本文整理汇总了Python中numpy.lcm方法的典型用法代码示例。如果您正苦于以下问题:Python numpy.lcm方法的具体用法?Python numpy.lcm怎么用?Python numpy.lcm使用的例子?那么, 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
的用法示例。
在下文中一共展示了numpy.lcm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_lcm_inner
# 需要导入模块: import numpy [as 别名]
# 或者: from numpy import lcm [as 别名]
def _test_lcm_inner(self, dtype):
# basic use
a = np.array([12, 120], dtype=dtype)
b = np.array([20, 200], dtype=dtype)
assert_equal(np.lcm(a, b), [60, 600])
if not issubclass(dtype, np.unsignedinteger):
# negatives are ignored
a = np.array([12, -12, 12, -12], dtype=dtype)
b = np.array([20, 20, -20, -20], dtype=dtype)
assert_equal(np.lcm(a, b), [60]*4)
# reduce
a = np.array([3, 12, 20], dtype=dtype)
assert_equal(np.lcm.reduce([3, 12, 20]), 60)
# broadcasting, and a test including 0
a = np.arange(6).astype(dtype)
b = 20
assert_equal(np.lcm(a, b), [0, 20, 20, 60, 20, 20])
示例2: test_lcm_overflow
# 需要导入模块: import numpy [as 别名]
# 或者: from numpy import lcm [as 别名]
def test_lcm_overflow(self):
# verify that we don't overflow when a*b does overflow
big = np.int32(np.iinfo(np.int32).max // 11)
a = 2*big
b = 5*big
assert_equal(np.lcm(a, b), 10*big)
示例3: test_gcd_overflow
# 需要导入模块: import numpy [as 别名]
# 或者: from numpy import lcm [as 别名]
def test_gcd_overflow(self):
for dtype in (np.int32, np.int64):
# verify that we don't overflow when taking abs(x)
# not relevant for lcm, where the result is unrepresentable anyway
a = dtype(np.iinfo(dtype).min) # negative power of two
q = -(a // 4)
assert_equal(np.gcd(a, q*3), q)
assert_equal(np.gcd(a, -q*3), q)
示例4: test_decimal
# 需要导入模块: import numpy [as 别名]
# 或者: from numpy import lcm [as 别名]
def test_decimal(self):
from decimal import Decimal
a = np.array([1, 1, -1, -1]) * Decimal('0.20')
b = np.array([1, -1, 1, -1]) * Decimal('0.12')
assert_equal(np.gcd(a, b), 4*[Decimal('0.04')])
assert_equal(np.lcm(a, b), 4*[Decimal('0.60')])
示例5: test_float
# 需要导入模块: import numpy [as 别名]
# 或者: from numpy import lcm [as 别名]
def test_float(self):
# not well-defined on float due to rounding errors
assert_raises(TypeError, np.gcd, 0.3, 0.4)
assert_raises(TypeError, np.lcm, 0.3, 0.4)
示例6: lcm
# 需要导入模块: import numpy [as 别名]
# 或者: from numpy import lcm [as 别名]
def lcm(x1, x2):
def f(x1, x2):
d = _tf_gcd(x1, x2)
# Same as the `x2_safe` trick above
d_safe = tf.where(d == 0, tf.constant(1, d.dtype), d)
return tf.where(d == 0, tf.constant(0, d.dtype),
tf.math.abs(x1 * x2) // d_safe)
return _bin_op(f, x1, x2)