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infra: bump the dev-dependencies group across 1 directory with 16 updates #630

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Updates the requirements on botocore, awscli, boto3, amazon-braket-pennylane-plugin, jax, jaxlib, ml-dtypes, numpy, optax, pandas, pennylane, pennylane-lightning, qiskit-aer, scipy, scs and sympy to permit the latest version.
Updates botocore from 1.35.0 to 1.35.29

Changelog

Sourced from botocore's changelog.

1.35.29

  • api-change:customer-profiles: Introduces optional RoleArn parameter for PutIntegration request and includes RoleArn in the response of PutIntegration, GetIntegration and ListIntegrations
  • api-change:quicksight: Adding personalization in QuickSight data stories. Admins can enable or disable personalization through QuickSight settings.
  • api-change:securityhub: Documentation updates for AWS Security Hub
  • api-change:sesv2: This release adds support for engagement tracking over Https using custom domains.

1.35.28

  • api-change:chatbot: Return State and StateReason fields for Chatbot Channel Configurations.
  • api-change:lambda: Reverting Lambda resource-based policy and block public access APIs.
  • api-change:organizations: Add support for policy operations on the CHATBOT_POLICY policy type.
  • api-change:pcs: AWS PCS API documentation - Edited the description of the iamInstanceProfileArn parameter of the CreateComputeNodeGroup and UpdateComputeNodeGroup actions; edited the description of the SlurmCustomSetting data type to list the supported parameters for clusters and compute node groups.
  • api-change:rds-data: Documentation update for RDS Data API to reflect support for Aurora MySQL Serverless v2 and Provisioned DB clusters.
  • api-change:sagemaker: Adding TagPropagation attribute to Sagemaker API

1.35.27

  • api-change:cloudtrail: Doc-only update for CloudTrail network activity events release (in preview)
  • api-change:ec2: Updates to documentation for the transit gateway security group referencing feature.
  • api-change:fsx: Doc-only update to address Lustre S3 hard-coded names.
  • api-change:worklink: The worklink client has been removed following the deprecation of the service.

1.35.26

  • api-change:bedrock: Add support for Cross Region Inference in Bedrock Model Evaluations.
  • api-change:budgets: Releasing minor partitional endpoint updates
  • api-change:kinesis: This release includes support to add tags when creating a stream
  • api-change:pinpoint-sms-voice-v2: AWS End User Messaging SMS-Voice V2 has added support for resource policies. Use the three new APIs to create, view, edit, and delete resource policies.
  • api-change:sagemaker: Adding HiddenInstanceTypes and HiddenSageMakerImageVersionAliases attribute to SageMaker API

1.35.25

  • api-change:apigateway: Documentation updates for Amazon API Gateway
  • api-change:athena: List/Get/Update/Delete/CreateDataCatalog now integrate with AWS Glue connections. Users can create a Glue connection through Athena or use a Glue connection to define their Athena federated parameters.
  • api-change:bedrock-agent: Amazon Bedrock Prompt Flows and Prompt Management now supports using inference profiles to increase throughput and improve resilience.
  • api-change:ec2: Amazon EC2 G6e instances powered by NVIDIA L40S Tensor Core GPUs are the most cost-efficient GPU instances for deploying generative AI models and the highest performance GPU instances for spatial computing workloads.
  • api-change:emr-serverless: This release adds support for job concurrency and queuing configuration at Application level.
  • api-change:glue: Added AthenaProperties parameter to Glue Connections, allowing Athena to store service specific properties on Glue Connections.
  • api-change:rds: Support ComputeRedundancy parameter in ModifyDBShardGroup API. Add DBShardGroupArn in DBShardGroup API response. Remove InvalidMaxAcuFault from CreateDBShardGroup and ModifyDBShardGroup API. Both API will throw InvalidParameterValueException for invalid ACU configuration.
  • api-change:resource-explorer-2: AWS Resource Explorer released ListResources feature which allows customers to list all indexed AWS resources within a view.

... (truncated)

Commits
  • 892c64b Merge branch 'release-1.35.29'
  • 7c6966c Bumping version to 1.35.29
  • 61e47ca Update endpoints model
  • 41c8c54 Update to latest models
  • 69b94ee Merge branch 'release-1.35.28'
  • e811910 Merge branch 'release-1.35.28' into develop
  • 51e5f1c Bumping version to 1.35.28
  • 845c85c Update endpoints model
  • 27088b2 Update to latest models
  • f54eb24 Merge pull request #3250 from ashishdhingra/user/ashdhin/IssueTemplateRegress...
  • Additional commits viewable in compare view

Updates awscli from 1.34.0 to 1.34.29

Commits
  • 81e04f5 Merge branch 'release-1.34.29'
  • 04db348 Bumping version to 1.34.29
  • 5323e8d Update changelog based on model updates
  • 3c1b610 Merge branch 'release-1.34.28'
  • ca2b93c Merge branch 'release-1.34.28' into develop
  • 3c6cf59 Bumping version to 1.34.28
  • f793c39 Update changelog based on model updates
  • 3859bcf Merge pull request #8906 from aws/user/ashdhin/IssueTemplateRegressionCheckbox
  • 9ae7bcb chore: Modified bug issue template to add checkbox to report potential regres...
  • 7d96cf1 Merge branch 'release-1.34.27'
  • Additional commits viewable in compare view

Updates boto3 from 1.35.0 to 1.35.29

Commits
  • f1cff14 Merge branch 'release-1.35.29'
  • b84190a Bumping version to 1.35.29
  • 03ce91f Add changelog entries from botocore
  • 8307fac Merge branch 'release-1.35.28'
  • 485d673 Merge branch 'release-1.35.28' into develop
  • 4709d04 Bumping version to 1.35.28
  • 02fc8c8 Add changelog entries from botocore
  • ddc499b Merge pull request #4264 from ashishdhingra/user/ashdhin/IssueTemplateRegress...
  • 7b8a011 chore: Modified bug issue template to add checkbox to report potential regres...
  • 5dc18b0 Merge branch 'release-1.35.27'
  • 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 jax from 0.4.29 to 0.4.33

Release notes

Sourced from jax's releases.

JAX release v0.4.33

This is a patch release on top of jax 0.4.32, that fixes two bugs found in that release.

A TPU-only data corruption bug was found in the version of libtpu pinned by JAX 0.4.32, which manifested only if multiple TPU slices were present in the same job, for example, if training on multiple v5e slices.

This release fixes that issue by pinning a fixed version of libtpu-nightly.

This release also fixes an inaccurate result for F64 tanh on CPU (#23590).

JAX 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 v0.4.32

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

JAX release v0.4.31

No release notes provided.

Jaxlib release v0.4.31

No release notes provided.

Jax release v0.4.30

No release notes provided.

Jaxlib release v0.4.30

No release notes provided.

Changelog

Sourced from jax's changelog.

jax 0.4.33 (September 16, 2024)

This is a patch release on top of jax 0.4.32, that fixes two bugs found in that release.

A TPU-only data corruption bug was found in the version of libtpu pinned by JAX 0.4.32, which manifested only if multiple TPU slices were present in the same job, for example, if training on multiple v5e slices. This release fixes that issue by pinning a fixed version of libtpu.

This release fixes an inaccurate result for F64 tanh on CPU (#23590).

jax 0.4.32 (September 11, 2024)

Note: This release was yanked from PyPi because of a data corruption bug on TPU. See the 0.4.33 release notes for more details.

  • New Functionality

    • Added {func}jax.extend.ffi.ffi_call and {func}jax.extend.ffi.ffi_lowering to support the use of the new {ref}ffi-tutorial to interface with custom C++ and CUDA code from JAX.

  • Changes

    • jax_enable_memories flag is set to True by default.
    • {mod}jax.numpy now supports v2023.12 of the Python Array API Standard. See {ref}python-array-api for more information.
    • Computations on the CPU backend may now be dispatched asynchronously in more cases. Previously non-parallel computations were always dispatched synchronously. You can recover the old behavior by setting jax.config.update('jax_cpu_enable_async_dispatch', False).
    • Added new {func}jax.process_indices function to replace the jax.host_ids() function that was deprecated in JAX v0.2.13.
    • To align with the behavior of numpy.fabs, jax.numpy.fabs has been modified to no longer support complex dtypes.
    • jax.tree_util.register_dataclass now checks that data_fields and meta_fields includes all dataclass fields with init=True and only them, if nodetype is a dataclass.
    • Several {mod}jax.numpy functions now have full {class}~jax.numpy.ufunc interfaces, including {obj}~jax.numpy.add, {obj}~jax.numpy.multiply, {obj}~jax.numpy.bitwise_and, {obj}~jax.numpy.bitwise_or, {obj}~jax.numpy.bitwise_xor, {obj}~jax.numpy.logical_and, {obj}~jax.numpy.logical_and, and {obj}~jax.numpy.logical_and. In future releases we plan to expand these to other ufuncs.
    • Added {func}jax.lax.optimization_barrier, which allows users to prevent compiler optimizations such as common-subexpression elimination and to control scheduling.

  • Breaking changes

    • The MHLO MLIR dialect (jax.extend.mlir.mhlo) has been removed. Use the stablehlo dialect instead.

... (truncated)

Commits
  • 80e1c94 Prepare for v0.4.33 release.
  • 1594d2f Prepare for v0.4.32 release.
  • ed849ff Make sure to call the superclass' init() on a newly created instance in P...
  • 2bd1fde Relax test tolerance in pinv test to fix a CI failure on Windows CPU.
  • e869a9d Merge pull request #23415 from kaixih:key_value_seq_lengths
  • ea68f45 Internal change
  • 49dd6ed Disable a pallas export compatibility test that fails on TPU v6e.
  • 808003b Update users of jax.tree.map() to be more careful about how they handle Nones.
  • e3c4b20 [Pallas] Implement tiled and swizzled Memref loads for Mosaic GPU via "GPUBlo...
  • c659dc9 [Pallas] Disable win32 gpu_ops_test.
  • Additional commits viewable in compare view

Updates jaxlib from 0.4.29 to 0.4.33

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 0.4.33 (September 16, 2024)

This is a patch release on top of jax 0.4.32, that fixes two bugs found in that release.

A TPU-only data corruption bug was found in the version of libtpu pinned by JAX 0.4.32, which manifested only if multiple TPU slices were present in the same job, for example, if training on multiple v5e slices. This release fixes that issue by pinning a fixed version of libtpu.

This release fixes an inaccurate result for F64 tanh on CPU (#23590).

jax 0.4.32 (September 11, 2024)

Note: This release was yanked from PyPi because of a data corruption bug on TPU. See the 0.4.33 release notes for more details.

  • New Functionality

    • Added {func}jax.extend.ffi.ffi_call and {func}jax.extend.ffi.ffi_lowering to support the use of the new {ref}ffi-tutorial to interface with custom C++ and CUDA code from JAX.

  • Changes

    • jax_enable_memories flag is set to True by default.
    • {mod}jax.numpy now supports v2023.12 of the Python Array API Standard. See {ref}python-array-api for more information.
    • Computations on the CPU backend may now be dispatched asynchronously in more cases. Previously non-parallel computations were always dispatched synchronously. You can recover the old behavior by setting jax.config.update('jax_cpu_enable_async_dispatch', False).
    • Added new {func}jax.process_indices function to replace the jax.host_ids() function that was deprecated in JAX v0.2.13.
    • To align with the behavior of numpy.fabs, jax.numpy.fabs has been modified to no longer support complex dtypes.
    • jax.tree_util.register_dataclass now checks that data_fields and meta_fields includes all dataclass fields with init=True and only them, if nodetype is a dataclass.
    • Several {mod}jax.numpy functions now have full {class}~jax.numpy.ufunc interfaces, including {obj}~jax.numpy.add, {obj}~jax.numpy.multiply, {obj}~jax.numpy.bitwise_and, {obj}~jax.numpy.bitwise_or, {obj}~jax.numpy.bitwise_xor, {obj}~jax.numpy.logical_and, {obj}~jax.numpy.logical_and, and {obj}~jax.numpy.logical_and. In future releases we plan to expand these to other ufuncs.
    • Added {func}jax.lax.optimization_barrier, which allows users to prevent compiler optimizations such as common-subexpression elimination and to control scheduling.

  • Breaking changes

    • The MHLO MLIR dialect (jax.extend.mlir.mhlo) has been removed. Use the stablehlo dialect instead.

... (truncated)

Commits
  • 80e1c94 Prepare for v0.4.33 release.
  • 1594d2f Prepare for v0.4.32 release.
  • ed849ff Make sure to call the superclass' init() on a newly created instance in P...
  • 2bd1fde Relax test tolerance in pinv test to fix a CI failure on Windows CPU.
  • e869a9d Merge pull request #23415 from kaixih:key_value_seq_lengths
  • ea68f45 Internal change
  • 49dd6ed Disable a pallas export compatibility test that fails on TPU v6e.
  • 808003b Update users of jax.tree.map() to be more careful about how they handle Nones.
  • e3c4b20 [Pallas] Implement tiled and swizzled Memref loads for Mosaic GPU via "GPUBlo...
  • c659dc9 [Pallas] Disable win32 gpu_ops_test.
  • 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 numpy from 1.26.4 to 2.1.1

Release notes

Sourced from numpy's releases.

2.1.1 (Sep 3, 2024)

NumPy 2.1.1 Release Notes

NumPy 2.1.1 is a maintenance release that fixes bugs and regressions discovered after the 2.1.0 release.

The Python versions supported by this release are 3.10-3.13.

Contributors

A total of 7 people contributed to this release. People with a "+" by their names contributed a patch for the first time.

  • Andrew Nelson
  • Charles Harris
  • Mateusz Sokół
  • Maximilian Weigand +
  • Nathan Goldbaum
  • Pieter Eendebak
  • Sebastian Berg

Pull requests merged

A total of 10 pull requests were merged for this release.

  • #27236: REL: Prepare for the NumPy 2.1.0 release [wheel build]
  • #27252: MAINT: prepare 2.1.x for further development
  • #27259: BUG: revert unintended change in the return value of set_printoptions
  • #27266: BUG: fix reference counting bug in __array_interface__ implementation...
  • #27267: TST: Add regression test for missing descr in array-interface
  • #27276: BUG: Fix #27256 and #27257
  • #27278: BUG: Fix array_equal for numeric and non-numeric scalar types
  • #27287: MAINT: Update maintenance/2.1.x after the 2.0.2 release
  • #27303: BLD: cp311- macosx_arm64 wheels [wheel build]
  • #27304: BUG: f2py: better handle filtering of public/private subroutines

Checksums

MD5

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84b752a2220dce7c96ff89eef4f4aec3  numpy-2.1.1-cp310-cp310-macosx_11_0_arm64.whl
47ed4f704a64261f07ca24ef2e674524  numpy-2.1.1-cp310-cp310-macosx_14_0_arm64.whl
b8a45caa870aee980c298053cf064d28  numpy-2.1.1-cp310-cp310-macosx_14_0_x86_64.whl
e097ad5eee572b791b4a25eedad6df4a  numpy-2.1.1-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
ae502c99315884cda7f0236a07c035c4  numpy-2.1.1-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
841a859d975c55090c0b60b72aab93a3  numpy-2.1.1-cp310-cp310-musllinux_1_1_x86_64.whl
d51be2b17f5b87aac64ab80fdfafc85e  numpy-2.1.1-cp310-cp310-musllinux_1_2_aarch64.whl
1f8249bd725397c6233fe6a0e8ad18b1  numpy-2.1.1-cp310-cp310-win32.whl
d38d6f06589c1ec104a6a31ff6035781  numpy-2.1.1-cp310-cp310-win_amd64.whl

... (truncated)

Commits
  • 48606ab Merge pull request #27328 from charris/prepare-2.1.1
  • a7cb4c4 REL: Prepare for the NumPy 2.1.1 release [wheel build]
  • 884c92b Merge pull request #27303 from charris/backport-27284
  • ca7f5c1 Merge pull request #27304 from charris/backport-27049
  • 2a49507 BUG: f2py: better handle filtering of public/private subroutines
  • d4306dd TST: Add regression test for gh-26920
  • db9668d BLD: cp311- macosx_arm64 wheels [wheel build]
  • c6ff254 Merge pull request #27287 from charris/post-2.0.2-release-update
  • 326bc17 MAINT: Update main after the 2.0.2 release
  • 8164b7c Merge pull request #27278 from charris/backport-27275
  • 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

... (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

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

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

Breaking changes

Improvements

  • Update Lightning tests to support the generalization of basis state preparation. [(#864)](

@dependabot
infra: bump the dev-dependencies group across 1 directory with 16 upd…
d6a5d24 
…ates

Updates the requirements on [botocore](https://github.com/boto/botocore), [awscli](https://github.com/aws/aws-cli), [boto3](https://github.com/boto/boto3), [amazon-braket-pennylane-plugin](https://github.com/amazon-braket/amazon-braket-pennylane-plugin-python), [jax](https://github.com/google/jax), [jaxlib](https://github.com/google/jax), [ml-dtypes](https://github.com/jax-ml/ml_dtypes), [numpy](https://github.com/numpy/numpy), [optax](https://github.com/google-deepmind/optax), [pandas](https://github.com/pandas-dev/pandas), [pennylane](https://github.com/PennyLaneAI/pennylane), [pennylane-lightning](https://github.com/PennyLaneAI/pennylane-lightning), [qiskit-aer](https://github.com/Qiskit/qiskit-aer), [scipy](https://github.com/scipy/scipy), [scs](https://github.com/cvxgrp/scs) and [sympy](https://github.com/sympy/sympy) to permit the latest version.

Updates `botocore` from 1.35.0 to 1.35.29
- [Changelog](https://github.com/boto/botocore/blob/develop/CHANGELOG.rst)
- [Commits](boto/botocore@1.35.0...1.35.29)

Updates `awscli` from 1.34.0 to 1.34.29
- [Release notes](https://github.com/aws/aws-cli/releases)
- [Commits](aws/aws-cli@1.34.0...1.34.29)

Updates `boto3` from 1.35.0 to 1.35.29
- [Release notes](https://github.com/boto/boto3/releases)
- [Commits](boto/boto3@1.35.0...1.35.29)

Updates `amazon-braket-pennylane-plugin` from 1.28.0 to 1.30.1
- [Release notes](https://github.com/amazon-braket/amazon-braket-pennylane-plugin-python/releases)
- [Changelog](https://github.com/amazon-braket/amazon-braket-pennylane-plugin-python/blob/main/CHANGELOG.md)
- [Commits](amazon-braket/amazon-braket-pennylane-plugin-python@v1.28.0...v1.30.1)

Updates `jax` from 0.4.29 to 0.4.33
- [Release notes](https://github.com/google/jax/releases)
- [Changelog](https://github.com/jax-ml/jax/blob/main/CHANGELOG.md)
- [Commits](jax-ml/jax@jax-v0.4.29...jax-v0.4.33)

Updates `jaxlib` from 0.4.29 to 0.4.33
- [Release notes](https://github.com/google/jax/releases)
- [Changelog](https://github.com/jax-ml/jax/blob/main/CHANGELOG.md)
- [Commits](jax-ml/jax@jaxlib-v0.4.29...jax-v0.4.33)

Updates `ml-dtypes` from 0.4.0 to 0.5.0
- [Release notes](https://github.com/jax-ml/ml_dtypes/releases)
- [Changelog](https://github.com/jax-ml/ml_dtypes/blob/main/CHANGELOG.md)
- [Commits](jax-ml/ml_dtypes@v0.4.0...v0.5.0)

Updates `numpy` from 1.26.4 to 2.1.1
- [Release notes](https://github.com/numpy/numpy/releases)
- [Changelog](https://github.com/numpy/numpy/blob/main/doc/RELEASE_WALKTHROUGH.rst)
- [Commits](numpy/numpy@v1.26.4...v2.1.1)

Updates `optax` from 0.2.2 to 0.2.3
- [Release notes](https://github.com/google-deepmind/optax/releases)
- [Commits](google-deepmind/optax@v0.2.2...v0.2.3)

Updates `pandas` from 2.2.2 to 2.2.3
- [Release notes](https://github.com/pandas-dev/pandas/releases)
- [Commits](pandas-dev/pandas@v2.2.2...v2.2.3)

Updates `pennylane` from 0.35.1 to 0.38.0
- [Release notes](https://github.com/PennyLaneAI/pennylane/releases)
- [Commits](PennyLaneAI/pennylane@v0.35.1...v0.38.0)

Updates `pennylane-lightning` from 0.35.1 to 0.38.0
- [Release notes](https://github.com/PennyLaneAI/pennylane-lightning/releases)
- [Commits](PennyLaneAI/pennylane-lightning@v0.35.1...v0.38.0)

Updates `qiskit-aer` from 0.14.2 to 0.15.1
- [Release notes](https://github.com/Qiskit/qiskit-aer/releases)
- [Commits](Qiskit/qiskit-aer@0.14.2...0.15.1)

Updates `scipy` from 1.13.1 to 1.14.1
- [Release notes](https://github.com/scipy/scipy/releases)
- [Commits](scipy/scipy@v1.13.1...v1.14.1)

Updates `scs` to 3.2.7
- [Release notes](https://github.com/cvxgrp/scs/releases)
- [Commits](cvxgrp/scs@1.0...3.2.7)

Updates `sympy` to 1.13.3
- [Release notes](https://github.com/sympy/sympy/releases)
- [Commits](sympy/sympy@sympy-0.5.0...sympy-1.13.3)

---
updated-dependencies:
- dependency-name: botocore
  dependency-type: direct:production
  update-type: version-update:semver-patch
  dependency-group: dev-dependencies
- dependency-name: awscli
  dependency-type: direct:production
  update-type: version-update:semver-patch
  dependency-group: dev-dependencies
- dependency-name: boto3
  dependency-type: direct:production
  update-type: version-update:semver-patch
  dependency-group: dev-dependencies
- dependency-name: amazon-braket-pennylane-plugin
  dependency-type: direct:production
  update-type: version-update:semver-minor
  dependency-group: dev-dependencies
- dependency-name: jax
  dependency-type: direct:production
  update-type: version-update:semver-patch
  dependency-group: dev-dependencies
- dependency-name: jaxlib
  dependency-type: direct:production
  update-type: version-update:semver-patch
  dependency-group: dev-dependencies
- dependency-name: ml-dtypes
  dependency-type: direct:production
  update-type: version-update:semver-minor
  dependency-group: dev-dependencies
- dependency-name: numpy
  dependency-type: direct:production
  update-type: version-update:semver-major
  dependency-group: dev-dependencies
- dependency-name: optax
  dependency-type: direct:production
  update-type: version-update:semver-patch
  dependency-group: dev-dependencies
- dependency-name: pandas
  dependency-type: direct:production
  update-type: version-update:semver-patch
  dependency-group: dev-dependencies
- dependency-name: pennylane
  dependency-type: direct:production
  update-type: version-update:semver-minor
  dependency-group: dev-dependencies
- dependency-name: pennylane-lightning
  dependency-type: direct:production
  update-type: version-update:semver-minor
  dependency-group: dev-dependencies
- dependency-name: qiskit-aer
  dependency-type: direct:production
  update-type: version-update:semver-minor
  dependency-group: dev-dependencies
- dependency-name: scipy
  dependency-type: direct:production
  update-type: version-update:semver-minor
  dependency-group: dev-dependencies
- dependency-name: scs
  dependency-type: direct:production
  dependency-group: dev-dependencies
- dependency-name: sympy
  dependency-type: direct:production
  dependency-group: dev-dependencies
...

Signed-off-by: dependabot[bot] <[email protected]>
@dependabot dependabot bot requested a review from a team as a code owner September 27, 2024 21:42
@dependabot dependabot bot added dependencies Pull requests that update a dependency file python Pull requests that update Python code labels Sep 27, 2024
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