wehub-resource-sync
73 lines
3.2 KiB
TOML
73 lines
3.2 KiB
TOML
[build-system]
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requires = ["setuptools<=82.0.1"]
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build-backend = "setuptools.build_meta"
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[project]
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name = "mlflow-test-plugin"
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version = "0.0.1"
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description = "Test plugin for MLflow"
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requires-python = ">=3.10"
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# `dependencies` is commented out to avoid overriding editable installs during development.
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# Uncomment it if you need MLflow to be automatically installed with this plugin.
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# dependencies = ["mlflow"]
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[tool.setuptools.packages.find]
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where = ["."]
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include = ["mlflow_test_plugin", "mlflow_test_plugin.*"]
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# Define a Tracking Store plugin for tracking URIs with scheme 'file-plugin'
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[project.entry-points."mlflow.tracking_store"]
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file-plugin = "mlflow_test_plugin.file_store:PluginFileStore"
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# Define a ArtifactRepository plugin for artifact URIs with scheme 'file-plugin'
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[project.entry-points."mlflow.artifact_repository"]
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file-plugin = "mlflow_test_plugin.local_artifact:PluginLocalArtifactRepository"
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# Define a RunContextProvider plugin. The entry point name for run context providers
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# is not used, and so is set to the string "unused" here
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[project.entry-points."mlflow.run_context_provider"]
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unused = "mlflow_test_plugin.run_context_provider:PluginRunContextProvider"
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# Define a DefaultExperimentProvider plugin. The entry point name for
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# default experiment providers is not used, and so is set to the string "unused" here
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[project.entry-points."mlflow.default_experiment_provider"]
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unused = "mlflow_test_plugin.default_experiment_provider:PluginDefaultExperimentProvider"
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# Define a RequestHeaderProvider plugin. The entry point name for request header providers
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# is not used, and so is set to the string "unused" here
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[project.entry-points."mlflow.request_header_provider"]
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unused = "mlflow_test_plugin.request_header_provider:PluginRequestHeaderProvider"
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# Define a RequestAuthProvider plugin. The entry point name for request auth providers
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# is not used, and so is set to the string "unused" here
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[project.entry-points."mlflow.request_auth_provider"]
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unused = "mlflow_test_plugin.request_auth_provider:PluginRequestAuthProvider"
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# Define a Model Registry Store plugin for tracking URIs with scheme 'file-plugin'
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[project.entry-points."mlflow.model_registry_store"]
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file-plugin = "mlflow_test_plugin.sqlalchemy_store:PluginRegistrySqlAlchemyStore"
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# Define a MLflow Project Backend plugin called 'dummy-backend'
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[project.entry-points."mlflow.project_backend"]
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dummy-backend = "mlflow_test_plugin.dummy_backend:PluginDummyProjectBackend"
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# Define a MLflow model deployment plugin for target 'faketarget'
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[project.entry-points."mlflow.deployments"]
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faketarget = "mlflow_test_plugin.fake_deployment_plugin"
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# Define a MLflow model evaluator with name "dummy_evaluator"
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[project.entry-points."mlflow.model_evaluator"]
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dummy_evaluator = "mlflow_test_plugin.dummy_evaluator:DummyEvaluator"
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# Define a custom MLflow application with name custom_app
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[project.entry-points."mlflow.app"]
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custom_app = "mlflow_test_plugin.app:custom_app"
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# Define an MLflow dataset source called "dummy_source"
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[project.entry-points."mlflow.dataset_source"]
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dummy_source = "mlflow_test_plugin.dummy_dataset_source:DummyDatasetSource"
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# Define an MLflow dataset constructor called "from_dummy"
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[project.entry-points."mlflow.dataset_constructor"]
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from_dummy = "mlflow_test_plugin.dummy_dataset:from_dummy"
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