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https://github.com/open-thought/reasoning-gym.git
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161 lines
5.1 KiB
Python
161 lines
5.1 KiB
Python
"""Print elements of a matrix in spiral order.
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A popular Leetcode problem:
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https://leetcode.com/problems/spiral-matrix/description/
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"""
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from dataclasses import dataclass
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from random import Random
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from typing import Any, Optional
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from ..coaching import AttributeType, BaseCurriculum, RangeAttributeDefinition
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from ..factory import ProceduralDataset, register_dataset
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QUESTION_TEMPLATE = """Given a matrix, your job is to generate a list of elements in spiral order, starting from the top-left element.
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The spiral order is clockwise, starting from the top-left corner. More precisely:
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- Start from the top-left corner and move right.
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- Move down towards the bottom-right corner.
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- Move left towards the bottom-left corner.
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- Move up towards the top-right corner.
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- Repeat the steps for the inner elements of the matrix until every entry is visited.
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Your output should be a space-separated list of integers, e.g. 1 2 3 4 5 6
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For the matrix below, what is the list of elements in spiral order?
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{matrix}
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"""
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@dataclass
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class SpiralMatrixConfig:
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"""Configuration for Spiral Matrix dataset generation"""
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min_n: int = 2 # Minimum number of rows/cols in the matrix
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max_n: int = 10 # Maximum number of rows/cols in the matrix
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size: int = 500 # Virtual dataset size
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seed: Optional[int] = None
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def validate(self):
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"""Validate configuration parameters"""
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assert 2 <= self.min_n <= self.max_n, "min_n must be between 2 and max_n"
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class SpiralMatrixDataset(ProceduralDataset):
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"""Generates Spiral Matrix exercises with configurable difficulty"""
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def __init__(self, config: SpiralMatrixConfig):
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super().__init__(config=config, seed=config.seed, size=config.size)
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def _get_matrix(self, rng: Random, n: int) -> list[list[int]]:
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"""Generate a random matrix"""
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numbers = [rng.randint(0, 9) for _ in range(n**2)]
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rng.shuffle(numbers)
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matrix = [numbers[i * n : (i + 1) * n] for i in range(n)]
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return matrix
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def _get_spiral(self, matrix: list[list[int]]) -> list[int]:
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"""Return the elements of the matrix in spiral order"""
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t, b = 0, len(matrix)
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l, r = 0, len(matrix[0])
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out = []
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while True:
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for i in range(l, r):
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out.append(matrix[t][i])
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t += 1
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if t == b:
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break
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for i in range(t, b):
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out.append(matrix[i][r - 1])
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r -= 1
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if l == r:
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break
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for i in range(r - 1, l - 1, -1):
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out.append(matrix[b - 1][i])
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b -= 1
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if t == b:
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break
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for i in range(b - 1, t - 1, -1):
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out.append(matrix[i][l])
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l += 1
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if l == r:
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break
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return out
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def _matrix_to_str(self, matrix: list[list[int]]) -> str:
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"""Get a string representation of the matrix"""
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return "\n".join(" ".join(str(x) for x in row) for row in matrix)
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def _list_to_str(self, array: list[int]) -> str:
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"""Get a string representation of the array"""
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return " ".join(str(x) for x in array)
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def __getitem__(self, idx: int) -> dict:
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"""Generate a single Spiral Matrix question"""
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rng = Random(self.seed + idx)
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n = rng.randint(2, self.config.max_n)
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matrix = self._get_matrix(rng, n)
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matrix_str = self._matrix_to_str(matrix)
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answer = self._get_spiral(matrix)
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answer_str = self._list_to_str(answer)
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return {
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"question": QUESTION_TEMPLATE.format(matrix=matrix_str),
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"answer": answer_str,
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"metadata": {
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"matrix": matrix,
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"solution": answer,
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"difficulty": {"n": n},
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},
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}
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def score_answer(self, answer: Optional[str], entry: dict[str, Any]) -> float:
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"""Overwrite this method in derived classes if a single oracle answer is not available."""
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oracle_answer = entry["answer"].strip()
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if answer is not None and len(answer) > 0:
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answer = answer.strip()
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# Exact match
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if answer == oracle_answer:
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return 1.0
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# Try to see if the model's answer is a python list
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try:
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answer = " ".join(str(item) for item in eval(answer))
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if answer == oracle_answer:
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return 0.1
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except Exception:
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pass
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return 0.0
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class SpiralMatrixCurriculum(BaseCurriculum):
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def __init__(self):
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super().__init__(SpiralMatrixCurriculum.__name__, SpiralMatrixConfig)
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# Define attributes
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self._define_attributes(
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RangeAttributeDefinition(
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name="n",
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levels=[10, 25, 50, 100],
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default_level=0,
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description="Number of rows/cols in the matrix",
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attr_type=AttributeType.APPEND,
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min_value=2,
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lower_field_name="min_n",
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upper_field_name="max_n",
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)
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)
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register_dataset("spiral_matrix", SpiralMatrixDataset, SpiralMatrixConfig, SpiralMatrixCurriculum)
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