How to solve java.lang.IllegalArgumentException: unknown DataType == long while attempting to create a netCDF-3 file?

[lungsi]

I am trying to use netCDF as my primary container for data storage but attempting to create a netCDF-3 file as per the tutorials at the build step fails for me. I get

caught exception: java.lang.IllegalArgumentException: unknown DataType == long

I am using
netcdfAll-5.6.0.jar
such that it is loaded and called in Clojure. For example, in Clojure REPL I import the necessary functions

(import ucar.nc2.write.NetcdfFormatWriter)
(import ucar.ma2.DataType) ; ma for masked array
(import ucar.nc2.Attribute)
(import ucar.ma2.Array)
(import ucar.ma2.Index)

Then, to replicate the example in the tutorial we get

(def builder (NetcdfFormatWriter/createNewNetcdf3 "test.h5"))
(def latDim (.addDimension builder "lat" 64))
(def lonDim (.addDimension builder "lon" 128))
(def dims (java.util.ArrayList.))
(.add dims latDim)
(.add dims lonDim)
(def t (.addVariable builder "temperature" DataType/DOUBLE dims))
(.addAttribute t (Attribute. "units" "K"))
(def data (Array/factory DataType/INT (int-array [3]) (int-array [1 2 3])))
(.addAttribute t (.build (.setValues (Attribute/builder "scale") data)))
(def svar_len (.addDimension builder "svar_len" 80))
(.addVariable builder "svar" DataType/CHAR "svar_len")
(def names (.addDimension builder "names" 3))
(.addVariable builder "names" DataType/CHAR "names svar_len")
(.addVariable builder "scalar" DataType/DOUBLE [])
(.addAttribute builder (Attribute. "versionStr" "v"))
(.addAttribute builder (Attribute. "versionD" 1.2))
(.addAttribute builder (Attribute. "versionI" 1))

Finally, when I try to write it to the disk with

(try
    (.build builder)
    (catch Exception e (println (str "caught exception: " (.toString e)))))

I get

caught exception: java.lang.IllegalArgumentException: unknown DataType == long

How can I solve this issue?

Regards,

Lungsi

[lungsi]

I think I figured out the what caused the exception warning. Its because of passing the Clojure vector [] in place of new ArrayList<Dimension>() in

(.addVariable builder "scalar" DataType/DOUBLE [])