infra: bump the dev-dependencies group across 1 directory with 18 updates

[dependabot]

Updates the requirements on botocore, awscli, boto3, amazon-braket-pennylane-plugin, amazon-braket-sdk, jax, jaxlib, markupsafe, ml-dtypes, optax, pandas, pennylane, pennylane-lightning, qiskit-aer, qiskit-algorithms, scipy, scs and sympy to permit the latest version.
Updates botocore from 1.35.0 to 1.35.49

Commits

• ab80bd8 Merge branch 'release-1.35.49'
• eb59be0 Bumping version to 1.35.49
• 5f52ac7 Update endpoints model
• 35dc5f7 Update to latest models
• c5e0332 Merge branch 'release-1.35.48'
• 5b0abc4 Merge branch 'release-1.35.48' into develop
• 3bcd181 Bumping version to 1.35.48
• b901d63 Update endpoints model
• aee648a Update to latest models
• f51ec0e Merge pull request #3280 from jonathan343/nimble-deprecation
• Additional commits viewable in compare view

Updates awscli from 1.34.0 to 1.35.15

Commits

• 7cba924 Merge branch 'release-1.35.15'
• 046c636 Bumping version to 1.35.15
• 133d243 Update changelog based on model updates
• 87f8356 Merge branch 'release-1.35.14'
• d535730 Merge branch 'release-1.35.14' into develop
• 70fcd02 Bumping version to 1.35.14
• 181dfe7 Update changelog based on model updates
• 159b38e Improve performance when parsing invalid shorthand syntax (#8999)
• 17eadaa Remove nimble examples following the deprecation of the service. (#8981)
• 734d259 Merge branch 'release-1.35.13'
• Additional commits viewable in compare view

Updates boto3 from 1.35.0 to 1.35.49

Commits

• d39929b Merge branch 'release-1.35.49'
• bb191f2 Bumping version to 1.35.49
• e3ad6b5 Add changelog entries from botocore
• f09e886 Merge branch 'release-1.35.48'
• 83074ae Merge branch 'release-1.35.48' into develop
• 1a09a31 Bumping version to 1.35.48
• 8909aad Add changelog entries from botocore
• 02e0a38 Merge branch 'release-1.35.47'
• a0011b8 Merge branch 'release-1.35.47' into develop
• 2e3f5f1 Bumping version to 1.35.47
• Additional commits viewable in compare view

Updates amazon-braket-pennylane-plugin from 1.28.0 to 1.30.1

Release notes

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

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.

v1.30.1 (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

• a795b5f prepare release v1.30.1
• 3f88ff3 fix: onboard onto ruff (#277)
• 8ff880b update development version to v1.30.1.dev0
• 3a16423 prepare release v1.30.0
• 4bb65ce feat: Device-specific supported observables (#276)
• 7038db2 update development version to v1.29.1.dev0
• 2bccb78 prepare release v1.29.0
• 7ee7bee infra: bump thehanimo/pr-title-checker from 1.4.1 to 1.4.2 (#271)
• 715f589 doc: Fix typo in qml.var usage (#261)
• df838cb feat: Support SProd and CompositeOp for expval (#275)
• Additional commits viewable in compare view

Updates amazon-braket-sdk from 1.88.0 to 1.88.1

Release notes

Sourced from amazon-braket-sdk's releases.

v1.88.1

Bug Fixes and Other Changes

• correct typing for task results methods

Changelog

Sourced from amazon-braket-sdk's changelog.

v1.88.1 (2024-10-21)

Bug Fixes and Other Changes

• correct typing for task results methods

Commits

• 447c87d prepare release v1.88.1
• cc3698c fix: correct typing for task results methods (#1039)
• 36e32f6 infra: bump pypa/gh-action-pypi-publish from 1.9.0 to 1.10.0 (#1027)
• 5534034 infra: remove doc dependencies from the test list and add to their ow… (#1037)
• 43d0c7e update development version to v1.88.1.dev0
• See full diff in compare view

Updates jax from 0.4.29 to 0.4.35

Release notes

Sourced from jax's releases.

JAX v0.4.35

• Breaking Changes

  • jax.numpy.isscalar now returns True for any array-like object with zero dimensions. Previously it only returned True for zero-dimensional array-like objects with a weak dtype.
  • jax.experimental.host_callback has been deprecated since March 2024, with JAX version 0.4.26. Now we removed it. See [#20385](https://github.com/jax-ml/jax/issues/20385) for a discussion of alternatives.

• Changes:

  • jax.lax.FftType was introduced as a public name for the enum of FFT operations. The semi-public API jax.lib.xla_client.FftType has been deprecated.
  • TPU: JAX now installs TPU support from the libtpu package rather than libtpu-nightly. For the next few releases JAX will pin an empty version of libtpu-nightly as well as libtpu to ease the transition; that dependency will be removed in Q1 2025.

• Deprecations:

  • The semi-public API jax.lib.xla_client.PaddingType has been deprecated. No JAX APIs consume this type, so there is no replacement.
  • The default behavior of jax.pure_callback and jax.extend.ffi.ffi_call under vmap has been deprecated and so has the vectorized parameter to those functions. The vmap_method parameter should be used instead for better defined behavior. See the discussion in [#23881](https://github.com/jax-ml/jax/issues/23881) for more details.
  • The semi-public API jax.lib.xla_client.register_custom_call_target has been deprecated. Use the JAX FFI instead.
  • The semi-public APIs jax.lib.xla_client.dtype_to_etype, jax.lib.xla_client.ops, jax.lib.xla_client.shape_from_pyval, jax.lib.xla_client.PrimitiveType, jax.lib.xla_client.Shape, jax.lib.xla_client.XlaBuilder, and jax.lib.xla_client.XlaComputation have been deprecated. Use StableHLO instead.

JAX v0.4.34

• New Functionality

  • This release includes wheels for Python 3.13. Free-threading mode is not yet supported.
  • jax.errors.JaxRuntimeError has been added as a public alias for the formerly private XlaRuntimeError type.

• Breaking changes

  • jax_pmap_no_rank_reduction flag is set to True by default.
    • array[0] on a pmap result now introduces a reshape (use array[0:1] instead).
    • The per-shard shape (accessable via jax_array.addressable_shards or jax_array.addressable_data(0)) now has a leading (1, ...). Update code that directly accesses shards accordingly. The rank of the per-shard-shape now matches that of the global shape which is the same behavior as jit.

... (truncated)

Changelog

Sourced from jax's changelog.

jax 0.4.35 (Oct 22, 2024)

• Breaking Changes

  • {func}jax.numpy.isscalar now returns True for any array-like object with zero dimensions. Previously it only returned True for zero-dimensional array-like objects with a weak dtype.
  • jax.experimental.host_callback has been deprecated since March 2024, with JAX version 0.4.26. Now we removed it. See {jax-issue}[#20385](https://github.com/jax-ml/jax/issues/20385) for a discussion of alternatives.

• Changes:

  • jax.lax.FftType was introduced as a public name for the enum of FFT operations. The semi-public API jax.lib.xla_client.FftType has been deprecated.
  • TPU: JAX now installs TPU support from the libtpu package rather than libtpu-nightly. For the next few releases JAX will pin an empty version of libtpu-nightly as well as libtpu to ease the transition; that dependency will be removed in Q1 2025.

• Deprecations:

  • The semi-public API jax.lib.xla_client.PaddingType has been deprecated. No JAX APIs consume this type, so there is no replacement.
  • The default behavior of {func}jax.pure_callback and {func}jax.extend.ffi.ffi_call under vmap has been deprecated and so has the vectorized parameter to those functions. The vmap_method parameter should be used instead for better defined behavior. See the discussion in {jax-issue}[#23881](https://github.com/jax-ml/jax/issues/23881) for more details.
  • The semi-public API jax.lib.xla_client.register_custom_call_target has been deprecated. Use the JAX FFI instead.
  • The semi-public APIs jax.lib.xla_client.dtype_to_etype, jax.lib.xla_client.ops, jax.lib.xla_client.shape_from_pyval, jax.lib.xla_client.PrimitiveType, jax.lib.xla_client.Shape, jax.lib.xla_client.XlaBuilder, and jax.lib.xla_client.XlaComputation have been deprecated. Use StableHLO instead.

jax 0.4.34 (October 4, 2024)

• New Functionality

  • This release includes wheels for Python 3.13. Free-threading mode is not yet supported.
  • jax.errors.JaxRuntimeError has been added as a public alias for the formerly private XlaRuntimeError type.

• Breaking changes

  • jax_pmap_no_rank_reduction flag is set to True by default.
    • array[0] on a pmap result now introduces a reshape (use array[0:1] instead).
    • The per-shard shape (accessable via jax_array.addressable_shards or jax_array.addressable_data(0)) now has a leading (1, ...). Update code

... (truncated)

Commits

• 81991d8 JAX release 0.4.35
• e4f3f8f Use libtpu releases rather than libtpu-nightly for jax[tpu].
• 1c6b0a9 Merge pull request #24465 from jakevdp:fix-mypy
• 9a2dd19 Merge pull request #21524 from andportnoy:aportnoy/unknown-platform-lowering-...
• 1e41d5e Merge pull request #24452 from jakevdp:insert-doc
• 1a2737b Merge pull request #24467 from andportnoy:patch-2
• 8498502 fix mypy error
• 92aa9a3 Merge pull request #24463 from jakevdp:ml-dtypes-version
• c60bafc [Pallas TPU] Fix lowering for jnp.remainder
• 6378984 Add back the import of jtu in flash_attention.py
• Additional commits viewable in compare view

Updates jaxlib from 0.4.29 to 0.4.35

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 0.4.35 (Oct 22, 2024)

• Breaking Changes

  • {func}jax.numpy.isscalar now returns True for any array-like object with zero dimensions. Previously it only returned True for zero-dimensional array-like objects with a weak dtype.
  • jax.experimental.host_callback has been deprecated since March 2024, with JAX version 0.4.26. Now we removed it. See {jax-issue}[#20385](https://github.com/jax-ml/jax/issues/20385) for a discussion of alternatives.

• Changes:

  • jax.lax.FftType was introduced as a public name for the enum of FFT operations. The semi-public API jax.lib.xla_client.FftType has been deprecated.
  • TPU: JAX now installs TPU support from the libtpu package rather than libtpu-nightly. For the next few releases JAX will pin an empty version of libtpu-nightly as well as libtpu to ease the transition; that dependency will be removed in Q1 2025.

• Deprecations:

  • The semi-public API jax.lib.xla_client.PaddingType has been deprecated. No JAX APIs consume this type, so there is no replacement.
  • The default behavior of {func}jax.pure_callback and {func}jax.extend.ffi.ffi_call under vmap has been deprecated and so has the vectorized parameter to those functions. The vmap_method parameter should be used instead for better defined behavior. See the discussion in {jax-issue}[#23881](https://github.com/jax-ml/jax/issues/23881) for more details.
  • The semi-public API jax.lib.xla_client.register_custom_call_target has been deprecated. Use the JAX FFI instead.
  • The semi-public APIs jax.lib.xla_client.dtype_to_etype, jax.lib.xla_client.ops, jax.lib.xla_client.shape_from_pyval, jax.lib.xla_client.PrimitiveType, jax.lib.xla_client.Shape, jax.lib.xla_client.XlaBuilder, and jax.lib.xla_client.XlaComputation have been deprecated. Use StableHLO instead.

jax 0.4.34 (October 4, 2024)

• New Functionality

  • This release includes wheels for Python 3.13. Free-threading mode is not yet supported.
  • jax.errors.JaxRuntimeError has been added as a public alias for the formerly private XlaRuntimeError type.

• Breaking changes

  • jax_pmap_no_rank_reduction flag is set to True by default.
    • array[0] on a pmap result now introduces a reshape (use array[0:1] instead).
    • The per-shard shape (accessable via jax_array.addressable_shards or jax_array.addressable_data(0)) now has a leading (1, ...). Update code

... (truncated)

Commits

• 81991d8 JAX release 0.4.35
• e4f3f8f Use libtpu releases rather than libtpu-nightly for jax[tpu].
• 1c6b0a9 Merge pull request #24465 from jakevdp:fix-mypy
• 9a2dd19 Merge pull request #21524 from andportnoy:aportnoy/unknown-platform-lowering-...
• 1e41d5e Merge pull request #24452 from jakevdp:insert-doc
• 1a2737b Merge pull request #24467 from andportnoy:patch-2
• 8498502 fix mypy error
• 92aa9a3 Merge pull request #24463 from jakevdp:ml-dtypes-version
• c60bafc [Pallas TPU] Fix lowering for jnp.remainder
• 6378984 Add back the import of jtu in flash_attention.py
• Additional commits viewable in compare view

Updates markupsafe from 2.1.5 to 3.0.2

Release notes

Sourced from markupsafe's releases.

3.0.2

This is the MarkupSafe 3.0.2 fix release, which fixes bugs but does not otherwise change behavior and should not result in breaking changes.

PyPI: https://pypi.org/project/MarkupSafe/3.0.2/ Changes: https://markupsafe.palletsprojects.com/en/stable/changes/#version-3-0-2 Milestone: https://github.com/pallets/markupsafe/milestone/14?closed=1

• Fix compatibility when __str__ returns a str subclass. #472
• Build requires setuptools >= 70.1. #475

3.0.1

This is the MarkupSafe 3.0.1 fix release, which fixes bugs but does not otherwise change behavior and should not result in breaking changes.

PyPI: https://pypi.org/project/MarkupSafe/3.0.1/ Changes: https://markupsafe.palletsprojects.com/en/stable/changes/#version-3-0-1 Milestone: https://github.com/pallets/markupsafe/milestone/13?closed=1

• Address compiler warnings that became errors in GCC 14. #466
• Fix compatibility with proxy objects. #467

3.0.0

This is the MarkupSafe 3.0.0 feature release. A feature release may include new features, remove previously deprecated code, add new deprecations, or introduce potentially breaking changes. The 3.0.x branch is now the supported fix branch, the 2.1.x branch will become a tag marking the end of support for that branch. We encourage everyone to upgrade, and to use a tool such as pip-tools to pin all dependencies and control upgrades. Test with warnings treated as errors to be able to adapt to deprecation warnings early.

PyPI: https://pypi.org/project/MarkupSafe/3.0.0/ Changes: https://markupsafe.palletsprojects.com/en/stable/changes/#version-3-0-0 Milestone: https://github.com/pallets/markupsafe/milestone/10?closed=1

• Support Python 3.13 and its experimental free-threaded build. #461
• Drop support for Python 3.7 and 3.8.
• Use modern packaging metadata with pyproject.toml instead of setup.cfg. #348
• Change distutils imports to setuptools. #399
• Use deferred evaluation of annotations. #400
• Update signatures for Markup methods to match str signatures. Use positional-only arguments. #400
• Some str methods on Markup no longer escape their argument: strip, lstrip, rstrip, removeprefix, removesuffix, partition, and rpartition; replace only escapes its new argument. These methods are conceptually linked to search methods such as in, find, and index, which already do not escape their argument. #401
• The __version__ attribute is deprecated. Use feature detection, or importlib.metadata.version("markupsafe"), instead. #402
• Speed up escaping plain strings by 40%. #434
• Simplify speedups implementation. #437

Changelog

Sourced from markupsafe's changelog.

Version 3.0.2

Released 2024-10-18

• Fix compatibility when __str__ returns a str subclass. :issue:472
• Build requires setuptools >= 70.1. :issue:475

Version 3.0.1

Released 2024-10-08

• Address compiler warnings that became errors in GCC 14. :issue:466
• Fix compatibility with proxy objects. :issue:467

Version 3.0.0

Released 2024-10-07

• Support Python 3.13 and its experimental free-threaded build. :pr:461
• Drop support for Python 3.7 and 3.8.
• Use modern packaging metadata with pyproject.toml instead of setup.cfg. :pr:348
• Change distutils imports to setuptools. :pr:399
• Use deferred evaluation of annotations. :pr:400
• Update signatures for Markup methods to match str signatures. Use positional-only arguments. :pr:400
• Some str methods on Markup no longer escape their argument: strip, lstrip, rstrip, removeprefix, removesuffix, partition, and rpartition; replace only escapes its new argument. These methods are conceptually linked to search methods such as in, find, and index, which already do not escape their argument. :issue:401
• The __version__ attribute is deprecated. Use feature detection, or importlib.metadata.version("markupsafe"), instead. :pr:402
• Speed up escaping plain strings by 40%. :pr:434
• Simplify speedups implementation. :pr:437

Commits

• 28ace20 release version 3.0.2
• 6b51fd8 build requires at least setuptools 70.1 (#478)
• 99dda9f build requires at least setuptools 70.1
• 3d8fd8c fix version
• 1933c4b fix version
• e85aff4 relax speedups str check (#477)
• 8cb1691 relax speedups str check
• 4dafb7c start version 3.1.0
• 9c44ecf update docs build
• 275c769 Merge branch '2.1.x' into 3.0.x
• Additional commits viewable in compare view

Updates ml-dtypes from 0.4.0 to 0.5.0

Release notes

Sourced from ml-dtypes's releases.

v0.5.0 release

• Added new 8-bit float types following IEEE 754 convention: ml_dtypes.float8_e4m3, ml_dtypes.float8_e3m4
• Added the 8-bit floating point type ml_dtypes.float8_e8m0fnu, which is the OpenCompute MX scale format.
• Added new 4-bit and 6-bit float types: ml_dtypes.float4_e2m1fn, ml_dtypes.float6_e2m3fn and ml_dtypes.float6_e3m2fn.
• Fix outputs of float divmod and floor_divide when denominator is zero.

v0.4.1 release

• Updates build requirements to use NumPy 2.0 release

Changelog

Sourced from ml-dtypes's changelog.

[0.5.0] - 2024-09-13

• Added new 8-bit float types following IEEE 754 convention: ml_dtypes.float8_e4m3, ml_dtypes.float8_e3m4
• Added the 8-bit floating point type ml_dtypes.float8_e8m0fnu, which is the OpenCompute MX scale format.
• Added new 4-bit and 6-bit float types: ml_dtypes.float4_e2m1fn, ml_dtypes.float6_e2m3fn and ml_dtypes.float6_e3m2fn.
• Fix outputs of float divmod and floor_divide when denominator is zero.

[0.4.1] - 2024-09-13

• Updates build requirements to use NumPy 2.0 release

Commits

• f802a63 Merge pull request #194 from jakevdp:v5-update
• 6692e56 Bump version to 0.5.0 for release
• 7fab9cd Merge pull request #191 from jakevdp:no-multithread
• abe1d89 Temporarily disable free-threading build & multithread tests
• b39b73c Merge pull request #187 from jakevdp:test-fix
• 74daa1a tests: ignore one more error
• 4893435 Merge pull request #186 from jakevdp:fix-tests
• 517573a Tests: ignore several NaN warnings for new dtypes
• d581b6f Merge pull request #166 from graphcore-research:add-e8m0-datatype
• b6d3659 Add float8_e8m0_fnu (E8M0) OCP MX scale format
• Additional commits viewable in compare view

Updates optax from 0.2.2 to 0.2.3

Release notes

Sourced from optax's releases.

Optax 0.2.3

What's Changed

• Fix the KeyboardInterrupt exception from google-deepmind/optax#860 by removing the timeout by @​copybara-service in google-deepmind/optax#886
• Beginning of 0.2.3 development by @​copybara-service in google-deepmind/optax#893
• Add a mathematical description of AdamW by @​gbruno16 in google-deepmind/optax#894
• Suppress not-callable pylint error for now since is being flagged erroneously all over the place. by @​copybara-service in google-deepmind/optax#908
• Fix doc link by @​yixiaoer in google-deepmind/optax#903
• Fixed pseudocode for Nesterov in description of SGD. by @​satyenkale in google-deepmind/optax#901
• Fix softmax_cross_entropy to handle -inf logits correctly when corresponding label is 0. by @​carlosgmartin in google-deepmind/optax#898
• Upstream sparsemax jaxopt loss to optax. by @​copybara-service in google-deepmind/optax#899
• Reorganize tree_utils. by @​copybara-service in google-deepmind/optax#914
• Revert of #898. by @​copybara-service in google-deepmind/optax#915
• Fix jax.tree_map deprecation warnings. by @​copybara-service in google-deepmind/optax#917
• Correct handling of -inf in softmax_cross_entropy. Fix #898. by @​copybara-service in google-deepmind/optax#916
• Added mathematical documentation to AdaMax by @​hmludwig in google-deepmind/optax#918
• Fix pip install command for doc dependencies. by @​mblondel in google-deepmind/optax#922
• Start documentation for projections. by @​mblondel in google-deepmind/optax#921
• Add projection_simplex. by @​copybara-service in google-deepmind/optax#919
• Move gradient transformations to optax.transforms sub-package - 1/N by @​copybara-service in google-deepmind/optax#923
• Added a NTXent loss by @​GrantMcConachie in google-deepmind/optax#897
• fix(docs): broken link in README by @​jeertmans in google-deepmind/optax#940
• Add a deprecation module to warn or raise errors for deprecations (following jax semantics). by @​copybara-service in google-deepmind/optax#931
• chore(ci): add markdown-link-check action by @​jeertmans in google-deepmind/optax#939
• Implementation of MoMo algorithm by @​fabian-sp in google-deepmind/optax#721
• Weight decay for COCOB by @​albcab in google-deepmind/optax#945
• Add a nesterov flag to radam optimizer. by @​carlosgmartin in google-deepmind/optax#949
• Formatting in momo docstring + doctest by @​fabianp in google-deepmind/optax#950
• docstring formatting by @​fabianp in google-deepmind/optax#952
• Port schedule_free optimizer to optax. Original pytorch repo: https://github.com/facebookresearch/schedule_free by @​copybara-service in google-deepmind/optax#911
• Fix RST formatting issues. by @​fabianp in google-deepmind/optax#953
• remove duplicated BATCH_SIZE argument by @​fabianp in google-deepmind/optax#956
• Replace deprecated jax.tree_* functions with jax.tree.* by @​copybara-service in google-deepmind/optax#963
• remove residues from previous builds before running tests by @​fabianp in google-deepmind/optax#967
• Fix docs errors by @​copybara-service in google-deepmind/optax#941
• Removing sophia optimizer by @​copybara-service in google-deepmind/optax#973
• move clipping transforms to optax.transforms. by @​copybara-service in google-deepmind/optax#926
• Expose components in sub-package by @​copybara-service in google-deepmind/optax#978
• Add multiclass_sparsemax_loss. by @​copybara-service in google-deepmind/optax#971
• Remove useless inner jit by @​copybara-service in google-deepmind/optax#957
• Fix memory leak in radam optimizer by @​lukekulik in google-deepmind/optax#974
• Add end_scale argument by @​stefanocortinovis in google-deepmind/optax#975
• Fix error with x64 loss by @​stefanocortinovis in google-deepmind/optax#976
• LBFGS solver part 1: chainable preconditioner. by @​copybara-service in google-deepmind/optax#980
• Fix docs errors (following warnings displayed in doc logs of github actions) by @​copybara-service in google-deepmind/optax#984
• [JAX] Update users of jax.tree.map() to be more careful about how they handle Nones. by @​copybara-service in google-deepmind/optax#983
• LBFGS solver part 2: implementing linesearch ensuring sufficient decrease and small curvature by @​copybara-service in google-deepmind/optax#981
• CI: add test against oldest supported JAX version by @​jakevdp in google-deepmind/optax#987
• Internal change by @​copybara-service in google-deepmind/optax#988
• Ignore some linesearch tests on gpu/tpu by @​copybara-service in google-deepmind/optax#986
• LBFGS part 3: combine lbfgs and zoom linesearch by @​copybara-service in google-deepmind/optax#989

... (truncated)

Commits

• e90eecd Release v0.2.3
• 8c46b75 Fix doctest normalize_by_update_norm
• 5b55ccc Merge pull request #1000 from fabianp:SauravMaheshkar-saurav/scale_by_grad_norm
• 648a967 Add schedule_free check for b1 != 0.
• f72fbfc Add common schedule_free wrappers.
• 2660a04 Merge branch 'saurav/scale_by_grad_norm' of https://github.com/SauravMaheshka...
• 23b7703 LBFGS part 4: notebook illustrating how to use lbfgs with linesearch as a sol...
• 10cf508 Add arxiv reference to schedule_free optimizer.
• b849fc6 docs: update transformations API docs
• 5c01f6f docs: update transformations
• Additional commits viewable in compare view

Updates pandas from 2.2.2 to 2.2.3

Release notes

Sourced from pandas's releases.

Pandas 2.2.3

We are pleased to announce the release of pandas 2.2.3. This release includes some new features, bug fixes, and performance improvements. We recommend that all users upgrade to this version.

See the full whatsnew for a list of all the changes. Pandas 2.2.3 supports Python 3.9 and higher.

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

conda install pandas

Or via PyPI:

python3 -m pip install --upgrade pandas

Please report any issues with the release on the pandas issue tracker.

Thanks to all the contributors who made this release possible.

Commits

• 0691c5c RLS: 2.2.3
• 658dfdd relax cython bound
• 6891e90 Backport PR #59847: BLD: Build wheels for Python 3.13 on aarch64 as well
• f108468 RLS: 2.2.3
• 6958738 Backport PR #59840: BLD: Final release prep for 2.2.3 (#59842)
• 0bd98fe Backport PR #59136 on branch 2.2.x (Upload 3.13 & free-threaded nightly wheel...
• 8d67e77 Backport PR #59836 on branch 2.2.x (BLD: Fix bad Cython annotation) (#59837)
• f7b6378 Assorted backports for 2.2.x (#59785)
• 2127b42 Backport #59144 on 2.2.x / 2.3.x (remove ops div class to solve #2137) (#59535)
• 4a20adb Backport PR #59813 on branch 2.2.x (CI: Debug failing ARM builds) (#59828)
• Additional commits viewable in compare view

Updates pennylane from 0.35.1 to 0.38.0

Release notes

Sourced from pennylane's releases.

Release 0.38.0

• A new function called qml.registers has been added that lets you seamlessly create registers of wires. [(#5957)](PennyLaneAI/pennylane#5957) [(#6102)](PennyLaneAI/pennylane#6102)

  Using registers, it is easier to build large algorithms and circuits by applying gates and operations to predefined collections of wires. With qml.registers, you can create registers of wires by providing a dictionary whose keys are register names and whose values are the number of wires in each register.

  >>> wire_reg = qml.registers({"alice": 4, "bob": 3})
  >>> wire_reg
  {'alice': Wires([0, 1, 2, 3]), 'bob': Wires([4, 5, 6])}

  The resulting data structure of qml.registers is a dictionary with the same register names as keys, but the values are qml.wires.Wires instances.

  Nesting registers within other registers can be done by providing a nested dictionary, where the ordering of wire labels is based on the order of appearance and nestedness.

  >>> wire_reg = qml.registers({"alice": {"alice1": 1, "alice2": 2}, "bob": {"bob1": 2, "bob2": 1}})
  >>> wire_reg
  {'alice1': Wires([0]), 'alice2': Wires([1, 2]), 'alice': Wires([0, 1, 2]), 'bob1': Wires([3, 4]), 'bob2': Wires([5]), 'bob': Wires([3, 4, 5])}

  Since the values of the dictionary are Wires instances, their use within quantum circuits is very similar to that of a list of integers.

  dev = qml.device("default.qubit")
  @​qml.qnode(dev)
  def circuit():
  for w in wire_reg["alice"]:
  qml.Hadamard(w)
  for w in wire_reg["bob1"]:
      qml.RX(0.1967, wires=w)
  qml.CNOT(wires=[wire_reg["alice1"][0], wire_reg["bob2"][0]])
  return [qml.expval(qml.Y(w)) for w in wire_reg["bob1"]]
  
  print(qml.draw(circuit)())

  0: ──H────────╭●─┤     
  1: ──H────────│──┤     
  2: ──H────────│──┤     
  3: ──RX(0.20)─│──┤  <Y>

... (truncated)

Commits

• 9ba6205 Final updates before 0.38 release (#6202)
• 4a0c41e quality assurance - wire registers (2) (#6184)
• 3d39e18 Cast initial state into complex dtype for default.qubit + Update `Sum.label...
• f521ada v0.38 changelog (#6143)
• 72dc920 Fix sparse matrix with global phase (#6197)
• 39220ed Update validation checks on quantum arithmetic templates (#6194)
• bb577c4 fix renormalization issue (#6190)
• 60d1c73 Documentation for Quantum Arithmetic (#6179)
• 1487a07 fix assert valid pickling test (#6195)
• 60bb1e6 Quality assurance: misc typos (#6192)
• Additional commits viewable in compare view

Updates pennylane-lightning from 0.35.1 to 0.38.0

Release notes

Sourced from pennylane-lightning's releases.

Release 0.38.0

New features since last release

• Add qml.StatePrep() and qml.QubitStateVector() support to lightning.tensor. [(#849)](PennyLaneAI/pennylane-lightning#849)

• Add analytic qml.probs() measurement support to lightning.tensor. [(

[dependabot]

Looks like these dependencies are updatable in another way, so this is no longer needed.