我正在学习一门关于向量的课程,我试着用Python实现向量操作,我正在学习这个过程。我得到一个数学域错误时,规范化的向量。知道为什么吗?你知道吗
我得到的错误是:
第67行,与 升起(e) ValueError:数学域错误
import math
from decimal import Decimal, getcontext
getcontext().prec = 30
class Vector(object):
def __init__(self, coordinates):
try:
if not coordinates:
raise ValueError
self.coordinates = tuple([Decimal(x) for x in coordinates])
self.dim ension = len(coordinates)
except ValueError:
raise ValueError('The coordinates must be nonempty')
except TypeError:
raise TypeError('The coordinates must be an iterable')
def __str__(self):
return 'Vector: {}'.format(self.coordinates)
def plus(self, v):
new_coordinates = [x+y for x,y in zip(self.coordinates, v.coordinates)]
return Vector(new_coordinates)
def minus(self, v):
new_coordinates = [x-y for x,y in zip(self.coordinates, v.coordinates)]
return Vector(new_coordinates)
def times_scalar(self, c):
new_coordinates = [Decimal(c)*x for x in self.coordinates]
return Vector(new_coordinates)
def magnitude(self):
coordinates_squared = [x**2 for x in self.coordinates]
return Decimal(math.sqrt(sum(coordinates_squared)))
def normalized(self):
try:
magnitude = self.magnitude()
return self.times_scalar(Decimal('1.0')/magnitude)
except ZeroDivisionError:
raise Exception('Cannot normalize the zero vector')
def dot_product(self, v):
return sum([x*y for x,y in zip(self.coordinates, v.coordinates)])
def angle_with(self, v, in_degrees=False):
try:
u1 = self.normalized()
u2 = v.normalized()
angle_in_radians = math.acos(u1.dot_product(u2))
if in_degrees:
degrees_per_radian = 180 / math.pi
return angle_in_radians * degrees_per_radian
else:
return angle_in_radians
except Exception as e:
if str(e) == 'Cannot normalize the zero vector':
raise Exception('Cannot compute an angle with the zero vector')
else:
raise(e)
a = Vector(['-7.579', '-7.88'])
b = Vector(['22.737', '23.64'])
print a.is_parallel_to(b)
print a.is_orthogonal(b)
Łukasz-Rogalski指出,如果u1和u2的点积在[-1,1]之外,acos会导致这个错误。 如果你规范化向量a和b,并检查点积的精度为30像你有,你会看到问题。你知道吗
将精度更改为10左右以处理此错误。你知道吗
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