Merge branch 'main' of github.com:RAGEN-AI/vagen

from dataclasses import dataclass, field

from abc import ABC, abstractmethod

from typing import Optional, List, Union

import random

@dataclass

class BaseEnvConfig(ABC):

    format_reward: float = 0.5

            default: Default value if key is not found

        """

        return getattr(self, key, default)

    def generate_seeds(self,size,seed=0,n_candidate: int = 20000,) -> list:

        random.seed(seed)

        seeds=random.sample(range(0, n_candidate+size), size)

        return seeds

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import os

def permanent_seed(seed: int) -> None:

    """Set all random seeds for reproducibility across multiple libraries.

    Args:

        seed: Integer seed value to use across all random number generators

    """

    import random

    import numpy as np

    import torch

    import os

    # Basic Python random

    random.seed(seed)

    # NumPy

    np.random.seed(seed)

    # PyTorch

    torch.manual_seed(seed)

    torch.backends.cudnn.deterministic = True

    torch.backends.cudnn.benchmark = False

    # CUDA

    if torch.cuda.is_available():

        torch.cuda.manual_seed(seed)

        torch.cuda.manual_seed_all(seed)