Automate adding Type Annotations to Documentation
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3.9 (EOL)
stdlib
type-feature
- Dominant language
- Python
- Stars
- 77.2k
- Forks
- 36k
- PR merge metrics
- PR metrics pending
Description
| BPO | 39204 |
|---|---|
| Nosy | @gvanrossum, @brettcannon, @rhettinger, @ilevkivskyi, @cooperlees, @pablogsal, @tirkarthi |
Note: these values reflect the state of the issue at the time it was migrated and might not reflect the current state.
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GitHub fields:
assignee = None
closed_at = None
created_at = <Date 2020-01-03.19:12:25.475>
labels = ['type-feature', 'library', '3.9']
title = 'Automate adding Type Annotations to Documentation'
updated_at = <Date 2020-01-10.18:56:07.158>
user = 'https://github.com/cooperlees'
bugs.python.org fields:
activity = <Date 2020-01-10.18:56:07.158>
actor = 'levkivskyi'
assignee = 'none'
closed = False
closed_date = None
closer = None
components = ['Library (Lib)']
creation = <Date 2020-01-03.19:12:25.475>
creator = 'cooperlees'
dependencies = []
files = []
hgrepos = []
issue_num = 39204
keywords = []
message_count = 6.0
messages = ['359249', '359274', '359275', '359276', '359446', '359449']
nosy_count = 7.0
nosy_names = ['gvanrossum', 'brett.cannon', 'rhettinger', 'levkivskyi', 'cooperlees', 'pablogsal', 'xtreak']
pr_nums = []
priority = 'normal'
resolution = None
stage = None
status = 'open'
superseder = None
type = 'enhancement'
url = 'https://bugs.python.org/issue39204'
versions = ['Python 3.9']
Contributor guide
First steps
- Read the whole issue, then the project's contributing guide.
- Comment on the issue to say you are picking it up — it saves two people doing the same work.
- Fork the repository and make your change on a branch.
- Open a pull request that references the issue number.
Research direction
No source files, tests, or entry points are identified in the issue. Start by reviewing the linked BPO issue and the Python library documentation workflow to define how annotations should be discovered and rendered; done means the process adds type annotations to the documentation automatically.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python
- Domain
- documentation
- Issue type
- Feature
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 25/100