Problem p01005 - Generation 2

Orig Description

Problem G: The Humans Braving the Invaders
Problem
Currently, Earth is under attack by invaders from space, and only we who are in the base, which is the only surviving humans, are left. There is little military power left to fight against them. Nevertheless, we do not give up here. Completely annihilating the Invader is the last means for humanity to survive. We must fight to the end as representatives of the remaining humanity. The following describes the content of the final operation that will take place now.
First, since our military power is far too low compared to that of the Invaders, we will take refuge in this base and conduct a siege battle. This base is surrounded by high mountains, and the only way for the Invaders to invade is to pass through the straight road in front of the base. Let's call this road a field. Due to this feature, it is possible to attack the Invaders concentratedly in front. We who are in the base attack the Invaders with two types of weapons. One is a sniper rifle that aims at one Invader. The other is a grenade launcher that can attack a wide range.
Your job as the only programmer among us humans is to simulate the battle based on the action records of the Invaders and us. The action record is given in query format. Each query consists of one or more integers and is given as follows:
0
The Invader appears at a position  L  distance from the base on the field.
1 d
All Invaders currently on the field move  d  closer to the base. After this action, Invaders that reach the base will receive damage, and those enemies will disappear from the field. If damage is received, output "damage (number of Invaders that reached the base)" on one line.
2 k
If the number of Invaders currently on the field is equal to or greater than  k , attack the  k th Invader from the base with a sniper rifle. The Invader will disappear from the field. Then output "hit" on one line. If the number of Invaders on the field is less than  k , output "miss" on one line.
3 x r
Attack a range of  r  with a grenade launcher at a position  x  distance from the base. All Invaders on the field whose distance from the base is within  r  from the point of impact at a distance of  x  from the base will disappear from the field. Then output "bomb (number of Invaders defeated)" on one line. As a supplement, the base will not receive any damage from the grenade launcher.
4 k
If the number of Invaders on the field is equal to or greater than  k , output "distance (distance between the  k th Invader closest to the base and the base)" on one line. If the number of Invaders on the field is less than  k , output "distance -1" on one line.
That's all for the explanation of the operation. All hands, start the operation! ...Good luck.
Input
The input consists of multiple data sets. Each data set is represented as follows. The first line gives two integers  Q  and  L  separated by a space. The following  Q  lines give the queries described above. The input ends with two zeros.
Constraints
 The input satisfies the following conditions. 
All values in the input are integers.
1 ≤ Q ≤ 100000
1 ≤ L ≤ 109
1 ≤ d , k ≤ 109
0 ≤ x ≤ L 
0 ≤ r ≤ 109
There are no more than two Invaders at the same position.
There are no more than three data sets.
Output
For each data set, output according to the instruction of the query to be output. Output "end" at the end of each data set. 
Sample Input
18 10
0
4 1
1 1
4 1
0
1 1
0
2 2
1 10
0
1 1
0
1 5
3 4 0
3 4 1
0
9 10
4 1
2 2
3 5 5
0
4 1
2 2
3 5 5
0
2 1
0 0
Sample Output
distance 10
distance 9
hit
damage 2
bomb 1
bomb 2
end
distance -1
miss
bomb 0
distance 10
miss
bomb 1
hit
end

Extracted Specification

An integer Q (1 ≤ Q ≤ 100000), and an integer L (1 ≤ L ≤ 10^9).
A list of Q queries, where each query is either:
- A single integer 0.
- Two integers 1 and d (1 ≤ d ≤ 10^9).
- Two integers 2 and k (1 ≤ k ≤ 10^9).
- Three integers 3, x, and r (0 ≤ x ≤ L, 0 ≤ r ≤ 10^9).
- Two integers 4 and k (1 ≤ k ≤ 10^9).

Input ends with two zeros (0 0).

### Example Input:

```
18 10
0
4 1
1 1
4 1
0
1 1
0
2 2
1 10
0
1 1
0
1 5
3 4 0
3 4 1
0
9 10
4 1
2 2
3 5 5
0
4 1
2 2
3 5 5
0
2 1
0 0
```

### Function Signature:
Write a function `process_inputs(inputs)` that takes in the input.
```python
def process_inputs(inputs: List[Tuple[int, int, Optional[int], Optional[int]]]):
    '''
    inputs: a list of tuples representing the queries
    '''
```

Test Case Generator

Certainly! Here's a test case generator for the given problem "The Humans Braving the Invaders":

```python
import random

def generate_query(L):
    query_type = random.randint(0, 4)
    if query_type == 0:
        return "0"
    elif query_type == 1:
        d = random.randint(1, 10**9)
        return f"1 {d}"
    elif query_type == 2:
        k = random.randint(1, 10**9)
        return f"2 {k}"
    elif query_type == 3:
        x = random.randint(0, L)
        r = random.randint(0, 10**9)
        return f"3 {x} {r}"
    elif query_type == 4:
        k = random.randint(1, 10**9)
        return f"4 {k}"

def tcgen():
    datasets = []
    
    num_datasets = random.randint(1, 3)
    for _ in range(num_datasets):
        Q = random.randint(1, 100000)
        L = random.randint(1, 10**9)
        
        queries = []
        for _ in range(Q):
            queries.append(generate_query(L))
        
        datasets.append((Q, L, queries))
    
    return datasets

def format_dataset(dataset):
    Q, L, queries = dataset
    result = [f"{Q} {L}"] + queries
    return "\n".join(result)

def main():
    random.seed(42)  # For reproducibility
    test_cases = tcgen()
    for dataset in test_cases:
        print(format_dataset(dataset))
        print("end")
    print("0 0")

if __name__ == "__main__":
    main()
```

### Explanation:

1. **generate_query(L)**: Generates a single query based on the problem constraints.
2. **tcgen()**: Generates multiple datasets, each with its own set of queries.
3. **format_dataset(dataset)**: Formats a dataset into the required input format for the problem.
4. **main()**: Generates the test cases, prints them, and adds the required "end" and "0 0" at the end.

### Usage:

When you run the `main()` function, it will generate random test cases for the problem and print them out in the required format. It ensures that the constraints are respected for each query and dataset.

Note that I've added a seed for random to make the test case generation reproducible. You can remove or modify the seed for different results each time you run the generator.

Extract Arguments

def extract_arguments(fh):
    data_sets = []
    while True:
        first_line = fh.readline().strip()
        if first_line == "0 0":
            break
        Q, L = map(int, first_line.split())
        queries = []
        for _ in range(Q):
            query = list(map(int, fh.readline().strip().split()))
            queries.append(query)
        data_sets.append((Q, L, queries))
    return data_sets

# if __name__ == "__main__":
#     input_path = sys.argv[1]
#     with open(input_path, 'r') as fh:
#         data_sets = extract_arguments(fh)
#         for data_set in data_sets:
#             Q, L, queries = data_set
#             f(Q, L, queries)