poetry1.7.1で`poetry show`コマンドでパッケージを指定すると、Python環境に応じたパッケージのバージョンを出力しない

:::note
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。

```toml:pyproject.toml
[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。

```plain:poetry.lock
# 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"},
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    {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"},
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]

[[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-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:02f98011ba4ab17f46f80f7f8f1c291ee7d855fcef0a5a98db80767a468c85cd"},
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    {file = "numpy-1.26.3-pp39-pypy39_pp73-macosx_10_9_x86_64.whl", hash = "sha256:3c67423b3703f8fbd90f5adaa37f85b5794d3366948efe9a5190a5f3a83fc34e"},
    {file = "numpy-1.26.3-pp39-pypy39_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:46f47ee566d98849323f01b349d58f2557f02167ee301e5e28809a8c0e27a2d0"},
    {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。

![image.png](https://qiita-image-store.s3.ap-northeast-1.amazonaws.com/0/37903/9694903e-ee7a-f676-577f-fdb18114807f.png)


# 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。

https://github.com/python-poetry/poetry/issues/8945#issuecomment-1926578075