| Age | Commit message (Collapse) | Author |
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Diff: https://github.com/numpy/numpy/compare/v2.3.4...v2.3.5
Changelog: https://github.com/numpy/numpy/releases/tag/v2.3.5
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Diff: https://github.com/numpy/numpy/compare/v2.3.3...v2.3.4
Changelog: https://github.com/numpy/numpy/releases/tag/v2.3.4
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Changelog: https://github.com/numpy/numpy/releases/tag/v2.3.3
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Changelog: https://github.com/numpy/numpy/releases/tag/v2.3.2
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Use `(enabled|disabled)(TestPaths|TestMarks|Tests)` and `pytestFlags`
instead of the `__structuredAttrs`-incompatible `pytestFlagsArray`.
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Changelog: https://github.com/numpy/numpy/releases/tag/v2.3.1
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Changelog: https://github.com/numpy/numpy/releases/tag/v2.3.0
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Changelog: https://github.com/numpy/numpy/releases/tag/v2.2.6
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Upstream bug at https://github.com/numpy/numpy/issues/27460 likely just
needs it's error band increased. A similar bug was fixed in Scipy
https://github.com/scipy/scipy/issues/22495 (closed) also.
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Changelog: https://github.com/numpy/numpy/releases/tag/v2.2.4
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Changelog: https://github.com/numpy/numpy/releases/tag/v2.2.3
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Changelog: https://github.com/numpy/numpy/releases/tag/v2.2.2
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Changelog: https://github.com/numpy/numpy/releases/tag/v2.2.0
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Those would be problematic with __structuredAttrs turned on, because
they'd turn those nice bash arrays back into strings - and potentially
lose some of the values on the way.
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https://github.com/numpy/numpy/releases/tag/v2.1.3
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The distutils version vendored in setuptools 74.0 and later does not have
the msvccompiler class any longer.
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Changelog: https://github.com/numpy/numpy/releases/tag/v2.1.2
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In preparation for the deprecation of `stdenv.isX`.
These shorthands are not conducive to cross-compilation because they
hide the platforms.
Darwin might get cross-compilation for which the continued usage of `stdenv.isDarwin` will get in the way
One example of why this is bad and especially affects compiler packages
https://www.github.com/NixOS/nixpkgs/pull/343059
There are too many files to go through manually but a treewide should
get users thinking when they see a `hostPlatform.isX` in a place where it
doesn't make sense.
```
fd --type f "\.nix" | xargs sd --fixed-strings "stdenv.is" "stdenv.hostPlatform.is"
fd --type f "\.nix" | xargs sd --fixed-strings "stdenv'.is" "stdenv'.hostPlatform.is"
fd --type f "\.nix" | xargs sd --fixed-strings "clangStdenv.is" "clangStdenv.hostPlatform.is"
fd --type f "\.nix" | xargs sd --fixed-strings "gccStdenv.is" "gccStdenv.hostPlatform.is"
fd --type f "\.nix" | xargs sd --fixed-strings "stdenvNoCC.is" "stdenvNoCC.hostPlatform.is"
fd --type f "\.nix" | xargs sd --fixed-strings "inherit (stdenv) is" "inherit (stdenv.hostPlatform) is"
fd --type f "\.nix" | xargs sd --fixed-strings "buildStdenv.is" "buildStdenv.hostPlatform.is"
fd --type f "\.nix" | xargs sd --fixed-strings "effectiveStdenv.is" "effectiveStdenv.hostPlatform.is"
fd --type f "\.nix" | xargs sd --fixed-strings "originalStdenv.is" "originalStdenv.hostPlatform.is"
```
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Changelog: https://github.com/numpy/numpy/releases/tag/v2.1.1
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Changelog: https://github.com/numpy/numpy/releases/tag/v2.1.0
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Changelog: https://github.com/numpy/numpy/releases/tag/v2.0.1
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Removes deprecated and removed unittest module functions.
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https://github.com/numpy/numpy/releases/tag/v2.0.0
Default for Python 3.13, since Numpy 1.26.x lacks support for it.
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Found with `fd \\.patch$ pkgs/ -x bash -c 'rg -F "{/}" pkgs/ -q || echo {}'`
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In the past I was very active with Python packaging.
For several years now I was hardly around as maintainer,
so it does not make sense I am listed as a maintainer for
these makes. Looking back, I should have removed myself
as maintainer already much longer ago. Anyway, better late
than never.
It's been a fun ride, and I do intend to occasionally contribute
to Nixpkgs, but not in the same way it once was.
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Folds the cython_3 attribute into the primary cython attribute and
migrates all packages from the versioned attribute.
The old version will be provided through the cython_0 attribute in an
effort to phase it out.
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The nixpkgs-unstable channel's programs.sqlite was used to identify
packages producing exactly one binary, and these automatically added
to their package definitions wherever possible.
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pandas, numpy, numba, llvmlite updates
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https://github.com/numpy/numpy/releases/tag/v1.26.4
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