refactor(utilsi): 优化项目结构

to_ids.py

@@ -1,39 +1,7 @@
+from utils import process_files, fetch_files
 from tokenizer import BpeTokenizer
-from tqdm import tqdm
-from typing import List
-import json
-import pickle as pkl
-import torch
 import os
 
-def fetch_files(directory):
-    return [os.path.join(root, f) for root, _, files in os.walk(directory) for f in files]
-
-def convert_to_ids(tokenizer: BpeTokenizer, file_path, out_file_path):
-    arrows = []
-    with open(file_path, "r") as f:
-        lines = f.readlines()
-        file_name = os.path.basename(file_path)
-        for line in tqdm(lines, desc=f"Processing {file_name}", leave=False):
-            line = json.loads(line)
-            ids = tokenizer.encode(line["text"])
-            arrow = torch.tensor(ids, dtype=torch.int32)
-            arrows.append(arrow)
-    
-    with open(out_file_path, "wb") as f:
-        tensor = torch.cat(arrows)
-        pkl.dump(tensor, f)
-        
-def process_files(tokenizer: BpeTokenizer, files: List[str], base_out_dir):
-    for file_path in files:
-        out_file_name = os.path.basename(file_path).replace(".jsonl", ".pkl")
-        out_file_path = os.path.join(base_out_dir, out_file_name)
-        
-        if not os.path.exists(out_file_path):
-            os.makedirs(os.path.dirname(out_file_path), exist_ok=True)
-         
-        convert_to_ids(tokenizer, file_path, out_file_path)
-
 
 if __name__ == "__main__":
     tokenizer = BpeTokenizer("tokenizer.json")