本文整理汇总了Python中numpy.base_repr方法的典型用法代码示例。如果您正苦于以下问题：Python numpy.base_repr方法的具体用法？Python numpy.base_repr怎么用？Python numpy.base_repr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.base_repr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: totalistic_rule
# 需要导入模块: import numpy [as 别名]
# 或者: from numpy import base_repr [as 别名]
def totalistic_rule(neighbourhood, k, rule):
"""
The totalistic rule as described in NKS. The average color is mapped to a whole number in [0, k - 1].
The rule number is in base 10, but interpreted in base k. For a 1-dimensional cellular automaton, there are
3k - 2 possible average colors in the 3-cell neighbourhood. There are n(k - 1) + 1 possible average colors for a
k-color cellular automaton with an n-cell neighbourhood.
:param neighbourhood: a k-color array of any size
:param k: the number of colors in this cellular automaton, where only 2 <= k <= 36 is supported
:param rule: the k-color cellular automaton rule number in base 10, interpreted in base k
:return: the result, a number from 0 to k - 1, of applying the given rule on the given state
"""
# e.g. np.base_repr(777, base=3) -> '1001210'; the zfill pads the string with zeroes: '1'.zfill(3) -> '001'
# Bases greater than 36 not handled in base_repr.
n = neighbourhood.size
rule_string = np.base_repr(rule, base=k).zfill(n*(k - 1) + 1)
if len(rule_string) > n*(k - 1) + 1:
raise Exception("rule number out of range")
neighbourhood_sum = np.sum(neighbourhood)
# the rightmost element of the rule is for the average color 0, in NKS convention
return int(rule_string[n*(k - 1) - neighbourhood_sum], k) 示例2: test_base3
# 需要导入模块: import numpy [as 别名]
# 或者: from numpy import base_repr [as 别名]
def test_base3(self):
assert_equal(np.base_repr(3**5, 3), '100000') 示例3: test_positive
# 需要导入模块: import numpy [as 别名]
# 或者: from numpy import base_repr [as 别名]
def test_positive(self):
assert_equal(np.base_repr(12, 10), '12')
assert_equal(np.base_repr(12, 10, 4), '000012')
assert_equal(np.base_repr(12, 4), '30')
assert_equal(np.base_repr(3731624803700888, 36), '10QR0ROFCEW') 示例4: test_negative
# 需要导入模块: import numpy [as 别名]
# 或者: from numpy import base_repr [as 别名]
def test_negative(self):
assert_equal(np.base_repr(-12, 10), '-12')
assert_equal(np.base_repr(-12, 10, 4), '-000012')
assert_equal(np.base_repr(-12, 4), '-30') 示例5: test_base_range
# 需要导入模块: import numpy [as 别名]
# 或者: from numpy import base_repr [as 别名]
def test_base_range(self):
with assert_raises(ValueError):
np.base_repr(1, 1)
with assert_raises(ValueError):
np.base_repr(1, 37) 示例6: base_repr
# 需要导入模块: import numpy [as 别名]
# 或者: from numpy import base_repr [as 别名]
def base_repr(number, base=2, padding=0): # NOQA (needed to avoid redefinition of `number`)
"""Return a string representation of a number in the given base system.
.. seealso:: :func:`numpy.base_repr`
"""
return numpy.base_repr(number, base, padding)
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# Linear algebra
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