Show how to apply black formatting when black --check . fails
#4978
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Signed-off-by: harupy <17039389+harupy@users.noreply.github.com>
harupy
commented
Nov 1, 2021
lint.sh
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| if [ $? -ne 0 ]; then | ||
| echo 'Run this command to apply Black formatting:' | ||
| echo 'pip install $(cat dev/lint-requirements.txt | grep "black==") && black .' | ||
| fi |
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This message looks like:
https://github.com/mlflow/mlflow/runs/4064207010?check_suite_focus=true#step:6:11
would reformat /home/runner/work/mlflow/mlflow/mlflow/__init__.py
Oh no! 💥 💔 💥
1 file would be reformatted, 514 files would be left unchanged.
Run this command to apply Black formatting:
pip install $(cat dev/lint-requirements.txt | grep "black==") && black .
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What changes are proposed in this pull request?
Show how to apply black formatting when
black --check .fails to allow contributors to fix black errors by themselves.How is this patch tested?
NA
Release Notes
Is this a user-facing change?
(Details in 1-2 sentences. You can just refer to another PR with a description if this PR is part of a larger change.)
What component(s), interfaces, languages, and integrations does this PR affect?
Components
area/artifacts: Artifact stores and artifact loggingarea/build: Build and test infrastructure for MLflowarea/docs: MLflow documentation pagesarea/examples: Example codearea/model-registry: Model Registry service, APIs, and the fluent client calls for Model Registryarea/models: MLmodel format, model serialization/deserialization, flavorsarea/projects: MLproject format, project running backendsarea/scoring: MLflow Model server, model deployment tools, Spark UDFsarea/server-infra: MLflow Tracking server backendarea/tracking: Tracking Service, tracking client APIs, autologgingInterface
area/uiux: Front-end, user experience, plotting, JavaScript, JavaScript dev serverarea/docker: Docker use across MLflow's components, such as MLflow Projects and MLflow Modelsarea/sqlalchemy: Use of SQLAlchemy in the Tracking Service or Model Registryarea/windows: Windows supportLanguage
language/r: R APIs and clientslanguage/java: Java APIs and clientslanguage/new: Proposals for new client languagesIntegrations
integrations/azure: Azure and Azure ML integrationsintegrations/sagemaker: SageMaker integrationsintegrations/databricks: Databricks integrationsHow should the PR be classified in the release notes? Choose one:
rn/breaking-change- The PR will be mentioned in the "Breaking Changes" sectionrn/none- No description will be included. The PR will be mentioned only by the PR number in the "Small Bugfixes and Documentation Updates" sectionrn/feature- A new user-facing feature worth mentioning in the release notesrn/bug-fix- A user-facing bug fix worth mentioning in the release notesrn/documentation- A user-facing documentation change worth mentioning in the release notes