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softboiler / boilercv

Computer vision routines suitable for nucleate pool boiling bubble analysis
https://softboiler.org/boilercv/
MIT License
0 stars 2 forks source link

Update core #157

Closed renovate[bot] closed 8 months ago

renovate[bot] commented 8 months ago

Mend Renovate

This PR contains the following updates:

Package Change Age Adoption Passing Confidence Type Update
dvc ==3.39.0 -> ==3.45.0 age adoption passing confidence minor
geopandas ==0.14.2 -> ==0.14.3 age adoption passing confidence patch
iterative/dvc 3.39.0 -> 3.45.0 age adoption passing confidence repository minor
matplotlib (source) ==3.8.2 -> ==3.8.3 age adoption passing confidence patch
numpy (source, changelog) ==1.26.3 -> ==1.26.4 age adoption passing confidence patch
pandocfilters ==1.5.0 -> ==1.5.1 age adoption passing confidence patch
ploomber-engine ==0.0.31 -> ==0.0.32 age adoption passing confidence patch
pydantic (changelog) ==2.5.3 -> ==2.6.1 age adoption passing confidence minor
pyside6 (changelog) ==6.6.1 -> ==6.6.2 age adoption passing confidence patch
pytest-plt ==1.1.0 -> ==1.1.1 age adoption passing confidence patch
ruamel.yaml ==0.18.5 -> ==0.18.6 age adoption passing confidence patch
scipy (source) ==1.11.4 -> ==1.12.0 age adoption passing confidence minor
seaborn ==0.13.1 -> ==0.13.2 age adoption passing confidence patch
shapely ==2.0.2 -> ==2.0.3 age adoption passing confidence patch
tqdm (changelog) ==4.66.1 -> ==4.66.2 age adoption passing confidence patch

Note: The pre-commit manager in Renovate is not supported by the pre-commit maintainers or community. Please do not report any problems there, instead create a Discussion in the Renovate repository if you have any questions.

Release Notes

iterative/dvc (dvc) ### [`v3.45.0`](https://togithub.com/iterative/dvc/releases/tag/3.45.0) [Compare Source](https://togithub.com/iterative/dvc/compare/3.44.0...3.45.0) ##### What's Changed ##### Other Changes - simplify message in studio login/logout flow by [@​skshetry](https://togithub.com/skshetry) in [https://github.com/iterative/dvc/pull/10297](https://togithub.com/iterative/dvc/pull/10297) - deps: bump dvc-studio-client to >=0.19,<1 by [@​skshetry](https://togithub.com/skshetry) in [https://github.com/iterative/dvc/pull/10298](https://togithub.com/iterative/dvc/pull/10298) - \[pre-commit.ci] pre-commit autoupdate by [@​pre-commit-ci](https://togithub.com/pre-commit-ci) in [https://github.com/iterative/dvc/pull/10301](https://togithub.com/iterative/dvc/pull/10301) - deps: bump dvc-data >=3.13.0 by [@​efiop](https://togithub.com/efiop) in [https://github.com/iterative/dvc/pull/10304](https://togithub.com/iterative/dvc/pull/10304) **Full Changelog**: https://github.com/iterative/dvc/compare/3.44.0...3.45.0 ### [`v3.44.0`](https://togithub.com/iterative/dvc/releases/tag/3.44.0) [Compare Source](https://togithub.com/iterative/dvc/compare/3.43.1...3.44.0) ##### What's Changed ##### 🚀 New Features and Enhancements - status: add option to skip imports by [@​dberenbaum](https://togithub.com/dberenbaum) in [https://github.com/iterative/dvc/pull/10277](https://togithub.com/iterative/dvc/pull/10277) ##### 🔨 Maintenance - build(deps-dev): update dvc-data requirement from <3.11,>=3.10 to >=3.10,<3.12 by [@​dependabot](https://togithub.com/dependabot) in https://github.com/iterative/dvc/ pull/10295 - deps: bump dvc-objects, dvc-data and scmrepo by [@​skshetry](https://togithub.com/skshetry) in [https://github.com/iterative/dvc/pull/10280](https://togithub.com/iterative/dvc/pull/10280) **Full Changelog**: https://github.com/iterative/dvc/compare/3.43.1...3.44.0 ### [`v3.43.1`](https://togithub.com/iterative/dvc/releases/tag/3.43.1) [Compare Source](https://togithub.com/iterative/dvc/compare/3.43.0...3.43.1) #### What's Changed ##### 🐛 Bug Fixes - repo: index: don't set cache storage if there is no out.cache by [@​efiop](https://togithub.com/efiop) in [https://github.com/iterative/dvc/pull/10275](https://togithub.com/iterative/dvc/pull/10275) **Full Changelog**: https://github.com/iterative/dvc/compare/3.43.0...3.43.1 ### [`v3.43.0`](https://togithub.com/iterative/dvc/releases/tag/3.43.0) [Compare Source](https://togithub.com/iterative/dvc/compare/3.42.0...3.43.0) #### What's Changed ##### 🐛 Bug Fixes - repo: site_cache_dir: separate subdir from root_dir by [@​efiop](https://togithub.com/efiop) in [https://github.com/iterative/dvc/pull/10273](https://togithub.com/iterative/dvc/pull/10273) ##### 🔨 Maintenance - build(deps-dev): update pytest-docker requirement from <3,>=1 to >=1,<4 by [@​dependabot](https://togithub.com/dependabot) in [https://github.com/iterative/dvc/pull/10262](https://togithub.com/iterative/dvc/pull/10262) - build(deps-dev): update pytest requirement from <8,>=7 to >=7,<9 by [@​dependabot](https://togithub.com/dependabot) in [https://github.com/iterative/dvc/pull/10259](https://togithub.com/iterative/dvc/pull/10259) ##### Other Changes - fetch: handle missing/modified imports by [@​efiop](https://togithub.com/efiop) in [https://github.com/iterative/dvc/pull/10220](https://togithub.com/iterative/dvc/pull/10220) - exp show: output executor info for successful exps when available by [@​pmrowla](https://togithub.com/pmrowla) in [https://github.com/iterative/dvc/pull/10239](https://togithub.com/iterative/dvc/pull/10239) - drop Python 3.8 support by [@​skshetry](https://togithub.com/skshetry) in [https://github.com/iterative/dvc/pull/10265](https://togithub.com/iterative/dvc/pull/10265) - introduce dataset dependency by [@​skshetry](https://togithub.com/skshetry) in [https://github.com/iterative/dvc/pull/10164](https://togithub.com/iterative/dvc/pull/10164) - Revert "build(deps-dev): update pytest requirement from <8,>=7 to >=7,<9" by [@​skshetry](https://togithub.com/skshetry) in [https://github.com/iterative/dvc/pull/10269](https://togithub.com/iterative/dvc/pull/10269) **Full Changelog**: https://github.com/iterative/dvc/compare/3.42.0...3.43.0 ### [`v3.42.0`](https://togithub.com/iterative/dvc/releases/tag/3.42.0) [Compare Source](https://togithub.com/iterative/dvc/compare/3.41.0...3.42.0) #### What's Changed ##### Other Changes - \[pre-commit.ci] pre-commit autoupdate by [@​pre-commit-ci](https://togithub.com/pre-commit-ci) in [https://github.com/iterative/dvc/pull/10238](https://togithub.com/iterative/dvc/pull/10238) - hydra: support plugins by [@​dberenbaum](https://togithub.com/dberenbaum) in [https://github.com/iterative/dvc/pull/10240](https://togithub.com/iterative/dvc/pull/10240) - deps: bump dvc-data to >=3.8 by [@​efiop](https://togithub.com/efiop) in [https://github.com/iterative/dvc/pull/10254](https://togithub.com/iterative/dvc/pull/10254) - status: always show json by [@​dberenbaum](https://togithub.com/dberenbaum) in [https://github.com/iterative/dvc/pull/10253](https://togithub.com/iterative/dvc/pull/10253) **Full Changelog**: https://github.com/iterative/dvc/compare/3.41.0...3.41.1 #### What's Changed ##### Other Changes - \[pre-commit.ci] pre-commit autoupdate by [@​pre-commit-ci](https://togithub.com/pre-commit-ci) in [https://github.com/iterative/dvc/pull/10238](https://togithub.com/iterative/dvc/pull/10238) - hydra: support plugins by [@​dberenbaum](https://togithub.com/dberenbaum) in [https://github.com/iterative/dvc/pull/10240](https://togithub.com/iterative/dvc/pull/10240) - deps: bump dvc-data to >=3.8 by [@​efiop](https://togithub.com/efiop) in [https://github.com/iterative/dvc/pull/10254](https://togithub.com/iterative/dvc/pull/10254) - status: always show json by [@​dberenbaum](https://togithub.com/dberenbaum) in [https://github.com/iterative/dvc/pull/10253](https://togithub.com/iterative/dvc/pull/10253) **Full Changelog**: https://github.com/iterative/dvc/compare/3.41.0...3.42.0 ### [`v3.41.0`](https://togithub.com/iterative/dvc/releases/tag/3.41.0) [Compare Source](https://togithub.com/iterative/dvc/compare/3.40.1...3.41.0) #### What's Changed ##### Other Changes - exp save: add target arg by [@​dberenbaum](https://togithub.com/dberenbaum) in [https://github.com/iterative/dvc/pull/10243](https://togithub.com/iterative/dvc/pull/10243) - update min version of dvc-render to 1.0.1 by [@​mattseddon](https://togithub.com/mattseddon) in [https://github.com/iterative/dvc/pull/10250](https://togithub.com/iterative/dvc/pull/10250) **Full Changelog**: https://github.com/iterative/dvc/compare/3.40.1...3.41.0 ### [`v3.40.1`](https://togithub.com/iterative/dvc/releases/tag/3.40.1) [Compare Source](https://togithub.com/iterative/dvc/compare/3.40.0...3.40.1) #### What's Changed ##### 🐛 Bug Fixes - config: azure: don't forget Coerce() for timeouts by [@​efiop](https://togithub.com/efiop) in [https://github.com/iterative/dvc/pull/10247](https://togithub.com/iterative/dvc/pull/10247) **Full Changelog**: https://github.com/iterative/dvc/compare/3.40.0...3.40.1 ### [`v3.40.0`](https://togithub.com/iterative/dvc/releases/tag/3.40.0) [Compare Source](https://togithub.com/iterative/dvc/compare/3.39.0...3.40.0) #### What's Changed ##### Other Changes - repro --pull: always pull deps by [@​dberenbaum](https://togithub.com/dberenbaum) in [https://github.com/iterative/dvc/pull/10187](https://togithub.com/iterative/dvc/pull/10187) **Full Changelog**: https://github.com/iterative/dvc/compare/3.39.0...3.40.0
geopandas/geopandas (geopandas) ### [`v0.14.3`](https://togithub.com/geopandas/geopandas/blob/HEAD/CHANGELOG.md#Version-0143-Jan--2024) [Compare Source](https://togithub.com/geopandas/geopandas/compare/v0.14.2...v0.14.3) - Several fixes for compatibility with the latest pandas 2.2 release. - Fix bug in `pandas.concat` CRS consistency checking where CRS differing by WKT whitespace only were treated as incompatible ([#​3023](https://togithub.com/geopandas/geopandas/issues/3023)).
matplotlib/matplotlib (matplotlib) ### [`v3.8.3`](https://togithub.com/matplotlib/matplotlib/releases/tag/v3.8.3): REL: v3.8.3 [Compare Source](https://togithub.com/matplotlib/matplotlib/compare/v3.8.2...v3.8.3) This is the third micro release of the 3.8 series. Highlights of the 3.8.3 release include: - Improvements to the MacOS backend - Fix hanging on `plt.pause` - Fix warnings about "Secure coding is not enabled for restorable state" - Fix crash at exit for PGF backend
numpy/numpy (numpy) ### [`v1.26.4`](https://togithub.com/numpy/numpy/releases/tag/v1.26.4) [Compare Source](https://togithub.com/numpy/numpy/compare/v1.26.3...v1.26.4) ### NumPy 1.26.4 Release Notes NumPy 1.26.4 is a maintenance release that fixes bugs and regressions discovered after the 1.26.3 release. The Python versions supported by this release are 3.9-3.12. This is the last planned release in the 1.26.x series. #### Contributors A total of 13 people contributed to this release. People with a "+" by their names contributed a patch for the first time. - Charles Harris - Elliott Sales de Andrade - Lucas Colley + - Mark Ryan + - Matti Picus - Nathan Goldbaum - Ola x Nilsson + - Pieter Eendebak - Ralf Gommers - Sayed Adel - Sebastian Berg - Stefan van der Walt - Stefano Rivera #### Pull requests merged A total of 19 pull requests were merged for this release. - [#​25323](https://togithub.com/numpy/numpy/pull/25323): BUG: Restore missing asstr import - [#​25523](https://togithub.com/numpy/numpy/pull/25523): MAINT: prepare 1.26.x for further development - [#​25539](https://togithub.com/numpy/numpy/pull/25539): BUG: `numpy.array_api`: fix `linalg.cholesky` upper decomp... - [#​25584](https://togithub.com/numpy/numpy/pull/25584): CI: Bump azure pipeline timeout to 120 minutes - [#​25585](https://togithub.com/numpy/numpy/pull/25585): MAINT, BLD: Fix unused inline functions warnings on clang - [#​25599](https://togithub.com/numpy/numpy/pull/25599): BLD: include fix for MinGW platform detection - [#​25618](https://togithub.com/numpy/numpy/pull/25618): TST: Fix test_numeric on riscv64 - [#​25619](https://togithub.com/numpy/numpy/pull/25619): BLD: fix building for windows ARM64 - [#​25620](https://togithub.com/numpy/numpy/pull/25620): MAINT: add `newaxis` to `__all__` in `numpy.array_api` - [#​25630](https://togithub.com/numpy/numpy/pull/25630): BUG: Use large file fallocate on 32 bit linux platforms - [#​25643](https://togithub.com/numpy/numpy/pull/25643): TST: Fix test_warning_calls on Python 3.12 - [#​25645](https://togithub.com/numpy/numpy/pull/25645): TST: Bump pytz to 2023.3.post1 - [#​25658](https://togithub.com/numpy/numpy/pull/25658): BUG: Fix AVX512 build flags on Intel Classic Compiler - [#​25670](https://togithub.com/numpy/numpy/pull/25670): BLD: fix potential issue with escape sequences in `__config__.py` - [#​25718](https://togithub.com/numpy/numpy/pull/25718): CI: pin cygwin python to 3.9.16-1 and fix typing tests \[skip... - [#​25720](https://togithub.com/numpy/numpy/pull/25720): MAINT: Bump cibuildwheel to v2.16.4 - [#​25748](https://togithub.com/numpy/numpy/pull/25748): BLD: unvendor meson-python on 1.26.x and upgrade to meson-python... - [#​25755](https://togithub.com/numpy/numpy/pull/25755): MAINT: Include header defining backtrace - [#​25756](https://togithub.com/numpy/numpy/pull/25756): BUG: Fix np.quantile(\[Fraction(2,1)], 0.5) ([#​24711](https://togithub.com/numpy/numpy/issues/24711)) #### Checksums ##### MD5 90f33cdd8934cd07192d6ede114d8d4d numpy-1.26.4-cp310-cp310-macosx_10_9_x86_64.whl 63ac60767f6724490e587f6010bd6839 numpy-1.26.4-cp310-cp310-macosx_11_0_arm64.whl ad4e82b225aaaf5898ea9798b50978d8 numpy-1.26.4-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl d428e3da2df4fa359313348302cf003a numpy-1.26.4-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl 89937c3bb596193f8ca9eae2ff84181e numpy-1.26.4-cp310-cp310-musllinux_1_1_aarch64.whl de4f9da0a4e6dfd4cec39c7ad5139803 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679b0076f67ecc0138fd2ede3a8fd196dddc2ad3254069bcb9faf9a79b1cebcd numpy-1.26.4-cp39-cp39-musllinux_1_1_aarch64.whl 47711010ad8555514b434df65f7d7b076bb8261df1ca9bb78f53d3b2db02e95c numpy-1.26.4-cp39-cp39-musllinux_1_1_x86_64.whl a354325ee03388678242a4d7ebcd08b5c727033fcff3b2f536aea978e15ee9e6 numpy-1.26.4-cp39-cp39-win32.whl 3373d5d70a5fe74a2c1bb6d2cfd9609ecf686d47a2d7b1d37a8f3b6bf6003aea numpy-1.26.4-cp39-cp39-win_amd64.whl afedb719a9dcfc7eaf2287b839d8198e06dcd4cb5d276a3df279231138e83d30 numpy-1.26.4-pp39-pypy39_pp73-macosx_10_9_x86_64.whl 95a7476c59002f2f6c590b9b7b998306fba6a5aa646b1e22ddfeaf8f78c3a29c numpy-1.26.4-pp39-pypy39_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl 7e50d0a0cc3189f9cb0aeb3a6a6af18c16f59f004b866cd2be1c14b36134a4a0 numpy-1.26.4-pp39-pypy39_pp73-win_amd64.whl 2a02aba9ed12e4ac4eb3ea9421c420301a0c6460d9830d74a9df87efa4912010 numpy-1.26.4.tar.gz
jgm/pandocfilters (pandocfilters) ### [`v1.5.1`](https://togithub.com/jgm/pandocfilters/compare/1.5.0...1.5.1) [Compare Source](https://togithub.com/jgm/pandocfilters/compare/1.5.0...1.5.1)
pydantic/pydantic (pydantic) ### [`v2.6.1`](https://togithub.com/pydantic/pydantic/blob/HEAD/HISTORY.md#v261-2024-02-05) [Compare Source](https://togithub.com/pydantic/pydantic/compare/v2.6.0...v2.6.1) [GitHub release](https://togithub.com/pydantic/pydantic/releases/tag/v2.6.1) ##### What's Changed ##### Packaging - Upgrade to `pydantic-core` 2.16.2 by [@​sydney-runkle](https://togithub.com/sydney-runkle) in [#​8717](https://togithub.com/pydantic/pydantic/pull/8717) ##### Fixes - Fix bug with `mypy` plugin and `no_strict_optional = True` by [@​dmontagu](https://togithub.com/dmontagu) in [#​8666](https://togithub.com/pydantic/pydantic/pull/8666) - Fix `ByteSize` error `type` change by [@​sydney-runkle](https://togithub.com/sydney-runkle) in [#​8681](https://togithub.com/pydantic/pydantic/pull/8681) - Fix inheriting `Field` annotations in dataclasses by [@​sydney-runkle](https://togithub.com/sydney-runkle) in [#​8679](https://togithub.com/pydantic/pydantic/pull/8679) - Fix regression in core schema generation for indirect definition references by [@​dmontagu](https://togithub.com/dmontagu) in [#​8702](https://togithub.com/pydantic/pydantic/pull/8702) - Fix unsupported types bug with `PlainValidator` by [@​sydney-runkle](https://togithub.com/sydney-runkle) in [#​8710](https://togithub.com/pydantic/pydantic/pull/8710) - Reverting problematic fix from 2.6 release, fixing schema building bug by [@​sydney-runkle](https://togithub.com/sydney-runkle) in [#​8718](https://togithub.com/pydantic/pydantic/pull/8718) - Fix warning for tuple of wrong size in `Union` by [@​davidhewitt](https://togithub.com/davidhewitt) in [pydantic/pydantic-core#1174](https://togithub.com/pydantic/pydantic-core/pull/1174) - Fix `computed_field` JSON serializer `exclude_none` behavior by [@​sydney-runkle](https://togithub.com/sydney-runkle) in [pydantic/pydantic-core#1187](https://togithub.com/pydantic/pydantic-core/pull/1187) ### [`v2.6.0`](https://togithub.com/pydantic/pydantic/blob/HEAD/HISTORY.md#v260-2024-01-23) [Compare Source](https://togithub.com/pydantic/pydantic/compare/v2.5.3...v2.6.0) [GitHub release](https://togithub.com/pydantic/pydantic/releases/tag/v2.6.0) The code released in v2.6.0 is practically identical to that of v2.6.0b1. ##### What's Changed ##### Packaging - Check for `email-validator` version >= 2.0 by [@​commonism](https://togithub.com/commonism) in [#​6033](https://togithub.com/pydantic/pydantic/pull/6033) - Upgrade \`ruff\`\` target version to Python 3.8 by [@​Elkiwa](https://togithub.com/Elkiwa) in [#​8341](https://togithub.com/pydantic/pydantic/pull/8341) - Update to `pydantic-extra-types==2.4.1` by [@​yezz123](https://togithub.com/yezz123) in [#​8478](https://togithub.com/pydantic/pydantic/pull/8478) - Update to `pyright==1.1.345` by [@​Viicos](https://togithub.com/Viicos) in [#​8453](https://togithub.com/pydantic/pydantic/pull/8453) - Update pydantic-core from 2.14.6 to 2.16.1, significant changes from these updates are described below, full changelog [here](https://togithub.com/pydantic/pydantic-core/compare/v2.14.6...v2.16.1) ##### New Features - Add `NatsDsn` by [@​ekeew](https://togithub.com/ekeew) in [#​6874](https://togithub.com/pydantic/pydantic/pull/6874) - Add `ConfigDict.ser_json_inf_nan` by [@​davidhewitt](https://togithub.com/davidhewitt) in [#​8159](https://togithub.com/pydantic/pydantic/pull/8159) - Add `types.OnErrorOmit` by [@​adriangb](https://togithub.com/adriangb) in [#​8222](https://togithub.com/pydantic/pydantic/pull/8222) - Support `AliasGenerator` usage by [@​sydney-runkle](https://togithub.com/sydney-runkle) in [#​8282](https://togithub.com/pydantic/pydantic/pull/8282) - Add Pydantic People Page to docs by [@​sydney-runkle](https://togithub.com/sydney-runkle) in [#​8345](https://togithub.com/pydantic/pydantic/pull/8345) - Support `yyyy-MM-DD` datetime parsing by [@​sydney-runkle](https://togithub.com/sydney-runkle) in [#​8404](https://togithub.com/pydantic/pydantic/pull/8404) - Added bits conversions to the `ByteSize` class [#​8415](https://togithub.com/pydantic/pydantic/issues/8415) by [@​luca-matei](https://togithub.com/luca-matei) in [#​8507](https://togithub.com/pydantic/pydantic/pull/8507) - Enable json schema creation with type `ByteSize` by [@​geospackle](https://togithub.com/geospackle) in [#​8537](https://togithub.com/pydantic/pydantic/pull/8537) - Add `eval_type_backport` to handle union operator and builtin generic subscripting in older Pythons by [@​alexmojaki](https://togithub.com/alexmojaki) in [#​8209](https://togithub.com/pydantic/pydantic/pull/8209) - Add support for `dataclass` fields `init` by [@​dmontagu](https://togithub.com/dmontagu) in [#​8552](https://togithub.com/pydantic/pydantic/pull/8552) - Implement pickling for `ValidationError` by [@​davidhewitt](https://togithub.com/davidhewitt) in [pydantic/pydantic-core#1119](https://togithub.com/pydantic/pydantic-core/pull/1119) - Add unified tuple validator that can handle "variadic" tuples via PEP-646 by [@​dmontagu](https://togithub.com/dmontagu) in [pydantic/pydantic-core#865](https://togithub.com/pydantic/pydantic-core/pull/865) ##### Changes - Drop Python3.7 support by [@​hramezani](https://togithub.com/hramezani) in [#​7188](https://togithub.com/pydantic/pydantic/pull/7188) - Drop Python 3.7, and PyPy 3.7 and 3.8 by [@​davidhewitt](https://togithub.com/davidhewitt) in [pydantic/pydantic-core#1129](https://togithub.com/pydantic/pydantic-core/pull/1129) - Use positional-only `self` in `BaseModel` constructor, so no field name can ever conflict with it by [@​ariebovenberg](https://togithub.com/ariebovenberg) in [#​8072](https://togithub.com/pydantic/pydantic/pull/8072) - Make `@validate_call` return a function instead of a custom descriptor - fixes binding issue with inheritance and adds `self/cls` argument to validation errors by [@​alexmojaki](https://togithub.com/alexmojaki) in [#​8268](https://togithub.com/pydantic/pydantic/pull/8268) - Exclude `BaseModel` docstring from JSON schema description by [@​sydney-runkle](https://togithub.com/sydney-runkle) in [#​8352](https://togithub.com/pydantic/pydantic/pull/8352) - Introducing `classproperty` decorator for `model_computed_fields` by [@​Jocelyn-Gas](https://togithub.com/Jocelyn-Gas) in [#​8437](https://togithub.com/pydantic/pydantic/pull/8437) - Explicitly raise an error if field names clashes with types by [@​Viicos](https://togithub.com/Viicos) in [#​8243](https://togithub.com/pydantic/pydantic/pull/8243) - Use stricter serializer for unions of simple types by [@​alexdrydew](https://togithub.com/alexdrydew) [pydantic/pydantic-core#1132](https://togithub.com/pydantic/pydantic-core/pull/1132) ##### Performance - Add Codspeed profiling Actions workflow by [@​lambertsbennett](https://togithub.com/lambertsbennett) in [#​8054](https://togithub.com/pydantic/pydantic/pull/8054) - Improve `int` extraction by [@​samuelcolvin](https://togithub.com/samuelcolvin) in [pydantic/pydantic-core#1155](https://togithub.com/pydantic/pydantic-core/pull/1155) - Improve performance of recursion guard by [@​samuelcolvin](https://togithub.com/samuelcolvin) in [pydantic/pydantic-core#1156](https://togithub.com/pydantic/pydantic-core/pull/1156) - `dataclass` serialization speedups by [@​samuelcolvin](https://togithub.com/samuelcolvin) in [pydantic/pydantic-core#1162](https://togithub.com/pydantic/pydantic-core/pull/1162) - Avoid `HashMap` creation when looking up small JSON objects in `LazyIndexMaps` by [@​samuelcolvin](https://togithub.com/samuelcolvin) in [pydantic/jiter#55](https://togithub.com/pydantic/jiter/pull/55) - use hashbrown to speedup python string caching by [@​davidhewitt](https://togithub.com/davidhewitt) in [pydantic/jiter#51](https://togithub.com/pydantic/jiter/pull/51) - Replace `Peak` with more efficient `Peek` by [@​davidhewitt](https://togithub.com/davidhewitt) in [pydantic/jiter#48](https://togithub.com/pydantic/jiter/pull/48) ##### Fixes - Move `getattr` warning in deprecated `BaseConfig` by [@​tlambert03](https://togithub.com/tlambert03) in [#​7183](https://togithub.com/pydantic/pydantic/pull/7183) - Only hash `model_fields`, not whole `__dict__` by [@​alexmojaki](https://togithub.com/alexmojaki) in [#​7786](https://togithub.com/pydantic/pydantic/pull/7786) - Fix mishandling of unions while freezing types in the `mypy` plugin by [@​dmontagu](https://togithub.com/dmontagu) in [#​7411](https://togithub.com/pydantic/pydantic/pull/7411) - Fix `mypy` error on untyped `ClassVar` by [@​vincent-hachin-wmx](https://togithub.com/vincent-hachin-wmx) in [#​8138](https://togithub.com/pydantic/pydantic/pull/8138) - Only compare pydantic fields in `BaseModel.__eq__` instead of whole `__dict__` by [@​QuentinSoubeyranAqemia](https://togithub.com/QuentinSoubeyranAqemia) in [#​7825](https://togithub.com/pydantic/pydantic/pull/7825) - Update `strict` docstring in `model_validate` method. by [@​LukeTonin](https://togithub.com/LukeTonin) in [#​8223](https://togithub.com/pydantic/pydantic/pull/8223) - Fix overload position of `computed_field` by [@​Viicos](https://togithub.com/Viicos) in [#​8227](https://togithub.com/pydantic/pydantic/pull/8227) - Fix custom type type casting used in multiple attributes by [@​ianhfc](https://togithub.com/ianhfc) in [#​8066](https://togithub.com/pydantic/pydantic/pull/8066) - Fix issue not allowing `validate_call` decorator to be dynamically assigned to a class method by [@​jusexton](https://togithub.com/jusexton) in [#​8249](https://togithub.com/pydantic/pydantic/pull/8249) - Fix issue `unittest.mock` deprecation warnings by [@​ibleedicare](https://togithub.com/ibleedicare) in [#​8262](https://togithub.com/pydantic/pydantic/pull/8262) - Added tests for the case `JsonValue` contains subclassed primitive values by [@​jusexton](https://togithub.com/jusexton) in [#​8286](https://togithub.com/pydantic/pydantic/pull/8286) - Fix `mypy` error on free before validator (classmethod) by [@​sydney-runkle](https://togithub.com/sydney-runkle) in [#​8285](https://togithub.com/pydantic/pydantic/pull/8285) - Fix `to_snake` conversion by [@​jevins09](https://togithub.com/jevins09) in [#​8316](https://togithub.com/pydantic/pydantic/pull/8316) - Fix type annotation of `ModelMetaclass.__prepare__` by [@​slanzmich](https://togithub.com/slanzmich) in [#​8305](https://togithub.com/pydantic/pydantic/pull/8305) - Disallow `config` specification when initializing a `TypeAdapter` when the annotated type has config already by [@​sydney-runkle](https://togithub.com/sydney-runkle) in [#​8365](https://togithub.com/pydantic/pydantic/pull/8365) - Fix a naming issue with JSON schema for generics parametrized by recursive type aliases by [@​dmontagu](https://togithub.com/dmontagu) in [#​8389](https://togithub.com/pydantic/pydantic/pull/8389) - Fix type annotation in pydantic people script by [@​shenxiangzhuang](https://togithub.com/shenxiangzhuang) in [#​8402](https://togithub.com/pydantic/pydantic/pull/8402) - Add support for field `alias` in `dataclass` signature by [@​NeevCohen](https://togithub.com/NeevCohen) in [#​8387](https://togithub.com/pydantic/pydantic/pull/8387) - Fix bug with schema generation with `Field(...)` in a forward ref by [@​dmontagu](https://togithub.com/dmontagu) in [#​8494](https://togithub.com/pydantic/pydantic/pull/8494) - Fix ordering of keys in `__dict__` with `model_construct` call by [@​sydney-runkle](https://togithub.com/sydney-runkle) in [#​8500](https://togithub.com/pydantic/pydantic/pull/8500) - Fix module `path_type` creation when globals does not contain `__name__` by [@​hramezani](https://togithub.com/hramezani) in [#​8470](https://togithub.com/pydantic/pydantic/pull/8470) - Fix for namespace issue with dataclasses with `from __future__ import annotations` by [@​sydney-runkle](https://togithub.com/sydney-runkle) in [#​8513](https://togithub.com/pydantic/pydantic/pull/8513) - Fix: make function validator types positional-only by [@​pmmmwh](https://togithub.com/pmmmwh) in [#​8479](https://togithub.com/pydantic/pydantic/pull/8479) - Fix usage of `@deprecated` by [@​Viicos](https://togithub.com/Viicos) in [#​8294](https://togithub.com/pydantic/pydantic/pull/8294) - Add more support for private attributes in `model_construct` call by [@​sydney-runkle](https://togithub.com/sydney-runkle) in [#​8525](https://togithub.com/pydantic/pydantic/pull/8525) - Use a stack for the types namespace by [@​dmontagu](https://togithub.com/dmontagu) in [#​8378](https://togithub.com/pydantic/pydantic/pull/8378) - Fix schema-building bug with `TypeAliasType` for types with refs by [@​dmontagu](https://togithub.com/dmontagu) in [#​8526](https://togithub.com/pydantic/pydantic/pull/8526) - Support `pydantic.Field(repr=False)` in dataclasses by [@​tigeryy2](https://togithub.com/tigeryy2) in [#​8511](https://togithub.com/pydantic/pydantic/pull/8511) - Override `dataclass_transform` behavior for `RootModel` by [@​Viicos](https://togithub.com/Viicos) in [#​8163](https://togithub.com/pydantic/pydantic/pull/8163) - Refactor signature generation for simplicity by [@​sydney-runkle](https://togithub.com/sydney-runkle) in [#​8572](https://togithub.com/pydantic/pydantic/pull/8572) - Fix ordering bug of PlainValidator annotation by [@​Anvil](https://togithub.com/Anvil) in [#​8567](https://togithub.com/pydantic/pydantic/pull/8567) - Fix `exclude_none` for json serialization of `computed_field`s by [@​sydney-runkle](https://togithub.com/sydney-runkle) in [pydantic/pydantic-core#1098](https://togithub.com/pydantic/pydantic-core/pull/1098) - Support yyyy-MM-DD string for datetimes by [@​sydney-runkle](https://togithub.com/sydney-runkle) in [pydantic/pydantic-core#1124](https://togithub.com/pydantic/pydantic-core/pull/1124) - Tweak ordering of definitions in generated schemas by [@​StrawHatDrag0n](https://togithub.com/StrawHatDrag0n) in [#​8583](https://togithub.com/pydantic/pydantic/pull/8583) ##### New Contributors ##### `pydantic` - [@​ekeew](https://togithub.com/ekeew) made their first contribution in [#​6874](https://togithub.com/pydantic/pydantic/pull/6874) - [@​lambertsbennett](https://togithub.com/lambertsbennett) made their first contribution in [#​8054](https://togithub.com/pydantic/pydantic/pull/8054) - [@​vincent-hachin-wmx](https://togithub.com/vincent-hachin-wmx) made their first contribution in [#​8138](https://togithub.com/pydantic/pydantic/pull/8138) - [@​QuentinSoubeyranAqemia](https://togithub.com/QuentinSoubeyranAqemia) made their first contribution in [#​7825](https://togithub.com/pydantic/pydantic/pull/7825) - [@​ariebovenberg](https://togithub.com/ariebovenberg) made their first contribution in [#​8072](https://togithub.com/pydantic/pydantic/pull/8072) - [@​LukeTonin](https://togithub.com/LukeTonin) made their first contribution in [#​8223](https://togithub.com/pydantic/pydantic/pull/8223) - [@​denisart](https://togithub.com/denisart) made their first contribution in [#​8231](https://togithub.com/pydantic/pydantic/pull/8231) - [@​ianhfc](https://togithub.com/ianhfc) made their first contribution in [#​8066](https://togithub.com/pydantic/pydantic/pull/8066) - [@​eonu](https://togithub.com/eonu) made their first contribution in [#​8255](https://togithub.com/pydantic/pydantic/pull/8255) - [@​amandahla](https://togithub.com/amandahla) made their first contribution in [#​8263](https://togithub.com/pydantic/pydantic/pull/8263) - [@​ibleedicare](https://togithub.com/ibleedicare) made their first contribution in [#​8262](https://togithub.com/pydantic/pydantic/pull/8262) - [@​jevins09](https://togithub.com/jevins09) made their first contribution in [#​8316](https://togithub.com/pydantic/pydantic/pull/8316) - [@​cuu508](https://togithub.com/cuu508) made their first contribution in [#​8322](https://togithub.com/pydantic/pydantic/pull/8322) - [@​slanzmich](https://togithub.com/slanzmich) made their first contribution in [#​8305](https://togithub.com/pydantic/pydantic/pull/8305) - [@​jensenbox](https://togithub.com/jensenbox) made their first contribution in [#​8331](https://togithub.com/pydantic/pydantic/pull/8331) - [@​szepeviktor](https://togithub.com/szepeviktor) made their first contribution in [#​8356](https://togithub.com/pydantic/pydantic/pull/8356) - [@​Elkiwa](https://togithub.com/Elkiwa) made their first contribution in [#​8341](https://togithub.com/pydantic/pydantic/pull/8341) - [@​parhamfh](https://togithub.com/parhamfh) made their first contribution in [#​8395](https://togithub.com/pydantic/pydantic/pull/8395) - [@​shenxiangzhuang](https://togithub.com/shenxiangzhuang) made their first contribution in [#​8402](https://togithub.com/pydantic/pydantic/pull/8402) - [@​NeevCohen](https://togithub.com/NeevCohen) made their first contribution in [#​8387](https://togithub.com/pydantic/pydantic/pull/8387) - [@​zby](https://togithub.com/zby) made their first contribution in [#​8497](https://togithub.com/pydantic/pydantic/pull/8497) - [@​patelnets](https://togithub.com/patelnets) made their first contribution in [#​8491](https://togithub.com/pydantic/pydantic/pull/8491) - [@​edwardwli](https://togithub.com/edwardwli) made their first contribution in [#​8503](https://togithub.com/pydantic/pydantic/pull/8503) - [@​luca-matei](https://togithub.com/luca-matei) made their first contribution in [#​8507](https://togithub.com/pydantic/pydantic/pull/8507) - [@​Jocelyn-Gas](https://togithub.com/Jocelyn-Gas) made their first contribution in [#​8437](https://togithub.com/pydantic/pydantic/pull/8437) - [@​bL34cHig0](https://togithub.com/bL34cHig0) made their first contribution in [#​8501](https://togithub.com/pydantic/pydantic/pull/8501) - [@​tigeryy2](https://togithub.com/tigeryy2) made their first contribution in [#​8511](https://togithub.com/pydantic/pydantic/pull/8511) - [@​geospackle](https://togithub.com/geospackle) made their first contribution in [#​8537](https://togithub.com/pydantic/pydantic/pull/8537) - [@​Anvil](https://togithub.com/Anvil) made their first contribution in [#​8567](https://togithub.com/pydantic/pydantic/pull/8567) - [@​hungtsetse](https://togithub.com/hungtsetse) made their first contribution in [#​8546](https://togithub.com/pydantic/pydantic/pull/8546) - [@​StrawHatDrag0n](https://togithub.com/StrawHatDrag0n) made their first contribution in [#​8583](https://togithub.com/pydantic/pydantic/pull/8583) ##### `pydantic-core` - [@​mariuswinger](https://togithub.com/mariuswinger) made their first contribution in [pydantic/pydantic-core#1087](https://togithub.com/pydantic/pydantic-core/pull/1087) - 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scipy/scipy (scipy) ### [`v1.12.0`](https://togithub.com/scipy/scipy/releases/tag/v1.12.0): SciPy 1.12.0 [Compare Source](https://togithub.com/scipy/scipy/compare/v1.11.4...v1.12.0) # SciPy 1.12.0 Release Notes SciPy `1.12.0` is the culmination of `6` months of hard work. It contains many new features, numerous bug-fixes, improved test coverage and better documentation. There have been a number of deprecations and API changes in this release, which are documented below. All users are encouraged to upgrade to this release, as there are a large number of bug-fixes and optimizations. Before upgrading, we recommend that users check that their own code does not use deprecated SciPy functionality (to do so, run your code with `python -Wd` and check for `DeprecationWarning` s). Our development attention will now shift to bug-fix releases on the 1.12.x branch, and on adding new features on the main branch. This release requires Python `3.9+` and NumPy `1.22.4` or greater. For running on PyPy, PyPy3 `6.0+` is required. # Highlights of this release - Experimental support for the array API standard has been added to part of `scipy.special`, and to all of `scipy.fft` and `scipy.cluster`. There are likely to be bugs and early feedback for usage with CuPy arrays, PyTorch tensors, and other array API compatible libraries is appreciated. Use the `SCIPY_ARRAY_API` environment variable for testing. - A new class, `ShortTimeFFT`, provides a more versatile implementation of the short-time Fourier transform (STFT), its inverse (ISTFT) as well as the (cross-) spectrogram. It utilizes an improved algorithm for calculating the ISTFT. - Several new constructors have been added for sparse arrays, and many operations now additionally support sparse arrays, further facilitating the migration from sparse matrices. - A large portion of the `scipy.stats` API now has improved support for handling `NaN` values, masked arrays, and more fine-grained shape-handling. The accuracy and performance of a number of `stats` methods have been improved, and a number of new statistical tests and distributions have been added. # New features # `scipy.cluster` improvements - Experimental support added for the array API standard; PyTorch tensors, CuPy arrays and array API compatible array libraries are now accepted (GPU support is limited to functions with pure Python implementations). CPU arrays which can be converted to and from NumPy are supported module-wide and returned arrays will match the input type. This behaviour is enabled by setting the `SCIPY_ARRAY_API` environment variable before importing `scipy`. This experimental support is still under development and likely to contain bugs - testing is very welcome. # `scipy.fft` improvements - Experimental support added for the array API standard; functions which are part of the `fft` array API standard extension module, as well as the Fast Hankel Transforms and the basic FFTs which are not in the extension module, now accept PyTorch tensors, CuPy arrays and array API compatible array libraries. CPU arrays which can be converted to and from NumPy arrays are supported module-wide and returned arrays will match the input type. This behaviour is enabled by setting the `SCIPY_ARRAY_API` environment variable before importing `scipy`. This experimental support is still under development and likely to contain bugs - testing is very welcome. # `scipy.integrate` improvements - Added `scipy.integrate.cumulative_simpson` for cumulative quadrature from sampled data using Simpson's 1/3 rule. # `scipy.interpolate` improvements - New class `NdBSpline` represents tensor-product splines in N dimensions. This class only knows how to evaluate a tensor product given coefficients and knot vectors. This way it generalizes `BSpline` for 1D data to N-D, and parallels `NdPPoly` (which represents N-D tensor product polynomials). Evaluations exploit the localized nature of b-splines. - `NearestNDInterpolator.__call__` accepts `**query_options`, which are passed through to the `KDTree.query` call to find nearest neighbors. This allows, for instance, to limit the neighbor search distance and parallelize the query using the `workers` keyword. - `BarycentricInterpolator` now allows computing the derivatives. - It is now possible to change interpolation values in an existing `CloughTocher2DInterpolator` instance, while also saving the barycentric coordinates of interpolation points. # `scipy.linalg` improvements - Access to new low-level LAPACK functions is provided via `dtgsyl` and `stgsyl`. # `scipy.optimize` improvements - `scipy.optimize.isotonic_regression` has been added to allow nonparametric isotonic regression. - `scipy.optimize.nnls` is rewritten in Python and now implements the so-called fnnls or fast nnls, making it more efficient for high-dimensional problems. - The result object of `scipy.optimize.root` and `scipy.optimize.root_scalar` now reports the method used. - The `callback` method of `scipy.optimize.differential_evolution` can now be passed more detailed information via the `intermediate_results` keyword parameter. Also, the evolution `strategy` now accepts a callable for additional customization. The performance of `differential_evolution` has also been improved. - `scipy.optimize.minimize` method `Newton-CG` now supports functions that return sparse Hessian matrices/arrays for the `hess` parameter and is slightly more efficient. - `scipy.optimize.minimize` method `BFGS` now accepts an initial estimate for the inverse of the Hessian, which allows for more efficient workflows in some circumstances. The new parameter is `hess_inv0`. - `scipy.optimize.minimize` methods `CG`, `Newton-CG`, and `BFGS` now accept parameters `c1` and `c2`, allowing specification of the Armijo and curvature rule parameters, respectively. - `scipy.optimize.curve_fit` performance has improved due to more efficient memoization of the callable function. # `scipy.signal` improvements - `freqz`, `freqz_zpk`, and `group_delay` are now more accurate when `fs` has a default value. - The new class `ShortTimeFFT` provides a more versatile implementation of the short-time Fourier transform (STFT), its inverse (ISTFT) as well as the (cross-) spectrogram. It utilizes an improved algorithm for calculating the ISTFT based on dual windows and provides more fine-grained control of the parametrization especially in regard to scaling and phase-shift. Functionality was implemented to ease working with signal and STFT chunks. A section has been added to the "SciPy User Gui

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