reasoning-gym/reasoning_gym/algorithmic/spiral_matrix.py

143 lines
4.6 KiB
Python

"""Print elements of a matrix in spiral order.
A popular Leetcode problem:
https://leetcode.com/problems/spiral-matrix/description/
"""
from dataclasses import dataclass
from random import Random
from typing import Any, Optional
from ..factory import ProceduralDataset, register_dataset
QUESTION_TEMPLATE = """Given a matrix, your job is to generate a list of elements in spiral order, starting from the top-left element.
Example:
- Input: For the matrix below, what is the list of elements in spiral order?
1 2 3
4 5 6
7 8 9
- Output: 1 2 3 6 9 8 7 4 5
- Explanation:
- We start from the top-left element (1) and move right until we reach the end of the row: 1 2 3
- Then, we move down until we reach the last column: 1 2 3 6 9
- Next, we move left until we reach the first column: 1 2 3 6 9 8 7
- Then, we move up until we reach the second row (i.e. one below the previously traversed row): 1 2 3 6 9 8 7 4
- Finally, we move right until we reach the second to last column: 1 2 3 6 9 8 7 4 5
- The output format is a space-separated list of elements in spiral order (as opposed to a python list)
For the matrix below, what is the list of elements in spiral order?
{matrix}
"""
@dataclass
class SpiralMatrixConfig:
"""Configuration for Spiral Matrix dataset generation"""
max_n: int = 10 # Maximum number of rows/cols in the matrix
size: int = 500 # Virtual dataset size
seed: Optional[int] = None
def validate(self):
"""Validate configuration parameters"""
assert 2 <= self.max_n, "max_n must be at least 2"
class SpiralMatrixDataset(ProceduralDataset):
"""Generates Spiral Matrix exercises with configurable difficulty"""
def __init__(self, config: SpiralMatrixConfig):
super().__init__(config=config, seed=config.seed, size=config.size)
def _get_matrix(self, rng: Random) -> list[list[int]]:
"""Generate a random matrix"""
n = rng.randint(2, self.config.max_n)
numbers = [rng.randint(0, 9) for _ in range(n**2)]
rng.shuffle(numbers)
matrix = [numbers[i * n : (i + 1) * n] for i in range(n)]
return matrix
def _get_spiral(self, matrix: list[list[int]]) -> list[int]:
"""Return the elements of the matrix in spiral order"""
t, b = 0, len(matrix)
l, r = 0, len(matrix[0])
out = []
while True:
for i in range(l, r):
out.append(matrix[t][i])
t += 1
if t == b:
break
for i in range(t, b):
out.append(matrix[i][r - 1])
r -= 1
if l == r:
break
for i in range(r - 1, l - 1, -1):
out.append(matrix[b - 1][i])
b -= 1
if t == b:
break
for i in range(b - 1, t - 1, -1):
out.append(matrix[i][l])
l += 1
if l == r:
break
return out
def _matrix_to_str(self, matrix: list[list[int]]) -> str:
"""Get a string representation of the matrix"""
return "\n".join(" ".join(str(x) for x in row) for row in matrix)
def _list_to_str(self, array: list[int]) -> str:
"""Get a string representation of the array"""
return " ".join(str(x) for x in array)
def __getitem__(self, idx: int) -> dict:
"""Generate a single Spiral Matrix question"""
rng = Random(self.seed + idx)
matrix = self._get_matrix(rng)
matrix_str = self._matrix_to_str(matrix)
answer = self._get_spiral(matrix)
answer_str = self._list_to_str(answer)
return {
"question": QUESTION_TEMPLATE.format(matrix=matrix_str),
"answer": answer_str,
"metadata": {"matrix": matrix, "solution": answer},
}
def score_answer(self, answer: Optional[str], entry: dict[str, Any]) -> float:
"""Overwrite this method in derived classes if a single oracle answer is not available."""
oracle_answer = entry["answer"].strip()
if answer is not None and len(answer) > 0:
answer = answer.strip()
# Exact match
if answer == oracle_answer:
return 1.0
# Try to see if the model's answer is a python list
try:
answer = " ".join(str(item) for item in eval(answer))
if answer == oracle_answer:
return 0.5
else:
return 0.01
except Exception as e:
return 0.01
return 0.0
register_dataset("spiral_matrix", SpiralMatrixDataset, SpiralMatrixConfig)