Orig Description
3D Printing
We are designing an installation art piece consisting of
a number of cubes with 3D printing technology for submitting one to
Installation art Contest with Printed Cubes (ICPC).
At this time, we are trying to model a piece consisting of exactly k cubes
of the same size facing the same direction.
First, using a CAD system,
we prepare n (n ≥ k) positions as candidates
in the 3D space where cubes can be placed.
When cubes would be placed at all the candidate positions,
the following three conditions are satisfied.
Each cube may overlap zero, one or two other cubes, but not three or more.
When a cube overlap two other cubes, those two cubes do not overlap.
Two non-overlapping cubes do not touch at their surfaces, edges or corners.
Second, choosing appropriate k different positions from n candidates
and placing cubes there,
we obtain a connected polyhedron as a union of the k cubes.
When we use a 3D printer,
we usually print only the thin surface of a 3D object.
In order to save the amount of filament material for the 3D printer,
we want to find the polyhedron with the minimal surface area.
Your job is to find the polyhedron with the minimal surface area
consisting of k connected
cubes placed at k selected positions among n given ones.
Figure E1. A polyhedron formed with connected identical cubes.
Input
The input consists of multiple datasets.
The number of datasets is at most 100.
Each dataset is in the following format.
n k s
x1 y1 z1
...
xn yn zn
In the first line of a dataset,
n is the number of the candidate positions,
k is the number of the cubes to form the connected polyhedron,
and s is the edge length of cubes.
n, k and s are integers separated by a space.
The following n lines specify the n candidate positions.
In the i-th line, there are three integers
xi,
yi and
zi
that specify the coordinates of a position,
where the corner of the cube with the smallest coordinate values
may be placed.
Edges of the cubes are to be aligned with either of three axes.
All the values of coordinates are integers separated by a space.
The three conditions on the candidate positions mentioned above are satisfied.
The parameters satisfy the following conditions:
1 ≤ k ≤ n ≤ 2000, 3 ≤ s ≤ 100, and
-4×107 ≤ xi, yi, zi ≤ 4×107.
The end of the input is indicated by a line containing three zeros
separated by a space.
Output
For each dataset, output a single line containing one integer
indicating the surface area of the connected polyhedron with
the minimal surface area.
When no k cubes form a connected polyhedron, output -1.
Sample Input
1 1 100
100 100 100
6 4 10
100 100 100
106 102 102
112 110 104
104 116 102
100 114 104
92 107 100
10 4 10
-100 101 100
-108 102 120
-116 103 100
-124 100 100
-132 99 100
-92 98 100
-84 100 140
-76 103 100
-68 102 100
-60 101 100
10 4 10
100 100 100
108 101 100
116 102 100
124 100 100
132 102 100
200 100 103
192 100 102
184 100 101
176 100 100
168 100 103
4 4 10
100 100 100
108 94 100
116 100 100
108 106 100
23 6 10
100 100 100
96 109 100
100 118 100
109 126 100
118 126 100
127 118 98
127 109 104
127 100 97
118 91 102
109 91 100
111 102 100
111 102 109
111 102 118
111 102 91
111 102 82
111 114 96
111 114 105
102 114 114
93 114 114
84 114 105
84 114 96
93 114 87
102 114 87
10 3 10
100 100 100
116 116 102
132 132 104
148 148 106
164 164 108
108 108 108
124 124 106
140 140 104
156 156 102
172 172 100
0 0 0
Output for the Sample Input
60000
1856
-1
1632
1856
2796
1640
Extracted Specification
An integer n (1 ≤ n ≤ 2000), an integer k (1 ≤ k ≤ n), and an integer s (3 ≤ s ≤ 100), which are separated by spaces.
n lines follow, each containing three integers x, y, z (-4×10^7 ≤ x, y, z ≤ 4×10^7), separated by spaces.
The input consists of multiple datasets. The end of the input is indicated by a line containing three zeros separated by a space.
### Example Input:
```
1 1 100
100 100 100
6 4 10
100 100 100
106 102 102
112 110 104
104 116 102
100 114 104
92 107 100
0 0 0
```
### Function Signature:
Write a function f(inputs) that takes in the input.
```python
def f(inputs: List[Tuple[int, int, int, List[Tuple[int, int, int]]]]):
'''
inputs: a list of tuples, where each tuple contains an integer, an integer, an integer, and a list of tuples of three integers
'''
```
Test Case Generator
To create a test case generator for the given problem statement "3D Printing", we need to generate multiple datasets following the specified format. Here's a Python function to generate such test cases:
```python
import random
def generate_dataset():
# Randomly choose n and k such that 1 ≤ k ≤ n ≤ 2000
n = random.randint(1, 2000)
k = random.randint(1, n)
s = random.randint(3, 100)
# Generate n candidate positions
positions = []
for _ in range(n):
x = random.randint(-4 * 10**7, 4 * 10**7)
y = random.randint(-4 * 10**7, 4 * 10**7)
z = random.randint(-4 * 10**7, 4 * 10**7)
positions.append((x, y, z))
return n, k, s, positions
def tcgen():
# Number of datasets
num_datasets = random.randint(1, 100)
datasets = []
for _ in range(num_datasets):
n, k, s, positions = generate_dataset()
datasets.append((n, k, s, positions))
# Add the ending indicator
datasets.append((0, 0, 0, []))
return datasets
def print_dataset(dataset):
for n, k, s, positions in dataset:
if n == 0 and k == 0 and s == 0:
print(f"0 0 0")
else:
print(f"{n} {k} {s}")
for x, y, z in positions:
print(f"{x} {y} {z}")
# Generate and print datasets
dataset = tcgen()
print_dataset(dataset)
```
### Explanation:
1. **Function `generate_dataset`**:
- Randomly selects values for `n` (number of candidate positions), `k` (number of cubes to form the connected polyhedron), and `s` (edge length of cubes).
- Generates `n` positions with coordinates in the range [-4 * 10^7, 4 * 10^7].
2. **Function `tcgen`**:
- Randomly determines the number of datasets (between 1 and 100).
- Calls `generate_dataset` to create each dataset.
- Appends a line with `0 0 0` at the end to indicate the end of input.
3. **Function `print_dataset`**:
- Formats and prints each dataset in the required format.
You can call `tcgen()` to generate the test cases and use `print_dataset()` to print them in the correct format. This script ensures that all generated datasets conform to the constraints given in the problem statement.
Extract Arguments
def extract_arguments(fh):
inputs = []
while True:
n, k, s = map(int, fh.readline().strip().split())
if n == 0 and k == 0 and s == 0:
break
positions = []
for _ in range(n):
x, y, z = map(int, fh.readline().strip().split())
positions.append((x, y, z))
inputs.append((n, k, s, positions))
return inputs
# Example usage
# with open('input.txt', 'r') as fh:
# inputs = extract_arguments(fh)
# for dataset in inputs:
# print(dataset)