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import torch
DATA_PATH = "train_and_test_hibrit_dataset_v0.csv"
MODEL_SAVE_PATH = "best_gat_model_last.pth"
TIME_WINDOW = 10
TEST_SIZE = 0.3
HIDDEN_CHANNELS = 32
HEADS = 2
DROPOUT = 0.2
LEARNING_RATE = 0.005
WEIGHT_DECAY = 1e-4
EPOCHS = 40
BATCH_SIZE = 16
DEVICE = torch.device('cuda' if torch.cuda.is_available() else 'cpu')
print("Using device:", DEVICE)