Json “这是什么意思？”；“删除”；Conda存储库中的部分

从Conda主存储库下载

repodata.json

文件时，如下所示：

wget https://repo.anaconda.com/pkgs/main/linux-64/numpy-devel-1.14.3-py36ha22f7c6_2.tar.bz2

在

repodata.json

文件的末尾，我们可以看到

Removed

部分：

"removed": [
    "libtiff-4.0.10-h2733197_1001.conda",
    "libtiff-4.0.10-h2733197_1001.tar.bz2",
    "numpy-1.11.3-py27h28100ab_6.conda",
    "numpy-1.11.3-py27h28100ab_6.tar.bz2",
    "numpy-1.11.3-py27hcd700cb_6.conda",
    "numpy-1.11.3-py27hcd700cb_6.tar.bz2",
    "numpy-1.11.3-py36h28100ab_6.conda",
    "numpy-1.11.3-py36h28100ab_6.tar.bz2",
    "numpy-1.11.3-py36hcd700cb_6.conda",
    "numpy-1.11.3-py36hcd700cb_6.tar.bz2",
    "numpy-1.11.3-py37h28100ab_6.conda",
    "numpy-1.11.3-py37h28100ab_6.tar.bz2",
    "numpy-1.11.3-py37hcd700cb_6.conda",
    "numpy-1.11.3-py37hcd700cb_6.tar.bz2",
    "numpy-1.14.3-py27h28100ab_2.conda",
    "numpy-1.14.3-py27h28100ab_2.tar.bz2",
    "numpy-1.14.3-py27hcd700cb_2.conda",
    "numpy-1.14.3-py27hcd700cb_2.tar.bz2",
    "numpy-1.14.3-py35h28100ab_2.conda",
    "numpy-1.14.3-py35h28100ab_2.tar.bz2",
    "numpy-1.14.3-py35hcd700cb_2.conda",
    "numpy-1.14.3-py35hcd700cb_2.tar.bz2",
    "numpy-1.14.3-py36h28100ab_2.conda",
    "numpy-1.14.3-py36h28100ab_2.tar.bz2",
    "numpy-1.14.3-py36hcd700cb_2.conda",
    "numpy-1.14.3-py36hcd700cb_2.tar.bz2",
    "numpy-1.14.5-py35h28100ab_0.conda",
    "numpy-1.14.5-py35h28100ab_0.tar.bz2",
    "numpy-base-1.11.3-py27h2b20989_6.conda",
    "numpy-base-1.11.3-py27h2b20989_6.tar.bz2",
    "numpy-base-1.11.3-py27hdbf6ddf_6.conda",
    "numpy-base-1.11.3-py27hdbf6ddf_6.tar.bz2",
    "numpy-base-1.11.3-py36h2b20989_6.conda",
    "numpy-base-1.11.3-py36h2b20989_6.tar.bz2",
    "numpy-base-1.11.3-py36hdbf6ddf_6.conda",
    "numpy-base-1.11.3-py36hdbf6ddf_6.tar.bz2",
    "numpy-base-1.11.3-py37h2b20989_6.conda",
    "numpy-base-1.11.3-py37h2b20989_6.tar.bz2",
    "numpy-base-1.11.3-py37hdbf6ddf_6.conda",
    "numpy-base-1.11.3-py37hdbf6ddf_6.tar.bz2",
    "numpy-base-1.14.3-py27h2b20989_2.conda",
    "numpy-base-1.14.3-py27h2b20989_2.tar.bz2",
    "numpy-base-1.14.3-py27hdbf6ddf_2.conda",
    "numpy-base-1.14.3-py27hdbf6ddf_2.tar.bz2",
    "numpy-base-1.14.3-py35h2b20989_2.conda",
    "numpy-base-1.14.3-py35h2b20989_2.tar.bz2",
    "numpy-base-1.14.3-py35hdbf6ddf_2.conda",
    "numpy-base-1.14.3-py35hdbf6ddf_2.tar.bz2",
    "numpy-base-1.14.3-py36h2b20989_2.conda",
    "numpy-base-1.14.3-py36h2b20989_2.tar.bz2",
    "numpy-base-1.14.3-py36hdbf6ddf_2.conda",
    "numpy-base-1.14.3-py36hdbf6ddf_2.tar.bz2",
    "numpy-devel-1.14.3-py27h025eb46_2.conda",
    "numpy-devel-1.14.3-py27h025eb46_2.tar.bz2",
    "numpy-devel-1.14.3-py27ha22f7c6_2.conda",
    "numpy-devel-1.14.3-py27ha22f7c6_2.tar.bz2",
    "numpy-devel-1.14.3-py35h025eb46_2.conda",
    "numpy-devel-1.14.3-py35h025eb46_2.tar.bz2",
    "numpy-devel-1.14.3-py35ha22f7c6_2.conda",
    "numpy-devel-1.14.3-py35ha22f7c6_2.tar.bz2",
    "numpy-devel-1.14.3-py36h025eb46_2.conda",
    "numpy-devel-1.14.3-py36h025eb46_2.tar.bz2",
    "numpy-devel-1.14.3-py36ha22f7c6_2.conda",
    "numpy-devel-1.14.3-py36ha22f7c6_2.tar.bz2"
  ],

---

我想知道这一部分的官方含义是什么？为什么位于

删除部分下的这些包？
这些都是已撤销的包。虽然我不能不知道内幕消息（也许问问Kale Franz，因为他是NumPy版本的上传者），但可能在版本中发现了某种缺陷（与包不同），并进行了更正，发布了一个新版本（尽管仍然是相同的包版本）。我猜这里列出的所有包都是同时被撤销的，这就是为什么它们被列在一起的原因。通过查看仍在Anaconda Cloud上的文件（例如），包含
包的上传日期已被撤销
依赖项是大约一年前的日期。
这些都是撤销的包。虽然我不能不知道内幕消息（也许问问Kale Franz，因为他是NumPy版本的上传者），但可能在版本中发现了某种缺陷（与包不同），并进行了更正，发布了一个新版本（尽管仍然是相同的包版本）。我猜这里列出的所有包都是同时被撤销的，这就是为什么它们被列在一起的原因。通过查看仍在Anaconda Cloud上的文件（例如），包含
软件包的上传日期已被撤销
依赖关系的日期约为一年前