如何将数字随机分成几个数字?
例如:我有一个数字30,我想随机将它分成几个数字,每个数字的大小在3-10之间,每个数字的大小彼此不同
结果可能像:[5,7,9,6,3],[9,10,3,8],......等
我试过,但我无法解决,请给我帮助。
答案 0 :(得分:1)
非常好的拼图。我会选择:
class Fixnum
def random_split(set = nil, repeats = false)
set ||= 1..self
set = [*set]
return if set.empty? || set.min > self || set.inject(0, :+) < self
tried_numbers = []
while (not_tried = (set - tried_numbers).select {|n| n <= self }).any?
tried_numbers << number = not_tried.sample
return [number] if number == self
new_set = set.dup
new_set.delete_at(new_set.index(number)) unless repeats
randomized_rest = (self-number).random_split(new_set, repeats)
return [number] + randomized_rest if randomized_rest
end
end
end
30.random_split(3..10)
一般来说,上面的代码涵盖了很多案例。您可以在没有任何参数的情况下执行它,然后它将假设它从1到指定数字中选择数字,并且结果集不应包含任何重复。您可以选择传递给定数量的集合。如果你通过[1,2,3,4,4,4],那么4次重复不会超过3次。如果第二个参数设置为true,则允许设置元素在结果中出现两次或更多次。
答案 1 :(得分:1)
分割号码称为integer partition。这是基于Marc-André Lafortune's recursive algorithm的解决方案:
def expand(n, max = n)
return [[]] if n == 0
[max, n].min.downto(1).flat_map do |i|
expand(n-i, i).map{|rest| [i, *rest]}
end
end
expand(30).select { |a| a.size >= 3 && a.size <= 10 }.sample(5)
#=> [[15, 3, 3, 3, 2, 2, 1, 1],
# [9, 5, 4, 3, 2, 2, 2, 1, 1, 1],
# [13, 10, 4, 2, 1],
# [8, 8, 7, 2, 2, 1, 1, 1],
# [8, 6, 4, 3, 3, 2, 1, 1, 1, 1]]
请注意,可能的分区数量非常大:30个包含5,604个分区,100个包含190,569,292个分区,1,000个包含2.4 × 1031个分区。
答案 2 :(得分:0)
不是世界上最好的算法(它做了一些试验和错误)但是嘿,现在CPU周期很便宜......这应该适用于每个数字:
def split_this_number_into_several_numbers_randomly(a_number, min_number_to_start_from)
random_numbers = [0]
until (random_numbers.inject(&:+) == a_number)
random_numbers << rand(min_number_to_start_from..a_number/3) # replace 30 here, I assumed you wanted up to 1/3 of the original number
if (r = random_numbers.detect { |x| random_numbers.count(x) > 1}) then random_numbers.delete(r) end # so we have all unique numbers
random_numbers.pop if random_numbers.inject(&:+) >= a_number - min_number_to_start_from && random_numbers.inject(&:+) != a_number
end
random_numbers.delete_if{ |x| x == 0 }
end
当然还有一些代码来测试它:
all_true = true
1000.times do
arr = split_this_number_into_several_numbers_randomly(30, 3)
all_true == false unless arr.inject(&:+) == 30
all_true == false unless arr.size == arr.uniq.size
end
p all_true #=> true
答案 3 :(得分:0)
OP在评论中已经确认随机选择要反映以下程序:&#34;选择3到10之间不同数字的所有组合([3],[3,4],[3] ,5,6,8,9],.. [9,10],[10]),抛弃所有不加总和为30的组合,并随机选择其中一个&#34;。以下是实现该方法的简单方法。可以提高效率,但这将是很多工作。
<强>代码强>
def arrays(sum, range)
largest_sum = (range.first+range.last)*(range.last-range.first+1)/2
(raise ArgumentError,
"largest sum for range = #{largest_sum}") if sum > largest_sum
avail = [*range]
b = -(2*range.last + 1.0)
c = 8.0*sum
min_nbr = ((-b - (b*b - c)**0.5)/2).ceil.to_i
max_nbr = ((-1.0 + (1.0 + c)**0.5)/2).to_i
(min_nbr..max_nbr).each_with_object([]) { |n, a|
a.concat(avail.combination(n).select { |c| c.inject(:+) == sum }) }
end
注意min_nbr
和max_nbr
使用二次公式来确定可能总和为sum
的不同数字的范围。
<强>实施例强>
sum = 30
range = (3..10)
arr = arrays(sum, range) # all combinations that sum to 30
#=> [[3, 8, 9, 10], [4, 7, 9, 10], [5, 6, 9, 10], [5, 7, 8, 10],
# [6, 7, 8, 9],
# [3, 4, 5, 8, 10], [3, 4, 6, 7, 10], [3, 4, 6, 8, 9],
# [3, 5, 6, 7, 9], [4, 5, 6, 7, 8]]
(Solution time: well under 1 sec.)
10.times { p arr[rand(arr.size)] } # 10 random selections
#=> [3, 4, 6, 8, 9]
# [3, 4, 6, 8, 9]
# [5, 7, 8, 10]
# [4, 5, 6, 7, 8]
# [3, 4, 5, 8, 10]
# [6, 7, 8, 9]
# [3, 4, 5, 8, 10]
# [4, 5, 6, 7, 8]
# [6, 7, 8, 9]
# [3, 4, 6, 7, 10]
sum = 60
range = (3..10)
arr = arrays(sum, range)
#=> in `arrays': largest sum for range = 52 (ArgumentError)
另外两个......
sum = 60
range = (3..20)
arr = arrays(sum, range) # all combinations that sum to 60
arr.size
#=> 1092
(Solution time: about 1 sec.)
10.times { p arr[rand(arr_size)] } # 10 random selections
#=> [12, 14, 15, 19]
# [3, 4, 6, 7, 11, 13, 16]
# [3, 6, 7, 9, 15, 20]
# [3, 8, 14, 17, 18]
# [3, 4, 5, 7, 10, 13, 18]
# [3, 5, 6, 7, 11, 13, 15]
# [5, 6, 7, 8, 14, 20]
# [4, 5, 9, 11, 15, 16]
# [4, 5, 8, 13, 14, 16]
# [3, 4, 5, 12, 16, 20]
sum = 100
range = (3..30)
arr = arrays(sum, range) # all combinations that sum to 100
arr.size
#=> 54380
(Solution time: 3 or 4 minutes)
10.times { p arr[rand(arr_size)] } # 10 random selections
#=> [3, 4, 6, 9, 11, 12, 15, 17, 23]
# [4, 5, 6, 7, 9, 13, 14, 17, 25]
# [4, 5, 6, 7, 11, 17, 21, 29]
# [9, 10, 12, 13, 17, 19, 20]
# [6, 9, 10, 23, 25, 27]
# [3, 4, 5, 6, 7, 8, 9, 14, 15, 29]
# [3, 4, 5, 6, 7, 8, 9, 15, 17, 26]
# [3, 4, 5, 6, 7, 8, 17, 22, 28]
# [3, 5, 6, 7, 9, 12, 13, 15, 30]
# [6, 8, 9, 10, 13, 15, 18, 21]
答案 4 :(得分:0)
我使用递归的版本
def split_number(n, acc = [])
max = n.to_i - 1
return n, acc if max.zero?
r = rand(max) + 1
remainder = n - acc.inject(0, :+) - r
acc << split_number(remainder, acc).first if remainder > 0
[r, acc].flatten
end
split_number(100)
# => [34, 1, 13, 1, 9, 4, 12, 21, 5]