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README.md

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# kfp-local
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Pipelines built with [kfp(kubeflow pipeline)](https://github.com/kubeflow/pipelines) execute in k8s cluster.
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During the development of kubeflow pipeline components, we usually upload the pipeline to kfp server and run it in k8s, if anything wrong we fix it locally and upload it again.
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During the development of kubeflow pipeline components, we usually upload the pipeline to kfp server and run it in k8s, if anything wrong we fix it locally and upload it again.
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It should be helpful for the development efficiency if the above process takes place in local host, that's what `kfp-local` cares.
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)
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if result.success:
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a_output_filepath = result.get_output_file(task_name="a-task", output="a_output_name")
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```
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## Additional configuration
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There are some options of `ExecutionMode`:
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* mode: Default execution mode, default 'docker'
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* images_to_exclude: If the image of op is in images_to_exclude, the op is
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executed in the mode different from default_mode.
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For more information about how to make use of kfp_local, please refer to unit test.
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## kfp compatibility
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kfp-local is tested with kfp=1.8.9 for now.
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kfp-local is tested with kfp>=1.8.9,<2.0 for now.
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Supports:
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* Control flow: Condition, ParallelFor, ExitHandler
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Don't support for now:
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* Importer
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* Artifact iterator
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* Caching
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* Caching

kfp_local/_version.py

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__version__ = "1.0.1"
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__version__ = "1.1.0"

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