use string.empty

Author: scivision

+hdf5nc/coerce_ds.m

@@ -1,10 +1,16 @@
 function A = coerce_ds(A, dtype)
 % used by h5save and ncsave
 arguments
-  A {mustBeNonempty}
-  dtype (1,1) string
+  A {mustBeNumeric,mustBeNonempty}
+  dtype string
 end
 
+if isempty(dtype)
+  return
+end
+
+assert(isscalar(dtype), "dtype must be scalar")
+
 switch dtype
   case ""
     return

+hdf5nc/h5save.m

@@ -7,7 +7,7 @@ function h5save(filename, varname, A, opts)
   varname (1,1) string
   A {mustBeNumeric,mustBeNonempty}
   opts.size (1,:) {mustBeInteger,mustBeNonnegative} = []
-  opts.type (1,1) string = ""
+  opts.type string = string.empty
 end
 
 filename = hdf5nc.expanduser(filename);
@@ -23,7 +23,6 @@ function h5save(filename, varname, A, opts)
 end
 % coerce if needed
 A = hdf5nc.coerce_ds(A, opts.type);
-
 if ischar(A)
   A = string(A);
   sizeA = size(A);
@@ -80,7 +79,6 @@ function new_file(filename, varname, A, sizeA)
 
 end % function
 
-
 % Copyright 2020 Michael Hirsch, Ph.D.
 
 % Licensed under the Apache License, Version 2.0 (the "License");

+hdf5nc/h5variables.m

@@ -2,19 +2,19 @@
 % get dataset names and groups in an HDF5 file
 arguments
   filename (1,1) string
-  group (1,1) string = ""
+  group string = string.empty
 end
 
-names = string([]);
-groups = string([]);
+names = string.empty;
+groups = string.empty;
 
 finf = h5info(hdf5nc.expanduser(filename));
 ds = finf.Datasets;
 if isempty(ds)
   return
 end
 
-if group ~= ""
+if ~isempty(group)
   gs = finf.Groups;
   i = string({gs(:).Name}) == group;
   if ~any(i)

+hdf5nc/ncsave.m

@@ -7,7 +7,7 @@ function ncsave(filename, varname, A, opts)
   varname (1,1) string
   A {mustBeNumeric,mustBeNonempty}
   opts.dims cell = {}
-  opts.type (1,1) string = ""
+  opts.type string = string.empty
 end
 
 filename = hdf5nc.expanduser(filename);