本文整理匯總了Python中numpy.gcd方法的典型用法代碼示例。如果您正苦於以下問題：Python numpy.gcd方法的具體用法？Python numpy.gcd怎麽用？Python numpy.gcd使用的例子？那麽, 這裏精選的方法代碼示例或許可以為您提供幫助。您也可以進一步了解該方法所在類numpy的用法示例。
在下文中一共展示了numpy.gcd方法的7個代碼示例，這些例子默認根據受歡迎程度排序。您可以為喜歡或者感覺有用的代碼點讚，您的評價將有助於係統推薦出更棒的Python代碼示例。
示例1: _test_gcd_inner
# 需要導入模塊: import numpy [as 別名]
# 或者: from numpy import gcd [as 別名]
def _test_gcd_inner(self, dtype):
# basic use
a = np.array([12, 120], dtype=dtype)
b = np.array([20, 200], dtype=dtype)
assert_equal(np.gcd(a, b), [4, 40])
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.gcd(a, b), [4]*4)
# reduce
a = np.array([15, 25, 35], dtype=dtype)
assert_equal(np.gcd.reduce(a), 5)
# broadcasting, and a test including 0
a = np.arange(6).astype(dtype)
b = 20
assert_equal(np.gcd(a, b), [20, 1, 2, 1, 4, 5]) 示例2: _tf_gcd
# 需要導入模塊: import numpy [as 別名]
# 或者: from numpy import gcd [as 別名]
def _tf_gcd(x1, x2):
def _gcd_cond_fn(x1, x2):
return tf.reduce_any(x2 != 0)
def _gcd_body_fn(x1, x2):
# tf.math.mod will raise an error when any element of x2 is 0. To avoid
# that, we change those zeros to ones. Their values don't matter because
# they won't be used.
x2_safe = tf.where(x2 != 0, x2, tf.constant(1, x2.dtype))
x1, x2 = (tf.where(x2 != 0, x2, x1),
tf.where(x2 != 0, tf.math.mod(x1, x2_safe),
tf.constant(0, x2.dtype)))
return (tf.where(x1 < x2, x2, x1), tf.where(x1 < x2, x1, x2))
if (not np.issubdtype(x1.dtype.as_numpy_dtype, np.integer) or
not np.issubdtype(x2.dtype.as_numpy_dtype, np.integer)):
raise ValueError("Arguments to gcd must be integers.")
shape = tf.broadcast_static_shape(x1.shape, x2.shape)
x1 = tf.broadcast_to(x1, shape)
x2 = tf.broadcast_to(x2, shape)
gcd, _ = tf.while_loop(_gcd_cond_fn, _gcd_body_fn,
(tf.math.abs(x1), tf.math.abs(x2)))
return gcd 示例3: test_gcd_overflow
# 需要導入模塊: import numpy [as 別名]
# 或者: from numpy import gcd [as 別名]
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
# 需要導入模塊: import numpy [as 別名]
# 或者: from numpy import gcd [as 別名]
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
# 需要導入模塊: import numpy [as 別名]
# 或者: from numpy import gcd [as 別名]
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: test_builtin_long
# 需要導入模塊: import numpy [as 別名]
# 或者: from numpy import gcd [as 別名]
def test_builtin_long(self):
# sanity check that array coercion is alright for builtin longs
assert_equal(np.array(2**200).item(), 2**200)
# expressed as prime factors
a = np.array(2**100 * 3**5)
b = np.array([2**100 * 5**7, 2**50 * 3**10])
assert_equal(np.gcd(a, b), [2**100, 2**50 * 3**5])
assert_equal(np.lcm(a, b), [2**100 * 3**5 * 5**7, 2**100 * 3**10])
assert_equal(np.gcd(2**100, 3**100), 1) 示例7: gcd
# 需要導入模塊: import numpy [as 別名]
# 或者: from numpy import gcd [as 別名]
def gcd(x1, x2):
return _bin_op(_tf_gcd, x1, x2)