feat: joblib cache (#749)

* cache function

* fix test

* bin cache

* fix test

* fix test

* fix test

* cache for different source

* cache for localenv

* remove unnecessary log

* reformat

* remove unrelated modify

rdagent/components/coder/data_science/model/eval_tests/model_test.txt

@@ -35,6 +35,17 @@ print(f"test_ids length: {len(test_ids)}")
 
 train_X, val_X, train_y, val_y = train_test_split(X, y, test_size=0.8, random_state=42)
 
+
+import sys
+import reprlib
+from joblib.memory import MemorizedFunc
+
+
+def get_original_code(func):
+    if isinstance(func, MemorizedFunc):
+        return func.func.__code__
+    return func.__code__
+
 print("train_X:", aRepr.repr(train_X))
 print("train_y:", aRepr.repr(train_y))
 print("val_X:", aRepr.repr(val_X))
@@ -46,10 +57,12 @@ print(f"val_X.shape: {val_X.shape}" if hasattr(val_X, 'shape') else f"val_X leng
 print(f"val_y.shape: {val_y.shape}" if hasattr(val_y, 'shape') else f"val_y length: {len(val_y)}")
 
 
+
 def debug_info_print(func):
     def wrapper(*args, **kwargs):
+        original_code = get_original_code(func)
         def local_trace(frame, event, arg):
-            if event == "return" and frame.f_code == func.__code__:
+            if event == "return" and frame.f_code == original_code:
                 print("\n" + "="*20 + "Running model training code, local variable values:" + "="*20)
                 for k, v in frame.f_locals.items():
                     printed = aRepr.repr(v)