern 1'
pattern_one=[i[1] for i in data if i[0]==1]
size=len(set(pattern_one))
pattern_one_decimals=12
for j in range(7,12)[::-1]:
pattern=[round_up(i,j) for i in pattern_one]
newsize=len(set(pattern))
if size!=newsize:
size=newsize
pattern_one_decimals=j
pattern_1=sorted(list(set(pattern)))
else:
pass
#step3
#check pattern 2
## print 'pattern 2'
pattern_two=[i[1] for i in data if i[0]==2]
size=len(set(pattern_two))
pattern_two_decimals=12
for j in range(7,12)[::-1]:
pattern=[round_up(i,j) for i in pattern_two]
newsize=len(set(pattern))
if size!=newsize:
size=newsize
pattern_two_decimals=j
pattern_2=sorted(list(set(pattern)))
else:
pass
#step4
#check pattern 3
## print 'pattern 3'
pattern_three=[i[1] for i in data if i[0]==3]
size=len(set(pattern_three))
pattern_three_decimals=12
for j in range(7,12)[::-1]:
pattern=[round_up(i,j) for i in pattern_three]
newsize=len(set(pattern))
if size!=newsize:
size=newsize
pattern_three_decimals=j
pattern_3=sorted(list(set(pattern)))
else:
pass
#step5
#check pattern 4
## print 'pattern 4'
pattern_four=[i[1] for i in data if i[0]==4]
size=len(set(pattern_four))
pattern_four_decimals=12
for j in range(7,12)[::-1]:
pattern=[round_up(i,j) for i in pattern_four]
newsize=len(set(pattern))
if size!=newsize:
size=newsize
pattern_four_decimals=j
pattern_4=sorted(list(set(pattern)))
else:
pass
#step6
#match patterns
#get as many decimals as possible
if pattern_zero_decimals==12:
pattern_0=pattern_zero
if pattern_one_decimals==12:
pattern_1=pattern_one
if pattern_two_decimals==12:
pattern_2=pattern_two
if pattern_three_decimals==12:
pattern_3=pattern_three
if pattern_four_decimals==12:
pattern_4=pattern_four
if [repr(i)[:pattern_three_decimals-2] for i in pattern_1]!=[repr(i)[:pattern_three_decimals-2] for i in pattern_3]:
print 'odd error', N
if [repr(i)[:pattern_four_decimals-2] for i in pattern_2]!=[repr(i)[:pattern_four_decimals-2] for i in pattern_4]:
print 'even error', N
##ensure all of pattern 0 is encompassed by the other patterns
##for odd patterns need to make sure variances are unique for the averages
check=[repr(i)[:pattern_two_decimals-2] for i in pattern_2]
for i in [repr(i)[:pattern_two_decimals-2] for i in pattern_0]:
if i not in check:
print 'zero error', N
pattern_size=len(pattern_1)+len(pattern_2)
if pattern_size%N!=0:
print 'pattern error', N
if N%2==0:
pass
else:
##this is unnecessary now that i'm splitting up the averages
if len(set([repr(i)[:pattern_three_decimals-2] for i in pattern_1]+[repr(i)[:pattern_three_decimals-2] for i in pattern_2]))!=pattern_size:
print 'average problem', N
#get the averages, limit the variance decimals to what you currently have
#need to find longest list of averages, get decimals, map to most precise variance
longest_averages_even={}
longest_averages_odd={}
for i in all_data:
value=round_up('.'+repr(i[0]).split('.')[1],7)
## print i[0],value
if int(i[0])%2==0:
if value in longest_averages_even:
if len(i[1])>len(longest_averages_even[value]):
longest_averages_even[value]=i[1]
else:
longest_averages_even[value]=i[1]
else:
if value in longest_averages_odd:
if len(i[1])>len(longest_averages_odd[value]):
longest_averages_odd[value]=i[1]
else:
longest_averages_odd[value]=i[1]
averages_even={}
averages_odd={}
if N%2==0:
if len(longest_averages_odd)!=len(pattern_1):
print 'average error',N
else:
mydata=sorted(zip(longest_averages_odd.keys(),longest_averages_odd.values()))
for index,i in enumerate(pattern_1):
averages_odd[i]=list(set([round_up('.'+repr(j).split('.')[1],13) for j in mydata[index][1]]))
if round_up(i%1,7)!=mydata[index][0]:
print round_up(i%1,7),mydata[index][0]
averages_even=averages_odd
else:
if len(longest_averages_odd)!=len(pattern_1) or len(longest_averages_even)!=len(pattern_2):
print 'average error',N
else:
mydata=sorted(zip(longest_averages_odd.keys(),longest_averages_odd.values()))
for index,i in enumerate(pattern_1):
averages_odd[i]=list(set([round_up('.'+repr(j).split('.')[1],13) for j in mydata[index][1]]))
if round_up(i%1,7)!=mydata[index][0]:
print round_up(i%1,7),mydata[index][0]
mydata=sorted(zip(longest_averages_even.keys(),longest_averages_even.values()))
for index,i in enumerate(pattern_2):
averages_even[i]=list(set([round_up('.'+repr(j).split('.')[1],13) for j in mydata[index][1]]))
if round_up(i%1,7)!=mydata[index][0]:
print round_up(i%1,7),mydata[index][0]
f=open(os.path.join(BASE_DIR,'patterns',str(N)+'.py'),'w')
f.write('pattern_zero='+str(pattern_0))
f.write('\n')
f.write('pattern_odd='+str(pattern_1))
f.write('\n')
if N%2==0:
f.write('pattern_even='+str(pattern_1))
f.write('\n')
else:
f.write('pattern_even='+str(pattern_2))
f.write('\n')
f.write('averages_even='+str(averages_even))
f.write('\n')
f.write('averages_odd='+str(averages_odd))
f.close()