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fix: column names and apply map #2492

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merged 6 commits into from Oct 18, 2023
Merged

fix: column names and apply map #2492

merged 6 commits into from Oct 18, 2023

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LumberjackUsingMath
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@LumberjackUsingMath LumberjackUsingMath commented Oct 17, 2023 •
edited

Feature or Bugfix

  • Bugfix

Detail

  • if the SparQL query does not return any results then the _execute_sparql returns an empty data frame although column names were defined in the query
  • the df.applymap() is not inplace and has no effect

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By submitting this pull request, I confirm that my contribution is made under the terms of the Apache 2.0 license.

@LumberjackUsingMath LumberjackUsingMath changed the title fix column names and apply map fix: column names and apply map Oct 17, 2023
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LeonLuttenberger reviewed Oct 17, 2023
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@LeonLuttenberger LeonLuttenberger left a comment •
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Thanks for creating this, it's a great addition to the codebase! I added a few comments and questions. Also the static check is failing because of formatting. That can be quickly fixed by just running ./fix.sh

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AWS CodeBuild CI Report

  • CodeBuild project: GitHubCodeBuild8756EF16-4rfo0GHQ0u9a
  • Commit ID: e9f9995
  • Result: SUCCEEDED
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AWS CodeBuild CI Report

  • CodeBuild project: GitHubDistributedCodeBuild6-jWcl5DLmvupS
  • Commit ID: a6e3b5b
  • Result: SUCCEEDED
  • Build Logs (available for 30 days)

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@LeonLuttenberger LeonLuttenberger linked an issue Oct 17, 2023 that may be closed by this pull request
Neptune exectue sparql does not applymap and returns a data frame without columns if the sparql returns nothing #2491
Closed
@jaidisido jaidisido merged commit 1cf4261 into aws:main Oct 18, 2023
9 checks passed
@LumberjackUsingMath LumberjackUsingMath deleted the fix/return_empty_dataframe_with_column_if_no_sparql_results_and_applymap branch October 18, 2023 12:37
sawyerh pushed a commit to sawyerh/highlights that referenced this pull request Nov 1, 2023
@renovate
Update Serverless (Python) (#103)
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This PR contains the following updates:

| Package | Change | Age | Adoption | Passing | Confidence |
|---|---|---|---|---|---|
|
[aws-lambda-powertools](https://togithub.com/aws-powertools/powertools-lambda-python)
([changelog](https://togithub.com/aws-powertools/powertools-lambda-python/releases))
| `2.23.1` -> `2.26.0` |
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|
| [awswrangler](https://aws-sdk-pandas.readthedocs.io/)
([source](https://togithub.com/aws/aws-sdk-pandas)) | `3.3.0` -> `3.4.1`
|
[![age](https://developer.mend.io/api/mc/badges/age/pypi/awswrangler/3.4.1?slim=true)](https://docs.renovatebot.com/merge-confidence/)
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|
| [numpy](https://numpy.org)
([source](https://togithub.com/numpy/numpy),
[changelog](https://numpy.org/doc/stable/release)) | `1.25.2` ->
`1.26.1` |
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|
| [openai](https://togithub.com/openai/openai-python) | `0.28.0` ->
`0.28.1` |
[![age](https://developer.mend.io/api/mc/badges/age/pypi/openai/0.28.1?slim=true)](https://docs.renovatebot.com/merge-confidence/)
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|
| [pandas](https://pandas.pydata.org)
([source](https://togithub.com/pandas-dev/pandas)) | `2.1.0` -> `2.1.2`
|
[![age](https://developer.mend.io/api/mc/badges/age/pypi/pandas/2.1.2?slim=true)](https://docs.renovatebot.com/merge-confidence/)
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|
| [pytest](https://docs.pytest.org/en/latest/)
([source](https://togithub.com/pytest-dev/pytest),
[changelog](https://docs.pytest.org/en/stable/changelog.html)) | `7.4.1`
-> `7.4.3` |
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| [pytest-mock](https://togithub.com/pytest-dev/pytest-mock)
([changelog](https://pytest-mock.readthedocs.io/en/latest/changelog.html))
| `3.11.1` -> `3.12.0` |
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|

---

### Release Notes

<details>
<summary>aws-powertools/powertools-lambda-python
(aws-lambda-powertools)</summary>

###
[`v2.26.0`](https://togithub.com/aws-powertools/powertools-lambda-python/blob/HEAD/CHANGELOG.md#v2260---2023-10-13)

[Compare
Source](https://togithub.com/aws-powertools/powertools-lambda-python/compare/v2.25.1...v2.26.0)

#### \[v2.26.0] - 2023-10-13

###
[`v2.25.1`](https://togithub.com/aws-powertools/powertools-lambda-python/blob/HEAD/CHANGELOG.md#v2251---2023-09-22)

[Compare
Source](https://togithub.com/aws-powertools/powertools-lambda-python/compare/v2.25.0...v2.25.1)

#### \[v2.25.1] - 2023-09-22

###
[`v2.25.0`](https://togithub.com/aws-powertools/powertools-lambda-python/blob/HEAD/CHANGELOG.md#v2250---2023-09-15)

[Compare
Source](https://togithub.com/aws-powertools/powertools-lambda-python/compare/v2.24.0...v2.25.0)

#### \[v2.25.0] - 2023-09-15

###
[`v2.24.0`](https://togithub.com/aws-powertools/powertools-lambda-python/blob/HEAD/CHANGELOG.md#v2240---2023-09-08)

[Compare
Source](https://togithub.com/aws-powertools/powertools-lambda-python/compare/v2.23.1...v2.24.0)

#### \[v2.24.0] - 2023-09-08

</details>

<details>
<summary>aws/aws-sdk-pandas (awswrangler)</summary>

###
[`v3.4.1`](https://togithub.com/aws/aws-sdk-pandas/releases/tag/3.4.1):
AWS SDK for pandas 3.4.1

[Compare
Source](https://togithub.com/aws/aws-sdk-pandas/compare/3.4.0...3.4.1)

#### Features/Enhancements 🚀

- feat: Add schema evolution to `athena.to_iceberg` by
[@&#8203;LeonLuttenberger](https://togithub.com/LeonLuttenberger) in
[https://github.com/aws/aws-sdk-pandas/pull/2465](https://togithub.com/aws/aws-sdk-pandas/pull/2465)
- feat: Athena - add `client_request_token` by
[@&#8203;kukushking](https://togithub.com/kukushking) in
[https://github.com/aws/aws-sdk-pandas/pull/2474](https://togithub.com/aws/aws-sdk-pandas/pull/2474)
- feat: Redshift data api - allow all auth combinations by
[@&#8203;kukushking](https://togithub.com/kukushking) in
[https://github.com/aws/aws-sdk-pandas/pull/2475](https://togithub.com/aws/aws-sdk-pandas/pull/2475)
- feat: add columns comments to iceberg by
[@&#8203;frenchytheasian](https://togithub.com/frenchytheasian) in
[https://github.com/aws/aws-sdk-pandas/pull/2482](https://togithub.com/aws/aws-sdk-pandas/pull/2482)

#### Bug fixes 🐛

- fix: Add missing call to `sanitize_column_name` in `create_*_table` by
[@&#8203;LeonLuttenberger](https://togithub.com/LeonLuttenberger) in
[https://github.com/aws/aws-sdk-pandas/pull/2464](https://togithub.com/aws/aws-sdk-pandas/pull/2464)
- fix: Hyphenated Iceberg table names by
[@&#8203;LeonLuttenberger](https://togithub.com/LeonLuttenberger) in
[https://github.com/aws/aws-sdk-pandas/pull/2466](https://togithub.com/aws/aws-sdk-pandas/pull/2466)
- fix: `requests_aws4auth` not being treated as an optional dependency
by [@&#8203;LeonLuttenberger](https://togithub.com/LeonLuttenberger) in
[https://github.com/aws/aws-sdk-pandas/pull/2471](https://togithub.com/aws/aws-sdk-pandas/pull/2471)
- fix: KeyError exception in athena wrangler by
[@&#8203;rabingaire](https://togithub.com/rabingaire) in
[https://github.com/aws/aws-sdk-pandas/pull/2483](https://togithub.com/aws/aws-sdk-pandas/pull/2483)
- fix: column names and apply map by
[@&#8203;LumberjackUsingMath](https://togithub.com/LumberjackUsingMath)
in
[https://github.com/aws/aws-sdk-pandas/pull/2492](https://togithub.com/aws/aws-sdk-pandas/pull/2492)
- fix: Gremlin batch size calc by
[@&#8203;kukushking](https://togithub.com/kukushking) in
[https://github.com/aws/aws-sdk-pandas/pull/2496](https://togithub.com/aws/aws-sdk-pandas/pull/2496)

#### Documentation 📚

- docs: Update layers.rst - add cn-north-1 & cn-northwest-1 by
[@&#8203;kukushking](https://togithub.com/kukushking) in
[https://github.com/aws/aws-sdk-pandas/pull/2477](https://togithub.com/aws/aws-sdk-pandas/pull/2477)

#### New Contributors

- [@&#8203;rabingaire](https://togithub.com/rabingaire) made their first
contribution in
[https://github.com/aws/aws-sdk-pandas/pull/2483](https://togithub.com/aws/aws-sdk-pandas/pull/2483)
- [@&#8203;frenchytheasian](https://togithub.com/frenchytheasian) made
their first contribution in
[https://github.com/aws/aws-sdk-pandas/pull/2482](https://togithub.com/aws/aws-sdk-pandas/pull/2482)
-
[@&#8203;LumberjackUsingMath](https://togithub.com/LumberjackUsingMath)
made their first contribution in
[https://github.com/aws/aws-sdk-pandas/pull/2492](https://togithub.com/aws/aws-sdk-pandas/pull/2492)

**Full Changelog**:
https://github.com/aws/aws-sdk-pandas/compare/3.4.0...3.4.1

###
[`v3.4.0`](https://togithub.com/aws/aws-sdk-pandas/releases/tag/3.4.0):
AWS SDK for pandas 3.4.0

[Compare
Source](https://togithub.com/aws/aws-sdk-pandas/compare/3.3.0...3.4.0)

#### Features/Enhancements 🚀

- Geospatial - parse Athena geospatial types via geopandas by
[@&#8203;kukushking](https://togithub.com/kukushking) in
[#&#8203;2346](https://togithub.com/aws/aws-sdk-pandas/issues/2346)
- Allow group identifiers to be used in `wr.cloudwatch` queries by
[@&#8203;LeonLuttenberger](https://togithub.com/LeonLuttenberger) in
[#&#8203;2430](https://togithub.com/aws/aws-sdk-pandas/issues/2430)
- Add ignore null store parquet metadata by
[@&#8203;raaidarshad](https://togithub.com/raaidarshad) in
[#&#8203;2450](https://togithub.com/aws/aws-sdk-pandas/issues/2450)

#### Bug fixes 🐛

- Add missing boto3 session in `athena.to_iceberg` wait_query by
[@&#8203;jaidisido](https://togithub.com/jaidisido) in
[#&#8203;2428](https://togithub.com/aws/aws-sdk-pandas/issues/2428)
- Add catalog ID in `athena.to_iceberg` by
[@&#8203;jaidisido](https://togithub.com/jaidisido) in
[#&#8203;2446](https://togithub.com/aws/aws-sdk-pandas/issues/2446)
- Return None for missing column and partition key comment by
[@&#8203;robert-schmidtke](https://togithub.com/robert-schmidtke) in
[#&#8203;2449](https://togithub.com/aws/aws-sdk-pandas/issues/2449)
- Fix urllib3 error when building AWS Lambda Layers by
[@&#8203;LeonLuttenberger](https://togithub.com/LeonLuttenberger) in
[#&#8203;2447](https://togithub.com/aws/aws-sdk-pandas/issues/2447)
- Duplicate schema argument in `wr.s3.to_parquet` by
[@&#8203;kukushking](https://togithub.com/kukushking) in
[#&#8203;2455](https://togithub.com/aws/aws-sdk-pandas/issues/2455)

#### Tests 🧪

- Test dependabot groups feature by
[@&#8203;jaidisido](https://togithub.com/jaidisido) in
[#&#8203;2426](https://togithub.com/aws/aws-sdk-pandas/issues/2426)

#### New Contributors

- [@&#8203;raaidarshad](https://togithub.com/raaidarshad) made their
first contribution in
[https://github.com/aws/aws-sdk-pandas/pull/2450](https://togithub.com/aws/aws-sdk-pandas/pull/2450)

**Full Changelog**:
https://github.com/aws/aws-sdk-pandas/compare/3.3.0...3.4.0

</details>

<details>
<summary>numpy/numpy (numpy)</summary>

### [`v1.26.1`](https://togithub.com/numpy/numpy/releases/tag/v1.26.1)

[Compare
Source](https://togithub.com/numpy/numpy/compare/v1.26.0...v1.26.1)

##### NumPy 1.26.1 Release Notes

NumPy 1.26.1 is a maintenance release that fixes bugs and regressions
discovered after the 1.26.0 release. In addition, it adds new
functionality for detecting BLAS and LAPACK when building from source.
Highlights are:

-   Improved detection of BLAS and LAPACK libraries for meson builds
-   Pickle compatibility with the upcoming NumPy 2.0.

The 1.26.release series is the last planned minor release series before
NumPy 2.0. The Python versions supported by this release are 3.9-3.12.

##### Build system changes

##### Improved BLAS/LAPACK detection and control

Auto-detection for a number of BLAS and LAPACK is now implemented for
Meson. By default, the build system will try to detect MKL, Accelerate
(on macOS >=13.3), OpenBLAS, FlexiBLAS, BLIS and reference BLAS/LAPACK.
Support for MKL was significantly improved, and support for FlexiBLAS
was added.

New command-line flags are available to further control the selection of
the BLAS and LAPACK libraries to build against.

To select a specific library, use the config-settings interface via
`pip` or `pypa/build`. E.g., to select `libblas`/`liblapack`, use:

$ pip install numpy -Csetup-args=-Dblas=blas
-Csetup-args=-Dlapack=lapack
    $ # OR
$ python -m build . -Csetup-args=-Dblas=blas
-Csetup-args=-Dlapack=lapack

This works not only for the libraries named above, but for any library
that Meson is able to detect with the given name through `pkg-config` or
CMake.

Besides `-Dblas` and `-Dlapack`, a number of other new flags are
available to control BLAS/LAPACK selection and behavior:

-   `-Dblas-order` and `-Dlapack-order`: a list of library names to
    search for in order, overriding the default search order.
-   `-Duse-ilp64`: if set to `true`, use ILP64 (64-bit integer) BLAS and
    LAPACK. Note that with this release, ILP64 support has been extended
    to include MKL and FlexiBLAS. OpenBLAS and Accelerate were supported
    in previous releases.
-   `-Dallow-noblas`: if set to `true`, allow NumPy to build with its
    internal (very slow) fallback routines instead of linking against an
    external BLAS/LAPACK library. *The default for this flag may be
    changed to \`\`true\`\` in a future 1.26.x release, however for
    1.26.1 we'd prefer to keep it as \`\`false\`\` because if failures
    to detect an installed library are happening, we'd like a bug
    report for that, so we can quickly assess whether the new
    auto-detection machinery needs further improvements.*
-   `-Dmkl-threading`: to select the threading layer for MKL. There are
    four options: `seq`, `iomp`, `gomp` and `tbb`. The default is
    `auto`, which selects from those four as appropriate given the
    version of MKL selected.
-   `-Dblas-symbol-suffix`: manually select the symbol suffix to use for
    the library - should only be needed for linking against libraries
    built in a non-standard way.

##### New features

##### `numpy._core` submodule stubs

`numpy._core` submodule stubs were added to provide compatibility with
pickled arrays created using NumPy 2.0 when running Numpy 1.26.

##### Contributors

A total of 13 people contributed to this release. People with a "+" by
their names contributed a patch for the first time.

-   Andrew Nelson
-   Anton Prosekin +
-   Charles Harris
-   Chongyun Lee +
-   Ivan A. Melnikov +
-   Jake Lishman +
-   Mahder Gebremedhin +
-   Mateusz Sokół
-   Matti Picus
-   Munira Alduraibi +
-   Ralf Gommers
-   Rohit Goswami
-   Sayed Adel

##### Pull requests merged

A total of 20 pull requests were merged for this release.

- [#&#8203;24742](https://togithub.com/numpy/numpy/pull/24742): MAINT:
Update cibuildwheel version
- [#&#8203;24748](https://togithub.com/numpy/numpy/pull/24748): MAINT:
fix version string in wheels built with setup.py
- [#&#8203;24771](https://togithub.com/numpy/numpy/pull/24771): BLD,
BUG: Fix build failure for host flags e.g. `-march=native`...
- [#&#8203;24773](https://togithub.com/numpy/numpy/pull/24773): DOC:
Updated the f2py docs to remove a note on -fimplicit-none
- [#&#8203;24776](https://togithub.com/numpy/numpy/pull/24776): BUG: Fix
SIMD f32 trunc test on s390x when baseline is none
- [#&#8203;24785](https://togithub.com/numpy/numpy/pull/24785): BLD: add
libquadmath to licences and other tweaks
([#&#8203;24753](https://togithub.com/numpy/numpy/issues/24753))
- [#&#8203;24786](https://togithub.com/numpy/numpy/pull/24786): MAINT:
Activate `use-compute-credits` for Cirrus.
- [#&#8203;24803](https://togithub.com/numpy/numpy/pull/24803): BLD:
updated vendored-meson/meson for mips64 fix
- [#&#8203;24804](https://togithub.com/numpy/numpy/pull/24804): MAINT:
fix licence path win
- [#&#8203;24813](https://togithub.com/numpy/numpy/pull/24813): BUG: Fix
order of Windows OS detection macros.
- [#&#8203;24831](https://togithub.com/numpy/numpy/pull/24831): BUG,
SIMD: use scalar cmul on bad Apple clang x86\_64
([#&#8203;24828](https://togithub.com/numpy/numpy/issues/24828))
- [#&#8203;24840](https://togithub.com/numpy/numpy/pull/24840): BUG: Fix
DATA statements for f2py
- [#&#8203;24870](https://togithub.com/numpy/numpy/pull/24870): API: Add
`NumpyUnpickler` for backporting
- [#&#8203;24872](https://togithub.com/numpy/numpy/pull/24872): MAINT:
Xfail test failing on PyPy.
- [#&#8203;24879](https://togithub.com/numpy/numpy/pull/24879): BLD: fix
math func feature checks, fix FreeBSD build, add CI...
- [#&#8203;24899](https://togithub.com/numpy/numpy/pull/24899): ENH:
meson: implement BLAS/LAPACK auto-detection and many CI...
- [#&#8203;24902](https://togithub.com/numpy/numpy/pull/24902): DOC: add
a 1.26.1 release notes section for BLAS/LAPACK build...
- [#&#8203;24906](https://togithub.com/numpy/numpy/pull/24906): MAINT:
Backport `numpy._core` stubs. Remove `NumpyUnpickler`
- [#&#8203;24911](https://togithub.com/numpy/numpy/pull/24911): MAINT:
Bump pypa/cibuildwheel from 2.16.1 to 2.16.2
- [#&#8203;24912](https://togithub.com/numpy/numpy/pull/24912): BUG:
loongarch doesn't use REAL(10)

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numpy-1.26.1.tar.gz

### [`v1.26.0`](https://togithub.com/numpy/numpy/releases/tag/v1.26.0)

[Compare
Source](https://togithub.com/numpy/numpy/compare/v1.25.2...v1.26.0)

### NumPy 1.26.0 Release Notes

The NumPy 1.26.0 release is a continuation of the 1.25.x release cycle
with the addition of Python 3.12.0 support. Python 3.12 dropped
distutils, consequently supporting it required finding a replacement for
the setup.py/distutils based build system NumPy was using. We have
chosen to use the Meson build system instead, and this is the first
NumPy release supporting it. This is also the first release that
supports Cython 3.0 in addition to retaining 0.29.X compatibility.
Supporting those two upgrades was a large project, over 100 files have
been touched in this release. The changelog doesn't capture the full
extent of the work, special thanks to Ralf Gommers, Sayed Adel, Stéfan
van der Walt, and Matti Picus who did much of the work in the main
development branch.

The highlights of this release are:

-   Python 3.12.0 support.
-   Cython 3.0.0 compatibility.
-   Use of the Meson build system
-   Updated SIMD support
-   f2py fixes, meson and bind(x) support
-   Support for the updated Accelerate BLAS/LAPACK library

The Python versions supported in this release are 3.9-3.12.

#### New Features

##### Array API v2022.12 support in `numpy.array_api`

`numpy.array_api` now full supports the
[v2022.12 version](https://data-apis.org/array-api/2022.12) of the array
API standard. Note that this does not
yet include the optional `fft` extension in the standard.

([gh-23789](https://togithub.com/numpy/numpy/pull/23789))

##### Support for the updated Accelerate BLAS/LAPACK library

Support for the updated Accelerate BLAS/LAPACK library, including ILP64
(64-bit integer) support, in macOS 13.3 has been added. This brings
arm64 support, and significant performance improvements of up to 10x for
commonly used linear algebra operations. When Accelerate is selected at
build time, the 13.3+ version will automatically be used if available.

([gh-24053](https://togithub.com/numpy/numpy/pull/24053))

##### `meson` backend for `f2py`

`f2py` in compile mode (i.e. `f2py -c`) now accepts the
`--backend meson` option. This is the default option for Python `3.12`
on-wards. Older versions will still default to `--backend distutils`.

To support this in realistic use-cases, in compile mode `f2py` takes a
`--dep` flag one or many times which maps to `dependency()` calls in the
`meson` backend, and does nothing in the `distutils` backend.

There are no changes for users of `f2py` only as a code generator, i.e.
without `-c`.

([gh-24532](https://togithub.com/numpy/numpy/pull/24532))

##### `bind(c)` support for `f2py`

Both functions and subroutines can be annotated with `bind(c)`. `f2py`
will handle both the correct type mapping, and preserve the unique label
for other `C` interfaces.

**Note:** `bind(c, name = 'routine_name_other_than_fortran_routine')` is
not honored by the `f2py` bindings by design, since `bind(c)` with the
`name` is meant to guarantee only the same name in `C` and `Fortran`,
not in `Python` and `Fortran`.

([gh-24555](https://togithub.com/numpy/numpy/pull/24555))

#### Improvements

##### `iso_c_binding` support for `f2py`

Previously, users would have to define their own custom `f2cmap` file to
use type mappings defined by the Fortran2003 `iso_c_binding` intrinsic
module. These type maps are now natively supported by `f2py`

([gh-24555](https://togithub.com/numpy/numpy/pull/24555))

#### Build system changes

In this release, NumPy has switched to Meson as the build system and
meson-python as the build backend. Installing NumPy or building a wheel
can be done with standard tools like `pip` and `pypa/build`. The
following are supported:

-   Regular installs: `pip install numpy` or (in a cloned repo)
    `pip install .`
-   Building a wheel: `python -m build` (preferred), or `pip wheel .`
-   Editable installs: `pip install -e . --no-build-isolation`
-   Development builds through the custom CLI implemented with
    [spin](https://togithub.com/scientific-python/spin): `spin build`.

All the regular `pip` and `pypa/build` flags (e.g.,
`--no-build-isolation`) should work as expected.

##### NumPy-specific build customization

Many of the NumPy-specific ways of customizing builds have changed. The
`NPY_*` environment variables which control BLAS/LAPACK, SIMD,
threading, and other such options are no longer supported, nor is a
`site.cfg` file to select BLAS and LAPACK. Instead, there are
command-line flags that can be passed to the build via `pip`/`build`'s
config-settings interface. These flags are all listed in the
`meson_options.txt` file in the root of the repo. Detailed documented
will be available before the final 1.26.0 release; for now please see
[the SciPy "building from source"
docs](http://scipy.github.io/devdocs/building/index.html)
since most build customization works in an almost identical way in SciPy
as it
does in NumPy.

##### Build dependencies

While the runtime dependencies of NumPy have not changed, the build
dependencies have. Because we temporarily vendor Meson and meson-python,
there are several new dependencies - please see the `[build-system]`
section of `pyproject.toml` for details.

##### Troubleshooting

This build system change is quite large. In case of unexpected issues,
it is still possible to use a `setup.py`-based build as a temporary
workaround (on Python 3.9-3.11, not 3.12), by copying
`pyproject.toml.setuppy` to `pyproject.toml`. However, please open an
issue with details on the NumPy issue tracker. We aim to phase out
`setup.py` builds as soon as possible, and therefore would like to see
all potential blockers surfaced early on in the 1.26.0 release cycle.

#### Contributors

A total of 20 people contributed to this release. People with a "+" by
their names contributed a patch for the first time.

-   [@&#8203;DWesl](https://togithub.com/DWesl)
-   Albert Steppi +
-   Bas van Beek
-   Charles Harris
-   Developer-Ecosystem-Engineering
-   Filipe Laíns +
-   Jake Vanderplas
-   Liang Yan +
-   Marten van Kerkwijk
-   Matti Picus
-   Melissa Weber Mendonça
-   Namami Shanker
-   Nathan Goldbaum
-   Ralf Gommers
-   Rohit Goswami
-   Sayed Adel
-   Sebastian Berg
-   Stefan van der Walt
-   Tyler Reddy
-   Warren Weckesser

#### Pull requests merged

A total of 59 pull requests were merged for this release.

- [#&#8203;24305](https://togithub.com/numpy/numpy/pull/24305): MAINT:
Prepare 1.26.x branch for development
- [#&#8203;24308](https://togithub.com/numpy/numpy/pull/24308): MAINT:
Massive update of files from main for numpy 1.26
- [#&#8203;24322](https://togithub.com/numpy/numpy/pull/24322): CI: fix
wheel builds on the 1.26.x branch
- [#&#8203;24326](https://togithub.com/numpy/numpy/pull/24326): BLD:
update openblas to newer version
- [#&#8203;24327](https://togithub.com/numpy/numpy/pull/24327): TYP:
Trim down the `_NestedSequence.__getitem__` signature
- [#&#8203;24328](https://togithub.com/numpy/numpy/pull/24328): BUG: fix
choose refcount leak
- [#&#8203;24337](https://togithub.com/numpy/numpy/pull/24337): TST: fix
running the test suite in builds without BLAS/LAPACK
- [#&#8203;24338](https://togithub.com/numpy/numpy/pull/24338): BUG:
random: Fix generation of nan by dirichlet.
- [#&#8203;24340](https://togithub.com/numpy/numpy/pull/24340): MAINT:
Dependabot updates from main
- [#&#8203;24342](https://togithub.com/numpy/numpy/pull/24342): MAINT:
Add back NPY_RUN_MYPY_IN_TESTSUITE=1
- [#&#8203;24353](https://togithub.com/numpy/numpy/pull/24353): MAINT:
Update `extbuild.py` from main.
- [#&#8203;24356](https://togithub.com/numpy/numpy/pull/24356): TST: fix
distutils tests for deprecations in recent setuptools...
- [#&#8203;24375](https://togithub.com/numpy/numpy/pull/24375): MAINT:
Update cibuildwheel to version 2.15.0
- [#&#8203;24381](https://togithub.com/numpy/numpy/pull/24381): MAINT:
Fix codespaces setup.sh script
- [#&#8203;24403](https://togithub.com/numpy/numpy/pull/24403): ENH:
Vendor meson for multi-target build support
- [#&#8203;24404](https://togithub.com/numpy/numpy/pull/24404): BLD:
vendor meson-python to make the Windows builds with SIMD...
- [#&#8203;24405](https://togithub.com/numpy/numpy/pull/24405): BLD,
SIMD: The meson CPU dispatcher implementation
- [#&#8203;24406](https://togithub.com/numpy/numpy/pull/24406): MAINT:
Remove versioneer
- [#&#8203;24409](https://togithub.com/numpy/numpy/pull/24409): REL:
Prepare for the NumPy 1.26.0b1 release.
- [#&#8203;24453](https://togithub.com/numpy/numpy/pull/24453): MAINT:
Pin upper version of sphinx.
- [#&#8203;24455](https://togithub.com/numpy/numpy/pull/24455): ENH: Add
prefix to \_ALIGN Macro
- [#&#8203;24456](https://togithub.com/numpy/numpy/pull/24456): BUG:
cleanup warnings
- [#&#8203;24460](https://togithub.com/numpy/numpy/pull/24460): MAINT:
Upgrade to spin 0.5
- [#&#8203;24495](https://togithub.com/numpy/numpy/pull/24495): BUG:
`asv dev` has been removed, use `asv run`.
- [#&#8203;24496](https://togithub.com/numpy/numpy/pull/24496): BUG: Fix
meson build failure due to unchanged inplace auto-generated...
- [#&#8203;24521](https://togithub.com/numpy/numpy/pull/24521): BUG: fix
issue with git-version script, needs a shebang to run
- [#&#8203;24522](https://togithub.com/numpy/numpy/pull/24522): BUG: Use
a default assignment for git_hash
- [#&#8203;24524](https://togithub.com/numpy/numpy/pull/24524): BUG: fix
NPY_cast_info error handling in choose
- [#&#8203;24526](https://togithub.com/numpy/numpy/pull/24526): BUG: Fix
common block handling in f2py
- [#&#8203;24541](https://togithub.com/numpy/numpy/pull/24541): CI,TYP:
Bump mypy to 1.4.1
- [#&#8203;24542](https://togithub.com/numpy/numpy/pull/24542): BUG: Fix
assumed length f2py regression
- [#&#8203;24544](https://togithub.com/numpy/numpy/pull/24544): MAINT:
Harmonize fortranobject
- [#&#8203;24545](https://togithub.com/numpy/numpy/pull/24545): TYP: add
kind argument to numpy.isin type specification
- [#&#8203;24561](https://togithub.com/numpy/numpy/pull/24561): BUG: fix
comparisons between masked and unmasked structured arrays
- [#&#8203;24590](https://togithub.com/numpy/numpy/pull/24590): CI:
Exclude import libraries from list of DLLs on Cygwin.
- [#&#8203;24591](https://togithub.com/numpy/numpy/pull/24591): BLD: fix
`_umath_linalg` dependencies
- [#&#8203;24594](https://togithub.com/numpy/numpy/pull/24594): MAINT:
Stop testing on ppc64le.
- [#&#8203;24602](https://togithub.com/numpy/numpy/pull/24602): BLD:
meson-cpu: fix SIMD support on platforms with no features
- [#&#8203;24606](https://togithub.com/numpy/numpy/pull/24606): BUG:
Change Cython `binding` directive to "False".
- [#&#8203;24613](https://togithub.com/numpy/numpy/pull/24613): ENH:
Adopt new macOS Accelerate BLAS/LAPACK Interfaces, including...
- [#&#8203;24614](https://togithub.com/numpy/numpy/pull/24614): DOC:
Update building docs to use Meson
- [#&#8203;24615](https://togithub.com/numpy/numpy/pull/24615): TYP: Add
the missing `casting` keyword to `np.clip`
- [#&#8203;24616](https://togithub.com/numpy/numpy/pull/24616): TST:
convert cython test from setup.py to meson
- [#&#8203;24617](https://togithub.com/numpy/numpy/pull/24617): MAINT:
Fixup `fromnumeric.pyi`
- [#&#8203;24622](https://togithub.com/numpy/numpy/pull/24622): BUG,
ENH: Fix `iso_c_binding` type maps and fix `bind(c)`...
- [#&#8203;24629](https://togithub.com/numpy/numpy/pull/24629): TYP:
Allow `binary_repr` to accept any object implementing...
- [#&#8203;24630](https://togithub.com/numpy/numpy/pull/24630): TYP:
Explicitly declare `dtype` and `generic` hashable
- [#&#8203;24637](https://togithub.com/numpy/numpy/pull/24637): ENH:
Refactor the typing "reveal" tests using `typing.assert_type`
- [#&#8203;24638](https://togithub.com/numpy/numpy/pull/24638): MAINT:
Bump actions/checkout from 3.6.0 to 4.0.0
- [#&#8203;24647](https://togithub.com/numpy/numpy/pull/24647): ENH:
`meson` backend for `f2py`
- [#&#8203;24648](https://togithub.com/numpy/numpy/pull/24648): MAINT:
Refactor partial load Workaround for Clang
- [#&#8203;24653](https://togithub.com/numpy/numpy/pull/24653): REL:
Prepare for the NumPy 1.26.0rc1 release.
- [#&#8203;24659](https://togithub.com/numpy/numpy/pull/24659): BLD:
allow specifying the long double format to avoid the runtime...
- [#&#8203;24665](https://togithub.com/numpy/numpy/pull/24665): BLD: fix
bug in random.mtrand extension, don't link libnpyrandom
- [#&#8203;24675](https://togithub.com/numpy/numpy/pull/24675): BLD:
build wheels for 32-bit Python on Windows, using MSVC
- [#&#8203;24700](https://togithub.com/numpy/numpy/pull/24700): BLD: fix
issue with compiler selection during cross compilation
- [#&#8203;24701](https://togithub.com/numpy/numpy/pull/24701): BUG: Fix
data stmt handling for complex values in f2py
- [#&#8203;24707](https://togithub.com/numpy/numpy/pull/24707): TYP: Add
annotations for the py3.12 buffer protocol
- [#&#8203;24718](https://togithub.com/numpy/numpy/pull/24718): DOC: fix
a few doc build issues on 1.26.x and update `spin docs`...

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</details>

<details>
<summary>openai/openai-python (openai)</summary>

###
[`v0.28.1`](https://togithub.com/openai/openai-python/releases/tag/v0.28.1)

[Compare
Source](https://togithub.com/openai/openai-python/compare/v0.28.0...v0.28.1)

#### What's Changed

- Update README.md to fix the fine-tuning model delete example by
[@&#8203;logankilpatrick](https://togithub.com/logankilpatrick) in
[https://github.com/openai/openai-python/pull/601](https://togithub.com/openai/openai-python/pull/601)
- Revamp README to make examples front and center by
[@&#8203;logankilpatrick](https://togithub.com/logankilpatrick) in
[https://github.com/openai/openai-python/pull/603](https://togithub.com/openai/openai-python/pull/603)
- Update pointer to Jupyter notebooks as finetuning doesn't exist by
[@&#8203;shapor](https://togithub.com/shapor) in
[https://github.com/openai/openai-python/pull/477](https://togithub.com/openai/openai-python/pull/477)
- Update the wandb logger by
[@&#8203;morganmcg1](https://togithub.com/morganmcg1) in
[https://github.com/openai/openai-python/pull/590](https://togithub.com/openai/openai-python/pull/590)
- \[azure] enable audio/whisper support by
[@&#8203;kristapratico](https://togithub.com/kristapratico) in
[https://github.com/openai/openai-python/pull/613](https://togithub.com/openai/openai-python/pull/613)
- Update nested_resource_class_methods.py by
[@&#8203;00arthur00](https://togithub.com/00arthur00) in
[https://github.com/openai/openai-python/pull/612](https://togithub.com/openai/openai-python/pull/612)
- Fix: SSE Stream parser expects additional space after colon "data:" by
[@&#8203;michaelfeil](https://togithub.com/michaelfeil) in
[https://github.com/openai/openai-python/pull/559](https://togithub.com/openai/openai-python/pull/559)
- 🐛 fixed asyncio streaming bugs by
[@&#8203;hynky1999](https://togithub.com/hynky1999) in
[https://github.com/openai/openai-python/pull/584](https://togithub.com/openai/openai-python/pull/584)
- Bugfix: Add param positional arg to InvalidRequestError by
[@&#8203;wdhorton](https://togithub.com/wdhorton) in
[https://github.com/openai/openai-python/pull/573](https://togithub.com/openai/openai-python/pull/573)

#### New Contributors

- [@&#8203;shapor](https://togithub.com/shapor) made their first
contribution in
[https://github.com/openai/openai-python/pull/477](https://togithub.com/openai/openai-python/pull/477)
- [@&#8203;morganmcg1](https://togithub.com/morganmcg1) made their first
contribution in
[https://github.com/openai/openai-python/pull/590](https://togithub.com/openai/openai-python/pull/590)
- [@&#8203;00arthur00](https://togithub.com/00arthur00) made their first
contribution in
[https://github.com/openai/openai-python/pull/612](https://togithub.com/openai/openai-python/pull/612)
- [@&#8203;michaelfeil](https://togithub.com/michaelfeil) made their
first contribution in
[https://github.com/openai/openai-python/pull/559](https://togithub.com/openai/openai-python/pull/559)
- [@&#8203;hynky1999](https://togithub.com/hynky1999) made their first
contribution in
[https://github.com/openai/openai-python/pull/584](https://togithub.com/openai/openai-python/pull/584)
- [@&#8203;wdhorton](https://togithub.com/wdhorton) made their first
contribution in
[https://github.com/openai/openai-python/pull/573](https://togithub.com/openai/openai-python/pull/573)

**Full Changelog**:
https://github.com/openai/openai-python/compare/v0.27.10...v0.28.1

</details>

<details>
<summary>pandas-dev/pandas (pandas)</summary>

###
[`v2.1.2`](https://togithub.com/pandas-dev/pandas/releases/tag/v2.1.2):
Pandas 2.1.2

[Compare
Source](https://togithub.com/pandas-dev/pandas/compare/v2.1.1...v2.1.2)

This is a patch release in the 2.1.x series and includes some regression
and bug fixes. We recommend that all users upgrade to this version.

See the [full
whatsnew](https://pandas.pydata.org/pandas-docs/version/2.1.2/whatsnew/v2.1.2.html)
for a list of all the changes.

The release will be available on the defaults and conda-forge channels:

    conda install pandas

Or via PyPI:

    python3 -m pip install --upgrade pandas

Please report any issues with the release on the [pandas issue
tracker](https://togithub.com/pandas-dev/pandas/issues).

Thanks to all the contributors who made this release possible.

###
[`v2.1.1`](https://togithub.com/pandas-dev/pandas/releases/tag/v2.1.1):
Pandas 2.1.1

[Compare
Source](https://togithub.com/pandas-dev/pandas/compare/v2.1.0...v2.1.1)

This is a patch release in the 2.1.x series and includes some regression
and bug fixes. We recommend that all users upgrade to this version.

See the [full
whatsnew](https://pandas.pydata.org/pandas-docs/version/2.1.1/whatsnew/v2.1.1.html)
for a list of all the changes.

The release will be available on the defaults and conda-forge channels:

    conda install pandas

Or via PyPI:

    python3 -m pip install --upgrade pandas

Please report any issues with the release on the [pandas issue
tracker](https://togithub.com/pandas-dev/pandas/issues).

Thanks to all the contributors who made this release possible.

</details>

<details>
<summary>pytest-dev/pytest (pytest)</summary>

###
[`v7.4.3`](https://togithub.com/pytest-dev/pytest/releases/tag/v7.4.3):
pytest 7.4.3 (2023-10-24)

[Compare
Source](https://togithub.com/pytest-dev/pytest/compare/7.4.2...v7.4.3)

## Bug Fixes

- [#&#8203;10447](https://togithub.com/pytest-dev/pytest/issues/10447):
Markers are now considered in the reverse mro order to ensure base class
markers are considered first -- this resolves a regression.

- [#&#8203;11239](https://togithub.com/pytest-dev/pytest/issues/11239):
Fixed `:=` in asserts impacting unrelated test cases.

- [#&#8203;11439](https://togithub.com/pytest-dev/pytest/issues/11439):
Handled an edge case where :data:`sys.stderr` might already be closed
when :ref:`faulthandler` is tearing down.

###
[`v7.4.2`](https://togithub.com/pytest-dev/pytest/releases/tag/7.4.2):
pytest 7.4.2 (2023-09-07)

[Compare
Source](https://togithub.com/pytest-dev/pytest/compare/7.4.1...7.4.2)

##### Bug Fixes

- [#&#8203;11237](https://togithub.com/pytest-dev/pytest/issues/11237):
Fix doctest collection of `functools.cached_property` objects.

- [#&#8203;11306](https://togithub.com/pytest-dev/pytest/issues/11306):
Fixed bug using `--importmode=importlib` which would cause package
`__init__.py` files to be imported more than once in some cases.

- [#&#8203;11367](https://togithub.com/pytest-dev/pytest/issues/11367):
Fixed bug where `user_properties` where not being saved in the JUnit XML
file if a fixture failed during teardown.

- [#&#8203;11394](https://togithub.com/pytest-dev/pytest/issues/11394):
Fixed crash when parsing long command line arguments that might be
interpreted as files.

##### Improved Documentation

- [#&#8203;11391](https://togithub.com/pytest-dev/pytest/issues/11391):
Improved disclaimer on pytest plugin reference page to better indicate
this is an automated, non-curated listing.

</details>

<details>
<summary>pytest-dev/pytest-mock (pytest-mock)</summary>

###
[`v3.12.0`](https://togithub.com/pytest-dev/pytest-mock/blob/HEAD/CHANGELOG.rst#3120-2023-10-19)

[Compare
Source](https://togithub.com/pytest-dev/pytest-mock/compare/v3.11.1...v3.12.0)

-   Added support for Python 3.12.
-   Dropped support for EOL Python 3.7.
- `mocker.resetall()` now also resets mocks created by
`mocker.create_autospec` (`#390`\_).

..
\_#390:[https://github.com/pytest-dev/pytest-mock/pull/390](https://togithub.com/pytest-dev/pytest-mock/pull/390)0

</details>

---

### Configuration

📅 **Schedule**: Branch creation - "before 4am on the first day of the
month" (UTC), Automerge - At any time (no schedule defined).

🚦 **Automerge**: Disabled by config. Please merge this manually once you
are satisfied.

♻ **Rebasing**: Whenever PR becomes conflicted, or you tick the
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@LeonLuttenberger LeonLuttenberger LeonLuttenberger approved these changes

@jaidisido jaidisido jaidisido approved these changes

@kukushking kukushking Awaiting requested review from kukushking

@malachi-constant malachi-constant Awaiting requested review from malachi-constant

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@LumberjackUsingMath @malachi-constant @LeonLuttenberger @jaidisido @JulianAWS