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chore(deps): bump the pip group across 1 directory with 8 updates #32

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chore(deps): bump the pip group across 1 directory with 8 updates #32

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@dependabot dependabot bot commented on behalf of github May 16, 2024

Bumps the pip group with 8 updates in the / directory:

Package From To
mlflow 2.10.2 2.12.1
prefect 2.16.2 2.16.5
aiohttp 3.9.3 3.9.4
idna 3.6 3.7
langchain-core 0.1.27 0.1.35
pillow 10.2.0 10.3.0
sqlparse 0.4.4 0.5.0
tqdm 4.66.1 4.66.3

Updates mlflow from 2.10.2 to 2.12.1

Release notes

Sourced from mlflow's releases.

MLflow 2.12.1 includes several major features and improvements

With this release, we're pleased to introduce several major new features that are focused on enhanced GenAI support, Deep Learning workflows involving images, expanded table logging functionality, and general usability enhancements within the UI and external integrations.

Major Features and Improvements:

  • PromptFlow: Introducing the new PromptFlow flavor, designed to enrich the GenAI landscape within MLflow. This feature simplifies the creation and management of dynamic prompts, enhancing user interaction with AI models and streamlining prompt engineering processes. (#11311, #11385 @​brynn-code)

  • Enhanced Metadata Sharing for Unity Catalog: MLflow now supports the ability to share metadata (and not model weights) within Databricks Unity Catalog. When logging a model, this functionality enables the automatic duplication of metadata into a dedicated subdirectory, distinct from the model’s actual storage location, allowing for different sharing permissions and access control limits. (#11357, #11720 @​WeichenXu123)

  • Code Paths Unification and Standardization: We have unified and standardized the code_paths parameter across all MLflow flavors to ensure a cohesive and streamlined user experience. This change promotes consistency and reduces complexity in the model deployment lifecycle. (#11688, @​BenWilson2)

  • ChatOpenAI and AzureChatOpenAI Support: Support for the ChatOpenAI and AzureChatOpenAI interfaces has been integrated into the LangChain flavor, facilitating seamless deployment of conversational AI models. This development opens new doors for building sophisticated and responsive chat applications leveraging cutting-edge language models. (#11644, @​B-Step62)

  • Custom Models in Sentence-Transformers: The sentence-transformers flavor now supports custom models, allowing for a greater flexibility in deploying tailored NLP solutions. (#11635, @​B-Step62)

  • Native MLflow Image support in the log_image API: Added support for optimized image logging, including step-based iterative logging for images generated as part of a training run. This feature enables the ability to track your image generation, classification, segmentation, enhancement and object detection deep learning models effortlessly. (#11243, #11404, @​jessechancy)

  • Image Support for Log Table: With the addition of image support in log_table, MLflow enhances its capabilities in handling rich media. This functionality allows for direct logging and visualization of images within the platform, improving the interpretability and analysis of visual data. (#11535, @​jessechancy)

  • Streaming Support for LangChain: The newly introduced predict_stream API for LangChain models supports streaming outputs, enabling real-time output for chain invocation via pyfunc. This feature is pivotal for applications requiring continuous data processing and instant feedback. (#11490, #11580 @​WeichenXu123)

Security Fixes:

  • Security Patch: Addressed a critical Local File Read/Path Traversal vulnerability within the Model Registry, ensuring robust protection against unauthorized access and securing user data integrity. (#11376, @​WeichenXu123)

Features:

  • [Models] Add the PromptFlow flavor (#11311, #11385 @​brynn-code)
  • [Models] Add a new predict_stream API for streamable output for Langchain models and the DatabricksDeploymentClient (#11490, #11580 @​WeichenXu123)
  • [Models] Deprecate and add code_paths alias for code_path in pyfunc to be standardized to other flavor implementations (#11688, @​BenWilson2)
  • [Models] Add support for custom models within the sentence-transformers flavor (#11635, @​B-Step62)
  • [Models] Enable Spark MapType support within model signatures when used with Spark udf inference (#11265, @​WeichenXu123)
  • [Models] Add support for metadata-only sharing within Unity Catalog through the use of a subdirectory (#11357, #11720 @​WeichenXu123)
  • [Models] Add Support for the ChatOpenAI and AzureChatOpenAI LLM interfaces within the LangChain flavor (#11644, @​B-Step62)
  • [Artifacts] Add support for utilizing presigned URLs when uploading and downloading files when using Unity Catalog (#11534, @​artjen)
  • [Artifacts] Add a new Image object for handling the logging and optimized compression of images (#11404, @​jessechancy)
  • [Artifacts] Add time and step-based metadata to the logging of images (#11243, @​jessechancy)
  • [Artifacts] Add the ability to log a dataset to Unity Catalog by means of UCVolumeDatasetSource (#11301, @​chenmoneygithub)
  • [Tracking] Remove the restrictions for logging a table in Delta format to no longer require running within a Databricks environment (#11521, @​chenmoneygithub)
  • [Tracking] Add support for logging mlflow.Image files within tables (#11535, @​jessechancy)
  • [Server-infra] Introduce override configurations for controlling how http retries are handled (#11590, @​BenWilson2)
  • [Deployments] Implement chat & chat streaming for Anthropic within the MLflow deployments server (#11195, @​gabrielfu)

Security fixes:

Bug fixes:

... (truncated)

Changelog

Sourced from mlflow's changelog.

2.12.1 (2024-04-17)

MLflow 2.12.1 includes several major features and improvements

With this release, we're pleased to introduce several major new features that are focused on enhanced GenAI support, Deep Learning workflows involving images, expanded table logging functionality, and general usability enhancements within the UI and external integrations.

Major Features and Improvements:

  • PromptFlow: Introducing the new PromptFlow flavor, designed to enrich the GenAI landscape within MLflow. This feature simplifies the creation and management of dynamic prompts, enhancing user interaction with AI models and streamlining prompt engineering processes. (#11311, #11385 @​brynn-code)

  • Enhanced Metadata Sharing for Unity Catalog: MLflow now supports the ability to share metadata (and not model weights) within Databricks Unity Catalog. When logging a model, this functionality enables the automatic duplication of metadata into a dedicated subdirectory, distinct from the model’s actual storage location, allowing for different sharing permissions and access control limits. (#11357, #11720 @​WeichenXu123)

  • Code Paths Unification and Standardization: We have unified and standardized the code_paths parameter across all MLflow flavors to ensure a cohesive and streamlined user experience. This change promotes consistency and reduces complexity in the model deployment lifecycle. (#11688, @​BenWilson2)

  • ChatOpenAI and AzureChatOpenAI Support: Support for the ChatOpenAI and AzureChatOpenAI interfaces has been integrated into the LangChain flavor, facilitating seamless deployment of conversational AI models. This development opens new doors for building sophisticated and responsive chat applications leveraging cutting-edge language models. (#11644, @​B-Step62)

  • Custom Models in Sentence-Transformers: The sentence-transformers flavor now supports custom models, allowing for a greater flexibility in deploying tailored NLP solutions. (#11635, @​B-Step62)

  • Image Support for Log Table: With the addition of image support in log_table, MLflow enhances its capabilities in handling rich media. This functionality allows for direct logging and visualization of images within the platform, improving the interpretability and analysis of visual data. (#11535, @​jessechancy)

  • Streaming Support for LangChain: The newly introduced predict_stream API for LangChain models supports streaming outputs, enabling real-time output for chain invocation via pyfunc. This feature is pivotal for applications requiring continuous data processing and instant feedback. (#11490, #11580 @​WeichenXu123)

Security Fixes:

  • Security Patch: Addressed a critical Local File Read/Path Traversal vulnerability within the Model Registry, ensuring robust protection against unauthorized access and securing user data integrity. (#11376, @​WeichenXu123)

Features:

  • [Models] Add the PromptFlow flavor (#11311, #11385 @​brynn-code)
  • [Models] Add a new predict_stream API for streamable output for Langchain models and the DatabricksDeploymentClient (#11490, #11580 @​WeichenXu123)
  • [Models] Deprecate and add code_paths alias for code_path in pyfunc to be standardized to other flavor implementations (#11688, @​BenWilson2)
  • [Models] Add support for custom models within the sentence-transformers flavor (#11635, @​B-Step62)
  • [Models] Enable Spark MapType support within model signatures when used with Spark udf inference (#11265, @​WeichenXu123)
  • [Models] Add support for metadata-only sharing within Unity Catalog through the use of a subdirectory (#11357, #11720 @​WeichenXu123)
  • [Models] Add Support for the ChatOpenAI and AzureChatOpenAI LLM interfaces within the LangChain flavor (#11644, @​B-Step62)
  • [Artifacts] Add support for utilizing presigned URLs when uploading and downloading files when using Unity Catalog (#11534, @​artjen)
  • [Artifacts] Add a new Image object for handling the logging and optimized compression of images (#11404, @​jessechancy)
  • [Artifacts] Add time and step-based metadata to the logging of images (#11243, @​jessechancy)
  • [Artifacts] Add the ability to log a dataset to Unity Catalog by means of UCVolumeDatasetSource (#11301, @​chenmoneygithub)
  • [Tracking] Remove the restrictions for logging a table in Delta format to no longer require running within a Databricks environment (#11521, @​chenmoneygithub)
  • [Tracking] Add support for logging mlflow.Image files within tables (#11535, @​jessechancy)
  • [Server-infra] Introduce override configurations for controlling how http retries are handled (#11590, @​BenWilson2)
  • [Deployments] Implement chat & chat streaming for Anthropic within the MLflow deployments server (#11195, @​gabrielfu)

Security fixes:

Bug fixes:

... (truncated)

Commits

Updates prefect from 2.16.2 to 2.16.5

Release notes

Sourced from prefect's releases.

Release 2.16.5

Multi-select deletion of flow runs

It is now easier to bulk select and delete flow runs through the UI. Listings of filterable and selectable flow runs (e.g. on the flow runs, flow, and deployment pages) now include a top-level checkbox for (de)selecting all currently filtered flow runs for bulk deletion.

image

See the following pull request for implementation details:

Visualize state changes and artifacts in the UI

Additionally, the flow run graph UI enhancements for visualizing state changes and artifacts added in 2.16.4 are now enabled by default. See the release notes in 2.16.4 for more details!

Full Changelog: PrefectHQ/prefect@2.16.4...2.16.5

See the release notes for more!

Release 2.16.4

Flow Run Graph updates

The Flow Run Graph has been updated to display additional layers of information! Interactive and real-time state changes and artifacts are now visible in context on the graph.

These new layers are available for opt-in usage via the PREFECT_EXPERIMENTAL_ENABLE_ARTIFACTS_ON_FLOW_RUN_GRAPH and PREFECT_EXPERIMENTAL_ENABLE_STATES_ON_FLOW_RUN_GRAPH settings.

Agents

A year ago, we released workers as a replacement for agents. Workers significantly enhance the experience of deploying flows and simplify the specification of each flow's infrastructure and runtime environment.

With this release we are adding a six month (September 14) deprecation warning to agents and related concepts. Please note that:

  • Deprecation will not impact or break any work running with agents and agent-related concepts - although we encourage users to upgrade to workers because they provide a better deployment experience, you can continue to use existing agents and related concepts after deprecation
  • After September 14, Prefect Cloud users will not be able to create new agent work pools or infrastructure blocks
  • After September 14, new minor versions of the Prefect Python package will not include agents

Like agents, workers support creating deployments through the Prefect CLI and through Python, but require different syntax. For more information, please refer to the Upgrade from Agents to Workers guide.

Enhancements

Fixes

... (truncated)

Changelog

Sourced from prefect's changelog.

Release 2.16.5

Multi-select deletion of flow runs

It is now easier to bulk select and delete flow runs through the UI. Listings of filterable and selectable flow runs (e.g. on the flow runs, flow, and deployment pages) now include a top-level checkbox for (de)selecting all currently filtered flow runs for bulk deletion.

image

See the following pull request for implementation details:

Visualize state changes and artifacts in the UI

Additionally, the flow run graph UI enhancements for visualizing state changes and artifacts added in 2.16.4 are now enabled by default. See the release notes in 2.16.14 for more details!

Enhancements

Fixes

Experimental

Documentation

Uncategorized

Contributors

... (truncated)

Commits
  • 6d0ad74 Add release notes for 2.16.5 (#12383)
  • 6ef2190 Revert "Enhancement: Base client retry on 500 (#12084)" (#12385)
  • 20612b5 CSRF is defaulting to False for now (#12386)
  • 7193e1e Add experimental model_json_schema function for Pydantic V2 compatibility (...
  • b2df34d Attempt to fix agent/work queue test CI flakes (#12375)
  • 6e1886e Feature : #11773 UI: Add checkboxes for runs for an indivdual flow to allow m...
  • c962546 Backporting the Prefect Cloud composite trigger schemas (#12378)
  • 9e79cdc Add a line about appropriate settings for flow run graph layers. (#12380)
  • c2416f0 add a capability to verify ssl certificate in Prefect CLI (#11771)
  • 1ea9e0e Update @​prefecthq/prefect-ui-library to version 2.6.46 (#12379)
  • Additional commits viewable in compare view

Updates aiohttp from 3.9.3 to 3.9.4

Release notes

Sourced from aiohttp's releases.

3.9.4

Bug fixes

  • The asynchronous internals now set the underlying causes when assigning exceptions to the future objects -- by :user:webknjaz.

    Related issues and pull requests on GitHub: #8089.

  • Treated values of Accept-Encoding header as case-insensitive when checking for gzip files -- by :user:steverep.

    Related issues and pull requests on GitHub: #8104.

  • Improved the DNS resolution performance on cache hit -- by :user:bdraco.

    This is achieved by avoiding an :mod:asyncio task creation in this case.

    Related issues and pull requests on GitHub: #8163.

  • Changed the type annotations to allow dict on :meth:aiohttp.MultipartWriter.append, :meth:aiohttp.MultipartWriter.append_json and :meth:aiohttp.MultipartWriter.append_form -- by :user:cakemanny

    Related issues and pull requests on GitHub: #7741.

  • Ensure websocket transport is closed when client does not close it -- by :user:bdraco.

    The transport could remain open if the client did not close it. This change ensures the transport is closed when the client does not close it.

... (truncated)

Changelog

Sourced from aiohttp's changelog.

3.9.4 (2024-04-11)

Bug fixes

  • The asynchronous internals now set the underlying causes when assigning exceptions to the future objects -- by :user:webknjaz.

    Related issues and pull requests on GitHub: :issue:8089.

  • Treated values of Accept-Encoding header as case-insensitive when checking for gzip files -- by :user:steverep.

    Related issues and pull requests on GitHub: :issue:8104.

  • Improved the DNS resolution performance on cache hit -- by :user:bdraco.

    This is achieved by avoiding an :mod:asyncio task creation in this case.

    Related issues and pull requests on GitHub: :issue:8163.

  • Changed the type annotations to allow dict on :meth:aiohttp.MultipartWriter.append, :meth:aiohttp.MultipartWriter.append_json and :meth:aiohttp.MultipartWriter.append_form -- by :user:cakemanny

    Related issues and pull requests on GitHub: :issue:7741.

  • Ensure websocket transport is closed when client does not close it -- by :user:bdraco.

    The transport could remain open if the client did not close it. This change ensures the transport is closed when the client does not close it.

... (truncated)

Commits

Updates idna from 3.6 to 3.7

Release notes

Sourced from idna's releases.

v3.7

What's Changed

  • Fix issue where specially crafted inputs to encode() could take exceptionally long amount of time to process. [CVE-2024-3651]

Thanks to Guido Vranken for reporting the issue.

Full Changelog: kjd/idna@v3.6...v3.7

Changelog

Sourced from idna's changelog.

3.7 (2024-04-11) ++++++++++++++++

  • Fix issue where specially crafted inputs to encode() could take exceptionally long amount of time to process. [CVE-2024-3651]

Thanks to Guido Vranken for reporting the issue.

Commits
  • 1d365e1 Release v3.7
  • c1b3154 Merge pull request #172 from kjd/optimize-contextj
  • 0394ec7 Merge branch 'master' into optimize-contextj
  • cd58a23 Merge pull request #152 from elliotwutingfeng/dev
  • 5beb28b More efficient resolution of joiner contexts
  • 1b12148 Update ossf/scorecard-action to v2.3.1
  • d516b87 Update Github actions/checkout to v4
  • c095c75 Merge branch 'master' into dev
  • 60a0a4c Fix typo in GitHub Actions workflow key
  • 5918a0e Merge branch 'master' into dev
  • Additional commits viewable in compare view

Updates langchain-core from 0.1.27 to 0.1.35

Commits

Updates pillow from 10.2.0 to 10.3.0

Release notes

Sourced from pillow's releases.

10.3.0

https://pillow.readthedocs.io/en/stable/releasenotes/10.3.0.html

Changes

... (truncated)

Changelog

Sourced from pillow's changelog.

10.3.0 (2024-04-01)

  • CVE-2024-28219: Use strncpy to avoid buffer overflow #7928 [radarhere, hugovk]

  • Deprecate eval(), replacing it with lambda_eval() and unsafe_eval() #7927 [radarhere, hugovk]

  • Raise ValueError if seeking to greater than offset-sized integer in TIFF #7883 [radarhere]

  • Add --report argument to __main__.py to omit supported formats #7818 [nulano, radarhere, hugovk]

  • Added RGB to I;16, I;16L, I;16B and I;16N conversion #7918, #7920 [radarhere]

  • Fix editable installation with custom build backend and configuration options #7658 [nulano, radarhere]

  • Fix putdata() for I;16N on big-endian #7209 [Yay295, hugovk, radarhere]

  • Determine MPO size from markers, not EXIF data #7884 [radarhere]

  • Improved conversion from RGB to RGBa, LA and La #7888 [radarhere]

  • Support FITS images with GZIP_1 compression #7894 [radarhere]

  • Use I;16 mode for 9-bit JPEG 2000 images #7900 [scaramallion, radarhere]

  • Raise ValueError if kmeans is negative #7891 [radarhere]

  • Remove TIFF tag OSUBFILETYPE when saving using libtiff #7893 [radarhere]

  • Raise ValueError for negative values when loading P1-P3 PPM images #7882 [radarhere]

  • Added reading of JPEG2000 palettes #7870 [radarhere]

  • Added alpha_quality argument when saving WebP images #7872 [radarhere]

... (truncated)

Commits
  • 5c89d88 10.3.0 version bump
  • 63cbfcf Update CHANGES.rst [ci skip]
  • 2776126 Merge pull request #7928 from python-pillow/lcms
  • aeb51cb Merge branch 'main' into lcms
  • 5beb0b6 Update CHANGES.rst [ci skip]
  • cac6ffa Merge pull request #7927 from python-pillow/imagemath
  • f5eeeac Name as 'options' in lambda_eval and unsafe_eval, but '_dict' in deprecated eval
  • facf3af Added release notes
  • 2a93aba Use strncpy to avoid buffer overflow
  • a670597 Update CHANGES.rst [ci skip]
  • Additional commits viewable in compare view

Updates sqlparse from 0.4.4 to 0.5.0

Changelog

Sourced from sqlparse's changelog.

Release 0.5.0 (Apr 13, 2024)

Notable Changes

  • Drop support for Python 3.5, 3.6, and 3.7.
  • Python 3.12 is now supported (pr725, by hugovk).
  • IMPORTANT: Fixes a potential denial of service attack (DOS) due to recursion error for deeply nested statements. Instead of recursion error a generic SQLParseError is raised. See the security advisory for details: GHSA-2m57-hf25-phgg The vulnerability was discovered by @​uriyay-jfrog. Thanks for reporting!

Enhancements:

  • Splitting statements now allows to remove the semicolon at the end. Some database backends love statements without semicolon (issue742).
  • Support TypedLiterals in get_parameters (pr749, by Khrol).
  • Improve splitting of Transact SQL when using GO keyword (issue762).
  • Support for some JSON operators (issue682).
  • Improve formatting of statements containing JSON operators (issue542).
  • Support for BigQuery and Snowflake keywords (pr699, by griffatrasgo).
  • Support parsing of OVER clause (issue701, pr768 by r33s3n6).

Bug Fixes

  • Ignore dunder attributes when creating Tokens (issue672).
  • Allow operators to precede dollar-quoted strings (issue763).
  • Fix parsing of nested order clauses (issue745, pr746 by john-bodley).
  • Thread-safe initialization of Lexer class (issue730).
  • Classify TRUNCATE as DDL and GRANT/REVOKE as DCL keywords (based on pr719 by josuc1, thanks for bringing this up!).
  • Fix parsing of PRIMARY KEY (issue740).

Other

  • Optimize performance of matching function (pr799, by admachainz).
Commits
  • ddbd0ec Bump version.
  • 29f2e0a Raise recursion limit for tests.
  • b4a39d9 Raise SQLParseError instead of RecursionError.
  • f1bcf2f Update AUHTORS and Changelog.
  • e03b74e Fix Function.get_parameters(), add Funtion.get_window()
  • 617b8f6 Add OVER clause, and group it into Function (fixes #701)
  • d8f8147 Update AUHTORS and Changelog.
  • 012c9f1 Optimize sqlparse.utils.imt().
  • 46971e5 Fix parsing of PRIMARY KEY (fixes #740).
  • fc4b0be Code cleanup.
  • Additional commits viewable in compare view

Updates tqdm from 4.66.1 to 4.66.3

Release notes

Sourced from tqdm's releases.

Description has been truncated

@dependabot
chore(deps): bump the pip group across 1 directory with 8 updates
5cdc54b 
Bumps the pip group with 8 updates in the / directory:

| Package | From | To |
| --- | --- | --- |
| [mlflow](https://github.com/mlflow/mlflow) | `2.10.2` | `2.12.1` |
| [prefect](https://github.com/PrefectHQ/prefect) | `2.16.2` | `2.16.5` |
| [aiohttp](https://github.com/aio-libs/aiohttp) | `3.9.3` | `3.9.4` |
| [idna](https://github.com/kjd/idna) | `3.6` | `3.7` |
| [langchain-core](https://github.com/langchain-ai/langchain) | `0.1.27` | `0.1.35` |
| [pillow](https://github.com/python-pillow/Pillow) | `10.2.0` | `10.3.0` |
| [sqlparse](https://github.com/andialbrecht/sqlparse) | `0.4.4` | `0.5.0` |
| [tqdm](https://github.com/tqdm/tqdm) | `4.66.1` | `4.66.3` |



Updates `mlflow` from 2.10.2 to 2.12.1
- [Release notes](https://github.com/mlflow/mlflow/releases)
- [Changelog](https://github.com/mlflow/mlflow/blob/master/CHANGELOG.md)
- [Commits](mlflow/mlflow@v2.10.2...v2.12.1)

Updates `prefect` from 2.16.2 to 2.16.5
- [Release notes](https://github.com/PrefectHQ/prefect/releases)
- [Changelog](https://github.com/PrefectHQ/prefect/blob/main/RELEASE-NOTES.md)
- [Commits](PrefectHQ/prefect@2.16.2...2.16.5)

Updates `aiohttp` from 3.9.3 to 3.9.4
- [Release notes](https://github.com/aio-libs/aiohttp/releases)
- [Changelog](https://github.com/aio-libs/aiohttp/blob/master/CHANGES.rst)
- [Commits](aio-libs/aiohttp@v3.9.3...v3.9.4)

Updates `idna` from 3.6 to 3.7
- [Release notes](https://github.com/kjd/idna/releases)
- [Changelog](https://github.com/kjd/idna/blob/master/HISTORY.rst)
- [Commits](kjd/idna@v3.6...v3.7)

Updates `langchain-core` from 0.1.27 to 0.1.35
- [Release notes](https://github.com/langchain-ai/langchain/releases)
- [Commits](https://github.com/langchain-ai/langchain/commits)

Updates `pillow` from 10.2.0 to 10.3.0
- [Release notes](https://github.com/python-pillow/Pillow/releases)
- [Changelog](https://github.com/python-pillow/Pillow/blob/main/CHANGES.rst)
- [Commits](python-pillow/Pillow@10.2.0...10.3.0)

Updates `sqlparse` from 0.4.4 to 0.5.0
- [Changelog](https://github.com/andialbrecht/sqlparse/blob/master/CHANGELOG)
- [Commits](andialbrecht/sqlparse@0.4.4...0.5.0)

Updates `tqdm` from 4.66.1 to 4.66.3
- [Release notes](https://github.com/tqdm/tqdm/releases)
- [Commits](tqdm/tqdm@v4.66.1...v4.66.3)

---
updated-dependencies:
- dependency-name: mlflow
  dependency-type: direct:production
  dependency-group: pip
- dependency-name: prefect
  dependency-type: direct:production
  dependency-group: pip
- dependency-name: aiohttp
  dependency-type: indirect
  dependency-group: pip
- dependency-name: idna
  dependency-type: indirect
  dependency-group: pip
- dependency-name: langchain-core
  dependency-type: indirect
  dependency-group: pip
- dependency-name: pillow
  dependency-type: indirect
  dependency-group: pip
- dependency-name: sqlparse
  dependency-type: indirect
  dependency-group: pip
- dependency-name: tqdm
  dependency-type: indirect
  dependency-group: pip
...

Signed-off-by: dependabot[bot] <[email protected]>
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dependabot bot commented on behalf of github May 21, 2024

Superseded by #33.

@dependabot dependabot bot closed this May 21, 2024
@dependabot dependabot bot deleted the dependabot/pip/pip-352694e5f9 branch May 21, 2024 07:51
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