From a293e710290f91813cbbfa6144b2a2b1a3a59318 Mon Sep 17 00:00:00 2001
From: zhijianma <zhijian.mzj@alibaba-inc.com>
Date: Mon, 13 Nov 2023 22:54:35 +0800
Subject: [PATCH] docs: pre-commit style

---
 data_juicer/utils/constant.py    | 1 +
 data_juicer/utils/mm_utils.py    | 4 +++-
 data_juicer/utils/model_utils.py | 5 +++--
 3 files changed, 7 insertions(+), 3 deletions(-)

diff --git a/data_juicer/utils/constant.py b/data_juicer/utils/constant.py
index 401d408de..c3a68c32d 100644
--- a/data_juicer/utils/constant.py
+++ b/data_juicer/utils/constant.py
@@ -1,5 +1,6 @@
 DEFAULT_PREFIX = '__dj__'
 
+
 class Fields(object):
     stats = DEFAULT_PREFIX + 'stats__'
     meta = DEFAULT_PREFIX + 'meta__'
diff --git a/data_juicer/utils/mm_utils.py b/data_juicer/utils/mm_utils.py
index b67484062..6ed0931e0 100644
--- a/data_juicer/utils/mm_utils.py
+++ b/data_juicer/utils/mm_utils.py
@@ -1,8 +1,8 @@
-
 from datasets import Image
 
 from data_juicer.utils.constant import DEFAULT_PREFIX
 
+
 # A class to keep special tokens for multimodal information in the texts
 # The tokens in this class can be updated by corresponding arguments in config
 class SpecialTokens(object):
@@ -12,9 +12,11 @@ class SpecialTokens(object):
     # others
     eoc = f'<|{DEFAULT_PREFIX}eoc|>'
 
+
 def load_images(paths):
     return [load_image(path) for path in paths]
 
+
 def load_image(path):
     img_feature = Image()
     img = img_feature.decode_example(img_feature.encode_example(path))
diff --git a/data_juicer/utils/model_utils.py b/data_juicer/utils/model_utils.py
index e67b416f6..516dc7fe1 100644
--- a/data_juicer/utils/model_utils.py
+++ b/data_juicer/utils/model_utils.py
@@ -169,12 +169,13 @@ def prepare_huggingface_tokenizer(tokenizer_name):
                                               trust_remote_code=True)
     return tokenizer
 
+
 def prepare_huggingface_clip(clip_name):
     """
     Prepare and load a clip and processor from HuggingFace.
 
-    :param tokenizer_name: input tokenizer name
-    :return: a tokenizer instance.
+    :param clip_name: input clip name
+    :return: a pair of clip instance and processor instance.
     """
     from transformers import CLIPProcessor, CLIPModel