feat: uhm, i changed some things

CNN-model/utils.py

@@ -1,20 +0,0 @@
-import torch
-from torch.utils.data import TensorDataset
-import matplotlib.pyplot as plt
-
-
-def make_context_pairs(data: bytes, context_length: int) -> TensorDataset:
-    data = torch.tensor(list(data), dtype=torch.long)
-    sample_count = data.shape[0] - context_length
-    x = data.unfold(0, context_length, 1)[:sample_count]
-    y = data[context_length:]
-    return TensorDataset(x, y)
-
-def print_distribution(from_to: tuple[int, int], probabilities: list[float]):
-    plt.hist(range(from_to[0], from_to[1]), weights=probabilities)
-    plt.show()
-
-
-def load_data(path: str) -> bytes:
-    with open(path, "rb") as f:
-        return f.read()