根据提供值的总和和列表分配值
Distribute values based on sum and list of provided values
我需要根据满足此要求的条件生成值列表:
所有生成值的总和应等于total
,只应使用providedValues
来获得总和,providedValues
和total
可以是任何double。
例如:
total = 1.0
providedValues = [0.5, 0.25]
输出列表中的值应随机分布,例如输出可以是:[0.5, 0.25, 0.25]
、[0.25, 0.5, 0.25]
或[0.25, 0.25, 0.5]
如果总和不能等于总数:
total = 1.0
providedValues = [0.3]
算法应该抛出错误。
实施语言无关紧要,我会尝试阅读任何语言。
该算法将 return 所有可能的组合,总和为 total
。
import itertools
import numpy as np
def find_combination(total, providedValues):
i = 1
rv = []
while True:
combs = list(itertools.combinations_with_replacement(providedValues,i))
validCombs = [comb for comb in combs if np.isclose(sum(comb),total)]
if validCombs:
rv.extend(validCombs)
elif not [comb for comb in combs if sum(comb) <= total]:
return rv
i += 1
输出:
>>> find_combination(1.0, [0.5, 0.25])
[(0.5, 0.5), (0.5, 0.25, 0.25), (0.25, 0.25, 0.25, 0.25)]
>>> find_combination(1.0, [0.3])
[]
如果想得到结果的所有排列,可以使用
>>> set(itertools.permutations((0.5, 0.25, 0.25)))
{(0.25, 0.25, 0.5), (0.25, 0.5, 0.25), (0.5, 0.25, 0.25)}
例如:
>>> set(y for x in find_combination(1.0, [0.5, 0.25]) for y in itertools.permutations(x))
{(0.25, 0.25, 0.25, 0.25),
(0.25, 0.25, 0.5),
(0.25, 0.5, 0.25),
(0.5, 0.25, 0.25),
(0.5, 0.5)}
这是我的解决方案,基于提供的两个值,您可能需要根据需要进行更改
from itertools import permutations, combinations
def get_scala(x,y,t):
# get list of scala combinations
# find a,b that a*x+b*y = total
scala_list = []
amax = int(t // x) # possible max scala for x
bmax = int(t // y) # possible max scala for y
for i in range(1, amax+1):
for j in range(1, bmax+1):
if i*x + j*y == t: # find the scala combination that == total
scala_list.append((i, j))
if scala_list:
return scala_list
else:
print("Warning: cannot add up to the total")
def dist(x, y, scala):
a, b = scala
# get a base list with a number of x and b number of y [x,x,y,y,y]
bl = [x]*a + [y]*b
# get permutations and using set to get rid of duplicate items
return set(permutations(bl))
for l in get_scala(0.3, 0.2, 1):
for d in dist(0.3, 0.2, l):
print(d)
输出看起来像:
(0.2, 0.3, 0.2, 0.3)
(0.2, 0.2, 0.3, 0.3)
(0.3, 0.2, 0.2, 0.3)
(0.3, 0.2, 0.3, 0.2)
(0.3, 0.3, 0.2, 0.2)
(0.2, 0.3, 0.3, 0.2)
我需要根据满足此要求的条件生成值列表:
所有生成值的总和应等于total
,只应使用providedValues
来获得总和,providedValues
和total
可以是任何double。
例如:
total = 1.0
providedValues = [0.5, 0.25]
输出列表中的值应随机分布,例如输出可以是:[0.5, 0.25, 0.25]
、[0.25, 0.5, 0.25]
或[0.25, 0.25, 0.5]
如果总和不能等于总数:
total = 1.0
providedValues = [0.3]
算法应该抛出错误。
实施语言无关紧要,我会尝试阅读任何语言。
该算法将 return 所有可能的组合,总和为 total
。
import itertools
import numpy as np
def find_combination(total, providedValues):
i = 1
rv = []
while True:
combs = list(itertools.combinations_with_replacement(providedValues,i))
validCombs = [comb for comb in combs if np.isclose(sum(comb),total)]
if validCombs:
rv.extend(validCombs)
elif not [comb for comb in combs if sum(comb) <= total]:
return rv
i += 1
输出:
>>> find_combination(1.0, [0.5, 0.25])
[(0.5, 0.5), (0.5, 0.25, 0.25), (0.25, 0.25, 0.25, 0.25)]
>>> find_combination(1.0, [0.3])
[]
如果想得到结果的所有排列,可以使用
>>> set(itertools.permutations((0.5, 0.25, 0.25)))
{(0.25, 0.25, 0.5), (0.25, 0.5, 0.25), (0.5, 0.25, 0.25)}
例如:
>>> set(y for x in find_combination(1.0, [0.5, 0.25]) for y in itertools.permutations(x))
{(0.25, 0.25, 0.25, 0.25),
(0.25, 0.25, 0.5),
(0.25, 0.5, 0.25),
(0.5, 0.25, 0.25),
(0.5, 0.5)}
这是我的解决方案,基于提供的两个值,您可能需要根据需要进行更改
from itertools import permutations, combinations
def get_scala(x,y,t):
# get list of scala combinations
# find a,b that a*x+b*y = total
scala_list = []
amax = int(t // x) # possible max scala for x
bmax = int(t // y) # possible max scala for y
for i in range(1, amax+1):
for j in range(1, bmax+1):
if i*x + j*y == t: # find the scala combination that == total
scala_list.append((i, j))
if scala_list:
return scala_list
else:
print("Warning: cannot add up to the total")
def dist(x, y, scala):
a, b = scala
# get a base list with a number of x and b number of y [x,x,y,y,y]
bl = [x]*a + [y]*b
# get permutations and using set to get rid of duplicate items
return set(permutations(bl))
for l in get_scala(0.3, 0.2, 1):
for d in dist(0.3, 0.2, l):
print(d)
输出看起来像:
(0.2, 0.3, 0.2, 0.3)
(0.2, 0.2, 0.3, 0.3)
(0.3, 0.2, 0.2, 0.3)
(0.3, 0.2, 0.3, 0.2)
(0.3, 0.3, 0.2, 0.2)
(0.2, 0.3, 0.3, 0.2)