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Fibinocci uncommented

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NarayanAdithya
2020-10-18 00:08:30 +05:30
parent c0a213b90c
commit 6b63ecf292
1 changed files with 16 additions and 16 deletions
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32
mathgenerator/mathgen.py
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@@ -798,21 +798,21 @@ def surdsComparisonFunc(maxValue = 100, maxRoot = 10):
solution = "<"
return problem, solution
# def fibonacciSeriesFunc(minNo=1):
# n = random.randint(minNo,20)
# def createFibList(n):
# l=[]
# for i in range(n):
# if i<2:
# l.append(i)
# else:
# val = l[i-1]+l[i-2]
# l.append(val)
# return l
# fibList=createFibList(n)
# problem = "The Fibonacci Series of the first "+str(n)+" numbers is ?"
# solution = fibList
# return problem,solution
def fibonacciSeriesFunc(minNo=1):
n = random.randint(minNo,20)
def createFibList(n):
l=[]
for i in range(n):
if i<2:
l.append(i)
else:
val = l[i-1]+l[i-2]
l.append(val)
return l
fibList=createFibList(n)
problem = "The Fibonacci Series of the first "+str(n)+" numbers is ?"
solution = fibList
return problem,solution
def basicTrigonometryFunc(angles=[0,30,45,60,90],functions=["sin","cos","tan"]): #Handles degrees in quadrant one
angle=random.choice(angles)
@@ -910,6 +910,6 @@ diceSumProbability=Generator("Probability of a certain sum appearing on faces of
exponentiation = Generator("Exponentiation", 53,"a^b = ","c",exponentiationFunc)
confidenceInterval = Generator("Confidence interval For sample S", 54, "With X% confidence", "is (A,B)", confidenceIntervalFunc)
surdsComparison = Generator("Comparing surds", 55, "Fill in the blanks a^(1/b) _ c^(1/d)", "</>/=", surdsComparisonFunc)
# fibonacciSeries = Generator("Fibonacci Series",56,"fibonacci series of first a numbers","prints the fibonacci series starting from 0 to a",fibonacciSeriesFunc)
fibonacciSeries = Generator("Fibonacci Series",56,"fibonacci series of first a numbers","prints the fibonacci series starting from 0 to a",fibonacciSeriesFunc)
basicTrigonometry=Generator("Trigonometric Values",57,"What is sin(X)?","ans",basicTrigonometryFunc)
data_summary=Generator("Mean,Standard Deviation,Variance",58,"a,b,c","Mean:a+b+c/3,Std,Var",data_desc)