# Video Stitching

You are given a series of video clips from a sporting event that lasted`T`seconds. These video clips can be overlapping with each other and have varied lengths.

Each video clip`clips[i]` is an interval: it starts at time`clips[i][0]`and ends at time`clips[i][1]`. We can cut these clips into segments freely: for example, a clip`[0, 7]`can be cut into segments `[0, 1] + [1, 3] + [3, 7]`.

Return the minimum number of clips needed so that we can cut the clips into segments that cover the entire sporting event (`[0, T]`). If the task is impossible, return`-1`.

**Example 1:**

```
Input: 
clips = 
[[0,2],[4,6],[8,10],[1,9],[1,5],[5,9]]
, T = 
10
Output: 
3
Explanation: 

We take the clips [0,2], [8,10], [1,9]; a total of 3 clips.
Then, we can reconstruct the sporting event as follows:
We cut [1,9] into segments [1,2] + [2,8] + [8,9].
Now we have segments [0,2] + [2,8] + [8,10] which cover the sporting event [0, 10].
```

**Example 2:**

```
Input: 
clips = 
[[0,1],[1,2]]
, T = 
5
Output: 
-1
Explanation: 

We can't cover [0,5] with only [0,1] and [0,2].
```

**Example 3:**

```
Input: 
clips = 
[[0,1],[6,8],[0,2],[5,6],[0,4],[0,3],[6,7],[1,3],[4,7],[1,4],[2,5],[2,6],[3,4],[4,5],[5,7],[6,9]]
, T = 
9
Output: 
3
Explanation: 

We can take clips [0,4], [4,7], and [6,9].
```

**Example 4:**

```
Input: 
clips = 
[[0,4],[2,8]]
, T = 
5
Output: 
2
Explanation: 

Notice you can have extra video after the event ends.
```

```
Note:

1 <= clips.length <= 100
0 <= clips[i][0], clips[i][1] <= 100
0 <= T <= 100
```

分析

DP存最小个数：一loop所有长度，内loop所有range,长度在range内的话的dp取最小。

```
class Solution:
    def videoStitching(self, clips: List[List[int]], T: int) -> int:
       # clips.sort(key = lambda x:(x[1],x[0])) 可有可无
        dp = [float('inf')]* (T+1)
        dp[0]=0
        for t in range(T+1):           
            for s,e in clips:
                if s <= t<=e:
                    dp[t] = min(dp[t],dp[s]+1)

            if dp[t] == float('inf'):
                return -1
        return dp[-1]
```

dp存最远可达距离

```
class Solution:
    def videoStitching(self, clips: List[List[int]], T: int) -> int:
        n = len(clips)
        dp = [-1]*(n+1) #最远能到达的距离
        dp[0] = 0
        for i in range(1,n+1):
            for s,e in clips:               
                if dp[i-1] >= s:
                    dp[i] = max(dp[i],e)
            if dp[i] >= T:
                return i
        return -1
```

贪心

```
class Solution:
    def videoStitching(self, clips: List[List[int]], T: int) -> int:
        preend,end,res=-1,0,0
        for s,e in sorted(clips):
            if s > end or end>= T:
                break
            if preend < s <= end:
                res,preend = res+1,end
            end = max(end,e)
        return res if end >= T else -1
```


---

# Agent Instructions: Querying This Documentation

If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question.

Perform an HTTP GET request on the current page URL with the `ask` query parameter:

```
GET https://nataliekung.gitbook.io/ladder_code/l4dong-tai-gui-hua/video-stitching.md?ask=<question>
```

The question should be specific, self-contained, and written in natural language.
The response will contain a direct answer to the question and relevant excerpts and sources from the documentation.

Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.
