SYNOPSIS

       datalad-drop  [-h]  [-d  DATASET]  [-r]  [--recursion-limit  LEVELS]  [--nocheck] [--if-dirty {fail,save-
              before,ignore}] [PATH [PATH ...]]

DESCRIPTION

       Drop file content from datasets

       This command takes any number of paths of files and/or directories. If a common (super)dataset  is  given
       explicitly, the given paths are interpreted relative to this dataset.

       Recursion  into  subdatasets  needs  to be explicitly enabled, while recursion in subdirectories within a
       dataset as always done automatically. An optional recursion limit is applied relative to each given input
       path.

       By default, the availability of at least one remote copy is verified, before file content is dropped.  As
       these checks could lead to slow operation (network latencies, etc), they can be disabled.

       Examples:

       Drop all file content in a dataset::

         ~/some/dataset$ datalad drop

       Drop all file content in a dataset and all its subdatasets::

         ~/some/dataset$ datalad drop --recursive

OPTIONS

       PATH   path/name of the component to be dropped. Constraints: value must be a string [Default: None]

       -h, --help, --help-np
              show  this  help message. --help-np forcefully disables the use of a pager for displaying the help
              message

       -d DATASET, --dataset DATASET
              specify the dataset to perform the operation on. If no dataset is given, an  attempt  is  made  to
              identify  a dataset based on the PATH given. Constraints: Value must be a Dataset or a valid iden‐
              tifier of a Dataset (e.g. a path) [Default: None]

       -r, --recursive
              if set, recurse into potential subdataset. [Default: False]

       --recursion-limit LEVELS
              limit recursion into subdataset to the given number of levels. Constraints: value must be convert‐
              ible to type 'int' [Default: None]

       --nocheck
              whether to perform checks to assure the configured minimum number (remote) source for  data.  Give
              this option to skip checks. [Default: True]

       --if-dirty {fail, save-before, ignore}
              desired behavior if a dataset with unsaved changes is discovered: 'fail' will trigger an error and
              further  processing is aborted; 'save-before' will save all changes prior any further action; 'ig‐
              nore' let's datalad proceed as if the dataset would not have unsaved changes. [Default:  'save-be‐
              fore']

AUTHORS

        datalad is developed by The DataLad Team and Contributors <team@datalad.org>.

datalad-drop 0.9.3                                 2018-04-03                                    datalad-drop(1)