2 more typos spotted by @mvdbeek

This commit is contained in:
Martin Cech
2017-01-25 10:33:06 -05:00
committed by GitHub
parent f3810f842f
commit f40489e66e
+2 -2
View File
@@ -335,7 +335,7 @@ First, you may wish to enable cached dependencies. This can be done by setting
per job Conda environment with just the dependencies needed for that job installed.
This will be placed on the filesystem containg the job working directory. This
is an expensive operation and Conda doesn't always link environments correctly
accross filesystems. Enabling this job caching will create a cache for each required
across filesystems. Enabling this job caching will create a cache for each required
combination of requirements in the directory specified by ``tool_dependency_cache_dir``
in ``galaxy.ini`` (defaulting to ``<tool_dependency_dir>/_cache``).
@@ -350,7 +350,7 @@ the number of jobs that would require such caching (see `Pull Request #3391`_).
If Galaxy jobs run on filesystems that cannot hardlink Conda packages managed
by Galaxy, linking errors may occur when building environment to execute jobs.
There are a few ways to potentially work around this discussed below.
There are a few ways to potentially work around this.
The most straight forward and efficient work around is probably just to enable the cached
dependency manager as described in the previous question. Notice the default location