Suitable for using conda programmaticallyĬan be used multiple times. Equivalent to setting 'ssl_verify' to 'false' Use cache of channel index files, even if it has expiredĪllow conda to perform insecure SSL connections and transfers. Install all packages using copies instead of hard- or soft-linkingĬreate the environment directory if necessaryĪllow clobbering of overlapping file paths within packages, and suppress related warnings Update all installed packages in the environment Similar to the default behavior of 'pip install' Refer to these tables for older TensorFlow version requirements. Also skips aggressive updates as configured by 'aggressive_update_packages'. For the preview build (nightly), use the pip package named tf-nightly. Use at your own riskĮnsure that any user-requested package for the current operation is uninstalled and reinstalled, even if that package already exists in the environmentĭo not update or change already-installed dependenciesĮxit early and do not run the solver if the requested specs are satisfied. This WILL lead to broken environments and inconsistent behavior. Overrides the value given by conda config -show channel_priorityĭo not install, update, remove, or change dependencies. Package version takes precedence over channel priority. Packages in lower priority channels are not considered if a package with the same name appears in a higher priority channel micromamba can be used to install lock files generated by conda-lock without having to install conda-lock. See the repoquery documentation for details. Leftmost entries are tried first, and the fallback to repodata.json is added for you automatically To efficiently query repositories and query package dependencies you can use mamba repoquery or micromamba repoquery. This is used to employ repodata that is reduced in time scope. Conda will try whatever you specify, but will ultimately fall back to repodata.json if your specs are not satisfiable with what you specify here. Specify name of repodata on remote server. Identical to '-c local'ĭo not search default or. condarc channel_alias value will be prepended. You can use 'defaults' to get the default packages for conda. condarc are searched (unless -override-channels is given). They are given (including local directories using the 'file://' syntax or simply a path like '/home/conda/mychan' or './mychan'). This is mainly for use during tests where we test new conda source against old Python versionsįull path to environment location (i.e. Use sys.executable -m conda in wrapper scripts instead of CONDA_EXE. Repeated file specifications can be passed (e.g. Read package versions from the given file.
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