args_regularity_evaluation

Evaluate if the arguments are regular for hyperslab use

internal

'HDF5' is a data model, library and file format for storing
and managing large amounts of data. This package provides a nearly
feature complete, object oriented wrapper for the 'HDF5' API
<https://support.hdfgroup.org/documentation/hdf5/latest/_r_m.html> using R6 classes.
Additionally, functionality is added so that 'HDF5' objects behave very
similar to their corresponding R counterparts.

Holger Hoefling

hdf5r

Interface to the 'HDF5' Binary Data Format

Mario Annau

Novartis Institute for BioMedical Research (NIBR) 

args_regularity_evaluation function

<dl><dt>args</dt>
<dd>The arguments input; if it was empty, then set to NULL</dd>
<dt>ds_dims</dt>
<dd>The dimensions of the input dataset</dd>
<dt>envir</dt>
<dd>The environment in which to evaluate the arguments</dd>
<dt>post_read</dt>
<dd>Should the reshuffle be computed for post-read (then <code>TRUE</code>) or pre-write (then <code>FALSE</code>)</dd></dl>

Arguments

Author

Evaluate if the arguments are regular for hyperslab use — args_regularity_evaluation

<dl>

<dt>args</dt>
<dd>The arguments input; if it was empty, then set to NULL</dd>


<dt>ds_dims</dt>
<dd>The dimensions of the input dataset</dd>


<dt>envir</dt>
<dd>The environment in which to evaluate the arguments</dd>


<dt>post_read</dt>
<dd>Should the reshuffle be computed for post-read (then <code>TRUE</code>) or pre-write (then <code>FALSE</code>)</dd>

</dl>

args_regularity_evaluation: Evaluate if the arguments are regular for hyperslab use

Description

Usage

Value

Arguments

Author

Details