Change "A recent version of numpy changed some equality semantics, where == is now being broadcast in more cases, breaking DocArray's from_dataframe() feature if the dataframe contains a numpy array. This is now fixed."

To: "A recent update to numpy has changed some of the version semantics, breaking DocArray's from_dataframe() method in some cases where if the dataframe contains a numpy array. This has now been now fixed."

"

from docarray.

"Type handling in python 3.9" has no bug ticket?

from docarray.

Change "Starting from Python 3.9, Optional.__args__ is not always available, leading to breaking code paths in our code base. This fixes that by utilizing the typing.get_args helper."

To: "Starting with Python 3.9, Optional.__args__ is not always available, leading to come compatibility problems. This has been fixed by using the typing.get_args helper."

from docarray.

Release Note

This release contains 1 bug fix.

:ladybug: Bug Fixes

From_dataframe with numpy==1.26.1 (#1823)

A recent update to numpy has changed some of the versioning semantics, breaking DocArray's from_dataframe() method in some cases where the dataframe contains a numpy array. This has now been now fixed.

class MyDoc(BaseDoc):
    embedding: NdArray
    text: str

da = DocVec[MyDoc](
    [
        MyDoc(
            embedding=[1, 2, 3, 4],
            text='hello',
        ),
        MyDoc(
            embedding=[5, 6, 7, 8],
            text='world',
        ),
    ],
    tensor_type=NdArray,
)
df_da = da.to_dataframe()
# This broke before and is now fixed
da2 = DocVec[MyDoc].from_dataframe(df_da, tensor_type=NdArray)

Type handling in python 3.9 (#1823)

Starting with Python 3.9, Optional.__args__ is not always available, leading to some compatibility problems. This has been fixed by using the typing.get_args helper.

:i_love_you_hand_sign: Contributors

We would like to thank all contributors to this release:

• Johannes Messner (@JohannesMessner )

from docarray.