whitespace

This commit is contained in:
D-T-666
2020-10-19 23:19:11 +04:00
parent 47b9c594fa
commit a9c4249273
3 changed files with 5 additions and 5 deletions

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@@ -2,7 +2,7 @@ IGNORE_ERRORS = E501,F401,F403,F405
PKG = mathgenerator PKG = mathgenerator
format: format:
python -m autopep8 --ignore=$(IGNORE_ERRORS) -i $(PKG)/* python -m autopep8 --ignore=$(IGNORE_ERRORS) -ir $(PKG)/*
lint: lint:
python -m flake8 --ignore=$(IGNORE_ERRORS) $(PKG) python -m flake8 --ignore=$(IGNORE_ERRORS) $(PKG)

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@@ -3,18 +3,18 @@ from .__init__ import *
def angleBtwVectorsFunc(maxEltAmt=20): def angleBtwVectorsFunc(maxEltAmt=20):
s = 0 s = 0
v1 = [random.uniform(0, 1000) for i in range(random.randint(2,maxEltAmt))] v1 = [random.uniform(0, 1000) for i in range(random.randint(2, maxEltAmt))]
v2 = [random.uniform(0, 1000) for i in v1] v2 = [random.uniform(0, 1000) for i in v1]
for i in v1: for i in v1:
for j in v2: for j in v2:
s += i * j s += i * j
mags = math.sqrt(sum([i**2 for i in v1])) * math.sqrt(sum([i**2 for i in v2])) mags = math.sqrt(sum([i**2 for i in v1])) * math.sqrt(sum([i**2 for i in v2]))
problem = f"angle between the vectors {v1} and {v2} is:" problem = f"angle between the vectors {v1} and {v2} is:"
solution = '' solution = ''
try: try:
solution = str(math.acos(s / mags)) solution = str(math.acos(s / mags))
except: except MathDomainError:
print('angleBtwVectorsFunc has some issues with math module, line 16') print('angleBtwVectorsFunc has some issues with math module, line 16')
solution = 'NaN' solution = 'NaN'
# would return the answer in radians # would return the answer in radians

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@@ -2,7 +2,7 @@ from .__init__ import *
def euclidianNormFunc(maxEltAmt=20): def euclidianNormFunc(maxEltAmt=20):
vec = [random.uniform(0, 1000) for i in range(random.randint(2,maxEltAmt))] vec = [random.uniform(0, 1000) for i in range(random.randint(2, maxEltAmt))]
problem = f"Euclidian norm or L2 norm of the vector{vec} is:" problem = f"Euclidian norm or L2 norm of the vector{vec} is:"
solution = math.sqrt(sum([i**2 for i in vec])) solution = math.sqrt(sum([i**2 for i in vec]))
return problem, solution return problem, solution