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ericmjl / Network-Analysis-Made-Simple

An introduction to network analysis and applied graph theory using Python and NetworkX
https://ericmjl.github.io/Network-Analysis-Made-Simple/index.html
MIT License
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Scheduled weekly dependency update for week 03 #385

Closed pyup-bot closed 10 months ago

pyup-bot commented 10 months ago

Update ipykernel from 6.26.0 to 6.29.0.

Changelog ### 6.29.0 ``` ([Full Changelog](https://github.com/ipython/ipykernel/compare/v6.28.0...84955484ec1636ee4c7611471d20df2016b5cb57)) Enhancements made - Always set debugger to true in kernelspec [1191](https://github.com/ipython/ipykernel/pull/1191) ([ianthomas23](https://github.com/ianthomas23)) Bugs fixed - Revert "Enable `ProactorEventLoop` on windows for `ipykernel`" [1194](https://github.com/ipython/ipykernel/pull/1194) ([blink1073](https://github.com/blink1073)) - Make outputs go to correct cell when generated in threads/asyncio [1186](https://github.com/ipython/ipykernel/pull/1186) ([krassowski](https://github.com/krassowski)) Maintenance and upkeep improvements - Pin pytest-asyncio to 0.23.2 [1189](https://github.com/ipython/ipykernel/pull/1189) ([ianthomas23](https://github.com/ianthomas23)) - chore: update pre-commit hooks [1187](https://github.com/ipython/ipykernel/pull/1187) ([pre-commit-ci](https://github.com/pre-commit-ci)) Contributors to this release ([GitHub contributors page for this release](https://github.com/ipython/ipykernel/graphs/contributors?from=2023-12-26&to=2024-01-16&type=c)) [blink1073](https://github.com/search?q=repo%3Aipython%2Fipykernel+involves%3Ablink1073+updated%3A2023-12-26..2024-01-16&type=Issues) | [ianthomas23](https://github.com/search?q=repo%3Aipython%2Fipykernel+involves%3Aianthomas23+updated%3A2023-12-26..2024-01-16&type=Issues) | [krassowski](https://github.com/search?q=repo%3Aipython%2Fipykernel+involves%3Akrassowski+updated%3A2023-12-26..2024-01-16&type=Issues) | [pre-commit-ci](https://github.com/search?q=repo%3Aipython%2Fipykernel+involves%3Apre-commit-ci+updated%3A2023-12-26..2024-01-16&type=Issues) ``` ### 6.28.0 ``` ([Full Changelog](https://github.com/ipython/ipykernel/compare/v6.27.1...de45c7a49e197f0889f867f33f24cce322768a0e)) Enhancements made - Enable `ProactorEventLoop` on windows for `ipykernel` [1184](https://github.com/ipython/ipykernel/pull/1184) ([NewUserHa](https://github.com/NewUserHa)) - Adds a flag in debug_info for the copyToGlobals support [1099](https://github.com/ipython/ipykernel/pull/1099) ([brichet](https://github.com/brichet)) Maintenance and upkeep improvements - Support python 3.12 [1185](https://github.com/ipython/ipykernel/pull/1185) ([blink1073](https://github.com/blink1073)) - Bump actions/setup-python from 4 to 5 [1181](https://github.com/ipython/ipykernel/pull/1181) ([dependabot](https://github.com/dependabot)) - chore: update pre-commit hooks [1179](https://github.com/ipython/ipykernel/pull/1179) ([pre-commit-ci](https://github.com/pre-commit-ci)) - Refactor execute_request to reduce redundancy and improve consistency [1177](https://github.com/ipython/ipykernel/pull/1177) ([jjvraw](https://github.com/jjvraw)) Documentation improvements - Update pytest commands in README [1178](https://github.com/ipython/ipykernel/pull/1178) ([ianthomas23](https://github.com/ianthomas23)) Contributors to this release ([GitHub contributors page for this release](https://github.com/ipython/ipykernel/graphs/contributors?from=2023-11-27&to=2023-12-26&type=c)) [blink1073](https://github.com/search?q=repo%3Aipython%2Fipykernel+involves%3Ablink1073+updated%3A2023-11-27..2023-12-26&type=Issues) | [brichet](https://github.com/search?q=repo%3Aipython%2Fipykernel+involves%3Abrichet+updated%3A2023-11-27..2023-12-26&type=Issues) | [dependabot](https://github.com/search?q=repo%3Aipython%2Fipykernel+involves%3Adependabot+updated%3A2023-11-27..2023-12-26&type=Issues) | [ianthomas23](https://github.com/search?q=repo%3Aipython%2Fipykernel+involves%3Aianthomas23+updated%3A2023-11-27..2023-12-26&type=Issues) | [jjvraw](https://github.com/search?q=repo%3Aipython%2Fipykernel+involves%3Ajjvraw+updated%3A2023-11-27..2023-12-26&type=Issues) | [NewUserHa](https://github.com/search?q=repo%3Aipython%2Fipykernel+involves%3ANewUserHa+updated%3A2023-11-27..2023-12-26&type=Issues) | [pre-commit-ci](https://github.com/search?q=repo%3Aipython%2Fipykernel+involves%3Apre-commit-ci+updated%3A2023-11-27..2023-12-26&type=Issues) ``` ### 6.27.1 ``` ([Full Changelog](https://github.com/ipython/ipykernel/compare/v6.27.0...f9c517e868462d05d6854204c2ad0a244db1cd19)) Bugs fixed - Fix edit magic payload type [1171](https://github.com/ipython/ipykernel/pull/1171) ([blink1073](https://github.com/blink1073)) Contributors to this release ([GitHub contributors page for this release](https://github.com/ipython/ipykernel/graphs/contributors?from=2023-11-21&to=2023-11-27&type=c)) [blink1073](https://github.com/search?q=repo%3Aipython%2Fipykernel+involves%3Ablink1073+updated%3A2023-11-21..2023-11-27&type=Issues) ``` ### 6.27.0 ``` ([Full Changelog](https://github.com/ipython/ipykernel/compare/v6.26.0...465d34483103d23f471a4795fe5fabb9cf7ac3f5)) Enhancements made - Extend argument handling of do_execute with cell metadata [1169](https://github.com/ipython/ipykernel/pull/1169) ([jjvraw](https://github.com/jjvraw)) Maintenance and upkeep improvements - Update ruff and typings [1167](https://github.com/ipython/ipykernel/pull/1167) ([blink1073](https://github.com/blink1073)) - Clean up ruff config [1165](https://github.com/ipython/ipykernel/pull/1165) ([blink1073](https://github.com/blink1073)) - chore: update pre-commit hooks [1164](https://github.com/ipython/ipykernel/pull/1164) ([pre-commit-ci](https://github.com/pre-commit-ci)) - Clean up typing config [1163](https://github.com/ipython/ipykernel/pull/1163) ([blink1073](https://github.com/blink1073)) - Update typing for traitlets 5.13 [1162](https://github.com/ipython/ipykernel/pull/1162) ([blink1073](https://github.com/blink1073)) - Adopt ruff format [1161](https://github.com/ipython/ipykernel/pull/1161) ([blink1073](https://github.com/blink1073)) - Update typing for jupyter_client 8.5 [1160](https://github.com/ipython/ipykernel/pull/1160) ([blink1073](https://github.com/blink1073)) Contributors to this release ([GitHub contributors page for this release](https://github.com/ipython/ipykernel/graphs/contributors?from=2023-10-24&to=2023-11-21&type=c)) [blink1073](https://github.com/search?q=repo%3Aipython%2Fipykernel+involves%3Ablink1073+updated%3A2023-10-24..2023-11-21&type=Issues) | [jjvraw](https://github.com/search?q=repo%3Aipython%2Fipykernel+involves%3Ajjvraw+updated%3A2023-10-24..2023-11-21&type=Issues) | [pre-commit-ci](https://github.com/search?q=repo%3Aipython%2Fipykernel+involves%3Apre-commit-ci+updated%3A2023-10-24..2023-11-21&type=Issues) ```
Links - PyPI: https://pypi.org/project/ipykernel - Changelog: https://data.safetycli.com/changelogs/ipykernel/

Update matplotlib from 3.8.1 to 3.8.2.

Changelog ### 3.8.2 ``` This is the second bugfix release of the 3.8 series. Highlights of this release include: - Fix a segfault in the MacOS backend when running on Python 3.12 - Fix Contour labeling manual positions selecting incorrect contours. - Various documentation improvements ```
Links - PyPI: https://pypi.org/project/matplotlib - Changelog: https://data.safetycli.com/changelogs/matplotlib/ - Homepage: https://matplotlib.org

Update mkdocs-material from 9.4.8 to 9.5.4.

Changelog ### 9.5.4 ``` - Fixed 6645: Local storage with invalid value can break site - Fixed 6635: Tags icons before default ignored if default is set ``` ### 9.5.3 ``` - Limited version range of MkDocs to < 1.6 - Updated Macedonian translations - Fixed 6520: Group plugin crashes when using mike - Fixed 6494: Hide author's email address if disabled in git-authors plugin ``` ### 9.5.2 ``` - Fixed types for `slugify` settings in blog plugin config - Fixed 6469: Horizontal scrollbars on MathJax containers ``` ### 9.5.1 ``` - Updated Greek translations - Fixed 6464: Privacy plugin cannot be enabled - Fixed 6461: Sorting blog posts ignores time component in date ``` ### 9.5.0 ``` Merged Insiders features of 'Goat's Horn' funding goal - Added privacy plugin: automatic downloading of external assets - Added support for card grids and grid layouts - Added support for improved tooltips - Added support for content tabs anchor links (deep linking) - Added support for automatic dark/light mode - Added support for document contributors ``` ### 9.4.14 ``` - Added support for linking authors in blog posts ``` ### 9.4.13 ``` - Fixed 6365: Blog plugin pagination links to previous pages broken - Fixed 5758: Updated Mermaid.js to version 10.6.1 (latest) ``` ### 9.4.12 ``` - Improved blog plugin to generate Unicode-aware slugs by default - Fixed non-deterministic order of categories in blog plugin ``` ### 9.4.11 ``` - Fixed 6364: Search plugin crashing when enabling theme while serving - Fixed blog plugin crashing when disabling pagination ``` ### 9.4.10 ``` - Fixed 6356: Version selector can't be disabled via mike's configuration - Fixed 6281: Navigation not rendering due to Safari bug (9.4.2 regression) - Fixed 6261: Navigation expansion animates on first load (9.4.2 regression) ``` ### 9.4.9 ``` - Fixed 6344: Long entries cutoff in table of contents - Fixed 6336: Custom template for glob archive not working with pagination - Fixed 6328: Blog plugin crashes for locales with dashes, e.g. `pt-BR` - Fixed 6327: Copy-to-clipboard button doesn't trim trailing line feed - Fixed 6302: Version strings not matched when using mike, only aliases - Fixed instant navigation progress indicator for gzipped content in Chrome - Fixed rendering bug on details marker rotation in Firefox ```
Links - PyPI: https://pypi.org/project/mkdocs-material - Changelog: https://data.safetycli.com/changelogs/mkdocs-material/

Update nbconvert from 7.11.0 to 7.14.2.

Changelog ### 7.14.2 ``` ([Full Changelog](https://github.com/jupyter/nbconvert/compare/v7.14.1...9d8a7a8771d0349e49328efb7fc2b8fb99c7cc1f)) Maintenance and upkeep improvements - update to mermaid 10.7.0 [2098](https://github.com/jupyter/nbconvert/pull/2098) ([bollwyvl](https://github.com/bollwyvl)) Contributors to this release ([GitHub contributors page for this release](https://github.com/jupyter/nbconvert/graphs/contributors?from=2024-01-11&to=2024-01-16&type=c)) [bollwyvl](https://github.com/search?q=repo%3Ajupyter%2Fnbconvert+involves%3Abollwyvl+updated%3A2024-01-11..2024-01-16&type=Issues) ``` ### 7.14.1 ``` ([Full Changelog](https://github.com/jupyter/nbconvert/compare/v7.14.0...dedd81acdde7c96204d01f1392af896d2e6dbe1b)) Bugs fixed - Fix broken image scaling in case a custom width or height is provided for the image [2094](https://github.com/jupyter/nbconvert/pull/2094) ([AndSte01](https://github.com/AndSte01)) Maintenance and upkeep improvements - Allow pre-fetch of css files without attempting download [2095](https://github.com/jupyter/nbconvert/pull/2095) ([AlexanderRichert-NOAA](https://github.com/AlexanderRichert-NOAA)) - Bump the actions group with 1 update [2091](https://github.com/jupyter/nbconvert/pull/2091) ([dependabot](https://github.com/dependabot)) Contributors to this release ([GitHub contributors page for this release](https://github.com/jupyter/nbconvert/graphs/contributors?from=2024-01-01&to=2024-01-11&type=c)) [AlexanderRichert-NOAA](https://github.com/search?q=repo%3Ajupyter%2Fnbconvert+involves%3AAlexanderRichert-NOAA+updated%3A2024-01-01..2024-01-11&type=Issues) | [AndSte01](https://github.com/search?q=repo%3Ajupyter%2Fnbconvert+involves%3AAndSte01+updated%3A2024-01-01..2024-01-11&type=Issues) | [dependabot](https://github.com/search?q=repo%3Ajupyter%2Fnbconvert+involves%3Adependabot+updated%3A2024-01-01..2024-01-11&type=Issues) ``` ### 7.14.0 ``` ([Full Changelog](https://github.com/jupyter/nbconvert/compare/v7.13.1...0f17b3069d320565af12a4a12da7d9ce3c18dac4)) Enhancements made - Convert `coalescese_streams` function to `CoalesceStreamsPreprocessor` [2089](https://github.com/jupyter/nbconvert/pull/2089) ([ryan-williams](https://github.com/ryan-williams)) Maintenance and upkeep improvements - chore: update pre-commit hooks [2090](https://github.com/jupyter/nbconvert/pull/2090) ([pre-commit-ci](https://github.com/pre-commit-ci)) - Fix webpdf test on Python 3.12 [2088](https://github.com/jupyter/nbconvert/pull/2088) ([blink1073](https://github.com/blink1073)) - Clean up import [2087](https://github.com/jupyter/nbconvert/pull/2087) ([blink1073](https://github.com/blink1073)) Contributors to this release ([GitHub contributors page for this release](https://github.com/jupyter/nbconvert/graphs/contributors?from=2023-12-21&to=2024-01-01&type=c)) [blink1073](https://github.com/search?q=repo%3Ajupyter%2Fnbconvert+involves%3Ablink1073+updated%3A2023-12-21..2024-01-01&type=Issues) | [pre-commit-ci](https://github.com/search?q=repo%3Ajupyter%2Fnbconvert+involves%3Apre-commit-ci+updated%3A2023-12-21..2024-01-01&type=Issues) | [ryan-williams](https://github.com/search?q=repo%3Ajupyter%2Fnbconvert+involves%3Aryan-williams+updated%3A2023-12-21..2024-01-01&type=Issues) ``` ### 7.13.1 ``` ([Full Changelog](https://github.com/jupyter/nbconvert/compare/v7.13.0...15b2bc2e215bc3d0ab37508eeeb624ede5da0d36)) Bugs fixed - Restore removed import [2086](https://github.com/jupyter/nbconvert/pull/2086) ([blink1073](https://github.com/blink1073)) Contributors to this release ([GitHub contributors page for this release](https://github.com/jupyter/nbconvert/graphs/contributors?from=2023-12-18&to=2023-12-21&type=c)) [blink1073](https://github.com/search?q=repo%3Ajupyter%2Fnbconvert+involves%3Ablink1073+updated%3A2023-12-18..2023-12-21&type=Issues) ``` ### 7.13.0 ``` ([Full Changelog](https://github.com/jupyter/nbconvert/compare/v7.12.0...c72ad76251d50c9cf3139e23922e9ef3441e9860)) Enhancements made - Add table, td, tr to allowed list of tags [2083](https://github.com/jupyter/nbconvert/pull/2083) ([yuvipanda](https://github.com/yuvipanda)) Maintenance and upkeep improvements - Remove twitter links that cause linkcheck to fail [2084](https://github.com/jupyter/nbconvert/pull/2084) ([yuvipanda](https://github.com/yuvipanda)) - Update ruff config [2079](https://github.com/jupyter/nbconvert/pull/2079) ([blink1073](https://github.com/blink1073)) - chore: update pre-commit hooks [2076](https://github.com/jupyter/nbconvert/pull/2076) ([pre-commit-ci](https://github.com/pre-commit-ci)) Contributors to this release ([GitHub contributors page for this release](https://github.com/jupyter/nbconvert/graphs/contributors?from=2023-12-04&to=2023-12-18&type=c)) [blink1073](https://github.com/search?q=repo%3Ajupyter%2Fnbconvert+involves%3Ablink1073+updated%3A2023-12-04..2023-12-18&type=Issues) | [pre-commit-ci](https://github.com/search?q=repo%3Ajupyter%2Fnbconvert+involves%3Apre-commit-ci+updated%3A2023-12-04..2023-12-18&type=Issues) | [yuvipanda](https://github.com/search?q=repo%3Ajupyter%2Fnbconvert+involves%3Ayuvipanda+updated%3A2023-12-04..2023-12-18&type=Issues) ``` ### 7.12.0 ``` ([Full Changelog](https://github.com/jupyter/nbconvert/compare/v7.11.0...4f6ab6583de771e74874e72ec88c7fe09a5d4b6b)) Enhancements made - Allow to load config from env. [2075](https://github.com/jupyter/nbconvert/pull/2075) ([Carreau](https://github.com/Carreau)) Maintenance and upkeep improvements - Use ruff on notebooks and update typings [2068](https://github.com/jupyter/nbconvert/pull/2068) ([blink1073](https://github.com/blink1073)) Documentation improvements - update Python version support in docs [2037](https://github.com/jupyter/nbconvert/pull/2037) ([minrk](https://github.com/minrk)) Contributors to this release ([GitHub contributors page for this release](https://github.com/jupyter/nbconvert/graphs/contributors?from=2023-11-06&to=2023-12-04&type=c)) [blink1073](https://github.com/search?q=repo%3Ajupyter%2Fnbconvert+involves%3Ablink1073+updated%3A2023-11-06..2023-12-04&type=Issues) | [Carreau](https://github.com/search?q=repo%3Ajupyter%2Fnbconvert+involves%3ACarreau+updated%3A2023-11-06..2023-12-04&type=Issues) | [gnestor](https://github.com/search?q=repo%3Ajupyter%2Fnbconvert+involves%3Agnestor+updated%3A2023-11-06..2023-12-04&type=Issues) | [minrk](https://github.com/search?q=repo%3Ajupyter%2Fnbconvert+involves%3Aminrk+updated%3A2023-11-06..2023-12-04&type=Issues) | [mpacer](https://github.com/search?q=repo%3Ajupyter%2Fnbconvert+involves%3Ampacer+updated%3A2023-11-06..2023-12-04&type=Issues) ```
Links - PyPI: https://pypi.org/project/nbconvert - Changelog: https://data.safetycli.com/changelogs/nbconvert/

Update numpy from 1.26.1 to 1.26.3.

Changelog ### 1.26.3 ``` discovered after the 1.26.2 release. The most notable changes are the f2py bug fixes. The Python versions supported by this release are 3.9-3.12. Compatibility `f2py` will no longer accept ambiguous `-m` and `.pyf` CLI combinations. When more than one `.pyf` file is passed, an error is raised. When both `-m` and a `.pyf` is passed, a warning is emitted and the `-m` provided name is ignored. Improvements `f2py` now handles `common` blocks which have `kind` specifications from modules. This further expands the usability of intrinsics like `iso_fortran_env` and `iso_c_binding`. Contributors A total of 18 people contributed to this release. People with a \"+\" by their names contributed a patch for the first time. - \DWesl - \Illviljan - Alexander Grund - Andrea Bianchi + - Charles Harris - Daniel Vanzo - Johann Rohwer + - Matti Picus - Nathan Goldbaum - Peter Hawkins - Raghuveer Devulapalli - Ralf Gommers - Rohit Goswami - Sayed Adel - Sebastian Berg - Stefano Rivera + - Thomas A Caswell - matoro Pull requests merged A total of 42 pull requests were merged for this release. - [25130](https://github.com/numpy/numpy/pull/25130): MAINT: prepare 1.26.x for further development - [25188](https://github.com/numpy/numpy/pull/25188): TYP: add None to `__getitem__` in `numpy.array_api` - [25189](https://github.com/numpy/numpy/pull/25189): BLD,BUG: quadmath required where available \[f2py\] - [25190](https://github.com/numpy/numpy/pull/25190): BUG: alpha doesn\'t use REAL(10) - [25191](https://github.com/numpy/numpy/pull/25191): BUG: Fix FP overflow error in division when the divisor is scalar - [25192](https://github.com/numpy/numpy/pull/25192): MAINT: Pin scipy-openblas version. - [25201](https://github.com/numpy/numpy/pull/25201): BUG: Fix f2py to enable use of string optional inout argument - [25202](https://github.com/numpy/numpy/pull/25202): BUG: Fix -fsanitize=alignment issue in numpy/\_core/src/multiarray/arraytypes.c.src - [25203](https://github.com/numpy/numpy/pull/25203): TST: Explicitly pass NumPy path to cython during tests (also\... - [25204](https://github.com/numpy/numpy/pull/25204): BUG: fix issues with `newaxis` and `linalg.solve` in `numpy.array_api` - [25205](https://github.com/numpy/numpy/pull/25205): BUG: Disallow shadowed modulenames - [25217](https://github.com/numpy/numpy/pull/25217): BUG: Handle common blocks with kind specifications from modules - [25218](https://github.com/numpy/numpy/pull/25218): BUG: Fix moving compiled executable to root with f2py -c on Windows - [25219](https://github.com/numpy/numpy/pull/25219): BUG: Fix single to half-precision conversion on PPC64/VSX3 - [25227](https://github.com/numpy/numpy/pull/25227): TST: f2py: fix issue in test skip condition - [25240](https://github.com/numpy/numpy/pull/25240): Revert \"MAINT: Pin scipy-openblas version.\" - [25249](https://github.com/numpy/numpy/pull/25249): MAINT: do not use `long` type - [25377](https://github.com/numpy/numpy/pull/25377): TST: PyPy needs another gc.collect on latest versions - [25378](https://github.com/numpy/numpy/pull/25378): CI: Install Lapack runtime on Cygwin. - [25379](https://github.com/numpy/numpy/pull/25379): MAINT: Bump conda-incubator/setup-miniconda from 2.2.0 to 3.0.1 - [25380](https://github.com/numpy/numpy/pull/25380): BLD: update vendored Meson for AIX shared library fix - [25419](https://github.com/numpy/numpy/pull/25419): MAINT: Init `base` in cpu_avx512_kn - [25420](https://github.com/numpy/numpy/pull/25420): BUG: Fix failing test_features on SapphireRapids - [25422](https://github.com/numpy/numpy/pull/25422): BUG: Fix non-contiguous memory load when ARM/Neon is enabled - [25428](https://github.com/numpy/numpy/pull/25428): MAINT,BUG: Never import distutils above 3.12 \[f2py\] - [25452](https://github.com/numpy/numpy/pull/25452): MAINT: make the import-time check for old Accelerate more specific - [25458](https://github.com/numpy/numpy/pull/25458): BUG: fix macOS version checks for Accelerate support - [25465](https://github.com/numpy/numpy/pull/25465): MAINT: Bump actions/setup-node and larsoner/circleci-artifacts-redirector-action - [25466](https://github.com/numpy/numpy/pull/25466): BUG: avoid seg fault from OOB access in RandomState.set_state() - [25467](https://github.com/numpy/numpy/pull/25467): BUG: Fix two errors related to not checking for failed allocations - [25468](https://github.com/numpy/numpy/pull/25468): BUG: Fix regression with `f2py` wrappers when modules and subroutines\... - [25475](https://github.com/numpy/numpy/pull/25475): BUG: Fix build issues on SPR - [25478](https://github.com/numpy/numpy/pull/25478): BLD: fix uninitialized variable warnings from simd/neon/memory.h - [25480](https://github.com/numpy/numpy/pull/25480): BUG: Handle `iso_c_type` mappings more consistently - [25481](https://github.com/numpy/numpy/pull/25481): BUG: Fix module name bug in signature files \[urgent\] \[f2py\] - [25482](https://github.com/numpy/numpy/pull/25482): BUG: Handle .pyf.src and fix SciPy \[urgent\] - [25483](https://github.com/numpy/numpy/pull/25483): DOC: `f2py` rewrite with `meson` details - [25485](https://github.com/numpy/numpy/pull/25485): BUG: Add external library handling for meson \[f2py\] - [25486](https://github.com/numpy/numpy/pull/25486): MAINT: Run f2py\'s meson backend with the same python that ran\... - [25489](https://github.com/numpy/numpy/pull/25489): MAINT: Update `numpy/f2py/_backends` from main. - [25490](https://github.com/numpy/numpy/pull/25490): MAINT: Easy updates of `f2py/*.py` from main. - 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numpy-1.26.3-cp39-cp39-win_amd64.whl 3c67423b3703f8fbd90f5adaa37f85b5794d3366948efe9a5190a5f3a83fc34e numpy-1.26.3-pp39-pypy39_pp73-macosx_10_9_x86_64.whl 46f47ee566d98849323f01b349d58f2557f02167ee301e5e28809a8c0e27a2d0 numpy-1.26.3-pp39-pypy39_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl a8474703bffc65ca15853d5fd4d06b18138ae90c17c8d12169968e998e448bb5 numpy-1.26.3-pp39-pypy39_pp73-win_amd64.whl 697df43e2b6310ecc9d95f05d5ef20eacc09c7c4ecc9da3f235d39e71b7da1e4 numpy-1.26.3.tar.gz ``` ### 1.26.2 ``` discovered after the 1.26.1 release. 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. Contributors A total of 13 people contributed to this release. People with a \"+\" by their names contributed a patch for the first time. - \stefan6419846 - \thalassemia + - Andrew Nelson - Charles Bousseau + - Charles Harris - Marcel Bargull + - Mark Mentovai + - Matti Picus - Nathan Goldbaum - Ralf Gommers - Sayed Adel - Sebastian Berg - William Ayd + Pull requests merged A total of 25 pull requests were merged for this release. - [24814](https://github.com/numpy/numpy/pull/24814): MAINT: align test_dispatcher s390x targets with \_umath_tests_mtargets - [24929](https://github.com/numpy/numpy/pull/24929): MAINT: prepare 1.26.x for further development - [24955](https://github.com/numpy/numpy/pull/24955): ENH: Add Cython enumeration for NPY_FR_GENERIC - [24962](https://github.com/numpy/numpy/pull/24962): REL: Remove Python upper version from the release branch - [24971](https://github.com/numpy/numpy/pull/24971): BLD: Use the correct Python interpreter when running tempita.py - [24972](https://github.com/numpy/numpy/pull/24972): MAINT: Remove unhelpful error replacements from `import_array()` - [24977](https://github.com/numpy/numpy/pull/24977): BLD: use classic linker on macOS, the new one in XCode 15 has\... - [25003](https://github.com/numpy/numpy/pull/25003): BLD: musllinux_aarch64 \[wheel build\] - [25043](https://github.com/numpy/numpy/pull/25043): MAINT: Update mailmap - [25049](https://github.com/numpy/numpy/pull/25049): MAINT: Update meson build infrastructure. - [25071](https://github.com/numpy/numpy/pull/25071): MAINT: Split up .github/workflows to match main - [25083](https://github.com/numpy/numpy/pull/25083): BUG: Backport fix build on ppc64 when the baseline set to Power9\... - [25093](https://github.com/numpy/numpy/pull/25093): BLD: Fix features.h detection for Meson builds \[1.26.x Backport\] - [25095](https://github.com/numpy/numpy/pull/25095): BUG: Avoid intp conversion regression in Cython 3 (backport) - [25107](https://github.com/numpy/numpy/pull/25107): CI: remove obsolete jobs, and move macOS and conda Azure jobs\... - [25108](https://github.com/numpy/numpy/pull/25108): CI: Add linux_qemu action and remove travis testing. - [25112](https://github.com/numpy/numpy/pull/25112): MAINT: Update .spin/cmds.py from main. - [25113](https://github.com/numpy/numpy/pull/25113): DOC: Visually divide main license and bundled licenses in wheels - [25115](https://github.com/numpy/numpy/pull/25115): MAINT: Add missing `noexcept` to shuffle helpers - [25116](https://github.com/numpy/numpy/pull/25116): DOC: Fix license identifier for OpenBLAS - [25117](https://github.com/numpy/numpy/pull/25117): BLD: improve detection of Netlib libblas/libcblas/liblapack - [25118](https://github.com/numpy/numpy/pull/25118): MAINT: Make bitfield integers unsigned - [25119](https://github.com/numpy/numpy/pull/25119): BUG: Make n a long int for np.random.multinomial - [25120](https://github.com/numpy/numpy/pull/25120): BLD: change default of the `allow-noblas` option to true. - 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Links - PyPI: https://pypi.org/project/numpy - Changelog: https://data.safetycli.com/changelogs/numpy/ - Homepage: https://numpy.org

Update pandas from 2.1.2 to 2.2.0.

The bot wasn't able to find a changelog for this release. Got an idea?

Links - PyPI: https://pypi.org/project/pandas - Homepage: https://pandas.pydata.org

Update pymdown-extensions from 10.3.1 to 10.7.

Changelog ### 10.7 ``` - **NEW**: Emoji: Update Twemoji and Gemoji data to latest. - **NEW**: Emoji: Due to recent Gemoji update, non-standard emoji are no longer indexed. So emoji such as `:octocat:` are no longer resolved. - **NEW**: Highlight: Added new option `default_lang` which will cause code blocks with no language specifier to be highlighted with the specified default language instead of plain text. This affects indented code blocks and code blocks defined with SuperFences. - **NEW**: InlineHilite: `style_plain_text` can be specified with a language string (in addition to its previous boolean requirement) to treat inline code blocks with no explicit language specifier with a specific default language. ``` ### 10.6 ``` - **NEW**: MagicLink: Allow configuring custom repository providers based off the existing providers. ``` ### 10.5 ``` - **NEW**: Blocks: Admonitions and Details now allow configuring custom block classes and default titles. - **FIX**: Keys: Ensure that Keys does not parse base64 encoded URLs. ``` ### 10.4 ``` - **NEW**: Snippets: Allow PathLike objects for `base_path` to better support interactions with MkDocs. - **FIX**: Block Admonitions: Empty titles should be respected. - **FIX**: Block Details: Empty summary should be respected. ```
Links - PyPI: https://pypi.org/project/pymdown-extensions - Changelog: https://data.safetycli.com/changelogs/pymdown-extensions/

Update scipy from 1.11.3 to 1.12.0.

Changelog ### 1.12.0 ``` 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.ndimage` improvements ======================= `scipy.optimize` improvements ======================= - `scipy.optimize.nnls` is rewritten in Python and now implements the so-called fnnls or fast nnls. - 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. - ``minimize`` method ``Newton-CG`` has been made slightly more efficient. - ``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``. - ``minimize`` methods ``CG``, ``Newton-CG``, and ``BFGS`` now accept parameters ``c1`` and ``c2``, allowing specification of the Armijo and curvature rule parameters, respectively. - ``curve_fit`` performance has improved due to more efficient memoization of the callable function. - ``isotonic_regression`` has been added to allow nonparametric isotonic regression. `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 Guide" providing algorithmic details. The functions ``stft``, ``istft`` and ``spectrogram`` have been marked as legacy. `scipy.sparse` improvements ====================== - ``sparse.linalg`` iterative solvers ``sparse.linalg.cg``, ``sparse.linalg.cgs``, ``sparse.linalg.bicg``, ``sparse.linalg.bicgstab``, ``sparse.linalg.gmres``, and ``sparse.linalg.qmr`` are rewritten in Python. - Updated vendored SuperLU version to ``6.0.1``, along with a few additional fixes. - Sparse arrays have gained additional constructors: ``eye_array``, ``random_array``, ``block_array``, and ``identity``. ``kron`` and ``kronsum`` have been adjusted to additionally support operation on sparse arrays. - Sparse matrices now support a transpose with ``axes=(1, 0)``, to mirror the ``.T`` method. - ``LaplacianNd`` now allows selection of the largest subset of eigenvalues, and additionally now supports retrieval of the corresponding eigenvectors. The performance of ``LaplacianNd`` has also been improved. - The performance of ``dok_matrix`` and ``dok_array`` has been improved, and their inheritance behavior should be more robust. - ``hstack``, ``vstack``, and ``block_diag`` now work with sparse arrays, and preserve the input sparse type. - A new function, `scipy.sparse.linalg.matrix_power`, has been added, allowing for exponentiation of sparse arrays. `scipy.spatial` improvements ====================== - Two new methods were implemented for ``spatial.transform.Rotation``: ``__pow__`` to raise a rotation to integer or fractional power and ``approx_equal`` to check if two rotations are approximately equal. - The method ``Rotation.align_vectors`` was extended to solve a constrained alignment problem where two vectors are required to be aligned precisely. Also when given a single pair of vectors, the algorithm now returns the rotation with minimal magnitude, which can be considered as a minor backward incompatible change. - A new representation for ``spatial.transform.Rotation`` called Davenport angles is available through ``from_davenport`` and ``as_davenport`` methods. - Performance improvements have been added to ``distance.hamming`` and ``distance.correlation``. - Improved performance of ``SphericalVoronoi`` ``sort_vertices_of_regions`` and two dimensional area calculations. `scipy.special` improvements ====================== - Added `scipy.special.stirling2` for computation of Stirling numbers of the second kind. Both exact calculation and an asymptotic approximation (the default) are supported via ``exact=True`` and ``exact=False`` (the default) respectively. - Added `scipy.special.betaincc` for computation of the complementary incomplete Beta function and `scipy.special.betainccinv` for computation of its inverse. - Improved precision of `scipy.special.betainc` and `scipy.special.betaincinv` - Experimental support added for alternative backends: functions `scipy.special.log_ndtr`, `scipy.special.ndtr`, `scipy.special.ndtri`, `scipy.special.erf`, `scipy.special.erfc`, `scipy.special.i0`, `scipy.special.i0e`, `scipy.special.i1`, `scipy.special.i1e`, `scipy.special.gammaln`, `scipy.special.gammainc`, `scipy.special.gammaincc`, `scipy.special.logit`, and `scipy.special.expit` now accept PyTorch tensors and CuPy arrays. These features are still under development and likely to contain bugs, so they are disabled by default; enable them by setting a ``SCIPY_ARRAY_API`` environment variable to ``1`` before importing ``scipy``. Testing is appreciated! `scipy.stats` improvements ===================== - Added `scipy.stats.quantile_test`, a nonparametric test of whether a hypothesized value is the quantile associated with a specified probability. The ``confidence_interval`` method of the result object gives a confidence interval of the quantile. - `scipy.stats.wasserstein_distance` now computes the Wasserstein distance in the multidimensional case. - `scipy.stats.sampling.FastGeneratorInversion` provides a convenient interface to fast random sampling via numerical inversion of distribution CDFs. - `scipy.stats.geometric_discrepancy` adds geometric/topological discrepancy metrics for random samples. - `scipy.stats.multivariate_normal` now has a ``fit`` method for fitting distribution parameters to data via maximum likelihood estimation. - `scipy.stats.bws_test` performs the Baumgartner-Weiss-Schindler test of whether two-samples were drawn from the same distribution. - `scipy.stats.jf_skew_t` implements the Jones and Faddy skew-t distribution. - `scipy.stats.anderson_ksamp` now supports a permutation version of the test using the ``method`` parameter. - The ``fit`` methods of `scipy.stats.halfcauchy`, `scipy.stats.halflogistic`, and `scipy.stats.halfnorm` are faster and more accurate. - `scipy.stats.beta` ``entropy`` accuracy has been improved for extreme values of distribution parameters. - The accuracy of ``sf`` and/or ``isf`` methods have been improved for several distributions: `scipy.stats.burr`, `scipy.stats.hypsecant`, `scipy.stats.kappa3`, `scipy.stats.loglaplace`, `scipy.stats.lognorm`, `scipy.stats.lomax`, `scipy.stats.pearson3`, `scipy.stats.rdist`, and `scipy.stats.pareto`. - The following functions now support parameters ``axis``, ``nan_policy``, and ``keep_dims``: `scipy.stats.entropy`, `scipy.stats.differential_entropy`, `scipy.stats.variation`, `scipy.stats.ansari`, `scipy.stats.bartlett`, `scipy.stats.levene`, `scipy.stats.fligner`, `scipy.stats.cirmean, `scipy.stats.circvar`, `scipy.stats.circstd`, `scipy.stats.tmean`, `scipy.stats.tvar`, `scipy.stats.tstd`, `scipy.stats.tmin`, `scipy.stats.tmax`, and `scipy.stats.tsem`. - The ``logpdf`` and ``fit`` methods of `scipy.stats.skewnorm` have been improved. - The beta negative binomial distribution is implemented as `scipy.stats.betanbinom`. - The speed of `scipy.stats.invwishart` ``rvs`` and ``logpdf`` have been improved. - A source of intermediate overflow in `scipy.stats.boxcox_normmax` with ``method='mle'`` has been eliminated, and the returned value of ``lmbda`` is constrained such that the transformed data will not overflow. - `scipy.stats.nakagami` ``stats`` is more accurate and reliable. - A source of intermediate overflow in `scipy.norminvgauss.pdf` has been eliminated. - Added support for masked arrays to ``stats.circmean``, ``stats.circvar``, ``stats.circstd``, and ``stats.entropy``. - ``dirichlet`` has gained a new covariance (``cov``) method. - Improved accuracy of ``multivariate_t`` entropy with large degrees of freedom. - ``loggamma`` has an improved ``entropy`` method. Deprecated features =============== - Error messages have been made clearer for objects that don't exist in the public namespace and warnings sharpened for private attributes that are not supposed to be imported at all. - `scipy.signal.cmplx_sort` has been deprecated and will be removed in SciPy 1.14. A replacement you can use is provided in the deprecation message. - Values the the argument ``initial`` of `scipy.integrate.cumulative_trapezoid` other than ``0`` and ``None`` are now deprecated. - `scipy.stats.rvs_ratio_uniforms` is deprecated in favour of `scipy.stats.sampling.RatioUniforms` - `scipy.integrate.quadrature` and `scipy.integrate.romberg` have been deprecated due to accuracy issues and interface shortcomings. They will be removed in SciPy 1.14. Please use `scipy.integrate.quad` instead. - Coinciding with upcoming changes to function signatures (e.g. removal of a deprecated keyword), we are deprecating positional use of keyword arguments for the affected functions, which will raise an error starting with SciPy 1.14. In some cases, this has delayed the originally announced removal date, to give time to respond to the second part of the deprecation. Affected functions are: - ``linalg.{eigh, eigvalsh, pinv}`` - ``integrate.simpson`` - ``signal.{firls, firwin, firwin2, remez}`` - ``sparse.linalg.{bicg, bicgstab, cg, cgs, gcrotmk, gmres, lgmres, minres, qmr, tfqmr}`` - ``special.comb`` - ``stats.kendalltau`` - All wavelet functions have been deprecated, as PyWavelets provides suitable implementations; affected functions are: ``signal.{daub, qmf, cascade, morlet, morlet2, ricker, cwt}`` Expired Deprecations ================ There is an ongoing effort to follow through on long-standing deprecations. The following previously deprecated features are affected: - The ``centered`` keyword of `stats.qmc.LatinHypercube` has been removed. Use ``scrambled=False`` instead of ``centered=True``. Backwards incompatible changes ========================= Other changes =========== - The arguments used to compile and link SciPy are now available via ``show_config``. Authors ====== * Name (commits) * endolith (1) * h-vetinari (29) * Tom Adamczewski (3) + * Anudeep Adiraju (1) + * akeemlh (1) * Alex Amadori (2) + * Raja Yashwanth Avantsa (2) + * Seth Axen (1) + * Ross Barnowski (1) * Dan Barzilay (1) + * Ashish Bastola (1) + * Christoph Baumgarten (2) * Ben Beasley (3) + * Doron Behar (1) * Peter Bell (1) * Sebastian Berg (1) * Ben Boeckel (1) + * David Boetius (1) + * Jake Bowhay (102) * Larry Bradley (1) + * Dietrich Brunn (5) * Evgeni Burovski (101) * Matthias Bussonnier (18) * CJ Carey (6) * Colin Carroll (1) + * Aadya Chinubhai (1) + * Luca Citi (1) * Lucas Colley (140) + * com3dian (1) + * Anirudh Dagar (4) * Danni (1) + * Dieter Werthmüller (1) * John Doe (2) + * Philippe DONNAT (2) + * drestebon (1) + * Thomas Duvernay (1) * elbarso (1) + * emilfrost (2) + * Paul Estano (8) + * Evandro (2) * Franz Király (1) + * Nikita Furin (1) + * gabrielthomsen (1) + * Lukas Geiger (9) + * Artem Glebov (22) + * Caden Gobat (1) * Ralf Gommers (125) * Alexander Goscinski (2) + * Rohit Goswami (2) + * Olivier Grisel (1) * Matt Haberland (243) * Charles Harris (1) * harshilkamdar (1) + * Alon Hovav (2) + * Gert-Ludwig Ingold (1) * Romain Jacob (1) + * jcwhitehead (1) + * Julien Jerphanion (13) * He Jia (1) * JohnWT (1) + * jokasimr (1) + * Evan W Jones (1) * Karen Róbertsdóttir (1) + * Ganesh Kathiresan (1) * Robert Kern (11) * Andrew Knyazev (4) * Uwe L. Korn (1) + * Rishi Kulkarni (1) * Kale Kundert (3) + * Jozsef Kutas (2) * Kyle0 (2) + * Robert Langefeld (1) + * Jeffrey Larson (1) + * Jessy Lauer (1) + * lciti (1) + * Hoang Le (1) + * Antony Lee (5) * Thilo Leitzbach (4) + * LemonBoy (2) + * Ellie Litwack (8) + * Thomas Loke (4) + * Malte Londschien (1) + * Christian Lorentzen (6) * Adam Lugowski (9) + * lutefiskhotdish (1) * mainak33 (1) + * Ben Mares (11) + * mart-mihkel (2) + * Mateusz Sokół (24) + * Nikolay Mayorov (4) * Nicholas McKibben (1) * Melissa Weber Mendonça (7) * Kat Mistberg (2) + * mkiffer (1) + * mocquin (1) + * Nicolas Mokus (2) + * Sturla Molden (1) * Roberto Pastor Muela (3) + * Bijay Nayak (1) + * Andrew Nelson (105) * Praveer Nidamaluri (2) + * Lysandros Nikolaou (2) * Dimitri Papadopoulos Orfanos (7) * Pablo Rodríguez Pérez (1) + * Dimitri Papadopoulos (2) * Tirth Patel (14) * Kyle Paterson (1) + * Paul (4) + * Yann Pellegrini (2) + * Matti Picus (4) * Ilhan Polat (36) * Pranav (1) + * Bharat Raghunathan (1) * Chris Rapson (1) + * Matteo Raso (4) * Tyler Reddy (165) * Martin Reinecke (1) * Tilo Reneau-Cardoso (1) + * resting-dove (2) + * Simon Segerblom Rex (4) * Lucas Roberts (2) * Pamphile Roy (31) * Feras Saad (3) + * Atsushi Sakai (3) * Masahiro Sakai (2) + * Omar Salman (14) * Andrej Savikin (1) + * Daniel Schmitz (52) * Dan Schult (19) * Scott Shambaugh (9) * Sheila-nk (2) + * Mauro Silberberg (3) + * Maciej Skorski (1) + * Laurent Sorber (1) + * Albert Steppi (28) * Kai Striega (1) * Saswat Susmoy (1) + * Alex Szatmary (1) + * Søren Fuglede Jørgensen (3) * othmane tamri (3) + * Ewout ter Hoeven (1) * Will Tirone (1) * TLeitzbach (1) + * Kevin Topolski (1) + * Edgar Andrés Margffoy Tuay (1) * Dipansh Uikey (1) + * Matus Valo (3) * Christian Veenhuis (2) * Nicolas Vetsch (1) + * Isaac Virshup (7) * Hielke Walinga (2) + * Stefan van der Walt (2) * Warren Weckesser (7) * Bernhard M. Wiedemann (4) * Levi John Wolf (1) * Xuefeng Xu (4) + * Rory Yorke (2) * YoussefAli1 (1) + * Irwin Zaid (4) + * Jinzhe Zeng (1) + * JIMMY ZHAO (1) + A total of 161 people contributed to this release. People with a "+" by their names contributed a patch for the first time. This list of names is automatically generated, and may not be fully complete. ``` ### 1.11.4 ``` compared to `1.11.3`. Authors ======= * Name (commits) * Jake Bowhay (2) * Ralf Gommers (4) * Julien Jerphanion (2) * Nikolay Mayorov (2) * Melissa Weber Mendonça (1) * Tirth Patel (1) * Tyler Reddy (22) * Dan Schult (3) * Nicolas Vetsch (1) + A total of 9 people contributed to this release. People with a "+" by their names contributed a patch for the first time. This list of names is automatically generated, and may not be fully complete. ```
Links - PyPI: https://pypi.org/project/scipy - Changelog: https://data.safetycli.com/changelogs/scipy/ - Homepage: https://scipy.org/
pyup-bot commented 10 months ago

Closing this in favor of #386