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This repository was archived by the owner on Sep 9, 2026. It is now read-only.
This repository was archived by the owner on Sep 9, 2026. It is now read-only.

Release Notes聽#1825

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Description

@JoanFM

Release Note

This release contains 2 bug fixes.

馃悶 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.

馃 Contributors

We would like to thank all contributors to this release:

Activity

  1. scott-martens commented on Oct 23, 2023

    @scott-martens
    Contributor

    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."

    "

  2. scott-martens commented on Oct 23, 2023

    @scott-martens
    Contributor

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

  3. scott-martens commented on Oct 23, 2023

    @scott-martens
    Contributor

    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."

  4. scott-martens commented on Oct 23, 2023

    @scott-martens
    Contributor

    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:

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