========================================= 软件包搜索和安装规范 ========================================= Package search and install specifications .. tab:: 中文 Conda 支持以下用于 ``conda search`` 和 ``conda install`` 的规范写法。 .. tab:: 英文 Conda supports the following specifications for ``conda search`` and ``conda install``. 软件包搜索 ============== Package search .. tab:: 中文 可以通过多种方式使用 ``conda search`` 来搜索特定软件包或软件包集合。本节介绍了标准规范(standard specification)以及键值对(key-value pair)的使用方式。 .. tab:: 英文 ``conda search`` for a specific package or set of packages can be accomplished in several ways. This section includes information on the standard specification and the use of key-value pairs. 标准规范 ---------------------- Standard specification .. tab:: 中文 .. figure:: ../../img/conda_search.png :width: 100% **channel** (可选)可以是频道名称或 URL。频道名称可包含字母、数字、短横线和下划线。 **subdir** (可选)频道的子目录。许多子目录用于表示不同的体系架构,但并非必须。必须在其前面提供频道名和斜杠,例如:``main/noarch``。 **name** (必需)软件包名称。可包含 ``*`` 通配符。例如,``*py*`` 将返回所有名称中包含 "py" 的软件包,如 "numpy"、"pytorch"、"python" 等。 **version** (可选)软件包版本。可包含 ``*`` 通配符,或使用单引号括起的版本范围。例如:``numpy=1.17.*`` 将返回所有版本包含 "1.17." 的 numpy 包, ``numpy>1.17,<1.19.2`` 将返回版本大于 1.17 且小于 1.19.2 的 numpy 包。 **build** (可选)软件包构建名称。可包含 ``*`` 通配符。例如:``numpy 1.17.3 py38*`` 将返回所有版本为 1.17.3 且构建名称中包含 "py38" 的 numpy 包。 .. tab:: 英文 .. figure:: ../../img/conda_search.png :width: 100% **channel** (Optional) Can either be a channel name or URL. Channel names may include letters, numbers, dashes, and underscores. **subdir** (Optional) A subdirectory of a channel. Many subdirs are used for architectures, but this is not required. Must have a channel and backslash preceding it. For example: ``main/noarch`` **name** (Required) Package name. May include the ``*`` wildcard. For example, ``*py*`` returns all packages that have "py" in their names, such as "numpy", "pytorch", "python", etc. **version** (Optional) Package version. May include the ``*`` wildcard or a version range(s) in single quotes. For example: ``numpy=1.17.*`` returns all numpy packages with a version containing "1.17." and ``numpy>1.17,<1.19.2`` returns all numpy packages with versions greater than 1.17 and less than 1.19.2. **build** (Optional) Package build name. May include the ``*`` wildcard. For example, ``numpy 1.17.3 py38*`` returns all version 1.17.3 numpy packages with a build name that contains the text "py38". 键值对 --------------- Key-value pairs .. tab:: 中文 还可以使用称为“键值对表示法(key-value pair notation)”的语法进行软件包搜索,它的规则与 :ref:`Standard specification` 示例图略有不同。下面的搜索语法将返回与标准规范相同的软件包列表。 .. code-block:: none $ conda search "numpy[channel=conda-forge, subdir=linux-64, version=1.17.*, build=py38*]" 键值对语法支持以下键值字段: .. program-output:: python -c 'import conda.models.match_spec as M; print("-", "\n- ".join([f"{field:20} # validated via {M._implementors.get(field, M.ExactStrMatch).__name__}" for field in sorted(M.MatchSpec.FIELD_NAMES)]))' :shell: 标准语法与键值对语法可以同时使用。 .. code-block:: none $ conda search "conda-forge::numpy=1.17.3[subdir=linux-64, build=py38*]" .. warning:: 如果同时使用标准语法和键值对语法,键值对语法中的字段值将覆盖标准语法中的对应值。例如: ``conda search numpy 1.17.3[version=1.19.2]`` 将返回版本为 ``1.19.2`` 的软件包。 .. tab:: 英文 Package searches can also be performed using what is called "key-value pair notation", which has different rules than the :ref:`Standard specification` example image. The search below will return the same list of packages as the standard specification. .. code-block:: none $ conda search "numpy[channel=conda-forge, subdir=linux-64, version=1.17.*, build=py38*]" This notation supports the following key-value pairs: .. program-output:: python -c 'import conda.models.match_spec as M; print("-", "\n- ".join([f"{field:20} # validated via {M._implementors.get(field, M.ExactStrMatch).__name__}" for field in sorted(M.MatchSpec.FIELD_NAMES)]))' :shell: Key-value pair notation can be used at the same time as standard notation. .. code-block:: none $ conda search "conda-forge::numpy=1.17.3[subdir=linux-64, build=py38*]" .. warning:: Any search values using the key-value pair notation will override values in the rest of the search string. For example, ``conda search numpy 1.17.3[version=1.19.2]`` will return packages with the version ``1.19.2``. 软件包安装 ==================== Package installation .. tab:: 中文 在安装软件包时,Conda 推荐尽可能明确指定。使用 ``*`` 通配符或版本范围很可能会引发冲突。 不过,在安装命令中 **适当使用** ``*`` 通配符仍可能带来帮助。 .. tab:: 英文 When you're installing packages, conda recommends being as concrete as possible. Using ``*`` wildcards and version ranges during an install will most likely cause a conflict. However, ``*`` wildcards can still be helpful in an install command when used sparingly. 使用通配符安装 ------------------------- Installing with wildcards .. tab:: 中文 假设你在开发的项目需要某个软件包的 2.3 版本。如果你升级到 2.4 或 3.0,项目将会出错。你使用环境文件来创建环境。 在版本号 ``2.3.1`` 中, ``2`` 是主版本(major), ``3`` 是次版本(minor), ``1`` 是补丁(patch)。补丁通常包含 bug 修复。因此,如果你希望环境始终维持在 ``2.3`` 的范围内,不升级到 ``2.4`` 或 ``3.0``,但又希望获得 bug 修复更新,那么在环境文件中使用 ``2.3.*`` 将非常有帮助。 .. tab:: 英文 Let's say you are working on a project that requires version 2.3 of a package. If you upgrade to 2.4 or 3.0, your project will break. You're also using an environment file to create your environment. In the version ``2.3.1``, ``2`` is the major version, ``3`` is the minor version, and ``1`` is the patch. Patches typically contain bug fixes, so if you want to keep version ``2.3`` in your environment without updating to ``2.4`` or ``3.0``, but want to take advantage of any bug fixes, using ``2.3.*`` in your environment file would be helpful to you. 具体安装示例 ------------------------ Concrete install example .. tab:: 中文 我们可以参考前文 :ref:`Package search` 小节中的搜索示例: .. code-block:: none $ conda search "conda-forge/linux-64::numpy 1.17.* py38*" 该命令将返回如下结果: .. code-block:: none Loading channels: done # Name Version Build Channel numpy 1.17.3 py38h95a1406_0 conda-forge numpy 1.17.5 py38h18fd61f_1 conda-forge numpy 1.17.5 py38h95a1406_0 conda-forge 你可以根据需要选择特定版本和构建,然后更新你的 ``conda install`` 命令,例如: .. code-block:: none $ conda install "conda-forge/linux-64::numpy 1.17.5 py38h95a1406_0" .. tab:: 英文 Let's take the search from the :ref:`Package search` section. .. code-block:: none $ conda search "conda-forge/linux-64::numpy 1.17.* py38*" This returns the following: .. code-block:: none Loading channels: done # Name Version Build Channel numpy 1.17.3 py38h95a1406_0 conda-forge numpy 1.17.5 py38h18fd61f_1 conda-forge numpy 1.17.5 py38h95a1406_0 conda-forge You can then choose a specific version and build, if necessary, and edit your ``conda install`` command accordingly. .. code-block:: none $ conda install "conda-forge/linux-64::numpy 1.17.5 py38h95a1406_0"