この記事に書かれているコマンドは、2024/01/16(numpyの最新バージョンが1.26.3のとき)に実行しました。
環境
- Python 3.12.1
- poetry 1.7.1
やりたいこと
Python3.8から3.12をサポートするツールを開発しています。
ツールはnumpyに依存しています。
以下のpyproject.toml
を利用しています。
[tool.poetry]
name = "install-test-312"
version = "0.1.0"
description = ""
authors = ["yuji38kwmt"]
readme = "README.md"
packages = [{include = "install_test_312"}]
[tool.poetry.dependencies]
python = "^3.8"
numpy = [
{version = ">=1.26", python = ">=3.9"},
{version = "<1.25", python = "=3.8"}
]
[build-system]
requires = ["poetry-core"]
build-backend = "poetry.core.masonry.api"
起きたこと
Python3.12でpoetry install
した場合、numpy 1.26.3がインストールされることを期待しています。
実際に以下のコマンドを実行すると、numpy 1.26.3がインストールされていることを確認できました。
$ poetry run python -c "import numpy; print(numpy.__version__);"
1.26.3
しかしpoetry show
コマンドの結果はnumpy 1.24.4でした。これはなぜなのでしょうか?
$ poetry show numpy
name : numpy
version : 1.24.4
description : Fundamental package for array computing in Python
いろいろ試す
poetyr.lock
の中身です。2つのnumpyのバージョンが記載されていました。
# This file is automatically @generated by Poetry 1.7.1 and should not be changed by hand.
[[package]]
name = "numpy"
version = "1.24.4"
description = "Fundamental package for array computing in Python"
optional = false
python-versions = ">=3.8"
files = [
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{file = "numpy-1.24.4-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:ed094d4f0c177b1b8e7aa9cba7d6ceed51c0e569a5318ac0ca9a090680a6a1b1"},
{file = "numpy-1.24.4-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:79fc682a374c4a8ed08b331bef9c5f582585d1048fa6d80bc6c35bc384eee9b4"},
{file = "numpy-1.24.4-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:7ffe43c74893dbf38c2b0a1f5428760a1a9c98285553c89e12d70a96a7f3a4d6"},
{file = "numpy-1.24.4-cp310-cp310-win32.whl", hash = "sha256:4c21decb6ea94057331e111a5bed9a79d335658c27ce2adb580fb4d54f2ad9bc"},
{file = "numpy-1.24.4-cp310-cp310-win_amd64.whl", hash = "sha256:b4bea75e47d9586d31e892a7401f76e909712a0fd510f58f5337bea9572c571e"},
{file = "numpy-1.24.4-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:f136bab9c2cfd8da131132c2cf6cc27331dd6fae65f95f69dcd4ae3c3639c810"},
{file = "numpy-1.24.4-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:e2926dac25b313635e4d6cf4dc4e51c8c0ebfed60b801c799ffc4c32bf3d1254"},
{file = "numpy-1.24.4-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:222e40d0e2548690405b0b3c7b21d1169117391c2e82c378467ef9ab4c8f0da7"},
{file = "numpy-1.24.4-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:7215847ce88a85ce39baf9e89070cb860c98fdddacbaa6c0da3ffb31b3350bd5"},
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{file = "numpy-1.24.4-cp311-cp311-win_amd64.whl", hash = "sha256:b7b1fc9864d7d39e28f41d089bfd6353cb5f27ecd9905348c24187a768c79694"},
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{file = "numpy-1.24.4-cp38-cp38-macosx_11_0_arm64.whl", hash = "sha256:04640dab83f7c6c85abf9cd729c5b65f1ebd0ccf9de90b270cd61935eef0197f"},
{file = "numpy-1.24.4-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:a5425b114831d1e77e4b5d812b69d11d962e104095a5b9c3b641a218abcc050e"},
{file = "numpy-1.24.4-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:dd80e219fd4c71fc3699fc1dadac5dcf4fd882bfc6f7ec53d30fa197b8ee22dc"},
{file = "numpy-1.24.4-cp38-cp38-win32.whl", hash = "sha256:4602244f345453db537be5314d3983dbf5834a9701b7723ec28923e2889e0bb2"},
{file = "numpy-1.24.4-cp38-cp38-win_amd64.whl", hash = "sha256:692f2e0f55794943c5bfff12b3f56f99af76f902fc47487bdfe97856de51a706"},
{file = "numpy-1.24.4-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:2541312fbf09977f3b3ad449c4e5f4bb55d0dbf79226d7724211acc905049400"},
{file = "numpy-1.24.4-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:9667575fb6d13c95f1b36aca12c5ee3356bf001b714fc354eb5465ce1609e62f"},
{file = "numpy-1.24.4-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:f3a86ed21e4f87050382c7bc96571755193c4c1392490744ac73d660e8f564a9"},
{file = "numpy-1.24.4-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:d11efb4dbecbdf22508d55e48d9c8384db795e1b7b51ea735289ff96613ff74d"},
{file = "numpy-1.24.4-cp39-cp39-win32.whl", hash = "sha256:6620c0acd41dbcb368610bb2f4d83145674040025e5536954782467100aa8835"},
{file = "numpy-1.24.4-cp39-cp39-win_amd64.whl", hash = "sha256:befe2bf740fd8373cf56149a5c23a0f601e82869598d41f8e188a0e9869926f8"},
{file = "numpy-1.24.4-pp38-pypy38_pp73-macosx_10_9_x86_64.whl", hash = "sha256:31f13e25b4e304632a4619d0e0777662c2ffea99fcae2029556b17d8ff958aef"},
{file = "numpy-1.24.4-pp38-pypy38_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:95f7ac6540e95bc440ad77f56e520da5bf877f87dca58bd095288dce8940532a"},
{file = "numpy-1.24.4-pp38-pypy38_pp73-win_amd64.whl", hash = "sha256:e98f220aa76ca2a977fe435f5b04d7b3470c0a2e6312907b37ba6068f26787f2"},
{file = "numpy-1.24.4.tar.gz", hash = "sha256:80f5e3a4e498641401868df4208b74581206afbee7cf7b8329daae82676d9463"},
]
[[package]]
name = "numpy"
version = "1.26.3"
description = "Fundamental package for array computing in Python"
optional = false
python-versions = ">=3.9"
files = [
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{file = "numpy-1.26.3-pp39-pypy39_pp73-win_amd64.whl", hash = "sha256:a8474703bffc65ca15853d5fd4d06b18138ae90c17c8d12169968e998e448bb5"},
{file = "numpy-1.26.3.tar.gz", hash = "sha256:697df43e2b6310ecc9d95f05d5ef20eacc09c7c4ecc9da3f235d39e71b7da1e4"},
]
[metadata]
lock-version = "2.0"
python-versions = "^3.8"
content-hash = "d21e7750bc087a5f1d29c66e88279ecb14320d3030358ea2f005bf707f37c1cb"
poetry show
コマンドでパッケージを指定しないと、期待するバージョンが出力されました。
$ poetry show
numpy 1.26.3 Fundamental package for array computing in Python
$ poetry show --all
numpy 1.24.4 Fundamental package for array computing in Python
numpy 1.26.3 Fundamental package for array computing in Python
また、poetry show --all
の出力結果ではnumpy 1.26.3のフォントの色は緑色で、実際にインストールされているパッケージが分かるようになっていました。
原因
poetry show
コマンドでパッケージを指定したときは、poetry.lock
の先頭に記載されているバージョンを出力しているだけだからのようです。
poetry.lock
でnumpy 1.26.3を先に記述すれば、poetry show numpy
の結果はnumpy 1.26.3でした。
この挙動はバグなのかもしれません。
GitHubにissueを作成しました。