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Bump the pip group across 1 directories with 6 updates #2

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Bumps the pip group with 6 updates in the /scripts/setup directory:

Package From To
autobahn 19.2.1 20.12.3
numpy 1.16.0 1.22.0
psutil 5.6.0 5.6.6
ray 0.6.2 2.7.0
torch 0.4.0 1.13.1
twisted 18.9.0 23.10.0

Updates autobahn from 19.2.1 to 20.12.3

Changelog

Sourced from autobahn's changelog.

20.12.3

  • fix: URL must be re-encoded when doing redirect (#1439)
  • fix: update and migrate CI/CD pipeline to GitHub Actions
  • new: minimum supported Python (language) version is now 3.6 (on CPython and PyPy)

20.12.2

  • fix: derive_bip32childkey traceback (#1436)
  • fix: update and adjust docker files to upstream changes

20.12.1

  • new: CLI commands for WAMP IDL (xbrnetwork describe-schema / codegen-schema)
  • new: add eth address helpers (#1413)
  • new: cryptosign authextra allow arbitrary keys (#1411)
  • fix: adapt to planet api prefix change (#1408)
  • fix: Type check improve (#1405)

20.7.1

  • new: add market login eip. expose helpers (#1402)

20.6.2

  • fix: xbr fixes (#1396)
  • fix: use cpy 3.8 for running flake in CI
  • new: Ticket1392 internal attrs (#1394)
  • new: internal-only router attributes and hook for router to add custom information

20.6.1

  • new: massive expansion of XBR CLI and EIP712 helpers
  • new: more (exhaustive) serializer cross-tripping tests
  • fix: some code quality and bug-risk issues (#1379)
  • fix: removed externalPort assignment when not set (#1378)
  • fix: docs link in README (#1381)
  • fix: docs typo frameword -> framework (#1380)
  • fix: improve logging; track results on observable mixin
  • new: add environmental variable that strips xbr. (#1374)
  • fix: trollius is gone (#1373)
  • new: added ability to disable TLS channel binding (#1368)

20.4.3

... (truncated)

Commits

Updates numpy from 1.16.0 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 psutil from 5.6.0 to 5.6.6

Changelog

Sourced from psutil's changelog.

5.6.6

2019-11-25

Bug fixes

  • 1179_, [Linux]: Process.cmdline()_ now takes into account misbehaving processes renaming the command line and using inappropriate chars to separate args.
  • 1616_, [critical]: use of Py_DECREF instead of Py_CLEAR will result in double free() and segfault (CVE-2019-18874 <https://cve.mitre.org/cgi-bin/cvename.cgi?name=CVE-2019-18874>__). (patch by Riccardo Schirone)
  • 1619_, [OpenBSD], [critical]: compilation fails due to C syntax error. (patch by Nathan Houghton)

5.6.5

2019-11-06

Bug fixes

  • 1615_: remove pyproject.toml as it was causing installation issues.

5.6.4

2019-11-04

Enhancements

  • 1527_, [Linux]: added Process.cpu_times()_ iowait counter, which is the time spent waiting for blocking I/O to complete.
  • 1565_: add PEP 517/8 build backend and requirements specification for better pip integration. (patch by Bernát Gábor)

Bug fixes

  • 875_, [Windows], [critical]: Process.cmdline(), Process.environ() or Process.cwd()_ may occasionally fail with ERROR_PARTIAL_COPY which now gets translated to AccessDenied_.
  • 1126_, [Linux], [critical]: Process.cpu_affinity()_ segfaults on CentOS 5 / manylinux. Process.cpu_affinity()_ support for CentOS 5 was removed.
  • 1528_, [AIX], [critical]: compilation error on AIX 7.2 due to 32 vs 64 bit differences. (patch by Arnon Yaari)
  • 1535_: type and family fields returned by net_connections()_ are not always turned into enums.
  • 1536_, [NetBSD]: Process.cmdline()_ erroneously raise ZombieProcess_ error if cmdline has non encodable chars.

... (truncated)

Commits
  • c6cd256 pre release
  • b2414b8 revert #1595
  • c63369e updat HISTORY
  • edb20f6 linux, cmdline(), fix for #1179, comment 552984549: sometimes string ends wit...
  • d739cbb use PROCESS_QUERY_LIMITED_INFORMATION
  • f7e898b #1595: use psutil_pid_is_running() instead of GetExitCodeProcess
  • 72c84cb #fix #1595 / windows: kill() may not raise AccessDenied
  • 1f8d432 Merge branch 'master' of github.com:giampaolo/psutil
  • e6faebc release gil around users()/BSD (#1425)
  • 5cb1b0b Merge branch 'master' of github.com:giampaolo/psutil
  • Additional commits viewable in compare view

Updates ray from 0.6.2 to 2.7.0

Release notes

Sourced from ray's releases.

Ray-2.7.0

Release Highlights

Ray 2.7 release brings important stability improvements and enhancements to Ray libraries, with Ray Train and Ray Serve becoming generally available. Ray 2.7 is accompanied with a GA release of KubeRay.

  • Following user feedback, we are rebranding “Ray AI Runtime (AIR)” to “Ray AI Libraries”. Without reducing any of the underlying functionality of the original Ray AI runtime vision as put forth in Ray 2.0, the underlying namespace (ray.air) is consolidated into ray.data, ray.train, and ray.tune. This change reduces the friction for new machine learning (ML) practitioners to quickly understand and leverage Ray for their production machine learning use cases.
  • With this release, Ray Serve and Ray Train’s Pytorch support are becoming Generally Available -- indicating that the core APIs have been marked stable and that both libraries have undergone significant production hardening.
  • In Ray Serve, we are introducing a new backwards-compatible DeploymentHandle API to unify various existing Handle APIs, a high performant gRPC proxy to serve gRPC requests through Ray Serve, along with various stability and usability improvements.
  • In Ray Train, we are consolidating various Pytorch-based trainers into the TorchTrainer, reducing the amount of refactoring work new users needed to scale existing training scripts. We are also introducing a new train.Checkpoint API, which provides a consolidated way of interacting with remote and local storage, along with various stability and usability improvements.
  • In Ray Core, we’ve added initial integrations with TPUs and AWS accelerators, enabling Ray to natively detect these devices and schedule tasks/actors onto them. Ray Core also officially now supports actor task cancellation and has an experimental streaming generator that supports streaming response to the caller.

Take a look at our refreshed documentation and the Ray 2.7 migration guide and let us know your feedback!

Ray Libraries

Ray AIR

🏗 Architecture refactoring:

Ray Data

🎉 New Features:

  • In this release, we’ve integrated the Ray Core streaming generator API by default, which allows us to reduce memory footprint throughout the data pipeline (#37736).
  • Avoid unnecessary data buffering between Read and Map operator (zero-copy fusion) (#38789)
  • Add Dataset.write_images to write images (#38228)
  • Add Dataset.write_sql() to write SQL databases (#38544)
  • Support sort on multiple keys (#37124)
  • Support reading and writing JSONL file format (#37637)
  • Support class constructor args for Dataset.map() and flat_map() (#38606)
  • Implement streamed read from Hugging Face Dataset (#38432)

💫Enhancements:

  • Read data with multi-threading for FileBasedDataSource (#39493)
  • Optimization to reduce ArrowBlock building time for blocks of size 1 (#38988)

... (truncated)

Commits

Updates torch from 0.4.0 to 1.13.1

Release notes

Sourced from torch's releases.

PyTorch 1.13.1 Release, small bug fix release

This release is meant to fix the following issues (regressions / silent correctness):

  • RuntimeError by torch.nn.modules.activation.MultiheadAttention with bias=False and batch_first=True #88669
  • Installation via pip on Amazon Linux 2, regression #88869
  • Installation using poetry on Mac M1, failure #88049
  • Missing masked tensor documentation #89734
  • torch.jit.annotations.parse_type_line is not safe (command injection) #88868
  • Use the Python frame safely in _pythonCallstack #88993
  • Double-backward with full_backward_hook causes RuntimeError #88312
  • Fix logical error in get_default_qat_qconfig #88876
  • Fix cuda/cpu check on NoneType and unit test #88854 and #88970
  • Onnx ATen Fallback for BUILD_CAFFE2=0 for ONNX-only ops #88504
  • Onnx operator_export_type on the new registry #87735
  • torchrun AttributeError caused by file_based_local_timer on Windows #85427

The release tracker should contain all relevant pull requests related to this release as well as links to related issues

PyTorch 1.13: beta versions of functorch and improved support for Apple’s new M1 chips are now available

Pytorch 1.13 Release Notes

  • Highlights
  • Backwards Incompatible Changes
  • New Features
  • Improvements
  • Performance
  • Documentation
  • Developers

Highlights

We are excited to announce the release of PyTorch 1.13! This includes stable versions of BetterTransformer. We deprecated CUDA 10.2 and 11.3 and completed migration of CUDA 11.6 and 11.7. Beta includes improved support for Apple M1 chips and functorch, a library that offers composable vmap (vectorization) and autodiff transforms, being included in-tree with the PyTorch release. This release is composed of over 3,749 commits and 467 contributors since 1.12.1. We want to sincerely thank our dedicated community for your contributions.

Summary:

  • The BetterTransformer feature set supports fastpath execution for common Transformer models during Inference out-of-the-box, without the need to modify the model. Additional improvements include accelerated add+matmul linear algebra kernels for sizes commonly used in Transformer models and Nested Tensors is now enabled by default.

  • Timely deprecating older CUDA versions allows us to proceed with introducing the latest CUDA version as they are introduced by Nvidia®, and hence allows support for C++17 in PyTorch and new NVIDIA Open GPU Kernel Modules.

  • Previously, functorch was released out-of-tree in a separate package. After installing PyTorch, a user will be able to import functorch and use functorch without needing to install another package.

  • PyTorch is offering native builds for Apple® silicon machines that use Apple's new M1 chip as a beta feature, providing improved support across PyTorch's APIs.

Stable Beta Prototype
Better TransformerCUDA 10.2 and 11.3 CI/CD Deprecation Enable Intel® VTune™ Profiler's Instrumentation and Tracing Technology APIsExtend NNC to support channels last and bf16Functorch now in PyTorch Core LibraryBeta Support for M1 devices Arm® Compute Library backend support for AWS Graviton CUDA Sanitizer

You can check the blogpost that shows the new features here.

Backwards Incompatible changes

... (truncated)

Changelog

Sourced from torch's changelog.

Releasing PyTorch

Release Compatibility Matrix

Following is the Release Compatibility Matrix for PyTorch releases:

| PyTorch version | Python | Stable CUDA | Experimental CUDA |

... (truncated)

Commits

Updates twisted from 18.9.0 to 23.10.0

Release notes

Sourced from twisted's releases.

Twisted 23.10.0 (2023-10-31)

No changes since 23.10.0.rc1.

Features

  • twisted.python.filepath.FilePath and related classes (twisted.python.filepath.IFilepath, twisted.python.filepath.AbstractFilePath, twisted.python.zippath.ZipPath, and twisted.python.zippath.ZipArchive) now have type annotations. Additionally, FilePath is now generic, describing its mode, so you can annotate variables as FilePath[str] or FilePath[bytes] depending on the types that you wish to get back from the 'path' attribute and related methods like 'basename'. (#11822)
  • When using CPython, functions wrapped by twisted.internet.defer.inlineCallbacks can have their arguments and return values freed immediately after completion (due to there no longer being circular references). (#11885)

Bugfixes

  • Fix TypeError on t.i.cfreactor due to 3.10 type annotation syntax (#11965)
  • Fix the type annotations of DeferredLock.run, DeferredSemaphore.run, maybeDeferred, ensureDeferred, inlineCallbacks and fromCoroutine that used to return Deferred[Any] to return the result of the passed Coroutine/Coroutine function (#11985)
  • Fixed significant performance overhead (CPU and bandwidth) when doing small writes to a TLS transport. Specifically, small writes to a TLS transport are now buffered until the next reactor iteration. (#11989)
  • fix mypy due to hypothesis 6.85 (#11995)

Improved Documentation

  • The search and version navigation for the documentation hosted on Read The Docs was fixed. This was a regression introduced with 23.8.0. (#12012)

Deprecations and Removals

  • Drop support for Python 3.7. Remove twisted[contextvars] extra (contextvars are always available in Python 3.7+) (#11913)

Misc

Conch

No significant changes.

Web

... (truncated)

Changelog

Sourced from twisted's changelog.

Twisted 23.10.0 (2023-10-31)

No changes since 23.10.0.rc1.

Features

  • twisted.python.filepath.FilePath and related classes (twisted.python.filepath.IFilepath, twisted.python.filepath.AbstractFilePath, twisted.python.zippath.ZipPath, and twisted.python.zippath.ZipArchive) now have type annotations. Additionally, FilePath is now generic, describing its mode, so you can annotate variables as FilePath[str] or FilePath[bytes] depending on the types that you wish to get back from the 'path' attribute and related methods like 'basename'. (#11822)
  • When using CPython, functions wrapped by twisted.internet.defer.inlineCallbacks can have their arguments and return values freed immediately after completion (due to there no longer being circular references). (#11885)

Bugfixes

  • Fix TypeError on t.i.cfreactor due to 3.10 type annotation syntax (#11965)
  • Fix the type annotations of DeferredLock.run, DeferredSemaphore.run, maybeDeferred, ensureDeferred, inlineCallbacks and fromCoroutine that used to return Deferred[Any] to return the result of the passed Coroutine/Coroutine function (#11985)
  • Fixed significant performance overhead (CPU and bandwidth) when doing small writes to a TLS transport. Specifically, small writes to a TLS transport are now buffered until the next reactor iteration. (#11989)
  • fix mypy due to hypothesis 6.85 (#11995)

Improved Documentation

  • The search and version navigation for the documentation hosted on Read The Docs was fixed. This was a regression introduced with 23.8.0. (#12012)

Deprecations and Removals

  • Drop support for Python 3.7. Remove twisted[contextvars] extra (contextvars are always available in Python 3.7+) (#11913)

Misc

Conch

No significant changes.

Web

... (truncated)

Commits
  • f3f3389 python -m incremental.update Twisted --newversion
  • 2d15c00 Add CVE id to bug.
  • 61c46d4 tox -e towncrier
  • 650c59d python -m incremental.update Twisted --rc
  • 157cd8e #11985 fix DeferredLock.run/Semaphore.run/maybeDeferred/ensureDeferred/inline...
  • ed25d4a [pre-commit.ci] auto fixes from pre-commit.com hooks
  • 5eb2078 Merge branch 'trunk' into fix-concurrency-primative-type
  • 2df4c76 Update src/twisted/test/test_defer.py
  • 105a9f5 #11989 Lots of small writes to the TLS transport use a lot of cpu (#11996)
  • 524a2fa Fix lint
  • Additional commits viewable in compare view

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@dependabot
Bump the pip group across 1 directories with 6 updates
d31175f 
Bumps the pip group with 6 updates in the /scripts/setup directory:

| Package | From | To |
| --- | --- | --- |
| [autobahn](https://github.com/crossbario/autobahn-python) | `19.2.1` | `20.12.3` |
| [numpy](https://github.com/numpy/numpy) | `1.16.0` | `1.22.0` |
| [psutil](https://github.com/giampaolo/psutil) | `5.6.0` | `5.6.6` |
| [ray](https://github.com/ray-project/ray) | `0.6.2` | `2.7.0` |
| [torch](https://github.com/pytorch/pytorch) | `0.4.0` | `1.13.1` |
| [twisted](https://github.com/twisted/twisted) | `18.9.0` | `23.10.0` |


Updates `autobahn` from 19.2.1 to 20.12.3
- [Changelog](https://github.com/crossbario/autobahn-python/blob/master/docs/changelog.rst)
- [Commits](crossbario/autobahn-python@v19.2.1...v20.12.3)

Updates `numpy` from 1.16.0 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@v1.16.0...v1.22.0)

Updates `psutil` from 5.6.0 to 5.6.6
- [Changelog](https://github.com/giampaolo/psutil/blob/master/HISTORY.rst)
- [Commits](giampaolo/psutil@release-5.6.0...release-5.6.6)

Updates `ray` from 0.6.2 to 2.7.0
- [Release notes](https://github.com/ray-project/ray/releases)
- [Commits](ray-project/ray@ray-0.6.2...ray-2.7.0)

Updates `torch` from 0.4.0 to 1.13.1
- [Release notes](https://github.com/pytorch/pytorch/releases)
- [Changelog](https://github.com/pytorch/pytorch/blob/main/RELEASE.md)
- [Commits](pytorch/pytorch@v0.4.0...v1.13.1)

Updates `twisted` from 18.9.0 to 23.10.0
- [Release notes](https://github.com/twisted/twisted/releases)
- [Changelog](https://github.com/twisted/twisted/blob/trunk/NEWS.rst)
- [Commits](twisted/twisted@twisted-18.9.0...twisted-23.10.0)

---
updated-dependencies:
- dependency-name: autobahn
  dependency-type: direct:production
  dependency-group: pip-security-group
- dependency-name: numpy
  dependency-type: direct:production
  dependency-group: pip-security-group
- dependency-name: psutil
  dependency-type: direct:production
  dependency-group: pip-security-group
- dependency-name: ray
  dependency-type: direct:production
  dependency-group: pip-security-group
- dependency-name: torch
  dependency-type: direct:production
  dependency-group: pip-security-group
- dependency-name: twisted
  dependency-type: direct:production
  dependency-group: pip-security-group
...

Signed-off-by: dependabot[bot] <[email protected]>
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