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Merge pull request #202598 from Blackmist/update-image0623
updating images
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articles/machine-learning/how-to-cicd-data-ingestion.md

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artifact: di-notebooks
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```
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The pipeline uses [flake8](https://pypi.org/project/flake8/) to do the Python code linting. It runs the unit tests defined in the source code and publishes the linting and test results so they're available in the Azure Pipeline execution screen:
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![linting unit tests](media/how-to-cicd-data-ingestion/linting-unit-tests.png)
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The pipeline uses [flake8](https://pypi.org/project/flake8/) to do the Python code linting. It runs the unit tests defined in the source code and publishes the linting and test results so they're available in the Azure Pipeline execution screen.
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If the linting and unit testing is successful, the pipeline will copy the source code to the artifact repository to be used by the subsequent deployment steps.
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