Release Notes
JoanFM opened this issue Β· comments
Release Note
This release contains 2 bug fixes.
π 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.
π€ Contributors
We would like to thank all contributors to this release:
- Johannes Messner (@JohannesMessner )
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."
"
"Type handling in python 3.9" has no bug ticket?
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."
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 )