docarray · anna-charlotte · Mar 22, 2023 · Mar 22, 2023 · Mar 22, 2023
diff --git a/docarray/documents/audio.py b/docarray/documents/audio.py
@@ -90,7 +90,7 @@ class MultiModalDoc(Document):
 
         # equivalent to
 
-        mmdoc.audio.bytes = mmdoc.audio.url.load_bytes()
+        mmdoc.audio.bytes_ = mmdoc.audio.url.load_bytes()
 
         mmdoc.audio.tensor, mmdoc.audio.frame_rate = mmdoc.audio.bytes.load()
 
@@ -99,7 +99,7 @@ class MultiModalDoc(Document):
     url: Optional[AudioUrl]
     tensor: Optional[AudioTensor]
     embedding: Optional[AnyEmbedding]
-    bytes: Optional[AudioBytes]
+    bytes_: Optional[AudioBytes]
     frame_rate: Optional[int]
 
     @classmethod

diff --git a/docarray/documents/image.py b/docarray/documents/image.py
@@ -47,6 +47,7 @@ class ImageDoc(BaseDocument):
         from docarray.typing import AnyEmbedding
         from typing import Optional
 
+
         # extend it
         class MyImage(ImageDoc):
             second_embedding: Optional[AnyEmbedding]
@@ -66,6 +67,7 @@ class MyImage(ImageDoc):
         from docarray import BaseDocument
         from docarray.documents import ImageDoc, TextDoc
 
+
         # compose it
         class MultiModalDoc(BaseDocument):
             image: Image
@@ -78,15 +80,15 @@ class MultiModalDoc(BaseDocument):
         )
         mmdoc.image.tensor = mmdoc.image.url.load()
         # or
-        mmdoc.image.bytes = mmdoc.image.url.load_bytes()
+        mmdoc.image.bytes_ = mmdoc.image.url.load_bytes()
 
         mmdoc.image.tensor = mmdoc.image.bytes.load()
     """
 
     url: Optional[ImageUrl]
     tensor: Optional[ImageTensor]
     embedding: Optional[AnyEmbedding]
-    bytes: Optional[ImageBytes]
+    bytes_: Optional[ImageBytes]
 
     @classmethod
     def validate(

diff --git a/docarray/documents/mesh/mesh_3d.py b/docarray/documents/mesh/mesh_3d.py
@@ -80,7 +80,7 @@ class MultiModalDoc(BaseDocument):
         mmdoc.mesh.tensors = mmdoc.mesh.url.load()
 
         # or
-        mmdoc.mesh.bytes = mmdoc.mesh.url.load_bytes()
+        mmdoc.mesh.bytes_ = mmdoc.mesh.url.load_bytes()
 
 
     You can display your 3D mesh in a notebook from either its url, or its tensors:
@@ -104,7 +104,7 @@ class MultiModalDoc(BaseDocument):
     url: Optional[Mesh3DUrl]
     tensors: Optional[VerticesAndFaces]
     embedding: Optional[AnyEmbedding]
-    bytes: Optional[bytes]
+    bytes_: Optional[bytes]
 
     @classmethod
     def validate(

diff --git a/docarray/documents/point_cloud/point_cloud_3d.py b/docarray/documents/point_cloud/point_cloud_3d.py
@@ -54,6 +54,7 @@ class PointCloud3D(BaseDocument):
         from docarray.typing import AnyEmbedding
         from typing import Optional
 
+
         # extend it
         class MyPointCloud3D(PointCloud3D):
             second_embedding: Optional[AnyEmbedding]
@@ -73,6 +74,7 @@ class MyPointCloud3D(PointCloud3D):
         from docarray import BaseDocument
         from docarray.documents import PointCloud3D, Text
 
+
         # compose it
         class MultiModalDoc(BaseDocument):
             point_cloud: PointCloud3D
@@ -89,7 +91,7 @@ class MultiModalDoc(BaseDocument):
 
         # or
 
-        mmdoc.point_cloud.bytes = mmdoc.point_cloud.url.load_bytes()
+        mmdoc.point_cloud.bytes_ = mmdoc.point_cloud.url.load_bytes()
 
 
     You can display your point cloud from either its url, or its tensors:
@@ -112,7 +114,7 @@ class MultiModalDoc(BaseDocument):
     url: Optional[PointCloud3DUrl]
     tensors: Optional[PointsAndColors]
     embedding: Optional[AnyEmbedding]
-    bytes: Optional[bytes]
+    bytes_: Optional[bytes]
 
     @classmethod
     def validate(

diff --git a/docarray/documents/text.py b/docarray/documents/text.py
@@ -78,7 +78,7 @@ class MultiModalDoc(BaseDocument):
 
         # or
 
-        mmdoc.text_doc.bytes = mmdoc.text_doc.url.load_bytes()
+        mmdoc.text_doc.bytes_ = mmdoc.text_doc.url.load_bytes()
 
 
     This Document can be compared against another Document of the same type or a string.
@@ -101,7 +101,7 @@ class MultiModalDoc(BaseDocument):
     text: Optional[str]
     url: Optional[TextUrl]
     embedding: Optional[AnyEmbedding]
-    bytes: Optional[bytes]
+    bytes_: Optional[bytes]
 
     def __init__(self, text: Optional[str] = None, **kwargs):
         if 'text' not in kwargs:

diff --git a/docarray/documents/video.py b/docarray/documents/video.py
@@ -93,7 +93,7 @@ class MultiModalDoc(BaseDocument):
 
         # or
 
-        mmdoc.video.bytes = mmdoc.video.url.load_bytes()
+        mmdoc.video.bytes_ = mmdoc.video.url.load_bytes()
 
     """
 
@@ -102,7 +102,7 @@ class MultiModalDoc(BaseDocument):
     tensor: Optional[VideoTensor]
     key_frame_indices: Optional[AnyTensor]
     embedding: Optional[AnyEmbedding]
-    bytes: Optional[bytes]
+    bytes_: Optional[bytes]
 
     @classmethod
     def validate(

diff --git a/tests/integrations/predefined_document/test_audio.py b/tests/integrations/predefined_document/test_audio.py
@@ -198,7 +198,7 @@ def test_audio_tensorflow():
 
 def test_audio_bytes():
     audio = parse_obj_as(AudioDoc, torch.zeros(10, 10, 3))
-    audio.bytes = audio.tensor.to_bytes()
+    audio.bytes_ = audio.tensor.to_bytes()
 
 
 def test_audio_shortcut_doc():

diff --git a/tests/integrations/predefined_document/test_image.py b/tests/integrations/predefined_document/test_image.py
@@ -70,7 +70,7 @@ class MyDoc(BaseDocument):
 def test_byte():
 
     img = ImageDoc(url=REMOTE_JPG)
-    img.bytes = img.url.load_bytes()
+    img.bytes_ = img.url.load_bytes()
 
 
 @pytest.mark.slow
@@ -79,7 +79,7 @@ def test_byte_from_tensor():
 
     img = ImageDoc(url=REMOTE_JPG)
     img.tensor = img.url.load()
-    img.bytes = img.tensor.to_bytes()
+    img.bytes_ = img.tensor.to_bytes()
 
-    assert isinstance(img.bytes, bytes)
-    assert len(img.bytes) > 0
+    assert isinstance(img.bytes_, bytes)
+    assert len(img.bytes_) > 0
diff --git a/tests/units/array/test_array_from_to_csv.py b/tests/units/array/test_array_from_to_csv.py
@@ -58,12 +58,12 @@ def test_from_csv_nested(nested_doc_cls):
         assert doc.image.__class__ == ImageDoc
         assert doc.image.tensor is None
         assert doc.image.embedding is None
-        assert doc.image.bytes is None
+        assert doc.image.bytes_ is None
 
         assert doc.image2.__class__ == ImageDoc
         assert doc.image2.tensor is None
         assert doc.image2.embedding is None
-        assert doc.image2.bytes is None
+        assert doc.image2.bytes_ is None
 
     assert da[0].image2.url == 'image_10.png'
     assert da[1].image2.url is None

diff --git a/tests/units/array/test_array_from_to_pandas.py b/tests/units/array/test_array_from_to_pandas.py
@@ -43,7 +43,7 @@ def test_to_from_pandas_df(nested_doc_cls):
             'image__url',
             'image__tensor',
             'image__embedding',
-            'image__bytes',
+            'image__bytes_',
         ]
     ).all()
 

diff --git a/tests/units/test_helper.py b/tests/units/test_helper.py
@@ -62,7 +62,7 @@ class Painting(BaseDocument):
         'img__url',
         'img__tensor',
         'img__embedding',
-        'img__bytes',
+        'img__bytes_',
     ]