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🔧 ENH: Replace templates for new forms and config
This commit is contained in:
104
.github/ISSUE_TEMPLATE/bug_report.yml
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104
.github/ISSUE_TEMPLATE/bug_report.yml
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name: Bug report
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description: Create a report to help us improve
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title: "BUG - <title>"
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labels: ["type:Bug"]
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body:
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- type: markdown
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attributes:
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value: |
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Hi! Thanks for using the Jupyter Docker Stacks and taking some time to contribute to this project.
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We'd appreciate it if you could check out the [Troubleshooting common problems](https://jupyter-docker-stacks.readthedocs.io/en/latest/using/troubleshooting.html) section in the documentation.
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Please answer the following sections to help us troubleshoot the problem.
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- type: dropdown
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id: docker_images
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attributes:
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label: What docker image are you using?
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description: Select as many images as applicable
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multiple: true
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options:
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- all-spark-notebook
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- base-notebook
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- datascience-notebook
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- minimal-notebook
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- pyspark-notebook
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- r-notebook
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- scipy-notebook
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- tensorflow-notebook
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validations:
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required: true
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- type: input
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attributes:
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label: OS system you are using
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validations:
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required: true
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- type: textarea
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attributes:
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label: What Docker command are you running?
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description: |
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What complete docker command do you run to launch the container (omitting sensitive values)?
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placeholder: |
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Example:
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`docker run -it --rm -p 8888:8888 jupyter/all-spark-notebook`
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validations:
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required: true
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- type: textarea
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attributes:
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label: How to Reproduce
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description: Please provide steps to reproduce this bug (once the container is running).
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placeholder: |
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Example:
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1. Visit <http://localhost:8888>
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2. Start an R notebook
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3. ...
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validations:
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required: true
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- type: textarea
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attributes:
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label: command_output
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render: sh-session
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description: |
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Provide the output of the steps above, including the commands
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themselves and Docker's output/traceback etc. If you're familiar with
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Markdown, this block will have triple backticks added automatically
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around it -- you don't have to add them.
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If you want to present output from multiple commands, please present
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that as a shell session (commands you run get prefixed with `$ `).
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Please also ensure that the "How to reproduce" section contains matching
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instructions for reproducing this.
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- type: textarea
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attributes:
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label: Expected behavior
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description: |
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A clear and concise description of what you expected to happen.
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placeholder: |
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Example: ggplot output appears in my notebook.
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- type: textarea
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attributes:
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label: Actual behavior
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description: |
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A clear and concise description of what the bug is.
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placeholder: |
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Example: No output is visible in the notebook and the notebook server log contains messages about ...
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validations:
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required: true
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- type: textarea
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attributes:
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label: Anything else?
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description: |
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Links? References? Anything that will give us more context about the issue you are encountering!
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Tip: You can attach images or log files by clicking this area to highlight it and then dragging files in.
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validations:
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required: false
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14
.github/ISSUE_TEMPLATE/config.yml
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.github/ISSUE_TEMPLATE/config.yml
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blank_issues_enabled: false
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contact_links:
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- name: "💬 Jupyter community Discourse"
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url: https://discourse.jupyter.org/
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about: Interact with the rest of the Jupyter community
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- name: "📖 Jupyter Docker Stacks documentation"
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url: https://jupyter-docker-stacks.readthedocs.io/en/latest/index.html
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about: Go to the project's documentation
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- name: "🔍 Troubleshooting common problems"
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url: https://jupyter-docker-stacks.readthedocs.io/en/latest/using/troubleshooting.html
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about: Documentation section on troubleshooting commonly encountered errors
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- name: "(maintainers only) Blank issue"
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url: https://github.com/jupyter/docker-stacks/issues/new
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about: For maintainers only
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26
.github/ISSUE_TEMPLATE/feature_request.md
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.github/ISSUE_TEMPLATE/feature_request.md
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---
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name: Feature request
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about: Suggest an idea for this project
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title: ""
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labels: "type:Enhancement"
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assignees: ""
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---
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Hi! Thanks for using the Jupyter Docker Stacks.
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Please see the [Suggesting a new feature](https://jupyter-docker-stacks.readthedocs.io/en/latest/contributing/features.html#suggesting-a-new-feature) section in the documentation for our preferred processes.
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**What docker images this feature is applicable to?**
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Example: `jupyter/scipy-notebook`
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**What changes do you propose?**
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Example: Add a package [altair](https://altair-viz.github.io).
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**How does this change will affect users?**
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Example: Altair is a declarative statistical visualization library for Python, based on Vega and Vega-Lite, and the source is available on GitHub.
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With Altair, you can spend more time understanding your data and its meaning.
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Altair’s API is simple, friendly and consistent and built on top of the powerful Vega-Lite visualization grammar.
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This elegant simplicity produces beautiful and effective visualizations with a minimal amount of code.
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59
.github/ISSUE_TEMPLATE/feature_request.yml
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59
.github/ISSUE_TEMPLATE/feature_request.yml
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@@ -0,0 +1,59 @@
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name: Feature request
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description: Suggest a new feature for this project
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labels: ["type:Enhancement"]
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title: "[ENH]: <title>"
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body:
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- type: markdown
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attributes:
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value: >-
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Hi! Thanks for using the Jupyter Docker Stacks and taking some time to contribute to this project.
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We'd appreciate it if you could check out the [Suggesting a new feature](https://jupyter-docker-stacks.readthedocs.io/en/latest/contributing/features.html#suggesting-a-new-feature) section in the documentation for our preferred processes before submitting a feature request.
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- type: dropdown
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id: docker_images
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attributes:
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label: What docker images is this feature applicable to?
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description: Select as many images as applicable
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multiple: true
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options:
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- all-spark-notebook
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- base-notebook
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- datascience-notebook
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- minimal-notebook
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- pyspark-notebook
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- r-notebook
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- scipy-notebook
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- tensorflow-notebook
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validations:
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required: true
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- type: textarea
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attributes:
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label: What changes are you proposing?
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description: >-
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Example:
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- Add the [altair](https://altair-viz.github.io) package to the image.
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validations:
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required: true
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- type: textarea
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attributes:
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label: How does this affect the user?
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description: >-
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Example:
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- Altair is a declarative statistical visualization library for Python, based on Vega and Vega-Lite, and the source is available on GitHub.
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- With Altair, you can spend more time understanding your data and its meaning.
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- Altair’s API is simple, friendly and consistent and built on top of the powerful Vega-Lite visualization grammar.
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- This elegant simplicity produces beautiful and effective visualizations with a minimal amount of code.
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validations:
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required: true
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- type: textarea
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attributes:
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label: Anything else?
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description: >-
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Links? References? Anything that will give us more context about the feature you are proposing.
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validations:
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required: false
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