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Prepare release 0.74.0 (#3345)
* Adding the new version to the necessary files. * finalized release notes * fixing the version --------- Co-authored-by: ZenML GmbH <[email protected]> Co-authored-by: Baris Can Durak <[email protected]>
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README.md

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<a href="https://github.com/zenml-io/zenml-projects">Projects Showcase</a>
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<br />
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<br />
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🎉 Version 0.73.0 is out. Check out the release notes
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🎉 Version 0.74.0 is out. Check out the release notes
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<a href="https://github.com/zenml-io/zenml/releases">here</a>.
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<br />
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🖥️ Download our VS Code Extension <a href="https://marketplace.visualstudio.com/items?itemName=ZenML.zenml-vscode">here</a>.

RELEASE_NOTES.md

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<!-- markdown-link-check-disable -->
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# 0.74.0
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The `0.74.0` release introduces several major features including [SageMaker
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pipeline scheduling capabilities](https://docs.zenml.io/stack-components/orchestrators/sagemaker#scheduling-pipelines),
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[Azure Container Registry (ACR) implicit authentication support](https://docs.zenml.io/stack-components/container-registries/azure#authentication-methods),
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and [Vertex AI persistent resource handling for step operators](https://docs.zenml.io/stack-components/step-operators/vertex#using-persistent-resources-for-faster-development).
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Additionally, this release includes comprehensive improvements
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to timezone handling and significant enhancements to database performance.
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## Features
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- API Tokens support in the dashboard for time-boxed API authentication
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- [SageMaker pipeline scheduling capabilities](https://docs.zenml.io/stack-components/orchestrators/sagemaker#scheduling-pipelines)
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- [Azure Container Registry (ACR) and Storage Account implicit authentication](https://docs.zenml.io/stack-components/container-registries/azure#authentication-methods)
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- [Vertex AI persistent resource support](https://docs.zenml.io/stack-components/step-operators/vertex#using-persistent-resources-for-faster-development) for step operators
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- Support for [custom log formats](https://docs.zenml.io/how-to/control-logging/set-logging-format)
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- Run metadata and tag indices for improved performance
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- [Core concepts video added to documentation](https://docs.zenml.io/getting-started/core-concepts)
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## Improvements
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- Comprehensive timezone consistency improvements across the platform
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- Enhanced database query performance for pipelines, run templates, models,
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and artifacts
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- Better handling of configured parameters during pipeline preparation
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- Support for passing run configurations as dictionaries when triggering
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pipelines
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- Enhanced sorting capabilities for columns with empty values in the dashboard
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- Improved queries for pipelines, run templates, models, and artifacts
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- Better filtering functionality for run metadata
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- More efficient artifact filtering
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- Various Helm chart improvements and reorganization
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- Updated materializer support for newer PyTorch versions
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- Improved code repository management and downloading
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- Better handling of `SecretStr` values in store configurations
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## Fixes
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- Kubernetes service connector issues resolved
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- Fixed sorting for columns with potentially empty values
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- Corrected timestamp utilization for better timezone consistency
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- Resolved issues with vLLM pipeline config file usage
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- Fixed code download functionality for custom flavor components
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- Addressed various documentation and broken links
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- Corrected MySQL database connection warnings
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- Fixed issues with Vertex AI experiment tracker documentation
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## What's Changed
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* Fix some docs by @htahir1 in https://github.com/zenml-io/zenml/pull/3302
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* Replace deprecated `datetime.utcnow()` with `datetime.now(timezone.utc)` by @aiakide in https://github.com/zenml-io/zenml/pull/3265
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* Adding the missing VertexAI experiment tracker docs by @bcdurak in https://github.com/zenml-io/zenml/pull/3308
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* Create Sagemaker pipeline schedules if specified by @htahir1 in https://github.com/zenml-io/zenml/pull/3271
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* Formatting by @schustmi in https://github.com/zenml-io/zenml/pull/3307
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* Remove trailing slashes from zenml login URLs by @stefannica in https://github.com/zenml-io/zenml/pull/3312
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* Fix Kubernetes service connector by @stefannica in https://github.com/zenml-io/zenml/pull/3313
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* Add notes on missing features for on-prem ZenML Pro deployments by @stefannica in https://github.com/zenml-io/zenml/pull/3301
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* Fix wrong warning log when directly connecting to MySQL DB by @schustmi in https://github.com/zenml-io/zenml/pull/3311
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* Fix typo by @schustmi in https://github.com/zenml-io/zenml/pull/3316
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* Minor fix for Sagemaker by @bcdurak in https://github.com/zenml-io/zenml/pull/3318
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* Rework timestamp utilization for timezone consistency by @stefannica in https://github.com/zenml-io/zenml/pull/3314
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* Add broken links checker by @htahir1 in https://github.com/zenml-io/zenml/pull/3305
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* Schedule timezone fixes by @schustmi in https://github.com/zenml-io/zenml/pull/3315
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* Misc code repository improvements by @schustmi in https://github.com/zenml-io/zenml/pull/3306
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* Add core concepts video by @htahir1 in https://github.com/zenml-io/zenml/pull/3324
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* Fix code download for custom flavor components by @schustmi in https://github.com/zenml-io/zenml/pull/3323
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* Allow passing run configuration as dict when triggering pipelines by @schustmi in https://github.com/zenml-io/zenml/pull/3326
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* Fix sorting by columns with potentially empty values by @schustmi in https://github.com/zenml-io/zenml/pull/3325
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* Allow custom log formats by @schustmi in https://github.com/zenml-io/zenml/pull/3288
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* Add vertex persistent resource to settings for step operator by @htahir1 in https://github.com/zenml-io/zenml/pull/3304
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* Fix use of config file in vLLM pipelines by @wjayesh in https://github.com/zenml-io/zenml/pull/3322
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* Fixing the CI with the new `huggingface-hub` version by @bcdurak in https://github.com/zenml-io/zenml/pull/3329
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* Handling string values as SecretStrs in store configurations by @bcdurak in https://github.com/zenml-io/zenml/pull/3319
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* More code repository improvements by @schustmi in https://github.com/zenml-io/zenml/pull/3327
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* Fix materializer for new pytorch version by @schustmi in https://github.com/zenml-io/zenml/pull/3331
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* Add some nicer docs by @htahir1 in https://github.com/zenml-io/zenml/pull/3328
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* Add run metadata and tag indices by @schustmi in https://github.com/zenml-io/zenml/pull/3310
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* Fix markdown link checker for external PRs by @schustmi in https://github.com/zenml-io/zenml/pull/3333
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* feat: implement implicit authentication for ACR and Storage Account by @lukas-reining in https://github.com/zenml-io/zenml/pull/3274
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* Add support for symlinks in GH download by @schustmi in https://github.com/zenml-io/zenml/pull/3332
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* ZenML Helm chart improvements by @stefannica in https://github.com/zenml-io/zenml/pull/3320
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* Move helm chart out of the source tree by @stefannica in https://github.com/zenml-io/zenml/pull/3338
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* Add option to skip stack validation by @schustmi in https://github.com/zenml-io/zenml/pull/3337
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* Improve queries for pipelines, run templates, models and artifacts by @schustmi in https://github.com/zenml-io/zenml/pull/3335
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* Improve configured parameter detection when preparing pipeline by @schustmi in https://github.com/zenml-io/zenml/pull/3339
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* Minor fix for the Artifact filter model by @bcdurak in https://github.com/zenml-io/zenml/pull/3334
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* Allow (un)installing integrations with system-wide uv installations by @schustmi in https://github.com/zenml-io/zenml/pull/3342
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* Fix filtering by run metadata by @schustmi in https://github.com/zenml-io/zenml/pull/3344
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## New Contributors
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* @lukas-reining made their first contribution in https://github.com/zenml-io/zenml/pull/3274
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**Full Changelog**: https://github.com/zenml-io/zenml/compare/0.73.0...0.74.0
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# 0.73.0
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The `0.73.0` release contains various changes and improvements, but most

examples/quickstart/configs/training_aws.yaml

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# Environment configuration
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settings:
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docker:
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parent_image: "715803424590.dkr.ecr.eu-central-1.amazonaws.com/zenml-public-pipelines:quickstart-0.73.0-py3.11-aws"
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parent_image: "715803424590.dkr.ecr.eu-central-1.amazonaws.com/zenml-public-pipelines:quickstart-0.74.0-py3.11-aws"
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skip_build: True # If you switch this to False remove the parent_image
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requirements: requirements.txt
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environment:

examples/quickstart/configs/training_azure.yaml

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# Environment configuration
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settings:
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parent_image: "zenmldocker/zenml-public-pipelines:quickstart-0.73.0-py3.11-azure"
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parent_image: "zenmldocker/zenml-public-pipelines:quickstart-0.74.0-py3.11-azure"
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skip_build: True
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requirements: requirements.txt
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environment:

examples/quickstart/configs/training_gcp.yaml

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# Environment configuration
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settings:
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parent_image: "zenmldocker/zenml-public-pipelines:quickstart-0.73.0-py3.11-gcp"
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parent_image: "zenmldocker/zenml-public-pipelines:quickstart-0.74.0-py3.11-gcp"
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skip_build: True
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requirements: requirements.txt
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environment:

examples/quickstart/quickstart.ipynb

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"# Common imports and setup\n",
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"if CLOUD_PROVIDER.lower() == \"gcp\":\n",
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" \"zenmldocker/zenml-public-pipelines:quickstart-0.73.0-py3.11-gcp\"\n",
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" \"zenmldocker/zenml-public-pipelines:quickstart-0.74.0-py3.11-gcp\"\n",
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" parent_image = \"339712793861.dkr.ecr.eu-central-1.amazonaws.com/zenml-public-pipelines:quickstart-0.74.0-py3.11-aws\"\n",
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" \"zenmldocker/zenml-public-pipelines:quickstart-0.74.0-py3.11-azure\"\n",
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examples/quickstart/requirements.txt

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zenml[server]==0.74.0
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notebook
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pyarrow
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datasets

examples/quickstart/requirements_aws.txt

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zenml[server]==0.74.0
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examples/quickstart/requirements_azure.txt

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examples/quickstart/requirements_gcp.txt

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helm/Chart.yaml

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apiVersion: v2
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name: zenml
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version: "0.74.0"
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description: Open source MLOps framework for portable production ready ML pipelines
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keywords:
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helm/README.md

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To install the ZenML chart directly from Amazon ECR, use the following command:
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```bash
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helm install my-zenml oci://public.ecr.aws/zenml/zenml --version 0.73.0
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# example command for version 0.74.0
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helm install my-zenml oci://public.ecr.aws/zenml/zenml --version 0.74.0
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pyproject.toml

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[tool.poetry]
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name = "zenml"
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version = "0.74.0"
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packages = [{ include = "zenml", from = "src" }]
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description = "ZenML: Write production-ready ML code."
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authors = ["ZenML GmbH <[email protected]>"]

src/zenml/VERSION

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0.74.0
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"""Release [0.74.0].
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Revision ID: 0.74.0
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Revises: 4d5524b92a30
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Create Date: 2025-02-06 08:10:51.286515
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"""
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# revision identifiers, used by Alembic.
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revision = "0.74.0"
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down_revision = "4d5524b92a30"
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branch_labels = None
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depends_on = None
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def upgrade() -> None:
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"""Upgrade database schema and/or data, creating a new revision."""
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pass
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def downgrade() -> None:
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"""Downgrade database schema and/or data back to the previous revision."""
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pass

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