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docs: fix documentation for pydantic v2 by samsja · Pull Request #1815 · docarray/docarray · GitHub

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docs: fix documentation for pydantic v2 #1815

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Merged
JoanFM merged 1 commit into from
Oct 2, 2023
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docs: fix documentation for pydantic v2 #1815

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9 changes: 5 additions & 4 deletions README.md
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Expand Up @@ -111,8 +111,8 @@ class MyDocument(BaseDoc):
image_url: ImageUrl # could also be VideoUrl, AudioUrl, etc.
image_tensor: Optional[
TorchTensor[1704, 2272, 3]
] # could also be NdArray or TensorflowTensor
embedding: Optional[TorchTensor]
] = None # could also be NdArray or TensorflowTensor
embedding: Optional[TorchTensor] = None
```

So not only can you define the types of your data, you can even **specify the shape of your tensors!**
Expand Down Expand Up @@ -643,8 +643,8 @@ import tensorflow as tf


class Podcast(BaseDoc):
audio_tensor: Optional[AudioTensorFlowTensor]
embedding: Optional[AudioTensorFlowTensor]
audio_tensor: Optional[AudioTensorFlowTensor] = None
embedding: Optional[AudioTensorFlowTensor] = None


class MyPodcastModel(tf.keras.Model):
Expand Down Expand Up @@ -713,6 +713,7 @@ async def create_item(doc: InputDoc) -> OutputDoc:
)
return doc


input_doc = InputDoc(text='', img=ImageDoc(tensor=np.random.random((3, 224, 224))))

async with AsyncClient(app=app, base_url="http://test") as ac:
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1 change: 0 additions & 1 deletion tests/documentation/test_docs.py
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Expand Up @@ -70,7 +70,6 @@ def test_files_good(fpath):
check_md_file(fpath=fpath, memory=True, keyword_ignore=['pickle', 'jac'])


@pytest.mark.skipif(is_pydantic_v2, reason="Not working with pydantic v2 for now")
def test_readme():
check_md_file(
fpath='README.md',
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