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build(pip): bump the pip group across 1 directory with 13 updates #126

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Bumps the pip group with 13 updates in the / directory:

Package From To
bentoml 1.3.9 1.3.19
flaml 2.3.1 2.3.3
jsonargparse 4.33.2 4.35.0
lancedb 0.14.0 0.17.0
lightning 2.4.0 2.5.0.post0
loguru 0.7.2 0.7.3
mlflow 2.17.0 2.19.0
numpydantic 1.6.4 1.6.6
onnxscript 0.1.0.dev20241016 0.1.0.dev20250106
onnxruntime 1.19.2 1.20.1
polars 1.9.0 1.19.0
ray 2.37.0 2.40.0
ruff 0.6.9 0.8.6

Updates bentoml from 1.3.9 to 1.3.19

Release notes

Sourced from bentoml's releases.

v1.3.19

What's Changed

Full Changelog: bentoml/BentoML@v1.3.18...v1.3.19

v1.3.18

What's Changed

Full Changelog: bentoml/BentoML@v1.3.17...v1.3.18

v1.3.17

What's Changed

... (truncated)

Commits

Updates flaml from 2.3.1 to 2.3.3

Release notes

Sourced from flaml's releases.

v2.3.3

This release fixes some bugs and improves user experience.

Thank you @​kernelmethod , @​EgorKraevTransferwise , @​dannycg1996 and all the other contributors for the PRs, issues, reviewing and testing.

Welcome @​kernelmethod to the community!

What's Changed

New Contributors

Full Changelog: microsoft/FLAML@v2.3.2...v2.3.3

v2.3.2

This release improves the reproducibility of a bunch of models. Huge thanks to @​dannycg1996 !

Thank you @​dannycg1996 , @​smty2018, @​Programmer-RD-AI and all the other contributors for the PRs, issues, reviewing and testing.

What's Changed

New Contributors

Full Changelog: microsoft/FLAML@v2.3.1...v2.3.2

Commits
  • c038fbc fix: KeyError no longer occurs when using groupfolds for regression tasks. (#...
  • 6a99202 Bump nanoid from 3.3.6 to 3.3.8 in /website (#1387)
  • 42d1dcf fix: Fixed bug with catboost and groups (#1383)
  • b83c8a7 Pass cost_attr and cost_budget from flaml.tune.run() to the search algo (#1382)
  • b9194cd Bump cross-spawn from 7.0.3 to 7.0.6 in /website (#1379)
  • 9a1f6b0 Bump version to 2.3.3 (#1378)
  • 07f4413 Fix logging nuisances that can arise when importing flaml (#1377)
  • 5a74227 Flaml: fix lgbm reproducibility (#1369)
  • 7644958 Add documentation for automl.model.estimator usage (#1311)
  • a316f84 fix: LinearSVC results now reproducible (#1376)
  • Additional commits viewable in compare view

Updates jsonargparse from 4.33.2 to 4.35.0

Changelog

Sourced from jsonargparse's changelog.

v4.35.0 (2024-12-16)

Added ^^^^^

  • Support for print config argument to reuse the name of the config argument by using %s ([#630](https://github.com/omni-us/jsonargparse/issues/630) <https://github.com/omni-us/jsonargparse/pull/630>__).

Changed ^^^^^^^

  • Argument groups created from dataclass-like that have zero configurable arguments no longer adds a config loader ([#634](https://github.com/omni-us/jsonargparse/issues/634) <https://github.com/omni-us/jsonargparse/pull/634>__).
  • The CLASS_PATH_OR_NAME for subclass help is now optional and if not given the help of the base class is printed ([#628](https://github.com/omni-us/jsonargparse/issues/628) <https://github.com/omni-us/jsonargparse/pull/628>__).

Fixed ^^^^^

  • Account for change in ArgumentParser._parse_known_args since Python 3.12.8 and 3.13.1 ([#644](https://github.com/omni-us/jsonargparse/issues/644) <https://github.com/omni-us/jsonargparse/pull/644>__).

Deprecated ^^^^^^^^^^

  • add_dataclass_arguments is deprecated and will be removed in v5.0.0. Instead use add_class_arguments ([#634](https://github.com/omni-us/jsonargparse/issues/634) <https://github.com/omni-us/jsonargparse/pull/634>__).
  • From v5.0.0 the print config argument will by default reuse the name of the config argument as --print_%s instead of being always --print_config ([#630](https://github.com/omni-us/jsonargparse/issues/630) <https://github.com/omni-us/jsonargparse/pull/630>__).

v4.34.1 (2024-12-02)

Fixed ^^^^^

  • List of dataclass with nested dataclass attribute fails to parse ([#625](https://github.com/omni-us/jsonargparse/issues/625) <https://github.com/omni-us/jsonargparse/pull/625>__).
  • NotRequired incorrectly having inspect._empty as default ([#625](https://github.com/omni-us/jsonargparse/issues/625) <https://github.com/omni-us/jsonargparse/pull/625>__).
  • Callable protocols failing to parse ([#637](https://github.com/omni-us/jsonargparse/issues/637) <https://github.com/omni-us/jsonargparse/pull/637>__).
  • Help incorrectly showing protocols in known subclasses ([#638](https://github.com/omni-us/jsonargparse/issues/638) <https://github.com/omni-us/jsonargparse/pull/638>__).

v4.34.0 (2024-11-08)

... (truncated)

Commits
  • cd090e3 Bump version: 4.34.1 → 4.35.0
  • 4846a24 Add support for print config argument to reuse the name of the config argumen...
  • da05c1b Account for change in ArgumentParser._parse_known_args since Python 3.12.8 an...
  • a2b4e3d The CLASS_PATH_OR_NAME for subclass help is now optional and if not given the...
  • e9eca4c Deprecate add_dataclass_arguments and related changes (#634)
  • 42c1cae Bump version: 4.34.0 → 4.34.1
  • dddea47 Fix help incorrectly showing protocols in known subclasses (#638)
  • 98e03d6 Fix callable protocols failing to parse (#637)
  • 0ccac3a Change pypi publish to support digital attestations (#633)
  • a1137c1 Remove pydantic_serializer unused code (#631)
  • Additional commits viewable in compare view

Updates lancedb from 0.14.0 to 0.17.0

Release notes

Sourced from lancedb's releases.

Node/Rust LanceDB v0.14.1

🎉 New Features

🐛 Bug Fixes

📚 Documentation

🔧 Build and CI

Node/Rust LanceDB v0.14.1-beta.6

🎉 New Features

📚 Documentation

🔧 Build and CI

... (truncated)

Commits
  • a6e4034 feat: support remote options for remote lancedb connection. Send Azure storag...
  • 2616a50 fix: test errors after setting default limit (#1891)
  • See full diff in compare view

Updates lightning from 2.4.0 to 2.5.0.post0

Release notes

Sourced from lightning's releases.

Lightning v2.5 post0

Full Changelog: Lightning-AI/pytorch-lightning@2.5.0...2.5.0.post0

Lightning v2.5

Lightning AI ⚡ is excited to announce the release of Lightning 2.5.

Lightning 2.5 comes with improvements on several fronts, with zero API changes. Our users love it stable, we keep it stable 😄.

Talking about love ❤️, the lightning, pytorch-lightning and lightning-fabric packages are collectively getting more than 10M downloads per month 😮, for a total of over 180M downloads 🤯 since the early days . It's incredible to see PyTorch Lightning getting such a strong adoption across the industry and the sciences.

Release 2.5 embraces PyTorch 2.5, and it marks some of its more recent directions as officially supported, namely tensor subclass-based APIs like Distributed Tensors and TorchAO, in combination with torch.compile.

Here's a couple of examples:

Full example here

import lightning as L
import torch
import torch.nn as nn
import torch.nn.functional as F
from lightning.pytorch.demos import Transformer, WikiText2
from lightning.pytorch.strategies import ModelParallelStrategy
from torch.distributed._composable.fsdp.fully_shard import fully_shard
from torch.utils.data import DataLoader
from torchao.float8 import Float8LinearConfig, convert_to_float8_training
class LanguageModel(L.LightningModule):
def init(self, vocab_size):
super().init()
self.vocab_size = vocab_size
self.model = None
def configure_model(self):
    if self.model is not None:
        return
with torch.device(&amp;quot;meta&amp;quot;):
    model = Transformer(
        vocab_size=self.vocab_size,
        nlayers=16,
        nhid=4096,
        ninp=1024,
        nhead=32,
    )

float8_config = Float8LinearConfig(
    # pip install -U --index-url https://aiinfra.pkgs.visualstudio.com/PublicPackages/_packaging/Triton-Nightly/pypi/simple/ triton-nightly  # noqa


</tr></table>

... (truncated)

Commits

Updates loguru from 0.7.2 to 0.7.3

Release notes

Sourced from loguru's releases.

0.7.3

  • Fix Cython incompatibility caused by the absence of underlying stack frames, which resulted in a ValueError during logging (#88).
  • Fix possible RuntimeError when removing all handlers with logger.remove() due to thread-safety issue (#1183, thanks @​jeremyk).
  • Fix diagnose=True option of exception formatting not working as expected with Python 3.13 (#1235, thanks @​etianen).
  • Fix non-standard level names not fully compatible with logging.Formatter() (#1231, thanks @​yechielb2000).
  • Fix inability to display a literal "\" immediately before color markups (#988).
  • Fix possible infinite recursion when an exception is raised from a __repr__ method decorated with logger.catch() (#1044).
  • Improve performance of datetime formatting while logging messages (#1201, thanks @​trim21).
  • Reduce startup time in the presence of installed but unused IPython third-party library (#1001, thanks @​zakstucke).
Changelog

Sourced from loguru's changelog.

0.7.3_ (2024-12-06)

  • Fix Cython incompatibility caused by the absence of underlying stack frames, which resulted in a ValueError during logging ([#88](https://github.com/Delgan/loguru/issues/88) <https://github.com/Delgan/loguru/issues/88>_).
  • Fix possible RuntimeError when removing all handlers with logger.remove() due to thread-safety issue ([#1183](https://github.com/Delgan/loguru/issues/1183) <https://github.com/Delgan/loguru/issues/1183>, thanks @jeremyk <https://github.com/jeremyk>).
  • Fix diagnose=True option of exception formatting not working as expected with Python 3.13 ([#1235](https://github.com/Delgan/loguru/issues/1235) <https://github.com/Delgan/loguru/issues/1235>, thanks @etianen <https://github.com/etianen>).
  • Fix non-standard level names not fully compatible with logging.Formatter() ([#1231](https://github.com/Delgan/loguru/issues/1231) <https://github.com/Delgan/loguru/issues/1231>, thanks @yechielb2000 <https://github.com/yechielb2000>).
  • Fix inability to display a literal "\" immediately before color markups ([#988](https://github.com/Delgan/loguru/issues/988) <https://github.com/Delgan/loguru/issues/988>_).
  • Fix possible infinite recursion when an exception is raised from a __repr__ method decorated with logger.catch() ([#1044](https://github.com/Delgan/loguru/issues/1044) <https://github.com/Delgan/loguru/issues/1044>_).
  • Improve performance of datetime formatting while logging messages ([#1201](https://github.com/Delgan/loguru/issues/1201) <https://github.com/Delgan/loguru/issues/1201>, thanks @trim21 <https://github.com/trim21>).
  • Reduce startup time in the presence of installed but unused IPython third-party library ([#1001](https://github.com/Delgan/loguru/issues/1001) <https://github.com/Delgan/loguru/issues/1001>, thanks @zakstucke <https://github.com/zakstucke>).
Commits
  • ae3bfd1 Bump version to 0.7.3
  • ccca356 Replace "notifiers" (seems unmaintained) with "apprise" in docs (#1251)
  • a372814 Configure "trusted publishing" in Github workflow
  • 633016d Use tox to define the "release" command
  • ef12cbb Convert README from RST to MD (fix PyPI packaging)
  • cb3314a Add Github action to verify packaging
  • 6161a13 Complete the "Troubleshooting" docs with more examples
  • 7f5001f Simplify the example of dynamic handler level
  • 2e0cd7b Move "Introduction to logging" docs to a new section
  • 72b93d1 Correct outdated instructions for reporting a vulnerability
  • Additional commits viewable in compare view

Updates mlflow from 2.17.0 to 2.19.0

Release notes

Sourced from mlflow's releases.

MLflow 2.19.0

We are excited to announce the release of MLflow 2.19.0! This release includes a number of significant features, enhancements, and bug fixes.

Major New Features

  • ChatModel enhancements - ChatModel now adopts ChatCompletionRequest and ChatCompletionResponse as its new schema. The predict_stream interface uses ChatCompletionChunk to deliver true streaming responses. Additionally, the custom_inputs and custom_outputs fields in ChatModel now utilize AnyType, enabling support for a wider variety of data types. Note: In a future version of MLflow, ChatParams (and by extension, ChatCompletionRequest) will have the default values for n, temperature, and stream removed. (#13782, #13857, @​stevenchen-db)

  • Tracing improvements - MLflow Tracing now supports both automatic and manual tracing for DSPy, LlamaIndex and Langchain flavors. Tracing feature is also auto-enabled for mlflow evaluation for all supported flavors. (#13790, #13793, #13795, #13897, @​B-Step62)

  • New Tracing Integrations - MLflow Tracing now supports CrewAI and Anthropic, enabling a one-line, fully automated tracing experience. (#13903, @​TomeHirata, #13851, @​gabrielfu)

  • Any Type in model signature - MLflow now supports AnyType in model signature. It can be used to host any data types that were not supported before. (#13766, @​serena-ruan)

Other Features:

  • [Tracking] Add update_current_trace API for adding tags to an active trace. (#13828, @​B-Step62)
  • [Deployments] Update databricks deployments to support AI gateway & additional update endpoints (#13513, @​djliden)
  • [Models] Support uv in mlflow.models.predict (#13824, @​serena-ruan)
  • [Models] Add type hints support including pydantic models (#13924, @​serena-ruan)
  • [Tracking] Add the trace.search_spans() method for searching spans within traces (#13984, @​B-Step62)

Bug fixes:

Documentation updates:

Small bug fixes and documentation updates:

#13972, #13968, #13917, #13912, #13906, #13846, @​serena-ruan; #13969, #13959, #13957, #13958, #13925, #13882, #13879, #13881, #13869, #13870, #13868, #13854, #13849, #13847, #13836, #13823, #13811, #13820, #13775, #13768, #13764, @​harupy; #13960, #13914, #13862, #13892, #13916, #13918, #13915, #13878, #13891, #13863, #13859, #13850, #13844, #13835, #13818, #13762, @​B-Step62; #13913, #13848, #13774, @​TomeHirata; #13936, #13954, #13883, @​daniellok-db; #13947, @​AHB102; #13929, #13922, @​Ajay-Satish-01; #13857, @​stevenchen-db; #13773, @​BenWilson2; #13705, @​williamjamir; #13745, #13743, @​WeichenXu123; #13895, @​chenmoneygithub; #14023, @​theBeginner86

MLflow 2.19.0rc0

We are excited to announce the release of MLflow 2.19.0rc0! This release includes a number of significant features, enhancements, and bug fixes.

Major New Features

  • ChatModel enhancements - ChatModel now adopts ChatCompletionRequest and ChatCompletionResponse as its new schema. The predict_stream interface uses ChatCompletionChunk to deliver true streaming responses. Additionally, the custom_inputs and custom_outputs fields in ChatModel now utilize AnyType, enabling support for a wider variety of data types. (#13782, #13857, @​stevenchen-db)
  • Any Type in model signature - MLflow now supports AnyType in model signature. It can be used to host any data types that were not supported before. (#13766, @​serena-ruan)
  • Tracing improvements - MLflow Tracing now supports both automatic and manual tracing for DSPy, LlamaIndex and Langchain flavors. Tracing feature is also auto-enabled for mlflow evaluation for all supported flavors. (#13790, #13793, #13795, #13897, @​B-Step62)
  • New Tracing Integrations - MLflow Tracing now supports CrewAI and Anthropic, enabling a one-line, fully automated tracing experience. (#13903, @​TomeHirata, #13851, @​gabrielfu)

... (truncated)

Changelog

Sourced from mlflow's changelog.

2.19.0 (2024-12-11)

We are excited to announce the release of MLflow 2.19.0! This release includes a number of significant features, enhancements, and bug fixes.

Major New Features

  • ChatModel enhancements - ChatModel now adopts ChatCompletionRequest and ChatCompletionResponse as its new schema. The predict_stream interface uses ChatCompletionChunk to deliver true streaming responses. Additionally, the custom_inputs and custom_outputs fields in ChatModel now utilize AnyType, enabling support for a wider variety of data types. Note: In a future version of MLflow, ChatParams (and by extension, ChatCompletionRequest) will have the default values for n, temperature, and stream removed. (#13782, #13857, @​stevenchen-db)

  • Tracing improvements - MLflow Tracing now supports both automatic and manual tracing for DSPy, LlamaIndex and Langchain flavors. Tracing feature is also auto-enabled for mlflow evaluation for all supported flavors. (#13790, #13793, #13795, #13897, @​B-Step62)

  • New Tracing Integrations - MLflow Tracing now supports CrewAI and Anthropic, enabling a one-line, fully automated tracing experience. (#13903, @​TomeHirata, #13851, @​gabrielfu)

  • Any Type in model signature - MLflow now supports AnyType in model signature. It can be used to host any data types that were not supported before. (#13766, @​serena-ruan)

Other Features:

  • [Tracking] Add update_current_trace API for adding tags to an active trace. (#13828, @​B-Step62)
  • [Deployments] Update databricks deployments to support AI gateway & additional update endpoints (#13513, @​djliden)
  • [Models] Support uv in mlflow.models.predict (#13824, @​serena-ruan)
  • [Models] Add type hints support including pydantic models (#13924, @​serena-ruan)
  • [Tracking] Add the trace.search_spans() method for searching spans within traces (#13984,

@dependabot
build(pip): bump the pip group across 1 directory with 13 updates
7b2f220 
Bumps the pip group with 13 updates in the / directory:

| Package | From | To |
| --- | --- | --- |
| [bentoml](https://github.com/bentoml/bentoml) | `1.3.9` | `1.3.19` |
| [flaml](https://github.com/microsoft/FLAML) | `2.3.1` | `2.3.3` |
| [jsonargparse](https://github.com/omni-us/jsonargparse) | `4.33.2` | `4.35.0` |
| [lancedb](https://github.com/lancedb/lancedb) | `0.14.0` | `0.17.0` |
| [lightning](https://github.com/Lightning-AI/lightning) | `2.4.0` | `2.5.0.post0` |
| [loguru](https://github.com/Delgan/loguru) | `0.7.2` | `0.7.3` |
| [mlflow](https://github.com/mlflow/mlflow) | `2.17.0` | `2.19.0` |
| [numpydantic](https://github.com/p2p-ld/numpydantic) | `1.6.4` | `1.6.6` |
| [onnxscript](https://github.com/microsoft/onnxscript) | `0.1.0.dev20241016` | `0.1.0.dev20250106` |
| [onnxruntime](https://github.com/microsoft/onnxruntime) | `1.19.2` | `1.20.1` |
| [polars](https://github.com/pola-rs/polars) | `1.9.0` | `1.19.0` |
| [ray](https://github.com/ray-project/ray) | `2.37.0` | `2.40.0` |
| [ruff](https://github.com/astral-sh/ruff) | `0.6.9` | `0.8.6` |



Updates `bentoml` from 1.3.9 to 1.3.19
- [Release notes](https://github.com/bentoml/bentoml/releases)
- [Commits](bentoml/BentoML@v1.3.9...v1.3.19)

Updates `flaml` from 2.3.1 to 2.3.3
- [Release notes](https://github.com/microsoft/FLAML/releases)
- [Commits](microsoft/FLAML@v2.3.1...v2.3.3)

Updates `jsonargparse` from 4.33.2 to 4.35.0
- [Changelog](https://github.com/omni-us/jsonargparse/blob/main/CHANGELOG.rst)
- [Commits](omni-us/jsonargparse@v4.33.2...v4.35.0)

Updates `lancedb` from 0.14.0 to 0.17.0
- [Release notes](https://github.com/lancedb/lancedb/releases)
- [Changelog](https://github.com/lancedb/lancedb/blob/main/release_process.md)
- [Commits](lancedb/lancedb@v0.14.0...python-v0.17.0)

Updates `lightning` from 2.4.0 to 2.5.0.post0
- [Release notes](https://github.com/Lightning-AI/lightning/releases)
- [Commits](Lightning-AI/pytorch-lightning@2.4.0...2.5.0.post0)

Updates `loguru` from 0.7.2 to 0.7.3
- [Release notes](https://github.com/Delgan/loguru/releases)
- [Changelog](https://github.com/Delgan/loguru/blob/master/CHANGELOG.rst)
- [Commits](Delgan/loguru@0.7.2...0.7.3)

Updates `mlflow` from 2.17.0 to 2.19.0
- [Release notes](https://github.com/mlflow/mlflow/releases)
- [Changelog](https://github.com/mlflow/mlflow/blob/master/CHANGELOG.md)
- [Commits](mlflow/mlflow@v2.17.0...v2.19.0)

Updates `numpydantic` from 1.6.4 to 1.6.6
- [Release notes](https://github.com/p2p-ld/numpydantic/releases)
- [Changelog](https://github.com/p2p-ld/numpydantic/blob/main/docs/changelog.md)
- [Commits](p2p-ld/numpydantic@v1.6.4...v1.6.6)

Updates `onnxscript` from 0.1.0.dev20241016 to 0.1.0.dev20250106
- [Commits](https://github.com/microsoft/onnxscript/commits)

Updates `onnxruntime` from 1.19.2 to 1.20.1
- [Release notes](https://github.com/microsoft/onnxruntime/releases)
- [Changelog](https://github.com/microsoft/onnxruntime/blob/main/docs/ReleaseManagement.md)
- [Commits](microsoft/onnxruntime@v1.19.2...v1.20.1)

Updates `polars` from 1.9.0 to 1.19.0
- [Release notes](https://github.com/pola-rs/polars/releases)
- [Commits](pola-rs/polars@py-1.9.0...py-1.19.0)

Updates `ray` from 2.37.0 to 2.40.0
- [Release notes](https://github.com/ray-project/ray/releases)
- [Commits](ray-project/ray@ray-2.37.0...ray-2.40.0)

Updates `ruff` from 0.6.9 to 0.8.6
- [Release notes](https://github.com/astral-sh/ruff/releases)
- [Changelog](https://github.com/astral-sh/ruff/blob/main/CHANGELOG.md)
- [Commits](astral-sh/ruff@0.6.9...0.8.6)

---
updated-dependencies:
- dependency-name: bentoml
  dependency-type: direct:production
  update-type: version-update:semver-patch
  dependency-group: pip
- dependency-name: flaml
  dependency-type: direct:production
  update-type: version-update:semver-patch
  dependency-group: pip
- dependency-name: jsonargparse
  dependency-type: direct:production
  update-type: version-update:semver-minor
  dependency-group: pip
- dependency-name: lancedb
  dependency-type: direct:production
  update-type: version-update:semver-minor
  dependency-group: pip
- dependency-name: lightning
  dependency-type: direct:production
  update-type: version-update:semver-minor
  dependency-group: pip
- dependency-name: loguru
  dependency-type: direct:production
  update-type: version-update:semver-patch
  dependency-group: pip
- dependency-name: mlflow
  dependency-type: direct:production
  update-type: version-update:semver-minor
  dependency-group: pip
- dependency-name: numpydantic
  dependency-type: direct:production
  update-type: version-update:semver-patch
  dependency-group: pip
- dependency-name: onnxscript
  dependency-type: direct:production
  update-type: version-update:semver-patch
  dependency-group: pip
- dependency-name: onnxruntime
  dependency-type: direct:production
  update-type: version-update:semver-minor
  dependency-group: pip
- dependency-name: polars
  dependency-type: direct:production
  update-type: version-update:semver-minor
  dependency-group: pip
- dependency-name: ray
  dependency-type: direct:production
  update-type: version-update:semver-minor
  dependency-group: pip
- dependency-name: ruff
  dependency-type: direct:development
  update-type: version-update:semver-minor
  dependency-group: pip
...

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dependabot bot commented on behalf of github Jan 13, 2025

Superseded by #127.

@dependabot dependabot bot closed this Jan 13, 2025
@dependabot dependabot bot deleted the dependabot/pip/pip-03f1192bbf branch January 13, 2025 05:11
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