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build(deps): bump the pip group across 2 directories with 4 updates - #219

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build(deps): bump the pip group across 2 directories with 4 updates#219
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Bumps the pip group with 4 updates in the /campaigns/iscas_sustainability_extension/memory_compiler/gate3_openram_attempt02 directory: joblib, numpy, pygments and scikit-learn.
Bumps the pip group with 4 updates in the /campaigns/iscas_sustainability_extension/memory_compiler/gate3_openram_attempt04_sky130_control_integration_repair/raw/environment directory: joblib, numpy, pygments and scikit-learn.

Updates joblib from 0.14.0 to 1.2.0

Changelog

Sourced from joblib's changelog.

Release 1.2.0

  • Fix a security issue where eval(pre_dispatch) could potentially run arbitrary code. Now only basic numerics are supported. joblib/joblib#1327

  • Make sure that joblib works even when multiprocessing is not available, for instance with Pyodide joblib/joblib#1256

  • Avoid unnecessary warnings when workers and main process delete the temporary memmap folder contents concurrently. joblib/joblib#1263

  • Fix memory alignment bug for pickles containing numpy arrays. This is especially important when loading the pickle with mmap_mode != None as the resulting numpy.memmap object would not be able to correct the misalignment without performing a memory copy. This bug would cause invalid computation and segmentation faults with native code that would directly access the underlying data buffer of a numpy array, for instance C/C++/Cython code compiled with older GCC versions or some old OpenBLAS written in platform specific assembly. joblib/joblib#1254

  • Vendor cloudpickle 2.2.0 which adds support for PyPy 3.8+.

  • Vendor loky 3.3.0 which fixes several bugs including:

    • robustly forcibly terminating worker processes in case of a crash (joblib/joblib#1269);

    • avoiding leaking worker processes in case of nested loky parallel calls;

    • reliability spawn the correct number of reusable workers.

Release 1.1.1

  • Fix a security issue where eval(pre_dispatch) could potentially run arbitrary code. Now only basic numerics are supported. joblib/joblib#1327

Release 1.1.0

  • Fix byte order inconsistency issue during deserialization using joblib.load

... (truncated)

Commits
  • 5991350 Release 1.2.0
  • 3fa2188 MAINT cleanup numpy warnings related to np.matrix in tests (#1340)
  • cea26ff CI test the future loky-3.3.0 branch (#1338)
  • 8aca6f4 MAINT: remove pytest.warns(None) warnings in pytest 7 (#1264)
  • 067ed4f XFAIL test_child_raises_parent_exits_cleanly with multiprocessing (#1339)
  • ac4ebd5 MAINT add back pytest warnings plugin (#1337)
  • a23427d Test child raises parent exits cleanly more reliable on macos (#1335)
  • ac09691 [MAINT] various test updates (#1334)
  • 4a314b1 Vendor loky 3.2.0 (#1333)
  • bdf47e9 Make test_parallel_with_interactively_defined_functions_default_backend timeo...
  • Additional commits viewable in compare view

Updates numpy from 1.17.4 to 1.22.0

Release notes

Sourced from numpy's releases.

v1.22.0

NumPy 1.22.0 Release Notes

NumPy 1.22.0 is a big release featuring the work of 153 contributors spread over 609 pull requests. There have been many improvements, highlights are:

  • Annotations of the main namespace are essentially complete. Upstream is a moving target, so there will likely be further improvements, but the major work is done. This is probably the most user visible enhancement in this release.
  • A preliminary version of the proposed Array-API is provided. This is a step in creating a standard collection of functions that can be used across application such as CuPy and JAX.
  • NumPy now has a DLPack backend. DLPack provides a common interchange format for array (tensor) data.
  • New methods for quantile, percentile, and related functions. The new methods provide a complete set of the methods commonly found in the literature.
  • A new configurable allocator for use by downstream projects.

These are in addition to the ongoing work to provide SIMD support for commonly used functions, improvements to F2PY, and better documentation.

The Python versions supported in this release are 3.8-3.10, Python 3.7 has been dropped. Note that 32 bit wheels are only provided for Python 3.8 and 3.9 on Windows, all other wheels are 64 bits on account of Ubuntu, Fedora, and other Linux distributions dropping 32 bit support. All 64 bit wheels are also linked with 64 bit integer OpenBLAS, which should fix the occasional problems encountered by folks using truly huge arrays.

Expired deprecations

Deprecated numeric style dtype strings have been removed

Using the strings "Bytes0", "Datetime64", "Str0", "Uint32", and "Uint64" as a dtype will now raise a TypeError.

(gh-19539)

Expired deprecations for loads, ndfromtxt, and mafromtxt in npyio

numpy.loads was deprecated in v1.15, with the recommendation that users use pickle.loads instead. ndfromtxt and mafromtxt were both deprecated in v1.17 - users should use numpy.genfromtxt instead with the appropriate value for the usemask parameter.

(gh-19615)

... (truncated)

Commits

Updates pygments from 2.19.2 to 2.20.0

Release notes

Sourced from pygments's releases.

2.20.0

  • New lexers:

  • Updated lexers:

    • archetype: Fix catastrophic backtracking in GUID and ID patterns (#3064)
    • ASN.1: Recognize minus sign and fix range operator (#3014, #3060)
    • C++: Add C++26 keywords (#2955), add integer literal suffixes (#2966)
    • ComponentPascal: Fix analyse_text (#3028, #3032)
    • Coq renamed to Rocq (#2883, #2908)
    • Cython: Various improvements (#2932, #2933)
    • Debian control: Improve architecture parsing (#3052)
    • Devicetree: Add support for overlay/fragments (#3021), add bytestring support (#3022), fix catastrophic backtracking (#3057)
    • Fennel: Various improvements (#2911)
    • Haskell: Handle escape sequences in character literals (#3069, #1795)
    • Java: Add module keywords (#2955)
    • Lean4: Add operators ]', ]?, ]! (#2946)
    • LESS: Support single-line comments (#3005)
    • LilyPond: Update to 2.25.29 (#2974)
    • LLVM: Support C-style comments (#3023, #2978)
    • Lua(u): Fix catastrophic backtracking (#3047)
    • Macaulay2: Update to 1.25.05 (#2893), 1.25.11 (#2988)
    • Mathematica: Various improvements (#2957)
    • meson: Add additional operators (#2919)
    • MySQL: Update keywords (#2970)
    • org-Mode: Support both schedule and deadline (#2899)
    • PHP: Add __PROPERTY__ magic constant (#2924), add reserved keywords (#3002)
    • PostgreSQL: Add more keywords (#2985)
    • protobuf: Fix namespace tokenization (#2929)
    • Python: Add t-string support (#2973, #3009, #3010)
    • Tablegen: Fix infinite loop (#2972, #2940)
    • Tera Term macro: Add commands introduced in v5.3 through v5.6 (#2951)
    • TOML: Support TOML 1.1.0 (#3026, #3027)
    • Turtle: Allow empty comment lines (#2980)
    • XML: Added .xbrl as file ending (#2890, #2891)

  • Drop Python 3.8, and add Python 3.14 as a supported version (#2987, #3012)

  • Various improvements to autopygmentize (#2894)

  • Update onedark style to support more token types (#2977)

  • Update rtt style to support more token types (#2895)

  • Cache entry points to improve performance (#2979)

  • Fix xterm-256 color table (#3043)

  • Fix kwargs dictionary getting mutated on each call (#3044)

Changelog

Sourced from pygments's changelog.

Version 2.20.0

(released March 29th, 2026)

  • New lexers:

  • Updated lexers:

    • archetype: Fix catastrophic backtracking in GUID and ID patterns (#3064)
    • ASN.1: Recognize minus sign and fix range operator (#3014, #3060)
    • C++: Add C++26 keywords (#2955), add integer literal suffixes (#2966)
    • ComponentPascal: Fix analyse_text (#3028, #3032)
    • Coq renamed to Rocq (#2883, #2908)
    • Cython: Various improvements (#2932, #2933)
    • Debian control: Improve architecture parsing (#3052)
    • Devicetree: Add support for overlay/fragments (#3021), add bytestring support (#3022), fix catastrophic backtracking (#3057)
    • Fennel: Various improvements (#2911)
    • Haskell: Handle escape sequences in character literals (#3069, #1795)
    • Java: Add module keywords (#2955)
    • Lean4: Add operators ]', ]?, ]! (#2946)
    • LESS: Support single-line comments (#3005)
    • LilyPond: Update to 2.25.29 (#2974)
    • LLVM: Support C-style comments (#3023, #2978)
    • Lua(u): Fix catastrophic backtracking (#3047)
    • Macaulay2: Update to 1.25.05 (#2893), 1.25.11 (#2988)
    • Mathematica: Various improvements (#2957)
    • meson: Add additional operators (#2919)
    • MySQL: Update keywords (#2970)
    • org-Mode: Support both schedule and deadline (#2899)
    • PHP: Add __PROPERTY__ magic constant (#2924), add reserved keywords (#3002)
    • PostgreSQL: Add more keywords (#2985)
    • protobuf: Fix namespace tokenization (#2929)
    • Python: Add t-string support (#2973, #3009, #3010)
    • Tablegen: Fix infinite loop (#2972, #2940)
    • Tera Term macro: Add commands introduced in v5.3 through v5.6 (#2951)
    • TOML: Support TOML 1.1.0 (#3026, #3027)
    • Turtle: Allow empty comment lines (#2980)
    • XML: Added .xbrl as file ending (#2890, #2891)

  • Drop Python 3.8, and add Python 3.14 as a supported version (#2987, #3012)

  • Various improvements to autopygmentize (#2894)

  • Update onedark style to support more token types (#2977)

  • Update rtt style to support more token types (#2895)

  • Cache entry points to improve performance (#2979)

  • Fix xterm-256 color table (#3043)

  • Fix kwargs dictionary getting mutated on each call (#3044)

Commits
  • 708197d Fix underline length.
  • 1d4538a Prepare 2.20 release.
  • 2ceaee4 Update CHANGES.
  • e3a3c54 Fix Haskell lexer: handle escape sequences in character literals (#3069)
  • d7c3453 Merge pull request #3071 from pygments/harden-html-formatter
  • 0f97e7c Harden the HTML formatter against CSS.
  • 9f981b2 Update CHANGES.
  • 1d88915 Update CHANGES.
  • c3d93ad Fix ASN.1 lexer: recognize minus sign and fix range operator (#3060)
  • 4f06bcf fix bad behaving backtracking regex in CommonLispLexer
  • Additional commits viewable in compare view

Updates scikit-learn from 0.22.2.post1 to 1.5.0

Release notes

Sourced from scikit-learn's releases.

Scikit-learn 1.5.0

We're happy to announce the 1.5.0 release.

You can read the release highlights under https://scikit-learn.org/stable/auto_examples/release_highlights/plot_release_highlights_1_5_0.html and the long version of the change log under https://scikit-learn.org/stable/whats_new/v1.5.html

This version supports Python versions 3.9 to 3.12.

You can upgrade with pip as usual:

pip install -U scikit-learn

The conda-forge builds can be installed using:

conda install -c conda-forge scikit-learn

Scikit-learn 1.4.2

We're happy to announce the 1.4.2 release.

This release only includes support for numpy 2.

This version supports Python versions 3.9 to 3.12.

You can upgrade with pip as usual:

pip install -U scikit-learn

Scikit-learn 1.4.1.post1

We're happy to announce the 1.4.1.post1 release.

You can see the changelog here: https://scikit-learn.org/stable/whats_new/v1.4.html#version-1-4-1-post1

This version supports Python versions 3.9 to 3.12.

You can upgrade with pip as usual:

pip install -U scikit-learn

The conda-forge builds can be installed using:

conda install -c conda-forge scikit-learn

... (truncated)

Commits

Updates joblib from 0.14.0 to 1.2.0

Changelog

Sourced from joblib's changelog.

Release 1.2.0

  • Fix a security issue where eval(pre_dispatch) could potentially run arbitrary code. Now only basic numerics are supported. joblib/joblib#1327

  • Make sure that joblib works even when multiprocessing is not available, for instance with Pyodide joblib/joblib#1256

  • Avoid unnecessary warnings when workers and main process delete the temporary memmap folder contents concurrently. joblib/joblib#1263

  • Fix memory alignment bug for pickles containing numpy arrays. This is especially important when loading the pickle with mmap_mode != None as the resulting numpy.memmap object would not be able to correct the misalignment without performing a memory copy. This bug would cause invalid computation and segmentation faults with native code that would directly access the underlying data buffer of a numpy array, for instance C/C++/Cython code compiled with older GCC versions or some old OpenBLAS written in platform specific assembly. joblib/joblib#1254

  • Vendor cloudpickle 2.2.0 which adds support for PyPy 3.8+.

  • Vendor loky 3.3.0 which fixes several bugs including:

    • robustly forcibly terminating worker processes in case of a crash (joblib/joblib#1269);

    • avoiding leaking worker processes in case of nested loky parallel calls;

    • reliability spawn the correct number of reusable workers.

Release 1.1.1

  • Fix a security issue where eval(pre_dispatch) could potentially run arbitrary code. Now only basic numerics are supported. joblib/joblib#1327

Release 1.1.0

  • Fix byte order inconsistency issue during deserialization using joblib.load

... (truncated)

Commits
  • 5991350 Release 1.2.0
  • 3fa2188 MAINT cleanup numpy warnings related to np.matrix in tests (#1340)
  • cea26ff CI test the future loky-3.3.0 branch (#1338)
  • 8aca6f4 MAINT: remove pytest.warns(None) warnings in pytest 7 (#1264)
  • 067ed4f XFAIL test_child_raises_parent_exits_cleanly with multiprocessing (#1339)
  • ac4ebd5 MAINT add back pytest warnings plugin (#1337)
  • a23427d Test child raises parent exits cleanly more reliable on macos (#1335)
  • ac09691 [MAINT] various test updates (#1334)
  • 4a314b1 Vendor loky 3.2.0 (#1333)
  • bdf47e9 Make test_parallel_with_interactively_defined_functions_default_backend timeo...
  • Additional commits viewable in compare view

Updates numpy from 1.17.4 to 1.22.0

Release notes

Sourced from numpy's releases.

v1.22.0

NumPy 1.22.0 Release Notes

NumPy 1.22.0 is a big release featuring the work of 153 contributors spread over 609 pull requests. There have been many improvements, highlights are:

  • Annotations of the main namespace are essentially complete. Upstream is a moving target, so there will likely be further improvements, but the major work is done. This is probably the most user visible enhancement in this release.
  • A preliminary version of the proposed Array-API is provided. This is a step in creating a standard collection of functions that can be used across application such as CuPy and JAX.
  • NumPy now has a DLPack backend. DLPack provides a common interchange format for array (tensor) data.
  • New methods for quantile, percentile, and related functions. The new methods provide a complete set of the methods commonly found in the literature.
  • A new configurable allocator for use by downstream projects.

These are in addition to the ongoing work to provide SIMD support for commonly used functions, improvements to F2PY, and better documentation.

The Python versions supported in this release are 3.8-3.10, Python 3.7 has been dropped. Note that 32 bit wheels are only provided for Python 3.8 and 3.9 on Windows, all other wheels are 64 bits on account of Ubuntu, Fedora, and other Linux distributions dropping 32 bit support. All 64 bit wheels are also linked with 64 bit integer OpenBLAS, which should fix the occasional problems encountered by folks using truly huge arrays.

Expired deprecations

Deprecated numeric style dtype strings have been removed

Using the strings "Bytes0", "Datetime64", "Str0", "Uint32", and "Uint64" as a dtype will now raise a TypeError.

(gh-19539)

Expired deprecations for loads, ndfromtxt, and mafromtxt in npyio

numpy.loads was deprecated in v1.15, with the recommendation that users use pickle.loads instead. ndfromtxt and mafromtxt were both deprecated in v1.17 - users should use numpy.genfromtxt instead with the appropriate value for the usemask parameter.

(gh-19615)

... (truncated)

Commits

Updates pygments from 2.19.2 to 2.20.0

Release notes

Sourced from pygments's releases.

2.20.0

  • New lexers:

  • Updated lexers:

    • archetype: Fix catastrophic backtracking in GUID and ID patterns (#3064)
    • ASN.1: Recognize minus sign and fix range operator (#3014, #3060)
    • C++: Add C++26 keywords (#2955), add integer literal suffixes (#2966)
    • ComponentPascal: Fix analyse_text (#3028, #3032)
    • Coq renamed to Rocq (#2883, #2908)
    • Cython: Various improvements (#2932, #2933)
    • Debian control: Improve architecture parsing (#3052)
    • Devicetree: Add support for overlay/fragments (#3021), add bytestring support (#3022), fix catastrophic backtracking (#3057)
    • Fennel: Various improvements (#2911)
    • Haskell: Handle escape sequences in character literals (#3069, #1795)
    • Java: Add module keywords (#2955)
    • Lean4: Add operators ]', ]?, ]! (#2946)
    • LESS: Support single-line comments (#3005)
    • LilyPond: Update to 2.25.29 (#2974)
    • LLVM: Support C-style comments (#3023, #2978)
    • Lua(u): Fix catastrophic backtracking (#3047)
    • Macaulay2: Update to 1.25.05 (#2893), 1.25.11 (#2988)
    • Mathematica: Various improvements (#2957)
    • meson: Add additional operators (#2919)
    • MySQL: Update keywords (#2970)
    • org-Mode: Support both schedule and deadline (#2899)
    • PHP: Add __PROPERTY__ magic constant (#2924), add reserved keywords (#3002)
    • PostgreSQL: Add more keywords (#2985)
    • protobuf: Fix namespace tokenization (#2929)
    • Python: Add t-string support (#2973, #3009, #3010)
    • Tablegen: Fix infinite loop (#2972, #2940)
    • Tera Term macro: Add commands introduced in v5.3 through v5.6 (#2951)
    • TOML: Support TOML 1.1.0 (#3026, #3027)
    • Turtle: Allow empty comment lines (#2980)
    • XML: Added .xbrl as file ending (#2890, #2891)

  • Drop Python 3.8, and add Python 3.14 as a supported version (#2987, #3012)

  • Various improvements to autopygmentize (#2894)

  • Update onedark style to support more token types (#2977)

  • Update rtt style to support more token types (#2895)

  • Cache entry points to improve performance (#2979)

  • Fix xterm-256 color table (#3043)

  • Fix kwargs dictionary getting mutated on each call (#3044)

Changelog

Sourced from pygments's changelog.

Version 2.20.0

(released March 29th, 2026)

  • New lexers:

  • Updated lexers:

    • archetype: Fix catastrophic backtracking in GUID and ID patterns (#3064)
    • ASN.1: Recognize minus sign and fix range operator (#3014, #3060)
    • C++: Add C++26 keywords (#2955), add integer literal suffixes (#2966)
    • ComponentPascal: Fix analyse_text (#3028, #3032)
    • Coq renamed to Rocq (#2883, #2908)
    • Cython: Various improvements (#2932, #2933)
    • Debian control: Improve architecture parsing (#3052)
    • Devicetree: Add support for overlay/fragments (#3021), add bytestring support (#3022), fix catastrophic backtracking (#3057)
    • Fennel: Various improvements (#2911)
    • Haskell: Handle escape sequences in character literals (#3069, #1795)
    • Java: Add module keywords (#2955)
    • Lean4: Add operators ]', ]?, ]! (#2946)
    • LESS: Support single-line comments (#3005)
    • LilyPond: Update to 2.25.29 (#2974)
    • LLVM: Support C-style comments (#3023, #2978)
    • Lua(u): Fix catastrophic backtracking (#3047)
    • Macaulay2: Update to 1.25.05 (#2893), 1.25.11 (#2988)
    • Mathematica: Various improvements (#2957)
    • meson: Add additional operators (#2919)
    • MySQL: Update keywords (#2970)
    • org-Mode: Support both schedule and deadline (#2899)
    • PHP: Add __PROPERTY__ magic constant (#2924), add reserved keywords (#3002)
    • PostgreSQL: Add more keywords (#2985)
    • protobuf: Fix namespace tokenization (#2929)
    • Python: Add t-string support (#2973, #3009, #3010)
    • Tablegen: Fix infinite loop (#2972, #2940)
    • Tera Term macro: Add commands introduced in v5.3 through v5.6 (#2951)
    • TOML: Support TOML 1.1.0 (#3026, #3027)
    • Turtle: Allow empty comment lines (#2980)
    • XML: Added .xbrl as file ending (#2890, #2891)

  • Drop Python 3.8, and add Python 3.14 as a supported version (#2987, #3012)

  • Various improvements to autopygmentize (#2894)

  • Update onedark style to support more token types (#2977)

  • Update rtt style to support more token types (#2895)

  • Cache entry points to improve performance (#2979)

  • Fix xterm-256 color table (#3043)

  • Fix kwargs dictionary getting mutated on each call (#3044)

Commits
  • 708197d Fix underline length.
  • 1d4538a Prepare 2.20 release.
  • 2ceaee4 Update CHANGES.
  • e3a3c54 Fix Haskell lexer: handle escape sequences in character literals (#3069)
  • d7c3453 Merge pull request #3071 from pygments/harden-html-formatter
  • 0f97e7c Harden the HTML formatter against CSS.
  • 9f981b2 Update CHANGES.
  • 1d88915 Update CHANGES.
  • c3d93ad Fix ASN.1 lexer: recognize minus sign and fix range operator (#3060)
  • 4f06bcf fix bad behaving backtracking regex in CommonLispLexer
  • Additional commits viewable in compare view

Updates scikit-learn from 0.22.2.post1 to 1.5.0

Release notes

Sourced from scikit-learn's releases.

Scikit-learn 1.5.0

We're happy to announce the 1.5.0 release.

You can read the release highlights under https://scikit-learn.org/stable/auto_examples/release_highlights/plot_release_highlights_1_5_0.html and the long version of the change log under https://scikit-learn.org/stable/whats_new/v1.5.html

This version supports Python versions 3.9 to 3.12.

You can upgrade with pip as usual:

pip install -U scikit-learn

The conda-forge builds can be installed using:

conda install -c conda-forge scikit-learn

Scikit-learn 1.4.2

We're happy to announce the 1.4.2 release.

This release only includes support for numpy 2.

This version supports Python versions 3.9 to 3.12.

You can upgrade with pip as usual:

pip install -U scikit-learn

Scikit-learn 1.4.1.post1

We're happy to announce the 1.4.1.post1 release.

You can see the changelog here: https://scikit-learn.org/stable/whats_new/v1.4.html#version-1-4-1-post1

This version supports Python versions 3.9 to 3.12.

You can upgrade with pip as usual:

pip install -U scikit-learn

The conda-forge builds can be installed using:

conda install -c conda-forge scikit-learn

... (truncated)

Commits

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@dependabot
build(deps): bump the pip group across 2 directories with 4 updates
b193724 
Bumps the pip group with 4 updates in the /campaigns/iscas_sustainability_extension/memory_compiler/gate3_openram_attempt02 directory: [joblib](https://github.com/joblib/joblib), [numpy](https://github.com/numpy/numpy), [pygments](https://github.com/pygments/pygments) and [scikit-learn](https://github.com/scikit-learn/scikit-learn).
Bumps the pip group with 4 updates in the /campaigns/iscas_sustainability_extension/memory_compiler/gate3_openram_attempt04_sky130_control_integration_repair/raw/environment directory: [joblib](https://github.com/joblib/joblib), [numpy](https://github.com/numpy/numpy), [pygments](https://github.com/pygments/pygments) and [scikit-learn](https://github.com/scikit-learn/scikit-learn).


Updates `joblib` from 0.14.0 to 1.2.0
- [Release notes](https://github.com/joblib/joblib/releases)
- [Changelog](https://github.com/joblib/joblib/blob/main/CHANGES.rst)
- [Commits](joblib/joblib@0.14.0...1.2.0)

Updates `numpy` from 1.17.4 to 1.22.0
- [Release notes](https://github.com/numpy/numpy/releases)
- [Changelog](https://github.com/numpy/numpy/blob/main/doc/RELEASE_WALKTHROUGH.rst)
- [Commits](numpy/numpy@v1.17.4...v1.22.0)

Updates `pygments` from 2.19.2 to 2.20.0
- [Release notes](https://github.com/pygments/pygments/releases)
- [Changelog](https://github.com/pygments/pygments/blob/master/CHANGES)
- [Commits](pygments/pygments@2.19.2...2.20.0)

Updates `scikit-learn` from 0.22.2.post1 to 1.5.0
- [Release notes](https://github.com/scikit-learn/scikit-learn/releases)
- [Commits](scikit-learn/scikit-learn@0.22.2.post1...1.5.0)

Updates `joblib` from 0.14.0 to 1.2.0
- [Release notes](https://github.com/joblib/joblib/releases)
- [Changelog](https://github.com/joblib/joblib/blob/main/CHANGES.rst)
- [Commits](joblib/joblib@0.14.0...1.2.0)

Updates `numpy` from 1.17.4 to 1.22.0
- [Release notes](https://github.com/numpy/numpy/releases)
- [Changelog](https://github.com/numpy/numpy/blob/main/doc/RELEASE_WALKTHROUGH.rst)
- [Commits](numpy/numpy@v1.17.4...v1.22.0)

Updates `pygments` from 2.19.2 to 2.20.0
- [Release notes](https://github.com/pygments/pygments/releases)
- [Changelog](https://github.com/pygments/pygments/blob/master/CHANGES)
- [Commits](pygments/pygments@2.19.2...2.20.0)

Updates `scikit-learn` from 0.22.2.post1 to 1.5.0
- [Release notes](https://github.com/scikit-learn/scikit-learn/releases)
- [Commits](scikit-learn/scikit-learn@0.22.2.post1...1.5.0)

---
updated-dependencies:
- dependency-name: joblib
  dependency-version: 1.2.0
  dependency-type: direct:production
  dependency-group: pip
- dependency-name: numpy
  dependency-version: 1.22.0
  dependency-type: direct:production
  dependency-group: pip
- dependency-name: pygments
  dependency-version: 2.20.0
  dependency-type: direct:production
  dependency-group: pip
- dependency-name: scikit-learn
  dependency-version: 1.5.0
  dependency-type: direct:production
  dependency-group: pip
- dependency-name: joblib
  dependency-version: 1.2.0
  dependency-type: direct:production
  dependency-group: pip
- dependency-name: numpy
  dependency-version: 1.22.0
  dependency-type: direct:production
  dependency-group: pip
- dependency-name: pygments
  dependency-version: 2.20.0
  dependency-type: direct:production
  dependency-group: pip
- dependency-name: scikit-learn
  dependency-version: 1.5.0
  dependency-type: direct:production
  dependency-group: pip
...

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@dependabot dependabot Bot added dependencies Pull requests that update a dependency file python Pull requests that update python code labels Sep 11, 2026
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