当前位置:网站首页>2022-07-07: the original array is a monotonic array with numbers greater than 0 and less than or equal to K. there may be equal numbers in it, and the overall trend is increasing. However, the number
2022-07-07: the original array is a monotonic array with numbers greater than 0 and less than or equal to K. there may be equal numbers in it, and the overall trend is increasing. However, the number
2022-07-08 00:53:00 【Fuda frame constructor daily question】
2022-07-07: The original array is greater than 0、 Less than or equal to k The number of , Is a monotonic array ,
There may be equal numbers , The overall trend is increasing .
But the numbers in some of these positions have been replaced by 0, We need to find out all the pieces 0 Number of alternatives :
1) Each number filled can be greater than or equal to the previous number , Less than or equal to the next number ;
2) Each number filled cannot be greater than k.
From Tencent music .
answer 2022-07-07:
Method 1 : Dynamic programming .
Method 2 : Mathematical methods . Use combination ,C(b-a+m,m).
The code to use rust To write . The code is as follows :
use rand::Rng;
fn main() {
let nn: i64 = 20;
let kk: i64 = 30;
let test_time: i32 = 10000;
println!(" Beginning of the test ");
for i in 0..test_time {
let n = rand::thread_rng().gen_range(0, nn) + 1;
let k = rand::thread_rng().gen_range(0, kk) + 1;
let mut arr = random_array(n, k);
let ans1 = ways1(&mut arr, k);
let ans2 = ways2(&mut arr, k);
if ans1 != ans2 {
println!(" Something went wrong !{}", i);
println!("ans1 = {}", ans1);
println!("ans2 = {}", ans2);
break;
}
}
println!(" End of test ");
}
// Dynamic programming
fn ways1(nums: &mut Vec<i64>, k: i64) -> i64 {
let n = nums.len() as i64;
// dp[i][j] : altogether i Lattice , Fill in at will , But not in descending order ,j The number of species can be selected
let mut dp: Vec<Vec<i64>> = vec![];
for i in 0..n + 1 {
dp.push(vec![]);
for _ in 0..k + 1 {
dp[i as usize].push(0);
}
}
for i in 1..=n {
dp[i as usize][1] = 1;
}
for i in 1..=k {
dp[1][i as usize] = i;
}
for i in 2..=n {
for j in 2..=k {
dp[i as usize][j as usize] =
dp[(i - 1) as usize][j as usize] + dp[i as usize][(j - 1) as usize];
}
}
let mut res = 1;
let mut i: i64 = 0;
let mut j: i64 = 0;
while i < nums.len() as i64 {
if nums[i as usize] == 0 {
j = i + 1;
while j < nums.len() as i64 && nums[j as usize] == 0 {
j += 1;
}
let left_value = if i - 1 >= 0 {
nums[(i - 1) as usize]
} else {
1
};
let right_value = if j < nums.len() as i64 {
nums[j as usize]
} else {
k
};
res *= dp[(j - i) as usize][(right_value - left_value + 1) as usize];
i = j;
}
i += 1;
}
return res;
}
// Mathematical methods
// a ~ b Choose any number in the range , You can choose the number of repetitions , Co selection m individual
// Select the number of schemes in the ordered sequence :C ( m, b - a + m )
fn ways2(nums: &mut Vec<i64>, k: i64) -> i64 {
let mut res = 1;
let mut i: i64 = 0;
let mut j: i64 = 0;
while i < nums.len() as i64 {
if nums[i as usize] == 0 {
j = i + 1;
while j < nums.len() as i64 && nums[j as usize] == 0 {
j += 1;
}
let left_value = if i - 1 >= 0 {
nums[(i - 1) as usize]
} else {
1
};
let right_value = if j < nums.len() as i64 {
nums[j as usize]
} else {
k
};
let numbers = j - i;
res *= c(right_value - left_value + numbers, numbers);
i = j;
}
i += 1;
}
return res;
}
// From total a A few miles , choose b Number , What is the number of methods
fn c(a: i64, b: i64) -> i64 {
if a == b {
return 1;
}
let mut x = 1;
let mut y = 1;
let mut i = b + 1;
let mut j = 1;
while i <= a {
x *= i;
y *= j;
let gcd = gcd(x, y);
x /= gcd;
y /= gcd;
i += 1;
j += 1;
}
return x / y;
}
fn gcd(m: i64, n: i64) -> i64 {
if n == 0 {
m
} else {
gcd(n, m % n)
}
}
// In order to test
fn random_array(n: i64, k: i64) -> Vec<i64> {
let mut ans: Vec<i64> = vec![];
for _i in 0..n {
ans.push(rand::thread_rng().gen_range(0, k) + 1);
}
ans.sort();
for i in 0..n {
ans[i as usize] = if rand::thread_rng().gen_range(0, 2) == 0 {
0
} else {
ans[i as usize]
};
}
return ans;
}
The results are as follows :
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