infra: bump the dev-dependencies group across 1 directory with 13 updates

[dependabot]

Updates the requirements on botocore, awscli, boto3, amazon-braket-pennylane-plugin, jax, jaxlib, matplotlib, mistune, pennylane, pennylane-lightning, scipy, scs and sympy to permit the latest version.
Updates botocore from 1.35.76 to 1.35.92

Commits

• 0df18e8 Merge branch 'release-1.35.92'
• 801c85f Bumping version to 1.35.92
• d0dfe26 Update endpoints model
• 5b6fcbc Update to latest models
• 2001481 Merge branch 'release-1.35.91'
• f1b5714 Merge branch 'release-1.35.91' into develop
• e2adc17 Bumping version to 1.35.91
• ed1020d Update endpoints model
• c27499a Update to latest models
• b6f01fb Merge branch 'release-1.35.90'
• Additional commits viewable in compare view

Updates awscli from 1.36.17 to 1.36.33

Commits

• da0b18b Merge branch 'release-1.36.33'
• 94acd03 Bumping version to 1.36.33
• 09357d8 Update changelog based on model updates
• 4fc50b1 Merge branch 'release-1.36.32'
• 634ce95 Merge branch 'release-1.36.32' into develop
• e964010 Bumping version to 1.36.32
• df2ce8c Update changelog based on model updates
• 254216a Merge branch 'release-1.36.31'
• bae9297 Merge branch 'release-1.36.31' into develop
• 2152afa Bumping version to 1.36.31
• Additional commits viewable in compare view

Updates boto3 from 1.35.76 to 1.35.92

Commits

• cb087bb Merge branch 'release-1.35.92'
• 78b9ada Bumping version to 1.35.92
• e02dee9 Add changelog entries from botocore
• 71f5dc6 Merge branch 'release-1.35.91'
• 521f906 Merge branch 'release-1.35.91' into develop
• 05352db Bumping version to 1.35.91
• 7d1b198 Add changelog entries from botocore
• 65d95ad Merge branch 'release-1.35.90'
• 4afe8c5 Merge branch 'release-1.35.90' into develop
• 33df750 Bumping version to 1.35.90
• Additional commits viewable in compare view

Updates amazon-braket-pennylane-plugin from 1.28.0 to 1.31.0

Release notes

Sourced from amazon-braket-pennylane-plugin's releases.

v1.31.0

Deprecations and Removals

• remove legacy opmath

v1.30.2

Bug Fixes and Other Changes

• Remove deprecated import path for QubitDevice

v1.30.1

Bug Fixes and Other Changes

• onboard onto ruff

v1.30.0

Features

• Device-specific supported observables

v1.29.0

Features

• Support SProd and CompositeOp for expval

Documentation Changes

• Fix typo in qml.var usage

Changelog

Sourced from amazon-braket-pennylane-plugin's changelog.

v1.31.0 (2024-12-03)

Deprecations and Removals

• remove legacy opmath

v1.30.2 (2024-11-18)

Bug Fixes and Other Changes

• Remove deprecated import path for QubitDevice

v1.30.1 (2024-09-19)

Bug Fixes and Other Changes

• onboard onto ruff

v1.30.0 (2024-09-11)

Features

• Device-specific supported observables

v1.29.0 (2024-09-09)

Features

• Support SProd and CompositeOp for expval

Documentation Changes

• Fix typo in qml.var usage

Commits

• f0f963a prepare release v1.31.0
• 1856182 depr: remove legacy opmath (#283)
• 7578318 infra: bump codecov/codecov-action from 4 to 5 (#282)
• bc901f9 infra: bump thehanimo/pr-title-checker from 1.4.2 to 1.4.3 (#284)
• fd67a4c update development version to v1.30.3.dev0
• 807d158 prepare release v1.30.2
• 278b2f6 fix: Remove deprecated import path for QubitDevice (#281)
• 4105263 infra: constrain autoray (#278)
• 4e23fca update development version to v1.30.2.dev0
• a795b5f prepare release v1.30.1
• Additional commits viewable in compare view

Updates jax from 0.4.29 to 0.4.38

Release notes

Sourced from jax's releases.

JAX v0.4.38

• Changes:

  • jax.tree.flatten_with_path and jax.tree.map_with_path are added as shortcuts of the corresponding tree_util functions.

• Deprecations

  • a number of APIs in the internal jax.core namespace have been deprecated. Most were no-ops, were little-used, or can be replaced by APIs of the same name in jax.extend.core; see the documentation for {mod}jax.extend for information on the compatibility guarantees of these semi-public extensions.
  • Several previously-deprecated APIs have been removed, including:
    • from jax.core: check_eqn, check_type, check_valid_jaxtype, and non_negative_dim.
    • from jax.lib.xla_bridge: xla_client and default_backend.
    • from jax.lib.xla_client: _xla and bfloat16.
    • from jax.numpy: round_.

• New Features

  • jax.export.export can be used for device-polymorphic export with shardings constructed with {func}jax.sharding.AbstractMesh. See the jax.export documentation.
  • Added jax.lax.split. This is a primitive version of jax.numpy.split, added because it yields a more compact transpose during automatic differentiation.

JAX v0.4.37

This is a patch release of jax 0.4.36. Only "jax" was released at this version.

• Bug fixes
  • Fixed a bug where jit would error if an argument was named f (#25329).
  • Fix a bug that will throw index out of range error in jax.lax.while_loop if the user registers pytree node class with different aux data for the flatten and flatten_with_path.
  • Pinned a new libtpu release (0.0.6) that fixes a compiler bug on TPU v6e.

JAX v0.4.36

• Breaking Changes

  • This release lands "stackless", an internal change to JAX's tracing machinery. We made trace dispatch purely a function of context rather than a function of both context and data. This let us delete a lot of machinery for managing data-dependent tracing: levels, sublevels, post_process_call, new_base_main, custom_bind, and so on. The change should only affect users that use JAX internals.

    If you do use JAX internals then you may need to update your code (see jax-ml/jax@c36e1f7 for clues about how to do this). There might also be version skew issues with JAX libraries that do this. If you find this change breaks your non-JAX-internals-using code then try the

... (truncated)

Changelog

Sourced from jax's changelog.

jax 0.4.38 (Dec 17, 2024)

• Changes:

  • jax.tree.flatten_with_path and jax.tree.map_with_path are added as shortcuts of the corresponding tree_util functions.

• Deprecations

  • a number of APIs in the internal jax.core namespace have been deprecated. Most were no-ops, were little-used, or can be replaced by APIs of the same name in {mod}jax.extend.core; see the documentation for {mod}jax.extend for information on the compatibility guarantees of these semi-public extensions.
  • Several previously-deprecated APIs have been removed, including:
    • from {mod}jax.core: check_eqn, check_type, check_valid_jaxtype, and non_negative_dim.
    • from {mod}jax.lib.xla_bridge: xla_client and default_backend.
    • from {mod}jax.lib.xla_client: _xla and bfloat16.
    • from {mod}jax.numpy: round_.

• New Features

  • {func}jax.export.export can be used for device-polymorphic export with shardings constructed with {func}jax.sharding.AbstractMesh. See the jax.export documentation.
  • Added {func}jax.lax.split. This is a primitive version of {func}jax.numpy.split, added because it yields a more compact transpose during automatic differentiation.

jax 0.4.37 (Dec 9, 2024)

This is a patch release of jax 0.4.36. Only "jax" was released at this version.

• Bug fixes
  • Fixed a bug where jit would error if an argument was named f (#25329).
  • Fix a bug that will throw index out of range error in {func}jax.lax.while_loop if the user register pytree node class with different aux data for the flatten and flatten_with_path.
  • Pinned a new libtpu release (0.0.6) that fixes a compiler bug on TPU v6e.

jax 0.4.36 (Dec 5, 2024)

• Breaking Changes

  • This release lands "stackless", an internal change to JAX's tracing machinery. We made trace dispatch purely a function of context rather than a function of both context and data. This let us delete a lot of machinery for managing data-dependent tracing: levels, sublevels, post_process_call, new_base_main, custom_bind, and so on. The change should only affect users that use JAX internals.

    If you do use JAX internals then you may need to update your code (see jax-ml/jax@c36e1f7

... (truncated)

Commits

• c4e3f5a Release v0.4.38
• 0fa5419 Merge pull request #25456 from jakevdp:xla-abstractify
• 7fe2579 Update XLA dependency to use revision
• 7bbba40 Merge pull request #25473 from adamjstewart:build/no-git
• 7de9eb2 Reverts 525b646c0ebd5205f4fa0639c94adb2de47e1cf0
• 4911a39 [Mosaic TPU] Add support for the interleaved pack format to tpu.unpack_subele...
• 36b12d5 [Mosaic GPU] Add end-to-end lowering example for a pointwise kernel using the...
• 2c722d9 Cleanup: toward merging core.concrete_aval & xla.abstractify
• 473e2bf Put abstract_mesh on every eqn so that we can preserve it during eval_jaxpr...
• e1f037b Reduce the max_examples for splash attention tests
• Additional commits viewable in compare view

Updates jaxlib from 0.4.29 to 0.4.38

Release notes

Sourced from jaxlib's releases.

Jaxlib release v0.4.32

WARNING: This release has been yanked from PyPI because of a data corruption bug on TPU if there are multiple TPU slices in the job

Jaxlib release v0.4.31

No release notes provided.

Jaxlib release v0.4.30

No release notes provided.

Changelog

Sourced from jaxlib's changelog.

jax 0.4.38 (Dec 17, 2024)

• Changes:

  • jax.tree.flatten_with_path and jax.tree.map_with_path are added as shortcuts of the corresponding tree_util functions.

• Deprecations

  • a number of APIs in the internal jax.core namespace have been deprecated. Most were no-ops, were little-used, or can be replaced by APIs of the same name in {mod}jax.extend.core; see the documentation for {mod}jax.extend for information on the compatibility guarantees of these semi-public extensions.
  • Several previously-deprecated APIs have been removed, including:
    • from {mod}jax.core: check_eqn, check_type, check_valid_jaxtype, and non_negative_dim.
    • from {mod}jax.lib.xla_bridge: xla_client and default_backend.
    • from {mod}jax.lib.xla_client: _xla and bfloat16.
    • from {mod}jax.numpy: round_.

• New Features

  • {func}jax.export.export can be used for device-polymorphic export with shardings constructed with {func}jax.sharding.AbstractMesh. See the jax.export documentation.
  • Added {func}jax.lax.split. This is a primitive version of {func}jax.numpy.split, added because it yields a more compact transpose during automatic differentiation.

jax 0.4.37 (Dec 9, 2024)

This is a patch release of jax 0.4.36. Only "jax" was released at this version.

• Bug fixes
  • Fixed a bug where jit would error if an argument was named f (#25329).
  • Fix a bug that will throw index out of range error in {func}jax.lax.while_loop if the user register pytree node class with different aux data for the flatten and flatten_with_path.
  • Pinned a new libtpu release (0.0.6) that fixes a compiler bug on TPU v6e.

jax 0.4.36 (Dec 5, 2024)

• Breaking Changes

  • This release lands "stackless", an internal change to JAX's tracing machinery. We made trace dispatch purely a function of context rather than a function of both context and data. This let us delete a lot of machinery for managing data-dependent tracing: levels, sublevels, post_process_call, new_base_main, custom_bind, and so on. The change should only affect users that use JAX internals.

    If you do use JAX internals then you may need to update your code (see jax-ml/jax@c36e1f7

... (truncated)

Commits

• c4e3f5a Release v0.4.38
• 0fa5419 Merge pull request #25456 from jakevdp:xla-abstractify
• 7fe2579 Update XLA dependency to use revision
• 7bbba40 Merge pull request #25473 from adamjstewart:build/no-git
• 7de9eb2 Reverts 525b646c0ebd5205f4fa0639c94adb2de47e1cf0
• 4911a39 [Mosaic TPU] Add support for the interleaved pack format to tpu.unpack_subele...
• 36b12d5 [Mosaic GPU] Add end-to-end lowering example for a pointwise kernel using the...
• 2c722d9 Cleanup: toward merging core.concrete_aval & xla.abstractify
• 473e2bf Put abstract_mesh on every eqn so that we can preserve it during eval_jaxpr...
• e1f037b Reduce the max_examples for splash attention tests
• Additional commits viewable in compare view

Updates matplotlib from 3.9.3 to 3.10.0

Release notes

Sourced from matplotlib's releases.

REL: v3.10.0

Highlights of this release include:

- Preliminary support for free-threaded CPython 3.13
- New more-accessible color cycle
- Dark-mode diverging colormaps
- Exception handling control
- InsetIndicator artist
- FillBetweenPolyCollection
- Fill between 3D lines
- Data in 3D plots can now be dynamically clipped to the axes view limits
- Rotating 3d plots with the mouse
- Increased Figure limits with Agg renderer
- Subfigures no longer provisional
- Subfigures are now added in row-major order

Matplotlib v3.10.0rc1

This is the first release candidate for Matplotlib 3.10.0

REL: 3.9.4

This is the fourth bugfix release of the 3.9.x series.

This release contains two bug-fixes:

• Fix toolbar icons in GTK backend
• Fix Poly3DCollection initialization with list of lists

Commits

• 8d64f03 REL: v3.10.0 release
• d9dfee8 [doc] Fix dead links
• 87a603f Update release notes for 3.10.0
• cdecf97 Update github stats for 3.10
• b8d19bd Merge pull request #29306 from meeseeksmachine/auto-backport-of-pr-29242-on-v...
• a42d0ed Backport PR #29242: DOC: Add kwdoc list to scatter() docstring
• 1900640 Merge pull request #29299 from QuLogic/merge-v39x
• 815389c Merge branch 'v3.9.x' into v3.10.x
• 73873c0 DOC: Create release notes for 3.9.4
• 9d17a2b DOC: Add Zenodo DOI for 3.9.4
• Additional commits viewable in compare view

Updates mistune from 3.0.2 to 3.1.0

Release notes

Sourced from mistune's releases.

v3.1.0

   🐞 Bug Fixes

• Add typing-extensions into dependencies  -  by @​lepture (93fd1)
• Cleanup unused imports  -  by @​lepture (6d046)
• Make typing-extension optional dependency  -  by @​lepture (f7db5)
• Importing Self from typing_extensions  -  by @​lepture (0772c)
• Only HTML-escape codespan in HTML render  -  by @​mentalisttraceur (245c0)
• Only HTML-escape URLs when rendering to HTML  -  by @​mentalisttraceur (f4237)
• Use correct importing for typing_extensions  -  by @​lepture (4f91d)

    View changes on GitHub

Changelog

Sourced from mistune's changelog.

Version 3.1.0

Released on Dec 30, 2024

• Fix only HTML-escape URLs when rendering to HTML
• Add block_quote prefix on empty lines too

Commits

• 177a0ce chore: release 3.1.0
• bf54ef6 Merge pull request #390 from patrick91/patch-1
• 498f0e8 Merge pull request #395 from mentalisttraceur/fix-url-ampersand
• 77f925e Merge pull request #393 from mentalisttraceur/fix-codespan-ampersand
• 4f91db8 fix: use correct importing for typing_extensions
• f423704 fix: only HTML-escape URLs when rendering to HTML
• 245c006 fix: only HTML-escape codespan in HTML render
• 0772c78 fix: importing Self from typing_extensions
• f7db503 fix: make typing-extension optional dependency
• 6d04695 fix: cleanup unused imports
• Additional commits viewable in compare view

Updates pennylane from 0.35.1 to 0.39.0

Release notes

Sourced from pennylane's releases.

Release 0.39.0

• Functionality for creating custom Hamiltonians on arbitrary lattices has been added. [(#6226)](PennyLaneAI/pennylane#6226) [(#6237)](PennyLaneAI/pennylane#6237)

  Hamiltonians beyond the available boiler-plate ones in the qml.spin module can be created with the addition of three new functions:

  • qml.spin.Lattice: a new object for instantiating customized lattices via primitive translation vectors and unit cell parameters,
  • qml.spin.generate_lattice: a utility function for creating standard Lattice objects, including 'chain', 'square', 'rectangle', 'triangle', 'honeycomb', 'kagome', 'lieb', 'cubic', 'bcc', 'fcc', and 'diamond',
  • qml.spin.spin_hamiltonian: generates a spin Hamiltonian object given a Lattice object with custom edges/nodes.

  An example is shown below for a $3 \times 3$ triangular lattice with open boundary conditions.

  lattice = qml.spin.Lattice(
      n_cells=[3, 3],
      vectors=[[1, 0], [np.cos(np.pi/3), np.sin(np.pi/3)]],
      positions=[[0, 0]],
      boundary_condition=False
  )

  We can validate this lattice against qml.spin.generate_lattice('triangle', ...) by checking the lattice_points (the $(x, y)$ coordinates of all sites in the lattice):

  >>> lp = lattice.lattice_points
  >>> triangular_lattice = qml.spin.generate_lattice('triangle', n_cells=[3, 3])
  >>> np.allclose(lp, triangular_lattice.lattice_points)
  True

  The edges of the Lattice object are nearest-neighbour by default, where we can add edges by using its add_edge method.

  Optionally, a Lattice object can have interactions and fields endowed to it by specifying values for its custom_edges and custom_nodes keyword arguments. The Hamiltonian can then be extracted with the qml.spin.spin_hamiltonian function. An example is shown below for the transverse-field Ising model Hamiltonian on a $3 \times 3$ triangular lattice. Note that the custom_edges and custom_nodes keyword arguments only need to be defined for one unit cell repetition.

  edges = [
      (0, 1), (0, 3), (1, 3)
  ]
  lattice = qml.spin.Lattice(
  n_cells=[3, 3],
  vectors=[[1, 0], [np.cos(np.pi/3), np.sin(np.pi/3)]],
  positions=[[0, 0]],
  boundary_condition=False,
  custom_edges=[[edge, ("ZZ", -1.0)] for edge in edges],
  custom_nodes=[[i, ("X", -0.5)] for i in range(3*3)],
  )

... (truncated)

Commits

• 51797f7 Bump minimum Lightning and Catalyst versions (#6512)
• 72bdaa2 Small fixes (#6513)
• 6890211 Update typing_extensions pinning in requirements.txt (#6508)
• 32e1d90 Update Iterable import package in decompose transform (#6507)
• fb3892f Final documentation fixes for 0.39 feature freeze (#6469)
• cf0cbe2 update neighbour_order error in Lattice (#6497)
• 3ac1957 Revert "Adding string representation for some operators" (#6501)
• b851ce3 Fix bug where unexpected queuing occurs in qml.ctrl among other functions (#6...
• cd9fac9 Adding string representation for some operators (#6493)
• d5d3c2b Fix snapshot wire order when simulation indices different than device wires (...
• Additional commits viewable in compare view

Updates pennylane-lightning from 0.35.1 to 0.39.0

Release notes

Sourced from pennylane-lightning's releases.

Release 0.39.0

New features since last release

• Add support for out-of-order qml.probs in lightning.gpu. [(#941)](PennyLaneAI/pennylane-lightning#941)

• Add mid-circuit measurements support to lightning.gpu's single-GPU backend. [(#931)](PennyLaneAI/pennylane-lightning#931)

• Integrate Lightning-GPU with Catalyst so that hybrid programs can be seamlessly QJIT-compiled and executed on this device following pip install pennylane-lightning-gpu. [(#928)](PennyLaneAI/pennylane-lightning#928)

• Add qml.Projector observable support via diagonalization to Lightning-GPU. [(#894)](PennyLaneAI/pennylane-lightning#894)

• Add 1-target wire controlled gate support to lightning.tensor. Note that cutensornet only supports 1-target wire controlled gate as of v24.08. A controlled gate with more than 1 target wire should be converted to dense matrix. [(#880)](PennyLaneAI/pennylane-lightning#880)

• Build and upload Lightning-Tensor wheels (x86_64, AARCH64) to PyPI. [(#862)](PennyLaneAI/pennylane-lightning#862) [(#905)](PennyLaneAI/pennylane-lightning#905)

• Add Matrix Product Operator (MPO) for all gates support to lightning.tensor. Note current C++ implementation only works for MPO sites data provided by users. [(#859)](PennyLaneAI/pennylane-lightning#859)

• Add shots measurement support to lightning.tensor. [(#852)](PennyLaneAI/pennylane-lightning#852)

• Lightning-GPU and Lightning-Kokkos migrated to the new device API. [(#853)](PennyLaneAI/pennylane-lightning#853) [(#810)](PennyLaneAI/pennylane-lightning#810)

Breaking changes

• Update MacOS wheel build to 13.0 for X86_64 and ARM due to the deprecation of MacOS-12 CI runners. [(#969)](PennyLaneAI/pennylane-lightning#969)

• Deprecate initSV() and add resetStateVector() from the C++ API Lightning-GPU. This is to remove the reset_state additional call in the Python layer. [(#933)](PennyLaneAI/pennylane-lightning#933)

• Deprecate PI gates implementation in Lightning-Qubit. The PI gates were the first implementation of gate kernels in lightning.qubit using pre-computed indices, prior to the development of LM (less memory) and AVX kernels. This deprecation is in favour of reducing compilation time and ensuring that Lightning-Qubit only relies on LM kernels in the dynamic dispatcher across all platforms. [(#925)](PennyLaneAI/pennylane-lightning#925)

• Remove PowerPC wheel build recipe for Lightning-Qubit. [(#902)](PennyLaneAI/pennylane-lightning#902)

• Update MacOS wheel builds to require Monterey (12.0) or greater for x86_64 and ARM. This was required to update Pybind11 to the latest release (2.13.5) for enabling Numpy 2.0 support in Lightning. [(#901)](PennyLaneAI/pennylane-lightning#901)

• Remove support for Python 3.9 for all Lightning simulators. [(#891)](PennyLaneAI/pennylane-lightning#891)

Improvements

• Update the lightning.tensor Python layer unit tests, as lightning.tensor cannot be cleaned up like other state-vector devices because the data is attached to the graph. It is recommended to use one device per circuit for lightning.tensor. [(#971)](PennyLaneAI/pennylane-lightning#971)

• Add joint check for the N-controlled wires support in lightning.qubit. [(#949)](PennyLaneAI/pennylane-lightning#949)

• Optimize GlobalPhase and C(GlobalPhase) gate implementation in lightning.gpu. [(#946)](PennyLaneAI/pennylane-lightning#946)

• Add missing liblightning_kokkos_catalyst.so when building Lightning-Kokkos in editable installation. [(#945)](PennyLaneAI/pennylane-lightning#945)

• Optimize the cartesian product to reduce the amount of memory necessary to set the StatePrep in Lightning-Tensor. [(#943)](PennyLaneAI/pennylane-lightning#943)

• Update the qml.probs data-return in Lightning-GPU C++ API to align with other state-vector devices. [(#941)](PennyLaneAI/pennylane-lightning#941)

• Add zero-state initialization to both StateVectorCudaManaged and StateVectorCudaMPI constructors to remove the reset_state in the Python layer ctor and refactor setBasisState(state, wires) in the C++ API. [(#933)](PennyLaneAI/pennylane-lightning#933)

... (truncated)

Commits

• dcea959 Forked as v0.39.0_release to be released with tag v0.39.0.
• cf828ac Lightning Kokkos arg test fix for MacOS (#974)
• 06043d8 add changelog entry for the macos-12 deprecation
• 84dd86a update macos-12 wheel labels
• c6d5a28 test macos14.0
• 956b2bd update to rc3
• d5e064d macos target from 12.0 to 13.0
• 3bb6d5f update rc version
• 181a246 Update Lightning-Tensor install docs (#972)
• b830cee update docs
• Additional commits viewable in compare view

Updates scipy from 1.13.1 to 1.15.0

Release notes

Sourced from scipy's releases.

SciPy 1.15.0 Release Notes

SciPy 1.15.0 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 1.15.x branch, and on adding new features on the main branch.

This release requires Python 3.10-3.13 and NumPy 1.23.5 or greater.

Highlights of this release

• Sparse arrays are now fully functional for 1-D and 2-D arrays. We recommend that all new code use sparse arrays instead of sparse matrices and that developers start to migrate their existing code from sparse matrix to sparse array: migration_to_sparray. Both sparse.linalg and sparse.csgraph work with either sparse matrix or sparse array and work internally with sparse array.

• Sparse arrays now provide basic support for n-D arrays in the COO format including add, subtract, reshape, transpose, matmul, dot, tensordot and others. More functionality is coming in future releases.

• Preliminary support for free-threaded Python 3.13.

• New probability distribution features in scipy.stats can be used to improve the speed and accuracy of existing continuous distributions and perform new probability calculations.

• Several new features support vectorized calculations with Python Array API Standard compatible input (see "Array API Standard Support" below):

  • scipy.differentiate is a new top-level submodule for accurate estimation of derivatives of black box functions.
  • scipy.optimize.elementwise contains new functions for root-finding and minimization of univariate functions.
  • scipy.integrate offers new functions cubature, tanhsinh, and nsum for multivariate integration, univariate integration, and univariate series summation, respectively.

• scipy.interpolate.AAA adds the AAA algorithm for barycentric rational approximation of real or complex functions.

• scipy.special adds new functions offering improved Legendre function implementations with a more consistent interface.

... (truncated)

Commits

• 6e246d0 REL: 1.15.0 "final" rel commit [wheel build]
• ed7c850 Merge pull request #22233 from tylerjereddy/treddy_backports_1.15.0_final
• 2e2f2cd MAINT: PR 22233 wheel build [wheel build]
• f05c622 DOC: Update 1.15.0 relnotes
• 7348d92 Update scipy/differentiate/_differentiate.py
• 56b1f7e DOC: differentiate.jacobian: correct/improve documentation about callable int...
• 30077e7 DEP: linalg.solve_toeplitz/matmul_toeplitz: warn on n-D c, r (#22193)
• 256c1a2 Merge pull request #22181 from tylerjereddy/treddy_prep_scipy_1.15.0rc3
• f046276 REL: set 1.15.0rc3 unreleased
• a3d40a8 REL: 1.15.0rc2 rel commit [wheel build]
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Updates scs to 3.2.7.post2

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Updates sympy to 1.13.3

Commits

• b4ce69a Merge pull request #27081 from oscarbenjamin/pr_113_backport_fixes
• 575dbfa author: update AUTHORS file
• 408b571 author: add Matt Wang to .mailmap
• 77fffbf remove unnecessary parentheses in func role from docstring
• 2101e6d remove unnecessary parentheses in func role from doc
• 09f4810 maint(ci): don't use ruff to check files outside sympy
• 31623f0 release: bump version to 1.13.3
• 766458c fix(quantum): sympify inputs to clebsch_gordan
• e34f10e test(stats): fix Markov tests for empty matrices
• 6db23e6 fix(matrices): Matrix([[], []]) -> Matrix(2, 0, [])
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Looks like these dependencies are updatable in another way, so this is no longer needed.