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https://github.com/open-thought/reasoning-gym.git
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148 lines
5.5 KiB
Python
148 lines
5.5 KiB
Python
import cmath
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import math
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import random
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from dataclasses import dataclass
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from typing import Optional
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from ..factory import ProceduralDataset, register_dataset
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@dataclass
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class ComplexArithmeticConfig:
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min_real: int = -10
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max_real: int = 10
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min_imag: int = -10
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max_imag: int = 10
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operations: tuple[str, ...] = ("+", "-", "*", "/")
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seed: Optional[int] = None
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size: int = 500
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def validate(self) -> None:
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"""Validate configuration parameters."""
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assert self.max_real >= self.min_real, "max_real must be >= min_real"
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assert self.max_imag >= self.min_imag, "max_imag must be >= min_imag"
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assert all(op in ("+", "-", "*", "/") for op in self.operations), "invalid operator"
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class ComplexArithmeticDataset(ProceduralDataset):
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"""Generates complex number arithmetic problems."""
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def __init__(self, config: ComplexArithmeticConfig):
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self._prompt_templates = {
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"+": "Add the complex numbers: ({a}) + ({b})",
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"-": "Subtract the complex numbers: ({a}) - ({b})",
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"*": "Multiply the complex numbers: ({a}) × ({b})",
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"/": "Divide the complex numbers: ({a}) ÷ ({b})",
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}
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super().__init__(config=config, seed=config.seed, size=config.size)
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def _generate_complex(self, rng: random.Random) -> complex:
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"""Generate a random complex number."""
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real = rng.randint(self.config.min_real, self.config.max_real)
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imag = rng.randint(self.config.min_imag, self.config.max_imag)
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return complex(real, imag)
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def _format_complex(self, z: complex) -> str:
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"""Format complex number with 2 decimal places."""
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real, imag = z.real, z.imag
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if abs(imag) < 1e-10:
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return f"{real:.2f}"
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elif abs(real) < 1e-10:
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return f"{imag:.2f}i"
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else:
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sign = "+" if imag >= 0 else "-"
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return f"{real} {sign} {abs(imag)}i"
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def __getitem__(self, idx: int) -> dict:
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rng = random.Random(self.seed + idx)
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# Choose random operation
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op = rng.choice(self.config.operations)
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if op == "/":
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# For division, first generate the quotient (a) and divisor (b)
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# Then calculate the dividend (result) as a * b
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a = self._generate_complex(rng) # This will be the final result
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b = self._generate_complex(rng)
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while b == 0: # Ensure non-zero divisor
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b = self._generate_complex(rng)
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result = a # Store the intended result
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a = result * b # Calculate dividend to ensure whole number division
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else:
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# For other operations, generate numbers normally
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a = self._generate_complex(rng)
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b = self._generate_complex(rng)
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# Calculate result
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if op == "+":
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result = a + b
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elif op == "-":
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result = a - b
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else: # op == "*"
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result = a * b
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question = self._prompt_templates[op].format(a=self._format_complex(a), b=self._format_complex(b))
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return {
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"question": question,
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"answer": self._format_complex(result),
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"metadata": {
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"num1": (a.real, a.imag),
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"num2": (b.real, b.imag),
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"operation": op,
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"result": (int(result.real), int(result.imag)), # Convert to int since we ensure whole numbers
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},
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}
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@staticmethod
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def parse_string_to_complex(answer: str) -> complex:
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try:
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# Normalize the answer string by removing spaces and converting to lowercase
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answer = answer.replace(" ", "").lower()
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# Convert mathematical notation 'i' to Python's 'j' for complex numbers
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answer = answer.replace("i", "j")
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# Handle real numbers (no imaginary part)
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if "j" not in answer:
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student_result = complex(float(answer))
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else:
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# Handle cases like "j" or "2j" (implicit coefficient)
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if answer[0] == "j":
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# Convert "j" to "1j", "2j" remains unchanged
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answer = "1" + answer
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# Handle cases like "3j" where there's no explicit + or - before j
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elif answer[-1] == "j" and not any(c in answer[:-1] for c in "+-"):
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# Convert "3j" to "3+1j"
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answer = answer.replace("j", "+1j")
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# Ensure the string has an imaginary part, even if zero
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if "j" not in answer:
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answer += "+0j"
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# Parse the normalized string into a complex number
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student_result = complex(answer)
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except ValueError:
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return None
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return student_result
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def score_answer(self, answer: Optional[str], entry: dict) -> float:
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"""Score the answer using exponential distance-based scoring."""
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if answer is None:
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return 0.0
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metadata = entry["metadata"]
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try:
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student_result = self.parse_string_to_complex(answer)
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expected_result = complex(*metadata["result"])
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# Calculate distance-based score using exponential decay
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distance = abs(student_result - expected_result)
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score = min(1.0, math.exp(-distance)) # Add 'import math' at the top
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return score
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except (ValueError, TypeError):
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return 0.0
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register_dataset("complex_arithmetic", ComplexArithmeticDataset, ComplexArithmeticConfig)
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