"depends" : [ "aws-xray-sdk !=0.96,>=0.93", "backports.tempfile", "boto >=2.36.0", "boto3 >=1.6.15", "botocore >=1.12.13", "cookies", "dicttoxml", "docker-py", "flask", "jinja2 >=2.7.3", "jsondiff 1.1.1.*", "mock", "pyaml", "python", "python-dateutil", "py...
在新环境中创建相同配置:在新环境中,使用conda env create -f environment.yml命令根据备份的YAML文件创建相同的环境配置。这将在新环境中安装与原始环境相同的包和版本。 激活新环境:使用conda activate new_env_name命令激活新环境,其中new_env_name是你在新环境中创建的环境名称。 验证迁移成功:在新环境中运行一...
When creating an environment from an environment.yml with pip dependencies, the pip subprocess fails. pip sometimes does fail for me outside of conda, I believe due to some issues with my office network & SSL interception. The problem is that the pip subprocess output appears truncated, not ...
"botocore >=1.12.13", "cookies", "dicttoxml", "docker-py", "flask", "jinja2 >=2.7.3", "jsondiff 1.1.1.*", "mock", "pyaml", "python", "python-dateutil", "python-jose <3.0.0", "pytz", "requests >=2.5", "responses >=0.9.0", "six", "werkzeug", "xmltodict" ], ...
create Create a new conda environment from a list of specified packages. help Displays a list of available conda commands and their help strings. info Display information about current conda install. init Initialize conda for shell interaction.[Experimental] ...
如果安装的软件提供了environment.yaml那么用起来,文件中对应的软件版本都很明确,解析依赖关系时更快。也可以按前面提供的方式导出一个已经配置好的环境的yaml文件,在其它电脑配置时直接读取。(具体导出方式见Bioconda软件安装神器:多版本并存、环境复制、环境导出。
When trying to create a new environment from a environment YAML file that was created on one operating system, I get errors such as the following when running on another OS: ResolvePackageNotFound: - pango 1.39.0 1 The problem is that as...
<xxx.whl> # 安装wheel包 pip uninstall <package_name> # 卸载包 conda remove <package_name> # 卸载包 -r requirements.txt --no-dependencies # 忽略冲突 conda env export > environment.yaml # 导出当前环境的包信息 pip install -r requirements.txt --cache-dir=/home/xxx/ # --cache 软件包缓存...
您可以在其他计算机上使用以下命令重新创建相同的虚拟环境:首先,创建一个新的conda环境(如果尚未创建):`conda create --name new_env`然后,使用以下命令导入先前打包的环境:`conda env create -f environment.tar.yaml`或`tar -xf environment.tar -C new_env`这将在新环境中重新创建与原始环境相同的包和版本。
1. 一个YAML格式的环境文件(environment.yml) 2. 人工指定软件包 用环境文件创建环境 YMAL是 YAML Ain’t Markup Language 的缩写, 它是对所有可用的数据序列化标准。 下面是一个环境文件(environment.yml)的例子: 在conda中可以用pip的方法安装软件: