def test3(testFile, spots):
maxDraw = 200
minDraw = 0
numCount = analyzeKenoData.numFreq(testFile, minDraw, maxDraw)
#Get most common and least common numbers
common = analyzeKenoData.mostFreq(numCount)
uncommon = analyzeKenoData.leastFreq(numCount)
#Get the numbers that have not appeared in the last 10 games
zeroCount = analyzeKenoData.numFreq(testFile, maxDraw - 10, maxDraw)
zeros = analyzeKenoData.zeroFreq(zeroCount)
#Remove numbers in all arrays that appeared more than 25% of the time
barrier = maxDraw / 4
for num in reversed(common):
if (numCount[num - 1] >= (barrier * .9)):
common.remove(num)
for num in reversed(uncommon):
if (numCount[num - 1] >= (barrier * .9)):
uncommon.remove(num)
for num in reversed(zeros):
if (numCount[num - 1] >= (barrier * .9)):
zeros.remove(num)
if len(zeros) >= spots:
return analyzeKenoData.checkNums(testFile, maxDraw, 10, zeros[:spots])
if len(zeros) < spots:
for x in range(0, spots - len(zeros)):
zeros.append(uncommon[x])
return analyzeKenoData.checkNums(testFile, maxDraw, 10, zeros[:spots])
def test1(testFile):
maxDraw = 290
minDraw = 0
numCount = analyzeKenoData.numFreq(testFile, minDraw, maxDraw)
print(numCount)
#Get most common and least common numbers
common = analyzeKenoData.mostFreq(numCount)
uncommon = analyzeKenoData.leastFreq(numCount)
#Get the numbers that have not appeared in the last 10 games
zeroCount = analyzeKenoData.numFreq(testFile, maxDraw - 10, maxDraw)
zeros = analyzeKenoData.zeroFreq(zeroCount)
#Remove numbers in all arrays that appeared more than 25% of the time
barrier = maxDraw / 4
for num in reversed(common):
if (numCount[num - 1] >= (barrier * .9)):
common.remove(num)
for num in reversed(uncommon):
if (numCount[num - 1] >= (barrier * .9)):
uncommon.remove(num)
for num in reversed(zeros):
print(num)
if (numCount[num - 1] >= (barrier * .9)):
zeros.remove(num)
#Print all arrays
print("COMMON: ")
print(common)
print("UNCOMMON: ")
print(uncommon)
print("ZEROS: ")
print(zeros)
analyzeKenoData.checkNums(testFile, maxDraw, 10, uncommon[:3])
def test2(testFile, spots):
maxDraw = 200
minDraw = 0
numCount = analyzeKenoData.numFreq(testFile, minDraw, maxDraw)
#Get most common and least common numbers
common = analyzeKenoData.mostFreq(numCount)
uncommon = analyzeKenoData.leastFreq(numCount)
#Get the numbers that have not appeared in the last 10 games
zeroCount = analyzeKenoData.numFreq(testFile, maxDraw - 10, maxDraw)
zeros = analyzeKenoData.zeroFreq(zeroCount)
#Remove numbers in all arrays that appeared more than 25% of the time
barrier = maxDraw / 4
for num in reversed(common):
if (numCount[num - 1] >= (barrier * .9)):
common.remove(num)
for num in reversed(uncommon):
if (numCount[num - 1] >= (barrier * .9)):
uncommon.remove(num)
for num in reversed(zeros):
if (numCount[num - 1] >= (barrier * .9)):
zeros.remove(num)
#Pick 3 random ones from group if more than 3 elements in uncommon
if len(uncommon) > spots:
sample = random.sample(uncommon, 3)
return analyzeKenoData.checkNums(testFile, maxDraw, 10, sample[:spots])
def test1(testFile):
maxDraw = 290
minDraw = 0
numCount = analyzeKenoData.numFreq(testFile,minDraw,maxDraw)
print(numCount)
#Get most common and least common numbers
common = analyzeKenoData.mostFreq(numCount)
uncommon = analyzeKenoData.leastFreq(numCount)
#Get the numbers that have not appeared in the last 10 games
zeroCount = analyzeKenoData.numFreq(testFile,maxDraw-10 ,maxDraw)
zeros = analyzeKenoData.zeroFreq(zeroCount)
#Remove numbers in all arrays that appeared more than 25% of the time
barrier = maxDraw/4
for num in reversed(common):
if (numCount[num-1] >= (barrier*.9)):
common.remove(num)
for num in reversed(uncommon):
if (numCount[num-1] >= (barrier*.9)):
uncommon.remove(num)
for num in reversed(zeros):
print(num)
if (numCount[num-1] >= (barrier*.9)):
zeros.remove(num)
#Print all arrays
print("COMMON: ")
print(common)
print("UNCOMMON: ")
print(uncommon)
print("ZEROS: ")
print(zeros)
analyzeKenoData.checkNums(testFile, maxDraw, 10, uncommon[:3])
def test3(testFile, spots):
maxDraw = 200
minDraw = 0
numCount = analyzeKenoData.numFreq(testFile,minDraw,maxDraw)
#Get most common and least common numbers
common = analyzeKenoData.mostFreq(numCount)
uncommon = analyzeKenoData.leastFreq(numCount)
#Get the numbers that have not appeared in the last 10 games
zeroCount = analyzeKenoData.numFreq(testFile,maxDraw-10 ,maxDraw)
zeros = analyzeKenoData.zeroFreq(zeroCount)
#Remove numbers in all arrays that appeared more than 25% of the time
barrier = maxDraw/4
for num in reversed(common):
if (numCount[num-1] >= (barrier*.9)):
common.remove(num)
for num in reversed(uncommon):
if (numCount[num-1] >= (barrier*.9)):
uncommon.remove(num)
for num in reversed(zeros):
if (numCount[num-1] >= (barrier*.9)):
zeros.remove(num)
if len(zeros) >= spots:
return analyzeKenoData.checkNums(testFile, maxDraw, 10, zeros[:spots])
if len(zeros) < spots:
for x in range(0, spots-len(zeros)):
zeros.append(uncommon[x])
return analyzeKenoData.checkNums(testFile, maxDraw, 10, zeros[:spots])
def test2(testFile, spots):
maxDraw = 200
minDraw = 0
numCount = analyzeKenoData.numFreq(testFile,minDraw,maxDraw)
#Get most common and least common numbers
common = analyzeKenoData.mostFreq(numCount)
uncommon = analyzeKenoData.leastFreq(numCount)
#Get the numbers that have not appeared in the last 10 games
zeroCount = analyzeKenoData.numFreq(testFile,maxDraw-10 ,maxDraw)
zeros = analyzeKenoData.zeroFreq(zeroCount)
#Remove numbers in all arrays that appeared more than 25% of the time
barrier = maxDraw/4
for num in reversed(common):
if (numCount[num-1] >= (barrier*.9)):
common.remove(num)
for num in reversed(uncommon):
if (numCount[num-1] >= (barrier*.9)):
uncommon.remove(num)
for num in reversed(zeros):
if (numCount[num-1] >= (barrier*.9)):
zeros.remove(num)
#Pick 3 random ones from group if more than 3 elements in uncommon
if len(uncommon) > spots:
sample = random.sample(uncommon, 3)
return analyzeKenoData.checkNums(testFile, maxDraw, 10, sample[:spots])
def test4(testFile, spots):
maxDraw = 200
minDraw = 0
numCount = analyzeKenoData.numFreq(testFile, minDraw, maxDraw)
#Get most common and least common numbers
common = analyzeKenoData.mostFreq(numCount)
uncommon = analyzeKenoData.leastFreq(numCount)
#Get the numbers that have not appeared in the last 10 games
zeroCount = analyzeKenoData.numFreq(testFile, maxDraw - 10, maxDraw)
zeros = analyzeKenoData.zeroFreq(zeroCount)
#Remove numbers in all arrays that appeared more than 25% of the time
return analyzeKenoData.checkNums(testFile, maxDraw, 10, common[:spots])
def test4(testFile, spots):
maxDraw = 200
minDraw = 0
numCount = analyzeKenoData.numFreq(testFile,minDraw,maxDraw)
#Get most common and least common numbers
common = analyzeKenoData.mostFreq(numCount)
uncommon = analyzeKenoData.leastFreq(numCount)
#Get the numbers that have not appeared in the last 10 games
zeroCount = analyzeKenoData.numFreq(testFile,maxDraw-10 ,maxDraw)
zeros = analyzeKenoData.zeroFreq(zeroCount)
#Remove numbers in all arrays that appeared more than 25% of the time
return analyzeKenoData.checkNums(testFile, maxDraw, 10, common[:spots])
#Get most common numbers and most infrequent numbers
if trigger == 3:
print("Checking data for accurate patterns")
#testFile = 'kenoData/kenoNum07-13-2016.txt'
testFile = 'kenoData/kenoNum07-25-2016.txt'
print(testFile)
#Grab a single text file
#numCount = analyzeKenoData.numFreq(testFile,0,290)
maxDraw = 290
numCount = analyzeKenoData.numFreq(testFile,0,maxDraw)
print(numCount)
#Get most common and least common numbers
common = analyzeKenoData.mostFreq(numCount)
uncommon = analyzeKenoData.leastFreq(numCount)
#Get the numbers that have not appeared in the last 10 games
zeroCount = analyzeKenoData.numFreq(testFile,maxDraw-10 ,maxDraw)
zeros = analyzeKenoData.zeroFreq(zeroCount)
#Remove numbers in all arrays that appeared more than 25% of the time
barrier = 290/4
for num in reversed(common):
if (numCount[num-1] >= (barrier*.9)):
common.remove(num)
for num in reversed(uncommon):
if (numCount[num-1] >= (barrier*.9)):
uncommon.remove(num)
for num in reversed(zeros):
print(num)
if (numCount[num-1] >= (barrier*.9)):