本文整理汇总了Python中numpy.core.umath.exp方法的典型用法代码示例。如果您正苦于以下问题：Python umath.exp方法的具体用法？Python umath.exp怎么用？Python umath.exp使用的例子？那么恭喜您, 这里精选的方法代码示例或许可以为您提供帮助。您也可以进一步了解该方法所在类numpy.core.umath的用法示例。
在下文中一共展示了umath.exp方法的6个代码示例，这些例子默认根据受欢迎程度排序。您可以为喜欢或者感觉有用的代码点赞，您的评价将有助于系统推荐出更棒的Python代码示例。
示例1: test_power_float
# 需要导入模块: from numpy.core import umath [as 别名]
# 或者: from numpy.core.umath import exp [as 别名]
def test_power_float(self):
x = np.array([1., 2., 3.])
assert_equal(x**0, [1., 1., 1.])
assert_equal(x**1, x)
assert_equal(x**2, [1., 4., 9.])
y = x.copy()
y **= 2
assert_equal(y, [1., 4., 9.])
assert_almost_equal(x**(-1), [1., 0.5, 1./3])
assert_almost_equal(x**(0.5), [1., ncu.sqrt(2), ncu.sqrt(3)])
for out, inp, msg in _gen_alignment_data(dtype=np.float32,
type='unary'):
exp = [ncu.sqrt(i) for i in inp]
assert_almost_equal(inp**(0.5), exp, err_msg=msg)
np.sqrt(inp, out=out)
assert_equal(out, exp, err_msg=msg)
for out, inp, msg in _gen_alignment_data(dtype=np.float64,
type='unary'):
exp = [ncu.sqrt(i) for i in inp]
assert_almost_equal(inp**(0.5), exp, err_msg=msg)
np.sqrt(inp, out=out)
assert_equal(out, exp, err_msg=msg) 示例2: test_power_float
# 需要导入模块: from numpy.core import umath [as 别名]
# 或者: from numpy.core.umath import exp [as 别名]
def test_power_float(self):
x = np.array([1., 2., 3.])
assert_equal(x**0, [1., 1., 1.])
assert_equal(x**1, x)
assert_equal(x**2, [1., 4., 9.])
y = x.copy()
y **= 2
assert_equal(y, [1., 4., 9.])
assert_almost_equal(x**(-1), [1., 0.5, 1./3])
assert_almost_equal(x**(0.5), [1., ncu.sqrt(2), ncu.sqrt(3)])
for out, inp, msg in _gen_alignment_data(dtype=np.float32,
type='unary',
max_size=11):
exp = [ncu.sqrt(i) for i in inp]
assert_almost_equal(inp**(0.5), exp, err_msg=msg)
np.sqrt(inp, out=out)
assert_equal(out, exp, err_msg=msg)
for out, inp, msg in _gen_alignment_data(dtype=np.float64,
type='unary',
max_size=7):
exp = [ncu.sqrt(i) for i in inp]
assert_almost_equal(inp**(0.5), exp, err_msg=msg)
np.sqrt(inp, out=out)
assert_equal(out, exp, err_msg=msg) 示例3: test_exp_values
# 需要导入模块: from numpy.core import umath [as 别名]
# 或者: from numpy.core.umath import exp [as 别名]
def test_exp_values(self):
x = [1, 2, 4, 8, 16, 32, 64, 128, 256, 512, 1024]
y = [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10]
for dt in ['f', 'd', 'g']:
log2_ = 0.69314718055994530943
xf = np.array(x, dtype=dt)
yf = np.array(y, dtype=dt)*log2_
assert_almost_equal(np.exp(yf), xf) 示例4: test_expm1
# 需要导入模块: from numpy.core import umath [as 别名]
# 或者: from numpy.core.umath import exp [as 别名]
def test_expm1(self):
assert_almost_equal(ncu.expm1(0.2), ncu.exp(0.2)-1)
assert_almost_equal(ncu.expm1(1e-6), ncu.exp(1e-6)-1) 示例5: test_exp_values
# 需要导入模块: from numpy.core import umath [as 别名]
# 或者: from numpy.core.umath import exp [as 别名]
def test_exp_values(self) :
x = [1, 2, 4, 8, 16, 32, 64, 128, 256, 512, 1024]
y = [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10]
for dt in ['f', 'd', 'g'] :
log2_ = 0.69314718055994530943
xf = np.array(x, dtype=dt)
yf = np.array(y, dtype=dt)*log2_
assert_almost_equal(np.exp(yf), xf) 示例6: test_priority
# 需要导入模块: from numpy.core import umath [as 别名]
# 或者: from numpy.core.umath import exp [as 别名]
def test_priority(self):
class A(object):
def __array__(self):
return np.zeros(1)
def __array_wrap__(self, arr, context):
r = type(self)()
r.arr = arr
r.context = context
return r
class B(A):
__array_priority__ = 20.
class C(A):
__array_priority__ = 40.
x = np.zeros(1)
a = A()
b = B()
c = C()
f = ncu.minimum
self.assertTrue(type(f(x, x)) is np.ndarray)
self.assertTrue(type(f(x, a)) is A)
self.assertTrue(type(f(x, b)) is B)
self.assertTrue(type(f(x, c)) is C)
self.assertTrue(type(f(a, x)) is A)
self.assertTrue(type(f(b, x)) is B)
self.assertTrue(type(f(c, x)) is C)
self.assertTrue(type(f(a, a)) is A)
self.assertTrue(type(f(a, b)) is B)
self.assertTrue(type(f(b, a)) is B)
self.assertTrue(type(f(b, b)) is B)
self.assertTrue(type(f(b, c)) is C)
self.assertTrue(type(f(c, b)) is C)
self.assertTrue(type(f(c, c)) is C)
self.assertTrue(type(ncu.exp(a) is A))
self.assertTrue(type(ncu.exp(b) is B))
self.assertTrue(type(ncu.exp(c) is C))