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Insights: numpy/numtype
Overview
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- 14 Merged pull requests
- 1 Open pull request
- 0 Closed issues
- 6 New issues
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14 Pull requests merged by 2 people
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🎨 have
ruff formatignore trailing commas#571 merged
May 20, 2025 -
🔨 only delete
__init__.pyiwhen "unstubbing"#570 merged
May 20, 2025 -
🔧 enforce more
ruffrules#569 merged
May 20, 2025 -
📄 remove license trove classifier
#563 merged
May 19, 2025 -
👷 rebuild docs on lockfile change
#562 merged
May 19, 2025 -
⬆️ dump development dependencies
#561 merged
May 19, 2025 -
📌 numpy 2.2.6
#560 merged
May 19, 2025 -
♻️ variadic associated rank types
#559 merged
May 19, 2025 -
⬆️ Bump DavidAnson/markdownlint-cli2-action from 19 to 20
#558 merged
May 16, 2025 -
✨ os-dependent
dtypes.[U]LongDTypebit-widths and a new_numtype.ToDType[U]Longtype#556 merged
May 14, 2025 -
✨ dtype typar default for
ndarray#555 merged
May 14, 2025 -
💚 fix tox config
#554 merged
May 14, 2025 -
⬆️ bump development dependencies
#553 merged
May 14, 2025 -
✨
HasRank{LE,GE}type aliases for for broadcasting shaped things#552 merged
May 14, 2025
1 Pull request opened by 1 person
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✨ some `numpy.linalg` stubs improvements
#572 opened
May 20, 2025
6 Issues opened by 1 person
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remove the `numpy._typing._ArrayLike` aliases in favor of the ones in `_numtype`
#568 opened
May 19, 2025 -
move the `numpy._typing._char_codes` literals to `_numtype`
#567 opened
May 19, 2025 -
remove the `numpy._typing._DTypeLike{}` aliases in favor of `_numtype.ToDType{}`
#566 opened
May 19, 2025 -
move `numpy._typing._ShapeLike` to `numtype`
#565 opened
May 19, 2025 -
improve `ndarray.__getitem__` with rank-typing
#557 opened
May 15, 2025 -
`same_kind` casting type-aliases
#551 opened
May 14, 2025
3 Unresolved conversations
Sometimes conversations happen on old items that aren’t yet closed. Here is a list of all the Issues and Pull Requests with unresolved conversations.
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Rank-typing
#539 commented on
May 19, 2025 • 0 new comments -
use `uv` build backend
#470 commented on
May 19, 2025 • 0 new comments -
port the `numpy.ma` typing improvements from NumPy
#456 commented on
May 20, 2025 • 0 new comments