use name=value syntax for clarity

+stdlib/+fileio/which.m

@@ -11,9 +11,8 @@
 import stdlib.fileio.expanduser
 
 if ispc
-  pathext = ".exe";
-  if ~endsWith(name, pathext)
-    name = name + pathext;
+  if ~endsWith(name, ".exe")
+    name = name + ".exe";
   end
 end
 

+stdlib/+hdf5nc/h5save.m

@@ -51,9 +51,9 @@ function exist_file(filename, varname, A, sizeA)
 if isscalar(A)
   h5write(filename, varname, A)
 elseif all(diskshape == sizeA)
-  h5write(filename, varname, A, start, sizeA)
+  h5write(filename, varname, A, start, count=sizeA)
 elseif all(diskshape == fliplr(sizeA))
-  h5write(filename, varname, A.', start, fliplr(sizeA))
+  h5write(filename, varname, A.', start, count=fliplr(sizeA))
 else
   error('hdf5nc:h5save:value_error', ['shape of ',varname,': ', int2str(sizeA), ' does not match existing HDF5 shape ', int2str(diskshape)])
 end
@@ -74,7 +74,7 @@ function new_file(filename, varname, A, sizeA)
     h5_write_scalar(filename, varname, A)
     return
   elseif isvector(A)
-    h5create(filename, varname, length(A), 'DataType', class(A))
+    h5create(filename, varname, length(A), Datatype=class(A))
   else
     create_compress(filename, varname, A, size(A))
   end
@@ -84,7 +84,7 @@ function new_file(filename, varname, A, sizeA)
       h5_write_scalar(filename, varname, A)
       return
     else
-      h5create(filename, varname, sizeA, 'DataType', class(A))
+      h5create(filename, varname, sizeA, Datatype=class(A))
     end
   else
     create_compress(filename, varname, A, sizeA)

+stdlib/+hdf5nc/ncsave.m

@@ -84,18 +84,17 @@ function new_file(filename, varname, A, sizeA, ncdims)
 end
 
 if isscalar(A)
-  nccreate(filename, varname, 'Datatype', class(A), 'Format', 'netcdf4')
+  nccreate(filename, varname, Datatype=class(A), Format='netcdf4')
 elseif isvector(A)
-  nccreate(filename, varname, 'Dimensions', ncdims, 'Datatype', class(A), 'Format', 'netcdf4')
+  nccreate(filename, varname, Dimensions=ncdims, Datatype=class(A), Format='netcdf4')
 else
   % enable Gzip compression--remember Matlab's dim order is flipped from
   % C / Python
-  % "Datatype" to be Octave case-sensitive keyword compatible
-  nccreate(filename, varname, 'Dimensions', ncdims, ...
-    'Datatype', class(A), ...
-    'DeflateLevel', 1, 'Shuffle', true, ...
-    'ChunkSize', auto_chunk_size(sizeA), ...
-    'Format', 'netcdf4')
+  nccreate(filename, varname, Dimensions=ncdims, ...
+    Datatype=class(A), ...
+    DeflateLevel=1, Shuffle=true, ...
+    ChunkSize=auto_chunk_size(sizeA), ...
+    Format='netcdf4')
 end
 
 ncwrite(filename, varname, A)

+stdlib/+hdf5nc/private/create_compress.m

@@ -4,8 +4,8 @@ function create_compress(filename, varname, A, sizeA)
 
 import stdlib.hdf5nc.auto_chunk_size
 
-h5create(filename, varname, sizeA, 'DataType', class(A), ...
-  'Deflate', 1, 'Fletcher32', true, 'Shuffle', true, ...
-  'ChunkSize', auto_chunk_size(sizeA))
+h5create(filename, varname, sizeA, Datatype=class(A), ...
+  Deflate=1, Fletcher32=true, Shuffle=true, ...
+  ChunkSize=auto_chunk_size(sizeA))
 
 end

+stdlib/TestHDF5.m

@@ -43,7 +43,7 @@ function setup_file(tc)
 h5save(basic, '/A0', A0)
 h5save(basic, '/A1', A1)
 h5save(basic, '/A2', A2)
-h5save(basic, '/A3', A3, "size", size(A3))
+h5save(basic, '/A3', A3, size=size(A3))
 h5save(basic, '/A4', A4)
 h5save(basic, "/utf", utf)
 h5save(basic, "/utf2", utf2)
@@ -204,11 +204,11 @@ function test_shape(tc)
 import stdlib.hdf5nc.h5size
 basic = tc.TestData.basic;
 
-h5save(basic, "/vector1", 34, "size", 1)
+h5save(basic, "/vector1", 34, size=1)
 s = h5size(basic, '/vector1');
 tc.verifyEqual(s, 1);
 
-h5save(basic, "/scalar", 34, "size", 0)
+h5save(basic, "/scalar", 34, size=0)
 s = h5size(basic, '/scalar');
 tc.verifyEmpty(s);
 
@@ -222,7 +222,7 @@ function test_coerce(tc, type)
 
 vn = "/" + type;
 
-h5save(basic, vn, 0, "type", type)
+h5save(basic, vn, 0, type=type)
 
 tc.assumeThat(basic, IsFile)
 

+stdlib/TestNetCDF.m

@@ -43,9 +43,9 @@ function setup_file(tc)
 % create test data first, so that parallel tests works
 ncsave(basic, 'A0', A0)
 ncsave(basic, 'A1', A1)
-ncsave(basic, 'A2', A2, "dims", {'x2', size(A2,1), 'y2', size(A2,2)})
-ncsave(basic, 'A3', A3, "dims", {'x3', size(A3,1), 'y3', size(A3,2), 'z3', size(A3,3)})
-ncsave(basic, 'A4', A4, "dims", {'x4', size(A4,1), 'y4', size(A4,2), 'z4', size(A4,3), 'w4', size(A4,4)})
+ncsave(basic, 'A2', A2, dims={'x2', size(A2,1), 'y2', size(A2,2)})
+ncsave(basic, 'A3', A3, dims={'x3', size(A3,1), 'y3', size(A3,2), 'z3', size(A3,3)})
+ncsave(basic, 'A4', A4, dims={'x4', size(A4,1), 'y4', size(A4,2), 'z4', size(A4,3), 'w4', size(A4,4)})
 ncsave(basic, "utf0", utf0)
 ncsave(basic, "utf1", utf1)
 ncsave(basic, "utf2", utf2)
@@ -185,7 +185,7 @@ function test_coerce(tc, type)
 
 vn = type;
 
-ncsave(basic, vn, 0, "type", type)
+ncsave(basic, vn, 0, type=type)
 
 tc.assumeThat(basic, IsFile)
 

Readme.md

@@ -45,13 +45,13 @@ This is particularly useful when writing HDF5 files to be used in other programm
 Matlab may collapse singleton dimensions otherwise.
 
 ```matlab
-h5save(filename, dataset_name, dataset, "size", [3,1])
+h5save(filename, dataset_name, dataset, size=[3,1])
 ```
 
 Likewise, the type of the dataset may be explicitly specified with the "type" argument:
 
 ```matlab
-h5save(filename, dataset_name, dataset, "type", "int32")
+h5save(filename, dataset_name, dataset, type="int32")
 ```
 
 ---

buildfile.m

@@ -0,0 +1,7 @@
+function plan = buildfile
+plan = buildplan(localfunctions);
+end
+
+function testTask(~)
+assertSuccess(runtests('stdlib'))
+end