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https://github.com/open-thought/reasoning-gym.git
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126 lines
4.5 KiB
Python
126 lines
4.5 KiB
Python
"""Number sorting task generator"""
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from dataclasses import dataclass
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import random
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from random import Random
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from typing import List, Optional, Tuple
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@dataclass
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class NumberSortingConfig:
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"""Configuration for number sorting task generation"""
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min_numbers: int = 3 # Minimum numbers to sort
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max_numbers: int = 10 # Maximum numbers to sort
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min_decimals: int = 0 # Minimum decimal places
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max_decimals: int = 2 # Maximum decimal places
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min_value: float = -100.0 # Minimum value
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max_value: float = 100.0 # Maximum value
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seed: Optional[int] = None
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size: int = 500 # Virtual dataset size
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def validate(self):
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"""Validate configuration parameters"""
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assert self.min_numbers > 0, "min_numbers must be positive"
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assert self.min_numbers <= self.max_numbers, "max_numbers must be >= min_numbers"
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assert self.min_decimals >= 0, "min_decimals must be non-negative"
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assert self.min_decimals <= self.max_decimals, "max_decimals must be >= min_decimals"
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assert self.min_value < self.max_value, "max_value must be > min_value"
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class NumberSortingDataset:
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"""Generates number sorting tasks"""
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def __init__(self, config: NumberSortingConfig):
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self.config = config
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self.config.validate()
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self.seed = config.seed if config.seed is not None else Random().randint(0, 2**32)
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def __len__(self) -> int:
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return self.config.size
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def __iter__(self):
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self._current_idx = 0
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return self
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def __next__(self):
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if self._current_idx >= self.config.size:
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raise StopIteration
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item = self[self._current_idx]
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self._current_idx += 1
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return item
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def _format_number(self, num: float, decimals: int) -> str:
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"""Format number with specified decimal places"""
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formatted = f"{num:.{decimals}f}"
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# Reparse to ensure exact decimal representation
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return f"{float(formatted):.{decimals}f}"
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def _generate_numbers(self, rng: Random) -> Tuple[List[float], List[str]]:
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"""Generate list of numbers and their string representations"""
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count = rng.randint(self.config.min_numbers, self.config.max_numbers)
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decimals = rng.randint(self.config.min_decimals, self.config.max_decimals)
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numbers = []
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number_strs = []
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for _ in range(count):
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num = rng.uniform(self.config.min_value, self.config.max_value)
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num_str = self._format_number(num, decimals)
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# Reparse to ensure exact value
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num = float(num_str)
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numbers.append(num)
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number_strs.append(num_str)
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return numbers, number_strs
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def __getitem__(self, idx: int) -> dict:
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"""Generate a single sorting task"""
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rng = Random(self.seed + idx)
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numbers, number_strs = self._generate_numbers(rng)
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# Generate both ascending and descending answers
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asc_numbers = sorted(numbers)
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desc_numbers = sorted(numbers, reverse=True)
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# Format answers as string lists
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decimals = len(number_strs[0].split('.')[-1]) if '.' in number_strs[0] else 0
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asc_answer = [self._format_number(n, decimals) for n in asc_numbers]
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desc_answer = [self._format_number(n, decimals) for n in desc_numbers]
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# Randomly choose ascending or descending
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is_ascending = rng.choice([True, False])
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direction = "ascending" if is_ascending else "descending"
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answer = asc_answer if is_ascending else desc_answer
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return {
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"question": f"Sort these numbers in {direction} order: {', '.join(number_strs)}",
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"answer": str(answer),
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"metadata": {
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"original_numbers": number_strs,
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"direction": direction,
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"sorted_numbers": answer
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}
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}
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def number_sorting_dataset(
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min_numbers: int = 3,
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max_numbers: int = 10,
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min_decimals: int = 0,
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max_decimals: int = 2,
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min_value: float = -100.0,
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max_value: float = 100.0,
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seed: Optional[int] = None,
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size: int = 500,
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) -> NumberSortingDataset:
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"""Create a NumberSortingDataset with the given configuration."""
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config = NumberSortingConfig(
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min_numbers=min_numbers,
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max_numbers=max_numbers,
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min_decimals=min_decimals,
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max_decimals=max_decimals,
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min_value=min_value,
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max_value=max_value,
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seed=seed,
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size=size,
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)
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return NumberSortingDataset(config)
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